Demographics details for South san francisco, CA vs Ute, IA

Population Overview

Compare main population characteristics in South san francisco, CA vs Ute, IA.

Data South san francisco Ute
Population 63,484 329
Median Age 42.3 years 39.5 years
Median Income $127,062 $51,250
Married Families 44.0% 27.0%
Poverty Level 8% 9%
Unemployment Rate 3.6 2.2

Population Comparison: South san francisco vs Ute

  • In South san francisco, the population is higher at 63,484, compared to 329 in Ute.
  • Residents in South san francisco have a higher median age of 42.3 years compared to 39.5 years in Ute.
  • South san francisco has a higher median income of $127,062 compared to $51,250 in Ute.
  • A higher percentage of married families is found in South san francisco at 44.0% compared to 27.0% in Ute.
  • The poverty level is higher in Ute at 9%, compared to 8% in South san francisco.
  • The unemployment rate in South san francisco is higher at 3.6%, compared to 2.2% in Ute.

Demographics

Demographics South san francisco vs Ute provide insight into the diversity of the communities to compare.

Demographic South san francisco Ute
Black 2 Data is updating
White 11 99
Asian 45 Data is updating
Hispanic 30 1
Two or More Races 11 Data is updating
American Indian 1 Data is updating

Demographics Comparison: South san francisco vs Ute

  • A higher percentage of Black residents are in South san francisco at 2% compared to 0% in Ute.
  • The percentage of White residents is higher in Ute at 99% compared to 11% in South san francisco.
  • The Asian population is larger in South san francisco at 45% compared to 0% in Ute.
  • The Hispanic community is larger in South san francisco at 30% compared to 1% in Ute.
  • More residents identify as two or more races in South san francisco at 11% compared to 0% in Ute.
  • A greater percentage of American Indian residents live in South san francisco at 1% compared to 0% in Ute.

Health Statistics

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

Health Metric South san francisco Ute
Mental Health Not Good 12.9% 16.3%
Physical Health Not Good 8.8% 10.1%
Depression 13.7% 19.9%
Smoking 9.3% 18.5%
Binge Drinking 14.5% 21.4%
Obesity 21.9% 40.5%
Disability Percentage 10.0% 24.0%

Health Statistics Comparison: South san francisco vs Ute

  • In Ute, a higher percentage report poor mental health at 16.3% compared to 12.9% in South san francisco.
  • Higher depression rates are seen in Ute at 19.9% versus 13.7% in South san francisco.
  • Ute has a higher smoking rate at 18.5% compared to 9.3% in South san francisco.
  • More residents engage in binge drinking in Ute at 21.4% compared to 14.5% in South san francisco.
  • Ute has higher obesity rates at 40.5% compared to 21.9% in South san francisco.
  • There is a higher percentage of disabled individuals in Ute at 24.0% compared to 10.0% in South san francisco.

Education Levels

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

Education Level South san francisco Ute
No Schooling 2.5% (1,583) 0.0% (Data is updating)
High School Diploma 13.7% (8,667) 31.0% (102)
Less than High School 14.8% (9,368) 8.5% (28)
Bachelor's Degree and Higher 30.4% (19,273) 7.0% (23)

Education Levels Comparison: South san francisco vs Ute

  • A higher percentage of residents in South san francisco have no formal schooling at 2.5% compared to 0.0% in Ute.
  • In Ute, the rate of residents with high school diplomas is higher at 31.0% compared to 13.7% in South san francisco.
  • More residents in South san francisco have less than a high school education at 14.8% compared to 8.5% in Ute.
  • A higher percentage of residents in South san francisco hold a bachelor's degree or higher at 30.4% compared to 7.0% in Ute.

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.