Demographics details for South san francisco, CA vs White plains, NY

Population Overview

Compare main population characteristics in South san francisco, CA vs White plains, NY.

Data South san francisco White plains
Population 63,484 59,316
Median Age 42.3 years 41.4 years
Median Income $127,062 $109,551
Married Families 44.0% 40.0%
Poverty Level 8% 6%
Unemployment Rate 3.6 3.2

Population Comparison: South san francisco vs White plains

  • In South san francisco, the population is higher at 63,484, compared to 59,316 in White plains.
  • Residents in South san francisco have a higher median age of 42.3 years compared to 41.4 years in White plains.
  • South san francisco has a higher median income of $127,062 compared to $109,551 in White plains.
  • A higher percentage of married families is found in South san francisco at 44.0% compared to 40.0% in White plains.
  • South san francisco has a higher poverty level at 8% compared to 6% in White plains.
  • The unemployment rate in South san francisco is higher at 3.6%, compared to 3.2% in White plains.

Demographics

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

Demographic South san francisco White plains
Black 2 13
White 11 39
Asian 45 8
Hispanic 30 31
Two or More Races 11 9
American Indian 1 Data is updating

Demographics Comparison: South san francisco vs White plains

  • In White plains, the percentage of Black residents is higher at 13% compared to 2% in South san francisco.
  • The percentage of White residents is higher in White plains at 39% compared to 11% in South san francisco.
  • The Asian population is larger in South san francisco at 45% compared to 8% in White plains.
  • White plains has a higher percentage of Hispanic residents at 31%, compared to 30% in South san francisco.
  • More residents identify as two or more races in South san francisco at 11% compared to 9% in White plains.
  • A greater percentage of American Indian residents live in South san francisco at 1% compared to 0% in White plains.

Health Statistics

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

Health Metric South san francisco White plains
Mental Health Not Good 12.9% 13.1%
Physical Health Not Good 8.8% 9.1%
Depression 13.7% 17.7%
Smoking 9.3% 11.7%
Binge Drinking 14.5% 15.9%
Obesity 21.9% 28.4%
Disability Percentage 10.0% 10.0%

Health Statistics Comparison: South san francisco vs White plains

  • In White plains, a higher percentage report poor mental health at 13.1% compared to 12.9% in South san francisco.
  • Higher depression rates are seen in White plains at 17.7% versus 13.7% in South san francisco.
  • White plains has a higher smoking rate at 11.7% compared to 9.3% in South san francisco.
  • More residents engage in binge drinking in White plains at 15.9% compared to 14.5% in South san francisco.
  • White plains has higher obesity rates at 28.4% compared to 21.9% in South san francisco.
  • Disability percentages are the same in both South san francisco and White plains at 10.0%.

Education Levels

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

Education Level South san francisco White plains
No Schooling 2.5% (1,583) 1.0% (566)
High School Diploma 13.7% (8,667) 11.6% (6,853)
Less than High School 14.8% (9,368) 14.7% (8,744)
Bachelor's Degree and Higher 30.4% (19,273) 39.0% (23,145)

Education Levels Comparison: South san francisco vs White plains

  • A higher percentage of residents in South san francisco have no formal schooling at 2.5% compared to 1.0% in White plains.
  • A higher percentage of residents in South san francisco hold a high school diploma at 13.7% compared to 11.6% in White plains.
  • More residents in South san francisco have less than a high school education at 14.8% compared to 14.7% in White plains.
  • In White plains, a larger share of residents have a bachelor's degree or higher at 39.0% compared to 30.4% in South san francisco.

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.