Demographics details for Topeka, KS vs Berkshire, NY
Population Overview
Compare main population characteristics in Topeka, KS vs Berkshire, NY.
Data | Topeka | Berkshire |
---|---|---|
Population | 125,449 | 1,412 |
Median Age | 37.9 years | 38.0 years |
Median Income | $54,052 | $60,000 |
Married Families | 34.0% | 45.0% |
Poverty Level | 14% | 10% |
Unemployment Rate | 3.7 | 5.0 |
Population Comparison: Topeka vs Berkshire
- In Topeka, the population is higher at 125,449, compared to 1,412 in Berkshire.
- The median age in Berkshire is higher at 38.0 years, compared to 37.9 years in Topeka.
- Berkshire has a higher median income of $60,000, compared to $54,052 in Topeka.
- In Berkshire, the percentage of married families is higher at 45.0%, compared to 34.0% in Topeka.
- Topeka has a higher poverty level at 14% compared to 10% in Berkshire.
- Berkshire has a higher unemployment rate at 5.0% compared to 3.7% in Topeka.
Demographics
Demographics Topeka vs Berkshire provide insight into the diversity of the communities to compare.
Demographic | Topeka | Berkshire |
---|---|---|
Black | 10 | Data is updating |
White | 62 | 95 |
Asian | 2 | Data is updating |
Hispanic | 16 | 2 |
Two or More Races | 9 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Topeka vs Berkshire
- A higher percentage of Black residents are in Topeka at 10% compared to 0% in Berkshire.
- The percentage of White residents is higher in Berkshire at 95% compared to 62% in Topeka.
- The Asian population is larger in Topeka at 2% compared to 0% in Berkshire.
- The Hispanic community is larger in Topeka at 16% compared to 2% in Berkshire.
- More residents identify as two or more races in Topeka at 9% compared to 3% in Berkshire.
- A greater percentage of American Indian residents live in Topeka at 1% compared to 0% in Berkshire.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Topeka | Berkshire |
---|---|---|
Mental Health Not Good | 18.3% | Data is updating% |
Physical Health Not Good | 11.3% | Data is updating% |
Depression | 25.5% | Data is updating% |
Smoking | 20.8% | Data is updating% |
Binge Drinking | 16.9% | Data is updating% |
Obesity | 41.0% | Data is updating% |
Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Topeka vs Berkshire
- More residents in Topeka report poor mental health at 18.3% compared to 0.0% in Berkshire.
- Depression is more prevalent in Topeka at 25.5% compared to 0.0% in Berkshire.
- Smoking is more prevalent in Topeka at 20.8% compared to 0.0% in Berkshire.
- Binge drinking is more common in Topeka at 16.9% compared to 0.0% in Berkshire.
- Obesity rates are higher in Topeka at 41.0% compared to 0.0% in Berkshire.
- Disability percentages are higher in Topeka at 15.0% compared to 0.0% in Berkshire.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Topeka | Berkshire |
---|---|---|
No Schooling | 1.1% (1,326) | 0.0% (Data is updating) |
High School Diploma | 17.2% (21,594) | 0.0% (Data is updating) |
Less than High School | 10.9% (13,657) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 19.3% (24,214) | 0.0% (Data is updating) |
Education Levels Comparison: Topeka vs Berkshire
- A higher percentage of residents in Topeka have no formal schooling at 1.1% compared to 0.0% in Berkshire.
- A higher percentage of residents in Topeka hold a high school diploma at 17.2% compared to 0.0% in Berkshire.
- More residents in Topeka have less than a high school education at 10.9% compared to 0.0% in Berkshire.
- A higher percentage of residents in Topeka hold a bachelor's degree or higher at 19.3% compared to 0.0% in Berkshire.
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.