Demographics details for North chicago, IL vs Albany, IN

Population Overview

Compare main population characteristics in North chicago, IL vs Albany, IN.

Data North chicago Albany
Population 30,490 2,286
Median Age 23.5 years 49.2 years
Median Income $52,011 $53,246
Married Families 24.0% 55.0%
Poverty Level 17% 10%
Unemployment Rate 6.7 3.2

Population Comparison: North chicago vs Albany

  • In North chicago, the population is higher at 30,490, compared to 2,286 in Albany.
  • The median age in Albany is higher at 49.2 years, compared to 23.5 years in North chicago.
  • Albany has a higher median income of $53,246, compared to $52,011 in North chicago.
  • In Albany, the percentage of married families is higher at 55.0%, compared to 24.0% in North chicago.
  • North chicago has a higher poverty level at 17% compared to 10% in Albany.
  • The unemployment rate in North chicago is higher at 6.7%, compared to 3.2% in Albany.

Demographics

Demographics North chicago vs Albany provide insight into the diversity of the communities to compare.

Demographic North chicago Albany
Black 26 Data is updating
White 17 93
Asian 5 1
Hispanic 36 3
Two or More Races 14 3
American Indian 2 Data is updating

Demographics Comparison: North chicago vs Albany

  • A higher percentage of Black residents are in North chicago at 26% compared to 0% in Albany.
  • The percentage of White residents is higher in Albany at 93% compared to 17% in North chicago.
  • The Asian population is larger in North chicago at 5% compared to 1% in Albany.
  • The Hispanic community is larger in North chicago at 36% compared to 3% in Albany.
  • More residents identify as two or more races in North chicago at 14% compared to 3% in Albany.
  • A greater percentage of American Indian residents live in North chicago at 2% compared to 0% in Albany.

Health Statistics

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

Health Metric North chicago Albany
Mental Health Not Good 16.7% 17.1%
Physical Health Not Good 13.3% 11.5%
Depression 17.2% 26.9%
Smoking 19.1% 20.1%
Binge Drinking 15.5% 17.4%
Obesity 41.1% 36.7%
Disability Percentage 7.0% 30.0%

Health Statistics Comparison: North chicago vs Albany

  • In Albany, a higher percentage report poor mental health at 17.1% compared to 16.7% in North chicago.
  • Higher depression rates are seen in Albany at 26.9% versus 17.2% in North chicago.
  • Albany has a higher smoking rate at 20.1% compared to 19.1% in North chicago.
  • More residents engage in binge drinking in Albany at 17.4% compared to 15.5% in North chicago.
  • Obesity rates are higher in North chicago at 41.1% compared to 36.7% in Albany.
  • There is a higher percentage of disabled individuals in Albany at 30.0% compared to 7.0% in North chicago.

Education Levels

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

Education Level North chicago Albany
No Schooling 1.4% (417) 0.5% (12)
High School Diploma 10.7% (3,273) 39.1% (893)
Less than High School 15.1% (4,606) 19.9% (456)
Bachelor's Degree and Higher 9.6% (2,919) 13.5% (308)

Education Levels Comparison: North chicago vs Albany

  • A higher percentage of residents in North chicago have no formal schooling at 1.4% compared to 0.5% in Albany.
  • In Albany, the rate of residents with high school diplomas is higher at 39.1% compared to 10.7% in North chicago.
  • The percentage of residents with less than a high school education is higher in Albany at 19.9%, compared to 15.1% in North chicago.
  • In Albany, a larger share of residents have a bachelor's degree or higher at 13.5% compared to 9.6% in North chicago.

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.