diff --git a/bls/ep/ep_industry.parquet b/bls/ep/ep_industry.parquet new file mode 100644 index 0000000000000000000000000000000000000000..6d86763b9ed15aaeceaa80d5cd72788290b0ef20 --- /dev/null +++ b/bls/ep/ep_industry.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:98c891811dcee5ab7eb6694b5aacbddd904a1085800691bffc15f3f3fa16e88a +size 12366 diff --git a/bls/ep/ep_laytitle.parquet b/bls/ep/ep_laytitle.parquet new file mode 100644 index 0000000000000000000000000000000000000000..b2ed7b21d9d8b5c8d99d13aa86add2d022d18db1 --- /dev/null +++ b/bls/ep/ep_laytitle.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:61d44ab4e9de1eb69fc3594841fd660d156fae927619e30db4fb40252644f322 +size 72097 diff --git a/bls/ep/ep_occupation.parquet b/bls/ep/ep_occupation.parquet new file mode 100644 index 0000000000000000000000000000000000000000..0fe49c7f4c7a8a4ffe7f09f1d4be581f53971f27 --- /dev/null +++ b/bls/ep/ep_occupation.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f04372a07cd2d2782975853d9fd67e28bc2dac425b3af91c7a07927f67260f46 +size 23881 diff --git a/bls/ep/ep_otjt.parquet b/bls/ep/ep_otjt.parquet new file mode 100644 index 0000000000000000000000000000000000000000..34e63003da4d472338a935a7ce6896e475bf7519 --- /dev/null +++ b/bls/ep/ep_otjt.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d8f9f3bd82bc9ad5f73e8aa8b718d559bbe1e9a22abf7dd4d6e681eff91c3b41 +size 1864 diff --git a/bls/ep/ep_rank.parquet b/bls/ep/ep_rank.parquet new file mode 100644 index 0000000000000000000000000000000000000000..38fc298e3ca7b5332c07ee2484b043ed1a1bcb56 --- /dev/null +++ b/bls/ep/ep_rank.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:57a839de7f3e046c57f97b1f0d3b4f50957890dc9715f67556159976573d5188 +size 1692 diff --git a/bls/ep/ep_seasonal.parquet b/bls/ep/ep_seasonal.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f9a2f1fd0d823051faf42f36765638a3afad1c6f --- /dev/null +++ b/bls/ep/ep_seasonal.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a60b694ad35d825ec374b3fd8125a96c3feac221d8b94eabf894653aa641fbe9 +size 1858 diff --git a/bls/ep/ep_series.parquet b/bls/ep/ep_series.parquet new file mode 100644 index 0000000000000000000000000000000000000000..69e79e2624fe9fd0c885dbd1aecd35ead3c3e8cc --- /dev/null +++ b/bls/ep/ep_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9f3dc1367afbfb71571e77754c15797df160e4b09ab8c5aad9b4f4df626a9cf1 +size 1301267 diff --git a/bls/ep/ep_wkex.parquet b/bls/ep/ep_wkex.parquet new file mode 100644 index 0000000000000000000000000000000000000000..c083808efa1751fe704e2a1784ffdd81238833c0 --- /dev/null +++ b/bls/ep/ep_wkex.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:41e497e2f0d94a61b7e8e942d35d402f1626cc3164c66b60d8fc9ff757b3be01 +size 1767 diff --git a/bls/esbr/README.md b/bls/esbr/README.md new file mode 100644 index 0000000000000000000000000000000000000000..5bc9b3f42771bb1025ed5a1dfe2e3dd86883313f --- /dev/null +++ b/bls/esbr/README.md @@ -0,0 +1,24 @@ +# BLS survey `esbr` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/esbr/). 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 | +|---|---|---| +| bluchart.gif | -1 | | +| cyachart.gif | -1 | | +| esbr012.sf | 32 | ;ID | +| esbr013.sf | 32 | ;ID | +| esbr014.sf | 30 | ;ID | +| esbr015.sf | 32 | ;ID | +| esbr016.sf | 32 | ;ID | +| esbr017.sf | 32 | ;ID | +| esbr018.sf | 32 | ;ID | +| esbr019.sf | 32 | ;ID | +| esbr026.sf | 30 | ;ID | +| esbr027.sf | 30 | ;ID | +| esbrim1.sf | 30 | ;ID | +| esbrim2.sf | 30 | ;ID | +| grechart.gif | -1 | | +| magchart.gif | -1 | | diff --git a/bls/esbr/bluchart.gif b/bls/esbr/bluchart.gif new file mode 100644 index 0000000000000000000000000000000000000000..4a7435b1f25bcec8ce57e1bec3a4f1cb20bbc32c --- /dev/null +++ b/bls/esbr/bluchart.gif @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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--- /dev/null +++ b/bls/esbr/esbr013_sf.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:967ff3a29932bf6e4dd55cb64b1bf59248a6dd3edd5a56f01882af75af225287 +size 1665 diff --git a/bls/esbr/esbr014_sf.parquet b/bls/esbr/esbr014_sf.parquet new file mode 100644 index 0000000000000000000000000000000000000000..0e6bbb30fec912fa30955bfe3d21769e746e8a4f --- /dev/null +++ b/bls/esbr/esbr014_sf.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a0d17d0ef5dbfe7a1c414e34f63e1e5b46b3b61054f2e182c38272dd2278dcc +size 1661 diff --git a/bls/esbr/esbr015_sf.parquet b/bls/esbr/esbr015_sf.parquet new file mode 100644 index 0000000000000000000000000000000000000000..346c0228d6ee23f13a8c3dd0104236e2448c428f --- /dev/null +++ b/bls/esbr/esbr015_sf.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be5148b3670379f516f0b934f4b6e5c0a2eccc4f024d2e4dcf69d9a3f7b2f21c +size 1676 diff --git a/bls/esbr/esbr016_sf.parquet b/bls/esbr/esbr016_sf.parquet new file mode 100644 index 0000000000000000000000000000000000000000..184b50354344d8a96a1e1d15d7df14b8f955e538 --- /dev/null +++ b/bls/esbr/esbr016_sf.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aabb9cac8de1b4c4910edef2d5121f7cf400ff82870813e46759b11b12828309 +size 1681 diff --git a/bls/esbr/esbr017_sf.parquet b/bls/esbr/esbr017_sf.parquet new file mode 100644 index 0000000000000000000000000000000000000000..5ce7b601a682bff07a097ac2a82bc032ba13b31b --- /dev/null +++ b/bls/esbr/esbr017_sf.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:28565496d3fa88434fdae9271032940b6c1573dea166da2a301bdb5c3d769b80 +size 1692 diff --git a/bls/esbr/esbr018_sf.parquet b/bls/esbr/esbr018_sf.parquet new file mode 100644 index 0000000000000000000000000000000000000000..6239d2e9ccd525128ce409f4da7062a070236af3 --- /dev/null +++ b/bls/esbr/esbr018_sf.parquet @@ -0,0 +1,3 @@ +version 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0000000000000000000000000000000000000000..116eef236b01431bfc61e219e7726d115372ea14 --- /dev/null +++ b/bls/esbr/esbr027_sf.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:db49d3dd77b984bfc29f714688d73f69f9ee21d599592cbd68f98343247119b9 +size 1662 diff --git a/bls/esbr/esbrim1_sf.parquet b/bls/esbr/esbrim1_sf.parquet new file mode 100644 index 0000000000000000000000000000000000000000..2decc02b592e3771f4eba321d7436203a4d66eaa --- /dev/null +++ b/bls/esbr/esbrim1_sf.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:08e7cc67dca36fb2f6c079e0e52a66e628fe16cf2473c4a22da3faaafa934064 +size 1680 diff --git a/bls/esbr/esbrim2_sf.parquet b/bls/esbr/esbrim2_sf.parquet new file mode 100644 index 0000000000000000000000000000000000000000..9554aa15a2d4513b49f8cae8be42d97ab9e51b8f --- /dev/null +++ b/bls/esbr/esbrim2_sf.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3c6ae8daf25f095ba79429398d7d4923690d4c0216dc37fac59b888933ff8a17 +size 1658 diff --git a/bls/esbr/grechart.gif b/bls/esbr/grechart.gif new file mode 100644 index 0000000000000000000000000000000000000000..e175811fd6372e8a09fff8e753060f5d1e96b928 --- /dev/null +++ b/bls/esbr/grechart.gif @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8aea5bee4c660cd379773f1ab97fb0a096dd8b79347932b293b77f38d9fb0f9e +size 1701 diff --git a/bls/esbr/magchart.gif b/bls/esbr/magchart.gif new file mode 100644 index 0000000000000000000000000000000000000000..9c968d0dfad123c02b72c3561186aca47d33248a --- /dev/null +++ b/bls/esbr/magchart.gif @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b188b334279b0d1857343c82872469e8f255f5060aeccc180e197802f3d98e37 +size 1701 diff --git a/bls/fa/README.md b/bls/fa/README.md new file mode 100644 index 0000000000000000000000000000000000000000..6068aa32464774e8ac9d89e9b2a6a86282cf768e --- /dev/null +++ b/bls/fa/README.md @@ -0,0 +1,23 @@ +# BLS survey `fa` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/fa/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `fa.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 | +|---|---|---| +| fa.area | 56 | area_code, area_text, display_level, selectable, sort_sequence | +| fa.case | 12 | case_code, case_text | +| fa.category | 2874 | case_code, category_code, category_text, display_level, selectable, sort_sequence | +| fa.category2 | 321 | category_code, category_text | +| fa.contacts | 40 | Safety, Health, and Working Conditions Contacts: Injuries, Illnesses, and Fatalities (IIF) Program | +| fa.data.1.AllData | 638654 | series_id, year, period, value, footnote_codes | +| fa.datatype | 1 | datatype_code, datatype_text | +| fa.event | 188 | event_code, event_text, display_level, selectable, sort_sequence | +| fa.footnote | 0 | footnote_code, footnote_text | +| fa.industry | 874 | industry_code, industry_text, display_level, selectable, sort_sequence | +| fa.occupation | 605 | occupation_code, occupation_text, display_level, selectable, sort_sequence | +| fa.series | 492217 | series_id, seasonal, category_code, datatype_code, case_code, industry_code, event_code, source_code, occupation_code, area_code, footnote_codes, begin_year, begin_period, end_year, end_period | +| fa.source | 550 | source_code, source_text, display_level, selectable, sort_sequence | diff --git a/bls/fa/fa.txt b/bls/fa/fa.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4e30c07900d2bc97dc5454d99c0b9e60eee6cf7 --- /dev/null +++ b/bls/fa/fa.txt @@ -0,0 +1,470 @@ +CENSUS OF FATAL OCCUPATIONAL INJURIES (FA) + fa.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 (FA) + +Survey Description: + +The Bureau of Labor Statistics (BLS) Census of Fatal Occupational Injuries (CFOI) produces +comprehensive, accurate, and timely counts of fatal work injuries. CFOI is a Federal-State +cooperative program that has been active in all 50 States and the District of Columbia since 1992. +To compile counts that are as complete as possible, CFOI uses multiple sources to identify, +verify, and profile fatal worker injuries. Information about each workplace fatal injury is +obtained by cross referencing the source records, such as death certificates, workers' +compensation reports, and Federal and State agency administrative reports. To ensure that fatal +injuries are work-related, cases are substantiated with two or more independent source documents, +or a source document and a follow-up questionnaire. + +CFOI publishes detailed data on case characteristics such as the event or exposure leading to the +fatal injury, the source of the fatal injury, and worker activity at the time of the incident. +Event or exposure, source, and other case characteristic codes are currently based on the BLS +Occupational Injury and Illness Classification System (OIICS) 3, which can be viewed at our Web +site at https://www.bls.gov/iif/definitions/occupational-injuries-and-illnesses-classification-manual.htm. + +BLS also tabulates the number of fatal occupational injuries by demographic attributes such as +age, sex, race, ethnic origin, and occupation. Occupation classifications are currently based +on the 2018 Standard Occupational Classification [SOC] system. These tabulations are also +available by major industry sectors or by detailed industry. Industry classifications are currently +based on the 2022 North American Industrial Classification System [NAICS]. + +Frequency of observations: All data are annual. + +Data characteristics: All figures are actual numbers of fatal injuries. + +Updating schedule: Updates to the data become available approximately 12 months following the close +of the reference year. + + +================================================================================ +Section 2 +================================================================================ + +The following CENSUS OF FATAL OCCUPATIONAL INJURIES files are on the BLS internet in the +sub-directory pub/time.series/fa: + + fa.area - Area codes mapping file + fa.case - Case codes mapping file + fa.category - Category codes mapping file + fa.category2 - Category codes mapping file + fa.contacts - Contacts for CFOI + fa.data.0.Current - All current year-to-date data + fa.data.1.AllData - All data + fa.datatype - Data type codes mapping file + fa.event - Event codes mapping file + fa.footnote - Footnote codes mapping file + fa.industry - Industry codes mapping file + fa.occupation - Occupation codes mapping file + fa.series - All series with beginning and end dates + fa.source - Source codes mapping file + fa.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 fa.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 FAU00X00000080N00 + +2. category_code* 3 00X + +3. datatype_code* 1 8 + +4. case_code* 1 0 + +5. industry_code* 6 000000 + +6. event_code* 6 0000XX + +7. source_code* 6 0000XX + +8. occupation_code* 6 000000 + +9. area_code* 3 N00 + +10. begin_year 4 2023 + +11. begin_period 3 A01 + +12. end_year 4 2023 + +13. end_period 3 A01 + + +*Note fields/data elements denoted with an * indicate parts of the series id that +are also broken out separately in the fa.series file. A more detailed breakdown of the +series id is described below. + + +The series_id (FAU00X00000080N00) can be broken out into: + +Code Value + +survey abbreviation = FA +seasonal(code) = U +category_code = 00X + +Detailed category codes (choose one) +industry_code* = 000000 +event_code* = 0000XX +source_code* = 0000XX +occupation_code* = 000000 + +datatype_code = 8 +case_code = 0 +area_code = N00 + + +*Please note that there are four possible detailed category codes (industry, event, source, +and occupation) that make up the 6 character length in the 7-12 positions of the series_id. +Any of the four can be selected, but only one at any given time. + + +================================================================================ +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 fa.data file is partitioned into two separate files: + + 1. fa.data.0.Current - All current year-to-date data + 2. fa.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 FAU00X00000080N00 + +2. year 4 2023 + +3. period 3 A01 + +4. value 12 4609 + +5. footnote_codes 10 It varies + + +The series_id (FAU00X00000080N00) can be broken out into: + +Code Value + +survey abbreviation = FA +seasonal(code) = U +category_code = 00X + +Detailed category codes (choose one) +industry_code* = 000000 +event_code* = 0000XX +source_code* = 0000XX +occupation_code* = 000000 + +datatype_code = 8 +case_code = 0 +area_code = N00 + +*Please note that there are four possible detailed category codes (industry, event, source, +and occupation) that make up the 6 character length in the 7-12 positions of the series_id. +Any of the four can be selected, but only one at any given time. + + +================================================================================ +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: fa.area + +Field #/Data Element Length Value(Example) + +1. area_code 3 N00 + +2. area_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + + +File Name: fa.case + +Field #/Data Element Length Value(Example) + +1. case_code 1 9 + +2. case_text 100 Text + + +File Name: fa.category + +Field #/Data Element Length Value(Example) + +1. case_code 1 9 + +2. category_code 3 00X + +3. category_text 100 Text + +4. display_level 2 0 + +5. selectable 1 T + +6. sort_sequence 5 00001 + + +File Name: fa.category2 + +Field #/Data Element Length Value(Example) + +1. category_code 3 00X + +2. category_text 100 Text + + +File Name: fa.datatype + +Field #/Data Element Length Value(Example) + +1. datatype_code 1 8 + +2. datatype_text 100 Text + + +File Name: fa.event + +Field #/Data Element Length Value(Example) + +1. event_code 6 0000XX + +2. event_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + + +File Name: fa.industry + +Field #/Data Element Length Value(Example) + +1. industry_code 6 000000 + +2. industry_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + + +File Name: fa.occupation + +Field #/Data Element Length Value(Example) + +1. occupation_code 6 000000 + +2. occupation_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + + +File Name: fa.source + +Field #/Data Element Length Value(Example) + +1. source_code 6 0000XX + +2. source_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + + +File Name: fa.footnote + +Field #/Data Element Length Value(Example) + +1. footnote_code 1 P + +2. footnote_text 100 Text + + +================================================================================ +Section 7 +================================================================================ +CENSUS OF FATAL OCCUPATIONAL INJURIES (FA) DATABASE ELEMENTS + + +Data Element Length Value(Example) Description + + +area_code 3 N00 Unique code used to identify + a specific geographic region. + +area_text 100 Text Describes the specific + geographic region. + +begin_year 4 2023 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 00X 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 2023 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 6 0000XX 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 P Identifies footnote for + the data series. + +footnote_codes 10 It varies Identifies footnotes for + the data series. + +footnote_text 100 Text Contains the text of the + footnote. + +industry_code 6 000000 The code identifies the + industry for which data are + observed. + +industry_text 100 Text Describes the industry for + which data are observed. + +occupation_code 6 000000 The code identifies the + occupation of the person + experiencing the injury. + +occupation_text 100 Text Describes the occupation of + the person experiencing the + injury. + +series_id 17 FAU00X80000000N00 Code identifying the + specific series. + +source_code 6 0000XX The code identifies the + source of injury. + +source_text 100 Text Describes the + source of injury. + +value 12 Variable Data value for series. + +year 4 2023 Identifies year of + observation. diff --git a/bls/fa/fa_area.parquet b/bls/fa/fa_area.parquet new file mode 100644 index 0000000000000000000000000000000000000000..43238f2d7aedb168b7d03d6e02edad84f4ae05c3 --- /dev/null +++ b/bls/fa/fa_area.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ebdd5596b9ff64d2dec18d1eca117016db8cb6de59c764082355a46d8ebf15b8 +size 4136 diff --git a/bls/fa/fa_case.parquet b/bls/fa/fa_case.parquet new file mode 100644 index 0000000000000000000000000000000000000000..460ac4672710135f0b53ce94337b73e951919228 --- /dev/null +++ b/bls/fa/fa_case.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:20892a17ce018b1c90f09d32f869cb6166ae65f166bab60b3f798378f32574c6 +size 2045 diff --git a/bls/fa/fa_category.parquet b/bls/fa/fa_category.parquet new file mode 100644 index 0000000000000000000000000000000000000000..b9b13410d1ebb179d527a9df6cb51a473d8af834 --- /dev/null +++ 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b/bls/fa/fa_data_1_AllData.parquet new file mode 100644 index 0000000000000000000000000000000000000000..37178c01beba77fd98ac2d7e51f2e6744a0ba633 --- /dev/null +++ b/bls/fa/fa_data_1_AllData.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0ddb897a7b7b2aa9714aee10a5302eb52af547de3445d89a9056f69cdd8afb92 +size 2032161 diff --git a/bls/fa/fa_datatype.parquet b/bls/fa/fa_datatype.parquet new file mode 100644 index 0000000000000000000000000000000000000000..2cc9e174cb7ca1f0396161259d9b78e66627b0d2 --- /dev/null +++ b/bls/fa/fa_datatype.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:32bfb638b71647a58e9e5210b0fe856f5869bd9d27fb931cd5ed99faf41430c9 +size 1846 diff --git a/bls/fa/fa_event.parquet b/bls/fa/fa_event.parquet new file mode 100644 index 0000000000000000000000000000000000000000..76791236d3d40d4c72476b254f511f59829b831d --- /dev/null +++ b/bls/fa/fa_event.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b04ae200eecaabe748656d336fcd4dcfd03212a00a2e2214b6888f7e00321c05 +size 7582 diff --git a/bls/fa/fa_footnote.parquet b/bls/fa/fa_footnote.parquet new file mode 100644 index 0000000000000000000000000000000000000000..bd1b61dec4a13ebac5017c0caf9eef285f51700c --- /dev/null +++ b/bls/fa/fa_footnote.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cd0ca8fa879ccf87ffd3db7d05295285ee1153a6e1f1487c3ffd7f56645ae994 +size 1570 diff --git a/bls/fa/fa_industry.parquet b/bls/fa/fa_industry.parquet new file mode 100644 index 0000000000000000000000000000000000000000..015bb3d3e8ca63760f2ec40b0588343c97eecd89 --- /dev/null +++ b/bls/fa/fa_industry.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c3821b9cb8dff79c25296b6e9af49963e4c5abc6fe49ff1ef6ba6c62aaa7706d +size 20074 diff --git a/bls/fa/fa_occupation.parquet b/bls/fa/fa_occupation.parquet new file mode 100644 index 0000000000000000000000000000000000000000..d27e4eec75b04b60d9d2318467e57a8ed46ba324 --- /dev/null +++ b/bls/fa/fa_occupation.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cfdcf748263a0448bcaea0a718e3e80b7fcddfdff9d71e8063a31ca756a812be +size 14544 diff --git a/bls/fa/fa_series.parquet b/bls/fa/fa_series.parquet new file mode 100644 index 0000000000000000000000000000000000000000..048929469a71521ebf5f24493baeb99f0af4e516 --- /dev/null +++ b/bls/fa/fa_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9b14453bba49a63d4e02bf9222b5b8b51fcd185e531d511bd38d460f5fbefd28 +size 1999450 diff --git a/bls/fa/fa_source.parquet b/bls/fa/fa_source.parquet new file mode 100644 index 0000000000000000000000000000000000000000..8a73236cbc6561e9bf616e50e2fb7d7bf7db207b --- /dev/null +++ b/bls/fa/fa_source.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fdf7d5fe7bac9867565a0585d51b0fa1a0524fafee6a642c9f0d164222ad104b +size 15247 diff --git a/bls/fi/README.md b/bls/fi/README.md new file mode 100644 index 0000000000000000000000000000000000000000..3b30d0d154bd2e85dce3fb8b926665361adee0a2 --- /dev/null +++ b/bls/fi/README.md @@ -0,0 +1,23 @@ +# BLS survey `fi` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/fi/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `fi.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 | +|---|---|---| +| fi.area | 67 | area_code, area_text, display_level, selectable, sort_sequence | +| fi.case | 12 | case_code, case_text | +| fi.category | 1837 | case_code, category_code, category_text | +| fi.category2 | 199 | category_code, category_text | +| fi.contacts | 55 | Safety, Health, and Working Conditions Contacts | +| fi.data.1.AllData | 3519622 | series_id, year, period, value, footnote_codes | +| fi.datatype | 1 | datatype_code, datatype_text | +| fi.event | 192 | event_code, event_text, display_level, selectable, sort_sequence | +| fi.footnote | 0 | footnote_code, footnote_text | +| fi.industry | 1151 | industry_code, industry_text, display_level, selectable, sort_sequence | +| fi.occupation | 764 | occupation_code, occupation_text, display_level, selectable, sort_sequence | +| fi.series | 987665 | series_id, category_code, datatype_code, case_code, industry_code, event_code, source_code, occupation_code, area_code, footnote_codes, begin_year, begin_period, end_year, end_period | +| fi.source | 603 | source_code, source_text, display_level, selectable, sort_sequence | diff --git a/bls/fi/fi.txt b/bls/fi/fi.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f02090223d72953dbe096aab115319a76f3a697 --- /dev/null +++ b/bls/fi/fi.txt @@ -0,0 +1,454 @@ +CENSUS OF FATAL OCCUPATIONAL INJURIES (FI) + fi.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 (FI) + +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/iif/. 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 2000 Standard Occupational Classification System.) +These tabulations may be summarized by major industry sectors or by detailed +industry (based on the 2002 North American Industrial Classification System.) 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 files is on the BLS internet +in the sub-directory pub/time.series/fi: + + fi.area - Area codes mapping file + fi.case - Case codes mapping file + fi.category - Category codes mapping file + fi.category2 - Category codes mapping file + fi.contacts - Contacts for CFOI + fi.data.0.Current - All current year-to-date data + fi.data.1.AllData - All data + fi.datatype - Datatype codes mapping file + fi.event - Event codes mapping file + fi.footnote - Footnote codes mapping file + fi.industry - Industry codes mapping file + fi.occupation - Occupation codes mapping file + fi.series - All series with beginning and end dates + fi.source - Source codes mapping file + fi.