Key Takeaways
- In 2022, Brazil's chemical industry produced 12.5 million tons of petrochemicals, representing 55% of total chemical output
- Brazil's ethylene production capacity stood at 5.8 million tons per year in 2023, with utilization rate of 92%
- Polypropylene production in Brazil reached 1.2 million tons in 2022, up 8% from 2021
- The Brazilian chemical industry generated BRL 170 billion in revenue in 2022, up 15% from 2021
- Chemical sector GDP contribution was 2.1% of Brazil's total GDP in 2023, valued at BRL 190 billion
- Petrochemicals segment revenue reached BRL 85 billion in 2022
- Brazil's chemical exports reached USD 18.5 billion in 2022, with 45% growth YoY
- Chemical imports into Brazil totaled USD 32 billion in 2023, down 5% from peak
- Polyethylene exports from Brazil were 1.8 million tons valued at USD 2.2 billion in 2022
- Brazil chemical industry employed 185,000 direct workers in 2022
- Chemical sector generated 750,000 indirect jobs in Brazil in 2023
- Average salary in chemical industry was BRL 4,800/month in 2022
- Private investments in Brazilian chemical industry totaled BRL 25 billion in 2022
- Petrobras capex in petrochemicals BRL 8 billion planned for 2023-2027
- Braskem announced BRL 12 billion expansion in PE/PP by 2025
Brazil's chemical industry grew substantially in 2022 and 2023 across production, revenue, and investments.
Employment and Labor
Employment and Labor Interpretation
Investments and Sustainability
Investments and Sustainability Interpretation
Market and Revenue
Market and Revenue Interpretation
Production and Capacity
Production and Capacity Interpretation
Trade (Exports/Imports)
Trade (Exports/Imports) Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Sophie Moreland. (2026, February 13). Brazil Chemical Industry Statistics. Gitnux. https://gitnux.org/brazil-chemical-industry-statistics
Sophie Moreland. "Brazil Chemical Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/brazil-chemical-industry-statistics.
Sophie Moreland. 2026. "Brazil Chemical Industry Statistics." Gitnux. https://gitnux.org/brazil-chemical-industry-statistics.
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