diff --git a/bls/cs/README.md b/bls/cs/README.md new file mode 100644 index 0000000000000000000000000000000000000000..5b207c36cf461797973221f1b136c966a2a22efd --- /dev/null +++ b/bls/cs/README.md @@ -0,0 +1,33 @@ +# BLS survey `cs` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/cs/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `cs.txt`. + +`*_series.parquet` defines each series_id (labels); `*_data_*.parquet` holds series_id, year, period (M01-M12 monthly, Q0x quarterly, A01/M13 annual), value, footnote_codes; other files map codes to labels. + +| file | rows | columns | +|---|---|---| +| cs.age | 90 | age_code, age_text | +| cs.case | 14 | case_code, case_text | +| cs.category | 2356 | case_code, category_code, category_text, display_level, selectable, sort_sequence | +| cs.contacts | 40 | Safety, Health, and Working Conditions Contacts: Injuries, Illnesses, and Fatalities (IIF) Program | +| cs.data.1.AllData | 144399943 | series_id, year, period, value, footnote_codes | +| cs.datatype | 3 | datatype_code, datatype_text | +| cs.event | 492 | event_code, event_text, display_level, selectable, sort_sequence | +| cs.footnote | 1 | footnote_code, footnote_text | +| cs.gender | 4 | gender_code, gender_text | +| cs.hour | 12 | hour_code, hour_text | +| cs.industry | 1402 | industry_code, industry_text, display_level, selectable, sort_sequence | +| cs.los | 6 | los_code, los_text | +| cs.nature | 436 | nature_code, nature_text, display_level, selectable, sort_sequence | +| cs.occupation | 1481 | occupation_code, occupation_text, display_level, selectable, sort_sequence | +| cs.ownership | 5 | ownership_code, ownership_name | +| cs.pob | 190 | pob_code, pob_text, display_level, selectable, sort_sequence | +| cs.race | 10 | race_code, race_text | +| cs.series | 28960743 | series_id, seasonal, category_code, datatype_code, case_code, age_code, los_code, race_code, gender_code, pob_code, event_code, source_code, occupation_code, nature_code, industry_code, time_code, hour_code, weekday_code, special_code, ownership_code, state_code, footnote_codes, begin_year, begin_period, end_year, end_period | +| cs.source | 1504 | source_code, source_text, display_level, selectable, sort_sequence | +| cs.special | 2 | special_code, special_text | +| cs.state | 47 | state_code, state_name, display_level, selectable, sort_sequence | +| cs.time | 8 | time_code, time_text | +| cs.weekday | 8 | weekday_code, weekday_text | diff --git a/bls/cs/cs.txt b/bls/cs/cs.txt new file mode 100644 index 0000000000000000000000000000000000000000..6dfbbc94b5accc6ac20836d611d4a8d417ed9fe8 --- /dev/null +++ b/bls/cs/cs.txt @@ -0,0 +1,616 @@ + Occupational Injuries and Illnesses - Characteristics Data (cs) + cs.txt + +Section Listing + +1. Survey Definition +2. FTP 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 definition of: Occupational Injuries and Illnesses - +characteristics data (cs) + +Survey Description: Besides injury and illness counts, survey respondents +also are asked to provide additional information for a subset of the most +serious nonfatal cases logged, namely, those that involved at least 1 day +away from work, beyond the day of injury or onset of illness. Employers +answer several questions about these cases, including the demographics of +the worker disabled, the nature of the disabling condition, and the event +and source producing that condition. + +Summary Data Available: Detailed breakouts of injury and illness data by +a variety of characteristics, including age, category, event, gender, +industry, length of service, nature, occupation, part of body, race, and +source are available. + +Frequency of Observations: Annual data are available. + +Data Characteristics: Data are reported to one decimal place. + +Updating Schedule: OSHS Characteristics data are published annually. + +======================================================================== +Section 2 +======================================================================== + +The following Occupational Injuries and Illnesses - characteristics data +files are on the BLS internet in the sub-directory pub/time.series/cs: + + + cs.age - Age codes (mapping file) + cs.case - Case codes (mapping file) + cs.category - Category codes (mapping file) + cs.contacts - Contacts for cs survey + cs.data.0.Current - All current year-to-date data + cs.data.1.AllData - All data + cs.datatype - Datatype codes (mapping file) + cs.event - Event codes (mapping file) + cs.footnote - Footnote codes (mapping file) + cs.gender - Gender codes (mapping file) + cs.hour - Hour codes (mapping file) + cs.industry - Industry codes (mapping file) + cs.los - LOS codes (mapping file) + cs.nature - Nature codes (mapping file) + cs.occupation - Occupation codes (mapping file) + cs.ownership - Ownership codes (mapping file) + cs.pob - POB codes (mapping file) + cs.race - Race codes (mapping file) + cs.series - All series with beginning and end dates + cs.source - Source codes (mapping file) + cs.special - Special codes (mapping file) + cs.state - State codes (mapping file) + cs.time - Time codes (mapping file) + cs.txt - General information + cs.weekday - Weekday codes (mapping file) + +============================================================================ +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 +geographic area whose price is gathered monthly to a category of worker in +a specific industry whose employment rate is being recorded monthly, etc. + +The FTP 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) 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 cs.series. Note 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. + +Field #/Data Element Length Value(Example) + +1. series_id 17 csU00X11XXXX3E100 + +2. category_code 3 00X + +3. datatype_code 1 3 + +4. case_code 1 E + +5. age_code 6 00XXXX + +6. los_code 6 0XXXXX + +7. race_code 6 0XXXXX + +8. gender_code 6 0XXXXX + +9. pob_code 6 0XXXXX + +10. event_code 6 0000XX + +11. source_code 6 0000XX + +12. occupation_code 6 000000 + +13. nature_code 6 0000XX + +14. industry_code 6 000000 + +15. time_code 6 000000 + +16. hour_code 6 000000 + +17. weekday_code 6 000000 + +18. special_code 6 000000 + +19. ownership_code 1 1 + +20. state_code 2 00 + +21. footnote_codes 10 It varies + +22. begin_year 4 2011 + +23. begin_period 3 A01 + +24. end_year 4 2013 + +25. end_period 3 A01 + +The series_id (csU00X00XXXX3E100) can be broken out into: + +Code = Value + +survey abbreviation = cs +seasonal adjustment code = U +category code = 00X +detail code = 00XXXX +datatype code = 3 +case code = E +ownership code = 1 +state code = 00 + +============================================================================ +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 cs.data file is partitioned into two separate files: + + 1. cs.data.0.Current = All current year-to-date data + 2. cs.data.1.AllData = All data + +Both of the above data files have the following format: + +Field #/Data Element Length Value(Example) + +1. series_id 17 csU00X00XXXX3E100 + +2. year 4 2011 + +3. period 3 A01 + +4. value 12 10.2 + +5. footnote_codes 10 It varies + +The series_id (csU00X00XXXX3E100) can be broken out into: + +Code = Value + +survey abbreviation = cs +seasonal adjustment code = U +category code = 00X +detail code = 00XXXX +datatype code = 3 +case code = E +ownership code = 1 +state code = 00 + +============================================================================ +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: cs.age + +Field #/Data Element Length Value(Example) + +1. age_code 6 000000 + +2. age_text 100 Text + + +File Name: cs.case + +Field #/Data Element Length Value(Example) + +1. case_code 1 E + +2. case_text 100 Text + + +File Name: cs.category + +Field #/Data Element Length Value(Example) + +1. case_code 1 3 + +2. category_code 3 00X + +3. category_text 100 Text + + +File Name: cs.datatype + +Field #/Data Element Length Value(Example) + +1. datatype_code 1 3 + +2. datatype_text 100 Text + + +File Name: cs.event + +Field #/Data Element Length Value(Example) + +1. event_code 6 00XXXX + +2. event_text 100 Text + + +File Name: cs.footnote + +Field #/Data Element Length Value(Example) + +1. footnote_code 1 P + +2. footnote_text 100 Text + + +File Name: cs.gender + +Field #/Data Element Length Value(Example) + +1. gender_code 6 000000 + +2. gender_text 100 Text + + +File Name: cs.hour + +Field #/Data Element Length Value(Example) + +1. hour_code 6 000000 + +2. hour_text 100 Text + + +File Name: cs.industry + +Field #/Data Element Length Value(Example) + +1. industry_code 6 000000 + +2. industry_text 100 Text + + +File Name: cs.los + +Field #/Data Element Length Value(Example) + +1. los_code 6 000000 + +2. los_text 100 Text + + +File Name: cs.nature + +Field #/Data Element Length Value(Example) + +1. nature_code 6 0XXXXX + +2. nature_text 100 Text + + +File Name: cs.occupation + +Field #/Data Element Length Value(Example) + +1. occupation_code 6 000000 + +2. occupation_text 100 Text + + +File Name: cs.ownership + +Field #/Data Element Length Value(Example) + +1. ownership_code 1 1 + +2. ownership_text 100 Text + + +File Name: cs.pob + +Field #/Data Element Length Value(Example) + +1. pob_code 6 0XXXXX + +2. pob_text 100 Text + + +File Name: cs.race + +Field #/Data Element Length Value(Example) + +1. race_code 6 000000 + +2. race_text 100 Text + + +File Name: cs.source + +Field #/Data Element Length Value(Example) + +1. source_code 6 0XXXXX + +2. source_text 100 Text + + +File Name: cs.special + +Field #/Data Element Length Value(Example) + +1. special_code 6 000000 + +2. special_text 100 Text + + +File Name: cs.state + +Field #/Data Element Length Value(Example) + +1. state_code 2 00 + +2. state_name 100 Text + + +File Name: cs.time + +Field #/Data Element Length Value(Example) + +1. time_code 6 000000 + +2. time_text 100 Text + + +File Name: cs.weekday + +Field #/Data Element Length Value(Example) + +1. weekday_code 6 000000 + +2. weekday_text 100 Text + +============================================================================ +Section 7 +============================================================================ + +OCCUPATIONAL INJURIES AND ILLNESSES--CHARACTERISTICS DATA (cs) DATABASE +ELEMENTS + +Data Element Length Value(Example) Description + +age_code 6 000000 Code identifying age of + subjects for which data + are observed. + +age_text 100 Text Identifies age of subjects + Ex: 20-24 for which data are + observed. + +begin_period 3 A01 Identifies first data + Ex: A01=2011 observation within the + first year for which data + are available for a given + time series. + +begin_year 4 2011 Identifies first year for + which data are available + for a given time series. + +case_code 1 A Code identifying type of + Ex: A=Industry case for which data are + division or available for a given time + selected + charteristics + by age. + +case_text 100 Text Describes case. + +category_code 3 00X Code identifying industry, + event, or characteristic + for which data are + available for a given time + series. + +category_text 100 Text Names the industry, event, + Ex: MIN=Mining, or characteristic for + N1A=Fractures which data are available + for a given time series. + +datatype_code 1 3 Code identifying the + datatype of the + observation. + +datatype_text 100 Text Identifies the datatype for + any given time series. + +end_period 3 A01 Identifies last data + observation within the + last year for which data + are available for a given + time series. + +end_year 4 2011 Identifies last year for + which data are available + for a given time series. + +event_code 6 00XXXX Code identifying the event + which resulted in the + reported injury or + illness. + +event_text 100 Text Names the event which + Ex: Falls, slips, resulted in the reported + trips injury or illness. + +footnote_code 10 It varies Identifies footnote for + the data series. + +gender_code 6 000000 Code identifying gender of + person experiencing the + injury or illness. + +gender_text 100 Text Names gender of person + Ex: Male experiencing the injury or + illness. + +hour_code 6 000000 Code identifying the total + hours worked before injury + or illness. + +hour_text 100 Text Number of hours worked before + Ex. 1 - 2 hours injury or illness occurred. + +industry_code 6 000000 Code identifying the + industry for which data + are observed. + +industry_text 100 Text Names the industry for + Ex: Construction which data are observed. + +los_code 6 000000 Code identifying the + length of service of the + person experiencing the + injury or illness. + +los_text 100 Text Names the length of + Ex: 1-5 years service of the person + experiencing the injury or + illness. + +nature_code 6 0XXXXX Code identifying the + nature of the injury or + illness. + +nature_text 100 Text Names the nature of the + Ex: Fractures injury or illness. + +occupation_code 6 000000 Code identifying the + occupation of the person + experiencing the injury or + illness. + +occupation_text 100 Text Names the occupation of + Ex: Roofers the person experiencing + the injury or illness. + +ownership_code 1 1 Code identifying the + ownership type. + +ownership_name 100 Text Names the type of ownership + Ex. Detailed of employer. + Private Industry + +period 3 A01 Identifies period for which data + Ex: A01=2002 is observed. + +pob_code 6 0XXXXX Code identifying the part + of body affected. + +pob_text 100 Text Names the part of body + Ex: Knee(s) affected. + +race_code 6 000000 Code identifying the race + of the person experiencing + the injury or illness. + +race_text 100 Text Names the race of the + Ex: Hispanic person experiencing the + injury or illness. + +series_id 17 csU00X00XXXX3E100 Unique series identifier + +source_code 6 0XXXXX Code identifying the + source of the injury or + illness. + +source_text 100 Text Names the source of the + Ex: Band saws injury or illness. + +special_code 6 000000 Code identifying specific + injury or illness. + +special_text 100 Text Name of specific injury or + Ex. Musculoskeletal illness. + disorders + +state_code 2 00 Code identifying each state. + +state_name 100 Text Names of specific state where + Ex. Arizona injury or illness occurred. + +time_code 6 000000 Code identifying the time + of the day injury or illness + occurred. + +time_text 100 Text Time of the day when injury or + Ex. 12:01AM-4:00AM illness occurred. + +value 12 2360 Observation for the series. + +weekday_code 6 000000 Code identifying the day of + the week the injury or illness + occurred. + +weekday_text 100 Text Day of the week the injury or + Ex. 