Skip to content
worldfires
TZ · Tanzania · →

Itilima fire, December 2025 Itilima, Bariadi

Out · last detection 6 Dec 2025, 11:45 UTC

The fire started on 1 December 2025 in Itilima, Tanzania, and satellites saw it burning for 6 days. Copernicus’s global GWIS system rebuilt a burnt perimeter of 6,285 hectares from heat detections, spread across 2 municipalities.

It is the 21th largest in Simiyu since 2016 (of 68 with a page). Number 40 in Tanzania in 2025, of 161.

Burnt area
6,285ha
GWIS perimeter (Copernicus)
Duration
6days
1 Dec 2025 – 6 Dec 2025
Municipalities hit
2
districts
Started on
1 Dec
2025
Heat detections
193
in a single hotspot: 115 MW
Danger at start
36
High · FWI index
Energy released
1.4GW
sum of detected power

Where it burned

6 Dec 2025
HOTSPOTS BY DAY 1 Dec6 Dec

How it evolved, day by day

123456

Fire radiative power detected each day, in megawatts, and number of hotspots. The magenta bar marks the peak day.

The weather it burned in

30°high
51km/h · peak gust
20%lowest humidity

It had gone 31 days without rain (1 mm or more) when it started. Rain came after the fire: 10.0 mm on 13 Dec.

This area had burned before

56% of the perimeter overlaps earlier fires recorded since 2016: 1,950 ha in 2016, 2,203 ha in 2021, 247 ha in 2024. Part of it burned more than once, so the yearly figures add up to more than the 3,515 ha that had burned before.

What happened to each town

  1. Itilima where it started
    6,086 ha reached on 1 Dec
    1.3 %
  2. 240 ha reached on 2 Dec
    0.0 %

Burnt area inside each municipality, from crossing the GWIS perimeter with administrative boundaries. The distance is from the town centre to the nearest fire: staying a kilometre away does not mean it reached the houses.

The weather day by day

ECMWF ERA5 reanalysis at the fire location, the standard reference for past weather, and the Canadian Fire Weather Index (the same system Copernicus uses), computed by WorldFires from that data. Days after the fire run until the first rain.

Open-Meteo.com (CC BY 4.0) · Copernicus Climate Change Service (ERA5)

Day High Min. humidity Peak gust Rain Danger (FWI)
1 Dec 29.7 °C 24 % 51 km/h 0.0 mm High 36
2 Dec 30.1 °C 20 % 50 km/h 0.0 mm Very high 38
3 Dec 30.3 °C 21 % 49 km/h 0.0 mm Very high 39
4 Dec 28.9 °C 26 % 47 km/h 0.0 mm High 38
5 Dec 29.4 °C 24 % 46 km/h 0.0 mm High 38
6 Dec 28.5 °C 27 % 51 km/h 0.0 mm Very high 40
7 Dec after 28.5 °C 26 % 48 km/h 0.2 mm High 38
8 Dec after 28.1 °C 32 % 52 km/h 0.1 mm High 37
9 Dec after 28.5 °C 27 % 47 km/h 0.2 mm High 36
10 Dec after 29.4 °C 25 % 38 km/h 0.1 mm High 30
11 Dec after 30.6 °C 25 % 40 km/h 0.0 mm High 34
12 Dec after 28.0 °C 29 % 31 km/h 0.7 mm High 24
13 Dec after 26.8 °C 41 % 24 km/h 10.0 mm Very low 2

Before and after, from space

Drag the line to compare the same ground before the fire and after it.

Before · 24 Nov 2025
After · 13 Dec 2025

If the day is cloudy, change the date: each satellite passes once a day. In false colour the burnt ground looks brown or red.

The smoke

CAMS · Copernicus

On 1 December 2025 the air beside the fire reached 15 µg/m³ of PM2.5, but no daily average passed the WHO guideline (15).

PM2.5 peak15 µg/m³
Days over the guideline0 days
PM1016 µg/m³
Optical depth0.37
2930123456789
Good Fair Moderate Poor Very poor Extremely poor

Particles from the Copernicus CAMS model at the centre of the perimeter; these are not measurements in each town. The pale bar is the worst hour, the solid one the daily average.

Open-Meteo.com (CC BY 4.0) · Copernicus Atmosphere Monitoring Service (CAMS)

Detections table · 193Every satellite heat detection, one by one, with time, satellite, power and coordinates.
⬇ Download CSV Times in UTC. Each detection is a 375 m pixel: a large fire yields hundreds per pass.
Date and timeSatelliteFRP (MW)LatLon

Other fires nearby

All fires in Tanzania ›

Frequently asked questions

How long did the Itilima fire last?
GWIS (Copernicus) dates it between 1 December 2025 and 6 December 2025: 6 days between the first and last heat detection of the perimeter.
How much area did it burn?
The perimeter GWIS (Copernicus) rebuilt from heat detections is 6,285 hectares (62.8 km²). It is an estimate: official national figures may differ.
Which municipalities burned?
The fire entered 2 municipalities: Itilima (6,086 ha, 1.3 %); Bariadi (240 ha, 0.0 %).
What was the weather like?
During the fire the temperature reached 30.3 °C, humidity dropped to 20 % and gusts hit 51 km/h. The fire danger index (FWI) reached 40, class Very high.
Where does this data come from?
From the GWIS (Copernicus) burnt perimeter, NASA FIRMS VIIRS hotspots and the administrative boundaries of Tanzania (geoBoundaries). It is not an official report.

Where to verify it

A satellite detection is not an official report. Final figures and the fire’s status are published by each country’s emergency service.

Emergency number: 112

Satellite cross-check

Does something look wrong on this page?

This page is built from satellite data and official records, and it sometimes gets things wrong: the wrong dates, the wrong town, two fires merged into one, or something that was not a wildfire at all. If you know this fire first-hand (you live nearby, saw it, fought it or reported on it), tell us what really happened and we will check it.

Report an error
What do you think is wrong?

We will only use your email to reply about this report. Privacy. This is not an emergency service: if there is a fire now, call 112.

Where this data comes from

The perimeter comes from the Copernicus Global Wildfire Information System (GWIS), which rebuilds it from MODIS and VIIRS heat detections and publishes it under CC BY 4.0. It is not measured on imagery as in Europe, so it is an estimate. Heat detections come from the VIIRS sensors aboard Suomi-NPP and NOAA-20, distributed by NASA FIRMS at 375 m resolution. Municipal boundaries come from geoBoundaries ADM2 (Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)). The area per municipality is computed by WorldFires by crossing the perimeter with those boundaries, so it may differ from each country’s official figure.