Coward, South Carolina demographics

Coward, SC demographics: median age 38.5; 15.0% of adults 25+ hold a bachelor’s degree. Age, race, households, languages and education, ACS 2020–2024 with margins of error.

Coward has 729 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 Coward profile summarizes the measures that can be compared reliably.

ACS 2020–2024 · Coward town, South Carolina · Incorporated town · GEOID 4517215. The survey estimates a population of 853 for its five-year window. This is separate from the annual July 2025 population estimate on the city overview.

Median age in Coward is 38.5 years, with a 90% margin of error of 12.4 years. There are 333 households (±97). 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 38.5 ±12.4 40.2 ±0.2 38.9 ±0.1
Age groups · B01001 · ACS 2020–2024 Total population: 853
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Under 18 204 ±89 23.9% ±7.5 pp 21.4% 22.0%
18–34 170 ±95 · low precision 19.9% ±9.3 pp 22.0% 22.8%
35–64 330 ±89 38.7% ±15.7 pp 37.7% 38.0%
65 and older 149 ±61 17.5% ±4.8 pp 18.9% 17.2%
Sex categories as published by ACS · B01001 · ACS 2020–2024 Total population: 853
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Male 425 ±151 49.8% ±9.1 pp 48.7% 49.5%
Female 428 ±146 50.2% ±7.7 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: 853
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
White alone 470 ±168 55.1% ±10.3 pp 63.3% 61.0%
Black or African American alone 328 ±154 38.5% ±13.7 pp 24.8% 12.2%
American Indian and Alaska Native alone 0 ±14 · low precision 0.0% ±1.6 pp · low precision 0.4% 0.9%
Asian alone 0 ±14 · low precision 0.0% ±1.6 pp · low precision 1.8% 6.0%
Native Hawaiian and Other Pacific Islander alone 0 ±14 · low precision 0.0% ±1.6 pp · low precision 0.1% 0.2%
Some other race alone 30 ±52 · low precision 3.5% ±6.0 pp · low precision 2.8% 7.1%
Two or more races 25 ±24 · low precision 2.9% ±2.7 pp · low precision 6.8% 12.6%
Hispanic or Latino origin · B03003 · ACS 2020–2024 Total population: 853
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Not Hispanic or Latino 812 ±255 95.2% ±7.2 pp 92.6% 80.7%
Hispanic or Latino 41 ±59 · low precision 4.8% ±6.8 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: 333
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Married-couple family 129 ±52 38.7% ±10.8 pp 47.1% 46.9%
Other family: male householder, no spouse present 19 ±25 · low precision 5.7% ±7.3 pp · low precision 4.5% 5.1%
Other family: female householder, no spouse present 71 ±72 · low precision 21.3% ±20.7 pp · low precision 13.4% 12.2%
Nonfamily: householder living alone 114 ±53 34.2% ±12.4 pp 29.2% 28.7%
Nonfamily: householder not living alone 0 ±14 · low precision 0.0% ±4.2 pp · low precision 5.8% 7.0%
Households with children · B11005 · ACS 2020–2024 Households: 333
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Households with people under 18 114 ±76 · low precision 34.2% ±20.5 pp · low precision 28.6% 29.5%
Households without people under 18 219 ±69 65.8% ±7.9 pp 71.4% 70.5%
Household size · B11016 · ACS 2020–2024 Households: 333
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
One-person nonfamily households 114 ±53 34.2% ±12.4 pp 29.2% 28.7%
Two-person households 76 ±42 · low precision 22.8% ±10.9 pp 36.3% 33.8%
Three-person households 69 ±63 · low precision 20.7% ±17.8 pp · low precision 15.4% 15.3%
Four-person households 39 ±35 · low precision 11.7% ±9.9 pp · low precision 11.6% 12.6%
Five-person households 31 ±30 · low precision 9.3% ±8.4 pp · low precision 5.0% 5.9%
Six-person households 4 ±15 · low precision 1.2% ±4.5 pp · low precision 1.7% 2.2%
Seven or more people 0 ±20 · low precision 0.0% ±5.9 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: 853
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Native 835 ±258 97.9% ±5.0 pp 94.2% 85.9%
Foreign born 18 ±21 · low precision 2.1% ±2.4 pp · low precision 5.8% 14.1%
Language spoken at home · C16001 · ACS 2020–2024 Population age 5 and older: 802
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
English only 773 ±239 96.4% ±7.0 pp 91.6% 77.7%
Spanish 29 ±38 · low precision 3.6% ±4.6 pp · low precision 5.3% 13.6%
French, Haitian, or Cajun 0 ±14 · low precision 0.0% ±1.7 pp · low precision 0.3% 0.7%
German or other West Germanic 0 ±14 · low precision 0.0% ±1.7 pp · low precision 0.3% 0.5%
Russian, Polish, or other Slavic 0 ±14 · low precision 0.0% ±1.7 pp · low precision 0.4% 0.7%
Other Indo-European 0 ±14 · low precision 0.0% ±1.7 pp · low precision 0.8% 2.0%
Korean 0 ±14 · low precision 0.0% ±1.7 pp · low precision 0.1% 0.3%
Chinese, including Mandarin and Cantonese 0 ±14 · low precision 0.0% ±1.7 pp · low precision 0.2% 1.1%
Vietnamese 0 ±14 · low precision 0.0% ±1.7 pp · low precision 0.2% 0.5%
Tagalog, including Filipino 0 ±14 · low precision 0.0% ±1.7 pp · low precision 0.2% 0.6%
Other Asian and Pacific Island 0 ±14 · low precision 0.0% ±1.7 pp · low precision 0.4% 1.1%
Arabic 0 ±14 · low precision 0.0% ±1.7 pp · low precision 0.1% 0.5%
Other and unspecified 0 ±14 · low precision 0.0% ±1.7 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: 561
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Less than high school graduate 197 ±94 35.1% ±12.9 pp 9.9% 10.4%
High school graduate or equivalency 163 ±76 29.1% ±10.3 pp 28.2% 26.0%
Some college, no degree 63 ±38 · low precision 11.2% ±5.8 pp · low precision 19.8% 19.1%
Associate’s degree 54 ±43 · low precision 9.6% ±7.1 pp · low precision 10.0% 8.8%
Bachelor’s degree 68 ±47 · low precision 12.1% ±7.5 pp · low precision 19.8% 21.6%
Graduate or professional degree 16 ±23 · low precision 2.9% ±3.9 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: 853
Category Count ± MOE Share ± MOE (pp) South Carolina U.S.
Same house 835 ±254 97.9% ±42.2 pp 87.2% 87.7%
Moved within same county 4 ±8 · low precision 0.5% ±0.9 pp · low precision 5.5% 6.3%
Moved from a different county in the same state 13 ±22 · low precision 1.5% ±2.5 pp · low precision 3.1% 3.1%
Moved from a different state 0 ±14 · low precision 0.0% ±1.6 pp · low precision 3.7% 2.3%
Moved from abroad 1 ±3 · low precision 0.1% ±0.3 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

11.1% of Coward residents (±7.1 percentage points) had no health insurance coverage when surveyed, compared with 9.6% in South Carolina and 8.4% nationally. 86.2% 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 Coward South Carolina U.S. Compared with South Carolina
People without health insurance Civilian noninstitutionalized population 11.1% ±7.1 pp · low precision 9.6% 8.4% Not statistically different
Households with a broadband subscription Households 86.2% ±10.0 pp 88.8% 91.0% Not statistically different
Veterans Civilian population age 18 and older 9.4% ±5.6 pp · low precision 8.3% 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 Coward . 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 Coward housing and cost context or return to the city profile.

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