Demographics details for La puente, CA vs Mount orab, OH

Population Overview

Compare main population characteristics in La puente, CA vs Mount orab, OH.

Data La puente Mount orab
Population 36,636 4,337
Median Age 36.4 years 30.4 years
Median Income $77,702 $62,833
Married Families 38.0% 37.0%
Poverty Level 12% 10%
Unemployment Rate 5.9 4.5

Population Comparison: La puente vs Mount orab

  • In La puente, the population is higher at 36,636, compared to 4,337 in Mount orab.
  • Residents in La puente have a higher median age of 36.4 years compared to 30.4 years in Mount orab.
  • La puente has a higher median income of $77,702 compared to $62,833 in Mount orab.
  • A higher percentage of married families is found in La puente at 38.0% compared to 37.0% in Mount orab.
  • La puente has a higher poverty level at 12% compared to 10% in Mount orab.
  • The unemployment rate in La puente is higher at 5.9%, compared to 4.5% in Mount orab.

Demographics

Demographics La puente vs Mount orab provide insight into the diversity of the communities to compare.

Demographic La puente Mount orab
Black 2 1
White -16 98
Asian 14 Data is updating
Hispanic 84 Data is updating
Two or More Races 13 1
American Indian 3 Data is updating

Demographics Comparison: La puente vs Mount orab

  • A higher percentage of Black residents are in La puente at 2% compared to 1% in Mount orab.
  • The percentage of White residents is higher in Mount orab at 98% compared to -16% in La puente.
  • The Asian population is larger in La puente at 14% compared to 0% in Mount orab.
  • The Hispanic community is larger in La puente at 84% compared to 0% in Mount orab.
  • More residents identify as two or more races in La puente at 13% compared to 1% in Mount orab.
  • A greater percentage of American Indian residents live in La puente at 3% compared to 0% in Mount orab.

Health Statistics

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

Health Metric La puente Mount orab
Mental Health Not Good 15.8% 18.3%
Physical Health Not Good 13.4% 12.8%
Depression 15.3% 25.7%
Smoking 11.8% 22.9%
Binge Drinking 14.5% 18.6%
Obesity 31.6% 42.0%
Disability Percentage 10.0% 16.0%

Health Statistics Comparison: La puente vs Mount orab

  • In Mount orab, a higher percentage report poor mental health at 18.3% compared to 15.8% in La puente.
  • Higher depression rates are seen in Mount orab at 25.7% versus 15.3% in La puente.
  • Mount orab has a higher smoking rate at 22.9% compared to 11.8% in La puente.
  • More residents engage in binge drinking in Mount orab at 18.6% compared to 14.5% in La puente.
  • Mount orab has higher obesity rates at 42.0% compared to 31.6% in La puente.
  • There is a higher percentage of disabled individuals in Mount orab at 16.0% compared to 10.0% in La puente.

Education Levels

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

Education Level La puente Mount orab
No Schooling 5.0% (1,841) 0.8% (36)
High School Diploma 18.6% (6,830) 23.9% (1,037)
Less than High School 44.3% (16,244) 25.7% (1,116)
Bachelor's Degree and Higher 8.0% (2,926) 11.0% (479)

Education Levels Comparison: La puente vs Mount orab

  • A higher percentage of residents in La puente have no formal schooling at 5.0% compared to 0.8% in Mount orab.
  • In Mount orab, the rate of residents with high school diplomas is higher at 23.9% compared to 18.6% in La puente.
  • More residents in La puente have less than a high school education at 44.3% compared to 25.7% in Mount orab.
  • In Mount orab, a larger share of residents have a bachelor's degree or higher at 11.0% compared to 8.0% in La puente.

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.