Health Insurance Coverage Status by Sex by Age in Brown County, Minnesota

Pansop is built to make people more knowledgeable around specific topics. We analyzed Health Insurance Coverage status by Sex by Age trend from 2012 & 2015 across all geographic locations in the US Health Insurance Coverage status by Sex by Age are impacted due to factors such as premium, age of insurer, pre-existing medical conditions, profession and gender of insurers.

The key elements in the research are

  1. Age
  2. Gender
  3. Insurance coverage 

Our key findings

CountyBrown County
Male without insurance with age above 55 201596
Male without insurance with age above 55 201271
Male without insurance with age above 55 % change35.2
Male without insurance with age above 55 change rank compared to US514
Male without insurance with age above 55 change rank compared to Minnesota17
FeMale without insurance with age above 55 201585
FeMale without insurance with age above 55 2012112
FeMale without insurance with age above 55 % change-24.1
FeMale without insurance with age above 55 change rank compared to US2,519
FeMale without insurance with age above 55 change rank compared to Minnesota66