Demographics details for Picayune, MS vs Rushville, NE
Population Overview
Compare main population characteristics in Picayune, MS vs Rushville, NE.
Data | Picayune | Rushville |
---|---|---|
Population | 11,826 | 799 |
Median Age | 38.3 years | 42.6 years |
Median Income | $35,649 | $47,180 |
Married Families | 27.0% | 45.0% |
Poverty Level | 21% | 10% |
Unemployment Rate | 4.5 | 2.5 |
Population Comparison: Picayune vs Rushville
- In Picayune, the population is higher at 11,826, compared to 799 in Rushville.
- The median age in Rushville is higher at 42.6 years, compared to 38.3 years in Picayune.
- Rushville has a higher median income of $47,180, compared to $35,649 in Picayune.
- In Rushville, the percentage of married families is higher at 45.0%, compared to 27.0% in Picayune.
- Picayune has a higher poverty level at 21% compared to 10% in Rushville.
- The unemployment rate in Picayune is higher at 4.5%, compared to 2.5% in Rushville.
Demographics
Demographics Picayune vs Rushville provide insight into the diversity of the communities to compare.
Demographic | Picayune | Rushville |
---|---|---|
Black | 38 | Data is updating |
White | 55 | 50 |
Asian | Data is updating | 2 |
Hispanic | 2 | 14 |
Two or More Races | 5 | 10 |
American Indian | Data is updating | 24 |
Demographics Comparison: Picayune vs Rushville
- A higher percentage of Black residents are in Picayune at 38% compared to 0% in Rushville.
- Picayune has a higher percentage of White residents at 55% compared to 50% in Rushville.
- In Rushville, the Asian population stands at 2%, greater than 0% in Picayune.
- Rushville has a higher percentage of Hispanic residents at 14%, compared to 2% in Picayune.
- The percentage of residents identifying as two or more races is higher in Rushville at 10%, compared to 5% in Picayune.
- In Rushville, the percentage of American Indian residents is higher at 24%, compared to 0% in Picayune.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Picayune | Rushville |
---|---|---|
Mental Health Not Good | 18.4% | 14.9% |
Physical Health Not Good | 14.3% | 10.5% |
Depression | 24.0% | 18.0% |
Smoking | 23.3% | 19.3% |
Binge Drinking | 13.3% | 21.0% |
Obesity | 44.0% | 44.1% |
Disability Percentage | 21.0% | 31.0% |
Health Statistics Comparison: Picayune vs Rushville
- More residents in Picayune report poor mental health at 18.4% compared to 14.9% in Rushville.
- Depression is more prevalent in Picayune at 24.0% compared to 18.0% in Rushville.
- Smoking is more prevalent in Picayune at 23.3% compared to 19.3% in Rushville.
- More residents engage in binge drinking in Rushville at 21.0% compared to 13.3% in Picayune.
- Rushville has higher obesity rates at 44.1% compared to 44.0% in Picayune.
- There is a higher percentage of disabled individuals in Rushville at 31.0% compared to 21.0% in Picayune.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Picayune | Rushville |
---|---|---|
No Schooling | 0.6% (73) | 0.4% (3) |
High School Diploma | 17.8% (2,108) | 23.7% (189) |
Less than High School | 11.8% (1,392) | 17.3% (138) |
Bachelor's Degree and Higher | 10.1% (1,200) | 21.9% (175) |
Education Levels Comparison: Picayune vs Rushville
- A higher percentage of residents in Picayune have no formal schooling at 0.6% compared to 0.4% in Rushville.
- In Rushville, the rate of residents with high school diplomas is higher at 23.7% compared to 17.8% in Picayune.
- The percentage of residents with less than a high school education is higher in Rushville at 17.3%, compared to 11.8% in Picayune.
- In Rushville, a larger share of residents have a bachelor's degree or higher at 21.9% compared to 10.1% in Picayune.
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.