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Add BLS batch w2 (part 2)

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  1. bls/ep/ep_industry.parquet +3 -0
  2. bls/ep/ep_laytitle.parquet +3 -0
  3. bls/ep/ep_occupation.parquet +3 -0
  4. bls/ep/ep_otjt.parquet +3 -0
  5. bls/ep/ep_rank.parquet +3 -0
  6. bls/ep/ep_seasonal.parquet +3 -0
  7. bls/ep/ep_series.parquet +3 -0
  8. bls/ep/ep_wkex.parquet +3 -0
  9. bls/esbr/README.md +24 -0
  10. bls/esbr/bluchart.gif +3 -0
  11. bls/esbr/cyachart.gif +3 -0
  12. bls/esbr/esbr012_sf.parquet +3 -0
  13. bls/esbr/esbr013_sf.parquet +3 -0
  14. bls/esbr/esbr014_sf.parquet +3 -0
  15. bls/esbr/esbr015_sf.parquet +3 -0
  16. bls/esbr/esbr016_sf.parquet +3 -0
  17. bls/esbr/esbr017_sf.parquet +3 -0
  18. bls/esbr/esbr018_sf.parquet +3 -0
  19. bls/esbr/esbr019_sf.parquet +3 -0
  20. bls/esbr/esbr026_sf.parquet +3 -0
  21. bls/esbr/esbr027_sf.parquet +3 -0
  22. bls/esbr/esbrim1_sf.parquet +3 -0
  23. bls/esbr/esbrim2_sf.parquet +3 -0
  24. bls/esbr/grechart.gif +3 -0
  25. bls/esbr/magchart.gif +3 -0
  26. bls/fa/README.md +23 -0
  27. bls/fa/fa.txt +470 -0
  28. bls/fa/fa_area.parquet +3 -0
  29. bls/fa/fa_case.parquet +3 -0
  30. bls/fa/fa_category.parquet +3 -0
  31. bls/fa/fa_category2.parquet +3 -0
  32. bls/fa/fa_contacts.parquet +3 -0
  33. bls/fa/fa_data_1_AllData.parquet +3 -0
  34. bls/fa/fa_datatype.parquet +3 -0
  35. bls/fa/fa_event.parquet +3 -0
  36. bls/fa/fa_footnote.parquet +3 -0
  37. bls/fa/fa_industry.parquet +3 -0
  38. bls/fa/fa_occupation.parquet +3 -0
  39. bls/fa/fa_series.parquet +3 -0
  40. bls/fa/fa_source.parquet +3 -0
  41. bls/fi/README.md +23 -0
  42. bls/fi/fi.txt +454 -0
  43. bls/fi/fi_area.parquet +3 -0
  44. bls/fi/fi_case.parquet +3 -0
  45. bls/fi/fi_category.parquet +3 -0
  46. bls/fi/fi_category2.parquet +3 -0
  47. bls/fi/fi_contacts.parquet +3 -0
  48. bls/fi/fi_data_1_AllData.parquet +3 -0
  49. bls/fi/fi_datatype.parquet +3 -0
  50. bls/fi/fi_event.parquet +3 -0
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+ # BLS survey `esbr`
2
+
3
+ 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.
4
+
5
+ `*_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.
6
+
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+ | file | rows | columns |
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+ |---|---|---|
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+ | magchart.gif | -1 | |
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bls/fa/README.md ADDED
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1
+ # BLS survey `fa`
2
+
3
+ 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.
4
+
5
+ Survey documentation: `fa.txt`.
6
+
7
+ `*_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.
8
+
9
+ | file | rows | columns |
10
+ |---|---|---|
11
+ | fa.area | 56 | area_code, area_text, display_level, selectable, sort_sequence |
12
+ | fa.case | 12 | case_code, case_text |
13
+ | fa.category | 2874 | case_code, category_code, category_text, display_level, selectable, sort_sequence |
14
+ | fa.category2 | 321 | category_code, category_text |
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+ | fa.contacts | 40 | Safety, Health, and Working Conditions Contacts: Injuries, Illnesses, and Fatalities (IIF) Program |
16
+ | fa.data.1.AllData | 638654 | series_id, year, period, value, footnote_codes |
17
+ | fa.datatype | 1 | datatype_code, datatype_text |
18
+ | fa.event | 188 | event_code, event_text, display_level, selectable, sort_sequence |
19
+ | fa.footnote | 0 | footnote_code, footnote_text |
20
+ | fa.industry | 874 | industry_code, industry_text, display_level, selectable, sort_sequence |
21
+ | fa.occupation | 605 | occupation_code, occupation_text, display_level, selectable, sort_sequence |
22
+ | 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 |
23
+ | fa.source | 550 | source_code, source_text, display_level, selectable, sort_sequence |
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1
+ CENSUS OF FATAL OCCUPATIONAL INJURIES (FA)
2
+ fa.txt
3
+
4
+ Section Listing
5
+
6
+ 1. Survey Definition
7
+ 2. FTP files listed in the survey directory.
