Demographics details for Waipahu, HI vs Crum lynne, PA

Population Overview

Compare main population characteristics in Waipahu, HI vs Crum lynne, PA.

Data Waipahu Crum lynne
Population 39,873 735
Median Age 39.6 years 38.0 years
Median Income $87,961 $60,000
Married Families 38.0% 50.0%
Poverty Level 10% 12%
Unemployment Rate 4.6 4.0

Population Comparison: Waipahu vs Crum lynne

  • In Waipahu, the population is higher at 39,873, compared to 735 in Crum lynne.
  • Residents in Waipahu have a higher median age of 39.6 years compared to 38.0 years in Crum lynne.
  • Waipahu has a higher median income of $87,961 compared to $60,000 in Crum lynne.
  • In Crum lynne, the percentage of married families is higher at 50.0%, compared to 38.0% in Waipahu.
  • The poverty level is higher in Crum lynne at 12%, compared to 10% in Waipahu.
  • The unemployment rate in Waipahu is higher at 4.6%, compared to 4.0% in Crum lynne.

Demographics

Demographics Waipahu vs Crum lynne provide insight into the diversity of the communities to compare.

Demographic Waipahu Crum lynne
Black 1 5
White 11 90
Asian 67 2
Hispanic 6 1
Two or More Races 15 2
American Indian Data is updating Data is updating

Demographics Comparison: Waipahu vs Crum lynne

  • In Crum lynne, the percentage of Black residents is higher at 5% compared to 1% in Waipahu.
  • The percentage of White residents is higher in Crum lynne at 90% compared to 11% in Waipahu.
  • The Asian population is larger in Waipahu at 67% compared to 2% in Crum lynne.
  • The Hispanic community is larger in Waipahu at 6% compared to 1% in Crum lynne.
  • More residents identify as two or more races in Waipahu at 15% compared to 2% in Crum lynne.
  • The percentage of American Indian residents is the same in both Waipahu and Crum lynne at 0%.

Health Statistics

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

Health Metric Waipahu Crum lynne
Mental Health Not Good 12.7% Data is updating%
Physical Health Not Good 8.3% Data is updating%
Depression 10.2% Data is updating%
Smoking 12.9% Data is updating%
Binge Drinking 14.8% Data is updating%
Obesity 22.4% Data is updating%
Disability Percentage 14.0% Data is updating%

Health Statistics Comparison: Waipahu vs Crum lynne

  • More residents in Waipahu report poor mental health at 12.7% compared to 0.0% in Crum lynne.
  • Depression is more prevalent in Waipahu at 10.2% compared to 0.0% in Crum lynne.
  • Smoking is more prevalent in Waipahu at 12.9% compared to 0.0% in Crum lynne.
  • Binge drinking is more common in Waipahu at 14.8% compared to 0.0% in Crum lynne.
  • Obesity rates are higher in Waipahu at 22.4% compared to 0.0% in Crum lynne.
  • Disability percentages are higher in Waipahu at 14.0% compared to 0.0% in Crum lynne.

Education Levels

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

Education Level Waipahu Crum lynne
No Schooling 1.8% (729) 0.0% (Data is updating)
High School Diploma 22.1% (8,831) 0.0% (Data is updating)
Less than High School 11.0% (4,392) 0.0% (Data is updating)
Bachelor's Degree and Higher 13.0% (5,195) 0.0% (Data is updating)

Education Levels Comparison: Waipahu vs Crum lynne

  • A higher percentage of residents in Waipahu have no formal schooling at 1.8% compared to 0.0% in Crum lynne.
  • A higher percentage of residents in Waipahu hold a high school diploma at 22.1% compared to 0.0% in Crum lynne.
  • More residents in Waipahu have less than a high school education at 11.0% compared to 0.0% in Crum lynne.
  • A higher percentage of residents in Waipahu hold a bachelor's degree or higher at 13.0% compared to 0.0% in Crum lynne.

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.