Demographics details for Binford, ND vs Saint marys, WV

Population Overview

Compare main population characteristics in Binford, ND vs Saint marys, WV.

Data Binford Saint marys
Population 163 1,808
Median Age 42.5 years 40.5 years
Median Income $46,250 $53,125
Married Families 33.0% 52.0%
Poverty Level 10% 11%
Unemployment Rate 2.5 4.3

Population Comparison: Binford vs Saint marys

  • The population in Saint marys is higher at 1,808, compared to 163 in Binford.
  • Residents in Binford have a higher median age of 42.5 years compared to 40.5 years in Saint marys.
  • Saint marys has a higher median income of $53,125, compared to $46,250 in Binford.
  • In Saint marys, the percentage of married families is higher at 52.0%, compared to 33.0% in Binford.
  • The poverty level is higher in Saint marys at 11%, compared to 10% in Binford.
  • Saint marys has a higher unemployment rate at 4.3% compared to 2.5% in Binford.

Demographics

Demographics Binford vs Saint marys provide insight into the diversity of the communities to compare.

Demographic Binford Saint marys
Black Data is updating Data is updating
White 94 91
Asian Data is updating Data is updating
Hispanic 6 4
Two or More Races Data is updating 5
American Indian Data is updating Data is updating

Demographics Comparison: Binford vs Saint marys

  • The percentage of Black residents is the same in both Binford and Saint marys at 0%.
  • Binford has a higher percentage of White residents at 94% compared to 91% in Saint marys.
  • Both Binford and Saint marys have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Binford at 6% compared to 4% in Saint marys.
  • The percentage of residents identifying as two or more races is higher in Saint marys at 5%, compared to 0% in Binford.
  • The percentage of American Indian residents is the same in both Binford and Saint marys at 0%.

Health Statistics

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

Health Metric Binford Saint marys
Mental Health Not Good 14.3% 20.2%
Physical Health Not Good 9.8% 14.0%
Depression 20.1% 28.5%
Smoking 17.0% 22.0%
Binge Drinking 21.9% 14.5%
Obesity 40.0% 44.3%
Disability Percentage 10.0% 21.0%

Health Statistics Comparison: Binford vs Saint marys

  • In Saint marys, a higher percentage report poor mental health at 20.2% compared to 14.3% in Binford.
  • Higher depression rates are seen in Saint marys at 28.5% versus 20.1% in Binford.
  • Saint marys has a higher smoking rate at 22.0% compared to 17.0% in Binford.
  • Binge drinking is more common in Binford at 21.9% compared to 14.5% in Saint marys.
  • Saint marys has higher obesity rates at 44.3% compared to 40.0% in Binford.
  • There is a higher percentage of disabled individuals in Saint marys at 21.0% compared to 10.0% in Binford.

Education Levels

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

Education Level Binford Saint marys
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 23.9% (39) 34.4% (622)
Less than High School 11.0% (18) 15.7% (284)
Bachelor's Degree and Higher 17.2% (28) 15.0% (272)

Education Levels Comparison: Binford vs Saint marys

  • The percentage of residents with no formal schooling is the same in both Binford and Saint marys at 0.0%.
  • In Saint marys, the rate of residents with high school diplomas is higher at 34.4% compared to 23.9% in Binford.
  • The percentage of residents with less than a high school education is higher in Saint marys at 15.7%, compared to 11.0% in Binford.
  • A higher percentage of residents in Binford hold a bachelor's degree or higher at 17.2% compared to 15.0% in Saint marys.

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.