Demographics details for Central falls, RI vs Wilmington, OH
Population Overview
Compare main population characteristics in Central falls, RI vs Wilmington, OH.
Data | Central falls | Wilmington |
---|---|---|
Population | 22,490 | 12,656 |
Median Age | 31.5 years | 36.5 years |
Median Income | $43,092 | $48,407 |
Married Families | 29.0% | 31.0% |
Poverty Level | 20% | 12% |
Unemployment Rate | 5.3 | 5.2 |
Population Comparison: Central falls vs Wilmington
- In Central falls, the population is higher at 22,490, compared to 12,656 in Wilmington.
- The median age in Wilmington is higher at 36.5 years, compared to 31.5 years in Central falls.
- Wilmington has a higher median income of $48,407, compared to $43,092 in Central falls.
- In Wilmington, the percentage of married families is higher at 31.0%, compared to 29.0% in Central falls.
- Central falls has a higher poverty level at 20% compared to 12% in Wilmington.
- The unemployment rate in Central falls is higher at 5.3%, compared to 5.2% in Wilmington.
Demographics
Demographics Central falls vs Wilmington provide insight into the diversity of the communities to compare.
Demographic | Central falls | Wilmington |
---|---|---|
Black | 8 | 5 |
White | 4 | 85 |
Asian | Data is updating | 2 |
Hispanic | 69 | 3 |
Two or More Races | 18 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Central falls vs Wilmington
- A higher percentage of Black residents are in Central falls at 8% compared to 5% in Wilmington.
- The percentage of White residents is higher in Wilmington at 85% compared to 4% in Central falls.
- In Wilmington, the Asian population stands at 2%, greater than 0% in Central falls.
- The Hispanic community is larger in Central falls at 69% compared to 3% in Wilmington.
- More residents identify as two or more races in Central falls at 18% compared to 5% in Wilmington.
- A greater percentage of American Indian residents live in Central falls at 1% compared to 0% in Wilmington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Central falls | Wilmington |
---|---|---|
Mental Health Not Good | 19.8% | 19.1% |
Physical Health Not Good | 17.4% | 13.1% |
Depression | 26.7% | 25.1% |
Smoking | 22.8% | 22.9% |
Binge Drinking | 14.2% | 16.7% |
Obesity | 40.6% | 43.0% |
Disability Percentage | 15.0% | 19.0% |
Health Statistics Comparison: Central falls vs Wilmington
- More residents in Central falls report poor mental health at 19.8% compared to 19.1% in Wilmington.
- Depression is more prevalent in Central falls at 26.7% compared to 25.1% in Wilmington.
- Wilmington has a higher smoking rate at 22.9% compared to 22.8% in Central falls.
- More residents engage in binge drinking in Wilmington at 16.7% compared to 14.2% in Central falls.
- Wilmington has higher obesity rates at 43.0% compared to 40.6% in Central falls.
- There is a higher percentage of disabled individuals in Wilmington at 19.0% compared to 15.0% in Central falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Central falls | Wilmington |
---|---|---|
No Schooling | 4.7% (1,048) | 1.4% (171) |
High School Diploma | 15.1% (3,406) | 21.3% (2,702) |
Less than High School | 44.1% (9,911) | 11.0% (1,394) |
Bachelor's Degree and Higher | 5.6% (1,270) | 13.9% (1,753) |
Education Levels Comparison: Central falls vs Wilmington
- A higher percentage of residents in Central falls have no formal schooling at 4.7% compared to 1.4% in Wilmington.
- In Wilmington, the rate of residents with high school diplomas is higher at 21.3% compared to 15.1% in Central falls.
- More residents in Central falls have less than a high school education at 44.1% compared to 11.0% in Wilmington.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 13.9% compared to 5.6% in Central falls.
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.