| Occupational Injuries and Illnesses - Characteristics Data (CD) | |
| cd.txt | |
| Section Listing | |
| 1. Survey Definition | |
| 2. FTP files listed in the survey directory | |
| 3. Time series, series file, data file, & mapping file definitions and | |
| relationships | |
| 4. Series file format and field definitions | |
| 5. Data file format and field definitions | |
| 6. Mapping file formats and field definitions | |
| 7. Data Element Dictionary | |
| ======================================================================== | |
| Section 1 | |
| ======================================================================== | |
| The following is a definition of: Occupational Injuries and Illnesses - | |
| characteristics data (CD) | |
| Survey Description: Besides injury and illness counts, survey respondents | |
| also are asked to provide additional information for a subset of the most | |
| serious nonfatal cases logged, namely, those that involved at least 1 day | |
| away from work, beyond the day of injury or onset of illness. Employers | |
| answer several questions about these cases, including the demographics of | |
| the worker disabled, the nature of the disabling condition, and the event | |
| and source producing that condition. | |
| Summary Data Available: Detailed breakouts of injury and illness data by | |
| a variety of characteristics, including age, category, event, gender, | |
| industry, length of service, nature, occupation, part of body, race, and | |
| source are available. | |
| Frequency of Observations: Monthly, quarterly, and annual data are | |
| available. | |
| Data Characteristics: Data are reported to one decimal place. | |
| Updating Schedule: OSHS Characteristics data are published annually. | |
| ======================================================================== | |
| Section 2 | |
| ======================================================================== | |
| The following Occupational Injuries and Illnesses - characteristics data | |
| files are on the BLS internet in the sub-directory pub/time.series/cd: | |
| cd.age - Age codes (mapping file) | |
| cd.case - Case codes (mapping file) | |
| cd.category - Category codes (mapping file) | |
| cd.category2 - Category codes (mapping file) | |
| cd.contacts - Contacts for CD survey | |
| cd.data.0.Current - All current year-to-date data | |
| cd.data.1.AllData - All data | |
| cd.event - Event codes (mapping file) | |
| cd.gender - Gender codes (mapping file) | |
| cd.industry - Industry codes (mapping file) | |
| cd.los - LOS codes (mapping file) | |
| cd.nature - Nature codes (mapping file) | |
| cd.occupation - Occupation codes (mapping file) | |
| cd.pob - POB codes (mapping file) | |
| cd.race - Race codes (mapping file) | |
| cd.series - All series with beginning and end dates | |
| cd.source - Source codes (mapping file) | |
| cd.txt - General information | |
| ============================================================================ | |
| Section 3 | |
| ============================================================================ | |
| The definition of a time series, its relationship to and the | |
| interrelationship among series, data and mapping files is detailed below: | |
| A time series refers to a set of data observed over an extended period of | |
| time over consistent time intervals (i.e. monthly, quarterly, semi-annually, | |
| annually). BLS time series data are typically produced at monthly intervals | |
| and represent data ranging from a specific consumer item in a specific | |
| geographic area whose price is gathered monthly to a category of worker in | |
| a specific industry whose employment rate is being recorded monthly, etc. | |
| The FTP files are organized such that data users are provided with the | |
| following set of files to use in their efforts to interpret data files: | |
| a) a series file (only one series file per survey) | |
| b) mapping files | |
| c) data files | |
| The series file contains a set of codes which, together, compose a series | |
| identification code that serves to uniquely identify a single time series. | |
| Additionally, the series file also contains the following series-level | |
| information: | |
| a) the period and year corresponding to the first data observation | |
| b) the period and year corresponding to the most recent data observation. | |
| The mapping files are definition files that contain explanatory text | |
| descriptions that correspond to each of the various codes contained within | |
| each series identification code. | |
| The data file contains one line of data for each observation period | |
| pertaining to a specific time series. Each line contains a reference to | |
