Demographics details for Pachuta, MS vs Spring city, PA
Population Overview
Compare main population characteristics in Pachuta, MS vs Spring city, PA.
| Data | Pachuta | Spring city |
|---|---|---|
| Population | 199 | 3,495 |
| Median Age | 53.0 years | 36.7 years |
| Median Income | $31,964 | $70,181 |
| Married Families | 36.0% | 30.0% |
| Poverty Level | 21% | 5% |
| Unemployment Rate | 5.0 | 2.5 |
Population Comparison: Pachuta vs Spring city
- The population in Spring city is higher at 3,495, compared to 199 in Pachuta.
- Residents in Pachuta have a higher median age of 53.0 years compared to 36.7 years in Spring city.
- Spring city has a higher median income of $70,181, compared to $31,964 in Pachuta.
- A higher percentage of married families is found in Pachuta at 36.0% compared to 30.0% in Spring city.
- Pachuta has a higher poverty level at 21% compared to 5% in Spring city.
- The unemployment rate in Pachuta is higher at 5.0%, compared to 2.5% in Spring city.
Demographics
Demographics Pachuta vs Spring city provide insight into the diversity of the communities to compare.
| Demographic | Pachuta | Spring city |
|---|---|---|
| Black | 39 | 4 |
| White | 55 | 85 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 6 |
| Two or More Races | 6 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pachuta vs Spring city
- A higher percentage of Black residents are in Pachuta at 39% compared to 4% in Spring city.
- The percentage of White residents is higher in Spring city at 85% compared to 55% in Pachuta.
- In Spring city, the Asian population stands at 2%, greater than 0% in Pachuta.
- Spring city has a higher percentage of Hispanic residents at 6%, compared to 0% in Pachuta.
- More residents identify as two or more races in Pachuta at 6% compared to 3% in Spring city.
- The percentage of American Indian residents is the same in both Pachuta and Spring city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pachuta | Spring city |
|---|---|---|
| Mental Health Not Good | 19.9% | 15.8% |
| Physical Health Not Good | 15.4% | 10.8% |
| Depression | 24.7% | 23.0% |
| Smoking | 25.8% | 16.9% |
| Binge Drinking | 12.9% | 18.9% |
| Obesity | 47.3% | 34.8% |
| Disability Percentage | 36.0% | 20.0% |
Health Statistics Comparison: Pachuta vs Spring city
- More residents in Pachuta report poor mental health at 19.9% compared to 15.8% in Spring city.
- Depression is more prevalent in Pachuta at 24.7% compared to 23.0% in Spring city.
- Smoking is more prevalent in Pachuta at 25.8% compared to 16.9% in Spring city.
- More residents engage in binge drinking in Spring city at 18.9% compared to 12.9% in Pachuta.
- Obesity rates are higher in Pachuta at 47.3% compared to 34.8% in Spring city.
- Disability percentages are higher in Pachuta at 36.0% compared to 20.0% in Spring city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pachuta | Spring city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (34) |
| High School Diploma | 16.1% (32) | 17.5% (613) |
| Less than High School | 24.6% (49) | 8.8% (309) |
| Bachelor's Degree and Higher | 8.0% (16) | 28.0% (980) |
Education Levels Comparison: Pachuta vs Spring city
- In Spring city, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Pachuta.
- In Spring city, the rate of residents with high school diplomas is higher at 17.5% compared to 16.1% in Pachuta.
- More residents in Pachuta have less than a high school education at 24.6% compared to 8.8% in Spring city.
- In Spring city, a larger share of residents have a bachelor's degree or higher at 28.0% compared to 8.0% in Pachuta.
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.