Sibley County, MN ZIP Codes
Minnesota (MN) · 7 ZIP codes · 7 cities
7
ZIP codes
14,917
population (2021)
-2.0%
pop change since 2010
27143
FIPS code
Sibley County ZIP code map
About Sibley County
Sibley County is located in Minnesota and contains 7 ZIP codes across 7 cities and communities.
The county's population was 14,917 as of 2021,
a decrease of
2% from 15,226 in 2010.
The timezone is Mountain Time (observes DST).
The Federal Information Processing System (FIPS) code for Sibley County is 27143.
| Population | |
|---|---|
| 2021 population | 14,917 |
| 2010 population | 15,226 |
| Change | -2.0% |
| County details | |
|---|---|
| State | Minnesota |
| FIPS code | 27143 |
| Timezone | Mountain |
| Daylight saving | Yes |
Cities in Sibley County
ZIP codes for Sibley County, MN (7)
| ZIP code | City | County | Map |
|---|---|---|---|
| 55307 | Arlington | Sibley | View map |
| 55334 | Gaylord | Sibley | View map |
| 55335 | Gibbon | Sibley | View map |
| 55338 | Green Isle | Sibley | View map |
| 55366 | New Auburn | Sibley | View map |
| 55396 | Winthrop | Sibley | View map |
| 56044 | Henderson | Sibley | View map |
Demographics & statistics
13,009
Population
41.4
Median age
$73,999
Median household income
$37,598
Per capita income
$192,200
Median home value
$920
Median monthly rent
82.7%
Home ownership
8.6%
Poverty rate
3.7%
Unemployment
4,708
Housing units
17.8%
Bachelor's or higher
Age distribution
Male
Female
402
Under 5
377
443
5–9
416
456
10–14
428
399
15–19
374
357
20–24
335
762
25–34
715
801
35–44
753
787
45–54
739
483
55–59
453
517
60–64
485
698
65–74
655
385
75–84
362
220
85+
207
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 3,015 | 22.8% |
| 18 and over | 9,994 | 77.2% |
| 65 and over | 2,527 | 19.5% |
| Median age | 41.4 years | |
Race & ethnicity
White
84.2%
Hispanic or Latino
6.3%
Other race
4.2%
Two or more races
3.4%
Black or African American
1.1%
Asian
0.5%
American Indian / Alaska Native
0.3%
Native Hawaiian / Pacific Islander
0.1%
| Group | Count | % |
|---|---|---|
| White | 11,691 | 84.2% |
| Hispanic or Latino | 875 | 6.3% |
| Other race | 581 | 4.2% |
| Two or more races | 469 | 3.4% |
| Black or African American | 146 | 1.1% |
| Asian | 65 | 0.5% |
| American Indian / Alaska Native | 48 | 0.3% |
| Native Hawaiian / Pacific Islander | 9 | 0.1% |
Household income
Under $10k
3.8%
$10k–$15k
4.0%
$15k–$25k
5.4%
$25k–$35k
5.2%
$35k–$50k
15.3%
$50k–$75k
18.2%
$75k–$100k
14.6%
$100k–$150k
20.7%
$150k–$200k
7.1%
$200k+
5.8%
| Range | % of households |
|---|---|
| Under $10k | 3.8% |
| $10k–$15k | 4.0% |
| $15k–$25k | 5.4% |
| $25k–$35k | 5.2% |
| $35k–$50k | 15.3% |
| $50k–$75k | 18.2% |
| $75k–$100k | 14.6% |
| $100k–$150k | 20.7% |
| $150k–$200k | 7.1% |
| $200k+ | 5.8% |
| Median income | $73,999 |
Housing
Home values
Under $50k
3.8%
$50k–$100k
12.2%
$100k–$150k
16.9%
$150k–$200k
20.2%
$200k–$300k
24.8%
$300k–$500k
16.2%
$500k–$1M
4.5%
$1M+
1.4%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $192,200 |
| Median rent / month | $920 |
| Owner occupied | 82.7% |
| Renter occupied | 17.4% |
| Vacant | 8.9% |
| Single-family detached | 85.6% |
| Large apartment buildings | 4.0% |
| Mobile homes | 2.6% |
| Median rooms | 6.6 |
| Avg household size (owned) | 2.51 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.6% |
| 2010–2019 | 3.2% |
| 2000–2009 | 10.5% |
| 1990–1999 | 8.1% |
| 1980–1989 | 5.7% |
| 1970–1979 | 12.8% |
| 1960–1969 | 8.5% |
| 1950–1959 | 10.0% |
| 1940–1949 | 9.1% |
| 1939 or earlier | 31.6% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.9% |
| 1 bedroom | 5.9% |
| 2 bedrooms | 20.9% |
| 3 bedrooms | 44.7% |
| 4 bedrooms | 20.6% |
| 5+ bedrooms | 7.1% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 4.5% |
| 1 vehicle | 22.4% |
| 2 vehicles | 37.0% |
| 3 or more | 36.1% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 51.9% |
| Electricity | 11.4% |
| Propane / LP gas | 24.5% |
| Fuel oil | 6.5% |
| Wood | 3.8% |
