Demographics details for Oriskany falls, NY vs Holland, MI
Population Overview
Compare main population characteristics in Oriskany falls, NY vs Holland, MI.
| Data | Oriskany falls | Holland |
|---|---|---|
| Population | 645 | 34,006 |
| Median Age | 38.6 years | 33.1 years |
| Median Income | $44,792 | $69,152 |
| Married Families | 35.0% | 34.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.2 | 4.3 |
Population Comparison: Oriskany falls vs Holland
- The population in Holland is higher at 34,006, compared to 645 in Oriskany falls.
- Residents in Oriskany falls have a higher median age of 38.6 years compared to 33.1 years in Holland.
- Holland has a higher median income of $69,152, compared to $44,792 in Oriskany falls.
- A higher percentage of married families is found in Oriskany falls at 35.0% compared to 34.0% in Holland.
- The poverty level is identical in both Oriskany falls and Holland at 10%.
- Holland has a higher unemployment rate at 4.3% compared to 4.2% in Oriskany falls.
Demographics
Demographics Oriskany falls vs Holland provide insight into the diversity of the communities to compare.
| Demographic | Oriskany falls | Holland |
|---|---|---|
| Black | 1 | 6 |
| White | 92 | 56 |
| Asian | Data is updating | 3 |
| Hispanic | 3 | 24 |
| Two or More Races | 4 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Oriskany falls vs Holland
- In Holland, the percentage of Black residents is higher at 6% compared to 1% in Oriskany falls.
- Oriskany falls has a higher percentage of White residents at 92% compared to 56% in Holland.
- In Holland, the Asian population stands at 3%, greater than 0% in Oriskany falls.
- Holland has a higher percentage of Hispanic residents at 24%, compared to 3% in Oriskany falls.
- The percentage of residents identifying as two or more races is higher in Holland at 10%, compared to 4% in Oriskany falls.
- In Holland, the percentage of American Indian residents is higher at 1%, compared to 0% in Oriskany falls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oriskany falls | Holland |
|---|---|---|
| Mental Health Not Good | 15.9% | 16.2% |
| Physical Health Not Good | 9.9% | 10.5% |
| Depression | 25.1% | 23.4% |
| Smoking | 19.7% | 15.4% |
| Binge Drinking | 20.6% | 18.1% |
| Obesity | 33.3% | 35.7% |
| Disability Percentage | 18.0% | 13.0% |
Health Statistics Comparison: Oriskany falls vs Holland
- In Holland, a higher percentage report poor mental health at 16.2% compared to 15.9% in Oriskany falls.
- Depression is more prevalent in Oriskany falls at 25.1% compared to 23.4% in Holland.
- Smoking is more prevalent in Oriskany falls at 19.7% compared to 15.4% in Holland.
- Binge drinking is more common in Oriskany falls at 20.6% compared to 18.1% in Holland.
- Holland has higher obesity rates at 35.7% compared to 33.3% in Oriskany falls.
- Disability percentages are higher in Oriskany falls at 18.0% compared to 13.0% in Holland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oriskany falls | Holland |
|---|---|---|
| No Schooling | 1.9% (12) | 0.4% (146) |
| High School Diploma | 20.0% (129) | 13.4% (4,553) |
| Less than High School | 11.5% (74) | 9.6% (3,279) |
| Bachelor's Degree and Higher | 16.1% (104) | 20.7% (7,030) |
Education Levels Comparison: Oriskany falls vs Holland
- A higher percentage of residents in Oriskany falls have no formal schooling at 1.9% compared to 0.4% in Holland.
- A higher percentage of residents in Oriskany falls hold a high school diploma at 20.0% compared to 13.4% in Holland.
- More residents in Oriskany falls have less than a high school education at 11.5% compared to 9.6% in Holland.
- In Holland, a larger share of residents have a bachelor's degree or higher at 20.7% compared to 16.1% in Oriskany falls.
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.