20220131 11555100 1.0 INSPIRE Metadata Directive FALSE fcT3_DEF -63.151187 55.835779 -21.388846 71.184162 1 002 Geographic GCS_WGS_1984 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.8.0'><WKT>GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem> 20220502 15372000 20220502 15372000 60000000 100000 INSPIRE fcT3_DEF Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. NUTS_ID NUTS_ID String 5 0 0 SHAPE Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. country 0 nuts1 1 nuts2 2 LEVL_CODE LEVL_CODE SmallInteger 2 0 0 nuts3 3 CNTR_CODE CNTR_CODE String 255 0 0 NUTS_NAME NUTS_NAME String 255 0 0 NAME_ENGL NAME_ENGL String 255 0 0 FULLNAME FULLNAME String 255 0 0 goods_5 goods_5 Double 8 0 0 low_productivity_goods_5 low-productivity goods_5 Double 8 0 0 high_productivity_goods_5 high-productivity goods_5 Double 8 0 0 services_2 services_2 Double 8 0 0 low_productivity_services_2 low-productivity services_2 Double 8 0 0 high_productivity_services_2 high-productivity services_2 Double 8 0 0 RERI RERI Double 8 0 0 RERI_normalized_0_1 RERI_normalized_0_1 Double 8 0 0 RERI_noUK RERI_noUK Double 8 0 0 RERI_normalized_0_1_noUK RERI_normalized_0_1_noUK Double 8 0 0 rank_goods_5 rank_goods_5 Double 8 0 0 rank_low_productivity_goods_5 rank_low_productivity_goods_5 Double 8 0 0 rank_high_productivity_goods_5 rank_high_productivity_goods_5 Double 8 0 0 rank_services_2 rank_services_2 Double 8 0 0 rank_low_productivity_services_2 rank_low_productivity_services_2 Double 8 0 0 rank_high_productivity_services_2 rank_high_productivity_services_2 Double 8 0 0 rank_RERI rank_RERI Double 8 0 0 rank_RERI_normalized_0_1 rank_RERI_normalized_0_1 Double 8 0 0 rank_RERI_noUK rank_RERI_noUK Double 8 0 0 rank_RERI_normalized_0_1_noUK rank_RERI_normalized_0_1_noUK Double 8 0 0 rank_EGD_S1_A_VA rank_EGD_S1_A_VA Double 8 0 0 rank_EGD_S2_A_VA rank_EGD_S2_A_VA Double 8 0 0 rank_EGD_S3_A_VA rank_EGD_S3_A_VA Double 8 0 0 rank_EGD_S1_A_CO2 rank_EGD_S1_A_CO2 Double 8 0 0 rank_EGD_S2_A_CO2 rank_EGD_S2_A_CO2 Double 8 0 0 rank_EGD_S3_A_CO2 rank_EGD_S3_A_CO2 Double 8 0 0 rank_EGD_S1_A_EMP rank_EGD_S1_A_EMP Double 8 0 0 rank_EGD_S2_A_EMP rank_EGD_S2_A_EMP Double 8 0 0 rank_EGD_S3_A_EMP rank_EGD_S3_A_EMP Double 8 0 0 rank_EGD_S1_B_VA rank_EGD_S1_B_VA Double 8 0 0 rank_EGD_S2_B_VA rank_EGD_S2_B_VA Double 8 0 0 rank_EGD_S3_B_VA rank_EGD_S3_B_VA Double 8 0 0 rank_EGD_S1_B_CO2 rank_EGD_S1_B_CO2 Double 8 0 0 rank_EGD_S1_B_EMP rank_EGD_S1_B_EMP Double 8 0 0 rank_EGD_S2_B_CO2 rank_EGD_S2_B_CO2 Double 8 0 0 rank_EGD_S2_B_EMP rank_EGD_S2_B_EMP Double 8 0 0 rank_EGD_S3_B_CO2 rank_EGD_S3_B_CO2 Double 8 0 0 rank_EGD_S3_B_EMP rank_EGD_S3_B_EMP Double 8 0 0 rank_NG1_VA_C24_tot rank_NG1_VA_C24_tot Double 8 0 0 rank_NG1_VA_C24_dir rank_NG1_VA_C24_dir Double 8 0 0 rank_NG1_VA_C24_indir rank_NG1_VA_C24_indir Double 8 0 0 rank_NG2_VA_C29_tot rank_NG2_VA_C29_tot Double 8 0 0 rank_NG2_VA_C29_dir rank_NG2_VA_C29_dir Double 8 0 0 rank_NG2_VA_C29_indir rank_NG2_VA_C29_indir Double 8 0 0 rank_NG3_VA_WTO_tot rank_NG3_VA_WTO_tot Double 8 0 0 rank_NG3_VA_WTO_dir rank_NG3_VA_WTO_dir Double 8 0 0 rank_NG3_VA_WTO_indir rank_NG3_VA_WTO_indir Double 8 0 0 rank_NG4_VA_WTO_tot rank_NG4_VA_WTO_tot Double 8 0 0 rank_NG4_VA_WTO_dir rank_NG4_VA_WTO_dir Double 8 0 0 rank_NG4_VA_WTO_indir rank_NG4_VA_WTO_indir Double 8 0 0 rank_PCR1_VA rank_PCR1_VA