Demographics details for Chester, IA vs Boomer, NC
Population Overview
Compare main population characteristics in Chester, IA vs Boomer, NC.
| Data | Chester | Boomer |
|---|---|---|
| Population | 138 | 1,213 |
| Median Age | 38.5 years | 53.9 years |
| Median Income | $52,083 | $50,367 |
| Married Families | 44.0% | 44.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Chester vs Boomer
- The population in Boomer is higher at 1,213, compared to 138 in Chester.
- The median age in Boomer is higher at 53.9 years, compared to 38.5 years in Chester.
- Chester has a higher median income of $52,083 compared to $50,367 in Boomer.
- The percentage of married families is the same in both Chester and Boomer at 44.0%.
- The poverty level is higher in Boomer at 12%, compared to 5% in Chester.
- The unemployment rate is the same in both Chester and Boomer at 3.5%.
Demographics
Demographics Chester vs Boomer provide insight into the diversity of the communities to compare.
| Demographic | Chester | Boomer |
|---|---|---|
| Black | Data is updating | 5 |
| White | 98 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 2 |
| Two or More Races | 1 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Chester vs Boomer
- In Boomer, the percentage of Black residents is higher at 5% compared to 0% in Chester.
- Chester has a higher percentage of White residents at 98% compared to 91% in Boomer.
- Both Chester and Boomer have the same percentage of Asian residents at 0%.
- Boomer has a higher percentage of Hispanic residents at 2%, compared to 1% in Chester.
- The percentage of residents identifying as two or more races is higher in Boomer at 2%, compared to 1% in Chester.
- The percentage of American Indian residents is the same in both Chester and Boomer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Boomer |
|---|---|---|
| Mental Health Not Good | 15.9% | Data is updating% |
| Physical Health Not Good | 10.7% | Data is updating% |
| Depression | 18.7% | Data is updating% |
| Smoking | 20.1% | Data is updating% |
| Binge Drinking | 21.8% | Data is updating% |
| Obesity | 36.4% | Data is updating% |
| Disability Percentage | 9.0% | 18.0% |
Health Statistics Comparison: Chester vs Boomer
- More residents in Chester report poor mental health at 15.9% compared to 0.0% in Boomer.
- Depression is more prevalent in Chester at 18.7% compared to 0.0% in Boomer.
- Smoking is more prevalent in Chester at 20.1% compared to 0.0% in Boomer.
- Binge drinking is more common in Chester at 21.8% compared to 0.0% in Boomer.
- Obesity rates are higher in Chester at 36.4% compared to 0.0% in Boomer.
- There is a higher percentage of disabled individuals in Boomer at 18.0% compared to 9.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | Boomer |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 25.4% (35) | 21.2% (257) |
| Less than High School | 13.0% (18) | 25.9% (314) |
| Bachelor's Degree and Higher | 5.8% (8) | 9.6% (116) |
Education Levels Comparison: Chester vs Boomer
- The percentage of residents with no formal schooling is the same in both Chester and Boomer at 0.0%.
- A higher percentage of residents in Chester hold a high school diploma at 25.4% compared to 21.2% in Boomer.
- The percentage of residents with less than a high school education is higher in Boomer at 25.9%, compared to 13.0% in Chester.
- In Boomer, a larger share of residents have a bachelor's degree or higher at 9.6% compared to 5.8% in Chester.
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.