Producer Price Index (WP) wp.txt Section Listing 1. Survey Definition 2. Files listed in the survey directory. 3. Time series, series file, data file, & mapping file definitions and relationships 4. Series file format and field definitions 5. Data file format and field definitions 6. Mapping file formats and field definitions 7. Data Element Dictionary ================================================================================ Section 1 ================================================================================ The following is a description of: PRODUCER PRICE INDEX-Current Commodity Series (WP) Survey Description: About 10,000 PPIs for individual products and groups of products are released each month. PPIs are available for the output of nearly all industries in the goods-producing sectors of the U.S. economy--mining, manufacturing, agriculture, fishing, and forestry--as well as natural gas, electricity, construction, and goods competitive with those made in the producing sectors, such as waste and scrap materials. The PPI program covers approximately 72 percent of the service sector's output, as measured by revenue reported in the 2007 Economic Census. Data includes industries in the following sectors: wholesale and retail trade; transportation and warehousing; information; finance and insurance; real estate brokering, rental, and leasing; professional, scientific, and technical services; administrative, support, and waste management services; health care and social assistance; and accommodation. To the extent possible, prices used in constructing the indexes are the actual revenue or net transaction prices producers receive for sales of their outputs. Scientific (probability) sampling techniques are used to select reporting establishments, products, and transactions for all types and volumes of output (not just volume-sellers). The commodity classification structure of the PPI organizes products by similarity of end use or material composition, regardless of whether the products are classified as primary or secondary in their industry of origin. This system is unique to the PPI and does not match any other standard coding structure. The commodity classification system is organized as a hierarchical structure that starts with major commodity groupings (2-digit level of aggregation). Each major commodity grouping includes (in descending order of aggregation) subgroups (3-digit level), product classes (4-digit level), subproduct classes (5- and 6-digit level), item groupings (7-digit level), and individual items (8-, 9-, and 10-digit levels). Commodity-based FD-ID price indexes regroup commodities at the subproduct class (six-digit) level, according to the class of buyer and the amount of physical processing or assembling the products have undergone. Commodity-based Inputs to Industries indexes regroup commodities to form indexes for the net input to industry production (excluding capital investment, labor, and imports). Summary Data Available: More than 4,000 commodity price indexes organized by product, service, and end use. Indexes by Final Demand-Intermediate Demand (FD-ID), and Inputs to Industries are also available, some back to 1947. In addition, data are available for major (2-digit) commodity groupings. Seasonally adjusted data are available for about 360 commodity indexes. Frequency of Observations: Monthly. Annual Averages: Annual averages are available for all series which published each month of the year and are unadjusted for seasonality. Data Characteristics: All data through June 2021 are stored with one decimal place. Data after June 2021 are stored with 3 decimal places. Updating Schedule: Updates are made near the middle of the month following a given reference month. Data are subject to monthly revisions up to four months after their original publication. For example, January index data are made available in February and revisions to January data are published in each following month through June when May data is released, and January data becomes final. Changes as a result of sample updates also result in adding, deleting, or re-coding of indexes which results in some indexes moving from the WP to the WD database when they become discontinued. References: BLS Handbook of Methods, Chapter 14, "Producer Prices", Online at https://www.bls.gov/opub/hom/pdf/homch14.pdf ================================================================================== Section 2 ================================================================================== The following Producer Price Index (Commodities) files are on the BLS internet in the sub-directory pub/time.series/wp: wp.data.0.Current -All current series recent data wp.data.1.AllCommodities -(group 00) All commodities