Demographics details for Paterson, NJ vs Kings mountain, NC
Population Overview
Compare main population characteristics in Paterson, NJ vs Kings mountain, NC.
Data | Paterson | Kings mountain |
---|---|---|
Population | 156,661 | 11,638 |
Median Age | 33.1 years | 41.5 years |
Median Income | $52,092 | $45,301 |
Married Families | 27.0% | 24.0% |
Poverty Level | 18% | 11% |
Unemployment Rate | 8.8 | 4.2 |
Population Comparison: Paterson vs Kings mountain
- In Paterson, the population is higher at 156,661, compared to 11,638 in Kings mountain.
- The median age in Kings mountain is higher at 41.5 years, compared to 33.1 years in Paterson.
- Paterson has a higher median income of $52,092 compared to $45,301 in Kings mountain.
- A higher percentage of married families is found in Paterson at 27.0% compared to 24.0% in Kings mountain.
- Paterson has a higher poverty level at 18% compared to 11% in Kings mountain.
- The unemployment rate in Paterson is higher at 8.8%, compared to 4.2% in Kings mountain.
Demographics
Demographics Paterson vs Kings mountain provide insight into the diversity of the communities to compare.
Demographic | Paterson | Kings mountain |
---|---|---|
Black | 25 | 25 |
White | Data is updating | 68 |
Asian | 5 | 2 |
Hispanic | 64 | 2 |
Two or More Races | 17 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Paterson vs Kings mountain
- The percentage of Black residents is the same in both Paterson and Kings mountain at 25%.
- The percentage of White residents is higher in Kings mountain at 68% compared to 0% in Paterson.
- The Asian population is larger in Paterson at 5% compared to 2% in Kings mountain.
- The Hispanic community is larger in Paterson at 64% compared to 2% in Kings mountain.
- More residents identify as two or more races in Paterson at 17% compared to 3% in Kings mountain.
- The percentage of American Indian residents is the same in both Paterson and Kings mountain at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Paterson | Kings mountain |
---|---|---|
Mental Health Not Good | 17.5% | 18.3% |
Physical Health Not Good | 15.1% | 13.1% |
Depression | 16.5% | 25.7% |
Smoking | 17.7% | 20.9% |
Binge Drinking | 13.9% | 16.3% |
Obesity | 38.0% | 38.0% |
Disability Percentage | 7.0% | 14.0% |
Health Statistics Comparison: Paterson vs Kings mountain
- In Kings mountain, a higher percentage report poor mental health at 18.3% compared to 17.5% in Paterson.
- Higher depression rates are seen in Kings mountain at 25.7% versus 16.5% in Paterson.
- Kings mountain has a higher smoking rate at 20.9% compared to 17.7% in Paterson.
- More residents engage in binge drinking in Kings mountain at 16.3% compared to 13.9% in Paterson.
- Both cities have the same obesity rates at 38.0%.
- There is a higher percentage of disabled individuals in Kings mountain at 14.0% compared to 7.0% in Paterson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Paterson | Kings mountain |
---|---|---|
No Schooling | 2.1% (3,278) | 0.4% (43) |
High School Diploma | 25.1% (39,354) | 21.7% (2,528) |
Less than High School | 26.1% (40,961) | 17.8% (2,071) |
Bachelor's Degree and Higher | 7.9% (12,450) | 11.6% (1,353) |
Education Levels Comparison: Paterson vs Kings mountain
- A higher percentage of residents in Paterson have no formal schooling at 2.1% compared to 0.4% in Kings mountain.
- A higher percentage of residents in Paterson hold a high school diploma at 25.1% compared to 21.7% in Kings mountain.
- More residents in Paterson have less than a high school education at 26.1% compared to 17.8% in Kings mountain.
- In Kings mountain, a larger share of residents have a bachelor's degree or higher at 11.6% compared to 7.9% in Paterson.
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.