Demographics details for Manteca, CA vs Walnut bottom, PA

Population Overview

Compare main population characteristics in Manteca, CA vs Walnut bottom, PA.

Data Manteca Walnut bottom
Population 86,928 422
Median Age 37.0 years 37.0 years
Median Income $89,966 $55,000
Married Families 38.0% 50.0%
Poverty Level 10% 10%
Unemployment Rate 5.7 4.5

Population Comparison: Manteca vs Walnut bottom

  • In Manteca, the population is higher at 86,928, compared to 422 in Walnut bottom.
  • The median age is the same in both Manteca and Walnut bottom at 37.0 years.
  • Manteca has a higher median income of $89,966 compared to $55,000 in Walnut bottom.
  • In Walnut bottom, the percentage of married families is higher at 50.0%, compared to 38.0% in Manteca.
  • The poverty level is identical in both Manteca and Walnut bottom at 10%.
  • The unemployment rate in Manteca is higher at 5.7%, compared to 4.5% in Walnut bottom.

Demographics

Demographics Manteca vs Walnut bottom provide insight into the diversity of the communities to compare.

Demographic Manteca Walnut bottom
Black 3 1
White 26 98
Asian 14 Data is updating
Hispanic 39 1
Two or More Races 17 Data is updating
American Indian 1 Data is updating

Demographics Comparison: Manteca vs Walnut bottom

  • A higher percentage of Black residents are in Manteca at 3% compared to 1% in Walnut bottom.
  • The percentage of White residents is higher in Walnut bottom at 98% compared to 26% in Manteca.
  • The Asian population is larger in Manteca at 14% compared to 0% in Walnut bottom.
  • The Hispanic community is larger in Manteca at 39% compared to 1% in Walnut bottom.
  • More residents identify as two or more races in Manteca at 17% compared to 0% in Walnut bottom.
  • A greater percentage of American Indian residents live in Manteca at 1% compared to 0% in Walnut bottom.

Health Statistics

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

Health Metric Manteca Walnut bottom
Mental Health Not Good 16.6% Data is updating%
Physical Health Not Good 11.8% Data is updating%
Depression 18.2% Data is updating%
Smoking 13.8% Data is updating%
Binge Drinking 16.6% Data is updating%
Obesity 34.1% Data is updating%
Disability Percentage 12.0% Data is updating%

Health Statistics Comparison: Manteca vs Walnut bottom

  • More residents in Manteca report poor mental health at 16.6% compared to 0.0% in Walnut bottom.
  • Depression is more prevalent in Manteca at 18.2% compared to 0.0% in Walnut bottom.
  • Smoking is more prevalent in Manteca at 13.8% compared to 0.0% in Walnut bottom.
  • Binge drinking is more common in Manteca at 16.6% compared to 0.0% in Walnut bottom.
  • Obesity rates are higher in Manteca at 34.1% compared to 0.0% in Walnut bottom.
  • Disability percentages are higher in Manteca at 12.0% compared to 0.0% in Walnut bottom.

Education Levels

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

Education Level Manteca Walnut bottom
No Schooling 1.7% (1,490) 0.0% (Data is updating)
High School Diploma 17.0% (14,775) 0.0% (Data is updating)
Less than High School 16.5% (14,304) 0.0% (Data is updating)
Bachelor's Degree and Higher 12.4% (10,753) 0.0% (Data is updating)

Education Levels Comparison: Manteca vs Walnut bottom

  • A higher percentage of residents in Manteca have no formal schooling at 1.7% compared to 0.0% in Walnut bottom.
  • A higher percentage of residents in Manteca hold a high school diploma at 17.0% compared to 0.0% in Walnut bottom.
  • More residents in Manteca have less than a high school education at 16.5% compared to 0.0% in Walnut bottom.
  • A higher percentage of residents in Manteca hold a bachelor's degree or higher at 12.4% compared to 0.0% in Walnut bottom.

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.