Demographics details for Albany, NY vs Okeechobee, FL
Population Overview
Compare main population characteristics in Albany, NY vs Okeechobee, FL.
| Data | Albany | Okeechobee |
|---|---|---|
| Population | 100,826 | 40,412 |
| Median Age | 32.0 years | 40.8 years |
| Median Income | $54,736 | $50,476 |
| Married Families | 23.0% | 38.0% |
| Poverty Level | Data is updating | 16% |
| Unemployment Rate | 4.4 | 3.7 |
Population Comparison: Albany vs Okeechobee
- In Albany, the population is higher at 100,826, compared to 40,412 in Okeechobee.
- The median age in Okeechobee is higher at 40.8 years, compared to 32.0 years in Albany.
- Albany has a higher median income of $54,736 compared to $50,476 in Okeechobee.
- In Okeechobee, the percentage of married families is higher at 38.0%, compared to 23.0% in Albany.
- The poverty level is higher in Okeechobee at 16%, compared to 0% in Albany.
- The unemployment rate in Albany is higher at 4.4%, compared to 3.7% in Okeechobee.
Demographics
Demographics Albany vs Okeechobee provide insight into the diversity of the communities to compare.
| Demographic | Albany | Okeechobee |
|---|---|---|
| Black | 28 | 8 |
| White | 48 | 58 |
| Asian | 7 | 1 |
| Hispanic | 10 | 26 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Albany vs Okeechobee
- A higher percentage of Black residents are in Albany at 28% compared to 8% in Okeechobee.
- The percentage of White residents is higher in Okeechobee at 58% compared to 48% in Albany.
- The Asian population is larger in Albany at 7% compared to 1% in Okeechobee.
- Okeechobee has a higher percentage of Hispanic residents at 26%, compared to 10% in Albany.
- Both Albany and Okeechobee have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both Albany and Okeechobee at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Albany | Okeechobee |
|---|---|---|
| Mental Health Not Good | 18.1% | 17.3% |
| Physical Health Not Good | 11.4% | 13.1% |
| Depression | 24.3% | 20.1% |
| Smoking | 20.1% | 23.7% |
| Binge Drinking | 15.8% | 15.4% |
| Obesity | 37.3% | 33.9% |
| Disability Percentage | 13.0% | 15.0% |
Health Statistics Comparison: Albany vs Okeechobee
- More residents in Albany report poor mental health at 18.1% compared to 17.3% in Okeechobee.
- Depression is more prevalent in Albany at 24.3% compared to 20.1% in Okeechobee.
- Okeechobee has a higher smoking rate at 23.7% compared to 20.1% in Albany.
- Binge drinking is more common in Albany at 15.8% compared to 15.4% in Okeechobee.
- Obesity rates are higher in Albany at 37.3% compared to 33.9% in Okeechobee.
- There is a higher percentage of disabled individuals in Okeechobee at 15.0% 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 | Okeechobee |
|---|---|---|
| No Schooling | 1.6% (1,641) | 1.9% (751) |
| High School Diploma | 9.3% (9,344) | 18.6% (7,520) |
| Less than High School | 9.8% (9,877) | 26.7% (10,783) |
| Bachelor's Degree and Higher | 26.6% (26,849) | 11.8% (4,773) |
Education Levels Comparison: Albany vs Okeechobee
- In Okeechobee, a larger percentage of residents lack formal schooling at 1.9% compared to 1.6% in Albany.
- In Okeechobee, the rate of residents with high school diplomas is higher at 18.6% compared to 9.3% in Albany.
- The percentage of residents with less than a high school education is higher in Okeechobee at 26.7%, 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 11.8% in Okeechobee.
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.