Demographics details for Beaver dam, WI vs Wanette, OK
Population Overview
Compare main population characteristics in Beaver dam, WI vs Wanette, OK.
| Data | Beaver dam | Wanette |
|---|---|---|
| Population | 16,582 | 281 |
| Median Age | 40.4 years | 40.8 years |
| Median Income | $65,802 | $39,063 |
| Married Families | 35.0% | 24.0% |
| Poverty Level | Data is updating | 15% |
| Unemployment Rate | 3.1 | 4.5 |
Population Comparison: Beaver dam vs Wanette
- In Beaver dam, the population is higher at 16,582, compared to 281 in Wanette.
- The median age in Wanette is higher at 40.8 years, compared to 40.4 years in Beaver dam.
- Beaver dam has a higher median income of $65,802 compared to $39,063 in Wanette.
- A higher percentage of married families is found in Beaver dam at 35.0% compared to 24.0% in Wanette.
- The poverty level is higher in Wanette at 15%, compared to 0% in Beaver dam.
- Wanette has a higher unemployment rate at 4.5% compared to 3.1% in Beaver dam.
Demographics
Demographics Beaver dam vs Wanette provide insight into the diversity of the communities to compare.
| Demographic | Beaver dam | Wanette |
|---|---|---|
| Black | 3 | Data is updating |
| White | 81 | 81 |
| Asian | 2 | Data is updating |
| Hispanic | 8 | Data is updating |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | 14 |
Demographics Comparison: Beaver dam vs Wanette
- A higher percentage of Black residents are in Beaver dam at 3% compared to 0% in Wanette.
- The percentage of White residents is the same in both Beaver dam and Wanette at 81%.
- The Asian population is larger in Beaver dam at 2% compared to 0% in Wanette.
- The Hispanic community is larger in Beaver dam at 8% compared to 0% in Wanette.
- More residents identify as two or more races in Beaver dam at 6% compared to 5% in Wanette.
- In Wanette, the percentage of American Indian residents is higher at 14%, compared to 0% in Beaver dam.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Beaver dam | Wanette |
|---|---|---|
| Mental Health Not Good | 15.7% | 20.6% |
| Physical Health Not Good | 10.6% | 14.1% |
| Depression | 23.6% | 26.2% |
| Smoking | 17.6% | 23.1% |
| Binge Drinking | 23.5% | 14.6% |
| Obesity | 36.6% | 42.4% |
| Disability Percentage | 11.0% | 31.0% |
Health Statistics Comparison: Beaver dam vs Wanette
- In Wanette, a higher percentage report poor mental health at 20.6% compared to 15.7% in Beaver dam.
- Higher depression rates are seen in Wanette at 26.2% versus 23.6% in Beaver dam.
- Wanette has a higher smoking rate at 23.1% compared to 17.6% in Beaver dam.
- Binge drinking is more common in Beaver dam at 23.5% compared to 14.6% in Wanette.
- Wanette has higher obesity rates at 42.4% compared to 36.6% in Beaver dam.
- There is a higher percentage of disabled individuals in Wanette at 31.0% compared to 11.0% in Beaver dam.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Beaver dam | Wanette |
|---|---|---|
| No Schooling | 0.3% (47) | 1.8% (5) |
| High School Diploma | 23.8% (3,947) | 22.4% (63) |
| Less than High School | 10.3% (1,706) | 21.4% (60) |
| Bachelor's Degree and Higher | 18.2% (3,023) | 6.8% (19) |
Education Levels Comparison: Beaver dam vs Wanette
- In Wanette, a larger percentage of residents lack formal schooling at 1.8% compared to 0.3% in Beaver dam.
- A higher percentage of residents in Beaver dam hold a high school diploma at 23.8% compared to 22.4% in Wanette.
- The percentage of residents with less than a high school education is higher in Wanette at 21.4%, compared to 10.3% in Beaver dam.
- A higher percentage of residents in Beaver dam hold a bachelor's degree or higher at 18.2% compared to 6.8% in Wanette.
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.