Zip code 95941: Forbestown, California
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 95941
95941 is a rural zip code in Forbestown, California (Butte County), covering 35 sq mi of land. About 106 people live here, or 3 per square mile. The median resident is 42.5 years old, compared with 38.9 nationally. With so few residents, the Census figures below are rough estimates with wide margins of error.
16.3% of residents live below the poverty line (U.S.: 12.5%). 94% of occupied homes are lived in by their owners.
3% of adults hold a bachelor's degree or higher (U.S.: 36%). Commuters average 34.4 minutes each way, and 20% of workers work from home; most commuters carpool. The most common jobs among working residents are in production and manufacturing; construction and repair; and police and fire protection.
How 95941 compares
Only about 106 people live here, so these survey estimates have wide margins of error.
- Homeownership rate93.8%99thStrengthU.S. 65.2% · CA 55.9%53rd of 1,662 in CA
- Unemployment rate31.8%99thWeaknessU.S. 5.2% · CA 6.6%19th of 1,681 in CA
- Uninsured rate55.7%99thWeaknessU.S. 8.4% · CA 6.6%3rd of 1,675 in CA
- Housing vacancy49.2%99thU.S. 10.1% · CA 7.5%73rd of 1,664 in CA
- Tech workers13.3%99thU.S. 3.8% · CA 4.4%66th of 1,678 in CA
- 98thU.S. 14.5% · CA 14.8%135th of 1,678 in CA
- Veterans12.5%95thU.S. 6.2% · CA 4.3%99th of 1,686 in CA
- Average commute34.4 min90thWeaknessU.S. 26.4 min · CA 28.7 min235th of 1,584 in CA
- Diversity index68.590thU.S. 61.4 · CA 69.7228th of 1,688 in CA
- 77thU.S. 15.1% · CA 17.2%599th of 1,680 in CA
- Median age42.574thU.S. 38.9 · CA 37.9635th of 1,687 in CA
- Poverty rate16.3%74thU.S. 12.5% · CA 12%450th of 1,666 in CA
- Median earnings per worker$43,75035thU.S. $49,666 · CA $52,6431,102nd of 1,658 in CA
- Per capita income$20,2553rdWeaknessU.S. $44,673 · CA $49,5131,576th of 1,685 in CA
- Population1061stU.S. 334,922,499 · CA 39,287,3771,684th of 1,688 in CA
- Population density3/sq mi1stU.S. 95/sq mi · CA 252/sq mi1,637th of 1,688 in CA
- 1stWeaknessU.S. 35.7% · CA 37.1%1,649th of 1,687 in CA
- Broadband access6.3%1stWeaknessU.S. 91% · CA 93.5%1,660th of 1,662 in CA
- 1stU.S. 14.1% · CA 27%1,633rd of 1,688 in CA
- 1stU.S. 17.2% · CA 15.7%1,630th of 1,688 in CA
- 1stU.S. 22% · CA 22%1,606th of 1,688 in CA
- 1stU.S. 9.7% · CA 9.4%1,559th of 1,678 in CA
- 1stU.S. 10% · CA 11.4%1,595th of 1,678 in CA
- 1stStrengthU.S. 0.483 · CA 0.4891,633rd of 1,651 in CA
| Measure | 95941 | Butte | CA | U.S. | National percentile | Rank in CA |
|---|---|---|---|---|---|---|
| Homeownership rateStrength | 93.8% | 57.3% | 55.9% | 65.2% | 53rd of 1,662 | |
| Unemployment rateWeakness | 31.8% | 7.5% | 6.6% | 5.2% | 19th of 1,681 | |
| Uninsured rateWeakness | 55.7% | 6.4% | 6.6% | 8.4% | 3rd of 1,675 | |
| Housing vacancy | 49.2% | 10.2% | 7.5% | 10.1% | 73rd of 1,664 | |
| Tech workers | 13.3% | 2.5% | 4.4% | 3.8% | 66th of 1,678 | |
| Government workers | 30% | 18.5% | 14.8% | 14.5% | 135th of 1,678 | |
| Veterans | 12.5% | 6.8% | 4.3% | 6.2% | 99th of 1,686 | |
| Average commuteWeakness | 34.4 min | 21 min | 28.7 min | 26.4 min | 235th of 1,584 | |
| Diversity index | 68.5 | 52.9 | 69.7 | 61.4 | 228th of 1,688 | |
| Work from home | 20% | 12.6% | 17.2% | 15.1% | 599th of 1,680 | |
| Median age | 42.5 | 36.2 | 37.9 | 38.9 | 635th of 1,687 | |
| Poverty rate | 16.3% | 19.2% | 12% | 12.5% | 450th of 1,666 | |
| Median earnings per worker | $43,750 | $41,251 | $52,643 | $49,666 | 1,102nd of 1,658 | |
| Per capita incomeWeakness | $20,255 | $38,305 | $49,513 | $44,673 | 1,576th of 1,685 | |
| Population | 106 | 207,929 | 39,287,377 | 334,922,499 | 1,684th of 1,688 | |
| Population density | 3/sq mi | 127/sq mi | 252/sq mi | 95/sq mi | 1,637th of 1,688 | |
| Bachelor's degree or higherWeakness | 3% | 31.9% | 37.1% | 35.7% | 1,649th of 1,687 | |
| Broadband accessWeakness | 6.3% | 91.8% | 93.5% | 91% | 1,660th of 1,662 | |
| Foreign-born residents | 0% | 8.6% | 27% | 14.1% | 1,633rd of 1,688 | |
