Demographics details for Richmond, CA vs Stow, OH
Population Overview
Compare main population characteristics in Richmond, CA vs Stow, OH.
Data | Richmond | Stow |
---|---|---|
Population | 216,288 | 34,216 |
Median Age | 36.0 years | 39.7 years |
Median Income | $73,000 | $89,805 |
Married Families | 40000.0% | 46.0% |
Poverty Level | Data is updating | 8% |
Unemployment Rate | 0.08 | 4.9 |
Population Comparison: Richmond vs Stow
- In Richmond, the population is higher at 216,288, compared to 34,216 in Stow.
- The median age in Stow is higher at 39.7 years, compared to 36.0 years in Richmond.
- Stow has a higher median income of $89,805, compared to $73,000 in Richmond.
- A higher percentage of married families is found in Richmond at 40000.0% compared to 46.0% in Stow.
- The poverty level is higher in Stow at 8%, compared to 0% in Richmond.
- Stow has a higher unemployment rate at 4.9% compared to 0.08% in Richmond.
Demographics
Demographics Richmond vs Stow provide insight into the diversity of the communities to compare.
Demographic | Richmond | Stow |
---|---|---|
Black | 30 | 3 |
White | 36 | 89 |
Asian | 14 | 3 |
Hispanic | 20 | 1 |
Two or More Races | 5 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Richmond vs Stow
- A higher percentage of Black residents are in Richmond at 30% compared to 3% in Stow.
- The percentage of White residents is higher in Stow at 89% compared to 36% in Richmond.
- The Asian population is larger in Richmond at 14% compared to 3% in Stow.
- The Hispanic community is larger in Richmond at 20% compared to 1% in Stow.
- More residents identify as two or more races in Richmond at 5% compared to 4% in Stow.
- The percentage of American Indian residents is the same in both Richmond and Stow at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Richmond | Stow |
---|---|---|
Mental Health Not Good | Data is updating% | 15.4% |
Physical Health Not Good | Data is updating% | 9.4% |
Depression | Data is updating% | 23.6% |
Smoking | Data is updating% | 14.8% |
Binge Drinking | Data is updating% | 19.5% |
Obesity | Data is updating% | 38.3% |
Disability Percentage | Data is updating% | 11.0% |
Health Statistics Comparison: Richmond vs Stow
- In Stow, a higher percentage report poor mental health at 15.4% compared to 0.0% in Richmond.
- Higher depression rates are seen in Stow at 23.6% versus 0.0% in Richmond.
- Stow has a higher smoking rate at 14.8% compared to 0.0% in Richmond.
- More residents engage in binge drinking in Stow at 19.5% compared to 0.0% in Richmond.
- Stow has higher obesity rates at 38.3% compared to 0.0% in Richmond.
- There is a higher percentage of disabled individuals in Stow at 11.0% compared to 0.0% in Richmond.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Richmond | Stow |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.6% (208) |
High School Diploma | 0.0% (Data is updating) | 14.9% (5,110) |
Less than High School | 0.0% (Data is updating) | 3.7% (1,256) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 33.7% (11,546) |
Education Levels Comparison: Richmond vs Stow
- In Stow, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Richmond.
- In Stow, the rate of residents with high school diplomas is higher at 14.9% compared to 0.0% in Richmond.
- The percentage of residents with less than a high school education is higher in Stow at 3.7%, compared to 0.0% in Richmond.
- In Stow, a larger share of residents have a bachelor's degree or higher at 33.7% compared to 0.0% 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.