{"id":166808,"date":"2023-09-13T16:23:15","date_gmt":"2023-09-13T23:23:15","guid":{"rendered":"https:\/\/new.thepinetree.net\/?p=166808"},"modified":"2023-09-13T16:23:15","modified_gmt":"2023-09-13T23:23:15","slug":"fuel-prices-ignite-inflation-fears-again-with-energy-index-up-5-6-in-august","status":"publish","type":"post","link":"https:\/\/new.thepinetree.net\/?p=166808","title":{"rendered":"Fuel Prices Ignite Inflation Fears Again With Energy Index up 5.6% in August"},"content":{"rendered":"<p>Washington, DC&#8230;The Consumer Price Index for All Urban Consumers (CPI-U) rose 0.6 percent in August on a seasonally adjusted basis, after increasing 0.2 percent in July, the U.S. Bureau of Labor Statistics reported today. Over the last 12 months, the all items index increased 3.7 percent before seasonal adjustment. The index for gasoline was the largest contributor to the monthly all items increase, accounting for over half of the increase. Also contributing to the August monthly increase was continued advancement in the shelter index, which rose for the 40th consecutive month.<\/p>\n<p><a href=\"https:\/\/new.thepinetree.net\/wp-content\/uploads\/2023\/09\/12-month-percentage-chan-6.jpeg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-166809\" src=\"https:\/\/new.thepinetree.net\/wp-content\/uploads\/2023\/09\/12-month-percentage-chan-6.jpeg\" alt=\"\" width=\"640\" height=\"530\" srcset=\"https:\/\/new.thepinetree.net\/wp-content\/uploads\/2023\/09\/12-month-percentage-chan-6.jpeg 1400w, https:\/\/new.thepinetree.net\/wp-content\/uploads\/2023\/09\/12-month-percentage-chan-6-300x249.jpeg 300w, https:\/\/new.thepinetree.net\/wp-content\/uploads\/2023\/09\/12-month-percentage-chan-6-1024x848.jpeg 1024w, https:\/\/new.thepinetree.net\/wp-content\/uploads\/2023\/09\/12-month-percentage-chan-6-768x636.jpeg 768w, https:\/\/new.thepinetree.net\/wp-content\/uploads\/2023\/09\/12-month-percentage-chan-6-570x472.jpeg 570w, https:\/\/new.thepinetree.net\/wp-content\/uploads\/2023\/09\/12-month-percentage-chan-6-701x581.jpeg 701w, https:\/\/new.thepinetree.net\/wp-content\/uploads\/2023\/09\/12-month-percentage-chan-6-1067x884.jpeg 1067w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p>The energy index rose 5.6 percent in August as all the major energy component indexes increased. The food index increased 0.2 percent in August, as it did in July. The index for food at home increased 0.2 percent over the month while the index for food away from home rose 0.3 percent in August.<\/p>\n<p>The index for all items less food and energy rose 0.3 percent in August, following a 0.2-percent increase in July. Indexes which increased in August include rent, owners&#8217; equivalent rent, motor vehicle insurance, medical care, and personal care. The indexes for lodging away from home, used cars and trucks, and recreation were among those that decreased over the month. The all items index increased 3.7 percent for the 12 months ending August, a larger increase than the 3.2-percent increase for the 12 months ending in July. The all items less food and energy index rose 4.3 percent over the last 12 months. The energy index decreased 3.6 percent for the 12 months ending August, and the food index increased 4.3 percent over the last year.<\/p>\n<table id=\"cpi_pressa\">\n<caption>Table A. Percent changes in CPI for All Urban Consumers (CPI-U): U.S. city average<\/caption>\n<thead>\n<tr>\n<th id=\"cpi_pressa-0-0\" role=\"columnheader\" rowspan=\"2\"><\/th>\n<th id=\"cpi_pressa-0-1\" role=\"columnheader\" colspan=\"7\">Seasonally adjusted changes from preceding month<\/th>\n<th id=\"cpi_pressa-0-2\" role=\"columnheader\" rowspan=\"2\">Un-<br \/>\nadjusted<br \/>\n12-mos.<br \/>\nended<br \/>\nAug. 2023<\/th>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-1-0\" role=\"columnheader\">Feb.<br \/>\n2023<\/th>\n<th id=\"cpi_pressa-1-1\" role=\"columnheader\">Mar.<br \/>\n2023<\/th>\n<th id=\"cpi_pressa-1-2\" role=\"columnheader\">Apr.<br \/>\n2023<\/th>\n<th id=\"cpi_pressa-1-3\" role=\"columnheader\">May<br \/>\n2023<\/th>\n<th id=\"cpi_pressa-1-4\" role=\"columnheader\">Jun.<br \/>\n2023<\/th>\n<th id=\"cpi_pressa-1-5\" role=\"columnheader\">Jul.<br \/>\n2023<\/th>\n<th id=\"cpi_pressa-1-6\" role=\"columnheader\">Aug.<br \/>\n2023<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<th id=\"cpi_pressa-2-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">All items<\/th>\n<td headers=\"cpi_pressa-2-0 cpi_pressa-0-1 cpi_pressa-1-0\">0.4<\/td>\n<td headers=\"cpi_pressa-2-0 cpi_pressa-0-1 cpi_pressa-1-1\">0.1<\/td>\n<td headers=\"cpi_pressa-2-0 cpi_pressa-0-1 cpi_pressa-1-2\">0.4<\/td>\n<td headers=\"cpi_pressa-2-0 cpi_pressa-0-1 cpi_pressa-1-3\">0.1<\/td>\n<td headers=\"cpi_pressa-2-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.2<\/td>\n<td headers=\"cpi_pressa-2-0 cpi_pressa-0-1 cpi_pressa-1-5\">0.2<\/td>\n<td headers=\"cpi_pressa-2-0 cpi_pressa-0-1 cpi_pressa-1-6\">0.6<\/td>\n<td headers=\"cpi_pressa-2-0 