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.

Kazakhstan data available from WorldPop here.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

This layer shows the average household size in Kazakhstan in 2022, in a multiscale map (Country and Region). Nationally, the average household size is 3.4 people per household. It is calculated by dividing the household population by total households.The pop-up is configured to show the following information at each geography level:Average household size (people per household)Total populationTotal householdsCounts of population by 15-year age incrementsCounts of population by marital status The source of this data is Michael Bauer Research. The vintage of the data is 2022. This item was last updated in November, 2022 and is updated every 12-18 months as new annual figures are offered.Additional Esri Resources:Esri DemographicsThis item is for visualization purposes only and cannot be exported or used in analysis.We would love to hear from you. If you have any feedback regarding this item or Esri Demographics, please let us know.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

This map shows the average household size in Kazakhstan in 2022, in a multiscale map (Country and Region). Nationally, the average household size is 3.4 people per household. It is calculated by dividing the household population by total households.The pop-up is configured to show the following information at each geography level:Average household size (people per household)Total populationTotal householdsCounts of population by 15-year age incrementsCounts of population by marital status The source of this data is Michael Bauer Research. The vintage of the data is 2022. This item was last updated in November, 2022 and is updated every 12-18 months as new annual figures are offered.Additional Esri Resources:Esri DemographicsThis item is for visualization purposes only and cannot be exported or used in analysis.We would love to hear from you. If you have any feedback regarding this item or Esri Demographics, please let us know.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. An overview of the data can be found in Tatem et al, and a description of the modelling methods used found in Stevens et al. The 'Global per country 2000-2020' datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World for each year 2000-2020. These efforts necessarily involved some shortcuts for consistency. The 'individual countries' datasets represent older efforts to map populations for each country separately, using a set of tailored geospatial inputs and differing methods and time periods. The 'whole continent' datasets are mosaics of the individual countries datasets

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

We developed gridded livestock (horses and small ruminants, i.e., sheep & goats) density maps at high-resolution (1 km) for Kazakhstan during 2000-2019 using vegetation proxies, climatic, socioeconomic, topographic, and proximity forcing variables. The developed livestock maps can be used in spatially explicit research, such as quantifying grass-livestock balance, water consumption by animal husbandry, methane emissions, risk of zoonotic diseases, and other environmental impact assessments.

The repository has three folders with small ruminants, horses, and sample code and data in separate folders. Each file is saved in GeoTiff format with 1-km spatial resolution and an Albers equal-area conic projection. Each file is saved with an acronym of ‘sr’ for small ruminants (Sheep & goat) and ‘hr’ for horses, followed by an underscore and a year. Missing data are represented by “No data.”

Kazakhstan Oblystar Boundaries provides a 2022 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online.The 2022 boundaries are provided by Michael Bauer Research GmbH. These were published in December 2022. A new layer will be published in 12-18 months. Other administrative boundaries for this country are also available: Country

As of February 2025, India had a total of 413.85 million Instagram users, the largest Instagram audience in the world. The United States had 171.7 million users, and Brazil had 140.7 million. Indonesia, Turkey, and Japan ranked in fourth, fifth and sixth position, respectively. Kazakhstan is the leading country for Instagram audience reach, with 86.2 percent of the population using the social media service. Turkey came in second, with a penetration rate of 85.5 percent and Uruguay ranked third, with 87.1 percent, followed closely by the UAE, Brazil, and Bahrain. It took Instagram 11.2 years to reach the milestone of 2 billion monthly active users worldwide. WhatsApp, also owned by Meta, took 11 years, whilst Facebook took 13.3 years and YouTube took just over 14 years. Instagram’s demographics in the United States As of March 2025, Instagram was the fourth most visited social media service in the United States, after Facebook, Pinterest and X. Out of TikTok, Instagram and Snapchat, TikTok was the most used of all three platforms by Generation Z. Overall, 57 percent of Gen Z social media users used Instagram in 2021, down from 61 percent in 2020 and 64 percent in 2019. Instagram finds most popularity with those in the 25 to 34 year age group, and as of January 2025, roughly 28.3 of all users in the United States belonged to this age group. The social media app was also more likely to be used by women. Most followed accounts on Instagram Instagram’s official account had the most followers as of April 2024 with over 672 million followers. Manchester United forward Cristiano Ronaldo (@cristiano) had over 628 million followers on the platform, while the Argentinian footballer Lionel Messi (@leomessi) had over 502 million followers. The Instagram accounts of the American singer and actress Selena Gomez (@selenagomez) and the media personality and makeup mogul Kylie Jenner (@kyliejenner) had over 400 million followers each.