{"id":157245,"date":"2023-03-14T14:56:05","date_gmt":"2023-03-14T21:56:05","guid":{"rendered":"https:\/\/new.thepinetree.net\/?p=157245"},"modified":"2023-03-14T14:56:05","modified_gmt":"2023-03-14T21:56:05","slug":"inflation-rolls-on-at-6-annual-rate","status":"publish","type":"post","link":"https:\/\/new.thepinetree.net\/?p=157245","title":{"rendered":"Inflation Rolls on at 6% Annual Rate"},"content":{"rendered":"

Washington, DC…The Consumer Price Index for All Urban Consumers (CPI-U) rose 0.4 percent in February on a seasonally adjusted basis, after increasing 0.5 percent in January, the U.S. Bureau of Labor Statistics reported today. Over the last 12 months, the all items index increased 6.0 percent before seasonal adjustment.<\/p>\n

\"\"<\/a><\/p>\n

The index for shelter was the largest contributor to the monthly all items increase, accounting for over
\n70 percent of the increase, with the indexes for food, recreation, and household furnishings and
\noperations also contributing. The food index increased 0.4 percent over the month with the food at home
\nindex rising 0.3 percent. The energy index decreased 0.6 percent over the month as the natural gas and
\nfuel oil indexes both declined.<\/p>\n

The index for all items less food and energy rose 0.5 percent in February, after rising 0.4 percent in
\nJanuary. Categories which increased in February include shelter, recreation, household furnishings and
\noperations, and airline fares. The index for used cars and trucks and the index for medical care were
\namong those that decreased over the month.<\/p>\n

The all items index increased 6.0 percent for the 12 months ending February; this was the smallest
\n12-month increase since the period ending September 2021. The all items less food and energy index rose
\n5.5 percent over the last 12 months, its smallest 12-month increase since December 2021. The energy
\nindex increased 5.2 percent for the 12 months ending February, and the food index increased 9.5 percent
\nover the last year.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Table A. Percent changes in CPI for All Urban Consumers (CPI-U): U.S. city average<\/span><\/span> <\/p>\n<\/caption>\n
<\/th>\nSeasonally adjusted changes from preceding month<\/th>\nUn-
\nadjusted
\n12-mos.
\nended
\nFeb. 2023<\/th>\n<\/tr>\n
Aug.
\n2022<\/th>\n		Sep.
\n2022<\/th>\n		Oct.
\n2022<\/th>\n		Nov.
\n2022<\/th>\n		Dec.
\n2022<\/th>\n		Jan.
\n2023<\/th>\n		Feb.
\n2023<\/th>\n<\/tr>\n<\/thead>\n
\n

All items<\/p>\n<\/th>\n

0.2<\/span><\/td>\n0.4<\/span><\/td>\n0.5<\/span><\/td>\n0.2<\/span><\/td>\n0.1<\/span><\/td>\n0.5<\/span><\/td>\n0.4<\/span><\/td>\n6.0<\/span><\/td>\n<\/tr>\n
\n

Food<\/p>\n<\/th>\n

0.8<\/span><\/td>\n0.8<\/span><\/td>\n0.7<\/span><\/td>\n0.6<\/span><\/td>\n0.4<\/span><\/td>\n0.5<\/span><\/td>\n0.4<\/span><\/td>\n9.5<\/span><\/td>\n<\/tr>\n
\n

Food at home<\/p>\n<\/th>\n

0.8<\/span><\/td>\n0.7<\/span><\/td>\n0.5<\/span><\/td>\n0.6<\/span><\/td>\n0.5<\/span><\/td>\n0.4<\/span><\/td>\n0.3<\/span><\/td>\n10.2<\/span><\/td>\n<\/tr>\n
\n

Food away from home(1<\/a>)<\/span><\/p>\n<\/th>\n

0.9<\/span><\/td>\n0.9<\/span><\/td>\n0.9<\/span><\/td>\n0.5<\/span><\/td>\n0.4<\/span><\/td>\n0.6<\/span><\/td>\n0.6<\/span><\/td>\n8.4<\/span><\/td>\n<\/tr>\n
\n

