Compendium_on_Environment_Statistics_2020.pdf

B
COMPENDIUM ON ENVIRONMENT
STATISTICS OF PAKISTAN 2020
Pakistan Bureau of Statistics
Government of Pakistan
ISLAMABAD

Mr. Mathar Niaz Rana
Secretary/Chief Statistician
M/O Planning Development & Special Initiatives
“P” Block, Pak Secretariat
Islamabad
Email: secretary@pc.gov.pk
Phone: 051-9206444
Fax: 051-9202704
Ismail Khan
Deputy Director General
Statistics House
21- Mauve Area, G-9/1, Islamabad
Tel: 051-9106555
Fax: 051-9106556
Email: ismail.khan@pbs.gov.pk

COMPENDIUM ON ENVIRONMENT
STATISTICS OF PAKISTAN
2020
ISLAMABAD

FOREWORD
As an inescapable concomitant with the traditional route of economic development, Pakistan has
been facing natural resource degradation and pollution problems. The unsavory spectacle of air pollution,
water contamination and other macro environmental impacts such as water logging, land degradation
and desertification, are on rise. All this, in conjunction with rapid growth in population, have been
instrumental to the expanding tentacles of poverty. In order to assess the environmental problems as a
prelude to arrest the pace of degeneration and provide for sustainable course of economic development,
the availability of adequate data is imperative. This publication is an attempt to provide relevant statistics
compiled through secondary sources collected from different departments and organizations.
The task of environmental data collection does not consist just in determining the frame and
approaching the selected sources of information because environmental statistics per se do not exist as
a ready-to-compile/pick category as generally perceived about data and statistics. The information on
environment has generated through deliberate scientific observations and measurements in a consistent
way, under the aegis of specialized agencies. Since it is skill and resource intensive pursuit and generally
undertaken in public sector, the overall budgetary/financial constraints do take the toll of the canvas and
continuity of environmental data generation down the time lane.
Consequently, availability of the statistics falls short of desired level. Further, the studies
pertaining to normal over a period of time are repeated after long time intervals, which may not conform
with the quinquennial periodicity of this document. Similarly, many variables antecedental, associated
with and, consequential to, environment are derived from Population Census, which is yet to be carried
out even though the stipulated decennial time frame has long been overstepped.
Nevertheless, the latest update of the compendium is a good attempt to mirror quite a few
environmental factors as a means to raise awareness and help stay focus on the pivotality of
environmental concerns for instituting sustainable development paradigm-the only way forward to
ensuring the continuity of human race on the face of planet earth. It expected that it will assist the
Government for developing new policies and further necessary measures to improve the environment.
I hope that researchers, planners and environmentalists would find this document useful for their
specific pursuits. Comments/suggestions for further improvement of this report would be welcomed and
will be highly appreciated.
The report is also available on www.pbs.gov.pk.
Mr. Mathar Niaz Rana
Secretary/Chief Statistician
Islamabad
January, 2021
i

Pakistan Bureau of Statistics prepared the 1st Compendium on Environment Statistics of
Pakistan in 1998 under the Technical Assistance of Asian Development Bank in accordance with, as far
as possible, the guidelines of United Nations “Framework for the Development of Environment Statistics
(FDES)”. It has since been updating it as a regular activity with quinquennial periodicity. Compendium
on Environment Statistics of Pakistan 2020 is the fourth update in the series follow the previous format
with addition of COVID-19 data. The predecessor of the current one presented the statistics of 2015
vintage. Notwithstanding exclusive reliance on mail inquiry, all possible efforts have been made to collect
available secondary data for the compendium. This report is an attempt to present a real picture of
highliting the factors which effects the environment.
I hope this opportunity to acknowledge the debt of gratitude owed to our worthy respondents of
data both in public and in private sector. I would also like to appreciate the staff of Social Statistics Section
for their untiring efforts towards compiling this document in accordance with in the stipulated periodicity.
I do hope that the planners, researcher and other users at large will find this document useful for their
varied inquests.
ISMAIL KHAN
Islamabad
January, 2021
ii
PREFACE

GENSIS OF THE REPORT
The compilation of Compendium on Environment Statistics of Pakistan 2020
owes to the untiring efforts of the following staff of the Pakistan Bureau of Statistics.
Mr. Ismail Khan
Mrs. Aisha Khaliq,
Chief Statistical Officer
Mrs. Zahida Parveen
Statistical Officer
Mr. Muhammad Bukhsh
Statistical Officer
Mr. Muhammad Azhar
Statistical Assistant
Mr. Shabbir Ali
Steno Typist
Mr. Muhammad Munir
Mr. Inam-ul-Haq Abbasi
Mr. Muhammad Shakeel
Mrs. Shahla Nusheen
Mrs. Munaza Jabeen
iii

CONTENTS
FOREWORD ..............................................................................................................................................................................i
PREFACE..................................................................................................................................................................................ii
GENSIS OF THE REPORT ......................................................................................................................................................iii
CONTENTS ..............................................................................................................................................................................iv
SECTION - A
SOCIO-ECONOMIC ACTIVITIES AND NATURAL EVENTS .......................................................................... 1
A-I Demographic Situation...................................................................................................................................... 1
A-II Housing............................................................................................................................................................. 8
A-III Labour Force................................................................................................................................................... 12
A-IV Land Utilization................................................................................................................................................ 13
A-V Agriculture....................................................................................................................................................... 13
A-VI Water............................................................................................................................................................... 13
A-VII Livestock ......................................................................................................................................................... 17
A-VIII Forestry........................................................................................................................................................... 17
A-IX Transportation................................................................................................................................................. 18
Table A-01: Population of Pakistan by Region/Province, Land Area and Percentage Distribution, 1951 to 2017
Censuses ........................................................................................................................................................ 19
Table A-01-a: Population of Pakistan by Region/Province, Land Area and Percentage Distribution 2013-2018.................. 19
Table A-02: Population Density by Region/Province, 1951 to 2017 Censuses .................................................................. 20
Table A-02-a: Population Density by Region/Province, 2013-2018....................................................................................... 20
Table A-03: Percentage Distribution of Pop (10 years and over)by Marital Status Pakistan and Provinces, 2017-18....... 21
Table A-04: Population (10 years and above) by Age, Sex and Literacy 2017-18............................................................. 22
Table A-05: Percentage Distribution of Total Population and That of 10 Years Age and Over by Age, Sex, Area and
Nature of Activities, 2017-18........................................................................................................................... 23
Table A-06: Population (10 years and above) by Age groups, Sex and Marital Status for Urban and Rural Areas, 2017-
18 .................................................................................................................................................................... 24
Table A-07: Employed Population (10 years and above) by Major Occupation, Sex, Broad Age Group and Rural/Urban
Areas 2017-18................................................................................................................................................. 27
Table A-08: Working Population (10 years and above) by Industry Status, Sex, Broad Age Group, All Areas 2017-18 ... 30
Table A-09: Percentage Distribution of Households by Housing Tenure PSLM 2014-15 and 2018-19 ............................. 36
Table A-10: Percentage Distribution of Households by Material Used for Walls PSLM, 2014-15 and 2018-19................ 37
Table A-11: Percentage Distribution of Households by Material Used for Roof PSLM 2014-15 and 2018-19................... 38
Table A-12: Percentage Distribution of Households by Fuel Used for Lighting PSLM 2014-15 and 2018-19.................... 39
Table A-13: Percentage Distribution of Households by Fuel Used for Cooking PSLM 2014-15 and 2018-19................... 40
Table A-14: Percentage Distribution of Households by Main Source of Drinking Water- Pakistan and Provinces 2013-14,
2014-15 & 2018-19 ......................................................................................................................................... 41
Table A-15: Percentage Distribution of Housing Units by Type of Toilet Used and Urban/Rural ....................................... 42
Table A-16: Percentage Distribution of Civilian Labour Force............................................................................................ 43
Table A-17: Percentage Distribution of Population by Economic Category........................................................................ 44
Table A-18: Percentage Distribution of Employed Persons by Major Industry Division ..................................................... 45
Table A-19: Percentage Distribution of Employed Persons by Major Occupational Group................................................ 46
Table A-20: Land Utilization Statistics ............................................................................................................................ 47
TableA-21: Area under Agricultural Crops......................................................................................................................... 48
Table A-22: Production of Agricultural Crops ..................................................................................................................... 50
Table A-22: Production of Agricultural Crops ..................................................................................................................... 51
Table A-23: Number of Tube wells by Province ................................................................................................................. 52
Table A-24: Overall Water Availability at Farm Gate.......................................................................................................... 53
Table A-25: Production of Chemical Fertilizers .................................................................................................................. 54
Table A-26: Season-Wise Consumption of Fertilizers........................................................................................................ 54
Table A-27: Usage of Fertilizers by Crops.......................................................................................................................... 55
Table A-28: Consumption of Pesticides.............................................................................................................................. 55
Table A-29: Estimated Livestock Population ...................................................................................................................... 56
Table A-30: Estimated Livestock Products......................................................................................................................... 58
Table A-31: Estimated Milk Production............................................................................................................................... 59
Table A-32: Estimated Meat and Eggs Production............................................................................................................. 60
Table A-33: Fish Production ............................................................................................................................................... 61
Table A-34: Total Catch of Fish and their Indices............................................................................................................... 62
Table A-35: Fishermen Engaged in Marine and Inland Fisheries....................................................................................... 62
Table A-36: Number of Fishing Crafts in Pakistan.............................................................................................................. 63

Table A-37: Forest Products of Pakistan............................................................................................................................ 64
Table A-38: Uses of Forest Resources (Estimated Wood Consumption in Various End-uses) ......................................... 64
Table A-39: Production of Manufacturing Items ................................................................................................................. 65
Table A-40: Mineral Production in Pakistan........................................................................................................................ 68
Table A-41: Crude Oil Production by Field ......................................................................................................................... 70
Table A-42: Petroleum Energy Products Consumption by Sector...................................................................................... 77
Table A-43: Petroleum Energy Products Consumption by Province .................................................................................. 78
Table A-44: Consumption of Petroleum (Energy) Products by Fuel................................................................................... 78
Table A-45: Consumption of Indigenous Coal by Sector.................................................................................................... 79
Table A-46: Associated Gas Production by Field ............................................................................................................... 80
Table A-47: Non-Associated Gas Production by Field ....................................................................................................... 82
Table A-48: Natural Gas Consumption by Sector............................................................................................................... 91
Table A-49: Natural Gas Consumption 2018-19 by Province............................................................................................. 92
Table A-50: Gas Supplies to Fertilizer and Power Sectors by Source ............................................................................... 93
Table A-51: Installed Capacity of Electricity Generation..................................................................................................... 94
Table A-52: Gross Generation of Electricity by Source ...................................................................................................... 96
Table A-53: Electricity Consumption by Sector (Public Utilities Only) ................................................................................ 96
Table A-54: Electricity Consumption by Province (Public Utilities Only)............................................................................. 97
Table A-55: Fuel Consumption for Thermal Power Generation.......................................................................................... 97
Table A-56: Thermal Electricity Generation by Fuel........................................................................................................... 98
Table A-57: Field-wise Production of Coal in Pakistan....................................................................................................... 98
Table A-58: Energy Consumption by Sector ...................................................................................................................... 99
Table A-59: International Shipping-Entered and Cleared at Karachi Port/Port Qasim ..................................................... 101
Table A-60: Number and Registered Tonnage of Native Crafts by Nationalities, which Entered/Cleared in Coastal
Shipping with Cargo into/From Karachi Port................................................................................................. 102
Table A-61: Total Passengers Handled at Civil Airports in Pakistan (Scheduled and Non-scheduled)............................ 102
Table A-62: Air Traffic of Passengers, Freight and Mail of Pakistan International Airlines............................................... 103
Table A-63: Major Traffic Flows by Airlines during the Year 2019 (Location All).............................................................. 104
Table A-64: Major Traffic Flows by Airports during the July, 2018 to June, 2019(Location All) ....................................... 106
Table A-65: Cargo and Mail Handled at Civil Airports ...................................................................................................... 107
Table A-66: Transport Statistics ....................................................................................................................................... 108
Table A-67: Number of Motor Vehicles Registered .......................................................................................................... 109
Table A-68: Motor Vehicles on Road................................................................................................................................ 110
Table A-69: Post and Telecommunications...................................................................................................................... 111
Table A-70: Traffic Accidents............................................................................................................................................ 112
Table A-71: River In-flow at Rim Stations in Pakistan ...................................................................................................... 114
Table A-72: Population Served with Water Supply and Sanitation Facilities in WASA Area, District Lahore................... 115
Table A-73: Population Served with Water Supply, Sewerage and Drainage Facilities of Various Cities........................ 116
Table A-74: Distance to Water Source by Province and Source, PSLM 2019 ................................................................. 118
Table A-75: Municipal Solid Waste Disposal System (Transportation) at Selected Cities during 2019............................ 120
Table A-76: Municipal Solid Waste Disposal System (by Number of Employees) at selected cities during 2019............ 121
Table A-77: Municipal Solid Waste Disposal System (Sanitary Landfill/Dumps) at selected cities during 2019 .............. 121
Table A-78: Garbage Collection System from the Household by Province ...................................................................... 122
Table A-79: Type of Sanitation System Used-by Province............................................................................................... 123
Table A-80: Daily Analysis of Air Quality at Jail Road Lahore- 1st July 2019.................................................................... 124
Table A-81: Daily Quality Monitoring Report of Ambient Air of Various Cities of Punjab During November 2018 ........... 125
Table A-82: Month wise Analysis of Air Quality at Town Hall ........................................................................................... 127
Table A-83: Tide Data off Seashore Karachi.................................................................................................................... 128
Table A-84: Films Released by Language........................................................................................................................ 129
Table A-85: Documentary Films Produced/Released....................................................................................................... 130
Table A-86: Dramas and Plays Produced/Released ........................................................................................................ 131
Table A-87: Cinemas and Seating Capacity therein by Province..................................................................................... 132
Table A-88: Visitors, Type of Attraction, Total Expenditure and Income by Zoo .............................................................. 133
Table A-89: Visitors, Type of Attraction, Total Expenditure and Income by Zoo .............................................................. 134
SECTION - B
ENVIRONMENTAL IMPACTS OF SOCIO-ECONOMIC ACTIVITIES AND NATURAL EVENTS............... 135
Table B-01: Area under Agricultural Crops and Fruits Indices (2008-09=100)................................................................. 136
Table B-01: Area under Agricultural Crops and Fruits Indices (2008-09=100)................................................................. 137

Table B-02: Production of Agricultural Crops and Fruits Indices (2008-09=100) ............................................................. 138
Table B-03: Quantity and Value of Export of Major Agricultural Commodities ................................................................. 140
Table B-04: Import of other Agricultural Commodities...................................................................................................... 142
Table B-05: Import of Edible Oil........................................................................................................................................ 143
Table B-06: Import of Milk and Milk Products ................................................................................................................... 144
Table B-07: Import of Fertilizers ....................................................................................................................................... 145
Table B-08: Import of Wood and Wood Products............................................................................................................. 146
Table B-09: Export of Crude Oil and Petroleum Products ................................................................................................ 148
Table B-10: Import of Petroleum Products ....................................................................................................................... 149
Table B-11: Import of Crude Oil........................................................................................................................................ 150
Table B-12: Import of Coal * ............................................................................................................................................. 150
Table B-13: Revenue Earned by Forest Department ....................................................................................................... 151
Table B-14: Solid Waste Generation Estimates ............................................................................................................... 151
Table B-15: Physical Composition of Waste..................................................................................................................... 152
Table B-16 (a): Waste Generation Rate and Amount........................................................................................................... 154
Table- B-17: Results of Chemical Analysis of Water Samples from River Ravi................................................................. 155
Table B-18: Who Installed the Water Delivery System by Province, 2018-19.................................................................. 163
Table B-19: Extent of Water logging and Salinity ............................................................................................................. 164
Table B-20: Summary of Different Types of Pollutants on the Coast of Pakistan, 2015 to 2019...................................... 165
Table B-21: Major Natural Disasters in Pakistan.............................................................................................................. 166
Table B-22: Heavy Rains / Snowfall in February / March 2019........................................................................................ 166
Table B-23: Monsoon 2019 (June - September 2019)..................................................................................................... 167
Table B-24: Earthquake 2019 Mirpur Kashmir ( 24 September 2019 ) ............................................................................ 168
Table B-25: Earthquake 2019 North Westren Kashmir ( 30 December 2019 )................................................................. 169
Table B-26: Financial Assistance Provided during Earthquake -30 December 2019 by GBDA....................................... 169
SECTION - C
RESPONSES TO ENVIRONMENTAL IMPACTS ........................................................................................ 170
C-I Climate.......................................................................................................................................................... 170
C-II Temperature.................................................................................................................................................. 171
C-III Rain Fall........................................................................................................................................................ 172
C-IV Pressure and Winds...................................................................................................................................... 172
Table C-01: Sunshine Hours at Selected Centres (Percentage of Long Term average).................................................. 174
Table C-02: Temperature at Selected Centres (Mean of Maximum) ................................................................................ 175
Figure:1 Mean Monthly Maximum/Minimum Temperature (oC) Islamabad (SRC)...................................................... 179
Figure:2 Mean Monthly Maximum/Minimum Temperature (oC) Lahore (PBO) ........................................................... 180
Figure:3 Mean Monthly Maximum/Minimum Temperature (oC) Karachi (Airport) ....................................................... 181
Figure:4 Mean Monthly Maximum/Minimum Temperature (oC) Peshawar (Airport).................................................... 182
Figure:5 Mean Monthly Maximum/Minimum Temperature (oC) Quetta (S.MANDA)................................................... 183
Table C-03: Rainfall at Selected Centres.......................................................................................................................... 184
Table C-04: Air Pressure at Selected Centres.................................................................................................................. 186
Table C-05: Vapour Pressure at Selected Centres (mbs) ................................................................................................ 191
Table C-06: Area of Crops Covered by Ground Plant Protection Measures in Pakistan.................................................. 193
Table C-07: Area Covered By Ground Plant Protection Measures................................................................................... 194
Table C-08: Area Irrigated by Different Sources............................................................................................................... 195
Table C-09: River Flow Availability (Kharif and Rabi)....................................................................................................... 196
Table C-10: Summary of Protected Areas in Pakistan (based on NCCW data) 2018 ...................................................... 197
Table C-11: Forest Area (2018-19)................................................................................................................................... 198
Table C-12: Share of Forestry in Value Added of Agriculture Sector ............................................................................... 198
Table C-13: Area of Forests by Legal Classification for the year 2018-19 ....................................................................... 199
Table C-14: Forest Area under the Control of Forest Departments by Types of Vegetation for the year 2018-19........... 199
Table C-15: Area Afforested ............................................................................................................................................. 200
Table C-16: Area Regenerated......................................................................................................................................... 201
Table C-17: Quality of Ground Water at Various Locations of Faisalabad during 2019 ................................................... 202
Table C-18: Phase out of HCFC 141b Implemented by UNIDO 2015 to 2019................................................................. 203
Table C-19: Phase out of HCFC 141b Implemented by UNIDO, 2016 to 2020................................................................ 203
SECTION - D
INVENTORIES, STOCKS AND BACKGROUND CONDITIONS ................................................................. 204
D-II Health............................................................................................................................................................ 211
D-II.iii Health Manpower.......................................................................................................................................... 213
D-III Family Planning............................................................................................................................................. 214

D-IV Extended Programme of Immunization (EPI)............................................................................................... 216
D-V COVID-19...................................................................................................................................................... 216
Table D-V: Province wise detail of COVID-19 from March, 2020 to 18th August-2020 .................................................. 218
Table D-01 Literacy Rates (10 years & above) by Province, Sex and Area .................................................................... 219
Table D-02: Number of Institutions, Enrollment and Number of Teachers by Sex and Level of Educational Institutions. 220
Table D-03: Professional Colleges by Type and Sex ....................................................................................................... 224
Table D-04: Teachers in Professional Colleges by Type and Sex.................................................................................... 225
Table D-05: Number of Secondary Vocational Institutions by Kind .................................................................................. 226
Table D-06: Enrollment in Secondary Vocational Institutions by Kind and Sex................................................................ 227
Table D-07: Medical Personnel in Pakistan...................................................................................................................... 228
Table D-08: Hospitals, Dispensaries, Maternity & Child Health Centres and Beds .......................................................... 229
Table D-09: Electricity Balances (Public Utilities only)...................................................................................................... 230
Table D-10: Natural Gas Reserves as on June 30th, 2019 .............................................................................................. 231
Table D-11: Associated Gas Reserves as on 30th June, 2019 ........................................................................................ 237
Table D-12: Pakistan Coal Resources as on 30th June, 2019 ......................................................................................... 239
Table D-13: Bunkering of Petroleum Products ................................................................................................................. 241
Table D-14: Immunization Coverage ................................................................................................................................ 242
Table D-15: Performance of Contraceptive Delivery Services through Population Welfare Programme, Pakistan.......... 243
Table D-15: Performance of Contraceptive Delivery Services through Population Welfare Programme, Balochistan..... 244
REGIONAL COMPARISON ..................................................................................................................................................248
Table 1: Midyear Population ....................................................................................................................................... 248
Table 2: Migration and Urbanization ........................................................................................................................... 249
Table 3: Agriculture Land Use (% of total land area) .................................................................................................. 250
Table 4: Deforestation and Pollution........................................................................................................................... 251
Table 5: Freshwater Resources.................................................................................................................................. 253
Table 6: Energy Production and Imports..................................................................................................................... 254
Table 7: Use of Energy ............................................................................................................................................... 255
CONCEPTS AND DEFINITIONS ..........................................................................................................................................256
ACRONYMS..........................................................................................................................................................................262

1
SECTION - A
Socio-Economic Activities and Natural Events
As national and international level the environmental problems are mainly caused by a variety of
demographic and socio-economic factors viz, population growth, agricultural and industrial development,
poverty, etc. Human activities are associated with environment involving continuous exchange and
transformation of materials. Man’s exploitation of resources without sustainability considerations leads to
environmental degradation to the detriment of biosphere.
This section presents data on population growth, housing, Labour force, land utilization,
agriculture, large-scale manufacturing, minerals, energy, transport and communication, water quality,
noise level, waste generation and disposal, air quality, wave heights and tides and recreation.
A-I Demographic Situation
Average annual growth rate of population calculated based on decennial Censuses. 2.45
percent in 1961, peaked to 3.69 % in 1972 and set on declining thereafter to the level of 2.40 percent in
2017 Census. Rural growth followed the overall pattern while urban growth has since been declining.
However, in line with the expected demographic transition, percentage population share of rural areas
has been decreasing while that of urban areas increasing.
Table: A-I Population Distribution, Growth Rates and Percentage Share by Urban and Rural Areas
Year
Population (Million) Growth Rates Percentage Share
All
Areas
Rural
Area
Urban
Area
All
Areas
Rural
Area
Urban
Area
Rural
Area
Urban
Area
1951 33.75 27.76 5.99 - - - 82.25 17.75
1961 42.88 33.23 9.65 2.45 1.83 4.94 77.50 22.50
1972 65.31 48.72 16.59 3.69 3.35 4.77 74.60 25.40
1981 84.25 60.41 23.84 3.06 2.58 4.38 71.70 28.30
1998 132.35 89.31 43.04 2.69 2.33 3.53 67.5 32.5
2017 * 207.77 132.19 75.58 2.40 2.23 2.7 63.62 36.38
Source: - i. Pakistan Bureau of Statistics
II. Economic Survery of Pakistan.
* Provisional
Figure: A-1 (a) Population Trends 1951 to 2017*
0
50
100
150
200
250
1951 1961 1972 1981 1998 2017*
Million
All Areas Rural Area Urban Area

2
Figure: A-1 (b) Average Annual Growth Rate 1961 to 2017 *
* Provisional
Rapid urbanization is one of the foremost hallmarks of the demographic scene of Pakistan.
The five most populous cities of Pakistan are shown in Table A-II. According to the Census, 2017 the
most populous city of Pakistan is Karachi having population of 14.91 million and second most populous
city is Lahore having population of 11.13 million. In the last 19 years, a rapid increase has been observed
in the population of Lahore city and the population becomes doubles as compared to the previous census
i.e.1998. As Pakistan’s resourcefulness does not concede ample space to prioritize infrastructural
development, rapid urbanization is likely to lead to proliferation of slums to the detriment of physical,
social and administrative environment of urban localities.
Table: A-II Most Populous Cities of Pakistan
In Millions
Cities 1981 1998 2017 *
Karachi 5.21 9.34 14.91
Lahore 2.95 5.14 11.13
Faisalabad 1.10 2.01 3.20
Rawalpindi 0.79 1.41 2.10
Gujranwala 0.60 1.13 2.03
Source: - Pakistan Bureau of statistics
* Provisional
The age composition of country’s population has significant implication on the current and
future development of the country and it determines the potential for future growth of specific age groups.
Therefore, the most important demographic characteristic of a population is its age structure or the
proportion of people at each age, by sex. Population of any country can be categorized into three broad
groups. These are children, young and senior citizen. The population the group of children between 0 to
14 years of age is economically unproductive and need family care, playgrounds, education and medical
care. They depend upon working population for their necessities. Countries with young population need
to invest more in schols colleges and technical institutes.
The young population is considered and asset of a nation. This age structure of a population
affects a nation’s key socio-economic issues. These people are economically productive and they
comprise the working population. Nevertheless, the rapid growth in this group can become employment.
However, the government with appropriate polices can utilize this youth bulge for the development of the
0
1
2
3
4
5
6
1961 1972 1981 1998 2017 *
Percent
All Areas Rural Area Urban Area

3
economy. The senior citizens also belong to dependent group and needs medical facilities and old age
benefit system.
It is apparent from the Table A-III that 34 percent population is under the age group of 15 years
and 7 percent population is in the age group of 60 years and above in 2020. This 41 percent population
is economically dependent and needs food, and medical facilities. Pakistan has a remarkable young age
structure and it can be observed from the table that 59 percent population belongs to the age group of
working class that is 15-59 years. This dynamic group is the main source to raise the economic growth
and can create and opportunity for the country to boost its productive capacity. However, this
demographic dividend is dependent on the investment being made in the human development education,
training and health.
Table: A-III Population by Selected Age Groups
In Millions
Age Groups 1998 2014 2015 2020 2025 2030 2035
0-4 21.64 25.03 25.31 25.86 25.17 23.88 22.28
5-9 18.92 22.63 23.03 24.83 25.45 24.83 23.50
10-14 16.28 20.49 20.90 22.93 24.74 25.38 24.67
15-19 13.99 18.95 19.10 20.82 22.87 24.69 25.23
20-24 11.74 18.20 18.39 19.01 20.75 22.81 24.53
25-29 9.91 16.61 17.02 18.29 18.94 20.68 22.65
30-34 8.13 14.03 14.51 16.92 18.20 18.86 20.52
35-39 6.82 11.84 12.23 14.39 16.80 18.10 18.69
40-44 5.68 9.86 10.25 12.09 14.25 16.66 17.89
45-49 4.74 8.58 8.73 10.07 11.91 14.06 16.39
50-54 3.90 6.98 7.25 8.49 9.82 11.64 13.72
55-59 3.17 5.39 5.65 6.92 8.14 9.45 11.18
60-64 2.48 3.93 4.09 5.24 6.45 7.62 8.85
65-69 1.90 3.03 3.08 3.62 4.67 5.79 6.85
70-74 0.90 2.32 2.37 2.53 3.01 3.92 4.90
75-79 1.38 1.43 1.48 1.76 1.90 2.30 3.03
80+ 0.76 1.21 1.25 1.47 1.77 2.04 2.46
Total 132.35 190.50 194.64 215.25 234.85 252.70 267.35
Source: - National Institute of Population Studies
A-I.i Population Density
The country’s population density has tripled from 54 in 1961 to 166 persons per sq. kilometer in
1998. It increased to 261 in 2017. Population density of province in a descending order are as follow:-
Punjab 536, Khyber Pakhtunkhwawa 410, Sindh 340 and Balochistan 530 in 2017 (Table A-02 and
Figure: A-2).

4
Figure: A-2 Population Density by Province, 1951 to 2017
* Provisional
A-I.ii Urban-Rural Population Distribution
The urban population increased from 17.8 percent of the total population in 1951 to 36.4 percent
in 2017, registering an annual growth rate of 2.4 percent. Rural population decreased from 82.2 percent
in 1951 to 63.6 percent in 2017. In terms of absolute numbers, urban population grew from 5.99 million
in 1951 to 75.58 million in 2017 posting 13 times increase in 72 years, while rural population quadrupled.
(Table A-I). Arguably, Pakistan is on the way to rapid urbanization. Percentage share of population of
Pakistan by urban/rural can be seen (Table A-V Figure A-4)
Table: A-IV Percentage Share of Population of Pakistan by Province, 1998 & 2017
Area 1998 2017*
Punjab 55.63 52.95
Sindh 23.00 23.05
Khyber Pakhtunkhwa 13.41 14.69
Balochistan 4.96 5.94
FATA 2.40 2.41
Islamabad 0.61 0.97
* Provisional
Figure: A-3 Percentage Share of Population of Pakistan by Province, 1998 & 2017
* Provisional
0
500
1000
1500
2000
2500
1951 1961 1972 1981 1998 2017 *
Pakistan Islamabad Federal Capital Area
Balochistan Khyber Pakhtunkhwa
Punjab Sindh
Punjab, 56%
Sindh, 23%
Khyber
Pakhtunkhwa,
13%
Balochistan, 5% FATA, 2%
Islamabad, 1%
1998
Punjab
53%
Sindh
23%
Khyber
Pakhtunkhwa
15%
Balochistan
6%
FATA
2%
Islamabad
1%
2017*

5
A-I-iii Province wise population distribution
As per Census 2017 Punjab has the highest share among the total population i.e 52.95%
followed by Sindh 23.05%, KP 14.69% and Balochistan 5.94% (Table A-IV, Figure A-3) gives the
breakdown of Population by province-wise.
Table: A-V Percentage Share of Population of Pakistan by Urban/Rural, 1998 & 2017
Area
1988 2017*
Urban Rural Urban Rural
Punjab 53.48 56.66 53.43 52.67
Sindh 34.48 17.47 32.96 17.38
Khyber Pakhtunkhwa 6.96 16.51 7.58 18.76
Balochistan 3.65 5.59 4.50 6.77
FATA 0.20 3.46 0.19 3.68
Islamabad 1.23 0.31 1.34 0.75
* Provisional
Figure: A-4 Percentage Share of Population of Pakistan by Urban/Rural, 1998 & 2017 *
* Provisional
A-I.iv Global Perspective
United State Population Reference Bureau (PRB) publishes tabulations on world’s
demographics. According to PRB’s estimates-, which appear to be extrapolation of intercensal growth,
rate under certain assumptions- Pakistan ranks fifth among the most populous countries of the world n
2020. Previously, Pakistan ranked 10th in 1991, seventh in 1998, and sixth in 2015. Data I can be seen
in Table A-VI.
Table: A-VI Ten Most Populous Countries, 2020 to 2050
S. No
Country
Population Mid
2020 (million)
Rate of Natural
increase(%)
Population Mid
2035(millions)
Projected Population
Mid-2050 (millions)
1 China 1402.4 0.3 1423.6 1366.1
2 India 1400.1 1.4 1576.3 1663.0
3 USA 329.0 0.3 361.8 385.7
4 Indonesia 271.7 1.2 307.7 328.7
5 Pakistan 220.9 2.2 287.2 347.8
6 Brazil 211.8 0.8 229.2 232.9
7 Nigeria 206.1 2.5 295.0 401.3
8 Bangladesh 169.8 1.6 196.9 215.5
9 MAXICO 127.8 1.2 141.9 148.2
10 Japan 126.0 -0.4 123.6 109.9
Sources: - i. 2020 Population Reference Bureau.
ii. Internet World Start. 2020
0%
20%
40%
60%
80%
100%
Urban Rural Urban Rural
1988 2017
Punjab Sindh Khyber Pakhtunkhwa Balochistan FATA Islamabad

6
A-I.v Fertility
In the absence of vital statistics registration system and consequential inadequacy of data, it is
difficult to estimate accurate fertility rates in the country. However, some direct and indirect estimates of
fertility under different assumptions have been made through various surveys. One of the major source
of such information is the Pakistan Demographic Survey (PDS) from 1985 to 2007 conducted by Federal
Bureau of Statistics. However, the same cannot be conducted sofar, NIPS conducted PDHS survey on
the basis of this survey indicates decline in total fertility rate (TFR) from 4.80 in per woman in 1998 to
3.26 in 2020 as projected population of the NIPS (Table A-VII). Antecedently, the crude birth rate (CBR)
declined from 27.3 per thousand populations in 2003 to 26.1 percent per thousand populations in 2019
by the NIPS. (Table A-VIII). These trends allude to a sort of demographic transition towards sustainable
population dynamics.
Table: A-VII Total Fertility Rate (TFR) 1998 to 2020
Year Pakistan Punjab Sindh
Khyber
Pakhtunkhwa
Balochistan Islamabad FATA
1998 4.80 4.70 4.70 5.10 5.40 3.80 5.15
1999 4.73 4.64 4.65 5.02 5.32 3.75 5.10
2000 4.67 4.58 4.59 4.94 5.24 3.69 5.05
2001 4.60 4.52 4.54 4.86 5.16 3.64 5.00
2002 4.53 4.46 4.49 4.78 5.08 3.59 4.95
2003 4.47 4.40 4.43 4.70 5.00 3.53 4.90
2004 4.40 4.34 4.38 4.62 4.92 3.48 4.85
2005 4.33 4.28 4.33 4.54 4.84 3.43 4.80
2006 4.27 4.22 4.27 4.46 4.76 3.37 4.75
2007 4.20 4.16 4.22 4.38 4.68 3.32 4.70
2008 4.13 4.10 4.17 4.30 4.60 3.27 4.65
2009 4.07 4.04 4.11 4.22 4.52 3.21 4.60
2010 4.00 3.98 4.06 4.14 4.44 3.16 4.55
2011 3.93 3.92 4.01 4.06 4.36 3.11 4.50
2012 3.87 3.86 3.95 3.98 4.28 3.05 4.45
2013 3.80 3.80 3.90 3.90 4.20 3.00 4.40
2014 3.72 3.72 3.82 3.82 4.13 2.95 4.34
2015 3.65 3.64 3.74 3.75 4.06 2.90 4.28
2016 3.57 3.55 3.65 3.67 4.00 2.85 4.22
2017 3.49 3.47 3.57 3.59 3.93 2.80 4.16
2018 3.41 3.39 3.49 3.51 3.86 2.75 4.10
2019 3.34 3.31 3.41 3.44 3.79 2.70 4.04
2020 3.26 3.23 3.33 3.36 3.72 2.65 3.98
Source: National Insitute of Pakistan Studies, Islamabad
A-I.vi Mortality
Crude death rate (CDR) provides an overall picture of the level of mortality in the country. CDR
declined from eleven (12) per thousand in 1985 to seven (7) in 2019 during a span of thirty (34) years
(Table-VIII). Better health facilities, improved nutrition and introduction of vaccination programme are
some of the prime factors to have resulted in the decline of mortality rate.
A-I.vii Infant Mortality Rate
Infant mortality rate (IMR) is an important indicator of health situation in a country. Pakistan has
been having very high infant mortality rate. IMR was 79.9 per thousand live births in 1999 declined to 60

7
per thousand live births in 2019. However, it is still high (Table A-V) as compared to other developing
countries.
Table: A-VIII Crude Birth, Crude Death and Infant Mortality Rates
Year
Crude Birth Rate (Per 000
population)
Crude Death Rate (Per 000
population)
Infant Mortality Rate
(Per 000 population)
2003 27.3 8.0 83.0
2004 27.8 8.7 79.9
2006 26.1 7.1 76.7
2007 25.5 7.9 72.4
2008 25.0 7.7 70.2
2009 28.4 7.6 73.5
2010 28.0 7.4 72.0
2011 27.5 7.3 70.5
2012 27.2 7.2 69.0
2013 26.8 7.0 67.5
2014 26.4 6.9 66.1
2015 26.1 6.8 64.6
2016 * 27.8 7.0 62.4
2017 27.3 6.9 61.4
2018 26.7 6.8 60.5
2019 26.1 6.7 59.5
Source: - Economic Survey of Pakistan
* Population data revised from 2016 on baisis of projections provided by NIPS.
Figure: A-5 Crude Birth Rate and Crude Death Rate
A-I.viii Life Expectancy
Expectancy of life at birth is an important indicator of survivability. In the absence of vital statistics
registration system, the adequate data on age specific deaths are not available. Table below A-IX
presents life expectancy at birth by sex. It indicates that expectancy of life at birth, which was 62.50 for
male and 62.40 for female in 1999 increased to 67.7 for male and 68.7 for females in 2020. Higher stride
in the case of females indicates gravitation towards progressive socio-cultural practices.
0
5
10
15
20
25
30
2003 2004 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 * 2017 2018 2019
Crude Birth Rate (Per 000 population) Crude Death Rate (Per 000 population)

8
Table: A-IX Life Expectancy at Birth, 1991-2020
Years
Life Expectancy at Birth (years)
Male Female
1991 59.3 60.7
1992 59.3 60.7
1993 59.3 60.7
1994 59.3 60.7
1996 60.3 61.9
1997 62.8 64.6
1998 62.3 62.1
1999 62.5 62.4
2000 62.7 62.7
2001 62.9 63.0
2002 63.1 63.3
2003 63.3 63.6
2004 63.5 64.0
2005 63.7 64.3
2006 64.0 64.6
2007 64.2 64.9
2008 64.4 65.2
2009 64.6 65.5
2010 64.8 65.8
2011 65.0 66.0
2012 65.2 66.3
2013 65.4 66.6
2014 65.6 66.9
2015 65.8 67.2
2016 66.0 67.5
2017 66.1 67.8
2018 66.3 68.1
2019 66.5 68.4
2020 67.7 68.7
Source: - 1. Pakistan Bureau of Statistics.
2. National Insitution of Pakistan Studies (Population Projection).
A-II Housing
As per Population Census and household based Surveys, a "household "or a" housing unit" is
defined as a socio-economic unit consisting of individuals who live together whether related to each other
or not but sharing the same kitchen. In the context of housing units’ deficit at the time of independence
due to mass migration, coupled with high population growth, the country has continuously been facing
shortages of housing units.
During this period, urban areas of Balochistan and Punjab witnessed increase in the construction
of housing units while pace of construction in KP and Balochistan remained almost on the same level. As
for pressure on housing units, the average household size during 2012-13 to 2018-19 (Table A-X)
remains same; though seem to be relieving in all provinces, except Balochistan and Punjab.

9
Table: A-X Average Household Size by Provinces and Urban/Rural Areas
Area 2012-13 2013-14 2018-19
Pakistan 6.3 6.3 6.2
Urban 6.0 6.1 6.0
Rural 6.4 6.5 6.4
Punjab 6.1 6.1 5.8
Urban 6.0 6.1 5.7
Rural 6.1 6.2 5.8
Sindh 6.2 6.1 6.2
Urban 5.8 5.8 6.0
Rural 6.6 6.5 6.5
Khyber Pakhtunkhwa 7.1 7.2 7.5 *
Urban 6.9 7.0 7.5 *
Rural 7.1 7.2 7.5 *
Balochistan 7.2 7.9 8.1
Urban 7.2 8.3 7.9
Rural 7.2 7.8 8.2
Source: - Pakistan Social and Living Standard Measurement Surveys, PBS.
* In PSLM survery 2018-19 FATA has been included in KP
Figure: A-6 Average Household Size Pakistan and Provinces 2012-13, 2013-14 & 2018-19
Average number of persons per room does not reflect an enviable situation. However, it seems
to be decreasing, more in urban than rural area as compared to previous years 2012-13 & 2013-14.
Province wise average number of person per room is in descending order are as follows Sindh 3.84,
Balochistan 3.51, Khyber Pakhtunkhawa 3.24 and Punjab 2.98 in 2018-19 (Table A-XI).
0
2
4
6
8
10
Pakistan Punjab Sindh Khyber Pakhtunkhwa Balochistan
Percent
2012-13 2013-14 2018-19

10
Table: A-XI Average Number of Persons per Room by Provinces and Urban/Rural Areas
Area 2012-13 2013-14 2018-19
Pakistan 3.25 3.38 3.24
Urban 2.93 3.06 2.95
Rural 3.42 3.57 3.41
Punjab 3.15 3.22 2.98
Urban 2.98 3.04 2.78
Rural 3.23 3.31 3.1
Sindh 3.55 3.72 3.84
Urban 2.83 3.06 3.23
Rural 4.35 4.46 4.55
Khyber Pakhtunkhwa 3.16 3.35 3.24 *
Urban 3.03 3.10 3.02 *
Rural 3.18 3.40 3.29 *
Balochistan 3.22 3.65 3.51
Urban 3.00 3.28 3.27
Rural 3.29 3.78 3.6
Source: - Pakistan Social and Living Standard Measurement Survey, PBS.
Figure: A-7 Average Number of persons per Room 2012-13, 2013-14 & 2018-19
According to PSLM Survey, there were 28 percent one-roomed, 67 percent two to four rooms, 6
percent five are more room housing units in 2014-15. The share of all the foremost category are slightly
decreased in 2018-19 except the percentage of one room which is reported as same as compared to
2014-15 in PSLM survey. According to the PSLM survey 2018-19, province wise share of one room
household is in descending order are as follows. Sindh 40 percent, Punjab 27 Percent, Khyber
Pakhtunkhawa 19 percent and Balochistan 17 percent (Table A-XII). Balochistan province shows the
maximum share of 5 or more room which is reported as 11 percent as compared to other provinces In
PSLM 2018-19.
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
Pakistan Punjab Sindh Khyber Pakhtunkhwa Balochistan
2012-13 2013-14 2018-19

11
Table: A-XII Percentage Distribution of Household by number of Rooms-by Province and
Region
Province/Region
2014-15 2018-19
Urban Rural Total Urban Rural Total
Pakistan
One Room 24 30 28 24 31 28
2-4 Rooms 70 65 67 69 63 65
5& More Rooms 7 5 6 7 6 6
Total 100 100 100 100 100 100
Punjab
One Room 24 28 27 24 29 27
2-4 Rooms 68 66 67 68 65 66
5& More Rooms 8 6 6 8 6 7
Total 100 100 100 100 100 100
Sindh
One Room 25 47 35 27 54 40
2-4 Rooms 71 52 62 70 45 58
5& More Rooms 4 1 2 3 1 2
Total 100 100 100 100 100 100
Khyber Pakhtunkhwa
One Room 17 17 17 16 * 20 * 19 *
2-4 Rooms 69 74 73 70 * 70 * 70 *
5& More Rooms 14 9 10 14 * 10 * 10 *
Total 100 100 100 100 * 100 * 100 *
Balochistan
One Room 13 17 16 13 19 17
2-4 Rooms 75 77 77 77 69 71
5& More Rooms 12 6 7 9 12 11
Total 100 100 100 100 100 100
Figure: A-8 Percentage Distribution of Population by No. of Rooms per Housing Units Pakistan
2014-15 & 2018-19
A-II.i Housing Units by Lighting Facilities
According to Pakistan Social & Living Standards Measurement (PSLM) Survey, 93.45 percent of
the housing units had electricity facilities in 2013-14 and it decreased to 91.2 percent in 2018-19, whereas
about 4.00 percent of the households were using Gas and oil for lighting in 2013-14, their share
decreased to about 1.0 percent in 2018-19. A comparison of data by urban-rural areas shows that 98.3
percent of the housing units in urban areas have electricity facilities in 2018-19 while 86.8 percent of rural
housing units have electricity facilities in 2018-19 (Table A-12) which indicates the better standard of
living.
28
65
6
2018-19
One Room 2-4 Rooms 5& More Rooms
28
67
6
2014-15
One Room 2-4 Rooms 5& More Rooms

12
A-II.ii Housing Units by Type of Cooking Fuel Used
Analysis of data suggests that 51.17 percent of housing units were using wood as cooking fuel
in 2014-15, which decreased to 36.1 percent in 2018-19. About 41.42 percent of the households were
using Gas and oil as cooking fuel in 2014-15, which increased to 47.5 percent in 2018-19, (Table A-13).
A-II.iii Housing Units by Water Facilities
An important basic need for the population is the access to safe drinking water. In 2013-14 only
26 percent housing units had access to tap water either available inside or outside the housing unit while,
about 61 percent of the households were using ground water i.e. either hand pumps or Motor Pump, and
the remaining 13 percent were using water from dug well and others (Table A-14).
Analysis by area shows that about 52 percent of the urban population had access to tap water
either inside or outside of the housing units in 2013-14 while, the share of such category decreased to
31 percent in 2018-19. The situation in rural areas was worst where only 11 percent of the rural housing
units had facilities of safe tap water in 2013-14, which was reported same i.e 11 percent in 2018-19.
Whereas about 75 percent of rural housing units were using ground water in 2013-14 which increased to
73 percent in 2018-19 whereas, about 10 percent were using water for drinking purposes either from
other sources i.e., ponds, springs, rivers and streams in 2013-14 the share of which increase to 12
percent in 2018-19 in rural areas (Table A-14).
A-II.iv Housing Units with Latrine Facilities
According to (PSLM) survey, about 74 percent of the households had flush facility in their toilets,
9 percent were without flush and 17 percent of the households had no latrine facility in their housing units
in 2013-14. The area wise analysis indicates that 98 percent of the urban household had flush system in
their toilets in 2013-14, which reported same i.e 98 percent in 2018-19. While 1 percent had no flush
facility in urban area, 2013-14 which is reported same i.e 1 percent in 2018-19 and 1 percent of the urban
household did not have toilet facility in the housing units in 2013-14, which remain the same in 2018-19.
The situation in rural areas has improved in respect of having flush facility as compared to urban areas
and it increased from 61 percent in 2013-14 to 70 percent in 2018-19. The overall situation has also
improved in 2018-19 and the percentage of housing units having flush facility in their toilets increased to
80 percent as compared to 2013-14 when it was reported as 74 percent (A-15).
A-III Labour Force
The economically active population or Labour Force is the group of persons who produce goods
and services to meet the requirement of the society. In Pakistan, labour force has defined as all persons
ten years of age and above who are working or looking for work for cash or kind, one week prior to the
date of enumeration. The labour force participation rate in Pakistan is comparatively low mainly due to
low participation of female in the labour force. There may be several explanations for this however; few
are stated as early age marriages, strong social and cultural influence on free movement of women and
absence of an organized labour market. The main sources of labour force and employment statistics are
decennial Population Census and Labour Force Survey conducted by Pakistan Bureau of Statistics on
annual basis. According to the latest available Labour Force Survey, 2017-18, about 44.3 percent of the
total population was in the civilian labour force. The analysis of data of last 36 years indicates that the
total Civilian Labour Force that was 27.57 percent in 1981 increased to 44.3 percent in 2017-18.

13
According to Labour Force Survey 2017-18, about 39.7 percent of the urban population (10 years and
above) was in civilian labour force as against 47.1 percent for rural areas. The percentage of total un-
employed was 2.57 percent in 2017-18. The urban unemployment rate was slightly higher as compared
to that of rural areas (Table A-16 to19).
A-IV Land Utilization
Pakistan has 79.61 million hectares of land out of which 58.02 million hectares area of land (73%)
have been surveyed and reported. Of the total reported area, only 40 percent was cropped area till 2018-
19(R). The cropped area registered same during the last few 20 years. In the face of increasing
population, it is imperative to employ all means to increase agricultural productivity including as well the
expansion of area under cultivation.
The net area sown during 2018-19 was 71 percent of the total cultivated area. About 7.75 million
hectares of areas was shown more than once during 2018-19 (Table A-20). The analysis of data shows
that Area sown more than once is slightly increasing since 2004-05. The share of “Area sown more than
once" was about 33 percent of the total cropped area during 2018-19. This is an encouraging trend, and
amounts to substantial expansion in productive capacity to the benefit of attaining food security.
A-V Agriculture
A-V.i Area under Agriculture Crops
The largest segment of the cultivated area (8.7 million hectares) went to wheat crop during
2018-19 followed by Rice (2.8 million hectares), Cotton (2.4 million hectares), Gram (0.9 million hectares),
Maize (1.4 million hectares), Sugarcane (1.1 million hectares). An analysis of data for 2008-09 to 2018-
19 regarding area under agricultural crops indicates fluctuating trends for different crops, however, shows
increasing trend for some of the major crops like Maize, cotton, rice and fruits like grapes and dates
(Table A-21).
A-V.ii Production of Agriculture Crops
The wheat is foremost of the major crops in terms of area and production. Production of wheat
during 2018-19 is 24.4 million tones as against 24.03 million tones in 2008-09. The rice production was
6.95 million tones in 2008-09, which increased to 7.2 million tons in 2018-19. Like area under cultivation,
production of various important crops also indicates fluctuating trends during 2008-09 to 2018-19. This
may be attributed more too natural than economic causes. However, there was significant increase in the
production of major crops during 2018-19 as compared to 2008-097 (Table A-22).
A-VI Water
Pakistan has entered into the 21st century with rising challenge to meet food and fiber
requirements for its population for domestic consumption and export. Water in Pakistan is becoming
scarce, while major parts of conventional resources have already been developed.
In order to meet the needs of water and sanitation, food and fiber, industry and environmental
protection, concerted efforts are required to develop the requisite resources with futuristic considerations.
Achieving sustainable development will, thus be a major challenge and conservation and optimum
utilization of available resources will undoubtedly be one of the most critical considerations in this regard.
River flows: Pakistan is one of the very few countries in the world whose water resources entirely depend
upon one river system- the Indus Basin. Although, in addition to the Indus River System, the Kharan

14
Closed Desert Basin and the Mekran Coastal Basin located in Balochistan have some development
potential but it constitutes less than three percent of the total surface water.
Of the total available annual flow of 145MAF in the Indus Basin, 105MAF has already being used
through 19 barrages with 45 canal systems above and below rim stations. Average annual escapades
below the Kotri Barrage going to the sea are 35MAF. Flow below Kotri provides an indication of the
available potential since it is the result of all enroute inflows, outflows, gains and losses of the system. In
order to develop and utilize the surplus flows, some provision has to be made for minimum flow below
Kotri to meet daily requirements of drinking, cultivation of riverine area, forests etc., and occasional needs
for pallah fish, mangroves and to check the saltwater intrusion.
It would be pertinent to reiterate that the yield of our crops is lower than the world average in
spite of favourable combination of land and agro-climatic environments. The primary reason for it is
inadequate availability of water at critical times during the crop growth. The problem of already-restricted
supplies is being compounded by the continuous silting-up of the existing reservoirs, which had initially
provided some flexibility in meeting the demand-based water needs of crops.
Rainfall Harvesting Monsoon and westerly disturbances are two main weather systems that contribute
to the rainfall in Pakistan. The average annual rainfall is 291mm (11.4 inches). Nearly two-third is received
in the Kharif (summer), while the rest in the Rabi (winter). During the three Monsoon months (July to
September), almost half of the rainfall is received.
While a substantial portion of the rainfall occurring in the cultivated areas of the Indus Plain is
consumed by crops as a consumptive use, in the foothill areas of Pakistan rainfall gives rise to flashy hill
torrents, and major portion of the flow goes waste, in the form of evaporation. From the development
point of view the potential of flows in hill torrent, Pakistan can be divided in to 13 major regions:
The hill torrents bring in flashy floods of short durations but of high magnitudes. Due to steep
gradients, flood flows move with enormous velocity which results in the erosion of banks and bed of
channels. Flood flows debauching onto the plain areas are generally charged with high silt contents,
which preclude their management, by dams or reservoirs. As the flood flows traverse the flatter areas,
they rapidly deposit their silt load because of reduction in velocity. Silting and scouring phenomena are
largely responsible for frequent changes in flow regime and shifting of flow paths of hill torrents that are
typical of geological young “fans”. Unpredictable and erratic nature of floods and high silt contents thus
pose a serious challenge to the ingenuity of water planners and engineers for their economic
management.
Presently, a major part of hill torrent runoff not only goes waste but also causes untold miseries
further aggravating conditions in the areas, which are grossly underdeveloped. A rational planning of the
existing water resources can ensure a systematic agriculture to lay the foundation for the socio-economic
uplift. The conservation of flows of various hill torrent areas also conforms with the overall national
planning for bringing additional areas under cultivation so as to produce more food, besides, improving
the socio-economic conditions of the local population.
Glaciers and snow: Glacial area of the Upper Indus is around 22,500 sq. km, where on an average
three to four meters of snowfall occurs every year. The Upper Indus catchments contains some of the
largest glaciers in the world outside the Polar Regions. Glacier area of the Kabul River is located near
Unai Pass of the Southern Hindukush, while glacial and snowmelt area of Chenab and Jhelum Rivers
are located in the Occupied Jammu and Kashmir. The right bank tributaries of Jhelum River i.e., Kunhar
and Neelum rivers carry major share of the snow melt, primarily, situated in Pakistan or along the Line of

15
Control. Glaciers and snowmelt contribution is 85 percent in the case of Indus,80 percent for Kabul,75
percent for Chenab and slightly over 50 percent for Jhelum River.
It is estimated that the total volume of water stored in the glacial area of Indus river is about 340
MAF, while the volume of water stored in glacial zed area of Kabul, Chenab and Jhelum Rivers is 300
MAF. The yearly contribution of flow at rim stations as a result of melting of snow and ice is over 110
MAF. The formation and melting of snow and ice in the glacial area, is in a state of equilibrium. It must
not be disturbed to get additional water benefits during drought conditions by resorting, to otherwise,
highly tempting artificial techniques. If equilibrium is upset, the sustainability will be destroyed leading to
disastrous consequences. Accordingly, no additional development potential is considered available from
this valuable resource.
Groundwater: The readily available groundwater resources of Pakistan have played an increasingly
important role in meeting the country’s food and fiber requirements. Groundwater now supplies around
45 percent of crop water requirements in the country. The reservoirs underlying the Indus Plains are an
inherent offshoot of the canal system, and are of immeasurable value in poverty alleviation in Pakistan.
Ground water use permits farmers to exercise a greater control over the available water and results in
timely application of water for crops. This has transformed the concept of low and uncertain crop yields
to more secure and predictable form of crop production. Even away from the Indus Plains in the highland
areas of Balochistan and North West Frontier Province, ground water has been crucial in supporting the
agricultural sector. It is therefore, imperative that long-term sustainability of groundwater, as a resource,
is maintained to ensure the growing food requirements of the country.
From the point of view of availability of groundwater, the country can be divided into two major
areas, the predominantly canal irrigated Indus Plain primarily located in Punjab and Sindh, and the areas
of the KP and Balochistan with a limited groundwater development potential in a few localized areas.
During the last few years or so, spectacular increase in the number of private tube wells has
changed the underground paradigm entirely. In several groundwater areas, there has been a complete
Volta face. Where some years ago high groundwater was a major threat, water levels have now declined
due to private tube wells development. However, the pace at which the groundwater exploitation has
unfolded has added complexity of its management. The number of users is over 2.5 million farmers, who
extract groundwater through their own tube wells or buy water from their neighbours. Their behavioral
patterns are highly variable and they understand little about any adverse interaction, which is likely to
result due to unsystematic and erratic nature of groundwater pumping. Their major interest is to pump
ever more water to meet the rising crop water requirements. In many regions, the impact on the
groundwater resources is alarming; levels are declining rapidly to infeasible pumping depths, and there
is intrusion of saline water in the fresh groundwater areas through lateral or upward movement.
Existing number of private tube wells in Pakistan is over 922,146 and annual groundwater
extraction through private tube wells under the normal hydro-climatic conditions is of the order of 42 MAF.
The province wise sustainable development potential is:
(MAF)
Province Sustainable potential
Punjab 36
Sindh 8*
KP 2
Balochistan 2
* Potential can be further increased to about 14 MAF (65 per cent of annual recharge) by using latest
state-of-the –art-techniques.

16
Development potential and requirements: Remaining development potential of water resources is
approaching a stage where complex factors involved, require fine-tuning to permit sustainability. Surface-
water resources have some potential for development that are not fully exploited, while groundwater
sources require system controls and a regulatory body to permit private operations to enhance
production. Pakistan is facing increasing water needs, by growing population, increased urbanization,
higher standards of living and by an agricultural policy which has emphasized on expanded production
for future.
The development potential of the three water resources of Pakistan is summarized as:
(MAF)
Resource Development Potential
River flows 22
Rainfall harvesting (hill torrents) 12
Ground water:
a) 6
b) 12*
* Under ultimate conditions, with the latest state-of-the-art techniques.
It has been estimated that the population of Pakistan will be around 221 million by the year-2025.
In order to meet water requirements across various sector by the year 2025 i.e., agriculture, water
supply/sanitation, industry etc., the country would need additional water to the tune of 20 MAF at the farm
gate for agriculture and 8 MAF for other sectors. Agriculture requirements are based on the assumption
of 50 percent increase in the yields of crops with non-water uses, like better seeds, fertilizers pesticides
and better agronomic practices for which potential of 300 percent exists in Pakistan, (Dawn Economic &
Business Review, July 12-18, 2004 by Sabir Ali Bhatti)
Agricultural development in Pakistan is affected by two main constraints, suitable soil and water,
particularly the latter one. There are two major sources of water supply in the country i.e. surface water
and ground water. The main source of surface water is Indus Basin. The share of surface water is higher
than the ground water towards the total availability of water. Moreover, the surface water availability
during Kharif Season is higher than Rabi.
Year wise breakdown Table A-24 indicates that about 50.9% in kharif and 25.4% in Rabi
requirement for 2018-19 of water availability at form gate met with surface water while remaining
requirements are met with ground water by means of public and private tube wells. The total availability
of water is 127.40 MAF during the year 2018-19 wherein the overall ground water is reported as 77.8
MAF was available at form gate during 2018-19. It has been observed in 2009-10 that the overall surface
water was 133.7o MAF available during the year 2009-10 and out of which 50.21 MAF was overall ground
water.
A-VI.i Tube wells
Tube wells are the source of ground water supply in the country and 1357036 tube well were
reported in 2017-18 (P). There were about 707 thousand tube wells in the country in 2001-02, which
increased to 1357 thousand in 2017-18 (p), at an average annual growth rate of about 3.9 percent. As
for share by province, Punjab accounts 78.6 percent of the total tube wells installed in the country during
2017-18, followed by Balouchistan (3.1 percent), Khyber Pakhtunkhwa (1.3 percent), Sindh (17 percent)
and Punjab (78.6 percnet). (Table A-23).

17
A-VII Livestock
A-VII.i Livestock Population
Livestock over the year has emerged as the largest sub-sector in agrciculture. It is a source of
foreign exchange earnings and contributes about 3.1 percent in total exports. More than 8 million rural
families are engaged in livestock production and driving more than 35-40 percent of their income from
this sector (Pakistan Economic Survey, 2019-20).
Analysis of data on livestock population for the period 2012-13 to 2018-19 indicates increase in
various categories of animals. The number of buffalos which were 33.5 million in 2012-13 increased to
40.0 million in 2018-19. The population of goats and sheep was higher as compared to other animals.
The population of goats increased from 64858 in 2012-13 to 76143 in 2018-19 and population of sheep
increased from 28755 in 2012-13 to 30141 in 2018-19(Table A-29).
A-VII.ii Livestock Products
The major livestock products are beef butter, mutton, poultry meat, milk and eggs. Beef
production increase from 1830 thousand tonnes in 2012-13 to 2227 thousand tones in 2018-19. The
mutton production registered increase from 643 thousand tones in 2012-13 to 732 thousand tones in
2018-19.
The milk is the major food item in Pakistan widely used for preparation of tea, sweets, butter and
yogurt as well as for drinking purposes. The production of milk available for human consumption was
decreased from 50.0 million tons in 2012-13 to 48.0 million tons in 2018-19 (Table A-30).
Poultry meat is also in high demand due to higher prices of beef and mutton since last few years.
The poultry farming has increased considerably during the early 1991-92. The production for poultry meat
increased from 907 thousand tones in 2012-13 to 1518 thousand tones in 2018-19 during last 7 years.
Eggs production was increased from 13813 million in 2012-13 to 19052 million in 2018-19
(Table A-30).
A-VIII Forestry
Pakistan is forest deficient country, mainly due to arid and semi-arid climate in large parts of the
country. The Country is maintaining 4.51 million hectares to 5.01 percent area under forest cover, out of
which 3.44 million hectres forests exist on state-owned lands and remaining on communal and private
lands. Though the forestry having meager share of 2.1 percent in agriculture, it provides foundations of
life on earth through ecological function, regulates the climate and water resources and serves as habitat
for plants and animals.
To meet the domestic needs and to improve the forest cover, the federal government has
launched Ten Billion Tree Sunami Programme by replicating the Billion Tree Afforestation Project (BTAP)
implemented by Government of Khyber Pahktunkhwa. The project aims at, inter alia, combating the
effects of global warming. This is an umbrella project covering all the provinces including AJK and GB
with provincial budgetary share. All segments of society such as students, youth and farmers are strongly
involved in the afforestation activities (Pakistan Economic Survey 2019-20).

18
A-IX Transportation
Smoke that comes out of industrial units, houses, motor cars and other vehicular traffic contains
gases like carbon dioxide, carbon monoxide, oxides of Sulphur, nitrogen and carbon particles etc. All
such compound and particles are injurious to health. The gases used as coolant in air conditioners,
refrigerators and similar devices cause extremely harmful changes in the upper atmosphere, where they
are believe to be decreasing the thickness of the Ozone layer, which normally protects human and other
living organisms from the injurious sunrays. If this process goes on unchecked, it will prove disastrous for
environment and living organisms.
Transportation plays vital role in the development of the country, Railway tracks, roads and high
ways are essential for economic development. However, the transport in cities and major urban Centre
is threat to the environment. The air pollution due to transport in large cities like Karachi, Lahore,
Faisalabad, Peshawar, Quetta and Rawalpindi has considerably increased during the recent years. The
vehicular emission of hydrocarbons, baldheads, carbon monoxide, Sulphur dioxide and nitrogen oxides
are dangerous pollutants to human health, causing bronchitis, irritation, asthma attacks and irritate the
eyes, arise primarily through vehicles emission in the urban areas (PNCS-94).
Presently, Pakistan ranks at 22nd position worldwide for 263,775 Km length of its road network
(13,000 km of National Highways and Motorways, 93,000 km of provincial highways and rest are District
and Rural Roads). The country is likely to improve its ranking significantly with the construction of new
economic connectivity projects, especially under the China Pakistan Economic Corridor (CPEC), the
Central Asia Regional Economic Cooperation (CAREC) Programme and continuous government
programme (Pakistan Economic Survey 2019-20).
The road length which was about 252 thousand km in 2002-03 increased to 271 thousand km in
2018-19. The average annual growth in length during 2002-03 to 2018-19 is 0.5 percent whereas the
length of high type roads was 144652 km in 2000-01 and it increased to 201100 km in 2018-19 (Pakistan
Economic Survey 2019-20).
Total registered vehicles during 1996 were 3.838 million and 29.052 million reported in 2019(P).
There were about 114 thousand registered buses in 1996 and the number of buses increased to about
254 thousand in 2019. There were only 54 thousand taxis in the country in 1996 increased to 171
thousand in 2019. Despite considerable increase in the number of buses, taxis, motor rickshaws and
wagons, the urban population is still facing the transport problem. The high population growth along with
rapid urbanization has caused serious traffic problems in major cities. The analysis of transport data
indicates increasing trends in almost all sorts of vehicles to the rising detriment of the environment
(Pakistan Economic Survey 2019-20).

19
Table A-01: Population of Pakistan by Region/Province, Land Area and Percentage Distribution,
1951 to 2017 Censuses
Region/Province
Area
Sq. km
Population (In thousand)
1951 1961 1972 1981 1998 2017*
Pakistan
796096 33740 42880 65309 84254 132352 207774
(100.0) (100.0) (100.0) (100.0) (100.0) (100.0) (100.0)
Islamabad
906 96 118 238 340 805 2006
(0.1) (0.3) (0.3) (0.4) (0.4) (0.6) (1.0)
Balochistan
347190 1167 1353 2429 4332 6566 12344
(43.6) (3.5) (3.2) (3.7) (5.1) (5.0) (6.0)
Khyber Pakhtunkhwa
74521 4557 5731 8389 11061 17744 30523
(9.4) (13.5) (13.4) (12.8) (13.1) (13.4) (15.0)
Punjab
205345 20541 25464 37607 47292 73621 110012
(25.8) (60.9) (59.4) (57.6) (56.1) (55.6) (53.0)
Sindh
140914 6048 8367 14156 19029 30440 47886
(17.7) (17.9) (19.5) (21.7) (22.6) (23.0) (23.0)
FATA
27220 1332 1847 2491 2199 3176 5001
(3.4) (3.9) (4.3) (3.8) (2.6) (2.4) (2.0)
Source: - Pakistan Bureau of Statistics
Note: - Percentage distribution is given in parenthesis * Provisional data of Census 2017
Table A-01-a: Population of Pakistan by Region/Province, Land Area and Percentage
Distribution 2013-2018
Region/Province
Area
Sq. km
Population
2013 2014 2015 2016 2017 * 2018
Pakistan
796096 184349 188019 191708 195390 207774 212821
(100.00) (100.00) (100.00) (100.00) (100.00) (100.00) (100.00)
Islamabad
906 1401 1441 1479 4730 2006 2107
(0.11) (0.76) (0.77) (0.77) (2.42) (1.00) (1.00)
Punjab
205344 100174 102005 103837 105670 110012 112380
(25.8) (54.3) (54. 3) (54.2) (54.16) (53.0) (52.8)
Sindh
140914 44080 45032 45988 46960 47886 49054
(17.7) (23.9) (24.0) (24.0) (24.03) (23.0) (23.0)
Khyber
Pakhtunkhwa
74521 24788 25308 25836 26360 30523 31418
(9.4) (13.4) (13.5) (13.5) (13.49) (15.0) (14.8)
Balochistan
347190 9495 9717 9942 10160 12344 17291
(43.6) (5.2) (5.2) (5.2) (5.19) (6.0) (8.1)
FATA
27220 4410 4516 4623 1510 5001 5123
(3.4) (2.4) (2.4) (2.4) (0.77) (2.0) (2.4)
Source: - i. Pakistan Bureau of Statistics ii. National Instiutue for Populaltion Studies (NIPS)
Note:- Percentage distribution is given in parenthesis
* Provisional data of Census 2017

20
Table A-02: Population Density by Region/Province, 1951 to 2017 Censuses
(Persons/Sq. Km.)
Region / Province 1951 1961 1972 1981 1998 2017 *
Pakistan 42 54 82 106 166 261
Islamabad Federal
Capital Area 106 130 262 376 889 2214
Balochistan 3 4 7 12 19 536
Khyber
Pakhtunkhwa 61 77 113 148 238 410
Punjab 100 124 183 230 358 536
Sindh 43 59 100 135 216 340
F.A.T.A 49 68 92 81 117 184
Source: - Pakistan Bureau of Statistics
Table A-02-a: Population Density by Region/Province, 2013-2018
(Persons/Sq. Km.)
Region/Province 2013 2014 2015 2016 2017 * 2018
Pakistan 232 236 241 245 261 267
Islamabad 1546 1591 1632 5221 2214 2326
Punjab 488 497 506 515 536 547
Sindh 313 320 326 333 340 348
Khyber Pakhtunkhwa 333 340 347 354 410 422
Balochistan 27 28 29 29 36 50
FATA 162 166 170 55 184 188
Source: National Institute of Population Studies (NIPS) Islamabad (Projection).

