Demographics details for Molino, FL vs Sterling, IL
Population Overview
Compare main population characteristics in Molino, FL vs Sterling, IL.
Data | Molino | Sterling |
---|---|---|
Population | 1,253 | 14,566 |
Median Age | 35.9 years | 43.0 years |
Median Income | $87,614 | $49,007 |
Married Families | 50.0% | 32.0% |
Poverty Level | 13% | 12% |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Molino vs Sterling
- The population in Sterling is higher at 14,566, compared to 1,253 in Molino.
- The median age in Sterling is higher at 43.0 years, compared to 35.9 years in Molino.
- Molino has a higher median income of $87,614 compared to $49,007 in Sterling.
- A higher percentage of married families is found in Molino at 50.0% compared to 32.0% in Sterling.
- Molino has a higher poverty level at 13% compared to 12% in Sterling.
- Sterling has a higher unemployment rate at 4.2% compared to 3.5% in Molino.
Demographics
Demographics Molino vs Sterling provide insight into the diversity of the communities to compare.
Demographic | Molino | Sterling |
---|---|---|
Black | 13 | 2 |
White | 54 | 56 |
Asian | Data is updating | 2 |
Hispanic | 12 | 27 |
Two or More Races | 20 | 12 |
American Indian | 1 | 1 |
Demographics Comparison: Molino vs Sterling
- A higher percentage of Black residents are in Molino at 13% compared to 2% in Sterling.
- The percentage of White residents is higher in Sterling at 56% compared to 54% in Molino.
- In Sterling, the Asian population stands at 2%, greater than 0% in Molino.
- Sterling has a higher percentage of Hispanic residents at 27%, compared to 12% in Molino.
- More residents identify as two or more races in Molino at 20% compared to 12% in Sterling.
- The percentage of American Indian residents is the same in both Molino and Sterling at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Molino | Sterling |
---|---|---|
Mental Health Not Good | 17.1% | 16.7% |
Physical Health Not Good | 11.5% | 12.2% |
Depression | 22.4% | 22.2% |
Smoking | 21.3% | 18.6% |
Binge Drinking | 15.8% | 17.4% |
Obesity | 34.8% | 39.5% |
Disability Percentage | 12.0% | 17.0% |
Health Statistics Comparison: Molino vs Sterling
- More residents in Molino report poor mental health at 17.1% compared to 16.7% in Sterling.
- Depression is more prevalent in Molino at 22.4% compared to 22.2% in Sterling.
- Smoking is more prevalent in Molino at 21.3% compared to 18.6% in Sterling.
- More residents engage in binge drinking in Sterling at 17.4% compared to 15.8% in Molino.
- Sterling has higher obesity rates at 39.5% compared to 34.8% in Molino.
- There is a higher percentage of disabled individuals in Sterling at 17.0% 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 | Sterling |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (164) |
High School Diploma | 21.4% (268) | 24.1% (3,511) |
Less than High School | 6.7% (84) | 13.8% (2,012) |
Bachelor's Degree and Higher | 11.7% (147) | 11.8% (1,713) |
Education Levels Comparison: Molino vs Sterling
- In Sterling, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Molino.
- In Sterling, the rate of residents with high school diplomas is higher at 24.1% compared to 21.4% in Molino.
- The percentage of residents with less than a high school education is higher in Sterling at 13.8%, compared to 6.7% in Molino.
- In Sterling, a larger share of residents have a bachelor's degree or higher at 11.8% compared to 11.7% in Molino.
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.