[tgs00076] Maritime transport of freight by NUTS 2 regions
Updated by provider on July 25, 2022 (9:05 PM).
The maritime transport regional data have been calculated using data collected at the port level in the frame of Council Directive 2009/42/EC (6.5.2009). They are aggregated at regional level (NUTS 1 and NUTS 2) and also at national level (NUTS0), excluding double counting within each region.
[FREQ] Frequency
- [A] Annual
[tra_meas] Traffic and transport measurement
- [FR_LD_NLD] Freight loaded and unloaded
[unit] Unit of measure
- [THS_T] Thousand tonnes
[geo] Geopolitical entity (reporting)
- [BE21] Prov. Antwerpen
- [BE23] Prov. Oost-Vlaanderen
- [BE25] Prov. West-Vlaanderen
- [BG33] Severoiztochen
- [BG34] Yugoiztochen
- [CY00] Kypros
- [DE11] Stuttgart
- [DE30] Berlin
- [DE50] Bremen
- [DE60] Hamburg
- [DE71] Darmstadt
- [DE80] Mecklenburg-Vorpommern
- [DE91] Braunschweig
- [DE92] Hannover
- [DE93] Lüneburg
- [DE94] Weser-Ems
- [DEA1] Düsseldorf
- [DEA2] Köln
- [DEA3] Münster
- [DEA4] Detmold
- [DEA5] Arnsberg
- [DEB1] Koblenz
- [DEE0] Sachsen-Anhalt
- [DEF0] Schleswig-Holstein
- [DEZZ] Extra-Regio NUTS 2
- [DK01] Hovedstaden
- [DK02] Sjælland
- [DK03] Syddanmark
- [DK04] Midtjylland
- [DK05] Nordjylland
- [EE00] Eesti
- [EL30] Attiki
- [EL42] Notio Aigaio
- [EL43] Kriti
- [EL51] Anatoliki Makedonia, Thraki
- [EL52] Kentriki Makedonia
- [EL54] Ipeiros
- [EL61] Thessalia
- [EL62] Ionia Nisia
- [EL63] Dytiki Ellada
- [EL64] Sterea Ellada
- [EL65] Peloponnisos
- [ES11] Galicia
- [ES12] Principado de Asturias
- [ES13] Cantabria
- [ES21] País Vasco
- [ES51] Cataluña
- [ES52] Comunitat Valenciana
- [ES53] Illes Balears
- [ES61] Andalucía
- [ES62] Región de Murcia
- [ES63] Ciudad de Ceuta
- [ES64] Ciudad de Melilla
- [ES70] Canarias
- [FI19] Länsi-Suomi
- [FI1B] Helsinki-Uusimaa
- [FI1C] Etelä-Suomi
- [FI1D] Pohjois- ja Itä-Suomi
- [FIZZ] Extra-Regio NUTS 2
- [FR23] Haute-Normandie (NUTS 2013)
- [FR25] Basse-Normandie (NUTS 2013)
- [FR30] Nord-Pas-de-Calais (NUTS 2013)
- [FR51] Pays de la Loire (NUTS 2013)
- [FR52] Bretagne (NUTS 2013)
- [FR53] Poitou-Charentes (NUTS 2013)
- [FR61] Aquitaine (NUTS 2013)
- [FR81] Languedoc-Roussillon (NUTS 2013)
- [FR82] Provence-Alpes-Côte d'Azur (NUTS 2013)
- [FR83] Corse (NUTS 2013)
- [FRA1] Guadeloupe (NUTS 2013)
- [FRA2] Martinique (NUTS 2013)
- [FRA4] La Réunion (NUTS 2013)
- [FRD1] Basse-Normandie
- [FRD2] Haute-Normandie
- [FRE1] Nord-Pas-de-Calais
- [FRG0] Pays-de-la-Loire
- [FRH0] Bretagne
- [FRI1] Aquitaine
- [FRI3] Poitou-Charentes
- [FRJ1] Languedoc-Roussillon
- [FRL0] Provence-Alpes-Côte d'Azur
- [FRM0] Corse
- [FRY1] Guadeloupe
- [FRY2] Martinique
- [FRY3] Guyane
- [FRY4] La Réunion
- [HR03] Jadranska Hrvatska
