Follow the detail behind growth: industrial cash flow, household demand, investment, prices and the housing market in 70 cities.
Read the findings, compare the cross-sections, then inspect the source tables. Every value keeps its original heading and release date.
Collection status: partial. Needs attention: Energy production (unavailable), National accounts (unavailable)
What the evidence says
Cash collection and balance-sheet pressure
Profit Rate of Business Revenue: 5.66 (Jan-Jul (%)); Asset-Liability Ratio: 58.4 (By the end of July (%)); Turnover Days of Finished Goods Inventory: 21.3 (By the end of July (days)); Average Collection Period for Accounts Receivable: 71.9 (By the end of July (days)).
These are aggregates for industrial enterprises above the designated size. They do not measure individual defaults or small-firm borrowing access.
Profits grew in 21 of 40 industries with a reported growth rate; 18 declined. This is an equal-count breadth measure, so a small industry counts as much as a large one.
Industries with a nonnumeric loss-to-profit comparison are excluded from this denominator. Growth rates are year-on-year for the source's cumulative period.
In this housing table, prices fell from the previous month in 47 of 70 cities, rose in 17, and were unchanged in 6.
Sales Price Indices of Newly Constructed Commercial Residential Buildings in 70 Large and Medium-Sized Cities | Table I. City counts are unweighted; they do not measure sales volume, local GDP, or a national house-price change.
In this housing table, prices fell from the previous month in 62 of 70 cities, rose in 5, and were unchanged in 3.
Sales Price Indices of Second-Hand Residential Buildings in 70 Large and Medium-Sized Cities | Table II. City counts are unweighted; they do not measure sales volume, local GDP, or a national house-price change.
Table 2 Related Indexes of China’s Manufacturing PMI (Seasonally Adjusted) (13 rows)
Unit: %
Unit: % | New Export Order Index
Unit: % | Import Index
Unit: % | Purchase Quantity Index
Unit: % | Main Raw Materials Purchase Price Index
Unit: % | Producer Price Index
Unit: % | Finished Goods Inventory Index
Unit: % | Existing Order Index
Unit: % | Production and Operation Expectation Index
2025-August
47.2
48.0
50.4
53.3
49.1
46.8
45.5
53.7
September
47.8
48.1
51.6
53.2
48.2
48.2
45.2
54.1
October
45.9
46.8
49.0
52.5
47.5
48.1
44.5
52.8
November
47.6
47.0
49.5
53.6
48.2
47.3
45.5
53.1
December
49.0
47.0
51.1
53.1
48.9
48.2
46.0
55.5
2026-January
47.8
47.3
48.7
56.1
50.6
48.6
45.1
52.6
February
45.0
45.6
48.2
54.8
50.6
45.8
44.0
53.2
March
49.1
49.8
50.9
63.9
55.4
46.7
47.1
53.4
April
50.3
50.1
51.1
63.7
55.1
47.5
46.2
54.5
May
48.6
48.8
49.8
60.5
51.9
49.3
46.8
53.9
June
50.1
49.6
51.4
54.2
48.2
47.7
47.1
54.3
July
49.6
47.5
49.4
53.2
47.8
48.6
45.8
54.1
August
50.1
48.6
50.5
56.6
50.4
48.4
46.7
53.8
Table 3 Main Sub-indexes of China’s Non-manufacturing PMI (Seasonally Adjusted) (13 rows)
Unit: %
Unit: % | Business Activity Index
Unit: % | New Order Index
Unit: % | Input Price Index
Unit: % | Sales Price Index
Unit: % | Employment Index
Unit: % | Business Activity Expectation Index
2025-August
50.3
46.6
50.3
48.6
45.6
56.2
September
50.0
46.0
49.0
47.3
45.0
55.7
October
50.1
46.0
49.4
47.8
45.2
56.1
November
49.5
45.7
50.4
49.1
45.3
56.2
December
50.2
47.3
50.2
48.0
46.1
56.5
2026-January
49.4
46.1
50.0
48.8
46.1
56.0
February
49.5
45.2
50.9
48.8
46.0
55.0
March
50.1
45.0
52.3
49.9
45.2
54.2
April
49.4
44.3
51.7
48.1
45.5
54.7
May
50.1
45.0
52.2
48.8
45.6
54.8
June
50.2
48.0
49.7
48.4
45.8
55.3
July
49.0
44.4
49.7
47.9
45.4
55.4
August
49.0
44.1
51.1
49.3
45.4
55.0
Table 4 Other Sub-indexes of China’s Non-manufacturing PMI (Seasonally Adjusted) (13 rows)
Unit: %
Unit: % | New Export Order Index
Unit: % | Existing Order Index
Unit: % | Inventory Index
Unit: % | Supplier Delivery Time Index
2025-August
48.8
43.4
45.7
51.3
September
49.8
44.4
44.9
51.1
October
46.2
43.6
46.0
50.9
November
47.9
43.6
44.8
51.2
December
47.5
43.5
45.2
51.3
2026-January
46.9
42.5
44.8
51.1
February
44.7
42.3
45.4
50.5
March
48.8
43.2
43.5
51.5
April
47.3
42.4
45.3
50.9
May
48.1
43.8
45.1
51.2
June
47.9
44.2
45.3
51.3
July
47.0
43.3
45.1
50.9
August
47.0
42.8
45.6
51.2
Firm finances
Profits of Industrial Enterprises above the Designated Size from January to July in 2026
Released 2026-08-28T01:30:00Z · First captured 2026-09-08T12:30:36Z · current · 363 numeric cells
NBS source · Quoted from the website of the National Bureau of Statistics (www.stats.gov.cn)
Table 1 Key Financial Indicators of Industrial Enterprises above the Designated Size from January to July in 2026 (8 rows)
Category
Business Revenue | Amount (100 million yuan)
Business Revenue | Growth Rate Y/Y (%)
Operating Costs | Amount (100 million yuan)
Operating Costs | Growth Rate Y/Y (%)
Total Profits | Amount (100 million yuan)
Total Profits | Growth Rate Y/Y (%)
Total
809230.7
6.5
687861.5
5.9
45820.6
17.6
Of which: Mining
31745.4
8.6
20602.2
2.5
6660.5
34.9
Manufacturing
703941.3
7.0
601300.5
6.5
34376.0
18.8
Production and supply of electricity, heat power, gas and water
73544.0
0.9
65958.8
1.9
4784.2
-5.8
Of which: State-holding enterprises
223924.5
5.3
187581.1
4.8
14918.9
16.3
Of which: Share-holding enterprises
657414.4
7.2
560603.5
6.5
35494.0
23.6
Enterprises funded by foreign investors and investors from Hong Kong, Macao and Taiwan
148411.3
3.7
