Demographics details for Sunrise beach, MO vs Jefferson, SD

Population Overview

Compare main population characteristics in Sunrise beach, MO vs Jefferson, SD.

Data Sunrise beach Jefferson
Population 475 457
Median Age 43.9 years 37.1 years
Median Income $46,389 $77,601
Married Families 33.0% 59.0%
Poverty Level 12% 5%
Unemployment Rate 3.5 2.3

Population Comparison: Sunrise beach vs Jefferson

  • In Sunrise beach, the population is higher at 475, compared to 457 in Jefferson.
  • Residents in Sunrise beach have a higher median age of 43.9 years compared to 37.1 years in Jefferson.
  • Jefferson has a higher median income of $77,601, compared to $46,389 in Sunrise beach.
  • In Jefferson, the percentage of married families is higher at 59.0%, compared to 33.0% in Sunrise beach.
  • Sunrise beach has a higher poverty level at 12% compared to 5% in Jefferson.
  • The unemployment rate in Sunrise beach is higher at 3.5%, compared to 2.3% in Jefferson.

Demographics

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

Demographic Sunrise beach Jefferson
Black 1 Data is updating
White 91 85
Asian 1 Data is updating
Hispanic 5 6
Two or More Races 1 4
American Indian 1 5

Demographics Comparison: Sunrise beach vs Jefferson

  • A higher percentage of Black residents are in Sunrise beach at 1% compared to 0% in Jefferson.
  • Sunrise beach has a higher percentage of White residents at 91% compared to 85% in Jefferson.
  • The Asian population is larger in Sunrise beach at 1% compared to 0% in Jefferson.
  • Jefferson has a higher percentage of Hispanic residents at 6%, compared to 5% in Sunrise beach.
  • The percentage of residents identifying as two or more races is higher in Jefferson at 4%, compared to 1% in Sunrise beach.
  • In Jefferson, the percentage of American Indian residents is higher at 5%, compared to 1% in Sunrise beach.

Health Statistics

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

Health Metric Sunrise beach Jefferson
Mental Health Not Good 17.7% 12.5%
Physical Health Not Good 12.6% 8.2%
Depression 25.2% 16.7%
Smoking 20.6% 14.5%
Binge Drinking 19.7% 20.4%
Obesity 37.2% 38.6%
Disability Percentage 17.0% 14.0%

Health Statistics Comparison: Sunrise beach vs Jefferson

  • More residents in Sunrise beach report poor mental health at 17.7% compared to 12.5% in Jefferson.
  • Depression is more prevalent in Sunrise beach at 25.2% compared to 16.7% in Jefferson.
  • Smoking is more prevalent in Sunrise beach at 20.6% compared to 14.5% in Jefferson.
  • More residents engage in binge drinking in Jefferson at 20.4% compared to 19.7% in Sunrise beach.
  • Jefferson has higher obesity rates at 38.6% compared to 37.2% in Sunrise beach.
  • Disability percentages are higher in Sunrise beach at 17.0% compared to 14.0% in Jefferson.

Education Levels

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

Education Level Sunrise beach Jefferson
No Schooling 1.1% (5) 0.0% (Data is updating)
High School Diploma 20.8% (99) 22.3% (102)
Less than High School 2.9% (14) 7.9% (36)
Bachelor's Degree and Higher 25.5% (121) 23.0% (105)

Education Levels Comparison: Sunrise beach vs Jefferson

  • A higher percentage of residents in Sunrise beach have no formal schooling at 1.1% compared to 0.0% in Jefferson.
  • In Jefferson, the rate of residents with high school diplomas is higher at 22.3% compared to 20.8% in Sunrise beach.
  • The percentage of residents with less than a high school education is higher in Jefferson at 7.9%, compared to 2.9% in Sunrise beach.
  • A higher percentage of residents in Sunrise beach hold a bachelor's degree or higher at 25.5% compared to 23.0% 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.