Demographics details for Dayton, PA vs Mccurtain, OK
Population Overview
Compare main population characteristics in Dayton, PA vs Mccurtain, OK.
| Data | Dayton | Mccurtain |
|---|---|---|
| Population | 544 | 30,931 |
| Median Age | 44.7 years | 38.2 years |
| Median Income | $53,750 | $47,046 |
| Married Families | 50.0% | 37.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 4.5 | 4.6 |
Population Comparison: Dayton vs Mccurtain
- The population in Mccurtain is higher at 30,931, compared to 544 in Dayton.
- Residents in Dayton have a higher median age of 44.7 years compared to 38.2 years in Mccurtain.
- Dayton has a higher median income of $53,750 compared to $47,046 in Mccurtain.
- A higher percentage of married families is found in Dayton at 50.0% compared to 37.0% in Mccurtain.
- The poverty level is higher in Mccurtain at 12%, compared to 7% in Dayton.
- Mccurtain has a higher unemployment rate at 4.6% compared to 4.5% in Dayton.
Demographics
Demographics Dayton vs Mccurtain provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Mccurtain |
|---|---|---|
| Black | Data is updating | 8 |
| White | 96 | 58 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 7 |
| Two or More Races | 4 | 12 |
| American Indian | Data is updating | 14 |
Demographics Comparison: Dayton vs Mccurtain
- In Mccurtain, the percentage of Black residents is higher at 8% compared to 0% in Dayton.
- Dayton has a higher percentage of White residents at 96% compared to 58% in Mccurtain.
- In Mccurtain, the Asian population stands at 1%, greater than 0% in Dayton.
- Mccurtain has a higher percentage of Hispanic residents at 7%, compared to 0% in Dayton.
- The percentage of residents identifying as two or more races is higher in Mccurtain at 12%, compared to 4% in Dayton.
- In Mccurtain, the percentage of American Indian residents is higher at 14%, compared to 0% in Dayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Mccurtain |
|---|---|---|
| Mental Health Not Good | 18.1% | 20.9% |
| Physical Health Not Good | 13.0% | 15.2% |
| Depression | 24.0% | 26.9% |
| Smoking | 22.4% | 25.0% |
| Binge Drinking | 18.3% | 13.7% |
| Obesity | 36.0% | 46.9% |
| Disability Percentage | 22.0% | 21.0% |
Health Statistics Comparison: Dayton vs Mccurtain
- In Mccurtain, a higher percentage report poor mental health at 20.9% compared to 18.1% in Dayton.
- Higher depression rates are seen in Mccurtain at 26.9% versus 24.0% in Dayton.
- Mccurtain has a higher smoking rate at 25.0% compared to 22.4% in Dayton.
- Binge drinking is more common in Dayton at 18.3% compared to 13.7% in Mccurtain.
- Mccurtain has higher obesity rates at 46.9% compared to 36.0% in Dayton.
- Disability percentages are higher in Dayton at 22.0% compared to 21.0% in Mccurtain.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dayton | Mccurtain |
|---|---|---|
| No Schooling | 0.6% (3) | 0.7% (209) |
| High School Diploma | 35.1% (191) | 23.5% (7,268) |
| Less than High School | 15.8% (86) | 17.2% (5,334) |
| Bachelor's Degree and Higher | 9.2% (50) | 10.3% (3,200) |
Education Levels Comparison: Dayton vs Mccurtain
- In Mccurtain, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Dayton.
- A higher percentage of residents in Dayton hold a high school diploma at 35.1% compared to 23.5% in Mccurtain.
- The percentage of residents with less than a high school education is higher in Mccurtain at 17.2%, compared to 15.8% in Dayton.
- In Mccurtain, a larger share of residents have a bachelor's degree or higher at 10.3% compared to 9.2% 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.