Demographics details for Pearblossom, CA vs Columbus, OH

Population Overview

Compare main population characteristics in Pearblossom, CA vs Columbus, OH.

Data Pearblossom Columbus
Population 1,390 907,971
Median Age 40.0 years 32.7 years
Median Income $55,000 $62,994
Married Families 30.0% 29.0%
Poverty Level 15% 14%
Unemployment Rate 5.0 5.0

Population Comparison: Pearblossom vs Columbus

  • The population in Columbus is higher at 907,971, compared to 1,390 in Pearblossom.
  • Residents in Pearblossom have a higher median age of 40.0 years compared to 32.7 years in Columbus.
  • Columbus has a higher median income of $62,994, compared to $55,000 in Pearblossom.
  • A higher percentage of married families is found in Pearblossom at 30.0% compared to 29.0% in Columbus.
  • Pearblossom has a higher poverty level at 15% compared to 14% in Columbus.
  • The unemployment rate is the same in both Pearblossom and Columbus at 5.0%.

Demographics

Demographics Pearblossom vs Columbus provide insight into the diversity of the communities to compare.

Demographic Pearblossom Columbus
Black 2 29
White 90 51
Asian 1 6
Hispanic 5 7
Two or More Races 2 7
American Indian Data is updating Data is updating

Demographics Comparison: Pearblossom vs Columbus

  • In Columbus, the percentage of Black residents is higher at 29% compared to 2% in Pearblossom.
  • Pearblossom has a higher percentage of White residents at 90% compared to 51% in Columbus.
  • In Columbus, the Asian population stands at 6%, greater than 1% in Pearblossom.
  • Columbus has a higher percentage of Hispanic residents at 7%, compared to 5% in Pearblossom.
  • The percentage of residents identifying as two or more races is higher in Columbus at 7%, compared to 2% in Pearblossom.
  • The percentage of American Indian residents is the same in both Pearblossom and Columbus at 0%.

Health Statistics

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

Health Metric Pearblossom Columbus
Mental Health Not Good Data is updating% 18.4%
Physical Health Not Good Data is updating% 12.2%
Depression Data is updating% 23.9%
Smoking Data is updating% 19.6%
Binge Drinking Data is updating% 17.7%
Obesity Data is updating% 38.0%
Disability Percentage Data is updating% 11.0%

Health Statistics Comparison: Pearblossom vs Columbus

  • In Columbus, a higher percentage report poor mental health at 18.4% compared to 0.0% in Pearblossom.
  • Higher depression rates are seen in Columbus at 23.9% versus 0.0% in Pearblossom.
  • Columbus has a higher smoking rate at 19.6% compared to 0.0% in Pearblossom.
  • More residents engage in binge drinking in Columbus at 17.7% compared to 0.0% in Pearblossom.
  • Columbus has higher obesity rates at 38.0% compared to 0.0% in Pearblossom.
  • There is a higher percentage of disabled individuals in Columbus at 11.0% compared to 0.0% in Pearblossom.

Education Levels

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

Education Level Pearblossom Columbus
No Schooling 0.0% (Data is updating) 1.4% (12,592)
High School Diploma 0.0% (Data is updating) 14.4% (130,716)
Less than High School 0.0% (Data is updating) 9.7% (87,770)
Bachelor's Degree and Higher 0.0% (Data is updating) 25.2% (229,071)

Education Levels Comparison: Pearblossom vs Columbus

  • In Columbus, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Pearblossom.
  • In Columbus, the rate of residents with high school diplomas is higher at 14.4% compared to 0.0% in Pearblossom.
  • The percentage of residents with less than a high school education is higher in Columbus at 9.7%, compared to 0.0% in Pearblossom.
  • In Columbus, a larger share of residents have a bachelor's degree or higher at 25.2% compared to 0.0% in Pearblossom.

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.