Demographics details for Norfolk, VA vs Senecaville, OH
Population Overview
Compare main population characteristics in Norfolk, VA vs Senecaville, OH.
Data | Norfolk | Senecaville |
---|---|---|
Population | 232,995 | 415 |
Median Age | 32.2 years | 36.4 years |
Median Income | $60,998 | $48,036 |
Married Families | 30.0% | 43.0% |
Poverty Level | 11% | 10% |
Unemployment Rate | 3.4 | 4.5 |
Population Comparison: Norfolk vs Senecaville
- In Norfolk, the population is higher at 232,995, compared to 415 in Senecaville.
- The median age in Senecaville is higher at 36.4 years, compared to 32.2 years in Norfolk.
- Norfolk has a higher median income of $60,998 compared to $48,036 in Senecaville.
- In Senecaville, the percentage of married families is higher at 43.0%, compared to 30.0% in Norfolk.
- Norfolk has a higher poverty level at 11% compared to 10% in Senecaville.
- Senecaville has a higher unemployment rate at 4.5% compared to 3.4% in Norfolk.
Demographics
Demographics Norfolk vs Senecaville provide insight into the diversity of the communities to compare.
Demographic | Norfolk | Senecaville |
---|---|---|
Black | 41 | 3 |
White | 39 | 89 |
Asian | 4 | Data is updating |
Hispanic | 9 | 1 |
Two or More Races | 7 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Norfolk vs Senecaville
- A higher percentage of Black residents are in Norfolk at 41% compared to 3% in Senecaville.
- The percentage of White residents is higher in Senecaville at 89% compared to 39% in Norfolk.
- The Asian population is larger in Norfolk at 4% compared to 0% in Senecaville.
- The Hispanic community is larger in Norfolk at 9% compared to 1% in Senecaville.
- Both Norfolk and Senecaville have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both Norfolk and Senecaville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Norfolk | Senecaville |
---|---|---|
Mental Health Not Good | 17.1% | 18.4% |
Physical Health Not Good | 12.1% | 13.1% |
Depression | 20.8% | 24.5% |
Smoking | 18.9% | 22.6% |
Binge Drinking | 17.5% | 18.7% |
Obesity | 42.9% | 42.9% |
Disability Percentage | 13.0% | 26.0% |
Health Statistics Comparison: Norfolk vs Senecaville
- In Senecaville, a higher percentage report poor mental health at 18.4% compared to 17.1% in Norfolk.
- Higher depression rates are seen in Senecaville at 24.5% versus 20.8% in Norfolk.
- Senecaville has a higher smoking rate at 22.6% compared to 18.9% in Norfolk.
- More residents engage in binge drinking in Senecaville at 18.7% compared to 17.5% in Norfolk.
- Both cities have the same obesity rates at 42.9%.
- There is a higher percentage of disabled individuals in Senecaville at 26.0% compared to 13.0% in Norfolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Norfolk | Senecaville |
---|---|---|
No Schooling | 1.0% (2,387) | 0.0% (Data is updating) |
High School Diploma | 12.9% (30,020) | 31.3% (130) |
Less than High School | 9.5% (22,233) | 19.3% (80) |
Bachelor's Degree and Higher | 21.0% (48,995) | 5.3% (22) |
Education Levels Comparison: Norfolk vs Senecaville
- A higher percentage of residents in Norfolk have no formal schooling at 1.0% compared to 0.0% in Senecaville.
- In Senecaville, the rate of residents with high school diplomas is higher at 31.3% compared to 12.9% in Norfolk.
- The percentage of residents with less than a high school education is higher in Senecaville at 19.3%, compared to 9.5% in Norfolk.
- A higher percentage of residents in Norfolk hold a bachelor's degree or higher at 21.0% compared to 5.3% in Senecaville.
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.