Bear Grass, North Carolina

Population, housing costs, incomes, jobs, commuting and climate in Bear Grass, compared with North Carolina and the U.S. using Census records and their margins of error.

Bear Grass town · Incorporated town · Census GEOID 3704180 · North Carolina directory

Population · July 1, 2025
81 PEP Vintage 2025
Change · 2024 to 2025
-2.4% -2 residents
Household income
$77,679 ACS 2020–2024 · ±$22,643
Home value
$131,800 ACS 2020–2024 · ±$41,110
Monthly gross rent
$675 ACS 2020–2024 · ±$91
Median age
33.5 years ACS 2020–2024 · ±14.6
Bear Grass, North Carolina location in the United States Bear Grass, North Carolina
Census 2024 simplified state outlines; 2025 Gazetteer internal points. Alaska and Hawaii use separate insets. Approximate locator; city boundaries are not shown. Map sources.

Bear Grass is an incorporated town in Martin County, North Carolina. With 81 residents on July 1, 2025, it ranks 536th in North Carolina and 18,483rd nationally among Census places. Its population fell by 2 (2.4%) in the year to July 2025; since April 2020 it has declined 4.7%. Median gross rent in the 2020–2024 survey is $675 a month, 45.0% below the North Carolina median. Median household income is $77,679, 7.3% above the North Carolina median.

What stands out in Bear Grass?

Compared with other North Carolina places, Bear Grass is most distinctive for lower rents, lower home values and more spread-out settlement. Each statement below uses reliable estimates only, and survey differences from the state exceed their combined 90% margin of error.

  • Median gross rent: $675, 45.0% below the North Carolina median ($1,228); lower than 91% of 429 North Carolina places with reliable estimates.
  • Median home value: $131,800, 54.4% below the North Carolina median ($288,900); lower than 81% of 496 North Carolina places with reliable estimates.
  • Residents per square mile of land: 319; lower than 80% of 549 North Carolina places with reliable estimates.

How Bear Grass compares with North Carolina and the U.S.

City, state and U.S. figures · ACS 2020–2024, LODES 8.4 and PEP Vintage 2025 · position among North Carolina places with reliable estimates
Measure Bear Grass North Carolina U.S. Position in North Carolina
Residents per square mile of land PEP 2025 / Gazetteer 2025 319 — — lower than 80% of 549 North Carolina places
Median household income B19013 $77,679 ±$22,643 $72,388 $80,734 higher than 69% of 451 North Carolina places
Median home value B25077 $131,800 ±$41,110 $288,900 $332,700 lower than 81% of 496 North Carolina places
Median real estate taxes paid B25103 $1,346 ±$365 $1,896 $3,119 lower than 62% of 514 North Carolina places
Median gross rent B25064 $675 ±$91 $1,228 $1,413 lower than 91% of 429 North Carolina places
Renters paying 30%+ of income on rent B25070 12.5% ±303.7 pp · low precision 48.9% 51.1% Not ranked: low precision
Homeownership rate B25003 80.0% ±23.9 pp 66.6% 65.2% higher than 73% of 524 North Carolina places
Median age B01002 33.5 years ±14.6 39.1 years 38.9 years lower than 88% of 515 North Carolina places
Adults 25+ with a bachelor’s degree or higher B15003 25.0% ±22.3 pp · low precision 35.7% 35.7% Not ranked: low precision
Poverty rate B17001 0.8% ±3.0 pp · low precision 13.0% 12.5% Not ranked: low precision
People without health insurance B27010 0.8% ±18.4 pp · low precision 9.9% 8.4% Not ranked: low precision
Households with a broadband subscription B28002 100.0% ±0.0 pp · low precision 90.1% 91.0% Not ranked: low precision
Unemployment rate (civilian labor force) B23025 0.0% ±23.3 pp · low precision 4.7% 5.2% Not ranked: low precision
Foreign-born residents B05002 0.0% ±10.5 pp · low precision 9.1% 14.1% Not ranked: low precision
Workers who work from home B08301 5.0% ±6.0 pp · low precision 16.3% 15.1% Not ranked: low precision
Commutes of 45 minutes or longer B08303 3.5% ±35.8 pp · low precision 13.9% 16.5% Not ranked: low precision
Households without a vehicle B08201 0.0% ±31.1 pp · low precision 5.3% 8.4% Not ranked: low precision

