Bunn, North Carolina demographics

Bunn, NC demographics: median age 44.5; 17.0% of adults 25+ hold a bachelor’s degree. Age, race, households, languages and education, ACS 2020–2024 with margins of error.

Bunn has 391 residents. Below 1,000, most survey estimates on this page have wide margins of error, so this detail page is kept for reference but not offered to search engines. The main Bunn profile summarizes the measures that can be compared reliably.

ACS 2020–2024 · Bunn town, North Carolina · Incorporated town · GEOID 3708860. The survey estimates a population of 466 for its five-year window. This is separate from the annual July 2025 population estimate on the city overview.

Median age in Bunn is 44.5 years, with a 90% margin of error of 8.5 years. There are 198 households (±76). Age and household distributions show how these totals are composed; they do not establish which neighborhood suits a particular person.

Every count and share is an estimate. “±” is a 90% margin of error (MOE); pp means percentage points. Derived shares use the category count divided by the named universe. Aggregated category MOEs and percentage MOEs are approximate. A margin larger than half its estimate is flagged as low precision. Blank source uncertainty is shown as unavailable, never zero.

Age distribution and sex

City, state and U.S. estimates · ACS 2020–2024
Measure / survey universe City estimate ± MOE State estimate ± MOE U.S. estimate ± MOE
Median age Total population · years 44.5 ±8.5 39.1 ±0.2 38.9 ±0.1
Age groups · B01001 · ACS 2020–2024 Total population: 466
Category Count ± MOE Share ± MOE (pp) North Carolina U.S.
Under 18 111 ±80 · low precision 23.8% ±12.8 pp · low precision 21.8% 22.0%
18–34 38 ±31 · low precision 8.2% ±5.5 pp · low precision 22.9% 22.8%
35–64 204 ±79 43.8% ±27.0 pp · low precision 38.2% 38.0%
65 and older 113 ±53 24.2% ±16.3 pp · low precision 17.2% 17.2%
Sex categories as published by ACS · B01001 · ACS 2020–2024 Total population: 466
Category Count ± MOE Share ± MOE (pp) North Carolina U.S.
Male 208 ±92 44.6% ±29.1 pp · low precision 48.9% 49.5%
Female 258 ±144 · low precision 55.4% ±15.9 pp 51.1% 50.5%

The age groups are mutually exclusive and cover the entire population. The sex categories follow this ACS table’s published classification; they are not a survey of gender identity.

Race and Hispanic origin

Race · B02001 · ACS 2020–2024 Total population: 466
Category Count ± MOE Share ± MOE (pp) North Carolina U.S.
White alone 220 ±110 47.2% ±6.8 pp 61.8% 61.0%
Black or African American alone 114 ±72 · low precision 24.5% ±10.1 pp 20.3% 12.2%
American Indian and Alaska Native alone 7 ±11 · low precision 1.5% ±2.2 pp · low precision 1.1% 0.9%
Asian alone 112 ±149 · low precision 24.0% ±29.8 pp · low precision 3.3% 6.0%
Native Hawaiian and Other Pacific Islander alone 0 ±14 · low precision 0.0% ±3.0 pp · low precision 0.1% 0.2%
Some other race alone 9 ±12 · low precision 1.9% ±2.4 pp · low precision 5.2% 7.1%
Two or more races 4 ±8 · low precision 0.9% ±1.7 pp · low precision 8.3% 12.6%
Hispanic or Latino origin · B03003 · ACS 2020–2024 Total population: 466
Category Count ± MOE Share ± MOE (pp) North Carolina U.S.
Not Hispanic or Latino 457 ±223 98.1% ±9.4 pp 88.7% 80.7%
Hispanic or Latino 9 ±12 · low precision 1.9% ±2.4 pp · low precision 11.3% 19.3%

Hispanic origin and race are separate questions. People of Hispanic or Latino origin may be of any race and appear in both tables. Do not add the Hispanic share to race shares. Race alone and two-or-more-race groups are the mutually exclusive categories of the race table.

