WorldPop produces different types of gridded population count datasets, depending on the methods used and end application.
Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.
Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below.
These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country.
They can also be visualised and explored through the woprVision App.
The remaining datasets in the links below are produced using the "top-down" method,
with either the unconstrained or constrained top-down disaggregation method used.
Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively):
- Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020.
- Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020.
- Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019)
-Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019).
-Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets.
-Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using
constrained top-down methods for all countries of the World for 2020.
-Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using
constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national
population estimates (UN 2019).
Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent.
Data for earlier dates is available directly from WorldPop.
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
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Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team, except for aggregation of individual case count data into daily counts when that was the best data available for a disease and location. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format. All geographic locations at the country and admin1 level have been represented at the same geographic level as in the data source, provided an ISO code or codes could be identified, unless the data source specifies that the location is listed at an inaccurate geographical level. For more information about decisions made by the curation team, recommended data processing steps, and the data sources used, please see the README that is included in the dataset download ZIP file.
In 2016, there were approximately 19.2 thousand millionaires in Pakistan. The number of individuals owning one million U.S. dollars or more in Pakistan is expected to rise to 26.9 thousand by 2026.
HNWI forecast in Pakistan
Individuals with investible assets of at least one million U.S. dollars in current exchange rate terms are considered high net worth. The number of high-net-worth individuals in Pakistan is expected to rise overall between 2022 and 2028, settling at just under eight thousand individuals.
Countries with the highest millionaire rate
In 2021, Switzerland had the highest rate of millionaires in the world, with 16.4 percent of the adult population owning assets worth more than one million U.S. dollars. Luxembourg came in second, with 16.2 percent of the population being millionaires, and Iceland came in third. Furthermore, over 22 million people in the United States were among the world's top one percent of ultra-high net-worth individuals in 2021. China came second, with over five million top one percent wealth holders worldwide.
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France Imports from Pakistan of Revolution and production count, Taximeters, Odometers, Pedometers was US$711 during 2023, according to the United Nations COMTRADE database on international trade. France Imports from Pakistan of Revolution and production count, Taximeters, Odometers, Pedometers - data, historical chart and statistics - was last updated on March of 2025.
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Pakistan Imports of revolution and production count, taximeters, odometers, pedometers from Chad was US$623 during 2022, according to the United Nations COMTRADE database on international trade. Pakistan Imports of revolution and production count, taximeters, odometers, pedometers from Chad - data, historical chart and statistics - was last updated on March of 2025.
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Mexico Exports of revolution and production count, taximeters, odometers, pedometers to Pakistan was US$714 during 2017, according to the United Nations COMTRADE database on international trade. Mexico Exports of revolution and production count, taximeters, odometers, pedometers to Pakistan - data, historical chart and statistics - was last updated on March of 2025.
This statistic displays the number of Pakistani internet users in the United Kingdom (UK) from 2011 to 2020. In 2020, it was found that 751 thousand Pakistani internet users in the UK had used the internet in the last three months.
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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.
The number of billionaires in Pakistan is forecast to reach four in 2026. In 2016, there were just three individuals whose net worth exceeded one billion U.S. dollars in Pakistan.
Leading billionaire cities
According to the Hurun Global Rich List 2022, Beijing had the most billionaires in 2022. In total, 144 billionaires lived in China's capital. Furthermore, 121 billionaires resided in Shanghai, while 110 were in New York. Many of the world's billionaires are concentrated in a few megacities. A look at the primary industries of billionaires globally helps to explain the importance of traditional global business capitals such as New York, London, and Hong Kong. The inclusion of Chinese cities on the list can be explained partly by the country's industrial conglomerates' strong performance in recent years.
The effect of COVID-19 on the wealth of billionaires
Elon Musk was the billionaire whose fortune grew the most due to the COVID-19 pandemic. From September 2019 to September 2022, Elon Musk increased his net worth by 231.1 billion US dollars. Google’s Larry Page added the second highest value to his net worth during the period under consideration, with an increase of 37.5 billion dollars. In contrast, Facebook founder Mark Zuckerberg’s net worth decreased by nearly 12 billion US dollars during the same time.
In the year 2022, there were approximately 3.14 million fixed broadband subscriptions registered in Pakistan. This number has been growing rapidly throughout the 2010s and early-2020s, having increased slightly from the 2.95 million subscriptions reported in the previous year of 2021 and nearly doubled from the amount registered in 2015.
