Demographics details for Orlando, FL vs Oklahoma city, OK
Population Overview
Compare main population characteristics in Orlando, FL vs Oklahoma city, OK.
Data | Orlando | Oklahoma city |
---|---|---|
Population | 316,081 | 694,800 |
Median Age | 34.7 years | 34.9 years |
Median Income | $66,292 | $64,251 |
Married Families | 31.0% | 36.0% |
Poverty Level | 12% | 13% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Orlando vs Oklahoma city
- The population in Oklahoma city is higher at 694,800, compared to 316,081 in Orlando.
- The median age in Oklahoma city is higher at 34.9 years, compared to 34.7 years in Orlando.
- Orlando has a higher median income of $66,292 compared to $64,251 in Oklahoma city.
- In Oklahoma city, the percentage of married families is higher at 36.0%, compared to 31.0% in Orlando.
- The poverty level is higher in Oklahoma city at 13%, compared to 12% in Orlando.
- Oklahoma city has a higher unemployment rate at 3.5% compared to 3.2% in Orlando.
Demographics
Demographics Orlando vs Oklahoma city provide insight into the diversity of the communities to compare.
Demographic | Orlando | Oklahoma city |
---|---|---|
Black | 23 | 13 |
White | 23 | 48 |
Asian | 4 | 4 |
Hispanic | 34 | 20 |
Two or More Races | 16 | 12 |
American Indian | Data is updating | 3 |
Demographics Comparison: Orlando vs Oklahoma city
- A higher percentage of Black residents are in Orlando at 23% compared to 13% in Oklahoma city.
- The percentage of White residents is higher in Oklahoma city at 48% compared to 23% in Orlando.
- Both Orlando and Oklahoma city have the same percentage of Asian residents at 4%.
- The Hispanic community is larger in Orlando at 34% compared to 20% in Oklahoma city.
- More residents identify as two or more races in Orlando at 16% compared to 12% in Oklahoma city.
- In Oklahoma city, the percentage of American Indian residents is higher at 3%, compared to 0% in Orlando.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Orlando | Oklahoma city |
---|---|---|
Mental Health Not Good | 15.5% | 18.1% |
Physical Health Not Good | 11.5% | 12.3% |
Depression | 17.2% | 24.8% |
Smoking | 17.7% | 18.2% |
Binge Drinking | 14.1% | 13.1% |
Obesity | 31.1% | 38.0% |
Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Orlando vs Oklahoma city
- In Oklahoma city, a higher percentage report poor mental health at 18.1% compared to 15.5% in Orlando.
- Higher depression rates are seen in Oklahoma city at 24.8% versus 17.2% in Orlando.
- Oklahoma city has a higher smoking rate at 18.2% compared to 17.7% in Orlando.
- Binge drinking is more common in Orlando at 14.1% compared to 13.1% in Oklahoma city.
- Oklahoma city has higher obesity rates at 38.0% compared to 31.1% in Orlando.
- There is a higher percentage of disabled individuals in Oklahoma city at 12.0% compared to 9.0% in Orlando.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Orlando | Oklahoma city |
---|---|---|
No Schooling | 1.1% (3,445) | 1.3% (9,023) |
High School Diploma | 13.7% (43,377) | 13.0% (90,670) |
Less than High School | 9.2% (29,000) | 14.0% (97,428) |
Bachelor's Degree and Higher | 28.8% (90,981) | 21.3% (148,128) |
Education Levels Comparison: Orlando vs Oklahoma city
- In Oklahoma city, a larger percentage of residents lack formal schooling at 1.3% compared to 1.1% in Orlando.
- A higher percentage of residents in Orlando hold a high school diploma at 13.7% compared to 13.0% in Oklahoma city.
- The percentage of residents with less than a high school education is higher in Oklahoma city at 14.0%, compared to 9.2% in Orlando.
- A higher percentage of residents in Orlando hold a bachelor's degree or higher at 28.8% compared to 21.3% in Oklahoma city.
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.