Zip code 95568: Somes Bar, California
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 95568
95568 is a rural zip code in Somes Bar, California (Siskiyou County), covering 97 sq mi of land. About 223 people live here, or 2 per square mile. The median resident is 35.4 years old, compared with 38.9 nationally. With so few residents, the Census figures below are rough estimates with wide margins of error.
21.7% of residents live below the poverty line (U.S.: 12.5%). The median home value is $282,100. 60% of occupied homes are lived in by their owners.
36% of adults hold a bachelor's degree or higher (U.S.: 36%). Commuters average 30.2 minutes each way, and 22% of workers work from home; public transit is the most common way to get to work. The most common jobs among working residents are in education; police and fire protection; and computer and math (tech). 20% of households speak a language other than English at home, most often another Indo-European language such as French, German, Russian or Hindi.
How 95568 compares
Only about 223 people live here, so these survey estimates have wide margins of error.
- Diversity index77.599thU.S. 61.4 · CA 69.710th of 1,688 in CA
- 99thU.S. 10.1% · CA 7.5%69th of 1,664 in CA
- Government workers47.3%99thU.S. 14.5% · CA 14.8%42nd of 1,678 in CA
- 98thU.S. 14.1% · CA 27%80th of 1,688 in CA
- Poverty rate21.7%88thWeaknessU.S. 12.5% · CA 12%227th of 1,666 in CA
- Work from home22.1%83rdU.S. 15.1% · CA 17.2%505th of 1,680 in CA
- Median earnings per worker$60,87177thU.S. $49,666 · CA $52,643584th of 1,658 in CA
- Average commute30.2 min75thU.S. 26.4 min · CA 28.7 min546th of 1,584 in CA
- Tech workers3.6%62ndU.S. 3.8% · CA 4.4%551st of 1,678 in CA
- Per capita income$44,46261stU.S. $44,673 · CA $49,513813th of 1,685 in CA
- 59thU.S. 35.7% · CA 37.1%722nd of 1,687 in CA
- Median home value$282,10040thU.S. $332,700 · CA $734,7001,457th of 1,586 in CA
- 32ndU.S. 65.2% · CA 55.9%959th of 1,662 in CA
- Residents under 1819.3%26thU.S. 22% · CA 22%1,005th of 1,688 in CA
- Median age35.423rdU.S. 38.9 · CA 37.91,266th of 1,687 in CA
- Veterans1.7%4thU.S. 6.2% · CA 4.3%1,484th of 1,686 in CA
- 4thU.S. 10% · CA 11.4%1,517th of 1,678 in CA
- Population2231stU.S. 334,922,499 · CA 39,287,3771,623rd of 1,688 in CA
- Population density2/sq mi1stU.S. 95/sq mi · CA 252/sq mi1,650th of 1,688 in CA
- 1stStrengthU.S. 5.2% · CA 6.6%1,649th of 1,681 in CA
- 1stWeaknessU.S. 91% · CA 93.5%1,637th of 1,662 in CA
- 1stStrengthU.S. 8.4% · CA 6.6%1,659th of 1,675 in CA
- 1stU.S. 17.2% · CA 15.7%1,612th of 1,688 in CA
- 1stU.S. 9.7% · CA 9.4%1,649th of 1,678 in CA
- 1stStrengthU.S. 0.483 · CA 0.4891,573rd of 1,651 in CA
| Measure | 95568 | Siskiyou | CA | U.S. | National percentile | Rank in CA |
|---|---|---|---|---|---|---|
| Diversity index | 77.5 | 43.9 | 69.7 | 61.4 | 10th of 1,688 | |
| Housing vacancy | 50% | 17.4% | 7.5% | 10.1% | 69th of 1,664 | |
| Government workers | 47.3% | 24.7% | 14.8% | 14.5% | 42nd of 1,678 | |
| Foreign-born residents | 46.6% | 5.8% | 27% | 14.1% | 80th of 1,688 | |
| Poverty rateWeakness | 21.7% | 16.4% | 12% | 12.5% | 227th of 1,666 | |
| Work from home | 22.1% | 11.8% | 17.2% | 15.1% | 505th of 1,680 | |
| Median earnings per worker | $60,871 | $41,394 | $52,643 | $49,666 | 584th of 1,658 | |
| Average commute | 30.2 min | 21.2 min | 28.7 min | 26.4 min | 546th of 1,584 | |
| Tech workers | 3.6% | 1.7% | 4.4% | 3.8% | 551st of 1,678 | |
| Per capita income | $44,462 | $36,529 | $49,513 | $44,673 | 813th of 1,685 | |
| Bachelor's degree or higher | 36.3% | 23.3% | 37.1% | 35.7% | 722nd of 1,687 | |
