September 2019 chlorine production
In September, the European chlorine production reached 747,232 tonnes. With 24,908 tonnes, the September 2019 average daily production was 6.9% lower than in the previous month (August 2019: 26,748 tonnes), but 1.8% higher than in September 2018 (24,477 tonnes).
With 254,672 tonnes, the September 2019 caustic soda stocks were 3.3% lower than in the previous month (August 2019: 263,428 tonnes), and 23,693 tonnes above the level of September 2018 (230,979 tonnes).
The following tables give the details of chlorine production and caustic soda stocks in the EU-28 countries plus Norway and Switzerland in September 2019.
Chlorine production & capacity utilisation - EU 28 + Norway/Switzerland
Month | Production (tonnes) | Capacity Utilisation (%) | |||
2018 | 2019 | % change | 2018 | 2019 | |
January | 843,064 | 863,084 | +2.4 | 88.2 | 88.7 |
February | 782,319 | 788,146 | +0.7 | 90.6 | 89.7 |
March | 797,616 | 819,719 | +2.8 | 83.5 | 84.3 |
April | 755,494 | 789,095 | +4.4 | 81.7 | 83.8 |
May | 813,827 | 746,190 | -8.3 | 85.2 | 76.7 |
June | 788,642 | 750,825 | -4.6 | 85.3 | 79.9 |
First 1/2 Year | 4,780,962 | 4,757,060 | -0.5 | 85.7 | 83.8 |
July | 819,034 | 818,013 | -0.1 | 85.7 | 84.1 |
August | 803,401 | 829,181 | +3.2 | 84.1 | 85.2 |
September | 734,298 | 747,232 | +1.8 | 79.4 | 79.4 |
Caustic soda stocks (tonnes)
2018 | 2019 | |
January | 254,773 | 273,806 |
February | 279,094 | 287,476 |
March | 260,683 | 294,188 |
April | 259,979 | 294,466 |
May | 271,412 | 276,926 |
June | 256,396 | 236,905 |
July | 239,654 | 219,446 |
August | 241,633 | 263,428 |
September | 230,979 | 254,673 |
For more information please contact:
Marleen Pauwels, Executive Director, Euro Chlor, +32 2 436 9500
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.