Demographics details for Protection, KS vs Green, OH
Population Overview
Compare main population characteristics in Protection, KS vs Green, OH.
| Data | Protection | Green |
|---|---|---|
| Population | 496 | 27,269 |
| Median Age | 45.1 years | 41.1 years |
| Median Income | $60,833 | $90,419 |
| Married Families | 42.0% | 45.0% |
| Poverty Level | 11% | 4% |
| Unemployment Rate | 3.2 | 4.7 |
Population Comparison: Protection vs Green
- The population in Green is higher at 27,269, compared to 496 in Protection.
- Residents in Protection have a higher median age of 45.1 years compared to 41.1 years in Green.
- Green has a higher median income of $90,419, compared to $60,833 in Protection.
- In Green, the percentage of married families is higher at 45.0%, compared to 42.0% in Protection.
- Protection has a higher poverty level at 11% compared to 4% in Green.
- Green has a higher unemployment rate at 4.7% compared to 3.2% in Protection.
Demographics
Demographics Protection vs Green provide insight into the diversity of the communities to compare.
| Demographic | Protection | Green |
|---|---|---|
| Black | Data is updating | 1 |
| White | 94 | 94 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 1 |
| Two or More Races | 1 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Protection vs Green
- In Green, the percentage of Black residents is higher at 1% compared to 0% in Protection.
- The percentage of White residents is the same in both Protection and Green at 94%.
- In Green, the Asian population stands at 1%, greater than 0% in Protection.
- The Hispanic community is larger in Protection at 5% compared to 1% in Green.
- The percentage of residents identifying as two or more races is higher in Green at 3%, compared to 1% in Protection.
- The percentage of American Indian residents is the same in both Protection and Green at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Protection | Green |
|---|---|---|
| Mental Health Not Good | 15.8% | 16.6% |
| Physical Health Not Good | 10.0% | 10.5% |
| Depression | 20.5% | 24.7% |
| Smoking | 17.7% | 17.4% |
| Binge Drinking | 20.2% | 19.1% |
| Obesity | 38.5% | 40.2% |
| Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: Protection vs Green
- In Green, a higher percentage report poor mental health at 16.6% compared to 15.8% in Protection.
- Higher depression rates are seen in Green at 24.7% versus 20.5% in Protection.
- Smoking is more prevalent in Protection at 17.7% compared to 17.4% in Green.
- Binge drinking is more common in Protection at 20.2% compared to 19.1% in Green.
- Green has higher obesity rates at 40.2% compared to 38.5% in Protection.
- Disability percentages are higher in Protection at 14.0% compared to 9.0% in Green.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Protection | Green |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.2% (46) |
| High School Diploma | 24.8% (123) | 16.6% (4,514) |
| Less than High School | 8.1% (40) | 3.0% (828) |
| Bachelor's Degree and Higher | 20.6% (102) | 29.3% (7,977) |
Education Levels Comparison: Protection vs Green
- In Green, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Protection.
- A higher percentage of residents in Protection hold a high school diploma at 24.8% compared to 16.6% in Green.
- More residents in Protection have less than a high school education at 8.1% compared to 3.0% in Green.
- In Green, a larger share of residents have a bachelor's degree or higher at 29.3% compared to 20.6% in Protection.
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.