| Median home value | $282,100 | $309,500 | $734,700 | $332,700 | 1,457th of 1,586 | |
| Homeownership rate | 60% | 69.2% | 55.9% | 65.2% | 959th of 1,662 | |
| Residents under 18 | 19.3% | 20% | 22% | 22% | 1,005th of 1,688 | |
| Median age | 35.4 | 47.2 | 37.9 | 38.9 | 1,266th of 1,687 | |
| Veterans | 1.7% | 9.3% | 4.3% | 6.2% | 1,484th of 1,686 | |
| Self-employed workers | 4.8% | 14.7% | 11.4% | 10% | 1,517th of 1,678 | |
| Population | 223 | 43,466 | 39,287,377 | 334,922,499 | 1,623rd of 1,688 | |
| Population density | 2/sq mi | 7/sq mi | 252/sq mi | 95/sq mi | 1,650th of 1,688 | |
| Unemployment rateStrength | 0% | 7.9% | 6.6% | 5.2% | 1,649th of 1,681 | |
| Broadband accessWeakness | 64% | 88.5% | 93.5% | 91% | 1,637th of 1,662 | |
| Uninsured rateStrength | 0% | 6% | 6.6% | 8.4% | 1,659th of 1,675 | |
| Residents 65 and older | 5.8% | 27.8% | 15.7% | 17.2% | 1,612th of 1,688 | |
| Healthcare workers | 0% | 11.1% | 9.4% | 9.7% | 1,649th of 1,678 | |
| Income inequality (Gini)Strength | 0.317 | 0.482 | 0.489 | 0.483 | 1,573rd 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
- White25%
- Black0%
- Hispanic18%
- Asian30%
- Native American10%
- Pacific Islander0%
- Other0%
- Multiracial17%
Language spoken at home (households)
Households
- Households
- 25
- Average household size
- 3.6
- Family households
- 64%
- Married couples
- 52%
- Living alone
- 24%
- Veterans (of adults)
- 1.7%
- Male / female
- 84% / 16%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 50
- Owner-occupied
- 60%
- Vacant
- 50%
- Median year built
- 1974
- Median rooms
- 3.9
- 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 | 95568 | U.S. |
|---|---|---|
| Management, business, science and arts | $61,342 | $74,888 |
| Service | — | $26,804 |
| Sales and office | — | $40,476 |
| Construction and maintenance | — | $49,199 |
| Production and transportation | $6,875 | $39,989 |
Education, internet and health coverage
Highest education (adults 25+)
- High school graduate or higher
- 96.6%
- Bachelor's degree or higher
- 36.3%
- Graduate or professional degree
- 0%
- Households with broadband
- 64%
- Cable, fiber or DSL
- 60%
- No internet access
- 36%
- Without health insurance
- 0%
- Limited-English households
- 12%
Geography
- City (USPS)
- Somes Bar
- State
- California
- County
- Siskiyou County
- Center point
- 41.4849° N, 123.4915° W
- Land area
- 97 sq mi
- Water area
- 1.1 sq mi
- Time zone
- Pacific Time (UTC-8, UTC-7 in summer)
- Zip type
- Residential delivery area
Zip codes near 95568
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 95556 | Orleans, CA | 13 mi | — |
| 96039 | Happy Camp, CA | 14 mi | $41,813 |
| 96027 | Etna, CA | 15 mi | $64,308 |
| 95546 | Hoopa, CA | 24 mi | $61,607 |
| 96031 | Forks Of Salmon, CA | 26 mi | — |
| 96032 | Fort Jones, CA | 27 mi | $72,951 |
| 96085 | Scott Bar, CA | 28 mi | $105,179 |
| 95555 | Orick, CA | 28 mi | $39,583 |
| 96037 | Greenview, CA | 30 mi | $117,379 |
| 95543 | Gasquet, CA | 32 mi | $50,203 |
| 96086 | Seiad Valley, CA | 33 mi | $88,750 |
| 95527 | Burnt Ranch, CA | 37 mi | $76,667 |
Questions about 95568
What city is zip code 95568?
95568 is assigned to Somes Bar, California. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 95568 in?
95568 is in Siskiyou County, California.
What is the population of 95568?
About 223 people live in 95568, according to the Census Bureau's American Community Survey.
What time zone is 95568 in?
95568 is in Pacific Time.
What zip codes are near 95568?
The closest zip codes to 95568 are 95556, 96039, 96027, 95546, 96031.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 95568, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.