Demographics details for South cle elum, WA vs Orange cove, CA

Population Overview

Compare main population characteristics in South cle elum, WA vs Orange cove, CA.

Data South cle elum Orange cove
Population 564 9,525
Median Age 35.2 years 24.4 years
Median Income $56,400 $33,671
Married Families 47.0% 30.0%
Poverty Level 10% 26%
Unemployment Rate 5.0 5.2

Population Comparison: South cle elum vs Orange cove

  • The population in Orange cove is higher at 9,525, compared to 564 in South cle elum.
  • Residents in South cle elum have a higher median age of 35.2 years compared to 24.4 years in Orange cove.
  • South cle elum has a higher median income of $56,400 compared to $33,671 in Orange cove.
  • A higher percentage of married families is found in South cle elum at 47.0% compared to 30.0% in Orange cove.
  • The poverty level is higher in Orange cove at 26%, compared to 10% in South cle elum.
  • Orange cove has a higher unemployment rate at 5.2% compared to 5.0% in South cle elum.

Demographics

Demographics South cle elum vs Orange cove provide insight into the diversity of the communities to compare.

Demographic South cle elum Orange cove
Black Data is updating 1
White 84 -17
Asian Data is updating Data is updating
Hispanic 6 97
Two or More Races 10 19
American Indian Data is updating Data is updating

Demographics Comparison: South cle elum vs Orange cove

  • In Orange cove, the percentage of Black residents is higher at 1% compared to 0% in South cle elum.
  • South cle elum has a higher percentage of White residents at 84% compared to -17% in Orange cove.
  • Both South cle elum and Orange cove have the same percentage of Asian residents at 0%.
  • Orange cove has a higher percentage of Hispanic residents at 97%, compared to 6% in South cle elum.
  • The percentage of residents identifying as two or more races is higher in Orange cove at 19%, compared to 10% in South cle elum.
  • The percentage of American Indian residents is the same in both South cle elum and Orange cove at 0%.

Health Statistics

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

Health Metric South cle elum Orange cove
Mental Health Not Good 17.8% 21.3%
Physical Health Not Good 11.9% 20.7%
Depression 26.2% 19.2%
Smoking 16.3% 21.1%
Binge Drinking 18.3% 11.7%
Obesity 31.0% 46.7%
Disability Percentage 26.0% 7.0%

Health Statistics Comparison: South cle elum vs Orange cove

  • In Orange cove, a higher percentage report poor mental health at 21.3% compared to 17.8% in South cle elum.
  • Depression is more prevalent in South cle elum at 26.2% compared to 19.2% in Orange cove.
  • Orange cove has a higher smoking rate at 21.1% compared to 16.3% in South cle elum.
  • Binge drinking is more common in South cle elum at 18.3% compared to 11.7% in Orange cove.
  • Orange cove has higher obesity rates at 46.7% compared to 31.0% in South cle elum.
  • Disability percentages are higher in South cle elum at 26.0% compared to 7.0% in Orange cove.

Education Levels

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

Education Level South cle elum Orange cove
No Schooling 0.0% (Data is updating) 6.5% (617)
High School Diploma 22.2% (125) 8.0% (765)
Less than High School 21.6% (122) 55.1% (5,248)
Bachelor's Degree and Higher 20.6% (116) 3.3% (315)

Education Levels Comparison: South cle elum vs Orange cove

  • In Orange cove, a larger percentage of residents lack formal schooling at 6.5% compared to 0.0% in South cle elum.
  • A higher percentage of residents in South cle elum hold a high school diploma at 22.2% compared to 8.0% in Orange cove.
  • The percentage of residents with less than a high school education is higher in Orange cove at 55.1%, compared to 21.6% in South cle elum.
  • A higher percentage of residents in South cle elum hold a bachelor's degree or higher at 20.6% compared to 3.3% in Orange cove.

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.