Demographics details for South royalton, VT vs Chino, CA

Population Overview

Compare main population characteristics in South royalton, VT vs Chino, CA.

Data South royalton Chino
Population 475 93,140
Median Age 49.2 years 36.9 years
Median Income $44,423 $99,385
Married Families 19.0% 40.0%
Poverty Level 17% 12%
Unemployment Rate 2.5 4.6

Population Comparison: South royalton vs Chino

  • The population in Chino is higher at 93,140, compared to 475 in South royalton.
  • Residents in South royalton have a higher median age of 49.2 years compared to 36.9 years in Chino.
  • Chino has a higher median income of $99,385, compared to $44,423 in South royalton.
  • In Chino, the percentage of married families is higher at 40.0%, compared to 19.0% in South royalton.
  • South royalton has a higher poverty level at 17% compared to 12% in Chino.
  • Chino has a higher unemployment rate at 4.6% compared to 2.5% in South royalton.

Demographics

Demographics South royalton vs Chino provide insight into the diversity of the communities to compare.

Demographic South royalton Chino
Black 6 7
White 85 4
Asian Data is updating 18
Hispanic 4 53
Two or More Races 5 17
American Indian Data is updating 1

Demographics Comparison: South royalton vs Chino

  • In Chino, the percentage of Black residents is higher at 7% compared to 6% in South royalton.
  • South royalton has a higher percentage of White residents at 85% compared to 4% in Chino.
  • In Chino, the Asian population stands at 18%, greater than 0% in South royalton.
  • Chino has a higher percentage of Hispanic residents at 53%, compared to 4% in South royalton.
  • The percentage of residents identifying as two or more races is higher in Chino at 17%, compared to 5% in South royalton.
  • In Chino, the percentage of American Indian residents is higher at 1%, compared to 0% in South royalton.

Health Statistics

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

Health Metric South royalton Chino
Mental Health Not Good 17.3% 15.2%
Physical Health Not Good 10.2% 11.1%
Depression 30.9% 16.7%
Smoking 16.4% 11.3%
Binge Drinking 15.4% 16.0%
Obesity 31.7% 35.6%
Disability Percentage 13.0% 7.0%

Health Statistics Comparison: South royalton vs Chino

  • More residents in South royalton report poor mental health at 17.3% compared to 15.2% in Chino.
  • Depression is more prevalent in South royalton at 30.9% compared to 16.7% in Chino.
  • Smoking is more prevalent in South royalton at 16.4% compared to 11.3% in Chino.
  • More residents engage in binge drinking in Chino at 16.0% compared to 15.4% in South royalton.
  • Chino has higher obesity rates at 35.6% compared to 31.7% in South royalton.
  • Disability percentages are higher in South royalton at 13.0% compared to 7.0% in Chino.

Education Levels

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

Education Level South royalton Chino
No Schooling 0.0% (Data is updating) 1.6% (1,483)
High School Diploma 17.9% (85) 13.2% (12,268)
Less than High School 0.0% (Data is updating) 20.1% (18,697)
Bachelor's Degree and Higher 28.6% (136) 18.9% (17,626)

Education Levels Comparison: South royalton vs Chino

  • In Chino, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in South royalton.
  • A higher percentage of residents in South royalton hold a high school diploma at 17.9% compared to 13.2% in Chino.
  • The percentage of residents with less than a high school education is higher in Chino at 20.1%, compared to 0.0% in South royalton.
  • A higher percentage of residents in South royalton hold a bachelor's degree or higher at 28.6% compared to 18.9% in Chino.

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.