Demographics details for Springhill, LA vs Mountain view, CA
Population Overview
Compare main population characteristics in Springhill, LA vs Mountain view, CA.
Data | Springhill | Mountain view |
---|---|---|
Population | 4,575 | 81,059 |
Median Age | 46.1 years | 35.5 years |
Median Income | $27,868 | $174,156 |
Married Families | 34.0% | 43.0% |
Poverty Level | 20% | 6% |
Unemployment Rate | 5.2 | 3.2 |
Population Comparison: Springhill vs Mountain view
- The population in Mountain view is higher at 81,059, compared to 4,575 in Springhill.
- Residents in Springhill have a higher median age of 46.1 years compared to 35.5 years in Mountain view.
- Mountain view has a higher median income of $174,156, compared to $27,868 in Springhill.
- In Mountain view, the percentage of married families is higher at 43.0%, compared to 34.0% in Springhill.
- Springhill has a higher poverty level at 20% compared to 6% in Mountain view.
- The unemployment rate in Springhill is higher at 5.2%, compared to 3.2% in Mountain view.
Demographics
Demographics Springhill vs Mountain view provide insight into the diversity of the communities to compare.
Demographic | Springhill | Mountain view |
---|---|---|
Black | 34 | 2 |
White | 55 | 32 |
Asian | Data is updating | 34 |
Hispanic | 8 | 19 |
Two or More Races | 2 | 12 |
American Indian | 1 | 1 |
Demographics Comparison: Springhill vs Mountain view
- A higher percentage of Black residents are in Springhill at 34% compared to 2% in Mountain view.
- Springhill has a higher percentage of White residents at 55% compared to 32% in Mountain view.
- In Mountain view, the Asian population stands at 34%, greater than 0% in Springhill.
- Mountain view has a higher percentage of Hispanic residents at 19%, compared to 8% in Springhill.
- The percentage of residents identifying as two or more races is higher in Mountain view at 12%, compared to 2% in Springhill.
- The percentage of American Indian residents is the same in both Springhill and Mountain view at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Springhill | Mountain view |
---|---|---|
Mental Health Not Good | 23.7% | 11.7% |
Physical Health Not Good | 18.7% | 7.1% |
Depression | 29.9% | 14.7% |
Smoking | 31.4% | 6.5% |
Binge Drinking | 15.2% | 14.9% |
Obesity | 45.4% | 19.1% |
Disability Percentage | 21.0% | 6.0% |
Health Statistics Comparison: Springhill vs Mountain view
- More residents in Springhill report poor mental health at 23.7% compared to 11.7% in Mountain view.
- Depression is more prevalent in Springhill at 29.9% compared to 14.7% in Mountain view.
- Smoking is more prevalent in Springhill at 31.4% compared to 6.5% in Mountain view.
- Binge drinking is more common in Springhill at 15.2% compared to 14.9% in Mountain view.
- Obesity rates are higher in Springhill at 45.4% compared to 19.1% in Mountain view.
- Disability percentages are higher in Springhill at 21.0% compared to 6.0% in Mountain view.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Springhill | Mountain view |
---|---|---|
No Schooling | 2.3% (104) | 1.0% (826) |
High School Diploma | 22.5% (1,028) | 4.9% (3,963) |
Less than High School | 24.5% (1,122) | 7.1% (5,739) |
Bachelor's Degree and Higher | 6.1% (277) | 54.5% (44,174) |
Education Levels Comparison: Springhill vs Mountain view
- A higher percentage of residents in Springhill have no formal schooling at 2.3% compared to 1.0% in Mountain view.
- A higher percentage of residents in Springhill hold a high school diploma at 22.5% compared to 4.9% in Mountain view.
- More residents in Springhill have less than a high school education at 24.5% compared to 7.1% in Mountain view.
- In Mountain view, a larger share of residents have a bachelor's degree or higher at 54.5% compared to 6.1% in Springhill.
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.