wp.data.2.FarmProducts -(group 01) Farm products wp.data.3.ProcessedFoods -(group 02) Processed foods and feeds wp.data.4.Textile -(group 03) Textile products and apparel wp.data.5.Leather -(group 04) Hides, skins, leather, and related wp.data.6.Fuels -(group 05) Fuels and related products and power wp.data.7.Chemicals -(group 06) Chemicals and allied products wp.data.7i.ChemicalsInputs -(group IP326) Inputs to chemical mfg industries wp.data.8.Rubber -(group 07) Rubber and plastic products wp.data.8i.RubberInputs -(group IP326) Inputs to rubber and plastic mfg industries wp.data.9.Lumber -(group 08) Lumber and wood products wp.data.10.Pulp -(group 09) Pulp, paper, and allied products wp.data.11a.Metals10-103 -(group 10-103) Metals and metal products wp.data.11b.Metals104-109 -(group 104-109) Metals and metal products wp.data.12a.Machinery11-113 -(group 11-113) Machinery and equipment wp.data.12b.Machinery114-116 -(group 114-116) Machinery and equipment wp.data.12c.Machinery117-119 -(group 117-119) Machinery and equipment wp.data.12i.MachineryInputs -(group IP333) Inputs machinery and equip. mfg industries wp.data.13.Furniture -(group 12) Furniture and household durables wp.data.14.Minerals -(group 13) Nonmetallic mineral products wp.data.15.Transportation -(group 14) Transportation equipment wp.data.14i.TransportEqInputs -(group IP336) Inputs to transportation equip. mfg wp.data.16.Miscellaneous -(group 15) Miscellaneous products wp.data.17.TotalDurables -(group DUR) Indexes grouped by durability wp.data.18.SpecialIndexes -(group SI) Special groupings indexes wp.data.19.SteelMill -(group SIS) Steel mill products special indexes wp.data.20.StageofProcessing -(group SOP) Stage of processing indexes wp.data.21.Aggregates -Aggregates of commodity groups wp.data.22.FD-ID -(group 22) Final Demand-Intermediate Demand indexes wp.data.30.Services -(group 30-79) Wherever provided services wp.data.30i.TransportServInputs -(group IP481-492) Inputs to transport services industries wp.data.51i.HealthServInputs -(group IP62) Inputs to healthcare industries wp.data.56i.EntertnOtherInputs -(group IP71-81) Inputs to rec. and other service industries wp.data.80.Construction -(group 80) Construction services wp.data.80i.ConstructionInputs -(group IP23) Inputs to construction industries wp.contacts -Contacts for WP survey wp.footnote -Footnote definitions wp.group -Group codes with their titles mapping file wp.item -Item codes (all WP codes) with their titles mapping file wp.period -Period code definitions wp.series -List of all series codes, titles, and their beginning and end dates wp.txt -Survey and files descriptions ================================================================================= Section 3 ================================================================================= The definition of a time series, its relationship to and the interrelationship among series, data and mapping files is detailed below: A time series refers to a set of data observed over an extended period of time over consistent time intervals (i.e. monthly, quarterly, semi-annually, annually). BLS time series data are typically produced at monthly intervals and represent data ranging from a specific consumer item in a specific geographical area whose price is gathered monthly to a category of worker in a specific industry whose employment rate is being recorded monthly, etc. The files are organized such that data users are provided with the following set of files to use in their efforts to interpret data files: a) a series file (only one series file per survey) b) mapping files c) data files The series file contains a set of codes which, together, compose a series identification code that serves to uniquely identify a single time series. Additionally, the series file also contains the following series-level information: a) the period and year corresponding to the first data observation b) the period and year corresponding to the most recent data observation. The mapping files are definition files that contain explanatory text descriptions that correspond to each of the various codes contained within each series identification code. The data file contains one line of data for each observation period pertaining to a specific time series. Each line contains a reference to the following: a) a series identification code b) year in which data is observed c) period for which data is observed (M13, Q05, and S03 indicate annual averages) d) value e) footnote code (if available) ================================================================================= Section 4 ================================================================================= File Structure and Format: The following represents the file format used