Demographics details for Santa paula, CA vs Gallatin, TN
Population Overview
Compare main population characteristics in Santa paula, CA vs Gallatin, TN.
Data | Santa paula | Gallatin |
---|---|---|
Population | 31,018 | 48,194 |
Median Age | 34.6 years | 37.8 years |
Median Income | $72,014 | $68,548 |
Married Families | 36.0% | 37.0% |
Poverty Level | 15% | 13% |
Unemployment Rate | 5.6 | 3.3 |
Population Comparison: Santa paula vs Gallatin
- The population in Gallatin is higher at 48,194, compared to 31,018 in Santa paula.
- The median age in Gallatin is higher at 37.8 years, compared to 34.6 years in Santa paula.
- Santa paula has a higher median income of $72,014 compared to $68,548 in Gallatin.
- In Gallatin, the percentage of married families is higher at 37.0%, compared to 36.0% in Santa paula.
- Santa paula has a higher poverty level at 15% compared to 13% in Gallatin.
- The unemployment rate in Santa paula is higher at 5.6%, compared to 3.3% in Gallatin.
Demographics
Demographics Santa paula vs Gallatin provide insight into the diversity of the communities to compare.
Demographic | Santa paula | Gallatin |
---|---|---|
Black | 1 | 15 |
White | 2 | 67 |
Asian | 1 | 2 |
Hispanic | 81 | 9 |
Two or More Races | 13 | 7 |
American Indian | 2 | Data is updating |
Demographics Comparison: Santa paula vs Gallatin
- In Gallatin, the percentage of Black residents is higher at 15% compared to 1% in Santa paula.
- The percentage of White residents is higher in Gallatin at 67% compared to 2% in Santa paula.
- In Gallatin, the Asian population stands at 2%, greater than 1% in Santa paula.
- The Hispanic community is larger in Santa paula at 81% compared to 9% in Gallatin.
- More residents identify as two or more races in Santa paula at 13% compared to 7% in Gallatin.
- A greater percentage of American Indian residents live in Santa paula at 2% compared to 0% in Gallatin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa paula | Gallatin |
---|---|---|
Mental Health Not Good | 16.2% | 19.0% |
Physical Health Not Good | 13.5% | 13.2% |
Depression | 17.9% | 27.7% |
Smoking | 13.4% | 20.8% |
Binge Drinking | 15.6% | 14.7% |
Obesity | 31.5% | 37.2% |
Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Santa paula vs Gallatin
- In Gallatin, a higher percentage report poor mental health at 19.0% compared to 16.2% in Santa paula.
- Higher depression rates are seen in Gallatin at 27.7% versus 17.9% in Santa paula.
- Gallatin has a higher smoking rate at 20.8% compared to 13.4% in Santa paula.
- Binge drinking is more common in Santa paula at 15.6% compared to 14.7% in Gallatin.
- Gallatin has higher obesity rates at 37.2% compared to 31.5% in Santa paula.
- Disability percentages are higher in Santa paula at 12.0% compared to 11.0% in Gallatin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Santa paula | Gallatin |
---|---|---|
No Schooling | 2.9% (907) | 1.2% (596) |
High School Diploma | 12.8% (3,980) | 13.9% (6,695) |
Less than High School | 43.7% (13,547) | 11.6% (5,600) |
Bachelor's Degree and Higher | 8.6% (2,653) | 19.6% (9,464) |
Education Levels Comparison: Santa paula vs Gallatin
- A higher percentage of residents in Santa paula have no formal schooling at 2.9% compared to 1.2% in Gallatin.
- In Gallatin, the rate of residents with high school diplomas is higher at 13.9% compared to 12.8% in Santa paula.
- More residents in Santa paula have less than a high school education at 43.7% compared to 11.6% in Gallatin.
- In Gallatin, a larger share of residents have a bachelor's degree or higher at 19.6% compared to 8.6% in Santa paula.
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.