Demographics details for Westmoreland, TN vs Hope mills, NC

Population Overview

Compare main population characteristics in Westmoreland, TN vs Hope mills, NC.

Data Westmoreland Hope mills
Population 2,757 17,824
Median Age 36.8 years 32.5 years
Median Income $58,194 $57,864
Married Families 40.0% 34.0%
Poverty Level 8% 10%
Unemployment Rate 3.5 4.2

Population Comparison: Westmoreland vs Hope mills

  • The population in Hope mills is higher at 17,824, compared to 2,757 in Westmoreland.
  • Residents in Westmoreland have a higher median age of 36.8 years compared to 32.5 years in Hope mills.
  • Westmoreland has a higher median income of $58,194 compared to $57,864 in Hope mills.
  • A higher percentage of married families is found in Westmoreland at 40.0% compared to 34.0% in Hope mills.
  • The poverty level is higher in Hope mills at 10%, compared to 8% in Westmoreland.
  • Hope mills has a higher unemployment rate at 4.2% compared to 3.5% in Westmoreland.

Demographics

Demographics Westmoreland vs Hope mills provide insight into the diversity of the communities to compare.

Demographic Westmoreland Hope mills
Black Data is updating 34
White 92 35
Asian Data is updating 1
Hispanic 2 15
Two or More Races 6 13
American Indian Data is updating 2

Demographics Comparison: Westmoreland vs Hope mills

  • In Hope mills, the percentage of Black residents is higher at 34% compared to 0% in Westmoreland.
  • Westmoreland has a higher percentage of White residents at 92% compared to 35% in Hope mills.
  • In Hope mills, the Asian population stands at 1%, greater than 0% in Westmoreland.
  • Hope mills has a higher percentage of Hispanic residents at 15%, compared to 2% in Westmoreland.
  • The percentage of residents identifying as two or more races is higher in Hope mills at 13%, compared to 6% in Westmoreland.
  • In Hope mills, the percentage of American Indian residents is higher at 2%, compared to 0% in Westmoreland.

Health Statistics

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

Health Metric Westmoreland Hope mills
Mental Health Not Good 21.8% 17.6%
Physical Health Not Good 15.7% 11.9%
Depression 31.4% 25.9%
Smoking 26.7% 17.5%
Binge Drinking 14.6% 17.6%
Obesity 38.6% 38.5%
Disability Percentage 15.0% 16.0%

Health Statistics Comparison: Westmoreland vs Hope mills

  • More residents in Westmoreland report poor mental health at 21.8% compared to 17.6% in Hope mills.
  • Depression is more prevalent in Westmoreland at 31.4% compared to 25.9% in Hope mills.
  • Smoking is more prevalent in Westmoreland at 26.7% compared to 17.5% in Hope mills.
  • More residents engage in binge drinking in Hope mills at 17.6% compared to 14.6% in Westmoreland.
  • Obesity rates are higher in Westmoreland at 38.6% compared to 38.5% in Hope mills.
  • There is a higher percentage of disabled individuals in Hope mills at 16.0% compared to 15.0% in Westmoreland.

Education Levels

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

Education Level Westmoreland Hope mills
No Schooling 0.4% (10) 0.4% (68)
High School Diploma 25.0% (690) 14.7% (2,614)
Less than High School 20.9% (577) 6.9% (1,237)
Bachelor's Degree and Higher 6.3% (173) 13.7% (2,437)

Education Levels Comparison: Westmoreland vs Hope mills

  • The percentage of residents with no formal schooling is the same in both Westmoreland and Hope mills at 0.4%.
  • A higher percentage of residents in Westmoreland hold a high school diploma at 25.0% compared to 14.7% in Hope mills.
  • More residents in Westmoreland have less than a high school education at 20.9% compared to 6.9% in Hope mills.
  • In Hope mills, a larger share of residents have a bachelor's degree or higher at 13.7% compared to 6.3% in Westmoreland.

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.