The Global Population Count Grid Time Series Estimates provide a back-cast time series of population grids based on the year 2000 population grid from SEDAC's Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) data set. The grids were created by using rates of population change between decades from the coarser resolution History Database of the Global Environment (HYDE) database to back-cast the GRUMPv1 population count grids. Mismatches between the spatial extent of the HYDE calculated rates and GRUMPv1 population data were resolved via infilling rate cells based on a focal mean of values. Finally, the grids were adjusted so that the population totals for each country equaled the UN World Population Prospects (2008 Revision) estimates for that country for the respective year (1970, 1980, 1990, and 2000). These data do not represent census observations for the years prior to 2000, and therefore can at best be thought of as estimations of the populations in given locations. The population grids are consistent internally within the time series, but are not recommended for use in creating longer time series with any other population grids, including GRUMPv1, Gridded Population of the World, Version 4 (GPWv4), or non-SEDAC developed population grids. These population grids served as an input to SEDAC's Global Estimated Net Migration Grids by Decade: 1970-2000 data set.
The Gridded Population of the World, Version 3 (GPWv3): Population Count Grid, Future Estimates consists of estimates of human population for the years 2005, 2010, and 2015 by 2.5 arc-minute grid cells and associated data sets dated circa 2000. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative Units, is used to assign population values to grid cells. The population counts that the grids are derived from are extrapolated based on a combination of subnational growth rates from census dates and national growth rates from United Nations statistics. All of the grids have been adjusted to match United Nations national level population estimates. The population count grids contain estimates of the number of persons per grid cell. The grids are available in various GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with Centro Internacional de Agricultura Tropical (CIAT).
The Gridded Population of the World, Version 3 (GPWv3): Population Count Grid, Future Estimates consists of estimates of human population for the years 2005, 2010, and 2015 by 2.5 arc-minute grid cells and associated data sets dated circa 2000. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative Units, is used to assign population values to grid cells. The population counts that the grids are derived from are extrapolated based on a combination of subnational growth rates from census dates and national growth rates from United Nations statistics. All of the grids have been adjusted to match United Nations national level population estimates. The population count grids contain estimates of the number of persons per grid cell. The grids are available in various GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with Centro Internacional de Agricultura Tropical (CIAT).
The Global Population Count Grid Time Series Estimates provide a back-cast time series of population grids based on the year 2000 population grid from SEDAC's Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) data set. The grids were created by using rates of population change between decades from the coarser resolution History Database of the Global Environment (HYDE) database to back-cast the GRUMPv1 population count grids. Mismatches between the spatial extent of the HYDE calculated rates and GRUMPv1 population data were resolved via infilling rate cells based on a focal mean of values. Finally, the grids were adjusted so that the population totals for each country equaled the UN World Population Prospects (2008 Revision) estimates for that country for the respective year (1970, 1980, 1990, and 2000). These data do not represent census observations for the years prior to 2000, and therefore can at best be thought of as estimations of the populations in given locations. The population grids are consistent internally within the time series, but are not recommended for use in creating longer time series with any other population grids, including GRUMPv1, Gridded Population of the World, Version 4 (GPWv4), or non-SEDAC developed population grids. These population grids served as an input to SEDAC's Global Estimated Net Migration Grids by Decade: 1970-2000 data set.
The Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 11 consists of estimates of human population (number of persons per pixel), consistent with national censuses and population registers, for the years 2000, 2005, 2010, 2015, and 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative Units, was used to assign population counts to 30 arc-second grid cells. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. To enable faster global processing, and in support of research commUnities, the 30 arc-second data were aggregated to 2.5 arc-minute, 15 arc-minute, 30 arc-minute and 1 degree resolutions.
