Demographics details for Mountain home, ID vs Sulphur, LA
Population Overview
Compare main population characteristics in Mountain home, ID vs Sulphur, LA.
Data | Mountain home | Sulphur |
---|---|---|
Population | 16,469 | 20,342 |
Median Age | 31.3 years | 38.9 years |
Median Income | $53,108 | $53,606 |
Married Families | 36.0% | 36.0% |
Poverty Level | 12% | 15% |
Unemployment Rate | 3.1 | 4.2 |
Population Comparison: Mountain home vs Sulphur
- The population in Sulphur is higher at 20,342, compared to 16,469 in Mountain home.
- The median age in Sulphur is higher at 38.9 years, compared to 31.3 years in Mountain home.
- Sulphur has a higher median income of $53,606, compared to $53,108 in Mountain home.
- The percentage of married families is the same in both Mountain home and Sulphur at 36.0%.
- The poverty level is higher in Sulphur at 15%, compared to 12% in Mountain home.
- Sulphur has a higher unemployment rate at 4.2% compared to 3.1% in Mountain home.
Demographics
Demographics Mountain home vs Sulphur provide insight into the diversity of the communities to compare.
Demographic | Mountain home | Sulphur |
---|---|---|
Black | 2 | 9 |
White | 69 | 83 |
Asian | 4 | 1 |
Hispanic | 14 | 5 |
Two or More Races | 9 | 2 |
American Indian | 2 | Data is updating |
Demographics Comparison: Mountain home vs Sulphur
- In Sulphur, the percentage of Black residents is higher at 9% compared to 2% in Mountain home.
- The percentage of White residents is higher in Sulphur at 83% compared to 69% in Mountain home.
- The Asian population is larger in Mountain home at 4% compared to 1% in Sulphur.
- The Hispanic community is larger in Mountain home at 14% compared to 5% in Sulphur.
- More residents identify as two or more races in Mountain home at 9% compared to 2% in Sulphur.
- A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Sulphur.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mountain home | Sulphur |
---|---|---|
Mental Health Not Good | 16.9% | 19.6% |
Physical Health Not Good | 12.6% | 12.4% |
Depression | 22.4% | 28.7% |
Smoking | 18.3% | 21.3% |
Binge Drinking | 15.8% | 20.6% |
Obesity | 36.1% | 37.3% |
Disability Percentage | 18.0% | 16.0% |
Health Statistics Comparison: Mountain home vs Sulphur
- In Sulphur, a higher percentage report poor mental health at 19.6% compared to 16.9% in Mountain home.
- Higher depression rates are seen in Sulphur at 28.7% versus 22.4% in Mountain home.
- Sulphur has a higher smoking rate at 21.3% compared to 18.3% in Mountain home.
- More residents engage in binge drinking in Sulphur at 20.6% compared to 15.8% in Mountain home.
- Sulphur has higher obesity rates at 37.3% compared to 36.1% in Mountain home.
- Disability percentages are higher in Mountain home at 18.0% compared to 16.0% in Sulphur.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mountain home | Sulphur |
---|---|---|
No Schooling | 1.7% (273) | 0.5% (93) |
High School Diploma | 16.3% (2,690) | 24.2% (4,925) |
Less than High School | 12.8% (2,116) | 19.3% (3,918) |
Bachelor's Degree and Higher | 10.4% (1,720) | 11.7% (2,384) |
Education Levels Comparison: Mountain home vs Sulphur
- A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 0.5% in Sulphur.
- In Sulphur, the rate of residents with high school diplomas is higher at 24.2% compared to 16.3% in Mountain home.
- The percentage of residents with less than a high school education is higher in Sulphur at 19.3%, compared to 12.8% in Mountain home.
- In Sulphur, a larger share of residents have a bachelor's degree or higher at 11.7% 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.