Demographics details for Greeley, CO vs Columbus, IN
Population Overview
Compare main population characteristics in Greeley, CO vs Columbus, IN.
Data | Greeley | Columbus |
---|---|---|
Population | 109,209 | 51,268 |
Median Age | 31.9 years | 35.8 years |
Median Income | $65,525 | $75,114 |
Married Families | 36.0% | 41.0% |
Poverty Level | 12% | 9% |
Unemployment Rate | 4.8 | 4.0 |
Population Comparison: Greeley vs Columbus
- In Greeley, the population is higher at 109,209, compared to 51,268 in Columbus.
- The median age in Columbus is higher at 35.8 years, compared to 31.9 years in Greeley.
- Columbus has a higher median income of $75,114, compared to $65,525 in Greeley.
- In Columbus, the percentage of married families is higher at 41.0%, compared to 36.0% in Greeley.
- Greeley has a higher poverty level at 12% compared to 9% in Columbus.
- The unemployment rate in Greeley is higher at 4.8%, compared to 4.0% in Columbus.
Demographics
Demographics Greeley vs Columbus provide insight into the diversity of the communities to compare.
Demographic | Greeley | Columbus |
---|---|---|
Black | 3 | 2 |
White | 45 | 71 |
Asian | 1 | 13 |
Hispanic | 39 | 9 |
Two or More Races | 11 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Greeley vs Columbus
- A higher percentage of Black residents are in Greeley at 3% compared to 2% in Columbus.
- The percentage of White residents is higher in Columbus at 71% compared to 45% in Greeley.
- In Columbus, the Asian population stands at 13%, greater than 1% in Greeley.
- The Hispanic community is larger in Greeley at 39% compared to 9% in Columbus.
- More residents identify as two or more races in Greeley at 11% compared to 5% in Columbus.
- A greater percentage of American Indian residents live in Greeley at 1% compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Greeley | Columbus |
---|---|---|
Mental Health Not Good | 17.0% | 15.6% |
Physical Health Not Good | 12.3% | 10.3% |
Depression | 21.4% | 24.1% |
Smoking | 16.5% | 16.3% |
Binge Drinking | 16.7% | 16.3% |
Obesity | 30.8% | 36.7% |
Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Greeley vs Columbus
- More residents in Greeley report poor mental health at 17.0% compared to 15.6% in Columbus.
- Higher depression rates are seen in Columbus at 24.1% versus 21.4% in Greeley.
- Smoking is more prevalent in Greeley at 16.5% compared to 16.3% in Columbus.
- Binge drinking is more common in Greeley at 16.7% compared to 16.3% in Columbus.
- Columbus has higher obesity rates at 36.7% compared to 30.8% in Greeley.
- There is a higher percentage of disabled individuals in Columbus at 13.0% compared to 11.0% in Greeley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Greeley | Columbus |
---|---|---|
No Schooling | 2.2% (2,416) | 0.8% (398) |
High School Diploma | 12.0% (13,106) | 14.3% (7,340) |
Less than High School | 19.3% (21,128) | 9.1% (4,677) |
Bachelor's Degree and Higher | 16.4% (17,877) | 28.1% (14,382) |
Education Levels Comparison: Greeley vs Columbus
- A higher percentage of residents in Greeley have no formal schooling at 2.2% compared to 0.8% in Columbus.
- In Columbus, the rate of residents with high school diplomas is higher at 14.3% compared to 12.0% in Greeley.
- More residents in Greeley have less than a high school education at 19.3% compared to 9.1% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 28.1% compared to 16.4% in Greeley.
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.