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Administrative data and monitoring of the SDG strengthening the data coverage Presentation at International Seminar on World Statistics: Sustainable Data for Sustainable Development , Xian 21 October 2015 Jrgen Elmeskov


  1. Administrative data and monitoring of the SDG – strengthening the data coverage Presentation at International Seminar on “World Statistics: Sustainable Data for Sustainable Development ”, Xi’an 21 October 2015 Jørgen Elmeskov Director-General, Statistics Denmark

  2. Background  SDG monitoring is a challenge to all countries  We will approach it differently depending on our starting point: capacity, public attitudes, etc.  My message: for some countries there is a big opportunity in more systematic use of administrative data  Cheap and reliable monitoring of (some of) the SDGs, with a high degree of granularity  Improved statistical capacity in general  Improved public administration  More scope for evidence-based policy 2

  3. How does it work ? The statistical information system in Denmark Educa- Employ- tion ment CPR Person id: Inter- Tax Person Number view Question- Social naire Health Dwelling id: Enterprise id: etc Address CBR-No VAT Cadastre BDR CBR 3

  4. What are the prerequisites?  Systematic use of unique identifiers in administrative procedures  Ability, right and legal clearance for the statistical institution to use and combine administrative registers  NOT sophisticated IT equipment and IT developers  The Danish system was launched in the 1960s and 70s, when IT capacity was miniscule compared with today and IT developers few and far between 4

  5. What are the benefits in general?  Efficient public administration  This, not better statistics, was the main selling point in Denmark  High quality statistics  The end of sampling uncertainty  Continuity, coherence and comparability of statistics  Cheap statistics  Census in China – 10 million census workers  Census in USA – 0.5 million census workers  Census in Denmark – 2 census workers (and can be conducted on a daily basis)  Research opportunities based on integrated, coherent, longitudinal data  Scope for improved policy design 5

  6. And the benefits in the SDG context?  Allows monitoring of many goals  More on the human/social side than on the environmental side  Granularity by age, gender, income, geography etc.  Easy to monitor ‘ leaving no one behind ’  Continuity allows monitoring of progress  Responds to the objective of capacity building 6

  7. What are the downsides?  Privacy concerns  The fear of Big Brother will turn away some countries - Different levels of trust are a fact  Risks associated with data security glitches - Breaches of confidentiality are bad in themselves and could jeopardise the whole ”business model”  Political pressure for administrative use of statistical data  Vulnerability to changes in administrative procedures 7

  8. How to bring it about?  Convincing decision makers – investments in capacity-building  Establishing a legal framework to ensure adequate data protection  Ensuring cooperation and unity of approach across different governmental agencies  Establishing a legal framework for access by statistical institutions to administrative data 8

  9. Summing up  Administrative data can help monitor the SDG and strengthen national statistical systems in general  Low costs, possibility for data disaggregation and a sound basis for evidence-based decision making are among the major benefits  There are risks, but they can be overcome  Administrative data provide a unique opportunity for capacity-building and ensuring national ownership of the process 9

  10. Thank you 谢谢 10

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