Occupational Injuries and Illnesses - Characteristics Data (cb) cb.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: Biennial Nonfatal Occupational Injuries and Illnesses - characteristics data (cb) Survey Description: In addition to industry data on injuries and illnesses, survey respondents also are asked to provide additional information for a subset of cases that resulted in a day away from work, job transfer, or restriction. Employers answer several questions about these cases, including the worker demographics and occupation as well as the case circumstances surrounding the injury or illness case. Beginning with the 2021-2022 reference period, this dataset expanded from including only days away from work cases, to also including cases that resulted in a day of job transfer restriction, as well as the combination of the two. This dataset moved to a 2-year reference period and will be released biennially (every other year). Summary of 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: Biennial data are available and released every other year. The reference period in the files is the second year of the two-year period. For example: For the biennial reference period 2021-2022, the time series data indicates reference year 2022. Data Characteristics: Data are reported to one decimal place for rates, rounded to the nearest 10 for counts, and whole number for median days. Updating Schedule: OSHS nonfatal injury and illness data characteristics data are published biennially and include a reference period of 2 years. For example, 2021-2022 includes cases from both years. ======================================================================== Section 2 ======================================================================== The following Biennial Nonfatal Occupational Injuries and Illnesses - characteristics data files are on the BLS internet in the sub-directory pub/time.series/cb: cb.age - Age codes (mapping file) cb.case - Case codes (mapping file) cb.category - Category codes (mapping file) cb.contacts - Contacts for cb survey cb.data.0.Current - All current biennial year-to-date data cb.data.1.AllData - All data cb.datatype - Datatype codes (mapping file) cb.event - Event codes (mapping file) cb.footnote - Footnote codes (mapping file) cb.gender - Gender codes (mapping file) cb.hour - Hour codes (mapping file) cb.industry - Industry codes (mapping file) cb.los - Length of service (LOS) codes (mapping file) cb.nature - Nature codes (mapping file) cb.occupation - Occupation codes (mapping file) cb.ownership - Ownership codes (mapping file) cb.pob - Part of body (POB) codes (mapping file) cb.race - Race codes (mapping file) cb.series - All series with beginning and end dates cb.source - Source codes (mapping file) cb.special - Special codes (mapping file) cbs.state - State codes (mapping file) cb.time - Time codes (mapping file) cb.txt - General information cb.weekday - Weekday codes (mapping file) cb.medical - Codes to indicate medical treatment type (mapping file) ============================================================================ Section 3 ============================================================================ The definition of a time series, its relationship to and the interrelationship among series, data and mapping files is detailed below: A time series refers to a set of data observed over an extended period of time over consistent time intervals (i.e. monthly, quarterly, semi-annually, annually). BLS time series data are typically produced at monthly intervals and represent data ranging from a specific consumer item in a specific geographic area whose price is gathered monthly to a category of worker in a specific industry whose employment rate is being recorded monthly, etc. In the case of the cb series, it is produced biennially (every other year) and covers a two-year reference period (i.e. 2021-2022). The reference period listed in the time series file will be the second year of the biennial reference period. For example, for reference period 2021-2022, the time series file will show annual 2022, reference period 2023-2024 will show annual 2024, 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 (in the case of cb, that is the biennial end year) b) the period and year corresponding to the most recent data observation (in the case of cb, that is the biennial end year) 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 (in the case of cb, that is the biennial end year) 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 cb.