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

Eurostat code: mar_go_qm_lt · (2004-Q1 - 2024-Q3)

@eurostat.mar_go_qm_lt

Table List

2 tables(779.59 KB)

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

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

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

@eurostat.mar_go_qm_lt.raw

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

430.24 KB
9902 rows
89 columns

freq Freq	direct Direct	cargo Cargo	unit Unit	par_mar Par Mar	rep_mar Rep Mar	n_2004_q1 2004-Q1	n_2004_q2 2004-Q2	n_2004_q3 2004-Q3	n_2004_q4 2004-Q4	n_2005_q1 2005-Q1	n_2005_q2 2005-Q2	n_2005_q3 2005-Q3	n_2005_q4 2005-Q4	n_2006_q1 2006-Q1	n_2006_q2 2006-Q2	n_2006_q3 2006-Q3	n_2006_q4 2006-Q4	n_2007_q1 2007-Q1	n_2007_q2 2007-Q2	n_2007_q3 2007-Q3	n_2007_q4 2007-Q4	n_2008_q1 2008-Q1	n_2008_q2 2008-Q2	n_2008_q3 2008-Q3	n_2008_q4 2008-Q4	n_2009_q1 2009-Q1	n_2009_q2 2009-Q2	n_2009_q3 2009-Q3	n_2009_q4 2009-Q4	n_2010_q1 2010-Q1	n_2010_q2 2010-Q2	n_2010_q3 2010-Q3	n_2010_q4 2010-Q4	n_2011_q1 2011-Q1	n_2011_q2 2011-Q2	n_2011_q3 2011-Q3	n_2011_q4 2011-Q4	n_2012_q1 2012-Q1	n_2012_q2 2012-Q2	n_2012_q3 2012-Q3	n_2012_q4 2012-Q4	n_2013_q1 2013-Q1	n_2013_q2 2013-Q2	n_2014_q1 2014-Q1	n_2014_q3 2014-Q3	n_2014_q4 2014-Q4	n_2015_q1 2015-Q1	n_2015_q3 2015-Q3	n_2015_q4 2015-Q4	n_2016_q1 2016-Q1	n_2016_q2 2016-Q2	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	n_2020_q3 2020-Q3	n_2020_q4 2020-Q4	n_2021_q1 2021-Q1	n_2021_q2 2021-Q2	n_2021_q3 2021-Q3	n_2021_q4 2021-Q4	n_2022_q1 2022-Q1	n_2022_q2 2022-Q2	n_2022_q3 2022-Q3	n_2022_q4 2022-Q4	n_2023_q1 2023-Q1	n_2023_q3 2023-Q3	n_2023_q4 2023-Q4	n_2024_q1 2024-Q1	n_2024_q2 2024-Q2	n_2024_q3 2024-Q3
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	Argentina	Lithuania					22				18				21								23				35				7	49	58	37	20	17	65	92	99	50		22	32			12				90	33	66	65	94	31		65	34	33	31	33	31		30	64	65	68	92	87	32	37	47	28	11	15
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	Argentina	Klaipeda					22				18				21								23				35				7	49	58	37	20	17	65	92	99	50		22	32			12				90	33	66	65	94	31		65	34	33	31	33	31		30	64	65	68	92	87	32	37	47	28	11	15
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	Belgium	Lithuania	11	6	10	9	2	3	11	4	5	7	7	5	2	8	4	5	2	2	5	2	2			5	10			2	10					25			53			6						24	29	30	33	3	28			25	57	16	3	26	11	14	3		3	9	7		13	3	10	16	30	6	10	11		10	33	14
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	Belgium	Klaipeda	11	6	10	9	2	3	11	4	5	7	7	5	2	8	4	5	2	2	5	2	2			5	10			2	10					25			53			6						24	29	30	33	3	28			25	57	16	3	26	11	14	3		3	9	7		13	3	10	16	30	6	10	11		10	33	14
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	Brazil	Lithuania	300	32	25	32	203	141	172	41	159	101	129	59			41	61	144	42	74	39	39	126	10	7	150	77	29	61	155	143	38			103	74		44	32	112		2	33	19		33	32			62							3
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	Brazil	Klaipeda	300	32	25	32	203	141	172	41	159	101	129	59			41	61	144	42	74	39	39	126	10	7	150	77	29	61	155	143	38			103	74		44	32	112		2	33	19		33	32			62							3
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	Bahamas	Lithuania																																							2
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	Bahamas	Klaipeda																																							2
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	China (except Hong Kong)	Lithuania																																																	33			66																				30	33		55
Quarterly	Inwards	Dry bulk goods	Thousand tonnes	China (except Hong Kong)	Klaipeda																																																	33			66																				30	33		55


CREATE TABLE raw (
  "freq" VARCHAR,
  "direct" VARCHAR,
  "cargo" VARCHAR,
  "unit" VARCHAR,
  "par_mar" VARCHAR,
  "rep_mar" VARCHAR,
  "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,
  "n_2020_q3" DOUBLE,
  "n_2020_q4" DOUBLE,
  "n_2021_q1" DOUBLE,
  "n_2021_q2" DOUBLE,
  "n_2021_q3" DOUBLE,
  "n_2021_q4" DOUBLE,
  "n_2022_q1" DOUBLE,
  "n_2022_q2" DOUBLE,
  "n_2022_q3" DOUBLE,
  "n_2022_q4" DOUBLE,
  "n_2023_q1" DOUBLE,
  "n_2023_q2" DOUBLE,
  "n_2023_q3" DOUBLE,
  "n_2023_q4" DOUBLE,
  "n_2024_q1" DOUBLE,
  "n_2024_q2" DOUBLE,
  "n_2024_q3" DOUBLE
);