cpi_pressa-0-2\">3.7<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-3-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Food<\/th>\n<td headers=\"cpi_pressa-3-0 cpi_pressa-0-1 cpi_pressa-1-0\">0.4<\/td>\n<td headers=\"cpi_pressa-3-0 cpi_pressa-0-1 cpi_pressa-1-1\">0.0<\/td>\n<td headers=\"cpi_pressa-3-0 cpi_pressa-0-1 cpi_pressa-1-2\">0.0<\/td>\n<td headers=\"cpi_pressa-3-0 cpi_pressa-0-1 cpi_pressa-1-3\">0.2<\/td>\n<td headers=\"cpi_pressa-3-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.1<\/td>\n<td headers=\"cpi_pressa-3-0 cpi_pressa-0-1 cpi_pressa-1-5\">0.2<\/td>\n<td headers=\"cpi_pressa-3-0 cpi_pressa-0-1 cpi_pressa-1-6\">0.2<\/td>\n<td headers=\"cpi_pressa-3-0 cpi_pressa-0-2\">4.3<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-4-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Food at home<\/th>\n<td headers=\"cpi_pressa-4-0 cpi_pressa-0-1 cpi_pressa-1-0\">0.3<\/td>\n<td headers=\"cpi_pressa-4-0 cpi_pressa-0-1 cpi_pressa-1-1\">-0.3<\/td>\n<td headers=\"cpi_pressa-4-0 cpi_pressa-0-1 cpi_pressa-1-2\">-0.2<\/td>\n<td headers=\"cpi_pressa-4-0 cpi_pressa-0-1 cpi_pressa-1-3\">0.1<\/td>\n<td headers=\"cpi_pressa-4-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.0<\/td>\n<td headers=\"cpi_pressa-4-0 cpi_pressa-0-1 cpi_pressa-1-5\">0.3<\/td>\n<td headers=\"cpi_pressa-4-0 cpi_pressa-0-1 cpi_pressa-1-6\">0.2<\/td>\n<td headers=\"cpi_pressa-4-0 cpi_pressa-0-2\">3.0<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-5-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Food away from home(<a title=\"Click to jump to footnotes at bottom of the table\" href=\"https:\/\/www.bls.gov\/news.release\/cpi.nr0.htm#cpi_pressa.f.1\" aria-label=\"1 Not seasonally adjusted. t1fn\">1<\/a>)<\/th>\n<td headers=\"cpi_pressa-5-0 cpi_pressa-0-1 cpi_pressa-1-0\">0.6<\/td>\n<td headers=\"cpi_pressa-5-0 cpi_pressa-0-1 cpi_pressa-1-1\">0.6<\/td>\n<td headers=\"cpi_pressa-5-0 cpi_pressa-0-1 cpi_pressa-1-2\">0.4<\/td>\n<td headers=\"cpi_pressa-5-0 cpi_pressa-0-1 cpi_pressa-1-3\">0.5<\/td>\n<td headers=\"cpi_pressa-5-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.4<\/td>\n<td headers=\"cpi_pressa-5-0 cpi_pressa-0-1 cpi_pressa-1-5\">0.2<\/td>\n<td headers=\"cpi_pressa-5-0 cpi_pressa-0-1 cpi_pressa-1-6\">0.3<\/td>\n<td headers=\"cpi_pressa-5-0 cpi_pressa-0-2\">6.5<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-6-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Energy<\/th>\n<td headers=\"cpi_pressa-6-0 cpi_pressa-0-1 cpi_pressa-1-0\">-0.6<\/td>\n<td headers=\"cpi_pressa-6-0 cpi_pressa-0-1 cpi_pressa-1-1\">-3.5<\/td>\n<td headers=\"cpi_pressa-6-0 cpi_pressa-0-1 cpi_pressa-1-2\">0.6<\/td>\n<td headers=\"cpi_pressa-6-0 cpi_pressa-0-1 cpi_pressa-1-3\">-3.6<\/td>\n<td headers=\"cpi_pressa-6-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.6<\/td>\n<td headers=\"cpi_pressa-6-0 cpi_pressa-0-1 cpi_pressa-1-5\">0.1<\/td>\n<td headers=\"cpi_pressa-6-0 cpi_pressa-0-1 cpi_pressa-1-6\">5.6<\/td>\n<td headers=\"cpi_pressa-6-0 cpi_pressa-0-2\">-3.6<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-7-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Energy commodities<\/th>\n<td headers=\"cpi_pressa-7-0 cpi_pressa-0-1 cpi_pressa-1-0\">0.5<\/td>\n<td headers=\"cpi_pressa-7-0 cpi_pressa-0-1 cpi_pressa-1-1\">-4.6<\/td>\n<td headers=\"cpi_pressa-7-0 cpi_pressa-0-1 cpi_pressa-1-2\">2.7<\/td>\n<td headers=\"cpi_pressa-7-0 cpi_pressa-0-1 cpi_pressa-1-3\">-5.6<\/td>\n<td headers=\"cpi_pressa-7-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.8<\/td>\n<td headers=\"cpi_pressa-7-0 cpi_pressa-0-1 cpi_pressa-1-5\">0.3<\/td>\n<td headers=\"cpi_pressa-7-0 cpi_pressa-0-1 cpi_pressa-1-6\">10.5<\/td>\n<td headers=\"cpi_pressa-7-0 cpi_pressa-0-2\">-4.2<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-8-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Gasoline (all types)<\/th>\n<td headers=\"cpi_pressa-8-0 cpi_pressa-0-1 cpi_pressa-1-0\">1.0<\/td>\n<td headers=\"cpi_pressa-8-0 cpi_pressa-0-1 cpi_pressa-1-1\">-4.6<\/td>\n<td headers=\"cpi_pressa-8-0 cpi_pressa-0-1 cpi_pressa-1-2\">3.0<\/td>\n<td headers=\"cpi_pressa-8-0 cpi_pressa-0-1 cpi_pressa-1-3\">-5.6<\/td>\n<td headers=\"cpi_pressa-8-0 cpi_pressa-0-1 cpi_pressa-1-4\">1.0<\/td>\n<td headers=\"cpi_pressa-8-0 cpi_pressa-0-1 cpi_pressa-1-5\">0.2<\/td>\n<td headers=\"cpi_pressa-8-0 cpi_pressa-0-1 cpi_pressa-1-6\">10.6<\/td>\n<td headers=\"cpi_pressa-8-0 cpi_pressa-0-2\">-3.3<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-9-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Fuel oil(<a title=\"Click to jump to footnotes at bottom of the table\" href=\"https:\/\/www.bls.gov\/news.release\/cpi.nr0.htm#cpi_pressa.f.1\" aria-label=\"1 Not seasonally adjusted. t1fn\">1<\/a>)<\/th>\n<td headers=\"cpi_pressa-9-0 cpi_pressa-0-1 cpi_pressa-1-0\">-7.9<\/td>\n<td headers=\"cpi_pressa-9-0 cpi_pressa-0-1 cpi_pressa-1-1\">-4.0<\/td>\n<td headers=\"cpi_pressa-9-0 cpi_pressa-0-1 cpi_pressa-1-2\">-4.5<\/td>\n<td headers=\"cpi_pressa-9-0 cpi_pressa-0-1 cpi_pressa-1-3\">-7.7<\/td>\n<td headers=\"cpi_pressa-9-0 cpi_pressa-0-1 cpi_pressa-1-4\">-0.4<\/td>\n<td