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New Mexico by county: Census 2020–2024

Every adult in New Mexico, as the Census counts them, county by county and grouped by metro area. Each person is a real combination of traits from the Census's anonymised person records, weighted so every county matches its published tables, with party lean and 2024 turnout modelled and labelled so.

33 places, by metro area / county · Team plan

Every plan can look; creating a population from a state by county or by município needs Team.

What each person has

County by county

Adults in each county: darker has more. Point at a county for its numbers.

Bernalillo County: 537,181 adults (32.4%)Catron County: 3,513 adults (0.2%)Chaves County: 48,418 adults (2.9%)Cibola County: 20,612 adults (1.2%)Colfax County: 10,162 adults (0.6%)Curry County: 35,001 adults (2.1%)De Baca County: 1,274 adults (0.1%)Doña Ana County: 172,351 adults (10.4%)Eddy County: 45,346 adults (2.7%)Grant County: 22,801 adults (1.4%)Guadalupe County: 3,405 adults (0.2%)Harding County: 553 adults (0.0%)Hidalgo County: 3,179 adults (0.2%)Lea County: 51,979 adults (3.1%)Lincoln County: 16,855 adults (1.0%)Los Alamos County: 15,157 adults (0.9%)Luna County: 19,000 adults (1.1%)McKinley County: 51,355 adults (3.1%)Mora County: 3,439 adults (0.2%)Otero County: 53,762 adults (3.2%)Quay County: 6,883 adults (0.4%)Rio Arriba County: 31,054 adults (1.9%)Roosevelt County: 14,183 adults (0.9%)Sandoval County: 120,213 adults (7.2%)San Juan County: 90,777 adults (5.5%)San Miguel County: 22,322 adults (1.3%)Santa Fe County: 131,028 adults (7.9%)Sierra County: 9,705 adults (0.6%)Socorro County: 12,317 adults (0.7%)Taos County: 29,143 adults (1.8%)Torrance County: 12,356 adults (0.7%)Union County: 3,157 adults (0.2%)Valencia County: 60,624 adults (3.7%)
553537,181adults, on a log scale

Error report

How close these people come to the published figures, and where they fall short.

1,659,105 adults · 79,142 Census records · 33 counties in 5 areas (metro areas and the rest of the state)

Built 2026-10-10 · records new-mexico-2024-v1

How close the people land on the Census

Each county's records are weighted until they match its American Community Survey tables. The figure is the worst county's largest gap on each table, in percentage points.

TableWorst county
Sex by age0.4
Race and ethnicity0.4
Education0.5
Household income0.3
Work0.2
Owned or rented home0.4
Citizenship0.0

A check left out of the fit: veterans

Veteran status was not used in weighting, so it shows how well the weighted people carry traits nobody fitted. Per county, the share of veterans among civilian adults lands a median 0.9 points from the Census's own figure; 95% of counties within 5.2, the worst 8.7.

What drawing a population adds

A population is a sample of these weighted people, so small counties vary from draw to draw. Largest gap per county between the people drawn and the county's records, counties with at least 30 people.

Trait10,000 people100,000 people
Median95% of counties withinMedian95% of counties within
Race and ethnicity0.40.90.00.4
Education1.75.80.22.6
Household income0.82.50.11.4

Party lean and 2024 turnout (modelled)

No Census record says how anyone votes, so these two traits are modelled. Each person starts from what Cooperative Election Study 2024 respondents like them (race, age, education and sex, in the Census West) said and did, with turnout checked against the voter file. Each county is then calibrated so its people's turnout and Democratic-minus-Republican margin match its 2024 presidential result (MIT Election Lab). Those results count votes for president, so turnout runs a point or so under ballots cast.

CheckMarginTurnout
Each county against its 2024 result (calibrated)median 0.0, worst 0.0median 0.0, worst 0.0
Demographics alone, given only the statewide resultmedian 24.7, worst 67.5median 4.2, worst 15.5
The same, with priors that never saw anyone from New Mexicomedian 24.2, worst 67.5median 4.1, worst 15.6

Leans against New Mexico's own survey respondents

Nothing was fitted to these: the share of each lean among New Mexico's adults, as modelled and as the CES's New Mexico respondents gave it.

DemocraticRepublicanNeitherTurnout
Model43%35%22%
CES New Mexico (n=420)45%32%23%
Priors that never saw anyone from New Mexico, applied to its 419 citizen respondents42%36%22%55%
CES New Mexico, citizens (n=419)45%32%23%56%

The county totals are right by construction: that is what calibration does. The honest test is the people alone, in the table above: given only the statewide result, how far each county's people land from its margin. Counties that vote very differently from people like them elsewhere in the region land furthest; the map shows where.

