[tgs00006] Regional gross domestic product (PPS per inhabitant in % of the EU27 (from 2020) average) by NUTS 2 region
Updated by provider on March 18, 2025 (10:00 PM).
GDP (gross domestic product; i.e. the total value of all goods and services produced less the value of goods and services used for intermediate consumption in their production), by NUTS 2 region. Expressed as a percentage of the EU-27 average (based on purchasing power standard (PPS) per inhabitant data).
[freq] Time frequency
[A] Annual
[unit] Unit of measure
[PPS_HAB_EU27_2020] Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average
[geo] Geopolitical entity (reporting)
[AL01] Veri
[AL02] Qender
[AL03] Jug
[AT11] Burgenland
[AT12] Niederösterreich
[AT13] Wien
[AT21] Kärnten
[AT22] Steiermark
[AT31] Oberösterreich
[AT32] Salzburg
[AT33] Tirol
[AT34] Vorarlberg
[BE10] Région de Bruxelles-Capitale/Brussels Hoofdstedelijk Gewest
[BE21] Prov. Antwerpen
[BE22] Prov. Limburg (BE)
[BE23] Prov. Oost-Vlaanderen
[BE24] Prov. Vlaams-Brabant
[BE25] Prov. West-Vlaanderen
[BE31] Prov. Brabant wallon
[BE32] Prov. Hainaut
[BE33] Prov. Liège
[BE34] Prov. Luxembourg (BE)
[BE35] Prov. Namur
[BG31] Severozapaden
[BG32] Severen tsentralen
[BG33] Severoiztochen
[BG34] Yugoiztochen
[BG41] Yugozapaden
[BG42] Yuzhen tsentralen
[CH01] Région lémanique
[CH02] Espace Mittelland
[CH03] Nordwestschweiz
[CH04] Zürich
[CH05] Ostschweiz
[CH06] Zentralschweiz
[CH07] Ticino
[CY00] Kýpros
[CZ01] Praha
[CZ02] Střední Čechy
[CZ03] Jihozápad
[CZ04] Severozápad
[CZ05] Severovýchod
[CZ06] Jihovýchod
[CZ07] Střední Morava
[CZ08] Moravskoslezsko
[DE11] Stuttgart
[DE12] Karlsruhe
[DE13] Freiburg
[DE14] Tübingen
[DE21] Oberbayern
[DE22] Niederbayern
[DE23] Oberpfalz
[DE24] Oberfranken
[DE25] Mittelfranken
[DE26] Unterfranken
[DE27] Schwaben
[DE30] Berlin
[DE40] Brandenburg
[DE50] Bremen
[DE60] Hamburg
[DE71] Darmstadt
[DE72] Gießen
[DE73] Kassel
[DE80] Mecklenburg-Vorpommern
[DE91] Braunschweig
[DE92] Hannover
[DE93] Lüneburg
[DE94] Weser-Ems
[DEA1] Düsseldorf
[DEA2] Köln
[DEA3] Münster
[DEA4] Detmold
[DEA5] Arnsberg
[DEB1] Koblenz
[DEB2] Trier
[DEB3] Rheinhessen-Pfalz
[DEC0] Saarland
[DED2] Dresden
[DED4] Chemnitz
[DED5] Leipzig
[DEE0] Sachsen-Anhalt
[DEF0] Schleswig-Holstein
[DEG0] Thüringen
[DK01] Hovedstaden
[DK02] Sjælland
[DK03] Syddanmark
[DK04] Midtjylland
[DK05] Nordjylland
[EE00] Eesti
[EL30] Attiki
[EL41] Voreio Aigaio
[EL42] Notio Aigaio
[EL43] Kriti
[EL51] Anatoliki Makedonia, Thraki
[EL52] Kentriki Makedonia
[EL53] Dytiki Makedonia
[EL54] Ipeiros
[EL61] Thessalia
[EL62] Ionia Nisia
[EL63] Dytiki Elláda
[EL64] Sterea Elláda
[EL65] Peloponnisos
[ES11] Galicia
[ES12] Principado de Asturias
[ES13] Cantabria
[ES21] País Vasco
[ES22] Comunidad Foral de Navarra
[ES23] La Rioja
[ES24] Aragón
[ES30] Comunidad de Madrid
[ES41] Castilla y León
[ES42] Castilla-La Mancha
[ES43] Extremadura
[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
[FI20] Åland
[FR10] Ile de France
[FRB0] Centre — Val de Loire
[FRC1] Bourgogne
[FRC2] Franche-Comté
[FRD1] Basse-Normandie
[FRD2] Haute-Normandie
[FRE1] Nord-Pas de Calais
[FRE2] Picardie
[FRF1] Alsace
[FRF2] Champagne-Ardenne
