About
Background
- The range and depth of data demands emerging out of the 2030 Agenda and the Sustainable Development Goals (SDGs) is unprecedented. The global indicator framework contains 232 indicators, addressing each of the Goals and targets of the 2030 Agenda. Therefore, the full implementation of the indicator framework to monitor the SDGs presents an enormous challenge for all countries. Significant efforts are required to strengthen national statistical capacities to provide the necessary data and statistics for the full implementation of the 2030 agenda. The UN General Assembly, in its resolution 71/313, has fully recognized the crucial importance of data for sustainable development and the urgent need to strengthen statistical capacities in countries. The Cape Town Global Action Plan for Sustainable Data also prioritizes statistical training as essential action area.
- Statistical training is a key in strengthening countries’ statistical capacities. While many international and regional institutions work in this area, a quick scan of the current scenario in how training in official statistics is provided reveals diverse approaches.
- There is, therefore, a strong need to optimize and harmonize the training offerings of various institutions, to maximize their outreach, and to ensure that trainings are delivered in a more efficient and cost-effective manner. Many international and regional organizations engaged in statistical training recognize this, and through various fora, have agreed to establish a Global Network of Institutions for Statistical Training.