99144 ZIP Code — Lamona, WA
Lincoln County, Washington
ZIP code 99144 is located in Lamona, Washington, within Lincoln County. It covers approximately 49.99 square miles and serves a population of 19 residents. This is a standard ZIP code in the Pacific (PT) timezone, served by area code 509.
19
population
49.99
sq mi land
Standard
ZIP type
Pacific (PT)
timezone
99144 ZIP code map
Cities in ZIP code 99144
Below are the cities the US Postal Service accepts for ZIP code 99144. Using any city not on this list may result in mail delivery delays.
| City | Status |
|---|---|
| Lamona | Acceptable |
| Lamona | Preferred |
Nearby ZIP codes
Demographics
updated 05/2026
| Population | |
|---|---|
| Total population | 19 |
| Population density | 0 / sq mi |
| State FIPS | 53 |
| County FIPS | 043 |
| Geography | |
|---|---|
| Land area | 49.99 sq mi |
| Water area | 0.00 sq mi |
| Latitude | 47.3594 |
| Longitude | -118.4816 |
| 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 | 55.6% | 42.9% | 31.7% |
| $50k – $100k | 44.4% | 32.8% | 30.6% |
| $100k – $200k | 0.0% | 21.2% | 27.1% |
| Over $200k | 0.0% | 3.1% | 10.6% |
Demographics & statistics
19
Population
63.4
Median age
$0
Median household income
$38,211
Per capita income
$0
Median home value
$0
Median monthly rent
100.0%
Home ownership
0.0%
Poverty rate
0.0%
Unemployment
13
Housing units
36.8%
Bachelor's or higher
Age distribution
Male
Female
0
35–44
1
2
45–54
2
3
60–64
4
3
65–74
4
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 0 | 0.0% |
| 18 and over | 19 | 100.0% |
| 65 and over | 7 | 36.8% |
| Median age | 63.4 years | |
Race & ethnicity
White
90%
Hispanic or Latino
5%
Other race
5%
| Group | Count | % |
|---|---|---|
| White | 18 | 90% |
| Hispanic or Latino | 1 | 5% |
| Other race | 1 | 5% |
Household income
| Income range | This ZIP | County avg | State avg |
|---|---|---|---|
| Under $50k | 55.6% | 42.9% | 31.7% |
| $50k – $100k | 44.4% | 32.8% | 30.6% |
| $100k – $200k | 0.0% | 21.2% | 27.1% |
| Over $200k | 0.0% | 3.1% | 10.6% |
$25k–$35k
36.4%
$35k–$50k
27.3%
$100k–$150k
36.4%
| Range | % of households |
|---|---|
| $25k–$35k | 36.4% |
| $35k–$50k | 27.3% |
| $100k–$150k | 36.4% |
| Median income | $0 |
Housing
Home values
Under $50k
36.4%
$200k–$300k
27.3%
$1M+
36.4%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $0 |
| Median rent / month | $0 |
| Owner occupied | 100.0% |
| Renter occupied | 0.0% |
| Vacant | 15.4% |
| Single-family detached | 69.2% |
| Large apartment buildings | 0.0% |
| Mobile homes | 30.8% |
| Median rooms | 7.4 |
| Avg household size (owned) | 1.64 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 0.0% |
| 2000–2009 | 0.0% |
| 1990–1999 | 30.8% |
| 1980–1989 | 0.0% |
| 1970–1979 | 0.0% |
| 1960–1969 | 0.0% |
| 1950–1959 | 0.0% |
| 1940–1949 | 0.0% |
| 1939 or earlier | 69.2% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.0% |
| 1 bedroom | 0.0% |
| 2 bedrooms | 30.8% |
| 3 bedrooms | 23.1% |
| 4 bedrooms | 46.2% |
| 5+ bedrooms | 0.0% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 0.0% |
| 1 vehicle | 0.0% |
| 2 vehicles | 100.0% |
| 3 or more | 0.0% |
Heating fuel
| Fuel type | % |
|---|---|
| Electricity | 100.0% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 7 | 63.6% |
| Cohabiting couple | 0 | 0.0% |
| Male householder, no spouse | 0 | 0.0% |
| Female householder, no spouse | 4 | 36.4% |
| Households with children under 18 | 0 | 0.0% |
| Households with seniors (65+) | 3 | 27.3% |
| Average household size | 1.64 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 0.0% | 36.4% |
| Married | 100.0% | 63.6% |