Positions compare Bear Grass with North Carolina places in this directory whose estimate has a coefficient of variation of 30% or less (survey measures) or a published PEP value. The marker runs from the lowest value (left) to the highest (right); it is a description, not a score or a recommendation. 10 measures are shown in grey because the survey margin of error is too wide to rank reliably. With 81 residents, Bear Grass has a small ACS sample; prefer the population and geography records for precise comparisons.

How many people live in Bear Grass?

The latest official estimate is 81 residents on July 1, 2025. It ranks 18,483rd by population nationally and 536th in North Carolina among this directory’s PEP places. Population changed by 2 residents between the 2024 and 2025 estimates. These are annual estimates, not census enumerations.

Bear Grass population estimates, 2020 through 2025, Census Vintage 2025. Vertical range 77 to 88; axis does not start at zero. Residents · axis does not start at zero 88 77 2020 2021 2022 2023 2024 2025
Annual July 1 estimates, all from Vintage 2025. Revised April 1, 2020 estimate base: 85; the base is separate from July 2020.
Population history · PEP Vintage 2025
Reference date Population Change from previous estimate
July 1, 2020 85 Separate from April 2020 base
July 1, 2021 84 -1
July 1, 2022 83 -1
July 1, 2023 83 +0
July 1, 2024 83 +0
July 1, 2025 81 -2

From the revised April 2020 base to July 2025, the change is −4 residents (-4.7%). This is a within-vintage comparison. Boundary adjustments can affect both the estimates and their interpretation.

Download this population chart (SVG) · Official population release

Where are the boundaries?

Entity and stable identifier
Bear Grass town, North Carolina · Incorporated town · 3704180
Counties or equivalents · 2025 boundaries
Martin County
Metropolitan or micropolitan context · July 2023 delineations
No county-to-CBSA association is listed in the retained July 2023 delineations for these county codes. County associations use Census PEP county place parts. Each county is matched by FIPS code to the official CBSA list; a city can span several counties or statistical areas. A missing association can reflect an area outside a CBSA or changed county codes between vintages. City figures on this page remain place-level statistics.
Land area
0.3 square miles · 2025 Gazetteer
Water area
0.0 square miles · 2025 Gazetteer
Approximate population density
319 residents per square mile of land
Internal point
35.76642°, -77.128885° · Census geographic reference point

Density divides the July 2025 estimate by 2025 Gazetteer land area, so it is approximate. The internal point is a locator, not an address. Census place profile reference .

Income and poverty

City, state and U.S. estimates · ACS 2020–2024
Measure / survey universe City estimate ± MOE State estimate ± MOE U.S. estimate ± MOE
Median household income Households · USD/year $77,679 ±$22,643 $72,388 ±$324 $80,734 ±$166
Per-capita income Total population · USD/year $30,179 ±$9,951 $41,385 ±$211 $44,673 ±$122
Population with poverty status determined · B17001 · ACS 2020–2024 People with poverty status determined: 133
Category Count ± MOE Share ± MOE (pp)
Below the poverty level 1 ±4 · low precision 0.8% ±3.0 pp · low precision

Household income combines the incomes of everyone in a household; per-capita income divides all income by every resident. The poverty rate is 0.8% (±3.0 percentage points · low precision) under the official Census definition.

