North, South Carolina demographics

North, SC demographics: median age 54.8; 7.3% of adults 25+ hold a bachelor’s degree. Age, race, households, languages and education, ACS 2020–2024 with margins of error.

North has 670 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 North profile summarizes the measures that can be compared reliably.

ACS 2020–2024 · North town, South Carolina · Incorporated town · GEOID 4550560. The survey estimates a population of 675 for its five-year window. This is separate from the annual July 2025 population estimate on the city overview.

Median age in North is 54.8 years, with a 90% margin of error of 17.4 years. There are 302 households (±98). 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 54.8 ±17.4 40.2 ±0.2 38.9 ±0.1
Age groups · B01001 · ACS 2020–2024 Total population: 675
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Under 18 151 ±75 22.4% ±7.7 pp 21.4% 22.0%
18–34 110 ±57 · low precision 16.3% ±6.2 pp 22.0% 22.8%
35–64 243 ±111 36.0% ±10.3 pp 37.7% 38.0%
65 and older 171 ±57 25.3% ±12.4 pp 18.9% 17.2%
Sex categories as published by ACS · B01001 · ACS 2020–2024 Total population: 675
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Male 372 ±168 55.1% ±15.1 pp 48.7% 49.5%
Female 303 ±113 44.9% ±4.6 pp 51.3% 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: 675
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
White alone 343 ±173 · low precision 50.8% ±18.0 pp 63.3% 61.0%
Black or African American alone 329 ±185 · low precision 48.7% ±21.1 pp 24.8% 12.2%
American Indian and Alaska Native alone 1 ±3 · low precision 0.1% ±0.4 pp · low precision 0.4% 0.9%
Asian alone 0 ±14 · low precision 0.0% ±2.1 pp · low precision 1.8% 6.0%
Native Hawaiian and Other Pacific Islander alone 0 ±14 · low precision 0.0% ±2.1 pp · low precision 0.1% 0.2%
Some other race alone 0 ±14 · low precision 0.0% ±2.1 pp · low precision 2.8% 7.1%
Two or more races 2 ±4 · low precision 0.3% ±0.6 pp · low precision 6.8% 12.6%
Hispanic or Latino origin · B03003 · ACS 2020–2024 Total population: 675
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Not Hispanic or Latino 660 ±240 97.8% ±5.9 pp 92.6% 80.7%
Hispanic or Latino 15 ±24 · low precision 2.2% ±3.5 pp · low precision 7.4% 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: 302
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Married-couple family 83 ±45 · low precision 27.5% ±11.9 pp 47.1% 46.9%
Other family: male householder, no spouse present 26 ±33 · low precision 8.6% ±10.6 pp · low precision 4.5% 5.1%
Other family: female householder, no spouse present 39 ±29 · low precision 12.9% ±8.6 pp · low precision 13.4% 12.2%
Nonfamily: householder living alone 137 ±59 45.4% ±12.8 pp 29.2% 28.7%
Nonfamily: householder not living alone 17 ±20 · low precision 5.6% ±6.4 pp · low precision 5.8% 7.0%
Households with children · B11005 · ACS 2020–2024 Households: 302
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Households with people under 18 44 ±27 · low precision 14.6% ±7.6 pp · low precision 28.6% 29.5%
Households without people under 18 258 ±94 85.4% ±14.2 pp 71.4% 70.5%
Household size · B11016 · ACS 2020–2024 Households: 302
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
One-person nonfamily households 137 ±59 45.4% ±12.8 pp 29.2% 28.7%
Two-person households 117 ±65 · low precision 38.7% ±17.5 pp 36.3% 33.8%
Three-person households 29 ±27 · low precision 9.6% ±8.4 pp · low precision 15.4% 15.3%
Four-person households 5 ±17 · low precision 1.7% ±5.5 pp · low precision 11.6% 12.6%
