Demographics details for Falling waters, WV vs Hanapepe, HI

Population Overview

Compare main population characteristics in Falling waters, WV vs Hanapepe, HI.

Data Falling waters Hanapepe
Population 2,150 2,242
Median Age 32.2 years 43.1 years
Median Income $84,038 $88,385
Married Families 29.0% 43.0%
Poverty Level 9% 8%
Unemployment Rate 3.5 2.4

Population Comparison: Falling waters vs Hanapepe

  • The population in Hanapepe is higher at 2,242, compared to 2,150 in Falling waters.
  • The median age in Hanapepe is higher at 43.1 years, compared to 32.2 years in Falling waters.
  • Hanapepe has a higher median income of $88,385, compared to $84,038 in Falling waters.
  • In Hanapepe, the percentage of married families is higher at 43.0%, compared to 29.0% in Falling waters.
  • Falling waters has a higher poverty level at 9% compared to 8% in Hanapepe.
  • The unemployment rate in Falling waters is higher at 3.5%, compared to 2.4% in Hanapepe.

Demographics

Demographics Falling waters vs Hanapepe provide insight into the diversity of the communities to compare.

Demographic Falling waters Hanapepe
Black 6 Data is updating
White 92 28
Asian Data is updating 49
Hispanic Data is updating 4
Two or More Races 2 19
American Indian Data is updating Data is updating

Demographics Comparison: Falling waters vs Hanapepe

  • A higher percentage of Black residents are in Falling waters at 6% compared to 0% in Hanapepe.
  • Falling waters has a higher percentage of White residents at 92% compared to 28% in Hanapepe.
  • In Hanapepe, the Asian population stands at 49%, greater than 0% in Falling waters.
  • Hanapepe has a higher percentage of Hispanic residents at 4%, compared to 0% in Falling waters.
  • The percentage of residents identifying as two or more races is higher in Hanapepe at 19%, compared to 2% in Falling waters.
  • The percentage of American Indian residents is the same in both Falling waters and Hanapepe at 0%.

Health Statistics

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

Health Metric Falling waters Hanapepe
Mental Health Not Good 18.5% 14.9%
Physical Health Not Good 11.9% 9.9%
Depression 25.7% 13.8%
Smoking 18.7% 15.8%
Binge Drinking 15.2% 17.2%
Obesity 37.6% 23.2%
Disability Percentage 24.0% 13.0%

Health Statistics Comparison: Falling waters vs Hanapepe

  • More residents in Falling waters report poor mental health at 18.5% compared to 14.9% in Hanapepe.
  • Depression is more prevalent in Falling waters at 25.7% compared to 13.8% in Hanapepe.
  • Smoking is more prevalent in Falling waters at 18.7% compared to 15.8% in Hanapepe.
  • More residents engage in binge drinking in Hanapepe at 17.2% compared to 15.2% in Falling waters.
  • Obesity rates are higher in Falling waters at 37.6% compared to 23.2% in Hanapepe.
  • Disability percentages are higher in Falling waters at 24.0% compared to 13.0% in Hanapepe.

Education Levels

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

Education Level Falling waters Hanapepe
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 22.4% (482) 42.2% (946)
Less than High School 4.7% (102) 7.8% (174)
Bachelor's Degree and Higher 11.0% (237) 12.8% (286)

Education Levels Comparison: Falling waters vs Hanapepe

  • The percentage of residents with no formal schooling is the same in both Falling waters and Hanapepe at 0.0%.
  • In Hanapepe, the rate of residents with high school diplomas is higher at 42.2% compared to 22.4% in Falling waters.
  • The percentage of residents with less than a high school education is higher in Hanapepe at 7.8%, compared to 4.7% in Falling waters.
  • In Hanapepe, a larger share of residents have a bachelor's degree or higher at 12.8% compared to 11.0% in Falling waters.

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.