Demographics details for Palestine, TX vs Scott city, MO
Population Overview
Compare main population characteristics in Palestine, TX vs Scott city, MO.
| Data | Palestine | Scott city |
|---|---|---|
| Population | 18,981 | 4,350 |
| Median Age | 33.1 years | 40.1 years |
| Median Income | $43,759 | $57,771 |
| Married Families | 36.0% | 43.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Palestine vs Scott city
- In Palestine, the population is higher at 18,981, compared to 4,350 in Scott city.
- The median age in Scott city is higher at 40.1 years, compared to 33.1 years in Palestine.
- Scott city has a higher median income of $57,771, compared to $43,759 in Palestine.
- In Scott city, the percentage of married families is higher at 43.0%, compared to 36.0% in Palestine.
- Palestine has a higher poverty level at 12% compared to 9% in Scott city.
- The unemployment rate in Palestine is higher at 4.1%, compared to 3.2% in Scott city.
Demographics
Demographics Palestine vs Scott city provide insight into the diversity of the communities to compare.
| Demographic | Palestine | Scott city |
|---|---|---|
| Black | 28 | Data is updating |
| White | 37 | 92 |
| Asian | Data is updating | Data is updating |
| Hispanic | 23 | 3 |
| Two or More Races | 12 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Palestine vs Scott city
- A higher percentage of Black residents are in Palestine at 28% compared to 0% in Scott city.
- The percentage of White residents is higher in Scott city at 92% compared to 37% in Palestine.
- Both Palestine and Scott city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Palestine at 23% compared to 3% in Scott city.
- More residents identify as two or more races in Palestine at 12% compared to 5% in Scott city.
- The percentage of American Indian residents is the same in both Palestine and Scott city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palestine | Scott city |
|---|---|---|
| Mental Health Not Good | 20.1% | 20.9% |
| Physical Health Not Good | 14.9% | 15.5% |
| Depression | 24.7% | 27.3% |
| Smoking | 22.9% | 26.0% |
| Binge Drinking | 16.1% | 17.0% |
| Obesity | 44.1% | 37.0% |
| Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Palestine vs Scott city
- In Scott city, a higher percentage report poor mental health at 20.9% compared to 20.1% in Palestine.
- Higher depression rates are seen in Scott city at 27.3% versus 24.7% in Palestine.
- Scott city has a higher smoking rate at 26.0% compared to 22.9% in Palestine.
- More residents engage in binge drinking in Scott city at 17.0% compared to 16.1% in Palestine.
- Obesity rates are higher in Palestine at 44.1% compared to 37.0% in Scott city.
- There is a higher percentage of disabled individuals in Scott city at 16.0% compared to 15.0% in Palestine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Palestine | Scott city |
|---|---|---|
| No Schooling | 1.7% (323) | 0.4% (18) |
| High School Diploma | 18.3% (3,466) | 20.4% (886) |
| Less than High School | 11.8% (2,233) | 23.8% (1,035) |
| Bachelor's Degree and Higher | 10.0% (1,897) | 10.9% (474) |
Education Levels Comparison: Palestine vs Scott city
- A higher percentage of residents in Palestine have no formal schooling at 1.7% compared to 0.4% in Scott city.
- In Scott city, the rate of residents with high school diplomas is higher at 20.4% compared to 18.3% in Palestine.
- The percentage of residents with less than a high school education is higher in Scott city at 23.8%, compared to 11.8% in Palestine.
- In Scott city, a larger share of residents have a bachelor's degree or higher at 10.9% compared to 10.0% in Palestine.
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.