21
Table A-03: Percentage Distribution of Population (10 years and over) by Marital Status
Pakistan and Provinces, 2017-18
Region/Province
Marital status
Total Never Married Married Widow/Widower Divorced
Pakistan
Both Sexes 100 42.25 53.46 3.94 0.34
Male 100 47.38 50.19 2.17 0.26
Female 100 37.03 56.79 5.75 0.43
Balochistan
Both Sexes 100 42.87 55.92 1.18 0.03
Male 100 48.93 50.36 0.71 0.01
Female 100 35.30 62.88 1.77 0.05
Khyber Pakhtunkhwa
Both Sexes 100 43.81 52.44 3.63 0.12
Male 100 50.89 47.38 1.65 0.09
Female 100 37.17 57.20 5.48 0.15
Punjab
Both Sexes 100 41.27 53.64 4.58 0.50
Male 100 45.57 51.31 2.73 0.39
Female 100 37.10 55.91 6.38 0.61
Sindh
Both Sexes 100 43.47 53.19 3.16 0.17
Male 100 49.04 49.31 1.53 0.13
Female 100 37.07 57.66 5.05 0.22
Source:- Labour Force Survey, PBS

22
Table A-04: Population (10 years and above) by Age, Sex and Literacy 2017-18
Age group
(Years)
Population Literates
Both sexes Male Female Both sexes Male Female
10 & above 147913333 74626651 73286681 92100227 54127769 37972458
10-14 25664115 13732677 11931438 19939187 11365269 8573918
15-19 22000589 11665917 10334672 16938972 9619194 7319778
20-24 17903365 8526593 9376771 12595576 6727238 5868339
25-29 15439352 7005530 8433822 9810880 5216375 4594505
30-34 12827411 6017048 6810364 7800433 4450353 3350080
35-39 12213907 5865581 6348326 6982646 4194120 2788526
40-44 9666160 4813995 4852165 5068867 3312723 1756143
45-49 8747159 4332039 4415120 4047098 2672989 1374109
50-54 6939399 3681799 3257600 3042841 2126319 916521
55-59 5394025 2799214 2594811 2170493 1533370 637124
60 & above 11117850 6186258 4931592 3703234 2909819 793415
Age group
(Years)
Literacy Ratio
Both sexes Male Female
10 & above 62.3 72.5 51.8
10-14 77.7 82.8 71.9
15-19 77.0 82.5 70.8
20-24 70.4 78.9 62.6
25-29 63.5 74.5 54.5
30-34 60.8 74.0 49.2
35-39 57.2 71.5 43.9
40-44 52.4 68.8 36.2
45-49 46.3 61.7 31.1
50-54 43.8 57.8 28.1
55-59 40.2 54.8 24.6
60 & above 33.3 47.0 16.1
Source :- Labour Force Survey, PBS

23
Table A-05: Percentage Distribution of Total Population and That of 10 Years Age and Over by
Age, Sex, Area and Nature of Activities, 2017-18
Economic Activity
Total Population Civilian Labour Force Out of Labour Force
Both
Sex Men Women
Both
Sex Men Women
Both
Sex Men Women
All Areas
Total (All Ages)
Total l(10 Years&above) 100.00 50.45 49.55 44.28 34.30 9.98 55.72 16.15 39.57
10-14 17.35 9.28 8.07 1.43 0.91 0.52 15.92 8.37 7.55
15-19 14.87 7.89 6.99 4.84 3.76 1.09 10.03 4.13 5.90
20-24 12.10 5.76 6.34 6.35 4.87 1.48 5.75 0.89 4.86
25-29 10.44 4.74 5.70 5.96 4.55 1.41 4.48 0.19 4.29
30-34 8.67 4.07 4.60 5.22 3.99 1.23 3.46 0.08 3.38
35-39 8.26 3.97 4.29 5.10 3.90 1.20 3.16 0.07 3.09
40-44 6.54 3.25 3.28 4.12 3.20 0.92 2.41 0.05 2.36
45-49 5.91 2.93 2.98 3.63 2.85 0.78 2.28 0.08 2.20
50-54 4.69 2.49 2.20 2.96 2.39 0.57 1.73 0.10 1.63
55-59 3.65 1.89 1.75 2.15 1.74 0.41 1.50 0.16 1.34
60-64 2.88 1.57 1.31 1.30 1.09 0.22 1.58 0.49 1.09
65 Years & Above 4.63 2.61 2.03 1.22 1.06 0.17 3.41 1.55 1.86
Rural Areas
Total (All Ages)
10-14 18.51 9.95 8.56 1.97 1.19 0.78 16.54 8.76 7.78
15-19 15.11 7.96 7.16 5.78 4.29 1.48 9.34 3.66 5.68
20-24 11.65 5.37 6.28 6.52 4.77 1.75 5.13 0.61 4.53
25-29 10.21 4.45 5.77 6.02 4.30 1.72 4.19 0.15 4.05
30-34 8.37 3.80 4.57 5.23 4.73 1.50 3.14 0.07 3.07
35-39 8.01 3.80 4.21 5.28 3.73 1.55 2.73 0.07 2.66
40-44 6.30 3.03 3.27 4.16 2.98 1.18 2.14 0.05 2.09
45-49 5.78 2.85 2.94 3.79 2.77 1.02 1.99 0.08 1.92
50-54 4.60 2.42 2.18 3.11 2.32 0.79 1.49 0.09 1.40
55-59 3.59 1.87 1.72 2.30 1.74 0.56 1.29 0.13 1.16
60-64 2.85 1.50 1.35 1.48 1.18 0.30 1.37 0.33 1.05
65 Years & Above 5.01 2.81 2.20 1.51 1.29 0.22 3.50 1.52 1.98
Urban Areas
Total (All Ages)
10-14 15.50 8.22 7.28 0.56 0.46 0.10 14.93 7.76 7.18
15-19 14.49 7.78 6.71 3.35 2.89 0.46 11.14 4.89 6.26
20-24 12.83 6.39 6.44 6.08 5.04 1.04 6.74 1.34 5.40
25-29 10.80 5.20 5.59 5.86 5.95 0.91 4.93 0.25 4.69
30-34 9.16 4.50 4.66 5.19 4.41 0.78 3.97 0.09 3.88
35-39 8.66 4.23 4.43 4.80 4.17 0.64 3.85 0.06 3.79
40-44 6.91 3.62 3.29 4.06 3.57 0.50 2.85 0.05 2.79
45-49 6.12 3.06 3.06 3.38 2.98 0.40 2.74 0.08 2.66
50-54 4.83 2.60 2.23 2.72 2.50 0.23 2.11 0.10 2.00
55-59 3.74 1.93 1.81 1.90 1.73 0.17 1.84 0.19 1.65
60-64 2.93 1.69 1.25 1.02 0.94 0.08 1.91 0.75 1.16
65 Years & Above 4.04 2.28 1.75 0.77 0.69 0.08 3.27 1.60 1.68

24
Table A-06: Population (10 years and above) by Age groups, Sex and Marital Status for Urban
and Rural Areas, 2017-18
Age Group
(Years) Sex
Marital Status
Total Never married Married Widowed Divorced
All Areas
10 Years and
Over
Both Sexes 100 42.25 53.46 3.94 0.34
Male 100 47.38 50.19 2.17 0.26
Female 100 37.03 56.79 5.75 0.43
10-14
Both Sexes 100 99.65 0.32 0.02 0.01
Male 100 99.72 0.26 0.02 -
Female 100 99.57 0.40 0.02 0.01
15-19
Both Sexes 100 92.72 7.19 0.03 0.06
Male 100 97.45 2.53 0.02 -
Female 100 87.39 12.46 0.04 0.12
20-24
Both Sexes 100 59.36 40.25 0.10 0.28
Male 100 75.38 24.33 0.11 0.18
Female 100 44.80 54.73 0.10 0.37
25-29
Both Sexes 100 24.50 74.63 0.40 0.47
Male 100 36.14 63.19 0.35 0.32
Female 100 14.84 84.14 0.43 0.59
30-34
Both Sexes 100 9.05 89.77 0.55 0.62
Male 100 13.31 85.99 0.25 0.45
Female 100 5.30 93.12 0.82 0.77
35-39
Both Sexes 100 3.41 94.44 1.43 0.72
Male 100 4.30 94.42 0.59 0.69
Female 100 2.59 94.46 2.20 0.75
40-44
Both Sexes 100 1.97 94.86 2.63 0.54
Male 100 2.23 96.26 1.08 0.43
Female 100 1.71 93.47 4.17 0.65
45-49
Both Sexes 100 1.32 92.87 5.18 0.63
Male 100 1.39 96.34 1.63 0.65
Female 100 1.26 89.47 8.66 0.61
50-54
Both Sexes 100 1.16 90.66 7.79 0.39
Male 100 1.18 95.45 3.04 0.33
Female 100 1.14 85.24 13.17 0.45
55-59
Both Sexes 100 0.71 84.92 13.83 0.53
Male 100 0.69 93.14 5.78 0.38
Female 100 0.73 76.05 22.52 0.70
60-64
Both Sexes 100 1.29 78.49 19.84 0.37
Male 100 0.92 88.18 10.53 0.37
Female 100 1.75 66.83 31.05 0.37
65 and above
Both Sexes 100 0.82 60.11 38.73 0.35
Male 100 0.87 75.97 22.95 0.20
Female 100 0.74 39.70 59.03 0.53
Contd…

25
Age Group
(Years) Sex
Marital Status
Urban Area
10 Years and
Over
Both Sexes 100 43.49 52.16 4.00 0.35
Male 100 48.17 49.54 2.00 0.29
Female 100 38.51 54.94 6.13 0.41
10-14
Both Sexes 100 99.75 0.22 0.01 0.01
Male 100 99.84 0.15 0.01 -
Female 100 99.65 0.31 0.01 0.03
15-19
Both Sexes 100 95.87 4.09 0.01 0.03
Male 100 98.94 1.05 - -
Female 100 92.32 7.60 0.02 0.06
20-24
Both Sexes 100 69.26 30.38 0.05 0.30
Male 100 83.57 16.19 0.01 0.24
Female 100 55.06 44.47 0.09 0.37
25-29
Both Sexes 100 31.29 67.93 0.33 0.45
Male 100 44.52 54.81 0.27 0.41
Female 100 18.98 80.14 0.39 0.49
30-34
Both Sexes 100 12.26 86.52 0.48 0.75
Male 100 17.80 81.46 0.26 0.48
Female 100 6.91 91.40 0.68 1.00
35-39
Both Sexes 100 3.70 94.11 1.36 0.82
Male 100 5.07 93.49 0.66 0.79
Female 100 2.40 94.71 2.03 0.85
40-44
Both Sexes 100 2.35 94.85 2.44 0.36
Male 100 2.82 96.22 0.58 0.38
Female 100 1.83 93.34 4.48 0.35
45-49
Both Sexes 100 1.60 92.30 5.64 0.46
Male 100 1.48 96.66 1.28 0.58
Female 100 1.73 87.94 9.99 0.34
50-54
Both Sexes 100 1.41 90.37 7.85 0.37
Male 100 1.68 94.99 2.98 0.36
Female 100 1.09 84.99 13.53 0.39
55-59
Both Sexes 100 0.66 83.40 15.51 0.43
Male 100 0.65 93.24 5.80 0.30
Female 100 0.67 72.95 25.81 0.57
60-64
Both Sexes 100 1.40 77.14 20.97 0.48
Male 100 0.69 88.33 10.45 0.53
Female 100 2.37 62.00 35.21 0.43
65 and above
Both Sexes 100 0.96 56.43 42.28 0.32
Male 100 0.92 75.00 23.96 0.12
Female 100 1.01 32.26 66.14 0.59
Contd…

26
Age Group
(Years) Sex
Marital Status
Rural Area
10 Years and
Over
Both Sexes 100 41.48 54.27 3.91 0.34
Male 100 46.87 50.61 2.28 0.24
Female 100 36.14 57.91 5.52 0.44
10-14
Both Sexes 100 99.60 0.38 0.02 0.07
Male 100 99.66 0.31 0.03 -
Female 100 99.52 0.45 0.02 -
15-19
Both Sexes 100 90.83 9.05 0.04 0.07
Male 100 96.53 3.43 0.04 -
Female 100 84.50 15.31 0.04 0.15
20-24
Both Sexes 100 52.55 47.04 0.14 0.27
Male 100 69.29 30.38 0.19 0.14
Female 100 38.22 61.31 0.10 0.37
25-29
Both Sexes 100 20.02 79.05 0.44 0.48
Male 100 30.02 69.32 0.41 0.28
Female 100 12.32 86.56 0.46 0.66
30-34
Both Sexes 100 6.86 92.00 0.61 0.53
Male 100 9.98 89.35 0.25 0.42
Female 100 4.27 94.21 0.90 0.62
35-39
Both Sexes 100 3.21 94.66 1.47 0.65
Male 100 3.77 95.07 0.54 0.62
Female 100 2.71 94.30 2.31 0.68
40-44
Both Sexes 100 1.71 94.86 2.76 0.66
Male 100 1.78 96.29 1.45 0.48
Female 100 1.64 93.55 3.98 0.84
45-49
Both Sexes 100 1.13 93.25 4.87 0.74
Male 100 1.32 96.12 1.86 0.69
Female 100 0.95 90.47 7.79 0.79
50-54
Both Sexes 100 1.00 90.84 7.76 0.40
Male 100 0.84 95.77 3.08 0.32
Female 100 1.17 85.39 12.94 0.49
55-59
Both Sexes 100 0.75 85.91 12.74 0.60
Male 100 0.72 93.07 5.77 0.44
Female 100 0.78 78.10 20.34 0.78
60-64
Both Sexes 100 1.22 79.36 19.12 0.29
Male 100 1.07 88.08 10.60 0.25
Female 100 1.39 69.63 28.64 0.34
65 and above
Both Sexes 100 0.74 61.97 36.93 0.36
Male 100 0.85 76.46 22.44 0.25
Female 100 0.60 43.41 55.48 0.51
Source: Labour Force Survey, PBS

27
Table A-07: Employed Population (10 years and above) by Major Occupation, Sex, Broad Age
Group and Rural/Urban Areas 2017-18
Occupation
group
Total
Employed
population
Less than 25 Years 26-59 Years
Male Female Both Sexes Male Female Both Sexes
1 2 3 4 5 6 7
All Area
All Occupations 61709276 14271189 4563071 18834260 30850900 8454969 39305869
Managers 1411705 103897 6437 110334 1173622 62747 1236369
Professionals 3146130 304531 401595 706126 1717490 640720 2358210
Technicians and
Associate professionals 2378372 398660 44972 443632 1644945 190146 1835091
Clerical Support workers 868213 166228 8148 174376 657819 11825 669644
Service and sale workers 10039946 2883457 93135 2976592 6254916 249845 6504761
Skilled agricultural
Forestry and fishery
workers 19527058 3307609 1964214 5271823 7214434 5044580 12259013
Craft and related trade
warders 8985325 2438810 849684 3288494 4341563 1064298 5405861
Plant and machine
operator 4261882 1062516 19297 1081813 3054786 26023 3080809
Elementary occupations 11090646 3605481 1175589 4781070 4791326 1164785 5956110
Occupation
group
60 Years and above
Male Female Both Sexes
8 9 10
All Occupations 3048065 521082 3569148
Managers 64599 403 65002
Professionals 79340 2455 81795
Technicians and
Associate professionals 92165 7484 99649
Clerical Support workers 24192 0 24192
Service and sale workers 537041 21553 558594
workers 1616959 379262 1996221
warders 257437 33533 290969
Plant and machine
operator 99260 0 99260
Elementary occupations 277073 76393 353466
Contd…

28
Occupation
group
Total
Employed
population
Male Female Both Sexes Male Female Both Sexes
1 2 3 4 5 6 7
Urban Area
All Occupations 20959585 4824521 814890 5639411 12725479 1634684 14360163
Managers 1052828 68016 2494 70510 888289 42178 930467
Professionals 1851105 170527 247881 418408 968309 413728 1382037
Technicians and
workers 1025117 182371 48092 230463 515223 161587 676810
warders 4476458 1198768 260689 1459457 2430074 433883 2863956
Plant and machine
operator 1896150 413428 10506 423934 1403256 13619 1416875
Occupation
group
60 Years and above
8 9 10
All Occupations 886230 73780 960011
Managers 51448 403 51851
Technicians and
workers 101518 16326 117844
warders 139263 13782 153045
Plant and machine
operator 55341 0 55341
Contd…

29
Occupation
group
Total
Employed
population
Male Female Both
Sexes
Male Female Both
Sexes
1 2 3 4 5 6 7
Rural Area
All Occupations 40749692 9446668 3748181 13194848 18125421 6820285 24945706
Managers 358878 35881 3943 39824 285333 20569 305902
Professionals 1295025 134004 153714 287718 749181 226992 976173
Technicians and
workers 18501941 3125237 1916122 5041360 6699211 4882992 11582204
warders 4508867 1240042 588995 1829037 1911490 630415 2541905
Plant and machine
operator 2365731 649088 8791 657879 1651530 12404 1663934
Occupation
group
60 Years and above
8 9 10
All Occupations 2161835 447302 2609137
Managers 13151 0 13151
Technicians and
workers 1515441 362937 1878377
warders 118174 19751 137925
Plant and machine
operator 43919 0 43919

30
Table A-08: Working Population (10 years and above) by Industry Status, Sex, Broad Age
Group, All Areas 2017-18
Contd..
Major Industry Division
Total
Employed
population
Male Female
Both
Sexes
Male Female
Both
Sexes
Total employed persons
61709276 14271189 4563071 18834260 30850900 8454969 39305869
Agriculture, forestry and fishing
37955126 4638516 2958576 7597092 8312520 5723680 14036200
Mining and quarrying
142595 36919 732 37650 101820 0 101820
Manufacturing
9905357 2673260 919805 3593065 4796976 1200420 5997396
Electricity, gas steam and air
condition supply 251866 25970 0 25970 216692 3382 220073
Water supply, Sewerage, Waste
management & remediation
activity 196133 38927 793 39721 149686 2333 152019
Construction
4697565 1561700 17383 1579082 2954787 12665 2967452
Wholesale & retail trade, repair
of motor vehicles, motorcycles 9206908 2782239 42994 2825233 5724112 140842 5864954
Transportation & Storage
3501092 865150 2848 867998 2530278 7634 2537912
Accommodation and food
services activities 1218264 407073 14315 421388 718038 20879 738916
Information and Communication
319658 57346 2507 59853 245713 8129 253842
Financial and insurance
activities 326277 48634 2283 50916 248073 13541 261613
Real estate activities
283099 49270 0 49270 218081 1313 219393
Professional scientific and
technical activities 327161 45748 1442 47190 261193 3648 264841
Administrative and support
service activities, 329751 69779 0 69779 234955 2993 237948
Pubic Administration and
defence compulsory social
security education 1539391 173984 16401 190386 1305349 26814 1332163
Education
2497925 202465 354733 557198 1300090 611567 1911656
Human health and social work
activities 959739 135127 40988 176115 504949 240736 745785
Arts, Entertainment &
recreation 111732 35550 2245 37795 64878 2699 67577
Other services activities
1294544 316344 63670 380014 743300 93587 836887
Activities of households as
employers & undifferentiated
goods & services producing
activities of household for own
use 827224 107187 121357 228545 207283 335240 542524
Activities extraterritorial
organizations and bodies 18845 - - - 12128 2869 14997

31
Group, All Areas 2017-18
Contd..
60 Years and above
3048065 521082 3569148
1706059 414797 2120856
3125 0 3125
Manufacturing
272025 42871 314896
condition supply 5823 0 5823
activity 4394 0 4394
Construction
151031 0 151031
of motor vehicles, motorcycles 498918 17803 516721
Transport, storage
95183 0 95183
services activities 56489 1471 57960
5561 403 5963
Financial and insurance
activities 13747 0 13747
14436 0 14436
technical activities 15130 0 15130
service activities, 19878 2146 22023
Public Administration and
Defence 16848 0 16842
security education 16842 0 16842
Education
26045 3026 29071
activities 28989 8951 37940
Arts, Entertainment &
recreation 6360 0 6360
76501 1141 77642
use 27681 28475 56155
organizations and bodies 3849 0 3849

32
Group, Urban Areas 2017-18
Total
Employed
population
Male Female
Both
Sexes
Male Female
Both
Sexes
Total employed persons 20959585 4824521 814890 5639411 12725479 1634684 14360163
Agriculture, forestry and fishing 1269186 262680 85958 348639 598032 194690 792721
Mining and quarrying 15850 2284 0 2284 13566 0 13566
Manufacturing 5358721 1385362 297238 1682600 2986095 507818 3493912
activity 107895 23192 793 23985 80709 1299 82008
Construction 1375523 389982 2839 392821 910906 2983 913890
of motor vehicles, motorcycles 5318129 1553987 23397 1577384 3381239 57331 3438570
Transport, storage 1533771 301645 1279 302925 1169202 1232 1170434
services activities 661380 202964 8412 211376 399241 13615 412856
Information and Communication 261139 44266 2507 46773 205108 7641 212748
Financial and insurance activities 239339 33646 2283 35929 185448 8197 193645
Real estate activities 210589 35266 0 35266 163006 1313 164318
technical activities 199048 23278 871 24149 163029 259 163288
service activities, 208176 51321 0 51321 142580 1978 144557
security education 920868 87903 10534 98437 790272 21784 812056
Education 1319639 95181 222969 318149 595768 384609 980378
activities 556894 76697 24110 100807 297120 131740 428860
Arts, Entertainment & recreation 63605 20266 2245 22510 35525 1810 37335
Other services activities 622958 146358 40636 186994 345055 61798 406853
use 540217 67473 88820 156294 123612 228337 351949
organizations and bodies 16485 0 0 0 9767 2869 12636
Contd..

33
Group, Urban Areas 2017-18
60 Years and above
886230 73780 960011
109070 18755 127826
0 0 0
Manufacturing
161244 20965 182209
condition supply 5823 0 5823
activity 1901 0 1901
Construction
68813 0 68813
of motor vehicles, motorcycles 294372 7803 302175
Transport, storage
60412 0 60412
services activities 36055 1092 37148
1215 403 1617
Financial and insurance activities
9765 0 9765
11005 0 11005
technical activities 11611 0 11611
service activities, 10151 2146 12297
Public Administration and
Defence Pubic Administration
and defence compulsory social
security education 10376 0 10376
Education
18657 2455 21112
activities 19786 7440 27227
Arts, Entertainment & recreation
3760 0 3760
29111 0 29111
use 19253 12721 31974
organizations and bodies 3849 0 3849
Contd..

34
Group, Rural Areas 2017-18
Total
Employed
population
Male Female
Both
Sexes
Male Female
Both
Sexes
Total employed persons 40749692 9446668 3748181 1319484818125421 6820285 24945706
Agriculture, forestry and fishing 22484963 4375835 2872618 7248453 7714488 5528991 13243479
Mining and quarrying 126746 34635 732 35367 88254 0 88254
Manufacturing 4546635 1287898 622567 1910465 1810882 692602 2503484
management & remediation activity 88239 15735 0 15735 68977 1033 70011
Construction 3322042 1171718 14544 1186262 2043880 9682 2053562
Wholesale & retail trade, repair of
motor vehicles, motorcycles 3888780 1228253 19597 1247850 2342873 83511 2426384
Transport, storage 1967321 563505 1568 565073 1361076 6402 1367477
Accommodation and food services
activities 446884 204109 5903 210012 318797 7264 326060
Information and Communication 58519 13080 0 13080 40605 488 41093
Financial and insurance activities 86938 14988 0 14988 62625 5344 67968
Real estate activities 72510 14004 0 14004 55075 0 55075
Professional scientific and technical
activities 128114 22470 571 23041 98164 3389 101553
Administrative and support service
activities, 121575 18458 0 18458 92375 1016 93391
Public Administration and Defence
Pubic Administration and defence
compulsory social security education 618522 86082 5868 91949 515077 5030 520107
Education 1178286 107284 131764 239049 704321 226957 931279
activities 402845 58430 16878 75308 207828 108996 316824
Arts, Entertainment & recreation 48128 15285 0 15285 29354 889 30242
Other services activities 671585 169986 23034 193020 398246 31788 430034
Activities of households as employers
& undifferentiated goods & services
producing activities of household for
own use 287007 39714 32537 72251 83671 106904 190575
Activities extraterritorial organizations
and bodies 2360 0 0 0 2360 0 2360
Contd..

35
Group, Rural Areas 2017-18
60 Years and above
Total employed persons 2161835 447302 2609137
Agriculture, forestry and fishing 1596989 396042 1993031
Mining and quarrying 3125 0 3125
Manufacturing 110781 21905 132687
Electricity, gas steam and air condition
supply 0 0 0
management & remediation activity 2493 0 2493
Construction 82219 0 82219
Wholesale & retail trade, repair of motor
vehicles, motorcycles 204546 10000 214546
Transport, storage 34771 0 34771
Accommodation and food services
activities 20434 378 20812
Information and Communication 4346 0 4346
Financial and insurance activities 3982 0 3982
Real estate activities 3430 0 3430
Professional scientific and technical
activities 3519 0 3519
Administrative and support service
activities, 9726 0 9726
Public Administration and Defence Pubic
Administration and defence compulsory
social security education 6466 0 6466
Education 7388 571 7959
Human health and social work activities 9202 1511 10713
Arts, Entertainment & recreation 2601 0 2601
Other services activities 47390 1141 48531
Activities of households as employers &
undifferentiated goods & services
producing activities of household for
own use 8427 15754 24181
Activities extraterritorial organizations
and bodies 0 0 0

36
Table A-09: Percentage Distribution of Households by Housing Tenure PSLM 2014-15 and
2018-19
Region & Province
Households by housing tenure
Own Rent Free Subsidized Rent Total
PSLM 2014-15
Pakistan 84 8 6 1 100
Punjab 85 7 7 1 100
Sindh 81 11 6 2 100
Khyber Pakhtunkhwa 87 7 5 2 100
Balochistan 88 6 5 1 100
Urban Areas
Punjab 75 17 6 2 100
Sindh 73 19 4 4 100
Rural Areas
Punjab 90 3 7 0 100
Sindh 91 1 8 0 100
PSLM 2018-19
Pakistan 84 10 5 1 100
Punjab 84 9 6 1 100
Sindh 82 12 5 1 100
Khyber Pakhtunkhwa * 86 7 6 2 100
Urban Areas
Punjab 73 20 5 2 100
Sindh 71 21 6 2 100
Rural Areas
Punjab 91 3 6 1 100
Sindh 95 1 3 0 100
Source:- Pakistan Social and Living Standards Measurement Survey, PBS.
Note: Households having the housing tenure indicated expressed as a percentage of the total number of households.
Total may not add to 100 because of rounding.
* In PSLM survey 2018-19 FATA has been included in KP.

37
Table A-10: Percentage Distribution of Households by Material Used for Walls PSLM, 2014-15
and 2018-19
Region & Province
Households by Material Used for Walls
Burnt Bricks/
Blocks
Mud Bricks/
Mud
Wood/
Bamboo Other Total
PSLM 2014-15
Pakistan 79.15 15.85 1.45 3.54 100.00
Punjab 89.85 9.23 0.16 0.76 100.00
Sindh 72.06 22.57 4.62 0.76 100.00
Khyber Pakhtunkhwa 61.18 15.61 0.56 22.64 100.00
Balochistan 30.32 63.67 1.51 4.50 100.00
Urban Areas
Punjab 98.41 1.37 0.08 0.15 100.00
Sindh 96.49 2.84 0.57 0.10 100.00
Balochistan 67.13 31.40 0.09 1.38 100.00
Rural Areas
Punjab 85.56 13.18 0.20 1.06 100.00
Sindh 42.90 46.11 9.45 1.55 100.00
Balochistan 16.56 75.73 2.04 5.67 100.00
PSLM 2018-19
Pakistan 81.6 14.5 0.9 3.0 100.00
Punjab 93.3 6.0 0.2 0.5 100.00
Sindh 73.1 23.5 3.3 0.1 100.00
Khyber Pakhtunkhwa * 62.9 20.3 0.2 16.6 100.00
Balochistan 33.2 59.0 0.8 7.0 100.00
Urban Areas 95.5 3.5 0.3 0.7 100.00
Punjab 97.8 1.3 0.2 0.7 100.00
Sindh 95.8 3.5 0.7 0.0 100.00
Balochistan 65.6 33.0 0.1 1.2 100.00
Rural Areas 73.1 21.2 1.3 4.4 100.00
Punjab 90.5 8.8 0.2 0.5 100.00
Sindh 46.5 47.0 6.3 0.1 100.00
Balochistan 20.4 69.2 1.0 9.3 100.00
Source:- Pakistan Social and Living Standards Measurement Survey, PBS 2018-19
Note: Categories “Other” consists of stone and anything other than Burnt Bricks/Blocks, Mud Bricks/Mud &
wood/Bamboo. Total may not add to 100 because of rounding.

38
Table A-11: Percentage Distribution of Households by Material Used for Roof PSLM 2014-15 and
2018-19
Region & Province
Households by Material Used for Roof
RCC/
RBC
Wood/
Bamboo
Sheet/
Iron Cement
Other T-Iron/Gardar
PSLM 2014-15
Pakistan 29.96 26.52 3.94 0.89 38.70
Punjab 28.48 18.85 1.38 1.39 49.90
Sindh 34.46 29.55 6.67 0.09 29.23
Balochistan 6.96 68.07 3.06 0.19 21.72
Urban Areas 57.33 8.65 5.10 0.43 28.49
Punjab 57.02 8.72 0.74 0.72 32.80
Sindh 59.32 5.04 10.91 0.11 24.63
Balochistan 21.09 30.73 5.99 0.04 41.16
Rural Areas 13.90 37.70 3.25 1.15 44.65
Punjab 14.17 23.93 1.70 1.72 58.47
Sindh 4.80 58.79 1.62 0.07 34.72
Balochistan 1.68 82.03 1.96 0.24 14.07
PSLM 2018-19
Pakistan 33.3 22.9 3.0 0.8 40.1
Punjab 34.9 13.1 1.3 1.2 49.5
Sindh 32.2 31.0 3.4 0.1 33.3
Balochistan 9.1 63.2 2.0 0.3 25.4
Urban Areas 60.2 7.1 2.7 0.5 29.5
Punjab 64.0 5.7 1.5 0.7 28.0
Sindh 57.1 5.2 4.6 0.2 32.9
Balochistan 19.8 30.6 2.8 0.5 46.3
Rural Areas 16.8 32.5 3.2 1.0 46.5
Punjab 17.3 17.5 1.2 1.5 62.5
Sindh 3.1 61.2 1.9 0.1 33.7
Balochistan 4.9 75.9 1.7 0.3 17.2
Source:- Pakistan Social and Living Standards Measurement Survey, PBS
Note: Total may not add to 100 because of rounding.

39
Table A-12: Percentage Distribution of Households by Fuel Used for Lighting PSLM 2014-15 and
2018-19
Region & Province
Fuel Used for Lighting
Electricity Gas/ Oil Wood/Candle Other Total
PSLM 2014-15
Pakistan 93.45 4.00 0.77 1.79 100.00
Punjab 94.82 3.74 0.54 0.89 100.00
Sindh 91.28 4.09 1.21 3.43 100.00
Balochistan 80.73 15.12 2.64 1.51 100.00
Urban Areas 98.70 0.96 0.18 0.17 100.00
Punjab 98.55 1.10 0.26 0.09 100.00
Sindh 98.90 0.73 0.10 0.27 100.00
Balochistan 97.59 1.93 0.18 0.30 100.00
Rural Areas 90.37 5.78 1.11 2.74 100.00
Punjab 92.96 5.07 0.68 1.29 100.00
Sindh 82.18 8.10 2.52 7.20 100.00
Balochistan 74.42 20.06 3.56 1.96 100.00
PSLM 2018-19
Pakistan 91.2 1.0 0.7 7.0 100.00
Punjab 95.5 1.1 0.4 3.1 100.00
Sindh 86.2 0.7 1.6 11.5 100.00
Khyber Pakhtunkhwa* 87.0 0.4 0.1 12.4 100.00
Balochistan 75.0 4.1 2.7 18.2 100.00
Urban Areas 98.3 0.3 0.1 1.3 100.00
Punjab 99.0 0.3 0.1 0.6 100.00
Sindh 97.7 0.1 0.3 1.9 100.00
Balochistan 94.9 1.0 0.2 3.9 100.00
Rural Areas 86.8 1.5 1.1 10.6 100.00
Punjab 93.3 1.5 0.6 4.6 100.00
Sindh 72.7 1.4 3.1 22.8 100.00
Balochistan 67.2 5.3 3.7 23.8 100.00
Source:- Pakistan Social and Living Standards Measurement Survey, PBS
Total may not add to 100 because of rounding.

40
Table A-13: Percentage Distribution of Households by Fuel Used for Cooking PSLM 2014-15 and
2018-19
Region & Province
Fuel Used for Cooking
Gas Wood/Sticks Oil Other Total
PSLM 2014-15
Pakistan 41.34 51.17 0.08 7.42 100.00
Punjab 38.80 51.06 0.07 10.07 100.00
Sindh 56.34 38.29 0.05 5.33 100.00
Balochistan 24.71 73.14 0.32 1.83 100.00
Urban Areas 84.84 13.30 0.09 1.71 100.00
Punjab 82.38 15.01 0.08 2.53 100.00
Sindh 90.74 8.29 0.03 0.95 100.00
Balochistan 59.65 37.73 0.39 2.23 100.00
Rural Areas 15.83 73.37 0.08 10.72 100.00
Punjab 16.94 69.14 0.06 13.86 100.00
Sindh 15.30 74.08 0.07 10.55 100.00
Balochistan 11.65 86.38 0.29 1.68 100.00
PSLM 2018-19
Electricity Gas/Oil Wood/Charcoal Other Total
Pakistan 0.1 47.5 36.1 16.3 100.00
Punjab 0.0 50.2 27.3 22.5 100.00
Sindh 0.1 55.0 36.1 8.8 100.00
Balochistan 0.0 37.5 53.2 9.3 100.00
Urban Areas 0.1 86.3 11.4 2.2 100.00
Punjab 0.1 87.8 9.7 2.5 100.00
Sindh 0.1 87.5 10.7 1.7 100.00
Balochistan 0.0 70.8 27.5 1.8 100.00
Rural Areas 0.1 23.8 51.2 25.0 100.00
Punjab 0.0 27.6 37.9 34.5 100.00
Sindh 0.0 16.9 65.9 17.2 100.00
Balochistan 0.0 24.4 63.3 12.3 100.00
Source:- Pakistan Social and Living Standards Measurement Survey PBS
Total may not add to 100 because of rounding

41
Table A-14: Percentage Distribution of Households by Main Source of Drinking Water- Pakistan
and Provinces 2013-14, 2014-15 & 2018-19
Province and
water source
2013-14 PSLM 2014-15 PSLM 2018-19 PSLM
Urban Rural Overall Urban Rural Overall Urban Rural Overall
Pakistan
Tap Water 52 11 26 51 13 27 31.0 10.8 18.5
Hand Pump 8 41 29 7 38 26 6.2 34.3 23.6
Motor Pump 28 34 32 27 36 33 30.1 38.2 35.1
Dug Well 1 5 3 1 5 3 0.6 4.3 2.9
Others 11 10 10 14 9 11 32.1 12.4 19.9
Total 100 100 100 100 100 100 100.0 100.0 100.0
Balochistan
Tap Water 68 19 32 69 20 33 53.2 18.6 28.3
Hand Pump 4 9 8 3 8 7 1.7 8.0 6.2
Motor Pump 9 15 13 11 21 18 15.1 29.4 25.4
Dug Well 1 13 10 1 15 11 1.2 11.4 8.6
Others 19 44 36 17 36 30 28.8 32.6 31.5
Total 100 100 100 100 100 100 100.0 100.0 100.0
Khyber Pakhtunkhwa *
Tap Water 49 27 31 55 30 35 46.6 18.9 23.6
Hand Pump 8 15 14 7 14 12 6.3 13.9 12.6
Motor Pump 35 19 22 32 25 26 38.4 34.8 35.4
Dug Well 4 12 11 4 9 8 5.9 11.5 10.5
Others 3 27 23 3 22 18 2.9 20.9 17.9
Total 100 100 100 100 100 100 100.0 100.0 100.0
Punjab
Tap Water 36 7 17 35 9 18 17.0 8.4 11.6
Hand Pump 9 42 31 7 38 28 5.8 33.1 22.8
Motor Pump 41 48 46 40 47 45 37.2 48.8 44.5
Dug Well 1 1 1 1 1 1 .1 .6 .4
Others 13 2 6 18 4 9 39.8 9.1 20.7
Total 100 100 100 100 100 100 100.0 100.0 100.0
Sindh
Tap Water 73 8 42 69 7 41 50.4 7.6 30.7
Hand Pump 8 69 37 8 63 33 7.3 69.6 36.0
Motor Pump 10 7 8 11 12 11 17.4 8.4 13.3
Dug Well 1 7 3 1 8 4 .5 6.6 3.3
Others 10 10 9 11 9 10 24.4 7.8 16.8
Total 100 100 100 100 100 100 100.0 100.0 100.0
Source:- Pakistan Social & Living Standards Measurement, PBS
Notes: 1. Household obtaining water from the source indicated expressed as a percentage of the total number of
households.
2. Categories: “Tap water” consists of both tap water inside and outside house. ”Hand pump” includes hand pumps
both inside and outside. “Motor pump” includes motor pump and tube well outside the house; “Dug well” includes
well open and well closed both inside and outside the house; and “Other” includes public standpipe (supplied by
tanker), water sell, canal, river, spring, stream, pond and other.
3. Total may not add to 100 because of rounding.

42
Table A-15: Percentage Distribution of Housing Units by Type of Toilet Used and Urban/Rural
Province and
Sanitation System
2013-14 PSLM 2014-15 PSLM 2018-19 PSLM
Urban Rural Overall Urban Rural Overall Urban Rural Overall
Pakistan
Flush 98 61 74 97 60 73 98 70 80
Non-Flush 1 13 9 2 20 13 1 12 8
No Toilet 1 26 17 1 21 13 1 18 12
Total 100 100 100 100 100 100 100 100 100
Balochistan
Flush 82 25 39 78 14 31 81 25 41
Non-Flush 17 41 34 22 68 65 17 51 41
No Toilet 1 35 26 0 18 13 2 23 17
Total 100 100 100 100 100 100 100 100 100
Flush 95 68 73 97 71 76 96 80 83
Non-Flush 4 10 9 2 15 12 3 10 9
No Toilet 1 22 18 1 14 12 1 9 8
Total 100 100 100 100 100 100 100 100 100
Punjab
Flush 99 73 81 98 70 77 99 80 87
Non-Flush 0 1 1 1 6 5 0 1 1
No Toilet 1 26 18 1 24 16 1 18 12
Total 100 100 100 100 100 100 100 100 100
Sindh
Flush 98 29 65 97 31 67 98 37 69
Non-Flush 2 47 23 3 53 26 2 38 18
No Toilet 1 24 12 1 16 7 1 25 12
Total 100 100 100 100 100 100 100 100 100
Source:- Pakistan Social & Living Standards Measurement Survey, 2018-19 PBS
Notes:- 1. Households having the type of toilets indicated, expressed as a percentage of the total number of households.
2. "Flush" consists of flush connected to public sewerage, flush connected to septic tank and flush to open drain
while "Non-Flush" contains dry raised latrine, dry pit latrine and other.
3. Totals may not add up to 100 because of rounding.

43
Table A-16: Percentage Distribution of Civilian Labour Force
Year
Total Employed Unemployed
Both
sexes Male Female
Both
sexes Male Female
Both
sexes Male Female
1991-92 28.11 23.66 4.45 26.47 22.65 3.82 1.64 1.01 0.63
1992-93 27.86 23.72 4.15 26.54 22.83 3.72 1.32 0.89 0.43
1993-94 27.88 23.59 4.29 26.53 22.67 3.86 1.35 0.92 0.43
1994-95 27.46 23.80 3.66 25.98 22.82 3.16 1.48 0.98 0.50
1996-97 28.69 24.34 4.35 26.93 23.31 3.62 1.75 1.03 0.73
1997-98 29.38 24.85 4.53 27.65 23.80 3.85 1.73 1.05 0.68
1999-00 28.97 24.45 4.52 26.70 22.96 3.74 2.27 1.48 0.78
2001-02 29.61 24.84 4.76 27.16 23.18 3.98 2.45 1.66 0.79
2003-04 30.41 24.97 5.44 28.07 23.32 4.75 2.34 1.64 0.69
2006-07 31.82 25.24 6.58 30.13 24.10 6.03 1.69 1.14 0.55
2007-08 32.17 25.36 6.81 30.50 24.27 6.23 1.67 1.09 0.58
2008-09 32.81 25.59 7.22 31.02 24.45 6.57 1.79 1.14 0.65
2009-10 32.98 25.49 7.50 31.15 24.36 6.79 1.83 1.12 0.71
2010-11 32.83 25.21 7.62 30.88 23.93 6.95 1.95 1.28 0.67
2012-13 32.88 25.30 7.57 30.83 23.94 6.89 2.05 1.36 0.68
2013-14 32.28 24.32 7.76 30.35 23.27 7.08 1.92 1.25 0.68
2014-15 32.27 24.52 7.75 30.35 23.30 7.05 1.92 1.22 0.69
2017-18 31.70 24.56 7.14 29.86 23.31 6.55 1.84 1.25 0.59
Source: - Labour Force Surveys, PBS.

44
Table A-17: Percentage Distribution of Population by Economic Category
Economic category 2012-13 2013-14 2014-15 2017-18
All Areas
Total population 100.00 100.00 100.00 100.00
Civilian labour force 45.70 45.45 45.22 44.28
i) Employed 42.84 42.74 42.54 41.72
ii) Un-employed 2.85 2.71 2.69 2.57
Not in civilian labour force 54.30 54.55 54.78 55.72
Urban Areas
i) Employed 36.20 35.58 35.57 36.84
ii) Un-employed 3.51 3.13 3.08 2.87
Rural Areas
i) Employed 46.53 46.73 46.55 44.77
ii) Un-employed 2.49 2.46 2.46 2.37

45
Table A-18: Percentage Distribution of Employed Persons by Major Industry Division
Major Industry Division 2009-10 2010-11 2012-13 2013-14* 2014-15 2017-18
All Areas
Total employed persons 100.00 100.00 100.00 100.00 100.00 100.00
Agriculture, forestry, hunting and fishing 44.96 45.05 43.71 43.48 38.49 42.27
Mining and quarrying 0.10 0.15 0.14 0.20 0.23 0.16
Manufacturing 13.24 13.65 14.06 14.16 16.05 15.33
Electricity, gas, water and sanitary services .80 0.48 0.75 0.78 0.73 0.79
Construction 6.74 6.95 7.44 7.33 7.61 7.31
Wholesale, retail trade, restaurants & hotels 16.28 16.15 15.94 16.15 14.92 14.64
Transport, storage and communication 5.24 5.11 5.48 5.45 8.17 7.01
Financing, insurance, real estate and
business services 1.48 1.42 1.72 1.74 0.99 0.96
Community, social and personal services 11.08 11.00 9.79 9.55 9.34 8.64
Activities not adequately described 0.09 0.03 0.96 1.16 3.47 2.88
Urban
Manufacturing 23.80 25.14 26.15 24.22 25.57 26.06
Electricity, gas, water and sanitary services 1.50 0.94 1.50 1.51 1.28 1.56
Construction 6.57 6.63 6.75 7.82 6.56 7.78
Rural
Manufacturing 8.72 8.80 8.84 9.67 11.16 10.60
Electricity, gas, water and sanitary services 0.51 0.28 0.44 0.45 0.44 0.46
Construction 6.81 7.09 7.74 7.11 8.15 7.10
* = Adjusted according to PSCO-1994.

46
Table A-19: Percentage Distribution of Employed Persons by Major Occupational Group
Major Occupational Group 2010-11 2012-13* 2013-14* 2014-15 2017-18
All Areas
Total employed persons 100.00 100.00 100.00 100.00 100.00
Legislators, Senior Officials and
Managers 1.25 2.39 1.66 2.19 2.29
Professionals 1.79 4.22 4.55 4.73 5.10
Technicians and Associate
Professionals
5.32 3.03 2.79 3.13 3.85
Clerks 1.25 1.37 1.52 1.51 1.41
Service Workers and Shop and
Market Sale Workers 4.74 15.55 16.10 15.70 16.27
Skilled Agricultural and Fishery
Workers 37.60 37.69 37.84 37.13 31.64
Craft and related Trade Workers 14.98 14.67 14.10 13.54 14.56
Plant and Machine Operators and
Assemblers 3.51 4.77 5.98 6.24 6.91
Elementary (Unskilled)
Occupations 19.56 16.32 15.47 15.83 17.97
Urban Areas
Managers 21.60 5.61 3.89 5.29 5.02
Professionals 3.73 7.20 8.18 8.48 8.83
Professionals
9.48 6.43 5.42 5.73 7.09
Clerks 2.77 3.09 3.47 3.35 2.81
Workers 5.50 5.31 5.01 4.67 4.89
Assemblers 4.96 7.17 9.24 9.15 9.05
Occupations 17.79 12.92 13.90 13.51 14.16
Rural Areas
Managers 6.88 0.99 0.66 0.82 0.88
Professionals 0.97 2.93 2.93 3.08 3.18
Professionals
3.57 1.56 1.62 1.99 2.19
Clerks 0.61 0.63 0.64 0.71 0.68
Workers 51.16 51.66 52.50 51.44 45.40
Assemblers 2.90 3.73 4.52 4.96 5.81
Occupations 20.31 17.79 11.17 16.85 19.93
Source: - Labour Force Surveys, PBS. * = Adjusted according to PSCO-1994

47
Table A-20: Land Utilization Statistics
(Million Hectares)
Year
Total area
Total area
reported col
(3+4+5+6)
Forest
area
Not available
for cultivation
Culturable
waste
1 2 3 4 5
2004-05 79.61 57.22 4.02 24.39 8.94
2005-06 79.61 57.22 4.03 22.87 8.21
2006-07 79.61 57.05 4.19 22.70 8.30
2007-08 79.61 57.08 4.21 23.41 8.19
2008-09 79.61 57.21 4.21 23.47 8.15
2009-10 79.61 57.10 4.23 23.49 8.09
2010-11 79.61 57.64 4.26 23.37 7.98
2011-12 79.61 57.73 4.26 23.25 8.19
2012-13 79.61 57.78 4.26 23.06 8.21
2013-14 79.61 57.99 4.55 25.56 8.27
2014-15 79.61 57.99 4.54 25.54 8.30
2015-16 79.61 58.11 3.99 25.53 8.27
2016-17 79.61 58.00 4.47 25.54 8.37
2017-18 * 79.61 58.02 4.47 25.60 8.29
2018-19 P * 79.61 58.02 4.47 25.60 8.29
year
Cultivated
area Col (6+7)
Current
fallow
Net area
sown
Area sown
more than
once
Total cropped
Area
COL(8+9)
6 7 8 9 10
2004-05 22.13 6.86 15.27 7.51 22.78
2005-06 22.11 6.72 15.39 7.74 23.13
2006-07 21.87 5.72 16.16 7.40 23.56
2007-08 21.17 4.93 16.25 7.51 23.85
2008-09 21.21 4.93 16.28 7.52 23.80
2009-10 21.26 5.20 16.20 7.67 23.87
2010-11 22.03 6.38 15.65 7.07 22.72
2011-12 22.04 7.05 14.98 7.52 22.51
2012-13 22.26 7.04 15.22 7.34 22.56
2013-14 22.06 6.52 15.40 7.76 23.16
2014-15 23.24 6.66 15.46 7.82 23.26
2015-16 22.74 10.14 15.62 7.90 24.04
2016-17 22.11 9.51 15.59 7.46 23.01
2017-18 * 22.15 9.40 15.74 7.75 23.45
2018-19 P * 22.15 9.40 15.74 7.75 23.45
Source:- Agricultural Statistics of Pakistan, M/o National Food Security and Research
* = Pakistan Economic Survey
P = Provisional

48
TableA-21: Area under Agricultural Crops
(000 Hectares)
Year Rice Wheat Bajra Jowar Maize Barley Gram Masoor
2008-09 2962.6 9046.0 469.7 262.7 1052.1 86.0 1080.6 30.9
2009-10 2883.1 9131.6 475.7 248.4 935.1 84.1 1066.9 24.0
2010-11 2365.3 8900.7 548.4 228.8 974.3 77.1 1053.8 26.1
2011-12 2571.2 8649.8 458.3 213.5 1087.3 72.2 1007.5 22.8
2012-13 2308.8 8660.2 461.1 198.4 1059.5 73.1 992.0 19.3
2013-14 2789.2 9199.3 474.6 197.8 1168.5 70.9 949.6 18.2
2014-15 2890.6 9203.9 462.0 194.8 1142.5 67.7 942.7 17.7
2015-16 2739.5 9223.7 486.0 273.6 1191.2 66.1 939.5 17.9
2016-17 2724.0 8972.5 469.1 256.4 1348.4 60.9 971.1 14.7
2017-18 2900.6 8797.2 488.8 255.4 1250.8 57.6 976.6 13.4
2018-19* 2810.0 8678.0 456.0 241.0 1374.0 57.0 943.0 12.9
Year Mash Mung
Other
Pulses
Rapeseed
& mustard
Sesamum Linseed Groundnut Cotton
2008-09 27.6 219.7 9.1 244.9 90.6 5.4 92.8 2819.9
2009-10 24.1 183.3 14.1 190.4 79.8 4.2 87.4 3105.7
2010-11 24.3 137.4 12.1 216.5 77.6 4.0 82.9 2689.1
2011-12 24.5 140.8 7.4 215.5 75.7 3.8 95.6 2834.5
2012-13 23.2 135.9 5.5 238.9 70.9 3.7 81.7 2878.8
2013-14 20.9 130.9 4.5 242.6 81.7 3.3 93.8 2805.7
2014-15 20.8 127.4 4.8 213.9 82.7 3.0 96.3 2961.3
2015-16 19.2 146.2 4.8 206.1 78.6 3.1 91.9 2901.9
2016-17 17.1 178.8 3.9 190.5 80.0 2.9 91.1 2488.9
2017-18 15.4 162.5 3.5 213.5 82.7 2.9 99.1 2700.3
2018-19* 14.1 163.2 3.2 237.0 83.3 2.6 98.6 2373.0
Contd…

49
Table A-21: Area under Agricultural Crops
(000 Hectares)
Year Jute Sunhemp
Sugar
cane
Tobacco Potato Vegetables Garlic Chilies
2008-09 0 1.2 1,029.40 49.7 145.0 253.0 8.4 73.8
2009-10 0 1.0 943.0 55.8 138.5 249.8 6.8 74.7
2010-11 0 0.8 987.6 51.3 159.4 252.1 6.6 63.6
2011-12 0 0.7 1057.5 45.8 184.9 251.2 6.7 27.4
2012-13 0 0.5 1128.8 49.8 172.8 256.0 7.0 63.6
2013-14 0 0.2 1172.5 48.9 159.8 267.7 7.5 62.7
2014-15 0 0.08 1140.5 53.8 170.5 249.4 7.9 62.5
2015-16 0 0.06 1131.6 52.7 177.4 274.5 8.1 64.8
2016-17 0 0.02 1217.6 47.2 179.6 272.7 8.3 63.7
2017-18 0 0.008 1341.8 46.4 194.0 324.8 7.8 65.2
2018-19* - - 1102.0 45.0 195.6 266.7 8.1 47.3
Year Onion
Citrus
Fruit
Banana Mango Apple Guava Grapes Dates
2008-09 129.6 199.9 36.0 170.1 113.0 62.2 15.3 90.7
2009-10 124.7 198.4 34.8 173.7 111.6 62.1 15.3 90.6
2010-11 147.6 194.5 29.6 171.9 110.6 64.0 15.3 90.1
2011-12 129.7 194.0 22.5 172.4 110.4 66.7 15.4 93.1
2012-13 126.0 194.0 27.2 170.4 103.4 67.5 15.3 89.6
2013-14 143.9 193.7 28.0 171.3 105.2 42.7 15.3 89.5
2014-15 130.5 192.8 28.2 170.8 100.2 65.5 15.3 91.2
2015-16 135.9 192.2 28.7 170.2 96.9 70.0 14.8 97.1
2016-17 137.9 186.9 29.3 169.5 95.3 67.7 14.8 97.8
2017-18 149.0 183.8 30.1 167.9 95.1 64.9 14.8 98.4
2018-19* 148.3 181.7 29.7 158.6 82 56.2 15.7 98.8

50
Table A-22: Production of Agricultural Crops
(000 Tones)
2008-09 6,952.0 24,032.9 296.4 164.5 3,593.0 81.5 740.5 14.4
2009-10 6,882.7 23,310.8 293.0 154.1 3,261.5 71.4 561.5 10.9
2010-11 4,823.3 25,213.8 346.0 141.2 3,707.0 71.2 496.0 13.3
2011-12 6,160.4 23,473.4 304.1 137.1 4,338.3 65.7 284.4 11.1
2012-13 5,535.9 24,211.4 310.6 122.7 4,220.1 67.2 751.3 9.8
2013-14 6,798.1 25,979.4 301.0 122.9 4,944.2 66.5 399.0 8.1
2014-15 7,002.8 25,086.1 294.5 114.6 4,936.8 62.8 379.2 7.0
2015-16 6,801.3 25,633.1 299.5 160.5 5,337.0 60.6 286.2 7.8
2016-17 6,849.3 26,673.6 304.7 148.4 6,134.2 58.0 329.7 7.6
2017-18 7,449.8 25,076.1 339.0 152.7 5,901.6 55.1 323.4 6.3
2018-19 * 7,202.0 24,349.0 350.0 149.0 6,826.0 55.0 447.0 6.0
Year Mash Mung
Other
Pulses
Rapeseed
& mustard
Sesamum Linseed Groundnut
Cotton
(000 bales)
2008-09 13.6 157.4 6.1 198.9 41.0 3.6 85.5 11,819.0
2009-10 10.7 118.7 7.6 162.2 33.4 2.7 53.2 12913.4
2010-11 11.3 76.2 6.8 191.9 31.1 2.8 67.8 11460.1
2011-12 10.9 93.1 5.0 178.8 30.3 2.6 87.9 13595.0
2012-13 10.9 90.0 4.2 220.3 29.2 2.6 81.3 13030.7
2013-14 10.2 92.9 3.8 230.7 32.5 2.4 100.8 12768.9
2014-15 9.0 98.8 3.5 215.8 34.3 2.1 86.0 13959.6
2015-16 8.5 102.1 2.8 194.0 31.7 2.2 91.7 9917.4
2016-17 7.2 130.1 3.0 180.4 34.1 2.2 74.7 10670.6
2017-18 7.2 122.1 2.7 209.3 35.2 2.3 86.1 11945.6
2018-19 * 6.9 117.8 2.6 237.0 35.7 1.9 97.3 9861.0
Contd..

51
Table A-22: Production of Agricultural Crops
(000 Tones)
Year Jute Sunhemp
Sugar
cane
Tobacco Potato Vegetables Garlic Chillies
2008-09 0.0 0.8 50,045.4 104.9 2,941.3 3,213.9 67.2 187.7
2009-10 0.0 0.7 49372.9 119.3 3141.5 3044.9 57.3 188.8
2010-11 0.0 0.6 55308.5 102.8 3491.8 3132.8 55.3 171.8
2011-12 0.0 0.5 58396.4 97.9 3393.0 3108.2 57.3 54.1
2012-13 3.0 0.4 63749.9 108.3 3785.9 2922.0 60.6 147.2
2013-14 0.0 0.1 67460.1 129.9 2883.8 3127.8 64.5 146.5
2014-15 0.0 0.04 62826.4 30.7 4160.1 2932.0 73.1 139.7
2015-16 0.0 0.03 65482.4 118.8 3962.4 3255.2 70.9 140.0
2016-17 0.0 0 75482.2 113.4 3831.7 3299.6 73.0 142.8
2017-18 0.0 0 83332.8 120.9 4584.3 3314.0 74.5 148.2
2018-19 * - - 67174.0 104.0 4869.3 3469.0 75.3 101.6
Year Onion
Citrus
fruits
2008-09 1,704.1 2,132.2 157.3 1,727.9 441.0 512.3 76.1 566.5
2009-10 1701.1 2150.0 154.8 1845.5 366.4 509.2 64.7 531.2
2010-11 1939.6 1982.2 141.2 1888.5 525.9 546.6 64.4 522.2
2011-12 1692.3 2147.3 98.2 1700.1 598.7 495.2 64.4 557.3
2012-13 1660.8 2001.8 141.3 1680.4 556.4 498.0 64.4 524.6
2013-14 1740.2 2167.7 120.4 1658.6 606.1 500.3 66.2 526.8
2014-15 1671.0 2396.2 118.8 1716.9 617.2 489.1 66.0 537.8
2015-16 1736.4 2344.1 132.2 1635.2 620.4 522.7 65.9 467.7
2016-17 1833.3 2180.1 134.9 1784.1 670.0 547.6 66.3 439.1
2017-18 2119.7 2351.4 135.1 1734.0 649.3 586.1 66.2 540.7
2018-19 * 2079.6 2467.0 136.0 1723.0 544.0 548.0 69.0 447.0

52
Table A-23: Number of Tube wells by Province
Year Total Balochistan
Khyber
Pakhtunkhwa
Punjab Sindh *
2006-07 1025836 32,222 14,382 884,228 95004
2007-08 1016125 34,054 14,412 872,444 95215
2008-09 1069991 33039 14,553 927006 95393
2009-10 1088018 33039 14779 944649 95551
2010-11 1103391 36214 16558 954706 95913
2011-12 997746 42488 17206 841819 96233
2012-13 1220403 42817 17206 1012541 147839
2013-14 1317250 42497 15939 1028424 230390
2014-15 1332870 42497 15939 1044044 230390
2015-16 1357036 42542 17504 1066600 230390
2016-17P 1357036 42542 17504 1066600 230390
2017-18P 1357036 42542 17504 1066600 230390
Source:- Agricultural Statistics of Pakistan, M/O National Food Security and Research
* = Commulative
P = Provisional

53
Table A-24: Overall Water Availability at Farm Gate
(MAF)
Year/Season
Surface Water Ground Water Total
At Canal
Head
At Farm
Gate
Public Tube
Wells
Private Tube
Wells
Scarp T.well
Other Pr.T
well
Water
Availability
2009-10
Kharif 69.91 58.43 0.95 20.70 3.50 0.30 83.88
Rabi 26.83 25.06 0.96 19.80 3.50 0.50 49.82
Total 96.74 83.49 1.91 40.50 7.00 0.80 133.70
2010-11
Kharif 55.79 54.46 0.95 20.70 3.50 0.30 79.91
Rabi 36.33 32.49 .96 19.80 3.50 0.50 57.25
Total 92.12 86.95 1.91 40.50 7.00 0.80 137.16
2011-12
Kharif 62.93 57.61 0.95 20.70 3.50 0.30 83.06
Rabi 31.53 28.04 0.96 19.80 3.50 0.50 52.80
Total 94.46 85.65 1.91 40.50 7.00 0.80 135.86
2012-13
Kharif 60.28 56.28 0.95 20.70 3.50 0.30 81.73
Rabi 33.36 31.02 0.96 19.80 3.50 0.50 55.78
Total 93.64 87.30 1.91 40.50 7.00 0.80 137.51
2013-14
Kharif 68.14 56.28 0.95 20.70 3.50 0.30 81.73
Rabi 34.39 31.02 0.96 19.80 3.50 0.50 55.78
Total 102.53 87.30 1.91 40.50 7.00 0.80 137.51
2014-15
Kharif 69.27 59.64 NA 21.95 2.50 24.45 84.09
Rabi 33.10 30.95 NA 20.95 2.30 23.55 54.50
Total 102.37 90.59 NA 43.20 4.80 48.0 138.59
2015-16
Kharif 65.47 52.85 NA 22.50 3.50 26.00 78.85
Rabi 32.90 29.15 NA 21.50 3.50 25.00 54.15
Total 98.37 90.50 NA 44.00 7.00 51.00 133.00
2016-17
Kharif NA 55.61 1.00 21.50 3.00 NA 81.11
Rabi NA 27.09 1.00 20.50 3.00 NA 51.52
Total 101.01 82.70 2.00 42.00 6.00 NA 132.70
2017-18
Kharif 69.97 56.05 1.50 23.00 3.00 NA 83.55
Rabi 24.15 25.35 1.00 20.50 3.00 NA 49.85
Total 94.12 81.40 2.50 43.50 6.00 NA 133.40
2018-19
Kharif 59.62 50.87 26.65 22.25 2.90 1.50 77.52
Rabi 24.15 25.35 1.00 20.50 3.00 0.00 49.88
Total 83.77 76.22 27.65 42.75 5.90 1.50 127.40

54
Table A-25: Production of Chemical Fertilizers
Year Total Urea
Ammonium
Nitrate
Supper
Phosphate
Nitro
Phosphate
2008-09 6368 4922 344 178 332
2009-10 6718 5155 383 150 345
2010-11 6797 4994 576 199 298
2011-12 6643 4686 626 165 489
2012-13 5828 4216 401 101 341
2013-14 6765 4932 519 85 472
2014-15 7116 5067 570 78 579
2015-16 8015 5770 647 90 647
2016-17 8245 5915 674 78 703
2017-18 7305 5365 519 66 534
2018-19 * 6123 5958 449 78 444
Source: - National Fertilizer Development Centre, Islamabad
*. Pakistan Economic Survey, 2019-20
Table A-26: Season-Wise Consumption of Fertilizers
(000 Nutrient Tones)
Year
Kharif Rabi Total
N P K All N P K All N P K All
2008 1332 158 15 1505 1580 374 11 1964 2912 532 26 3469
2009 1690 504 8 2202 1722 451 13 2186 3412 955 21 4388
2010 1472 278 16 1765 1729 468 18 2215 3201 746 34 3981
2011 1620 299 12 1931 1448 319 10 1777 3068 618 22 3708
2012 1454 308 9 1771 1562 402 12 1976 3116 710 21 3747
2013 1541 338 10 1888 1729 569 12 2310 3270 907 22 4198
2014 1479 331 14 1824 1722 600 17 2339 3154 958 30 4163
2015 1312 246 11 1569 1527 775 14 2315 2839 1021 25 3884
2016 1512 402 12 1926 1807 847 24 2678 3319 1249 36 4604
2017 1849 544 24 2416 1781 735 29 2545 3630 1279 53 4961
2018 1633 476 26 2135 1727 604 30 2357 3360 1080 56 4492
Source: - National Fertilizer Development Centre (NDFC), Islamabad
Note: - Kharif = April to September Rabi = October to March

55
Table A-27: Usage of Fertilizers by Crops
(000 Nutrient Tones)
Year Wheat Rice Maize Cotton Sugarcane Others Total
2008-09 1854.5 222.5 55.6 927.3 296.8 352.4 3709.0
2009-10 2180.2 261.6 65.4 1090.1 348.8 414.2 4360.4
2010-11 1965.8 236.0 59.0 983.0 314.5 373.5 3931.6
2011-12 1930.5 231.7 57.9 965.2 308.9 366.8 3860.9
2012-13 1810.8 217.3 54.3 905.4 .289.7 344.0 3621.5
2013-14 (P) 2044.6 245.3 61.3 1022.3 327.1 388.5 4089.1
2014-15 2158.3 259.0 64.8 1079.2 345.3 410.1 4316.6
2015-16 1849.6 221.9 55.5 924.8 295.9 351.4 3699.2
2016-17 2519.9 302.4 75.6 1259.9 403.2 478.8 5039.9
2017-18 2381.3 285.8 71.4 1190.6 381.0 452.4 4762.5
Source: - National Fertilizer Development Centre (NDFC), Islamabad
(P) = Provisional
Table A-28: Consumption of Pesticides
Year
Quantity (M.T)
Value
(Million Rs.)
Imports Production Total
2008 9,282 29,904 39,186 6,940
2009 5825 34818 40643 7648
2010 10899 62733 73632 13855
2011 13928 35471 49399 9395
2012 5325 1800 7125 3861
2013 15045 42706 57755 11504
2014 13048 58219 71267 14196
2015 20114 119154 139268 23020
2016 22599 154272 176871 30195
2017 18737 187993 206730 43535
2018 (upto 15-08-2018) 18243 134930 153173 37519
Source: - Agricultural Statistics of Pakistan, M/O National Food Security and Research

56
Table A-29: Estimated Livestock Population
(000 Heads)
Years 
Cattle  2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19 P
Cattle
1. Bulls 3 years & above 5374 6580 5786 6004 6231 6466 6709
a) For breeding 3251 3515 3777 4050 4330 4616 4910
b) For work 2123 3065 2009 1954 1901 1849 1799
2. Cows 3 years & above 19639 20379 21147 21944 22771 23630 24520
a) In milk 11299 11725 12167 12625 13101 13595 14108
b) Dry 5791 6009 6235 6471 6714 6968 7230
c) Not yet calved 2549 2645 2744 2848 2955 3067 3182
3. Bulls less than 3 years 6963 7226 7498 7781 8074 8379 8694
4. Cows less than 3 years 6324 6563 6810 7067 7333 7610 7897
Total Cattle 38300 39744 41240 42796 44408 46084 47821
Buffaloes
1. Bulls 3 years & above 752 771 794 818 842 867 893
a) For breeding 405 417 430 442 455 469 483
b) For work 344 354 364 375 386 398 410
2.Buffaloes 3 years & above 19175 19661 20256 20858 21478 22116 22774
a) In milk 12548 12921 13305 13701 14108 14527 14959
b) Dry 4150 4274 4401 4532 4666 4805 4948
c) Not yet calved 2405 2476 2550 2626 2704 2784 2867
3. Bulls less than 3 years 5777 5949 6125 6307 6495 6688 6887
4. Cows less than 3 years 7926 8162 8405 8654 8912 9176 9450
Total Buffaloes:- 33555 34553 35580 36637 37726 38847 40004
Contd…

57
Table A-29: Estimated Livestock Population
(000 Heads)
Years
Cattle 
2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19 P
Sheep
1. Male 1 year & above 4739 4795 4851 4909 4967 5026 4967
2. Female 1 year & above 14932 15109 15288 15469 15652 15837 15652
3. Young stock less than 1 year 9084 9192 9301 9411 9522 9635 9522
Total Sheep:- 28755 29096 29440 29789 30141 30498 30141
Goats
1. Male 1 year & above 7979 8195 8417 8645 8879 9120 9367
2. Female 1 year & above 37585 38604 39650 40724 41828 42961 44125
3. Young stock less than 1 year 19294 19816 20353 20905 21471 22053 22651
Total Goats:- 64858 66615 68420 70274 72178 74134 76143
Camels
1. 3 years & above 764 774 784 794 805 815 826
2. Less than 3 years 244 247 251 254 257 260 264
Total Camels:- 1008 1021 1035 1048 1062 1075 1090
Asses
1. 3 years & above 3973 4046 4121 4198 4275 4354 4435
2. Less than 3 years 880 896 913 930 947 964 982
Total Asses:- 4853 4942 5034 5128 5222 5318 5417
Horses
1. 3 years & above 301 303 304 306 308 310 311
2. Less than 3 years 57 58 58 58 59 59 59
Total Horses:- 358 361 362 364 367 369 371
Mules
1. 3 years & above 158 161 164 167 170 173 176
2. Less than 3 years 18 18 19 19 19 20 20
Total Mules:- 176 179 183 186 189 193 196
Poultry
Total Poultry (Million) 785 855 932 1016 1108 1210 1321
P = Provisional

58
Table A-30: Estimated Livestock Products
Products Unit 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19 P
Milk
production 000 tones 39945 41133 52632 54328 56080 57890 59759
Milk available
for human
consumption 000 tones 49512 50990 42454 43818 45228 46682 48185
Meat Production
Beef 000 tones 1830 1888 1951 2017 2085 2155 2227
Mutton 000 tones 643 657 671 686 701 717 732
Poultry meat 000 tones 907 987 1074 1170 1276 1391 1518
Other Product
Wool (Sheep) 000 tones 43.6 44.1 44.6 45.1 45.5 46.2 46.8
Hair (Goat) 000 tones 24.4 25.1 25.8 26.5 27.2 27.9 28.6
Bones 000 tones 780.5 802.9 827.2 852.3 878.2 904.9 932.5
Fat 000 tones 248.8 255.8 263.3 271.0 279.0 287.3 295.8
Blood 000 tones 61.3 62.2 64.4 66.1 67.8 69.5 71.3
Eggs Million Nos. 13813 14556 15346 16188 17083 18037 19052
Hides Million Nos. 14.5 14.8 15.2 15.9 16.4 16.9 17.5
Skins Million Nos. 50.8 51.9 53.1 54.3 55.5 56.8 58.1
Casings Million Nos. 15.3 15.8 16.3 16.9 17.5 18.0 18.7
Guts Million Nos. 51.2 52.4 53.6 54.8 56.1 57.2 58.7
P = Provisional

59
Table A-31: Estimated Milk Production
(000 Tones)
Years Cows Buffaloes Sheep Goats She Camel Total
2007-08
Gross Production 14435 26214 35 701 786 42171
Human Consumption 11548 20971 35 701 786 34041
2008-09
2009-10
2010-11
2011-12
2012-13
2013-14
2014-15
2015-16
2016-17
2017-18
2018-19

60
Table A-32: Estimated Meat and Eggs Production
Years 2011-12 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
BEEF
Cattle 877(88) 910(88) 944(94) 980(98) 1017(102) 1055(105) 1095(109) 1132(112)
Buffaloes 887(89) 914(89) 937(89) 966(90) 994(99) 1024(102) 1054(05) 1089(98)
Camels - - 6(1) 6(1) 6(1) 6(1) 6(1) 6(1)
Total Beef 1770(178) 1830(178) 1887(184) 1951(189) 2017(202) 2085(208) 2155(215) 2227(211)
Mutton
Sheep 222(62) 225(62) 228(64) 230(64) 233(65) 236(66) 239(67) 244(69)
Goats 407(114) 418(114) 429(125) 441(130) 453(127) 465(130) 478(134) 488(148)
Total Mutton 629(176) 643(176) 657(189) 671(194) 686(200) 701(196) 717(201) 732(217)
Poultry Meat 834 907 987 1074 1170 1276 1391 1518
Total Meat 3232(353) 3379(363) 3531(373) 3696(383) 3873(402) 4062(404) 4263(416) 4477(428)
EGGS
(Million No) 13114 13813 14556 15346 16188 17083 18037 19052
Note: - Figures in parentheses are of edible offal’s.

61
Table A-33: Fish Production
( 000 Tones )
Year Category Pakistan Balochistan
Khyber
Pakhtunkhwa(a)
Punjab (b) Sindh
2009
Inland 214.5 - 4.0 85.5 125.0
Marine 480.0 140.0 - - 340.0
Total 694.5 140.0 4.0 85.5 465.0
2010
Inland 219.2 - 5.0 86.2 128.0
Marine 485.0 143.0 - - 342.0
Total 704.2 143.0 5.0 86.2 470.0
2011
Inland 225.4 - 6.0 88.4 131.0
Marine 487.0 144.0 - - 343.0
Total 712.4 144.0 6.0 88.4 474.0
2012
Inland 235.0 - 9.0 90.0 136.0
Marine 490.0 145.0 - - 345.0
Total 725.0 145.0 9.0 90.0 481.0
2013
Inland 238.0 - 10.0 91.0 137.0
Marine 491.0 145.5 - - 345.0
Total 729.0 145.5 10.0 91.0 483.0
2014
Inland 242.0 - 11.0 93.0 138.0
Marine 493.0 147.0 - - 346.0
Total 735.0 147.0 11.0 93.0 484.0
2015
Inland 249.0 - 13.0 95.0 141.0
Marine 498.0 149.0 - - 349.0
Total 747.0 149.0 13.0 95.0 490.0
2016
Inland 277.0 - 18.0 110.0 149.0
Marine 511.0 156.0 - - 355.0
Total 788.0 156.0 18.0 110.0 504.0
2017
Inland 282.0 - 21.0 111.0 150.0
Marine 515.0 157.0 - - 358.0
Total 797.0 157.0 21.0 111.0 508.0
2018
Inland 287.0 - 23.0 112.0 152.0
Marine 520.0 160.0 - - 360.0
Total 807.0 160.0 23.0 112.0 512.0
2019
Inland 235.3 - 3.3 95.6 136.4
Marine 384.3 152.2 - - 232.1
Total 619.6 152.2 3.3 95.6 368.5
Source: - Directorate of Marine Fisheries Karachi
Note: - (a) & (b) Included Dams

62
Table A-34: Total Catch of Fish and their Indices
Year
Total Catch of Fish
( 000 Metric Tons )
Index (Base: 2004 = 100)
Total Inland Marine Total Inland Marine
2009 531.5 192.8 338.8 96.3 116.5 87.6
2010 533.4 195.5 337.9 96.6 118.1 87.4
2011 533.3 198.6 334.8 96.6 120.0 86.6
2012 550.9 201.9 349.1 99.8 122.0 90.3
2013 556.5 204.8 351.7 100.8 123.7 91.0
2014 563.2 207.6 355.6 102.0 125.4 91.98
2015 568.1 208.6 359.5 102.9 126.0 92.99
2016 573.8 212.3 361.5 103.9 128.3 93.51
2017 618.7 234.9 383.8 112.1 141.9 99.28
2018 619.0 235.0 384.0 112.1 142.0 99.33
2019 619.6 235.3 384.3 112.2 142.2 99.41
Source:- Directorate of Marine Fisheries, Karachi
Table A-35: Fishermen Engaged in Marine and Inland Fisheries
Number
Year
Marine
Inland Grand total
Karachi and
Sindh coasts
Balochistan
coast
Total
2009 106,552 46,335 152,887 173,593 326,480
2010 116,133 48,779 164,912 186,271 351,183
2011 118,437 52,812 171,249 190,261 361,510
2012 120,180 56,887 177,067 192,717 369,784
2013 123,531 56,912 180,443 198,537 378,980
2014 123,856 57,200 181,056 199,326 380,382
2015 124,469 57,411 181,880 202,720 384,600
2016 126,010 57,694 183,704 207,866 391,570
2017 137,171 58,895 196,066 208,102 404,168
2018 139,286 60,322 199,608 209,212 408,820
2019 140,599 61,104 201,703 210,445 412,148
Source: Marine Fisheries Department, Karachi

63
Table A-36: Number of Fishing Crafts in Pakistan
(Number)
Punjab Sindh KP Balochistan Pakistan
2013-14 (E)
Inland
Soil boats 6612 2936 - - 9548
Row boats 524 1784 238 - 2546
Mech.cum-Sail 602 - 98 - 700
Marine
Soil boats - 6580 - 62 6642
Trawler - 3058 - - 3058
Gilnetter - 1796 - 1.726 3522
Mech.cum-Sail Boat - 4689 - 4.752 9441
2014-15
Inland
Soil boats 6633 2970 - - 9603
Row boats 536 1796 245 - 2577
Mech.cum-Sail 612 - 102 - 714
Marine
Soil boats - 6589 - 65 6654
Trawler - 3102 - - 3102
Gilnetter - 1801 - 1745 3546
Mech.cum-Sail Boat - 6695 - 4782 9477
2015-16
Inland
Soil boats 6695 2999 - - 9694
Row boats 556 1804 256 - 2616
Mech.cum-Sail 644 - 113 - 757
Marine
Soil boats - 6596 - 69 6665
Trawler - 3126 - - 3126
Gilnetter - 1812 - 1756 3568
2016-17
Inland
Soil boats 6702 3010 - - 9712
Row boats 559 1815 261 - 2635
Mech.cum-Sail 649 - 119 - 768
Marine
Soil boats - 6599 - 78 6677
Trawler - 3130 - - 3130
Gilnetter - 1822 - 1786 3608
Mech.cum-Sail Boat - 4716 4812 9528
2017-18
Inland
Soil boats 6714 3020 - - 9734
Row boats 562 1824 267 - 2653
Mech.cum-Sail 653 - 125 - 778
Marine
Soil boats - 6605 - 82 6687
Trawler - 3142 - - 3142
Gilnetter - 1828 - 1789 3617
Source:- Mariene Fishereis Department Karachi E=Estimated

64
Table A-37: Forest Products of Pakistan
Year
Quantity (000 cub. Meters) Value (Million Rupees)
Timber Firewood Total Timber Firewood Total
2008-09
63.92 244.73 308.65 837.11 417.91 1255.02
2009-10
74.20 287.66 361.86 1045.97 170.30 1216.27
2010-11
61.97 423.40 485.37 918.37 186.31 1104.68
2011-12
63.31 252.55 315.86 943.96 25.94 969.90
2012-13
73.74 207.52 281.26 894.88 174.60 1069.48
2013-14
70.81 244.72 315.53 1631.78 377.73 2009.51
2014-15
24.27 99.48 123.75 642.73 285.89 928.62
2015-16
53.25 336.89 390.14 2041.06 422.02 2463.08
2016-17
36.78 293.53 330.31 559.28 347.35 906.63
2017-18
34.63 221.05 255.68 1068.48 582.15 1650.63
Source:- Chief Conservator of Forests, Punjab, Sindh and Khyber Pakhtunkhwa
Table A-38: Uses of Forest Resources (Estimated Wood Consumption in Various End-uses)
(000 Cub. Meters)
Year Total
Pulp and Paper
Industries (a )
Construction
(b)
Furniture
(b)
Fuel wood
(b)
Others
(b)
2006 31,762 347 1,657 676 26,459 2,623
2007 34,980 360 1,721 702 29,520 2,677
2008 66,826 898 1,574 804 62,521 1,029
2009 68,280 925 1,625 845 63,822 1,063
2010 69,739 953 1,677 887 65,124 1,098
2011 71,196 980 1,729 929 66,425 1,133
2012 72,652 1,008 1,781 970 67,726 1,167
2013 74,112 1,036 1,834 1,012 69,028 1,202
2014 75,736 1,068 1,894 1,064 70,465 1,245
2015 77,362 1,100 1,955 1,116 71,902 1,289
Source: - Pakistan Forest Institute, Peshawar.
Note: - (a) The local paper-industry is based on non-woody raw materials, whereas it uses
Imported wood pulp. The figures are the round wood equivalent of the wood pulp imports.
(b) Estimated wood consumption in various uses.

65
Table A-39: Production of Manufacturing Items
Year 
Production  2011-12 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
(i) Vegetable Products (a)
No. of Reporting Factories 87 87 87 87 87 87 75 75
Production (000 Tones) 1103 1139 1185 1185 1241 1280 1417 1386
(ii) Sugar (b)
(iii) Tea Blended (c)
(iv) Beverages (c)
Production (Million Liters) 1813 2079 2552 2956 3137 3565 3605 3439
v) Cigarettes (d)
Production (Million No.) 61954 67377 64482 62667 53522 34341 59058 60729
(vi) Cotton Textiles (Mills Sector)
No. of Reporting Mills 433 447 411 411 408 408 408 408
Production of Cotton Cloth
(Million sq. meter) 1024 1029 1036 1037 1039 1043 1044 1046
(vii) Jute Textiles
No. of Reporting Mills 10 10 10 10 10 10 10 10
Total Production (000 Tones) 94 103 102 94 60 74 64 67
(viii) Paper and Board
No. of Factories of Papers 54 57 57 57 57 57 57 57
Production Paper (000 Tones) 246 232 219 204 233 264 274 261
Production Board (000 Tones) 283 382 466 416 377 405 457 452
(ix) Chemicals
Soda Ash (a) (Metric Tones) 370743 366238 409148 437106 468507 479718 509753 572066
Caustic Soda (a) (Metric Tones) 179097 182869 167465 183952 225250 223855 270126 246613
Sulphuric Acid (b)(Metric Tones) 100403 89431 85348 70229 75139 55979 48065 49362
Chlorine Gas (b) (Metric Tones) 15770 15495 14960 17355 16397 16316 17156 17528
(x) Chemicals Fertilizers (a)
Urea (000 Tones) 4470 4215 4930 5073 5847 5913 5405 5958
Super phosphate (000 Tones) 115 79 88 64 89 82 65 78
Ammonium Sulphate - - - - - - - -
Ammonium Nitrate(000 Tones) 432 401 519 569 647 665 519 449
Nitro Phosphate(000 Tones) 338 292 447 502 595 630 471 444
Dai Ammonium phosphate(000
Tones) 623 730 693 755 788 802 758 785
(xi) Paints & Varnishes (By weight)
Contd…

66
Year 
Production 
2011-12 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
(xii) Paints & Varnishes (By Volume)
No. of Reporting Factories 20 20 20 20 20 20 20 20-
Production (Million Liters ) 38 41 43 54 57 49 43 43
(xiii) Cycle Tyres (a)
Production (000 Nos.) 3431 3429 4038 4633 4205 3930 3942 4584
(xiv) Cycle Tubes (a)
Production (000 Nos.) 6846 7746 8061 8391 7285 7577 8263 9907
(xv) Motor Tires (a)
Production (000 Nos.) 7011 7864 8802 9058 9735 9710 10421 10807
(xvi) Motor Tubes (a)
Production (000 Nos.) 20338 20269 20825 22001 24467 24635 24678 25514
(xvii) Cement (b)
Production (000 Tonnes) 29557 31055 31418 32185 35432 37022 41148 39922
(xviii) Steel Products (000 Tonnes)
Coke 193 203 32 276 57 0 0 0
Pig Iron 249 201 89 265 2 0 0 0
Billets 1616 1639 2128 2731 3183 4099 5186 3874
H.R Sheets/Strips/
Plates/Coils 180 137 57 127 0 0 0 0
C.R Sheets/Strips/ Plates/Coils
(000 numbers) 26 15 4 3 0 0 0 0
Galvanize Sheets
(000 numbers) 0 0 0 0 0 0 0 0
(xix) Sewing Machines (a)
Production (Nos.) 39603 32876 19834 19272 13465 18290 23481 35658
(xx) Electric Motors (a)
Production (Nos.) 9126 7539 9906 9013 7319 9206 41793 56819
(xxi) Transformers (a)
Production ( Nos.) 23683 26411 12175 24993 32758 36995 42460 31288
Contd..

67
Year 
Production 
2011-12 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
(xxii) Television
Production ( Nos.) 268801 462938 426600 428164 453205 438869 366838 380690
(xxiii) Electric Bulbs (a)
No. of Reporting Factories 6 6 6 - - - - -
Production (000 Nos.) 78981 79743 75106 64623 73915 72394 76440 64301
(xxiv) Electric Tubes (a)
No. of Reporting Factories 2 2 2 - - - - -
Production (000 Meters) 1,266 0 0 0 0 0 0 0
(xxv) Manufacture/Assembly of Automobiles(Nos.)
Cars (a) 154,255 120,332 116,281 152524 179944 186936 217774 209255
Jeeps (4x4) (a) 451 1,475 1,217 1109 773 3530 13364 7525
Light Commercial
Vehicles (a) 20,929 14,517 17,477 28189 35836 24265 29055 24453
Trucks (a) 2,597 1,923 2674 4039 5666 7712 9187 6035
Buses (a) 568 522 559 575 1070 1118 784 913
Motorcycles (a)
1,649,53
2
1,675,07
1
1,728,13
7 1777251 2071123 2500650 2825071 2459849
(xxvi) Tractors (a)
No. of Reporting Factories - - - - - - - -
Production (Nos.) 48,152 50,871 34,524 48883 34914 53975 71894 49902
(xxvii) Bicycles (b)
Production ( Nos.) 262096 232979 203669 210931 198966 200218 202168 173515
Source:- 1. Pakistan Economic Survey
2. Monthly Statistical Bulletin, PBS

68
Table A-40: Mineral Production in Pakistan
(Tones)
Year
Aragonite/
marble
Barytes Bauxite Iron Ore China clay
2008-09 1,144,818 62,997 13,618 320,214 17,169
2009-10 1,064,905 57,166 9,031 447,541 22,769
2010-11 1,132,900 31,836 9,033 329,100 16,055
2011-12 1,750,578 48,510 30,223 384,893 21,555
2012-13 2,360,114 118,471 25,288 412,108 22,917
2013-14 2,919,783 133,658 31,156 197,074 16,191
2014-15 2,815,601 118,773 24,689 328,915 18,951
2015-16 4,746,638 157,858 57,024 432,156 20,726
2016-17 4,906,233 91,711 75,375 501,664 28,710
2017-18 8,813,025 88,847 145,189 677,206 19,483
Year Chromite Ebry Fire clay Flourite
Fuller’s
Earth
2008-09 89,739 2,150 389,493 1,261 10,213
2009-10 257,148 - 329,055 290 11,219
2010-11 148,034 - 274,042 3,156 4,180
2011-12 179,203 - 408,187 6,859 6,906
2012-13 136,443 - 454,645 13,344 4,259
2013-14 85,585 - 4,652,451 7,500 6,397
2014-15 101,762 - 404,945 5,962 8,005
2015-16 69,333 - 550,977 9,494 13,601
2016-17 105,238 - 584,478 2,263 18,417
2017-18 97,420 - 841,680 2,777 9,188
Contd.

