The Latin America and the Caribbean Population Time Series data set provides total population estimates using spatially consistent and comparable Units for Latin American municipalities or equivalent administrative Units for the years 1990 and 2000. The data set consists of two vector polygon layers: one layer displays population estimates for subnational administrative Units in 1990 and 2000, including population counts, density, and percent change, at the municipality level or equivalent (level 2); a second layer summarizes this information at the country level (level 0).

As of 2023, the largest segment of the population in Latin America falls within the age group of 19 to 30 years, which consists of the youth population. This age range comprises approximately 127.9 million individuals across the countries encompassing the region.

The Latin America and the Caribbean Population Time Series data set provides total population estimates using spatially consistent and comparable Units for Latin American municipalities or equivalent administrative Units for the years 1990 and 2000. The data set consists of two vector polygon layers: one layer displays population estimates for subnational administrative Units in 1990 and 2000, including population counts, density, and percent change, at the municipality level or equivalent (level 2); a second layer summarizes this information at the country level (level 0).

The annual population growth in Latin America & the Caribbean remained the same in 2024 in comparison to the previous year. In total, the population growth amounted to 0.69 percent in 2024. Population growth refers to the annual change in population, and is based on the balance between birth and death rates, as well as migration.

The population of Latin America and the Caribbean increased from 175 million in 1950 to 515 million in 2000. Where did this growth occur? What is the magnitude of change in different places? How can we visualize the geographic dimensions of population change in Latin America and the Caribbean? We compiled census and other public domain information to analyze both temporal and geographic changes in population in the region. Our database includes population totals for over 18,300 administrative districts within Latin America and the Caribbean. Tabular census data was linked to an administrative division map of the region and handled in a geographic information system. We transformed vector population maps to raster surfaces to make the digital maps comparable with other commonly available geographic information. Validation and error-checking analyses were carried out to compare the database with other sources of population information. The digital population maps created in this project have been put in the public domain and can be downloaded from our website. The Latin America and Caribbean map is part of a larger multi-institutional effort to map population in developing countries. This is the third version of the Latin American and Caribbean population database and it contains new data from the 2000 round of censuses and new and improved accessibility surfaces for creating the raster maps.

Graph and download economic data for Population, Total: All Income Levels for Latin America and Caribbean (SPPOPTOTLLCN) from 1960 to 2024 about Caribbean Economies, Latin America, income, and population.

The statistic shows age distribution in Latin America & Caribbean between 2014 to 2024. In 2024, around 22.51 percent of the population of Latin America & Caribbean was between 0 and 14 years old, 67.65 percent was between 15 and 64 and 9.84 percent was 65 years old and over.

Data from the Oak Ridge National Laboratory, LandScan Global Population 1998 Database. The LandScan Global Population Project is a worldwide population database at 30 x 30 (arc second) resolution for estimating ambient populations at risk. Best available census counts are distributed to cells based on probability coefficients which, in turn, are based on road proximity, slope, land cover, and nighttime lights. Global coverage has been completed. Verification and validation (V&V) studies have been conducted routinely for all regions and more extensively for portions of the Middle East and the Southwestern United States. Data-set has been exported as Binary format.

The average for 2021 based on 12 countries was 25 people per square km. The highest value was in Ecuador: 72 people per square km and the lowest value was in Guyana: 4 people per square km. The indicator is available from 1961 to 2021. Below is a chart for all countries where data are available.

Historical dataset showing Latin America & Caribbean population density by year from 1961 to 2022.

The average for 2024 based on 20 countries was 32.16 million. The highest value was in Brazil: 212 million and the lowest value was in Puerto Rico: 3.2 million. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

Graph and download economic data for Population Ages 15 to 64: All Income Levels for Latin America and Caribbean (SPPOP1564TOZSLCN) from 1960 to 2024 about Caribbean Economies, Latin America, 15 to 64 years, income, and population.