[FRF3] Lorraine
[FRG0] Pays de la Loire
[FRH0] Bretagne
[FRI1] Aquitaine
[FRI2] Limousin
[FRI3] Poitou-Charentes
[FRJ1] Languedoc-Roussillon
[FRJ2] Midi-Pyrénées
[FRK1] Auvergne
[FRK2] Rhône-Alpes
[FRL0] Provence-Alpes-Côte d’Azur
[FRM0] Corse
[FRY1] Guadeloupe
[FRY2] Martinique
[FRY3] Guyane
[FRY4] La Réunion
[FRY5] Mayotte
[HR02] Panonska Hrvatska
[HR03] Jadranska Hrvatska
[HR05] Grad Zagreb
[HR06] Sjeverna Hrvatska
[HU11] Budapest
[HU12] Pest
[HU21] Közép-Dunántúl
[HU22] Nyugat-Dunántúl
[HU23] Dél-Dunántúl
[HU31] Észak-Magyarország
[HU32] Észak-Alföld
[HU33] Dél-Alföld
[IE04] Northern and Western
[IE05] Southern
[IE06] Eastern and Midland
[ITC1] Piemonte
[ITC2] Valle d’Aosta/Vallée d’Aoste
[ITC3] Liguria
[ITC4] Lombardia
[ITF1] Abruzzo
[ITF2] Molise
[ITF3] Campania
[ITF4] Puglia
[ITF5] Basilicata
[ITF6] Calabria
[ITG1] Sicilia
[ITG2] Sardegna
[ITH1] Provincia Autonoma di Bolzano/Bozen
[ITH2] Provincia Autonoma di Trento
[ITH3] Veneto
[ITH4] Friuli-Venezia Giulia
[ITH5] Emilia-Romagna
[ITI1] Toscana
[ITI2] Umbria
[ITI3] Marche
[ITI4] Lazio
[LT01] Sostinės regionas
[LT02] Vidurio ir vakarų Lietuvos regionas
[LU00] Luxembourg
[LV00] Latvija
[ME00] Crna Gora
[MK00] Severna Makedonija
[MT00] Malta
[NL11] Groningen
[NL12] Friesland (NL)
[NL13] Drenthe
[NL21] Overijssel
[NL22] Gelderland
[NL23] Flevoland
[NL32] Noord-Holland
[NL34] Zeeland
[NL35] Utrecht
[NL36] Zuid-Holland
[NL41] Noord-Brabant
[NL42] Limburg (NL)
[NO02] Innlandet
[NO06] Trøndelag
[NO07] Nord-Norge
[NO08] Oslo og Viken
[NO09] Agder og Sør-Østlandet
[NO0A] Vestlandet
[PL21] Małopolskie
[PL22] Śląskie
[PL41] Wielkopolskie
[PL42] Zachodniopomorskie
[PL43] Lubuskie
[PL51] Dolnośląskie
[PL52] Opolskie
[PL61] Kujawsko-pomorskie
[PL62] Warmińsko-mazurskie
[PL63] Pomorskie
[PL71] Łódzkie
[PL72] Świętokrzyskie
[PL81] Lubelskie
[PL82] Podkarpackie
[PL84] Podlaskie
[PL91] Warszawski stołeczny
[PL92] Mazowiecki regionalny
[PT11] Norte
[PT15] Algarve
[PT19] Centro (PT)
[PT1A] Grande Lisboa
[PT1B] Península de Setúbal
[PT1C] Alentejo
[PT1D] Oeste e Vale do Tejo
[PT20] Região Autónoma dos Açores
[PT30] Região Autónoma da Madeira
[RO11] Nord-Vest
[RO12] Centru
[RO21] Nord-Est
[RO22] Sud-Est
[RO31] Sud-Muntenia
[RO32] Bucureşti-Ilfov
[RO41] Sud-Vest Oltenia
[RO42] Vest
[RS11] Beogradski region
[RS12] Region Vojvodine
[RS21] Region Sumadije i Zapadne Srbije
[RS22] Region Juzne i Istocne Srbije
[SE11] Stockholm
[SE12] Östra Mellansverige
[SE21] Småland med öarna
[SE22] Sydsverige
[SE23] Västsverige
[SE31] Norra Mellansverige
[SE32] Mellersta Norrland
[SE33] Övre Norrland
[SI03] Vzhodna Slovenija
[SI04] Zahodna Slovenija
[SK01] Bratislavský kraj
[SK02] Západné Slovensko
[SK03] Stredné Slovensko
[SK04] Východné Slovensko
[TR10] İstanbul
[TR21] Tekirdağ, Edirne, Kırklareli
[TR22] Balıkesir, Çanakkale
[TR31] İzmir
[TR32] Aydın, Denizli, Muğla
[TR33] Manisa, Afyonkarahisar, Kütahya, Uşak
[TR41] Bursa, Eskişehir, Bilecik
[TR42] Kocaeli, Sakarya, Düzce, Bolu, Yalova
[TR51] Ankara
[TR52] Konya, Karaman
[TR61] Antalya, Isparta, Burdur
[TR62] Adana, Mersin
[TR63] Hatay, Kahramanmaraş, Osmaniye
[TR71] Kırıkkale, Aksaray, Niğde, Nevşehir, Kırşehir
[TR72] Kayseri, Sivas, Yozgat