Double 8 0 0 rank_PCR1_CO2 rank_PCR1_CO2 Double 8 0 0 rank_PCR1_EMP rank_PCR1_EMP Double 8 0 0 rank_PCR2A_S1_VA rank_PCR2A_S1_VA Double 8 0 0 rank_PCR2A_S1_CO2 rank_PCR2A_S1_CO2 Double 8 0 0 rank_PCR2A_S1_EMP rank_PCR2A_S1_EMP Double 8 0 0 rank_PCR2B_S2_EMP rank_PCR2B_S2_EMP Double 8 0 0 rank_PCR2C_S3_VA rank_PCR2C_S3_VA Double 8 0 0 rank_PCR2C_S3_CO2 rank_PCR2C_S3_CO2 Double 8 0 0 rank_PCR2C_S3_EMP rank_PCR2C_S3_EMP Double 8 0 0 rank_PCR3A_S1_VA rank_PCR3A_S1_VA Double 8 0 0 rank_PCR3A_S1_CO2 rank_PCR3A_S1_CO2 Double 8 0 0 rank_PCR3A_S1_EMP rank_PCR3A_S1_EMP Double 8 0 0 rank_PCR3B_S2_VA rank_PCR3B_S2_VA Double 8 0 0 rank_PCR3B_S2_CO2 rank_PCR3B_S2_CO2 Double 8 0 0 rank_PCR3B_S2_EMP rank_PCR3B_S2_EMP Double 8 0 0 rank_PCR3C_S3_VA rank_PCR3C_S3_VA Double 8 0 0 rank_PCR3C_S3_CO2 rank_PCR3C_S3_CO2 Double 8 0 0 rank_PCR3C_S3_EMP rank_PCR3C_S3_EMP Double 8 0 0 goods_1A goods_1A Double 8 0 0 low_productivity_goods_1A low_productivity_goods_1A Double 8 0 0 high_productivity_goods_1A high_productivity_goods_1A Double 8 0 0 services_1B services_1B Double 8 0 0 low_productivity_services_1B low_productivity_services_1B Double 8 0 0 high_productivity_services_1B high_productivity_services_1B Double 8 0 0 rank_goods_1A rank_goods_1A Double 8 0 0 rank_low_productivity_goods_1A rank_low_productivity_goods_1A Double 8 0 0 rank_high_productivity_goods_1A rank_high_productivity_goods_1A Double 8 0 0 rank_services_1B rank_services_1B Double 8 0 0 rank_low_productivity_services_1B rank_low_productivity_services_1B Double 8 0 0 rank_high_productivity_services_1B rank_high_productivity_services_1B Double 8 0 0 rank_PCR2B_S2_VA rank_PCR2B_S2_VA Double 8 0 0 rank_PCR2B_S2_CO2 rank_PCR2B_S2_CO2 Double 8 0 0 EGD_S1_A_VA EGD_S1_A_VA Double 8 0 0 EGD_S2_A_VA EGD_S2_A_VA Double 8 0 0 EGD_S3_A_VA EGD_S3_A_VA Double 8 0 0 EGD_S1_A_CO2 EGD_S1_A_CO2 Double 8 0 0 EGD_S2_A_CO2 EGD_S2_A_CO2 Double 8 0 0 EGD_S3_A_CO2 EGD_S3_A_CO2 Double 8 0 0 EGD_S1_A_EMP EGD_S1_A_EMP Double 8 0 0 EGD_S2_A_EMP EGD_S2_A_EMP Double 8 0 0 EGD_S3_A_EMP EGD_S3_A_EMP Double 8 0 0 EGD_S1_B_VA EGD_S1_B_VA Double 8 0 0 EGD_S2_B_VA EGD_S2_B_VA Double 8 0 0 EGD_S3_B_VA EGD_S3_B_VA Double 8 0 0 EGD_S1_B_CO2 EGD_S1_B_CO2 Double 8 0 0 EGD_S1_B_EMP EGD_S1_B_EMP Double 8 0 0 EGD_S2_B_CO2 EGD_S2_B_CO2 Double 8 0 0 EGD_S2_B_EMP EGD_S2_B_EMP Double 8 0 0 EGD_S3_B_CO2 EGD_S3_B_CO2 Double 8 0 0 EGD_S3_B_EMP EGD_S3_B_EMP Double 8 0 0 NG1_VA_C24_tot NG1_VA_C24_tot Double 8 0 0 NG1_VA_C24_dir NG1_VA_C24_dir Double 8 0 0 NG1_VA_C24_indir NG1_VA_C24_indir Double 8 0 0 NG2_VA_C29_tot NG2_VA_C29_tot Double 8 0 0 NG2_VA_C29_dir NG2_VA_C29_dir Double 8 0 0 NG2_VA_C29_indir NG2_VA_C29_indir Double 8 0 0 NG3_VA_WTO_tot NG3_VA_WTO_tot Double 8 0 0 NG3_VA_WTO_dir NG3_VA_WTO_dir Double 8 0 0 NG3_VA_WTO_indir NG3_VA_WTO_indir Double 8 0 0 NG4_VA_WTO_tot NG4_VA_WTO_tot Double 8 0 0 NG4_VA_WTO_dir NG4_VA_WTO_dir Double 8 0 0 NG4_VA_WTO_indir NG4_VA_WTO_indir Double 8 0 0 PCR1_VA PCR1_VA Double 8 0 0 PCR1_CO2 PCR1_CO2 Double 8 0 0 PCR1_EMP PCR1_EMP Double 8 0 0 PCR2A_S1_VA PCR2A_S1_VA Double 8 0 0 PCR2A_S1_CO2 PCR2A_S1_CO2 Double 8 0 0 PCR2A_S1_EMP PCR2A_S1_EMP Double 8 0 0 PCR2B_S2_VA PCR2B_S2_VA Double 8 0 0 PCR2B_S2_CO2 PCR2B_S2_CO2 Double 8 0 0 PCR2B_S2_EMP PCR2B_S2_EMP Double 8 0 0 PCR2C_S3_VA PCR2C_S3_VA Double 8 0 0 PCR2C_S3_CO2 PCR2C_S3_CO2 Double 8 0 0 PCR2C_S3_EMP