| the following: | |
| a) series identification code | |
| b) year in which data is observed | |
| c) period for which data is observed (M13, Q05, and s03 indicate annual | |
| averages) | |
| d) value | |
| e) footnote code (if available) | |
| ============================================================================ | |
| Section 4 | |
| ============================================================================ | |
| File Structure and Format: The following represents the file format used | |
| to define cd.series. Note the Field Numbers are for reference only; they | |
| do not exist in the database. Data files are in ASCII text format. Data | |
| elements are separated by spaces; the first record of each file contains | |
| the column headers for the data elements stored in each field. Each record | |
| ends with a new line character. | |
| Field #/Data Element Length Value(Example) | |
| 1. series_id 17 CDU00000033 | |
| 2. category_code 2 00 | |
| 3. datatype_code 1 3 | |
| 4. casetype_code 1 3 | |
| 5. age_code 4 19XX | |
| 6. los_code 4 0000 | |
| 7. race_code 4 1XXX | |
| 8. gender_code 4 MXXX | |
| 9. pob_code 4 00XX | |
| 10. event_code 4 010X | |
| 11. source_code 4 0110 | |
| 12. occupation_code 4 0090 | |
| 13. nature_code 4 011X | |
| 14. industry_code 4 0100 | |
| 15. footnote_codes 10 It varies | |
| 16. begin_year 4 1992 | |
| 17. begin_period 3 A01 | |
| 18. end_year 4 1999 | |
| 19. end_period 3 A01 | |
| The series_id (CDUSH332233) can be broken out into: | |
| Code = Value | |
| survey abbreviation = CD | |
| seasonal adjustment code = U | |
| case category = SH | |
| detail code = 3322 | |
| datatype code = 3 | |
| case type code = 3 | |
| ============================================================================ | |
| Section 5 | |
| ============================================================================ | |
| File Structure and Format: The following represents the file format used | |
| to define each data file. Note that the field numbers are for reference | |
| only; they do not exist in the database. Data files are in ASCII text | |
| format. Data elements are separated by spaces; the first record of each | |
| file contains the column headers for the data elements stored in each field. | |
| Each record ends with a new line character. | |
| The ml.data file is partitioned into two separate files: | |
| 1. cd.data.0.Current = All current year-to-date data | |
| 2. cd.data.1.AllData = All data | |
| Both of the above data files have the following format: | |
| Field #/Data Element Length Value(Example) | |
| 1. series_id 17 CDUSH332233 | |
| 2. year 4 1998 | |
| 3. period 3 M01 | |
| 4. value 12 2360 | |
| 5. footnote_codes 10 It varies | |
| The series_id (CDUSH332233) can be broken out into: | |
| Code = Value | |
| survey abbreviation = CD | |
| seasonal adjustment code = U | |
| case category = SH | |
| detail code = 3322 | |
| datatype code = 3 | |
| case type code = 3 | |
| ============================================================================ | |
| Section 6 | |
| ============================================================================ | |
| File Structure and Format: The following represents the file format used | |
| to define each mapping file. Note that the field numbers are for reference | |
| only; they do not exist in the database. Mapping files are in ASCII text | |
| format. Data elements are separated by tabs; the first record of each file | |
| contains the column headers for the data elements stored in each field. | |
| Each record ends with a new line character. | |
| File Name: cd.age | |
| Field #/Data Element Length Value(Example) | |
| 1. age_code 4 14XX | |
| 2. age_text 100 Text | |
| File Name: cd.case | |
| Field #/Data Element Length Value(Example) | |
| 1. case_code 1 N | |
| 2. case_text 100 Text | |
| File Name: cd.category | |
| Field #/Data Element Length Value(Example) | |
| 1. case_code 1 3 | |
| 2. category_code 2 09 | |
| 3. category_text 100 Text | |
| File Name: cd.category2 | |
| Field #/Data Element Length Value(Example) | |
| 1. category_code 2 09 | |
| 2. category_text 100 Text | |
| File Name: cd.datatype | |
| Field #/Data Element Length Value(Example) | |
| 1. datatype_code 1 3 | |
| 2. datatype_text 100 Text | |
| File Name: cd.event | |
| Field #/Data Element Length Value(Example) | |
| 1. event_code 4 0XXX | |
| 2. event_text 100 Text | |
| File Name: cd.gender | |
| Field #/Data Element Length Value(Example) | |
| 1. gender_code 4 FXXX | |
| 2. gender_text 100 Text | |
| File Name: cd.industry | |
| Field #/Data Element Length Value(Example) | |
| 1. industry_code 4 0100 | |
| 2. industry_text 100 Text | |
| File Name: cd.los | |