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 fi.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 FIU00X80000000N00 + +2. category_code 3 00X + +3. datatype_code 1 8 + +4. case_code 1 0 + +5. industry_code 6 000000 + +6. event_code 6 0000XX + +7. source_code 6 0000XX + +8. occupation_code 6 000000 + +9. area_code 3 N00 + +9. begin_year 4 1992 + +9. begin_period 3 A01 + +9. end_year 4 2000 + +10. end_period 3 A01 + + +The series_id (FIU00X80000000N00) can be broken out into: + +Code Value + +survey abbreviation = FI +seasonal(code) = U +category_code = 00X +datatype_code = 8 +case_code = 0 +industry_code = 000000 +event_code = 0000XX +source_code = 0000XX +occupation_code = 000000 +area_code = N00 + + + +================================================================================ +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 fi.data file is partitioned into two separate files: + + 1. fi.data.0.Current - All current year-to-date data + 2. fi.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 FIU00X80000000N00 + +2. year 4 1996 + +3. period 3 A01 + +4. value 12 6202 + +5. footnote_codes 10 It varies + + +The series_id (FIU00X80000000N00) can be broken out into: + +Code Value + +survey abbreviation = FI +seasonal(code) = U +category_code = 00X +datatype_code = 8 +case_code = 0 +industry_code = 000000 +event_code = 0000XX +source_code = 0000XX +occupation_code = 000000 +area_code = N00 + +================================================================================ +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: fi.area + +Field #/Data Element Length Value(Example) + +1. area_code 3 N00 + +2. area_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + + +File Name: fi.case + +Field #/Data Element Length Value(Example) + +1. case_code 1 9 + +2. case_text 100 Text + + +File Name: fi.category + +Field #/Data Element Length Value(Example) + +1. case_code 1 9 + +2. category_code 3 00X + +3. category_text 100 Text + + +File Name: fi.category2 + +Field #/Data Element Length Value(Example) + +1. category_code 3 00X + +2. category_text 100 Text + + +File Name: fi.datatype + +Field #/Data Element Length Value(Example) + +1. datatype_code 1 8 + +2. datatype_text 100 Text + + +File Name: fi.event + +Field #/Data Element Length Value(Example) + +1. event_code 6 0000XX + +2. event_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + + +File Name: fi.footnote + +Field #/Data Element Length Value(Example) + +1. footnote_code 1 P + +2. footnote_text 100 Text + + +File Name: fi.industry + +Field #/Data Element Length Value(Example) + +1. industry_code 6 000000 + +2. industry_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + + +File Name: fi.occupation + +Field #/Data Element Length Value(Example) + +1. occupation_code 6 000000 + +2. occupation_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + + +File Name: fi.source + +Field #/Data Element Length Value(Example) + +1. source_code 6 0000XX + +2. source_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + +================================================================================ +Section 7 +================================================================================ +CENSUS OF FATAL OCCUPATIONAL INJURIES (CF) DATABASE ELEMENTS + + +Data Element Length Value(Example) Description + + +area_code 3 N00 Unique code used to identify + a specific geographic region. + +area_text 100 Text Describes the specific + geographic region. + +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 00X 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 6 0000XX 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 P Identifies footnote for + the data series. + +footnote_codes 10 It varies Identifies footnotes for + the data series. + +footnote_text 100 Text Contains the text of the + footnote. + +industry_code 6 000000 The code identifies the + industry for which data are + observed. + +industry_text 100 Text Describes the industry for + which data are observed. + +occupation_code 6 000000 The code identifies the + occupation of the person + experiencing the injury. + +occupation_text 100 Text Describes the occupation of + the person experiencing the + injury. + +series_id 17 FIU00X80000000N00 Code identifying the + specific series. + +source_code 6 0000XX The code identifies the + source of injury. + +source_text 100 Text Describes the + source of injury. + +value 12 Variable Data value for series. + +year 4 1990 Identifies year of + 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sha256:46b3fdac8c2cba319267ebf4f4bc9884700d8b18105b44405705315f65a7b52b +size 12625 diff --git a/bls/fm/README.md b/bls/fm/README.md new file mode 100644 index 0000000000000000000000000000000000000000..3dba223440be1598532f3e505804d03e19917f1d --- /dev/null +++ b/bls/fm/README.md @@ -0,0 +1,39 @@ +# BLS survey `fm` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/fm/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `fm.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 | +|---|---|---| +| fm.chld | 15 | chld_code, chld_text | +| fm.contacts | 6 | Current Population Survey (CPS) Contacts | +| fm.data.1.AllData | 38450 | series_id, year, period, value, footnote_codes | +| fm.fchld | 4 | fchld_code, fchld_text | +| fm.fdat | 3 | fdat_code, fdat_text | +| fm.fhlf | 7 | fhlf_code, fhlf_text | +| fm.fnmatwk | 8 | fnmatwk_code, fnmatwk_text | +| fm.fnme | 8 | fnme_code, fnme_text | +| fm.fnmlf | 8 | fnmlf_code, fnmlf_text | +| fm.fnmu | 2 | fnmu_code, fnmu_text | +| fm.fnmws | 4 | fnmws_code, fnmws_text | +| fm.footnote | 2 | footnote_code, footnote_text | +| fm.forig | 2 | forig_code, forig_text | +| fm.frace | 4 | frace_code, frace_text | +| fm.ftpt | 3 | ftpt_code, ftpt_text | +| fm.ftyp | 6 | ftyp_code, ftyp_text | +| fm.hhlf | 7 | hhlf_code, hhlf_text | +| fm.lfst | 11 | lfst_code, lfst_text | +| fm.mari | 3 | mari_code, mari_text | +| fm.misclf | 2 | misclf_code, misclf_text | +| fm.mwlf | 7 | mwlf_code, mwlf_text | +| fm.orig | 2 | orig_code, orig_text | +| fm.prlf | 5 | prlf_code, prlf_text | +| fm.race | 4 | race_code, race_text | +| fm.seasonal | 2 | seasonal_code, seasonal_text | +| fm.series | 3144 | series_id, seasonal, series_title, fchld_code, fdat_code, fhlf_code, fnmatwk_code, fnme_code, fnmlf_code, fnmu_code, fnmws_code, forig_code, frace_code, ftpt_code, ftyp_code, hhlf_code, misclf_code, mwlf_code, prlf_code, chld_code, lfst_code, mari_code, orig_code, race_code, sexs_code, tdat_code, wkst_code, footnote_codes, begin_year, begin_period, end_year, end_period | +| fm.sexs | 3 | sexs_code, sexs_text | +| fm.tdat | 2 | tdat_code, tdat_text | +| fm.wkst | 3 | wkst_code, wkst_text | diff --git a/bls/fm/fm.txt b/bls/fm/fm.txt new file mode 100644 index 0000000000000000000000000000000000000000..cdd76de4ef94610337b53edb722b7a1f85fd9ed2 --- /dev/null +++ b/bls/fm/fm.txt @@ -0,0 +1,151 @@ +Marital and family labor force statistics from the Current Population Survey (FM) + fm.txt + + +Section Listing + +1. Survey Description +2. Key Concepts and Definitions +3. Data Available + + + +================================================================================ +Section 1--Survey Description +================================================================================ + +The Current Population Survey (CPS), frequently referred to as the household survey, is a monthly survey of about 60,000 eligible households. +The CPS provides information about the civilian noninstitutional population age 16 years and over. All persons are classified as employed, +unemployed, or not in the labor force. (See definitions of these and other key concepts in Section 2.) + +The CPS estimates are available by various demographic characteristics, including age, sex, race, Hispanic or Latino ethnicity, and +marital status. Numerous cross-tabulations of labor force variables by demographic and labor force characteristics are available. + +The survey is conducted by the U.S. Census Bureau for the Bureau of Labor Statistics. Each month, typically during the calendar week including +the 19th day, Census interviewers contact households by telephone and in person and ask questions regarding the labor market activity +of household members during the previous calendar week which included the 12th day of the month. + +Statistics based on the CPS are subject to both sampling and nonsampling error. When a sample, rather than an entire population, is surveyed, +there is a chance that the sample estimates may differ from the true population values they represent. The exact difference, or sampling error, +varies depending on the particular sample selected, and this variability is measured by the standard error of the estimate. There is about a +90-percent chance, or level of confidence, that an estimate based on a sample will differ by no more than 1.6 standard errors from the true +population value because of sampling error. Nonsampling error can occur for many reasons, including the failure to sample a segment of the +population, inability to obtain information for all respondents in the sample, inability or unwillingness of respondents to provide correct +information, and errors made in the collection or processing of data. + + + +References: BLS Handbook of Methods, Chapter 1, "Labor force data derived from the Current Population Survey." + http://www.bls.gov/opub/hom/homch1_a.htm. + Additional technical documentation is available at http://www.bls.gov/cps/documentation.htm. + + + + +================================================================================ +Section 2--Key Concepts and Definitions +================================================================================ + +Civilian noninstitutional population. +The civilian noninstitutional population includes all persons 16 years of age and older residing in the 50 States and the District of Columbia +who are not confined to institutions (for example, correctional facilities or residential nursing and mental health care facilities) and +who are not on active duty in the Armed Forces. + + +Employed. +Employed persons are those who, during the survey reference week, (a) did any work at all as paid civilians; (b) worked in their own business +or profession or on their own farm; (c) worked 15 hours or more as unpaid workers in a business or farm operated by a family member; or (d) were +temporarily absent from their jobs because of illness, vacation, bad weather, or another reason, whether or not they were paid for the time off. + + +Unemployed. +Unemployed persons are those who had no employment during the survey week, were available for work at that time, and made specific efforts to +find employment sometime in the prior 4 weeks. Persons temporarily laid off from their former jobs and awaiting recall did not need to be looking for work +to be classified as unemployed. + + +Civilian labor force. +The civilian labor force comprises all persons classified as employed or unemployed. + + +Participation rate. +The civilian labor force participation rate represents the civilian labor force as a percent of the civilian noninstitutional population. + + +Employment-population ratio. +The employment-population ratio represents the proportion of the population that is employed. + + +Full-time workers. +Full-time workers are those who usually work 35 hours or more per week (at all jobs). + + +Part-time workers. +Part-time workers are those who usually work less than 35 hours per week (at all jobs). + + +Not in the labor force. +Persons who are not employed or unemployed are classified as not in the labor force. This group reflects persons who are neither working nor +actively seeking work. Many who are not in the labor force are retired, going to school, or taking care of family members. + + +Marital status. +Married, spouse present, refers to husbands and wives living together in the same household, even though one may be temporarily absent on business, +on vacation, on a visit, in a hospital, or for other reasons. +Other marital status includes persons who are never-married; married, spouse absent; separated; widowed; or divorced. +Separated includes persons with legal separations, those living apart with intentions of obtaining a divorce, and other people permanently or +temporarily separated because of marital discord. +Married, spouse absent, includes married people living apart because either the husband or wife was employed and living at a considerable distance +from home, was serving away from home in the Armed Forces, had moved to another area, or had a different place of residence for any other reason +except separation as defined above. + + +Children. +Data on children refer to own children under age 18 that live in the household. Included are sons, daughters, stepchildren, and adopted children of +the husband, wife, or person maintaining the family. Not included are nieces, nephews, grandchildren, other related children, and all unrelated +children living in the household. + + +Race. +White, Black or African American, and Asian are terms used to describe the race of persons. Persons in these categories are those who selected +that race group only. Data for the remaining race categories--American Indian or Alaska Native, Native Hawaiian or Other Pacific Islander, and +persons who selected more than one race category--are included in totals but are not shown separately because the number of survey respondents +was too small to develop estimates of sufficient quality for publication. In the survey process, race is determined by the household respondent. + + +Hispanic or Latino ethnicity. +This term refers to persons who identified themselves in the survey as being Spanish, Hispanic, or Latino. Persons whose ethnicity is identified +as Hispanic or Latino may be of any race. + + + + +================================================================================ +Section 3--Data Available +================================================================================ + +The marital and family labor force statistics (FM) database from the Current Population Survey reflects data published each year in the news release, +"Employment Characteristics of Families." + +At the present time, only data for persons are available in the FM database. Person data include employment status by marital status and presence and age of own children. +For example, the FM database includes the labor force participation rate of mothers with children under age 6 (series FMUP1378865). + +Data series for families, including the number of families by family type and employment and unemployment of family members, will be added in the future. + +The data are annual averages of information collected monthly in the survey. The annual averages are calculated from not seasonally adjusted monthly data. +At present, the FM database has data beginning with 2009 annual averages. + + +The FM database is one of several databases containing estimates from the CPS. Other data from the CPS, including monthly estimates of employment and +unemployment and quarterly data on earnings, are available at http://www.bls.gov/cps/data.htm. + + +References: The current Employment Characteristics of Families news release as well as archived editions and other information on families and marital +status are available at http://www.bls.gov/cps/demographics.htm#families. + + + + + + + diff --git a/bls/fm/fm_chld.parquet b/bls/fm/fm_chld.parquet new file mode 100644 index 0000000000000000000000000000000000000000..1afc3a61bf3b350d413060a1d249f06bc80130fc --- /dev/null +++ b/bls/fm/fm_chld.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:da3391929afc41230b52f8b803720afdf31a5ff8827bc87003f1c703c9a831e6 +size 1993 diff --git a/bls/fm/fm_contacts.parquet b/bls/fm/fm_contacts.parquet new file mode 100644 index 0000000000000000000000000000000000000000..b2e48f553b9ccb1e0ae2eb7400faba4beeaa6d76 --- /dev/null +++ b/bls/fm/fm_contacts.parquet 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0000000000000000000000000000000000000000..4f03e288bcdbcaaa0681aff0d6b1c77ee79802ed --- /dev/null +++ b/bls/fm/fm_wkst.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a3a1f1d3d37d1de0006f8c0e0586a3bd97de2ce43edbaa1cdd54700febd82ed5 +size 1914 diff --git a/bls/fw/README.md b/bls/fw/README.md new file mode 100644 index 0000000000000000000000000000000000000000..ee5e6a2278b6b532e79c26342c56094227b424b3 --- /dev/null +++ b/bls/fw/README.md @@ -0,0 +1,24 @@ +# BLS survey `fw` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/fw/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `fw.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 | +|---|---|---| +| fw.area | 70 | area_code, area_text, display_level, selectable, sort_sequence | +| fw.case | 12 | case_code, case_text | +| fw.category | 3236 | case_code, category_code, category_text, display_level, selectable, sort_sequence | +| fw.category2 | 328 | category_code, category_text | +| fw.contacts | 40 | Safety, Health, and Working Conditions Contacts: Injuries, Illnesses, and Fatalities (IIF) Program | +| fw.data.1.AllData | 11303022 | series_id, year, period, value, footnote_codes | +| fw.datatype | 1 | datatype_code, datatype_text | +| fw.event | 285 | event_code, event_text, display_level, selectable, sort_sequence | +| fw.footnote | 0 | footnote_code, footnote_text | +| fw.industry | 1444 | industry_code, industry_text, display_level, selectable, sort_sequence | +| fw.occupation | 1123 | occupation_code, occupation_text, display_level, selectable, sort_sequence | +| fw.seasonal | 2 | seasonal_code, seasonal_text | +| fw.series | 4792838 | series_id, seasonal, category_code, datatype_code, case_code, industry_code, event_code, source_code, occupation_code, area_code, footnote_codes, begin_year, begin_period, end_year, end_period | +| fw.source | 928 | source_code, source_text, display_level, selectable, sort_sequence | diff --git a/bls/fw/fw.txt b/bls/fw/fw.txt new file mode 100644 index 0000000000000000000000000000000000000000..266fdcbcf0d3bee24c6cb226f011b866fbc70ad1 --- /dev/null +++ b/bls/fw/fw.txt @@ -0,0 +1,465 @@ +CENSUS OF FATAL OCCUPATIONAL INJURIES (FW) + fw.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 (FW) + +Survey Description: + +The Bureau of Labor Statistics (BLS) Census of Fatal Occupational Injuries (CFOI) produces +comprehensive, accurate, and timely counts of fatal work injuries. CFOI is a Federal-State +cooperative program that has been active in all 50 States and the District of Columbia since 1992. +To compile counts that are as complete as possible, CFOI uses multiple sources to identify, +verify, and profile fatal worker injuries. Information about each workplace fatal injury is +obtained by cross referencing the source records, such as death certificates, workers' +compensation reports, and Federal and State agency administrative reports. To ensure that fatal +injuries are work-related, cases are substantiated with two or more independent source documents, +or a source document and a follow-up questionnaire. + +CFOI publishes detailed data on case characteristics such as the event or exposure leading to the +fatal injury, the source of the fatal injury, and worker activity at the time of the incident. +Event or exposure, source, and other case characteristic codes are currently based on the BLS +Occupational Injury and Illness Classification System (OIICS) 2.01, which can be viewed at our Web +site at http://www.bls.gov/iif/oshoiics.htm. + +BLS also tabulates the number of fatal occupational injuries by demographic attributes such as +age, gender, race, ethnic origin, and occupation. Occupation classifications are currently based +on the 2010 Standard Occupational Classification [SOC] system. These tabulations are also +available by major industry sectors or by detailed industry. Industry classifications are currently +based on the 2007 North American Industrial Classification System [NAICS]. + +Frequency of observations: All data are annual. + +Data characteristics: All figures are actual numbers of fatal injuries. + +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 files are on the BLS internet in the +sub-directory pub/time.series/fw: + + fw.area - Area codes mapping file + fw.case - Case codes mapping file + fw.category - Category codes mapping file + fw.category2 - Category codes mapping file + fw.contacts - Contacts for CFOI + fw.data.0.Current - All current year-to-date data + fw.data.1.AllData - All data + fw.datatype - Data type codes mapping file + fw.event - Event codes mapping file + fw.footnote - Footnote codes mapping file + fw.industry - Industry codes mapping file + fw.occupation - Occupation codes mapping file + fw.series - All series with beginning and end dates + fw.source - Source codes mapping file + fw.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 fw.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 FWU00X00000080N00 + +2. category_code* 3 00X + +3. datatype_code* 1 8 + +4. case_code* 1 0 + +5. industry_code* 6 000000 + +6. event_code* 6 0000XX + +7. source_code* 6 0000XX + +8. occupation_code* 6 000000 + +9. area_code* 3 N00 + +10. begin_year 4 2011 + +11. begin_period 3 A01 + +12. end_year 4 2011 + +13. end_period 3 A01 + + +*Note fields/data elements denoted with an * indicate parts of the series id that +are also broken out separately in the fw.series file. A more detailed breakdown of the +series id is described below. + + +The series_id (FWU00X00000080N00) can be broken out into: + +Code Value + +survey abbreviation = FW +seasonal(code) = U +category_code = 00X + +Detailed category codes (choose one) +industry_code* = 000000 +event_code* = 0000XX +source_code* = 0000XX +occupation_code* = 000000 + +datatype_code = 8 +case_code = 0 +area_code = N00 + + +*Please note that there are four possible detailed category codes (industry, event, source, +and occupation) that make up the 6 character length in the 7-12 positions of the series_id. +Any of the four can be selected, but only one at any given time. + + +================================================================================ +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 fw.data file is partitioned into two separate files: + + 1. fw.data.0.Current - All current year-to-date data + 2. fw.