RGA 2020 - Dataviz Challenge
Organisation : Plateforme Open Data ZABAL

# \--------- DataViz challenge ---------

  


Le recensement agricole est une opération décennale européenne et obligatoire, qui a pour objectif d'actualiser les données sur l'agriculture française.

  


L'objectif du recensement agricole 2020 est de connaître les productions des exploitations. Les principales données portent sur : 

  * Les cultures et superficies cultivées, 
  * L’élevage et le cheptel, 
  * Les modes de protection des cultures, 
  * L’équipement des exploitations, 
  * La diversification des activités (tourisme vert…), 
  * La commercialisation des produits (AOC, vente directe aux consommateurs… ), 
  * L’emploi (salariat, emploi familial…) et le niveau de formation de l’exploitant, 
  * La gestion de l’exploitation. 



Aucune question ne porte sur les résultats financiers, ni sur le revenu des agriculteurs.

**Fichiers**

Le participant peut utiliser directement le fichier RGA 2020 post-traité.

11 pièces jointes sont aussi mises à disposition. Le fichier RGA 2020 est la compilation après traitement des 11 fichiers.

Libre choix au participant d'utiliser le fichier RGA 2020 post-traité ou d'utiliser les 11 fichiers disponibles en pièce jointe. Les intitulés des colonnes restent identiques selon le choix des fichiers.

**Echelle**

Le Pays Basque est divisé en un unique EPCI prénommé CA du Pays Basque. Cet EPCI est composé de 10 pôles.

Lien vers les différentes échelles :

  * EPCI : [EPCI CA du Pays Basque](https://zabal-agriculture.opendata-paysbasque.fr/explore/dataset/contour-du-pays-basque/information/)
  * Pôle : [10 pôles du Pays Basque](https://zabal-agriculture.opendata-paysbasque.fr/explore/dataset/contour_capb_poles_territoriaux/information/)



**Description des colonnes**

Echelle :

CA du Pays Basque |  Amikuze |  Pays d'Hasparren |  Nive Adour  
---|---|---|---  
Sud Pays Basque |  Côte Basque Adour |  Garazi Baigorri |  Soule Xiberoa  
Pays de Bidache |  Iholdi Oztibarre |  Errobi |   
  
Attention: CA du Pays Basque est la somme des 10 autres pôles.

  


Catégorie :   


 _Nombre exploitation :_

année : 1970, 1979, 1988, 2000, 2010, 2020

valeur: 1 033 exploitations en 1979 

sau-total-ha: SAU Total en hectare, la SAU totale est de 19 793,01ha pour 1 033 exploitation en 1979

sau-moyen_ha: SAU moyen en hectare, En moyenne une exploitation a 19,161ha de SAU en 1979

 _Taille exploitation :_

Type : micro-exploitations, petites, moyennes, grandes

Exemple de lecture d'un ligne: en 2020 dans le pôle de Garazi Baigorri, 179 exploitations sont de type microexploitations avec une SAU totale de 2 205, 38.  
  


_Statut exploitation_

Type : exploitations individuelles, EARL, GAEC, autres statuts 

Exemple de lecture d'un ligne: en 2010 dans le pôle de Garazi Baigorri, 719 exploitations sont de type individuelles pour une SAU totale de 16 758.71 ha.

 _OTEX_

Type : autres grandes cultures, bovins lait, bovins mixte, bovins viande, céréales et/ou oléoprotéagineux, combinaisons de granivores (porcins, volailles), équidés et/ou autres herbivores, fleurs et/ou horticulture diverse, fruits ou autres cultures permanentes, légumes ou champignons, non classées, ovins ou caprins, polyculture et/ou polyélevage, porcins, viticulture, volailles.

 _Main d'œuvre_

Type : main d'œuvre totale, chefs d'exploitations, coexploitants, dont coexploitants familiaux, main d'œuvre familiale, salariés permanents, sous-total main d'œuvre permanente, saisonniers et salariés occasionnels

  


Attention:

sous-total main d'œuvre permanente = chefs d'exploitations, coexploitants + main d'œuvre familiale + salariés permanents  


main d'œuvre totale = sous-total main d'œuvre permanente + saisonniers et salariés occasionnels

La valeur "dont coexploitants familiaux" est une sous catégorie de "chefs d'exploitations, coexploitants" => 5272 chefs d'exploitations dont 757 coexploitant familiaux.  


Age_5

Type : (0,25], (25,30], (30,35], (35,40], (40,45], (45,50], (50,55], (55,60], (60,65], (65,70], (70,Inf]

valeur: représente le nombre d'homme ou de femme agriculteur.

