Demographics details for Mc graw, NY vs Whitehall, WI
Population Overview
Compare main population characteristics in Mc graw, NY vs Whitehall, WI.
| Data | Mc graw | Whitehall |
|---|---|---|
| Population | 994 | 1,632 |
| Median Age | 32.0 years | 36.8 years |
| Median Income | $60,781 | $56,894 |
| Married Families | 38.0% | 30.0% |
| Poverty Level | 7% | 7% |
| Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Mc graw vs Whitehall
- The population in Whitehall is higher at 1,632, compared to 994 in Mc graw.
- The median age in Whitehall is higher at 36.8 years, compared to 32.0 years in Mc graw.
- Mc graw has a higher median income of $60,781 compared to $56,894 in Whitehall.
- A higher percentage of married families is found in Mc graw at 38.0% compared to 30.0% in Whitehall.
- The poverty level is identical in both Mc graw and Whitehall at 7%.
- Whitehall has a higher unemployment rate at 3.6% compared to 3.5% in Mc graw.
Demographics
Demographics Mc graw vs Whitehall provide insight into the diversity of the communities to compare.
| Demographic | Mc graw | Whitehall |
|---|---|---|
| Black | Data is updating | 1 |
| White | 88 | 83 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 12 |
| Two or More Races | 8 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mc graw vs Whitehall
- In Whitehall, the percentage of Black residents is higher at 1% compared to 0% in Mc graw.
- Mc graw has a higher percentage of White residents at 88% compared to 83% in Whitehall.
- Both Mc graw and Whitehall have the same percentage of Asian residents at 0%.
- Whitehall has a higher percentage of Hispanic residents at 12%, compared to 4% in Mc graw.
- More residents identify as two or more races in Mc graw at 8% compared to 3% in Whitehall.
- In Whitehall, the percentage of American Indian residents is higher at 1%, compared to 0% in Mc graw.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mc graw | Whitehall |
|---|---|---|
| Mental Health Not Good | 16.2% | 15.2% |
| Physical Health Not Good | 10.2% | 10.3% |
| Depression | 25.5% | 24.0% |
| Smoking | 18.6% | 16.7% |
| Binge Drinking | 19.1% | 24.4% |
| Obesity | 37.3% | 34.9% |
| Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: Mc graw vs Whitehall
- More residents in Mc graw report poor mental health at 16.2% compared to 15.2% in Whitehall.
- Depression is more prevalent in Mc graw at 25.5% compared to 24.0% in Whitehall.
- Smoking is more prevalent in Mc graw at 18.6% compared to 16.7% in Whitehall.
- More residents engage in binge drinking in Whitehall at 24.4% compared to 19.1% in Mc graw.
- Obesity rates are higher in Mc graw at 37.3% compared to 34.9% in Whitehall.
- There is a higher percentage of disabled individuals in Whitehall at 15.0% compared to 14.0% in Mc graw.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mc graw | Whitehall |
|---|---|---|
| No Schooling | 0.3% (3) | 0.4% (7) |
| High School Diploma | 27.1% (269) | 24.4% (398) |
| Less than High School | 15.1% (150) | 15.7% (256) |
| Bachelor's Degree and Higher | 8.8% (87) | 8.6% (141) |
Education Levels Comparison: Mc graw vs Whitehall
- In Whitehall, a larger percentage of residents lack formal schooling at 0.4% compared to 0.3% in Mc graw.
- A higher percentage of residents in Mc graw hold a high school diploma at 27.1% compared to 24.4% in Whitehall.
- The percentage of residents with less than a high school education is higher in Whitehall at 15.7%, compared to 15.1% in Mc graw.
- A higher percentage of residents in Mc graw hold a bachelor's degree or higher at 8.8% compared to 8.6% in Whitehall.
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.