China’s producer prices rose 5.7% year-on-year in October 2026, accelerating from 5.0% in the previous month and exceeding market expectations of 5.3%. It marked the fastest increase since June 2022, reflecting stronger commodity prices and improving industrial demand in the post-Golden Week period. Prices of production materials quickened further (7.4% vs 6.5% in September), driven by faster increases in mining (27.9% vs 25.4%), raw materials (11.6% vs 9.4%), and processing (3.5% vs 3.4%). Meanwhile, consumer goods prices remained subdued (-0.1% vs -0.1%), as declines in food (-1.6% vs -1.8%), clothing (-1.3% vs -1.2%), and daily-use goods (-0.7% vs -0.6%) offset slower growth in durable goods prices (1.4% vs 1.6%). On a monthly basis, the PPI rose 0.7%, easing from September’s 1.2% increase, the strongest in five months. In the first ten months of 2026, producer prices climbed 2.7%, accelerating from 2.3% in the preceding period. source: National Bureau of Statistics of China
Producer Prices in China increased 5.70 percent in October of 2026 over the same month in the previous year. Producer Prices Change in China averaged 2.54 percent from 1993 until 2026, reaching an all time high of 26.00 percent in May of 1993 and a record low of -8.20 percent in July of 2009. This page provides the latest reported value for - China Producer Prices Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. China Producer Prices Change - data, historical chart, forecasts and calendar of releases - was last updated on November of 2026.
Producer Prices in China increased 5.70 percent in October of 2026 over the same month in the previous year. Producer Prices Change in China is expected to be 4.20 percent by the end of this quarter, according to Trading Economics global macro models and analysts expectations. In the long-term, the China Producer Prices Change is projected to trend around 1.50 percent in 2027 and 1.60 percent in 2028, according to our econometric models.