Yalobusha County, MS ZIP Codes
Mississippi (MS) · 5 ZIP codes · 5 cities
5
ZIP codes
12,415
population (2021)
-2.1%
pop change since 2010
28161
FIPS code
Yalobusha County ZIP code map
About Yalobusha County
Yalobusha County is located in Mississippi and contains 5 ZIP codes across 5 cities and communities.
The county's population was 12,415 as of 2021,
a decrease of
2.1% from 12,678 in 2010.
The timezone is Mountain Time (observes DST).
The Federal Information Processing System (FIPS) code for Yalobusha County is 28161.
| Population | |
|---|---|
| 2021 population | 12,415 |
| 2010 population | 12,678 |
| Change | -2.1% |
| County details | |
|---|---|
| State | Mississippi |
| FIPS code | 28161 |
| Timezone | Mountain |
| Daylight saving | Yes |
Cities in Yalobusha County
ZIP codes for Yalobusha County, MS (5)
| ZIP code | City | County | Map |
|---|---|---|---|
| 38922 | Coffeeville | Yalobusha | View map |
| 38948 | Oakland | Yalobusha | View map |
| 38953 | Scobey | Yalobusha | View map |
| 38961 | Tillatoba | Yalobusha | View map |
| 38965 | Water Valley | Yalobusha | View map |
Demographics & statistics
14,653
Population
41.6
Median age
$44,296
Median household income
$24,601
Per capita income
$90,575
Median home value
$560
Median monthly rent
73.4%
Home ownership
20.5%
Poverty rate
5.1%
Unemployment
6,027
Housing units
10.8%
Bachelor's or higher
Age distribution
Male
Female
444
Under 5
476
513
5–9
551
318
10–14
341
435
15–19
466
335
20–24
360
849
25–34
910
872
35–44
936
819
45–54
879
529
55–59
567
479
60–64
514
874
65–74
938
473
75–84
507
129
85+
139
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 3,253 | 18.8% |
| 18 and over | 11,400 | 81.2% |
| 65 and over | 3,060 | 22.8% |
| Median age | 41.6 years | |
Race & ethnicity
White
64.2%
Black or African American
34.2%
Two or more races
0.8%
Hispanic or Latino
0.3%
Other race
0.2%
American Indian / Alaska Native
0.2%
Asian
0.1%
| Group | Count | % |
|---|---|---|
| White | 9,440 | 64.2% |
| Black or African American | 5,032 | 34.2% |
| Two or more races | 116 | 0.8% |
| Hispanic or Latino | 40 | 0.3% |
| Other race | 28 | 0.2% |
| American Indian / Alaska Native | 24 | 0.2% |
| Asian | 13 | 0.1% |
Household income
Under $10k
8.6%
$10k–$15k
11.4%
$15k–$25k
14.4%
$25k–$35k
12.8%
$35k–$50k
12.1%
$50k–$75k
15.4%
$75k–$100k
11.2%
$100k–$150k
10.6%
$150k–$200k
3.0%
$200k+
0.7%
| Range | % of households |
|---|---|
| Under $10k | 8.6% |
| $10k–$15k | 11.4% |
| $15k–$25k | 14.4% |
| $25k–$35k | 12.8% |
| $35k–$50k | 12.1% |
| $50k–$75k | 15.4% |
| $75k–$100k | 11.2% |
| $100k–$150k | 10.6% |
| $150k–$200k | 3.0% |
| $200k+ | 0.7% |
| Median income | $44,296 |
Housing
Home values
Under $50k
25.9%
$50k–$100k
30.1%
$100k–$150k
17.2%
$150k–$200k
13.7%
$200k–$300k
8.6%
$300k–$500k
3.1%
$500k–$1M
1.4%
$1M+
0.1%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $90,575 |
| Median rent / month | $560 |
| Owner occupied | 73.4% |
| Renter occupied | 26.6% |
| Vacant | 27.5% |
| Single-family detached | 66.8% |
| Large apartment buildings | 0.4% |
| Mobile homes | 29.5% |
| Median rooms | 5.7 |
| Avg household size (owned) | 2.29 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.4% |
| 2010–2019 | 6.9% |
| 2000–2009 | 12.2% |
| 1990–1999 | 18.0% |
| 1980–1989 | 18.1% |
| 1970–1979 | 23.8% |
| 1960–1969 | 7.9% |
| 1950–1959 | 6.4% |
| 1940–1949 | 0.8% |
| 1939 or earlier | 5.6% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 0.4% |
| 1 bedroom | 2.5% |
| 2 bedrooms | 24.3% |
| 3 bedrooms | 58.5% |
| 4 bedrooms | 12.4% |
| 5+ bedrooms | 2.1% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 5.8% |
| 1 vehicle | 38.2% |
| 2 vehicles | 30.4% |
| 3 or more | 25.6% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 14.4% |
| Electricity | 42.0% |
| Propane / LP gas | 38.5% |
| Wood | 4.9% |
| No fuel used | 0.3% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 2,557 | 39.9% |
