Haiti tender market report, September 2026
Published 22 Oct 2026 · computed by FreeTender from 52 notices
- Notices published
- 52
- +37% vs August 2026
- Still open
- 21
- at the time of this report
- Median bid window
- 14 days
- middle half: 10–22 days
- With a stated value
- 0
- 0% of notices
Summary
In September 2026, FreeTender recorded 52 new procurement notices from buyers in Haiti (+37% on August 2026). The largest sector was Healthcare & Pharma with 12 notices (23% of the total). Half of all notices gave bidders 14 days or less to respond. Wednesday was the busiest publishing day (29% of notices).
Notices by sector
- Healthcare & Pharma12 notices+200%
- Construction & Infrastructure8 notices+100%
- Transport & Logistics6 notices+0%
- IT & Telecom5 notices+150%
- Financial & Professional Services5 notices+25%
- Facility Management & Cleaning4 notices+100%
- Energy & Power2 notices
- Water & Environment2 notices-33%
- Social Development & Inclusion2 notices
- Research, Studies & Evaluation1 notices-50%
- Agriculture & Food1 notices
Change is against August 2026.
How buyers tendered
- Contract award17 notices
- Request for quotation13 notices
- Request for proposal8 notices
- Open tender6 notices
- Expression of interest6 notices
- Grant / funding call1 notices
- Consultancy1 notices
Publishing day
- Monday5 notices
- Tuesday14 notices
- Wednesday15 notices
- Thursday6 notices
- Friday11 notices
- Saturday1 notices
- Sunday0 notices
Most active buyers in Haiti
- World Bank project17 notices
- UNOPS7 notices
- UNDP6 notices
- UN Secretariat5 notices
- ILO5 notices
- United Nations Procurement Division3 notices
- HI- Humanity & Inclusion2 notices
- Unité de Coordination de Projets du Ministère de l’Economie et des Finances1 notices
- COAR1 notices
- WFP1 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.