Demographics details for Onalaska, TX vs Mount pocono, PA
Population Overview
Compare main population characteristics in Onalaska, TX vs Mount pocono, PA.
| Data | Onalaska | Mount pocono |
|---|---|---|
| Population | 3,205 | 3,071 |
| Median Age | 45.2 years | 38.5 years |
| Median Income | $56,168 | $81,127 |
| Married Families | 35.0% | 30.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.5 | 4.8 |
Population Comparison: Onalaska vs Mount pocono
- In Onalaska, the population is higher at 3,205, compared to 3,071 in Mount pocono.
- Residents in Onalaska have a higher median age of 45.2 years compared to 38.5 years in Mount pocono.
- Mount pocono has a higher median income of $81,127, compared to $56,168 in Onalaska.
- A higher percentage of married families is found in Onalaska at 35.0% compared to 30.0% in Mount pocono.
- Onalaska has a higher poverty level at 12% compared to 10% in Mount pocono.
- Mount pocono has a higher unemployment rate at 4.8% compared to 4.5% in Onalaska.
Demographics
Demographics Onalaska vs Mount pocono provide insight into the diversity of the communities to compare.
| Demographic | Onalaska | Mount pocono |
|---|---|---|
| Black | 1 | 16 |
| White | 91 | 41 |
| Asian | Data is updating | 6 |
| Hispanic | 3 | 33 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Onalaska vs Mount pocono
- In Mount pocono, the percentage of Black residents is higher at 16% compared to 1% in Onalaska.
- Onalaska has a higher percentage of White residents at 91% compared to 41% in Mount pocono.
- In Mount pocono, the Asian population stands at 6%, greater than 0% in Onalaska.
- Mount pocono has a higher percentage of Hispanic residents at 33%, compared to 3% in Onalaska.
- More residents identify as two or more races in Onalaska at 5% compared to 4% in Mount pocono.
- The percentage of American Indian residents is the same in both Onalaska and Mount pocono at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Onalaska | Mount pocono |
|---|---|---|
| Mental Health Not Good | 19.0% | 16.1% |
| Physical Health Not Good | 12.5% | 11.8% |
| Depression | 26.0% | 20.1% |
| Smoking | 20.4% | 18.1% |
| Binge Drinking | 19.4% | 16.1% |
| Obesity | 39.9% | 34.3% |
| Disability Percentage | 24.0% | 13.0% |
Health Statistics Comparison: Onalaska vs Mount pocono
- More residents in Onalaska report poor mental health at 19.0% compared to 16.1% in Mount pocono.
- Depression is more prevalent in Onalaska at 26.0% compared to 20.1% in Mount pocono.
- Smoking is more prevalent in Onalaska at 20.4% compared to 18.1% in Mount pocono.
- Binge drinking is more common in Onalaska at 19.4% compared to 16.1% in Mount pocono.
- Obesity rates are higher in Onalaska at 39.9% compared to 34.3% in Mount pocono.
- Disability percentages are higher in Onalaska at 24.0% compared to 13.0% in Mount pocono.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Onalaska | Mount pocono |
|---|---|---|
| No Schooling | 0.7% (21) | 3.2% (98) |
| High School Diploma | 15.3% (491) | 27.4% (842) |
| Less than High School | 21.5% (689) | 18.1% (555) |
| Bachelor's Degree and Higher | 5.0% (161) | 15.9% (488) |
Education Levels Comparison: Onalaska vs Mount pocono
- In Mount pocono, a larger percentage of residents lack formal schooling at 3.2% compared to 0.7% in Onalaska.
- In Mount pocono, the rate of residents with high school diplomas is higher at 27.4% compared to 15.3% in Onalaska.
- More residents in Onalaska have less than a high school education at 21.5% compared to 18.1% in Mount pocono.
- In Mount pocono, a larger share of residents have a bachelor's degree or higher at 15.9% compared to 5.0% in Onalaska.
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.