- [IE01] Border, Midland and Western (NUTS 2013)
- [IE02] Southern and Eastern (NUTS 2013)
- [IE04] Northern and Western
- [IE05] Southern
- [IE06] Eastern and Midland
- [ITC3] Liguria
- [ITF1] Abruzzo
- [ITF3] Campania
- [ITF4] Puglia
- [ITF6] Calabria
- [ITG1] Sicilia
- [ITG2] Sardegna
- [ITH3] Veneto
- [ITH4] Friuli-Venezia Giulia
- [ITH5] Emilia-Romagna
- [ITI1] Toscana
- [ITI3] Marche
- [ITI4] Lazio
- [ITZZ] Extra-Regio NUTS 2
- [LT00] Lietuva (NUTS 2013)
- [LT02] Vidurio ir vakaru Lietuvos regionas
- [LV00] Latvija
- [MT00] Malta
- [NL11] Groningen
- [NL12] Friesland (NL)
- [NL32] Noord-Holland
- [NL33] Zuid-Holland
- [NL34] Zeeland
- [NL41] Noord-Brabant
- [NLZZ] Extra-Regio NUTS 2
- [NO01] Oslo og Akershus (statistical region 2016)
- [NO03] Sør-Østlandet (statistical region 2016)
- [NO04] Agder og Rogaland (statistical region 2016)
- [NO05] Vestlandet (statistical region 2016)
- [NO06] Trøndelag
- [NO07] Nord-Norge
- [NOZZ] Extra-Regio level 2
- [PL42] Zachodniopomorskie
- [PL63] Pomorskie
- [PT11] Norte
- [PT15] Algarve
- [PT16] Centro (PT)
- [PT17] Área Metropolitana de Lisboa
- [PT18] Alentejo
- [PT20] Região Autónoma dos Açores (PT)
- [PT30] Região Autónoma da Madeira (PT)
- [RO22] Sud-Est
- [SE11] Stockholm
- [SE12] Östra Mellansverige
- [SE21] Småland med öarna
- [SE22] Sydsverige
- [SE23] Västsverige
- [SE31] Norra Mellansverige
- [SE32] Mellersta Norrland
- [SE33] Övre Norrland
- [SEZZ] Extra-Regio NUTS 2
- [SI04] Zahodna Slovenija
- [TR10] Istanbul
- [TR21] Tekirdag, Edirne, Kirklareli
- [TR22] Balikesir, Çanakkale
- [TR31] Izmir
- [TR32] Aydin, Denizli, Mugla
- [TR41] Bursa, Eskisehir, Bilecik
- [TR42] Kocaeli, Sakarya, Düzce, Bolu, Yalova
- [TR61] Antalya, Isparta, Burdur
- [TR62] Adana, Mersin
- [TR63] Hatay, Kahramanmaras, Osmaniye
- [TR81] Zonguldak, Karabük, Bartin
- [TR82] Kastamonu, Çankiri, Sinop
- [TR83] Samsun, Tokat, Çorum, Amasya
- [TR90] Trabzon, Ordu, Giresun, Rize, Artvin, Gümüshane
- [TRZZ] Extra-Regio level 2
- [UKC1] Tees Valley and Durham
- [UKC2] Northumberland and Tyne and Wear
- [UKD3] Greater Manchester
- [UKD4] Lancashire
- [UKD7] Merseyside
- [UKE1] East Yorkshire and Northern Lincolnshire
- [UKF3] Lincolnshire
- [UKH1] East Anglia
- [UKH3] Essex
- [UKI1] Inner London (NUTS 2010)
- [UKI3] Inner London - West
- [UKJ2] Surrey, East and West Sussex
- [UKJ3] Hampshire and Isle of Wight
- [UKJ4] Kent
- [UKK1] Gloucestershire, Wiltshire and Bristol/Bath area
- [UKK2] Dorset and Somerset
- [UKK3] Cornwall and Isles of Scilly
- [UKK4] Devon
- [UKL1] West Wales and The Valleys
- [UKL2] East Wales
- [UKM2] Eastern Scotland (NUTS 2013)
- [UKM3] South Western Scotland (NUTS 2013)
- [UKM5] North Eastern Scotland
