{"id":52282,"date":"2025-09-09T05:46:29","date_gmt":"2025-09-09T05:46:29","guid":{"rendered":"https:\/\/www.europesays.com\/ie\/52282\/"},"modified":"2025-09-09T05:46:29","modified_gmt":"2025-09-09T05:46:29","slug":"euro-area-unemployment-at-6-3-euro-indicators","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ie\/52282\/","title":{"rendered":"Euro area unemployment at 6.3% &#8211; Euro indicators"},"content":{"rendered":"<p>          Overview<\/p>\n<p align=\"left\" height=\"150%\" marginleft=\"0\" style=\"text-align:left;line-height:150%;margin-left:0\">In September 2024, the <strong>euro area<\/strong> seasonally-adjusted unemployment rate was 6.3%, stable compared with August 2024 and down from 6.6% in September 2023. The <strong>EU<\/strong> unemployment rate was 5.9% in September 2024, also stable compared with August 2024 and down from 6.1% in September 2023. These figures are published by <strong>Eurostat, the statistical office of the European Union<\/strong>.<\/p>\n<p align=\"left\" height=\"150%\" marginleft=\"0\" style=\"text-align:left;line-height:150%;margin-left:0\">Eurostat estimates that 13.042 million persons in the <strong>EU<\/strong>, of whom 10.884 million in the <strong>euro area<\/strong>, were unemployed in September 2024.<\/p>\n<ul>\n<li>\n<p align=\"left\" height=\"1.5\" marginleft=\"0\" style=\"text-align:left;line-height:1.5;margin-left:0\">Compared with August 2024, unemployment increased by 61 thousand in the <strong>EU<\/strong> and by 13 thousand in the <strong>euro area<\/strong>.<\/p>\n<\/li>\n<li>\n<p align=\"left\" height=\"1.5\" marginleft=\"0\" style=\"text-align:left;line-height:1.5;margin-left:0\">Compared with September 2023, unemployment decreased by 226 thousand in the <strong>EU<\/strong> and by 330 thousand in the <strong>euro area<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<p align=\"left\" height=\"1.5\" marginleft=\"0\" style=\"text-align:left;line-height:1.5;margin-left:0\"><img decoding=\"async\" class=\"chart\" 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Myriad Pro Condensed Italic, arial, sans-serif&quot;,&quot;width&quot;:&quot;220&quot;,&quot;overflow&quot;:&quot;break&quot;,&quot;text&quot;:&quot;&quot;}},{&quot;type&quot;:&quot;text&quot;,&quot;left&quot;:&quot;10&quot;,&quot;bottom&quot;:&quot;35&quot;,&quot;cursor&quot;:&quot;pointer&quot;,&quot;style&quot;:{&quot;fill&quot;:&quot;#333&quot;,&quot;font&quot;:&quot;14px Myriad Pro Condensed Italic, arial, sans-serif&quot;,&quot;width&quot;:&quot;220&quot;,&quot;overflow&quot;:&quot;break&quot;,&quot;text&quot;:&quot;&quot;,&quot;link&quot;:&quot;&quot;}},{&quot;type&quot;:&quot;image&quot;,&quot;right&quot;:20,&quot;bottom&quot;:0,&quot;cursor&quot;:&quot;default&quot;,&quot;style&quot;:{&quot;width&quot;:150,&quot;height&quot;:91,&quot;image&quot;:&quot;assets\/ngx-editor\/images\/watermark.png&quot;},&quot;z&quot;:1}]}\"\/><\/p>\n<p>Youth unemployment<\/p>\n<p align=\"left\" height=\"150%\" marginleft=\"0\" style=\"text-align:left;line-height:150%;margin-left:0\">In September 2024, 2.861 million young persons (under 25) were unemployed in the <strong>EU<\/strong>, of whom 2.287 million were in the <strong>euro area<\/strong>. In September 2024, the youth unemployment rate was 14.8% in the <strong>EU<\/strong>, up from 14.5% in August 2024, and 14.4% in the <strong>euro area<\/strong>, up from 14.3% in the previous month.<\/p>\n<ul>\n<li>\n<p align=\"left\" height=\"1.5\" marginleft=\"0\" style=\"text-align:left;line-height:1.5;margin-left:0\">Compared with August 2024, youth unemployment increased by 44\u00a0thousand in the <strong>EU<\/strong> and by 10 thousand in the <strong>euro area<\/strong>.<\/p>\n<\/li>\n<li>\n<p align=\"left\" height=\"1.5\" marginleft=\"0\" style=\"text-align:left;line-height:1.5;margin-left:0\">Compared with September 2023, youth unemployment decreased by 16 thousand in the <strong>EU<\/strong> and by 68 thousand in the <strong>euro area<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<p align=\"left\" height=\"120%\" marginleft=\"0\" style=\"text-align:left;line-height:120%;margin-left:0\">\u00a0 \u00a0<img decoding=\"async\" class=\"chart\" 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\" 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Myriad Pro Condensed Italic, arial, sans-serif&quot;,&quot;width&quot;:&quot;220&quot;,&quot;overflow&quot;:&quot;break&quot;,&quot;text&quot;:&quot;&quot;}},{&quot;type&quot;:&quot;text&quot;,&quot;left&quot;:&quot;10&quot;,&quot;bottom&quot;:&quot;35&quot;,&quot;cursor&quot;:&quot;pointer&quot;,&quot;style&quot;:{&quot;fill&quot;:&quot;#333&quot;,&quot;font&quot;:&quot;14px Myriad Pro Condensed Italic, arial, sans-serif&quot;,&quot;width&quot;:&quot;220&quot;,&quot;overflow&quot;:&quot;break&quot;,&quot;text&quot;:&quot;&quot;,&quot;link&quot;:&quot;&quot;}},{&quot;type&quot;:&quot;image&quot;,&quot;right&quot;:20,&quot;bottom&quot;:0,&quot;cursor&quot;:&quot;default&quot;,&quot;style&quot;:{&quot;width&quot;:150,&quot;height&quot;:91,&quot;image&quot;:&quot;assets\/ngx-editor\/images\/watermark.png&quot;},&quot;z&quot;:1}]}\"\/>\u00a0<\/p>\n<p>Unemployment by sex<\/p>\n<p align=\"left\" height=\"150%\" marginleft=\"0\" style=\"text-align:left;line-height:150%;margin-left:0\">In September 2024, the unemployment rate for women was 6.1% in the <strong>EU<\/strong>, stable compared with the previous month, and the unemployment rate for men was 5.8%, up from 5.7% in August 2024. In the<strong> euro area<\/strong>, the unemployment rate for women was 6.5%, stable compared with the previous month, and the unemployment rate for men was 6.1%, also stable compared with August 2024.<\/p>\n<p>Additional labour market indicators<\/p>\n<p align=\"left\" height=\"150%\" marginleft=\"0\" style=\"text-align:left;line-height:150%;margin-left:0\">The estimates in this News Release are based on the globally used International Labour Organisation (ILO) standard definition of unemployment, which counts as unemployed people without a job who have been actively seeking work in the last four weeks and are available to start work within the next two weeks.<\/p>\n<p align=\"left\" height=\"1.5\" marginleft=\"0\" style=\"text-align:left;line-height:1.5;margin-left:0\">To capture in full the labour market situation, the data on unemployment have been complemented by additional indicators, e.g. underemployed part-time workers, persons seeking work but not immediately available and persons available to work but not seeking, released together with <a href=\"https:\/\/ec.europa.eu\/eurostat\/statistics-explained\/index.php?title=EU_labour_market_-_quarterly_statistics\" title=\"https:\/\/ec.europa.eu\/eurostat\/statistics-explained\/index.php?title=EU_labour_market_-_quarterly_statistics\" target=\"_blank\" rel=\"nofollow noopener\">LFS data for the second quarter of 2024<\/a>.<\/p>\n<p align=\"left\" height=\"1.5\" marginleft=\"0\" style=\"text-align:left;line-height:1.5;margin-left:0\">LFS data for the third quarter of 2024 will be released on 13 December 2024.<\/p>\n<p>Tables<\/p>\n<tr>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\">Seasonally adjusted unemployment, totals<\/p>\n<\/tr>\n<tr>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>Rates (%)<\/strong><\/p>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>Number of persons (in thousands)<\/strong><\/p>\n<\/tr>\n<tr>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>2023<\/strong><\/p>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>2024<\/strong><\/p>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>2023<\/strong><\/p>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>2024<\/strong><\/p>\n<\/tr>\n<tr>\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>Sep<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>Jun<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>Jul<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>Aug<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>Sep<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>Sep<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>Jun<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>Jul<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>Aug<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>Sep<\/strong><\/p>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.3<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>6.3<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">11 214<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">11 081<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">10 972<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">10 871<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>10 884<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.9<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>5.9<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">13 268<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">13 169<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">13 094<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">12 981<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>13 042<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.4<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>5.5<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">287<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">293<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">289<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">288<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>294<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.0<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>4.0<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">135<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">122<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">123<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">123<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>122<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2.7<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>2.8<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">136<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">139<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">139<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">140<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>145<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.9<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>6.4<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">149<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">202<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">193<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">193<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>211<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.5<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>3.5<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">1 