Demographics details for Buckner, KY vs Shelbina, MO
Population Overview
Compare main population characteristics in Buckner, KY vs Shelbina, MO.
| Data | Buckner | Shelbina |
|---|---|---|
| Population | 3,658 | 1,582 |
| Median Age | 37.6 years | 37.6 years |
| Median Income | $141,538 | $52,050 |
| Married Families | 54.0% | 51.0% |
| Poverty Level | Data is updating | 11% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Buckner vs Shelbina
- In Buckner, the population is higher at 3,658, compared to 1,582 in Shelbina.
- The median age is the same in both Buckner and Shelbina at 37.6 years.
- Buckner has a higher median income of $141,538 compared to $52,050 in Shelbina.
- A higher percentage of married families is found in Buckner at 54.0% compared to 51.0% in Shelbina.
- The poverty level is higher in Shelbina at 11%, compared to 0% in Buckner.
- Shelbina has a higher unemployment rate at 3.5% compared to 3.2% in Buckner.
Demographics
Demographics Buckner vs Shelbina provide insight into the diversity of the communities to compare.
| Demographic | Buckner | Shelbina |
|---|---|---|
| Black | 6 | 5 |
| White | 84 | 89 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 3 |
| Two or More Races | 6 | 1 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Buckner vs Shelbina
- A higher percentage of Black residents are in Buckner at 6% compared to 5% in Shelbina.
- The percentage of White residents is higher in Shelbina at 89% compared to 84% in Buckner.
- Both Buckner and Shelbina have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Buckner at 4% compared to 3% in Shelbina.
- More residents identify as two or more races in Buckner at 6% compared to 1% in Shelbina.
- In Shelbina, the percentage of American Indian residents is higher at 2%, compared to 0% in Buckner.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Buckner | Shelbina |
|---|---|---|
| Mental Health Not Good | 14.3% | 19.2% |
| Physical Health Not Good | 10.7% | 14.0% |
| Depression | 21.0% | 26.4% |
| Smoking | 17.3% | 23.4% |
| Binge Drinking | 19.0% | 17.6% |
| Obesity | 33.8% | 39.6% |
| Disability Percentage | 5.0% | 20.0% |
Health Statistics Comparison: Buckner vs Shelbina
- In Shelbina, a higher percentage report poor mental health at 19.2% compared to 14.3% in Buckner.
- Higher depression rates are seen in Shelbina at 26.4% versus 21.0% in Buckner.
- Shelbina has a higher smoking rate at 23.4% compared to 17.3% in Buckner.
- Binge drinking is more common in Buckner at 19.0% compared to 17.6% in Shelbina.
- Shelbina has higher obesity rates at 39.6% compared to 33.8% in Buckner.
- There is a higher percentage of disabled individuals in Shelbina at 20.0% compared to 5.0% in Buckner.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Buckner | Shelbina |
|---|---|---|
| No Schooling | 0.6% (21) | 0.2% (3) |
| High School Diploma | 3.3% (121) | 31.1% (492) |
| Less than High School | 8.7% (320) | 17.6% (279) |
| Bachelor's Degree and Higher | 36.6% (1,339) | 14.2% (225) |
Education Levels Comparison: Buckner vs Shelbina
- A higher percentage of residents in Buckner have no formal schooling at 0.6% compared to 0.2% in Shelbina.
- In Shelbina, the rate of residents with high school diplomas is higher at 31.1% compared to 3.3% in Buckner.
- The percentage of residents with less than a high school education is higher in Shelbina at 17.6%, compared to 8.7% in Buckner.
- A higher percentage of residents in Buckner hold a bachelor's degree or higher at 36.6% compared to 14.2% in Shelbina.
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.