69
Table A-40: Mineral Production in Pakistan
(Tones)
Year Dolomite Gypsum Lime stone Magnesite Manganese
2008-09 249,918 800,084 33,186,359 2,639 1,254
2009-10 130,408 853,590 37,136,803 5,159 1,655
2010-11 240,111 885,368 32,020,996 4,908 785
2011-12 198,392 1,260,021 35,016,411 5,444 705
2012-13 335,819 1,249,967 38,932,472 6,705 290
2013-14 5,912,918 1,326,437 38,786,733 3,770 5,712
2014-15 - 1,417,007 40, 470,356 4,581 4,890
2015-16 - 1,871,716 46,123,367 35,228 70
2016-17 - 2,079,629 52,149,137 19,656 1,220
2017-18 - 2,475,893 70,818,725 23,596 153
Year Ochres Rock Salt Silica sand Soap stone Sulphur
2008-09 56,617 1,917,486 369,773 13,923 25,784
2009-10 55,352 1,943,527 411,262 53,991 26,641
2010-11 36,078 1,953,711 300,501 47,561 27,645
2011-12 42,107 2,135,760 269,545 55,515 25,560
2012-13 37,769 2,159,939 355,771 93,214 20,610
2013-14 32,634 2,223,047 297,988 89,022 35,672
2014-15 33,909 2,136,361 267,911 116,223 19,730
2015-16 68,352 3,552,948 387,044 125,985 14,869
2016-17 86,080 3,534,075 338,457 152,279 23,740
2017-18 75,939 3,653,746 376,168 141,504 22,040
Source:- Pakistan Statistical Year Book-2018

70
Table A-41: Crude Oil Production by Field
US Barrels
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Punjab
Rodho 61,141 49,541 39,145 30,867 27,157 20,136 16,826
Dharian - - - - - - 4,542
Guauri - 2,145 303,146 251,744 157,443 144,788 69,610
Halini 242,042 182,387 404,578 425,148 282,361 226,435 1,73,195
Halini Deep - - - 70,428 398,062 310,080 2,43,599
Khost 4,064 1,531 - - - - -
Balkassar 157,339 149,029 138,840 114,310 154,457 126,005 1,11,943
Bela 1,163 1,528 1,096 - 2,369 - -
Chakral - - - - - - -
Dhulian 55,927 55,841 54,036 56,132 50,447 45,199 40,923
Domial 31,917 15,295 - - - - -
Jhandial - - - - - 223,804 2,28,481
Joyamair 9,980 4,537 5,238 9,375 8,712 9,316 15,077
Khaur 2,043 1,965 1,958 2,324 6,590 2,442 17,947
Meyal 122,941 114,960 114,124 109,270 106,611 101,630 1,00,297
Minwal 23,784 32,258 15,163 415 28,697 32,376 34,494
Pariwali 231,443 221,405 178,770 141,492 129,090 112,326 99,423
Pindori 133,297 101,484 102,177 88,882 73,854 66,838 65,573
Turkwal 16,033 11,057 9,754 9,071 8,961 8,936 8,252
Baloch 47,124 150,108 41,777 44,585 41,696 - -
Bhal Syedan 604 3,446 26,758 5,079 2,781 4,353 4,970
Chak Naurang 121,910 114,700 84,749 143,559 124,098 123,406 1,22,804
Dakhni 424,281 393,888 276,379 260,585 255,295 228,457 1,77,000
Dhodak 39,775 24,940 14,948 16,023 12,176 11,177 10,710
Fimkassar 46,285 44,157 38,555 45,241 63,399 56,925 53,185
Kal 145,655 123,332 59,106 161,332 156,670 140,116 1,27,108
MissaKeswal 61,597 27,545 16,488 19,721 33,237 21,008 17,017
Rajian 559,721 598,426 628,310 579,741 945,094 706,878 6,31,378
Sadkal 22,585 17,186 17,630 14,902 17,339 18,395 15,059
Toot 133,251 130,952 121,025 112,939 99,655 90,740 83,486
Bhangali - - - 1,222 1,804 1,704 1,630
Dhurnal 47,306 45,520 34,914 138,834 84,884 64,903 34,401
Ratana 183,653 179,423 167,110 219,125 93,714 79,052 48,073
Adhi 2,336,211 2,260,047 2,262,802 2,409,329 2,710,864 2,820,612 3,332,261
Punjab Total 5,263,072 5,058,633 5,158,576 5,481,675 6,077,518 5,798,037 5,889,264
Sindh
Zamzama 713,370 508,424 305,181 203,233 183,939 112,855 63,887
Kadanwari 11,990 13,280 9,240 8,742 5,368 4,350 8,752
Lundali - 542 - - - - -
Bhit & Badhra 104,690 114,945 122,628 129,233 107,602 95,251 89,877
Haqeeq - - - - - 6,003 5,515
Mari 29,218 24,269 23,398 18,614 16,828 16,361 17,616
Kalabagh - - - - 7,268 68,795 37,395
Contd..

71
US Barrels
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Sujawal 8,035 23,859 27,362 23,486 18,663 9,061 4,161
Sujjal 3,724 40,043 48,326 47,096 45,784
Bobi 517,375 463,240 356,690 156,535 138,645 129,955 1,85,492
Bitrism - - - - - - 31,542
Chak-2 39,726 110,963 73,664 169,613 326,133 337,151 2,49,029
Chak-7A 134,215 50,050 16,462 12,170 15,330 15,620 13,728
Chak-63 - - 27,137 355,886 288,988 49,364 353
Chak-66 NE - - 39,915 2,225 12,912 - -
Chak-63 SE - - - 132,844 167,463 118,001 80,232
Chandio - - - - - 1,176 424
Chhutto - - - - - 3,460 82,120
Daru - - - - - 10,170 -
Dars - - - - 33,199 151,449 1,18,636
Dars West - - - - 45,288 201,348 1,99,639
Dars Deep - - - - 11,678 48,754 53,415
Gopang - - - - - - -
Hakeem Daho 62,461 212,415 113,587 139,757 1,47,393
Jakhro - 61,807 72,467 67,579 14,762 7,741 4,400
Jarwar - - 23,865 76,800 37,215 37,385 29,160
Kunnar 2,040,940 1,509,226 1,207,062 1,188,124 1,480,896 1,173,463 1,154,652
Kunnar West 12,315 47,574 48,279
Kunnar Pasakhi Deep - 162,897 377,241 329,231 380,280 443,556 5,00,450
Kunnar South - - - - - 46,103 65,750
Lashari Centre 233,335 173,405 245,195 205,950 182,675 156,745 1,23,035
Lala Jamali - - - - 14,679 101,601 1,96,478
Missan 56,184 53,455 51,695 41,410 40,975 35,975 33,200
Moolan - - - - - 20,521 16,498
Moolan North 21,166 24,285 28,830 19,785 - 1,720 -
Nim 18,570 15,225 7,373 5,570 5,735
Noorai Jagir 820 10,109 - 56,900 11,700 5,935 1,350
Nur/Bagla 18,656 43,666 30,013 18,545 11,124 7,932 16,991
Contd..

72
US Barrels
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Palli - - - - 150,474 52,355 36,444
Palli Deep - - 23,660 82,175 9,267 - 17,425
Pasakhi 1,313,920 1,271,420 1,196,375 1,247,560 1,143,735 916,705 9,00,920
Pasakhi North 260,916 284,440 164,875 147,940 174,790 128,640 2,31,070
Pasakhi North East 140,967 122,270 106,145 106,700 84,584 66,140 1,00,255
Pasakhi East - - - - 11,533 43,358 59,962
Pasakhi Deep West - - - - 1,934 - -
Qadirpur 300,925 292,425 242,935 208,561 160,718 146,483 1,13,502
Resham - - - - 2,280 108,267 18,260
Soghri - - - 27,925 37,200 35,952 30,584
Sono 485,881 411,860 293,815 217,460 220,375 255,830 2,37,290
Shah - - - - 14,596 45,417 47,849
Shekhan 142 - - - - - -
Tando Alam 298,116 235,730 226,475 228,960 192,465 196,400 1,39,565
Tando Allah Yar - - - - 73,487 183,077 77,150
Thora 263,636 218,295 200,335 133,405 108,000 102,420 96,910
Thora East - - - - - - -
Thora Deep - - - - 23,040 41,816 32,859
Umar - - - - 11,643 39,958 39,127
Latif - 6,291 17,003 23,806 17,803 9,533 13,534
Miano 14,494 10,341 9,221 17,016 15,231 9,382 8,772
Bilal - - - 546 - - -
Bilal North - - - - - - -
Kamal North 306,273 105,457 165,704 137,050 90,895 73,331 57,731
Korai - - 141,647 135,475 19,831 18,885 1,126
Kumbh - - - 8,909 4,979 51,017 34,000
Naimat Basal 813 4,293 7,376 712 183 - -
Naimat Basal 2X 37,433 17,045 12,746 4,385 3,658
Naimat West 17,121 111,935 129,085 211,622 315,078 256,238 2,55,609
Contd..

73
US Barrels
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Nando - 9 76 - - - -
Rahim - - 251,042 113,266 102,106 61,136 6,14,288
Rahim North 237,606 269,241 13,671 1,693 - 1,155 1,003
Rahim 2X - - 18,528 85,450 49,885 81,568 24,024
Umer 278 - 52,923 61,920 2,652 8,115 917
Mehar - 452,152 837,662 385,492 291,125 178,500 1,23,839
Rehmat - - - - - - -
Saqib 14,604 7,376 4,226 - - - -
Sofiya - - - - - 213,914 1,54,390
Adam 31,572 54,661 58,241 20,635 19,728 18,968 28,049
Adam West - - - 9,634 9,258 12,770 10,606
Kabir - - - - - 16,442 45,400
Kandhkot 6,420 5,461 5,738 4,551 3,251 5,484 4,763
Kinza - - 392 620 - - -
Mazarani 8,256 5,587 5,285 3,748 4,126 4,341 3,582
Shahdad - - - 25,385 28,828 36,032 64,090
Sharf - - - - 176,646 208,155 2,38,676
Akri North 57,241 33,567 25,862 10,252 6,384 13,011 15,021
Ali 9,861 5,354 3,944 2,912 977 4,162 35
Ali Zaur 129 - - - - - -
Aassu - 349,168 1,837,627 672,978 168,314 86,295 49,726
Babarki - - - - - 4,531 -
Bachal - 107,260 16,909 1,226 - - -
Bago - - - - - 537 -
Bakhsh Deep - 18,197 30,532 16,860 174 - -
Bari - - - - - 395,472 7,19,012
Bhanoki - - - - 6,642 - -
Baqar Deep 658 - - - - -
Bhatti/Nakurji 3,855 186 165 - 72 - -
Bijoro 70,830 138,346 61,800 17,207 9,738 12,572 46,750
Bukhari - - - - - - -
Bukhari Deep 3,319 878 175 15,283 17,569 38,627 24,488
Buzdar - - - - - - 3,733
Buzdar South - 6,141 2,992 - - 2,970 -
Buzdar South Deep 231,891 191,073 186,796 124,566 84,325 59,850 34,896
Chaman 11,860 42 -
Contd..

74
US Barrels
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Dhabi, Dhabi N.&S. 31,188 108,284 60,610 48,249 34,115 243,196 1,18,802
Dang - - - - 7,748 -
Dhani - - 24,144 755 - - -
Duphri 5,923 325 4,643 118 - - -
Gagani - 1,687 - - - - -
Gharo 85,089 39,479 55,014 28,876 20,579 11,120 9,894
Ghungro 57,679 45,984 39,107 30,902 11,090 16,420 12,082
Golarchi 76 57 3 - 101 - -
Gormani - - - - - - 1,406
Guni - - - - - - 572
Gulsher - - - - - - 25,2,779
Harkro - - - - - 29,779 19
Halipota 34,849 58,585 47,706 50,680 69,959 133,895 91,733
Hayat - - - - - - 65,053
Jan - - 924 19,611 27,615 20,539 19,751
Jabo 269,557 142,917 71,732 51,268 45,815 27,510 22,328
Jagir 58,391 45,434 21,552 11,908 6,816 11,814 5,916
Jalal 14,902 703 - - - - -
Jarar Deep - 127,671 73,068 1,097 50 24 -
Jogwani 8,623 5,016 4,998 3,147 - - -
Jhaberi, Jhaberi South - 28,343 17,316 220 - 59 -
Junathi South - - - - - - -
Kakejani - - - - - - -
Kato - - 734 2,794 60 -
Keyhole-G - - - - - - -
Khaskheli 54,722 69,041 72,214 61,720 52,874 45,590 42,563
Khaskheli Downthrown 24,415 18,234 8,557 7,234 5,915 7,154 7,889
Khaskheli North 7,764 13 - - - - -
Khorewah& K. Deep 39,814 30,182 34,257 25,870 14,455 17,264 17,003 -
Koli 6,611 76,468 25,646 2,441 - - -
Laghari 34,707 35,521 30,459 3,633 1,313 1,659 2,615
Liari - - - - - - -
Liari Deep 13,298 64 294 100 - - -
Limu - - 673 17,210 - - -
Limu North - - - 9,717 2,180 - -
Lodano 5,265 1,93,364 41,575 48,751 20,641 6,008 3,937
Lodano Deep - 2,23,301 130,756 51,979 32,553 16,820 11,326
Mahi - - - 12 182 -
Makhdumpur 553 14,898 17,304 16,371 15,288 1,048 1,288
Makrani - - - - 13,036 - -
Malah 14,389 7,918 238 - - - -
Contd..

75
US Barrels
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Mansoora Deep - - 77 - - - -
Matli 3,700 5,113 - - - -
Mazari 54,774 59,158 109,566 84,628 73,767 493,369 3,83,034
Mazari South 153,570 1,43,669 116,559 98,733 106,026 104,723 96,132
Mazari South Deep 214,379 2,20,791 184,535 188,132 145,244 156,363 1,54,738
Mewa 192 132 - - - - -
Mohano 26,660 26,386 25,442 15,702 13,273 11,305 907
Mohib - - - - 79,608 5,644 -
Mohri - - - - - 41,047 31
Moroja - - - - - - 4,850
M.Ismail& M. Ismail
Deep 42,663 13,985 13,226 13,433 11,761 12,348 12,186
Missri 57,422 33,754 20,154 17,891 9,678 6,568 339
Muban 48,603 97,143 93,908 56,183 42,221 55,083 49,463
Mulaki 744 - - - - - -
Murid - 79,254 431,187 142,415 59,089 30,849 25,952
Oderolal - - - - - 135,655 -
Piaro Deep 16,610 4,779 4,107 6,858 2,703 1,525 2,036
Piaro Deep Basal 5,479 900 - -
Paniro 85,187 79,426 35,640 16,980 16,108 16,434 11,518
Pir Apan 67,135 - - - - - -
Qabul 2,812 2,062 10 - - -
Raj - - - - - - -
Rajani - - - 255 55,260 178,682 1,99,172
Rajo 5,744 - - - - - -
Ramdiani - - - - - - 4,657
Rawal - - - - - - 3,769
Rawat - - - - 37,069 9,254 6,487
Rawat North - - - - - 8,742 10,221
Rind 12,603 149 - - - - -
Roshnai - - - - - 20,057 51,529
Sahu - - - 397 64 45 51
Sajan - - - 5,783 663 2,738 6,541
Sakhi, & S Deep 28,918 52,103 45,199 22,917 124 5,573 20,837
Saman - - 5,786 737 79 - -
Salamat - - 259 72 8,303 37,714 52,846
Saleh - - 310,380 308,533 10,314 189,889 99,890
Shah Dino - - - - - - -
Shekhano 95,954 53,311 53,987 29,751 24,851 40,062 33,983
Shekhano Deep 103,794 96,901 32,129 4,004 - - -
Shorab Deep - 7,005 136,698 77,525 45,842 12,489 14,645
Contd..

76
US Barrels
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Sutiari Deep - 12,449 35,266 66,838 86,418 77,901 97,545
Sumar Deep - 181,912 233,564 161,562 33,626 15,210 8,340
Suhrat - - 1,023 288 - - -
Sukhi - - - - - 2,114 88
Sukhi South - - - - - - 1,98,368
Sonro 1,247,739 819,102 595,630 231,227 108,427 73,635 71,244
Tajedi 45,024 43,943 21,376 26,585 18,736 7,513 -
Tangri 46,159 43,283 27,711 21,662 11,530 19,005 14,381
Tangri Deep 11,572 9,588 4,064 4,109 3,187 3,708 3,950
Tando Ghulam Ali 10,323 10,826 6,523 4,283 650 627 140
Tharo - - 2,518 13,241 3,563 60 -
Tharo West - - - - - 12,318 -
Thebo - 66,565 71,282 31,660 18,843 12,115 10,528
Turk&Turk deep 33,157 48,367 48,537 32,712 23,761 33,686 34,927
Warar - - - - - - 7
Wasayo - - - 18 - - -
Zaur 115,091 88,390 65,079 86,384 79,694 53,567 74,517
Zaur Deep 3,589 282 - - - - -
Sindh Total 11,311,377 11,641,150 13,013,672 10,280,724 9,142,239 10,385,592 10,833,662
Balochistan
Sui 14,599 17,490 19,608 20,157 19,912 13,342 12,878
Uch 5,555 10,493 14,709 14,625 12,825 13,855 11,049
Zarghun South - - 4,468 3,368 2,606 2,195 1,915
Balochistan Total 20,154 27,983 38,785 38,150 35,343 29,392 25,842
Khyber Pakhtunkhwa
Chanda 1,199,736 965,494 662,565 562,475 445,530 595,618 7,97,945
Mela 1,333,192 1,281,383 744,680 919,822 615,405 449,342 5,49,708
Nashpa 4,843,059 6,297,992 7,567,170 6,983,074 8,010,646 7,068,581 6,596,471
Makori 144,132 52,893 25,410 11,492 18,620 14,780 12,912
Makori Deep - - - - - 789,957 5,15,258
Makori East 1,560,855 3,703,935 5,228,930 5,242,618 5,245,874 4,269,266 3,831,808
Mamikel 555,827 816,820 422,413 228,736 219,262 230,417 1,87,746
Manzalai 917,454 432,906 301,320 215,739 163,991 142,780 1,18,876
Maramzai 682,117 1,305,536 1,326,533 1,687,678 1,561,772 1,656,101 1,696,951
Mardankhel - - - - 733,217 1,113,869 1,425,437
Tolanj - - - - - 9,564 6,820
Tolanj West - - - - - 3,756 7,328
KP Total 11,246,372 14,856,959 16,279,020 15,851,634 17,014,317 16,344,032 15,747,260
Grand Total 27,840,975 31,584,725 34,490,053 31,652,183 32,269,416 32,557,052 32496,028
TOE 3,735,038 4,237,285 4,627,053 4,246,335 4,329,141 4,367,729 43,595,42
Barrels Per Day 76,277 86,533 94,493 86,481 88,409 89,197 89,030
Source:- Hydrocarbon Development Institute of Pakistan (Energy Year Book)

77
Table A-42: Petroleum Energy Products Consumption by Sector
(Tones)
(TOE)
Sector/Year 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Domestic 97,847 100,679 89,017 74,357 77,169 66,075 60,557
100,937 103,859 91,829 76,706 79,607 68,162 62,470
Industrial * 1,379,096 1,297,035 1,300,190 2,023,377 1,990,398 1,784,781 1,299,437
1,384,433 1,305,675 1,309,459 2,013,945 1,992,437 1,785,880 1,307,193
Agriculture ** 31,828 46,655 37,235 14,512 12,671 14,527 15,021
33,158 48,605 38,791 15,119 13,201 15,134 15,649
Transport 9,817,546 10,299,718 11,372,924 13,022,573 14,582,925 16,047,392 14,673,564
10,367,969 10,883,469 12,028,165 13,779,086 15,434,433 16,988,579 15,549,796
Power 7,749,007 9,006,085 8,995,231 7,765,629 8,531,825 6,377,388 2,759,465
7,561,343 8,791,738 8,800,431 7,583,155 8,328,980 6,223,984 2,688,911
Other Government
317,805 358,512 365,471 386,232 366,958 387,801 409,132
333,444 376,403 - 405,220 385,300 407,198 429,790
Total: 19,393,129 21,108,684 22,160,068 23,286,680 25,561,946 24,677,964 19,217,176
19,781,283 21,509,748 22,268,676 23,873,230 26,233,957 25,488,939 20,053,809
Annual Growth
Rate 3.83% 8.85% 4.98% 5.08% 9.77% -3.46% -22.13%
Source: - Hydrocarbon Development Institute of Pakistan (Energy Year Book)
Note: - * Include consumption in cement manufacturing industry.
** HSD consumption for tractors in agriculture sector is not separately available and is included in the
transport sector. Agriculture sector represents LDO only.

78
Table A-43: Petroleum Energy Products Consumption by Province
(TOE)
Province
Year
2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 201819
Balochistan 2,145,291 1,986,648 1,959,569 2,109,761 1,983,878 1,579,515 397,351
Khyber
Pakhtunkhwa 1,165,213 1,112,208 1,070,840 1,310,307 1,481,364 1,651,608 1,554,369
Punjab 11,979,554 13,272,086 14,002,943 14,858,810 15,946,286 15,257,440 12,166,560
Sindh 4,155,522 4,801,705 5,250,428 5,203,784 6,407,575 6,579,200 5,509,257
A.J. Kashmir 193,615 193,478 211,906 219,869 224,110 223,464 225,495
Gilgit Baltistan 56,290 57,582 68,782 81,377 92,694 109,849 116,728
FATA 85,799 86,041 87,431 89,323 98,050 87,864 84,049
Total: 19,781,283 21,509,748 22,651,899 23,873,230 26,233,957 25,488,939 20,053,809
Annual Growth Rate 3.96% 8.74% 5.31% 5.39% 9.89% -2.84% -21.32%
Table A-44: Consumption of Petroleum (Energy) Products by Fuel
Unit : Tones
(TOE)
Product 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Aviation Fuels 620,059 648,802 574,175 621,266 639,545 632,293 555,437
642,660 672,453 595,425 643,916 662,728 655,576 577,090
Motor Spirit 87RON 3,340,537 3,865,113 4,732,381 5,759,763 6,646,965 7,386,362 7,599,364
3,569,030 4,129,487 5,056,076 6,153,731 7,101,617 7,891,589 8,119,160
HOBC 12,597 12,871 21,914 40,587 90,595 124,918 86,621
13,393 13,684 23,299 43,152 96,321 132,813 92,095
HSD 6,820,149 6,888,980 7,411,475 7,745,864 8,484,280 9,038,298 7,354,409
7,170,023 7,242,385 7,791,684 8,143,227 8,919,524 9,501,963 7,731,690
E-10
9,141 2,644 0 0 0 0 0
9,402 2,720 0 0 0 0 0
LDO 35,742 49,767 43,096 24,106 19,490 20,986 25,179
37,236 51,847 44,897 25,114 20,305 21,863 26,231
Furnace Oil 8,388,598 9,464,150 9,202,472 8,953,515 9,560,113 7,360,721 3,493,336
8,167,978 9,215,243 8,960,447 8,718,038 9,308,682 7,167,134 3,401,461
Kerosene 166,306 176,357 174,555 141,579 120,958 114,386 102,830
171,561 181,930 180,071 146,053 124,780 118,001 106,079
Total 19,393,129 21,108,684 22,160,068 23,286,680 25,561,946 24,677,964 19,217,176
19,781,283 21,509,748 22,651,899 23,873,230 26,233,957 25,488,939 20,053,809
Annual Growth Rate 3.83% 8.85% 4.98% 5.08% 9.77% -3.46% -22.13%

79
Table A-45: Consumption of Indigenous Coal by Sector
(Tones)
Sector
Power
(WAPDA)
Brick-Kiln
Industry*
Domestic
Cement/ Other
Industry**
Pak Steel*** Total
2004-05 179,887 3,906,738 - 2,535,168 1,272,000 7,893,793
2005-06 149,334 4,221,825 - 2,778,379 564,450 7,713,988
2006-07 164,397 3,277,472 994 4,140,986 310,209 7,894,058
2007-08 162,200 3,760,707 1,000 5,720,972 465,968 10,110,847
2008-09 112,520 3,274,789 813 3,801,751 1,200,000 8,389,873
2009-10 125,482 3,005,192 - 4,577,007 430,822 8,138,503
2010-11 96,488 3,003,603 - 4,187,935 429,123 7,717,149
2011-12 104,604 3,108,199 - 4,181,897 275,000 7,669,700
2012-13 63,039 2,696,022 - 3,865,942 263,998 6,889,001
2013-14 160,710 2,727,587 - 3,559,178 109,977 6,557,452
2014-15 151,180 3,010,381 - 5,168,806 385,000 8,715,367
2015-16 204,432 3,337,102 - 5,485,260 0 9,026,794
2016-17 859,600 2,855,326 - 7,470,844 0 11,185,770
2017-18 4,436,125 3,941,689 - 9,603,276 0 17,981,090
2018-19 5,901,536 5,391,194 - 10,234,338 0 21,527,068
Note: - * Estimated by deducting other uses of indigenous coal from the total production.
** Include indigenous as well as imported coal.
*** Imported coal/cock used as cock in Pak Steel.

80
Table A-46: Associated Gas Production by Field
(Million cubic feet)
Field/Province 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Chanda (KP) 2,604 2,048 1,361 1,092 964 1,174 2,158
Bhalsyedian (Punjab) - - 7 27 24
Filmkassar (Punjab) 48 44 39 40 43 38 38
Jakhro (Sindh) - 1,285 1,644 1,563 464 559 465
Kal (Punjab) 28 26 9 25 20 17 11
Kunar (Sindh) 3,077 4,292 6,352 5,104 4,331 3,223 3,014
Lala Jamali (Sindh) - - - 89 1,098 2,539 2,902
Missa Keswal (Punjab) 139 80 53 42 55 44 42
Pasakhi (Sindh) 243 243 243 243 243 243 243
Rajian (Punjab) 254 265 261 245 414 357 280
Toot (Punjab) 371 292 295 331 372 372 378
Bhangali (Punjab) - - - 8 10 4 4
Dhurnal (Punjab) 214 168 148 401 286 222 191
Balkassar (Punjab) 22 21 23 21 26 13 12
Dhulian (Punjab) 849 858 841 843 782 682 641
Khaur (Punjab) - - - - - - 59
Meyal (Punjab) 966 1,047 966 927 777 737 719
Pariwali (Punjab) 2,709 2,786 2,206 2,003 1,556 1,299 1,264
Pindori (Punjab) 356 278 291 272 235 224 221
Turkwal (Punjab) 18 18 18 18 18 18 18
Aassu (Sindh) - 36 202 128 50 42 30
Akri North (Sindh) 18 16 7 2 2 2 3
Ali Zaur (Sindh) 10 - - - - -
Bachal (Sindh) - 231 59 6 - - -
Bari (Sindh) - - - - - 236 421
Bijoro (Sindh) 23 22 15 8 12 13 21
Dabhi, Dabhi N (Sindh) 17 206 16 21 11 9 9
Dabhi S (Sindh) 115 367 175 122 65 221 54
Duphuri (Sindh) 561 455 500 92 2 -
Gulsher (Sindh) - - - - - - 32
Halipota (Sindh) 228 375 169 128 111 302 221
Contd.

81
Table A-46: Associated Gas Production by Field
Field/Province 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Jagir (Sindh) 23 16 14 8 6 2 3
Jan - - - 3 3 4 3
Jhaberi South (Sindh) 136 24 14 1 -
Khaskeli &Downthrown (Sindh) 58 110 83 87 94 186 214
Laghari (Sindh) 49 57 43 4 1 4 6
Liari (Sindh) 6 - - - - - -
Mazari (Sindh) 172 115 69 61 58 872 337
Mazari S & S Deep (Sindh) 1,833 2,822 498 374 298 200 178
Meyun Ismail Deep 1,329 449 246 354 316 188 132
Nari (Sindh) - - - - - -
Murid (Sindh) - 27 145 52 23 17 16
Qabul (Sindh) 3 1 - - - - -
Rajo (Sindh) 2 0 - - - -
Sakhi (Sindh) - - - - 2 46 78
Sakhi Deep & S Deep(Sindh) 744 578 449 358 310 211 219
Saleh (Sindh) - - 354 935 39 227 227
Sukhi (Sindh) - - - - 209 100
Rawat (Sindh) - - - - 58 17 27
Rawat North (Sindh) 25
Shekhano Deep (Sindh) 16 58 13 5 -
Tangri (Sindh) 47 40 24 28 25 24 19
Zaur (Sindh) 540 303 174 142 95 97 106
Zaur Deep (Sindh) 374 88 50 18 38 47 47
Others (Sindh)** 96 93 85 56 44 56 92
Total: Million CFt 18,296 20,239 18,154 16,259 13,365 15,030 15,341
TOE 490,732 532,382 532,383 532,384 363,863 387,055 439,225
Note: - ** Includes Ghungro, Gharo, Mohano, Muban & Tajedi.

82
Table A-47: Non-Associated Gas Production by Field
(TOE)
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Zamzama (Sindh) 147,726 104,570 64,657 45,164 39,039 24,203 14,216
2,821,567 1,997,287 1,234,956 862,631 741,750 462,287 272,953
Kadanwari (Sindh)
44,939 52,472 38,838 23,775 15,344 12,684 22,856
948,213 1,107,159 819,481 501,652 323,755 266,364 482,260
Bhit & Badhra
(Sindh)
137,259 124,958 119,522 111,222 82,390 72,448 60,374
2,758,906 2,511,656 2,402,392 2,235,554 1,656,030 1,434,466 1,213,511
Lundali (Sindh)
- 1,182 45 - - - -
- 21,863 833 - - - -
Haseeb (Sindh)
3,765 4,063 1,298 - - - -
71,150 76,786 24,527 - - - -
Aqeeq (Sindh)
- - - - - 957 903
- - - - - 23,629 22,293
Halini (Punjab)
- 100 331 299 251 230 157
- 2,336 7,739 6,988 5,881 5,375 3,679
Halini Deep
(Punjab)
- - - 65 541 543 438
- - - 1,517 12,668 12,701 10,260
Kalabagh (Punjab)
- - - 98 1,920 1,411
- - - - 2,283 44,935 33,023
Mari (Sindh) 209,302 212,259 216,685 221,386 231,143 243,403 245,668
3,662,791 3,714,530 3,791,986 3,874,253 4,045,005 4,259,559 4,299,184
Koonj (Sindh)
747 628 518 396 336 268 187
15,465 13,063 10,769 8,235 6,993 5,564 3,893
Sujawal (Sindh)
1,306 3,462 3,747 2,895 2,736 1,528 635
31,734 84,119 91,056 70,351 66,474 37,134 15,420
Sujjal (Sindh)
- - 391 4,149 6,054 5,726 5,205
- - 9,663 102,470 149,533 141,438 128,572
Zarghun South
(Balochistan)
- - 3,423 4,279 4,547 6,020 5,403
- - 71,194 89,012 94,584 125,206 118,861
Makori (KP)
3,036 1,206 735 322 288 298 177
78,938 31,359 19,110 8,585 7,643 7,898 4,698
Makori Deep (KP)
- - - - - 2,259 1,992
- - - - - 60,544 53,379
Makori East (KP)
5,528 14,255 23,317 28,329 30,654 29,347 28,397
129,365 333,559 545,627 662,890 858,326 821,726 795,121
Mardankhel (KP)
- - - - 8,709 13,377 15,896
- - - - 229,927 353,155 419,661
Manzalai (KP)
61,493 36,480 25,816 17,038 13,149 10,710 8,206
1,512,726 897,411 635,080 425,941 319,516 260,256 199,403
Mamikhel (KP)
11,563 17,844 12,286 11,010 9,350 8,148 7,590
296,018 456,808 314,516 286,252 243,087 211,859 197,335
Maramzai (KP)
18,227 35,053 34,525 46,182 45,563 49,003 50,036
468,422 900,862 887,288 1,196,110 1,180,072 1,269,180 1,295,924
Tolanj (KP)
- - - - - 1,861 2,146
- - - - - 43,544 50,225
Tolanj West (KP)
- - - - - 2,307 3,426
- - - - - 53,990 80,161
Bahu (Punjab)
7,923 9,916 4,812 2,126 591 278 106
100,621 125,936 49,564 23,602 6,556 3,087 1,174
Contd..

83
(TOE)
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Baloch (Sindh)
191 619 234 471 495 -
5,233 16,947 6,409 12,908 13,568 - -
Bhullan Shah
(Sindh)
- - - - - - 223
- - - - - - 6,568
Bobi (Sindh)
5,832 5,895 5,066 2,117 1,970 2,043 2,113
181,369 183,329 157,555 59,698 55,548 57,617 65,713
Chak 2 (Sindh) 1,333 2,835 1,874 3,035 6,980 6,970 6,247
35,845 76,275 50,423 81,635 187,757 187,484 168,057
Chak 7A (Sindh) 794 418 288 205 220 156 106
22,310 11,758 8,089 5,758 6,194 4,387 2,990
Chak 63 (Sindh)
- - 353 1,749 2,257 487 7
- - 10,206 50,534 65,219 14,075 203
Chak 63 SE
(Sindh)
- - - 1,078 1,235 810 801
- - - 20,374 23,340 15,300 24,109
Chak 66NE
(Sindh)
- - 555 26 289 -
- - 16,978 490 5,551 - -
Chandio (Sindh)
- - - - - 164 77
- - - - - 3,568 2,157
Chhutto (Sindh)
- - - - - 117 2,817
- - - - - 2,943 73,811
Dakhni (Punjab) 16,978 17,076 11,833 9,180 8,802 8,083 6,852
431,243 433,730 298,204 233,179 223,561 205,311 174,029
Daru (Sindh)
- - - - - 497 -
- - - - - 13,856 -
Dachrapur (Sindh)
- 1,349 3,820 3,100 1,817 2,069 1,000
- 29,950 84,814 68,821 40,342 45,936 22,201
Dhodak (Punjab)
1,971 1,716 1,346 1,198 1,205 1,206 1,096
53,795 46,858 27,189 32,711 32,883 32,924 29,932
Dars (Sindh)
- - - - 429 2,534 1,795
- - - - 8,630 50,934 46,128
Dars West (Sindh)
- - - - 727 3,201 3,060
- - - - 14,615 64,343 76,206
Dars Deep
(Sindh)
- - - - 971 2,796 2,250
- - - - 19,808 57,032 58,725
Gopang (Sindh)
- 2 38 -
- 60 1,149 -
Hakeem Daho
(Sindh)
- - 1,234 4,472 1,483 2,526 3,200
- - 30,979 112,259 37,218 63,410 80,318
Jand (Punjab)
474
10,866
Kunar South
(Sindh)
- - - - - 3,331 4,666
- - - - - 84,604 118,509
Loti (Balochistan) 8,729 8,187 7,752 8,709 9,972 9,379 9,150
174,578 163,741 155,818 175,055 199,442 187,583 183,008
Contd..

84
(TOE)
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Maru-Reti (Sindh)
- 1,781 4,208 4,923 3,740 3,638 4,051
- 41,670 98,471 115,205 70,308 68,389 76,151
Kunar West (Sindh)
- - - - 1,217 3,711 3,322
- - - - 29,946 91,302 81,732
Mela (KP)
6,561 4,038 3,772 4,706 2,877 2,377 3,054
183,058 112,662 105,232 131,287 80,266 66,311 85,218
Moolan (Sindh)
- - - - - 509 51
- - - - - 16,399 1,399
Nashpa (KP)
17,222 24,205 29,395 30,578 32,562 30,316 34,013
464,984 653,546 808,376 825,609 879,186 818,520 918,345
Nandpur/Panjpir
(Punjab)
6,665 4,181 3,179 3,887 3,425 3,045 2,728
35,989 15,471 17,167 14,381 18,493 16,442 14,734
Nim (Sindh)
- - 314 422 171 96 170
- - 9,237 12,396 5,033 2,814 5,007
Noorai Jagir
(Sindh)
172 357 - 1,369 645 217 108
4,939 10,255 - 36,974 17,402 5,848 3,095
Nur/Bagla (Sindh)
1,204 2,842 1,976 1,422 964 785 1,946
29,130 68,787 47,814 41,801 28,331 23,067 57,203
Pakhro (Sindh)
203 240 41 - - 21 -
4,828 5,721 953 - - 491 -
Pasakhi Deep/
Kunar (Sindh)
41,390 41,357 41,503 37,781 38,927 38,237 49,910
885,748 885,030 888,171 808,508 833,037 818,277 1,068,066
Pirkoh
(Balochistan)
5,780 5,426 5,299 4,367 3,486 2,568 1,574
117,919 110,700 110,210 138,885 110,853 53,421 32,729
Pasakhi East
(Sindh)
- - - - 947 3,320 2,970
- - - - 22,928 80,344 71,868
Pasakhi WD
(Sindh)
- - - - 228 -
- - - - 6,220 -
Qadirpur (Sindh) 185,907 180,792 155,453 134,180 122,798 110,259 99,083
3,941,225 3,832,786 3,295,599 2,844,611 2,603,313 2,337,489 2,100,566
Resham (Sindh)
- - - - - 573 111
- - - - - 15,642 3,213
Sadkal (Punjab) 680 519 622 502 597 643 533
19,442 14,844 17,220 14,348 17,086 18,394 14,761
Sari/Hundi (Sindh) 525 766 607 449 466 525 477
11,029 16,089 12,445 9,419 9,792 11,029 9,789
Shekhan (Sindh)
98 - - - - - -
2,299 - - - - - -
Soghri (Sindh)
- - 861 3,251 3,092 2,647 2,350
- - 21,607 81,600 77,611 66,429 58,978
Shah (Sindh)
- - - - 1,268 3,823 3,734
- - - - 38,792 116,990 114,268
Tando Allah Yar
(Sindh)
- - - - 957 4,657 3,170
- - - - 20,295 98,734 67,195
Contd..

85
(TOE)
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Thal West (Sindh)
- - - - - - 48
- - - - - - 1,068
Thora Deep (Sindh)
- - - - 2,564 3,415 1,823
- - - - 62,810 83,656 44,654
Unar (Sindh)
- - - - 1,052 3,640 2,549
- - - - 25,993 89,917 62,960
Uch (Balochistan)
80,713 104,485 129,778 134,648 145,966 144,553 145,996
903,987 1170,226 1,310,761 1,508,056 1,634,823 1,618,991 1,474,561
Miano (Sindh)
25,087 23,121 25,606 35,811 28,261 17,526 15,644
559,440 547,968 611,972 780,680 624,567 387,328 372,320
Latif (Sindh
15,877 36,192 37,134 31,559 19,879 13,114 13,348
374,697 854,131 876,367 744,792 433,363 285,887 320,348
Tajjal (Sindh)
11,486 4,272 2,239 1,411 1,066 730 398
271,070 100,819 52,831 33,300 23,348 15,995 9,542
Sawan (Sindh)
63,986 49,395 37,660 30,633 23,748 19,605 15,507
1,394,895 1165,722 900,076 661,673 512,948 423,473 372,158
Ahmad (Sindh)
- - - 0 - - -
- - - 3 - - -
Ali (Sindh) 1,595 1,153 999 1,181 802 3,588 794
40,022 28,701 24,864 29,401 20,381 9 1,136 20,159
Rahim (Sindh)
- - 886 594 378 239 2,629
- - 29,768 19,947 12,697 8,015 63,098
Rahim 2X (Sindh)
- - 98 148 225 107 12
- - 2,292 3,467 4,752 2,261 246
Rajani (Sindh)
- - 4,666 50,421 68,752 61,760 52,039
- - 105,443 1,139,522 1,629,413 1 ,463,709 1,233,326
Ratana (Punjab)
4,689 3,263 2,585 4,643 2,089 1,962 1,309
119,095 84,507 64,890 116,541 54,320 51,791 34,559
Block-22 (Sindh)
3,027 2,422 2,617 3,390 3,800 3,532 2,489
46,307 37,049 53,135 68,817 77,139 71,703 50,523
Badar (Sindh)
4,821 4,712 4,225 4,497 6,316 6,556 6,279
66,047 64,552 57,878 61,611 86,533 89,817 86,021
Rehman (Sindh)
- 3,726 3,554 3,198 3,364 6,491 6,037
- 75,256 70,726 63,644 66,936 129,180 134,635
Rezq (Sindh)
- - - - 2,741 4,626 5,575
- - - - 60,030 102,242 123,218
Bela (Punjan) 83 134 63 53 - -
2,024 3,266 1,521 1,294 - -
Domial (Punjab)
395 216 - - - - -
9,242 5,049 - - - - -
Jhandial (Punjab)
- - - - - 2,085 2,445
- - - - - 55,875 64,548
Mehar (Sindh)
- 4,216 11,042 5,709 4,842 3,567 2,998
- 108,782 289,305 146,720 124,441 91,667 77,346
Mitha (Sindh) - - - - - - 2,136
- - - - - - 50,848
Contd..

86
(TOE)
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Saqib (Sindh)
3,369 2,298 1,439 - - - -
78,844 53,784 33,665 - - - -
Sofiya (Sindh)
- - - - - 2,889 2,976
- - - - - 75,415 76,772
Adhi (Punjab) 12,081 13,562 15,080 17,760 23,379 26,465 25,335
360,017 404,139 449,385 516,806 680,329 770,122 724,581
Adam (Sindh)
754 3,778 4,158 1,355 1,332 1,352 1,706
20,886 104,652 87,312 28,456 27,972 28,400 35,826
Adam West (Sindh)
- - - 5,060 5,207 5,223 4,880
- - - 118,902 122,365 122,729 114,680
Chachar (Sindh)
1,541 1,186 731 1,106 1,077 941 917
28,817 22,180 13,605 20,674 20,140 17,598 17,148
Kabir (Sindh)
- - - - - 215 545
- - - - - 6,096 15,478
Kandhkot (Sindh) 60,086 56,802 58,363 52,709 68,227 75,611 75,584
1,195,711 1,130,362 1,155,582 1,033,091 1,337,249 1,481,970 1,481,446
Kinza (Sindh)
- - 120 175 - - 10
- - 2,544 3,706 - - 212
Mazarani (Sindh)
2,474 2,088 1,737 1,512 1,542 1,641 1,435
59,623 50,311 41,863 36,434 37,162 39,542 34,584
Shahdad (Sindh)
- - - 2,141 2,661 3,473 5,524
- - - 53,106 65,993 86,122 136,995
Sui (Balochistan) 181,371 159,030 152,548 160,241 161,724 148,015 140,407
4,225,944 3,705,395 3,371,304 3,653,485 3,687,307 3,374,735 3,201,280
Sharf (Sindh)
- - - - 14,987 17,810 21,077
- - - - 232,299 297,423 326,694
Rodho (Punjab)
8,462 6,684 5,491 4,517 3,837 3,068 2,644
202,243 159,754 131,231 107,950 91,701 73,329 63,192
Amdani (Sindh)
- 3 - - - - -
- 49 - - - - -
Babarki (Sindh)
- - - - - 758 33
- - - - - 18,720 807
Bago (Sindh)
- - - - - 148 1
- - - - - 3,071 12
Bakhsh Deep (Sindh)
- 2,943 5,144 2,286 29 139 -
- 63,283 110,598 49,156 618 2,979 -
Baudero (Sindh)
- - - - - - 875
- - - - - - 20,029
Bhatti (Sindh)
338 322 284 184 87 143 61
8,893 8,458 7,417 4,815 2,277 3,723 1,586
Baqar Deep (Sindh)
235 - 0 - - - -
5,745 - 8 - - - -
Bhanoki (Sindh)
- - - 157 1,584 - -
- - - 3,496 41,032 - -
Bilal (Sindh)**
- - - 13 5 - -
- - - 276 120 - -
Contd..

87
(TOE)
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Bukari Deep (Sindh)
830 713 441 236 1,182 2,743 881
21,245 18,333 11,321 6,076 29,787 69,121 22,202
Bukari North (Sindh)
- - - - - - 960
- - - - - - 23,906
Buzdar South
(Sindh)
0 67 52 424 42
5 1,516 1,178 9,542 945
Buzdar South Deep
(Sindh)
4,245 5,776 3,835 1,902 850 998 329
95,516 135,730 90,131 44,694 22,024 25,856 8,516
Chaman (Sindh)
- - - - 1,639 453 95
- - - - 39,657 10,968 2,302
Dhani (Sindh)
- - 56 3 - - -
- - 1,393 82 - - -
Dang (Sindh)
- - - - 6 - -
- - - - 143 - -
Fateh Shah North
(Sindh)
192 230 249 32 98 - 7
4,832 5,790 6,272 817 2,517 - 179
Gagani (Sindh)
- 91 - - - - -
- 1,962 - - - - -
Golarchi (Sindh)
337 295 123 79 217 31 32
8,216 7,174 2,984 1,919 5,377 779 785
Gormani (Sindh)
- - - - - - 259
- - - - - - 5,079
Guni (Sindh)
- - - - - - 59
- - - - - - 1,545
Haider Deep (Sindh)
98 54 41 21 10 22 16
2,284 1,268 971 493 229 510 382
Hakro (Sindh)
- - - - - 633 8
- - - - - 16,702 214
Hayat(Sindh)
- - - - - - 1,577
- - - - - - 43,359
Khaskeli North
(Sindh)
490 25 - - - - -
13,660 705 - - - - -
Liari Deep (Sindh)
520 68 42 10 2 28 -
14,660 1,851 1,159 275 44 755 -
Lodano (Sindh)
489 1,879 1,015 470 514 98 62
12,367 47,735 25,789 12,465 12,965 2,460 1,565
Lodano Deep(Sindh)
- 2,330 267 210 136 116 68
- 56,614 6,476 5,469 3,447 2,927 1,714
Limu (Sindh)
- - 309 24 - - -
- - 7,692 608 - - -
Limu North (Sindh)
- - - 2,467 1,535 25 -
- - - 67,114 37,914 625 -
Limu East (Sindh)
- - - 5 4 0 -
- - - 141 90 2 -
Jabo(Sindh)
523 182 112 70 57 36 28
11,916 3,977 2,437 1,532 1,242 791 615
Contd..

88
(TOE)
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Jalal (Sindh)
2,227 614 0 - - - -
55,674 15,106 1 - - - -
Jarar Deep (Sindh)
- 4,345 3,261 190 79 19 -
- 104,277 78,260 4,854 2,018 479 -
Jhok (Sindh)
- 67 0 - - - -
- 1,752 1 - - - -
Kamal North
(Sindh)
811 499 637 561 387 313 269
25,289 15,454 19,746 17,404 11,658 9,412 8,101
Kausar (Sindh)
1,413 1,006 832 574 550 478 528
32,082 22,845 18,896 13,032 12,484 10,847 11,989
Malah (Sindh)
447 52 0 - - - -
11,970 1,436 9 - - - -
Mewa (Sindh)
322 189 46 - - - -
7,877 4,674 1,137 - - - -
Mohri (Sindh)
- - - - - 1,370 18
- - - - - 36,724 483
Moroja (Sindh)
- - - - - - 2,488
- - - - - - 64,433
Naimat Basal
(Sindh)**
1,782 2,040 1,308 989 791 588 543
38,491 48,968 31,396 23,746 18,993 14,109 13,030
Naimat Basal 2X
(Sindh)
254 147 157 76 61
7,964 4,597 4,916 2,373 1,907
Naimat West (Sindh)
1,004 13,253 15,255 41,754 44,088 36,251 39,795
17,773 238,560 274,598 751,577 780,355 641,649 704,371
Nando (Sindh)
- 7 169 36 23 - -
- 194 4,476 954 628 - -
Jogwani (Sindh)
3,395 836 311 78 7 - -
80,461 19,567 7,286 1,828 173 - -
Kato (Sindh)
33 30 13 55 75 70 54
953 883 364 1,596 2,257 2,134 1,633
Khorewah (Sindh)
2,516 2,055 2,269 1,399 979 977 681
66,914 53,835 59,441 36,657 26,438 26,384 18,399
Khorewah Deep
(Sindh)
398 477 171 53 48 33 25
10,068 11,914 4,275 1,333 1,237 863 634
Koli (Sindh)
20 145 72 50 -
489 3,514 1,747 1,221 -
Korai (Sindh)
- - 5,887 4,549 1,168 2,237 364
- - 143,061 115,996 30,591 58,603 9,526
Korai North (Sindh)
- - - 1 - - -
- - - 35 - - -
Kumbh (Sindh)
- - - 660 402 124 43
- - - 15,771 8,879 2,729 942
Mahi (Sindh)
- - - 4 45 10 -
- - - 95 1,114 251 -
Makhpur&Deep
(Sindh)
797 377 404 424 355 19 768
16,408 8,858 9,497 9,963 9,335 491 20,203
Makrani (Sindh)
- - - - 179 0 -
- - - - 4,932 5 -
Malkani (Sindh)
- - - - 11 23 -
- - - - 314 620 -
Contd..

89
(TOE)
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Matli (Sindh) 73 40 20 9 - - 20
1,771 983 476 218 - - 490
Missri (Sindh)
914 53 42 29 17 10 1
16,460 962 755 517 310 174 13
Mohib (Sindh)
- - - - 1,049 181 -
- - - - 24,538 4,232 -
Mor (Sindh)
- - - - 94 -
- - - - 2,092 -
Mulaki (Sindh)
639 212 - - - - -
16,795 5,549 - - - - -
Nurpur Deep (Sindh)
1,109 558 379 297 137 6 4
25,957 13,064 8,790 6,883 3,156 148 82
Oderolal (Sindh)
- - - - - 1,222 -
- - - - - 33,120 -
Pir (Sindh)
12 3 0 - - - -
287 63 9 - - - -
Pir Apan (Sindh)
3,060 - - - - -
61,816 - - - - -
Piaro Deep (Sindh)
1,442 401 244 231 100 71 53
33,740 9,381 6,427 6,083 2,751 1,956 1,463
Piaro Deep Bisal
(Sindh)
- - - 1,097 263 494 374
- - - 26,559 6,611 12,410 9,377
Qasim Deep (Sindh)
- 3,187 1,545 1,084 539 342 156
- 71,391 36,614 24,291 12,067 7,652 3,502
Ragni Deep (Sindh)
- 30 224 168 117 36 -
- 666 4,905 3,674 2,569 791 -
Rehim North (Sindh)
2,646 1,758 367 39 10 57 37
57,144 37,095 7,750 828 207 1,196 779
Raj (Sindh)
0 - - - - - -
2 - - - - -
Rajpari (Sindh)
- 1 - - - -
- 42 - - - -
Ramdiani (Sindh)
- - - - - - 158
- - - - - - 3,781
Rawal (Sindh)
232
6,197
Rind (Sindh)
21 - - - - -
547 - - - - -
Roshnai (Sindh)
- - - - - 639 1,448
- - - - - 18,208 41,281
Contd..

90
(TOE)
Field/Province 2012-13 2103-14 2014-15 2015-16 2016-17 2017-18 2018-19
Sahu (Sindh)
- - - 26 6 8 1
- - - 635 158 197 19
Saman (Sindh)
- - 19 16 0 - -
- - 442 382 10 - -
Sajan (Sindh)
- - - 863 291 1,007 1,391
- - - 21,222 7,440 25,772 35,597
Salamat (Sindh)
- - 1,978 11,690 10,667 10,275 9,930
- - 46,493 274,722 256,004 246,606 238,313
Shekhano (Sindh)
7,099 40 125 42 27 42 39
170,382 949 3,007 1,015 715 1,090 1,022
Siraj South (Sindh)
- - - - 9 0 -
- - - - 214 11 -
Sonro (Sindh)
1,420 586 528 880 247 207 151
32,806 13,350 12,037 20,055 6,590 5,535 4,030
Sohrab Deep (Sindh)
- 3,583 41,408 23,220 14,432 8,258 6,874
- 87,437 1,010,363 566,572 378,114 216,369 180,089
Suhrat (Sindh)
- - 339 379 217 - -
- - 8,227 9,211 5,545 - -
Sumar Deep (Sindh)
- 5,434 4,241 1,641 1,189 1,036 824
- 142,904 111,529 43,161 32,925 28,697 22,829
Sutiari Deep (Sindh)
- 2,543 9,186 17,629 18,847 36,714 47,936
- 43,223 156,155 299,685 326,047 635,152 829,285
Tangri Deep (Sindh)
1,430 834 453 326 100 73 71
36,189 21,107 11,228 8,093 2,661 1,938 1,879
Tharo (Sindh)
- - 377 2,573 1,637 881 535
- - 9,472 64,588 40,593 21,840 13,262
Tharo West (Sindh)
- - - - - 609 45
- - - - - 15,968 1,171
Thebo (Sindh)
- 576 1,102 696 340 250 269
- 15,270 29,193 18,439 8,748 6,429 6,926
Turk (Sindh)
981 700 610 726 564 527 492
26,083 18,607 16,223 19,388 15,341 14,332 13,374
Turk Deep (Sindh)
3,246 3,627 3,446 2,082 1,114 1,010 972
85,368 94,671 89,945 54,960 29,523 26,774 25,760
Umar (Sindh)
- - 700 1,616 626 527 102
- - 19,035 43,964 17,024 14,335 2,773
Usman (Sindh)
1,947 1,469 1,293 955 340 - -
44,195 33,347 29,347 21,669 7,708 - -
Wasayo (Sindh)
- - - 465 - - -
- - - 12,894 - - -
Zaur West (Sindh)
- - - 18 3 - -
- - - 481 87 - -
Others * (Sindh)
1,104 876 731 568 334 389 200
27,596 21,902 18,266 14,191 8,361 9,717 4,994
Total
1,487,544 1,473,269 1,447,606 1,465,292 1,458,490 1,443,907 1,421,205
30,660,717 30,419,795 29,507,084 29,999,740 29,824,872 29,485,519 28,894,911
* Others Include Paniro, Shah Dino, Tando Ghulam Ali.

91
Table A-48: Natural Gas Consumption by Sector
(TOE)
Sector 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Domestic
291,917 269,135 278,069 271,302 290,868 284,428 311,887
6,830,868 6,297,770 6,506,824 6,348,456 6,806,322 6,655,612 7,298,154
Commercial
40,689 38,117 35,187 33,633 32,858 32,096 31,205
952,115 891,927 823,381 787,005 768,884 751,052 730,188
General Industries
274,450 250,490 239,591 230,436 261,267 273,339 245,958
6,422,139 5,861,460 5,606,436 5,392,202 6,113,656 6,396,131 5,755,407
Pakistan Steel Mills
9,827 8,542 7,623 1,081 739 735 748
229,952 199,883 178,378 25,295 17,293 17,199 17,503
Cement
586 522 831 497 583 886 387
13,720 12,215 19,449 11,633 13,651 20,737 9,061
Fertilizer (as Feedstock)
148,782 164,378 166,903 182,076 182,241 181,662 196,576
2,754,794 3,024,845 3,088,834 3,559,855 3,622,881 3,500,893 3,842,384
Fertilizer (as fuel use)
39,237 52,139 58,609 80,847 94,564 66,442 37,258
727,491 963,123 1,064,643 1,471,520 1,737,760 1,204,500 695,246
Power
362,262 349,535 371,562 440,593 446,941 544,654 511,140
7,084,177 6,602,422 6,847,894 8,577,146 8,643,403 10,831,662 10,050,101
Transport (CNG)
100,228 87,634 66,517 64,455 67,245 70,455 65,099
2,345,331 2,050,646 1,556,505 1,508,246 1,573,536 1,648,649 1,523,315
SSGC - - - - - - 53,261
Total
1,267,980 1,220,493 1,224,893 1,304,919 1,377,307 1,454,697 1,453,517
27,360,587 25,904,290 25,692,343 27,681,360 29,297,384 31,026,434 31,167,665
Annual Growth Rate -1.57% -3.75% 0.36% 6.53% 5.55% 5.62% -0.08%

92
Table A-49: Natural Gas Consumption 2018-19 by Province
Unit: Million CFT
TOE
Sector Punjab
Khyber
Pakhtunkhwa
Sindh Balochistan Total
Domestic 179,886 36,286 80,734 14,981 311,887
4,209,331 849,092 1,889,176 350,555 7,298,154
Commercial 18,544 2,454 9,222 984 31,205
433,940 57,428 215,795 23,026 730,188
Gen-Industry* 98,250 14,101 133,190 416 245,958
2,299,055 329,972 3,116,646 9,734 5,755,407
Pakistan Steel Mills
- - 748 - 748
- - 17,503 - 17,503
Cement 10 136 242 0 387
224 3,174 5,663 0 9,061
Fertilizer (as Feedstock) 124,441 0 72,135 - 196,576
2,266,940 0 1,575,444 - 3,842,384
Fertilizer (as Fuel use) 25,370 41 11,846 - 37,258
464,205 968 230,073 - 695,246
Power 204,001 - 188,621 118,518 511,140
4,744,794 - 4,022,075 1,283,232 10,050,101
Transport 16,623 25,759 21,909 808 65,099
388,980 602,758 512,671 18,907 1,523,315
Total
53,261 - - - 53,261
1,246,306 - - - 1,246,306
Source:- Hydrocarbon Development Institute of Pakistan (Energy Year Book).

93
Table A-50: Gas Supplies to Fertilizer and Power Sectors by Source
(TOE)
Sector/Source 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Fertilizer Sector
SNGPL 13,748 16,764 17,825 49,720 65,898 41,759 56,918
321,702 392,278 417,094 1,163,449 1,544,134 977,163 1,131,884
SSGCL 18,785 16,950 17,264 23,199 21,564 19,863 18,599
439,569 396,630 403,978 542,857 504,598 464,794 435,217
Mari Gas Field 155,487 182,803 190,423 190,004 189,252 186,482 158,316
2,721,014 3,199,060 3,332,405 3,325,070 3,311,910 3,263,435 2,770,530
Total Fertilizer
Sector
188,019 216,517 225,512 262,923 276,805 248,104 233,833
3,482,285 3,987,968 4,153,476 5,031,375 5,360,641 4,705,392 4,537,630
Power Sector
SNGPL 118,587 108,080 95,997 138,670 154,915 237,138 256,828
2,774,939 2,529,082 2,246,328 3,244,879 3,625,011 5,549,019 6,009,764
SSGCL 73,063 66,598 79,222 107,057 81,039 71,876 56,567
1,709,674 1,558,393 1,853,795 2,505,134 1,896,313 1,681,898 1,323,668
Kandhkot Gas Field 25,483 30,183 32,194 27,247 34,995 54,135 49,798
507,119 600,647 637,441 534,045 685,900 1,061,047 976,037
Mari Gas Field 40,884 20,604 19,123 26,492 22,944 35,870 34,309
715,478 360,574 334,658 463,605 401,520 627,725 600,408
Nandpur/Panjpir
Gas Field
13,923 13,531 7,729 5,897 3,781 2,935 1,601
75,184 50,064 41,739 21,819 20,419 15,851 8,648
Uch Gas Field 61,303 83,975 106,013 105,921 115,022 112,911 112,037
686,599 940,514 1,070,733 1,186,315 1,288.246 1,264,606 1,131,577
Qadirpur Gas Field
29,018 26,564 31,283 29,309 34,245 29,788 -
615,185 563,147 663,200 621,350 725,994 631,516 -
Total Power Sector
362,262 349,535 371,562 440,593 446,941 544,654 511,140
7,084,177 6,602,422 6,847,894 8,577,146 8,643,403 10,831,662 10,050,101

94
Table A-51: Installed Capacity of Electricity Generation
Unit:MW
Type/Power Station 2013 2014 2015 2016 2017 2018 2019
A- Hydel (WAPDA)
Tarbela 3478 3478 3478 3478 3478 3478 3478
T-4th - - - - - 1410
Ghazi Barotha 1450 1450 1450 1450 1450 1450 1450
Mangla 1000 1000 1000 1000 1000 1000 1000
Warsak 243 243 243 243 243 243 243
Chashma 184 184 184 184 184 184 184
DKHP - - 130 130 130 130 130
Jinah 96 96 96 96 96 96 108
AKHP 121 121 121 121 121 121 96
Dargai 20 20 20 20 20 20 121
New Jabban - 22 22 22 22 22 20
Gomal Zam - 17 17 17 17 17 22
Rasul 22 22 22 22 22 22 17
Shadiwal 14 14 14 14 14 14 22
Chichoki Malian 13 13 13 13 13 13 14
Nandipur 14 14 14 14 14 14 13
Kurram Garhi 4 4 4 4 4 4 14
Renala 1 1 1 1 1 1 4
Chitral 1 1 1 1 1 1 1
KKHP 72 72 72 72 72 72 1
A. 2 Hydel (AJKHEB)
Jagran 30 30 30 30 30 30 30
Others 10 7 14 7 14 21 6
A. 3 Hydel (Pravate sector)
New Bong Escape Hydro - 84 84 84 84 84 84
Pehur - - - 18 18 18 18
Malakand - - - 81 81 81 81
Pehur - - - - - 3 -
Hydel Sub-Total 6773 6893 7030 7122 7129 7139 8639
B. 1 Thermal (WAPDA)
GTPS Shahdra 44 59 59 44 - - -
SPS Faisalabad 132 132 132 132 132 132 132
GTPS Faisalabad 244 244 244 244 244 244 244
NGPS Multan 130 195 195 195 - - -
TPS Muzaffar Garh 1350 1350 1350 1350 1350 1350 1350
TPS Guddu 1655 1655 1655 2402 2402 2402 2402
GTPS Kotri 174 174 174 144 144 174 174
TPS Jamshoro 850 850 850 850 850 880 880
FBC Lakhra 50 150 150 150 50 50 50
TPS Quetta 35 35 35 35 35 35 35
GTPS Panjgur 39 39 39 39 39 39 39
TPS Pasni 17 17 17 17 17 17 17
CCPP Nandipur - - - 425 425 425 425
Thermal WAPDA
Sub-Total 4720 4900 4900 6027 5688 5748 5748
Contd…

95
Table A-51: Installed Capacity of Electricity Generation as on 30th June
Unit:MW
Type/Power Station 2013 2014 2015 2016 2017 2018 2019
B.2. Thermal (KESC)
TPS Korangi 88 - - - - - -
GTPS Korangi Town 0 88 107 107 107 107 107
GTPS Site 88 88 107 107 107 107 107
TPS Bin Qasim 1260 1260 840 1260 1260 1260 1260
Korangi CCP 220 220 248 248 248 248 248
TPS Bin Qasim-II 560 560 573 573 573 573 573
Thermal (KESC) Sub-Total 2216 2216 1875 2295 2295 2295 2295
B.3. Thermal (IPPs)
AES Lalpir 362 362 362 362 362 362 362
AES Pak Gen 365 365 365 365 365 365 365
Altern Energy 31 31 31 31 31 31 31
Attock Gen. 165 165 165 165 165 165 165
Atlas Power 225 214 214 214 219 219 219
Baloki - - - - - 1320 1320
Devis Energen - - - 11 11 11 11
Engro Energy 221.0 217 217 217 217 217 217
Fauji Kabirwala 157 157 157 157 157 157 157
Foundation Power 185 185 185 185 185 185 185
Gul Ahmed 136 136 136 136 136 136 136
Gulf Power Gen - - - - - 62 62
Habibullah 129 140 140 140 140 140 140
Haveli Bahdur Shah PP - - - - 1230 1230 1230
Halmore Power 207 225 225 225 225 225 225
HUBCO 1292 1292 1292 1292 1292 1292 1292
Hub Power, Narowal 225 225 219 214 214 214 214
Japan Power 135 135 135 135 135 135 135
KAPCO 1466 1466 1466 1466 1466 1466 1466
Kohinoor Energy 131 131 131 131 131 131 131
Liberty Tech Power 200 200 200 202 202 202 202
Nishat Chunian 200 200 200 200 200 200 200
Nishat Power 200 200 200 200 200 200 200
Orient Power 213 213 213 213 213 213 213
Port Qasim - - - - - 1320 1320
Quaid-e-Azam Thermal PP - - - - 1180 1180 1180
Reshman - - - - - 97 97
Rousch Power 450 450 450 450 450 450 450
Saba Power 134 134 134 134 134 134 134
Sahiwal Coal Fire Plant - - - - 1320 1320 1320
Saif Power 229 229 229 225 225 225 225
Southern Electric 135 135 135 136 136 136 136
Sapphire Electric 212 212 212 235 212 212 212
Tapal Energy 126 126 126 126 126 126 126
TNB Liberty Power 235 235 235 235 235 235 235
Uch Power 586 586 586 586 586 586 586
Uch-II Power - 404 404 404 404 404 404
Thermal Private Sub-Total 8353 8771 8766 8793 12505 15304 15304
C. NUCLEAR
KANUPP 100 100 100 100 100 100 100
CHASNUPP-I 325 325 325 325 325 325 325
CHASNUPP-II 325 325 325 325 325 325 325
CHASNUPP-III - - - - 340 340 340
CHASNUPP-IV - - - - - 340 340
Nuclear Sub-Total 750 750 750 750 1090 1430 1430
Grand Total 22812 23531 23759 25889 29944 33554 35114
Of which: Thermal- Total 15289 15887 15541 17115 20488 23347 23347

96
Table A-52: Gross Generation of Electricity by Source
Unit: GWh
Source 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Hydel (WAPDA) ** 29687 31254 31824 33433 31091 26995 26414
Thermal (WAPDA) 14148 14236 12133 13917 19571 16193 13378
KESC 8567 8709 9318 10323 10147 10338 10727
IPPs 38996 43761 46435 46272 51550 63082 62496
Thermal-Total 61711 66707 67886 70512 81268 89614 86602
Nuclear (KANUPP) 606 328 404 430 491 419 175
CHASNUPP-I 2295 2376 2656 1616 2293 2627 2294
CHASNUPP-II 1652 2386 2744 2560 2501 2484 2448
CHASNUPP-III - - - - 1714 2432 2694
CHASNUPP-IV - - - - - 1918 2298
Nuclear-Total 4553 5090 5804 4605 6999 9880 9909
Total Generation 96122 103670 106966 111300 123118 131275 128532
Imported * 375 419 443 463 496 556 487
Total Electricity
Supply 96497 104089 107408 111763 123614 131831 129019
Of which WAPDA 43835 45490 44607 47350 51754 43188 39793
Annual Growth Rate 1.08% 7.85% 3.18% 4.05% 10.62% 6.63% -2.09 %
* WAPDA imported electricity from Iran since October, 2002.
** AJKHEB generation data is for nine months (July 2011 to Februray 2012)
Table A-53: Electricity Consumption by Sector (Public Utilities Only)
Unit (GWh)
(TOE)
Sector 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Domestic 36116 39549 41450 44486 48698 54028 53685
2941308 3220860 3375647 3622967 3965972 4400021 4372102
Commercial 6007 6375 6512 7181 7856 8606 8513
489207 519195 530331 584855 639808 700907 693306
Industrial 22313 24356 24979 25035 24010 27468 28760
1817171 1983592 2034309 2038889 1955361 2236985 2342205
Agriculture 7697 8290 8033 8526 9221 10128 9809
626827 675099 654221 694395 750993 824859 798870
Street Light 457 458 441 459 484 475 451
37231 37274 35925 37410 39430 38647 36769
Bulk Supplies 4137 4313 4334 4666 5018 5515 5622
336931 351271 352929 379990 408662 449104 457891
General Services*
- - - - - - 1
- - - - - - 112
Other Govt. ** 61 68 69 76 242 708 2618
4999 5503 5648 6197 19714 57628 213235
Total: GWh
TOE
76789 83409 85818 90431 95530 106927 109461
6253675 6792794 6989011 7364702 7779939 8708151 8914489
Annual Growth
Rate 0.04% 8.62% 2.89% 5.38% 5.64% 11.93% 2.37%
* = Introduction of Gernal Services Category post notification of K-Electric’s MYT on May 22, 2019
** = Other Government includes Railways Traction & Co-genderation

97
Table A-54: Electricity Consumption by Province (Public Utilities Only)
(GWh)
(TOE)
Sector 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Punjab
46467 52088 53249 57245 60940 69718 71735
3784272 4242047 4336599 4662033 4962954 5677834 5842098
Sindh
17193 17839 18997 19213 19479 20850 21016
1400184 1452812 1547082 1564714 1586372 1698051 1711553
Khyber Pakhtunkhwa
8455 8837 8700 8812 9660 10278 10677
688575 719685 708528 717649 786710 837040 869535
Balochistan
3812 3744 3994 4220 4452 4915 4778
310449 304911 325271 343677 362571 400278 389120
AJK
862 901 878 941 999 1166 1255
70194 73338 71531 76629 81333 94949 102183
Total:
76789 83409 85818 90431 95530 106927 109461
6253675 6792794 6989011 7364702 7779939 8708151 8914489
Source Hydrocarbon Development Institute of Pakistan (Energy Year Book).
Table A-55: Fuel Consumption for Thermal Power Generation
(TOE)
Fuel 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Coal 28204 71902 67638 91463 384585 1984722 2640347
Furnace Oil 7342755 8486744 8234479 7288400 8037139 6029947 2661528
Diesel Oil 218584 304994 565953 294755 291841 194033 27383
Gas 7084177 6602422 6847894 8577146 8643403 10831662 10050101
Total: 14673721 15466061 15715963 16251764 17356967 19040365 15379360
Annual Growth
Rate 3.41% 5.40% 1.62% 3.41% 6.80% 9.70% -19.23%

98
Table A-56: Thermal Electricity Generation by Fuel
(TOE)
Fuel 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Coal 61 157 145 148 279 10911 15774
Oil 34534 39880 39390 35362 39563 29501 13392
RLNG - - - - - 9768 22590
Gas 27116 26670 28352 35001 41426 39435 34846
Total: 61711 66707 67886 70512 81268 89614 86602
Annual Growth Rate 0.66% 8.09% 1.77% 3.87% 15.25% 10.27% -3.36%
Table A-57: Field-wise Production of Coal in Pakistan
(Tones)
ProvinceField 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Balochistan
Sor Range 74726 151509 162901 179270 193372 168907 0
Degari 21868 22750 648 38777 39498 56838 0
Sharigh 170336 240577 90358 344769 229746 157235 0
Sinjidi 44240 34138 113207 87606 70920 84299 0
Mach 75635 112684 76302 144244 143856 122201 0
Harnai-Khost
Nasaka-Zardalu 152291 161346 60042 190258 192974 197122 583810
Duki 242358 273230 824837 683605 556861 530255 1555302
Pir Ismail Ziarat 139933 170005 139636 194033 105808 74972 613195
Pir Ismail Ziarat Sibi - - - - 49,386 39,915 0
Abegum 7425 10633 12910 48207 21851 10548 0
Barkhan/
Chamalang 221420 173372 181339 153204 147066 81198 0
Bolan - - - - - - 144692
Sub Total 1150232 1350244 1662180 2063973 1751338 1523490 2896999
Khyber Pakhtunkhwa
Makerwal/
Gula Khel 68209 84186 86528 87868 80072 56599 80924
Kohat, FATA 197957 156828 183903 302550 279565 403305 343200
Sub Total 266166 241014 270431 390418 359637 459904 424124
Punjab
Makerwal/Salt
Range 604875 683689 656637 935019 985313 1003182 1028843
Sub Total 604875 683689 656637 935019 985313 1003182 1028843
Sindh
Lakhra 1152898 1158575 1116699 745493 1061854 1280957 1100058
Jhimpir 4890 4775 5614 6631 6784 29662 12626
Sub Total 1157788 1163350 1122313 752124 1068638 1310619 1112684

99
Table A-58: Energy Consumption by Sector
(TOE)
Sector 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Domestic
Oil 100937 103859 91829 76706 79607 68162 62,470
Gas 6830868 6297770 6506824 6348456 6806322 6655612 7,298,154
LPG 245902 259494 312629 465446 491857 536415 4,81,982
Electricity * 2941308 3220860 3375647 3622967 3965972 4400021 4,372,102
Sub-Total 10119014 9881983 10286929 10513575 11343757 11660210 12,214,708
Annual Growth Rate 8.10% -2.34% 4.10% 2.20% 7.90% 2.79% 4.76%
* @ 3412 Btu/k Wh.
Commercial
LPG 203523 244393 311330 447286 466537 558022 4,49,387
Gas 952115 891927 823381 787005 768884 751052 7,30,188
Electricity * 489207 519195 530331 584855 639808 700907 6,93,306
Sub-Total 1644845 1655515 1665042 1819146 1875228 2009982 1,872,881
Annual Growth Rate 3.74% 0.65% 0.58% 9.26% 3.08% 7.19% -6.82%
* @ 3412 Btu/k Wh.
Industrial
Oil 1384433 1305675 1309459 2013945 1992437 1785880 1,307,193
Gas* 7393301 7036680 6868906 6900651 7882359 7638566 6,477,217
Electricity** 1817171 1983592 2034309 2038889 1955361 2236985 2,342,205
Coal 3661193 3446131 4631627 4975472 6097816 8940477 10,292,739
Sub-Total 14256099 13772078 14844302 15928956 17927974 20601909 20,419,355
Annual Growth Rate -5.18% -3.40% 7.79% 7.31% 12.55% 14.91% -0.89%
*Includes energy consumption in fertilizer production. ** @ 3412 Btu/k Wh.
Agricultural
Oil* 33158 48605 38,791 15119 13201 15134 15,649
Electricity** 626827 675099 654221 694395 750993 824859 7,98,870
Sub-Total 659986 723704 693012 709513 764194 839993 8,14,519
Annual Growth Rate -8.39% 9.65% -4.24% 2.38% 7.71% 9.92% -3.03%
*HSD consumption for tractors in agriculture sector is not separately available and is included in the transport sector.
Agriculture sector represents LDO only. ** @ 3412 Btu/k Wh.
Contd…

100
Table A-58: Energy Consumption by Sector
(TOE)
Sector 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Transport
Aviation Fuel 481,611 501,906 427,344 477,992 499,677 473,929 3,61,405
Motor Spirit 3,505,959 4,057,635 4,984,851 6,076,351 7,004,423 7,847,016 8,084,795
HOBC 9,632 11,641 21,618 40,878 93,157 129,380 89,970
E-10 9,402 2,720 0 0 0 0 0
Kerosene 185 78 74 59 38 41 25
HSD 6,360,708 6,308,838 6,593,609 7,181,583 7,834,580 8,537,787 7,013,274
LOD 96 0 0 715 0 0 0
Furnace Oil 377 651 669 1,509 2,558 426 327
Electricity* 0 0 0 0 0 0 0
Natural Gas** 2,345,331 2,050,646 1,556,505 1,508,246 1,573,536 1,648,649 1,523,315
Sub-Total 12,713,300 12,934,115 13,584,670 15,287,332 17,007,968 18,637,229 17,073,111
Annual
Growth Rate 1.20% 1.74% 5.03% 12.53% 11.26% 9.58% -8.39%
* @ 3412 Btu/k Wh. Includes railway traction. ** Compressed Natural Gas (CNG)
Other Government Sector
Oil 333,444 376,403 383,222 405,220 385,300 407,198 4,29,790
Electricity* 379,161 394,047 394,502 423,597 467,805 545,379 7,08,007
LPG 78,993 81,674 132,455 297,687 350,078 290,989 2,17,011
Gas - - - - - - 1,246,306
Sub-Total 791,598 852,124 910,179 1,126,504 1,203,183 1,243,567 2,601,113
Annual
Growth Rate 3.72% 7.65% 6.81% 23.77% 6.81% 3.36% 109.17%
* @ 3412 Btu/kWh
Sector-wise detail
Domestic 10,119,014 9,881,983 10,286,929 10,513,575 11,343,757 11,660,210 12,214,708
Commercial 1,644,845 1,655,515 1,665,042 1,819,146 1,875,228 2,009,982 1,872,881
Industrial 14,256,099 13,772,078 14,844,302 15,928,956 17,927,974 20,601,909 20,419,355
Agricultural 659,986 723,704 693,012 709,513 764,194 839,993 8,14,519
Transport 12,713,300 12,934,115 13,584,670 15,287,332 17,007,968 18,637,229 17,073,111
Other Govt. 791,598 852,124 910,179 1,126,504 1,203,183 1,243,567 2,601,113
Total 40,184,842 39,819,518 41 ,984,134 45,385,026 50,122,304 54,992,890 54,181,168

101
Table A-59: International Shipping-Entered and Cleared at Karachi Port/Port Qasim
Port/Year
Vessels Entered Vessels Cleared
Number
Net registered tonnage
Number
Net registered tonnage
In ballast With cargo In ballast With cargo
Karachi Port
2008-09 2,487 2,930 19,791 1,693 4,168 11,346
2009-10 2,376 2,395 21,939 1,595 3,613 12,390
2010-11 2,142 1,873 24,527 1,506 2,636 14,791
2011-12 1,635 1,483 20,199 1,194 2,505 21,383
2012-13 1,671 1,907 21,140 1,478 3,473 14,396
2013-14 1,657 1,563 24,343 1,277 3,722 14,839
2014-15 1,663 2,251 23,677 1,148 3,890 47,283
2015-16 1,683 5,349 31,325 1,007 4,089 51,673
2016-17 1,699 6,865 26,887 967 4,318 61,574
2017-18 1,739 2,437 29,610 892 3,368 13,688
2018-19 1205 1387 21957 536 1197 9736
PORT QASIM
2008-09 1,196 1,062 33,028 1,222 14,342 20,670
2009-10 1,173 909 32,974 1,201 12,793 20,437
2010-11 1,184 890 34,420 1,228 12,283 22,021
2011-12 1,050 828 31,202 1,089 12,127 18,474
2012-13 1,045 791 31,977 1,079 12,025 19,352
2013-14 1,053 845 30,683 1,076 10,579 19,430
2014-15 1,259 996 37,128 1,278 13,301 22,901
2015-16 1,315 1,055 29,792 1,372 8,511 21,834
2016-17 1,361 1,112 32,691 1,409 6,480 25,578
2017-18 1,522 975 38,880 1,557 10,631 27,490
2018-19 1,471 976 33,059 1,490 7,941 24,835
Source:- i. Karachi Port Trust and Port Qasim Authority ii. Pakistan Statistical Year Book-2018

102
Table A-60: Number and Registered Tonnage of Native Crafts by Nationalities, which
Entered/Cleared in Coastal Shipping with Cargo into/From Karachi Port
Year
Pakistani (Entered &Cleared) Arabian(Entered) Arabian (Cleared)
No.of Country
Crafts
Net Tonnage of
Country Crafts
No.of Country
Crafts
Net Tonnage of
Country Crafts
No.of Country
Crafts
Net Tonnage of
Country Crafts
2008-09 301,683 773 391 152,697 382 148,986
2009-10 388,876 958 479 194,732 479 194,144
2010-11 373,186 711 360 218,705 351 154,481
2011-12 193,401 517 262 97,080 255 96,321
2012-13 309,905 969 486 151,680 483 158,225
2013-14 168,070 494 242 81,687 252 86,463
2014-15 115,677 353 176 57,960 177 57,717
2015-16 - - 128 495,09 129 87,436
2016-17 - - 121 62,480 120 88,779
2017-18 - - 161 74,863 157 161,085
2018-19 - - 154 55657 153 138,290
Source:- Karachi Port Trust.
Table A-61: Total Passengers Handled at Civil Airports in Pakistan (Scheduled and Non-
scheduled)
(Numbers)
Year
Domestic International
Embarked Disembark Transit Total Embarked Disembark Transit Total
2008-09 3,086,871 3,086,871 96,233 6,269,975 6,254,908 5,837,371 216,246 12,308,525
2009-10 3,355,041 3,355,041 70,501 6,780,583 4,165,886 3,945,034 193,779 8,304,699
2010-11 3,522,167 3,522,167 108,908 7,153,242 4,363,214 3,837,627 2,59,357 8,460,198
2011-12 3,248,362 3,248,362 98,241 6,594,965 4,826,746 4,330,294 2,55,232 9,412,272
2012-13 3,356,523 3,356,523 78,231 6,791,277 5,008,689 4,568,306 2,09,128 9,786,123
2013-14 3,590,213 3,590,213 44,515 7,224,941 5,544,067 5,224,333 122,497 10,890,897
2014-15 3,160,402 3,160,402 31,954 6,352,758 6,053,727 5,590,406 80,069 11,724,202
2015-16 3,466,052 3,466,052 33,214 6,965,318 7,131,447 6,620,011 93,802 13,845,060
2016-17 3,573,915 3,573,915 34,179 7,182,009 7,307,476 7,425,543 106,747 14,839,766
2017-18 3,646,802 3,646,802 23,965 7,317,569 7,594,337 7,948,202 67,174 15,609,713
2018-19 3,002,554 3,002,554 14,845 6,019,953 7,254,799 7,373,146 38,945 14,666,890
Year
Total (Domestic + International)
Embarked Disembarked Transit Total
2008-09 9,341,779 8,924,242 312,479 18,578,500
2009-10 7,520,927 7,300,075 264,280 15,085,282
2010-11 7,885,381 7,359,794 368,265 15,613,440
2011-12 8,075,108 7,578,656 353,473 16,007,237
2012-13 8,365,212 7,924,829 287,359 16,577,400
2013-14 9,134,280 8,814,546 167,012 18,115,838
2014-15 9,214,129 8,750,808 112,023 18,076,960
2015-16 10,597,499 10,086,063 126,816 20,810,378
2016-17 10,881,391 10,999,458 140,926 22,021,775
2017-18 11,241,139 11,595,004 91,139 22,927,282
2018-19 10,257,353 10,375,700 53,790 20,686,843
Source:- Civil Aviation Authority, Karachi.

