Demographics details for Wellington, FL vs Norfolk, VA
Population Overview
Compare main population characteristics in Wellington, FL vs Norfolk, VA.
| Data | Wellington | Norfolk |
|---|---|---|
| Population | 61,438 | 232,995 |
| Median Age | 41.5 years | 32.2 years |
| Median Income | $105,848 | $60,998 |
| Married Families | 45.0% | 30.0% |
| Poverty Level | 8% | 11% |
| Unemployment Rate | 3.3 | 3.4 |
Population Comparison: Wellington vs Norfolk
- The population in Norfolk is higher at 232,995, compared to 61,438 in Wellington.
- Residents in Wellington have a higher median age of 41.5 years compared to 32.2 years in Norfolk.
- Wellington has a higher median income of $105,848 compared to $60,998 in Norfolk.
- A higher percentage of married families is found in Wellington at 45.0% compared to 30.0% in Norfolk.
- The poverty level is higher in Norfolk at 11%, compared to 8% in Wellington.
- Norfolk has a higher unemployment rate at 3.4% compared to 3.3% in Wellington.
Demographics
Demographics Wellington vs Norfolk provide insight into the diversity of the communities to compare.
| Demographic | Wellington | Norfolk |
|---|---|---|
| Black | 11 | 41 |
| White | 42 | 39 |
| Asian | 5 | 4 |
| Hispanic | 27 | 9 |
| Two or More Races | 15 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wellington vs Norfolk
- In Norfolk, the percentage of Black residents is higher at 41% compared to 11% in Wellington.
- Wellington has a higher percentage of White residents at 42% compared to 39% in Norfolk.
- The Asian population is larger in Wellington at 5% compared to 4% in Norfolk.
- The Hispanic community is larger in Wellington at 27% compared to 9% in Norfolk.
- More residents identify as two or more races in Wellington at 15% compared to 7% in Norfolk.
- The percentage of American Indian residents is the same in both Wellington and Norfolk at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wellington | Norfolk |
|---|---|---|
| Mental Health Not Good | 14.1% | 17.1% |
| Physical Health Not Good | 8.5% | 12.1% |
| Depression | 17.2% | 20.8% |
| Smoking | 13.9% | 18.9% |
| Binge Drinking | 16.7% | 17.5% |
| Obesity | 24.0% | 42.9% |
| Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: Wellington vs Norfolk
- In Norfolk, a higher percentage report poor mental health at 17.1% compared to 14.1% in Wellington.
- Higher depression rates are seen in Norfolk at 20.8% versus 17.2% in Wellington.
- Norfolk has a higher smoking rate at 18.9% compared to 13.9% in Wellington.
- More residents engage in binge drinking in Norfolk at 17.5% compared to 16.7% in Wellington.
- Norfolk has higher obesity rates at 42.9% compared to 24.0% in Wellington.
- There is a higher percentage of disabled individuals in Norfolk at 13.0% compared to 9.0% in Wellington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wellington | Norfolk |
|---|---|---|
| No Schooling | 0.7% (431) | 1.0% (2,387) |
| High School Diploma | 10.3% (6,304) | 12.9% (30,020) |
| Less than High School | 6.9% (4,234) | 9.5% (22,233) |
| Bachelor's Degree and Higher | 32.5% (19,977) | 21.0% (48,995) |
Education Levels Comparison: Wellington vs Norfolk
- In Norfolk, a larger percentage of residents lack formal schooling at 1.0% compared to 0.7% in Wellington.
- In Norfolk, the rate of residents with high school diplomas is higher at 12.9% compared to 10.3% in Wellington.
- The percentage of residents with less than a high school education is higher in Norfolk at 9.5%, compared to 6.9% in Wellington.
- A higher percentage of residents in Wellington hold a bachelor's degree or higher at 32.5% compared to 21.0% in Norfolk.
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.