Demographics details for Marked tree, AR vs Albany, OR
Population Overview
Compare main population characteristics in Marked tree, AR vs Albany, OR.
Data | Marked tree | Albany |
---|---|---|
Population | 2,213 | 56,891 |
Median Age | 42.5 years | 36.5 years |
Median Income | $35,087 | $69,777 |
Married Families | 28.0% | 39.0% |
Poverty Level | 26% | 9% |
Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Marked tree vs Albany
- The population in Albany is higher at 56,891, compared to 2,213 in Marked tree.
- Residents in Marked tree have a higher median age of 42.5 years compared to 36.5 years in Albany.
- Albany has a higher median income of $69,777, compared to $35,087 in Marked tree.
- In Albany, the percentage of married families is higher at 39.0%, compared to 28.0% in Marked tree.
- Marked tree has a higher poverty level at 26% compared to 9% in Albany.
- The unemployment rate in Marked tree is higher at 4.5%, compared to 4.2% in Albany.
Demographics
Demographics Marked tree vs Albany provide insight into the diversity of the communities to compare.
Demographic | Marked tree | Albany |
---|---|---|
Black | 12 | Data is updating |
White | 70 | 74 |
Asian | Data is updating | 2 |
Hispanic | 8 | 14 |
Two or More Races | 8 | 9 |
American Indian | 2 | 1 |
Demographics Comparison: Marked tree vs Albany
- A higher percentage of Black residents are in Marked tree at 12% compared to 0% in Albany.
- The percentage of White residents is higher in Albany at 74% compared to 70% in Marked tree.
- In Albany, the Asian population stands at 2%, greater than 0% in Marked tree.
- Albany has a higher percentage of Hispanic residents at 14%, compared to 8% in Marked tree.
- The percentage of residents identifying as two or more races is higher in Albany at 9%, compared to 8% in Marked tree.
- A greater percentage of American Indian residents live in Marked tree at 2% compared to 1% in Albany.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marked tree | Albany |
---|---|---|
Mental Health Not Good | 23.4% | 18.0% |
Physical Health Not Good | 18.9% | 11.0% |
Depression | 28.8% | 27.2% |
Smoking | 31.0% | 14.1% |
Binge Drinking | 12.2% | 17.0% |
Obesity | 50.3% | 35.5% |
Disability Percentage | 24.0% | 15.0% |
Health Statistics Comparison: Marked tree vs Albany
- More residents in Marked tree report poor mental health at 23.4% compared to 18.0% in Albany.
- Depression is more prevalent in Marked tree at 28.8% compared to 27.2% in Albany.
- Smoking is more prevalent in Marked tree at 31.0% compared to 14.1% in Albany.
- More residents engage in binge drinking in Albany at 17.0% compared to 12.2% in Marked tree.
- Obesity rates are higher in Marked tree at 50.3% compared to 35.5% in Albany.
- Disability percentages are higher in Marked tree at 24.0% compared to 15.0% in Albany.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marked tree | Albany |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (212) |
High School Diploma | 20.9% (463) | 12.4% (7,049) |
Less than High School | 35.5% (785) | 9.2% (5,244) |
Bachelor's Degree and Higher | 10.8% (239) | 18.7% (10,614) |
Education Levels Comparison: Marked tree vs Albany
- In Albany, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Marked tree.
- A higher percentage of residents in Marked tree hold a high school diploma at 20.9% compared to 12.4% in Albany.
- More residents in Marked tree have less than a high school education at 35.5% compared to 9.2% in Albany.
- In Albany, a larger share of residents have a bachelor's degree or higher at 18.7% compared to 10.8% in Marked tree.
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.