Demographics details for Mound valley, KS vs Santa maria, CA

Population Overview

Compare main population characteristics in Mound valley, KS vs Santa maria, CA.

Data Mound valley Santa maria
Population 348 110,125
Median Age 42.5 years 29.3 years
Median Income $52,500 $81,237
Married Families 32.0% 31.0%
Poverty Level 12% 15%
Unemployment Rate 3.5 5.0

Population Comparison: Mound valley vs Santa maria

  • The population in Santa maria is higher at 110,125, compared to 348 in Mound valley.
  • Residents in Mound valley have a higher median age of 42.5 years compared to 29.3 years in Santa maria.
  • Santa maria has a higher median income of $81,237, compared to $52,500 in Mound valley.
  • A higher percentage of married families is found in Mound valley at 32.0% compared to 31.0% in Santa maria.
  • The poverty level is higher in Santa maria at 15%, compared to 12% in Mound valley.
  • Santa maria has a higher unemployment rate at 5.0% compared to 3.5% in Mound valley.

Demographics

Demographics Mound valley vs Santa maria provide insight into the diversity of the communities to compare.

Demographic Mound valley Santa maria
Black Data is updating 1
White 85 -13
Asian Data is updating 5
Hispanic 5 77
Two or More Races 9 28
American Indian 1 2

Demographics Comparison: Mound valley vs Santa maria

  • In Santa maria, the percentage of Black residents is higher at 1% compared to 0% in Mound valley.
  • Mound valley 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 Mound valley.
  • Santa maria has a higher percentage of Hispanic residents at 77%, compared to 5% in Mound valley.
  • The percentage of residents identifying as two or more races is higher in Santa maria at 28%, compared to 9% in Mound valley.
  • In Santa maria, the percentage of American Indian residents is higher at 2%, compared to 1% in Mound valley.

Health Statistics

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

Health Metric Mound valley Santa maria
Mental Health Not Good 17.1% 17.2%
Physical Health Not Good 11.1% 14.2%
Depression 21.9% 19.5%
Smoking 19.8% 15.3%
Binge Drinking 19.1% 14.9%
Obesity 41.6% 32.8%
Disability Percentage 27.0% 10.0%

Health Statistics Comparison: Mound valley vs Santa maria

  • In Santa maria, a higher percentage report poor mental health at 17.2% compared to 17.1% in Mound valley.
  • Depression is more prevalent in Mound valley at 21.9% compared to 19.5% in Santa maria.
  • Smoking is more prevalent in Mound valley at 19.8% compared to 15.3% in Santa maria.
  • Binge drinking is more common in Mound valley at 19.1% compared to 14.9% in Santa maria.
  • Obesity rates are higher in Mound valley at 41.6% compared to 32.8% in Santa maria.
  • Disability percentages are higher in Mound valley at 27.0% 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 Mound valley Santa maria
No Schooling 0.3% (1) 3.9% (4,329)
High School Diploma 14.1% (49) 10.4% (11,486)
Less than High School 10.3% (36) 40.4% (44,477)
Bachelor's Degree and Higher 6.6% (23) 8.1% (8,930)

Education Levels Comparison: Mound valley vs Santa maria

  • In Santa maria, a larger percentage of residents lack formal schooling at 3.9% compared to 0.3% in Mound valley.
  • A higher percentage of residents in Mound valley hold a high school diploma at 14.1% 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 10.3% in Mound valley.
  • In Santa maria, a larger share of residents have a bachelor's degree or higher at 8.1% compared to 6.6% in Mound valley.

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.