Demographics details for Seymour, IN vs Sublimity, OR
Population Overview
Compare main population characteristics in Seymour, IN vs Sublimity, OR.
Data | Seymour | Sublimity |
---|---|---|
Population | 21,618 | 2,942 |
Median Age | 34.5 years | 51.8 years |
Median Income | $57,347 | $74,875 |
Married Families | 32.0% | 46.0% |
Poverty Level | 12% | 6% |
Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Seymour vs Sublimity
- In Seymour, the population is higher at 21,618, compared to 2,942 in Sublimity.
- The median age in Sublimity is higher at 51.8 years, compared to 34.5 years in Seymour.
- Sublimity has a higher median income of $74,875, compared to $57,347 in Seymour.
- In Sublimity, the percentage of married families is higher at 46.0%, compared to 32.0% in Seymour.
- Seymour has a higher poverty level at 12% compared to 6% in Sublimity.
- The unemployment rate in Seymour is higher at 3.5%, compared to 3.2% in Sublimity.
Demographics
Demographics Seymour vs Sublimity provide insight into the diversity of the communities to compare.
Demographic | Seymour | Sublimity |
---|---|---|
Black | 2 | Data is updating |
White | 68 | 85 |
Asian | 3 | 1 |
Hispanic | 15 | 10 |
Two or More Races | 11 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Seymour vs Sublimity
- A higher percentage of Black residents are in Seymour at 2% compared to 0% in Sublimity.
- The percentage of White residents is higher in Sublimity at 85% compared to 68% in Seymour.
- The Asian population is larger in Seymour at 3% compared to 1% in Sublimity.
- The Hispanic community is larger in Seymour at 15% compared to 10% in Sublimity.
- More residents identify as two or more races in Seymour at 11% compared to 4% in Sublimity.
- A greater percentage of American Indian residents live in Seymour at 1% compared to 0% in Sublimity.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Seymour | Sublimity |
---|---|---|
Mental Health Not Good | 18.0% | 18.3% |
Physical Health Not Good | 12.9% | 11.1% |
Depression | 26.9% | 29.6% |
Smoking | 21.5% | 15.9% |
Binge Drinking | 16.3% | 17.4% |
Obesity | 42.2% | 34.8% |
Disability Percentage | 15.0% | 14.0% |
Health Statistics Comparison: Seymour vs Sublimity
- In Sublimity, a higher percentage report poor mental health at 18.3% compared to 18.0% in Seymour.
- Higher depression rates are seen in Sublimity at 29.6% versus 26.9% in Seymour.
- Smoking is more prevalent in Seymour at 21.5% compared to 15.9% in Sublimity.
- More residents engage in binge drinking in Sublimity at 17.4% compared to 16.3% in Seymour.
- Obesity rates are higher in Seymour at 42.2% compared to 34.8% in Sublimity.
- Disability percentages are higher in Seymour at 15.0% compared to 14.0% in Sublimity.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Seymour | Sublimity |
---|---|---|
No Schooling | 1.6% (348) | 1.4% (42) |
High School Diploma | 20.2% (4,374) | 17.2% (507) |
Less than High School | 17.4% (3,765) | 9.2% (272) |
Bachelor's Degree and Higher | 12.2% (2,648) | 23.6% (695) |
Education Levels Comparison: Seymour vs Sublimity
- A higher percentage of residents in Seymour have no formal schooling at 1.6% compared to 1.4% in Sublimity.
- A higher percentage of residents in Seymour hold a high school diploma at 20.2% compared to 17.2% in Sublimity.
- More residents in Seymour have less than a high school education at 17.4% compared to 9.2% in Sublimity.
- In Sublimity, a larger share of residents have a bachelor's degree or higher at 23.6% compared to 12.2% in Seymour.
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.