Demographics details for Windsor, CT vs Columbus, MS
Population Overview
Compare main population characteristics in Windsor, CT vs Columbus, MS.
Data | Windsor | Columbus |
---|---|---|
Population | 29,044 | 23,273 |
Median Age | 40.0 years | 38.5 years |
Median Income | $87,000 | $38,954 |
Married Families | 55.0% | 25.0% |
Poverty Level | 7% | 19% |
Unemployment Rate | 2.8 | 3.8 |
Population Comparison: Windsor vs Columbus
- In Windsor, the population is higher at 29,044, compared to 23,273 in Columbus.
- Residents in Windsor have a higher median age of 40.0 years compared to 38.5 years in Columbus.
- Windsor has a higher median income of $87,000 compared to $38,954 in Columbus.
- A higher percentage of married families is found in Windsor at 55.0% compared to 25.0% in Columbus.
- The poverty level is higher in Columbus at 19%, compared to 7% in Windsor.
- Columbus has a higher unemployment rate at 3.8% compared to 2.8% in Windsor.
Demographics
Demographics Windsor vs Columbus provide insight into the diversity of the communities to compare.
Demographic | Windsor | Columbus |
---|---|---|
Black | 12 | 66 |
White | 76 | 28 |
Asian | 5 | 2 |
Hispanic | 7 | 2 |
Two or More Races | 5 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Windsor vs Columbus
- In Columbus, the percentage of Black residents is higher at 66% compared to 12% in Windsor.
- Windsor has a higher percentage of White residents at 76% compared to 28% in Columbus.
- The Asian population is larger in Windsor at 5% compared to 2% in Columbus.
- The Hispanic community is larger in Windsor at 7% compared to 2% in Columbus.
- More residents identify as two or more races in Windsor at 5% compared to 2% in Columbus.
- The percentage of American Indian residents is the same in both Windsor and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Windsor | Columbus |
---|---|---|
Mental Health Not Good | Data is updating% | 17.4% |
Physical Health Not Good | Data is updating% | 13.6% |
Depression | Data is updating% | 20.0% |
Smoking | Data is updating% | 21.0% |
Binge Drinking | Data is updating% | 11.8% |
Obesity | Data is updating% | 44.8% |
Disability Percentage | Data is updating% | 12.0% |
Health Statistics Comparison: Windsor vs Columbus
- In Columbus, a higher percentage report poor mental health at 17.4% compared to 0.0% in Windsor.
- Higher depression rates are seen in Columbus at 20.0% versus 0.0% in Windsor.
- Columbus has a higher smoking rate at 21.0% compared to 0.0% in Windsor.
- More residents engage in binge drinking in Columbus at 11.8% compared to 0.0% in Windsor.
- Columbus has higher obesity rates at 44.8% compared to 0.0% in Windsor.
- There is a higher percentage of disabled individuals in Columbus at 12.0% compared to 0.0% in Windsor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Windsor | Columbus |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (260) |
High School Diploma | 0.0% (Data is updating) | 18.4% (4,272) |
Less than High School | 0.0% (Data is updating) | 11.0% (2,559) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 17.1% (3,971) |
Education Levels Comparison: Windsor vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Windsor.
- In Columbus, the rate of residents with high school diplomas is higher at 18.4% compared to 0.0% in Windsor.
- The percentage of residents with less than a high school education is higher in Columbus at 11.0%, compared to 0.0% in Windsor.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 17.1% compared to 0.0% in Windsor.
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.