103
Table A-62: Air Traffic of Passengers, Freight and Mail of Pakistan International Airlines
Year
Kilometers
Flown
Passenger
Kilometers
performed
Tone kilometers performed
Passengers Freight Mail Total
Domestic Scheduled
2007-08 16,687 1,808,827 162,923 37,833 379 201,135
2008-09 16,839 1,769,896 159294 28,935 278 188,507
2009-10 16,801 1,786,435 160831 27862 178 1,88,871
2010-11 16,974 1,984,827 178913 27510 242 2,06,665
2011-12 16,226 1,883,788 169695 23856 183 1,93,734
2012-13 11,651 1,422,018 128214 18569 69 1,46,852
2013-14 104,47 1,212,607 110399 11042 49 1,21,490
2014-15 13,176 1,400,814 127464 7999 54 1,35,517
2015-16 16,431 1,920,266 173120 8211 92 1,81,423
2016-17 14,258 1,825,369 164304 8282 104 1,72,689
2017-18 13,623 1,641,562 147,851 11,453 96 159,400
International Scheduled
2007-08 60,031 11,278,558 1,020,288 296,049 2,607 1,318,944
2008-09 62,833 12,456,115 1,121,655 252,542 2,132 1,376,329
2009-10 64,438 1,2761,471 1,151,127 2,79,271 2372 1,432,770
2010-11 69,820 14,224,616 1,287,337 3,00,572 2409 1,590,318
2011-12 68,711 13,779,858 1,250,849 2,64,641 1952 1,517,442
2012-13 51,493 10,815,132 9,83,591 2,17,036 2649 1,203,276
2013-14 51,074 10,690,710 9,73,657 1,46,583 1544 1,121,784
2014-15 54,453 10,310,539 9,37,382 1,17,591 870 1,055,843
2015-16 63,411 11,830,403 1,068,649 1,24,683 669 1,194,001
2016-17 60,949 12,163,435 1,097,077 1,98,413 681 1,296,172
2017-18 56,466 12,333,862 1,114,094 197,475 554 1,312,123
Source:- Civil Aviation Authority, Karachi.

104
Table A-63: Major Traffic Flows by Airlines during the Year 2019 (Location All)
Airline
Passenger (Number) Cargo (M. Tones
Embarked Dis-
Embarked
Terminal Transit Total Loaded Un-loaded Terminal Transit Total
DOMESTIC
Air Blue Ltd (ABQ) 314,485 314,485 628,970 0 628,970 2,070 2,070 4,140 0 4140
Serene Air (SEP) 875,536 875,536 1,751,072 0 1,751,072 7,996 7,996 15,992 0 15,992
Pakistan Int’ Airlines
(PIA) 1,795,877 1,795,877 3,591,754 14,845 3,606,599 8,498 8,498 16,995 0 16,995
Shaheen Air
International (SAI) 16,656 16,656 33,312 0 33,312 161 161 321 0 321
Sub Totals 3,002,554 3,002,554 6,005,108 14,845 6,019,953 18,724 18,724 37,449 0 37,449
INTERNATIONAL
Air Arabia (ABY) 392,449 396,397 788,846 0 788,846 6,500 7 6,506 0 6,506
Air Blue Ltd (ABQ) 618,110 596,263 1,214,373 0 1,214,373 2,167 13 2,180 0 2,180
Air China (CCA) 43,724 62,413 106,137 0 106,137 1,620 7,329 8,949 0 8,949
Srilankan Airlines LTd
(ALK) 36,894 36,668 73,562 0 73,562 735 468 1,203 0 1,203
British Airways (BAW) 2,240 2,720 4,960 0 4,960 15 21 36 0 36
China Southern
Airlines (CSN) 44,777 50,647 95,424 0 95,424 70 268 399 0 399
Emirates Airlines
(UAE) 1,140,336 1,180,292 2,320,628 0 2,320,628 135,050 15,771 150,821 0 150,821
Etihad Airways (ETD) 227,009 250,148 477,157 0 477,157 4,719 1,375 6,093 0 6,093
Fly Dubai (FDB) 453,014 426,872 879,886 0 879,886 5,918 223 6,141 0 6,141
Gulf Air (GFA) 272,168 278,702 550,870 0 550,870 7,621 1,533 9,154 0 9,154
Iraqi Airways (IAW) 8,396 9,747 18,143 0 18,143 0 0 1 0 1
Iran Air (IRA) 8,384 8,927 17,311 0 17,311 2 21 24 0 24
Kuwait Airways (KAC) 43,558 42,532 86,090 0 86,090 2,457 42 2,499 0 2,499
Kam Air (KMF) 5,052 5,770 10,822 0 10,822 4 0 4 0 4
Fly Nas (KNE) 70,851 75,373 146,224 0 146,224 906 5 911 0 911
Malindo Air (MXD) 25,806 24,536 50,342 0 50,342 0 14 14 0 14
Oman Air (OMA) 235,765 237,071 472,836 0 472,836 5,006 1,210 6,217 0 6,217
Salam Air (OMS) 72,158 68,366 1,40,524 0 1,40,524 448 3 450 0 450
Pakistan Int’ Airlines
(PIA) 1,692,977 1,603,729 3,296,706 24,098 3,320,804 16,505 6,015 22,521 0 22,521
Qatar Airways
Company (QTR) 463,134 462,247 925,381 0 925,381 25,552 14,447 39,999 0 39,999
Saudi Arabian Airlines
(SVA) 962,519 1,103,839 2,066,358 0 2,066,358 19,155 756 19,911 0 19,911
Shaheen Air
International (SAI) 14,761 28,787 43,548 0 43,548 116 21 137 0 137
Saudi Gulf (SGQ) 62,106 60,856 122,962 0 122,962 0 0 0 0 0
Taban 1774 1834 3608 0 3608 0 0 0 0 0
Thai Airways
International Ltd.
(THA) 168,686 176,625 345,311 14,847 360,158 8,589 8,312 16,900 592 17,492
Turkish Airlines (THY) 182,401 176,080 358,481 0 358,481 9,831 43,092 52,923 0 52,923
Uzbekistan Airways
(UZB) 5,750 5,705 11,455 0 11,455 81 2 83 0 83
Sub Totals 7,254,799 7,373,146 14,627,945 38,945 14,666,890 253,067 100,950 354,017 592 354,609
Grand Totals 10,257,353 10,375,700 20,633,053 53,790 20,686,843 271,791 119,674 391,466 592 392,058
Contd..

105
Table A-63: Major Traffic Flows by Airlines during the July, 2015 to June, 2019 (Location All)
Airline
Mail (Tons)
Loaded Un-loaded Terminal Transit Total
DOMESTIC
Air Blue Ltd (ABQ) 0 0 0 0 0
Serene Air (SEP) 0 0 0 0 0
Pakistan Int’ Airlines (PIA) 67 67 133 0 133
Shaheen Air International (SAI) 0 0 0 0 0
Sub Totals 67 67 133 0 133
INTERNATIONAL
Air Arabia (ABY) 0 0 0 0 0
Air Blue Ltd (ABQ) 0 0 0 0 0
Air China (CCA) 0 30 30 0 30
Srilankan Airlines LTd (ALK) 0 0 0 0 0
British Airways (BAW) 0 0 0 0 0
China Southern Airlines (CSN) 0 0 0 0 0
Emirates Airlines (UAE) 44 411 455 0 455
Etihad Airways (ETD) 113 112 225 0 225
Fly Dubai (FDB) 0 0 0 0 0
Gulf Air (GFA) 51 55 107 0 107
Iraqi Airways (IAW) 0 0 0 0 0
Iran Air (IRA) 170 0 170 0 170
Kuwait Airways (KAC) 0 7 7 0 7
Kam Air (KMF) 0 0 0 0 0
Fly Nas (KNE) 0 0 0 0 0
Malindo Air (MXD) 0 0 0 0 0
Oman Air (OMA) 0 0 0 0 0
Salam Air (OMS) 0 0 0 0 0
Pakistan Int' Airlines (PIA) 96 23 119 0 119
Qatar Airways Company (QTR) 1 111 113 0 113
Saudi Arabian Airlines (SVA) 2,429 19,835 22,265 0 22,265
Shaheen Air International (SAI) 0 0 0 0 0
Saudi Gulf (SGQ) 0 0 0 0 0
Taban 0 0 0 0 0
Thai Airways International Ltd. (THA) 291 135 426 96 522
Turkish Airlines (THY) 0 67 67 0 67
Uzbekistan Airways (UZB) 0 0 0 0 0
Sub Totals 3,196 20,787 23,983 96 24,080
Grand Totals 3,263 20,854 24,116 96 24,213
Source: Civil Aviation Authority Note: Provisional data.

106
Table A-64: Major Traffic Flows by Airports during the July, 2018 to June, 2019(Location All)
Airline
No of Passenger (Commercial)
Domestic International Total
Bahawalpur 23,882 0 23,882
Chitral 5,498 0 5,498
D.G Khan 7,205 0 7,205
D.I.Khan 621 0 621
Dalbandin 4,399 0 4,399
Faisalabad 102,049 375,796 477,845
Gilgit 45,137 0 45,137
Gwader 19,039 7,039 26,078
Islamabad BBIAP 1,366,759 3,837,407 5,204,166
Islamkot 258 0 258
Kadanwari Khairpur 1,276 0 1,276
Karachi Jiap 2,526,702 4,060,435 6,587,137
Lahore Aiiap 996,266 3,547,418 4,543,684
Mohenjodaro 8,403 0 8,403
Multan 120,647 903,349 1,023,996
Panjgur 5,570 0 5,570
Peshawar Bkia 191,304 1,210,919 1,402,223
Quetta 335,380 30,829 366,209
Rahim Yar Khan 53,970 0 53,970
Sawan 1,218 0 1,218
Sialkot 32,304 676,248 708,552
Skardu 49,180 0 49,180
SUI 282 0 282
Sukkur 93,592 0 93,592
Turbat 27,177 17,450 44,627
Zhob 1,835 0 1,835
Grand Total 6,019,953 14,666,890 20,686,843
Source: Civil Aviation Authority
Note: Provisional data.

107
Table A-65: Cargo and Mail Handled at Civil Airports
Year
Cargo Handled at Civil Airports
Loaded Un-loaded Transit Total Loaded Un-Loaded
2010-11 38119 38119 - 76238 160102 59041
2011-12 34298 34298 - 68596 167219 56112
2012-13 35629 35629 - 71258 196681 57003
2013-14 28597 28597 - 57194 188948 53045
2014-15 19332 19332 - 38664 59608 232417
2015-16 18771 18771 - 37542 180523 131250
2016-17 33435 33435 - 66870 161875 81795
2017-18 38119 38119 - 76238 166845 71233
Year
International Domestic & International
Transit Total Loaded Un-loaded Transit Total
2010-11 560 219704 198221 97160 560 295941
2011-12 498 223830 201518 90410 498 292426
2012-13 474 254160 232310 92633 475 325418
2013-14 504 242498 217546 81642 504 299692
2014-15 538 232955 192141 78939 538 271618
2015-16 526 312299 199295 150021 526 349842
2016-17 647 244319 195311 115230 647 311188
2017-18 881 238960 204964 109352 881 315197
Year
Mail Handled at Civil Airports
Loaded Un-loaded Transit Total Loaded Un-Loaded
2010-11 1456 1456 - 2912 593 898
2011-12 1538 1538 - 3076 646 926
2012-13 993 993 - 1986 762 835
2013-14 1255 1255 - 2510 659 777
2014-15 82 82 - 164 755 2527
2015-16 93 93 - 186 573 13120
2016-17 97 97 - 194 540 13561
2017-18 204 204 - 408 688 1232
Year
International Domestic & International
Transit Total Loaded Un-loaded Transit Total
2010-11 17 1508 2048 2354 17 4419
2011-12 10 1582 2184 2465 10 4659
2012-13 12 1609 1755 1827 12 3594
2013-14 15 1451 1914 2032 15 3961
2014-15 18 3300 837 2608 18 3463
2015-16 8 13700 666 13213 8 13887
2016-17 8 14109 636 13658 8 14302
2017-18 53 1974 892 1436 53 2381
Source: Civil Aviation Authority

108
Table A-66: Transport Statistics
Year
Railways Length of Roads (Km.)
Route
kilometers
Number of
Passengers
Carried
(Million)
Freight
Carried
(M.Tons)
Freight
Tone
kilometers
(Million)
Locom-
otives
(Nos.)
Freight
Wagons
(Nos.)
Total
High
Type
Low Type
2008-09 7,791 82.54 6.94 5,896 551 17,259 260200 177060 83140
2009-10 7791 74.93 5.83 4847 528 16499 260040 18090 79850
2010-11 7791 64.90 2.61 1757 528 18468 259463 180866 78597
2011-12 7791 41.90 1.30 403 522 17611 261595 181940 79655
2012-13 7791 42.00 1.00 419 493 16635 263415 182900 80515
2013-14 7791 48.00 1.00 1090 421 16179 263755 184120 79635
2014-15 7791 52.90 3.60 3301 458 15452 265404 188430 76974
2015-16 7791 52.19 5.00 4774 460 15164 265905 190355 75550
2016-17 7791 52.39 5.63 5031 455 16085 267002 193871 73131
2017-18 7791 54.91 8.35 8080 472 16159 268935 197452 71483
2018-19 7791 60.40 8.30 8304 472 16142 270971 201100 69872
Source:- Pakistan Economic Survey

109
Table A-67: Number of Motor Vehicles Registered
(000 Numbers)
Year
Motor Cars
Jeeps &
Station
Wagons
Motor
Cabs/
Taxis
Buses/
Mini
Buses
Trucks
Motor
Cycle
(2 wheels)
Motor Cycle/
Motor
Rickshaws
(3 Wheels)
Others Total
2001 1198.9 90.1 161.5 155.8 2283.4 107.6 786.9 4784.1
2002 1279.4 90.1 155.6 169.3 2341.1 120.6 814.2 4970.1
2003 1289.9 90.4 165.8 177.5 2379.3 127.4 834.4 5064.6
2004 1298.4 90.5 166.1 179.7 2609.4 138.2 848.7 5331.0
2005 1318.5 91.9 168.7 182.5 2649.9 101.1 861.9 5374.4
2006 1372.2 105.4 175.6 190.0 2757.8 136.4 896.0 5633.4
2007 1440.8 103.4 184.4 199.4 2895.7 143.2 940.9 5907.8
2008 1549.9 104.4 187.4 202.6 3039.8 156.1 961.6 6201.8
2009 1657.9 106.5 195.2 210.9 3215.6 167.9 1005.4 6559.4
2010 1726.3 122.9 198.8 216.1 4305.1 201.8 1081.9 7853.0
2011 1881.6 124.7 202.5 225.1 5782.0 266.4 1178.9 9661.0
2012 2094.3 143.9 215.3 240.9 7500.2 323.2 1270.8 11788.6
2013 2281.1 145.2 220.3 247.2 9169.5 380.6 1341.0 13784.9
2014 2437.7 145.4 224.4 253.6 11006.4 466.2 1406.8 15940.6
2015 2715.3 167.7 229.3 261.8 13081.4 559.1 1487.5 18502.1
2016 2932.6 170.8 235.5 269.3 15223.9 670.5 1555.3 21057.9
2017 (R) 3195.4 170.9 242.1 277.9 17507.7 761.4 1642.7 23798.2
2018 (R) 3494.0 171.1 249..0 284.7 19783.9 841.4 1724.4 26548.7
2019 (P) 3700.4 171.1 253.7 287.7 21926.5 915.8 1796.7 29051.9
(P) Provisional (R) Revised

110
Table A-68: Motor Vehicles on Road
(000 Number)
Year
Motor Cycles/
Scooters
Motor Cars Jeeps
Station
Wagons
Tractors Buses
2005-06 3,791.0 1,999.2 65.7 140.8 822.3 103.6
2006-07 4,463.8 1,682.2 85.4 169.1 877.8 108.4
2007-08 5,037.0 1,853,5 82.9 163.2 900.5 109.8
2008-09 5,368.0 2,029.1 79.0 155.6 911.7 111.1
2009-10 5,412.1 2,387.2 78.3 171.4 940.8 123.3
2010-11 5,468.8 2,822.2 78.5 175.2 970.9 125.6
2011-12 4,463.6 3,205.0 78.6 178.3 1068.0 138.2
2012-13 5,550.0 3,600.0 78.7 180.1 1,128.7 130.2
2013-14 6,100.0 4,600.0 60.0 185.0 1,228.0 140.0
2014-15 6405.0 4,820.0 64.0 191.0 1283.0 148.0
2015-16 6669.3 6131.7 54.2 192.0 1351.6 150.6
2016-17 11975.3 6954.0 69.6 201.9 1430.1 156.3
2017-18 14060.9 7183.5 80.0 206.6 1460.2 159.2
2018-19 14623.3 7470.8 83.2 214.9 1518.6 165.6
Year
Taxi Cabs
Taxis
Rickshaws
Delivery
Vans
Trucks Others Total
2005-06 122.1 77.8 143.3 151.8 166.8 7,084.5
2006-07 119.1 79.0 148.9 173.3 156.5 8,063.6
2007-08 129.8 89.3 163.5 177.8 171.0 8,878.5
2008-09 138.6 88.4 167.2 181.9 183.2 9,413.7
2009-10 146.4 89.1 170.4 200.5 167.2 9866.4
2010-11 154.6 89.8 173.6 209.5 175.2 10443.8
2011-12 158.7 102.4 176.6 230.5 185.2 11488.2
2012-13 160.7 120.5 180.0 220.5 226.7 11576.1
2013-14 168.8 108.0 181.0 240.0 231.6 13242.4
2014-15 178.0 112.0 190.0 252.0 242.6 13885.6
2015-16 186.5 118.1 191.4 263.8 259.6 15568.8
2016-17 197.4 122.0 204.2 276.2 271.6 21858.6
2017-18 197.7 128.1 210.1 280.0 301.7 24389.5
2018-19 205.6 133.2 218.5 291.2 313.8 25238.7

111
Table A-69: Post and Telecommunications
Year
Telephones
(000 Nos)
TV Sets
(000 Nos)
Mobile
Phone
(000 Nos)
No. of Post Offices Broad Band
subscribers
(000 Nos)
Urban Rural Total
2001-02 3,656 3,598 1,698.5 1,983 10,284 12,267 -
2002-03 4,940 3,716 2,404.4 1,808 10,446 12,254 -
2003-04 4,460 3,828 5,022.9 2,267 9,840 12,107 -
2004-05 5,191 6,763 12,771.2 1,831 10,499 12,330 -
2005-06 5,128 7,972 34,506.6 1,845 10,494 12,339 26.6
2006-07 4,806 9,004 63,160.9 1,849 10,494 12,343 45.2
2007-08 4,546 9,940 88,019.8 1,849 10,793 12,342 168.0
2008-09 3,523 10,557 94,342.0 1,852 10,514 12,366 413.8
2009-10 3,417 11,136 99,185.8 1,846 10,495 12,340 688.4
2010-11 5,720* 11,704 108,894.5 1,580 10,455 12,035 1491.5
2011-12 5,803* 12,491 120,151.2 1,797 10,238 12,035 2101.3
2012-13 6,371* 13,729 128,933.6 2,178 10,650 12,828 2723.7
2013-14 5,232* 14,245 139,974.8 1,813 10,264 12,077 3795.9 @
2014-15 3,931 - 114,658.4 1,813 10,264 12,077 16,885.5
2015-16 3,295 - 133,241.5 1,782 9,962 11,744 40,148.0
2016-17 2,986 - 139,758.1 2,046 9,450 11,496 44,586.7
2017-18 2,885 - 150,238.7 2,046 9,450 11,496 58,339.8
2018-19 2,575 - 161,021.6 1,717 8,352 10,069 71,026.1
Source:- Pakistan Economic Survey 2018-19
* Included Card pay phones - Not available
@ Includes dial-up and broadband connection.

112
Table A-70: Traffic Accidents
(Number)
Year
Total number
of accident
Accident Persons
Total Number of
Vehicles nvolved
Fatal Non- Fatal Killed Injured
Pakistan
2001-02 10,033 4,379 5,654 5,248 11,922 10,765
2002-03 9,377 4,045 5,332 4,813 10,643 10,100
2003-04 10,308 4,184 6,124 5,199 12,927 10,852
2004-05 9,896 4,250 5,646 5,112 12,401 10,912
2005-06 9,492 4,115 5,377 4,868 11,415 10,565
2006-07 10,466 4,535 5,931 5,465 12,875 11,481
2007-08 10,466 4,610 5,856 5,615 12,096 11,456
2008-09 9,496 4,145 5,351 4,907 11,037 10,322
2009-10 9,747 4,378 5,369 5,280 11,173 10,496
2010-11 9,723 4,280 5,443 5,271 11,383 10,822
2011-12 9,140 3,966 5,174 4,758 10,145 9,986
2012-13 8,988 3,884 5,104 4,719 9,710 9,876
2013-14 8,359 3,500 4,859 4,348 9,777 9,423
2014-15 7,865 3,214 4,651 3,,954 9,661 8,949
2015-16 9,100 3,591 5,509 4448 11,544 10,636
2016-17 9,582 4,036 5,546 5,047 12,696 11,317
2017-18 11,121 4,829 6,292 5,948 14,489 13,134
Balochistan
2001-02 345 101 244 129 351 395
2002-03 406 132 274 138 359 451
2003-04 415 141 274 148 420 469
2004-05 481 194 287 217 638 513
2005-06 520 206 314 254 741 594
2006-07 551 233 318 284 840 612
2007-08 490 236 254 314 914 578
2008-09 431 206 225 248 747 545
2009-10 379 193 186 245 496 444
2010-11 311 158 153 191 350 382
2011-12 324 139 185 161 480 374
2012-13 297 136 161 163 362 381
2013-14 342 173 169 247 480 434
2014-15 315 147 168 178 440 389
2015-16 357 178 179 207 504 470
2016-17 401 209 192 321 567 537
2017-18 496 259 237 313 624 715
Khyber Pakhtunkhwa
2001-02 2,459 641 1,818 720 2,790 2,633
2002-03 2,402 583 1,819 708 2,662 2,783
2003-04 2,728 652 2,076 919 3,735 2,956
2004-05 2,666 682 1,983 830 3,979 3,133
2005-06 2,732 716 2,016 875 4,006 3,366
2006-07 2,942 779 2,163 1,006 4,421 3,756
2007-08 2,893 755 2,138 942 3,884 3,634
2008-09 2,392 644 1,748 786 3,340 2,975
2009-10 2,559 712 1,847 921 3,560 3,128
2010-11 2,722 773 1,949 986 4,153 3,479
2011-12 2,772 785 1,897 953 3,913 3,501
2012-13 2,968 846 2,122 1,059 4,016 3,736
2013-14 3,120 877 2,243 1,033 4,257 3,934
2014-15 3,399 942 2,457 1,137 4,524 4,260
2015-16 4,287 1,083 3,204 1,299 5,527 5,490
2016-17 4,256 1,103 3,153 1,317 5,804 5,736
2017-18 4,425 1,119 3,306 1,295 6,093 6,052
Contd…

113
Table A-70: Traffic Accidents
(Number)
Year
Total number
of accidents
Accident Persons Total Number
of vehicles
involved
Fatal Non- Fatal Killed Injured
Punjab
2001-02 5,270 2,641 2,629 3,214 6,804 5,523
2002-03 4,771 2,386 2,385 2,884 6,159 5,008
2003-04 5,015 2,407 2,608 2,977 6,714 5,195
2004-05 4,969 2,447 2,522 2,988 6,418 5,175
2005-06 4,431 2,105 2,326 2,500 5,408 4,571
2006-07 5,355 2,591 2,764 3,096 6,311 5,355
2007-08 5,522 2,721 2,801 3,293 6,163 5,522
2008-09 5,240 2,471 2,769 2,912 5,790 5,240
2009-10 5,344 2,590 2,754 3,083 5,856 5,344
2010-11 5,420 2,591 2,829 3,167 5,809 5,420
2011-12 4,990 2,361 2,629 2,888 5,071 4,990
2012-13 4,587 2,213 2,374 2,692 4,515 4,587
2013-14 3,696 1,717 1,979 2,145 3,941 3,696
2014-15 3054 1435 1619 1750 3652 3054
2015-16 3288 1576 1712 2053 4550 3288
2016-17 3819 1989 1830 2494 5231 3819
2017-18 5093 2708 2385 3371 6772 5093
Sindh
2001-02 1,959 996 963 1,185 1,977 2,214
2002-03 1,798 944 854 1,083 1,463 1,858
2003-04 2,150 984 1166 1,155 2,058 2,232
2004-05 1,780 926 854 1,077 1,366 2,091
2005-06 1,809 1,088 721 1,239 1,260 2,034
2006-07 1,618 932 686 1,079 1,303 1,758
2007-08 1,561 898 663 1,066 1,135 1,722
2008-09 1,433 824 609 961 1,160 1,562
2009-10 1,465 883 582 1,031 1,261 1,580
2010-11 1,270 758 512 927 1071 1,541
2011-12 1,054 681 373 756 681 1,121
2012-13 935 582 353 696 637 960
2013-14 945 613 332 791 893 1,103
2014-15 881 583 298 771 863 1,029
2015-16 924 634 290 749 754 1,144
2016-17 880 608 272 786 970 1,009
2017-18 848 586 262 802 838 1,015
Source:- Crime Branch of Provincial Police Departments.

114
Table A-71: River In-flow at Rim Stations in Pakistan
(Million Acre Feet)
Year
Indus at Kalabagh U/S Jhelum at Mangla U/S Chenab at Marala U/S
Kharif Rabi Total Kharif Rabi Total Kharif Rabi Total
1996-97 - - - 24.93 4.11 29.04 27.48 4.41 31.89
1997-98 - - - 16.96 7.06 24.02 21.74 6.55 28.29
1998-99 - - - 18.11 3.61 21.72 23.16 4.78 27.94
1999-00 - - - 11.24 3.19 14.43 18.70 4.35 23.05
2000-01 - - - 10.27 2.28 12.55 17.20 2.73 19.93
2001-02 - - - 8.23 3.66 11.89 16.00 2.90 18.90
2002-03 - - - 12.31 5.10 17.41 18.02 5.47 23.49
2003-04 - - - 17.67 5.00 22.67 21.50 4.36 25.86
2004-05 - - - 11.74 6.72 18.46 14.90 6.41 21.31
2005-06 - - - 17.71 5.46 23.17 21.12 4.02 25.14
2006-07 - - - 16.43 6.78 23.21 21.38 6.33 27.71
2007-08 - - - 13.51 4.18 17.69 16.98 3.62 20.60
2008-09 65.89 13.51 79.40 13.38 5.88 19.26 16.21 3.61 19.82
2009-10 68.18 13.22 81.40 16.48 4.57 21.05 14.46 3.39 17.85
2010-11 91.18 14.51 105.69 20.31 5.42 25.73 21.02 4.78 25.80
2011-12 65.85 10.93 76.78 15.28 4.17 19.45 18.84 3.60 22.44
2012-13 66.27 15.39 81.66 14.70 5.38 20.08 17.14 4.43 21.57
2013-14 82.38 14.88 97.26 15.22 5.07 20.29 18.70 4.45 23.15
2014-15 65.88 15.52 81.40 19.93 6.39 26.32 21.14 5.47 26.61
2015-16 83.20 17.76 100.96 20.71 7.87 28.58 22.83 4.48 27.31
2016-17 76.74 13.93 90.67 15.15 4.57 19.72 18.05 3.98 22.03
2017-18 72.32 11.94 84.26 15.80 2.41 18.21 20.71 2.84 23.55
Year
Ravi Component at Balloki (a) Sutlej Component at Sulemanki (b)
Kharif Rabi Total Kharif Rabi Total
1996-97 5.14 0.47 5.61 2.48 0.46 2.94
1997-98 3.91 1.99 5.90 1.79 1.68 3.47
1998-99 3.40 1.20 4.60 4.08 3.58 7.66
1999-00 0.97 0.26 1.23 1.15 0.17 1.32
2000-01 0.56 0.11 0.67 0.30 0.10 0.40
2001-02 0.93 0.43 1.36 0.01 0.01 0.02
2002-03 0.41 0.45 0.86 0.00 0.03 0.03
2003-04 0.93 0.09 1.02 0.02 0.09 0.11
2004-05 0.39 0.40 0.79 0.00 0.04 0.04
2005-06 0.70 0.14 0.84 0.31 0.04 0.35
2006-07 1.16 0.32 1.48 0.07 0.08 0.15
2007-08 0.81 0.23 1.04 0..16 0.04 0.20
2008-09 1.58 0.26 1.84 2.17 0.02 2.19
2009-10 0.11 0.18 0.29 0.00 0.01 0.01
2010-11 1.39 0.66 2.05 1.87 0.38 2.25
2011-12 1.48 1.08 2.56 3.57 0.22 3.79
2012-13 0.97 0.64 1.61 0.15 0.02 0.17
2013-14 3.79 0.98 4.77 2.10 0.05 2.15
2014-15 2.60 1.10 3.70 0.13 0.07 0.20
2015-16 3.00 0.94 3.94 2.02 0.14 2.16
2016-17 1.67 0.79 2.46 0.12 0.23 0.35
2017-18 2.20 0.63 2.83 0.40 0.95 1.35
Source:-Water and Power Development Authority (WAPDA).
(a) Ravi at Balloki (Above)-UCC Tail-MR Tail-QB Trail.
(b) Sutlej at Suleimanki (Above)- BS-I & II Tails.

115
Table A-72: Population Served with Water Supply and Sanitation Facilities in WASA Area,
District Lahore
Description Unit 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Population in WASA area Million 6.665 7.000 7.200 7.400 7.900 7.900
Population served with
pipe water supply Million 5.932 6.200 6.800 7.100 7.700 7.700
Percentage of Total Population
within WASA area l % 89.0 89 95 96 98 98
Quantum of Water
Supply(Daily)
Million
Gallons 410 435 475 500 540 540
Population Served with
Sewerage & Drainage Million 5.955 6.200 6.700 7.00 7.700 7.700
Facilities Percentage of
Total population % 89.3 89 94 95 98 98
Per Person Supply GPCD 69 70 70 70 70 70
Source:- Water and Sanitation Agency (WASA), Lahore

116
Table A-73: Population Served with Water Supply, Sewerage and Drainage Facilities of Various
Cities
Particulars Unit 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Rohri
1. Total Population(approx.) Thousand 53.799 53.868 87.688 89.556 91.464 93.412
2. Population Served with
Pipe Water Supply Thousand 53.799 53.868 82.679 82.679 82.679 82.679
3. Percentage of Total
Population % 100 100 94 92 90 89
4. Quantum of water
Supply (daily)
Million
Gallons 1.614 1.676 2.480 2.480 2.480 2.480
Sewerage & Drainage
Facilities. Thousand 53.799 53.868 28.679 82.679 82.679 82.679
Population % 100 100 94 92 90 89
Tando Allahyar
Population % 59.9 53.689 53 51 50 48
4. Quantum of water
Supply (daily)
Million
Gallons 2.715 2.715 2.715 2.715 2.715 2.715
Sewerage & Drainage
Population % 100 100 97 94 91 89
Umar Kot
Population % 100 100 100 100 100 100
4. Quantum of water
Supply (daily)
Million
Gallons 1.976 2.052 2.120 2.192 2.266 2.342
Sewerage & Drainage
Population % 70 70 90 90 90 90
Contd…

117
Table A-73: Population Served with Water Supply, Sewerage and Drainage Facilities of Various
Cities
Particulars Unit 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Thull
1. Total Population(approx.) housand 53.799 53.868 55.145 56.452 57.790 59.160
Population % 100 100 100 100 100 100
4. Quantum of water
Supply (daily)
Million
Gallons 1.552 1.614 1.654 1.694 1.733 1.774
Sewerage & Drainage
Population % 100 100 100 100 100 100
Kotri
3. Percentage Of Total
Population % 100 100 100 100 100 100
4. Quantum Of Water Supply
(Daily )
Million
Gallons 3.435 3.567 3.671 3.721 3.828 3.941
5. Population Served With
Sewerage and Drainage
Facilities Thousand 114.494 118.898 122.393 124.024 127.622 131.374
Population % 100 100 100 100 100 100
Faisalabad
1. Total Population(approx.) Thousand 3200 3240 3305 3372 3400 3468
Pipe Water Supply Thousand 19200 19500 2313 2360 2380 2428
Population % 60 60.18 70 70 70 70
4. Quantum Of Water Supply
(Daily )
Million
Gallons 62 66 95 110 110 110
5. Population Served With
Sewerage and Drainage
Facilities Thousand 2304 2350 2380 2427 2448 2496
Population % 72 72.53 72 72 70 72
Source:- 1. Public Health Engineering Research Laboratory, Hyderabad.
2. Faisalabad Development Authority

118
Table A-74: Distance to Water Source by Province and Source, PSLM 2019
Province and
Water source
Percentage of Households
Inside The
House
0-0.5
Km
0.5-1
km
1-2
Km
2-5
Km
Over
5 Km
Punjab
Tap water 15.3 4.2 3.4 1.0 .0 .0
Hand pump 25.1 12.1 22.4 43.5 42.7 23.7
Motor Pump 55.1 26.1 7.7 17.0 3.3 3.2
Dug well closed .2 .5 .1 .0 .0 .0
Dug well Open .0 .2 .5 .2 .0 .0
Spring Protected .0 .2 .3 .5 .0 .0
River/Pond/Canal/Stream .0 1.0 .0 1.6 1.7 .0
Bottled Water .3 1.4 2.6 1.4 6.4 1.9
Tanker/Truck/Water Bearer 3.6 3.6 3.4 2.0 10.0 27.1
Filtration Plant .2 49.8 58.4 32.2 34.2 40.3
Others .0 .6 .3 .7 1.3 3.8
Total 100.0 100.0 100.0 100.0 100.0 100.0
Sindh
Tap water 41.2 5.8 7.1 .6 1.3 2.2
Hand pump 36.9 42.8 28.3 17.3 4.9 .0
Motor Pump 16.3 8.2 2.5 .3 1.8 .7
Dug well closed 1.5 2.4 .4 1.1 .0 1.4
Dug well Open .0 4.8 5.4 22.0 1.8 6.3
River/Pond/Canal/Stream .0 7.8 9.8 7.8 2.8 .0
Bottled Water 1.8 18.6 33.2 20.5 23.6 32.9
Tanker/Truck/Water Bearer 1.9 1.4 4.8 27.5 58.8 54.9
Filtration Plant .3 5.7 4.6 2.1 .9 1.5
Others .0 1.9 3.1 .8 3.4 .0
Total 100.0 100.0 100.0 100.0 100.0 100.0
Tap water 28.5 10.8 .9 .0 .0 .0
Hand pump 14.4 6.7 2.3 3.8 3.9 15.0
Motor Pump 39.7 25.1 14.6 1.6 1.8 .0
Dug well closed 5.7 7.5 8.4 1.7 .0 6.2
Dug well Open 3.3 9.7 7.2 8.7 3.3 .0
Spring Protected 2.0 4.2 4.4 .0 .0 .0
Spring Protected 5.8 18.3 42.9 50.8 11.8 11.8
River/Pond/Canal/Stream .0 13.3 16.6 22.6 61.2 22.2
Bottled Water .0 .1 .0 .0 .0 .0
Tanker/Truck/Water Bearer .7 1.7 .0 10.1 12.4 44.9
Filtration Plant .0 .8 1.9 .7 .0 .0
Others .0 1.7 .8 .0 5.5 .0
Total 100.0 100.0 100.0 100.0 100.0 100.0
Contd..

119
Table A-74: Distance to Water Source by Province and Source, PSLM 2018-2019
Province and
Water source
Percentage of Households
Inside The
House
0-0.5
Km
0.5-1
km
1-2
Km
2-5
Km
Over
5 Km
Balochistan
Tap water 51.1 4.9 1.2 .0 .0 .0
Hand pump 5.3 11.2 5.0 4.0 .0 .0
Motor Pump 18.9 35.4 36.4 36.2 10.2 .0
Dug well closed 5.0 9.2 2.2 2.7 17.2 .0
Dug well Open 2.2 2.7 7.5 .0 .0 1.2
Spring Protected .3 1.4 2.0 5.2 .0 .0
Spring Protected .5 2.6 11.1 13.0 3.6 5.7
Bottled Water .0 1.6 1.6 3.7 28.6 27.9
Tanker/Truck/Water
Bearer
16.7 10.5 9.6 25.1 38.6 36.1
Filtration Plant .0 .2 .6 .9 .0 .0
Others .0 1.4 1.2 .0 .0 .0
Total 100.0 100.0 100.0 100.0 100.0 100.0
Pakistan
Tap water 24.7 5.3 3.5 .7 .5 1.0
Hand pump 25.5 18.0 18.5 31.5 23.8 8.7
Motor Pump 42.3 22.6 11.7 13.6 3.2 1.4
Dug well closed 1.6 2.1 1.5 .6 1.3 1.2
Dug well Open .6 2.3 3.3 5.3 .8 3.1
Spring Protected .3 .8 1.1 .7 .0 .0
Spring Protected 1.0 2.4 7.5 6.1 1.5 1.7
Bottled Water .6 4.9 8.3 5.1 13.7 19.8
Tanker/Truck/Water
Bearer
3.2 3.3 4.1 9.4 29.3 42.8
Filtration Plant .2 32.7 32.2 20.9 17.8 13.5
Others .0 1.0 1.0 .6 2.2 1.2
Total 100.0 100.0 100.0 100.0 100.0 100.0
Source:- Pakistan Social & Living Standards Measurement Survey, PBS
Note: Totals for columns may not add up to 100 because of rounding
* In PSLM survey 2018-19 FATA included in KP.

120
Table A-75: Municipal Solid Waste Disposal System (Transportation) at Selected Cities
during 2019
Type of Vehicles
Selected cities by number of vehicles
Peshawar Bannu Faisalabad Gujranwala Lahore Bahawalpur
Donkey Carts 0 0 250 0 - 0
Bullock Carts 0 0 0 - 0
Compactor 43 1 16 10 237 14
Chain Arm Roll 23 0 28 0 84 4
Mini Dumper 151 0 08 43 147 40
Dumper 0 0 36 0 62 10
Trailer 0 0 - 0 14 0
Excavators 2 0 1 0 2 0
Mechanical Washer 2 0 2 1 14 1
Suzuki Pickup 0 5 48 2 108 0
Bolan 1 0 8 2 54 3
Mini Bus 0 0 - 0 10 0
Tractor Trolleys 35 6 6 48 0 11
Truck 0 0 - 26 1 0
Tractor Loader/Loader 0 2 21 11 64 6
Vacum Sweeper 0 0 - 2 95 0
Mec. Road sweeper 8 0 7 2 0 2
Mazda Compactor 0 0 - 0 0 0
Showel 0 0 2 0 0 0
Water Lorries 8 2 15 2 11 0
Dumpers 0 0 - 0 0 0
Mech Loader 8 2 - 0 0 0
Multi Loader 6 0 - 0 0 0
Master High land pickup 0 0 - 0 0 0
Source:- Tehsil Municipal Administration of each district

121
Table A-76: Municipal Solid Waste Disposal System (by Number of Employees) at selected cities
during 2019
Name of cities Zone/Sectors
Supervisory
Staff
Supervisors
Working
Staff
Sweeper/
Sanitary
workers
Total staff
Col.(3+5)
1 2 3 4 5 6 7
Peshawar 4 36 1 1779 1414 1815
Bannu 7 7 7 267 64 274
Faisalabad 39 209 157 4035 3976 4244
Gujranwala 11 2(5.1) 29 1384 1415
Lahore 27 41 331 8435 8435 8476
Bahawalpur 3 30 443 450 923
Table A-77: Municipal Solid Waste Disposal System (Sanitary Landfill/Dumps) at selected cities
during 2019
Name of City
Existing Dumps Proposed land,
fill/site
Number Size
Peshawar 1 817 Kanals Nil
Bannu
1 50 Kanals NIL
Gujranwala
2 06 Acres
03 Acres
Bakhrewali
Faisalabad 01 45 Acre 01, 150 Acre
Lahore
1 (Lakhodair
Landfill/Dumsite 190.7 Acres
Khara, District Kasur** (150
Acres/Approx)
Bahawalpur 1 25 Acres
Moza Nao Abad 87 Acre

122
Table A-78: Garbage Collection System from the Household by Province
Province and Garbage
Collection Syste
2013-14 2018-19
Urban Rural Overall Urban Rural Overall
Punjab
Municipality 48 2 17 49.7 1.6 19.7
Privately 9 4 6 10.2 2.7 5.5
No Formal System 43 94 77 40.0 95.7 74.8
Total 100 100 100 100.0 100.0 100.0
Sindh
Municipality 33 2 18 49.8 2.0 27.8
Privately 23 2 13 13.1 1.0 7.5
No Formal System 44 97 69 37.0 96.9 64.6
Total 100 100 100 100.0 100.0 100.0
Municipality 66 1 13 51.3 1.1 9.4
Privately 2 0 1 1.9 1.4 1.5
No Formal System 32 99 86 46.9 97.5 89.0
Total 100 100 100 100.0 100.0 100.0
Balochistan
Municipality 21 1 6 20.2 2.3 7.4
Privately 5 6 5 1.8 1.2 1.4
No Formal System 74 93 89 77.9 96.5 91.3
Total 100 100 100 100.0 100.0 100.0
Pakistan
Municipality 43 2 17 48.9 1.6 19.6
Privately 14 3 7 10.4 2.1 5.2
No Formal System 43 95 76 40.8 96.3 75.2
Total 100 100 100 100.0 100.0 100.0
Source:- Pakistan Social and Living Standard Measurement Survey, PBS.
Note:-
1. Household reporting the garbage collection system indicated for their household expressed as percentage of the
total number of households.
2. Total may not add to 100 because of rounding

123
Table A-79: Type of Sanitation System Used-by Province
Province and
Sanitation System
2013-14 PSLM 2018-19 PSLM
Urban Rural Overall Urban Rural Overall
Punjab
Underground Drains 56 5 23 58.0 6.2 25.6
Covered Drains 4 5 5 6.6 3.0 4.4
Open Drains 35 48 44 29.4 48.9 41.6
No system 5 41 29 6.0 42.0 28.4
Total 100 100 100 100.0 100.0 100.0
Sindh
Covered Drains 1 0 1 16.1 1.4 9.3
Open Drains 23 10 17 28.0 19.2 23.9
No system 3 84 41 8.3 75.6 39.3
Total 100 100 100 100.0 100.0 100.0
Covered Drains 2 1 1 8.6 1.5 2.7
Open Drains 83 39 47 66.3 40.6 44.9
No system 9 60 51 16.5 55.8 49.2
Total 100 100 100 100.0 100.0 100.0
Balochistan
Covered Drains 7 2 3 14.7 3.4 6.6
Open Drains 40 13 20 46.5 19.2 26.9
No system 21 84 67 23.0 75.0 60.4
Total 100 100 100 100.0 100.0 100.0
Pakistan
Covered Drains 3 3 3 10.1 2.5 5.4
Open Drains 34 38 36 31.8 40.7 37.3
No system 5 55 37 8.0 52.1 35.3
Total 100 100 100 100.0 100.0 100.0
Note: - 1. Households connected to the drainage system indicated, expressed as a percentage
of the total number of households.
3. Totals may not add to 100 because of rounding

124
Table A-80: Daily Analysis of Air Quality at Jail Road Lahore- 1st July 2019
Time (Hours)
PM10
Ug/m3
PM 2.5
ug/m3
CO
mg/m3
NO2
ug/m3
No
ug/m3
O3
ug/m3
SO2
ug/m3
12:00 AM 138.77 35.4 6.12 109.65 8.35 40.16 16.16
1:00 AM 138.02 33.92 6.8 150.99 25.21 6.21 11.17
2:00 AM 120.4 31.8 5.62 148.78 19.15 9.05 11.11
3:00 AM 122.59 36.28 6.58 133.16 83.85 9.88 12.36
4:00 AM 126.78 37.93 7.71 130.33 118.6 9.87 17.26
5:00 AM 122.44 38.64 4.88 88.17 20.24 8.56 15.82
6:00 AM 128.9 39.75 4.39 76.43 15.33 12.91 21.45
7:00 AM 121.55 39.61 3.96 54.5 9.31 38.66 24.95
8:00 AM 122.05 40.39 4.05 51.59 8.15 80.34 30.72
9:00 AM 114.77 35.59 3.79 35.01 7.2 118.32 35.08
10:00 AM 106.67 34.17 3.6 31.79 8.87 138.32 33.86
11:00 AM 96.92 22.79 3.24 16.4 6.37 153.72 10.65
12:00 PM 104.92 25.71 3.16 13.85 6.53 169 7.73
1:00 PM 113.81 25.4 3.24 16.93 7.52 180.29 6.5
2:00 PM 119.89 27.11 3.18 15.88 6.89 179.64 6.58
3:00 PM 137.47 31.58 3.28 21.99 7.75 148.18 2.9
4:00 PM 139.35 31.48 3.06 22.1 7.15 172.36 3.93
5:00 PM 126.89 31.08 2.87 19.98 6.85 166.72 4.08
6:00 PM 134.33 31.27 3.12 35.02 8.06 161.18 4.82
7:00 PM 1070 100.01 5 88.03 -32 98.26 13.04
8:00 PM 329.13 47.57 3.66 32.68 6.79 137.27 1.84
9:00 PM 73.93 20.48 4.02 59.16 7.75 113.2 -1.73
10:00 PM 54.31 21.23 4.39 49.99 -14.8 104.11 6.78
11:00 PM 65.27 22.24 4.32 68.57 6.45 86.26 3.56
Source: Environment Protection Department, Govt. of Punjab, Lahore

125
Table A- 81: Daily Quality Monitoring Report of Ambient Air of Various Cities of Punjab During
November 2018
Parameter Description/
Location
Date
Respirable
Particulate
Matter
(PM10)
Ug/m3
Respirable
Particulate
Matter
(PM2.5)
Ug/m3
Nitrogen
Oxides as
(NO)
Ug/m3
Nitrogen
Oxides as
(NO2)
Ug/m3
Sulphure
Dioxide
(SO2)
Ug/m3
Ozone
(O3)
Ug/m3
1 2 3 4 5 6 7 8
PEQS 150 35 40 80 120 130
Dental College
AQMS, Lahore 8-11-2018 SNO 200.563 SNO SNO 6.706 SNO
Lahore Met office
AQMS
8-11-2018
347.206 167.385 SNO SNO 41.111 54.241
Multan
AQMS
8-11-2018
SNO SNO 13.863 62.937 12.114 SNO
Faisalabad
AQMS
8-11-2018
624.147 167.618 125.476 49.055 33.438 SNO
Gujranwala
AQMS
8-11-2018
SNO SNO 31.311 62.468 19.240 SNO
Dental College
AQMS, Lahore 12-11-2018 SNO 216.128 SNO SNO 5.798 SNO
Lahore Met office
AQMS
12-11-2018
214.031 163.258 SNO SNO 38.215 27.341
Multan
AQMS
12-11-2018
SNO SNO 8.117 52.704 9.068 SNO
Faisalabad
AQMS
12-11-2018
298.374 148.230 64.012 57.488 34.956 SNO
Gujranwala
AQMS
12-11-2018
SNO SNO 25.466 48.876 9.847 SNO
Dental College
AQMS, Lahore 15-11-2018 SNO 79.361 13.757 40.495 23.822 SNO
Lahore Met office
AQMS
15-11-2018
133.195 94.047 73.774 43.203 30.691 27.938
Multan
AQMS
15-11-2018
SNO SNO 33.000 73.871 9.345 SNO
Faisalabad
AQMS
15-11-2018
214.884 98.171 57.917 27.595 11.855 SNO
Gujranwala
AQMS
15-11-2018
SNO SNO 12.773 31.902 5.352 SNO
Dental College
Lahore Met office
AQMS
17-11-2018
160.225 117.175 117.691 139.280 41.648 36.180
Multan
AQMS
17-11-2018
SNO SNO 83.119 93.559 10.793 SNO
Faisalabad
AQMS
17-11-2018
217.699 113.097 81.849 30.100 12.494 SNO
Gujranwala
AQMS
17-11-2018
SNO SNO 12.451 39.162 4.638 SNO
Dental College
Lahore Met office
AQMS 19-11-2018 184.067 144.305 125.274 149.733 49.295 30.238
Contd…

126
Table A- 81: Daily Quality Monitoring Report of Ambient Air of Various Cities of Punjab During
November 2018
Parameter Description/
Location
Date
Respirable
Particulate
Matter
(PM10)
Ug/m3
Respirable
Particulate
Matter
(PM2.5)
Ug/m3
Nitrogen
Oxides as
(NO)
Ug/m3
Nitrogen
Oxides as
(NO2)
Ug/m3
Sulphure
Dioxide
(SO2)
Ug/m3
Ozone
(O3)
Ug/m3
1 2 3 4 5 6 7 8
Faisalabad
AQMS
19-11-2018
254.496 144.982 51.825 49.702 18.341 SNO
Gujranwala
AQMS
19-11-2018
SNO SNO 66.108 65.784 17.812 SNO
Dental College
Lahore Met office
AQMS
20-11-2018
190.827 152.729 98.581 157.672 39.817 34.255
Multan
AQMS
20-11-2018
SNO SNO 95.676 110.161 6.801 SNO
Faisalabad
AQMS
20-11-2018
250.490 92.306 60.050 37.608 20.462 SNO
Gujranwala
AQMS
20-11-2018
SNO SNO 32.684 56.206 14.994 SNO
Dental College
Lahore Met office
AQMS
23-11-2018
105.741 71.233 24.199 76.201 24.540 33.292
Multan
AQMS
23-11-2018
SNO SNO 29.235 48.410 3.794 SNO
Faisalabad
AQMS
23-11-2018
175.635 65.028 34.502 28.894 18.200 SNO
Gujranwala
AQMS
23-11-2018
SNO SNO 2.209 26.223 7.398 SNO
Dental College
Lahore Met office
AQMS
26-11-2018
216.549 182.419 445.072 206.021 44.934 51.770
Multan
AQMS
26-11-2018
SNO SNO 52.657 83.365 4.747 SNO
Faisalabad
AQMS
26-11-2018
346.652 122.562 106.238 45.511 24.102 SNO
Gujranwala
AQMS
26-11-2018
SNO SNO 87.353 64.819 23.403 SNO
Dental College
Lahore Met office
AQMS
30-11-2018
127.412 115.281 287.211 142.473 50.671 33.253
Multan
AQMS
30-11-2018
SNO SNO 40.434 96.852 7.513 SNO
Faisalabad
AQMS
30-11-2018
206.292 85.477 51.516 30.626 13.518 SNO
Gujranwala
AQMS
30-11-2018
SNO SNO 134.478 57.889 11.881 SNO
Source:- Environment Protection Agency Laboratories Govt. of Punjab, Lahore.

127
Table A- 82: Month wise Analysis of Air Quality at Town Hall
Month
NO
ug/m3
NO2
ug/m3
NOx
ppm
CO
mg/m3
So2
ug/m3
O3
ug/m3
1 2 3 4 5 6 7
August, 2019 7.138 20.7142 0.0151 1.324 32.3329 19.2127
September, 2019 17.7668 22.3882 0.0237 3.572 26.2324 33.6104
October, 2019 50.3406 28.688 0.0486 8.5831 56.1992 34.9182
November, 2019 56.9108 31.4568 0.0548 8.2727 60.5638 33.2947
December, 2019 54.319 23.7014 0.0472 7.5473 74.1275 31.4317
January, 2020 83.3833 23.115 0.0634 8.9118 - 32.7964
February, 2020 79.5801 28.2596 0.062 8.6072 15.348 39.9349
March, 2020 40.2031 24.978 0.0394 6.3261 12.247 40.6995
April, 2020 25.0702 26.8402 0.0312 5.6623 10.6478 41.9859
May, 2020 21.7134 28.5079 0.0299 6.2879 - 46.1005
Source:- Environmental Protection Agencey, Lahore

128
Table A-83: Tide Data off Seashore Karachi
(Metres)
Month
2014 2015 2016
Av. high
water
Av. low
Water
Mean sea
level
Av. high
water
Av. low
water
Mean sea
level
Av. high
water
Av. low
water
Mean sea
level
January 2.63 0.72 1.68 2.6 0.75 1.68 2.67 0.88 1.78
February 2.61 0.77 1.69 2.63 0.74 1.69 2.72 0.86 1.79
March 2.66 0.75 1.70 2.61 0.79 1.70 2.71 0.90 1.81
April 2.64 0.81 1.73 2.63 0.81 1.72 2.74 0.92 1.83
May 2.66 0.77 1.70 2.65 0.85 1.75 2.76 0.93 1.85
June 2.68 0.83 1.75 2.67 0.83 1.75 2.80 0.91 1.86
July 2.69 0.76 1.72 2.70 0.76 1.73 2.80 0.86 1.83
August 2.66 0.70 1.68 2.70 0.66 1.68 2.77 0.79 1.78
September 2.60 0.68 1.64 2.63 0.64 1.64 2.71 0.76 1.74
October 2.50 0.71 1.62 2.59 0.66 1.63 2.66 0.78 1.72
November 2.53 0.73 1.63 2.53 0.73 1.63 2.62 0.83 1.73
December 2.56 0.74 1.65 2.54 0.77 1.66 2.64 0.86 1.75
Month
2017 2018 2019
Av. high
water
Av. low
water
Mean sea
level
Av. high
water
Av. low
water
Mean sea
level
Av. high
water
Av. low
water
Mean sea
Level
January 2.69 0.86 1.78 2.72 0.84 1.78 2.67 0.88 1.78
February 2.70 0.87 1.79 2.70 0.88 1.79 2.73 0.85 1.79
March 2.76 0.85 1.81 2.76 0.86 1.81 2.70 0.91 1.81
April 2.76 0.90 1.83 2.74 0.91 1.83 2.72 0.93 1.83
May 2.74 0.92 1.83 2.75 0.94 1.85 2.73 1.02 1.88
June 2.79 0.91 1.85 2.77 0.94 1.86 2.76 0.96 1.86
July 2.77 0.88 1.83 2.78 0.87 1.83 2.77 0.87 1.82
August 2.74 0.84 1.79 2.76 0.81 1.79 2.78 0.78 1.78
September 2.68 0.80 1.74 2.71 0.78 1.75 2.73 0.73 1.73
October 2.63 0.82 1.73 2.64 0.81 1.73 2.67 0.77 1.72
November 2.63 0.83 1.73 2.62 0.84 1.73 2.6 0.86 1.72
December 2.67 0.84 1.76 2.64 0.86 1.75 2.6 0.91 1.76
Source:- National Institute of Oceanography Karachi

129
Table A-84: Films Released by Language
(Number)
Year
Number of films released
Total Urdu Sindhi Punjabi Pushto Sariaiki Gujrati
1995 64 27(a) - 14 23 - -
1996 70 30(a) 2 12 26 - -
1997 68 38(a) 1 9 20 - -
1998 51 29 (a) - 5 17 - -
1999 51 28 - 6 17 - -
2000 61 31 - 15 15 - -
2001 49 27 - 19 3 - -
2002 53 18 - 28 7 - -
2003 43 15 - 17 11 - -
2004 43 7 - 16 20 - -
2005 42 11 - 11 20 - -
2006 42 8 - 12 22 - -
2007 39 10 - 15 14 - -
2008 35 7 - 12 16 - -
2009 23 5 - 9 9 - -
2010 18 3 - 7 8 - -
2011 24 6 - 4 12 2 -
2012 22 - - 6 16 - -
2013 31 8 - 5 18 - -
2014 42 15 3 8 14 2 -
2015 51 22 3 8 14 4 -
2016 64 34 2 9 13 6
2017 44 33 - 3 8 -
2018 25 15 - 2 8 -
Source:- Pakistan Film Producer's Association
(a) It also includes the films produced in urdu & punjabi double version.

130
Table A-85: Documentary Films Produced/Released
(Number)
Year
Federal Punjab Sindh
No. of
Films
Produced
No .of
Films
Released
No. of
Films
Produced
No. of
Films
Released
No. of
Films
Produced
No. of
Films
Released
2004-05 1 1 9 8 - -
2005-06 1 1 9 8 - -
2006-07 - - 7 5 4 4
2007-08 5 - 4 4 - -
2008-09 1 1 1 - - -
2009-10 - - - - - -
2010-11 7 6 - - - -
2011-12 7 7 - - - -
2012-13 5 4 - - - -
2013-14 1 1 - - - -
2014-15 7 6 -
2015-16 12 11 - - - -
2016-17 4 4 - - - -
2017-18 4 4 - - - -
Year
Khyber Pakhtunkhwa Balochistan
No .of Films
Produced
No .of Films
Released
No .of Films
Produced
No. of Films
Released
2004-05 - - - -
2005-06 - - - -
2006-07 - - - -
2007-08 - - - -
2008-09 - - - -
2009-10 - - - -
2010-11 - - - -
2011-12 - - - -
2012-13 - - - -
2013-14 - - - -
2014-15 - - - -
2015-16 - - - -
2016-17 - - - -
2017-18 - - - -
Source: i. Ministry of Information & Broadcasting (Central) Karachi
ii. Provincial Public Relation Departments

131
Table A-86: Dramas and Plays Produced/Released
(Number)
Year
On Television On Radio
Produced Telecasted Produced Broadcasted
1999 614 565 173 456
2000 636 587 260 605
2001 688 486 137 363
2002 759 552 206 561
2003 561 521 666 826
2004 550 510 140 362
2005 535 471 195 515
2006 433 345 214 1148
2007 629 595 704 2438
2008 324 324 98 280
2009 219 219 105 290
2010 644 479 95 280
2011 508 383 81 270
2012 420 389 75 263
2013 357 357 Nil Nil
2014 261 263* Nil Nil
2015 195 217* Nil Nil
2016 469 505* Nil Nil
2017 276 269 Nil Nil
2018 251 236 Nil Nil
2019 208 193 Nil Nil
*= Episodes of Serial/Series were repeat telecast from previous years Production.
Source:- i) Pakistan Television Corporation Limited
ii) Pakistan Broadcasting Corporation Limited

132
Table A-87: Cinemas and Seating Capacity therein by Province
(Number)
Years Pakistan Balochistan
Khyber
Pakhtunkhwa
Punjab Sindh
Cinemas
2005-06 286 8 28 199 51
2006-07 287 8 35 184 60
2007-08 245 9 30 143 63
2008-09 203 4 22 123 54
2009-10 133 8 17 87 21
2010-11 107 11 11 70 15
2011-12 85 1 10 59 15
2012-13 115 1 11 69 32
2013-14 109 1 10 61 37
2014-15 111 2 12 70 27
2015-16 92 2 12 55 26
2016-17 (R) 92 2 12 55 26
2017-18 116 2 10 87 23
2018-19 72 1 - 59 12
Seating Capacity of Cinemas
2005-06 159,789 3,722 12,521 106,670 36,876
2006-07 162,864 3,722 20,200 101,134 37,808
2007-08 159,157 5,120 21,812 96,274 35,951
2008-09 124,980 2,400 15,650 77,200 29,730
2009-10 37,860 3,600 10,000 15,400 8,860
2010-11 60,500 4,100 7,250 39,700 9,450
2011-12 42,900 500 4,400 29,400 8,600
2012-13 48,350 800 8,150 30,400 9,000
2013-14 47,850 550 6,500 28,600 12,200
2014-15 79,950 1,500 9,700 47,750 21,000
2015-16 42,000 1,250 7,750 24,200 8,800
2016-17 (R) 42,000 1,250 7,750 24,200 8,800
2017-18 44,100 1,600 7,950 25,050 9,500
2018-19 37,532 278 - 28,740 8,514
Source:- 1) Divisional Directorates of Excise & Taxation, Punjab, Sindh, KP & Balochistan
2) Cantonment Boards of the Punjab, Sindh, KP & Balochistan.
Note:- Federal Capital Area Islamabad is included in Punjab
(R) Repeat

133
Table A-88: Visitors, Type of Attraction, Total Expenditure and Income by Zoo
Year
No of visitors Type of attractions
Total
expenditure (per
annum) Rs.
Total income (per
annum) Rs.
Adult Minor Animals Birds
Karachi Zoo
2005-06 1,500,000 840,000 414 311 3,577,091 21,220,552
2006-07 1,447,623 600,000 432 404 5,991,799 19,313,884
2007-08 1,207,640 1,320,600 388 434 5,567,895 21,048,742
2008-09 1,800,000 70,000 512 501 27,100,000 24,303,194
2009-10 1,562,960 1,128,400 387 473 9,182,875 26,460,096
2010-11 1,272,393 118,651 371 450 16,025,702 23,200,281
2011-12 970,000 2,898,277 357 496 17,500,000 28,270,385
2012-13 1,103,334 2,206,667 356 442 39,700,000 40,000,000
2013-14 550,000 1,200,000 417 502 49,664,805 34,727,153
2014-15 1,100,000 1,800,000 402 484 40,000,000 40,000,000
2015-16 1,400,000 1,700,000 387 490 40,000,000 45,000,000
2016-17 6,85,000 1,372,000 367 478 42,000,000 50,000,000
2017-18 6,90,000 1,430,000 400 477 59,043,849 51,330,591
2018-19 2,86,875 1,147,498 603 242 51,276,993 58,826,145
Bahawalpur Zoo
2005-06 ** ** 194 682 4,347,000 5,338,235
2006-07 ** ** 194 563 4,599,836 4,055,000
2007-08 601,069 131,568 175 616 4,700,000 5,870,686
2008-09 642,488 142,514 179 614 16,509,000 7,479,000
2009-10 655,948 133,526 177 702 7,043,000 7,922,000
2010-11 659,075 133,753 156 688 7,221,000 8,045,000
2011-12 849,000 389,000 180 814 7,200,000 11,000,000
2012-13 982,000 356,500 123 581 7,800,000 9,912,000
2013-14 719,200 140,000 142 456 8,790,000 10,808,000
2014-15 720,165 141,200 152 972 7,625,000 13212000
2015-16 725,265 150,300 143 760 28,788,000 14,750,000
2016-17 731,270 165,200 152 1224 33,250,000 20,307,000
2017-18 669,525 167,941 165 1166 34,895,000 18,293,053
2018-19 592,313 115,355 150 759 14,111,866 19,581,000
Contd…

134
Table A-89: Visitors, Type of Attraction, Total Expenditure and Income by Zoo
Year
No of visitors Type of attractions
Total
expenditure (per
annum) Rs.
Total income
(per annum) Rs.
Adult Minor Animals Birds
Lahore Zoo
2005-06 2,036,748 837,500 322 780 -- 44,204,063
2006-07 2,874,248 2,665,510 325 616 17,609,703 47,633,708
2007-08 1,998,007 658,236 286 751 8,660,012 49,590,700
2008-09 1,936,036 733,724 43 71 41,040,012 50,105,989
2009-10 1,873,100 684,700 277 705 48,192,172 63,345,191
2010-11 2,300,141 843,722 314 688 17,575,893 69,315,735
2011-12 2,517,915 900,266 300 638 23,428,712 74,458,636
2012-13 2,799,293 974,261 324 734 23,501,215 82,142,052
2013-14 2,995,835 989,398 289 619 24,480,042 1,10,531,470
2014-15 2,935,604 943,197 268 818 29724074 97,346,650
2015-16 2,979,972 999,271 264 937 34,956,161 1,56,931,507
2016-17 2,665,031 907,903 288 641 40,881,648 1,57,837,393
2017-18 2,532,074 911,404 287 714 40,884,563 1,84,598,736
2018-19 2,335,469 860,107 365 779 41,461,679 1,96,375,808
Islamabad Zoo
2007-08 400,000 1,300,000 107 524 5,440,000 3,227,000
2008-09 325,000 1,050,000 90 623 5,500,000 3,000,000
2009-10 325,000 1,050,000 155 1,163 7,500,000 2,899,000
2010-11 287,500 1,350,000 155 744 14,900,000 3,700,000
2011-12 350,000 2,200,000 174 824 21,400,000 4,000,000
2012-13 360,000 2,000,000 167 810 25,700,000 4,000,000
2013-14 750,000 400,000 171 1,131 25,900,000 8,000,000
2014-15 370,000 250,000 145 1,249 25,000,000 10,000,000
2015-16 370,000 250,000 105 849 20,732,000 10,126,000
2016-17 360,000 250,000 108 855 28,200,000 10,786,000
2017-18 380,000 275,000 100 765 33,395,000 12,549,000
2018-19 380,000 275,000 100 765 33,395,000 12,549,000
Source:- Zoological Garden, Karachi, Bahawalpur and Lahore
* Contract of gate entry ticket was leased out therefore number of visitors is not available on the record
** Sale of tickets leased out to private contractor.
Zoological Garden Hyderabad has been shifted to Karachi in 2006-07.

135
SECTION - B
Environmental Impacts of Socio-Economic Activities and Natural Events
Rapid population growth impacts directly all facets of environment, whether natural or man made.
Some major problems include food shortages, sub-division of landholding to the level of uneconomical
size, deforestation, reduction in agricultural land due to expansion of cities, pressure on housing units
unaffordable increase in energy consumption, shortages of natural resources for the development of
industrial sector and degradation of environment.
This section briefly dwells on certain aspects of economic activities, which bear nexus with
population growth and, by the same token, environment. Thus, this section includes tabulations on area
under, as well as production of, agricultural crops, import/export of, agricultural commodities, milk and
milk products, fertilizers, wood and wood products, petroleum product and coal. In order to allude towards
deforestation, revenue earned by forest department is also tabulated. Further, as an explicit
consequences of population pressure, some tables on waste generation, chemical analysis of river
waters, water logging and salinity and different types of pollutants on coast of Pakistan are included.
Similarly, a record of nature’s unsavoury expressions i.e. natural disasters, which bear uncanny
relationship with human actions, is given at the end.

136
Table B-01: Area under Agricultural Crops and Fruits Indices (2008-09=100)
2008-09 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
2009-10 97.3 100.9 101.3 94.6 88.9 97.8 98.7 77.7
2010-11 79.8 98.4 116.8 87.1 92.6 89.7 97.5 84.5
2011-12 86.8 95.6 97.6 81.3 103.3 84.0 93.2 73.8
2012-13 77.9 95.7 98.2 75.5 100.7 85.0 91.8 62.5
2013-14 94.1 101.7 101.0 75.3 111.1 82.4 87.9 58.9
2014-15 97.6 101.7 98.4 74.2 108.6 78.7 87.2 57.3
2015-16 92.5 102.0 103.5 104.1 113.2 76.9 86.9 57.9
2016-17 91.9 99.2 99.9 97.6 128.2 70.8 89.9 47.6
2017-18 97.9 97.2 104.1 97.2 118.9 67.0 90.4 43.4
2018-19 94.8 95.9 97.1 91.7 130.6 66.3 87.3 41.7
Year Mash Mung
Other
Pulses
Rapeseed&
mustard
Sesa
mum
Linseed
Ground
nut
Cotton
2008-09 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
2009-10 87.3 83.4 154.9 77.7 88.1 77.4 94.2 110.1
2010-11 88.0 62.5 133.0 88.4 85.7 74.0 89.3 95.4
2011-12 88.8 64.1 81.3 88.0 83.6 70.0 103.0 100.5
2012-13 84.1 61.9 60.4 97.6 78.3 67.9 88.0 102.1
2013-14 75.7 59.6 49.5 99.1 90.2 60.8 101.1 99.5
2014-15 75.4 58.0 52.7 87.3 91.3 55.2 103.8 105.0
2015-16 69.6 66.5 52.7 84.2 86.8 57.1 99.0 102.9
2016-17 62.0 81.4 42.9 77.8 88.3 53.4 98.2 88.3
2017-18 55.8 74.0 38.5 87.2 91.3 53.4 106.8 95.8
2018-19 51.1 74.3 35.2 96.8 91.9 47.9 106.3 84.2
Contd..

