Demographics details for Pachuta, MS vs Watertown, MA
Population Overview
Compare main population characteristics in Pachuta, MS vs Watertown, MA.
| Data | Pachuta | Watertown |
|---|---|---|
| Population | 199 | 35,022 |
| Median Age | 53.0 years | 38.2 years |
| Median Income | $31,964 | $117,625 |
| Married Families | 36.0% | 42.0% |
| Poverty Level | 21% | 5% |
| Unemployment Rate | 5.0 | 3.4 |
Population Comparison: Pachuta vs Watertown
- The population in Watertown is higher at 35,022, compared to 199 in Pachuta.
- Residents in Pachuta have a higher median age of 53.0 years compared to 38.2 years in Watertown.
- Watertown has a higher median income of $117,625, compared to $31,964 in Pachuta.
- In Watertown, the percentage of married families is higher at 42.0%, compared to 36.0% in Pachuta.
- Pachuta has a higher poverty level at 21% compared to 5% in Watertown.
- The unemployment rate in Pachuta is higher at 5.0%, compared to 3.4% in Watertown.
Demographics
Demographics Pachuta vs Watertown provide insight into the diversity of the communities to compare.
| Demographic | Pachuta | Watertown |
|---|---|---|
| Black | 39 | 4 |
| White | 55 | 70 |
| Asian | Data is updating | 12 |
| Hispanic | Data is updating | 7 |
| Two or More Races | 6 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pachuta vs Watertown
- A higher percentage of Black residents are in Pachuta at 39% compared to 4% in Watertown.
- The percentage of White residents is higher in Watertown at 70% compared to 55% in Pachuta.
- In Watertown, the Asian population stands at 12%, greater than 0% in Pachuta.
- Watertown has a higher percentage of Hispanic residents at 7%, compared to 0% in Pachuta.
- The percentage of residents identifying as two or more races is higher in Watertown at 7%, compared to 6% in Pachuta.
- The percentage of American Indian residents is the same in both Pachuta and Watertown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pachuta | Watertown |
|---|---|---|
| Mental Health Not Good | 19.9% | 13.1% |
| Physical Health Not Good | 15.4% | 7.7% |
| Depression | 24.7% | 20.6% |
| Smoking | 25.8% | 8.6% |
| Binge Drinking | 12.9% | 19.3% |
| Obesity | 47.3% | 23.1% |
| Disability Percentage | 36.0% | 12.0% |
Health Statistics Comparison: Pachuta vs Watertown
- More residents in Pachuta report poor mental health at 19.9% compared to 13.1% in Watertown.
- Depression is more prevalent in Pachuta at 24.7% compared to 20.6% in Watertown.
- Smoking is more prevalent in Pachuta at 25.8% compared to 8.6% in Watertown.
- More residents engage in binge drinking in Watertown at 19.3% compared to 12.9% in Pachuta.
- Obesity rates are higher in Pachuta at 47.3% compared to 23.1% in Watertown.
- Disability percentages are higher in Pachuta at 36.0% compared to 12.0% in Watertown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pachuta | Watertown |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (331) |
| High School Diploma | 16.1% (32) | 10.7% (3,731) |
| Less than High School | 24.6% (49) | 6.9% (2,426) |
| Bachelor's Degree and Higher | 8.0% (16) | 52.6% (18,420) |
Education Levels Comparison: Pachuta vs Watertown
- In Watertown, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Pachuta.
- A higher percentage of residents in Pachuta hold a high school diploma at 16.1% compared to 10.7% in Watertown.
- More residents in Pachuta have less than a high school education at 24.6% compared to 6.9% in Watertown.
- In Watertown, a larger share of residents have a bachelor's degree or higher at 52.6% 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.