Demographics details for Mountain home, ID vs Catawba, SC
Population Overview
Compare main population characteristics in Mountain home, ID vs Catawba, SC.
| Data | Mountain home | Catawba |
|---|---|---|
| Population | 16,469 | 1,439 |
| Median Age | 31.3 years | 32.7 years |
| Median Income | $53,108 | $50,920 |
| Married Families | 36.0% | 33.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.1 | 3.5 |
Population Comparison: Mountain home vs Catawba
- In Mountain home, the population is higher at 16,469, compared to 1,439 in Catawba.
- The median age in Catawba is higher at 32.7 years, compared to 31.3 years in Mountain home.
- Mountain home has a higher median income of $53,108 compared to $50,920 in Catawba.
- A higher percentage of married families is found in Mountain home at 36.0% compared to 33.0% in Catawba.
- The poverty level is identical in both Mountain home and Catawba at 12%.
- Catawba has a higher unemployment rate at 3.5% compared to 3.1% in Mountain home.
Demographics
Demographics Mountain home vs Catawba provide insight into the diversity of the communities to compare.
| Demographic | Mountain home | Catawba |
|---|---|---|
| Black | 2 | 23 |
| White | 69 | 63 |
| Asian | 4 | 4 |
| Hispanic | 14 | 6 |
| Two or More Races | 9 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Mountain home vs Catawba
- In Catawba, the percentage of Black residents is higher at 23% compared to 2% in Mountain home.
- Mountain home has a higher percentage of White residents at 69% compared to 63% in Catawba.
- Both Mountain home and Catawba have the same percentage of Asian residents at 4%.
- The Hispanic community is larger in Mountain home at 14% compared to 6% in Catawba.
- More residents identify as two or more races in Mountain home at 9% compared to 4% in Catawba.
- A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Catawba.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain home | Catawba |
|---|---|---|
| Mental Health Not Good | 16.9% | 17.4% |
| Physical Health Not Good | 12.6% | 11.6% |
| Depression | 22.4% | 22.2% |
| Smoking | 18.3% | 17.0% |
| Binge Drinking | 15.8% | 18.3% |
| Obesity | 36.1% | 34.8% |
| Disability Percentage | 18.0% | 13.0% |
Health Statistics Comparison: Mountain home vs Catawba
- In Catawba, a higher percentage report poor mental health at 17.4% compared to 16.9% in Mountain home.
- Depression is more prevalent in Mountain home at 22.4% compared to 22.2% in Catawba.
- Smoking is more prevalent in Mountain home at 18.3% compared to 17.0% in Catawba.
- More residents engage in binge drinking in Catawba at 18.3% compared to 15.8% in Mountain home.
- Obesity rates are higher in Mountain home at 36.1% compared to 34.8% in Catawba.
- Disability percentages are higher in Mountain home at 18.0% compared to 13.0% in Catawba.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mountain home | Catawba |
|---|---|---|
| No Schooling | 1.7% (273) | 0.1% (1) |
| High School Diploma | 16.3% (2,690) | 11.5% (166) |
| Less than High School | 12.8% (2,116) | 15.7% (226) |
| Bachelor's Degree and Higher | 10.4% (1,720) | 21.5% (310) |
Education Levels Comparison: Mountain home vs Catawba
- A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 0.1% in Catawba.
- A higher percentage of residents in Mountain home hold a high school diploma at 16.3% compared to 11.5% in Catawba.
- The percentage of residents with less than a high school education is higher in Catawba at 15.7%, compared to 12.8% in Mountain home.
- In Catawba, a larger share of residents have a bachelor's degree or higher at 21.5% compared to 10.4% in Mountain home.
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.