137
Table B-01: Area under Agricultural Crops and Fruits Indices (2008-09=100)
Year Jute
Sun
hemp
Sugar
cane
Tobacco Potato Vegetables Garlic Chilies
2008-09 0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
2009-10 0 83.3 91.6 112.3 95.5 98.7 81.0 101.2
2010-11 0 66.7 95.9 103.2 109.9 99.6 78.6 86.2
2011-12 0 58.3 102.7 92.2 127.5 99.3 79.8 37.1
2012-13 0 41.7 109.7 100.2 119.2 101.2 83.3 86.2
2013-14 0 16.7 113.9 98.4 110.2 105.8 89.3 85.0
2014-15 0 6.7 110.8 108.2 117.6 98.6 94.0 84.7
2015-16 0 5.0 109.9 106.0 122.3 108.5 96.4 87.8
2016-17 0 1.7 118.3 95.0 123.9 107.8 98.8 86.3
2017-18 0 0.7 130.3 93.4 133.8 128.4 92.9 88.3
2018-19 0 0.0 107.1 90.5 134.9 105.4 96.4 64.1
Year Onion
Citrus
Fruit
2008-09 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
2009-10 96.2 99.2 96.7 102.1 98.8 99.8 100.0 99.9
2010-11 113.9 97.3 82.2 101.1 97.9 102.9 100.0 99.3
2011-12 100.1 97.0 62.5 101.4 97.7 107.2 100.7 102.6
2012-13 97.2 97.0 75.6 100.2 91.5 108.5 100.0 98.8
2013-14 111.0 96.9 77.8 100.7 93.1 68.6 100.0 98.7
2014-15 100.7 96.4 78.3 100.4 88.7 105.3 100.0 100.6
2015-16 104.9 96.1 79.7 100.1 85.8 112.5 96.7 107.1
2016-17 106.4 93.5 81.4 99.6 84.3 108.8 96.7 107.8
2017-18 115.0 91.9 83.6 98.7 84.2 104.3 96.7 108.5
2018-19 114.4 90.9 82.5 93.2 72.6 90.4 102.6 108.9
Source:- Agricultural Statistics of Pakistan, M/O National Food Security and Research.

138
Table B-02: Production of Agricultural Crops and Fruits Indices (2008-09=100)
2008-09 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
2009-10 99.0 97.0 98.9 93.7 90.8 87.6 75.8 75.7
2010-11 69.4 104.9 116.7 85.8 103.2 87.4 67.0 92.4
2011-12 88.6 97.7 102.6 83.3 120.7 80.6 38.4 77.1
2012-13 79.6 100.7 104.8 74.6 117.5 82.5 101.5 68.1
2013-14 97.8 108.1 101.6 74.7 137.6 81.6 53.9 56.3
2014-15 100.7 104.4 99.4 69.7 137.4 77.1 51.2 48.6
2015-16 97.8 106.7 101.0 97.6 148.5 74.4 38.6 54.2
2016-17 98.5 111.0 102.8 90.2 170.7 71.2 44.5 52.8
2017-18 107.2 104.3 114.4 92.8 164.3 67.6 43.7 43.8
2018-19 103.6 101.3 118.1 90.6 190.0 67.5 60.4 41.7
Year Mash Mung
Other
Pulses
Rapeseed
& ustard
Sesamum Linseed
Groundnut
Cotton
(000 bales)
2008-09 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
2009-10 78.7 75.4 124.6 81.5 81.5 75.0 62.2 109.3
2010-11 83.1 48.4 111.5 96.5 75.9 77.8 79.3 97.0
2011-12 80.1 59.1 82.0 89.9 73.9 72.2 102.8 115.0
2012-13 80.1 57.2 68.9 110.8 71.2 72.2 95.1 110.3
2013-14 75.0 59.0 62.3 116.0 79.3 66.7 117.9 108.0
2014-15 66.2 62.8 57.4 108.5 83.7 58.3 100.6 118.1
2015-16 62.5 64.9 45.9 97.5 77.3 61.1 107.3 83.9
2016-17 52.9 82.7 49.2 90.7 83.2 61.1 87.4 90.3
2017-18 52.9 77.6 44.3 105.2 85.9 63.9 100.7 101.1
2018-19 50.7 74.8 42.6 119.2 87.1 52.8 113.8 83.4
Contd…

139
Table B-02: Production of Agricultural Crops and Fruits Indices (2008-09=100)
Year Jute Sunhemp Sugarcane Tobacco Potato Vegetables Garlic Chillies
2008-09 0.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
2009-10 0.0 87.5 98.7 113.7 106.8 94.7 85.3 100.6
2010-11 0.0 75.0 110.5 98.0 118.7 97.5 82.3 91.5
2011-12 0.0 62.5 116.7 93.3 115.4 96.7 85.3 28.8
2012-13 0.0 50.0 127.4 103.2 128.7 90.9 90.2 78.4
2013-14 0.0 12.5 134.8 123.8 98.0 97.3 96.0 78.1
2014-15 0.0 5.0 125.5 29.3 141.4 91.2 108.8 74.4
2015-16 0.0 3.8 130.8 113.3 134.7 101.3 105.5 74.6
2016-17 0.0 0.0 150.8 108.1 130.3 102.7 108.6 76.1
2017-18 0.0 0.0 166.5 115.3 155.9 103.1 110.9 79.0
2018-19 0.0 0.0 134.2 99.1 165.5 107.9 112.1 54.1
Year Onion Citrus fruits Banana Mango Apple Guava Grapes Dates
2008-09 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
2009-10 99.8 100.8 98.4 106.8 83.1 99.4 85.0 93.8
2010-11 113.8 93.0 89.8 109.3 119.3 106.7 84.6 92.2
2011-12 99.3 100.7 62.4 98.4 135.8 96.7 84.6 98.4
2012-13 97.5 93.9 89.8 97.3 126.2 97.2 84.6 92.6
2013-14 102.1 101.7 76.5 96.0 137.4 97.7 87.0 93.0
2014-15 98.1 112.4 75.5 99.4 140.0 95.5 86.7 94.9
2015-16 101.9 109.9 84.0 94.6 140.7 102.0 86.6 82.6
2016-17 107.6 102.2 85.8 103.3 151.9 106.9 87.1 77.5
2017-18 124.4 110.3 85.9 100.4 147.2 114.4 87.0 95.4
2018-19 122.0 115.7 86.5 99.7 123.4 107.0 90.7 78.9

140
Table B-03: Quantity and Value of Export of Major Agricultural Commodities
(Quantity in '000' tones)
(Value in million Rs.)
Year
2014-15 2015-16 2016-17 2017-18 2018-19
Quantity Value Quantity Value Quantity Value Quantity Value Quantity Value
A. Primary Commodities
Rice (all) 3861.4 206266.3 4246.5 194245.6 3523.2 168244.0 4096.5 224739.4 4120.1 285031.5
Rice Basmati 523.4 60958.1 480.0 46615.7 469.3 47479.3 561.0 64646.6 659.6 87252.7
Rice other
varieties 3338.0 145308.2 3766.5 147629.9 3053.9 120764.7 3535.5 160092.8 3460.6 197778.8
Fish & Fish
Preparation 137.4 35429.4 127.9 33918.4 155.1 41213.9 196.9 49755.5 196.5 60404.6
Fruit & Veg.
Incl.Juice 1484.3 71767.3 1395.0 69100.0 1298.8 61911.6 1603.8 73207.1 1806.3 91307.8
Fruits 682.1 44374.6 676.5 44607.0 645.7 39878.5 696.6 43841.6 755.7 56271.5
Vegetables 751.0 23489.7 701.1 22232.5 632.2 19363.3 880.8 26720.6 1022.9 32197.8
Fruits & Veg.
Juice 51.2 3903.0 17.4 2260.5 20.9 2669.8 26.4 2644.9 27.7 2838.6
Wheat 8.3 291.3 0.5 16.6 3.9 108.7 1189.6 27108.6 683.5 20124.2
Wheat Flour 841.7 30634.5 626.3 20657.7 622.8 18369.3 360.0 10041.2 694.8 24114.3
Spices
(Incl.Chillies) 18.7 6712.5 19.7 8003.1 22.8 8855.1 20.8 8749.6 22.1 12075.8
Oil seed,
Nuts, Kernals 37.7 6507.8 20.9 3152.7 37.8 4951.8 29.4 4050.8 51.7 9966.6
Leguminous
& Vegetable 0.5 2.9 2.0 0.2 606.0 55.3 1.9 0.2 -- --
Raw hides
and skins 0.2 52.5 0.2 80.3 0.0 11.0 0.0 8.9 0.0 16.0
Raw Wool &
Animal Hair 7.3 1053.1 4.7 838.1 2.7 516.4 2.9 507.1 2.4 542.0
Raw wool 2.8 452.5 1.8 330.1 0.5 125.8 0.6 146.3 0.7 177.0
Animal hair 4.5 600.6 2.9 508.0 2.2 390.6 2.3 360.8 1.7 365.0
Crude
Animals
material 18.2 3520.6 20.3 2625.0 15.8 2191.7 21.5 3256.6 33.6 5034.0
Crude
fertilizer 27.7 254.1 26.9 309.6 12.7 194.5 9.2 142.6 17.9 223.0
Molasses 83.0 1010.3 73.1 474.4 101.4 1217.1 169.0 2114.5 117.9 1699.0
Raw cotton 94.1 14932.7 49.3 7948.1 25.5 4559 35.3 6183.6 13.0 2709.0
Cotton waste 44.4 5167.5 43.5 4606.7 38.6 4984.7 50.8 7122.8 38.3 5859.0
Tobacco 1517.4 1233.8 1649.2 2833.5 0.0 3378.0
UN-
manufactured 4.1 1363.7 3.0 1066.3 3.3 1304.9 6.6 2556.5 8.6 2866.0
Manufactured
Excl.cigarette 0.2 84.5 0.2 79.6 0.5 246.1 0.7 255.4 1.3 508.0
Cigarettes
(Million Nos) 0 69.2 0.0 87.9 0.0 98.2 0.0 21.6 0.0 4.0
Sub-Total
(A): 385120.2 347610.3 319033.3 419822.0 522485.4
Contd..

141
Table B-03: Quantity and Value of Export of Major Agricultural Commodities
(Quantity in '000' tones)
(Value in million Rs.)
Year
2014-15 2015-16 2016-17 2017-18 2018-19
B. Textile Manufactures
Cotton yarn 642.1 187375.7 423.6 131700 456.1 130215.9 522.4 151063.4 434.0 152726.0
Cotton Cloth
(Million sqm) 2074.2 248430.9 2152.1 230757.3 2049.1 223675.4 2369.4 242374.4 2827.1 285625.0
Cotton thread 2.7 1239.7 5.5 2327.9 3.7 1597.3 0.3 139.9 0.5 279.0
Tents & other
canvas goods 45 12835.3 32.3 8886.2 45.5 14006.9 28.8 9338.4 29.9 11202.0
Bedwear 324.6 213017.9 328.9 210543.5 357.5 223811.6 377.0 248537.7 414.8 307202.0
Towels 172.2 80777.8 184.5 83680.7 197.0 83819.1 203.2 87633.2 190.9 107043.0
Textile
,madeups
(excl.towels) 66359 65518.3 66820.7 75243.3 0.0 92422.0
Sub-Total
(B): 810036.3 733413.9 743946.9 814330.3 956499.0
C. Other Manufactures
Leather
(Million sqm) 22.3 49582.8 1.7 37802.9 2.3 36182.8 26.2 36329.9 21.3 34269.0
Leather
manufaccture
s
(excl.footwear
) - 60429.4 - 54787.6 - 51421.1 - 57422.4 0.0 66146.0
Carpets
(Million sq.M) 2.5 12098.4 1.8 10185.7 1.8 8218.8 1.7 8317.1 1.6 9147.0
Feeding stuff
for animals 322.1 6614.4 352.5 6937.6 284.4 5476.8 569.1 9986.5 656.4 14522.0
Fertilizers
manufactures - - - - 43.8 1064.1 233.1 5449.0* - -
Rubber
Manufactures - 1215.2 - 1358.4 - 1544.8 - 2092.2 0.0 2464.0
Guar & Guar
Products 25.5 5791.1 16.7 2597.6 24.0 3127.8 23.9 4015.9 22.8 4779.0
Foot wears
(Million pairs) 13 13304.4 12 11452.7 9.9 10024.2 10.1 11912.9 13.2 16734.0
Sports
Goods - 34293.6 0 33861.6 - 32285.1 - 37710.2 0.0 41995.0
Furniture 781.2 0.4 570 - 471.1 - 423.3 0.2 503.0
Sub-Total
(C): - 184110.5 - 159554.1 - 149816.6 - 173659.4 - 190559.0
Total
(A+B+C) -
1379267.
0 -
1240578.
3 -
1212796.
8 -
1407811.
7 -
1669543.
7
Total
Exports - 2397512 - 2166846 -
2138185.
6 -
2555043.
3 -
3128229.
7
Source:- 1. Agricultural Statistics of Pakistan, M/O National Food Security and Research
2. External Trade Section, PBS Karachi.
- = Indicates Nil

142
Table B-04: Import of other Agricultural Commodities
(Quantity 000 Tonnes)
(Value in Million Rs)
Item
2014-15 2016-15 2016-17 2017-18 2018-19
Milk and cream 80 21373 70.2 19895.2 74.3 16795.8 78.6 18566.6 74.8 16228.0
Pulses 655 41448 898.6 62063.7 1225.4 99721.3 788.1 58783.7 976.9 68265.0
Potato Seed 17 1255 5.0 339.0 7.0 511.6 8.5 677.7 5.0 540.0
Maize Seed 23 6779 20.1 4755.6 66.7 6276.7 25.5 7526.0 0.0 9426.0
Cotton - 35129 -- 78715.6 - 85128.8 - 122521.1 415.0 10.0
Dry Fruits 54 11899 156.9 17941.3 150.4 18894.5 70.2 10626.1 25.0 5899.6
Sugar Refined 10 631 12.1 645.1 8.9 535.4 8.7 553.7 7.9 534.5
Tea 151 34533 173.8 53491.3 194.8 54839.5 181.9 60368.5 222.7 77366.8
Spices 132 11058 143.5 15366.3 118.8 14514.8 135.8 18394.5 136.8 22201.4
Milk food for babies inft.
Invld 10 7971 12.0 9177.0 15.1 10289.8 21.2 11872.8 20.0 15090.6
Palm oil 2397 180316 2719.2 176102.2 2606.8 199473.3 2843.4 223878.7 3147.5 250597.3
Soyabean oil 53 5694 141.0 19097.6 92.0 12854.4 156.7 14683.5 150.9 14832.8
Agriculture machinery &
Implements - 10573 -- 8868.0 - 12432.6 13665.2 0.0 18365.2
Jute 74 4276 46.7 3320.7 66.9 4744.8 88.0 5599.8 68.9 4730.0
Fertilizer manufactured 2027 92641 1618.8 75667.4 1700.5 67063.5 2145.6 90878.7 193.1 105161.9
Insecticides 23 14059 17.4 15974.4 18.1 16680.0 26.5 19162.2 29.1 25909.2
Feeding stuff for animals 1050 54191 940.0 44050.3 641.9 28658.0 296.2 15695.9 206.1 16614.8
Hides & skins & fur skins
raw 14 5853 10.1 3404.4 7.6 2967.8 9.2 4001.4 8.9 4502.3
Oil seeds & oleagionous
Fruits 333 83861 1316.1 88512.6 1602.6 109277.4 2866.4 154717.2 3019.0 174072.4
Rubber crude incl.
Synth/reclaimed 116 15795 66.9 15247.4 84.3 18302.8 112.1 23650.9 99.1 23389.9
Wood and cork - 9956 -- 11721.5 - 12955.9 15474.0 0.0 19276.7
Pulp & waste paper 235 11923 241.8 12088.0 253.4 12804.1 400.5 19663.4 461.1 26588.9
Fertilizer crude 94 4187 159.3 6606.6 117.9 4894.3 101.2 4400.8 152.1 6323.1
Crude animal & vegetable
materials 95 13754 104.0 17266.1 103.5 17300.4 92.1 18484.2 106.7 21363.7
Animal oils and fats 33 2521 22.9 1386.4 27.5 1845.3 34.9 2496.8 21.2 1774.3
Animal/veg/fat oil wax etc
nes 16 2049 15.9 1888.1 16.5 2632.4 16.3 2795.8 24.7 3521.8
Cork/wood mfg. (excl.
furniture) 115 6486 109.3 8219.4 91.9 8629.3 89.0 8617.7 111.6 9004.2
Paper & paper board &
manf. thereof 489 49774 518.8 52671.0 592.2 55321.6 626.7 63274.5 558.2 72568.7
Foot wear (pair) 19 8874 19.9 10262.8 24.7 11828.2 28.3 11229.3 21774.7 11816.0
Total 748857.8 834745.01 908174.3 1022260.7 1025975.1
Total Imports 4644151.6 4658748.9 5539720.6 6694896.7 7443253.3

143
Table B-05: Import of Edible Oil
(Quantity in Tonnes)
(Value in Million Rs.)
Year
Quantity Value
Soyabean Palm oil Other Total Soyabean Palm oil Other Total
2008-09 92 1783 472 2347 6990 109929 21490 138409
2009-10 27 1702 149 1878 2339 109949 42397 154685
2010-11 66 1951 159 2176 5722 172702 8731 187155
2011-12 40 2108 136 2283 4561 211826 9309 225696
2012-13 60 2164 98 2322 7158 189618 6240 203016
2013-14 118 2265 46 2429 11725 195230 3887 210842
2014-15 53 2397 50 2499 5694 180316 4570 190580
2015-16 141 2719 39 2899 19098 176102 3275 198474
2016-17 92 2607 44 2743 12854 199473 4478 216805
2017-18 157 2843 51 3051 14684 223879 5293 243855
2018-19 151 3148 76 3375 14833 250597 12652 278082

144
Table B-06: Import of Milk and Milk Products
(Quantity in Kilogram)
(Value in 000 Rs.)
Items
2014-15 2015-16 2016-17 2017-18 2018-19
Milk and Cream of
a Fat upto 1% 465684 115408 1138890 273144 40931 14867 44416 17154 40373 13103
Milk and Cream of
a Fat 1% to 6% 12523 3476 20510 6725 63038 25179 231412 89388 279680 106705
Milk and Cream of
a Fat >6% 199 81 126 69 6 2 - - - -
Milk in powder Fat
1.5 % 17252530 2158300 40034369 16511250 39119020 12381592 44044676 14165393 43986877 12358547
Milk in powder
>1.5% Fat 798420 307773 1102905 361883 3872601 1204764 3195754 1097055 517621 201592
Other Milk in
powder >1.5%
Fat 1236081 328740 741664 199626 148207 43876 62890 20111 52510 18208
Other Milk/cream
not solid/sweet 441805 105567 78442 18142 205576 56292 182509 56390 53237 16789
Other Milk/Cream
solid,Sweetend 772301 216692 547693 200447 666715 168312 569789 175170 530183 176974
Yogurt 30024 9225 43773 15488 48848 10786 89985 20690 70540 16016
Butter
Milk,Curdled
Milk/Cream 5331 1888 13597 5197 14927 7162 25587 6941 1847 883
Whey powder 24315000 2369612 24619722 1810139 28735428 2484104 28498558 2374162 26677759 2549804
Other whey
preserve
concent/Sweet 643327 60014 172000 27722 426910 71680 199302 21093 457905 107255
Other product
consist Nature
Milk 2078057 565916 1554400 428780 839547 285744 1102798 374627 1757578 480725
Butter 220088 55880 267697 114566 463840 188737 561720 196200 419431 149531
Dairy spreads 133 15 5466 721 158 37 312 94 72740 21443
Other fats & oil
Derived from Milk 26141 10088 881262 316831 881490 289428 220052 71991 93230 30775
Fresh cheese 862567 219000 1597821 393284 704110 195631 1482311 401310 794821 243335
Other cheese &
Curd Fresh 1569 885 3578 2108 1496 515 1416 429 2270 751
Grated or Powder
cheese 2288 980 287434 108090 1048679 454470 1999709 643156 1766952 635034
Processed
Cheese not
grated 2809915 392260 1521787 328058 2385661 522279 1784429 493834 1851917 603910
Other Cheese 1591 456 5059 1463 7810 2290 99538 28262 171185 50994
TOTAL 6922256 21123733 18407747 20253550 17782374

145
Table B-07: Import of Fertilizers
Year
Quantity ( 000 Nutrient Tones )
N P K Total
2008-09 456.6 111.5 0.04 568.14
2009-10 900.8 522.4 20.9 1444.1
2010-11 383.2 243.5 18 644.7
2011-12 871.0 291.0 15.0 1177.0
2012-13 457.5 272.3 6.8 736.6
2013-14 702.6 431.7 14.1 1148.4
2014-15 486.3 474.7 23.4 984.4
2015-16 336.8 556.5 8.0 901.3
2016-17 264.1 668.5 28.9 961.5
2017-18 324.0 820.0 47.0 1191.0
2018-19 339.0 716.0 39.0 1093.0

146
Table B-08: Import of Wood and Wood Products
(Rupees in Thousands)
Items Unit
2014-15 2015-16 2016-17 2017-18 2018-19
Wood Tret With
Paint,Stain etc CUMB 16383 69262 1785 20810 2932 120441 6191 186918 - -
Oth Wood Oak Logs
Non-confifer CUMB 13 443 642 14969 - - - - 379 9122
Wood of Other Non-
Conf Species CUMB 57803 1165884 130309 2714887 154471 3048553 166944 3626942 64900 1630326
Oth Railway
Sleepers of Wood CUMB 214 3020 1809 10159 5498 26272 - - - -
Coniferous Wood
Speci Saw/Chip CUMB 613 12064 1164 29119 301 9122 34436 774765 25380 724334
Tropical Wood
White Lauan Ecc CUMB 7826 252364 10412 362272 9008 326966 6649 259036 6851 323309
Oth Tropical Wood
Non-Conf Saw CUMB 242181 4879552 217596 4723696 247698 5152044 239813 5204810 149380 4111531
Oak Wood,
Swan/Chipped Len
Wise CUMB 359 14690 646 14101 435 14629 455 19470 821 54617
Beech Wood
Swan/Chipped
L/Wise CUMB 2924 103454 2042 75987 3718 123433 3235 133931 2128 112550
Oth Wood Non-
Conf.Species CUMB 92174 1863914 90375 1974260 105346 2177227 94169 2126624 114923 3153907
Pol
Cream/Prep,Wood
Furniture Kg 78868 44695 17536 16635 12128 19372 11458 15887 11509 18284
Residual Lye From
Wood Pulp Ns Kg 348051 196579 387430 309492 316942 234307 428986 283680 349672 232412
Gum,Wood,Sulphat
Turpentine Oil Kg 3461 1782 17429 10286 4980 2865 2963 1788 26669 16587
Oth Terpenic Oil
Conifer Wood Kg 184155 79432 654615 277063 131182 96912 292083 166064 395024 203198
Wood In Chips or
Particles Con Kg - - - - - - - - 286 117
Saw Dust & Wood
Waste & Scrap Kg 85922 14184 359449 12853 165940 8238 225572 8060 14358 14100
Wood Charcoal of
Bamboo not
Agglome Kg 91340 5058 182276 8157 156511 6673 153126 8753 304083 16195
Coniferous Sheet for
Veneering Kg 610794 91758 427556 98499 377060 114873 529032 181406 332357 204987
Oth Veneer
Sheet/Tropical
Wood Kg 238499 66574 321075 85098 281184 81100 302200 94761 135718 71051
Wood State
Kg 414725 136804 625489 167961 772327 205183 494017 127634 862044 281374
Contd..

147
Table B-08: Import of Wood and Wood Products
(Rupees in Thousands)
Items Unit
2014-15 2015-16 2016-17 2017-18 2018-19
Other
Laminated
Wood Kg 30870 11359 3384 1160 36512 15100 35495 15769 51519 23992
Unworked
Oriented Stand
Board Kg 355243 141591 245370 130482 369478 200877 335163 174693 − -
Oth Board &
Wafer Board of
Wood Kg 1229 551 6429 2114 3614 1238 260 148 25728 12297
Oth Board
Ligneous
Material Kg 92681 26080 22357 9446 41241 17252 47890 20322 363 147
Oth(Mdf)Density
Exc 0.8g/Cm3 Kg 10462 361 66106 7060 3733316 259032 548210 39691 110941 7766
Fibre Board
Density>0.5-G-
0.8G Kg 25430913 1363921 32649149 1745336 16009896 1667244 24158302 2257398 − -
Oth, Fibre
Board Density
0.8GCm3 Kg - - - - - - - - - -
Oth, (Mdf)
Density
Not>0.5g/Cm3 Kg 148738 14234 141909 9982 97892 8800 84567 10435 139223 12376
Densified
Wood
Block,Plate.Etc Kg 161460 33273 334490 35992 223615 49189 362615 88132 213974 54246
Wooden
Frames for
Paintings Kg 106980 9526 115287 12497 27168 8901 67976 14288 31855 10010
Oth Builders
Joinery/Carp
Wood Kg 227992 76114 429542 156648 248992 122196 183312 82848 - -
Tableware &
Kitchenware of
Wood Kg 135642 45602 147346 54416 166766 63011 196690 49744 - -
Statuettes/Oth
Ornament
Wood Kg 5118 1438 5694 1895 10987 2745 5648 2620 2188 679
Oth Wood
Marquetry &
Inland Wood Kg 364645 92036 299330 100474 331478 88143 418571 151417 316511 130263
Clothes
Hangers of
Wood Kg 33970 16047 37444 17530 78332 34824 150979 52884 143213 48869
Other,Articles
Of Wood Kg 390959 131103 278554 152372 334878 214801 11272793 350811 1486061 500304
Total
10964749 13363708 14521563 16531729 11978950
- = Indicates Nil

148
Table B-09: Export of Crude Oil and Petroleum Products
(Unit:Qty. in Tonnes)
(Value in Million)
Products
Year
2014-15 2015-16 2016-17 2017-18 2018-19 ACGR
Crude Oil
565,750 318,362 189,817 383,317 553,907
85.6%
584,872 329,123 196,233 396,273 572,629
(287.02) (97.88) (75.00) (183.89) (258.38)
Energy
Products
Naphtha
997,964 794,921 677,816 639,388 418,941
-13.3%
1,066,225 849,294 724,179 683,122 447,597
(608.59) (291.89) (284.93) (337.07) (215.87)
HSD
370 13 - - 1,903
2.0%
389 14 - - 2,001
(0.38) (0.01) - - (1.51)
JP-1
58,193 82,438 88,308 174,336 134,044
17.0%
60,032 85,043 91,099 179,845 138,280
(62.86) (53.24) (60.77) (142.39) (120.71)
Furnace oil
- - - - 12,652
- - - - 12,319
- - - - (6.34)
Total Energy
Products:
1,056,527 877,372 766,124 813,724 567,540
-9.2%
1,126,646 934,350 815,277 862,967 600,196
(671.83) (345.14) (345.70) (479.46) (344.43)
Lubes
19,950 13,651 7,458 7,423 1,811
(13.25) (8.01) (3.98) (4.04) (1.05)
Source:- Pakistan Energy Year Book, Hydrocarbon Development Institute of Pakistan.

149
Table B-10: Import of Petroleum Products
(Unit:Qty. in Tones)
(Qty. in TOE)
(Value in Million US $)
Products
Year
2014-15 2015-16 2016-17 2017-18 2018-19 ACGR
100/LL
47,000 110,271 119,278 236,538 222,587
11.4%
48,979 114,914 124,300 246,496 231,958
(43.86) (52.65) (57.84) (147.41) (150.25)
HOBC **
- - 135,794 86,441 82,397
- - 144,376 91,904 87,605
- - (77.81) (59.85) (64.18)
HSD
3,277,000 3,064,764 3,796,040 3,845,272 2,537,798
-0.2%
3,445,110 3,221,987 3,990,777 4,042,534 2,667,987
(2,107.00) (1,128.37) (1,749.19) (2,126.70) (1,607.86)
High Sulphur
Furnace Oil
6,701,000 5,219,995 5,869,157 3,791,786 552,239
-39.0%
6,524,764 5,082,709 5,714,798 3,692,062 537,715
(3,060.00) (1,145.26) (1,730.67) (1,401.42) (252.57)
Low Sulphur
Furnace Oil *
- 903,147 663,889 455,588 -
- 879,394 646,429 443,606 0
- (234.55) (229.2) (183.03)
Motor Spirit
3,322,000 4,251,563 4,561,112 4,928,112 5,411,866
18.7%
3,549,225 4,542,370 4,873,092 5,265,195 5,782,037
(2202) (2098) (2339.14) (3,066.28) (3,564.94)
Total:
13,347,000 13,549,740 15,145,270 13,343,737 8,806,887
-5.2%
13,568,078 13,841,374 15,493,772 13,781,798 9,307,302
(7,412.86) (4,658.83) (6,183.85) (6,984.69) (5,639.80)
Annual Growth
Rate of Qty 15.83% 1.52% 11.78% -11.90% -34.00%
Source:- Pakistan Energy Year Book, Hydrocarbon Development Institute of Pakistan.
* For convenience of calculations, the conversion factors for HSFO & LSFO have been assumed as same.
** HOBC 97 and HOBC 95.

150
Table B-11: Import of Crude Oil
(Unit: Qty. in Tones)
(Qty. in TOE)
Refinery
Year
2014-15 2015-16 2016-17 2017-18 2018-19 ACGR
Byco Petroleum Pakistan
1,406,555 1,404,399 1,387,838 2,784,240 2,109,446
22.6%
1,454,097 1,451,868 1,434,747 2,878,347 2,180,745
(781.44) (480.40) (667.72) (1368.49) (1302.20)
Pakistan Refinery
1,201,701 1,403,804 1,336,423 1,334,855 1,344,967
2.2%
1,242,318 1,451,253 1,381,594 1,379,973 1,390,427
(666.36) (460.73) (477.16) (639.11) (716.04)
National Refinery
1,722,115 1,898,483 1,966,279 2,042,775 2,000,195
1.6%
1,780,322 1,962,652 2,032,739 2,111,821 2,067,802
(954.28) (576.47) (718.65) (946.97) (1,056.02)
PARCO
4,001,868 3,969,098 3,969,921 4,168,726 3,511,388
-3.6%
4,137,131 4,103,254 4,104,104 4,309,629 3,630,073
(2,179.05) (1,236.12) (1,035.76) (1,949.08) (1,867.58)
Total:
8,332,239 8,675,784 8,660,461 10,330,596 8,965,996
2.2%
8,613,869 8,969,025 8,953,185 10,679,770 9,269,047
(4,581.13) (2,753.72) (2,899.29) (4,903.65) (4,941.86)
Annual Growth Rate of
Quantity 3.67% 4.12% -0.18% 19.28% -13.21%
Source:- Pakistan Energy Year Book, Hydrocarbon Development Institute of Pakistan
Table B-12: Import of Coal *
Unit 
Year 
Tonnes TOE
Import Value
(million Rs)
Annual Growth
Rate (%)
2008-09 4,651,751 3,060,387 (47,321) -22.30
2009-10 4,657,829 3,064,386 (34,937) 0.13
2010-11 4,267,058 2,807,297 (44,832) -8.39
2011-12 4,056,897 2,669,033 (50,367) -4.93
2012-13 3,709,940 2,440,770 (47,705) -8.55
2013-14 3,119,155 2,052,092 (31,072) -15.92
2014-15 5,003,806 3,292,004 (52,762) 60.42
2015-16 4,885,260 3,214,013 (47,415) -2.37
2016-17 7,020,844 4,619,013 (81,280) 43.71
2017-18 13,683,895 9,002,635 (154,795) 94.90
2018-19 15,685,874 10,319,737 (154,795) 14.63
ACGR 38.1%
* Includes coal imported by Pakistan Steel for use as coke.

151
Table B-13: Revenue Earned by Forest Department
(Million Rs.)
Year Total Balochistan KP Punjab Sindh
Gilgit-
Baltistan
Azad
Kashmir
208-09 1833.042 2.060 585.120 891.560 75.190 N.A 279.112
2009-10 1029.349 N.A 640.742 N.A 73.922 N.A 314.685
2010-11 1797.958 40.233 749.820 N.A 703.565 5.046 299.294
2011-12 2423.889 40.250 874.730 1085.500 101.520 3.272 318.617
2012-13 2922.181 N.A 675.848 1782.900 129.959 14.863 318.611
2013-14 2016.887 24.230 484.890 1332.155 139.823 35.789 233.971
2014-15 1502.924 20.439 355.596 966.524 150.734 9.631 278.007
2015-16 1298.380 28.494 229.194 847.347 179.104 14.241 170.297
2016-17 1253.451 17.022 244.161 763.632 217.246 11.390 166.306
2017-18 1162.825 18.820 169.751 758.922 206.066 9.266 172.362
2018-19 1051.200 11.320 53.907 781.068 124.471 80.434 233.426
2. Provincial Chief Conservators.
N.A=Not available
Table B-14: Solid Waste Generation Estimates
City Generation Rate Waste Generated
Kg/capita/day Kg/h/day Tons/day Tons/year
2019 Year
Karachi 0.595 2.975 9576 3495240
Bannu
0.500 4.725 125 45,000
Quetta 0.405 - 1250 -
Faisalabad 0.480 - 1574 574510
Lahore 0.480 - 5351 1953115
Bahawalpur
0.470 2.800 325 118,625
Rawalpindi 0.460 - 817 98,205
Gujranwala 0.790 2.940 1100 401,500
TMA (KP)
Generation Rate Waste Generated
Kg/capita/day Kg/h/day Tons/day Tons/year
2019 Year
Banda Dadu Shah 2240 1120 2 720
Dargai - - 6 1860
Hungu - - 15 4800
TMA Karak - - - -
Town-IV Peshawar 0.840 0.840 34 9000
Tangi - - 3 936
Mastuj - - - -
Pabbi - - - -
Batkhela 0.4850 3.840 33.350 12,173
Takht Bhai - - - 25720
Source: i. Tehsil Municipal Administration of each district
ii. Local Govt., Elections and Rural Development Department Local Council Board, Peshawar
N.A=Not available

152
Table B-15: Physical Composition of Waste
City 
Waste 
2019 Year
Faisalabad Lahore Bahawalpur Rawalpindi Gujranwala Quetta Bannu
Plastic & Rubber 37918 - 23.86 93 5260 13.44 9000
Metals 5745 1176 5.85 7428 1164 17.67 2250
Paper 44065 - 20.80 - 21159 - 2250
Cardboard - - 19.17 - - - 1350
Rags 37516 - 1.36 - - - 900
Bones 13788 - - - - - 2250
Board Papers - - - - - 7.04 5400
Food Waste 194242 - 145.73 - - 1247.33 9000
Animal Waste 13444 - 11.77 - - - 2250
Leaves Grass
etc. 42284 - 26.07 - 2008 - 450
Wood 6147 - - - - 1.04 225
Fines - - 10.11 - - - 112.50
Debris - - 15.15 - - - -
Stones 165401 - - 11328 15096 - -
Combustibles - 118569 - 21140 - -
Diaper - 99166 23.47 155 24291 4.52 4500
Elec. –Electro. - 588 - 1981 2.95 -
Glass 13961 13523 11.05 4457 6705 51.46 3600
Hazardous - 26065 - 169307 3051 - -
Biodegradable - 1103766 - 34450 - - 112.50
Non-Combust - 125428 - - - -
Paper-Card - 42724 6.4 186 - - -
Pet - 1764 - 34326 - - -
Nylon - 214011 - 1455 38946 - 112.50
Plastics - 12347 - 4488 5340 193.94 0
Tetrapak - 19990 - 18726 3935 - 1237.50
Textile - 180499 6.92 - 21480 47.00 0
Other - 196 3.94 309520 253065 521.83 0
Total 574510 1959812 325 93 401500 1867.04 45000
Source:- Tehsil Municipal Administration of each districts
N.A = Not Available

153
Table B-15: Physical Composition of Waste of Peshawar District
Peshawar’s
Tehsil Waste
2019 Year
Banda
Dadu Shah
Dargai Hungu
Town-IV
Peshawar
Tangi Mastuj Pabbi Batkhela
Takht
Bhai
Plastic & Rubber 72 20 2 1350 3 9.12 55 1080 200
Metals - - - 90 - 2.64 - - 100
Paper 72 30 - 90 1 - 30 1080 220
Cardboard - 10 - 90 - 35 - 120
Rags - 200 - - - - 28 - 80
Bones - 10 8 90 1 6 43 108 500
Board Papers - 10 - 90 - 1.92 44 - 300
Food Waste - 300 - - 1 19.2 339 864 9000
Animal Waste 216 200 6 6570 10 48 48 864 3000
Leaves Grass
etc. - - 1200 450 15 - 23 864 8000
Wood 72 100 1 - 1 - 5 109 2000
Fines - - - - 36 - - - -
Debris - 70 - 540 20 - 467 864 -
Stones-Dust ,ash - 200 2800 180 30 - 10 864 500
Combustibles - - - 90 0.2 - - - -
Diaper - 400 2 180 - 2.016 55 109 300
Elec. –Electro. - - 1 - 0.5 - 3 109 -
Glass 144 10 18 - 2 16.56 20 216 300
Hazardous - 100 - - 1 16.8 7 864 -
Biodegradable - - - 90 - 12.48 3 - 500
Non-Combust - - - - - - - - -
Paper-Card - - - - - - - - -
Pet - - - - - - - - -
Nylon 72 - - - 0.5 - 2 - -
Plastics 172 - - - - - - - -
Tetrapak - 200 2 - 2 - 44 108 300
Textile - - 1 - 2 - - 109 100
Other - - 759 - 807 8.5 51 - 200
Total 720 1860 4800 9000 936 143.236 1311 8212 25720
Source: Local Govt., Elections and Rural Development Department Local Council Board, Peshawar Contd..

154
Table B-16 (a): Waste Generation Rate and Amount
City
Generation rate
(Kg/Capita/Day)
Waste Generation
(Tons/Day)
2019
Bannu 0.85 125
Quetta 0.405 1250
Faisalabad 0.48 1574
Lahore - 5351
Bahawalpur 0.47 325
Rawalpindi 0.46 817
Gujranwala - 1100
Table B-16(b): Waste Generation Rate and Amount
TMA (KP) Generation rate (Kg/Capita/Day) Waste Generation (Tons/Day)
2019
Banda Dadu Shah 2240 2
Dargai 6 6
Hungu - -
TMA Karak - -
Town-IV Peshawar 0.25 100
Tangi - -
Mastuj - -
Pabbi - -
Batkhela 0.33 22.5
Takht Bhai - -

155
Table- B-17: Results of Chemical Analysis of Water Samples from River Ravi
Sampling site
Reference
Values
9-Jun 1.5 10 2.5 0.2 0.2 5 0.02
Chemical parameters Trace metals
Sampling
Season
pH
EC
dS/m
SAR
RSC
me/l
Cu mg/l Zn mg/l Pb mg/l Ni mg/l
At Ravi siphon
Lahore
14-Feb 8.47 0.36 0.15 _ 0.09 0.12 _ 0.02
14-Apr 7.54 0.3 0.07 _ 0.07 0.4 _ 0.02
14-Jun 7.54 1.60 17.24 _ 0.06 0.5 _ 0.01
14-Aug 8.31 0.22 0.09 _ 0.11 0.09 _ 0.01
14-Oct 8.05 0.34 0.07 _ 0.08 0.05 _ 0.01
14-Dec 7.01 0.36 0.08 _ 0.05 0.18 _ 0.01
15-Feb 7.50 0.29 0.08 _ 0.14 0.15 _ 0.03
15-Apr 7.84 0.31 0.85 0.40 0.14 0.29 _ 0.02
15-Jun 8.00 0.34 0.4 _ 0.11 0.18 _ 0.02
15-Aug 7.60 0.21 0.09 _ 0.14 0.06 _ 0.01
15-Oct 8.18 0.33 0.08 _ 0.07 0.12 _ 0.02
15-Dec 8.21 0.34 0.25 _ 0.1 0.04 _ 0.01
16-Feb 8.44 0.31 0.25 0.10 0.04 0.05 _ 0.01
16-Apr 8.00 0.23 0.20 _ 0.03 0.04 _ 0.01
16-Jun 6.50 0.16 0.22 _ 0.03 0.09 _ 0.01
16-Aug 7.35 0.23 0.19 _ 0.04 0.05 _ 0.01
16-Oct 8.61 0.32 0.32 _ 0.05 0.01 _ 0.01
16-Dec 8.20 0.35 0.39 _ 0.04 0.01 _ 0.01
17-Feb 7.00 0.34 1.03 _ 0.03 0.02 _ 0.01
17-Apr 7.30 0.21 0.42 _ 0.04 0.02 _ 0.03
17-Jun 6.10 0.20 0.00 _ 0.03 0.02 _ 0.01
17-Aug 7.42 0.26 0.97 0.30 0.04 0.04 _ 0.01
17-Oct 7.80 0.33 0.41 _ Missing
17-Dec 7.70 0.36 0.23 _ 0.05 0.04 _ 7.70
Balloki
Head works
14-Feb 8.37 0.35 0.42 - 0.10 0.18 _ 0.01
14-Apr 7.38 0.32 0.98 0.50 0.08 0.13 _ 0.02
14-Jun 8.00 0.23 0.42 - 0.07 0.28 _ 0.02
14-Aug 8.25 0.27 0.1 - 0.09 0.17 _ 0.01
14-Oct 7.45 0.32 0.24 - 0.10 0.09 _ 0.02
14-Dec 7.04 0.36 0.15 - 0.04 0.13 _ 0.02
15-Feb 7.76 0.43 0.85 - 0.13 0.09 _ 0.02
15-Apr 7.86 0.32 0.98 - 0.14 0.16 _ 0.01
15-Jun 8.15 0.23 0.29 - 0.15 0.13 _ 0.02
15-Aug 7.50 0.26 0.17 - 0.08 0.11 _ 0.01
15-Oct 8.17 0.38 0.15 - 0.12 0.04 _ 0.01
15-Dec 7.90 0.35 1.40 0.20 0.05 0.06 _ 0.02
16-Feb 8.34 0.36 0.50 - 0.04 0 _ 0.01
16-Apr 8.00 0.30 0.54 - 0.04 0.04 _ 0.02
16-Jun 7.20 0.21 0.19 - 0.03 0 _ 0.02
16-Aug 7.30 0.23 0.09 - 0.03 0.06 _ 0.01
16-Oct 8.52 0.32 0.73 - 0.06 0.07 _ 0.01
16-Dec 7.90 0.39 1.05 - 0.04 0.02 _ 0.01
17-Feb 7.10 0.43 0.32 - 0.05 0.06 _ 0.01
17-Apr 7.40 0.25 0.61 - 0.03 0.02 _ 0.01
17-Jun 6.70 0.24 0.08 - 0.05 0.02 _ 0.01
17-Aug 7.42 0.20 0.31 - 0.03 0.01 _ 0.01
17-Oct 7.80 0.20 0.20 - Missing
17-Dec 7.60 0.70 2.65 0.80 0.05 0.06 _ 0.01
Contd…

156
Table- B-17: Results of Chemical Analysis of Water Samples from River Ravi
Sampling
site
Reference
Values
9-Jun 1.5 10 2.5 0.2 0.2 5 0.02
Sampling
Season
pH EC dS/m SAR
RSC
me/l
Cu mg/l Zn mg/l Pb mg/l Ni mg/l
Sidhnai Head
works
14-Feb 8.48 0.61 2.10 0.20 0.08 0.32 - 0.02
14-Apr 8.70 0.44 1.62 - 0.15 0.09 - 0.02
14-Jun 7.99 0.27 0.60 - 0.09 0.21 - 0.01
14-Aug 8.46 0.46 1.80 - 0.07 0.37 - 0.01
14-Oct 8.03 0.88 2.90 - 0.10 0.09 - 0.02
14-Dec 7.79 0.44 1.49 - 0.08 0.18 - 0.02
15-Feb 7.70 0.40 0.83 - 0.12 0.11 - 0.02
15-Apr 7.67 0.81 3.52 - 0.11 0.27 - 0.01
15-Jun 8.00 0.48 1.20 - NA
15-Aug 8.02 0.50 2.18 - 0.17 0.09 - 0.01
15-Oct 7.96 0.38 1.26 - 0.12 0.23 - 0.02
15-Dec 7.60 0.85 3.30 - 0.14 0.06 - 0.02
16-Feb 8.01 0.57 1.58 - 0.04 0.07 - 0.01
16-Apr 7.40 0.68 2.85 - 0.04 0.04 - 0.01
16-Jun 7.68 0.42 1.09 - 0 0.02 - 0.01
16-Aug 7.32 0.33 0.6 - 0.04 0.05 - 0.01
16-Oct 7.23 0.73 3.21 - 0.04 0.01 - 0.02
16-Dec 7.08 0.72 3.13 - 0.03 0.06 - 0.02
17-Feb 8.20 0.90 3.4 - 0.04 0.05 - 0.01
17-Apr 8.20 0.55 2.03 - Missing
17-Jun 7.20 0.37 0.85 - 0.03 0.01 - 0.02
17-Aug 7.90 0.40 1.83 0.70 0.07 0.05 - 0.01
17-Oct 7.73 1.00 4.24 - 0.03 0.02 - 0.02
17-Dec 7.50 1.10 5.59 - 0.03 0.05 - 0.01
Head Warks
Sulemanki
15-Feb 7.60 0.46 1.10 - 0.16 0.20 - 0.02
15-Apr 8.57 0.37 1.00 - 0.09 0.07 - 0.03
15-Jun 8.04 0.28 0.56 - 0.14 0.10 - 0.02
15-Aug 8.10 0.30 0.54 - 0.12 0.13 - 0.02
15-Oct 8.10 0.69 2.60 - 0.13 0.34 - 0.01
15-Dec Not Sampled
16-Feb 7.90 0.51 1.58 0.04 0.06 - 0.01
16-Apr 8.20 0.36 1.00 0.20 0.03 0.01 - 0.01
16-Jun 6.50 0.27 0.48 - 0.04 0.01 - 0.02
16-Aug 7.10 0.32 0.34 - 0.04 0.01 - 0.02
16-Oct 8.10 0.44 1.08 - 0.08 0.06 - 0.02
16-Dec 8.18 0.53 1.83 - 0.03 0.01 - 0.01
17-Feb 7.50 0.51 1.23 - 0.05 0.04 - 0.01
17-Apr 8.00 0.45 0.95 - 0.03 0.05 - 0.02
17-Jun 7.20 0.34 0.69 - 0.03 0.02 - 0.02
17-Aug 6.80 0.36 1.00 - 0.04 0.05 - 0.01
17-Oct 6.50 0.43 1.48 - 0.06 0.07 - 0.02
17-Dec 7.30 0.40 0.91 - 0.04 0.02 - 0.01
Contd..

157
Table B-17: Results of Chemical Analysis of Water Samples from River Sutlej
Sampling site
Reference
Values
9-Jun 1.5 10 2.5 0.2 0.2 5 0.02
Sampling
Season
pH
EC
dS/m
SAR
RSC
me/l
Cu mg/l Zn mg/l
Pb
mg/l
Ni mg/l
Head Islam
14-Feb 8.24 0.42 1.00 - 0.08 0.07 - 0.02
14-Apr 7.80 0.44 2.82 0.60 0.10 0.24 - 0.02
14-Jun 8.31 0.41 2.00 - 0.08 0.24 - 0.02
14-Aug 8.56 0.32 0.26 - 0.06 0.05 - 0.02
14-Oct 7.81 0.58 1.15 - 0.10 0.09 - 0.02
14-Dec 7.90 0.54 1.77 - 0.05 0.06 - 0.02
15-Feb 7.50 0.75 2.90 - 0.13 0.06 - 0.01
15-Apr 8.60 0.53 1.90 - 0.12 0.17 - 0.03
15-Jun 8.12 0.29 1.02 0.30 0.19 0.18 - 0.02
15-Aug 7.40 0.31 0.24 - 0.14 0.23 - 0.02
15-Oct 8.00 1.09 4.69 - 0.16 0.16 - 0.02
15-Dec Not Sampled
16-Feb 8.00 0.60 2.50 - 0.04 0.05 - 0.02
16-Apr 8.20 0.39 0.95 - 0.03 0.04 - 0.02
16-Jun 6.10 0.28 0.08 - 0.04 0.01 - 0.01
16-Aug 7.00 0.35 1.00 - 0.00 0.04 - 0.01
16-Oct 8.00 0.77 2.70 - 0.08 0.02 - 0.02
16-Dec 8.19 0.54 2.08 - 0.03 0.02 - 0.01
17-Feb 8.00 0.56 1.51 - 0.07 0.07 - 0.02
17-Apr 8.00 0.34 0.42 - Missing
17-Jun 7.00 0.34 0.93 - 0.03 0.01 - 0.01
17-Aug 6.59 0.37 1.33 - 0.03 0.05 - 0.01
17-Oct 6.20 0.42 1.39 0.10 0.04 0.07 - 0.02
17-Dec 6.80 0.40 1.46 0.10 0.04 0.02 - 0.01
Head warks
punjnad
14-Feb 7.86 0.66 2.75 - 0.1 0.24 - 0.02
14-Apr 7.78 0.48 2.1 - 0.11 0.17 - 0.01
14-Jun 8.16 0.29 0.8 - 0.07 0.23 - 0.01
14-Aug 8.45 0.41 0.82 - 0.10 0.12 - 0.02
14-Oct 8.10 0.70 1.96 - 0.04 0.22 - 0.02
14-Dec 7.90 0.54 1.65 - 0.06 0.09 - 0.03
15-Feb 7.90 0.44 1.24 - 0.13 0.06 - 0.01
15-Apr 8.56 0.61 2.15 - 0.12 0.17 - 0.03
15-Jun 8.08 0.31 0.96 - 0.19 0.18 - 0.02
15-Aug 8.00 0.32 0.72 - 0.14 0.23 - 0.02
15-Oct 8.10 0.60 2.5 - 0.16 0.16 - 0.02
15-Dec Not Sampled
16-Feb 7.91 0.4 0.93 - 0.04 0.02 - 0.02
16-Apr 8.00 0.31 1.13 - 0.04 0 - 0.02
16-Jun 6.80 0.30 1.00 - 0.05 0.05 - 0.01
16-Aug 7.00 0.46 1.27 - 0.04 0.04 - 0.01
16-Oct 8.17 0.66 2.4 - 0.08 0.02 - 0.02
16-Dec 8.25 0.46 1.8 - 0.03 0.02 - 0.01
17-Feb Not Sampled
17-Apr 7.60 0.45 0.95 - 0.03 0.01 - 0.03
17-Jun 7.20 0.21 0.09 - 0.04 0.02 - 0.01
17-Aug 6.83 0.39 0.56 - 0.04 0.02 - 0.01
17-Oct 6.10 0.33 0.81 - 0.03 0.04 - 0.01
17-Dec Not Sampled
Contd..

158
Table B-17: Results of Chemical Analysis of Water Samples from River Chenab
Sampling
site
Reference
Values
9-Jun 1.5 10 2.5 0.2 0.2 5 0.02
Sampling
Season
pH EC dS/m SAR
RSC
me/l
Cu mg/l Zn mg/l Pb mg/l
Ni
mg/l
Chenab at
Marala
Head works
14-Feb 8.23 0.28 0.18 - 0.11 0.09 - 0.01
14-Apr 7.72 0.23 0.18 - 0.15 0.11 - 0.02
14-Jun 7.95 0.25 0.20 - 0.13 0.21 - 0.01
14-Aug 8.17 0.18 0.10 - 0.09 0.18 - 0.01
14-Oct 7.38 0.26 0.08 - 0.04 0.07 - 0.01
14-Dec 6.79 0.32 0.08 - 0.08 0.05 - 0.02
15-Feb 7.80 0.28 0.08 - 0.08 0.09 - 0.02
15-Apr 7.80 0.28 0.36 - 0.16 0.27 - 0.01
15-Jun 7.90 0.19 0.09 - 0.08 0.29 - 0.02
15-Aug 7.60 0.22 0.19 - 0.07 0.13 - 0.01
15-Oct 8.00 0.25 0.08 - 0.11 - - 0.02
15-Dec 8.08 0.30 0.27 - 0.10 0.04 - 0.01
16-Feb 8.31 0.29 0.27 - 0.04 0.10 - 0.02
16-Apr 7.80 0.22 0.21 - 0.00 0.05 - 0.01
16-Jun 7.40 0.18 0.09 - 0.04 0.00 - 0.01
16-Aug 7.60 0.17 0.11 - 0.03 0.04 - 0.01
16-Oct 8.50 0.22 0.18 - 0.05 0.01 - 0.01
16-Dec 8.10 0.39 0.95 - 0.03 0.05 - 0.02
17-Feb Not Sampled
17-Apr 6.90 0.17 0.01 - 0.04 0.02 - 0.01
17-Jun 6.50 0.16 0.00 - 0.07 0.06 - 0.01
17-Aug 7.40 0.23 0.40 - 0.03 0.05 - 0.01
17-Oct 7.66 0.20 0.20 - 0.03 0.05 - 0.01
17-Dec Not Sampled
Head Khanki
Mainline
14-Feb 7.52 0.28 0.16 - 0.06 0.29 - 0.02
14-Apr 7.16 0.27 0.27 - 0.06 0.26 - 0.02
14-Jun 7.06 0.3 0.56 - 0.07 0.33 - 0.02
14-Aug 8.26 0.15 0.1 - 0.15 0.09 - 0.02
14-Oct 7.31 0.28 0.27 - 0.07 0.04 - 0.01
14-Dec Not Sampled
15-Feb 7.84 0.31 0.55 - 0.14 0.07 - 0.01
15-Apr 7.50 0.22 0.09 - 0.13 0.07 - 0.02
15-Jun 7.52 0.23 0.08 - 0.10 0.12 - 0.03
15-Aug Not Sampled
15-Oct 7.60 0.28 0.27 - 0.20 0.09 - 0.01
15-Dec Not Sampled
16-Feb 7.40 0.23 0.3 - 0.04 0.04 - 0.01
16-Apr 7.40 0.26 0.56 - 0.04 0.01 - 0.02
16-Jun 7.40 0.20 0.01 - 0.07 0.04 - 0.02
16-Aug 7.12 0.22 - - 0.04 0.01 - 0.01
16-Oct 6.80 0.25 0.17 - 0.06 0.01 - 0.01
16-Dec 7.30 0.27 0.23 - 0.03 0.01 - 0.02
17-Feb 7.60 0.35 1.14 - 0.04 0.07 - 0.01
17-Apr 7.00 0.25 0.18 - 0.04 0.04 - 0.02
17-Jun 8.31 0.25 0.07 - 0.04 0.04 - 0.01
17-Aug 7.33 0.20 0.20 - 0.03 0.01 - 0.01
17-Oct 7.00 0.29 0 - 0.04 0.11 - 0.01
17-Dec 7.60 0.30 0.45 - 0.04 0.05 - 0.01
Contd..

159
Table B-17: Results of Chemical Analysis of Water Samples from River Chenab
Sampling
site
Reference
Values
9-Jun 1.5 10 2.5 0.2 0.2 5 0.02
Sampling
Season
pH
EC
dS/m
SAR
RSC
me/l
Cu
mg/l
Zn
mg/l
Pb
mg/l
Ni mg/l
Tail of R-Q
link canal
Qaderabad
barrage
14-Feb 8.15 0.27 0.10 - 0.05 0.05 - 0.01
14-Apr 8.36 0.25 0.30 0.10 0.12 0.24 - 0.01
14-Jun 7.98 0.21 0.09 - 0.07 0.07 - 0.02
14-Aug 7.47 0.34 0.07 - 0.17 0.21 - 0.01
14-Oct 8.00 0.23 0.08 - 0.05 0.12 - 0.01
14-Dec 7.82 0.26 0.08 - 0.17 0.15 - 0.02
17-Feb 7.20 0.31 0.00 - 0.06 0.05 - 0.01
17-Apr 7.76 0.19 0.45 - 0.07 0.09 - 0.01
17-Jun 7.50 0.22 0.20 - 0.03 0.01 - 0.01
17-Aug 8.50 0.19 0.05 - 0.03 0.04 - 0.01
17-Oct 7.06 0.20 0.10 - 0.03 0.01 - 0.01
17-Dec 8.07 0.26 0.60 0.40 0.05 0.07 - 0.01
Trimmu
Head works
14-Feb 8.31 0.46 1.45 - 0.11 0.05 - 0.01
14-Apr 7.96 0.49 1.67 - 0.04 0.17 - 0.02
14-Jun 8.02 0.47 2.50 - 0.06 0.39 - 0.02
14-Aug 8.38 0.50 1.45 - 0.04 0.27 - 0.02
14-Oct 7.53 0.89 3.64 - 0.08 0.11 - 0.01
14-Dec 7.40 0.67 2.34 - 0.06 0.10 - 0.02
15-Feb 7.60 0.84 1.50 - 0.15 0.09 - 0.02
15-Apr 7.77 0.93 4.45 - 0.10 0.10 - 0.02
15-Jun 8.00 0.47 1.63 - 0.17 0.07 - 0.02
15-Aug 7.99 0.45 1.64 - 0.16 0.17 - 0.02
15-Oct 7.86 0.46 1.28 - 0.13 0.15 - 0.01
15-Dec 7.30 0.37 0.85 - 0.12 0.10 - 0.02
16-Feb 7.86 0.35 0.7 - 0.03 0.06 - 0.02
16-Apr 7.7 0.44 2.2 0.10 0.03 0.01 - 0.01
16-Jun 7.63 0.38 1.54 - 0.08 0.04 - 0.02
16-Aug 6.73 0.37 0.47 - 0.04 0.02 - 0.02
16-Oct 7.17 0.72 3.26 - 0.04 0.02 - 0.01
16-Dec 7.23 0.76 3.32 - 0.04 0.05 - 0.02
17-Feb 8.00 0.86 3.80 - 0.08 0.07 - 0.01
17-Apr 8.10 0.58 2.05 - 0.03 0.04 - 0.02
17-Jun 7.20 0.36 0.67 - 0.03 0.04 - 0.02
17-Aug 8.06 0.45 2.04 - 0.07 0.01 - 0.01
17-Oct 7.88 1.00 4.24 - 0.08 0.05 - 0.02
17-Dec 7.70 0.91 4.23 - 0.02 0.05 - 0.01
Contd..

160
Table B-17: Results of Chemical Analysis of Water Samples from River Jhelum
Contd..
Sampling Site
Reference
Values
9-JUN 1.5 10 2.5 0.2 0.2 5
Sampling
Season pH EC dS/m SAR
RSC
me/l
Cu mg/l Zn mg/l Pb mg/l
Head from
Mangla Dam
14-Feb 7.55 0.20 0.3 - 0.10 0.17 0.02
14-Apr 8.40 0.25 0.16 - 0.06 0.26 0.01
14-Jun 7.23 0.20 0.09 - 0.12 0.12 0.02
14-Aug 7.92 0.19 0.09 - 0.10 0.05 0.01
14-Oct 8.03 0.21 0.09 - 0.07 0.07 0.01
14-Dec 7.76 0.26 0.08 - 0.11 0.13 0.03
15-Feb 7.82 0.26 0.08 - 0.12 0.07 0.01
15-Apr 7.72 0.26 0.09 - 0.12 0.27 0.01
15-Jun 7.80 0.19 0.20 - 0.17 0.09 0.02
15-Aug 7.72 0.21 0.33 - 0.07 0.07 0.01
15-Oct 7.60 0.25 0.08 - 0.11 0.07 0.02
15-Dec 7.70 0.24 0.16 - 0.15 0.07 0.02
16-Feb 7.39 0.26 0.08 - 0.03 0.09 0.01
16-Apr 8.69 0.23 0.19 - 0.05 0.02 0.01
16-Jun 7.20 0.20 0.09 - 0.08 0.02 0.03
16-Aug 7.45 0.19 0.23 - 0.03 0.02 0.02
16-Oct 6.90 0.28 0.27 - 0.05 0.02 0.01
16-Dec 8.50 0.25 0.20 - 0.06 0.02 0.02
River Jehlum
17-Feb 7.10 0.32 0.00 - 0.04 0.02 0.01
17-Apr 7.60 0.18 0.10 - 0.04 0.00 0.01
17-Jun 8.00 0.19 0.11 - 0.03 0.01 0.02
17-Aug 8.63 0.25 0.86 0.50 0.02 0.04 0.01
17-Oct 6.99 0.17 0.11 - 0.04 0.09 0.01
17-Dec 8.00 0.26 0.28 - 0.04 0.04 0.01
Rasool
Barrage
14-Feb 7.83 0.27 0.30 - 0.19 0.09 0.02
14-Apr 8.40 0.25 0.15 - 0.15 0.30 0.01
14-Jun 7.91 0.20 0.09 - 0.09 0.07 0.02
14-Aug 7.93 0.25 0.71 - 0.06 0.11 0.03
14-Oct 7.98 0.23 0.08 - 0.11 0.06 0.01
14-Dec 7.75 0.26 0.08 - 0.10 0.05 0.02
15-Feb 7.88 0.26 0.08 - 0.21 0.23 0.02
15-Apr 7.84 0.28 0.37 - 0.11 0.27 0.01
15-Jun 7.90 0.19 0.32 - 0.16 0.09 0.01
15-Aug 7.82 0.21 0.14 - 0.11 0.10 0.01
15-Oct 7.60 0.24 0.08 - 0.20 0.12 0.02
15-Dec 7.74 0.25 0.16 - 0.06 0.20 0.01
16-Feb 7.60 0.27 0.25 - 0.04 0.04 0.01
16-Apr 8.50 0.25 0.29 - 0.05 0.04 0.01
16-Jun 7.30 0.18 0.21 - 0.05 0.02 0.01
16-Aug 7.56 0.19 0.18 - 0.03 0.00 0.02
16-Oct 7.40 0.25 0.18 - 0.07 0.01 0.01
16-Dec 8.33 0.25 0.10 - Missing
17-Feb 7.20 0.30 0.16 - 0.05 0.00 0.01
17-Apr 7.71 0.18 0.21 - 0.09 0.07 0.01
17-Jun 7.80 0.20 0.10 - 0.04 0.05 0.02
17-Aug 8.21 0.24 0.05 - 0.04 0.00 0.01
17-Oct 7.26 0.21 0.10 - 0.03 0.06 0.01
17-Dec 8.04 0.27 0.37 - 0.04 0.05 0.01

161
Table B-17: Results of Chemical Analysis of Water Samples from River Indus
Sampling
site
Reference
Values
9-Jun 1.5 10 2.5 0.2 0.2 5 0.02
Sampling
Season
pH EC dS/m SAR
RSC
me/l
Cu
mg/l
Zn
mg/l
Pb
mg/l
Ni mg/l
Jinnah
Barrage
15-Feb Not Sampled
15-Apr
15-Jun 8.13 0.17 0.23 - 0.11 0.17 - 0.01
15-Aug 7.60 0.24 0.19 - 0.13 0.3 - 0.01
15-Oct Not Sampled
15-Dec 8.44 0.25 0.45 0.10 0.12 0.07 - 0.02
16-Feb 7.80 0.32 0.47 - 0.03 0.12 - 0.01
16-Apr 8.20 0.32 1.00 0.10 0.04 0.04 - 0.01
16-Jun 8.20 0.33 0.32 - 0.07 0.02 - 0.02
16-Aug Not Sampled
16-Oct 8.46 0.32 0.33 - 0.05 0 - 0.02
16-Dec 7.30 0.33 0.07 - 0.03 0.01 - 0.02
17-Feb 7.60 0.33 0.41 - 0.03 0.10 - 0.01
17-Apr 8.00 0.35 0.33 - 0.03 0.02 - 0.01
17-Jun
Not Sampled
17-Aug
17-Oct
17-Dec 7.50 0.30 0.08 - 0.06 0.04 - 0.01
Chashma
Barrage
15-Feb Not Sampled
15-Apr
15-Jun 8.24 0.24 0.51 - 0.13 0.09 - 0.02
15-Aug 7.54 0.30 0.90 - 0.14 0.23 - 0.02
15-Oct Not Sampled
15-Dec 8.45 0.26 0.45 - 0.13 0.01 - 0.01
16-Feb 7.72 0.33 0.46 - 0.04 0.10 - 0.01
16-Apr 8.00 0.31 0.31 - 0.03 0.04 - 0.01
16-Jun 8.00 0.33 0.60 0.30 0.04 0.02 - 0.02
16-Aug Not Sampled
16-Oct 8.43 0.34 0.41 - 0.06 0 - 0.02
16-Dec 6.60 0.32 0.08 - 0.03 0.01 - 0.02
17-Feb 7.80 0.34 0.41 - Missing
17-Apr 8.00 0.35 0.33 - 0.04 0.04 - 0.01
17-Jun
Not Sampled
17-Aug
17-Oct
17-Dec 7.60 0.29 0.08 - 0.05 0.07 - 0.01
Contd…

162
Table B-17: Results of Chemical Analysis of Water Samples from River Indus
Sampling
site
Reference
Values
9-Jun 1.5 10 2.5 0.2 0.2 5 0.02
Sampling
Season
pH EC dS/m SAR
RSC
me/l
Cu mg/l
Zn
mg/l
Pb
mg/l
Ni mg/l
Head Taunsa
Barrage
14-Feb 7.98 0.32 0.20 - 0.13 0.22 - 0.02
14-Apr 8.31 0.33 0.25 - 0.08 0.13 - 0.02
14-Jun 8.06 0.25 0.34 - 0.07 0.11 - 0.01
14-Aug 8.13 0.23 0.08 - 0.15 0.13 - 0.02
14-Oct 8.06 0.25 0.04 - 0.04 0.10 - 0.02
14-Dec 7.50 0.34 0.50 - 0.06 0.15 - 0.02
15-Feb 7.80 0.37 0.30 - 0.11 0.26 - 0.01
15-Apr Not Sampled
15-Jun 7.90 0.26 0.27 - 0.11 0.20 - 0.02
15-Aug 7.60 0.29 0.25 - 0.09 0.13 - 0.01
15-Oct 7.88 0.32 0.63 - 0.12 0.06 - 0.01
15-Dec 7.70 0.37 0.47 - 0.20 0.27 - 0.01
16-Feb 8.40 0.35 0.51 - 0.03 0.04 - 0.01
16-Apr Not Sampled
16-Jun 7.00 0.24 0.08 - 0.06 0.05 - 0.02
16-Aug 8.00 0.28 0.36 - 0.04 0.09 - 0.01
16-Oct Not Sampled
16-Dec 8.20 0.31 0.33 - 0.04 0.02 - 0.01
17-Feb 7.20 0.37 0.75 - 0.06 0.05 - 0.01
17-Apr 8.00 0.34 0.60 - 0.03 0.02 - 0.01
17-Jun 7.10 0.24 0.08 - 0.03 0.02 - 0.02
17-Aug 8.46 0.22 0.66 0.10 0.05 0.07 - 0.01
17-Oct 7.20 0.37 0.75 - 0.06 0.05 - 0.01
17-Dec 8.00 0.34 0.60 - 0.03 0.02 - 0.01
Indus Barrage
River
Sindh(Ghazi
Chaat Pull)
14-Feb 7.99 0.33 0.10 - 0.14 0.35 - 0.01
14-Apr 8.50 1.90 3.35 - 0.12 0.06 - 0.01
14-Jun 8.14 0.24 0.24 - 0.08 0.10 - 0.02
14-Aug 8.38 0.23 0.08 - 0.07 0.22 - 0.01
14-Oct 8.22 0.30 0.54 - 0.12 0.09 - 0.02
14-Dec 7.50 0.34 0.23 - 0.09 0.16 - 0.03
15-Feb 8.00 0.36 0.14 - 0.08 0.04 - 0.02
15-Apr 7.57 0.43 1.08 - 0.11 0.22 - 0.01
15-Jun 8.20 0.25 0.28 - 0.19 0.07 - 0.01
15-Aug 7.60 0.29 0.16 - 0.12 0.04 - 0.01
15-Oct 7.78 0.31 0.54 - 0.13 0.07 - 0.02
15-Dec 7.90 0.37 0.38 - 0.13 0.04 - 0.01
16-Feb 8.10 0.35 0.51 - 0.03 0.04 - 0.01
16-Apr 8.00 0.30 0.25 - 0.03 0.01 - 0.01
16-Jun 7.20 0.22 0.09 - 0.04 0.00 - 0.01
16-Aug 7.90 0.28 0.36 - 0.03 0.01 - 0.01
16-Oct 7.22 0.26 0.37 - 0.04 0.01 - 0.01
16-Dec 8.10 0.30 - - 0.06 0.06 - 0.02
17-Feb 7.00 0.37 0.47 - 0.06 0.09 - 0.01
17-Apr 8.00 0.34 0.51 - 0.04 0.05 - 0.01
17-Jun 7.60 0.21 0.31 - 0.05 0.01 - 0.02
17-Aug 8.58 0.21 0.05 - 0.04 0.02 - 0.01
17-Oct 8.32 0.31 0.06 - 0.03 0.10 - 0.01
17-Dec 7.26 0.36 0.68 - Missing
Source: Directorate of Land Reclamation Punjab

163
Table B-18: Who Installed the Water Delivery System by Province, 2018-19
Province Urban Rural Total
Punjab
Local Government 42.5 11.0 22.4
Non-Government 15.8 19.5 18.2
Household itself: 41.3 69.0 59.0
Don’t Know 0.4 0.4 0.4
Total 100.0 100.0 100.0
sindh
Don’t Know 0.7 1.6 1.2
Total 100.0 100.0 100.0
Kkyber Pakhtunkhawa *
Don’t Know 1.5 1.8 1.8
Total 100.0 100.0 100.0
Balochistan
Don’t Know 2.9 4.3 3.9
Total 100.0 100.0 100.0
Total
Don’t Know 0.7 1.0 0.9
Total 100.0 100.0 100.0
Source: Pakistan Social and Living Standareds Measurement Survey, PBS.

164
Table B-19: Extent of Water logging and Salinity
a) Canal Command-Wise Various Depth to Water (Logging)
(000 Hectare)
Description
Area Under Various Depth to Water table Ranges
Total Area
0-150cm 150-300cm 300-450cm 450-600cm >600cm
Punjab 355.35 1552.96 1880.73 1463.96 4711 9964.00
Sindh 597.69 3973.28 781.06 273.89 109.97 5735.89
Balochistan 9.04 167.46 72.59 31.52 118.45 399.06
KP 16.91 130.21 99.42 63.68 277.28 587.5
Total 978.99 5823.91 2833.80 1833.05 5216.70 16686.45
b: Canal Command-Wise Various Depth to Water (Salinity)
(000 Hectare)
Description
Area Under Various Depth to Water table Ranges
Total Area
0-150cm 150-300cm 300-450cm 450-600cm >600cm
Punjab 746.92 1375.60 1883.75 1462.4 4495.34 9964.01
Sindh 3274.21 1898.03 422.63 89.00 52.03 5735.90
KP 16.19 119.32 91.47 52.82 307.7 587.50
Balochistan 221.42 3.46 75.45 65.45 33.32 399.10
Total 4258.74 3396.41 2473.30 1669.67 4888.39 16686.51
Source:- Agricultural Statistics (2017-18)

165
Table B-20: Summary of Different Types of Pollutants on the Coast of Pakistan, 2015 to 2019
Area
Oil
Sliks
Tar on
Beaches
Tar
Balls
Industrial
Waste
Domestic
Wastes
Heavy
Metal
Sediment
Thermal
Pollution
Jiwani + + + --- + --- ---
Gwadar + + + + + ----
East Bay + + ---- + + + ----
West Bay ++ + + ++ ++ + ---
Pasni ++ ++ ++ ---- ++ -- ---
Ormara + + + --- --- --- ---
Sonmiani Bay + + ---- + + + ----
Gadani ++ +++ ++++ +++ + ++ ---
Cape Monze ++ ++ +++ ++ + + ----
Paradise Point ++ ++ ++ + + + +++
Buleji ++ ++ ++ + + + +
Hawksbay ++ + + + + + ----
Sandspit ++ + + + + +
Manora Island
(Open Seaside) ++ ---- ---- ++ ++ --- ----
Manora Channel ++++ ---- ---- ++++ +++ +++ ----
Clifton +++ ++ ---- ++ +++ +++ ---
Korangi Creek +++ ---- + +++ +++ +++ ----
Port Qasim +++ ---- ++ +++ ++ +++ ++
Indus Delta +++ ++ + ++ ++ ++ --
Source:- National Institute of Oceanography, Karachi.
Note: - + = Low
++ = Medium
+++ = High
++++ = Highest
---- = Not Available

166
Table B-21: Major Natural Disasters in Pakistan
Source: National Disaster Management Authority
Table B-22: Heavy Rains / Snowfall in February / March 2019
a. Damages / Losses
Provinces Deaths Injured Houses Damaged
Balochistan 13 12 2546
Khyber Pakhtunkhwa 43 75 121
Punjab 19 25 20
AJ&K 7 6 90
Gilgit Baltistan 45 81 360
FATA 0 0 7
TOTAL 127 199 3,144
b. Relief Provided to PDMA Balochistan by NDMA
Items Quantity
Tents 5551
Food packs (10,000 Ration Packs) 422.2 Tons
Blankets 13,796
Plastic Mats 20,000
Buckets 2555
Tarpaulins 300
Water cooler ( 8 ltr ) 80
Year Type of Major Disaster Persons Died
Population
Affected
Houses
Destroyed/
Damaged
Cattle Head
Lost
2014 Flood 367 2.5M 129,880 1.925
2015 Earthquake Punjab, KP,FATA, AJK 272 - 96,046 -
2018 Earthquake KP 1 - - -
2018 Earthquake Balochistan 1 - 2 -
2018 Earthquake FATA - - 1 -
2019 Earthquake Mir Pur, Azad Kashmir 39 329483 8315 -
2019 Earthquake North Western Kashmir - - 1080 45

167
Table B-23: Monsoon 2019 (June - September 2019)
a. Damages / Losses
Provinces Deaths Injured Houses Damaged
ICT
2 - -
Balochistan 12 10 -
Khyber Pakhtunkhwa 78 69 216
Punjab 30 43 123
Sindh
63 17 34
AJ&K
42 18 132
Gilgit Baltistan
8 12 170
TOTAL 235 169 675
b. Relief Provided During Monsoon 2019 by all Stakeholders
Provinces
Wise
Tents
Food
Items
(Tons)
Blankets/Quits
Plastic
mats
Sleeping
bags
Mosquito
nets
Jerry
Cans
NDMA
500 2.1 800 0 0 0 0
Punjab
500 54 0 0 0 0 0
Khyber
Pakhtunkhwa 227 4.25 100 300 0 100 100
Sindh
7,500 0 0 1,500 0 21,350 2,500
Balochistan
50 1 0 0 0 0 0
Gilgit
Baltistan 141 10.91 231 232 0 0 0
AJ&K
150 11 200 200 100 0 0
TOTAL
9068 83.26 1331 2232 100 21450 2600

168
Table B-24: Earthquake 2019 Mirpur Kashmir ( 24 September 2019 )
a. Damages / Losses
Category Quantity
Population affected 329,483
Casualty / Deaths 39
Critically injured 182
Injured 1046
Houses 8,315
Health Facilities 17
Educational infrastructure 151
Roads and Highways ( KM ) 27
Bridges 4
b. Relief Provided During Earthquake by all Stakeholders
Items
Departments
Total
NDMA SDMA
DDMA
(Mirpur)
PDMA (KP)
PDMA
(PB)
Tents 3,000 480 100 200 1,000 4,780
Shelter Tents 769 0 0 0 0 769
School Tents 420 0 0 0 0 420
Blankets 5,900 200 200 400 0 6,700
Ration Packs
1,300
( 21 Kg each)
0 0 0 3,500
4,800
0 0 0
( 9 Kg
each )
Tarpaulins 2,500 0 0 0 0 2,500
Plastic Mats 0 200 60 0 0 260
Mosquito Nets 0 0 0 800 0 800
First Aid Kits 200 0 0 0 0 200
Water Bottles ( Ltrs ) 50,000 0 0 0 0 50,000
Kitchen Sets 275 0 0 200 0 475
Hygiene Kits 0 0 0 200 0 200
Jerry Cans 0 0 0 200 0 200
Gas Cylinders 0 0 0 200 0 200
Water Coolers 0 0 0 200 0 200
Search Lights 0 0 0 200 0 200
Mattress 0 0 0 400 0 400
Generators 0 5 1 0 0 6

169
Table B-25: Earthquake 2019 North Westren Kashmir ( 30 December 2019 )
a. Damages / Losses
Category Quantity
Injured 7
House Pakka Partilly Damage 6
House Kachha Fully Damage 71
House Kachha Partilly Damage 1003
Cattle Shed Damage 375
Livestock 45
b. Relief Provided During Earthquake (30 December 2019) by GBDMA
Items Quantity
Tents 2,377
CGI Sheets 2442
Blankets 1355
Tarpaulins Sheets 776
Plastic Mats 978
Hygiene Kits 259
Water Cane 1184
Solar Lamps 174
Shelter Tool Kit 171
Wood Burning Stove 259
Food Pack 195
Wheat Flour 20 Kgs / bag 100
Mineral Water 1000 ltrs
Pipe of Various Size for restoration of water supply 2300 feet
Kitchen sets 259
Rice 32 Bags
Ghee 100 tin
Daal 16 Bags
Suger 16 Bags
Quilt (Carton ) 20
Cloths 9 Bags
Jackets 156
Table B-26: Financial Assistance Provided during Earthquake -30 December 2019 by GBDA
Category Quantity Compensation Rate Total
Injured 7 150,000 1,050,000
House Pakka Partilly Damage 6 50,000 300,000
House Kachha Fully Damage 71 60,000 4,260,000
House Kachha Partilly Damage 1003 30,000 30,090,000
Cattle Shed Fully Damage 50 30,000 1,500,000
Cattle Shed Damage 325 15,000 4,875,000
Livestock (Cow ) 5 20,000 100,000
Livestock (Goat ) 40 10,000 400,000
Source: National Disaster Management Authorities

170
SECTION - C
Responses to Environmental Impacts
This Section presents a sort of empirical information regarding climate in Pakistan i.e. temperature,
rainfall, clouds, wind pressure and related phenomena. It may be kept in view that secular climatic changes
unfurl in long intervals of time. So the studies to size up the normal’s of say, temperature, air pressure, rainfall
and other climatic variables are recorded. The metrological office utilizes these data to issue daily weather
forecast. This publication also contains the certain tables on the quality of groundwater in some selected
Centres in the four provinces of Pakistan and Gilgit Baltastan (GB). This chapter also cover the information
in respect of Forest Area, Share of Forestry in value added of Agriculture Sector.
The following paragraphs provide a generalized scenario regarding climate, temperature, rainfall and
air pressure.
C-I Climate
The following factors characterize the climate of Pakistan:-
1. The major area of the country is dominated by dry climate while small areas in south experience
tropical climate.
2. The subtropical location of Pakistan extends approximately from 23 1/20 N to 370 N latitudes. This
tends to keep the temperature high, particularly in summer.
3. The oceanic influence of the Arabian Sea keeps down the temperature contrast between summer
and winter at the coasts.
4. The continental effect emphasis the differences in temperature between summer and winter in the
interior of the country.
5. The higher altitudes in the west and north keep down the temperature throughout the year. In the
extreme north because of great heights, the mountain tops record freezing temperature all the year
round. The hills and mountains also attract more rain than the plains do.
6. The monsoon winds which come in July and continue to blow upto September bring rainfall. Pakistan
receives only the tail-end of the monsoons, therefore the monsoon season is neither as prolonged
nor as wet as that in India generally.