361<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">1 555<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">1 560<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">1 556<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>1 547<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7.6<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>7.6<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">49<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">56<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">59<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">58<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>58<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.4<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>4.3<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">127<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">128<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">136<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">125<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>124<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">10.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">9.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">9.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">9.5<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>9.3<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">504<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">443<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">457<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">445<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>438<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">12.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">11.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">11.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">11.3<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>11.2<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2 910<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2 816<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2 797<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2 762<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>2 744<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7.5<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>7.6<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2 276<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2 349<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2 346<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2 350<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>2 379<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.9<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>4.8<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">104<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">88<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">87<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">86<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>84<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.1<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>6.1<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">1 975<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">1 731<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">1 612<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">1 567<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>1 552<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.3<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>5.0<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">28<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">26<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">27<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">27<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>26<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7.0<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>6.9<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">63<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">65<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">65<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">66<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>65<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7.2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7.2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">8.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7.9<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>7.9<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">111<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">115<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">124<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">127<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>123<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.9<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>5.9<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">19<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">20<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">20<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">20<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>20<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.4<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>4.5<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">203<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">212<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">215<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">217<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>220<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.0<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>3.0<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">11<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">10<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">10<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>10<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.7<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>3.7<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">371<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">370<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">370<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">374<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>377<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.3<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>5.6<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">251<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">248<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">239<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">252<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>267<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">2.9<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>2.9<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">510<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">509<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">507<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">511<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>513<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6.4<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>6.4<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">356<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">349<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">349<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">346<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>352<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.5<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>5.5<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">455<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">431<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">451<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">452<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>451<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.3<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>3.4<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">38<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">36<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">34<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">34<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>35<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">5.3<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>5.2<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">159<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">147<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">147<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">146<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>145<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">8.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">8.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">8.4<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>8.4<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">211<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">239<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">239<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">239<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>238<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">8.