Zip code 98827: Loomis, Washington
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 98827
98827 is a rural zip code in Loomis, Washington (Okanogan County), covering 320 sq mi of land. About 289 people live here. The median resident is 60.4 years old, compared with 38.9 nationally. With so few residents, the Census figures below are rough estimates with wide margins of error.
The median household earns $43,309 a year, about 54% of the national median of $80,734. 12.1% of residents live below the poverty line (U.S.: 12.5%). 43% of occupied homes are lived in by their owners, and renters pay a median of $1,663 a month.
6% of adults hold a bachelor's degree or higher (U.S.: 36%). The most common jobs among working residents are in construction and repair; healthcare; and transportation and moving goods. 37% of households speak a language other than English at home, most often Spanish.
How 98827 compares
Only about 289 people live here, so these survey estimates have wide margins of error.
- Median age60.499thU.S. 38.9 · WA 38.340th of 571 in WA
- Housing vacancy35.1%99thU.S. 10.1% · WA 7.3%52nd of 563 in WA
- 99thWeaknessU.S. 51.1% · WA 49.9%10th of 541 in WA
- 99thU.S. 17.2% · WA 16.6%19th of 571 in WA
- Healthcare workers18.5%99thU.S. 9.7% · WA 9.3%24th of 570 in WA
- Veterans13.8%97thU.S. 6.2% · WA 7.8%83rd of 571 in WA
- Government workers18.5%79thU.S. 14.5% · WA 16%245th of 570 in WA
- Median earnings per worker$58,81973rdU.S. $49,666 · WA $59,959196th of 566 in WA
- Median gross rent$1,66365thU.S. $1,413 · WA $1,760176th of 475 in WA
- Poverty rate12.1%56thU.S. 12.5% · WA 9.9%193rd of 563 in WA
- 53rdU.S. 14.1% · WA 15.4%191st of 571 in WA
- Diversity index45.945thU.S. 61.4 · WA 56.5231st of 571 in WA
- Work from home6.9%16thU.S. 15.1% · WA 19.8%472nd of 570 in WA
- 11thWeaknessU.S. 65.2% · WA 63.8%522nd of 563 in WA
- Per capita income$25,92710thWeaknessU.S. $44,673 · WA $53,744529th of 570 in WA
- Median household income$43,3095thWeaknessU.S. $80,734 · WA $98,141528th of 541 in WA
- Population2891stU.S. 334,922,499 · WA 7,816,116526th of 571 in WA
- Population density1/sq mi1stU.S. 95/sq mi · WA 118/sq mi567th of 571 in WA
- 1stWeaknessU.S. 35.7% · WA 39.6%552nd of 571 in WA
- 1stStrengthU.S. 5.2% · WA 5.1%543rd of 570 in WA
- Broadband access72.6%1stWeaknessU.S. 91% · WA 93.6%545th of 563 in WA
- 1stStrengthU.S. 8.4% · WA 6.3%552nd of 567 in WA
- 1stU.S. 22% · WA 21.4%521st of 571 in WA
- 1stU.S. 3.8% · WA 6.7%503rd of 570 in WA
- 1stU.S. 10% · WA 9.6%557th of 570 in WA
- 1stStrengthU.S. 0.483 · WA 0.469553rd of 560 in WA
| Measure | 98827 | Okanogan | WA | U.S. | National percentile | Rank in WA |
|---|---|---|---|---|---|---|
| Median age | 60.4 | 43.2 | 38.3 | 38.9 | 40th of 571 | |
| Housing vacancy | 35.1% | 20.8% | 7.3% | 10.1% | 52nd of 563 | |
| Rent-burdened rentersWeakness | 100% | 39.2% | 49.9% | 51.1% | 10th of 541 | |
| Residents 65 and older | 47.1% | 23.2% | 16.6% | 17.2% | 19th of 571 | |
| Healthcare workers | 18.5% | 8% | 9.3% | 9.7% | 24th of 570 | |
| Veterans | 13.8% | 9% | 7.8% | 6.2% | 83rd of 571 | |
| Government workers | 18.5% | 20.9% | 16% | 14.5% | 245th of 570 | |
| Median earnings per worker | $58,819 | $39,416 | $59,959 | $49,666 | 196th of 566 | |
| Median gross rent | $1,663 | $887 | $1,760 | $1,413 | 176th of 475 | |
| Poverty rate | 12.1% | 20.7% | 9.9% | 12.5% | 193rd of 563 | |
| Foreign-born residents | 10.7% | 13.2% | 15.4% | 14.1% | 191st of 571 | |
| Diversity index | 45.9 | 55.6 | 56.5 | 61.4 | 231st of 571 | |