8
+ 3. Time series, series file, data file, & mapping file definitions and
9
+ relationships
10
+ 4. Series file format and field definitions
11
+ 5. Data file format and field definitions
12
+ 6. Mapping file formats and field definitions
13
+ 7. Data Element Dictionary
14
+
15
+ ================================================================================
16
+ Section 1
17
+ ================================================================================
18
+
19
+ The following is a definition of: CENSUS OF FATAL OCCUPATIONAL INJURIES (FA)
20
+
21
+ Survey Description:
22
+
23
+ The Bureau of Labor Statistics (BLS) Census of Fatal Occupational Injuries (CFOI) produces
24
+ comprehensive, accurate, and timely counts of fatal work injuries. CFOI is a Federal-State
25
+ cooperative program that has been active in all 50 States and the District of Columbia since 1992.
26
+ To compile counts that are as complete as possible, CFOI uses multiple sources to identify,
27
+ verify, and profile fatal worker injuries. Information about each workplace fatal injury is
28
+ obtained by cross referencing the source records, such as death certificates, workers'
29
+ compensation reports, and Federal and State agency administrative reports. To ensure that fatal
30
+ injuries are work-related, cases are substantiated with two or more independent source documents,
31
+ or a source document and a follow-up questionnaire.
32
+
33
+ CFOI publishes detailed data on case characteristics such as the event or exposure leading to the
34
+ fatal injury, the source of the fatal injury, and worker activity at the time of the incident.
35
+ Event or exposure, source, and other case characteristic codes are currently based on the BLS
36
+ Occupational Injury and Illness Classification System (OIICS) 3, which can be viewed at our Web
37
+ site at https://www.bls.gov/iif/definitions/occupational-injuries-and-illnesses-classification-manual.htm.
38
+
39
+ BLS also tabulates the number of fatal occupational injuries by demographic attributes such as
40
+ age, sex, race, ethnic origin, and occupation. Occupation classifications are currently based
41
+ on the 2018 Standard Occupational Classification [SOC] system. These tabulations are also
42
+ available by major industry sectors or by detailed industry. Industry classifications are currently
43
+ based on the 2022 North American Industrial Classification System [NAICS].
44
+
45
+ Frequency of observations: All data are annual.
46
+
47
+ Data characteristics: All figures are actual numbers of fatal injuries.
48
+
49
+ Updating schedule: Updates to the data become available approximately 12 months following the close
50
+ of the reference year.
51
+
52
+
53
+ ================================================================================
54
+ Section 2
55
+ ================================================================================
56
+
57
+ The following CENSUS OF FATAL OCCUPATIONAL INJURIES files are on the BLS internet in the
58
+ sub-directory pub/time.series/fa:
59
+
60
+ fa.area - Area codes mapping file
61
+ fa.case - Case codes mapping file
62
+ fa.category - Category codes mapping file
63
+ fa.category2 - Category codes mapping file
64
+ fa.contacts - Contacts for CFOI
65
+ fa.data.0.Current - All current year-to-date data
66
+ fa.data.1.AllData - All data
67
+ fa.datatype - Data type codes mapping file
68
+ fa.event - Event codes mapping file
69
+ fa.footnote - Footnote codes mapping file
70
+ fa.industry - Industry codes mapping file
71
+ fa.occupation - Occupation codes mapping file
72
+ fa.series - All series with beginning and end dates
73
+ fa.source - Source codes mapping file
74
+ fa.txt - General information
75
+
76
+ ================================================================================
77
+ Section 3
78
+ ================================================================================
79
+ The definition of a time series, its relationship to and the interrelationship
80
+ among series, data and mapping files is detailed below:
81
+
82
+ A time series refers to a set of data observed over an extended period of time
83
+ over consistent time intervals (e.g. monthly, quarterly, semi-annually,
84
+ annually). BLS time series data are typically produced at monthly intervals and
85
+ represent data ranging from a specific consumer item in a specific geographical
86
+ area whose price is gathered monthly to a category of worker in a specific
87
+ industry whose employment rate is being recorded monthly, etc.
