Demographics details for Columbus, IN vs Lancaster, CA
Population Overview
Compare main population characteristics in Columbus, IN vs Lancaster, CA.
| Data | Columbus | Lancaster |
|---|---|---|
| Population | 51,268 | 169,185 |
| Median Age | 35.8 years | 33.6 years |
| Median Income | $75,114 | $71,367 |
| Married Families | 41.0% | 32.0% |
| Poverty Level | 9% | 15% |
| Unemployment Rate | 4.0 | 8.2 |
Population Comparison: Columbus vs Lancaster
- The population in Lancaster is higher at 169,185, compared to 51,268 in Columbus.
- Residents in Columbus have a higher median age of 35.8 years compared to 33.6 years in Lancaster.
- Columbus has a higher median income of $75,114 compared to $71,367 in Lancaster.
- A higher percentage of married families is found in Columbus at 41.0% compared to 32.0% in Lancaster.
- The poverty level is higher in Lancaster at 15%, compared to 9% in Columbus.
- Lancaster has a higher unemployment rate at 8.2% compared to 4.0% in Columbus.
Demographics
Demographics Columbus vs Lancaster provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Lancaster |
|---|---|---|
| Black | 2 | 21 |
| White | 71 | 10 |
| Asian | 13 | 4 |
| Hispanic | 9 | 46 |
| Two or More Races | 5 | 18 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Columbus vs Lancaster
- In Lancaster, the percentage of Black residents is higher at 21% compared to 2% in Columbus.
- Columbus has a higher percentage of White residents at 71% compared to 10% in Lancaster.
- The Asian population is larger in Columbus at 13% compared to 4% in Lancaster.
- Lancaster has a higher percentage of Hispanic residents at 46%, compared to 9% in Columbus.
- The percentage of residents identifying as two or more races is higher in Lancaster at 18%, compared to 5% in Columbus.
- In Lancaster, the percentage of American Indian residents is higher at 1%, compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Lancaster |
|---|---|---|
| Mental Health Not Good | 15.6% | 17.8% |
| Physical Health Not Good | 10.3% | 13.5% |
| Depression | 24.1% | 17.7% |
| Smoking | 16.3% | 14.8% |
| Binge Drinking | 16.3% | 15.1% |
| Obesity | 36.7% | 32.9% |
| Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Columbus vs Lancaster
- In Lancaster, a higher percentage report poor mental health at 17.8% compared to 15.6% in Columbus.
- Depression is more prevalent in Columbus at 24.1% compared to 17.7% in Lancaster.
- Smoking is more prevalent in Columbus at 16.3% compared to 14.8% in Lancaster.
- Binge drinking is more common in Columbus at 16.3% compared to 15.1% in Lancaster.
- Obesity rates are higher in Columbus at 36.7% compared to 32.9% in Lancaster.
- Disability percentages are higher in Columbus at 13.0% 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 | Columbus | Lancaster |
|---|---|---|
| No Schooling | 0.8% (398) | 2.0% (3,403) |
| High School Diploma | 14.3% (7,340) | 17.5% (29,555) |
| Less than High School | 9.1% (4,677) | 21.5% (36,421) |
| Bachelor's Degree and Higher | 28.1% (14,382) | 12.3% (20,861) |
Education Levels Comparison: Columbus vs Lancaster
- In Lancaster, a larger percentage of residents lack formal schooling at 2.0% compared to 0.8% in Columbus.
- In Lancaster, the rate of residents with high school diplomas is higher at 17.5% compared to 14.3% in Columbus.
- The percentage of residents with less than a high school education is higher in Lancaster at 21.5%, compared to 9.1% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 28.1% 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.