diff --git a/bls/cc/README.md b/bls/cc/README.md new file mode 100644 index 0000000000000000000000000000000000000000..3522f7110417461dbf97bf3daa8fd7d799106d33 --- /dev/null +++ b/bls/cc/README.md @@ -0,0 +1,18 @@ +# BLS survey `cc` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/cc/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `cc.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 | +|---|---|---| +| cc.benefit | 30 | benefit_code, benefit_title, display_level, selectable, sort_sequence | +| cc.contacts | -1 | | +| cc.costfactor | 2 | costfactor_code, costfactor_text | +| cc.data.1.AllData | 95622 | series_id, year, period, value, footnote_codes | +| cc.footnote | 2 | footnote_code, footnote_text | +| cc.industryocc | 181 | industryocc_code, industryocc_title, display_level, selectable, sort_sequence | +| cc.sector | 10 | sector_code, sector_title, display_level, selectable, sort_sequence | +| cc.series | 5075 | series_id, sector_code, benefit_code, industryocc_code, costfactor_code, footnote_codes, begin_year, begin_period, end_year, end_periodCCU010000100000D, 0, 10000, 100000, D, , 1994, Q05, 2003, Q04 | diff --git a/bls/cc/cc.contacts b/bls/cc/cc.contacts new file mode 100644 index 0000000000000000000000000000000000000000..f3b57689e5a9ef84f362ded801147efea6c9d845 --- /dev/null +++ b/bls/cc/cc.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/SPCB - 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/cc/cc.txt b/bls/cc/cc.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f323e92ac95df5ab3554bd5f223b6c1c8e11586 --- /dev/null +++ b/bls/cc/cc.txt @@ -0,0 +1,305 @@ + + Employer Costs for Employee Compensation(CC) + cc.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: EMPLOYER COSTS FOR EMPLOYEE COMPENSATION (CC) + +Survey Description: The Employer Costs for Employee Compensation (ECEC) is a measure +of the cost of labor. The compensation series includes wages and salaries plus employer +costs for individual employee benefits. Employee benefit costs are calculated +as cents-per-hour-worked for individual 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 for the civilian economy. + +The data are collected from a probability sample of about 30,000 occupations +with 7,200 sample establishments in private industry and about 3,750 +occupations within 800 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 March 1995, the jobs have been classified +according to the 1990 Census of Occupations. + +Summary Data Available: For private industry workers, data are +available for total compensation costs, for wages and salaries alone, and +for individual benefit costs alone. Data are available by major occupational +and industry groups, as well as by region and bargaining status. Information +is available from 1986 to the present for most of these series. + +For State and local governments and the civilian economy (State and local +governments plus private industry), data are available for major occupational +and selected industry series. The data for these series are provided from +1991 to present. + +Frequency of Observations: Data are available annually from 1986 to 1991. +Data will become available quarterly beginning in June 2002. + +Data Characteristics: All costs per hour worked are stored to the nearest +penny. All percents are stored with one decimal place. + +Updating Schedule: Updates are available about eight weeks following the end +of the reference quarter. Reference quarters end in March, June, September, +and December. + +================================================================================== +Section 2 +================================================================================== + +The following Employer Costs for Employee Compensation files are on the BLS internet in the +sub-directory pub/time.series/ec: + + cc.benefit - Benefits codes mapping file + cc.costfactor - Cost factor codes mapping file + cc.data.0.Current - All current year-to-date data + cc.data.1.AllData - All data + cc.industryocc - Industry occupational code mapping file + cc.sector - Sector codes mapping file + cc.series - All series and their beginning and end dates + cc.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. + +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 +cc.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 CCU010000100000P + +2. sector_code 1 0 + +3. benefit_code 5 10000 + +4. industryocc_code 6 100000 + +5. costfactor_code 1 P + +6. footnote_codes 10 It varies + +7. begin_year 4 1994 + +8. begin_period 3 Q05 + +9. end_year 4 2001 + +10. end_period 3 Q05 + + +The series_id (CCU010000100000P) can be broken out into: + +Code Value + +survey abbreviation = CC +seasanol (code) = U +sector_code = 0 +benefit_code = 10000 +industryocc_code = 100000 +costfactor_code = P + +================================================================================== +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 cc.data file is partitioned into two separate files: + + 1. cc.data.0.Current - All current year-to-date data + 2. cc.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 CCU010000100000P + +2. year 4 1994 + +3. period 3 Q05 + +4. value 12 11.06 + +5. footnote_codes 10 It varies + + +The series_id (CCU010000100000P) can be broken out into: + +Code Value + +survey abbreviation = CC +seasonal (code) = U +sector_code = 0 +benefit_code = 10000 +industryocc_code = 100000 +costfactor_code = P + + +================================================================================ +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: cc.benefit + +Field #/Data Element Length Value(Example) + +1. benefit_code 5 20000 + +2. benefit_title 50 Text + + +File Name: cc.costfactor + +Field #/Data Element Length Value(Example) + +1. costfactor_code 1 D + +2. costfactor_text 50 Text + + +File Name: cc.industryocc + +Field #/Data Element Length Value(Example) + +1. industryocc_code 6 000001 + +2. industryocc_title 50 Text + + +File Name: cc.sector + +Field #/Data Element Length Value(Example) + +1. sector_code 1 1 + +2. sector_title 50 Text + + +========================================================================================= +Section 7 +========================================================================================= +EMPLOYER COSTS FOR EMPLOYEE COMPENSATION (CC) 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. + +benefit_code 5 20000 Benefit code. + +benefit_title 50 Text Benefit title. + +costfactor_code 1 D Cost factor code. + +costfactor_text 50 Text Cosr factor title. + +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 It varies + + +industryocc_code 6 000001 Industry occupational code. + +industryocc_title 50 Text Industry occupational TITLE. + +sector_code 1 1 Sector code. + +sector_title 50 Text Sector title. + +series_id 17 Series identifier Code identifying the specific + Ex.CCU010000100000P series. + +value 12 Variable Data value for series. + + +year 4 YYYY Identifies year of observation. + Ex: 1990 + + + + diff --git a/bls/cc/cc_benefit.parquet b/bls/cc/cc_benefit.parquet new file mode 100644 index 0000000000000000000000000000000000000000..4406fc3ff14d8bfa8ea4051ceb40286178c1b353 --- /dev/null +++ b/bls/cc/cc_benefit.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:93da915c294089d016b362544fef8bc57b62e60f5079fcfe22adcf62ffce1596 +size 4028 diff --git a/bls/cc/cc_costfactor.parquet b/bls/cc/cc_costfactor.parquet new file mode 100644 index 0000000000000000000000000000000000000000..180978426a4608d4a20c376ec8df1658226deec2 --- /dev/null +++ b/bls/cc/cc_costfactor.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:94c520db713acb2c39bcae11456ab427d3715f43d74b9610139d7bc71882bcda +size 1977 diff --git a/bls/cc/cc_data_1_AllData.parquet b/bls/cc/cc_data_1_AllData.parquet new file mode 100644 index 0000000000000000000000000000000000000000..a9d0b8c6d93940ec2a240a2cd9f6489d45aa439f --- /dev/null +++ b/bls/cc/cc_data_1_AllData.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ba0bd78b7673ce73ff8cbfc8e900a19a5a9d91ce7217ce2329b00d31e5c53cd7 +size 161233 diff --git a/bls/cc/cc_footnote.parquet b/bls/cc/cc_footnote.parquet new file mode 100644 index 0000000000000000000000000000000000000000..7106dcbd8e52431ef0d96e85565980311910a081 --- /dev/null +++ b/bls/cc/cc_footnote.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6ea0556d6b11f8dbcbca2302f93870eee4457657a8189b8a054b71cf566c01ae +size 1923 diff --git a/bls/cc/cc_industryocc.parquet b/bls/cc/cc_industryocc.parquet new file mode 100644 index 0000000000000000000000000000000000000000..2abc7fca74ea8c966f3fec1e6b32d26378d8b26a --- /dev/null +++ b/bls/cc/cc_industryocc.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2038bd392cd319effdcec77db8757ce16f85111eaf0bbfb21cb0e87b29e6bfbc +size 6254 diff --git a/bls/cc/cc_sector.parquet b/bls/cc/cc_sector.parquet new file mode 100644 index 0000000000000000000000000000000000000000..143264c60ac12bb9119107c1ac20d3ac6f52b5db --- /dev/null +++ b/bls/cc/cc_sector.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b40422533d2e26d618f95bdaf24368d1ae3b77daa163b4a5b971e56d675574c1 +size 3625 diff --git a/bls/cc/cc_series.parquet b/bls/cc/cc_series.parquet new file mode 100644 index 0000000000000000000000000000000000000000..a750e8dbb1a9bc8d7f8f8cc67a0ec745029e21e9 --- /dev/null +++ b/bls/cc/cc_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6d916f68262fb83b62a067955fc5a8af59ce2cb02200e319bf0e78d328c7aabc +size 27411 diff --git a/bls/cd/README.md b/bls/cd/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a85e117cc2d0414f59450999e3773e39363f2e5b --- /dev/null +++ b/bls/cd/README.md @@ -0,0 +1,28 @@ +# BLS survey `cd` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/cd/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `cd.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 | +|---|---|---| +| cd.age | 10 | age_code, age_text | +| cd.case | 10 | case_code, case_text | +| cd.category | 980 | datatype_code, case_code, category_code, category_text | +| cd.category2 | 106 | 00, Total private industry | +| cd.contacts | 55 | Safety, Health, and Working Conditions Contacts | +| cd.data.1.AllData | 2676946 | series_id, year, period, value, footnote_codes | +| cd.datatype | 3 | datatype_code, datatype_text | +| cd.event | 265 | event_code, event_text, display_level, selectable, sort_sequence | +| cd.footnote | 1 | footnote_code, footnote_text | +| cd.gender | 4 | gender_code, gender_text | +| cd.industry | 926 | industry_code, industry_text, display_level, selectable, sort_sequence | +| cd.los | 6 | los_code, los_text | +| cd.nature | 498 | nature_code, nature_text | +| cd.occupation | 489 | occupation_code, occupation_text | +| cd.pob | 169 | pob_code, pob_text | +| cd.race | 7 | race_code, race_text | +| cd.series | 392589 | series_id, 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, footnote_code, begin_year, begin_period, end_year, end_period | +| cd.source | 1367 | source_code, source_text | diff --git a/bls/cd/cd.txt b/bls/cd/cd.txt new file mode 100644 index 0000000000000000000000000000000000000000..109a04a4dd525a869a467e0128c943ce94cad6e5 --- /dev/null +++ b/bls/cd/cd.txt @@ -0,0 +1,498 @@ + Occupational Injuries and Illnesses - Characteristics Data (CD) + cd.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 (CD) + +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: Monthly, quarterly, and 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/cd: + + + cd.age - Age codes (mapping file) + cd.case - Case codes (mapping file) + cd.category - Category codes (mapping file) + cd.category2 - Category codes (mapping file) + cd.contacts - Contacts for CD survey + cd.data.0.Current - All current year-to-date data + cd.data.1.AllData - All data + cd.event - Event codes (mapping file) + cd.gender - Gender codes (mapping file) + cd.industry - Industry codes (mapping file) + cd.los - LOS codes (mapping file) + cd.nature - Nature codes (mapping file) + cd.occupation - Occupation codes (mapping file) + cd.pob - POB codes (mapping file) + cd.race - Race codes (mapping file) + cd.series - All series with beginning and end dates + cd.source - Source codes (mapping file) + cd.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 +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 cd.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 CDU00000033 + +2. category_code 2 00 + +3. datatype_code 1 3 + +4. casetype_code 1 3 + +5. age_code 4 19XX + +6. los_code 4 0000 + +7. race_code 4 1XXX + +8. gender_code 4 MXXX + +9. pob_code 4 00XX + +10. event_code 4 010X + +11. source_code 4 0110 + +12. occupation_code 4 0090 + +13. nature_code 4 011X + +14. industry_code 4 0100 + +15. footnote_codes 10 It varies + +16. begin_year 4 1992 + +17. begin_period 3 A01 + +18. end_year 4 1999 + +19. end_period 3 A01 + +The series_id (CDUSH332233) can be broken out into: + +Code = Value + +survey abbreviation = CD +seasonal adjustment code = U +case category = SH +detail code = 3322 +datatype code = 3 +case type code = 3 + +============================================================================ +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 ml.data file is partitioned into two separate files: + + 1. cd.data.0.Current = All current year-to-date data + 2. cd.