Aurora County, SD ZIP Codes
South Dakota (SD) · 3 ZIP codes · 3 cities
3
ZIP codes
2,748
population (2021)
+1.4%
pop change since 2010
46003
FIPS code
Aurora County ZIP code map
About Aurora County
Aurora County is located in South Dakota and contains 3 ZIP codes across 3 cities and communities.
The county's population was 2,748 as of 2021,
an increase of
1.4% from 2,710 in 2010.
The timezone is Mountain Time (observes DST).
The Federal Information Processing System (FIPS) code for Aurora County is 46003.
| Population | |
|---|---|
| 2021 population | 2,748 |
| 2010 population | 2,710 |
| Change | +1.4% |
| County details | |
|---|---|
| State | South Dakota |
| FIPS code | 46003 |
| Timezone | Mountain |
| Daylight saving | Yes |
Cities in Aurora County
ZIP codes for Aurora County, SD (3)
| ZIP code | City | County | Map |
|---|---|---|---|
| 57368 | Plankinton | Aurora | View map |
| 57375 | Stickney | Aurora | View map |
| 57383 | White Lake | Aurora | View map |
Demographics & statistics
2,523
Population
40.9
Median age
$73,098
Median household income
$40,575
Per capita income
$121,967
Median home value
$765
Median monthly rent
76.4%
Home ownership
5.3%
Poverty rate
0.5%
Unemployment
932
Housing units
17.4%
Bachelor's or higher
Age distribution
Male
Female
93
Under 5
83
83
5–9
74
102
10–14
91
86
15–19
78
80
20–24
72
135
25–34
121
157
35–44
141
151
45–54
136
103
55–59
93
86
60–64
77
144
65–74
129
56
75–84
50
54
85+
48
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 651 | 25.9% |
| 18 and over | 1,872 | 74.1% |
| 65 and over | 481 | 19.9% |
| Median age | 40.9 years | |
Race & ethnicity
White
90.8%
Hispanic or Latino
2.4%
American Indian / Alaska Native
2.4%
Two or more races
2.2%
Black or African American
1.3%
Other race
0.7%
Asian
0.2%
| Group | Count | % |
|---|---|---|
| White | 2,348 | 90.8% |
| Hispanic or Latino | 62 | 2.4% |
| American Indian / Alaska Native | 62 | 2.4% |
| Two or more races | 57 | 2.2% |
| Black or African American | 33 | 1.3% |
| Other race | 17 | 0.7% |
| Asian | 6 | 0.2% |
Household income
Under $10k
1.0%
$10k–$15k
3.2%
$15k–$25k
10.1%
$25k–$35k
5.8%
$35k–$50k
12.3%
$50k–$75k
20.3%
$75k–$100k
18.5%
$100k–$150k
17.8%
$150k–$200k
3.7%
$200k+
7.4%
| Range | % of households |
|---|---|
| Under $10k | 1.0% |
| $10k–$15k | 3.2% |
| $15k–$25k | 10.1% |
| $25k–$35k | 5.8% |
| $35k–$50k | 12.3% |
| $50k–$75k | 20.3% |
| $75k–$100k | 18.5% |
| $100k–$150k | 17.8% |
| $150k–$200k | 3.7% |
| $200k+ | 7.4% |
| Median income | $73,098 |
Housing
Home values
Under $50k
18.4%
$50k–$100k
23.0%
$100k–$150k
17.5%
$150k–$200k
9.5%
$200k–$300k
15.7%
$300k–$500k
7.5%
$500k–$1M
7.7%
$1M+
0.6%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $121,967 |
| Median rent / month | $765 |
| Owner occupied | 76.4% |
| Renter occupied | 23.6% |
| Vacant | 12.4% |
| Single-family detached | 87.7% |
| Large apartment buildings | 0.6% |
| Mobile homes | 6.2% |
| Median rooms | 6.0 |
| Avg household size (owned) | 2.53 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.0% |
| 2010–2019 | 8.8% |
| 2000–2009 | 10.9% |
| 1990–1999 | 4.6% |
| 1980–1989 | 4.1% |
| 1970–1979 | 8.5% |
| 1960–1969 | 9.5% |
| 1950–1959 | 9.4% |
| 1940–1949 | 2.0% |
| 1939 or earlier | 42.2% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.6% |
| 1 bedroom | 6.2% |
| 2 bedrooms | 25.7% |
| 3 bedrooms | 39.1% |
| 4 bedrooms | 20.3% |
| 5+ bedrooms | 8.2% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 1.8% |
| 1 vehicle | 22.6% |
| 2 vehicles | 34.3% |
| 3 or more | 41.3% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 2.2% |
| Electricity | 45.4% |
| Propane / LP gas | 41.1% |
| Fuel oil | 5.6% |
| Wood | 0.5% |
| No fuel used | 0.7% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 567 | 55.2% |
| Cohabiting couple | 48 | 4.1% |
| Male householder, no spouse | 193 | 20.0% |
