Demographics details for Santa clarita, CA vs Tylertown, MS
Population Overview
Compare main population characteristics in Santa clarita, CA vs Tylertown, MS.
Data | Santa clarita | Tylertown |
---|---|---|
Population | 221,345 | 1,467 |
Median Age | 37.3 years | 33.9 years |
Median Income | $116,186 | $32,019 |
Married Families | 43.0% | 40.0% |
Poverty Level | 8% | 20% |
Unemployment Rate | 5.7 | 5.2 |
Population Comparison: Santa clarita vs Tylertown
- In Santa clarita, the population is higher at 221,345, compared to 1,467 in Tylertown.
- Residents in Santa clarita have a higher median age of 37.3 years compared to 33.9 years in Tylertown.
- Santa clarita has a higher median income of $116,186 compared to $32,019 in Tylertown.
- A higher percentage of married families is found in Santa clarita at 43.0% compared to 40.0% in Tylertown.
- The poverty level is higher in Tylertown at 20%, compared to 8% in Santa clarita.
- The unemployment rate in Santa clarita is higher at 5.7%, compared to 5.2% in Tylertown.
Demographics
Demographics Santa clarita vs Tylertown provide insight into the diversity of the communities to compare.
Demographic | Santa clarita | Tylertown |
---|---|---|
Black | 4 | 50 |
White | 30 | 27 |
Asian | 11 | 2 |
Hispanic | 37 | 17 |
Two or More Races | 17 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Santa clarita vs Tylertown
- In Tylertown, the percentage of Black residents is higher at 50% compared to 4% in Santa clarita.
- Santa clarita has a higher percentage of White residents at 30% compared to 27% in Tylertown.
- The Asian population is larger in Santa clarita at 11% compared to 2% in Tylertown.
- The Hispanic community is larger in Santa clarita at 37% compared to 17% in Tylertown.
- More residents identify as two or more races in Santa clarita at 17% compared to 4% in Tylertown.
- A greater percentage of American Indian residents live in Santa clarita at 1% compared to 0% in Tylertown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa clarita | Tylertown |
---|---|---|
Mental Health Not Good | 14.7% | 18.3% |
Physical Health Not Good | 9.6% | 14.2% |
Depression | 16.8% | 22.0% |
Smoking | 9.7% | 23.1% |
Binge Drinking | 17.1% | 12.7% |
Obesity | 26.2% | 44.0% |
Disability Percentage | 10.0% | 32.0% |
Health Statistics Comparison: Santa clarita vs Tylertown
- In Tylertown, a higher percentage report poor mental health at 18.3% compared to 14.7% in Santa clarita.
- Higher depression rates are seen in Tylertown at 22.0% versus 16.8% in Santa clarita.
- Tylertown has a higher smoking rate at 23.1% compared to 9.7% in Santa clarita.
- Binge drinking is more common in Santa clarita at 17.1% compared to 12.7% in Tylertown.
- Tylertown has higher obesity rates at 44.0% compared to 26.2% in Santa clarita.
- There is a higher percentage of disabled individuals in Tylertown at 32.0% compared to 10.0% in Santa clarita.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Santa clarita | Tylertown |
---|---|---|
No Schooling | 1.4% (3,097) | 9.7% (142) |
High School Diploma | 10.7% (23,725) | 20.2% (296) |
Less than High School | 11.7% (25,882) | 27.8% (408) |
Bachelor's Degree and Higher | 26.1% (57,684) | 21.0% (308) |
Education Levels Comparison: Santa clarita vs Tylertown
- In Tylertown, a larger percentage of residents lack formal schooling at 9.7% compared to 1.4% in Santa clarita.
- In Tylertown, the rate of residents with high school diplomas is higher at 20.2% compared to 10.7% in Santa clarita.
- The percentage of residents with less than a high school education is higher in Tylertown at 27.8%, compared to 11.7% in Santa clarita.
- A higher percentage of residents in Santa clarita hold a bachelor's degree or higher at 26.1% compared to 21.0% in Tylertown.
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.