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In 2017, the United Nations adopted a global Sustainable Development Goals (SDG) indicator framework, calling on member countries to collect complementary national and regional indicators. Cities are crucial to channelling efforts towards sustainability through the use of these indicators. They provide an integrated approach to the city situation monitoring sustainability. However, more research is needed to understand how to adapt the goals, targets and indicators to specific municipal contexts. In 2020, the Spanish Sustainable Development Solutions Network launched the 2nd edition of the Spanish Cities Index. A set of 106 indicators allows for monitoring the implementation of the SDGs at the local level for Spanish cities. The objective is to perform a statistical audit to evaluate the consistency of the indicators and the impact of modelling assumptions on the result. The methodology used is an adaptation of the Handbook on Constructing Composite Indicator prepared by the European Commission. The indicator system is well balanced and covers the essential areas of the Sustainable Development Goals. The Spanish ranking is robust enough among the alternatives evaluated. However, some improvements are possible in the selection of indicators, e.g., removing redundant indicators and regional data. Finally, it is recommended to weigh goals based on municipal responsibility to adjust the results to the Spanish municipal context.

Measuring the advances performed in the 2030 Agenda and the contribution of public policies remains a key issue. Budgets are acknowledged as one of the most powerful tools made available to administrations to push forward this contribution, and so several initiatives have risen to align budget items and Sustainable Development Goal (SDG) performance at all levels. The aim of this paper is to go beyond simple alignment and statistically analyze the interlinkages between budget and SDG achievement data. We have used the Spanish local administrations budget, together with indicators used to measure the 2030 Agenda goals at the same level, and computed a correlation test in order to find where budget allocation has an impact. We have then looked further into the relevant impacts to split them into direct and indirect. The research found ca. 25% of the budget items with relevant statistical links to the SDGs, with the SDGs 11 and 15 being the least impacted and SDGs 1, 4, 7, 8 and 16 the most connected ones. This research aims to set the bases of an evidence-based decision-support tool for a more efficient and sustainable policy design.