[TR81] Zonguldak, Karabük, Bartın
[TR82] Kastamonu, Çankırı, Sinop
[TR83] Samsun, Tokat, Çorum, Amasya
[TR90] Trabzon, Ordu, Giresun, Rize, Artvin, Gümüşhane
[TRA1] Erzurum, Erzincan, Bayburt
[TRA2] Ağrı, Kars, Iğdır, Ardahan
[TRB1] Malatya, Elazığ, Bingöl, Tunceli
[TRB2] Van, Muş, Bitlis, Hakkari
[TRC1] Gaziantep, Adıyaman, Kilis
[TRC2] Şanlıurfa, Diyarbakır
[TRC3] Mardin, Batman, Şırnak, Siirt
Search filters
Time frequency [freq] (1)
Unit of measure [unit] (1)
Geopolitical entity (reporting) [geo] (292)
This dataset has 292 series:
[A.PPS_HAB_EU27_2020.AL01] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Veri
- from
- 2012=24
- to
- 2021=25
- min:
- 24
- max:
- 25
- avg:
- 24.4
- σ:
- 0.49
[A.PPS_HAB_EU27_2020.AL02] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Qender
- from
- 2012=36
- to
- 2021=38
- min:
- 34
- max:
- 38
- avg:
- 36.2
- σ:
- 1.077
[A.PPS_HAB_EU27_2020.AL03] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Jug
- from
- 2012=29
- to
- 2021=28
- min:
- 27
- max:
- 30
- avg:
- 27.9
- σ:
- 0.943
[A.PPS_HAB_EU27_2020.AT11] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Burgenland
- from
- 2012=89
- to
- 2023=84
- min:
- 84
- max:
- 91
- avg:
- 87.75
- σ:
- 2.165
[A.PPS_HAB_EU27_2020.AT12] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Niederösterreich
- from
- 2012=108
- to
- 2023=98
- min:
- 98
- max:
- 108
- avg:
- 104.333
- σ:
- 3.3
[A.PPS_HAB_EU27_2020.AT13] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Wien
- from
- 2012=164
- to
- 2023=138
- min:
- 138
- max:
- 164
- avg:
- 149.75
- σ:
- 8.278
[A.PPS_HAB_EU27_2020.AT21] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Kärnten
- from
- 2012=113
- to
- 2023=108
- min:
- 107
- max:
- 113
- avg:
- 109.667
- σ:
- 1.929
[A.PPS_HAB_EU27_2020.AT22] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Steiermark
- from
- 2012=120
- to
- 2023=112
- min:
- 111
- max:
- 120
- avg:
- 115.417
- σ:
- 2.532
[A.PPS_HAB_EU27_2020.AT31] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Oberösterreich
- from
- 2012=134
- to
- 2023=124
- min:
- 124
- max:
- 135
- avg:
- 130.333
- σ:
- 3.274
[A.PPS_HAB_EU27_2020.AT32] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Salzburg
- from
- 2012=155
- to
- 2023=147
- min:
- 140
- max:
- 155
- avg:
- 148.083
- σ:
- 3.707
Series code | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.PPS_HAB_EU27_2020.AL01] | 24 | 24 | 24 | 25 | 25 | 24 | 24 | 25 | 24 | 25 | - | - |
[A.PPS_HAB_EU27_2020.AL02] | 36 | 34 | 36 | 37 | 35 | 36 | 37 | 36 | 37 | 38 | - | - |
[A.PPS_HAB_EU27_2020.AL03] | 29 | 28 | 30 | 28 | 27 | 27 | 27 | 27 | 28 | 28 | - | - |
[A.PPS_HAB_EU27_2020.AT11] | 89 | 90 | 89 | 91 | 90 | 89 | 88 | 86 | 86 | 85 | 86 | 84 |
[A.PPS_HAB_EU27_2020.AT12] | 108 | 108 | 107 | 107 | 107 | 105 | 105 | 105 | 101 | 100 | 101 | 98 |
[A.PPS_HAB_EU27_2020.AT13] | 164 | 162 | 158 | 155 | 154 | 147 | 148 | 144 | 144 | 143 | 140 | 138 |
[A.PPS_HAB_EU27_2020.AT21] | 113 | 112 | 113 | 110 | 109 | 108 | 109 | 108 | 109 | 107 | 110 | 108 |
[A.PPS_HAB_EU27_2020.AT22] | 120 | 118 | 118 | 116 | 117 | 116 | 115 | 115 | 113 | 111 | 114 | 112 |
