Demographics details for Broken bow, NE vs Madisonville, KY

Population Overview

Compare main population characteristics in Broken bow, NE vs Madisonville, KY.

Data Broken bow Madisonville
Population 3,474 19,214
Median Age 41.4 years 37.3 years
Median Income $49,425 $54,234
Married Families 40.0% 37.0%
Poverty Level 11% 14%
Unemployment Rate 2.5 3.5

Population Comparison: Broken bow vs Madisonville

  • The population in Madisonville is higher at 19,214, compared to 3,474 in Broken bow.
  • Residents in Broken bow have a higher median age of 41.4 years compared to 37.3 years in Madisonville.
  • Madisonville has a higher median income of $54,234, compared to $49,425 in Broken bow.
  • A higher percentage of married families is found in Broken bow at 40.0% compared to 37.0% in Madisonville.
  • The poverty level is higher in Madisonville at 14%, compared to 11% in Broken bow.
  • Madisonville has a higher unemployment rate at 3.5% compared to 2.5% in Broken bow.

Demographics

Demographics Broken bow vs Madisonville provide insight into the diversity of the communities to compare.

Demographic Broken bow Madisonville
Black 2 12
White 88 75
Asian Data is updating 1
Hispanic 6 4
Two or More Races 4 7
American Indian Data is updating 1

Demographics Comparison: Broken bow vs Madisonville

  • In Madisonville, the percentage of Black residents is higher at 12% compared to 2% in Broken bow.
  • Broken bow has a higher percentage of White residents at 88% compared to 75% in Madisonville.
  • In Madisonville, the Asian population stands at 1%, greater than 0% in Broken bow.
  • The Hispanic community is larger in Broken bow at 6% compared to 4% in Madisonville.
  • The percentage of residents identifying as two or more races is higher in Madisonville at 7%, compared to 4% in Broken bow.
  • In Madisonville, the percentage of American Indian residents is higher at 1%, compared to 0% in Broken bow.

Health Statistics

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

Health Metric Broken bow Madisonville
Mental Health Not Good 14.2% 19.6%
Physical Health Not Good 10.0% 14.9%
Depression 17.1% 27.8%
Smoking 16.3% 23.8%
Binge Drinking 20.7% 14.3%
Obesity 38.2% 41.7%
Disability Percentage 19.0% 21.0%

Health Statistics Comparison: Broken bow vs Madisonville

  • In Madisonville, a higher percentage report poor mental health at 19.6% compared to 14.2% in Broken bow.
  • Higher depression rates are seen in Madisonville at 27.8% versus 17.1% in Broken bow.
  • Madisonville has a higher smoking rate at 23.8% compared to 16.3% in Broken bow.
  • Binge drinking is more common in Broken bow at 20.7% compared to 14.3% in Madisonville.
  • Madisonville has higher obesity rates at 41.7% compared to 38.2% in Broken bow.
  • There is a higher percentage of disabled individuals in Madisonville at 21.0% compared to 19.0% in Broken bow.

Education Levels

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

Education Level Broken bow Madisonville
No Schooling 1.2% (42) 0.7% (126)
High School Diploma 19.8% (689) 18.4% (3,529)
Less than High School 7.3% (253) 13.0% (2,491)
Bachelor's Degree and Higher 14.7% (512) 14.0% (2,694)

Education Levels Comparison: Broken bow vs Madisonville

  • A higher percentage of residents in Broken bow have no formal schooling at 1.2% compared to 0.7% in Madisonville.
  • A higher percentage of residents in Broken bow hold a high school diploma at 19.8% compared to 18.4% in Madisonville.
  • The percentage of residents with less than a high school education is higher in Madisonville at 13.0%, compared to 7.3% in Broken bow.
  • A higher percentage of residents in Broken bow hold a bachelor's degree or higher at 14.7% compared to 14.0% in Madisonville.

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.