<data>
<row _id="1"><city>Milano</city><regione>Lombardia</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = long-term unemployment rate>0,033</X1 = long-term unemployment rate><X2 = severe material deprivation rate>0,064</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,12</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2017</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>Eurostat</x1_fonte><x2_fonte>Assolombarda on Eurostat and Baden Württemberg Statistisches Landesamt data</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>the severe material deprivation rate (% of total population) is defined as the enforced inability to pay for at least four of the following items: 1. to pay their rent, mortgage or utility bills,  2. to keep their home adequately warm,  3. to face unexpected expenses,  4. to eat meat or proteins regularly,  5. to go on holiday,  6. a television set,  7. a washing machine,  8. a car,  9. a telephone. To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,445443746818259</X1 indice (media=1)><X2 indice (media=1)>0,715534491118563</X2 indice (media=1)><X3 indice (media=1)>0,805944001889366</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,655640746608729</Score di dimensione (media X123 indicizzati)></row>
<row _id="2"><city>Barcelona</city><regione /><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = long-term unemployment rate>0,063</X1 = long-term unemployment rate><X2 = severe material deprivation rate>0,05</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,17</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2017</x1_anno><x2_anno>2017</x2_anno><x3_anno>2017</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>Eurostat</x1_fonte><x2_fonte>Assolombarda on Eurostat and Baden Württemberg Statistisches Landesamt data</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>the severe material deprivation rate (% of total population) is defined as the enforced inability to pay for at least four of the following items: 1. to pay their rent, mortgage or utility bills,  2. to keep their home adequately warm,  3. to face unexpected expenses,  4. to eat meat or proteins regularly,  5. to go on holiday,  6. a television set,  7. a washing machine,  8. a car,  9. a telephone. To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,233327676904802</X1 indice (media=1)><X2 indice (media=1)>0,91588414863176</X2 indice (media=1)><X3 indice (media=1)>0,568901648392493</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,572704491309685</Score di dimensione (media X123 indicizzati)></row>
<row _id="3"><city>Lyon</city><regione /><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = long-term unemployment rate>0,025</X1 = long-term unemployment rate><X2 = severe material deprivation rate>n.d.</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,084</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2017</x1_anno><x2_anno xsi:nil="true" /><x3_anno>2017</x3_anno><x1_città/regione>Rhône-Alpes</x1_città/regione><x2_città/regione /><x3_città/regione>Rhône-Alpes</x3_città/regione><x1_geo>region</x1_geo><x2_geo /><x3_geo>region</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte /><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note /><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,587985745800102</X1 indice (media=1)><X2 indice (media=1) /><X3 indice (media=1)>1,15134857412767</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,869667159963883</Score di dimensione (media X123 indicizzati)></row>
<row _id="4"><city>München</city><regione /><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = long-term unemployment rate>0,007</X1 = long-term unemployment rate><X2 = severe material deprivation rate>n.d.</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,071</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2017</x1_anno><x2_anno xsi:nil="true" /><x3_anno>2017</x3_anno><x1_città/regione>Bayern</x1_città/regione><x2_città/regione /><x3_città/regione>Bayern</x3_città/regione><x1_geo>region</x1_geo><x2_geo /><x3_geo>region</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte /><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note /><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>2,09994909214322</X1 indice (media=1)><X2 indice (media=1) /><X3 indice (media=1)>1,36215887643273</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,73105398428798</Score di dimensione (media X123 indicizzati)></row>
<row _id="5"><city>Stuttgart</city><regione /><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = long-term unemployment rate>0,009</X1 = long-term unemployment rate><X2 = severe material deprivation rate>3,34610778443114E-02</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,087</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2017</x1_anno><x2_anno>2015</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>Eurostat</x1_fonte><x2_fonte>Assolombarda on Eurostat and Baden Württemberg Statistisches Landesamt data</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>the severe material deprivation rate (% of total population) is defined as the enforced inability to pay for at least four of the following items: 1. to pay their rent, mortgage or utility bills,  2. to keep their home adequately warm,  3. to face unexpected expenses,  4. to eat meat or proteins regularly,  5. to go on holiday,  6. a television set,  7. a washing machine,  8. a car,  9. a telephone. To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>1,63329373833362</X1 indice (media=1)><X2 indice (media=1)>1,36858136024968</X2 indice (media=1)><X3 indice (media=1)>1,11164689915775</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,37117399924701</Score di dimensione (media X123 indicizzati)></row>
