Demographics details for Water valley, MS vs Rising city, NE

Population Overview

Compare main population characteristics in Water valley, MS vs Rising city, NE.

Data Water valley Rising city
Population 3,361 354
Median Age 35.8 years 44.3 years
Median Income $45,718 $81,477
Married Families 27.0% 45.0%
Poverty Level Data is updating 9%
Unemployment Rate 4.3 2.7

Population Comparison: Water valley vs Rising city

  • In Water valley, the population is higher at 3,361, compared to 354 in Rising city.
  • The median age in Rising city is higher at 44.3 years, compared to 35.8 years in Water valley.
  • Rising city has a higher median income of $81,477, compared to $45,718 in Water valley.
  • In Rising city, the percentage of married families is higher at 45.0%, compared to 27.0% in Water valley.
  • The poverty level is higher in Rising city at 9%, compared to 0% in Water valley.
  • The unemployment rate in Water valley is higher at 4.3%, compared to 2.7% in Rising city.

Demographics

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

Demographic Water valley Rising city
Black 49 Data is updating
White 49 98
Asian Data is updating Data is updating
Hispanic 2 2
Two or More Races Data is updating Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Water valley vs Rising city

  • A higher percentage of Black residents are in Water valley at 49% compared to 0% in Rising city.
  • The percentage of White residents is higher in Rising city at 98% compared to 49% in Water valley.
  • Both Water valley and Rising city have the same percentage of Asian residents at 0%.
  • The percentage of Hispanic residents is the same in both Water valley and Rising city at 2%.
  • Both Water valley and Rising city have the same percentage of residents identifying as two or more races at 0%.
  • The percentage of American Indian residents is the same in both Water valley and Rising city at 0%.

Health Statistics

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

Health Metric Water valley Rising city
Mental Health Not Good 18.2% 13.5%
Physical Health Not Good 13.8% 9.2%
Depression 22.0% 16.0%
Smoking 23.1% 16.3%
Binge Drinking 12.9% 23.1%
Obesity 44.0% 40.3%
Disability Percentage 14.0% 13.0%

Health Statistics Comparison: Water valley vs Rising city

  • More residents in Water valley report poor mental health at 18.2% compared to 13.5% in Rising city.
  • Depression is more prevalent in Water valley at 22.0% compared to 16.0% in Rising city.
  • Smoking is more prevalent in Water valley at 23.1% compared to 16.3% in Rising city.
  • More residents engage in binge drinking in Rising city at 23.1% compared to 12.9% in Water valley.
  • Obesity rates are higher in Water valley at 44.0% compared to 40.3% in Rising city.
  • Disability percentages are higher in Water valley at 14.0% 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 Water valley Rising city
No Schooling 1.0% (34) 0.0% (Data is updating)
High School Diploma 24.0% (805) 19.8% (70)
Less than High School 13.0% (437) 9.6% (34)
Bachelor's Degree and Higher 9.6% (322) 7.6% (27)

Education Levels Comparison: Water valley vs Rising city

  • A higher percentage of residents in Water valley have no formal schooling at 1.0% compared to 0.0% in Rising city.
  • A higher percentage of residents in Water valley hold a high school diploma at 24.0% compared to 19.8% in Rising city.
  • More residents in Water valley have less than a high school education at 13.0% compared to 9.6% in Rising city.
  • A higher percentage of residents in Water valley hold a bachelor's degree or higher at 9.6% compared to 7.6% in Rising 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.