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 FWU00X00000080N00 + +2. year 4 2011 + +3. period 3 A01 + +4. value 12 4609 + +5. footnote_codes 10 It varies + + +The series_id (FWU00X00000080N00) can be broken out into: + +Code Value + +survey abbreviation = FW +seasonal(code) = U +category_code = 00X + +Detailed category codes (choose one) +industry_code* = 000000 +event_code* = 0000XX +source_code* = 0000XX +occupation_code* = 000000 + +datatype_code = 8 +case_code = 0 +area_code = N00 + +*Please note that there are four possible detailed category codes (industry, event, source, +and occupation) that make up the 6 character length in the 7-12 positions of the series_id. +Any of the four can be selected, but only one at any given time. + + +================================================================================ +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: fw.area + +Field #/Data Element Length Value(Example) + +1. area_code 3 N00 + +2. area_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + + +File Name: fw.case + +Field #/Data Element Length Value(Example) + +1. case_code 1 9 + +2. case_text 100 Text + + +File Name: fw.category + +Field #/Data Element Length Value(Example) + +1. case_code 1 9 + +2. category_code 3 00X + +3. category_text 100 Text + + +File Name: fw.category2 + +Field #/Data Element Length Value(Example) + +1. category_code 3 00X + +2. category_text 100 Text + + +File Name: fw.datatype + +Field #/Data Element Length Value(Example) + +1. datatype_code 1 8 + +2. datatype_text 100 Text + + +File Name: fw.event + +Field #/Data Element Length Value(Example) + +1. event_code 6 0000XX + +2. event_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + + +File Name: fw.industry + +Field #/Data Element Length Value(Example) + +1. industry_code 6 000000 + +2. industry_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + + +File Name: fw.occupation + +Field #/Data Element Length Value(Example) + +1. occupation_code 6 000000 + +2. occupation_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + + +File Name: fw.source + +Field #/Data Element Length Value(Example) + +1. source_code 6 0000XX + +2. source_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 + + +File Name: fw.footnote + +Field #/Data Element Length Value(Example) + +1. footnote_code 1 P + +2. footnote_text 100 Text + + +================================================================================ +Section 7 +================================================================================ +CENSUS OF FATAL OCCUPATIONAL INJURIES (FW) DATABASE ELEMENTS + + +Data Element Length Value(Example) Description + + +area_code 3 N00 Unique code used to identify + a specific geographic region. + +area_text 100 Text Describes the specific + geographic region. + +begin_year 4 2011 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 00X 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 2011 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 6 0000XX 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 P Identifies footnote for + the data series. + +footnote_codes 10 It varies Identifies footnotes for + the data series. + +footnote_text 100 Text Contains the text of the + footnote. + +industry_code 6 000000 The code identifies the + industry for which data are + observed. + +industry_text 100 Text Describes the industry for + which data are observed. + +occupation_code 6 000000 The code identifies the + occupation of the person + experiencing the injury. + +occupation_text 100 Text Describes the occupation of + the person experiencing the + injury. + +series_id 17 FWU00X80000000N00 Code identifying the + specific series. + +source_code 6 0000XX The code identifies the + source of injury. + +source_text 100 Text Describes the + source of injury. + +value 12 Variable Data value for series. + +year 4 2011 Identifies year of + observation. + diff --git a/bls/fw/fw_area.parquet b/bls/fw/fw_area.parquet new file mode 100644 index 0000000000000000000000000000000000000000..4d081cd3524328fbcf3a55739eb0ae6622a24e81 --- /dev/null +++ b/bls/fw/fw_area.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a139779742dba15d3d723fe981c104d5a34b736d1a6916f23fa6d3bb41517200 +size 4660 diff --git a/bls/fw/fw_case.parquet b/bls/fw/fw_case.parquet new file mode 100644 index 0000000000000000000000000000000000000000..460ac4672710135f0b53ce94337b73e951919228 --- /dev/null +++ b/bls/fw/fw_case.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:20892a17ce018b1c90f09d32f869cb6166ae65f166bab60b3f798378f32574c6 +size 2045 diff --git a/bls/fw/fw_category.parquet b/bls/fw/fw_category.parquet new file mode 100644 index 0000000000000000000000000000000000000000..09f5a40672d495d8bd873a7ca5d34ba0f11903e3 --- /dev/null +++ b/bls/fw/fw_category.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:083ec68901dd377bcd495336fd31434e1788fd02ad797e8c94cabce19f789dde +size 22896 diff --git a/bls/fw/fw_category2.parquet b/bls/fw/fw_category2.parquet new file mode 100644 index 0000000000000000000000000000000000000000..139535054c9e8a290805d3f02713b49282d0bb7d --- /dev/null +++ b/bls/fw/fw_category2.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1f39e6f7bde448de79f6aacc2ba8a6d3b5b8271dc2b5c4f659dddd73ac9cedf1 +size 7833 diff --git a/bls/fw/fw_contacts.parquet b/bls/fw/fw_contacts.parquet new file mode 100644 index 0000000000000000000000000000000000000000..0547fb1f24527ba49b457a092518b20f3a93fa1d --- /dev/null +++ b/bls/fw/fw_contacts.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c15a7c9aaa65f8272728cbaceaf5af121571ff14d7be924b2e8055474523ac0d +size 2824 diff --git a/bls/fw/fw_data_1_AllData.parquet b/bls/fw/fw_data_1_AllData.parquet new file mode 100644 index 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sha256:610e2e3825a68f0af019ff89c18df9289ce71b5b3076e0e5b4fce2cf0996de9e +size 9346 diff --git a/bls/fw/fw_footnote.parquet b/bls/fw/fw_footnote.parquet new file mode 100644 index 0000000000000000000000000000000000000000..bd1b61dec4a13ebac5017c0caf9eef285f51700c --- /dev/null +++ b/bls/fw/fw_footnote.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cd0ca8fa879ccf87ffd3db7d05295285ee1153a6e1f1487c3ffd7f56645ae994 +size 1570 diff --git a/bls/fw/fw_industry.parquet b/bls/fw/fw_industry.parquet new file mode 100644 index 0000000000000000000000000000000000000000..1118acb4b102326269b8c53c737198a149f4a465 --- /dev/null +++ b/bls/fw/fw_industry.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a98c73c36a703b9067058ecee394bfc0c878b7cedf7370fba12a576ba1b3bd33 +size 30937 diff --git a/bls/fw/fw_occupation.parquet b/bls/fw/fw_occupation.parquet new file mode 100644 index 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sha256:c9f4f9e550f3920d7d88f35d64dba9844c7d9fda60b5f26826640f7baff8175a +size 19922135 diff --git a/bls/fw/fw_source.parquet b/bls/fw/fw_source.parquet new file mode 100644 index 0000000000000000000000000000000000000000..8b72f35a286d7b7eb8e5c3b6e8192b288af756b7 --- /dev/null +++ b/bls/fw/fw_source.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c792cefd66d5275ab17515948abd59b51591eff8ebc84b3090e56c3b1a2cc0e7 +size 21869 diff --git a/bls/gg/README.md b/bls/gg/README.md new file mode 100644 index 0000000000000000000000000000000000000000..ca5aae1d2a4b98de346bab919a328e750605369e --- /dev/null +++ b/bls/gg/README.md @@ -0,0 +1,24 @@ +# BLS survey `gg` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/gg/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `gg.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 | +|---|---|---| +| gg.altenergy | 1 | altenergy_code, altenergy_text | +| gg.area | 52 | area_code, area_text | +| gg.contacts | 2 | Green Goods and Services Survey Contacts | +| gg.data.1.AllData | 3288 | series_id, year, period, value, footnote_codes | +| gg.dataelement | 3 | dataelement_code, dataelement_text | +| gg.footnote | 3 | footnote_code, footnote_text | +| gg.greenquartile | 1 | greenquartile_code, greenquartile_text | +| gg.industry | 247 | industry_code, industry_text, display_level, selectable, sort_sequence | +| gg.own | 5 | own_code, own_text | +| gg.periodicity | 1 | periodicity_code, periodicity_text | +| gg.ratelevel | 2 | ratelevel_code, ratelevel_text | +| gg.seasonal | 2 | seasonal_code, seasonal_text | +| gg.series | 1644 | series_id, seasonal, periodicity_code, area_code, industry_code, altenergy_code, own_code, size_code, dataelement_code, greenquartile_code, ratelevel_code, footnote_codes, begin_year, begin_period, end_year, end_period | +| gg.size | 1 | size_code, size_text | diff --git a/bls/gg/gg.txt b/bls/gg/gg.txt new file mode 100644 index 0000000000000000000000000000000000000000..734bc59b5f1d8df3aa92bb6e45aa598d232a3aea --- /dev/null +++ b/bls/gg/gg.txt @@ -0,0 +1,368 @@ +Green Goods and Services (GGS) + gg.txt + + + + +Section Listing + +1. Survey Definition +2. FTP files listed in the survey directory. +3. 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: Green Goods and Services Survey (GGS) + +Survey Description: The Green Goods and Services (GGS) program provides +national and State estimates of GGS employment levels and rates by North +American Industrial Classification System (NAICS) industry code and ownership. +GGS employment is employment associated with producing green goods or +providing green services. GGS employment level and rate estimates are also +published at the State level for private, local government, State government, +and federal government ownerships at the NAICS industry sector level. + +At the national level, GGS employment level and rate estimates are published +by select NAICS industries based on the 2007 NAICS codes. These select +industries are within a subset of 333 industries identified as being potential +producers of green goods and services. For a list of these 333 industries, +please visit our Web site at http://www.bls.gov/ggs. + +At the State level, GGS employment level and rate estimates are published by +select sectors based on the 2007 NAICS codes. These select sectors include: +mining and logging; construction; manufacturing; trade; transportation; +utilities; information; finance and insurance; professional and business +services; educational services; arts, entertainment, and recreation; other +services; federal government; State government, and local government. + +The sample for the Green Goods and Services Survey includes approximately +120,000 randomly selected establishments per year in the 50 states and the +District of Columbia from the Quarterly Census of Employment and Wages (QCEW) +sample frame. Most of these establishments, which include factories, offices, +government agencies, and stores, are selected from the second quarter QCEW +sample frame, while a small sample of new business establishments is selected +from the third and fourth quarters. The sample is designed to estimate GGS +employment at both national industry and state industry sector levels of +detail. + +All data series are published on a quarterly rolling-year basis, beginning +with the fourth quarter of 2010. + +Data Characteristics: All published levels are rounded to the nearest unit. +All rates are published in percent to one decimal place. + +Special characteristics of the data are footnoted where necessary. + +Updating Schedule: The updating schedule for GGS data is yet to be determined. + +============================================================================== +Section 2 +============================================================================== + +The following Green Goods and Services Survey files are on the BLS +internet in the sub-directory pub/time.series/gg: + + gg.data.Current - Most current GGS data + gg.data.All - All GGS data + gg.area - State codes + gg.contacts - Contacts for GGS survey + gg.footnote - Footnote codes + gg.industry - Industry codes + gg.own - Ownership codes + gg.periodicity - Periodicity codes + gg.ratelevel - Rate/level codes + gg.series - All series and their beginning and + end dates + gg.txt - General information + + +============================================================================== +Section 3 +============================================================================== +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 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 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 (GGS uses quarterly rolling-year + averages) +d) value +e) footnote code (if available) + +============================================================================== +Section 4 +============================================================================== +File Structure and Format: The following represents the file format used to +define gg.series. Note that the Field Numbers are for reference only; they do +not exist in the database. Data files are in ASCII text format. Data elements +are separated by spaces; the first record of each file contains the column +headers for the data elements stored in each field. Each record ends with a +new line character. + +Field #/Data Element Length Value(Example) + +1. series_id 23 GGUQ000002211190150010R + +2. seasonal 1 U + +3. periodicity_code 1 Q + +4. area_code 5 00000 + +5. industry_code 6 221119 + +6. altenergy_code 2 01 + +7. own_code 1 5 + +8. sizeclass_code 1 0 + +9. dataelement_code 2 01 + +10. futureuse_code 1 0 + +11. ratelevel_code 1 R + +12. footnote_codes 2 It varies + +13. begin_year 4 2010 + +14. begin_period 2 Q04 + +15. end_year 4 2011 + +16. end_period 2 Q01 + + +The series_id (GGUQ000002211190150010R) can be broken out into: + +Code Value + +survey abbreviation = GG +seasonal (code) = U +periodicity_code = Q +area_code = 00000 +industry_code = 221119 +alt_energy_code = 01 +own_code = 5 +size_code = 0 +data_element_code = 01 +futureuse_code = 0 +ratelevel_code = R + + +============================================================================== +Section 5 +============================================================================== +File Structure and Format: The following represents the file format used to +define the gg.data files. (See Section 2.) 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 above-referenced data files have the following format: + +Field #/Data Element Length Value(Example) + +1. series_id 23 GGUQ000002211190150010R + +2. year 4 2010 + +3. period 3 Q03 + +4. value 12 955712 + +5. footnote_codes 10 It varies + + +The series_id (GGUQ000002211190150010R) can be broken out into: + +Code Value + +survey abbreviation = GG +seasonal (code) = U +periodicity_code = Q +area_code = 00000 +industry_code = 221119 +alt_energy_code = 01 +own_code = 5 +size_code = 0 +data_element_code = 01 +futureuse_code = 0 +ratelevel_code = R + +============================================================================== +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: gg.area + +Field #/Data Element Length Value(Example) + +1. area_code 5 34000 + +2. area_text 100 New Jersey + + +File Name: gg.dataelement + +Field #/Data Element Length Value(Example) + +1. data_element_code 02 01 + +2. data_element_text 100 GGS employment + + +File Name: gg.footnote + +Field #/Data Element Length Value(Example) + +1. footnote_codes 1 5 + +2. footnote_text 250 Data not available. + + +File Name: gg.industry + +Field #/Data Element Length Value(Example) + +1. industry_code 6 334300 + +2. industry_text 100 Audio and video equipment mfg. + + +File Name: gg.own + +Field #/Data Element Length Value(Example) + +1. own_code 1 2 + +2. own_text 100 State government + + +File Name: gg.periodicity + +Field #/Data Element Length Value(Example) + +1. periodicity_code 1 Q + +2. periodicity_text 9 Quarterly rolling year + + +File Name: gg.ratelevel + +Field #/Data Element Length Value(Example) + +1. ratelevel_code 1 R + +2. ratelevel_text 5 Rate + + + + +============================================================================== +Section 7 +============================================================================== +GREEN GOODS AND SERVICES SURVEY (GGS) DATABASE ELEMENTS + +Data Element Length Value(Example) Description + +begin_period 3 Q01-Q04 Identifies first data + Ex: Q02=12-month observation within the first + period ending in June. year for which data is + (Q=Quarterly rolling- available for a given series. + year period.) + +begin_year 4 YYYY Identifies first year for + Ex: 2010 which data is available for a + given series. + +dataelement_code 2 01 Code identifying type of + data. + +dataelement_text 100 Text Description of type of data. + Ex: GGS employment + +end_period 3 Q01-Q04 Identifies last data + Ex: Q02=12-month observation within the last + period ending in June. year for which data is + (Q=Quarterly rolling- available for a given series. + year period.) + +end_year 4 YYYY Identifies last year for + Ex: 2010 which data is available for a + given series. + +footnote_codes 10 It varies Identifies footnotes for the + data series. + +footnote_text 100 Text Contains the text of the + footnote. + +industry_code 6 551114 Code identifying industry. + +industry_text 120 Text Name of industry. + Ex: Manufacturing + +period 3 Q01-Q04 Identifies period for which + Ex: Q02=12-month data is observed. + period ending in June. + (Q=Quarterly rolling- + year period.) + +ratelevel_code 1 R Code identifying rate or + level. + +ratelevel_text 100 Text Decription of ratelevel_code. + Ex: Rate + +seasonal 1 S=Seasonally Code identifying whether the + Adjusted data are seasonally adjusted. + U=Unadjusted + +series_id 23 GGUQ00000221119015001 Code identifying the specific + 0R series. + +value 12 Ex: 103623 Data value for series. + +year 4 YYYY Identifies year of + Ex: 2010 observation. + + + + + + diff --git a/bls/gg/gg_altenergy.parquet b/bls/gg/gg_altenergy.parquet new file 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sha256:b35a909a8a4cdf5bc6b9a831e2dade1b945aa5aa83d786eecfb494398430acca +size 7964 diff --git a/bls/gg/gg_own.parquet b/bls/gg/gg_own.parquet new file mode 100644 index 0000000000000000000000000000000000000000..146b89d81bd1808000c87032d96f8c73c0bcb6e2 --- /dev/null +++ b/bls/gg/gg_own.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d0fccd05e390529cf2d2c70338ec95e69df8de402d6a7c2ac9258c213a661e5f +size 1782 diff --git a/bls/gg/gg_periodicity.parquet b/bls/gg/gg_periodicity.parquet new file mode 100644 index 0000000000000000000000000000000000000000..9cfc3ff56be321808521eab56c5ccabd245cf078 --- /dev/null +++ b/bls/gg/gg_periodicity.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:34e4c141ca25fb6243440a423e635b7c9afc68fc83d3b6b41596bc945beb2250 +size 1786 diff --git a/bls/gg/gg_ratelevel.parquet b/bls/gg/gg_ratelevel.parquet new file mode 100644 index 0000000000000000000000000000000000000000..53fa56f0856a3a9661fef136087a0e9a8bb2e730 --- /dev/null +++ b/bls/gg/gg_ratelevel.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:701f4f8d72b5ff050be2719bcf252b15e75991df9e4c70d50d70340c1394711a +size 1751 diff --git a/bls/gg/gg_seasonal.parquet b/bls/gg/gg_seasonal.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f9a2f1fd0d823051faf42f36765638a3afad1c6f --- /dev/null +++ b/bls/gg/gg_seasonal.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a60b694ad35d825ec374b3fd8125a96c3feac221d8b94eabf894653aa641fbe9 +size 1858 diff --git a/bls/gg/gg_series.parquet b/bls/gg/gg_series.parquet new file mode 100644 index 0000000000000000000000000000000000000000..bc3c734520ee8d0f5344b1672afc5921cbe49ecf --- /dev/null +++ b/bls/gg/gg_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d6d2b6745af803261af705f43cd0a5d8a448efd340cbb57c038abe35350cf33f +size 16428 diff --git a/bls/gg/gg_size.parquet b/bls/gg/gg_size.parquet new file mode 100644 index 0000000000000000000000000000000000000000..d19e0a3ea879c65b1f4d5eeac6aea6c82d482894 --- /dev/null +++ b/bls/gg/gg_size.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7872980ea1d4e8cf3372d12f83e11579023516eff9f7b01acdf2df7dad995ae7 +size 1763 diff --git a/bls/gp/README.md b/bls/gp/README.md new file mode 100644 index 0000000000000000000000000000000000000000..856a70e65fa1134992867b7c101732815f5272c1 --- /dev/null +++ b/bls/gp/README.md @@ -0,0 +1,18 @@ +# BLS survey `gp` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/gp/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `gp.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 | +|---|---|---| +| gp.area | 53 | state_code, area_code, area_name | +| gp.charact | 78 | 0000, 16+; | +| gp.contacts | 5 | Geographic Profile Contacts | +| gp.data.1.AllData | 130904 | series_id, year, period, value, footnote_codes | +| gp.labor.force | 5 | labor_force_code, labor_force_text | +| gp.period | 1 | period, period_abbr, period_name | +| gp.series | 13654 | series_id, area_type_code, state_code, area_code, size_code, labor_force_code, charact_code, begin_year, begin_period, end_year, end_period | +| gp.state | 51 | state_code, state_name | diff --git a/bls/gp/gp.txt b/bls/gp/gp.txt new file mode 100644 index 0000000000000000000000000000000000000000..5112590005eb846db2e7782c12dce02fa952f4e7 --- /dev/null +++ b/bls/gp/gp.txt @@ -0,0 +1,345 @@ + Geographic Profile (GP) + gp.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: GEOGRAPHIC PROFILE (GP) + +Survey Description: Geographic Profile series are taken from the Current +Population Survey (CPS; see the Labor Force survey), conducted by the +Bureau of the Census, which produces information about employment and +unemployment in States, classified by a variety of demographic and economic +characteristics. + +Data for demographic groups were not published in the Geographic Profile +where they did not meet BLS publication standards of reliability for the +particular area based on the sample in that area. See Appendix B of the +Geographic Profile. All series used in the development of the Geographic +Profile are included here, whether or not they were included in the +publication itself. + +The official Bureau of Labor Statistics annual average estimates for States, +which are the basis for determining the eligibility of a State for benefits +under Federal economic assistance programs, are obtained directly from the +CPS. + +Summary Data Available Presently, there are approximately 8,500 State labor +force series available in the LABSTAT database. + +These series include the major labor force estimates for States as published +in the annual Geographic Profile of Employment and Unemployment and other +BLS publications. + +Major employment status series -- civilian labor force, employed, +unemployed, and unemployment rate -- are defined by State, race, age, sex, +and occupational classification. + +Also available are selected series for civilian noninstitutional population +by State. + +In general, if a selected set of characteristics is available for one State, +it is available for all States. However, Hispanic data for 1981-82 are +available only for selected States (including Arizona, California, Colorado, +Florida, Illinois, Indiana, Michigan, New Jersey, New Mexico, New York, +Ohio, Pennsylvania, and Texas). + +Frequency of Observations: All data are annual averages. + +Data Characteristics: Rates are expressed as percents with one decimal +place. Levels are measured in thousands of persons and are stored with no +decimal places. + +Updating Schedule: Updates are made once a year when the Geogrpahic Profile +is ready for publication in late March or early April. Historical data are +subject to adjustment due to revisions in the State population estimates +made by the Bureau of the Census. These adjustments will be incorporated +into LABSTAT with the regular annual update. + +References: BLS Handbook of Methods, Bulletin 2285 (1988), Chapter 1, + "Labor force, employment, and unemployment from the Current + Population Survey", and Chapter 4, "Measurement of + unemployment in States and local areas". +================================================================================== +Section 2 +================================================================================== +The following Geographic Profile files are on the BLS internet in the +sub-directory pub/time.series/gp: + + gp.area - Area codes mapping file + gp.charact - Character codes mapping file + gp.contacts - Contacts for gp survey + gp.data.1.AllData - All Data + gp.labor.force - Labor force codes mapping file + gp.period - Period codes mapping file + gp.series - All series and their beginning and end dates + gp.state - State codes mapping file + gp.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 +gp.