Household types, children and living alone

Household types · B11001 · ACS 2020–2024 Households: 198
Category Count ± MOE Share ± MOE (pp) North Carolina U.S.
Married-couple family 80 ±50 · low precision 40.4% ±19.9 pp 47.2% 46.9%
Other family: male householder, no spouse present 0 ±14 · low precision 0.0% ±7.1 pp · low precision 4.6% 5.1%
Other family: female householder, no spouse present 27 ±20 · low precision 13.6% ±8.6 pp · low precision 12.5% 12.2%
Nonfamily: householder living alone 81 ±44 · low precision 40.9% ±15.7 pp 29.4% 28.7%
Nonfamily: householder not living alone 10 ±13 · low precision 5.1% ±6.3 pp · low precision 6.3% 7.0%
Households with children · B11005 · ACS 2020–2024 Households: 198
Category Count ± MOE Share ± MOE (pp) North Carolina U.S.
Households with people under 18 42 ±34 · low precision 21.2% ±15.1 pp · low precision 29.1% 29.5%
Households without people under 18 156 ±65 78.8% ±12.8 pp 70.9% 70.5%
Household size · B11016 · ACS 2020–2024 Households: 198
Category Count ± MOE Share ± MOE (pp) North Carolina U.S.
One-person nonfamily households 81 ±44 · low precision 40.9% ±15.7 pp 29.4% 28.7%
Two-person households 62 ±42 · low precision 31.3% ±17.5 pp · low precision 35.6% 33.8%
Three-person households 26 ±19 · low precision 13.1% ±8.2 pp · low precision 15.6% 15.3%
Four-person households 7 ±15 · low precision 3.5% ±7.6 pp · low precision 11.8% 12.6%
Five-person households 2 ±14 · low precision 1.0% ±7.2 pp · low precision 5.0% 5.9%
Six-person households 0 ±20 · low precision 0.0% ±10.0 pp · low precision 1.8% 2.2%
Seven or more people 20 ±31 · low precision 10.1% ±15.3 pp · low precision 0.9% 1.4%

A family household contains related people under the Census definition. A nonfamily household can contain one person or unrelated people sharing a home. Households with children can also appear in the household-type and size tables, so those tables must not be added together. Household estimates exclude people living in group quarters from the household universe.

Nativity and languages spoken at home

Nativity · B05002 · ACS 2020–2024 Total population: 466
Category Count ± MOE Share ± MOE (pp) North Carolina U.S.
Native 433 ±196 92.9% ±61.2 pp · low precision 90.9% 85.9%
Foreign born 33 ±43 · low precision 7.1% ±8.6 pp · low precision 9.1% 14.1%
Language spoken at home · C16001 · ACS 2020–2024 Population age 5 and older: 430
Category Count ± MOE Share ± MOE (pp) North Carolina U.S.
English only 336 ±138 78.1% ±47.7 pp · low precision 86.5% 77.7%
Spanish 9 ±12 · low precision 2.1% ±2.6 pp · low precision 8.7% 13.6%
French, Haitian, or Cajun 0 ±14 · low precision 0.0% ±3.3 pp · low precision 0.4% 0.7%
German or other West Germanic 0 ±14 · low precision 0.0% ±3.3 pp · low precision 0.3% 0.5%
Russian, Polish, or other Slavic 2 ±3 · low precision 0.5% ±0.7 pp · low precision 0.3% 0.7%
Other Indo-European 0 ±14 · low precision 0.0% ±3.3 pp · low precision 1.2% 2.0%
Korean 0 ±14 · low precision 0.0% ±3.3 pp · low precision 0.2% 0.3%
Chinese, including Mandarin and Cantonese 83 ±113 · low precision 19.3% ±24.8 pp · low precision 0.4% 1.1%
Vietnamese 0 ±14 · low precision 0.0% ±3.3 pp · low precision 0.3% 0.5%
Tagalog, including Filipino 0 ±14 · low precision 0.0% ±3.3 pp · low precision 0.2% 0.6%
Other Asian and Pacific Island 0 ±14 · low precision 0.0% ±3.3 pp · low precision 0.9% 1.1%
Arabic 0 ±14 · low precision 0.0% ±3.3 pp · low precision 0.3% 0.5%
Other and unspecified 0 ±14 · low precision 0.0% ±3.3 pp · low precision 0.5% 0.8%

