Ohio ZIP Codes
Ohio ZIP code list — 1,056 ZIP codes across 88 counties and 764 cities. Search by city or filter by county.
1,056
ZIP codes
88
counties
764
cities
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| ZIP code | City | County | Map |
|---|
About Ohio ZIP codes
Ohio is served by 1,056 ZIP codes that span across all 88 of its counties and approximately 764 cities and communities. These ZIP codes range from 43001 to 45999, using 30 distinct three-digit prefixes that cover everything from the bustling metro areas of Cleveland, Columbus, and Cincinnati to the rural farmlands and Appalachian foothills of the state's eastern and southern regions. Hamilton County, home to Cincinnati, leads the state with 68 ZIP codes, underscoring the density and complexity of Ohio's urban postal infrastructure. Whether you're researching demographics, planning a mailing campaign, or simply looking up a neighborhood, Ohio's extensive ZIP code system reflects the geographic and cultural diversity of the Buckeye State.
Ohio ZIP codes span prefixes from 430 through 459, reflecting a geographic distribution that generally moves from the northeast to the southwest across the state. Prefixes beginning with 44 serve the northeastern region including Cleveland and Akron, while 43 prefixes cover central Ohio around Columbus. The 45 prefixes correspond to southwestern Ohio, including Cincinnati and Dayton.
Hamilton County leads Ohio with 68 ZIP codes, which reflects its status as home to Cincinnati—the state's third-largest city—and its densely populated surrounding suburbs that require extensive postal routing coverage.
Quick facts
- Ohio was one of the original states to receive its ZIP code assignments when the system launched on July 1, 1963, and its codes were among the first to be widely adopted due to the state's large volume of commercial mail from industrial cities like Cleveland, Cincinnati, and Columbus.
- The ZIP code 43001 in Alexandria, Ohio, is one of the lowest-numbered codes in the state, while 45999 in Dayton serves as one of the highest, illustrating how Ohio's codes span nearly 3,000 numbers across the 43000–45999 range.
- Ohio's 30 distinct three-digit ZIP prefixes are managed by multiple USPS Sectional Center Facilities spread across the state, making it one of the most subdivided postal states east of the Mississippi River.
Frequently asked questions
What ZIP codes are in Columbus, Ohio?
Columbus, Ohio uses numerous ZIP codes primarily in the 432 prefix range. Some of the most well-known include 43201 through 43240, covering areas such as downtown Columbus (43215), the Short North and Ohio State University area (43201 and 43210), Upper Arlington (43221), and Westerville (43081 and 43082). The greater Columbus metro area extends into additional surrounding ZIP codes as well.
How many ZIP codes does Ohio have?
Ohio has a total of 1,056 ZIP codes, covering 88 counties and approximately 764 cities and communities. This makes Ohio one of the states with the highest number of ZIP codes in the country, reflecting its large population and diverse mix of urban, suburban, and rural areas.
What do Ohio ZIP codes start with?
Ohio ZIP codes start with the digits 43, 44, or 45. More specifically, the state uses 30 three-digit prefixes ranging from 430 to 459. The 43 prefixes generally serve central and parts of eastern Ohio, 44 prefixes cover the northeastern portion of the state including Cleveland and Akron, and 45 prefixes serve the southwestern region including Cincinnati and Dayton.
Which county in Ohio has the most ZIP codes?
Hamilton County has the most ZIP codes in Ohio with 68, followed by Cuyahoga County with 59 and Franklin County with 58. These three counties are home to Ohio's three largest cities—Cincinnati, Cleveland, and Columbus, respectively—and their large populations and sprawling metropolitan areas require a high number of distinct ZIP codes to efficiently sort and deliver mail.
Looking for a downloadable Ohio ZIP code list? Our Gold Edition database includes all 1,056 OH ZIP codes with city, county, latitude, longitude, timezone, and FIPS codes — available in Excel, CSV, and Access formats.
