Demographics details for Shelbina, MO vs Washington, LA
Population Overview
Compare main population characteristics in Shelbina, MO vs Washington, LA.
| Data | Shelbina | Washington |
|---|---|---|
| Population | 1,582 | 726 |
| Median Age | 37.6 years | 26.6 years |
| Median Income | $52,050 | $36,719 |
| Married Families | 51.0% | 23.0% |
| Poverty Level | 11% | 15% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Shelbina vs Washington
- In Shelbina, the population is higher at 1,582, compared to 726 in Washington.
- Residents in Shelbina have a higher median age of 37.6 years compared to 26.6 years in Washington.
- Shelbina has a higher median income of $52,050 compared to $36,719 in Washington.
- A higher percentage of married families is found in Shelbina at 51.0% compared to 23.0% in Washington.
- The poverty level is higher in Washington at 15%, compared to 11% in Shelbina.
- Washington has a higher unemployment rate at 5.2% compared to 3.5% in Shelbina.
Demographics
Demographics Shelbina vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Shelbina | Washington |
|---|---|---|
| Black | 5 | 65 |
| White | 89 | 20 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 3 |
| Two or More Races | 1 | 12 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Shelbina vs Washington
- In Washington, the percentage of Black residents is higher at 65% compared to 5% in Shelbina.
- Shelbina has a higher percentage of White residents at 89% compared to 20% in Washington.
- Both Shelbina and Washington have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Shelbina and Washington at 3%.
- The percentage of residents identifying as two or more races is higher in Washington at 12%, compared to 1% in Shelbina.
- A greater percentage of American Indian residents live in Shelbina at 2% compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shelbina | Washington |
|---|---|---|
| Mental Health Not Good | 19.2% | 21.1% |
| Physical Health Not Good | 14.0% | 15.3% |
| Depression | 26.4% | 25.5% |
| Smoking | 23.4% | 26.0% |
| Binge Drinking | 17.6% | 15.1% |
| Obesity | 39.6% | 41.5% |
| Disability Percentage | 20.0% | 9.0% |
Health Statistics Comparison: Shelbina vs Washington
- In Washington, a higher percentage report poor mental health at 21.1% compared to 19.2% in Shelbina.
- Depression is more prevalent in Shelbina at 26.4% compared to 25.5% in Washington.
- Washington has a higher smoking rate at 26.0% compared to 23.4% in Shelbina.
- Binge drinking is more common in Shelbina at 17.6% compared to 15.1% in Washington.
- Washington has higher obesity rates at 41.5% compared to 39.6% in Shelbina.
- Disability percentages are higher in Shelbina at 20.0% compared to 9.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Shelbina | Washington |
|---|---|---|
| No Schooling | 0.2% (3) | 0.0% (Data is updating) |
| High School Diploma | 31.1% (492) | 20.2% (147) |
| Less than High School | 17.6% (279) | 27.7% (201) |
| Bachelor's Degree and Higher | 14.2% (225) | 7.3% (53) |
Education Levels Comparison: Shelbina vs Washington
- A higher percentage of residents in Shelbina have no formal schooling at 0.2% compared to 0.0% in Washington.
- A higher percentage of residents in Shelbina hold a high school diploma at 31.1% compared to 20.2% in Washington.
- The percentage of residents with less than a high school education is higher in Washington at 27.7%, compared to 17.6% in Shelbina.
- A higher percentage of residents in Shelbina hold a bachelor's degree or higher at 14.2% compared to 7.3% in Washington.
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.