Demographics details for Bowling green, MO vs Dardanelle, AR

Population Overview

Compare main population characteristics in Bowling green, MO vs Dardanelle, AR.

Data Bowling green Dardanelle
Population 4,143 4,518
Median Age 36.1 years 37.9 years
Median Income $44,338 $47,724
Married Families 28.0% 41.0%
Poverty Level 11% 19%
Unemployment Rate 3.5 5.7

Population Comparison: Bowling green vs Dardanelle

  • The population in Dardanelle is higher at 4,518, compared to 4,143 in Bowling green.
  • The median age in Dardanelle is higher at 37.9 years, compared to 36.1 years in Bowling green.
  • Dardanelle has a higher median income of $47,724, compared to $44,338 in Bowling green.
  • In Dardanelle, the percentage of married families is higher at 41.0%, compared to 28.0% in Bowling green.
  • The poverty level is higher in Dardanelle at 19%, compared to 11% in Bowling green.
  • Dardanelle has a higher unemployment rate at 5.7% compared to 3.5% in Bowling green.

Demographics

Demographics Bowling green vs Dardanelle provide insight into the diversity of the communities to compare.

Demographic Bowling green Dardanelle
Black 12 8
White 80 50
Asian 1 Data is updating
Hispanic 1 40
Two or More Races 4 2
American Indian 2 Data is updating

Demographics Comparison: Bowling green vs Dardanelle

  • A higher percentage of Black residents are in Bowling green at 12% compared to 8% in Dardanelle.
  • Bowling green has a higher percentage of White residents at 80% compared to 50% in Dardanelle.
  • The Asian population is larger in Bowling green at 1% compared to 0% in Dardanelle.
  • Dardanelle has a higher percentage of Hispanic residents at 40%, compared to 1% in Bowling green.
  • More residents identify as two or more races in Bowling green at 4% compared to 2% in Dardanelle.
  • A greater percentage of American Indian residents live in Bowling green at 2% compared to 0% in Dardanelle.

Health Statistics

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

Health Metric Bowling green Dardanelle
Mental Health Not Good 17.4% 19.2%
Physical Health Not Good 14.2% 14.9%
Depression 20.6% 26.3%
Smoking 24.8% 22.1%
Binge Drinking 18.5% 14.0%
Obesity 43.9% 37.5%
Disability Percentage 16.0% 21.0%

Health Statistics Comparison: Bowling green vs Dardanelle

  • In Dardanelle, a higher percentage report poor mental health at 19.2% compared to 17.4% in Bowling green.
  • Higher depression rates are seen in Dardanelle at 26.3% versus 20.6% in Bowling green.
  • Smoking is more prevalent in Bowling green at 24.8% compared to 22.1% in Dardanelle.
  • Binge drinking is more common in Bowling green at 18.5% compared to 14.0% in Dardanelle.
  • Obesity rates are higher in Bowling green at 43.9% compared to 37.5% in Dardanelle.
  • There is a higher percentage of disabled individuals in Dardanelle at 21.0% compared to 16.0% in Bowling green.

Education Levels

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

Education Level Bowling green Dardanelle
No Schooling 0.5% (21) 2.1% (94)
High School Diploma 28.0% (1,159) 16.5% (745)
Less than High School 23.0% (951) 36.0% (1,626)
Bachelor's Degree and Higher 9.4% (389) 7.7% (346)

Education Levels Comparison: Bowling green vs Dardanelle

  • In Dardanelle, a larger percentage of residents lack formal schooling at 2.1% compared to 0.5% in Bowling green.
  • A higher percentage of residents in Bowling green hold a high school diploma at 28.0% compared to 16.5% in Dardanelle.
  • The percentage of residents with less than a high school education is higher in Dardanelle at 36.0%, compared to 23.0% in Bowling green.
  • A higher percentage of residents in Bowling green hold a bachelor's degree or higher at 9.4% compared to 7.7% in Dardanelle.

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.