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">8.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">8.5<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>8.5<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">450<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">481<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">483<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">485<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>487<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>:<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>:<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.0<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>4.0<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">108<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">120<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">120<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">120<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>120<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>:<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">212<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">215<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>:<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">3.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">4.2<\/p>\n<\/td>\n<td style=\"width:61px;max-width:61px\" colspan=\"1\" data-colwidth=\"61\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>4.1<\/strong><\/p>\n<\/td>\n<td style=\"width:70px;max-width:70px\" colspan=\"1\" data-colwidth=\"70\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6 279<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">6 807<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7 104<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\">7 070<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"0\" style=\"text-align:right;line-height:1.5;margin-left:0\"><strong>6 785<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<\/tr>\n<tr>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\">Seasonally adjusted youth (under 25s) unemployment<\/p>\n<\/tr>\n<tr>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>Rates (%)<\/strong><\/p>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>Number of persons (in thousands)<\/strong><\/p>\n<\/tr>\n<tr>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>2023<\/strong><\/p>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>2024<\/strong><\/p>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>2023<\/strong><\/p>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>2024<\/strong><\/p>\n<\/tr>\n<tr>\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>Sep<\/strong><\/p>\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>Jun<\/strong><\/p>\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>Jul<\/strong><\/p>\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>Aug<\/strong><\/p>\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>Sep<\/strong><\/p>\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>Sept<\/strong><\/p>\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>Jun<\/strong><\/p>\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>Jul<\/strong><\/p>\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>Aug<\/strong><\/p>\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>Sep<\/strong><\/p>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">14.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">14.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">14.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">14.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>14.4<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">2 355<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">2 306<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">2 294<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">2 277<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>2 287<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">14.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">14.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">14.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">14.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>14.8<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">2 877<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">2 853<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">2 853<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">2 817<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>2 861<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">17.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">16.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">16.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">16.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>16.5<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">75<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">70<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">63<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">63<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>63<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">13.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>11.1<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">16<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">14<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">14<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">13<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>13<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">8.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">10.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>12.7<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">22<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">30<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">35<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">33<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>35<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">12.2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">14.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">13.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">15.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>15.3<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">56<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">76<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">67<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">75<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>79<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">5.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">6.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">6.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">6.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>6.9<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">261<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">319<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">319<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">318<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>316<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">19.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">23.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">21.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">20.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>20.8<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">12<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">14<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">14<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">12<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>13<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">10.2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">10.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>10.8<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">42<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">37<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">42<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">39<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>40<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">23.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">22.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">19.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">19.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>16.3<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">63<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">54<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">48<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">50<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>36<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">28.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">26.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">26.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">26.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>26.5<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">494<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">477<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">487<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">485<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>488<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">17.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">17.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">17.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">17.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>17.7<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">599<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">599<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">589<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">587<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>604<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">18.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">16.