124381.9
3.6
10137.8
1.2
Of which: Private enterprises
281933.6
5.0
243022.3
4.8
11352.2
10.9
Table 2 Performance Indicators of Industrial Enterprises above the Designated Size from January to July in 2026 (8 rows)
Category
Profit Rate of Business Revenue | Jan-Jul (%)
Costs for per-hundred-yuan Business Revenue | Jan-Jul (yuan)
Expenses for per-hundred-yuan Business Revenue | Jan-Jul (yuan)
Business Revenue Brought by per-hundred-yuan Assets | By the end of July (yuan)
Per Capita Business Revenue | By the end of July (10 thousand yuan/person)
Asset-Liability Ratio | By the end of July (%)
Turnover Days of Finished Goods Inventory | By the end of July (days)
Average Collection Period for Accounts Receivable | By the end of July (days)
Total
5.66
85.00
8.41
72.2
191.3
58.4
21.3
71.9
Of which: Mining
20.98
64.90
9.44
36.6
142.9
57.0
15.5
53.8
Manufacturing
4.88
85.42
8.71
84.8
184.6
58.0
23.7
73.6
Production and supply of electricity, heat power, gas and water
6.51
89.69
5.08
36.0
380.4
60.6
1.1
63.9
Of which: State-holding enterprises
6.66
83.77
5.89
53.7
327.4
57.8
12.6
56.2
Of which: Share-holding enterprises
5.40
85.27
8.18
70.9
190.6
59.5
21.5
69.8
Enterprises funded by foreign investors and investors from Hong Kong, Macao and Taiwan
6.83
83.81
9.43
78.9
198.2
53.0
20.2
81.5
Of which: Private enterprises
4.03
86.20
9.86
90.5
139.7
59.9
26.8
75.6
Table 3 Key Financial Indicators of Industrial Enterprises above the Designated Size from January to July in 2026 (By Industry) (42 rows)
Industry
Business Revenue | Amount (100 million yuan)
Business Revenue | Growth Rate Y/Y (%)
Operating Costs | Amount (100 million yuan)
Operating Costs | Growth Rate Y/Y (%)
Total Profits | Amount (100 million yuan)
Total Profits | Growth Rate Y/Y (%)
Total
809230.7
6.5
687861.5
5.9
45820.6
17.6
Mining and washing of coal
15854.6
10.4
10974.9
4.8
2508.5
50.4
Extraction of petroleum and natural gas
7581.1
12.4
4018.7
9.1
2407.3
15.4
Mining and processing of ferrous metal ores
2491.9
-6.4
1966.8
-7.3
287.7
2.0
Mining and processing of non-ferrous metal ores
3056.3
32.3
1427.0
8.2
1241.1
74.9
Mining and processing of non-metal ores
1622.6
-13.7
1161.7
-12.8
171.4
-0.3
Professional and support activities for mining
1137.6
-10.3
1052.1
-10.5
44.4
116.6
Mining of other ores
1.4
-17.6
1.0
-23.1
0.1
0.0
Processing of food from agricultural and sideline products
29181.6
2.9
27147.5
3.2
540.8
-12.3
Manufacture of foods
12635.0
5.1
9937.7
5.1
974.7
3.3
Manufacture of liquor, beverages and refined tea
7990.6
-7.5
5256.1
-5.5
1312.2
-16.1
Manufacture of tobacco
9481.0
0.6
2664.6
0.5
1303.2
-0.5
Textile industry
12383.6
2.2
11038.0
1.9
326.8
7.9
Manufacture of textile, wearing apparel and accessories
5626.3
-3.0
4758.0
-3.7
168.1
-17.2
Manufacture of leather, fur, feather and related products and footwear
3746.9
-3.5
3245.4
-3.5
123.0
-14.2
Processing of timber, manufacture of wood, bamboo, rattan, palm and straw products
3578.4
-14.6
3287.7
-14.3
57.8
-36.9
Manufacture of furniture
3004.4
-8.6
2498.1
-8.0
58.5
-58.2
Manufacture of paper and paper products
8050.5
5.2
7097.7
4.9
227.5
27.6
Printing and reproduction of recording media
3471.0
0.8
2898.0
1.0
140.9
-13.7
Manufacture of articles for culture, education, arts and crafts, sport and entertainment activities
6837.9
-7.4
5994.7
-8.2
191.7
-17.5
Processing of petroleum, coal and other fuels
30825.1
4.1
25854.2
2.0
422.1
(Note 1)
Manufacture of raw chemical materials and chemical products
54477.2
9.3
46629.5
7.5
3159.9
56.6
Manufacture of medicines
13355.4
-0.1
7696.0
0.9
1942.0
3.8
Manufacture of chemical fibers
6044.6
1.8
5452.1
-1.0
260.9
107.7
Manufacture of rubber and plastic products
17629.5
2.9
14892.3
2.6
803.6
-3.6
Manufacture of non-metallic mineral products
22303.0
-9.2
19181.7
-8.7
347.0
-48.2
Smelting and pressing of ferrous metals
43060.5
-0.8
41014.9
-0.4
290.9
-51.2
Smelting and pressing of non-ferrous metals
63744.7
19.6
58785.0
17.0
3520.9
91.8
Manufacture of metal products
26876.5
4.0
23910.5
4.2
758.2
-6.0
Manufacture of general-purpose machinery
29791.7
5.8
24191.4
5.8
1934.7
1.4
Manufacture of special-purpose machinery
22138.9
7.0
17241.5
7.2
1430.4
0.8
Manufacture of automobiles
60780.4
2.7
54057.7
3.8
2162.4
-20.4
Manufacture of railway, ship, aerospace and other transport equipment
10605.0
12.2
8760.2
11.7
864.5
12.2
Manufacture of electrical machinery and apparatus
69726.3
10.0
60605.5
10.9
3096.6
-7.6
Manufacture of computers, communication equipment and other electronic equipment
110747.3
19.4
93807.4
16.0
7057.0
105.0
Manufacture of measuring instruments and machinery
6294.2
6.9
4663.0
6.9
557.1
-1.9
Other manufacture
1227.3
5.8
1003.8
5.1
65.3
4.1
Utilization of waste resources
6638.6
1.7
6287.7
0.3
153.3
89.0
Repair service of metal products, machinery and equipment
1687.9
13.0
1442.7
14.1
124.0
21.4
Production and supply of electricity and heat power
57508.1
0.6
51534.7
1.9
3999.5
-8.0
Production and supply of gas
13394.1
2.4
12511.4
2.4
542.9
9.3
Production and supply of water
2641.8
-0.2
1912.7
-0.1
241.7
2.4
Industrial activity
Industrial Production Operation in July 2026
Released 2026-08-18T07:00:00Z · First captured 2026-09-08T12:30:36Z · current · 208 numeric cells
NBS source · Quoted from the website of the National Bureau of Statistics (www.stats.gov.cn)
table-1 (67 rows)
Indicator
July | Absolute Value
July | Growth Rate Y/Y (%)
January-July | Absolute Value