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 GPU00100000E0000 + +2. area_type_code 1 0 + +3. state_code 2 01 + +4. area_code 4 5640 + +5. size_code 1 0 + +6. labor_force_code 1 E + +7. charact_code 4 0020 + +8. begin_year 4 1981 + +9. begin_period 3 A01 + +10. end_year 4 1998 + +11. end_period 3 A01 + +The series_id (GPU00100000E0000) can be broken out into: + +Code Value + +survey abbreviation = GP +seasonal (code) = U +area_type_code = 0 +state_code = 01 +area_code = 0000 +labor_force_code = E +charact_code = 0000 +================================================================================== +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. + +File Name: gp.data.1.AllData + +The above-named data file has the following format: + +Field #/Data Element Length Value(Example) + +1. series_id 17 GPU00100000E0000 + +2. year 4 1981 + +3. period 3 A01 + +4. value 12 1491 + +5. footnote_codes 10 It varies + + +The series_id (GPU00100000E0000) can be broken out into: + +Code Value + +survey abbreviation = GP +seasonal (code) = U +area_type_code = 0 +state_code = 01 +area_code = 0000 +labor_force_code = E +charact_code = 0000 +================================================================================ +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: gp.area + +Field #/Data Element Length Value(Example) + +1.state_code 2 04 + +2.area_code 4 6200 + +3.area_name 50 Text + + +File Name: gp.charact + +Field #/Data Element Length Value(Example) + +1. charact_code 4 0020 + +2. charact_text 50 Text + + +File Name: gp.labor.force + +Field #/Data Element Length Value(Example) + +1. labor_force_code 1 P,L,E,U or R + +2. labor_force_text 40 Text + + +File Name: gp.period + +Field #/Data Element Length Value(Example) + +1. period 3 A01 + +2. period_abbr 5 ANN + +3. period_name 20 Text + + +File Name: gp.state + +Field #/Data Element Length Value(Example) + +1.state_code 2 01 + +2.state_name 20 Text + +========================================================================================= +Section 7 +========================================================================================= +GEOGRAPHIC PROFILE (GP) DATABASE ELEMENTS + + +Data Element Length Value(Example) Description + +area_code 4 6200 Code identifying the + geographic area to which + the data refer. + +area_name 50 Text Name of the geographic area + Ex: Milwaukee to which the data refer. + +area_type_code 1 0 Unique code defining the + type of area. + +begin_period 3 A01=Annual Identifies first data observation + within the first year for which + data is available for a given + time series. + +begin_year 4 YYYY Identifies first year for which + Ex: 1976 data is available for a given + time series. + +charact_code 4 0020 Data characteristics; e.g., + race, age, occupation. + +charact_text 50 Text Description of data + Ex: 16-19 years characteristic. + years of age + +end_period 3 A01=Annual Identifies last data observation + within the last year for which + data is available for a given + time series. + +end_year 4 YYYY Identifies last year for which + Ex: 1990 data is available for a given + time series. + +footnote_codes 10 It varies Identifies footnotes for the data + series. + +labor_force 1 P,L,E,U or R Identifies the sector of the +_code labor force measured by the + series. + +labor_force_ 40 Text Description of the labor force +_text Ex: Civilian labor sector measured by the series. + force + +period_abbr 5 Period name Abbreviation of period name. + abbreviation + Ex: ANN + +period 3 A01=Annual Identifies period for which + data is observed. + +period_name 20 Text Full name of period to which + Ex: Annual the data observation refers. + +series_id 17 GPU00100000E0000 Code identifying the + specific series. + +size_code 1 0 Code indicating size of area. + +state_code 2 01 Code identifying the state. + +state_name 20 Text Name of state. + Ex: Wyoming + +value 12 Data value Observation for series. + +year 4 YYYY Identifies year of observation. + Ex: 1992 + + diff --git a/bls/gp/gp_area.parquet b/bls/gp/gp_area.parquet new file mode 100644 index 0000000000000000000000000000000000000000..a55a18cb1891606520de73a9ff8c2b15a89186d6 --- /dev/null +++ b/bls/gp/gp_area.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:36a49d590da2328cb07f5e36748ca30d2848e2faef848d0afc8ac90463a5ec78 +size 3336 diff --git a/bls/gp/gp_charact.parquet b/bls/gp/gp_charact.parquet new file mode 100644 index 0000000000000000000000000000000000000000..119c9817ba83a938c6ce2ca6fc252d09da9308df --- /dev/null +++ b/bls/gp/gp_charact.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ca5ce18f2c012d3ea9be90362cdf3af9d1e512f4b0816021cec2df7cf2b75383 +size 2727 diff --git a/bls/gp/gp_contacts.parquet b/bls/gp/gp_contacts.parquet new file mode 100644 index 0000000000000000000000000000000000000000..6b7eb200fa190196717acdb23052216ba017a368 --- /dev/null +++ b/bls/gp/gp_contacts.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:53d339a59aa1532bcf0630af57ffdfe3cd3b98bf77801ea5def32879e59a70a0 +size 1709 diff --git a/bls/gp/gp_data_1_AllData.parquet b/bls/gp/gp_data_1_AllData.parquet new file mode 100644 index 0000000000000000000000000000000000000000..c90fc990e57f9d79d90873cf8a0ff7fc63d8392b --- /dev/null +++ b/bls/gp/gp_data_1_AllData.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6274c3caf9d1194b151e321621f3925374a2a3cfdbe332eab23a3c220b043007 +size 337497 diff --git a/bls/gp/gp_labor_force.parquet b/bls/gp/gp_labor_force.parquet new file mode 100644 index 0000000000000000000000000000000000000000..4e91f5106140245fd90f7944de1c6307a241a283 --- /dev/null +++ b/bls/gp/gp_labor_force.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0a0ec336dac161013928524545ba7f357d1fd5431ec4e854c3d0092242568734 +size 1960 diff --git a/bls/gp/gp_period.parquet b/bls/gp/gp_period.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f7a0276eb1d0f1c41e5635e5e783aacd1af954a7 --- /dev/null +++ b/bls/gp/gp_period.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c130bf08d37d60d0705d3be87a7bb3f15a239eb5bc6e85c7c4c0226820a76032 +size 2229 diff --git a/bls/gp/gp_series.parquet b/bls/gp/gp_series.parquet new file mode 100644 index 0000000000000000000000000000000000000000..d2adc0b00a9d92cf8412ea57772ea60105c2d038 --- /dev/null +++ b/bls/gp/gp_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2868cebcd3419831a3f1317f00381d40886e9cb60ae84f920bd00a2f5c138437 +size 12884 diff --git a/bls/gp/gp_state.parquet b/bls/gp/gp_state.parquet new file mode 100644 index 0000000000000000000000000000000000000000..e2782cd9f4a1df37913d3b0db670ff47ee628a44 --- /dev/null +++ b/bls/gp/gp_state.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:932754cbdeb6ed15fb94fb0a1a6d657f7f277e1fb374591524d888479fc7d464 +size 2305 diff --git a/bls/hc/README.md b/bls/hc/README.md new file mode 100644 index 0000000000000000000000000000000000000000..b670d7f00c725462ca17dd6e296dc5f25b284401 --- /dev/null +++ b/bls/hc/README.md @@ -0,0 +1,28 @@ +# BLS survey `hc` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/hc/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `hc.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 | +|---|---|---| +| hc.age | 10 | age_code, age_text | +| hc.case | 10 | case_code, case_text | +| hc.category | 980 | case_code, category_code, category_text | +| hc.category2 | 107 | category_code, category_text | +| hc.contacts | 55 | Safety, Health, and Working Conditions Contacts | +| hc.data.1.AllData | 221143 | series_id, year, period, value, footnote_codes | +| hc.datatype | 3 | datatype_code, datatype_text | +| hc.event | 265 | event_code, event_text, display_level, selectable, sort_sequence | +| hc.footnote | 1 | footnote_code, footnote_text | +| hc.gender | 4 | gender_code, gender_text | +| hc.industry | 925 | industry_code, industry_text, display_level, selectable, sort_sequence | +| hc.los | 6 | los_code, los_text | +| hc.nature | 500 | nature_code, nature_text, display_level, selectable, sort_sequence | +| hc.occupation | 491 | occupation_code, occupation_text, display_level, selectable, sort_sequence | +| hc.pob | 169 | pob_code, pob_text, display_level, selectable, sort_sequence | +| hc.race | 8 | race_code, race_text | +| hc.series | 221143 | 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 | +| hc.source | 1367 | source_code, source_text, display_level, selectable, sort_sequence | diff --git a/bls/hc/hc.txt b/bls/hc/hc.txt new file mode 100644 index 0000000000000000000000000000000000000000..d866dbf53eb4b904369828e3e0b5f36915f49bc4 --- /dev/null +++ b/bls/hc/hc.txt @@ -0,0 +1,498 @@ + Occupational Injuries and Illnesses - Characteristics Data (HC) + hc.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 (HC) + +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/hc: + + + hc.age - Age codes (mapping file) + hc.case - Case codes (mapping file) + hc.category - Category codes (mapping file) + hc.category2 - Category codes (mapping file) + hc.contacts - Contacts for hc survey + hc.data.0.Current - All current year-to-date data + hc.data.1.AllData - All data + hc.event - Event codes (mapping file) + hc.gender - Gender codes (mapping file) + hc.industry - Industry codes (mapping file) + hc.los - LOS codes (mapping file) + hc.nature - Nature codes (mapping file) + hc.occupation - Occupation codes (mapping file) + hc.pob - POB codes (mapping file) + hc.race - Race codes (mapping file) + hc.series - All series with beginning and end dates + hc.source - Source codes (mapping file) + hc.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 hc.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 HCU00000033 + +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 (HCUSH332233) can be broken out into: + +Code = Value + +survey abbreviation = HC +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 hc.data file is partitioned into two separate files: + + 1. hc.data.0.Current = All current year-to-date data + 2. hc.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 HCUSH332233 + +2. year 4 1998 + +3. period 3 M01 + +4. value 12 2360 + +5. footnote_codes 10 It varies + +The series_id (HCUSH332233) can be broken out into: + +Code = Value + +survey abbreviation = HC +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: hc.age + +Field #/Data Element Length Value(Example) + +1. age_code 4 14XX + +2. age_text 100 Text + + +File Name: hc.case + +Field #/Data Element Length Value(Example) + +1. case_code 1 N + +2. case_text 100 Text + + +File Name: hc.category + +Field #/Data Element Length Value(Example) + +1. case_code 1 3 + +2. category_code 2 09 + +3. category_text 100 Text + + +File Name: hc.category2 + +Field #/Data Element Length Value(Example) + +1. category_code 2 09 + +2. category_text 100 Text + + +File Name: hc.datatype + +Field #/Data Element Length Value(Example) + +1. datatype_code 1 3 + +2. datatype_text 100 Text + + +File Name: hc.event + +Field #/Data Element Length Value(Example) + +1. event_code 4 0XXX + +2. event_text 100 Text + + +File Name: hc.gender + +Field #/Data Element Length Value(Example) + +1. gender_code 4 FXXX + +2. gender_text 100 Text + + +File Name: hc.industry + +Field #/Data Element Length Value(Example) + +1. industry_code 4 0100 + +2. industry_text 100 Text + + +File Name: hc.los + +Field #/Data Element Length Value(Example) + +1. los_code 4 NRXX + +2. los_text 100 Text + + +File Name: hc.nature + +Field #/Data Element Length Value(Example) + +1. nature_code 4 00XX + +2. nature_text 100 Text + + +File Name: hc.occupation + +Field #/Data Element Length Value(Example) + +1. occupation_code 4 0030 + +2. occupation_text 100 Text + + +File Name: hc.pob + +Field #/Data Element Length Value(Example) + +1. pob_code 4 0XXX + +2. pob_text 100 Text + + +File Name: hc.race + +Field #/Data Element Length Value(Example) + +1. race_code 4 2XXX + +2. race_text 100 Text + + +File Name: hc.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 (HC) 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 HCUSH332233 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/hc/hc_age.parquet b/bls/hc/hc_age.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f0668e3ff7ce80ad7762525219607efbc3f2f41e --- /dev/null +++ b/bls/hc/hc_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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sha256:2410ea082d6c52466abe1f83c4f429dcf7180caafca9efbdc28c5f94eed1cd57 +size 888887 diff --git a/bls/hc/hc_source.parquet b/bls/hc/hc_source.parquet new file mode 100644 index 0000000000000000000000000000000000000000..17e7a43ee608acdda3cc4635bc2e6efb69079e22 --- /dev/null +++ b/bls/hc/hc_source.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5bafd813a721f20f930b6bb6e1c78faf87a54a767ae5848d968c1d29c58ce6c6 +size 26568 diff --git a/bls/hs/README.md b/bls/hs/README.md new file mode 100644 index 0000000000000000000000000000000000000000..1c2c1970351111ee30ec950caffd3cce81695512 --- /dev/null +++ b/bls/hs/README.md @@ -0,0 +1,20 @@ +# BLS survey `hs` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/hs/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `hs.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 | +|---|---|---| +| hs.case.type | 9 | case_type_code, case_type_text | +| hs.contacts | 55 | Safety, Health, and Working Conditions Contacts | +| hs.data.1.1976to1980 | 76612 | series_id, year, period, value, footnote_codes | +| hs.data.2.1981to1984 | 66438 | series_id, year, period, value, footnote_codes | +| hs.data.3.1985to1988 | 63027 | series_id, year, period, value, footnote_codes | +| hs.data.type | 3 | data_type_code, data_type_text | +| hs.division | 11 | division_code, division_name | +| hs.industry | 822 | division_code, industry_code, industry_name | +| hs.period | 1 | period, period_abbr, period_name | +| hs.series | 18762 | series_id, division_code, industry_code, data_type_code, case_type_code, begin_year, begin_period, end_year, end_period | diff --git a/bls/hs/hs.txt b/bls/hs/hs.txt new file mode 100644 index 0000000000000000000000000000000000000000..85045acb5dcc9d8c89cca6d4d05fa232e5529a62 --- /dev/null +++ b/bls/hs/hs.txt @@ -0,0 +1,402 @@ + Occupational Injuries and Illnesses Incidences Rate Data (HS) + hs.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 INCIDENCES + RATE DATA (HS) + +Survey Description: The occupational injury and illness incidence rate is +an annual measure of incidence of work-related injuries and illnesses and +is in the form of the number of injuries and illnesses, or lost workdays per +100 full-time employees. For this purpose, 200,000 employee hours +represent 100 employee years. + +Data collected through the annual survey are based on records which employer +s maintain under the Occupational Safety and Health Act. The data include +all cases resulting from work accidents or exposure in the work environment +which result in death, nonfatal illness, or nonfatal injury which involves +medical treatment (beyond first aid), loss of consciousness, restriction of +work or motion, or transfer to another job. + +Virtually the entire private sector is covered by the survey, except self- +employed individuals, farms with fewer than 11 employees, employers +regulated by other Federal safety and health laws, and Federal, State, and +local government agencies. Data conforming to definitions of recordable +occupational injuries and illnesses for coal, metal and nonmetal mining, +and railroad transportation are provided by the Mine Safety and Health +Administration, U.S. Department of Labor, and the Federal Railroad +Administration, U.S. Department of Transportation. + +The incidence rates are produced for industries which are based on the 1987 +Standard Industrial Classification (SIC). The survey sample design uses +stratified random sample with a Neyman allocation. The characteristics used +to stratify the units are the States, SIC code, and employment. The +sampling ratios at the various employment size classes range from all units +above a certain size class selected with certainty through declining +proportions in each smaller employment-size class. The data for all +reporting units in each industry are expanded by the inverse of the sampling +ratio, and benchmarked to the appropriate employment level in each industry. + +Since 1978, about 280,000 sample units were selected nationwide to +participate in the annual survey. + +Summary Data Available: The incidence rates are calculated for three +categories: (1) injury and illness combined, (2) injury only; and +(3) illness only. + + +The incidence rates for each category are available at the 2-digit SIC +industry level in agriculture, forestry, and fishing, the 3-digit level in +oil and gas extraction, construction, transportation and public utilities, +wholesale and retail trade, and finance, insurance, and real estate, and +services; and the 4-digit level in manufacturing. + +Estimates of incidence rates for industries are also made for various +severity classifications. For each industry, the incidence rates are +available for total recordable cases, nonfatal cases without lost workdays, +lost workday cases, and lost workdays. Lost workday cases include both +cases involving days away from work and cases involving restricted working +activity. The incidence rates are available for both cases, and also for +both types of lost workdays. + +The estimating procedure generates occupational injury and illness estimates +for approximately 835 SIC codes. This dataset, however, excludes estimates +for several industry codes if one of the following situations occurred: + + 1. Estimates for the industry were based on reports from fewer than + three companies. Moreover, if three or more companies reported data + for the industry, one firm could employ no more than 50 percent of + the workers, or two companies combined could employ no more than 75 + percent. + + 2. Annual average employment for the industry was fewer than 10,000. + However, estimates for an industry with an annual average employment + of less than 10,000 were published if the majority of the employment + was reported in the survey. + + 3. The relative standard error on lost workday cases for the industry + at 1 standard error was more than 15 percent in manufacturing and + 20 percent in nonmanufacturing. + + 4. The benchmark factor for the industry was less than 0.90 or greater + than 1.49. + +Data for an unpublished industry were included in the total for the broader +industry level of which it is a part. + + +Calculation of Incidence Rates: + + 1. The incidence rates represent the number of injuries and/or + illnesses or lost workdays per 100 full-time workers and were + calculated as: (N/EH) x 200,000. + + where: + + N = number of injuries and/or illnesses or lost workdays. + + EH = total hours worked by all employees during the calendar year. + + 200,000 = base for 100 full-time equivalent workers + (working 40 hours/week, 50 weeks/year). + + 2. Average lost workdays are calculated as: + + Total lost workdays/total lost workday cases. + +Frequency of Observations: All data are annual. + +Data Characteristics: Rates are stored to one decimal place. + +References: BLS Handbook of Methods, Chapter 14, "Occupational Safety + and Health Statistics", Part I, BLS Bulletin 2285, April + 1988. +================================================================================== +Section 2 +================================================================================== +The following Occupational Injuries and Illnesses Incidences Rate Data files are +on the BLS internet in the sub-directory pub/time.series/hs: + + + hs.case.type - Case type codes mapping file + hs.contacts - Contacts for hs survey + hs.data.1.1976to1980 - All data from 1976 - 1980 + hs.data.2.1981to1984 - All data from 1981 - 1984 + hs.data.3.1985to1988 - All data from 1985 - 1988 + hs.data.type - Data type codes mapping file + hs.division - Division codes mapping file + hs.industry - Industry codes mapping file + hs.period - Period codes mapping file + hs.series - All series and their beginning and end dates + hs.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 +hs.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 HSU30204517 + +2. division_code 2 30 + +3. industry_code 4 2045 + +4. data_type_code 1 1 + +5. case_type_code 1 7 + +6. begin_year 4 1976 + +7. begin_period 3 A01 + +8. end_year 4 1988 + +9. end_period 3 A01 + + + +The series_id (HSU00000001) can be broken out into: + +Code Value + +survey abbreviation = HS +seasonal (code) = U +division_code = 00 +industry_code = 0000 +data_type_code = 0 +case_type_code = 1 +================================================================================== +Section 5 +================================================================================== +File Structure and Format: The following represents the file format used to define +each data file. Note that the field numbers are for reference only; they do not +exist in the database. Data files are in ASCII text format. Data elements are +separated by tabs; the first record of each file contains the column headers for +the data elements stored in each field. Each record ends with a new line character. + + +File Name: bg.data.1.AllData + +The above-named data file has the following format: + +Field #/Data Element Length Value(Example) + +1. series_id 17 HSU00000001 + +2. year 4 1976 + +3. period 3 A01 + +4. value 12 0.3 + +5. footnote_codes 10 It varies + + +The series_id (HSU00000001) can be broken out into: + +Code Value + +survey abbreviation = HS +seasonal (code) = U +division_code = 00 +industry_code = 0000 +data_type_code = 0 +case_type_code = 1 +================================================================================ +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: hs.case.type + +Field #/Data Element Length Value(Example) + +1. case_type_code 1 1 + +2. case_type_text 55 Text + + +File Name: hs.data.type + +Field #/Data Element Length Value(Example) + +1. data_type_code 1 1 + +2. data_type_text 30 Text + + +File Name: hs.division + +Field #/Data Element Length Value(Example) + +1. division_code 2 09 + +2. division_name 50 Text + + +File Name: hs.industry + +Field #/Data Element Length Value(Example) + +1. division_code 2 09 + +2. industry_code 4 0100 + +3. industry_name 50 Text + + +File Name: hs.period + +Field #/Data Element Length Value(Example) + +1. period 3 A01 + +2. period_abbr 5 ANN + +3. period_name 20 Text + +========================================================================================= +Section 7 +========================================================================================= +OCCUPATIONAL INJURIES AND ILLNESSES INCIDENCES RATE DATA (HS) +DATABASE ELEMENTS + + +Data Element Length Value(Example) Description + +begin_period 3 A01=Annual Identifies first data observation + within the first year for which + data is available for a given + time series. + +begin_year 4 YYYY Identifies first year for which + Ex: 1980 data is available for a given + time series. + +case_type_code 1 1 Code identifying type of cases + to which the incidence rate + applies. + +case_type_text 55 Text Name identifying the type of + Ex: Injury, illness cases to which the incidence + rate refers. + +data_type_code 1 1 Code identifying the data type + to which the incidence rate + refers. + +data_type_text 30 Text Name identifying the data type + to which the incidence rate + refers. + +division_code 2 09 Code identifying the major + industry divisions. + +division_name 50 Text Name of the major industry + Ex: Services division. + +end_period 3 A01=Annual Identifies last data observation + within the last year for which + data is available for a given + time series. + +end_year 4 YYYY Identifies last year for which + Ex: 1980 data is available for a given + time series. + +footnote_codes 10 It varies Identifies footnotes for the data + series. + +industry_code 4 0100 SIC code identifying industry. + +industry_name 50 Text Name of industry to which data + pertain. + +period_abbr 5 Period name Abbreviation of period name. + abbreviation + Ex: A01 + +period 3 A01=Annual Identifies period for which + data is observed. + +period_name 20 Text Full name of period to which + Ex: Annual the data observation refers. + +series_id 17 HSU00000001 Code identifying the specific + series. + +value 12 Data value Observation for the series. + +year 4 YYYY Identifies year of observation. + Ex: 1990 + + + + + + + + \ No newline at end of file diff --git a/bls/hs/hs_case_type.parquet b/bls/hs/hs_case_type.parquet new file mode 100644 index 0000000000000000000000000000000000000000..11c4fc1feae3aa4331a495f0b7a0261d7fefbfad --- /dev/null +++ b/bls/hs/hs_case_type.parquet 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0000000000000000000000000000000000000000..f7a0276eb1d0f1c41e5635e5e783aacd1af954a7 --- /dev/null +++ b/bls/hs/hs_period.