Energy<\/p>\n<\/th>\n

-3.9<\/span><\/td>\n-1.7<\/span><\/td>\n1.7<\/span><\/td>\n-1.4<\/span><\/td>\n-3.1<\/span><\/td>\n2.0<\/span><\/td>\n-0.6<\/span><\/td>\n5.2<\/span><\/td>\n<\/tr>\n
\n

Energy commodities<\/p>\n<\/th>\n

-8.0<\/span><\/td>\n-4.1<\/span><\/td>\n3.7<\/span><\/td>\n-2.1<\/span><\/td>\n-7.2<\/span><\/td>\n1.9<\/span><\/td>\n0.5<\/span><\/td>\n-1.4<\/span><\/td>\n<\/tr>\n
\n

Gasoline (all types)<\/p>\n<\/th>\n

-8.4<\/span><\/td>\n-4.2<\/span><\/td>\n3.4<\/span><\/td>\n-2.3<\/span><\/td>\n-7.0<\/span><\/td>\n2.4<\/span><\/td>\n1.0<\/span><\/td>\n-2.0<\/span><\/td>\n<\/tr>\n
\n

Fuel oil(1<\/a>)<\/span><\/p>\n<\/th>\n

-5.9<\/span><\/td>\n-2.7<\/span><\/td>\n19.8<\/span><\/td>\n1.7<\/span><\/td>\n-16.6<\/span><\/td>\n-1.2<\/span><\/td>\n-7.9<\/span><\/td>\n9.2<\/span><\/td>\n<\/tr>\n
\n

Energy services<\/p>\n<\/th>\n

1.8<\/span><\/td>\n1.2<\/span><\/td>\n-0.7<\/span><\/td>\n-0.6<\/span><\/td>\n1.9<\/span><\/td>\n2.1<\/span><\/td>\n-1.7<\/span><\/td>\n13.3<\/span><\/td>\n<\/tr>\n
\n

Electricity<\/p>\n<\/th>\n

1.2<\/span><\/td>\n0.8<\/span><\/td>\n0.5<\/span><\/td>\n0.5<\/span><\/td>\n1.3<\/span><\/td>\n0.5<\/span><\/td>\n0.5<\/span><\/td>\n12.9<\/span><\/td>\n<\/tr>\n
\n

Utility (piped) gas service<\/p>\n<\/th>\n

3.5<\/span><\/td>\n2.2<\/span><\/td>\n-3.7<\/span><\/td>\n-3.4<\/span><\/td>\n3.5<\/span><\/td>\n6.7<\/span><\/td>\n-8.0<\/span><\/td>\n14.3<\/span><\/td>\n<\/tr>\n
\n

All items less food and energy<\/p>\n<\/th>\n

0.6<\/span><\/td>\n0.6<\/span><\/td>\n0.3<\/span><\/td>\n0.3<\/span><\/td>\n0.4<\/span><\/td>\n0.4<\/span><\/td>\n0.5<\/span><\/td>\n5.5<\/span><\/td>\n<\/tr>\n
\n

Commodities less food and energy commodities<\/p>\n<\/th>\n

0.4<\/span><\/td>\n0.0<\/span><\/td>\n-0.1<\/span><\/td>\n-0.2<\/span><\/td>\n-0.1<\/span><\/td>\n0.1<\/span><\/td>\n0.0<\/span><\/td>\n1.0<\/span><\/td>\n<\/tr>\n
\n

New vehicles<\/p>\n<\/th>\n

0.8<\/span><\/td>\n0.7<\/span><\/td>\n0.6<\/span><\/td>\n0.5<\/span><\/td>\n0.6<\/span><\/td>\n0.2<\/span><\/td>\n0.2<\/span><\/td>\n5.8<\/span><\/td>\n<\/tr>\n
\n

Used cars and trucks<\/p>\n<\/th>\n

-0.2<\/span><\/td>\n-1.1<\/span><\/td>\n-1.7<\/span><\/td>\n-2.0<\/span><\/td>\n-2.0<\/span><\/td>\n-1.9<\/span><\/td>\n-2.8<\/span><\/td>\n-13.6<\/span><\/td>\n<\/tr>\n
\n

Apparel<\/p>\n<\/th>\n

0.3<\/span><\/td>\n0.0<\/span><\/td>\n-0.2<\/span><\/td>\n0.1<\/span><\/td>\n0.2<\/span><\/td>\n0.8<\/span><\/td>\n0.8<\/span><\/td>\n3.3<\/span><\/td>\n<\/tr>\n
\n

