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Add BLS batch w1

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  1. bls/cc/README.md +18 -0
  2. bls/cc/cc.contacts +56 -0
  3. bls/cc/cc.txt +305 -0
  4. bls/cc/cc_benefit.parquet +3 -0
  5. bls/cc/cc_costfactor.parquet +3 -0
  6. bls/cc/cc_data_1_AllData.parquet +3 -0
  7. bls/cc/cc_footnote.parquet +3 -0
  8. bls/cc/cc_industryocc.parquet +3 -0
  9. bls/cc/cc_sector.parquet +3 -0
  10. bls/cc/cc_series.parquet +3 -0
  11. bls/cd/README.md +28 -0
  12. bls/cd/cd.txt +498 -0
  13. bls/cd/cd_age.parquet +3 -0
  14. bls/cd/cd_case.parquet +3 -0
  15. bls/cd/cd_category.parquet +3 -0
  16. bls/cd/cd_category2.parquet +3 -0
  17. bls/cd/cd_contacts.parquet +3 -0
  18. bls/cd/cd_data_1_AllData.parquet +3 -0
  19. bls/cd/cd_datatype.parquet +3 -0
  20. bls/cd/cd_event.parquet +3 -0
  21. bls/cd/cd_footnote.parquet +3 -0
  22. bls/cd/cd_gender.parquet +3 -0
  23. bls/cd/cd_industry.parquet +3 -0
  24. bls/cd/cd_los.parquet +3 -0
  25. bls/cd/cd_nature.parquet +3 -0
  26. bls/cd/cd_occupation.parquet +3 -0
  27. bls/cd/cd_pob.parquet +3 -0
  28. bls/cd/cd_race.parquet +3 -0
  29. bls/cd/cd_series.parquet +3 -0
  30. bls/cd/cd_source.parquet +3 -0
  31. bls/ce/README.md +73 -0
  32. bls/ce/ce.txt +680 -0
  33. bls/ce/ce_contacts.parquet +3 -0
  34. bls/ce/ce_data_00a_TotalNonfarm_Employment.parquet +3 -0
  35. bls/ce/ce_data_01a_CurrentSeasAE.parquet +3 -0
  36. bls/ce/ce_data_02b_AllRealEarningsAE.parquet +3 -0
  37. bls/ce/ce_data_03c_AllRealEarningsPE.parquet +3 -0
  38. bls/ce/ce_data_05a_TotalPrivate_Employment.parquet +3 -0
  39. bls/ce/ce_data_05b_TotalPrivate_AllEmployeeHoursAndEarnings.parquet +3 -0
  40. bls/ce/ce_data_05c_TotalPrivate_ProductionEmployeeHoursAndEarnings.parquet +3 -0
  41. bls/ce/ce_data_0_AllCESSeries.parquet +3 -0
  42. bls/ce/ce_data_10a_MiningAndLogging_Employment.parquet +3 -0
  43. bls/ce/ce_data_10b_MiningAndLogging_AllEmployeeHoursAndEarnings.parquet +3 -0
  44. bls/ce/ce_data_10c_MiningAndLogging_ProductionEmployeeHoursAndEarnings.parquet +3 -0
  45. bls/ce/ce_data_20a_Construction_Employment.parquet +3 -0
  46. bls/ce/ce_data_20b_Construction_AllEmployeeHoursAndEarnings.parquet +3 -0
  47. bls/ce/ce_data_20c_Construction_ProductionEmployeeHoursAndEarnings.parquet +3 -0
  48. bls/ce/ce_data_30a_Manufacturing_Employment.parquet +3 -0
  49. bls/ce/ce_data_30b_Manufacturing_AllEmployeeHoursAndEarnings.parquet +3 -0
  50. bls/ce/ce_data_30c_Manufacturing_ProductionEmployeeHoursAndEarnings.parquet +3 -0
bls/cc/README.md ADDED
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1
+ # BLS survey `cc`
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+
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+ Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/cc/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics.
4
+
5
+ Survey documentation: `cc.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
+ | cc.benefit | 30 | benefit_code, benefit_title, display_level, selectable, sort_sequence |
12
+ | cc.contacts | -1 | |
13
+ | cc.costfactor | 2 | costfactor_code, costfactor_text |
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+ | cc.data.1.AllData | 95622 | series_id, year, period, value, footnote_codes |
15
+ | cc.footnote | 2 | footnote_code, footnote_text |
16
+ | cc.industryocc | 181 | industryocc_code, industryocc_title, display_level, selectable, sort_sequence |
17
+ | cc.sector | 10 | sector_code, sector_title, display_level, selectable, sort_sequence |
18
+ | cc.series | 5075 | series_id, sector_code, benefit_code, industryocc_code, costfactor_code, footnote_codes, begin_year, begin_period, end_year, end_periodCCU010000100000D, 0, 10000, 100000, D, , 1994, Q05, 2003, Q04 |
bls/cc/cc.contacts ADDED
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1
+
2
+ Employment Cost Trends Contacts
3
+
4
+
5
+ The Office of Compensation Levels and Trends, Branch of Survey Data
6
+ Analysis and Publications, will be glad to assist you with questions
7
+ about the Employment Cost Index, the Employer Costs for Employee
8
+ Compensation, the Employee Benefits Survey, Occupational Compensation
9
+ Surveys, and the National Compensation Survey (formerly known as
10
+ COMP2000).
11
+
12
+ E-mail Address: ocltinfo@bls.gov
13
+
14
+ Phone: (202) 691-6199 (Monday - Friday, 8:30 A.M. - 4:30 P.M.)
15
+
16
+ FAX: (202) 691-6647
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+
18
+ TDD phone: (202) 691-5987
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+ TDD Message Referral Phone Number: 1-800-326-2577
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+
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+ Mailing address:
22
+ Bureau of Labor Statistics
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+ OCLT/SPCB - Suite 4175
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+ 2 Massachusetts Ave., N.E.
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+ Washington, D.C. 20212-0001
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+
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+
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+
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+ Other Ways to Access our Data:
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+
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+ Federal Depository Libraries are free to the public and receive all BLS publications.
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+ Locations can be found at http://www.access.gpo.gov/su_docs/fdlp/index.html.
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+
34
+ Sales Publications:
35
+
36
+ BLS Chicago Sales Office (312) 353-1880
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+ Mailing address:
38
+ Bureau of Labor Statistics
39
+ Publications Sales Center
40
+ P.O. Box 2145
41
+ Chicago, IL 60690
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+
43
+ GPO Ordering Information: URL: http://bookstore.gpo.gov/locations/index.html
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+
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+
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+ Subscriptions:
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+
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+ GPO Superintendent of Documents
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+ P.O. Box 371954
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+ Pittsburgh, PA 15250-7954
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+
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+ BLS Recorded announcements: (202) 691-5200
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+
54
+ BLS Fax On Demand: (202) 691-6325 (ECI and ECEC News Releases)
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+
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+ ******************************************************************************
bls/cc/cc.txt ADDED
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1
+
2
+ Employer Costs for Employee Compensation(CC)
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+ cc.txt
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+
5
+ Section Listing
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+
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+ 1. Survey Definition
8
+ 2. FTP files listed in the survey directory.
9
+ 3. Time series, series file, data file, & mapping file definitions and 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
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+
15
+ ================================================================================
16
+ Section 1
17
+ ================================================================================
18
+
19
+ The following is a definition of: EMPLOYER COSTS FOR EMPLOYEE COMPENSATION (CC)
20
+
21
+ Survey Description: The Employer Costs for Employee Compensation (ECEC) is a measure
22
+ of the cost of labor. The compensation series includes wages and salaries plus employer
23
+ costs for individual employee benefits. Employee benefit costs are calculated
24
+ as cents-per-hour-worked for individual benefits ranging from employer payments for
25
+ Social Security to paid time off for holidays.
