Zip Codes with the Highest Percentage of Families with Income Below $10,000 in Columbus, OH

Q: What are the Top 10 Zip Codes with the Highest Percentage of Families with Income Below $10,000 in Columbus, OH?

Top 10 Zip Codes with the Highest Percentage of Families with Income Below $10,000 in Columbus, OH are: #1 43203 17.6% . #2 43211 11.7% . #3 43229 8.9% . #4 43223 8.6% . #5 43205 8.3% . #6 43224 8.0% . #7 43201 7.9% . #8 43210 7.1% . #9 43228 6.9% . #10 43227 6.5% .

Q: What zip code has the Highest Percentage of Families with Income Below $10,000 in Columbus, OH?

43203 has the Highest Percentage of Families with Income Below $10,000 in Columbus, OH with 17.6%.

Q: What is the Percentage of Families with Income Below $10,000 in Ohio?

Percentage of Families with Income Below $10,000 in Ohio is 3.3%.

Q: What is the Percentage of Families with Income Below $10,000 in the United States?

Percentage of Families with Income Below $10,000 in the United States is 3.1%.

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Family Income | $0-10k

Population

Highest Population Highest Population Density Lowest Population Density Male / Female Ratio Female / Male Ratio Oldest Population Oldest Population | Male Oldest Population | Female Youngest Population Youngest Population | Male Youngest Population | Female

Families and Households

Largest Family Size Largest Household Size Most Single Fathers Most Single Mothers Fewest Single Fathers Fewest Single Mothers Smallest Family Size Smallest Household Size

Female Fertility

Female Fertility (Unmarried)

Race (Community Size)

Asian Black / African American Hawaiian / Pacific Hispanic or Latino Native / Alaskan White / Caucasian

Race (Percentage)

Asian Black / African American Hawaiian / Pacific Hispanic or Latino Native / Alaskan White / Caucasian

Ancestry (Community Size)

Afghan African Albanian Alsatian American Apache Arab Argentinean Armenian Australian Austrian Bahamian Bangladeshi Barbadian Basque Belgian Belizean Bhutanese Blackfeet Bolivian Brazilian British British West Indian Bulgarian Burmese Cambodian Canadian Cape Verdean Carpatho Rusyn Celtic Central American Central American Indian Cherokee Chilean Chippewa Choctaw Colombian Costa Rican Cree Creek Croatian Crow Cuban Czech Czechoslovakian Danish Delaware Dominican Dutch Dutch West Indian Eastern European Ecuadorian Egyptian English Estonian Ethiopian European Filipino Finnish French French American Indian French Canadian German German Russian Ghanaian Greek Guamanian / Chamorro Guatemalan Guyanese Haitian Honduran Hungarian Icelander Indian (Asian)Indonesian Inupiat Iranian Iraqi Irish Iroquois Israeli Italian Jamaican Japanese Jordanian Kenyan Korean Laotian Latvian Lebanese Liberian Lithuanian Lumbee Luxembourger Macedonian Malaysian Maltese Mexican Mexican American Indian Mongolian Moroccan Native Hawaiian Navajo New Zealander Nicaraguan Nigerian Northern European Norwegian Pakistani Palestinian Panamanian Paraguayan Pennsylvania German Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Seminole Senegalese Serbian Sierra Leonean Sioux Slavic Slovak Slovene Somali South African South American South American Indian Spaniard Spanish Sri Lankan Subsaharan African Sudanese Swedish Swiss Syrian Thai Trinidadian and Tobagonian Turkish Ugandan Ukrainian Uruguayan Venezuelan Vietnamese Welsh West Indian Yaqui Yugoslavian Zimbabwean

Ancestry (Percentage)

Immigrant Origin (Total)

Afghanistan Africa Albania Argentina Armenia Asia Australia Bahamas Bangladesh Barbados Belarus Belgium Belize Bosnia and Herzegovina Brazil Bulgaria Burma / Myanmar Cambodia Cameroon Canada Caribbean Central America Chile China Colombia Congo Costa Rica Cuba Czechoslovakia Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador Egypt El Salvador England Eritrea Ethiopia Europe France Germany Ghana Greece Guatemala Guyana Haiti Honduras Hong Kong Hungary India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Korea Kuwait Laos Latin America Latvia Lebanon Liberia Lithuania Malaysia Mexico Middle Africa Morocco Nepal Netherlands Nigeria North Macedonia Northern Africa Northern Europe Oceania Pakistan Panama Peru Philippines Poland Romania Russia Saudi Arabia Scotland Senegal Serbia Sierra Leone Singapore Somalia South Africa South America South Central Asia South Eastern Asia Southern Europe Spain Sri Lanka Sudan Switzerland Syria Taiwan Thailand Trinidad and Tobago Turkey Uganda Ukraine Uruguay Uzbekistan Venezuela Vietnam Western Africa Western Asia Western Europe Zaire Zimbabwe

Immigrant Origin (Percentage)

Income

Highest Per Capita Income Highest Earnings | Male Highest Earnings | Female Highest Wage/Income Gap ($)Highest Wage/Income Gap (%)Highest Inequality / Gini Index Lowest Per Capita Income Lowest Earnings | Male Lowest Earnings | Female Lowest Wage/Income Gap ($)Lowest Wage/Income Gap (%)Lowest Inequality / Gini Index

Income (Families)

Highest Family Income Lowest Family IncomeFamily Income | $0-10kFamily Income | $100k+Family Income | $200k+

Income (Households)

Highest Household Income Lowest Household Income Household Income | $0-10k Household Income | $200k+Household Income | $100k+

Poverty

Poverty (Families)

