All Layers and Tables (Ecart

Layers:

Layer: Ecart salarial entre hommes et femmes (%en plus des hommes vs femmes) (5)

Name:

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Type:

Geometry Type:

Description:

Copyright Text:

Min. Scale:

Max. Scale:

Default Visibility:

Max Record Count:

Supported query Formats:

Use Standardized Queries:

Extent:

Drawing Info:

{"renderer":{"type":"classBreaks","field":"economie_donnees_3_csv_Ecart_sa","defaultSymbol":null,"defaultLabel":"","minValue":4,"classBreakInfos":[{"classMaxValue":6,"label":"≤6","description":"","symbol":{"type":"esriSFS","style":"esriSFSSolid","color":[237,248,251,255],"outline":{"type":"esriSLS","style":"esriSLSSolid","color":[110,110,110,255],"width":0.7}}},{"classMaxValue":8,"label":"≤8","description":"","symbol":{"type":"esriSFS","style":"esriSFSSolid","color":[179,205,227,255],"outline":{"type":"esriSLS","style":"esriSLSSolid","color":[110,110,110,255],"width":0.7}}},{"classMaxValue":14,"label":"≤14","description":"","symbol":{"type":"esriSFS","style":"esriSFSSolid","color":[140,150,198,255],"outline":{"type":"esriSLS","style":"esriSLSSolid","color":[110,110,110,255],"width":0.7}}},{"classMaxValue":17,"label":"≤17","description":"","symbol":{"type":"esriSFS","style":"esriSFSSolid","color":[136,86,167,255],"outline":{"type":"esriSLS","style":"esriSLSSolid","color":[110,110,110,255],"width":0.7}}},{"classMaxValue":26,"label":"≤26","description":"","symbol":{"type":"esriSFS","style":"esriSFSSolid","color":[129,15,124,255],"outline":{"type":"esriSLS","style":"esriSLSSolid","color":[110,110,110,255],"width":0.7}}}]},"transparency":34,"labelingInfo":null}

HasZ:

HasM:

Has Attachments:

Has Geometry Properties:

HTML Popup Type:

Object ID Field:

Unique ID Field:

Global ID Field:

Type ID Field:

Fields:

OBJECTID (type: esriFieldTypeOID, alias: OBJECTID, SQL Type: sqlTypeOther, length: 0, nullable: false, editable: false)
UE_TF1_UE_POP_EST (type: esriFieldTypeInteger, alias: Population, SQL Type: sqlTypeOther, nullable: true, editable: true)
UE_TF1_UE_POP_YEAR (type: esriFieldTypeSmallInteger, alias: Année population, SQL Type: sqlTypeOther, nullable: true, editable: true)
UE_TF1_UE_ADM0_A3_US (type: esriFieldTypeString, alias: Code ISO, SQL Type: sqlTypeOther, length: 3, nullable: true, editable: true)
UE_TF1_UE_CONTINENT (type: esriFieldTypeString, alias: Continent, SQL Type: sqlTypeOther, length: 23, nullable: true, editable: true)
UE_TF1_UE_SUBREGION (type: esriFieldTypeString, alias: Région, SQL Type: sqlTypeOther, length: 25, nullable: true, editable: true)
UE_TF1_UE_NAME_EN (type: esriFieldTypeString, alias: Nom Anglais, SQL Type: sqlTypeOther, length: 44, nullable: true, editable: true)
UE_TF1_UE_NAME_FR (type: esriFieldTypeString, alias: Nom du pays, SQL Type: sqlTypeOther, length: 54, nullable: true, editable: true)
UE_TF1_UE_Superficie (type: esriFieldTypeSingle, alias: Superficie (km2), SQL Type: sqlTypeOther, nullable: true, editable: true)
UE_TF1_UE_Shape__Area (type: esriFieldTypeDouble, alias: Shape__Area, SQL Type: sqlTypeOther, nullable: true, editable: true)
UE_TF1_UE_Shape__Length (type: esriFieldTypeDouble, alias: Shape__Length, SQL Type: sqlTypeOther, nullable: true, editable: true)
economie_donnees_3_csv_Field1 (type: esriFieldTypeString, alias: Field1, SQL Type: sqlTypeOther, length: 8000, nullable: true, editable: true)
economie_donnees_3_csv_PIB__mil (type: esriFieldTypeString, alias: PIB (millions d'euros), SQL Type: sqlTypeOther, length: 8000, nullable: true, editable: true)
economie_donnees_3_csv_PIB__m_1 (type: esriFieldTypeDouble, alias: PIB (millions d'euros)_X, SQL Type: sqlTypeOther, nullable: true, editable: true)
economie_donnees_3_csv_PIB__m_2 (type: esriFieldTypeDouble, alias: PIB (millions d'euros)_Y, SQL Type: sqlTypeOther, nullable: true, editable: true)
economie_donnees_3_csv_PIB_par_ (type: esriFieldTypeInteger, alias: PIB par habitant (PPA / euros), SQL Type: sqlTypeOther, nullable: true, editable: true)
economie_donnees_3_csv_Croissan (type: esriFieldTypeDouble, alias: Croissance économique (%), SQL Type: sqlTypeOther, nullable: true, editable: true)
economie_donnees_3_csv_Taux_de_ (type: esriFieldTypeDouble, alias: Taux de chômage (%), SQL Type: sqlTypeOther, nullable: true, editable: true)
economie_donnees_3_csv_Salaire_ (type: esriFieldTypeInteger, alias: Salaire minimum (euros), SQL Type: sqlTypeOther, nullable: true, editable: true)
economie_donnees_3_csv_Ecart_sa (type: esriFieldTypeInteger, alias: Ecart salarial entre hommes et femmes (% en plus des hommes vs femmes), SQL Type: sqlTypeOther, nullable: true, editable: true)
economie_donnees_3_csv_Dépenses (type: esriFieldTypeDouble, alias: Dépenses militaires totales (en millions d'euros), SQL Type: sqlTypeOther, nullable: true, editable: true)
economie_donnees_3_csv_Temps_né (type: esriFieldTypeInteger, alias: Temps nécessaire pour démarrer une entreprise (jours, SQL Type: sqlTypeOther, nullable: true, editable: true)
economie_donnees_3_csv_Abonneme (type: esriFieldTypeDouble, alias: Abonnements téléphoniques (/100 habitants), SQL Type: sqlTypeOther, nullable: true, editable: true)
economie_donnees_3_csv_Nombre_d (type: esriFieldTypeInteger, alias: Nombre de McDonald par pays (vaeur absolue), SQL Type: sqlTypeOther, nullable: true, editable: true)
Shape__Area (type: esriFieldTypeDouble, alias: Shape__Area, SQL Type: sqlTypeDouble, nullable: true, editable: false)
Shape__Length (type: esriFieldTypeDouble, alias: Shape__Length, SQL Type: sqlTypeDouble, nullable: true, editable: false)

Templates:

Is Data Versioned:

Has Contingent Values:

Supports Rollback On Failure Parameter:

Last Edit Date:

Schema Last Edit Date:

Data Last Edit Date:

All Layers and Tables (Ecart_salarial)

Layers:

Layer: Ecart salarial entre hommes et femmes (%en plus des hommes vs femmes) (5)