Demographics details for Manchester, NH vs North baltimore, OH

Population Overview

Compare main population characteristics in Manchester, NH vs North baltimore, OH.

Data Manchester North baltimore
Population 115,141 3,383
Median Age 37.0 years 37.4 years
Median Income $74,040 $55,379
Married Families 34.0% 31.0%
Poverty Level 10% 8%
Unemployment Rate 2.6 4.1

Population Comparison: Manchester vs North baltimore

  • In Manchester, the population is higher at 115,141, compared to 3,383 in North baltimore.
  • The median age in North baltimore is higher at 37.4 years, compared to 37.0 years in Manchester.
  • Manchester has a higher median income of $74,040 compared to $55,379 in North baltimore.
  • A higher percentage of married families is found in Manchester at 34.0% compared to 31.0% in North baltimore.
  • Manchester has a higher poverty level at 10% compared to 8% in North baltimore.
  • North baltimore has a higher unemployment rate at 4.1% compared to 2.6% in Manchester.

Demographics

Demographics Manchester vs North baltimore provide insight into the diversity of the communities to compare.

Demographic Manchester North baltimore
Black 6 4
White 68 89
Asian 5 Data is updating
Hispanic 12 5
Two or More Races 9 2
American Indian Data is updating Data is updating

Demographics Comparison: Manchester vs North baltimore

  • A higher percentage of Black residents are in Manchester at 6% compared to 4% in North baltimore.
  • The percentage of White residents is higher in North baltimore at 89% compared to 68% in Manchester.
  • The Asian population is larger in Manchester at 5% compared to 0% in North baltimore.
  • The Hispanic community is larger in Manchester at 12% compared to 5% in North baltimore.
  • More residents identify as two or more races in Manchester at 9% compared to 2% in North baltimore.
  • The percentage of American Indian residents is the same in both Manchester and North baltimore at 0%.

Health Statistics

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

Health Metric Manchester North baltimore
Mental Health Not Good 16.4% 18.7%
Physical Health Not Good 10.5% 12.5%
Depression 24.5% 26.1%
Smoking 17.3% 21.8%
Binge Drinking 14.6% 17.7%
Obesity 35.9% 42.6%
Disability Percentage 14.0% 18.0%

Health Statistics Comparison: Manchester vs North baltimore

  • In North baltimore, a higher percentage report poor mental health at 18.7% compared to 16.4% in Manchester.
  • Higher depression rates are seen in North baltimore at 26.1% versus 24.5% in Manchester.
  • North baltimore has a higher smoking rate at 21.8% compared to 17.3% in Manchester.
  • More residents engage in binge drinking in North baltimore at 17.7% compared to 14.6% in Manchester.
  • North baltimore has higher obesity rates at 42.6% compared to 35.9% in Manchester.
  • There is a higher percentage of disabled individuals in North baltimore at 18.0% compared to 14.0% in Manchester.

Education Levels

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

Education Level Manchester North baltimore
No Schooling 1.1% (1,316) 1.9% (63)
High School Diploma 17.0% (19,519) 28.7% (971)
Less than High School 15.1% (17,348) 15.8% (533)
Bachelor's Degree and Higher 23.1% (26,548) 7.5% (254)

Education Levels Comparison: Manchester vs North baltimore

  • In North baltimore, a larger percentage of residents lack formal schooling at 1.9% compared to 1.1% in Manchester.
  • In North baltimore, the rate of residents with high school diplomas is higher at 28.7% compared to 17.0% in Manchester.
  • The percentage of residents with less than a high school education is higher in North baltimore at 15.8%, compared to 15.1% in Manchester.
  • A higher percentage of residents in Manchester hold a bachelor's degree or higher at 23.1% compared to 7.5% in North baltimore.

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.