Demographics details for Norman, OK vs Wappingers falls, NY
Population Overview
Compare main population characteristics in Norman, OK vs Wappingers falls, NY.
Data | Norman | Wappingers falls |
---|---|---|
Population | 129,627 | 6,064 |
Median Age | 31.0 years | 47.9 years |
Median Income | $62,849 | $61,554 |
Married Families | 35.0% | 32.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Norman vs Wappingers falls
- In Norman, the population is higher at 129,627, compared to 6,064 in Wappingers falls.
- The median age in Wappingers falls is higher at 47.9 years, compared to 31.0 years in Norman.
- Norman has a higher median income of $62,849 compared to $61,554 in Wappingers falls.
- A higher percentage of married families is found in Norman at 35.0% compared to 32.0% in Wappingers falls.
- Norman has a higher poverty level at 12% compared to 5% in Wappingers falls.
- The unemployment rate is the same in both Norman and Wappingers falls at 3.5%.
Demographics
Demographics Norman vs Wappingers falls provide insight into the diversity of the communities to compare.
Demographic | Norman | Wappingers falls |
---|---|---|
Black | 5 | 13 |
White | 67 | 61 |
Asian | 5 | 3 |
Hispanic | 8 | 20 |
Two or More Races | 11 | 3 |
American Indian | 4 | Data is updating |
Demographics Comparison: Norman vs Wappingers falls
- In Wappingers falls, the percentage of Black residents is higher at 13% compared to 5% in Norman.
- Norman has a higher percentage of White residents at 67% compared to 61% in Wappingers falls.
- The Asian population is larger in Norman at 5% compared to 3% in Wappingers falls.
- Wappingers falls has a higher percentage of Hispanic residents at 20%, compared to 8% in Norman.
- More residents identify as two or more races in Norman at 11% compared to 3% in Wappingers falls.
- A greater percentage of American Indian residents live in Norman at 4% compared to 0% in Wappingers falls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Norman | Wappingers falls |
---|---|---|
Mental Health Not Good | 17.0% | 16.5% |
Physical Health Not Good | 11.2% | 11.9% |
Depression | 25.6% | 22.8% |
Smoking | 16.7% | 20.1% |
Binge Drinking | 15.5% | 16.4% |
Obesity | 34.9% | 34.7% |
Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Norman vs Wappingers falls
- More residents in Norman report poor mental health at 17.0% compared to 16.5% in Wappingers falls.
- Depression is more prevalent in Norman at 25.6% compared to 22.8% in Wappingers falls.
- Wappingers falls has a higher smoking rate at 20.1% compared to 16.7% in Norman.
- More residents engage in binge drinking in Wappingers falls at 16.4% compared to 15.5% in Norman.
- Obesity rates are higher in Norman at 34.9% compared to 34.7% in Wappingers falls.
- There is a higher percentage of disabled individuals in Wappingers falls at 16.0% compared to 13.0% in Norman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Norman | Wappingers falls |
---|---|---|
No Schooling | 0.3% (396) | 0.9% (57) |
High School Diploma | 9.4% (12,171) | 18.1% (1,099) |
Less than High School | 6.3% (8,174) | 24.9% (1,511) |
Bachelor's Degree and Higher | 26.3% (34,072) | 14.2% (861) |
Education Levels Comparison: Norman vs Wappingers falls
- In Wappingers falls, a larger percentage of residents lack formal schooling at 0.9% compared to 0.3% in Norman.
- In Wappingers falls, the rate of residents with high school diplomas is higher at 18.1% compared to 9.4% in Norman.
- The percentage of residents with less than a high school education is higher in Wappingers falls at 24.9%, compared to 6.3% in Norman.
- A higher percentage of residents in Norman hold a bachelor's degree or higher at 26.3% compared to 14.2% in Wappingers 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.