Chart and table of population level and growth rate for the state of New Mexico from 1900 to 2024.

Map contains the following layers: Populations, 2020 - CTPOP2020 - All race/ethnicity, housing, and population numbers EXCEPT for by age. NM Tribal Boundaries - tl_2020_aiannh20_Merge - Tribal BoundariesNM Counties 2020 - tl_2020_35_county20 - County BoundariesSchool District Boundaries, NM 2020 - tl_2020_35_unsd20 - School District BoundariesACS Population Variables - Boundaries - Population by age, 2015-19 ACSSelected Economic Characteristics, CENSUS TRACT, 2019 - DP03_2019_CT - Meidan Household Income, 2015-19 ACS

About this dataset

Context

The dataset tabulates the data for the Mexico Town, New York population pyramid, which represents the Mexico town population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Mexico Town, New York, is 28.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Mexico Town, New York, is 31.6.
• Total dependency ratio for Mexico Town, New York is 60.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Mexico Town, New York is 3.2.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Mexico town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Mexico town for the selected age group is shown in the following column.
• Population (Female): The female population in the Mexico town for the selected age group is shown in the following column.
• Total Population: The total population of the Mexico town for the selected age group is shown in the following column.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Mexico town Population by Age. You can refer the same here

This map shows the population density in the United States in 2012. Population density is calculated by dividing the total population count of geographic feature by the area of the feature, in square miles. The area is calculated from the geometry of the geographic feature in projected coordinates. The best use of this map is at the larger scales (tracts and block groups).The data shown is from Esri's 2012 Updated Demographics. The map adds increasing level of detail as you zoom in, from state, to county, to ZIP Code, to tract, to block group data. This map shows Esri's 2012 estimates using Census 2010 geographies.The map is designed to be displayed in conjunction with the Canvas basemap with a transparency of 25%. To use it on other basemaps, try a transparency of 25-50%.Information about the USA Population Density map service used in this map is here.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

A dataset listing New Mexico cities by population for 2024.

Resident Population in New Mexico was 2130.25600 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in New Mexico reached a record high of 2130.25600 in January of 2024 and a record low of 196.00000 in January of 1900. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in New Mexico - last updated from the United States Federal Reserve on July of 2025.

U.S. Census Bureau QuickFacts statistics for New Mexico. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

A dataset listing New Mexico counties by population for 2024.

Map made for VIDA storymap, http://nmcdc.maps.arcgis.com/apps/Cascade/index.html?appid=a55bb730dbea4a5da9c706b748b72e44, for question/section 1: "Who lives there?" showing population information in remote census tracts in New Mexico. For more information on remote tracts in this context, please see story map at above link or see details at the source feature layer:Containing Rural areas as defined by US Census 2013 urban/rural defined areas, http://nmcdc.maps.arcgis.com/home/item.html?id=fbd1e91ec0a54c58b6fcca8a5138c1fc. Remote is filtered to include: 'RURAL' in 2 category designation, Population of LESS THAN 5001 persons, AND % Low access low-income at 20 miles to AT LEAST 5%. Map displaying by Esri 2019 Age Dependency Ratios.

U.S. Census Bureau QuickFacts statistics for Silver City town, New Mexico. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

NMCDC Copy of Living Atlas map. Source: https://www.arcgis.com/home/item.html?id=23ab8028f1784de4b0810104cd5d1c8fIllustration by Brian BrenemanThis layer shows population broken down by race and Hispanic origin. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the predominant race living within an area. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2016-2020ACS Table(s): B03002 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: March 17, 2022National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census: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 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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

Compare substantiated child abuse rates to juvenile justice referrals in New Mexico neighborhoods over the period 2007 to 2012.See original map, with more detail:CHILD ABUSE AND NEGLECT IN NEW MEXICONEW MEXICO COMMUNITY DATA COLLABORATIVE http://nmcdc.maps.arcgis.com/home/webmap/viewer.html?webmap=fdaca7647b0740d88538f78e4bfdb52e(For online, child care referral services see: https://www.newmexicokids.org/content/parents_and_families/childcare_search/ )With this map you can explore substantiated child abuse rates and repeat instances of child abuse for each census tract in New Mexico. You can contrast this risks with community assets such as child care, pre-kindergarten access, Head Start centers and. Back ground colors depict FIT clients, , low-income population, children of foreign born and the number of children under 5 years of age in New Mexico census tracts.The layers can be toggled on and off, and details about each site will appear with a left click on the symbol or area on the map. Use controls or the mouse wheel to zoom in and out.*NEW MEXICO COMMUNITY DATA COLLABORATIVE*Master files of these agregated datasets are available in MSExcel - Contact Thomas.Scharmen@state.nm.usSOURCES: Population - 2006-2010 ACS; Child Care Centers - NM CYFD Early Learning Services DivisionHead Start Centers - Early Childhood Learning and Knowledge Center, Health and Human Services Dept Pre-K Centers - NM CYFD Early Learning Services Division, UNM Continuing EducationFIT Client Database - NM DOH Developmental Disabilities Supports DivisionChild Neglect and Abuse - NM CYFD Protective Services DivisionCOLLABORATORS: Will Athas, UNM & NM ELAC; MaryEllen Bearzi, NM CYFD-PSD; Albert Ericson, NMDOH-DDSD; Andrew Gingerich, NM ELAC; Steve Hendrix, NM CYFD-ELSD; Kilko Paz, UNM-NMKids; Tom Scharmen, NMDOH-PHD

Resident Population in Albuquerque, NM (MSA) was 926.30300 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in Albuquerque, NM (MSA) reached a record high of 926.30300 in January of 2024 and a record low of 731.71200 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in Albuquerque, NM (MSA) - last updated from the United States Federal Reserve on July of 2025.

6,72 (persons per sq. km) in 2022.

U.S. Census Bureau QuickFacts statistics for Doña Ana County, New Mexico. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Created using ArcGIS Pro Geoprocessing tools (Create Space Time Cube, Emerging Hot Spot Analysis, and Enrich Layer) and the ArcGIS R Bridge. The EBest function, part of the spdep package was used to calculate an Empirical Bayes smoothed crime rate with 2016 population estimates. This procedure is presented as part of the R-ArcGIS Workflow Demo on GeoNet.Relative Burglary Risk is the natural log (Ln) of the kernel density of burglaries g(x) divided by the kernel density of households g(y) calculated using CrimeStat. Note: Ten months of burglary data (the minimum required) were used for this initial analysis. Also Note: These locations are one-half kilometer square polygons. It will be updated in the future as more data from the Albuquerque Police Department is obtained (see ABQ Data).Please see the web map for another similar way to present these results.More information at (http://www.unm.edu/~lspear/other_nm.html).

U.S. Census Bureau QuickFacts statistics for Catron County, New Mexico. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

U.S. Census Bureau QuickFacts statistics for Crouch Mesa CDP, New Mexico. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

U.S. Census Bureau QuickFacts statistics for Valencia County, New Mexico. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.