headers=\"cpi_pressa-9-0 cpi_pressa-0-1 cpi_pressa-1-5\">3.0<\/td>\n<td headers=\"cpi_pressa-9-0 cpi_pressa-0-1 cpi_pressa-1-6\">9.1<\/td>\n<td headers=\"cpi_pressa-9-0 cpi_pressa-0-2\">-14.8<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-10-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Energy services<\/th>\n<td headers=\"cpi_pressa-10-0 cpi_pressa-0-1 cpi_pressa-1-0\">-1.7<\/td>\n<td headers=\"cpi_pressa-10-0 cpi_pressa-0-1 cpi_pressa-1-1\">-2.3<\/td>\n<td headers=\"cpi_pressa-10-0 cpi_pressa-0-1 cpi_pressa-1-2\">-1.7<\/td>\n<td headers=\"cpi_pressa-10-0 cpi_pressa-0-1 cpi_pressa-1-3\">-1.4<\/td>\n<td headers=\"cpi_pressa-10-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.4<\/td>\n<td headers=\"cpi_pressa-10-0 cpi_pressa-0-1 cpi_pressa-1-5\">-0.1<\/td>\n<td headers=\"cpi_pressa-10-0 cpi_pressa-0-1 cpi_pressa-1-6\">0.2<\/td>\n<td headers=\"cpi_pressa-10-0 cpi_pressa-0-2\">-2.7<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-11-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Electricity<\/th>\n<td headers=\"cpi_pressa-11-0 cpi_pressa-0-1 cpi_pressa-1-0\">0.5<\/td>\n<td headers=\"cpi_pressa-11-0 cpi_pressa-0-1 cpi_pressa-1-1\">-0.7<\/td>\n<td headers=\"cpi_pressa-11-0 cpi_pressa-0-1 cpi_pressa-1-2\">-0.7<\/td>\n<td headers=\"cpi_pressa-11-0 cpi_pressa-0-1 cpi_pressa-1-3\">-1.0<\/td>\n<td headers=\"cpi_pressa-11-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.9<\/td>\n<td headers=\"cpi_pressa-11-0 cpi_pressa-0-1 cpi_pressa-1-5\">-0.7<\/td>\n<td headers=\"cpi_pressa-11-0 cpi_pressa-0-1 cpi_pressa-1-6\">0.2<\/td>\n<td headers=\"cpi_pressa-11-0 cpi_pressa-0-2\">2.1<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-12-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Utility (piped) gas service<\/th>\n<td headers=\"cpi_pressa-12-0 cpi_pressa-0-1 cpi_pressa-1-0\">-8.0<\/td>\n<td headers=\"cpi_pressa-12-0 cpi_pressa-0-1 cpi_pressa-1-1\">-7.1<\/td>\n<td headers=\"cpi_pressa-12-0 cpi_pressa-0-1 cpi_pressa-1-2\">-4.9<\/td>\n<td headers=\"cpi_pressa-12-0 cpi_pressa-0-1 cpi_pressa-1-3\">-2.6<\/td>\n<td headers=\"cpi_pressa-12-0 cpi_pressa-0-1 cpi_pressa-1-4\">-1.7<\/td>\n<td headers=\"cpi_pressa-12-0 cpi_pressa-0-1 cpi_pressa-1-5\">2.0<\/td>\n<td headers=\"cpi_pressa-12-0 cpi_pressa-0-1 cpi_pressa-1-6\">0.1<\/td>\n<td headers=\"cpi_pressa-12-0 cpi_pressa-0-2\">-16.5<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-13-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">All items less food and energy<\/th>\n<td headers=\"cpi_pressa-13-0 cpi_pressa-0-1 cpi_pressa-1-0\">0.5<\/td>\n<td headers=\"cpi_pressa-13-0 cpi_pressa-0-1 cpi_pressa-1-1\">0.4<\/td>\n<td headers=\"cpi_pressa-13-0 cpi_pressa-0-1 cpi_pressa-1-2\">0.4<\/td>\n<td headers=\"cpi_pressa-13-0 cpi_pressa-0-1 cpi_pressa-1-3\">0.4<\/td>\n<td headers=\"cpi_pressa-13-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.2<\/td>\n<td headers=\"cpi_pressa-13-0 cpi_pressa-0-1 cpi_pressa-1-5\">0.2<\/td>\n<td headers=\"cpi_pressa-13-0 cpi_pressa-0-1 cpi_pressa-1-6\">0.3<\/td>\n<td headers=\"cpi_pressa-13-0 cpi_pressa-0-2\">4.3<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-14-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Commodities less food and energy commodities<\/th>\n<td headers=\"cpi_pressa-14-0 cpi_pressa-0-1 cpi_pressa-1-0\">0.0<\/td>\n<td headers=\"cpi_pressa-14-0 cpi_pressa-0-1 cpi_pressa-1-1\">0.2<\/td>\n<td headers=\"cpi_pressa-14-0 cpi_pressa-0-1 cpi_pressa-1-2\">0.6<\/td>\n<td headers=\"cpi_pressa-14-0 cpi_pressa-0-1 cpi_pressa-1-3\">0.6<\/td>\n<td headers=\"cpi_pressa-14-0 cpi_pressa-0-1 cpi_pressa-1-4\">-0.1<\/td>\n<td headers=\"cpi_pressa-14-0 cpi_pressa-0-1 cpi_pressa-1-5\">-0.3<\/td>\n<td headers=\"cpi_pressa-14-0 cpi_pressa-0-1 cpi_pressa-1-6\">-0.1<\/td>\n<td headers=\"cpi_pressa-14-0 cpi_pressa-0-2\">0.2<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-15-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">New vehicles<\/th>\n<td headers=\"cpi_pressa-15-0 cpi_pressa-0-1 cpi_pressa-1-0\">0.2<\/td>\n<td headers=\"cpi_pressa-15-0 cpi_pressa-0-1 cpi_pressa-1-1\">0.4<\/td>\n<td headers=\"cpi_pressa-15-0 cpi_pressa-0-1 cpi_pressa-1-2\">-0.2<\/td>\n<td headers=\"cpi_pressa-15-0 cpi_pressa-0-1 cpi_pressa-1-3\">-0.1<\/td>\n<td headers=\"cpi_pressa-15-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.0<\/td>\n<td headers=\"cpi_pressa-15-0 cpi_pressa-0-1 cpi_pressa-1-5\">-0.1<\/td>\n<td headers=\"cpi_pressa-15-0 cpi_pressa-0-1 cpi_pressa-1-6\">0.3<\/td>\n<td headers=\"cpi_pressa-15-0 cpi_pressa-0-2\">2.9<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-16-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Used cars and trucks<\/th>\n<td headers=\"cpi_pressa-16-0 cpi_pressa-0-1 cpi_pressa-1-0\">-2.8<\/td>\n<td headers=\"cpi_pressa-16-0 cpi_pressa-0-1 cpi_pressa-1-1\">-0.9<\/td>\n<td headers=\"cpi_pressa-16-0 cpi_pressa-0-1 cpi_pressa-1-2\">4.4<\/td>\n<td headers=\"cpi_pressa-16-0 cpi_pressa-0-1 cpi_pressa-1-3\">4.4<\/td>\n<td headers=\"cpi_pressa-16-0 cpi_pressa-0-1 cpi_pressa-1-4\">-0.5<\/td>\n<td