Demographics details for Blue island, IL vs Montgomery, AL

Population Overview

Compare main population characteristics in Blue island, IL vs Montgomery, AL.

Data Blue island Montgomery
Population 23,706 196,986
Median Age 33.0 years 36.1 years
Median Income $63,000 $54,166
Married Families 38.0% 28.0%
Poverty Level 17% 15%
Unemployment Rate 5.3 3.2

Population Comparison: Blue island vs Montgomery

  • The population in Montgomery is higher at 196,986, compared to 23,706 in Blue island.
  • The median age in Montgomery is higher at 36.1 years, compared to 33.0 years in Blue island.
  • Blue island has a higher median income of $63,000 compared to $54,166 in Montgomery.
  • A higher percentage of married families is found in Blue island at 38.0% compared to 28.0% in Montgomery.
  • Blue island has a higher poverty level at 17% compared to 15% in Montgomery.
  • The unemployment rate in Blue island is higher at 5.3%, compared to 3.2% in Montgomery.

Demographics

Demographics Blue island vs Montgomery provide insight into the diversity of the communities to compare.

Demographic Blue island Montgomery
Black 60 64
White 20 25
Asian 10 4
Hispanic 10 4
Two or More Races 5 3
American Indian Data is updating Data is updating

Demographics Comparison: Blue island vs Montgomery

  • In Montgomery, the percentage of Black residents is higher at 64% compared to 60% in Blue island.
  • The percentage of White residents is higher in Montgomery at 25% compared to 20% in Blue island.
  • The Asian population is larger in Blue island at 10% compared to 4% in Montgomery.
  • The Hispanic community is larger in Blue island at 10% compared to 4% in Montgomery.
  • More residents identify as two or more races in Blue island at 5% compared to 3% in Montgomery.
  • The percentage of American Indian residents is the same in both Blue island and Montgomery at 0%.

Health Statistics

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

Health Metric Blue island Montgomery
Mental Health Not Good Data is updating% 18.8%
Physical Health Not Good Data is updating% 13.3%
Depression Data is updating% 20.2%
Smoking Data is updating% 18.9%
Binge Drinking Data is updating% 14.2%
Obesity Data is updating% 38.4%
Disability Percentage Data is updating% 17.0%

Health Statistics Comparison: Blue island vs Montgomery

  • In Montgomery, a higher percentage report poor mental health at 18.8% compared to 0.0% in Blue island.
  • Higher depression rates are seen in Montgomery at 20.2% versus 0.0% in Blue island.
  • Montgomery has a higher smoking rate at 18.9% compared to 0.0% in Blue island.
  • More residents engage in binge drinking in Montgomery at 14.2% compared to 0.0% in Blue island.
  • Montgomery has higher obesity rates at 38.4% compared to 0.0% in Blue island.
  • There is a higher percentage of disabled individuals in Montgomery at 17.0% compared to 0.0% in Blue island.

Education Levels

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

Education Level Blue island Montgomery
No Schooling 0.0% (Data is updating) 0.8% (1,627)
High School Diploma 0.0% (Data is updating) 14.0% (27,586)
Less than High School 0.0% (Data is updating) 10.0% (19,602)
Bachelor's Degree and Higher 0.0% (Data is updating) 22.1% (43,498)

Education Levels Comparison: Blue island vs Montgomery

  • In Montgomery, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Blue island.
  • In Montgomery, the rate of residents with high school diplomas is higher at 14.0% compared to 0.0% in Blue island.
  • The percentage of residents with less than a high school education is higher in Montgomery at 10.0%, compared to 0.0% in Blue island.
  • In Montgomery, a larger share of residents have a bachelor's degree or higher at 22.1% compared to 0.0% in Blue island.

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.