Demographics details for Blue mounds, WI vs Antlers, OK
Population Overview
Compare main population characteristics in Blue mounds, WI vs Antlers, OK.
| Data | Blue mounds | Antlers |
|---|---|---|
| Population | 924 | 2,198 |
| Median Age | 37.0 years | 36.7 years |
| Median Income | $71,094 | $27,798 |
| Married Families | 34.0% | 37.0% |
| Poverty Level | 8% | 18% |
| Unemployment Rate | 2.4 | 4.5 |
Population Comparison: Blue mounds vs Antlers
- The population in Antlers is higher at 2,198, compared to 924 in Blue mounds.
- Residents in Blue mounds have a higher median age of 37.0 years compared to 36.7 years in Antlers.
- Blue mounds has a higher median income of $71,094 compared to $27,798 in Antlers.
- In Antlers, the percentage of married families is higher at 37.0%, compared to 34.0% in Blue mounds.
- The poverty level is higher in Antlers at 18%, compared to 8% in Blue mounds.
- Antlers has a higher unemployment rate at 4.5% compared to 2.4% in Blue mounds.
Demographics
Demographics Blue mounds vs Antlers provide insight into the diversity of the communities to compare.
| Demographic | Blue mounds | Antlers |
|---|---|---|
| Black | 1 | 3 |
| White | 96 | 63 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 5 |
| Two or More Races | 2 | 15 |
| American Indian | Data is updating | 13 |
Demographics Comparison: Blue mounds vs Antlers
- In Antlers, the percentage of Black residents is higher at 3% compared to 1% in Blue mounds.
- Blue mounds has a higher percentage of White residents at 96% compared to 63% in Antlers.
- In Antlers, the Asian population stands at 1%, greater than 0% in Blue mounds.
- Antlers has a higher percentage of Hispanic residents at 5%, compared to 1% in Blue mounds.
- The percentage of residents identifying as two or more races is higher in Antlers at 15%, compared to 2% in Blue mounds.
- In Antlers, the percentage of American Indian residents is higher at 13%, compared to 0% in Blue mounds.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Blue mounds | Antlers |
|---|---|---|
| Mental Health Not Good | 13.4% | 21.3% |
| Physical Health Not Good | 7.8% | 15.6% |
| Depression | 24.2% | 28.5% |
| Smoking | 11.9% | 26.4% |
| Binge Drinking | 25.4% | 14.1% |
| Obesity | 27.3% | 40.5% |
| Disability Percentage | 11.0% | 36.0% |
Health Statistics Comparison: Blue mounds vs Antlers
- In Antlers, a higher percentage report poor mental health at 21.3% compared to 13.4% in Blue mounds.
- Higher depression rates are seen in Antlers at 28.5% versus 24.2% in Blue mounds.
- Antlers has a higher smoking rate at 26.4% compared to 11.9% in Blue mounds.
- Binge drinking is more common in Blue mounds at 25.4% compared to 14.1% in Antlers.
- Antlers has higher obesity rates at 40.5% compared to 27.3% in Blue mounds.
- There is a higher percentage of disabled individuals in Antlers at 36.0% compared to 11.0% in Blue mounds.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Blue mounds | Antlers |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (23) |
| High School Diploma | 15.3% (141) | 23.4% (515) |
| Less than High School | 9.0% (83) | 26.2% (575) |
| Bachelor's Degree and Higher | 19.7% (182) | 10.7% (236) |
Education Levels Comparison: Blue mounds vs Antlers
- In Antlers, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Blue mounds.
- In Antlers, the rate of residents with high school diplomas is higher at 23.4% compared to 15.3% in Blue mounds.
- The percentage of residents with less than a high school education is higher in Antlers at 26.2%, compared to 9.0% in Blue mounds.
- A higher percentage of residents in Blue mounds hold a bachelor's degree or higher at 19.7% compared to 10.7% in Antlers.
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.