tanzania & kenya

Dr. Albina Chuwa, Director General of Tanzania National Bureau of Statistics and colleagues watching ADAPT in action as Rajiv Ranjan from PARIS21 demonstrates.  

PARIS21 participated in the Tanzania National Workshop on Data Roadmap for Sustainable Development (August 12-13, 2016) and Kenya National Workshop on SDGs Roadmap and Data Ecosystem (August 15-16, 2016).

Organised by the Global Partnership for Sustainable Development Data (GPSDD), in Tanzania, with the National Bureau of Statistics and in Kenya with the Office of the Deputy President, the workshops generated awareness among participants about the Sustainable Development Goals (SDGs) and underlined the roles of different stakeholders, including the National Statistical Systems, in the data revolution. The workshops facilitated the understanding and need for mapping the data ecosystem, including capacity and budget aspects, and possible sources of support towards reporting on the SDG indicators.

PARIS21 showcased its Advanced Data Planning Tool (ADAPT) during both events. The National Statistics Offices of Tanzania and Kenya appreciated the value in overlaying indicators for the SDGs and national development plans, in order to assess data gaps for both programming tools – a functionality, which is comprehensibly facilitated by ADAPT. 

See other articles

The Partnership Report on Support to Statistics (PRESS) 2017 was launched during the International Conference on SDGs held in Manila, Philippines on 4-6 October 2017. The PRESS(...)
The 2017 International Conference on Sustainable Development Goals Statistics (ICSDGS),held on 4-6 October 2017 in Manila, Philippines, focused on Level Up: Shaping a Stron(...)
Media Review Funding Data for Development: Essential to Achieve SDGs « An increase of merely 200 million in Official Development Assistance would enable d(...)
PARIS21 supported Peru's National Statistical System workshop for the development of their NSDS. The workshop was held on Sept. 28 and included over 240 representatives from ov(...)