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">16.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">16.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>16.3<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">23<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">21<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">20<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">20<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>20<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">22.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">20.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">19.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">18.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>18.3<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">347<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">298<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">290<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">262<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>266<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">16.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">15.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">15.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">15.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>15.9<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>5<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">13.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">17.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">16.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">16.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>16.6<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">10<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">10<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>10<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">15.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">21.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">19.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">20.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>19.8<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">15<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">23<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">20<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">22<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>21<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">19.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">20.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">20.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">20.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>20.3<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>5<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">13.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">14.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">15.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">16.2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>17.2<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">40<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">46<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">49<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">51<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>54<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">8.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">8.7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">8.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">9.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>9.4<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>3<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">8.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">8.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">8.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">8.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>9.0<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">160<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">157<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">156<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">159<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>161<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">9.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">9.9<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">13.2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>10.0<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">61<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">50<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">51<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">70<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>53<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">10.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">10.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">10.2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>10.1<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">124<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">110<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">109<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">110<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>108<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">22.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">21.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">20.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">20.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>21.6<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">84<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">76<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">75<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">74<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>81<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">21.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">23.2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>:<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">102<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">114<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>:<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">10.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11.5<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>11.5<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">7<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>7<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">20.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">21.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">21.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">21.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>21.4<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">29<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">30<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">30<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">30<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>30<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">17.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">18.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">18.1<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">18.2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>18.4<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">55<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">59<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">59<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">59<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>60<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">22.2<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">24.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">24.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">24.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>24.7<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">151<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">167<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">167<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">168<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>169<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right border-top\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">8.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">8.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">8.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right border-top\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>:<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right border-top\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>:<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">10.4<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">12.0<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">11.3<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>12.4<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">45<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">54<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">50<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">49<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>53<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">8.6<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">6.8<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>:<\/strong><\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">51<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">41<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\">:<\/p>\n<\/td>\n<td style=\"width:64px;max-width:64px\" colspan=\"1\" data-colwidth=\"64\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"normal\" marginleft=\"0\" style=\"text-align:right;line-height:normal;margin-left:0\"><strong>:<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<\/tr>\n<tr>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\">Seasonally adjusted unemployment rates (%), by