| No fuel used | 1.0% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 2,755 | 53.3% |
| Cohabiting couple | 347 | 7.0% |
| Male householder, no spouse | 1,068 | 21.7% |
| Female householder, no spouse | 1,024 | 18.0% |
| Households with children under 18 | 1,282 | 24.7% |
| Households with seniors (65+) | 1,785 | 33.8% |
| Average household size | 2.47 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 33.4% | 24.4% |
| Married | 53.3% | 56.8% |
| Separated | 0.4% | 0.9% |
| Widowed | 3.0% | 9.8% |
| Divorced | 10.0% | 8.2% |
Education
Less than 9th grade
2.6%
Some HS, no diploma
4.7%
HS graduate
37.5%
Some college, no degree
24.3%
Associate's degree
13.1%
Bachelor's degree
14.3%
Graduate / professional
3.5%
| Metric | % |
|---|---|
| HS diploma or higher | 92.7% |
| Bachelor's or higher | 17.8% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 171 | 5.8% |
| Kindergarten | 236 | 9.1% |
| Elementary school | 1,278 | 46.4% |
| High school | 679 | 25.3% |
| College / grad school | 398 | 13.5% |
Employment
Industry of employment
Education & healthcare
22.0%
Manufacturing
19.5%
Construction
10.8%
Agriculture & mining
10.6%
Retail trade
7.6%
Professional & management
6.1%
Arts, food & hospitality
5.2%
Transportation & utilities
5.1%
Finance & real estate
3.6%
Other services
3.2%
Public administration
3.1%
Wholesale trade
2.9%
Information
0.4%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 31.7% |
| Service | 13.9% |
| Sales & office | 17.2% |
| Natural resources & construction | 15.1% |
| Production & transportation | 22.1% |
Employment type
| Type | % |
|---|---|
| Private sector | 79.8% |
| Government | 9.5% |
| Self-employed | 10.3% |
| Unpaid family workers | 0.5% |
Commute
| Method | % |
|---|---|
| Drive alone | 80.6% |
| Carpool | 5.8% |
| Public transit | 0.0% |
| Walk | 2.8% |
| Other means | 1.0% |
| Avg commute (minutes) | 25.6 |
Poverty
All people
8.6%
Under 18 years
9.5%
18 and over
8.2%
Married-couple families
3.1%
Female-led households
16.4%
Income support
| Source | % of households |
|---|---|
| Social Security | 35.0% |
| Retirement income | 21.8% |
| Supplemental Security | 3.1% |
| Cash public assistance | 3.3% |
| Food stamps / SNAP | 5.2% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 30.7% |
| High cholesterol | 31.4% |
| Heart disease | 6.8% |
| Stroke | 3.2% |
| Asthma | 9.0% |
| Arthritis | 25.0% |
| Kidney disease | 3.0% |
| Pulmonary disease | 6.1% |
| Cancer | 7.4% |
| Behavior / access | % |
|---|---|
| Binge drinking | 19.7% |
| No physical activity | 22.4% |
| Less than 7 hrs sleep | 28.9% |
| Fair or poor health | 13.0% |
| Poor mental health | 13.4% |
| Poor physical health | 10.0% |
| No health insurance | 12.2% |
| Visited doctor (checkup) | 68.1% |
| Visited dentist | 65.7% |
| Cholesterol screening | 89.4% |
| Teeth loss | 12.3% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 647 | 6.5% |
| Disability | % |
|---|---|
| Any disability | 12.6% |
| Under 18 | 2.4% |
| 18–64 years | 10.5% |
| 65 and over | 30.9% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 76.3% |
| Public insurance | 36.8% |
| Uninsured under 19 | 2.2% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 12,230 | 94.0% |
| Spanish | 356 | 2.5% |
| Other Indo-European | 343 | 2.4% |
| Asian & Pacific Islander | 10 | 0.1% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 12,475 | 96.1% |
| Born in same state | 12,417 | 95.7% |
| Born in different state | 10,832 | 83.9% |
| Foreign born | 58 | 0.4% |
| Naturalized citizen | 534 | 3.9% |
| Not a US citizen | 125 | 25.3% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Italian | 1,179 | 9.1% |
| Polish | 970 | 7.5% |
| French | 437 | 3.4% |
| Arab | 299 | 2.3% |
| Ancestry | Count | % |
|---|---|---|
| English | 123 | 0.9% |
| Dutch | 65 | 0.5% |
| Irish | 40 | 0.3% |
| German | 34 | 0.3% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 40.2% |
| Internet access | 90.2% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
Explore more Minnesota ZIP codes