Cumberland County, IL ZIP Codes
Illinois (IL) · 4 ZIP codes · 4 cities
4
ZIP codes
10,345
population (2021)
-6.4%
pop change since 2010
17035
FIPS code
Cumberland County ZIP code map
About Cumberland County
Cumberland County is located in Illinois and contains 4 ZIP codes across 4 cities and communities.
The county's population was 10,345 as of 2021,
a decrease of
6.4% from 11,048 in 2010.
The timezone is Mountain Time (observes DST).
The Federal Information Processing System (FIPS) code for Cumberland County is 17035.
| Population | |
|---|---|
| 2021 population | 10,345 |
| 2010 population | 11,048 |
| Change | -6.4% |
| County details | |
|---|---|
| State | Illinois |
| FIPS code | 17035 |
| Timezone | Mountain |
| Daylight saving | Yes |
Cities in Cumberland County
ZIP codes for Cumberland County, IL (4)
| ZIP code | City | County | Map |
|---|---|---|---|
| 62428 | Greenup | Cumberland | View map |
| 62436 | Jewett | Cumberland | View map |
| 62447 | Neoga | Cumberland | View map |
| 62468 | Toledo | Cumberland | View map |
Demographics & statistics
9,927
Population
41.7
Median age
$73,930
Median household income
$34,915
Per capita income
$116,840
Median home value
$517
Median monthly rent
75.2%
Home ownership
5.6%
Poverty rate
1.1%
Unemployment
3,759
Housing units
16.9%
Bachelor's or higher
Age distribution
Male
Female
379
Under 5
309
366
5–9
298
304
10–14
248
310
15–19
252
265
20–24
215
684
25–34
557
608
35–44
494
704
45–54
573
390
55–59
317
342
60–64
278
607
65–74
494
288
75–84
235
226
85+
184
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 2,275 | 26.1% |
| 18 and over | 7,652 | 73.9% |
| 65 and over | 2,034 | 17.9% |
| Median age | 41.7 years | |
Race & ethnicity
White
95%
Two or more races
1.7%
Hispanic or Latino
1.6%
Other race
1.5%
Black or African American
0.1%
Asian
0.1%
| Group | Count | % |
|---|---|---|
| White | 9,590 | 95% |
| Two or more races | 168 | 1.7% |
| Hispanic or Latino | 163 | 1.6% |
| Other race | 149 | 1.5% |
| Black or African American | 12 | 0.1% |
| Asian | 8 | 0.1% |
Household income
Under $10k
2.0%
$10k–$15k
1.8%
$15k–$25k
3.1%
$25k–$35k
12.2%
$35k–$50k
10.2%
$50k–$75k
18.7%
$75k–$100k
17.3%
$100k–$150k
23.9%
$150k–$200k
8.3%
$200k+
2.5%
| Range | % of households |
|---|---|
| Under $10k | 2.0% |
| $10k–$15k | 1.8% |
| $15k–$25k | 3.1% |
| $25k–$35k | 12.2% |
| $35k–$50k | 10.2% |
| $50k–$75k | 18.7% |
| $75k–$100k | 17.3% |
| $100k–$150k | 23.9% |
| $150k–$200k | 8.3% |
| $200k+ | 2.5% |
| Median income | $73,930 |
Housing
Home values
Under $50k
7.6%
$50k–$100k
36.3%
$100k–$150k
19.2%
$150k–$200k
14.6%
$200k–$300k
12.7%
$300k–$500k
8.4%
$500k–$1M
1.1%
$1M+
0.1%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $116,840 |
| Median rent / month | $517 |
| Owner occupied | 75.2% |
| Renter occupied | 24.8% |
| Vacant | 9.9% |
| Single-family detached | 88.7% |
| Large apartment buildings | 0.3% |
| Mobile homes | 6.7% |
| Median rooms | 5.6 |
| Avg household size (owned) | 2.42 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.2% |
| 2010–2019 | 5.9% |
| 2000–2009 | 10.8% |
| 1990–1999 | 9.2% |
| 1980–1989 | 5.9% |
| 1970–1979 | 13.6% |
| 1960–1969 | 10.8% |
| 1950–1959 | 8.8% |
| 1940–1949 | 5.4% |
| 1939 or earlier | 29.5% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.5% |
| 1 bedroom | 5.4% |
| 2 bedrooms | 33.3% |
| 3 bedrooms | 47.2% |
| 4 bedrooms | 12.0% |
| 5+ bedrooms | 1.6% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 2.7% |
| 1 vehicle | 25.3% |
| 2 vehicles | 33.2% |
| 3 or more | 38.8% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 41.0% |
| Electricity | 16.6% |
| Propane / LP gas | 37.9% |
| Fuel oil | 0.1% |
| Wood | 3.7% |
| No fuel used | 0.2% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 2,266 | 58.8% |
| Cohabiting couple | 246 | 6.5% |
| Male householder, no spouse | 690 | 17.3% |
| Female householder, no spouse | 733 | 17.4% |
