{"id":10349,"date":"2014-02-15T19:22:03","date_gmt":"2014-02-16T02:22:03","guid":{"rendered":"http:\/\/www.denimsandjeans.com\/?p=10349"},"modified":"2014-02-15T19:22:04","modified_gmt":"2014-02-16T02:22:04","slug":"us-denim-imports-2012-2013-jan-dec-up-3-7-2","status":"publish","type":"post","link":"https:\/\/www.denimsandjeans.com\/recovery\/subscriber-reports\/us-denim-imports-2012-2013-jan-dec-up-3-7-2\/10349","title":{"rendered":"US Denim Imports 2012-2013 Jan- Dec Up 3.7%"},"content":{"rendered":"<p>US denim apparel imports rebound by 3.7% in&#160; calender year 2013 compared to calender year 2012. This increase has been witnessed after 2 years of continuous drop in imports . The total imports of denim apparel increased from $4.08 billion in 2012 to $4.20 billion in 2013 . The average price of imports remains more less the same. This report will analyse<\/p>\n<p>a) The total imports of denim apparel into US in 2012-2013    <br \/>b) The average price of imports of such apparel     <br \/>c) Women\u00e2\u20ac\u2122s jeans imports in same period with their average prices and growth rates.     <br \/>d) Men\u00e2\u20ac\u2122s jeans imports in same period with their average prices and growth rates.     <br \/>e) Main exporting countries for all denim apparel and their changes in import market share .     <br \/>f) Main exporting countries for women\u00e2\u20ac\u2122s denim apparel and their changes in import market share.     <br \/>g) Main exporting countries for men\u00e2\u20ac\u2122s denim apparel and their changes in import market share.<\/p>\n<p> <a href=\"http:\/\/www.denimsandjeans.com\/bdshow\"><img decoding=\"async\" src=\"http:\/\/www.denimsandjeans.com\/bdshow\/images\/lofofinal.PNG\" \/><\/a>   <\/p>\n<p>The countdown to the <strong><font color=\"#ff0000\">Denimsandjeans.com Bangladesh<\/font><\/strong> Show begins!!&#160; are you there ?? <a href=\"http:\/\/www.denimsandjeans.com\/bdshow\/invite.php\" target=\"_blank\">Invitations<\/a> close this week\u00e2\u20ac\u00a6<\/p>\n<p> [private_special]   <\/p>\n<p>Lets look at all denim apparel imports    <\/p>\n<table cellspacing=\"0\" cellpadding=\"0\" width=\"450\" border=\"1\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"112\">Details<\/td>\n<td valign=\"top\" width=\"112\">2012<\/td>\n<td valign=\"top\" width=\"112\">2013<\/td>\n<td valign=\"top\" width=\"112\">% change<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"112\">Qty (million pcs)<\/td>\n<td valign=\"top\" width=\"112\">503<\/td>\n<td valign=\"top\" width=\"112\">522<\/td>\n<td valign=\"top\" width=\"112\">+3.7%<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"112\">Value ($ billion)<\/td>\n<td valign=\"top\" width=\"112\">4.08<\/td>\n<td valign=\"top\" width=\"112\">4.20<\/td>\n<td valign=\"top\" width=\"112\">+3.6%<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"112\">Av price (US$ per pc)<\/td>\n<td valign=\"top\" width=\"112\">8.11<\/td>\n<td valign=\"top\" width=\"112\">8.10<\/td>\n<td valign=\"top\" width=\"112\">-1.1%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The qty of denim apparel imported increased from 503 million pcs to 522 million pcs thus showing a healthy increase of about 3.7%. The value increases almost by a similar amount and the average prices is more or less the same. Lets look at the main countries who have been exporting these apparel and changes in their exports over 2012 , if any. <\/p>\n<table cellspacing=\"0\" cellpadding=\"0\" border=\"0\">\n<tbody>\n<tr>\n<td valign=\"bottom\" width=\"147\">\n<p>Country<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>2012 (million pcs)<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>2013 (million pcs)<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>% change<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>China <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>151.5<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>158.0<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>4.20%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Mexico <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>117.0<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>120.9<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>3.30%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Bangladesh <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>66.5<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>74.4<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>11.80%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Nicaragua <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>26.1<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>23.7<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>-9.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Pakistan <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>18.9<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>20.8<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>10.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Egypt <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>19.9<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>20.5<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>2.70%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Vietnam <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>18.9<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>19.4<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>3.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Cambodia <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>17.5<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>15.6<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>-11.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Lesotho <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>14.8<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>14.8<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>0.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Indonesia <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>9.7<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>10.5<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>7.50%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Jordan <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>5.7<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>6.3<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>9.90%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Sri Lanka <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>4.6<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>5.4<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>17.10%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>India <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>6.3<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>4.8<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>-24.60%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Guatemala <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>4.7<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>4.4<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>-6.40%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Colombia <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>3.7<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>3.7<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>-0.60%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Kenya <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>3.6<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>3.5<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>-3.