Demographics details for Saratoga springs, NY vs Sudan, TX

Population Overview

Compare main population characteristics in Saratoga springs, NY vs Sudan, TX.

Data Saratoga springs Sudan
Population 28,593 928
Median Age 41.8 years 30.9 years
Median Income $97,241 $69,175
Married Families 40.0% 40.0%
Poverty Level 6% 12%
Unemployment Rate 3.3 2.2

Population Comparison: Saratoga springs vs Sudan

  • In Saratoga springs, the population is higher at 28,593, compared to 928 in Sudan.
  • Residents in Saratoga springs have a higher median age of 41.8 years compared to 30.9 years in Sudan.
  • Saratoga springs has a higher median income of $97,241 compared to $69,175 in Sudan.
  • The percentage of married families is the same in both Saratoga springs and Sudan at 40.0%.
  • The poverty level is higher in Sudan at 12%, compared to 6% in Saratoga springs.
  • The unemployment rate in Saratoga springs is higher at 3.3%, compared to 2.2% in Sudan.

Demographics

Demographics Saratoga springs vs Sudan provide insight into the diversity of the communities to compare.

Demographic Saratoga springs Sudan
Black 3 2
White 86 29
Asian 3 Data is updating
Hispanic 4 58
Two or More Races 4 11
American Indian Data is updating Data is updating

Demographics Comparison: Saratoga springs vs Sudan

  • A higher percentage of Black residents are in Saratoga springs at 3% compared to 2% in Sudan.
  • Saratoga springs has a higher percentage of White residents at 86% compared to 29% in Sudan.
  • The Asian population is larger in Saratoga springs at 3% compared to 0% in Sudan.
  • Sudan has a higher percentage of Hispanic residents at 58%, compared to 4% in Saratoga springs.
  • The percentage of residents identifying as two or more races is higher in Sudan at 11%, compared to 4% in Saratoga springs.
  • The percentage of American Indian residents is the same in both Saratoga springs and Sudan at 0%.

Health Statistics

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

Health Metric Saratoga springs Sudan
Mental Health Not Good 13.4% 18.2%
Physical Health Not Good 8.2% 13.3%
Depression 20.8% 24.0%
Smoking 13.2% 18.5%
Binge Drinking 21.5% 17.6%
Obesity 28.4% 37.3%
Disability Percentage 11.0% 19.0%

Health Statistics Comparison: Saratoga springs vs Sudan

  • In Sudan, a higher percentage report poor mental health at 18.2% compared to 13.4% in Saratoga springs.
  • Higher depression rates are seen in Sudan at 24.0% versus 20.8% in Saratoga springs.
  • Sudan has a higher smoking rate at 18.5% compared to 13.2% in Saratoga springs.
  • Binge drinking is more common in Saratoga springs at 21.5% compared to 17.6% in Sudan.
  • Sudan has higher obesity rates at 37.3% compared to 28.4% in Saratoga springs.
  • There is a higher percentage of disabled individuals in Sudan at 19.0% compared to 11.0% in Saratoga springs.

Education Levels

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

Education Level Saratoga springs Sudan
No Schooling 0.7% (208) 2.0% (19)
High School Diploma 11.0% (3,147) 25.5% (237)
Less than High School 6.3% (1,801) 16.4% (152)
Bachelor's Degree and Higher 42.3% (12,109) 10.9% (101)

Education Levels Comparison: Saratoga springs vs Sudan

  • In Sudan, a larger percentage of residents lack formal schooling at 2.0% compared to 0.7% in Saratoga springs.
  • In Sudan, the rate of residents with high school diplomas is higher at 25.5% compared to 11.0% in Saratoga springs.
  • The percentage of residents with less than a high school education is higher in Sudan at 16.4%, compared to 6.3% in Saratoga springs.
  • A higher percentage of residents in Saratoga springs hold a bachelor's degree or higher at 42.3% compared to 10.9% in Sudan.

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.