Demographics details for Richmond, CA vs Butler, MO
Population Overview
Compare main population characteristics in Richmond, CA vs Butler, MO.
| Data | Richmond | Butler |
|---|---|---|
| Population | 216,288 | 4,246 |
| Median Age | 36.0 years | 36.7 years |
| Median Income | $73,000 | $33,548 |
| Married Families | 40000.0% | 35.0% |
| Poverty Level | Data is updating | 14% |
| Unemployment Rate | 0.08 | 4.3 |
Population Comparison: Richmond vs Butler
- In Richmond, the population is higher at 216,288, compared to 4,246 in Butler.
- The median age in Butler is higher at 36.7 years, compared to 36.0 years in Richmond.
- Richmond has a higher median income of $73,000 compared to $33,548 in Butler.
- A higher percentage of married families is found in Richmond at 40000.0% compared to 35.0% in Butler.
- The poverty level is higher in Butler at 14%, compared to 0% in Richmond.
- Butler has a higher unemployment rate at 4.3% compared to 0.08% in Richmond.
Demographics
Demographics Richmond vs Butler provide insight into the diversity of the communities to compare.
| Demographic | Richmond | Butler |
|---|---|---|
| Black | 30 | 6 |
| White | 36 | 89 |
| Asian | 14 | 1 |
| Hispanic | 20 | 1 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Richmond vs Butler
- A higher percentage of Black residents are in Richmond at 30% compared to 6% in Butler.
- The percentage of White residents is higher in Butler at 89% compared to 36% in Richmond.
- The Asian population is larger in Richmond at 14% compared to 1% in Butler.
- The Hispanic community is larger in Richmond at 20% compared to 1% in Butler.
- More residents identify as two or more races in Richmond at 5% compared to 3% in Butler.
- The percentage of American Indian residents is the same in both Richmond and Butler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Richmond | Butler |
|---|---|---|
| Mental Health Not Good | Data is updating% | 20.0% |
| Physical Health Not Good | Data is updating% | 15.0% |
| Depression | Data is updating% | 27.0% |
| Smoking | Data is updating% | 26.2% |
| Binge Drinking | Data is updating% | 16.4% |
| Obesity | Data is updating% | 42.8% |
| Disability Percentage | Data is updating% | 21.0% |
Health Statistics Comparison: Richmond vs Butler
- In Butler, a higher percentage report poor mental health at 20.0% compared to 0.0% in Richmond.
- Higher depression rates are seen in Butler at 27.0% versus 0.0% in Richmond.
- Butler has a higher smoking rate at 26.2% compared to 0.0% in Richmond.
- More residents engage in binge drinking in Butler at 16.4% compared to 0.0% in Richmond.
- Butler has higher obesity rates at 42.8% compared to 0.0% in Richmond.
- There is a higher percentage of disabled individuals in Butler at 21.0% 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 | Butler |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (31) |
| High School Diploma | 0.0% (Data is updating) | 37.8% (1,605) |
| Less than High School | 0.0% (Data is updating) | 11.9% (505) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 7.8% (330) |
Education Levels Comparison: Richmond vs Butler
- In Butler, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Richmond.
- In Butler, the rate of residents with high school diplomas is higher at 37.8% compared to 0.0% in Richmond.
- The percentage of residents with less than a high school education is higher in Butler at 11.9%, compared to 0.0% in Richmond.
- In Butler, a larger share of residents have a bachelor's degree or higher at 7.8% 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.