<data>
<row _id="1"><city>Milano</city><regione>Lombardia</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>36,34</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>0,8628</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>0,7835</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2017</x1_anno><x2_anno>2018</x2_anno><x3_anno>2018</x3_anno><x1_città/regione>Lombardia</x1_città/regione><x2_città/regione>Lombardia</x2_città/regione><x3_città/regione>Lombardia</x3_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x3_geo>region</x3_geo><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte>Politecnico di Milano-Assolombarda</x2_fonte><x3_fonte>Politecnico di Milano-Assolombarda</x3_fonte><x1_note>number of startups born in 2017 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note>startups born over the period 2015-2016 that, as of 2018, had survived as a share of the total number of startups born over the period 2015-2016</x2_note><x3_note>startups born over the period 2013-2014 that, as of 2018, had survived as a share of the total number of startups born over the period 2013-2014</x3_note><X1 indice (media=1)>1,00470002764722</X1 indice (media=1)><X2 indice (media=1)>0,926446902179749</X2 indice (media=1)><X3 indice (media=1)>0,865913298151576</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,932353409326182</Score di dimensione (media X123 indicizzati)></row>
<row _id="2"><city>Barcellona</city><regione>Cataluña</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>46,67</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>n.a.</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>0,9707</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2017</x1_anno><x2_anno xsi:nil="true" /><x3_anno>2018</x3_anno><x1_città/regione>Cataluña</x1_città/regione><x2_città/regione /><x3_città/regione>Lombardia</x3_città/regione><x1_geo>region</x1_geo><x2_geo /><x3_geo>region</x3_geo><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte /><x3_fonte>Politecnico di Milano-Assolombarda</x3_fonte><x1_note>number of startups born in 2017 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note /><x3_note>startups born over the period 2013-2014 that, as of 2018, had survived as a share of the total number of startups born over the period 2013-2014</x3_note><X1 indice (media=1)>1,29029582526956</X1 indice (media=1)><X2 indice (media=1) /><X3 indice (media=1)>1,07280413339596</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,18154997933276</Score di dimensione (media X123 indicizzati)></row>
<row _id="3"><city>Lione</city><regione>Rhône-Alpes</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>48,03</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>n.a.</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>n.a.</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2017</x1_anno><x2_anno xsi:nil="true" /><x3_anno xsi:nil="true" /><x1_città/regione>Rhône-Alpes</x1_città/regione><x2_città/regione /><x3_città/regione /><x1_geo>region</x1_geo><x2_geo /><x3_geo /><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte /><x3_fonte /><x1_note>number of startups born in 2017 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note /><x3_note /><X1 indice (media=1)>1,32789604644733</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="4"><city>Monaco</city><regione>Bayern</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>28,54</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>0,9688</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>0,9395</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2017</x1_anno><x2_anno>2018</x2_anno><x3_anno>2018</x3_anno><x1_città/regione>Bayern</x1_città/regione><x2_città/regione>Bayern</x2_città/regione><x3_città/regione>Bayern</x3_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x3_geo>region</x3_geo><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte>Politecnico di Milano-Assolombarda</x2_fonte><x3_fonte>Politecnico di Milano-Assolombarda</x3_fonte><x1_note>number of startups born in 2017 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note>startups born over the period 2015-2016 that, as of 2018, had survived as a share of the total number of startups born over the period 2015-2016</x2_note><x3_note>startups born over the period 2013-2014 that, as of 2018, had survived as a share of the total number of startups born over the period 2013-2014</x3_note><X1 indice (media=1)>0,789051700304119</X1 indice (media=1)><X2 indice (media=1)>1,04026629442715</X2 indice (media=1)><X3 indice (media=1)>1,0383223275219</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,95588010741772</Score di dimensione (media X123 indicizzati)></row>