Last updated April 2026
Demographics & statistics
11,702,222
Population
40.0
Median age
$71,107
Median household income
$37,792
Per capita income
$173,517
Median home value
$823
Median monthly rent
73.7%
Home ownership
13.2%
Poverty rate
4.7%
Unemployment
3,637,619
Housing units
23.5%
Bachelor's or higher
Age distribution
Male
Female
338,133
Under 5
334,843
351,477
5–9
348,058
377,089
10–14
373,420
384,616
15–19
380,874
382,960
20–24
379,235
771,873
25–34
764,364
719,559
35–44
712,559
723,187
45–54
716,152
399,238
55–59
395,354
398,280
60–64
394,405
612,188
65–74
606,233
296,671
75–84
293,784
124,440
85+
123,230
← Male
Female →
Age summary
| Group | Count | % |
|---|---|---|
| Under 18 | 2,579,409 | 22.1% |
| 18 and over | 9,122,813 | 77.9% |
| 65 and over | 2,056,546 | 18.5% |
| Median age | 40.0 years | |
Race & ethnicity
White
76.4%
Black or African American
12%
Two or more races
4.8%
Hispanic or Latino
3%
Asian
2.3%
Other race
1.3%
American Indian / Alaska Native
0.1%
| Group | Count | % |
|---|---|---|
| White | 9,216,277 | 76.4% |
| Black or African American | 1,445,751 | 12% |
| Two or more races | 579,264 | 4.8% |
| Hispanic or Latino | 360,965 | 3% |
| Asian | 283,032 | 2.3% |
| Other race | 156,836 | 1.3% |
| American Indian / Alaska Native | 17,033 | 0.1% |
Household income
Under $10k
4.9%
$10k–$15k
4.3%
$15k–$25k
8.0%
$25k–$35k
8.4%
$35k–$50k
12.5%
$50k–$75k
18.1%
$75k–$100k
13.8%
$100k–$150k
17.0%
$150k–$200k
6.9%
$200k+
6.1%
| Range | % of households |
|---|---|
| Under $10k | 4.9% |
| $10k–$15k | 4.3% |
| $15k–$25k | 8.0% |
| $25k–$35k | 8.4% |
| $35k–$50k | 12.5% |
| $50k–$75k | 18.1% |
| $75k–$100k | 13.8% |
| $100k–$150k | 17.0% |
| $150k–$200k | 6.9% |
| $200k+ | 6.1% |
| Median income | $71,107 |
Housing
Home values
Under $50k
9.6%
$50k–$100k
16.5%
$100k–$150k
18.4%
$150k–$200k
16.7%
$200k–$300k
20.1%
$300k–$500k
13.3%
$500k–$1M
4.2%
$1M+
0.8%
Housing overview
| Metric | Value |
|---|---|
| Median home value | $173,517 |
| Median rent / month | $823 |
| Owner occupied | 73.7% |
| Renter occupied | 26.2% |
| Vacant | 10.2% |
| Single-family detached | 75.8% |
| Large apartment buildings | 3.7% |
| Mobile homes | 7.1% |
| Median rooms | 6.1 |
| Avg household size (owned) | 2.54 |
Year built
| Era | % |
|---|---|
| 2020 or later | 0.3% |
| 2010–2019 | 4.7% |
| 2000–2009 | 9.9% |
| 1990–1999 | 12.2% |
| 1980–1989 | 8.8% |
| 1970–1979 | 14.2% |
| 1960–1969 | 10.0% |
| 1950–1959 | 11.1% |
| 1940–1949 | 5.3% |
| 1939 or earlier | 23.4% |
Bedrooms
| Size | % of units |
|---|---|
| No bedroom (studio) | 1.3% |
| 1 bedroom | 7.3% |
| 2 bedrooms | 23.2% |
| 3 bedrooms | 46.7% |
| 4 bedrooms | 17.6% |
| 5+ bedrooms | 3.8% |
Vehicles per household
| Vehicles | % of households |
|---|---|
| No vehicle | 6.8% |
| 1 vehicle | 28.2% |
| 2 vehicles | 37.3% |
| 3 or more | 27.5% |
Heating fuel
| Fuel type | % |
|---|---|
| Utility gas | 49.9% |
| Electricity | 26.0% |
| Propane / LP gas | 13.5% |
| Fuel oil | 3.8% |
| Wood | 4.4% |
| No fuel used | 0.5% |
Households & families
| Household type | Count | % |
|---|---|---|
| Married-couple family | 2,143,026 | 50.2% |
| Cohabiting couple | 358,779 | 7.4% |
| Male householder, no spouse | 912,955 | 18.2% |
| Female householder, no spouse | 1,350,081 | 24.2% |
| Households with children under 18 | 1,357,179 | 29.2% |
| Households with seniors (65+) | 1,468,450 | 32.5% |
| Average household size | 2.49 | |
Marital status
| Status | Male | Female |
|---|---|---|
| Never married | 32.9% | 26.8% |
| Married | 51.3% | 50.1% |
| Separated | 1.3% | 1.6% |
| Widowed | 3.4% | 9.4% |
| Divorced | 11.1% | 12.1% |
Education
Less than 9th grade
3.1%
Some HS, no diploma
6.5%
HS graduate
38.4%
Some college, no degree
19.0%
Associate's degree
