Demographics details for Sunrise beach, MO vs Lima, OH
Population Overview
Compare main population characteristics in Sunrise beach, MO vs Lima, OH.
| Data | Sunrise beach | Lima |
|---|---|---|
| Population | 475 | 34,977 |
| Median Age | 43.9 years | 34.7 years |
| Median Income | $46,389 | $41,824 |
| Married Families | 33.0% | 23.0% |
| Poverty Level | 12% | 20% |
| Unemployment Rate | 3.5 | 6.9 |
Population Comparison: Sunrise beach vs Lima
- The population in Lima is higher at 34,977, compared to 475 in Sunrise beach.
- Residents in Sunrise beach have a higher median age of 43.9 years compared to 34.7 years in Lima.
- Sunrise beach has a higher median income of $46,389 compared to $41,824 in Lima.
- A higher percentage of married families is found in Sunrise beach at 33.0% compared to 23.0% in Lima.
- The poverty level is higher in Lima at 20%, compared to 12% in Sunrise beach.
- Lima has a higher unemployment rate at 6.9% compared to 3.5% in Sunrise beach.
Demographics
Demographics Sunrise beach vs Lima provide insight into the diversity of the communities to compare.
| Demographic | Sunrise beach | Lima |
|---|---|---|
| Black | 1 | 24 |
| White | 91 | 62 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | 5 |
| Two or More Races | 1 | 9 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Sunrise beach vs Lima
- In Lima, the percentage of Black residents is higher at 24% compared to 1% in Sunrise beach.
- Sunrise beach has a higher percentage of White residents at 91% compared to 62% in Lima.
- The Asian population is larger in Sunrise beach at 1% compared to 0% in Lima.
- The percentage of Hispanic residents is the same in both Sunrise beach and Lima at 5%.
- The percentage of residents identifying as two or more races is higher in Lima at 9%, compared to 1% in Sunrise beach.
- A greater percentage of American Indian residents live in Sunrise beach at 1% compared to 0% in Lima.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sunrise beach | Lima |
|---|---|---|
| Mental Health Not Good | 17.7% | 19.6% |
| Physical Health Not Good | 12.6% | 15.0% |
| Depression | 25.2% | 25.0% |
| Smoking | 20.6% | 27.2% |
| Binge Drinking | 19.7% | 17.3% |
| Obesity | 37.2% | 47.4% |
| Disability Percentage | 17.0% | 19.0% |
Health Statistics Comparison: Sunrise beach vs Lima
- In Lima, a higher percentage report poor mental health at 19.6% compared to 17.7% in Sunrise beach.
- Depression is more prevalent in Sunrise beach at 25.2% compared to 25.0% in Lima.
- Lima has a higher smoking rate at 27.2% compared to 20.6% in Sunrise beach.
- Binge drinking is more common in Sunrise beach at 19.7% compared to 17.3% in Lima.
- Lima has higher obesity rates at 47.4% compared to 37.2% in Sunrise beach.
- There is a higher percentage of disabled individuals in Lima at 19.0% compared to 17.0% in Sunrise beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sunrise beach | Lima |
|---|---|---|
| No Schooling | 1.1% (5) | 0.7% (247) |
| High School Diploma | 20.8% (99) | 22.7% (7,927) |
| Less than High School | 2.9% (14) | 12.9% (4,523) |
| Bachelor's Degree and Higher | 25.5% (121) | 7.0% (2,437) |
Education Levels Comparison: Sunrise beach vs Lima
- A higher percentage of residents in Sunrise beach have no formal schooling at 1.1% compared to 0.7% in Lima.
- In Lima, the rate of residents with high school diplomas is higher at 22.7% compared to 20.8% in Sunrise beach.
- The percentage of residents with less than a high school education is higher in Lima at 12.9%, compared to 2.9% in Sunrise beach.
- A higher percentage of residents in Sunrise beach hold a bachelor's degree or higher at 25.5% 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.