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Arizona by county: Census 2020–2024

Every adult in Arizona, 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.

15 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.

La Paz County: 14,175 adults (0.2%)Santa Cruz County: 36,320 adults (0.6%)Apache County: 48,358 adults (0.8%)Cochise County: 99,676 adults (1.7%)Coconino County: 116,274 adults (2.0%)Navajo County: 81,052 adults (1.4%)Gila County: 43,767 adults (0.8%)Graham County: 29,108 adults (0.5%)Greenlee County: 7,013 adults (0.1%)Maricopa County: 3,535,491 adults (61.1%)Mohave County: 184,919 adults (3.2%)Yavapai County: 207,699 adults (3.6%)Yuma County: 159,745 adults (2.8%)Pinal County: 368,097 adults (6.4%)Pima County: 852,768 adults (14.7%)
7,0133,535,491adults, on a log scale

Error report

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

5,784,462 adults · 285,663 Census records · 15 counties in 8 areas (metro areas and the rest of the state)

Built 2026-10-09 · records arizona-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
Education0.2
Household income0.4
Work0.4
Owned or rented home0.2
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 0.3 points from the Census's own figure; 95% of counties within 4.5, the worst 4.5.

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 ethnicity0.31.30.00.4
Education1.34.70.31.6
Household income0.62.80.10.7

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 17.4, worst 41.8median 3.1, worst 10.8
The same, with priors that never saw anyone from Arizonamedian 17.3, worst 39.2median 3.5, worst 12.0

Leans against Arizona's own survey respondents

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

DemocraticRepublicanNeitherTurnout
Model40%40%20%
CES Arizona (n=1,485)36%45%19%
Priors that never saw anyone from Arizona, applied to its 1,470 citizen respondents44%37%19%57%
CES Arizona, citizens (n=1,470)36%45%19%62%

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 (15)
CountyAreaAdultsCensus gapVeterans (Census / people)Turnout 2024Margin: result / demographics alone
ApacheSmall towns and rural Arizona48,3580.15% / 6%68%+19 / −21
CochiseSierra Vista-Douglas99,6760.417% / 16%63%−23 / −8
CoconinoFlagstaff116,2740.26% / 6%63%+20 / −3
GilaSmall towns and rural Arizona43,7670.111% / 10%65%−37 / −20
GrahamSmall towns and rural Arizona29,1080.16% / 7%54%−48 / −12
GreenleeSmall towns and rural Arizona7,0130.38% / 7%49%−41 / −6
La PazSmall towns and rural Arizona14,1750.418% / 17%58%−44 / −25
MaricopaPhoenix-Mesa-Chandler3,535,4910.47% / 7%64%−3 / −3
MohaveLake Havasu City-Kingman184,9190.412% / 13%62%−55 / −22
NavajoSmall towns and rural Arizona81,0520.38% / 8%64%−17 / −19
PimaTucson852,7680.39% / 9%65%+15 / −2
PinalPhoenix-Mesa-Chandler368,0970.310% / 10%61%−22 / −11
Santa CruzSmall towns and rural Arizona36,3200.44% / 9%65%+18 / +7
YavapaiPrescott Valley-Prescott207,6990.411% / 11%75%−34 / −17
YumaYuma159,7450.49% / 9%51%−20 / −5

Sources

Records
ACS PUMS 2020–2024 5-year, Arizona, 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.