Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Household

UNITS IDENTIFIED: - Dwellings: No - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: No

UNIT DESCRIPTIONS: - Dwellings: A housing unit means a building or a part of building which is meant for residence of household. It is separate from other parts inside the building from construction and residential point of view. There could be one or more than one housing units/dwelling units in one building, and at the time of enumeration more than one household can reside in one housing unit. - Households: A household means one or more than one person who lives under one cooking arrangement and other common necessities of life. If one person is living alone, he will also be treated as one household. Generally, the members of household are relatives, but the friends, servants of the household and other non relatives residing with them can also be included in the household. - Group quarters: Housing unit which has been constructed or specified as the collective residence of some social, governmental or business purpose, e.g. hotel, hostel, residential, barracks of armed or semi armed forces, residential camps, jails, sanatorium, mental hospital disabled, poor, orphans paupers and institutions etc specified for residence at other such persons.

Universe

All those persons who reside in Pakistan, Azad Jammu and Kashmir and Northern areas and within the boundaries of tribal areas, including Afghans refugees mixing up and living with general population out of camps.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Population Census Organization

SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the Minnesota Population Center. *NOTE: The sample excludes 3 provinces: Fata, Northern Areas, and Kashmir.

SAMPLE UNIT: Household

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 13,102,024

Mode of data collection

Face-to-face [f2f]

Research instrument

There are two Population Census forms. The short form includes information about household characteristics, basic demographic information about persons in the household and additional information about religion, language, literacy and citizenship. The long form was collected for approximately 8% of the population and included additional questions about migration, disability, occupation, disability and fertility.

The total population in Pakistan was estimated at 251.3 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Pakistan Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Pakistan PK: Population: Growth data was reported at 1.954 % in 2017. This records a decrease from the previous number of 1.999 % for 2016. Pakistan PK: Population: Growth data is updated yearly, averaging 2.565 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 3.360 % in 1983 and a record low of 1.954 % in 2017. Pakistan PK: Population: Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank.WDI: Population and Urbanization Statistics. Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Rural population (% of total population) in Pakistan was reported at 61.64 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

The geodatabase contains boundaries for the national, first-, second-, third-, and fourth-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided.

The tabular data contain total population for 2017 (census), as well as five-year age group and sex, and information relating to households, housing units, amenities, nationality, religion, language, information and communication technology, livestock, and agriculture.

Pakistan PK: Population: Total data was reported at 197,015,955.000 Person in 2017. This records an increase from the previous number of 193,203,476.000 Person for 2016. Pakistan PK: Population: Total data is updated yearly, averaging 103,031,662.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 197,015,955.000 Person in 2017 and a record low of 44,908,293.000 Person in 1960. Pakistan PK: Population: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank.WDI: Population and Urbanization Statistics. Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Sum; Relevance to gender indicator: disaggregating the population composition by gender will help a country in projecting its demand for social services on a gender basis.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Pakistan data available from WorldPop here.

Population, female (% of total population) in Pakistan was reported at 49.28 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Pakistan PK: Population Projection: Mid Year data was reported at 290,847,790.000 Person in 2050. This records an increase from the previous number of 288,878,950.000 Person for 2049. Pakistan PK: Population Projection: Mid Year data is updated yearly, averaging 152,429,036.000 Person from Jun 1950 (Median) to 2050, with 101 observations. The data reached an all-time high of 290,847,790.000 Person in 2050 and a record low of 40,382,206.000 Person in 1950. Pakistan PK: Population Projection: Mid Year data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Pakistan – Table PK.US Census Bureau: Demographic Projection.

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facilitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems. Detailed metadata will be found in ipumsi_6.3_pk_1998_ddic.html within the Data Package. The related metadata describes the content of the extraction of the specified sample from the IPUMS International on-line extraction system.

Geographic coverage

National

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

This data set lists tehsil and district level population statistics from the 2017 and 1998 censuses.