26
+
27
+ The survey covers all occupations in the civilian economy, which includes
28
+ the total private economy (excluding farms and households), and the public
29
+ sector (excluding the Federal government). Statistics are published for
30
+ the private and public sectors separately, and the data are combined in a
31
+ measure for the civilian economy.
32
+
33
+ The data are collected from a probability sample of about 30,000 occupations
34
+ with 7,200 sample establishments in private industry and about 3,750
35
+ occupations within 800 sample establishments in State and local
36
+ governments. The sample establishments are classified in industry
37
+ categories based on the 1987 Standard Industrial Classification (SIC), as
38
+ defined by the U.S. Office of Management and Budget. Within an
39
+ establishment, specific job categories are selected to represent broader
40
+ occupational definitions. Since March 1995, the jobs have been classified
41
+ according to the 1990 Census of Occupations.
42
+
43
+ Summary Data Available: For private industry workers, data are
44
+ available for total compensation costs, for wages and salaries alone, and
45
+ for individual benefit costs alone. Data are available by major occupational
46
+ and industry groups, as well as by region and bargaining status. Information
47
+ is available from 1986 to the present for most of these series.
48
+
49
+ For State and local governments and the civilian economy (State and local
50
+ governments plus private industry), data are available for major occupational
51
+ and selected industry series. The data for these series are provided from
52
+ 1991 to present.
53
+
54
+ Frequency of Observations: Data are available annually from 1986 to 1991.
55
+ Data will become available quarterly beginning in June 2002.
56
+
57
+ Data Characteristics: All costs per hour worked are stored to the nearest
58
+ penny. All percents are stored with one decimal place.
59
+
60
+ Updating Schedule: Updates are available about eight weeks following the end
61
+ of the reference quarter. Reference quarters end in March, June, September,
62
+ and December.
63
+
64
+ ==================================================================================
65
+ Section 2
66
+ ==================================================================================
67
+
68
+ The following Employer Costs for Employee Compensation files are on the BLS internet in the
69
+ sub-directory pub/time.series/ec:
70
+
71
+ cc.benefit - Benefits codes mapping file
72
+ cc.costfactor - Cost factor codes mapping file
73
+ cc.data.0.Current - All current year-to-date data
74
+ cc.data.1.AllData - All data
75
+ cc.industryocc - Industry occupational code mapping file
76
+ cc.sector - Sector codes mapping file
77
+ cc.series - All series and their beginning and end dates
78
+ cc.txt - General information
79
+
80
+ =================================================================================
81
+ Section 3
82
+ =================================================================================
83
+ The definition of a time series, its relationship to and the interrelationship
84
+ among series, data and mapping files is detailed below:
85
+
86
+ A time series refers to a set of data observed over an extended period of time
87
+ over consistent time intervals (i.e. monthly, quarterly, semi-annually, annually).
88
+ BLS time series data are typically produced at monthly intervals and represent data
89
+ ranging from a specific consumer item in a specific geographical area whose price
90
+ is gathered monthly to a category of worker in a specific industry whose employment
91
+ rate is being recorded monthly, etc.
92
+
93
+ The FTP files are organized such that data users are provided with the following
94
+ set of files to use in their efforts to interpret data files:
95
+
96
+ a) a series file (only one series file per survey)
97
+ b) mapping files
98
+ c) data files
99
+
100
+ The series file contains a set of codes which, together, compose a series
101
+ identification code that serves to uniquely identify a single time series.
102
+ Additionally, the series file also contains the following series-level information:
103
+
104
+ a) the period and year corresponding to the first data observation
105
+ b) the period and year corresponding to the most recent data observation.
106
+
107
+ The mapping files are definition files that contain explanatory text descriptions
108
+ that correspond to each of the various codes contained within each series
109
+ identification code.
110
+
111
+ The data file contains one line of data for each observation period pertaining to a
112
+ specific time series. Each line contains a reference to the following:
113
+
114
+ a) a series identification code
115
+ b) year in which data is observed
116
+ c) period for which data is observed (M13, Q05, and S03 indicate annual averages)
117
+ d) value
118
+ e) footnote code (if available)
119
+
120
+ =================================================================================
121
+ Section 4
122
+ =================================================================================
123
+ File Structure and Format: The following represents the file format used to define
124
+ cc.series. Note that the Field Numbers are for reference only; they do not exist
125
+ in the database. Data files are in ASCII text format. Data elements are separated
126
+ by tabs; the first record of each file contains the column headers for the data
127
+ elements stored in each field. Each record ends with a new line character.
128
+
129
+ Field #/Data Element Length Value (Example)
130
+
131
+ 1. series_id 17 CCU010000100000P
132
+
133
+ 2. sector_code 1 0
134
+
135
+ 3. benefit_code 5 10000
136
+
137
+ 4. industryocc_code 6 100000
138
+
139
+ 5. costfactor_code 1 P
140
+
141
+ 6. footnote_codes 10 It varies
142
+
143
+ 7. begin_year 4 1994
144
+
145
+ 8. begin_period 3 Q05
146
+
147
+ 9. end_year 4 2001
148
+
149
+ 10. end_period 3 Q05
150
+
151
+
152
+ The series_id (CCU010000100000P) can be broken out into:
153
+
154
+ Code Value
155
+
156
+ survey abbreviation = CC
157
+ seasanol (code) = U
158
+ sector_code = 0
159
+ benefit_code = 10000
160
+ industryocc_code = 100000
161
+ costfactor_code = P
162
+
163
+ ==================================================================================
164
+ Section 5
165
+ ==================================================================================
166
+ File Structure and Format: The following represents the file format used to define
167
+ each data file. Note that the field numbers are for reference only; they do not
168
+ exist in the database. Data files are in ASCII text format. Data elements are
169
+ separated by tabs; the first record of each file contains the column headers for
170
+ the data elements stored in each field. Each record ends with a new line character.
171
+
172
+ The cc.data file is partitioned into two separate files:
173
+
174
+ 1. cc.data.0.Current - All current year-to-date data
175
+ 2. cc.data.1.AllData - All data
176
+
177
+ Both of the above data files have the following format:
178
+
179
+ Field #/Data Element Length Value(Example)
180
+
181
+ 1. series_id 17 CCU010000100000P
182
+
183
+ 2. year 4 1994
184
+
185
+ 3. period 3 Q05
186
+
187
+ 4. value 12 11.06
188
+
189
+ 5. footnote_codes 10 It varies
190
+
191
+
192
+ The series_id (CCU010000100000P) can be broken out into:
193
+
194
+ Code Value
195
+
196
+ survey abbreviation = CC
197
+ seasonal (code) = U
198
+ sector_code = 0
199
+ benefit_code = 10000
200
+ industryocc_code = 100000
201
+ costfactor_code = P
202
+
203
+
204
+ ================================================================================
205
+ Section 6
206
+ ================================================================================
207
+ File Structure and Format: The following represents the file format used to define
208
+ each mapping file. Note that the field numbers are for reference only; they do not
209
+ exist in the database. Mapping files are in ASCII text format. Data elements are
210
+ separated by tabs; the first record of each file contains the column headers for the
211
+ data elements stored in each field. Each record ends with a new line character.
212
+
213
+ File Name: cc.benefit
214
+
215
+ Field #/Data Element Length Value(Example)
216
+
217
+ 1. benefit_code 5 20000
218
+
219
+ 2. benefit_title 50 Text
220
+
221
+
222
+ File Name: cc.costfactor
223
+
224
+ Field #/Data Element Length Value(Example)
225
+
226
+ 1. costfactor_code 1 D
227
+
228
+ 2. costfactor_text 50 Text
229
+
230
+
231
+ File Name: cc.industryocc
232
+
233
+ Field #/Data Element Length Value(Example)
234
+
235
+ 1. industryocc_code 6 000001
236
+
237
+ 2. industryocc_title 50 Text
238
+
239
+
240
+ File Name: cc.sector
241
+
242
+ Field #/Data Element Length Value(Example)
243
+
244
+ 1. sector_code 1 1
245
+
246
+ 2. sector_title 50 Text
247
+
248
+
249
+ =========================================================================================
250
+ Section 7
251
+ =========================================================================================
252
+ EMPLOYER COSTS FOR EMPLOYEE COMPENSATION (CC) DATABASE ELEMENTS
253
+
254
+
255
+ Data Element Length Value(Example) Description
256
+
257
+ begin_period 3 Q01-Q05 Identifies first data observation
258
+ Ex: Q01=1st Quarter within the first year for which
259
+ (Q=Quarterly, Q05= data is available for a given
260
+ Annual Avg) time series.
