Demographics details for West winfield, NY vs Norfolk, NE
Population Overview
Compare main population characteristics in West winfield, NY vs Norfolk, NE.
Data | West winfield | Norfolk |
---|---|---|
Population | 741 | 25,928 |
Median Age | 40.1 years | 36.8 years |
Median Income | $70,000 | $57,479 |
Married Families | 44.0% | 38.0% |
Poverty Level | 9% | 10% |
Unemployment Rate | 4.5 | 3.1 |
Population Comparison: West winfield vs Norfolk
- The population in Norfolk is higher at 25,928, compared to 741 in West winfield.
- Residents in West winfield have a higher median age of 40.1 years compared to 36.8 years in Norfolk.
- West winfield has a higher median income of $70,000 compared to $57,479 in Norfolk.
- A higher percentage of married families is found in West winfield at 44.0% compared to 38.0% in Norfolk.
- The poverty level is higher in Norfolk at 10%, compared to 9% in West winfield.
- The unemployment rate in West winfield is higher at 4.5%, compared to 3.1% in Norfolk.
Demographics
Demographics West winfield vs Norfolk provide insight into the diversity of the communities to compare.
Demographic | West winfield | Norfolk |
---|---|---|
Black | Data is updating | 1 |
White | 68 | 75 |
Asian | Data is updating | 1 |
Hispanic | 15 | 14 |
Two or More Races | 17 | 8 |
American Indian | Data is updating | 1 |
Demographics Comparison: West winfield vs Norfolk
- In Norfolk, the percentage of Black residents is higher at 1% compared to 0% in West winfield.
- The percentage of White residents is higher in Norfolk at 75% compared to 68% in West winfield.
- In Norfolk, the Asian population stands at 1%, greater than 0% in West winfield.
- The Hispanic community is larger in West winfield at 15% compared to 14% in Norfolk.
- More residents identify as two or more races in West winfield at 17% compared to 8% in Norfolk.
- In Norfolk, the percentage of American Indian residents is higher at 1%, compared to 0% in West winfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | West winfield | Norfolk |
---|---|---|
Mental Health Not Good | 17.2% | 14.3% |
Physical Health Not Good | 11.4% | 10.1% |
Depression | 25.1% | 18.5% |
Smoking | 20.9% | 16.9% |
Binge Drinking | 20.6% | 21.4% |
Obesity | 33.5% | 37.1% |
Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: West winfield vs Norfolk
- More residents in West winfield report poor mental health at 17.2% compared to 14.3% in Norfolk.
- Depression is more prevalent in West winfield at 25.1% compared to 18.5% in Norfolk.
- Smoking is more prevalent in West winfield at 20.9% compared to 16.9% in Norfolk.
- More residents engage in binge drinking in Norfolk at 21.4% compared to 20.6% in West winfield.
- Norfolk has higher obesity rates at 37.1% compared to 33.5% in West winfield.
- Disability percentages are higher in West winfield at 14.0% compared to 11.0% in Norfolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | West winfield | Norfolk |
---|---|---|
No Schooling | 1.1% (8) | 1.3% (340) |
High School Diploma | 27.7% (205) | 18.2% (4,708) |
Less than High School | 13.2% (98) | 8.1% (2,107) |
Bachelor's Degree and Higher | 17.1% (127) | 16.6% (4,308) |
Education Levels Comparison: West winfield vs Norfolk
- In Norfolk, a larger percentage of residents lack formal schooling at 1.3% compared to 1.1% in West winfield.
- A higher percentage of residents in West winfield hold a high school diploma at 27.7% compared to 18.2% in Norfolk.
- More residents in West winfield have less than a high school education at 13.2% compared to 8.1% in Norfolk.
- A higher percentage of residents in West winfield hold a bachelor's degree or higher at 17.1% compared to 16.6% in Norfolk.
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.