Demographics details for Mountain home, ID vs Yadkinville, NC

Population Overview

Compare main population characteristics in Mountain home, ID vs Yadkinville, NC.

Data Mountain home Yadkinville
Population 16,469 2,997
Median Age 31.3 years 38.8 years
Median Income $53,108 $41,148
Married Families 36.0% 33.0%
Poverty Level 12% 15%
Unemployment Rate 3.1 4.5

Population Comparison: Mountain home vs Yadkinville

  • In Mountain home, the population is higher at 16,469, compared to 2,997 in Yadkinville.
  • The median age in Yadkinville is higher at 38.8 years, compared to 31.3 years in Mountain home.
  • Mountain home has a higher median income of $53,108 compared to $41,148 in Yadkinville.
  • A higher percentage of married families is found in Mountain home at 36.0% compared to 33.0% in Yadkinville.
  • The poverty level is higher in Yadkinville at 15%, compared to 12% in Mountain home.
  • Yadkinville has a higher unemployment rate at 4.5% compared to 3.1% in Mountain home.

Demographics

Demographics Mountain home vs Yadkinville provide insight into the diversity of the communities to compare.

Demographic Mountain home Yadkinville
Black 2 8
White 69 60
Asian 4 Data is updating
Hispanic 14 25
Two or More Races 9 7
American Indian 2 Data is updating

Demographics Comparison: Mountain home vs Yadkinville

  • In Yadkinville, the percentage of Black residents is higher at 8% compared to 2% in Mountain home.
  • Mountain home has a higher percentage of White residents at 69% compared to 60% in Yadkinville.
  • The Asian population is larger in Mountain home at 4% compared to 0% in Yadkinville.
  • Yadkinville has a higher percentage of Hispanic residents at 25%, compared to 14% in Mountain home.
  • More residents identify as two or more races in Mountain home at 9% compared to 7% in Yadkinville.
  • A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Yadkinville.

Health Statistics

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

Health Metric Mountain home Yadkinville
Mental Health Not Good 16.9% 16.5%
Physical Health Not Good 12.6% 11.8%
Depression 22.4% 23.9%
Smoking 18.3% 17.9%
Binge Drinking 15.8% 17.2%
Obesity 36.1% 36.8%
Disability Percentage 18.0% 15.0%

Health Statistics Comparison: Mountain home vs Yadkinville

  • More residents in Mountain home report poor mental health at 16.9% compared to 16.5% in Yadkinville.
  • Higher depression rates are seen in Yadkinville at 23.9% versus 22.4% in Mountain home.
  • Smoking is more prevalent in Mountain home at 18.3% compared to 17.9% in Yadkinville.
  • More residents engage in binge drinking in Yadkinville at 17.2% compared to 15.8% in Mountain home.
  • Yadkinville has higher obesity rates at 36.8% compared to 36.1% in Mountain home.
  • Disability percentages are higher in Mountain home at 18.0% compared to 15.0% in Yadkinville.

Education Levels

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

Education Level Mountain home Yadkinville
No Schooling 1.7% (273) 1.5% (44)
High School Diploma 16.3% (2,690) 23.9% (715)
Less than High School 12.8% (2,116) 17.5% (523)
Bachelor's Degree and Higher 10.4% (1,720) 8.1% (242)

Education Levels Comparison: Mountain home vs Yadkinville

  • A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 1.5% in Yadkinville.
  • In Yadkinville, the rate of residents with high school diplomas is higher at 23.9% compared to 16.3% in Mountain home.
  • The percentage of residents with less than a high school education is higher in Yadkinville at 17.5%, compared to 12.8% in Mountain home.
  • A higher percentage of residents in Mountain home hold a bachelor's degree or higher at 10.4% compared to 8.1% in Yadkinville.

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.