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0000000000000000000000000000000000000000..db2eadfcaf21c194458bc8250f40f4d8aef11b2f --- /dev/null +++ b/bls/cu/README.md @@ -0,0 +1,41 @@ +# BLS survey `cu` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/cu/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `cu.txt`. + +`*_series.parquet` defines each series_id (labels); `*_data_*.parquet` holds series_id, year, period (M01-M12 monthly, Q0x quarterly, A01/M13 annual), value, footnote_codes; other files map codes to labels. + +| file | rows | columns | +|---|---|---| +| cu.area | 58 | area_code, area_name, display_level, selectable, sort_sequence | +| cu.aspect | 550478 | series_id, year, period, aspect_type, value, footnote_codes | +| cu.base | 2 | base_code, base_name | +| cu.contacts | 16 | Consumer Price Indexes Contacts | +| cu.data.0.Current | 1170617 | series_id, year, period, value, footnote_codes | +| cu.data.1.AllItems | 64064 | series_id, year, period, value, footnote_codes | +| cu.data.10.OtherWest | 297697 | series_id, year, period, value, footnote_codes | +| cu.data.11.USFoodBeverage | 159139 | series_id, year, period, value, footnote_codes | +| cu.data.12.USHousing | 64476 | series_id, year, period, value, footnote_codes | +| cu.data.13.USApparel | 33478 | series_id, year, period, value, footnote_codes | +| cu.data.14.USTransportation | 53412 | series_id, year, period, value, footnote_codes | +| cu.data.15.USMedical | 24154 | series_id, year, period, value, footnote_codes | +| cu.data.16.USRecreation | 34629 | series_id, year, period, value, footnote_codes | +| cu.data.17.USEducationAndCommunication | 21869 | series_id, year, period, value, footnote_codes | +| cu.data.18.USOtherGoodsAndServices | 26855 | series_id, year, period, value, footnote_codes | +| cu.data.19.PopulationSize | 35413 | series_id, year, period, value, footnote_codes | +| cu.data.2.Summaries | 287323 | series_id, year, period, value, footnote_codes | +| cu.data.20.USCommoditiesServicesSpecial | 86580 | series_id, year, period, value, footnote_codes | +| cu.data.3.AsizeNorthEast | 16487 | series_id, year, period, value, footnote_codes | +| cu.data.4.AsizeNorthCentral | 60094 | series_id, year, period, value, footnote_codes | +| cu.data.5.AsizeSouth | 11258 | series_id, year, period, value, footnote_codes | +| cu.data.6.AsizeWest | 45180 | series_id, year, period, value, footnote_codes | +| cu.data.7.OtherNorthEast | 231532 | series_id, year, period, value, footnote_codes | +| cu.data.8.OtherNorthCentral | 264934 | series_id, year, period, value, footnote_codes | +| cu.data.9.OtherSouth | 314730 | series_id, year, period, value, footnote_codes | +| cu.footnote | 2 | footnote_code, footnote_text | +| cu.item | 400 | item_code, item_name, display_level, selectable, sort_sequence | +| cu.period | 16 | period, period_abbr, period_name | +| cu.periodicity | 2 | periodicity_code, periodicity_name | +| cu.seasonal | 2 | seasonal_code, seasonal_text | +| cu.series | 8104 | series_id, area_code, item_code, seasonal, periodicity_code, base_code, base_period, series_title, footnote_codes, begin_year, begin_period, end_year, end_period | diff --git a/bls/cu/cu.txt b/bls/cu/cu.txt new file mode 100644 index 0000000000000000000000000000000000000000..3df85394b62ffc8bf9300f4e4b9bdde224226209 --- /dev/null +++ b/bls/cu/cu.txt @@ -0,0 +1,374 @@ + Consumer Price Index (CU) + cu.txt + +Section Listing + +1. Survey Definition +2. FTP 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 definition of: CONSUMER PRICE INDEX - All Urban Consumers (CU) + +Survey Description: The Consumer Price Index (CPI) is a statistical measure +of change, over time, of the prices of goods and services in major +expenditure groups--such as food, housing, apparel, transportation, and +medical care--typically purchased by urban consumers. Essentially, it +compares the cost of a sample "market basket" of goods and services in a +specific month relative to the cost of the same "market basket" in an +earlier reference period. This reference period is designated as the base +period. + +The CPI publishes indexes for two +populations; all urban consumers (CU) and urban wage earners and clerical workers (CW). + +To construct the two indexes, thousands of prices for commodities and services purchased by consumers +are collected in a sample of 75 urban places. Rent data is collected in a separate sample of thousands +of rental units. Comparison of indexes for individual CMSA's or cities show only the relative +change over time in prices between locations. These indexes cannot be used +to measure interarea differences in price levels or living costs. + +Summary Data Available: U.S. average indexes for both populations are +available for several hundred consumer items and groups of items. In addition, +many of the indexes have been adjusted for seasonality. The indexes are monthly. Different indexes +go back to different years, with the earliest, including all items, dating to 1913. Semi-annual +indexes have been calculated for many items for comparison with +semi-annual areas mentioned below. Semi-annual indexes are available from 1984 forward. + +Area indexes for both populations are available for 23 urban places. For +each area, indexes are published for a subset of items and groups. The indexes +are published monthly for three areas and bimonthly for twenty areas. Regional and division level +indexes for both populations are available for a subset of items and groups published. Indexes are +published for four regions and nine divisions. Regional indexes date to 1966; divisional indexes +are newer, dating to 2018. Indexes are monthly, with Semi-annual indexes +also calculated for selected items. + +City-size class indexes for both populations are available for two size classes +with a similar subset of groups and items. +Region/city-size indexes (for example, Midwest size class B/C)for both populations are also available monthly. + +Frequency of Observations: U.S. city average indexes, regional indexes, +division indexes, size class indexes, and three metro area indexes are monthly. 20 metro area indexes are bimonthly. + +Annual Averages: Annual averages are available for all unadjusted series +in the CW and CU. + +Base Periods: Most indexes have a base period of 1982-1984 = 100. Other +indexes, mainly newer indexes, are based more recently. The base period value is generally 100.0, +with rare exceptions where the base is set to 1000 to avoid loss of precision. The index +for the "Purchasing Power" values (AAOR and SAOR) have a base period value of 1.000. + +Data Characteristics: Indexes are published to three decimal places. + +Updating Schedule: Updates become available with the release of new data, typically between the 10th and 14th of the month +following the reference month. + +================================================================================== +Section 2 +================================================================================== + +The following Consumer Price Index (All Urban Consumers) files are on the BLS +internet in the sub-directory pub/time.series/cu: + + cu.data.0.Current - All current year-to-date + cu.data.1.AllItems - All items (item_code AA0, SA0) + cu.data.2.Summaries - Summaries (item_code SA0, SAF, + SAH, SAA, SAT, SAM, SAR, SAE, SAG, + SAS, SAC) + cu.data.3.AsizeNorthEast - A-Size areas in Northeast + (area_code A1 ...) + cu.data.4.AsizeNorthCentral - A-size areas in North Central + (area_code A2 ...) + cu.data.5.AsizeSouth - A-Size areas in South + (area_code A3 ...) + cu.data.6.AsizeWest - A-Size areas in West + (area_code A4 ...) + cu.data.7.OtherNorthEast - All other Northeast + (area_code 01, X1, D1) + cu.data.8.OtherNorthCentral - All other North Central + (area_code 02, X2, D2) + cu.data.9.OtherSouth - All other in South + (area_code 03, X3, D3) + cu.data.10.OtherWest - All other in West + (area_code 04, X4) + cu.data.11.USFoodBeverage - All US Food and Beverage + (area_code 0000, item_code SAF, SEF) + cu.data.12.USHousing - All US Housing (area_code 0000, + item_code SAH, SEH) + cu.data.13.USApparel - All US Apparel (area_code 0000, + item_code SAA, SEA) + cu.data.14.USTransportation - All US Transportation (area_code + 0000, item_code SAT, SET) + cu.data.15.USMedical - All US Medical (area_code 0000, + item_code SAM, SEM, SS57) + cu.data.16.USRecreation - All US Recreation (area_code 0000, + item_code SAR, SER, SS31, SS61, SS62) + cu.data.17.USEducationAndCommunication - All US Education and Communication + (area_code 0000, item_code SAE, + SEE, SS27) + cu.data.18.USOtherGoodsAndServices - All US Other Goods and Services + (area_code 0000, item_code SAG, SEG; + SS33) + cu.data.19.PopulationSize - All Population-size (area_code + A000, X000, D000) + cu.data.20.USCommoditiesServicesSpecial - All US Commodity and Services and + Special(area_code 0000, item_code + SA0, SAC, SAN, SAS) + cu.area - Area codes mapping file + cu.contacts - Contacts for cu survey + cu.footnote - Footnote codes mapping file + cu.item - Item codes mapping file + cu.MapErrors (TBR) - Map error codes mapping file + cu.period - Period codes mapping file + cu.series - All series and their beginning and end dates + cu.txt - General information + +Note: TBR = File that will be removed. +================================================================================= +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 download.bls.gov 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 +cu.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 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. + +Field #/Data Element Length Value(Example) + +1. series_id 17 CUSR0000SA0 + +2. area_code 4 0400 + +3. item_code 8 SA0E + +4. seasonal 1 S or U + +5. periodicity_code 1 R + +6. base_code 1 S + +7. base_period 20 1982-84=100 + +8. begin_year 4 1947 + +9. begin_period 3 M01 + +10. end_year 4 2002 + +11. end_period 3 M02 + + +The series_id (CUSR0000SA0) can be broken out into: + +Code Value + +survey abbreviation = CU +seasonal(code) = S +periodicity_code = R +area_code = 0000 +item_code = SA0 +================================================================================== +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 cu.data file is partitioned into a number of separate files: See Section 2 + +All of the above-referenced data files have the following format: + +Field #/Data Element Length Value(Example) + +1. series_id 17 CUUR0400AA0 + +2. year 4 1966 + +3. period 3 M12 + +4. value 12 53.3 + +5. footnote_codes 10 It varies + + +The series_id (CUUR0400AA0) can be broken out into: + +Code Value + +survey abbreviation = CU +seasonal(code) = U +periodicity_code = R +area_code = 0400 +item_code = AA0 +================================================================================ +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: cu.area + +Field #/Data Element Length Value(Example) + +1. area_code 4 0100 + +2. area_name 80 Text + + +File Name: cu.footnote + +Field #/Data Element Length Value(Example) + +1. footnote_code 1 R + +2. footnote_text 100 Text + + +File Name: cu.item + +Field #/Data Element Length Value(Example) + +1. item_code 8 AA0 + +2. item_name 100 Text + + +File Name: cu.period + +Field #/Data Element Length Value(Example) + +1. period 3 M02 + +2. period_abbr 5 FEB + +3. period_name 20 Text (e.g. February) +========================================================================================= +Section 7 +========================================================================================= +CONSUMER PRICE INDEX (CU) DATABASE ELEMENTS + +Data Element Length Value(Example) Description + +area_code 4 N or S, ,000-999 Unique code used to identify + Ex: A100 a specific geographic area. + +area_name 80 Text Name of specific geographic + Ex: MIAMI, FLA area. + +base_code 1 S=Standard reference Code identifying the type of + base base period used in index. + A=Alternate reference + base + +base_period 20 Identifies the base The actual base period used + period in calculating the index. + Ex: 1982-84=100 + +begin_period 3 M01-M13 or S01-S03 Identifies first data observation + Ex: MO6=June within the first year for which + (M=Monthly, M13=Annual data is available for a given + Avg, S=Semi-Annually) 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 or S01-S03 Identifies last data observation + Ex: M06=June within the last year for which + (M=Monthly, M13=Annual data is available for a given + Avg, S=Semi-Annually) time series. + +end_year 4 YYYY Identifies last year for which + Ex: 1980 data is available for a given + time series. + +footnote_code 1 R Identifies footnote for the data + series. + +footnote_text 100 Text Contains 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b/bls/cu/cu_series.parquet new file mode 100644 index 0000000000000000000000000000000000000000..e7226a37384dc093babeb5339f5c44570b23d14a --- /dev/null +++ b/bls/cu/cu_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:776c22ef458eb2d8922214a2d1dd829ec35d212533b6dfc0db24d2437718c7dc +size 82681 diff --git a/bls/cw/README.md b/bls/cw/README.md new file mode 100644 index 0000000000000000000000000000000000000000..5125faa4c93807ac546f010c5fc24237182669e2 --- /dev/null +++ b/bls/cw/README.md @@ -0,0 +1,41 @@ +# BLS survey `cw` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/cw/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `cw.txt`. + +`*_series.parquet` defines each series_id (labels); `*_data_*.parquet` holds series_id, year, period (M01-M12 monthly, Q0x quarterly, A01/M13 annual), value, footnote_codes; other files map codes to labels. + +| file | rows | columns | +|---|---|---| +| cw.area | 58 | area_code, area_name, display_level, selectable, sort_sequence | +| cw.aspect | 78853 | series_id, year, period, aspect_type, value, footnote_codes | +| cw.base | 2 | base_code, base_name | +| cw.contacts | 16 | Consumer Price Indexes Contacts | +| cw.data.0.Current | 1117894 | series_id, year, period, value, footnote_codes | +| cw.data.1.AllItems | 64031 | series_id, year, period, value, footnote_codes | +| cw.data.10.OtherWest | 295641 | series_id, year, period, value, footnote_codes | +| cw.data.11.USFoodBeverage | 119055 | series_id, year, period, value, footnote_codes | +| cw.data.12.USHousing | 63244 | series_id, year, period, value, footnote_codes | +| cw.data.13.USApparel | 33476 | series_id, year, period, value, footnote_codes | +| cw.data.14.USTransportation | 44245 | series_id, year, period, value, footnote_codes | +| cw.data.15.USMedical | 24018 | series_id, year, period, value, footnote_codes | +| cw.data.16.USRecreation | 27127 | series_id, year, period, value, footnote_codes | +| cw.data.17.USEducationAndCommunication | 20521 | series_id, year, period, value, footnote_codes | +| cw.data.18.USOtherGoodsAndServices | 17260 | series_id, year, period, value, footnote_codes | +| cw.data.19.PopulationSize | 34460 | series_id, year, period, value, footnote_codes | +| cw.data.2.Summaries | 287008 | series_id, year, period, value, footnote_codes | +| cw.data.20.USCommoditiesServicesSpecial | 80419 | series_id, year, period, value, footnote_codes | +| cw.data.3.AsizeNorthEast | 16436 | series_id, year, period, value, footnote_codes | +| cw.data.4.AsizeNorthCentral | 59884 | series_id, year, period, value, footnote_codes | +| cw.data.5.AsizeSouth | 11258 | series_id, year, period, value, footnote_codes | +| cw.data.6.AsizeWest | 45036 | series_id, year, period, value, footnote_codes | +| cw.data.7.OtherNorthEast | 229798 | series_id, year, period, value, footnote_codes | +| cw.data.8.OtherNorthCentral | 263132 | series_id, year, period, value, footnote_codes | +| cw.data.9.OtherSouth | 312824 | series_id, year, period, value, footnote_codes | +| cw.footnote | 2 | footnote_code, footnote_text | +| cw.item | 318 | item_code, item_name, display_level, selectable, sort_sequence | +| cw.period | 16 | period, period_abbr, period_name | +| cw.periodicity | 2 | periodicity_code, periodicity_name | +| cw.seasonal | 2 | seasonal_code, seasonal_text | +| cw.series | 7868 | series_id, area_code, item_code, seasonal, periodicity_code, base_code, base_period, series_title, footnote_codes, begin_year, begin_period, end_year, end_period | diff --git a/bls/cw/cw.txt b/bls/cw/cw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a97f018973f25a89f3d100ecd7b18d7746fe1860 --- /dev/null +++ b/bls/cw/cw.txt @@ -0,0 +1,378 @@ +Consumer Price Index (CW) + CW.txt + +Section Listing + +1. Survey Definition +2. FTP 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 definition of: CONSUMER PRICE INDEX - All Urban Wage earners and clerical workers (CW) + +Survey Description: The Consumer Price Index (CPI) is a statistical measure +of change, over time, of the prices of goods and services in major +expenditure groups--such as food, housing, apparel, transportation, and +medical care--typically purchased by urban consumers. Essentially, it +compares the cost of a sample "market basket" of goods and services in a +specific month relative to the cost of the same "market basket" in an +earlier reference period. This reference period is designated as the base +period. + +The CPI publishes indexes for two +populations; urban wage earners and clerical workers (CW), and all urban +consumers (CU). + +To construct the two indexes, thousands of prices for commodities and services purchased by consumers +are collected in a sample of 75 urban places. Rent data is collected in separate sample of thousands of rental units. +Comparison of indexes for individual CMSA's or cities show only the relative +change over time in prices between locations. These indexes cannot be used +to measure interarea differences in price levels or living costs. + +Summary Data Available: U.S. average indexes for both populations are +available for several hundred consumer items and groups of items. In addition, +many of the indexes have been adjusted for seasonality. The indexes +are monthly. Different indexes go back to different years, with the earliest, including all items, +dating to 1913. Semi-annual indexes have been +calculated for many items for comparison with semi-annual areas +mentioned below. Semi-annual indexes are available from 1984 forward. + +Area indexes for both populations are available for 23 urban places. For +each area, indexes are published for a subset of items and groups. The indexes +are published monthly for three areas and bimonthly for twenty areas. Regional and division level +indexes for both populations are available for a subset of items and groups published. Indexes are published +for four regions and nine divisions. Regional indexes date to 1966; divisional indexes are newer, dating to 2018. +Indexes are monthly, with Semi-annual indexes +also calculated for selected items. + +City-size class indexes for both populations are available for two size classes +with a similar subset of groups and items +Region/city-size indexes (for example, Midwest size class B/C)for both populations are also available monthly. + +Frequency of Observations: U.S. city average indexes, regional indexes, +division indexes, size class indexes, and three metro area indexes are monthly. 20 metro area indexes are bimonthly. + +Annual Averages: Annual averages are available for all unadjusted series +in the CW and CU. + +Base Periods: Most indexes have a base period of 1982-1984 = 100. Other +indexes, mainly newer indexes, are based more recently. The base period value is generally 100.0, +with rare exceptions where the base is set to 1000 to avoid loss of precision. The index +for the "Purchasing Power" values (AAOR and SAOR) have a base period value of 1.000. + +Data Characteristics: Indexes are published to three decimal places. + +Updating Schedule: Updates become available with the release of new data, typically between the 10th and 14th of the month +following the reference month. + +================================================================================== +Section 2 +================================================================================== + +The following Consumer Price Index (All Urban Consumers) files are on the BLS +internet in the sub-directory pub/time.series/cw: + + cw.data.0.Current - All current year-to-date + cw.data.1.AllItems - All items (item_code AA0, SA0) + cw.data.2.Summaries - Summaries (item_code SA0, SAF, + SAH, SAA, SAT, SAM, SAR, SAE, SAG, + SAS, SAC) + cw.data.3.AsizeNorthEast - A-Size areas in Northeast + (area_code A1 ...) + cw.data.4.AsizeNorthCentral - A-size areas in North Central + (area_code A2 ...) + cw.data.5.AsizeSouth - A-Size areas in South + (area_code A3 ...) + cw.data.6.AsizeWest - A-Size areas in West + (area_code A4 ...) + cw.data.7.OtherNorthEast - All other Northeast + (area_code 01, X1, D1) + cw.data.8.OtherNorthCentral - All other North Central + (area_code 02, X2, D2) + cw.data.9.OtherSouth - All other in South + (area_code 03, X3, D3) + cw.data.10.OtherWest - All other in West + (area_code 04, X4) + cw.data.11.USFoodBeverage - All US Food and Beverage + (area_code 0000, item_code SAF, SEF) + cw.data.12.USHousing - All US Housing (area_code 0000, + item_code SAH, SEH) + cw.data.13.USApparel - All US Apparel (area_code 0000, + item_code SAA, SEA) + cw.data.14.USTransportation - All US Transportation (area_code + 0000, item_code SAT, SET) + cw.data.15.USMedical - All US Medical (area_code 0000, + item_code SAM, SEM, SS57) + cw.data.16.USRecreation - All US Recreation (area_code 0000, + item_code SAR, SER, SS31, SS61, SS62) + cw.data.17.USEducationAndCommunication - All US Education and Communication + (area_code 0000, item_code SAE, + SEE, SS27) + cw.data.18.USOtherGoodsAndServices - All US Other Goods and Services + (area_code 0000, item_code SAG, SEG; + SS33) + cw.data.19.PopulationSize - All Population-size (area_code + A000, X000, D000) + cw.data.20.USCommoditiesServicesSpecial - All US Commodity and Services and + Special(area_code 0000, item_code + SA0, SAC, SAN, SAS) + cw.area - Area codes mapping file + cw.contacts - Contacts for cw survey + cw.footnote - Footnote codes mapping file + cw.item - Item codes mapping file + cw.MapErrors (TBR) - Map error codes mapping file + cw.period - Period codes mapping file + cw.series - All series and their beginning and end dates + cw.txt - General information + +Note: TBR = File that will be removed. +================================================================================= +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 download.bls.gov 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 +cw.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 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. + +Field #/Data Element Length Value(Example) + +1. series_id 17 CWSR0000SA0 + +2. area_code 4 0400 + +3. item_code 8 SA0E + +4. seasonal 1 S or U + +5. periodicity_code 1 R + +6. base_code 1 S + +7. base_period 20 1982-84=100 + +8. begin_year 4 1947 + +9. begin_period 3 M01 + +10. end_year 4 2002 + +11. end_period 3 M02 + + +The series_id (CWSR0000SA0) can be broken out into: + +Code Value + +survey abbreviation = CW +seasonal(code) = S +periodicity_code = R +area_code = 0000 +item_code = SA0 +================================================================================== +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 cw.data file is partitioned into a number of separate files: See Section 2 + +All of the above-referenced data files have the following format: + +Field #/Data Element Length Value(Example) + +1. series_id 17 CWUR0400AA0 + +2. year 4 1966 + +3. period 3 M12 + +4. value 12 53.3 + +5. footnote_codes 10 It varies + + +The series_id (CWUR0400AA0) can be broken out into: + +Code Value + +survey abbreviation = CW +seasonal(code) = U +periodicity_code = R +area_code = 0400 +item_code = AA0 +================================================================================ +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: cw.area + +Field #/Data Element Length Value(Example) + +1. area_code 4 0100 + +2. area_name 80 Text + + +File Name: cw.footnote + +Field #/Data Element Length Value(Example) + +1. footnote_code 1 R + +2. footnote_text 100 Text + + +File Name: cw.item + +Field #/Data Element Length Value(Example) + +1. item_code 8 AA0 + +2. item_name 100 Text + + +File Name: cw.period + +Field #/Data Element Length Value(Example) + +1. period 3 M02 + +2. period_abbr 5 FEB + +3. period_name 20 Text (e.g. February) +========================================================================================= +Section 7 +========================================================================================= +CONSUMER PRICE INDEX (CW) DATABASE ELEMENTS + +Data Element Length Value(Example) Description + +area_code 4 N or S, ,000-999 Unique code used to identify + Ex: A100 a specific geographic area. + +area_name 80 Text Name of specific geographic + Ex: MIAMI, FLA area. + +base_code 1 S=Standard reference Code identifying the type of + base base period used in index. + A=Alternate reference + base + +base_period 20 Identifies the base The actual base period used + period in calculating the index. + Ex: 1982-84=100 + +begin_period 3 M01-M13 or S01-S03 Identifies first data observation + Ex: MO6=June within the first year for which + (M=Monthly, M13=Annual data is available for a given + Avg, S=Semi-Annually) 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 or S01-S03 Identifies last data observation + Ex: M06=June within the last year for which + (M=Monthly, M13=Annual data is available for a given + Avg, S=Semi-Annually) time series. + +end_year 4 YYYY Identifies last year for which + Ex: 1980 data is available for a given + time series. + +footnote_code 1 R Identifies footnote for the data + series. + +footnote_text 100 Text Contains 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b/bls/cw/cw_series.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f852c9ddcc30271d6bf0d7924f5e783f010ff051 --- /dev/null +++ b/bls/cw/cw_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:99e624fe9a17bc981d6817ee9c648f023e2af832835d2089ab5aa9e2ea17c1e3 +size 78468 diff --git a/bls/cx/README.md b/bls/cx/README.md new file mode 100644 index 0000000000000000000000000000000000000000..8a909056a514fddc97acbc083e7307679ee27be0 --- /dev/null +++ b/bls/cx/README.md @@ -0,0 +1,19 @@ +# BLS survey `cx` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/cx/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +`*_series.parquet` defines each series_id (labels); `*_data_*.parquet` holds series_id, year, period (M01-M12 monthly, Q0x quarterly, A01/M13 annual), value, footnote_codes; other files map codes to labels. + +| file | rows | columns | +|---|---|---| +| cx.aspect | 13096110 | series_id, year, period, aspect_type, value, footnote_codes | +| cx.category | 4 | category_code, category_text, display_level, selectable, sort_sequence | +| cx.characteristics | 164 | demographics_code, characteristics_code, characteristics_text, display_level, selectable, sort_sequence | +| cx.contacts | 10 | Consumer Expenditure Surveys Contacts | +| cx.data.1.AllData | 2182685 | series_id, year, period, value, footnote_codes | +| cx.demographics | 19 | demographics_code, demographics_text, display_level, selectable, sort_sequence | +| cx.footnote | 8 | footnote_code, footnote_text | +| cx.item | 1214 | subcategory_code, item_code, item_text, display_level, selectable, sort_sequence | +| cx.process | 1 | process_code, process_text, display_level, selectable, sort_sequence | +| cx.series | 183935 | series_id, seasonal, category_code, subcategory_code, item_code, demographics_code, characteristics_code, process_code, series_title, footnote_codes, begin_year, begin_period, end_year, end_period | +| cx.subcategory | 23 | category_code, subcategory_code, subcategory_text, display_level, selectable, sort_sequence | diff --git a/bls/cx/cx_aspect.parquet b/bls/cx/cx_aspect.parquet new file mode 100644 index 0000000000000000000000000000000000000000..d851870e8b96edaa2af63f7eec04753185838aa3 --- /dev/null +++ b/bls/cx/cx_aspect.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be40b6eddb026384303b364f3553976e82fb707bd5f6df58d2c3c48126b052d6 +size 23187482 diff --git a/bls/cx/cx_category.parquet b/bls/cx/cx_category.parquet new file mode 100644 index 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+size 3344 diff --git a/bls/cx/cx_series.parquet b/bls/cx/cx_series.parquet new file mode 100644 index 0000000000000000000000000000000000000000..5e276813be1b2d980b514a7e611379dfc66ea29b --- /dev/null +++ b/bls/cx/cx_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:394eab3a2d8cab203600e6623705cd128ee0d795d37ad8c52adb3505e114017f +size 1484385 diff --git a/bls/cx/cx_subcategory.parquet b/bls/cx/cx_subcategory.parquet new file mode 100644 index 0000000000000000000000000000000000000000..edad93bb7194c1b39d34165f3c7c78267865cb99 --- /dev/null +++ b/bls/cx/cx_subcategory.