Demographics details for Kings mountain, NC vs Villas, NJ
Population Overview
Compare main population characteristics in Kings mountain, NC vs Villas, NJ.
| Data | Kings mountain | Villas |
|---|---|---|
| Population | 11,638 | 9,925 |
| Median Age | 41.5 years | 42.4 years |
| Median Income | $45,301 | $74,182 |
| Married Families | 24.0% | 42.0% |
| Poverty Level | 11% | 6% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Kings mountain vs Villas
- In Kings mountain, the population is higher at 11,638, compared to 9,925 in Villas.
- The median age in Villas is higher at 42.4 years, compared to 41.5 years in Kings mountain.
- Villas has a higher median income of $74,182, compared to $45,301 in Kings mountain.
- In Villas, the percentage of married families is higher at 42.0%, compared to 24.0% in Kings mountain.
- Kings mountain has a higher poverty level at 11% compared to 6% in Villas.
- The unemployment rate is the same in both Kings mountain and Villas at 4.2%.
Demographics
Demographics Kings mountain vs Villas provide insight into the diversity of the communities to compare.
| Demographic | Kings mountain | Villas |
|---|---|---|
| Black | 25 | 1 |
| White | 68 | 88 |
| Asian | 2 | 1 |
| Hispanic | 2 | 6 |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kings mountain vs Villas
- A higher percentage of Black residents are in Kings mountain at 25% compared to 1% in Villas.
- The percentage of White residents is higher in Villas at 88% compared to 68% in Kings mountain.
- The Asian population is larger in Kings mountain at 2% compared to 1% in Villas.
- Villas has a higher percentage of Hispanic residents at 6%, compared to 2% in Kings mountain.
- The percentage of residents identifying as two or more races is higher in Villas at 6%, compared to 3% in Kings mountain.
- The percentage of American Indian residents is the same in both Kings mountain and Villas at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kings mountain | Villas |
|---|---|---|
| Mental Health Not Good | 18.3% | 17.8% |
| Physical Health Not Good | 13.1% | 12.2% |
| Depression | 25.7% | 25.1% |
| Smoking | 20.9% | 19.2% |
| Binge Drinking | 16.3% | 18.9% |
| Obesity | 38.0% | 34.4% |
| Disability Percentage | 14.0% | 18.0% |
Health Statistics Comparison: Kings mountain vs Villas
- More residents in Kings mountain report poor mental health at 18.3% compared to 17.8% in Villas.
- Depression is more prevalent in Kings mountain at 25.7% compared to 25.1% in Villas.
- Smoking is more prevalent in Kings mountain at 20.9% compared to 19.2% in Villas.
- More residents engage in binge drinking in Villas at 18.9% compared to 16.3% in Kings mountain.
- Obesity rates are higher in Kings mountain at 38.0% compared to 34.4% in Villas.
- There is a higher percentage of disabled individuals in Villas at 18.0% compared to 14.0% in Kings mountain.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kings mountain | Villas |
|---|---|---|
| No Schooling | 0.4% (43) | 0.9% (89) |
| High School Diploma | 21.7% (2,528) | 24.7% (2,455) |
| Less than High School | 17.8% (2,071) | 9.5% (946) |
| Bachelor's Degree and Higher | 11.6% (1,353) | 17.4% (1,724) |
Education Levels Comparison: Kings mountain vs Villas
- In Villas, a larger percentage of residents lack formal schooling at 0.9% compared to 0.4% in Kings mountain.
- In Villas, the rate of residents with high school diplomas is higher at 24.7% compared to 21.7% in Kings mountain.
- More residents in Kings mountain have less than a high school education at 17.8% compared to 9.5% in Villas.
- In Villas, a larger share of residents have a bachelor's degree or higher at 17.4% compared to 11.6% in Kings mountain.
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.