A mechanism for predicting whether individual regions will meet there UN Sustainability for Development Goals (SDGs) is presented which takes into consideration the potential relationships be- tween time series associated with individual SDGs, unlike previous work where an independence assumption was made. The challenge is in identifying the relationships and then using these relationships to make SDG attainment predictions. To this end, the SDG Relational Multivariate Forecast- ing (SDG-RMF) attainment prediction methodology is presented. A multivariate forecasting mechanism for forecasting SDGs time series The results demonstrate that by considering the relationships between time series, more accurate SDG forecast predictions can be made.
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