Demographics details for Marana, AZ vs Columbus, IN
Population Overview
Compare main population characteristics in Marana, AZ vs Columbus, IN.
Data | Marana | Columbus |
---|---|---|
Population | 55,962 | 51,268 |
Median Age | 41.4 years | 35.8 years |
Median Income | $105,624 | $75,114 |
Married Families | 48.0% | 41.0% |
Poverty Level | 7% | 9% |
Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Marana vs Columbus
- In Marana, the population is higher at 55,962, compared to 51,268 in Columbus.
- Residents in Marana have a higher median age of 41.4 years compared to 35.8 years in Columbus.
- Marana has a higher median income of $105,624 compared to $75,114 in Columbus.
- A higher percentage of married families is found in Marana at 48.0% compared to 41.0% in Columbus.
- The poverty level is higher in Columbus at 9%, compared to 7% in Marana.
- Columbus has a higher unemployment rate at 4.0% compared to 3.2% in Marana.
Demographics
Demographics Marana vs Columbus provide insight into the diversity of the communities to compare.
Demographic | Marana | Columbus |
---|---|---|
Black | 4 | 2 |
White | 51 | 71 |
Asian | 4 | 13 |
Hispanic | 27 | 9 |
Two or More Races | 13 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Marana vs Columbus
- A higher percentage of Black residents are in Marana at 4% compared to 2% in Columbus.
- The percentage of White residents is higher in Columbus at 71% compared to 51% in Marana.
- In Columbus, the Asian population stands at 13%, greater than 4% in Marana.
- The Hispanic community is larger in Marana at 27% compared to 9% in Columbus.
- More residents identify as two or more races in Marana at 13% compared to 5% in Columbus.
- A greater percentage of American Indian residents live in Marana at 1% compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marana | Columbus |
---|---|---|
Mental Health Not Good | 15.3% | 15.6% |
Physical Health Not Good | 8.9% | 10.3% |
Depression | 21.9% | 24.1% |
Smoking | 12.0% | 16.3% |
Binge Drinking | 19.1% | 16.3% |
Obesity | 28.4% | 36.7% |
Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Marana vs Columbus
- In Columbus, a higher percentage report poor mental health at 15.6% compared to 15.3% in Marana.
- Higher depression rates are seen in Columbus at 24.1% versus 21.9% in Marana.
- Columbus has a higher smoking rate at 16.3% compared to 12.0% in Marana.
- Binge drinking is more common in Marana at 19.1% compared to 16.3% in Columbus.
- Columbus has higher obesity rates at 36.7% compared to 28.4% in Marana.
- There is a higher percentage of disabled individuals in Columbus at 13.0% compared to 11.0% in Marana.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marana | Columbus |
---|---|---|
No Schooling | 0.7% (369) | 0.8% (398) |
High School Diploma | 10.4% (5,802) | 14.3% (7,340) |
Less than High School | 4.7% (2,658) | 9.1% (4,677) |
Bachelor's Degree and Higher | 31.0% (17,364) | 28.1% (14,382) |
Education Levels Comparison: Marana vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 0.8% compared to 0.7% in Marana.
- In Columbus, the rate of residents with high school diplomas is higher at 14.3% compared to 10.4% in Marana.
- The percentage of residents with less than a high school education is higher in Columbus at 9.1%, compared to 4.7% in Marana.
- A higher percentage of residents in Marana hold a bachelor's degree or higher at 31.0% compared to 28.1% in Columbus.
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.