Demographics details for Albany, LA vs Crystal springs, MS

Population Overview

Compare main population characteristics in Albany, LA vs Crystal springs, MS.

Data Albany Crystal springs
Population 1,242 4,700
Median Age 29.3 years 45.3 years
Median Income $74,375 $44,653
Married Families 39.0% 28.0%
Poverty Level 12% 12%
Unemployment Rate 3.5 3.5

Population Comparison: Albany vs Crystal springs

  • The population in Crystal springs is higher at 4,700, compared to 1,242 in Albany.
  • The median age in Crystal springs is higher at 45.3 years, compared to 29.3 years in Albany.
  • Albany has a higher median income of $74,375 compared to $44,653 in Crystal springs.
  • A higher percentage of married families is found in Albany at 39.0% compared to 28.0% in Crystal springs.
  • The poverty level is identical in both Albany and Crystal springs at 12%.
  • The unemployment rate is the same in both Albany and Crystal springs at 3.5%.

Demographics

Demographics Albany vs Crystal springs provide insight into the diversity of the communities to compare.

Demographic Albany Crystal springs
Black Data is updating 66
White 100 24
Asian Data is updating Data is updating
Hispanic Data is updating 6
Two or More Races Data is updating 4
American Indian Data is updating Data is updating

Demographics Comparison: Albany vs Crystal springs

  • In Crystal springs, the percentage of Black residents is higher at 66% compared to 0% in Albany.
  • Albany has a higher percentage of White residents at 100% compared to 24% in Crystal springs.
  • Both Albany and Crystal springs have the same percentage of Asian residents at 0%.
  • Crystal springs has a higher percentage of Hispanic residents at 6%, compared to 0% in Albany.
  • The percentage of residents identifying as two or more races is higher in Crystal springs at 4%, compared to 0% in Albany.
  • The percentage of American Indian residents is the same in both Albany and Crystal springs at 0%.

Health Statistics

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

Health Metric Albany Crystal springs
Mental Health Not Good 20.6% 18.5%
Physical Health Not Good 13.9% 14.9%
Depression 29.8% 21.5%
Smoking 23.0% 24.2%
Binge Drinking 17.8% 12.2%
Obesity 37.9% 45.8%
Disability Percentage 16.0% 18.0%

Health Statistics Comparison: Albany vs Crystal springs

  • More residents in Albany report poor mental health at 20.6% compared to 18.5% in Crystal springs.
  • Depression is more prevalent in Albany at 29.8% compared to 21.5% in Crystal springs.
  • Crystal springs has a higher smoking rate at 24.2% compared to 23.0% in Albany.
  • Binge drinking is more common in Albany at 17.8% compared to 12.2% in Crystal springs.
  • Crystal springs has higher obesity rates at 45.8% compared to 37.9% in Albany.
  • There is a higher percentage of disabled individuals in Crystal springs at 18.0% compared to 16.0% in Albany.

Education Levels

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

Education Level Albany Crystal springs
No Schooling 0.5% (6) 2.0% (94)
High School Diploma 10.5% (131) 12.1% (568)
Less than High School 12.1% (150) 20.1% (945)
Bachelor's Degree and Higher 15.9% (198) 19.5% (915)

Education Levels Comparison: Albany vs Crystal springs

  • In Crystal springs, a larger percentage of residents lack formal schooling at 2.0% compared to 0.5% in Albany.
  • In Crystal springs, the rate of residents with high school diplomas is higher at 12.1% compared to 10.5% in Albany.
  • The percentage of residents with less than a high school education is higher in Crystal springs at 20.1%, compared to 12.1% in Albany.
  • In Crystal springs, a larger share of residents have a bachelor's degree or higher at 19.5% compared to 15.9% 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.