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2675c137186143327e904be4d8c9ecfd853916186636085c942a029f8f9d9b00 +size 4717 diff --git a/bls/eb/README.md b/bls/eb/README.md new file mode 100644 index 0000000000000000000000000000000000000000..ba6472fbfaaf13bdd653a82ec66e8d604c9f2a4e --- /dev/null +++ b/bls/eb/README.md @@ -0,0 +1,18 @@ +# BLS survey `eb` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/eb/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `eb.txt`. + +`*_series.parquet` defines each series_id (labels); `*_data_*.parquet` holds series_id, year, period (M01-M12 monthly, Q0x quarterly, A01/M13 annual), value, footnote_codes; other files map codes to labels. + +| file | rows | columns | +|---|---|---| +| eb.contacts | 14 | Employee Benefits Survey Contacts | +| eb.data.1.AllData | 3235 | series_id, year, period, value, footnote_codes | +| eb.footnote | 5 | footnote_code, footnote_text | +| eb.period | 1 | period, period_abbr, period_name | +| eb.seasonal | 2 | seasonal_code, seasonal_text | +| eb.series | 810 | series_id, title_code, type_code, begin_year, begin_period, end_year, end_period | +| eb.title | 634 | title_code, title_name | +| eb.type | 4 | type_code, type_name | diff --git a/bls/eb/eb.txt b/bls/eb/eb.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad7097b6a82dac209e8ea0676295eb23b2f61565 --- /dev/null +++ b/bls/eb/eb.txt @@ -0,0 +1,295 @@ + Employee Benfits Survey (EB) + eb.txt + +Section Listing + +1. Survey Definition +2. FTP 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 definition of: EMPLOYEE BENEFITS SURVEY + +Survey Description: The Employee Benefits Survey (EBS) is an annual survey +of the incidence and provisions of selected benefits provided by employers. +The survey collects data from a sample of approximately 6,000 private sector +and State and local government establishments. The data are presented as a +percentage of employees who participate in a certain benefit, or as an +average benefit provision (for example, the average number of paid holidays +provided to employees per year). + +The survey covers paid leave benefits such as holidays and vacations, and +person, funeral, jury duty, military, parental, and sick leave; sickness and +accident, long-term disability, and life insurance; medical, dental, and +vision care plans; defined benefit pension and defined contribution plans; +flexible benefits plans; reimbursement accounts; and unpaid parental leave. +Also, data are tabulated on the incidence of several other benefits, such as +severance pay, child-care assistance, wellness programs, and employee +assistance programs. + +Summary Data Available: Surveys of employees in medium and large private +establishments conducted over the 1979-86 period included establishments +that employed at least 50, 100, or 250 workers, depending on the industry +(most service industries were excluded). The survey conducted in 1987 +covered only State and local governments with 50 or more employees. The +surveys conducted in 1988 and 1989 included medium and large establishments +with 100 workers or more in all private industries. All surveys conducted +over the 1979-89 period excluded establishments in Alaska and Hawaii, as +well as part-time employees. + +Beginning in 1990, surveys of State and local governments and small +establishments are conducted in even-numbered years and surveys of medium +and large establishments are conducted in odd-numbered years. The small +establishment survey includes all private nonfarm establishments with fewer +than 100 workers, while the State and local government survey includes all +governments, regardless of the number of workers. All three surveys include +full- and part-time workers, and workers in all 50 States and the District +of Columbia. + + +Data available on LABSTAT include incidence of selected benefits and the +average benefit amount for selected provisions, from all three surveys. + +Frequency of Observations: Data are annual. + +Base Periods: Not applicable. + +Data Characteristics: All percent of workers are in whole percents; average +holidays are stored with one decimal place; average employee contributions +to health care benefits are stored in dollars and cents; all other averages +are whole numbers. + +Updating Schedule: Updates are available annually, typically in the summer +following the reference year of the data. + +References: BLS Handbook of Methods, Chapter 9, "Employee Benefits + Survey," Bulletin 2414 (1992). + +Contact for Further Information: Staff Employee Benefits Survey + (202) 606-6222 +================================================================================== +Section 2 +================================================================================== +The following Employee Benefits Survey files are on the BLS internet in the +sub-directory pub/time.series/eb: + + + eb.contacts - Contacts for EB survey + eb.data.1.AllData - All data + eb.period - Period codes mapping file + eb.series - All series with beginning and end dates + eb.title - Title codes mapping file + eb.txt - General information + eb.type - Type codes mapping file + +================================================================================= +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 FTP 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 +eb.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 17 EBU401KINC0000ML + +2. title_code 11 401KINC0000 + +3. type_code 2 ML + +4. begin_year 4 1985 + +5. begin_period 3 A01 + +6. end_year 4 1997 + +7. end_period 3 A01 + + +The series_id (EBU401KINC0000SL) can be broken out into: + +Code Value + +survey abbreviation = EB +seasonal (code) = U +title_code = 401KINC0000 +type_code = SL +================================================================================== +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 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: eb.data.1.AllData + +The above-named data file has the following format: + +Field #/Data Element Length Value(Example) + +1. series_id 17 EBU401KINC0000SL + +2. year 4 1985 + +3. period 3 A01 + +4. value 12 26 + +5. footnote_codes 10 It varies + + +The series_id (EBU401KINC0000SL) can be broken out into: + +Code Value + +survey abbreviation = EB +seasonal (code) = U +title_code = 401KINC0000 +type_code = SL +================================================================================ +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: eb.period + +Field #/Data Element Length Value(Example) + +1. period 3 A01 + +2. period_abbr 5 ANN + +3. period_name 20 Text + + +File Name: eb.title + +Field #/Data Element Length Value(Example) + +1. title_code 11 401KINC0000 + +2. title_name 100 Text + + +File Name: eb.type + +Field #/Data Element Length Value(Example) + +1. type_code 2 AP + +2. type_name 50 Text +========================================================================================= +Section 7 +========================================================================================= +EMPLOYEE BENEFITS SURVEY DATABASE ELEMENTS + + +Data Element Length Value(Example) Description + + +begin_period 3 A01=Annual Identifies the first data + observation within the first + year for which data is + available for a given time + series. + +begin_year 4 YYYY Identifies first year for which + Ex: 1992 data is available for a given + time series. + +end_period 3 A01=Annual Identifies last data observation + within the last year for which + data is available for a given + time series. + +end_year 4 YYYY Identifies last year for which + Ex: 1997 data is available for a given + time series. + +footnote_codes 10 It varies Identifies footnotes for the data + series. + +period 3 A01=Annual Identifies period for which data + is observed. + +period_abbr 5 JAN Abbreviation of period name. + + +period_name 20 Text Full name of period to which + Ex: January the data observation refers. + +series_id 17 EBU401KINC0000SL Code identifying the + specific series. + +title_code 11 Title Code identifying title of + identifier data series. + Ex: LUNCHINC000 + +title_name 100 Text Name of series title. + Ex: Incidence of paid + lunch time + +type_code 2 Type identifier Code identifying type of + ML=Med/Lge private establishment. + SM=Small private + SL=State/Local government + +type_name 50 Text Name of type of establishment. + +value 12 Data value Data value for series. + +year 4 YYYY Identifies year of observation. + Ex: 1990 + \ No newline at end of file diff --git a/bls/eb/eb_contacts.parquet b/bls/eb/eb_contacts.parquet new file mode 100644 index 0000000000000000000000000000000000000000..4b53c775d2d9616853312c5647886738a8d579c5 --- /dev/null +++ b/bls/eb/eb_contacts.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0c7cfb81117f9ac61a164b38b913283ac1945f7cdc52c1c4d0c5c4d890c0f1ba +size 2016 diff --git a/bls/eb/eb_data_1_AllData.parquet b/bls/eb/eb_data_1_AllData.parquet new file mode 100644 index 0000000000000000000000000000000000000000..d195f547d547b1cb62f967fbb7ec49793fd46b23 --- /dev/null +++ b/bls/eb/eb_data_1_AllData.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c3ec1beb51cae534a228103ee00e66fb434ac0ae750cfcaaecd2b7b7bae9bce6 +size 14415 diff --git a/bls/eb/eb_footnote.parquet b/bls/eb/eb_footnote.parquet new file mode 100644 index 0000000000000000000000000000000000000000..71b795627f93c2bc01a2f63416d94885fdac0366 --- /dev/null +++ b/bls/eb/eb_footnote.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b4358bec0ea06f4688f00a1a1fa13ac520fef80bb0036d0ecc63068554c6c621 +size 2193 diff --git a/bls/eb/eb_period.parquet b/bls/eb/eb_period.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f7a0276eb1d0f1c41e5635e5e783aacd1af954a7 --- /dev/null +++ b/bls/eb/eb_period.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c130bf08d37d60d0705d3be87a7bb3f15a239eb5bc6e85c7c4c0226820a76032 +size 2229 diff --git a/bls/eb/eb_seasonal.parquet b/bls/eb/eb_seasonal.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f9a2f1fd0d823051faf42f36765638a3afad1c6f --- /dev/null +++ b/bls/eb/eb_seasonal.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a60b694ad35d825ec374b3fd8125a96c3feac221d8b94eabf894653aa641fbe9 +size 1858 diff --git a/bls/eb/eb_series.parquet b/bls/eb/eb_series.parquet new file mode 100644 index 0000000000000000000000000000000000000000..2f73dce4fbe01ce72fd61679514f731da7213e65 --- /dev/null +++ b/bls/eb/eb_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:60b9935d167bd4ac0eb7e55f4e5f7205c34318fb25e4b90e3bc7323fc3c4c656 +size 7607 diff --git a/bls/eb/eb_title.parquet b/bls/eb/eb_title.parquet new file mode 100644 index 0000000000000000000000000000000000000000..d00acb90e81ec27ce721a3cd79d8917f8bb0da4c --- /dev/null +++ b/bls/eb/eb_title.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0bd191ac98852a59d9973e91fe5146da9c820dadd17dac5a234e2398831ea9f7 +size 11186 diff --git a/bls/eb/eb_type.parquet b/bls/eb/eb_type.parquet new file mode 100644 index 0000000000000000000000000000000000000000..e258ca1fdd91a33fe4297124e48500ead5e51b96 --- /dev/null +++ b/bls/eb/eb_type.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9206d8ae1713de4c9b6dfb496511ba490f4be84e66de4db77f1bbf22767ccd22 +size 1838 diff --git a/bls/ec/README b/bls/ec/README new file mode 100644 index 0000000000000000000000000000000000000000..5b271164d91536dcd1a609b2d529af9b8114a122 --- /dev/null +++ b/bls/ec/README @@ -0,0 +1,80 @@ +The following Employment Cost Index files are on the BLS internet in the subdirectory +pub/time.series/ec: + + contact.doc - Contacts for BLS surveys + ec.compensation - Comp_code mapping file + ec.data.0.Current- Employment Cost Index data for current year + ec.data.1.AllData- All Employment Cost Index data + ec.doc - General information + ec.group - Group_code mapping file + ec.ownership - Ownership_code mapping file + ec.period - Period_code mapping file + ec.periodicity - Periodicity_code mapping file + ec.series - All series and their beginning dates + + + +Both of the above data files (ec.data.0.Current & ec.data.1.AllData) have the following +format: + + series_id period + | | + --------- --- + ECU12803Q 1993 Q01 0.3 + ---- --- + | | + year value + + + + + The series_id can be broken down into: + + + Series ownership_code + | comp_code | + | | | + -- - - + EC U 1 280 3 Q + - - - + | | | + | group_code | + seasonal periodicity_code + + + + + CODE DEFINITIONS + + + Series: EC - Employment Cost Index + + seasonal: U - unadjusted data + S - seasonally adjusted data + + + comp_code: 1 - Total Compensation + 2 - Wages and salaries + 3 - Benefits + + + group_code: Industry, occupation classification codes + see pub/time.series/ec/ec.group for a detailed + explanation of all group codes. + + + ownership_code: 1 - Civilian + 2 - Private + 3 - State and Local government + + + periodicity_code: I - Index + Q - 3 month percent change + A - 12 month percent change + + + period: Q01 - 1st Quarter + Q02 - 2nd Quarter + Q03 - 3rd Quarter + Q04 - 4th Quarter + Q05 - Annual Average (NOT USED) diff --git a/bls/ec/README.md b/bls/ec/README.md new file mode 100644 index 0000000000000000000000000000000000000000..d151a0d7ebec861885c200c948df21e4ecb57a1f --- /dev/null +++ b/bls/ec/README.md @@ -0,0 +1,23 @@ +# BLS survey `ec` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/ec/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `ec.txt`. + +`*_series.parquet` defines each series_id (labels); `*_data_*.parquet` holds series_id, year, period (M01-M12 monthly, Q0x quarterly, A01/M13 annual), value, footnote_codes; other files map codes to labels. + +| file | rows | columns | +|---|---|---| +| .message | 10 | Special Notice to Users of Employment Cost Index Data: | +| README | -1 | | +| ec.compensation | 3 | comp_code, comp_text | +| ec.contacts | -1 | | +| ec.data.1.AllData | 77459 | series_id, year, period, value, footnote_codes | +| ec.group | 111 | group_code group_name | +| ec.old.series.081297 | 996 | series_id, comp_code, group_code, ownership_code, periodicity_code, seasonal, begin_year, begin_period, end_year, end_period | +| ec.ownership | 3 | ownership_code, ownership_name | +| ec.period | 5 | period, period_abbr, period_name | +| ec.periodicity | 3 | periodicity_code, periodicity_text | +| ec.seasonal | 2 | seasonal_code, seasonal_text | +| ec.series | 851 | series_id, comp_code, group_code, ownership_code, periodicity_code, seasonal, begin_year, begin_period, end_year, end_period | +| ftpubec.tar | -1 | | diff --git a/bls/ec/_message.parquet b/bls/ec/_message.parquet new file mode 100644 index 0000000000000000000000000000000000000000..b4100e0ff6da4967de025cbe36f8484812e6ff99 --- /dev/null +++ b/bls/ec/_message.