Demographics details for Osage beach, MO vs Santa maria, CA

Population Overview

Compare main population characteristics in Osage beach, MO vs Santa maria, CA.

Data Osage beach Santa maria
Population 4,821 110,125
Median Age 48.0 years 29.3 years
Median Income $51,600 $81,237
Married Families 37.0% 31.0%
Poverty Level 7% 15%
Unemployment Rate 3.4 5.0

Population Comparison: Osage beach vs Santa maria

  • The population in Santa maria is higher at 110,125, compared to 4,821 in Osage beach.
  • Residents in Osage beach have a higher median age of 48.0 years compared to 29.3 years in Santa maria.
  • Santa maria has a higher median income of $81,237, compared to $51,600 in Osage beach.
  • A higher percentage of married families is found in Osage beach at 37.0% compared to 31.0% in Santa maria.
  • The poverty level is higher in Santa maria at 15%, compared to 7% in Osage beach.
  • Santa maria has a higher unemployment rate at 5.0% compared to 3.4% in Osage beach.

Demographics

Demographics Osage beach vs Santa maria provide insight into the diversity of the communities to compare.

Demographic Osage beach Santa maria
Black 3 1
White 85 -13
Asian Data is updating 5
Hispanic 8 77
Two or More Races 3 28
American Indian 1 2

Demographics Comparison: Osage beach vs Santa maria

  • A higher percentage of Black residents are in Osage beach at 3% compared to 1% in Santa maria.
  • Osage beach has a higher percentage of White residents at 85% compared to -13% in Santa maria.
  • In Santa maria, the Asian population stands at 5%, greater than 0% in Osage beach.
  • Santa maria has a higher percentage of Hispanic residents at 77%, compared to 8% in Osage beach.
  • The percentage of residents identifying as two or more races is higher in Santa maria at 28%, compared to 3% in Osage beach.
  • In Santa maria, the percentage of American Indian residents is higher at 2%, compared to 1% in Osage beach.

Health Statistics

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

Health Metric Osage beach Santa maria
Mental Health Not Good 18.4% 17.2%
Physical Health Not Good 13.7% 14.2%
Depression 25.5% 19.5%
Smoking 22.6% 15.3%
Binge Drinking 18.8% 14.9%
Obesity 38.5% 32.8%
Disability Percentage 15.0% 10.0%

Health Statistics Comparison: Osage beach vs Santa maria

  • More residents in Osage beach report poor mental health at 18.4% compared to 17.2% in Santa maria.
  • Depression is more prevalent in Osage beach at 25.5% compared to 19.5% in Santa maria.
  • Smoking is more prevalent in Osage beach at 22.6% compared to 15.3% in Santa maria.
  • Binge drinking is more common in Osage beach at 18.8% compared to 14.9% in Santa maria.
  • Obesity rates are higher in Osage beach at 38.5% compared to 32.8% in Santa maria.
  • Disability percentages are higher in Osage beach at 15.0% compared to 10.0% in Santa maria.

Education Levels

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

Education Level Osage beach Santa maria
No Schooling 0.0% (Data is updating) 3.9% (4,329)
High School Diploma 22.9% (1,105) 10.4% (11,486)
Less than High School 22.9% (1,106) 40.4% (44,477)
Bachelor's Degree and Higher 16.6% (801) 8.1% (8,930)

Education Levels Comparison: Osage beach vs Santa maria

  • In Santa maria, a larger percentage of residents lack formal schooling at 3.9% compared to 0.0% in Osage beach.
  • A higher percentage of residents in Osage beach hold a high school diploma at 22.9% compared to 10.4% in Santa maria.
  • The percentage of residents with less than a high school education is higher in Santa maria at 40.4%, compared to 22.9% in Osage beach.
  • A higher percentage of residents in Osage beach hold a bachelor's degree or higher at 16.6% compared to 8.1% in Santa maria.

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.