Demographics details for Ashfield, MA vs Ewa beach, HI

Population Overview

Compare main population characteristics in Ashfield, MA vs Ewa beach, HI.

Data Ashfield Ewa beach
Population 1,734 15,167
Median Age 45.0 years 40.1 years
Median Income $76,000 $114,207
Married Families 70.0% 39.0%
Poverty Level 8% 8%
Unemployment Rate 3.0 2.5

Population Comparison: Ashfield vs Ewa beach

  • The population in Ewa beach is higher at 15,167, compared to 1,734 in Ashfield.
  • Residents in Ashfield have a higher median age of 45.0 years compared to 40.1 years in Ewa beach.
  • Ewa beach has a higher median income of $114,207, compared to $76,000 in Ashfield.
  • A higher percentage of married families is found in Ashfield at 70.0% compared to 39.0% in Ewa beach.
  • The poverty level is identical in both Ashfield and Ewa beach at 8%.
  • The unemployment rate in Ashfield is higher at 3.0%, compared to 2.5% in Ewa beach.

Demographics

Demographics Ashfield vs Ewa beach provide insight into the diversity of the communities to compare.

Demographic Ashfield Ewa beach
Black Data is updating Data is updating
White 97.5 7
Asian Data is updating 54
Hispanic 1.5 11
Two or More Races 1 28
American Indian Data is updating Data is updating

Demographics Comparison: Ashfield vs Ewa beach

  • The percentage of Black residents is the same in both Ashfield and Ewa beach at 0%.
  • Ashfield has a higher percentage of White residents at 97.5% compared to 7% in Ewa beach.
  • In Ewa beach, the Asian population stands at 54%, greater than 0% in Ashfield.
  • Ewa beach has a higher percentage of Hispanic residents at 11%, compared to 1.5% in Ashfield.
  • The percentage of residents identifying as two or more races is higher in Ewa beach at 28%, compared to 1% in Ashfield.
  • The percentage of American Indian residents is the same in both Ashfield and Ewa beach at 0%.

Health Statistics

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

Health Metric Ashfield Ewa beach
Mental Health Not Good Data is updating% 13.5%
Physical Health Not Good Data is updating% 8.7%
Depression Data is updating% 11.9%
Smoking Data is updating% 13.0%
Binge Drinking Data is updating% 16.8%
Obesity Data is updating% 25.0%
Disability Percentage Data is updating% 10.0%

Health Statistics Comparison: Ashfield vs Ewa beach

  • In Ewa beach, a higher percentage report poor mental health at 13.5% compared to 0.0% in Ashfield.
  • Higher depression rates are seen in Ewa beach at 11.9% versus 0.0% in Ashfield.
  • Ewa beach has a higher smoking rate at 13.0% compared to 0.0% in Ashfield.
  • More residents engage in binge drinking in Ewa beach at 16.8% compared to 0.0% in Ashfield.
  • Ewa beach has higher obesity rates at 25.0% compared to 0.0% in Ashfield.
  • There is a higher percentage of disabled individuals in Ewa beach at 10.0% compared to 0.0% in Ashfield.

Education Levels

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

Education Level Ashfield Ewa beach
No Schooling 0.0% (Data is updating) 2.2% (336)
High School Diploma 0.0% (Data is updating) 23.9% (3,619)
Less than High School 0.0% (Data is updating) 9.3% (1,409)
Bachelor's Degree and Higher 0.0% (Data is updating) 14.8% (2,251)

Education Levels Comparison: Ashfield vs Ewa beach

  • In Ewa beach, a larger percentage of residents lack formal schooling at 2.2% compared to 0.0% in Ashfield.
  • In Ewa beach, the rate of residents with high school diplomas is higher at 23.9% compared to 0.0% in Ashfield.
  • The percentage of residents with less than a high school education is higher in Ewa beach at 9.3%, compared to 0.0% in Ashfield.
  • In Ewa beach, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 0.0% in Ashfield.

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.