Demographics details for Lake butler, FL vs Protem, MO
Population Overview
Compare main population characteristics in Lake butler, FL vs Protem, MO.
Data | Lake butler | Protem |
---|---|---|
Population | 17,765 | 408 |
Median Age | 43.8 years | 42.0 years |
Median Income | $150,316 | $40,000 |
Married Families | 55.0% | 50.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 4.5 | 5.0 |
Population Comparison: Lake butler vs Protem
- In Lake butler, the population is higher at 17,765, compared to 408 in Protem.
- Residents in Lake butler have a higher median age of 43.8 years compared to 42.0 years in Protem.
- Lake butler has a higher median income of $150,316 compared to $40,000 in Protem.
- A higher percentage of married families is found in Lake butler at 55.0% compared to 50.0% in Protem.
- The poverty level is higher in Protem at 12%, compared to 10% in Lake butler.
- Protem has a higher unemployment rate at 5.0% compared to 4.5% in Lake butler.
Demographics
Demographics Lake butler vs Protem provide insight into the diversity of the communities to compare.
Demographic | Lake butler | Protem |
---|---|---|
Black | 6 | 3 |
White | 53 | 95 |
Asian | 16 | Data is updating |
Hispanic | 12 | 2 |
Two or More Races | 13 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Lake butler vs Protem
- A higher percentage of Black residents are in Lake butler at 6% compared to 3% in Protem.
- The percentage of White residents is higher in Protem at 95% compared to 53% in Lake butler.
- The Asian population is larger in Lake butler at 16% compared to 0% in Protem.
- The Hispanic community is larger in Lake butler at 12% compared to 2% in Protem.
- More residents identify as two or more races in Lake butler at 13% compared to 0% in Protem.
- The percentage of American Indian residents is the same in both Lake butler and Protem at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lake butler | Protem |
---|---|---|
Mental Health Not Good | 13.0% | Data is updating% |
Physical Health Not Good | 7.3% | Data is updating% |
Depression | 16.3% | Data is updating% |
Smoking | 11.4% | Data is updating% |
Binge Drinking | 15.8% | Data is updating% |
Obesity | 23.4% | Data is updating% |
Disability Percentage | 7.0% | Data is updating% |
Health Statistics Comparison: Lake butler vs Protem
- More residents in Lake butler report poor mental health at 13.0% compared to 0.0% in Protem.
- Depression is more prevalent in Lake butler at 16.3% compared to 0.0% in Protem.
- Smoking is more prevalent in Lake butler at 11.4% compared to 0.0% in Protem.
- Binge drinking is more common in Lake butler at 15.8% compared to 0.0% in Protem.
- Obesity rates are higher in Lake butler at 23.4% compared to 0.0% in Protem.
- Disability percentages are higher in Lake butler at 7.0% compared to 0.0% in Protem.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lake butler | Protem |
---|---|---|
No Schooling | 0.2% (37) | 0.0% (Data is updating) |
High School Diploma | 5.1% (899) | 0.0% (Data is updating) |
Less than High School | 2.9% (520) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 41.2% (7,325) | 0.0% (Data is updating) |
Education Levels Comparison: Lake butler vs Protem
- A higher percentage of residents in Lake butler have no formal schooling at 0.2% compared to 0.0% in Protem.
- A higher percentage of residents in Lake butler hold a high school diploma at 5.1% compared to 0.0% in Protem.
- More residents in Lake butler have less than a high school education at 2.9% compared to 0.0% in Protem.
- A higher percentage of residents in Lake butler hold a bachelor's degree or higher at 41.2% compared to 0.0% in Protem.
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.