Demographics details for Falling waters, WV vs Culver city, CA

Population Overview

Compare main population characteristics in Falling waters, WV vs Culver city, CA.

Data Falling waters Culver city
Population 2,150 39,515
Median Age 32.2 years 41.5 years
Median Income $84,038 $114,429
Married Families 29.0% 43.0%
Poverty Level 9% 9%
Unemployment Rate 3.5 5.8

Population Comparison: Falling waters vs Culver city

  • The population in Culver city is higher at 39,515, compared to 2,150 in Falling waters.
  • The median age in Culver city is higher at 41.5 years, compared to 32.2 years in Falling waters.
  • Culver city has a higher median income of $114,429, compared to $84,038 in Falling waters.
  • In Culver city, the percentage of married families is higher at 43.0%, compared to 29.0% in Falling waters.
  • The poverty level is identical in both Falling waters and Culver city at 9%.
  • Culver city has a higher unemployment rate at 5.8% compared to 3.5% in Falling waters.

Demographics

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

Demographic Falling waters Culver city
Black 6 8
White 92 38
Asian Data is updating 18
Hispanic Data is updating 21
Two or More Races 2 15
American Indian Data is updating Data is updating

Demographics Comparison: Falling waters vs Culver city

  • In Culver city, the percentage of Black residents is higher at 8% compared to 6% in Falling waters.
  • Falling waters has a higher percentage of White residents at 92% compared to 38% in Culver city.
  • In Culver city, the Asian population stands at 18%, greater than 0% in Falling waters.
  • Culver city has a higher percentage of Hispanic residents at 21%, compared to 0% in Falling waters.
  • The percentage of residents identifying as two or more races is higher in Culver city at 15%, compared to 2% in Falling waters.
  • The percentage of American Indian residents is the same in both Falling waters and Culver city at 0%.

Health Statistics

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

Health Metric Falling waters Culver city
Mental Health Not Good 18.5% 13.1%
Physical Health Not Good 11.9% 8.1%
Depression 25.7% 15.2%
Smoking 18.7% 7.5%
Binge Drinking 15.2% 16.5%
Obesity 37.6% 24.1%
Disability Percentage 24.0% 9.0%

Health Statistics Comparison: Falling waters vs Culver city

  • More residents in Falling waters report poor mental health at 18.5% compared to 13.1% in Culver city.
  • Depression is more prevalent in Falling waters at 25.7% compared to 15.2% in Culver city.
  • Smoking is more prevalent in Falling waters at 18.7% compared to 7.5% in Culver city.
  • More residents engage in binge drinking in Culver city at 16.5% compared to 15.2% in Falling waters.
  • Obesity rates are higher in Falling waters at 37.6% compared to 24.1% in Culver city.
  • Disability percentages are higher in Falling waters at 24.0% compared to 9.0% in Culver city.

Education Levels

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

Education Level Falling waters Culver city
No Schooling 0.0% (Data is updating) 1.3% (501)
High School Diploma 22.4% (482) 7.6% (3,000)
Less than High School 4.7% (102) 9.1% (3,605)
Bachelor's Degree and Higher 11.0% (237) 49.0% (19,344)

Education Levels Comparison: Falling waters vs Culver city

  • In Culver city, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Falling waters.
  • A higher percentage of residents in Falling waters hold a high school diploma at 22.4% compared to 7.6% in Culver city.
  • The percentage of residents with less than a high school education is higher in Culver city at 9.1%, compared to 4.7% in Falling waters.
  • In Culver city, a larger share of residents have a bachelor's degree or higher at 49.0% 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.