Demographics details for Pachuta, MS vs Fort smith, AR
Population Overview
Compare main population characteristics in Pachuta, MS vs Fort smith, AR.
| Data | Pachuta | Fort smith |
|---|---|---|
| Population | 199 | 89,992 |
| Median Age | 53.0 years | 36.4 years |
| Median Income | $31,964 | $50,799 |
| Married Families | 36.0% | 36.0% |
| Poverty Level | 21% | 12% |
| Unemployment Rate | 5.0 | 3.7 |
Population Comparison: Pachuta vs Fort smith
- The population in Fort smith is higher at 89,992, compared to 199 in Pachuta.
- Residents in Pachuta have a higher median age of 53.0 years compared to 36.4 years in Fort smith.
- Fort smith has a higher median income of $50,799, compared to $31,964 in Pachuta.
- The percentage of married families is the same in both Pachuta and Fort smith at 36.0%.
- Pachuta has a higher poverty level at 21% compared to 12% in Fort smith.
- The unemployment rate in Pachuta is higher at 5.0%, compared to 3.7% in Fort smith.
Demographics
Demographics Pachuta vs Fort smith provide insight into the diversity of the communities to compare.
| Demographic | Pachuta | Fort smith |
|---|---|---|
| Black | 39 | 8 |
| White | 55 | 57 |
| Asian | Data is updating | 6 |
| Hispanic | Data is updating | 19 |
| Two or More Races | 6 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pachuta vs Fort smith
- A higher percentage of Black residents are in Pachuta at 39% compared to 8% in Fort smith.
- The percentage of White residents is higher in Fort smith at 57% compared to 55% in Pachuta.
- In Fort smith, the Asian population stands at 6%, greater than 0% in Pachuta.
- Fort smith has a higher percentage of Hispanic residents at 19%, compared to 0% in Pachuta.
- The percentage of residents identifying as two or more races is higher in Fort smith at 9%, compared to 6% in Pachuta.
- In Fort smith, the percentage of American Indian residents is higher at 1%, compared to 0% in Pachuta.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pachuta | Fort smith |
|---|---|---|
| Mental Health Not Good | 19.9% | 19.6% |
| Physical Health Not Good | 15.4% | 14.7% |
| Depression | 24.7% | 27.8% |
| Smoking | 25.8% | 21.8% |
| Binge Drinking | 12.9% | 13.2% |
| Obesity | 47.3% | 39.5% |
| Disability Percentage | 36.0% | 20.0% |
Health Statistics Comparison: Pachuta vs Fort smith
- More residents in Pachuta report poor mental health at 19.9% compared to 19.6% in Fort smith.
- Higher depression rates are seen in Fort smith at 27.8% versus 24.7% in Pachuta.
- Smoking is more prevalent in Pachuta at 25.8% compared to 21.8% in Fort smith.
- More residents engage in binge drinking in Fort smith at 13.2% compared to 12.9% in Pachuta.
- Obesity rates are higher in Pachuta at 47.3% compared to 39.5% in Fort smith.
- Disability percentages are higher in Pachuta at 36.0% compared to 20.0% in Fort smith.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pachuta | Fort smith |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.3% (2,029) |
| High School Diploma | 16.1% (32) | 14.8% (13,356) |
| Less than High School | 24.6% (49) | 19.8% (17,822) |
| Bachelor's Degree and Higher | 8.0% (16) | 16.4% (14,745) |
Education Levels Comparison: Pachuta vs Fort smith
- In Fort smith, a larger percentage of residents lack formal schooling at 2.3% compared to 0.0% in Pachuta.
- A higher percentage of residents in Pachuta hold a high school diploma at 16.1% compared to 14.8% in Fort smith.
- More residents in Pachuta have less than a high school education at 24.6% compared to 19.8% in Fort smith.
- In Fort smith, a larger share of residents have a bachelor's degree or higher at 16.4% 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.