Demographics details for Webb city, MO vs Richmond, VA
Population Overview
Compare main population characteristics in Webb city, MO vs Richmond, VA.
| Data | Webb city | Richmond |
|---|---|---|
| Population | 13,165 | 229,395 |
| Median Age | 34.2 years | 34.5 years |
| Median Income | $58,964 | $59,606 |
| Married Families | 36.0% | 25.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Webb city vs Richmond
- The population in Richmond is higher at 229,395, compared to 13,165 in Webb city.
- The median age in Richmond is higher at 34.5 years, compared to 34.2 years in Webb city.
- Richmond has a higher median income of $59,606, compared to $58,964 in Webb city.
- A higher percentage of married families is found in Webb city at 36.0% compared to 25.0% in Richmond.
- The poverty level is higher in Richmond at 14%, compared to 12% in Webb city.
- The unemployment rate is the same in both Webb city and Richmond at 3.5%.
Demographics
Demographics Webb city vs Richmond provide insight into the diversity of the communities to compare.
| Demographic | Webb city | Richmond |
|---|---|---|
| Black | 2 | 44 |
| White | 87 | 40 |
| Asian | 2 | 2 |
| Hispanic | 2 | 8 |
| Two or More Races | 6 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Webb city vs Richmond
- In Richmond, the percentage of Black residents is higher at 44% compared to 2% in Webb city.
- Webb city has a higher percentage of White residents at 87% compared to 40% in Richmond.
- Both Webb city and Richmond have the same percentage of Asian residents at 2%.
- Richmond has a higher percentage of Hispanic residents at 8%, compared to 2% in Webb city.
- Both Webb city and Richmond have the same percentage of residents identifying as two or more races at 6%.
- A greater percentage of American Indian residents live in Webb city at 1% compared to 0% in Richmond.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Webb city | Richmond |
|---|---|---|
| Mental Health Not Good | 19.2% | 18.8% |
| Physical Health Not Good | 13.6% | 12.3% |
| Depression | 26.8% | 21.4% |
| Smoking | 21.8% | 18.3% |
| Binge Drinking | 16.2% | 18.6% |
| Obesity | 40.0% | 34.4% |
| Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Webb city vs Richmond
- More residents in Webb city report poor mental health at 19.2% compared to 18.8% in Richmond.
- Depression is more prevalent in Webb city at 26.8% compared to 21.4% in Richmond.
- Smoking is more prevalent in Webb city at 21.8% compared to 18.3% in Richmond.
- More residents engage in binge drinking in Richmond at 18.6% compared to 16.2% in Webb city.
- Obesity rates are higher in Webb city at 40.0% compared to 34.4% in Richmond.
- Disability percentages are higher in Webb city at 16.0% compared to 14.0% in Richmond.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Webb city | Richmond |
|---|---|---|
| No Schooling | 0.4% (53) | 0.8% (1,793) |
| High School Diploma | 19.4% (2,556) | 11.6% (26,718) |
| Less than High School | 11.6% (1,529) | 10.4% (23,891) |
| Bachelor's Degree and Higher | 17.5% (2,301) | 31.0% (70,999) |
Education Levels Comparison: Webb city vs Richmond
- In Richmond, a larger percentage of residents lack formal schooling at 0.8% compared to 0.4% in Webb city.
- A higher percentage of residents in Webb city hold a high school diploma at 19.4% compared to 11.6% in Richmond.
- More residents in Webb city have less than a high school education at 11.6% compared to 10.4% in Richmond.
- In Richmond, a larger share of residents have a bachelor's degree or higher at 31.0% compared to 17.5% in Webb city.
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.