98939 ZIP Code — Parker, WA
Yakima County, Washington
ZIP code 98939 is located in Parker, Washington, within Yakima County. It covers approximately 0.62 square miles and serves a population of 90 residents. This is a standard ZIP code in the Pacific (PT) timezone, served by area code 509.
90
population
0.62
sq mi land
Standard
ZIP type
Pacific (PT)
timezone
98939 ZIP code map
Cities in ZIP code 98939
Below are the cities the US Postal Service accepts for ZIP code 98939. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Parker | Acceptable |
Demographics
updated 05/2026
| Population | |
|---|---|
| Total population | 90 |
| Population density | 145 / sq mi |
| State FIPS | 53 |
| County FIPS | 077 |
| Geography | |
|---|---|
| Land area | 0.62 sq mi |
| Water area | 0.00 sq mi |
| Latitude | 46.5011 |
| Longitude | -120.4643 |
| 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 | 100.0% | 45.0% | 31.7% |
| $50k – $100k | 0.0% | 34.4% | 30.6% |
| $100k – $200k | 0.0% | 17.0% | 27.1% |
| Over $200k | 0.0% | 3.6% | 10.6% |
Demographics & statistics
90
Population
145
People per sq mi
46.2
Median age
$46,389
Median household income
$13,791
Per capita income
$0
Median home value
$0
Median monthly rent
66.7%
Home ownership
0.0%
Poverty rate
0.0%
Unemployment
20
Housing units
0.0%
Bachelor's or higher
Age distribution
Male
Female
12
10–14
9
6
15–19
4
5
25–34
4
12
45–54
9
11
60–64
8
6
75–84
4
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 31 | 34.4% |
| 18 and over | 59 | 65.6% |
| 65 and over | 10 | 11.1% |
| Median age | 46.2 years | |
Race & ethnicity
Hispanic or Latino
36.6%
Other race
36.6%
White
26.8%
| Group | Count | % |
|---|---|---|
| Hispanic or Latino | 52 | 36.6% |
| Other race | 52 | 36.6% |
| White | 38 | 26.8% |
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 100.0% | 45.0% | 31.7% |
| $50k – $100k | 0.0% | 34.4% | 30.6% |
| $100k – $200k | 0.0% | 17.0% | 27.1% |
| Over $200k | 0.0% | 3.6% | 10.6% |
$15k–$25k
33.3%
$35k–$50k
30.0%
$50k–$75k
36.7%
| Range | % of households |
|---|---|
| $15k–$25k | 33.3% |
| $35k–$50k | 30.0% |
| $50k–$75k | 36.7% |
| Median income | $46,389 |
Housing
Home values
$150k–$200k
100.0%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $0 |
| Median rent / month | $0 |
| Owner occupied | 66.7% |
| Renter occupied | 33.3% |
| Vacant | 0.0% |
| Single-family detached | 66.7% |
| Large apartment buildings | 0.0% |
| Mobile homes | 33.3% |
| Median rooms | 6.9 |
| Avg household size (owned) | 4.00 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 0.0% |
| 2000–2009 | 0.0% |
| 1990–1999 | 33.3% |
| 1980–1989 | 0.0% |
| 1970–1979 | 0.0% |
| 1960–1969 | 0.0% |
| 1950–1959 | 0.0% |
| 1940–1949 | 0.0% |
| 1939 or earlier | 66.7% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.0% |
| 1 bedroom | 0.0% |
| 2 bedrooms | 0.0% |
| 3 bedrooms | 36.7% |
| 4 bedrooms | 63.3% |
| 5+ bedrooms | 0.0% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 0.0% |
| 1 vehicle | 33.3% |
| 2 vehicles | 30.0% |
| 3 or more | 36.7% |
Heating fuel
| Fuel type | % |
|---|---|
| Electricity | 100.0% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 20 | 66.7% |
| Cohabiting couple | 0 | 0.0% |
| Male householder, no spouse | 10 | 33.3% |
| Female householder, no spouse | 0 | 0.0% |
| Households with children under 18 | 11 | 36.7% |
| Households with seniors (65+) | 10 | 33.3% |
| Average household size | 3.00 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 22.5% | 34.5% |
| Married | 52.5% | 65.5% |
| Separated | 0.0% | 0.0% |
| Widowed | 25.0% | 0.0% |
| Divorced | 0.0% | 0.0% |
Education
Less than 9th grade
33.9%
Some HS, no diploma
15.3%
HS graduate
15.3%
Some college, no degree
35.6%
Associate's degree
0.0%
