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TwitterWorldPop 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.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)
-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel,
adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
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/WP00674
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical dataset showing Mexico population density by year from 1961 to 2022.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Mexico MX: Population Density: People per Square Km data was reported at 66.444 Person/sq km in 2017. This records an increase from the previous number of 65.609 Person/sq km for 2016. Mexico MX: Population Density: People per Square Km data is updated yearly, averaging 43.056 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 66.444 Person/sq km in 2017 and a record low of 20.265 Person/sq km in 1961. Mexico MX: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.; ; Food and Agriculture Organization and World Bank population estimates.; Weighted average;
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TwitterIn 2020, the total population of Mexico City reached 9.2 million and a population density of 6,163.3 residents by square kilometer. Population density has grown considerably in the country's capital during the past few decades, as it stood at 5,494 inhabitants per square meter in 1990.
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License information was derived automatically
Mexico Population Density data was reported at 61.000 Person/sq km in 2015. This records an increase from the previous number of 57.300 Person/sq km for 2010. Mexico Population Density data is updated yearly, averaging 51.250 Person/sq km from Dec 1990 (Median) to 2015, with 6 observations. The data reached an all-time high of 61.000 Person/sq km in 2015 and a record low of 41.000 Person/sq km in 1990. Mexico Population Density data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G003: Population Density.
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TwitterThe population density in Mexico stood at 66.16 people in 2022. In a steady upward trend, the population density rose by 46.67 people from 1961.
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TwitterThis map shows the population density of Mexico in relation to freshwater sources and water bodies.
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TwitterThe GIS of Mexican States, Municipalities and Islands consists of attribute and boundary data for 1990. The attribute data include population, language, education, literacy, housing Units and land cover classification from the 1990 Mexican population and housing census. The boundary data associated with the United States-Mexico border are consistent with the U.S. Census Bureau TIGER95 data. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Mexico MX: Population Density: Inhabitants per sq km data was reported at 66.940 Person in 2022. This records an increase from the previous number of 66.350 Person for 2021. Mexico MX: Population Density: Inhabitants per sq km data is updated yearly, averaging 55.120 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 66.940 Person in 2022 and a record low of 43.300 Person in 1990. Mexico MX: Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Mexico – Table MX.OECD.GGI: Social: Demography: OECD Member: Annual.
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Comprehensive socio-economic dataset for Mexico including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.
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TwitterIn the year 2020, Mazahua stood out as the predominant indigenous language among the prominent ones spoken in Mexico State, with a count over ******* people proficient in the language. Not far behind was Otomi, with a significant number of ******* speakers.
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TwitterIn 2020, population of Mexico City reached 9.2 million, accounting for around seven percent of the total Mexican population. Over the timespan of 30 years, the number of inhabitants in the country's capital grew approximately by 974,000 persons.
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This dataset collects information on municipal expenditures, water-sewerage-and trash collection service coverage, and basic socioeconomic characteristics at municipal level, for two census waves (2000; 2010) for all municipalities of Brazil, Chile, and Mexico.
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TwitterThis map shows the population density of Mexico in relation to freshwater sources and water bodies.
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TwitterThe services sector employed the largest share of workers in Mexico City as of the second quarter of 2024, with 64.93 percent. The commerce industry ranked second, with about 20 percent of employed population in the country's capital working in this sector.
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Institutional Biosafety Committees from Mexico 2009-mid 2023. The data included here shows the registered IBCs in Mexico from 2009 to mid 2023 and their institutional profile. For comparison, the number of IBCs from Brazil 2024, Pakistan 2024 and the USA 2022 and sociodemographic data for all these countries (population, population density, state GDP (GSP), Human development Index (2021) is also included.
State GDP shows a significant correlation with the number of IBCs registered in each state for all the countries tested, whereas HDI shows no correlation at all. For population and population density, the results are not so consistent and require further research.
All these data come from public databases and public requests of information to respective authorities.
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TwitterFrom the year 2015 to 2020 there has been an increase in the population density in Guadalajara, Mexico. During the last year, the city had around 9,658 inhabitants per square meter, while five years prior the density was lower than 9,180 inhabitants.
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TwitterTwo out of every three persons in Chiapas lived under the poverty line in 2022, making it the federal entity with the largest share of poor population in Mexico. On average, about 36 percent of the Mexican population was living in poverty that year.
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TwitterThe Global Human Footprint dataset of the Last of the Wild Project, version 2, 2005 (LWPv2) is the Human Influence Index (HII) normalized by biome and realm. The HII is a global dataset of 1 km grid cells, created from nine global data layers covering human population pressure (population density), human land use and infraestructure (built-up areas, nighttime lights, land use/land cover) and human access (coastlines, roads, navigable rivers).The Human Footprint Index (HF) map, expresses as a percentage the relative human influence in each terrestrial biome. HF values from 0 to 100. A value of zero represents the least influence -the "most wild" part of the biome with value of 100 representing the most influence (least wild) part of the biome.
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TwitterClimate change, urbanization, and global trade have contributed to the recent spread of dengue viruses. In this study, we investigate the relationship between dengue occurrence in humans, climate factors (temperature and minimum quarterly rainfall), socio-economic factors (such as household income, regional rates of education, regional unemployment, housing overcrowding, life expectancy, and medical resources), and demographic factors (such as migration flows, age structure of the population, and population density). From a geographical perspective, this study focuses on Mexico and parts of the United States to exploit similarity in climate conditions and differences in socio-economic and demographic factors, so as to try to isolate the role of the latter. Areas at risk of dengue are first selected based on the predicted presence of at least one of the two mosquito vectors responsible for dengue's transmission: Aedes aegypti and Aedes albopictus. The presence of the mosquito in a region...
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TwitterWorldPop 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.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)
-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel,
adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
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/WP00674