Demographics details for Sweetwater, TX vs Camp hill, PA
Population Overview
Compare main population characteristics in Sweetwater, TX vs Camp hill, PA.
| Data | Sweetwater | Camp hill |
|---|---|---|
| Population | 10,408 | 8,204 |
| Median Age | 35.7 years | 42.5 years |
| Median Income | $44,306 | $104,959 |
| Married Families | 32.0% | 44.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 5.4 | 4.0 |
Population Comparison: Sweetwater vs Camp hill
- In Sweetwater, the population is higher at 10,408, compared to 8,204 in Camp hill.
- The median age in Camp hill is higher at 42.5 years, compared to 35.7 years in Sweetwater.
- Camp hill has a higher median income of $104,959, compared to $44,306 in Sweetwater.
- In Camp hill, the percentage of married families is higher at 44.0%, compared to 32.0% in Sweetwater.
- Sweetwater has a higher poverty level at 15% compared to 5% in Camp hill.
- The unemployment rate in Sweetwater is higher at 5.4%, compared to 4.0% in Camp hill.
Demographics
Demographics Sweetwater vs Camp hill provide insight into the diversity of the communities to compare.
| Demographic | Sweetwater | Camp hill |
|---|---|---|
| Black | 6 | 2 |
| White | 34 | 82 |
| Asian | Data is updating | 6 |
| Hispanic | 46 | 5 |
| Two or More Races | 13 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Sweetwater vs Camp hill
- A higher percentage of Black residents are in Sweetwater at 6% compared to 2% in Camp hill.
- The percentage of White residents is higher in Camp hill at 82% compared to 34% in Sweetwater.
- In Camp hill, the Asian population stands at 6%, greater than 0% in Sweetwater.
- The Hispanic community is larger in Sweetwater at 46% compared to 5% in Camp hill.
- More residents identify as two or more races in Sweetwater at 13% compared to 5% in Camp hill.
- A greater percentage of American Indian residents live in Sweetwater at 1% compared to 0% in Camp hill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sweetwater | Camp hill |
|---|---|---|
| Mental Health Not Good | 19.1% | 13.8% |
| Physical Health Not Good | 14.3% | 9.0% |
| Depression | 24.2% | 20.4% |
| Smoking | 20.3% | 12.8% |
| Binge Drinking | 17.3% | 17.3% |
| Obesity | 38.9% | 28.8% |
| Disability Percentage | 21.0% | 10.0% |
Health Statistics Comparison: Sweetwater vs Camp hill
- More residents in Sweetwater report poor mental health at 19.1% compared to 13.8% in Camp hill.
- Depression is more prevalent in Sweetwater at 24.2% compared to 20.4% in Camp hill.
- Smoking is more prevalent in Sweetwater at 20.3% compared to 12.8% in Camp hill.
- Binge drinking rates are similar in both Sweetwater and Camp hill at 17.3%.
- Obesity rates are higher in Sweetwater at 38.9% compared to 28.8% in Camp hill.
- Disability percentages are higher in Sweetwater at 21.0% compared to 10.0% in Camp hill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sweetwater | Camp hill |
|---|---|---|
| No Schooling | 1.9% (194) | 0.6% (51) |
| High School Diploma | 16.0% (1,666) | 9.2% (756) |
| Less than High School | 23.1% (2,408) | 4.6% (381) |
| Bachelor's Degree and Higher | 7.0% (733) | 41.3% (3,388) |
Education Levels Comparison: Sweetwater vs Camp hill
- A higher percentage of residents in Sweetwater have no formal schooling at 1.9% compared to 0.6% in Camp hill.
- A higher percentage of residents in Sweetwater hold a high school diploma at 16.0% compared to 9.2% in Camp hill.
- More residents in Sweetwater have less than a high school education at 23.1% compared to 4.6% in Camp hill.
- In Camp hill, a larger share of residents have a bachelor's degree or higher at 41.3% compared to 7.0% in Sweetwater.
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.