Demographics details for Mountain home, AR vs Edgefield, SC

Population Overview

Compare main population characteristics in Mountain home, AR vs Edgefield, SC.

Data Mountain home Edgefield
Population 13,150 26,932
Median Age 41.8 years 42.9 years
Median Income $42,281 $60,033
Married Families 38.0% 38.0%
Poverty Level 14% 13%
Unemployment Rate 3.5 4.9

Population Comparison: Mountain home vs Edgefield

  • The population in Edgefield is higher at 26,932, compared to 13,150 in Mountain home.
  • The median age in Edgefield is higher at 42.9 years, compared to 41.8 years in Mountain home.
  • Edgefield has a higher median income of $60,033, compared to $42,281 in Mountain home.
  • The percentage of married families is the same in both Mountain home and Edgefield at 38.0%.
  • Mountain home has a higher poverty level at 14% compared to 13% in Edgefield.
  • Edgefield has a higher unemployment rate at 4.9% compared to 3.5% in Mountain home.

Demographics

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

Demographic Mountain home Edgefield
Black Data is updating 32
White 90 56
Asian 1 Data is updating
Hispanic 4 7
Two or More Races 4 5
American Indian 1 Data is updating

Demographics Comparison: Mountain home vs Edgefield

  • In Edgefield, the percentage of Black residents is higher at 32% compared to 0% in Mountain home.
  • Mountain home has a higher percentage of White residents at 90% compared to 56% in Edgefield.
  • The Asian population is larger in Mountain home at 1% compared to 0% in Edgefield.
  • Edgefield has a higher percentage of Hispanic residents at 7%, compared to 4% in Mountain home.
  • The percentage of residents identifying as two or more races is higher in Edgefield at 5%, compared to 4% in Mountain home.
  • A greater percentage of American Indian residents live in Mountain home at 1% compared to 0% in Edgefield.

Health Statistics

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

Health Metric Mountain home Edgefield
Mental Health Not Good 19.2% 18.1%
Physical Health Not Good 12.9% 13.1%
Depression 28.5% 20.3%
Smoking 21.1% 20.3%
Binge Drinking 16.3% 16.5%
Obesity 34.3% 36.7%
Disability Percentage 22.0% 14.0%

Health Statistics Comparison: Mountain home vs Edgefield

  • More residents in Mountain home report poor mental health at 19.2% compared to 18.1% in Edgefield.
  • Depression is more prevalent in Mountain home at 28.5% compared to 20.3% in Edgefield.
  • Smoking is more prevalent in Mountain home at 21.1% compared to 20.3% in Edgefield.
  • More residents engage in binge drinking in Edgefield at 16.5% compared to 16.3% in Mountain home.
  • Edgefield has higher obesity rates at 36.7% compared to 34.3% in Mountain home.
  • Disability percentages are higher in Mountain home at 22.0% compared to 14.0% in Edgefield.

Education Levels

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

Education Level Mountain home Edgefield
No Schooling 0.7% (87) 0.7% (199)
High School Diploma 16.9% (2,225) 19.2% (5,180)
Less than High School 14.2% (1,870) 18.3% (4,938)
Bachelor's Degree and Higher 15.0% (1,973) 14.1% (3,798)

Education Levels Comparison: Mountain home vs Edgefield

  • The percentage of residents with no formal schooling is the same in both Mountain home and Edgefield at 0.7%.
  • In Edgefield, the rate of residents with high school diplomas is higher at 19.2% compared to 16.9% in Mountain home.
  • The percentage of residents with less than a high school education is higher in Edgefield at 18.3%, compared to 14.2% in Mountain home.
  • A higher percentage of residents in Mountain home hold a bachelor's degree or higher at 15.0% compared to 14.1% in Edgefield.

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.