99359 ZIP Code — Starbuck, WA
Columbia County, Washington
ZIP code 99359 is located in Starbuck, Washington, within Columbia County. It covers approximately 42.37 square miles and serves a population of 100 residents. This is a standard ZIP code in the Pacific (PT) timezone, served by area code 509.
100
population
42.37
sq mi land
Standard
ZIP type
Pacific (PT)
timezone
99359 ZIP code map
Cities in ZIP code 99359
Below are the cities the US Postal Service accepts for ZIP code 99359. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Starbuck | Acceptable |
Demographics
updated 05/2026
| Population | |
|---|---|
| Total population | 100 |
| Population density | 2 / sq mi |
| State FIPS | 53 |
| County FIPS | 013 |
| Geography | |
|---|---|
| Land area | 42.37 sq mi |
| Water area | 1.37 sq mi |
| Latitude | 46.4940 |
| Longitude | -118.1363 |
| Timezone | Pacific (PT) |
| Area code | 509 |
Total population by age
Gender
Race & ethnicity
Economics
updated 05/2026
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 68.1% | 35.2% | 31.7% |
| $50k – $100k | 12.1% | 37.8% | 30.6% |
| $100k – $200k | 14.3% | 20.7% | 27.1% |
| Over $200k | 5.5% | 6.2% | 10.6% |
Demographics & statistics
100
Population
2
People per sq mi
58.4
Median age
$51,500
Median household income
$41,367
Per capita income
$0
Median home value
$0
Median monthly rent
61.1%
Home ownership
18.0%
Poverty rate
1.7%
Unemployment
53
Housing units
10.2%
Bachelor's or higher
Age distribution
Male
Female
4
20–24
8
3
25–34
5
3
35–44
5
6
45–54
11
5
55–59
9
6
60–64
11
5
65–74
9
2
75–84
5
1
85+
2
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 0 | 0.0% |
| 18 and over | 100 | 100.0% |
| 65 and over | 24 | 24.0% |
| Median age | 58.4 years | |
Race & ethnicity
White
63.1%
Two or more races
12.6%
Black or African American
11.7%
American Indian / Alaska Native
9.7%
Hispanic or Latino
2.9%
| Group | Count | % |
|---|---|---|
| White | 65 | 63.1% |
| Two or more races | 13 | 12.6% |
| Black or African American | 12 | 11.7% |
| American Indian / Alaska Native | 10 | 9.7% |
| Hispanic or Latino | 3 | 2.9% |
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 68.1% | 35.2% | 31.7% |
| $50k – $100k | 12.1% | 37.8% | 30.6% |
| $100k – $200k | 14.3% | 20.7% | 27.1% |
| Over $200k | 5.5% | 6.2% | 10.6% |
Under $10k
11.1%
$10k–$15k
18.5%
$25k–$35k
9.3%
$35k–$50k
5.6%
$50k–$75k
22.2%
$75k–$100k
13.0%
$150k–$200k
11.1%
$200k+
9.3%
| Range | % of households |
|---|---|
| Under $10k | 11.1% |
| $10k–$15k | 18.5% |
| $25k–$35k | 9.3% |
| $35k–$50k | 5.6% |
| $50k–$75k | 22.2% |
| $75k–$100k | 13.0% |
| $150k–$200k | 11.1% |
| $200k+ | 9.3% |
| Median income | $51,500 |
Housing
Home values
Under $50k
48.5%
$100k–$150k
9.1%
$150k–$200k
18.2%
$200k–$300k
24.2%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $0 |
| Median rent / month | $0 |
| Owner occupied | 61.1% |
| Renter occupied | 38.9% |
| Vacant | 27.0% |
| Single-family detached | 68.9% |
| Large apartment buildings | 6.8% |
| Mobile homes | 18.9% |
| Median rooms | 4.8 |
| Avg household size (owned) | 1.61 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 6.8% |
| 2000–2009 | 6.8% |
| 1990–1999 | 6.8% |
| 1980–1989 | 0.0% |
| 1970–1979 | 14.9% |
| 1960–1969 | 20.3% |
| 1950–1959 | 0.0% |
| 1940–1949 | 4.1% |
| 1939 or earlier | 40.5% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.0% |
| 1 bedroom | 31.1% |
| 2 bedrooms | 28.4% |
| 3 bedrooms | 16.2% |
| 4 bedrooms | 17.6% |
| 5+ bedrooms | 6.8% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 3.7% |
| 1 vehicle | 9.3% |
| 2 vehicles | 55.6% |
| 3 or more | 31.5% |
Heating fuel
| Fuel type | % |
|---|---|
| Electricity | 61.1% |
| Propane / LP gas | 7.4% |
| Fuel oil | 5.6% |
| Wood | 24.1% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 35 | 64.8% |
| Cohabiting couple | 2 | 3.7% |
| Male householder, no spouse | 6 | 11.1% |
| Female householder, no spouse | 11 | 20.4% |
| Households with children under 18 | 0 | 0.0% |
| Households with seniors (65+) | 18 | 33.3% |
| Average household size | 1.85 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 5.7% | 3.1% |
| Married | 71.4% | 93.8% |
| Separated | 0.0% | 0.0% |
| Widowed | 14.3% | 0.0% |
| Divorced | 8.6% | 3.1% |
Education
