Sierra Leone tender market report, August 2026
Published 22 Oct 2026 · computed by FreeTender from 38 notices
- Notices published
- 38
- Still open
- 11
- at the time of this report
- Median bid window
- 16 days
- middle half: 9–20 days
- With a stated value
- 0
- 0% of notices
Summary
In August 2026, FreeTender recorded 38 new procurement notices from buyers in Sierra Leone. The largest sector was Financial & Professional Services with 9 notices (24% of the total). Half of all notices gave bidders 16 days or less to respond. Thursday was the busiest publishing day (39% of notices).
Notices by sector
- Financial & Professional Services9 notices
- Construction & Infrastructure6 notices
- Agriculture & Food4 notices
- Social Development & Inclusion3 notices
- Education & Training3 notices
- Manufacturing & Supply3 notices
- Energy & Power2 notices
- Media, Printing & Advertising2 notices
- Real Estate & Facilities1 notices
- Research, Studies & Evaluation1 notices
- IT & Telecom1 notices
- Transport & Logistics1 notices
How buyers tendered
- Request for quotation16 notices
- Contract award7 notices
- Expression of interest6 notices
- Request for proposal4 notices
- Open tender3 notices
- Consultancy1 notices
- Invitation to bid1 notices
Publishing day
- Monday6 notices
- Tuesday5 notices
- Wednesday5 notices
- Thursday15 notices
- Friday6 notices
- Saturday1 notices
- Sunday0 notices
Most active buyers in Sierra Leone
- World Bank project7 notices
- African Development Bank project4 notices
- UNOPS4 notices
- UNFPA4 notices
- UNICEF3 notices
- UN-Women3 notices
- Ministry of Water Resources And Sanitation3 notices
- UNDP3 notices
- ILO2 notices
- ITC1 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.