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Hong Kong <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>1.1<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>3.1<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>186.50%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Haiti <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>2.1<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>2.0<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>-5.10%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Philippines <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>2.3<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>1.9<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>-19.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>Turkey <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>1.1<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>1.5<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>40.90%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\">\n<p>All others<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>7.4<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"80\">\n<p>7.1<\/p>\n<\/td>\n<td valign=\"top\" width=\"80\">\n<p>-4.60%<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The exports from China , Mexico grow inspite of a huge base. However, the maxium growth is from Bangladesh at 11.8% . This is quite surprising since Bangladesh had been facing political crises during whole of 2013 . It shows the inherent strength of the country which enables it to compete with other countries effectively. The major losers are Cambodia, India, Nicaragua and Guatemala etc. <\/p>\n<p>Men\u00e2\u20ac\u2122s Jeans Imports in 2013 vs 2012<\/p>\n<table cellspacing=\"0\" cellpadding=\"0\" width=\"450\" border=\"1\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"112\">Details<\/td>\n<td valign=\"top\" width=\"112\">2012<\/td>\n<td valign=\"top\" width=\"112\">2013<\/td>\n<td valign=\"top\" width=\"112\">% change<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"112\">Qty (million pcs)<\/td>\n<td valign=\"top\" width=\"112\">264<\/td>\n<td valign=\"top\" width=\"112\">269<\/td>\n<td valign=\"top\" width=\"112\">+2.10%<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"112\">Value ($ billion)<\/td>\n<td valign=\"top\" width=\"112\">2.196<\/td>\n<td valign=\"top\" width=\"112\">2.198<\/td>\n<td valign=\"top\" width=\"112\">+0.10%<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"112\">Av price (US$ per pc)<\/td>\n<td valign=\"top\" width=\"112\">8.32<\/td>\n<td valign=\"top\" width=\"112\">8.16<\/td>\n<td valign=\"top\" width=\"112\">-2%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>There has been a marginal increase in men\u00e2\u20ac\u2122s jeans imports in 2013 of about 2.1%. The average prices have however fallen by about about 2%. Lets see which are the countries dominating the men\u00e2\u20ac\u2122s jeans import markets in US. <\/p>\n<table cellspacing=\"0\" cellpadding=\"0\" border=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p><b>Country <\/b><\/p>\n<\/td>\n<td valign=\"top\" width=\"71\">\n<p><b>2012              <br \/>(million pcs)<\/b><\/p>\n<\/td>\n<td valign=\"top\" width=\"71\">\n<p><b>2013              <br \/>(million pcs)<\/b><\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p><b>% change <\/b><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>Mexico <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>105.0<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>109.1<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>4.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>Bangladesh <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>42.0<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>46.1<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>9.70%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>China <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>35.3<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>36.9<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>4.50%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>Nicaragua <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>14.3<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>13.6<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>-4.70%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>Lesotho <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>9.7<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>12.1<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>24.50%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>Egypt <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>11.4<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>11.2<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>-2.10%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>Pakistan <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>8.8<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>9.1<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>3.70%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>Vietnam <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>7.8<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>6.5<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>-15.80%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>Cambodia <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>7.2<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>4.9<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>-32.20%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>Indonesia <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>3.9<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>3.6<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>-7.40%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>Colombia <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>3.1<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>3.0<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>-1.60%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>Guatemala <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>2.7<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>2.5<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>-7.30%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>Haiti <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>2.0<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>1.9<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>-6.00%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>India <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>3.1<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>1.8<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>-40.40%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>Madagascar <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>0.3<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>1.1<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>281.90%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"117\">\n<p>Al other<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>7.2<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"71\">\n<p>5.8<\/p>\n<\/td>\n<td valign=\"top\" width=\"155\">\n<p>-19.00%<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Mexico is easily the largest supplier of men\u00e2\u20ac\u2122s jeans and surpasses the second largest supplier \u00e2\u20ac\u201c Bangladesh \u00e2\u20ac\u201c by over 100% . Bangladesh dominates in the men\u00e2\u20ac\u2122s jeans category and even beats China in the same for exports to US increasing its share substantially. Other countries increasing their share significantly include Lesotho , China and Mexico. Vietnam , Cambodia and India are again big losers in the men\u00e2\u20ac\u2122s jeans&#160; and denim apparel category. <\/p>\n<p>Women\u00e2\u20ac\u2122s Jeans and other denim apparel \u00e2\u20ac\u201c 2012 vs 2013<\/p>\n<p>Lets see how the situation differs for the women\u00e2\u20ac\u2122s jeans category. <\/p>\n<p>Women\u00e2\u20ac\u2122s Jeans and other denim apparel Imports in 2013 vs 