<row _id="5"><city>Stoccarda</city><regione>Baden-W.</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>21,27</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>0,9623</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>0,9256</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2017</x1_anno><x2_anno>2018</x2_anno><x3_anno>2018</x3_anno><x1_città/regione>Baden-Württemberg</x1_città/regione><x2_città/regione>Baden-Württemberg</x2_città/regione><x3_città/regione>Baden-Württemberg</x3_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x3_geo>region</x3_geo><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte>Politecnico di Milano-Assolombarda</x2_fonte><x3_fonte>Politecnico di Milano-Assolombarda</x3_fonte><x1_note>number of startups born in 2017 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note>startups born over the period 2015-2016 that, as of 2018, had survived as a share of the total number of startups born over the period 2015-2016</x2_note><x3_note>startups born over the period 2013-2014 that, as of 2018, had survived as a share of the total number of startups born over the period 2013-2014</x3_note><X1 indice (media=1)>0,588056400331767</X1 indice (media=1)><X2 indice (media=1)>1,03328680339311</X2 indice (media=1)><X3 indice (media=1)>1,02296024093057</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,881434481551813</Score di dimensione (media X123 indicizzati)></row>
<row _id="6"><city>Milano</city><regione>Lombardia</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>41,14</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>0,888</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>0,7685</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2016</x1_anno><x2_anno>2017</x2_anno><x3_anno>2017</x3_anno><x1_città/regione>Lombardia</x1_città/regione><x2_città/regione>Lombardia</x2_città/regione><x3_città/regione>Lombardia</x3_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x3_geo>region</x3_geo><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte>Politecnico di Milano-Assolombarda</x2_fonte><x3_fonte>Politecnico di Milano-Assolombarda</x3_fonte><x1_note>number of startups born in 2016 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note>startups born over the period 2014-2015 that, as of 2017, had survived as a share of the total number of startups born over the period 2014-2015</x2_note><x3_note>startups born over the period 2012-2013 that, as of 2017, had survived as a share of the total number of startups born over the period 2012-2013</x3_note><X1 indice (media=1)>1,05807314438558</X1 indice (media=1)><X2 indice (media=1)>0,952125663432156</X2 indice (media=1)><X3 indice (media=1)>0,876657635819193</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,962285481212308</Score di dimensione (media X123 indicizzati)></row>
<row _id="7"><city>Barcellona</city><regione>Cataluña</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>55,32</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>n.a.</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>n.a.</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2016</x1_anno><x2_anno xsi:nil="true" /><x3_anno xsi:nil="true" /><x1_città/regione>Cataluña</x1_città/regione><x2_città/regione /><x3_città/regione /><x1_geo>region</x1_geo><x2_geo /><x3_geo /><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte /><x3_fonte /><x1_note>number of startups born in 2016 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note /><x3_note /><X1 indice (media=1)>1,42276631860501</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="8"><city>Lione</city><regione>Rhône-Alpes</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>48,8</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>0,9032</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>0,8598</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2016</x1_anno><x2_anno>2017</x2_anno><x3_anno>2017</x3_anno><x1_città/regione>Rhône-Alpes</x1_città/regione><x2_città/regione>Rhône-Alpes</x2_città/regione><x3_città/regione>Rhône-Alpes</x3_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x3_geo>region</x3_geo><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte>Politecnico di Milano-Assolombarda</x2_fonte><x3_fonte>Politecnico di Milano-Assolombarda</x3_fonte><x1_note>number of startups born in 2016 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note>startups born over the period 2014-2015 that, as of 2017, had survived as a share of the total number of startups born over the period 2014-2015</x2_note><x3_note>startups born over the period 2012-2013 that, as of 2017, had survived as a share of the total number of startups born over the period 2012-2013</x3_note><X1 indice (media=1)>1,25507947122062</X1 indice (media=1)><X2 indice (media=1)>0,968423309923337</X2 indice (media=1)><X3 indice (media=1)>0,980807072579495</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,06810328457448</Score di dimensione (media X123 indicizzati)></row>
