Zip code 98575: Quinault, Washington
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 98575
98575 is a rural zip code in Quinault, Washington (Grays Harbor County), covering 62 sq mi of land. About 113 people live here, or 2 per square mile. The median resident is 65 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 $68,125 a year, 16% below the national median of $80,734. 0.9% of residents live below the poverty line (U.S.: 12.5%). 92% of occupied homes are lived in by their owners.
15% of adults hold a bachelor's degree or higher (U.S.: 36%). Commuters average 38.5 minutes each way, and 3% of workers work from home. The most common jobs among working residents are in office and administrative support; management; and education.
How 98575 compares
Only about 113 people live here, so these survey estimates have wide margins of error.
- 99thU.S. 38.9 · WA 38.313th of 571 in WA
- Veterans19.5%99thU.S. 6.2% · WA 7.8%27th of 571 in WA
- Housing vacancy66.2%99thU.S. 10.1% · WA 7.3%9th of 563 in WA
- 99thU.S. 17.2% · WA 16.6%11th of 571 in WA
- Government workers63.2%99thU.S. 14.5% · WA 16%10th of 570 in WA
- Homeownership rate91.7%97thStrengthU.S. 65.2% · WA 63.8%49th of 563 in WA
- Average commute38.5 min96thWeaknessU.S. 26.4 min · WA 26.6 min43rd of 546 in WA
- 93rdWeaknessU.S. 5.2% · WA 5.1%63rd of 570 in WA
- Median earnings per worker$71,00088thStrengthU.S. $49,666 · WA $59,95990th of 566 in WA
- Per capita income$40,88152ndU.S. $44,673 · WA $53,744307th of 570 in WA
- Uninsured rate7.1%52ndU.S. 8.4% · WA 6.3%197th of 567 in WA
- Diversity index38.634thU.S. 61.4 · WA 56.5301st of 571 in WA
- Median household income$68,12533rdU.S. $80,734 · WA $98,141403rd of 541 in WA
- 16thU.S. 14.1% · WA 15.4%441st of 571 in WA
- 9thWeaknessU.S. 35.7% · WA 39.6%497th of 571 in WA
- Broadband access79.2%4thWeaknessU.S. 91% · WA 93.6%523rd of 563 in WA
- Work from home2.6%2ndU.S. 15.1% · WA 19.8%520th of 570 in WA
- Population1131stU.S. 334,922,499 · WA 7,816,116569th of 571 in WA
- Population density2/sq mi1stU.S. 95/sq mi · WA 118/sq mi552nd of 571 in WA
- Poverty rate0.9%1stStrengthU.S. 12.5% · WA 9.9%548th of 563 in WA
- 1stStrengthU.S. 51.1% · WA 49.9%516th of 541 in WA
- 1stU.S. 22% · WA 21.4%552nd of 571 in WA
- 1stU.S. 3.8% · WA 6.7%466th of 570 in WA
- 1stU.S. 9.7% · WA 9.3%533rd of 570 in WA
- 1stU.S. 10% · WA 9.6%549th of 570 in WA
- 1stStrengthU.S. 0.483 · WA 0.469542nd of 560 in WA
| Measure | 98575 | Grays Harbor | WA | U.S. | National percentile | Rank in WA |
|---|---|---|---|---|---|---|
| Median age | 65 | 44.7 | 38.3 | 38.9 | 13th of 571 | |
| Veterans | 19.5% | 10.9% | 7.8% | 6.2% | 27th of 571 | |
| Housing vacancy | 66.2% | 17.1% | 7.3% | 10.1% | 9th of 563 | |
| Residents 65 and older | 50.4% | 23.3% | 16.6% | 17.2% | 11th of 571 | |
| Government workers | 63.2% | 24.2% | 16% | 14.5% | 10th of 570 | |
| Homeownership rateStrength | 91.7% | 73.2% | 63.8% | 65.2% | 49th of 563 | |
| Average commuteWeakness | 38.5 min | 24.3 min | 26.6 min | 26.4 min | 43rd of 546 | |
| Unemployment rateWeakness | 9.5% | 7% | 5.1% | 5.2% | 63rd of 570 | |
| Median earnings per workerStrength | $71,000 | $45,877 | $59,959 | $49,666 | 90th of 566 | |
| Per capita income | $40,881 | $34,290 | $53,744 | $44,673 | 307th of 570 | |
| Uninsured rate | 7.1% | 7.6% | 6.3% | 8.4% | 197th of 567 | |
| Diversity index | 38.6 | 40.5 | 56.5 | 61.4 | 301st of 571 | |
| Median household income | $68,125 | $64,414 | $98,141 | $80,734 | 403rd of 541 | |
| Foreign-born residents | 2.7% | 5.6% | 15.4% | 14.1% | 441st of 571 | |
| Bachelor's degree or higherWeakness | 14.6% | 18.2% | 39.6% | 35.7% | 497th of 571 | |
