Demographics details for Apopka, FL vs Jefferson, OR
Population Overview
Compare main population characteristics in Apopka, FL vs Jefferson, OR.
Data | Apopka | Jefferson |
---|---|---|
Population | 57,017 | 3,304 |
Median Age | 38.9 years | 31.7 years |
Median Income | $87,394 | $87,604 |
Married Families | 41.0% | 39.0% |
Poverty Level | 9% | 10% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Apopka vs Jefferson
- In Apopka, the population is higher at 57,017, compared to 3,304 in Jefferson.
- Residents in Apopka have a higher median age of 38.9 years compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604, compared to $87,394 in Apopka.
- A higher percentage of married families is found in Apopka at 41.0% compared to 39.0% in Jefferson.
- The poverty level is higher in Jefferson at 10%, compared to 9% in Apopka.
- The unemployment rate is the same in both Apopka and Jefferson at 3.5%.
Demographics
Demographics Apopka vs Jefferson provide insight into the diversity of the communities to compare.
Demographic | Apopka | Jefferson |
---|---|---|
Black | 24 | 2 |
White | 30 | 67 |
Asian | 4 | Data is updating |
Hispanic | 27 | 20 |
Two or More Races | 15 | 10 |
American Indian | Data is updating | 1 |
Demographics Comparison: Apopka vs Jefferson
- A higher percentage of Black residents are in Apopka at 24% compared to 2% in Jefferson.
- The percentage of White residents is higher in Jefferson at 67% compared to 30% in Apopka.
- The Asian population is larger in Apopka at 4% compared to 0% in Jefferson.
- The Hispanic community is larger in Apopka at 27% compared to 20% in Jefferson.
- More residents identify as two or more races in Apopka at 15% compared to 10% in Jefferson.
- In Jefferson, the percentage of American Indian residents is higher at 1%, compared to 0% in Apopka.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Apopka | Jefferson |
---|---|---|
Mental Health Not Good | 15.9% | 18.4% |
Physical Health Not Good | 11.1% | 12.0% |
Depression | 17.9% | 28.9% |
Smoking | 18.5% | 16.5% |
Binge Drinking | 14.7% | 16.4% |
Obesity | 29.8% | 36.5% |
Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Apopka vs Jefferson
- In Jefferson, a higher percentage report poor mental health at 18.4% compared to 15.9% in Apopka.
- Higher depression rates are seen in Jefferson at 28.9% versus 17.9% in Apopka.
- Smoking is more prevalent in Apopka at 18.5% compared to 16.5% in Jefferson.
- More residents engage in binge drinking in Jefferson at 16.4% compared to 14.7% in Apopka.
- Jefferson has higher obesity rates at 36.5% compared to 29.8% in Apopka.
- There is a higher percentage of disabled individuals in Jefferson at 13.0% compared to 10.0% in Apopka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Apopka | Jefferson |
---|---|---|
No Schooling | 0.9% (499) | 2.4% (78) |
High School Diploma | 13.1% (7,455) | 13.0% (430) |
Less than High School | 12.3% (7,016) | 13.9% (458) |
Bachelor's Degree and Higher | 23.4% (13,353) | 11.0% (363) |
Education Levels Comparison: Apopka vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.4% compared to 0.9% in Apopka.
- A higher percentage of residents in Apopka hold a high school diploma at 13.1% compared to 13.0% in Jefferson.
- The percentage of residents with less than a high school education is higher in Jefferson at 13.9%, compared to 12.3% in Apopka.
- A higher percentage of residents in Apopka hold a bachelor's degree or higher at 23.4% compared to 11.0% in Jefferson.
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.