<row _id="6"><city>Milano</city><regione /><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = long-term unemployment rate>0,039</X1 = long-term unemployment rate><X2 = severe material deprivation rate>0,061</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,127</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2016</x1_anno><x2_anno>2016</x2_anno><x3_anno>2016</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>Eurostat</x1_fonte><x2_fonte>Assolombarda on Eurostat and Baden Württemberg Statistisches Landesamt data</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>the severe material deprivation rate (% of total population) is defined as the enforced inability to pay for at least four of the following items: 1. to pay their rent, mortgage or utility bills,  2. to keep their home adequately warm,  3. to face unexpected expenses,  4. to eat meat or proteins regularly,  5. to go on holiday,  6. a television set,  7. a washing machine,  8. a car,  9. a telephone. To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,440540186180674</X1 indice (media=1)><X2 indice (media=1)>0,76295021981923</X2 indice (media=1)><X3 indice (media=1)>0,784879489626169</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,662789965208691</Score di dimensione (media X123 indicizzati)></row>
<row _id="7"><city>Barcelona</city><regione /><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = long-term unemployment rate>0,084</X1 = long-term unemployment rate><X2 = severe material deprivation rate>0,055</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,18</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2016</x1_anno><x2_anno>2016</x2_anno><x3_anno>2016</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>Eurostat</x1_fonte><x2_fonte>Assolombarda on Eurostat and Baden Württemberg Statistisches Landesamt data</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>the severe material deprivation rate (% of total population) is defined as the enforced inability to pay for at least four of the following items: 1. to pay their rent, mortgage or utility bills,  2. to keep their home adequately warm,  3. to face unexpected expenses,  4. to eat meat or proteins regularly,  5. to go on holiday,  6. a television set,  7. a washing machine,  8. a car,  9. a telephone. To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,204536515012456</X1 indice (media=1)><X2 indice (media=1)>0,846181152890418</X2 indice (media=1)><X3 indice (media=1)>0,553776084347353</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,534831250750076</Score di dimensione (media X123 indicizzati)></row>
<row _id="8"><city>Lyon</city><regione /><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = long-term unemployment rate>0,032</X1 = long-term unemployment rate><X2 = severe material deprivation rate>n.d.</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,078</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2016</x1_anno><x2_anno xsi:nil="true" /><x3_anno>2016</x3_anno><x1_città/regione>Rhône-Alpes</x1_città/regione><x2_città/regione /><x3_città/regione>Rhône-Alpes</x3_città/regione><x1_geo>region</x1_geo><x2_geo /><x3_geo>region</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte /><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note /><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,536908351907696</X1 indice (media=1)><X2 indice (media=1) /><X3 indice (media=1)>1,27794481003235</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,907426580970025</Score di dimensione (media X123 indicizzati)></row>
<row _id="9"><city>München</city><regione /><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = long-term unemployment rate>0,009</X1 = long-term unemployment rate><X2 = severe material deprivation rate>n.d.</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,076</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2016</x1_anno><x2_anno xsi:nil="true" /><x3_anno>2016</x3_anno><x1_città/regione>Bayern</x1_città/regione><x2_città/regione /><x3_città/regione>Bayern</x3_città/regione><x1_geo>region</x1_geo><x2_geo /><x3_geo>region</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte /><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note /><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>1,90900747344959</X1 indice (media=1)><X2 indice (media=1) /><X3 indice (media=1)>1,31157493661215</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,61029120503087</Score di dimensione (media X123 indicizzati)></row>
<row _id="10"><city>Stuttgart</city><regione /><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = long-term unemployment rate>0,009</X1 = long-term unemployment rate><X2 = severe material deprivation rate>3,34610778443114E-02</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,093</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2016</x1_anno><x2_anno>2015</x2_anno><x3_anno>2016</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>Eurostat</x1_fonte><x2_fonte>Assolombarda on Eurostat and Baden Württemberg Statistisches Landesamt data</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>the severe material deprivation rate (% of total population) is defined as the enforced inability to pay for at least four of the following items: 1. to pay their rent, mortgage or utility bills,  2. to keep their home adequately warm,  3. to face unexpected expenses,  4. to eat meat or proteins regularly,  5. to go on holiday,  6. a television set,  7. a washing machine,  8. a car,  9. a telephone. To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>1,90900747344959</X1 indice (media=1)><X2 indice (media=1)>1,39086862729035</X2 indice (media=1)><X3 indice (media=1)>1,07182467938197</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,45723359337397</Score di dimensione (media X123 indicizzati)></row>
