Demographics details for Mountain home, ID vs Worcester, MA

Population Overview

Compare main population characteristics in Mountain home, ID vs Worcester, MA.

Data Mountain home Worcester
Population 16,469 205,319
Median Age 31.3 years 34.3 years
Median Income $53,108 $63,011
Married Families 36.0% 29.0%
Poverty Level 12% 12%
Unemployment Rate 3.1 4.8

Population Comparison: Mountain home vs Worcester

  • The population in Worcester is higher at 205,319, compared to 16,469 in Mountain home.
  • The median age in Worcester is higher at 34.3 years, compared to 31.3 years in Mountain home.
  • Worcester has a higher median income of $63,011, compared to $53,108 in Mountain home.
  • A higher percentage of married families is found in Mountain home at 36.0% compared to 29.0% in Worcester.
  • The poverty level is identical in both Mountain home and Worcester at 12%.
  • Worcester has a higher unemployment rate at 4.8% compared to 3.1% in Mountain home.

Demographics

Demographics Mountain home vs Worcester provide insight into the diversity of the communities to compare.

Demographic Mountain home Worcester
Black 2 13
White 69 44
Asian 4 7
Hispanic 14 24
Two or More Races 9 12
American Indian 2 Data is updating

Demographics Comparison: Mountain home vs Worcester

  • In Worcester, the percentage of Black residents is higher at 13% compared to 2% in Mountain home.
  • Mountain home has a higher percentage of White residents at 69% compared to 44% in Worcester.
  • In Worcester, the Asian population stands at 7%, greater than 4% in Mountain home.
  • Worcester has a higher percentage of Hispanic residents at 24%, compared to 14% in Mountain home.
  • The percentage of residents identifying as two or more races is higher in Worcester at 12%, compared to 9% in Mountain home.
  • A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Worcester.

Health Statistics

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

Health Metric Mountain home Worcester
Mental Health Not Good 16.9% 18.7%
Physical Health Not Good 12.6% 11.8%
Depression 22.4% 23.1%
Smoking 18.3% 17.1%
Binge Drinking 15.8% 15.5%
Obesity 36.1% 34.8%
Disability Percentage 18.0% 14.0%

Health Statistics Comparison: Mountain home vs Worcester

  • In Worcester, a higher percentage report poor mental health at 18.7% compared to 16.9% in Mountain home.
  • Higher depression rates are seen in Worcester at 23.1% versus 22.4% in Mountain home.
  • Smoking is more prevalent in Mountain home at 18.3% compared to 17.1% in Worcester.
  • Binge drinking is more common in Mountain home at 15.8% compared to 15.5% in Worcester.
  • Obesity rates are higher in Mountain home at 36.1% compared to 34.8% in Worcester.
  • Disability percentages are higher in Mountain home at 18.0% compared to 14.0% in Worcester.

Education Levels

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

Education Level Mountain home Worcester
No Schooling 1.7% (273) 1.7% (3,577)
High School Diploma 16.3% (2,690) 15.6% (31,987)
Less than High School 12.8% (2,116) 16.0% (32,925)
Bachelor's Degree and Higher 10.4% (1,720) 21.5% (44,155)

Education Levels Comparison: Mountain home vs Worcester

  • The percentage of residents with no formal schooling is the same in both Mountain home and Worcester at 1.7%.
  • A higher percentage of residents in Mountain home hold a high school diploma at 16.3% compared to 15.6% in Worcester.
  • The percentage of residents with less than a high school education is higher in Worcester at 16.0%, compared to 12.8% in Mountain home.
  • In Worcester, a larger share of residents have a bachelor's degree or higher at 21.5% compared to 10.4% in Mountain home.

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.