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 CBU00X11XXXX3E100 2. category_code 3 00X 3. datatype_code 1 3 4. case_code 1 E 5. age_code 6 00XXXX 6. los_code 6 0XXXXX 7. medical_code 6 CNYXXX 8. race_code 6 0XXXXX 9. gender_code 6 0XXXXX 10. pob_code 6 0XXXXX 11. event_code 6 0000XX 12. source_code 6 0000XX 13. occupation_code 6 000000 14. nature_code 6 0000XX 15. industry_code 6 000000 16. time_code 6 000000 17. hour_code 6 000000 18. weekday_code 6 000000 19. special_code 6 000000 20. ownership_code 1 1 21. state_code 2 00 22. footnote_codes 10 Varies 22. begin_year 4 2022 23. begin_period 3 A01 24. end_year 4 2022 25. end_period 3 A01 Note that for the cb series, the begin_year and end_year fields represent the second year of the biennial period. For example, if 2022 is displayed for the begin_year or end_year, then that represents the 2021-2022 period. If 2024 is displayed, it represents the 2023-2024 period, etc. Additionally, the begin_period and end_period are represented as “A01”, but data are published biennially and represent two years of data. The series_id (CBU00X00XXXX3E100) can be broken out into: Code = Value survey abbreviation = CB seasonal adjustment code = U category code = 00X detail code = 00XXXX datatype code = 3 case code = E ownership code = 1 state code = 00 ============================================================================ Section 5 ============================================================================ File Structure and Format: The following represents the file format used to define each data file. Note that the field numbers are for reference only; they do not exist in the database. Data files are in ASCII text format. Data elements are separated by spaces; the first record of each file contains the column headers for the data elements stored in each field. Each record ends with a new line character. The cb.data file may be partitioned into two separate files: 1. cb.data.0.Current = All current biennial year-to-date data 2. cb.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 CBU00X00XXXX3E100 2. year 4 2022 3. period 3 A01 4. value 12 10.2 5. footnote_codes 10 Varies The series_id (CBU00X00XXXX3E100) can be broken out into: Code = Value survey abbreviation = CB seasonal adjustment code = U category code = 00X detail code = 00XXXX datatype code = 3 case code = E ownership code = 1 state code = 00 ============================================================================ Section 6 ============================================================================ File Structure and Format: The following represents the file format used to define each mapping file. Note that the field numbers are for reference only; they do not exist in the database. Mapping files are in ASCII text format. Data elements are separated by tabs; the first record of each file contains the column headers for the data elements stored in each field. Each record ends with a new line character. File Name: cb.age Field #/Data Element Length Value(Example) 1. age_code 6 000000 2. age_text 100 Text File Name: cb.case Field #/Data Element Length Value(Example) 1. case_code 1 E 2. case_text 100 Text File Name: cb.category Field #/Data Element Length Value(Example) 1. case_code 1 3 2. category_code 3 00X 3. category_text 100 Text File Name: cb.datatype Field #/Data Element Length Value(Example) 1. datatype_code 1 3 2. datatype_text 100 Text File Name: cb.event Field #/Data Element Length Value(Example) 1. event_code 6 00XXXX 2. event_text 100 Text File Name: cb.footnote Field #/Data Element Length Value(Example) 1. footnote_code 1 P 2. footnote_text 100 Text File Name: cb.gender Field #/Data Element Length Value(Example) 1. gender_code 6 000000 2. gender_text 100 Text File Name: cb.hour Field #/Data Element Length Value(Example) 1. hour_code 6 000000 2. hour_text 100 Text File Name: cb.industry Field #/Data Element Length Value(Example) 1. industry_code 6 000000 2. industry_text 100 Text File Name: cb.los Field #/Data Element Length Value(Example) 1. los_code 6 000000 2. los_text 100 Text File Name: cb.medical Field #/Data Element Length Value(Example) 1. medical_code 6 CNYXXX 2. medical_text 100 Text File Name: cb.nature Field #/Data Element Length Value(Example) 1. nature_code 6 0XXXXX 2. nature_text 100 Text File Name: cb.occupation Field #/Data Element Length Value(Example) 1. occupation_code 6 000000 2. occupation_text 100 Text File Name: cb.ownership Field #/Data Element Length Value(Example) 1. ownership_code 1 1 2. ownership_text 100 Text File Name: cb.pob Field #/Data Element Length Value(Example) 1. pob_code 6 0XXXXX 2. pob_text 100 Text File Name: cb.race Field #/Data Element Length Value(Example) 1. race_code 6 000000 2. race_text 100 Text File Name: cb.source Field #/Data Element Length Value(Example) 1. source_code 6 0XXXXX 2. source_text 100 Text File Name: cb.special Field #/Data Element Length Value(Example) 1. special_code 6 000000 2. special_text 100 Text File Name: cb.state Field #/Data Element Length Value(Example) 1. state_code 2 00 2. state_name 100 Text File Name: cb.time Field #/Data Element Length Value(Example) 1. time_code 6 000000 2. time_text 100 Text File Name: cb.weekday Field #/Data Element Length Value(Example) 1. weekday_code 6 000000 2. weekday_text 100 Text ============================================================================ Section 7 ============================================================================ BIENNIAL NONFATAL OCCUPATIONAL INJURIES AND ILLNESSES--CHARACTERISTICS DATA (cb) DATABASE ELEMENTS Data Element Length Value(Example) Description age_code 6 000000 Code identifying age of subjects for which data are observed. age_text 100 Text Identifies age of subjects Ex: 20-24 for which data are observed. begin_period 3 A01 Identifies first data Ex: A01=2022 observation within the first year for which data are available for a given time series. begin_year 4 2022 Identifies first year for which data are available for a given time series. In the case of cb, the begin_year will represent the second year of the two-year reference period. For example begin_year=2022 represents 2021-2022 data. case_code 1 A Code identifying type of Ex: A=Industry case for which data are division or available for a given time selected characteristics by age. case_text 100 Text Describes case. category_code 3 00X Code identifying industry, event, or characteristic for which data are available for a given time series. category_text 100 Text Names the industry, event, Ex: MIN=Mining, or characteristic for N1A=Fractures which data are available for a given time series. datatype_code 1 3 Code identifying the datatype of the observation. datatype_text 100 Text Identifies the datatype for any given time series. end_period 3 A01 Identifies last data observation within the last year for which data are available for a given time series. end_year 4 2022 Identifies last year for which data are available for a given time series. In the case of cb, the end_year will represent the second year of the two-year reference period. For example end_year=2022 represents 2021-2022 data. event_code 6 00XXXX Code identifying the event which resulted in the reported injury or illness. event_text 100 Text Names the event which Ex: Falls, slips, resulted in the reported trips injury or illness. footnote_code 10 It varies Identifies footnote for the data series. gender_code 6 000000 Code identifying gender of person experiencing the injury or illness. gender_text 100 Text Names gender of person Ex: Male experiencing the injury or illness. hour_code 6 000000 Code identifying the total hours worked before injury or illness. hour_text 100 Text Number of hours worked before Ex. 1 - 2 hours injury or illness occurred. industry_code 6 000000 Code identifying the industry for which data are observed. industry_text 100 Text Names the industry for Ex: Construction which data are observed. los_code 6 000000 Code identifying the length of service of the person experiencing the injury or illness. los_text 100 Text Names the length of Ex: 1-5 years service of the person experiencing the injury or illness. medical_code 6 CHYXXX Code identifying the type of medical treatment for the injury or illness, if applicable. medical_text 100 Text Names the medical treatment Ex: Any type of the injury or illness, emergency room if applicable. or hospitalization - Yes nature_code 6 0XXXXX Code identifying the nature of the injury or illness. nature_text 100 Text Names the nature of the Ex: Fractures injury or illness. occupation_code 6 000000 Code identifying the occupation of the person experiencing the injury or illness. occupation_text 100 Text Names the occupation of Ex: Roofers the person experiencing the injury or illness. ownership_code 1 1 Code identifying the ownership type. ownership_name 100 Text Names the type of ownership Ex. Detailed of employer. Private Industry period 3 A01 Identifies period for which data Ex: A01=2022 is observed. For cb, the A01 period represents the second year in the biennial reference period. For example, A01=2022 represents 2021-2022 data. pob_code 6 0XXXXX Code identifying the part of body affected. pob_text 100 Text Names the part of body Ex: Knee(s) affected. race_code 6 000000 Code identifying the race of the person experiencing the injury or illness. race_text 100 Text Names the race of the Ex:Asian person experiencing the injury or illness. series_id 17 cbU00X00XXXX3E100 Unique series identifier source_code 6 0XXXXX Code identifying the source of the injury or illness. source_text 100 Text Names the source of the Ex: Acids injury or illness. special_code 6 000000 Code identifying specific injury or illness. special_text 100 Text Name of specific injury or Ex. illness. Musculoskeletal disorders state_code 2 00 Code identifying each state. state_name 100 Text Names of specific state where Ex. Arizona injury or illness occurred. time_code 6 000000 Code identifying the time of the day injury or illness occurred. time_text 100 Text Time of the day when injury or Ex. 12:01AM-4:00AM illness occurred. value 12 2360 Observation for the series. weekday_code 6 000000 Code identifying the day of the week the injury or illness occurred. weekday_text 100 Text Day of the week the injury or Ex. Sunday illness occurred. year 4 2022 Identifies the second year of the biennial period of observation.