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 CDUSH332233 + +2. year 4 1998 + +3. period 3 M01 + +4. value 12 2360 + +5. footnote_codes 10 It varies + +The series_id (CDUSH332233) can be broken out into: + +Code = Value + +survey abbreviation = CD +seasonal adjustment code = U +case category = SH +detail code = 3322 +datatype code = 3 +case type code = 3 + +============================================================================ +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: cd.age + +Field #/Data Element Length Value(Example) + +1. age_code 4 14XX + +2. age_text 100 Text + + +File Name: cd.case + +Field #/Data Element Length Value(Example) + +1. case_code 1 N + +2. case_text 100 Text + + +File Name: cd.category + +Field #/Data Element Length Value(Example) + +1. case_code 1 3 + +2. category_code 2 09 + +3. category_text 100 Text + + +File Name: cd.category2 + +Field #/Data Element Length Value(Example) + +1. category_code 2 09 + +2. category_text 100 Text + + +File Name: cd.datatype + +Field #/Data Element Length Value(Example) + +1. datatype_code 1 3 + +2. datatype_text 100 Text + + +File Name: cd.event + +Field #/Data Element Length Value(Example) + +1. event_code 4 0XXX + +2. event_text 100 Text + + +File Name: cd.gender + +Field #/Data Element Length Value(Example) + +1. gender_code 4 FXXX + +2. gender_text 100 Text + + +File Name: cd.industry + +Field #/Data Element Length Value(Example) + +1. industry_code 4 0100 + +2. industry_text 100 Text + + +File Name: cd.los + +Field #/Data Element Length Value(Example) + +1. los_code 4 NRXX + +2. los_text 100 Text + + +File Name: cd.nature + +Field #/Data Element Length Value(Example) + +1. nature_code 4 00XX + +2. nature_text 100 Text + + +File Name: cd.occupation + +Field #/Data Element Length Value(Example) + +1. occupation_code 4 0030 + +2. occupation_text 100 Text + + +File Name: cd.pob + +Field #/Data Element Length Value(Example) + +1. pob_code 4 0XXX + +2. pob_text 100 Text + + +File Name: cd.race + +Field #/Data Element Length Value(Example) + +1. race_code 4 2XXX + +2. race_text 100 Text + + +File Name: cd.source + +Field #/Data Element Length Value(Example) + +1. source_code 4 010X + +2. source_text 100 Text + +============================================================================ +Section 7 +============================================================================ + +OCCUPATIONAL INJURIES AND ILLNESSES--CHARACTERISTICS DATA (CD) DATABASE +ELEMENTS + +Data Element Length Value(Example) Description + +age_code 4 19XX 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 M06 Identifies first data + Ex: M06=June observation within the + first year for which data + are available for a given + time series. + +begin_year 4 1992 Identifies first year for + which data are available + for a given time series. + +case_code 1 N Code identifying case. + +case_text 100 Text Describes case. + +casetype_code 1 A Code identifying type of + Ex: A=Industry case for which data are + division or available for a given time + length of absence series. + by age group + + +category_code 2 09 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: 10=Mining, or characteristic for + NB=Fractures which data are available + for a given time series. + +datatype_code 1 3 Code identifying the + datatype of the + observation. + +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 1998 Identifies last year for + which data are available + for a given time series. + +event_code 4 010X Code identifying the event + which resulted in the + reported injury or + illness. +event_text 100 Text Names the event which + Ex: Fall from resulted in the reported + roof injury or illness. + +footnote_code 10 It varies Identifies footnote for + the data series. + +gender_code 4 MXXX 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. + +industry_code 4 0100 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 4 NRXX 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 4 011X Code identifying the + nature of the injury or + illness. + +nature_text 100 Text Names the nature of the + Ex: Burns injury or illness. + +occupation_code 4 0090 Code identifying the + occupation of the person + experiencing the injury or + illness. + +occupation_text 100 Text Names the occupation of + Ex: Dentists the person experiencing + the injury or illness. + +period 3 M01 Identifies period for which data + Ex: M01=Jan is observed. + +pob_code 4 00XX Code identifying the part + of body affected. + +pob_text 100 Text Names the part of body + Ex: Forearm(s) affected. + +race_code 4 1XXX 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 CDUSH332233 Unique series identifier + +source_code 4 0110 Code identifying the + source of the injury or + illness. + +source_text 100 Text Names the source of the + Ex: Insecticides injury or illness. + +value 12 2360 Observation for the series. + +year 4 1998 Identifies year of observation. + \ No newline at end of file diff --git a/bls/cd/cd_age.parquet b/bls/cd/cd_age.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f0668e3ff7ce80ad7762525219607efbc3f2f41e --- /dev/null +++ b/bls/cd/cd_age.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ef8733072cf66c8fee033e85dc6c06b3dd3253d7ea27072da7e12742a181f9dd +size 1839 diff --git 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sha256:ad3ee4e7ac82248e38fa6ffd8431d851a5dab22b08210b3ecd05d3573a901fd5 +size 1523718 diff --git a/bls/cd/cd_source.parquet b/bls/cd/cd_source.parquet new file mode 100644 index 0000000000000000000000000000000000000000..cf9e684d28838c931b3c7aa7acad5768b27982c9 --- /dev/null +++ b/bls/cd/cd_source.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9823ee5035cb7a178dda14e2b0683349f6571fa8359f9cf5678379a2106c8069 +size 5746 diff --git a/bls/ce/README.md b/bls/ce/README.md new file mode 100644 index 0000000000000000000000000000000000000000..89ffce576bab25587e096208201c0b4b0e3bd3fa --- /dev/null +++ b/bls/ce/README.md @@ -0,0 +1,73 @@ +# BLS survey `ce` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/ce/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `ce.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 | +|---|---|---| +| ce.contacts | 6 | National Current Employment Statistics (CES) Contacts | +| ce.data.0.AllCESSeries | 8381987 | series_id, year, period, value, footnote_codes | +| ce.data.00a.TotalNonfarm.Employment | 5162 | series_id, year, period, value, footnote_codes | +| ce.data.01a.CurrentSeasAE | 402357 | series_id, year, period, value, footnote_codes | +| ce.data.02b.AllRealEarningsAE | 561230 | series_id, year, period, value, footnote_codes | +| ce.data.03c.AllRealEarningsPE | 825076 | series_id, year, period, value, footnote_codes | +| ce.data.05a.TotalPrivate.Employment | 23992 | series_id, year, period, value, footnote_codes | +| ce.data.05b.TotalPrivate.AllEmployeeHoursAndEarnings | 13933 | series_id, year, period, value, footnote_codes | +| ce.data.05c.TotalPrivate.ProductionEmployeeHoursAndEarnings | 45562 | series_id, year, period, value, footnote_codes | +| ce.data.10a.MiningAndLogging.Employment | 51508 | series_id, year, period, value, footnote_codes | +| ce.data.10b.MiningAndLogging.AllEmployeeHoursAndEarnings | 55206 | series_id, year, period, value, footnote_codes | +| ce.data.10c.MiningAndLogging.ProductionEmployeeHoursAndEarnings | 98039 | series_id, year, period, value, footnote_codes | +| ce.data.20a.Construction.Employment | 115163 | series_id, year, period, value, footnote_codes | +| ce.data.20b.Construction.AllEmployeeHoursAndEarnings | 174780 | series_id, year, period, value, footnote_codes | +| ce.data.20c.Construction.ProductionEmployeeHoursAndEarnings | 284045 | series_id, year, period, value, footnote_codes | +| ce.data.30a.Manufacturing.Employment | 8146 | series_id, year, period, value, footnote_codes | +| ce.data.30b.Manufacturing.AllEmployeeHoursAndEarnings | 6320 | series_id, year, period, value, footnote_codes | +| ce.data.30c.Manufacturing.ProductionEmployeeHoursAndEarnings | 24425 | series_id, year, period, value, footnote_codes | +| ce.data.31a.ManufacturingDurableGoods.Employment | 242746 | series_id, year, period, value, footnote_codes | +| ce.data.31b.ManufacturingDurableGoods.AllEmployeeHoursAndEarnings | 389604 | series_id, year, period, value, footnote_codes | +| ce.data.31c.ManufacturingDurableGoods.ProductionEmployeeHoursAndEarnings | 527762 | series_id, year, period, value, footnote_codes | +| ce.data.32a.ManufacturingNondurableGoods.Employment | 120699 | series_id, year, period, value, footnote_codes | +| ce.data.32b.ManufacturingNondurableGoods.AllEmployeeHoursAndEarnings | 150402 | series_id, year, period, value, footnote_codes | +| ce.data.32c.ManufacturingNondurableGoods.ProductionEmployeeHoursAndEarnings | 180295 | series_id, year, period, value, footnote_codes | +| ce.data.40a.TradeTransportationAndUtilities.Employment | 5329 | series_id, year, period, value, footnote_codes | +| ce.data.40b.TradeTransportationAndUtilities.AllEmployeeHoursAndEarnings | 4617 | series_id, year, period, value, footnote_codes | +| ce.data.40c.TradeTransportationAndUtilities.ProductionEmployeeHoursAndEarnings | 14112 | series_id, year, period, value, footnote_codes | +| ce.data.41a.WholesaleTrade.Employment | 142019 | series_id, year, period, value, footnote_codes | +| ce.data.41b.WholesaleTrade.AllEmployeeHoursAndEarnings | 206973 | series_id, year, period, value, footnote_codes | +| ce.data.41c.WholesaleTrade.ProductionEmployeeHoursAndEarnings | 319140 | series_id, year, period, value, footnote_codes | +| ce.data.42a.RetailTrade.Employment | 166888 | series_id, year, period, value, footnote_codes | +| ce.data.42b.RetailTrade.AllEmployeeHoursAndEarnings | 257562 | series_id, year, period, value, footnote_codes | +| ce.data.42c.RetailTrade.ProductionEmployeeHoursAndEarnings | 370710 | series_id, year, period, value, footnote_codes | +| ce.data.43a.TransportationAndWarehousingAndUtilities.Employment | 103569 | series_id, year, period, value, footnote_codes | +| ce.data.43b.TransportationAndWarehousingAndUtilities.AllEmployeeHoursAndEarnings | 151803 | series_id, year, period, value, footnote_codes | +| ce.data.43c.TransportationAndWarehousingAndUtilities.ProductionEmployeeHoursAndEarnings | 201798 | series_id, year, period, value, footnote_codes | +| ce.data.50a.Information.Employment | 60235 | series_id, year, period, value, footnote_codes | +| ce.data.50b.Information.AllEmployeeHoursAndEarnings | 91998 | series_id, year, period, value, footnote_codes | +| ce.data.50c.Information.ProductionEmployeeHoursAndEarnings | 129528 | series_id, year, period, value, footnote_codes | +| ce.data.55a.FinancialActivities.Employment | 140691 | series_id, year, period, value, footnote_codes | +| ce.data.55b.FinancialActivities.AllEmployeeHoursAndEarnings | 234567 | series_id, year, period, value, footnote_codes | +| ce.data.55c.FinancialActivities.ProductionEmployeeHoursAndEarnings | 290214 | series_id, year, period, value, footnote_codes | +| ce.data.60a.ProfessionalBusinessServices.Employment | 222276 | series_id, year, period, value, footnote_codes | +| ce.data.60b.ProfessionalBusinessServices.AllEmployeeHoursAndEarnings | 321948 | series_id, year, period, value, footnote_codes | +| ce.data.60c.ProfessionalBusinessServices.ProductionEmployeeHoursAndEarnings | 518796 | series_id, year, period, value, footnote_codes | +| ce.data.65a.EducationAndHealthCare.Employment | 164238 | series_id, year, period, value, footnote_codes | +| ce.data.65b.EducationAndHealthCare.AllEmployeeHoursAndEarnings | 225369 | series_id, year, period, value, footnote_codes | +| ce.data.65c.EducationAndHealthCare.ProductionEmployeeHoursAndEarnings | 372960 | series_id, year, period, value, footnote_codes | +| ce.data.70a.LeisureAndHospitality.Employment | 104782 | series_id, year, period, value, footnote_codes | +| ce.data.70b.LeisureAndHospitality.AllEmployeeHoursAndEarnings | 170181 | series_id, year, period, value, footnote_codes | +| ce.data.70c.LeisureAndHospitality.ProductionEmployeeHoursAndEarnings | 240606 | series_id, year, period, value, footnote_codes | +| ce.data.80a.OtherServices.Employment | 119621 | series_id, year, period, value, footnote_codes | +| ce.data.80b.OtherServices.AllEmployeeHoursAndEarnings | 179379 | series_id, year, period, value, footnote_codes | +| ce.data.80c.OtherServices.ProductionEmployeeHoursAndEarnings | 269082 | series_id, year, period, value, footnote_codes | +| ce.data.90a.Government.Employment | 61211 | series_id, year, period, value, footnote_codes | +| ce.data.Goog | 35496 | series_id, year, period, value, footnote_codes | +| ce.datatype | 41 | data_type_code, data_type_text | +| ce.footnote | 7 | footnote_code, footnote_text | +| ce.industry | 850 | industry_code, naics_code, publishing_status, industry_name, display_level, selectable, sort_sequence | +| ce.period | 13 | period, mm, month | +| ce.seasonal | 2 | seasonal_code, seasonal_text | +| ce.series | 22049 | series_id, supersector_code, industry_code, data_type_code, seasonal, series_title, footnote_codes, begin_year, begin_period, end_year, end_period | +| ce.supersector | 22 | supersector_code, supersector_name | diff --git a/bls/ce/ce.txt b/bls/ce/ce.