"Figure 6: An upward trend in private new housing since the start of Quarter 1 (Jan to Mar) 2013 has been driven by growth in London and the North West","" "Value of private new housing work by subnational region, current prices, non-seasonally adjusted, Great Britain, Quarter 1 (Jan to Mar) 2010 to Quarter 3 (July to Sept) 2019","" "","" "Notes","1. These subnational output estimates are not designated as National Statistics. They are produced via a model using new orders data sourced from Barbour ABI. For further information on the model, please see the article “Construction development: improvements to regional and sub-sector level estimates, June 2018”. 2. The data used in this figure are sourced from a combination of the Monthly Business Survey for construction and allied trades and Value Added Tax (VAT) turnover data." "Unit","£ millions" "","" "","Wales","Scotland","South West","East","Yorkshire, Humber and North East","East and West Midlands","South East","North West","London" "Q1 2010","126","409","304","295","274","374","599","247","400" "Q2 2010","156","488","412","372","374","463","758","316","476" "Q3 2010","172","457","443","389","425","483","794","305","528" "Q4 2010","189","408","443","388","456","472","813","285","547" "Q1 2011","176","353","422","361","423","435","739","250","512" "Q2 2011","195","392","510","424","475","544","812","282","607" "Q3 2011","192","371","556","427","447","635","747","270","605" "Q4 2011","200","370","552","427","413","580","733","273","623" "Q1 2012","198","343","472","414","363","501","696","257","628" "Q2 2012","201","370","470","446","364","539","758","280","704" "Q3 2012","169","358","454","430","338","509","733","276","670" "Q4 2012","155","372","480","457","360","534","786","290","695" "Q1 2013","132","325","439","397","334","467","696","265","628" "Q2 2013","165","389","555","487","424","563","861","326","808" "Q3 2013","164","394","550","483","446","580","870","335","884" "Q4 2013","184","411","580","517","509","632","936","367","984" "Q1 2014","183","388","577","507","511","645","883","363","1039" "Q2 2014","216","434","688","577","606","780","999","446","1254" "Q3 2014","233","436","728","584","632","832","997","485","1324" "Q4 2014","239","439","738","559","650","867","962","527","1388" "Q1 2015","217","406","669","477","608","826","842","509","1289" "Q2 2015","238","475","771","534","732","978","954","660","1579" "Q3 2015","207","450","710","487","707","932","889","661","1504" "Q4 2015","196","473","714","519","762","1010","934","718","1622" "Q1 2016","172","454","682","506","771","987","898","738","1588" "Q2 2016","196","505","780","593","904","1124","1045","878","1855" "Q3 2016","199","493","802","593","896","1109","1022","879","1826" "Q4 2016","216","505","780","611","941","1147","1064","907","1895" "Q1 2017","213","487","703","591","893","1101","996","897","1802" "Q2 2017","251","540","785","678","1002","1241","1101","997","1990" "Q3 2017","254","538","770","701","980","1268","1107","1013","2015" "Q4 2017","269","575","806","781","1041","1395","1207","1146","2165" "Q1 2018","237","514","686","702","948","1256","1097","1090","1944" "Q2 2018","257","582","737","786","1054","1394","1260","1269","2149" "Q3 2018","256","589","718","816","1083","1388","1317","1331","2130" "Q4 2018","261","609","738","843","1159","1400","1389","1417","2161" "Q1 2019","244","590","687","771","1095","1271","1281","1312","2020" "Q2 2019","266","670","770","842","1215","1381","1395","1428","2203" "Q3 2019","272","684","786","860","1241","1410","1424","1458","2249"