As various global restrictions related to the COVID-19 pandemic continue, so do disruptions to the operations of National Statistical Offices. This comes at a time when data remain key to inform evidence-based policymaking that addresses the manifold public health, economic, and social challenges countries face.
While a crucial role has accrued to National Statistical Offices (NSOs) in supporting government action, navigating the restrictions the pandemic imposes on their operation has brought about new challenges for them. To understand these new challenges and NSOs’ needs, the Statistics Division of the United Nations Department of Economic and Social Affairs and the World Bank's Development Data Group in coordination with the five UN regional commissions, just released the results of the third round of a global online survey to monitor the impact of the coronavirus crisis on NSOs.
The first round of the survey, released in June, highlighted the heavy impact of the crisis on NSOs that nonetheless were stepping up to new data demands. The second round, published in August, in turn, identified a crucial need for better coordination and technical assistance to avoid further exacerbation of global data inequalities.
Now, findings from the third round of the survey, completed in October with 125 countries participating, give a glimpse of the long-term impacts of the COVID-19 pandemic on NSOs’ operations.
Here are some key findings from the latest report:
NSOs are developing new fieldwork protocols to collect data under COVID-conditions. Slightly more than half of surveyed NSOs have already developed new protocols such as updated guidelines for travelling, contacting respondents, conducting interviews, and practicing social distancing. Among those without new protocols, almost eight in ten NSOs would consider it useful if such protocols were developed in the future. Interest in the future elaboration of new protocols is particularly high in low and middle-income countries highlighting a crucial area for support through the international community. Out of the countries with new protocols, 43 percent signaled their willingness to share them with other countries. The Intersecretariat Working Group on Household Surveys has been working on a technical note providing practical guidance for planning and implementing household surveys under COVID-19 which is going to be published on their website.
NSOs are heavily involved in collecting data to track the spread and the impact of the COVID-19 pandemic, in many cases forming partnerships to do so. Among all NSOs interviewed, 82 percent are involved in collecting data on COVID-19 and its impacts. Notably, approximately 9 in 10 respondents from Sub-Saharan Africa and in Northern Africa and Western Asia (SDG region corresponding to the Middle East and North Africa - MENA) indicated their offices are planning or already implementing efforts to collect data on COVID-19 and its impacts. These efforts have been supported through partnerships with international or public sector partners and, somewhat less frequently, private sector partners. International partnerships account for the highest share in low and middle-income countries, while public sector partnerships are predominant in their highincome counterparts.
As 2020 draws to a close, disruptions to NSOs continue and challenge them to step up to meet new data demands. To fulfill their critical role during the crisis, NSOs have shown adaptability by developing new protocols, forming new partnerships, and tapping into new technologies, data sources, and methods. However, there is no doubt that more technical support and collaboration is required to ensure data production continues. Particularly in low and lower-middle income countries where financial and technological resources are scarcer and access to administrative data sources is less developed, international partners play an important role. Here, a concerted effort by the international community focused on NSOs' needs will be key in order to transition to more resilient statistical systems.
An additional round of data collection is planned to take place in January 2021, and the results will be disseminated in March.
Ivette Contreras is a Consultant at the Data Production and Methods Unit of the Development Data Group of the World Bank. She is a Ph.D. Candidate in Economics at George Washington University. Her research is focused on development economics, with special emphasis on migration, and survey methods. Read More
Yannick Markhof is a Consultant in the Data Production and Methods Unit of the World Bank's Development Data Group. His research interests are broad, spanning social protection, political economy aspects of economic development, behavioral economics, and innovation in the measurement of key development indicators focusing on low- and middle-income countries. Before joining the World Bank, he worked at the UNDP's International Policy Centre for Inclusive Growth (IPC-IG) where he was a lead researcher on projects surrounding social protection in the South Asia region. He holds a postgraduate degree in Economics for Development from the University of Oxford. Read More
Luis Gonzalez Morales is Chief of the Web Development and Data Visualization Unit and focal point on Data Revolution for Sustainable Development at the UN Statistics Division. He is part of the Secretariat’s team organizing the UN World Data Forum and supporting the Highlevel Group for Partnership, Coordination and Capacity-Building for statistics for the 2030 Agenda for Sustainable Development, and coleads initiatives in data interoperability and integration of geospatial information and statistics for the SDGs. Since he joined the Statistics Division in 2005, Luis has worked with national statistical offices and international partners on methodology and capacity development projects, particularly in the fields of economic statistics, data quality, development indicators, and the coordination of national statistical activities for the SDGs. He has a PhD in Economics from the University of Bochum in Germany and an MSc in Statistics from the Monterrey Institute of Technology and Higher Studies in Mexico.
Philip Wollburg is an Economist in the World Bank’s Development Data Group in the Data Production and Methods Unit. His research interests include agriculture, poverty, and climate impacts in low-income countries, as well as methodological aspects of and technological innovation in the measurement of key development indicators. Prior to joining the World Bank, he worked with the Food and Agriculture Organization of the UN (FAO) and led a project aimed at delivering innovative renewable energy solutions to smallholder agricultural and fisheries communities in East Africa. He holds a post-graduate degree in development economics from the University of Oxford. Read More
Alberto Zezza is a Senior Economist in the Development Data Group of the World Bank. His research interests are in the area of agricultural and rural development, rural poverty reduction, food security and migration. He is part of the Living Standards Measurement Study (LSMS) team, where he focuses specifically on improving the availability and quality of food consumption and of livestock data in LSMS-type household surveys. Prior to joining the World Bank, he was with the Agricultural Development Economics Division of the Food and Agriculture Organization of the UN (FAO). He holds a Ph.D. in Agricultural and Development Economics from the University of Rome, and a M.A. in Development Economics from the University of Sussex. Read More