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c130bf08d37d60d0705d3be87a7bb3f15a239eb5bc6e85c7c4c0226820a76032 +size 2229 diff --git a/bls/hs/hs_series.parquet b/bls/hs/hs_series.parquet new file mode 100644 index 0000000000000000000000000000000000000000..d61602e619d4649647278327af9d4bafea85d9fe --- /dev/null +++ b/bls/hs/hs_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4bc779063a88fa75b095064aa5fa5cc322837e98861f788f83512445cb92b92f +size 10797 diff --git a/bls/ii/README.md b/bls/ii/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e9c4a8473ffa35d136d1eb99ea4623affa8655a2 --- /dev/null +++ b/bls/ii/README.md @@ -0,0 +1,20 @@ +# BLS survey `ii` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/ii/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `ii.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 | +|---|---|---| +| ii.area | 237 | area_code, area_name, display_level, selectable, sort_sequence | +| ii.case_type | 20 | case_type_code, case_type_text | +| ii.contacts | 55 | Safety, Health, and Working Conditions Contacts | +| ii.data.1.AllData | 3085536 | series_id, year, period, value, footnote_codes | +| ii.data_type | 36 | data_type_code, data_type_text | +| ii.footnote | 5 | footnote_code, footnote_text | +| ii.industry | 1388 | supersector_code, industry_code, industry_name, display_level, selectable, sort_sequence | +| ii.seasonal | 2 | seasonal_code, seasonal_text | +| ii.series | 864870 | series_id, supersector_code, industry_code, data_type_code, case_type_code, area_code, footnote_codes, begin_year, begin_period, end_year, end_period | +| ii.supersector | 14 | supersector_code, supersector_name, display_level, selectable, sort_sequence | diff --git a/bls/ii/ii.txt b/bls/ii/ii.txt new file mode 100644 index 0000000000000000000000000000000000000000..499d93f228ea54e3d7bda62cc0fd42eae906e71e --- /dev/null +++ b/bls/ii/ii.txt @@ -0,0 +1,424 @@ + Occupational Injuries and Illnesses Industry Data (II) + ii.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 + INDUSTRY DATA (II) + +Survey Description: Occupational injury and illness counts and incidence rates +are annual measures of the level and frequency of work-related injuries and +illnesses. The rate equals the form of the number of injuries and illnesses +per 100 full-time employees. + +Data collected through the annual survey are based on records which employers +maintain under the Occupational Safety and Health Act. Data include all cases +resulting from accidents or exposure in the work environment that result in a +nonfatal illness or injury. Some of these cases involve lost work time-- the +incident may result in a work absence, restriction of work or motion, or +transfer to another job. Other recordable cases do not involve any lost days. +Recordkeeping guidelines are maintained by the Occupational Safety and Health +Administration. + +Virtually the entire private sector is covered by the survey, except +self-employed individuals, farms with fewer than 11 employees, and employers +regulated by other Federal safety and health laws. National estimates +exclude Federal, State, and local government agencies, but data for selected +States include State and local government. Data conforming to definitions of +recordable occupational injuries and illnesses for coal, metal and nonmetal +mining, and railroad transportation are provided by the Mine Safety and Health +Administration, U.S. Department of Labor, and the Federal Railroad Administration, +U.S. Department of Transportation. + +The incidence rates are produced for industries which are based on the 2002 +North American Industry Classification System (NAICS). The survey sample design +uses stratified random sample with a Neyman allocation. The characteristics used +to stratify the units are the States, NAICS code, and employment. The data for all +reporting units in each industry are expanded by the inverse of the sampling +ratio, and benchmarked to the appropriate employment level in each industry. +Reports are collected from about 180,000 sample units. + +Summary Data Available: Incidence rates and counts are calculated for three +categories for total recordable cases: (1) injury and illness combined, +(2) injury only; and (3) illness only. + +Additionally, estimates of incidence rates and case counts are also available +for various severity classifications. For each injuries and illnesses in each +industry, the incidence rates and numbers of cases are available for total nonfatal +recordable cases; cases with days away from work, job transfer or restriction; +cases with days away from work; cases with job transfer or restriction only; and +other recordable cases. + +Data also include rates and numbers of cases, by various illness categories: +skin diseases or disorders, respiratory conditions, poisonings, and all other +illnesses. + +Data for an unpublished industry were included in the total for the broader +industry level of which it is a part. + +Calculation of Incidence Rates: + + The incidence rates represent the number of injuries and/or + illnesses per 100 full-time workers and were calculated as: + + (N/EH) x 200,000 (20,000,000 for illness rates). + + where: + + N = number of injuries and/or illnesses. + + EH = total hours worked by all employees during the calendar year. + + 200,000 = base for 100 full-time equivalent workers + (working 40 hours/week, 50 weeks/year). + + 20,000,000 =base for 10,000 full-time equivalent workers + (working 40 hours/week, 50 weeks/year). + + +Frequency of Observations: All data are annual. + +Data Characteristics: Rates are stored to one decimal place. Number of cases are + in thousands. + + +References: BLS Handbook of Methods, Chapter 9, "Occupational Safety + and Health Statistics", 1997 edition. + +================================================================================== +Section 2 +================================================================================== +The following Occupational Injuries and Illnesses Industry Data files are on the +BLS internet in the sub-directory pub/time.series/ii: + + ii.area - Area codes mapping file + ii.case.type - Case type codes mapping file + ii.contacts - Contacts for II survey + ii.data.1.AllData - All data + ii.data.type - Data type codes mapping file + ii.footnote - Footnote codes mapping file + ii.industry - Industry codes mapping file + ii.period - Period codes mapping file + ii.series - All series and their beginning and end dates + ii.supersector - All supersector codes mapping file + ii.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 +ii.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 IIU00000000001100 + +2. supersector_code 3 000 + +3. industry_code 6 000000 + +4. data_type_code 1 0 + +5. case_type_code 1 1 + +6. area_code 3 100 + +6. begin_year 4 2000 + +7. begin_period 3 A01 + +8. end_year 4 2003 + +9. end_period 3 A01 + + +The series_id (IIU00000000001100) can be broken out into: + +Code Value + +survey abbreviation = II +seasonal (code) = U +supersector_code = 000 +industry_code = 000000 +data_type_code = 0 +case_type_code = 1 +area_code = 100 +================================================================================== +Section 5 +================================================================================== +File Structure and Format: The following represents the file format used to define +each data file. Note that the field numbers are for reference only; they do not +exist in the database. Data files are in ASCII text format. Data elements are +separated by tabs; the first record of each file contains the column headers for +the data elements stored in each field. Each record ends with a new line character. + +File Name: ii.data.1.AllData + +The above-named data file has the following format: + +Field #/Data Element Length Value(Example) + +1. series_id 17 IIU00000000001100 + +2. year 4 2003 + +3. period 3 A01 + +4. value 12 0.4 + +5. footnote_codes 10 It varies + +The series_id (IIU00000000001100) can be broken out into: + +Code Value + +survey abbreviation = II +seasonal (code) = U +supersector_code = 000 +industry_code = 000000 +data_type_code = 0 +case_type_code = 1 +area_code = 100 +================================================================================ +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: ii.area + +Field #/Data Element Length Value(Example) + +1. area_code 3 100 + +2. area_name 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00000 + + +File Name: ii.case.type + +Field #/Data Element Length Value(Example) + +1. case_type_code 1 1 + +2. case_type_text 100 Text + + +File Name: ii.data.type + +Field #/Data Element Length Value(Example) + +1. data_type_code 1 3 + +2. data_type_text 100 Text + + +File Name: ii.footnote + +Field #/Data Element Length Value(Example) + +1. footnote_code 1 C + +2. footnote_text 100 Text + + +File Name: ii.industry + +Field #/Data Element Length Value(Example) + +1. supersector_code 3 000 + +2. industry_code 6 000000 + +3. industry_name 100 Text + +4. display_level 2 0 + +5. selectable 1 T + +6. sort_sequence 5 00001 + + +File Name: ii.period + +Field #/Data Element Length Value(Example) + +1. period 3 A01 + +2. period_abbr 5 ANN + +3. period_name 20 Text + + +File Name: ii.supersector + +Field #/Data Element Length Value(Example) + +1. supersector_code 3 000 + +2. supersector_name 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 +========================================================================================= +Section 7 +========================================================================================= +OCCUPATIONAL INJURIES AND ILLNESSES INDUSTRY DATA (II) +DATABASE ELEMENTS + + +Data Element Length Value(Example) Description + +area_code 3 100 Unique code used to identify + a specific geographic area. + +area_name 100 Text Name of specific geographic + Ex.Private Industry, area. + National + +begin_period 3 A01=Annual Identifies first observation + of data series by frequency + and period. + +begin_year 4 YYYY Identifies earliest year for + Ex: 1985 which data series is available. + +case_type_code 1 Ex: T=Total recordable Code identifying type of cases + cases of poisoning to which the incidence rate + applies. + +case_type_text 100 Text Name identifying the type of + Ex: Injury,illness cases to which the incidence + rate refers. + +data_type_code 1 Ex: 1=Rate of injury Code identifying the data type + cases per 100 to which the incidence rate + full-time workers refers. + +data_type_text 100 Text Name identifying the data + Ex: Lost workdays type to which the incidence + rate refers. + +end_period 3 A01=Annual Identifies last observation + of data series by frequency + and period. + +end_year 4 YYYY Identifies latest year for + Ex: 1990 which data are available. + +footnote_code 1 C Identifies footnote for the data + series. + +footnote_codes 10 It varies Identifies footnotes for the data + series. + +footnote_text 100 Text Contains the text of the footnote. + +industry_code 6 Ex:000000=All NAICS code identifying industry. + Workers + +industry_name 100 Text Name of industry to which data + Ex: Mining pertain. + +period_abbr 5 Period name Abbreviation of period name. + abbreviation + Ex: ANN + +period 3 A01=Annual Identifies period for which + data is observed. + +period_name 20 Text Full name of period to which the + Ex: Annual data observation refers. + +rounded 1 N=Not rounded to 0 Code indicating if "0" value is + Y=Rounded to 0 the result of rounding. + +series_id 17 Code series identifier Code identifying the specific series. + Ex: IIU00000000001100 + +supersector_code 3 000 Unique code use to identify the + supersectors. + +supersector_name 100 Text Name identifying the type of supersector. + + +value 12 Data value Industry Data. + Ex: 0.4 + +year 4 YYYY Identifies year of observation. + Ex: 1990 + + + + + + + + + \ No newline at end of file diff --git a/bls/ii/ii_area.parquet b/bls/ii/ii_area.parquet new file mode 100644 index 0000000000000000000000000000000000000000..c4eee2aa96bc9cd410d930cbd58e5d59ff361c9f --- /dev/null +++ b/bls/ii/ii_area.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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0000000000000000000000000000000000000000..87f8c351c35e44a59070621bf2db8623f3ecbcab --- /dev/null +++ b/bls/ii/ii_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b400ecf2667e27f2768aa18f92a02d1cc59b5e8b5fb76d4b4e6577bbf42032dd +size 1551513 diff --git a/bls/ii/ii_supersector.parquet b/bls/ii/ii_supersector.parquet new file mode 100644 index 0000000000000000000000000000000000000000..5032f443435fd1341b10492e2c942707c66bb969 --- /dev/null +++ b/bls/ii/ii_supersector.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b4062b87a8ba8a6a0fab227886ba2ffa482195efb34f180ed43c65b2f14cd8b1 +size 3733 diff --git a/bls/in/README.md b/bls/in/README.md new file mode 100644 index 0000000000000000000000000000000000000000..71e269769e976051436edaac895e182555b0f324 --- /dev/null +++ b/bls/in/README.md @@ -0,0 +1,21 @@ +# BLS survey `in` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/in/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `in.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 | +|---|---|---| +| in.contacts | 16 | International Labor Comparisons Contacts | +| in.country | 36 | country_code, country_text | +| in.data.1.AllData | 65707 | series_id, year, period, value, footnote_codes | +| in.economicgroup | 6 | economicgroup_code, economicgroup_text | +| in.economicseries | 82 | economicseries_code, economicseries_text | +| in.footnote | 1 | footnote_code, footnote_text | +| in.industry | 34 | industry_code, industry_text, display_level, selectable, sort_sequence | +| in.period | 4 | A01, ANN, Annual | +| in.periodicity | 3 | periodicity_code, periodicity_text | +| in.seasonal | 2 | seasonal_code, seasonal_text | +| in.series | 3930 | series_id, seasonal, economicseries_code, industry_code, country_code, economicgroup_code, periodicity_code, footnote_codes, begin_year, begin_period, end_year, end_period | diff --git a/bls/in/in.txt b/bls/in/in.txt new file mode 100644 index 0000000000000000000000000000000000000000..549b7ab02a0d341eaa847b86de93499093ec044d --- /dev/null +++ b/bls/in/in.txt @@ -0,0 +1,452 @@ + International Labor Statistics (IN) + in.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 + +(To print, set page layout to portrait with half inch side margins and set the font +to a non-proportional font, such as courier or courier new.) + +================================================================================ +Section 1 +================================================================================ + +The following is a definition of: INTERNATIONAL LABOR STATISTICS (IN) + +Survey Description: The Bureau of Labor Statistics (BLS) collects and publishes +statistical information to compare labor conditions and developments in the United States +and selected foreign economies. All of the measures are based on data from the +statistical agencies of the foreign economies covered or from international +organizations. The Bureau does not initiate surveys or data collection programs abroad. + +The statistical concepts and methods used in different countries are developed primarily +to meet domestic rather than international needs. When there are substantial conceptual +differences, BLS adjusts the data to improve comparability or describes the differences +so users will not draw misleading conclusions. In adjusting data for greater +comparability, BLS must depend on the availability of relevant information, and in some +instances it is necessary to make estimates based on incomplete data. Therefore it is +possible to achieve only approximate statistical comparability among countries. + +The following are summary descriptions of the three general International Labor +Statistics (IN) series available on LABSTAT: labor force, productivity, and consumer +price indexes (CPI). Adjustments for comparability of concepts are made for the first +two series. For the CPI, however, no adjustments are made except to convert the indexes +to a common base year. + +Labor Force + +Labor force, employment, unemployment, and related measures are adjusted as closely as +possible to U.S. concepts, with the exception of lower age limits and the treatment of +layoffs, for which no adjustments are made. In addition, for some countries, no +adjustment is made for deviations from U.S. concepts in the treatment of unpaid family +workers, persons waiting to start a new job, and passive job seekers (for example, +persons only reading newspaper ads as their method of job search). In the United States, +job search must be "active," such as placing or answering advertisements, and simply +reading ads is not enough to qualify as active search. Canada and the European countries +classify passive jobseekers as unemployed. An adjustment is made to exclude them in +Canada, but not in the European countries where the phenomenon is less prevalent. These +"unadjusted" differences are believed to have a negligible effect on the comparisons. + +Measures shown are on a civilian basis, and the population figures used to compute the +employment to population ratios and labor force participation rates refer to the working- +age population. Labor force, employment, unemployment, and related measures for Canada +are the official adjusted to U.S. concepts figures prepared by Statistics Canada; the +adjusted measures for all other countries are computed by BLS. No adjustments are made +for Australia. Annual measures are currently obtained from monthly or quarterly +household surveys for all countries. Quarterly unemployment rates for most countries are +also derived from labor force surveys. For some countries, quarterly rates are +calculated by applying annual adjustment factors to current administrative data and +therefore should be viewed as less precise indicators of unemployment under U.S. concepts +than the annual figures. For up to date information on adjustments and breaks in series, +see the Country Notes of "Comparative Civilian Labor Force Statistics, Ten Countries" at +ftp://ftp.bls.gov/pub/special.requests/ForeignLabor/flslforc.txt. + +Productivity + +Indexes of manufacturing productivity, unit labor costs, and related measures are +computed using basic series on manufacturing output, aggregate labor input, and aggregate +compensation. Labor productivity is defined as real output per hour worked. Unit labor +costs are defined as the cost of labor input required to produce one unit of output. +They are computed as compensation in nominal terms divided by real output. The Bureau of +Labor Statistics constructs trends of manufacturing labor productivity, hourly +compensation costs, and unit labor costs from three basic aggregate measures - output, +total labor hours, and total compensation. The hours and compensation measures refer to +employees (wage and salary earners) in Belgium and Taiwan. For all other economies, the +measures refer to all employed persons, including employees, self-employed persons, and +unpaid family workers. For all of the economies, the term "hours" refers to hours worked. + +In general, the measures relate to total manufacturing as defined by the International +Standard Industrial Classification (ISIC). For the United States and Canada the +definition followed is that of the North American Industry Classification System (NAICS). +The measures for France include parts of mining. For most countries, data for the most +recent years are based on the United Nations System of National Accounts 1993 (SNA 93). +For other countries and years, data were compiled according to previously used systems. +To obtain historical time series, BLS may link together data series which were compiled +and published according to different accounting systems by the countries' statistical +agencies. + +For most countries, the output measures are real value added in manufacturing from +national accounts. However, output for Japan prior to 1970 and for the Netherlands prior +to 1960 are indexes of industrial production. The manufacturing value added measures for +the United Kingdom are essentially identical to their indexes of industrial production. +The output measure for manufacturing in the United States is the chain-weighted index of +real gross product originating (deflated value added), introduced by the Bureau of +Economic Analysis (BEA) of the U.S. Department of Commerce in August 1996. Because these +value added output data for U.S. manufacturing industries are not available for years +prior to 1977, the comparative U.S. measures of output, output per hour, and unit labor +costs begin with 1977. + +Hours worked data are used to measure labor input for productivity. For the United +States, the hours worked data are taken from the BLS major sector productivity program. +The aggregate hours worked series used for France (from 1970 forward), Canada, Denmark, +Norway, and Sweden are series published with the national accounts. For the former West +Germany after 1959 and Germany from 1991, BLS uses aggregate hours worked, which were +developed by a research institute of the German Ministry of Labor for use with the +national accounts employment figures. For the United Kingdom from 1992, an annual index +of total manufacturing hours is used. For all other countries, the U.K. before 1992, and +the former West Germany before 1959, BLS constructs its own estimates of aggregate hours, +using employment figures published with the national accounts, or other comprehensive +employment series, and estimates of average annual hours worked. The Italian hours +worked series is based on estimates by the Bank of Italy. + +The compensation (labor cost) measures are from national accounts data. Compensation +includes employer expenditures for legally required insurance programs and contractual +and private benefit plans, in addition to all payments made in cash or in kind directly +to employees. When data for the self-employed are not available, total compensation is +estimated by assuming the same average compensation for the self-employed as for +employees. Labor cost is defined as compensation plus employment taxes minus employment +subsidies, i.e. the cost to employers of hiring labor. For most countries labor cost is +the same as compensation. However, for Australia, Canada, France, and Sweden, +compensation is increased to account for important taxes on payroll or employment. For +the United Kingdom, compensation is reduced between 1967 and 1991 to account for +subsidies. + +Consumer Price Indexes + +The consumer price indexes are the official indexes of each country. They reflect price +changes in the market basket of goods and services purchased by the whole population or +by a particular population group. Two indexes are included for Italy and the +Netherlands. The indexes relate to the whole population for Australia, Austria, Belgium, +Canada, Denmark, France, Germany, Italy (index 1), Japan (except agricultural and single +person households), Norway, Sweden, Switzerland, and the United Kingdom (except pensioner +and high income households); middle-income worker households in Italy (index 2) and +Spain, and urban consumers in the United States. No adjustments are made except to +convert them to a common base. In particular, adjustments are not made for differences +in the treatment of homeownership costs or seasonal foods. + +Summary Data Available: The LABSTAT database provides data prepared by the Division of +Foreign Labor Statistics. + +Labor force, employment, unemployment, and related statistics, adjusted to approximate +U.S. concepts, are available on an annual basis for ten countries beginning with 1959, +except for Australia (1964) and the Netherlands (1973); unemployment rates are available +on a quarterly basis, seasonally adjusted, for nine countries for the most recent +quarters of the present year and two prior years. Data for Germany after unification +begin with 1991; data for the former West Germany end with 1990. + +Indexes of manufacturing productivity, labor costs, and related measures are available on +an annual basis for 15 economies, in most cases, beginning with 1950. Separate index +series are calculated for Germany and for the former West Germany. Data for Germany after +unification begin with 1991; data for the former West Germany end with 1998. + +Consumer price indexes for all items are available on an annual basis usually beginning +with 1950 for 16 countries. Data for Germany after unification begin with 1991; data for +the former West Germany are not available online. + +Frequency of Observations: Data are annual and quarterly for the unemployment rates, and +annual for all other series. + +Data Characteristics: The International Labor Statistics include indexes, rates or +ratios, and quantity levels. The type of measure is indicated in the series title. + + * Indexes are stored to one decimal place. + * Index bases for consumer prices are 1982-84 = 100. + * Index bases for manufacturing productivity, labor costs, and + related measures are 1992 = 100. + * Rates and ratios are expressed as percents with one decimal place. + * Quantity levels are measured in thousands (e.g. civilian + labor force) and are stored with no decimal places. + +Updating Schedule: The three general series groups are updated according to the +following approximate schedules: + + * Labor force statistics are updated once or twice yearly; + Seasonally adjusted quarterly unemployment rates are + updated quarterly. + * Indexes of manufacturing productivity, labor costs, and related + measures are updated twice a year. + * Consumer price indexes are updated annually. + +References: BLS Handbook of Methods, Chapter 12. + +================================================================================== +Section 2 +================================================================================== +The following International Labor Statistics files are on the BLS internet in the +sub-directory pub/time.series/in: + + in.contacts - Contacts for in survey + in.country - Country codes mapping file + in.data.0.Current - All current year-to-date data + in.data.1.AllData - All data + in.group - Group codes mapping file + in.period - Period codes mapping file + in.series - All series and their beginning and end dates + in.suffix - Type codes mapping file + in.