Demographics details for Tylertown, MS vs Chester, MA
Population Overview
Compare main population characteristics in Tylertown, MS vs Chester, MA.
Data | Tylertown | Chester |
---|---|---|
Population | 1,467 | 1,337 |
Median Age | 33.9 years | 41.0 years |
Median Income | $32,019 | $78,889 |
Married Families | 40.0% | 64.0% |
Poverty Level | 20% | 4% |
Unemployment Rate | 5.2 | 3.3 |
Population Comparison: Tylertown vs Chester
- In Tylertown, the population is higher at 1,467, compared to 1,337 in Chester.
- The median age in Chester is higher at 41.0 years, compared to 33.9 years in Tylertown.
- Chester has a higher median income of $78,889, compared to $32,019 in Tylertown.
- In Chester, the percentage of married families is higher at 64.0%, compared to 40.0% in Tylertown.
- Tylertown has a higher poverty level at 20% compared to 4% in Chester.
- The unemployment rate in Tylertown is higher at 5.2%, compared to 3.3% in Chester.
Demographics
Demographics Tylertown vs Chester provide insight into the diversity of the communities to compare.
Demographic | Tylertown | Chester |
---|---|---|
Black | 50 | Data is updating |
White | 27 | 100 |
Asian | 2 | Data is updating |
Hispanic | 17 | Data is updating |
Two or More Races | 4 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Tylertown vs Chester
- A higher percentage of Black residents are in Tylertown at 50% compared to 0% in Chester.
- The percentage of White residents is higher in Chester at 100% compared to 27% in Tylertown.
- The Asian population is larger in Tylertown at 2% compared to 0% in Chester.
- The Hispanic community is larger in Tylertown at 17% compared to 0% in Chester.
- More residents identify as two or more races in Tylertown at 4% compared to 0% in Chester.
- The percentage of American Indian residents is the same in both Tylertown and Chester at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Tylertown | Chester |
---|---|---|
Mental Health Not Good | 18.3% | Data is updating% |
Physical Health Not Good | 14.2% | Data is updating% |
Depression | 22.0% | Data is updating% |
Smoking | 23.1% | Data is updating% |
Binge Drinking | 12.7% | Data is updating% |
Obesity | 44.0% | Data is updating% |
Disability Percentage | 32.0% | Data is updating% |
Health Statistics Comparison: Tylertown vs Chester
- More residents in Tylertown report poor mental health at 18.3% compared to 0.0% in Chester.
- Depression is more prevalent in Tylertown at 22.0% compared to 0.0% in Chester.
- Smoking is more prevalent in Tylertown at 23.1% compared to 0.0% in Chester.
- Binge drinking is more common in Tylertown at 12.7% compared to 0.0% in Chester.
- Obesity rates are higher in Tylertown at 44.0% compared to 0.0% in Chester.
- Disability percentages are higher in Tylertown at 32.0% compared to 0.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Tylertown | Chester |
---|---|---|
No Schooling | 9.7% (142) | 0.0% (Data is updating) |
High School Diploma | 20.2% (296) | 0.0% (Data is updating) |
Less than High School | 27.8% (408) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 21.0% (308) | 0.0% (Data is updating) |
Education Levels Comparison: Tylertown vs Chester
- A higher percentage of residents in Tylertown have no formal schooling at 9.7% compared to 0.0% in Chester.
- A higher percentage of residents in Tylertown hold a high school diploma at 20.2% compared to 0.0% in Chester.
- More residents in Tylertown have less than a high school education at 27.8% compared to 0.0% in Chester.
- A higher percentage of residents in Tylertown hold a bachelor's degree or higher at 21.0% compared to 0.0% in Chester.
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.