Demographics details for Sugar valley, GA vs Rio linda, CA

Population Overview

Compare main population characteristics in Sugar valley, GA vs Rio linda, CA.

Data Sugar valley Rio linda
Population 8,120 16,596
Median Age 38.8 years 36.7 years
Median Income $68,839 $88,102
Married Families 42.0% 41.0%
Poverty Level 9% 12%
Unemployment Rate 3.5 4.5

Population Comparison: Sugar valley vs Rio linda

  • The population in Rio linda is higher at 16,596, compared to 8,120 in Sugar valley.
  • Residents in Sugar valley have a higher median age of 38.8 years compared to 36.7 years in Rio linda.
  • Rio linda has a higher median income of $88,102, compared to $68,839 in Sugar valley.
  • A higher percentage of married families is found in Sugar valley at 42.0% compared to 41.0% in Rio linda.
  • The poverty level is higher in Rio linda at 12%, compared to 9% in Sugar valley.
  • Rio linda has a higher unemployment rate at 4.5% compared to 3.5% in Sugar valley.

Demographics

Demographics Sugar valley vs Rio linda provide insight into the diversity of the communities to compare.

Demographic Sugar valley Rio linda
Black Data is updating 3
White 86 60
Asian 1 7
Hispanic 9 23
Two or More Races 4 7
American Indian Data is updating Data is updating

Demographics Comparison: Sugar valley vs Rio linda

  • In Rio linda, the percentage of Black residents is higher at 3% compared to 0% in Sugar valley.
  • Sugar valley has a higher percentage of White residents at 86% compared to 60% in Rio linda.
  • In Rio linda, the Asian population stands at 7%, greater than 1% in Sugar valley.
  • Rio linda has a higher percentage of Hispanic residents at 23%, compared to 9% in Sugar valley.
  • The percentage of residents identifying as two or more races is higher in Rio linda at 7%, compared to 4% in Sugar valley.
  • The percentage of American Indian residents is the same in both Sugar valley and Rio linda at 0%.

Health Statistics

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

Health Metric Sugar valley Rio linda
Mental Health Not Good Data is updating% 18.2%
Physical Health Not Good Data is updating% 12.2%
Depression Data is updating% 21.4%
Smoking Data is updating% 15.8%
Binge Drinking Data is updating% 16.9%
Obesity Data is updating% 33.7%
Disability Percentage 16.0% 11.0%

Health Statistics Comparison: Sugar valley vs Rio linda

  • In Rio linda, a higher percentage report poor mental health at 18.2% compared to 0.0% in Sugar valley.
  • Higher depression rates are seen in Rio linda at 21.4% versus 0.0% in Sugar valley.
  • Rio linda has a higher smoking rate at 15.8% compared to 0.0% in Sugar valley.
  • More residents engage in binge drinking in Rio linda at 16.9% compared to 0.0% in Sugar valley.
  • Rio linda has higher obesity rates at 33.7% compared to 0.0% in Sugar valley.
  • Disability percentages are higher in Sugar valley at 16.0% compared to 11.0% in Rio linda.

Education Levels

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

Education Level Sugar valley Rio linda
No Schooling 1.4% (111) 1.3% (219)
High School Diploma 16.9% (1,371) 25.4% (4,218)
Less than High School 22.0% (1,784) 14.9% (2,471)
Bachelor's Degree and Higher 7.6% (619) 9.2% (1,529)

Education Levels Comparison: Sugar valley vs Rio linda

  • A higher percentage of residents in Sugar valley have no formal schooling at 1.4% compared to 1.3% in Rio linda.
  • In Rio linda, the rate of residents with high school diplomas is higher at 25.4% compared to 16.9% in Sugar valley.
  • More residents in Sugar valley have less than a high school education at 22.0% compared to 14.9% in Rio linda.
  • In Rio linda, a larger share of residents have a bachelor's degree or higher at 9.2% compared to 7.6% in Sugar valley.

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.