Zip Codes with the Highest Percentage of Immigrants from India in Victoria, TX

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India

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 Lowest Illegitimacy | All Women

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 Austrian Belgian Bhutanese Blackfeet British Burmese Canadian Central American Cherokee Chickasaw Choctaw Colombian Comanche Cuban Czech Czechoslovakian Danish Dominican Dutch Eastern European Ecuadorian English European Filipino French French Canadian German Greek Guatemalan Honduran Hungarian Indian (Asian)Irish Italian Jamaican Korean Lebanese Mexican Nigerian Northern European Norwegian Polish Portuguese Puerto Rican Russian Salvadoran Scandinavian Scotch-Irish Scottish Sioux Slovak South American Spaniard Spanish Sri Lankan Subsaharan African Swedish Swiss Syrian Thai Ukrainian Welsh West Indian

Ancestry (Percentage)

Immigrant Origin (Total)

Africa Asia Canada Caribbean Central America China Colombia Eastern Asia Eastern Europe Ecuador El Salvador England Europe France Germany Honduras India Italy Korea Latin America Mexico Nigeria Northern Europe Philippines South America South Central Asia South Eastern Asia Southern Europe Taiwan Ukraine Vietnam Western Africa Western Asia Western Europe

Immigrant Origin (Percentage)

Africa Asia Canada Caribbean Central America China Colombia Eastern Asia Eastern Europe Ecuador El Salvador England Europe France Germany HondurasIndiaItaly Korea Latin America Mexico Nigeria Northern Europe Philippines South America South Central Asia South Eastern Asia Southern Europe Taiwan Ukraine Vietnam Western Africa Western Asia Western Europe

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 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

Victoria

United States

States

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Texas Cities

Abilene Allen Amarillo Arlington Austin Baytown Beaumont Bedford Boerne Brownsville Bryan Carrollton College Station Conroe Corpus Christi Cypress Dallas Denison Denton Duncanville Edinburg El Paso Euless Flower Mound Fort Worth Frisco Galveston Garland Georgetown Grand Prairie Harlingen Houston Humble Hurst Irving Katy Keller Killeen Kingwood Laredo Lewisville Longview Lubbock Magnolia Mcallen Mckinney Mesquite Midland Mission Missouri City Montgomery Nacogdoches New Braunfels North Richland Hills Odessa Pasadena Pearland Plano Port Arthur Richardson Richmond Rockwall Round Rock Rowlett San Angelo San Antonio Sherman Spring Sugar Land Temple Texarkana Tomball TylerVictoriaWaco Wichita Falls

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Map of Zip Codes with the Highest Percentage of Immigrants from India in Victoria

0.00%

0.40%

Zip Codes with the Highest Percentage of Immigrants from India in Victoria Map

Zip Codes with the Highest Percentage of Immigrants from India in Victoria, TX

	Zip Code	India	vs State	vs National
1.	77904	0.31%	1.05%(-0.742)#-1	0.83%(-0.520)#0
2.	77901	0.0025%	1.05%(-1.05)#0	0.83%(-0.823)#1

Common Questions

What are the Top Zip Codes with the Highest Percentage of Immigrants from India in Victoria, TX?

Top Zip Codes with the Highest Percentage of Immigrants from India in Victoria, TX are:

77904

0.31%

77901

0.0025%

77905

0.00%

What zip code has the Highest Percentage of Immigrants from India in Victoria, TX?

77904 has the Highest Percentage of Immigrants from India in Victoria, TX with 0.31%.

What is the Percentage of Immigrants from India in Victoria, TX?

Percentage of Immigrants from India in Victoria is 0.14%.

What is the Percentage of Immigrants from India in Texas?

Percentage of Immigrants from India in Texas is 1.05%.

What is the Percentage of Immigrants from India in the United States?

Percentage of Immigrants from India in the United States is 0.83%.