The Urban Place GIS Coverage of Mexico is a vector based point Geographic Information System (GIS) coverage of 696 urban places in Mexico. Each Urban Place is geographically referenced down to one tenth of a minute. The attribute data include time-series population and selected census/geographic data items for Mexican urban places from from 1921 to 1990. The cartographic data include urban place point locations on a state boundary file of Mexico. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the Instituto Nacional de Estadistica Geografia e Informatica (INEGI) and the Environmental Research Institute (ERI) of Michigan.
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The total population in Mexico was estimated at 129.7 million people in 2023, according to the latest census figures and projections from Trading Economics. This dataset provides - Mexico Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.
The Urban Place Time-Series Population of Mexico contains population counts for more than 700 urban centers every 10 years from 1921 through 1990. The urban centers include metropolitan, conurbation, and city areas with more than 5,000 inhabitants as of 1980. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
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Context
The dataset tabulates the population of Mexico town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Mexico town across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of male population, with 50.34% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Mexico town Population by Race & Ethnicity. You can refer the same here
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Population: Mexico City data was reported at 9,045.719 Person th in 2018. This records an increase from the previous number of 5,436.946 Person th for 2017. Population: Mexico City data is updated yearly, averaging 8,616.773 Person th from Dec 1970 (Median) to 2018, with 49 observations. The data reached an all-time high of 9,062.102 Person th in 2014 and a record low of 5,264.681 Person th in 2015. Population: Mexico City data remains active status in CEIC and is reported by National Population Council. The data is categorized under Global Database’s Mexico – Table MX.G002: Population: by State.
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Context
The dataset tabulates the Mexico population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Mexico. The dataset can be utilized to understand the population distribution of Mexico by age. For example, using this dataset, we can identify the largest age group in Mexico.
Key observations
The largest age group in Mexico, MO was for the group of age 30 to 34 years years with a population of 1,046 (9.11%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Mexico, MO was the 80 to 84 years years with a population of 173 (1.51%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Mexico Population by Age. You can refer the same here
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License information was derived automatically
This dataset is about cities in Mexico. It has 1,687 rows. It features 7 columns including country, population, latitude, and longitude.
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All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name
The 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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This dataset is about countries per year in Mexico. It has 64 rows. It features 4 columns: country, currency, and population.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Mexico by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Mexico. The dataset can be utilized to understand the population distribution of Mexico by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Mexico. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Mexico.
Key observations
Largest age group (population): Male # 0-4 years (107) | Female # 20-24 years (139). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Mexico Population by Gender. You can refer the same here
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This dataset is about countries per year in Mexico. It has 1 row and is filtered where the date is 2023. It features 4 columns: country, capital city, and female population.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries per year in Mexico. It has 64 rows. It features 4 columns: country, country full name, and population.
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.
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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MX: Population: Male: Ages 75-79: % of Male Population data was reported at 1.123 % in 2017. This records an increase from the previous number of 1.084 % for 2016. MX: Population: Male: Ages 75-79: % of Male Population data is updated yearly, averaging 0.665 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 1.123 % in 2017 and a record low of 0.549 % in 1960. MX: Population: Male: Ages 75-79: % of Male Population 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. Male population between the ages 75 to 79 as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about countries per year in Mexico. It has 64 rows. It features 3 columns: country, and male population.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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MX: Population: as % of Total: Male data was reported at 49.791 % in 2017. This records an increase from the previous number of 49.789 % for 2016. MX: Population: as % of Total: Male data is updated yearly, averaging 49.786 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 49.882 % in 1978 and a record low of 49.639 % in 1997. MX: Population: as % of Total: Male 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. Male population is the percentage of the population that is male. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average;
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This dataset is about countries per year in Mexico. It has 64 rows. It features 4 columns: country, land area, and rural population.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset is about countries per year in Mexico. It has 64 rows. It features 4 columns: country, death rate, and female population.
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License information was derived automatically
Mexico MX: Population Living in Slums: % of Urban Population data was reported at 11.100 % in 2014. This records a decrease from the previous number of 14.400 % for 2007. Mexico MX: Population Living in Slums: % of Urban Population data is updated yearly, averaging 17.150 % from Dec 1990 (Median) to 2014, with 6 observations. The data reached an all-time high of 23.100 % in 1990 and a record low of 11.100 % in 2014. Mexico MX: Population Living in Slums: % of Urban Population 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 living in slums is the proportion of the urban population living in slum households. A slum household is defined as a group of individuals living under the same roof lacking one or more of the following conditions: access to improved water, access to improved sanitation, sufficient living area, and durability of housing.; ; UN HABITAT, retrieved from the United Nation's Millennium Development Goals database. Data are available at : http://mdgs.un.org/; Weighted average;
The Urban Place GIS Coverage of Mexico is a vector based point Geographic Information System (GIS) coverage of 696 urban places in Mexico. Each Urban Place is geographically referenced down to one tenth of a minute. The attribute data include time-series population and selected census/geographic data items for Mexican urban places from from 1921 to 1990. The cartographic data include urban place point locations on a state boundary file of Mexico. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the Instituto Nacional de Estadistica Geografia e Informatica (INEGI) and the Environmental Research Institute (ERI) of Michigan.