Chouteau County, MT ZIP Codes
Montana (MT) · 7 ZIP codes · 7 cities
7
ZIP codes
5,916
population (2021)
+1.8%
pop change since 2010
30015
FIPS code
Chouteau County ZIP code map
About Chouteau County
Chouteau County is located in Montana and contains 7 ZIP codes across 7 cities and communities.
The county's population was 5,916 as of 2021,
an increase of
1.8% from 5,813 in 2010.
The timezone is Pacific Time (observes DST).
The Federal Information Processing System (FIPS) code for Chouteau County is 30015.
| Population | |
|---|---|
| 2021 population | 5,916 |
| 2010 population | 5,813 |
| Change | +1.8% |
| County details | |
|---|---|
| State | Montana |
| FIPS code | 30015 |
| Timezone | Pacific |
| Daylight saving | Yes |
Cities in Chouteau County
ZIP codes for Chouteau County, MT (7)
| ZIP code | City | County | Map |
|---|---|---|---|
| 59420 | Carter | Chouteau | View map |
| 59440 | Floweree | Chouteau | View map |
| 59442 | Fort Benton | Chouteau | View map |
| 59446 | Geraldine | Chouteau | View map |
| 59450 | Highwood | Chouteau | View map |
| 59460 | Loma | Chouteau | View map |
| 59520 | Big Sandy | Chouteau | View map |
Demographics & statistics
4,821
Population
43.1
Median age
$57,638
Median household income
$32,098
Per capita income
$141,057
Median home value
$360
Median monthly rent
76.1%
Home ownership
9.4%
Poverty rate
3.9%
Unemployment
2,025
Housing units
24.6%
Bachelor's or higher
Age distribution
Male
Female
169
Under 5
142
177
5–9
149
119
10–14
100
172
15–19
145
131
20–24
111
267
25–34
225
293
35–44
248
261
45–54
221
204
55–59
172
202
60–64
170
387
65–74
327
152
75–84
129
80
85+
68
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 1,120 | 18.8% |
| 18 and over | 3,701 | 81.2% |
| 65 and over | 1,143 | 27.2% |
| Median age | 43.1 years | |
Race & ethnicity
White
92.6%
Two or more races
4.9%
American Indian / Alaska Native
1%
Hispanic or Latino
0.8%
Asian
0.5%
Black or African American
0.2%
| Group | Count | % |
|---|---|---|
| White | 4,503 | 92.6% |
| Two or more races | 236 | 4.9% |
| American Indian / Alaska Native | 48 | 1% |
| Hispanic or Latino | 41 | 0.8% |
| Asian | 26 | 0.5% |
| Black or African American | 8 | 0.2% |
Household income
Under $10k
3.3%
$10k–$15k
4.7%
$15k–$25k
6.9%
$25k–$35k
11.2%
$35k–$50k
19.0%
$50k–$75k
19.2%
$75k–$100k
11.5%
$100k–$150k
16.0%
$150k–$200k
4.5%
$200k+
3.9%
| Range | % of households |
|---|---|
| Under $10k | 3.3% |
| $10k–$15k | 4.7% |
| $15k–$25k | 6.9% |
| $25k–$35k | 11.2% |
| $35k–$50k | 19.0% |
| $50k–$75k | 19.2% |
| $75k–$100k | 11.5% |
| $100k–$150k | 16.0% |
| $150k–$200k | 4.5% |
| $200k+ | 3.9% |
| Median income | $57,638 |
Housing
Home values
Under $50k
10.1%
$50k–$100k
13.3%
$100k–$150k
18.8%
$150k–$200k
15.0%
$200k–$300k
26.8%
$300k–$500k
12.4%
$500k–$1M
2.0%
$1M+
1.6%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $141,057 |
| Median rent / month | $360 |
| Owner occupied | 76.1% |
| Renter occupied | 23.9% |
| Vacant | 23.5% |
| Single-family detached | 74.6% |
| Large apartment buildings | 0.6% |
| Mobile homes | 20.8% |
| Median rooms | 5.9 |
| Avg household size (owned) | 2.46 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 8.6% |
| 2000–2009 | 4.8% |
| 1990–1999 | 6.0% |
| 1980–1989 | 14.0% |
| 1970–1979 | 14.7% |
| 1960–1969 | 5.3% |
| 1950–1959 | 10.2% |
| 1940–1949 | 8.7% |
| 1939 or earlier | 27.8% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 2.3% |
| 1 bedroom | 6.6% |
| 2 bedrooms | 27.8% |
| 3 bedrooms | 42.7% |
| 4 bedrooms | 13.7% |
| 5+ bedrooms | 7.0% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 2.5% |
| 1 vehicle | 17.4% |
| 2 vehicles | 47.0% |
| 3 or more | 33.1% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 25.9% |
| Electricity | 12.8% |
| Propane / LP gas | 44.5% |
| Fuel oil | 3.5% |
| Wood | 12.1% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 972 | 52.1% |
