Demographics details for Hope mills, NC vs Ellsworth, WI
Population Overview
Compare main population characteristics in Hope mills, NC vs Ellsworth, WI.
Data | Hope mills | Ellsworth |
---|---|---|
Population | 17,824 | 3,306 |
Median Age | 32.5 years | 41.8 years |
Median Income | $57,864 | $72,326 |
Married Families | 34.0% | 38.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 4.2 | 3.0 |
Population Comparison: Hope mills vs Ellsworth
- In Hope mills, the population is higher at 17,824, compared to 3,306 in Ellsworth.
- The median age in Ellsworth is higher at 41.8 years, compared to 32.5 years in Hope mills.
- Ellsworth has a higher median income of $72,326, compared to $57,864 in Hope mills.
- In Ellsworth, the percentage of married families is higher at 38.0%, compared to 34.0% in Hope mills.
- Hope mills has a higher poverty level at 10% compared to 9% in Ellsworth.
- The unemployment rate in Hope mills is higher at 4.2%, compared to 3.0% in Ellsworth.
Demographics
Demographics Hope mills vs Ellsworth provide insight into the diversity of the communities to compare.
Demographic | Hope mills | Ellsworth |
---|---|---|
Black | 34 | 1 |
White | 35 | 85 |
Asian | 1 | Data is updating |
Hispanic | 15 | 5 |
Two or More Races | 13 | 9 |
American Indian | 2 | Data is updating |
Demographics Comparison: Hope mills vs Ellsworth
- A higher percentage of Black residents are in Hope mills at 34% compared to 1% in Ellsworth.
- The percentage of White residents is higher in Ellsworth at 85% compared to 35% in Hope mills.
- The Asian population is larger in Hope mills at 1% compared to 0% in Ellsworth.
- The Hispanic community is larger in Hope mills at 15% compared to 5% in Ellsworth.
- More residents identify as two or more races in Hope mills at 13% compared to 9% in Ellsworth.
- A greater percentage of American Indian residents live in Hope mills at 2% compared to 0% in Ellsworth.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hope mills | Ellsworth |
---|---|---|
Mental Health Not Good | 17.6% | 14.4% |
Physical Health Not Good | 11.9% | 9.2% |
Depression | 25.9% | 22.9% |
Smoking | 17.5% | 15.1% |
Binge Drinking | 17.6% | 25.6% |
Obesity | 38.5% | 34.1% |
Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Hope mills vs Ellsworth
- More residents in Hope mills report poor mental health at 17.6% compared to 14.4% in Ellsworth.
- Depression is more prevalent in Hope mills at 25.9% compared to 22.9% in Ellsworth.
- Smoking is more prevalent in Hope mills at 17.5% compared to 15.1% in Ellsworth.
- More residents engage in binge drinking in Ellsworth at 25.6% compared to 17.6% in Hope mills.
- Obesity rates are higher in Hope mills at 38.5% compared to 34.1% in Ellsworth.
- Disability percentages are higher in Hope mills at 16.0% compared to 14.0% in Ellsworth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hope mills | Ellsworth |
---|---|---|
No Schooling | 0.4% (68) | 0.3% (9) |
High School Diploma | 14.7% (2,614) | 21.3% (705) |
Less than High School | 6.9% (1,237) | 13.8% (456) |
Bachelor's Degree and Higher | 13.7% (2,437) | 12.6% (416) |
Education Levels Comparison: Hope mills vs Ellsworth
- A higher percentage of residents in Hope mills have no formal schooling at 0.4% compared to 0.3% in Ellsworth.
- In Ellsworth, the rate of residents with high school diplomas is higher at 21.3% compared to 14.7% in Hope mills.
- The percentage of residents with less than a high school education is higher in Ellsworth at 13.8%, compared to 6.9% in Hope mills.
- A higher percentage of residents in Hope mills hold a bachelor's degree or higher at 13.7% compared to 12.6% in Ellsworth.
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.