Demographics details for San luis obispo, CA vs Winona, MS

Population Overview

Compare main population characteristics in San luis obispo, CA vs Winona, MS.

Data San luis obispo Winona
Population 48,341 4,159
Median Age 25.2 years 33.7 years
Median Income $65,000 $26,250
Married Families 25.0% 21.0%
Poverty Level Data is updating 24%
Unemployment Rate 3.5 3.6

Population Comparison: San luis obispo vs Winona

  • In San luis obispo, the population is higher at 48,341, compared to 4,159 in Winona.
  • The median age in Winona is higher at 33.7 years, compared to 25.2 years in San luis obispo.
  • San luis obispo has a higher median income of $65,000 compared to $26,250 in Winona.
  • A higher percentage of married families is found in San luis obispo at 25.0% compared to 21.0% in Winona.
  • The poverty level is higher in Winona at 24%, compared to 0% in San luis obispo.
  • Winona has a higher unemployment rate at 3.6% compared to 3.5% in San luis obispo.

Demographics

Demographics San luis obispo vs Winona provide insight into the diversity of the communities to compare.

Demographic San luis obispo Winona
Black 1 62
White 66 38
Asian 5 Data is updating
Hispanic 18 Data is updating
Two or More Races 10 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: San luis obispo vs Winona

  • In Winona, the percentage of Black residents is higher at 62% compared to 1% in San luis obispo.
  • San luis obispo has a higher percentage of White residents at 66% compared to 38% in Winona.
  • The Asian population is larger in San luis obispo at 5% compared to 0% in Winona.
  • The Hispanic community is larger in San luis obispo at 18% compared to 0% in Winona.
  • More residents identify as two or more races in San luis obispo at 10% compared to 0% in Winona.
  • The percentage of American Indian residents is the same in both San luis obispo and Winona at 0%.

Health Statistics

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

Health Metric San luis obispo Winona
Mental Health Not Good 16.9% 19.3%
Physical Health Not Good 11.0% 15.0%
Depression 20.5% 22.3%
Smoking 12.9% 24.8%
Binge Drinking 18.1% 11.8%
Obesity 31.2% 46.4%
Disability Percentage 9.0% 25.0%

Health Statistics Comparison: San luis obispo vs Winona

  • In Winona, a higher percentage report poor mental health at 19.3% compared to 16.9% in San luis obispo.
  • Higher depression rates are seen in Winona at 22.3% versus 20.5% in San luis obispo.
  • Winona has a higher smoking rate at 24.8% compared to 12.9% in San luis obispo.
  • Binge drinking is more common in San luis obispo at 18.1% compared to 11.8% in Winona.
  • Winona has higher obesity rates at 46.4% compared to 31.2% in San luis obispo.
  • There is a higher percentage of disabled individuals in Winona at 25.0% compared to 9.0% in San luis obispo.

Education Levels

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

Education Level San luis obispo Winona
No Schooling 0.3% (137) 2.1% (87)
High School Diploma 5.3% (2,581) 11.4% (473)
Less than High School 4.3% (2,086) 28.5% (1,186)
Bachelor's Degree and Higher 26.1% (12,629) 9.3% (388)

Education Levels Comparison: San luis obispo vs Winona

  • In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 0.3% in San luis obispo.
  • In Winona, the rate of residents with high school diplomas is higher at 11.4% compared to 5.3% in San luis obispo.
  • The percentage of residents with less than a high school education is higher in Winona at 28.5%, compared to 4.3% in San luis obispo.
  • A higher percentage of residents in San luis obispo hold a bachelor's degree or higher at 26.1% compared to 9.3% in Winona.

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.