| Households with children under 18 | 1,074 | 31.8% |
| Households with seniors (65+) | 1,460 | 33.8% |
| Average household size | 2.70 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 30.6% | 16.1% |
| Married | 57.5% | 61.5% |
| Separated | 0.4% | 0.3% |
| Widowed | 3.8% | 15.4% |
| Divorced | 7.7% | 6.7% |
Education
Less than 9th grade
2.1%
Some HS, no diploma
4.0%
HS graduate
40.2%
Some college, no degree
17.2%
Associate's degree
19.6%
Bachelor's degree
12.0%
Graduate / professional
4.9%
| Metric | % |
|---|---|
| HS diploma or higher | 94.0% |
| Bachelor's or higher | 16.9% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 203 | 7.8% |
| Kindergarten | 98 | 10.5% |
| Elementary school | 948 | 47.6% |
| High school | 384 | 15.4% |
| College / grad school | 388 | 18.7% |
Employment
Industry of employment
Retail trade
23.2%
Manufacturing
18.1%
Education & healthcare
17.7%
Finance & real estate
7.4%
Construction
6.8%
Arts, food & hospitality
5.4%
Wholesale trade
5.3%
Professional & management
4.7%
Transportation & utilities
3.3%
Agriculture & mining
3.1%
Other services
2.2%
Public administration
2.2%
Information
0.5%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 22.4% |
| Service | 14.6% |
| Sales & office | 17.8% |
| Natural resources & construction | 17.0% |
| Production & transportation | 28.2% |
Employment type
| Type | % |
|---|---|
| Private sector | 85.6% |
| Government | 10.2% |
| Self-employed | 4.0% |
| Unpaid family workers | 0.2% |
Commute
| Method | % |
|---|---|
| Drive alone | 82.3% |
| Carpool | 5.2% |
| Public transit | 0.0% |
| Walk | 7.3% |
| Other means | 0.2% |
| Avg commute (minutes) | 21.0 |
Poverty
All people
5.6%
Under 18 years
5.0%
18 and over
5.7%
Married-couple families
1.3%
Female-led households
14.9%
Income support
| Source | % of households |
|---|---|
| Social Security | 35.0% |
| Retirement income | 30.2% |
| Supplemental Security | 2.4% |
| Cash public assistance | 0.9% |
| Food stamps / SNAP | 8.1% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 34.3% |
| High cholesterol | 33.9% |
| Heart disease | 7.1% |
| Stroke | 3.3% |
| Asthma | 9.8% |
| Arthritis | 28.0% |
| Kidney disease | 3.0% |
| Pulmonary disease | 8.0% |
| Cancer | 7.2% |
| Behavior / access | % |
|---|---|
| Binge drinking | 15.4% |
| No physical activity | 25.8% |
| Less than 7 hrs sleep | 32.4% |
| Fair or poor health | 15.0% |
| Poor mental health | 13.3% |
| Poor physical health | 10.6% |
| No health insurance | 10.7% |
| Visited doctor (checkup) | 76.6% |
| Visited dentist | 62.6% |
| Cholesterol screening | 89.0% |
| Teeth loss | 15.6% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 476 | 5.9% |
| Disability | % |
|---|---|
| Any disability | 12.1% |
| Under 18 | 3.6% |
| 18–64 years | 6.7% |
| 65 and over | 45.4% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 71.8% |
| Public insurance | 36.4% |
| Uninsured under 19 | 3.2% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 9,239 | 91.2% |
| Spanish | 114 | 1.0% |
| Other Indo-European | 105 | 1.0% |
| Asian & Pacific Islander | 9 | 0.1% |
| Other languages | 0 | 0.0% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 9,774 | 98.7% |
| Born in same state | 9,771 | 98.7% |
| Born in different state | 8,675 | 88.7% |
| Foreign born | 3 | 0.0% |
| Naturalized citizen | 153 | 1.3% |
| Not a US citizen | 57 | 47.5% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| French | 1,196 | 12% |
| Italian | 1,094 | 11% |
| Arab | 710 | 7.2% |
| English | 123 | 1.2% |
| Norwegian | 69 | 0.7% |
| Ancestry | Count | % |
|---|---|---|
| Polish | 13 | 0.1% |
| Dutch | 8 | 0.1% |
| German | 5 | 0.1% |
| Irish | 5 | 0.1% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 37.5% |
| Internet access | 92.5% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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