Less than 9th grade
0.0%
Some HS, no diploma
5.7%
HS graduate
44.3%
Some college, no degree
37.5%
Associate's degree
2.3%
Bachelor's degree
6.8%
Graduate / professional
3.4%
| Metric | % |
|---|---|
| HS diploma or higher | 94.3% |
| Bachelor's or higher | 10.2% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 0 | 0.0% |
| Kindergarten | 0 | 0.0% |
| Elementary school | 0 | 0.0% |
| High school | 0 | 0.0% |
| College / grad school | 12 | 100.0% |
Employment
Industry of employment
Arts, food & hospitality
22.8%
Construction
14.0%
Agriculture & mining
12.3%
Public administration
12.3%
Education & healthcare
10.5%
Manufacturing
8.8%
Wholesale trade
8.8%
Other services
7.0%
Professional & management
3.5%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 49.1% |
| Service | 19.3% |
| Sales & office | 1.8% |
| Natural resources & construction | 5.3% |
| Production & transportation | 24.6% |
Employment type
| Type | % |
|---|---|
| Private sector | 35.1% |
| Government | 26.3% |
| Self-employed | 38.6% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 88.9% |
| Carpool | 8.9% |
| Public transit | 0.0% |
| Walk | 2.2% |
| Work from home | 0.0% |
| Other means | 0.0% |
| Avg commute (minutes) | 27.9 |
Poverty
All people
18.0%
Under 18 years
0.0%
18 and over
18.0%
Married-couple families
0.0%
Female-led households
0.0%
Income support
| Source | % of households |
|---|---|
| Social Security | 50.0% |
| Retirement income | 18.5% |
| Supplemental Security | 18.5% |
| Cash public assistance | 3.7% |
| Food stamps / SNAP | 22.2% |
Health indicators
| Condition | % |
|---|---|
| Obesity | 34.9% |
| High blood pressure | 39.3% |
| High cholesterol | 39.2% |
| Diabetes | 13.1% |
| Heart disease | 9.9% |
| Stroke | 4.5% |
| Asthma | 10.7% |
| Arthritis | 34.8% |
| Kidney disease | 4.2% |
| Pulmonary disease | 9.8% |
| Cancer | 10.5% |
| Behavior / access | % |
|---|---|
| Smoking | 16.6% |
| Binge drinking | 12.7% |
| No physical activity | 21.2% |
| Less than 7 hrs sleep | 26.9% |
| Depression | 24.4% |
| Fair or poor health | 17.4% |
| Poor mental health | 13.4% |
| Poor physical health | 13.7% |
| No health insurance | 9.4% |
| Visited doctor (checkup) | 73.4% |
| Visited dentist | 64.7% |
| Cholesterol screening | 93.0% |
| Teeth loss | 11.9% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 22 | 22.0% |
| Disability | % |
|---|---|
| Any disability | 54.0% |
| Under 18 | 0.0% |
| 18–64 years | 61.8% |
| 65 and over | 29.2% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 64.0% |
| Public insurance | 57.0% |
| No insurance | 2.0% |
| Uninsured under 19 | 0.0% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 100 | 100.0% |
| Spanish | 0 | 0.0% |
| Other Indo-European | 0 | 0.0% |
| Asian & Pacific Islander | 0 | 0.0% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 100 | 100.0% |
| Born in same state | 100 | 100.0% |
| Born in different state | 38 | 38.0% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 0 | 0.0% |
| Not a US citizen | 0 | 0.0% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Italian | 24 | 24% |
| French | 17 | 17% |
| Ancestry | Count | % |
|---|---|---|
| English | 3 | 3% |
| Polish | 3 | 3% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 54.0% |
| Internet access | 100.0% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 99359
What city is ZIP code 99359 in?
ZIP code 99359 is primarily assigned to Starbuck, Washington.
What county is ZIP code 99359 in?
ZIP code 99359 falls within Columbia County, Washington.
Does ZIP code 99359 have a large retiree population?
50% of households in ZIP code 99359 receive Social Security income, suggesting a significant retiree or disability population.
How educated is the population of ZIP code 99359?
10% of residents hold a bachelor's degree or higher — below the national average of ~33%, consistent with a trades-oriented local economy.
Does ZIP code 99359 have a large veteran population?
22% of civilians in ZIP code 99359 are veterans, above the national average of ~7%.
What is the poverty rate in ZIP code 99359?
18% of residents in ZIP code 99359 live below the poverty line, above the national average.
What timezone is ZIP code 99359 in?
ZIP code 99359 observes the PST timezone.