Demographics details for North webster, IN vs Chester, VA
Population Overview
Compare main population characteristics in North webster, IN vs Chester, VA.
Data | North webster | Chester |
---|---|---|
Population | 1,002 | 23,068 |
Median Age | 43.6 years | 40.6 years |
Median Income | $58,421 | $87,242 |
Married Families | 32.0% | 42.0% |
Poverty Level | 10% | 5% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: North webster vs Chester
- The population in Chester is higher at 23,068, compared to 1,002 in North webster.
- Residents in North webster have a higher median age of 43.6 years compared to 40.6 years in Chester.
- Chester has a higher median income of $87,242, compared to $58,421 in North webster.
- In Chester, the percentage of married families is higher at 42.0%, compared to 32.0% in North webster.
- North webster has a higher poverty level at 10% compared to 5% in Chester.
- The unemployment rate is the same in both North webster and Chester at 3.5%.
Demographics
Demographics North webster vs Chester provide insight into the diversity of the communities to compare.
Demographic | North webster | Chester |
---|---|---|
Black | Data is updating | 25 |
White | 98 | 55 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 11 |
Two or More Races | 2 | 6 |
American Indian | Data is updating | 1 |
Demographics Comparison: North webster vs Chester
- In Chester, the percentage of Black residents is higher at 25% compared to 0% in North webster.
- North webster has a higher percentage of White residents at 98% compared to 55% in Chester.
- In Chester, the Asian population stands at 2%, greater than 0% in North webster.
- Chester has a higher percentage of Hispanic residents at 11%, compared to 0% in North webster.
- The percentage of residents identifying as two or more races is higher in Chester at 6%, compared to 2% in North webster.
- In Chester, the percentage of American Indian residents is higher at 1%, compared to 0% in North webster.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | North webster | Chester |
---|---|---|
Mental Health Not Good | 16.6% | 16.6% |
Physical Health Not Good | 10.7% | 10.0% |
Depression | 25.4% | 21.3% |
Smoking | 19.0% | 15.3% |
Binge Drinking | 18.3% | 18.4% |
Obesity | 36.2% | 36.5% |
Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: North webster vs Chester
- Poor mental health levels are equal in both North webster and Chester at 16.6%.
- Depression is more prevalent in North webster at 25.4% compared to 21.3% in Chester.
- Smoking is more prevalent in North webster at 19.0% compared to 15.3% in Chester.
- More residents engage in binge drinking in Chester at 18.4% compared to 18.3% in North webster.
- Chester has higher obesity rates at 36.5% compared to 36.2% in North webster.
- Disability percentages are higher in North webster 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 | North webster | Chester |
---|---|---|
No Schooling | 0.2% (2) | 1.5% (344) |
High School Diploma | 23.2% (232) | 16.8% (3,871) |
Less than High School | 7.8% (78) | 11.9% (2,738) |
Bachelor's Degree and Higher | 9.6% (96) | 22.3% (5,134) |
Education Levels Comparison: North webster vs Chester
- In Chester, a larger percentage of residents lack formal schooling at 1.5% compared to 0.2% in North webster.
- A higher percentage of residents in North webster hold a high school diploma at 23.2% compared to 16.8% in Chester.
- The percentage of residents with less than a high school education is higher in Chester at 11.9%, compared to 7.8% in North webster.
- In Chester, a larger share of residents have a bachelor's degree or higher at 22.3% compared to 9.6% in North webster.
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.