Demographics details for Marion, OH vs Waterbury, CT
Population Overview
Compare main population characteristics in Marion, OH vs Waterbury, CT.
| Data | Marion | Waterbury |
|---|---|---|
| Population | 35,327 | 115,016 |
| Median Age | 37.7 years | 36.7 years |
| Median Income | $44,879 | $51,451 |
| Married Families | 29.0% | 28.0% |
| Poverty Level | 16% | 13% |
| Unemployment Rate | 6.0 | 4.5 |
Population Comparison: Marion vs Waterbury
- The population in Waterbury is higher at 115,016, compared to 35,327 in Marion.
- Residents in Marion have a higher median age of 37.7 years compared to 36.7 years in Waterbury.
- Waterbury has a higher median income of $51,451, compared to $44,879 in Marion.
- A higher percentage of married families is found in Marion at 29.0% compared to 28.0% in Waterbury.
- Marion has a higher poverty level at 16% compared to 13% in Waterbury.
- The unemployment rate in Marion is higher at 6.0%, compared to 4.5% in Waterbury.
Demographics
Demographics Marion vs Waterbury provide insight into the diversity of the communities to compare.
| Demographic | Marion | Waterbury |
|---|---|---|
| Black | 9 | 28 |
| White | 79 | 22 |
| Asian | Data is updating | 3 |
| Hispanic | 5 | 36 |
| Two or More Races | 7 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marion vs Waterbury
- In Waterbury, the percentage of Black residents is higher at 28% compared to 9% in Marion.
- Marion has a higher percentage of White residents at 79% compared to 22% in Waterbury.
- In Waterbury, the Asian population stands at 3%, greater than 0% in Marion.
- Waterbury has a higher percentage of Hispanic residents at 36%, compared to 5% in Marion.
- The percentage of residents identifying as two or more races is higher in Waterbury at 11%, compared to 7% in Marion.
- The percentage of American Indian residents is the same in both Marion and Waterbury at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marion | Waterbury |
|---|---|---|
| Mental Health Not Good | 19.2% | 17.3% |
| Physical Health Not Good | 14.7% | 13.3% |
| Depression | 24.8% | 22.0% |
| Smoking | 27.8% | 21.8% |
| Binge Drinking | 17.6% | 13.7% |
| Obesity | 48.6% | 37.1% |
| Disability Percentage | 17.0% | 16.0% |
Health Statistics Comparison: Marion vs Waterbury
- More residents in Marion report poor mental health at 19.2% compared to 17.3% in Waterbury.
- Depression is more prevalent in Marion at 24.8% compared to 22.0% in Waterbury.
- Smoking is more prevalent in Marion at 27.8% compared to 21.8% in Waterbury.
- Binge drinking is more common in Marion at 17.6% compared to 13.7% in Waterbury.
- Obesity rates are higher in Marion at 48.6% compared to 37.1% in Waterbury.
- Disability percentages are higher in Marion at 17.0% compared to 16.0% in Waterbury.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marion | Waterbury |
|---|---|---|
| No Schooling | 1.1% (383) | 1.9% (2,221) |
| High School Diploma | 25.9% (9,142) | 21.4% (24,629) |
| Less than High School | 16.3% (5,747) | 20.7% (23,816) |
| Bachelor's Degree and Higher | 7.2% (2,557) | 11.1% (12,745) |
Education Levels Comparison: Marion vs Waterbury
- In Waterbury, a larger percentage of residents lack formal schooling at 1.9% compared to 1.1% in Marion.
- A higher percentage of residents in Marion hold a high school diploma at 25.9% compared to 21.4% in Waterbury.
- The percentage of residents with less than a high school education is higher in Waterbury at 20.7%, compared to 16.3% in Marion.
- In Waterbury, a larger share of residents have a bachelor's degree or higher at 11.1% compared to 7.2% in Marion.
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.