headers=\"cpi_pressa-16-0 cpi_pressa-0-1 cpi_pressa-1-5\">-1.3<\/td>\n<td headers=\"cpi_pressa-16-0 cpi_pressa-0-1 cpi_pressa-1-6\">-1.2<\/td>\n<td headers=\"cpi_pressa-16-0 cpi_pressa-0-2\">-6.6<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-17-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Apparel<\/th>\n<td headers=\"cpi_pressa-17-0 cpi_pressa-0-1 cpi_pressa-1-0\">0.8<\/td>\n<td headers=\"cpi_pressa-17-0 cpi_pressa-0-1 cpi_pressa-1-1\">0.3<\/td>\n<td headers=\"cpi_pressa-17-0 cpi_pressa-0-1 cpi_pressa-1-2\">0.3<\/td>\n<td headers=\"cpi_pressa-17-0 cpi_pressa-0-1 cpi_pressa-1-3\">0.3<\/td>\n<td headers=\"cpi_pressa-17-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.3<\/td>\n<td headers=\"cpi_pressa-17-0 cpi_pressa-0-1 cpi_pressa-1-5\">0.0<\/td>\n<td headers=\"cpi_pressa-17-0 cpi_pressa-0-1 cpi_pressa-1-6\">0.2<\/td>\n<td headers=\"cpi_pressa-17-0 cpi_pressa-0-2\">3.1<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-18-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Medical care commodities(<a title=\"Click to jump to footnotes at bottom of the table\" href=\"https:\/\/www.bls.gov\/news.release\/cpi.nr0.htm#cpi_pressa.f.1\" aria-label=\"1 Not seasonally adjusted. t1fn\">1<\/a>)<\/th>\n<td headers=\"cpi_pressa-18-0 cpi_pressa-0-1 cpi_pressa-1-0\">0.1<\/td>\n<td headers=\"cpi_pressa-18-0 cpi_pressa-0-1 cpi_pressa-1-1\">0.6<\/td>\n<td headers=\"cpi_pressa-18-0 cpi_pressa-0-1 cpi_pressa-1-2\">0.5<\/td>\n<td headers=\"cpi_pressa-18-0 cpi_pressa-0-1 cpi_pressa-1-3\">0.6<\/td>\n<td headers=\"cpi_pressa-18-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.2<\/td>\n<td headers=\"cpi_pressa-18-0 cpi_pressa-0-1 cpi_pressa-1-5\">0.5<\/td>\n<td headers=\"cpi_pressa-18-0 cpi_pressa-0-1 cpi_pressa-1-6\">0.6<\/td>\n<td headers=\"cpi_pressa-18-0 cpi_pressa-0-2\">4.5<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-19-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Services less energy services<\/th>\n<td headers=\"cpi_pressa-19-0 cpi_pressa-0-1 cpi_pressa-1-0\">0.6<\/td>\n<td headers=\"cpi_pressa-19-0 cpi_pressa-0-1 cpi_pressa-1-1\">0.4<\/td>\n<td headers=\"cpi_pressa-19-0 cpi_pressa-0-1 cpi_pressa-1-2\">0.4<\/td>\n<td headers=\"cpi_pressa-19-0 cpi_pressa-0-1 cpi_pressa-1-3\">0.4<\/td>\n<td headers=\"cpi_pressa-19-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.3<\/td>\n<td headers=\"cpi_pressa-19-0 cpi_pressa-0-1 cpi_pressa-1-5\">0.4<\/td>\n<td headers=\"cpi_pressa-19-0 cpi_pressa-0-1 cpi_pressa-1-6\">0.4<\/td>\n<td headers=\"cpi_pressa-19-0 cpi_pressa-0-2\">5.9<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-20-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Shelter<\/th>\n<td headers=\"cpi_pressa-20-0 cpi_pressa-0-1 cpi_pressa-1-0\">0.8<\/td>\n<td headers=\"cpi_pressa-20-0 cpi_pressa-0-1 cpi_pressa-1-1\">0.6<\/td>\n<td headers=\"cpi_pressa-20-0 cpi_pressa-0-1 cpi_pressa-1-2\">0.4<\/td>\n<td headers=\"cpi_pressa-20-0 cpi_pressa-0-1 cpi_pressa-1-3\">0.6<\/td>\n<td headers=\"cpi_pressa-20-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.4<\/td>\n<td headers=\"cpi_pressa-20-0 cpi_pressa-0-1 cpi_pressa-1-5\">0.4<\/td>\n<td headers=\"cpi_pressa-20-0 cpi_pressa-0-1 cpi_pressa-1-6\">0.3<\/td>\n<td headers=\"cpi_pressa-20-0 cpi_pressa-0-2\">7.3<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-21-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Transportation services<\/th>\n<td headers=\"cpi_pressa-21-0 cpi_pressa-0-1 cpi_pressa-1-0\">1.1<\/td>\n<td headers=\"cpi_pressa-21-0 cpi_pressa-0-1 cpi_pressa-1-1\">1.4<\/td>\n<td headers=\"cpi_pressa-21-0 cpi_pressa-0-1 cpi_pressa-1-2\">-0.2<\/td>\n<td headers=\"cpi_pressa-21-0 cpi_pressa-0-1 cpi_pressa-1-3\">0.8<\/td>\n<td headers=\"cpi_pressa-21-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.1<\/td>\n<td headers=\"cpi_pressa-21-0 cpi_pressa-0-1 cpi_pressa-1-5\">0.3<\/td>\n<td headers=\"cpi_pressa-21-0 cpi_pressa-0-1 cpi_pressa-1-6\">2.0<\/td>\n<td headers=\"cpi_pressa-21-0 cpi_pressa-0-2\">10.3<\/td>\n<\/tr>\n<tr>\n<th id=\"cpi_pressa-22-0\" role=\"rowheader\" headers=\"cpi_pressa-0-0\">Medical care services<\/th>\n<td headers=\"cpi_pressa-22-0 cpi_pressa-0-1 cpi_pressa-1-0\">-0.7<\/td>\n<td headers=\"cpi_pressa-22-0 cpi_pressa-0-1 cpi_pressa-1-1\">-0.5<\/td>\n<td headers=\"cpi_pressa-22-0 cpi_pressa-0-1 cpi_pressa-1-2\">-0.1<\/td>\n<td headers=\"cpi_pressa-22-0 cpi_pressa-0-1 cpi_pressa-1-3\">-0.1<\/td>\n<td headers=\"cpi_pressa-22-0 cpi_pressa-0-1 cpi_pressa-1-4\">0.0<\/td>\n<td headers=\"cpi_pressa-22-0 cpi_pressa-0-1 cpi_pressa-1-5\">-0.4<\/td>\n<td headers=\"cpi_pressa-22-0 cpi_pressa-0-1 cpi_pressa-1-6\">0.1<\/td>\n<td headers=\"cpi_pressa-22-0 cpi_pressa-0-2\">-2.1<\/td>\n<\/tr>\n<\/tbody>\n<tfoot>\n<tr>\n<td colspan=\"9\">Footnotes<br \/>\n<a id=\"cpi_pressa.f.1\" name=\"cpi_pressa.f.1\"><\/a>(1)\u00a0Not seasonally adjusted.