January-July | Growth Rate Y/Y (%)
Value Added of Industrial Enterprises Above the Designated Size
…
4.5
…
5.3
Mining
…
-4.2
…
2.5
Manufacturing
…
5.5
…
5.6
Of which: High-technology Manufacturing
…
16.9
…
13.8
Production and Supply of Electricity, Heat Power, Gas and Water
…
5.0
…
5.4
Of which: State-holding Enterprises
…
1.6
…
3.9
Of which: Share-holding Enterprises
…
5.0
…
5.8
Enterprises Funded by Foreign Investors and Investors from Hong Kong, Macao and Taiwan
…
2.8
…
3.1
Of which: Private Enterprises
…
3.7
…
4.5
Mining and Washing of Coal
…
-10.8
…
1.6
Extraction of Petroleum and Natural Gas
…
6.1
…
5.0
Processing of Food from Agricultural and Sideline Products
…
3.8
…
4.7
Manufacture of Foods
…
9.0
…
8.4
Manufacture of Liquor, Beverages and Refined Tea
…
2.6
…
2.4
Textile Industry
…
2.3
…
3.1
Manufacture of Raw Chemical Materials and Chemical Products
…
-1.2
…
4.1
Manufacture of Medicines
…
2.8
…
5.3
Manufacture of Rubber and Plastic Products
…
5.0
…
6.4
Manufacture of Non-metallic Mineral Products
…
-3.3
…
-2.9
Smelting and Pressing of Ferrous Metals
…
0.3
…
1.8
Smelting and Pressing of Non-ferrous Metals
…
-2.5
…
-0.7
Manufacture of Metal Products
…
7.3
…
5.2
Manufacture of General-purpose Machinery
…
9.5
…
7.9
Manufacture of Special-purpose Machinery
…
12.6
…
8.8
Manufacture of Automobiles
…
8.7
…
7.2
Manufacture of Railway, Ship, Aerospace and Other Transport Equipment
…
13.6
…
12.7
Manufacture of Electrical Machinery and Apparatus
…
8.8
…
6.5
Manufacture of Computers, Communication Equipment and Other Electronic Equipment
…
19.1
…
15.4
Production and Supply of Electricity and Heat Power
…
5.3
…
6.0
Cloth (100 million meters)
26
2.0
172
3.3
Sulfuric Acid (100%) (10,000 tons)
768
-14.0
6024
-2.4
Caustic Soda (100%) (10,000 tons)
362
-5.1
2729
2.6
Ethylene (10,000 tons)
348
0.1
2429
4.1
Chemical Fiber (10,000 tons)
706
-1.7
4907
1.1
Cement (10,000 tons)
12671
-11.6
85987
-8.6
Plate Glass (10,000 weight cases)
7598
-3.6
51942
-6.2
Pig Iron (10,000 tons)
6835
-4.5
49577
-3.0
Crude Steel (10,000 tons)
7693
-3.6
57704
-3.1
Rolled Steel (10,000 tons)
11646
-4.1
83616
-1.2
Ten Kinds of Non-ferrous Metals (10,000 tons)
697
2.5
4855
3.2
Of which: Primary Aluminum (Electrolytic Aluminum) (10,000 tons)
390
3.8
2717
3.8
Metal-cutting Machine Tools (10,000 units)
8
4.0
51
0.8
Industrial Robots (set)
98677
30.2
635056
28.5
Service Robots (set)
1685797
5.7
12139067
12.2
Motor Vehicles (10,000 sets)
252.9
-0.1
1761.4
-3.4
Of which: Saloon Cars (10,000 sets)
83.1
-17.1
563.2
-20.2
SUV (10,000 sets)
123.6
13.6
851.1
9.8
Of which: New Energy Vehicles (10,000 sets)
155.0
29.9
894.7
9.5
Power Generation Equipment (10,000 kW)
2596
-13.9
20897
2.8
Solar Cells (Photovoltaic Cells) (10,000 kW)
6579
-9.4
44608
-13.6
Micro Computer Equipment (10,000 units)
1955
-23.0
16588
-13.2
Mobile Telephones (10,000 sets)
9881
-16.7
77428
-3.4
Of which: Smartphone (10,000 sets)
7426
-22.9
64770
-3.3
Integrated Circuits (100 million pieces)
530
20.7
3342
23.1
Coal (10,000 tons)
34321
-10.1
270158
-2.9
Coke (10,000 tons)
4135
-1.1
29420
1.2
Crude Oil (10,000 tons)
1827
0.8
12769
0.9
Crude Oil Processing volume (10,000 tons)
5311
-15.8
39696
-6.5
Natural Gas (100 million cubic meters)
214
-0.9
1543
1.2
Electricity Generation of Industrial Enterprises Above the Designated Size (100 million kWh)
9439
-0.1
56985
3.0
Thermal Power (100 million kWh)
5841
-3.5
36127
1.8
Hydropower (100 million kWh)
1616
6.7
7504
8.8
Nuclear Power (100 million kWh)
458
6.6
2805
0.4
Wind Power (100 million kWh)
820
4.5
6433
-0.8
Solar Power (100 million kWh)
703
5.6
4117
11.4
Product Sales Ratio (%)
96.9
-0.6 (percentage points)
96.0
0.1 (percentage points)
Export Delivery Value (100 million yuan)
14133
10.4
95766
9.8
Capital expenditure
Investment in Fixed Assets from January to July 2026
Released 2026-08-18T07:00:00Z · First captured 2026-09-08T12:30:36Z · current · 37 numeric cells
NBS source · Quoted from the website of the National Bureau of Statistics (www.stats.gov.cn)
table-1 (37 rows)
Indicator
Growth Rate Y/Y (%)
Investment in Fixed Assets (Excluding Rural Households)
-6.7
Of which: State-holding
-3.3
Of which: Non-governmental investment
-9.4
Construction and installation
-9.2
Purchase of equipment and instruments
9.0
Other expenses
-10.9
Primary industry
-0.5
Secondary industry
-2.1
Tertiary industry
-9.5
Agriculture, forestry, animal husbandry and fishery
-1.1
Mining
3.3
Manufacturing
-1.7
Of which: Processing of food from agricultural and sideline products
-3.0
Manufacture of foods
-9.4
Textile industry
7.9
Manufacture of raw chemical materials and chemical products
-7.4
Manufacture of medicines
-9.8
Smelting and pressing of non-ferrous metals
-3.9
Manufacture of metal products
-6.9
Manufacture of general-purpose machinery
1.4
Manufacture of special-purpose machinery
-9.2
Manufacture of automobiles
-5.3
Manufacture of railway, ship, aerospace and other transport equipment
18.7
Manufacture of electrical machinery and apparatus
1.4
Manufacture of computers, communication equipment and other electronic equipment
7.8
Production and supply of electricity, heat power, gas and water
-5.3
Transport, storage and post
2.5
Of which: Road transportation
-7.5
Water conservancy, environment and public facilities management
-9.1
Of which: Management of water conservancy
-11.0
Management of public facilities
-9.1
Education
-14.9
Health and social services
