Demographics details for Sikeston, MO vs Natrona heights, PA

Population Overview

Compare main population characteristics in Sikeston, MO vs Natrona heights, PA.

Data Sikeston Natrona heights
Population 16,073 5,735
Median Age 37.3 years 42.0 years
Median Income $47,464 $65,000
Married Families 36.0% 70.0%
Poverty Level 16% 5%
Unemployment Rate 3.4 4.5

Population Comparison: Sikeston vs Natrona heights

  • In Sikeston, the population is higher at 16,073, compared to 5,735 in Natrona heights.
  • The median age in Natrona heights is higher at 42.0 years, compared to 37.3 years in Sikeston.
  • Natrona heights has a higher median income of $65,000, compared to $47,464 in Sikeston.
  • In Natrona heights, the percentage of married families is higher at 70.0%, compared to 36.0% in Sikeston.
  • Sikeston has a higher poverty level at 16% compared to 5% in Natrona heights.
  • Natrona heights has a higher unemployment rate at 4.5% compared to 3.4% in Sikeston.

Demographics

Demographics Sikeston vs Natrona heights provide insight into the diversity of the communities to compare.

Demographic Sikeston Natrona heights
Black 25 5
White 65 85
Asian Data is updating 5
Hispanic 3 5
Two or More Races 7 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Sikeston vs Natrona heights

  • A higher percentage of Black residents are in Sikeston at 25% compared to 5% in Natrona heights.
  • The percentage of White residents is higher in Natrona heights at 85% compared to 65% in Sikeston.
  • In Natrona heights, the Asian population stands at 5%, greater than 0% in Sikeston.
  • Natrona heights has a higher percentage of Hispanic residents at 5%, compared to 3% in Sikeston.
  • More residents identify as two or more races in Sikeston at 7% compared to 0% in Natrona heights.
  • The percentage of American Indian residents is the same in both Sikeston and Natrona heights at 0%.

Health Statistics

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

Health Metric Sikeston Natrona heights
Mental Health Not Good 19.8% Data is updating%
Physical Health Not Good 14.7% Data is updating%
Depression 24.6% Data is updating%
Smoking 23.9% Data is updating%
Binge Drinking 15.8% Data is updating%
Obesity 39.0% Data is updating%
Disability Percentage 20.0% Data is updating%

Health Statistics Comparison: Sikeston vs Natrona heights

  • More residents in Sikeston report poor mental health at 19.8% compared to 0.0% in Natrona heights.
  • Depression is more prevalent in Sikeston at 24.6% compared to 0.0% in Natrona heights.
  • Smoking is more prevalent in Sikeston at 23.9% compared to 0.0% in Natrona heights.
  • Binge drinking is more common in Sikeston at 15.8% compared to 0.0% in Natrona heights.
  • Obesity rates are higher in Sikeston at 39.0% compared to 0.0% in Natrona heights.
  • Disability percentages are higher in Sikeston at 20.0% compared to 0.0% in Natrona heights.

Education Levels

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

Education Level Sikeston Natrona heights
No Schooling 0.5% (76) 0.0% (Data is updating)
High School Diploma 23.0% (3,696) 0.0% (Data is updating)
Less than High School 13.3% (2,142) 0.0% (Data is updating)
Bachelor's Degree and Higher 16.3% (2,619) 0.0% (Data is updating)

Education Levels Comparison: Sikeston vs Natrona heights

  • A higher percentage of residents in Sikeston have no formal schooling at 0.5% compared to 0.0% in Natrona heights.
  • A higher percentage of residents in Sikeston hold a high school diploma at 23.0% compared to 0.0% in Natrona heights.
  • More residents in Sikeston have less than a high school education at 13.3% compared to 0.0% in Natrona heights.
  • A higher percentage of residents in Sikeston hold a bachelor's degree or higher at 16.3% compared to 0.0% in Natrona heights.

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.