Within a county, calibration moves everyone's lean by the same factor, so lean by race inside one county is the weakest part. In the smallest counties the Census's five-year estimates carry wide margins, and where more presidential votes were cast than the estimate of citizens, turnout is held at 98%.

Use these traits to include or compare groups. They are not anyone's stated party, and results are never polls of real people.

Every county (33)
CountyAreaAdultsCensus gapVeterans (Census / people)Turnout 2024Margin: result / demographics alone
BernalilloAlbuquerque537,1810.28% / 8%62%+21 / +10
CatronSmall towns and rural New Mexico3,5130.318% / 18%68%−50 / −10
ChavesSmall towns and rural New Mexico48,4180.47% / 9%50%−45 / +4
CibolaSmall towns and rural New Mexico20,6120.38% / 7%44%+2 / −4
ColfaxSmall towns and rural New Mexico10,1620.28% / 12%59%−14 / +0
CurrySmall towns and rural New Mexico35,0010.212% / 9%48%−43 / +6
De BacaSmall towns and rural New Mexico1,2740.45% / 14%68%−51 / +3
Doña AnaLas Cruces172,3510.47% / 8%55%+10 / +13
EddySmall towns and rural New Mexico45,3460.37% / 6%55%−56 / +3
GrantSmall towns and rural New Mexico22,8010.210% / 13%64%+5 / +3
GuadalupeSmall towns and rural New Mexico3,4050.37% / 9%61%+1 / +11
HardingSmall towns and rural New Mexico5530.216% / 13%77%−40 / −2
HidalgoSmall towns and rural New Mexico3,1790.26% / 11%61%−23 / +1
LeaSmall towns and rural New Mexico51,9790.53% / 4%50%−62 / +6
LincolnSmall towns and rural New Mexico16,8550.210% / 14%62%−38 / −2
Los AlamosSmall towns and rural New Mexico15,1570.37% / 6%84%+30 / +12
LunaSmall towns and rural New Mexico19,0000.27% / 10%48%−19 / +3
McKinleySmall towns and rural New Mexico51,3550.24% / 5%51%+25 / −15
MoraSmall towns and rural New Mexico3,4390.49% / 7%73%+17 / +17
OteroSmall towns and rural New Mexico53,7620.215% / 11%48%−27 / +1
QuaySmall towns and rural New Mexico6,8830.311% / 11%54%−41 / −2
Rio ArribaSmall towns and rural New Mexico31,0540.16% / 6%55%+19 / +8
RooseveltSmall towns and rural New Mexico14,1830.49% / 9%50%−43 / +3
SandovalAlbuquerque120,2130.310% / 10%68%+6 / +4
San JuanFarmington90,7770.26% / 7%60%−32 / −9
San MiguelSmall towns and rural New Mexico22,3220.27% / 7%50%+28 / +15
Santa FeSanta Fe131,0280.37% / 7%69%+49 / +8
SierraSmall towns and rural New Mexico9,7050.316% / 15%65%−19 / −11
SocorroSmall towns and rural New Mexico12,3170.27% / 10%61%−4 / +1
TaosSmall towns and rural New Mexico29,1430.37% / 7%59%+47 / +6
TorranceAlbuquerque12,3560.411% / 11%60%−38 / −3
UnionSmall towns and rural New Mexico3,1570.26% / 10%54%−52 / −5
ValenciaAlbuquerque60,6240.39% / 9%59%−16 / +6

Sources

Records
ACS PUMS 2020–2024 5-year, New Mexico, adults 18+
Tables
ACS 2020–2024 5-year tables B01001, B01001B/D/H/I, B15001, B19001, B23025, B25008, B26001; out of sample: B21001
Geography
2020 Census tract to 2020 PUMA relationship file; tract population B01003; metro areas, OMB delineation of July 2023
Citizenship
ACS 2020–2024 5-year table B05003 (raked)
Party lean
Modelled. Priors: Cooperative Election Study 2024 common content (Harvard Dataverse doi:10.7910/DVN/X11EP6, CC0), citizen respondents in the Census West, validated 2024 vote and 7-point party ID with leaners as partisans. Calibration: 2024 county presidential returns, MIT Election Data and Science Lab (Harvard Dataverse doi:10.7910/DVN/VOQCHQ, CC0), presidential votes standing in for ballots cast.
New Mexico by county: Census 2020–2024 · Voxari Studio