Demographics details for Madison, NC vs Chester, IL
Population Overview
Compare main population characteristics in Madison, NC vs Chester, IL.
Data | Madison | Chester |
---|---|---|
Population | 21,768 | 6,782 |
Median Age | 44.6 years | 43.2 years |
Median Income | $56,664 | $68,826 |
Married Families | 45.0% | 29.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.6 | 4.5 |
Population Comparison: Madison vs Chester
- In Madison, the population is higher at 21,768, compared to 6,782 in Chester.
- Residents in Madison have a higher median age of 44.6 years compared to 43.2 years in Chester.
- Chester has a higher median income of $68,826, compared to $56,664 in Madison.
- A higher percentage of married families is found in Madison at 45.0% compared to 29.0% in Chester.
- The poverty level is identical in both Madison and Chester at 10%.
- Chester has a higher unemployment rate at 4.5% compared to 3.6% in Madison.
Demographics
Demographics Madison vs Chester provide insight into the diversity of the communities to compare.
Demographic | Madison | Chester |
---|---|---|
Black | 1 | 27 |
White | 92 | 66 |
Asian | Data is updating | Data is updating |
Hispanic | 3 | 5 |
Two or More Races | 4 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Madison vs Chester
- In Chester, the percentage of Black residents is higher at 27% compared to 1% in Madison.
- Madison has a higher percentage of White residents at 92% compared to 66% in Chester.
- Both Madison and Chester have the same percentage of Asian residents at 0%.
- Chester has a higher percentage of Hispanic residents at 5%, compared to 3% in Madison.
- More residents identify as two or more races in Madison at 4% compared to 2% in Chester.
- The percentage of American Indian residents is the same in both Madison and Chester at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Madison | Chester |
---|---|---|
Mental Health Not Good | 16.5% | 16.3% |
Physical Health Not Good | 11.2% | 13.1% |
Depression | 26.3% | 18.6% |
Smoking | 17.4% | 22.6% |
Binge Drinking | 18.0% | 17.6% |
Obesity | 35.5% | 40.8% |
Disability Percentage | 17.0% | 15.0% |
Health Statistics Comparison: Madison vs Chester
- More residents in Madison report poor mental health at 16.5% compared to 16.3% in Chester.
- Depression is more prevalent in Madison at 26.3% compared to 18.6% in Chester.
- Chester has a higher smoking rate at 22.6% compared to 17.4% in Madison.
- Binge drinking is more common in Madison at 18.0% compared to 17.6% in Chester.
- Chester has higher obesity rates at 40.8% compared to 35.5% in Madison.
- Disability percentages are higher in Madison at 17.0% compared to 15.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Madison | Chester |
---|---|---|
No Schooling | 1.0% (208) | 1.4% (97) |
High School Diploma | 18.5% (4,035) | 23.9% (1,620) |
Less than High School | 15.5% (3,383) | 35.1% (2,380) |
Bachelor's Degree and Higher | 23.1% (5,029) | 6.6% (447) |
Education Levels Comparison: Madison vs Chester
- In Chester, a larger percentage of residents lack formal schooling at 1.4% compared to 1.0% in Madison.
- In Chester, the rate of residents with high school diplomas is higher at 23.9% compared to 18.5% in Madison.
- The percentage of residents with less than a high school education is higher in Chester at 35.1%, compared to 15.5% in Madison.
- A higher percentage of residents in Madison hold a bachelor's degree or higher at 23.1% compared to 6.6% 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.