Demographics details for Poplar bluff, MO vs Gillette, NJ

Population Overview

Compare main population characteristics in Poplar bluff, MO vs Gillette, NJ.

Data Poplar bluff Gillette
Population 16,232 3,251
Median Age 36.0 years 41.0 years
Median Income $37,448 $145,000
Married Families 29.0% 62.0%
Poverty Level 15% 2%
Unemployment Rate 4.5 3.0

Population Comparison: Poplar bluff vs Gillette

  • In Poplar bluff, the population is higher at 16,232, compared to 3,251 in Gillette.
  • The median age in Gillette is higher at 41.0 years, compared to 36.0 years in Poplar bluff.
  • Gillette has a higher median income of $145,000, compared to $37,448 in Poplar bluff.
  • In Gillette, the percentage of married families is higher at 62.0%, compared to 29.0% in Poplar bluff.
  • Poplar bluff has a higher poverty level at 15% compared to 2% in Gillette.
  • The unemployment rate in Poplar bluff is higher at 4.5%, compared to 3.0% in Gillette.

Demographics

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

Demographic Poplar bluff Gillette
Black 10 1
White 79 90
Asian Data is updating 4
Hispanic 2 2
Two or More Races 8 3
American Indian 1 Data is updating

Demographics Comparison: Poplar bluff vs Gillette

  • A higher percentage of Black residents are in Poplar bluff at 10% compared to 1% in Gillette.
  • The percentage of White residents is higher in Gillette at 90% compared to 79% in Poplar bluff.
  • In Gillette, the Asian population stands at 4%, greater than 0% in Poplar bluff.
  • The percentage of Hispanic residents is the same in both Poplar bluff and Gillette at 2%.
  • More residents identify as two or more races in Poplar bluff at 8% compared to 3% in Gillette.
  • A greater percentage of American Indian residents live in Poplar bluff at 1% compared to 0% in Gillette.

Health Statistics

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

Health Metric Poplar bluff Gillette
Mental Health Not Good 22.8% Data is updating%
Physical Health Not Good 17.8% Data is updating%
Depression 27.7% Data is updating%
Smoking 31.5% Data is updating%
Binge Drinking 15.3% Data is updating%
Obesity 45.2% Data is updating%
Disability Percentage 26.0% Data is updating%

Health Statistics Comparison: Poplar bluff vs Gillette

  • More residents in Poplar bluff report poor mental health at 22.8% compared to 0.0% in Gillette.
  • Depression is more prevalent in Poplar bluff at 27.7% compared to 0.0% in Gillette.
  • Smoking is more prevalent in Poplar bluff at 31.5% compared to 0.0% in Gillette.
  • Binge drinking is more common in Poplar bluff at 15.3% compared to 0.0% in Gillette.
  • Obesity rates are higher in Poplar bluff at 45.2% compared to 0.0% in Gillette.
  • Disability percentages are higher in Poplar bluff at 26.0% compared to 0.0% in Gillette.

Education Levels

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

Education Level Poplar bluff Gillette
No Schooling 0.7% (118) 0.0% (Data is updating)
High School Diploma 23.2% (3,763) 0.0% (Data is updating)
Less than High School 21.1% (3,419) 0.0% (Data is updating)
Bachelor's Degree and Higher 8.8% (1,422) 0.0% (Data is updating)

Education Levels Comparison: Poplar bluff vs Gillette

  • A higher percentage of residents in Poplar bluff have no formal schooling at 0.7% compared to 0.0% in Gillette.
  • A higher percentage of residents in Poplar bluff hold a high school diploma at 23.2% compared to 0.0% in Gillette.
  • More residents in Poplar bluff have less than a high school education at 21.1% compared to 0.0% in Gillette.
  • A higher percentage of residents in Poplar bluff hold a bachelor's degree or higher at 8.8% compared to 0.0% in Gillette.

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.