88
+
89
+ The FTP files are organized such that data users are provided with the following
90
+ set of files to use in their efforts to interpret data files:
91
+
92
+ a) a series file (only one series file per survey)
93
+ b) mapping files
94
+ c) data files
95
+
96
+ The series file contains a set of codes which, together, compose a series
97
+ identification code that serves to uniquely identify a single time series.
98
+ Additionally, the series file also contains the following series-level
99
+ information:
100
+
101
+ a) the period and year corresponding to the first data observation
102
+ b) the period and year corresponding to the most recent data observation.
103
+
104
+ The mapping files are definition files that contain explanatory text
105
+ descriptions that correspond to each of the various codes contained within each
106
+ series identification code.
107
+
108
+ The data file contains one line of data for each observation period pertaining
109
+ to a specific time series. Each line contains a reference to the following:
110
+
111
+ a) a series identification code
112
+ b) year in which data is observed
113
+ c) period for which data is observed (A01 annual)
114
+ d) value
115
+ e) footnote code (if available)
116
+ ================================================================================
117
+ Section 4
118
+ ================================================================================
119
+ File Structure and Format: The following represents the file format used to
120
+ define fa.series. Note that the Field Numbers are for reference only; they do
121
+ not exist in the database. Data files are in ASCII text format. Data elements
122
+ are separated by tabs; the first record of each file contains the column headers
123
+ for the data elements stored in each field. Each record ends with a new line
124
+ character.
125
+
126
+ Field #/Data Element Length Value(Example)
127
+
128
+ 1. series_id 17 FAU00X00000080N00
129
+
130
+ 2. category_code* 3 00X
131
+
132
+ 3. datatype_code* 1 8
133
+
134
+ 4. case_code* 1 0
135
+
136
+ 5. industry_code* 6 000000
137
+
138
+ 6. event_code* 6 0000XX
139
+
140
+ 7. source_code* 6 0000XX
141
+
142
+ 8. occupation_code* 6 000000
143
+
144
+ 9. area_code* 3 N00
145
+
146
+ 10. begin_year 4 2023
147
+
148
+ 11. begin_period 3 A01
149
+
150
+ 12. end_year 4 2023
151
+
152
+ 13. end_period 3 A01
153
+
154
+
155
+ *Note fields/data elements denoted with an * indicate parts of the series id that
156
+ are also broken out separately in the fa.series file. A more detailed breakdown of the
157
+ series id is described below.
158
+
159
+
160
+ The series_id (FAU00X00000080N00) can be broken out into:
161
+
162
+ Code Value
163
+
164
+ survey abbreviation = FA
165
+ seasonal(code) = U
166
+ category_code = 00X
167
+
168
+ Detailed category codes (choose one)
169
+ industry_code* = 000000
170
+ event_code* = 0000XX
171
+ source_code* = 0000XX
172
+ occupation_code* = 000000
173
+
174
+ datatype_code = 8
175
+ case_code = 0
176
+ area_code = N00
177
+
178
+
179
+ *Please note that there are four possible detailed category codes (industry, event, source,
180
+ and occupation) that make up the 6 character length in the 7-12 positions of the series_id.
181
+ Any of the four can be selected, but only one at any given time.
182
+
183
+
184
+ ================================================================================
185
+ Section 5
186
+ ================================================================================
187
+ File Structure and Format: The following represents the file format used to
188
+ define each data file. Note that the field numbers are for reference only; they
189
+ do not exist in the database. Data files are in ASCII text format. Data
190
+ elements are separated by tabs; the first record of each file contains the
191
+ column headers for the data elements stored in each field. Each record ends
192
+ with a new line character.
193
+
194
+ The fa.data file is partitioned into two separate files:
195
+
196
+ 1. fa.data.0.Current - All current year-to-date data
197
+ 2. fa.data.1.AllData - All data
198
+
199
+ Both of the above data files have the following format:
200
+
201
+ Field #/Data Element Length Value(Example)
202
+
203
+ 1. series_id 17 FAU00X00000080N00
204
+
205
+ 2. year 4 2023
206
+
207
+ 3. period 3 A01
208
+
209
+ 4. value 12 4609
210
+
211
+ 5. footnote_codes 10 It varies
212
+
213
+
214
+ The series_id (FAU00X00000080N00) can be broken out into:
215
+
216
+ Code Value
217
+
218
+ survey abbreviation = FA
219
+ seasonal(code) = U
220
+ category_code = 00X
221
+
222
+ Detailed category codes (choose one)
223
+ industry_code* = 000000
224
+ event_code* = 0000XX
225
+ source_code* = 0000XX
226
+ occupation_code* = 000000
227
+
228
+ datatype_code = 8
229
+ case_code = 0
230
+ area_code = N00
231
+
232
+ *Please note that there are four possible detailed category codes (industry, event, source,
233
+ and occupation) that make up the 6 character length in the 7-12 positions of the series_id.
