title: Profile of the public health workforce: registered TRAIN learners in the United States.
abstract: OBJECTIVE
  We analyzed data from the TrainingFinder Real-time Affiliate Integrated Network (TRAIN), the most widely used public health workforce training system in the United States, to describe the public health workforce and characteristics of individual public health workers.
  
  
  METHODS
  We extracted self-reported demographic data of 405,095 learners registered in the TRAIN online system in 2012.
  
  
  RESULTS
  Mirroring the results of other public health workforce studies, TRAIN learners are disproportionately women, college educated, and White compared with the populations they serve. TRAIN learners live in every state and half of all zip codes, with a concentration in states whose public health departments are TRAIN affiliates. TRAIN learners' median age is 46 years, and one third of TRAIN learners will reach retirement age in the next 10 years.
  
  
  CONCLUSIONS
  TRAIN data provide a limited but useful profile of public health workers and highlight the utility and limitations of using TRAIN for future research.
authors.affiliation: Jeffery A. Jones and Nathan Walker are with the Jiann-ping Hsu College of Public Health, Georgia Southern University, Statesboro. Lois Banks and Ilya Plotkin are with the Public Health Foundation, Washington, DC. Sunny Chanthavongsa lives in Washington, DC.
authors.forename: Jeffery A
authors.initials: JA
authors.lastname: Jones
authors.forename: Lois
authors.initials: L
authors.lastname: Banks
authors.forename: Ilya
authors.initials: I
authors.lastname: Plotkin
authors.forename: Sunny
authors.initials: S
authors.lastname: Chanthavongsa
authors.forename: Nathan
authors.initials: N
authors.lastname: Walker
mesh_terms: D004189:Disaster Planning / Q000458:organization & administration*; D020375:Education, Distance; D006282:Health Personnel / Q000193:education*; D006801:Humans; D007318:Inservice Training / Q000706:statistics & numerical data*; D020407:Internet; D011634:Public Health; D015980:Public Health Practice; D012737:Sex Factors; D012959:Socioeconomic Factors; D014481:United States; D000078329:Workforce