Demographics details for Keyser, WV vs Prairie farm, WI
Population Overview
Compare main population characteristics in Keyser, WV vs Prairie farm, WI.
Data | Keyser | Prairie farm |
---|---|---|
Population | 4,849 | 498 |
Median Age | 39.1 years | 47.9 years |
Median Income | $46,724 | $55,192 |
Married Families | 36.0% | 45.0% |
Poverty Level | 15% | 10% |
Unemployment Rate | 4.3 | 3.5 |
Population Comparison: Keyser vs Prairie farm
- In Keyser, the population is higher at 4,849, compared to 498 in Prairie farm.
- The median age in Prairie farm is higher at 47.9 years, compared to 39.1 years in Keyser.
- Prairie farm has a higher median income of $55,192, compared to $46,724 in Keyser.
- In Prairie farm, the percentage of married families is higher at 45.0%, compared to 36.0% in Keyser.
- Keyser has a higher poverty level at 15% compared to 10% in Prairie farm.
- The unemployment rate in Keyser is higher at 4.3%, compared to 3.5% in Prairie farm.
Demographics
Demographics Keyser vs Prairie farm provide insight into the diversity of the communities to compare.
Demographic | Keyser | Prairie farm |
---|---|---|
Black | 4 | Data is updating |
White | 95 | 96 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 2 |
Two or More Races | 1 | 1 |
American Indian | Data is updating | 1 |
Demographics Comparison: Keyser vs Prairie farm
- A higher percentage of Black residents are in Keyser at 4% compared to 0% in Prairie farm.
- The percentage of White residents is higher in Prairie farm at 96% compared to 95% in Keyser.
- Both Keyser and Prairie farm have the same percentage of Asian residents at 0%.
- Prairie farm has a higher percentage of Hispanic residents at 2%, compared to 0% in Keyser.
- Both Keyser and Prairie farm have the same percentage of residents identifying as two or more races at 1%.
- In Prairie farm, the percentage of American Indian residents is higher at 1%, compared to 0% in Keyser.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Keyser | Prairie farm |
---|---|---|
Mental Health Not Good | 20.0% | 16.0% |
Physical Health Not Good | 13.6% | 10.8% |
Depression | 27.3% | 24.2% |
Smoking | 20.8% | 18.3% |
Binge Drinking | 14.4% | 24.1% |
Obesity | 35.3% | 35.7% |
Disability Percentage | 20.0% | 15.0% |
Health Statistics Comparison: Keyser vs Prairie farm
- More residents in Keyser report poor mental health at 20.0% compared to 16.0% in Prairie farm.
- Depression is more prevalent in Keyser at 27.3% compared to 24.2% in Prairie farm.
- Smoking is more prevalent in Keyser at 20.8% compared to 18.3% in Prairie farm.
- More residents engage in binge drinking in Prairie farm at 24.1% compared to 14.4% in Keyser.
- Prairie farm has higher obesity rates at 35.7% compared to 35.3% in Keyser.
- Disability percentages are higher in Keyser at 20.0% compared to 15.0% in Prairie farm.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Keyser | Prairie farm |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.2% (1) |
High School Diploma | 22.3% (1,081) | 32.3% (161) |
Less than High School | 15.1% (734) | 11.6% (58) |
Bachelor's Degree and Higher | 18.8% (914) | 6.8% (34) |
Education Levels Comparison: Keyser vs Prairie farm
- In Prairie farm, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Keyser.
- In Prairie farm, the rate of residents with high school diplomas is higher at 32.3% compared to 22.3% in Keyser.
- More residents in Keyser have less than a high school education at 15.1% compared to 11.6% in Prairie farm.
- A higher percentage of residents in Keyser hold a bachelor's degree or higher at 18.8% 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.