261
+
262
+ begin_year 4 YYYY Identifies first year for which
263
+ Ex: 1985 data is available for a given
264
+ time series.
265
+
266
+ benefit_code 5 20000 Benefit code.
267
+
268
+ benefit_title 50 Text Benefit title.
269
+
270
+ costfactor_code 1 D Cost factor code.
271
+
272
+ costfactor_text 50 Text Cosr factor title.
273
+
274
+ end_period 3 Q01-Q05 Identifies last data observation
275
+ Ex: Q01=1st Quarter within the last year for which
276
+ (Q=Quarterly, Q05= data is available for a given
277
+ Annual Avg) time series.
278
+
279
+ end_year 4 YYYY Identifies last year for which
280
+ Ex: 1990 data is available for a given
281
+ time series.
282
+
283
+ footnote_codes 10 It varies It varies
284
+
285
+
286
+ industryocc_code 6 000001 Industry occupational code.
287
+
288
+ industryocc_title 50 Text Industry occupational TITLE.
289
+
290
+ sector_code 1 1 Sector code.
291
+
292
+ sector_title 50 Text Sector title.
293
+
294
+ series_id 17 Series identifier Code identifying the specific
295
+ Ex.CCU010000100000P series.
296
+
297
+ value 12 Variable Data value for series.
298
+
299
+
300
+ year 4 YYYY Identifies year of observation.
301
+ Ex: 1990
302
+
303
+
304
+
305
+
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bls/cd/README.md ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # BLS survey `cd`
2
+
3
+ Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/cd/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics.
4
+
5
+ Survey documentation: `cd.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
+ | cd.age | 10 | age_code, age_text |
12
+ | cd.case | 10 | case_code, case_text |
13
+ | cd.category | 980 | datatype_code, case_code, category_code, category_text |
14
+ | cd.category2 | 106 | 00, Total private industry |
15
+ | cd.contacts | 55 | Safety, Health, and Working Conditions Contacts |
16
+ | cd.data.1.AllData | 2676946 | series_id, year, period, value, footnote_codes |
17
+ | cd.datatype | 3 | datatype_code, datatype_text |
18
+ | cd.event | 265 | event_code, event_text, display_level, selectable, sort_sequence |
19
+ | cd.footnote | 1 | footnote_code, footnote_text |
20
+ | cd.gender | 4 | gender_code, gender_text |
21
+ | cd.industry | 926 | industry_code, industry_text, display_level, selectable, sort_sequence |
22
+ | cd.los | 6 | los_code, los_text |
23
+ | cd.nature | 498 | nature_code, nature_text |
24
+ | cd.occupation | 489 | occupation_code, occupation_text |
25
+ | cd.pob | 169 | pob_code, pob_text |
26
+ | cd.race | 7 | race_code, race_text |
27
+ | cd.series | 392589 | 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 |
28
+ | cd.source | 1367 | source_code, source_text |
bls/cd/cd.txt ADDED
@@ -0,0 +1,498 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Occupational Injuries and Illnesses - Characteristics Data (CD)
2
+ cd.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: Occupational Injuries and Illnesses -
20
+ characteristics data (CD)
21
+
22
+ Survey Description: Besides injury and illness counts, survey respondents
23
+ also are asked to provide additional information for a subset of the most
24
+ serious nonfatal cases logged, namely, those that involved at least 1 day
25
+ away from work, beyond the day of injury or onset of illness. Employers
26
+ answer several questions about these cases, including the demographics of
27
+ the worker disabled, the nature of the disabling condition, and the event
28
+ and source producing that condition.
29
+
30
+ Summary Data Available: Detailed breakouts of injury and illness data by
31
+ a variety of characteristics, including age, category, event, gender,
32
+ industry, length of service, nature, occupation, part of body, race, and
33
+ source are available.
34
+
35
+ Frequency of Observations: Monthly, quarterly, and annual data are
36
+ available.
37
+
38
+ Data Characteristics: Data are reported to one decimal place.
39
+
40
+ Updating Schedule: OSHS Characteristics data are published annually.
41
+
42
+ ========================================================================
43
+ Section 2
44
+ ========================================================================
45
+
46
+ The following Occupational Injuries and Illnesses - characteristics data
47
+ files are on the BLS internet in the sub-directory pub/time.series/cd:
48
+
49
+
50
+ cd.age - Age codes (mapping file)
51
+ cd.case - Case codes (mapping file)
52
+ cd.category - Category codes (mapping file)
53
+ cd.category2 - Category codes (mapping file)
54
+ cd.contacts - Contacts for CD survey
55
+ cd.data.0.Current - All current year-to-date data
56
+ cd.data.1.AllData - All data
57
+ cd.event - Event codes (mapping file)
58
+ cd.gender - Gender codes (mapping file)
59
+ cd.industry - Industry codes (mapping file)
60
+ cd.los - LOS codes (mapping file)
61
+ cd.nature - Nature codes (mapping file)
62
+ cd.occupation - Occupation codes (mapping file)
63
+ cd.pob - POB codes (mapping file)
64
+ cd.race - Race codes (mapping file)
65
+ cd.series - All series with beginning and end dates
66
+ cd.source - Source codes (mapping file)
67
+ cd.txt - General information
68
+
69
+ ============================================================================
70
+ Section 3
71
+ ============================================================================
72
+
73
+ The definition of a time series, its relationship to and the
74
+ interrelationship among series, data and mapping files is detailed below:
75
+
76
+ A time series refers to a set of data observed over an extended period of
77
+ time over consistent time intervals (i.e. monthly, quarterly, semi-annually,
78
+ annually). BLS time series data are typically produced at monthly intervals
79
+ and represent data ranging from a specific consumer item in a specific
80
+ geographic area whose price is gathered monthly to a category of worker in
81
+ a specific industry whose employment rate is being recorded monthly, etc.
82
+
83
+ The FTP files are organized such that data users are provided with the
84
+ following set of files to use in their efforts to interpret data files:
85
+
86
+ a) a series file (only one series file per survey)
87
+ b) mapping files
88
+ c) data files
89
+
90
+ The series file contains a set of codes which, together, compose a series
91
+ identification code that serves to uniquely identify a single time series.
92
+ Additionally, the series file also contains the following series-level
93
+ information:
94
+
95
+ a) the period and year corresponding to the first data observation
96
+ b) the period and year corresponding to the most recent data observation.
97
+
98
+ The mapping files are definition files that contain explanatory text
99
+ descriptions that correspond to each of the various codes contained within
100
+ each series identification code.
101
+
102
+ The data file contains one line of data for each observation period
103
+ pertaining to a specific time series. Each line contains a reference to
104
+ the following:
105
+
106
+ a) series identification code
107
+ b) year in which data is observed
108
+ c) period for which data is observed (M13, Q05, and s03 indicate annual
109
+ averages)
110
+ d) value
111
+ e) footnote code (if available)
112
+
113
+ ============================================================================
114
+ Section 4
115
+ ============================================================================
116
+
117
+ File Structure and Format: The following represents the file format used
118
+ to define cd.series. Note the Field Numbers are for reference only; they
119
+ do not exist in the database. Data files are in ASCII text format. Data
120
+ elements are separated by spaces; the first record of each file contains
121
+ the column headers for the data elements stored in each field. Each record
122
+ ends with a new line character.