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a17adb566afe0a4c0a15b1a0e0a32dee4b50270818037753bda89e612374ac3 +size 2110 diff --git a/bls/ec/ec.contacts b/bls/ec/ec.contacts new file mode 100644 index 0000000000000000000000000000000000000000..86fa6a045cf2e4ad00b3cd48f79ac02453959b27 --- /dev/null +++ b/bls/ec/ec.contacts @@ -0,0 +1,56 @@ +Employment Cost Trends Contacts + + +The Office of Compensation Levels and Trends, Branch of Survey Data +Analysis and Publications, will be glad to assist you with questions +about the Employment Cost Index, the Employer Costs for Employee +Compensation, the Employee Benefits Survey, Occupational Compensation +Surveys, and the National Compensation Survey (formerly known as +COMP2000). + +E-mail Address: ocltinfo@bls.gov + +Phone: (202) 691-6199 (Monday - Friday, 8:30 A.M. - 4:30 P.M.) + +FAX: (202) 691-6647 + +TDD phone: (202) 691-5987 +TDD Message Referral Phone Number: 1-800-326-2577 + +Mailing address: +Bureau of Labor Statistics +OCLT/SDAP - Suite 4175 +2 Massachusetts Ave., N.E. +Washington, D.C. 20212-0001 + + + +Other Ways to Access our Data: + +Federal Depository Libraries are free to the public and receive all BLS publications. +Locations can be found at http://www.access.gpo.gov/su_docs/fdlp/index.html. + +Sales Publications: + + BLS Chicago Sales Office (312) 353-1880 +Mailing address: + Bureau of Labor Statistics + Publications Sales Center + P.O. Box 2145 + Chicago, IL 60690 + + GPO Ordering Information: URL: http://bookstore.gpo.gov/locations/index.html + + +Subscriptions: + +GPO Superintendent of Documents +P.O. Box 371954 +Pittsburgh, PA 15250-7954 + +BLS Recorded announcements: (202) 691-5200 + +BLS Fax On Demand: (202) 691-6325 (ECI and ECEC News Releases) + +****************************************************************************** + diff --git a/bls/ec/ec.txt b/bls/ec/ec.txt new file mode 100644 index 0000000000000000000000000000000000000000..0296e1f23201a597d87349138672d2ca91545b07 --- /dev/null +++ b/bls/ec/ec.txt @@ -0,0 +1,359 @@ + + Employment Cost Index (EC) + ec.txt + +Section Listing + +1. Survey Definition +2. FTP 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 definition of: EMPLOYMENT COST INDEX (EC) + +Survey Description: The Employment Cost Index (ECI) is a quarterly measure + of the change in the cost of labor, free from the influence of employment +shifts among occupations and industries. The compensation series includes +changes in wages and salaries plus employer costs for employee benefits. +The wage and salary series and benefit cost series provide the change for +the two components of compensation. Employee benefit costs are calculated +as cents-per-hour-worked for 23 benefits ranging from employer payments for +Social Security to paid time off for holidays. + +The survey covers all occupations in the civilian economy, which includes +the total private economy (excluding farms and households), and the public +sector (excluding the Federal government). Statistics are published for +the private and public sectors separately, and the data are combined in a +measure of change for the civilian economy. + +The data are collected from a probability sample of about 23,000 occupations +with 4,500 sample establishments in private industry and about 8,800 +occupations within 1,300 sample establishments in State and local +governments. The sample establishments are classified in industry +categories based on the 1987 Standard Industrial Classification (SIC), as +defined by the U.S. Office of Management and Budget. Within an +establishment, specific job categories are selected to represent broader +occupational definitions. Since June 1986, the jobs have been classified +according to the 1980 Census of Occupations. Prior to June 1986, they were +classified according to the 1970 Census. + +Summary Data Available: For private industry workers, change data are +available for total compensation costs, for wages and salaries alone, and +for benefit costs alone. Wage and salary change and compensation cost +change data are available by major occupational and industry groups, as well +as by region and bargaining status. Wage and salary change information is +available from 1975 to the present for most of these series. Compensation +cost change data are available from 1980 to the present for most series. +For 10 occupational and industry series, benefit cost change data are +available from the early 1980's to the present. + +For State and local governments and the civilian economy (State and local +governments plus private industry), wage and salary change and compensation +cost change data are available for major occupational and industry series. +The data for all these series are provided from June 1981 to present. + +In most cases, index levels and 3-month and 12-month percent changes are +available. Some of the newer industry and occupation series for private +industry workers do not have data available back to June 1981. + +Frequency of Observations: Data are quarterly in all cases. + +Base Periods: In most cases, index levels have a base period of +June 1989 = 100. + +Data Characteristics: All percent changes and indexes are stored with one +decimal place. + +Updating Schedule: Updates are available about four weeks following the end +of the reference quarter. Reference quarters end in March, June, September, +and December. +================================================================================== +Section 2 +================================================================================== + +The following Employment Cost Index files are on the BLS internet in the +sub-directory pub/time.series/ec: + + ec.contacts - Contacts for EC survey + ec.compensation - Compensation codes mapping file + ec.data.0.Current - All current year-to-date data + ec.data.1.AllData - All data + ec.group - Group codes mapping file + ec.old.series.081297(TBR) + ec.ownership - Ownership codes mapping file + ec.period - Period codes mapping file + ec.periodicity - Periodicity codes mapping file + ec.series - All series and their beginning and end dates + ec.txt - General information + ftpubec.tar(TBR) + README + +Note: TBR = File that will be removed. +================================================================================= +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 FTP 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 +ec.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 17 ECS10001I + +2. comp_code 1 1 + +3. group_code 3 110 + +4. ownership_code 1 2 + +5. periodicity_code 1 A,Q or I + +6. seasonal 1 S or U + +7. begin_year 4 1982 + +8. begin_period 3 Q01-Q05 + +9. end_year 4 2001 + +10. end_period 3 Q01-Q05 + + +The series_id (ECU12802Q) can be broken out into: + +Code Value + +survey abbreviation = EC +seasonal(code) = U +comp_code = 1 +group_code = 280 +ownership_code = 2 +periodicity_code = Q +================================================================================== +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 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. + +The ec.data file is partitioned into two separate files: + + 1. ec.data.0.Current - All current year-to-date data + 2. ec.data.1.AllData - All data + +Both of the above data files have the following format: + +Field #/Data Element Length Value(Example) + +1. series_id 17 ECU12802Q + +2. year 4 1993 + +3. period 3 Q01 + +4. value 12 110.3 + +5. footnote_codes 10 It varies + + +The series_id (ECU12802Q) can be broken out into: + +Code Value + +survey abbreviation = EC +seasonal(code) = U +comp_code = 1 +group_code = 280 +ownership_code = 2 +periodicity_code = Q +================================================================================ +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: ec.compensation + +Field #/Data Element Length Value(Example) + +1. comp_code 1 1 + +2. comp_text 20 Text + + +File Name: ec.group + +Field #/Data Element Length Value(Example) + +1. group_code 3 101 + +2. group_name 100 Text + + +File Name: ec.ownership + +Field #/Data Element Length Value(Example) + +1. ownership_code 1 2 + +2. ownership_name 40 Text + + +File Name: ec.period + +Field #/Data Element Length Value(Example) + +1. period 3 Q01 + +2. period_abbr 5 QTR2 + +3. period_name 20 Text + + +File Name: ec.periodicity + +Field #/Data Element Length Value(Example) + +1. periodicity_code 1 A,I or Q + +2. periodicity_text 30 Text + +========================================================================================= +Section 7 +========================================================================================= +EMPLOYMENT COST INDEX (EC) DATABASE ELEMENTS + + +Data Element Length Value(Example) Description + +begin_period 3 Q01-Q05 Identifies first data observation + Ex: Q01=1st Quarter within the first year for which + (Q=Quarterly, Q05= data is available for a given + Annual Avg) time series. + +begin_year 4 YYYY Identifies first year for which + Ex: 1985 data is available for a given + time series. + +comp_code 1 1=Total compensation Code identifying the compensation + 2=Wages & salaries component of the observation. + 3=Benefits + +comp_text 20 Text Name identifying the + Ex: Benefits compensation component of + the observation. + +end_period 3 Q01-Q05 Identifies last data observation + Ex: Q01=1st Quarter within the last year for which + (Q=Quarterly, Q05= data is available for a given + Annual Avg) time series. + +end_year 4 YYYY Identifies last year for which + Ex: 1990 data is available for a given + time series. + +footnote_codes 10 It varies Identifies footnotes for the data + series. + +group_code 3 000-999 Code identifying worker group to + which data observation pertains. + +group_name 100 Text Name of worker group to which + Ex: Service workers data observation pertains. + +ownership_code 1 1=Civilian Code identifying the sector of + 2=Private economy to which data pertain. + 3=State & local + government + +ownership_name 40 Text Name of sector of economy to + Ex: Civilian nonfarm which data pertain. + + + +period_abbr 5 Period name Abbrevation of period name. + abbreviation + +period 3 Q01-Q05 Identifies period for which + Ex: Q01=1st Quarter data is observed. + (Q=Quarterly, Q05= + Annual Avg) + +period_name 20 Text Full name of period to which + the data observation refers. + +periodicity_ 1 A=12 Month % change Code identifying the level +code Q=3 Month % change of change in compensation + I=Index compared to the prior period. + +periodicity_ 30 Text Name indicating the level +text Ex: I=Index level of change in compensation + compared to the prior period. + +seasonal 1 S=Seasonally Code identifying whether the + Adjusted data are seasonally adjusted. + U=Unadjusted + +series_id 17 ECS10001I Code identifying the specific + series. + +value 12 110.3 Data value for series. + +year 4 YYYY Identifies year of observation. + Ex: 1990 + + + + diff --git a/bls/ec/ec_compensation.parquet b/bls/ec/ec_compensation.parquet new file mode 100644 index 0000000000000000000000000000000000000000..483fdb085c3fc5611cce8543dd7f877f5cbd7a18 --- /dev/null +++ b/bls/ec/ec_compensation.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a79aeed316fe52c27a596c106bd8e498748765500b55dd3d21e263fe5d67e512 +size 1790 diff --git a/bls/ec/ec_data_1_AllData.parquet b/bls/ec/ec_data_1_AllData.parquet new file mode 100644 index 0000000000000000000000000000000000000000..cd7c2be413af7394cd4efbb33d5cd407dc3bf681 --- /dev/null +++ b/bls/ec/ec_data_1_AllData.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:93820413ea4e692c81b4423a0ea47101b5c1425a5c8cbdd9e0f0b5fc7bb20d87 +size 110755 diff --git 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+version https://git-lfs.github.com/spec/v1 +oid sha256:b2a899bf74c4d6d90c8c148ab9a84f5ddc9093e4c3fb44e955570ebb93745957 +size 1884 diff --git a/bls/ec/ec_period.parquet b/bls/ec/ec_period.parquet new file mode 100644 index 0000000000000000000000000000000000000000..4b6e83e11b42b05a3c732519754e3c559ae4b54c --- /dev/null +++ b/bls/ec/ec_period.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1b21d9f1c44c762bde83e863e1d5e2b7ce306719cc8963be315fdc3fb0b8ca55 +size 2358 diff --git a/bls/ec/ec_periodicity.parquet b/bls/ec/ec_periodicity.parquet new file mode 100644 index 0000000000000000000000000000000000000000..76f28e8ed380cf9f43ffe3f115620ba5ee9bc7fb --- /dev/null +++ b/bls/ec/ec_periodicity.