Demographics details for Green, OH vs Temple city, CA
Population Overview
Compare main population characteristics in Green, OH vs Temple city, CA.
| Data | Green | Temple city |
|---|---|---|
| Population | 27,269 | 35,296 |
| Median Age | 41.1 years | 42.9 years |
| Median Income | $90,419 | $95,263 |
| Married Families | 45.0% | 44.0% |
| Poverty Level | 4% | Data is updating |
| Unemployment Rate | 4.7 | 5.1 |
Population Comparison: Green vs Temple city
- The population in Temple city is higher at 35,296, compared to 27,269 in Green.
- The median age in Temple city is higher at 42.9 years, compared to 41.1 years in Green.
- Temple city has a higher median income of $95,263, compared to $90,419 in Green.
- A higher percentage of married families is found in Green at 45.0% compared to 44.0% in Temple city.
- Green has a higher poverty level at 4% compared to 0% in Temple city.
- Temple city has a higher unemployment rate at 5.1% compared to 4.7% in Green.
Demographics
Demographics Green vs Temple city provide insight into the diversity of the communities to compare.
| Demographic | Green | Temple city |
|---|---|---|
| Black | 1 | Data is updating |
| White | 94 | 7 |
| Asian | 1 | 67 |
| Hispanic | 1 | 18 |
| Two or More Races | 3 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Green vs Temple city
- A higher percentage of Black residents are in Green at 1% compared to 0% in Temple city.
- Green has a higher percentage of White residents at 94% compared to 7% in Temple city.
- In Temple city, the Asian population stands at 67%, greater than 1% in Green.
- Temple city has a higher percentage of Hispanic residents at 18%, compared to 1% in Green.
- The percentage of residents identifying as two or more races is higher in Temple city at 8%, compared to 3% in Green.
- The percentage of American Indian residents is the same in both Green and Temple city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green | Temple city |
|---|---|---|
| Mental Health Not Good | 16.6% | 12.9% |
| Physical Health Not Good | 10.5% | 8.9% |
| Depression | 24.7% | 12.6% |
| Smoking | 17.4% | 9.3% |
| Binge Drinking | 19.1% | 12.4% |
| Obesity | 40.2% | 20.1% |
| Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Green vs Temple city
- More residents in Green report poor mental health at 16.6% compared to 12.9% in Temple city.
- Depression is more prevalent in Green at 24.7% compared to 12.6% in Temple city.
- Smoking is more prevalent in Green at 17.4% compared to 9.3% in Temple city.
- Binge drinking is more common in Green at 19.1% compared to 12.4% in Temple city.
- Obesity rates are higher in Green at 40.2% compared to 20.1% in Temple city.
- Disability percentages are the same in both Green and Temple city at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green | Temple city |
|---|---|---|
| No Schooling | 0.2% (46) | 2.1% (724) |
| High School Diploma | 16.6% (4,514) | 14.7% (5,202) |
| Less than High School | 3.0% (828) | 11.4% (4,037) |
| Bachelor's Degree and Higher | 29.3% (7,977) | 30.7% (10,834) |
Education Levels Comparison: Green vs Temple city
- In Temple city, a larger percentage of residents lack formal schooling at 2.1% compared to 0.2% in Green.
- A higher percentage of residents in Green hold a high school diploma at 16.6% compared to 14.7% in Temple city.
- The percentage of residents with less than a high school education is higher in Temple city at 11.4%, compared to 3.0% in Green.
- In Temple city, a larger share of residents have a bachelor's degree or higher at 30.7% compared to 29.3% in Green.
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.