Demographics details for Villas, NJ vs Columbus, TX
Population Overview
Compare main population characteristics in Villas, NJ vs Columbus, TX.
| Data | Villas | Columbus |
|---|---|---|
| Population | 9,925 | 3,714 |
| Median Age | 42.4 years | 47.0 years |
| Median Income | $74,182 | $56,250 |
| Married Families | 42.0% | 41.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 4.2 | 5.0 |
Population Comparison: Villas vs Columbus
- In Villas, the population is higher at 9,925, compared to 3,714 in Columbus.
- The median age in Columbus is higher at 47.0 years, compared to 42.4 years in Villas.
- Villas has a higher median income of $74,182 compared to $56,250 in Columbus.
- A higher percentage of married families is found in Villas at 42.0% compared to 41.0% in Columbus.
- The poverty level is higher in Columbus at 12%, compared to 6% in Villas.
- Columbus has a higher unemployment rate at 5.0% compared to 4.2% in Villas.
Demographics
Demographics Villas vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Villas | Columbus |
|---|---|---|
| Black | 1 | 16 |
| White | 88 | 58 |
| Asian | 1 | 1 |
| Hispanic | 6 | 20 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Villas vs Columbus
- In Columbus, the percentage of Black residents is higher at 16% compared to 1% in Villas.
- Villas has a higher percentage of White residents at 88% compared to 58% in Columbus.
- Both Villas and Columbus have the same percentage of Asian residents at 1%.
- Columbus has a higher percentage of Hispanic residents at 20%, compared to 6% in Villas.
- More residents identify as two or more races in Villas at 6% compared to 5% in Columbus.
- The percentage of American Indian residents is the same in both Villas and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Villas | Columbus |
|---|---|---|
| Mental Health Not Good | 17.8% | 16.4% |
| Physical Health Not Good | 12.2% | 11.0% |
| Depression | 25.1% | 21.8% |
| Smoking | 19.2% | 15.6% |
| Binge Drinking | 18.9% | 18.5% |
| Obesity | 34.4% | 36.4% |
| Disability Percentage | 18.0% | 10.0% |
Health Statistics Comparison: Villas vs Columbus
- More residents in Villas report poor mental health at 17.8% compared to 16.4% in Columbus.
- Depression is more prevalent in Villas at 25.1% compared to 21.8% in Columbus.
- Smoking is more prevalent in Villas at 19.2% compared to 15.6% in Columbus.
- Binge drinking is more common in Villas at 18.9% compared to 18.5% in Columbus.
- Columbus has higher obesity rates at 36.4% compared to 34.4% in Villas.
- Disability percentages are higher in Villas at 18.0% compared to 10.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Villas | Columbus |
|---|---|---|
| No Schooling | 0.9% (89) | 2.3% (87) |
| High School Diploma | 24.7% (2,455) | 25.1% (934) |
| Less than High School | 9.5% (946) | 18.8% (699) |
| Bachelor's Degree and Higher | 17.4% (1,724) | 19.1% (710) |
Education Levels Comparison: Villas vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 2.3% compared to 0.9% in Villas.
- In Columbus, the rate of residents with high school diplomas is higher at 25.1% compared to 24.7% in Villas.
- The percentage of residents with less than a high school education is higher in Columbus at 18.8%, compared to 9.5% in Villas.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 19.1% compared to 17.4% in Villas.
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.