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3b9a24f32ad78b9a3e42ecb377eb4b3544a97cff567127a96047b9b36d85db8a +size 1908 diff --git a/bls/ec/ec_seasonal.parquet b/bls/ec/ec_seasonal.parquet new file mode 100644 index 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diff --git a/bls/ee/README.md b/bls/ee/README.md new file mode 100644 index 0000000000000000000000000000000000000000..cce39a2cc50a99c68af325412561299352dbac09 --- /dev/null +++ b/bls/ee/README.md @@ -0,0 +1,99 @@ +# BLS survey `ee` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/ee/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `ee.txt`. + +`*_series.parquet` defines each series_id (labels); `*_data_*.parquet` holds series_id, year, period (M01-M12 monthly, Q0x quarterly, A01/M13 annual), value, footnote_codes; other files map codes to labels. + +| file | rows | columns | +|---|---|---| +| .message | 5 | 10/18/94 | +| ee.contacts | 6 | National Current Employment Statistics (CES) Contacts | +| ee.data.1.CurrentSeasAE | 21896 | series_id, year, period, value, footnote_codes | +| ee.data.10.TradeAECurr | 20013 | series_id, year, period, value, footnote_codes | +| ee.data.11.FireAECurr | 6349 | series_id, year, period, value, footnote_codes | +| ee.data.12.ServicesAECurr | 21017 | series_id, year, period, value, footnote_codes | +| ee.data.13.GovtAECurr | 6736 | series_id, year, period, value, footnote_codes | +| ee.data.14.TotsWWPWCurr | 10867 | series_id, year, period, value, footnote_codes | +| ee.data.15.ManufactureWWPWCurr | 117364 | series_id, year, period, value, footnote_codes | +| ee.data.16.ServiceProdTPUWWPWCurr | 11057 | series_id, year, period, value, footnote_codes | +| ee.data.17.TradeWWPWCurr | 32176 | series_id, year, period, value, footnote_codes | +| ee.data.18.FireWWPWCurr | 9077 | series_id, year, period, value, footnote_codes | +| ee.data.19.ServicesWWPWCurr | 35537 | series_id, year, period, value, footnote_codes | +| ee.data.2.CurrentSeasPWWW | 13536 | series_id, year, period, value, footnote_codes | +| ee.data.20.GovtWWCurr | 2364 | series_id, year, period, value, footnote_codes | +| ee.data.21.TotsAHECurr | 5548 | series_id, year, period, value, footnote_codes | +| ee.data.22.ManufactureAHECurr | 68484 | series_id, year, period, value, footnote_codes | +| ee.data.23.ServiceProdTPUAHECurr | 4556 | series_id, year, period, value, footnote_codes | +| ee.data.24.TradeAHECurr | 12279 | series_id, year, period, value, footnote_codes | +| ee.data.25.FireAHECurr | 2773 | series_id, year, period, value, footnote_codes | +| ee.data.26.ServicesAHECurr | 15049 | series_id, year, period, value, footnote_codes | +| ee.data.27.TotsAWCurr | 11096 | series_id, year, period, value, footnote_codes | +| ee.data.28.ManufactureAWCurr | 190719 | series_id, year, period, value, footnote_codes | +| ee.data.29.ServiceProdTPUAWCurr | 9112 | series_id, year, period, value, footnote_codes | +| ee.data.3.CurrentSeasOther | 22928 | series_id, year, period, value, footnote_codes | +| ee.data.30.TradeAWCurr | 24558 | series_id, year, period, value, footnote_codes | +| ee.data.31.FireAWCurr | 5546 | series_id, year, period, value, footnote_codes | +| ee.data.32.ServicesAWCurr | 30098 | series_id, year, period, value, footnote_codes | +| ee.data.33.TotsOtherCurr | 1770 | series_id, year, period, value, footnote_codes | +| ee.data.34.ManufactureOtherCurr | 10128 | series_id, year, period, value, footnote_codes | +| ee.data.35.ServiceProdTPUOtherCurr | 796 | series_id, year, period, value, footnote_codes | +| ee.data.36.TradeOtherCurr | 1194 | series_id, year, period, value, footnote_codes | +| ee.data.37.FireOtherCurr | 398 | series_id, year, period, value, footnote_codes | +| ee.data.38.ServicesOtherCurr | 398 | series_id, year, period, value, footnote_codes | +| ee.data.39.TotsAEHist | 12996 | series_id, year, period, value, footnote_codes | +| ee.data.4.HistorySeasAE | 43428 | series_id, year, period, value, footnote_codes | +| ee.data.40.ManufactureAEHist | 107036 | series_id, year, period, value, footnote_codes | +| ee.data.40a.ManufactureAEHist | 75550 | series_id, year, period, value, footnote_codes | +| ee.data.40b.ManufactureAEHist | 30810 | series_id, year, period, value, footnote_codes | +| ee.data.41.ServiceProdTPUAEHist | 10096 | series_id, year, period, value, footnote_codes | +| ee.data.42.TradeAEHist | 18350 | series_id, year, period, value, footnote_codes | +| ee.data.43.FireAEHist | 5434 | series_id, year, period, value, footnote_codes | +| ee.data.44.ServicesAEHist | 12129 | series_id, year, period, value, footnote_codes | +| ee.data.45.GovtAEHist | 12508 | series_id, year, period, value, footnote_codes | +| ee.data.46.TotsWWPWHist | 18808 | series_id, year, period, value, footnote_codes | +| ee.data.47.ManufactureWWPWHist | 187421 | series_id, year, period, value, footnote_codes | +| ee.data.47a.ManufactureWWPWHist | 88266 | series_id, year, period, value, footnote_codes | +| ee.data.47b.ManufactureWWPWHist | 98020 | series_id, year, period, value, footnote_codes | +| ee.data.48.ServiceProdTPUWWPWHist | 12051 | series_id, year, period, value, footnote_codes | +| ee.data.49.TradeWWPWHist | 30922 | series_id, year, period, value, footnote_codes | +| ee.data.5.HistorySeasPWWW | 29172 | series_id, year, period, value, footnote_codes | +| ee.data.50.FireWWPWHist | 7011 | series_id, year, period, value, footnote_codes | +| ee.data.51.ServicesWWPWHist | 16835 | series_id, year, period, value, footnote_codes | +| ee.data.52.GovtWWHist | 3224 | series_id, year, period, value, footnote_codes | +| ee.data.53.TotsAHEHist | 11073 | series_id, year, period, value, footnote_codes | +| ee.data.54.ManufactureAHEHist | 115682 | series_id, year, period, value, footnote_codes | +| ee.data.54a.ManufactureAHEHist | 82318 | series_id, year, period, value, footnote_codes | +| ee.data.54b.ManufactureAHEHist | 32376 | series_id, year, period, value, footnote_codes | +| ee.data.55.ServiceProdTPUAHEHist | 5590 | series_id, year, period, value, footnote_codes | +| ee.data.56.TradeAHEHist | 14815 | series_id, year, period, value, footnote_codes | +| ee.data.57.FireAHEHist | 1863 | series_id, year, period, value, footnote_codes | +| ee.data.58.ServicesAHEHist | 6136 | series_id, year, period, value, footnote_codes | +| ee.data.59.TotsAWHist | 22198 | series_id, year, period, value, footnote_codes | +| ee.data.6.HistorySeasOther | 46492 | series_id, year, period, value, footnote_codes | +| ee.data.60.ManufactureAWHist | 295013 | series_id, year, period, value, footnote_codes | +| ee.data.60a.ManufactureAWHist | 96161 | series_id, year, period, value, footnote_codes | +| ee.data.60b.ManufactureAWHist | 84188 | series_id, year, period, value, footnote_codes | +| ee.data.60c.ManufactureAWHist | 101439 | series_id, year, period, value, footnote_codes | +| ee.data.61.ServiceProdTPUAWHist | 11180 | series_id, year, period, value, footnote_codes | +| ee.data.62.TradeAWHist | 28668 | series_id, year, period, value, footnote_codes | +| ee.data.63.FireAWHist | 4181 | series_id, year, period, value, footnote_codes | +| ee.data.64.ServicesAWHist | 12272 | series_id, year, period, value, footnote_codes | +| ee.data.65.TotsOtherHist | 3960 | series_id, year, period, value, footnote_codes | +| ee.data.66.ManufactureOtherHist | 24656 | series_id, year, period, value, footnote_codes | +| ee.data.67.ServiceProdTPUOtherHist | 1248 | series_id, year, period, value, footnote_codes | +| ee.data.68.TradeOtherHist | 2314 | series_id, year, period, value, footnote_codes | +| ee.data.69.FireOtherHist | 624 | series_id, year, period, value, footnote_codes | +| ee.data.7.TotsAECurr | 6150 | series_id, year, period, value, footnote_codes | +| ee.data.70.ServicesOtherHist | 624 | series_id, year, period, value, footnote_codes | +| ee.data.71.WeeklyEarnings | 4774 | series_id, year, period, value, footnote_codes | +| ee.data.72.WeeklyEarningsHist | 10042 | series_id, year, period, value, footnote_codes | +| ee.data.8.ManufactureAECurr | 63784 | series_id, year, period, value, footnote_codes | +| ee.data.9.ServiceProdTPUAECurr | 7538 | series_id, year, period, value, footnote_codes | +| ee.datatype | 19 | data_type_code, data_type_text | +| ee.footnote | 4 | footnote_code, footnote_text | +| ee.industry | 669 | industry_code, SIC_code, publishing_status, industry_name | +| ee.period | 18 | period, period_abbr, period_name | +| ee.seasonal | 2 | seasonal_code, seasonal_text | +| ee.series | 4109 | series_id, industry_code, data_type_code, seasonal, begin_year, begin_period, end_year, end_period | diff --git a/bls/ee/_message.parquet b/bls/ee/_message.parquet new file mode 100644 index 0000000000000000000000000000000000000000..ed700852989d22570671d3572420dc1e69cce04d --- /dev/null +++ b/bls/ee/_message.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f85ddc28c7d838cccbec84a947a19acea6a90dca7df95a82a649286f4ec325ea +size 1469 diff --git a/bls/ee/ee.txt b/bls/ee/ee.txt new file mode 100644 index 0000000000000000000000000000000000000000..37eefa54fcfc357f76f1bf8471629f7c0e711553 --- /dev/null +++ b/bls/ee/ee.txt @@ -0,0 +1,620 @@ + Employment, Hours, and Earnings--National (EE) + ee.txt + +****************************************************************************************** +SPECIAL NOTICE: The Current Employment Statistics program will publish National data on a +North American Industry Classification System (NAICS) basis beginning with the release of +May 2003 data in June 2003. With the release of May 2003 data, SIC-based data will no +longer be produced or published. Please see http://www.bls.gov/ces/cesnaics.htm +for further details. +****************************************************************************************** + + +Section Listing + +1. Survey Definition +2. FTP 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 definition of: EMPLOYMENT, HOURS, AND EARNINGS--NATIONAL (EE) + +Survey Description: The Current Employment Statistics Program provides +employment, paid hours, and earnings information on a national basis in +considerable industrial detail. The Bureau of Labor Statistics cooperates +with State agencies in collecting data each month from a sample of +establishments in all nonfarm activities including government. + +The data include series for total employment, number of women employed, +number of production or nonsupervisory workers, average hourly earnings, +average weekly hours, average weekly earnings, and average weekly overtime +hours in manufacturing industries. + +A sample of about 375,000 employer units with over 40 percent of total +payroll employment is utilized for this monthly mail survey. For hours and +earnings of production or nonsupervisory workers in private, nonagricultural +industries, the sample contains about 300,000 employer units. + +All employment, hours and earnings series are classified according to the +1987 Standard Industrial Classification (SIC). The industry code used in +the survey corresponds to the SIC code, except in those cases where more +than one SIC has been combined. + +Summary Data Available: For all employees, women, and production or +nonsupervisory workers, over 1,600 published monthly employment series are +available. The series for all employees include over 600 industries at +various levels of aggregation. + +Over 1,750 published monthly series for production workers' average weekly +earnings, average hourly earnings, average weekly hours, and, in +manufacturing, average weekly overtime hours are available. + +Hours and earnings data are available for about 475 industries. + +Most series begin in 1947, 1958, 1972, 1982, or 1988, although some are +available from 1909 to the present. + +Employment by industry division is available since 1919. + +For industry divisions and major groups, about 200 series of seasonally +adjusted data are available. + +Over 100 special derivative series such as indexes and constant dollar +series are also available. + +Frequency of Observations: Monthly in almost all cases; quarterly averages +available for total employment, average weekly hours, and average overtime +hours, seasonally adjusted (datatypes 81, 82, and 83). + +Annual Averages: Annual averages are available for all series which are +unadjusted for seasonality. + +Data Characteristics: Earnings are measured in dollars and are stored with +two decimal places (three prior to 1957). Average weekly and overtime hours +are measured in hours and are stored with one decimal place. + +Employment is measured in thousands of workers and is stored with one +decimal place for two-digit SIC and lower-level industries when not adjusted +for seasonality; other employment data are stored with no decimal place. + +Special characteristics of the data are footnoted where necessary. + +Updating Schedule: Updates are usually available on the third Friday +following the reporting week (week containing the 12th) in the reference +month. These updates contain first closing estimates for the reference +month, second closing estimates for the month preceding the reference month, +and third closing estimates for the month two months prior to the reference +month. + +References: BLS Handbook of Methods, Chapter 2, "Employment, hours, and + earnings from the establishment survey", Bulletin 2285 + (1992). +================================================================================== +Section 2 +================================================================================== + +The following Employment, Hours, and Earnings--National files are on the BLS +internet in the sub-directory pub/time.series/ee: + + + ee.data.1.CurrentSeasAE - Seasonal, All Employees (data_type_code + = 01), 1988-Present + ee.data.2.CurrentSeasPWWW - Seasonal, Women and Production Workers + (data_type_code = 02, 03), 1988-Present + ee.data.3.CurrentSeasOther - Seasonal, Other, 1988-Present + ee.data.4.HistorySeasAE - Seasonal, All Employees (data_type_code = + 01), Pre-1988 + ee.data.5.HistorySeasPWWW - Seasonal, Women and Production Workers + (data_type_code = 02, 03), Pre-1988 + ee.data.6.HistorySeasOther - Seasonal, Other, Pre-1988 + ee.data.7.TotsAECurr - Unseasonal, Total, Tot priv, Goods + prod, Mining, Construction (division + 00, 10, 20), All Employees code = + (data_type_code = 01), 1988-Present + ee.data.8.ManufactureAECurr - Unseasonal, Manufacturing (division + code = 30 - 32), All Employees + (data_type_code = 01), 1988-Present + ee.data.9.ServiceProdTPUAECurr - Unseasonal, Service prod, TPU (division + code = 39, 40-42), All Employees + (data_type_code = 01), 1988-Present + ee.data.10.TradeAECurr - Unseasonal, Trade (division code = + 50-53, 60), All Employees + (data_type_code = 01), 1988-Present + ee.data.11.FireAECurr - Unseasonal, FIRE (industry code = + 70-73), All Employees (data_type_code = + 01), 1988-Present + ee.data.12.ServicesAECurr - Unseasonal, Services (division code = + 80), All Employees (data_type_code = 01), + 1988-Present + ee.data.13.GovtAECurr - Unseasonal, Government (division code = + 90-95), All Employees (data_type_code = + 01), 1988-Present + ee.data.14.TotsWWPWCurr - Unseasonal, Total, Tot priv, Goods prod, + Mining, Construction (division code = + 00, 10, 20), Women, Production Workers + (data_type_code = 02, 03), 1988-Present + ee.data.15.ManufactureWWPWCurr - Unseasonal, Manufacturing (division + code = 30 - 32), Women, Production + Workers (data_type_code = 02, 03), + 1988-Present + ee.data.16.ServiceProdTPUWWPWCurr - Unseasonal, Service prod, TPU (division + code = 39, 40-42), Women, Production + Workers (data_type_code = 02, 03), + 1988-Present + ee.data.17.TradeWWPWCurr - Unseasonal, Trade (division code = 50-53, + 60), Women, Production Workers + (data_type_code = 02, 03), 1988-Present + ee.data.18.FireWWPWCurr - Unseasonal, FIRE (division code = 70-73), + Women, Production Workers + (data_type_code = 02, 03), 1988-Present + ee.data.19.ServicesWWPWCurr - Unseasonal, Services (division code = 80), + Women, Production Workers + (data_type_code = 02, 03), 1988-Present + ee.data.20.GovtWWCurr - Unseasonal, Government (division code = + 90-95), Women, (data_type_code = 02), + 1988-Present + ee.data.21.TotsAHECurr - Unseasonal, Total private, Goods prod, + Mining, Construction (division code = + 