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba71a3b853b515638f0f6e48cbf1a38374beaf9e --- /dev/null +++ b/bls/ce/ce.txt @@ -0,0 +1,680 @@ +Current Employment Statistics: Employment, Hours, and Earnings--National (CE) + ce.txt + +Section Listing + +1. Survey Definition +2. Text 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 +====================================================================================== + +Definition of CURRENT EMPLOYMENT STATISTICS: EMPLOYMENT, HOURS, AND EARNINGS NATIONAL +(CE) + +Survey Description: +The Current Employment Statistics (CES) program provides estimates of employment, +hours, and earnings information on a national basis and in considerable industry +detail. The Bureau of Labor Statistics collects payroll data each month from a sample +of business and government establishments in all nonfarm activities. + +Employment data include series for total employment, number of women employees, and +number of production or nonsupervisory employees. Estimates of average hourly +earnings, average weekly hours, average weekly earnings, and average weekly overtime +hours are produced for both all employees and for production or nonsupervisory +employees. Overtime hours are produced for manufacturing industries only. + +A sample of approximately 119,000 businesses and government agencies representing +approximately 622,000 worksites throughout the United States is utilized for this +monthly survey. The sample contains about 324,000 employer units. + +All employment, hours and earnings series are classified according to the 2022 North +American Industry Classification System (NAICS). The industry code used in the survey +corresponds to the NAICS code, except in those cases where multiple industries have +been combined. + +Summary of Data Available: +For all employees, women employees, and production or nonsupervisory employees, CES +publishes about 3,800 monthly series. The series for all employees cover about +900 industries on both a seasonally adjusted and not seasonally adjusted basis. + +Approximately 2,100 series for AHE, AWH, and, in manufacturing, AWOH for both all +employee and production and nonsupervisory employees are published monthly on a not +seasonally adjusted basis and cover approximately 500 industries. + +Over 3,900 seasonally adjusted employment, hours, and earnings series for AE, PE, and +WE are published. About 7,100 derivative series such as average weekly earnings (AWE), +indexes, and constant-dollar series for AE and PE are also published for about +500 industries. + +Most employment series begin in 1990, although some series, including industry +supersectors, are available from 1939. Supersectors include: mining and logging; +construction; manufacturing; trade, transportation, and utilities; information; +financial activities; professional and business services; private education and health +services; leisure and hospitality; other services; and government. + +Due to the 2025 lapse in appropriations, real earnings data for October 2025 and +total nonfarm collection rate values for October 2025 first preliminary estimates +and September 2025 second preliminary estimates are not available. + + +Frequency of Observations: +Data series are monthly in most cases; quarterly averages are available for total +employment, average weekly hours, and average overtime hours, seasonally adjusted +(datatypes 19, 20, 25, 36, and 37). + +Annual averages are available for all series that are not adjusted for seasonality +(except for the 12-month diffusion index series). + +Data Characteristics: +Earnings are measured in dollars and are published to the nearest cent (two decimal +places). Average weekly and overtime hours are measured in hours and are published to +the nearest tenth of an hour (one decimal place). + +Employment is measured in thousands of workers and is stored with no decimal place for +all supersectors and for both durable goods and nondurable goods in manufacturing. +Employment for all other industries are stored to one decimal place. + +Special characteristics of the data are footnoted where necessary. For example; I +indicates that the seasonally adjusted series is independently seasonally adjusted and +not used in aggregating to higher summary industries. For all employees, higher +summary series, such as total nonfarm, are aggregated up from the 3-digit NAICS level. + +Release Schedule: https://www.bls.gov/ces/publications/news-release-schedule.htm +Releases are usually available on the third Friday following the week containing the +12th of the reference month (the reference period is the pay period that includes the +12th of the month). Each release contains first preliminary estimates for the +reference month, second preliminary estimates for the month preceding the reference +month, and third final estimates for the month two months prior to the reference +month. + +Each year with the release of January estimates in February, CES data are re-anchored +to universe counts of nonfarm employment or benchmarks for the most recent March. For +example, CES introduced March 2024 benchmark counts with the release of January 2025 +first preliminary estimates in February 2025. On a not seasonally adjusted basis, all +series are subject to revision back to the prior year s benchmarked data (21 months of +data), while 5 years of seasonally adjusted estimates are subject to revision +(or more if required due to a series reconstruction). + +References: BLS Handbook of Methods, Current Employment Statistics, National, +https://www.bls.gov/opub/hom/ces/concepts.htm + +====================================================================================== +Section 2 +====================================================================================== + +Text files listed in the survey directory + +Text files allow data users to retrieve large amounts of data with one selection. +These datasets are highly suited for statistical software that manipulate large +datasets. The files are arranged first on a broad industry base, followed by industry +specific groups. In addition to data files, a series of mapping files are also +available and provide a means for identifying all variables in the data files. This +section identifies and describes the multi-series text files available for download +from the LABSTAT database at https://download.bls.gov/pub/time.series/ce/. + +These four files contain data for most or all supersectors combined. + + *ce.data.0.ALLCESSeries - contains the entire history of all series + currently published by the CES program. With the release of November 2024 + data on December 6, 2024, new series reflecting the monthly collection rates + for the first preliminary, second preliminary, and third release of data for + total nonfarm, as well as monthly response rates (at third release of data) + for total private, have been included in this file. These series are identified + as CEU00000000C1, CEU00000000C2, CEU00000000C3, and CEU05000000RR. + These 4 additional series represent the only series changes to this file from + the previous published version. + + *ce.data.01a.CurrentSeasAE - contains every seasonally adjusted all employee series + and its complete history. + + *ce.data.02b.AllRealEarningsAE - contains the complete history of real + earnings of all employees for every industry for which CES + also publishes current dollar earnings series. The series in this + file include (data type number in parenthesis): + * Average Weekly Earnings of All Employees $82-84 (12) + * Average Hourly Earnings of All Employees $82-84 (13) + + *ce.data.03c.AllRealEarningsPE - contains the complete history of real + earnings of production or nonsupervisory employees for every + industry for which CES also publishes current dollar earnings + series. The series in this file include: + * Average Weekly Earnings of Production Employees, $82-84 (31) + * Average Hourly Earnings of Production Employees, $82-84 (32) + +The ce.data.Goog file contains the following datatypes, if applicable, for all supersectors +listed in the ce.supersector mapping file: + * All employees + * Average weekly hours of all employees + * Average hourly earnings of all employees + * Average weekly earnings of all employees + + +The remaining CES text files are categorized first by Supersector, then by groups of +datatypes. + +The list of CES supersectors in LABSTAT are shown in +https://download.bls.gov/pub/time.series/ce/ce.supersector. + +The list of CES datatypes in LABSTAT are shown in +https://download.bls.gov/pub/time.series/ce/ce.datatype. + +Each filename contains four parts separated by a period (.). +For example: ce.data.05b.TotalPrivate.AllEmployeeHoursAndEarnings + +The 4 parts to the filename are: + +1) ce - the data in the file pertain to the national estimates from the CES + survey. +2) data - the file contains data as opposed to mapping files (mentioned later). +3) 2 numerical digits plus 1 alpha character - the digits identify a + Supersector or other major industry grouping, and the alpha character + represents a data type package label, where, + + a - Employment - includes all employment datatypes + (Datatype codes shown in parentheses): + + * All employees (01) + * Production or nonsupervisory employees (06) + * Women employees (10) + * 1-month diffusion index (21) + * 3-month diffusion index (22) + * 6-month diffusion index (23) + * 12-month diffusion index (24) + * All employee quarterly average (25) + * 3-month moving average change (26) + + b - Hours and earnings of all employees - includes all hours and earnings + datatypes for all employee payroll: (Data type numbers shown in + parentheses) + + * Average weekly hours for all employees (02) + * Average hourly earnings for all employees (03) + * Average overtime hours of all employees (04) + * Average weekly earnings of all employees (11) + * Average weekly earnings of all employees $82-84 (12) + * Average hourly earnings of all employees $82-84 (13) + * Average hourly earnings of all employees excluding overtime (15) + * Index of aggregate weekly hours of all employees, 2007=100 (16) + * Index of aggregate weekly payrolls of all employees, 2007=100 (17) + * Quarterly average weekly hours of all employees (19) + * Quarterly average weekly overtime hours of all employees (20) + * Aggregate weekly hours of all employees (56) + * Aggregate weekly payrolls of all employees (57) + * Aggregate weekly overtime hours of all employees (58) + + c - Production employee hours and earnings - includes all hours and + earnings data types for production or nonsupervisory + employees: (Data type numbers shown in parentheses) + + * Average weekly hours for production employees (07) + * Average hourly earnings for production employees (08) + * Average weekly overtime hours of production employees (09) + * Average weekly earnings of production employees (30) + * Average weekly earnings of production employees, $82-84 (31) + * Average hourly earnings of production employees, $82-84 (32) + * Average hourly earnings of production employees excluding + overtime (33) + * Index of aggregate hours of production employees, 2002=100 (34) + * Index of aggregate payrolls of production employees, 2002=100 (35) + * Quarterly average weekly hours of production employees (36) + * Quarterly average weekly overtime hours of production + employees (37) + * Aggregate weekly hours of production employees (81) + * Aggregate weekly payrolls of production employees (82) + * Aggregate weekly overtime hours of production employees (83) + +4) File Description - a two phase descriptive listing of data file contents. + The first half is the supersector or industry name (list of + supersectors and industries are in + http://download.bls.gov/pub/time.series/ce/ce.supersector ). + The second half is the data type grouping (employment, all employee + hours and earnings, and production employee hours and earnings) + described above. + +The complete list of data files available for retrieval on the text file page +follows. + + * ce.data.0.ALLCESSeries + + * ce.data.01a.CurrentSeasAE + + * ce.data.02b.AllRealEarningsAE + + * ce.data.03c.AllRealEarningsPE + + * ce.data.00a.TotalNonfarm.Employment + + * ce.data.05a.TotalPrivate.Employment + + * ce.data.05b.TotalPrivate.AllEmployeeHoursAndEarnings + + * ce.data.05c.TotalPrivate.ProductionEmployeeHoursAndEarnings + + * ce.data.10a.MiningAndLogging.Employment + + * ce.data.10b.MiningAndLogging.AllEmployeeHoursAndEarnings + + * ce.data.10c.MiningAndLogging.ProductionEmployeeHoursAndEarnings + + * ce.data.20a.Construction.Employment + + * ce.data.20b.Construction.AllEmployeeHoursAndEarnings + + * ce.data.20c.Construction.ProductionEmployeeHoursAndEarnings + + * ce.data.30a.Manufacturing.Employment + + * ce.data.30b.Manufacturing.AllEmployeeHoursAndEarnings + + * ce.data.30c.Manufacturing.ProductionEmployeeHoursAndEarnings + + * ce.data.31a.ManufacturingDurables.Employment + + * ce.data.31b.ManufacturingDurables.AllEmployeeHoursAndEarnings + + * ce.data.31c.ManufacturingDurables.ProductionEmployeeHoursAndEarnings + + * ce.data.32a.ManufacturingNondurables.Employment + + * ce.data.32b.ManufacturingNondurables.AllEmployeeHoursAndEarnings + + * ce.data.32c.ManufacturingNondurables.ProductionEmployeeHoursAndEarnings + + * ce.data.40a.TradeTransportationAndUtilities.Employment + + * ce.data.40b.TradeTransportationAndUtilities.AllEmployeeHoursAndEarnings + + * ce.data.40c.TradeTransportationAndUtilities.ProductionEmployeeHoursAndEarnings + + * ce.data.41a.WholesaleTrade.Employment + + * ce.data.41b.WholesaleTrade.AllEmployeeHoursAndEarnings + + * ce.data.41c.WholesaleTrade.ProductionEmployeeHoursAndEarnings + + * ce.data.42a.RetailTrade.Employment + + * ce.data.42b.RetailTrade.AllEmployeeHoursAndEarnings + + * ce.data.42c.RetailTrade.ProductionEmployeeHoursAndEarnings + + * ce.data.43a.TransportationAndWarehousingAndUtilities.Employment + + * ce.data.43b.TransportationAndWarehousingAndUtilities.AllEmployeeHoursAndEarnings + + * ce.data.43c.TransportationAndWarehousingAndUtilities. + ProductionEmployeeHoursAndEarnings (Very long name - all continuous) + + * ce.data.50a.Information.Employment + + * ce.data.50b.Information.AllEmployeeHoursAndEarnings + + * ce.data.50c.Information.ProductionEmployeeHoursAndEarnings + + * ce.data.55a.FinancialActivities.Employment + + * ce.data.55b.FinancialActivities.AllEmployeeHoursAndEarnings + + * ce.data.55c.FinancialActivities.ProductionEmployeeHoursAndEarnings + + * ce.data.60a.ProfessionalBusinessServices.Employment + + * ce.data.60b.ProfessionalBusinessServices.AllEmployeeHoursAndEarnings + + * ce.data.60c.ProfessionalBusinessServices.ProductionEmployeeHoursAndEarnings + + * ce.data.65a.PrivateEducationandHealthCare.Employment + + * ce.data.65b.PrivateEducationandHealthCare.AllEmployeeHoursAndEarnings + + * ce.data.65c.PrivateEducationandHealthCare.ProductionEmployeeHoursAndEarnings + + * ce.data.70a.LeisureAndHospitality.Employment + + * ce.data.70b.LeisureAndHospitality.AllEmployeeHoursAndEarnings + + * ce.data.70c.LeisureAndHospitality.ProductionEmployeeHoursAndEarnings + + * ce.data.80a.OtherServices.Employment + + * ce.data.80b.OtherServices.AllEmployeeHoursAndEarnings + + * ce.data.80c.OtherServices.ProductionEmployeeHoursAndEarnings + + * ce.data.90a.Government.Employment + + * ce.data.Goog + + +Additionally, the following files are available and will be described in later +sections of this document. + + ce.contacts - Contact information for the national CES program + ce.datatype - Data_type_code mapping file + ce.footnote - Footnote codes mapping file + ce.industry - Industry codes mapping file + ce.period - Period codes mapping file + ce.seasonal - Seasonal Adjustment codes mapping file + ce.series - All available series numbers with series titles + ce.supersector - Super sector codes mapping file + ce.txt - General information (this document) + +====================================================================================== +Section 3 +====================================================================================== +Time series, series file, data file, & mapping file definitions and relationships + +A time series refers to a set of data observed over an extended period of time +for a consistent time interval (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 text files are organized to provide data users with the necessary information 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, or definition files, contain explanatory text descriptions +that correspond to 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 indicates annual averages) +d) value +e) footnote code (if necessary) + +====================================================================================== +Section 4 +====================================================================================== +Series file format and field definitions + +The first line of the ce.series files shows several fields or data elements separated +by tabs. Each of the remaining lines in ce.series represents one unique CES series. +Note that the field numbers are for reference only and do not exist in the LABSTAT +database. Data files are in ASCII text format. Each data element is +listed below and shows the length of the data element field followed by a value +(example). Each series record ends with a new line character. + +Field # Data Element Length Value(Example) + + 1 Series_id 17 CEU0500000001 + + 2 Supersector_code 2 05 + + 3 NAICS tabcode 8 10113300 (industry code) + + 4 Datatype Code 2 01 + + 5 Series title 104 3 parts to series title; + Datatype, + Industry name, and + seasonality (adjusted or unadjusted) + + 6 Footnote_codes 10 I (Independent Seasonally Adjusted) + + 7 Begin_year 4 1939 + + 8 Begin_period 3 M01 (January) + + 9 End_year 4 2016 + + 10 End_period 3 M12 (December) + + +The series_id (CEU0500000001) can be broken out further into four variables: + + Variable Value + survey abbreviation CE + seasonal (code) U or S + CES industry_code 05000000, where 05 is the supersector, and 000000 + represents the NAICS industry code + data_type_code 01 + +====================================================================================== +Section 5 +====================================================================================== +Data file format and field definitions + +The first line of each data file shows several fields or data elements separated +by tabs. Each of the remaining lines in the data file represents one unique CES series +and data point and is divided into fields or data elements. Note that the field +numbers are for reference only and do not exist in the LABSTAT database. Data files +are in ASCII text format. Each data element is listed below and shows the name of the +element, the length of the data element field, and a value example. Each data record +ends with a new line character. + +The ce.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 CEU0500000001 + + 2. year 4 2003 + + 3. period 3 M01 + + 4. value 12 103623 + + 5. footnote_codes 10 p (Preliminary) + + +====================================================================================== +Section 6 +====================================================================================== +Mapping file formats and field definitions + +The following represents file formats and field definitions for each mapping file. +Note that the field numbers are for reference only; they do not exist in the +LABSTAT database. Mapping files are in ASCII text format. Data elements are +separated by tabs; the first record of each file contains the data elements stored +in the file. Each record ends with a new line character. + +File Name: ce.datatype https://download.bls.gov/pub/time.series/ce/ce.datatype + + Field #/Data Element Length Value (Example) + + 1. data_type_code 2 30 + + 2. data_type_text 100 Average Weekly Hours of All Employees + + +File Name: ce.footnote https://download.bls.gov/pub/time.series/ce/ce.footnote + + Field #/Data Element Length Value (Example) + + 1. footnote_code 1 I + + 2. footnote_text 100 Text (Preliminary) + + +File Name: ce.industry https://download.bls.gov/pub/time.series/ce/ce.industry + + Field #/Data Element Length Value(Example) + + 1. industry_code 8 05000000 + + 2. naics_code 13 236 + + 3. publishing_status 2 (AO) Alpha characters displaying published + (A) datatypes for industry + + 4. industry_name 80 (Construction of buildings) + + 5. display_level 1 Character displaying where industry + lies in hierarchy of industries + + +File Name: ce.period https://download.bls.gov/pub/time.series/ce/ce.period + + Field #/Data Element Length Value (Example) + + 1. period 3 M02 + + 2. period_abbr 5 FEB + + 3. period_name 20 February + + +File Name: ce.series https://download.bls.gov/pub/time.series/ce/ce.series + + Field #/Data Element Length Value (Example) + + 1. series_id 13 CES0500000001 + + 2. supersector_code 2 05 + + 3. industry_code 8 05000000 + + 4. data_type_code 2 01 + + 5. seasonal 1 S or U + + 6. series_title 104 3 parts to series title; datatype, + industry name, and seasonality + + 7. begin_year 4 YYYY (2006) + + 8. begin_period 3 M01-M13 + + 9. end_year 4 YYYY (2017) + + 10. end_period 3 M01-M13 + + +File Name: ce.supersector https://download.bls.gov/pub/time.series/ce/ce.supersector + + Field #/Data Element Length Value (Example) + + 1. supersector_code 2 05 + + 2. supersector_name 60 Manufacturing + + +====================================================================================== +Section 7 +====================================================================================== +Data Element Dictionary + +EMPLOYMENT, HOURS, AND EARNINGS--NATIONAL (CE) DATABASE ELEMENTS + +Data Element Length Value (Example) Description + +begin_period 3 M01-M13 Identifies first data observation + Ex: M06=June within the first year for which + M13=Annual Avg) data is available for a given + time series. + +begin_year 4 YYYY Identifies first year for which + Ex: 2006 data is available for a given time + Series + +data_type_code 2 30 Code identifying the datatype + of the observation. + +data_type_text 100 Text Datatype name of the observation. + (All employees, thousands) + +end_period 3 M01-M13 Identifies last data observation + Ex: M06=June within the last year for which + M=Monthly, data is available for a given time + M13=Annual Avg) series. + +end_year 4 YYYY Identifies last year for which + Ex: 2017 data is available for a given + time series. + +footnote_code 1 p Identifies footnote for the data + series. + +footnote_codes 10 p, I Identifies multiple footnotes + for the data series. + +footnote_text 100 preliminary Contains the text of the footnote. + +industry_code 8 05000000 Code identifying industry. + +industry_name 80 Text Name of industry. + (Grocery Stores) + +naics_code 6 Numeric text North American Industry Classification + (445110) System (NAICS) code. + +period_abbr 5 Period name Abbreviation of period name. + (JUN) abbreviation + +Period 3 M01-M13 Identifies period for which + M06=June data is observed. + M13=Annual Average + M=Monthly + +period_name 20 Text (June) Full name of period to which + the data observation refers. + +publishing_status 2 Alpha characters one or two character(s) displaying the + specific datatypes published for the + industry. + (A) Employment, average weekly hours, and average hourly + and weekly earnings of all employees; employment of + women; employment, average weekly hours, and average + hourly and weekly earnings of production or + nonsupervisory employees. + (B) All employees and employment of women. + (C) All 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--- /dev/null +++ b/bls/ce/ce_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:63550ad533ce1b9c5e256144febfd73a8b69c2f90d7d533e73554db7f9d118c7 +size 244439 diff --git a/bls/ce/ce_supersector.parquet b/bls/ce/ce_supersector.parquet new file mode 100644 index 0000000000000000000000000000000000000000..8ca2475b5ddc8600e991476133c6fff2895acfe3 --- /dev/null +++ b/bls/ce/ce_supersector.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:84eb50cb17f0903783adbe832e65932e04c1158b296683be97066187de1d253a +size 2261 diff --git a/bls/cf/README.md b/bls/cf/README.md new file mode 100644 index 0000000000000000000000000000000000000000..82fdee77fdd351957a813bbdc2638b3369b50af1 --- /dev/null +++ b/bls/cf/README.md @@ -0,0 +1,22 @@ +# BLS survey `cf` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/cf/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `cf.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 | +|---|---|---| +| cf.case | 5 | 0, Fatalities by detailed industry (all sectors) | +| cf.category | 881 | case_code, category_code, category_text | +| cf.category2 | 152 | category_code, category_text | +| cf.contacts | 55 | Safety, Health, and Working Conditions Contacts | +| cf.data.1.AllData | 550601 | series_id, year, period, value, footnote_codes | +| cf.datatype | 0 | 8, Fatal injuries (count) | +| cf.event | 267 | event_code, event_text, display_level, selectable, sort_sequence | +| cf.footnote | 3 | footnote_code, footnote_text | +| cf.industry | 1312 | industry_code, industry_text, display_level, selectable, sort_sequence | +| cf.occupation | 602 | occupation_code, occupation_text, display_level, selectable, sort_sequence | +| cf.series | 98621 | series_id, category_code, datatype_code, case_code, industry_code, event_code, source_code, occupation_code, Unnamed: 8, footnote_code, begin_year, begin_period, end_year, end_period | +| cf.source | 1424 | source_code, source_text, display_level, selectable, sort_sequence | diff --git a/bls/cf/cf.txt b/bls/cf/cf.txt new file mode 100644 index 0000000000000000000000000000000000000000..d93d442df13e4ec6e03fa1df85c98d2442847f1d --- /dev/null +++ b/bls/cf/cf.txt @@ -0,0 +1,398 @@ + CENSUS OF FATAL OCCUPATIONAL INJURIES (1992-2002) (CF) + cf.