Demographics details for Tylertown, MS vs Columbia, MO
Population Overview
Compare main population characteristics in Tylertown, MS vs Columbia, MO.
| Data | Tylertown | Columbia |
|---|---|---|
| Population | 1,467 | 128,555 |
| Median Age | 33.9 years | 28.8 years |
| Median Income | $32,019 | $60,455 |
| Married Families | 40.0% | 32.0% |
| Poverty Level | 20% | 19% |
| Unemployment Rate | 5.2 | 3.8 |
Population Comparison: Tylertown vs Columbia
- The population in Columbia is higher at 128,555, compared to 1,467 in Tylertown.
- Residents in Tylertown have a higher median age of 33.9 years compared to 28.8 years in Columbia.
- Columbia has a higher median income of $60,455, compared to $32,019 in Tylertown.
- A higher percentage of married families is found in Tylertown at 40.0% compared to 32.0% in Columbia.
- Tylertown has a higher poverty level at 20% compared to 19% in Columbia.
- The unemployment rate in Tylertown is higher at 5.2%, compared to 3.8% in Columbia.
Demographics
Demographics Tylertown vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Tylertown | Columbia |
|---|---|---|
| Black | 50 | 11 |
| White | 27 | 73 |
| Asian | 2 | 6 |
| Hispanic | 17 | 4 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tylertown vs Columbia
- A higher percentage of Black residents are in Tylertown at 50% compared to 11% in Columbia.
- The percentage of White residents is higher in Columbia at 73% compared to 27% in Tylertown.
- In Columbia, the Asian population stands at 6%, greater than 2% in Tylertown.
- The Hispanic community is larger in Tylertown at 17% compared to 4% in Columbia.
- The percentage of residents identifying as two or more races is higher in Columbia at 6%, compared to 4% in Tylertown.
- The percentage of American Indian residents is the same in both Tylertown and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tylertown | Columbia |
|---|---|---|
| Mental Health Not Good | 18.3% | 16.7% |
| Physical Health Not Good | 14.2% | 11.4% |
| Depression | 22.0% | 25.3% |
| Smoking | 23.1% | 16.3% |
| Binge Drinking | 12.7% | 17.7% |
| Obesity | 44.0% | 33.5% |
| Disability Percentage | 32.0% | 11.0% |
Health Statistics Comparison: Tylertown vs Columbia
- More residents in Tylertown report poor mental health at 18.3% compared to 16.7% in Columbia.
- Higher depression rates are seen in Columbia at 25.3% versus 22.0% in Tylertown.
- Smoking is more prevalent in Tylertown at 23.1% compared to 16.3% in Columbia.
- More residents engage in binge drinking in Columbia at 17.7% compared to 12.7% in Tylertown.
- Obesity rates are higher in Tylertown at 44.0% compared to 33.5% in Columbia.
- Disability percentages are higher in Tylertown at 32.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tylertown | Columbia |
|---|---|---|
| No Schooling | 9.7% (142) | 0.7% (845) |
| High School Diploma | 20.2% (296) | 7.8% (9,965) |
| Less than High School | 27.8% (408) | 4.2% (5,383) |
| Bachelor's Degree and Higher | 21.0% (308) | 30.5% (39,270) |
Education Levels Comparison: Tylertown vs Columbia
- A higher percentage of residents in Tylertown have no formal schooling at 9.7% compared to 0.7% in Columbia.
- A higher percentage of residents in Tylertown hold a high school diploma at 20.2% compared to 7.8% in Columbia.
- More residents in Tylertown have less than a high school education at 27.8% compared to 4.2% in Columbia.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 30.5% 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.