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 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 and Q05 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 +in.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 INS0022AU0 + +2. group_code 4 0022 + +3. country_code 2 AU + +4. suffix_code 1 1 + +5. seasonal 1 S + +6. begin_year 4 1990 + +7. begin_period 3 Q01 + +8. end_year 4 2000 + +9. end_period 3 Q04 + + +The series_id (INS0022AU0) can be broken out into: + +Code Value + +survey abbreviation = IN +seasonal (code) = S +group_code = 0022 +country_code = AU +suffix_code = 0 + +================================================================================== +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 in.data file is partitioned into two separate files: + + 1. in.data.0.Current - All current year-to-date data + 2. in.data.1.AllData - All data + +Both of the above-named data files have the following format: + +Field #/Data Element Length Value(Example) + +1. series_id 17 INS0022AU0 + +2. year 4 1995 + +3. period 3 Q01 + +4. value 12 8.8 + +5. footnote_codes 10 It varies + + +The series_id (INS0022AU0) can be broken out into: + +Code Value + +survey abbreviation = IN +seasonal (code) = S +group_code = 0022 +country_code = AU +suffix_code = 0 + +================================================================================ +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: in.country + +Field #/Data Element Length Value(Example) + +1. country_code 2 AT + +2. country_name 20 Text + + +File Name: in.group + +Field #/Data Element Length Value(Example) + +1. group_code 4 0002 + +2. group_name 60 Text + + +File Name: in.period + +Field #/Data Element Length Value(Example) + +1. period 3 Q01 + +2. period_abbr 5 JAN + +3. period_name 20 Text + + +File Name: in.suffix + +Field #/Data Element Length Value(Example) + +1. suffix_code 1 1 + +2. suffix_text 90 Text + +========================================================================================= +Section 7 +========================================================================================= +INTERNATIONAL LABOR STATISTICS (IN) DATABASE ELEMENTS + + +Data Element Length Value(Example) Description + +begin_period 3 A01 Identifies first data observation + or Q01-Q05 within the first year for which + Ex: QO1=First data is available for a given + quarter time series. + (A=Annually, + Q=Quarterly, + Q05=Annual Avg) + +begin_year 4 YYYY Identifies first year for which + Ex: 1975 data is available for a given + time series. + +country_code 2 AT Code identifying the country + to which the data refer. + +country_name 20 Text Name of the country to which + Ex: Austria the data refer. + +end_period 3 A01, Identifies last data observation + or Q01-Q05 within the last year for which + Ex: Q01=First data is available for a given + quarter time series. + (A=Annually, + Q=Quarterly, + Q05=Annual Avg) + +end_year 4 YYYY Identifies last year for which + Ex: 1980 data is available for a given + time series. + +footnote_codes 10 It varies Identifies footnotes for the + data series. + +group_code 4 0002 Code identifying type of + data in the series. + +group_name 60 Text Name of type of data in the + Ex: Unemployment series. + Rate + +period_abbr 5 Period name Abbreviation of period name. + abbreviation + Ex: QTR1 + +period 3 A01, Identifies period for which + or Q01-Q05 data is observed. + (A=Annually, + Q=Quarterly, + Q05=Annual Avg) + Ex: Q01=First quarter + +period_name 20 Text Full name of period to which + Ex: June the data observation refers. + +seasonal 1 S=Seasonally Code identifying whether the + Adjusted data are seasonally adjusted. + U=Unadjusted + +series_id 17 INS0022AU0 Code identifying the specific + series. + +suffix_code 1 1 Code identifying a subgroup + or status of the data series. + +suffix_text 90 Text Description of the suffix + Ex: All code. + Households(CPI) + +value 12 Index,rate,or Data observation. + quantity Ex: 8.8 + +year 4 YYYY Identifies year of observation. + Ex: 1990 + diff --git a/bls/in/in_contacts.parquet b/bls/in/in_contacts.parquet new file mode 100644 index 0000000000000000000000000000000000000000..a802e1ca0a9f32bf4409be0f0f0d8b0ec2ebd246 --- /dev/null +++ b/bls/in/in_contacts.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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sha256:813764051a6d6432b33797fcd21786b47f80e97f4a1ad8fb03adc13b89dd1461 +size 1787 diff --git a/bls/in/in_industry.parquet b/bls/in/in_industry.parquet new file mode 100644 index 0000000000000000000000000000000000000000..26f65d2cee23b1d04257b90e83cf7ae4e74f57e6 --- /dev/null +++ b/bls/in/in_industry.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6219b1b29291e96f74190a3683d008912621a1c01d996e9f9e951b3d961b4c9e +size 4087 diff --git a/bls/in/in_period.parquet b/bls/in/in_period.parquet new file mode 100644 index 0000000000000000000000000000000000000000..3b4abf79a1f0a75ccaceb8100b0a55c6aa1fc5c9 --- /dev/null +++ b/bls/in/in_period.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:826c720a464b89d8a156f82e129a9c73c99776765ac509dd343030a4da700182 +size 2200 diff --git a/bls/in/in_periodicity.parquet b/bls/in/in_periodicity.parquet new file mode 100644 index 0000000000000000000000000000000000000000..d25496e59920062f9fb1f821a4d8304834ef39c9 --- /dev/null +++ b/bls/in/in_periodicity.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1beabe31b5ee8ef99a1dd3c8874767a2c3f7cb046686e62202eb0edd4875f91f +size 1817 diff --git a/bls/in/in_seasonal.parquet b/bls/in/in_seasonal.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f9a2f1fd0d823051faf42f36765638a3afad1c6f --- /dev/null +++ b/bls/in/in_seasonal.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a60b694ad35d825ec374b3fd8125a96c3feac221d8b94eabf894653aa641fbe9 +size 1858 diff --git a/bls/in/in_series.parquet b/bls/in/in_series.parquet new file mode 100644 index 0000000000000000000000000000000000000000..e5d714606ef1018b67ee193639b7243682ab3af3 --- /dev/null +++ b/bls/in/in_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e754664203cda78f45296df6e362b0f5aff71ba7cb09969526dd5beb18ebc0e9 +size 19504 diff --git a/bls/ip/README.md b/bls/ip/README.md new file mode 100644 index 0000000000000000000000000000000000000000..dd225d5fdea7ac02b61764e1ad25d9d25bbfecaa --- /dev/null +++ b/bls/ip/README.md @@ -0,0 +1,21 @@ +# BLS survey `ip` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/ip/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `ip.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 | +|---|---|---| +| ip.area | 56 | area_code, area_text, display_level, selectable, sort_sequence | +| ip.contacts | 10 | Productivity Contacts | +| ip.data.1.AllData | 752508 | series_id, year, period, value, footnote_codes | +| ip.duration | 2 | duration_code, duration_text | +| ip.footnote | 1 | footnote_code, footnote_text | +| ip.industry | 803 | industry_code, naics_code, industry_text, display_level, selectable, sort_sequence | +| ip.measure | 38 | measure_code, measure_text, display_level, selectable, sort_sequence | +| ip.seasonal | 2 | seasonal_code, seasonal_text | +| ip.sector | 21 | sector_code, sector_text | +| ip.series | 21072 | series_id, seasonal, sector_code, industry_code, measure_code, duration_code, base_year, type_code, area_code, series_title, footnote_codes, begin_year, begin_period, end_year, end_period | +| ip.type | 6 | type_code, type_text | diff --git a/bls/ip/ip.txt b/bls/ip/ip.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a25fbf329efcea13cef3b5f132463e531e97f73 --- /dev/null +++ b/bls/ip/ip.txt @@ -0,0 +1,396 @@ + Industry Productivity(IP) + ip.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: INDUSTRY PRODUCTIVITY (IP) + +Survey Description: The Industry Productivity program produces annual measures of labor +productivity (output per hour), unit labor costs, and related series for a select group +of U.S. industries. + +Time Series Available: Indexes and annual percent changes are available by industry for +labor productivity (output per hour), output per worker, real sectoral output, sectoral +output price deflator, hours worked, employment, labor compensation, and unit labor +costs. Level data underlying the productivity and cost measures - including sectoral +output, labor compensation, hours worked, and employment - also are available. + +Frequency of Observations: Series are available on an annual basis, and therefore, are +not seasonally adjusted. For most industries, the indexes begin in 1987 and annual +percent change time-series begin in 1988. + +Base Periods: The base period for the industry productivity and related +indexes is 2012 = 100. + +Update Schedule: Updates are performed periodically throughout the year as source data +become available. Typically, updates are announced through 3 to 4 news releases each +year, with each news release covering industries in a different sector or combination +of sectors, such that all industries are updated at least once a year. + +Reference: BLS Handbook of Methods, "Industry Productivity Measures" +(see: https://www.bls.gov/opub/hom/inp/home.htm). + +========================================================================================= +Section 2 +========================================================================================= +The following Industry Productivity files are on the BLS +internet in the sub-directory pub/time.series/ip: + + + ip.area - Area codes mapping file + ip.contacts - Contacts for IP survey + ip.data.0.Current - All current year-to-date data + ip.data.1.AllData - All data + ip.duration - Duration codes mapping file + ip.footnote - Footnotes mapping file + ip.industry - Industry codes mapping file + ip.measure - Measure codes mapping file + ip.seasonal - Seasonal codes mapping file + ip.sector - Title codes mapping file + ip.series - All series and their beginning and end dates + ip.txt - General information + ip.type - Series type codes mapping file + +========================================================================================= +Section 3 +========================================================================================= +The definition of a time series, its relationship to and the interrelationship among +series, data and mapping files is detailed below: + +A time series refers to a set of data observed over an extended period of time over +consistent time intervals (i.e. monthly, quarterly, semi-annually, annually). BLS time +series data are typically produced at monthly intervals and represent data ranging from +a specific consumer item in a specific geographical area whose price is gathered +monthly to a category of worker in a specific industry whose employment rate is being +recorded monthly, etc. + +The download.bls.gov files are organized such that data users are provided with the +following set of files to use in their efforts to interpret data files: + +a) a series file (only one series file per survey) +b) mapping files +c) data files + +The series file contains a set of codes which, together, compose a series identification +code that serves to uniquely identify a single time series. Additionally, the series file +also contains the following series-level information: + +a) the period and year corresponding to the first data observation +b) the period and year corresponding to the most recent data observation. + +The mapping files are definition files that contain explanatory text descriptions that +correspond to each of the various codes contained within each series identification code. + +The data file contains one line of data for each observation period pertaining to a +specific time series. Each line contains a reference to the following: + +a) a series identification code +b) year in which data is observed +c) period for which data is observed (M13, Q05, and S03 indicate annual averages) +d) value +e) footnote codes (if available) + +========================================================================================= +Section 4 +========================================================================================= +File Structure and Format: The following represents the file format used to define +ip.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 21 IPUBN2111__L000000000 + +2. seasonal 1 U + +3. sector_code 1 B + +4. industry_code 7 N211___ + +5. measure_code 3 L00 + +6. duration_code 1 0 + +7. base_year 4 1997 + +8. type_code 1 I + +9. area_code 6 000000 + +10. series_title 256 Text + +11. footnote_codes 1 e + +12. begin_year 4 1987 + +13. begin_period 3 A01 + +14. end_year 4 2021 + +15. end_period 3 A01 + + +The series_id (IPUBN2111__L000000000) can be broken out into: + +Code Value + +survey abbreviation = IP +seasonal (code) = U +sector_code = B +industry_code = N211___ +measure_code = L00 +duration_code = 0 +area_code = 000000 + +========================================================================================= +Section 5 +========================================================================================= +File Structure and Format: The following represents the file format used to define each +data file. Note that the field numbers are for reference only; they do not exist in the +database. Data files are in ASCII text format. Data elements are separated by 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 ip.data file is partitioned into two separate files: + + 1. ip.data.0.Current - All current year-to-date + 2. ip.data.1.AllData - All data + +The above-named data files have the following format: + +Field #/Data Element Length Value(Example) + +1. series_id 21 IPUBN2111__L000000000 + +2. year 4 2001 + +3. period 3 A01 + +4. value 12 116.6 + +5. footnote_codes 1 It varies + +The series_id (IPUBN2111__L000000000) can be broken out into: + +Code Value + +survey abbreviation = IP +seasonal (code) = U +sector_code = B +industry_code = N211___ +measure_code = L00 +duration_code = 0 +area_code = 000000 + +========================================================================================= +Section 6 +========================================================================================= +File Structure and Format: The following represents the file format used to define each +mapping file. Note that the field numbers are for reference only; they do not exist in +the database. Mapping files are in ASCII text format. Data elements are separated by +tabs; the first record of each file contains the column headers for the data elements +stored in each field. Each record ends with a new line character. + +File Name: ip.area + +Field #/Data Element Length Value(Example) + +1. area_code 6 000000 + +2. area_text 100 Text + +3. display_level 2 1 + +4. selectable 1 T + +5. sort_sequence 5 1 + + +File Name: ip.duration + +Field #/Data Element Length Value(Example) + +1. duration_code 1 1 + +2. duration_text 100 Text + + +File Name: ip.footnote + +Field #/Data Element Length Value(Example) + +1. footnote_code 1 e + +2. footnote_text 200 Text + + +File Name: ip.industry + +Field #/Data Element Length Value(Example) + +1. industry_code 7 N211___ + +2. naics_code 50 211 + +3. industry_text 100 Text + +4. display_level 2 0 + +5. selectable 1 T + +6. sort_sequence 5 1 + + +File Name: ip.measure + +Field #/Data Element Length Value(Example) + +1. measure_code 3 L00 + +2. measure_text 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 1 + + +File Name: ip.seasonal + +Field #/Data Element Length Value(Example) + +1. seasonal 1 U + +2. seasonal_text 100 Text + + +File Name: ip.sector + +Field #/Data Element Length Value(Example) + +1. sector_code 1 B + +2. sector_text 100 Text + + +File Name: ip.type + +Field #/Data Element Length Value(Example) + +1. type_code 1 E + +2. type_text 100 Text + +========================================================================================= +Section 7 +========================================================================================= +INDUSTRY PRODUCTIVITY (IP) DATABASE ELEMENTS + +Data Element Length Value(Example) Description + +area_code 6 000000 Unique code used to identify a + specific geographic area. + +area_text 100 Text Name of specific geographic area. + Ex: U.S. Total + +base_year 4 YYYY The actual base period used in + Ex. 2012 calculating the index. + +begin_period 3 A01 or Q01-Q05 Identifies first data + Ex: Q01=1st Quarter observation within the first + (Q=Quarterly,Q05= year for which data is available + Annual Avg, A=Annually) for a given time series. + +begin_year 4 YYYY Identifies first year for which + Ex: 1948 data is available for a given + time series. + +display_level 5 Ex: 1 Identifies hierarchical data + for use in displays. + +duration_code 1 Ex: 1 Code identifying the type of + index. + +duration_text 100 Text Name of type of index. + Ex: % Change year ago + +end_period 3 A01 or Q01-Q05 Identifies last data observation + Ex: A01=Annual within the last year for which + (Q=Quarterly,Q05= data is available for a given + Annual Avg, A=Annually) time series. + +end_year 4 YYYY Identifies last year for which + Ex: 2001 data is available for a given + time period. + +footnote_code 1 It varies Code identifying the footnote + +footnote_codes 10 It varies Identifies one or multiple + footnotes for the data series. + +footnote_text 200 It varies Description of footnote. + +industry_code 7 Ex. N211___ Code identifying industry. + +industry_text 100 Text Name of industry. + Ex. Mining + +measure_code 3 Ex: L00 Identifies specific factor + measured by the index. + +measure_text 100 Text Name of specific factor + Ex: Labor productivity measured in the index. + +seasonal 1 Ex: S=Seasonally Code identifying whether + Adjusted the data are seasonally + U=Unadjusted adjusted. + +seasonal_text 100 Text Description of seasonal + Ex: Not Seasonally adjustment used, if any. + Adjusted + +sector_code 1 Text Unique code identifying the + Ex: B sector of economy to which + data refer. + +sector_text 100 Text Name of economic sector to + Ex: Mining which data refer. + +selectable 1 T=True F=False Unique code used in displaying + hierarchical data. + +series_id 21 Code series identifier Unique code identifying the + Ex: specific series. + IPUBN211___L000000000 + +series_title 256 It Varies Title identifying unique + characteristics of data series. + +sort_sequence 5 Integer Code used to sort data for + Ex: 1 display. + +type_code 1 Text Indicates the type of measure + Ex: E=Employees of the series + +type_text 100 It Varies Name of the measure type. + +value 12 Index Value of the observation. + Ex: 116.6 + +year 4 YYYY Identifies year of observation. + Ex: 1990 diff --git a/bls/ip/ip_area.parquet b/bls/ip/ip_area.parquet new file mode 100644 index 0000000000000000000000000000000000000000..5a96b4c25b5da157be2b298e19db442fc22c8aac --- /dev/null +++ b/bls/ip/ip_area.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5c474dbe8266f9901107d8d244e229399e08091273680acf20842d4e29376398 +size 4129 diff --git a/bls/ip/ip_contacts.parquet b/bls/ip/ip_contacts.parquet new file mode 100644 index 0000000000000000000000000000000000000000..d9b933f7dd85686215de55be53ee8ffbfbbec575 --- /dev/null +++ b/bls/ip/ip_contacts.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3f9131ebd393d22a2277bd7e45f69589142298f853b70c37e1ee25bfbcedc8fb +size 1873 diff --git a/bls/ip/ip_data_1_AllData.parquet 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sha256:4a7e0e55b8099d9f9adc11bfef179c5cffacd22479041d1759b2d36b977e5d68 +size 244662 diff --git a/bls/ip/ip_type.parquet b/bls/ip/ip_type.parquet new file mode 100644 index 0000000000000000000000000000000000000000..3c424c6176d2c0476cb43523e2f4ee720ea2e346 --- /dev/null +++ b/bls/ip/ip_type.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ebb0c9101efc2c8678a5b24e858ac98a9173c9685ed801eb1a2246c721bd5a9f +size 1785 diff --git a/bls/is/README.md b/bls/is/README.md new file mode 100644 index 0000000000000000000000000000000000000000..627e8bc7cba9b1e5d5c5a80e6dbb15614395466a --- /dev/null +++ b/bls/is/README.md @@ -0,0 +1,20 @@ +# BLS survey `is` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/is/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `is.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 | +|---|---|---| +| is.area | 236 | area_code, area_text, display_level, selectable, sort_sequence | +| is.case_type | 20 | case_type_code, case_type_text, display_level, selectable, sort_sequence | +| is.contacts | 55 | Safety, Health, and Working Conditions Contacts | +| is.data.1.AllData | 5691796 | series_id, year, period, value, footnote_codes | +| is.data_type | 36 | data_type_code, data_type_text, display_level, selectable, sort_sequence | +| is.footnote | 4 | footnote_code, footnote_text | +| is.industry | 1305 | supersector_code, industry_code, industry_text, display_level, selectable, sort_sequence | +| is.seasonal | 2 | seasonal_code, seasonal_text | +| is.series | 891324 | series_id, seasonal, supersector_code, industry_code, data_type_code, case_type_code, area_code, series_title, footnote_codes, begin_year, begin_period, end_year, end_period | +| is.supersector | 14 | supersector_code, supersector_text, display_level, selectable, sort_sequence | diff --git a/bls/is/is.txt b/bls/is/is.txt new file mode 100644 index 0000000000000000000000000000000000000000..49da3a44c1b737ea15880cd8579b7ed895b0917d --- /dev/null +++ b/bls/is/is.txt @@ -0,0 +1,428 @@ + Occupational Injuries and Illnesses Industry Data (IS) + is.