Demographics details for Mount olive, MS vs Lancaster, PA

Population Overview

Compare main population characteristics in Mount olive, MS vs Lancaster, PA.

Data Mount olive Lancaster
Population 878 57,453
Median Age 31.7 years 31.8 years
Median Income $53,947 $61,014
Married Families 49.0% 28.0%
Poverty Level 18% 12%
Unemployment Rate 6.5 3.9

Population Comparison: Mount olive vs Lancaster

  • The population in Lancaster is higher at 57,453, compared to 878 in Mount olive.
  • The median age in Lancaster is higher at 31.8 years, compared to 31.7 years in Mount olive.
  • Lancaster has a higher median income of $61,014, compared to $53,947 in Mount olive.
  • A higher percentage of married families is found in Mount olive at 49.0% compared to 28.0% in Lancaster.
  • Mount olive has a higher poverty level at 18% compared to 12% in Lancaster.
  • The unemployment rate in Mount olive is higher at 6.5%, compared to 3.9% in Lancaster.

Demographics

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

Demographic Mount olive Lancaster
Black 120 18
White 145 24
Asian 2 3
Hispanic Data is updating 40
Two or More Races Data is updating 15
American Indian Data is updating Data is updating

Demographics Comparison: Mount olive vs Lancaster

  • A higher percentage of Black residents are in Mount olive at 120% compared to 18% in Lancaster.
  • Mount olive has a higher percentage of White residents at 145% compared to 24% in Lancaster.
  • In Lancaster, the Asian population stands at 3%, greater than 2% in Mount olive.
  • Lancaster has a higher percentage of Hispanic residents at 40%, compared to 0% in Mount olive.
  • The percentage of residents identifying as two or more races is higher in Lancaster at 15%, compared to 0% in Mount olive.
  • The percentage of American Indian residents is the same in both Mount olive and Lancaster at 0%.

Health Statistics

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

Health Metric Mount olive Lancaster
Mental Health Not Good 17.8% 17.3%
Physical Health Not Good 13.3% 14.4%
Depression 21.5% 21.8%
Smoking 21.3% 20.4%
Binge Drinking 13.0% 14.9%
Obesity 43.6% 41.1%
Disability Percentage 27.0% 16.0%

Health Statistics Comparison: Mount olive vs Lancaster

  • More residents in Mount olive report poor mental health at 17.8% compared to 17.3% in Lancaster.
  • Higher depression rates are seen in Lancaster at 21.8% versus 21.5% in Mount olive.
  • Smoking is more prevalent in Mount olive at 21.3% compared to 20.4% in Lancaster.
  • More residents engage in binge drinking in Lancaster at 14.9% compared to 13.0% in Mount olive.
  • Obesity rates are higher in Mount olive at 43.6% compared to 41.1% in Lancaster.
  • Disability percentages are higher in Mount olive at 27.0% compared to 16.0% in Lancaster.

Education Levels

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

Education Level Mount olive Lancaster
No Schooling 2.3% (20) 1.9% (1,077)
High School Diploma 23.9% (210) 16.7% (9,588)
Less than High School 14.9% (131) 18.6% (10,712)
Bachelor's Degree and Higher 13.0% (114) 17.4% (10,012)

Education Levels Comparison: Mount olive vs Lancaster

  • A higher percentage of residents in Mount olive have no formal schooling at 2.3% compared to 1.9% in Lancaster.
  • A higher percentage of residents in Mount olive hold a high school diploma at 23.9% compared to 16.7% in Lancaster.
  • The percentage of residents with less than a high school education is higher in Lancaster at 18.6%, compared to 14.9% in Mount olive.
  • In Lancaster, a larger share of residents have a bachelor's degree or higher at 17.4% compared to 13.0% in Mount olive.

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.