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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;
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Pakistan PK: Battle-Related Deaths: Number of People data was reported at 668.000 Person in 2017. This records a decrease from the previous number of 735.000 Person for 2016. Pakistan PK: Battle-Related Deaths: Number of People data is updated yearly, averaging 389.000 Person from Jun 1990 (Median) to 2017, with 24 observations. The data reached an all-time high of 6,864.000 Person in 2009 and a record low of 0.000 Person in 1993. Pakistan PK: Battle-Related Deaths: Number of People 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. Battle-related deaths are deaths in battle-related conflicts between warring parties in the conflict dyad (two conflict units that are parties to a conflict). Typically, battle-related deaths occur in warfare involving the armed forces of the warring parties. This includes traditional battlefield fighting, guerrilla activities, and all kinds of bombardments of military units, cities, and villages, etc. The targets are usually the military itself and its installations or state institutions and state representatives, but there is often substantial collateral damage in the form of civilians being killed in crossfire, in indiscriminate bombings, etc. All deaths--military as well as civilian--incurred in such situations, are counted as battle-related deaths.; ; Uppsala Conflict Data Program, http://www.pcr.uu.se/research/ucdp/.; Sum;
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Pakistan Imports from France of Revolution and production count, Taximeters, Odometers, Pedometers was US$199 during 2023, according to the United Nations COMTRADE database on international trade. Pakistan Imports from France of Revolution and production count, Taximeters, Odometers, Pedometers - data, historical chart and statistics - was last updated on March of 2025.
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Paraguay Imports of revolution and production count, taximeters, odometers, pedometers from Pakistan was US$88 during 2024, according to the United Nations COMTRADE database on international trade. Paraguay Imports of revolution and production count, taximeters, odometers, pedometers from Pakistan - data, historical chart and statistics - was last updated on March of 2025.
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Key information about Pakistan Number of Registered Vehicles
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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.
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Pakistan PK: Population: Female data was reported at 95,816,602.000 Person in 2017. This records an increase from the previous number of 93,958,639.000 Person for 2016. Pakistan PK: Population: Female data is updated yearly, averaging 49,568,043.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 95,816,602.000 Person in 2017 and a record low of 20,852,045.000 Person in 1960. Pakistan PK: Population: Female 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. Female population is based on the de facto definition of population, which counts all female residents regardless of legal status or citizenship.; ; World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2017 Revision.; Sum;
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Thailand Imports from Pakistan of Revolution and production count, Taximeters, Odometers, Pedometers was US$309 during 2024, according to the United Nations COMTRADE database on international trade. Thailand Imports from Pakistan of Revolution and production count, Taximeters, Odometers, Pedometers - data, historical chart and statistics - was last updated on March of 2025.
The total number of Japanese residents living in Pakistan as of October 2018 amounted to approximately 1.05 thousand people. The Japanese population in the country slightly decreased compared to the previous year. The statistic, which is based on the information gathered by Japanese diplomatic missions abroad, does not include descendants of Japanese emigrants (nikkeijin) who do not hold Japanese citizenship. People with multiple citizenship are counted.
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Pakistan PK: Tax Payments data was reported at 47.000 Number in 2017. This stayed constant from the previous number of 47.000 Number for 2016. Pakistan PK: Tax Payments data is updated yearly, averaging 47.000 Number from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 47.000 Number in 2017 and a record low of 47.000 Number in 2017. Pakistan PK: Tax Payments 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: Company Statistics. Tax payments by businesses are the total number of taxes paid by businesses, including electronic filing. The tax is counted as paid once a year even if payments are more frequent.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
WorldPop produces different types of gridded population count datasets, depending on the methods used and end application.
Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.
Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below.
These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country.
They can also be visualised and explored through the woprVision App.
The remaining datasets in the links below are produced using the "top-down" method,
with either the unconstrained or constrained top-down disaggregation method used.
Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively):
- Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020.
- Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020.
- Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019)
-Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019).
-Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets.
-Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using
constrained top-down methods for all countries of the World for 2020.
-Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using
constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national
population estimates (UN 2019).
Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent.
Data for earlier dates is available directly from WorldPop.
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645