Demographics details for Mount hermon, LA vs Otto, NC
Population Overview
Compare main population characteristics in Mount hermon, LA vs Otto, NC.
Data | Mount hermon | Otto |
---|---|---|
Population | 118 | 1,000 |
Median Age | 43.0 years | 45.0 years |
Median Income | $49,500 | $50,000 |
Married Families | 27.0% | 300.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 5.0 | 4.5 |
Population Comparison: Mount hermon vs Otto
- The population in Otto is higher at 1,000, compared to 118 in Mount hermon.
- The median age in Otto is higher at 45.0 years, compared to 43.0 years in Mount hermon.
- Otto has a higher median income of $50,000, compared to $49,500 in Mount hermon.
- In Otto, the percentage of married families is higher at 300.0%, compared to 27.0% in Mount hermon.
- The poverty level is identical in both Mount hermon and Otto at 12%.
- The unemployment rate in Mount hermon is higher at 5.0%, compared to 4.5% in Otto.
Demographics
Demographics Mount hermon vs Otto provide insight into the diversity of the communities to compare.
Demographic | Mount hermon | Otto |
---|---|---|
Black | Data is updating | 5 |
White | 97 | 95 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | Data is updating |
Two or More Races | 1 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount hermon vs Otto
- In Otto, the percentage of Black residents is higher at 5% compared to 0% in Mount hermon.
- Mount hermon has a higher percentage of White residents at 97% compared to 95% in Otto.
- Both Mount hermon and Otto have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Mount hermon at 2% compared to 0% in Otto.
- More residents identify as two or more races in Mount hermon at 1% compared to 0% in Otto.
- The percentage of American Indian residents is the same in both Mount hermon and Otto at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount hermon | Otto |
---|---|---|
Mental Health Not Good | Data is updating% | Data is updating% |
Physical Health Not Good | Data is updating% | Data is updating% |
Depression | Data is updating% | Data is updating% |
Smoking | Data is updating% | Data is updating% |
Binge Drinking | Data is updating% | Data is updating% |
Obesity | Data is updating% | Data is updating% |
Disability Percentage | Data is updating% | Data is updating% |
Health Statistics Comparison: Mount hermon vs Otto
- Poor mental health levels are equal in both Mount hermon and Otto at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Mount hermon and Otto at 0.0%.
- Binge drinking rates are similar in both Mount hermon and Otto at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are the same in both Mount hermon and Otto at 0.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mount hermon | Otto |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 0.0% (Data is updating) | 0.0% (Data is updating) |
Less than High School | 0.0% (Data is updating) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 0.0% (Data is updating) |
Education Levels Comparison: Mount hermon vs Otto
- The percentage of residents with no formal schooling is the same in both Mount hermon and Otto at 0.0%.
- Both cities have the same percentage of residents with high school diplomas at 0.0%.
- Both cities report the same percentage of residents with less than a high school education at 0.0%.
- The percentage of residents with a bachelor's degree or higher is identical in both Mount hermon and Otto at 0.0%.
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.