[AEI_EF_LS] Share of main livestock types in total livestock units (LSU) by NUTS 2 region
Updated by provider on January 10, 2024 (10:00 AM).
The share of major livestock types (equidae, cattle, sheep, goats, pigs and poultry) in total livestock population expressed in livestock units (LSU); based on Farm Structure Survey data.
[freq] Time frequency
[A] Annual
[animals] Live animals
[A1000] Live horses, asses, mules and hinnies
[A2000] Live bovine animals
[A3100] Live swine, domestic species
[A4100] Live sheep
[A4200] Live goats
[A5000] Live poultry
[unit] Unit of measure
[PC_LSU] Percentage of total livestock units
[geo] Geopolitical entity (reporting)
[AT] Austria
[AT11] Burgenland
[AT12] Niederösterreich
[AT13] Wien
[AT21] Kärnten
[AT22] Steiermark
[AT31] Oberösterreich
[AT32] Salzburg
[AT33] Tirol
[AT34] Vorarlberg
[BE] Belgium
[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
[BG] Bulgaria
[BG31] Severozapaden
[BG32] Severen tsentralen
[BG33] Severoiztochen
[BG34] Yugoiztochen
[BG41] Yugozapaden
[BG42] Yuzhen tsentralen
[CH] Switzerland
[CH01] Région lémanique
[CH02] Espace Mittelland
[CH03] Nordwestschweiz
[CH04] Zürich
[CH05] Ostschweiz
[CH06] Zentralschweiz
[CH07] Ticino
[CY] Cyprus
[CY00] Kýpros
[CZ] Czechia
[CZ01] Praha
[CZ02] Střední Čechy
[CZ03] Jihozápad
[CZ04] Severozápad
[CZ05] Severovýchod
[CZ06] Jihovýchod
[CZ07] Střední Morava
[CZ08] Moravskoslezsko
[DE] Germany
[DE1] Baden-Württemberg
[DE11] Stuttgart
[DE12] Karlsruhe
[DE13] Freiburg
[DE14] Tübingen
[DE2] Bayern
[DE21] Oberbayern
[DE22] Niederbayern
[DE23] Oberpfalz
[DE24] Oberfranken
[DE25] Mittelfranken
[DE26] Unterfranken
[DE27] Schwaben
[DE3] Berlin
[DE30] Berlin
[DE3_5_6] Berlin, Bremen, Hamburg
[DE4] Brandenburg
[DE40] Brandenburg
[DE5] Bremen
[DE50] Bremen
[DE6] Hamburg
[DE60] Hamburg
[DE7] Hessen
[DE71] Darmstadt
[DE72] Gießen
[DE73] Kassel
[DE8] Mecklenburg-Vorpommern
[DE80] Mecklenburg-Vorpommern
[DE9] Niedersachsen
[DE91] Braunschweig
[DE92] Hannover
[DE93] Lüneburg
[DE94] Weser-Ems
[DEA] Nordrhein-Westfalen
[DEA1] Düsseldorf
[DEA2] Köln
[DEA3] Münster
[DEA4] Detmold
[DEA5] Arnsberg
[DEB] Rheinland-Pfalz
[DEB1] Koblenz
[DEB2] Trier
[DEB3] Rheinhessen-Pfalz
[DEC] Saarland
[DEC0] Saarland
[DED] Sachsen
[DED2] Dresden
[DED4] Chemnitz
[DED5] Leipzig
[DEE] Sachsen-Anhalt
[DEE0] Sachsen-Anhalt
[DEF] Schleswig-Holstein
[DEF0] Schleswig-Holstein
[DEG] Thüringen
[DEG0] Thüringen
[DK] Denmark
[DK01] Hovedstaden
[DK02] Sjælland
[DK03] Syddanmark
[DK04] Midtjylland
[DK05] Nordjylland
[EE] Estonia
[EE00] Eesti
[EL] Greece
[EL11] Anatoliki Makedonia, Thraki (NUTS 2010)
[EL12] Kentriki Makedonia (NUTS 2010)
[EL13] Dytiki Makedonia (NUTS 2010)
[EL14] Thessalia (NUTS 2010)
[EL21] Ipeiros (NUTS 2010)
[EL22] Ionia Nisia (NUTS 2010)
