Demographics details for Zionsville, IN vs Poplar bluff, MO

Population Overview

Compare main population characteristics in Zionsville, IN vs Poplar bluff, MO.

Data Zionsville Poplar bluff
Population 31,982 16,232
Median Age 41.8 years 36.0 years
Median Income $152,788 $37,448
Married Families 54.0% 29.0%
Poverty Level Data is updating 15%
Unemployment Rate 3.6 4.5

Population Comparison: Zionsville vs Poplar bluff

  • In Zionsville, the population is higher at 31,982, compared to 16,232 in Poplar bluff.
  • Residents in Zionsville have a higher median age of 41.8 years compared to 36.0 years in Poplar bluff.
  • Zionsville has a higher median income of $152,788 compared to $37,448 in Poplar bluff.
  • A higher percentage of married families is found in Zionsville at 54.0% compared to 29.0% in Poplar bluff.
  • The poverty level is higher in Poplar bluff at 15%, compared to 0% in Zionsville.
  • Poplar bluff has a higher unemployment rate at 4.5% compared to 3.6% in Zionsville.

Demographics

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

Demographic Zionsville Poplar bluff
Black 2 10
White 87 79
Asian 5 Data is updating
Hispanic 3 2
Two or More Races 3 8
American Indian Data is updating 1

Demographics Comparison: Zionsville vs Poplar bluff

  • In Poplar bluff, the percentage of Black residents is higher at 10% compared to 2% in Zionsville.
  • Zionsville has a higher percentage of White residents at 87% compared to 79% in Poplar bluff.
  • The Asian population is larger in Zionsville at 5% compared to 0% in Poplar bluff.
  • The Hispanic community is larger in Zionsville at 3% compared to 2% in Poplar bluff.
  • The percentage of residents identifying as two or more races is higher in Poplar bluff at 8%, compared to 3% in Zionsville.
  • In Poplar bluff, the percentage of American Indian residents is higher at 1%, compared to 0% in Zionsville.

Health Statistics

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

Health Metric Zionsville Poplar bluff
Mental Health Not Good 12.8% 22.8%
Physical Health Not Good 7.5% 17.8%
Depression 21.6% 27.7%
Smoking 10.0% 31.5%
Binge Drinking 18.3% 15.3%
Obesity 32.1% 45.2%
Disability Percentage 6.0% 26.0%

Health Statistics Comparison: Zionsville vs Poplar bluff

  • In Poplar bluff, a higher percentage report poor mental health at 22.8% compared to 12.8% in Zionsville.
  • Higher depression rates are seen in Poplar bluff at 27.7% versus 21.6% in Zionsville.
  • Poplar bluff has a higher smoking rate at 31.5% compared to 10.0% in Zionsville.
  • Binge drinking is more common in Zionsville at 18.3% compared to 15.3% in Poplar bluff.
  • Poplar bluff has higher obesity rates at 45.2% compared to 32.1% in Zionsville.
  • There is a higher percentage of disabled individuals in Poplar bluff at 26.0% compared to 6.0% in Zionsville.

Education Levels

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

Education Level Zionsville Poplar bluff
No Schooling 0.2% (70) 0.7% (118)
High School Diploma 6.3% (2,001) 23.2% (3,763)
Less than High School 2.4% (782) 21.1% (3,419)
Bachelor's Degree and Higher 45.4% (14,533) 8.8% (1,422)

Education Levels Comparison: Zionsville vs Poplar bluff

  • In Poplar bluff, a larger percentage of residents lack formal schooling at 0.7% compared to 0.2% in Zionsville.
  • In Poplar bluff, the rate of residents with high school diplomas is higher at 23.2% compared to 6.3% in Zionsville.
  • The percentage of residents with less than a high school education is higher in Poplar bluff at 21.1%, compared to 2.4% in Zionsville.
  • A higher percentage of residents in Zionsville hold a bachelor's degree or higher at 45.4% 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.