Some prominent critics have argued that the Sustainable Development Goals (SDGs) aren’t measurable. This is a problem, they say, because for goals to be meaningful, you need a baseline to understand where things are starting and at least one other data point to assess progress. Despite these criticisms, the 17 goals and 169 targets for the SDGs are will likely be ratified next month at the UN General Assembly. Meanwhile, the UN Statistical Division is trying to choose among as many as 1063 proposed indicators. How many will actually be ratified is not clear. Even the most limited set would include 100 global indicators and 69 nationally monitored indicators. This is substantially more than the 61 indicators used to monitor the Millennium Development Goals (MDGs). While baselines are important, experience with the MDGs show that even without good baselines, progress can be made towards important goals. Furthermore, a relatively small increase in support for statistics can go a long way to developing a robust system for monitoring the SDGs.
How important are baselines? We need to start somewhere, but it is helpful to look at how well the international community tracked progress towards the MDGs. The UN’s website on the MDG indicators provides information about how many countries have two data points for each indicator. Two data points is the bare minimum to know if there has been progress towards indicator. Without at least two data points, we don’t know whether things are improving, stagnating, or deteriorating.
The MDG database reports that there are two observations for the percentage of people living in extreme poverty for only 52 percent of developing countries. For maternal mortality rates, only 14 percent of developing countries have two observations. How confident can we be that there has been progress towards the MDGs with so little information? While it is difficult to know if progress has been made for indicators as important as maternal mortality, SDG indicators are being proposed that go well beyond the ability of countries to currently produce. Imagine how difficult it would be for the 86 percent of countries that don’t have two observations for maternal mortality to produce indicators such as “Percentage of 15-year old students enrolled in secondary school demonstrating at least a fixed level of knowledge across a selection of topics in environmental science and geoscience.”
So the problem isn’t baselines. It’s getting regular, reliable measurements on difficult issues. Truly, a data revolution will be required before the SDGs, in all their richness and complexity, can be adequately measured.
The good news is that most countries now have at least one observation for most MDG indicators, and many have embraced the opportunities of the data revolution. We have highlighted some steps local and international actors can take to effectively monitor the SDGs and take advantage of new data innovations and use of new data sources. With the Sustainable Development Solutions Network, we estimate that improving the statistical capacity of the 77 poorest developing countries to measure most of the SDGs would only require an additional $500 million a year on top of the estimated current levels of $500 million a year, of which only $200 million would be needed from aid donors. Such a modest increase will put countries well on their way to monitoring the SDGs.
We also must remember that producing baselines is not enough. Low quality baselines may be worse than no data at all, giving a misleading sense of progress or a lack of progress. Part of the solution is embracing open data and open government and to stimulate greater use of data. When the public can easily access, use, and scrutinize indicators, governments have more interest in funding statistics, and the quality of data will improve.
This guest post is part of a series around data considerations for SDG success; read the first post here.
From June 2021 to September 2022, Development Gateway: An IREX Venture’s (DG’s) Visualizing Insights on Fertilizer for African Agriculture (VIFAA) program convened 12 Fertilizer Technical Working Groups in 14 countries which have yielded essential information on Africa’s fertilizer sector, including insights on how geopolitical events have impacted the fertilizer sector and what is needed to mitigate resulting threats to food security throughout Africa.
In the first part of this blog series, we discussed the CALM assessment of the cashew data ecosystem, key findings from the assessment, and how DG is using the findings as well as partner and stakeholder feedback to guide the development of the Cashew-IN platform, a website that will facilitate access to and use of data to improve decision-making for policymakers, farmers, and the private sector. In this blog, we will look at the indicators on the Cashew-IN platform and what the data is telling us about the cashew sector more broadly.
The Cashew-IN program, which DG started in partnership with Cultivating New Frontiers in Agriculture in 2020, conducted a landscape assessment of the data in the cashew sectors of five countries: Côte d’Ivoire, Benin, Burkina Faso, Ghana, and Nigeria. The assessment findings will inform the Cashew-IN platform, a website that the program is developing to facilitate use of data in order to improve decision-making for policymakers, farmers, and the private sector. In this blog (part 1 of 2), we explore the assessment process, findings, and how stakeholders plan to use the platform.