Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Provo, UT

Q: What are the Top 3 Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Provo, UT?

Top 3 Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Provo, UT are: #1 84601 3.9% . #2 84604 3.2% . #3 84606 2.5% .

Q: What zip code has the Highest Percentage of Population Employed in Finance & Insurance in Provo, UT?

84601 has the Highest Percentage of Population Employed in Finance & Insurance in Provo, UT with 3.9%.

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Finance & Insurance

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 35+Lowest Illegitimacy | All Women Lowest Illegitimacy | Women 35+

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 Arab Argentinean Armenian Australian Austrian Basque Bhutanese Blackfeet Bolivian Brazilian British Burmese Canadian Central American Central American Indian Cherokee Chilean Choctaw Colombian Croatian Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European Ecuadorian English European Fijian Filipino Finnish French French American Indian French Canadian German Ghanaian Greek Guatemalan Haitian Honduran Hungarian Icelander Indian (Asian)Iranian Irish Iroquois Israeli Italian Jamaican Japanese Kenyan Korean Laotian Latvian Lebanese Lithuanian Malaysian Mexican Mexican American Indian Native Hawaiian Navajo Nicaraguan Nigerian Northern European Norwegian Okinawan Pakistani Palestinian Peruvian Polish Portuguese Puerto Rican Romanian Russian Salvadoran Samoan Scandinavian Scotch-Irish Scottish Sioux South American South American Indian Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Thai Tongan Turkish Ukrainian Uruguayan Venezuelan Welsh

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Argentina Asia Australia Bolivia Brazil Cambodia Canada Caribbean Central America Chile China Colombia Congo Dominican Republic Eastern Africa Eastern Asia Eastern Europe Ecuador El Salvador England Europe Germany Ghana Guatemala Honduras Hong Kong India Indonesia Iran Israel Italy Japan Korea Laos Latin America Mexico Micronesia Middle Africa Nicaragua Nigeria Northern Europe Oceania Peru Philippines Russia Scotland Singapore South Africa South America South Central Asia South Eastern Asia Southern Europe Sri Lanka Taiwan Thailand Turkey Uruguay 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 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 ManagementFinance & InsuranceHealth 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 Households without a Cars Households with 1 or more Cars Households with 2 or more Cars Households with 3 or more Cars

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Map of Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Provo

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4.0%

Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Provo Map

Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Provo, UT

	Zip Code	% Employed	vs State	vs National
1.	84601	3.9%	5.2%(-1.25)#104	4.8%(-0.830)#11,828
2.	84604	3.2%	5.2%(-1.95)#125	4.8%(-1.53)#14,755
3.	84606	2.5%	5.2%(-2.71)#145	4.8%(-2.29)#18,293
4.	84602	0.74%	5.2%(-4.44)#199	4.8%(-4.03)#24,994

Common Questions

What are the Top 3 Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Provo, UT?

Top 3 Zip Codes with the Highest Percentage of Population Employed in Finance & Insurance in Provo, UT are:

84601

3.9%

84604

3.2%

84606

2.5%

What zip code has the Highest Percentage of Population Employed in Finance & Insurance in Provo, UT?

84601 has the Highest Percentage of Population Employed in Finance & Insurance in Provo, UT with 3.9%.

What is the Percentage of Population Employed in Finance & Insurance in Provo, UT?

Percentage of Population Employed in Finance & Insurance in Provo is 3.1%.

What is the Percentage of Population Employed in Finance & Insurance in Utah?

Percentage of Population Employed in Finance & Insurance in Utah is 5.2%.

What is the Percentage of Population Employed in Finance & Insurance in the United States?

Percentage of Population Employed in Finance & Insurance in the United States is 4.8%.