Demographics details for Greeley, CO vs Shabbona, IL
Population Overview
Compare main population characteristics in Greeley, CO vs Shabbona, IL.
Data | Greeley | Shabbona |
---|---|---|
Population | 109,209 | 850 |
Median Age | 31.9 years | 53.7 years |
Median Income | $65,525 | $60,625 |
Married Families | 36.0% | 34.0% |
Poverty Level | 12% | 8% |
Unemployment Rate | 4.8 | 5.1 |
Population Comparison: Greeley vs Shabbona
- In Greeley, the population is higher at 109,209, compared to 850 in Shabbona.
- The median age in Shabbona is higher at 53.7 years, compared to 31.9 years in Greeley.
- Greeley has a higher median income of $65,525 compared to $60,625 in Shabbona.
- A higher percentage of married families is found in Greeley at 36.0% compared to 34.0% in Shabbona.
- Greeley has a higher poverty level at 12% compared to 8% in Shabbona.
- Shabbona has a higher unemployment rate at 5.1% compared to 4.8% in Greeley.
Demographics
Demographics Greeley vs Shabbona provide insight into the diversity of the communities to compare.
Demographic | Greeley | Shabbona |
---|---|---|
Black | 3 | 1 |
White | 45 | 94 |
Asian | 1 | Data is updating |
Hispanic | 39 | 3 |
Two or More Races | 11 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Greeley vs Shabbona
- A higher percentage of Black residents are in Greeley at 3% compared to 1% in Shabbona.
- The percentage of White residents is higher in Shabbona at 94% compared to 45% in Greeley.
- The Asian population is larger in Greeley at 1% compared to 0% in Shabbona.
- The Hispanic community is larger in Greeley at 39% compared to 3% in Shabbona.
- More residents identify as two or more races in Greeley at 11% compared to 2% in Shabbona.
- A greater percentage of American Indian residents live in Greeley at 1% compared to 0% in Shabbona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Greeley | Shabbona |
---|---|---|
Mental Health Not Good | 17.0% | 16.2% |
Physical Health Not Good | 12.3% | 10.5% |
Depression | 21.4% | 22.1% |
Smoking | 16.5% | 16.5% |
Binge Drinking | 16.7% | 18.8% |
Obesity | 30.8% | 36.3% |
Disability Percentage | 11.0% | 24.0% |
Health Statistics Comparison: Greeley vs Shabbona
- More residents in Greeley report poor mental health at 17.0% compared to 16.2% in Shabbona.
- Higher depression rates are seen in Shabbona at 22.1% versus 21.4% in Greeley.
- Smoking rates are the same in both Greeley and Shabbona at 16.5%.
- More residents engage in binge drinking in Shabbona at 18.8% compared to 16.7% in Greeley.
- Shabbona has higher obesity rates at 36.3% compared to 30.8% in Greeley.
- There is a higher percentage of disabled individuals in Shabbona at 24.0% 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 | Shabbona |
---|---|---|
No Schooling | 2.2% (2,416) | 0.0% (Data is updating) |
High School Diploma | 12.0% (13,106) | 22.1% (188) |
Less than High School | 19.3% (21,128) | 7.6% (65) |
Bachelor's Degree and Higher | 16.4% (17,877) | 12.2% (104) |
Education Levels Comparison: Greeley vs Shabbona
- A higher percentage of residents in Greeley have no formal schooling at 2.2% compared to 0.0% in Shabbona.
- In Shabbona, the rate of residents with high school diplomas is higher at 22.1% compared to 12.0% in Greeley.
- More residents in Greeley have less than a high school education at 19.3% compared to 7.6% in Shabbona.
- A higher percentage of residents in Greeley hold a bachelor's degree or higher at 16.4% compared to 12.2% in Shabbona.
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.