Demographics details for Greenfield, IL vs Omaha, NE
Population Overview
Compare main population characteristics in Greenfield, IL vs Omaha, NE.
| Data | Greenfield | Omaha |
|---|---|---|
| Population | 1,025 | 485,153 |
| Median Age | 37.7 years | 35.1 years |
| Median Income | $66,985 | $70,202 |
| Married Families | 42.0% | 36.0% |
| Poverty Level | 9% | 13% |
| Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Greenfield vs Omaha
- The population in Omaha is higher at 485,153, compared to 1,025 in Greenfield.
- Residents in Greenfield have a higher median age of 37.7 years compared to 35.1 years in Omaha.
- Omaha has a higher median income of $70,202, compared to $66,985 in Greenfield.
- A higher percentage of married families is found in Greenfield at 42.0% compared to 36.0% in Omaha.
- The poverty level is higher in Omaha at 13%, compared to 9% in Greenfield.
- Omaha has a higher unemployment rate at 3.5% compared to 3.4% in Greenfield.
Demographics
Demographics Greenfield vs Omaha provide insight into the diversity of the communities to compare.
| Demographic | Greenfield | Omaha |
|---|---|---|
| Black | Data is updating | 12 |
| White | 98 | 60 |
| Asian | Data is updating | 4 |
| Hispanic | Data is updating | 15 |
| Two or More Races | 2 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Greenfield vs Omaha
- In Omaha, the percentage of Black residents is higher at 12% compared to 0% in Greenfield.
- Greenfield has a higher percentage of White residents at 98% compared to 60% in Omaha.
- In Omaha, the Asian population stands at 4%, greater than 0% in Greenfield.
- Omaha has a higher percentage of Hispanic residents at 15%, compared to 0% in Greenfield.
- The percentage of residents identifying as two or more races is higher in Omaha at 8%, compared to 2% in Greenfield.
- In Omaha, the percentage of American Indian residents is higher at 1%, compared to 0% in Greenfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Greenfield | Omaha |
|---|---|---|
| Mental Health Not Good | 16.8% | 14.4% |
| Physical Health Not Good | 11.4% | 9.7% |
| Depression | 22.7% | 19.4% |
| Smoking | 18.6% | 15.4% |
| Binge Drinking | 18.3% | 20.4% |
| Obesity | 36.2% | 36.3% |
| Disability Percentage | 17.0% | 11.0% |
Health Statistics Comparison: Greenfield vs Omaha
- More residents in Greenfield report poor mental health at 16.8% compared to 14.4% in Omaha.
- Depression is more prevalent in Greenfield at 22.7% compared to 19.4% in Omaha.
- Smoking is more prevalent in Greenfield at 18.6% compared to 15.4% in Omaha.
- More residents engage in binge drinking in Omaha at 20.4% compared to 18.3% in Greenfield.
- Omaha has higher obesity rates at 36.3% compared to 36.2% in Greenfield.
- Disability percentages are higher in Greenfield at 17.0% compared to 11.0% in Omaha.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Greenfield | Omaha |
|---|---|---|
| No Schooling | 0.5% (5) | 1.7% (8,272) |
| High School Diploma | 32.9% (337) | 12.1% (58,598) |
| Less than High School | 14.4% (148) | 11.0% (53,160) |
| Bachelor's Degree and Higher | 13.9% (142) | 25.9% (125,578) |
Education Levels Comparison: Greenfield vs Omaha
- In Omaha, a larger percentage of residents lack formal schooling at 1.7% compared to 0.5% in Greenfield.
- A higher percentage of residents in Greenfield hold a high school diploma at 32.9% compared to 12.1% in Omaha.
- More residents in Greenfield have less than a high school education at 14.4% compared to 11.0% in Omaha.
- In Omaha, a larger share of residents have a bachelor's degree or higher at 25.9% compared to 13.9% in Greenfield.
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.