Urban population growth (annual %) in Pakistan was reported at 2.3603 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - Urban population growth (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

Pakistan Population: Male data was reported at 106.440 Person mn in 2017. This records an increase from the previous number of 100.920 Person mn for 2016. Pakistan Population: Male data is updated yearly, averaging 78.240 Person mn from Jun 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 106.440 Person mn in 2017 and a record low of 56.320 Person mn in 1990. Pakistan Population: Male data remains active status in CEIC and is reported by Ministry of Planning, Development & Reforms. The data is categorized under Global Database’s Pakistan – Table PK.G001: Population. The survey covers all of the four provinces of Pakistan defined as such 1998 Population Census, including Federally Administered Tribal Areas (FATA) and military restricted areas. The population of FATA and military restricted areas constitutes about 2% of the total population. Population statistics for 1981 and1998 are from Censuses. Population Censuses were conducted in March 1981 and 1998.

Population density (people per sq. km of land area) in Pakistan was reported at 316 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

Abstract

A primary objective of the national Time Use Survey in Pakistan is to account for the 24 hours time in term of the full spectrum of activities carried out during the duration. The objectives of the survey are specified as under:- - To profile the quantum and distribution of paid/unpaid work as a means to infer policy/programme implications from the perspective of gender equity. - To collect and analyze the time use pattern of the individuals in order to help draw inferences for employment and welfare programmes. - To collect and analyze the comprehensive information about the time spent by people on marketed and non-marketed economic activities covered under the 1993-SNA, non-marketed non-SNA activities within the General Production Boundary and personal care and related activities that cannot be delegated to others. - To use the data in generating more reliable estimates on work force.

Geographic coverage

The survey covers all urban and rural areas of the four provinces of Pakistan defined as such by 1998 Population Census excluding Federally Administered Tribal Areas (FATA) and certain administrative areas of NWFP. The population of geographic areas excluded from the survey constitutes about 2 percent of the total population as enumerated in 1998 Population Census. The population excluded is located in difficult terrain and its enumeration through personal interview is not possible within the given constraints of time, access and cost.

Analysis unit

Households Individuals

Universe

The universe consists of all urban and rural areas of the four provinces of Pakistan, defined as such by Population Census 1998, excluding FATA & Military Restricted Areas. The population of excluded area constitutes about 3% of the total population and is located in different terrain.

Sampling procedure

Sampling Frame Federal Bureau of Statistics has developed its own sampling frame for all urban areas of the country. Each city/town has been divided into a number of enumeration blocks. Each enumeration block consists of 200-250 households on the average with well-defined boundaries and maps. The sampling frame i.e. lists of enumeration blocks as up-dated through Economic Census 2003-04 and the lists of villages/mouzas/dehs published by Population Census Organization as a result of 1998 Population Census have been taken as sampling frame. Enumeration blocks and villages are considered as primary sampling unites (PSUs) for urban and rural domain respectively.

Stratification a) Urban Domain i) Large Sized Cities Karachi, Lahore, Gujranwala, Faisalabad, Rawalpindi, Multan, Sialkot, Sargodha, Bahawapur, Hyderabad, Sukkur, Peshawar, Quetta and Islamabad are considered as large sized cities. Each of these cities constitutes a separate stratum which is further sub-stratified according to low, middle, high income groups based on the information collected in respect of each enumeration block at the time of demarcation/up-dating of urban area sampling frame. ii) Remaining urban areas After excluding the population of large sized cities from the population of respective administrative division, the remaining urban population of administrative division of four provinces is grouped together to form a stratum called other urban. Thus ex-division in remaining urban areas in the four provinces constitutes a stratum. b) Rural Domain In rural domain, each administrative district in the Punjab, Sindh and NWF Provinces is considered as independent and explicit stratum whereas, in Balochistan, each administrative division constitutes a stratum.

Sample size and its Allocation Keeping in view the resources available, a sample size of 19600 sample households has been considered appropriate to provide estimates of key characteristics at the desired level. The entire sample of households (SSUs) has been drawn from 1388 Primary Sampling Units (PSUs) out of which 652 are urban and 736 are rural. In order to control seasonal variation etc. sample has been distributed evenly over four quarters. This has facilitated to capture the variation due to any seasonal activity as urban population is more heterogeneous therefore, a higher proportion of sample size has been allocated to urban domain. Similarly NWFP and Balochistan being the smaller province, have been assigned higher proportion of sample in order to get reliable estimates. After fixing the sample size at provincial level, further distribution of sample PSUs to different strata in rural and urban domains in each province has been made proportionately.

