Webinar Video

Questions from the audience

Post webinar Q&A 


Registration Details

16 November 2018; 3:00-4:00 pm CET


Register Here

(once registered, you will receive connection details)

Webinar ID



Capacity development has become a buzzword in the development sector, including in the data and statistics field. Long-term objectives will only be achieved if countries take ownership over their own development needs through dedicated capacity building programmes. The sector has become the holy grail of policy makers and development experts in their pursuit of long-term success in achieving goals such as those expressed in the 2030 Agenda and the UN Cape Town Global Action Plan for Sustainable Development.

Yet, after more than a decade of efforts, one could argue that capacity development shows mixed results at best; both in general terms and in development terms, in particular for data and statistics. In fact, the capacity development indicator of the World Bank - which tracks the ability of countries to produce more and better data - shows slow improvements. Many countries do not abide by international standards and lack basic statistics on their respective populations. Additionally, the quality and timeliness of data are still major problems for both national policy making and international monitoring. Several statistical offices face challenges when it comes to funding, modernization and defining their role in the new emerging complex data ecosystem. How is this happening?

Has capacity development shown any sign of success up until now? Should we simply de-prioritize capacity development efforts? Or is there a light ahead, with emerging approaches that could yield better results? What can we learn from capacity development so far, and what new practices can we envision for the future?

Regarding data and statistics, PARIS21, along with a number of partners, has developed a new framework over the past two years – Capacity Development 4.0 – that aims to be both relevant for the modernization efforts of national statistical systems and its offices as well as for providers/aid agencies.

Questions to be addressed

  • What has been the impact so far of capacity development, and in particular as it relates to the area of data and statistics? Have there been any tangible results? What are the lessons we can learn?

  • What improvements are needed and what new approaches are emerging? What does Capacity Development 4.0 mean and how does it address current weaknesses?

  • Are there any promising concrete projects and how could those be scaled up?

Featured speakers

Johannes Jütting, Manager, PARIS21

Shaida Badiee, Managing Director, Open Data Watch

Barbara Baredes, Policy Analyst, PARIS21

Lisa Denney, Research Associate, Overseas Development Institute

Additional Resources

Byfuglien, J. (2014). Coordination of the production of official statistics: good practices, mechanisms and tools. UNDA 9th tranche: Kick-off meeting 10 – 11 December 2014, Almaty, Kazakhstan. UNECE. Retrieved February 26, 2018, from https://www.unece.org/fileadmin/DAM/stats/documents/technical_coop/2014/mtg3/S2_Jan_Byfuglien.pdf

Denney, L. and Mallett, R. with Benson, M. S. (2017), “Service delivery and state capacity: findings from the Secure Livelihoods Research Consortium”, Secure Livelihoods Research Consortium, London, https://securelivelihoods.org/publication/service-delivery-and-state-capacity-findings-from-the-secure-livelihoods-research-consortium

Eurostat (2014). Statistics in development cooperation - improving statistical capacity. [online] Retrieved November 22, 2017, from https://ec.europa.eu/eurostat/statistics-explained/index.php/Statistics_in_development_cooperation_-_improving_statistical_capacity

Fonteneau, F. Baredes, B. and Mayard, C. (2018), Measuring Statistical Capacity Development: A review of current practices and ideas for the future – moving towards Statistical Capacity 4.0 (Working paper No. 11). Paris: PARIS21. Retrieved from http://www.paris21.org/sites/default/files/inlinefiles/Measuring-Statistical-Capacity-Development_draft.pdf

Government Statistical Service (2016). The government statistician group competency framework. Retrieved January 30, 2018, from https://gss.civilservice.gov.uk/wp-content/uploads/2016/03/GSG-Competency-Framework_March2016-1.pdf

IEAG (2014). A World that Counts: Mobilising the Data Revolution for sustainable development, Independent Expert Advisory Group on a Data Revolution for Sustainable Development

Keijzer, N. & Klingebiel, S. (2017), Realising the Data Revolution for Sustainable Development: Towards Capacity Development 4.0 (Working paper No. 9). Paris: PARIS21. Retrieved from http://paris21.org/sites/default/files/201710/CapacityDevelopment4.0_FINAL.pdf

Ngaruko, F. (2008), “The World Bank’s framework for statistical capacity measurement: strengths, weaknesses, and options for improvement”, The African Statistical Journal, 7.

OECD (2015). Recommendation of the OEDC Council on good statistical practice. Retrieved February 26, 2018, from http://www.oecd.org/statistics/good-practice-toolkit/Brochure-Good-Stat-Practices.pdf

PARIS21. (2014, July 26). NSDS Guidelines. Retrieved November 26, 2017, from http://nsdsguidelines.paris21.org

PARIS21. (2010). Advocating for the National Strategy for the Development of Statistics Country-level Toolkit.

PARIS21 (2018a), Proposing a Framework for Capacity Development 4.0, PARIS21, Paris, www.paris21.org/results-cd40-task-team

PARIS21 (2018, February 23), Draft report on responses to the joint survey on New approaches to Capacity Development and Future priorities (Rep.). Paris: PARIS21. Retrieved http://paris21.org/sites/default/files/inline-files/DRAFT%20-%20Report%20on%20joint%20survey%20results%20for%20UNSC.pdf

Taylor, M., (2016), The Political Economy of Statistical Capacity: A Theoretical Approach. Inter-American Development Bank Discussion Paper IDB-DP-471, https://publications.iadb.org/bitstream/handle/11319/7794/ThePolitical-Economy-of-Statistical-Capacity-A-Theoretical-Approach.pdf?sequence=2

UN Secretary General (UNSG) (2016) Evaluation of the contribution of the United Nations development system to strengthening national capacities for statistical analysis and data collection to support the achievement of the Millennium Development Goals and other internationally agreed development goals, A/71/430, online: http://www.un.org/ga/search/view_doc.asp?symbol=A/71/431

UNDP (2009) Capacity Development: a UNDP primer. http://www.undp.org/content/dam/aplaws/publication/en/publications/capacity-development/capacity-development-a-undp-primer/CDG_PrimerReport_final_web.pdf

World Bank (2017), Data on Statistical Capacity, The World Bank, Washington DC, http://datatopics.worldbank.org/statisticalcapacity , accessed 22 November 2017.