Demographics details for Abbeville, AL vs Mount pleasant, SC

Population Overview

Compare main population characteristics in Abbeville, AL vs Mount pleasant, SC.

Data Abbeville Mount pleasant
Population 2,366 94,545
Median Age 56.0 years 42.4 years
Median Income $35,147 $115,167
Married Families 29.0% 47.0%
Poverty Level 15% 5%
Unemployment Rate 4.6 3.2

Population Comparison: Abbeville vs Mount pleasant

  • The population in Mount pleasant is higher at 94,545, compared to 2,366 in Abbeville.
  • Residents in Abbeville have a higher median age of 56.0 years compared to 42.4 years in Mount pleasant.
  • Mount pleasant has a higher median income of $115,167, compared to $35,147 in Abbeville.
  • In Mount pleasant, the percentage of married families is higher at 47.0%, compared to 29.0% in Abbeville.
  • Abbeville has a higher poverty level at 15% compared to 5% in Mount pleasant.
  • The unemployment rate in Abbeville is higher at 4.6%, compared to 3.2% in Mount pleasant.

Demographics

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

Demographic Abbeville Mount pleasant
Black 41 4
White 55 90
Asian Data is updating 2
Hispanic 3 2
Two or More Races 1 2
American Indian Data is updating Data is updating

Demographics Comparison: Abbeville vs Mount pleasant

  • A higher percentage of Black residents are in Abbeville at 41% compared to 4% in Mount pleasant.
  • The percentage of White residents is higher in Mount pleasant at 90% compared to 55% in Abbeville.
  • In Mount pleasant, the Asian population stands at 2%, greater than 0% in Abbeville.
  • The Hispanic community is larger in Abbeville at 3% compared to 2% in Mount pleasant.
  • The percentage of residents identifying as two or more races is higher in Mount pleasant at 2%, compared to 1% in Abbeville.
  • The percentage of American Indian residents is the same in both Abbeville and Mount pleasant at 0%.

Health Statistics

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

Health Metric Abbeville Mount pleasant
Mental Health Not Good 20.7% 13.7%
Physical Health Not Good 15.2% 7.6%
Depression 22.9% 19.5%
Smoking 23.0% 9.8%
Binge Drinking 13.2% 25.5%
Obesity 42.3% 26.9%
Disability Percentage 21.0% 6.0%

Health Statistics Comparison: Abbeville vs Mount pleasant

  • More residents in Abbeville report poor mental health at 20.7% compared to 13.7% in Mount pleasant.
  • Depression is more prevalent in Abbeville at 22.9% compared to 19.5% in Mount pleasant.
  • Smoking is more prevalent in Abbeville at 23.0% compared to 9.8% in Mount pleasant.
  • More residents engage in binge drinking in Mount pleasant at 25.5% compared to 13.2% in Abbeville.
  • Obesity rates are higher in Abbeville at 42.3% compared to 26.9% in Mount pleasant.
  • Disability percentages are higher in Abbeville at 21.0% 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 Abbeville Mount pleasant
No Schooling 0.7% (16) 0.3% (259)
High School Diploma 21.1% (499) 5.8% (5,499)
Less than High School 22.4% (530) 2.7% (2,577)
Bachelor's Degree and Higher 16.7% (394) 46.2% (43,679)

Education Levels Comparison: Abbeville vs Mount pleasant

  • A higher percentage of residents in Abbeville have no formal schooling at 0.7% compared to 0.3% in Mount pleasant.
  • A higher percentage of residents in Abbeville hold a high school diploma at 21.1% compared to 5.8% in Mount pleasant.
  • More residents in Abbeville have less than a high school education at 22.4% 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 16.7% in Abbeville.

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.