Demographics details for Jefferson, WI vs Huntington beach, CA

Population Overview

Compare main population characteristics in Jefferson, WI vs Huntington beach, CA.

Data Jefferson Huntington beach
Population 7,649 194,310
Median Age 44.8 years 43.3 years
Median Income $69,844 $114,747
Married Families 37.0% 42.0%
Poverty Level 5% 8%
Unemployment Rate 3.5 3.9

Population Comparison: Jefferson vs Huntington beach

  • The population in Huntington beach is higher at 194,310, compared to 7,649 in Jefferson.
  • Residents in Jefferson have a higher median age of 44.8 years compared to 43.3 years in Huntington beach.
  • Huntington beach has a higher median income of $114,747, compared to $69,844 in Jefferson.
  • In Huntington beach, the percentage of married families is higher at 42.0%, compared to 37.0% in Jefferson.
  • The poverty level is higher in Huntington beach at 8%, compared to 5% in Jefferson.
  • Huntington beach has a higher unemployment rate at 3.9% compared to 3.5% in Jefferson.

Demographics

Demographics Jefferson vs Huntington beach provide insight into the diversity of the communities to compare.

Demographic Jefferson Huntington beach
Black 2 1
White 79 54
Asian Data is updating 13
Hispanic 15 20
Two or More Races 4 12
American Indian Data is updating Data is updating

Demographics Comparison: Jefferson vs Huntington beach

  • A higher percentage of Black residents are in Jefferson at 2% compared to 1% in Huntington beach.
  • Jefferson has a higher percentage of White residents at 79% compared to 54% in Huntington beach.
  • In Huntington beach, the Asian population stands at 13%, greater than 0% in Jefferson.
  • Huntington beach has a higher percentage of Hispanic residents at 20%, compared to 15% in Jefferson.
  • The percentage of residents identifying as two or more races is higher in Huntington beach at 12%, compared to 4% in Jefferson.
  • The percentage of American Indian residents is the same in both Jefferson and Huntington beach at 0%.

Health Statistics

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

Health Metric Jefferson Huntington beach
Mental Health Not Good 14.7% 14.6%
Physical Health Not Good 9.8% 9.1%
Depression 22.9% 18.5%
Smoking 15.3% 9.8%
Binge Drinking 24.2% 17.9%
Obesity 33.7% 25.3%
Disability Percentage 13.0% 10.0%

Health Statistics Comparison: Jefferson vs Huntington beach

  • More residents in Jefferson report poor mental health at 14.7% compared to 14.6% in Huntington beach.
  • Depression is more prevalent in Jefferson at 22.9% compared to 18.5% in Huntington beach.
  • Smoking is more prevalent in Jefferson at 15.3% compared to 9.8% in Huntington beach.
  • Binge drinking is more common in Jefferson at 24.2% compared to 17.9% in Huntington beach.
  • Obesity rates are higher in Jefferson at 33.7% compared to 25.3% in Huntington beach.
  • Disability percentages are higher in Jefferson at 13.0% compared to 10.0% in Huntington beach.

Education Levels

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

Education Level Jefferson Huntington beach
No Schooling 2.8% (215) 1.2% (2,307)
High School Diploma 24.4% (1,865) 10.4% (20,253)
Less than High School 13.3% (1,019) 8.5% (16,462)
Bachelor's Degree and Higher 16.4% (1,254) 35.1% (68,285)

Education Levels Comparison: Jefferson vs Huntington beach

  • A higher percentage of residents in Jefferson have no formal schooling at 2.8% compared to 1.2% in Huntington beach.
  • A higher percentage of residents in Jefferson hold a high school diploma at 24.4% compared to 10.4% in Huntington beach.
  • More residents in Jefferson have less than a high school education at 13.3% compared to 8.5% in Huntington beach.
  • In Huntington beach, a larger share of residents have a bachelor's degree or higher at 35.1% compared to 16.4% in Jefferson.

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.