Zip code 95571: Weott, California
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 95571
95571 is a rural zip code in Weott, California (Humboldt County), covering 6.6 sq mi of land. About 104 people live here, or 16 per square mile. The median resident is 37.9 years old, compared with 38.9 nationally. With so few residents, the Census figures below are rough estimates with wide margins of error.
100% of residents live below the poverty line (U.S.: 12.5%). 0% of occupied homes are lived in by their owners.
0% of adults hold a bachelor's degree or higher (U.S.: 36%).
How 95571 compares
Only about 104 people live here, so these survey estimates have wide margins of error.
- Poverty rate100%99thWeaknessU.S. 12.5% · CA 12%1st of 1,666 in CA
- 99thWeaknessU.S. 5.2% · CA 6.6%2nd of 1,681 in CA
- Broadband access100%99thStrengthU.S. 91% · CA 93.5%17th of 1,662 in CA
- Housing vacancy35.5%99thU.S. 10.1% · CA 7.5%148th of 1,664 in CA
- Diversity index56.865thU.S. 61.4 · CA 69.7760th of 1,688 in CA
- Median age37.941stU.S. 38.9 · CA 37.91,019th of 1,687 in CA
- Population density16/sq mi2ndU.S. 95/sq mi · CA 252/sq mi1,470th of 1,688 in CA
- Population1041stU.S. 334,922,499 · CA 39,287,3771,686th of 1,688 in CA
- 1stWeaknessU.S. 35.7% · CA 37.1%1,671st of 1,687 in CA
- 1stWeaknessU.S. 65.2% · CA 55.9%1,642nd of 1,662 in CA
- 1stStrengthU.S. 8.4% · CA 6.6%1,601st of 1,675 in CA
- Veterans0%1stU.S. 6.2% · CA 4.3%1,628th of 1,686 in CA
- 1stU.S. 14.1% · CA 27%1,644th of 1,688 in CA
- 1stU.S. 17.2% · CA 15.7%1,656th of 1,688 in CA
- 1stU.S. 22% · CA 22%1,630th of 1,688 in CA
| Measure | 95571 | Humboldt | CA | U.S. | National percentile | Rank in CA |
|---|---|---|---|---|---|---|
| Poverty rateWeakness | 100% | 18.7% | 12% | 12.5% | 1st of 1,666 | |
| Unemployment rateWeakness | 100% | 9% | 6.6% | 5.2% | 2nd of 1,681 | |
| Broadband accessStrength | 100% | 90.9% | 93.5% | 91% | 17th of 1,662 | |
| Housing vacancy | 35.5% | 12.7% | 7.5% | 10.1% | 148th of 1,664 | |
| Diversity index | 56.8 | 48.8 | 69.7 | 61.4 | 760th of 1,688 | |
| Median age | 37.9 | 39.9 | 37.9 | 38.9 | 1,019th of 1,687 | |
| Population density | 16/sq mi | 38/sq mi | 252/sq mi | 95/sq mi | 1,470th of 1,688 | |
| Population | 104 | 134,541 | 39,287,377 | 334,922,499 | 1,686th of 1,688 | |
| Bachelor's degree or higherWeakness | 0% | 33.1% | 37.1% | 35.7% | 1,671st of 1,687 | |
| Homeownership rateWeakness | 0% | 56.5% | 55.9% | 65.2% | 1,642nd of 1,662 | |
| Uninsured rateStrength | 0% | 4.9% | 6.6% | 8.4% | 1,601st of 1,675 | |
| Veterans | 0% | 6% | 4.3% | 6.2% | 1,628th of 1,686 | |
| Foreign-born residents | 0% | 6.2% | 27% | 14.1% | 1,644th of 1,688 | |
| Residents 65 and older | 0% | 19.8% | 15.7% | 17.2% | 1,656th of 1,688 | |
| Residents under 18 | 0% | 18.8% | 22% | 22% | 1,630th of 1,688 |
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
- White57%
- Black13%
- Hispanic0%
- Asian0%
- Native American0%
- Pacific Islander0%
- Other0%
- Multiracial31%
Language spoken at home (households)
Households
- Households
- 49
- Average household size
- 1.7
- Family households
- 100%
- Married couples
- 0%
- Living alone
- 0%
- Veterans (of adults)
- 0%
- Male / female
- 22% / 78%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 76
- Owner-occupied
- 0%
- Vacant
- 35.5%
- Median year built
- —
- Median rooms
- —
- Renters paying 30%+ of income
- —
- Renters paying 50%+ of income
- —
- Home value to income
- —
Work and commute
How people get to work
No data reported.
Commute time (one way)
No data reported.
Education, internet and health coverage
Highest education (adults 25+)
- High school graduate or higher
- 86.2%
- Bachelor's degree or higher
- 0%
- Graduate or professional degree
- 0%
- Households with broadband
- 100%
- Cable, fiber or DSL
- 0%
- No internet access
- 0%
- Without health insurance
- 0%
- Limited-English households
- 0%
Geography
- City (USPS)
- Weott
- State
- California
- County
- Humboldt County
- Center point
- 40.3655° N, 123.9443° W
- Land area
- 6.6 sq mi
- Water area
- 0.1 sq mi
- Time zone
- Pacific Time (UTC-8, UTC-7 in summer)
- Zip type
- Residential delivery area
Cities and towns within this zip
- Weott (unincorporated)10% of zip
Census places overlapping the zip's area. Mail may use a different city name than the municipality.
Zip codes near 95571
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 95569 | Redcrest, CA | 4.3 mi | — |
| 95565 | Scotia, CA | 7.2 mi | $57,083 |
| 95528 | Carlotta, CA | 9.1 mi | $55,481 |
| 95562 | Rio Dell, CA | 9.7 mi | $42,975 |
| 95554 | Myers Flat, CA | 10 mi | $33,125 |
| 95553 | Miranda, CA | 10 mi | $41,450 |
| 95545 | Honeydew, CA | 10 mi | — |
| 95526 | Bridgeville, CA | 16 mi | $39,583 |
| 95547 | Hydesville, CA | 16 mi | $96,827 |
| 95514 | Blocksburg, CA | 16 mi | — |
| 95559 | Phillipsville, CA | 16 mi | — |
| 95560 | Redway, CA | 16 mi | $23,720 |
Questions about 95571
What city is zip code 95571?
95571 is assigned to Weott, California. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 95571 in?
95571 is in Humboldt County, California.
What is the population of 95571?
About 104 people live in 95571, according to the Census Bureau's American Community Survey.
What time zone is 95571 in?
95571 is in Pacific Time.
What zip codes are near 95571?
The closest zip codes to 95571 are 95569, 95565, 95528, 95562, 95554.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 95571, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.