171
7. The Western Depressions originating from the Mediterranean region and entering Pakistan from the
west bring rainfall alongwith cyclones in winter. These cyclones make a long land journey before
coming to Pakistan and are thus robbed of most of their moisture by the time they reach Pakistan.
8. Thunderstorms cause some amount of rainfall particularly in the north.
9. A temperature inversion layer at a low elevation of approximately 1,500 meters (5,000 feet) in the
southern part of Pakistan during the summer season does not allow the moisture-laden air to rise
and condensation to take place. (Khan, 1991).
C-II Temperature
Pakistan has all the four seasons and the temperature varies from one season to another as well as
from region to region. The temperature variation can be arranged in the following categories:
Hot: 320 C or more (900 F or more)
Warm: 210 C to 320 C (70 0 F to 890 F)
Mild: 100 C to 210 C (50 0 F to 690 F)
Cold: 00 C to 100 C (320 F to 490 F)
Cold below: 00 C ( 320 F)
The country can be divided into the following temperature zones:-
1. Hot summer and mild winter: The temperature varies between 320 C to 440 or more in
summer while 100 C to 210 C in winter.
2. Warmer summer and mild winter: Summer temperature lies between 210 C and 32 0 C,
and winter’s between 100 C and 210 C.

172
3. Warm summer and cool winter: Summer between 210 C and 32 0 C and coolest month
temperature between 00 C and 100 C.
4. Mild summer and cool/cold winter: Summer temperature between 100 C and 21 0 C and
the coolest month (January) temperature less than 00 C in some areas and between 00 C
and 100 C in other areas.
Data on temperature (minimum & maximum) and rainfall are recorded at selected station daily by
the metrological observators. The metrological observers also record other meterological elements like air
pressure, temperature, hummidity etc. Marginal variations of temperature can be review in the country
from one year to another as depicted by Table C-02.
C-III Rain Fall
The major part of Pakistan experiences dry climate. Humid conditions prevail in a small area in the
north. The whole of Sindh, most part of Balochistan and major part of Punjab, south of Sahiwal and the
central part of northern areas receive less than 250 mm/10 inches of rainfall in a year. Three large areas i.e.
i) Northern Sindh and Southern Punjab ii) North Western Balochistan and iii) the central part of the Northern
areas have to content with an annual rainfall of less than 125 mm. To the North of Sahiwal rain fall steadily
increases and aridity starts to diminish. However, the true humid condition appear after rain fall increase to
750 mm/30 inches on the plains and 625 mm/25 inches on the highlands.
There are two sources of rainfall in Pakistan, the Monsoons and the Western Depressions. The
monsoons rainfall takes place from July to September. The Western Depressions bring rainfall primarily from
December to March. In the intervening periods October-November and April-June a small quantity of rainfall
comes form thunderstorms (Kureshi, 1991).
C-IV Pressure and Winds
In summer, the land becomes heated and a low-pressure area is created in southwestern Pakistan.
In the month of July, atmospheric pressure is lowest in the vicinity of Multan and rises north-ward and
southward. This low-pressure area attracts winds from the Indian Ocean. Some colonic storms migrate to
this low area all the way across northern Indian Ocean from the Bay of Bengal, although their moisture
content decreases as they move westward, it is these storms, which bring most of Pakistan's rainfall. Winds
sucked in from the Arabian Sea bring less moisture because these air streams have originated over Arabia,
and have lower moisture content. Nevertheless, they do produce some rain in the western mountains.

173
In winter, the temperatures over the land are relatively low and high pressures areas are established
particularly in the month of December and January. The pressure generally decreases from North to South.
Thus, while the prevailing direction of the winter monsoons over the sub-continent as a whole is north-east
to south-west, over Pakistan it is almost from north to south. Since these winds blow from the land towards
the sea, they are generally dry. (Kureshi, 1991). Certain observations are summarised below, after
review/analyses the air pressure and vapour pressure data in Table C-04 & Table-C-05.
- A lowest air pressure (824.7 mbs) at mean station level was recorded in 2011 at Parachinar,
which is the lowest air pressure among 15 selected Centres (Table C-04).
- A highest air pressure (1008.2 mbs) at mean station level was recorded in 2019 at Chhor,
which is the highest air pressure among 15 selected Centres (Table C-04).
- A lowest vapour pressure (5.6 mbs) was recorded in 2000 at Quetta, which is the lowest
vapour pressure among 15 selected Centres (Table C-05).
- A highest vapour pressure (25.0 mbs) was recorded in 2001 at Chhor, which is the highest
vapour pressure among 15 selected Centres (Table C-05).

174
Table C-01: Sunshine Hours at Selected Centres (Percentage of Long Term average)
Year
Karachi
(Airport)(22)
Lahore
(213)
Peshawar
(359)
Quetta
(1600)
Jacobabad
(55)
1997 58.0 ---- ---- ---- ----
1998 66.1 65.5 66.9 ---- ----
1999 64.8 67.6 63.0 74.6 76.8
2000 64.2 65.6 61.2 77.2 76.1
2001 66.1 67.1 65.4 75.2 67.5
2002 ---- 66.8 61.1 72.8 61.8
2003 ---- 64.6 62.5 ---- 66.7
2004 ---- 66.3 62.8 ---- 64.4
2005 ---- 65.3 59.8 ---- 70.3
2006 ---- 64.1 ---- ---- 63.1
2007 64.2 65.1 ---- ---- 70.7
2008 58.2 ---- ---- 78.2 65.7
2009 61.2 65.1 ---- 79.6 69.8
2010 ---- 64.3 ---- ---- ----
2011 56.8 65.3 ---- 76.1 ----
2012 52.6 66.4 ---- ---- ----
2013 54.8 57.0 ---- ---- ----
2014 56.3 56.4 ---- ---- ----
2015 58.1 55.0 ---- ---- ----
2016 53.8 53.6 ---- ---- ----
2017 56.8 52.8 ---- ---- ----
2018 ---- 55.9 ---- ---- ----
2019 ---- ---- ---- ---- ----
Source: Pakistan Metrological Department
----: Data Not Available

175
Table C-02: Temperature at Selected Centres (Mean of Maximum)
(Centigrade)
Year/
Stations
Karachi
(Airport)(21)
Nawabshah
(37)
Hyderabad
(40)
Jacobabad
(55)
Lahore
(213)
Multan
(122)
Islamabad
(507)
Jhelum
(232)
Sargodha
(187)
1997 31.3 34.4 32.8 32.6 28.6 30.9 27.1 28.8 29.5
1998 32.7 36.0 34.2 34.5 30.6 32.7 28.9 30.6 31.6
1999 32.3 36.0 34.1 34.6 31.2 33.2 29.8 31.4 32.8
2000 32.3 36.7 34.4 35.2 30.9 33.3 29.8 31.2 32.2
2001 32.6 36.8 34.6 35.1 30.7 32.8 30.2 31.6 31.8
2002 32.2 37.4 35.0 35.2 31.1 33.5 30.1 31.8 32.3
2003 32.8 36.0 34.0 34.3 29.9 32.7 28.8 30.2 31.1
2004 32.8 37.1 35.0 35.0 30.8 33.1 29.5 31.4 32.3
2005 32.1 35.7 33.9 33.5 29.9 31.7 28.3 30.3 30.7
2006 32.3 36.4 34.1 34.5 30.6 32.9 29.3 30.9 31.7
2007 32.9 36.0 34.3 34.2 30.5 32.5 29.1 30.5 31.5
2008 32.0 35.8 33.7 34.0 30.2 32.0 28.7 30.2 31.3
2009 32.9 36.2 34.3 34.3 31.1 32.8 29.5 31.4 32.2
2010 33.0 36.6 34.7 ---- 30.8 32.9 29.8 31.5 31.7
2011 32.4 ---- 33.6 33.6 29.9 32.2 28.9 30.8 31.2
2012 32.0 35.3 33.9 33.5 30.3 32.1 29.2 31.2 31.0
2013 32.4 35.6 33.9 33.7 30.0 32.0 28.8 30.7 30.8
2014 32.7 35.8 33.8 34.0 29.8 31.4 28.3 30.0 29.9
2015 32.9 35.7 33.8 33.1 29.8 31.4 28.2 29.9 29.9
2016 33.0 36.8 34.5 35.0 31.2 32.8 30.1 31.5 31.1
2017 32.8 36.3 34.1 34.7 30.9 32.1 29.5 31.1 30.8
2018 33.4 36.9 35.1 34.1 31.1 32.4 29.6 31.5 31.2
2019 32.2 35.0 33.9 33.7 29.6 30.1 ---- 29.6 ----
Contd..

176
Table C-02: Temperature at Selected Centres (Mean of Maximum)
(Centigrades)
Year/
Stations
Faisalabad
(183)
Bahawalpur
(116)
Peshawar
(359)
D.i.Khan
(173)
Quetta
(1600)
Zhob
(1405)
Dalbandin
(848)
Khuzdar
(1231)
Panjgur
(980)
1997 29.3 31.6 28.8 30.3 24.1 26.7 31.0 27.8 29.0
1998 31.1 33.1 30.1 32.0 26.0 ---- 32.7 29.8 30.6
1999 31.9 33.7 31.2 32.3 25.8 ---- 32.3 30.1 30.8
2000 31.9 33.7 30.0 32.5 26.2 27.9 32.9 ---- 31.3
2001 31.3 33.7 30.2 32.2 26.4 28.0 33.3 ---- 31.4
2002 32.0 34.5 29.6 32.7 25.9 27.6 33.4 30.1 31.3
2003 31.0 33.5 29.1 31.6 25.2 26.8 32.8 29.1 30.3
2004 31.8 34.2 30.2 32.4 26.3 28.5 33.7 30.1 31.4
2005 30.6 32.7 28.7 30.7 24.5 26.1 ---- ---- 30.3
2006 31.5 33.5 29.7 31.8 26.3 27.3 33.8 29.1 31.3
2007 31.5 33.0 29.6 31.4 25.1 26.9 32.8 28.4 29.9
2008 30.9 32.4 29.2 31.4 25.8 27.0 33.1 28.9 30.6
2009 31.7 33.1 29.8 31.9 25.4 26.9 33.0 28.9 31.0
2010 31.6 33.4 30.0 31.6 26.0 27.6 33.7 29.6 31.4
2011 30.7 32.7 29.5 31.2 25.2 27.0 33.0 28.8 31.4
2012 30.9 32.3 28.9 31.0 24.1 25.8 32.5 29.3 30.6
2013 31.1 32.8 28.9 31.5 25.0 26.9 33.3 29.3 31.0
2014 30.4 32.1 28.8 31.2 24.8 26.7 32.6 29.0 29.7
2015 30.3 31.7 28.7 31.1 25.6 26.8 33.2 29.7 30.9
2016 31.7 33.6 30.2 32.5 26.5 28.1 ---- ---- 30.7
2017 31.3 33.0 29.6 32.7 25.1 27.4 33.4 30.4 31.7
2018 31.7 33.1 29.5 33.1 25.7 27.6 33.3 30.3 32.1
2019 29.5 30.5 ---- 30.4 ---- 23.4 29.6 26.8 28.4
Contd..

177
Table C-02: Temperature at Selected Centres (Mean of Minimum)
(Centigrades)
Year/
Stations
Karachi
(Airport)(21)
Nawabshah
(37)
Hyderabad
(40)
Jacobabad
(55)
Lahore
(213)
Multan
(122)
Islamabad
(507)
Jhelum
(232)
Sargodha
(187)
1997 21.1 ---- 20.9 19.9 18.6 17.8 14.3 16.7 17.3
1998 21.9 18.4 21.7 20.5 19.3 18.6 14.8 17.1 17.7
1999 21.9 18.0 21.6 20.5 19.7 18.9 15.5 17.8 18.4
2000 21.9 17.9 21.1 19.9 19.4 18.6 15.5 17.4 18.1
2001 22.2 18.6 20.8 20.2 19.5 18.8 15.4 16.9 18.0
2002 21.4 18.7 21.1 20.6 20.1 19.0 15.5 17.8 18.1
2003 21.2 18.0 20.9 20.6 19.5 18.5 14.9 17.5 18.0
2004 21.9 18.7 21.3 21.0 20.3 19.1 15.4 17.8 18.6
2005 21.8 17.9 20.7 20.5 19.4 18.1 14.6 17.1 17.5
2006 22.5 18.9 21.0 21.6 20.3 19.6 16.0 18.4 18.8
2007 22.2 17.4 21.4 21.3 19.8 19.0 15.1 17.1 18.0
2008 21.6 16.1 21.2 20.9 19.8 18.8 15.6 17.2 17.8
2009 22.3 19.0 21.7 21.0 20.0 18.9 15.6 17.3 17.9
2010 21.9 18.3 21.4 ---- 20.1 19.4 16.2 17.3 18.5
2011 21.7 ---- 20.7 20.8 19.5 19.3 15.9 17.0 18.2
2012 21.5 18.8 20.0 20.2 18.4 18.7 15.7 16.5 17.7
2013 21.9 19.5 20.7 20.8 17.9 19.7 16.2 17.0 18.3
2014 21.7 19.0 20.6 19.1 17.9 19.0 15.6 16.4 17.3
2015 22.4 19.4 20.9 19.5 18.8 19.3 16.0 16.9 17.5
2016 22.5 19.6 20.8 20.9 19.0 20.4 16.8 17.2 18.0
2017 22.2 19.4 20.6 20.4 19.2 19.9 16.7 17.2 17.7
2018 22.2 19.6 20.7 21.4 19.5 19.7 16.3 17.0 17.6
2019 21.2 18.2 18.8 19.2 17.7 17.5 ---- 15.3 ----
Contd..

178
Table C-02: Temperature at Selected Centres (Mean of Minimum)
(Centigrade)
Year/
Stations
Faisalabad
(183)
Bahawalpur
(116)
Peshawar
(359)
D.i.
Khan
(173)
Quetta
(1600)
Zhob
(1405)
Dalbandin
(848)
Khuzdar
(1231)
Panjgur
(980)
1997 16.6 17.7 15.5 15.6 8.7 11.0 14.3 10.9 14.4
1998 17.3 18.2 15.9 16.0 8.4 13.2 15.6 ---- 15.4
1999 18.0 18.0 16.8 18.0 9.4 13.7 15.4 ---- 15.6
2000 17.6 18.7 17.1 18.1 8.3 13.4 12.4 16.0 15.7
2001 17.7 18.0 17.3 18.3 8.9 12.7 ---- 16.0 15.9
2002 18.0 19.0 17.5 17.2 9.1 ---- ---- 16.1 15.8
2003 17.7 18.3 16.7 15.9 8.9 ---- ---- ---- 15.9
2004 18.1 19.5 17.3 17.2 9.3 12.0 ---- 16.5 16.1
2005 17.0 18.4 16.3 16.5 8.8 10.9 ---- 15.4 14.6
2006 18.5 19.7 17.7 16.8 10.9 10.5 ---- 15.5 15.6
2007 17.3 19.4 16.9 16.8 8.6 9.8 14.2 15.4 15.3
2008 17.1 18.7 16.6 17.4 8.5 8.7 ---- 15.8 15.1
2009 17.0 18.6 16.9 17.2 9.4 12.6 15.3 14.8 16.0
2010 17.5 17.8 17.1 17.6 9.5 12.9 14.1 15.6 15.6
2011 17.6 19.1 17.1 17.5 9.7 13.0 14.8 15.5 16.1
2012 17.3 18.4 16.5 16.4 8.4 12.0 13.0 14.8 14.1
2013 18.2 19.3 17.2 16.9 9.7 12.9 14.2 14.7 15.7
2014 17.5 18.8 16.5 15.8 9.2 12.5 13.9 15.2 15.4
2015 18.1 18.7 16.5 15.9 10.0 12.0 13.9 17.0 15.3
2016 18.9 19.6 17.7 17.8 10.5 13.0 ---- ---- 15.1
2017 18.5 18.9 17.4 18.0 9.9 12.8 12.6 15.5 15.6
2018 18.4 19.1 ---- 18.2 10.5 13.7 14.7 16.7 16.0
2019 16.2 16.8 ---- 15.3 ---- 10.3 12.4 13.6 14.3

179
Figure:1 Mean Monthly Maximum/Minimum Temperature (oC) Islamabad (SRC)
January February March April May June July August
Septembe
r
October November December Annual
2015 33 18.6 20.3 22.5 28.5 34.6 36.2 33.6 33.4 28.7 23.6 19.8 27.7
2016 35.3 17.7 22 24.1 30.2 37.2 38.7 34.1 34.4 32.4 25.9 23.6 29.6
2017 34.5 16.4 21.8 24.6 31.6 35.9 36 33.6 33.5 32.1 24 20.4 28.7
2018 34.8 20.3 21.7 26.8 30.9 34.2 37.7 33.5 32.8 28.7 23.5 18.9 28.7
0
5
10
15
20
25
30
35
40
45
Percent
Maximum Temperature
Septembe
r
2015 3 7.2 10.4 15.3 18.1 22.1 24.2 23.9 19.8 14.9 8.7 3.8 14.3
2016 3.7 5.9 11.4 14.8 20 24.1 24.2 23.1 22.2 15 7.7 3.9 14.7
2017 5 7.2 9.6 14.8 20.2 22.8 24.2 23.4 20.4 14.5 7.9 3.7 14.5
2018 2 5.6 11.3 15 18.7 23.8 24.1 24.1 21.4 13 7.7 2.5 14.1
0
5
10
15
20
25
30
Percent
Minimum Temperature

180
Figure:2 Mean Monthly Maximum/Minimum Temperature (oC) Lahore (PBO)
Septembe
r
2015 34.2 16.6 22.6 25.1 32.7 39.1 38.1 34.6 34.5 32 26.6 21.8 29.8
2016 35.8 17.6 23.6 28 35.6 40.2 39.6 34.1 35.1 33.8 27.7 23.1 31.2
2017 35.6 18.4 24.4 28 36.5 39 36.9 35.4 35 34.2 24.5 22.7 30.9
2018 34.5 20.7 24.3 30.1 35.3 39.3 38.4 35.9 34.7 32.1 26.8 21.4 31.1
0
5
10
15
20
25
30
35
40
45
Percent
Maximum Temperature
Septembe
r
2015 7.7 11.6 14.4 20.8 25.3 26.3 25.4 26.6 25.1 20.2 13.5 8.4 18.8
2016 8.1 9.9 15.9 21.2 25.7 27.6 25.9 25.6 25.5 20.5 13 9.3 19
2017 8.5 11.6 15.7 22.4 25.9 26.2 27 26.8 24.1 20.8 12.8 8.9 19.2
2018 7.9 11.4 17.7 22.2 25.9 27.3 26.5 28 25.3 19.9 14.3 8.1 19.5
0
5
10
15
20
25
30
Percent
Minimum Temperature

181
Figure:3 Mean Monthly Maximum/Minimum Temperature (oC) Karachi (Airport)
Septembe
r
2015 26.3 28.9 31.5 35.9 36 37.7 34.1 32.3 34.6 35.8 33 28.6 32.9
2016 27.8 30.3 33.3 34.7 35.7 36.1 33.6 33 32.9 34 33.3 31 33
2017 25.4 30.2 32.8 35.5 36.2 36.3 33.1 33.8 33.4 36.6 32.3 28.2 32.8
2018 28.5 30.4 34.4 36.2 38.7 35.4 33.8 31.9 32.6 36.8 33.8 28.2 33.4
0
5
10
15
20
25
30
35
40
45
Percent
Maximum Temperature
Septembe
r
2015 12.6 16.4 19.2 25.7 27.7 29.8 28.4 26.9 26.3 24.9 18.6 12.6 22.4
2016 14.8 14.9 21.7 24.6 27.9 27.9 28.1 27.1 26.4 24 17.1 15.5 22.5
2017 12.5 18.2 20.3 24.4 27.8 29.2 27.7 27 26.2 23.5 16.8 13 22.2
2018 12.9 15.8 20.9 25.3 27.7 28.8 28.1 26.3 25.5 23 19.3 13.1 22.2
0
5
10
15
20
25
30
35
Percent
Minimum Temperature

182
Figure:4 Mean Monthly Maximum/Minimum Temperature (oC) Peshawar (Airport)
Septembe
r
2015 35.9 18.7 20.6 23 30 35.2 38.4 34.5 34.1 30.6 23.8 19.7 28.7
2016 37.1 17.2 23 24.1 30.7 38.1 39.4 36.6 35.5 32.5 25.7 22.4 30.2
2017 36.5 16.2 21.4 24.9 32.9 37.8 38.1 35.5 35.3 32.6 23.5 20.7 29.6
2018 35.9 19.4 21.1 27.1 30.8 34.6 39.9 35.7 35.1 29.5 24.5 19.9 29.5
0
5
10
15
20
25
30
35
40
45
Percent
Maximum Temperature
Septembe
r
2015 5.1 8.9 11.9 17.3 21.8 24.9 26 24.5 21.9 17.7 11.3 6.3 16.5
2016 6.2 8.4 13.4 17.1 24 26.9 27.2 25.5 24.6 19.3 12.1 7.8 17.7
2017 6.6 9 12.3 18.3 24.3 26.1 26.6 25.7 23 18.9 11.3 6.9 17.4
2018 5.4 9.5 14.3 18.4 21.6 26.5 26.1 26.8 23.5 16.5 11.1 5.2 17.1
0
5
10
15
20
25
30
Percent
Minimum Temperature

183
Figure:5 Mean Monthly Maximum/Minimum Temperature (oC) Quetta (S. MANDA)
Septembe
r
2015 36 14.8 17.2 18 26.6 32 35.4 36.1 31.3 27.8 19.4 14.6 25.8
2016 38.4 15.7 17.3 19.9 26.5 33.9 36.8 35.4 31.3 27.6 21.1 20.2 27
2017 37.5 11.7 13.9 19.5 27.4 32.7 36.8 35.7 32.2 28.5 20.5 15.8 26
2018 37.8 16.3 17 23 26.7 30.7 36.8 37.1 32.8 25.3 21 17 26.8
0
5
10
15
20
25
30
35
40
45
Percent
Maximum Temperature
Septembe
r
2015 -0.6 3.5 6 11.2 15 20.1 22 19 12.5 9.4 5 -1.5 10.1
2016 0.5 -0.5 7.5 10.1 15.6 20.8 22.5 18.5 12.5 7 1.4 0.7 9.7
2017 -0.6 1.9 5.7 8.9 13.7 18.8 19.7 16 12.7 5.6 1.6 -4.4 8.3
2018 -4.5 -0.2 5.7 10.3 13.2 18.4 21.1 19 11.9 6.1 2.9 -3 8.4
-10
-5
0
5
10
15
20
25
Percent
Minimum Temperature

184
Table C-03: Rainfall at Selected Centres
(Milimeter)
Year/
Stations
Karachi
(Airport)(21)
Nawabshah
(37)
Hyderabad
(40)
Jacobabad
(55)
Lahore
(213)
Multan
(122)
Islamabad
(507)
Jhelum
(232)
Sargodha
(187)
1997 150.1 107.3 57.0 272.1 1232.5 264.2 1413.8 1335.7 628.9
1998 82.4 60.9 49.3 39.3 492.6 135.6 1297.6 961.4 411.3
1999 14.5 20.5 79.4 89.3 473.7 177.2 1006.3 628.3 373.4
2000 46.9 46.0 55.0 19.0 557.3 83.0 999.1 840.4 452.1
2001 100.4 56.5 171.3 17.8 535.7 297.9 1177.7 746.7 611.5
2002 55.8 4.0 9.0 17.1 333.7 101.4 930.5 532.6 529.8
2003 324.9 339.9 405.6 210.0 627.5 159.8 1247.0 961.5 423.9
2004 65.9 30.0 129.5 49.6 495.2 189.8 1026.3 858.9 362.0
2005 97.2 57.9 52.4 61.8 652.2 300.5 979.0 662.2 645.0
2006 301.1 293.6 524.9 94.2 750.8 144.7 1598.0 1232.9 481.0
2007 465.6 243.4 241.9 183.0 660.3 262.0 1796.0 832.7 718.0
2008 121.6 109.1 156.6 187.7 614.0 247.5 1388.0 826.2 591.0
2009 279.9 106.8 202.2 42.8 372.2 119.2 607.0 542.2 266.0
2010 372.9 342.6 214.1 ---- 540.7 287.0 1088.0 791.3 523.0
2011 290.2 ---- 71.4 293.3 856.9 186.0 1254.0 748.3 733.0
2012 152.1 182.2 121.0 485.8 582.9 239.0 1029.5 717.4 370.0
2013 168.9 105.5 108.9 345.3 902.8 225.7 1900.0 924.4 424.0
2014 30.7 66.7 24.2 21.3 785.9 257.5 1667.0 939.3 579.0
2015 53.2 115.3 131.2 155.5 857.2 394.6 1779.0 1018.6 647.0
2016 167.7 143.0 165.8 46.0 806.5 196.5 922.0 890.1 750.0
2017 232.2 98.5 121.8 79.0 628.1 237.9 965.1 998.4 505.9
2018 0.8 6.0 8.8 20.2 610.6 59.6 1213.0 715.4 534.0
2019 43.2 48.9 20.2 136.0 235.2 145.5 ---- 334.0 ----
Contd..

185
Table C-03: Rainfall at Selected Centres
(Milimeter)
Year/
Stations
Faisalabad
(183)
Bahawalpur
(116)
Peshawar
(359)
D.i.Khan
(173)
Quetta
(1600)
Zhob
(1405)
Dalbandin
(848)
Khuzdar
(1231)
Panjgur
(980)
1997 806.7 304.2 443.6 277.8 309.0 495.0 121.3 357.0 304.3
1998 332.1 159.4 572.6 253.0 187.0 252.5 74.8 220.5 81.5
1999 187.9 120.6 417.8 182.0 106.0 199.8 74.9 170.0 63.5
2000 212.1 79.3 258.8 256.3 164.5 163.4 3.5 133.2 21.5
2001 371.9 182.4 263.1 327.0 93.5 117.7 32.3 165.3 33.8
2002 274.1 41.9 388.0 148.3 179.3 276.6 7.0 52.3 43.1
2003 379.2 184.6 904.5 249.2 249.5 243.3 173.9 198.9 38.0
2004 376.6 146.8 454.0 304.6 121.8 184.9 86.2 92.3 74.0
2005 518.2 197.3 625.0 497.0 310.5 359.8 ---- 383.1 165.9
2006 444.4 167.7 497.5 213.2 206.5 303.6 67.1 268.6 123.0
2007 351.7 227.6 685.0 416.4 297.0 357.4 153.8 274.3 162.9
2008 656.8 220.5 779.0 486.1 134.5 304.7 82.7 302.2 75.5
2009 376.9 146.8 623.0 282.1 289.0 269.5 62.4 217.1 59.5
2010 544.7 175.5 839.0 756.3 133.0 301.8 20.0 159.2 53.5
2011 544.9 164.2 568.0 283.3 459.0 109.6 69.3 370.0 139.0
2012 361.3 184.9 461.5 450.1 313.0 262.6 24.1 233.1 64.0
2013 378.1 148.6 596.0 327.4 286.5 220.9 83.4 481.2 124.6
2014 480.7 67.9 360.4 276.9 180.0 191.0 27.0 160.1 74.0
2015 518.5 511.3 825.5 497.4 212.0 368.1 68.5 157.6 61.0
2016 429.8 112.2 360.5 455.4 159.0 120.0 ---- 176.2 57.0
2017 327.6 143.9 503.0 228.0 192.5 194.7 41.8 228.5 39.0
2018 351.5 103.0 511.9 123.4 122.0 181.0 16.9 110.9 9.0
2019 225.2 124.4 ---- 226.9 ---- 208.0 141.2 200.4 47.0
----: Data Not Available,

186
Table C-04: Air Pressure at Selected Centres
Year/
station
Karachi (Airport) Hyderabad Jacobabad
Mean Station
Level Pressure
(Mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
Mean Station
Level Pressure
(mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
Mean Station
Level Pressure
(mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
1997 1006.7 1009.4 1003.1 1008.0 1001.6 1008.0
1998 1006.0 1008.6 1002.1 1007.0 1000.9 1007.3
1999 1005.6 1008.0 1001.5 1006.3 999.9 1006.2
2000 1005.0 1007.7 1001.3 1006.2 999.4 1005.7
2001 1005.4 1007.7 1001.8 1006.7 999.7 1006.4
2002 1006.0 1008.7 1002.2 1007.1 1000.4 1006.7
2003 1006.0 1008.7 1002.3 1007.2 1000.9 1007.2
2004 1005.8 1008.5 1002.4 1007.0 1000.4 1006.7
2005 1006.0 1008.7 1002.5 1007.4 1001.0 1007.3
2006 1005.7 1008.4 1002.0 1006.8 1000.5 1006.7
2007 1005.3 1008.0 1002.0 1006.9 1000.7 1006.7
2008 1005.4 1008.1 1002.0 1006.9 1000.1 1006.4
2009 1005.6 1008.4 1002.2 1005.8 1000.6 1006.9
2010 1005.1 1007.7 1001.7 1006.6 ---- ----
2011 1004.9 1007.6 1001.3 1006.2 ---- ----
2012 1005.3 1008.0 1001.5 1006.4 1000.4 1006.6
2013 1005.4 1008.1 1001.8 1006.8 1000.8 1006.8
2014 1006.5 1008.9 1002.8 1007.7 1001.2 1007.5
2015 1006.4 1009.1 1003.2 1008.1 1001.6 1008.0
2016 1005.8 1008.5 1002.3 1007.2 1000.6 1006.9
2017 1005.7 1008.4 1002.3 1007.2 1001.4 1007.3
2018 1005.4 1008.1 1001.9 1006.7 1000.4 1006.7
2019 1007.2 1010.0 1004.1 1009.0 1002.6 1008.9
Contd..

187
Year/
Station
Dalbandin Jiwani Panjgur
Mean Station
Level Pressure
(Mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
Mean Station
Level Pressure
(mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
Mean Station
Level Pressure
(mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
1997 915.0 1482.3 1002.6 1008.9 902.7 1496.9
1998 915.4 1492.7 1002.0 1008.3 903.0 1501.9
1999 914.6 1486.3 1001.4 1007.8 900.3 1477.9
2000 914.2 1477.7 1000.9 1007.3 899.9 1472.8
2001 914.6 1484.0 1001.3 1007.8 898.4 1477.7
2002 915.1 1486.9 1002.0 1008.4 900.7 1479.7
2003 915.4 1485.5 1002.1 1008.5 900.9 1481.4
2004 915.0 1488.1 1001.7 1008.1 901.1 1485.4
2005 ---- ---- 1001.8 1008.2 900.4 1480.0
2006 914.5 1483.2 1001.5 1007.9 900.2 1476.1
2007 914.7 1483.9 1001.3 1007.7 900.6 1477.0
2008 914.3 1477.9 1001.3 1007.7 900.2 1474.3
2009 914.4 1473.5 1001.2 1007.8 900.6 1480.4
2010 914.4 1480.6 1001.3 1007.6 900.6 1481.3
2011 914.1 1470.5 1000.8 1007.1 900.1 1474.6
2012 914.5 1477.1 1001.2 1007.5 900.4 1478.0
2013 914.5 1484.0 1001.5 1007.9 900.6 1478.4
2014 915.5 1486.0 1002.1 1008.5 900.5 1476.7
2015 916.1 1490.8 1002.3 1008.6 900.3 1475.7
2016 ---- ---- ---- ---- 898.4 1470.4
2017 915.5 1486.1 1002.0 1008.5 900.2 1475.1
2018 914.9 1483.3 1001.9 1008.3 900.0 1474.6
2019 916.1 1488.7 1004.1 1010.6 902.2 1491.6
Contd..

188
Year
station
Peshawar Parachinar Jhelum
Mean Station
Level Pressure
(Mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
Mean Station
Level Pressure
(mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
Mean Station
Level Pressure
(mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
1997 967.9 1008.5 826.7 1488.9 981.9 1008.5
1998 967.9 1008.0 827.1 1491.2 981.2 1007.3
1999 966.4 1006.6 826.0 1481.6 979.8 1006.2
2000 965.9 1006.2 825.8 1477.4 979.6 1006.0
2001 966.4 1006.7 826.5 1483.9 980.4 1006.9
2002 966.9 1007.3 826.9 1488.5 980.6 1007.1
2003 967.4 1007.8 826.8 1485.0 981.1 1007.6
2004 967.7 1008.1 826.6 1486.3 980.7 1007.2
2005 968.2 1008.7 826.4 1485.3 981.2 1007.8
2006 968.0 1008.3 826.8 1488.8 980.0 1007.5
2007 967.6 1008.0 826.6 1489.7 980.8 1007.3
2008 967.2 1006.4 825.6 1476.8 980.7 1007.3
2009 967.9 1008.2 825.9 1481.2 981.0 1007.4
2010 967.4 1006.5 826.1 1486.3 980.7 1007.1
2011 966.9 1007.3 824.7 1468.4 980.4 1006.9
2012 967.2 1007.6 825.4 1477.7 980.4 1006.9
2013 967.2 1005.6 826.4 1489.4 980.9 1007.4
2014 968.4 1008.9 ---- ---- 981.6 1008.3
2015 968.8 1009.4 ---- ---- 982.1 1008.7
2016 967.8 1008.2 826.3 1485.8 980.8 1007.3
2017 967.8 1005.9 826.3 1484.4 981.0 1007.5
2018 ---- ---- 825.8 1479.0 980.6 1007.1
2019 ---- ---- 827.2 1496.1 982.6 1009.3
Contd..

189
Year
station
D.I.Khan Lahore Quetta
Mean Station
Level Pressure
(Mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
Mean Station
Level Pressure
(mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
Mean Station
Level Pressure
(mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
1997 988.7 1008.3 984.1 1008.5 838.5 1472.3
1998 987.8 1007.4 983.2 1007.6 839.0 1477.0
1999 986.6 1006.1 982.1 1006.4 838.4 1469.6
2000 986.4 1005.8 981.8 1006.0 838.0 1465.5
2001 987.1 1006.6 982.6 1006.8 838.5 1470.6
2002 987.4 1006.9 982.8 1007.0 838.7 1473.6
2003 987.7 1007.3 983.2 1007.5 838.8 1474.5
2004 987.4 1006.9 982.9 1007.1 840.8 1492.7
2005 988.0 1007.6 983.3 1007.6 840.6 1492.9
2006 987.7 1007.2 983.2 1007.5 841.4 1491.7
2007 987.4 1006.9 982.9 1007.2 840.5 1491.9
2008 987.2 1006.8 982.8 1007.1 840.3 1489.1
2009 987.7 1007.3 983.2 1007.4 840.7 1492.1
2010 987.4 1006.9 983.0 1007.2 840.7 1488.8
2011 987.1 1006.7 982.6 1006.9 840.1 1492.1
2012 987.5 1006.7 982.7 1007.0 840.2 1484.9
2013 987.4 1007.2 983.2 1007.6 840.6 1491.4
2014 986.9 1007.7 984.0 1008.4 841.0 1494.4
2015 988.5 1008.1 984.4 1008.7 842.4 1499.6
2016 987.3 1007.0 983.4 1007.7 841.3 1499.2
2017 987.4 1006.8 983.6 1007.9 841.4 1497.7
2018 987.1 1006.6 983.2 1007.5 841.0 1496.3
2019 989.6 1009.3 985.2 1009.6 ---- ----
Contd..

190
Year
station
Chhor Zhob Multan
Mean Station
Level Pressure
(Mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
Mean Station
Level Pressure
(mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
Mean Station
Level Pressure
(mbs)
Mean Sea
Level Pressure
(Hpa/gpm)
1997 1007.8 1008.5 856.3 1467.3 994.6 1008.7
1998 1006.7 1007.3 856.5 1468.8 993.8 1007.8
1999 1005.8 1006.4 855.6 1459.2 992.5 1006.5
2000 1005.6 1006.3 854.6 1454.6 992.1 1006.0
2001 1006.2 1006.8 855.6 1460.8 992.9 1006.9
2002 1006.7 1007.3 856.0 1461.0 993.2 1007.2
2003 1007.0 1007.7 856.1 1464.8 993.7 1007.7
2004 1006.7 1007.4 855.8 1463.3 993.5 1007.8
2005 1007.0 1007.6 856.0 1463.9 994.1 1008.2
2006 1006.5 1007.1 856.0 1464.5 993.8 1008.1
2007 1006.3 1006.9 855.9 1459.5 993.5 1007.7
2008 1006.3 1006.9 855.6 1460.4 993.4 1007.6
2009 1006.4 1007.0 855.0 1469.1 993.7 1007.9
2010 1005.8 1006.4 856.1 1466.1 993.2 1007.4
2011 1006.0 1006.6 855.3 1457.9 992.8 1007.1
2012 1006.3 1006.9 ---- ---- 992.9 1007.2
2013 1006.5 1007.2 ---- ---- 993.2 1007.4
2014 1007.3 1008.0 ---- ---- 994.2 1008.5
2015 1007.5 1008.1 ---- ---- 994.5 1008.7
2016 1006.8 1007.5 490.1 837.5 993.4 1007.6
2017 1006.7 1007.4 ---- ---- 993.5 1007.8
2018 1006.1 1006.8 856.0 1464.2 993.2 1007.4
2019 1008.2 1008.9 857.8 1481.7 995.5 1009.8
----: Data Not Available,

191
Table C-05: Vapour Pressure at Selected Centres (Mbs)
Year/
Station
Peshawar
(359)
Parachinar
(1725)
Jhelum
(232)
Zhob
(1405)
D.I.Khan
(173)
Lahore
(213)
Quetta
(1600)
Multan
(122)
1997 17.7 10.2 18.0 11.2 18.7 18.5 9.9 18.7
1998 18.4 9.5 19.4 ---- 18.9 18.8 8.1 18.9
1999 17.6 9.7 18.1 8.8 18.5 18.3 7.4 18.5
2000 16.7 9.7 18.3 7.8 19.0 18.1 5.6 17.8
2001 16.8 9.8 18.1 8.2 20.0 19.2 6.4 19.5
2002 16.4 9.2 17.1 7.4 19.0 18.3 7.1 17.9
2003 18.0 9.2 17.9 7.9 19.5 18.3 8.1 17.7
2004 17.2 9.5 18.1 7.9 19.3 18.7 8.4 18.0
2005 17.3 9.5 17.7 8.4 18.7 18.4 10.5 17.9
2006 17.8 11.0 18.8 9.1 20.6 19.4 11.1 18.4
2007 17.3 10.5 18.9 9.1 20.3 19.1 9.7 18.8
2008 17.3 10.0 18.9 9.2 20.0 19.9 9.0 18.6
2009 16.2 9.8 16.5 9.0 18.7 17.9 9.5 18.7
2010 17.9 10.7 18.0 8.6 19.7 18.9 8.8 19.2
2011 17.5 10.7 19.5 10.1 19.7 19.7 10.8 19.8
2012 15.9 10.2 17.9 8.2 18.3 18.2 11.2 18.1
2013 ---- 8.2 19.6 10.0 19.9 20.4 9.3 19.5
2014 16.2 ---- 19.4 10.3 19.7 19.2 9.5 18.8
2015 16.4 ---- 20.1 9.8 20.9 19.2 9.5 19.2
2016 ---- 12.7 20.3 11.7 21.7 19.6 6.9 19.8
2017 16.0 11.2 19.6 ---- 21.0 19.2 6.7 18.7
2018 14.1 12.6 18.7 10.1 21.2 19.2 6.6 18.2
2019 ---- 9.4 13.4 8.8 15.3 13.6 6.6 13.9
Contd..

192
Table C-05: Vapour Pressure at Selected Centres (Mbs)
Year/ Stations
Dalbandin
(848)
Jacobabad
(55)
Panjgur
(980)
Jiwani
(56)
Hyderabad
(40)
Chhor
(5)
Karachi
(22)
1997 7.6 18.7 14.1 22.7 19.8 19.9 21.1
1998 9.1 19.8 12.8 23.3 19.6 21.1 21.4
1999 7.7 19.4 12.2 22.7 18.1 21.4 20.9
2000 8.7 19.2 12.5 23.3 18.5 20.6 21.4
2001 7.1 20.8 11.7 23.0 18.5 25.0 21.3
2002 7.3 19.5 12.1 22.8 18.2 19.1 20.9
2003 7.3 20.8 10.9 23.7 18.6 20.1 20.6
2004 6.2 18.6 13.1 23.5 18.3 20.4 21.0
2005 ---- 19.4 12.6 22.4 18.4 18.9 20.6
2006 6.7 19.9 11.0 23.3 21.0 22.2 22.6
2007 9.6 19.7 8.9 22.6 20.2 22.6 22.7
2008 8.1 19.0 9.8 22.2 19.2 21.4 21.3
2009 9.5 18.6 10.0 23.5 19.6 21.9 22.7
2010 8.9 ---- 9.1 22.4 20.2 22.2 22.8
2011 8.7 22.0 8.9 23.9 20.2 24.4 22.3
2012 8.4 20.6 10.6 23.5 19.3 22.5 21.7
2013 10.6 22.1 13.5 23.2 20.1 22.3 21.9
2014 9.1 21.1 11.4 22.7 19.5 21.4 20.7
2015 8.1 21.9 11.1 23.3 20.3 21.9 22.3
2016 ---- 21.1 10.3 ---- 21.0 22.3 23.1
2017 6.5 21.9 9.4 19.7 20.7 21.1 21.9
2018 8.0 20.7 8.9 20.4 20.9 17.5 18.9
2019 8.8 14.8 9.0 19.3 16.2 15.6 17.9

193
Table C-06: Area of Crops Covered by Ground Plant Protection Measures in Pakistan
(Area '000 hectares)
Year Cropped area
Area sprayed
Spray hectare
Actual Percent
2003-04 22,940 7,519 32.77 16,387
2004-05 22,780 7,776 34.13 23,333
2005-06 23,130 7,704 33.30 23,287
2006-07 23,560 16,476 69.90 30,273
2007-08 23,850 16,433 68.90 30,224
2008-09 23,798 18,838 79.15 36,143
2009-10 23,773 18,201 76.56 35,496
2010-11 22,720 15,248 67.05 9,268
2011-12 22,450 20,277 90.32 11,934
2012-13 22,750 20,277 89.12 11,934
2013-14 22,730 21,966 96.64 14,304
2014-15 23,270 19,246 82.71 14,113
2016-17 23,010 18,811 81.75 14,652
2017-18 23,450 19,246 82.07 14,501

194
Table C-07:- Area Covered By Ground Plant Protection Measures
Crops
2016-17 2017-18
Actual Area
Sown
Spray in
Hectares
Avg. No. of
Sprays
Actual Area
Sown
Spray in
Hectares
Avg. No. of
Sprays
Pakistan
Paddy 2789.4 1707.7 1.2 2890.6 2529.8 1.6
Cotton 2805.7 2184.3 1.9 2961.4 2640.7 2.5
Sugarcane 1172.5 949.2 1.2 1140.5 991.3 1.6
Maize 1168.5 1324.7 1.1 1142.5 514.4 1.3
Wheat 9199.4 5539.0 0.8 9205.5 6263.39 0.9
Oilseed 571.0 81.5 0.5 570.0 223.5 0.7
Tobacco 49.1 189.4 0.9 53.8 43.1 1.2
Fruit/Veg & Other 1055.7 2676.1 1.4 1281.66 1294.57 1.8
Total 18811.3 14651.9 8.8 19246.0 14500.76 11.5
Punjab
Paddy 1652.3 1283.2 2.2 2476.5 1832.8 2.1
Cotton 2753.4 2052.8 4.5 2359.9 2076.6 4.5
Sugarcane 806.8 604.8 2.0 966 680.5 2.1
Maize 533.0 403.6 2.1 721.3 503.2 1.9
Wheat 6242.4 3930.4 1.3 7742.1 5436.2 1.2
Oilseed 149.1 67.2 0.8 191.6 119.4 0.9
Tobacco 10.1 8.9 1.0 11.5 10.6 1.0
Fruit/Veg & Other 832.3 748.4 1.9 1256.3 883.7 2.8
Total 12979.4 9099.3 15.8 15725.2 11543 16.5
Sindh (R)
Paddy 635.8 268.7 0.4 828.292 621.2 2.0
Cotton 153.2 102.1 0.7 611.689 535.3 4.0
Sugarcane 189 115.7 0.6 333.262 250.2 2.0
Maize 2.5 0.0 0.0 3.559 2.6 1.0
Wheat 1049.2 831.8 0.8 1089.587 817.19 1.0
Oilseed 325.0 0.0 0.0 121.718 91.2 1.0
Tobacco 0.1 0.0 0.0 0 0.0 1.0
Fruit/Veg & Other 1378.7 1378.7 1.0 411.856 308.9 2.0
Total 3733.5 2697.0 3.5 3399.963 2626.6 14.0
KP
Paddy 55.2 107.6 1.2 56.9 27.6 1.2
Cotton 0.25 0.75 1.4 1 0.2 0.4
Sugarcane 117.3 228.6 1.2 112.5 60.5 1.2
Maize 471.0 920.5 1.2 463 8.0 1.2
Wheat 776.8 776.8 1.0 732.6 10.0 1.2
Oilseed 14.3 14.3 1.0 12.9 12.9 1.0
Tobacco 30.0 180.0 1.6 34.5 32.0 1.8
Fruit/Veg & Other 325.0 450 1.5 297 2.97 1.5
Total 1789.85 2678.55 10.1 1710.4 154.17 9.5
Balochistan (R)
Paddy 179.5 48.2 1.0 174.3 48.2 1.0
Cotton 38.4 28.6 1.0 41.2 28.6 1.0
Sugarcane 0.1 0.1 1.0 0.7 0.1 1.0
Maize 4.8 0.6 1.0 3.5 0.6 1.0
Wheat 399.5 0.0 0.0 385.0 0.0 0.0
Oilseed 22.8 0.0 0.0 20.2 0.0 0.0
Tobacco 1.3 0.5 1.0 1.3 0.5 1.0
Fruit/Veg & Other 262.8 99.0 1.0 252.3 99.0 1.0
Total 909.2 177.0 6.0 878.5 177.0 6.0
Source: Provincial Agriculture Departments.
R= Repeated

195
Table C-08: Area Irrigated by Different Sources
(Million Hectares)
Year Total
Canals
Tubewells Wells Canal
Tubewells
Canal
Wells
Tanks Others
Government Private
1994-95 17.20 7.06 0.45 2.83 0.17 6.41 0.10 (*) 0.18
1995-96 17.58 7.15 0.45 2.89 0.18 6.58 0.11 (*) 0.22
1996-97 17.83 7.35 0.46 2.90 0.18 6.61 0.11 (*) 0.22
1997-98 18.00 7.31 0.48 3.00 0.16 6.74 0.13 (*) 0.18
1998-99 17.95 7.20 0.47 2.98 0.17 6.88 0.09 (*) 0.16
1999-00 18.11 7.10 0.46 3.11 0.18 6.99 0.09 (*) 0.18
2000-01 17.82 6.55 0.43 3.19 0.16 7.22 0.10 (*) 0.17
2001-02 18.04 6.38 0.43 3.45 0.20 7.24 0.16 (*) 0.18
2002-03 18.22 6.62 0.44 3.37 0.21 7.21 0.17 (*) 0.21
2003-04 18.78 6.78 0.44 3.48 0.22 7.50 0.15 (*) 0.21
2004-05 18.84 6.56 0.44 3.46 0.25 7.70 0.19 (*) 0.24
2005-06 19.12 6.54 0.52 3.58 0.28 7.78 0.20 (*) 0.22
2006-07 19.54 6.36 0.42 3.89 0.62 7.78 0.22 (*) 0.25
2007-08 19.29 6.52 0.39 3.83 0.31 7.79 0.17 (*) 0.28
2008-09 19.42 6.43 0.40 3.84 0.30 7.94 0.20 (*) 0.31
2009-10 19.64 6.44 0.39 3.88 0.30 8.07 0.26 (*) 0.30
2010-11 18.67 6.01 0.39 3.92 0.32 7.60 0.25 (*) 0.18
2011-12 18.56 5.59 0.37 4.01 0.32 7.86 0.19 0.02 0.20
2012-13 17.94 5.29 0.43 3.76 0.31 7.76 0.20 (*) 0.19
2013-14 18.59 5.53 0.42 3.71 0.38 8.11 0.26 (*) 0.18
2014-15 18.73 5.59 0.43 3.68 0.47 8.06 0.29 0.00 0.21
2015-16 18.60 5.56 0.40 3.60 0.35 8.15 0.28 0.00 0.26
2016-17 18.22 5.53 0.36 3.62 0.40 7.85 0.29 0.00 0.17
2017-18 18.59 5.61 0.35 3.60 0.44 8.15 0.27 0.00 0.17
2018-19(P) 18.59 5.61 0.35 3.60 0.44 8.15 0.27 0.00 0.17
Note: - (*) Nominal
(P) = Provisional

196
Table C-09: River Flow Availability (Kharif and Rabi)
(Million Acre Feet)
Year
Kharif Rabi
Jehlum
at Mangla
Chenab
at Marala
Indus at *
Kalabagh
Total
Jehlum
at Mangla
Chenab
at Marala
Indus at *
Kalabagh
Total
1996-97 24.93 27.48 85.08 137.50 4.11 4.41 15.23 23.75
1997-98 16.96 21.74 71.45 110.15 7.06 6.55 18.48 32.10
1998-99 18.11 23.16 83.71 124.98 3.61 4.78 16.18 24.57
1999-00 11.24 18.70 77.51 107.46 3.19 4.35 14.57 22.11
2000-01 10.27 17.20 58.86 86.33 2.28 2.73 11.55 16.56
2001-02 8.23 16.00 55.65 79.88 3.66 2.90 10.72 17.28
2002-03 12.31 18.02 64.64 94.97 5.10 5.47 12.49 23.06
2003-04 17.67 21.50 76.61 115.78 5.00 4.36 12.79 22.15
2004-05 11.74 14.90 55.43 82.07 6.72 6.41 17.32 30.45
2005-06 17.71 21.12 82.37 121.20 5.46 4.02 14.45 23.93
2006-07 16.43 21.38 74.02 111.83 6.78 6.33 17.73 30.84
2007-08 13.51 16.98 75.40 105.89 4.18 3.62 12.39 20.19
2008-09 13.38 16.21 65.89 95.48 5.88 3.61 13.51 23.00
2009-10 16.48 14.46 68.18 99.12 4.57 3.39 13.22 21.18
2010-11 20.31 21.02 91.18 132.51 5.42 4.78 14.52 24.72
2011-12 15.28 18.83 65.85 99.96 4.17 3.60 10.93 18.70
2012-13 14.70 17.14 66.27 98.11 5.38 4.43 15.37 25.18
2013-14 15.22 18.70 82.38 116.30 5.07 4.45 14.88 24.40
2014-15 19.93 21.14 65.88 106.95 6.39 5.47 15.52 27.38
2015-16 20.71 22.83 83.20 126.71 7.87 4.48 17.76 30.12
2016-17 15.15 18.05 76.74 109.94 4.57 3.98 13.93 22.48
2017-18 15.80 20.71 72.32 108.83 2.41 2.84 11.94 17.19
2018-19 11.18 16.82 58.94 86.94 4.71 4.77 12.92 22.40
Year
Total (Kharif & Rabi)
Jehlum at Mangla Chenab at Marala Indus at Kalabagh Total
1996-97 29.04 31.89 100.32 161.25
1997-98 24.02 28.29 89.93 142.25
1998-99 21.72 27.94 99.89 149.55
1999-00 14.43 23.05 92.09 129.57
2000-01 12.55 19.93 70.41 102.89
2001-02 11.89 18.90 66.37 97.16
2002-03 17.41 23.49 77.13 118.03
2003-04 22.67 25.86 89.40 137.93
2004-05 18.46 21.31 72.75 112.52
2005-06 23.17 25.14 96.82 145.13
2006-07 23.21 27.71 91.75 142.67
2007-08 17.69 20.60 87.79 126.08
2008-09 19.26 19.82 79.40 118.48
2009-10 21.05 17.85 81.40 120.30
2010-11 25.73 25.80 105.70 157.23
2011-12 19.45 22.43 76.78 118.66
2012-13 20.08 21.57 81.64 123.29
2013-14 20.29 23.15 97.26 140.70
2014-15 26.32 26.61 81.40 134.33
2015-16 28.58 27.31 100.96 156.86
2016-17 19.72 22.03 90.66 132.41
2017-18 18.21 23.55 84.26 126.02
2018-19 15.89 21.59 71.86 109.34
Source:-Pakistan Water and Power Development Authority (WAPDA). * Un-regulated

197
Table C-10: Summary of Protected Areas in Pakistan (based on NCCW data) 2018
(000 ha)
Region/Province
National
Parks
Wildlife
Sanctuaries
Game
Reserves
Community
Reserves
Total
Protected
Area
Total Area
Conserved
(000ha)
Azad Jammu Kashmir 8 1 11 - 20 119139
Balochistan 3 14 8 3 28 2152676
Punjab 4 37 23 5 69 1859456
Sindh 1 34 13 - 48 1720029
Federal Territory 1 1 - - 2 24386
Gilgit/Baltistan 5 2 4 46 57 3835489
Totals 28 92 97 160 377 10771730
Table C-10: Summary of Protected Areas in Pakistan (based on NCCW data) 2019
(000 ha)
Region/Province
National
Parks
Wildlife
Sanctuaries
Game
Reserves
Community
Reserves
Total
Protected
Area
Total Area
Conserved
(000ha)
Azad Jammu Kashmir 8 1 11 - 20 119139
Balochistan 3 14 8 3 28 2152676
Punjab 6 37 23 5 71 1868196
Sindh 1 34 13 - 48 1720029
Federal Territory 1 1 - - 2 24386
Gilgit/Baltistan 5 2 4 46 57 3835489
Totals 30 92 97 160 379 10780469
Name of Marine Protected Area Location Area
Astola Island Marine Protected Area Tehsil Pasni, District Gawardar,
Balochistan
40,147 ha
Source:- Climate change

198
Table C-11: Forest Area (2018-19)
(000 Hectares)
Forest Type Punjab KP* Sindh Balochistan
Azad
Kashmir
* Gilgit
Batistan
Total
Coniferous Forests 144 760 - 208 408 192 1712
Irrigated Plantations 440 - 82 173 - 43 738
Riverain Forests 143 - 241 104 - - 488
Scrub Forests 680 308 - 347 9 - 1344
Coastal Forests - - 345 174 - - 519
Linear Plantations - 2 - 694 - - 696
Mazri - 24 - 347 - - 371
Range Land 203 74 457 226 150 685 1795
Miscellaneous 2971 750 - 510 - - 4231
Grand Total 4581 1918 1125 2783 567 920 11894
Source:- 1. Provincial Forest Department.
2. Agriculture Statistics of Pakistan 2017-18
* = 2017-18
Table C-12: Share of Forestry in Value Added of Agriculture Sector
(Rs. In Million)
Year GDP-CF Agriculture Forestry
% Share of Foresty
in Agriculture
% Share of Foresty
in GDP
(BASE = 2005-06)
2010-11 9,404,102 1,977,178 42,121 2.13 0.45
2011-12 9,733,907 2,048,794 42,874 2.09 0.44
2012-13 10,161,854 2,103,600 45,695 2.17 0.45
2013-14 10,636,891 2,156,117 46,555 2.16 0.44
2014-15 11,140,138 2,202,043 40,761 1.85 0.37
2015-16 11,755,824 2,205,433 46,592 2.11 0.40
2016-17 12,408,775 2,253,565 45,505 2.02 0.37
2017-18 13,133,003 2,343,614 46,679 1.99 0.36
2018-19 13,262,866 2,357,095 50,352 2.14 0.38
(R) = Revised

199
Table C-13: Area of Forests by Legal Classification for the year 2018-19
(000Hectares)
Category Total Balochistan KP Punjab Sindh
Gilgit
Baltistan
AJK
1 2 3 4 5 6 7 8
Total 13125 5992 1883 3298 1136 249 567
State 2916 700 - 1649 - - 567
Reserved 1213 - 94 796 323 - -
Protected 1992 109 480 529 802 72 -
Unclassed 391 - 105 281 5 - -
Resumed Lands 45 - 36 5 4 - -
Guzara 270 - 270 - - - -
Communal 50 - 50 - - - -
Section 38 219 - 8 34 - 177 -
Chose Act - - - - - - -
Miscellaneous 6029 5183 840 4 2 - -
Source:- Provincial Forest Department.
Table C-14: Forest Area under the Control of Forest Departments by Types of Vegetation for the
year 2018-19
(000 Hectares)
Category Total Balochistan KP * Punjab Sindh Gilgit Baltistan AJK
1 2 3 4 5 6 7 8
Total 11273 1585 1918 4628 668 1907 567
Coniferous 2098 286 760 144 - 500 408
Irrigated plantation 606 - - 440 82 84 -
Riverain 384 - - 143 241 - -
Scrub 1831 834 308 680 - - 9
Coastal 345 - - - 345 - -
Linear Plantation 49 - 2 47 - - -
Range Lands 2215 465 74 203 - 1323 150
Mazri 24 - 24 - - - -
Miscellaneous 3721 - 750 2971 * - -
Source:- 1. Provincial Forest Department.
2. Agriculture Statistics of Pakistan 2017-18
* = 2017-18

200
Table C-15: Area Afforested
(000 Hectares)
1993-94 13.1 N.A 9.9 2.5 0.7
1994-95 14.7 1.8 9.8 1.5 1.6
1995-96 19.1 0.9 13.6 2.7 1.9
1996-97 19.9 N.A 15.1 1.9 2.9
1997-98 20.9 N.A 6.9 2.3 11.7
1998-99 18.9 N.A 8.2 3.9 6.8
1999-00 15.1 N.A 10.5 3.9 0.7
2000-01 22.9 4.5 7.6 3.9 6.9
2001-02 16.5 4.9 6.5 1.1 4.0
2002-03 17.5 4.4 5.7 1.4 6.0
2003-04 21.9 6.9 7.7 1.9 5.4
2004-05 19.9 2.0 11.3 3.2 3.4
2005-06 14.7 0.8 5.5 3.0 5.4
2006-07 19.3 0.8 8.1 4.2 6.2
2007-08 17.2 N.A 7.9 3.6 5.7
2008-09 17.2 1.0 9.3 4.1 3.9
2009-10 12.5 0.5 6.3 3.0 2.7
2010-11 6.3 0.4 - 3.2 2.7
2011-12 16.1 4.8 - 3.4 7.9
2012-13 26.4 3.3 8.0 3.2 11.9
2013-14 16.0 N.A N.A 4.8 11.2
2014-15 30.5 N.A N.A 6.8 14.4
2015-16 29.0 N.A N.A 5.3 17.4
2016-17 26.3 N.A N.A 11.2 15.1
2017-18 46.3 N.A 17.8 21.7 6.8
2018-19 34.2 12.6 N.A 12.9 0.7
Source: - Provincial Forest Department
NA = Not Available

201
Table C-16: Area Regenerated
( 000 Hectares )
1993-94 29.3 0.2 1.9 2.3 24.9
1994-95 31.8 N.A 2.0 4.2 25.6
1995-96 31.7 0.1 2.5 4.5 25.6
1996-97 18.1 0.1 1.9 3.6 12.5
1997-98 18.3 N.A 0.6 1.6 16.1
1998-99 19.8 N.A 0.5 1.0 18.3
1999-00 7.0 N.A 0.5 0.6 5.9
2000-01 7.1 N.A 2.6 0.4 4.1
2001-02 16.3 N.A 3.9 0.9 11.5
2002-03 5.5 N.A 2.7 0.8 2.0
2003-04 12.6 N.A 3.4 1.2 8.0
2004-05 11.4 N.A 1.0 0.9 9.5
2005-06 11.4 N.A 1.1 2.5 7.8
2006-07 12.1 N.A 1.4 1.1 9.6
2007-08 10.0 N.A 1.2 0.8 8.0
2008-09 7.6 0.5 3.1 1.0 3.0
2009-10 8.2 0.2 3.0 1.0 4.0
2010-11 (P) 16.7 0.2 3.5 - 13.0
2011-12 N.A N.A N.A N.A N.A
2012-13 N.A N.A N.A 0.8 N.A
2014-15 54.7 N.A 44.4 0.7 9.6
2015-16 271.3 N.A 262.9 0.4 8.0
2016-17 7.6 N.A - N.A 3.0
2017-18 8.2 N.A - 0.1 4.0
2018-19 16.7 2.5 - * 13.0
2019-20 142.0 - 142.0 - N.A
Source:- Provincial Forest Department by province
P= Provisional NA = Not Available
* Negligible value

202
Table C-17: Quality of Ground Water at Various Locations of Faisalabad during 2019
Location
Physical and Biological Parameters
Colour Taste Smell
Temperature
Centigrade
Oxygen
Contents
mg/l
Conductivity
Second
Turbidity
NTU
Coliform
Per 100ml
1. Well-field area near
River Chenab
Faisalabad Sample No.1
Colour
less
Unobjectio
n able
No
smell 25 2.9 690 0 0
River Chenab
Faisalabad Sample No.2 “ “ 25 2.7 760 0 0
River Chenab
River Chenab
River Chenab
River Chenab
Location
Chemical Parameters
T.D.S (mg/l) Calcium (mg/l) Magnesium
(mg/l)
Carbonates
(mg/l)
Bicarbonates
(mg/l)
Chloride
(mg/l)
River Chenab Faisalabad
Sample No.1 350 32 46 Nil 296 156
Sample No.2 390 40 42
Nil
340 172
Sample No.3 320 59 30
Nil
324 168
Sample No.4 340 53 33
Nil
300 148
Sample No.5 320 44 40
Nil
308 92
Sample No.6 310 59 37
Nil
312 76
6. Madina Town T/W 4. N.A. N.A. N.A. N.A. N.A. N.A.
7. Mansoor Abad T/W 4. N.A. N.A. N.A. N.A. N.A. N.A.
Source:- Faisalabad Development Authority.

203
Table C-18: Phase out of HCFC 141b Implemented by UNIDO 2015 to 2019
Name of Industry
Phase out in
ODP tons
Application Location Industrial Sector Status
United Refrigeration 32.43 Foam Hyderabad Refrigeration Completed
Dawalance 22.40 Foam Karachi Refrigeration Completed
Haier, Lahore 7.68 Foam Lahore Refrigeration Completed
Varioline 5.24 Foam Lahore Refrigeration Completed
Shadman
Electronics 3.91 Foam Karachi Refrigeration Completed
Source:- National Ozone Unit, Ministry of Climate Change.
Table C-19: Phase out of HCFC 141b Implemented by UNIDO, 2016 to 2020.
Name of Industry
Phase out in
ODP tons
Application Location Industrial Sector Status
Shoaibee Industries 10.13 Foam Karachi Thermoware Ongoing
Full Bright Plastic 4.60 Foam Karachi Thermoware Ongoing
Asif Zubair & Co. 4.50 Foam Karachi Thermoware Ongoing
Tropical Plastic 2.96 Foam Karachi Thermoware Ongoing
Unique Plastic 3.20 Foam Karachi Thermoware Ongoing
Delight Plastic 2.80 Foam Karachi Thermoware Ongoing
Decent Plastic 2.28 Foam Karachi Thermoware Ongoing
Pakistan Insulation 7.32 Foam Karachi PU Sandwich Panel Ongoing
Pakistan Air conditioning
Engineering Co. (PAECO) 3.52 Foam Lahore PU Sandwich Panel Ongoing
Foster Refrigerators 3.85 Foam Lahore PU Sandwich Panel Ongoing
Kold Kraft 3.97 Foam Lahore PU Sandwich Panel Ongoing
Dawlance
9.38 Air Conditioning Karachi Air Conditioning and
Servicing
Ongoing
Source: National Ozone Unit, Ministry of Climate Change, Islamabad.

204
SECTION - D
Inventories, Stocks and Background Conditions
This section presents historical background and development in education and health sectors. In
addition to the literacy levels, educational infrastructure by type, enrollment at various stages, availability of
teachers and student - teacher ratios are worked out. It also highlights availability of health facilities to the
population in terms of doctors, nurses, midwives, hospitals, dispensaries, hospitals beds, family planning
statistics, immunization coverage, etc. Moreover, the tabular part also includes data on electricity,
natural/associated gas reserves, and coal reserves.
D-I Education
Education is the major cause and consequence of economic and social development and considered
as the investment in human capital, which is leading factor for building the nation. Government of Pakistan
has been making strenuous efforts to improve the literacy rate and to provide education to all school-going
children at all levels.
D-I.i Literacy
Literacy is one of the basic driver to catalyze change in socio-economic milieu for better. According
to PSLM Survey, literacy rate improved from 57% in 2008-09 to 60% in 2018-19. The comparative literacy
rates by sex and area, given in the parenthesis, also scale up, more in the case of females (45%, 49%) than
males (69%, 71%) and rural (48%, 51%) than urban 74% with no change. However, the male - female and
rural-urban disparities remain quite positive but seem to be converging down the time lane though with sub-
optimal speed, more in urban than rural areas. The relevant data has presented in the table (Figure D-1) D-
01.
Figure: D-1: Literacy Rates by Sex and Urban-Rural Areas
0
20
40
60
80
2008-09 2010-11 2011-12 2012-13 2013-14 2014-15 2015-16 2018-19
All Areas
Both sex Male Female

205
D-I.ii Enrollment
a. Primary Schools
At the time of independence, the primary level enrollment (class I-V) was 0.770 million which
increased to 37.407 million in 2018-19 (Table D-02). It indicates more than 49 times increase in 72 years. In
the linear perspective, the annual average growth rate of primary level enrollment (5.5 percent) is almost
double of the population growth rate during this period. Nevertheless, expanse of the base and consequential
time series fall short of exhaustive outreach of primary education. This notwithstanding, population per school
(Table below, D-I) of the 5-9 year aged, has been decreasing down the time lane from 555 in 1950-51 to 135
in 2018-19.
0
20
40
60
80
100
2008-09 2010-11 2011-12 2012-13 2013-14 2014-15 2015-16 2018-19
Urban
0
10
20
30
40
50
60
70
2008-09 2010-11 2011-12 2012-13 2013-14 2014-15 2015-16 2018-19
Rural

206
Figure: D.2: Enrollment in Primary Schools by Sex
Table D-I: Relationship of Primary Schools and Population Aged (5-9 Years)
Year Number of Primary Schools Population 5-9 Years (000) Population/School
1950-51 9,411 5,225 555
1960-61 20,909 6,472 310
1970-71 45,854 9,853 215
1980-81 59,169 13,434 227
1990-91 114,142 18,301 160
1997-98 156,318 20,215 129
2002-03* 150,809 20,080 133
2007-08 157,407 20,211 125
2008-09 156,654 20,612 127
2009-10 157,466 21,015 128
2010-11 155,495 21,420 131
2011-12 154,650 21,826 133
2012-13 159,680 22,232 132
2013-14 157,936 22,634 133
2014-15 165,914 23,033 139
2015-16 164,630 23,426 142
2016-17 168,864 23,813 141
2017-18 172,519 24,188 140
2018-19 181,855 24,529 135
Source:- Population: i) Population Census Organization ii) Planning & Development Division
Enrolment: Academy of Educational Planning & Management, Islamabad
* Pre-Primary Schools figures not included
b. Middle Schools
The middle level enrollment ( class VI-VIII) registered 35 fold rise, from 221 thousand in 1947-48 to
7641 in 2018-19 (Table D-02). The average annual growth rate (5 percent) is slightly lower as compared to
that in primary schools enrollment.
As for sex-wise enrollment (Fig D-3) male enrollment during the period increased at an annual growth
rate of 4.3 percent vis a vis 7.3 percent of females. Thus, male-female disparity has been receding owing,
probably to attitudinal shift.
0
10,000
20,000
30,000
40,000
2004-05 2009-10 2011-12 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19 ( p
)
Thousand
Total Male Female

207
Figure: D-3: Enrollment in Middle Schools by Sex
c. High and Secondary School Vocational Institutions
Enrollment in high school or secondary level school (IXth and Xth classes) or equivalent vocational
classes indicates increase at an average annual growth rate of 6 percent during 1947-48 to 2018-19. About
62 thousand students were enrolled in high school level classes in 1947-48 compared to 4339 thousand
during the year 2018-19 (Table D-02). As for male - female gap (Fig D-4) it has been closing as female
enrollment at High School level increased from 14.8 percent of the male enrollments in 1947-48 to 75.6% in
2018-19.
Figure: D-4: Enrollment in Secondary Schools by Sex
d. Arts and Science Colleges
The arts and science colleges include enrollment of class XI and XII (Intermediate) and B.A/B.Sc.
students. The enrollment in arts and science colleges registered 47 fold increase in 65 years from 43
thousand in 1954-55 to 2032 thousand in 2018-19 (Table D-02). This level of trending up augurs well for
cultivating progressive socio-cultural attitudes.
Auspiciously, gender gap has been shrinking during the period as females enrollment rose 160 fold,
from 16% of males enrollment in 1954-55 to 89 % of the same in 2018-19.
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
2004-05 2009-10 2011-12 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19 ( p
)
Thousand
Total Male Female
0
1,000
2,000
3,000
4,000
5,000
2004-05 2009-10 2011-12 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19 ( p
)
Thousand
Total Male Female

208
e. Professional Colleges
The professional colleges focus on the education of Agriculture, Medical, Engineering, Law,
Commerce, Tibb and Homeopathy. The enrollment in the professional colleges increased from 4.4 thousand
at the time of independence to 294.0 thousand in 2018-19 at an average annual growth rate of 6.0 percent
during the period. Gender gap has been receding as female enrollment witnessed 290-fold increase vis a vis
50 fold of males and fared at 42% of males enrollment in 2018-19 in comparison with 7% at the time of
independence (Table D-02).
f. Universities
There were 644 students enrolled in 2 Universities existed in the country at the time of independence.
This includes degree and post graduate level enrollments in various subjects. The enrollments in 2018-19 is
estimated at about 996.3 thousand in 115 universities of the country (Table D-02). This shows an increase
at an annual growth rate of 10.8 percent, the highest among all level of education during the period.
Seemingly, university education is more facilitated /subsidized as compared to primary/secondary education.
Since university graduate tend to emigrate due to limited opening in the country, the bias in favour of
university education is likely to work at the cross purpose of increasing the literacy rate.
D-I.iii Educational Infrastructure
a. Primary Level Schools
At the time of independence (1947-48) there were 8,413 primary schools in the country. Their number
increased to 175293 during 2018-19. Thus primary schools increased with lower average annual growth rate
of 4.3 percent as against 5.5 percent of enrollment therein during the same period. Nevertheless, population
per primary school declined from 555 in 1950-51 to 135 population in 2018-19(Table D-I).
The number of primary schools for females (1549) at the time of independence fared at one-fourth
of the number of boys primary school (6864). As of 2018-19, the girls primary school have increased 50 fold
(76746) vis a vis 14 times (98547) increase in the number of boys primary schools. The former now number
more than one-half of the latter’s (Figure: D-5).

