Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Greeley, CO

On this page

Comparison Map Comparison Data Common Questions

RELATED REPORTS & OPTIONS

Highest Poverty | Female 25-34

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)

Highest Illegitimacy | All Women Highest Illegitimacy | Women 15-19 Lowest Illegitimacy | All Women Lowest Illegitimacy | Women 15-19

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)

African American Apache Arab Armenian Austrian Basque Belgian Bhutanese Blackfeet British Burmese Canadian Central American Cherokee Chippewa Choctaw Croatian Cuban Czech Danish Dutch Eastern European English Ethiopian European Filipino French French Canadian German German Russian Greek Guamanian / Chamorro Guatemalan Haitian Honduran Hungarian Icelander Indian (Asian)Iranian Irish Italian Kenyan Korean Lebanese Lithuanian Luxembourger Malaysian Mexican Mexican American Indian Native Hawaiian Navajo Northern European Norwegian Pakistani Pennsylvania German Peruvian Polish Portuguese Pueblo Puerto Rican Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Sioux Slovak Slovene Somali South American Spaniard Spanish Spanish American Sri Lankan Subsaharan African Swedish Swiss Thai Ukrainian Welsh Yaqui

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Asia Burma / Myanmar Caribbean Central America China Eastern Africa Eastern Asia Eastern Europe El Salvador England Ethiopia Europe Germany Guatemala Honduras Kenya Korea Latin America Mexico Nigeria Northern Europe Peru Philippines Russia Somalia South Africa South America South Central Asia South Eastern Asia Sweden Switzerland Taiwan Venezuela Western Africa Western Europe

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 Income Family Income | $0-10k Family 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-less Heating Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

Greeley

Compare Zip Codes

Comparison Subject

Compare States Compare CitiesCompare Zip Codes

Map of Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Greeley

0.0%

30.0%

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Greeley Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Greeley, CO

	Zip Code	Female Poverty	vs State	vs National
1.	80631	28.2%	10.4%(+17.8)#54	14.5%(+13.7)#5,277
2.	80634	8.7%	10.4%(-1.78)#213	14.5%(-5.83)#17,244

Common Questions

What are the Top Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Greeley, CO?

Top Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Greeley, CO are:

80631

28.2%

80634

8.7%

What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Greeley, CO?

80631 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Greeley, CO with 28.2%.

What is the Poverty Level Among Females Between Ages 25 and 34 in Greeley, CO?

Poverty Level Among Females Between Ages 25 and 34 in Greeley is 19.0%.

What is the Poverty Level Among Females Between Ages 25 and 34 in Colorado?

Poverty Level Among Females Between Ages 25 and 34 in Colorado is 10.4%.

What is the Poverty Level Among Females Between Ages 25 and 34 in the United States?

Poverty Level Among Females Between Ages 25 and 34 in the United States is 14.5%.