Demographics details for Sikeston, MO vs New richmond, OH

Population Overview

Compare main population characteristics in Sikeston, MO vs New richmond, OH.

Data Sikeston New richmond
Population 16,073 2,753
Median Age 37.3 years 39.5 years
Median Income $47,464 $76,760
Married Families 36.0% 45.0%
Poverty Level 16% 7%
Unemployment Rate 3.4 3.2

Population Comparison: Sikeston vs New richmond

  • In Sikeston, the population is higher at 16,073, compared to 2,753 in New richmond.
  • The median age in New richmond is higher at 39.5 years, compared to 37.3 years in Sikeston.
  • New richmond has a higher median income of $76,760, compared to $47,464 in Sikeston.
  • In New richmond, the percentage of married families is higher at 45.0%, compared to 36.0% in Sikeston.
  • Sikeston has a higher poverty level at 16% compared to 7% in New richmond.
  • The unemployment rate in Sikeston is higher at 3.4%, compared to 3.2% in New richmond.

Demographics

Demographics Sikeston vs New richmond provide insight into the diversity of the communities to compare.

Demographic Sikeston New richmond
Black 25 4
White 65 89
Asian Data is updating Data is updating
Hispanic 3 3
Two or More Races 7 4
American Indian Data is updating Data is updating

Demographics Comparison: Sikeston vs New richmond

  • A higher percentage of Black residents are in Sikeston at 25% compared to 4% in New richmond.
  • The percentage of White residents is higher in New richmond at 89% compared to 65% in Sikeston.
  • Both Sikeston and New richmond have the same percentage of Asian residents at 0%.
  • The percentage of Hispanic residents is the same in both Sikeston and New richmond at 3%.
  • More residents identify as two or more races in Sikeston at 7% compared to 4% in New richmond.
  • The percentage of American Indian residents is the same in both Sikeston and New richmond at 0%.

Health Statistics

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

Health Metric Sikeston New richmond
Mental Health Not Good 19.8% 18.9%
Physical Health Not Good 14.7% 13.3%
Depression 24.6% 25.5%
Smoking 23.9% 24.9%
Binge Drinking 15.8% 19.0%
Obesity 39.0% 38.1%
Disability Percentage 20.0% 18.0%

Health Statistics Comparison: Sikeston vs New richmond

  • More residents in Sikeston report poor mental health at 19.8% compared to 18.9% in New richmond.
  • Higher depression rates are seen in New richmond at 25.5% versus 24.6% in Sikeston.
  • New richmond has a higher smoking rate at 24.9% compared to 23.9% in Sikeston.
  • More residents engage in binge drinking in New richmond at 19.0% compared to 15.8% in Sikeston.
  • Obesity rates are higher in Sikeston at 39.0% compared to 38.1% in New richmond.
  • Disability percentages are higher in Sikeston at 20.0% compared to 18.0% in New richmond.

Education Levels

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

Education Level Sikeston New richmond
No Schooling 0.5% (76) 0.0% (Data is updating)
High School Diploma 23.0% (3,696) 23.4% (643)
Less than High School 13.3% (2,142) 18.1% (498)
Bachelor's Degree and Higher 16.3% (2,619) 13.4% (369)

Education Levels Comparison: Sikeston vs New richmond

  • A higher percentage of residents in Sikeston have no formal schooling at 0.5% compared to 0.0% in New richmond.
  • In New richmond, the rate of residents with high school diplomas is higher at 23.4% compared to 23.0% in Sikeston.
  • The percentage of residents with less than a high school education is higher in New richmond at 18.1%, 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 13.4% in New richmond.

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.