Latimer County, OK ZIP Codes
Oklahoma (OK) · 5 ZIP codes · 5 cities
5
ZIP codes
9,427
population (2021)
-15.5%
pop change since 2010
40077
FIPS code
Latimer County ZIP code map
About Latimer County
Latimer County is located in Oklahoma and contains 5 ZIP codes across 5 cities and communities.
The county's population was 9,427 as of 2021,
a decrease of
15.5% from 11,154 in 2010.
The timezone is Mountain Time (observes DST).
The Federal Information Processing System (FIPS) code for Latimer County is 40077.
| Population | |
|---|---|
| 2021 population | 9,427 |
| 2010 population | 11,154 |
| Change | -15.5% |
| County details | |
|---|---|
| State | Oklahoma |
| FIPS code | 40077 |
| Timezone | Mountain |
| Daylight saving | Yes |
Cities in Latimer County
ZIP codes for Latimer County, OK (5)
| ZIP code | City | County | Map |
|---|---|---|---|
| 74545 | Gowen | Latimer | View map |
| 74559 | Panola | Latimer | View map |
| 74563 | Red Oak | Latimer | View map |
| 74571 | Talihina | Latimer | View map |
| 74578 | Wilburton | Latimer | View map |
Demographics & statistics
7,522
Population
38.7
Median age
$44,282
Median household income
$24,456
Per capita income
$99,100
Median home value
$740
Median monthly rent
72.9%
Home ownership
15.6%
Poverty rate
7.5%
Unemployment
2,722
Housing units
13.8%
Bachelor's or higher
Age distribution
Male
Female
244
Under 5
247
208
5–9
210
281
10–14
285
272
15–19
275
234
20–24
237
424
25–34
430
451
35–44
457
413
45–54
419
235
55–59
239
270
60–64
274
356
65–74
362
297
75–84
301
50
85+
51
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 1,738 | 23.7% |
| 18 and over | 5,784 | 76.4% |
| 65 and over | 1,417 | 20.0% |
| Median age | 38.7 years | |
Race & ethnicity
White
62.1%
American Indian / Alaska Native
22.7%
Two or more races
9.6%
Hispanic or Latino
3.2%
Black or African American
1.2%
Other race
1.1%
Asian
0.1%
| Group | Count | % |
|---|---|---|
| White | 4,827 | 62.1% |
| American Indian / Alaska Native | 1,763 | 22.7% |
| Two or more races | 742 | 9.6% |
| Hispanic or Latino | 246 | 3.2% |
| Black or African American | 91 | 1.2% |
| Other race | 88 | 1.1% |
| Asian | 11 | 0.1% |
Household income
Under $10k
6.4%
$10k–$15k
4.8%
$15k–$25k
15.8%
$25k–$35k
11.1%
$35k–$50k
15.4%
$50k–$75k
16.9%
$75k–$100k
9.3%
$100k–$150k
13.7%
$150k–$200k
3.8%
$200k+
3.0%
| Range | % of households |
|---|---|
| Under $10k | 6.4% |
| $10k–$15k | 4.8% |
| $15k–$25k | 15.8% |
| $25k–$35k | 11.1% |
| $35k–$50k | 15.4% |
| $50k–$75k | 16.9% |
| $75k–$100k | 9.3% |
| $100k–$150k | 13.7% |
| $150k–$200k | 3.8% |
| $200k+ | 3.0% |
| Median income | $44,282 |
Housing
Home values
Under $50k
24.4%
$50k–$100k
24.9%
$100k–$150k
19.9%
$150k–$200k
12.2%
$200k–$300k
10.6%
$300k–$500k
6.6%
$500k–$1M
1.7%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $99,100 |
| Median rent / month | $740 |
| Owner occupied | 72.9% |
| Renter occupied | 27.1% |
| Vacant | 17.1% |
| Single-family detached | 71.2% |
| Large apartment buildings | 1.0% |
| Mobile homes | 23.4% |
| Median rooms | 5.4 |
| Avg household size (owned) | 2.45 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.1% |
| 2010–2019 | 8.5% |
| 2000–2009 | 18.5% |
| 1990–1999 | 11.3% |
| 1980–1989 | 17.9% |
| 1970–1979 | 14.9% |
| 1960–1969 | 10.8% |
| 1950–1959 | 5.7% |
| 1940–1949 | 6.0% |
| 1939 or earlier | 6.5% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 1.4% |
| 1 bedroom | 4.7% |
| 2 bedrooms | 26.5% |
| 3 bedrooms | 52.1% |
| 4 bedrooms | 13.7% |
| 5+ bedrooms | 1.7% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 4.0% |
| 1 vehicle | 27.4% |
| 2 vehicles | 35.1% |
| 3 or more | 33.5% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 23.9% |
| Electricity | 49.1% |
| Propane / LP gas | 20.7% |
| Wood | 5.5% |
| Solar | 0.5% |
| No fuel used | 0.3% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 1,666 | 57.0% |
| Cohabiting couple | 170 | 4.9% |
