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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
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Section 1
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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.
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Section 2
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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
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Section 3
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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)
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Section 4
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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.
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Section 5
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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
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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.