Demographics details for Lima, OH vs Santa clarita, CA
Population Overview
Compare main population characteristics in Lima, OH vs Santa clarita, CA.
| Data | Lima | Santa clarita |
|---|---|---|
| Population | 34,977 | 221,345 |
| Median Age | 34.7 years | 37.3 years |
| Median Income | $41,824 | $116,186 |
| Married Families | 23.0% | 43.0% |
| Poverty Level | 20% | 8% |
| Unemployment Rate | 6.9 | 5.7 |
Population Comparison: Lima vs Santa clarita
- The population in Santa clarita is higher at 221,345, compared to 34,977 in Lima.
- The median age in Santa clarita is higher at 37.3 years, compared to 34.7 years in Lima.
- Santa clarita has a higher median income of $116,186, compared to $41,824 in Lima.
- In Santa clarita, the percentage of married families is higher at 43.0%, compared to 23.0% in Lima.
- Lima has a higher poverty level at 20% compared to 8% in Santa clarita.
- The unemployment rate in Lima is higher at 6.9%, compared to 5.7% in Santa clarita.
Demographics
Demographics Lima vs Santa clarita provide insight into the diversity of the communities to compare.
| Demographic | Lima | Santa clarita |
|---|---|---|
| Black | 24 | 4 |
| White | 62 | 30 |
| Asian | Data is updating | 11 |
| Hispanic | 5 | 37 |
| Two or More Races | 9 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lima vs Santa clarita
- A higher percentage of Black residents are in Lima at 24% compared to 4% in Santa clarita.
- Lima has a higher percentage of White residents at 62% compared to 30% in Santa clarita.
- In Santa clarita, the Asian population stands at 11%, greater than 0% in Lima.
- Santa clarita has a higher percentage of Hispanic residents at 37%, compared to 5% in Lima.
- The percentage of residents identifying as two or more races is higher in Santa clarita at 17%, compared to 9% in Lima.
- In Santa clarita, the percentage of American Indian residents is higher at 1%, compared to 0% in Lima.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lima | Santa clarita |
|---|---|---|
| Mental Health Not Good | 19.6% | 14.7% |
| Physical Health Not Good | 15.0% | 9.6% |
| Depression | 25.0% | 16.8% |
| Smoking | 27.2% | 9.7% |
| Binge Drinking | 17.3% | 17.1% |
| Obesity | 47.4% | 26.2% |
| Disability Percentage | 19.0% | 10.0% |
Health Statistics Comparison: Lima vs Santa clarita
- More residents in Lima report poor mental health at 19.6% compared to 14.7% in Santa clarita.
- Depression is more prevalent in Lima at 25.0% compared to 16.8% in Santa clarita.
- Smoking is more prevalent in Lima at 27.2% compared to 9.7% in Santa clarita.
- Binge drinking is more common in Lima at 17.3% compared to 17.1% in Santa clarita.
- Obesity rates are higher in Lima at 47.4% compared to 26.2% in Santa clarita.
- Disability percentages are higher in Lima at 19.0% compared to 10.0% in Santa clarita.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lima | Santa clarita |
|---|---|---|
| No Schooling | 0.7% (247) | 1.4% (3,097) |
| High School Diploma | 22.7% (7,927) | 10.7% (23,725) |
| Less than High School | 12.9% (4,523) | 11.7% (25,882) |
| Bachelor's Degree and Higher | 7.0% (2,437) | 26.1% (57,684) |
Education Levels Comparison: Lima vs Santa clarita
- In Santa clarita, a larger percentage of residents lack formal schooling at 1.4% compared to 0.7% in Lima.
- A higher percentage of residents in Lima hold a high school diploma at 22.7% compared to 10.7% in Santa clarita.
- More residents in Lima have less than a high school education at 12.9% compared to 11.7% in Santa clarita.
- In Santa clarita, a larger share of residents have a bachelor's degree or higher at 26.1% compared to 7.0% in Lima.
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.