Open Government Transparency Search for gordon alexander in us

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Preview of information for gordon alexander in us

Gordon W. Alexander retired on 2008-11-18 from the State Police department (agency 321), where he worked as a State Police Trooper, 1st Class. At the time of retirement, Alexander was 53 years old and had 270905.00 days of creditable service, resulting in an average salary of $79,903.56. His annual pension amount is $65,088.24, payable in monthly installments of $5,424.02. His retirement type is AD, and his PERSON ID is 31336. The transaction number associated with his retirement is 6674781, processed in the year 2016.

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


31336270905.00STATE POLICE321667478165088.242016ALEXANDERGORDON2008-11-18T00:00:00.000STATE POLICE TROOPER,1ST CLASS79903.56535424.02ADW

      "person_id": "31336",
      "creditable_service": "270905.00",
      "department_last_worked_in": "STATE POLICE",
      "agency_last_worked_in": "321",
      "trans_no": "6674781",
      "annual_pension": "65088.24",
      "year": "2016",
      "last_name": "ALEXANDER",
      "first_name": "GORDON",
      "date_of_retirement": "2008-11-18T00:00:00.000",
      "title_at_retirement": "STATE POLICE TROOPER,1ST CLASS",
      "average_salary": "79903.56",
      "age_at_retirement": "53",
      "monthly_pension": "5424.02",
      "type_of_retirement": "AD",
      "middle_initial": "W"





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",