Medical care commodities(1<\/a>)<\/span><\/p>\n<\/th>\n

0.2<\/span><\/td>\n-0.1<\/span><\/td>\n0.0<\/span><\/td>\n0.2<\/span><\/td>\n0.1<\/span><\/td>\n1.1<\/span><\/td>\n0.1<\/span><\/td>\n3.2<\/span><\/td>\n<\/tr>\n
\n

Services less energy services<\/p>\n<\/th>\n

0.6<\/span><\/td>\n0.8<\/span><\/td>\n0.5<\/span><\/td>\n0.5<\/span><\/td>\n0.6<\/span><\/td>\n0.5<\/span><\/td>\n0.6<\/span><\/td>\n7.3<\/span><\/td>\n<\/tr>\n
\n

Shelter<\/p>\n<\/th>\n

0.7<\/span><\/td>\n0.7<\/span><\/td>\n0.7<\/span><\/td>\n0.6<\/span><\/td>\n0.8<\/span><\/td>\n0.7<\/span><\/td>\n0.8<\/span><\/td>\n8.1<\/span><\/td>\n<\/tr>\n
\n

Transportation services<\/p>\n<\/th>\n

1.0<\/span><\/td>\n1.9<\/span><\/td>\n0.6<\/span><\/td>\n0.3<\/span><\/td>\n0.6<\/span><\/td>\n0.9<\/span><\/td>\n1.1<\/span><\/td>\n14.6<\/span><\/td>\n<\/tr>\n
\n

Medical care services<\/p>\n<\/th>\n

0.7<\/span><\/td>\n0.8<\/span><\/td>\n-0.4<\/span><\/td>\n-0.5<\/span><\/td>\n0.3<\/span><\/td>\n-0.7<\/span><\/td>\n-0.7<\/span><\/td>\n2.1<\/span><\/td>\n<\/tr>\n<\/tbody>\n
\n

Footnotes<\/span>
\n<\/a>(1)\u00a0Not seasonally adjusted.<\/p>\n<\/td>\n<\/tr>\n<\/tfoot>\n<\/table>\n

