Demographics details for Chester, VA vs Columbus, IN
Population Overview
Compare main population characteristics in Chester, VA vs Columbus, IN.
Data | Chester | Columbus |
---|---|---|
Population | 23,068 | 51,268 |
Median Age | 40.6 years | 35.8 years |
Median Income | $87,242 | $75,114 |
Married Families | 42.0% | 41.0% |
Poverty Level | 5% | 9% |
Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Chester vs Columbus
- The population in Columbus is higher at 51,268, compared to 23,068 in Chester.
- Residents in Chester have a higher median age of 40.6 years compared to 35.8 years in Columbus.
- Chester has a higher median income of $87,242 compared to $75,114 in Columbus.
- A higher percentage of married families is found in Chester at 42.0% compared to 41.0% in Columbus.
- The poverty level is higher in Columbus at 9%, compared to 5% in Chester.
- Columbus has a higher unemployment rate at 4.0% compared to 3.5% in Chester.
Demographics
Demographics Chester vs Columbus provide insight into the diversity of the communities to compare.
Demographic | Chester | Columbus |
---|---|---|
Black | 25 | 2 |
White | 55 | 71 |
Asian | 2 | 13 |
Hispanic | 11 | 9 |
Two or More Races | 6 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Chester vs Columbus
- A higher percentage of Black residents are in Chester at 25% compared to 2% in Columbus.
- The percentage of White residents is higher in Columbus at 71% compared to 55% in Chester.
- In Columbus, the Asian population stands at 13%, greater than 2% in Chester.
- The Hispanic community is larger in Chester at 11% compared to 9% in Columbus.
- More residents identify as two or more races in Chester at 6% compared to 5% in Columbus.
- A greater percentage of American Indian residents live in Chester at 1% compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Chester | Columbus |
---|---|---|
Mental Health Not Good | 16.6% | 15.6% |
Physical Health Not Good | 10.0% | 10.3% |
Depression | 21.3% | 24.1% |
Smoking | 15.3% | 16.3% |
Binge Drinking | 18.4% | 16.3% |
Obesity | 36.5% | 36.7% |
Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Chester vs Columbus
- More residents in Chester report poor mental health at 16.6% compared to 15.6% in Columbus.
- Higher depression rates are seen in Columbus at 24.1% versus 21.3% in Chester.
- Columbus has a higher smoking rate at 16.3% compared to 15.3% in Chester.
- Binge drinking is more common in Chester at 18.4% compared to 16.3% in Columbus.
- Columbus has higher obesity rates at 36.7% compared to 36.5% in Chester.
- There is a higher percentage of disabled individuals in Columbus at 13.0% compared to 11.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Chester | Columbus |
---|---|---|
No Schooling | 1.5% (344) | 0.8% (398) |
High School Diploma | 16.8% (3,871) | 14.3% (7,340) |
Less than High School | 11.9% (2,738) | 9.1% (4,677) |
Bachelor's Degree and Higher | 22.3% (5,134) | 28.1% (14,382) |
Education Levels Comparison: Chester vs Columbus
- A higher percentage of residents in Chester have no formal schooling at 1.5% compared to 0.8% in Columbus.
- A higher percentage of residents in Chester hold a high school diploma at 16.8% compared to 14.3% in Columbus.
- More residents in Chester have less than a high school education at 11.9% compared to 9.1% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 28.1% compared to 22.3% 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.