Demographics details for Temple city, CA vs Whitehall, WI
Population Overview
Compare main population characteristics in Temple city, CA vs Whitehall, WI.
Data | Temple city | Whitehall |
---|---|---|
Population | 35,296 | 1,632 |
Median Age | 42.9 years | 36.8 years |
Median Income | $95,263 | $56,894 |
Married Families | 44.0% | 30.0% |
Poverty Level | Data is updating | 7% |
Unemployment Rate | 5.1 | 3.6 |
Population Comparison: Temple city vs Whitehall
- In Temple city, the population is higher at 35,296, compared to 1,632 in Whitehall.
- Residents in Temple city have a higher median age of 42.9 years compared to 36.8 years in Whitehall.
- Temple city has a higher median income of $95,263 compared to $56,894 in Whitehall.
- A higher percentage of married families is found in Temple city at 44.0% compared to 30.0% in Whitehall.
- The poverty level is higher in Whitehall at 7%, compared to 0% in Temple city.
- The unemployment rate in Temple city is higher at 5.1%, compared to 3.6% in Whitehall.
Demographics
Demographics Temple city vs Whitehall provide insight into the diversity of the communities to compare.
Demographic | Temple city | Whitehall |
---|---|---|
Black | Data is updating | 1 |
White | 7 | 83 |
Asian | 67 | Data is updating |
Hispanic | 18 | 12 |
Two or More Races | 8 | 3 |
American Indian | Data is updating | 1 |
Demographics Comparison: Temple city vs Whitehall
- In Whitehall, the percentage of Black residents is higher at 1% compared to 0% in Temple city.
- The percentage of White residents is higher in Whitehall at 83% compared to 7% in Temple city.
- The Asian population is larger in Temple city at 67% compared to 0% in Whitehall.
- The Hispanic community is larger in Temple city at 18% compared to 12% in Whitehall.
- More residents identify as two or more races in Temple city at 8% compared to 3% in Whitehall.
- In Whitehall, the percentage of American Indian residents is higher at 1%, compared to 0% in Temple city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Temple city | Whitehall |
---|---|---|
Mental Health Not Good | 12.9% | 15.2% |
Physical Health Not Good | 8.9% | 10.3% |
Depression | 12.6% | 24.0% |
Smoking | 9.3% | 16.7% |
Binge Drinking | 12.4% | 24.4% |
Obesity | 20.1% | 34.9% |
Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: Temple city vs Whitehall
- In Whitehall, a higher percentage report poor mental health at 15.2% compared to 12.9% in Temple city.
- Higher depression rates are seen in Whitehall at 24.0% versus 12.6% in Temple city.
- Whitehall has a higher smoking rate at 16.7% compared to 9.3% in Temple city.
- More residents engage in binge drinking in Whitehall at 24.4% compared to 12.4% in Temple city.
- Whitehall has higher obesity rates at 34.9% compared to 20.1% in Temple city.
- There is a higher percentage of disabled individuals in Whitehall at 15.0% compared to 9.0% in Temple city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Temple city | Whitehall |
---|---|---|
No Schooling | 2.1% (724) | 0.4% (7) |
High School Diploma | 14.7% (5,202) | 24.4% (398) |
Less than High School | 11.4% (4,037) | 15.7% (256) |
Bachelor's Degree and Higher | 30.7% (10,834) | 8.6% (141) |
Education Levels Comparison: Temple city vs Whitehall
- A higher percentage of residents in Temple city have no formal schooling at 2.1% compared to 0.4% in Whitehall.
- In Whitehall, the rate of residents with high school diplomas is higher at 24.4% compared to 14.7% in Temple city.
- The percentage of residents with less than a high school education is higher in Whitehall at 15.7%, compared to 11.4% in Temple city.
- A higher percentage of residents in Temple city hold a bachelor's degree or higher at 30.7% compared to 8.6% in Whitehall.
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.