Demographics details for Red lodge, MT vs Bluefield, WV

Population Overview

Compare main population characteristics in Red lodge, MT vs Bluefield, WV.

Data Red lodge Bluefield
Population 2,510 9,408
Median Age 52.9 years 43.9 years
Median Income $39,472 $45,854
Married Families 39.0% 36.0%
Poverty Level 10% 12%
Unemployment Rate 2.5 3.1

Population Comparison: Red lodge vs Bluefield

  • The population in Bluefield is higher at 9,408, compared to 2,510 in Red lodge.
  • Residents in Red lodge have a higher median age of 52.9 years compared to 43.9 years in Bluefield.
  • Bluefield has a higher median income of $45,854, compared to $39,472 in Red lodge.
  • A higher percentage of married families is found in Red lodge at 39.0% compared to 36.0% in Bluefield.
  • The poverty level is higher in Bluefield at 12%, compared to 10% in Red lodge.
  • Bluefield has a higher unemployment rate at 3.1% compared to 2.5% in Red lodge.

Demographics

Demographics Red lodge vs Bluefield provide insight into the diversity of the communities to compare.

Demographic Red lodge Bluefield
Black 1 23
White 91 66
Asian 2 Data is updating
Hispanic 4 3
Two or More Races 2 8
American Indian Data is updating Data is updating

Demographics Comparison: Red lodge vs Bluefield

  • In Bluefield, the percentage of Black residents is higher at 23% compared to 1% in Red lodge.
  • Red lodge has a higher percentage of White residents at 91% compared to 66% in Bluefield.
  • The Asian population is larger in Red lodge at 2% compared to 0% in Bluefield.
  • The Hispanic community is larger in Red lodge at 4% compared to 3% in Bluefield.
  • The percentage of residents identifying as two or more races is higher in Bluefield at 8%, compared to 2% in Red lodge.
  • The percentage of American Indian residents is the same in both Red lodge and Bluefield at 0%.

Health Statistics

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

Health Metric Red lodge Bluefield
Mental Health Not Good 14.8% 22.1%
Physical Health Not Good 9.4% 15.9%
Depression 22.8% 28.4%
Smoking 14.1% 21.4%
Binge Drinking 23.2% 12.0%
Obesity 30.5% 46.3%
Disability Percentage 16.0% 27.0%

Health Statistics Comparison: Red lodge vs Bluefield

  • In Bluefield, a higher percentage report poor mental health at 22.1% compared to 14.8% in Red lodge.
  • Higher depression rates are seen in Bluefield at 28.4% versus 22.8% in Red lodge.
  • Bluefield has a higher smoking rate at 21.4% compared to 14.1% in Red lodge.
  • Binge drinking is more common in Red lodge at 23.2% compared to 12.0% in Bluefield.
  • Bluefield has higher obesity rates at 46.3% compared to 30.5% in Red lodge.
  • There is a higher percentage of disabled individuals in Bluefield at 27.0% compared to 16.0% in Red lodge.

Education Levels

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

Education Level Red lodge Bluefield
No Schooling 0.2% (4) 0.2% (21)
High School Diploma 16.9% (423) 19.0% (1,788)
Less than High School 2.0% (50) 16.0% (1,505)
Bachelor's Degree and Higher 31.4% (787) 19.4% (1,826)

Education Levels Comparison: Red lodge vs Bluefield

  • The percentage of residents with no formal schooling is the same in both Red lodge and Bluefield at 0.2%.
  • In Bluefield, the rate of residents with high school diplomas is higher at 19.0% compared to 16.9% in Red lodge.
  • The percentage of residents with less than a high school education is higher in Bluefield at 16.0%, compared to 2.0% in Red lodge.
  • A higher percentage of residents in Red lodge hold a bachelor's degree or higher at 31.4% compared to 19.4% in Bluefield.

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.