MacroDataHub

China Consumer Price Index (CPI)

China's Consumer Price Index (CPI) year-on-year and month-on-month, disaggregated by urban and rural areas, alongside the complete tree of commodity and services groups: the eight primary groups and most closely monitored items such as pork, fresh vegetables, fruit, and transport fuel—the drivers of China's monthly CPI movements.

Source: National Statistics Office (NSO) of China (NBS)Last updated: Aug 10, 2026, 07:03Curated by Bui Thanh PhucAbout this data ↓

Indicator07-202606-202605-202604-202603-202602-202601-202612-202511-202510-202509-202508-202507-202506-202505-202504-202503-202502-202501-202512-202411-202410-202409-202408-202407-202406-202405-202404-202403-202402-202401-202412-202311-202310-202309-202308-202307-2023
Headline CPI (YOY)70.511.21.211.30.20.80.70.2-0.3-0.400.1-0.1-0.1-0.1-0.70.50.10.20.30.40.60.50.20.30.30.10.7-0.8-0.3-0.5-0.200.1-0.3
Urban CPI (YOY)0.511.31.21.11.40.20.90.70.3-0.2-0.300.100-0.1-0.70.60.10.10.20.40.60.50.20.30.300.8-0.8-0.3-0.4-0.10.10.2-0.2
Rural CPI (YOY)0.40.81.110.90.90.10.60.4-0.2-0.5-0.6-0.3-0.2-0.4-0.3-0.3-0.70.300.20.30.60.80.70.40.40.40.10.5-0.8-0.5-0.8-0.5-0.3-0.2-0.6
Food-1.5-1.6-1.7-1.60.31.7-0.71.10.2-2.9-4.4-4.3-1.6-0.3-0.4-0.2-1.4-3.30.4-0.512.93.32.80-2.1-2-2.7-2.7-0.9-5.9-3.7-4.2-4-3.2-1.7-1.7
Non-food0.91.51.91.81.21.30.40.80.80.90.70.50.30.1000.2-0.10.50.20-0.3-0.20.20.70.80.80.90.71.10.40.50.40.70.70.50
Goods0.21.11.61.41.31.10.310.6-0.2-0.8-1-0.4-0.2-0.5-0.3-0.4-0.90.1-0.200.20.50.70.5-0.100-0.4-0.1-1.7-1.1-1.4-1.1-0.9-0.7-1.3
Services0.70.80.80.90.81.60.10.60.70.80.60.60.50.50.50.30.3-0.41.10.50.40.40.20.50.60.70.80.80.81.90.5111.21.31.31.2
Core inflation (excluding food and energy)0.911.11.21.11.80.81.21.21.210.90.80.70.60.50.5-0.10.60.40.30.20.10.30.40.60.60.70.61.20.40.60.60.60.80.80.8
Headline CPI (MOM)-0.1-0.3-0.10.3-0.710.20.2-0.10.20.100.4-0.1-0.20.1-0.4-0.20.70-0.6-0.300.40.5-0.2-0.10.1-110.30.1-0.5-0.10.20.30.2
Food, beverages and tobacco10-0.8-0.8-0.9-0.80.41.4-0.20.80.3-1.6-2.6-2.5-0.80.10.10.3-0.6-1.90.600.922.32.10.2-1.1-1-1.4-1.4-0.1-3.6-2-2.2-2.1-1.5-0.5-0.5
Cereals-0.4-0.5-0.3-0.3-0.3-0.4-0.1-0.3-0.4-0.7-0.7-0.8-1-1.2-1.4-1.4-1.5-1.3-1.4-1.3-1.1-0.7-0.7-0.10.10.40.50.50.50.30.50.40.50.60.70.60.3
Edible oils-1.1-1.1-1.2-1-0.8-1.1-0.7-1-1.2-1.1-1.4-1.5-1.4-1.8-1.7-1.8-2.1-2-2.5-3.2-3.6-3.8-3.7-4.1-4.1-4.2-5.1-5.3-5.3-5.4-4.9-4.6-4.1-3.5-3.1-1.9-1.3
Fresh vegetables-0.3-0.31.6-0.54.910.96.918.214.5-7.3-13.7-15.2-7.6-0.4-8.3-5-6.8-12.62.40.51021.622.921.83.3-7.32.31.3-1.32.9-12.70.50.6-3.8-6.4-3.3-1.5
Meat3-6-7.3-7.4-6.7-4.2-2.7-6.1-6.1-6.6-7.4-8.4-8-4.6-4.20.70.6-0.1-1.82.51.72.42.83.83.84.93.5-2.2-3.2-4.3-2.9-11.6-15.9-19.2-17.9-12.8-10.5-14
