Liberia tender market report, October 2026
Month to date, updated 22 Oct 2026 · computed by FreeTender from 32 notices
- Notices published
- 32
- -35% vs September 2026 (month to date)
- Still open
- 25
- at the time of this report
- Median bid window
- 13 days
- middle half: 5–19 days
- With a stated value
- 0
- 0% of notices
Summary
So far in October 2026, FreeTender recorded 32 new procurement notices from buyers in Liberia (-35% on September 2026, comparing a part month with a full one). The largest sector was Agriculture & Food with 6 notices (19% of the total). Half of all notices gave bidders 13 days or less to respond. Thursday was the busiest publishing day (28% of notices).
Notices by sector
- Agriculture & Food6 notices+20%
- IT & Telecom5 notices+25%
- Construction & Infrastructure3 notices-25%
- Education & Training3 notices+200%
- Media, Printing & Advertising2 notices+0%
- Financial & Professional Services2 notices-71%
- Manufacturing & Supply2 notices-50%
- Energy & Power2 notices-33%
- Social Development & Inclusion2 notices+100%
- Governance & Public Institutions1 notices
- Livelihoods & Enterprise Development1 notices
- Real Estate & Facilities1 notices+0%
- Water & Environment1 notices+0%
Change is against September 2026.
How buyers tendered
- Contract award18 notices
- Open tender8 notices
- Request for quotation4 notices
- Request for proposal2 notices
Publishing day
- Monday4 notices
- Tuesday4 notices
- Wednesday1 notices
- Thursday9 notices
- Friday4 notices
- Saturday2 notices
- Sunday8 notices
Most active buyers in Liberia
- World Bank project18 notices
- UNDP4 notices
- UNIDO3 notices
- Liberia Electricity Corporation2 notices
- UNICEF1 notices
- ILO1 notices
- UN-Women1 notices
- Plan International1 notices
- African Development Bank project1 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.