Five-person households 0 ±20 · low precision 0.0% ±6.6 pp · low precision 5.0% 5.9%
Six-person households 0 ±20 · low precision 0.0% ±6.6 pp · low precision 1.7% 2.2%
Seven or more people 14 ±20 · low precision 4.6% ±6.4 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: 675
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Native 671 ±239 99.4% ±50.2 pp · low precision 94.2% 85.9%
Foreign born 4 ±11 · low precision 0.6% ±1.6 pp · low precision 5.8% 14.1%
Language spoken at home · C16001 · ACS 2020–2024 Population age 5 and older: 639
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
English only 629 ±218 98.4% ±2.2 pp 91.6% 77.7%
Spanish 10 ±21 · low precision 1.6% ±3.2 pp · low precision 5.3% 13.6%
French, Haitian, or Cajun 0 ±14 · low precision 0.0% ±2.2 pp · low precision 0.3% 0.7%
German or other West Germanic 0 ±14 · low precision 0.0% ±2.2 pp · low precision 0.3% 0.5%
Russian, Polish, or other Slavic 0 ±14 · low precision 0.0% ±2.2 pp · low precision 0.4% 0.7%
Other Indo-European 0 ±14 · low precision 0.0% ±2.2 pp · low precision 0.8% 2.0%
Korean 0 ±14 · low precision 0.0% ±2.2 pp · low precision 0.1% 0.3%
Chinese, including Mandarin and Cantonese 0 ±14 · low precision 0.0% ±2.2 pp · low precision 0.2% 1.1%
Vietnamese 0 ±14 · low precision 0.0% ±2.2 pp · low precision 0.2% 0.5%
Tagalog, including Filipino 0 ±14 · low precision 0.0% ±2.2 pp · low precision 0.2% 0.6%
Other Asian and Pacific Island 0 ±14 · low precision 0.0% ±2.2 pp · low precision 0.4% 1.1%
Arabic 0 ±14 · low precision 0.0% ±2.2 pp · low precision 0.1% 0.5%
Other and unspecified 0 ±14 · low precision 0.0% ±2.2 pp · low precision 0.3% 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: 481
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Less than high school graduate 132 ±70 · low precision 27.4% ±10.6 pp 9.9% 10.4%
High school graduate or equivalency 196 ±109 · low precision 40.7% ±17.1 pp 28.2% 26.0%
Some college, no degree 53 ±28 · low precision 11.0% ±4.1 pp 19.8% 19.1%
Associate’s degree 65 ±58 · low precision 13.5% ±11.0 pp · low precision 10.0% 8.8%
Bachelor’s degree 29 ±21 · low precision 6.0% ±3.8 pp · low precision 19.8% 21.6%
Graduate or professional degree 6 ±21 · low precision 1.2% ±4.3 pp · low precision 12.3% 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: 675
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Same house 611 ±235 90.5% ±12.6 pp 87.2% 87.7%
Moved within same county 40 ±35 · low precision 5.9% ±4.7 pp · low precision 5.5% 6.3%
Moved from a different county in the same state 18 ±28 · low precision 2.7% ±4.0 pp · low precision 3.1% 3.1%
Moved from a different state 0 ±14 · low precision 0.0% ±2.1 pp · low precision 3.7% 2.3%
Moved from abroad 6 ±9 · low precision 0.9% ±1.3 pp · low precision 0.4% 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

9.0% of North residents (±4.3 percentage points) had no health insurance coverage when surveyed, compared with 9.6% in South 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 North South Carolina U.S. Compared with South Carolina
People without health insurance Civilian noninstitutionalized population 9.0% ±4.3 pp 9.6% 8.4% Not statistically different
Households with a broadband subscription Households 72.2% ±13.1 pp 88.8% 91.0% Lower
Veterans Civilian population age 18 and older 5.3% ±2.9 pp · low precision 8.3% 6.2% Lower

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 North . 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 North housing and cost context or return to the city profile.

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