<row _id="11"><city>Milano</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = long-term unemployment rate>0,044</X1 = long-term unemployment rate><X2 = severe material deprivation rate>0,064</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,131</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2015</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>Eurostat</x1_fonte><x2_fonte>Assolombarda on Eurostat and Baden Württemberg Statistisches Landesamt data</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>the severe material deprivation rate (% of total population) is defined as the enforced inability to pay for at least four of the following items: 1. to pay their rent, mortgage or utility bills,  2. to keep their home adequately warm,  3. to face unexpected expenses,  4. to eat meat or proteins regularly,  5. to go on holiday,  6. a television set,  7. a washing machine,  8. a car,  9. a telephone. To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,416455542480978</X1 indice (media=1)><X2 indice (media=1)>0,85884444706759</X2 indice (media=1)><X3 indice (media=1)>0,729612952491962</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,66830431401351</Score di dimensione (media X123 indicizzati)></row>
<row _id="12"><city>Barcelona</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = long-term unemployment rate>0,104</X1 = long-term unemployment rate><X2 = severe material deprivation rate>0,067</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,189</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2015</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>Eurostat</x1_fonte><x2_fonte>Assolombarda on Eurostat and Baden Württemberg Statistisches Landesamt data</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>the severe material deprivation rate (% of total population) is defined as the enforced inability to pay for at least four of the following items: 1. to pay their rent, mortgage or utility bills,  2. to keep their home adequately warm,  3. to face unexpected expenses,  4. to eat meat or proteins regularly,  5. to go on holiday,  6. a television set,  7. a washing machine,  8. a car,  9. a telephone. To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,176192729511183</X1 indice (media=1)><X2 indice (media=1)>0,820388725557101</X2 indice (media=1)><X3 indice (media=1)>0,505710564954747</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,500764006674343</Score di dimensione (media X123 indicizzati)></row>
<row _id="13"><city>Lyon</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = long-term unemployment rate>0,034</X1 = long-term unemployment rate><X2 = severe material deprivation rate>n.d.</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,087</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2015</x1_anno><x2_anno xsi:nil="true" /><x3_anno>2015</x3_anno><x1_città/regione>Rhône-Alpes</x1_città/regione><x2_città/regione /><x3_città/regione>Rhône-Alpes</x3_città/regione><x1_geo>region</x1_geo><x2_geo /><x3_geo>region</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte /><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note /><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>0,538942466740089</X1 indice (media=1)><X2 indice (media=1) /><X3 indice (media=1)>1,09861260662583</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,818777536682959</Score di dimensione (media X123 indicizzati)></row>
<row _id="14"><city>München</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = long-term unemployment rate>0,009</X1 = long-term unemployment rate><X2 = severe material deprivation rate>n.d.</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,062</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2015</x1_anno><x2_anno xsi:nil="true" /><x3_anno>2015</x3_anno><x1_città/regione>Bayern</x1_città/regione><x2_città/regione /><x3_città/regione>Bayern</x3_città/regione><x1_geo>region</x1_geo><x2_geo /><x3_geo>region</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte /><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note /><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>2,03600487435145</X1 indice (media=1)><X2 indice (media=1) /><X3 indice (media=1)>1,54160156091044</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,78880321763094</Score di dimensione (media X123 indicizzati)></row>