| Cohabiting couple | 284 | 3.3% |
| Male householder, no spouse | 1,212 | 21.3% |
| Female householder, no spouse | 1,850 | 35.6% |
| Households with children under 18 | 1,494 | 21.7% |
| Households with seniors (65+) | 2,257 | 42.2% |
| Average household size | 2.42 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 36.7% | 26.4% |
| Married | 52.3% | 38.2% |
| Separated | 2.5% | 4.3% |
| Widowed | 1.7% | 19.9% |
| Divorced | 7.0% | 11.3% |
Education
Less than 9th grade
7.1%
Some HS, no diploma
11.1%
HS graduate
49.5%
Some college, no degree
15.8%
Associate's degree
5.8%
Bachelor's degree
6.6%
Graduate / professional
4.2%
| Metric | % |
|---|---|
| HS diploma or higher | 81.8% |
| Bachelor's or higher | 10.8% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 189 | 2.7% |
| Kindergarten | 159 | 8.8% |
| Elementary school | 1,318 | 42.4% |
| High school | 635 | 21.8% |
| College / grad school | 513 | 24.4% |
Employment
Industry of employment
Education & healthcare
24.6%
Manufacturing
18.0%
Retail trade
11.2%
Construction
10.7%
Professional & management
7.8%
Transportation & utilities
7.2%
Wholesale trade
6.4%
Public administration
4.1%
Other services
2.7%
Finance & real estate
2.5%
Arts, food & hospitality
2.4%
Information
2.3%
Agriculture & mining
0.4%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 21.1% |
| Service | 13.1% |
| Sales & office | 23.1% |
| Natural resources & construction | 16.3% |
| Production & transportation | 26.5% |
Employment type
| Type | % |
|---|---|
| Private sector | 72.8% |
| Government | 19.4% |
| Self-employed | 7.5% |
| Unpaid family workers | 0.3% |
Commute
| Method | % |
|---|---|
| Drive alone | 88.8% |
| Carpool | 10.3% |
| Public transit | 0.1% |
| Walk | 0.1% |
| Other means | 0.2% |
| Avg commute (minutes) | 30.1 |
Poverty
All people
20.5%
Under 18 years
34.8%
18 and over
17.0%
Married-couple families
2.7%
Female-led households
35.0%
Income support
| Source | % of households |
|---|---|
| Social Security | 52.1% |
| Retirement income | 24.5% |
| Supplemental Security | 9.0% |
| Cash public assistance | 1.4% |
| Food stamps / SNAP | 9.4% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 45.6% |
| High cholesterol | 37.7% |
| Heart disease | 8.0% |
| Stroke | 4.4% |
| Asthma | 9.9% |
| Arthritis | 31.3% |
| Kidney disease | 3.6% |
| Pulmonary disease | 8.6% |
| Cancer | 6.8% |
| Behavior / access | % |
|---|---|
| Binge drinking | 13.2% |
| No physical activity | 29.9% |
| Less than 7 hrs sleep | 33.7% |
| Fair or poor health | 21.2% |
| Poor mental health | 14.7% |
| Poor physical health | 12.0% |
| No health insurance | 19.5% |
| Visited doctor (checkup) | 78.4% |
| Visited dentist | 53.7% |
| Cholesterol screening | 89.8% |
| Teeth loss | 18.0% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 790 | 7.0% |
| Disability | % |
|---|---|
| Any disability | 19.0% |
| Under 18 | 17.0% |
| 18–64 years | 14.4% |
| 65 and over | 39.6% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 52.3% |
| Public insurance | 49.9% |
| Uninsured under 19 | 0.4% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 13,733 | 95.4% |
| Spanish | 240 | 2.4% |
| Other Indo-European | 219 | 2.2% |
| Asian & Pacific Islander | 0 | 0.0% |
| Other languages | 13 | 0.1% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 14,616 | 99.8% |
| Born in same state | 14,584 | 99.7% |
| Born in different state | 11,854 | 82.2% |
| Foreign born | 32 | 0.2% |
| Naturalized citizen | 37 | 0.2% |
| Not a US citizen | 33 | 70.8% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Italian | 1,276 | 8.7% |
| Arab | 1,012 | 6.9% |
| French | 806 | 5.5% |
| Ancestry | Count | % |
|---|---|---|
| English | 135 | 0.9% |
| German | 13 | 0.1% |
| Polish | 6 | 0% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 41.1% |
| Internet access | 85.5% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.
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