Demographics details for Pittsfield, NH vs Baldwin, GA

Population Overview

Compare main population characteristics in Pittsfield, NH vs Baldwin, GA.

Data Pittsfield Baldwin
Population 4,140 3,866
Median Age 42.0 years 29.8 years
Median Income $64,600 $48,234
Married Families 33.0% 32.0%
Poverty Level 8% 15%
Unemployment Rate 2.6 3.2

Population Comparison: Pittsfield vs Baldwin

  • In Pittsfield, the population is higher at 4,140, compared to 3,866 in Baldwin.
  • Residents in Pittsfield have a higher median age of 42.0 years compared to 29.8 years in Baldwin.
  • Pittsfield has a higher median income of $64,600 compared to $48,234 in Baldwin.
  • A higher percentage of married families is found in Pittsfield at 33.0% compared to 32.0% in Baldwin.
  • The poverty level is higher in Baldwin at 15%, compared to 8% in Pittsfield.
  • Baldwin has a higher unemployment rate at 3.2% compared to 2.6% in Pittsfield.

Demographics

Demographics Pittsfield vs Baldwin provide insight into the diversity of the communities to compare.

Demographic Pittsfield Baldwin
Black Data is updating 1
White 100 1
Asian Data is updating 1
Hispanic Data is updating 64
Two or More Races Data is updating 28
American Indian Data is updating 5

Demographics Comparison: Pittsfield vs Baldwin

  • In Baldwin, the percentage of Black residents is higher at 1% compared to 0% in Pittsfield.
  • Pittsfield has a higher percentage of White residents at 100% compared to 1% in Baldwin.
  • In Baldwin, the Asian population stands at 1%, greater than 0% in Pittsfield.
  • Baldwin has a higher percentage of Hispanic residents at 64%, compared to 0% in Pittsfield.
  • The percentage of residents identifying as two or more races is higher in Baldwin at 28%, compared to 0% in Pittsfield.
  • In Baldwin, the percentage of American Indian residents is higher at 5%, compared to 0% in Pittsfield.

Health Statistics

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

Health Metric Pittsfield Baldwin
Mental Health Not Good Data is updating% 18.8%
Physical Health Not Good Data is updating% 15.3%
Depression Data is updating% 23.3%
Smoking Data is updating% 21.3%
Binge Drinking Data is updating% 14.6%
Obesity Data is updating% 35.3%
Disability Percentage Data is updating% 8.0%

Health Statistics Comparison: Pittsfield vs Baldwin

  • In Baldwin, a higher percentage report poor mental health at 18.8% compared to 0.0% in Pittsfield.
  • Higher depression rates are seen in Baldwin at 23.3% versus 0.0% in Pittsfield.
  • Baldwin has a higher smoking rate at 21.3% compared to 0.0% in Pittsfield.
  • More residents engage in binge drinking in Baldwin at 14.6% compared to 0.0% in Pittsfield.
  • Baldwin has higher obesity rates at 35.3% compared to 0.0% in Pittsfield.
  • There is a higher percentage of disabled individuals in Baldwin at 8.0% compared to 0.0% in Pittsfield.

Education Levels

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

Education Level Pittsfield Baldwin
No Schooling 0.0% (Data is updating) 4.0% (155)
High School Diploma 0.0% (Data is updating) 10.6% (409)
Less than High School 0.0% (Data is updating) 42.2% (1,633)
Bachelor's Degree and Higher 0.0% (Data is updating) 10.1% (392)

Education Levels Comparison: Pittsfield vs Baldwin

  • In Baldwin, a larger percentage of residents lack formal schooling at 4.0% compared to 0.0% in Pittsfield.
  • In Baldwin, the rate of residents with high school diplomas is higher at 10.6% compared to 0.0% in Pittsfield.
  • The percentage of residents with less than a high school education is higher in Baldwin at 42.2%, compared to 0.0% in Pittsfield.
  • In Baldwin, a larger share of residents have a bachelor's degree or higher at 10.1% compared to 0.0% in Pittsfield.

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.