Demographics details for Mount hermon, LA vs Lima, OH
Population Overview
Compare main population characteristics in Mount hermon, LA vs Lima, OH.
Data | Mount hermon | Lima |
---|---|---|
Population | 118 | 34,977 |
Median Age | 43.0 years | 34.7 years |
Median Income | $49,500 | $41,824 |
Married Families | 27.0% | 23.0% |
Poverty Level | 12% | 20% |
Unemployment Rate | 5.0 | 6.9 |
Population Comparison: Mount hermon vs Lima
- The population in Lima is higher at 34,977, compared to 118 in Mount hermon.
- Residents in Mount hermon have a higher median age of 43.0 years compared to 34.7 years in Lima.
- Mount hermon has a higher median income of $49,500 compared to $41,824 in Lima.
- A higher percentage of married families is found in Mount hermon at 27.0% compared to 23.0% in Lima.
- The poverty level is higher in Lima at 20%, compared to 12% in Mount hermon.
- Lima has a higher unemployment rate at 6.9% compared to 5.0% in Mount hermon.
Demographics
Demographics Mount hermon vs Lima provide insight into the diversity of the communities to compare.
Demographic | Mount hermon | Lima |
---|---|---|
Black | Data is updating | 24 |
White | 97 | 62 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 5 |
Two or More Races | 1 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount hermon vs Lima
- In Lima, the percentage of Black residents is higher at 24% compared to 0% in Mount hermon.
- Mount hermon has a higher percentage of White residents at 97% compared to 62% in Lima.
- Both Mount hermon and Lima have the same percentage of Asian residents at 0%.
- Lima has a higher percentage of Hispanic residents at 5%, compared to 2% in Mount hermon.
- The percentage of residents identifying as two or more races is higher in Lima at 9%, compared to 1% in Mount hermon.
- The percentage of American Indian residents is the same in both Mount hermon and Lima at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount hermon | Lima |
---|---|---|
Mental Health Not Good | Data is updating% | 19.6% |
Physical Health Not Good | Data is updating% | 15.0% |
Depression | Data is updating% | 25.0% |
Smoking | Data is updating% | 27.2% |
Binge Drinking | Data is updating% | 17.3% |
Obesity | Data is updating% | 47.4% |
Disability Percentage | Data is updating% | 19.0% |
Health Statistics Comparison: Mount hermon vs Lima
- In Lima, a higher percentage report poor mental health at 19.6% compared to 0.0% in Mount hermon.
- Higher depression rates are seen in Lima at 25.0% versus 0.0% in Mount hermon.
- Lima has a higher smoking rate at 27.2% compared to 0.0% in Mount hermon.
- More residents engage in binge drinking in Lima at 17.3% compared to 0.0% in Mount hermon.
- Lima has higher obesity rates at 47.4% compared to 0.0% in Mount hermon.
- There is a higher percentage of disabled individuals in Lima at 19.0% compared to 0.0% in Mount hermon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mount hermon | Lima |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.7% (247) |
High School Diploma | 0.0% (Data is updating) | 22.7% (7,927) |
Less than High School | 0.0% (Data is updating) | 12.9% (4,523) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 7.0% (2,437) |
Education Levels Comparison: Mount hermon vs Lima
- In Lima, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Mount hermon.
- In Lima, the rate of residents with high school diplomas is higher at 22.7% compared to 0.0% in Mount hermon.
- The percentage of residents with less than a high school education is higher in Lima at 12.9%, compared to 0.0% in Mount hermon.
- In Lima, a larger share of residents have a bachelor's degree or higher at 7.0% compared to 0.0% in Mount hermon.
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.