<data>
<row _id="1"><city>Milano</city><regione>Lombardia</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>36,3969115461653</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>144,39161305206</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>0,784</X3 = households with home ownership (% of total households)><x1_anno>2017</x1_anno><x2_anno>2017</x2_anno><x3_anno>2017</x3_anno><x1_città/regione>Milano</x1_città/regione><x2_città/regione>Milano</x2_città/regione><x3_città/regione>Lombardia</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>metropolitan area</x2_geo><x3_geo>region</x3_geo><x1_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x1_fonte><x2_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x2_fonte><x3_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Istat, Institut d'Estadística de Catalunya, Insee data</x3_fonte><x3_note>data for Lyon refer to 2015</x3_note><X1 indice (media=1)>1,07977732653831</X1 indice (media=1)><X2 indice (media=1)>0,992818139687809</X2 indice (media=1)><X3 indice (media=1)>1,19330289193303</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,08863278605305</Score di dimensione (media X123 indicizzati)></row>
<row _id="2"><city>Barcelona</city><regione>Cataluña</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>24,4842172291458</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>171,644027804349</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>0,701</X3 = households with home ownership (% of total households)><x1_anno>2017</x1_anno><x2_anno>2017</x2_anno><x3_anno>2017</x3_anno><x1_città/regione>Barcelona</x1_città/regione><x2_città/regione>Barcelona</x2_città/regione><x3_città/regione>Cataluña</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>metropolitan area</x2_geo><x3_geo>region</x3_geo><x1_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x1_fonte><x2_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x2_fonte><x3_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Istat, Institut d'Estadística de Catalunya, Insee data</x3_fonte><x3_note>data for Lyon refer to 2015</x3_note><X1 indice (media=1)>0,726366647580453</X1 indice (media=1)><X2 indice (media=1)>1,1802022345425</X2 indice (media=1)><X3 indice (media=1)>1,06697108066971</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,991179987597554</Score di dimensione (media X123 indicizzati)></row>
<row _id="3"><city>Lyon</city><regione>Rhône-Alpes</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>40,2422528283325</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>120,272703884744</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>0,486</X3 = households with home ownership (% of total households)><x1_anno>2017</x1_anno><x2_anno>2017</x2_anno><x3_anno>2015</x3_anno><x1_città/regione>Lyon</x1_città/regione><x2_città/regione>Lyon</x2_città/regione><x3_città/regione>Rhône-Alpes</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>metropolitan area</x2_geo><x3_geo>region</x3_geo><x1_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x1_fonte><x2_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x2_fonte><x3_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Istat, Institut d'Estadística de Catalunya, Insee data</x3_fonte><x3_note>data for Lyon refer to 2015</x3_note><X1 indice (media=1)>1,19385602588123</X1 indice (media=1)><X2 indice (media=1)>0,826979625769692</X2 indice (media=1)><X3 indice (media=1)>0,73972602739726</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,920187226349396</Score di dimensione (media X123 indicizzati)></row>
<row _id="4"><city>München</city><regione>Bayern</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>n.a.</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>n.a.</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>n.a.</X3 = households with home ownership (% of total households)><x1_anno xsi:nil="true" /><x2_anno xsi:nil="true" /><x3_anno xsi:nil="true" /><x1_città/regione /><x2_città/regione /><x3_città/regione /><x1_geo /><x2_geo /><x3_geo /><x1_fonte /><x2_fonte /><x3_fonte /><x3_note /><X1 indice (media=1) /><X2 indice (media=1) /><X3 indice (media=1) /><Score di dimensione (media X123 indicizzati)>n.a.</Score di dimensione (media X123 indicizzati)></row>
<row _id="5"><city>Stuttgart</city><regione>Baden-Württemberg</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>n.a.</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>n.a.</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>n.a.</X3 = households with home ownership (% of total households)><x1_anno xsi:nil="true" /><x2_anno xsi:nil="true" /><x3_anno xsi:nil="true" /><x1_città/regione /><x2_città/regione /><x3_città/regione /><x1_geo /><x2_geo /><x3_geo /><x1_fonte /><x2_fonte /><x3_fonte /><x3_note /><X1 indice (media=1) /><X2 indice (media=1) /><X3 indice (media=1) /><Score di dimensione (media X123 indicizzati)>n.a.</Score di dimensione (media X123 indicizzati)></row>
