Demographics details for East haddam, CT vs Waialua, HI

Population Overview

Compare main population characteristics in East haddam, CT vs Waialua, HI.

Data East haddam Waialua
Population 8,988 3,053
Median Age 44.5 years 46.8 years
Median Income $85,135 $87,266
Married Families 65.0% 43.0%
Poverty Level 6% 6%
Unemployment Rate 2.2 2.5

Population Comparison: East haddam vs Waialua

  • In East haddam, the population is higher at 8,988, compared to 3,053 in Waialua.
  • The median age in Waialua is higher at 46.8 years, compared to 44.5 years in East haddam.
  • Waialua has a higher median income of $87,266, compared to $85,135 in East haddam.
  • A higher percentage of married families is found in East haddam at 65.0% compared to 43.0% in Waialua.
  • The poverty level is identical in both East haddam and Waialua at 6%.
  • Waialua has a higher unemployment rate at 2.5% compared to 2.2% in East haddam.

Demographics

Demographics East haddam vs Waialua provide insight into the diversity of the communities to compare.

Demographic East haddam Waialua
Black Data is updating Data is updating
White 95.7 25
Asian 1.2 31
Hispanic 2.3 13
Two or More Races 0.8 31
American Indian Data is updating Data is updating

Demographics Comparison: East haddam vs Waialua

  • The percentage of Black residents is the same in both East haddam and Waialua at 0%.
  • East haddam has a higher percentage of White residents at 95.7% compared to 25% in Waialua.
  • In Waialua, the Asian population stands at 31%, greater than 1.2% in East haddam.
  • Waialua has a higher percentage of Hispanic residents at 13%, compared to 2.3% in East haddam.
  • The percentage of residents identifying as two or more races is higher in Waialua at 31%, compared to 0.8% in East haddam.
  • The percentage of American Indian residents is the same in both East haddam and Waialua at 0.0%.

Health Statistics

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

Health Metric East haddam Waialua
Mental Health Not Good Data is updating% 13.5%
Physical Health Not Good Data is updating% 8.5%
Depression Data is updating% 12.8%
Smoking Data is updating% 12.1%
Binge Drinking Data is updating% 17.8%
Obesity Data is updating% 24.8%
Disability Percentage Data is updating% 14.0%

Health Statistics Comparison: East haddam vs Waialua

  • In Waialua, a higher percentage report poor mental health at 13.5% compared to 0.0% in East haddam.
  • Higher depression rates are seen in Waialua at 12.8% versus 0.0% in East haddam.
  • Waialua has a higher smoking rate at 12.1% compared to 0.0% in East haddam.
  • More residents engage in binge drinking in Waialua at 17.8% compared to 0.0% in East haddam.
  • Waialua has higher obesity rates at 24.8% compared to 0.0% in East haddam.
  • There is a higher percentage of disabled individuals in Waialua at 14.0% compared to 0.0% in East haddam.

Education Levels

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

Education Level East haddam Waialua
No Schooling 0.0% (Data is updating) 0.9% (27)
High School Diploma 0.0% (Data is updating) 20.2% (617)
Less than High School 0.0% (Data is updating) 5.7% (173)
Bachelor's Degree and Higher 0.0% (Data is updating) 21.9% (670)

Education Levels Comparison: East haddam vs Waialua

  • In Waialua, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in East haddam.
  • In Waialua, the rate of residents with high school diplomas is higher at 20.2% compared to 0.0% in East haddam.
  • The percentage of residents with less than a high school education is higher in Waialua at 5.7%, compared to 0.0% in East haddam.
  • In Waialua, a larger share of residents have a bachelor's degree or higher at 21.9% compared to 0.0% in East haddam.

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.