Demographics details for Chapman, KS vs Bloomington, CA
Population Overview
Compare main population characteristics in Chapman, KS vs Bloomington, CA.
Data | Chapman | Bloomington |
---|---|---|
Population | 1,371 | 23,051 |
Median Age | 41.4 years | 32.5 years |
Median Income | $66,964 | $74,414 |
Married Families | 33.0% | 37.0% |
Poverty Level | 8% | 15% |
Unemployment Rate | 3.1 | 7.5 |
Population Comparison: Chapman vs Bloomington
- The population in Bloomington is higher at 23,051, compared to 1,371 in Chapman.
- Residents in Chapman have a higher median age of 41.4 years compared to 32.5 years in Bloomington.
- Bloomington has a higher median income of $74,414, compared to $66,964 in Chapman.
- In Bloomington, the percentage of married families is higher at 37.0%, compared to 33.0% in Chapman.
- The poverty level is higher in Bloomington at 15%, compared to 8% in Chapman.
- Bloomington has a higher unemployment rate at 7.5% compared to 3.1% in Chapman.
Demographics
Demographics Chapman vs Bloomington provide insight into the diversity of the communities to compare.
Demographic | Chapman | Bloomington |
---|---|---|
Black | Data is updating | 1 |
White | 81 | -9 |
Asian | 3 | 1 |
Hispanic | 7 | 88 |
Two or More Races | 7 | 18 |
American Indian | 2 | 1 |
Demographics Comparison: Chapman vs Bloomington
- In Bloomington, the percentage of Black residents is higher at 1% compared to 0% in Chapman.
- Chapman has a higher percentage of White residents at 81% compared to -9% in Bloomington.
- The Asian population is larger in Chapman at 3% compared to 1% in Bloomington.
- Bloomington has a higher percentage of Hispanic residents at 88%, compared to 7% in Chapman.
- The percentage of residents identifying as two or more races is higher in Bloomington at 18%, compared to 7% in Chapman.
- A greater percentage of American Indian residents live in Chapman at 2% compared to 1% in Bloomington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Chapman | Bloomington |
---|---|---|
Mental Health Not Good | 15.7% | 17.4% |
Physical Health Not Good | 9.5% | 14.7% |
Depression | 21.4% | 18.2% |
Smoking | 16.6% | 14.4% |
Binge Drinking | 20.2% | 14.9% |
Obesity | 37.3% | 41.1% |
Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Chapman vs Bloomington
- In Bloomington, a higher percentage report poor mental health at 17.4% compared to 15.7% in Chapman.
- Depression is more prevalent in Chapman at 21.4% compared to 18.2% in Bloomington.
- Smoking is more prevalent in Chapman at 16.6% compared to 14.4% in Bloomington.
- Binge drinking is more common in Chapman at 20.2% compared to 14.9% in Bloomington.
- Bloomington has higher obesity rates at 41.1% compared to 37.3% in Chapman.
- Disability percentages are higher in Chapman at 14.0% compared to 10.0% in Bloomington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Chapman | Bloomington |
---|---|---|
No Schooling | 0.0% (Data is updating) | 3.9% (906) |
High School Diploma | 12.3% (168) | 15.7% (3,618) |
Less than High School | 5.1% (70) | 48.5% (11,184) |
Bachelor's Degree and Higher | 15.5% (212) | 5.9% (1,351) |
Education Levels Comparison: Chapman vs Bloomington
- In Bloomington, a larger percentage of residents lack formal schooling at 3.9% compared to 0.0% in Chapman.
- In Bloomington, the rate of residents with high school diplomas is higher at 15.7% compared to 12.3% in Chapman.
- The percentage of residents with less than a high school education is higher in Bloomington at 48.5%, compared to 5.1% in Chapman.
- A higher percentage of residents in Chapman hold a bachelor's degree or higher at 15.5% compared to 5.9% in Bloomington.
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.