[EL23] Dytiki Ellada (NUTS 2010)
[EL24] Sterea Ellada (NUTS 2010)
[EL25] Peloponnisos (NUTS 2010)
[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
[ES] Spain
[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
[FI] Finland
[FI13] Itä-Suomi (NUTS 2006)
[FI18] Etelä-Suomi (NUTS 2006)
[FI19] Länsi-Suomi
[FI1A] Pohjois-Suomi (NUTS 2006)
[FI1B] Helsinki-Uusimaa
[FI1C] Etelä-Suomi
[FI1D] Pohjois- ja Itä-Suomi
[FI20] Åland
[FR] France
[FR10] Ile de France
[FR21] Champagne-Ardenne (NUTS 2013)
[FR22] Picardie (NUTS 2013)
[FR23] Haute-Normandie (NUTS 2013)
[FR24] Centre (FR) (NUTS 2013)
[FR25] Basse-Normandie (NUTS 2013)
[FR26] Bourgogne (NUTS 2013)
[FR30] Nord-Pas-de-Calais (NUTS 2013)
[FR41] Lorraine (NUTS 2013)
[FR42] Alsace (NUTS 2013)
[FR43] Franche-Comté (NUTS 2013)
[FR51] Pays de la Loire (NUTS 2013)
[FR52] Bretagne (NUTS 2013)
[FR53] Poitou-Charentes (NUTS 2013)
[FR61] Aquitaine (NUTS 2013)
[FR62] Midi-Pyrénées (NUTS 2013)
[FR63] Limousin (NUTS 2013)
[FR71] Rhône-Alpes (NUTS 2013)
[FR72] Auvergne (NUTS 2013)
[FR81] Languedoc-Roussillon (NUTS 2013)
[FR82] Provence-Alpes-Côte d'Azur (NUTS 2013)
[FR83] Corse (NUTS 2013)
[FR91] Guadeloupe (NUTS 2010)
[FR92] Martinique (NUTS 2010)
[FR93] Guyane (NUTS 2010)
[FR94] Réunion (NUTS 2010)
[FRA1] Guadeloupe (NUTS 2013)
[FRA2] Martinique (NUTS 2013)
[FRA3] Guyane (NUTS 2013)
[FRA4] La Réunion (NUTS 2013)
[HR] Croatia
[HR03] Jadranska Hrvatska
[HR04] Kontinentalna Hrvatska (NUTS 2016)
[HU] Hungary
[HU10] Közép-Magyarország (NUTS 2013)
[HU21] Közép-Dunántúl
[HU22] Nyugat-Dunántúl
[HU23] Dél-Dunántúl
[HU31] Észak-Magyarország
[HU32] Észak-Alföld
[HU33] Dél-Alföld
[IE] Ireland
[IE01] Border, Midland and Western (NUTS 2013)
[IE02] Southern and Eastern (NUTS 2013)
[IS] Iceland
[IS00] Ísland
[IT] Italy
[ITC1] Piemonte
[ITC2] Valle d’Aosta/Vallée d’Aoste
[ITC3] Liguria
[ITC4] Lombardia
[ITD1] Provincia Autonoma Bolzano/Bozen (NUTS 2006)
[ITD2] Provincia Autonoma Trento (NUTS 2006)
[ITD3] Veneto (NUTS 2006)
[ITD4] Friuli-Venezia Giulia (NUTS 2006)
[ITD5] Emilia-Romagna (NUTS 2006)
[ITE1] Toscana (NUTS 2006)
[ITE2] Umbria (NUTS 2006)
[ITE3] Marche (NUTS 2006)
[ITE4] Lazio (NUTS 2006)
[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
[LT] Lithuania
[LT00] Lietuva (NUTS 2013)
[LU] Luxembourg
[LU00] Luxembourg
[LV] Latvia
[LV00] Latvija
[ME] Montenegro
[ME00] Crna Gora
[MK] North Macedonia
[MK00] Severna Makedonija
[MT] Malta
[MT00] Malta
[NL] Netherlands
[NL11] Groningen
[NL12] Friesland (NL)
[NL13] Drenthe
[NL21] Overijssel
[NL22] Gelderland
[NL23] Flevoland
[NL31] Utrecht (NUTS 2021)
[NL32] Noord-Holland
[NL33] Zuid-Holland (NUTS 2021)
[NL34] Zeeland
[NL41] Noord-Brabant
[NL42] Limburg (NL)
[NO] Norway
[NO01] Oslo og Akershus (statistical region 2016)