Food\r\n\r\nThe food index increased 0.4 percent in February, and the food at home index rose 0.3 percent over the\r\nmonth. Five of the six major grocery store food group indexes increased over the month. The index for\r\nnonalcoholic beverages increased 1.0 percent in February, after a 0.4-percent increase the previous\r\nmonth. The indexes for other food at home and for cereals and bakery products each rose 0.3 percent\r\nover the month. The index for fruits and vegetables increased 0.2 percent in February, and the index\r\nfor dairy and related products rose 0.1 percent.\r\n\r\nIn contrast, the meats, poultry, fish, and eggs index fell 0.1 percent over the month, the first\r\ndecrease in that index since December 2021. The index for eggs fell 6.7 percent in February following\r\nsharp increases in recent months.\r\n\r\nThe food away from home index rose 0.6 percent in February, as it did in January. The index for limited\r\nservice meals increased 0.7 percent over the month and the index for full service meals increased 0.6\r\npercent. \r\n\r\nThe food at home index rose 10.2 percent over the last 12 months. The index for cereals and bakery\r\nproducts rose 14.6 percent over the 12 months ending in February. The remaining major grocery store\r\nfood groups posted increases ranging from 5.3 percent (fruits and vegetables) to 12.4 percent (other\r\nfood at home).\r\n\r\nThe index for food away from home rose 8.4 percent over the last year. The index for full service meals\r\nrose 8.0 percent over the last 12 months, and the index for limited service meals rose 7.2 percent over\r\nthe same period. \r\n\r\nEnergy\r\n\r\nThe energy index fell 0.6 percent in February, after increasing 2.0 percent in January. The natural gas\r\nindex decreased 8.0 percent over the month, the largest 1-month decrease in that series since October\r\n2006. The fuel oil index fell 7.9 percent over the month, following a 1.2-percent decline in January.\r\nIn contrast, the gasoline index rose 1.0 percent in February, following a 2.4-percent increase in the\r\nprevious month. (Before seasonal adjustment, gasoline prices rose 1.7 percent in February.) The index\r\nfor electricity increased 0.5 percent over the month.\r\n\r\nThe energy index rose 5.2 percent over the past 12 months. The fuel oil index rose 9.2 percent over the\r\nlast 12 months, while the index for electricity rose 12.9 percent, and the index for natural gas\r\nincreased 14.3 percent over the same period. The gasoline index decreased 2.0 percent over the span.\r\n\r\nAll items less food and energy\r\n\r\nThe index for all items less food and energy rose 0.5 percent in February, after rising 0.4 percent in\r\nJanuary. The shelter index continued to increase, rising 0.8 percent over the month. The index for rent\r\nrose 0.8 percent in February, while the index for owners' equivalent rent increased 0.7 percent over the\r\nmonth. The index for lodging away from home increased 2.3 percent in February. \r\n\r\nThe shelter index was the dominant factor in the monthly increase in the index for all items less food\r\nand energy. Among the other indexes that rose in February was the index for recreation, which increased\r\n0.9 percent, and the index for household furnishings and operations which increased 0.8 percent. The\r\nairline fares index rose 6.4 percent, ending a string of four consecutive declines. The index for motor\r\nvehicle insurance, the index for apparel, the index for personal care, and the index for new vehicles\r\nalso increased in February. In contrast, the index for used cars and trucks fell 2.8 percent in \r\nFebruary, continuing a recent downward trend. \r\n\r\nThe medical care index fell 0.5 percent in February, after falling 0.4 percent in January. The index for\r\nphysicians' services continued to decline, falling 0.5 percent after declining 0.1 percent in January.\r\nThe hospital services index and the prescription drugs index were unchanged in February. \r\n\r\nThe index for all items less food and energy rose 5.5 percent over the past 12 months. The shelter index\r\nincreased 8.1 percent over the last year, accounting for over 60 percent of the total increase in all\r\nitems less food and energy. Other indexes with notable increases over the last year include motor\r\nvehicle insurance (+14.5 percent), household furnishings and operations (+6.1 percent), recreation\r\n(+5.0 percent), and new vehicles (+5.8 percent). \r\n\r\nNot seasonally adjusted CPI measures\r\n\r\nThe Consumer Price Index for All Urban Consumers (CPI-U) increased 6.0 percent over the last 12 months\r\nto an index level of 300.840 (1982-84=100). For the month, the index increased 0.6 percent prior to\r\nseasonal adjustment.  \r\n\r\nThe Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W) increased 5.8 percent over\r\nthe last 12 months to an index level of 295.057 (1982-84=100). For the month, the index increased 0.5\r\npercent prior to seasonal adjustment.  \r\n\r\nThe Chained Consumer Price Index for All Urban Consumers (C-CPI-U) increased 6.2 percent over the last\r\n12 months. For the month, the index increased 0.6 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 March 2023 is scheduled to be released on Wednesday, April 12, 2023, at\r\n8:30 a.m. (ET).\r\n\r\nTechnical Note\r\n\r\nBrief Explanation of the CPI\r\n\r\nThe Consumer Price Index (CPI) measures the change in prices paid by consumers for goods and services.