PCR2C_S3_EMP Double 8 0 0 PCR3A_S1_VA PCR3A_S1_VA Double 8 0 0 PCR3A_S1_CO2 PCR3A_S1_CO2 Double 8 0 0 PCR3A_S1_EMP PCR3A_S1_EMP Double 8 0 0 PCR3B_S2_VA PCR3B_S2_VA Double 8 0 0 PCR3B_S2_CO2 PCR3B_S2_CO2 Double 8 0 0 PCR3B_S2_EMP PCR3B_S2_EMP Double 8 0 0 PCR3C_S3_VA PCR3C_S3_VA Double 8 0 0 PCR3C_S3_CO2 PCR3C_S3_CO2 Double 8 0 0 PCR3C_S3_EMP PCR3C_S3_EMP Double 8 0 0 va_per_tot va_per_tot Double 8 0 0 x_per_tot x_per_tot Double 8 0 0 emp_per_tot emp_per_tot Double 8 0 0 va_per_price va_per_price Double 8 0 0 x_per_price x_per_price Double 8 0 0 emp_per_price emp_per_price Double 8 0 0 va_per_quantities va_per_quantities Double 8 0 0 x_per_quantities x_per_quantities Double 8 0 0 emp_per_quantities emp_per_quantities Double 8 0 0 inflation inflation Double 8 0 0 Exports Exports Double 8 0 0 Imports Imports Double 8 0 0 UKR_Exports UKR_Exports Double 8 0 0 UKR_Imports UKR_Imports Double 8 0 0 rank_va_per_tot rank_va_per_tot Double 8 0 0 rank_x_per_tot rank_x_per_tot Double 8 0 0 rank_emp_per_tot rank_emp_per_tot Double 8 0 0 rank_va_per_price rank_va_per_price Double 8 0 0 rank_x_per_price rank_x_per_price Double 8 0 0 rank_emp_per_price rank_emp_per_price Double 8 0 0 rank_va_per_quantities rank_va_per_quantities Double 8 0 0 rank_x_per_quantities rank_x_per_quantities Double 8 0 0 rank_emp_per_quantities rank_emp_per_quantities Double 8 0 0 rank_inflation rank_inflation Double 8 0 0 rank_UKR_Exports rank_UKR_Exports Double 8 0 0 rank_UKR_Imports rank_UKR_Imports Double 8 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 10d41695-7f98-45eb-bd71-41ec401aa278 dataset European Commission, Eurostat (ESTAT), GISCO estat-gisco@ec.europa.eu European Commission, Eurostat (ESTAT), GISCO 20220502 ArcGIS Metadata 1.0 http://myintracomm.ec.europa.eu/dg/ESTAT/6-tools/GISCO/AccessGeographicalRef%20Database/Pages/AccessGeographicalRefDatabase.aspx http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units https://webgate.ec.europa.eu/fpfis/wikis/x/vQXOB File Geodatabase Feature Class fcT3_DEF 2018-03-20T00:00:00 {15ADF8E2-502D-477B-9BE2-99C989EAB0A4} <div style='text-align:Left;'><div><div><p><span>This dataset represents the regions for levels 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2016. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of four different levels (NUTS , 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. An additional Country level (NUTS 0) is also available for countries where the the nation at statistical level does not coincide with the administrative boundaries. For example Mt Athos in Greece and Mellum and Minsener Ogg in Germany. The NUTS classification has been officially established through Regulation (EC) No 2016/2066 of the European Parliament and of the Council and its amendments. A non-official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. This dataset has been created mainly from the EuroBoundary Map v 12 (Eurogeographics) and geographic information from TurkStat for Turkey. The public dataset is available under the Download link indicated below. Available scales are 1M, 3M, 10M, 20M, 60M). The full dataset is available via the EC restricted download link under GISCO.NUTS_2016. Here six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are available. Coverage is the economic territory of the EU, EFTA countries and candidate countries as in 2017.