| Female householder, no spouse | 212 | 20.7% |
| Households with children under 18 | 289 | 27.7% |
| Households with seniors (65+) | 323 | 32.2% |
| Average household size | 2.36 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 32.4% | 19.2% |
| Married | 58.7% | 59.4% |
| Separated | 0.4% | 1.7% |
| Widowed | 1.5% | 12.7% |
| Divorced | 7.0% | 7.0% |
Education
Less than 9th grade
5.0%
Some HS, no diploma
4.7%
HS graduate
36.9%
Some college, no degree
16.9%
Associate's degree
19.0%
Bachelor's degree
13.0%
Graduate / professional
4.5%
| Metric | % |
|---|---|
| HS diploma or higher | 90.3% |
| Bachelor's or higher | 17.4% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 40 | 6.6% |
| Kindergarten | 17 | 3.0% |
| Elementary school | 288 | 52.2% |
| High school | 167 | 31.7% |
| College / grad school | 53 | 6.5% |
Employment
Industry of employment
Agriculture & mining
25.6%
Education & healthcare
24.4%
Manufacturing
9.7%
Retail trade
9.4%
Transportation & utilities
6.9%
Wholesale trade
4.7%
Construction
4.4%
Professional & management
4.0%
Arts, food & hospitality
3.1%
Other services
3.1%
Public administration
2.6%
Finance & real estate
1.2%
Information
0.8%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 40.0% |
| Service | 12.3% |
| Sales & office | 15.8% |
| Natural resources & construction | 14.6% |
| Production & transportation | 17.3% |
Employment type
| Type | % |
|---|---|
| Private sector | 70.1% |
| Government | 11.6% |
| Self-employed | 17.6% |
| Unpaid family workers | 0.7% |
Commute
| Method | % |
|---|---|
| Drive alone | 75.7% |
| Carpool | 5.8% |
| Public transit | 0.0% |
| Walk | 3.8% |
| Other means | 0.2% |
| Avg commute (minutes) | 18.6 |
Poverty
All people
5.3%
Under 18 years
6.8%
18 and over
4.9%
Married-couple families
0.3%
Female-led households
20.2%
Income support
| Source | % of households |
|---|---|
| Social Security | 28.7% |
| Retirement income | 16.8% |
| Supplemental Security | 6.2% |
| Cash public assistance | 1.0% |
| Food stamps / SNAP | 4.5% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 33.3% |
| High cholesterol | 33.5% |
| Heart disease | 7.7% |
| Stroke | 3.4% |
| Asthma | 8.5% |
| Arthritis | 26.3% |
| Kidney disease | 3.2% |
| Pulmonary disease | 6.3% |
| Cancer | 8.7% |
| Behavior / access | % |
|---|---|
| Binge drinking | 18.0% |
| No physical activity | 23.1% |
| Less than 7 hrs sleep | 28.3% |
| Fair or poor health | 11.4% |
| Poor mental health | 9.9% |
| Poor physical health | 8.9% |
| No health insurance | 12.1% |
| Visited doctor (checkup) | 76.3% |
| Visited dentist | 67.0% |
| Cholesterol screening | 90.5% |
| Teeth loss | 13.7% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 100 | 5.4% |
| Disability | % |
|---|---|
| Any disability | 13.0% |
| Under 18 | 3.6% |
| 18–64 years | 10.8% |
| 65 and over | 31.9% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 75.6% |
| Public insurance | 26.7% |
| Uninsured under 19 | 5.3% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 2,347 | 92.6% |
| Spanish | 95 | 3.6% |
| Other Indo-European | 95 | 3.6% |
| Asian & Pacific Islander | 0 | 0.0% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 2,415 | 96.4% |
| Born in same state | 2,387 | 95.2% |
| Born in different state | 1,988 | 79.7% |
| Foreign born | 28 | 1.2% |
| Naturalized citizen | 108 | 3.6% |
| Not a US citizen | 16 | 6.1% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| English | 315 | 12.5% |
| Arab | 224 | 8.9% |
| Polish | 218 | 8.6% |
| French | 145 | 5.7% |
| Ancestry | Count | % |
|---|---|---|
| Italian | 139 | 5.5% |
| Dutch | 23 | 0.9% |
| Irish | 5 | 0.2% |
| German | 2 | 0.1% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 40.8% |
| Internet access | 88.9% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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