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 + INDUSTRY DATA (IS) + +Survey Description: Occupational injury and illness counts and incidence rates +are annual measures of the level and frequency of work-related injuries and +illnesses. The rate equals the form of the number of injuries and illnesses +per 100 full-time employees. + +Data collected through the annual survey are based on records which employers +maintain under the Occupational Safety and Health Act. Data include all cases +resulting from accidents or exposure in the work environment that result in a +nonfatal illness or injury. Some of these cases involve lost work time-- the +incident may result in a work absence, restriction of work or motion, or +transfer to another job. Other recordable cases do not involve any lost days. +Recordkeeping guidelines are maintained by the Occupational Safety and Health +Administration. + +Virtually the entire private sector is covered by the survey, except +self-employed individuals, farms with fewer than 11 employees, and employers +regulated by other Federal safety and health laws. National estimates +exclude Federal, State, and local government agencies, but data for selected +States include State and local government. Data conforming to definitions of +recordable occupational injuries and illnesses for coal, metal and nonmetal +mining, and railroad transportation are provided by the Mine Safety and Health +Administration, U.S. Department of Labor, and the Federal Railroad Administration, +U.S. Department of Transportation. + +The incidence rates are produced for industries which are based on the 2012 +North American Industry Classification System (NAICS). The survey sample design +uses stratified random sample with a Neyman allocation. The characteristics used +to stratify the units are the States, NAICS code, and employment. The data for all +reporting units in each industry are expanded by the inverse of the sampling +ratio, and benchmarked to the appropriate employment level in each industry. +Reports are collected from about 180,000 sample units. + +Summary Data Available: Incidence rates and counts are calculated for three +categories for total recordable cases: (1) injury and illness combined, +(2) injury only; and (3) illness only. + +Additionally, estimates of incidence rates and case counts are also available +for various severity classifications. For each injuries and illnesses in each +industry, the incidence rates and numbers of cases are available for total nonfatal +recordable cases; cases with days away from work, job transfer or restriction; +cases with days away from work; cases with job transfer or restriction only; and +other recordable cases. + +Data also include rates and numbers of cases, by various illness categories: +skin diseases or disorders, respiratory conditions, poisonings, hearing loss, +and all other illnesses. + +Data for an unpublished industry were included in the total for the broader +industry level of which it is a part. + +Calculation of Incidence Rates: + + The incidence rates represent the number of injuries and/or + illnesses per 100 full-time workers and were calculated as: + + (N/EH) x 200,000 (20,000,000 for illness rates). + + where: + + N = number of injuries and/or illnesses. + + EH = total hours worked by all employees during the calendar year. + + 200,000 = base for 100 full-time equivalent workers + (working 40 hours/week, 50 weeks/year). + + 20,000,000 =base for 10,000 full-time equivalent workers + (working 40 hours/week, 50 weeks/year). + + +Frequency of Observations: All data are annual. + +Data Characteristics: Rates are stored to one decimal place. Number of cases are + in thousands. + + +References: BLS Handbook of Methods, Chapter 9, "Occupational Safety + and Health Statistics". + +================================================================================== +Section 2 +================================================================================== +The following Occupational Injuries and Illnesses Industry Data files are on the +BLS internet in the sub-directory pub/time.series/is: + + is.area - Area codes mapping file + is.case.type - Case type codes mapping file + is.contacts - Contacts for IS survey + is.data.1.AllData - All data + is.data.type - Data type codes mapping file + is.footnote - Footnote codes mapping file + is.industry - Industry codes mapping file + is.period - Period codes mapping file + is.series - All series and their beginning and end dates + is.supersector - All supersector codes mapping file + is.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 (A01, 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 +is.series. Note that the Field Numbers are for reference only; they do not exist +in the database. Data files are in ASCIS 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 ISU00000000001100 + +2. supersector_code 3 000 + +3. industry_code 6 000000 + +4. data_type_code 1 0 + +5. case_type_code 1 1 + +6. area_code 3 100 + +7. series_title 255 Industry-level data from the Survey of Occupational Injuries and Illnesses (SOII) + +8. footnote_codes 10 Z + +7. begin_year 4 2014 + +8. begin_period 3 A01 + +9. end_year 4 2014 + +10. end_period 3 A01 + + +The series_id (ISU00000000001100) can be broken out into: + +Code Value + +survey abbreviation = IS +seasonal (code) = U +supersector_code = 000 +industry_code = 000000 +data_type_code = 0 +case_type_code = 1 +area_code = 100 +================================================================================== +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 ASCIS 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: is.data.1.AllData + +The above-named data file has the following format: + +Field #/Data Element Length Value(Example) + +1. series_id 17 ISU00000000001100 + +2. year 4 2014 + +3. period 3 A01 + +4. value 12 0.4 + +5. footnote_codes 10 It varies + +The series_id (ISU00000000001100) can be broken out into: + +Code Value + +survey abbreviation = IS +seasonal (code) = U +supersector_code = 000 +industry_code = 000000 +data_type_code = 0 +case_type_code = 1 +area_code = 100 +================================================================================ +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 ASCIS 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: is.area + +Field #/Data Element Length Value(Example) + +1. area_code 3 100 + +2. area_name 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00000 + + +File Name: is.case.type + +Field #/Data Element Length Value(Example) + +1. case_type_code 1 1 + +2. case_type_text 100 Text + + +File Name: is.data.type + +Field #/Data Element Length Value(Example) + +1. data_type_code 1 3 + +2. data_type_text 100 Text + + +File Name: is.footnote + +Field #/Data Element Length Value(Example) + +1. footnote_code 1 C + +2. footnote_text 100 Text + + +File Name: is.industry + +Field #/Data Element Length Value(Example) + +1. supersector_code 3 000 + +2. industry_code 6 000000 + +3. industry_name 100 Text + +4. display_level 2 0 + +5. selectable 1 T + +6. sort_sequence 5 00001 + + +File Name: is.period + +Field #/Data Element Length Value(Example) + +1. period 3 A01 + +2. period_abbr 5 ANN + +3. period_name 20 Text + + +File Name: is.supersector + +Field #/Data Element Length Value(Example) + +1. supersector_code 3 000 + +2. supersector_name 100 Text + +3. display_level 2 0 + +4. selectable 1 T + +5. sort_sequence 5 00001 +========================================================================================= +Section 7 +========================================================================================= +OCCUPATIONAL INJURIES AND ILLNESSES INDUSTRY DATA (IS) +DATABASE ELEMENTS + + +Data Element Length Value(Example) Description + +area_code 3 100 Unique code used to identify + a specific geographic area. + +area_name 100 Text Name of specific geographic + Ex.Private Industry, area. + National + +begin_period 3 A01=Annual Identifies first observation + of data series by frequency + and period. + +begin_year 4 YYYY Identifies earliest year for + Ex: 2014 which data series is available. + +case_type_code 1 Ex: T=Total recordable Code identifying type of cases + cases of poisoning to which the incidence rate + applies. + +case_type_text 100 Text Name identifying the type of + Ex: Injury,illness cases to which the incidence + rate refers. + +data_type_code 1 Ex: 1=Rate of injury Code identifying the data type + cases per 100 to which the incidence rate + full-time workers refers. + +data_type_text 100 Text Name identifying the data + Ex: Lost workdays type to which the incidence + rate refers. + +end_period 3 A01=Annual Identifies last observation + of data series by frequency + and period. + +end_year 4 YYYY Identifies latest year for + Ex: 2014 which data are available. + +footnote_code 1 C Identifies footnote for the data + series. + +footnote_codes 10 Ex: Z=Rounded to zero Identifies footnotes for the data + series. + +footnote_text 100 Text Contains the text of the footnote. + +industry_code 6 Ex:000000=All NAICS code identifying industry. + Workers + +industry_name 100 Text Name of industry to which data + Ex: Mining pertain. + +period_abbr 5 Period name Abbreviation of period name. + abbreviation + Ex: ANN + +period 3 A01=Annual Identifies period for which + data is observed. + +period_name 20 Text Full name of period to which the + Ex: Annual data observation refers. + +rounded 1 N=Not rounded to 0 Code indicating if "0" value is + Y=Rounded to 0 the result of rounding. + +series_id 17 Code series identifier Code identifying the specific series. + Ex: ISU00000000001100 + +supersector_code 3 000 Unique code use to identify the + supersectors. + +supersector_name 100 Text Name identifying the type of supersector. + + +value 12 Data value Industry Data. + Ex: 0.4 + +year 4 YYYY Identifies year of observation. + Ex: 2014 + + + + + + + + + \ No newline at end of file diff --git a/bls/is/is_area.parquet b/bls/is/is_area.parquet new file mode 100644 index 0000000000000000000000000000000000000000..c433c1e953440ef9207f1de500a58e2fc249882f --- /dev/null +++ b/bls/is/is_area.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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sha256:a827690d90ff87675e982a7eb3dfe3f53463441677243e130c9d26fad10ac223 +size 1912 diff --git a/bls/is/is_industry.parquet b/bls/is/is_industry.parquet new file mode 100644 index 0000000000000000000000000000000000000000..0fc4a37cf41042a23ff6033927b89474246d3a05 --- /dev/null +++ b/bls/is/is_industry.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5ddd07f4c955cbf75e00cc7a0b4754b5b6ec173c656317a49632a1a76954d119 +size 29557 diff --git a/bls/is/is_seasonal.parquet b/bls/is/is_seasonal.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f9a2f1fd0d823051faf42f36765638a3afad1c6f --- /dev/null +++ b/bls/is/is_seasonal.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a60b694ad35d825ec374b3fd8125a96c3feac221d8b94eabf894653aa641fbe9 +size 1858 diff --git a/bls/is/is_series.parquet b/bls/is/is_series.parquet new file mode 100644 index 0000000000000000000000000000000000000000..ae58f2c8a1024a4ee599081d3aac8e3e8d29362b --- /dev/null +++ b/bls/is/is_series.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:34b0db0f9ac7bb8e04e2710481f5fecf844aaafdcda21d2ad6c68d4e379ef0e5 +size 1514310 diff --git a/bls/is/is_supersector.parquet b/bls/is/is_supersector.parquet new file mode 100644 index 0000000000000000000000000000000000000000..f226569bf39bed41017906b105ecc4f6f92beec9 --- /dev/null +++ b/bls/is/is_supersector.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8ef52a71fe46e8d81c4565567bc2dc8bf00fc691d1eab06e02172016e2951ca9 +size 3838 diff --git a/bls/jl/README.md b/bls/jl/README.md new file mode 100644 index 0000000000000000000000000000000000000000..7cad518d4e957c3d7a39a38c3fb71befdf33e5e7 --- /dev/null +++ b/bls/jl/README.md @@ -0,0 +1,20 @@ +# BLS survey `jl` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/jl/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `jl.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 | +|---|---|---| +| jl.contacts | 2 | Job Openings and Labor Turnover Survey Contacts | +| jl.data.0.Current | 6612 | series_id, year, period, value, footnote_codes | +| jl.data.1.AllItems | 6612 | series_id, year, period, value, footnote_codes | +| jl.dataelement | 6 | dataelement_code, dataelement_text, display_level, selectable, sort_sequence | +| jl.footnote | 11 | footnote_code, footnote_text | +| jl.industry | 15 | industry_code, industry_text, display_level, selectable, sort_sequence | +| jl.ratelevel | 2 | ratelevel_code, ratelevel_text, display_level, selectable, sort_sequence | +| jl.region | 5 | region_code, region_text, display_level, selectable, sort_sequence | +| jl.seasonal | 2 | seasonal_code, seasonal_text | +| jl.series | 228 | series_id, seasonal, industry_code, region_code, dataelement_code, ratelevel_code, footnote_codes, begin_year, begin_period, end_year, end_period | diff --git a/bls/jl/jl.txt b/bls/jl/jl.txt new file mode 100644 index 0000000000000000000000000000000000000000..0334a4f2eafe5e2a87dea0bb5e4e3ab28605f120 --- /dev/null +++ b/bls/jl/jl.txt @@ -0,0 +1,346 @@ + Job Openings and Labor Turnover Survey (JOLTS) + jl.txt + +****************************************************************************************** +SPECIAL NOTICE: The Job Openings and Labor Turnover Survey program will publish +National data on a North American Industry Classification System (NAICS) basis +shortly after the Current Employment Statistics program release May 2003 in June 2003. +With the release of May 2003 data, SIC-based data will no longer be produced or published. +****************************************************************************************** + + +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: Job Openings and Labor Turnover Survey (JOLTS) + +Survey Description: The Job Openings and Labor Turnover Survey program provide +national estimates of rates and levels for job openings, hires, and total +separations. Total separations are further broken out into quits, layoffs and +discharges, and other separations. + +The estimates are available for eleven major industry divisions, nine private sector +divisions and two public sector divisions, based on the Standard Industrial +Classification (SIC) system. These divisions include: Mining; Construction; +Durable Goods Manufacturing; Nondurable Goods Manufacturing; Transportation +and Public Utilities; Wholesale Trade; Retail Trade; Finance, Insurance, and Real +Estate; Services; Federal Government; and State and Local Government. + +Estimates are also available for four geographic regions (Northeast, Midwest, +South, and West). + +The sample for the Job Openings and Labor Turnover Survey includes randomly +selected nonfarm establishments such as factories, offices, and stores, as +well as federal, state, and local government entities in the 50 states and the +District of Columbia. The 16,000 establishments in the JOLTS survey are drawn +from a universe of approximately eight million establishments compiled as +part of the Covered Employment and Wages, or ES-202, program. + +All data series are available from December 2000 to present. + +Estimates from the Job Openings and Labor Turnover Survey (JOLTS) are not +seasonally adjusted, and experience suggests that there is a seasonal pattern +to job openings, hires, and separations. In addition, BLS considers the JOLTS +estimates to be developmental and advises that caution be exercised in drawing +conclusions from the estimates. + +All levels are published in thousands and all rates are published in percent +to one decimal place. + +Special characteristics of the data are footnoted where necessary. + +Updating Schedule: Updates are usually available the last week of the month for +the previous reference month's data. All data are final estimates, second +closing estimates. The month following the annual CES benchmark revision, all +JOLTS pertinent estimates are retabbed. +================================================================================== +Section 2 +================================================================================== + +The following Job Openings and Labor Turnover Survey files are on the BLS +internet in the sub-directory pub/time.series/jl: + + jl.contacts - Contacts for JOLTS program + jl.data.0.Current - All current year-to-date estimates + jl.data.1.AllItems - All estimates + jl.dataelement - Data element codes mapping file + jl.industry - Industry codes mapping file + jl.period - Period codes mapping file + jl.ratelevel - Rate/Level codes mapping file + jl.region - Region codes mapping file + jl.series - Series codes + jl.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 +jl.series. Note that the Field Numbers are for reference only; they do not exist +in the database. Data files are in ASCII text format. Data elements are separated +by spaces; the first record of each file contains the column headers for the data +elements stored in each field. Each record ends with a new line character. + +Field #/Data Element Length Value(Example) + +1. series_id 17 JLS000000NEJOR + +2. seasonal 1 S or U + +3. industry_code 6 000000 + +4. region_code 2 NE + +5. dataelement_code 2 JO + +6. ratelevel_code 1 R + +7. footnote_codes 10 Text + +8. begin_year 4 2000 + +9. begin_period 3 M12 + +10. end_year 4 2002 + +11. end_period 3 M05 + + +The series_id (JLS000000NEJOR) can be broken out into: + +Code Value + +survey abbreviation = JL +seasonal (code) = S +industry_code = 000000 +region_code = NE +dataelement_code = JO +ratelevel_code = R + +================================================================================== +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 jl.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 JLS000000NEJOR + +2. year 4 2000 + +3. period 3 M12 + +4. value 12 1036 + +5. footnote_codes 10 It varies + + +The series_id (JLS000000NEJOR) can be broken out into: + +Code Value + +survey abbreviation = JL +seasonal (code) = S +industry_code = 000000 +region_code = NE +dataelement_code = JO +ratelevel_code = R + +================================================================================ +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: jl.dataelement + +Field #/Data Element Length Value(Example) + +1. dataelement_code 2 JO + +2. dataelement_text 100 Text + + +File Name: jl.industry + +Field #/Data Element Length Value(Example) + +1. industry_code 6 000000 + +2. industry_text 100 Text + + +File Name: jl.period + +Field #/Data Element Length Value(Example) + +1. period 3 M01 + +2. period_abbr 5 JUN + +3. period_name 20 Text + + +File Name: jl.ratelevel + +Field #/Data Element Length Value(Example) + +1. ratelevel_code 1 R + +2. ratelevel_text 100 Text + + +File Name: jl.region + +Field #/Data Element Length Value(Example) + +1. region_code 2 NE + +2. region_text 100 Text + +========================================================================================= +Section 7 +========================================================================================= +JOB OPENINGS AND LABOR TURNOVER SURVEY (JOLTS) DATABASE ELEMENTS + +Data Element Length Value(Example) Description + +begin_period 3 M01-M13 Identifies first data observation + Q01-Q05 within the first year for which + Ex: M06=June data is available for a given + (M=Monthly, M13=Annual time series. + Avg, Q=Quarterly, Q05= + Annual Avg) + +begin_year 4 YYYY Identifies first year for which + Ex: 1976 data is available for a given + time series. + +dataelement_code 2 JO Code identifying type of data. + +dataelement_text 100 Text Description of type of data. + Ex: Job Openings + +end_period 3 M01-M13 Identifies last data observation + Q01-Q04 within the last year for which + Ex: M06=June data is available for a given + (M=Monthly, M13=Annual time series. + Avg, Q=Quarterly, Q05= + Annual Avg) + +end_year 4 YYYY Identifies last year for which + Ex: 1992 data is available for a given + time series. + +footnote_codes 10 It varies Identifies footnotes for the data + series. + +footnote_text 100 Text Contains the text of the footnote. + +industry_code 6 005000 Code identifying industry. + +industry_text 100 Text Name of industry. + Ex: Services + +period_abbr 5 Period name Abbreviation of period name. + abbreviation + Ex: JUN + +period 3 M01-M13 Identifies period for which + Q01-Q04 data is observed. + Ex: M06=June + (M=Monthly, M13=Annual + Avg, Q=Quarterly, Q05= + Annual Avg) + +period_text 20 Text Full name of period to which + Ex: June the data observation refers. + +ratelevel_code 1 R Code identifying rate or level. + +ratelevel_text 100 Text Decription of ratelevel_code. + Ex: Rate + +region_code 2 Ex: NE Code identifying region. + +region_text 100 Text Description of region. + Ex: Northeast + +seasonal 1 S=Seasonally Code identifying whether the + Adjusted data are seasonally adjusted. + U=Unadjusted + +series_id 17 JLS005000NEJOR Code identifying the specific + series. + +value 12 Ex: 103623 Data value for series. + +year 4 YYYY Identifies year of observation. + Ex: 1990 + + + + + diff --git a/bls/jl/jl_contacts.parquet b/bls/jl/jl_contacts.parquet new file mode 100644 index 0000000000000000000000000000000000000000..46922ff6fa8cce122f54d39e9be315499ba80910 --- /dev/null +++ b/bls/jl/jl_contacts.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ed2702330944c30dd41224635b78389d9f65a91b649099133e9727f75a9f6a86 +size 1861 diff --git a/bls/jl/jl_data_0_Current.parquet b/bls/jl/jl_data_0_Current.parquet new file mode 100644 index 0000000000000000000000000000000000000000..688adc754d904f4b6bc3b16e19b4aa32c8488a22 --- /dev/null +++ b/bls/jl/jl_data_0_Current.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bd0be04ed6ac9286567c2cfe5311f84295116f8800db666d0528bf47a050937c +size 15665 diff --git a/bls/jl/jl_data_1_AllItems.parquet b/bls/jl/jl_data_1_AllItems.parquet new file mode 100644 index 0000000000000000000000000000000000000000..688adc754d904f4b6bc3b16e19b4aa32c8488a22 --- /dev/null +++ b/bls/jl/jl_data_1_AllItems.parquet @@ -0,0 +1,3 @@ +version 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+++ b/bls/jt/README.md @@ -0,0 +1,30 @@ +# BLS survey `jt` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/jt/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `jt.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 | +|---|---|---| +| jt.area | 1 | area_code, area_text, display_level, selectable, sort_sequence | +| jt.contacts | 2 | Job Openings and Labor Turnover Survey Contacts | +| jt.data.0.Current | 378668 | series_id, year, period, value, footnote_codes | +| jt.data.1.AllItems | 627672 | series_id, year, period, value, footnote_codes | +| jt.data.2.JobOpenings | 112522 | series_id, year, period, value, footnote_codes | +| jt.data.3.Hires | 112522 | series_id, year, period, value, footnote_codes | +| jt.data.4.TotalSeparations | 112522 | series_id, year, period, value, footnote_codes | +| jt.data.5.Quits | 112522 | series_id, year, period, value, footnote_codes | +| jt.data.6.LayoffsDischarges | 112522 | series_id, year, period, value, footnote_codes | +| jt.data.7.OtherSeparations | 48568 | series_id, year, period, value, footnote_codes | +| jt.data.8.UnemployedPerJobOpeningRatio | 15660 | series_id, year, period, value, footnote_codes | +| jt.dataelement | 10 | dataelement_code, dataelement_text, display_level, selectable, sort_sequence | +| jt.footnote | 2 | footnote_code, footnote_text | +| jt.industry | 28 | industry_code, industry_text, display_level, selectable, sort_sequence | +| jt.period | 13 | period, period_abbr, period_name | +| jt.ratelevel | 2 | ratelevel_code, ratelevel_text, display_level, selectable, sort_sequence | +| jt.seasonal | 2 | seasonal_code, seasonal_text | +| jt.series | 2060 | series_id, seasonal, industry_code, state_code, area_code, sizeclass_code, dataelement_code, ratelevel_code, footnote_codes, begin_year, begin_period, end_year, end_period | +| jt.sizeclass | 7 | sizeclass_code, sizeclass_text, display_level, selectable, sort_sequence | +| jt.state | 56 | state_code, state_text, display_level, selectable, sort_sequence | diff --git a/bls/jt/jt.txt b/bls/jt/jt.txt new file mode 100644 index 0000000000000000000000000000000000000000..d63db7de2f300299d25bc32f540887a741a48f74 --- /dev/null +++ b/bls/jt/jt.txt @@ -0,0 +1,426 @@ +Job Openings and Labor Turnover Survey (JOLTS) + jt.