Demographics details for Mount olive, MS vs Lexington, NC

Population Overview

Compare main population characteristics in Mount olive, MS vs Lexington, NC.

Data Mount olive Lexington
Population 878 19,679
Median Age 31.7 years 38.6 years
Median Income $53,947 $36,868
Married Families 49.0% 31.0%
Poverty Level 18% 15%
Unemployment Rate 6.5 5.2

Population Comparison: Mount olive vs Lexington

  • The population in Lexington is higher at 19,679, compared to 878 in Mount olive.
  • The median age in Lexington is higher at 38.6 years, compared to 31.7 years in Mount olive.
  • Mount olive has a higher median income of $53,947 compared to $36,868 in Lexington.
  • A higher percentage of married families is found in Mount olive at 49.0% compared to 31.0% in Lexington.
  • Mount olive has a higher poverty level at 18% compared to 15% in Lexington.
  • The unemployment rate in Mount olive is higher at 6.5%, compared to 5.2% in Lexington.

Demographics

Demographics Mount olive vs Lexington provide insight into the diversity of the communities to compare.

Demographic Mount olive Lexington
Black 120 31
White 145 38
Asian 2 4
Hispanic Data is updating 16
Two or More Races Data is updating 11
American Indian Data is updating Data is updating

Demographics Comparison: Mount olive vs Lexington

  • A higher percentage of Black residents are in Mount olive at 120% compared to 31% in Lexington.
  • Mount olive has a higher percentage of White residents at 145% compared to 38% in Lexington.
  • In Lexington, the Asian population stands at 4%, greater than 2% in Mount olive.
  • Lexington has a higher percentage of Hispanic residents at 16%, compared to 0% in Mount olive.
  • The percentage of residents identifying as two or more races is higher in Lexington at 11%, compared to 0% in Mount olive.
  • The percentage of American Indian residents is the same in both Mount olive and Lexington at 0%.

Health Statistics

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

Health Metric Mount olive Lexington
Mental Health Not Good 17.8% 19.2%
Physical Health Not Good 13.3% 15.5%
Depression 21.5% 25.0%
Smoking 21.3% 24.1%
Binge Drinking 13.0% 13.8%
Obesity 43.6% 42.7%
Disability Percentage 27.0% 18.0%

Health Statistics Comparison: Mount olive vs Lexington

  • In Lexington, a higher percentage report poor mental health at 19.2% compared to 17.8% in Mount olive.
  • Higher depression rates are seen in Lexington at 25.0% versus 21.5% in Mount olive.
  • Lexington has a higher smoking rate at 24.1% compared to 21.3% in Mount olive.
  • More residents engage in binge drinking in Lexington at 13.8% compared to 13.0% in Mount olive.
  • Obesity rates are higher in Mount olive at 43.6% compared to 42.7% in Lexington.
  • Disability percentages are higher in Mount olive at 27.0% compared to 18.0% in Lexington.

Education Levels

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

Education Level Mount olive Lexington
No Schooling 2.3% (20) 2.7% (531)
High School Diploma 23.9% (210) 17.0% (3,355)
Less than High School 14.9% (131) 25.6% (5,036)
Bachelor's Degree and Higher 13.0% (114) 10.2% (2,009)

Education Levels Comparison: Mount olive vs Lexington

  • In Lexington, a larger percentage of residents lack formal schooling at 2.7% compared to 2.3% in Mount olive.
  • A higher percentage of residents in Mount olive hold a high school diploma at 23.9% compared to 17.0% in Lexington.
  • The percentage of residents with less than a high school education is higher in Lexington at 25.6%, compared to 14.9% in Mount olive.
  • A higher percentage of residents in Mount olive hold a bachelor's degree or higher at 13.0% compared to 10.2% in Lexington.

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.