Potter County, SD ZIP Codes
South Dakota (SD) · 4 ZIP codes · 4 cities
4
ZIP codes
2,475
population (2021)
+6.3%
pop change since 2010
46107
FIPS code
Potter County ZIP code map
About Potter County
Potter County is located in South Dakota and contains 4 ZIP codes across 4 cities and communities.
The county's population was 2,475 as of 2021,
an increase of
6.3% from 2,329 in 2010.
The timezone is Mountain Time (observes DST).
The Federal Information Processing System (FIPS) code for Potter County is 46107.
| Population | |
|---|---|
| 2021 population | 2,475 |
| 2010 population | 2,329 |
| Change | +6.3% |
| County details | |
|---|---|
| State | South Dakota |
| FIPS code | 46107 |
| Timezone | Mountain |
| Daylight saving | Yes |
Cities in Potter County
ZIP codes for Potter County, SD (4)
| ZIP code | City | County | Map |
|---|---|---|---|
| 57442 | Gettysburg | Potter | View map |
| 57450 | Hoven | Potter | View map |
| 57455 | Lebanon | Potter | View map |
| 57475 | Tolstoy | Potter | View map |
Demographics & statistics
2,946
Population
44.9
Median age
$69,631
Median household income
$34,089
Per capita income
$95,125
Median home value
$195
Median monthly rent
80.3%
Home ownership
5.5%
Poverty rate
2.2%
Unemployment
1,475
Housing units
18.8%
Bachelor's or higher
Age distribution
Male
Female
83
Under 5
87
112
5–9
117
94
10–14
99
104
15–19
109
61
20–24
63
133
25–34
139
140
35–44
146
136
45–54
143
115
55–59
120
94
60–64
99
198
65–74
207
109
75–84
114
61
85+
63
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 739 | 19.0% |
| 18 and over | 2,207 | 81.0% |
| 65 and over | 752 | 34.5% |
| Median age | 44.9 years | |
Race & ethnicity
White
85.5%
American Indian / Alaska Native
7.3%
Two or more races
3.6%
Black or African American
1.3%
Hispanic or Latino
0.8%
Other race
0.8%
Asian
0.7%
| Group | Count | % |
|---|---|---|
| White | 2,539 | 85.5% |
| American Indian / Alaska Native | 216 | 7.3% |
| Two or more races | 108 | 3.6% |
| Black or African American | 39 | 1.3% |
| Hispanic or Latino | 23 | 0.8% |
| Other race | 23 | 0.8% |
| Asian | 21 | 0.7% |
Household income
Under $10k
1.7%
$10k–$15k
2.8%
$15k–$25k
5.0%
$25k–$35k
7.2%
$35k–$50k
11.7%
$50k–$75k
21.7%
$75k–$100k
20.8%
$100k–$150k
17.1%
$150k–$200k
8.6%
$200k+
3.4%
| Range | % of households |
|---|---|
| Under $10k | 1.7% |
| $10k–$15k | 2.8% |
| $15k–$25k | 5.0% |
| $25k–$35k | 7.2% |
| $35k–$50k | 11.7% |
| $50k–$75k | 21.7% |
| $75k–$100k | 20.8% |
| $100k–$150k | 17.1% |
| $150k–$200k | 8.6% |
| $200k+ | 3.4% |
| Median income | $69,631 |
Housing
Home values
Under $50k
24.1%
$50k–$100k
22.1%
$100k–$150k
21.2%
$150k–$200k
5.3%
$200k–$300k
10.0%
$300k–$500k
9.5%
$500k–$1M
7.5%
$1M+
0.5%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $95,125 |
| Median rent / month | $195 |
| Owner occupied | 80.3% |
| Renter occupied | 19.7% |
| Vacant | 28.3% |
| Single-family detached | 80.8% |
| Large apartment buildings | 0.0% |
| Mobile homes | 14.9% |
| Median rooms | 6.8 |
| Avg household size (owned) | 2.50 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 2.9% |
| 2000–2009 | 9.0% |
| 1990–1999 | 8.0% |
| 1980–1989 | 11.2% |
| 1970–1979 | 14.7% |
| 1960–1969 | 7.9% |
| 1950–1959 | 7.6% |
| 1940–1949 | 6.9% |
| 1939 or earlier | 31.9% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.1% |
| 1 bedroom | 4.2% |
| 2 bedrooms | 29.2% |
| 3 bedrooms | 38.1% |
| 4 bedrooms | 13.7% |
| 5+ bedrooms | 14.8% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 1.7% |
| 1 vehicle | 12.0% |
| 2 vehicles | 35.8% |
| 3 or more | 50.6% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 11.8% |
| Electricity | 29.3% |
| Propane / LP gas | 44.0% |
| Fuel oil | 14.7% |
| No fuel used | 0.1% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 691 | 63.1% |
| Cohabiting couple | 42 | 4.7% |
| Male householder, no spouse | 205 | 18.5% |
