Demographics details for Phoenix, AZ vs Okeechobee, FL
Population Overview
Compare main population characteristics in Phoenix, AZ vs Okeechobee, FL.
| Data | Phoenix | Okeechobee |
|---|---|---|
| Population | 1,644,409 | 40,412 |
| Median Age | 34.4 years | 40.8 years |
| Median Income | $72,092 | $50,476 |
| Married Families | 33.0% | 38.0% |
| Poverty Level | 15% | 16% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Phoenix vs Okeechobee
- In Phoenix, the population is higher at 1,644,409, compared to 40,412 in Okeechobee.
- The median age in Okeechobee is higher at 40.8 years, compared to 34.4 years in Phoenix.
- Phoenix has a higher median income of $72,092 compared to $50,476 in Okeechobee.
- In Okeechobee, the percentage of married families is higher at 38.0%, compared to 33.0% in Phoenix.
- The poverty level is higher in Okeechobee at 16%, compared to 15% in Phoenix.
- Okeechobee has a higher unemployment rate at 3.7% compared to 3.5% in Phoenix.
Demographics
Demographics Phoenix vs Okeechobee provide insight into the diversity of the communities to compare.
| Demographic | Phoenix | Okeechobee |
|---|---|---|
| Black | 7 | 8 |
| White | 29 | 58 |
| Asian | 4 | 1 |
| Hispanic | 42 | 26 |
| Two or More Races | 16 | 7 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Phoenix vs Okeechobee
- In Okeechobee, the percentage of Black residents is higher at 8% compared to 7% in Phoenix.
- The percentage of White residents is higher in Okeechobee at 58% compared to 29% in Phoenix.
- The Asian population is larger in Phoenix at 4% compared to 1% in Okeechobee.
- The Hispanic community is larger in Phoenix at 42% compared to 26% in Okeechobee.
- More residents identify as two or more races in Phoenix at 16% compared to 7% in Okeechobee.
- A greater percentage of American Indian residents live in Phoenix at 2% compared to 0% in Okeechobee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Phoenix | Okeechobee |
|---|---|---|
| Mental Health Not Good | 17.7% | 17.3% |
| Physical Health Not Good | 11.9% | 13.1% |
| Depression | 19.5% | 20.1% |
| Smoking | 16.0% | 23.7% |
| Binge Drinking | 16.9% | 15.4% |
| Obesity | 32.6% | 33.9% |
| Disability Percentage | 10.0% | 15.0% |
Health Statistics Comparison: Phoenix vs Okeechobee
- More residents in Phoenix report poor mental health at 17.7% compared to 17.3% in Okeechobee.
- Higher depression rates are seen in Okeechobee at 20.1% versus 19.5% in Phoenix.
- Okeechobee has a higher smoking rate at 23.7% compared to 16.0% in Phoenix.
- Binge drinking is more common in Phoenix at 16.9% compared to 15.4% in Okeechobee.
- Okeechobee has higher obesity rates at 33.9% compared to 32.6% in Phoenix.
- There is a higher percentage of disabled individuals in Okeechobee at 15.0% compared to 10.0% in Phoenix.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Phoenix | Okeechobee |
|---|---|---|
| No Schooling | 1.6% (26,412) | 1.9% (751) |
| High School Diploma | 12.2% (201,372) | 18.6% (7,520) |
| Less than High School | 19.5% (321,046) | 26.7% (10,783) |
| Bachelor's Degree and Higher | 19.9% (327,861) | 11.8% (4,773) |
Education Levels Comparison: Phoenix vs Okeechobee
- In Okeechobee, a larger percentage of residents lack formal schooling at 1.9% compared to 1.6% in Phoenix.
- In Okeechobee, the rate of residents with high school diplomas is higher at 18.6% compared to 12.2% in Phoenix.
- The percentage of residents with less than a high school education is higher in Okeechobee at 26.7%, compared to 19.5% in Phoenix.
- A higher percentage of residents in Phoenix hold a bachelor's degree or higher at 19.9% compared to 11.8% in Okeechobee.
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.