2012<\/p>\n<table cellspacing=\"0\" cellpadding=\"0\" width=\"450\" border=\"1\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"112\">Details<\/td>\n<td valign=\"top\" width=\"112\">2012<\/td>\n<td valign=\"top\" width=\"112\">2013<\/td>\n<td valign=\"top\" width=\"112\">% change<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"112\">Qty (million pcs)<\/td>\n<td valign=\"top\" width=\"112\">230<\/td>\n<td valign=\"top\" width=\"112\">245<\/td>\n<td valign=\"top\" width=\"112\">+6.8%<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"112\">Value ($ billion)<\/td>\n<td valign=\"top\" width=\"112\">1.822<\/td>\n<td valign=\"top\" width=\"112\">1.973<\/td>\n<td valign=\"top\" width=\"112\">+8.3%<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"112\">Av price (US$ per pc)<\/td>\n<td valign=\"top\" width=\"112\">7.92<\/td>\n<td valign=\"top\" width=\"112\">8.03<\/td>\n<td valign=\"top\" width=\"112\">+1.3%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&#160;<\/p>\n<p>The main growth driver for denim apparel imports has been women jeans as we can see from figures above . The imports increased by 6.8% and value by 8.3% in 2013 . We have seen in previous years that whenever the women jeans imports witnesses a&#160; good growth ,&#160; the whole denim market witnesses a fresh and increased impetus in US. <\/p>\n<p>&#160;<\/p>\n<p>Main exporting countries to US for women\u00e2\u20ac\u2122s jeans and other denim apparel <\/p>\n<table cellspacing=\"0\" cellpadding=\"0\" border=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p><b>Country <\/b><\/p>\n<\/td>\n<td valign=\"top\" width=\"73\">\n<p><b>2012<\/b><\/p>\n<\/td>\n<td valign=\"top\" width=\"73\">\n<p><b>2013<\/b><\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p><b>Percent Change              <br \/>YTD2012 &#8211; YTD2013 <\/b><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>China <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>112.0<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>118.4<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>5.70%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>Bangladesh <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>22.1<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>26.1<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>18.10%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>Vietnam <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>10.7<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>12.4<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>16.20%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>Mexico <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>11.8<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>11.4<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>-3.30%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>Pakistan <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>9.8<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>11.4<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>16.80%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>Cambodia <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>9.6<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>10.4<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>8.10%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>Nicaragua <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>11.8<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>10.1<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>-14.30%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>Egypt <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>8.5<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>9.3<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>9.40%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>Indonesia <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>5.6<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>6.8<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>21.20%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>Jordan <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>5.7<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>6.2<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>8.20%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>Sri Lanka <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>3.9<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>5.0<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>30.10%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>Hong Kong <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>0.8<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>2.9<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>261.40%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>Kenya <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>3.2<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>2.9<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>-10.50%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>India <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>2.8<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>2.7<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>-3.20%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>Lesotho <\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>5.1<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>2.7<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>-46.80%<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"94\">\n<p>All others<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>6.6<\/p>\n<\/td>\n<td valign=\"bottom\" width=\"73\">\n<p>6.9<\/p>\n<\/td>\n<td valign=\"top\" width=\"79\">\n<p>4.00%<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>China simply dominates the US market when it comes to women\u00e2\u20ac\u2122s jeans and other denim apparel . The second supplier \u00e2\u20ac\u201c Bangladesh \u00e2\u20ac\u201c is far far behind but the growth rate of exports from Bangladesh is tremendous. Pakistan is another country which is strongly picking up the market share in women\u00e2\u20ac\u2122s denim apparel. Indonesia , Egypt and Sri Lanka and Cambodia are other strong contenders. <\/p>\n<\/td>\n<\/tr>\n<p> [\/private_special]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>US denim apparel imports rebound by 3.7% in&#160; calender year 2013 compared to calender year 2012. This increase has been witnessed after 2 years of continuous drop in imports . The total imports of denim apparel increased from $4.08 billion in 2012 to $4.20 billion in 2013 . The average price of imports remains more [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1271],"tags":[1272],"class_list":["post-10349","post","type-post","status-publish","format-standard","hentry","category-subscriber-reports","tag-special-reports"],"_links":{"self":[{"href":"https:\/\/www.denimsandjeans.com\/recovery\/wp-json\/wp\/v2\/posts\/10349","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.denimsandjeans.com\/recovery\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.denimsandjeans.com\/recovery\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.denimsandjeans.com\/recovery\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.denimsandjeans.com\/recovery\/wp-json\/wp\/v2\/comments?post=10349"}],"version-history":[{"count":0,"href":"https:\/\/www.denimsandjeans.com\/recovery\/wp-json\/wp\/v2\/posts\/10349\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.denimsandjeans.com\/recovery\/wp-json\/wp\/v2\/media?parent=10349"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.denimsandjeans.com\/recovery\/wp-json\/wp\/v2\/categories?post=10349"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.denimsandjeans.com\/recovery\/wp-json\/wp\/v2\/tags?post=10349"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}