234
+ Any of the four can be selected, but only one at any given time.
235
+
236
+
237
+ ================================================================================
238
+ Section 6
239
+ ================================================================================
240
+ File Structure and Format: The following represents the file format used to
241
+ define each mapping file. Note that the field numbers are for reference only;
242
+ they do not exist in the database. Mapping files are in ASCII text format.
243
+ Data elements are separated by tabs; the first record of each file contains the
244
+ column headers for the data elements stored in each field. Each record ends
245
+ with a new line character.
246
+
247
+
248
+ File Name: fa.area
249
+
250
+ Field #/Data Element Length Value(Example)
251
+
252
+ 1. area_code 3 N00
253
+
254
+ 2. area_text 100 Text
255
+
256
+ 3. display_level 2 0
257
+
258
+ 4. selectable 1 T
259
+
260
+ 5. sort_sequence 5 00001
261
+
262
+
263
+ File Name: fa.case
264
+
265
+ Field #/Data Element Length Value(Example)
266
+
267
+ 1. case_code 1 9
268
+
269
+ 2. case_text 100 Text
270
+
271
+
272
+ File Name: fa.category
273
+
274
+ Field #/Data Element Length Value(Example)
275
+
276
+ 1. case_code 1 9
277
+
278
+ 2. category_code 3 00X
279
+
280
+ 3. category_text 100 Text
281
+
282
+ 4. display_level 2 0
283
+
284
+ 5. selectable 1 T
285
+
286
+ 6. sort_sequence 5 00001
287
+
288
+
289
+ File Name: fa.category2
290
+
291
+ Field #/Data Element Length Value(Example)
292
+
293
+ 1. category_code 3 00X
294
+
295
+ 2. category_text 100 Text
296
+
297
+
298
+ File Name: fa.datatype
299
+
300
+ Field #/Data Element Length Value(Example)
301
+
302
+ 1. datatype_code 1 8
303
+
304
+ 2. datatype_text 100 Text
305
+
306
+
307
+ File Name: fa.event
308
+
309
+ Field #/Data Element Length Value(Example)
310
+
311
+ 1. event_code 6 0000XX
312
+
313
+ 2. event_text 100 Text
314
+
315
+ 3. display_level 2 0
316
+
317
+ 4. selectable 1 T
318
+
319
+ 5. sort_sequence 5 00001
320
+
321
+
322
+ File Name: fa.industry
323
+
324
+ Field #/Data Element Length Value(Example)
325
+
326
+ 1. industry_code 6 000000
327
+
328
+ 2. industry_text 100 Text
329
+
330
+ 3. display_level 2 0
331
+
332
+ 4. selectable 1 T
333
+
334
+ 5. sort_sequence 5 00001
335
+
336
+
337
+ File Name: fa.occupation
338
+
339
+ Field #/Data Element Length Value(Example)
340
+
341
+ 1. occupation_code 6 000000
342
+
343
+ 2. occupation_text 100 Text
344
+
345
+ 3. display_level 2 0
346
+
347
+ 4. selectable 1 T
348
+
349
+ 5. sort_sequence 5 00001
350
+
351
+
352
+ File Name: fa.source
353
+
354
+ Field #/Data Element Length Value(Example)
355
+
356
+ 1. source_code 6 0000XX
357
+
358
+ 2. source_text 100 Text
359
+
360
+ 3. display_level 2 0
361
+
362
+ 4. selectable 1 T
363
+
364
+ 5. sort_sequence 5 00001
365
+
366
+
367
+ File Name: fa.footnote
368
+
369
+ Field #/Data Element Length Value(Example)
370
+
371
+ 1. footnote_code 1 P
372
+
373
+ 2. footnote_text 100 Text
374
+
375
+
376
+ ================================================================================
377
+ Section 7
378
+ ================================================================================
379
+ CENSUS OF FATAL OCCUPATIONAL INJURIES (FA) DATABASE ELEMENTS
380
+
381
+
382
+ Data Element Length Value(Example) Description
383
+
384
+
385
+ area_code 3 N00 Unique code used to identify
386
+ a specific geographic region.
387
+
388
+ area_text 100 Text Describes the specific
389
+ geographic region.
390
+
391
+ begin_year 4 2023 Identifies first year for
392
+ which data are available.
393
+
394
+ begin_period 3 A01 Identifies first data
395
+ observation within the first
396
+ year for which data are
397
+ available.