| Work from home | 6.9% | 16.2% | 19.8% | 15.1% | 472nd of 570 | |
| Homeownership rateWeakness | 43% | 72.4% | 63.8% | 65.2% | 522nd of 563 | |
| Per capita incomeWeakness | $25,927 | $33,889 | $53,744 | $44,673 | 529th of 570 | |
| Median household incomeWeakness | $43,309 | $63,207 | $98,141 | $80,734 | 528th of 541 | |
| Population | 289 | 43,425 | 7,816,116 | 334,922,499 | 526th of 571 | |
| Population density | 1/sq mi | 8/sq mi | 118/sq mi | 95/sq mi | 567th of 571 | |
| Bachelor's degree or higherWeakness | 6% | 24.7% | 39.6% | 35.7% | 552nd of 571 | |
| Unemployment rateStrength | 0% | 4.5% | 5.1% | 5.2% | 543rd of 570 | |
| Broadband accessWeakness | 72.6% | 86.9% | 93.6% | 91% | 545th of 563 | |
| Uninsured rateStrength | 0% | 14.9% | 6.3% | 8.4% | 552nd of 567 | |
| Residents under 18 | 8% | 21.6% | 21.4% | 22% | 521st of 571 | |
| Tech workers | 0% | 0.9% | 6.7% | 3.8% | 503rd of 570 | |
| Self-employed workers | 0% | 14.6% | 9.6% | 10% | 557th of 570 | |
| Income inequality (Gini)Strength | 0.245 | 0.459 | 0.469 | 0.483 | 553rd of 560 |
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
- White64%
- Black0%
- Hispanic36%
- Asian0%
- Native American0%
- Pacific Islander0%
- Other0%
- Multiracial0%
Language spoken at home (households)
Households
- Households
- 179
- Average household size
- 1.6
- Family households
- 50.8%
- Married couples
- 47.5%
- Living alone
- 46.9%
- Veterans (of adults)
- 13.8%
- Male / female
- 52% / 48%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 276
- Owner-occupied
- 43%
- Vacant
- 35.1%
- Median year built
- 1991
- Median rooms
- 3.7
- Renters paying 30%+ of income
- 100%
- Renters paying 50%+ of income
- 100%
- 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 | 98827 | 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
- 82%
- Bachelor's degree or higher
- 6%
- Graduate or professional degree
- 0%
- Households with broadband
- 72.6%
- Cable, fiber or DSL
- 52.5%
- No internet access
- 0%
- Without health insurance
- 0%
- Limited-English households
- 0%
Geography
- City (USPS)
- Loomis
- State
- Washington
- County
- Okanogan County
- Center point
- 48.8563° N, 119.7521° W
- Land area
- 320 sq mi
- Water area
- 4.4 sq mi
- Time zone
- Pacific Time (UTC-8, UTC-7 in summer)
- Zip type
- Residential delivery area
Zip codes near 98827
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 98819 | Conconully, WA | 19 mi | $63,000 |
| 98844 | Oroville, WA | 24 mi | $44,201 |
| 98855 | Tonasket, WA | 26 mi | $60,179 |
| 98849 | Riverside, WA | 27 mi | $63,875 |
| 98862 | Winthrop, WA | 28 mi | $71,080 |
| 98829 | Malott, WA | 39 mi | $36,875 |
| 98841 | Omak, WA | 39 mi | $71,809 |
| 98840 | Okanogan, WA | 41 mi | $57,342 |
| 98856 | Twisp, WA | 43 mi | $70,089 |
| 98812 | Brewster, WA | 50 mi | $59,297 |
| 99155 | Nespelem, WA | 51 mi | $50,909 |
| 98814 | Carlton, WA | 52 mi | $98,715 |
Questions about 98827
What city is zip code 98827?
98827 is assigned to Loomis, Washington. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 98827 in?
98827 is in Okanogan County, Washington.
What is the population of 98827?
About 289 people live in 98827, according to the Census Bureau's American Community Survey.
What time zone is 98827 in?
98827 is in Pacific Time.
What is the median household income in 98827?
The median household income in 98827 is $43,309.
What zip codes are near 98827?
The closest zip codes to 98827 are 98819, 98844, 98855, 98849, 98862.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 98827, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.