Demographics details for Queen anne, MD vs Panora, IA
Population Overview
Compare main population characteristics in Queen anne, MD vs Panora, IA.
| Data | Queen anne | Panora |
|---|---|---|
| Population | 1,516 | 1,082 |
| Median Age | 53.3 years | 40.1 years |
| Median Income | $179,625 | $61,438 |
| Married Families | 63.0% | 68.0% |
| Poverty Level | Data is updating | 9% |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Queen anne vs Panora
- In Queen anne, the population is higher at 1,516, compared to 1,082 in Panora.
- Residents in Queen anne have a higher median age of 53.3 years compared to 40.1 years in Panora.
- Queen anne has a higher median income of $179,625 compared to $61,438 in Panora.
- In Panora, the percentage of married families is higher at 68.0%, compared to 63.0% in Queen anne.
- The poverty level is higher in Panora at 9%, compared to 0% in Queen anne.
- The unemployment rate in Queen anne is higher at 3.5%, compared to 2.5% in Panora.
Demographics
Demographics Queen anne vs Panora provide insight into the diversity of the communities to compare.
| Demographic | Queen anne | Panora |
|---|---|---|
| Black | 70 | 2 |
| White | 29 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 5 |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Queen anne vs Panora
- A higher percentage of Black residents are in Queen anne at 70% compared to 2% in Panora.
- The percentage of White residents is higher in Panora at 91% compared to 29% in Queen anne.
- Both Queen anne and Panora have the same percentage of Asian residents at 0%.
- Panora has a higher percentage of Hispanic residents at 5%, compared to 1% in Queen anne.
- The percentage of residents identifying as two or more races is higher in Panora at 2%, compared to 0% in Queen anne.
- The percentage of American Indian residents is the same in both Queen anne and Panora at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Queen anne | Panora |
|---|---|---|
| Mental Health Not Good | 12.1% | 15.4% |
| Physical Health Not Good | 7.1% | 9.4% |
| Depression | 13.1% | 19.2% |
| Smoking | 8.4% | 16.8% |
| Binge Drinking | 14.7% | 21.6% |
| Obesity | 35.0% | 35.5% |
| Disability Percentage | 5.0% | 13.0% |
Health Statistics Comparison: Queen anne vs Panora
- In Panora, a higher percentage report poor mental health at 15.4% compared to 12.1% in Queen anne.
- Higher depression rates are seen in Panora at 19.2% versus 13.1% in Queen anne.
- Panora has a higher smoking rate at 16.8% compared to 8.4% in Queen anne.
- More residents engage in binge drinking in Panora at 21.6% compared to 14.7% in Queen anne.
- Panora has higher obesity rates at 35.5% compared to 35.0% in Queen anne.
- There is a higher percentage of disabled individuals in Panora at 13.0% compared to 5.0% in Queen anne.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Queen anne | Panora |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.7% (18) |
| High School Diploma | 17.4% (264) | 28.1% (304) |
| Less than High School | 1.5% (23) | 10.7% (116) |
| Bachelor's Degree and Higher | 42.7% (648) | 20.0% (216) |
Education Levels Comparison: Queen anne vs Panora
- In Panora, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Queen anne.
- In Panora, the rate of residents with high school diplomas is higher at 28.1% compared to 17.4% in Queen anne.
- The percentage of residents with less than a high school education is higher in Panora at 10.7%, compared to 1.5% in Queen anne.
- A higher percentage of residents in Queen anne hold a bachelor's degree or higher at 42.7% compared to 20.0% in Panora.
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.