Secretary, Maryland demographics

Secretary, MD demographics: median age 34.0; 20.3% of adults 25+ hold a bachelor’s degree. Age, race, households, languages and education, ACS 2020–2024 with margins of error.

Secretary has 473 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 Secretary profile summarizes the measures that can be compared reliably.

ACS 2020–2024 · Secretary town, Maryland · Incorporated town · GEOID 2470900. The survey estimates a population of 635 for its five-year window. This is separate from the annual July 2025 population estimate on the city overview.

Median age in Secretary is 34.0 years, with a 90% margin of error of 12.8 years. There are 217 households (±68). 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 34.0 ±12.8 39.4 ±0.1 38.9 ±0.1
Age groups · B01001 · ACS 2020–2024 Total population: 635
Category Count ± MOE Share ± MOE (pp) Maryland U.S.
Under 18 221 ±92 34.8% ±7.5 pp 22.2% 22.0%
18–34 99 ±46 15.6% ±4.5 pp 21.7% 22.8%
35–64 234 ±78 36.9% ±18.0 pp 39.5% 38.0%
65 and older 81 ±39 12.8% ±4.2 pp 16.7% 17.2%
Sex categories as published by ACS · B01001 · ACS 2020–2024 Total population: 635
Category Count ± MOE Share ± MOE (pp) Maryland U.S.
Male 297 ±139 46.8% ±14.1 pp 48.7% 49.5%
Female 338 ±116 53.2% ±26.4 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: 635
Category Count ± MOE Share ± MOE (pp) Maryland U.S.
White alone 465 ±154 73.2% ±35.7 pp 48.2% 61.0%
Black or African American alone 7 ±12 · low precision 1.1% ±1.8 pp · low precision 29.4% 12.2%
American Indian and Alaska Native alone 0 ±14 · low precision 0.0% ±2.2 pp · low precision 0.4% 0.9%
Asian alone 0 ±14 · low precision 0.0% ±2.2 pp · low precision 6.6% 6.0%
Native Hawaiian and Other Pacific Islander alone 6 ±11 · low precision 0.9% ±1.7 pp · low precision 0.0% 0.2%
Some other race alone 105 ±126 · low precision 16.5% ±18.9 pp · low precision 6.9% 7.1%
Two or more races 52 ±48 · low precision 8.2% ±7.0 pp · low precision 8.5% 12.6%
Hispanic or Latino origin · B03003 · ACS 2020–2024 Total population: 635
Category Count ± MOE Share ± MOE (pp) Maryland U.S.
Not Hispanic or Latino 499 ±162 78.6% ±37.9 pp 87.5% 80.7%
Hispanic or Latino 136 ±132 · low precision 21.4% ±19.3 pp · low precision 12.5% 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: 217
Category Count ± MOE Share ± MOE (pp) Maryland U.S.
Married-couple family 108 ±46 49.8% ±14.4 pp 46.2% 46.9%
Other family: male householder, no spouse present 6 ±12 · low precision 2.8% ±5.5 pp · low precision 5.1% 5.1%
Other family: female householder, no spouse present 26 ±17 · low precision 12.0% ±6.9 pp · low precision 13.7% 12.2%
Nonfamily: householder living alone 63 ±36 · low precision 29.0% ±13.9 pp 28.7% 28.7%
Nonfamily: householder not living alone 14 ±15 · low precision 6.5% ±6.6 pp · low precision 6.4% 7.0%
Households with children · B11005 · ACS 2020–2024 Households: 217
Category Count ± MOE Share ± MOE (pp) Maryland U.S.
Households with people under 18 79 ±43 · low precision 36.4% ±16.2 pp 30.6% 29.5%
Households without people under 18 138 ±50 63.6% ±11.6 pp 69.4% 70.5%
Household size · B11016 · ACS 2020–2024 Households: 217
Category Count ± MOE Share ± MOE (pp) Maryland U.S.
One-person nonfamily households 63 ±36 · low precision 29.0% ±13.9 pp 28.7% 28.7%
Two-person households 72 ±28 33.2% ±7.9 pp 32.1% 33.8%
Three-person households 16 ±17 · low precision 7.4% ±7.6 pp · low precision 16.0% 15.3%
Four-person households 33 ±31 · low precision 15.2% ±13.6 pp · low precision 13.3% 12.6%
Five-person households 15 ±23 · low precision 6.9% ±10.3 pp · low precision 6.0% 5.9%
