Demographics details for White plains, NY vs Webb city, MO
Population Overview
Compare main population characteristics in White plains, NY vs Webb city, MO.
Data | White plains | Webb city |
---|---|---|
Population | 59,316 | 13,165 |
Median Age | 41.4 years | 34.2 years |
Median Income | $109,551 | $58,964 |
Married Families | 40.0% | 36.0% |
Poverty Level | 6% | 12% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: White plains vs Webb city
- In White plains, the population is higher at 59,316, compared to 13,165 in Webb city.
- Residents in White plains have a higher median age of 41.4 years compared to 34.2 years in Webb city.
- White plains has a higher median income of $109,551 compared to $58,964 in Webb city.
- A higher percentage of married families is found in White plains at 40.0% compared to 36.0% in Webb city.
- The poverty level is higher in Webb city at 12%, compared to 6% in White plains.
- Webb city has a higher unemployment rate at 3.5% compared to 3.2% in White plains.
Demographics
Demographics White plains vs Webb city provide insight into the diversity of the communities to compare.
Demographic | White plains | Webb city |
---|---|---|
Black | 13 | 2 |
White | 39 | 87 |
Asian | 8 | 2 |
Hispanic | 31 | 2 |
Two or More Races | 9 | 6 |
American Indian | Data is updating | 1 |
Demographics Comparison: White plains vs Webb city
- A higher percentage of Black residents are in White plains at 13% compared to 2% in Webb city.
- The percentage of White residents is higher in Webb city at 87% compared to 39% in White plains.
- The Asian population is larger in White plains at 8% compared to 2% in Webb city.
- The Hispanic community is larger in White plains at 31% compared to 2% in Webb city.
- More residents identify as two or more races in White plains at 9% compared to 6% in Webb city.
- In Webb city, the percentage of American Indian residents is higher at 1%, compared to 0% in White plains.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | White plains | Webb city |
---|---|---|
Mental Health Not Good | 13.1% | 19.2% |
Physical Health Not Good | 9.1% | 13.6% |
Depression | 17.7% | 26.8% |
Smoking | 11.7% | 21.8% |
Binge Drinking | 15.9% | 16.2% |
Obesity | 28.4% | 40.0% |
Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: White plains vs Webb city
- In Webb city, a higher percentage report poor mental health at 19.2% compared to 13.1% in White plains.
- Higher depression rates are seen in Webb city at 26.8% versus 17.7% in White plains.
- Webb city has a higher smoking rate at 21.8% compared to 11.7% in White plains.
- More residents engage in binge drinking in Webb city at 16.2% compared to 15.9% in White plains.
- Webb city has higher obesity rates at 40.0% compared to 28.4% in White plains.
- There is a higher percentage of disabled individuals in Webb city at 16.0% compared to 10.0% in White plains.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | White plains | Webb city |
---|---|---|
No Schooling | 1.0% (566) | 0.4% (53) |
High School Diploma | 11.6% (6,853) | 19.4% (2,556) |
Less than High School | 14.7% (8,744) | 11.6% (1,529) |
Bachelor's Degree and Higher | 39.0% (23,145) | 17.5% (2,301) |
Education Levels Comparison: White plains vs Webb city
- A higher percentage of residents in White plains have no formal schooling at 1.0% compared to 0.4% in Webb city.
- In Webb city, the rate of residents with high school diplomas is higher at 19.4% compared to 11.6% in White plains.
- More residents in White plains have less than a high school education at 14.7% compared to 11.6% in Webb city.
- A higher percentage of residents in White plains hold a bachelor's degree or higher at 39.0% compared to 17.5% in Webb city.
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.