Demographics details for Lancaster, CA vs Tipp city, OH
Population Overview
Compare main population characteristics in Lancaster, CA vs Tipp city, OH.
| Data | Lancaster | Tipp city |
|---|---|---|
| Population | 169,185 | 10,424 |
| Median Age | 33.6 years | 40.1 years |
| Median Income | $71,367 | $74,178 |
| Married Families | 32.0% | 46.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 8.2 | 3.2 |
Population Comparison: Lancaster vs Tipp city
- In Lancaster, the population is higher at 169,185, compared to 10,424 in Tipp city.
- The median age in Tipp city is higher at 40.1 years, compared to 33.6 years in Lancaster.
- Tipp city has a higher median income of $74,178, compared to $71,367 in Lancaster.
- In Tipp city, the percentage of married families is higher at 46.0%, compared to 32.0% in Lancaster.
- Lancaster has a higher poverty level at 15% compared to 5% in Tipp city.
- The unemployment rate in Lancaster is higher at 8.2%, compared to 3.2% in Tipp city.
Demographics
Demographics Lancaster vs Tipp city provide insight into the diversity of the communities to compare.
| Demographic | Lancaster | Tipp city |
|---|---|---|
| Black | 21 | 1 |
| White | 10 | 92 |
| Asian | 4 | 2 |
| Hispanic | 46 | 1 |
| Two or More Races | 18 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Lancaster vs Tipp city
- A higher percentage of Black residents are in Lancaster at 21% compared to 1% in Tipp city.
- The percentage of White residents is higher in Tipp city at 92% compared to 10% in Lancaster.
- The Asian population is larger in Lancaster at 4% compared to 2% in Tipp city.
- The Hispanic community is larger in Lancaster at 46% compared to 1% in Tipp city.
- More residents identify as two or more races in Lancaster at 18% compared to 4% in Tipp city.
- A greater percentage of American Indian residents live in Lancaster at 1% compared to 0% in Tipp city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lancaster | Tipp city |
|---|---|---|
| Mental Health Not Good | 17.8% | 15.4% |
| Physical Health Not Good | 13.5% | 9.5% |
| Depression | 17.7% | 21.5% |
| Smoking | 14.8% | 15.4% |
| Binge Drinking | 15.1% | 19.2% |
| Obesity | 32.9% | 36.7% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Lancaster vs Tipp city
- More residents in Lancaster report poor mental health at 17.8% compared to 15.4% in Tipp city.
- Higher depression rates are seen in Tipp city at 21.5% versus 17.7% in Lancaster.
- Tipp city has a higher smoking rate at 15.4% compared to 14.8% in Lancaster.
- More residents engage in binge drinking in Tipp city at 19.2% compared to 15.1% in Lancaster.
- Tipp city has higher obesity rates at 36.7% compared to 32.9% in Lancaster.
- There is a higher percentage of disabled individuals in Tipp city at 11.0% 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 | Tipp city |
|---|---|---|
| No Schooling | 2.0% (3,403) | 0.6% (61) |
| High School Diploma | 17.5% (29,555) | 15.5% (1,616) |
| Less than High School | 21.5% (36,421) | 6.0% (624) |
| Bachelor's Degree and Higher | 12.3% (20,861) | 23.6% (2,455) |
Education Levels Comparison: Lancaster vs Tipp city
- A higher percentage of residents in Lancaster have no formal schooling at 2.0% compared to 0.6% in Tipp city.
- A higher percentage of residents in Lancaster hold a high school diploma at 17.5% compared to 15.5% in Tipp city.
- More residents in Lancaster have less than a high school education at 21.5% compared to 6.0% in Tipp city.
- In Tipp city, a larger share of residents have a bachelor's degree or higher at 23.6% compared to 12.3% in Lancaster.
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.