\r\nThe CPI reflects spending patterns for each of two population groups: all urban consumers and urban\r\nwage earners and clerical workers. The all urban consumer group represents over 90 percent of the\r\ntotal U.S. population. It is based on the expenditures of almost all residents of urban or \r\nmetropolitan areas, including professionals, the self-employed, the poor, the unemployed, and retired\r\npeople, as well as urban wage earners and clerical workers. Not included in the CPI are the spending \r\npatterns of people living in rural nonmetropolitan areas, farming families, people in the Armed Forces,\r\nand those in 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 Consumers (CPI-U)\r\nand the Chained Consumer Price Index for All Urban Consumers (C-CPI-U). \r\n\r\nThe Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W) is based on the \r\nexpenditures of households included in the CPI-U definition that meet two requirements: more than \r\none-half of the household's income must come from clerical or wage occupations, and at least one of \r\nthe household's earners must have been employed for at least 37 weeks during the previous 12 months.\r\nThe CPI-W population represents approximately 30 percent of the total U.S. population and is a subset\r\nof the CPI-U population.\r\n\r\nThe CPIs are based on prices of food, clothing, shelter, fuels, transportation, doctors' and dentists'\r\nservices, drugs, and other goods and services that people buy for day-to-day living. Prices are \r\ncollected each month in 75 urban areas across the country from about 6,000 housing units and \r\napproximately 22,000 retail establishments (department stores, supermarkets, hospitals, filling \r\nstations, and other types of stores and service establishments). All taxes directly associated with \r\nthe purchase and use of items are included in the index. Prices of fuels and a few other items are \r\nobtained every month in all 75 locations. Prices of most other commodities and services are collected \r\nevery month in 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, or web collection by the Bureau's \r\ntrained representatives.\r\n\r\nIn calculating the index, price changes for the various items in each location are aggregated using\r\nweights, which represent their importance in the spending of the appropriate population group. Local\r\ndata are then combined to obtain a U.S. city average. For the CPI-U and CPI-W, separate indexes are\r\nalso published by size of city, by region of the country, for cross-classifications of regions and\r\npopulation-size classes, and for 23 selected local areas. Area indexes do not measure differences in\r\nthe level of prices among cities; they only measure the average change in prices for each area since\r\nthe base period. For 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 to three\r\nsubsequent quarterly revisions.\r\n\r\nThe index measures price change from a designed reference date. For most of the CPI-U and the CPI-W,\r\nthe reference base is 1982-84 equals 100. The reference base for the C-CPI-U is December 1999 equals\r\n100.  An increase of 7 percent from the reference base, for example, is shown as 107.000. Alternatively,\r\nthat relationship can also be expressed as the price of a base period market basket of goods and \r\nservices 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 upon a sample\r\nof retail prices and not the complete universe of all prices. BLS calculates and publishes estimates\r\nof the 1-month, 2-month, 6-month, and 12-month percent change standard errors annually for the CPI-U.\r\nThese standard error estimates can be used to construct confidence intervals for hypothesis testing.\r\nFor example, the estimated standard error of the 1-month percent change is 0.03 percent for the U.S.\r\nall items CPI. This means that if we repeatedly sample from the universe of all retail prices using\r\nthe same methodology, 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 prices.\r\nFor example, for a 1-month change of 0.2 percent in the all items CPI-U, we are 95 percent confident\r\nthat the actual percent change based on all retail prices would fall between 0.14 and 0.26 percent.\r\nFor the latest data, including information on how to use the estimates of standard error, see\r\nwww.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 rather than\r\nchanges in index points, because index point changes are affected by the level of the index in\r\nrelation to its base period, while percent changes are not. The following table shows an example of\r\nusing index values to calculate percent changes:\r\n\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) program produces both unadjusted and seasonally adjusted data.\r\nSeasonally adjusted data are computed using seasonal factors derived by the X-13ARIMA-SEATS seasonal\r\nadjustment method. These factors are updated each February, and the new factors are used to revise the\r\nprevious 5 years of seasonally adjusted data. The factors are available at\r\nwww.bls.gov\/cpi\/tables\/seasonal-adjustment\/seasonal-factors-2023.xlsx. \r\n\r\nFor more information on data revision scheduling, please see the Factsheet on Seasonal Adjustment at\r\nwww.bls.gov\/cpi\/seasonal-adjustment\/questions-and-answers.htm \r\nand the Timeline of Seasonal Adjustment Methodological Changes at \r\nwww.bls.gov\/cpi\/seasonal-adjustment\/timeline-seasonal-adjustment-methodology-changes.htm. \r\n\r\nHow to Use Seasonally Adjusted and Unadjusted Data\r\n\r\nFor analyzing short-term price trends in the economy, seasonally adjusted changes are usually preferred\r\nsince they eliminate the effect of changes that normally occur at the same time and in about the same\r\nmagnitude every year - such as price movements resulting from weather events, production cycles, model\r\nchangeovers, holidays, and sales. This allows data users to focus on changes that are not typical for\r\nthe time of year. \r\n\r\nThe unadjusted data are of primary interest to consumers concerned about the prices they actually pay.