Zip code 98585: Silver Creek, Washington
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 98585
98585 is a rural zip code in Silver Creek, Washington (Lewis County), covering 23 sq mi of land. About 465 people live here, or 21 per square mile. The median resident is 52.8 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 $74,167 a year, close to the national median of $80,734. 0% of residents live below the poverty line (U.S.: 12.5%). A typical home is valued at $411,700, or 5.6 years of median household income (U.S.: 4.1 years), which makes homes relatively expensive for local earners. 95% of occupied homes are lived in by their owners.
3% of adults hold a bachelor's degree or higher (U.S.: 36%). The most common jobs among working residents are in production and manufacturing; management; and transportation and moving goods. 26% of them are self-employed (U.S.: 10%).
How 98585 compares
Only about 465 people live here, so these survey estimates have wide margins of error.
- Homeownership rate94.9%99thStrengthU.S. 65.2% · WA 63.8%27th of 563 in WA
- 99thWeaknessU.S. 51.1% · WA 49.9%6th of 541 in WA
- 99thU.S. 17.2% · WA 16.6%29th of 571 in WA
- 99thU.S. 10% · WA 9.6%33rd of 570 in WA
- Median age52.897thU.S. 38.9 · WA 38.3103rd of 571 in WA
- Broadband access94.4%70thU.S. 91% · WA 93.6%201st of 563 in WA
- Housing vacancy9.3%68thU.S. 10.1% · WA 7.3%237th of 563 in WA
- 65thU.S. 8.4% · WA 6.3%132nd of 567 in WA
- Median home value$411,70064thU.S. $332,700 · WA $564,600323rd of 536 in WA
- Per capita income$42,64457thU.S. $44,673 · WA $53,744275th of 570 in WA
- Veterans6%52ndU.S. 6.2% · WA 7.8%424th of 571 in WA
- Median household income$74,16742ndU.S. $80,734 · WA $98,141355th of 541 in WA
- Median earnings per worker$37,29215thWeaknessU.S. $49,666 · WA $59,959493rd of 566 in WA
- 14thU.S. 22% · WA 21.4%389th of 571 in WA
- Population density21/sq mi3rdU.S. 95/sq mi · WA 118/sq mi412th of 571 in WA
- Population4651stU.S. 334,922,499 · WA 7,816,116491st of 571 in WA
- 1stStrengthU.S. 12.5% · WA 9.9%559th of 563 in WA
- 1stWeaknessU.S. 35.7% · WA 39.6%565th of 571 in WA
- 1stU.S. 15.1% · WA 19.8%551st of 570 in WA
- 1stStrengthU.S. 5.2% · WA 5.1%538th of 570 in WA
- 1stU.S. 61.4 · WA 56.5569th of 571 in WA
- 1stU.S. 14.1% · WA 15.4%545th of 571 in WA
- 1stU.S. 3.8% · WA 6.7%492nd of 570 in WA
- 1stU.S. 9.7% · WA 9.3%543rd of 570 in WA
- 1stU.S. 14.5% · WA 16%562nd of 570 in WA
- 1stStrengthU.S. 0.483 · WA 0.469547th of 560 in WA
| Measure | 98585 | Lewis | WA | U.S. | National percentile | Rank in WA |
|---|---|---|---|---|---|---|
| Homeownership rateStrength | 94.9% | 75.8% | 63.8% | 65.2% | 27th of 563 | |
| Rent-burdened rentersWeakness | 100% | 50.1% | 49.9% | 51.1% | 6th of 541 | |
| Residents 65 and older | 43.2% | 21.4% | 16.6% | 17.2% | 29th of 571 | |
| Self-employed workers | 26.1% | 9.6% | 9.6% | 10% | 33rd of 570 | |
| Median age | 52.8 | 42.2 | 38.3 | 38.9 | 103rd of 571 | |
| Broadband access | 94.4% | 87.9% | 93.6% | 91% | 201st of 563 | |
| Housing vacancy | 9.3% | 9.8% | 7.3% | 10.1% | 237th of 563 | |
| Uninsured rate | 9% | 6.3% | 6.3% | 8.4% | 132nd of 567 | |
| Median home value | $411,700 | $385,800 | $564,600 | $332,700 | 323rd of 536 | |
| Per capita income | $42,644 | $36,049 | $53,744 | $44,673 | 275th of 570 | |
| Veterans | 6% | 9.4% | 7.8% | 6.2% | 424th of 571 | |
| Median household income | $74,167 | $74,796 | $98,141 | $80,734 | 355th of 541 | |
| Median earnings per workerWeakness | $37,292 | $47,439 | $59,959 | $49,666 | 493rd of 566 | |