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: CENSUS OF FATAL OCCUPATIONAL INJURIES (1992-2002) (CF) + +Survey Description: + +The Bureau of Labor Statistics (BLS) Census of Fatal Occupational Injuries +(CFOI) +program collects data on fatal occupational injuries that is comprehensive, +timely, and verifiable. All groups of employees are included in CFOI, including +private sector workers, government workers, self-employed, and family +businesses. The program is a cooperative venture between the BLS and State +agencies. The State agencies collect, code, and verify fatality data which are +collected from workers' compensation reports, death certificates, accident +reports and news media, as well as from Federal agency sources provided by BLS. +All 50 States and the District of Columbia are represented in the CFOI data. + +The data are ultimately sent to BLS for tabulation of national occupational +fatality numbers. BLS provides detailed data on case characteristics such as +the event or exposure leading to the fatality, the source of the fatality, and +worker activity at the time of the incident. Event or exposure and source codes +are based on the BLS Occupational Injury and Illness Classification structure +which can be viewed at our Web site at http://www.bls.gov/oshhome.htm . BLS +also tabulates the number of occupational fatalities by demographic attributes +such as age, sex, race, ethnic origin,and occupation. (Occupation +classifications are based on the 1990 Bureau of the Census Occupational +Classification System.) These tabulations may be summarized by major industry +groups or by detailed industry (based on the 1987 Standard Industrial +Classification Manual.) A distinction is made between private sector and +government industries. + +Summary data available: The Census of Fatal Occupational Injuries data series +started in 1992. + +Frequency of observations: All data are annual. + +Data characteristics: All figures are actual numbers of fatalities. + +Updating schedule: Updates to the data become available approximately 8 months +following the close of the reference year. + + +================================================================================ +Section 2 +================================================================================ + +The following CENSUS OF FATAL OCCUPATIONAL INJURIES (1992-2002) files is on the BLS internet +in the sub-directory pub/time.series/cf: + + cf.case - Case codes mapping file + cf.category - Category codes mapping file + cf.category2 - Category codes mapping file + cf.contacts - Contacts for CFOI + cf.data.0.Current - All current year-to-date data + cf.data.1.AllData - All data + cf.datatype - Datatype codes mapping file + cf.event - Event codes mapping file + cf.footnote - Footnote codes mapping file + cf.industry - Industry codes mapping file + cf.occupation - Occupation codes mapping file + cf.series - All series with beginning and end dates + cf.source - Source codes mapping file + cf.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 (e.g. 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 (A01 annual) +d) value +e) footnote code (if available) +================================================================================ +Section 4 +================================================================================ +File Structure and Format: The following represents the file format used to +define cf.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 CFU00000080 + +2. category_code 2 00 + +3. datatype_code 1 8 + +4. case_code 1 9 + +5. industry_code 4 0100 + +6. event_code 4 639X + +7. source_code 4 98XX + +8. occupation_code 4 0040 + +9. begin_year 4 1992 + +9. begin_period 3 A01 + +9. end_year 4 2000 + +10. end_period 3 A01 + + +The series_id (CFU00000080) can be broken out into: + +Code Value + +survey abbreviation = CF +seasonal(code) = U +category_code = 00 +datatype_code = 0 +case_code = 0 +industry_code = 0080 + + + + + +================================================================================ +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 cf.data file is partitioned into two separate files: + + 1. cf.data.0.Current - All current year-to-date data + 2. cf.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 CFU00000080 + +2. year 4 1996 + +3. period 3 A01 + +4. value 12 6202 + +5. footnote_codes 10 It varies + + +The series_id (CFU00000080) can be broken out into: + +Code Value + +survey abbreviation = CF +seasonal(code) = U +category_code = 00 +datatype_code = 0 +casep_code = 0 +industry_code = 0080 +================================================================================ +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: cf.case + +Field #/Data Element Length Value(Example) + +1. case_code 1 9 + +2. case_text 100 Text + + +File Name: cf.category + +Field #/Data Element Length Value(Example) + +1. case_code 1 9 + +2. category_code 2 AA + +3. category_text 100 Text + + +File Name: cf.category2 + +Field #/Data Element Length Value(Example) + +1. category_code 2 AB + +2. category_text 100 Text + + +File Name: cf.datatype + +Field #/Data Element Length Value(Example) + +1. datatype_code 1 8 + +2. datatype_text 100 Text + + +File Name: cf.event + +Field #/Data Element Length Value(Example) + +1. event_code 4 639X + +2. event_text 100 Text + + +File Name: cf.footnote + +Field #/Data Element Length Value(Example) + +1. footnote_code 1 C + +2. footnote_text 100 Text + + +File Name: cf.industry + +Field #/Data Element Length Value(Example) + +1. industry_code 4 0119 + +2. industry_text 100 Text + + +File Name: cf.occupation + +Field #/Data Element Length Value(Example) + +1. occupation_code 4 0030 + +2. occupation_text 100 Text + + +File Name: cf.source + +Field #/Data Element Length Value(Example) + +1. source_code 4 98XX + +2. source_text 100 Text + +================================================================================ +Section 7 +================================================================================ +CENSUS OF FATAL OCCUPATIONAL INJURIES (CF) DATABASE ELEMENTS + + +Data Element Length Value(Example) Description + + begin_year 4 1992 Identifies first year for + which data are available. + +begin_period 3 A01 Identifies first data + observation within the first + year for which data are + available. + +category_code 2 00 The code identifies the + category of the observation. + +category_text 100 Text Describes the category of the + observation. + +case_code 1 S The code identifies the type + of case for which data are + available. + +case_text 100 Text Describes case for which data + are available. + +datatype_code 1 8 Code identifying the + datatype of the observation. + +datatype_text 100 Text Describes the datatype of the + observation. + +end_year 4 2000 Identifies last year for + which data are available. + +end_period 3 A01 Identifies last data + observation within the first + year for which data are + available. + +event_code 4 639X Names the event which + resulted in the reported + injury. + +event_text 100 Text Describes the event which + resulted in the reported + injury. + +footnote_code 1 639X 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 4 0100 The code identifies the + industry for which data are + observed. + +industry_text 100 Text Describes the industry for + which data are observed. + +occupation_code 4 0040 The code identifies the + occupation of the person + experiencing the injury. + +occupation_text 100 Text Describes the occupation of + the person experiencing the + injury. + +source_code 4 98XX The code identifies the + source of injury. + +source_text 100 Text Describes the + source of injury. + +series_id 17 CFU00000080 Code identifying the + specific series. + +value 12 Variable Data value for series. + +year 4 1990 Identifies year of + observation. + + + + + + diff --git a/bls/cf/cf_case.parquet b/bls/cf/cf_case.parquet new file mode 100644 index 0000000000000000000000000000000000000000..a17641fe90481889f74f3cf2a0429020c05baf21 --- /dev/null +++ b/bls/cf/cf_case.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7eef2e44df838d85f1227b893ef8d264be4abf7ef2b64cd4146b62ab61555cac +size 2169 diff --git a/bls/cf/cf_category.parquet b/bls/cf/cf_category.parquet new file mode 100644 index 0000000000000000000000000000000000000000..0ebbf565c9018191d10646ece6fd8d9174f4e906 --- /dev/null +++ b/bls/cf/cf_category.parquet @@ -0,0 +1,3 @@ +version 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0000000000000000000000000000000000000000..2203e236e9c97fd9f70bdb91d525c65f6722b30e --- /dev/null +++ b/bls/cf/cf_data_1_AllData.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3a4cbda4ab6e87efd1838b3c0e8383b60df67df2afb9c42a899748a33df67315 +size 1272310 diff --git a/bls/cf/cf_datatype.parquet b/bls/cf/cf_datatype.parquet new file mode 100644 index 0000000000000000000000000000000000000000..e77601ada1cacabbd1ea86257cab97898b4d6238 --- /dev/null +++ b/bls/cf/cf_datatype.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a3025bfa0e1cff08a2b337b436d6ba0fce1063a0a3d35f4aa26df7761c633bb +size 1534 diff --git a/bls/cf/cf_event.parquet b/bls/cf/cf_event.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f0d74f31fa04473f6b8cdc81f18bf8dbaefb58d8 --- /dev/null +++ b/bls/cf/cf_event.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:db6d9ad69aaa8b3dc85270605f9db3a84cc62c8b28af4ffabb32a1d65dd231ce +size 8020 diff --git a/bls/cf/cf_footnote.parquet b/bls/cf/cf_footnote.parquet new file mode 100644 index 0000000000000000000000000000000000000000..231727f40f856bfd45d751763f1ecc303204b019 --- /dev/null +++ b/bls/cf/cf_footnote.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6f40e42a57b76c0352808bedff9db1b099b30c16baf737ecf145de02b8a564fc +size 1874 diff --git a/bls/cf/cf_industry.parquet b/bls/cf/cf_industry.parquet new file mode 100644 index 0000000000000000000000000000000000000000..5b685c103d0f1d745f16e429f9e96d1decceafc6 --- /dev/null +++ b/bls/cf/cf_industry.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d493093d181aa63ee7188e59e688000f047a658bb282d510d24f7fc9134fe8f2 +size 24895 diff --git a/bls/cf/cf_occupation.parquet b/bls/cf/cf_occupation.parquet new file mode 100644 index 0000000000000000000000000000000000000000..e85c5100edd5bc16d36148e9a0179d6decaf984f --- /dev/null +++ b/bls/cf/cf_occupation.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e4ecf17ac13a3c9392d6869d1cf98fb30e2822ab77141502747c4275688d6b1f +size 14961 diff --git a/bls/cf/cf_series.parquet b/bls/cf/cf_series.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f286d28289fb33f66df777b9ff93d8bf82cb01a4 --- /dev/null +++ b/bls/cf/cf_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d08b2c69945f9737ab961593779a577eb39d82e6466dd099d8c6c16f853946e6 +size 552185 diff --git a/bls/cf/cf_source.parquet b/bls/cf/cf_source.parquet new file mode 100644 index 0000000000000000000000000000000000000000..9a4a6fffe530bc16c4f702fe418569a313c24eac --- /dev/null +++ b/bls/cf/cf_source.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dcb93a0539b44aa23499d278d1a2084a46f7599d2f2564f1b10f6b9a216849fe +size 27120 diff --git a/bls/ch/README.md b/bls/ch/README.md new file mode 100644 index 0000000000000000000000000000000000000000..5dc868ede703c1b5f330939b4b2bbddb91b98a2f --- /dev/null +++ b/bls/ch/README.md @@ -0,0 +1,33 @@ +# BLS survey `ch` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/ch/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `ch.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 | +|---|---|---| +| ch.age | 91 | age_code, age_text | +| ch.case | 14 | case_code, case_text | +| ch.category | 2139 | case_code, category_code, category_text | +| ch.contacts | 58 | Safety, Health, and Working Conditions Contacts | +| ch.data.1.AllData | 66161839 | series_id, year, period, value, footnote_codes | +| ch.datatype | 3 | datatype_code, datatype_text | +| ch.event | 259 | event_code, event_text, display_level, selectable, sort_sequence | +| ch.footnote | 2 | footnote_code, footnote_text | +| ch.gender | 4 | gender_code, gender_text | +| ch.hour | 12 | hour_code, hour_text | +| ch.industry | 1348 | industry_code, industry_text, display_level, selectable, sort_sequence | +| ch.los | 6 | los_code, los_text | +| ch.nature | 410 | nature_code, nature_text, display_level, selectable, sort_sequence | +| ch.occupation | 1289 | occupation_code, occupation_text, display_level, selectable, sort_sequence | +| ch.ownership | 5 | ownership_code, ownership_name | +| ch.pob | 157 | pob_code, pob_text, display_level, selectable, sort_sequence | +| ch.race | 10 | race_code, race_text | +| ch.series | 20224744 | series_id, 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 | +| ch.source | 1252 | source_code, source_text, display_level, selectable, sort_sequence | +| ch.special | 2 | special_code, special_text | +| ch.state | 47 | state_code, state_name, display_level, selectable, sort_sequence | +| ch.time | 8 | time_code, time_text | +| ch.weekday | 8 | weekday_code, weekday_text | diff --git a/bls/ch/ch.txt b/bls/ch/ch.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb3588f0753dff92df1299a16b7da61e3fae2477 --- /dev/null +++ b/bls/ch/ch.txt @@ -0,0 +1,616 @@ + Occupational Injuries and Illnesses - Characteristics Data (CH) + ch.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 (ch) + +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/ch: + + + ch.age - Age codes (mapping file) + ch.case - Case codes (mapping file) + ch.category - Category codes (mapping file) + ch.contacts - Contacts for ch survey + ch.data.0.Current - All current year-to-date data + ch.data.1.AllData - All data + ch.datatype - Datatype codes (mapping file) + ch.event - Event codes (mapping file) + ch.footnote - Footnote codes (mapping file) + ch.gender - Gender codes (mapping file) + ch.hour - Hour codes (mapping file) + ch.industry - Industry codes (mapping file) + ch.los - LOS codes (mapping file) + ch.nature - Nature codes (mapping file) + ch.occupation - Occupation codes (mapping file) + ch.ownership - Ownership codes (mapping file) + ch.pob - POB codes (mapping file) + ch.race - Race codes (mapping file) + ch.series - All series with beginning and end dates + ch.source - Source codes (mapping file) + ch.special - Special codes (mapping file) + ch.state - State codes (mapping file) + ch.time - Time codes (mapping file) + ch.txt - General information + ch.