| Separated | 0.0% | 0.0% |
| Widowed | 0.0% | 0.0% |
| Divorced | 0.0% | 0.0% |
Education
Less than 9th grade
0.0%
Some HS, no diploma
0.0%
HS graduate
0.0%
Some college, no degree
36.8%
Associate's degree
26.3%
Bachelor's degree
0.0%
Graduate / professional
36.8%
| Metric | % |
|---|---|
| HS diploma or higher | 100.0% |
| Bachelor's or higher | 36.8% |
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 | 0 | 0.0% |
Employment
Industry of employment
Education & healthcare
80.0%
Agriculture & mining
20.0%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 0.0% |
| Service | 80.0% |
| Sales & office | 0.0% |
| Natural resources & construction | 20.0% |
| Production & transportation | 0.0% |
Employment type
| Type | % |
|---|---|
| Private sector | 100.0% |
| Government | 0.0% |
| Self-employed | 0.0% |
| Unpaid family workers | 0.0% |
Commute
| Method | % |
|---|---|
| Drive alone | 80.0% |
| Carpool | 0.0% |
| Public transit | 20.0% |
| 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 | 63.6% |
| Retirement income | 27.3% |
| Supplemental Security | 0.0% |
| Cash public assistance | 0.0% |
| Food stamps / SNAP | 0.0% |
Health indicators
| Condition | % |
|---|---|
| Obesity | 0.0% |
| High blood pressure | 0.0% |
| High cholesterol | 0.0% |
| Diabetes | 0.0% |
| Heart disease | 0.0% |
| Stroke | 0.0% |
| Asthma | 0.0% |
| Arthritis | 0.0% |
| Kidney disease | 0.0% |
| Pulmonary disease | 0.0% |
| Cancer | 0.0% |
| Behavior / access | % |
|---|---|
| Smoking | 0.0% |
| Binge drinking | 0.0% |
| No physical activity | 0.0% |
| Less than 7 hrs sleep | 0.0% |
| Depression | 0.0% |
| Fair or poor health | 0.0% |
| Poor mental health | 0.0% |
| Poor physical health | 0.0% |
| No health insurance | 0.0% |
| Visited doctor (checkup) | 0.0% |
| Visited dentist | 0.0% |
| Cholesterol screening | 0.0% |
| Teeth loss | 0.0% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 0 | 0.0% |
| Disability | % |
|---|---|
| Any disability | 15.8% |
| Under 18 | 0.0% |
| 18–64 years | 0.0% |
| 65 and over | 42.9% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 94.7% |
| Public insurance | 36.8% |
| No insurance | 5.3% |
| Uninsured under 19 | 0.0% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 19 | 100.0% |
| Spanish | 1 | 5.3% |
| Other Indo-European | 1 | 5.3% |
| Asian & Pacific Islander | 0 | 0.0% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 18 | 94.7% |
| Born in same state | 18 | 94.7% |
| Born in different state | 11 | 57.9% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 1 | 5.3% |
| Not a US citizen | 0 | 0.0% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| French | 7 | 36.8% |
| Italian | 4 | 21.1% |
| Ancestry | Count | % |
|---|---|---|
| English | 3 | 15.8% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 57.9% |
| Internet access | 100.0% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Frequently asked questions about ZIP code 99144
What city is ZIP code 99144 in?
ZIP code 99144 is primarily assigned to Lamona, Washington.
What county is ZIP code 99144 in?
ZIP code 99144 falls within Lincoln County, Washington.
Does ZIP code 99144 have a large retiree population?
64% of households in ZIP code 99144 receive Social Security income, suggesting a significant retiree or disability population.
Does ZIP code 99144 have an older population?
37% of residents in ZIP code 99144 are 65 or older, above the national average of ~17%.
What is the population of ZIP code 99144?
ZIP code 99144 has an estimated population of 19 residents.
What timezone is ZIP code 99144 in?
ZIP code 99144 observes the PST timezone.