Demographics details for Mount olive, MS vs Orchard, NE

Population Overview

Compare main population characteristics in Mount olive, MS vs Orchard, NE.

Data Mount olive Orchard
Population 878 354
Median Age 31.7 years 36.5 years
Median Income $53,947 $45,357
Married Families 49.0% 42.0%
Poverty Level 18% 10%
Unemployment Rate 6.5 3.5

Population Comparison: Mount olive vs Orchard

  • In Mount olive, the population is higher at 878, compared to 354 in Orchard.
  • The median age in Orchard is higher at 36.5 years, compared to 31.7 years in Mount olive.
  • Mount olive has a higher median income of $53,947 compared to $45,357 in Orchard.
  • A higher percentage of married families is found in Mount olive at 49.0% compared to 42.0% in Orchard.
  • Mount olive has a higher poverty level at 18% compared to 10% in Orchard.
  • The unemployment rate in Mount olive is higher at 6.5%, compared to 3.5% in Orchard.

Demographics

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

Demographic Mount olive Orchard
Black 120 Data is updating
White 145 93
Asian 2 Data is updating
Hispanic Data is updating 4
Two or More Races Data is updating 3
American Indian Data is updating Data is updating

Demographics Comparison: Mount olive vs Orchard

  • A higher percentage of Black residents are in Mount olive at 120% compared to 0% in Orchard.
  • Mount olive has a higher percentage of White residents at 145% compared to 93% in Orchard.
  • The Asian population is larger in Mount olive at 2% compared to 0% in Orchard.
  • Orchard has a higher percentage of Hispanic residents at 4%, compared to 0% in Mount olive.
  • The percentage of residents identifying as two or more races is higher in Orchard at 3%, compared to 0% in Mount olive.
  • The percentage of American Indian residents is the same in both Mount olive and Orchard at 0%.

Health Statistics

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

Health Metric Mount olive Orchard
Mental Health Not Good 17.8% 13.9%
Physical Health Not Good 13.3% 9.4%
Depression 21.5% 16.6%
Smoking 21.3% 17.0%
Binge Drinking 13.0% 21.9%
Obesity 43.6% 36.1%
Disability Percentage 27.0% 19.0%

Health Statistics Comparison: Mount olive vs Orchard

  • More residents in Mount olive report poor mental health at 17.8% compared to 13.9% in Orchard.
  • Depression is more prevalent in Mount olive at 21.5% compared to 16.6% in Orchard.
  • Smoking is more prevalent in Mount olive at 21.3% compared to 17.0% in Orchard.
  • More residents engage in binge drinking in Orchard at 21.9% compared to 13.0% in Mount olive.
  • Obesity rates are higher in Mount olive at 43.6% compared to 36.1% in Orchard.
  • Disability percentages are higher in Mount olive at 27.0% compared to 19.0% in Orchard.

Education Levels

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

Education Level Mount olive Orchard
No Schooling 2.3% (20) 0.3% (1)
High School Diploma 23.9% (210) 21.5% (76)
Less than High School 14.9% (131) 13.0% (46)
Bachelor's Degree and Higher 13.0% (114) 13.3% (47)

Education Levels Comparison: Mount olive vs Orchard

  • A higher percentage of residents in Mount olive have no formal schooling at 2.3% compared to 0.3% in Orchard.
  • A higher percentage of residents in Mount olive hold a high school diploma at 23.9% compared to 21.5% in Orchard.
  • More residents in Mount olive have less than a high school education at 14.9% compared to 13.0% in Orchard.
  • In Orchard, a larger share of residents have a bachelor's degree or higher at 13.3% 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.