Demographics details for Carroll, IA vs Haines falls, NY

Population Overview

Compare main population characteristics in Carroll, IA vs Haines falls, NY.

Data Carroll Haines falls
Population 10,184 281
Median Age 43.7 years 43.0 years
Median Income $60,368 $70,100
Married Families 39.0% 41.0%
Poverty Level 10% 8%
Unemployment Rate 3.5 4.5

Population Comparison: Carroll vs Haines falls

  • In Carroll, the population is higher at 10,184, compared to 281 in Haines falls.
  • Residents in Carroll have a higher median age of 43.7 years compared to 43.0 years in Haines falls.
  • Haines falls has a higher median income of $70,100, compared to $60,368 in Carroll.
  • In Haines falls, the percentage of married families is higher at 41.0%, compared to 39.0% in Carroll.
  • Carroll has a higher poverty level at 10% compared to 8% in Haines falls.
  • Haines falls has a higher unemployment rate at 4.5% compared to 3.5% in Carroll.

Demographics

Demographics Carroll vs Haines falls provide insight into the diversity of the communities to compare.

Demographic Carroll Haines falls
Black 2 Data is updating
White 91 90
Asian 1 Data is updating
Hispanic 4 5
Two or More Races 2 3
American Indian Data is updating 2

Demographics Comparison: Carroll vs Haines falls

  • A higher percentage of Black residents are in Carroll at 2% compared to 0% in Haines falls.
  • Carroll has a higher percentage of White residents at 91% compared to 90% in Haines falls.
  • The Asian population is larger in Carroll at 1% compared to 0% in Haines falls.
  • Haines falls has a higher percentage of Hispanic residents at 5%, compared to 4% in Carroll.
  • The percentage of residents identifying as two or more races is higher in Haines falls at 3%, compared to 2% in Carroll.
  • In Haines falls, the percentage of American Indian residents is higher at 2%, compared to 0% in Carroll.

Health Statistics

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

Health Metric Carroll Haines falls
Mental Health Not Good 15.5% Data is updating%
Physical Health Not Good 9.8% Data is updating%
Depression 19.3% Data is updating%
Smoking 17.3% Data is updating%
Binge Drinking 21.7% Data is updating%
Obesity 39.0% Data is updating%
Disability Percentage 15.0% Data is updating%

Health Statistics Comparison: Carroll vs Haines falls

  • More residents in Carroll report poor mental health at 15.5% compared to 0.0% in Haines falls.
  • Depression is more prevalent in Carroll at 19.3% compared to 0.0% in Haines falls.
  • Smoking is more prevalent in Carroll at 17.3% compared to 0.0% in Haines falls.
  • Binge drinking is more common in Carroll at 21.7% compared to 0.0% in Haines falls.
  • Obesity rates are higher in Carroll at 39.0% compared to 0.0% in Haines falls.
  • Disability percentages are higher in Carroll at 15.0% compared to 0.0% in Haines falls.

Education Levels

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

Education Level Carroll Haines falls
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 22.7% (2,316) 0.0% (Data is updating)
Less than High School 7.3% (742) 0.0% (Data is updating)
Bachelor's Degree and Higher 17.3% (1,763) 0.0% (Data is updating)

Education Levels Comparison: Carroll vs Haines falls

  • The percentage of residents with no formal schooling is the same in both Carroll and Haines falls at 0.0%.
  • A higher percentage of residents in Carroll hold a high school diploma at 22.7% compared to 0.0% in Haines falls.
  • More residents in Carroll have less than a high school education at 7.3% compared to 0.0% in Haines falls.
  • A higher percentage of residents in Carroll hold a bachelor's degree or higher at 17.3% compared to 0.0% in Haines 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.