sex<\/p>\n<\/tr>\n<tr>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>Males<\/strong><\/p>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>Females<\/strong><\/p>\n<\/tr>\n<tr>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>2023<\/strong><\/p>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>2024<\/strong><\/p>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>2023<\/strong><\/p>\n<p align=\"center\" height=\"1.5\" marginleft=\"0\" style=\"text-align:center;line-height:1.5;margin-left:0\"><strong>2024<\/strong><\/p>\n<\/tr>\n<tr>\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>Sep<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>Jun<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>Jul<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>Aug<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>Sep<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>Sep<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>Jun<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>Jul<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>Aug<\/strong><\/p>\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>Sep<\/strong><\/p>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.2<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.2<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.2<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.1<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>6.1<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.9<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.7<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.5<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>6.5<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>5.8<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.4<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.2<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.1<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.1<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel highlight\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>6.1<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>5.9<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.1<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.1<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.0<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.9<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>5.1<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.2<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>4.4<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.3<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.8<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.7<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>3.6<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.4<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.4<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.2<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>2.4<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.1<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.1<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.1<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.3<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>3.3<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.2<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>5.9<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.9<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.9<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.3<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>7.1<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>3.8<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.8<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.2<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.2<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.2<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>3.1<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.2<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.4<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>7.5<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.1<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.4<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.7<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>7.7<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.4<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>4.3<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.5<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.4<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.4<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>4.3<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>7.6<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">13.4<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">11.6<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">12.2<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">11.7<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>11.4<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">10.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">10.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">10.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">10.2<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>10.2<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">13.7<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">12.9<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">12.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">12.5<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>12.4<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.4<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>7.5<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.3<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.6<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.6<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>7.7<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>4.7<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.6<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.3<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.2<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.1<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>5.0<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.1<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.1<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>5.7<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.9<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.6<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.6<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>6.6<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>4.5<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.4<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.7<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.0<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.1<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>5.6<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.0<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>8.5<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.5<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.7<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.4<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.3<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>5.1<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.4<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>8.3<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.6<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.0<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.5<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>7.5<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.9<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.9<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.9<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>5.9<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.8<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.7<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.8<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>5.8<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.1<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.4<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.4<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>4.5<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.1<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.3<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.3<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>4.4<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.4<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.2<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.2<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>3.3<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.3<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.6<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.7<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>2.6<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>3.5<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.8<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.8<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.9<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>3.9<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.0<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>6.1<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.9<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.7<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.6<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>5.1<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.9<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.9<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.9<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>2.8<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.9<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.8<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.9<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>3.0<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