<\/td>\n<\/tr>\n<\/tfoot>\n<\/table>\n<pre>Food\r\n\r\nThe food index rose 0.2 percent in August, as it did in the previous month. The index for food at\r\nhome increased 0.2 percent over the month, after rising 0.3 percent in July. The six major grocery\r\nstore food group indexes were split over the month, with three increases and three decreases. The\r\nindex for meats, poultry, fish, and eggs rose 0.8 percent in August as the index for pork increased\r\n2.2 percent. The index for other food at home increased 0.2 percent over the month and the index for\r\ncereals and bakery products rose 0.5 percent. \r\n\r\nThe index for dairy and related products decreased 0.4 percent in August after increasing 0.5 percent\r\nin July. The fruit and vegetables index declined 0.2 percent over the month, as did the nonalcoholic\r\nbeverages index.\r\n\r\nThe food away from home index rose 0.3 percent in August. The index for limited service meals rose\r\n0.3 percent over the month, and the index for full service meals increased 0.2 percent. \r\n\r\nThe food at home index rose 3.0 percent over the last 12 months. The index for cereals and bakery\r\nproducts rose 6.0 percent over the 12 months ending in August. The meats, poultry, fish, and eggs\r\nindex was unchanged over the year. The remaining major grocery store food groups posted increases\r\nranging from 0.3 percent (dairy and related products) to 4.8 percent (nonalcoholic beverages).\r\n\r\nThe index for food away from home rose 6.5 percent over the last year. The index for limited service\r\nmeals rose 6.7 percent over the last 12 months, and the index for full service meals rose 5.2 percent\r\nover the same period. \r\n\r\nEnergy\r\n\r\nThe energy index rose 5.6 percent in August after increasing 0.1 percent in July. The gasoline index\r\nincreased 10.6 percent in August, following a 0.2-percent increase in the previous month. (Before\r\nseasonal adjustment, gasoline prices rose 5.9 percent in August.) \r\n\r\nOther energy components also increased in August. The index for electricity rose 0.2 percent in August,\r\nafter decreasing 0.7 percent in July. The natural gas index increased 0.1 percent over the month,\r\nfollowing a 2.0-percent increase in July. The index for fuel oil also rose in August, increasing 9.1\r\npercent. \r\n\r\nDespite the August monthly increases, the energy index fell 3.6 percent over the past 12 months. The\r\ngasoline index decreased 3.3 percent over the last 12 months, while the natural gas index fell 16.5\r\npercent, and the fuel oil index fell 14.8 percent over the span. In contrast, the index for electricity\r\nrose 2.1 percent over the last year. \r\n\r\nAll items less food and energy\r\n\r\nThe index for all items less food and energy rose 0.3 percent in August, after rising 0.2 percent in\r\nJuly. The shelter index increased 0.3 percent over the month, after rising 0.4 percent in each of the\r\npreceding 2 months. The index for rent rose 0.5 percent in August, and the index for owners' equivalent\r\nrent increased 0.4 percent over the month. The lodging away from home index decreased 3.0 percent in\r\nAugust, its third consecutive decrease. \r\n\r\nThe shelter index was the largest factor in the monthly increase in the index for all items less food\r\nand energy. Among the other indexes that rose in August was the index for motor vehicle insurance,\r\nwhich increased 2.4 percent after rising 2.0 percent the preceding month. The indexes for airline \r\nfares, personal care, new vehicles, and household furnishings and operations also increased in August.\r\n\r\nThe medical care index rose 0.2 percent in August, after falling 0.2 percent the previous month. The\r\nindex for hospital services increased 0.7 percent over the month, and the index for physicians'\r\nservices rose 0.1 percent. The prescription drugs index rose 0.4 percent in August.\r\n\r\nThe index for used cars and trucks fell 1.2 percent in August, after decreasing 1.3 percent in July.\r\nThe recreation index declined 0.2 percent over the month, and the communication index declined 0.1\r\npercent. \r\n\r\nThe index for all items less food and energy rose 4.3 percent over the past 12 months. The shelter\r\nindex increased 7.3 percent over the last year, accounting for over 70 percent of the total increase\r\nin all items less food and energy. Other indexes with notable increases over the last year include\r\nmotor vehicle insurance (+19.1 percent), recreation (+3.5 percent), personal care (+5.8 percent), and\r\nnew vehicles (+2.9 percent).\r\n\r\nNot seasonally adjusted CPI measures\r\n\r\nThe Consumer Price Index for All Urban Consumers (CPI-U) increased 3.7 percent over the last 12 months\r\nto an index level of 307.026 (1982-84=100). For the month, the index increased 0.4 percent prior to\r\nseasonal adjustment.  \r\n\r\nThe Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W) increased 3.4 percent\r\nover the last 12 months to an index level of 301.551 (1982-84=100). For the month, the index increased\r\n0.6 percent prior to seasonal adjustment.  \r\n\r\nThe Chained Consumer Price Index for All Urban Consumers (C-CPI-U) increased 3.7 percent over the last\r\n12 months. For the month, the index increased 0.4 percent on a not seasonally adjusted basis. Please\r\nnote that the indexes for the past 10 to 12 months are subject to revision. \r\n_______________\r\nThe Consumer Price Index for September 2023 is scheduled to be released on Thursday, October 12, 2023,\r\nat 8:30 a.m. (ET).\r\n\r\nTechnical Note\r\n\r\nBrief Explanation of the CPI\r\nThe Consumer Price Index (CPI) measures the change in prices paid by consumers for goods \r\nand services. The CPI reflects spending patterns for each of two population groups: all \r\nurban consumers and urban wage earners and clerical workers. The all urban consumer group \r\nrepresents about 93 percent of the total U.S. population. It is based on the expenditures \r\nof almost all residents of urban or metropolitan areas, including professionals, the self\r\n-employed, the poor, the unemployed, and retired people, as well as urban wage earners \r\nand clerical workers. Not included in the CPI are the spending patterns of people living \r\nin rural nonmetropolitan areas, farming families, people in the Armed Forces, and those \r\nin institutions, such as prisons and mental hospitals. Consumer inflation for all urban \r\nconsumers is measured by two indexes, namely, the Consumer Price Index for All Urban \r\nConsumers (CPI-U) and the Chained Consumer Price Index for All Urban Consumers (C-CPI-U). \r\nThe Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W) is based on \r\nthe expenditures of households included in the CPI-U definition that meet two requirements: \r\nmore than one-half of the household's income must come from clerical or wage occupations, \r\nand at least one of the household's earners must have been employed for at least 37 weeks \r\nduring the previous 12 months. The CPI-W population represents about 29 percent of the \r\ntotal U.S. population and is a subset of the CPI-U population.\r\n\r\nThe CPIs are based on prices of food, clothing, shelter, fuels, transportation, doctors' \r\nand dentists' services, drugs, and other goods and services that people buy for day-to-day \r\nliving. Prices are collected each month in 75 urban areas across the country from about \r\n6,000 housing units and approximately 22,000 retail establishments (department stores, \r\nsupermarkets, hospitals, filling stations, and other types of stores and service \r\nestablishments). All taxes directly associated with the purchase and use of items are \r\nincluded in the index. Prices of fuels and a few other items are obtained every month in \r\nall 75 locations. Prices of most other commodities and services are collected every month \r\nin the three largest geographic areas and every other month in other areas. Prices of most \r\ngoods and services are obtained by personal visit, telephone call, web, or app collection by \r\nthe Bureau's trained representatives.\r\n\r\nIn calculating the index, price changes for the various items in each location are \r\naggregated using weights, which represent their importance in the spending of the \r\nappropriate population group. Local data are then combined to obtain a U.S. city average. \r\nFor the CPI-U and CPI-W, separate indexes are also published by size of city, by region of \r\nthe country, for cross-classifications of regions and population-size classes, and for 23 \r\nselected local areas. Area indexes do not measure differences in the level of prices among \r\ncities; they only measure the average change in prices for each area since the base period. \r\nFor the C-CPI-U, data are issued only at the national level. The CPI-U and CPI-W are \r\nconsidered final when released, but the C-CPI-U is issued in preliminary form and subject \r\nto three subsequent quarterly revisions. \r\n\r\nThe index measures price change from a designed reference date. For most of the CPI-U and \r\nthe CPI-W, the reference base is 1982-84 equals 100. The reference base for the C-CPI-U is \r\nDecember 1999 equals 100.  An increase of 7 percent from the reference base, for example, \r\nis shown as 107.000. Alternatively, that relationship can also be expressed as the price \r\nof a base period market basket of goods and services rising from $100 to $107. \r\n\r\nSampling Error in the CPI\r\n\r\nThe CPI is a statistical estimate that is subject to sampling error because it is based \r\nupon a sample of retail prices and not the complete universe of all prices. BLS calculates \r\nand publishes estimates of the 1-month, 2-month, 6-month, and 12-month percent change \r\nstandard errors annually for the CPI-U. These standard error estimates can be used to \r\nconstruct confidence intervals for hypothesis testing. For example, the estimated standard \r\nerror of the 1-month percent change is 0.03 percent for the U.S. all items CPI. This means \r\nthat if we repeatedly sample from the universe of all retail prices using the same \r\nmethodology, and estimate a percentage change for each sample, then 95 percent of these \r\nestimates will be within 0.06 percent of the 1-month percentage change based on all retail \r\nprices. For example, for a 1-month change of 0.2 percent in the all items CPI-U, we are 95 \r\npercent confident that the actual percent change based on all retail prices would fall \r\nbetween 0.14 and 0.26 percent. For the latest data, including information on how to use \r\nthe estimates of standard error, see www.bls.gov\/cpi\/tables\/variance-estimates\/home.htm. \r\n\r\nCalculating Index Changes\r\n\r\nMovements of the indexes from 1 month to another are usually expressed as percent changes \r\nrather than changes in index points, because index point changes are affected by the level \r\nof the index in relation to its base period, while percent changes are not. The following \r\ntable shows an example of using index values to calculate percent changes:\r\n \r\n                            Item A                  Item B                      Item C\r\nYear I                      112.500                 225.000                     110.000\r\nYear II                     121.500                 243.000                     128.000\r\nChange in index points      9.000                   18.000                      18.000\r\nPercent change              9.0\/112.500 x 100 = 8.0  18.0\/225.000 x 100 = 8.0   18.0\/110.000 x 100 = 16.4\r\n\r\nUse of Seasonally Adjusted and Unadjusted Data\r\n\r\nThe Consumer Price Index (CPI) produces both unadjusted and seasonally adjusted data. \r\nSeasonally adjusted data are computed using seasonal factors derived by the X-13ARIMA-SEATS \r\nseasonal adjustment method. These factors are updated each February, and the new factors are \r\nused to revise the previous 5 years of seasonally adjusted data. The factors are available \r\nat www.bls.gov\/cpi\/tables\/seasonal-adjustment\/seasonal-factors-2022.xlsx. For more \r\ninformation on data revision scheduling, please see the Factsheet on Seasonal Adjustment at \r\nwww.bls.gov\/cpi\/seasonal-adjustment\/questions-and-answers.htm and the Timeline of Seasonal \r\nAdjustment Methodological Changes at \r\nwww.bls.gov\/cpi\/seasonal-adjustment\/timeline-seasonal-adjustment-methodology-changes.htm. \r\n\r\nFor analyzing short-term price trends in the economy, seasonally adjusted changes are usually \r\npreferred since they eliminate the effect of changes that normally occur at the same time and \r\nin about the same magnitude every year-such as price movements resulting from weather events, \r\nproduction cycles, model changeovers, holidays, and sales. This allows data users to focus on \r\nchanges that are not typical for the time of year. The unadjusted data are of primary interest \r\nto consumers concerned about the prices they actually pay. Unadjusted data are also used \r\nextensively for escalation purposes. Many collective bargaining contract agreements and pension \r\nplans, for example, tie compensation changes to the Consumer Price Index before adjustment for \r\nseasonal variation. BLS advises against the use of seasonally adjusted data in escalation \r\nagreements because seasonally adjusted series are revised annually.\r\n\r\nIntervention Analysis\r\n\r\nThe Bureau of Labor Statistics uses intervention analysis seasonal adjustment (IASA) for some \r\nCPI series. Sometimes extreme values or sharp movements can distort the underlying seasonal \r\npattern of price change. Intervention analysis seasonal adjustment is a process by which the \r\ndistortions caused by such unusual events are estimated and removed from the data prior to \r\ncalculation of seasonal factors. The resulting seasonal factors, which more accurately represent \r\nthe seasonal pattern, are then applied to the unadjusted data. \r\n\r\nFor example, this procedure was used for the motor fuel series to offset the effects of the 2009 \r\nreturn to normal pricing after the worldwide economic downturn in 2008. Retaining this outlier \r\ndata during seasonal factor calculation would distort the computation of the seasonal portion \r\nof the time series data for motor fuel, so it was estimated and removed from the data prior to \r\nseasonal adjustment. Following that, seasonal factors were calculated based on this \"prior \r\nadjusted\" data. These seasonal factors represent a clearer picture of the seasonal pattern in \r\nthe data. The last step is for motor fuel seasonal factors to be applied to the unadjusted data.\r\n\r\nFor the seasonal factors introduced for January 2022, BLS adjusted 72 series using intervention \r\nanalysis seasonal adjustment, including selected food and beverage items, motor fuels, electricity, \r\nand vehicles. \r\n\r\nRevision of Seasonally Adjusted Indexes\r\n\r\nSeasonally adjusted data, including the U.S. city average all items index levels, are subject to \r\nrevision for up to 5 years after their original release. Every year, economists in the CPI \r\ncalculate new seasonal factors for seasonally adjusted series and apply them to the last 5 years \r\nof data. Seasonally adjusted indexes beyond the last 5 years of data are considered to be final \r\nand not subject to revision. For January 2022, revised seasonal factors and seasonally adjusted \r\nindexes for 2017 to 2021 were calculated and published. For series which are directly adjusted \r\nusing the Census X-13ARIMA-SEATS seasonal adjustment software, the seasonal factors for 2021 will \r\nbe applied to data for 2022 to produce the seasonally adjusted 2022 indexes. Series which are \r\nindirectly seasonally adjusted by summing seasonally adjusted component series have seasonal \r\nfactors which are derived and are therefore not available in advance.