Demographics details for Fall river, MA vs Berkshire, NY

Population Overview

Compare main population characteristics in Fall river, MA vs Berkshire, NY.

Data Fall river Berkshire
Population 93,682 1,412
Median Age 39.2 years 38.0 years
Median Income $52,734 $60,000
Married Families 32.0% 45.0%
Poverty Level 16% 10%
Unemployment Rate 5.6 5.0

Population Comparison: Fall river vs Berkshire

  • In Fall river, the population is higher at 93,682, compared to 1,412 in Berkshire.
  • Residents in Fall river have a higher median age of 39.2 years compared to 38.0 years in Berkshire.
  • Berkshire has a higher median income of $60,000, compared to $52,734 in Fall river.
  • In Berkshire, the percentage of married families is higher at 45.0%, compared to 32.0% in Fall river.
  • Fall river has a higher poverty level at 16% compared to 10% in Berkshire.
  • The unemployment rate in Fall river is higher at 5.6%, compared to 5.0% in Berkshire.

Demographics

Demographics Fall river vs Berkshire provide insight into the diversity of the communities to compare.

Demographic Fall river Berkshire
Black 6 Data is updating
White 68 95
Asian 3 Data is updating
Hispanic 12 2
Two or More Races 11 3
American Indian Data is updating Data is updating

Demographics Comparison: Fall river vs Berkshire

  • A higher percentage of Black residents are in Fall river at 6% compared to 0% in Berkshire.
  • The percentage of White residents is higher in Berkshire at 95% compared to 68% in Fall river.
  • The Asian population is larger in Fall river at 3% compared to 0% in Berkshire.
  • The Hispanic community is larger in Fall river at 12% compared to 2% in Berkshire.
  • More residents identify as two or more races in Fall river at 11% compared to 3% in Berkshire.
  • The percentage of American Indian residents is the same in both Fall river and Berkshire at 0%.

Health Statistics

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

Health Metric Fall river Berkshire
Mental Health Not Good 19.7% Data is updating%
Physical Health Not Good 13.3% Data is updating%
Depression 25.0% Data is updating%
Smoking 23.0% Data is updating%
Binge Drinking 16.7% Data is updating%
Obesity 32.8% Data is updating%
Disability Percentage 20.0% Data is updating%

Health Statistics Comparison: Fall river vs Berkshire

  • More residents in Fall river report poor mental health at 19.7% compared to 0.0% in Berkshire.
  • Depression is more prevalent in Fall river at 25.0% compared to 0.0% in Berkshire.
  • Smoking is more prevalent in Fall river at 23.0% compared to 0.0% in Berkshire.
  • Binge drinking is more common in Fall river at 16.7% compared to 0.0% in Berkshire.
  • Obesity rates are higher in Fall river at 32.8% compared to 0.0% in Berkshire.
  • Disability percentages are higher in Fall river at 20.0% 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 Fall river Berkshire
No Schooling 2.5% (2,365) 0.0% (Data is updating)
High School Diploma 19.4% (18,187) 0.0% (Data is updating)
Less than High School 32.4% (30,324) 0.0% (Data is updating)
Bachelor's Degree and Higher 11.3% (10,601) 0.0% (Data is updating)

Education Levels Comparison: Fall river vs Berkshire

  • A higher percentage of residents in Fall river have no formal schooling at 2.5% compared to 0.0% in Berkshire.
  • A higher percentage of residents in Fall river hold a high school diploma at 19.4% compared to 0.0% in Berkshire.
  • More residents in Fall river have less than a high school education at 32.4% compared to 0.0% in Berkshire.
  • A higher percentage of residents in Fall river hold a bachelor's degree or higher at 11.3% 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.