Demographics details for Ogema, WI vs Paulden, AZ
Population Overview
Compare main population characteristics in Ogema, WI vs Paulden, AZ.
| Data | Ogema | Paulden |
|---|---|---|
| Population | 684 | 4,518 |
| Median Age | 35.0 years | 49.5 years |
| Median Income | $55,000 | $65,417 |
| Married Families | 40.0% | 44.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Ogema vs Paulden
- The population in Paulden is higher at 4,518, compared to 684 in Ogema.
- The median age in Paulden is higher at 49.5 years, compared to 35.0 years in Ogema.
- Paulden has a higher median income of $65,417, compared to $55,000 in Ogema.
- In Paulden, the percentage of married families is higher at 44.0%, compared to 40.0% in Ogema.
- The poverty level is higher in Paulden at 12%, compared to 5% in Ogema.
- Paulden has a higher unemployment rate at 3.5% compared to 3.0% in Ogema.
Demographics
Demographics Ogema vs Paulden provide insight into the diversity of the communities to compare.
| Demographic | Ogema | Paulden |
|---|---|---|
| Black | 1 | Data is updating |
| White | 96 | 70 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 24 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Ogema vs Paulden
- A higher percentage of Black residents are in Ogema at 1% compared to 0% in Paulden.
- Ogema has a higher percentage of White residents at 96% compared to 70% in Paulden.
- In Paulden, the Asian population stands at 1%, greater than 0% in Ogema.
- Paulden has a higher percentage of Hispanic residents at 24%, compared to 2% in Ogema.
- The percentage of residents identifying as two or more races is higher in Paulden at 4%, compared to 1% in Ogema.
- In Paulden, the percentage of American Indian residents is higher at 1%, compared to 0% in Ogema.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ogema | Paulden |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.0% |
| Physical Health Not Good | Data is updating% | 12.9% |
| Depression | Data is updating% | 22.8% |
| Smoking | Data is updating% | 19.7% |
| Binge Drinking | Data is updating% | 16.3% |
| Obesity | Data is updating% | 29.4% |
| Disability Percentage | Data is updating% | 21.0% |
Health Statistics Comparison: Ogema vs Paulden
- In Paulden, a higher percentage report poor mental health at 19.0% compared to 0.0% in Ogema.
- Higher depression rates are seen in Paulden at 22.8% versus 0.0% in Ogema.
- Paulden has a higher smoking rate at 19.7% compared to 0.0% in Ogema.
- More residents engage in binge drinking in Paulden at 16.3% compared to 0.0% in Ogema.
- Paulden has higher obesity rates at 29.4% compared to 0.0% in Ogema.
- There is a higher percentage of disabled individuals in Paulden at 21.0% compared to 0.0% in Ogema.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ogema | Paulden |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.1% (94) |
| High School Diploma | 0.0% (Data is updating) | 22.8% (1,032) |
| Less than High School | 0.0% (Data is updating) | 17.7% (798) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 10.2% (461) |
Education Levels Comparison: Ogema vs Paulden
- In Paulden, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Ogema.
- In Paulden, the rate of residents with high school diplomas is higher at 22.8% compared to 0.0% in Ogema.
- The percentage of residents with less than a high school education is higher in Paulden at 17.7%, compared to 0.0% in Ogema.
- In Paulden, a larger share of residents have a bachelor's degree or higher at 10.2% compared to 0.0% in Ogema.
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.