398
+
399
+ category_code 2 00X The code identifies the
400
+ category of the observation.
401
+
402
+ category_text 100 Text Describes the category of the
403
+ observation.
404
+
405
+ case_code 1 S The code identifies the type
406
+ of case for which data are
407
+ available.
408
+
409
+ case_text 100 Text Describes case for which data
410
+ are available.
411
+
412
+ datatype_code 1 8 Code identifying the
413
+ datatype of the observation.
414
+
415
+ datatype_text 100 Text Describes the datatype of the
416
+ observation.
417
+
418
+ end_year 4 2023 Identifies last year for
419
+ which data are available.
420
+
421
+ end_period 3 A01 Identifies last data
422
+ observation within the first
423
+ year for which data are
424
+ available.
425
+
426
+ event_code 6 0000XX Names the event which
427
+ resulted in the reported
428
+ injury.
429
+
430
+ event_text 100 Text Describes the event which
431
+ resulted in the reported
432
+ injury.
433
+
434
+ footnote_code 1 P Identifies footnote for
435
+ the data series.
436
+
437
+ footnote_codes 10 It varies Identifies footnotes for
438
+ the data series.
439
+
440
+ footnote_text 100 Text Contains the text of the
441
+ footnote.
442
+
443
+ industry_code 6 000000 The code identifies the
444
+ industry for which data are
445
+ observed.
446
+
447
+ industry_text 100 Text Describes the industry for
448
+ which data are observed.
449
+
450
+ occupation_code 6 000000 The code identifies the
451
+ occupation of the person
452
+ experiencing the injury.
453
+
454
+ occupation_text 100 Text Describes the occupation of
455
+ the person experiencing the
456
+ injury.
457
+
458
+ series_id 17 FAU00X80000000N00 Code identifying the
459
+ specific series.
460
+
461
+ source_code 6 0000XX The code identifies the
462
+ source of injury.
463
+
464
+ source_text 100 Text Describes the
465
+ source of injury.
466
+
467
+ value 12 Variable Data value for series.
468
+
469
+ year 4 2023 Identifies year of
470
+ observation.
bls/fa/fa_area.parquet ADDED
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bls/fa/fa_footnote.parquet ADDED
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bls/fa/fa_source.parquet ADDED
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+ size 15247
bls/fi/README.md ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # BLS survey `fi`
2
+
3
+ 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.
4
+
5
+ Survey documentation: `fi.txt`.
6
+
7
+ `*_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.
8
+
9
+ | file | rows | columns |
10
+ |---|---|---|
11
+ | fi.area | 67 | area_code, area_text, display_level, selectable, sort_sequence |
12
+ | fi.case | 12 | case_code, case_text |
13
+ | fi.category | 1837 | case_code, category_code, category_text |
14
+ | fi.category2 | 199 | category_code, category_text |
15
+ | fi.contacts | 55 | Safety, Health, and Working Conditions Contacts |
16
+ | fi.data.1.AllData | 3519622 | series_id, year, period, value, footnote_codes |
17
+ | fi.datatype | 1 | datatype_code, datatype_text |
18
+ | fi.event | 192 | event_code, event_text, display_level, selectable, sort_sequence |
19
+ | fi.footnote | 0 | footnote_code, footnote_text |
20
+ | fi.industry | 1151 | industry_code, industry_text, display_level, selectable, sort_sequence |
21
+ | fi.occupation | 764 | occupation_code, occupation_text, display_level, selectable, sort_sequence |
22
+ | 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 |
23
+ | fi.source | 603 | source_code, source_text, display_level, selectable, sort_sequence |
bls/fi/fi.txt ADDED
@@ -0,0 +1,454 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ CENSUS OF FATAL OCCUPATIONAL INJURIES (FI)
2
+ fi.txt
3
+
4
+ Section Listing
5
+
6
+ 1. Survey Definition
7
+ 2. FTP files listed in the survey directory.
8
+ 3. Time series, series file, data file, & mapping file definitions and
9
+ relationships
10
+ 4. Series file format and field definitions
11
+ 5. Data file format and field definitions
12
+ 6. Mapping file formats and field definitions
13
+ 7. Data Element Dictionary
14
+
15
+ ================================================================================
16
+ Section 1
17
+ ================================================================================
18
+
19
+ The following is a definition of: CENSUS OF FATAL OCCUPATIONAL INJURIES (FI)
20
+
21
+ Survey Description:
22
+
23
+ The Bureau of Labor Statistics (BLS) Census of Fatal Occupational Injuries
24
+ (CFOI)
25
+ program collects data on fatal occupational injuries that is comprehensive,
26
+ timely, and verifiable. All groups of employees are included in CFOI, including
27
+ private sector workers, government workers, self-employed, and family
28
+ businesses. The program is a cooperative venture between the BLS and State
29
+ agencies. The State agencies collect, code, and verify fatality data which are
30
+ collected from workers' compensation reports, death certificates, accident
31
+ reports and news media, as well as from Federal agency sources provided by BLS.
