Open Government Transparency Search for leonard alkins in us

Search inside dataset "ALLPENSIONS" (e.g., "john smith")

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Preview of information for leonard alkins in us

Leonard Alkins, whose PERSON ID is 29659, retired from the SENATE RULES COMMITTEE (department 282) on March 15, 2002, at the age of 57. As of 2016, he had 390216.00 days of CREDITABLE SERVICE, resulting in an ANNUAL PENSION of $53682.72, which translates to a MONTHLY PENSION of $4473.56. His AVERAGE SALARY at retirement was $73985.00. The TYPE OF RETIREMENT is SA, and the TRANS NO associated with his retirement is 6317580.

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Total datasets: 1 load time 0.06 min

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

{"serviceMillis":39,"searchMillis":[13,7]}

person_idcreditable_servicedepartment_last_worked_inagency_last_worked_intrans_noannual_pensionyearlast_namefirst_namedate_of_retirementtitle_at_retirementaverage_salaryage_at_retirementmonthly_pensiontype_of_retirement
29659390216.00SENATE RULES COMMITTEE282631758053682.722016ALKINSLEONARD2002-03-15T00:00:00.000SENATE DEFAULT73985.00574473.56SA


  data:
    [
   {
      "person_id": "29659",
      "creditable_service": "390216.00",
      "department_last_worked_in": "SENATE RULES COMMITTEE",
      "agency_last_worked_in": "282",
      "trans_no": "6317580",
      "annual_pension": "53682.72",
      "year": "2016",
      "last_name": "ALKINS",
      "first_name": "LEONARD",
      "date_of_retirement": "2002-03-15T00:00:00.000",
      "title_at_retirement": "SENATE DEFAULT",
      "average_salary": "73985.00",
      "age_at_retirement": "57",
      "monthly_pension": "4473.56",
      "type_of_retirement": "SA"
   }
]

  keys:
    [
   "person_id",
   "creditable_service",
   "department_last_worked_in",
   "agency_last_worked_in",
   "trans_no",
   "annual_pension",
   "year",
   "last_name",
   "first_name",
   "date_of_retirement",
   "title_at_retirement",
   "average_salary",
   "age_at_retirement",
   "monthly_pension",
   "type_of_retirement"
]
    

directoryQuery: https://api.us.socrata.com/api/catalog/v1?ids=3zah-qrsj&limit=100

permalink: https://cthru.data.socrata.com/d/3zah-qrsj

dataQuery: https://cthru.data.socrata.com/resource/3zah-qrsj.json?$select=person_id%2Ccreditable_service%2Cdepartment_last_worked_in%2Cagency_last_worked_in%2Ctrans_no%2Cannual_pension%2Cyear%2Clast_name%2Cfirst_name%2Cdate_of_retirement%2Ctitle_at_retirement%2Caverage_salary%2Cage_at_retirement%2Cmonthly_pension%2Ctype_of_retirement%2Cmiddle_initial&$order=last_name%20desc&$limit=10&$offset=0&$q=leonard%20alkins

Sites such as socrata.com appear to be tools to bring transparency to our governments. But what do they actually do in practice. This site attempts to use socrata.com (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.

Employee Salaries This dataset provides base salary information abou... Ramona Benson, Department of Human Resources Search
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Budget - Salaries Budgeted Salaries by Position null Search
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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!

Socrata Meta Catalog API

The Socrata Meta Catalog API provides access to metadata about the datasets and tables available on the Socrata Open Data Portal.

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  2. Get an API access token from the API Access Tokens page.
  3. Send a GET request to the /catalog/v1 endpoint with the following parameters:

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The response will be a JSON object containing an array of dataset objects. Each dataset object will contain the following properties:

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    debug: columns: name:
    [
   "AGE AT RETIREMENT",
   "AGENCY LAST WORKED IN",
   "ANNUAL PENSION",
   "AVERAGE SALARY",
   "CREDITABLE SERVICE",
   "DATE OF RETIREMENT",
   "DEPARTMENT LAST WORKED IN",
   "FIRST NAME",
   "LAST NAME",
   "MIDDLE INITIAL",
   "MONTHLY PENSION",
   "PERSON ID",
   "TITLE AT RETIREMENT",
   "TRANS NO",
   "TYPE OF RETIREMENT",
   "YEAR"
]

    debug: columns: type:
    [
   "Calendar date",
   "Number",
   "Number",
   "Number",
   "Number",
   "Number",
   "Number",
   "Number",
   "Number",
   "Text",
   "Text",
   "Text",
   "Text",
   "Text",
   "Text",
   "Text"
]