\r\n\r\nDetermining Seasonal Status\r\n\r\nEach year the seasonal status of every series is reevaluated based upon certain statistical \r\ncriteria. Using these criteria, BLS economists determine whether a series should change its \r\nstatus from \"not seasonally adjusted\" to \"seasonally adjusted\", or vice versa. If any of the 81 \r\ncomponents of the U.S. city average all items index change their seasonal adjustment status from \r\nseasonally adjusted to not seasonally adjusted, not seasonally adjusted data will be used in the \r\naggregation of the dependent series for the last 5 years, but the seasonally adjusted indexes \r\nbefore that period will not be changed. For 2022, 22 of the 81 components of the U.S. city \r\naverage all items index are seasonally adjusted.\r\n\r\nContact Information\r\n\r\nFor additional information about the CPI visit www.bls.gov\/cpi or contact the CPI Information and \r\nAnalysis Section at 202-691-7000 or cpi_info@bls.gov. \r\n\r\nFor additional information on seasonal adjustment in the CPI visit \r\nwww.bls.gov\/cpi\/seasonal-adjustment\/home.htm or contact the CPI seasonal adjustment section at \r\n202-691-6968 or cpiseas@bls.gov. \r\n\r\nIf you are deaf, hard of hearing, or have a speech disability, please dial 7-1-1 to access \r\ntelecommunications relay services.\r\n<\/pre>\n<p><a href=\"https:\/\/www.bls.gov\/news.release\/cpi.t01.htm\">Table 1. Consumer Price Index for All Urban Consumers (CPI-U): U. S. city average, by expenditure category<\/a><\/p>\n<p><a href=\"https:\/\/www.bls.gov\/news.release\/cpi.t02.htm\">Table 2. Consumer Price Index for All Urban Consumers (CPI-U): U. S. city average, by detailed expenditure category<\/a><\/p>\n<p><a href=\"https:\/\/www.bls.gov\/news.release\/cpi.t03.htm\">Table 3. Consumer Price Index for All Urban Consumers (CPI-U): U. S. city average, special aggregate indexes<\/a><\/p>\n<p><a href=\"https:\/\/www.bls.gov\/news.release\/cpi.t04.htm\">Table 4. Consumer Price Index for All Urban Consumers (CPI-U): Selected areas, all items index<\/a><\/p>\n<p><a href=\"https:\/\/www.bls.gov\/news.release\/cpi.t05.htm\">Table 5. Chained Consumer Price Index for All Urban Consumers (C-CPI-U) and the Consumer Price Index for All Urban Consumers (CPI-U): U.S. city average, all items index<\/a><\/p>\n<p><a href=\"https:\/\/www.bls.gov\/news.release\/cpi.t06.htm\">Table 6. Consumer Price Index for All Urban Consumers (CPI-U): U.S. city average, by expenditure category, 1-month analysis table<\/a><\/p>\n<p><a href=\"https:\/\/www.bls.gov\/news.release\/cpi.t07.htm\">Table 7. Consumer Price Index for All Urban Consumers (CPI-U): U.S. city average, by expenditure category, 12-month analysis table<\/a><\/p>\n<p><a href=\"https:\/\/www.bls.gov\/news.release\/cpi.htm\">HTML version of the entire news release<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Washington, DC&#8230;The Consumer Price Index for All Urban Consumers (CPI-U) rose 0.6 percent in August on a seasonally adjusted basis, after increasing 0.2 percent in July, the U.S. Bureau of Labor Statistics reported today. Over the last 12 months, the all items index increased 3.7 percent before seasonal adjustment. The index for gasoline was the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":166809,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_cbd_carousel_blocks":"[]","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3,20,5,4,1],"tags":[],"class_list":["post-166808","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business","category-featured","category-government","category-life-style","category-news","last_archivepost"],"jetpack_featured_media_url":"https:\/\/new.thepinetree.net\/wp-content\/uploads\/2023\/09\/12-month-percentage-chan-6.jpeg","jetpack_sharing_enabled":true,"jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/posts\/166808","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=166808"}],"version-history":[{"count":1,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/posts\/166808\/revisions"}],"predecessor-version":[{"id":166810,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/posts\/166808\/revisions\/166810"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/media\/166809"}],"wp:attachment":[{"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=166808"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=166808"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=166808"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}