32
+ All 50 States and the District of Columbia are represented in the CFOI data.
33
+
34
+ The data are ultimately sent to BLS for tabulation of national occupational
35
+ fatality numbers. BLS provides detailed data on case characteristics such as
36
+ the event or exposure leading to the fatality, the source of the fatality, and
37
+ worker activity at the time of the incident. Event or exposure and source codes
38
+ are based on the BLS Occupational Injury and Illness Classification structure
39
+ which can be viewed at our Web site at http://www.bls.gov/iif/. BLS
40
+ also tabulates the number of occupational fatalities by demographic attributes
41
+ such as age, sex, race, ethnic origin,and occupation. (Occupation
42
+ classifications are based on the 2000 Standard Occupational Classification System.)
43
+ These tabulations may be summarized by major industry sectors or by detailed
44
+ industry (based on the 2002 North American Industrial Classification System.) A
45
+ distinction is made between private sector and government industries.
46
+
47
+ Summary data available: The Census of Fatal Occupational Injuries data series
48
+ started in 1992.
49
+
50
+ Frequency of observations: All data are annual.
51
+
52
+ Data characteristics: All figures are actual numbers of fatalities.
53
+
54
+ Updating schedule: Updates to the data become available approximately 8 months
55
+ following the close of the reference year.
56
+
57
+
58
+ ================================================================================
59
+ Section 2
60
+ ================================================================================
61
+
62
+ The following CENSUS OF FATAL OCCUPATIONAL INJURIES files is on the BLS internet
63
+ in the sub-directory pub/time.series/fi:
64
+
65
+ fi.area - Area codes mapping file
66
+ fi.case - Case codes mapping file
67
+ fi.category - Category codes mapping file
68
+ fi.category2 - Category codes mapping file
69
+ fi.contacts - Contacts for CFOI
70
+ fi.data.0.Current - All current year-to-date data
71
+ fi.data.1.AllData - All data
72
+ fi.datatype - Datatype codes mapping file
73
+ fi.event - Event codes mapping file
74
+ fi.footnote - Footnote codes mapping file
75
+ fi.industry - Industry codes mapping file
76
+ fi.occupation - Occupation codes mapping file
77
+ fi.series - All series with beginning and end dates
78
+ fi.source - Source codes mapping file
79
+ fi.txt - General information
80
+
81
+ ================================================================================
82
+ Section 3
83
+ ================================================================================
84
+ The definition of a time series, its relationship to and the interrelationship
85
+ among series, data and mapping files is detailed below:
86
+
87
+ A time series refers to a set of data observed over an extended period of time
88
+ over consistent time intervals (e.g. monthly, quarterly, semi-annually,
89
+ annually). BLS time series data are typically produced at monthly intervals and
90
+ represent data ranging from a specific consumer item in a specific geographical
91
+ area whose price is gathered monthly to a category of worker in a specific
92
+ industry whose employment rate is being recorded monthly, etc.
93
+
94
+ The FTP files are organized such that data users are provided with the following
95
+ set of files to use in their efforts to interpret data files:
96
+
97
+ a) a series file (only one series file per survey)
98
+ b) mapping files
99
+ c) data files
100
+
101
+ The series file contains a set of codes which, together, compose a series
102
+ identification code that serves to uniquely identify a single time series.
103
+ Additionally, the series file also contains the following series-level
104
+ information:
105
+
106
+ a) the period and year corresponding to the first data observation
107
+ b) the period and year corresponding to the most recent data observation.
108
+
109
+ The mapping files are definition files that contain explanatory text
110
+ descriptions that correspond to each of the various codes contained within each
111
+ series identification code.
112
+
113
+ The data file contains one line of data for each observation period pertaining
114
+ to a specific time series. Each line contains a reference to the following:
115
+
116
+ a) a series identification code
117
+ b) year in which data is observed
118
+ c) period for which data is observed (A01 annual)
119
+ d) value
120
+ e) footnote code (if available)
121
+ ================================================================================
122
+ Section 4
123
+ ================================================================================
124
+ File Structure and Format: The following represents the file format used to
125
+ define fi.series. Note that the Field Numbers are for reference only; they do
126
+ not exist in the database. Data files are in ASCII text format. Data elements
127
+ are separated by tabs; the first record of each file contains the column headers
128
+ for the data elements stored in each field. Each record ends with a new line
129
+ character.