123
+
124
+ Field #/Data Element Length Value(Example)
125
+
126
+ 1. series_id 17 CDU00000033
127
+
128
+ 2. category_code 2 00
129
+
130
+ 3. datatype_code 1 3
131
+
132
+ 4. casetype_code 1 3
133
+
134
+ 5. age_code 4 19XX
135
+
136
+ 6. los_code 4 0000
137
+
138
+ 7. race_code 4 1XXX
139
+
140
+ 8. gender_code 4 MXXX
141
+
142
+ 9. pob_code 4 00XX
143
+
144
+ 10. event_code 4 010X
145
+
146
+ 11. source_code 4 0110
147
+
148
+ 12. occupation_code 4 0090
149
+
150
+ 13. nature_code 4 011X
151
+
152
+ 14. industry_code 4 0100
153
+
154
+ 15. footnote_codes 10 It varies
155
+
156
+ 16. begin_year 4 1992
157
+
158
+ 17. begin_period 3 A01
159
+
160
+ 18. end_year 4 1999
161
+
162
+ 19. end_period 3 A01
163
+
164
+ The series_id (CDUSH332233) can be broken out into:
165
+
166
+ Code = Value
167
+
168
+ survey abbreviation = CD
169
+ seasonal adjustment code = U
170
+ case category = SH
171
+ detail code = 3322
172
+ datatype code = 3
173
+ case type code = 3
174
+
175
+ ============================================================================
176
+ Section 5
177
+ ============================================================================
178
+
179
+ File Structure and Format: The following represents the file format used
180
+ to define each data file. Note that the field numbers are for reference
181
+ only; they do not exist in the database. Data files are in ASCII text
182
+ format. Data elements are separated by spaces; the first record of each
183
+ file contains the column headers for the data elements stored in each field.
184
+ Each record ends with a new line character.
185
+
186
+ The ml.data file is partitioned into two separate files:
187
+
188
+ 1. cd.data.0.Current = All current year-to-date data
189
+ 2. cd.data.1.AllData = All data
190
+
191
+ Both of the above data files have the following format:
192
+
193
+ Field #/Data Element Length Value(Example)
194
+
195
+ 1. series_id 17 CDUSH332233
196
+
197
+ 2. year 4 1998
198
+
199
+ 3. period 3 M01
200
+
201
+ 4. value 12 2360
202
+
203
+ 5. footnote_codes 10 It varies
204
+
205
+ The series_id (CDUSH332233) can be broken out into:
206
+
207
+ Code = Value
208
+
209
+ survey abbreviation = CD
210
+ seasonal adjustment code = U
211
+ case category = SH
212
+ detail code = 3322
213
+ datatype code = 3
214
+ case type code = 3
215
+
216
+ ============================================================================
217
+ Section 6
218
+ ============================================================================
219
+
220
+ File Structure and Format: The following represents the file format used
221
+ to define each mapping file. Note that the field numbers are for reference
222
+ only; they do not exist in the database. Mapping files are in ASCII text
223
+ format. Data elements are separated by tabs; the first record of each file
224
+ contains the column headers for the data elements stored in each field.
225
+ Each record ends with a new line character.
226
+
227
+ File Name: cd.age
228
+
229
+ Field #/Data Element Length Value(Example)
230
+
231
+ 1. age_code 4 14XX
232
+
233
+ 2. age_text 100 Text
234
+
235
+
236
+ File Name: cd.case
237
+
238
+ Field #/Data Element Length Value(Example)
239
+
240
+ 1. case_code 1 N
241
+
242
+ 2. case_text 100 Text
243
+
244
+
245
+ File Name: cd.category
246
+
247
+ Field #/Data Element Length Value(Example)
248
+
249
+ 1. case_code 1 3
250
+
251
+ 2. category_code 2 09
252
+
253
+ 3. category_text 100 Text
254
+
255
+
256
+ File Name: cd.category2
257
+
258
+ Field #/Data Element Length Value(Example)
259
+
260
+ 1. category_code 2 09
261
+
262
+ 2. category_text 100 Text
263
+
264
+
265
+ File Name: cd.datatype
266
+
267
+ Field #/Data Element Length Value(Example)
268
+
269
+ 1. datatype_code 1 3
270
+
271
+ 2. datatype_text 100 Text
272
+
273
+
274
+ File Name: cd.event
275
+
276
+ Field #/Data Element Length Value(Example)
277
+
278
+ 1. event_code 4 0XXX
279
+
280
+ 2. event_text 100 Text
281
+
282
+
283
+ File Name: cd.gender
284
+
285
+ Field #/Data Element Length Value(Example)
286
+
287
+ 1. gender_code 4 FXXX
288
+
289
+ 2. gender_text 100 Text
290
+
291
+
292
+ File Name: cd.industry
293
+
294
+ Field #/Data Element Length Value(Example)
295
+
296
+ 1. industry_code 4 0100
297
+
298
+ 2. industry_text 100 Text
299
+
300
+
301
+ File Name: cd.los
302
+
303
+ Field #/Data Element Length Value(Example)
304
+
305
+ 1. los_code 4 NRXX
306
+
307
+ 2. los_text 100 Text
308
+
309
+
310
+ File Name: cd.nature
311
+
312
+ Field #/Data Element Length Value(Example)
313
+
314
+ 1. nature_code 4 00XX
315
+
316
+ 2. nature_text 100 Text
317
+
318
+
319
+ File Name: cd.occupation
320
+
321
+ Field #/Data Element Length Value(Example)
322
+
323
+ 1. occupation_code 4 0030
324
+
325
+ 2. occupation_text 100 Text
326
+
327
+
328
+ File Name: cd.pob
329
+
330
+ Field #/Data Element Length Value(Example)
331
+
332
+ 1. pob_code 4 0XXX
333
+
334
+ 2. pob_text 100 Text
335
+
336
+
337
+ File Name: cd.race
338
+
339
+ Field #/Data Element Length Value(Example)
340
+
341
+ 1. race_code 4 2XXX
342
+
343
+ 2. race_text 100 Text
344
+
345
+
346
+ File Name: cd.source
347
+
348
+ Field #/Data Element Length Value(Example)
349
+
350
+ 1. source_code 4 010X
351
+
352
+ 2. source_text 100 Text
353
+
354
+ ============================================================================
355
+ Section 7
356
+ ============================================================================
357
+
358
+ OCCUPATIONAL INJURIES AND ILLNESSES--CHARACTERISTICS DATA (CD) DATABASE
359
+ ELEMENTS
360
+
361
+ Data Element Length Value(Example) Description
362
+
363
+ age_code 4 19XX Code identifying age of
364
+ subjects for which data
365
+ are observed.
366
+
367
+ age_text 100 Text Identifies age of subjects
368
+ Ex: 20-24 for which data are
369
+ observed.
370
+
371
+ begin_period 3 M06 Identifies first data
372
+ Ex: M06=June observation within the
373
+ first year for which data
374
+ are available for a given
375
+ time series.
376
+
377
+ begin_year 4 1992 Identifies first year for
378
+ which data are available
379
+ for a given time series.
380
+
381
+ case_code 1 N Code identifying case.
382
+
383
+ case_text 100 Text Describes case.
384
+
385
+ casetype_code 1 A Code identifying type of
386
+ Ex: A=Industry case for which data are
387
+ division or available for a given time
388
+ length of absence series.
389
+ by age group
390
+
391
+
392
+ category_code 2 09 Code identifying industry,
393
+ event, or characteristic
394
+ for which data are
395
+ available for a given time
396
+ series.
397
+
398
+ category_text 100 Text Names the industry, event,
399
+ Ex: 10=Mining, or characteristic for
400
+ NB=Fractures which data are available
401
+ for a given time series.
402
+
403
+ datatype_code 1 3 Code identifying the
404
+ datatype of the
405
+ observation.
406
+
407
+ end_period 3 A01 Identifies last data
408
+ observation within the
409
+ last year for which data
410
+ are available for a given
411
+ time series.
