Demographics details for Chester, VA vs Baltimore, MD
Population Overview
Compare main population characteristics in Chester, VA vs Baltimore, MD.
Data | Chester | Baltimore |
---|---|---|
Population | 23,068 | 569,931 |
Median Age | 40.6 years | 36.0 years |
Median Income | $87,242 | $58,349 |
Married Families | 42.0% | 23.0% |
Poverty Level | 5% | 16% |
Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Chester vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 23,068 in Chester.
- Residents in Chester have a higher median age of 40.6 years compared to 36.0 years in Baltimore.
- Chester has a higher median income of $87,242 compared to $58,349 in Baltimore.
- A higher percentage of married families is found in Chester at 42.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 5% in Chester.
- Baltimore has a higher unemployment rate at 4.3% compared to 3.5% in Chester.
Demographics
Demographics Chester vs Baltimore provide insight into the diversity of the communities to compare.
Demographic | Chester | Baltimore |
---|---|---|
Black | 25 | 63 |
White | 55 | 23 |
Asian | 2 | 3 |
Hispanic | 11 | 6 |
Two or More Races | 6 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Chester vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 25% in Chester.
- Chester has a higher percentage of White residents at 55% compared to 23% in Baltimore.
- In Baltimore, the Asian population stands at 3%, greater than 2% in Chester.
- The Hispanic community is larger in Chester at 11% compared to 6% in Baltimore.
- More residents identify as two or more races in Chester at 6% compared to 5% in Baltimore.
- A greater percentage of American Indian residents live in Chester at 1% compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Chester | Baltimore |
---|---|---|
Mental Health Not Good | 16.6% | 17.9% |
Physical Health Not Good | 10.0% | 12.3% |
Depression | 21.3% | 20.2% |
Smoking | 15.3% | 19.8% |
Binge Drinking | 18.4% | 15.4% |
Obesity | 36.5% | 37.1% |
Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Chester vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 16.6% in Chester.
- Depression is more prevalent in Chester at 21.3% compared to 20.2% in Baltimore.
- Baltimore has a higher smoking rate at 19.8% compared to 15.3% in Chester.
- Binge drinking is more common in Chester at 18.4% compared to 15.4% in Baltimore.
- Baltimore has higher obesity rates at 37.1% compared to 36.5% in Chester.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% 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 | Baltimore |
---|---|---|
No Schooling | 1.5% (344) | 1.2% (6,683) |
High School Diploma | 16.8% (3,871) | 16.8% (95,744) |
Less than High School | 11.9% (2,738) | 11.9% (67,970) |
Bachelor's Degree and Higher | 22.3% (5,134) | 25.1% (143,174) |
Education Levels Comparison: Chester vs Baltimore
- A higher percentage of residents in Chester have no formal schooling at 1.5% compared to 1.2% in Baltimore.
- Both cities have the same percentage of residents with high school diplomas at 16.8%.
- Both cities report the same percentage of residents with less than a high school education at 11.9%.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% 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.