Demographics details for Earlham, IA vs Mi wuk village, CA

Population Overview

Compare main population characteristics in Earlham, IA vs Mi wuk village, CA.

Data Earlham Mi wuk village
Population 1,423 1,010
Median Age 41.1 years 53.6 years
Median Income $103,977 $91,848
Married Families 45.0% 61.0%
Poverty Level 5% 5%
Unemployment Rate 3.2 6.2

Population Comparison: Earlham vs Mi wuk village

  • In Earlham, the population is higher at 1,423, compared to 1,010 in Mi wuk village.
  • The median age in Mi wuk village is higher at 53.6 years, compared to 41.1 years in Earlham.
  • Earlham has a higher median income of $103,977 compared to $91,848 in Mi wuk village.
  • In Mi wuk village, the percentage of married families is higher at 61.0%, compared to 45.0% in Earlham.
  • The poverty level is identical in both Earlham and Mi wuk village at 5%.
  • Mi wuk village has a higher unemployment rate at 6.2% compared to 3.2% in Earlham.

Demographics

Demographics Earlham vs Mi wuk village provide insight into the diversity of the communities to compare.

Demographic Earlham Mi wuk village
Black 2 Data is updating
White 95 95
Asian Data is updating 2
Hispanic 1 3
Two or More Races 2 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Earlham vs Mi wuk village

  • A higher percentage of Black residents are in Earlham at 2% compared to 0% in Mi wuk village.
  • The percentage of White residents is the same in both Earlham and Mi wuk village at 95%.
  • In Mi wuk village, the Asian population stands at 2%, greater than 0% in Earlham.
  • Mi wuk village has a higher percentage of Hispanic residents at 3%, compared to 1% in Earlham.
  • More residents identify as two or more races in Earlham at 2% compared to 0% in Mi wuk village.
  • The percentage of American Indian residents is the same in both Earlham and Mi wuk village at 0%.

Health Statistics

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

Health Metric Earlham Mi wuk village
Mental Health Not Good 14.4% 16.1%
Physical Health Not Good 8.5% 9.6%
Depression 18.4% 21.4%
Smoking 14.6% 11.7%
Binge Drinking 23.0% 19.8%
Obesity 37.3% 27.3%
Disability Percentage 10.0% 16.0%

Health Statistics Comparison: Earlham vs Mi wuk village

  • In Mi wuk village, a higher percentage report poor mental health at 16.1% compared to 14.4% in Earlham.
  • Higher depression rates are seen in Mi wuk village at 21.4% versus 18.4% in Earlham.
  • Smoking is more prevalent in Earlham at 14.6% compared to 11.7% in Mi wuk village.
  • Binge drinking is more common in Earlham at 23.0% compared to 19.8% in Mi wuk village.
  • Obesity rates are higher in Earlham at 37.3% compared to 27.3% in Mi wuk village.
  • There is a higher percentage of disabled individuals in Mi wuk village at 16.0% compared to 10.0% in Earlham.

Education Levels

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

Education Level Earlham Mi wuk village
No Schooling 0.7% (10) 0.0% (Data is updating)
High School Diploma 13.8% (197) 18.7% (189)
Less than High School 6.0% (85) 10.3% (104)
Bachelor's Degree and Higher 17.0% (242) 25.3% (256)

Education Levels Comparison: Earlham vs Mi wuk village

  • A higher percentage of residents in Earlham have no formal schooling at 0.7% compared to 0.0% in Mi wuk village.
  • In Mi wuk village, the rate of residents with high school diplomas is higher at 18.7% compared to 13.8% in Earlham.
  • The percentage of residents with less than a high school education is higher in Mi wuk village at 10.3%, compared to 6.0% in Earlham.
  • In Mi wuk village, a larger share of residents have a bachelor's degree or higher at 25.3% compared to 17.0% in Earlham.

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.