Demographics details for Pittsburg, KS vs Tylertown, MS
Population Overview
Compare main population characteristics in Pittsburg, KS vs Tylertown, MS.
Data | Pittsburg | Tylertown |
---|---|---|
Population | 20,658 | 1,467 |
Median Age | 25.7 years | 33.9 years |
Median Income | $42,371 | $32,019 |
Married Families | 28.0% | 40.0% |
Poverty Level | 23% | 20% |
Unemployment Rate | 3.1 | 5.2 |
Population Comparison: Pittsburg vs Tylertown
- In Pittsburg, the population is higher at 20,658, compared to 1,467 in Tylertown.
- The median age in Tylertown is higher at 33.9 years, compared to 25.7 years in Pittsburg.
- Pittsburg has a higher median income of $42,371 compared to $32,019 in Tylertown.
- In Tylertown, the percentage of married families is higher at 40.0%, compared to 28.0% in Pittsburg.
- Pittsburg has a higher poverty level at 23% compared to 20% in Tylertown.
- Tylertown has a higher unemployment rate at 5.2% compared to 3.1% in Pittsburg.
Demographics
Demographics Pittsburg vs Tylertown provide insight into the diversity of the communities to compare.
Demographic | Pittsburg | Tylertown |
---|---|---|
Black | 3 | 50 |
White | 78 | 27 |
Asian | 3 | 2 |
Hispanic | 11 | 17 |
Two or More Races | 5 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsburg vs Tylertown
- In Tylertown, the percentage of Black residents is higher at 50% compared to 3% in Pittsburg.
- Pittsburg has a higher percentage of White residents at 78% compared to 27% in Tylertown.
- The Asian population is larger in Pittsburg at 3% compared to 2% in Tylertown.
- Tylertown has a higher percentage of Hispanic residents at 17%, compared to 11% in Pittsburg.
- More residents identify as two or more races in Pittsburg at 5% compared to 4% in Tylertown.
- The percentage of American Indian residents is the same in both Pittsburg and Tylertown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pittsburg | Tylertown |
---|---|---|
Mental Health Not Good | 19.3% | 18.3% |
Physical Health Not Good | 12.5% | 14.2% |
Depression | 25.0% | 22.0% |
Smoking | 23.9% | 23.1% |
Binge Drinking | 19.7% | 12.7% |
Obesity | 43.5% | 44.0% |
Disability Percentage | 16.0% | 32.0% |
Health Statistics Comparison: Pittsburg vs Tylertown
- More residents in Pittsburg report poor mental health at 19.3% compared to 18.3% in Tylertown.
- Depression is more prevalent in Pittsburg at 25.0% compared to 22.0% in Tylertown.
- Smoking is more prevalent in Pittsburg at 23.9% compared to 23.1% in Tylertown.
- Binge drinking is more common in Pittsburg at 19.7% compared to 12.7% in Tylertown.
- Tylertown has higher obesity rates at 44.0% compared to 43.5% in Pittsburg.
- There is a higher percentage of disabled individuals in Tylertown at 32.0% compared to 16.0% in Pittsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pittsburg | Tylertown |
---|---|---|
No Schooling | 0.7% (150) | 9.7% (142) |
High School Diploma | 13.0% (2,686) | 20.2% (296) |
Less than High School | 5.9% (1,222) | 27.8% (408) |
Bachelor's Degree and Higher | 17.2% (3,562) | 21.0% (308) |
Education Levels Comparison: Pittsburg vs Tylertown
- In Tylertown, a larger percentage of residents lack formal schooling at 9.7% compared to 0.7% in Pittsburg.
- In Tylertown, the rate of residents with high school diplomas is higher at 20.2% compared to 13.0% in Pittsburg.
- The percentage of residents with less than a high school education is higher in Tylertown at 27.8%, compared to 5.9% in Pittsburg.
- In Tylertown, a larger share of residents have a bachelor's degree or higher at 21.0% compared to 17.2% in Pittsburg.
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.