| Female householder, no spouse | 212 | 13.8% |
| Households with children under 18 | 304 | 22.1% |
| Households with seniors (65+) | 474 | 50.2% |
| Average household size | 2.40 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 18.5% | 18.5% |
| Married | 67.7% | 61.6% |
| Separated | 0.6% | 0.1% |
| Widowed | 4.9% | 10.4% |
| Divorced | 8.3% | 9.5% |
Education
Less than 9th grade
1.6%
Some HS, no diploma
4.2%
HS graduate
45.0%
Some college, no degree
20.6%
Associate's degree
9.9%
Bachelor's degree
16.5%
Graduate / professional
2.3%
| Metric | % |
|---|---|
| HS diploma or higher | 94.3% |
| Bachelor's or higher | 18.8% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 56 | 2.4% |
| Kindergarten | 63 | 25.2% |
| Elementary school | 302 | 25.4% |
| High school | 211 | 16.8% |
| College / grad school | 72 | 5.2% |
Employment
Industry of employment
Agriculture & mining
30.1%
Retail trade
16.4%
Education & healthcare
11.2%
Finance & real estate
10.5%
Arts, food & hospitality
7.3%
Other services
4.9%
Construction
4.4%
Wholesale trade
4.0%
Professional & management
3.3%
Manufacturing
3.3%
Transportation & utilities
2.6%
Public administration
1.3%
Information
0.8%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 35.9% |
| Service | 14.4% |
| Sales & office | 27.0% |
| Natural resources & construction | 13.7% |
| Production & transportation | 9.2% |
Employment type
| Type | % |
|---|---|
| Private sector | 74.7% |
| Government | 8.3% |
| Self-employed | 17.0% |
| Unpaid family workers | 0.1% |
Commute
| Method | % |
|---|---|
| Drive alone | 73.8% |
| Carpool | 10.3% |
| Public transit | 1.2% |
| Walk | 2.1% |
| Other means | 3.5% |
| Avg commute (minutes) | 15.3 |
Poverty
All people
5.5%
Under 18 years
11.6%
18 and over
3.2%
Married-couple families
2.5%
Female-led households
9.6%
Income support
| Source | % of households |
|---|---|
| Social Security | 46.4% |
| Retirement income | 22.4% |
| Supplemental Security | 2.8% |
| Cash public assistance | 1.5% |
| Food stamps / SNAP | 6.8% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 36.4% |
| High cholesterol | 35.5% |
| Heart disease | 8.9% |
| Stroke | 3.8% |
| Asthma | 8.5% |
| Arthritis | 28.6% |
| Kidney disease | 3.5% |
| Pulmonary disease | 7.0% |
| Cancer | 9.3% |
| Behavior / access | % |
|---|---|
| Binge drinking | 17.2% |
| No physical activity | 24.5% |
| Less than 7 hrs sleep | 27.4% |
| Fair or poor health | 12.2% |
| Poor mental health | 9.5% |
| Poor physical health | 9.5% |
| No health insurance | 11.1% |
| Visited doctor (checkup) | 78.2% |
| Visited dentist | 70.2% |
| Cholesterol screening | 91.6% |
| Teeth loss | 13.0% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 147 | 7.4% |
| Disability | % |
|---|---|
| Any disability | 11.7% |
| Under 18 | 1.2% |
| 18–64 years | 5.9% |
| 65 and over | 23.5% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 65.0% |
| Public insurance | 46.6% |
| Uninsured under 19 | 3.9% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 2,776 | 92.8% |
| Spanish | 12 | 0.2% |
| Other Indo-European | 0 | 0.0% |
| Asian & Pacific Islander | 0 | 0.0% |
| Other languages | 12 | 0.2% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 2,923 | 99.7% |
| Born in same state | 2,923 | 99.7% |
| Born in different state | 2,395 | 86.7% |
| Foreign born | 0 | 0.0% |
| Naturalized citizen | 23 | 0.3% |
| Not a US citizen | 19 | 20.7% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Polish | 179 | 6.1% |
| French | 156 | 5.3% |
| Arab | 149 | 5.1% |
| Italian | 131 | 4.4% |
| Ancestry | Count | % |
|---|---|---|
| English | 40 | 1.4% |
| Dutch | 26 | 0.9% |
| German | 8 | 0.3% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 41.2% |
| Internet access | 93.8% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Explore more South Dakota ZIP codes