Demographics details for Yorba linda, CA vs Columbia, SC

Population Overview

Compare main population characteristics in Yorba linda, CA vs Columbia, SC.

Data Yorba linda Columbia
Population 67,089 139,698
Median Age 44.3 years 28.3 years
Median Income $148,325 $54,095
Married Families 52.0% 25.0%
Poverty Level 5% 17%
Unemployment Rate 3.8 5.8

Population Comparison: Yorba linda vs Columbia

  • The population in Columbia is higher at 139,698, compared to 67,089 in Yorba linda.
  • Residents in Yorba linda have a higher median age of 44.3 years compared to 28.3 years in Columbia.
  • Yorba linda has a higher median income of $148,325 compared to $54,095 in Columbia.
  • A higher percentage of married families is found in Yorba linda at 52.0% compared to 25.0% in Columbia.
  • The poverty level is higher in Columbia at 17%, compared to 5% in Yorba linda.
  • Columbia has a higher unemployment rate at 5.8% compared to 3.8% in Yorba linda.

Demographics

Demographics Yorba linda vs Columbia provide insight into the diversity of the communities to compare.

Demographic Yorba linda Columbia
Black 1 40
White 47 48
Asian 24 2
Hispanic 18 5
Two or More Races 10 5
American Indian Data is updating Data is updating

Demographics Comparison: Yorba linda vs Columbia

  • In Columbia, the percentage of Black residents is higher at 40% compared to 1% in Yorba linda.
  • The percentage of White residents is higher in Columbia at 48% compared to 47% in Yorba linda.
  • The Asian population is larger in Yorba linda at 24% compared to 2% in Columbia.
  • The Hispanic community is larger in Yorba linda at 18% compared to 5% in Columbia.
  • More residents identify as two or more races in Yorba linda at 10% compared to 5% in Columbia.
  • The percentage of American Indian residents is the same in both Yorba linda and Columbia at 0%.

Health Statistics

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

Health Metric Yorba linda Columbia
Mental Health Not Good 13.2% 18.6%
Physical Health Not Good 7.9% 13.1%
Depression 17.4% 20.8%
Smoking 7.9% 19.1%
Binge Drinking 17.8% 18.1%
Obesity 23.2% 39.0%
Disability Percentage 8.0% 11.0%

Health Statistics Comparison: Yorba linda vs Columbia

  • In Columbia, a higher percentage report poor mental health at 18.6% compared to 13.2% in Yorba linda.
  • Higher depression rates are seen in Columbia at 20.8% versus 17.4% in Yorba linda.
  • Columbia has a higher smoking rate at 19.1% compared to 7.9% in Yorba linda.
  • More residents engage in binge drinking in Columbia at 18.1% compared to 17.8% in Yorba linda.
  • Columbia has higher obesity rates at 39.0% compared to 23.2% in Yorba linda.
  • There is a higher percentage of disabled individuals in Columbia at 11.0% compared to 8.0% in Yorba linda.

Education Levels

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

Education Level Yorba linda Columbia
No Schooling 0.4% (244) 0.4% (555)
High School Diploma 7.7% (5,151) 8.4% (11,712)
Less than High School 5.2% (3,507) 5.9% (8,257)
Bachelor's Degree and Higher 39.5% (26,487) 24.7% (34,575)

Education Levels Comparison: Yorba linda vs Columbia

  • The percentage of residents with no formal schooling is the same in both Yorba linda and Columbia at 0.4%.
  • In Columbia, the rate of residents with high school diplomas is higher at 8.4% compared to 7.7% in Yorba linda.
  • The percentage of residents with less than a high school education is higher in Columbia at 5.9%, compared to 5.2% in Yorba linda.
  • A higher percentage of residents in Yorba linda hold a bachelor's degree or higher at 39.5% compared to 24.7% in Columbia.

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.