Demographics details for Charlotte, NC vs Albany, NY
Population Overview
Compare main population characteristics in Charlotte, NC vs Albany, NY.
| Data | Charlotte | Albany |
|---|---|---|
| Population | 897,720 | 100,826 |
| Median Age | 34.5 years | 32.0 years |
| Median Income | $74,070 | $54,736 |
| Married Families | 33.0% | 23.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 4.0 | 4.4 |
Population Comparison: Charlotte vs Albany
- In Charlotte, the population is higher at 897,720, compared to 100,826 in Albany.
- Residents in Charlotte have a higher median age of 34.5 years compared to 32.0 years in Albany.
- Charlotte has a higher median income of $74,070 compared to $54,736 in Albany.
- A higher percentage of married families is found in Charlotte at 33.0% compared to 23.0% in Albany.
- Charlotte has a higher poverty level at 12% compared to 0% in Albany.
- Albany has a higher unemployment rate at 4.4% compared to 4.0% in Charlotte.
Demographics
Demographics Charlotte vs Albany provide insight into the diversity of the communities to compare.
| Demographic | Charlotte | Albany |
|---|---|---|
| Black | 34 | 28 |
| White | 38 | 48 |
| Asian | 6 | 7 |
| Hispanic | 15 | 10 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Charlotte vs Albany
- A higher percentage of Black residents are in Charlotte at 34% compared to 28% in Albany.
- The percentage of White residents is higher in Albany at 48% compared to 38% in Charlotte.
- In Albany, the Asian population stands at 7%, greater than 6% in Charlotte.
- The Hispanic community is larger in Charlotte at 15% compared to 10% in Albany.
- Both Charlotte and Albany 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 Charlotte and Albany at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Charlotte | Albany |
|---|---|---|
| Mental Health Not Good | 14.7% | 18.1% |
| Physical Health Not Good | 10.1% | 11.4% |
| Depression | 20.1% | 24.3% |
| Smoking | 13.9% | 20.1% |
| Binge Drinking | 17.5% | 15.8% |
| Obesity | 34.7% | 37.3% |
| Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Charlotte vs Albany
- In Albany, a higher percentage report poor mental health at 18.1% compared to 14.7% in Charlotte.
- Higher depression rates are seen in Albany at 24.3% versus 20.1% in Charlotte.
- Albany has a higher smoking rate at 20.1% compared to 13.9% in Charlotte.
- Binge drinking is more common in Charlotte at 17.5% compared to 15.8% in Albany.
- Albany has higher obesity rates at 37.3% compared to 34.7% in Charlotte.
- There is a higher percentage of disabled individuals in Albany at 13.0% compared to 8.0% in Charlotte.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Charlotte | Albany |
|---|---|---|
| No Schooling | 1.2% (10,429) | 1.6% (1,641) |
| High School Diploma | 9.4% (84,002) | 9.3% (9,344) |
| Less than High School | 10.7% (95,990) | 9.8% (9,877) |
| Bachelor's Degree and Higher | 30.6% (274,311) | 26.6% (26,849) |
Education Levels Comparison: Charlotte vs Albany
- In Albany, a larger percentage of residents lack formal schooling at 1.6% compared to 1.2% in Charlotte.
- A higher percentage of residents in Charlotte hold a high school diploma at 9.4% compared to 9.3% in Albany.
- More residents in Charlotte have less than a high school education at 10.7% compared to 9.8% in Albany.
- A higher percentage of residents in Charlotte hold a bachelor's degree or higher at 30.6% compared to 26.6% in Albany.
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.