Demographics details for White plains, NY vs Lancaster, VA
Population Overview
Compare main population characteristics in White plains, NY vs Lancaster, VA.
Data | White plains | Lancaster |
---|---|---|
Population | 59,316 | 10,750 |
Median Age | 41.4 years | 59.2 years |
Median Income | $109,551 | $62,674 |
Married Families | 40.0% | 46.0% |
Poverty Level | 6% | 10% |
Unemployment Rate | 3.2 | 3.1 |
Population Comparison: White plains vs Lancaster
- In White plains, the population is higher at 59,316, compared to 10,750 in Lancaster.
- The median age in Lancaster is higher at 59.2 years, compared to 41.4 years in White plains.
- White plains has a higher median income of $109,551 compared to $62,674 in Lancaster.
- In Lancaster, the percentage of married families is higher at 46.0%, compared to 40.0% in White plains.
- The poverty level is higher in Lancaster at 10%, compared to 6% in White plains.
- The unemployment rate in White plains is higher at 3.2%, compared to 3.1% in Lancaster.
Demographics
Demographics White plains vs Lancaster provide insight into the diversity of the communities to compare.
Demographic | White plains | Lancaster |
---|---|---|
Black | 13 | 28 |
White | 39 | 66 |
Asian | 8 | 1 |
Hispanic | 31 | 2 |
Two or More Races | 9 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: White plains vs Lancaster
- In Lancaster, the percentage of Black residents is higher at 28% compared to 13% in White plains.
- The percentage of White residents is higher in Lancaster at 66% compared to 39% in White plains.
- The Asian population is larger in White plains at 8% compared to 1% in Lancaster.
- The Hispanic community is larger in White plains at 31% compared to 2% in Lancaster.
- More residents identify as two or more races in White plains at 9% compared to 3% in Lancaster.
- The percentage of American Indian residents is the same in both White plains and Lancaster at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | White plains | Lancaster |
---|---|---|
Mental Health Not Good | 13.1% | 16.4% |
Physical Health Not Good | 9.1% | 10.6% |
Depression | 17.7% | 22.2% |
Smoking | 11.7% | 16.4% |
Binge Drinking | 15.9% | 16.3% |
Obesity | 28.4% | 37.3% |
Disability Percentage | 10.0% | 17.0% |
Health Statistics Comparison: White plains vs Lancaster
- In Lancaster, a higher percentage report poor mental health at 16.4% compared to 13.1% in White plains.
- Higher depression rates are seen in Lancaster at 22.2% versus 17.7% in White plains.
- Lancaster has a higher smoking rate at 16.4% compared to 11.7% in White plains.
- More residents engage in binge drinking in Lancaster at 16.3% compared to 15.9% in White plains.
- Lancaster has higher obesity rates at 37.3% compared to 28.4% in White plains.
- There is a higher percentage of disabled individuals in Lancaster at 17.0% 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 | Lancaster |
---|---|---|
No Schooling | 1.0% (566) | 1.5% (164) |
High School Diploma | 11.6% (6,853) | 20.9% (2,244) |
Less than High School | 14.7% (8,744) | 17.0% (1,823) |
Bachelor's Degree and Higher | 39.0% (23,145) | 26.3% (2,823) |
Education Levels Comparison: White plains vs Lancaster
- In Lancaster, a larger percentage of residents lack formal schooling at 1.5% compared to 1.0% in White plains.
- In Lancaster, the rate of residents with high school diplomas is higher at 20.9% compared to 11.6% in White plains.
- The percentage of residents with less than a high school education is higher in Lancaster at 17.0%, compared to 14.7% in White plains.
- A higher percentage of residents in White plains hold a bachelor's degree or higher at 39.0% compared to 26.3% in Lancaster.
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.