412
+
413
+ end_year 4 1998 Identifies last year for
414
+ which data are available
415
+ for a given time series.
416
+
417
+ event_code 4 010X Code identifying the event
418
+ which resulted in the
419
+ reported injury or
420
+ illness.
421
+ event_text 100 Text Names the event which
422
+ Ex: Fall from resulted in the reported
423
+ roof injury or illness.
424
+
425
+ footnote_code 10 It varies Identifies footnote for
426
+ the data series.
427
+
428
+ gender_code 4 MXXX Code identifying gender of
429
+ person experiencing the
430
+ injury or illness.
431
+
432
+ gender_text 100 Text Names gender of person
433
+ Ex: Male experiencing the injury or
434
+ illness.
435
+
436
+ industry_code 4 0100 Code identifying the
437
+ industry for which data
438
+ are observed.
439
+
440
+ industry_text 100 Text Names the industry for
441
+ Ex: Construction which data are observed.
442
+
443
+ los_code 4 NRXX Code identifying the
444
+ length of service of the
445
+ person experiencing the
446
+ injury or illness.
447
+
448
+ los_text 100 Text Names the length of
449
+ Ex: 1-5 years service of the person
450
+ experiencing the injury or
451
+ illness.
452
+
453
+ nature_code 4 011X Code identifying the
454
+ nature of the injury or
455
+ illness.
456
+
457
+ nature_text 100 Text Names the nature of the
458
+ Ex: Burns injury or illness.
459
+
460
+ occupation_code 4 0090 Code identifying the
461
+ occupation of the person
462
+ experiencing the injury or
463
+ illness.
464
+
465
+ occupation_text 100 Text Names the occupation of
466
+ Ex: Dentists the person experiencing
467
+ the injury or illness.
468
+
469
+ period 3 M01 Identifies period for which data
470
+ Ex: M01=Jan is observed.
471
+
472
+ pob_code 4 00XX Code identifying the part
473
+ of body affected.
474
+
475
+ pob_text 100 Text Names the part of body
476
+ Ex: Forearm(s) affected.
477
+
478
+ race_code 4 1XXX Code identifying the race
479
+ of the person experiencing
480
+ the injury or illness.
481
+
482
+ race_text 100 Text Names the race of the
483
+ Ex: Hispanic person experiencing the
484
+ injury or illness.
485
+
486
+ series_id 17 CDUSH332233 Unique series identifier
487
+
488
+ source_code 4 0110 Code identifying the
489
+ source of the injury or
490
+ illness.
491
+
492
+ source_text 100 Text Names the source of the
493
+ Ex: Insecticides injury or illness.
494
+
495
+ value 12 2360 Observation for the series.
496
+
497
+ year 4 1998 Identifies year of observation.
498
+
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1
+ # BLS survey `ce`
2
+
3
+ Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/ce/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics.
4
+
5
+ Survey documentation: `ce.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
+ | ce.contacts | 6 | National Current Employment Statistics (CES) Contacts |
12
+ | ce.data.0.AllCESSeries | 8381987 | series_id, year, period, value, footnote_codes |
13
+ | ce.data.00a.TotalNonfarm.Employment | 5162 | series_id, year, period, value, footnote_codes |
14
+ | ce.data.01a.CurrentSeasAE | 402357 | series_id, year, period, value, footnote_codes |
15
+ | ce.data.02b.AllRealEarningsAE | 561230 | series_id, year, period, value, footnote_codes |
16
+ | ce.data.03c.AllRealEarningsPE | 825076 | series_id, year, period, value, footnote_codes |
17
+ | ce.data.05a.TotalPrivate.Employment | 23992 | series_id, year, period, value, footnote_codes |
18
+ | ce.data.05b.TotalPrivate.AllEmployeeHoursAndEarnings | 13933 | series_id, year, period, value, footnote_codes |
19
+ | ce.data.05c.TotalPrivate.ProductionEmployeeHoursAndEarnings | 45562 | series_id, year, period, value, footnote_codes |
20
+ | ce.data.10a.MiningAndLogging.Employment | 51508 | series_id, year, period, value, footnote_codes |
21
+ | ce.data.10b.MiningAndLogging.AllEmployeeHoursAndEarnings | 55206 | series_id, year, period, value, footnote_codes |
22
+ | ce.data.10c.MiningAndLogging.ProductionEmployeeHoursAndEarnings | 98039 | series_id, year, period, value, footnote_codes |
23
+ | ce.data.20a.Construction.Employment | 115163 | series_id, year, period, value, footnote_codes |
24
+ | ce.data.20b.Construction.AllEmployeeHoursAndEarnings | 174780 | series_id, year, period, value, footnote_codes |
25
+ | ce.data.20c.Construction.ProductionEmployeeHoursAndEarnings | 284045 | series_id, year, period, value, footnote_codes |
26
+ | ce.data.30a.Manufacturing.Employment | 8146 | series_id, year, period, value, footnote_codes |
27
+ | ce.data.30b.Manufacturing.AllEmployeeHoursAndEarnings | 6320 | series_id, year, period, value, footnote_codes |
28
+ | ce.data.30c.Manufacturing.ProductionEmployeeHoursAndEarnings | 24425 | series_id, year, period, value, footnote_codes |
29
+ | ce.data.31a.ManufacturingDurableGoods.Employment | 242746 | series_id, year, period, value, footnote_codes |
30
+ | ce.data.31b.ManufacturingDurableGoods.AllEmployeeHoursAndEarnings | 389604 | series_id, year, period, value, footnote_codes |
31
+ | ce.data.31c.ManufacturingDurableGoods.ProductionEmployeeHoursAndEarnings | 527762 | series_id, year, period, value, footnote_codes |
32
+ | ce.data.32a.ManufacturingNondurableGoods.Employment | 120699 | series_id, year, period, value, footnote_codes |
33
+ | ce.data.32b.ManufacturingNondurableGoods.AllEmployeeHoursAndEarnings | 150402 | series_id, year, period, value, footnote_codes |
34
+ | ce.data.32c.ManufacturingNondurableGoods.ProductionEmployeeHoursAndEarnings | 180295 | series_id, year, period, value, footnote_codes |
35
+ | ce.data.40a.TradeTransportationAndUtilities.Employment | 5329 | series_id, year, period, value, footnote_codes |
36
+ | ce.data.40b.TradeTransportationAndUtilities.AllEmployeeHoursAndEarnings | 4617 | series_id, year, period, value, footnote_codes |
37
+ | ce.data.40c.TradeTransportationAndUtilities.ProductionEmployeeHoursAndEarnings | 14112 | series_id, year, period, value, footnote_codes |
38
+ | ce.data.41a.WholesaleTrade.Employment | 142019 | series_id, year, period, value, footnote_codes |
39
+ | ce.data.41b.WholesaleTrade.AllEmployeeHoursAndEarnings | 206973 | series_id, year, period, value, footnote_codes |
40
+ | ce.data.41c.WholesaleTrade.ProductionEmployeeHoursAndEarnings | 319140 | series_id, year, period, value, footnote_codes |
41
+ | ce.data.42a.RetailTrade.Employment | 166888 | series_id, year, period, value, footnote_codes |
42
+ | ce.data.42b.RetailTrade.AllEmployeeHoursAndEarnings | 257562 | series_id, year, period, value, footnote_codes |
43
+ | ce.data.42c.RetailTrade.ProductionEmployeeHoursAndEarnings | 370710 | series_id, year, period, value, footnote_codes |
44
+ | ce.data.43a.TransportationAndWarehousingAndUtilities.Employment | 103569 | series_id, year, period, value, footnote_codes |
45
+ | ce.data.43b.TransportationAndWarehousingAndUtilities.AllEmployeeHoursAndEarnings | 151803 | series_id, year, period, value, footnote_codes |
46
+ | ce.data.43c.TransportationAndWarehousingAndUtilities.ProductionEmployeeHoursAndEarnings | 201798 | series_id, year, period, value, footnote_codes |
47
+ | ce.data.50a.Information.Employment | 60235 | series_id, year, period, value, footnote_codes |
48
+ | ce.data.50b.Information.AllEmployeeHoursAndEarnings | 91998 | series_id, year, period, value, footnote_codes |
49
+ | ce.data.50c.Information.ProductionEmployeeHoursAndEarnings | 129528 | series_id, year, period, value, footnote_codes |
50
+ | ce.data.55a.FinancialActivities.Employment | 140691 | series_id, year, period, value, footnote_codes |
51
