Demographics details for Tylertown, MS vs Stuttgart, AR
Population Overview
Compare main population characteristics in Tylertown, MS vs Stuttgart, AR.
| Data | Tylertown | Stuttgart |
|---|---|---|
| Population | 1,467 | 7,907 |
| Median Age | 33.9 years | 37.8 years |
| Median Income | $32,019 | $59,124 |
| Married Families | 40.0% | 39.0% |
| Poverty Level | 20% | 18% |
| Unemployment Rate | 5.2 | 4.2 |
Population Comparison: Tylertown vs Stuttgart
- The population in Stuttgart is higher at 7,907, compared to 1,467 in Tylertown.
- The median age in Stuttgart is higher at 37.8 years, compared to 33.9 years in Tylertown.
- Stuttgart has a higher median income of $59,124, compared to $32,019 in Tylertown.
- A higher percentage of married families is found in Tylertown at 40.0% compared to 39.0% in Stuttgart.
- Tylertown has a higher poverty level at 20% compared to 18% in Stuttgart.
- The unemployment rate in Tylertown is higher at 5.2%, compared to 4.2% in Stuttgart.
Demographics
Demographics Tylertown vs Stuttgart provide insight into the diversity of the communities to compare.
| Demographic | Tylertown | Stuttgart |
|---|---|---|
| Black | 50 | 42 |
| White | 27 | 53 |
| Asian | 2 | Data is updating |
| Hispanic | 17 | 2 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tylertown vs Stuttgart
- A higher percentage of Black residents are in Tylertown at 50% compared to 42% in Stuttgart.
- The percentage of White residents is higher in Stuttgart at 53% compared to 27% in Tylertown.
- The Asian population is larger in Tylertown at 2% compared to 0% in Stuttgart.
- The Hispanic community is larger in Tylertown at 17% compared to 2% in Stuttgart.
- More residents identify as two or more races in Tylertown at 4% compared to 3% in Stuttgart.
- The percentage of American Indian residents is the same in both Tylertown and Stuttgart at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tylertown | Stuttgart |
|---|---|---|
| Mental Health Not Good | 18.3% | 19.8% |
| Physical Health Not Good | 14.2% | 14.6% |
| Depression | 22.0% | 24.4% |
| Smoking | 23.1% | 23.1% |
| Binge Drinking | 12.7% | 13.6% |
| Obesity | 44.0% | 39.7% |
| Disability Percentage | 32.0% | 20.0% |
Health Statistics Comparison: Tylertown vs Stuttgart
- In Stuttgart, a higher percentage report poor mental health at 19.8% compared to 18.3% in Tylertown.
- Higher depression rates are seen in Stuttgart at 24.4% versus 22.0% in Tylertown.
- Smoking rates are the same in both Tylertown and Stuttgart at 23.1%.
- More residents engage in binge drinking in Stuttgart at 13.6% compared to 12.7% in Tylertown.
- Obesity rates are higher in Tylertown at 44.0% compared to 39.7% in Stuttgart.
- Disability percentages are higher in Tylertown at 32.0% compared to 20.0% in Stuttgart.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tylertown | Stuttgart |
|---|---|---|
| No Schooling | 9.7% (142) | 0.8% (63) |
| High School Diploma | 20.2% (296) | 25.5% (2,015) |
| Less than High School | 27.8% (408) | 14.5% (1,144) |
| Bachelor's Degree and Higher | 21.0% (308) | 12.0% (948) |
Education Levels Comparison: Tylertown vs Stuttgart
- A higher percentage of residents in Tylertown have no formal schooling at 9.7% compared to 0.8% in Stuttgart.
- In Stuttgart, the rate of residents with high school diplomas is higher at 25.5% compared to 20.2% in Tylertown.
- More residents in Tylertown have less than a high school education at 27.8% compared to 14.5% in Stuttgart.
- A higher percentage of residents in Tylertown hold a bachelor's degree or higher at 21.0% compared to 12.0% in Stuttgart.
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.