Demographics details for Jefferson, MD vs Indianola, IA
Population Overview
Compare main population characteristics in Jefferson, MD vs Indianola, IA.
| Data | Jefferson | Indianola |
|---|---|---|
| Population | 2,742 | 16,069 |
| Median Age | 41.4 years | 34.7 years |
| Median Income | $137,667 | $73,534 |
| Married Families | 51.0% | 37.0% |
| Poverty Level | Data is updating | 7% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Jefferson vs Indianola
- The population in Indianola is higher at 16,069, compared to 2,742 in Jefferson.
- Residents in Jefferson have a higher median age of 41.4 years compared to 34.7 years in Indianola.
- Jefferson has a higher median income of $137,667 compared to $73,534 in Indianola.
- A higher percentage of married families is found in Jefferson at 51.0% compared to 37.0% in Indianola.
- The poverty level is higher in Indianola at 7%, compared to 0% in Jefferson.
- The unemployment rate is the same in both Jefferson and Indianola at 3.2%.
Demographics
Demographics Jefferson vs Indianola provide insight into the diversity of the communities to compare.
| Demographic | Jefferson | Indianola |
|---|---|---|
| Black | 6 | 1 |
| White | 82 | 91 |
| Asian | 3 | 2 |
| Hispanic | 5 | 2 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Jefferson vs Indianola
- A higher percentage of Black residents are in Jefferson at 6% compared to 1% in Indianola.
- The percentage of White residents is higher in Indianola at 91% compared to 82% in Jefferson.
- The Asian population is larger in Jefferson at 3% compared to 2% in Indianola.
- The Hispanic community is larger in Jefferson at 5% compared to 2% in Indianola.
- Both Jefferson and Indianola have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Jefferson and Indianola at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Jefferson | Indianola |
|---|---|---|
| Mental Health Not Good | 14.8% | 15.7% |
| Physical Health Not Good | 7.8% | 9.7% |
| Depression | 20.4% | 19.0% |
| Smoking | 12.6% | 16.5% |
| Binge Drinking | 17.8% | 21.4% |
| Obesity | 32.1% | 39.2% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Jefferson vs Indianola
- In Indianola, a higher percentage report poor mental health at 15.7% compared to 14.8% in Jefferson.
- Depression is more prevalent in Jefferson at 20.4% compared to 19.0% in Indianola.
- Indianola has a higher smoking rate at 16.5% compared to 12.6% in Jefferson.
- More residents engage in binge drinking in Indianola at 21.4% compared to 17.8% in Jefferson.
- Indianola has higher obesity rates at 39.2% compared to 32.1% in Jefferson.
- There is a higher percentage of disabled individuals in Indianola at 12.0% compared to 11.0% in Jefferson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Jefferson | Indianola |
|---|---|---|
| No Schooling | 0.4% (10) | 0.3% (43) |
| High School Diploma | 18.8% (516) | 14.5% (2,326) |
| Less than High School | 2.3% (62) | 3.5% (566) |
| Bachelor's Degree and Higher | 27.4% (751) | 20.0% (3,217) |
Education Levels Comparison: Jefferson vs Indianola
- A higher percentage of residents in Jefferson have no formal schooling at 0.4% compared to 0.3% in Indianola.
- A higher percentage of residents in Jefferson hold a high school diploma at 18.8% compared to 14.5% in Indianola.
- The percentage of residents with less than a high school education is higher in Indianola at 3.5%, compared to 2.3% in Jefferson.
- A higher percentage of residents in Jefferson hold a bachelor's degree or higher at 27.4% compared to 20.0% in Indianola.
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.