Demographics details for Aiken, SC vs Pachuta, MS
Population Overview
Compare main population characteristics in Aiken, SC vs Pachuta, MS.
| Data | Aiken | Pachuta |
|---|---|---|
| Population | 32,463 | 199 |
| Median Age | 46.4 years | 53.0 years |
| Median Income | $65,712 | $31,964 |
| Married Families | 38.0% | 36.0% |
| Poverty Level | 12% | 21% |
| Unemployment Rate | 5.2 | 5.0 |
Population Comparison: Aiken vs Pachuta
- In Aiken, the population is higher at 32,463, compared to 199 in Pachuta.
- The median age in Pachuta is higher at 53.0 years, compared to 46.4 years in Aiken.
- Aiken has a higher median income of $65,712 compared to $31,964 in Pachuta.
- A higher percentage of married families is found in Aiken at 38.0% compared to 36.0% in Pachuta.
- The poverty level is higher in Pachuta at 21%, compared to 12% in Aiken.
- The unemployment rate in Aiken is higher at 5.2%, compared to 5.0% in Pachuta.
Demographics
Demographics Aiken vs Pachuta provide insight into the diversity of the communities to compare.
| Demographic | Aiken | Pachuta |
|---|---|---|
| Black | 36 | 39 |
| White | 56 | 55 |
| Asian | 2 | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Aiken vs Pachuta
- In Pachuta, the percentage of Black residents is higher at 39% compared to 36% in Aiken.
- Aiken has a higher percentage of White residents at 56% compared to 55% in Pachuta.
- The Asian population is larger in Aiken at 2% compared to 0% in Pachuta.
- The Hispanic community is larger in Aiken at 3% compared to 0% in Pachuta.
- The percentage of residents identifying as two or more races is higher in Pachuta at 6%, compared to 3% in Aiken.
- The percentage of American Indian residents is the same in both Aiken and Pachuta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Aiken | Pachuta |
|---|---|---|
| Mental Health Not Good | 16.6% | 19.9% |
| Physical Health Not Good | 11.0% | 15.4% |
| Depression | 20.3% | 24.7% |
| Smoking | 15.5% | 25.8% |
| Binge Drinking | 16.5% | 12.9% |
| Obesity | 35.7% | 47.3% |
| Disability Percentage | 12.0% | 36.0% |
Health Statistics Comparison: Aiken vs Pachuta
- In Pachuta, a higher percentage report poor mental health at 19.9% compared to 16.6% in Aiken.
- Higher depression rates are seen in Pachuta at 24.7% versus 20.3% in Aiken.
- Pachuta has a higher smoking rate at 25.8% compared to 15.5% in Aiken.
- Binge drinking is more common in Aiken at 16.5% compared to 12.9% in Pachuta.
- Pachuta has higher obesity rates at 47.3% compared to 35.7% in Aiken.
- There is a higher percentage of disabled individuals in Pachuta at 36.0% compared to 12.0% in Aiken.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Aiken | Pachuta |
|---|---|---|
| No Schooling | 0.5% (150) | 0.0% (Data is updating) |
| High School Diploma | 14.3% (4,646) | 16.1% (32) |
| Less than High School | 7.3% (2,369) | 24.6% (49) |
| Bachelor's Degree and Higher | 30.6% (9,923) | 8.0% (16) |
Education Levels Comparison: Aiken vs Pachuta
- A higher percentage of residents in Aiken have no formal schooling at 0.5% compared to 0.0% in Pachuta.
- In Pachuta, the rate of residents with high school diplomas is higher at 16.1% compared to 14.3% in Aiken.
- The percentage of residents with less than a high school education is higher in Pachuta at 24.6%, compared to 7.3% in Aiken.
- A higher percentage of residents in Aiken hold a bachelor's degree or higher at 30.6% 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.