Demographics details for Mount olive, MS vs Bernice, LA

Population Overview

Compare main population characteristics in Mount olive, MS vs Bernice, LA.

Data Mount olive Bernice
Population 878 1,319
Median Age 31.7 years 40.5 years
Median Income $53,947 $24,375
Married Families 49.0% 23.0%
Poverty Level 18% 21%
Unemployment Rate 6.5 5.2

Population Comparison: Mount olive vs Bernice

  • The population in Bernice is higher at 1,319, compared to 878 in Mount olive.
  • The median age in Bernice is higher at 40.5 years, compared to 31.7 years in Mount olive.
  • Mount olive has a higher median income of $53,947 compared to $24,375 in Bernice.
  • A higher percentage of married families is found in Mount olive at 49.0% compared to 23.0% in Bernice.
  • The poverty level is higher in Bernice at 21%, compared to 18% in Mount olive.
  • The unemployment rate in Mount olive is higher at 6.5%, compared to 5.2% in Bernice.

Demographics

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

Demographic Mount olive Bernice
Black 120 62
White 145 22
Asian 2 Data is updating
Hispanic Data is updating 16
Two or More Races Data is updating Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Mount olive vs Bernice

  • A higher percentage of Black residents are in Mount olive at 120% compared to 62% in Bernice.
  • Mount olive has a higher percentage of White residents at 145% compared to 22% in Bernice.
  • The Asian population is larger in Mount olive at 2% compared to 0% in Bernice.
  • Bernice has a higher percentage of Hispanic residents at 16%, compared to 0% in Mount olive.
  • Both Mount olive and Bernice have the same percentage of residents identifying as two or more races at 0%.
  • The percentage of American Indian residents is the same in both Mount olive and Bernice at 0%.

Health Statistics

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

Health Metric Mount olive Bernice
Mental Health Not Good 17.8% 19.4%
Physical Health Not Good 13.3% 14.2%
Depression 21.5% 22.7%
Smoking 21.3% 22.8%
Binge Drinking 13.0% 15.6%
Obesity 43.6% 45.8%
Disability Percentage 27.0% 18.0%

Health Statistics Comparison: Mount olive vs Bernice

  • In Bernice, a higher percentage report poor mental health at 19.4% compared to 17.8% in Mount olive.
  • Higher depression rates are seen in Bernice at 22.7% versus 21.5% in Mount olive.
  • Bernice has a higher smoking rate at 22.8% compared to 21.3% in Mount olive.
  • More residents engage in binge drinking in Bernice at 15.6% compared to 13.0% in Mount olive.
  • Bernice has higher obesity rates at 45.8% compared to 43.6% in Mount olive.
  • Disability percentages are higher in Mount olive at 27.0% compared to 18.0% in Bernice.

Education Levels

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

Education Level Mount olive Bernice
No Schooling 2.3% (20) 1.9% (25)
High School Diploma 23.9% (210) 35.4% (467)
Less than High School 14.9% (131) 13.6% (179)
Bachelor's Degree and Higher 13.0% (114) 6.4% (84)

Education Levels Comparison: Mount olive vs Bernice

  • A higher percentage of residents in Mount olive have no formal schooling at 2.3% compared to 1.9% in Bernice.
  • In Bernice, the rate of residents with high school diplomas is higher at 35.4% compared to 23.9% in Mount olive.
  • More residents in Mount olive have less than a high school education at 14.9% compared to 13.6% in Bernice.
  • A higher percentage of residents in Mount olive hold a bachelor's degree or higher at 13.0% compared to 6.4% in Bernice.

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.