<row _id="9"><city>Monaco</city><regione>Bayern</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>27,8</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>0,9708</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>0,9386</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2016</x1_anno><x2_anno>2017</x2_anno><x3_anno>2017</x3_anno><x1_città/regione>Bayern</x1_città/regione><x2_città/regione>Bayern</x2_città/regione><x3_città/regione>Bayern</x3_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x3_geo>region</x3_geo><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte>Politecnico di Milano-Assolombarda</x2_fonte><x3_fonte>Politecnico di Milano-Assolombarda</x3_fonte><x1_note>number of startups born in 2016 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note>startups born over the period 2014-2015 that, as of 2017, had survived as a share of the total number of startups born over the period 2014-2015</x2_note><x3_note>startups born over the period 2012-2013 that, as of 2017, had survived as a share of the total number of startups born over the period 2012-2013</x3_note><X1 indice (media=1)>0,714983797129777</X1 indice (media=1)><X2 indice (media=1)>1,04090494826569</X2 indice (media=1)><X3 indice (media=1)>1,07069727648653</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,942195340627332</Score di dimensione (media X123 indicizzati)></row>
<row _id="10"><city>Stoccarda</city><regione>Baden-W.</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>21,35</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>0,9686</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>0,9396</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2016</x1_anno><x2_anno>2017</x2_anno><x3_anno>2017</x3_anno><x1_città/regione>Baden-Württemberg</x1_città/regione><x2_città/regione>Baden-Württemberg</x2_città/regione><x3_città/regione>Baden-Württemberg</x3_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x3_geo>region</x3_geo><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte>Politecnico di Milano-Assolombarda</x2_fonte><x3_fonte>Politecnico di Milano-Assolombarda</x3_fonte><x1_note>number of startups born in 2016 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note>startups born over the period 2014-2015 that, as of 2017, had survived as a share of the total number of startups born over the period 2014-2015</x2_note><x3_note>startups born over the period 2012-2013 that, as of 2017, had survived as a share of the total number of startups born over the period 2012-2013</x3_note><X1 indice (media=1)>0,54909726865902</X1 indice (media=1)><X2 indice (media=1)>1,03854607837881</X2 indice (media=1)><X3 indice (media=1)>1,07183801511479</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,886493787384206</Score di dimensione (media X123 indicizzati)></row>
<row _id="11"><city>Milano</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>37,45</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>0,9054</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>0,7787</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2014</x1_anno><x2_anno>2015</x2_anno><x3_anno>2015</x3_anno><x1_città/regione>Lombardia</x1_città/regione><x2_città/regione>Lombardia</x2_città/regione><x3_città/regione>Lombardia</x3_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x3_geo>region</x3_geo><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte>Politecnico di Milano-Assolombarda</x2_fonte><x3_fonte>Politecnico di Milano-Assolombarda</x3_fonte><x1_note>number of startups born in 2014 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note>startups born over the period 2012-2013 that, as of 2015, had survived as a share of the total number of startups born over the period 2012-2013</x2_note><x3_note>startups born over the period 2010-2011 that, as of 2015, had survived as a share of the total number of startups born over the period 2010-2011</x3_note><X1 indice (media=1)>1,04016220419953</X1 indice (media=1)><X2 indice (media=1)>0,950910580376835</X2 indice (media=1)><X3 indice (media=1)>0,936680539851324</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,975917774809231</Score di dimensione (media X123 indicizzati)></row>
<row _id="12"><city>Barcellona</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>50,52</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>0,9715</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>0,7808</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2014</x1_anno><x2_anno>2015</x2_anno><x3_anno>2015</x3_anno><x1_città/regione>Cataluña</x1_città/regione><x2_città/regione>Cataluña</x2_città/regione><x3_città/regione>Cataluña</x3_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x3_geo>region</x3_geo><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte>Politecnico di Milano-Assolombarda</x2_fonte><x3_fonte>Politecnico di Milano-Assolombarda</x3_fonte><x1_note>number of startups born in 2014 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note>startups born over the period 2012-2013 that, as of 2015, had survived as a share of the total number of startups born over the period 2012-2013</x2_note><x3_note>startups born over the period 2010-2011 that, as of 2015, had survived as a share of the total number of startups born over the period 2010-2011</x3_note><X1 indice (media=1)>1,40317742473059</X1 indice (media=1)><X2 indice (media=1)>1,0203331442855</X2 indice (media=1)><X3 indice (media=1)>0,93920658214449</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,12090571705353</Score di dimensione (media X123 indicizzati)></row>
