Key Takeaways
- Global industrial production index (2015=100) was 101.4 in 2023
- OECD Manufacturing production index (2015=100) increased by 2.6% in 2023 (year-over-year)
- In 2022, world industrial production (index, 2015=100) averaged 99.8
- The global share of industry (manufacturing + mining + utilities) in total employment is about 18% (latest available around 2019–2020, ILO estimate)
- In the ILOSTAT reference for “Employment by sector,” industry share of employment (2019) was 19.7% for the world
- US industrial labor force in manufacturing was 12.6 million in 2023
- In 2023, world manufacturing value added growth (annual %) was 0.3%
- In 2023, world manufacturing value added (current US$) was $7.4e+12
- In 2023, manufacturing value added per capita globally was $935.2 (current US$)
- In 2023, global electricity generation was about 28,500 TWh
- In 2023, global industrial electricity demand was 9,700 TWh (Ember “Industry” sector estimate)
- In 2023, global natural gas consumption for industry was about 28.6 EJ
- Global industrial water withdrawal was about 800 km3 in 2015 (FAO AQUASTAT estimate)
- Global industrial water withdrawal was about 900 km3 in 2020 (World Bank/FAO synthesis estimate)
- Global freshwater withdrawals for industry were 22% of total in 2017 (SIWI)
Industrial output edged higher in 2023 and 2024, while energy use and emissions intensity continued improving.
Industrial Production
Industrial Production Interpretation
Industrial Workforce
Industrial Workforce Interpretation
Industrial Output
Industrial Output Interpretation
Industrial Energy
Industrial Energy Interpretation
Industrial Resources
Industrial Resources 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.
Henrik Dahl. (2026, February 13). Industrial Industry Statistics. Gitnux. https://gitnux.org/industrial-industry-statistics
Henrik Dahl. "Industrial Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/industrial-industry-statistics.
Henrik Dahl. 2026. "Industrial Industry Statistics." Gitnux. https://gitnux.org/industrial-industry-statistics.
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