Demographics details for Poplar bluff, MO vs Hazel crest, IL

Population Overview

Compare main population characteristics in Poplar bluff, MO vs Hazel crest, IL.

Data Poplar bluff Hazel crest
Population 16,232 12,897
Median Age 36.0 years 33.0 years
Median Income $37,448 $57,247
Married Families 29.0% 21.0%
Poverty Level 15% 11%
Unemployment Rate 4.5 5.1

Population Comparison: Poplar bluff vs Hazel crest

  • In Poplar bluff, the population is higher at 16,232, compared to 12,897 in Hazel crest.
  • Residents in Poplar bluff have a higher median age of 36.0 years compared to 33.0 years in Hazel crest.
  • Hazel crest has a higher median income of $57,247, compared to $37,448 in Poplar bluff.
  • A higher percentage of married families is found in Poplar bluff at 29.0% compared to 21.0% in Hazel crest.
  • Poplar bluff has a higher poverty level at 15% compared to 11% in Hazel crest.
  • Hazel crest has a higher unemployment rate at 5.1% compared to 4.5% in Poplar bluff.

Demographics

Demographics Poplar bluff vs Hazel crest provide insight into the diversity of the communities to compare.

Demographic Poplar bluff Hazel crest
Black 10 92
White 79 -2
Asian Data is updating Data is updating
Hispanic 2 6
Two or More Races 8 4
American Indian 1 Data is updating

Demographics Comparison: Poplar bluff vs Hazel crest

  • In Hazel crest, the percentage of Black residents is higher at 92% compared to 10% in Poplar bluff.
  • Poplar bluff has a higher percentage of White residents at 79% compared to -2% in Hazel crest.
  • Both Poplar bluff and Hazel crest have the same percentage of Asian residents at 0%.
  • Hazel crest has a higher percentage of Hispanic residents at 6%, compared to 2% in Poplar bluff.
  • More residents identify as two or more races in Poplar bluff at 8% compared to 4% in Hazel crest.
  • A greater percentage of American Indian residents live in Poplar bluff at 1% compared to 0% in Hazel crest.

Health Statistics

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

Health Metric Poplar bluff Hazel crest
Mental Health Not Good 22.8% 15.1%
Physical Health Not Good 17.8% 11.1%
Depression 27.7% 14.9%
Smoking 31.5% 15.6%
Binge Drinking 15.3% 14.7%
Obesity 45.2% 39.1%
Disability Percentage 26.0% 14.0%

Health Statistics Comparison: Poplar bluff vs Hazel crest

  • More residents in Poplar bluff report poor mental health at 22.8% compared to 15.1% in Hazel crest.
  • Depression is more prevalent in Poplar bluff at 27.7% compared to 14.9% in Hazel crest.
  • Smoking is more prevalent in Poplar bluff at 31.5% compared to 15.6% in Hazel crest.
  • Binge drinking is more common in Poplar bluff at 15.3% compared to 14.7% in Hazel crest.
  • Obesity rates are higher in Poplar bluff at 45.2% compared to 39.1% in Hazel crest.
  • Disability percentages are higher in Poplar bluff at 26.0% compared to 14.0% in Hazel crest.

Education Levels

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

Education Level Poplar bluff Hazel crest
No Schooling 0.7% (118) 0.6% (79)
High School Diploma 23.2% (3,763) 15.8% (2,042)
Less than High School 21.1% (3,419) 4.9% (636)
Bachelor's Degree and Higher 8.8% (1,422) 18.6% (2,400)

Education Levels Comparison: Poplar bluff vs Hazel crest

  • A higher percentage of residents in Poplar bluff have no formal schooling at 0.7% compared to 0.6% in Hazel crest.
  • A higher percentage of residents in Poplar bluff hold a high school diploma at 23.2% compared to 15.8% in Hazel crest.
  • More residents in Poplar bluff have less than a high school education at 21.1% compared to 4.9% in Hazel crest.
  • In Hazel crest, a larger share of residents have a bachelor's degree or higher at 18.6% compared to 8.8% in Poplar bluff.

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.