Demographics details for Chester, CT vs Apopka, FL
Population Overview
Compare main population characteristics in Chester, CT vs Apopka, FL.
| Data | Chester | Apopka |
|---|---|---|
| Population | 3,994 | 57,017 |
| Median Age | 43.0 years | 38.9 years |
| Median Income | $102,500 | $87,394 |
| Married Families | 64.0% | 41.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 2.1 | 3.5 |
Population Comparison: Chester vs Apopka
- The population in Apopka is higher at 57,017, compared to 3,994 in Chester.
- Residents in Chester have a higher median age of 43.0 years compared to 38.9 years in Apopka.
- Chester has a higher median income of $102,500 compared to $87,394 in Apopka.
- A higher percentage of married families is found in Chester at 64.0% compared to 41.0% in Apopka.
- The poverty level is higher in Apopka at 9%, compared to 5% in Chester.
- Apopka has a higher unemployment rate at 3.5% compared to 2.1% in Chester.
Demographics
Demographics Chester vs Apopka provide insight into the diversity of the communities to compare.
| Demographic | Chester | Apopka |
|---|---|---|
| Black | 1 | 24 |
| White | 87 | 30 |
| Asian | Data is updating | 4 |
| Hispanic | 5 | 27 |
| Two or More Races | 3 | 15 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Chester vs Apopka
- In Apopka, the percentage of Black residents is higher at 24% compared to 1% in Chester.
- Chester has a higher percentage of White residents at 87% compared to 30% in Apopka.
- In Apopka, the Asian population stands at 4%, greater than 0% in Chester.
- Apopka has a higher percentage of Hispanic residents at 27%, compared to 5% in Chester.
- The percentage of residents identifying as two or more races is higher in Apopka at 15%, compared to 3% in Chester.
- The percentage of American Indian residents is the same in both Chester and Apopka at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Apopka |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.9% |
| Physical Health Not Good | Data is updating% | 11.1% |
| Depression | Data is updating% | 17.9% |
| Smoking | Data is updating% | 18.5% |
| Binge Drinking | Data is updating% | 14.7% |
| Obesity | Data is updating% | 29.8% |
| Disability Percentage | Data is updating% | 10.0% |
Health Statistics Comparison: Chester vs Apopka
- In Apopka, a higher percentage report poor mental health at 15.9% compared to 0.0% in Chester.
- Higher depression rates are seen in Apopka at 17.9% versus 0.0% in Chester.
- Apopka has a higher smoking rate at 18.5% compared to 0.0% in Chester.
- More residents engage in binge drinking in Apopka at 14.7% compared to 0.0% in Chester.
- Apopka has higher obesity rates at 29.8% compared to 0.0% in Chester.
- There is a higher percentage of disabled individuals in Apopka at 10.0% compared to 0.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | Apopka |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (499) |
| High School Diploma | 0.0% (Data is updating) | 13.1% (7,455) |
| Less than High School | 0.0% (Data is updating) | 12.3% (7,016) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 23.4% (13,353) |
Education Levels Comparison: Chester vs Apopka
- In Apopka, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Chester.
- In Apopka, the rate of residents with high school diplomas is higher at 13.1% compared to 0.0% in Chester.
- The percentage of residents with less than a high school education is higher in Apopka at 12.3%, compared to 0.0% in Chester.
- In Apopka, a larger share of residents have a bachelor's degree or higher at 23.4% compared to 0.0% in Chester.
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.