Demographics details for Mokelumne hill, CA vs Revere, MA

Population Overview

Compare main population characteristics in Mokelumne hill, CA vs Revere, MA.

Data Mokelumne hill Revere
Population 808 58,528
Median Age 61.8 years 39.6 years
Median Income $81,483 $78,968
Married Families 65.0% 38.0%
Poverty Level 10% 11%
Unemployment Rate 3.5 4.3

Population Comparison: Mokelumne hill vs Revere

  • The population in Revere is higher at 58,528, compared to 808 in Mokelumne hill.
  • Residents in Mokelumne hill have a higher median age of 61.8 years compared to 39.6 years in Revere.
  • Mokelumne hill has a higher median income of $81,483 compared to $78,968 in Revere.
  • A higher percentage of married families is found in Mokelumne hill at 65.0% compared to 38.0% in Revere.
  • The poverty level is higher in Revere at 11%, compared to 10% in Mokelumne hill.
  • Revere has a higher unemployment rate at 4.3% compared to 3.5% in Mokelumne hill.

Demographics

Demographics Mokelumne hill vs Revere provide insight into the diversity of the communities to compare.

Demographic Mokelumne hill Revere
Black 15 4
White 48 30
Asian Data is updating 6
Hispanic 24 41
Two or More Races 13 19
American Indian Data is updating Data is updating

Demographics Comparison: Mokelumne hill vs Revere

  • A higher percentage of Black residents are in Mokelumne hill at 15% compared to 4% in Revere.
  • Mokelumne hill has a higher percentage of White residents at 48% compared to 30% in Revere.
  • In Revere, the Asian population stands at 6%, greater than 0% in Mokelumne hill.
  • Revere has a higher percentage of Hispanic residents at 41%, compared to 24% in Mokelumne hill.
  • The percentage of residents identifying as two or more races is higher in Revere at 19%, compared to 13% in Mokelumne hill.
  • The percentage of American Indian residents is the same in both Mokelumne hill and Revere at 0%.

Health Statistics

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

Health Metric Mokelumne hill Revere
Mental Health Not Good 19.8% 16.7%
Physical Health Not Good 13.6% 10.7%
Depression 24.2% 22.5%
Smoking 17.6% 15.7%
Binge Drinking 16.7% 19.0%
Obesity 32.4% 25.3%
Disability Percentage 9.0% 13.0%

Health Statistics Comparison: Mokelumne hill vs Revere

  • More residents in Mokelumne hill report poor mental health at 19.8% compared to 16.7% in Revere.
  • Depression is more prevalent in Mokelumne hill at 24.2% compared to 22.5% in Revere.
  • Smoking is more prevalent in Mokelumne hill at 17.6% compared to 15.7% in Revere.
  • More residents engage in binge drinking in Revere at 19.0% compared to 16.7% in Mokelumne hill.
  • Obesity rates are higher in Mokelumne hill at 32.4% compared to 25.3% in Revere.
  • There is a higher percentage of disabled individuals in Revere at 13.0% compared to 9.0% in Mokelumne hill.

Education Levels

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

Education Level Mokelumne hill Revere
No Schooling 0.0% (Data is updating) 4.1% (2,390)
High School Diploma 12.5% (101) 24.6% (14,425)
Less than High School 8.7% (70) 24.5% (14,363)
Bachelor's Degree and Higher 20.2% (163) 18.7% (10,935)

Education Levels Comparison: Mokelumne hill vs Revere

  • In Revere, a larger percentage of residents lack formal schooling at 4.1% compared to 0.0% in Mokelumne hill.
  • In Revere, the rate of residents with high school diplomas is higher at 24.6% compared to 12.5% in Mokelumne hill.
  • The percentage of residents with less than a high school education is higher in Revere at 24.5%, compared to 8.7% in Mokelumne hill.
  • A higher percentage of residents in Mokelumne hill hold a bachelor's degree or higher at 20.2% compared to 18.7% in Revere.

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.