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SELECT o.`option`, `wasusd` AS wasPrice, `nowusd` AS nowPrice, p.`product`, p.`name`, p.`seourl`, sum(s.`stock`) as `stock`, sum(s.`sold`) as `sold`, 0 + IF((MAX(pt.`supertop`)>0),990000,0) + IF(os.`us-usd-online`='N' AND sum(s.`sold`) < 1, ROUND( 10000/(sum(s.`sold`)+1) ) ,sum(s.`sold`)) + IF(os.`us-usd-online`='N' AND sum(s.`sold`) > 1, ROUND( 1000+(sum(s.`sold`)+1) ) ,sum(s.`sold`)) + IF(os.`us-usd-online`='N' AND GROUP_CONCAT(DISTINCT om.`modifierID`) NOT LIKE('%95%'),910000,0) + IF(os.`us-usd-online` IN ('H','N','E','F','R','V') AND (GROUP_CONCAT(DISTINCT om.`modifierID`) NOT LIKE('%95%')),10000,0) + IF( GROUP_CONCAT(DISTINCT om.`modifierID`) NOT LIKE('%95%'),3500,0) + (1/(SELECT `rank` FROM `promotext` WHERE `option` = o.`option` AND `type`='New Arrivals' AND `site` = 'us' AND `currency` = 'usd' AND `from` < NOW() AND `to` > NOW() AND `from` < NOW() LIMIT 1)*10000000000)+990000 AS `rank`, 0 + IF(os.`us-usd-online`='N' AND sum(s.`sold`) < 10, ROUND ( 910000/(sum(s.`sold`)+1) ) ,sum(s.`sold`)) + IF(os.`us-usd-online`='N' AND sum(s.`sold`) > 10, ROUND ( 91000+(sum(s.`sold`)+1) ) ,0) + IF(os.`us-usd-online`='E', 80000, 0) + IF(os.`us-usd-online`='F', 70000, 0) + IF(os.`us-usd-online`='R', 60000, 0) + IF(os.`us-usd-online`='U', 50000, 0) + IF(os.`us-usd-online`='S', 40000, 0) + IF(os.`us-usd-online`='C', 30000, 0) AS `newarrivalrank`, c.`basecolour`, c.`colour` AS colour, CONCAT( CONCAT('d', GROUP_CONCAT(DISTINCT CAST(bsm.`dress-size` AS UNSIGNED) SEPARATOR ',d')), ',', CONCAT('t', GROUP_CONCAT(DISTINCT CAST(bsm.`trouser-size` AS UNSIGNED) SEPARATOR ',t')), ',', CONCAT('l', GROUP_CONCAT(DISTINCT CAST(bsm.`leg-length` AS UNSIGNED) SEPARATOR ',l')), ',', CONCAT('s', GROUP_CONCAT(DISTINCT IF( ROUND(bsm.`shoe-size`) = bsm.`shoe-size`, CAST(bsm.`shoe-size` AS UNSIGNED), CAST(bsm.`shoe-size` AS char)) SEPARATOR ',s')) ) AS sizes, ob.`brandID`, os.`us-usd-online` AS status, GROUP_CONCAT(DISTINCT om.`modifierID`) AS modifiers, GROUP_CONCAT(DISTINCT od.`departmentID`) AS departments, MAX(pt.`promotext`) AS 'promoText', MAX(pt.`colourcode`) AS 'promoTextColour', MAX(pt.`badge`) AS 'badge', o.rating FROM `option-us` AS o JOIN `product-us` AS p ON (p.`product` = o.`product`) JOIN `colour` AS c ON (o.`colour` = c.`colour`) JOIN `sku-us-usd` AS s ON (o.`option` = s.`option`) LEFT JOIN `base-size-map` AS bsm ON s.`base-size` = bsm.`base-size` JOIN `option-brand` AS ob ON (ob.`option` = o.`option`) JOIN `option-department` AS od ON (o.`option` = od.`option`) JOIN `option-status` AS os ON (o.`option` = os.`option`) LEFT JOIN `option-modifier` AS om ON (om.`option` = o.`option` AND om.`modifierID` IN (SELECT `modifierID` FROM `modifier` WHERE `refinement` = 1) ) LEFT JOIN `promotext` AS pt ON (pt.`option` = o.`option` AND `site` = 'us' AND `currency` = 'usd' AND `from` < NOW() AND `to` > NOW() ) WHERE o.`option` = s.`option` AND s.`stock`+s.`backorderable`> 0 AND os.`us-usd-online` IN ('N','E') GROUP BY o.`option` ORDER BY `rank` DESC, `stock` DESC, pt.`from` DESC
Tall womens clothing: get updated!

Our New Arrivals page is your one-stop-shop for all the latest wardrobe must-haves and top trends.Whether you're looking for a classic, easy-to-wear maxi skirt, a show-stopping dress, a floral tunic or an edgy biker jacket, we have everything you need - and the shoes to match!Our exclusive designs for tall women are stylish and on-trend, with extra length for a flattering fit. Check our New Arrivals page regularly for updates on the latest additions to our collection, and make sure you're the first to get your hands on our best-selling items.

Based on 264 customer reviews our new arrivals are rated 3.9 out of 5.
Discover 86 new arrivals with prices ranging from US $19.00 to US $169.00