+ | ce.data.55b.FinancialActivities.AllEmployeeHoursAndEarnings | 234567 | series_id, year, period, value, footnote_codes |
52
+ | ce.data.55c.FinancialActivities.ProductionEmployeeHoursAndEarnings | 290214 | series_id, year, period, value, footnote_codes |
53
+ | ce.data.60a.ProfessionalBusinessServices.Employment | 222276 | series_id, year, period, value, footnote_codes |
54
+ | ce.data.60b.ProfessionalBusinessServices.AllEmployeeHoursAndEarnings | 321948 | series_id, year, period, value, footnote_codes |
55
+ | ce.data.60c.ProfessionalBusinessServices.ProductionEmployeeHoursAndEarnings | 518796 | series_id, year, period, value, footnote_codes |
56
+ | ce.data.65a.EducationAndHealthCare.Employment | 164238 | series_id, year, period, value, footnote_codes |
57
+ | ce.data.65b.EducationAndHealthCare.AllEmployeeHoursAndEarnings | 225369 | series_id, year, period, value, footnote_codes |
58
+ | ce.data.65c.EducationAndHealthCare.ProductionEmployeeHoursAndEarnings | 372960 | series_id, year, period, value, footnote_codes |
59
+ | ce.data.70a.LeisureAndHospitality.Employment | 104782 | series_id, year, period, value, footnote_codes |
60
+ | ce.data.70b.LeisureAndHospitality.AllEmployeeHoursAndEarnings | 170181 | series_id, year, period, value, footnote_codes |
61
+ | ce.data.70c.LeisureAndHospitality.ProductionEmployeeHoursAndEarnings | 240606 | series_id, year, period, value, footnote_codes |
62
+ | ce.data.80a.OtherServices.Employment | 119621 | series_id, year, period, value, footnote_codes |
63
+ | ce.data.80b.OtherServices.AllEmployeeHoursAndEarnings | 179379 | series_id, year, period, value, footnote_codes |
64
+ | ce.data.80c.OtherServices.ProductionEmployeeHoursAndEarnings | 269082 | series_id, year, period, value, footnote_codes |
65
+ | ce.data.90a.Government.Employment | 61211 | series_id, year, period, value, footnote_codes |
66
+ | ce.data.Goog | 35496 | series_id, year, period, value, footnote_codes |
67
+ | ce.datatype | 41 | data_type_code, data_type_text |
68
+ | ce.footnote | 7 | footnote_code, footnote_text |
69
+ | ce.industry | 850 | industry_code, naics_code, publishing_status, industry_name, display_level, selectable, sort_sequence |
70
+ | ce.period | 13 | period, mm, month |
71
+ | ce.seasonal | 2 | seasonal_code, seasonal_text |
72
+ | ce.series | 22049 | series_id, supersector_code, industry_code, data_type_code, seasonal, series_title, footnote_codes, begin_year, begin_period, end_year, end_period |
73
+ | ce.supersector | 22 | supersector_code, supersector_name |
bls/ce/ce.txt ADDED
@@ -0,0 +1,680 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Current Employment Statistics: Employment, Hours, and Earnings--National (CE)
2
+ ce.txt
3
+
4
+ Section Listing
5
+
6
+ 1. Survey Definition
7
+ 2. Text files listed in the survey directory
8
+ 3. Time series, series file, data file, & mapping file definitions and relationships
9
+ 4. Series file format and field definitions
10
+ 5. Data file format and field definitions
11
+ 6. Mapping file formats and field definitions
12
+ 7. Data Element Dictionary
13
+
14
+ ======================================================================================
15
+ Section 1
16
+ ======================================================================================
17
+
18
+ Definition of CURRENT EMPLOYMENT STATISTICS: EMPLOYMENT, HOURS, AND EARNINGS NATIONAL
19
+ (CE)
20
+
21
+ Survey Description:
22
+ The Current Employment Statistics (CES) program provides estimates of employment,
23
+ hours, and earnings information on a national basis and in considerable industry
24
+ detail. The Bureau of Labor Statistics collects payroll data each month from a sample
25
+ of business and government establishments in all nonfarm activities.
26
+
27
+ Employment data include series for total employment, number of women employees, and
28
+ number of production or nonsupervisory employees. Estimates of average hourly
29
+ earnings, average weekly hours, average weekly earnings, and average weekly overtime
30
+ hours are produced for both all employees and for production or nonsupervisory
31
+ employees. Overtime hours are produced for manufacturing industries only.
32
+
33
+ A sample of approximately 119,000 businesses and government agencies representing
34
+ approximately 622,000 worksites throughout the United States is utilized for this
35
+ monthly survey. The sample contains about 324,000 employer units.
36
+
37
+ All employment, hours and earnings series are classified according to the 2022 North
38
+ American Industry Classification System (NAICS). The industry code used in the survey
39
+ corresponds to the NAICS code, except in those cases where multiple industries have
40
+ been combined.
41
+
42
+ Summary of Data Available:
43
+ For all employees, women employees, and production or nonsupervisory employees, CES
44
+ publishes about 3,800 monthly series. The series for all employees cover about
45
+ 900 industries on both a seasonally adjusted and not seasonally adjusted basis.
46
+
47
+ Approximately 2,100 series for AHE, AWH, and, in manufacturing, AWOH for both all
48
+ employee and production and nonsupervisory employees are published monthly on a not
49
+ seasonally adjusted basis and cover approximately 500 industries.
50
+
51
+ Over 3,900 seasonally adjusted employment, hours, and earnings series for AE, PE, and
52
+ WE are published. About 7,100 derivative series such as average weekly earnings (AWE),
53
+ indexes, and constant-dollar series for AE and PE are also published for about
54
+ 500 industries.
55
+
56
+ Most employment series begin in 1990, although some series, including industry
57
+ supersectors, are available from 1939. Supersectors include: mining and logging;
58
+ construction; manufacturing; trade, transportation, and utilities; information;
59
+ financial activities; professional and business services; private education and health
60
+ services; leisure and hospitality; other services; and government.
61
+
62
+ Due to the 2025 lapse in appropriations, real earnings data for October 2025 and
63
+ total nonfarm collection rate values for October 2025 first preliminary estimates
64
+ and September 2025 second preliminary estimates are not available.
65
+
66
+
67
+ Frequency of Observations:
68
+ Data series are monthly in most cases; quarterly averages are available for total
69
+ employment, average weekly hours, and average overtime hours, seasonally adjusted
70
+ (datatypes 19, 20, 25, 36, and 37).
71
+
72
+ Annual averages are available for all series that are not adjusted for seasonality
73
+ (except for the 12-month diffusion index series).
74
+
75
+ Data Characteristics:
76
+ Earnings are measured in dollars and are published to the nearest cent (two decimal
77
+ places). Average weekly and overtime hours are measured in hours and are published to
78
+ the nearest tenth of an hour (one decimal place).
79
+
80
+ Employment is measured in thousands of workers and is stored with no decimal place for
81
+ all supersectors and for both durable goods and nondurable goods in manufacturing.
82
+ Employment for all other industries are stored to one decimal place.
83
+
84
+ Special characteristics of the data are footnoted where necessary. For example; I
85
+ indicates that the seasonally adjusted series is independently seasonally adjusted and
86
+ not used in aggregating to higher summary industries. For all employees, higher
87
+ summary series, such as total nonfarm, are aggregated up from the 3-digit NAICS level.
