Demographics details for Albany, IL vs Sea isle city, NJ

Population Overview

Compare main population characteristics in Albany, IL vs Sea isle city, NJ.

Data Albany Sea isle city
Population 848 2,114
Median Age 41.9 years 48.0 years
Median Income $64,000 $66,467
Married Families 35.0% 514.0%
Poverty Level 5% 2%
Unemployment Rate 3.5 3.2

Population Comparison: Albany vs Sea isle city

  • The population in Sea isle city is higher at 2,114, compared to 848 in Albany.
  • The median age in Sea isle city is higher at 48.0 years, compared to 41.9 years in Albany.
  • Sea isle city has a higher median income of $66,467, compared to $64,000 in Albany.
  • In Sea isle city, the percentage of married families is higher at 514.0%, compared to 35.0% in Albany.
  • Albany has a higher poverty level at 5% compared to 2% in Sea isle city.
  • The unemployment rate in Albany is higher at 3.5%, compared to 3.2% in Sea isle city.

Demographics

Demographics Albany vs Sea isle city provide insight into the diversity of the communities to compare.

Demographic Albany Sea isle city
Black 2 Data is updating
White 93 100
Asian Data is updating Data is updating
Hispanic 2 Data is updating
Two or More Races 3 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Albany vs Sea isle city

  • A higher percentage of Black residents are in Albany at 2% compared to 0% in Sea isle city.
  • The percentage of White residents is higher in Sea isle city at 100% compared to 93% in Albany.
  • Both Albany and Sea isle city have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Albany at 2% compared to 0% in Sea isle city.
  • More residents identify as two or more races in Albany at 3% compared to 0% in Sea isle city.
  • The percentage of American Indian residents is the same in both Albany and Sea isle city at 0%.

Health Statistics

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

Health Metric Albany Sea isle city
Mental Health Not Good 16.0% Data is updating%
Physical Health Not Good 10.6% Data is updating%
Depression 22.3% Data is updating%
Smoking 17.6% Data is updating%
Binge Drinking 19.2% Data is updating%
Obesity 36.5% Data is updating%
Disability Percentage 8.0% Data is updating%

Health Statistics Comparison: Albany vs Sea isle city

  • More residents in Albany report poor mental health at 16.0% compared to 0.0% in Sea isle city.
  • Depression is more prevalent in Albany at 22.3% compared to 0.0% in Sea isle city.
  • Smoking is more prevalent in Albany at 17.6% compared to 0.0% in Sea isle city.
  • Binge drinking is more common in Albany at 19.2% compared to 0.0% in Sea isle city.
  • Obesity rates are higher in Albany at 36.5% compared to 0.0% in Sea isle city.
  • Disability percentages are higher in Albany at 8.0% compared to 0.0% in Sea isle city.

Education Levels

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

Education Level Albany Sea isle city
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 22.1% (187) 0.0% (Data is updating)
Less than High School 6.2% (53) 0.0% (Data is updating)
Bachelor's Degree and Higher 10.0% (85) 0.0% (Data is updating)

Education Levels Comparison: Albany vs Sea isle city

  • The percentage of residents with no formal schooling is the same in both Albany and Sea isle city at 0.0%.
  • A higher percentage of residents in Albany hold a high school diploma at 22.1% compared to 0.0% in Sea isle city.
  • More residents in Albany have less than a high school education at 6.2% compared to 0.0% in Sea isle city.
  • A higher percentage of residents in Albany hold a bachelor's degree or higher at 10.0% compared to 0.0% in Sea isle city.

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.