99149 ZIP Code — Malden, WA
Whitman County, Washington
ZIP code 99149 is located in Malden, Washington, within Whitman County. It covers approximately 1.92 square miles and serves a population of 194 residents. This is a standard ZIP code in the Pacific (PT) timezone, served by area code 509.
194
population
1.92
sq mi land
Standard
ZIP type
Pacific (PT)
timezone
99149 ZIP code map
Cities in ZIP code 99149
Below are the cities the US Postal Service accepts for ZIP code 99149. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Malden | Acceptable |
Demographics
updated 05/2026
| Population | |
|---|---|
| Total population | 194 |
| Population density | 101 / sq mi |
| State FIPS | 53 |
| County FIPS | 075 |
| Geography | |
|---|---|
| Land area | 1.92 sq mi |
| Water area | 0.00 sq mi |
| Latitude | 47.2140 |
| Longitude | -117.4609 |
| 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 | 62.4% | 55.9% | 31.7% |
| $50k – $100k | 29.4% | 24.5% | 30.6% |
| $100k – $200k | 8.2% | 15.6% | 27.1% |
| Over $200k | 0.0% | 4.0% | 10.6% |
Demographics & statistics
194
Population
101
People per sq mi
40.7
Median age
$40,938
Median household income
$20,372
Per capita income
$63,000
Median home value
$0
Median monthly rent
98.5%
Home ownership
12.4%
Poverty rate
18.6%
Unemployment
78
Housing units
16.0%
Bachelor's or higher
Age distribution
Male
Female
7
Under 5
7
4
5–9
4
7
10–14
6
8
15–19
8
12
20–24
12
9
25–34
8
10
35–44
9
11
45–54
11
5
55–59
4
12
60–64
11
11
65–74
11
4
75–84
3
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 46 | 23.7% |
| 18 and over | 148 | 76.3% |
| 65 and over | 29 | 14.9% |
| Median age | 40.7 years | |
Race & ethnicity
White
78.9%
Two or more races
11.3%
Hispanic or Latino
8.9%
American Indian / Alaska Native
0.9%
| Group | Count | % |
|---|---|---|
| White | 168 | 78.9% |
| Two or more races | 24 | 11.3% |
| Hispanic or Latino | 19 | 8.9% |
| American Indian / Alaska Native | 2 | 0.9% |
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 62.4% | 55.9% | 31.7% |
| $50k – $100k | 29.4% | 24.5% | 30.6% |
| $100k – $200k | 8.2% | 15.6% | 27.1% |
| Over $200k | 0.0% | 4.0% | 10.6% |
Under $10k
7.7%
$10k–$15k
9.2%
$15k–$25k
12.3%
$25k–$35k
18.5%
$35k–$50k
10.8%
$50k–$75k
13.8%
$75k–$100k
21.5%
$100k–$150k
6.2%
| Range | % of households |
|---|---|
| Under $10k | 7.7% |
| $10k–$15k | 9.2% |
| $15k–$25k | 12.3% |
| $25k–$35k | 18.5% |
| $35k–$50k | 10.8% |
| $50k–$75k | 13.8% |
| $75k–$100k | 21.5% |
| $100k–$150k | 6.2% |
| Median income | $40,938 |
Housing
Home values
Under $50k
35.9%
$50k–$100k
34.4%
$100k–$150k
14.1%
$150k–$200k
9.4%
$200k–$300k
4.7%
$300k–$500k
1.6%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $63,000 |
| Median rent / month | $0 |
| Owner occupied | 98.5% |
| Renter occupied | 1.5% |
| Vacant | 17.7% |
| Single-family detached | 91.1% |
| Large apartment buildings | 0.0% |
| Mobile homes | 3.8% |
| Median rooms | 5.8 |
| Avg household size (owned) | 2.94 |
Year built
| Era | % |
|---|---|
| 2020 or later | 6.3% |
| 2010–2019 | 1.3% |
| 2000–2009 | 2.5% |
| 1990–1999 | 1.3% |
| 1980–1989 | 3.8% |
| 1970–1979 | 0.0% |
| 1960–1969 | 1.3% |
| 1950–1959 | 15.2% |
| 1940–1949 | 1.3% |
| 1939 or earlier | 67.1% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.0% |
| 1 bedroom | 2.5% |
| 2 bedrooms | 45.6% |
| 3 bedrooms | 34.2% |
| 4 bedrooms | 12.7% |
| 5+ bedrooms | 5.1% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 0.0% |
| 1 vehicle | 26.2% |
| 2 vehicles | 29.2% |
| 3 or more | 44.6% |
Heating fuel
| Fuel type | % |
|---|---|
| Electricity | 38.5% |
| Propane / LP gas | 3.1% |
| Fuel oil | 18.5% |
| Wood | 29.2% |
| No fuel used | 6.2% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 26 | 40.0% |
| Cohabiting couple | 5 | 7.7% |
| Male householder, no spouse | 14 | 21.5% |
| Female householder, no spouse | 20 | 30.8% |
| Households with children under 18 | 26 | 40.0% |
| Households with seniors (65+) | 26 | 40.0% |
| Average household size | 2.98 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 51.2% | 23.3% |
| Married | 31.4% | 42.5% |
| Separated | 5.8% | 2.7% |
| Widowed | 5.8% | 12.3% |
| Divorced | 5.8% | 19.2% |
