Gross Weight Of Goods Transported To/from Main Ports - United Kingdom - Quarterly Data

Eurostat code: mar_go_qm_uk · (2000-Q1 - 2020-Q2)

@eurostat.mar_go_qm_uk

Table List

2 tables(11.46 MB)

Gross Weight Of Goods Transported To/from Main Ports - United Kingdom - Quarterly Data - Raw

Gross Weight Of Goods Transported To/from Main Ports - United Kingdom - Quarterly Data - Unpivoted

Gross Weight Of Goods Transported To/from Main Ports - United Kingdom - Quarterly Data - Raw

@eurostat.mar_go_qm_uk.raw

This table contains the original data as downloaded from the Eurostat API, with labels mapped where available.

5.3 MB
124504 rows
88 columns

freq Freq	direct Direct	cargo Cargo	unit Unit	par_mar Par Mar	rep_mar Rep Mar	n_2000_q1 2000-Q1	n_2000_q2 2000-Q2	n_2000_q3 2000-Q3	n_2000_q4 2000-Q4	n_2001_q1 2001-Q1	n_2001_q2 2001-Q2	n_2001_q3 2001-Q3	n_2001_q4 2001-Q4	n_2013_q3 2013-Q3	n_2016_q3 2016-Q3	n_2016_q4 2016-Q4	n_2017_q1 2017-Q1	n_2017_q2 2017-Q2	n_2017_q3 2017-Q3	n_2017_q4 2017-Q4	n_2018_q1 2018-Q1	n_2018_q2 2018-Q2	n_2018_q3 2018-Q3	n_2018_q4 2018-Q4	n_2019_q1 2019-Q1	n_2019_q2 2019-Q2	n_2019_q3 2019-Q3	n_2019_q4 2019-Q4	n_2020_q1 2020-Q1	n_2020_q2 2020-Q2
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	United Arab Emirates	United Kingdom	31
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	United Arab Emirates	United Kingdom: Great Britain and Northern Ireland	31
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	United Arab Emirates	Immingham	28
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	United Arab Emirates	London	3
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	United Arab Emirates	Swansea
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	Antigua and Barbuda	United Kingdom					2
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	Antigua and Barbuda	United Kingdom: Great Britain and Northern Ireland					2
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	Antigua and Barbuda	Immingham					1
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	Antigua and Barbuda	Southampton					1
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	Aggregates extraction areas not elsewhere specified and other activities not elsewhere specified	United Kingdom	2700	3438	2702	2084	1980	3646	4078	3396	6	3	3	93	86	97	86	43	56	74	122	114	308	329	121	94	53


CREATE TABLE raw (
  "freq" VARCHAR,
  "direct" VARCHAR,
  "cargo" VARCHAR,
  "unit" VARCHAR,
  "par_mar" VARCHAR,
  "rep_mar" VARCHAR,
  "n_2000_q1" DOUBLE,
  "n_2000_q2" DOUBLE,
  "n_2000_q3" DOUBLE,
  "n_2000_q4" DOUBLE,
  "n_2001_q1" DOUBLE,
  "n_2001_q2" DOUBLE,
  "n_2001_q3" DOUBLE,
  "n_2001_q4" DOUBLE,
  "n_2002_q1" DOUBLE,
  "n_2002_q2" DOUBLE,
  "n_2002_q3" DOUBLE,
  "n_2002_q4" DOUBLE,
  "n_2003_q1" DOUBLE,
  "n_2003_q2" DOUBLE,
  "n_2003_q3" DOUBLE,
  "n_2003_q4" DOUBLE,
  "n_2004_q1" DOUBLE,
  "n_2004_q2" DOUBLE,
  "n_2004_q3" DOUBLE,
  "n_2004_q4" DOUBLE,
  "n_2005_q1" DOUBLE,
  "n_2005_q2" DOUBLE,
  "n_2005_q3" DOUBLE,
  "n_2005_q4" DOUBLE,
  "n_2006_q1" DOUBLE,
  "n_2006_q2" DOUBLE,
  "n_2006_q3" DOUBLE,
  "n_2006_q4" DOUBLE,
  "n_2007_q1" DOUBLE,
  "n_2007_q2" DOUBLE,
  "n_2007_q3" DOUBLE,
  "n_2007_q4" DOUBLE,
  "n_2008_q1" DOUBLE,
  "n_2008_q2" DOUBLE,
  "n_2008_q3" DOUBLE,
  "n_2008_q4" DOUBLE,
  "n_2009_q1" DOUBLE,
  "n_2009_q2" DOUBLE,
  "n_2009_q3" DOUBLE,
  "n_2009_q4" DOUBLE,
  "n_2010_q1" DOUBLE,
  "n_2010_q2" DOUBLE,
  "n_2010_q3" DOUBLE,
  "n_2010_q4" DOUBLE,
  "n_2011_q1" DOUBLE,
  "n_2011_q2" DOUBLE,
  "n_2011_q3" DOUBLE,
  "n_2011_q4" DOUBLE,
  "n_2012_q1" DOUBLE,
  "n_2012_q2" DOUBLE,
  "n_2012_q3" DOUBLE,
  "n_2012_q4" DOUBLE,
  "n_2013_q1" DOUBLE,
  "n_2013_q2" DOUBLE,
  "n_2013_q3" DOUBLE,
  "n_2013_q4" DOUBLE,
  "n_2014_q1" DOUBLE,
  "n_2014_q2" DOUBLE,
  "n_2014_q3" DOUBLE,
  "n_2014_q4" DOUBLE,
  "n_2015_q1" DOUBLE,
  "n_2015_q2" DOUBLE,
  "n_2015_q3" DOUBLE,
  "n_2015_q4" DOUBLE,
  "n_2016_q1" DOUBLE,
  "n_2016_q2" DOUBLE,
  "n_2016_q3" DOUBLE,
  "n_2016_q4" DOUBLE,
  "n_2017_q1" DOUBLE,
  "n_2017_q2" DOUBLE,
  "n_2017_q3" DOUBLE,
  "n_2017_q4" DOUBLE,
  "n_2018_q1" DOUBLE,
  "n_2018_q2" DOUBLE,
  "n_2018_q3" DOUBLE,
  "n_2018_q4" DOUBLE,
  "n_2019_q1" DOUBLE,
  "n_2019_q2" DOUBLE,
  "n_2019_q3" DOUBLE,
  "n_2019_q4" DOUBLE,
  "n_2020_q1" DOUBLE,
  "n_2020_q2" DOUBLE
);