Survey: Chinese iron ore miners 2023.11.17

Mysteel bi-weekly survey on China domestic independent iron ore miners. 126 Independent Miners Production Survey To better reflect China's domestic iron ore mining companies' performance, Mysteel has decided to enrich the content sharing for this particular survey starting January 18 2019, and the sample size has been enlarged to 126 and 186 independent iron ore mining companies for different segments from the original 70 and 126 respectively. Output this week: 506.5 Kt/day Output last week: 500.7 Kt/day Capacity Utilization Rate this week: 64.87% Pleaes contact Mysteel global sales (email: globalsales@mysteel.com) for detailed 186 iron ore mining company data. Note: 1. Iron ore concentrates capacity of these 126 samples totaled 207 million tonnes/year, accounting for around 55.2% of the country's total iron ore concentrates capacity as of 2018. 2. Iron ore concentrates capacity of the 186 samples totaled 257 million tonnes/year, accounting for around 68.5% of the country's total iron ore concentrates capacity as of 2018. 3. 186 samples are located in 23 Chinese provinces or cities including Heilongjiang, Jilin and Liaoning in Northeast China (NE. China); Shaanxi, Gansu and Xinjiang in Northwest China (NW. China); Hebei, Inner Mongolia, Shanxi and Beijing in North China (N China); Hunan, Hubei and Henan in Central China (C. China); Shandong, Anhui, Jiangsu, Zhejiang, Jiangxi and Fujian in East China (E. China); Guangdong and Hainan in South China (S. China); Sichuan and Yunnan in Southwest China (SW. China). 4. To better reflect China's domestic iron ore mining companies' performance, Mysteel has decided to enrich the content sharing for this particular survey starting January 18 2019, and the sample size has been enlarged to 126 and 186 independent iron ore mining companies for different segments from the original 70 and 126 respectively. Edited by Maggie Shi, shimenga@mysteel.com Disclaimer: The data is provided only for market reference. Mysteel accepts no responsibilities for consequences caused by usage of the data.