<data>
<row _id="1"><city>Milano</city><regione>Lombardia</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,214</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,142</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,353</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2018</x1_anno><x2_anno>2017</x2_anno><x3_anno>2018</x3_anno><x1_città/regione>Milano</x1_città/regione><x2_città/regione>Lombardia</x2_città/regione><x3_città/regione>Milano</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note>Data for Lyon refer to 2017</x1_note><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,911413969335605</X1 indice (media=1)><X2 indice (media=1)>0,511544141994106</X2 indice (media=1)><X3 indice (media=1)>0,839128073847935</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,754028728392549</Score di dimensione (media X123 indicizzati)></row>
<row _id="2"><city>Barcelona</city><regione /><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,239</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,137</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,293</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2018</x1_anno><x2_anno>2017</x2_anno><x3_anno>2018</x3_anno><x1_città/regione>Barcelona</x1_città/regione><x2_città/regione>Cataluña</x2_città/regione><x3_città/regione>Barcelona</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note>Data for Lyon refer to 2017</x1_note><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>1,01788756388416</X1 indice (media=1)><X2 indice (media=1)>0,530213636227468</X2 indice (media=1)><X3 indice (media=1)>1,01096317429461</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,853021458135412</Score di dimensione (media X123 indicizzati)></row>
<row _id="3"><city>Lyon</city><regione /><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,298</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,089</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,258</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2017</x1_anno><x2_anno>2017</x2_anno><x3_anno>2017</x3_anno><x1_città/regione>Lyon</x1_città/regione><x2_città/regione>Rhône-Alpes</x2_città/regione><x3_città/regione>Lyon</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note>Data for Lyon refer to 2017</x1_note><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>1,26916524701874</X1 indice (media=1)><X2 indice (media=1)>0,816171552395091</X2 indice (media=1)><X3 indice (media=1)>1,14810934135008</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,07781538025464</Score di dimensione (media X123 indicizzati)></row>
<row _id="4"><city>München</city><regione /><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,211</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,043</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,292</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2018</x1_anno><x2_anno>2017</x2_anno><x3_anno>2018</x3_anno><x1_città/regione>München</x1_città/regione><x2_città/regione>Bayern</x2_città/regione><x3_città/regione>München</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note>Data for Lyon refer to 2017</x1_note><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,898637137989779</X1 indice (media=1)><X2 indice (media=1)>1,68928530612007</X2 indice (media=1)><X3 indice (media=1)>1,0144253769463</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,20078260701872</Score di dimensione (media X123 indicizzati)></row>
<row _id="5"><city>Stuttgart</city><regione /><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,212</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,05</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,3</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2018</x1_anno><x2_anno>2017</x2_anno><x3_anno>2018</x3_anno><x1_città/regione>Stuttgart</x1_città/regione><x2_città/regione>Baden-Württemberg</x2_città/regione><x3_città/regione>Stuttgart</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note>Data for Lyon refer to 2017</x1_note><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,902896081771721</X1 indice (media=1)><X2 indice (media=1)>1,45278536326326</X2 indice (media=1)><X3 indice (media=1)>0,98737403356107</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,11435182619868</Score di dimensione (media X123 indicizzati)></row>
<row _id="6"><city>Milano</city><regione /><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,216</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,15</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,352</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2017</x1_anno><x2_anno>2016</x2_anno><x3_anno>2017</x3_anno><x1_città/regione>Milano</x1_città/regione><x2_città/regione>Lombardia</x2_città/regione><x3_città/regione>Milano</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note /><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,919931856899489</X1 indice (media=1)><X2 indice (media=1)>0,534927672427749</X2 indice (media=1)><X3 indice (media=1)>0,837666268836225</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,764175266054488</Score di dimensione (media X123 indicizzati)></row>
<row _id="7"><city>Barcelona</city><regione /><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,241</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,151</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,291</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2017</x1_anno><x2_anno>2016</x2_anno><x3_anno>2017</x3_anno><x1_città/regione>Barcelona</x1_città/regione><x2_città/regione>Cataluña</x2_città/regione><x3_città/regione>Barcelona</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note /><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>1,02640545144804</X1 indice (media=1)><X2 indice (media=1)>0,531385105060678</X2 indice (media=1)><X3 indice (media=1)>1,01325954168506</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,857016699397925</Score di dimensione (media X123 indicizzati)></row>
<row _id="8"><city>Lyon</city><regione /><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,298</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,098</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,258</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2017</x1_anno><x2_anno>2016</x2_anno><x3_anno>2017</x3_anno><x1_città/regione>Lyon</x1_città/regione><x2_città/regione>Rhône-Alpes</x2_città/regione><x3_città/regione>Lyon</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note /><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>1,26916524701874</X1 indice (media=1)><X2 indice (media=1)>0,818766845552677</X2 indice (media=1)><X3 indice (media=1)>1,14286250631919</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,07693153296354</Score di dimensione (media X123 indicizzati)></row>
<row _id="9"><city>München</city><regione /><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,209</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,047</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,29</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2017</x1_anno><x2_anno>2016</x2_anno><x3_anno>2017</x3_anno><x1_città/regione>München</x1_città/regione><x2_città/regione>Bayern</x2_città/regione><x3_città/regione>München</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note /><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,890119250425894</X1 indice (media=1)><X2 indice (media=1)>1,70721597583324</X2 indice (media=1)><X3 indice (media=1)>1,01675354010466</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,2046962554546</Score di dimensione (media X123 indicizzati)></row>