209
Figure: D-5: Number of Primary Schools by Sex
There were about 18 thousand primary school teachers available for 8,413 primary schools in 1947-
48 i.e. two teachers per school and-one teacher for 43 students. The number of teachers increased to 545.2
thousand in 2018-19. Thus ratio of teachers per school has slightly increased to 3 teachers per school
though number of students per teacher also increased from 43 in 1947-48 to 69 in 2018-19.
Availability of male primary school teachers increase 17 fold as against 127 fold observed in case of
female teachers during 72 years between 1947-48 and 2018-19. The number of teachers per primary school
increased from 2.24. to 2.40 in the case of male and also 1.55 to 3.96 in case of female teachers. However,
student- teacher ratio has also increased, more for males (43 to 80) than females (46 to 58) (Table D-02).
b. Middle Schools
The availability of middle schools increased 22 times from 2190 at the time of independence (1947-
48) to 47665 schools in 2018-19 (Table D-02). Concomitantly, enrollment per middle school increased from
101 students in 1947-48 to 160 students in 2018-19. Though, number of teachers per middle school
increased from 5.5 in 1947-48 to 9.8 teachers in 2018-19, students - teacher ratio also increase in during
these years.
Sex wise, the availability of boy middle schools in 1947-48 (2037) fared at 13 times of girls middle
schools 153 increased 9.9 times (23756) in 2018-19 vis a vis 156 time of girls middle school (23909) to situate
the latter with the former almost equivalently.
0
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
180,000
200,000
2004-05 2009-10 2011-12 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19 ( p
)
Total Male Female

210
Figure: D-6: Number of Middle Schools by Sex
c. High and Secondary Vocational Institutions
Number of high/secondary schools at the time of independence (454) grew at an average annual
growth rate of 6.1 percent to 32725 in 2018-19. The corresponding high school numbers resolve into 372
vs.18611 for boys and 82 vs 14114 for girls. The latter’s numbers fare at 22 percent and 76 percent of the
former, which betokens receding gender gap.
As for enrollment per school, it decreased from 137 to 133 during the period. The corresponding sex
wise figures are 145 vs 133 for boys and 98 vs 132 for girls, which bespeak declining availability of high
schools for fair sex. However, number of teachers per school in 2018-19 (18) do indicate higher number per
girls high school (25) vis a vis boys high schools (12). This may, interalia, due to lower number of the former
(Table D-02).
Figure: D-7: Number of Secondary Schools by Sex
0
10,000
20,000
30,000
40,000
50,000
60,000
2004-05 2009-10 2011-12 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19 (
p )
Total Male Female
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
2004-05 2009-10 2011-12 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19 ( p
)
Total Male Female

211
d. Arts and Science Colleges
The number of arts and science colleges grew 30 fold from 77 in 1954-55 to 2326 in 2018-19 during
the span of 65 years. The corresponding number resolves into 58 & 1239 for boys and 19 & 1087 for girls.
The latter’s relative profile increased from 33 percent to 88 percent of the former. Enrollment per college
more than doubled from 558 to 874 during the period. The corresponding figures for girls (316,883) and, boys
(638, 866) indicates that former’s size more than quadrupled while the latter’s more than doubled during
the comparative periods (Table D-02).
e. Professional Colleges
Professional colleges were not available at the time of independence. However, there were 24
professional colleges (Agriculture, Medical, Engineering, Law, Tibb, Commerce and Homeopathic) in the
country in 1954-55, which increased 28 fold to 668 in 2018-19. Professional college practice co-education
.This notwithstanding, five girls professional colleges were established in 1964-65 which increased to 62 in
2018-19. (Table D-02). Since professional colleges are infrastructure-heavy establishments, their number
down the time lane increase modestly (Table D-02). As of 2018-19, there are 31 teachers per college and 14
student per teacher. Out of the total teachers (21300), more than one-third (33%) are females (7000).
f. Universities
The number of universities increased 58 fold from two (2) in 1947-48 to 115 in 2018-19. The ratio of
teachers per university increased from 217 for 6 universities available in 1964-65 to 342 for 115 universities
in 2018-19. However, student-teacher ratio also increased from 10 to 25 during the comparative periods. This
indicates rising clientele for universities.
D-II Health
D-II.i Historical Background
Like other socio-economic sectors, the country inherited very inadequate health infrastructure and
manpower at the time of independence. Though a lot of health facilities dot the country’s expanse, the related
indicators have not improved much. Among the reasons the seminal one is that health sector could not claim
a high priority in development plans. This can be judged from the fact that the total expenditure on health &
nutrition during 2018-19 was Rs.421.8 billion (1.1 % of GDP), out of which Rs 58.63 billion were allocated for
development expenditure. However, following sectors has seeks to improve:-
1. Health manpower.
2. Gathering and Using reliable health information.
3. Strategic use of emerging technologies.
4. Health status of the population.
5. Access to essential health services.
6. Measurable reduction in the burden of diseases.
7. Protecting the poor and under privileged population.

212
D-II.ii Health Infrastructure
a. Hospitals
At the time of independence there were 292 hospitals in the country i.e. one hospital was available
for about 111 thousand population. The number of hospital tripled in 72 years to 1282 in 2019 (Table D-08).
The annual average growth rate of hospitals is 2.1 percent, which is below the annual population growth rate
in the country during last 72 years. Thus, increasing population, as well as, pacy urbanization result into more
pressure on the hospitals which are mainly situated in major urban localities. It is estimated that population
per hospital which was 111 thousand per hospital in 1947 raised to 165 thousand per hospital in 2019. (Fig
D-8).
However, population per hospital bed declined from 2,360 in 1947 to 1,579 in 2018-19 to indicate
availability of more beds in the hospitals (Table D-08).
Figure: D-8: Population per Hospital (000)
b. Dispensaries
The dispensaries are normally supervised by an MBBS doctor and supported by a Lady Health
Visitor, dispenser, midwife, aya, chowkidar and sweeper. There were 722 dispensaries in 1947, which
increased to 5743 in 2019. It shows more than 8 times increase in number of dispensaries in 72 years (Table
D-08). The annual average growth rate of dispensaries was higher i.e. 2.9 percent as against 2.1 percent
for hospitals.
c. Maternal and Child Health Centre (MCH)
The Maternal and Child Health Centres (MCH) are established mostly in the rural areas, to provide
services to expectant mothers and new born babies. Centres are supervised by Lady Health Visitors. The
number of MCHs increased 8 times from 91 in 1947-48 to 752 in 2019 with an annual average growth rate
of 2.9 percent during the comparative periods.
14500
15000
15500
16000
16500
17000
17500
18000
18500
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
( As on Ist January)

213
d. Beds in Hospitals and Dispensaries
The hospitals and dispensaries have the facilities to admit patients in need of continued medical care
or surgical treatment. There were about 14 thousand beds in the hospitals and dispensaries in 1947 which
increased more than Nine (10) times in last 72 years to 134 thousand in 2019. Similarly, number of hospitals
increased from 827 in 1995 to 1282 in 2019.
Figure: D-9: Number of Registered Doctors and Nurses During 2010 to 2019
D-II.iii Health Manpower
a. Doctors
There were only 48,342 registered doctors in 1989 in the country for about 132 million population i.e.
one doctor for twenty-seven hundred persons. However, as of 2019 there are more than 233 thousand
registered doctors in the public and private sectors in the country, translating into one doctor for 1073 persons
(Table D-07). The number of registered doctors grew with an average annual growth rate of 5.3 percent
during 1989 to 2019.
b. Nurses
The nurses play very important role in the health care services. The number of registered nurses
grew with an average annual growth rate of 6.0 percent from 15861 in 1989 to 112123 in 2019. This translates
impressively in to improved availability of nurses from one per 132.85 million people in 1998 to one per 8375
people. However, the number of nurses is one-half of the number of doctors in 2019(Table D-07) which falls
short of the desirable calculus of health manpower.
0
50,000
100,000
150,000
200,000
250,000
2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
Doctors Nurses

214
c. Dentists
The number of registered dentists registered 13-fold increase with an annual growth rate of 8.9
percent from 1911 in 1989 to 24930 in 2019. This translates into one dentist for about thirty-nine thousand
population in 1998 as against 24 thousand per dentist in 2019 (Table D-07). However, population per dentist
is still very high. The dentists are available mainly in big hospitals and large cities, and as such, rural
population which is almost 57percent of the total population in the country seems short shifted in this regard.
D-II.iv Basic Health Indicators
Table below (D-II) gives a comparison of some basic demographic indicators of a few Asian countries
for 2017. It indicates that infant mortality rate is higher in Pakistan as compared to other countries, even
higher than Bangladesh, Nepal and India. The life expectancy at birth is slightly higher in China, Srilanka,
Bangladesh and Thailand.
Table D-II: Basic Health Indicators, Pakistan and Other Countries of Region
Country
Life Expectancy
(year 2017)
Infant Mortality
Rate per 1000
(year 2017)
Under 5 Mortality
Rate per 1000
(year 2017)
Maternal Mortality
Rate Per 100000
(2015)
Population Growth
Rate (%)
2017
Pakistan 67 61 75 178 2.0
India 69 32 39 174 1.1
Bangladesh 73 27 32 176 1.0
Sri Lanka 75 08 09 30 1.1
Nepal 71 28 34 258 1.1
Bhutan 71 26 31 148 1.2
China 76 08 09 27 0.6
Malaysia 75 07 08 40 1.4
Indonesia 69 21 25 126 1.1
Philippines 69 22 28 114 1.5
Thailand 75 08 10 20 0.3
Source:- World Bank
D-III Family Planning
The Family Planning Programme in the country was first introduced in 1953 by a non-governmental
organization " Family Planning Association of Pakistan". However, the Population Welfare Programme in the
public sector has been operating since 1960. The achievement of family planning programme has been
modest but seem to be attracting more people in matrimonial bond. The last population census indicates
decline in fertility as intercensal growth rate decreased from 3.06 during 1972-81 to 2.4 during 1998-2017.
At present the population welfare programme is operating both in the public and private sectors and
a net-work of service delivery out-lets of Ministries of Population Welfare and Health as well as Social
Marketing of Contraception (Private Sector) is providing family planning services to the desirous clients.

215
D-III.i Knowledge of Methods
The knowledge of specific method has substantially increased during last few years. According to
"Pakistan Demographic and Health Survey" conducted in 2006-07, the knowledge of at least one method
was 95.9 percent which has increased to 98 percent in 2017-18. Table below (D-III) presents method specific
knowledge of currently-married women aged 15-49 years.
Table D-III: Currently Married Women age 15-49 by Knowledge of Specific Method
(Percent)
Contraceptive Method
PRHFPS
2000-01
SWRHFPS
2003
PDHS
2006-07
PDHS
2012-13
PDHS
2017-18
Any Method 95.7 95.4 95.9 98.9 98.1
Female Sterilization 88.8 85.9 86.7 90.9 88.2
Male Sterilization 31.6 41.5 40.7 51.0 35.7
Injectables 90.2 88.2 89.5 95.5 92.7
IUD 84.4 82.1 74.8 86.0 81.1
Pill 91.1 90.7 91.7 95.4 93.0
Condom 69.9 65.2 68.1 82.3 84.2
Implants 19.9 26.9 32.1 33.6 52.3
Rytehm 23.8 25.4 49.2 41.9 46.3
Withdrawal 42.4 35.7 48.9 67.1 72.4
Other Method 1.9 1.7 2.9 1.8 0.9
Source:- National Institute of Population Studies
D-III.ii Contraceptive Performance and Use
The population welfare programme in the country is providing services of contraception through
public or private sector out lets. The modern methods like pills, IUD, injectable, Sterilization, Condom are
being dispensed to the visiting clients at the service delivery points. The performance of contraceptive
delivery services through population welfare programme is given in table D-IV. According to the latest survey
conducted in 2017-18, the contraceptive prevalence rate among the currently married women aged 15-49
years was 34.2 percent. Table below gives contraceptive prevalence rates by method.

216
Table D-IV: Current Contraceptive Prevalence Rates by Method and Sources
(Percent)
Method
PFFPS
1996-97
PRHFPS
2000-01
SWRHFPS
2003
PDHS
2006-07
PDHS
2012-13
PDHS
2017-18
Any Method 23.7 27.6 32.1 29.6 35.4 34.2
Method for Women 12.5 - 18.7 - - -
Pill 1.6 1.9 3.1 2.1 1.6 1.7
IUD 3.4 3.5 4.4 2.3 2.3 2.1
Injectables 1.4 2.6 3.4 2.3 2.7 2.5
Vaginal Methods 0.1 0.0 - - - -
Female Sterilization 6.0 6.9 7.5 8.2 8.7 8.8
Implant - - 0.3 0.1 - 0.4
Method for men 8.8 - 11.5 - - -
Condom 4.2 5.5 6.4 6.8 8.9 9.2
Withdrawl 4.6 5.3 4.9 4.1 8.6 8.0
Male Sterilization - - 0.2 0.1 0.3 -
Method for either use 2.4 - 2 - - 0.3
Periodic Abstinence 1.9 1.6 1.7 - - -
Other 0.5 0.5 0.3 0.2 0.1 0.1
Rythm - - - 3.6 0.7 1.0
Source:- National Institute of Population Studies
D-IV Extended Programme of Immunization (EPI)
This programme was launched in 1979 on a very comprehensive scale with the prime objective to
reduce morbidity and mortality resulting from six deadly diseases (Polio, Diphtheria, Whooping Cough,
Tetanus, Measles and Tuberculosis) through immunizing children of less than one year of age and Tetanus
immunization to all women of the child-bearing age. The programme extends service delivery from all health
facilities in public and private sectors and by special out reach and mobile approach. Twice in a year, special
campaigns are launched to boost up immunization coverage in the country. The data on immunization is not
easy to collect or interpret as coverage is often reported on the basis of respondent’s recollection than written
records. The service statistics also falls short of adequacy and reliability.
D-V COVID-19
1. The first human case of COVID-19 was reported officially in Wuhan city of China in December, 2019
which spread across the country to worldwide with the high rate. WHO on March 11 declared COVID-19 a
pandemic. Since then, the virus has engulfed the entire world, disrupting the supply chains and paralyzing
the continents. The pandemic is not only inflicting unprecedented damage to human lives but it has also
taken a heavy toll on global economic activity. In particular, various necessary measures to control the spread
has brought much of the global economic activity to a halt. Consequently, countries are now facing multiple
crises, a health crisis, a financial crisis, and a collapse in commodity prices.
2. On one hand, the pandemic has put the whole world in a Lockdown and changed the dynamics of
ongoing and future economic activities, while on the other, the pandemic wiped out any mentionable
economic performance of any economy. “The Lockdown”, is shaping up into the worst crises since The Great
Depression of 1930s.
3. Global value chains have been disrupted stock and commodity prices are falling around the world.
Long term bond yields are heading south in fear of global recession. Airlines and tourism business are facing
massive losses. Most of these businesses are SMEs, there will be loss of employment and small business

217
owners will faced reduced liquidity. Many businesses face problem in managing the cash flow. In this
scenario, key focus areas of the government are health, social safety industry and trade etc. The government
is constantly monitoring the COVID-19 situation in the country and taking all necessary steps to control the
adverse effect on economy. The World Economic Outlook (April, 2020) projects global growth to contact
sharply by 3 percent in 2020 and the loss to global GDP over 2020 and 2021 could be around 9 trillion dollars
due to the pandemic crisis. This is the first time in hundred years that the world in facing a rapidly spreading
the fatal virus. For which no authentic prevention/treatment to overcome the pandemic. No country is safe
from the pandemic until a specific vaccine is available against the virus.
4. Pakistan also follow rigorous measure like designed special hospitals, laboratories for testing,
quarantine facilities, awareness campaign and smart lock down to control the spread of virus in the affected
areas. The government has constituted a high-level National Coordination Committee (NCC) headed by the
Prime Minister that evaluates the evolving situation on day to day basis to effectively curb the spread of the
virus in the country. The National Disaster Management Authority (NDMA) and NHSRC have leading roles
in combating the spread of a pandemic. A Command and Control Centre has also been established to ensure
effective coordination among the federal and provincial governments to control COVID-19.
5. The disease outbreak information management system has been strengthened, and a
comprehensive hospital information management system has been ensured as the basis for the early
detection of outbreaks. Disease surveillance & Response Units (DSRU) has also been strengthened at the
district level and collaborated with Emergency Operations Centres (EOC) at the provincial level. Hospitals
and laboratories in the major cities have been designated to collect the sample from suspected cases on bio-
safety and bio-security standards. Quarantine facilities have been established all over the country to prevent
the spread of the pandemic.
6. The pandemic was confirmed to have reached Pakistan on 26th February, 2020, on the same day
another case confirmed by the Pakistan Federal Ministry of Health in Islamabad and within fifteen days the
total confirmed cases of COVID-19 reached to twenty. When the first patient in Karachi tested positive while
returning from Iran. Since then, the pandemic has spread through foreign and domestic transfusion. However,
due to timely measures taken by the government in collaboration with provinces, the outbreak has so far
been prevented from getting worse. Till August 18, 2020, so fare 290,958 confirmed cases with 272,804
recoveries and 6,209 deaths recorded in the country. Most of the confirmed cases are reported in the Sindh
province i.e 127,060 as compare to other provinces. Punjab comes after the Sindh where the total cases are
reported as 95800 till 18th August 2020 and least cases are reported in Azad Jammu & Kashmir. The
government is employing available public, community, and private sector capacity to rapidly scale up the
health system to prevent the spread of COVID-19

218
Table D-V: Province wise detail of COVID-19 from March, 2020 to 18th August-2020
Confirmed Cases Recoveries Active Cases Deaths
Punjab 95800 90210 3404 2186
Sindh 127060 120493 4224 2343
Balochistan 12403 11273 991 139
Khyber Pakhtunkhawa 35468 32711 1515 1242
Azad Kashmir 2219 2057 101 61
Gilgit-Baltistan 2583 2224 296 63
Islamabad 15425 13836 1414 175
Total 290958 272804 11945 6209
The share wise distribution of COVID-19 confirmed cases can be seen in Figure 10(a). It indicates that the
most of cases are reported in Sindh and Punjab comes after the Sindh. Figure 10(b) shows the % share deaths reported by area
wise. It indicates that most of deaths are reported in Sindh Province.
Figure: D-10(a): Confirmed Cases of COVID-19 till 18th August 2020
Figure: D-10(b): Deaths in COVID-19 till August, 2020
Punjab
33%
Sindh
44%
Balochistan
4%
Khyber Pakhtunkhawa
12%
Azad Kashmir
1%
Gilgit-Baltistan
1%
Islamabad
5%
Punjab
35%
Sindh
38%
Balochistan
2%
Khyber
Pakhtunkhawa
20%
Azad Kashmir
1%
Gilgit-Baltistan
1%
Islamabad
3%

219
Table D-01 Literacy Rates (10 years & above) by Province, Sex and Area
Year/Area
Total Urban Rural
Both
sex Male Female Both
sex Male Female Both
sex Male Female
PAKISTAN
2008-09 57 69 45 74 81 67 48 63 33
2010-11 58 69 46 74 81 67 49 63 35
2011-12 58 70 47 75 82 68 49 64 35
2012-13 60 71 48 76 82 69 51 64 37
2013-14 58 70 47 74 81 66 49 63 36
2014-15 60 70 49 76 82 69 51 63 38
2015-16 58 70 48 74 81 68 49 63 36
2018-19 60 71 49 74 80 67 51 65 38
PUNJAB
2008-09 59 69 50 76 82 71 51 63 39
2010-11 60 70 51 76 80 71 53 64 42
2011-12 60 70 51 75 80 70 52 65 41
2012-13 62 71 54 77 82 72 55 66 45
2013-14 61 71 52 76 82 71 53 65 43
2014-15 63 71 55 77 82 73 55 65 45
2015-16 62 72 54 77 82 73 55 66 44
2018-19 64 73 57 77 82 73 57 67 47
SINDH
2008-09 59 71 45 73 81 65 43 61 22
2010-11 59 71 46 75 82 68 42 60 22
2011-12 60 72 47 78 85 70 41 58 23
2012-13 60 72 47 77 84 70 42 59 22
2013-14 56 67 43 72 80 63 37 53 21
2014-15 60 70 49 76 82 70 40 55 24
2015-16 55 67 44 73 80 65 36 51 19
2018-19 57 68 44 72 79 64 39 55 21
KHYBER PAKHTUNKHWA
2008-09 50 69 31 62 76 48 47 67 27
2010-11 50 68 33 63 77 50 48 67 29
2011-12 52 72 35 65 80 51 50 70 31
2012-13 52 70 35 66 78 52 49 69 31
2013-14 53 72 36 68 81 55 49 70 32
2014-15 53 71 35 66 80 52 50 69 31
2015-16 53 72 36 64 77 52 50 70 33
2018-19 57 76 40 67 81 53 55 74 37
BALOCHISTAN
2008-09 45 62 23 64 78 47 38 57 16
2010-11 41 60 19 61 79 40 35 54 13
2011-12 46 65 23 62 79 44 40 60 16
2012-13 44 62 23 65 81 47 37 55 15
2013-14 43 59 25 59 74 45 36 54 17
2014-15 44 61 25 61 78 42 38 54 17
2015-16 41 56 24 61 76 44 33 48 15
2018-19 40 54 24 56 70 41 34 48 17
Source Pakistan Bureau of Statistics, PSLM
Note:- Due to Census,2017 survey was not conducted in 2016-17 & 2017-18

220
Table D-02: Number of Institutions, Enrollment and Number of Teachers by Sex and Level of
Educational Institutions
Institute/Year
Number of Institutions Enrollment (000. No.)
Total Male Female Total Male Female
1 2 3 4 5 6
Primary Schools
1947-48 8,413 6,864 1,549 770 660 110
1974-75 51,744 36,066 15,678 4,971 3,541 1,430
1984-85 73,812 52,261 21,551 6,828 4,576 2,252
1994-95 139,634 95,234 44,400 14,264 8,626 5,638
1999-00 162,076 107,032 55,044 19,148 12,104 7,044
2004-05 157,157 98,414 58,743 23,051 13,218 9,833
2009-10 157,466 96,894 60,572 27,534 15,328 12,206
2011-12 154,650 97,608 57,042 28,191 16,245 11,946
2012-13 159,680 99,620 60,060 28,075 15,709 12,366
2013-14 157,936 97,623 60,313 28,709 16,027 12,682
2014-15 165,914 99,901 66,013 29,436 16,395 13,041
2015-16 164,630 99,316 65,314 31,342 17,467 13,875
2016-17 168,864 109,793 59,071 33,123 18,350 14,773
2017-18 172,519 99,053 73,466 35,506 19,798 15,708
2018-19 ( P ) 175,293 98,547 76,746 37,407 20,837 16,570
Middle Schools
1947-48 2190 2037 153 221 200 21
1974-75 4,713 3,447 1,266 1,196 917 279
1984-85 6,132 4,315 1,817 1,805 1,359 446
1994-95 12,571 6,888 5,683 3,816 2,469 1,347
1999-00 18,435 10,868 7,567 4,112 2,497 1,615
2004-05 30,418 15,662 14,756 4,612 2,727 1,885
2009-10 41,340 21,793 19,547 5,504 3,167 2,337
2011-12 41,945 20,928 21,017 6,020 3,447 2,573
2012-13 42,147 20,729 21,418 6,188 3,535 2,653
2013-14 42,920 21,863 21,057 6,461 3,663 2,798
2014-15 44,818 22,423 22,395 6,582 3,739 2,843
2015-16 45,680 18,682 26,998 6,922 3,896 3,026
2016-17 49,090 21,171 27,919 6,996 3,908 3,088
2017-18 46,665 23,204 23,461 7,362 4,089 3,273
2018-19 ( P ) 47,665 23,756 23,909 7,641 4,215 3,426
Secondary Schools
1947-48 454 372 82 62 54 8
1974-75 3,199 2,288 911 504 390 114
1984-85 4,920 3,566 1,354 702 534 168
1994-95 10,005 6,626 3,379 1,611 1,082 529
1999-00 13,211 9,601 3,610 1,817 1,147 670
2004-05 17,233 11,644 5,589 2,074 1,265 809
2009-10 25,548 14,694 10,854 2,789 1,678 1,111
2011-12 29,426 17,534 11,892 2,942 1,754 1,188
2012-13 30,702 18,095 12,607 3,103 1,847 1,256
2013-14 31,437 18,535 12,902 3,322 1,977 1,345
2014-15 32,113 18,722 13,391 3,724 2,185 1,539
2015-16 32,589 16,639 15,950 3,886 2,261 1,625
2016-17 32,456 17,476 14,980 3,863 2,267 1,596
2017-18 32,246 18,402 13,844 4,083 2,341 1,742
2018-19 ( P ) 32,725 18,611 14,114 4,339 2,471 1,868
i) Primary Schools include pre-primary schools data as well Contd…
ii) Secondary Schools include both high school and secondary vocational institutions
iii) Schools include Public & Private sector data
iv) P = Provisional data
P= Provisional

221
Institute/Year
Number of Institutions Enrollment (000. No.)
1 2 3 4 5 6
Arts and Science Colleges
1947-48 40 35 5 - - -
1954-55 77 58 19 43 37 6
1974-75 361 265 96 208 150 58
1984-85 467 314 153 373 256 117
1994-95 678 421 257 704 428 276
1999-00 889 531 358 792 420 372
2004-05 1174 659 515 1009 514 495
2009-10 1497 824 673 1306 689 617
2011-12 1556 838 718 1316 686 630
2012-13 1610 873 737 1470 794 676
2013-14 1646 897 749 1544 828 716
2014-15 1731 919 812 1620 872 748
2015-16 1806 937 869 1645 857 788
2016-17 1934 993 941 1757 910 847
2017-18 1994 1019 975 1844 956 888
2018-19 P 2326 1239 1087 2032 1072 960
Professional Colleges
1947-48 - - - 4.4 4.1 0.3
1954-55 24 24 0 8.2 7.4 0.8
1964-65 45 40 5 17.4 14.4 3.0
1974-75 83 75 8 44.7 36.6 8.1
1984-85 99 91 8 59.2 49.5 9.7
1994-95 167 157 10 101.0 73.3 27.7
1999-00 324 309 15 161.0 120.0 41.0
2004-05 408 387 21 186.8 138.5 48.3
2009-10 512 487 25 229.6 162.6 67.0
2011-12 549 521 28 208.6 144.9 63.7
2012-13 534 506 28 196.6 134.1 62.5
2013-14 616 570 46 223.3 155.4 67.9
2014-15 714 659 55 258.7 181.0 77.7
2015-16 717 649 68 243.8 172.1 71.7
2016-17 712 652 60 293.6 197.2 96.4
2017-18 722 639 83 319.1 222.8 96.3
2018-19 668 606 62 294.0 207.2 86.8
Universities
1947-48 2 (a) (a) 0.6 0.5 0.1
1954-55 4 (a) (a) 2.0 1.9 0.1
1964-65 6 (a) (a) 13.2 10.5 2.9
1974-75 10 (a) (a) 21.4 16.9 4.5
1984-85 21 (a) (a) 54.0 45.6 8.4
1994-95 25 (a) (a) 80.6 59.5 21.1
1999-00 26 25 1 114.0 86.6 27.4
2004-05 52 49 3 234.1 145.0 89.1
2009-10 72 67 5 357.5 230.1 127.4
2011-12 76 70 6 477.0 303.8 173.2
2012-13 84 76 8 559.0 350.2 208.8
2013-14 91 83 8 658.5 408.0 250.5
2014-15 98 87 11 737.2 455.1 282.1
2015-16 104 92 12 779.0 467.9 311.1
2016-17 104 94 10 837.6 506.1 331.5
2017-18 115 102 13 893.3 527.5 365.7
2018-19 115 102 13 996.2 579.9 416.3
Note:- (a) There is co-education system in universities Contd…
Arts & Science colleges, Professional Colleges & Universities contain public sector data only.
P = Provisional

222
=Educational Institutions
Institute/Year
Number of Teachers (000 No.) Student Per Teacher
7 8 9 10 11 12
Primary Schools
1947-48 17.8 15.4 2.4 43 43 46
1974-75 125.5 83.1 42.4 40 43 34
1984-85 179.0 121.8 57.2 38 38 39
1994-95 375.2 228.5 146.7 38 38 38
1999-00 402.4 232.6 169.8 48 52 42
2004-05 450.1 243.6 206.5 51 54 48
2009-10 441.7 232.8 208.9 62 66 58
2011-12 427.4 228.8 198.6 66 71 60
2012-13 428.8 219.7 209.1 66 71 59
2013-14 420.1 210.6 209.5 68 76 60
2014-15 430.9 212.0 218.9 68 77 60
2015-16 444.6 218.3 226.3 70 80 61
2016-17 475.2 216.3 258.9 70 85 57
2017-18 522.4 238.4 284.0 68 83 55
2018-19 (P) 545.2 240.9 304.3 69 80 58
Middle Schools
1947-48 12.0 11.2 0.8 18 18 26
1974-75 43.5 30.7 12.8 27 30 22
1984-85 57.4 40.4 17.0 31 34 26
1994-95 144.6 63.7 80.9 26 39 17
1999-00 193.9 76.3 117.6 21 33 14
2004-05 246.7 95.2 151.5 19 29 12
2009-10 331.5 114.9 216.6 17 28 11
2011-12 351.4 117.5 233.9 17 29 11
2012-13 362.6 121.1 241.5 17 30 11
2013-14 364.8 121.2 243.6 18 30 11
2014-15 380.8 124.8 256.0 18 30 11
2015-16 394.2 123.9 270.3 17 30 11
2016-17 455.4 129.7 325.7 18 31 11
2017-18 448.1 128.3 319.8 15 30 9
2018-19 (P) 469.2 128.7 340.5 16 32 10
Secondary Schools
1947-48 6.8 6.0 0.8 9 9 10
1974-75 53.6 37.7 15.9 9 10 7
1984-85 82.7 57.3 25.4 8 9 7
1994-95 234.5 130.1 104.4 7 8 5
1999-00 257.1 139.3 117.8 7 8 6
2004-05 290.8 150.3 140.5 7 8 6
2009-10 457.3 224.8 232.5 6 8 5
2011-12 469.4 195.9 273.5 6 9 4
2012-13 501.8 212.0 289.8 6 9 4
2013-14 511.0 212.2 298.8 7 9 5
2014-15 528.2 219.1 309.1 7 10 5
2015-16 538.8 218.9 319.9 7 10 5
2016-17 570.6 226.1 344.6 7 10 5
2017-18 574.0 227.9 346.1 7 10 5
2018-19 (P) 591.2 232.9 358.3 7 10 5
Contd…

223
Institute/Year
Number of Teachers (000 No.) Student Per Teacher
7 8 9 10 11 12
Arts and Science Colleges
1964-65 5.4 4.0 1.4 24 26 17
1974-75 9.6 7.0 2.6 22 21 22
1984-85 14.0 9.7 4.3 27 26 27
1994-95 22.8 14.7 8.1 31 29 34
1999-00 27.7 17.1 10.6 29 25 35
2004-05 31.0 18.0 13.0 33 29 38
2009-10 39.6 23.5 16.0 33 29 38
2011-12 40.3 23.1 17.2 33 30 37
2012-13 44.3 25.7 18.6 33 31 36
2013-14 44.7 25.9 18.8 34 32 38
2014-15 46.4 27.4 19.0 35 32 39
2015-16 49.7 28.6 21.1 33 30 37
2016-17 56.8 31.0 25.8 31 29 33
2017-18 55.7 30.0 25.7 33 32 35
2018-19 P 60.7 33.4 27.3 34 32 35
Professional Colleges
1964-65 1.2 1.0 0.2 15 14 15
1974-75 2.6 2.1 0.5 17 17 16
1984-85 3.9 3.3 0.6 15 15 16
1994-95 6.6 5.2 1.4 15 14 19
1999-00 9.0 7.2 1.8 18 17 23
2004-05 10.0 8.0 2.0 19 18 24
2009-10 14.1 10.3 3.8 16 16 18
2011-12 14.6 10.4 4.2 14 14 15
2012-13 13.3 9.0 4.3 15 15 15
2013-14 16.6 11.3 5.3 14 13 14
2014-15 18.3 12.3 6.0 14 15 13
2015-16 17.6 11.8 5.8 14 15 12
2016-17 19.4 12.6 6.8 15 16 14
2017-18 21.1 14.3 6.8 15 16 14
2018-19 21.3 14.3 6.9 14 14 12
Universities
1964-65 1.3 1.2 0.1 10 9 27
1974-75 2.5 2.2 0.3 9 8 15
1984-85 3.6 3.1 0.5 15 15 17
1994-95 5.3 4.4 0.9 15 14 23
1999-00 5.9 4.7 1.2 19 18 23
2004-05 13.2 9.6 3.6 18 15 25
2009-10 19.6 13.8 5.8 18 17 22
2011-12 23.0 15.8 7.2 21 19 24
2012-13 23.5 15.8 7.7 24 22 27
2013-14 32.0 21.0 11.0 21 19 23
2014-15 33.2 21.8 11.4 22 21 25
2015-16 34.6 22.3 12.3 23 21 25
2016-17 36.8 23.6 13.2 23 21 25
2017-18 37.6 23.1 14.5 24 23 25
2018-19 39.3 24.4 14.9 25 24 28
Source:- 1 Central Bureau of Education 2. Pakistan Bureau of Statistics
3. Academy of Educational Planning & Management, Ibd. 4. Provincial Bureaus of Statistics.
Note:- Professional Colleges include Agriculture, Engineering, Medical, Commerce, Law, Home Economics, Education, Educational
Research, Physical Education, Tibb, Homeopathic and Fine Arts Institutions. P = Provisional

224
Table D-03: Professional Colleges by Type and Sex
(Number)
Year
All
Professional
Colleges
Agricu-
lture
(a)
Engin-
eering
(b)
Medical
(c)
Comm-
erce
(d)
Law
Home
Econo-
mics
Education
(e)
Others
(f)
Total Female Total Total Total Female Total Total Total Total Female Total
1999-00 324 15 5 11 28 2 80 50 4 22 4 124
2000-01 352 18 5 12 27 2 84 50 4 22 4 148
2001-02 374 20 5 13 28 2 87 53 4 22 4 162
2002-03 382 19 4 13 29 2 88 54 4 22 4 168
2003-04 416 20 5 16 30 2 100 56 4 22 4 183
2004-05 408 21 4 15 30 2 100 56 4 20 4 179
2005-06 432 23 4 13 31 2 105 58 4 23 4 194
2006-07 * 416 19 4 *3 33 3 95 58 4 21 3 198
2007-08 447 23 4 2 33 3 117 62 4 24 3 201
2008-09 460 21 4 2 33 3 128 62 4 24 1 203
2009-10 512 25 4 2 38 3 164 62 4 27 2 211
2010-11 598 39 4 3 35 2 241 62 4 40 3 209
2011-12 549 28 4 2 41 2 215 47 4 43 2 193
2012-13 534 28 4 2 44 2 242 42 4 39 3 157
2013-14 616 46 4 2 50 2 254 49 4 74 18 179
2014-15 714 55 4 2 51 3 303 59 4 92 16 199
2015-16 717 68 4 2 52 3 313 58 4 92 18 192
2016-17 712 60 4 2 64 3 291 70 4 78 17 199
2017-18 722 83 4 3 65 3 272 85 4 81 25 208
2018-19 668 62 4 3 68 4 238 83 5 70 18 197
Source:- i) Central Bureau of Education ii) Provincial Bureaus of Statistics
Note:-
(a) Includes Forestry and Animal Husbandry Colleges
(b) Includes colleges of Textile Technology.
(c) Includes colleges of Dentistry and Institute of Hygiene and Preventive Medicines
(d) Includes Institute of Business Administration, University of Karachi.
(e) Includes Institutes of Educational Research of the University of Punjab, Sindh and also Colleges of Physical Education.
(f) Includes Tibb, Homoeopathic and Fine Arts.
* Decrease in Number of Engineering Colleges is due to excluding of Polytechnic Colleges of Punjab province.

225
Table D-04: Teachers in Professional Colleges by Type and Sex
(Number)
Year
All Types Agriculture Engineering Medical Commerce
Total Female Total Female Total Female Total Female Total Female
2004-05 9,961 2,048 126 5 873 36 2,805 684 1,908 194
2005-06 11,158 2,706 82 3 843 29 3,558 1,114 2,350 310
2006-07 11,049 2807 111 3 162 10 3,829 1,133 2,380 323
2007-08 12,211 3174 124 8 91 16 3,634 984 3,142 651
2008-09 1,206 3,533 124 8 91 16 3,869 1,130 3,114 719
2009-10 14,127 3,835 125 8 85 20 4,796 1,316 3,791 761
2010-11 14,911 3,857 126 8 125 6 4,253 1,307 5,058 1,034
2011-12 14,630 4,242 148 9 54 3 5,069 1,970 4,432 902
2012-13 13,249 4,256 126 10 65 4 5,630 2,209 4,212 874
2013-14 16,606 5,334 150 11 79 4 6,855 2,824 4,481 930
2014-15 18,337 6,008 160 30 89 6 7,155 3,073 5,114 1,221
2015-16 17,645 5,762 158 12 100 6 6,895 2,963 5,216 1,174
2016-17 19,454 6,820 171 12 89 6 8,393 3,810 4,454 1,052
2017-18 21,081 6,836 105 13 182 10 8,734 3,840 4,639 1,129
2018-19 21,290 6,938 183 17 163 9 9,404 3,974 4,443 1,129
Year
Law Home Economics Education All Others (a)
Total Female Total Female Total Female Total Female
2004-05 978 127 232 230 510 225 2,529 547
2005-06 955 127 255 253 612 229 2,503 641
2006-07 965 161 243 241 520 202 2,839 734
2007-08 968 161 227 225 455 211 3,570 918
2008-09 934 174 213 213 400 203 3,461 1,070
2009-10 986 167 224 224 570 320 3,550 1,019
2010-11 1,106 159 218 218 685 385 3,340 740
2011-12 946 162 228 228 729 387 3,024 581
2012-13 631 113 240 240 624 323 1,721 483
2013-14 892 164 223 223 1,138 561 2,788 617
2014-15 839 143 232 232 1,510 686 3,238 617
2015-16 604 132 243 242 1,415 641 3,014 592
2016-17 1,142 224 246 246 1,528 847 3,431 623
2017-18 1,639 290 251 251 1,018 373 4,513 930
2018-19 1,311 254 233 233 989 240 4,564 1,082
Source:- Provincial Bureaus of Statistics
(a) = All others include Tibb, Homoeopathic and Fine Arts.

226
Table D-05: Number of Secondary Vocational Institutions by Kind
Year
Commerce/
Commercial
Industrial /
Vocational
Polytechnics /
Technical
1999-00 216 194 55
2000-01 218 196 71
2001-02 200 192 70
2002-03 164 209 78
2003-04 181 235 87
2004-05 178 234 91
2005-06 180 220 103
2006-07 182 222 104
2007-08 181 234 98
2008-09 180 265 100
2009-10 187 282 125
2010-11 186 284 134
2011-12 188 289 136
2012-13 188 346 135
2013-14 191 351 136
2014-15 193 366 136
2015-16 193 318 173
2016-17 196 322 222
2017-18 196 326 185
2018-19 203 541 170
Source:- i). Provincial Bureaus of Statistics
ii). Provincial Directorates of Technical Education

227
Table D-06: Enrollment in Secondary Vocational Institutions by Kind and Sex
(Number)
Year
Type of institutions
Commerce/Commercial Industrial/Vocational Polytechnic/Technical
Total Male Female Total Male Female Total Male Female
1999-00 22,947 22,283 664 8,305 1,933 6,372 33,350 30,782 2,568
2000-01 22,305 21,612 693 8,053 1,719 6,334 31,435 28,760 2,675
2001-02 24,750 24,175 575 ,412 1,549 6,863 31,423 28,597 2,826
2002-03 24,270 23,579 691 10,596 3,452 7,144 33,663 30,943 2,720
2003-04 26,924 26,002 922 17,424 7,611 9,813 33,122 30,227 2,895
2004-05 39,180 37,846 1,334 21,885 9,834 12,051 46,292 42,521 3,771
2005-06 54,570 52,514 2,056 33,566 12,529 21,037 60,937 56,222 4,715
2006-07 58,796 56,777 2,019 23,413 6,644 16,769 62456 58,601 3,855
2007-08 68,823 65,830 2,993 28,974 8,531 20,443 73,626 68,959 4,667
2008-09 66,055 63,218 2,837 25,396 10,679 14,717 69,382 65,189 4,193
2009-10 66,060 63,882 2,178 29,489 12,007 17,482 79,572 75,672 3,900
2010-11 64,192 61,638 2,554 19,154 6,347 12,807 77,291 73,469 3,822
2011-12 64,047 58,631 5,416 22,601 6,023 16,578 74,456 71,982 2,474
2012-13
60,176 57,806 2,370 33,216 8,829 24,387 78,272 74,643 3,629
2013-14 63,154 60,658 2,496 31,295 8,955 22,340 85,217 81,457 3,760
2014-15 45,234 43,082 2,152 36,104 9,123 26,981 101,144 96,836 4,308
2015-16 62,790 60,127 2,663 36,391 8,899 27,492 95,992 91,530 4,462
2016-17 63,864 60,547 3,317 41,152 6,547 34,605 130,608 122,675 7,933
2017-18 64,269 61,404 2,865 36,866 5,882 30,984 96,572 91,358 5,214
2018-19 62,396 58,981 3,415 48,528 23,544 24,984 83,915 79,043 4,872
Source:- i) Provincial Bureaus of Statistics
ii) Provincial Directorates of Technical Education

228
Table D-07: Medical Personnel in Pakistan
(Number)
Year Doctors Dentists Nurses
Qualified Lady
Health visitors
Registered
Midwives
Pharmacists
1995 71,718 2,747 22,299 4,185 20,910 5,820
1996 75,239 2,933 24,776 4,407 21,662 6,015
1997 79,474 3,154 28,661 4,589 21,840 6,855
1998 83,696 3,434 32,938 4,959 22,103 7,723
1999 88,117 3,857 35,979 5,299 22,401 8,515
2000 92,838 4,165 37,528 5,443 22,525 9,620
2001 97,260 4,612 40,019 5,669 22,711 10,515
2002 102,644 5,058 44,520 6,397 23,084 11,320
2003 108,164 5,531 46,331 6,599 23,318 12,120
2004 113,309 6,128 48,446 6,741 23,559 13,330
2005 118,113 6,734 51,270 7,073 23,897 15,225
2006 123,146 7,438 57,646 8,405 24,692 16,565
2007 128,042 8,215 62,651 9,302 25,261 18,320
2008 133,925 9,012 65,387 10,002 25,534 19,215
2009 139,488 9,822 69,313 10,731 26,225 20,350
2010 144,901 10,508 73,244 11,510 27,153 21,565
2011 152,368 11,649 77,683 12,621 30,722 22,850
2012 160,880 12,692 82,119 13,678 31,503 23,975
2013 167,759 13716 86,183 14,388 32,677 25,340
2014 175,223 15,106 90,276 15,325 33,687 26,522
2015 184,711 16,652 94,766 16,448 34,668 29,536
2016 195,896 18,333 99,228 17 ,384 36,326 33,540
2017 208,007 20,463 103,777 18,400 38,060 36,931
2018 220,829 22,595 108,474 19,910 40,272 40,207
2019 233,261 24,930 112,123 20,565 41,810 42,016
Source:- i. PMDC and Nursing Council
ii. Pakistan Pharmacy Council.

229
Table D-08: Hospitals, Dispensaries, Maternity & Child Health Centres and Beds
(Number)
Year
( As on Ist
January)
Hospitals
Dispen-
saries
Maternity and
Child Health
Centres
Rural
Health
Centre
Basic Health
Unit/Sub
Health
Centre
T.B.
Clinic
Total
Beds
1995 827 4,253 859 498 4,986 260 85,805
1996 858 4,513 853 505 5,143 262 88,454
1997 865 4,523 853 513 5,121 262 89,929
1998 872 4,551 852 514 5,155 263 90,659
1999 879 4,583 855 530 5,185 264 92,174
2000 876 4,635 856 531 5,171 274 93,907
2001 907 4,625 879 541 5,230 272 97,945
2002 906 4,590 862 550 5,308 285 98,264
2003 906 4,554 907 552 5,290 289 98,684
2004 916 4,582 906 552 5,301 289 99,908
2005 919 4,632 907 556 5,334 289 101,490
2006 924 4,712 906 560 5,336 288 102,073
2007 945 4,755 903 562 5,349 290 103,285
2008 948 4,794 908 561 5,310 293 103,037
2009 968 4,813 906 572 5,345 293 103,708
2010 972 4,842 909 577 5,344 304 104,137
2011 980 5,039 851 579 5,449 345 107,537
2012 1,092 5,176 628 640 5,478 326 111,802
2013 1,113 5,413 687 667 5,471 329 118,378
2014 1,143 5,448 670 669 5,438 334 118,170
2015 1,172 5,695 733 684 5,478 339 119,548
2016 1,243 5,971 755 668 5,473 345 124,821
2017 1,264 5,654 727 688 5,505 431 131,049
2018 1,279 5,671 747 686 5,527 441 132,227
2019 1,282 5,743 752 670 5,472 412 133,707
Source :- i. Provincial Health Directorate
ii. Punjab Bureau of Statistics

230
Table D-09: Electricity Balances (Public Utilities only)
(GWh)
Sector 2011-12 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
Total Generation 95091 96122 103670 106966 111300 123118 131275 128532
Auxiliary Consumption 2382 3340 3767 3984 4123 4502 3793 2792
Net purchases
from PASMIC (168) 4 9 21 0 0 0 0
Imported 274 375 419 443 463 496 556 487
Net Supply 92815 93161 100340 103445 107640 119112 128037 126226
Consumption 76761 76789 83409 85818 90431 95530 106927 109461
T & D Losses 16054 16372 16932 17627 17209 23582 21110 16765
(as % of Net Supply) 17.3% 17.6% 16.9% 17.0% 16.0% 19.8% 16.5% 13.3%
Source:- Pakistan Energy Year Book-2019 published by Hydrocarbon Development Institute of Pakistan

231
Table D-10: Natural Gas Reserves as on June 30th, 2019
(Trillion Cubic Feet)
Non Associated Gas Fields
Operator
Company
Original
Recoverable
Reserves
Cumulative
Production
Balance
Recoverable
Reserves
Heating Value
Btu/cu. Ft
1 Savi Ragha BGBalochistan 0.03000 0.03000 1159
2 Zamzama OPPLSindh 1.77509 1.63154 0.14355 805
3 Rodho (L.G) Dewan Petr. Punjab 0.27486 0.02798 0.24688 1000
4 Rodho (Chiltan) “ 0.52055 0.05474 0.46581 875
5 Badhra Eni PakSindh 0.31200 0.24900 0.06300 920
6 Bhit “ 1.68200 1.63800 0.04400 840
7 Kadanwari “ 0.68300 0.67100 0.01200 882
8 Lundali “ 0.00211 0.00211 777
9 Aqeeq MPCL Sindh 0.00325 0.00187 0.00139 1035
10 Mari HRL “ 8.72000 5.52450 3.19550 735
11 Mari SML/SUL “ 0.08700 0.03224 0.05476 860
12 Mari PKL “ 0.05970 0.02080 0.03890 710
13 Mari Deep “ 1.63300 0.19913 1.43387 560
14 Mari SML/SUL (SML-1I) “ 0.02120 0.01706 0.00414 865
15 Mari SML/SUL (Shahbaz) “ 0.02760 0.02760 840
16 Mari SML/SUL (Shaheen) “ 0.06790 0.06790 865
17 Mari-Tipu “ 0.11890 0.00003 0.11887 470
18 Kalabagh “ 0.01336 0.00376 0.00960 1115
19 Koonj “ 0.00395 0.00388 0.00007 870
20 Sujawal “ 0.02146 0.01502 0.00644 1020
21 Sujjal “ 0.05352 0.02312 0.03041 1035
22 Zarghun South MPCLBalochistan 0.07672 0.02392 0.05280 923
23 Makori MOL KP 0.05400 0.05300 0.00100 1109
24 Makori Deep “ 0.01100 0.00400 0.00700 1123
25 Tolanj “ 0.00600 0.00400 0.00200 998
26 Tolanj West “ 0.02700 0.00600 0.02100 1013
27 Manzalai “ 0.51700 0.47100 0.04600 1020
28 Mamikhel “ 0.10700 0.09500 0.01200 1091
29 Maramzai “ 0.57500 0.29800 0.27700 1087
30 Mardankhel “ 0.18100 0.03800 0.14300 1104
31 Aradin OGDCL Sindh 0.00226 0.00226 851
32 Bagla “ 0.01485 0.00946 0.00539 950
33 Baloch “ 0.00359 0.00234 0.00125 1148
34 Bhal Syedan OGDCL Punjab 0.00403 0.00343 0.00060 1156
35 Bhambra OGDCL Sindh 0.03849 0.03849 781
36 Bitrism West “ 0.01954 0.00022 0.01932 1230
37 Bahu OGDCL Punjab 0.03520 0.03514 0.00006 467
38 Bobi OGDCL Sindh 0.03453 0.03322 0.00131 1303
39 Chak-2 “ 0.04550 0.02981 0.01569 1125
40 Chak-7A “ 0.00241 0.00219 0.00022 1176
41 Chak-63 “ 0.01027 0.00486 0.00541 1211
42 Chak-63 SE “ 0.00428 0.00392 0.00036 1261
43 Chak-66 “ 0.00137 0.00137 768
44 Chak-66 NE “ 0.00468 0.00125 0.00343 1280
Contd..

232
Non Associated Gas Fields Operator
Company
Original
Recoverable
Reserves
Cumulative
Production
Balance
Recoverable
Reserves
Heating Value
Btu/cu. Ft
45 Chak-5 Dim South OGDCL Sindh 0.02763 0.02535 0.00228 1182
46 Chandio “ 0.02084 0.00024 0.02060 1176
47 Chabaro “ 0.02523 0.02523 1080
48 Chhutto “ 0.02354 0.00293 0.02061 1096
49 Dakhni/Deep OGDCLPunjab 0.40100 0.29635 0.10465 1065
50 Dars OGDCLSindh 0.01217 0.00476 0.00741 1078
51 Dars Deep “ 0.01184 0.00602 0.00582 1095
52 Dars West “ 0.03640 0.00699 0.02941 1045
53 Daru “ 0.02111 0.01960 0.00151 1168
54 Dachrapur “ 0.02405 0.01316 0.01089 928
55 Dhamraki “ 0.00771 0.00771 1182
56 Dhodak OGDCLPunjab 0.24995 0.24695 0.00300 1143
57 Dhodak Deep “ 678
58 Gopang OGDCL Sindh 0.00402 0.00036 0.00366 1254
59 Gundanwari “ 0.02355 0.02355 1275
60 Hakeem Daho “ 0.04792 0.01291 0.03501 1050
61 Hundi “ 0.03223 0.03028 0.00195 860
62 Jand “ 0.01060 0.00047 0.01013 959
63 Jhal Magsi South OGDCLBalochistan 0.03678 0.03678 934
64 Khamiso OGDCLSindh 0.00726 0.00196 0.00530 697
65 Kunar Deep “ 0.78820 0.21256 0.57564 1029
66 Kunar West “ 0.07770 0.01922 0.05848 1029
67 Kunar South “ 0.04225 0.00800 0.03425 1066
68 Lala Jamali “ 0.01420 0.00663 0.00757 1331
69 Loti OGDCLBalochistan 0.42232 0.37538 0.04694 836
70 Maru OGDCLSindh 0.01376 0.00668 0.00708 787
71 Maru East “ 0.00170 0.00162 0.00008 695
72 Maru South “ 0.00666 0.00522 0.00144 760
73 Mela OGDCLKP 0.19684 0.05576 0.14108 1170
74 Mithrao OGDCLSindh 1182
75 Mithri “ 0.00655 0.00655 911
76 Moolan “ 0.01610 0.00056 0.01554 1150
77 Nashpa OGDCLKP 0.65577 0.21782 0.43795 1130
78 Nim OGDCLSindh 0.00166 0.00119 0.00047 1233
79 Nim West OGDCL Sindh 0.00349 0.00349 953
80 Nandpur OGDCL Punjab 0.16932 0.16655 0.00277 227
81 Norai Jagir OGDCL Sindh 0.01086 0.01063 0.00023 1202
82 Nur “ 0.01284 0.00168 0.01116 1233
83 Pakhro “ 0.00450 0.00297 0.00153 970
84 Panjpir OGDCL Punjab 0.05654 0.05622 0.00032 227
85 Pasakhi Deep OGDCL Sindh 0.46200 0.08372 0.37828 895
86 Pasakhi East “ 0.02660 0.00724 0.01936 1012
87 Pasakhi WD “ 0.03500 0.00029 0.03471 1142
88 Pirkoh OGDCLBalochistan 1.05735 1.05379 0.00356 870
Contd..

233
Operator
Company
Original
Recoverable
Reserves
Cumulative
Production
Balance
Recoverable
Reserves
Heating Value
Btu/cu. Ft
89 Qadirpur OGDCL Sindh 4.71760 3.55030 1.16730 887
90 Resham “ 0.00120 0.00102 0.00018 1215
91 Reti “ 0.00991 0.00684 0.00307 763
92 Saand “ 0.01470 0.01470 813
93 Sadkal OGDCL Punjab 0.07932 0.07687 0.00245 1162
94 Sari OGDCL Sindh 0.01999 0.01953 0.00046 860
95 Shah “ 0.02030 0.00851 0.01179 1284
96 Shekhan “ 0.00168 0.00168 1040
97 Soghri “ 0.03241 0.01220 0.02021 1050
98 Suleman “ 0.04230 0.04230 873
99 Tando Allah Yar “ 0.01575 0.00878 0.00697 888
100 Tando Allah Yar North “ 0.00157 0.00157 888
101 Tando Allah Yar SW “ 0.02939 0.02939 1023
102 Thal East “ 0.02853 0.02853 767
103 Thal West “ 0.01119 0.01119 925
104 Thora Deep “ 0.03761 0.00794 0.02967 1028
105 Uch OGDCL Balochistan 5.16000 1.88649 3.27351 425
106 Unar OGDCL Sindh 0.03080 0.00724 0.02356 1034
107 Zin OGDCL Balochistan 1.13224 1.13224 517
108 Latif OMV Sindh 0.39433 0.23644 0.15789 1007
109 Miano “ 0.74899 0.65807 0.09092 997
110 Sawan “ 1.59534 1.51172 0.08362 1007
111 Tajjal “ 0.05500 0.05069 0.00431 1007
112 Ratana OPL Punjab 0.19950 0.06758 0.13192 1106
113 Aminah PEL Sindh 0.00970 0.00970 995
114 Ayesha “ 0.00960 0.00960 967
115 Ayesha North “ 0.00850 0.00850 967
116 Badar “ 0.09340 0.07200 0.02140 572
117 Kandra “ 1.85800 1.85800 143
118 Khanpur “ 0.00910 0.00900 0.00010 851
119 Hamza “ 0.00900 0.00900 644
120 Hasan “ 0.07140 0.06870 0.00270 639
121 Sadiq “ 0.00430 0.00330 0.00100 654
122 Zainab PEL KP 0.00670 0.00670 1201
124 Adhi PPL Punjab 0.57096 0.31609 0.25487 1200
125 Adhi (Sakessar) “ 0.02360 0.01438 0.00922 1220
126 Adhi South “ 0.04880 0.00065 0.04815 1220
127 Adam PPL Sindh 0.02790 0.02299 0.00491 879
128 Adam West “ 0.03706 0.02037 0.01669 986
129 Badeel “ 0.03003 0.03003 777
130 Chachar “ 0.02770 0.02312 0.00458 785
131 Faiz “ 750
132 Fazl “ 0.01370 0.01370 1010
133 Hadaf “ 0.04949 0.04949 1102
134 Kandhkot PPL Sindh 1.98202 1.40634 0.57568 820
Contd..

234
Operator
Company
Original
Recoverable
Reserves
Cumulative
Production
Balance
Recoverable
Reserves
Heating Value
Btu/cu. Ft
135 Kinza PPL Sindh 0.00370 0.00044 0.00326 890
136 Mazarani “ 0.04871 0.04848 0.00023 1008
137 Shahdad “ 0.04083 0.01382 0.02701 1040
138 Sharf “ 0.35800 0.05387 0.30413 650
139 Sui Deep PPL Balochistan
140 Sui-SML “ 11.31800 10.45801 0.85999 955
141 Sui-HRL “ 0.07800 0.02888 0.04912 375
142 Sui-pab “ 0.16700 0.13127 0.03573 911
143 Sui-Sul “ 0.84600 0.65390 0.19210 996
144 Kabir PPL Sindh 0.01620 0.00076 0.01544 1190
145 Zafir “ 0.09750 0.09750 760
146 Rehmat OMV Maurice Sindh 0.03900 0.03900 978
147 Mehar “ 0.09529 0.03270 0.06259 1079
148 Mitha “ 0.00860 0.00215 0.00646 997
149 Saqib “ 0.02020 0.02020 941
150 Sofiya “ 0.03133 0.00593 0.02539 1079
151 Bela POL Punjab 0.00800 0.00159 0.00641 1031
152 Sara Spud Energy Sindh 0.02753 0.02673 0.00080 797
153 Suri “ 0.03208 0.02920 0.00288 815
154 Haseeb Hycarbex 0.17000 0.01200 0.15800 810
155 Ali UEPL Sindh 0.02108 0.01792 0.00317 1063
156 Ahmed “ 0.00052 0.00052 944
157 Amdani “ 0.00000 0.00000 617
158 Ali-2 “ 0.01944 0.00263 0.01681 1002
159 Babarki “ 0.00098 0.00079 0.00019 1033
160 Bago “ 0.00077 0.00015 0.00063 869
161 Bakhsh Deep “ 0.01155 0.01056 0.00099 899
162 Baqar Deep “ 0.00601 0.00601 1023
163 Baudero “ 0.00196 0.00088 0.00109 961
164 Bhanoki “ 0.00182 0.00182 1087
165 Bilal/Bilal North/Siraj South “ 0.01915 0.01915 986
166 Bhatti/Nakurji “ 0.08069 0.08061 0.00008 1092
167 Bukhari “ 0.09698 0.09698 1007
168 Bukhari Deep “ 0.02371 0.02200 0.00171 1056
169 Buzdar Unit “ 0.18531 0.18439 0.00093 1026
170 Buzdar South “ 0.00282 0.00207 0.00075 943
171 Buzdar South Deep “ 0.03920 0.03027 0.00893 1084
172 Chaman “ 0.00275 0.00272 0.00003 1014
173 Fatehshah “ 0.00263 0.00263 1026
174 Fatehshah North “ 0.00481 0.00481 1076
175 Gagani “ 0.00009 0.00009 900
176 Golarchi “ 0.08221 0.08215 0.00006 1041
177 Hakro “ 0.00188 0.00064 0.00124 1104
178 Haider Deep “ 0.00083 0.00057 0.00025 971
179 Hayat “ 0.00172 0.00158 0.00014 1152
Contd..

235
Operator
Company
Original
Recoverable
Reserves
Cumulative
Production
Balance
Recoverable
Reserves
Heating Value
Btu/cu. Ft
180 Jabo UEPL Sindh 0.01493 0.01493 912
181 Jalal “ 0.03459 0.03459 1030
182 Jarar Deep “ 0.00781 0.00781 1070
183 Jhaberi “ 0.00617 0.00428 0.00189 734
184 Jhok “ 0.00010 0.00010 1093
185 Jogwani “ 0.06177 0.06177 981
186 Junathi South “ 0.00485 0.00485 1020
187 Kamal North “ 0.01229 0.00870 0.00359 1261
188 Kamal North 3 “ 0.00004 0.00004 1251
189 Kausar/Usman “ 0.11385 0.11140 0.00245 949
190 Kato “ 0.00685 0.00680 0.00004 1268
191 Khaskheli North “ 0.00052 0.00052 1170
192 Khorewah “ 0.17917 0.16943 0.00973 1132
193 Khorewah Deep “ 0.01177 0.01027 0.00150 1080
194 Koli “ 0.01653 0.01653 115
195 Korai “ 0.02036 0.01433 0.00603 1097
196 Korai North “ 0.00000 0.00000 1025
197 Kumbh “ 0.00190 0.00123 0.00068 927
198 Liari Deep “ 0.01020 0.01015 0.00005 1146
199 Limu “ 0.00033 0.00033 1044
200 Limu East “ 0.00001 0.00001 1075
201 Limu North “ 0.00404 0.00404 1034
202 Lodano “ 0.01180 0.00418 0.00761 1054
203 Lodano Deep “ 0.00400 0.00339 0.00061 1058
204 Mahi “ 0.00485 0.00485 1038
205 Malah “ 0.00131 0.00050 0.00082 1154
206 Mewa “ 0.00062 0.00057 0.00006 1033
207 Makrani “ 0.00235 0.00018 0.00217 1158
208 Malkani “ 0.00003 0.00003 1151
209 Missri “ 0.01337 0.01194 0.00143 753
210 Mulaki “ 0.00341 0.00341 1099
211 Makhdumpur “ 0.05657 0.05375 0.00282 1136
212 Makhdumpur Deep “ 0.02695 0.02311 0.00385 1100
213 Matli “ 0.05035 0.05023 0.00012 1022
214 Mohib “ 0.00470 0.00123 0.00347 992
215 Mohri “ 0.00139 0.00139 1124
216 Mor “ 0.00195 0.00195 928
217 Moroja “ 0.00280 0.00249 0.00031 1085
218 Niamat Basal “ 0.04830 0.04102 0.00727 1007
219 Naimat Basal 2X “ 0.00111 0.00067 0.00044 1310
220 Naimat West “ 0.46920 0.19277 0.27643 742
221 Nando “ 0.00024 0.00024 1135
Contd..

236
Operator
Company
Original
Recoverable
Reserves
Cumulative
Production
Balance
Recoverable
Reserves
Heating Value
Btu/cu. Ft
222 Nurpur Deep UEPL Sindh 0.00265 0.00265 962
223 Oderolal “ 0.00122 0.00122 1136
224 Pir “ 0.00816 0.00816 1041
225 Pir Apan “ 0.00502 0.00502 847
226 Piaro Deep “ 0.00337 0.00332 0.00005 1149
227 Piaro Deep Basal “ 0.00375 0.00223 0.00152 1052
228 Qasim Deep “ 0.00863 0.00697 0.00166 938
229 Raj “ 0.00407 0.00136 0.00271 966
230 Rajani “ 0.37949 0.23578 0.14371 992
231 Ragni Deep “ 0.00065 0.00065 919
232 Rajpari “ 0.00000 0.00000 1223
233 Rind “ 0.00252 0.00252 1101
234 Rahim “ 0.01130 0.00578 0.00552 1005
235 Ramdiani “ 0.00214 0.00016 0.00198 1096
236 Rawal “ 0.00047 0.00023 0.00023 1117
237 Roshnai “ 0.00250 0.00209 0.00041 1192
238 Sahu “ 0.00190 0.00092 0.00097 1025
239 Sajan “ 0.00393 0.00355 0.00038 1071
240 Sakhi Deep “ 0.03154 0.02943 0.00211 1629
241 Sakhi South Deep “ 0.02292 0.02292 985
242 Salamat “ 0.04324 0.04040 0.00284 1004
243 Saman “ 0.00014 0.00004 0.00010 1140
244 Shah Dino “ 0.00056 0.00056 820
245 Sonro “ 0.03237 0.03179 0.00058 1118
246 Sohrab Deep “ 0.11517 0.09879 0.01638 1099
247 Suhrat “ 0.00174 0.00091 0.00083 1072
248 Sumar Deep “ 0.01828 0.01457 0.00371 1161
249 Sutiari Deep “ 0.29256 0.13327 0.15929 725
250 Tangri Deep “ 0.00991 0.00944 0.00047 1110
251 Tando Ghulam Ali “ 0.01567 0.01307 0.00261 986
252 Tharo “ 0.00898 0.00600 0.00298 1040
253 Tharo West “ 0.00065 0.00065 1098
254 Thebo “ 0.00362 0.00323 0.00038 1077
255 Turk “ 0.16886 0.16617 0.00270 1141
256 Turk Deep “ 0.12111 0.11312 0.00799 1109
257 Umar “ 0.01611 0.00848 0.00764 1139
258 Warar “ 0.00006 0.00006 1041
259 Wassayo “ 0.00047 0.00047 1004
260 Zaur “ 0.03410 0.03387 0.00023 1613
261 Zaur Deep “ 0.02443 0.01556 0.00887 1152
262 Zaur West “ 0.00060 0.00060 1127
263 Zaur South “ 0.00135 0.00135 1162
264 Rizq POGC Sindh 0.13664 0.01295 0.12369 927
265 POGC Rehman “ 0.14149 0.02643 0.11506 933
Associated Gases - 2.02059 1.39959 0.62100
TOTAL: TCF - 61.1959280 39.750295 21.445633
Normalized TCF at 900 but/cu.ft. - 55.65712 39.03270 16.62442
Million:TOE - 1,195.64 838.51 357.13
Source:- Pakistan Energy Year Book-2019 published by Hydrocarbon Development Institute of Pakistan

237
Table D-11: Associated Gas Reserves as on 30th June, 2019
(Trillion cubic feet)
Oil Field Operator
Original
Recoverable
Reserves
Cumulative
Production
Balance
Recoverable
Reserves
Heating Value
Btu/cu.ft
01 Makori East MOL 0.38100 0.16000 0.22100 1171
02 Buzdar North OGDCL - - - 1319
03 Chak- Naurang “ - - - -
04 Chanda “ 0.04927 0.03768 0.01159 1150
05 Fimkassar “ 0.01334 0.01300 0.00034 1250
06 Jakhro “ 0.00796 0.00597 0.00199 845
07 Kal “ 0.00243 0.00229 0.00014 1326
08 Kunar “ 0.07436 0.05493 0.01943 1202
09 Lashari Centre “ 0.00264 0.00264 1120
10 Missakaswal “ 0.02196 0.02186 0.00010 1220
11 Missan “ 0.00003 0.00003 1078
12 Pali “ 953
13 Pali Deep 0.00002 0.00002
14 Pasakhi “ 0.01070 0.00838 0.00232 1334
15 Rajian “ 0.01236 0.00405 0.00831 1335
16 Sono “ 0.00289 0.00289 1553
17 Tando Alam “ 0.00304 0.00304 1046
18 Thora “ 0.00256 0.00256 1040
19 Toot “ 0.05864 0.05833 0.00031 1127
20 Bhangali OPL 0.01665 0.00928 0.00737 1319
21 Dhurnal “ 0.15153 0.13215 0.01938 1288
22 Jhandial POL 0.29206 0.00453 0.28753 1105
23 Dhulian “ 0.22602 0.22005 0.00597 1240
24 Meyal “ 0.28713 0.28337 0.00376 1265
25 Pariwali “ 0.09490 0.08678 0.00812 1141
26 Pindori “ 0.07888 0.07289 0.00599 1219
27 Turkwal “ 0.00404 0.00370 0.00034 1258
28 Dhok Sultan PPL 0.00127 - 0.00127 1300
29 Ali Zaur UEPL 0.00196 0.00196 - 1513
30 Aassu “ 0.00049 0.00049 - -
31 Bachal “ 0.00234 0.00229 0.00005 1034
32 Bijoro “ 0.00012 0.00012 - -
33 Bukhari North “ 0.00133 0.00096 0.00037 1045
34 Dabhi “ 0.03264 0.03264 - 1017
35 Dabhi North “ 0.00116 0.00095 0.00020 907
36 Dabhi South “ 0.01677 0.01670 0.00007 1064
37 Dang “ 0.00001 0.00001 - 1000
38 Dhani “ 0.00046 0.00006 0.00040 1048
39 Duphri “ 0.00942 0.00942 - 1024
40 Gharo “ 0.00034 0.00034 - -
41 Ghunghro “ 0.00182 0.00182 - -
Contd..