<row _id="6"><city>Milano</city><regione>Lombardia</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>34,4492546058199</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>135,640683874606</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>0,782</X3 = households with home ownership (% of total households)><x1_anno>2016</x1_anno><x2_anno>2016</x2_anno><x3_anno>2016</x3_anno><x1_città/regione>Milano</x1_città/regione><x2_città/regione>Milano</x2_città/regione><x3_città/regione>Lombardia</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>metropolitan area</x2_geo><x3_geo>region</x3_geo><x1_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x1_fonte><x2_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x2_fonte><x3_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Istat, Institut d'Estadística de Catalunya, Insee data</x3_fonte><x3_note>data for Lyon refer to 2014</x3_note><X1 indice (media=1)>1,11349011004079</X1 indice (media=1)><X2 indice (media=1)>1,033514561581</X2 indice (media=1)><X3 indice (media=1)>1,1783023606228</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,10843567741486</Score di dimensione (media X123 indicizzati)></row>
<row _id="7"><city>Barcelona</city><regione>Cataluña</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>21,4340335360236</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>148,361073911103</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>0,723</X3 = households with home ownership (% of total households)><x1_anno>2016</x1_anno><x2_anno>2016</x2_anno><x3_anno>2016</x3_anno><x1_città/regione>Barcelona</x1_città/regione><x2_città/regione>Barcelona</x2_città/regione><x3_città/regione>Cataluña</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>metropolitan area</x2_geo><x3_geo>region</x3_geo><x1_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x1_fonte><x2_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x2_fonte><x3_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Istat, Institut d'Estadística de Catalunya, Insee data</x3_fonte><x3_note>data for Lyon refer to 2014</x3_note><X1 indice (media=1)>0,692804086292559</X1 indice (media=1)><X2 indice (media=1)>1,13043760823758</X2 indice (media=1)><X3 indice (media=1)>1,08940231039679</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,970881334975641</Score di dimensione (media X123 indicizzati)></row>
<row _id="8"><city>Lyon</city><regione>Rhône-Alpes</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>36,9309747649678</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>109,724723437098</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>0,486</X3 = households with home ownership (% of total households)><x1_anno>2016</x1_anno><x2_anno>2016</x2_anno><x3_anno>2014</x3_anno><x1_città/regione>Lyon</x1_città/regione><x2_città/regione>Lyon</x2_città/regione><x3_città/regione>Rhône-Alpes</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>metropolitan area</x2_geo><x3_geo>region</x3_geo><x1_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x1_fonte><x2_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x2_fonte><x3_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Istat, Institut d'Estadística de Catalunya, Insee data</x3_fonte><x3_note>data for Lyon refer to 2014</x3_note><X1 indice (media=1)>1,19370580366666</X1 indice (media=1)><X2 indice (media=1)>0,836047830181423</X2 indice (media=1)><X3 indice (media=1)>0,732295328980412</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,920682987609497</Score di dimensione (media X123 indicizzati)></row>
<row _id="9"><city>München</city><regione>Bayern</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>n.a.</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>n.a.</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>n.a.</X3 = households with home ownership (% of total households)><x1_anno xsi:nil="true" /><x2_anno xsi:nil="true" /><x3_anno xsi:nil="true" /><x1_città/regione /><x2_città/regione /><x3_città/regione /><x1_geo /><x2_geo /><x3_geo /><x1_fonte /><x2_fonte /><x3_fonte /><x3_note /><X1 indice (media=1) /><X2 indice (media=1) /><X3 indice (media=1) /><Score di dimensione (media X123 indicizzati)>n.a.</Score di dimensione (media X123 indicizzati)></row>
<row _id="10"><city>Stuttgart</city><regione>Baden-Württemberg</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>n.a.</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>n.a.</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>n.a.</X3 = households with home ownership (% of total households)><x1_anno xsi:nil="true" /><x2_anno xsi:nil="true" /><x3_anno xsi:nil="true" /><x1_città/regione /><x2_città/regione /><x3_città/regione /><x1_geo /><x2_geo /><x3_geo /><x1_fonte /><x2_fonte /><x3_fonte /><x3_note /><X1 indice (media=1) /><X2 indice (media=1) /><X3 indice (media=1) /><Score di dimensione (media X123 indicizzati)>n.a.</Score di dimensione (media X123 indicizzati)></row>