<row _id="10"><city>Stuttgart</city><regione /><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,21</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,057</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,298</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2017</x1_anno><x2_anno>2016</x2_anno><x3_anno>2017</x3_anno><x1_città/regione>Stuttgart</x1_città/regione><x2_città/regione>Baden-Württemberg</x2_città/regione><x3_città/regione>Stuttgart</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note /><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,894378194207836</X1 indice (media=1)><X2 indice (media=1)>1,40770440112566</X2 indice (media=1)><X3 indice (media=1)>0,98945814305487</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,09718024612945</Score di dimensione (media X123 indicizzati)></row>
<row _id="11"><city>Milano</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,217</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,17</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,35</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2016</x1_anno><x2_anno>2015</x2_anno><x3_anno>2016</x3_anno><x1_città/regione>Milano</x1_città/regione><x2_città/regione>Lombardia</x2_città/regione><x3_città/regione>Milano</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note /><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,924978687127025</X1 indice (media=1)><X2 indice (media=1)>0,422662328150832</X2 indice (media=1)><X3 indice (media=1)>0,835342846402872</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,72766128722691</Score di dimensione (media X123 indicizzati)></row>
<row _id="12"><city>Barcelona</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,242</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,161</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,287</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2016</x1_anno><x2_anno>2015</x2_anno><x3_anno>2016</x3_anno><x1_città/regione>Barcelona</x1_città/regione><x2_città/regione>Cataluña</x2_città/regione><x3_città/regione>Barcelona</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note /><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>1,03154305200341</X1 indice (media=1)><X2 indice (media=1)>0,446289414817649</X2 indice (media=1)><X3 indice (media=1)>1,01871078829619</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,832181085039081</Score di dimensione (media X123 indicizzati)></row>
<row _id="13"><city>Lyon</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,298</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,101</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,255</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2016</x1_anno><x2_anno>2015</x2_anno><x3_anno>2016</x3_anno><x1_città/regione>Lyon</x1_città/regione><x2_città/regione>Rhône-Alpes</x2_città/regione><x3_città/regione>Lyon</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note /><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>1,27024722932651</X1 indice (media=1)><X2 indice (media=1)>0,711411839461797</X2 indice (media=1)><X3 indice (media=1)>1,14654900486669</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,04273602455167</Score di dimensione (media X123 indicizzati)></row>
<row _id="14"><city>München</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,207</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,038</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,289</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2016</x1_anno><x2_anno>2015</x2_anno><x3_anno>2016</x3_anno><x1_città/regione>München</x1_città/regione><x2_città/regione>Bayern</x2_città/regione><x3_città/regione>München</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note /><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,882352941176471</X1 indice (media=1)><X2 indice (media=1)>1,89085778383267</X2 indice (media=1)><X3 indice (media=1)>1,01166088664708</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,26162387055207</Score di dimensione (media X123 indicizzati)></row>
<row _id="15"><city>Stuttgart</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3>0,209</X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3><X2 = 15-24 year old NEET (% of total population)>0,047</X2 = 15-24 year old NEET (% of total population)><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5>0,296</X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5><x1_anno>2016</x1_anno><x2_anno>2015</x2_anno><x3_anno>2016</x3_anno><x1_città/regione>Stuttgart</x1_città/regione><x2_città/regione>Baden-Württemberg</x2_città/regione><x3_città/regione>Stuttgart</x3_città/regione><x1_geo>metropolitan area</x1_geo><x2_geo>region</x2_geo><x3_geo>metropolitan area</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>Eurostat</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note /><x2_note>young people aged 15-24 neither in employment nor in education and training (NEET). To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>to compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,890878090366582</X1 indice (media=1)><X2 indice (media=1)>1,52877863373705</X2 indice (media=1)><X3 indice (media=1)>0,987736473787179</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,13579773263027</Score di dimensione (media X123 indicizzati)></row>
<row _id="16"><city>Milano</city><regione /><Milano Scoreboard edition>pre crisi (2008/2007)</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3 /><X2 = 15-24 year old NEET (% of total population) /><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5 /><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 /><x1_note /><x2_note /><x3_note /><X1 indice (media=1) /><X2 indice (media=1) /><X3 indice (media=1) /><Score di dimensione (media X123 indicizzati) /></row>
<row _id="17"><city>Barcelona</city><regione /><Milano Scoreboard edition>pre crisi (2008/2007)</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3 /><X2 = 15-24 year old NEET (% of total population) /><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5 /><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 /><x1_note /><x2_note /><x3_note /><X1 indice (media=1) /><X2 indice (media=1) /><X3 indice (media=1) /><Score di dimensione (media X123 indicizzati) /></row>
<row _id="18"><city>Lyon</city><regione /><Milano Scoreboard edition>pre crisi (2008/2007)</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3 /><X2 = 15-24 year old NEET (% of total population) /><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5 /><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 /><x1_note /><x2_note /><x3_note /><X1 indice (media=1) /><X2 indice (media=1) /><X3 indice (media=1) /><Score di dimensione (media X123 indicizzati) /></row>
<row _id="19"><city>München</city><regione /><Milano Scoreboard edition>pre crisi (2008/2007)</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3 /><X2 = 15-24 year old NEET (% of total population) /><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5 /><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 /><x1_note /><x2_note /><x3_note /><X1 indice (media=1) /><X2 indice (media=1) /><X3 indice (media=1) /><Score di dimensione (media X123 indicizzati) /></row>
<row _id="20"><city>Stuttgart</city><regione /><Milano Scoreboard edition>pre crisi (2008/2007)</Milano Scoreboard edition><X1 = 0-14 year olds over 65+ year olds (youth-dependency r_3 /><X2 = 15-24 year old NEET (% of total population) /><X3 = 65+ year olds over 15-64 year olds (old-age dependenc_5 /><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 /><x1_note /><x2_note /><x3_note /><X1 indice (media=1) /><X2 indice (media=1) /><X3 indice (media=1) /><Score di dimensione (media X123 indicizzati) /></row>
</data>