Certains pôles différencient F & H (F : Femme, H : Homme)

 _Devenir exploitation_

Type : nombre d'exploitations non concernées, total d'exploitations concernées, pas de départ du chef ou coexploitant envisagé dans l'immédiat, reprise par un coexploitant, un membre de la famille ou un tiers, ne sait pas, disparition au profit de l'agrandissement d'une ou plusieurs autres exploitations, disparition des terres au profit d'un usage non agricole

valeur: représente le nombre d'exploitations

  


Attention:

Nombre exploitations totales = nombre d'exploitations non concernées + total d'exploitations concernées

total d'exploitations concernées = pas de départ du chef ou coexploitant envisagé dans l'immédiat + reprise par un coexploitant, un membre de la famille ou un tiers + ne sait pas + disparition au profit de l'agrandissement d'une ou plusieurs autres exploitations + disparition des terres au profit d'un usage non agricole  
  


 _Surface_

Type : total SAU dont, céréales, protéagineux et légumes secs pour leur graine, plantes à parfum, aromatiques, médicinales, fleurs et plantes ornementales, plantes à fibres et plantes industrielles diverses, pommes de terre, légumes frais, plants de légumes, melons ou fraise, fourrages annuels, vignes, cultures fruitières, oléagineux, prairies, jachères

valeur: représente le nombre d'exploitations

  


Attention:

La ligne "Total SAU dont" n'est pas la somme des cultures. Toutes les cultures ne sont pas présentent.

  
  
_Cheptel_

Type : total ensemble du cheptel, total bovins, vaches laitières, vaches allaitantes, total ovins, brebis mères laitières, brebis mères allaitantes, total caprins, chèvres, total équins, juments selle, juments lourdes, total porcins, truies, total volailles, poules pondeuses d'œufs de consommation, poulets de chair et coqs, lapines mères, apiculture (nombre de ruches). 

Attention: 

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)  


  


Valorisation

Type : nombre total d'exploitations, agriculture biologique, autres signes officiels de qualité (yc vin et hors bio), AOP, IGP, Label rouge, activités de transformation (hors vinifications à la ferme), transformation de lait, transformation ou découpe de viande, transformation de fruits et/ou légumes, activités de diversification dont, travail à façon, tourisme - hébergement - loisirs, énergie renouvelable (pour la vente), circuits courts (hors vin) dont, vente directe (hors vin)

valeur: représente le nombre d'exploitation

  


Attention:

Certaines exploitations peuvent avoir plusieurs signe officiels de qualité d'où des sommes différentes.

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)  


  


  


  


  


  


  


  


**Définition / Précision**

Exploitation agricole : [Définition Insee](https://www.insee.fr/fr/metadonnees/definition/c1186) ; [Définition Agreste](https://agreste.agriculture.gouv.fr/agreste-web/methodon/D-Exploitation%20agricole/methodon/)

Taille exploitation : 

  * Micro ferme : ayant une surface de production inférieure ou égale à 1 ha
  * Petite ferme : environ de 1 à 25 ha
  * Moyenne ferme : 25 à 50 ha
  * Grande ferme > 50 ha  




GAEC : [Définition Agreste](https://agreste.agriculture.gouv.fr/agreste-web/methodon/D-Gaec/methodon/)

OTEX : Orientation technico-économique de l'exploitation; [Définition Insee](https://www.insee.fr/fr/metadonnees/definition/c2079) , [Définition Agreste](https://agreste.agriculture.gouv.fr/agreste-web/methodon/N.1/!searchurl/listeTypeMethodon/)

SAU : Superficie agricole utilisée ; [Définition Insee](https://www.insee.fr/fr/metadonnees/definition/c1003) ; [Définition Agreste](https://agreste.agriculture.gouv.fr/agreste-web/methodon/D-SAU/methodon/)

UGB : unité de gros bétail ; unité de référence permettant de calculer les besoins nutritionnels ou alimentaires de chaque type d’animal d'élevage

UTA : Unité de travail annuel ; [Définition Insee](https://www.insee.fr/fr/metadonnees/definition/c1039)

ETP : Equivalent temps plein, [Définition Agreste](https://agreste.agriculture.gouv.fr/agreste-web/methodon/D-ETP/methodon/)

PBS : production brute standard ; représentent la valeur de la production potentielle par hectare ou par tête d'animal présent hors toute aide ; [Définition Agreste](https://agreste.agriculture.gouv.fr/agreste-web/methodon/N.3/!searchurl/listeTypeMethodon/)

Valorisation : Une exploitation peut avoir plusieurs signes officiels de qualité 

Age : Certains pôles n'ont pas le même découpage dû au secret statistique ou au manque de données.

**Source**

source : Agreste Recensement agricole 2020

DRAAF - Sriset

-999 : Secret statistique

Formats des ressources : vnd.openxmlformats-officedocument.spreadsheetml.sheet,csv,zip,json,jpe,pdf
Licence : License Not Specified