Demographics details for Farmington, WV vs Mount pleasant, SC

Population Overview

Compare main population characteristics in Farmington, WV vs Mount pleasant, SC.

Data Farmington Mount pleasant
Population 397 94,545
Median Age 37.1 years 42.4 years
Median Income $54,750 $115,167
Married Families 44.0% 47.0%
Poverty Level 10% 5%
Unemployment Rate 5.0 3.2

Population Comparison: Farmington vs Mount pleasant

  • The population in Mount pleasant is higher at 94,545, compared to 397 in Farmington.
  • The median age in Mount pleasant is higher at 42.4 years, compared to 37.1 years in Farmington.
  • Mount pleasant has a higher median income of $115,167, compared to $54,750 in Farmington.
  • In Mount pleasant, the percentage of married families is higher at 47.0%, compared to 44.0% in Farmington.
  • Farmington has a higher poverty level at 10% compared to 5% in Mount pleasant.
  • The unemployment rate in Farmington is higher at 5.0%, compared to 3.2% in Mount pleasant.

Demographics

Demographics Farmington vs Mount pleasant provide insight into the diversity of the communities to compare.

Demographic Farmington Mount pleasant
Black Data is updating 4
White 100 90
Asian Data is updating 2
Hispanic Data is updating 2
Two or More Races Data is updating 2
American Indian Data is updating Data is updating

Demographics Comparison: Farmington vs Mount pleasant

  • In Mount pleasant, the percentage of Black residents is higher at 4% compared to 0% in Farmington.
  • Farmington has a higher percentage of White residents at 100% compared to 90% in Mount pleasant.
  • In Mount pleasant, the Asian population stands at 2%, greater than 0% in Farmington.
  • Mount pleasant has a higher percentage of Hispanic residents at 2%, compared to 0% in Farmington.
  • The percentage of residents identifying as two or more races is higher in Mount pleasant at 2%, compared to 0% in Farmington.
  • The percentage of American Indian residents is the same in both Farmington and Mount pleasant at 0%.

Health Statistics

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

Health Metric Farmington Mount pleasant
Mental Health Not Good 20.6% 13.7%
Physical Health Not Good 14.8% 7.6%
Depression 28.3% 19.5%
Smoking 24.2% 9.8%
Binge Drinking 14.9% 25.5%
Obesity 39.5% 26.9%
Disability Percentage 16.0% 6.0%

Health Statistics Comparison: Farmington vs Mount pleasant

  • More residents in Farmington report poor mental health at 20.6% compared to 13.7% in Mount pleasant.
  • Depression is more prevalent in Farmington at 28.3% compared to 19.5% in Mount pleasant.
  • Smoking is more prevalent in Farmington at 24.2% compared to 9.8% in Mount pleasant.
  • More residents engage in binge drinking in Mount pleasant at 25.5% compared to 14.9% in Farmington.
  • Obesity rates are higher in Farmington at 39.5% compared to 26.9% in Mount pleasant.
  • Disability percentages are higher in Farmington at 16.0% compared to 6.0% in Mount pleasant.

Education Levels

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

Education Level Farmington Mount pleasant
No Schooling 0.0% (Data is updating) 0.3% (259)
High School Diploma 31.5% (125) 5.8% (5,499)
Less than High School 8.1% (32) 2.7% (2,577)
Bachelor's Degree and Higher 9.8% (39) 46.2% (43,679)

Education Levels Comparison: Farmington vs Mount pleasant

  • In Mount pleasant, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Farmington.
  • A higher percentage of residents in Farmington hold a high school diploma at 31.5% compared to 5.8% in Mount pleasant.
  • More residents in Farmington have less than a high school education at 8.1% compared to 2.7% in Mount pleasant.
  • In Mount pleasant, a larger share of residents have a bachelor's degree or higher at 46.2% compared to 9.8% in Farmington.

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.