US weekly raw steel output climbed higher during June first week

게시됨: Jun 9, 2015 14:17
As per the statistics released by the American Iron and Steel Institute (AISI), the raw steel production by the country ended marginally higher during the week ended June 6th, 2015.

Author: Paul Ploumis
09 Jun 2015 Last updated at 01:36:01 GMT
ALBANY (Scrap Monster): As per the statistics released by the American Iron and Steel Institute (AISI), the raw steel production by the country ended marginally higher during the week ended June 6th, 2015. The production had registered decline during the week prior to this.

The total raw steel output during the week ending June 6th was 1,722,000 net tons. The AISI data indicates that the US raw steel production has increased by 1.3% during the week. This is in comparison with the previous week (ie., the week ended May 30th) production figures of 1,700,000 net tons. However, the weekly output represents a sharp decline of 8.8% in comparison with production of 1,889,000 net tons during same week the previous year.

The capability utilization rate of US steel makers was 72.8% during the week ended June 6th, 2015.

The capacity utilization rate has increased marginally when compared to 71.9% during the previous week (ie., the week ending May 30th). However, capacity utilization was considerably lower when compared with the rate of 78.5% during same week the previous year.

The region-wise comparative weekly production figures are provided below:-

 

Region

Steel production (in ‘000 nt)

% Change

Week ended May 30th

Week ended June 6th

North East

223

226

+1.35

Great Lakes

631

593

-5.48

Southern

553

602

+8.86

Western

80

87

+8.75

Midwest

213

214

+0.47

The American Iron and Steel Institute (AISI) is an association of North American steel producers. AISI's member companies represent over three quarters of both U.S. and North American steel capacity.

AISI determines its weekly raw steel production data based on weekly data from 50% of the domestic industry and estimates the rest using monthly production data.
 

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