Foreign born means not a U.S. citizen at birth; it includes naturalized citizens. Language categories describe speech at home among people age five and older. A language other than English at home does not establish that someone cannot speak English. This city page uses the published C16001 summary categories because the more detailed B16001 table does not provide these city records in this release.

Educational attainment

Highest completed education · B15003 · ACS 2020–2024 Population age 25 and older: 342
Category Count ± MOE Share ± MOE (pp) North Carolina U.S.
Less than high school graduate 52 ±53 · low precision 15.2% ±14.2 pp · low precision 9.9% 10.4%
High school graduate or equivalency 93 ±56 · low precision 27.2% ±11.8 pp 24.8% 26.0%
Some college, no degree 100 ±47 29.2% ±5.8 pp 19.6% 19.1%
Associate’s degree 39 ±44 · low precision 11.4% ±11.9 pp · low precision 10.1% 8.8%
Bachelor’s degree 48 ±43 · low precision 14.0% ±11.1 pp · low precision 22.2% 21.6%
Graduate or professional degree 10 ±17 · low precision 2.9% ±4.7 pp · low precision 13.5% 14.1%

The denominator excludes residents under 25. Each person is counted in the highest attainment category they completed. This table does not measure the quality of local schools or the education level of every current student.

Residence one year earlier

Geographic mobility · B07003 · ACS 2020–2024 Population age 1 and older: 465
Category Count ± MOE Share ± MOE (pp) North Carolina U.S.
Same house 448 ±221 96.3% ±11.1 pp 87.3% 87.7%
Moved within same county 11 ±12 · low precision 2.4% ±2.3 pp · low precision 5.5% 6.3%
Moved from a different county in the same state 1 ±5 · low precision 0.2% ±1.1 pp · low precision 3.6% 3.1%
Moved from a different state 5 ±10 · low precision 1.1% ±2.1 pp · low precision 3.0% 2.3%
Moved from abroad 0 ±14 · low precision 0.0% ±3.0 pp · low precision 0.6% 0.6%

These are respondents’ residence patterns one year before their survey response, pooled across the five-year window. They are not a net migration count for 2025. A person can move to a different house within the same city or county; moves within the same county should not automatically be interpreted as new arrivals to the city.

Health insurance, internet access and veterans

13.7% of Bunn residents (±11.0 percentage points) had no health insurance coverage when surveyed, compared with 9.9% in North Carolina and 8.4% nationally. 72.2% of households subscribe to broadband of any type, including cellular data plans. A subscription is not the same as available service: the FCC National Broadband Map shows providers at a specific address.

City, state and U.S. shares · ACS 2020–2024
Measure Bunn North Carolina U.S. Compared with North Carolina
People without health insurance Civilian noninstitutionalized population 13.7% ±11.0 pp · low precision 9.9% 8.4% Not statistically different
Households with a broadband subscription Households 72.2% ±18.5 pp 90.1% 91.0% Not statistically different
Veterans Civilian population age 18 and older 6.5% ±3.7 pp · low precision 7.4% 6.2% Not statistically different

Reading and reusing the estimates

The Census table links above lead to the original detailed tables. Counts, source universes and uncertainty are retained in the source observation download for Bunn . Compare these figures with the same survey window; do not compare one city’s five-year estimate with another city’s annual estimate as though they measured the same period. For methods, see uncertainty and denominator calculations.

Read Bunn housing and cost context or return to the city profile.

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