Demographics details for Oklahoma city, OK vs Honolulu, HI

Population Overview

Compare main population characteristics in Oklahoma city, OK vs Honolulu, HI.

Data Oklahoma city Honolulu
Population 694,800 371,657
Median Age 34.9 years 38.0 years
Median Income $64,251 $85,500
Married Families 36.0% 13000.0%
Poverty Level 13% 9%
Unemployment Rate 3.5 2.7

Population Comparison: Oklahoma city vs Honolulu

  • In Oklahoma city, the population is higher at 694,800, compared to 371,657 in Honolulu.
  • The median age in Honolulu is higher at 38.0 years, compared to 34.9 years in Oklahoma city.
  • Honolulu has a higher median income of $85,500, compared to $64,251 in Oklahoma city.
  • In Honolulu, the percentage of married families is higher at 13000.0%, compared to 36.0% in Oklahoma city.
  • Oklahoma city has a higher poverty level at 13% compared to 9% in Honolulu.
  • The unemployment rate in Oklahoma city is higher at 3.5%, compared to 2.7% in Honolulu.

Demographics

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

Demographic Oklahoma city Honolulu
Black 13 2
White 48 38
Asian 4 56
Hispanic 20 4
Two or More Races 12 Data is updating
American Indian 3 Data is updating

Demographics Comparison: Oklahoma city vs Honolulu

  • A higher percentage of Black residents are in Oklahoma city at 13% compared to 2% in Honolulu.
  • Oklahoma city has a higher percentage of White residents at 48% compared to 38% in Honolulu.
  • In Honolulu, the Asian population stands at 56%, greater than 4% in Oklahoma city.
  • The Hispanic community is larger in Oklahoma city at 20% compared to 4% in Honolulu.
  • More residents identify as two or more races in Oklahoma city at 12% compared to 0% in Honolulu.
  • A greater percentage of American Indian residents live in Oklahoma city at 3% compared to 0% in Honolulu.

Health Statistics

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

Health Metric Oklahoma city Honolulu
Mental Health Not Good 18.1% Data is updating%
Physical Health Not Good 12.3% Data is updating%
Depression 24.8% Data is updating%
Smoking 18.2% Data is updating%
Binge Drinking 13.1% Data is updating%
Obesity 38.0% Data is updating%
Disability Percentage 12.0% Data is updating%

Health Statistics Comparison: Oklahoma city vs Honolulu

  • More residents in Oklahoma city report poor mental health at 18.1% compared to 0.0% in Honolulu.
  • Depression is more prevalent in Oklahoma city at 24.8% compared to 0.0% in Honolulu.
  • Smoking is more prevalent in Oklahoma city at 18.2% compared to 0.0% in Honolulu.
  • Binge drinking is more common in Oklahoma city at 13.1% compared to 0.0% in Honolulu.
  • Obesity rates are higher in Oklahoma city at 38.0% compared to 0.0% in Honolulu.
  • Disability percentages are higher in Oklahoma city at 12.0% compared to 0.0% in Honolulu.

Education Levels

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

Education Level Oklahoma city Honolulu
No Schooling 1.3% (9,023) 0.0% (Data is updating)
High School Diploma 13.0% (90,670) 0.0% (Data is updating)
Less than High School 14.0% (97,428) 0.0% (Data is updating)
Bachelor's Degree and Higher 21.3% (148,128) 0.0% (Data is updating)

Education Levels Comparison: Oklahoma city vs Honolulu

  • A higher percentage of residents in Oklahoma city have no formal schooling at 1.3% compared to 0.0% in Honolulu.
  • A higher percentage of residents in Oklahoma city hold a high school diploma at 13.0% compared to 0.0% in Honolulu.
  • More residents in Oklahoma city have less than a high school education at 14.0% compared to 0.0% in Honolulu.
  • A higher percentage of residents in Oklahoma city hold a bachelor's degree or higher at 21.3% compared to 0.0% in Honolulu.

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.