Home values, rent and tenure

City, state and U.S. estimates · ACS 2020–2024
Measure / survey universe City estimate ± MOE State estimate ± MOE U.S. estimate ± MOE
Median owner-occupied home value Owner-occupied housing units · USD $131,800 ±$41,110 $288,900 ±$1,086 $332,700 ±$236
Median gross rent Renter-occupied units paying cash rent · USD/month $675 ±$91 $1,228 ±$5 $1,413 ±$2
Occupied housing units by tenure · B25003 · ACS 2020–2024 Occupied housing units: 45
Category Count ± MOE Share ± MOE (pp)
Owner occupied 36 ±22 · low precision 80.0% ±23.9 pp
Renter occupied 9 ±10 · low precision 20.0% ±19.5 pp · low precision

Owner-occupied units make up 80.0% of occupied housing. Gross rent includes estimated tenant-paid utilities and home values are owners’ own estimates; both cover 2020–2024 leases and homes rather than current listings. The median home value is 1.7 times the median household income.

See housing units, occupancy, rent burden and homeowner costs .

Monthly rent by bedroom count

No usable bedroom-level rent estimates are published for this place in the retained ACS release.

Census table B25031 describes renter-occupied units paying cash rent within this exact place geography. Gross rent includes contract rent and estimated tenant-paid utilities. These survey medians include existing leases across 2020–2024; they are not current apartment listings. Missing categories stay unavailable, and open-ended medians remain ranges. Small bedroom categories can have large margins of error. Download source values and provenance .

Employment among residents

Labor-force participation · B23025 · ACS 2020–2024 Population age 16 and older: 85
Category Count ± MOE Share ± MOE (pp)
In the labor force 60 ±36 · low precision 70.6% ±18.3 pp
Not in the labor force 25 ±22 · low precision 29.4% ±20.4 pp · low precision
Civilian labor-force status · B23025 · ACS 2020–2024 Civilian labor force: 60
Category Count ± MOE Share ± MOE (pp)
Civilian employed 60 ±36 · low precision 100.0% ±0.0 pp
Civilian unemployed 0 ±14 · low precision 0.0% ±23.3 pp · low precision

These estimates describe residents of Bear Grass wherever they work; jobs at workplaces inside the city appear under jobs located in Bear Grass. They are 2020–2024 averages, not a current monthly unemployment rate.

Which industries employ residents?

Education, health care and social assistance is the largest of the published broad industry groups among employed residents: 36.7% (22 people; ±7.4 percentage points). The estimate covers residents’ industries wherever they work, rather than employers located inside the place.

Industry of employed residents · C24030 · ACS 2020–2024 Civilian employed population age 16 and older: 60
Category Count ± MOE Share ± MOE (pp)
Agriculture, forestry, fishing, hunting and mining 0 ±20 · low precision 0.0% ±33.0 pp · low precision
Construction 5 ±17 · low precision 8.3% ±27.3 pp · low precision
Manufacturing 4 ±15 · low precision 6.7% ±24.5 pp · low precision
Wholesale trade 1 ±14 · low precision 1.7% ±23.8 pp · low precision
Retail trade 12 ±17 · low precision 20.0% ±26.5 pp · low precision
Transportation, warehousing and utilities 0 ±20 · low precision 0.0% ±33.0 pp · low precision
Information 0 ±20 · low precision 0.0% ±33.0 pp · low precision
Finance, insurance, real estate, rental and leasing 1 ±14 · low precision 1.7% ±23.8 pp · low precision
Professional, scientific, management, administrative and waste services 1 ±14 · low precision 1.7% ±23.8 pp · low precision
Education, health care and social assistance 22 ±14 · low precision 36.7% ±7.4 pp
Arts, entertainment, recreation, accommodation and food services 5 ±16 · low precision 8.3% ±26.4 pp · low precision
Other services, except public administration 2 ±15 · low precision 3.3% ±24.7 pp · low precision
Public administration 7 ±17 · low precision 11.7% ±27.8 pp · low precision

