Demographics details for Mcminnville, OR vs Picayune, MS

Population Overview

Compare main population characteristics in Mcminnville, OR vs Picayune, MS.

Data Mcminnville Picayune
Population 34,530 11,826
Median Age 40.1 years 38.3 years
Median Income $65,318 $35,649
Married Families 35.0% 27.0%
Poverty Level 10% 21%
Unemployment Rate 3.9 4.5

Population Comparison: Mcminnville vs Picayune

  • In Mcminnville, the population is higher at 34,530, compared to 11,826 in Picayune.
  • Residents in Mcminnville have a higher median age of 40.1 years compared to 38.3 years in Picayune.
  • Mcminnville has a higher median income of $65,318 compared to $35,649 in Picayune.
  • A higher percentage of married families is found in Mcminnville at 35.0% compared to 27.0% in Picayune.
  • The poverty level is higher in Picayune at 21%, compared to 10% in Mcminnville.
  • Picayune has a higher unemployment rate at 4.5% compared to 3.9% in Mcminnville.

Demographics

Demographics Mcminnville vs Picayune provide insight into the diversity of the communities to compare.

Demographic Mcminnville Picayune
Black Data is updating 38
White 67 55
Asian 2 Data is updating
Hispanic 18 2
Two or More Races 12 5
American Indian 1 Data is updating

Demographics Comparison: Mcminnville vs Picayune

  • In Picayune, the percentage of Black residents is higher at 38% compared to 0% in Mcminnville.
  • Mcminnville has a higher percentage of White residents at 67% compared to 55% in Picayune.
  • The Asian population is larger in Mcminnville at 2% compared to 0% in Picayune.
  • The Hispanic community is larger in Mcminnville at 18% compared to 2% in Picayune.
  • More residents identify as two or more races in Mcminnville at 12% compared to 5% in Picayune.
  • A greater percentage of American Indian residents live in Mcminnville at 1% compared to 0% in Picayune.

Health Statistics

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

Health Metric Mcminnville Picayune
Mental Health Not Good 18.3% 18.4%
Physical Health Not Good 11.6% 14.3%
Depression 27.2% 24.0%
Smoking 15.6% 23.3%
Binge Drinking 17.6% 13.3%
Obesity 35.1% 44.0%
Disability Percentage 17.0% 21.0%

Health Statistics Comparison: Mcminnville vs Picayune

  • In Picayune, a higher percentage report poor mental health at 18.4% compared to 18.3% in Mcminnville.
  • Depression is more prevalent in Mcminnville at 27.2% compared to 24.0% in Picayune.
  • Picayune has a higher smoking rate at 23.3% compared to 15.6% in Mcminnville.
  • Binge drinking is more common in Mcminnville at 17.6% compared to 13.3% in Picayune.
  • Picayune has higher obesity rates at 44.0% compared to 35.1% in Mcminnville.
  • There is a higher percentage of disabled individuals in Picayune at 21.0% compared to 17.0% in Mcminnville.

Education Levels

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

Education Level Mcminnville Picayune
No Schooling 1.4% (472) 0.6% (73)
High School Diploma 11.9% (4,114) 17.8% (2,108)
Less than High School 16.8% (5,808) 11.8% (1,392)
Bachelor's Degree and Higher 17.7% (6,118) 10.1% (1,200)

Education Levels Comparison: Mcminnville vs Picayune

  • A higher percentage of residents in Mcminnville have no formal schooling at 1.4% compared to 0.6% in Picayune.
  • In Picayune, the rate of residents with high school diplomas is higher at 17.8% compared to 11.9% in Mcminnville.
  • More residents in Mcminnville have less than a high school education at 16.8% compared to 11.8% in Picayune.
  • A higher percentage of residents in Mcminnville hold a bachelor's degree or higher at 17.7% compared to 10.1% in Picayune.

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.