| Broadband accessWeakness | 79.2% | 89.8% | 93.6% | 91% | 523rd of 563 | |
| Work from home | 2.6% | 10.3% | 19.8% | 15.1% | 520th of 570 | |
| Population | 113 | 77,053 | 7,816,116 | 334,922,499 | 569th of 571 | |
| Population density | 2/sq mi | 41/sq mi | 118/sq mi | 95/sq mi | 552nd of 571 | |
| Poverty rateStrength | 0.9% | 15.3% | 9.9% | 12.5% | 548th of 563 | |
| Rent-burdened rentersStrength | 0% | 48.9% | 49.9% | 51.1% | 516th of 541 | |
| Residents under 18 | 0% | 19.7% | 21.4% | 22% | 552nd of 571 | |
| Tech workers | 0% | 1.3% | 6.7% | 3.8% | 466th of 570 | |
| Healthcare workers | 0% | 9.3% | 9.3% | 9.7% | 533rd of 570 | |
| Self-employed workers | 0% | 9.1% | 9.6% | 10% | 549th of 570 | |
| Income inequality (Gini)Strength | 0.289 | 0.436 | 0.469 | 0.483 | 542nd 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
- White76%
- Black0%
- Hispanic6%
- Asian0%
- Native American0%
- Pacific Islander0%
- Other18%
- Multiracial0%
Language spoken at home (households)
Households
- Households
- 48
- Average household size
- 2.3
- Family households
- 100%
- Married couples
- 100%
- Living alone
- 0%
- Veterans (of adults)
- 19.5%
- Male / female
- 55% / 45%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 142
- Owner-occupied
- 91.7%
- Vacant
- 66.2%
- Median year built
- 1972
- Median rooms
- 6
- Renters paying 30%+ of income
- 0%
- Renters paying 50%+ of income
- 0%
- 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 | 98575 | U.S. |
|---|---|---|
| Management, business, science and arts | $67,500 | $74,888 |
| Service | — | $26,804 |
| Sales and office | — | $40,476 |
| Construction and maintenance | $16,250 | $49,199 |
| Production and transportation | — | $39,989 |
Education, internet and health coverage
Highest education (adults 25+)
- High school graduate or higher
- 90.3%
- Bachelor's degree or higher
- 14.6%
- Graduate or professional degree
- 2.9%
- Households with broadband
- 79.2%
- Cable, fiber or DSL
- 25%
- No internet access
- 20.8%
- Without health insurance
- 7.1%
- Limited-English households
- 0%
Geography
- City (USPS)
- Quinault
- State
- Washington
- County
- Grays Harbor County
- Center point
- 47.4545° N, 123.8012° W
- Land area
- 62 sq mi
- Water area
- 0.3 sq mi
- Time zone
- Pacific Time (UTC-8, UTC-7 in summer)
- Zip type
- Residential delivery area
Zip codes near 98575
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 98566 | Neilton, WA | 8.5 mi | $58,269 |
| 98526 | Amanda Park, WA | 9.1 mi | $58,162 |
| 98552 | Humptulips, WA | 12 mi | $47,396 |
| 98587 | Taholah, WA | 19 mi | $51,458 |
| 98563 | Montesano, WA | 19 mi | $84,634 |
| 98560 | Matlock, WA | 20 mi | $72,596 |
| 98536 | Copalis Crossing, WA | 23 mi | — |
| 98562 | Moclips, WA | 24 mi | — |
| 98550 | Hoquiam, WA | 24 mi | $55,040 |
| 98571 | Pacific Beach, WA | 26 mi | — |
| 98331 | Forks, WA | 27 mi | $62,135 |
| 98535 | Copalis Beach, WA | 28 mi | $92,544 |
Questions about 98575
What city is zip code 98575?
98575 is assigned to Quinault, Washington. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 98575 in?
98575 is in Grays Harbor County, Washington.
What is the population of 98575?
About 113 people live in 98575, according to the Census Bureau's American Community Survey.
What time zone is 98575 in?
98575 is in Pacific Time.
What is the median household income in 98575?
The median household income in 98575 is $68,125.
What zip codes are near 98575?
The closest zip codes to 98575 are 98566, 98526, 98552, 98587, 98563.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 98575, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.