South Sudan tender market report, August 2026
Published 22 Oct 2026 · computed by FreeTender from 58 notices
- Notices published
- 58
- Still open
- 3
- at the time of this report
- Median bid window
- 18 days
- middle half: 14–21 days
- With a stated value
- 0
- 0% of notices
Summary
In August 2026, FreeTender recorded 58 new procurement notices from buyers in South Sudan. The largest sector was Financial & Professional Services with 8 notices (14% of the total). Half of all notices gave bidders 18 days or less to respond. Monday was the busiest publishing day (28% of notices).
Notices by sector
- Financial & Professional Services8 notices
- Water & Environment6 notices
- Construction & Infrastructure6 notices
- Transport & Logistics6 notices
- Social Development & Inclusion5 notices
- Education & Training3 notices
- Agriculture & Food3 notices
- Energy & Power2 notices
- Climate, Resilience & Disaster Risk2 notices
- IT & Telecom2 notices
- Manufacturing & Supply2 notices
- Healthcare & Pharma1 notices
- Real Estate & Facilities1 notices
- Livelihoods & Enterprise Development1 notices
How buyers tendered
- Open tender16 notices
- Expression of interest16 notices
- Request for quotation13 notices
- Request for proposal9 notices
- Consultancy4 notices
Publishing day
- Monday16 notices
- Tuesday10 notices
- Wednesday12 notices
- Thursday10 notices
- Friday8 notices
- Saturday1 notices
- Sunday1 notices
Most active buyers in South Sudan
- FAO12 notices
- IOM8 notices
- UN Secretariat8 notices
- United Nations Procurement Division5 notices
- UNDP4 notices
- UN-Women4 notices
- Ministry of Energy and Dams3 notices
- African Development Bank project3 notices
- UNICEF2 notices
- WFP2 notices
Other months
Method: counts are notices first published in the month, by the buyer's country, across all sources FreeTender reads. Bid window means days from publication to the deadline. Coverage grows as we add sources, so part of any rise can be new coverage rather than new demand. You may quote these figures with a link to this page. The underlying rows are in our open dataset.