Demographics details for South holland, IL vs Pahoa, HI

Population Overview

Compare main population characteristics in South holland, IL vs Pahoa, HI.

Data South holland Pahoa
Population 20,685 1,372
Median Age 42.6 years 47.4 years
Median Income $79,567 $54,486
Married Families 34.0% 36.0%
Poverty Level 10% 13%
Unemployment Rate 5.2 4.5

Population Comparison: South holland vs Pahoa

  • In South holland, the population is higher at 20,685, compared to 1,372 in Pahoa.
  • The median age in Pahoa is higher at 47.4 years, compared to 42.6 years in South holland.
  • South holland has a higher median income of $79,567 compared to $54,486 in Pahoa.
  • In Pahoa, the percentage of married families is higher at 36.0%, compared to 34.0% in South holland.
  • The poverty level is higher in Pahoa at 13%, compared to 10% in South holland.
  • The unemployment rate in South holland is higher at 5.2%, compared to 4.5% in Pahoa.

Demographics

Demographics South holland vs Pahoa provide insight into the diversity of the communities to compare.

Demographic South holland Pahoa
Black 83 Data is updating
White 8 16
Asian 1 45
Hispanic 5 17
Two or More Races 3 22
American Indian Data is updating Data is updating

Demographics Comparison: South holland vs Pahoa

  • A higher percentage of Black residents are in South holland at 83% compared to 0% in Pahoa.
  • The percentage of White residents is higher in Pahoa at 16% compared to 8% in South holland.
  • In Pahoa, the Asian population stands at 45%, greater than 1% in South holland.
  • Pahoa has a higher percentage of Hispanic residents at 17%, compared to 5% in South holland.
  • The percentage of residents identifying as two or more races is higher in Pahoa at 22%, compared to 3% in South holland.
  • The percentage of American Indian residents is the same in both South holland and Pahoa at 0%.

Health Statistics

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

Health Metric South holland Pahoa
Mental Health Not Good 14.8% 15.4%
Physical Health Not Good 10.9% 10.4%
Depression 15.1% 15.5%
Smoking 15.3% 15.6%
Binge Drinking 15.6% 17.7%
Obesity 37.3% 25.6%
Disability Percentage 13.0% 21.0%

Health Statistics Comparison: South holland vs Pahoa

  • In Pahoa, a higher percentage report poor mental health at 15.4% compared to 14.8% in South holland.
  • Higher depression rates are seen in Pahoa at 15.5% versus 15.1% in South holland.
  • Pahoa has a higher smoking rate at 15.6% compared to 15.3% in South holland.
  • More residents engage in binge drinking in Pahoa at 17.7% compared to 15.6% in South holland.
  • Obesity rates are higher in South holland at 37.3% compared to 25.6% in Pahoa.
  • There is a higher percentage of disabled individuals in Pahoa at 21.0% compared to 13.0% in South holland.

Education Levels

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

Education Level South holland Pahoa
No Schooling 0.5% (94) 0.0% (Data is updating)
High School Diploma 15.5% (3,210) 32.2% (442)
Less than High School 7.8% (1,623) 7.9% (108)
Bachelor's Degree and Higher 20.0% (4,142) 18.2% (250)

Education Levels Comparison: South holland vs Pahoa

  • A higher percentage of residents in South holland have no formal schooling at 0.5% compared to 0.0% in Pahoa.
  • In Pahoa, the rate of residents with high school diplomas is higher at 32.2% compared to 15.5% in South holland.
  • The percentage of residents with less than a high school education is higher in Pahoa at 7.9%, compared to 7.8% in South holland.
  • A higher percentage of residents in South holland hold a bachelor's degree or higher at 20.0% compared to 18.2% in Pahoa.

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.