Demographics details for Waterproof, LA vs Chula vista, CA

Population Overview

Compare main population characteristics in Waterproof, LA vs Chula vista, CA.

Data Waterproof Chula vista
Population 499 279,170
Median Age 37.0 years 36.1 years
Median Income $21,953 $101,984
Married Families 9.0% 39.0%
Poverty Level 30% 12%
Unemployment Rate 5.0 4.8

Population Comparison: Waterproof vs Chula vista

  • The population in Chula vista is higher at 279,170, compared to 499 in Waterproof.
  • Residents in Waterproof have a higher median age of 37.0 years compared to 36.1 years in Chula vista.
  • Chula vista has a higher median income of $101,984, compared to $21,953 in Waterproof.
  • In Chula vista, the percentage of married families is higher at 39.0%, compared to 9.0% in Waterproof.
  • Waterproof has a higher poverty level at 30% compared to 12% in Chula vista.
  • The unemployment rate in Waterproof is higher at 5.0%, compared to 4.8% in Chula vista.

Demographics

Demographics Waterproof vs Chula vista provide insight into the diversity of the communities to compare.

Demographic Waterproof Chula vista
Black 103 5
White -12 -4
Asian 7 15
Hispanic Data is updating 60
Two or More Races 2 23
American Indian Data is updating 1

Demographics Comparison: Waterproof vs Chula vista

  • A higher percentage of Black residents are in Waterproof at 103% compared to 5% in Chula vista.
  • The percentage of White residents is higher in Chula vista at -4% compared to -12% in Waterproof.
  • In Chula vista, the Asian population stands at 15%, greater than 7% in Waterproof.
  • Chula vista has a higher percentage of Hispanic residents at 60%, compared to 0% in Waterproof.
  • The percentage of residents identifying as two or more races is higher in Chula vista at 23%, compared to 2% in Waterproof.
  • In Chula vista, the percentage of American Indian residents is higher at 1%, compared to 0% in Waterproof.

Health Statistics

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

Health Metric Waterproof Chula vista
Mental Health Not Good 24.5% 15.1%
Physical Health Not Good 20.0% 11.1%
Depression 25.1% 15.8%
Smoking 33.7% 10.5%
Binge Drinking 11.8% 17.4%
Obesity 53.1% 24.9%
Disability Percentage 22.0% 9.0%

Health Statistics Comparison: Waterproof vs Chula vista

  • More residents in Waterproof report poor mental health at 24.5% compared to 15.1% in Chula vista.
  • Depression is more prevalent in Waterproof at 25.1% compared to 15.8% in Chula vista.
  • Smoking is more prevalent in Waterproof at 33.7% compared to 10.5% in Chula vista.
  • More residents engage in binge drinking in Chula vista at 17.4% compared to 11.8% in Waterproof.
  • Obesity rates are higher in Waterproof at 53.1% compared to 24.9% in Chula vista.
  • Disability percentages are higher in Waterproof at 22.0% compared to 9.0% in Chula vista.

Education Levels

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

Education Level Waterproof Chula vista
No Schooling 0.0% (Data is updating) 1.7% (4,667)
High School Diploma 27.7% (138) 11.7% (32,545)
Less than High School 10.6% (53) 18.1% (50,584)
Bachelor's Degree and Higher 12.8% (64) 20.4% (56,958)

Education Levels Comparison: Waterproof vs Chula vista

  • In Chula vista, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Waterproof.
  • A higher percentage of residents in Waterproof hold a high school diploma at 27.7% compared to 11.7% in Chula vista.
  • The percentage of residents with less than a high school education is higher in Chula vista at 18.1%, compared to 10.6% in Waterproof.
  • In Chula vista, a larger share of residents have a bachelor's degree or higher at 20.4% compared to 12.8% in Waterproof.

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.