<row _id="15"><city>Stuttgart</city><regione /><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = long-term unemployment rate>0,01</X1 = long-term unemployment rate><X2 = severe material deprivation rate>4,16167664670659E-02</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,085</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2015</x1_anno><x2_anno>2014</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>Eurostat</x1_fonte><x2_fonte>Assolombarda on Eurostat and Baden Württemberg Statistisches Landesamt data</x2_fonte><x3_fonte>Eurostat</x3_fonte><x1_note>long-term unemployment rate refers to the share of people over total labor force (i.e. economically active population) who are out of work and have been actively seeking employment for at least a year. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>the severe material deprivation rate (% of total population) is defined as the enforced inability to pay for at least four of the following items: 1. to pay their rent, mortgage or utility bills,  2. to keep their home adequately warm,  3. to face unexpected expenses,  4. to eat meat or proteins regularly,  5. to go on holiday,  6. a television set,  7. a washing machine,  8. a car,  9. a telephone. To compute the final score, the reciprocal of the indicator is used</x2_note><x3_note>the indicator 'early leavers from education and training' is expressed as a percentage of the people aged 18 to 24 who have completed at most lower secondary education and are not involved in further education or training, out of the total population aged 18 to 24. To compute the final score, the reciprocal of the indicator is used</x3_note><X1 indice (media=1)>1,8324043869163</X1 indice (media=1)><X2 indice (media=1)>1,32076682737531</X2 indice (media=1)><X3 indice (media=1)>1,12446231501702</X3 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,42587784310288</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 = long-term unemployment rate>0,012</X1 = long-term unemployment rate><X2 = severe material deprivation rate>0,03</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,181</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2007</x1_anno><x2_anno>2007</x2_anno><x3_anno>Lombardia</x3_anno><x1_città/regione>Lombardia</x1_città/regione><x2_città/regione>regione</x2_città/regione><x3_città/regione>regione</x3_città/regione><x1_geo>regione</x1_geo><x2_geo>Eurostat</x2_geo><x3_geo>Eurostat</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>lfst_r_lfu2ltu</x2_fonte><x3_fonte>ilc_mddd21</x3_fonte><x1_note /><x2_note>1,43010588113107</x2_note><x3_note>1,11764705882353</x3_note><X1 indice (media=1)>0,795242916705691</X1 indice (media=1)><X2 indice (media=1)>1,1143319522201</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 = long-term unemployment rate>0,013</X1 = long-term unemployment rate><X2 = severe material deprivation rate>0,038</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,312</X3 = early leavers from education and training aged 18-24 _5><x1_anno>2007</x1_anno><x2_anno>2007</x2_anno><x3_anno>Cataluña</x3_anno><x1_città/regione>Cataluña</x1_città/regione><x2_città/regione>regione</x2_città/regione><x3_città/regione>regione</x3_città/regione><x1_geo>regione</x1_geo><x2_geo>Eurostat</x2_geo><x3_geo>Eurostat</x3_geo><x1_fonte>Eurostat</x1_fonte><x2_fonte>lfst_r_lfu2ltu</x2_fonte><x3_fonte>ilc_mddd21</x3_fonte><x1_note /><x2_note>1,32009773642868</x2_note><x3_note>0,882352941176471</x3_note><X1 indice (media=1)>0,461342845909391</X1 indice (media=1)><X2 indice (media=1)>0,887931174504849</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 = long-term unemployment rate>0,021</X1 = long-term unemployment rate><X2 = severe material deprivation rate>nd</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,131</X3 = early leavers from education and training aged 18-24 _5><x1_anno xsi:nil="true" /><x2_anno>2007</x2_anno><x3_anno>Rhône-Alpes</x3_anno><x1_città/regione>Rhône-Alpes</x1_città/regione><x2_città/regione>regione</x2_città/regione><x3_città/regione /><x1_geo>regione</x1_geo><x2_geo>Eurostat</x2_geo><x3_geo /><x1_fonte>Eurostat</x1_fonte><x2_fonte>lfst_r_lfu2ltu</x2_fonte><x3_fonte /><x1_note /><x2_note>0,817203360646328</x2_note><x3_note /><X1 indice (media=1)>1,09877074750939</X1 indice (media=1)><X2 indice (media=1)>0,957987054077859</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 = long-term unemployment rate>0,025</X1 = long-term unemployment rate><X2 = severe material deprivation rate>nd</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,105</X3 = early leavers from education and training aged 18-24 _5><x1_anno xsi:nil="true" /><x2_anno>2007</x2_anno><x3_anno>Bayern</x3_anno><x1_città/regione>Bayern</x1_città/regione><x2_città/regione>regione</x2_città/regione><x3_città/regione /><x1_geo>regione</x1_geo><x2_geo>Eurostat</x2_geo><x3_geo /><x1_fonte>Eurostat</x1_fonte><x2_fonte>lfst_r_lfu2ltu</x2_fonte><x3_fonte /><x1_note /><x2_note>0,686450822942916</x2_note><x3_note /><X1 indice (media=1)>1,37084731355933</X1 indice (media=1)><X2 indice (media=1)>1,02864906825112</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 = long-term unemployment rate>0,023</X1 = long-term unemployment rate><X2 = severe material deprivation rate>nd</X2 = severe material deprivation rate><X3 = early leavers from education and training aged 18-24 _5>0,113</X3 = early leavers from education and training aged 18-24 _5><x1_anno xsi:nil="true" /><x2_anno>2007</x2_anno><x3_anno>Baden-Württemberg</x3_anno><x1_città/regione>Baden-Württemberg</x1_città/regione><x2_città/regione>regione</x2_città/regione><x3_città/regione /><x1_geo>regione</x1_geo><x2_geo>Eurostat</x2_geo><x3_geo /><x1_fonte>Eurostat</x1_fonte><x2_fonte>lfst_r_lfu2ltu</x2_fonte><x3_fonte /><x1_note /><x2_note>0,746142198850996</x2_note><x3_note /><X1 indice (media=1)>1,27379617631619</X1 indice (media=1)><X2 indice (media=1)>1,0099691875836</X2 indice (media=1)><X3 indice (media=1) /><Score di dimensione (media X123 indicizzati) /></row>
</data>
