Demographics details for Watertown, MA vs Orange cove, CA

Population Overview

Compare main population characteristics in Watertown, MA vs Orange cove, CA.

Data Watertown Orange cove
Population 35,022 9,525
Median Age 38.2 years 24.4 years
Median Income $117,625 $33,671
Married Families 42.0% 30.0%
Poverty Level 5% 26%
Unemployment Rate 3.4 5.2

Population Comparison: Watertown vs Orange cove

  • In Watertown, the population is higher at 35,022, compared to 9,525 in Orange cove.
  • Residents in Watertown have a higher median age of 38.2 years compared to 24.4 years in Orange cove.
  • Watertown has a higher median income of $117,625 compared to $33,671 in Orange cove.
  • A higher percentage of married families is found in Watertown at 42.0% compared to 30.0% in Orange cove.
  • The poverty level is higher in Orange cove at 26%, compared to 5% in Watertown.
  • Orange cove has a higher unemployment rate at 5.2% compared to 3.4% in Watertown.

Demographics

Demographics Watertown vs Orange cove provide insight into the diversity of the communities to compare.

Demographic Watertown Orange cove
Black 4 1
White 70 -17
Asian 12 Data is updating
Hispanic 7 97
Two or More Races 7 19
American Indian Data is updating Data is updating

Demographics Comparison: Watertown vs Orange cove

  • A higher percentage of Black residents are in Watertown at 4% compared to 1% in Orange cove.
  • Watertown has a higher percentage of White residents at 70% compared to -17% in Orange cove.
  • The Asian population is larger in Watertown at 12% compared to 0% in Orange cove.
  • Orange cove has a higher percentage of Hispanic residents at 97%, compared to 7% in Watertown.
  • The percentage of residents identifying as two or more races is higher in Orange cove at 19%, compared to 7% in Watertown.
  • The percentage of American Indian residents is the same in both Watertown and Orange cove at 0%.

Health Statistics

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

Health Metric Watertown Orange cove
Mental Health Not Good 13.1% 21.3%
Physical Health Not Good 7.7% 20.7%
Depression 20.6% 19.2%
Smoking 8.6% 21.1%
Binge Drinking 19.3% 11.7%
Obesity 23.1% 46.7%
Disability Percentage 12.0% 7.0%

Health Statistics Comparison: Watertown vs Orange cove

  • In Orange cove, a higher percentage report poor mental health at 21.3% compared to 13.1% in Watertown.
  • Depression is more prevalent in Watertown at 20.6% compared to 19.2% in Orange cove.
  • Orange cove has a higher smoking rate at 21.1% compared to 8.6% in Watertown.
  • Binge drinking is more common in Watertown at 19.3% compared to 11.7% in Orange cove.
  • Orange cove has higher obesity rates at 46.7% compared to 23.1% in Watertown.
  • Disability percentages are higher in Watertown at 12.0% compared to 7.0% in Orange cove.

Education Levels

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

Education Level Watertown Orange cove
No Schooling 0.9% (331) 6.5% (617)
High School Diploma 10.7% (3,731) 8.0% (765)
Less than High School 6.9% (2,426) 55.1% (5,248)
Bachelor's Degree and Higher 52.6% (18,420) 3.3% (315)

Education Levels Comparison: Watertown vs Orange cove

  • In Orange cove, a larger percentage of residents lack formal schooling at 6.5% compared to 0.9% in Watertown.
  • A higher percentage of residents in Watertown hold a high school diploma at 10.7% compared to 8.0% in Orange cove.
  • The percentage of residents with less than a high school education is higher in Orange cove at 55.1%, compared to 6.9% in Watertown.
  • A higher percentage of residents in Watertown hold a bachelor's degree or higher at 52.6% compared to 3.3% in Orange cove.

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.