Demographics details for Booneville, MS vs Elm city, NC
Population Overview
Compare main population characteristics in Booneville, MS vs Elm city, NC.
Data | Booneville | Elm city |
---|---|---|
Population | 8,978 | 1,204 |
Median Age | 34.5 years | 48.0 years |
Median Income | $48,655 | $48,125 |
Married Families | 31.0% | 43.0% |
Poverty Level | 20% | 15% |
Unemployment Rate | 4.8 | 5.1 |
Population Comparison: Booneville vs Elm city
- In Booneville, the population is higher at 8,978, compared to 1,204 in Elm city.
- The median age in Elm city is higher at 48.0 years, compared to 34.5 years in Booneville.
- Booneville has a higher median income of $48,655 compared to $48,125 in Elm city.
- In Elm city, the percentage of married families is higher at 43.0%, compared to 31.0% in Booneville.
- Booneville has a higher poverty level at 20% compared to 15% in Elm city.
- Elm city has a higher unemployment rate at 5.1% compared to 4.8% in Booneville.
Demographics
Demographics Booneville vs Elm city provide insight into the diversity of the communities to compare.
Demographic | Booneville | Elm city |
---|---|---|
Black | 17 | 60 |
White | 76 | 25 |
Asian | 1 | 3 |
Hispanic | 1 | 11 |
Two or More Races | 5 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Booneville vs Elm city
- In Elm city, the percentage of Black residents is higher at 60% compared to 17% in Booneville.
- Booneville has a higher percentage of White residents at 76% compared to 25% in Elm city.
- In Elm city, the Asian population stands at 3%, greater than 1% in Booneville.
- Elm city has a higher percentage of Hispanic residents at 11%, compared to 1% in Booneville.
- More residents identify as two or more races in Booneville at 5% compared to 1% in Elm city.
- The percentage of American Indian residents is the same in both Booneville and Elm city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Booneville | Elm city |
---|---|---|
Mental Health Not Good | 19.8% | 16.8% |
Physical Health Not Good | 15.2% | 12.0% |
Depression | 25.5% | 21.2% |
Smoking | 24.7% | 18.8% |
Binge Drinking | 13.2% | 15.7% |
Obesity | 43.5% | 37.9% |
Disability Percentage | 16.0% | 19.0% |
Health Statistics Comparison: Booneville vs Elm city
- More residents in Booneville report poor mental health at 19.8% compared to 16.8% in Elm city.
- Depression is more prevalent in Booneville at 25.5% compared to 21.2% in Elm city.
- Smoking is more prevalent in Booneville at 24.7% compared to 18.8% in Elm city.
- More residents engage in binge drinking in Elm city at 15.7% compared to 13.2% in Booneville.
- Obesity rates are higher in Booneville at 43.5% compared to 37.9% in Elm city.
- There is a higher percentage of disabled individuals in Elm city at 19.0% compared to 16.0% in Booneville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Booneville | Elm city |
---|---|---|
No Schooling | 0.3% (27) | 0.7% (8) |
High School Diploma | 13.3% (1,197) | 24.1% (290) |
Less than High School | 14.4% (1,292) | 15.1% (182) |
Bachelor's Degree and Higher | 16.5% (1,485) | 11.5% (139) |
Education Levels Comparison: Booneville vs Elm city
- In Elm city, a larger percentage of residents lack formal schooling at 0.7% compared to 0.3% in Booneville.
- In Elm city, the rate of residents with high school diplomas is higher at 24.1% compared to 13.3% in Booneville.
- The percentage of residents with less than a high school education is higher in Elm city at 15.1%, compared to 14.4% in Booneville.
- A higher percentage of residents in Booneville hold a bachelor's degree or higher at 16.5% compared to 11.5% in Elm city.
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.