[NO02] Innlandet
[NO03] Sør-Østlandet (statistical region 2016)
[NO04] Agder og Rogaland (statistical region 2016)
[NO05] Vestlandet (statistical region 2016)
[NO06] Trøndelag
[NO07] Nord-Norge
[PL] Poland
[PL11] Lódzkie (NUTS 2013)
[PL12] Mazowieckie (NUTS 2013)
[PL21] Małopolskie
[PL22] Śląskie
[PL31] Lubelskie (NUTS 2013)
[PL32] Podkarpackie (NUTS 2013)
[PL33] Swietokrzyskie (NUTS 2013)
[PL34] Podlaskie (NUTS 2013)
[PL41] Wielkopolskie
[PL42] Zachodniopomorskie
[PL43] Lubuskie
[PL51] Dolnośląskie
[PL52] Opolskie
[PL61] Kujawsko-pomorskie
[PL62] Warmińsko-mazurskie
[PL63] Pomorskie
[PT] Portugal
[PT11] Norte
[PT15] Algarve
[PT16] Centro (PT) (NUTS 2021)
[PT17] Área Metropolitana de Lisboa (NUTS 2021)
[PT18] Alentejo (NUTS 2021)
[PT20] Região Autónoma dos Açores
[PT30] Região Autónoma da Madeira
[RO] Romania
[RO11] Nord-Vest
[RO12] Centru
[RO21] Nord-Est
[RO22] Sud-Est
[RO31] Sud-Muntenia
[RO32] Bucureşti-Ilfov
[RO41] Sud-Vest Oltenia
[RO42] Vest
[SE] Sweden
[SE11] Stockholm
[SE12] Östra Mellansverige
[SE21] Småland med öarna
[SE22] Sydsverige
[SE23] Västsverige
[SE31] Norra Mellansverige
[SE32] Mellersta Norrland
[SE33] Övre Norrland
[SI] Slovenia
[SI01] Vzhodna Slovenija (NUTS 2010)
[SI02] Zahodna Slovenija (NUTS 2010)
[SI03] Vzhodna Slovenija
[SI04] Zahodna Slovenija
[SK] Slovakia
[SK01] Bratislavský kraj
[SK02] Západné Slovensko
[SK03] Stredné Slovensko
[SK04] Východné Slovensko
[UK] United Kingdom
[UKC1] Tees Valley and Durham (NUTS 2021)
[UKC2] Northumberland and Tyne and Wear (NUTS 2021)
[UKD1] Cumbria (NUTS 2021)
[UKD2] Cheshire (NUTS 2006)
[UKD3] Greater Manchester (NUTS 2021)
[UKD4] Lancashire (NUTS 2021)
[UKD5] Merseyside (NUTS 2006)
[UKD6] Cheshire (NUTS 2021)
[UKD7] Merseyside (NUTS 2021)
[UKE1] East Yorkshire and Northern Lincolnshire (NUTS 2021)
[UKE2] North Yorkshire (NUTS 2021)
[UKE3] South Yorkshire (NUTS 2021)
[UKE4] West Yorkshire (NUTS 2021)
[UKF1] Derbyshire and Nottinghamshire (NUTS 2021)
[UKF2] Leicestershire, Rutland and Northamptonshire (NUTS 2021)
[UKF3] Lincolnshire (NUTS 2021)
[UKG1] Herefordshire, Worcestershire and Warwickshire (NUTS 2021)
[UKG2] Shropshire and Staffordshire (NUTS 2021)
[UKG3] West Midlands (NUTS 2021)
[UKH1] East Anglia (NUTS 2021)
[UKH2] Bedfordshire and Hertfordshire (NUTS 2021)
[UKH3] Essex (NUTS 2021)
[UKI1] Inner London (NUTS 2010)
[UKI2] Outer London (NUTS 2010)
[UKI3] Inner London - West (NUTS 2021)
[UKI5] Outer London - East and North East (NUTS 2021)
[UKI6] Outer London - South (NUTS 2021)
[UKI7] Outer London - West and North West (NUTS 2021)
[UKJ1] Berkshire, Buckinghamshire and Oxfordshire (NUTS 2021)
[UKJ2] Surrey, East and West Sussex (NUTS 2021)
[UKJ3] Hampshire and Isle of Wight (NUTS 2021)
[UKJ4] Kent (NUTS 2021)
