August 2018 Chlorine Production
With 25,915 tonnes, the August average daily production was 1.9% lower than in the previous month (July 2018: 26,425 tonnes) and 5.5% lower than in August 2017 (27,413 tonnes).
With 241,633 tonnes, the August 2018 caustic soda stocks were 2.1% higher than in the previous month (July 2018: 236,654 tonnes), and 33,147 tonnes above the level of August 2017 (208,486 tonnes).
The following tables give the details of chlorine production and caustic soda stocks in the EU-28 countries plus Norway and Switzerland in August 2018.
Chlorine production & capacity utilisation - EU 28 + Norway/Switzerland
| Month | Production (tonnes) | Capacity Utilisation (%) | |||
| 2017 | 2018 | % change | 2017 | 2018 * |
|
| January | 841,842 | 843,120 | 0.2 | 82.9 | 88.2 |
| February | 775,425 | 782,082 | 0.9 | 84.5 | 90.6 |
| March | 791,946 | 797,619 | 0.7 | 78.0 | 83.5 |
| April | 780,906 | 755,540 | -3.2 | 79.4 | 81.7 |
| May | 835,190 | 813,808 | -2.6 | 82.2 | 85.2 |
| June | 828,540 | 788,745 | -4.8 | 84.3 | 85.3 |
| July | 865,803 | 819,175 | -5.4 | 85.2 | 85.7 |
| August | 849,817 | 803,353 | -5.5 | 83.6 | 84.1 |
* We have updated the Capacity Utilisation based on the 2018 capacity data provided in the Euro Chlor annual statistical survey report. 2018 Capacity is used due to mercury plants closures in 2017.
Caustic soda stocks (tonnes)
| 2017 | 2018 | |
| January | 202,438 | 254,773 |
| February | 226,314 | 279,094 |
| March | 200,896 | 260,683 |
| April | 195,889 | 259,979 |
| May | 189,783 | 271,412 |
| June | 179,166 | 256,396 |
| July | 193,778 | 236,654 |
| August | 208,486 | 241,633 |
For more information please contact:
Dolf van Wijk, Executive Director, Euro Chlor, +32 2.676.73.70.
About Euro Chlor
Euro Chlor represents 35 full member companies producing chlorine at 65 manufacturing locations in 21 countries.
Note to editors:
Some of the totals for each month may vary slightly compared with figures used earlier. Please rely on the most recent information since it sometimes happens that we have to estimate when a producer is late in providing data. This is subsequently adjusted when the actual figure becomes available.
