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New Hampshire by county: Census 2020–2024

Every adult in New Hampshire, 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.

10 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.

Belknap County: 53,470 adults (4.7%)Carroll County: 44,173 adults (3.9%)Cheshire County: 63,537 adults (5.6%)Coos County: 26,257 adults (2.3%)Grafton County: 77,706 adults (6.8%)Hillsborough County: 342,682 adults (30.0%)Merrimack County: 127,310 adults (11.2%)Rockingham County: 260,119 adults (22.8%)Strafford County: 109,176 adults (9.6%)Sullivan County: 35,958 adults (3.2%)
26,257342,682adults, on a log scale

Error report

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

1,140,388 adults · 58,092 Census records · 10 counties in 3 areas (metro areas and the rest of the state)

Built 2026-10-10 · records new-hampshire-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 age0.3
Race and ethnicity0.2
Education0.3
Household income0.2
Work0.1
Owned or rented home0.1
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 1.5, the worst 1.5.

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 ethnicity0.10.20.00.0
Education0.61.20.00.1
Household income0.20.40.00.1

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 Northeast) 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 7.3, worst 13.7median 1.4, worst 4.9
The same, with priors that never saw anyone from New Hampshiremedian 7.4, worst 13.7median 1.4, worst 4.8

Leans against New Hampshire's own survey respondents

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

DemocraticRepublicanNeitherTurnout
Model45%40%15%
CES New Hampshire (n=292)49%34%17%
Priors that never saw anyone from New Hampshire, applied to its 288 citizen respondents45%39%16%64%
CES New Hampshire, citizens (n=288)49%34%17%65%

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 (10)
CountyAreaAdultsCensus gapVeterans (Census / people)Turnout 2024Margin: result / demographics alone
BelknapSmall towns and rural New Hampshire53,4700.210% / 9%77%−13 / −1
CarrollSmall towns and rural New Hampshire44,1730.39% / 11%79%−2 / −1
CheshireSmall towns and rural New Hampshire63,5370.17% / 7%72%+10 / +1
CoosSmall towns and rural New Hampshire26,2570.310% / 10%67%−14 / −6
GraftonSmall towns and rural New Hampshire77,7060.27% / 8%74%+20 / +6
HillsboroughManchester-Nashua342,6820.27% / 7%72%+3 / +4
MerrimackSmall towns and rural New Hampshire127,3100.28% / 8%74%+5 / +3
RockinghamBoston-Cambridge-Newton260,1190.27% / 8%80%−2 / +3
StraffordBoston-Cambridge-Newton109,1760.37% / 7%72%+12 / +4
SullivanSmall towns and rural New Hampshire35,9580.210% / 9%71%−1 / −2

Sources

Records
ACS PUMS 2020–2024 5-year, New Hampshire, 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 Northeast, 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.