Demographics details for San clemente, CA vs Cottonwood, ID

Population Overview

Compare main population characteristics in San clemente, CA vs Cottonwood, ID.

Data San clemente Cottonwood
Population 63,457 876
Median Age 44.2 years 33.1 years
Median Income $134,730 $55,147
Married Families 49.0% 56.0%
Poverty Level 7% Data is updating
Unemployment Rate 3.8 2.5

Population Comparison: San clemente vs Cottonwood

  • In San clemente, the population is higher at 63,457, compared to 876 in Cottonwood.
  • Residents in San clemente have a higher median age of 44.2 years compared to 33.1 years in Cottonwood.
  • San clemente has a higher median income of $134,730 compared to $55,147 in Cottonwood.
  • In Cottonwood, the percentage of married families is higher at 56.0%, compared to 49.0% in San clemente.
  • San clemente has a higher poverty level at 7% compared to 0% in Cottonwood.
  • The unemployment rate in San clemente is higher at 3.8%, compared to 2.5% in Cottonwood.

Demographics

Demographics San clemente vs Cottonwood provide insight into the diversity of the communities to compare.

Demographic San clemente Cottonwood
Black 2 Data is updating
White 64 92
Asian 5 Data is updating
Hispanic 17 1
Two or More Races 12 6
American Indian Data is updating 1

Demographics Comparison: San clemente vs Cottonwood

  • A higher percentage of Black residents are in San clemente at 2% compared to 0% in Cottonwood.
  • The percentage of White residents is higher in Cottonwood at 92% compared to 64% in San clemente.
  • The Asian population is larger in San clemente at 5% compared to 0% in Cottonwood.
  • The Hispanic community is larger in San clemente at 17% compared to 1% in Cottonwood.
  • More residents identify as two or more races in San clemente at 12% compared to 6% in Cottonwood.
  • In Cottonwood, the percentage of American Indian residents is higher at 1%, compared to 0% in San clemente.

Health Statistics

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

Health Metric San clemente Cottonwood
Mental Health Not Good 14.2% 15.8%
Physical Health Not Good 8.6% 11.9%
Depression 18.9% 22.3%
Smoking 8.9% 17.8%
Binge Drinking 19.0% 15.7%
Obesity 25.4% 31.2%
Disability Percentage 9.0% 18.0%

Health Statistics Comparison: San clemente vs Cottonwood

  • In Cottonwood, a higher percentage report poor mental health at 15.8% compared to 14.2% in San clemente.
  • Higher depression rates are seen in Cottonwood at 22.3% versus 18.9% in San clemente.
  • Cottonwood has a higher smoking rate at 17.8% compared to 8.9% in San clemente.
  • Binge drinking is more common in San clemente at 19.0% compared to 15.7% in Cottonwood.
  • Cottonwood has higher obesity rates at 31.2% compared to 25.4% in San clemente.
  • There is a higher percentage of disabled individuals in Cottonwood at 18.0% compared to 9.0% in San clemente.

Education Levels

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

Education Level San clemente Cottonwood
No Schooling 0.9% (574) 0.0% (Data is updating)
High School Diploma 8.4% (5,352) 28.3% (248)
Less than High School 7.8% (4,957) 19.6% (172)
Bachelor's Degree and Higher 36.1% (22,911) 20.2% (177)

Education Levels Comparison: San clemente vs Cottonwood

  • A higher percentage of residents in San clemente have no formal schooling at 0.9% compared to 0.0% in Cottonwood.
  • In Cottonwood, the rate of residents with high school diplomas is higher at 28.3% compared to 8.4% in San clemente.
  • The percentage of residents with less than a high school education is higher in Cottonwood at 19.6%, compared to 7.8% in San clemente.
  • A higher percentage of residents in San clemente hold a bachelor's degree or higher at 36.1% compared to 20.2% in Cottonwood.

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.