Demographics details for Sikeston, MO vs Spring valley, NY

Population Overview

Compare main population characteristics in Sikeston, MO vs Spring valley, NY.

Data Sikeston Spring valley
Population 16,073 32,884
Median Age 37.3 years 27.5 years
Median Income $47,464 $50,749
Married Families 36.0% 32.0%
Poverty Level 16% 10%
Unemployment Rate 3.4 3.2

Population Comparison: Sikeston vs Spring valley

  • The population in Spring valley is higher at 32,884, compared to 16,073 in Sikeston.
  • Residents in Sikeston have a higher median age of 37.3 years compared to 27.5 years in Spring valley.
  • Spring valley has a higher median income of $50,749, compared to $47,464 in Sikeston.
  • A higher percentage of married families is found in Sikeston at 36.0% compared to 32.0% in Spring valley.
  • Sikeston has a higher poverty level at 16% compared to 10% in Spring valley.
  • The unemployment rate in Sikeston is higher at 3.4%, compared to 3.2% in Spring valley.

Demographics

Demographics Sikeston vs Spring valley provide insight into the diversity of the communities to compare.

Demographic Sikeston Spring valley
Black 25 32
White 65 31
Asian Data is updating 3
Hispanic 3 29
Two or More Races 7 5
American Indian Data is updating Data is updating

Demographics Comparison: Sikeston vs Spring valley

  • In Spring valley, the percentage of Black residents is higher at 32% compared to 25% in Sikeston.
  • Sikeston has a higher percentage of White residents at 65% compared to 31% in Spring valley.
  • In Spring valley, the Asian population stands at 3%, greater than 0% in Sikeston.
  • Spring valley has a higher percentage of Hispanic residents at 29%, compared to 3% in Sikeston.
  • More residents identify as two or more races in Sikeston at 7% compared to 5% in Spring valley.
  • The percentage of American Indian residents is the same in both Sikeston and Spring valley at 0%.

Health Statistics

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

Health Metric Sikeston Spring valley
Mental Health Not Good 19.8% 16.7%
Physical Health Not Good 14.7% 13.9%
Depression 24.6% 18.7%
Smoking 23.9% 22.3%
Binge Drinking 15.8% 12.6%
Obesity 39.0% 34.3%
Disability Percentage 20.0% 8.0%

Health Statistics Comparison: Sikeston vs Spring valley

  • More residents in Sikeston report poor mental health at 19.8% compared to 16.7% in Spring valley.
  • Depression is more prevalent in Sikeston at 24.6% compared to 18.7% in Spring valley.
  • Smoking is more prevalent in Sikeston at 23.9% compared to 22.3% in Spring valley.
  • Binge drinking is more common in Sikeston at 15.8% compared to 12.6% in Spring valley.
  • Obesity rates are higher in Sikeston at 39.0% compared to 34.3% in Spring valley.
  • Disability percentages are higher in Sikeston at 20.0% compared to 8.0% in Spring valley.

Education Levels

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

Education Level Sikeston Spring valley
No Schooling 0.5% (76) 3.7% (1,224)
High School Diploma 23.0% (3,696) 13.1% (4,315)
Less than High School 13.3% (2,142) 20.5% (6,742)
Bachelor's Degree and Higher 16.3% (2,619) 10.0% (3,273)

Education Levels Comparison: Sikeston vs Spring valley

  • In Spring valley, a larger percentage of residents lack formal schooling at 3.7% compared to 0.5% in Sikeston.
  • A higher percentage of residents in Sikeston hold a high school diploma at 23.0% compared to 13.1% in Spring valley.
  • The percentage of residents with less than a high school education is higher in Spring valley at 20.5%, compared to 13.3% in Sikeston.
  • A higher percentage of residents in Sikeston hold a bachelor's degree or higher at 16.3% compared to 10.0% in Spring 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.