238
Table D-11: Associated Gas Reserves as on 30th June, 2019
(Trillion cubic feet)
Oil Field Operator
Original
Recoverable
Reserves
Cumulative
Production
Balance
Recoverable
Reserves
Heating Value
Btu/cu.ft
42 Gormani UEPL 0.00153 0.00026 0.00127 821
43 Gulsher “ 0.00003 0.00003
44 Guni “ 0.00006 0.00006 1098
45 Halipota “ 0.00817 0.00482 0.00335 1061
46 Jan “ 0.00001 0.00001 - -
47Jagir “ 0.00227 0.00223 0.00004 1184
48Jhaberi South “ 0.00491 0.00491 - 999
49Khaskeli “ 0.00934 0.00934 - 1129
50Khaskheli DT “ 0.00009 0.00009 - -
51Laghari “ 0.00697 0.00697 - -
52 Liari “ 0.00304 0.00304 - 1172
53 Mazari “ 0.01564 0.01441 0.00123 989
54 Mazari South “ 0.00523 0.00482 0.00040 1071
55 Mazari South Deep “ 0.00758 0.00522 0.00236 1106
56 Mohano “ 0.00062 0.00010 0.00051 -
57 Murid “ 0.00030 0.00030 - -
58 M.Ismail Deep “ 0.04169 0.04097 0.00072 1050
59 Nari “ 0.01009 0.00805 0.00204 996
60 Rahim North “ 0.00457 0.00455 0.00002 882
61 Rawat “ 0.00014 0.00014 - 1174
62Sakhi “ 0.00864 0.00864 - 1283
63 Saleh “ 0.00333 0.00145 0.00188 1279
64 Shekhano “ 0.00730 0.00730 - 1090
65 Shekhano Deep “ 0.00005 0.00005 - -
66 Sukhi “ 0.00031 0.00031 - 1051
67 Sukhi South “ 0.00004 0.00004
68 Tajedi “ 0.00016 0.00016 - -
69 Tangri “ 0.00588 0.00538 0.00050 1102
70 Umer-2 “ 0.00223 0.00189 0.00034 1157
71 Akri North “ 0.00088 0.00088 - -
72 Bari “ 0.00122 0.00122 - 1052
73 Keyhole G “ 0.00008 0.00008 - -
74 Meyun Ismail “ 0.00072 0.00072 - 1061
75 Muban “ 0.00229 0.00229 - -
76 Paniro “ 0.00064 0.00064 - 1033
77 Rajo “ 0.00005 0.00005 - -
TOTAL: TCF 2.020593 1.39959 0.62100 -
Normalized TCF
at 900 btu/cu.ft. 2.13699 1.63409 0.50290 -
Million TOE 45.91 35.10 10.80 -
( * ) Includes Mazari South and “Mazari South Deep
( ** ) Includes Akri North, Bari, Keyhole G, M Ismail, Muban, Paniro and Rajo

239
Table D-12: Pakistan Coal Resources as on 30th June, 2019
Province Coal Field
Seam
Thickness
Range
(Metres)
Resources (Million Tonnes)
Total
Measured
Reserved
Indicated Inferred Hypothetical Status
1 2 3 4 5 6 7 8
Balochistan
Barkhan-Chamalang 0.3-2.0 6 1 - 5 - Dev.
Duki 0.2-2.3 50 14 11 25 - Dev.
Mach-Abegum 0.6-1.3 23 9 - 14 - Dev.
Sor Range-Degari 0.3-1.3 50 15 - 19 16 Dev.
Pir Ismail Ziarat 0.4-0.7 12 2 2 8 - Dev.
Khost-Sharig-Harnai 0.3-2.3 76 13 - 63 - Dev.
Sub-Total: - 217 54 13 134 16
Punjab
Makarwal 0.3-2.0 22 5 8 9 - Dev.
Salt Range 0.15-1.2 213 50 16 2 145 Dev.
Sub-Total: - 235 55 24 11 145 -
Sindh
Lakhra 0.3-3.3 1328 244 629 455 - Dev.
Sonda-Thatta 0.3-1.5 3700 60 511 2197 932 Non-Dev.
Jherruck 0.3-6.2 1823 106 810 907 - Non-Dev.
Ongar 0.3-1.5 312 18 77 217 - Non-Dev.
Indus East 0.3-2.5 1777 51 170 1556 - Non-Dev.
Meting-Jhimpir 0.3-1.0 161 10 43 108 - Dev.
Badin 0.55-3.1 850 150 0 200 500 Non-Dev.
Thar Coal* 0.2-22.81 175505 7025 17130 38650 112700 Non-Dev.
Sub-Total: - 185456 7664 19370 44290 114132 -
Khyber Pakhtunkhwa
Hangu/Orakzai .043-0.6 82 1.0 4.5 76 - Dev.
Cherat/Gulla Khel 0.8-1.2 9 0.5 - 8 - Dev.
Sub-Total 90 1.5 4.5 84 - -
Azad Kashmir
Kotli 0.25-1.0 9 1 1 7 - Dev.
Sub-Total: - 9 1 1 7 - -
Total: - 186007 7775.5 19412.5 44526 114293 -
Contd..
* Measured reserved to Thar have been reduced by GSP after drilling and recalculation to remove overlaps in previous
estimates. For Block-wise reserve/resources of Thar
hvAb: High volatile A bituminous coal SubA: Sub bituminous A coal LigA: Lignite A coal
hvBb: High volatile B bituminous coal SubB: Sub bituminous B coal LigB: Lignite B coal
hvCb: High volatile C bituminous coal SubC: Sub bituminous C coal LigC: Lignite C coal

240
Table D-12: Pakistan Coal Resources as on 30th June, 2019
Province Coal Field
Coal Quality Proximate Analysis (%)
Rank as per
ASTM
Classification
Heating Value
Range (mmmf)
(Btu/lb)
Moisture
Volatile
Matter
Fixed
Carbon Ash
Total
Sulphur
1 9 10 11 12 13 14 15
Balochistan
Barkhan-Chamalar 1.1-2.9 24.9-43.5 19.4-47.1 9.1-36.5 3.0-8.5 hvCb to hvAb 12500-14357
Duki 3.5-11.5 32.0-50.0 28.0-42.0 5.0-38.0 4.0-6.0 SubB to hvAb 10131-14164
Mach-Abegum 7.1-12.0 34.2-43.0 32.4-41.5 9.6-20.3 3.2-7.4 SubA to hvCb 11110-12937
Sor Range-Degari 3.9-18.9 20.7-37.5 41.0-50.8 4.9-17.2 0.6-5.5 SubA to hvBb 11245-13900
Pir Ismail Ziarat 6.3-13.2 34.6-41.0 19.3-42.5 10.3-37.5 3.2-7.4 SubA to hvCb 10786-11996
Khost-Sharig-Hamal 1.7-11.2 9.3-45.3 25.5-43.8 9.3-34.0 3.5-9.55 SubB to hvAb 9637-15499
Punjab
Makarwal 2.8-6.0 31.5-48.1 34.9-44.9 6.4-30.8 2.8-6.3 SubA to hvAb 10688-14029
Salt Range 3.2-10.8 21.5-38.8 25.7-44.8 12.3-44.2 2.6-10.7 SubC to hvAb 9472-15801
Sindh
Lakhra 9.7-38.1 18.3-38.6 9.8-38.2 4.3-49.0 1.2-14.8 LigB to SubC 5503-9158
Sonda-Thatta 22.6-48.0 16.1-36.9 8.9-31.6 2.7-52.0 0.2-15.0 SubC to hvBb 8878-13555
Jherruck 9.0-39.5 20.0-44.2 15.0-58.8 5.0-39.0 0.4-7.7 SubC to hvCb 8800-12846
Ongar 9.0-39.5 20.0-44.2 15.0-58.8 5.0-39.0 0.4-7.7 LigB to SubA 5219-11172
Indus East 9.0-39.5 20.0-44.2 15.0-58.8 5.0-39.0 0.4-7.7 LigA to SubC 7782-8660
Meting-Jhimpir 26.6-36.6 25.2-34.0 24.1-32.2 8.2-16.8 2.9-5.1 LigA to SubC 7734-8612
Badin - - - - - - 11415-11521
Thar Coal* 29.6-55.5 23.1-36.6 14.2-34.0 2.9-11.5 0.4-2.9 LigB to SubA 6244-1104
Khyber Pakhtunkhwa
Hangu/Orakzai 0.2-2.5 16.2-33.4 21.8-49.8 5.3-43.3 1.5-9.5 SubA to hvAb 10500-14149
Cherat/Gulla Khel 0.1-7.1 14.0-31.2 37.0-76.9 6.1-39.0 1.1-3.5 SubC to hvAb 9386-14171
Azad Kashmir
Kotli 0.2-6.0 5.1-32.0 26.3-69.5 3.3-50.0 0.3-4.8 LigA to hvCb 7336-12338
mmmf: Moist mineral matter free

241
Table D-13: Bunkering of Petroleum Products
(Unit:Qty. in Tonnes)
(QTY. IN TOE)
Products
Year
2011-12 2012-13 2013-14 2014-15 2015-16 2016-17 2017-18 2018-19
JP-1
199921 183527 198705 196225 209183 240240 271330 288182
206239 189326 204984 202426 215793 247832 279904 297289
(230.99) (202.65) (213.73) (170.82) (111.37) (142.56) (190.78) (230.61)
HSD
8028 9183 6994 5172 5148 8636 5567 2931
8440 9654 7353 5437 5412 9079 5853 3081
(14.71) (10.15) (7.76) (4.24) (2.81) (5.56) (3.87) (2.22)
LDO
961 199 - - - - - -
1001 207 - - - - - -
(0.85) (0.18) - - - - - -
Furnace Oil
91130 84462 88733 60059 46348 39141 33196 29981
88733 82241 86399 58479 45129 38112 32323 29192
(65.14) (56.62) (56.39) (42.19) (12.88) (14.74) (14.04) (13.93)
Total
300040 277371 294432 261456 260679 288017 310093 321094
304413 281429 298736 266342 266334 295022 318080 329562
(311.69) (269.60) (277.88) (217.25) (127.06) (162.86) (208.69) (246.76)

242
Table D-14: Immunization Coverage
(000 Number)
Year B.C.G
Polio D.P.T
I II III BR I II III BR
2005 5,203 7,484 4,387 4,160 49 4,581 4,127 3,919 -
2006 5,364 8,097 4,870 4,739 33 5,275 4,886 4,756 -
2007 5,790 8,743 5,179 5,070 47 1,711 1,523 1,479 -
2008 5,884 8,985 5,034 4,819 61 - - - -
2009 6,133 9,535 5,403 5,277 36 - - - -
2010 5,925 9,626 5,527 5,422 81 - - - -
2011 5,813 9,543 5,356 5,218 86 - - - -
2012 6,062 10,023 5,446 5,330 - - - - -
2013 6,186 10,369 5,539 5,398 - - - - -
2014 6,151 10,585 5,495 5,369 - - - - -
2015 5,848 10,540 5,388 5,257 - - - - -
2016 6,234 11,111 5,538 5,379 - - - - -
2017 6,357 11,422 5,618 5,455 - - - - -
2018 6,608 11,957 6,138 5,672 - - - - -
2019 7,262 12,839 6,249 6,116 - - - - -
Year
HBV T.T
Measles
I II III I II III IV V
2005 4,458 4,065 3,841 4,539 2,858 793 519 157 4,387
2006 5,053 4,692 4,571 4,069 3,133 895 286 176 5,050
2007 1,618 1,441 1,401 3,878 3,048 810 239 141 5,386
2008 - - - 4,307 3,385 866 279 152 5,278
2009 - - - 4,920 3,792 938 285 169 7,104
2010 - - - 5,051 4,065 897 268 165 8,099
2011 - - - 5,090 4,121 812 234 127 8,211
2012 - - - 5,362 4,279 815 230 128 9,086
2013 - - - 5,157 4,235 787 312 130 10,113
2014 - - - 4,536 3,702 577 185 106 6,701
2015 - - - 5,048 4,063 587 158 87 9,386
2016 - - - 4,570 3,935 398 98 57 10,301
2017 - - - 4,690 3,994 191 52 27 10,317
2018 - - - 4,875 4,103 192 58 31 10,189
2019 - - - 5,272 4,561 251 71 37 11,709
Year PENTAVALENT** PNEUMOCCAL(PCV10)
I II III I II III
2009 5,925 5,461 5,339 - - -
2010 5,863 5,555 5,407 - - -
2011 5,606 5,267 5,129 - - -
2012 5,773 5,400 5,276 - - -
2013 5,922 5,553 5,412 3,589 3,195 3,008
2014 5,844 5,491 5,371 5,526 5,197 5,072
2015 5,713 5,353 5,226 5,642 5,389 5,176
2016 5,933 5,532 5,372 5,884 5,506 5,375
2017 6,009 5,625 5,472 5,994 5,605 5,470
2018 5,527 6,139 5,676 5,529 6,136 5,673
2019 6,726 6,361 6,231 6,725 6,357 6,229
Source:- i.Health Division ii. National Institute of Health
Note:- Since 2002 data for HBV started instead of DT
B.C.G= Bacillus + Calamus + Guerin D.P.T= Diphtheria, Prtussis and Tatanus T.T= Tetanus + Toxoid
H.B.V= Hepatitis B Vaccine

243
Table D-15: Performance of Contraceptive Delivery Services through Population Welfare
Programme, Pakistan
Year
IUD
(No. of
cases)
Sterilization
(No. of cases
male/female)
Oral Pills
(No. of
cycles)
Condom
(In gross)
Injectable
(vials)
Foam
(bottles)
Couple year
of Protection
(CYP)
1991-92 750,125 79,663 1,018,360 599,659 841,088 53,943 -
1992-93 638,901 85,164 860,765 296,548 662,298 16,382 -
1993-94 542,999 85,436 844,065 305,289 878,776 89,198 -
1994-95 713,922 93,553 1,017,405 564,158 1,026,290 116,483 -
1995-96 692,474 99,336 1,235,905 666,150 1,079,867 27,475 -
1996-97 632,880 96,652 1,477,514 807,304 1,196,998 3,285 -
1997-98 873,326 105,513 2,467,032 980,404 1,646,392 5,334 -
1998-99 1,047,634 126,589 2,828,628 817,371 1,968,686 - -
1999-00 979,342 139,024 3,411,784 646,628 2,101,028 - -
2000-01 891,726 121,595 4,237,238 832,420 1,714,953 - -
2001-02 1,056,743 124,412 4,189,899 852,058 1,873,495 - -
2002-03 1,146,786 130,412 5,562,431 970,112 2,014,536 - -
2003-04 1,043,951 143,328 6,641,867 995,932 1,972,259 - -
2004-05 872,302 157,228 8,066,826 702,560 2,143,917 - 6,687,540
2005-06 975,015 170,968 8,022,341 958,427 2,536,885 - 7,550,278
2006-07 1,262,249 187,724 8,820,538 1,133,404 3,086,735 - 9,103,208
2007-08 1,365,465 205,440 6,681,477 1,151,950 3,096,786 - 9,563,867
2008-09 1,309,420 187,542 5,335,096 920,282 2,792,802 - 8,761,760
2009-10 1,317,609 178,374 5,752,340 1,127,155 3,190,884 - 8,990,128
2010-11 1,208,367 120,302 5,802,085 1,123,281 2,996,993 - 8,031,124
2011-12 1,315,298 119,582 6,223,180 1,036,655 2,705,346 - 8,090,921
2012-13 1,420,464 103,842 6,573,102 1,308,691 2,986,989 Implant (Pieces) 8,613,944
2013-14 1,666,406 112,224 6,791,654 1,341,667 2,840,378 9,626 9,621,805
2014-15 1,787,502 216,081 15,003,584 1,794,173 7,303951 54,993 15,096,730
2015-16 1,821,158 186,222 15,037,055 1,895,972 6,702,686 58,436 15,061,332
2016-17 1,891,463 169,615 19,133,954 1,902,353 9,258,681 89,998 16,185,079
2017-18 1,828,543 173,686 16,849,976 1,880,603 8,170,274 133,152 15,755,706
2018-19 (P) 1,993,897 159,327 17,781,767 2,018,602 7,942,245 81,508 16,384,477
Contd…
Note:- Total figures of Pakistan do not tally due to inclusion of the performance of Islamabad, AJK & GB

244
Programme, Balochistan
Year
IUD
(No. of
cases)
Sterilization
(No. of cases
male/female)
Oral Pills
(No. of
cycles)
Condom
(In gross)
Injectable
(vials)
Foam
(bottles)
Couple year
of Protection
(CYP)
1991-92 21,401 643 38,795 10,087 21,459 493 -
1992-93 14,932 845 24,096 2,327 11,570 279 -
1993-94 13,435 894 30,190 4,040 22,349 2,868 -
1994-95 12,872 1,136 47,597 5,883 21,567 4,274 -
1995-96 11,590 1,299 53,733 5,012 23,532 696 -
1996-97 12,537 1,467 71,612 5,051 32,215 - -
1997-98 19,250 1,642 85,762 6,372 51,448 - -
1998-99 19,162 1,772 91,776 9,278 50,217 - -
1999-00 19,140 1,398 109,341 11,859 52,371 - -
2000-01 13,868 1,282 126,766 14,170 38,999 - -
2001-02 16,114 1,453 89,456 10,113 39,783 - -
2002-03 13,700 1,528 83,495 9,263 36,796 - -
2003-04 11,995 1,674 101,020 10,575 35,233 - -
2004-05 14,640 2,201 128,722 13,096 42,216 - 108,874
2005-06 15,759 2,163 156,161 15,559 44,728 - 117,109
2006-07 18,805 2,069 173,168 17,537 46,758 - 130,113
2007-08 19,769 1,984 193,104 19,948 46,334 - 136,079
2008-09 20,254 2,017 191,533 19,732 46,824 - 137,968
2009-10 18,689 1,876 190,636 17,447 47,594 - 128,536
2010-11 16,738 1,400 170,075 17,047 44,140 - 115,859
2011-12 16,842 1,377 133,821 15,043 41,349 - 108,394
2012-13 16,085 1,083 114,043 14,798 38,155 - 99,867
2013-14 16,611 1,181 126,875 14,590 39,309 Implant (Pieces) 103,812
2014-15 29,413 7,154 681,164 33,093 261,165 333 345,124
2015-16 33,780 7,529 559,610 28,098 164,942 399 336,817
2016-17 27,386 3,294 453,848 25,909 200,154 695 264,991
2017-18 24,951 2,084 511,698 27,338 179,278 1,153 245,536
2018-19 (P) 24,910 1,770 653,820 34,442 215,778 2,376 275,256
Contd…

245
Programme, Khyber Pakhtunkhwa
Year
IUD
(No. of
Cases)
Sterilization
(No. of cases
male/female)
Oral Pills
(No. of
cycles)
Condom
(In gross)
injectable
(vials)
Foam
(bottles)
Couple year
of Protection
(CYP)
1991-92 73,535 6,781 145,997 23,531 83,763 1,121 -
1992-93 74,877 6,447 94,953 7,238 60,554 808 -
1993-94 64,724 7,969 124,041 9,334 101,082 9,340 -
1994-95 68,454 8,252 137,922 17,220 113,730 12,934 -
1995-96 62,259 9,822 174,655 19,111 114,198 2,633 -
1996-97 48,911 8,738 208,787 16,786 156,110 2 -
1997-98 61,330 8,492 263,079 23,145 225,533 - -
1998-99 67,389 10,154 316,978 29,341 277,552 - -
1999-00 60,057 9,121 346,383 38,200 285,208 - -
2000-01 52,380 9,870 457,649 48,571 253,881 - -
2001-02 62,472 9,763 281,624 31,853 202,032 - -
2002-03 109,556 9,341 341,424 35,627 240,611 - -
2003-04 73,515 8,215 305,502 31,508 220,939 - -
2004-05 76,093 7,021 342,512 35,394 282,955 - 468,907
2005-06 87,572 6,439 436,662 46,659 341,848 - 531,129
2006-07 118,928 6,509 587,885 61,555 396,873 - 677,733
2007-08 140,219 6,482 639,163 66,995 454,519 - 772,301
2008-09 151,725 6,298 626,712 67,378 435,459 - 806,013
2009-10 152,678 5,257 716,291 63,611 457,117 - 802,872
2010-11 159,894 4,815 700,801 66,524 443,333 - 823,665
2011-12 186,785 4,506 784,569 82,799 390,370 - 923,250
2012-13 169,178 4,319 901,828 98,586 412,654 - 887,349
2013-14 219,294 4,413 950,509 113,389 442,067 Implant (Pieces) 1,087,861
2014-15 365,032 9,066 2,239,158 209,775 2,211,988 6,283 2,670,133
2015-16 344,737 6,524 2,218,521 243,870 2,205,252 4,393 2,601,633
2016-17 340,812 6,009 2,928,467 240,394 3,156,804 2,729 2,852,786
2017-18 285,210 5,439 2,628,446 171,221 2,786,357 5,903 2,431,536
2018-19 (P) 316,089 4,587 2,888,012 192,566 2,550,942 7,335 2,553,259
Contd…

246
Programme, Punjab
Year
IUD
(No. of
cases)
Sterilization
(No. of cases
male/female)
Oral Pills
(No. of
cycles)
Condom
(In gross)
Injectable
(vials)
Foam
(bottles)
Couple year
of Protection
(CYP)
1991-92 462,997 36,147 292,356 163,846 397,372 3,007 -
1992-93 363,654 33,030 154,660 40,756 202,097 2,736 -
1993-94 266,844 39,198 244,794 47,650 300,291 40,895 -
1994-95 357,210 44,445 416,405 79,264 377,963 55,498 -
1995-96 345,987 46,711 497,152 76,901 374,429 13,445 -
1996-97 318,784 45,089 636,946 75,309 407,535 337 -
1997-98 464,161 52,951 746,898 95,138 546,292 - -
1998-99 603,346 68,944 1,023,433 135,317 714,728 - -
1999-00 559,556 77,577 1,065,448 162,027 679,719 - -
2000-01 505,955 66,190 1,370,707 193,520 512,517 - -
2001-02 659,455 75,432 930,506 149,724 559,610 - -
2002-03 685,222 72,094 829,974 129,767 590,236 - -
2003-04 558,320 86,033 806,209 128,377 543,668 - -
2004-05 462,311 90,711 699,573 112,807 492,206 - 3,009,862
2005-06 489,508 92,236 701,847 107,497 534,462 - 3,127,407
2006-07 587,937 104,470 1,049,896 165,002 629,555 - 3,724,560
2007-08 679,185 107,897 1,449,589 226,019 705,671 - 4,189,653
2008-09 659,179 97,777 1,391,853 222,681 705,266 - 3,985,863
2009-10 550,804 80,059 1,405,201 191,841 712,742 - 3,356,621
2010-11 463,347 79,626 1,446,485 206,437 642,741 - 2,895,870
2011-12 508,034 80,109 1,493,212 245,096 506,005 - 3,225,326
2012-13 476,805 66,542 1,533,147 268,878 481,899 - 2,968,060
2013-14 483,432 70,096 1,614,040 275,465 470,440 Implant (Pieces) 3,045,367
2014-15 1,038,799 134,841 9,112,198 1,,165,166 3,349,774 25,296 8,811,276
2015-16 1,074,524 111,987 9,119,580 1,223,006 3,002,234 30,639 8,799,267
2016-17 1,128,850 116,923 10,791,649 1,190,221 3,507,850 41,673 9,298,011
2017-18 1,152,811 116,841 8,384,932 1,214,344 2,888,154 43,347 9,207,573
2018-19 (P) 1,339,833 108,522 8,865,955 1,300,680 2,854,539 33,672 10,060,297
Contd…

247
Programme, Sindh
Year
IUD
(No. of
cases)
Sterilization
(No. of cases
male/female)
Oral Pills
(No. of
cycles)
Condom
(In gross)
Injectable
(vials)
Foam
(bottles)
Couple year
of Protection
(CYP)
1991-92 118,955 14,861 267,900 76,981 144,125 1,170 -
1992-93 85,216 15,845 140,947 13,288 78,091 1,146 -
1993-94 99,637 17,191 201,545 26,999 164,336 19,669 -
1994-95 167,677 18,016 221,132 37,075 187,896 25,420 -
1995-96 121,343 20,210 262,835 32,872 174,090 1,995 -
1996-97 117,605 20,644 268,095 34,055 209,426 - -
1997-98 166,370 20,317 333,670 42,118 305,773 - -
1998-99 206,741 21,559 399,956 47,095 349,547 - -
1999-00 173,298 25,936 428,736 55,184 363,742 - -
2000-01 135,975 26,077 514,530 67,746 259,830 - -
2001-02 119,524 22,044 382,851 50,302 237,352 - -
2002-03 120,120 32,349 362,405 48,912 242,415 - -
2003-04 121,401 32,625 406,786 58,482 248,273 - -
2004-05 112,342 37,762 432,566 62,494 243,740 - 1,005,302
2005-06 129,563 43,013 499,424 70,611 302,468 - 1,155,533
2006-07 175,419 42,912 602,928 84,844 413,412 - 1,358,088
2007-08 193,369 45,462 651,746 94,148 480,752 - 1,478,814
2008-09 181,391 45,300 616,985 91,322 481,131 - 1,429,800
2009-10 141,763 38,492 758,353 83,779 491,690 - 1,209,995
2010-11 129,140 23,983 788,688 92,915 491,977 - 1,070,892
2011-12 128,776 22,860 805,184 112,114 371,559 - 976,571
2012-13 88,045 18,008 691,497 117,148 342,839 Implant (Pieces) 765,073
2013-14 88,218 23,464 666,378 127,446 349,675 9,626 867,989
2014-15 267,155 62,950 2,125,110 315,225 1,124,822 22,551 2,627,741
2015-16 273,497 58,275 2,154,093 324,773 1,010,360 22,326 2,640,176
2016-17 254,692 40,067 4,194,746 367,655 2,093,911 43,795 2,881,597
2017-18 241,931 41,479 4,369,317 420,907 1,982,809 81,449 3,021,303
2018-19 (P) 232,156 43,179 4,564,789 442,101 2,067,112 36,799 2,936,332
Source:- i) Population Welfare Statistics Section ii) Pakistan Bureau of Statistics
(P) Provisional

248
REGIONAL COMPARISON
Table 1: Midyear Population
ADB Regional Member
Population (million) Population Growth Ratesa (%)
2000 2005 2010 2018 2000 2005 2010 2018
Developing ADB Member Economies
Central and West Asia 230.0 251.7 276.8 331.9 2.1 1.8 2.0 2.5
Afghanistanb 19.5 22.1 24.5 30.1 5.0 1.9 2.1 6.6
Armenia 3.2 3.1 3.0 3.0 * -0.3 -0.6 -0.7 -0.3*
Azerbaijan 8.1 8.5 9.1 9.9 1.0 1.2 1.2 0.9
Georgia 4.1 3.9 3.8 3.7 -1.9 -0.6 -0.7 -0.0
Kazakhstan 14.9 15.1 16.3 18.3 -0.3 0.9 1.4 1.3
Kyrgyz Republicb 4.9 5.1 5.4 6.3 1.4 1.2 1.3 1.9
Pakistan 140.0 156.0 173.5 212.8 2.4 2.2 2.1 2.4
Tajikistan 6.2 6.8 7.5 9.0 2.3 1.2 2.5 2.1
Turkmenistan 4.5 4.8 5.1 5.9 1.1 1.1 1.6 1.6
Uzbekistan 24.7 26.2 28.6 33.0 1.4 1.2 2.9 1.8
East Asia 1,345.7 1,387.8 1,423.4 1,481.2 0.8 0.6 0.5 0.4
China, People’s Republic ofb 1,267.4 1,307.6 1,340.9 1,395.4 0.8 0.6 0.5 0.4
Hong Kong, China 6.7 6.8 7.0 7.5 0.9 0.4 0.7 0.8
Korea, Republic of 47.0 48.2 49.6 51.6 0.8 0.2 0.5 0.4
Mongolia 2.4 2.5 2.7 3.2 1.3 1.1 1.8 1.9
Taipei,China 22.2 22.7 23.1 23.6 0.8 0.4 0.3 0.1
South Asia 1,189.6 1,290.5 1,382.6 1,548.6 1.6 1.5 1.4 1.2
Bangladesh 129.3 138.6 148.6 164.6 1.4 1.4 1.3 1.2
Bhutan 0.6 0.6 0.7 0.7 1.3 1.3 1.8 1.0
Indiab 1,019.0 1,106.0 1,186.0 1,332.0 1.8 1.5 1.4 1.2
Maldives 0.3 0.3 0.4 0.5 1.5 3.3 2.3 4.2
Nepal 21.0 25.3 26.3 29.1 3.0 2.3 1.4 1.4
Sri Lanka 19.4 19.6 20.7 21.7 1.3 0.9 1.0 1.1
Southeast Asia 512.3 547.8 588.0 648.9 1.4 1.3 1.9 1.1
Brunei Darussalam 0.3 0.4 0.4 0.4 2.5 1.8 1.8 3.0
Cambodia 12.5 13.3 14.1 15.6 1.3 1.3 1.3 1.3
Indonesia 206.3 219.9 237.6 265.0 1.2 1.3 2.7 1.3
Lao People’s Democratic Republic 5.1 5.6 6.0 6.8 2.0 2.0 1.5 1.4
Malaysia 23.5 26.0 28.6 32.4 2.5 2.1 1.8 1.1
Myanmarb 46.1 48.5 50.2 53.9 1.2 0.9 0.7 0.9
Philippines 76.8 84.7 93.1 106.6 2.3 1.9 2.3 1.6
Singapore 4.0 4.3 5.1 5.6 1.7 2.4 1.8 0.5
Thailand 60.7 63.2 65.9 67.8 0.8 0.8 0.8 0.3
Viet Nam 77.1 81.9 86.9 94.7 1.4 1.2 1.1 1.0
The Pacificc 8.0 9.2 10.4 12.8 4.5 2.7 2.8 2.6
Cook Islands 18.0 21.5 23.7 18.6 9.1 5.9 4.9 -4.6
Fiji 802.0 827.0 850.7 886.2 0.6 0.7 0.6 0.6
Kiribatib 84.5 92.5 103.1 113.0 1.7 1.8 2.2 -0.1
Marshall Islands 51.2 51.2 52.9 54.6 0.8 1.4 1.2 0.4
Micronesia, Federated States ofb 107.0 105.6 102.8 102.6(2017) 0.2 -0.3 -0.5 0.1 d
Nauru 10.1 9.5 9.7 11.4 1.0 -2.2 1.9 1.6
Niueb 1.9 1.6 (2006) 1.6 (2011) 1.7(2017) -3.7e ... ... 1.1 d
Palau 18.9 19.8 18.3 17.5 0.3 0.8 -1.9 -2.0
Papua New Guinea 5,190.8 6,051.7 7,055.4 9,018.9 3.3 3.1 3.1 3.1
Samoa 175.2 179.9 186.4 197.7 0.9 0.5 0.8 0.7
Solomon Islands 418.6 470.1 555.5 667.0 2.3 2.3 2.6 f 2.1
Timor-Leste 871.6 1,026.5 1,109.6 1,324.0 1.0 3.0 1.6 2.1
Tonga 99.1 101.2 102.8 99.6 0.4 0.4 0.2 -0.5
Tuvalu 9.5 10.3 11.1 11.6 1.3 3.1 0.5 1.2
Vanuatu 190.9 214.0 239.7 284.6 2.3 2.3 2.4 2.2
Developed ADB Member Economies 149.7 152.1 154.5 156.4 0.3 0.2 0.3 0.1
Australia 19.0 20.2 22.0 25.0 1.2 1.2 1.6 1.6
Japan 126.8 127.8 128.1 126.5 0.2 0.0 0.0 -0.2
New Zealand 3.9 4.1 4.4 4.9 0.6 1.1 1.1 1.9
DEVELOPING ADB MEMBER
ECONOMIESg 3,285.6 3,487.0 3,681.2 4,023.4 1.3 1.1 1.2 1.0
ALL ADB REGIONAL MEMBERSg 3,435.3 3,639.1 3,835.6 4,179.9 1.2 1.1 1.1 1.0
WORLD 6,143.5 6,541.9 6,956.8 7,631.1 1.3 1.2 1.2 1.1
0.0 = magnitude is less than half of unit employed, * = preliminary, ADB = Asian Development Bank.
a The annual population growth rate is calculated as the percentage change in population when comparing the reference year with the year prior. For example,
the population growth rates under the column heading “2018” refer to population growth from 2017 to 2018.
b Estimates of population size are as of 1 January for the Kyrgyz Republic; 11 March for Niue; 10 June for Afghanistan; 1 April for 2000, 4 April for 2010, and
30 September for 2005 and 2017 for the Federated States of Micronesia; 1 October for India and Myanmar; 7 November for Kiribati; and 31 December for
the People’s Republic of China.
c Estimates of population size for ADB developing member economies in the Pacific are expressed in thousands, while the total population for the Pacific region
is expressed in millions.
d Refers to 2017 annual population growth rate. e Refers to 2001 annual population growth rate. f Refers to 2011 annual population growth
rate. g For reporting economies only.
Sources: Economy sources; and United Nations. World Population Prospects 2019. https://population.un.org/wpp/Download/Standard/Population/
(accessed 22 July 2019).

249
Table 2: Migration and Urbanization
ADB Regional Member
Net International Migration Ratea
(per 1,000 population)
Urban Population
(% of total population)
2000–2005 2005–2010 2010–2015 2015–2020 2000 2005 2010 2018
Central and West Asia
Afghanistan 6.4 -7.6 3.3 -1.7 21.3 21.5 23.2 25.0
Armenia -10.6 -12.5 -2.1 -1.7 64.8 64.0 63.5 63.8
Azerbaijan 0.9 1.2 0.2 0.1 51.1 52.5 53.0 52.9
Georgia -6.9 -5.8 -4.7 -2.5 55.1 56.5 56.5 58.5
Kazakhstan 0.6 -0.4 1.9 -1.0 56.5 57.1 54.5 58.0
Kyrgyz Republic -6.9 -2.9 -3.3 -0.6 34.7 34.8 34.1 33.9
Pakistan -0.9 -0.4 -1.1 -1.1 33.0 34.6 36.3 36.4
Tajikistan -4.5 -4.1 -3.4 -2.2 26.6 26.4 26.4 27.1
Turkmenistan -5.4 -2.5 -1.9 -0.9 45.9 47.1 48.5 51.6
Uzbekistan -1.9 -1.0 -0.4 -0.3 37.2 36.1 51.3 50.6
East Asia
China, People’s Republic
of
-0.3 -0.3 -0.2 -0.2 36.2 43.0 50.0 59.6
Hong Kong, China 1.9 2.6 2.1 4.0 100.0 100.0 100.0 100.0
Korea, Republic of 0.3 -0.6 1.6 0.2 79.6 81.3 81.9 81.5
Mongolia -1.2 -0.8 -0.3 -0.3 56.6 61.9 69.2 67.9
Taipei,Chinab 1.8 2.2 1.5 1.3 55.8 57.7 59.3 62.5
South Asia
Bangladesh -2.2 -4.5 -3.0 -2.3 23.1 24.2 25.9 36.6
Bhutan 2.0 -3.3 0.1 0.4 21.0 30.9 34.8 40.9
India -0.3 -0.4 -0.4 -0.4 27.7 28.8 29.9 34.0
Maldives 11.6 10.5 28.4 22.8 27.7 33.8 36.4 39.8
Nepal -6.2 -7.4 -15.1 1.5 14.1 14.6 16.6 20.8
Sri Lanka -4.7 -5.2 -4.7 -4.6 18.4 18.3 18.2 18.5
Southeast Asia
Brunei Darussalam 0.2 -1.2 -0.4 – 71.2 73.2 75.0 77.6
Cambodia -0.6 -4.3 -2.0 -1.9 18.6 19.2 20.3 23.4
Indonesia -1.1 -1.1 -0.4 -0.4 42.0 45.9 49.9 50.2
Lao People’s Democratic
Republic
-5.3 -3.7 -3.5 -2.1 22.0 27.2 30.1 35.0
Malaysia 5.5 5.7 1.7 1.6 62.0 66.5 71.0 75.6
Myanmar -5.1 -5.4 -2.0 -3.1 27.0 27.9 28.9 30.0
Philippines -3.0 -3.4 -1.7 -0.6 46.1 45.7 45.3 46.9
Singapore 4.5 30.7 11.8 4.7 100.0 100.0 100.0 100.0
Thailand 1.2 0.2 0.5 0.3 31.1 32.5 43.4 50.1
Viet Nam -1.6 -1.9 -0.9 -0.8 24.2 27.1 30.5 35.7
The Pacific
Cook Islands ... ... ... ... 65.2 71.0 73.3 75.1
Fiji -14.4 -5.6 -12.0 -7.0 47.9 49.9 52.2 56.9
Kiribati -4.4 -0.6 -7.7 -6.9 43.0 43.6 47.4 54.1
Marshall Islands ... ... ... ... 68.6 71.1 73.6 77.0
Micronesia, Federated
States of
-23.0 -23.5 -5.7 -5.4 22.3 22.3 22.3 22.6 (2017)
Nauru ... ... ... ... 100.0 100.0 100.0 100.0
Niue ... ... ... ... 33.1 35.2 38.7 44.8
Palau ... ... ... ... 69.5 77.4 77.0 78.7 (2015)
Papua New Guinea -2.7 1.1 -0.1 -0.1 13.2 13.1 13.0 13.2
Samoa -17.7 -16.5 -12.8 -14.3 20.0 22.1 21.0 19.0
Solomon Islands -3.8 -5.7 -2.8 -2.5 15.8 17.8 20.0 23.7
Timor-Leste -5.9 -7.3 -4.9 -4.3 24.3 26.0 27.7 30.6
Tonga -15.8 -15.2 -25.4 -7.7 23.0 23.2 23.4 22.8
Tuvalu ... ... ... ... 46.0 49.7 54.8 62.4
Vanuatu -2.6 -2.9 1.4 0.4 21.8 23.2 24.4 25.0
Developed ADB Member Economies
Australia 6.0 11.4 8.6 6.4 84.1 (2001) 84.6 85.7 86.8
Japan 0.3 0.4 0.6 0.6 78.6 86.0 90.8 91.6
New Zealand 6.7 2.9 4.0 3.2 83.5 83.8 83.7 84.1
= data not available, – = magnitude equals zero, ADB = Asian Development Bank.
a Refers to annual average. The United Nations’ population estimates and projections are based on all available sources of data on population size, and levels of fertility,
mortality, and international migration. Statistics on international migration are sourced from population registers and other administrative sources. These estimates and
projections are made for 235 distinct national economies or areas comprising the total population of the world.
b For urban population, refers to localities of 100,000 or more inhabitants.
Sources: Economy sources; United Nations. World Urbanization Prospects: The 2018 Revision – Data Query. https://esa.un.org/unpd/wup/DataQuery/ (accessed 20
July 2019); and United Nations. World Population Prospects 2019. https://population.un.org/wpp/Download/Standard/Migration/ (accessed 20 July 2019).

250
Table 3: Agriculture Land Use (% of total land area)
ADB Regional Member
Agricultural Land Arable Land Permanent Cropland
2000 2005 2010 2016 2000 2005 2010 2016 2000 2005 2010 2016
Afghanistan 57.8 58.1 58.1 58.1 11.8 12.0 11.9 11.8 0.1 0.2 0.2 0.3
Armenia 46.5 56.4 60.9 58.9 15.8 16.0 15.8 15.7 1.3 1.8 1.9 2.0
Azerbaijan 57.4 57.6 57.7 57.7 22.1 22.3 22.8 24.2 2.9 2.7 2.8 2.9
Georgia 43.2 36.3 35.4 34.5 11.4 6.8 5.7 5.0 3.9 1.6 1.8 1.6
Kazakhstan 79.8 78.6 80.4 80.4 11.2 10.6 10.6 10.9 0.1 0.0 0.0 0.0
Kyrgyz Republic 55.9 56.0 55.3 55.0 7.1 6.7 6.7 6.7 0.3 0.4 0.4 0.4
Pakistan 47.6 46.7 45.7 47.8 40.3 39.1 38.1 40.3 0.9 1.0 1.1 1.0
Tajikistan 32.7 33.4 34.0 34.1 5.6 5.4 5.3 5.3 0.7 0.8 1.0 1.0
Turkmenistan 75.5 74.2 72.4 72.0 4.1 4.3 4.1 4.1 0.1 0.1 0.1 0.1
Uzbekistan 64.2 62.9 62.7 62.9 10.5 10.3 10.2 10.3 0.8 0.8 0.8 0.9
East Asia
China, People’s Republic
of
55.6 55.1 54.8 56.2 12.6 12.0 11.4 12.7 1.2 1.3 1.5 1.7
Hong Kong, China 6.7 6.7 5.2 4.8 4.8 4.8 3.3 2.9 1.0 1.0 1.0 1.0
Korea, Republic of 20.5 19.4 18.2 17.4 17.8 17.0 15.5 14.6 2.1 1.9 2.1 2.3
Mongolia 84.0 73.0 73.1 71.5 0.8 0.4 0.4 0.4 0.0 0.0 0.0 0.0
Taipei,China 24.0 23.5 23.0 22.4 17.5 17.0 16.9 16.6 6.5 6.5 6.1 5.8
South Asia
Bangladesh 72.2 71.5 71.0 70.6 64.1 60.8 59.9 59.6 3.5 6.1 6.5 6.4
Bhutan 13.3 15.6 13.6 13.6 2.7 4.4 2.6 2.6 0.5 0.5 0.3 0.2
India 60.9 60.6 60.4 60.4 54.1 53.6 52.8 52.6 3.1 3.4 4.1 4.4
Maldives 30.0 30.0 26.3 26.3 10.0 10.0 13.0 13.0 16.7 16.7 10.0 10.0
Nepal 29.6 29.3 28.8 28.7 16.4 15.9 15.2 14.7 0.8 0.9 1.1 1.5
Sri Lanka 37.5 40.0 41.8 43.7 14.6 17.5 19.1 20.7 15.9 15.5 15.6 15.9
Southeast Asia
Brunei Darussalam 1.9 2.1 2.5 2.7 0.4 0.4 0.8 0.9 0.8 0.9 1.1 1.1
Cambodia 27.0 30.3 30.9 30.9 21.0 21.0 21.5 21.5 0.8 0.9 0.9 0.9
Indonesia 26.0 28.6 30.7 31.5 11.3 12.7 13.0 13.0 8.6 9.9 11.6 12.4
Republic
7.8 8.6 9.6 10.3 4.0 5.0 6.1 6.6 0.4 0.4 0.6 0.7
Malaysia 21.1 21.7 22.5 26.3 2.6 2.9 2.6 2.7 17.6 18.0 19.0 22.7
Myanmar 16.5 17.2 19.2 19.5 15.2 15.4 16.5 16.7 0.9 1.4 2.2 2.4
Philippines 37.7 38.1 40.6 41.7 16.9 16.8 17.8 18.7 15.8 16.3 17.8 17.9
Singapore 1.8 1.1 1.1 0.9 1.5 1.0 0.9 0.8 0.3 0.1 0.1 0.1
Thailand 38.8 38.4 41.2 43.3 30.6 29.8 30.8 32.9 6.6 7.1 8.8 8.8
Viet Nam 28.2 32.4 34.7 39.3 19.9 20.5 20.8 22.6 6.2 9.8 11.9 14.6
The Pacific
Cook Islands 20.0 11.4 5.6 6.3 7.5 5.2 2.9 4.2 12.5 6.2 2.7 2.1
Fiji 23.4 23.4 23.3 23.3 9.3 9.3 9.0 9.0 4.5 4.5 4.7 4.7
Kiribati 42.0 42.0 42.0 42.0 2.5 2.5 2.5 2.5 39.5 39.5 39.5 39.5
Marshall Islands 66.7 72.2 72.2 63.9 5.6 11.1 11.1 11.1 44.4 44.4 44.4 36.1
States of
32.1 32.1 31.4 31.4 3.6 3.6 2.9 2.9 24.3 24.3 24.3 24.3
Nauru 20.0 20.0 20.0 20.0 – – – – 20.0 20.0 20.0 20.0
Niue 18.5 18.5 19.2 19.2 3.8 3.8 3.8 3.8 10.8 10.8 11.5 11.5
Palau 10.9 10.9 10.9 10.9 2.2 2.2 2.2 2.2 4.3 4.3 4.3 4.3
Papua New Guinea 2.2 2.3 2.6 2.6 0.5 0.5 0.7 0.7 1.4 1.3 1.5 1.5
Samoa 17.0 14.8 12.4 12.4 4.9 3.9 2.8 2.8 11.0 9.5 7.8 7.8
Solomon Islands 2.7 3.2 3.8 3.9 0.5 0.6 0.7 0.7 2.0 2.3 2.9 2.9
Timor-Leste 22.7 25.9 25.0 25.6 8.1 11.4 10.1 10.4 4.5 4.4 4.8 5.0
Tonga 41.7 41.7 44.4 45.8 20.8 20.8 23.6 25.0 15.3 15.3 15.3 15.3
Tuvalu 66.7 56.7 60.0 60.0 – – – – 66.7 56.7 60.0 60.0
Vanuatu 14.4 15.0 15.3 15.3 1.6 1.6 1.6 1.6 9.3 9.9 10.3 10.3
Australia 59.3 57.9 51.9 48.2 6.2 6.4 5.5 6.0 0.0 0.0 0.1 0.0
Japan 14.4 12.9 12.6 12.3 12.3 12.0 11.7 11.5 1.0 0.9 0.9 0.8
New Zealand 58.5 44.5 43.3 40.5 5.7 1.6 1.9 2.2 0.2 0.2 0.3 0.3
– = magnitude equals zero, 0.0 = magnitude is less than half of unit employed, ADB = Asian Development Bank.
Source: Food and Agriculture Organization of the United Nations. FAOSTAT Database. http://www.fao.org/faostat/en/#data/RL (accessed 21 May 2019).

251
Table 4: Deforestation and Pollution
ADB Regional Member
Deforestation Ratea
(average % change)
Carbon Dioxide Emissionsb
(t ‘000)
Nitrous Oxide Emissions
(t ‘000 CO2 equivalent)
2000 2016 2000 2014 2000 2012
Afghanistan – – 774 9,809 3,317 3,424
Armenia 0.06 -0.06 3,465 5,530 462 1,023
Azerbaijan -0.23 -2.30 29,508 37,488 2,030 2,673
Georgia -0.03 – 4,536 8,988 2,437 2,352
Kazakhstan 0.17 – 118,099 248,315 14,865 17,822
Kyrgyz Republic -0.26 1.26 4,635 9,608 1,452 1,567
Pakistan 1.91 2.92 106,449 166,298 26,350 30,651
Tajikistan -0.05 -0.10 2,237 5,189 1,110 1,848
Turkmenistan – – 37,539 68,423 3,046 4,924
Uzbekistan -0.52 0.35 121,829 105,214 9,610 13,192
East Asia
China, People’s
Republic of
-1.13 -0.74 3,405,180 10,291,927 414,138 587,166
Hong Kong, China ... ... 40,440 46,223 513 476
Korea, Republic of 0.13 0.12 447,561 587,156 18,576 14,979
Mongolia 0.69 0.77 7,506 20,840 5,058 3,548
Taipei,China – – (2017) 230,022 (2001) 271,013 (2015) 3,845 (2001) 4,506 (2015)
South Asia
Bangladesh 0.18 0.18 27,869 73,190 20,770 26,683
Bhutan -0.38 -0.36 396 1,001 281 555
India -0.22 -0.25 1,031,853 2,238,377 207,700 239,755
Maldives – – 451 1,335 12 27
Nepal 2.30 – 3,069 8,031 4,232 4,598
Sri Lanka 0.42 0.32 10,238 18,394 2,044 2,174
Southeast Asia
Brunei Darussalam 0.40 – 4,712 9,109 395 342
Cambodia 1.20 1.35 1,977 6,685 3,295 16,685
Indonesia 1.89 0.75 263,419 464,176 94,933 93,139
Lao People’s
Democratic Republic
0.67 -1.01 939 1,955 3,265 8,987
Malaysia 0.36 -0.06 125,734 242,821 13,822 15,310
Myanmar 1.23 1.88 10,088 21,632 31,300 26,783
Philippines -0.68 -2.99 73,307 105,654 12,365 12,762
Singapore – – 49,006 56,373 6,635 1,909
Thailand -1.80 -0.18 181,271 316,213 18,677 30,833
Viet Nam -2.06 -0.87 53,645 166,911 19,746 34,494
The Pacific
Cook Islands -0.47 – ... ... ... ...
Fiji -0.28 -0.48 843 1,170 343 344
Kiribati – – 29 62 3 4
Marshall Islands – – 77 103 0 0
States of
-0.05 -0.05 125 150 11 11
Nauru ... ... 84 48 0 0
Niue ... ... ... ... ... ...
Palau -0.38 – 249 260 0 0
Papua New Guinea 0.01 0.01 2,666 6,318 1,613 1,234
Samoa -2.46 – 143 198 37 40
Solomon Islands 0.25 0.26 150 202 2,425 2,656
Timor-Leste 1.29 1.63 – 469 164 226
Tonga – – 95 121 22 22
Tuvalu – – 7 11 1 1
Vanuatu – – 84 154 118 109
Australia -0.02 -0.25 329,443 361,262 75,581 54,247
Japan 0.03 0.01 1,220,528 1,214,048 30,411 24,911
New Zealand -0.48 -0.00 32,981 34,664 11,549 11,880
Contd..

252
Table 4: Deforestation and Pollution
ADB Regional Member
Methane Emissions
Other Greenhouse Gasesc
2000 2012 2000 2012
Afghanistan 9,384 13,763 126 349
Armenia 2,565 3,426 112 710
Azerbaijan 9,955 19,955 464 1,142
Georgia 4,137 5,019 3 227
Kazakhstan 38,779 71,350 14,065 30,363
Kyrgyz Republic 3,486 4,291 93 68
Pakistan 117,125 158,337 757 1,159
Tajikistan 3,304 5,408 798 367
Turkmenistan 21,241 22,009 124 595
Uzbekistan 37,233 47,333 298 989
East Asia
China, People’s Republic of 1,043,400 1,752,290 104,677 251,254
Hong Kong, China 2,695 3,147 155 150
Korea, Republic of 30,916 32,625 14,934 8,968
Mongolia 9,218 6,257 26,233 2,216 (2010)
Taipei,China 12,215 (2001) 5,449 (2015) 6,304 (2001) 3,052 (2015)
South Asia
Bangladesh 89,247 105,142 686 1,329
Bhutan 1,032 1,770 644 488
India 561,733 636,396 56,626 153,658
Maldives 34 52 ... ...
Nepal 21,206 23,982 2,443 7,995
Sri Lanka 9,606 11,864 441 91
Southeast Asia
Brunei Darussalam 3,882 4,539 101 427
Cambodia 14,985 35,915 23,021 73,300
Indonesia 170,032 223,316 63,048 2,556
Lao People’s Democratic Republic 7,219 15,011 13,588 136,841
Malaysia 29,309 34,271 5,144 3,866
Myanmar 66,942 80,637 78,176 406,274
Philippines 49,911 57,170 12,487 3,891
Singapore 1,684 2,386 1,889 (2001) 3,299
Thailand 83,564 106,499 8,756 45,556
Viet Nam 75,430 113,564 5,782 25,707
The Pacific
Cook Islands ... ... ... ...
Fiji 705 715 9 52
Kiribati 13 16 – –
Marshall Islands 6 8 ... ...
Micronesia, Federated States of 28 30 ... ...
Nauru 3 3 ... ...
Niue ... ... ... ...
Palau 1 1 ... ...
Papua New Guinea 2,001 2,143 1,949 2,188
Samoa 116 133 -0 0
Solomon Islands 1,394 1,449 0 0
Timor-Leste 450 732 – -0
Tonga 58 61 -0 ...
Tuvalu 3 3 -0 0
Vanuatu 267 254 0 -0
Australia 128,133 125,588 520,911 174,653
Japan 47,496 38,957 51,527 71,746
New Zealand 26,584 28,658 1,506 1,764
... = data not available, − = magnitude equals zero, -0 or 0 = magnitude is less than half of unit employed, ADB = Asian Development Bank, CO2 = carbon
dioxide, t = metric ton.
a Rate refers to percentage change over previous year. A negative value indicates that the deforestation rate is decreasing (i.e., reforestation).
b Data from the World Bank are expressed in kilotons, while data provided in the table are expressed in thousands of metric tons, using a conversion factor of
1 kiloton = 1,000 metric tons.
c Other greenhouse gas emissions refer to hydrofluorocarbons, perfluorocarbons, and sulphur hexafluoride.
Sources: Food and Agriculture Organization of the United Nations. FAOSTAT Database. http://www.fao.org/faostat/en/#data/RL (accessed 25 July 2019);
and World Bank. World Development Indicators Online. http://data.worldbank.org/indicator (accessed 25 July 2019). For Taipei,China: Government of
Taipei,China, Directorate- General of Budget, Accounting and Statistics. Statistical Yearbook 2017.
https://eng.dgbas.gov.tw/public/data/dgbas03/bs2/yearbook_eng/Yearbook2017.pdf (accessed 22 May 2019).

253
Table 5: Freshwater Resources
ADB Regional Member
Internal Renewable Freshwater Resources Annual Freshwater
Withdrawals
(m3 billion)
Water Productivitya
(constant 2010 $ per
m3)
(m3 billion per year)
2017
(m3 inhabitant per year)
2017
Central and West Asia 370 1,155
Afghanistan 47 1,327 20 (2000) ...
Armenia 7 2,341 3 (2017) 3.5 (2015)
Azerbaijan 8 826 13 (2017) 4.4 (2012)
Georgia 58 14,859 2 (2008) 6.2 (2008)
Kazakhstan 64 3,535 21 (2016) 7.4 (2010)
Kyrgyz Republic 49 8,094 8 (2006) 0.5 (2006)
Pakistan 55 279 184 (2008) 0.9 (2008)
Tajikistan 63 7,114 11 (2006) 0.4 (2006)
Turkmenistan 1 244 28 (2004) 0.4 (2004)
Uzbekistan 16 512 53 (2016) 0.5 (2005)
East Asiac 2,913 1,948
China, People’s Republic of 2,813 1,952 594 (2015) 15.0 (2015)
Hong Kong, China ... ... ... ...
Korea, Republic of 65 1,272 29 (2005) 30.8 (2005)
Mongolia 35 11,313 0 (2016) 12.3 (2009)
Taipei,China ... ... ... ...
South Asia 1,880 1,209
Bangladesh 105 638 36 (2008) 2.9 (2008)
Bhutan 78 96,582 0 (2008) 3.9 (2008)
India 1,446 1,080 648 (2010) 2.6 (2010)
Maldives 0 69 ... ...
Nepal 198 6,763 9 (2006) 1.4 (2006)
Sri Lanka 53 2,529 13 (2005) 3.2 (2005)
Southeast Asia 4,985 7,699
Brunei Darussalam 9 19,827 ... ...
Cambodia 121 7,535 2 (2006) 4.1 (2006)
Indonesia 2,019 7,648 223 (2016) 4.0 (2000)
Lao People’s Democratic Republic 190 27,763 3 (2005) 1.4 (2005)
Malaysia 580 18,341 11 (2005) 18.3 (2005)
Myanmar 1,003 18,793 33 (2000) 0.5 (2000)
Philippines 479 4,565 85 (2016) 2.3 (2009)
Singapore 1 105 ... ...
Thailand 225 3,252 57 (2007) 5.5 (2007)
Viet Nam 359 3,762 82 (2005) 1.0 (2005)
The Pacificc 892 78,701
Cook Islands ... ... ... ...
Fiji 29 31,530 0 (2005) 35.7 (2005)
Kiribati ... ... ... ...
Marshall Islands ... ... ... ...
Micronesia, Federated States of ... ... ... ...
Nauru ... ... ... ...
Niue ... ... ... ...
Palau ... ... ... ...
Papua New Guinea 801 97,079 0 (2005) 27.3 (2005)
Samoa ... ... ... ...
Solomon Islands 45 73,123 ... ...
Timor-Leste 8 6,339 1 (2004) 1.6 (2004)
Tonga ... ... ... ...
Tuvalu ... ... ... ...
Vanuatu 10 36,206 ... ...
Developed ADB Member
Economies
1,249 7,974
Australia 492 20,123 16 (2016) 78.4 (2015)
Japan 430 3,373 81 (2009) 67.4 (2009)
New Zealand 327 69,486 5 (2010) 28.2 (2010)
ECONOMIESc
11,040 2,740
ALL ADB REGIONAL MEMBERSc 12,289 2,936
... = data not available, 0 = magnitude is less than half of unit employed, $ = United States dollars, ADB = Asian Development Bank, m3 = cubic meter.
a Gross domestic product in constant 2010 United States dollars per cubic meter of total freshwater withdrawal.
b Regional aggregates are weighted averages estimated using population.
c For reporting economies only.
Sources: Food and Agriculture Organization of the United Nations. AQUASTAT Database. http://www.fao.org/nr/water/aquastat/data/query/index.html
(accessed 25 July 2019); and World Bank. World Development Indicators Online. http://data.worldbank.org/indicator (accessed 25 July 2019).

254
Table 6: Energy Production and Imports
ADB Regional Member
Energy Production (PJ) Energy Imports, Net (% of energy use)
2000 2005 2010 2016 2000 2005 2010 2016
Afghanistan 18 23 41 70 28.0 36.1 70.1 51.0
Armenia 27 36 52 44 67.9 65.7 56.3 66.4
Azerbaijan 803 1,155 2,759 2,427 -65.6 -101.6 -467.7 -305.9
Georgia 55 53 58 60 54.2 60.7 58.6 70.6
Kazakhstan 3,367 5,131 6,770 6,737 -115.8 -118.2 -101.3 -102.0
Kyrgyz Republic 60 61 53 77 40.6 46.5 53.9 52.5
Pakistan 1,403 2,020 2,253 2,438 32.6 23.5 27.2 32.2
Tajikistan 103 115 115 136 27.0 22.3 19.6 18.1
Turkmenistan 1,928 2,584 1,982 3,230 -208.5 -221.0 -108.4 -178.9
Uzbekistan 2,307 2,446 2,309 2,134 -8.3 -19.3 -27.6 -35.6
East Asia
China, People’s Republic of 40,783 63,831 88,642 94,591 4.0 7.3 12.8 20.2
Hong Kong, China ... ... ... ... ... ... ... ...
Korea, Republic of 1,420 1,776 1,855 2,117 81.9 79.7 82.2 82.0
Mongolia 66 138 655 959 24.1 -32.7 -299.4 -226.2
Taipei,China ... ... ... ... ... ... ... ...
South Asia
Bangladesh 857 1,027 1,304 1,597 14.1 13.8 12.7 14.3
Bhutan 46 53 73 79 -4.5 -10.4 -28.1 -19.7
India 15,763 18,212 22,888 23,301 20.4 19.8 21.6 36.8
Maldives – – – – 100.0 100.0 100.0 100.0
Nepal 310 349 384 422 11.2 10.1 13.9 21.3
Sri Lanka 156 163 184 169 47.3 49.7 48.9 63.8
Southeast Asia
Brunei Darussalam 813 848 775 633 -1,013.7 -1,015.8 -469.9 -410.5
Cambodia 114 105 152 191 19.7 27.1 31.8 39.7
Indonesia 8,129 11,351 16,854 18,885 -63.6 -60.2 -102.5 -88.5
Republic
57 64 98 267 1.7 5.9 2.0 -9.4
Malaysia 3,082 3,770 3,450 3,787 -57.3 -37.3 -16.4 -7.4
Myanmar 648 927 969 1,175 -20.4 -49.8 -46.2 -40.6
Philippines 695 762 924 1,106 55.2 48.1 43.3 48.0
Singapore ... ... 25 28 ... ... 97.7 96.9
Thailand 1,700 2,144 2,952 3,283 44.7 47.3 40.3 43.3
Viet Nam 1,733 2,612 2,747 2,880 -37.3 -48.7 -18.5 4.2
The Pacific
Cook Islands ... ... ... – ... ... ... 100.0
Fiji 10 9 5 6 54.5 62.5 76.2 81.8
Kiribati – – 1 1 100.0 100.0 – –
Marshall Islands – – – – 100.0 100.0 100.0 100.0
Micronesia, Federated States
of
– – – – 100.0 100.0 100.0 100.0
Nauru ... – (2006) – – ... 100.0
(2006)
100.0 100.0
Niue – – – – ... ... ... ...
Palau ... ... ... ... ... ... ... ...
Papua New Guinea 220 174 95 376 -122.2 -38.1 32.6 -104.3
Samoa 1 1 1 1 66.7 66.7 75.0 80.0
Solomon Islands 3 3 3 3 40.0 50.0 50.0 50.0
Timor-Leste 2 (2002) 201 186 121 50.0 (2002) -4,925.0 -4,550.0 -1,412.5
Tonga – – – – 100.0 100.0 100.0 100.0
Tuvalu ... ... ... ... ... ... ... ...
Vanuatu 1 1 1 1 50.0 50.0 66.7 66.7
Developed ADB Member
Economies
14,738 16,282 18,586 18,561
Australia 9,731 11,451 13,606 16,322 -114.3 -140.5 -151.2 -199.4
Japan 4,379 4,260 4,211 1,481 79.8 80.5 79.9 91.7
New Zealand 628 571 769 758 15.9 23.5 7.6 20.1
ECONOMIESa
86,680 122,145 161,615 173,332
ALL ADB REGIONAL
MEMBERSa
101,418 138,427 180,201 191,893
WORLD 412,155 476,738 530,597 568,988
... = data not available, - = magnitude equals zero, ADB = Asian Development Bank, PJ = petajoule.
a Includes only reporting economies with data corresponding to the year heading.
Sources: For Energy Production: United Nations Statistics Division. Official communication, 25 July 2019. For Net Energy Imports: Asian Development
Bank estimates.

255
Table 7: Use of Energy
ADB Regional
Member
Energy Use (PJ) GDP per Unit Use of Energy (constant 2011 $ million PPP per
PJ)
2000 2005 2010 2016 2000 2005 2010 2016
Afghanistan 32(2002) 36 137 143 717.7 (2002) 783.2 356.1 434.7
Armenia 84 105 119 131 106.9 152.1 162.1 182.9
Azerbaijan 485 573 486 598 76.4 119.8 302.1 263.2
Georgia 120 135 140 204 119.8 151.6 188.8 169.1
Kazakhstan 1,560 2,352 3,363 3,335 94.9 103.1 97.5 125.1
Kyrgyz Republic 101 114 115 162 100.6 107.3 132.2 124.0
Pakistan 2,082 2,642 3,094 3,597 232.5 233.8 236.1 260.9
Tajikistan 141 148 143 166 52.3 78.9 112.6 145.3
Turkmenistan 625 805 951 1,158 38.5 38.4 53.2 76.5
Uzbekistan 2,130 2,050 1,809 1,574 29.2 39.3 67.0 119.0
East Asia
China, People’s
Republic of
42,461 68,833 101,618 118,484 109.7 108.0 125.0 167.2
Hong Kong, China 570 579 544 590 397.8 481.5 621.2 676.7
Korea, Republic of 7,854 8,764 10,441 11,762 124.2 140.3 144.1 152.6
Mongolia 87 104 164 294 128.3 146.9 127.5 116.9
Taipei,China ... ... ... ... ... ... ... ...
South Asia
Bangladesh 998 1,191 1,493 1,864 216.5 232.4 248.9 290.2
Bhutan 44 48 57 66 46.1 61.9 82.0 99.8
India 19,808 22,706 29,193 36,886 144.6 172.4 188.2 220.7
Maldives 6 9 13 21 456.5 328.5 336.6 294.8
Nepal 349 388 446 536 104.7 111.3 120.3 124.5
Sri Lanka 296 324 360 467 351.6 390.3 478.6 519.7
Southeast Asia
Brunei Darussalam 73 76 136 124 374.6 398.6 230.2 245.0
Cambodia 142 144 223 317 118.5 181.5 161.9 172.4
Indonesia 4,970 7,087 8,322 10,021 247.1 218.3 245.8 280.5
Lao People’s
Democratic Republic
58 68 100 244 228.3 263.6 263.5 168.2
Malaysia 1,959 2,745 2,965 3,527 193.0 173.7 200.1 227.1
Myanmar 538 619 663 836 111.9 178.2 281.5 335.6
Philippines 1,551 1,469 1,631 2,126 212.4 280.7 321.6 351.5
Singapore 756 805 1,109 910 279.0 331.9 334.5 521.9
Thailand 3,075 4,067 4,945 5,794 188.1 185.4 183.3 187.0
Viet Nam 1,262 1,756 2,319 3,006 163.0 163.5 168.2 183.7
The Pacific
Cook Islands 1 1 1 1 ... ... ... ...
Fiji 22 24 21 33 246.1 254.3 301.1 237.1
Kiribati 1 1 1 1 167.9 180.8 180.3 230.4
Marshall Islands 2 2 2 2 75.5 84.2 91.2 99.0
Micronesia,
Federated States of
2 2 2 2 167.5 172.8 170.8 172.0
Nauru 1 1 1 1 ... ... 66.1 169.0
Niue – – – – ... ... ... ...
Palau 3 3 3 3 78.6 92.4 81.6 101.4
Papua New Guinea 99 126 141 184 154.5 135.1 160.9 175.2
Samoa 3 3 4 5 251.8 320.0 251.4 230.9
Solomon Islands 5 6 6 6 149.9 131.6 164.6 217.7
Timor-Leste ... 4 4 8 ... 1,617.3 2,461.9 1,153.1
Tonga 1 2 2 2 451.3 249.9 259.5 285.3
Tuvalu – – – – ... ... ... ...
Vanuatu 2 2 3 3 261.2 273.2 232.2 257.5
Developed ADB
Member Economies
26,942 27,355 27,187 24,245 188.7 200.4 207.2 251.0
Australia 4,540 4,762 5,417 5,451 149.3 166.9 168.9 198.0
Japan 21,655 21,847 20,938 17,845 198.4 208.5 218.7 271.2
New Zealand 747 746 832 949 145.1 176.9 168.6 176.6
DEVELOPING ADB
MEMBER ECONOMIESa
94,359 130,919 177,290 209,194 137.7 140.7 154.1 190.9
ALL ADB REGIONAL
MEMBERSa
121,301 158,274 204,477 233,439 149.0 151.0 161.2 197.1
WORLD 404,363 463,300 517,492 551,579 157.2 165.2 176.9 204.0
... = data not available, – = magnitude equals zero, $ = United States dollars, ADB = Asian Development Bank, GDP = gross domestic product, PJ = petajoule,
PPP = purchasing power parity.
a Includes only reporting economies with data corresponding to the year heading.
Sources: For Energy Use: United Nations Statistics Division. Official communication, 25 July 2019. For GDP per Unit Use of Energy: Asian Development
Bank estimate

256
Appendix-I
CONCEPTS AND DEFINITIONS
Environment
The totality of all the external conditions affecting the life, development and survival of an
organism is called Environment.
Environment Statistics
Statistics that describe the state and trends of the environment, covering the media of the natural
environment (air/climate, water, land/soil), the biota within the media, and human settlements is termed
as Environment Statistics. This statistics is integrative in nature, measuring human activities and natural
events that affect the environment, the impacts of these activities and events, social responses to
environmental impacts, and the quality and availability of natural assets. Broad definitions include
environmental indicators, indices and accounting.
Environmental Condition
It is the modification of the environment of one or more organisms by their activities, including
reaction and co-action (liberation of oxygen, for example by water plants in an aquarium).
Environmental Degradation
The deterioration in environmental quality from ambient concentrations of pollutants and other
activities and processes such as improper land use and natural disasters is known as Environmental
degradation.
Environmental Effects
These are the results of environmental impacts on human health and welfare. The term is also
used synonymously with environmental impact.
Environmental Functions
Environmental services, including spatial functions, waste disposal, natural resource supply and life
support are called Environment Functions.
Environmental Impacts
Direct effect of socio-economic activities and natural events on the components of the environment are called Environmental
Impacts.
Environmental Protection
Any activity to maintain or restore the quality of environmental media through preventing the
emission of pollutants or reducing the presence of polluting substances in environmental media is called
Environmental Protection. It may consist of: (a) changes in characteristics of goods and services, (b)
changes in consumption patterns, (c) changes in production techniques, (d) treatment or disposal of
residuals in separate environmental protection facilities, (e) recycling and (f) prevention of degradation of
the landscape and ecosystems.
Agricultural Land
Agriculture land is the land, which include arable land, land under permanent crops and land
under permanent meadows and pastures.
Air Pollutants
Substances in air that could, at high enough concentrations, harm human beings, animals,
vegetation or material. Air pollutants may thus include forms of matter of almost any natural or artificial

257
composition capable of being airborne. They may consist of solid particles, liquid droplets or gases, or
combinations of these forms.
Air Pollution
The presence of contaminant or pollutant substances in the air that do not disperse properly and
that interfere with human health or welfare or produce other harmful environmental effects is called air
pollution.
Alkalinity
The alkalinity is the capacity of aqueous media to react with hydroxyl ions. Alkalinity is the
factor representing the acid-neutralizing capacity of an aqueous system.
Arid Zone
Arid Zone is defined as the area with less than 250 millimetre (mm) of yearly rainfall. The term
may include a reference to bioclimatic factors.
Atmosphere
The mass of air surrounding the earth, composed largely of oxygen and nitrogen is called
atmosphere.
Bacteria
The single-celled micro-organisms is called bacteria. Some bacteria are useful in pollution
control because they break down the organic matter in water and land. Other bacteria may cause
disease.
Biochemical Oxygen Demand (BOD)
The dissolved oxygen required by organisms for the aerobic decomposition of organic matter
present in water is termed as Biochemical Oxygen Demand (BOD).
Biodiversity
The range of genetic differences, species differences and ecosystem differences in a given
area is called biodiversity.
Biogas
The mixture of methane and carbon dioxide is called biogas. The ratio of methane and carbon
dioxide in the mixture is 7:3. This mixture is produced by the treatment of animal dung, industrial wastes
and crop residues. It is used as an alternative source of energy.
Biomass
Biomass is defined as the total living weight (generally in dry weight) of all organisms in a
particular area or habitat. It is sometimes expressed as weight per unit area of land or per unit volume
of water.
Brackish Water
The water which contains salts at a concentration significantly lower than that of sea water is
known as brackish water. The concentration of total dissolved salts is usually in the range of 1,000-10,000
milligrams per liter (mg/l).
Carbon Dioxide (CO2)
It is colour less, odorless and non-poisonous gas that results from fossil fuel combustion and is
normally a part of ambient air. It is also produce in the respiration of living organisms (plants and
animals) and considered to be the main greenhouse gas, contributing to climate change.

258
Carbon Monoxide (CO)
It is colourless, odorless and poisonous gas produced by incomplete fossil fuel combustion.
Carbon monoxide combines with the haemoglobin of human beings, reducing its oxygen carrying
capacity, with effects harmful to human beings.
Catchment Area
The area from which rainwater drains into river systems, lakes and seas is known as
Catchment Area.
Chemical Oxygen Demand (COD)
The index of water pollution measuring the mass concentration of oxygen consumed by the
chemical breakdown of organic and inorganic matter is called Chemical Oxygen Demand.
Chloro-fluorocarbons (CFCs)
Chloro-fluorocarbons are the inert, non-toxic and easily liquefied chemicals used in refrigerator,
air-conditioning, packaging and insulation, or as solvents and aerosol propellants. Because CFCs are not
destroyed in the lower atmosphere, they drift into the upper atmosphere where their chlorine components
destroy ozone. These are also among the greenhouse gases that may affect climate change.
Chromium
Chromium is heavy metal used in the manufacture of alloys and electroplating. It is a multivalent
element that in hexavalent form can be toxic in drinking water ifconcentration exceeds 50 milligrams per
liter.
Climate
Climate is the condition of the atmosphere at a particular location (microclimate) or region over
a long period of time. It is the long-term summation of atmospheric elements - such as solar radiation,
temperature, humidity, precipitation type (frequency and amount), atmospheric pressure and wind (speed
and direction)- and their variations.
Coliform Organism
Coliform are the micro-organism which found in the intestinal tract of human being and animals.
Its presence in water indicates faecal pollution and potentially dangerous bacterial contamination.
Containment
Containment are the retention of hazardous material so as to ensure that it is effectively
prevented from dispersing into the environment, or released only at an acceptable level. Containment
may occur in specially built containment spaces.
Decibel (dB)
Decibel is the unit of sound measurement on a logarithmic scale, with sound approximately
doubling in loudness for every increase of 10 decibels.
Desertification
The land degradation in arid, semi-arid and dry sub-humid areas resulting from various factors,
including climatic variations (drought) and human activities (over exploitation of dry lands) is called
desertification.
Disposal of Waste
The waste elimination techniques comprising landfills, containment, underground disposal,
dumping at sea and all other disposal methods is called disposal of waste.

259
Dissolved Oxygen (DO)
The amount of gaseous oxygen (O2) actually present in water expressed in terms either of its
presence in the volume of water (milligrams of O2 per littre) or of its share in saturated water (percentage)
is called dissolved oxygen.
Dissolved Solids
Disintegrated organic and inorganic material contained in water. Excessive amounts make water
unsuitable for drinking or for use in industrial processes are called dissolved solids.
Drinking Water Standards
The standards determining the quality of drinking water in the context of prevailing environmental,
social, economic and cultural conditions, with reference to the presence of suspended matter, excess
salts, unpleasant take and all harmful microbes is called drinking water standards. Meeting of those
standards does not necessarily imply purity.
Earthquake
Earthquake is a sudden shaking or trembling of the earth caused by faulting or volcanic activity.
Effluent
The liquid waste product (whether treated or untreated) discharged from and industrial process
or human activity that is discharged into the environment is called effluent.
Emission
Emission is defined as the discharge of pollutants into the atmosphere from stationary sources
such as smokestacks, other vents, surface areas of commercial or industrial facilities and mobile sources,
for example, motor vehicles, locomotives and aircraft.
Fresh Water
Naturally occurring water having a low concentration of salts is called fresh water. It is generally
accepted as suitable for abstraction and treatment to produce potable water.
Flora
Flora consists of all plants life i.e it includes all type of plants species, including ferns, lycopods
and masses. It is an important component of the environment and comprises a large variety of life form
and is an integral part of various ecosystem, for example agriculture, including major & minor crops,
forestry, trees areas, standing wood volume etc.
Fauna
Fauna consists of all animal life i.e it includes all species of animals, birds, mammals, reptiles,
fish, insects and amphibians.
Greenhouse Effect
Greenhouse effect is defined as the effect caused by warming of the earth's atmosphere due to
build-up of carbon dioxide and other greenhouse or trace gases that act like a pane of glass in a
greenhouse, allowing sunlight to pass through and heat the earth but preventing a counterbalancing loss
of heat radiation.
Ground-level Ozone
Amount of ozone present as a secondary pollutant in the lower atmosphere, where its formation
can be enhanced by other pollutants. It is highly toxic at levels above 0.1 parts per million (p.p.m).
Ground Water

260
Freshwater beneath the earth's surface (usually in aquifers) supplying wells and springs.
Because groundwater is a major source of drinking water, there is a growing concern over leaching of
agricultural and industrial pollutants or substances from underground storage tanks.
Habitat
Habitat is place where an organism or population (human, animal, plant, micro-organism) lives.
Hazardous Air Pollutants
Air pollutants that may reasonably be expected to cause or contribute to irreversible illness or
death are called Hazardous Air Pollutants. They include asbestos, beryllium, mercury, benzene, coke
oven emissions, radio nuclides and vinyl chloride.
Human Settlements
Integrative concept that comprises (a) physical components of shelter and infrastructure and (b)
services to which the physical elements provide support, that is to say, community services such as
education, health, culture, welfare, recreation and nutrition.
Industrial Waste
Liquid, solid and gaseous wastes originating from the manufacture of specific products is called
industrial waste.
Irrigation
The irrigation is a process of artificial application of water to land to assist in the growing of crops
and pastures. It is carried out by spraying water under pressure (spry irrigation) or by pumping water onto
the land (flood irrigation).
Landfill
These are the final placement of waste in or on the land in a controlled or uncontrolled way
according to different sanitary, environmental protection and other safety requirements.
Land Reclamation
Land Reclamation is a process of gain of land from the sea, or wetlands, or other water bodies, and restoration of productivity
or use to lands that have been degraded by human activities or impaired by natural phenomena.
Marine Pollution
Direct or indirect introduction by humans of substances or energy into the marine environment
(including estuaries), resulting in harm to living resources, hazards to human health, hindrances to marine
activities including fishing, impairment of the quality of sea water and reduction of amenities is called
marine pollution.
Municipal Waste
Wastes produced by residential, commercial and public services sectors that are collected by
local authorities for treatment and/or disposal in a central location is called municipal waste.
New and Renewable Energy Source
These are the energy sources including solar energy, geothermal energy, wind power,
hydropower, ocean energy (thermal gradient, wave power and tidal power), biomass, draught animal
power, fuel wood, peat, oil shale and tar sands.
Night-soil
These are the contents of cesspools and so forth removed at night, especially for use as manure.

261
Nitrate
Nitrogen-containing compounds are called nitrates. These nitrates can exist in the atmosphere
or as a dissolved gas in water.
Noise Pollution
Sound at excessive levels that may be detrimental to human health is called noise pollution.
ppm./ppb./ppt.
parts per million/ parts per billion/parts per trillion, measures of the concentrations of pollutants
in air, water, soil, human tissue, food or other products.
Ozone (O3)
Ozone is pungent, colourless, toxic gas which contains three atoms of oxygen in each molecule.
It occurs naturally at a concentration of about 0.01 parts per million (p.p.m) of air. Levels of 0.1 p.p.m.
are considered to be toxic. In the atmosphere, ozone provides a protective layer shielding the earth from
the harmful effects of ultraviolet radiation on human beings and other biota. In the atmosphere, it is a
major component of photo-chemical smog, which seriously affects the human respiratory system.
Ozone Depletion
The process of destruction of ozone in the stratosphere, where it shields the earth from harmful
ultraviolet radiation is called Ozone depletion. Its destruction is caused by chemical reactions in which
oxides of hydrogen, nitrogen, chlorine and bromine act as catalysts.

262
Appendix-II
ACRONYMS
ACGR ANNUAL COMPOUND GROWTH RATE
AF Acre feet
AGR Annual Growth Rate
Alk Alkalinity
Amsl Above mean sea level
ARL Attock Refinery Limited
As Arsenic
Avg. Average
B.A Bachelor of Arts
B.C.G Bacillues of Calmette and Guerin
B.Sc Bachelor of Science
BCM Billion cubic metre
BDL Below Detection Limit
BDS Bachelor of Dental Surgery
Bm3 Billion cubic metre
BOD Biological Oxygen Demand
BOD)5 BOD for 5 days
BTU British Thermal Unit
BTX Benzyne Toulene Xylene
C Centigrade
Ca Calcium
CaCo3 Calcium Carbonate
Cft Cubic feet
CH4 Methane
Cl Chlorine
cm3 Cubic centimeter
CNG Compressed Natural Gas
CO Carbon Monoxide
CO2 Carbon Dioxide
CO3 Carbonate
COD Chemical Oxygen Demand
Cond Conductivity
Cr Chromium
Cu Copper (Cprum)
Cu.m Cubic metre
Cub. Cubic
Cusec Flow of Water Cubic Feet Per Second
d Day
D.G. Khan Dera Ghazi Khan
D.P.T Diphtheria, Pertussis and Tetanus
DO DISSOLVED OXYGEN
EC Electrical Conductivity
Engg. Engineering
EPM Department of Environmental Planning
and Management, Peshawar University
ERRA Earthquake Reconstruction & Rehabilitation
Authority
F Fluoride
FATA Federally Administered Tribal Areas
Fe Iron
FO Furnace Oil
Forhigh Forested, Shrub and Highlands
FSMP Forestry Sector Master Plan
ft Feet
GDP Gross Domestic Product
gm Gram
GMT Greenwich Mean Time
GNP Gross National Product
GTPS Gas Turbine Power Station
GWh Gega watts hour
H.Hold Household
ha Hectare
HCC Haveli Canal Circle
HCO3 Bicarbonate
HDIP Hydrocarbon Development Institute of Pakistan
HOBC High Octane Blending Compound
hr Hour
HSD High Speed Diesel
HUBCO The Hub Power company
HUM Humidity
Irrhigh N High Productivity Irrigated (North)
Irrhigh S High Productivity Irrigated (South)
Irrlow N Low Productivity Irrigated (North)
Irrlow S Low Productivity Irrigated (South)
IUCN IUCN-The World Conservation Union
JBO Jute Batch Oil
JP-1, JP-
4
Aviation fuels
K Potash Fertilizers
K Postassium
KANUPP Karachi Nuclear Power Plant

263
D.T Diphtheria and Tetanus
dBA Decibel (International scale of noise level)
Kg/c/day Kilogram per capita per day
Kg/h/day Kilogram per household per day
Kh Kharif
Km Kilometer
Km2 Square Kilometer
KP Khyber Pakhtoonkhwa
l Litre
L.L.B Bachelor of Law and Legislation
LASMO Lasmo Oil Pakistan Limited
LAT Latitude
LBDC Lower Bari Dawab Canal
LCC Lower Chanab Canal
LDO Light Diesel Oil
LONG Longitude
LPG Liquified Petroleum Gas
m Metre
M.A Master of Arts
M.Sc Master of Science
M.Ton Metric ton
Ma Million acres
MAF Million acres feet
MBBS Bachelor of Medicine and Bachelor of
Surgery
MC Municipal Committee
Meth Methyl
Mg Magnesium
mg Milligram
mg/l Milligram Per Litre
MGCL Mari Gas Company Limited
Micro-s Microsecond
Min Minutes
ml/d Millilitre per day
mm Millimetre
Mn Manganese
MPN Most Probable Number
MT Metric Tonnes
MTBE Methyl Tertiary Butyl Ether
MTT Mineral Turpentine
MW Mega Watts
MWh Mega Watts Hour
N Nitrogeneous Fertilizers
KAPCO Kot Addu Power Company
KESC Karachi Electric Supply Corporation
Kg Kilogram
NH3 Ammonia
Ni Nickel
nm/cm Nanometer per centimeter
N-Meth N-Methyl
NO2 Nitrite
NO3 Nitrate
NOx Nitrogen Oxides
NRL National Refinery Limited
NTU Nephelometric turbidity unit
OGDC Oil and Gas Development Corporation
OH Hydroxyl ion
OTPS Oil Thermal Power Station
OXY Occidental of Pakistan Inc.
P Phosphorous Fertilizers
PAEC Pakistan Atomic Energy Commission
PASMIC Pakistan Steel Mills Corporation
Pb Lead
PCRWR Pakistan Council of Research in Water
Resources
PCSIR Pakistan Council for Scientific and Industrial
Research
PCSP Pakistan Contraceptive Prevalence Survey
PDHS Pakistan Demographic and Health Survey
PFFPS Pakistan Fertility and Family Planning Survey
pH Power of Hydrogenion
PM10 Particles at matter having size 10-micron
(Respirable dust)
PMDC Pakistan Mineral Development Corporation
Po4 Phosphate
POL Pakistan Oilfields Limited
ppb Particle passed per billion
PPL Pakistan Petroleum Limited
ppm Particle passed per million
PRL Pakistan Refinery Limited
PSLM Pakistan Social & Living Standards
Measurement Survey
Qty Quantity
RBC Reinforcement of Bricks and Cement
RCC Reinforcement of Concrete and Cement
Rs. Rupees
TSP Total Suspended Particle

264
Na Sodium
NA & AJK Northern Areas and Azad Jamun & Kashmir
NEQS National Environmental Quality Standards
NGO Non-Governmental Organization
NGPS Natural Gas Power Station
SNO Sensor Not Operating
SO4 Sulphates
SPS Steam Power Station
Sq. Square
ssagl Stevenson Screen Above ground level
SSGCL Sui Southern Gas Company Limited
STEL Short Term Exposure Limit
T.B Tuberculosis
T.T Tetanus Toxoid
TCF Trillion Cubic Feet
TCU Time colour unit
TDS Total Dissolved Solids
TEL Tapal Energy Limited
TEMP Temperature
TLV Threshold Limit Value
TNTC Too numerious to be counted
TOE Ton of Oil Equivalent
Tonne Metric Tonne
TPS Thermal Power Station
TSS Total Surface Salinity
S Sulphur
Set S Setteable Solids
SGW Saline Ground Water
SNGPL Sui Northern Gas Pipelines Limited
SO2 Sulphur Dioxide
U/S Up Stream
UB US Barrel
UCC Upper Chanab Canal
W.DIR Wind Direction
W.SPD.m
/s
Wind Speed Miles per Second
W/M2 Watt per square meter
WAPDA Water and Power Development Authority
WASA Water and Sanitation Agency
WHO World Health Organization
Zn Zinc
μg Micro Gram
μg/m³ Microgram per cubic meter
μm Micro Mhose
μs Micro Sem

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