Demographics details for Richmond, VA vs Norfolk, CT
Population Overview
Compare main population characteristics in Richmond, VA vs Norfolk, CT.
Data | Richmond | Norfolk |
---|---|---|
Population | 229,395 | 1,685 |
Median Age | 34.5 years | 52.0 years |
Median Income | $59,606 | $76,382 |
Married Families | 25.0% | 44.0% |
Poverty Level | 14% | 4% |
Unemployment Rate | 3.5 | 2.7 |
Population Comparison: Richmond vs Norfolk
- In Richmond, the population is higher at 229,395, compared to 1,685 in Norfolk.
- The median age in Norfolk is higher at 52.0 years, compared to 34.5 years in Richmond.
- Norfolk has a higher median income of $76,382, compared to $59,606 in Richmond.
- In Norfolk, the percentage of married families is higher at 44.0%, compared to 25.0% in Richmond.
- Richmond has a higher poverty level at 14% compared to 4% in Norfolk.
- The unemployment rate in Richmond is higher at 3.5%, compared to 2.7% in Norfolk.
Demographics
Demographics Richmond vs Norfolk provide insight into the diversity of the communities to compare.
Demographic | Richmond | Norfolk |
---|---|---|
Black | 44 | Data is updating |
White | 40 | 87 |
Asian | 2 | 1 |
Hispanic | 8 | 4 |
Two or More Races | 6 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Richmond vs Norfolk
- A higher percentage of Black residents are in Richmond at 44% compared to 0% in Norfolk.
- The percentage of White residents is higher in Norfolk at 87% compared to 40% in Richmond.
- The Asian population is larger in Richmond at 2% compared to 1% in Norfolk.
- The Hispanic community is larger in Richmond at 8% compared to 4% in Norfolk.
- The percentage of residents identifying as two or more races is higher in Norfolk at 8%, compared to 6% in Richmond.
- The percentage of American Indian residents is the same in both Richmond and Norfolk at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Richmond | Norfolk |
---|---|---|
Mental Health Not Good | 18.8% | Data is updating% |
Physical Health Not Good | 12.3% | Data is updating% |
Depression | 21.4% | Data is updating% |
Smoking | 18.3% | Data is updating% |
Binge Drinking | 18.6% | Data is updating% |
Obesity | 34.4% | Data is updating% |
Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Richmond vs Norfolk
- More residents in Richmond report poor mental health at 18.8% compared to 0.0% in Norfolk.
- Depression is more prevalent in Richmond at 21.4% compared to 0.0% in Norfolk.
- Smoking is more prevalent in Richmond at 18.3% compared to 0.0% in Norfolk.
- Binge drinking is more common in Richmond at 18.6% compared to 0.0% in Norfolk.
- Obesity rates are higher in Richmond at 34.4% compared to 0.0% in Norfolk.
- Disability percentages are higher in Richmond at 14.0% 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 | Richmond | Norfolk |
---|---|---|
No Schooling | 0.8% (1,793) | 0.2% (3) |
High School Diploma | 11.6% (26,718) | 16.3% (275) |
Less than High School | 10.4% (23,891) | 6.8% (115) |
Bachelor's Degree and Higher | 31.0% (70,999) | 36.2% (610) |
Education Levels Comparison: Richmond vs Norfolk
- A higher percentage of residents in Richmond have no formal schooling at 0.8% compared to 0.2% in Norfolk.
- In Norfolk, the rate of residents with high school diplomas is higher at 16.3% compared to 11.6% in Richmond.
- More residents in Richmond have less than a high school education at 10.4% compared to 6.8% in Norfolk.
- In Norfolk, a larger share of residents have a bachelor's degree or higher at 36.2% compared to 31.0% in Richmond.
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.