Global population count, by pixel, from the Gridded Population of the World Dataset developed by CIESEN, Columbia University and NASA SEDAC. The data represents the year 2020 at a 30 arc-second (1km) resolution. Data was downloaded and converted to a Cloud Optimized GeoTiff with internal overviews by NatCap team members. For more information on the dataset, please see the metadata (YML) file. More information on the source dataset can be found here: https://www.earthdata.nasa.gov/data/catalog/sedac-ciesin-sedac-gpwv4-popcount-r11-4.11
The Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 11 consists of estimates of human population (number of persons per pixel), consistent with national censuses and population registers, for the years 2000, 2005, 2010, 2015, and 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative Units, was used to assign population counts to 30 arc-second grid cells. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. To enable faster global processing, and in support of research commUnities, the 30 arc-second data were aggregated to 2.5 arc-minute, 15 arc-minute, 30 arc-minute and 1 degree resolutions.
As a source of animal and plant population data, the Global Population Dynamics Database (GPDD) is unrivalled. Nearly five thousand separate time series are available here. In addition to all the population counts, there are taxonomic details of over 1400 species. The type of data contained in the GPDD varies enormously, from annual counts of mammals or birds at individual sampling sites, to weekly counts of zooplankton and other marine fauna. The project commenced in October 1994, following discussions on ways in which the collaborating partners could make a practical and enduring contribution to research into population dynamics. A small team was assembled and, with assistance and advice from numerous interested parties we decided to construct the database using the popular Microsoft Access platform. After an initial design phase, the major task has been that of locating, extracting, entering and validating the data in all the various tables. Now, nearly 5000 individual datasets have been entered onto the GPDD. The Global Population Dynamics Database comprises six Tables of data and information. The tables are linked to each other as shown in the diagram shown in figure 3 of the GPDD User Guide (GPDD-User-Guide.pdf). Referential integrity is maintained through record ID numbers which are held, along with other information in the Main Table. It's structure obeys all the rules of a standard relational database.
Over the past 23 years, there were constantly more men than women living on the planet. Of the 8.06 billion people living on the Earth in 2023, 4.05 billion were men and 4.01 billion were women. One-quarter of the world's total population in 2024 was below 15 years.
As of February 2025, 5.56 billion individuals worldwide were internet users, which amounted to 67.9 percent of the global population. Of this total, 5.24 billion, or 63.9 percent of the world's population, were social media users. Global internet usage Connecting billions of people worldwide, the internet is a core pillar of the modern information society. Northern Europe ranked first among worldwide regions by the share of the population using the internet in 20254. In The Netherlands, Norway and Saudi Arabia, 99 percent of the population used the internet as of February 2025. North Korea was at the opposite end of the spectrum, with virtually no internet usage penetration among the general population, ranking last worldwide. Eastern Asia was home to the largest number of online users worldwide – over 1.34 billion at the latest count. Southern Asia ranked second, with around 1.2 billion internet users. China, India, and the United States rank ahead of other countries worldwide by the number of internet users. Worldwide internet user demographics As of 2024, the share of female internet users worldwide was 65 percent, five percent less than that of men. Gender disparity in internet usage was bigger in African countries, with around a ten percent difference. Worldwide regions, like the Commonwealth of Independent States and Europe, showed a smaller usage gap between these two genders. As of 2024, global internet usage was higher among individuals between 15 and 24 years old across all regions, with young people in Europe representing the most significant usage penetration, 98 percent. In comparison, the worldwide average for the age group 15–24 years was 79 percent. The income level of the countries was also an essential factor for internet access, as 93 percent of the population of the countries with high income reportedly used the internet, as opposed to only 27 percent of the low-income markets.
Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.
The difficulties of death figures
This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.
Where are these numbers coming from?
The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.
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License information was derived automatically
Trademark applications, resident, by count in World was reported at 15285200 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Trademark applications, resident, by count - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.