Bachelor's degree
0.0%
Graduate / professional
0.0%
| Metric | % |
|---|---|
| HS diploma or higher | 50.8% |
| Bachelor's or higher | 0.0% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 0 | 0.0% |
| Kindergarten | 0 | 0.0% |
| Elementary school | 11 | 35.5% |
| High school | 20 | 64.5% |
| College / grad school | 0 | 0.0% |
Employment
Industry of employment
Agriculture & mining
64.5%
Arts, food & hospitality
35.5%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 35.5% |
| Service | 0.0% |
| Sales & office | 0.0% |
| Natural resources & construction | 32.3% |
| Production & transportation | 32.3% |
Employment type
| Type | % |
|---|---|
| Private sector | 100.0% |
| Government | 0.0% |
| Self-employed | 0.0% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 100.0% |
| Carpool | 0.0% |
| Public transit | 0.0% |
| Walk | 0.0% |
| Work from home | 0.0% |
| Other means | 0.0% |
| Avg commute (minutes) | 0.0 |
Poverty
All people
0.0%
Under 18 years
0.0%
18 and over
0.0%
Married-couple families
0.0%
Female-led households
0.0%
Income support
| Source | % of households |
|---|---|
| Social Security | 63.3% |
| Retirement income | 30.0% |
| Supplemental Security | 30.0% |
| Cash public assistance | 0.0% |
| Food stamps / SNAP | 36.7% |
Health indicators
| Condition | % |
|---|---|
| Obesity | 36.3% |
| High blood pressure | 32.2% |
| High cholesterol | 31.6% |
| Diabetes | 11.4% |
| Heart disease | 6.9% |
| Stroke | 3.5% |
| Asthma | 11.3% |
| Arthritis | 22.9% |
| Kidney disease | 3.2% |
| Pulmonary disease | 7.6% |
| Cancer | 5.4% |
| Behavior / access | % |
|---|---|
| Smoking | 19.1% |
| Binge drinking | 14.4% |
| No physical activity | 25.5% |
| Less than 7 hrs sleep | 31.6% |
| Depression | 25.1% |
| Fair or poor health | 19.6% |
| Poor mental health | 17.1% |
| Poor physical health | 13.0% |
| No health insurance | 22.7% |
| Visited doctor (checkup) | 66.5% |
| Visited dentist | 58.0% |
| Cholesterol screening | 84.0% |
| Teeth loss | 17.4% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 0 | 0.0% |
| Disability | % |
|---|---|
| Any disability | 10.0% |
| Under 18 | 0.0% |
| 18–64 years | 18.4% |
| 65 and over | 0.0% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 11.1% |
| Public insurance | 55.6% |
| No insurance | 44.4% |
| Uninsured under 19 | 0.0% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 90 | 100.0% |
| Spanish | 40 | 44.4% |
| Other Indo-European | 40 | 44.4% |
| Asian & Pacific Islander | 0 | 0.0% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 41 | 45.6% |
| Born in same state | 41 | 45.6% |
| Born in different state | 41 | 45.6% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 49 | 54.4% |
| Not a US citizen | 0 | 0.0% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 33.3% |
| Internet access | 66.7% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 98939
What city is ZIP code 98939 in?
ZIP code 98939 is primarily assigned to Parker, Washington.
What county is ZIP code 98939 in?
ZIP code 98939 falls within Yakima County, Washington.
Is Spanish widely spoken in ZIP code 98939?
Approximately 44% of households in ZIP code 98939 speak Spanish as a primary language.
Does ZIP code 98939 have a large retiree population?
63% of households in ZIP code 98939 receive Social Security income, suggesting a significant retiree or disability population.
Is ZIP code 98939 family-oriented?
34% of residents in ZIP code 98939 are under 18, reflecting a younger, family-oriented community.
What is the median household income in ZIP code 98939?
The median household income in ZIP code 98939 is $46,389, below the national median of ~$75,000.
What timezone is ZIP code 98939 in?
ZIP code 98939 observes the PST timezone.