[UKK1] Gloucestershire, Wiltshire and Bristol/Bath area (NUTS 2021)
[UKK2] Dorset and Somerset (NUTS 2021)
[UKK3] Cornwall and Isles of Scilly (NUTS 2021)
[UKK4] Devon (NUTS 2021)
[UKL1] West Wales and The Valleys (NUTS 2021)
[UKL2] East Wales (NUTS 2021)
[UKM2] Eastern Scotland (NUTS 2013)
[UKM3] South Western Scotland (NUTS 2013)
[UKM5] North Eastern Scotland (NUTS 2021)
[UKM6] Highlands and Islands (NUTS 2021)
[UKN0] Northern Ireland (UK) (NUTS 2021)
Search filters
Time frequency [freq] (1)
Live animals [animals] (6)
Unit of measure [unit] (1)
Geopolitical entity (reporting) [geo] (372)
This dataset has 2,216 series:
[A.A1000.PC_LSU.AT] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Austria
- from
- 2005=2.4
- to
- 2016=2.9
- min:
- 2.4
- max:
- 2.9
- avg:
- 2.6
- σ:
- 0.167
[A.A1000.PC_LSU.AT11] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Burgenland
- from
- 2005=5.2
- to
- 2016=4.4
- min:
- 4.1
- max:
- 7.8
- avg:
- 5.4
- σ:
- 1.304
[A.A1000.PC_LSU.AT12] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Niederösterreich
- from
- 2005=2.4
- to
- 2016=3.2
- min:
- 2.1
- max:
- 3.2
- avg:
- 2.44
- σ:
- 0.393
[A.A1000.PC_LSU.AT13] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Wien (AT13)
- from
- 2005=58.1
- to
- 2016=72.2
- min:
- 34.3
- max:
- 72.2
- avg:
- 52.42
- σ:
- 12.619
[A.A1000.PC_LSU.AT21] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Kärnten
- from
- 2005=3.1
- to
- 2016=3.7
- min:
- 3
- max:
- 3.7
- avg:
- 3.38
- σ:
- 0.293
[A.A1000.PC_LSU.AT22] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Steiermark
- from
- 2005=2.1
- to
- 2016=2.2
- min:
- 1.9
- max:
- 2.2
- avg:
- 2.08
- σ:
- 0.098
[A.A1000.PC_LSU.AT31] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Oberösterreich
- from
- 2005=1.4
- to
- 2016=1.7
- min:
- 1.4
- max:
- 2.1
- avg:
- 1.76
- σ:
- 0.224
[A.A1000.PC_LSU.AT32] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Salzburg
- from
- 2005=4.4
- to
- 2016=6.1
- min:
- 4.4
- max:
- 6.1
- avg:
- 4.98
- σ:
- 0.611
[A.A1000.PC_LSU.AT33] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Tirol
- from
- 2005=3.9
- to
- 2016=4.3
- min:
- 3.9
- max:
- 4.6
- avg:
- 4.2
- σ:
- 0.268
[A.A1000.PC_LSU.AT34] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Vorarlberg
- from
- 2005=3.6
- to
- 2016=4.4
- min:
- 3.2
- max:
- 4.4
- avg:
- 3.68
- σ:
- 0.392
Series code | 2005 | 2007 | 2010 | 2013 | 2016 |
---|---|---|---|---|---|
[A.A1000.PC_LSU.AT] | 2.4 | 2.5 | 2.6 | 2.6 | 2.9 |
[A.A1000.PC_LSU.AT11] | 5.2 | 7.8 | 5.5 | 4.1 | 4.4 |
[A.A1000.PC_LSU.AT12] | 2.4 | 2.2 | 2.3 | 2.1 | 3.2 |
[A.A1000.PC_LSU.AT13] | 58.1 | 51.7 | 34.3 | 45.8 | 72.2 |
[A.A1000.PC_LSU.AT21] | 3.1 | 3 | 3.4 | 3.7 | 3.7 |
[A.A1000.PC_LSU.AT22] | 2.1 | 1.9 | 2.1 | 2.1 | 2.2 |
[A.A1000.PC_LSU.AT31] | 1.4 | 1.8 | 1.8 | 2.1 | 1.7 |
