BREAKING LIVE All breaking →
News

China industrial output growth at 14-month low

by UCapital MediaUCapital News newsroom1 min read
China industrial output growth at 14-month low

China’s industrial production grew 4.9% year-on-year in October 2025, slowing from a 6.5% increase in the previous month and missing market expectations of 5.5%.


This marked the softest increase since August 2024, due to softer rises in manufacturing activity (4.9% vs 7.3% in September) and mining (4.5% vs 6.4%), partly due to the Golden Week holiday.


Meanwhile, production of electricity, heat, gas, and water accelerated (5.4% vs 0.6%).


Within manufacturing, 29 of 41 major industries recorded growth, including automotive (16.8%), computers and communications (8.9%), railway and shipbuilding (15.2%), ferrous metal smelting and rolling (1.4%), non-ferrous metal smelting and rolling (3.7%), chemical products (7.1%), coal mining and washing (6.5%), oil and gas (1.9%), food manufacturing (2.5%), heat production (5.9%), and textiles (0.2%).


For the first ten months of the year, industrial production rose by 6.1%. On a monthly basis, industrial output climbed by 0.17%.

chinaindustrialproduction
DISCLOSURE

UCapital Asset Management LLP or group companies may have commercial relationships with the companies mentioned. This content is not financial advice.

✦ Ask the AI about this article

Sign up for free to ask the AI about this article.

The macro picture, read by the AI agents

Growth, inflation and rates across the major economies, with the impact on your business.

Start the macro analysis →

AI use policy. UCapital AI supports the newsroom with news analysis, summaries, market reactions, translations and the generation of cards and charts. AI-generated or AI-assisted content is labelled in the byline (AI Desk, a named AI profile marked «AI», or joint byline) and is reviewed by editors before publication. News received via API feeds from third-party providers is attributed to the original source. AI can make mistakes: report any inaccuracies to the newsroom. Users’ personal data is not used to train the models.