<row _id="13"><city>Lione</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>43,43</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>0,95</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>0,849</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2014</x1_anno><x2_anno>2015</x2_anno><x3_anno>2015</x3_anno><x1_città/regione>Rhône-Alpes</x1_città/regione><x2_città/regione>Rhône-Alpes</x2_città/regione><x3_città/regione>Rhône-Alpes</x3_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x3_geo>region</x3_geo><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte>Politecnico di Milano-Assolombarda</x2_fonte><x3_fonte>Politecnico di Milano-Assolombarda</x3_fonte><x1_note>number of startups born in 2014 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note>startups born over the period 2012-2013 that, as of 2015, had survived as a share of the total number of startups born over the period 2012-2013</x2_note><x3_note>startups born over the period 2010-2011 that, as of 2015, had survived as a share of the total number of startups born over the period 2010-2011</x3_note><X1 indice (media=1)>1,20625486057105</X1 indice (media=1)><X2 indice (media=1)>0,997752431365135</X2 indice (media=1)><X3 indice (media=1)>1,02124281280824</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,07508336824814</Score di dimensione (media X123 indicizzati)></row>
<row _id="14"><city>Monaco</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>27,43</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>0,9678</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>0,8729</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2014</x1_anno><x2_anno>2015</x2_anno><x3_anno>2015</x3_anno><x1_città/regione>Bayern</x1_città/regione><x2_città/regione>Bayern</x2_città/regione><x3_città/regione>Bayern</x3_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x3_geo>region</x3_geo><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte>Politecnico di Milano-Assolombarda</x2_fonte><x3_fonte>Politecnico di Milano-Assolombarda</x3_fonte><x1_note>number of startups born in 2014 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note>startups born over the period 2012-2013 that, as of 2015, had survived as a share of the total number of startups born over the period 2012-2013</x2_note><x3_note>startups born over the period 2010-2011 that, as of 2015, had survived as a share of the total number of startups born over the period 2010-2011</x3_note><X1 indice (media=1)>0,761859793356294</X1 indice (media=1)><X2 indice (media=1)>1,01644716113177</X2 indice (media=1)><X3 indice (media=1)>1,04999157985902</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,942766178115694</Score di dimensione (media X123 indicizzati)></row>
<row _id="15"><city>Stoccarda</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = knowledge-intensive startups born per 100,000 inhabit_3>21,19</X1 = knowledge-intensive startups born per 100,000 inhabit_3><X2 = short-term survival rate of knowledge-intensive start_4>0,966</X2 = short-term survival rate of knowledge-intensive start_4><X3 = medium term survival rate of knowledge-intensive star_5>0,8753</X3 = medium term survival rate of knowledge-intensive star_5><x1_anno>2014</x1_anno><x2_anno>2015</x2_anno><x3_anno>2015</x3_anno><x1_città/regione>Baden-Württemberg</x1_città/regione><x2_città/regione>Baden-Württemberg</x2_città/regione><x3_città/regione>Baden-Württemberg</x3_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x3_geo>region</x3_geo><x1_fonte>Politecnico di Milano-Assolombarda</x1_fonte><x2_fonte>Politecnico di Milano-Assolombarda</x2_fonte><x3_fonte>Politecnico di Milano-Assolombarda</x3_fonte><x1_note>number of startups born in 2014 every 100,000 inhabitants (15-64 years old)</x1_note><x2_note>startups born over the period 2012-2013 that, as of 2015, had survived as a share of the total number of startups born over the period 2012-2013</x2_note><x3_note>startups born over the period 2010-2011 that, as of 2015, had survived as a share of the total number of startups born over the period 2010-2011</x3_note><X1 indice (media=1)>0,58854571714254</X1 indice (media=1)><X2 indice (media=1)>1,01455668284076</X2 indice (media=1)><X3 indice (media=1)>1,05287848533693</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,885326961773408</Score di dimensione (media X123 indicizzati)></row>
</data>
