Demographics details for Harlowton, MT vs Christiansburg, VA

Population Overview

Compare main population characteristics in Harlowton, MT vs Christiansburg, VA.

Data Harlowton Christiansburg
Population 933 22,562
Median Age 50.7 years 39.1 years
Median Income $55,536 $71,468
Married Families 50.0% 45.0%
Poverty Level 15% 9%
Unemployment Rate 3.0 3.2

Population Comparison: Harlowton vs Christiansburg

  • The population in Christiansburg is higher at 22,562, compared to 933 in Harlowton.
  • Residents in Harlowton have a higher median age of 50.7 years compared to 39.1 years in Christiansburg.
  • Christiansburg has a higher median income of $71,468, compared to $55,536 in Harlowton.
  • A higher percentage of married families is found in Harlowton at 50.0% compared to 45.0% in Christiansburg.
  • Harlowton has a higher poverty level at 15% compared to 9% in Christiansburg.
  • Christiansburg has a higher unemployment rate at 3.2% compared to 3.0% in Harlowton.

Demographics

Demographics Harlowton vs Christiansburg provide insight into the diversity of the communities to compare.

Demographic Harlowton Christiansburg
Black Data is updating 5
White 90 84
Asian Data is updating 4
Hispanic 5 3
Two or More Races 1 4
American Indian 4 Data is updating

Demographics Comparison: Harlowton vs Christiansburg

  • In Christiansburg, the percentage of Black residents is higher at 5% compared to 0% in Harlowton.
  • Harlowton has a higher percentage of White residents at 90% compared to 84% in Christiansburg.
  • In Christiansburg, the Asian population stands at 4%, greater than 0% in Harlowton.
  • The Hispanic community is larger in Harlowton at 5% compared to 3% in Christiansburg.
  • The percentage of residents identifying as two or more races is higher in Christiansburg at 4%, compared to 1% in Harlowton.
  • A greater percentage of American Indian residents live in Harlowton at 4% compared to 0% in Christiansburg.

Health Statistics

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

Health Metric Harlowton Christiansburg
Mental Health Not Good 18.1% 16.1%
Physical Health Not Good 12.9% 9.9%
Depression 25.7% 25.8%
Smoking 21.4% 14.4%
Binge Drinking 21.7% 19.2%
Obesity 36.0% 30.3%
Disability Percentage 16.0% 17.0%

Health Statistics Comparison: Harlowton vs Christiansburg

  • More residents in Harlowton report poor mental health at 18.1% compared to 16.1% in Christiansburg.
  • Higher depression rates are seen in Christiansburg at 25.8% versus 25.7% in Harlowton.
  • Smoking is more prevalent in Harlowton at 21.4% compared to 14.4% in Christiansburg.
  • Binge drinking is more common in Harlowton at 21.7% compared to 19.2% in Christiansburg.
  • Obesity rates are higher in Harlowton at 36.0% compared to 30.3% in Christiansburg.
  • There is a higher percentage of disabled individuals in Christiansburg at 17.0% compared to 16.0% in Harlowton.

Education Levels

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

Education Level Harlowton Christiansburg
No Schooling 0.5% (5) 0.3% (66)
High School Diploma 30.1% (281) 14.0% (3,152)
Less than High School 17.0% (159) 8.1% (1,827)
Bachelor's Degree and Higher 10.6% (99) 31.9% (7,193)

Education Levels Comparison: Harlowton vs Christiansburg

  • A higher percentage of residents in Harlowton have no formal schooling at 0.5% compared to 0.3% in Christiansburg.
  • A higher percentage of residents in Harlowton hold a high school diploma at 30.1% compared to 14.0% in Christiansburg.
  • More residents in Harlowton have less than a high school education at 17.0% compared to 8.1% in Christiansburg.
  • In Christiansburg, a larger share of residents have a bachelor's degree or higher at 31.9% compared to 10.6% in Harlowton.

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.