9.4%
Bachelor's degree
14.7%
Graduate / professional
8.8%
| Metric | % |
|---|---|
| HS diploma or higher | 90.3% |
| Bachelor's or higher | 23.5% |
School enrollment (ages 3–17)
| Type | Count | % |
|---|---|---|
| Nursery / preschool | 164,775 | 6.2% |
| Kindergarten | 138,546 | 5.4% |
| Elementary school | 1,140,200 | 44.8% |
| High school | 600,371 | 23.8% |
| College / grad school | 685,016 | 19.7% |
Employment
Industry of employment
Education & healthcare
23.1%
Manufacturing
17.4%
Retail trade
10.9%
Professional & management
8.2%
Arts, food & hospitality
7.8%
Construction
7.4%
Transportation & utilities
6.2%
Finance & real estate
5.0%
Other services
4.5%
Public administration
3.8%
Agriculture & mining
2.3%
Wholesale trade
2.2%
Information
1.2%
Occupation
| Category | % |
|---|---|
| Management, business & arts | 33.7% |
| Service | 16.6% |
| Sales & office | 19.3% |
| Natural resources & construction | 10.4% |
| Production & transportation | 19.9% |
Employment type
| Type | % |
|---|---|
| Private sector | 81.2% |
| Government | 12.6% |
| Self-employed | 5.9% |
| Unpaid family workers | 0.2% |
Commute
| Method | % |
|---|---|
| Drive alone | 79.7% |
| Carpool | 8.1% |
| Public transit | 0.9% |
| Walk | 2.2% |
| Other means | 1.4% |
| Avg commute (minutes) | 25.3 |
Poverty
All people
13.2%
Under 18 years
17.3%
18 and over
11.9%
Married-couple families
4.7%
Female-led households
26.0%
Income support
| Source | % of households |
|---|---|
| Social Security | 34.2% |
| Retirement income | 26.8% |
| Supplemental Security | 6.0% |
| Cash public assistance | 2.4% |
| Food stamps / SNAP | 12.1% |
Health indicators
| Condition | % |
|---|---|
| High blood pressure | 34.7% |
| High cholesterol | 31.8% |
| Heart disease | 7.3% |
| Stroke | 3.5% |
| Asthma | 10.5% |
| Arthritis | 28.6% |
| Kidney disease | 3.1% |
| Pulmonary disease | 9.3% |
| Cancer | 6.8% |
| Behavior / access | % |
|---|---|
| Binge drinking | 17.2% |
| No physical activity | 27.5% |
| Less than 7 hrs sleep | 36.9% |
| Fair or poor health | 16.6% |
| Poor mental health | 16.8% |
| Poor physical health | 11.4% |
| No health insurance | 12.5% |
| Visited doctor (checkup) | 76.3% |
| Visited dentist | 61.4% |
| Cholesterol screening | 88.0% |
| Teeth loss | 16.9% |
Veterans & disability
| Veterans | Count | % |
|---|---|---|
| Civilian veterans | 640,193 | 7.5% |
| Disability | % |
|---|---|
| Any disability | 15.1% |
| Under 18 | 5.0% |
| 18–64 years | 12.7% |
| 65 and over | 34.6% |
Health insurance coverage
| Type | % |
|---|---|
| Private insurance | 67.5% |
| Public insurance | 39.0% |
| Uninsured under 19 | 5.7% |
Language & origin
Language spoken at home (age 5+)
| Language | Count | % |
|---|---|---|
| English only | 11,029,246 | 94.3% |
| Spanish | 289,193 | 1.7% |
| Other Indo-European | 95,251 | 0.5% |
| Asian & Pacific Islander | 96,739 | 0.8% |
| Other languages | 55,122 | 0.3% |
Place of birth & citizenship
| Origin | Count | % |
|---|---|---|
| Native born (US) | 11,130,908 | 97.4% |
| Born in same state | 11,020,002 | 96.7% |
| Born in different state | 8,752,763 | 77.9% |
| Foreign born | 110,906 | 0.7% |
| Naturalized citizen | 571,314 | 2.6% |
| Not a US citizen | 308,322 | 51.1% |
Ancestry
| Ancestry | Count | % |
|---|---|---|
| Italian | 1,462,764 | 12.5% |
| French | 1,155,129 | 9.9% |
| Arab | 699,749 | 6% |
| Irish | 164,047 | 1.4% |
| English | 118,305 | 1% |
| Ancestry | Count | % |
|---|---|---|
| Polish | 43,176 | 0.4% |
| German | 26,475 | 0.2% |
| Norwegian | 21,051 | 0.2% |
| Dutch | 15,364 | 0.1% |
Technology access
| Metric | % of households |
|---|---|
| Computer access | 39.9% |
| Internet access | 90.7% |
Source: U.S. Census Bureau, American Community Survey 2025 estimates.