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 ch.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 CHU00X00XXXX3E100 + +2. category_code 3 00X + +3. datatype_code 1 3 + +4. case_code 1 E + +5. age_code 6 000000 + +6. los_code 6 000000 + +7. race_code 6 000000 + +8. gender_code 6 000000 + +9. pob_code 6 0XXXXX + +10. event_code 6 00XXXX + +11. source_code 6 0XXXXX + +12. occupation_code 6 000000 + +13. nature_code 6 0XXXXX + +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 2002 + +23. begin_period 3 A01 + +24. end_year 4 2003 + +25. end_period 3 A01 + +The series_id (CHU00X00XXXX3E100) can be broken out into: + +Code = Value + +survey abbreviation = CH +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 ch.data file is partitioned into two separate files: + + 1. ch.data.0.Current = All current year-to-date data + 2. ch.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 CHU00X00XXXX3E100 + +2. year 4 2003 + +3. period 3 A01 + +4. value 12 0.6770580361 + +5. footnote_codes 10 It varies + +The series_id (CHU00X00XXXX3E100) can be broken out into: + +Code = Value + +survey abbreviation = CH +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: ch.age + +Field #/Data Element Length Value(Example) + +1. age_code 6 000000 + +2. age_text 100 Text + + +File Name: ch.case + +Field #/Data Element Length Value(Example) + +1. case_code 1 E + +2. case_text 100 Text + + +File Name: ch.category + +Field #/Data Element Length Value(Example) + +1. case_code 1 3 + +2. category_code 3 00X + +3. category_text 100 Text + + +File Name: ch.datatype + +Field #/Data Element Length Value(Example) + +1. datatype_code 1 3 + +2. datatype_text 100 Text + + +File Name: ch.event + +Field #/Data Element Length Value(Example) + +1. event_code 6 00XXXX + +2. event_text 100 Text + + +File Name: ch.footnote + +Field #/Data Element Length Value(Example) + +1. footnote_code 1 P + +2. footnote_text 100 Text + + +File Name: ch.gender + +Field #/Data Element Length Value(Example) + +1. gender_code 6 000000 + +2. gender_text 100 Text + + +File Name: ch.hour + +Field #/Data Element Length Value(Example) + +1. hour_code 6 000000 + +2. hour_text 100 Text + + +File Name: ch.industry + +Field #/Data Element Length Value(Example) + +1. industry_code 6 000000 + +2. industry_text 100 Text + + +File Name: ch.los + +Field #/Data Element Length Value(Example) + +1. los_code 6 000000 + +2. los_text 100 Text + + +File Name: ch.nature + +Field #/Data Element Length Value(Example) + +1. nature_code 6 0XXXXX + +2. nature_text 100 Text + + +File Name: ch.occupation + +Field #/Data Element Length Value(Example) + +1. occupation_code 6 000000 + +2. occupation_text 100 Text + + +File Name: ch.ownership + +Field #/Data Element Length Value(Example) + +1. ownership_code 1 1 + +2. ownership_text 100 Text + + +File Name: ch.pob + +Field #/Data Element Length Value(Example) + +1. pob_code 6 0XXXXX + +2. pob_text 100 Text + + +File Name: ch.race + +Field #/Data Element Length Value(Example) + +1. race_code 6 000000 + +2. race_text 100 Text + + +File Name: ch.source + +Field #/Data Element Length Value(Example) + +1. source_code 6 0XXXXX + +2. source_text 100 Text + + +File Name: ch.special + +Field #/Data Element Length Value(Example) + +1. special_code 6 000000 + +2. special_text 100 Text + + +File Name: ch.state + +Field #/Data Element Length Value(Example) + +1. state_code 2 00 + +2. state_name 100 Text + + +File Name: ch.time + +Field #/Data Element Length Value(Example) + +1. time_code 6 000000 + +2. time_text 100 Text + + +File Name: ch.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 (ch) 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=2002 observation within the + first year for which data + are available for a given + time series. + +begin_year 4 2002 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: 10=Mining, or characteristic for + NB=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 1998 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: Fall from resulted in the reported + roof 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: Burns 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: Dentists 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: Forearm(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 CHU00X00XXXX3E100 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: Insecticides 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..377fcc5fd345a604f600a1ad1fdb095b6a8f457a --- /dev/null +++ b/bls/ci/README.md @@ -0,0 +1,23 @@ +# BLS survey `ci` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/ci/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `ci.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 | +|---|---|---| +| ci.area | 33 | area_code, area_text, display_level, selectable, sort_sequence | +| ci.aspect | 411356 | series_id, year, period, aspect_type, value, footnote_codes | +| ci.contacts | 14 | Employment Cost Index Contacts | +| ci.data.1.AllData | 205678 | series_id, year, period, value, footnote_codes | +| ci.estimate | 4 | estimate_code, estimate_text, display_level, selectable, sort_sequence | +| ci.footnote | 23 | footnote_code, footnote_text | +| ci.industry | 36 | industry_code, industry_text, display_level, selectable, sort_sequence | +| ci.occupation | 21 | occupation_code, occupation_text, display_level, selectable, sort_sequence | +| ci.owner | 3 | owner_code, owner_text, display_level, selectable, sort_sequence | +| ci.periodicity | 12 | periodicity_code, periodicity_text, display_level, selectable, sort_sequence | +| ci.seasonal | 2 | seasonal_code, seasonal_text | +| ci.series | 2470 | series_id, seasonal, owner_code, industry_code, occupation_code, subcell_code, area_code, periodicity_code, estimate_code, series_title, footnote_codes, begin_year, begin_period, end_year, end_period | +| ci.subcell | 15 | subcell_code, subcell_text, display_level, selectable, sort_sequence | diff --git a/bls/ci/ci.txt b/bls/ci/ci.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc90d0d9ac8d16d3c456a7d90bb87d11479e8fc4 --- /dev/null +++ b/bls/ci/ci.txt @@ -0,0 +1,430 @@ +Employment Cost Index (CI) + ci.txt + +Section Listing + +1. Survey definition +2. Download files listed in the survey directory +3. Time series, series file, data file, and 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 definition + +=============================================================================== +Section 1: Survey Definition +=============================================================================== + +The following is a definition of: Employment Cost Index (CI) + +Survey description: The Employment Cost Index (ECI) measures the change in the +cost of labor, free from the influence of employment shifts among occupations +and industries. The total compensation series includes changes in wages and +salaries and in employer costs for employee benefits. + +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 for the +civilian economy. + +Sample: The sample responding information is available in the latest ECI news +release technical note available at www.bls.gov/news.release/eci.nr0.htm. The +sample establishments are classified in industry categories based on the North +American Industrial Classification System (NAICS). Within an establishment, +specific job categories are selected to represent broader occupational +definitions. Jobs are classified according to the Standard Occupational +Classification (SOC) system. + +Summary data available: For private industry workers, data are available for +total compensation costs, for wages and salaries alone, and for total benefits +alone. Compensation and wage and salary change estimates are available by +major occupational and industry groups, as well as by census regions and +divisions, 15 largest metropolitan areas (by employment), time-based workers, +and bargaining status. + +For civilian as well as state and local government workers cost changes +are available for major occupational and industry series. + +Indexes and 3-month and 12-month percent changes are available for most +non-seasonally adjusted series. Seasonally adjusted series have indexes and +3-month percent changes available. + +Frequency of observations: Data are released for the reference months of +March, June, September, and December. + +Base periods: All current indexes have a base period of December 2005 = 100. + +Data characteristics: All percent changes are rounded to the nearest tenth. + +Updating schedule: Updates are available about four weeks following the end +of the reference month. Publication dates are available at +www.bls.gov/schedule/news_release/eci.htm. + +Detailed information on survey concepts, coverage, and methods can be found in +the BLS Handbook of Methods, www.bls.gov/opub/hom/eci/. + +=============================================================================== +Section 2: Download files listed in the survey directory +=============================================================================== + +The following Employment Cost Index files are on the BLS internet site at +https://download.bls.gov/pub/time.series/ci/: + + File Name Contents File Type + ci.series - all series and their series file + beginning and end dates + ci.data.0.Current - all most recent reference + period data data file + ci.data.1.AllData - all estimates data file + ci.aspect - all available standard + errors and relative + importance estimates data file + ci.area - geographic codes mapping file + ci.estimate - compensation type codes mapping file + ci.footnote - footnote codes mapping file + ci.industry - industry codes mapping file + ci.occupation - occupation codes mapping file + ci.owner - ownership (sector) codes mapping file + ci.periodicity - periodicity codes mapping file + ci.seasonal - seasonal codes mapping file + ci.subcell - subcell category codes mapping file + ci.contacts - contacts for CI survey N/A + ci.txt - general information for + CI survey N/A +=============================================================================== +Section 3: Series file, data files, and mapping files definitions and +relationships +=============================================================================== + +The interrelationship among series, data, and mapping files is detailed below: + +The series file contains a unique series identification code that identifies a +single time series and columns of codes that define the 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 download 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) data files +c) mapping files + +The mapping files are definition files that contain explanatory text +descriptions that correspond to each of the various codes used to define each +series identification code. + +=============================================================================== +Section 4: Series file format and field definitions +=============================================================================== + +File structure and format: The following represents the file format used to +define the ci.series file. Note that the Field Numbers are for reference only; +they do not exist in the database. 