Demographics details for Lookout mountain, TN vs Sikeston, MO

Population Overview

Compare main population characteristics in Lookout mountain, TN vs Sikeston, MO.

Data Lookout mountain Sikeston
Population 2,050 16,073
Median Age 49.3 years 37.3 years
Median Income $181,458 $47,464
Married Families 55.0% 36.0%
Poverty Level Data is updating 16%
Unemployment Rate 3.4 3.4

Population Comparison: Lookout mountain vs Sikeston

  • The population in Sikeston is higher at 16,073, compared to 2,050 in Lookout mountain.
  • Residents in Lookout mountain have a higher median age of 49.3 years compared to 37.3 years in Sikeston.
  • Lookout mountain has a higher median income of $181,458 compared to $47,464 in Sikeston.
  • A higher percentage of married families is found in Lookout mountain at 55.0% compared to 36.0% in Sikeston.
  • The poverty level is higher in Sikeston at 16%, compared to 0% in Lookout mountain.
  • The unemployment rate is the same in both Lookout mountain and Sikeston at 3.4%.

Demographics

Demographics Lookout mountain vs Sikeston provide insight into the diversity of the communities to compare.

Demographic Lookout mountain Sikeston
Black 1 25
White 96 65
Asian 1 Data is updating
Hispanic Data is updating 3
Two or More Races 2 7
American Indian Data is updating Data is updating

Demographics Comparison: Lookout mountain vs Sikeston

  • In Sikeston, the percentage of Black residents is higher at 25% compared to 1% in Lookout mountain.
  • Lookout mountain has a higher percentage of White residents at 96% compared to 65% in Sikeston.
  • The Asian population is larger in Lookout mountain at 1% compared to 0% in Sikeston.
  • Sikeston has a higher percentage of Hispanic residents at 3%, compared to 0% in Lookout mountain.
  • The percentage of residents identifying as two or more races is higher in Sikeston at 7%, compared to 2% in Lookout mountain.
  • The percentage of American Indian residents is the same in both Lookout mountain and Sikeston at 0%.

Health Statistics

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

Health Metric Lookout mountain Sikeston
Mental Health Not Good 12.8% 19.8%
Physical Health Not Good 7.3% 14.7%
Depression 24.6% 24.6%
Smoking 8.3% 23.9%
Binge Drinking 18.1% 15.8%
Obesity 27.4% 39.0%
Disability Percentage 13.0% 20.0%

Health Statistics Comparison: Lookout mountain vs Sikeston

  • In Sikeston, a higher percentage report poor mental health at 19.8% compared to 12.8% in Lookout mountain.
  • Both cities have comparable depression rates at 24.6%.
  • Sikeston has a higher smoking rate at 23.9% compared to 8.3% in Lookout mountain.
  • Binge drinking is more common in Lookout mountain at 18.1% compared to 15.8% in Sikeston.
  • Sikeston has higher obesity rates at 39.0% compared to 27.4% in Lookout mountain.
  • There is a higher percentage of disabled individuals in Sikeston at 20.0% compared to 13.0% in Lookout mountain.

Education Levels

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

Education Level Lookout mountain Sikeston
No Schooling 0.0% (Data is updating) 0.5% (76)
High School Diploma 1.4% (29) 23.0% (3,696)
Less than High School 0.4% (9) 13.3% (2,142)
Bachelor's Degree and Higher 64.1% (1,315) 16.3% (2,619)

Education Levels Comparison: Lookout mountain vs Sikeston

  • In Sikeston, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Lookout mountain.
  • In Sikeston, the rate of residents with high school diplomas is higher at 23.0% compared to 1.4% in Lookout mountain.
  • The percentage of residents with less than a high school education is higher in Sikeston at 13.3%, compared to 0.4% in Lookout mountain.
  • A higher percentage of residents in Lookout mountain hold a bachelor's degree or higher at 64.1% compared to 16.3% in Sikeston.

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.