Demographics details for Villa ridge, MO vs Redding, CA

Population Overview

Compare main population characteristics in Villa ridge, MO vs Redding, CA.

Data Villa ridge Redding
Population 2,971 92,906
Median Age 35.0 years 38.8 years
Median Income $71,750 $67,323
Married Families 37.0% 36.0%
Poverty Level 8% 13%
Unemployment Rate 2.5 5.0

Population Comparison: Villa ridge vs Redding

  • The population in Redding is higher at 92,906, compared to 2,971 in Villa ridge.
  • The median age in Redding is higher at 38.8 years, compared to 35.0 years in Villa ridge.
  • Villa ridge has a higher median income of $71,750 compared to $67,323 in Redding.
  • A higher percentage of married families is found in Villa ridge at 37.0% compared to 36.0% in Redding.
  • The poverty level is higher in Redding at 13%, compared to 8% in Villa ridge.
  • Redding has a higher unemployment rate at 5.0% compared to 2.5% in Villa ridge.

Demographics

Demographics Villa ridge vs Redding provide insight into the diversity of the communities to compare.

Demographic Villa ridge Redding
Black 1 1
White 92 71
Asian Data is updating 4
Hispanic 4 12
Two or More Races 3 10
American Indian Data is updating 2

Demographics Comparison: Villa ridge vs Redding

  • The percentage of Black residents is the same in both Villa ridge and Redding at 1%.
  • Villa ridge has a higher percentage of White residents at 92% compared to 71% in Redding.
  • In Redding, the Asian population stands at 4%, greater than 0% in Villa ridge.
  • Redding has a higher percentage of Hispanic residents at 12%, compared to 4% in Villa ridge.
  • The percentage of residents identifying as two or more races is higher in Redding at 10%, compared to 3% in Villa ridge.
  • In Redding, the percentage of American Indian residents is higher at 2%, compared to 0% in Villa ridge.

Health Statistics

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

Health Metric Villa ridge Redding
Mental Health Not Good 16.3% 18.2%
Physical Health Not Good 10.5% 11.9%
Depression 24.2% 22.1%
Smoking 17.2% 15.0%
Binge Drinking 19.7% 17.6%
Obesity 36.2% 30.9%
Disability Percentage 13.0% 17.0%

Health Statistics Comparison: Villa ridge vs Redding

  • In Redding, a higher percentage report poor mental health at 18.2% compared to 16.3% in Villa ridge.
  • Depression is more prevalent in Villa ridge at 24.2% compared to 22.1% in Redding.
  • Smoking is more prevalent in Villa ridge at 17.2% compared to 15.0% in Redding.
  • Binge drinking is more common in Villa ridge at 19.7% compared to 17.6% in Redding.
  • Obesity rates are higher in Villa ridge at 36.2% compared to 30.9% in Redding.
  • There is a higher percentage of disabled individuals in Redding at 17.0% compared to 13.0% in Villa ridge.

Education Levels

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

Education Level Villa ridge Redding
No Schooling 0.0% (Data is updating) 0.6% (581)
High School Diploma 18.6% (554) 14.2% (13,235)
Less than High School 8.8% (261) 9.2% (8,540)
Bachelor's Degree and Higher 10.6% (316) 18.3% (16,986)

Education Levels Comparison: Villa ridge vs Redding

  • In Redding, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Villa ridge.
  • A higher percentage of residents in Villa ridge hold a high school diploma at 18.6% compared to 14.2% in Redding.
  • The percentage of residents with less than a high school education is higher in Redding at 9.2%, compared to 8.8% in Villa ridge.
  • In Redding, a larger share of residents have a bachelor's degree or higher at 18.3% compared to 10.6% in Villa ridge.

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.