Sample Design A three-stage stratified sample design has been adopted for the survey. Sample Selection Procedure a) Selection of Primary Sampling Unites (PSUs) Enumeration blocks in urban domain and mouzas/dehs/villages in rural domain are taken as primary sampling unites (PSUs). In the urban domain, sample PSUs from each ultimate stratum/sub-stratum is selected with probability proportional to size (PPS) method of sampling scheme. In urban domain, the number of households in enumeration block as up-dated through Economic Census 2003-04 and population of 1998 Census for each village/mouza/deh are considered as measure of size. b) Section of Secondary Sampling Units (SSUs) Households within sample PSUs are taken as secondary sampling unites (SSUs). A specified number of households i.e. 12 from each urban sample PSU and 16 from each rural sample PSU are selected with equal probability using systematic sampling technique with a random start. Different households are selected in each quarter. c) Selection of Third Stage Sampling Units i.e. Individuals/Persons (TSUs) From the sample households, individuals/persons aged 10+ years within each sample households (SSUs) have been taken as third stage sampling units (TSUs). Two individuals aged 10 years and above among the eligible individuals/persons from each sample household have been interviewed using a selection grid.The grid and selection steps are detailed on p13 of the survey report available under external resources.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire has been framed in the light of contemporary precedents and practices in vogue in the developing countries. The recommendations of Gender Responsive Budgeting Initiatives (GRBI) expert who visited Pakistan in June 2006 have been taken into account. Further, the advice of local experts hailing both from data producing and using agencies has also been considered. Survey Questionnaire and Manual of Instructions, for the Supervisors & Enumerators, was finalized jointly by Federal Bureau of Statistics and GRBI Project staff. The questionnaire was also pre-tested and reviewed accordingly. The questionnaire adopted for the survey is given at Annexure-A. All the households selected in the sample stand interviewed. Diary part of the questionnaire is filled-in from two respondents selected from each of the enumerated households. The questionnaire consists of the following six parts. Section-1: Identification of the area, respondents, detail of field visits and staff entrusted with supervision, editing and coding. Section-2: Detailed information about the socio-economic and demographic particulars of the selected households and individuals. Some of the important household characteristics i.e. ownership status and type of the household, earthquake damage, household items, sources of energy, drinking water, transport, health & education facilities, sources of income, monthly income, age and sex composition of the population. Section-3: Demographic detail such as age, sex, marital status, educational level, having children, employment status, source of income etc. of the selected respondent of that household Section-4: Comprised of diary to record the activities performed by the first selected respondent through the 24 hours period between 4.00 a.m. of the day preceding the day of interview and 3.00 a.m. on the day of the interview. Section-5 and 6 pertain to the second selected respondent of the selected household. The diary which is the core instrument of the time use study is divided into forty eight half-hour slots. An open ended question about the activities performed during the thirty minutes was asked from the respondent. Provision for minimum of recording three activities through half hour slot was made. In case of reporting more than one activity, the respondent was probed whether these activities were carried out simultaneously or one after the other. Similarly, the two locations of performing the activities were also investigated in the diary part of the questionnaire. The activities recorded in the diary are then coded by the field enumerator according to the activity classification given at Annex-B.

Cleaning operations

Soon after data collection, the field supervisors manually clean, edit and check the filled in questionnaire and refer back to field where necessary. This does not take much time since most of the manual editing is done in the field. Further editing is done by the subject matter section at the Headquarter. Also during data entry, further editing of error identified by applying computer edit checks is done. In edit checks, data ranges in numerical values are used to eliminate erroneous data as a result of mistakes made during coding. Thus, the survey records are edited and corrected through a series of computer processing stages.

The total population of Pakistan stood at approximately 235.95 million people in 2024. Following a continuous upward trend, the total population has risen by around 155.34 million people since 1980. Between 2024 and 2030, the total population will rise by around 28.90 million people, continuing its consistent upward trajectory.This indicator describes the total population in the country at hand. This total population of the country consists of all persons falling within the scope of the census.

Graph and download economic data for Population, Total for Pakistan (POPTOTPKA647NWDB) from 1960 to 2024 about Pakistan and population.

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Graph and download economic data for Population Growth for Pakistan (SPPOPGROWPAK) from 1961 to 2024 about Pakistan, population, and rate.