Six-person households 18 ±25 · low precision 8.3% ±11.3 pp · low precision 2.4% 2.2%
Seven or more people 0 ±20 · low precision 0.0% ±9.1 pp · low precision 1.5% 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: 635
Category Count ± MOE Share ± MOE (pp) Maryland U.S.
Native 565 ±190 89.0% ±43.7 pp 83.4% 85.9%
Foreign born 70 ±64 · low precision 11.0% ±9.3 pp · low precision 16.6% 14.1%
Language spoken at home · C16001 · ACS 2020–2024 Population age 5 and older: 610
Category Count ± MOE Share ± MOE (pp) Maryland U.S.
English only 477 ±156 78.2% ±38.2 pp 78.9% 77.7%
Spanish 131 ±130 · low precision 21.5% ±19.8 pp · low precision 9.6% 13.6%
French, Haitian, or Cajun 0 ±14 · low precision 0.0% ±2.3 pp · low precision 1.3% 0.7%
German or other West Germanic 1 ±3 · low precision 0.2% ±0.5 pp · low precision 0.3% 0.5%
Russian, Polish, or other Slavic 0 ±14 · low precision 0.0% ±2.3 pp · low precision 0.6% 0.7%
Other Indo-European 1 ±2 · low precision 0.2% ±0.3 pp · low precision 2.5% 2.0%
Korean 0 ±14 · low precision 0.0% ±2.3 pp · low precision 0.6% 0.3%
Chinese, including Mandarin and Cantonese 0 ±14 · low precision 0.0% ±2.3 pp · low precision 1.2% 1.1%
Vietnamese 0 ±14 · low precision 0.0% ±2.3 pp · low precision 0.3% 0.5%
Tagalog, including Filipino 0 ±14 · low precision 0.0% ±2.3 pp · low precision 0.6% 0.6%
Other Asian and Pacific Island 0 ±14 · low precision 0.0% ±2.3 pp · low precision 1.1% 1.1%
Arabic 0 ±14 · low precision 0.0% ±2.3 pp · low precision 0.4% 0.5%
Other and unspecified 0 ±14 · low precision 0.0% ±2.3 pp · low precision 2.5% 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: 374
Category Count ± MOE Share ± MOE (pp) Maryland U.S.
Less than high school graduate 35 ±53 · low precision 9.4% ±13.9 pp · low precision 8.9% 10.4%
High school graduate or equivalency 177 ±59 47.3% ±3.7 pp 23.4% 26.0%
Some college, no degree 52 ±31 · low precision 13.9% ±6.9 pp 17.4% 19.1%
Associate’s degree 34 ±24 · low precision 9.1% ±5.7 pp · low precision 6.8% 8.8%
Bachelor’s degree 30 ±17 · low precision 8.0% ±3.7 pp 22.7% 21.6%
Graduate or professional degree 46 ±39 · low precision 12.3% ±9.7 pp · low precision 20.8% 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: 635
Category Count ± MOE Share ± MOE (pp) Maryland U.S.
Same house 598 ±228 94.2% ±12.5 pp 88.7% 87.7%
Moved within same county 13 ±12 · low precision 2.0% ±1.7 pp · low precision 5.2% 6.3%
Moved from a different county in the same state 10 ±14 · low precision 1.6% ±2.1 pp · low precision 2.8% 3.1%
Moved from a different state 0 ±14 · low precision 0.0% ±2.2 pp · low precision 2.6% 2.3%
Moved from abroad 14 ±21 · low precision 2.2% ±3.2 pp · low precision 0.7% 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

8.0% of Secretary residents (±5.2 percentage points) had no health insurance coverage when surveyed, compared with 6.3% in Maryland and 8.4% nationally. 86.6% 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 Secretary Maryland U.S. Compared with Maryland
People without health insurance Civilian noninstitutionalized population 8.0% ±5.2 pp · low precision 6.3% 8.4% Not statistically different
Households with a broadband subscription Households 86.6% ±11.5 pp 92.4% 91.0% Not statistically different
Veterans Civilian population age 18 and older 7.0% ±4.6 pp · low precision 6.8% 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 Secretary . 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 Secretary housing and cost context or return to the city profile.

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