Occupations among employed residents

Broad occupation groups · C24010 · ACS 2020–2024 Civilian employed population age 16 and older: 60
Category Count ± MOE Share ± MOE (pp)
Management, business, science and arts 20 ±14 · low precision 33.3% ±12.5 pp
Service occupations 12 ±9 · low precision 20.0% ±10.3 pp · low precision
Sales and office 22 ±22 · low precision 36.7% ±29.2 pp · low precision
Natural resources, construction and maintenance 2 ±15 · low precision 3.3% ±24.2 pp · low precision
Production, transportation and material moving 4 ±15 · low precision 6.7% ±24.5 pp · low precision
Selected detailed occupation groups · C24010 · ACS 2020–2024 Civilian employed population age 16 and older: 60
Category Count ± MOE Share ± MOE (pp)
Management occupations 5 ±16 · low precision 8.3% ±26.4 pp · low precision
Computer and mathematical occupations 0 ±20 · low precision 0.0% ±33.0 pp · low precision
Educational instruction and library occupations 9 ±9 · low precision 15.0% ±12.9 pp · low precision
Health practitioners and technical occupations 3 ±15 · low precision 5.0% ±24.6 pp · low precision
Sales and related occupations 12 ±17 · low precision 20.0% ±26.5 pp · low precision
Transportation occupations 0 ±20 · low precision 0.0% ±33.0 pp · low precision

The detailed groups are subsets of the broad groups and should not be added to them.

How residents get to work

Means of transportation to work · B08301 · ACS 2020–2024 Workers age 16 and older: 60
Category Count ± MOE Share ± MOE (pp)
Drove alone 57 ±36 · low precision 95.0% ±18.7 pp
Carpooled 0 ±14 · low precision 0.0% ±23.3 pp · low precision
Public transportation 0 ±14 · low precision 0.0% ±23.3 pp · low precision
Taxi or ride-hailing 0 ±14 · low precision 0.0% ±23.3 pp · low precision
Motorcycle 0 ±14 · low precision 0.0% ±23.3 pp · low precision
Bicycle 0 ±14 · low precision 0.0% ±23.3 pp · low precision
Walked 0 ±14 · low precision 0.0% ±23.3 pp · low precision
Other means 0 ±14 · low precision 0.0% ±23.3 pp · low precision
Worked from home 3 ±4 · low precision 5.0% ±6.0 pp · low precision
Travel time to work · B08303 · ACS 2020–2024 Workers age 16+ who did not work from home: 57
Category Count ± MOE Share ± MOE (pp)
Under 15 minutes 27 ±32 · low precision 47.4% ±46.9 pp · low precision
15–29 minutes 17 ±14 · low precision 29.8% ±17.0 pp · low precision
30–44 minutes 11 ±17 · low precision 19.3% ±27.0 pp · low precision
45–59 minutes 0 ±14 · low precision 0.0% ±24.6 pp · low precision
60 minutes or longer 2 ±15 · low precision 3.5% ±26.0 pp · low precision
Household vehicle availability · B08201 · ACS 2020–2024 Households: 45
Category Count ± MOE Share ± MOE (pp)
No vehicle available 0 ±14 · low precision 0.0% ±31.1 pp · low precision

Travel times cover workers who did not work from home. Vehicle availability is counted per household, not per driver.

Households and residents

Median age is 33.5 years (±14.6). The demographic profile covers age groups, race and Hispanic origin, household types, nativity, languages, education and moves, each compared with North Carolina and the U.S.

Read Bear Grass demographics →

How many jobs are located in Bear Grass?

Employers in Bear Grass reported 71 jobs in 2023, +4.4% compared with 2019 (68 jobs). That is 85.5 jobs for every 100 residents in the July 2023 population estimate. These are jobs at workplaces inside the city limits, wherever the workers live, unlike resident employment figures.

