Demographics details for Martinsburg, WV vs Davenport, IA

Population Overview

Compare main population characteristics in Martinsburg, WV vs Davenport, IA.

Data Martinsburg Davenport
Population 18,953 100,486
Median Age 36.4 years 37.4 years
Median Income $55,240 $59,890
Married Families 29.0% 36.0%
Poverty Level 8% 11%
Unemployment Rate 4.5 4.3

Population Comparison: Martinsburg vs Davenport

  • The population in Davenport is higher at 100,486, compared to 18,953 in Martinsburg.
  • The median age in Davenport is higher at 37.4 years, compared to 36.4 years in Martinsburg.
  • Davenport has a higher median income of $59,890, compared to $55,240 in Martinsburg.
  • In Davenport, the percentage of married families is higher at 36.0%, compared to 29.0% in Martinsburg.
  • The poverty level is higher in Davenport at 11%, compared to 8% in Martinsburg.
  • The unemployment rate in Martinsburg is higher at 4.5%, compared to 4.3% in Davenport.

Demographics

Demographics Martinsburg vs Davenport provide insight into the diversity of the communities to compare.

Demographic Martinsburg Davenport
Black 13 11
White 69 70
Asian 1 2
Hispanic 6 9
Two or More Races 11 8
American Indian Data is updating Data is updating

Demographics Comparison: Martinsburg vs Davenport

  • A higher percentage of Black residents are in Martinsburg at 13% compared to 11% in Davenport.
  • The percentage of White residents is higher in Davenport at 70% compared to 69% in Martinsburg.
  • In Davenport, the Asian population stands at 2%, greater than 1% in Martinsburg.
  • Davenport has a higher percentage of Hispanic residents at 9%, compared to 6% in Martinsburg.
  • More residents identify as two or more races in Martinsburg at 11% compared to 8% in Davenport.
  • The percentage of American Indian residents is the same in both Martinsburg and Davenport at 0%.

Health Statistics

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

Health Metric Martinsburg Davenport
Mental Health Not Good 21.8% 16.2%
Physical Health Not Good 15.8% 10.4%
Depression 27.7% 18.6%
Smoking 24.7% 19.9%
Binge Drinking 12.6% 20.0%
Obesity 43.0% 39.6%
Disability Percentage 17.0% 13.0%

Health Statistics Comparison: Martinsburg vs Davenport

  • More residents in Martinsburg report poor mental health at 21.8% compared to 16.2% in Davenport.
  • Depression is more prevalent in Martinsburg at 27.7% compared to 18.6% in Davenport.
  • Smoking is more prevalent in Martinsburg at 24.7% compared to 19.9% in Davenport.
  • More residents engage in binge drinking in Davenport at 20.0% compared to 12.6% in Martinsburg.
  • Obesity rates are higher in Martinsburg at 43.0% compared to 39.6% in Davenport.
  • Disability percentages are higher in Martinsburg at 17.0% compared to 13.0% in Davenport.

Education Levels

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

Education Level Martinsburg Davenport
No Schooling 0.8% (144) 0.6% (602)
High School Diploma 16.7% (3,171) 16.5% (16,537)
Less than High School 13.5% (2,556) 9.5% (9,588)
Bachelor's Degree and Higher 16.2% (3,077) 19.7% (19,748)

Education Levels Comparison: Martinsburg vs Davenport

  • A higher percentage of residents in Martinsburg have no formal schooling at 0.8% compared to 0.6% in Davenport.
  • A higher percentage of residents in Martinsburg hold a high school diploma at 16.7% compared to 16.5% in Davenport.
  • More residents in Martinsburg have less than a high school education at 13.5% compared to 9.5% in Davenport.
  • In Davenport, a larger share of residents have a bachelor's degree or higher at 19.7% compared to 16.2% in Martinsburg.

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.