[A.A1000.PC_LSU.AT32] | 4.4 | 4.5 | 4.8 | 5.1 | 6.1 |
[A.A1000.PC_LSU.AT33] | 3.9 | 3.9 | 4.6 | 4.3 | 4.3 |
[A.A1000.PC_LSU.AT34] | 3.6 | 3.6 | 3.6 | 3.2 | 4.4 |
Loading chart
Search filters
Time frequency [freq] (1)
Live animals [animals] (6)
Unit of measure [unit] (1)
Geopolitical entity (reporting) [geo] (372)
This dataset has 2,216 series:
[A.A1000.PC_LSU.AT] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Austria
- from
- 2005=2.4
- to
- 2016=2.9
- min:
- 2.4
- max:
- 2.9
- avg:
- 2.6
- σ:
- 0.167
[A.A1000.PC_LSU.AT11] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Burgenland
- from
- 2005=5.2
- to
- 2016=4.4
- min:
- 4.1
- max:
- 7.8
- avg:
- 5.4
- σ:
- 1.304
[A.A1000.PC_LSU.AT12] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Niederösterreich
- from
- 2005=2.4
- to
- 2016=3.2
- min:
- 2.1
- max:
- 3.2
- avg:
- 2.44
- σ:
- 0.393
[A.A1000.PC_LSU.AT13] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Wien (AT13)
- from
- 2005=58.1
- to
- 2016=72.2
- min:
- 34.3
- max:
- 72.2
- avg:
- 52.42
- σ:
- 12.619
[A.A1000.PC_LSU.AT21] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Kärnten
- from
- 2005=3.1
- to
- 2016=3.7
- min:
- 3
- max:
- 3.7
- avg:
- 3.38
- σ:
- 0.293
[A.A1000.PC_LSU.AT22] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Steiermark
- from
- 2005=2.1
- to
- 2016=2.2
- min:
- 1.9
- max:
- 2.2
- avg:
- 2.08
- σ:
- 0.098
[A.A1000.PC_LSU.AT31] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Oberösterreich
- from
- 2005=1.4
- to
- 2016=1.7
- min:
- 1.4
- max:
- 2.1
- avg:
- 1.76
- σ:
- 0.224
[A.A1000.PC_LSU.AT32] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Salzburg
- from
- 2005=4.4
- to
- 2016=6.1
- min:
- 4.4
- max:
- 6.1
- avg:
- 4.98
- σ:
- 0.611
[A.A1000.PC_LSU.AT33] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Tirol
- from
- 2005=3.9
- to
- 2016=4.3
- min:
- 3.9
- max:
- 4.6
- avg:
- 4.2
- σ:
- 0.268
[A.A1000.PC_LSU.AT34] Annual – Live horses, asses, mules and hinnies – Percentage of total livestock units – Vorarlberg
- from
- 2005=3.6
- to
- 2016=4.4
- min:
- 3.2
- max:
- 4.4
- avg:
- 3.68
- σ:
- 0.392
Series code | 2005 | 2007 | 2010 | 2013 | 2016 |
---|---|---|---|---|---|
[A.A1000.PC_LSU.AT] | 2.4 | 2.5 | 2.6 | 2.6 | 2.9 |
[A.A1000.PC_LSU.AT11] | 5.2 | 7.8 | 5.5 | 4.1 | 4.4 |
[A.A1000.PC_LSU.AT12] | 2.4 | 2.2 | 2.3 | 2.1 | 3.2 |
[A.A1000.PC_LSU.AT13] | 58.1 | 51.7 | 34.3 | 45.8 | 72.2 |
[A.A1000.PC_LSU.AT21] | 3.1 | 3 | 3.4 | 3.7 | 3.7 |
[A.A1000.PC_LSU.AT22] | 2.1 | 1.9 | 2.1 | 2.1 | 2.2 |
[A.A1000.PC_LSU.AT31] | 1.4 | 1.8 | 1.8 | 2.1 | 1.7 |
[A.A1000.PC_LSU.AT32] | 4.4 | 4.5 | 4.8 | 5.1 | 6.1 |
[A.A1000.PC_LSU.AT33] | 3.9 | 3.9 | 4.6 | 4.3 | 4.3 |
[A.A1000.PC_LSU.AT34] | 3.6 | 3.6 | 3.6 | 3.2 | 4.4 |
Loading chart