Demographics details for Moorefield, WV vs Water mill, NY
Population Overview
Compare main population characteristics in Moorefield, WV vs Water mill, NY.
| Data | Moorefield | Water mill |
|---|---|---|
| Population | 2,495 | 2,308 |
| Median Age | 43.6 years | 54.9 years |
| Median Income | $51,985 | $174,919 |
| Married Families | 30.0% | 55.0% |
| Poverty Level | 13% | Data is updating |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Moorefield vs Water mill
- In Moorefield, the population is higher at 2,495, compared to 2,308 in Water mill.
- The median age in Water mill is higher at 54.9 years, compared to 43.6 years in Moorefield.
- Water mill has a higher median income of $174,919, compared to $51,985 in Moorefield.
- In Water mill, the percentage of married families is higher at 55.0%, compared to 30.0% in Moorefield.
- Moorefield has a higher poverty level at 13% compared to 0% in Water mill.
- The unemployment rate in Moorefield is higher at 3.5%, compared to 2.5% in Water mill.
Demographics
Demographics Moorefield vs Water mill provide insight into the diversity of the communities to compare.
| Demographic | Moorefield | Water mill |
|---|---|---|
| Black | 18 | 1 |
| White | 74 | 78 |
| Asian | Data is updating | 2 |
| Hispanic | 8 | 9 |
| Two or More Races | Data is updating | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Moorefield vs Water mill
- A higher percentage of Black residents are in Moorefield at 18% compared to 1% in Water mill.
- The percentage of White residents is higher in Water mill at 78% compared to 74% in Moorefield.
- In Water mill, the Asian population stands at 2%, greater than 0% in Moorefield.
- Water mill has a higher percentage of Hispanic residents at 9%, compared to 8% in Moorefield.
- The percentage of residents identifying as two or more races is higher in Water mill at 10%, compared to 0% in Moorefield.
- The percentage of American Indian residents is the same in both Moorefield and Water mill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moorefield | Water mill |
|---|---|---|
| Mental Health Not Good | 20.8% | 13.4% |
| Physical Health Not Good | 15.9% | 7.8% |
| Depression | 26.2% | 19.5% |
| Smoking | 23.9% | 11.0% |
| Binge Drinking | 12.8% | 17.2% |
| Obesity | 41.6% | 27.9% |
| Disability Percentage | 25.0% | 13.0% |
Health Statistics Comparison: Moorefield vs Water mill
- More residents in Moorefield report poor mental health at 20.8% compared to 13.4% in Water mill.
- Depression is more prevalent in Moorefield at 26.2% compared to 19.5% in Water mill.
- Smoking is more prevalent in Moorefield at 23.9% compared to 11.0% in Water mill.
- More residents engage in binge drinking in Water mill at 17.2% compared to 12.8% in Moorefield.
- Obesity rates are higher in Moorefield at 41.6% compared to 27.9% in Water mill.
- Disability percentages are higher in Moorefield at 25.0% compared to 13.0% in Water mill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Moorefield | Water mill |
|---|---|---|
| No Schooling | 1.2% (31) | 0.1% (3) |
| High School Diploma | 26.5% (661) | 10.1% (234) |
| Less than High School | 14.3% (356) | 3.1% (71) |
| Bachelor's Degree and Higher | 7.2% (179) | 65.8% (1,519) |
Education Levels Comparison: Moorefield vs Water mill
- A higher percentage of residents in Moorefield have no formal schooling at 1.2% compared to 0.1% in Water mill.
- A higher percentage of residents in Moorefield hold a high school diploma at 26.5% compared to 10.1% in Water mill.
- More residents in Moorefield have less than a high school education at 14.3% compared to 3.1% in Water mill.
- In Water mill, a larger share of residents have a bachelor's degree or higher at 65.8% compared to 7.2% in Moorefield.
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.