Demographics details for Lima, OH vs San clemente, CA
Population Overview
Compare main population characteristics in Lima, OH vs San clemente, CA.
| Data | Lima | San clemente |
|---|---|---|
| Population | 34,977 | 63,457 |
| Median Age | 34.7 years | 44.2 years |
| Median Income | $41,824 | $134,730 |
| Married Families | 23.0% | 49.0% |
| Poverty Level | 20% | 7% |
| Unemployment Rate | 6.9 | 3.8 |
Population Comparison: Lima vs San clemente
- The population in San clemente is higher at 63,457, compared to 34,977 in Lima.
- The median age in San clemente is higher at 44.2 years, compared to 34.7 years in Lima.
- San clemente has a higher median income of $134,730, compared to $41,824 in Lima.
- In San clemente, the percentage of married families is higher at 49.0%, compared to 23.0% in Lima.
- Lima has a higher poverty level at 20% compared to 7% in San clemente.
- The unemployment rate in Lima is higher at 6.9%, compared to 3.8% in San clemente.
Demographics
Demographics Lima vs San clemente provide insight into the diversity of the communities to compare.
| Demographic | Lima | San clemente |
|---|---|---|
| Black | 24 | 2 |
| White | 62 | 64 |
| Asian | Data is updating | 5 |
| Hispanic | 5 | 17 |
| Two or More Races | 9 | 12 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lima vs San clemente
- A higher percentage of Black residents are in Lima at 24% compared to 2% in San clemente.
- The percentage of White residents is higher in San clemente at 64% compared to 62% in Lima.
- In San clemente, the Asian population stands at 5%, greater than 0% in Lima.
- San clemente has a higher percentage of Hispanic residents at 17%, compared to 5% in Lima.
- The percentage of residents identifying as two or more races is higher in San clemente at 12%, compared to 9% in Lima.
- The percentage of American Indian residents is the same in both Lima and San clemente at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lima | San clemente |
|---|---|---|
| Mental Health Not Good | 19.6% | 14.2% |
| Physical Health Not Good | 15.0% | 8.6% |
| Depression | 25.0% | 18.9% |
| Smoking | 27.2% | 8.9% |
| Binge Drinking | 17.3% | 19.0% |
| Obesity | 47.4% | 25.4% |
| Disability Percentage | 19.0% | 9.0% |
Health Statistics Comparison: Lima vs San clemente
- More residents in Lima report poor mental health at 19.6% compared to 14.2% in San clemente.
- Depression is more prevalent in Lima at 25.0% compared to 18.9% in San clemente.
- Smoking is more prevalent in Lima at 27.2% compared to 8.9% in San clemente.
- More residents engage in binge drinking in San clemente at 19.0% compared to 17.3% in Lima.
- Obesity rates are higher in Lima at 47.4% compared to 25.4% in San clemente.
- Disability percentages are higher in Lima at 19.0% compared to 9.0% in San clemente.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lima | San clemente |
|---|---|---|
| No Schooling | 0.7% (247) | 0.9% (574) |
| High School Diploma | 22.7% (7,927) | 8.4% (5,352) |
| Less than High School | 12.9% (4,523) | 7.8% (4,957) |
| Bachelor's Degree and Higher | 7.0% (2,437) | 36.1% (22,911) |
Education Levels Comparison: Lima vs San clemente
- In San clemente, a larger percentage of residents lack formal schooling at 0.9% compared to 0.7% in Lima.
- A higher percentage of residents in Lima hold a high school diploma at 22.7% compared to 8.4% in San clemente.
- More residents in Lima have less than a high school education at 12.9% compared to 7.8% in San clemente.
- In San clemente, a larger share of residents have a bachelor's degree or higher at 36.1% 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.