Demographics details for Seymour, IN vs South solon, OH
Population Overview
Compare main population characteristics in Seymour, IN vs South solon, OH.
Data | Seymour | South solon |
---|---|---|
Population | 21,618 | 327 |
Median Age | 34.5 years | 39.8 years |
Median Income | $57,347 | $56,563 |
Married Families | 32.0% | 48.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Seymour vs South solon
- In Seymour, the population is higher at 21,618, compared to 327 in South solon.
- The median age in South solon is higher at 39.8 years, compared to 34.5 years in Seymour.
- Seymour has a higher median income of $57,347 compared to $56,563 in South solon.
- In South solon, the percentage of married families is higher at 48.0%, compared to 32.0% in Seymour.
- The poverty level is identical in both Seymour and South solon at 12%.
- The unemployment rate is the same in both Seymour and South solon at 3.5%.
Demographics
Demographics Seymour vs South solon provide insight into the diversity of the communities to compare.
Demographic | Seymour | South solon |
---|---|---|
Black | 2 | Data is updating |
White | 68 | 70 |
Asian | 3 | Data is updating |
Hispanic | 15 | 20 |
Two or More Races | 11 | 10 |
American Indian | 1 | Data is updating |
Demographics Comparison: Seymour vs South solon
- A higher percentage of Black residents are in Seymour at 2% compared to 0% in South solon.
- The percentage of White residents is higher in South solon at 70% compared to 68% in Seymour.
- The Asian population is larger in Seymour at 3% compared to 0% in South solon.
- South solon has a higher percentage of Hispanic residents at 20%, compared to 15% in Seymour.
- More residents identify as two or more races in Seymour at 11% compared to 10% in South solon.
- A greater percentage of American Indian residents live in Seymour at 1% compared to 0% in South solon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Seymour | South solon |
---|---|---|
Mental Health Not Good | 18.0% | 17.7% |
Physical Health Not Good | 12.9% | 11.9% |
Depression | 26.9% | 24.2% |
Smoking | 21.5% | 21.3% |
Binge Drinking | 16.3% | 19.1% |
Obesity | 42.2% | 40.5% |
Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Seymour vs South solon
- More residents in Seymour report poor mental health at 18.0% compared to 17.7% in South solon.
- Depression is more prevalent in Seymour at 26.9% compared to 24.2% in South solon.
- Smoking is more prevalent in Seymour at 21.5% compared to 21.3% in South solon.
- More residents engage in binge drinking in South solon at 19.1% compared to 16.3% in Seymour.
- Obesity rates are higher in Seymour at 42.2% compared to 40.5% in South solon.
- There is a higher percentage of disabled individuals in South solon at 16.0% compared to 15.0% in Seymour.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Seymour | South solon |
---|---|---|
No Schooling | 1.6% (348) | 0.3% (1) |
High School Diploma | 20.2% (4,374) | 41.0% (134) |
Less than High School | 17.4% (3,765) | 21.4% (70) |
Bachelor's Degree and Higher | 12.2% (2,648) | 7.6% (25) |
Education Levels Comparison: Seymour vs South solon
- A higher percentage of residents in Seymour have no formal schooling at 1.6% compared to 0.3% in South solon.
- In South solon, the rate of residents with high school diplomas is higher at 41.0% compared to 20.2% in Seymour.
- The percentage of residents with less than a high school education is higher in South solon at 21.4%, compared to 17.4% in Seymour.
- A higher percentage of residents in Seymour hold a bachelor's degree or higher at 12.2% compared to 7.6% in South solon.
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.