Open Government Transparency Search for elaine alpert in us

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Preview of information for elaine alpert in us

Elaine D. Alpert, a Human Services Coordinator (A/B), retired on September 22, 2013, at the age of 56. She had worked for the Westborough State Hospital under agency 1115 and had accumulated 340,205.00 in creditable service. Her average salary was $59,365.38, and her annual pension is $43,374.60, which translates to a monthly pension of $3,614.55. Her PERSON ID is 181708, and her TRANS NO is 38704017. Her type of retirement is SA, and this information is for the year 2016.

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ALLPENSIONS null 2016-11-30T18:14:04.000Z Search


181708340205.00WESTBOROUGH STATE HOSPITAL11153870401743374.602016ALPERTELAINE2013-09-22T00:00:00.000HUMAN SERVICES COORD (A/B)59365.38563614.55SAD

      "person_id": "181708",
      "creditable_service": "340205.00",
      "department_last_worked_in": "WESTBOROUGH STATE HOSPITAL",
      "agency_last_worked_in": "1115",
      "trans_no": "38704017",
      "annual_pension": "43374.60",
      "year": "2016",
      "last_name": "ALPERT",
      "first_name": "ELAINE",
      "date_of_retirement": "2013-09-22T00:00:00.000",
      "title_at_retirement": "HUMAN SERVICES COORD (A/B)",
      "average_salary": "59365.38",
      "age_at_retirement": "56",
      "monthly_pension": "3614.55",
      "type_of_retirement": "SA",
      "middle_initial": "D"





Sites such as appear to be tools to bring transparency to our governments. But what do they actually do in practice. This site attempts to use (and hopefully all other "open transparency sites") to understand what the state of affairs are at the moment.

A summary view of the catalog when you filter for the word salary shows the lack of standarization.

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The screenshot shows a sample of name and descriptions of government uploaded salary transparency information. First of all, the information appears to be not easy to find for the general public. And even if the general public finds it, it is hard to tell what government it applies to. For example, there are datasets that simply have the name "Employee Salaries" and some that have no attribution at all. The column names are a mix of whatever the hundreds of individuals decided to use. This makes organization difficult, but not impossible.

Let's organize the information and overcome the obstacles!

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    debug: columns: name:
   "TRANS NO",

    debug: columns: type:
   "Calendar date",