Demographics details for Albany, NY vs What cheer, IA
Population Overview
Compare main population characteristics in Albany, NY vs What cheer, IA.
| Data | Albany | What cheer |
|---|---|---|
| Population | 100,826 | 597 |
| Median Age | 32.0 years | 34.8 years |
| Median Income | $54,736 | $45,500 |
| Married Families | 23.0% | 45.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 4.4 | 3.9 |
Population Comparison: Albany vs What cheer
- In Albany, the population is higher at 100,826, compared to 597 in What cheer.
- The median age in What cheer is higher at 34.8 years, compared to 32.0 years in Albany.
- Albany has a higher median income of $54,736 compared to $45,500 in What cheer.
- In What cheer, the percentage of married families is higher at 45.0%, compared to 23.0% in Albany.
- The poverty level is higher in What cheer at 12%, compared to 0% in Albany.
- The unemployment rate in Albany is higher at 4.4%, compared to 3.9% in What cheer.
Demographics
Demographics Albany vs What cheer provide insight into the diversity of the communities to compare.
| Demographic | Albany | What cheer |
|---|---|---|
| Black | 28 | 3 |
| White | 48 | 87 |
| Asian | 7 | Data is updating |
| Hispanic | 10 | 6 |
| Two or More Races | 7 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Albany vs What cheer
- A higher percentage of Black residents are in Albany at 28% compared to 3% in What cheer.
- The percentage of White residents is higher in What cheer at 87% compared to 48% in Albany.
- The Asian population is larger in Albany at 7% compared to 0% in What cheer.
- The Hispanic community is larger in Albany at 10% compared to 6% in What cheer.
- More residents identify as two or more races in Albany at 7% compared to 4% in What cheer.
- The percentage of American Indian residents is the same in both Albany and What cheer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Albany | What cheer |
|---|---|---|
| Mental Health Not Good | 18.1% | 17.0% |
| Physical Health Not Good | 11.4% | 11.3% |
| Depression | 24.3% | 20.1% |
| Smoking | 20.1% | 21.2% |
| Binge Drinking | 15.8% | 21.0% |
| Obesity | 37.3% | 40.1% |
| Disability Percentage | 13.0% | 30.0% |
Health Statistics Comparison: Albany vs What cheer
- More residents in Albany report poor mental health at 18.1% compared to 17.0% in What cheer.
- Depression is more prevalent in Albany at 24.3% compared to 20.1% in What cheer.
- What cheer has a higher smoking rate at 21.2% compared to 20.1% in Albany.
- More residents engage in binge drinking in What cheer at 21.0% compared to 15.8% in Albany.
- What cheer has higher obesity rates at 40.1% compared to 37.3% in Albany.
- There is a higher percentage of disabled individuals in What cheer at 30.0% compared to 13.0% in Albany.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Albany | What cheer |
|---|---|---|
| No Schooling | 1.6% (1,641) | 1.5% (9) |
| High School Diploma | 9.3% (9,344) | 31.8% (190) |
| Less than High School | 9.8% (9,877) | 11.9% (71) |
| Bachelor's Degree and Higher | 26.6% (26,849) | 5.0% (30) |
Education Levels Comparison: Albany vs What cheer
- A higher percentage of residents in Albany have no formal schooling at 1.6% compared to 1.5% in What cheer.
- In What cheer, the rate of residents with high school diplomas is higher at 31.8% compared to 9.3% in Albany.
- The percentage of residents with less than a high school education is higher in What cheer at 11.9%, compared to 9.8% in Albany.
- A higher percentage of residents in Albany hold a bachelor's degree or higher at 26.6% compared to 5.0% in What cheer.
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.