| Male householder, no spouse | 459 | 15.4% |
| Female householder, no spouse | 694 | 22.8% |
| Households with children under 18 | 985 | 32.3% |
| Households with seniors (65+) | 931 | 35.0% |
| Average household size | 2.45 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 20.5% | 17.2% |
| Married | 59.6% | 58.4% |
| Separated | 1.7% | 1.7% |
| Widowed | 3.9% | 10.8% |
| Divorced | 14.5% | 11.9% |
Education
Less than 9th grade
2.8%
Some HS, no diploma
11.0%
HS graduate
39.0%
Some college, no degree
19.1%
Associate's degree
14.5%
Bachelor's degree
9.6%
Graduate / professional
4.2%
| Metric | % |
|---|---|
| HS diploma or higher | 86.3% |
| Bachelor's or higher | 13.8% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 75 | 4.7% |
| Kindergarten | 106 | 6.9% |
| Elementary school | 772 | 47.6% |
| High school | 338 | 20.8% |
| College / grad school | 352 | 20.1% |
Employment
Industry of employment
Education & healthcare
24.2%
Agriculture & mining
11.5%
Retail trade
11.0%
Public administration
9.4%
Transportation & utilities
7.3%
Construction
6.8%
Professional & management
6.8%
Manufacturing
6.5%
Arts, food & hospitality
5.6%
Other services
4.9%
Finance & real estate
3.9%
Information
1.2%
Wholesale trade
1.1%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 32.0% |
| Service | 16.5% |
| Sales & office | 19.6% |
| Natural resources & construction | 18.8% |
| Production & transportation | 13.3% |
Employment type
| Type | % |
|---|---|
| Private sector | 66.2% |
| Government | 25.9% |
| Self-employed | 7.8% |
| Unpaid family workers | 0.2% |
Commute
| Method | % |
|---|---|
| Drive alone | 88.6% |
| Carpool | 4.7% |
| Public transit | 0.0% |
| Walk | 1.2% |
| Other means | 0.6% |
| Avg commute (minutes) | 29.1 |
Poverty
All people
15.6%
Under 18 years
19.1%
18 and over
14.5%
Married-couple families
8.7%
Female-led households
39.9%
Income support
| Source | % of households |
|---|---|
| Social Security | 41.4% |
| Retirement income | 22.7% |
| Supplemental Security | 7.3% |
| Cash public assistance | 2.5% |
| Food stamps / SNAP | 16.9% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 40.9% |
| High cholesterol | 36.9% |
| Heart disease | 8.5% |
| Stroke | 4.1% |
| Asthma | 11.6% |
| Arthritis | 29.5% |
| Kidney disease | 3.6% |
| Pulmonary disease | 10.1% |
| Cancer | 7.1% |
| Behavior / access | % |
|---|---|
| Binge drinking | 13.0% |
| No physical activity | 30.8% |
| Less than 7 hrs sleep | 34.9% |
| Fair or poor health | 20.4% |
| Poor mental health | 17.5% |
| Poor physical health | 14.3% |
| No health insurance | 17.5% |
| Visited doctor (checkup) | 77.1% |
| Visited dentist | 54.2% |
| Cholesterol screening | 87.7% |
| Teeth loss | 20.0% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 673 | 11.7% |
| Disability | % |
|---|---|
| Any disability | 21.1% |
| Under 18 | 4.8% |
| 18–64 years | 19.7% |
| 65 and over | 46.3% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 47.7% |
| Public insurance | 44.5% |
| Uninsured under 19 | 15.8% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 7,031 | 93.2% |
| Spanish | 20 | 0.2% |
| Other Indo-European | 20 | 0.2% |
| Asian & Pacific Islander | 0 | 0.0% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 7,411 | 98.9% |
| Born in same state | 7,358 | 98.0% |
| Born in different state | 4,765 | 65.0% |
| Foreign born | 53 | 0.9% |
| Naturalized citizen | 111 | 1.1% |
| Not a US citizen | 50 | 24.3% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Italian | 1,374 | 18.3% |
| French | 632 | 8.4% |
| Arab | 486 | 6.5% |
| English | 79 | 1.1% |
| Ancestry | Count | % |
|---|---|---|
| Polish | 9 | 0.1% |
| German | 7 | 0.1% |
| Norwegian | 7 | 0.1% |
| Dutch | 4 | 0.1% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 40.1% |
| Internet access | 91.3% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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