Pork-13.3-15.9-16.1-15.2-11.5-8.6-13.7-14.6-15-16-17-16.1-9.5-8.53.156.74.113.812.513.714.216.216.120.418.14.61.4-2.40.2-17.3-26.1-31.8-30.1-22-17.9-26
Beef4.54.24.24.87.89.67.16.96.25.64.64.13.62.7-0.1-4.9-10.8-13.3-13.1-13.8-13.5-13.4-13.1-12.9-12.9-13.4-12.9-10.4-8.4-6.9-7.7-6-5.7-5.1-4.9-4.9-4.8
Mutton6.266.26.26.46.64.64.43.72.40.8-0.7-1.4-1.8-2.8-3.8-5.4-6.6-5.6-6.1-5.3-5.9-6.4-6.3-6.3-7.1-7.5-6.8-6-4.2-5.9-5.7-6.5-5.9-5.1-4.6-3.1
Aquatic products-0.6-0.40.61.33.76.10.71.61.520.92.23.43.42.51.5-0.2-3.61.211.81.421.71.21.20.10.21.24.1-3.4-0.6-1.1-0.5-1.50.20.4
Eggs14.4166.60.5-3.1-2.9-9.2-12.7-12.5-11.6-11.9-12.4-11.2-7.7-3.5-0.5-1.6-2.70.7-0.1-0.5-2.5-4.1-3.50.4-3.9-7.4-10.6-8.9-5.1-6.4-7-8.8-50.73.2-0.5
Milk and dairy products-1.5-1.7-1.2-1.2-0.7-1.1-0.8-1.8-1.6-1.7-1.4-1.6-1.3-1.1-1.5-1.2-1.7-1.4-1.7-1.6-1.4-1.7-1.9-1.7-1.9-1.8-1.7-1.8-1-1.5-0.8-0.9-0.3000.10.4
Fresh fruit-1.1-0.7-2.2-145.93.24.40.7-2-4.2-3.72.86.15.55.20.9-1.80.6-3-0.34.76.74.1-4.2-8.7-6.7-9.7-8.5-4.1-9.1-0.32.72.2-0.31.35
Cigarettes-0.7-0.6-0.5-0.4-0.4-0.3-0.3-0.2-0.1-0.1000.10.10.20.20.30.40.50.70.60.70.80.911.11.11.21.21.31.31.21.31.21.41.41.4
Alcoholic beverages-3-2.8-2.9-3-2.8-2.6-1.8-2.1-1.7-2-1.3-1.9-1.9-1.7-2-2-1.8-1.9-2.5-2-1.9-1.4-1.9-1.5-1.6-1.6-1.3-1-1.2-1.3-0.1-0.7-0.6-0.50.10.10.5
Clothing and footwear21.41.41.41.51.61.91.91.71.91.71.71.81.71.61.51.31.31.21.11.21.11.11.31.41.51.51.61.61.61.61.61.41.31.11.11.11
Garments1.51.51.51.61.722.11.821.81.81.91.81.71.71.51.51.41.31.41.31.41.61.71.71.81.81.81.81.61.71.41.41.21.21.11
Footwear0.91111.21.41.41.41.61.51.41.31.21.10.80.60.50.30.20.20.200.30.10.30.50.70.811.21.310.90.90.80.90.6
Housing2-0.3-0.3-0.2-0.2-0.2-0.2-0.1-0.200.10.10.10.10.10.10.10.10.10.10.1-0.1-0.1-0.100.10.20.20.20.20.20.30.30.30.30.20.10.1
Rent-0.6-0.6-0.6-0.6-0.5-0.5-0.4-0.3-0.2-0.10-0.1-0.1-0.1-0.1-0.1-0.1-0.2-0.2-0.3-0.3-0.3-0.4-0.3-0.3-0.2-0.1-0.1000.20.20.10.10-0.1-0.1
Water, electricity and fuels0.50.50.60.60.60.40.40.30.30.30.40.40.50.40.30.30.30.30.40.30.30.30.40.60.90.90.80.60.50.30.30.30.30.60.50.3-0.1
Household goods and services20.81.31.81.41.52.82.62.22.11.92.21.81.20.70.10.20.6-0.7-1.1-0.7-0.30.10.10.20.70.90.81.410.510-0.5-0.6-0.4-0.5-0.2
Household appliances0.22.23.42.62.45.36.65.94.955.54.62.81-0.2-0.2-0.3-3.3-3.5-3.3-3.1-3.3-2-1.8-1.8-1.3-0.9-0.3-0.8-0.1-0.2-0.6-0.7-0.8-1.7-2-1.8
Household services11.11.11.11.13.8-2.31.21.61.61.61.61.71.71.71.71.71.84.71.71.51.51.51.61.71.71.81.71.8221.721.91.91.91.8
Transport and communications60.44.15.44.60.9-0.7-3.4-2.6-2.3-1.5-2-2.4-3.1-3.7-4.3-3.9-2.6-2.5-0.6-2.2-3.6-4.8-4.1-2.7-0.6-0.3-0.20.1-1.3-0.4-2.4-2.2-2.4-0.9-1.3-2.1-4.7
Passenger cars-1.3-1.1-1.1-1.2-1.1-1.2-1.5-1.9-2-1.9-1.9-1.9-2.1-2.8-3.4-3.8-4-4.4-4.1-4.2-4.8-5.3-5.3-5.5-5.6-5.3-4.7-4.3-4.6-5.4-5.6-5.4-5-4.8-4.6-4.5-4.4
