IDEAS home Printed from
   My bibliography  Save this paper

Modernizing Official Statistics with Big Data: A Case on PODES


  • Chaikal Nuryakin

    () (Lembaga Penyelidikan Ekonomi dan Masyarakat (LPEM), Fakultas Ekonomi dan Bisnis, Universitas Indonesia)

  • Nandaru Annabil Gumelar
  • Muhammad Dhiya Ul-Haq
  • Riefhano Patonangi
  • Andhika Putra Pratama


This study serves as an example of how Indonesia can improve its official data by using big data. In this case, we compare village potential data (PODES) published by Statistics Indonesia (BPS) with Google Places API data and ministerial data. We use the number of hospitals, high schools, and public health centers within Jakarta province as the variables. The result shows that despite counting for the same thing, there are discrepancies between all three sources with a varying margin for each variable. We discuss our findings and give suggestions in the hope of improving official data in Indonesia, which could be helped by utilizing big data as this study exemplified.

Suggested Citation

  • Chaikal Nuryakin & Nandaru Annabil Gumelar & Muhammad Dhiya Ul-Haq & Riefhano Patonangi & Andhika Putra Pratama, 2020. "Modernizing Official Statistics with Big Data: A Case on PODES," LPEM FEBUI Working Papers 202045, LPEM, Faculty of Economics and Business, University of Indonesia, revised 2020.
  • Handle: RePEc:lpe:wpaper:202045

    Download full text from publisher

    File URL:
    File Function: First version, 2020
    Download Restriction: no

    More about this item


    official statistics — big data — official data;

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:lpe:wpaper:202045. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Arianto Patunru). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.