Demographics details for Hope mills, NC vs Lyndhurst, NJ
Population Overview
Compare main population characteristics in Hope mills, NC vs Lyndhurst, NJ.
Data | Hope mills | Lyndhurst |
---|---|---|
Population | 17,824 | 22,580 |
Median Age | 32.5 years | 45.0 years |
Median Income | $57,864 | $105,000 |
Married Families | 34.0% | 50.0% |
Poverty Level | 10% | 6% |
Unemployment Rate | 4.2 | 4.0 |
Population Comparison: Hope mills vs Lyndhurst
- The population in Lyndhurst is higher at 22,580, compared to 17,824 in Hope mills.
- The median age in Lyndhurst is higher at 45.0 years, compared to 32.5 years in Hope mills.
- Lyndhurst has a higher median income of $105,000, compared to $57,864 in Hope mills.
- In Lyndhurst, the percentage of married families is higher at 50.0%, compared to 34.0% in Hope mills.
- Hope mills has a higher poverty level at 10% compared to 6% in Lyndhurst.
- The unemployment rate in Hope mills is higher at 4.2%, compared to 4.0% in Lyndhurst.
Demographics
Demographics Hope mills vs Lyndhurst provide insight into the diversity of the communities to compare.
Demographic | Hope mills | Lyndhurst |
---|---|---|
Black | 34 | 10 |
White | 35 | 70 |
Asian | 1 | 10 |
Hispanic | 15 | 10 |
Two or More Races | 13 | Data is updating |
American Indian | 2 | Data is updating |
Demographics Comparison: Hope mills vs Lyndhurst
- A higher percentage of Black residents are in Hope mills at 34% compared to 10% in Lyndhurst.
- The percentage of White residents is higher in Lyndhurst at 70% compared to 35% in Hope mills.
- In Lyndhurst, the Asian population stands at 10%, greater than 1% in Hope mills.
- The Hispanic community is larger in Hope mills at 15% compared to 10% in Lyndhurst.
- More residents identify as two or more races in Hope mills at 13% compared to 0% in Lyndhurst.
- A greater percentage of American Indian residents live in Hope mills at 2% compared to 0% in Lyndhurst.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hope mills | Lyndhurst |
---|---|---|
Mental Health Not Good | 17.6% | Data is updating% |
Physical Health Not Good | 11.9% | Data is updating% |
Depression | 25.9% | Data is updating% |
Smoking | 17.5% | Data is updating% |
Binge Drinking | 17.6% | Data is updating% |
Obesity | 38.5% | Data is updating% |
Disability Percentage | 16.0% | Data is updating% |
Health Statistics Comparison: Hope mills vs Lyndhurst
- More residents in Hope mills report poor mental health at 17.6% compared to 0.0% in Lyndhurst.
- Depression is more prevalent in Hope mills at 25.9% compared to 0.0% in Lyndhurst.
- Smoking is more prevalent in Hope mills at 17.5% compared to 0.0% in Lyndhurst.
- Binge drinking is more common in Hope mills at 17.6% compared to 0.0% in Lyndhurst.
- Obesity rates are higher in Hope mills at 38.5% compared to 0.0% in Lyndhurst.
- Disability percentages are higher in Hope mills at 16.0% compared to 0.0% in Lyndhurst.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hope mills | Lyndhurst |
---|---|---|
No Schooling | 0.4% (68) | 0.0% (Data is updating) |
High School Diploma | 14.7% (2,614) | 0.0% (Data is updating) |
Less than High School | 6.9% (1,237) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 13.7% (2,437) | 0.0% (Data is updating) |
Education Levels Comparison: Hope mills vs Lyndhurst
- A higher percentage of residents in Hope mills have no formal schooling at 0.4% compared to 0.0% in Lyndhurst.
- A higher percentage of residents in Hope mills hold a high school diploma at 14.7% compared to 0.0% in Lyndhurst.
- More residents in Hope mills have less than a high school education at 6.9% compared to 0.0% in Lyndhurst.
- A higher percentage of residents in Hope mills hold a bachelor's degree or higher at 13.7% compared to 0.0% in Lyndhurst.
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.