-13.0
Culture, sports and entertainment
-13.3
Of which: Domestic-invested enterprises
-6.4
Enterprises funded by investors from Hong Kong, Macao, and Taiwan
-8.1
Foreign-invested enterprises
-5.4
Property development
Investment in Real Estate Development from January to July 2026
Released 2026-08-18T07:00:00Z · First captured 2026-09-08T12:30:36Z · current · 108 numeric cells
NBS source · Quoted from the website of the National Bureau of Statistics (www.stats.gov.cn)
Table 1 Real Estate Development and Sales from January to July 2026 (34 rows)
Indicator
Absolute Value
Growth Rate Y/Y (%)
Investment in real estate development (100 million yuan)
43009
-19.2
Of which: Residential buildings
33172
-19.1
Office buildings
1580
-21.9
Buildings for commercial business
2809
-24.8
Floor space of buildings under construction (10,000 sq.m)
557572
-12.7
Of which: Residential buildings
387051
-13.0
Office buildings
24234
-11.4
Buildings for commercial business
48545
-12.8
Floor space of buildings newly started (10,000 sq.m)
26700
-24.0
Of which: Residential buildings
19490
-24.6
Office buildings
538
-40.2
Buildings for commercial business
1730
-24.1
Floor space of buildings completed (10,000 sq.m)
19195
-23.2
Of which: Residential buildings
13443
-25.5
Office buildings
637
-19.4
Buildings for commercial business
1289
-27.2
Floor space of newly built commercial buildings sold (10,000 sq.m)
45021
-11.8
Of which: Residential buildings
37425
-12.7
Office buildings
1209
-4.9
Buildings for commercial business
2542
-14.2
Sales of newly built commercial buildings (100 million yuan)
42718
-13.1
Of which: Residential buildings
37543
-13.2
Office buildings
1494
-8.2
Buildings for commercial business
2224
-19.8
Floor space of commercial buildings for sale (10,000 sq.m)
75911
-0.8
Of which: Residential buildings
40556
0.0
Office buildings
5200
1.6
Buildings for commercial business
13535
-5.0
Funds for investment this year for real estate development enterprises (100 million yuan)
45748
-20.3
Of which: Domestic loans
6300
-32.1
Foreign investment
4
-77.3
Self-raised funds
16544
-18.5
Deposits and advance receipts
14376
-14.4
Individual mortgage loans
6040
-23.5
Table 2 Real Estate Investment in Eastern, Central, Western and Northeastern Regions from January to July 2026 (5 rows)
Region
Investment | (100 million yuan)
Residential Buildings
Growth Rate Y/Y | (%)
Residential Buildings
National Total
43009
33172
-19.2
-19.1
Eastern
25485
18994
-19.7
-20.4
Central
8409
6982
-20.0
-18.0
Western
8355
6596
-15.9
-15.2
Northeastern
760
600
-29.7
-29.9
Table 3 Sales of Commercial Buildings in Eastern, Central, Western and Northeastern Regions from January to July 2026 (5 rows)
Region
Floor Space of Newly Built Commercial Buildings Sold | Absolute Value | (10,000 sq.m)
Floor Space of Newly Built Commercial Buildings Sold | Growth Rate Y/Y | (%)
Sales of Newly Built Commercial Buildings | Absolute Value | (100 million yuan)
Sales of Newly Built Commercial Buildings | Growth Rate Y/Y | (%)
National Total
45021
-11.8
42718
-13.1
Eastern
20346
-11.2
25990
-12.8
Central
11915
-11.5
7915
-12.1
Western
11318
-12.0
7829
-13.6
Northeastern
1441
-21.5
984
-23.8
Household demand
Total Retail Sales of Consumer Goods from January to July 2026
Released 2026-08-18T07:00:00Z · First captured 2026-09-08T12:30:36Z · current · 102 numeric cells
NBS source · Quoted from the website of the National Bureau of Statistics (www.stats.gov.cn)
table-1 (26 rows)
Indicator
July | Absolute Value (100 million yuan)
July | Growth Rate Y/Y (%)
January - July | Absolute Value (100 million yuan)
January - July | Growth Rate Y/Y (%)
Total retail sales of consumer goods
39022
0.6
287744
1.2
Of which: Retail sales of consumer goods excluding automobiles
35892
2.5
265142
2.7
Of which: Retail sales of enterprises (units) above the designated size
14308
-3.4
108935
-1.1
Of which: Online retail sales of goods
-
-
73965
4.6
Urban
33780
0.5
249285
1.1
Rural
5242
1.6
38459
2.4
Income of the catering industry
4567
1.4
32822
2.6
Of which: Income of the catering industry by enterprises (units) above the designated size
1352
0.0
9678
1.5
Retail sales of goods
34455
0.5
254922
1.1
Of which: Retail sales of goods by enterprises (units) above the designated size
12956
-3.8
99257
-1.4
Of which: Grain, oil and food
1794
5.3
13813
7.2
Beverage
278
3.5
1866
5.6
Tobacco and liquor
431
6.0
3966
12.4
Clothes, shoes, hats and textiles
922
-1.0
8628
5.8
Cosmetics
285
6.8
2723
6.3
Gold, silver and jewelry
189
-10.1
2123
0.7
Daily necessities
652
1.8
4973
4.1
Sports & recreational articles
125
-10.6
996
-3.5
Household appliances and audio-video equipment
946
-1.9
6372
-6.6
Traditional Chinese and Western medicines
577
6.7
4179
3.8
Cultural and office appliances
393
7.4
2834
6.0
Furniture
145
-8.8
1004
-4.5
Telecommunication equipment
787
20.4
6310
15.1
Petroleum and petroleum products
1701
-7.6
12326
-5.9
Motor vehicles
3130
-17.0
22602
-13.2
Building and decoration materials
94
-14.2
690
-9.5
70-city housing
Sales Prices of Commercial Residential Buildings in 70 Medium and Large-sized Cities in July 2026
Released 2026-08-17T07:00:00Z · First captured 2026-09-08T12:30:36Z · current · 1680 numeric cells
NBS source · Quoted from the website of the National Bureau of Statistics (www.stats.gov.cn)
Sales Price Indices of Newly Constructed Commercial Residential Buildings in 70 Large and Medium-Sized Cities | Table I (35 rows)
