Demographics details for Dayton, OH vs Mission, TX
Population Overview
Compare main population characteristics in Dayton, OH vs Mission, TX.
| Data | Dayton | Mission |
|---|---|---|
| Population | 135,944 | 86,635 |
| Median Age | 34.0 years | 33.7 years |
| Median Income | $41,443 | $56,421 |
| Married Families | 21.0% | 38.0% |
| Poverty Level | 18% | 20% |
| Unemployment Rate | 6.8 | 6.3 |
Population Comparison: Dayton vs Mission
- In Dayton, the population is higher at 135,944, compared to 86,635 in Mission.
- Residents in Dayton have a higher median age of 34.0 years compared to 33.7 years in Mission.
- Mission has a higher median income of $56,421, compared to $41,443 in Dayton.
- In Mission, the percentage of married families is higher at 38.0%, compared to 21.0% in Dayton.
- The poverty level is higher in Mission at 20%, compared to 18% in Dayton.
- The unemployment rate in Dayton is higher at 6.8%, compared to 6.3% in Mission.
Demographics
Demographics Dayton vs Mission provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Mission |
|---|---|---|
| Black | 38 | 1 |
| White | 50 | -29 |
| Asian | 1 | 2 |
| Hispanic | 5 | 88 |
| Two or More Races | 6 | 37 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Dayton vs Mission
- A higher percentage of Black residents are in Dayton at 38% compared to 1% in Mission.
- Dayton has a higher percentage of White residents at 50% compared to -29% in Mission.
- In Mission, the Asian population stands at 2%, greater than 1% in Dayton.
- Mission has a higher percentage of Hispanic residents at 88%, compared to 5% in Dayton.
- The percentage of residents identifying as two or more races is higher in Mission at 37%, compared to 6% in Dayton.
- In Mission, the percentage of American Indian residents is higher at 1%, compared to 0% in Dayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Mission |
|---|---|---|
| Mental Health Not Good | 21.9% | 17.0% |
| Physical Health Not Good | 16.5% | 14.0% |
| Depression | 26.5% | 19.0% |
| Smoking | 26.0% | 14.2% |
| Binge Drinking | 15.2% | 17.1% |
| Obesity | 47.6% | 41.9% |
| Disability Percentage | 18.0% | 13.0% |
Health Statistics Comparison: Dayton vs Mission
- More residents in Dayton report poor mental health at 21.9% compared to 17.0% in Mission.
- Depression is more prevalent in Dayton at 26.5% compared to 19.0% in Mission.
- Smoking is more prevalent in Dayton at 26.0% compared to 14.2% in Mission.
- More residents engage in binge drinking in Mission at 17.1% compared to 15.2% in Dayton.
- Obesity rates are higher in Dayton at 47.6% compared to 41.9% in Mission.
- Disability percentages are higher in Dayton at 18.0% compared to 13.0% in Mission.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dayton | Mission |
|---|---|---|
| No Schooling | 0.9% (1,157) | 1.8% (1,566) |
| High School Diploma | 16.3% (22,101) | 11.0% (9,541) |
| Less than High School | 13.9% (18,900) | 29.1% (25,172) |
| Bachelor's Degree and Higher | 12.7% (17,260) | 17.1% (14,851) |
Education Levels Comparison: Dayton vs Mission
- In Mission, a larger percentage of residents lack formal schooling at 1.8% compared to 0.9% in Dayton.
- A higher percentage of residents in Dayton hold a high school diploma at 16.3% compared to 11.0% in Mission.
- The percentage of residents with less than a high school education is higher in Mission at 29.1%, compared to 13.9% in Dayton.
- In Mission, a larger share of residents have a bachelor's degree or higher at 17.1% compared to 12.7% in Dayton.
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.