Demographics details for Chester, VA vs North tonawanda, NY
Population Overview
Compare main population characteristics in Chester, VA vs North tonawanda, NY.
| Data | Chester | North tonawanda |
|---|---|---|
| Population | 23,068 | 30,235 |
| Median Age | 40.6 years | 43.4 years |
| Median Income | $87,242 | $66,836 |
| Married Families | 42.0% | 42.0% |
| Poverty Level | 5% | 6% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Chester vs North tonawanda
- The population in North tonawanda is higher at 30,235, compared to 23,068 in Chester.
- The median age in North tonawanda is higher at 43.4 years, compared to 40.6 years in Chester.
- Chester has a higher median income of $87,242 compared to $66,836 in North tonawanda.
- The percentage of married families is the same in both Chester and North tonawanda at 42.0%.
- The poverty level is higher in North tonawanda at 6%, compared to 5% in Chester.
- The unemployment rate is the same in both Chester and North tonawanda at 3.5%.
Demographics
Demographics Chester vs North tonawanda provide insight into the diversity of the communities to compare.
| Demographic | Chester | North tonawanda |
|---|---|---|
| Black | 25 | 2 |
| White | 55 | 92 |
| Asian | 2 | 1 |
| Hispanic | 11 | 2 |
| Two or More Races | 6 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Chester vs North tonawanda
- A higher percentage of Black residents are in Chester at 25% compared to 2% in North tonawanda.
- The percentage of White residents is higher in North tonawanda at 92% compared to 55% in Chester.
- The Asian population is larger in Chester at 2% compared to 1% in North tonawanda.
- The Hispanic community is larger in Chester at 11% compared to 2% in North tonawanda.
- More residents identify as two or more races in Chester at 6% compared to 3% in North tonawanda.
- A greater percentage of American Indian residents live in Chester at 1% compared to 0% in North tonawanda.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | North tonawanda |
|---|---|---|
| Mental Health Not Good | 16.6% | 16.5% |
| Physical Health Not Good | 10.0% | 10.5% |
| Depression | 21.3% | 25.7% |
| Smoking | 15.3% | 20.2% |
| Binge Drinking | 18.4% | 19.1% |
| Obesity | 36.5% | 34.2% |
| Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Chester vs North tonawanda
- More residents in Chester report poor mental health at 16.6% compared to 16.5% in North tonawanda.
- Higher depression rates are seen in North tonawanda at 25.7% versus 21.3% in Chester.
- North tonawanda has a higher smoking rate at 20.2% compared to 15.3% in Chester.
- More residents engage in binge drinking in North tonawanda at 19.1% compared to 18.4% in Chester.
- Obesity rates are higher in Chester at 36.5% compared to 34.2% in North tonawanda.
- There is a higher percentage of disabled individuals in North tonawanda at 15.0% compared to 11.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | North tonawanda |
|---|---|---|
| No Schooling | 1.5% (344) | 1.2% (368) |
| High School Diploma | 16.8% (3,871) | 22.0% (6,652) |
| Less than High School | 11.9% (2,738) | 9.7% (2,946) |
| Bachelor's Degree and Higher | 22.3% (5,134) | 20.8% (6,298) |
Education Levels Comparison: Chester vs North tonawanda
- A higher percentage of residents in Chester have no formal schooling at 1.5% compared to 1.2% in North tonawanda.
- In North tonawanda, the rate of residents with high school diplomas is higher at 22.0% compared to 16.8% in Chester.
- More residents in Chester have less than a high school education at 11.9% compared to 9.7% in North tonawanda.
- A higher percentage of residents in Chester hold a bachelor's degree or higher at 22.3% compared to 20.8% in North tonawanda.
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.