Demographics details for Topeka, KS vs Boones mill, VA
Population Overview
Compare main population characteristics in Topeka, KS vs Boones mill, VA.
| Data | Topeka | Boones mill |
|---|---|---|
| Population | 125,449 | 258 |
| Median Age | 37.9 years | 52.4 years |
| Median Income | $54,052 | $67,083 |
| Married Families | 34.0% | 37.0% |
| Poverty Level | 14% | 8% |
| Unemployment Rate | 3.7 | 3.5 |
Population Comparison: Topeka vs Boones mill
- In Topeka, the population is higher at 125,449, compared to 258 in Boones mill.
- The median age in Boones mill is higher at 52.4 years, compared to 37.9 years in Topeka.
- Boones mill has a higher median income of $67,083, compared to $54,052 in Topeka.
- In Boones mill, the percentage of married families is higher at 37.0%, compared to 34.0% in Topeka.
- Topeka has a higher poverty level at 14% compared to 8% in Boones mill.
- The unemployment rate in Topeka is higher at 3.7%, compared to 3.5% in Boones mill.
Demographics
Demographics Topeka vs Boones mill provide insight into the diversity of the communities to compare.
| Demographic | Topeka | Boones mill |
|---|---|---|
| Black | 10 | 2 |
| White | 62 | 96 |
| Asian | 2 | Data is updating |
| Hispanic | 16 | Data is updating |
| Two or More Races | 9 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Topeka vs Boones mill
- A higher percentage of Black residents are in Topeka at 10% compared to 2% in Boones mill.
- The percentage of White residents is higher in Boones mill at 96% compared to 62% in Topeka.
- The Asian population is larger in Topeka at 2% compared to 0% in Boones mill.
- The Hispanic community is larger in Topeka at 16% compared to 0% in Boones mill.
- More residents identify as two or more races in Topeka at 9% compared to 2% in Boones mill.
- A greater percentage of American Indian residents live in Topeka at 1% compared to 0% in Boones mill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Topeka | Boones mill |
|---|---|---|
| Mental Health Not Good | 18.3% | 17.6% |
| Physical Health Not Good | 11.3% | 11.6% |
| Depression | 25.5% | 24.8% |
| Smoking | 20.8% | 18.3% |
| Binge Drinking | 16.9% | 18.0% |
| Obesity | 41.0% | 35.6% |
| Disability Percentage | 15.0% | 11.0% |
Health Statistics Comparison: Topeka vs Boones mill
- More residents in Topeka report poor mental health at 18.3% compared to 17.6% in Boones mill.
- Depression is more prevalent in Topeka at 25.5% compared to 24.8% in Boones mill.
- Smoking is more prevalent in Topeka at 20.8% compared to 18.3% in Boones mill.
- More residents engage in binge drinking in Boones mill at 18.0% compared to 16.9% in Topeka.
- Obesity rates are higher in Topeka at 41.0% compared to 35.6% in Boones mill.
- Disability percentages are higher in Topeka at 15.0% compared to 11.0% in Boones mill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Topeka | Boones mill |
|---|---|---|
| No Schooling | 1.1% (1,326) | 2.3% (6) |
| High School Diploma | 17.2% (21,594) | 11.2% (29) |
| Less than High School | 10.9% (13,657) | 20.2% (52) |
| Bachelor's Degree and Higher | 19.3% (24,214) | 20.5% (53) |
Education Levels Comparison: Topeka vs Boones mill
- In Boones mill, a larger percentage of residents lack formal schooling at 2.3% compared to 1.1% in Topeka.
- A higher percentage of residents in Topeka hold a high school diploma at 17.2% compared to 11.2% in Boones mill.
- The percentage of residents with less than a high school education is higher in Boones mill at 20.2%, compared to 10.9% in Topeka.
- In Boones mill, a larger share of residents have a bachelor's degree or higher at 20.5% compared to 19.3% in Topeka.
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.