DATA DESCRIPTION: Version 2.0 estimates of total number of people per grid square for five timepoints between 2000 and 2020 at five year intervals; national totals have been adjusted to match UN Population Division estimates for each time point(1) REGION: Latin America and the Caribbean SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - LAC_PPP_2010_adj_v2.tif = Latin America and the Caribbean (LAC) population dataset presenting people per pixel (PPP) for 2010, adjusted to match UN national estimates (adj), dataset version 2.0 (v2) DATASET CONSTRUCTION DETAILS: This dataset is a mosaic of all WorldPop country level LAC datasets resampled to 1km resolution. The continental grouping of countries honours the macro geographical classification developed and maintained by the United Nations Statistics Division(2). For countries within each continental group which have not been mapped by WorldPop, GPWv4 1km population count data(3) was used to complete the mosaic. Full details of WorldPop population mapping methodologies are described here: www.worldpop.org.uk/data/methods/ DATE OF PRODUCTION: November 2016 Also included: (i) csv table describing the data source of the modelled population data for each country dataset (either WorldPop or GPWv4) which featured in the continental raster mosaic. _ (1) United Nations Population Division, WorldPopulation Prospects, 2015 Revision. http://esa.un.org/wpp/ (2) United Nations Statistics Division. http://unstats.un.org/unsd/methods/m49/m49regin.htm (3) Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. Gridded Population of the World, Version 4 (GPWv4): Population Count. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4X63JVC. Accessed 30 Sept 2016

Historical dataset showing Latin America & Caribbean urban population by year from 1960 to 2023.

Our Population Density Grid Dataset for South America offers detailed, grid-based insights into the distribution of population across cities, towns, and rural areas. Free to explore and visualize, this dataset provides an invaluable resource for businesses and researchers looking to understand demographic patterns and optimize their location-based strategies.

By creating an account, you gain access to advanced tools for leveraging this data in geomarketing applications. Perfect for OOH advertising, retail planning, and more, our platform allows you to integrate population insights with your business intelligence, enabling you to make data-driven decisions for your marketing and expansion strategies.

Key Table Information.Table Title.Selected Characteristics of the Foreign-Born Population by Region of Birth: Latin America.Table ID.ACSST1Y2024.S0506.Survey/Program.American Community Survey.Year.2024.Dataset.ACS 1-Year Estimates Subject Tables.Source.U.S. Census Bureau, 2024 American Community Survey, 1-Year Estimates.Dataset Universe.The dataset universe of the American Community Survey (ACS) is the U.S. resident population and housing. For more information about ACS residence rules, see the ACS Design and Methodology Report. Note that each table describes the specific universe of interest for that set of estimates..Methodology.Unit(s) of Observation.American Community Survey (ACS) data are collected from individuals living in housing units and group quarters, and about housing units whether occupied or vacant. For more information about ACS sampling and data collection, see the ACS Design and Methodology Report..Geography Coverage.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year.Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Sampling.The ACS consists of two separate samples: housing unit addresses and group quarters facilities. Independent housing unit address samples are selected for each county or county-equivalent in the U.S. and Puerto Rico, with sampling rates depending on a measure of size for the area. For more information on sampling in the ACS, see the Accuracy of the Data document..Confidentiality.The Census Bureau has modified or suppressed some estimates in ACS data products to protect respondents' confidentiality. Title 13 United States Code, Section 9, prohibits the Census Bureau from publishing results in which an individual's data can be identified. For more information on confidentiality protection in the ACS, see the Accuracy of the Data document..Technical Documentation/Methodology.Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables.Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Weights.ACS estimates are obtained from a raking ratio estimation procedure that results in the assignment of two sets of weights: a weight to each sample person record and a weight to each sample housing unit record. Estimates of person characteristics are based on the person weight. Estimates of family, household, and housing unit characteristics are based on the housing unit weight. For any given geographic area, a characteristic total is estimated by summing the weights assigned to the persons, households, families or housing units possessing the characteristic in the geographic area. For more information on weighting and estimation in the ACS, see the Accuracy of the Data document.Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the na...

Trinidad and Tobago administrative levels 0 (country) and 1 (regional corporation or municipality) population statistics

REFERENCE YEAR: 2011

INTERIM version combining Tobago parishes into one municipality (P-code TT90) for compatibility with the COD-AB.

These CSV tables are suitable for database or GIS linkage to the Trinidad and Tobago administrative level 0-1 boundaries shapefiles.

Graph and download economic data for Refugee Population by Country or Territory of Asylum for Latin America and Caribbean (SMPOPREFGLCN) from 1990 to 2023 about Caribbean Economies, refugee, Latin America, World, and population.

Graph and download economic data for Population Ages 0 to 14 for Developing Countries in Latin America and Caribbean (SPPOP0014TOZSLAC) from 1960 to 2024 about Caribbean Economies, 0 to 14 years, Latin America, and population.

The average for 2024 based on 20 countries was 76.97 percent. The highest value was in Uruguay: 95.85 percent and the lowest value was in Guatemala: 53.54 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.