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
Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
License information was derived automatically
Statistics illustrates the import price of Revolution counter, production counters, taximeters, mileometers, pedometers and the like, speed indicators and tachometers, other than those of heading no. 9015, stroboscopes in the World from 2007 to 2024 by trade partner.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Trademark applications, nonresident, by count in World was reported at 2897100 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Trademark applications, nonresident, by count - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
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Global Automated Cell Counter market size is expected to reach $7.31 billion by 2029 at 6.2%, segmented as by consumable accessories, cell counting reagents, cell counting slides, sample tubes
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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The global tally counter market size is projected to witness substantial growth, reaching approximately USD 1.2 billion by 2032 from an estimated USD 650 million in 2023, with a compound annual growth rate (CAGR) of 7.5% over the forecast period. The notable increase in market size is primarily driven by the expanding applications of tally counters across various sectors, technological advancements in electronic tally counters, and the increasing demand for efficient counting solutions in commercial settings. Additionally, the growing emphasis on automation and precision in operational processes across industries is propelling the market forward.
One of the key growth factors for the tally counter market is the rising adoption of electronic tally counters over traditional mechanical ones. With the increasing need for accuracy and efficiency, electronic tally counters are becoming more popular due to their advanced features, such as digital displays and memory functions. These counters are particularly favored in industries where precise counting is crucial, such as manufacturing and events management. Moreover, the integration of wireless connectivity and data transfer functionalities in electronic tally counters is further boosting their demand, allowing users to seamlessly transfer data to various devices for analysis and record-keeping.
Another significant driving force behind the tally counter market is the diversification of applications across different sectors. In the retail industry, tally counters are utilized to streamline inventory management and facilitate customer service operations, leading to higher demand. In sports, they are employed for scorekeeping and tracking various metrics, while educational institutions use them for monitoring attendance and organizing events. The events sector, with its frequent need for crowd management and counting, is also a major consumer of tally counters. This diversification in application is creating a wide array of opportunities for manufacturers and suppliers to cater to various niche markets.
The growth of the tally counter market is further supported by the increasing availability of products through online distribution channels. With the surge in e-commerce and the shift towards digital shopping experiences, more consumers and businesses are purchasing tally counters online. This trend is enabling manufacturers to reach a broader audience and reduce distribution costs, thereby enhancing profitability. Additionally, online platforms provide consumers with access to a wider range of products and facilitate easy price comparisons, which is fostering market growth by driving competition and innovation among manufacturers.
In addition to their widespread use in various industries, Food Counters have emerged as a significant application area for tally counters. These devices are increasingly employed in food service establishments to manage inventory and streamline operations. By accurately counting items such as trays, utensils, and food portions, tally counters help ensure efficient service and reduce waste. The integration of electronic tally counters with kitchen management systems allows for real-time data collection and analysis, enabling restaurants and catering services to optimize their processes and enhance customer satisfaction. This growing trend highlights the versatility of tally counters in adapting to new and evolving market demands.
Regionally, Asia Pacific dominates the tally counter market, attributed to the rapid industrialization and the burgeoning retail sector in countries like China and India. The availability of affordable electronic tally counters and a large consumer base are further fueling the market's expansion in this region. North America and Europe also represent significant markets due to their advanced technological infrastructure and the widespread adoption of automated systems in commercial environments. Meanwhile, Latin America and the Middle East & Africa are expected to witness moderate growth, driven by increasing investments in the retail and sports sectors. These regions are gradually embracing technological advancements, which is anticipated to contribute to the marketÂ’s overall growth.
The tally counter market can be segmented into mechanical tally counters and electronic tally counters, each with distinct characteristics and applications. Mechanical tally counters, known for their durabilit
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Industrial design applications, nonresident, by count in World was reported at 273400 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Industrial design applications, nonresident, by count - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.
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The global counters market size was valued at approximately USD 1.2 billion in 2023 and is projected to grow to USD 2.2 billion by 2032, exhibiting a CAGR of 6.5% during the forecast period. The growth of this market is primarily driven by the increasing demand for automation and advanced monitoring systems across various industries such as manufacturing, healthcare, and transportation.
