Reporting on SDGs

Using LANDex to monitor the SDGs allows us to highlight how land, land rights and land governance are woven throughout social, economic and environmental goals, targets and indicators of the SDGs.

For the first time, land and land governance have been included in global monitoring frameworks, confirming their centrality to the livelihoods, wellbeing and opportunities for all. The Sustainable Development Goals (SDGs), beyond setting goals explicitly related to land, include a number of goals and targets where the importance of land is implicit, if hidden. Climate action, reduced inequalities, food systems to end hunger and gender equality are all bound to the achievement of land rights. Without land, inclusive, sustainable development that “leaves no one behind” cannot be achieved.

Beyond land-related goals, Agenda 2030 calls for timely, reliable data on a number of key land indicators. But monitoring of land in the SDGs remains limited. It is limited in its scope, as core land indicators often fail to capture complexities of land governance on the ground. It is limited in the data and data sources employed, relying heavily on government and official data with priority given to documented land rights. And it is limited by the fact that reporting remains voluntary, meaning that many countries simply do not report on land and land governance.

In a review of 42 of the 47 countries presenting Voluntary National Reviews (VNRs) in 2020, the SDG Land Momentum Group found that none of the 42 countries had reported data on key land indicator 1.4.2, 10 had reported data for 5.a.1, five for 5.a.2 and seven for 15.3.1 The need for complementary land monitoring initiatives that can promote broad data systems has become clear. Working with its members and partners, the International Land Coalition (ILC) has endeavored to build a land ecosystem that responds to these limitations.

Using LANDex, its tool for people-centred land monitoring, it seeks to make land monitoring more inclusive, accessible, and to overcome single-source data dependence while capturing the complexity of land governance in various contexts.