Demographics details for Independence, KY vs Otto, NC
Population Overview
Compare main population characteristics in Independence, KY vs Otto, NC.
| Data | Independence | Otto |
|---|---|---|
| Population | 29,326 | 1,000 |
| Median Age | 34.7 years | 45.0 years |
| Median Income | $92,355 | $50,000 |
| Married Families | 42.0% | 300.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Independence vs Otto
- In Independence, the population is higher at 29,326, compared to 1,000 in Otto.
- The median age in Otto is higher at 45.0 years, compared to 34.7 years in Independence.
- Independence has a higher median income of $92,355 compared to $50,000 in Otto.
- In Otto, the percentage of married families is higher at 300.0%, compared to 42.0% in Independence.
- The poverty level is higher in Otto at 12%, compared to 6% in Independence.
- Otto has a higher unemployment rate at 4.5% compared to 4.2% in Independence.
Demographics
Demographics Independence vs Otto provide insight into the diversity of the communities to compare.
| Demographic | Independence | Otto |
|---|---|---|
| Black | 1 | 5 |
| White | 94 | 95 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Independence vs Otto
- In Otto, the percentage of Black residents is higher at 5% compared to 1% in Independence.
- The percentage of White residents is higher in Otto at 95% compared to 94% in Independence.
- The Asian population is larger in Independence at 1% compared to 0% in Otto.
- The Hispanic community is larger in Independence at 1% compared to 0% in Otto.
- More residents identify as two or more races in Independence at 3% compared to 0% in Otto.
- The percentage of American Indian residents is the same in both Independence and Otto at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Independence | Otto |
|---|---|---|
| Mental Health Not Good | 16.1% | Data is updating% |
| Physical Health Not Good | 10.7% | Data is updating% |
| Depression | 25.6% | Data is updating% |
| Smoking | 16.7% | Data is updating% |
| Binge Drinking | 17.5% | Data is updating% |
| Obesity | 32.8% | Data is updating% |
| Disability Percentage | 11.0% | Data is updating% |
Health Statistics Comparison: Independence vs Otto
- More residents in Independence report poor mental health at 16.1% compared to 0.0% in Otto.
- Depression is more prevalent in Independence at 25.6% compared to 0.0% in Otto.
- Smoking is more prevalent in Independence at 16.7% compared to 0.0% in Otto.
- Binge drinking is more common in Independence at 17.5% compared to 0.0% in Otto.
- Obesity rates are higher in Independence at 32.8% compared to 0.0% in Otto.
- Disability percentages are higher in Independence at 11.0% compared to 0.0% in Otto.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Independence | Otto |
|---|---|---|
| No Schooling | 1.1% (337) | 0.0% (Data is updating) |
| High School Diploma | 14.6% (4,279) | 0.0% (Data is updating) |
| Less than High School | 6.6% (1,931) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 22.3% (6,549) | 0.0% (Data is updating) |
Education Levels Comparison: Independence vs Otto
- A higher percentage of residents in Independence have no formal schooling at 1.1% compared to 0.0% in Otto.
- A higher percentage of residents in Independence hold a high school diploma at 14.6% compared to 0.0% in Otto.
- More residents in Independence have less than a high school education at 6.6% compared to 0.0% in Otto.
- A higher percentage of residents in Independence hold a bachelor's degree or higher at 22.3% compared to 0.0% in Otto.
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.