Demographics details for Bucklin, MO vs Taylorville, IL
Population Overview
Compare main population characteristics in Bucklin, MO vs Taylorville, IL.
Data | Bucklin | Taylorville |
---|---|---|
Population | 408 | 10,312 |
Median Age | 41.9 years | 38.2 years |
Median Income | $39,813 | $49,471 |
Married Families | 46.0% | 35.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Bucklin vs Taylorville
- The population in Taylorville is higher at 10,312, compared to 408 in Bucklin.
- Residents in Bucklin have a higher median age of 41.9 years compared to 38.2 years in Taylorville.
- Taylorville has a higher median income of $49,471, compared to $39,813 in Bucklin.
- A higher percentage of married families is found in Bucklin at 46.0% compared to 35.0% in Taylorville.
- The poverty level is identical in both Bucklin and Taylorville at 10%.
- The unemployment rate is the same in both Bucklin and Taylorville at 3.5%.
Demographics
Demographics Bucklin vs Taylorville provide insight into the diversity of the communities to compare.
Demographic | Bucklin | Taylorville |
---|---|---|
Black | Data is updating | 6 |
White | 93 | 91 |
Asian | Data is updating | 2 |
Hispanic | 3 | Data is updating |
Two or More Races | 4 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Bucklin vs Taylorville
- In Taylorville, the percentage of Black residents is higher at 6% compared to 0% in Bucklin.
- Bucklin has a higher percentage of White residents at 93% compared to 91% in Taylorville.
- In Taylorville, the Asian population stands at 2%, greater than 0% in Bucklin.
- The Hispanic community is larger in Bucklin at 3% compared to 0% in Taylorville.
- More residents identify as two or more races in Bucklin at 4% compared to 1% in Taylorville.
- The percentage of American Indian residents is the same in both Bucklin and Taylorville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bucklin | Taylorville |
---|---|---|
Mental Health Not Good | 16.8% | 17.9% |
Physical Health Not Good | 11.4% | 12.6% |
Depression | 24.6% | 22.9% |
Smoking | 19.3% | 20.7% |
Binge Drinking | 18.1% | 17.2% |
Obesity | 36.2% | 39.7% |
Disability Percentage | 12.0% | 16.0% |
Health Statistics Comparison: Bucklin vs Taylorville
- In Taylorville, a higher percentage report poor mental health at 17.9% compared to 16.8% in Bucklin.
- Depression is more prevalent in Bucklin at 24.6% compared to 22.9% in Taylorville.
- Taylorville has a higher smoking rate at 20.7% compared to 19.3% in Bucklin.
- Binge drinking is more common in Bucklin at 18.1% compared to 17.2% in Taylorville.
- Taylorville has higher obesity rates at 39.7% compared to 36.2% in Bucklin.
- There is a higher percentage of disabled individuals in Taylorville at 16.0% compared to 12.0% in Bucklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bucklin | Taylorville |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.6% (63) |
High School Diploma | 29.2% (119) | 28.5% (2,938) |
Less than High School | 10.8% (44) | 9.1% (938) |
Bachelor's Degree and Higher | 15.0% (61) | 13.6% (1,406) |
Education Levels Comparison: Bucklin vs Taylorville
- In Taylorville, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Bucklin.
- A higher percentage of residents in Bucklin hold a high school diploma at 29.2% compared to 28.5% in Taylorville.
- More residents in Bucklin have less than a high school education at 10.8% compared to 9.1% in Taylorville.
- A higher percentage of residents in Bucklin hold a bachelor's degree or higher at 15.0% compared to 13.6% in Taylorville.
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.