Cities
M/M | Last Month=100
Y/Y | the Same Month Last Year=100
Average in Jan- Jul | the Same Period Last Year=100
Cities
M/M | Last Month=100
Y/Y | the Same Month Last Year=100
Average in Jan- Jul | the Same Period Last Year=100
Beijing
99.7
97.7
97.8
Tangshan
99.6
94.0
93.8
Tianjin
100.0
95.6
95.4
Qinhuangdao
99.6
95.0
94.8
Shijiazhuang
99.8
95.8
95.6
Baotou
99.8
92.8
92.7
Taiyuan
99.9
98.1
98.2
Dandong
99.8
97.3
97.6
Hohhot
99.9
96.4
96.1
Jinzhou
99.7
97.2
97.1
Shenyang
100.0
100.3
99.9
Jilin
99.8
98.6
98.0
Dalian
100.1
99.9
99.4
Mudanjiang
99.8
98.1
98.3
Changchun
100.2
99.2
98.2
Wuxi
100.1
96.4
95.6
Harbin
99.6
97.3
97.4
Xuzhou
99.8
96.3
95.3
Shanghai
100.2
103.0
103.6
Yangzhou
100.2
96.1
95.0
Nanjing
100.1
98.2
96.8
Wenzhou
99.9
96.1
95.9
Hangzhou
100.3
102.6
102.3
Jinhua
99.9
95.7
95.7
Ningbo
100.1
98.7
98.2
Bengbu
99.7
96.5
96.4
Hefei
99.8
100.3
100.9
Anqing
99.2
95.5
96.3
Fuzhou
99.7
94.8
95.2
Quanzhou
99.6
96.2
96.5
Xiamen
100.0
98.0
97.1
Jiujiang
99.5
94.6
95.6
Nanchang
99.7
96.1
95.2
Ganzhou
99.8
95.5
95.5
Jinan
99.7
96.5
96.5
Yantai
100.1
97.4
96.4
Qingdao
100.1
98.1
97.4
Jining
100.1
95.8
95.3
Zhengzhou
99.8
95.1
94.5
Luoyang
99.5
93.9
94.9
Wuhan
100.1
97.9
96.7
Pingdingshan
99.7
97.2
97.7
Changsha
99.9
95.7
96.5
Yichang
100.1
99.4
99.8
Guangzhou
100.1
97.8
96.0
Xiangyang
99.5
94.9
95.0
Shenzhen
100.2
97.1
95.4
Yueyang
99.6
94.8
95.2
Nanning
100.1
96.5
97.0
Changde
99.9
94.2
94.9
Haikou
99.4
95.6
94.9
Shaoguan
99.6
96.4
97.5
Chongqing
100.1
96.3
95.8
Zhanjiang
99.5
94.4
95.4
Chengdu
99.9
94.9
95.5
Huizhou
100.0
95.1
95.2
Guiyang
99.8
96.6
96.2
Guilin
99.5
94.2
94.4
Kunming
99.8
94.6
94.0
Beihai
99.4
93.9
94.0
Xi’an
99.5
94.4
94.4
Sanya
100.0
97.9
98.6
Lanzhou
99.8
96.3
95.7
Luzhou
99.2
92.3
93.0
Xining
99.5
95.5
96.2
Nanchong
99.9
96.6
96.5
Yinchuan
100.0
98.4
97.2
Zunyi
99.6
95.7
96.4
Urumqi
99.8
98.9
99.8
Dali
99.7
97.1
96.4
Sales Price Indices of Second-Hand Residential Buildings in 70 Large and Medium-Sized Cities | Table II (35 rows)
Cities
M/M | Last Month=100
Y/Y | the Same Month Last Year=100
Average in Jan- Jul | the Same Period Last Year=100
Cities
M/M | Last Month=100
Y/Y | the Same Month Last Year=100
Average in Jan- Jul | the Same Period Last Year=100
Beijing
100.0
95.5
92.9
Tangshan
99.5
92.6
91.9
Tianjin
99.8
94.5
94.0
Qinhuangdao
99.4
92.9
92.1
Shijiazhuang
99.7
94.7
94.4
Baotou
99.5
92.6
92.0
Taiyuan
99.6
95.0
95.3
Dandong
99.7
97.1
96.5
Hohhot
99.7
94.5
94.2
Jinzhou
99.7
97.0
96.4
Shenyang
100.1
98.8
97.7
Jilin
99.9
96.0
95.7
Dalian
99.8
96.6
95.6
Mudanjiang
99.9
97.4
97.2
Changchun
99.7
96.7
96.0
Wuxi
99.8
95.4
94.3
Harbin
99.5
95.4
95.2
Xuzhou
100.2
95.6
92.3
Shanghai
100.3
98.0
95.1
Yangzhou
99.6
92.4
92.7
Nanjing
99.7
94.6
92.9
Wenzhou
99.7
94.4
93.7
Hangzhou
99.9
96.6
95.6
Jinhua
99.8
94.7
94.1
Ningbo
100.0
96.5
94.5
Bengbu
99.7
95.4
95.1
Hefei
99.8
95.2
93.6
Anqing
99.6
95.3
94.4
Fuzhou
99.8
94.9
94.3
Quanzhou
99.5
95.7
95.6
Xiamen
99.7
95.0
93.6
Jiujiang
99.8
92.7
92.7
Nanchang
99.9
93.6
93.1
Ganzhou
99.6
93.4
93.4
Jinan
99.4
94.8
94.7
Yantai
99.8
94.6
93.6
Qingdao
99.4
93.7
93.4
Jining
99.8
94.5
93.5
Zhengzhou
99.7
94.2
92.4
Luoyang
99.4
93.9
94.8
Wuhan
100.0
93.0
91.2
Pingdingshan
99.5
92.4
92.6
Changsha
99.9
93.4
92.1
Yichang
99.8
96.0
95.6
Guangzhou
100.4
95.3
92.8
Xiangyang
99.4
93.3
92.8
Shenzhen
100.2
96.4
94.1
Yueyang
99.8
93.8
93.6
Nanning
99.9
93.7
93.3
Changde
99.5
92.7
92.3
Haikou
99.1
93.1
93.5
Shaoguan
99.5
94.1
94.6
Chongqing
99.8
95.5
94.5
Zhanjiang
99.4
93.8
94.3
Chengdu
99.7
93.8
94.1
Huizhou
99.7
94.2
93.6
Guiyang
99.6
94.9
94.6
Guilin
99.8
93.2
92.9
Kunming
99.4
93.1
92.9
Beihai
99.5
93.4
93.0
Xi’an
99.6
93.2
91.8
Sanya
99.6
93.1
93.0
Lanzhou
99.8
95.3
94.7
Luzhou
99.3
90.6
91.4
Xining
99.7
97.3
98.0
Nanchong
99.8
94.2
94.6
Yinchuan
99.7
94.2
93.6
Zunyi
99.7
94.6
94.8
Urumqi
99.9
95.4
95.2
Dali
99.5
93.0
93.6
Table III (70 rows)
Cities
90m 2 and Below | M/M | Last Month=100
90m 2 and Below | Y/Y | the Same Month Last Year=100
90m 2 and Below | Average in Jan- Jul | the Same Period Last Year=100
90-144m 2 | M/M | Last Month=100
90-144m 2 | Y/Y | the Same Month Last Year=100
90-144m 2 | Average in Jan- Jul | the Same Period Last Year=100
Above 144m 2 | M/M | Last Month=100
Above 144m 2 | Y/Y | the Same Month Last Year=100
Above 144m 2 | Average in Jan- Jul | the Same Period Last Year=100
Beijing
99.7
96.5
96.7
99.6
96.9
97.0
99.8
98.9
99.1
Tianjin
99.8
96.0
95.9
100.0
95.4
95.3
100.2
95.9
95.7
Shijiazhuang
99.2
95.7
95.6
100.0
96.7
96.3
99.8
94.6
94.7
Taiyuan
99.8
98.1
97.5
100.1
98.4
98.3
99.6
97.9
98.1
Hohhot
99.9
96.6
96.7
99.8
96.7
96.5
100.1
95.5
95.0
Shenyang
100.2
100.8
99.9
99.8
99.9
99.7
100.4
100.7
100.4
Dalian
99.7
98.3
98.0
100.1
100.4
99.8
100.3
99.5
99.2
Changchun
100.4
98.5
97.1
100.3
99.6
98.5
100.0
98.7
98.2
Harbin
99.4
95.4
95.9
99.5
97.4
97.5
99.9
98.6
98.5
Shanghai
100.0
101.9
102.7
100.0
101.3
102.3
100.4
105.5
105.5
Nanjing
99.9
98.1
96.9
100.0
97.7
96.5
100.5
99.2
97.3
Hangzhou
100.2
100.4
100.0
100.3
100.2
100.3
100.3
105.1
104.4
Ningbo
100.2
98.5
97.8
100.1
99.0
97.8
100.1
98.5
98.6
Hefei
100.0
101.4
102.0
99.7
100.5
101.0
100.0
99.7
100.6
Fuzhou
99.6
94.6
94.7
100.0
94.9
94.9
99.4
94.6
95.7
Xiamen
100.4
97.2
95.5
99.7
98.2
97.6
100.2
98.1
97.2
Nanchang
99.7
95.6
95.5
99.7
96.5
95.4
99.8
95.0
94.4
Jinan
99.9
94.4
95.3
99.6
96.6
96.8
99.9
96.4
96.3
Qingdao
100.4
96.5
96.2
100.0
98.1
97.4
100.2
98.3
97.4
Zhengzhou
99.9