</span></p></div></div></div> European Commission, Eurostat (ESTAT), GISCO estat-gisco@ec.europa.eu European Commission, Eurostat (ESTAT), GISCO https://webgate.ec.europa.eu/inspire/geoportal/rest/thumbnails/{D5B3DF3F-0F37-4CDD-8A42-4B17F165E694} NUTS2013 GEMET - INSPIRE themes, version 1.0 2008-06-01T00:00:00 geonetwork.thesaurus.external.theme.inspire-theme Statistical units INSPIREGEOPORTAL NUTS NUTS INSPIREGEOPORTAL Statistical units (e) intellectual property rights <div style='text-align:Left;'><div><div><p><span>The European Commission, its Executive Agencies and European Environmental Agency may use the dataset under the following usage restrictions: https://webgate.ec.europa.eu/fpfis/wikis/display/GISCO/License+conditions+for+EuroGeographics+Administrative+and+Topographic+spatial+datasets. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission – Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.</span></p></div></div></div> 60000000 100000 -69.103165 61.78629 -26.018616 75.814181 2017-01-01T00:00:00 Esri ArcGIS 12.8.3.29751 1 -63.151187 55.835779 71.184162 -21.388846 Scenarios ESPON Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2015-12-03T00:00:00 See the referenced specification This dataset is based on: EuroBoundaryMap (EBM) v12.x from EuroGeographics (scale of 1:100.000), Global Administrative Unit Layer (GAUL) 2015 country data from UN/FAO, data from the National Statistical Institute of Turkey (TurkStat). The different scale levels were derived by generalisation of the 100K scale. This dataset consists of 2 feature classes (region polygons and boundaries) per scale level (100k, 1M, 3M, 10M, 20M, 60M). In addition, there is also a label feature class (scale independent). This labelpoint feature class was created with a label inside each NUTS region at the 3 NUTS levels (1 - 3) and countries. Furthermore, two line feature classes were created: one feature class for cartographic joiners to identify where NUTS areas have one or more enclaves and a second line feature class, for cartographic separators to identify where the NUTS limits are in the sea. The arcs of the two latter feature classes are only useful for cartographic purposes and are not meant to identify actual administrative or statistical boundaries stretching into the sea or have any other significance. The boundaries and regions are related to each other through a relationship table. Associated tables contain basic information such as the region's name. The 5 small scale feature classes should be used exclusively for cartographic purposes. This dataset is consistent at all scales with the following datasets: Communes 2016 of European Commission, Eurostat/GISCO, Countries 2016, European Commission - Eurostat/GISCO, Coastlines 2016, European Commission - Eurostat/GISCO. Exclusive Economic Zones 2016, European Commission - Eurostat/GISCO. Different tests were performed to ensure conceptual-, domain- and topological- consistency. Errors in the NUTS/Statistical regions geometry supplied in EBM 12 have been rectified in Scotland for UKN10, UKN11, UKN12, UKN13, UKN14, UKN15, UKN16 and RS110. As of 01/01/2018 two counties in Norway (NO061 Sør-Trøndelag and NO062 Nord-Trøndelag) were joined to the new county Trøndelag coded NO060. 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