China CPI, PPI & PMI API: Official NBS Data in English
Pricing
from $0.90 / 1,000 indicator values
China CPI, PPI & PMI API: Official NBS Data in English
China's official inflation and business surveys from the National Bureau of Statistics, in English: CPI with 45 components (pork, rent, core CPI...), PPI and producer purchase prices by industry, and the manufacturing, non-manufacturing and composite PMI with all sub-indexes. No login.
China CPI, PPI & PMI: Official NBS Data with Components
Get China's official inflation and business survey data as clean JSON, straight from the monthly releases of the National Bureau of Statistics of China (国家统计局, NBS). No login, no Chinese needed: every indicator has an English name.
- CPI (consumer prices): headline CPI, urban and rural, food and non-food, goods and services, core CPI, the eight categories and about 35 components such as pork, beef, fresh vegetables, fresh fruit, rent, cars, vehicle fuel, education and medical services; month-on-month, year-on-year and year-to-date changes
- PPI (producer prices): PPI and its producer/consumer goods split, producer purchase prices (PPIRM) by material group, and producer prices for about 30 industries (coal mining, oil and gas, steel, non-ferrous metals, chemicals, autos, electronics, power...)
- PMI (purchasing managers' indexes): the manufacturing PMI with all 13 sub-indexes (new orders, production, new export orders, input and output prices, employment...), the non-manufacturing business activity index with its sub-indexes, construction and services, and the composite PMI output index
- Latest month or a month range, with a headline-only option
Use cases
- Macro and markets research: China inflation, factory-gate prices and business cycle data in one feed.
- Commodity and trade analysis: PPI by industry and input prices show cost pressure upstream.
- Dashboards and alerts: schedule a monthly run with Only new releases on and get each release once (PMI on the last day of the month, CPI and PPI around the 10th).
- Models and notebooks: tidy one-row-per-indicator data, ready for pandas or a spreadsheet.
Example input
The latest release of each:
{}
Headline figures for 2025:
{"monthFrom": "2025-01","monthTo": "2025-12","headlineOnly": true}
Output
CPI and PPI rows:
{ "type": "cpi", "month": "2026-09", "indicator": "居民消费价格", "indicatorEnglish": "CPI (all items)", "momPct": 0.2, "yoyPct": 0.9, "ytdYoyPct": 0.9, "level": "headline" }{ "type": "cpi", "month": "2026-09", "indicator": "猪肉", "indicatorEnglish": "Pork", "momPct": 1.2, "yoyPct": -10, "ytdYoyPct": -12.9, "level": "component" }{ "type": "ppi", "month": "2026-09", "indicator": "汽车制造业", "indicatorEnglish": "Automobiles", "section": "主要行业出厂价格", "momPct": -0.2, "yoyPct": -2, "ytdYoyPct": -2.2, "level": "component" }
A PMI row:
{ "type": "pmi", "month": "2026-09", "survey": "manufacturing", "indicator": "新订单", "indicatorEnglish": "New orders", "value": 50.5 }
- CPI and PPI values are percentage changes as published:
momPctmonth on month,yoyPctyear on year,ytdYoyPctyear to date versus the same period last year. - PMI values are diffusion indexes (50 = no change).
surveyismanufacturing,nonManufacturingorcomposite. levelseparates headline figures from components, which is what Headline figures only filters on.
Pricing
$0.001 per indicator value. The latest month of everything (about 120 values) costs about $0.12; headline figures for a year about $0.20.
Notes and limits
- History goes back to late 2021 for CPI and PPI and to late 2020 for the PMI (each PMI release repeats the previous 12 months). Older months are found by walking the NBS release list, so long ranges take a minute or two to start.
- Official figures as first published by NBS; later revisions are not tracked.
- Only public data is collected.
Related
中文说明
国家统计局每月发布的居民消费价格(CPI,含核心 CPI、八大类和猪肉、鲜菜、房租等约 35 个分项的环比、同比、累计同比)、工业生产者出厂价格和购进价格(PPI、PPIRM,含约 30 个行业)、采购经理指数(制造业 PMI 全部 13 个分项、非制造业商务活动指数、建筑业、服务业和综合 PMI 产出指数),全部附英文名称,可取最新一期或按月份区间取历史。按结果计费,可在 Apify 上直接运行或通过 API 调用,也可设置定时任务。有问题或需要新字段,请在 Issues 页面留言(中文、英文均可)。
Feedback
Need GDP, industrial output or retail sales as well? Open an issue on the Issues tab.