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 CIS1010000000000I + +2. seasonal 1 S + +3. owner_code 1 1 + +4. industry_code 6 000000 + +5. occupation_code 6 000000 + +6. subcell_code 3 00 + +7. area_code 5 99999 + +8. periodicity_code 1 I + +9. estimate_code 2 01 + +10. series_title 250 (descriptive label text) + +11. footnote_codes 10 v,7 + +12. begin_year 4 2008 + +13. begin_period 3 Q01 + +14. end_year 4 2018 + +15. end_period 3 Q01 + + +The series_id (CIS1010000000000I) can be broken out into: + +Code Value +survey abbreviation = CI +seasonal (code) = S +owner_code = 1 +estimate_code = 01 +industry_code = 0000 +occupation_code = 000 +subcell_code = 00 +periodicity_code = I + +=============================================================================== +Section 5: Data file formats and field definitions +=============================================================================== + +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 ci.data file is partitioned into two separate files: + + 1. ci.data.0.Current - All recent reference period estimates + 2. ci.data.1.AllData - All estimates + 3. ci.aspect - All available standard errors + +File Name: ci.data.0.Current +Field #/Data Element Length Value(Example) + +1. series_id 17 CIU1010000110000Q + +2. year 4 2018 + +3. period 3 Q01 + +4. value 12 1.1 + +5. footnote_codes 10 + +File Name: ci.data.1.AllData +Field #/Data Element Length Value (Example) + +1. series_id 17 CIU1010000210000A + +2. year 4 2018 + +3. period 3 Q01 + +4. value 12 2.9 + +5. footnote_codes 10 + + +File Name: ci.aspect +Field #/Data Element Length Value (Example) + +1. series_id 17 CIU1010000430000A + +2. year 4 2018 + +3. period 3 Q01 + +4. aspect_type 2 E + +5. value 12 0.2 + +6. footnote_codes 10 + +=============================================================================== +Section 6: Mapping file formats and field definitions +=============================================================================== + +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: ci.area +Field #/Data Element Length Value(Example) +1. area_code 5 99999 +2. area_text 100 National +3. display_level 2 0 +4. selectable 1 T +5. sort_sequence 5 1 + + +File Name: ci.estimate +Field #/Data Element Length Value(Example) +1. subcell_code 2 03 +2. subcell_text 100 Total Benefits +3. display_level 2 1 +4. selectable 1 T +5. sort_sequence 5 3 + +File Name: ci.footnote +Field #/Data Element Length Value(Example) +1. footnote_code 3 a +2. footnote_text 200 Dashes indicate data not + available. + + +File Name: ci.industry +Field #/Data Element Length Value(Example) +1. industry_code 6 622000 +2. industry_text 100 Hospitals +3. display_level 2 4 +4. selectable 1 T +5. sort_sequence 5 1625 + +File Name: ci.occupation +Field #/Data Element Length Value(Example) +1. occupation_code 6 414300 +2. occupation_text 100 Sales and office occupations +3. display_level 2 1 +4. selectable 1 T +5. sort_sequence 5 760 + +File Name: ci.owner +Field #/Data Element Length Value(Example) +1. owner_code 1 2 +2. owner_text 100 Private industry workers +3. display_level 2 0 +4. selectable 1 T +5. sort_sequence 5 2 + +File Name: ci.periodicity +Field #/Data Element Length Value(Example) +1. periodicity_code 1 I +2. periodicity_text 30 Index number +3. display_level 2 0 +4. selectable 1 T +5. sort_sequence 5 1 + +File Name: ci.seasonal +Field #/Data Element Length Value(Example) +1. seasonal_code 1 S +2. seasonal_text 30 Seasonally adjusted + +File Name: ci.subcell +Field #/Data Element Length Value(Example) +1. subcell_code 3 23 +2. subcell_text 100 Union +3. display_level 2 2 +4. selectable 1 T +5. sort_sequence 5 28 + + +=============================================================================== +Section 7: Data element dictionary +=============================================================================== +Employment Cost Index (ECI) database elements + +Data Element Length Value(Example) Description + +area_code 5 99999 Identifies the geographic + area for the estimate + +area_text 100 United States Description of area + (National) code + +aspect_type 2 E Identifies the type of + additional data provided + for the series id + (Example: E represents + standard error) + +begin_period 3 Q01 Identifies first data + observation within the + first reference quarter + for which data is available + for a given series + +begin_year 4 2004 Identifies first year for + which data is available + for a given series + + +end_period 3 Q02 Identifies last data + observation within the + last reference quarter for + which data is available for + a given series + +end_year 4 2018 Identifies last year for + which data is available + for a given series + +estimate_code 2 01 Identifies the type and + unit of measure for the + estimate + +estimate_text 100 Total + compensation Description of the estimate + code + +footnote_code 10 A Identifies footnotes for + the series or observations + + +footnote_text 200 Data not + available Description of the footnote + code + +industry_code 6 000000 Identifies the industry + sector for the estimate, as + classified by the North + American Industry Classification + System (NAICS) + +industry_text 100 All industries Description of industry code + +occupation_code 6 291111 Identifies the occupational + group, or family of jobs, + for the estimate as classified + by the Standard Occupational + Classification (SOC) system. Numbering + conventions may differ from SOC. + +occupation_text 100 Registered nurses Description of occupation code + +ownership_code 1 1 Identifies the sector represented + by the estimate + +ownership_text 100 Civilian workers Description of the ownership code + + +period 3 Q01 Identifies period for the data + observation + +periodicity_code 1 I Abbreviation of the period description + +periodicity_text 30 Index number Period description + + +seasonal 1 U Seasonality indicator code + +seasonal_text 30 Not seasonally Description of the seasonal code + adjusted + +series_id 17 CIU1010000210000A Unique code identifying the + specific series + +series_title 256 All civilian total Description of the series id + compensation for + all occupations; + cost per hour + worked + +subcell_code 2 23 Job characteristic code + identifying the attributes of + workers or establishments for + the estimate + +subcell_text 100 Union workers Description of job + characteristic code + +value 12 3.3 Value of the estimate or relative + standard error corresponding + with the series id + +year 4 2018 Identifies year of observation + \ No newline at end of file diff --git a/bls/ci/ci_area.parquet b/bls/ci/ci_area.parquet new file mode 100644 index 0000000000000000000000000000000000000000..fee0051f9c4814767ef58b60eb9d14b3bd084cd3 --- /dev/null +++ b/bls/ci/ci_area.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f479ccf0b462a7501bbadf1ba9fa3000e183e4aca0b856f67218008e9b15734a +size 4343 diff --git a/bls/ci/ci_aspect.parquet b/bls/ci/ci_aspect.parquet new file mode 100644 index 0000000000000000000000000000000000000000..d7990ea17f9466b65edfaad5a0aa317b2e918cf3 --- /dev/null +++ b/bls/ci/ci_aspect.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0730ae135d9e9fef7f23f882134734cf6b67ed21725e3b178d60158cb8fedf0a +size 120000 diff --git a/bls/ci/ci_contacts.parquet b/bls/ci/ci_contacts.parquet new file mode 100644 index 0000000000000000000000000000000000000000..055859cdfe3b159dc4c9243f2ff8185153ba38cf --- /dev/null +++ b/bls/ci/ci_contacts.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:438a8a36293c81d5cf0b2f84e10140f2066af5e5b86ff0cae1384e2925cd3d1c +size 1986 diff --git a/bls/ci/ci_data_1_AllData.parquet b/bls/ci/ci_data_1_AllData.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f0cc865f13f9139e492f84e5f0281862453fd4af --- /dev/null +++ b/bls/ci/ci_data_1_AllData.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c5cfdf38983cd8017419d9fab9309bc914c5996b27d62fb5b8858c88e2f34843 +size 328701 diff --git a/bls/ci/ci_estimate.parquet b/bls/ci/ci_estimate.parquet new file mode 100644 index 0000000000000000000000000000000000000000..edc1c3617f839d39db64946cbda9ce904a66cd17 --- /dev/null +++ b/bls/ci/ci_estimate.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:92132434e1f06a73065738b3ba779c1a31f941de39b418d5bb80d00b226fc838 +size 3519 diff --git a/bls/ci/ci_footnote.parquet b/bls/ci/ci_footnote.parquet new file mode 100644 index 0000000000000000000000000000000000000000..36a414b812889d54481dc722779368b40d428dd9 --- /dev/null +++ b/bls/ci/ci_footnote.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aaddf12686eb17db37c4e2a4eb34cfcf3e6a1afc77c389329a242d6599ed30b2 +size 2570 diff --git a/bls/ci/ci_industry.parquet b/bls/ci/ci_industry.parquet new file mode 100644 index 0000000000000000000000000000000000000000..ba3541300f6786a18aa36e8b5053add7b0ac8f51 --- /dev/null +++ b/bls/ci/ci_industry.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7d66f605fe4e352c156bb9cc7ba0a0288670bff067fd159330fed4b0d5102a12 +size 4386 diff --git a/bls/ci/ci_occupation.parquet b/bls/ci/ci_occupation.parquet new file mode 100644 index 0000000000000000000000000000000000000000..400eac57ac9297fad9122c5169000f3e303fc2a2 --- /dev/null +++ b/bls/ci/ci_occupation.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7971359f8bee762b2fe34bae5ea8c571756061572e1f081175d21e9bf2ed7dc3 +size 4123 diff --git a/bls/ci/ci_owner.parquet b/bls/ci/ci_owner.parquet new file mode 100644 index 0000000000000000000000000000000000000000..441a4391f34ed60a16ad6c1fc599863f9d883465 --- /dev/null +++ b/bls/ci/ci_owner.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aca1fe3716de9b59f02cee8f3c2246ed6e8853d5d5fa0d7586a5023d7217c424 +size 3468 diff --git a/bls/ci/ci_periodicity.parquet b/bls/ci/ci_periodicity.parquet new file mode 100644 index 0000000000000000000000000000000000000000..90342cdc258c54f7ba35df3757adec5b7f5df828 --- /dev/null +++ b/bls/ci/ci_periodicity.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e4393f5e96cc3a5836c562b2ba6feec2d5e7c0988cb0ce5a97cb38b15781457c +size 3822 diff --git a/bls/ci/ci_seasonal.parquet b/bls/ci/ci_seasonal.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f9a2f1fd0d823051faf42f36765638a3afad1c6f --- /dev/null +++ b/bls/ci/ci_seasonal.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a60b694ad35d825ec374b3fd8125a96c3feac221d8b94eabf894653aa641fbe9 +size 1858 diff --git a/bls/ci/ci_series.parquet b/bls/ci/ci_series.parquet new file mode 100644 index 0000000000000000000000000000000000000000..baaf15ee033dd8c772b37036b1516f4f402076c3 --- /dev/null +++ b/bls/ci/ci_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8fa5e127488cf0d7749795b7818429a6d1141205f5faea562f2c9109f5b17454 +size 37815 diff --git a/bls/ci/ci_subcell.parquet b/bls/ci/ci_subcell.parquet new file mode 100644 index 0000000000000000000000000000000000000000..d3d35c6596a4b0c3be5ab183a2ee96e245c33678 --- /dev/null +++ b/bls/ci/ci_subcell.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dba73e18a16df9f33f87ffb6dfa2e15fec846b90d36bf5ba07e40e088a9c8862 +size 3743 diff --git a/bls/cm/README.md b/bls/cm/README.md new file mode 100644 index 0000000000000000000000000000000000000000..6dd518193b7380f65206f7c60e08132862f7a63a --- /dev/null +++ b/bls/cm/README.md @@ -0,0 +1,23 @@ +# BLS survey `cm` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/cm/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `cm.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 | +|---|---|---| +| cm.area | 33 | area_code, area_text, display_level, selectable, sort_sequence | +| cm.aspect | 634284 | series_id, year, period, aspect_type, value, footnote_codes | +| cm.contacts | 15 | Employer Costs for Employee Compensation Contacts | +| cm.data.1.AllData | 634284 | series_id, year, period, value, footnote_codes | +| cm.datatype | 8 | datatype_code, datatype_text, display_level, selectable, sort_sequence | +| cm.estimate | 28 | estimate_code, estimate_text, display_level, selectable, sort_sequence | +| cm.footnote | 27 | footnote_code, footnote_text | +| cm.industry | 33 | industry_code, industry_text, display_level, selectable, sort_sequence | +| cm.occupation | 19 | occupation_code, occupation_text, display_level, selectable, sort_sequence | +| cm.owner | 3 | owner_code, owner_text, display_level, selectable, sort_sequence | +| cm.seasonal | 2 | seasonal_code, seasonal_text | +| cm.series | 7998 | series_id, seasonal, owner_code, industry_code, occupation_code, subcell_code, area_code, datatype_code, estimate_code, series_title, footnote_codes, begin_year, begin_period, end_year, end_period | +| cm.subcell | 22 | subcell_code, subcell_text, display_level, selectable, sort_sequence | diff --git a/bls/cm/cm.txt b/bls/cm/cm.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9077490bebde2d2b540ef362c6b12de95aca5e4 --- /dev/null +++ b/bls/cm/cm.txt @@ -0,0 +1,478 @@ +Employer Costs for Employee Compensation(CM) +cm.txt + +Section Listing + +1. Survey definition +2. Download files listed in the survey directory +3. Time series, series file, data file, and 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 definition + + +======================================================================================= +Section 1: Survey Definition +======================================================================================= + +The following is a definition of: Employer Costs for Employee Compensation (CM) + +Survey Description: The Employer Costs for Employee Compensation (ECEC) is a measure +of the cost of labor. The compensation series includes wages and salaries plus employer +costs for individual employee benefits. Employee benefit costs are calculated as cost- +per-hour-worked for individual 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 for the civilian economy. + +The data are collected from a probability sample of about 27,200 occupations with 6,600 +sample establishments in private industry and about 8,000 occupations within 1,400 +state and local government establishments. The sample establishments are classified in +industry categories based on the North American Industrial Classification System +(NAICS). Within an establishment, specific job categories are selected to represent +broader occupational definitions. Jobs are classified according to the Standard +Occupational Classification (SOC) system. + +Summary Data Available: For private industry workers, data are +available for total compensation costs, for wages and salaries alone, and +for individual benefit costs alone. Data are available by major occupational +and industry groups, as well as by census region, census division, and bargaining +status. Annual estimates of the 15 largest metropolitan areas are published for the +March reference for total compensation, wages and salaries, as well as total benefits. + +For state and local government and civilian workers data are available for major +occupational and selected industry series. + +Frequency of Observations: Data are available on a quarterly basis. + +Data Characteristics: All costs per hour worked are published to the nearest +cent. All percents are published to one decimal place (including relative standard +errors). + +Updating Schedule: Updates are available about ten weeks following the end +of the reference period. Reference periods are the months of