Vehicle fuel0.815.321.117.43.4-9-10.4-8.2-7.4-5.4-6-7.1-9-10.8-12.9-10.2-5.7-1.2-0.6-4-8.1-10.5-7.6-2.75.15.66.36.92.20.8-0.1-1.4-2.91.8-1.1-4.5-13.2
Vehicle maintenance and repair0.50.50.40.40.53.7-0.600.10.10.20.30.30.40.40.50.3-21.20.50.50.50.60.50.50.40.40.30.42.9-1.20.60.50.50.50.50.5
Communication equipment8.37.66.64.22.61.91.3-0.7-0.71.21.50.80.1-0.30.711.41.30.60.70.7-2.1-2.8-2.1-2.1-1.5-2.5-2.9-2.4-2.1-1.7-2.3-3.7-3.8-3.1-3-2.6
Communication services0.10.10.10.10.100000000000000-0.100000-0.2-0.3-0.4-0.4-0.4-0.3-0.4-0.4-0.4-0.4-0.4-0.4
Postal services-0.4-0.5-0.5-0.4-0.20.3-1.6000.100-0.2-0.2-0.2-0.3-0.3-0.50.9-0.5-0.5-0.5-0.6-0.6-0.5-0.5-0.5-0.3-0.4-0.1-0.3-0.3-0.1-0.10.10.20.2
Education, culture and recreation21.31.41.31.31.1200.90.80.90.810.910.90.70.8-0.51.70.910.80.61.31.71.71.71.81.83.91.31.81.82.32.52.52.4
Educational services0.60.60.50.50.50.50.50.60.60.70.81.21.11.21.21.21.21.31.21.21.21.21.21.71.81.81.81.71.71.71.71.81.81.81.81.11.2
Tourism2.24.54.343.211.7-6.62.122.10.90.70.50.80.9-0.5-0.9-9.67-0.1-0.2-0.4-2.10.93.13.74.24.1623.11.86.86.81112.314.813.1
Healthcare32.92.32.12.21.91.91.71.81.61.41.10.90.50.40.30.20.10.20.70.91.11.11.21.31.41.51.51.61.51.51.31.41.31.31.31.21.2
Traditional Chinese medicine-0.8-1.3-1.4-1.5-1.6-1.4-1.4-1.2-1.1-0.9-0.8-0.9-0.6-0.100.10.50.50.70.50.40.70.92.12.944.85.45.55.96.177.57.47.36.45.7
Western medicine-1.5-1.3-1.4-1.7-1-1-1-1.3-1.3-1.3-1.3-1.2-1.2-1.3-1.2-1.1-1.2-1.1-1.1-1-1-0.9-1-1-1-0.9-0.9-0.7-0.5-0.3-0.20.10000.10.1
Medical services4.33.43.23.432.82.72.92.72.41.91.61.10.80.70.50.40.61.21.51.71.81.81.91.91.91.81.91.71.61.31.31.11.21.11.11.1
Miscellaneous goods and services5.86.69.91113.515.413.217.414.212.89.98.688.17.36.66.26.55.44.95.24.73.53.4443.63.82.732.92.933.63.93.84.1

Latest reading

Headline CPI (YOY) stood at 0.5% in Jul 2026. That is −0.5 pp from Jun 2026 and +0.5 pp from a year earlier. The series on this page is monthly and runs from Jan 2008 to Jul 2026. Source: National Statistics Office (NSO) of China (NBS).

Latest
0.5%
Jul 2026
vs previous period
−0.5 pp
Jun 2026
vs a year earlier
+0.5 pp

About this data

China's Consumer Price Index (CPI) year-on-year and month-on-month, disaggregated by urban and rural areas, alongside the complete tree of commodity and services groups: the eight primary groups and most closely monitored items such as pork, fresh vegetables, fruit, and transport fuel—the drivers of China's monthly CPI movements. This includes core inflation (excluding food and energy). The National Statistics Office of China combines January and February data to eliminate distortions caused by the Lunar New Year, leaving the monthly series without a data point for January, with the combined figure recorded in February.

MacroDataHub on Facebook