Demographics details for Loma linda, CA vs Poplar bluff, MO

Population Overview

Compare main population characteristics in Loma linda, CA vs Poplar bluff, MO.

Data Loma linda Poplar bluff
Population 25,129 16,232
Median Age 37.8 years 36.0 years
Median Income $70,685 $37,448
Married Families 40.0% 29.0%
Poverty Level 10% 15%
Unemployment Rate 3.7 4.5

Population Comparison: Loma linda vs Poplar bluff

  • In Loma linda, the population is higher at 25,129, compared to 16,232 in Poplar bluff.
  • Residents in Loma linda have a higher median age of 37.8 years compared to 36.0 years in Poplar bluff.
  • Loma linda has a higher median income of $70,685 compared to $37,448 in Poplar bluff.
  • A higher percentage of married families is found in Loma linda at 40.0% compared to 29.0% in Poplar bluff.
  • The poverty level is higher in Poplar bluff at 15%, compared to 10% in Loma linda.
  • Poplar bluff has a higher unemployment rate at 4.5% compared to 3.7% in Loma linda.

Demographics

Demographics Loma linda vs Poplar bluff provide insight into the diversity of the communities to compare.

Demographic Loma linda Poplar bluff
Black 6 10
White 28 79
Asian 26 Data is updating
Hispanic 28 2
Two or More Races 11 8
American Indian 1 1

Demographics Comparison: Loma linda vs Poplar bluff

  • In Poplar bluff, the percentage of Black residents is higher at 10% compared to 6% in Loma linda.
  • The percentage of White residents is higher in Poplar bluff at 79% compared to 28% in Loma linda.
  • The Asian population is larger in Loma linda at 26% compared to 0% in Poplar bluff.
  • The Hispanic community is larger in Loma linda at 28% compared to 2% in Poplar bluff.
  • More residents identify as two or more races in Loma linda at 11% compared to 8% in Poplar bluff.
  • The percentage of American Indian residents is the same in both Loma linda and Poplar bluff at 1%.

Health Statistics

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

Health Metric Loma linda Poplar bluff
Mental Health Not Good 15.1% 22.8%
Physical Health Not Good 10.2% 17.8%
Depression 16.5% 27.7%
Smoking 11.1% 31.5%
Binge Drinking 13.9% 15.3%
Obesity 31.7% 45.2%
Disability Percentage 13.0% 26.0%

Health Statistics Comparison: Loma linda vs Poplar bluff

  • In Poplar bluff, a higher percentage report poor mental health at 22.8% compared to 15.1% in Loma linda.
  • Higher depression rates are seen in Poplar bluff at 27.7% versus 16.5% in Loma linda.
  • Poplar bluff has a higher smoking rate at 31.5% compared to 11.1% in Loma linda.
  • More residents engage in binge drinking in Poplar bluff at 15.3% compared to 13.9% in Loma linda.
  • Poplar bluff has higher obesity rates at 45.2% compared to 31.7% in Loma linda.
  • There is a higher percentage of disabled individuals in Poplar bluff at 26.0% compared to 13.0% in Loma linda.

Education Levels

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

Education Level Loma linda Poplar bluff
No Schooling 1.6% (401) 0.7% (118)
High School Diploma 9.5% (2,397) 23.2% (3,763)
Less than High School 13.1% (3,304) 21.1% (3,419)
Bachelor's Degree and Higher 35.4% (8,904) 8.8% (1,422)

Education Levels Comparison: Loma linda vs Poplar bluff

  • A higher percentage of residents in Loma linda have no formal schooling at 1.6% compared to 0.7% in Poplar bluff.
  • In Poplar bluff, the rate of residents with high school diplomas is higher at 23.2% compared to 9.5% in Loma linda.
  • The percentage of residents with less than a high school education is higher in Poplar bluff at 21.1%, compared to 13.1% in Loma linda.
  • A higher percentage of residents in Loma linda hold a bachelor's degree or higher at 35.4% compared to 8.8% in Poplar bluff.

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.