March, June, September, +and December. + +======================================================================================= +Section 2: Download files listed in the survey directory +======================================================================================= + +The following Employer Costs for Employee Compensation files are on the BLS internet +site at https://download.bls.gov/pub/time.series/cm: + + File Name Contents File Type + cm.series - all series and series file + their beginning and + end dates + cm.data.1.AllData - all estimates data file + cm.data.0.Current - All most recent reference data file + period data + cm.aspect - all relative standard errors data file + cm.area - geographic codes mapping file + cm.datatype - datatype codes mapping file + cm.estimate - estimate codes mapping file + cm.footnote - footnote codes mapping file + cm.industry - industry codes mapping file + cm.occupation - occupation codes mapping file + cm.owner - ownership (sector) codes mapping file + cm.seasonal - seasonal codes mapping file + cm.subcell - subcell category codes mapping file + cm.contacts - contacts for cm survey N/A + cm.txt - general information for + CM survey N/A + +======================================================================================= +Section 3: Series file, data files, and mapping files definitions and relationships +======================================================================================= + +The interrelationship among series, data, and mapping files is detailed below: + +The series file contains a unique series identification code that identifies a single +time series and columns of codes that define the 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 download 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) data files +c) mapping files + +The mapping files are definition files that contain explanatory text descriptions +that correspond to each of the various codes used to define each series +identification code. + +======================================================================================= +Section 4: Series file format and field definitions +======================================================================================= + +File Structure and Format: The following represents the file format used to define the +cm.series file. Note that the Field Numbers are for reference only; they do not exist +in the database. Data element 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 CMU1010000100000P + +2. seasonal 1 U + +3. owner_code 1 1 + +4. industry_code 6 000000 + +5. occupation_code 6 000000 + +6. subcell_code 2 00 + +7. area_code 5 99999 + +8. datatype_code 1 P + +9. estimate_code 2 01 + +10. series_title 250 (descriptive label text) + +11. footnote_codes 10 3 + +12. begin_year 4 2008 + +13. begin_period 3 Q01 + +14. end_year 4 2012 + +15. end_period 3 Q04 + + +The series_id (CMU1010000100000P) can be broken out into: + +Code Value(Example) + +survey abbreviation = CM +seasonal (code) = U +owner_code = 1 +industry_code = 0000 +occupation_code = 100 +subcell_code = 00 +datatype_code = P + +================================================================================== +Section 5: Data file formats and field definitions +================================================================================== + +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 cm.data file is partitioned into three separate files: + + 1. cm.data.0.Current - Most recent reference period estimates + 2. cm.data.1.AllData - All estimates + 3. cm.aspect - All relative standard errors + +File Name: cm.data.0.Current +Field #/Data Element Length Value(Example) + +1. series_id 17 CMU203S000000000D + +2. year 4 2018 + +3. period 3 Q01 + +4. value 12 9.83 + +5. footnote_codes 10 E + +File Name: cm.data.1.AllData +Field #/Data Element Length Value(Example) + +1. series_id 17 CMU203S000000000P + +2. year 4 2018 + +3. period 3 Q01 + +4. value 12 29.7 + +5. footnote_codes 10 E + + +File Name: cm.aspect +Field #/Data Element Length Value(Example) + +1. series_id 17 CMU203S000000000D + +2. year 4 2018 + +3. period 3 Q01 + +4. aspect_type 2 R0 + +5. value 12 3.4 + +6. footnote_codes 10 + +======================================================================================= +Section 6: Mapping file formats and field definitions +======================================================================================= + +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. + +NOTE: Mapping files contain three additional fields which are not +referenced below: display_level, selectable, and sort_sequence. +These fields are used for BLS purposes and may be ignored. + +File Name: cm.area + +Field #/Data Element Length Value(Example) + +1. area_code 5 99999 + +2. area_text 100 National + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 1 + +File Name: cm.datatype + +Field #/Data Element Length Value(Example) + +1. subcell_code 1 D + +2. subcell_text 100 Cost per hour worked + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 39 + +File Name: cm.estimate + +Field #/Data Element Length Value(Example) + +1. subcell_code 2 03 + +2. subcell_text 100 Total Benefits + +3. display_level 2 1 + +4. selectable 1 T + +5. sort_sequence 5 3 + +File Name: cm.footnote + +Field #/Data Element Length Value(Example) + +1. footnote_code 3 b + +2. footnote_text 200 Less than .05 percent + +File Name: cm.industry + +Field #/Data Element Length Value(Example) + +1. industry_code 6 622000 + +2. industry_text 100 Hospitals + +3. display_level 2 4 + +4. selectable 1 T + +5. sort_sequence 5 1625 + +File Name: cm.occupation + +Field #/Data Element Length Value(Example) + +1. occupation_code 6 414300 + +2. occupation_text 100 Sales and office occupations + +3. display_level 2 1 + +4. selectable 1 T + +5. sort_sequence 5 760 + +File Name: cm.owner + +Field #/Data Element Length Value(Example) + +1. owner_code 1 2 + +2. owner_text 100 Private industry workers + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 2 + +File Name: cm.period + +Field #/Data Element Length Value(Example) + +1. period 3 Q01 + +2. period_abbr 5 QTRLY + +3. period_name 20 Quarterly + + +File Name: cm.seasonal + +Field #/Data Element Length Value(Example) + +1. seasonal 1 U + +2. seasonal_text 30 Not seasonally adjusted + +File Name: cm.subcell + +Field #/Data Element Length Value(Example) + +1. subcell_code 2 25 + +2. subcell_text 100 Full Time + +3. display_level 2 2 + +4. selectable 1 T + +5. sort_sequence 5 31 + +======================================================================= +Section 7: Data element dictionary +======================================================================= +Employer Costs for Employee Compensation (CM) database elements + +Data Element Length Value(Example) Description + +area_code 5 99999 Identifies the geographic + area for the estimate + +area_text 100 United States Description of area + (National) code + +aspect_type 2 R0 Identifies the type of + additional data provided + for the series id + (Example: R0 represents + relative standard error) + +begin_period 3 Q01 Identifies first data + observation within the + first reference quarter + for which data is available + for a given series + +begin_year 4 2004 Identifies first year for + which data is available + for a given series + +datatype_code 1 D Identifies measurement type + +datatype_text 100 Cost of Description of measurement + compensation code + +end_period 3 Q04 Identifies last data + observation within the + last reference quarter for + which data is available for + a given series + +end_year 4 2018 Identifies last year for + which data is available + for a given series + +estimate_code 2 01 Identifies the type and + unit of measure for the + estimate + +estimate_text 100 Total compensation Description of the estimate + code + +footnote_codes 10 A Identifies footnotes for + the series or observations + + +footnote_text 200 Data not available Description of the footnote + code + +industry_code 6 000000 Identifies the industry + sector for the estimate, as + classified by the North + American Industry Classification + System (NAICS) + +industry_text 100 All industries Description of industry code + +occupation_code 6 291111 Identifies the occupational + group, or family of jobs, + for the estimate as classified + by the Standard Occupational + Classification (SOC) system. Numbering + conventions may differ from SOC. + +occupation_text 100 Registered nurses Description of occupation code + +ownership_code 1 1 Identifies the sector represented + by the estimate + +ownership_text 100 Civilian workers Description of the ownership code + + +period 3 Q01 Identifies period for the data + observation (usually quarterly) + +period_abbr 5 QTRLY Abbreviation of the period name + +period_name 20 Quarterly Description of the period code + +seasonal 1 U Seasonality indicator code + +seasonal_text 30 Not seasonally Description of the seasonal code + adjusted + +series_id 17 CMU1010000000000D Unique code identifying the + specific series + +series_title 256 All Civilian Total Description of the series id + compensation for All + occupations; Cost per + hour worked + +subcell_code 2 23 Job characteristic code + identifying the attributes of + workers or establishments for + the estimate + +subcell_text 100 Union workers Description of job + characteristic code + +value 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0000000000000000000000000000000000000000..23478a16a8f0828c8ebc4a665db4028bb5797f0c --- /dev/null +++ b/bls/cm/cm_subcell.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cc6be3d313aa7d2c85388fd50aeb186789eb250f584ec16ca76c19a2adf1e5b5 +size 3862 diff --git a/bls/compressed/README.md b/bls/compressed/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a81be9ff0a648eeebb6bc8eaff7528262638bf75 --- /dev/null +++ b/bls/compressed/README.md @@ -0,0 +1,9 @@ +# BLS survey `compressed` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/compressed/). 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 | +|---|---|---| +| README_LABOR_FORCE_MODIFIED_SERIES_CODE | -1 | | diff --git a/bls/compressed/README_LABOR_FORCE_MODIFIED_SERIES_CODE b/bls/compressed/README_LABOR_FORCE_MODIFIED_SERIES_CODE new file mode 100644 index 0000000000000000000000000000000000000000..9bd251a205ad581536b5af812a0e985bc79176ce --- /dev/null +++ b/bls/compressed/README_LABOR_FORCE_MODIFIED_SERIES_CODE @@ -0,0 +1,4843 @@ +CROSSWALK BETWEEN OLD LF DATABASE AND NEW LN DATABASE + +On February 7, 2003, the old LF database containing Labor Force Statistics from the Current +Population Survey will be replaced with a new LN database. This change reflects the survey's +conversion to both the 2002 Census industry and occupation classification systems derived +from the 2002 North American Industry Classification System (NAICS) and the 2000 Standard +Occupational Classification system, as well as new standards for federal data on race and +ethnicity. + +This crosswalk file can be used to associate series codes from the discontinued LF database +with codes from the new LN database. The old series codes are in the left column and the +corresponding new series codes are in the right. This file contains codes from all monthly +and quarterly series from the LF database that have exact matches in the new LN database. +Questions about the LF and LN series codes can be directed to the Division of Labor Force +Statistics of the Bureau of Labor Statistics. + +Email address: cpsinfo@bls.gov +Phone: (202) 691-6378 + +Last revised: Feb. 5, 2003 + +Old Lab Id New Lab Id +(LF code) (LN code) +--------------------------------------- +LFS800000000 LNS10000000 +LFS800000010 LNS10000003 +LFS800000800 LNS10000012 +LFS800001701 LNS10000025 +LFS800001702 LNS10000026 +LFS800302800 LNS10027659 +LFS800302800Q LNS10027659Q +LFS800402800 LNS10027660 +LFS800402800Q LNS10027660Q +LFS800602800 LNS10027662 +LFS800602800Q LNS10027662Q +LFS800502800 LNS10027689 +LFS800502800Q LNS10027689Q +LFS40000000 LNS11000000 +LFS40000000Q LNS11000000Q +LFS40000001 LNS11000001 +LFS40000001Q LNS11000001Q +LFS40000002 LNS11000002 +LFS40000002Q LNS11000002Q +LFS40000010 LNS11000003 +LFS40000010Q LNS11000003Q 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LNS12500025Q +LFS1170131702 LNS12500026 +LFS1170131702Q LNS12500026Q +LFS1170140000 LNS12600000 +LFS1170140000Q LNS12600000Q +LFS1170140001 LNS12600001 +LFS1170140001Q LNS12600001Q +LFS1170140002 LNS12600002 +LFS1170140002Q LNS12600002Q +LFS1170140800 LNS12600012 +LFS1170140800Q LNS12600012Q +LFS1170141701 LNS12600025 +LFS1170141701Q LNS12600025Q +LFS1170141702 LNS12600026 +LFS1170141702Q LNS12600026Q +LFS22000000 LNS13000000 +LFS22000000Q LNS13000000Q +LFS22000001 LNS13000001 +LFS22000001Q LNS13000001Q +LFS22000002 LNS13000002 +LFS22000002Q LNS13000002Q +LFS22000010 LNS13000003 +LFS22000011 LNS13000004 +LFS22000012 LNS13000005 +LFS22000030 LNS13000006 +LFS22000030Q LNS13000006Q +LFS22000031 LNS13000007 +LFS22000031Q LNS13000007Q +LFS22000032 LNS13000008 +LFS22000032Q LNS13000008Q +LFS22000050 LNS13000009 +LFS22000800 LNS13000012 +LFS22000800Q LNS13000012Q +LFS22000801 LNS13000013 +LFS22000801Q LNS13000013Q +LFS22000802 LNS13000014 +LFS22000802Q LNS13000014Q +LFS22000810 LNS13000015 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