Demographics details for Marion, OH vs Sweetwater, TX
Population Overview
Compare main population characteristics in Marion, OH vs Sweetwater, TX.
| Data | Marion | Sweetwater |
|---|---|---|
| Population | 35,327 | 10,408 |
| Median Age | 37.7 years | 35.7 years |
| Median Income | $44,879 | $44,306 |
| Married Families | 29.0% | 32.0% |
| Poverty Level | 16% | 15% |
| Unemployment Rate | 6.0 | 5.4 |
Population Comparison: Marion vs Sweetwater
- In Marion, the population is higher at 35,327, compared to 10,408 in Sweetwater.
- Residents in Marion have a higher median age of 37.7 years compared to 35.7 years in Sweetwater.
- Marion has a higher median income of $44,879 compared to $44,306 in Sweetwater.
- In Sweetwater, the percentage of married families is higher at 32.0%, compared to 29.0% in Marion.
- Marion has a higher poverty level at 16% compared to 15% in Sweetwater.
- The unemployment rate in Marion is higher at 6.0%, compared to 5.4% in Sweetwater.
Demographics
Demographics Marion vs Sweetwater provide insight into the diversity of the communities to compare.
| Demographic | Marion | Sweetwater |
|---|---|---|
| Black | 9 | 6 |
| White | 79 | 34 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 46 |
| Two or More Races | 7 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Marion vs Sweetwater
- A higher percentage of Black residents are in Marion at 9% compared to 6% in Sweetwater.
- Marion has a higher percentage of White residents at 79% compared to 34% in Sweetwater.
- Both Marion and Sweetwater have the same percentage of Asian residents at 0%.
- Sweetwater has a higher percentage of Hispanic residents at 46%, compared to 5% in Marion.
- The percentage of residents identifying as two or more races is higher in Sweetwater at 13%, compared to 7% in Marion.
- In Sweetwater, the percentage of American Indian residents is higher at 1%, compared to 0% in Marion.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marion | Sweetwater |
|---|---|---|
| Mental Health Not Good | 19.2% | 19.1% |
| Physical Health Not Good | 14.7% | 14.3% |
| Depression | 24.8% | 24.2% |
| Smoking | 27.8% | 20.3% |
| Binge Drinking | 17.6% | 17.3% |
| Obesity | 48.6% | 38.9% |
| Disability Percentage | 17.0% | 21.0% |
Health Statistics Comparison: Marion vs Sweetwater
- More residents in Marion report poor mental health at 19.2% compared to 19.1% in Sweetwater.
- Depression is more prevalent in Marion at 24.8% compared to 24.2% in Sweetwater.
- Smoking is more prevalent in Marion at 27.8% compared to 20.3% in Sweetwater.
- Binge drinking is more common in Marion at 17.6% compared to 17.3% in Sweetwater.
- Obesity rates are higher in Marion at 48.6% compared to 38.9% in Sweetwater.
- There is a higher percentage of disabled individuals in Sweetwater at 21.0% compared to 17.0% in Marion.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marion | Sweetwater |
|---|---|---|
| No Schooling | 1.1% (383) | 1.9% (194) |
| High School Diploma | 25.9% (9,142) | 16.0% (1,666) |
| Less than High School | 16.3% (5,747) | 23.1% (2,408) |
| Bachelor's Degree and Higher | 7.2% (2,557) | 7.0% (733) |
Education Levels Comparison: Marion vs Sweetwater
- In Sweetwater, 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 16.0% in Sweetwater.
- The percentage of residents with less than a high school education is higher in Sweetwater at 23.1%, compared to 16.3% in Marion.
- A higher percentage of residents in Marion hold a bachelor's degree or higher at 7.2% compared to 7.0% in Sweetwater.
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.