Demographics details for Lancaster, CA vs Mount union, PA
Population Overview
Compare main population characteristics in Lancaster, CA vs Mount union, PA.
| Data | Lancaster | Mount union |
|---|---|---|
| Population | 169,185 | 2,267 |
| Median Age | 33.6 years | 34.8 years |
| Median Income | $71,367 | $38,382 |
| Married Families | 32.0% | 25.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 8.2 | 4.2 |
Population Comparison: Lancaster vs Mount union
- In Lancaster, the population is higher at 169,185, compared to 2,267 in Mount union.
- The median age in Mount union is higher at 34.8 years, compared to 33.6 years in Lancaster.
- Lancaster has a higher median income of $71,367 compared to $38,382 in Mount union.
- A higher percentage of married families is found in Lancaster at 32.0% compared to 25.0% in Mount union.
- Lancaster has a higher poverty level at 15% compared to 12% in Mount union.
- The unemployment rate in Lancaster is higher at 8.2%, compared to 4.2% in Mount union.
Demographics
Demographics Lancaster vs Mount union provide insight into the diversity of the communities to compare.
| Demographic | Lancaster | Mount union |
|---|---|---|
| Black | 21 | 8 |
| White | 10 | 87 |
| Asian | 4 | Data is updating |
| Hispanic | 46 | 1 |
| Two or More Races | 18 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Lancaster vs Mount union
- A higher percentage of Black residents are in Lancaster at 21% compared to 8% in Mount union.
- The percentage of White residents is higher in Mount union at 87% compared to 10% in Lancaster.
- The Asian population is larger in Lancaster at 4% compared to 0% in Mount union.
- The Hispanic community is larger in Lancaster at 46% compared to 1% in Mount union.
- More residents identify as two or more races in Lancaster at 18% compared to 4% in Mount union.
- A greater percentage of American Indian residents live in Lancaster at 1% compared to 0% in Mount union.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lancaster | Mount union |
|---|---|---|
| Mental Health Not Good | 17.8% | 20.7% |
| Physical Health Not Good | 13.5% | 15.3% |
| Depression | 17.7% | 25.6% |
| Smoking | 14.8% | 26.4% |
| Binge Drinking | 15.1% | 16.4% |
| Obesity | 32.9% | 43.0% |
| Disability Percentage | 10.0% | 20.0% |
Health Statistics Comparison: Lancaster vs Mount union
- In Mount union, a higher percentage report poor mental health at 20.7% compared to 17.8% in Lancaster.
- Higher depression rates are seen in Mount union at 25.6% versus 17.7% in Lancaster.
- Mount union has a higher smoking rate at 26.4% compared to 14.8% in Lancaster.
- More residents engage in binge drinking in Mount union at 16.4% compared to 15.1% in Lancaster.
- Mount union has higher obesity rates at 43.0% compared to 32.9% in Lancaster.
- There is a higher percentage of disabled individuals in Mount union at 20.0% compared to 10.0% in Lancaster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lancaster | Mount union |
|---|---|---|
| No Schooling | 2.0% (3,403) | 1.9% (43) |
| High School Diploma | 17.5% (29,555) | 28.5% (646) |
| Less than High School | 21.5% (36,421) | 16.3% (370) |
| Bachelor's Degree and Higher | 12.3% (20,861) | 6.3% (142) |
Education Levels Comparison: Lancaster vs Mount union
- A higher percentage of residents in Lancaster have no formal schooling at 2.0% compared to 1.9% in Mount union.
- In Mount union, the rate of residents with high school diplomas is higher at 28.5% compared to 17.5% in Lancaster.
- More residents in Lancaster have less than a high school education at 21.5% compared to 16.3% in Mount union.
- A higher percentage of residents in Lancaster hold a bachelor's degree or higher at 12.3% compared to 6.3% in Mount union.
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.