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Improving the Productivity of National Offices for Statistics: Suriname Case Study

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dc.contributor.authorMedina Giopp, Alejandro
dc.contributor.authorMontes, Jose
dc.contributor.authorAldanondo, Jorge Martínez
dc.contributor.authorGadsden De La Peza, Paola
dc.contributor.authorde Hoop, Jacobus Joost
dc.date.accessioned2024-02-07T16:07:44Z
dc.date.available2024-02-07T16:07:44Z
dc.date.issued2023-07-31
dc.description.abstractThis Suriname case study presents the main conclusions of the application of Improving the Productivity of National Offices for Statistics (IPNOS), a tool developed by the World Bank to assess the functioning of national statistical offices (NSOs). This approach was implemented at the General Bureau of Statistics (Algemeen Bureau voor de Statistiek, ABS), the NSO of Suriname, in May-July 2023. The exercise has allowed the comprehensive identification of the main strengths, weaknesses, opportunities, and challenges related to statistical production and dissemination in the country, as well the ABS coordination role with producers of national statistical systems (NSSs). The assessment has provided ABS with an action plan for the improvement of this crucial task in the future and has offered key recommendations for the implementation of the plan.en
dc.identifierhttp://documents.worldbank.org/curated/en/099712002052433660/IDU139dfe36d1cf7e142901b045118374f710b56
dc.identifier.doi10.1596/41012
dc.identifier.urihttps://openknowledge.worldbank.org/handle/10986/41012
dc.languageEnglish
dc.publisherWashington, DC: World Bank
dc.rightsCC BY-NC 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/igo
dc.subjectNATIONAL OFFICES OF STATISTICS
dc.subjectNATIONAL STATISTICAL OFFICES
dc.subjectGENERAL BUREAU OF STATISTICS
dc.subjectALGEMEEN BUREAU VOOR DE STATISTIEK (ABS)
dc.titleImproving the Productivity of National Offices for Statisticsen
dc.title.subtitleSuriname Case Studyen
dspace.entity.typePublication
okr.crossref.titleImproving the Productivity of National Offices for Statistics: Suriname Case Study
okr.date.disclosure2024-02-05
okr.date.doiregistration2025-05-01T02:27:13.803945Z
okr.date.lastmodified2024-02-05T00:00:00Zen
okr.doctypeReport
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099712002052433660/IDU139dfe36d1cf7e142901b045118374f710b56
okr.guid099712002052433660
okr.identifier.docmidIDU-39dfe36d-cf7e-4290-b045-18374f710b56
okr.identifier.doihttp://dx.doi.org/10.1596/41012
okr.identifier.externaldocumentum34251939
okr.identifier.internaldocumentum34251939
okr.identifier.report187558
okr.import.id3089
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099712002052433660/pdf/IDU139dfe36d1cf7e142901b045118374f710b56.pdfen
okr.region.administrativeLatin America & Caribbean
okr.region.countrySuriname
okr.topicStatistical and Mathematical Sciences
okr.topicEconomic Theory and Research
okr.unitEFI-LCR-POV-Poverty and Equity (ELCPV)
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