Demographics details for Cottage grove, MN vs Columbus, OH
Population Overview
Compare main population characteristics in Cottage grove, MN vs Columbus, OH.
Data | Cottage grove | Columbus |
---|---|---|
Population | 41,033 | 907,971 |
Median Age | 36.8 years | 32.7 years |
Median Income | $117,673 | $62,994 |
Married Families | 44.0% | 29.0% |
Poverty Level | 5% | 14% |
Unemployment Rate | 3.9 | 5.0 |
Population Comparison: Cottage grove vs Columbus
- The population in Columbus is higher at 907,971, compared to 41,033 in Cottage grove.
- Residents in Cottage grove have a higher median age of 36.8 years compared to 32.7 years in Columbus.
- Cottage grove has a higher median income of $117,673 compared to $62,994 in Columbus.
- A higher percentage of married families is found in Cottage grove at 44.0% compared to 29.0% in Columbus.
- The poverty level is higher in Columbus at 14%, compared to 5% in Cottage grove.
- Columbus has a higher unemployment rate at 5.0% compared to 3.9% in Cottage grove.
Demographics
Demographics Cottage grove vs Columbus provide insight into the diversity of the communities to compare.
Demographic | Cottage grove | Columbus |
---|---|---|
Black | 6 | 29 |
White | 77 | 51 |
Asian | 6 | 6 |
Hispanic | 5 | 7 |
Two or More Races | 6 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cottage grove vs Columbus
- In Columbus, the percentage of Black residents is higher at 29% compared to 6% in Cottage grove.
- Cottage grove has a higher percentage of White residents at 77% compared to 51% in Columbus.
- Both Cottage grove and Columbus have the same percentage of Asian residents at 6%.
- Columbus has a higher percentage of Hispanic residents at 7%, compared to 5% in Cottage grove.
- The percentage of residents identifying as two or more races is higher in Columbus at 7%, compared to 6% in Cottage grove.
- The percentage of American Indian residents is the same in both Cottage grove and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cottage grove | Columbus |
---|---|---|
Mental Health Not Good | 13.4% | 18.4% |
Physical Health Not Good | 7.8% | 12.2% |
Depression | 22.5% | 23.9% |
Smoking | 13.2% | 19.6% |
Binge Drinking | 21.6% | 17.7% |
Obesity | 31.3% | 38.0% |
Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Cottage grove vs Columbus
- In Columbus, a higher percentage report poor mental health at 18.4% compared to 13.4% in Cottage grove.
- Higher depression rates are seen in Columbus at 23.9% versus 22.5% in Cottage grove.
- Columbus has a higher smoking rate at 19.6% compared to 13.2% in Cottage grove.
- Binge drinking is more common in Cottage grove at 21.6% compared to 17.7% in Columbus.
- Columbus has higher obesity rates at 38.0% compared to 31.3% in Cottage grove.
- There is a higher percentage of disabled individuals in Columbus at 11.0% compared to 8.0% in Cottage grove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cottage grove | Columbus |
---|---|---|
No Schooling | 1.1% (445) | 1.4% (12,592) |
High School Diploma | 12.5% (5,134) | 14.4% (130,716) |
Less than High School | 4.8% (1,981) | 9.7% (87,770) |
Bachelor's Degree and Higher | 24.1% (9,896) | 25.2% (229,071) |
Education Levels Comparison: Cottage grove vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.4% compared to 1.1% in Cottage grove.
- In Columbus, the rate of residents with high school diplomas is higher at 14.4% compared to 12.5% in Cottage grove.
- The percentage of residents with less than a high school education is higher in Columbus at 9.7%, compared to 4.8% in Cottage grove.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 25.2% compared to 24.1% in Cottage grove.
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.