This Stats Café brought together experts from the Inclusive Data Charter network, including international and regional organizations and national governments, to discuss experiences in producing and using inclusive and disaggregated statistics to progress the Leave No One Behind commitment.
In order to live up to the promise inherent within the Sustainable Development Goals (SDGs), to “Leave No One Behind,” we need timely, comprehensive, and disaggregated data to better understand the situation of the poorest and most marginalized. In the Asia-Pacific region, COVID-19 has further heightened the need for accurate data on marginalized communities as the pandemic has exacerbated socio-economic inequities and disrupted data collection efforts.
While there have been some advances in methodologies on data disaggregation since the launch of the SDGs in 2015, critical challenges remain, including the lack of political will and prioritization of inclusive data, limited coordination and cooperation between data producers -especially around the utilization of existing data, and the complexities of collecting data on hard-to-reach populations.
- Welcome remarks: Gemma Van Halderen, Director, Statistics Division, ESCAP
- The Inclusive Data Charter: Kate Richards, Outreach Manager – Inclusive Data Charter Global Partnership for Sustainable Development Data
- Mainstreaming Gender across Statistical Work in Asia and the Pacific to Meet the Promise of Leaving No One Behind: Sara Duerto Valero, Regional Advisor – Gender Statistics, UN Women
- KNBS’ Work on Inclusive Data Charter and Collaboration with the Ministry of Labour And Social Protection: Renice Akinyi Bunde, Statistician Governance, Peace and Security Statistics, Kenya National Bureau of Statistics
- Leave No One Behind Priorities in the Asia-Pacific Region: Gemma Van Halderen, Director, Statistics Division, ESCAP
- Questions and answers: Petra Nahmias, ESCAP
>> See others Asia-Pacific Stats Café series