Demographics details for South fork, PA vs Yucca valley, CA

Population Overview

Compare main population characteristics in South fork, PA vs Yucca valley, CA.

Data South fork Yucca valley
Population 931 21,662
Median Age 38.5 years 39.9 years
Median Income $32,273 $54,153
Married Families 28.0% 34.0%
Poverty Level 10% 12%
Unemployment Rate 4.5 5.2

Population Comparison: South fork vs Yucca valley

  • The population in Yucca valley is higher at 21,662, compared to 931 in South fork.
  • The median age in Yucca valley is higher at 39.9 years, compared to 38.5 years in South fork.
  • Yucca valley has a higher median income of $54,153, compared to $32,273 in South fork.
  • In Yucca valley, the percentage of married families is higher at 34.0%, compared to 28.0% in South fork.
  • The poverty level is higher in Yucca valley at 12%, compared to 10% in South fork.
  • Yucca valley has a higher unemployment rate at 5.2% compared to 4.5% in South fork.

Demographics

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

Demographic South fork Yucca valley
Black Data is updating 4
White 90 51
Asian 1 2
Hispanic 2 25
Two or More Races 7 16
American Indian Data is updating 2

Demographics Comparison: South fork vs Yucca valley

  • In Yucca valley, the percentage of Black residents is higher at 4% compared to 0% in South fork.
  • South fork has a higher percentage of White residents at 90% compared to 51% in Yucca valley.
  • In Yucca valley, the Asian population stands at 2%, greater than 1% in South fork.
  • Yucca valley has a higher percentage of Hispanic residents at 25%, compared to 2% in South fork.
  • The percentage of residents identifying as two or more races is higher in Yucca valley at 16%, compared to 7% in South fork.
  • In Yucca valley, the percentage of American Indian residents is higher at 2%, compared to 0% in South fork.

Health Statistics

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

Health Metric South fork Yucca valley
Mental Health Not Good 18.9% 19.2%
Physical Health Not Good 12.8% 13.6%
Depression 25.7% 22.0%
Smoking 22.3% 16.7%
Binge Drinking 18.4% 16.4%
Obesity 39.3% 38.8%
Disability Percentage 15.0% 20.0%

Health Statistics Comparison: South fork vs Yucca valley

  • In Yucca valley, a higher percentage report poor mental health at 19.2% compared to 18.9% in South fork.
  • Depression is more prevalent in South fork at 25.7% compared to 22.0% in Yucca valley.
  • Smoking is more prevalent in South fork at 22.3% compared to 16.7% in Yucca valley.
  • Binge drinking is more common in South fork at 18.4% compared to 16.4% in Yucca valley.
  • Obesity rates are higher in South fork at 39.3% compared to 38.8% in Yucca valley.
  • There is a higher percentage of disabled individuals in Yucca valley at 20.0% compared to 15.0% in South fork.

Education Levels

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

Education Level South fork Yucca valley
No Schooling 0.0% (Data is updating) 0.9% (191)
High School Diploma 32.0% (298) 17.3% (3,754)
Less than High School 12.0% (112) 15.6% (3,383)
Bachelor's Degree and Higher 4.4% (41) 13.4% (2,907)

Education Levels Comparison: South fork vs Yucca valley

  • In Yucca valley, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in South fork.
  • A higher percentage of residents in South fork hold a high school diploma at 32.0% compared to 17.3% in Yucca valley.
  • The percentage of residents with less than a high school education is higher in Yucca valley at 15.6%, compared to 12.0% in South fork.
  • In Yucca valley, a larger share of residents have a bachelor's degree or higher at 13.4% compared to 4.4% in South fork.

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.