Demographics details for Molino, FL vs Central city, KY
Population Overview
Compare main population characteristics in Molino, FL vs Central city, KY.
Data | Molino | Central city |
---|---|---|
Population | 1,253 | 5,810 |
Median Age | 35.9 years | 33.5 years |
Median Income | $87,614 | $52,184 |
Married Families | 50.0% | 38.0% |
Poverty Level | 13% | 16% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Molino vs Central city
- The population in Central city is higher at 5,810, compared to 1,253 in Molino.
- Residents in Molino have a higher median age of 35.9 years compared to 33.5 years in Central city.
- Molino has a higher median income of $87,614 compared to $52,184 in Central city.
- A higher percentage of married families is found in Molino at 50.0% compared to 38.0% in Central city.
- The poverty level is higher in Central city at 16%, compared to 13% in Molino.
- The unemployment rate is the same in both Molino and Central city at 3.5%.
Demographics
Demographics Molino vs Central city provide insight into the diversity of the communities to compare.
Demographic | Molino | Central city |
---|---|---|
Black | 13 | 3 |
White | 54 | 88 |
Asian | Data is updating | Data is updating |
Hispanic | 12 | 2 |
Two or More Races | 20 | 6 |
American Indian | 1 | 1 |
Demographics Comparison: Molino vs Central city
- A higher percentage of Black residents are in Molino at 13% compared to 3% in Central city.
- The percentage of White residents is higher in Central city at 88% compared to 54% in Molino.
- Both Molino and Central city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Molino at 12% compared to 2% in Central city.
- More residents identify as two or more races in Molino at 20% compared to 6% in Central city.
- The percentage of American Indian residents is the same in both Molino and Central city at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Molino | Central city |
---|---|---|
Mental Health Not Good | 17.1% | 19.3% |
Physical Health Not Good | 11.5% | 15.5% |
Depression | 22.4% | 26.8% |
Smoking | 21.3% | 24.8% |
Binge Drinking | 15.8% | 14.8% |
Obesity | 34.8% | 41.9% |
Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Molino vs Central city
- In Central city, a higher percentage report poor mental health at 19.3% compared to 17.1% in Molino.
- Higher depression rates are seen in Central city at 26.8% versus 22.4% in Molino.
- Central city has a higher smoking rate at 24.8% compared to 21.3% in Molino.
- Binge drinking is more common in Molino at 15.8% compared to 14.8% in Central city.
- Central city has higher obesity rates at 41.9% compared to 34.8% in Molino.
- There is a higher percentage of disabled individuals in Central city at 15.0% compared to 12.0% in Molino.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Molino | Central city |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (65) |
High School Diploma | 21.4% (268) | 15.4% (897) |
Less than High School | 6.7% (84) | 15.6% (905) |
Bachelor's Degree and Higher | 11.7% (147) | 8.3% (480) |
Education Levels Comparison: Molino vs Central city
- In Central city, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Molino.
- A higher percentage of residents in Molino hold a high school diploma at 21.4% compared to 15.4% in Central city.
- The percentage of residents with less than a high school education is higher in Central city at 15.6%, compared to 6.7% in Molino.
- A higher percentage of residents in Molino hold a bachelor's degree or higher at 11.7% compared to 8.3% in Central 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.