Demographics details for Mountain home, AR vs Central falls, RI

Population Overview

Compare main population characteristics in Mountain home, AR vs Central falls, RI.

Data Mountain home Central falls
Population 13,150 22,490
Median Age 41.8 years 31.5 years
Median Income $42,281 $43,092
Married Families 38.0% 29.0%
Poverty Level 14% 20%
Unemployment Rate 3.5 5.3

Population Comparison: Mountain home vs Central falls

  • The population in Central falls is higher at 22,490, compared to 13,150 in Mountain home.
  • Residents in Mountain home have a higher median age of 41.8 years compared to 31.5 years in Central falls.
  • Central falls has a higher median income of $43,092, compared to $42,281 in Mountain home.
  • A higher percentage of married families is found in Mountain home at 38.0% compared to 29.0% in Central falls.
  • The poverty level is higher in Central falls at 20%, compared to 14% in Mountain home.
  • Central falls has a higher unemployment rate at 5.3% compared to 3.5% in Mountain home.

Demographics

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

Demographic Mountain home Central falls
Black Data is updating 8
White 90 4
Asian 1 Data is updating
Hispanic 4 69
Two or More Races 4 18
American Indian 1 1

Demographics Comparison: Mountain home vs Central falls

  • In Central falls, the percentage of Black residents is higher at 8% compared to 0% in Mountain home.
  • Mountain home has a higher percentage of White residents at 90% compared to 4% in Central falls.
  • The Asian population is larger in Mountain home at 1% compared to 0% in Central falls.
  • Central falls has a higher percentage of Hispanic residents at 69%, compared to 4% in Mountain home.
  • The percentage of residents identifying as two or more races is higher in Central falls at 18%, compared to 4% in Mountain home.
  • The percentage of American Indian residents is the same in both Mountain home and Central falls at 1%.

Health Statistics

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

Health Metric Mountain home Central falls
Mental Health Not Good 19.2% 19.8%
Physical Health Not Good 12.9% 17.4%
Depression 28.5% 26.7%
Smoking 21.1% 22.8%
Binge Drinking 16.3% 14.2%
Obesity 34.3% 40.6%
Disability Percentage 22.0% 15.0%

Health Statistics Comparison: Mountain home vs Central falls

  • In Central falls, a higher percentage report poor mental health at 19.8% compared to 19.2% in Mountain home.
  • Depression is more prevalent in Mountain home at 28.5% compared to 26.7% in Central falls.
  • Central falls has a higher smoking rate at 22.8% compared to 21.1% in Mountain home.
  • Binge drinking is more common in Mountain home at 16.3% compared to 14.2% in Central falls.
  • Central falls has higher obesity rates at 40.6% compared to 34.3% in Mountain home.
  • Disability percentages are higher in Mountain home at 22.0% compared to 15.0% in Central falls.

Education Levels

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

Education Level Mountain home Central falls
No Schooling 0.7% (87) 4.7% (1,048)
High School Diploma 16.9% (2,225) 15.1% (3,406)
Less than High School 14.2% (1,870) 44.1% (9,911)
Bachelor's Degree and Higher 15.0% (1,973) 5.6% (1,270)

Education Levels Comparison: Mountain home vs Central falls

  • In Central falls, a larger percentage of residents lack formal schooling at 4.7% compared to 0.7% in Mountain home.
  • A higher percentage of residents in Mountain home hold a high school diploma at 16.9% compared to 15.1% in Central falls.
  • The percentage of residents with less than a high school education is higher in Central falls at 44.1%, compared to 14.2% in Mountain home.
  • A higher percentage of residents in Mountain home hold a bachelor's degree or higher at 15.0% compared to 5.6% in Central falls.

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.