Climate-Decent Work Risk Assessment - Brazilian agriculture
Contributors
Project member:
-
1.
University of Nottingham
-
2.
Universidade Federal do Maranhão
- 3. Soluções Inclusivas Sustentáveis (SIS)
- 4. Lunex
Description
Output data from manuscript: Climate-Decent Work Risk Assessment in Brazilian Agriculture
This dataset provides integrated indicators for a Climate-Decent Work Risk Assessment of rural agricultural workers in Brazil.
It covers all 5,570 Brazilian municipalities and a harmonised spatial grid at 0.05-degree
(~5.5 km) resolution.
The dataset integrates three analytical pillars following the IPCC framework
(Risk = Hazard × Exposure × Vulnerability):
(1) CLIMATE HAZARD SCORE — A composite index combining 23 indicators from 7
international datasets into 9 hazard groups: Excessive Heat, UV Radiation,
Droughts, Floods, Wildfires, Air Pollution, Vector-borne Diseases,
Agrochemicals, and WASH. Indicators are normalised to 0–100 and
weighted using expert priors adjusted by Data Quality Assessment (DQA) scores.
Primary sources: CCVI v2.0, Global Inequalities in Environmental Conditions, TEMIS UV, ThinkHazard!
(World Bank), AdaptaBrasil (MCTI), IDSC-BR 2025, Tang et al. pesticide risk.
(2) AGRICULTURAL EXPOSURE — Crop harvested area and crop area per municipality
× crop type (~113 crops) from CROPGRIDSv1.08 (not included in the dataset).
Total worker by demographics from IBGE agricultural census activity classes.
(3) DECENT WORK SCORE — A composite index of 35 indicators organised
into 10 ILO Decent Work elements, including employment opportunities, adequate
earnings, working time, equality of opportunity, forced labour, occupational
safety, and social security. Derived from PNADC (2021–2024), IDSC-BR 2025,
IPS Brasil, SINAN, and CPT forced-labour rescue data. Bayesian shrinkage
estimators stabilise state-level PNADC estimates.
All datasets are linkable via the IBGE 7-digit municipality code (CD_MUN).
The primary files are provided in Excel formats.
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Results part of the analysis Climate-Decent work risk assessment in Brailizian agriculture.
The datasets generated are not publicly available, as the associated manuscript is currently under process. However, access to the data may be granted upon reasonable request and with appropriate justification, subject to approval by the corresponding authors.
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Additional details
Funding
- British Academy
- ODA Challenge-Oriented Research Grants 2024 Programme IOCRG\100945
Dates
- Other
-
2026-03Published