Demographics details for Mansfield, OH vs Converse, IN
Population Overview
Compare main population characteristics in Mansfield, OH vs Converse, IN.
| Data | Mansfield | Converse |
|---|---|---|
| Population | 47,865 | 1,139 |
| Median Age | 38.9 years | 35.3 years |
| Median Income | $40,996 | $54,479 |
| Married Families | 25.0% | 34.0% |
| Poverty Level | 18% | 8% |
| Unemployment Rate | 6.8 | 3.2 |
Population Comparison: Mansfield vs Converse
- In Mansfield, the population is higher at 47,865, compared to 1,139 in Converse.
- Residents in Mansfield have a higher median age of 38.9 years compared to 35.3 years in Converse.
- Converse has a higher median income of $54,479, compared to $40,996 in Mansfield.
- In Converse, the percentage of married families is higher at 34.0%, compared to 25.0% in Mansfield.
- Mansfield has a higher poverty level at 18% compared to 8% in Converse.
- The unemployment rate in Mansfield is higher at 6.8%, compared to 3.2% in Converse.
Demographics
Demographics Mansfield vs Converse provide insight into the diversity of the communities to compare.
| Demographic | Mansfield | Converse |
|---|---|---|
| Black | 19 | 2 |
| White | 69 | 88 |
| Asian | 1 | 2 |
| Hispanic | 3 | 4 |
| Two or More Races | 8 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mansfield vs Converse
- A higher percentage of Black residents are in Mansfield at 19% compared to 2% in Converse.
- The percentage of White residents is higher in Converse at 88% compared to 69% in Mansfield.
- In Converse, the Asian population stands at 2%, greater than 1% in Mansfield.
- Converse has a higher percentage of Hispanic residents at 4%, compared to 3% in Mansfield.
- More residents identify as two or more races in Mansfield at 8% compared to 4% in Converse.
- The percentage of American Indian residents is the same in both Mansfield and Converse at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mansfield | Converse |
|---|---|---|
| Mental Health Not Good | 19.6% | 17.2% |
| Physical Health Not Good | 14.9% | 11.2% |
| Depression | 24.4% | 26.7% |
| Smoking | 27.4% | 19.5% |
| Binge Drinking | 16.7% | 18.0% |
| Obesity | 44.5% | 35.6% |
| Disability Percentage | 18.0% | 18.0% |
Health Statistics Comparison: Mansfield vs Converse
- More residents in Mansfield report poor mental health at 19.6% compared to 17.2% in Converse.
- Higher depression rates are seen in Converse at 26.7% versus 24.4% in Mansfield.
- Smoking is more prevalent in Mansfield at 27.4% compared to 19.5% in Converse.
- More residents engage in binge drinking in Converse at 18.0% compared to 16.7% in Mansfield.
- Obesity rates are higher in Mansfield at 44.5% compared to 35.6% in Converse.
- Disability percentages are the same in both Mansfield and Converse at 18.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mansfield | Converse |
|---|---|---|
| No Schooling | 1.0% (463) | 0.0% (Data is updating) |
| High School Diploma | 23.0% (11,014) | 19.3% (220) |
| Less than High School | 15.7% (7,522) | 11.0% (125) |
| Bachelor's Degree and Higher | 11.2% (5,339) | 6.4% (73) |
Education Levels Comparison: Mansfield vs Converse
- A higher percentage of residents in Mansfield have no formal schooling at 1.0% compared to 0.0% in Converse.
- A higher percentage of residents in Mansfield hold a high school diploma at 23.0% compared to 19.3% in Converse.
- More residents in Mansfield have less than a high school education at 15.7% compared to 11.0% in Converse.
- A higher percentage of residents in Mansfield hold a bachelor's degree or higher at 11.2% compared to 6.4% in Converse.
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.