Demographics details for Oklahoma city, OK vs Spanish fork, UT

Population Overview

Compare main population characteristics in Oklahoma city, OK vs Spanish fork, UT.

Data Oklahoma city Spanish fork
Population 694,800 44,102
Median Age 34.9 years 27.4 years
Median Income $64,251 $93,989
Married Families 36.0% 43.0%
Poverty Level 13% 6%
Unemployment Rate 3.5 3.8

Population Comparison: Oklahoma city vs Spanish fork

  • In Oklahoma city, the population is higher at 694,800, compared to 44,102 in Spanish fork.
  • Residents in Oklahoma city have a higher median age of 34.9 years compared to 27.4 years in Spanish fork.
  • Spanish fork has a higher median income of $93,989, compared to $64,251 in Oklahoma city.
  • In Spanish fork, the percentage of married families is higher at 43.0%, compared to 36.0% in Oklahoma city.
  • Oklahoma city has a higher poverty level at 13% compared to 6% in Spanish fork.
  • Spanish fork has a higher unemployment rate at 3.8% compared to 3.5% in Oklahoma city.

Demographics

Demographics Oklahoma city vs Spanish fork provide insight into the diversity of the communities to compare.

Demographic Oklahoma city Spanish fork
Black 13 1
White 48 80
Asian 4 Data is updating
Hispanic 20 12
Two or More Races 12 7
American Indian 3 Data is updating

Demographics Comparison: Oklahoma city vs Spanish fork

  • A higher percentage of Black residents are in Oklahoma city at 13% compared to 1% in Spanish fork.
  • The percentage of White residents is higher in Spanish fork at 80% compared to 48% in Oklahoma city.
  • The Asian population is larger in Oklahoma city at 4% compared to 0% in Spanish fork.
  • The Hispanic community is larger in Oklahoma city at 20% compared to 12% in Spanish fork.
  • More residents identify as two or more races in Oklahoma city at 12% compared to 7% in Spanish fork.
  • A greater percentage of American Indian residents live in Oklahoma city at 3% compared to 0% in Spanish fork.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Oklahoma city Spanish fork
Mental Health Not Good 18.1% 15.0%
Physical Health Not Good 12.3% 10.8%
Depression 24.8% 23.8%
Smoking 18.2% 7.7%
Binge Drinking 13.1% 8.3%
Obesity 38.0% 31.0%
Disability Percentage 12.0% 8.0%

Health Statistics Comparison: Oklahoma city vs Spanish fork

  • More residents in Oklahoma city report poor mental health at 18.1% compared to 15.0% in Spanish fork.
  • Depression is more prevalent in Oklahoma city at 24.8% compared to 23.8% in Spanish fork.
  • Smoking is more prevalent in Oklahoma city at 18.2% compared to 7.7% in Spanish fork.
  • Binge drinking is more common in Oklahoma city at 13.1% compared to 8.3% in Spanish fork.
  • Obesity rates are higher in Oklahoma city at 38.0% compared to 31.0% in Spanish fork.
  • Disability percentages are higher in Oklahoma city at 12.0% compared to 8.0% in Spanish fork.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Oklahoma city Spanish fork
No Schooling 1.3% (9,023) 0.4% (175)
High School Diploma 13.0% (90,670) 9.1% (4,010)
Less than High School 14.0% (97,428) 5.9% (2,583)
Bachelor's Degree and Higher 21.3% (148,128) 19.4% (8,546)

Education Levels Comparison: Oklahoma city vs Spanish fork

  • A higher percentage of residents in Oklahoma city have no formal schooling at 1.3% compared to 0.4% in Spanish fork.
  • A higher percentage of residents in Oklahoma city hold a high school diploma at 13.0% compared to 9.1% in Spanish fork.
  • More residents in Oklahoma city have less than a high school education at 14.0% compared to 5.9% in Spanish fork.
  • A higher percentage of residents in Oklahoma city hold a bachelor's degree or higher at 21.3% compared to 19.4% in Spanish fork.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.