Demographics details for Wilmington, OH vs Fall river, MA
Population Overview
Compare main population characteristics in Wilmington, OH vs Fall river, MA.
Data | Wilmington | Fall river |
---|---|---|
Population | 12,656 | 93,682 |
Median Age | 36.5 years | 39.2 years |
Median Income | $48,407 | $52,734 |
Married Families | 31.0% | 32.0% |
Poverty Level | 12% | 16% |
Unemployment Rate | 5.2 | 5.6 |
Population Comparison: Wilmington vs Fall river
- The population in Fall river is higher at 93,682, compared to 12,656 in Wilmington.
- The median age in Fall river is higher at 39.2 years, compared to 36.5 years in Wilmington.
- Fall river has a higher median income of $52,734, compared to $48,407 in Wilmington.
- In Fall river, the percentage of married families is higher at 32.0%, compared to 31.0% in Wilmington.
- The poverty level is higher in Fall river at 16%, compared to 12% in Wilmington.
- Fall river has a higher unemployment rate at 5.6% compared to 5.2% in Wilmington.
Demographics
Demographics Wilmington vs Fall river provide insight into the diversity of the communities to compare.
Demographic | Wilmington | Fall river |
---|---|---|
Black | 5 | 6 |
White | 85 | 68 |
Asian | 2 | 3 |
Hispanic | 3 | 12 |
Two or More Races | 5 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wilmington vs Fall river
- In Fall river, the percentage of Black residents is higher at 6% compared to 5% in Wilmington.
- Wilmington has a higher percentage of White residents at 85% compared to 68% in Fall river.
- In Fall river, the Asian population stands at 3%, greater than 2% in Wilmington.
- Fall river has a higher percentage of Hispanic residents at 12%, compared to 3% in Wilmington.
- The percentage of residents identifying as two or more races is higher in Fall river at 11%, compared to 5% in Wilmington.
- The percentage of American Indian residents is the same in both Wilmington and Fall river at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wilmington | Fall river |
---|---|---|
Mental Health Not Good | 19.1% | 19.7% |
Physical Health Not Good | 13.1% | 13.3% |
Depression | 25.1% | 25.0% |
Smoking | 22.9% | 23.0% |
Binge Drinking | 16.7% | 16.7% |
Obesity | 43.0% | 32.8% |
Disability Percentage | 19.0% | 20.0% |
Health Statistics Comparison: Wilmington vs Fall river
- In Fall river, a higher percentage report poor mental health at 19.7% compared to 19.1% in Wilmington.
- Depression is more prevalent in Wilmington at 25.1% compared to 25.0% in Fall river.
- Fall river has a higher smoking rate at 23.0% compared to 22.9% in Wilmington.
- Binge drinking rates are similar in both Wilmington and Fall river at 16.7%.
- Obesity rates are higher in Wilmington at 43.0% compared to 32.8% in Fall river.
- There is a higher percentage of disabled individuals in Fall river at 20.0% compared to 19.0% in Wilmington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wilmington | Fall river |
---|---|---|
No Schooling | 1.4% (171) | 2.5% (2,365) |
High School Diploma | 21.3% (2,702) | 19.4% (18,187) |
Less than High School | 11.0% (1,394) | 32.4% (30,324) |
Bachelor's Degree and Higher | 13.9% (1,753) | 11.3% (10,601) |
Education Levels Comparison: Wilmington vs Fall river
- In Fall river, a larger percentage of residents lack formal schooling at 2.5% compared to 1.4% in Wilmington.
- A higher percentage of residents in Wilmington hold a high school diploma at 21.3% compared to 19.4% in Fall river.
- The percentage of residents with less than a high school education is higher in Fall river at 32.4%, compared to 11.0% in Wilmington.
- A higher percentage of residents in Wilmington hold a bachelor's degree or higher at 13.9% compared to 11.3% in Fall river.
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.