95.1
94.3
99.8
95.9
95.2
99.7
94.0
93.5
Wuhan
100.3
98.1
97.0
100.1
97.4
96.2
100.0
99.3
97.9
Changsha
99.4
95.9
97.2
99.7
96.1
96.7
100.2
95.0
96.2
Guangzhou
100.1
97.8
96.0
100.2
97.5
95.8
100.0
98.4
96.7
Shenzhen
100.0
97.2
95.5
100.2
96.8
95.2
100.5
97.9
95.9
Nanning
100.2
96.0
96.5
100.1
97.0
97.3
99.7
95.5
96.2
Haikou
99.7
96.2
95.0
99.2
94.7
94.3
99.9
97.3
96.0
Chongqing
100.2
96.5
96.3
100.1
96.3
95.6
100.0
96.1
96.2
Chengdu
99.8
96.4
97.0
99.9
94.8
95.2
99.7
95.1
95.7
Guiyang
100.4
96.3
94.7
99.8
96.8
96.6
99.6
95.8
95.3
Kunming
99.9
93.3
93.0
99.8
94.9
94.1
99.6
94.1
94.0
Xi’an
99.7
95.2
94.9
99.5
93.8
93.6
99.5
95.3
95.8
Lanzhou
99.7
97.1
96.4
99.8
96.2
95.6
99.9
96.6
96.1
Xining
99.4
95.0
95.2
99.6
95.2
96.0
99.2
96.3
97.1
Yinchuan
100.6
100.1
98.5
100.0
98.6
97.4
99.8
97.6
96.6
Urumqi
100.2
99.6
100.3
99.7
98.7
99.8
99.9
99.3
100.0
Tangshan
99.2
93.9
94.0
99.8
94.0
93.8
99.4
94.1
94.0
Qinhuangdao
99.5
94.6
94.4
99.8
95.2
95.0
99.2
94.6
94.5
Baotou
99.6
92.5
92.1
99.9
92.9
92.9
99.5
92.5
92.0
Dandong
99.8
97.7
97.5
99.7
97.0
97.6
100.2
98.1
97.6
Jinzhou
99.6
97.6
97.4
99.9
97.8
97.5
99.1
95.5
95.9
Jilin
99.8
97.3
97.1
99.7
98.8
98.2
99.9
99.1
98.4
Mudanjiang
99.4
96.6
97.2
99.9
98.6
98.8
99.5
96.8
96.7
Wuxi
100.0
95.6
95.5
100.1
96.9
95.6
100.1
95.9
95.5
Xuzhou
100.2
97.3
96.1
99.9
96.4
95.0
99.6
96.0
96.0
Yangzhou
100.0
94.2
93.7
100.2
96.4
95.5
100.2
95.7
94.1
Wenzhou
99.7
96.0
95.8
100.0
96.4
95.8
99.7
95.9
95.9
Jinhua
99.8
96.1
96.4
99.9
95.9
95.9
100.0
95.3
95.2
Bengbu
99.6
96.4
96.6
99.7
96.9
96.7
99.8
95.6
95.7
Anqing
99.6
98.6
98.3
99.2
95.9
96.6
99.1
93.7
94.9
Quanzhou
99.7
97.0
97.6
99.7
96.0
95.9
99.4
96.6
97.4
Jiujiang
99.3
94.5
95.7
99.6
94.3
95.2
99.2
95.7
97.1
Ganzhou
100.0
96.1
96.6
99.9
95.6
95.5
99.5
95.3
95.5
Yantai
99.6
95.9
96.0
100.1
97.3
96.4
100.1
97.6
96.5
Jining
100.8
97.0
96.6
100.1
95.1
94.5
100.0
97.2
97.0
Luoyang
99.5
93.5
94.0
99.6
93.7
94.8
99.5
94.5
95.2
Pingdingshan
99.6
97.8
98.6
99.8
97.1
97.6
99.7
97.3
98.0
Yichang
99.8
101.4
101.4
100.2
99.5
99.7
99.7
98.5
99.7
Xiangyang
99.8
93.7
94.0
99.6
95.2
95.0
99.1
94.0
95.2
Yueyang
99.8
94.5
94.6
99.6
94.9
95.2
99.4
94.7
95.4
Changde
100.3
94.7
94.9
99.9
94.1
94.9
99.6
94.4
95.2
Shaoguan
100.0
99.9
99.6
99.8
96.3
97.6
99.2
96.4
97.4
Zhanjiang
99.6
94.0
95.8
99.4
94.5
95.4
99.7
93.6
94.7
Huizhou
100.1
95.6
95.3
99.8
94.9
95.2
100.7
95.6
94.9
Guilin
99.7
94.0
94.5
99.5
94.3
94.4
99.4
94.2
94.4
Beihai
99.4
93.6
93.5
99.5
94.4
94.7
99.2
93.0
93.5
Sanya
100.1
99.3
99.3
99.9
97.1
98.0
100.0
98.9
99.3
Luzhou
98.9
93.4
94.2
99.2
92.2
92.8
99.5
92.8
93.4
Nanchong
100.0
96.6
96.5
99.8
96.5
96.5
100.1
96.9
96.5
Zunyi
99.6
94.1
95.0
99.5
96.0
96.8
99.9
94.9
95.3
Dali
99.6
96.3
96.0
99.6
97.4
96.7
99.9
96.5
96.0
Table IV (70 rows)
Cities
90m 2 and Below | M/M | Last Month=100
90m 2 and Below | Y/Y | the Same Month Last Year=100
90m 2 and Below | Average in Jan- Jul | the Same Period Last Year=100
90-144m 2 | M/M | Last Month=100
90-144m 2 | Y/Y | the Same Month Last Year=100
90-144m 2 | Average in Jan- Jul | the Same Period Last Year=100
Above 144m 2 | M/M | Last Month=100
Above 144m 2 | Y/Y | the Same Month Last Year=100
Above 144m 2 | Average in Jan- Jul | the Same Period Last Year=100
Beijing
99.9
94.8
92.2
100.0
95.5
93.0
100.0
97.1
94.6
Tianjin
99.9
94.9
94.2
99.8
94.2
93.9
99.5
94.1
93.7
Shijiazhuang
99.9
94.1
93.9
99.8
94.9
94.5
99.3
95.3
94.9
Taiyuan
99.7
95.1
95.2
99.9
95.0
95.4
99.2
94.8
95.1
Hohhot
99.4
93.9
94.1
99.8
94.6
94.1
99.7
94.9
94.5
Shenyang
99.9
98.3
97.4
100.1
99.1
97.6
100.2
99.1
98.5
Dalian
99.8
96.1
94.8
100.1
97.3
96.2
99.3
96.3
96.0
Changchun
99.8
97.8
97.0
99.6
96.5
95.8
99.8
95.0
94.4
Harbin
99.4
96.0
95.6
99.8
95.8
95.5
99.0
93.5
94.0
Shanghai
100.5
98.3
95.1
100.0
97.5
95.0
100.5
98.0
95.2
Nanjing
99.5
94.3
92.8
99.8
94.6
92.7
100.2
95.5
93.6
Hangzhou
99.9
95.9
95.3
99.8
96.7
95.8
100.1
97.3
95.8
Ningbo
99.9
95.4
93.5
100.1
97.4
95.2
100.1
95.5
93.6
Hefei
99.8
95.3
93.6
99.9
95.3
93.5
99.6
94.8
93.9
Fuzhou
99.7
94.5
94.0
99.9
95.2
94.3
99.6
94.8
94.6
Xiamen
99.6
94.7
93.4
99.9
95.5
93.7
99.4
94.4
93.7
Nanchang
99.6
93.2
92.8
100.0
93.8
93.0
99.9
93.6
93.4
Jinan
99.3
97.5
97.4
99.6
94.1
94.0
99.1
93.6
94.0
Qingdao
99.9
93.9
93.6
99.3
93.7
93.1
99.3
93.5
93.8
Zhengzhou
99.6
94.2
92.7
99.7
94.4
92.3
99.9
93.7
92.4
Wuhan
99.9
93.5
91.7
100.0
92.8
90.8
100.1
93.2
91.6
Changsha
99.7
93.4
92.2
99.9
93.6
92.0
100.1
93.1
92.2
Guangzhou
100.4
94.9
92.5
100.5
96.1
93.2
100.3
94.6
92.5
Shenzhen
100.1
96.1
94.2
100.4
97.5
94.5
100.0
95.2
93.6
Nanning
99.6
93.2
92.8
100.1
93.7
93.6
100.1
94.3
93.2
Haikou
98.9
93.0
93.5
99.2
93.2
93.5
98.9
92.8
93.5
Chongqing
99.8
95.4
94.2
99.7
96.1
95.0
99.9
94.6
93.7
Chengdu
99.5
93.4
94.1
99.9
93.9
94.1
99.8
94.3
94.3
Guiyang
99.2
94.3
94.7
99.7
94.7
94.2
100.1
96.1
95.4
Kunming
99.9
93.0
92.6
99.2
93.2
93.2
99.2
92.8
92.5
Xi’an
99.9
94.1
92.6
99.5
92.8
91.2
99.4
93.2
92.7
Lanzhou
99.5
95.0
95.0
99.9
95.4
94.5
100.0
95.7
94.7
Xining
99.7
97.7
98.3
99.8
97.6
98.3
99.4
95.5
96.1
Yinchuan
99.9
94.5
94.2
99.8
94.3
93.6
99.4
93.5
93.0
Urumqi
100.0
96.0
95.9
99.8
95.2
94.8
99.6
94.8
95.6
Tangshan
99.6
92.4
91.8
99.5
92.7
91.9
99.3
92.7
92.3
Qinhuangdao
99.5
93.1
92.1
99.2
92.9
92.2
99.4
92.7
91.6
Baotou
99.2
92.4
92.3
99.8
93.0
91.9
99.3
91.5
91.4
Dandong
99.4
96.6
96.5
99.8
97.3
96.4
99.9
97.8
97.0
Jinzhou
99.9
97.4
96.6
99.5
96.6
96.3
100.2
97.9
96.3
Jilin
99.8
96.1
95.8
99.9
95.9
