Demographics details for Tuscumbia, MO vs Molino, FL
Population Overview
Compare main population characteristics in Tuscumbia, MO vs Molino, FL.
Data | Tuscumbia | Molino |
---|---|---|
Population | 190 | 1,253 |
Median Age | 40.4 years | 35.9 years |
Median Income | $44,375 | $87,614 |
Married Families | 21.0% | 50.0% |
Poverty Level | 10% | 13% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Tuscumbia vs Molino
- The population in Molino is higher at 1,253, compared to 190 in Tuscumbia.
- Residents in Tuscumbia have a higher median age of 40.4 years compared to 35.9 years in Molino.
- Molino has a higher median income of $87,614, compared to $44,375 in Tuscumbia.
- In Molino, the percentage of married families is higher at 50.0%, compared to 21.0% in Tuscumbia.
- The poverty level is higher in Molino at 13%, compared to 10% in Tuscumbia.
- The unemployment rate is the same in both Tuscumbia and Molino at 3.5%.
Demographics
Demographics Tuscumbia vs Molino provide insight into the diversity of the communities to compare.
Demographic | Tuscumbia | Molino |
---|---|---|
Black | 17 | 13 |
White | 78 | 54 |
Asian | 2 | Data is updating |
Hispanic | 3 | 12 |
Two or More Races | Data is updating | 20 |
American Indian | Data is updating | 1 |
Demographics Comparison: Tuscumbia vs Molino
- A higher percentage of Black residents are in Tuscumbia at 17% compared to 13% in Molino.
- Tuscumbia has a higher percentage of White residents at 78% compared to 54% in Molino.
- The Asian population is larger in Tuscumbia at 2% compared to 0% in Molino.
- Molino has a higher percentage of Hispanic residents at 12%, compared to 3% in Tuscumbia.
- The percentage of residents identifying as two or more races is higher in Molino at 20%, compared to 0% in Tuscumbia.
- In Molino, the percentage of American Indian residents is higher at 1%, compared to 0% in Tuscumbia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Tuscumbia | Molino |
---|---|---|
Mental Health Not Good | 17.2% | 17.1% |
Physical Health Not Good | 13.1% | 11.5% |
Depression | 22.2% | 22.4% |
Smoking | 22.5% | 21.3% |
Binge Drinking | 19.5% | 15.8% |
Obesity | 40.0% | 34.8% |
Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Tuscumbia vs Molino
- More residents in Tuscumbia report poor mental health at 17.2% compared to 17.1% in Molino.
- Higher depression rates are seen in Molino at 22.4% versus 22.2% in Tuscumbia.
- Smoking is more prevalent in Tuscumbia at 22.5% compared to 21.3% in Molino.
- Binge drinking is more common in Tuscumbia at 19.5% compared to 15.8% in Molino.
- Obesity rates are higher in Tuscumbia at 40.0% compared to 34.8% in Molino.
- There is a higher percentage of disabled individuals in Molino at 12.0% compared to 9.0% in Tuscumbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Tuscumbia | Molino |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 17.4% (33) | 21.4% (268) |
Less than High School | 18.9% (36) | 6.7% (84) |
Bachelor's Degree and Higher | 4.7% (9) | 11.7% (147) |
Education Levels Comparison: Tuscumbia vs Molino
- The percentage of residents with no formal schooling is the same in both Tuscumbia and Molino at 0.0%.
- In Molino, the rate of residents with high school diplomas is higher at 21.4% compared to 17.4% in Tuscumbia.
- More residents in Tuscumbia have less than a high school education at 18.9% compared to 6.7% in Molino.
- In Molino, a larger share of residents have a bachelor's degree or higher at 11.7% compared to 4.7% in Tuscumbia.
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.