[A.PPS_HAB_EU27_2020.AT31] | 134 | 135 | 134 | 133 | 132 | 130 | 131 | 129 | 128 | 127 | 127 | 124 |
[A.PPS_HAB_EU27_2020.AT32] | 155 | 152 | 149 | 150 | 151 | 147 | 147 | 145 | 145 | 140 | 149 | 147 |
Loading chart
Search filters
Time frequency [freq] (1)
Unit of measure [unit] (1)
Geopolitical entity (reporting) [geo] (292)
This dataset has 292 series:
[A.PPS_HAB_EU27_2020.AL01] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Veri
- from
- 2012=24
- to
- 2021=25
- min:
- 24
- max:
- 25
- avg:
- 24.4
- σ:
- 0.49
[A.PPS_HAB_EU27_2020.AL02] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Qender
- from
- 2012=36
- to
- 2021=38
- min:
- 34
- max:
- 38
- avg:
- 36.2
- σ:
- 1.077
[A.PPS_HAB_EU27_2020.AL03] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Jug
- from
- 2012=29
- to
- 2021=28
- min:
- 27
- max:
- 30
- avg:
- 27.9
- σ:
- 0.943
[A.PPS_HAB_EU27_2020.AT11] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Burgenland
- from
- 2012=89
- to
- 2023=84
- min:
- 84
- max:
- 91
- avg:
- 87.75
- σ:
- 2.165
[A.PPS_HAB_EU27_2020.AT12] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Niederösterreich
- from
- 2012=108
- to
- 2023=98
- min:
- 98
- max:
- 108
- avg:
- 104.333
- σ:
- 3.3
[A.PPS_HAB_EU27_2020.AT13] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Wien
- from
- 2012=164
- to
- 2023=138
- min:
- 138
- max:
- 164
- avg:
- 149.75
- σ:
- 8.278
[A.PPS_HAB_EU27_2020.AT21] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Kärnten
- from
- 2012=113
- to
- 2023=108
- min:
- 107
- max:
- 113
- avg:
- 109.667
- σ:
- 1.929
[A.PPS_HAB_EU27_2020.AT22] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Steiermark
- from
- 2012=120
- to
- 2023=112
- min:
- 111
- max:
- 120
- avg:
- 115.417
- σ:
- 2.532
[A.PPS_HAB_EU27_2020.AT31] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Oberösterreich
- from
- 2012=134
- to
- 2023=124
- min:
- 124
- max:
- 135
- avg:
- 130.333
- σ:
- 3.274
[A.PPS_HAB_EU27_2020.AT32] Annual – Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average – Salzburg
- from
- 2012=155
- to
- 2023=147
- min:
- 140
- max:
- 155
- avg:
- 148.083
- σ:
- 3.707
Series code | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.PPS_HAB_EU27_2020.AL01] | 24 | 24 | 24 | 25 | 25 | 24 | 24 | 25 | 24 | 25 | - | - |
[A.PPS_HAB_EU27_2020.AL02] | 36 | 34 | 36 | 37 | 35 | 36 | 37 | 36 | 37 | 38 | - | - |
[A.PPS_HAB_EU27_2020.AL03] | 29 | 28 | 30 | 28 | 27 | 27 | 27 | 27 | 28 | 28 | - | - |
[A.PPS_HAB_EU27_2020.AT11] | 89 | 90 | 89 | 91 | 90 | 89 | 88 | 86 | 86 | 85 | 86 | 84 |
[A.PPS_HAB_EU27_2020.AT12] | 108 | 108 | 107 | 107 | 107 | 105 | 105 | 105 | 101 | 100 | 101 | 98 |
[A.PPS_HAB_EU27_2020.AT13] | 164 | 162 | 158 | 155 | 154 | 147 | 148 | 144 | 144 | 143 | 140 | 138 |
[A.PPS_HAB_EU27_2020.AT21] | 113 | 112 | 113 | 110 | 109 | 108 | 109 | 108 | 109 | 107 | 110 | 108 |
[A.PPS_HAB_EU27_2020.AT22] | 120 | 118 | 118 | 116 | 117 | 116 | 115 | 115 | 113 | 111 | 114 | 112 |
[A.PPS_HAB_EU27_2020.AT31] | 134 | 135 | 134 | 133 | 132 | 130 | 131 | 129 | 128 | 127 | 127 | 124 |
[A.PPS_HAB_EU27_2020.AT32] | 155 | 152 | 149 | 150 | 151 | 147 | 147 | 145 | 145 | 140 | 149 | 147 |
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