95.6
99.8
95.9
95.3
Mudanjiang
99.9
97.2
97.1
99.9
97.6
97.3
99.7
96.7
96.9
Wuxi
99.5
95.0
94.1
99.9
95.5
94.1
99.5
95.9
95.1
Xuzhou
100.3
95.3
92.0
100.1
95.9
92.5
100.4
94.7
91.6
Yangzhou
99.7
91.6
91.6
99.4
92.7
93.2
99.7
93.5
93.4
Wenzhou
99.7
94.7
93.8
99.7
94.2
93.7
99.8
94.4
93.6
Jinhua
99.8
94.6
93.7
99.7
94.5
94.1
99.8
95.1
94.5
Bengbu
99.7
94.5
93.9
99.6
95.8
95.6
99.7
94.4
94.1
Anqing
99.9
94.9
93.9
99.6
95.7
94.8
99.4
93.4
92.8
Quanzhou
99.3
94.1
94.2
99.4
95.8
95.7
99.6
96.9
96.3
Jiujiang
99.8
92.1
92.8
99.8
92.8
92.7
99.6
92.6
92.8
Ganzhou
99.6
94.0
93.5
99.7
93.8
93.8
99.1
91.6
92.3
Yantai
99.9
93.4
92.0
99.7
95.0
94.1
99.8
94.7
93.7
Jining
99.5
92.1
91.4
99.7
94.6
93.5
100.0
95.9
94.7
Luoyang
99.3
92.8
93.8
99.5
94.5
95.4
99.5
93.4
94.5
Pingdingshan
99.5
92.4
93.2
99.6
92.5
92.3
99.4
92.2
93.2
Yichang
100.3
97.5
95.9
99.6
95.4
95.5
100.2
96.7
95.4
Xiangyang
99.6
93.4
93.0
99.5
93.0
92.6
99.0
94.4
93.7
Yueyang
99.8
93.9
93.8
99.7
93.6
93.4
100.0
94.7
94.2
Changde
99.5
92.4
91.9
99.4
92.9
92.3
99.8
92.6
92.5
Shaoguan
99.9
94.1
94.4
99.5
94.2
94.7
99.3
93.8
94.7
Zhanjiang
99.8
93.0
93.7
99.2
93.7
94.4
99.4
95.0
94.9
Huizhou
99.9
96.1
94.6
99.6
93.6
93.3
99.8
94.0
93.3
Guilin
100.0
93.6
93.3
99.8
92.9
92.7
99.7
93.8
93.1
Beihai
99.5
93.3
92.8
99.6
93.4
93.1
99.4
93.4
93.3
Sanya
99.7
93.5
93.5
99.8
93.0
92.5
99.2
92.3
92.8
Luzhou
99.2
91.2
92.0
99.3
90.2
91.0
99.4
91.7
92.1
Nanchong
99.7
94.2
94.6
99.9
94.6
94.8
98.9
92.0
93.2
Zunyi
99.7
95.2
94.8
99.6
94.4
95.0
99.8
94.5
93.9
Dali
99.3
93.2
93.7
99.4
92.9
93.8
99.6
93.0
93.5
Consumer prices
Consumer Price Index in July 2026
Released 2026-08-10T01:30:00Z · First captured 2026-09-08T12:30:36Z · current · 138 numeric cells
NBS source · Quoted from the website of the National Bureau of Statistics (www.stats.gov.cn)
table-1 (46 rows)
Growth Rate M/M (%)
Growth Rate Y/Y (%)
Jan-Jul Growth Rate Y/Y (%)
Consumer Price Index
-0.1
0.5
0.9
Of which: Urban
-0.1
0.5
1.0
Rural
-0.2
0.4
0.7
Of which: Food
0.0
-1.5
-0.7
Non-food
-0.1
0.9
1.3
Of which: Consumer goods
-0.6
0.2
1.0
Services
0.4
0.7
0.8
Of which: Excluding food and energy
0.3
0.9
1.1
I. Food, tobacco, liquor and dining out
0.0
-0.8
-0.2
Grain
0.1
-0.4
-0.3
Edible oil and fats
-0.1
-1.1
-1.0
Fresh vegetables
1.3
-0.3
3.5
Meat of livestock
1.9
-6.0
-5.8
Of which: Pork
4.1
-13.3
-13.4
Beef
0.3
4.5
6.0
Mutton
0.0
6.2
6.0
Aquatic products
0.1
-0.6
1.6
Eggs
-1.7
14.4
2.8
Milk and other dairy products
0.0
-1.5
-1.2
Fresh fruits
-3.8
-1.1
1.1
Cigarettes
-0.1
-0.7
-0.4
Liquor
-0.2
-3.0
-2.7
II. Clothing
-0.4
1.4
1.6
Garments
-0.4
1.5
1.7
Footwear
-0.5
0.9
1.1
III. Residence
0.0
-0.3
-0.2
Rent of rental housing
0.1
-0.6
-0.5
Water, electricity and fuels
0.0
0.5
0.5
IV. Household facilities, articles and services
0.4
0.8
1.7
Home appliances
0.2
0.2
3.2
Household services
0.0
1.0
1.0
V. Transportation and telecommunication
-2.2
0.4
1.6
Automobiles
-0.2
-1.3
-1.2
Energy for transport facilities
-9.8
0.8
5.2
Use and maintenance of transport facilities
0.1
0.5
0.8
Communication facilities
1.0
8.3
4.6
Telecommunication services
0.0
0.1
0.1
Postal services
0.0
-0.4
-0.5
VI. Education, culture and recreation
1.0
1.3
1.2
Education services
0.0
0.6
0.5
Travel agencies and other touring services
6.6
2.2
3.2
VII. Health care and medical services
0.8
2.9
2.1
Traditional Chinese medicines
0.0
-0.8
-1.3
Western medicines
-0.1
-1.5
-1.3
Medical services
1.1
4.3
3.2
VIII. Miscellaneous goods and services
0.0
5.8
10.8
Producer prices
Industrial Producer Price Indexes in July 2026
Released 2026-08-10T01:30:00Z · First captured 2026-09-08T12:40:52Z · current · 150 numeric cells
NBS source · Quoted from the website of the National Bureau of Statistics (www.stats.gov.cn)
table-1 (50 rows)
Growth Rate M/M (%)
Growth Rate Y/Y (%)
Jan-Jul Growth Rate Y/Y (%)
I. Producer Price Indexes for Industrial Products
-0.7
3.5
1.8
Means of production
-0.9
4.8
2.6
Mining and quarrying
-0.2
16.4
6.4
Raw materials
-2.4
6.1
4.0
Processing
-0.1
3.1
1.5
Consumer goods
-0.1
-0.8
-1.2
Food
0.0
-2.1
-1.9
Clothing
-0.3
-1.1
-1.0
Articles for daily use
-0.2
-1.0
-1.3
Durable consumer goods
0.0
0.4
-0.6
II. Purchasing Price Indexes for Industrial Producers
-1.0
5.5
2.8
Fuel and power
-2.6
9.3
2.1
Ferrous metals
-0.2
1.4
-0.9
Nonferrous metals and cables
-1.4
19.0
20.5
Raw chemical materials
-2.6
9.3
3.6
Timber and paper pulp
0.1
-0.5
-2.0
Building materials and non-metals
-0.1
-4.1
-4.7
Other industrial raw materials and semi-products
-0.1
1.6
0.4
Agricultural and sideline products
0.5
-0.8
-1.9
Textile materials
-0.2
3.2
0.7
Mining and washing of coal
4.2
27.1
5.1
Extraction of petroleum and natural gas
-9.2
3.2
7.8
Mining and processing of ferrous metal ores
-1.9
4.7
2.6
Mining and processing of non-ferrous metal ores
-2.1
22.6
30.4
Mining and processing of non-metal ores
-0.3
-2.6
-3.9
Processing of food from agricultural and sideline products
0.0
-1.3
-1.4
Manufacture of foods
-0.2
-1.2
-1.6
Manufacture of liquor, beverages and refined tea
-0.1
-5.7
-3.1
Manufacture of tobacco
0.0
0.1
0.2
Textile industry
-0.1
1.7
0.1
Manufacture of textiles, wearing apparel and accessories
-0.3
-1.4
-1.4
Processing of timber, manufacture of wood, bamboo, rattan, palm and straw products
-0.2
-1.7
-2.3
Manufacture of paper and paper products
0.9
1.2
-1.2
Printing and reproduction of recording media
-0.3
-3.0
-3.1
Processing of petroleum, coal and other fuels
-6.0
8.2
3.8