Unemployment

Employment Occupations

Architecture & Engineering Arts, Media & Entertainment Business & Financial Cleaning & Maintenance Community & Social Service Computer & Mathematics Computer, Engineering & Science Construction & Extraction Education Instruction & Library Education, Arts & Media Farming, Fishing & Forestry Firefighting & Prevention Food Preparation & Serving Health Diagnosing & Treating Health Technologists Healthcare Support Installation, Maintenance & Repair Law Enforcement Legal Services & Support Life, Physical & Social Science Management Material Moving Office & Administration Personal Care and Service Production Sales & Related Security & Protection Transportation

Employment Industries

Accommodation & Food Services Administrative & Support Services Agriculture, Fishing & Hunting Arts, Entertainment & Recreation Construction Educational Services Enterprise Management Finance & Insurance Health Care & Social Assistance Information & Technology Manufacturing Mining, Quarrying, & Extraction Professional & Scientific Services Public Administration Real Estate, Rental & Leasing Retail Trade Transportation & Warehousing Utilities Wholesale Trade

Employer Class

Private Company Employees Self-Employed / Incorporated Self-Employed / Not Incorporated Not-for-profit Organizations Local Government Employees State Government Employees Federal Government Employees Unpaid Family Workers

Commute Time

Longest Commute Longest Commute | Male Longest Commute | Female Shortest Commute Shortest Commute | Male Shortest Commute | Female

Commute Means

Drive | Alone Drive | Carpool Public Transit Taxi / Cab Walk to Work Work from Home

School Enrollment

In Private School Nursery / Preschool Kindergarten Elementary School Middle School High School College University

Education by Degree Field

Computers and Mathematics Bio, Nature & Agricultural Physical and Health Sciences Psychology Social Sciences Engineering Multidisciplinary Studies Science and Engineering Business Education Literature and Languages Liberal Arts and History Visual and Performing Arts Communications Arts and Humanities

Occupancy

Highest Owner-Occupied Highest Renter-Occupied Lowest Owner-Occupied Lowest Renter-Occupied

Finances

Highest Median Housing Costs Highest Property Prices Highest Owner Housing Costs Highest Renter Housing Costs Highest Housing Costs / Income Lowest Median Housing Costs Lowest Property Prices Lowest Owner Housing Costs Lowest Renter Housing Costs Lowest Housing Costs / Income

Physical Characteristics

Detached Home Residency Condo/Apartment Residency Utility Gas Heating Bottled Gas / LP Heating Electrical Heating Fuel Oil Heating Coal / Coke Heating Fuel-less Heating Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Columbus

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Map of Zip Codes with the Highest Percentage of Families with Income Below $10,000 in Columbus

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Zip Codes with the Highest Percentage of Families with Income Below $10,000 in Columbus Map

Zip Codes with the Highest Percentage of Families with Income Below $10,000 in Columbus, OH

	Zip Code	Families with Income < $10k	vs State	vs National
1.	43203	17.6%	3.3%(+14.3)#17	3.1%(+14.5)#609
2.	43211	11.7%	3.3%(+8.40)#46	3.1%(+8.60)#1,393
3.	43229	8.9%	3.3%(+5.60)#98	3.1%(+5.80)#2,398
4.	43223	8.6%	3.3%(+5.30)#103	3.1%(+5.50)#2,562
5.	43205	8.3%	3.3%(+5.00)#118	3.1%(+5.20)#2,776
6.	43224	8.0%	3.3%(+4.70)#127	3.1%(+4.90)#2,947
7.	43201	7.9%	3.3%(+4.60)#130	3.1%(+4.80)#3,016
8.	43210	7.1%	3.3%(+3.80)#151	3.1%(+4.00)#3,561
9.	43228	6.9%	3.3%(+3.60)#155	3.1%(+3.80)#3,688
10.	43227	6.5%	3.3%(+3.20)#169	3.1%(+3.40)#4,109
11.	43219	5.7%	3.3%(+2.40)#196	3.1%(+2.60)#5,022
12.	43206	5.5%	3.3%(+2.20)#208	3.1%(+2.40)#5,323
13.	43204	5.0%	3.3%(+1.70)#241	3.1%(+1.90)#6,082
14.	43213	4.3%	3.3%(+1.000)#282	3.1%(+1.20)#7,411
15.	43202	4.3%	3.3%(+1.000)#283	3.1%(+1.20)#7,448
16.	43215	4.1%	3.3%(+0.800)#308	3.1%(+1.000)#7,938
17.	43207	3.2%	3.3%(-0.100)#396	3.1%(+0.100)#10,416
18.	43232	3.1%	3.3%(-0.200)#411	3.1%(=0.000)#10,758
19.	43235	2.5%	3.3%(-0.800)#487	3.1%(-0.600)#13,041
20.	43220	1.7%	3.3%(-1.60)#629	3.1%(-1.40)#16,760
21.	43214	1.7%	3.3%(-1.60)#631	3.1%(-1.40)#16,783
22.	43230	1.6%	3.3%(-1.70)#648	3.1%(-1.50)#17,178
23.	43209	1.5%	3.3%(-1.80)#671	3.1%(-1.60)#17,740
24.	43231	1.4%	3.3%(-1.90)#693	3.1%(-1.70)#18,282
25.	43217	1.4%	3.3%(-1.90)#705	3.1%(-1.70)#18,533
26.	43221	0.70%	3.3%(-2.60)#808	3.1%(-2.40)#21,669
27.	43212	0.40%	3.3%(-2.90)#870	3.1%(-2.70)#23,032
28.	43222	0.40%	3.3%(-2.90)#883	3.1%(-2.70)#23,199
29.	43085	0.30%	3.3%(-3.00)#888	3.1%(-2.80)#23,367