Demographics details for Leesburg, FL vs Wakita, OK
Population Overview
Compare main population characteristics in Leesburg, FL vs Wakita, OK.
Data | Leesburg | Wakita |
---|---|---|
Population | 29,178 | 307 |
Median Age | 43.6 years | 35.5 years |
Median Income | $43,733 | $34,375 |
Married Families | 35.0% | 32.0% |
Poverty Level | 11% | 15% |
Unemployment Rate | 4.4 | 3.5 |
Population Comparison: Leesburg vs Wakita
- In Leesburg, the population is higher at 29,178, compared to 307 in Wakita.
- Residents in Leesburg have a higher median age of 43.6 years compared to 35.5 years in Wakita.
- Leesburg has a higher median income of $43,733 compared to $34,375 in Wakita.
- A higher percentage of married families is found in Leesburg at 35.0% compared to 32.0% in Wakita.
- The poverty level is higher in Wakita at 15%, compared to 11% in Leesburg.
- The unemployment rate in Leesburg is higher at 4.4%, compared to 3.5% in Wakita.
Demographics
Demographics Leesburg vs Wakita provide insight into the diversity of the communities to compare.
Demographic | Leesburg | Wakita |
---|---|---|
Black | 19 | Data is updating |
White | 46 | 74 |
Asian | 1 | Data is updating |
Hispanic | 24 | 20 |
Two or More Races | 10 | 4 |
American Indian | Data is updating | 2 |
Demographics Comparison: Leesburg vs Wakita
- A higher percentage of Black residents are in Leesburg at 19% compared to 0% in Wakita.
- The percentage of White residents is higher in Wakita at 74% compared to 46% in Leesburg.
- The Asian population is larger in Leesburg at 1% compared to 0% in Wakita.
- The Hispanic community is larger in Leesburg at 24% compared to 20% in Wakita.
- More residents identify as two or more races in Leesburg at 10% compared to 4% in Wakita.
- In Wakita, the percentage of American Indian residents is higher at 2%, compared to 0% in Leesburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Leesburg | Wakita |
---|---|---|
Mental Health Not Good | 18.0% | 17.8% |
Physical Health Not Good | 13.0% | 11.4% |
Depression | 21.1% | 25.5% |
Smoking | 23.6% | 17.8% |
Binge Drinking | 14.3% | 15.8% |
Obesity | 39.8% | 39.1% |
Disability Percentage | 19.0% | 19.0% |
Health Statistics Comparison: Leesburg vs Wakita
- More residents in Leesburg report poor mental health at 18.0% compared to 17.8% in Wakita.
- Higher depression rates are seen in Wakita at 25.5% versus 21.1% in Leesburg.
- Smoking is more prevalent in Leesburg at 23.6% compared to 17.8% in Wakita.
- More residents engage in binge drinking in Wakita at 15.8% compared to 14.3% in Leesburg.
- Obesity rates are higher in Leesburg at 39.8% compared to 39.1% in Wakita.
- Disability percentages are the same in both Leesburg and Wakita at 19.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Leesburg | Wakita |
---|---|---|
No Schooling | 0.7% (209) | 0.0% (Data is updating) |
High School Diploma | 21.5% (6,277) | 25.1% (77) |
Less than High School | 11.4% (3,340) | 10.4% (32) |
Bachelor's Degree and Higher | 11.7% (3,428) | 11.4% (35) |
Education Levels Comparison: Leesburg vs Wakita
- A higher percentage of residents in Leesburg have no formal schooling at 0.7% compared to 0.0% in Wakita.
- In Wakita, the rate of residents with high school diplomas is higher at 25.1% compared to 21.5% in Leesburg.
- More residents in Leesburg have less than a high school education at 11.4% compared to 10.4% in Wakita.
- A higher percentage of residents in Leesburg hold a bachelor's degree or higher at 11.7% compared to 11.4% in Wakita.
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.