\r\nUnadjusted data are also used extensively for escalation purposes. Many collective bargaining contract\r\nagreements and pension plans, for example, tie compensation changes to the Consumer Price Index before\r\nadjustment for seasonal variation. BLS advises against the use of seasonally adjusted data in\r\nescalation agreements 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 CPI\r\nseries. Sometimes extreme values or sharp movements can distort the underlying seasonal pattern of\r\nprice change. Intervention analysis seasonal adjustment is a process by which the distortions caused\r\nby such unusual events are estimated and removed from the data prior to calculation of seasonal\r\nfactors. The resulting seasonal factors, which more accurately represent the seasonal pattern, are\r\nthen 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 data \r\nduring seasonal factor calculation would distort the computation of the seasonal portion of the time\r\nseries data for motor fuel, so it was estimated and removed from the data prior to seasonal adjustment.\r\nFollowing that, seasonal factors were calculated based on this \"prior adjusted\" data. These seasonal\r\nfactors represent a clearer picture of the seasonal pattern in the data. The last step is for motor\r\nfuel seasonal factors to be applied to the unadjusted data.\r\n\r\nFor the seasonal factors introduced for January 2023, BLS adjusted 57 series using intervention\r\nanalysis seasonal adjustment, including selected food and beverage items, motor fuels and 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 calculate\r\nnew seasonal factors for seasonally adjusted series and apply them to the last 5 years of data. \r\nSeasonally adjusted indexes beyond the last 5 years of data are considered to be final and not subject\r\nto revision. For January 2023, revised seasonal factors and seasonally adjusted indexes for 2018 to \r\n2022 were calculated and published. For series which are directly adjusted using the Census \r\nX-13ARIMA-SEATS seasonal adjustment software, the seasonal factors for 2022 will be applied to data\r\nfor 2023 to produce the seasonally adjusted 2023 indexes. Series which are indirectly seasonally \r\nadjusted by summing seasonally adjusted component series have seasonal factors which are derived and\r\nare 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 criteria.\r\nUsing these criteria, BLS economists determine whether a series should change its status from \"not\r\nseasonally adjusted\" to \"seasonally adjusted\", or vice versa. If any of the 81 components of the U.S.\r\ncity average all items index change their seasonal adjustment status from seasonally adjusted to not\r\nseasonally adjusted, not seasonally adjusted data will be used in the aggregation of the dependent\r\nseries for the last 5 years, but the seasonally adjusted indexes before that period will not be\r\nchanged. For 2023, 37 of the 81 components of the U.S. city average all items index are not seasonally\r\nadjusted.\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\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
\u00a0Table 1. Consumer Price Index for All Urban Consumers (CPI-U): U. S. city average, by expenditure category<\/a><\/div>\n
\u00a0Table 2. Consumer Price Index for All Urban Consumers (CPI-U): U. S. city average, by detailed expenditure category<\/a><\/div>\n
\u00a0Table 3. Consumer Price Index for All Urban Consumers (CPI-U): U. S. city average, special aggregate indexes<\/a><\/div>\n
\u00a0Table 4. Consumer Price Index for All Urban Consumers (CPI-U): Selected areas, all items index<\/a><\/div>\n
\u00a0Table 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><\/div>\n
\u00a0Table 6. Consumer Price Index for All Urban Consumers (CPI-U): U.S. city average, by expenditure category, 1-month analysis table<\/a><\/div>\n
\u00a0Table 7. Consumer Price Index for All Urban Consumers (CPI-U): U.S. city average, by expenditure category, 12-month analysis table<\/a><\/div>\n
\u00a0HTML version of the entire news release<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"
Washington, DC…The Consumer Price Index for All Urban Consumers (CPI-U) rose 0.4 percent in February on a seasonally adjusted basis, after increasing 0.5 percent in January, the U.S. Bureau of Labor Statistics reported today. Over the last 12 months, the all items index increased 6.0 percent before seasonal adjustment. The index for shelter was the […]<\/p>\n","protected":false},"author":1,"featured_media":157246,"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":[3,20,5,1],"tags":[],"class_list":["post-157245","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business","category-featured","category-government","category-news","last_archivepost"],"jetpack_featured_media_url":"https:\/\/new.thepinetree.net\/wp-content\/uploads\/2023\/03\/12-month-percentage-chan-4.jpeg","jetpack_sharing_enabled":true,"jetpack-related-posts":[],"_links":{"self":[{"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/posts\/157245","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=157245"}],"version-history":[{"count":1,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/posts\/157245\/revisions"}],"predecessor-version":[{"id":157247,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/posts\/157245\/revisions\/157247"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=\/wp\/v2\/media\/157246"}],"wp:attachment":[{"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=157245"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=157245"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/new.thepinetree.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=157245"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}