Demographics details for Rising city, NE vs Sweetwater, TX

Population Overview

Compare main population characteristics in Rising city, NE vs Sweetwater, TX.

Data Rising city Sweetwater
Population 354 10,408
Median Age 44.3 years 35.7 years
Median Income $81,477 $44,306
Married Families 45.0% 32.0%
Poverty Level 9% 15%
Unemployment Rate 2.7 5.4

Population Comparison: Rising city vs Sweetwater

  • The population in Sweetwater is higher at 10,408, compared to 354 in Rising city.
  • Residents in Rising city have a higher median age of 44.3 years compared to 35.7 years in Sweetwater.
  • Rising city has a higher median income of $81,477 compared to $44,306 in Sweetwater.
  • A higher percentage of married families is found in Rising city at 45.0% compared to 32.0% in Sweetwater.
  • The poverty level is higher in Sweetwater at 15%, compared to 9% in Rising city.
  • Sweetwater has a higher unemployment rate at 5.4% compared to 2.7% in Rising city.

Demographics

Demographics Rising city vs Sweetwater provide insight into the diversity of the communities to compare.

Demographic Rising city Sweetwater
Black Data is updating 6
White 98 34
Asian Data is updating Data is updating
Hispanic 2 46
Two or More Races Data is updating 13
American Indian Data is updating 1

Demographics Comparison: Rising city vs Sweetwater

  • In Sweetwater, the percentage of Black residents is higher at 6% compared to 0% in Rising city.
  • Rising city has a higher percentage of White residents at 98% compared to 34% in Sweetwater.
  • Both Rising city and Sweetwater have the same percentage of Asian residents at 0%.
  • Sweetwater has a higher percentage of Hispanic residents at 46%, compared to 2% in Rising city.
  • The percentage of residents identifying as two or more races is higher in Sweetwater at 13%, compared to 0% in Rising city.
  • In Sweetwater, the percentage of American Indian residents is higher at 1%, compared to 0% in Rising city.

Health Statistics

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

Health Metric Rising city Sweetwater
Mental Health Not Good 13.5% 19.1%
Physical Health Not Good 9.2% 14.3%
Depression 16.0% 24.2%
Smoking 16.3% 20.3%
Binge Drinking 23.1% 17.3%
Obesity 40.3% 38.9%
Disability Percentage 13.0% 21.0%

Health Statistics Comparison: Rising city vs Sweetwater

  • In Sweetwater, a higher percentage report poor mental health at 19.1% compared to 13.5% in Rising city.
  • Higher depression rates are seen in Sweetwater at 24.2% versus 16.0% in Rising city.
  • Sweetwater has a higher smoking rate at 20.3% compared to 16.3% in Rising city.
  • Binge drinking is more common in Rising city at 23.1% compared to 17.3% in Sweetwater.
  • Obesity rates are higher in Rising city at 40.3% compared to 38.9% in Sweetwater.
  • There is a higher percentage of disabled individuals in Sweetwater at 21.0% compared to 13.0% in Rising city.

Education Levels

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

Education Level Rising city Sweetwater
No Schooling 0.0% (Data is updating) 1.9% (194)
High School Diploma 19.8% (70) 16.0% (1,666)
Less than High School 9.6% (34) 23.1% (2,408)
Bachelor's Degree and Higher 7.6% (27) 7.0% (733)

Education Levels Comparison: Rising city vs Sweetwater

  • In Sweetwater, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Rising city.
  • A higher percentage of residents in Rising city hold a high school diploma at 19.8% compared to 16.0% in Sweetwater.
  • The percentage of residents with less than a high school education is higher in Sweetwater at 23.1%, compared to 9.6% in Rising city.
  • A higher percentage of residents in Rising city hold a bachelor's degree or higher at 7.6% compared to 7.0% in Sweetwater.

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.