Demographics details for Dixon, CA vs Jeffersonville, IN
Population Overview
Compare main population characteristics in Dixon, CA vs Jeffersonville, IN.
Data | Dixon | Jeffersonville |
---|---|---|
Population | 19,143 | 51,030 |
Median Age | 33.5 years | 38.6 years |
Median Income | $92,138 | $67,566 |
Married Families | 38.0% | 37.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 5.2 | 4.1 |
Population Comparison: Dixon vs Jeffersonville
- The population in Jeffersonville is higher at 51,030, compared to 19,143 in Dixon.
- The median age in Jeffersonville is higher at 38.6 years, compared to 33.5 years in Dixon.
- Dixon has a higher median income of $92,138 compared to $67,566 in Jeffersonville.
- A higher percentage of married families is found in Dixon at 38.0% compared to 37.0% in Jeffersonville.
- The poverty level is identical in both Dixon and Jeffersonville at 10%.
- The unemployment rate in Dixon is higher at 5.2%, compared to 4.1% in Jeffersonville.
Demographics
Demographics Dixon vs Jeffersonville provide insight into the diversity of the communities to compare.
Demographic | Dixon | Jeffersonville |
---|---|---|
Black | 2 | 12 |
White | 40 | 75 |
Asian | 3 | 1 |
Hispanic | 41 | 5 |
Two or More Races | 14 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Dixon vs Jeffersonville
- In Jeffersonville, the percentage of Black residents is higher at 12% compared to 2% in Dixon.
- The percentage of White residents is higher in Jeffersonville at 75% compared to 40% in Dixon.
- The Asian population is larger in Dixon at 3% compared to 1% in Jeffersonville.
- The Hispanic community is larger in Dixon at 41% compared to 5% in Jeffersonville.
- More residents identify as two or more races in Dixon at 14% compared to 7% in Jeffersonville.
- The percentage of American Indian residents is the same in both Dixon and Jeffersonville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dixon | Jeffersonville |
---|---|---|
Mental Health Not Good | 16.7% | 17.3% |
Physical Health Not Good | 11.7% | 11.7% |
Depression | 19.8% | 23.5% |
Smoking | 12.9% | 20.2% |
Binge Drinking | 17.2% | 16.9% |
Obesity | 31.6% | 40.2% |
Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Dixon vs Jeffersonville
- In Jeffersonville, a higher percentage report poor mental health at 17.3% compared to 16.7% in Dixon.
- Higher depression rates are seen in Jeffersonville at 23.5% versus 19.8% in Dixon.
- Jeffersonville has a higher smoking rate at 20.2% compared to 12.9% in Dixon.
- Binge drinking is more common in Dixon at 17.2% compared to 16.9% in Jeffersonville.
- Jeffersonville has higher obesity rates at 40.2% compared to 31.6% in Dixon.
- There is a higher percentage of disabled individuals in Jeffersonville at 13.0% compared to 11.0% in Dixon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Dixon | Jeffersonville |
---|---|---|
No Schooling | 2.0% (380) | 0.6% (293) |
High School Diploma | 15.7% (3,013) | 18.6% (9,472) |
Less than High School | 18.1% (3,473) | 9.7% (4,952) |
Bachelor's Degree and Higher | 14.1% (2,695) | 16.9% (8,649) |
Education Levels Comparison: Dixon vs Jeffersonville
- A higher percentage of residents in Dixon have no formal schooling at 2.0% compared to 0.6% in Jeffersonville.
- In Jeffersonville, the rate of residents with high school diplomas is higher at 18.6% compared to 15.7% in Dixon.
- More residents in Dixon have less than a high school education at 18.1% compared to 9.7% in Jeffersonville.
- In Jeffersonville, a larger share of residents have a bachelor's degree or higher at 16.9% compared to 14.1% in Dixon.
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.