Chickasaw County, MS ZIP Codes
Mississippi (MS) · 6 ZIP codes · 6 cities
6
ZIP codes
17,011
population (2021)
-2.2%
pop change since 2010
28017
FIPS code
Chickasaw County ZIP code map
About Chickasaw County
Chickasaw County is located in Mississippi and contains 6 ZIP codes across 6 cities and communities.
The county's population was 17,011 as of 2021,
a decrease of
2.2% from 17,392 in 2010.
The timezone is Mountain Time (observes DST).
The Federal Information Processing System (FIPS) code for Chickasaw County is 28017.
| Population | |
|---|---|
| 2021 population | 17,011 |
| 2010 population | 17,392 |
| Change | -2.2% |
| County details | |
|---|---|
| State | Mississippi |
| FIPS code | 28017 |
| Timezone | Mountain |
| Daylight saving | Yes |
Cities in Chickasaw County
ZIP codes for Chickasaw County, MS (6)
| ZIP code | City | County | Map |
|---|---|---|---|
| 38850 | Houlka | Chickasaw | View map |
| 38851 | Houston | Chickasaw | View map |
| 38860 | Okolona | Chickasaw | View map |
| 38875 | Trebloc | Chickasaw | View map |
| 38877 | Van Vleet | Chickasaw | View map |
| 39776 | Woodland | Chickasaw | View map |
Demographics & statistics
19,507
Population
39.1
Median age
$41,575
Median household income
$21,987
Per capita income
$87,600
Median home value
$708
Median monthly rent
71.0%
Home ownership
25.0%
Poverty rate
3.1%
Unemployment
6,527
Housing units
11.0%
Bachelor's or higher
Age distribution
Male
Female
754
Under 5
734
551
5–9
537
785
10–14
764
594
15–19
578
594
20–24
579
1,284
25–34
1,250
1,145
35–44
1,115
1,197
45–54
1,165
482
55–59
470
694
60–64
676
1,091
65–74
1,063
489
75–84
477
222
85+
217
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 4,975 | 23.0% |
| 18 and over | 14,532 | 77.0% |
| 65 and over | 3,559 | 18.1% |
| Median age | 39.1 years | |
Race & ethnicity
White
52%
Black or African American
40.2%
Hispanic or Latino
3%
Other race
2.9%
Two or more races
1.7%
Asian
0.1%
| Group | Count | % |
|---|---|---|
| White | 10,463 | 52% |
| Black or African American | 8,088 | 40.2% |
| Hispanic or Latino | 600 | 3% |
| Other race | 574 | 2.9% |
| Two or more races | 347 | 1.7% |
| Asian | 30 | 0.1% |
Household income
Under $10k
9.1%
$10k–$15k
11.4%
$15k–$25k
12.9%
$25k–$35k
7.7%
$35k–$50k
16.4%
$50k–$75k
17.0%
$75k–$100k
11.2%
$100k–$150k
9.5%
$150k–$200k
4.0%
$200k+
0.8%
| Range | % of households |
|---|---|
| Under $10k | 9.1% |
| $10k–$15k | 11.4% |
| $15k–$25k | 12.9% |
| $25k–$35k | 7.7% |
| $35k–$50k | 16.4% |
| $50k–$75k | 17.0% |
| $75k–$100k | 11.2% |
| $100k–$150k | 9.5% |
| $150k–$200k | 4.0% |
| $200k+ | 0.8% |
| Median income | $41,575 |
Housing
Home values
Under $50k
30.3%
$50k–$100k
27.3%
$100k–$150k
15.0%
$150k–$200k
8.6%
$200k–$300k
11.3%
$300k–$500k
6.7%
$500k–$1M
0.4%
$1M+
0.5%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $87,600 |
| Median rent / month | $708 |
| Owner occupied | 71.0% |
| Renter occupied | 29.0% |
| Vacant | 17.2% |
| Single-family detached | 69.0% |
| Large apartment buildings | 0.3% |
| Mobile homes | 25.5% |
| Median rooms | 5.6 |
| Avg household size (owned) | 2.62 |
Year built
| Era | % |
|---|---|
| 2020 or later | 1.1% |
| 2010–2019 | 7.1% |
| 2000–2009 | 11.4% |
| 1990–1999 | 17.2% |
| 1980–1989 | 15.7% |
| 1970–1979 | 19.7% |
| 1960–1969 | 13.8% |
| 1950–1959 | 7.0% |
| 1940–1949 | 2.3% |
| 1939 or earlier | 4.9% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.1% |
| 1 bedroom | 2.9% |
| 2 bedrooms | 18.9% |
| 3 bedrooms | 59.9% |
| 4 bedrooms | 15.1% |
| 5+ bedrooms | 3.1% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 8.8% |
| 1 vehicle | 30.6% |
| 2 vehicles | 32.0% |
| 3 or more | 28.6% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 15.6% |
| Electricity | 52.0% |
| Propane / LP gas | 27.5% |
| Fuel oil | 0.3% |
| Wood | 4.5% |
| No fuel used | 0.2% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 3,304 | 47.9% |
| Cohabiting couple | 280 | 3.8% |
