Demographics details for Dedham, IA vs Experiment, GA
Population Overview
Compare main population characteristics in Dedham, IA vs Experiment, GA.
| Data | Dedham | Experiment |
|---|---|---|
| Population | 219 | 2,578 |
| Median Age | 30.7 years | 37.3 years |
| Median Income | $85,417 | $28,955 |
| Married Families | 41.0% | 17.0% |
| Poverty Level | 5% | 13% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Dedham vs Experiment
- The population in Experiment is higher at 2,578, compared to 219 in Dedham.
- The median age in Experiment is higher at 37.3 years, compared to 30.7 years in Dedham.
- Dedham has a higher median income of $85,417 compared to $28,955 in Experiment.
- A higher percentage of married families is found in Dedham at 41.0% compared to 17.0% in Experiment.
- The poverty level is higher in Experiment at 13%, compared to 5% in Dedham.
- Experiment has a higher unemployment rate at 4.2% compared to 3.2% in Dedham.
Demographics
Demographics Dedham vs Experiment provide insight into the diversity of the communities to compare.
| Demographic | Dedham | Experiment |
|---|---|---|
| Black | Data is updating | 55 |
| White | 98 | 38 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 6 |
| Two or More Races | 1 | Data is updating |
| American Indian | Data is updating | 1 |
Demographics Comparison: Dedham vs Experiment
- In Experiment, the percentage of Black residents is higher at 55% compared to 0% in Dedham.
- Dedham has a higher percentage of White residents at 98% compared to 38% in Experiment.
- Both Dedham and Experiment have the same percentage of Asian residents at 0%.
- Experiment has a higher percentage of Hispanic residents at 6%, compared to 1% in Dedham.
- More residents identify as two or more races in Dedham at 1% compared to 0% in Experiment.
- In Experiment, the percentage of American Indian residents is higher at 1%, compared to 0% in Dedham.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dedham | Experiment |
|---|---|---|
| Mental Health Not Good | 15.2% | 22.7% |
| Physical Health Not Good | 9.6% | 19.6% |
| Depression | 18.7% | 22.2% |
| Smoking | 17.6% | 31.3% |
| Binge Drinking | 22.9% | 11.8% |
| Obesity | 38.9% | 44.5% |
| Disability Percentage | 8.0% | 18.0% |
Health Statistics Comparison: Dedham vs Experiment
- In Experiment, a higher percentage report poor mental health at 22.7% compared to 15.2% in Dedham.
- Higher depression rates are seen in Experiment at 22.2% versus 18.7% in Dedham.
- Experiment has a higher smoking rate at 31.3% compared to 17.6% in Dedham.
- Binge drinking is more common in Dedham at 22.9% compared to 11.8% in Experiment.
- Experiment has higher obesity rates at 44.5% compared to 38.9% in Dedham.
- There is a higher percentage of disabled individuals in Experiment at 18.0% compared to 8.0% in Dedham.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dedham | Experiment |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.2% (83) |
| High School Diploma | 21.5% (47) | 29.1% (749) |
| Less than High School | 1.8% (4) | 33.7% (869) |
| Bachelor's Degree and Higher | 7.3% (16) | 3.8% (98) |
Education Levels Comparison: Dedham vs Experiment
- In Experiment, a larger percentage of residents lack formal schooling at 3.2% compared to 0.0% in Dedham.
- In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 21.5% in Dedham.
- The percentage of residents with less than a high school education is higher in Experiment at 33.7%, compared to 1.8% in Dedham.
- A higher percentage of residents in Dedham hold a bachelor's degree or higher at 7.3% compared to 3.8% in Experiment.
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.