The rising trend of industrial automation is one of the key growth factors for the counters market. Industries are increasingly adopting automated systems to enhance operational efficiency, which necessitates the use of counters for various applications, such as monitoring production lines and tracking output. Additionally, the integration of Internet of Things (IoT) technologies within industrial processes is further augmenting the demand for advanced electronic and electromechanical counters. The need for precision and accuracy in industrial operations is prompting industries to invest in advanced counter technologies.
The healthcare sector is another significant contributor to the growth of the counters market. The increasing prevalence of chronic diseases and the subsequent rise in the number of medical procedures are driving the demand for precise medical equipment that includes counters. Medical counters are essential for monitoring patient data, administering medications, and managing medical devices. Moreover, the advancements in medical technology, including the development of smart medical devices, are expected to further boost the demand for counters in the healthcare industry.
Furthermore, the growing demand for counters in commercial and residential applications is also playing a crucial role in market growth. In the commercial sector, counters are extensively used in retail stores for inventory management, customer counting, and transaction monitoring. Residential applications include the use of counters in smart home devices, energy meters, and water meters, contributing to the market growth. The increasing adoption of smart homes and IoT-enabled devices is expected to further propel the demand for counters in residential applications.
The implementation of People Counters in various sectors is revolutionizing how businesses and organizations manage foot traffic and occupancy levels. These devices are particularly beneficial in retail environments, where understanding customer flow can lead to optimized store layouts and improved sales strategies. In addition to retail, People Counters are increasingly being used in transportation hubs, museums, and public buildings to enhance safety and operational efficiency. By providing real-time data on the number of people in a given space, these counters help in maintaining social distancing norms and optimizing resource allocation. The integration of People Counters with IoT platforms further enhances their utility, allowing for seamless data collection and analysis, which is crucial for strategic decision-making.
Regionally, Asia Pacific dominates the counters market owing to the rapid industrialization and urbanization in the region. Countries such as China, India, and Japan are witnessing significant investments in industrial automation and smart city projects, which is driving the demand for counters. North America and Europe also hold substantial market shares due to the high adoption rate of advanced technologies and the presence of major market players. The Middle East & Africa and Latin America regions are anticipated to witness moderate growth, driven by the increasing focus on infrastructure development and industrialization.
The counters market is segmented into three primary types: Mechanical Counters, Electronic Counters, and Electromechanical Counters. Mechanical counters, although traditional, still hold relevance in various sectors due to their simplicity and durability. These counters are widely used in applications where electronic counters may not be suitable, such as in harsh environmental conditions. The demand for mechanical counters is driven by their low cost, ease of use, and minimal maintenance requirements. They are commonly used in industrial machinery, water meters, and gas meters.
Electronic counters are witnessing a significant surge in demand due to their advanced features and high precision. These counters are extensively used in applications requiring accurate measurements and real-time dat
The Global Population Count Grid Time Series Estimates provide a back-cast time series of population grids based on the year 2000 population grid from SEDAC's Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) data set. The grids were created by using rates of population change between decades from the coarser resolution History Database of the Global Environment (HYDE) database to back-cast the GRUMPv1 population count grids. Mismatches between the spatial extent of the HYDE calculated rates and GRUMPv1 population data were resolved via infilling rate cells based on a focal mean of values. Finally, the grids were adjusted so that the population totals for each country equaled the UN World Population Prospects (2008 Revision) estimates for that country for the respective year (1970, 1980, 1990, and 2000). These data do not represent census observations for the years prior to 2000, and therefore can at best be thought of as estimations of the populations in given locations. The population grids are consistent internally within the time series, but are not recommended for use in creating longer time series with any other population grids, including GRUMPv1, Gridded Population of the World, Version 4 (GPWv4), or non-SEDAC developed population grids. These population grids served as an input to SEDAC's Global Estimated Net Migration Grids by Decade: 1970-2000 data set.