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: Job Openings and Labor Turnover Survey (JOLTS) + +Survey Description: The Job Openings and Labor Turnover Survey program provides +national estimates of rates and levels for job openings, hires, and total +separations. Total separations are further broken out into quits, layoffs and +discharges, and other separations. + +Unadjusted and seasonally adjusted levels and rates of all data elements are published +by supersector and select sector based on the North American Industry Classification +System (NAICS). These supersectors and select sectors include: mining and logging; +construction; durable goods manufacturing; nondurable goods manufacturing; wholesale +trade; retail trade; transportation, warehousing, and utilities; information; finance +and insurance; real estate and rental and leasing; professional and business services; +educational services; health care and social assistance; arts, entertainment, and recreation; +accommodation and food services; other services; federal government; state and local +government education; and state and local government, excluding education. + +Estimates are also available for four geographic regions (Northeast, Midwest, +South, and West). + +The sample for the Job Openings and Labor Turnover Survey includes randomly +selected nonfarm establishments such as factories, offices, and stores, as +well as federal, state, and local government entities in the 50 states and the +District of Columbia. The 16,000 establishments in the JOLTS survey are drawn +from a universe of approximately nine million establishments compiled as +part of the Quarterly Census of Employment and Wages, or ES-202, program. + +All data series are available from December 2000 to present on a monthly basis. +Annual estimates are available for all industries for hires, quits, layoffs and +discharges, other separations, and total separations. + +BLS seasonally adjusts series using the X-13-ARIMA-SEATS seasonal adjustment program. +Seasonal adjustment is the process of estimating and removing periodic fluctuations +caused by events such as weather, holidays, and the beginning and ending of the school +year. Seasonal adjustment makes it easier to observe fundamental changes in the level +of the series, particularly those associated with general economic expansions and +contractions. A concurrent seasonal adjustment methodology is used in which new +seasonal adjustment factors are calculated each month, using all relevant data, up to +and including the data for the current month. + +JOLTS uses moving averages as seasonal filters in seasonal adjustment. JOLTS seasonal +adjustment includes both additive and multiplicative seasonal adjustment models and +REGARIMA (regression with auto-correlated errors) modeling to improve the seasonal +adjustment factors at the beginning and end of the series and to detect and adjust for +outliers in the series. + +All levels are published in thousands and all rates are published in percent to one +decimal place. + +Special characteristics of the data are footnoted where necessary. + +Updating Schedule: First Closing estimates are usually available six weeks after +the end of the reference month. At the same time, second closing estimates for the month +prior to the reference month also are released. The month following the annual CES +benchmark revision, all JOLTS pertinent estimates are retabulated. + +================================================================================== +Section 2 +================================================================================== + +The following Job Openings and Labor Turnover Survey files are on the BLS +internet in the sub-directory pub/time.series/jt: + + jt.contacts - Contacts for JOLTS program + jt.data.0.Current - Nine years of data plus year-to-date estimates + jt.data.1.AllItems - All estimates + jt.data.2.JobOpenings - Seasonally adjusted and Unadjusted, Job Openings + levels and rates, 2000-present + jt.data.3.Hires - Seasonally adjusted and Unadjusted, Hires + levels and rates, 2000-present + jt.data.4.TotalSeparations - Seasonally adjusted and Unadjusted, Total Separations + levels and rates, 2000-present + jt.data.5.Quits - Seasonally adjusted and Unadjusted, Quits + levels and rates, 2000-present + jt.data.6.LayoffsDischarges - Seasonally adjusted and Unadjusted, Layoffs and Discharges + levels and rates, 2000-present + jt.data.7.OtherSeparations - Seasonally adjusted and Unadjusted, Other Separations + levels and rates, 2000-present + jt.area - Metropolitan Statistical Area codes mapping file + jt.dataelement - Data element codes mapping file + jt.footnote - Footnote codes mapping file + jt.industry - Industry codes mapping file + jt.period - Period codes mapping file + jt.ratelevel - Rate/Level codes mapping file + jt.seasonal - Seasonality codes mapping file + jt.sizeclass - Establishment size codes mapping file + jt.state - State codes mapping file + jt.series - Series codes + jt.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 +jt.series. Note that the Field Numbers are for reference only; they do not exist +in the database. Data files are in ASCII text format. Data elements are separated +by spaces; the first record of each file contains the column headers for the data +elements stored in each field. Each record ends with a new line character. + +Field #/Data Element Length Value(Example) + +1. series_id 21 JTS000000000000000JOR + +2. seasonal 1 S or U + +3. industry_code 6 000000 + +4. state_code 2 00 + +5. area_code 5 00000 + +6. sizeclass_code 2 00 + +7. dataelement_code 2 JO + +8. ratelevel_code 1 R + +9. footnote_codes 10 Text + +10. begin_year 4 2000 + +11. begin_period 3 M12 + +12. end_year 4 2020 + +13. end_period 3 M08 + + +The series_id (JTS000000000000000JOR) can be broken out into: + +Code Value + +survey abbreviation = JT +seasonal (code) = S +industry_code = 000000 +state_code = 00 +area_code = 00000 +sizeclass_code = 00 +dataelement_code = JO +ratelevel_code = R + +================================================================================== +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 jt.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 21 JTS000000000000000JOR + +2. year 4 2000 + +3. period 3 M12 + +4. value 12 4868 + +5. footnote_codes 10 It varies + + +The series_id (JTS000000000000000JOR) can be broken out into: + +Code Value + +survey abbreviation = JT +seasonal (code) = S +industry_code = 000000 +state_code = 00 +area_code = 00000 +sizeclass_code = 00 +dataelement_code = JO +ratelevel_code = R + +================================================================================ +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: jt.area + +Field #/Data Element Length Value(Example) + +1. area_code 5 00000 + +2. area_text 100 Text + + +File Name: jt.dataelement + +Field #/Data Element Length Value(Example) + +1. dataelement_code 2 JO + +2. dataelement_text 100 Text + + +File Name: jt.footnote + +Field #/Data Element Length Value(Example) + +1. footnote_code 2 P + +2. footnote_text 200 Text + + +File Name: jt.industry + +Field #/Data Element Length Value(Example) + +1. industry_code 6 000000 + +2. industry_text 100 Text + + +File Name: jt.period + +Field #/Data Element Length Value(Example) + +1. period 3 M01 + +2. period_abbr 5 JUN + +3. period_name 20 Text + + +File Name: jt.ratelevel + +Field #/Data Element Length Value(Example) + +1. ratelevel_code 1 R + +2. ratelevel_text 100 Text + + +File Name: jt.seasonal + +Field #/Data Element Length Value(Example) + +1. seasonal_code 2 S + +2. seasonal_text 100 Text + + +File Name: jt.sizeclass + +Field #/Data Element Length Value(Example) + +1. sizeclass_code 2 00 + +2. sizeclass_text 100 Text + + +File Name: jt.state + +Field #/Data Element Length Value(Example) + +1. state_code 2 00 + +2. state_text 100 Text + + +========================================================================================= +Section 7 +========================================================================================= +JOB OPENINGS AND LABOR TURNOVER SURVEY (JOLTS) DATABASE ELEMENTS + +Data Element Length Value(Example) Description + +area_code 5 Ex: 00000 Code identifying Metropolitan Statistical Area. + +area_text 100 Text Description of Metropolitan Statistical Area. + Ex: All areas + +begin_period 3 M01-M13 Identifies first data observation + Q01-Q05 within the first year for which + Ex: M06=June data is available for a given + (M=Monthly, M13=Annual time series. + Avg, Q=Quarterly, Q05= + Annual Avg) + +begin_year 4 YYYY Identifies first year for which + Ex: 2000 data is available for a given + time series. + +dataelement_code 2 JO Code identifying type of data. + +dataelement_text 100 Text Description of type of data. + Ex: Job Openings + +end_period 3 M01-M13 Identifies last data observation + Q01-Q04 within the last year for which + Ex: M06=June data is available for a given + (M=Monthly, M13=Annual time series. + Avg, Q=Quarterly, Q05= + Annual Avg) + +end_year 4 YYYY Identifies last year for which + Ex: 2019 data is available for a given + time series. + +footnote_codes 10 It varies Identifies footnotes for the data + series. + +footnote_text 100 Text Contains the text of the footnote. + +industry_code 6 000000 Code identifying industry. + +industry_text 100 Text Name of industry. + Ex: Total nonfarm + +period_abbr 5 Period name Abbreviation of period name. + abbreviation + Ex: JUN + +period 3 M01-M13 Identifies period for which + Q01-Q04 data are observed. + Ex: M06=June + (M=Monthly, M13=Annual + Avg, Q=Quarterly, Q05= + Annual Avg) + +period_text 20 Text Full name 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0000000000000000000000000000000000000000..a1d53c406698398882ae13cdde644077eb1473ae --- /dev/null +++ b/bls/jt/jt_sizeclass.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9226fef513c2e4b3e094e21d4f7f683af07a04ea58f79c359df029912b379785 +size 3570 diff --git a/bls/jt/jt_state.parquet b/bls/jt/jt_state.parquet new file mode 100644 index 0000000000000000000000000000000000000000..1f2485d084184a2f35faa95ad7379ff63bdfdc76 --- /dev/null +++ b/bls/jt/jt_state.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e9ffb362afe97137a546679b22e11c5905420e61a5d53d4dd0e18fa0cf383178 +size 4131 diff --git a/bls/kv/README.md b/bls/kv/README.md new file mode 100644 index 0000000000000000000000000000000000000000..f015beeb0e82bb37178ceb9b9c03bda8e85ee864 --- /dev/null +++ b/bls/kv/README.md @@ -0,0 +1,23 @@ +# BLS survey `kv` + +Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/kv/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics. + +Survey documentation: `kv.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 | +|---|---|---| +| kv.ages | 2 | ages_code, ages_text | +| kv.clas | 6 | clas_code, clas_text | +| kv.data.1.AllData | 21257 | series_id, year, period, value, footnote_codes | +| kv.footnote | 1 | footnote_code, footnote_text | +| kv.indy | 3 | indy_code, indy_text | +| kv.lfst | 6 | lfst_code, lfst_text | +| kv.pcts | 4 | pcts_code, pcts_text | +| kv.rsng | 4 | rsng_code, rsng_text | +| kv.scdr | 8 | scdr_code, scdr_text | +| kv.series | 1371 | series_id, seasonal, footnote_codes, lfst_code, series_title, ages_code, clas_code, indy_code, pcts_code, rsng_code, scdr_code, sexs_code, tdat_code, vets_code, begin_year, begin_period, end_year, end_period | +| kv.sexs | 3 | sexs_code, sexs_text | +| kv.tdat | 2 | tdat_code, tdat_text | +| kv.vets | 13 | vets_code, vets_text | diff --git a/bls/kv/kv.txt b/bls/kv/kv.txt new file mode 100644 index 0000000000000000000000000000000000000000..12123be3a60d8cedde57777bd9ac76a2edddc7b0 --- /dev/null +++ b/bls/kv/kv.txt @@ -0,0 +1,358 @@ +CPS Veterans Supplement (KV) + +Section listing + +1. Survey definition +2. Flat files listed in the survey directory. +3. 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 + + + +================================================================================ +Section 1. Survey definition +================================================================================ + +The CPS Veterans Supplement (KV) database provides information about veterans on +topics such as the presence and severity of service-connected disability, Reserve +or National Guard status (of Gulf War-era veterans), and location of service (for +Gulf War-era II veterans) that are not available in other labor force estimates +from the CPS. Veterans data refer to men and women 18 years or over who previously +served on active duty in the U.S. Armed Forces and who were civilians at the time +they were surveyed. + +These data come from a periodic supplemental survey of veterans that is conducted +as part of the Current Population Survey (CPS), a monthly sample survey of +households that provides data on employment, unemployment, and people not in the +labor force in the United States. The veterans supplement is conducted yearly and +derived from a single month s data, typically in August. The KV database contains +estimates from the veterans supplement from 2010 forward, but not for earlier years. +The KV database reflects veterans supplement data published in tables 7 through 10 +of the annual Employment Situation of Veterans news release +(www.bls.gov/news.release/vet.nr0.htm). + +The CPS provides comprehensive labor force information about veterans, including +age, race, Hispanic or Latino ethnicity, educational attainment, occupation, and +industry. This information (including annual average estimates published in +tables 1 through 6 of the annual Employment Situation of Veterans news release) +is available online at www.bls.gov/cps/demographics/veterans.htm. Monthly and +annual average veterans information is also available in the Labor Force +Statistics (LN) database (https://download.bls.gov/pub/time.series/ln/). + +If you have questions about these data, please contact us via email at CPSInfo@bls.gov + + +================================================================================== +Section 2. Flat files listed in the survey directory +================================================================================== + +The following CPS Veterans Supplement files are on the BLS internet in the +sub-directory https://download.bls.gov/pub/time.series/kv/: + + kv.ages - Age codes mapping file + kv.clas - Class of worker on primary job codes mapping file + kv.data.1.AllData - Data file + kv.footnote - Footnote codes mapping file + kv.indy - Industry codes mapping file + kv.lfst - Labor force status codes mapping file + kv.pcts - Percent and rate codes mapping file + kv.rsng - Reserve or National Guard status codes mapping file + kv.scdr - Service-connected disability rating codes mapping file + kv.series - All series and their beginning and end dates + kv.sexs - Sex codes mapping file + kv.tdat - Type of data codes mapping file + kv.txt - General information + kv.vets - Veteran status codes mapping file + + + +================================================================================= +Section 3. Series file, data file, and mapping file definitions and relationships +================================================================================= + +The flat 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) a data file + +The series file contains a set of attribute codes which, together, serve to +uniquely identify a single time series. + +The series file also contains the following series-level information: + +a) series title +b) characteristics of the series corresponding to values in the mapping files +c) the period and year corresponding to the first data observation in the data file +d) the period and year corresponding to the most recent data observation + +The attribute mapping files are definition files that contain explanatory text +descriptions that correspond to each of the various attributes associated with +the database and referenced in the series file. + +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 are observed +c) period for which data are observed (A01 indicates annual estimate) +d) value +e) footnote code (if available) + +All data series in the KV database are yearly estimates that are collected +for a single month, typically August. + + + +================================================================================= +Section 4. Series file format and field definitions +================================================================================= + +Series File Structure and Format: The following represents the file format used in +the kv.series 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. + +Field #/Data Element Length Value (Example) + +1. series_id 19 KVU0101000000000124 + +2. seasonal 1 U + +3. footnote_codes 1 (blank) + +4. lfst_code 2 01 + +5. series_title 250 Civilian noninstitutional population - Veterans, Men + +6. ages_code 3 005 + +7. clas_code 2 00 + +8. indy_code 4 0000 + +9. pcts_code 2 00 + +10. rsng_code 2 00 + +11. scdr_code 2 00 + +12. sexs_code 1 1 + +13. tdat_code 2 00 + +14. vets_code 2 02 + +15. begin_year 4 2010 + +16. begin_period 3 A01 + +17. end_year 4 2025 + +18. end_period 3 A01 + + +The series_id (KVU0101000000000124) can be broken out into: + +Code Value + +survey abbreviation = KV +seasonal (code) = U +last 16 unique = 0101000000000124 + +All data series in the KV database are yearly estimates that are collected for +a single month, typically August, and are not adjusted for seasonal variation +(seasonal code = U, unadjusted for all series). + +Note that the series_id code cannot be decoded into meaningful components. The KV +database has too many attributes to assign each position of the series_id code to +a specific attribute value. You must use the kv.series file (which includes +descriptive titles) to determine the attributes that define a specific series. + + + +================================================================================== +Section 5. Data file format and field definitions +================================================================================== + +Data File Structure and Format: The following represents the file format used to +define the 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 KV data file is one file: kv.data.1.AllData + +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 are observed +c) period for which data are observed (A01 indicates annual estimate) +d) value +e) footnote code (if available) + +All data series in the KV database are yearly estimates that are collected for a +single month, typically August. + +Field #/Data Element Length Value (Example) + +1. series_id 19 KVU0101000000000124 + +2. year 4 2024 + +3. period 3 A01 + +4. value 12 15481 + +5. footnote_code 1 (blank) + + + +================================================================================ +Section 6. Mapping file formats and field definitions +================================================================================ + +Mapping 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: kv.ages + +Attribute mapping file identifying age - all KV database series refer to people 18 years and over + +Field #/Data Element Length Value (Example) + +1. ages_code 3 005 + +2. ages_text 100 18 years and over + + + +File Name: kv.clas + +Attribute mapping file identifying class of worker on primary job + +Field #/Data Element Length Value (Example) + +1. clas_code 2 15 + +2. clas_text 100 Private sector wage and salary workers + + + +File Name: kv.footnote + +Attribute mapping file identifying footnote (if any). Footnotes may be applied to +individual data values or (rarely) at the series level. + +Field #/Data Element Length Value (Example) + +1. footnote_code 1 7 + +2. footnote_text 100 Data do not meet publication criteria. + + + +File Name: kv.indy + +Attribute mapping file identifying industry of primary job, either agriculture or nonagricultural industries + +Field #/Data Element Length Value (Example) + +1. indy_code 4 0011 + +2. indy_text 100 Nonagricultural industries + + + +File Name: kv.lfst + +Attribute mapping file identifying labor force status (employed, unemployed, not in the labor force, etc.) + +Field #/Data Element Length Value (Example) + +1. lfst_code 2 01 + +2. lfst_text 100 Civilian noninstitutional population + + + +File Name: kv.pcts + +Attribute mapping file specifying the type of percent or rate + +Field #/Data Element Length Value (Example) + +1. pcts_code 2 01 + +2. pcts_text 100 Percent of the population + + + +File Name: kv.rsng + +Attribute mapping file identifying the Reserve or National Guard status of Gulf War-era veterans + +Field #/Data Element Length Value (Example) + +1. rsng_code 2 01 + +2. rsng_text 100 Current or past member of Reserve or National Guard + + + +File Name: kv.scdr + +Attribute mapping file identifying the presence of a service-connected disability and disability rating (if any) + +Field #/Data Element Length Value (Example) + +1. scdr_code 2 01 + +2. scdr_text 100 With a service-connected disability + + + +File Name: kv.sexs + +Attribute mapping file identifying sex + +Field #/Data Element Length Value (Example) + +1. sexs_code 1 1 + +2. sexs_text 100 Men + + + +File Name: kv.tdat + +Attribute mapping file identifying the type of data, either a person count (level in thousands) or a percent or rate + +Field #/Data Element Length Value (Example) + +1. tdat_code 2 01 + +2. tdat_text 100 Percent or rate + + + +File Name: kv.vets + +Attribute mapping file identifying veteran status (including period of service and, +for Gulf War-era veterans, the location of service) + +Field #/Data Element Length Value (Example) + +1. vets_code 2 04 + +2. vets_text 100 Gulf War era II veterans + diff --git a/bls/kv/kv_ages.parquet b/bls/kv/kv_ages.parquet new file mode 100644 index 0000000000000000000000000000000000000000..2c82ee58d221f3aa7333f8e17a184bf9f1641d2e --- /dev/null +++ b/bls/kv/kv_ages.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:218e48c4c55500f0414dcd8bab8747474915995d041275fddd8d28de81e7c69f +size 1775 diff --git a/bls/kv/kv_clas.parquet b/bls/kv/kv_clas.parquet new file mode 100644 index 0000000000000000000000000000000000000000..dc66dcbef4c836367a5ac7e66a7f97d6052630c9 --- /dev/null +++ b/bls/kv/kv_clas.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bd35425a7a1e051372b7aa3d84ad0b2f81336c6d91d4f7562beceffd3d2421a7 +size 2020 diff --git a/bls/kv/kv_data_1_AllData.parquet b/bls/kv/kv_data_1_AllData.parquet new file mode 100644 index 0000000000000000000000000000000000000000..fc02404e65067bdb016d13b1dadd1e92ca336ec1 --- /dev/null +++ b/bls/kv/kv_data_1_AllData.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:34775af27fa30ae4495f1da0224bb25a5ae498621d4564e6fed18a51292d44d4 +size 50198 diff --git a/bls/kv/kv_footnote.parquet b/bls/kv/kv_footnote.parquet new file mode 100644 index 0000000000000000000000000000000000000000..32acdf03436afaf5abcce2a6c0321798bcfc4f3c --- /dev/null +++ b/bls/kv/kv_footnote.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4491a1ea40ea7c9366882581744feae62bcedc95e5d3cb3996d033d7cb2ee563 +size 1926