Demographics details for Glen elder, KS vs Portsmouth, NH

Population Overview

Compare main population characteristics in Glen elder, KS vs Portsmouth, NH.

Data Glen elder Portsmouth
Population 363 22,713
Median Age 42.7 years 42.1 years
Median Income $65,417 $100,169
Married Families 80.0% 40.0%
Poverty Level 10% 5%
Unemployment Rate 3.0 2.1

Population Comparison: Glen elder vs Portsmouth

  • The population in Portsmouth is higher at 22,713, compared to 363 in Glen elder.
  • Residents in Glen elder have a higher median age of 42.7 years compared to 42.1 years in Portsmouth.
  • Portsmouth has a higher median income of $100,169, compared to $65,417 in Glen elder.
  • A higher percentage of married families is found in Glen elder at 80.0% compared to 40.0% in Portsmouth.
  • Glen elder has a higher poverty level at 10% compared to 5% in Portsmouth.
  • The unemployment rate in Glen elder is higher at 3.0%, compared to 2.1% in Portsmouth.

Demographics

Demographics Glen elder vs Portsmouth provide insight into the diversity of the communities to compare.

Demographic Glen elder Portsmouth
Black Data is updating 1
White 86 89
Asian 2 4
Hispanic 7 2
Two or More Races 5 4
American Indian Data is updating Data is updating

Demographics Comparison: Glen elder vs Portsmouth

  • In Portsmouth, the percentage of Black residents is higher at 1% compared to 0% in Glen elder.
  • The percentage of White residents is higher in Portsmouth at 89% compared to 86% in Glen elder.
  • In Portsmouth, the Asian population stands at 4%, greater than 2% in Glen elder.
  • The Hispanic community is larger in Glen elder at 7% compared to 2% in Portsmouth.
  • More residents identify as two or more races in Glen elder at 5% compared to 4% in Portsmouth.
  • The percentage of American Indian residents is the same in both Glen elder and Portsmouth at 0%.

Health Statistics

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

Health Metric Glen elder Portsmouth
Mental Health Not Good 15.8% 14.0%
Physical Health Not Good 10.2% 8.1%
Depression 21.3% 22.8%
Smoking 17.7% 11.5%
Binge Drinking 19.5% 18.5%
Obesity 38.5% 27.6%
Disability Percentage 22.0% 10.0%

Health Statistics Comparison: Glen elder vs Portsmouth

  • More residents in Glen elder report poor mental health at 15.8% compared to 14.0% in Portsmouth.
  • Higher depression rates are seen in Portsmouth at 22.8% versus 21.3% in Glen elder.
  • Smoking is more prevalent in Glen elder at 17.7% compared to 11.5% in Portsmouth.
  • Binge drinking is more common in Glen elder at 19.5% compared to 18.5% in Portsmouth.
  • Obesity rates are higher in Glen elder at 38.5% compared to 27.6% in Portsmouth.
  • Disability percentages are higher in Glen elder at 22.0% compared to 10.0% in Portsmouth.

Education Levels

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

Education Level Glen elder Portsmouth
No Schooling 0.6% (2) 0.3% (65)
High School Diploma 30.3% (110) 10.8% (2,450)
Less than High School 1.7% (6) 4.0% (898)
Bachelor's Degree and Higher 16.5% (60) 47.4% (10,777)

Education Levels Comparison: Glen elder vs Portsmouth

  • A higher percentage of residents in Glen elder have no formal schooling at 0.6% compared to 0.3% in Portsmouth.
  • A higher percentage of residents in Glen elder hold a high school diploma at 30.3% compared to 10.8% in Portsmouth.
  • The percentage of residents with less than a high school education is higher in Portsmouth at 4.0%, compared to 1.7% in Glen elder.
  • In Portsmouth, a larger share of residents have a bachelor's degree or higher at 47.4% compared to 16.5% in Glen elder.

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.