Demographics details for Pachuta, MS vs Charlotte, NC
Population Overview
Compare main population characteristics in Pachuta, MS vs Charlotte, NC.
| Data | Pachuta | Charlotte |
|---|---|---|
| Population | 199 | 897,720 |
| Median Age | 53.0 years | 34.5 years |
| Median Income | $31,964 | $74,070 |
| Married Families | 36.0% | 33.0% |
| Poverty Level | 21% | 12% |
| Unemployment Rate | 5.0 | 4.0 |
Population Comparison: Pachuta vs Charlotte
- The population in Charlotte is higher at 897,720, compared to 199 in Pachuta.
- Residents in Pachuta have a higher median age of 53.0 years compared to 34.5 years in Charlotte.
- Charlotte has a higher median income of $74,070, compared to $31,964 in Pachuta.
- A higher percentage of married families is found in Pachuta at 36.0% compared to 33.0% in Charlotte.
- Pachuta has a higher poverty level at 21% compared to 12% in Charlotte.
- The unemployment rate in Pachuta is higher at 5.0%, compared to 4.0% in Charlotte.
Demographics
Demographics Pachuta vs Charlotte provide insight into the diversity of the communities to compare.
| Demographic | Pachuta | Charlotte |
|---|---|---|
| Black | 39 | 34 |
| White | 55 | 38 |
| Asian | Data is updating | 6 |
| Hispanic | Data is updating | 15 |
| Two or More Races | 6 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pachuta vs Charlotte
- A higher percentage of Black residents are in Pachuta at 39% compared to 34% in Charlotte.
- Pachuta has a higher percentage of White residents at 55% compared to 38% in Charlotte.
- In Charlotte, the Asian population stands at 6%, greater than 0% in Pachuta.
- Charlotte has a higher percentage of Hispanic residents at 15%, compared to 0% in Pachuta.
- The percentage of residents identifying as two or more races is higher in Charlotte at 7%, compared to 6% in Pachuta.
- The percentage of American Indian residents is the same in both Pachuta and Charlotte at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pachuta | Charlotte |
|---|---|---|
| Mental Health Not Good | 19.9% | 14.7% |
| Physical Health Not Good | 15.4% | 10.1% |
| Depression | 24.7% | 20.1% |
| Smoking | 25.8% | 13.9% |
| Binge Drinking | 12.9% | 17.5% |
| Obesity | 47.3% | 34.7% |
| Disability Percentage | 36.0% | 8.0% |
Health Statistics Comparison: Pachuta vs Charlotte
- More residents in Pachuta report poor mental health at 19.9% compared to 14.7% in Charlotte.
- Depression is more prevalent in Pachuta at 24.7% compared to 20.1% in Charlotte.
- Smoking is more prevalent in Pachuta at 25.8% compared to 13.9% in Charlotte.
- More residents engage in binge drinking in Charlotte at 17.5% compared to 12.9% in Pachuta.
- Obesity rates are higher in Pachuta at 47.3% compared to 34.7% in Charlotte.
- Disability percentages are higher in Pachuta at 36.0% compared to 8.0% in Charlotte.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pachuta | Charlotte |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.2% (10,429) |
| High School Diploma | 16.1% (32) | 9.4% (84,002) |
| Less than High School | 24.6% (49) | 10.7% (95,990) |
| Bachelor's Degree and Higher | 8.0% (16) | 30.6% (274,311) |
Education Levels Comparison: Pachuta vs Charlotte
- In Charlotte, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Pachuta.
- A higher percentage of residents in Pachuta hold a high school diploma at 16.1% compared to 9.4% in Charlotte.
- More residents in Pachuta have less than a high school education at 24.6% compared to 10.7% in Charlotte.
- In Charlotte, a larger share of residents have 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.