| Male householder, no spouse | 1,470 | 17.6% |
| Female householder, no spouse | 2,516 | 30.7% |
| Households with children under 18 | 2,502 | 29.8% |
| Households with seniors (65+) | 2,601 | 34.2% |
| Average household size | 2.51 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 31.5% | 27.7% |
| Married | 50.7% | 49.4% |
| Separated | 3.8% | 1.6% |
| Widowed | 2.0% | 12.1% |
| Divorced | 12.0% | 9.3% |
Education
Less than 9th grade
8.5%
Some HS, no diploma
17.5%
HS graduate
35.7%
Some college, no degree
17.7%
Associate's degree
9.6%
Bachelor's degree
7.8%
Graduate / professional
3.3%
| Metric | % |
|---|---|
| HS diploma or higher | 74.0% |
| Bachelor's or higher | 11.0% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 324 | 5.3% |
| Kindergarten | 239 | 4.8% |
| Elementary school | 2,099 | 47.9% |
| High school | 1,020 | 19.4% |
| College / grad school | 729 | 22.8% |
Employment
Industry of employment
Manufacturing
32.9%
Education & healthcare
22.1%
Retail trade
8.0%
Transportation & utilities
7.8%
Agriculture & mining
5.2%
Arts, food & hospitality
5.0%
Professional & management
4.8%
Construction
4.2%
Other services
4.0%
Public administration
3.2%
Finance & real estate
1.8%
Wholesale trade
0.8%
Information
0.4%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 20.2% |
| Service | 14.1% |
| Sales & office | 18.7% |
| Natural resources & construction | 10.4% |
| Production & transportation | 36.7% |
Employment type
| Type | % |
|---|---|
| Private sector | 80.4% |
| Government | 12.4% |
| Self-employed | 7.0% |
| Unpaid family workers | 0.2% |
Commute
| Method | % |
|---|---|
| Drive alone | 87.3% |
| Carpool | 6.8% |
| Public transit | 0.0% |
| Walk | 1.9% |
| Other means | 1.6% |
| Avg commute (minutes) | 27.2 |
Poverty
All people
25.0%
Under 18 years
27.8%
18 and over
23.0%
Married-couple families
14.2%
Female-led households
50.0%
Income support
| Source | % of households |
|---|---|
| Social Security | 46.8% |
| Retirement income | 17.3% |
| Supplemental Security | 10.2% |
| Cash public assistance | 2.1% |
| Food stamps / SNAP | 17.5% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 46.2% |
| High cholesterol | 37.8% |
| Heart disease | 8.3% |
| Stroke | 4.9% |
| Asthma | 10.6% |
| Arthritis | 31.4% |
| Kidney disease | 3.8% |
| Pulmonary disease | 9.3% |
| Cancer | 6.3% |
| Behavior / access | % |
|---|---|
| Binge drinking | 12.9% |
| No physical activity | 33.9% |
| Less than 7 hrs sleep | 36.6% |
| Fair or poor health | 24.8% |
| Poor mental health | 15.7% |
| Poor physical health | 13.3% |
| No health insurance | 22.4% |
| Visited doctor (checkup) | 78.2% |
| Visited dentist | 48.4% |
| Cholesterol screening | 88.5% |
| Teeth loss | 22.5% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 544 | 3.1% |
| Disability | % |
|---|---|
| Any disability | 20.8% |
| Under 18 | 5.3% |
| 18–64 years | 19.4% |
| 65 and over | 42.6% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 58.3% |
| Public insurance | 44.1% |
| Uninsured under 19 | 3.5% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 18,019 | 93.7% |
| Spanish | 336 | 1.1% |
| Other Indo-European | 286 | 0.9% |
| Asian & Pacific Islander | 14 | 0.1% |
| Other languages | 36 | 0.1% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 19,085 | 98.5% |
| Born in same state | 19,056 | 98.4% |
| Born in different state | 16,518 | 87.0% |
| Foreign born | 29 | 0.1% |
| Naturalized citizen | 422 | 1.5% |
| Not a US citizen | 53 | 26.9% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Arab | 2,987 | 15.3% |
| French | 1,259 | 6.5% |
| Italian | 1,002 | 5.1% |
| English | 135 | 0.7% |
| Ancestry | Count | % |
|---|---|---|
| Polish | 25 | 0.1% |
| Irish | 5 | 0% |
| German | 1 | 0% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 39.3% |
| Internet access | 81.7% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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