130
+
131
+ Field #/Data Element Length Value(Example)
132
+
133
+ 1. series_id 17 FIU00X80000000N00
134
+
135
+ 2. category_code 3 00X
136
+
137
+ 3. datatype_code 1 8
138
+
139
+ 4. case_code 1 0
140
+
141
+ 5. industry_code 6 000000
142
+
143
+ 6. event_code 6 0000XX
144
+
145
+ 7. source_code 6 0000XX
146
+
147
+ 8. occupation_code 6 000000
148
+
149
+ 9. area_code 3 N00
150
+
151
+ 9. begin_year 4 1992
152
+
153
+ 9. begin_period 3 A01
154
+
155
+ 9. end_year 4 2000
156
+
157
+ 10. end_period 3 A01
158
+
159
+
160
+ The series_id (FIU00X80000000N00) can be broken out into:
161
+
162
+ Code Value
163
+
164
+ survey abbreviation = FI
165
+ seasonal(code) = U
166
+ category_code = 00X
167
+ datatype_code = 8
168
+ case_code = 0
169
+ industry_code = 000000
170
+ event_code = 0000XX
171
+ source_code = 0000XX
172
+ occupation_code = 000000
173
+ area_code = N00
174
+
175
+
176
+
177
+ ================================================================================
178
+ Section 5
179
+ ================================================================================
180
+ File Structure and Format: The following represents the file format used to
181
+ define each data file. Note that the field numbers are for reference only; they
182
+ do not exist in the database. Data files are in ASCII text format. Data
183
+ elements are separated by tabs; the first record of each file contains the
184
+ column headers for the data elements stored in each field. Each record ends
185
+ with a new line character.
186
+
187
+ The fi.data file is partitioned into two separate files:
188
+
189
+ 1. fi.data.0.Current - All current year-to-date data
190
+ 2. fi.data.1.AllData - All data
191
+
192
+ Both of the above data files have the following format:
193
+
194
+ Field #/Data Element Length Value(Example)
195
+
196
+ 1. series_id 17 FIU00X80000000N00
197
+
198
+ 2. year 4 1996
199
+
200
+ 3. period 3 A01
201
+
202
+ 4. value 12 6202
203
+
204
+ 5. footnote_codes 10 It varies
205
+
206
+
207
+ The series_id (FIU00X80000000N00) can be broken out into:
208
+
209
+ Code Value
210
+
211
+ survey abbreviation = FI
212
+ seasonal(code) = U
213
+ category_code = 00X
214
+ datatype_code = 8
215
+ case_code = 0
216
+ industry_code = 000000
217
+ event_code = 0000XX
218
+ source_code = 0000XX
219
+ occupation_code = 000000
220
+ area_code = N00
221
+
222
+ ================================================================================
223
+ Section 6
224
+ ================================================================================
225
+ File Structure and Format: The following represents the file format used to
226
+ define each mapping file. Note that the field numbers are for reference only;
227
+ they do not exist in the database. Mapping files are in ASCII text format.
228
+ Data elements are separated by tabs; the first record of each file contains the
229
+ column headers for the data elements stored in each field. Each record ends
230
+ with a new line character.