| Residents 65 and older | 3.8% | 18.4% | 15.7% | 17.2% | 1,630th of 1,688 | |
| Residents under 18 | 1.9% | 20.4% | 22% | 22% | 1,606th of 1,688 | |
| Healthcare workers | 0% | 11.6% | 9.4% | 9.7% | 1,559th of 1,678 | |
| Self-employed workers | 0% | 11.6% | 11.4% | 10% | 1,595th of 1,678 | |
| Income inequality (Gini)Strength | 0.192 | 0.483 | 0.489 | 0.483 | 1,633rd of 1,651 |
The percentile is the share of Americans who live in a zip code with a lower value, so the 50th percentile is typical. Rank 1 is the highest value in the state. Both include zip codes with at least 100 residents. Strengths and weaknesses mark measures in the best or worst fifth nationally, where higher or lower is clearly better (income, poverty, education, commute, broadband, insurance and similar). Measures like age or density are left unmarked.
People
Age
Race and ethnicity
- White28%
- Black0%
- Hispanic0%
- Asian4%
- Native American30%
- Pacific Islander0%
- Other38%
- Multiracial0%
Language spoken at home (households)
Households
- Households
- 32
- Average household size
- 2.9
- Family households
- 100%
- Married couples
- 100%
- Living alone
- 0%
- Veterans (of adults)
- 12.5%
- Male / female
- 69% / 31%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 63
- Owner-occupied
- 93.8%
- Vacant
- 49.2%
- Median year built
- 1973
- Median rooms
- 4.5
- Renters paying 30%+ of income
- —
- Renters paying 50%+ of income
- —
- Home value to income
- —
Work and commute
How people get to work
Commute time (one way)
Jobs and careers
Occupations
Industries
Median earnings by type of work
| Type of work | 95941 | U.S. |
|---|---|---|
| Management, business, science and arts | — | $74,888 |
| Service | — | $26,804 |
| Sales and office | — | $40,476 |
| Construction and maintenance | — | $49,199 |
| Production and transportation | — | $39,989 |
Education, internet and health coverage
Highest education (adults 25+)
- High school graduate or higher
- 87%
- Bachelor's degree or higher
- 3%
- Graduate or professional degree
- 0%
- Households with broadband
- 6.3%
- Cable, fiber or DSL
- 0%
- No internet access
- 93.8%
- Without health insurance
- 55.7%
- Limited-English households
- 0%
Geography
- City (USPS)
- Forbestown
- State
- California
- County
- Butte County
- Center point
- 39.5170° N, 121.2739° W
- Land area
- 35 sq mi
- Water area
- under 0.1 sq mi
- Time zone
- Pacific Time (UTC-8, UTC-7 in summer)
- Zip type
- Residential delivery area
95941 spans 2 counties
- Butte County85% of land
- Yuba County15% of land
Cities and towns within this zip
- Forbestown (unincorporated)16% of zip
Census places overlapping the zip's area. Mail may use a different city name than the municipality.
Zip codes near 95941
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 95925 | Challenge, CA | 4.9 mi | — |
| 95919 | Brownsville, CA | 5.7 mi | — |
| 95930 | Clipper Mills, CA | 6.5 mi | under $2,500 |
| 95972 | Rackerby, CA | 7.3 mi | — |
| 95940 | Feather Falls, CA · PO box | 7.3 mi | — |
| 95966 | Oroville, CA | 8 mi | $65,586 |
| 95914 | Bangor, CA | 9.4 mi | $102,188 |
| 95935 | Dobbins, CA | 11 mi | $54,110 |
| 95916 | Berry Creek, CA | 11 mi | $28,333 |
| 95922 | Camptonville, CA | 11 mi | $36,528 |
| 95962 | Oregon House, CA | 13 mi | $77,903 |
| 95960 | North San Juan, CA | 15 mi | $52,917 |
Questions about 95941
What city is zip code 95941?
95941 is assigned to Forbestown, California. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 95941 in?
95941 is mostly in Butte County, but it extends into 1 other county.
What is the population of 95941?
About 106 people live in 95941, according to the Census Bureau's American Community Survey.
What time zone is 95941 in?
95941 is in Pacific Time.
What zip codes are near 95941?
The closest zip codes to 95941 are 95925, 95919, 95930, 95972, 95940.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 95941, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.