Demographics details for Albany, OR vs Sterling heights, MI

Population Overview

Compare main population characteristics in Albany, OR vs Sterling heights, MI.

Data Albany Sterling heights
Population 56,891 132,567
Median Age 36.5 years 41.2 years
Median Income $69,777 $75,381
Married Families 39.0% 45.0%
Poverty Level 9% 8%
Unemployment Rate 4.2 4.7

Population Comparison: Albany vs Sterling heights

  • The population in Sterling heights is higher at 132,567, compared to 56,891 in Albany.
  • The median age in Sterling heights is higher at 41.2 years, compared to 36.5 years in Albany.
  • Sterling heights has a higher median income of $75,381, compared to $69,777 in Albany.
  • In Sterling heights, the percentage of married families is higher at 45.0%, compared to 39.0% in Albany.
  • Albany has a higher poverty level at 9% compared to 8% in Sterling heights.
  • Sterling heights has a higher unemployment rate at 4.7% compared to 4.2% in Albany.

Demographics

Demographics Albany vs Sterling heights provide insight into the diversity of the communities to compare.

Demographic Albany Sterling heights
Black Data is updating 6
White 74 79
Asian 2 9
Hispanic 14 2
Two or More Races 9 4
American Indian 1 Data is updating

Demographics Comparison: Albany vs Sterling heights

  • In Sterling heights, the percentage of Black residents is higher at 6% compared to 0% in Albany.
  • The percentage of White residents is higher in Sterling heights at 79% compared to 74% in Albany.
  • In Sterling heights, the Asian population stands at 9%, greater than 2% in Albany.
  • The Hispanic community is larger in Albany at 14% compared to 2% in Sterling heights.
  • More residents identify as two or more races in Albany at 9% compared to 4% in Sterling heights.
  • A greater percentage of American Indian residents live in Albany at 1% compared to 0% in Sterling heights.

Health Statistics

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

Health Metric Albany Sterling heights
Mental Health Not Good 18.0% 17.8%
Physical Health Not Good 11.0% 11.4%
Depression 27.2% 25.5%
Smoking 14.1% 19.8%
Binge Drinking 17.0% 17.7%
Obesity 35.5% 36.6%
Disability Percentage 15.0% 13.0%

Health Statistics Comparison: Albany vs Sterling heights

  • More residents in Albany report poor mental health at 18.0% compared to 17.8% in Sterling heights.
  • Depression is more prevalent in Albany at 27.2% compared to 25.5% in Sterling heights.
  • Sterling heights has a higher smoking rate at 19.8% compared to 14.1% in Albany.
  • More residents engage in binge drinking in Sterling heights at 17.7% compared to 17.0% in Albany.
  • Sterling heights has higher obesity rates at 36.6% compared to 35.5% in Albany.
  • Disability percentages are higher in Albany at 15.0% compared to 13.0% in Sterling heights.

Education Levels

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

Education Level Albany Sterling heights
No Schooling 0.4% (212) 2.4% (3,134)
High School Diploma 12.4% (7,049) 18.8% (24,937)
Less than High School 9.2% (5,244) 16.6% (22,008)
Bachelor's Degree and Higher 18.7% (10,614) 22.3% (29,518)

Education Levels Comparison: Albany vs Sterling heights

  • In Sterling heights, a larger percentage of residents lack formal schooling at 2.4% compared to 0.4% in Albany.
  • In Sterling heights, the rate of residents with high school diplomas is higher at 18.8% compared to 12.4% in Albany.
  • The percentage of residents with less than a high school education is higher in Sterling heights at 16.6%, compared to 9.2% in Albany.
  • In Sterling heights, a larger share of residents have a bachelor's degree or higher at 22.3% compared to 18.7% in Albany.

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.