Manufacture of raw chemical materials and chemical products
-2.6
9.1
4.6
Manufacture of medicines
0.0
-4.0
-4.5
Manufacture of chemical fibers
0.3
8.4
2.0
Manufacture of rubber and plastic products
-0.4
1.4
-1.4
Manufacture of non-metallic mineral products
-0.5
-3.9
-4.9
Smelting and pressing of ferrous metals
-0.8
2.7
-0.6
Smelting and pressing of non-ferrous metals
-1.7
20.2
21.7
Manufacture of metal products
-0.2
1.5
0.5
Manufacture of general-purpose machinery
0.0
-0.5
-1.0
Manufacture of automobiles
-0.4
-2.3
-2.2
Manufacture of railway, ships, aerospace and other transport equipment
0.2
0.0
-0.2
Manufacture of computers, communication equipment and other electronic equipment
0.6
4.4
1.3
Production and supply of electricity and heat power
-0.5
-4.0
-4.1
Production and supply of gas
-0.2
4.1
0.3
Production and supply of water
0.0
0.6
1.4
Commodity prices
Market Prices of Important Means of Production in Circulation, August 21-31, 2026
Released 2026-09-04T01:30:00Z · First captured 2026-09-08T12:30:36Z · current · 150 numeric cells
NBS source · Quoted from the website of the National Bureau of Statistics (www.stats.gov.cn)
table-1 (50 rows)
Products | I. Ferrous Metals
Units
Current Price (yuan)
Price Change over Previous Period (yuan)
±Rate (%)
Rebar (Φ20mm, HRB400E)
ton
3130.3
67.4
2.2
Wire (Φ8-10mm, HPB300)
ton
3317.8
63.1
1.9
Ordinary Medium Plate (20mm, Q235)
ton
3526.9
44.5
1.3
Ordinary Hot-Rolled Sheet (4.75-11.5mm, Q235)
ton
3326.4
61.1
1.9
Seamless Steel Pipe (219*6, 20#)
ton
4011.9
1.4
0.0
Angle Steel (5#)
ton
3435.4
25.3
0.7
Electrolytic Copper (1#)
ton
108899.3
663.0
0.6
Aluminum Ingot (A00)
ton
23835.7
-120.6
-0.5
Lead Ingot (1#)
ton
15946.4
280.8
1.8
Zinc Ingot (0#)
ton
26090.7
573.2
2.2
Sulfuric Acid (98%)
ton
1903.8
-36.8
-1.9
Caustic Soda (Liquid Caustic Soda, 32%)
ton
685.4
0.9
0.1
Methyl Alcohol (Superior Quality)
ton
2873.2
237.6
9.0
Pure Benzene (Petroleum Benzene, Industrial Grade)
ton
8129.7
186.5
2.3
Ethyl Alcohol (95.0%)
ton
5340.5
-48.7
-0.9
Polyethylene (LLDPE, Melt Index 2 Film Material)
ton
8745.5
143.2
1.7
Polypropylene (Wire Drawing Material)
ton
9187.1
152.7
1.7
Glacial Acetic Acid (99.5% and above)
ton
3153.8
187.1
6.3
Butadiene Rubber (BR9000)
ton
14176.2
686.6
5.1
Polyester Filament (POY150D/48F)
ton
8975.0
384.4
4.5
Lithium Iron Phosphate (Standard Power Grade)
ton
56905.4
790.9
1.4
Liquefied Natural Gas (LNG)
ton
5724.6
151.8
2.7
Liquefied Petroleum Gas (LPG)
ton
5963.8
155.3
2.7
Gasoline (95#, National VI Emission Standard)
ton
9898.3
348.3
3.6
Diesel Oil (0#, National VI Emission Standard)
ton
8328.5
272.2
3.4
Paraffin (58#, Semi-refined)
ton
7472.5
14.1
0.2
Anthracite (Washed, Medium Pieces)
ton
1477.1
122.6
9.1
Shanxi Superior Mixed Coal (5500 kilocalories)
ton
870.1
8.1
0.9
Coking Coal (Main Coking Coal)
ton
2371.4
328.3
16.1
Coke (Quasi Primary Metallurgical Coke)
ton
1760.7
114.3
6.9
Ordinary Portland Cement (P.O 42.5 in Bulk)
ton
248.7
-0.4
-0.2
Float Flat Glass (5/6mm)
ton
1074.1
-10.5
-1.0
Polysilicon (Dense Grade)
kg
40.5
5.1
14.4
Rice (Japonica Rice)
ton
3980.1
-2.5
-0.1
Wheat (National Standard Grade III)
ton
2395.3
0.2
0.0
Corn (Yellow Corn Grade II)
ton
2240.1
4.3
0.2
Cotton (Ginned Cotton, White Cotton Grade III)
ton
17590.3
106.3
0.6
Live Hog (Three-way Crossbred)
kg
10.9
-0.1
-0.9
Soybean (Soy)
ton
4632.1
98.9
2.2
Soybean Meal (Crude Protein Content≥43%)
ton
3187.5
86.4
2.8
Peanut (For Oil Processing)
ton
7391.7
33.4
0.5
White Sugar (National Standard Grade I)
ton
5183.6
-16.4
-0.3
Urea (Small and Medium Granules)
ton
1745.4
-5.0
-0.3
Phosphate Fertilizer (55% Monoammonium Phosphate)
ton
4360.4
-78.7
-1.8
Potassium Fertilizer (62% White Muriate of Potash, Port Price)
ton
3087.0
-23.9
-0.8
Compound Fertilizer (Compound Fertilizer of Potassium Sulfate, 45% NPK)
ton
3620.6
-7.2
-0.2
Pesticide (Glyphosate, 95% Technical Material)
ton
25678.6
-271.4
-1.0
Natural Rubber (Standard Rubber SCRWF)
ton
17763.1
663.1
3.9
Pulp (Imported Coniferous Pulp)
ton
4965.6
124.8
2.6
Corrugated Paper (AA Grade, 120g)
ton
3192.1
-36.7
-1.1
Depth, provenance and remaining gaps
Palimpsest aims to make China’s economic evidence useful at a granular level. China Beige Book’s private respondent network measures information that these public tables cannot supply. More table cells do not mean more independent evidence.
Dimension
Public evidence available here
Remaining gap
Industry and sector
Industrial revenue, costs, profits, production, retail and price tables
No consistent private-firm panel across all sectors
City
Housing-price tables for 70 cities, when captured
Housing coverage is not a city-wide economic survey
Ownership
Published state-holding, share-holding, private and foreign-invested aggregate categories
Overlapping categories; no respondent-level ownership comparison
Firm size
Published large, medium and small enterprise manufacturing PMI, when present
No private small-business credit, revenue or hiring panel
Province by sector
Not yet collected as a consistent time series
Provincial releases and licensed aggregate panels remain a priority
Credit and shadow finance
No independent firm-level borrowing-access measurement
Rejections, loan terms and informal credit require a licensed aggregate source
Economic evidence can inform questions about trade, debt and project demand. A shared country or date does not establish a link to narcotics, an armed group, or an individual.