Zip code 90822: Long Beach, California
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 90822
90822 is a suburban zip code in Long Beach, California (Los Angeles County), covering 0.2 sq mi of land. About 93 people live here, or 574 per square mile. The median resident is 72.3 years old, compared with 38.9 nationally. With so few residents, the Census figures below are rough estimates with wide margins of error.
64.7% of residents live below the poverty line (U.S.: 12.5%).
40% of adults hold a bachelor's degree or higher (U.S.: 36%).
How 90822 compares
Only about 93 people live here, so these survey estimates have wide margins of error.
- U.S. 334,922,499 · CA 39,287,377
- Population density574/sq miU.S. 95/sq mi · CA 252/sq mi
- Per capita income$9,517U.S. $44,673 · CA $49,513
- Median age72.3U.S. 38.9 · CA 37.9
- Poverty rate64.7%U.S. 12.5% · CA 12%
- U.S. 35.7% · CA 37.1%
- U.S. 15.1% · CA 17.2%
- Unemployment rate66.7%U.S. 5.2% · CA 6.6%
- Diversity index64.8U.S. 61.4 · CA 69.7
- U.S. 8.4% · CA 6.6%
- Veterans1.1%U.S. 6.2% · CA 4.3%
- U.S. 14.1% · CA 27%
- U.S. 17.2% · CA 15.7%
- U.S. 22% · CA 22%
- U.S. 3.8% · CA 4.4%
- U.S. 9.7% · CA 9.4%
- U.S. 10% · CA 11.4%
- U.S. 14.5% · CA 14.8%
| Measure | 90822 | Los Angeles | CA | U.S. | National percentile | Rank in CA |
|---|---|---|---|---|---|---|
| Population | 93 | 9,808,667 | 39,287,377 | 334,922,499 | — | — |
| Population density | 574/sq mi | 2,416/sq mi | 252/sq mi | 95/sq mi | — | — |
| Per capita income | $9,517 | $45,792 | $49,513 | $44,673 | — | — |
| Median age | 72.3 | 38.2 | 37.9 | 38.9 | — | — |
| Poverty rate | 64.7% | 13.7% | 12% | 12.5% | — | — |
| Bachelor's degree or higher | 39.8% | 36% | 37.1% | 35.7% | — | — |
| Work from home | 0% | 17.1% | 17.2% | 15.1% | — | — |
| Unemployment rate | 66.7% | 7.3% | 6.6% | 5.2% | — | — |
| Diversity index | 64.8 | 67.5 | 69.7 | 61.4 | — | — |
| Uninsured rate | 0% | 8.2% | 6.6% | 8.4% | — | — |
| Veterans | 1.1% | 2.7% | 4.3% | 6.2% | — | — |
| Foreign-born residents | 32.3% | 33.4% | 27% | 14.1% | — | — |
| Residents 65 and older | 54.8% | 15.2% | 15.7% | 17.2% | — | — |
| Residents under 18 | 0% | 20.6% | 22% | 22% | — | — |
| Tech workers | 0% | 2.8% | 4.4% | 3.8% | — | — |
| Healthcare workers | 0% | 9.5% | 9.4% | 9.7% | — | — |
| Self-employed workers | 0% | 13.5% | 11.4% | 10% | — | — |
| Government workers | 0% | 13% | 14.8% | 14.5% | — | — |
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
- White45%
- Black23%
- Hispanic31%
- Asian1%
- Native American0%
- Pacific Islander0%
- Other0%
- Multiracial0%
Language spoken at home (households)
No data reported.
Households
- Households
- 0
- Average household size
- —
- Family households
- —
- Married couples
- —
- Living alone
- —
- Veterans (of adults)
- 1.1%
- Male / female
- 84% / 16%
Income and poverty
Household income distribution
No data reported.
Median household income
Housing
Median home value
Median gross rent
Types of housing
No data reported.
- Housing units
- 0
- Owner-occupied
- —
- Vacant
- —
- 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
Commute time (one way)
Jobs and careers
Occupations
Industries
Median earnings by type of work
| Type of work | 90822 | 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
- 75%
- Bachelor's degree or higher
- 39.8%
- Graduate or professional degree
- 3.4%
- Households with broadband
- —
- Cable, fiber or DSL
- —
- No internet access
- —
- Without health insurance
- 0%
- Limited-English households
- —
Geography
- City (USPS)
- Long Beach
- State
- California
- County
- Los Angeles County
- Center point
- 33.7784° N, 118.1187° W
- Land area
- 0.2 sq mi
- Water area
- under 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
- Long Beach100% of zip
Census places overlapping the zip's area. Mail may use a different city name than the municipality.
Zip codes near 90822
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 90840 | Long Beach, CA | 0.5 mi | — |
| 90815 | Long Beach, CA | 1.2 mi | $119,716 |
| 90814 | Long Beach, CA | 1.5 mi | $104,650 |
| 90804 | Long Beach, CA | 1.7 mi | $71,614 |
| 90803 | Long Beach, CA | 1.9 mi | $114,656 |
| 90740 | Seal Beach, CA | 3.1 mi | $85,347 |
| 90808 | Long Beach, CA | 3.2 mi | $137,855 |
| 90755 | Signal Hill, CA | 3.3 mi | $113,512 |
| 90721 | Los Alamitos, CA · PO box | 3.3 mi | — |
| 90720 | Los Alamitos, CA | 3.4 mi | $135,851 |
| 90846 | Long Beach, CA · PO box | 3.7 mi | — |
| 90743 | Surfside, CA | 3.7 mi | $170,966 |
Questions about 90822
What city is zip code 90822?
90822 is assigned to Long Beach, California. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 90822 in?
90822 is in Los Angeles County, California.
What is the population of 90822?
About 93 people live in 90822, according to the Census Bureau's American Community Survey.
What time zone is 90822 in?
90822 is in Pacific Time.
What zip codes are near 90822?
The closest zip codes to 90822 are 90840, 90815, 90814, 90804, 90803.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 90822, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.