Guinea-Bissau Climate
Top 5 Cities: Bissau, Bafatá, Gabu, Bissorã, and Bolama
This month in numbers
Guinea-Bissau experienced its 10th warmest April on record in 2026, with an average temperature of 29.82°C, an anomaly of +0.8°C compared to the 1961–1990 baseline. The three-month period from February to April 2026 also ranked as the 11th warmest on record, with an average temperature of 28.74°C, an anomaly of +0.7°C. Globally, April 2026 was the 2nd warmest April for land temperatures on record, with an anomaly of +1.1°C, while the February–April 2026 period also ranked as the 2nd warmest globally for land temperatures, with an anomaly of +1.2°C.
What changed
Guinea-Bissau's consistently warmer-than-average temperatures over the past six months, with anomalies ranging from +0.6°C to +1.4°C, align with a broader regional trend of increasing temperatures in West Africa. The country's long-term warming trend stands at +0.89°C compared to the 1961–1990 baseline. Guinea-Bissau ranked 197th out of 234 regions for its 1-month temperature anomaly and 214th for its 3-month anomaly, indicating that while it is experiencing warming, other regions globally are seeing more extreme temperature shifts.
What’s driving change?
The persistent warming in Guinea-Bissau is influenced by the broader global trend of increasing temperatures, with land warming faster than ocean. The current ENSO state is Neutral, with a +0.11°C anomaly in the Niño 3.4 region for February-April 2026. However, forecasts indicate a strong likelihood of an El Niño developing in the coming months, with a 61% chance for May-July and a 79% chance for June-August. El Niño typically brings warmer and drier conditions to Guinea-Bissau. In June 2025, the city of Gabu was affected by a severe windstorm accompanied by heavy rainfall, which damaged housing and public infrastructure, affecting over 3,000 people.
Looking ahead
An evolving El Niño phase suggests a likelihood of warmer and drier conditions for Guinea-Bissau in the coming months.
Sources:
Generated by Gemini from climate data and web sources
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Data Sources
Data Sources for Guinea-Bissau
Every figure on this page is sourced from official, openly published climate datasets. Anomalies are calculated against the 1961–1990 baseline (temperature) and 1991–2020 (rainfall, sunshine, frost) — see the Methodology & Sources page for the complete dataset list and update calendar.
FAQs
FAQs
How is the climate in Guinea-Bissau changing?
Guinea-Bissau is warming in line with the rest of the world. The page above shows the latest monthly temperature anomaly versus the 1961-1990 baseline, the long-term annual trend, and the region's rank in the historical record. The trend rate is shown as °C per decade in the headline panel; you can also see the warmest and coolest years on file.
Where does the climate data for Guinea-Bissau come from?
Climate data for Guinea-Bissau comes from Our World in Data, sourcing Copernicus ERA5 and HadCRUT5 (national temperature anomaly) and the Global Carbon Project via Our World in Data (CO₂ emissions), refreshed every month, when the upstream temperature and rainfall data are refreshed.
What is the climate baseline used on this page?
Anomalies on this page are calculated against the 1961-1990 climatological baseline, which is the standard reference period used by the Met Office, NOAA, IPCC and most national climate services. Some panels also show the source-native 1901-2000 (NOAA) or 1991-2020 (WMO) baselines for verification. See Methodology & Sources for the full reference.
Which areas does the Guinea-Bissau climate data cover?
The Guinea-Bissau climate profile covers Bissau, Bafatá, Gabu, Bissorã and surrounding areas. Temperature, rainfall and emissions data for Guinea-Bissau
How often is the Guinea-Bissau climate update refreshed?
The Guinea-Bissau climate update is refreshed monthly, typically a few days after the previous month closes and the upstream provider (Met Office HadUK-Grid, NOAA Climate at a Glance, Copernicus ERA5 or the Global Carbon Project) publishes its update. See the Climate Rankings for cross-region comparisons.