88
+
89
+ Release Schedule: https://www.bls.gov/ces/publications/news-release-schedule.htm
90
+ Releases are usually available on the third Friday following the week containing the
91
+ 12th of the reference month (the reference period is the pay period that includes the
92
+ 12th of the month). Each release contains first preliminary estimates for the
93
+ reference month, second preliminary estimates for the month preceding the reference
94
+ month, and third final estimates for the month two months prior to the reference
95
+ month.
96
+
97
+ Each year with the release of January estimates in February, CES data are re-anchored
98
+ to universe counts of nonfarm employment or benchmarks for the most recent March. For
99
+ example, CES introduced March 2024 benchmark counts with the release of January 2025
100
+ first preliminary estimates in February 2025. On a not seasonally adjusted basis, all
101
+ series are subject to revision back to the prior year s benchmarked data (21 months of
102
+ data), while 5 years of seasonally adjusted estimates are subject to revision
103
+ (or more if required due to a series reconstruction).
104
+
105
+ References: BLS Handbook of Methods, Current Employment Statistics, National,
106
+ https://www.bls.gov/opub/hom/ces/concepts.htm
107
+
108
+ ======================================================================================
109
+ Section 2
110
+ ======================================================================================
111
+
112
+ Text files listed in the survey directory
113
+
114
+ Text files allow data users to retrieve large amounts of data with one selection.
115
+ These datasets are highly suited for statistical software that manipulate large
116
+ datasets. The files are arranged first on a broad industry base, followed by industry
117
+ specific groups. In addition to data files, a series of mapping files are also
118
+ available and provide a means for identifying all variables in the data files. This
119
+ section identifies and describes the multi-series text files available for download
120
+ from the LABSTAT database at https://download.bls.gov/pub/time.series/ce/.
121
+
122
+ These four files contain data for most or all supersectors combined.
123
+
124
+ *ce.data.0.ALLCESSeries - contains the entire history of all series
125
+ currently published by the CES program. With the release of November 2024
126
+ data on December 6, 2024, new series reflecting the monthly collection rates
127
+ for the first preliminary, second preliminary, and third release of data for
128
+ total nonfarm, as well as monthly response rates (at third release of data)
129
+ for total private, have been included in this file. These series are identified
130
+ as CEU00000000C1, CEU00000000C2, CEU00000000C3, and CEU05000000RR.
131
+ These 4 additional series represent the only series changes to this file from
132
+ the previous published version.
133
+
134
+ *ce.data.01a.CurrentSeasAE - contains every seasonally adjusted all employee series
135
+ and its complete history.
136
+
137
+ *ce.data.02b.AllRealEarningsAE - contains the complete history of real
138
+ earnings of all employees for every industry for which CES
139
+ also publishes current dollar earnings series. The series in this
140
+ file include (data type number in parenthesis):
141
+ * Average Weekly Earnings of All Employees $82-84 (12)
142
+ * Average Hourly Earnings of All Employees $82-84 (13)
143
+
144
+ *ce.data.03c.AllRealEarningsPE - contains the complete history of real
145
+ earnings of production or nonsupervisory employees for every
146
+ industry for which CES also publishes current dollar earnings
147
+ series. The series in this file include:
148
+ * Average Weekly Earnings of Production Employees, $82-84 (31)
149
+ * Average Hourly Earnings of Production Employees, $82-84 (32)
150
+
151
+ The ce.data.Goog file contains the following datatypes, if applicable, for all supersectors
152
+ listed in the ce.supersector mapping file:
153
+ * All employees
154
+ * Average weekly hours of all employees
155
+ * Average hourly earnings of all employees
156
+ * Average weekly earnings of all employees
157
+
158
+
159
+ The remaining CES text files are categorized first by Supersector, then by groups of
160
+ datatypes.
161
+
162
+ The list of CES supersectors in LABSTAT are shown in
163
+ https://download.bls.gov/pub/time.series/ce/ce.supersector.
164
+
165
+ The list of CES datatypes in LABSTAT are shown in
166
+ https://download.bls.gov/pub/time.series/ce/ce.datatype.
167
+
168
+ Each filename contains four parts separated by a period (.).
169
+ For example: ce.data.05b.TotalPrivate.AllEmployeeHoursAndEarnings
170
+
171
+ The 4 parts to the filename are:
172
+
173
+ 1) ce - the data in the file pertain to the national estimates from the CES
174
+ survey.
175
+ 2) data - the file contains data as opposed to mapping files (mentioned later).
176
+ 3) 2 numerical digits plus 1 alpha character - the digits identify a
177
+ Supersector or other major industry grouping, and the alpha character
178
+ represents a data type package label, where,
179
+
180
+ a - Employment - includes all employment datatypes
181
+ (Datatype codes shown in parentheses):
182
+
183
+ * All employees (01)
184
+ * Production or nonsupervisory employees (06)
185
+ * Women employees (10)
186
+ * 1-month diffusion index (21)
187
+ * 3-month diffusion index (22)
188
+ * 6-month diffusion index (23)
189
+ * 12-month diffusion index (24)
190
+ * All employee quarterly average (25)
191
+ * 3-month moving average change (26)
192
+
193
+ b - Hours and earnings of all employees - includes all hours and earnings
194
+ datatypes for all employee payroll: (Data type numbers shown in
195
+ parentheses)
196
+
197
+ * Average weekly hours for all employees (02)
198
+ * Average hourly earnings for all employees (03)
199
+ * Average overtime hours of all employees (04)
200
+ * Average weekly earnings of all employees (11)
201
+ * Average weekly earnings of all employees $82-84 (12)
202
+ * Average hourly earnings of all employees $82-84 (13)
203
+ * Average hourly earnings of all employees excluding overtime (15)
204
+ * Index of aggregate weekly hours of all employees, 2007=100 (16)
205
+ * Index of aggregate weekly payrolls of all employees, 2007=100 (17)
206
+ * Quarterly average weekly hours of all employees (19)
207
+ * Quarterly average weekly overtime hours of all employees (20)
208
+ * Aggregate weekly hours of all employees (56)
209
+ * Aggregate weekly payrolls of all employees (57)
210
+ * Aggregate weekly overtime hours of all employees (58)
211
+
212
+ c - Production employee hours and earnings - includes all hours and
213
+ earnings data types for production or nonsupervisory
214
+ employees: (Data type numbers shown in parentheses)
215
+
216
+ * Average weekly hours for production employees (07)
217
+ * Average hourly earnings for production employees (08)
218
+ * Average weekly overtime hours of production employees (09)
219
+ * Average weekly earnings of production employees (30)
220
+ * Average weekly earnings of production employees, $82-84 (31)
221
+ * Average hourly earnings of production employees, $82-84 (32)
222
+ * Average hourly earnings of production employees excluding
223
+ overtime (33)
224
+ * Index of aggregate hours of production employees, 2002=100 (34)
225
+ * Index of aggregate payrolls of production employees, 2002=100 (35)
226
+ * Quarterly average weekly hours of production employees (36)
227
+ * Quarterly average weekly overtime hours of production
228
+ employees (37)
229
+ * Aggregate weekly hours of production employees (81)
230
+ * Aggregate weekly payrolls of production employees (82)
231
+ * Aggregate weekly overtime hours of production employees (83)
232
+
233
+ 4) File Description - a two phase descriptive listing of data file contents.
234
+ The first half is the supersector or industry name (list of
235
+ supersectors and industries are in
236
+ http://download.bls.gov/pub/time.series/ce/ce.supersector ).
237
+ The second half is the data type grouping (employment, all employee
238
+ hours and earnings, and production employee hours and earnings)
239
+ described above.
240
+
241
+ The complete list of data files available for retrieval on the text file page
242
+ follows.
