Demographics details for Berkshire, NY vs Long beach, WA

Population Overview

Compare main population characteristics in Berkshire, NY vs Long beach, WA.

Data Berkshire Long beach
Population 1,412 1,754
Median Age 38.0 years 51.3 years
Median Income $60,000 $47,188
Married Families 45.0% 41.0%
Poverty Level 10% 10%
Unemployment Rate 5.0 5.5

Population Comparison: Berkshire vs Long beach

  • The population in Long beach is higher at 1,754, compared to 1,412 in Berkshire.
  • The median age in Long beach is higher at 51.3 years, compared to 38.0 years in Berkshire.
  • Berkshire has a higher median income of $60,000 compared to $47,188 in Long beach.
  • A higher percentage of married families is found in Berkshire at 45.0% compared to 41.0% in Long beach.
  • The poverty level is identical in both Berkshire and Long beach at 10%.
  • Long beach has a higher unemployment rate at 5.5% compared to 5.0% in Berkshire.

Demographics

Demographics Berkshire vs Long beach provide insight into the diversity of the communities to compare.

Demographic Berkshire Long beach
Black Data is updating Data is updating
White 95 86
Asian Data is updating 1
Hispanic 2 7
Two or More Races 3 5
American Indian Data is updating 1

Demographics Comparison: Berkshire vs Long beach

  • The percentage of Black residents is the same in both Berkshire and Long beach at 0%.
  • Berkshire has a higher percentage of White residents at 95% compared to 86% in Long beach.
  • In Long beach, the Asian population stands at 1%, greater than 0% in Berkshire.
  • Long beach has a higher percentage of Hispanic residents at 7%, compared to 2% in Berkshire.
  • The percentage of residents identifying as two or more races is higher in Long beach at 5%, compared to 3% in Berkshire.
  • In Long beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Berkshire.

Health Statistics

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

Health Metric Berkshire Long beach
Mental Health Not Good Data is updating% 20.3%
Physical Health Not Good Data is updating% 14.8%
Depression Data is updating% 28.9%
Smoking Data is updating% 20.1%
Binge Drinking Data is updating% 16.2%
Obesity Data is updating% 38.5%
Disability Percentage Data is updating% 28.0%

Health Statistics Comparison: Berkshire vs Long beach

  • In Long beach, a higher percentage report poor mental health at 20.3% compared to 0.0% in Berkshire.
  • Higher depression rates are seen in Long beach at 28.9% versus 0.0% in Berkshire.
  • Long beach has a higher smoking rate at 20.1% compared to 0.0% in Berkshire.
  • More residents engage in binge drinking in Long beach at 16.2% compared to 0.0% in Berkshire.
  • Long beach has higher obesity rates at 38.5% compared to 0.0% in Berkshire.
  • There is a higher percentage of disabled individuals in Long beach at 28.0% compared to 0.0% in Berkshire.

Education Levels

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

Education Level Berkshire Long beach
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 0.0% (Data is updating) 19.6% (343)
Less than High School 0.0% (Data is updating) 13.6% (238)
Bachelor's Degree and Higher 0.0% (Data is updating) 14.3% (250)

Education Levels Comparison: Berkshire vs Long beach

  • The percentage of residents with no formal schooling is the same in both Berkshire and Long beach at 0.0%.
  • In Long beach, the rate of residents with high school diplomas is higher at 19.6% compared to 0.0% in Berkshire.
  • The percentage of residents with less than a high school education is higher in Long beach at 13.6%, compared to 0.0% in Berkshire.
  • In Long beach, a larger share of residents have a bachelor's degree or higher at 14.3% compared to 0.0% in Berkshire.

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.