Demographics details for Villa ridge, MO vs Lancaster, PA
Population Overview
Compare main population characteristics in Villa ridge, MO vs Lancaster, PA.
Data | Villa ridge | Lancaster |
---|---|---|
Population | 2,971 | 57,453 |
Median Age | 35.0 years | 31.8 years |
Median Income | $71,750 | $61,014 |
Married Families | 37.0% | 28.0% |
Poverty Level | 8% | 12% |
Unemployment Rate | 2.5 | 3.9 |
Population Comparison: Villa ridge vs Lancaster
- The population in Lancaster is higher at 57,453, compared to 2,971 in Villa ridge.
- Residents in Villa ridge have a higher median age of 35.0 years compared to 31.8 years in Lancaster.
- Villa ridge has a higher median income of $71,750 compared to $61,014 in Lancaster.
- A higher percentage of married families is found in Villa ridge at 37.0% compared to 28.0% in Lancaster.
- The poverty level is higher in Lancaster at 12%, compared to 8% in Villa ridge.
- Lancaster has a higher unemployment rate at 3.9% compared to 2.5% in Villa ridge.
Demographics
Demographics Villa ridge vs Lancaster provide insight into the diversity of the communities to compare.
Demographic | Villa ridge | Lancaster |
---|---|---|
Black | 1 | 18 |
White | 92 | 24 |
Asian | Data is updating | 3 |
Hispanic | 4 | 40 |
Two or More Races | 3 | 15 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Villa ridge vs Lancaster
- In Lancaster, the percentage of Black residents is higher at 18% compared to 1% in Villa ridge.
- Villa ridge has a higher percentage of White residents at 92% compared to 24% in Lancaster.
- In Lancaster, the Asian population stands at 3%, greater than 0% in Villa ridge.
- Lancaster has a higher percentage of Hispanic residents at 40%, compared to 4% in Villa ridge.
- The percentage of residents identifying as two or more races is higher in Lancaster at 15%, compared to 3% in Villa ridge.
- The percentage of American Indian residents is the same in both Villa ridge and Lancaster at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Villa ridge | Lancaster |
---|---|---|
Mental Health Not Good | 16.3% | 17.3% |
Physical Health Not Good | 10.5% | 14.4% |
Depression | 24.2% | 21.8% |
Smoking | 17.2% | 20.4% |
Binge Drinking | 19.7% | 14.9% |
Obesity | 36.2% | 41.1% |
Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Villa ridge vs Lancaster
- In Lancaster, a higher percentage report poor mental health at 17.3% compared to 16.3% in Villa ridge.
- Depression is more prevalent in Villa ridge at 24.2% compared to 21.8% in Lancaster.
- Lancaster has a higher smoking rate at 20.4% compared to 17.2% in Villa ridge.
- Binge drinking is more common in Villa ridge at 19.7% compared to 14.9% in Lancaster.
- Lancaster has higher obesity rates at 41.1% compared to 36.2% in Villa ridge.
- There is a higher percentage of disabled individuals in Lancaster at 16.0% compared to 13.0% in Villa ridge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Villa ridge | Lancaster |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.9% (1,077) |
High School Diploma | 18.6% (554) | 16.7% (9,588) |
Less than High School | 8.8% (261) | 18.6% (10,712) |
Bachelor's Degree and Higher | 10.6% (316) | 17.4% (10,012) |
Education Levels Comparison: Villa ridge vs Lancaster
- In Lancaster, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Villa ridge.
- A higher percentage of residents in Villa ridge hold a high school diploma at 18.6% compared to 16.7% in Lancaster.
- The percentage of residents with less than a high school education is higher in Lancaster at 18.6%, compared to 8.8% in Villa ridge.
- In Lancaster, a larger share of residents have a bachelor's degree or higher at 17.4% compared to 10.6% in Villa ridge.
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.