| Field #/Data Element Length Value(Example) | |
| 1. los_code 4 NRXX | |
| 2. los_text 100 Text | |
| File Name: cd.nature | |
| Field #/Data Element Length Value(Example) | |
| 1. nature_code 4 00XX | |
| 2. nature_text 100 Text | |
| File Name: cd.occupation | |
| Field #/Data Element Length Value(Example) | |
| 1. occupation_code 4 0030 | |
| 2. occupation_text 100 Text | |
| File Name: cd.pob | |
| Field #/Data Element Length Value(Example) | |
| 1. pob_code 4 0XXX | |
| 2. pob_text 100 Text | |
| File Name: cd.race | |
| Field #/Data Element Length Value(Example) | |
| 1. race_code 4 2XXX | |
| 2. race_text 100 Text | |
| File Name: cd.source | |
| Field #/Data Element Length Value(Example) | |
| 1. source_code 4 010X | |
| 2. source_text 100 Text | |
| ============================================================================ | |
| Section 7 | |
| ============================================================================ | |
| OCCUPATIONAL INJURIES AND ILLNESSES--CHARACTERISTICS DATA (CD) DATABASE | |
| ELEMENTS | |
| Data Element Length Value(Example) Description | |
| age_code 4 19XX Code identifying age of | |
| subjects for which data | |
| are observed. | |
| age_text 100 Text Identifies age of subjects | |
| Ex: 20-24 for which data are | |
| observed. | |
| begin_period 3 M06 Identifies first data | |
| Ex: M06=June observation within the | |
| first year for which data | |
| are available for a given | |
| time series. | |
| begin_year 4 1992 Identifies first year for | |
| which data are available | |
| for a given time series. | |
| case_code 1 N Code identifying case. | |
| case_text 100 Text Describes case. | |
| casetype_code 1 A Code identifying type of | |
| Ex: A=Industry case for which data are | |
| division or available for a given time | |
| length of absence series. | |
| by age group | |
| category_code 2 09 Code identifying industry, | |
| event, or characteristic | |
| for which data are | |
| available for a given time | |
| series. | |
| category_text 100 Text Names the industry, event, | |
| Ex: 10=Mining, or characteristic for | |
| NB=Fractures which data are available | |
| for a given time series. | |
| datatype_code 1 3 Code identifying the | |
| datatype of the | |
| observation. | |
| end_period 3 A01 Identifies last data | |
| observation within the | |
| last year for which data | |
| are available for a given | |
| time series. | |
| end_year 4 1998 Identifies last year for | |
| which data are available | |
| for a given time series. | |
| event_code 4 010X Code identifying the event | |
| which resulted in the | |
| reported injury or | |
| illness. | |
| event_text 100 Text Names the event which | |
| Ex: Fall from resulted in the reported | |
| roof injury or illness. | |
| footnote_code 10 It varies Identifies footnote for | |
| the data series. | |
| gender_code 4 MXXX Code identifying gender of | |
| person experiencing the | |
| injury or illness. | |
| gender_text 100 Text Names gender of person | |
| Ex: Male experiencing the injury or | |
| illness. | |
| industry_code 4 0100 Code identifying the | |
| industry for which data | |
| are observed. | |
| industry_text 100 Text Names the industry for | |
| Ex: Construction which data are observed. | |
| los_code 4 NRXX Code identifying the | |
| length of service of the | |
| person experiencing the | |
| injury or illness. | |
| los_text 100 Text Names the length of | |
| Ex: 1-5 years service of the person | |
| experiencing the injury or | |
| illness. | |
| nature_code 4 011X Code identifying the | |
| nature of the injury or | |
| illness. | |
| nature_text 100 Text Names the nature of the | |
| Ex: Burns injury or illness. | |
| occupation_code 4 0090 Code identifying the | |
| occupation of the person | |
| experiencing the injury or | |
| illness. | |
| occupation_text 100 Text Names the occupation of | |
| Ex: Dentists the person experiencing | |
| the injury or illness. | |
| period 3 M01 Identifies period for which data | |
| Ex: M01=Jan is observed. | |
| pob_code 4 00XX Code identifying the part | |
| of body affected. | |
| pob_text 100 Text Names the part of body | |
| Ex: Forearm(s) affected. | |
| race_code 4 1XXX Code identifying the race | |
| of the person experiencing | |
| the injury or illness. | |
| race_text 100 Text Names the race of the | |
| Ex: Hispanic person experiencing the | |
| injury or illness. | |
| series_id 17 CDUSH332233 Unique series identifier | |
| source_code 4 0110 Code identifying the | |
| source of the injury or | |
| illness. | |
| source_text 100 Text Names the source of the | |
| Ex: Insecticides injury or illness. | |
| value 12 2360 Observation for the series. | |
| year 4 1998 Identifies year of observation. | |