Demographics details for Pachuta, MS vs Henryville, IN
Population Overview
Compare main population characteristics in Pachuta, MS vs Henryville, IN.
Data | Pachuta | Henryville |
---|---|---|
Population | 199 | 1,837 |
Median Age | 53.0 years | 36.3 years |
Median Income | $31,964 | $72,768 |
Married Families | 36.0% | 42.0% |
Poverty Level | 21% | 9% |
Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Pachuta vs Henryville
- The population in Henryville is higher at 1,837, compared to 199 in Pachuta.
- Residents in Pachuta have a higher median age of 53.0 years compared to 36.3 years in Henryville.
- Henryville has a higher median income of $72,768, compared to $31,964 in Pachuta.
- In Henryville, 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 9% in Henryville.
- The unemployment rate in Pachuta is higher at 5.0%, compared to 3.2% in Henryville.
Demographics
Demographics Pachuta vs Henryville provide insight into the diversity of the communities to compare.
Demographic | Pachuta | Henryville |
---|---|---|
Black | 39 | Data is updating |
White | 55 | 95 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 4 |
Two or More Races | 6 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pachuta vs Henryville
- A higher percentage of Black residents are in Pachuta at 39% compared to 0% in Henryville.
- The percentage of White residents is higher in Henryville at 95% compared to 55% in Pachuta.
- Both Pachuta and Henryville have the same percentage of Asian residents at 0%.
- Henryville has a higher percentage of Hispanic residents at 4%, compared to 0% in Pachuta.
- More residents identify as two or more races in Pachuta at 6% compared to 1% in Henryville.
- The percentage of American Indian residents is the same in both Pachuta and Henryville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pachuta | Henryville |
---|---|---|
Mental Health Not Good | 19.9% | 17.0% |
Physical Health Not Good | 15.4% | 11.1% |
Depression | 24.7% | 24.4% |
Smoking | 25.8% | 19.6% |
Binge Drinking | 12.9% | 18.3% |
Obesity | 47.3% | 37.7% |
Disability Percentage | 36.0% | 19.0% |
Health Statistics Comparison: Pachuta vs Henryville
- More residents in Pachuta report poor mental health at 19.9% compared to 17.0% in Henryville.
- Depression is more prevalent in Pachuta at 24.7% compared to 24.4% in Henryville.
- Smoking is more prevalent in Pachuta at 25.8% compared to 19.6% in Henryville.
- More residents engage in binge drinking in Henryville at 18.3% compared to 12.9% in Pachuta.
- Obesity rates are higher in Pachuta at 47.3% compared to 37.7% in Henryville.
- Disability percentages are higher in Pachuta at 36.0% compared to 19.0% in Henryville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pachuta | Henryville |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 16.1% (32) | 20.3% (372) |
Less than High School | 24.6% (49) | 25.9% (476) |
Bachelor's Degree and Higher | 8.0% (16) | 8.9% (163) |
Education Levels Comparison: Pachuta vs Henryville
- The percentage of residents with no formal schooling is the same in both Pachuta and Henryville at 0.0%.
- In Henryville, the rate of residents with high school diplomas is higher at 20.3% compared to 16.1% in Pachuta.
- The percentage of residents with less than a high school education is higher in Henryville at 25.9%, compared to 24.6% in Pachuta.
- In Henryville, a larger share of residents have a bachelor's degree or higher at 8.9% 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.