Demographics details for Prairie farm, WI vs Crescent, PA
Population Overview
Compare main population characteristics in Prairie farm, WI vs Crescent, PA.
Data | Prairie farm | Crescent |
---|---|---|
Population | 498 | 2,455 |
Median Age | 47.9 years | 50.8 years |
Median Income | $55,192 | $76,116 |
Married Families | 45.0% | 49.0% |
Poverty Level | 10% | 4% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Prairie farm vs Crescent
- The population in Crescent is higher at 2,455, compared to 498 in Prairie farm.
- The median age in Crescent is higher at 50.8 years, compared to 47.9 years in Prairie farm.
- Crescent has a higher median income of $76,116, compared to $55,192 in Prairie farm.
- In Crescent, the percentage of married families is higher at 49.0%, compared to 45.0% in Prairie farm.
- Prairie farm has a higher poverty level at 10% compared to 4% in Crescent.
- The unemployment rate is the same in both Prairie farm and Crescent at 3.5%.
Demographics
Demographics Prairie farm vs Crescent provide insight into the diversity of the communities to compare.
Demographic | Prairie farm | Crescent |
---|---|---|
Black | Data is updating | 1 |
White | 96 | 92 |
Asian | Data is updating | 3 |
Hispanic | 2 | 3 |
Two or More Races | 1 | 1 |
American Indian | 1 | Data is updating |
Demographics Comparison: Prairie farm vs Crescent
- In Crescent, the percentage of Black residents is higher at 1% compared to 0% in Prairie farm.
- Prairie farm has a higher percentage of White residents at 96% compared to 92% in Crescent.
- In Crescent, the Asian population stands at 3%, greater than 0% in Prairie farm.
- Crescent has a higher percentage of Hispanic residents at 3%, compared to 2% in Prairie farm.
- Both Prairie farm and Crescent have the same percentage of residents identifying as two or more races at 1%.
- A greater percentage of American Indian residents live in Prairie farm at 1% compared to 0% in Crescent.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Prairie farm | Crescent |
---|---|---|
Mental Health Not Good | 16.0% | Data is updating% |
Physical Health Not Good | 10.8% | Data is updating% |
Depression | 24.2% | Data is updating% |
Smoking | 18.3% | Data is updating% |
Binge Drinking | 24.1% | Data is updating% |
Obesity | 35.7% | Data is updating% |
Disability Percentage | 15.0% | 13.0% |
Health Statistics Comparison: Prairie farm vs Crescent
- More residents in Prairie farm report poor mental health at 16.0% compared to 0.0% in Crescent.
- Depression is more prevalent in Prairie farm at 24.2% compared to 0.0% in Crescent.
- Smoking is more prevalent in Prairie farm at 18.3% compared to 0.0% in Crescent.
- Binge drinking is more common in Prairie farm at 24.1% compared to 0.0% in Crescent.
- Obesity rates are higher in Prairie farm at 35.7% compared to 0.0% in Crescent.
- Disability percentages are higher in Prairie farm at 15.0% compared to 13.0% in Crescent.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Prairie farm | Crescent |
---|---|---|
No Schooling | 0.2% (1) | 1.1% (27) |
High School Diploma | 32.3% (161) | 18.3% (449) |
Less than High School | 11.6% (58) | 10.8% (264) |
Bachelor's Degree and Higher | 6.8% (34) | 19.8% (487) |
Education Levels Comparison: Prairie farm vs Crescent
- In Crescent, a larger percentage of residents lack formal schooling at 1.1% compared to 0.2% in Prairie farm.
- A higher percentage of residents in Prairie farm hold a high school diploma at 32.3% compared to 18.3% in Crescent.
- More residents in Prairie farm have less than a high school education at 11.6% compared to 10.8% in Crescent.
- In Crescent, a larger share of residents have a bachelor's degree or higher at 19.8% compared to 6.8% in Prairie farm.
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.