- [UKM6] Highlands and Islands
- [UKM7] Eastern Scotland
- [UKM8] West Central Scotland
- [UKM9] Southern Scotland
- [UKN0] Northern Ireland (UK)
Search filters
Frequency [FREQ] (1)
Traffic and transport measurement [tra_meas] (1)
Unit of measure [unit] (1)
Geopolitical entity (reporting) [geo] (187)
This dataset has 187 series:
[A.FR_LD_NLD.THS_T.BE21] Annual – Freight loaded and unloaded – Thousand tonnes – Prov. Antwerpen
- from
- 2009=142,116
- to
- 2020=206,319
- min:
- 142,116
- max:
- 214,030
- avg:
- 184,164.167
- σ:
- 22,055.344
- from
- 2009=20,579
- to
- 2020=29,427
- min:
- 20,579
- max:
- 33,711
- avg:
- 28,541.167
- σ:
- 3,693.557
- from
- 2009=39,269
- to
- 2020=32,929
- min:
- 22,915
- max:
- 39,269
- avg:
- 30,175.833
- σ:
- 5,343.716
- from
- 2009=8,556
- to
- 2020=10,537
- min:
- 8,556
- max:
- 12,990
- avg:
- 11,226
- σ:
- 1,082.846
- from
- 2009=13,337
- to
- 2020=14,721
- min:
- 12,822
- max:
- 19,035
- avg:
- 15,694.083
- σ:
- 1,898.372
- from
- 2009=6,770
- to
- 2020=7,473
- min:
- 6,237
- max:
- 10,259
- avg:
- 7,356.083
- σ:
- 971.181
- from
- 2017=0
- to
- 2017=0
- min:
- 0
- max:
- 0
- avg:
- 0
- σ:
- 0
- from
- 2013=1
- to
- 2017=24
- min:
- 1
- max:
- 24
- avg:
- 6.4
- σ:
- 8.868
- from
- 2009=53,941
- to
- 2020=56,971
- min:
- 53,941
- max:
- 71,820
- avg:
- 63,050.167
- σ:
- 4,888.498
- from
- 2009=94,762
- to
- 2020=109,175
- min:
- 94,762
- max:
- 126,004
- avg:
- 114,747.083
- σ:
- 8,103.378
Series code | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.FR_LD_NLD.THS_T.BE21] | 142116 | 160016 | 168547 | 164547 | 171984 | 180401 | 190107 | 198691 | 201202 | 212010 | 214030 | 206319 |
[A.FR_LD_NLD.THS_T.BE23] | 20579 | 27572 | 27409 | 25972 | 25924 | 28788 | 26143 | 29963 | 33711 | 33670 | 33336 | 29427 |
[A.FR_LD_NLD.THS_T.BE25] | 39269 | 38771 | 35029 | 31974 | 28802 | 28170 | 24931 | 24370 | 22915 | 24534 | 30416 | 32929 |
[A.FR_LD_NLD.THS_T.BG33] | 8556 | 10125 | 11665 | 11144 | 12990 | 11577 | 11090 | 11562 | 12297 | 11207 | 11962 | 10537 |
[A.FR_LD_NLD.THS_T.BG34] | 13337 | 12822 | 13520 | 14868 | 15851 | 15658 | 16076 | 17123 | 18656 | 16662 | 19035 | 14721 |
[A.FR_LD_NLD.THS_T.CY00] | 6770 | 6954 | 6564 | 6237 | 7172 | 7186 | 7422 | 10259 | 7860 | 6948 | 7428 | 7473 |
[A.FR_LD_NLD.THS_T.DE11] | - | - | - | - | - | - | - | - | 0 | - | - | - |
[A.FR_LD_NLD.THS_T.DE30] | - | - | - | - | 1 | 1 | 2 | 4 | 24 | - | - | - |
[A.FR_LD_NLD.THS_T.DE50] | 53941 | 59107 | 68782 | 71820 | 67059 | 66442 | 62465 | 64468 | 62465 | 63371 | 59711 | 56971 |
[A.FR_LD_NLD.THS_T.DE60] | 94762 | 104520 | 114370 | 113531 | 120568 | 126004 | 120172 | 120323 | 118761 | 117627 | 117152 | 109175 |
Showing results 1 - 10 / 187