to define wp.series. Note that the Field Numbers are for reference only; they do not exist in the database. Data files are in ASCII text format. Data elements are separated by tabs; the first record of each file contains the column headers for the data elements stored in each field. Each record ends with a new line character. Field #/Data Element Length Value(Example) 1. series_id 30 WPS00000000 2. group_code 3 01 3. item_code 12 1101 4. seasonal 1 S 5. base_date 6 8206 6. series_title 256 PPI Commodity data for Farm products-Citrus fruits, seasonally adjusted 7. begin_year 4 1967 8. begin_period 3 M01 9. end_year 4 1974 10. end_period 3 M12 The series_id (WPS00000000) can be broken out into: Code Value survey abbreviation = WP seasonal_(code) = S group_code = 00 item_code = 000000 ================================================================================== Section 5 ================================================================================== File Structure and Format: The following represents the file format used to define each data file. Note that the field numbers are for reference only; they do not exist in the database. Data files are in ASCII text format. Data elements are separated by spaces; the first record of each file contains the column headers for the data elements stored in each field. Each record ends with a new line character. The wp.data file is partitioned into a number of separate files: See Section 2 The above-referenced data files have the following format: Field #/Data Element Length Value(Example) 1. series_id 30 WPS011101 2. year 4 1994 3. period 3 M01 4. value 12 105.9 5. footnote_codes 10 It varies The series_id (WPS00000000) can be broken out into: Code Value survey abbreviation = WP seasonal_(code) = S group_code = 00 item_code = 000000 ================================================================================ Section 6 ================================================================================ File Structure and Format: The following represents the file format used to define each mapping file. Note that the field numbers are for reference only; they do not exist in the database. Mapping files are in ASCII text format. Data elements are separated by tabs; the first record of each file contains the column headers for the data elements stored in each field. Each record ends with a new line character. File Name: wp.footnote Field #/Data Element Length Value(Example) 1. footnote_code 2 P 2. footnote_text 200 Text File Name: wp.group Field #/Data Element Length Value(Example) 1. group_code 3 02 2. group_text 150 Text File Name: wp.item Field #/Data Element Length Value(Example) 1. group_code 3 01 2. item_code 12 1101 3. item_text 150 Text File Name: wp.period Field #/Data Element Length Value(Example) 1. period 3 M01 2. period_abbr 5 JAN 3. period_name 20 Text ========================================================================================= Section 7 ========================================================================================= PRODUCER PRICE INDEX (WP) DATABASE ELEMENTS Data Element Length Value(Example) Description base_date 6 YYMM The base year and month used Ex: 8206 in calculating the index. begin_period 3 M01-M13 Identifies first data observation Ex: MO6=June within the first year for which (M=Monthly, M13=Annual data is available for a given Avg) time series. begin_year 4 YYYY Identifies first year for which Ex: 1975 data is available for a given time series. end_period 3 M01-M13 Identifies last data observation Ex: M06=June within the last year for which (M=Monthly, M13=Annual data is available for a given Avg) time series. end_year 4 YYYY Identifies latest year for Ex: 1980 which data series is available. footnote_code 2 P Identifies footnote for the data series. footnote_codes 10 It varies Identifies footnotes for the data series. footnote_text 200 Text Contains the text of the footnote. group_code 3 01 Code identifying major commodity group covered by the index. group_text 150 Text Name of the major commodity Ex: Farm products group covered by the index. item_code 12 1101 Identifies item for which data observations pertain. item_text 150 Text Full names of items. period_abbr 5 Period name Abbreviation of period name. abbreviation Ex: JUN period 3 M01-M13 Identifies period for which Ex: M06=June data is observed. (M=Monthly, M13=Annual Avg) period_name 20 Text Full name of period to which Ex: June the data observation refers. seasonal 1 S=Seasonally Code identifying whether the Adjusted data are seasonally adjusted. U=Unadjusted series_id 30 Code Series Identifier Code identifying the specific Ex:WPS00000000 series. value 12 Index Price index for item. Ex:105.9 year 4 YYYY Identifies year of observation. Ex: 1990