00, 10, 20), Avg Hourly Earnings + (data_type_code = 06), 1988-Present + ee.data.22.ManufactureAHECurr - Unseasonal, Manufacturing (division + code = 30 - 32), Avg Hourly Earnings, + Hourly Earnings Excluding Overtime + (data_type_code = 06, 60), 1988-Present + ee.data.23.ServiceProdTPUAHECurr - Unseasonal, Service prod, TPU (division + code = 39, 40-42), Avg Hourly Earnings + (data_type_code = 06), 1988-Present + ee.data.24.TradeAHECurr - Unseasonal, Trade (division code = + 50-53, 60), Avg Hourly Earnings + (data_type_code = 06), 1988-Present + ee.data.25.FireAHECurr - Unseasonal, FIRE (division code = + 70-73), Avg Hourly Earnings + (data_type_code = 06), 1988-Present + ee.data.26.ServicesAHECurr - Unseasonal, Services (division code = 80), + Avg Hourly Earnings (data_type_code = 06), + 1988-Present + ee.data.27.TotsAWCurr - Unseasonal, Total private, Goods prod, + Mining, Construction (division code = + 00, 10, 20), Avg Weekly Hours, Avg + Weekly Earnings (data_type_code = 04, + 05), 1988-Present + ee.data.28.ManufactureAWCurr - Unseasonal, Manufacturing (division + code = 30 - 32), Avg Weekly Hours, Avg + Weekly Earnings, Avg Weekly Overtime + Hours (data_type_code = 04, 05, 07), + 1988-Present + ee.data.29.ServiceProdTPUAWCurr - Unseasonal, Service prod, TPU (division + code = 39, 40-42), Avg Weekly Hours, + Avg Weekly Earnings (data_type_code = 04, + 05), 1988-Present + ee.data.30.TradeAWCurr - Unseasonal, Trade (division code = 50-53, + 60), Avg Weekly Hours, Avg Weekly Earnings + (data_type_code = 04, 05), 1988-Present + ee.data.31.FireAWCurr - Unseasonal, FIRE (division code = 70-73), + Avg Weekly Hours, Avg Weekly Earnings + (data_type_code = 04, 05), 1988-Present + ee.data.32.ServicesAWCurr - Unseasonal, Services (division code = 80), + Avg Weekly Hours, Avg Weekly Earnings + (data_type_code = 04, 05), 1988-Present + ee.data.33.TotsOtherCurr - Unseasonal, Total private, Goods prod, + Mining, Construction (division code = + 00, 10, 20), Other, Index of Aggregate + Weekly Hours, Index of Aggregate Weekly + Payrolls, Diffusion Index (12-month) + (data_type_code = 40, 45, 68), 1988-Present + ee.data.34.ManufactureOtherCurr - Unseasonal, Manufacturing (division + code = 30 - 32), Other, Index of + Aggregate Weekly Hours, Index of + Aggregate Weekly Payrolls, Diffusion + Index (12-month) (data_type_code = + 40, 45, 68) 1988-Present + ee.data.35.ServiceProdTPUOtherCurr- Unseasonal, Service prod, TPU (division + code = 39, 40-42), Other, Index of + Aggregate Weekly Hours, Index of + Aggregate Weekly Payrolls + (data_type_code = 40, 45) 1988-Present + ee.data.36.TradeOtherCurr - Unseasonal, Trade (division code = + 50-53, 60), Other, Index of Average + Weekly Hours, Index of Aggregate Weekly + Payrolls (data_type_code = 40, 45) + 1988-Present + ee.data.37.FireOtherCurr - Unseasonal, FIRE (division code = + 70-73), Other, Index of Aggregate + Weekly Hours, Index of Aggreage Weekly + Payrolls (data_type_code = 40, 45) + 1988-Present + ee.data.38.ServicesOtherCurr - Unseasonal, Services (division code = 80), + Other, Index of Aggregate Weekly Hours, + Index of Aggregate Weekly Payrolls + (data_type_code = 40, 45), 1988-Present + ee.data.39.TotsAEHist - Unseasonal, Total, Tot priv, Goods + prod, Mining, Construction (division + code = 00, 10, 20), All Employees + (data_type_code = 01), Pre-1988 + ee.data.40a.ManufactureAEHist - Unseasonal, Manufacturing (division + code = 30 - 32), All Employees + (data_type_code = 01), Pre-1988 + ee.data.40b.ManufactureAEHist - Unseasonal, Manufacturing (division + code = 30 - 32), All Employees + (data_type_code = 01), Pre-1988 + ee.data.41.ServiceProdTPUAEHist - Unseasonal, Service prod, TPU (division + code = 39, 40-42), All Employees + (data_type_code = 01), Pre-1988 + ee.data.42.TradeAEHist - Unseasonal, Trade (division code = 50-53, + 60), All Employees (data_type_code = 01), + Pre-1988 + ee.data.43.FireAEHist - Unseasonal, FIRE (division code = 70-73), + All Employees (data_type_code = 01), Pre-1988 + ee.data.44.ServicesAEHist - Unseasonal, Services (division code = 80), + All Employees (data_type_code = 01), Pre-1988 + ee.data.45.GovtAEHist - Unseasonal, Government (division code + = 90-95), All Employees (data_type_code = + 01), Pre-1988 + ee.data.46.TotsWWPWHist - Unseasonal, Total, Tot priv, Goods, prod, + Mining, Construction (division code = 00, 10, + 20), Women, Production Workers + (data_type_code = 02, 03), Pre-1988 + ee.data.47a.ManufactureWWPWHist - Unseasonal, Manufacturing (division code = + 30 - 32), Women, Production Workers + (data_type_code = 02, 03), Pre-1988 + ee.data.47b.ManufactureWWPWHist - Unseasonal, Manufacturing (division code = + 30 - 32), Women, Production Workers + (data_type_code = 02, 03), Pre-1988 + ee.data.48.ServiceProdTPUWWPWHist - Unseasonal, Service prod, TPU (division + code = 39, 40-42), Women, Production Workers + (data_type_code = 02, 03), Pre-1988 + ee.data.49.TradeWWPWHist - Unseasonal, Trade (division code = 50-53, + 60), Women, Production Workers + (data_type_code = 02, 03), Pre-1988 + ee.data.50.FireWWPWHist - Unseasonal, FIRE (division code = 70-73), + Women, Production Workers(data_type_code = + 02, 03), Pre-1988 + ee.data.51.ServicesWWPWHist - Unseasonal, Services (division code = 80), + Women, Production Workers (data_type_code = + 02, 03), Pre-1988 + ee.data.52.GovtWWHist - Unseasonal, Government (division code + = 90-95), Women, Production Workers + (data_type_code = 02, 03), Pre-1988 + ee.data.53.TotsAHEHist - Unseasonal, Total private, Goods prod, + Mining, Construction (division code + = 00, 10, 20), Avg Hourly Earnings + (data_type_code = 06), Pre-1988 + ee.data.54a.ManufactureAHEHist - Unseasonal, Manufacturing (division + code = 30 - 32), Avg Hourly Earnings, + Hourly Earnings Excluding Overtime + (data_type_code = 06, 60), Pre-1988 + ee.data.54b.ManufactureAHEHist - Unseasonal, Manufacturing (division + code = 30 - 32), Avg Hourly Earnings, + Hourly Earnings Excluding Overtime + (data_type_code = 06, 60), Pre-1988 + ee.data.55.ServiceProdTPUAHEHist - Unseasonal, Service prod, TPU (division + code = 39, 40-42), Avg Hourly Earnings + (data_type_code = 06), Pre-1988 + ee.data.56.TradeAHEHist - Unseasonal, Trade (division code = + 50-53, 60), Avg Hourly Earnings + (data_type_code = 06), Pre-1988 + ee.data.57.FireAHEHist - Unseasonal, FIRE (division code = + 70-73), Avg Hourly Earnings + (data_type_code = 06), Pre-1988 + ee.data.58.ServicesAHEHist - Unseasonal, Services (division code = + 80), Avg Hourly Earnings + (data_type_code = 06), Pre-1988 + ee.data.59.TotsAWHist - Unseasonal, Total private, Goods prod, + Mining, Construction (division code + = 00, 10, 20), Avg Weekly Hours, Avg + Weekly Earnings (data_type_code = 04, + 05), Pre-1988 + ee.data.60a.ManufactureAWHist - Unseasonal, Manufacturing (division + code = 30 - 32), Avg Weekly Hours, + Avg Weekly Earnings (data_type_code + = 04, 05, 07), Pre-1988 + ee.data.60b.ManufactureAWHist - Unseasonal, Manufacturing (division + code = 30 - 32), Avg Weekly Hours, + Avg Weekly Earnings (data_type_code + = 04, 05, 07), Pre-1988 + ee.data.61.ServiceProdTPUAWHist - Unseasonal, Service prod, TPU (division + code = 39, 40-42), Avg Weekly Hours, + Avg Weekly Earnings (data_type_code + = 04, 05), Pre-1988 + ee.data.62.TradeAWHist - Unseasonal, Trade (division code + = 50-53, 60), Avg Weekly Hours, Avg + Weekly Earnings (data_type_code = 04, + 05), Pre-1988 + ee.data.63.FireAWHist - Unseasonal, FIRE (division code + = 70-73), Avg Weekly Hours, Avg Weekly + Earnings (data_type_code = 04, 05), + Pre-1988 + ee.data.64.ServicesAWHist - Unseasonal, Services (division code + = 80), Avg Weekly Hours, Avg Weekly + Earnings (data_type_code = 04, 05), + Pre-1988 + ee.data.65.TotsOtherHist - Unseasonal, Total private, Goods prod, + Mining, Construction (division code + = 00, 10, 20), Other, Index of + Aggregate Weekly Hours, Index of + Aggregate Weekly Payrolls, Diffusion + Index (12-month) (data_type_code = + 40, 45, 68) Pre-1988 + ee.data.66.ManufactureOtherHist - Unseasonal, Manufacturing (division + code = 30 - 32), Other, Index of + Aggregate Weekly Hours, Index of + Aggregate Weekly Payrolls, Diffusion + Index (12-month) (data_type_code = + 40, 45, 68) Pre-1988 + ee.data.67.ServiceProdTPUOtherHist- Unseasonal, Service prod, TPU (division + code = 39, 40-42), Other, Index of + Aggregate Weekly Hours, Index of + Aggregate Weekly Payrolls + (data_type_code = 40, 45) Pre-1988 + ee.data.68.TradeOtherHist - Unseasonal, Trade (division code + = 50-53, 60), Other, Index of Aggregate + Weekly Hours, Index of Aggregate + Weekly Payrolls (data_type_code = + 40, 45) Pre-1988 + ee.data.69.FireOtherHist - Unseasonal, FIRE (division code + = 70-73), Other, Index of Aggregate + Weekly Hours, Index of Aggregate + Weekly Payrolls (data_type_code = + 40, 45) Pre-1988 + ee.data.70.ServicesOtherHist - Unseasonal, Services (division code + = 80), Other, Index of Aggregate Weekly + Hours, Index of Aggreate Weekly Payrolls + (data_type_code = 40, 45) Pre-1988 + ee.data.71.WeeklyEarnings - Unseasonal, All, Real Average Hourly + Earnings, Real Average Weekly Earnings + (data_type_code = 49, 51) 1988-Present + ee.data.72.WeeklyEarningsHist - Unseasonal, All, Real Average Hourly + Earnings, Real Average Weekly Earnings + (data_type_code = 49, 51) Pre-1988 + ee.contacts - Contacts for ee survey + ee.datatype - Data_type_code mapping file + ee.doc - General information + ee.footnote - Footnote codes mapping file + ee.industry - Industry codes mapping file + ee.period - Period codes mapping file + ee.series - All series and their beginning and end dates +================================================================================= +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 FTP 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 +ee.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 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. + +Field #/Data Element Length Value(Example) + +1. series_id 17 EES00000001 + +2. industry_code 6 005000 + +3. data_type_code 2 01 + +4. seasonal 1 S or U + +5. begin_year 4 1939 + +6. begin_period 3 M01 + +7. end_year 4 2002 + +8. end_period 3 M02 + + +The series_id (EES00000001) can be broken out into: + +Code Value + +survey abbreviation = EE +seasonal (code) = S +industry_code = 000000 +data_type_code = 01 +================================================================================== +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 ee.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 17 EES00000001 + +2. year 4 1988 + +3. period 3 M01 + +4. value 12 103623 + +5. footnote_codes 10 It varies + + +The series_id (EES00000001) can be broken out into: + +Code Value + +survey abbreviation = EE +seasonal (code) = S +industry_code = 000000 +data_type_code = 01 +================================================================================ +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: ee.datatype + +Field #/Data Element Length Value(Example) + +1. data_type_code 2 60 + +2. data_type_text 60 Text + + +File Name: ee.footnote +Field #/Data Element Length Value(Example) + +1. footnote_code 1 C + +2. footnote_text 100 Text + + +File Name: ee.industry + +Field #/Data Element Length Value(Example) + +1. industry_code 6 101440 + +2. SIC_code 13 102 + +3. publishing_status 2 Internal Use Only + +4. industry_name 60 Text + + +File Name: ee.period + +Field #/Data Element Length Value(Example) + +1. period 3 M01 + +2. period_abbr 5 JUN + +3. period_name 20 Text +========================================================================================= +Section 7 +========================================================================================= +EMPLOYMENT, HOURS, AND EARNINGS--NATIONAL (EE) DATABASE ELEMENTS + +Data Element Length Value(Example) Description + +begin_period 3 M01-M13 Identifies first data observation + Q01-Q05 within the first year for which + Ex: M06=June data is available for a given + (M=Monthly, M13=Annual time series. + Avg, Q=Quarterly, Q05= + Annual Avg) + +begin_year 4 YYYY Identifies first year for which + Ex: 1976 data is available for a given + time series. + +data_type_code 2 00 Code identifying the datatype + of the observation. + +data_type_text 60 Text Datatype name of the observation. + Ex: Total employment + +end_period 3 M01-M13 Identifies last data observation + Q01-Q04 within the last year for which + Ex: M06=June data is available for a given + (M=Monthly, M13=Annual time series. + Avg, Q=Quarterly, Q05= + Annual Avg) + +end_year 4 YYYY Identifies last year for which + Ex: 1992 data is available for a given + time series. + +footnote_code 1 C Identifies footnote for the data + series. + +footnote_codes 10 It varies Identifies footnotes for the data + series. + +footnote_text 100 Text Contains the text of the footnote. + +industry_code 6 101440 Code identifying industry. + +industry_name 60 Text Name of industry. + Ex: Grocery Stores + +period_abbr 5 Period name Abbreviation of period name. + abbreviation + Ex: JUN + +period 3 M01-M13 Identifies period for which + Q01-Q04 data is observed. + Ex: M06=June + (M=Monthly, M13=Annual + Avg, Q=Quarterly, Q05= + Annual Avg) + +period_name 20 Text Full name of period to which + Ex: June the data observation 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sha256:715b20ac5dc34b2806a0f6d85a1a071ce6b749d1feebade968a6f5d69a9a3500 +size 12709 diff --git a/bls/ei/README.md b/bls/ei/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e5fccada47e64808e358a410edbecbf0310caae9 --- /dev/null +++ b/bls/ei/README.md @@ -0,0 +1,30 @@ +# BLS survey `ei` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/ei/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `ei.txt`. + +`*_series.parquet` defines each series_id (labels); `*_data_*.parquet` holds series_id, year, period (M01-M12 monthly, Q0x quarterly, A01/M13 annual), value, footnote_codes; other files map codes to labels. + +| file | rows | columns | +|---|---|---| +| ei.contacts | 7 | International Price Indexes Contacts | +| ei.data.0.Current | 215051 | series_id, year, period, value, footnote_codes | +| ei.data.01.BEAImport | 47859 | series_id, year, period, value, footnote_codes | +| ei.data.02.BEAExport | 36469 | series_id, year, period, value, footnote_codes | +| ei.data.03.NAICSImport | 26290 | series_id, year, period, value, footnote_codes | +| ei.data.04.NAICSExport | 17132 | series_id, year, period, value, footnote_codes | +| ei.data.05.HarmonizedImport | 30714 | series_id, year, period, value, footnote_codes | +| ei.data.06.HarmonizedExport | 19892 | series_id, year, period, value, footnote_codes | +| ei.data.07.LocalityofOrigin | 36856 | series_id, year, period, value, footnote_codes | +| ei.data.08.LocalityofDestination | 2553 | series_id, year, period, value, footnote_codes | +| ei.data.09.TermsofTrade | 945 | series_id, year, period, value, footnote_codes | +| ei.data.10.ServicesImport | 2823 | series_id, year, period, value, footnote_codes | +| ei.data.11.ServicesExport | 3420 | series_id, year, period, value, footnote_codes | +| ei.data.12.ServicesInbound | 877 | series_id, year, period, value, footnote_codes | +| ei.data.13.ServicesOutbound | 861 | series_id, year, period, value, footnote_codes | +| ei.footnote | 7 | footnote_code, footnote_text | +| ei.index | 13 | index_code, index_name | +| ei.period | 12 | period, period_abbr, period_name | +| ei.seasonal | 2 | seasonal_code, seasonal_text | +| ei.series | 1593 | series_id, seasonal, index_code, series_name, base_period, series_title, footnote_codes, begin_year, begin_period, end_year, end_period | diff --git a/bls/ei/ei.txt b/bls/ei/ei.txt new file mode 100644 index 0000000000000000000000000000000000000000..de154f60e7e32586781f808be533f117e9a95eab --- /dev/null +++ b/bls/ei/ei.txt @@ -0,0 +1,302 @@ + International Price Index (EI) + ei.txt + + +Section Listing + +1. Survey Definition +2. FTP 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 definition of: INTERNATIONAL PRICE INDEX (EI) + +Summary Data Available: LABSTAT contains merchandise import and export +index time series based on several classification systems and selected +import and export services indexes. Full coverage of merchandise imports +began in February 1983 and full coverage of merchandise exports began in +1984. + +Frequency of Observations: Prior to 1974, data was collected in June only. +From 1974 through 1992, all data was published quarterly. Beginning in +1993, two-digit price data is available on a monthly basis through the +International Price Index press release, while more detailed information +is available through supplemental tables. + +Data Characteristics: Indexes and percentage changes are calculated to one +decimal place. + +Update Schedule: Monthly data may be revised in each of the +three months after original publication. + +References: BLS Handbook of Methods + +================================================================================== +Section 2 +================================================================================== + +The following International Price Index files are on the BLS internet in the +sub-directory pub/time.series/ei: + + ei.contacts - Contacts for ei survey + ei.data.0.Current - All current year-to-date ei data + ei.data.01.BEAImport - BEA End Use Import + (index code IR) + ei.data.02.BEAExport - BEA End Use Export + (index code IQ) + ei.data.03.NAICSImport - NAICS Import + (index code IZ) + ei.data.04.NAICSExport - NAICS Export + (index code IY) + ei.data.05.HarmonizedImport - Harmonized Import + (index code IP) + ei.data.06.HarmonizedExport - Harmonized Export + (index code ID) + ei.data.07.LocalityofOrigin - Locality of Origin + (index code CO) + ei.data.08.LocalityofDestination - Locality of Destination + (index code CD) + ei.data.09.TermsofTrade - Terms of Trade + (index code CT) + ei.data.10.ServicesImport - Services Import + (index code IV) + ei.data.11.ServicesExport - Services Export + (index code IH) + ei.data.12.ServicesInbound - Services Inbound + (index code IC) + ei.data.13.ServicesOutbound - Services Outbound + (index code IS) + ei.footnote - Footnotes applicable to ei data + ei.index - Index codes mapping file + ei.period - Period codes mapping file + ei.series - All series and their beginning and end dates + ei.txt - General Information + +================================================================================= +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 FTP 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 +c) the base period for which the series begins +d) the series title, which provides a detailed description of the series. + +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 +ei.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 EIUCOCANMANU + +2. seasonal 1 U + +3. index_code 2 CO + +4. series_name 100 Text + +5. base_period 35 2000 = 100 + +6. series_title 256 Text + +7. footnote_code 10 Text + +8. begin_year 4 1990 + +9. begin_period 3 M12 + +10. end_year 4 2002 + +11. end_period 3 M03 + + +The series_id (EIUCOCANMANU) can be broken out into: + +Code Value + +survey abbreviation = EI +seasonal(code) = U +index_code = CO +series_name = CANMANU +================================================================================== +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 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. + +The ei.data file is partitioned into several separate files: See Section 2 + +All of the above-referenced data files have the following format: + +Field #/Data Element Length Value(Example) + +1. series_id 17 EIUCOCANMANU + +2. year 4 1995 + +3. period 3 M01 + +4. value 12 97.7 + +5. footnote_codes 10 It varies + + +The series_id (EIUCOCANMANU) can be broken out into: + +Code Value + +survey abbreviation = EI +seasonal(code) = U +index_code = CO +series_name = CANMANU +================================================================================ +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: ei.index + +Field #/Data Element Length Value(Example) + +1. index_code 2 IM + +2. index_name 50 Text + + +File Name: ei.period + +Field #/Data Element Length Value(Example) + +1. period 3 M01 + +2. period_abbr 5 JAN + +3. period_name 20 January + +========================================================================================= +Section 7 +========================================================================================= +INTERNATIONAL PRICE INDEX (EI) DATABASE ELEMENTS + +Data Element Length Value(Example) Description + +base_period 35 2000=100 Identifies the particular time + 2012=100 period used as a benchmark for + the series. + +begin_period 3 M01-M13 or Identifies first data observation + Q01-Q05 within the first year for which + Ex: M06=June data is available for a given + (M=Monthly, M13=Annual time series. + Avg, Q=Quarterly, Q05= + Annual Avg) + +begin_year 4 YYYY Identifies first year for which + Ex: 1975 data is available for a given + time series. + +end_period 3 M01-M13 or Identifies last data observation + Q01-Q05 within the last year for which + Ex: Q02=2nd Quarter data is available for a given + (M=Monthly, M13=Annual time series. + Avg, Q=Quarterly, Q05= + Annual Avg) + +end_year 4 YYYY Identifies last year for which + Ex: 1980 data is available for a given + time series. + +footnote_codes 10 Varies Identifies footnotes for the data + series. + +index_code 2 Ex. IZ=NAICS Import Code identifying index. + Price Indexes + +index_name 50 Text Name of index. + + +period_abbr 5 Period name Abbreviation of period name. + abbreviation + Ex: JUN + +period 3 M01-M13 or Identifies period for which + Q01-Q05 data is observed. + Ex: M06=June + (M=Monthly, M13=Annual + Avg, Q=Quarterly, Q05= + 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 17 EIUCOCANMANU Code identifying the specific + series. + +series_name 100 Text Identifies the name of the series. + Ex:All Commodities + +series_title 256 Text Describes the series. + +value 12 Index Price index for item. + Ex. 97.7 + +year 4 YYYY Identifies year of observation. + Ex: 1990 + + + + diff --git a/bls/ei/ei_contacts.parquet b/bls/ei/ei_contacts.parquet new file mode 100644 index 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sha256:e98aa465cd6cbd42af7d834a25d31c7e63e768bc33d3e301edca5503a799ca3a +size 64352 diff --git a/bls/ep/README.md b/bls/ep/README.md new file mode 100644 index 0000000000000000000000000000000000000000..7cf794949178086930eab7065dde2ab2fdf151b0 --- /dev/null +++ b/bls/ep/README.md @@ -0,0 +1,25 @@ +# BLS survey `ep` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/ep/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `ep.txt`. + +`*_series.parquet` defines each series_id (labels); `*_data_*.parquet` holds series_id, year, period (M01-M12 monthly, Q0x quarterly, A01/M13 annual), value, footnote_codes; other files map codes to labels. + +| file | rows | columns | +|---|---|---| +| ep.aspect | 799782 | series_id, year, period, aspect_type, value, footnote_codes | +| ep.contacts | -1 | | +| ep.data.1.AllData | 113898 | series_id, year, period, value, footnote_codes | +| ep.dates | 3 | data_source, base_year, proj_year | +| ep.display | 1 | disp_code, disp_desc | +| ep.eductrn | 9 | eductrn_code, eductrn_desc | +| ep.footnote | 0 | footnote_code, footnote_text | +| ep.industry | 423 | ind_code, ind_title, display_level, selectable, sort_sequence | +| ep.laytitle | 5811 | oes_code, lay_title | +| ep.occupation | 1112 | occ_code, occ_title, display_level, selectable, sort_sequence | +| ep.otjt | 7 | otjt_code, otjt_text | +| ep.rank | 1 | rank_code, rank_desc | +| ep.seasonal | 2 | seasonal_code, seasonal_text | +| ep.series | 113898 | series_id, seasonal, occ_type, ind_type, occ_code, ind_code, wkex_code, rank_code, otjt_code, eductrn_code, disp_code, series_title, footnote_codes, begin_year, begin_period, end_year, end_period | +| ep.wkex | 4 | wkex_code, wkex_text | diff --git a/bls/ep/ep.contacts b/bls/ep/ep.contacts new file mode 100644 index 0000000000000000000000000000000000000000..030f93621ac69fcdd6d93ea914ed3a07dd098997 --- /dev/null +++ b/bls/ep/ep.contacts @@ -0,0 +1,19 @@ +Employment Projections Contacts + +General data requests and other information: (202) 691-5700 +EMAIL: ep-info@bls.gov +FAX: (202) 691-5745 + +Topic Contact Phone number + +Occupational outlook + Education and training categories and statistics Teri Morisi (202) 691-6501 + Career Outlook Kathleen Green (202) 691-5717 + Occupational separations Michael Wolf (202) 691-5714 + +Industry employment projections + Aggregate economy, GDP Kevin Dubina (202) 691-6482 + Final demand Jared Teeter (202) 691-5688 + Industry output and employment Andrea Gensler (202) 691-6334 + Industry input-output system Richard Graham (202) 691-5692 + Labor force Mitra Toossi (202) 691-5721 diff --git a/bls/ep/ep.txt b/bls/ep/ep.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec9b570af5eba9bdcc0e2d6664d117b452408916 --- /dev/null +++ b/bls/ep/ep.txt @@ -0,0 +1,62 @@ + EMPLOYMENT PROJECTIONS (Survey = EP) + + +Series identification codes for this data have the form: + + EP U OOOOOO IIIIII + +where + + EP = prefix for Employment Projections data + U = unadjusted for seasonality (only annual averages available) + OOOOOO = Occupation code with hyphens removed + IIIIII = Industry code + + + EXAMPLE + +EP U 516041 451110 + +EP Survey: Employment Projections +U Seasonality: Only annual averages available +516041 Occupation: Shoe and leather workers and repairers +451110 Industry: Sporting goods stores + + + + + SURVEY DESCRIPTION + +Bureau of Labor Statistics projections of industry and occupational employment +are developed in a series of six interrelated steps, each of which is based on +a different procedure or model and assumptions: labor force, aggregate economy, +final demand (GDP) by consuming sector and product, industry output, industry +employment, and employment and openings by occupation. The results produced by +each step are key inputs to following steps, and the sequence may be repeated +multiple times to allow feedback and to ensure consistency. Further detail is +presented in Chapter 13 of the BLS Handbook of Methods. + + + SUMMARY DATA AVAILABLE + +The Employment Projections program develops employment, projected +employment, employment change, job openings, education, training, and wage +data for each detailed National Employment Matrix occupation. Employment, projected +employment, and employment change data are also available for summary occupations. + + + NOTES + +Updates: + + The database is updated twice per year; wages are updated in April and projections are updated in September. + +Further Information: + + See the Employment Projections website for additional data: + https://www.bls.gov/emp + + +Contact - Employment Projections program + Bureau of Labor Statistics + (202) 691-5700 diff --git a/bls/ep/ep_aspect.parquet b/bls/ep/ep_aspect.parquet new file mode 100644 index 0000000000000000000000000000000000000000..a057de4e2c85cc86a256d1c9f1682ed270790933 --- /dev/null +++ b/bls/ep/ep_aspect.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eb86b4b85b41dabaa1265d9f4280a0fa2cfb4c4ac956b409023097ac0af23acb +size 1915479 diff --git a/bls/ep/ep_data_1_AllData.parquet b/bls/ep/ep_data_1_AllData.parquet new file mode 100644 index 0000000000000000000000000000000000000000..5e5e60b998759be5bc25d510ba3d69b849e6408b --- /dev/null +++ b/bls/ep/ep_data_1_AllData.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:85e59fbb364b0935ccce32dcfcdd2644896a3218bdb1a1e5112037dad405740a +size 466937 diff --git a/bls/ep/ep_dates.parquet b/bls/ep/ep_dates.parquet new file mode 100644 index 0000000000000000000000000000000000000000..b8129acdedf75cabeb5cd1436792c1b8d9b22627 --- /dev/null +++ b/bls/ep/ep_dates.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bd7c014a4bf93b7bbbe29051826e5f556342d97f5badfa1ad083d650f7c2aa10 +size 2278 diff --git a/bls/ep/ep_display.parquet b/bls/ep/ep_display.parquet new file mode 100644 index 0000000000000000000000000000000000000000..04f15fd8a24f2721026d0fee01e114b1035e63e2 --- /dev/null +++ b/bls/ep/ep_display.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:71e65bc78f4730f08fac76ef354f9db1d9cc7004343b61ea061bf660884762dc +size 1807 diff --git a/bls/ep/ep_eductrn.parquet b/bls/ep/ep_eductrn.parquet new file mode 100644 index 0000000000000000000000000000000000000000..192d4115b61a3401de89ff1b3ab06bce4b29eb41 --- /dev/null +++ b/bls/ep/ep_eductrn.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a92c10a996e391e74c5fb1716bc049bfcf3f40648158bf4b862e77b4e3048aa1 +size 1980 diff --git a/bls/ep/ep_footnote.parquet b/bls/ep/ep_footnote.parquet new file mode 100644 index 0000000000000000000000000000000000000000..bd1b61dec4a13ebac5017c0caf9eef285f51700c --- /dev/null +++ b/bls/ep/ep_footnote.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cd0ca8fa879ccf87ffd3db7d05295285ee1153a6e1f1487c3ffd7f56645ae994 +size 1570