Demographics details for Richland, MS vs Washington, DC
Population Overview
Compare main population characteristics in Richland, MS vs Washington, DC.
| Data | Richland | Washington |
|---|---|---|
| Population | 7,297 | 671,803 |
| Median Age | 37.1 years | 34.8 years |
| Median Income | $54,753 | $101,722 |
| Married Families | 40.0% | 26.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 4.2 | 6.3 |
Population Comparison: Richland vs Washington
- The population in Washington is higher at 671,803, compared to 7,297 in Richland.
- Residents in Richland have a higher median age of 37.1 years compared to 34.8 years in Washington.
- Washington has a higher median income of $101,722, compared to $54,753 in Richland.
- A higher percentage of married families is found in Richland at 40.0% compared to 26.0% in Washington.
- The poverty level is higher in Washington at 18%, compared to 12% in Richland.
- Washington has a higher unemployment rate at 6.3% compared to 4.2% in Richland.
Demographics
Demographics Richland vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Richland | Washington |
|---|---|---|
| Black | 19 | 44 |
| White | 74 | 34 |
| Asian | 2 | 4 |
| Hispanic | 3 | 11 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Richland vs Washington
- In Washington, the percentage of Black residents is higher at 44% compared to 19% in Richland.
- Richland has a higher percentage of White residents at 74% compared to 34% in Washington.
- In Washington, the Asian population stands at 4%, greater than 2% in Richland.
- Washington has a higher percentage of Hispanic residents at 11%, compared to 3% in Richland.
- The percentage of residents identifying as two or more races is higher in Washington at 7%, compared to 2% in Richland.
- The percentage of American Indian residents is the same in both Richland and Washington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Richland | Washington |
|---|---|---|
| Mental Health Not Good | 16.9% | 14.0% |
| Physical Health Not Good | 11.7% | 8.6% |
| Depression | 23.4% | 20.1% |
| Smoking | 19.3% | 12.4% |
| Binge Drinking | 14.2% | 20.7% |
| Obesity | 37.4% | 25.6% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Richland vs Washington
- More residents in Richland report poor mental health at 16.9% compared to 14.0% in Washington.
- Depression is more prevalent in Richland at 23.4% compared to 20.1% in Washington.
- Smoking is more prevalent in Richland at 19.3% compared to 12.4% in Washington.
- More residents engage in binge drinking in Washington at 20.7% compared to 14.2% in Richland.
- Obesity rates are higher in Richland at 37.4% compared to 25.6% in Washington.
- Disability percentages are higher in Richland at 13.0% compared to 11.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Richland | Washington |
|---|---|---|
| No Schooling | 1.7% (122) | 0.9% (6,109) |
| High School Diploma | 12.6% (916) | 9.1% (61,269) |
| Less than High School | 10.0% (732) | 6.8% (45,577) |
| Bachelor's Degree and Higher | 16.1% (1,175) | 45.2% (303,532) |
Education Levels Comparison: Richland vs Washington
- A higher percentage of residents in Richland have no formal schooling at 1.7% compared to 0.9% in Washington.
- A higher percentage of residents in Richland hold a high school diploma at 12.6% compared to 9.1% in Washington.
- More residents in Richland have less than a high school education at 10.0% compared to 6.8% in Washington.
- In Washington, a larger share of residents have a bachelor's degree or higher at 45.2% compared to 16.1% in Richland.
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.