<row _id="11"><city>Milano</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>28,5773852567729</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>111,729423525492</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>0,803</X3 = households with home ownership (% of total households)><x1_anno>2015</x1_anno><x2_anno>2015</x2_anno><x3_anno>2015</x3_anno><x1_città/regione>Milano</x1_città/regione><x2_città/regione>Milano</x2_città/regione><x3_città/regione>Lombardia</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>metropolitan area</x2_geo><x3_geo>region</x3_geo><x1_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x1_fonte><x2_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x2_fonte><x3_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Istat, Institut d'Estadística de Catalunya, Insee data</x3_fonte><x3_note>data for Lyon refer to 2013</x3_note><X1 indice (media=1)>1,10701718890288</X1 indice (media=1)><X2 indice (media=1)>1,03251075776913</X2 indice (media=1)><X3 indice (media=1)>1,1961271102284</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,11188501896681</Score di dimensione (media X123 indicizzati)></row>
<row _id="12"><city>Barcelona</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>17,4217200830067</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>120,461067533958</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>0,725</X3 = households with home ownership (% of total households)><x1_anno>2015</x1_anno><x2_anno>2015</x2_anno><x3_anno>2015</x3_anno><x1_città/regione>Barcelona</x1_città/regione><x2_città/regione>Barcelona</x2_città/regione><x3_città/regione>Cataluña</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>metropolitan area</x2_geo><x3_geo>region</x3_geo><x1_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x1_fonte><x2_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x2_fonte><x3_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Istat, Institut d'Estadística de Catalunya, Insee data</x3_fonte><x3_note>data for Lyon refer to 2013</x3_note><X1 indice (media=1)>0,674874325234919</X1 indice (media=1)><X2 indice (media=1)>1,11320137701049</X2 indice (media=1)><X3 indice (media=1)>1,07994041708044</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,956005373108617</Score di dimensione (media X123 indicizzati)></row>
<row _id="13"><city>Lyon</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>31,4451806475809</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>92,4436767246132</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>0,486</X3 = households with home ownership (% of total households)><x1_anno>2015</x1_anno><x2_anno>2015</x2_anno><x3_anno>2013</x3_anno><x1_città/regione>Lyon</x1_città/regione><x2_città/regione>Lyon</x2_città/regione><x3_città/regione>Rhône-Alpes</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>metropolitan area</x2_geo><x3_geo>region</x3_geo><x1_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x1_fonte><x2_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Osservatorio del Mercato Immobiliare dell'Agenzia delle Entrate, Instituto Nacional de Estadìstica de Transmisiones de Derechos de la Propiedad, Conseil général de l'environnement et du développement durable (CGEDD) data</x2_fonte><x3_fonte>estimates by Unione Confcommercio Milano, Lodi, Monza e Brianza on Istat, Institut d'Estadística de Catalunya, Insee data</x3_fonte><x3_note>data for Lyon refer to 2013</x3_note><X1 indice (media=1)>1,2181084858622</X1 indice (media=1)><X2 indice (media=1)>0,854287865220373</X2 indice (media=1)><X3 indice (media=1)>0,723932472691162</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,932109607924578</Score di dimensione (media X123 indicizzati)></row>
<row _id="14"><city>München</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>n.a.</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>n.a.</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>n.a.</X3 = households with home ownership (% of total households)><x1_anno xsi:nil="true" /><x2_anno xsi:nil="true" /><x3_anno xsi:nil="true" /><x1_città/regione /><x2_città/regione /><x3_città/regione /><x1_geo /><x2_geo /><x3_geo /><x1_fonte /><x2_fonte /><x3_fonte /><x3_note /><X1 indice (media=1) /><X2 indice (media=1) /><X3 indice (media=1) /><Score di dimensione (media X123 indicizzati)>n.a.</Score di dimensione (media X123 indicizzati)></row>
<row _id="15"><city>Stuttgart</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = buying and selling of residential real estate per 1,0_3>n.a.</X1 = buying and selling of residential real estate per 1,0_3><X2 = buying and selling of residential real estate dynamic_4>n.a.</X2 = buying and selling of residential real estate dynamic_4><X3 = households with home ownership (% of total households)>n.a.</X3 = households with home ownership (% of total households)><x1_anno xsi:nil="true" /><x2_anno xsi:nil="true" /><x3_anno xsi:nil="true" /><x1_città/regione /><x2_città/regione /><x3_città/regione /><x1_geo /><x2_geo /><x3_geo /><x1_fonte /><x2_fonte /><x3_fonte /><x3_note /><X1 indice (media=1) /><X2 indice (media=1) /><X3 indice (media=1) /><Score di dimensione (media X123 indicizzati)>n.a.</Score di dimensione (media X123 indicizzati)></row>
</data>
