Demographics details for Hope mills, NC vs Leesburg, FL
Population Overview
Compare main population characteristics in Hope mills, NC vs Leesburg, FL.
Data | Hope mills | Leesburg |
---|---|---|
Population | 17,824 | 29,178 |
Median Age | 32.5 years | 43.6 years |
Median Income | $57,864 | $43,733 |
Married Families | 34.0% | 35.0% |
Poverty Level | 10% | 11% |
Unemployment Rate | 4.2 | 4.4 |
Population Comparison: Hope mills vs Leesburg
- The population in Leesburg is higher at 29,178, compared to 17,824 in Hope mills.
- The median age in Leesburg is higher at 43.6 years, compared to 32.5 years in Hope mills.
- Hope mills has a higher median income of $57,864 compared to $43,733 in Leesburg.
- In Leesburg, the percentage of married families is higher at 35.0%, compared to 34.0% in Hope mills.
- The poverty level is higher in Leesburg at 11%, compared to 10% in Hope mills.
- Leesburg has a higher unemployment rate at 4.4% compared to 4.2% in Hope mills.
Demographics
Demographics Hope mills vs Leesburg provide insight into the diversity of the communities to compare.
Demographic | Hope mills | Leesburg |
---|---|---|
Black | 34 | 19 |
White | 35 | 46 |
Asian | 1 | 1 |
Hispanic | 15 | 24 |
Two or More Races | 13 | 10 |
American Indian | 2 | Data is updating |
Demographics Comparison: Hope mills vs Leesburg
- A higher percentage of Black residents are in Hope mills at 34% compared to 19% in Leesburg.
- The percentage of White residents is higher in Leesburg at 46% compared to 35% in Hope mills.
- Both Hope mills and Leesburg have the same percentage of Asian residents at 1%.
- Leesburg has a higher percentage of Hispanic residents at 24%, compared to 15% in Hope mills.
- More residents identify as two or more races in Hope mills at 13% compared to 10% in Leesburg.
- A greater percentage of American Indian residents live in Hope mills at 2% compared to 0% in Leesburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hope mills | Leesburg |
---|---|---|
Mental Health Not Good | 17.6% | 18.0% |
Physical Health Not Good | 11.9% | 13.0% |
Depression | 25.9% | 21.1% |
Smoking | 17.5% | 23.6% |
Binge Drinking | 17.6% | 14.3% |
Obesity | 38.5% | 39.8% |
Disability Percentage | 16.0% | 19.0% |
Health Statistics Comparison: Hope mills vs Leesburg
- In Leesburg, a higher percentage report poor mental health at 18.0% compared to 17.6% in Hope mills.
- Depression is more prevalent in Hope mills at 25.9% compared to 21.1% in Leesburg.
- Leesburg has a higher smoking rate at 23.6% compared to 17.5% in Hope mills.
- Binge drinking is more common in Hope mills at 17.6% compared to 14.3% in Leesburg.
- Leesburg has higher obesity rates at 39.8% compared to 38.5% in Hope mills.
- There is a higher percentage of disabled individuals in Leesburg at 19.0% compared to 16.0% in Hope mills.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hope mills | Leesburg |
---|---|---|
No Schooling | 0.4% (68) | 0.7% (209) |
High School Diploma | 14.7% (2,614) | 21.5% (6,277) |
Less than High School | 6.9% (1,237) | 11.4% (3,340) |
Bachelor's Degree and Higher | 13.7% (2,437) | 11.7% (3,428) |
Education Levels Comparison: Hope mills vs Leesburg
- In Leesburg, a larger percentage of residents lack formal schooling at 0.7% compared to 0.4% in Hope mills.
- In Leesburg, the rate of residents with high school diplomas is higher at 21.5% compared to 14.7% in Hope mills.
- The percentage of residents with less than a high school education is higher in Leesburg at 11.4%, 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 11.7% in Leesburg.
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.