| Residents under 18 | 17% | 21.6% | 21.4% | 22% | 389th of 571 | |
| Population density | 21/sq mi | 35/sq mi | 118/sq mi | 95/sq mi | 412th of 571 | |
| Population | 465 | 85,154 | 7,816,116 | 334,922,499 | 491st of 571 | |
| Poverty rateStrength | 0% | 12.2% | 9.9% | 12.5% | 559th of 563 | |
| Bachelor's degree or higherWeakness | 3.1% | 21.5% | 39.6% | 35.7% | 565th of 571 | |
| Work from home | 0% | 9.7% | 19.8% | 15.1% | 551st of 570 | |
| Unemployment rateStrength | 0% | 5.3% | 5.1% | 5.2% | 538th of 570 | |
| Diversity index | 0 | 34.6 | 56.5 | 61.4 | 569th of 571 | |
| Foreign-born residents | 0% | 5.3% | 15.4% | 14.1% | 545th of 571 | |
| Tech workers | 0% | 1.8% | 6.7% | 3.8% | 492nd of 570 | |
| Healthcare workers | 0% | 9% | 9.3% | 9.7% | 543rd of 570 | |
| Government workers | 0% | 19.5% | 16% | 14.5% | 562nd of 570 | |
| Income inequality (Gini)Strength | 0.278 | 0.424 | 0.469 | 0.483 | 547th 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
- White100%
- Black0%
- Hispanic0%
- Asian0%
- Native American0%
- Pacific Islander0%
- Other0%
- Multiracial0%
Language spoken at home (households)
Households
- Households
- 234
- Average household size
- 2
- Family households
- 40.6%
- Married couples
- 40.6%
- Living alone
- 36.8%
- Veterans (of adults)
- 6%
- 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
- 258
- Owner-occupied
- 94.9%
- Vacant
- 9.3%
- Median year built
- 1986
- Median rooms
- 6
- Renters paying 30%+ of income
- 100%
- Renters paying 50%+ of income
- 0%
- Home value to income
- 5.6× (U.S. 4.1×)
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 | 98585 | 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 | $51,067 | $39,989 |
Education, internet and health coverage
Highest education (adults 25+)
- High school graduate or higher
- 89.1%
- Bachelor's degree or higher
- 3.1%
- Graduate or professional degree
- 3.1%
- Households with broadband
- 94.4%
- Cable, fiber or DSL
- 30.3%
- No internet access
- 5.6%
- Without health insurance
- 9%
- Limited-English households
- 0%
Geography
- City (USPS)
- Silver Creek
- State
- Washington
- County
- Lewis County
- Center point
- 46.5734° N, 122.4446° W
- Land area
- 23 sq mi
- Water area
- 2.4 sq mi
- Time zone
- Pacific Time (UTC-8, UTC-7 in summer)
- Zip type
- Residential delivery area
Zip codes near 98585
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 98533 | Cinebar, WA | 6.5 mi | $39,208 |
| 98356 | Morton, WA | 8.2 mi | $60,060 |
| 98564 | Mossyrock, WA | 8.6 mi | $60,147 |
| 98582 | Salkum, WA | 9.3 mi | $89,387 |
| 98570 | Onalaska, WA | 11 mi | $95,795 |
| 98542 | Ethel, WA | 14 mi | $52,963 |
| 98591 | Toledo, WA | 17 mi | $78,952 |
| 98336 | Glenoma, WA | 18 mi | $67,632 |
| 98649 | Toutle, WA | 18 mi | $73,750 |
| 98330 | Elbe, WA | 19 mi | — |
| 98597 | Yelm, WA | 19 mi | $92,219 |
| 98348 | La Grande, WA · PO box | 19 mi | — |
Questions about 98585
What city is zip code 98585?
98585 is assigned to Silver Creek, Washington. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 98585 in?
98585 is in Lewis County, Washington.
What is the population of 98585?
About 465 people live in 98585, according to the Census Bureau's American Community Survey.
What time zone is 98585 in?
98585 is in Pacific Time.
What is the median household income in 98585?
The median household income in 98585 is $74,167.
What zip codes are near 98585?
The closest zip codes to 98585 are 98533, 98356, 98564, 98582, 98570.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 98585, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.