.2<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.1<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>6.2<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.9<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.7<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.6<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>6.7<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.0<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>5.7<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.1<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.6<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.1<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.1<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>5.2<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>3.5<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.0<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.5<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.4<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.3<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>3.4<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.8<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>4.7<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.9<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">5.9<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.0<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.0<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>5.9<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.1<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">9.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">9.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">9.4<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>9.3<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">6.7<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.2<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.4<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>7.4<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">7.7<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.4<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.4<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>8.3<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.1<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.5<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">8.6<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>8.7<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.0<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.5<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">:<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>:<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.1<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.6<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">2.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">:<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel border-top\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>:<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.1<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.3<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>4.4<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.3<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.8<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.6<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">3.7<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>3.7<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.0<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.0<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">:<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">:<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>:<\/strong><\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel border-right\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.4<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">4.5<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">:<\/p>\n<\/td>\n<td style=\"width:66px;max-width:66px\" colspan=\"1\" data-colwidth=\"66\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\">:<\/p>\n<\/td>\n<td style=\"width:65px;max-width:65px\" colspan=\"1\" data-colwidth=\"65\" rowspan=\"1\" class=\"datalabel numeric datalabel\">\n<p align=\"right\" height=\"1.5\" marginleft=\"9\" style=\"text-align:right;line-height:1.5;margin-left:9pt\"><strong>:<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr>\n<\/tr>\n<p> Notes for users<br \/>\n Revisions and timetable<\/p>\n<p align=\"left\" height=\"150%\" marginleft=\"0\" style=\"text-align:left;line-height:150%;margin-left:0\">The data in this News Release can be subject to revisions, caused by updates to the seasonally adjusted series whenever new monthly data are added; the inclusion of the most recent LFS data in the calculation process; update of seasonal adjustment models with complete annual data.<\/p>\n<p align=\"left\" height=\"1.5\" marginleft=\"0\" style=\"text-align:left;line-height:1.5;margin-left:0\">Compared with the rates published in <a href=\"https:\/\/ec.europa.eu\/eurostat\/en\/web\/products-euro-indicators\/w\/3-02102024-ap\" title=\"https:\/\/ec.europa.eu\/eurostat\/en\/web\/products-euro-indicators\/w\/3-02102024-ap\" target=\"_blank\" rel=\"nofollow noopener\">News Release<\/a> of 2 October 2024, the August 2024 unemployment rate for the euro area was revised from 6.4% to 6.3%, while the unemployment rate for the EU remained unchanged. Among EU Member States, the rate has been revised by more than 0.1 percentage points (pp) downwards for Estonia (by 0.3 pp). The rate has not been revised by more than 0.1 percentage points (pp) upwards for any Member States.<\/p>\n<p> Country notes<\/p>\n<p align=\"left\" height=\"150%\" marginleft=\"0\" style=\"text-align:left;line-height:150%;margin-left:0\">Germany, the Netherlands, Finland, Sweden as well as Iceland and Norway: the trend component is used instead of the more volatile seasonally adjusted data.<\/p>\n<p align=\"left\" height=\"1.5\" marginleft=\"0\" style=\"text-align:left;line-height:1.5;margin-left:0\">Estonia and Portugal: 3-month moving averages of LFS data are used instead of pure monthly indicators.<\/p>\n<p> Methods and definitions<\/p>\n<p align=\"left\" height=\"150%\" marginleft=\"0\" style=\"text-align:left;line-height:150%;margin-left:0\">Eurostat publishes harmonised unemployment rates for individual EU Member States, the euro area and the EU. These unemployment rates are based on the definition recommended by the International Labour Organisation (ILO). The measurement is based on a harmonised data source, the European Union Labour Force Survey (LFS).<\/p>\n<p align=\"left\" height=\"150%\" marginleft=\"0\" style=\"text-align:left;line-height:150%;margin-left:0\">Based on the ILO definition, Eurostat defines <strong>unemployed persons<\/strong> as persons aged 15 to 74 who:<\/p>\n<p align=\"left\" height=\"150%\" marginleft=\"0\" style=\"text-align:left;line-height:150%;margin-left:0\">The <strong>unemployment rate<\/strong> is the number of people unemployed as a percentage of the labour force.<\/p>\n<p align=\"left\" height=\"150%\" marginleft=\"0\" style=\"text-align:left;line-height:150%;margin-left:0\">The <strong>labour force<\/strong> is the total number of people employed plus unemployed. In this news release unemployment rates are based on employment and unemployment data covering persons aged 15 to 74.<\/p>\n<p align=\"left\" height=\"150%\" marginleft=\"0\" style=\"text-align:left;line-height:150%;margin-left:0\">The <strong>youth unemployment rate<\/strong> is the number of people aged 15 to 24 unemployed as a percentage of the labour force of the same age. Therefore, the youth unemployment rate should not be interpreted as the share of jobless people in the overall youth population.<\/p>\n<p align=\"left\" height=\"150%\" marginleft=\"0\" style=\"text-align:left;line-height:150%;margin-left:0\">When data for the most recent month are not available for a Member State, EU and EA aggregates are calculated using the latest data available for that Member State.<\/p>\n<p> Geographical information<\/p>\n<p align=\"left\" height=\"150%\" marginleft=\"0\" style=\"text-align:left;line-height:150%;margin-left:0\"><strong>Euro area<\/strong> (EA20): Belgium, Germany, Estonia, Ireland, Greece, Spain, France, Croatia, Italy, Cyprus, Latvia, Lithuania, Luxembourg, Malta, the Netherlands, Austria, Portugal, Slovenia, Slovakia and Finland.<\/p>\n<p align=\"left\" height=\"1.5\" marginleft=\"0\" style=\"text-align:left;line-height:1.5;margin-left:0\"><strong>European Union<\/strong> (EU27): Belgium, Bulgaria, Czechia, Denmark, Germany, Estonia, Ireland, Greece, Spain, France, Croatia, Italy, Cyprus, Latvia, Lithuania, Luxembourg, Hungary, Malta, the Netherlands, Austria, Poland, Portugal, Romania, Slovenia, Slovakia, Finland and Sweden.<\/p>\n<p>For more information<\/p>\n","protected":false},"excerpt":{"rendered":"Overview In September 2024, the euro area seasonally-adjusted unemployment rate was 6.3%, stable compared with August 2024 and&hellip;\n","protected":false},"author":2,"featured_media":52283,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[176],"tags":[79,38333,18,19,17,227,38334,5723],"class_list":{"0":"post-52282","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-jobs","8":"tag-business","9":"tag-ei_lm","10":"tag-eire","11":"tag-ie","12":"tag-ireland","13":"tag-jobs","14":"tag-lab","15":"tag-population-and-social-conditions"},"share_on_mastodon":{"url":"","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts\/52282","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/comments?post=52282"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/posts\/52282\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/media\/52283"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/media?parent=52282"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/categories?post=52282"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ie\/wp-json\/wp\/v2\/tags?post=52282"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}