Demographics details for Charleston, SC vs Yucca valley, CA

Population Overview

Compare main population characteristics in Charleston, SC vs Yucca valley, CA.

Data Charleston Yucca valley
Population 153,672 21,662
Median Age 36.3 years 39.9 years
Median Income $83,891 $54,153
Married Families 37.0% 34.0%
Poverty Level 12% 12%
Unemployment Rate 3.8 5.2

Population Comparison: Charleston vs Yucca valley

  • In Charleston, the population is higher at 153,672, compared to 21,662 in Yucca valley.
  • The median age in Yucca valley is higher at 39.9 years, compared to 36.3 years in Charleston.
  • Charleston has a higher median income of $83,891 compared to $54,153 in Yucca valley.
  • A higher percentage of married families is found in Charleston at 37.0% compared to 34.0% in Yucca valley.
  • The poverty level is identical in both Charleston and Yucca valley at 12%.
  • Yucca valley has a higher unemployment rate at 5.2% compared to 3.8% in Charleston.

Demographics

Demographics Charleston vs Yucca valley provide insight into the diversity of the communities to compare.

Demographic Charleston Yucca valley
Black 18 4
White 71 51
Asian 2 2
Hispanic 5 25
Two or More Races 4 16
American Indian Data is updating 2

Demographics Comparison: Charleston vs Yucca valley

  • A higher percentage of Black residents are in Charleston at 18% compared to 4% in Yucca valley.
  • Charleston has a higher percentage of White residents at 71% compared to 51% in Yucca valley.
  • Both Charleston and Yucca valley have the same percentage of Asian residents at 2%.
  • Yucca valley has a higher percentage of Hispanic residents at 25%, compared to 5% in Charleston.
  • The percentage of residents identifying as two or more races is higher in Yucca valley at 16%, compared to 4% in Charleston.
  • In Yucca valley, the percentage of American Indian residents is higher at 2%, compared to 0% in Charleston.

Health Statistics

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

Health Metric Charleston Yucca valley
Mental Health Not Good 15.6% 19.2%
Physical Health Not Good 9.4% 13.6%
Depression 19.6% 22.0%
Smoking 13.0% 16.7%
Binge Drinking 23.0% 16.4%
Obesity 31.8% 38.8%
Disability Percentage 9.0% 20.0%

Health Statistics Comparison: Charleston vs Yucca valley

  • In Yucca valley, a higher percentage report poor mental health at 19.2% compared to 15.6% in Charleston.
  • Higher depression rates are seen in Yucca valley at 22.0% versus 19.6% in Charleston.
  • Yucca valley has a higher smoking rate at 16.7% compared to 13.0% in Charleston.
  • Binge drinking is more common in Charleston at 23.0% compared to 16.4% in Yucca valley.
  • Yucca valley has higher obesity rates at 38.8% compared to 31.8% in Charleston.
  • There is a higher percentage of disabled individuals in Yucca valley at 20.0% compared to 9.0% in Charleston.

Education Levels

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

Education Level Charleston Yucca valley
No Schooling 0.4% (646) 0.9% (191)
High School Diploma 9.1% (13,959) 17.3% (3,754)
Less than High School 4.3% (6,655) 15.6% (3,383)
Bachelor's Degree and Higher 39.9% (61,263) 13.4% (2,907)

Education Levels Comparison: Charleston vs Yucca valley

  • In Yucca valley, a larger percentage of residents lack formal schooling at 0.9% compared to 0.4% in Charleston.
  • In Yucca valley, the rate of residents with high school diplomas is higher at 17.3% compared to 9.1% in Charleston.
  • The percentage of residents with less than a high school education is higher in Yucca valley at 15.6%, compared to 4.3% in Charleston.
  • A higher percentage of residents in Charleston hold a bachelor's degree or higher at 39.9% compared to 13.4% in Yucca valley.

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.