Demographics details for West sayville, NY vs Lancaster, CA

Population Overview

Compare main population characteristics in West sayville, NY vs Lancaster, CA.

Data West sayville Lancaster
Population 5,032 169,185
Median Age 46.4 years 33.6 years
Median Income $157,275 $71,367
Married Families 51.0% 32.0%
Poverty Level Data is updating 15%
Unemployment Rate 3.2 8.2

Population Comparison: West sayville vs Lancaster

  • The population in Lancaster is higher at 169,185, compared to 5,032 in West sayville.
  • Residents in West sayville have a higher median age of 46.4 years compared to 33.6 years in Lancaster.
  • West sayville has a higher median income of $157,275 compared to $71,367 in Lancaster.
  • A higher percentage of married families is found in West sayville at 51.0% compared to 32.0% in Lancaster.
  • The poverty level is higher in Lancaster at 15%, compared to 0% in West sayville.
  • Lancaster has a higher unemployment rate at 8.2% compared to 3.2% in West sayville.

Demographics

Demographics West sayville vs Lancaster provide insight into the diversity of the communities to compare.

Demographic West sayville Lancaster
Black 1 21
White 95 10
Asian 2 4
Hispanic 1 46
Two or More Races 1 18
American Indian Data is updating 1

Demographics Comparison: West sayville vs Lancaster

  • In Lancaster, the percentage of Black residents is higher at 21% compared to 1% in West sayville.
  • West sayville has a higher percentage of White residents at 95% compared to 10% in Lancaster.
  • In Lancaster, the Asian population stands at 4%, greater than 2% in West sayville.
  • Lancaster has a higher percentage of Hispanic residents at 46%, compared to 1% in West sayville.
  • The percentage of residents identifying as two or more races is higher in Lancaster at 18%, compared to 1% in West sayville.
  • In Lancaster, the percentage of American Indian residents is higher at 1%, compared to 0% in West sayville.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric West sayville Lancaster
Mental Health Not Good 14.7% 17.8%
Physical Health Not Good 8.6% 13.5%
Depression 21.0% 17.7%
Smoking 13.3% 14.8%
Binge Drinking 17.3% 15.1%
Obesity 28.8% 32.9%
Disability Percentage 8.0% 10.0%

Health Statistics Comparison: West sayville vs Lancaster

  • In Lancaster, a higher percentage report poor mental health at 17.8% compared to 14.7% in West sayville.
  • Depression is more prevalent in West sayville at 21.0% compared to 17.7% in Lancaster.
  • Lancaster has a higher smoking rate at 14.8% compared to 13.3% in West sayville.
  • Binge drinking is more common in West sayville at 17.3% compared to 15.1% in Lancaster.
  • Lancaster has higher obesity rates at 32.9% compared to 28.8% in West sayville.
  • There is a higher percentage of disabled individuals in Lancaster at 10.0% compared to 8.0% in West sayville.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level West sayville Lancaster
No Schooling 0.7% (34) 2.0% (3,403)
High School Diploma 14.8% (745) 17.5% (29,555)
Less than High School 4.2% (210) 21.5% (36,421)
Bachelor's Degree and Higher 29.8% (1,501) 12.3% (20,861)

Education Levels Comparison: West sayville vs Lancaster

  • In Lancaster, a larger percentage of residents lack formal schooling at 2.0% compared to 0.7% in West sayville.
  • In Lancaster, the rate of residents with high school diplomas is higher at 17.5% compared to 14.8% in West sayville.
  • The percentage of residents with less than a high school education is higher in Lancaster at 21.5%, compared to 4.2% in West sayville.
  • A higher percentage of residents in West sayville hold a bachelor's degree or higher at 29.8% compared to 12.3% 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.