| Cohabiting couple | 32 | 1.9% |
| Male householder, no spouse | 498 | 28.3% |
| Female householder, no spouse | 382 | 17.7% |
| Households with children under 18 | 453 | 19.9% |
| Households with seniors (65+) | 762 | 41.5% |
| Average household size | 2.41 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 26.2% | 18.8% |
| Married | 49.1% | 60.2% |
| Separated | 5.3% | 0.1% |
| Widowed | 4.4% | 12.3% |
| Divorced | 15.1% | 8.6% |
Education
Less than 9th grade
0.8%
Some HS, no diploma
2.6%
HS graduate
42.7%
Some college, no degree
21.1%
Associate's degree
8.3%
Bachelor's degree
18.5%
Graduate / professional
6.1%
| Metric | % |
|---|---|
| HS diploma or higher | 96.6% |
| Bachelor's or higher | 24.6% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 63 | 4.5% |
| Kindergarten | 83 | 5.3% |
| Elementary school | 448 | 45.4% |
| High school | 232 | 21.5% |
| College / grad school | 86 | 9.0% |
Employment
Industry of employment
Agriculture & mining
32.0%
Education & healthcare
17.8%
Retail trade
10.4%
Construction
8.4%
Public administration
8.3%
Professional & management
4.3%
Transportation & utilities
4.2%
Manufacturing
3.2%
Arts, food & hospitality
3.1%
Finance & real estate
2.5%
Information
2.3%
Other services
1.8%
Wholesale trade
1.5%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 51.2% |
| Service | 9.0% |
| Sales & office | 9.8% |
| Natural resources & construction | 16.0% |
| Production & transportation | 14.0% |
Employment type
| Type | % |
|---|---|
| Private sector | 58.3% |
| Government | 20.4% |
| Self-employed | 18.4% |
| Unpaid family workers | 2.9% |
Commute
| Method | % |
|---|---|
| Drive alone | 67.6% |
| Carpool | 10.9% |
| Public transit | 0.2% |
| Walk | 9.9% |
| Other means | 0.5% |
| Avg commute (minutes) | 21.0 |
Poverty
All people
9.4%
Under 18 years
12.9%
18 and over
8.6%
Married-couple families
6.2%
Female-led households
5.1%
Income support
| Source | % of households |
|---|---|
| Social Security | 43.8% |
| Retirement income | 26.6% |
| Supplemental Security | 2.1% |
| Cash public assistance | 2.3% |
| Food stamps / SNAP | 4.9% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 34.7% |
| High cholesterol | 33.5% |
| Heart disease | 8.5% |
| Stroke | 3.9% |
| Asthma | 10.4% |
| Arthritis | 31.5% |
| Kidney disease | 3.6% |
| Pulmonary disease | 8.7% |
| Cancer | 8.1% |
| Behavior / access | % |
|---|---|
| Binge drinking | 19.7% |
| No physical activity | 24.1% |
| Less than 7 hrs sleep | 31.1% |
| Fair or poor health | 15.6% |
| Poor mental health | 12.9% |
| Poor physical health | 12.5% |
| No health insurance | 12.0% |
| Visited doctor (checkup) | 71.7% |
| Visited dentist | 60.4% |
| Cholesterol screening | 89.5% |
| Teeth loss | 15.6% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 327 | 10.8% |
| Disability | % |
|---|---|
| Any disability | 8.7% |
| Under 18 | 3.1% |
| 18–64 years | 6.3% |
| 65 and over | 20.9% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 61.4% |
| Public insurance | 47.1% |
| Uninsured under 19 | 3.3% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 4,510 | 95.1% |
| Spanish | 9 | 0.1% |
| Other Indo-European | 1 | 0.0% |
| Asian & Pacific Islander | 8 | 0.1% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 4,757 | 98.8% |
| Born in same state | 4,656 | 95.0% |
| Born in different state | 3,082 | 67.1% |
| Foreign born | 101 | 3.8% |
| Naturalized citizen | 64 | 1.2% |
| Not a US citizen | 39 | 64.3% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Arab | 814 | 16.9% |
| French | 638 | 13.2% |
| Italian | 632 | 13.1% |
| Polish | 417 | 8.6% |
| Ancestry | Count | % |
|---|---|---|
| English | 71 | 1.5% |
| Dutch | 39 | 0.8% |
| German | 25 | 0.5% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 43.4% |
| Internet access | 91.0% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Explore more Montana ZIP codes