Jobs located in Bear Grass by industry (NAICS sector) · 2023 · LODES 8.4
Industry Jobs Share of local jobs North Carolina share
Educational services 64 90.1% 8.1%
Retail trade 3 4.2% 11.3%
Construction 2 2.8% 5.5%
Public administration 2 2.8% 4.8%
Monthly earnings and worker age · jobs located in Bear Grass · 2023
Group Jobs Share North Carolina share
$1,250 a month or less 18 25.4% 18.1%
$1,251 to $3,333 a month 15 21.1% 27.5%
More than $3,333 a month 38 53.5% 54.4%
Age 29 or younger 8 11.3% 22.7%
Age 30 to 54 47 66.2% 53.1%
Age 55 or older 16 22.5% 24.3%

Educational services is the largest sector for jobs located in Bear Grass (90.1% of local jobs, compared with 8.1% statewide). Earnings bands describe what each job pays per month, not household income, and a worker can hold more than one job.

Source: Census LEHD Origin-Destination Employment Statistics (LODES) 8.4, workplace area characteristics, all jobs, second-quarter reference date. Census blocks are summed to 2024 place boundaries. Includes private, state and local government and federal civilian jobs; excludes self-employment, military and informal work. Counts include confidentiality noise and are less precise for small places.

Nearby station climate normals

WILLIAMSTON 1 E, NC (NOAA station USC00319440) is approximately 13.1 km from this place’s Census internal point. The table describes that station’s 1991–2020 climate normals, using NOAA’s corrected version 1.0.1. It is historical station context, rather than a forecast or an average across the city.

WILLIAMSTON 1 E monthly average daily high and low temperature, 1991–2020 NOAA normals. Solid line: high; dashed line: low. Vertical scale 30 to 90 degrees Fahrenheit. Temperature (°F) 90 30 Jan Mar May Jul Sep Nov
Average daily high: solid line. Average daily low: dashed line. NOAA station normals, 1991–2020; the table gives all monthly values.
WILLIAMSTON 1 E · 1991–2020 monthly normals
Month Average daily high (°F) Average daily low (°F) Precipitation (inches)
January 51.8 33.1 3.69
February 54.9 35.4 3.22
March 62.0 41.7 4.13
April 71.4 50.1 3.72
May 78.2 58.8 3.69
June 85.3 67.3 5.13
July 88.5 71.4 5.75
August 86.9 69.9 5.70
September 81.8 64.3 6.92
October 73.0 52.1 4.29
November 63.1 42.2 3.39
December 55.3 36.3 3.57

Station location: 35.8528°, -77.0306°; elevation 6.1 meters. We select the nearest station within 25 km with all 12 months of high/low temperature and precipitation marked “S” (standard) by NOAA. Standard normals meet NOAA’s data-availability rules and can include estimated missing months. Distance is a straight-line great-circle calculation from the Census internal point. Coastal exposure, elevation and urban conditions can differ between the station and an address. NOAA normals and definitions · Original station CSV · Retained station data, flags and matching details .

Check a specific address before moving

City averages help compare places. A particular home’s school assignment, transit service and flood-map coverage need checks at the address.

  • FEMA Flood Map Service Center — search the address, read the effective map and its date, and check any map changes. An unmapped location does not establish an absence of flood risk.
  • NCES public school district directory — find district contact information, then use the district’s official address locator or enrollment office to confirm school assignment. A city name or district boundary alone does not assign a school.
  • FCC National Broadband Map — check reported service at the exact location, then confirm availability and terms with the provider.
  • Check the official transit operator’s route map and timetable for the address and your actual travel hours; the citywide commuting shares above do not measure service on a particular street.

Sources and data notes

Population: Census PEP Vintage 2025, published May 14, 2026. Survey measures: ACS 2020–2024 five-year estimates, published January 29, 2026, dollar figures in 2024 dollars. Geography: Census 2025 Gazetteer, with simplified 2024 state outlines for the locator. Statistical estimates and derived values use the same retained records in profiles, comparison, filters and downloads.

Climate uses NOAA 1991–2020 station normals (v1.0.1); jobs located in the city use LEHD LODES 8.4. Crime, school assignments and hazard scores are not inferred from these datasets, and missing values are never treated as zero. Inspect original sources, read calculation details, download this place’s source observations , or submit a correction.

What can we help you find?

Type at least two letters to start searching.

Browse cities Esc to close