231
+
232
+
233
+ File Name: fi.area
234
+
235
+ Field #/Data Element Length Value(Example)
236
+
237
+ 1. area_code 3 N00
238
+
239
+ 2. area_text 100 Text
240
+
241
+ 3. display_level 2 0
242
+
243
+ 4. selectable 1 T
244
+
245
+ 5. sort_sequence 5 00001
246
+
247
+
248
+ File Name: fi.case
249
+
250
+ Field #/Data Element Length Value(Example)
251
+
252
+ 1. case_code 1 9
253
+
254
+ 2. case_text 100 Text
255
+
256
+
257
+ File Name: fi.category
258
+
259
+ Field #/Data Element Length Value(Example)
260
+
261
+ 1. case_code 1 9
262
+
263
+ 2. category_code 3 00X
264
+
265
+ 3. category_text 100 Text
266
+
267
+
268
+ File Name: fi.category2
269
+
270
+ Field #/Data Element Length Value(Example)
271
+
272
+ 1. category_code 3 00X
273
+
274
+ 2. category_text 100 Text
275
+
276
+
277
+ File Name: fi.datatype
278
+
279
+ Field #/Data Element Length Value(Example)
280
+
281
+ 1. datatype_code 1 8
282
+
283
+ 2. datatype_text 100 Text
284
+
285
+
286
+ File Name: fi.event
287
+
288
+ Field #/Data Element Length Value(Example)
289
+
290
+ 1. event_code 6 0000XX
291
+
292
+ 2. event_text 100 Text
293
+
294
+ 3. display_level 2 0
295
+
296
+ 4. selectable 1 T
297
+
298
+ 5. sort_sequence 5 00001
299
+
300
+
301
+ File Name: fi.footnote
302
+
303
+ Field #/Data Element Length Value(Example)
304
+
305
+ 1. footnote_code 1 P
306
+
307
+ 2. footnote_text 100 Text
308
+
309
+
310
+ File Name: fi.industry
311
+
312
+ Field #/Data Element Length Value(Example)
313
+
314
+ 1. industry_code 6 000000
315
+
316
+ 2. industry_text 100 Text
317
+
318
+ 3. display_level 2 0
319
+
320
+ 4. selectable 1 T
321
+
322
+ 5. sort_sequence 5 00001
323
+
324
+
325
+ File Name: fi.occupation
326
+
327
+ Field #/Data Element Length Value(Example)
328
+
329
+ 1. occupation_code 6 000000
330
+
331
+ 2. occupation_text 100 Text
332
+
333
+ 3. display_level 2 0
334
+
335
+ 4. selectable 1 T
336
+
337
+ 5. sort_sequence 5 00001
338
+
339
+
340
+ File Name: fi.source
341
+
342
+ Field #/Data Element Length Value(Example)
343
+
344
+ 1. source_code 6 0000XX
345
+
346
+ 2. source_text 100 Text
347
+
348
+ 3. display_level 2 0
349
+
350
+ 4. selectable 1 T
351
+
352
+ 5. sort_sequence 5 00001
353
+
354
+ ================================================================================
355
+ Section 7
356
+ ================================================================================
357
+ CENSUS OF FATAL OCCUPATIONAL INJURIES (CF) DATABASE ELEMENTS
358
+
359
+
360
+ Data Element Length Value(Example) Description
361
+
362
+
363
+ area_code 3 N00 Unique code used to identify
364
+ a specific geographic region.
365
+
366
+ area_text 100 Text Describes the specific
367
+ geographic region.
368
+
369
+ begin_year 4 1992 Identifies first year for
370
+ which data are available.
371
+
372
+ begin_period 3 A01 Identifies first data
373
+ observation within the first
374
+ year for which data are
375
+ available.
376
+
377
+ category_code 2 00X The code identifies the
378
+ category of the observation.
379
+
380
+ category_text 100 Text Describes the category of the
381
+ observation.
382
+
383
+ case_code 1 S The code identifies the type
384
+ of case for which data are
385
+ available.
386
+
387
+ case_text 100 Text Describes case for which data
388
+ are available.
389
+
390
+ datatype_code 1 8 Code identifying the
391
+ datatype of the observation.
392
+
393
+ datatype_text 100 Text Describes the datatype of the
394
+ observation.
395
+
396
+ end_year 4 2000 Identifies last year for
397
+ which data are available.
398
+
399
+ end_period 3 A01 Identifies last data
400
+ observation within the first
401
+ year for which data are
402
+ available.
403
+
404
+ event_code 6 0000XX Names the event which
405
+ resulted in the reported
406
+ injury.
407
+
408
+ event_text 100 Text Describes the event which
409
+ resulted in the reported
410
+ injury.
411
+
412
+ footnote_code 1 P Identifies footnote for
413
+ the data series.
414
+
415
+ footnote_codes 10 It varies Identifies footnotes for
416
+ the data series.
417
+
418
+ footnote_text 100 Text Contains the text of the
419
+ footnote.
420
+
421
+ industry_code 6 000000 The code identifies the
422
+ industry for which data are
423
+ observed.
424
+
425
+ industry_text 100 Text Describes the industry for
426
+ which data are observed.
427
+
428
+ occupation_code 6 000000 The code identifies the
429
+ occupation of the person
430
+ experiencing the injury.
431
+
432
+ occupation_text 100 Text Describes the occupation of
433
+ the person experiencing the
434
+ injury.
435
+
436
+ series_id 17 FIU00X80000000N00 Code identifying the
437
+ specific series.
438
+
439
+ source_code 6 0000XX The code identifies the
440
+ source of injury.
441
+
442
+ source_text 100 Text Describes the
443
+ source of injury.
444
+
445
+ value 12 Variable Data value for series.
446
+
447
+ year 4 1990 Identifies year of
448
+ observation.
449
+
450
+
451
+
452
+
453
+
454
+
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