Education
Less than 9th grade
5.0%
Some HS, no diploma
13.4%
HS graduate
27.7%
Some college, no degree
32.8%
Associate's degree
5.0%
Bachelor's degree
10.1%
Graduate / professional
5.9%
| Metric | % |
|---|---|
| HS diploma or higher | 81.5% |
| Bachelor's or higher | 16.0% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 2 | 4.4% |
| Kindergarten | 0 | 0.0% |
| Elementary school | 20 | 44.4% |
| High school | 15 | 33.3% |
| College / grad school | 8 | 17.8% |
Employment
Industry of employment
Education & healthcare
21.4%
Agriculture & mining
20.0%
Construction
18.6%
Retail trade
11.4%
Finance & real estate
8.6%
Manufacturing
7.1%
Professional & management
7.1%
Wholesale trade
4.3%
Public administration
1.4%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 37.1% |
| Service | 14.3% |
| Sales & office | 12.9% |
| Natural resources & construction | 28.6% |
| Production & transportation | 7.1% |
Employment type
| Type | % |
|---|---|
| Private sector | 64.3% |
| Government | 18.6% |
| Self-employed | 17.1% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 63.1% |
| Carpool | 15.4% |
| Public transit | 0.0% |
| Walk | 20.0% |
| Work from home | 1.5% |
| Other means | 0.0% |
| Avg commute (minutes) | 37.0 |
Poverty
All people
12.4%
Under 18 years
2.2%
18 and over
15.5%
Married-couple families
0.0%
Female-led households
9.1%
Income support
| Source | % of households |
|---|---|
| Social Security | 43.1% |
| Retirement income | 13.8% |
| Supplemental Security | 4.6% |
| Cash public assistance | 12.3% |
| Food stamps / SNAP | 44.6% |
Health indicators
| Condition | % |
|---|---|
| Obesity | 33.5% |
| High blood pressure | 38.9% |
| High cholesterol | 38.5% |
| Diabetes | 11.7% |
| Heart disease | 9.1% |
| Stroke | 4.2% |
| Asthma | 11.0% |
| Arthritis | 32.7% |
| Kidney disease | 3.9% |
| Pulmonary disease | 9.2% |
| Cancer | 9.5% |
| Behavior / access | % |
|---|---|
| Smoking | 16.6% |
| Binge drinking | 14.7% |
| No physical activity | 21.5% |
| Less than 7 hrs sleep | 28.0% |
| Depression | 26.2% |
| Fair or poor health | 16.9% |
| Poor mental health | 14.3% |
| Poor physical health | 13.2% |
| No health insurance | 9.8% |
| Visited doctor (checkup) | 73.5% |
| Visited dentist | 67.8% |
| Cholesterol screening | 91.0% |
| Teeth loss | 12.5% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 11 | 7.4% |
| Disability | % |
|---|---|
| Any disability | 19.1% |
| Under 18 | 2.2% |
| 18–64 years | 20.2% |
| 65 and over | 41.4% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 32.5% |
| Public insurance | 76.3% |
| No insurance | 3.6% |
| Uninsured under 19 | 0.0% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 180 | 92.8% |
| 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) | 194 | 100.0% |
| Born in same state | 194 | 100.0% |
| Born in different state | 128 | 66.0% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 0 | 0.0% |
| Not a US citizen | 0 | 0.0% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Italian | 32 | 16.5% |
| French | 25 | 12.9% |
| Polish | 7 | 3.6% |
| Arab | 7 | 3.6% |
| Ancestry | Count | % |
|---|---|---|
| Dutch | 4 | 2.1% |
| German | 1 | 0.5% |
| English | 1 | 0.5% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 33.5% |
| Internet access | 98.5% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 99149
What city is ZIP code 99149 in?
ZIP code 99149 is primarily assigned to Malden, Washington.
What county is ZIP code 99149 in?
ZIP code 99149 falls within Whitman County, Washington.
Is ZIP code 99149 mostly owner-occupied?
99% of occupied units in ZIP code 99149 are owner-occupied, well above the national average.
Does ZIP code 99149 have a large retiree population?
43% of households in ZIP code 99149 receive Social Security income, suggesting a significant retiree or disability population.
What is the typical home value in ZIP code 99149?
The median home value in ZIP code 99149 is $63,000.
What is the median household income in ZIP code 99149?
The median household income in ZIP code 99149 is $40,938, below the national median of ~$75,000.
What timezone is ZIP code 99149 in?
ZIP code 99149 observes the PST timezone.