243
+
244
+ * ce.data.0.ALLCESSeries
245
+
246
+ * ce.data.01a.CurrentSeasAE
247
+
248
+ * ce.data.02b.AllRealEarningsAE
249
+
250
+ * ce.data.03c.AllRealEarningsPE
251
+
252
+ * ce.data.00a.TotalNonfarm.Employment
253
+
254
+ * ce.data.05a.TotalPrivate.Employment
255
+
256
+ * ce.data.05b.TotalPrivate.AllEmployeeHoursAndEarnings
257
+
258
+ * ce.data.05c.TotalPrivate.ProductionEmployeeHoursAndEarnings
259
+
260
+ * ce.data.10a.MiningAndLogging.Employment
261
+
262
+ * ce.data.10b.MiningAndLogging.AllEmployeeHoursAndEarnings
263
+
264
+ * ce.data.10c.MiningAndLogging.ProductionEmployeeHoursAndEarnings
265
+
266
+ * ce.data.20a.Construction.Employment
267
+
268
+ * ce.data.20b.Construction.AllEmployeeHoursAndEarnings
269
+
270
+ * ce.data.20c.Construction.ProductionEmployeeHoursAndEarnings
271
+
272
+ * ce.data.30a.Manufacturing.Employment
273
+
274
+ * ce.data.30b.Manufacturing.AllEmployeeHoursAndEarnings
275
+
276
+ * ce.data.30c.Manufacturing.ProductionEmployeeHoursAndEarnings
277
+
278
+ * ce.data.31a.ManufacturingDurables.Employment
279
+
280
+ * ce.data.31b.ManufacturingDurables.AllEmployeeHoursAndEarnings
281
+
282
+ * ce.data.31c.ManufacturingDurables.ProductionEmployeeHoursAndEarnings
283
+
284
+ * ce.data.32a.ManufacturingNondurables.Employment
285
+
286
+ * ce.data.32b.ManufacturingNondurables.AllEmployeeHoursAndEarnings
287
+
288
+ * ce.data.32c.ManufacturingNondurables.ProductionEmployeeHoursAndEarnings
289
+
290
+ * ce.data.40a.TradeTransportationAndUtilities.Employment
291
+
292
+ * ce.data.40b.TradeTransportationAndUtilities.AllEmployeeHoursAndEarnings
293
+
294
+ * ce.data.40c.TradeTransportationAndUtilities.ProductionEmployeeHoursAndEarnings
295
+
296
+ * ce.data.41a.WholesaleTrade.Employment
297
+
298
+ * ce.data.41b.WholesaleTrade.AllEmployeeHoursAndEarnings
299
+
300
+ * ce.data.41c.WholesaleTrade.ProductionEmployeeHoursAndEarnings
301
+
302
+ * ce.data.42a.RetailTrade.Employment
303
+
304
+ * ce.data.42b.RetailTrade.AllEmployeeHoursAndEarnings
305
+
306
+ * ce.data.42c.RetailTrade.ProductionEmployeeHoursAndEarnings
307
+
308
+ * ce.data.43a.TransportationAndWarehousingAndUtilities.Employment
309
+
310
+ * ce.data.43b.TransportationAndWarehousingAndUtilities.AllEmployeeHoursAndEarnings
311
+
312
+ * ce.data.43c.TransportationAndWarehousingAndUtilities.
313
+ ProductionEmployeeHoursAndEarnings (Very long name - all continuous)
314
+
315
+ * ce.data.50a.Information.Employment
316
+
317
+ * ce.data.50b.Information.AllEmployeeHoursAndEarnings
318
+
319
+ * ce.data.50c.Information.ProductionEmployeeHoursAndEarnings
320
+
321
+ * ce.data.55a.FinancialActivities.Employment
322
+
323
+ * ce.data.55b.FinancialActivities.AllEmployeeHoursAndEarnings
324
+
325
+ * ce.data.55c.FinancialActivities.ProductionEmployeeHoursAndEarnings
326
+
327
+ * ce.data.60a.ProfessionalBusinessServices.Employment
328
+
329
+ * ce.data.60b.ProfessionalBusinessServices.AllEmployeeHoursAndEarnings
330
+
331
+ * ce.data.60c.ProfessionalBusinessServices.ProductionEmployeeHoursAndEarnings
332
+
333
+ * ce.data.65a.PrivateEducationandHealthCare.Employment
334
+
335
+ * ce.data.65b.PrivateEducationandHealthCare.AllEmployeeHoursAndEarnings
336
+
337
+ * ce.data.65c.PrivateEducationandHealthCare.ProductionEmployeeHoursAndEarnings
338
+
339
+ * ce.data.70a.LeisureAndHospitality.Employment
340
+
341
+ * ce.data.70b.LeisureAndHospitality.AllEmployeeHoursAndEarnings
342
+
343
+ * ce.data.70c.LeisureAndHospitality.ProductionEmployeeHoursAndEarnings
344
+
345
+ * ce.data.80a.OtherServices.Employment
346
+
347
+ * ce.data.80b.OtherServices.AllEmployeeHoursAndEarnings
348
+
349
+ * ce.data.80c.OtherServices.ProductionEmployeeHoursAndEarnings
350
+
351
+ * ce.data.90a.Government.Employment
352
+
353
+ * ce.data.Goog
354
+
355
+
356
+ Additionally, the following files are available and will be described in later
357
+ sections of this document.
358
+
359
+ ce.contacts - Contact information for the national CES program
360
+ ce.datatype - Data_type_code mapping file
361
+ ce.footnote - Footnote codes mapping file
362
+ ce.industry - Industry codes mapping file
363
+ ce.period - Period codes mapping file
364
+ ce.seasonal - Seasonal Adjustment codes mapping file
365
+ ce.series - All available series numbers with series titles
366
+ ce.supersector - Super sector codes mapping file
367
+ ce.txt - General information (this document)
368
+
369
+ ======================================================================================
370
+ Section 3
371
+ ======================================================================================
372
+ Time series, series file, data file, & mapping file definitions and relationships
373
+
374
+ A time series refers to a set of data observed over an extended period of time
375
+ for a consistent time interval (i.e. monthly, quarterly, semi-annually, annually).
376
+ BLS time series data are typically produced at monthly intervals and represent data
377
+ ranging from a specific consumer item in a specific geographical area whose price
378
+ is gathered monthly to a category of worker in a specific industry whose employment
379
+ rate is being recorded monthly, etc.
380
+
381
+ The text files are organized to provide data users with the necessary information to
382
+ interpret data files:
383
+
384
+ a) a series file (only one series file per survey)
385
+ b) mapping files
386
+ c) data files
387
+
388
+ The series file contains a set of codes which, together, compose a series
389
+ identification code that serves to uniquely identify a single time series.
390
+ Additionally, the series file also contains the following series-level information:
391
+
392
+ a) the period and year corresponding to the first data observation
393
+ b) the period and year corresponding to the most recent data observation.
394
+
395
+ The mapping files, or definition files, contain explanatory text descriptions
396
+ that correspond to various codes contained within each series identification code.
397
+
398
+ The data file contains one line of data for each observation period pertaining to a
399
+ specific time series. Each line contains a reference to the following:
400
+
401
+ a) a series identification code
402
+ b) year in which data is observed
403
+ c) period for which data is observed (M13 indicates annual averages)
404
+ d) value
405
+ e) footnote code (if necessary)
406
+
407
+ ======================================================================================
408
+ Section 4
409
+ ======================================================================================
410
+ Series file format and field definitions
411
+
412
+ The first line of the ce.series files shows several fields or data elements separated
413
+ by tabs. Each of the remaining lines in ce.series represents one unique CES series.
414
+ Note that the field numbers are for reference only and do not exist in the LABSTAT
415
+ database. Data files are in ASCII text format. Each data element is
416
+ listed below and shows the length of the data element field followed by a value
417
+ (example). Each series record ends with a new line character.
418
+
419
+ Field # Data Element Length Value(Example)
420
+
421
+ 1 Series_id 17 CEU0500000001
422
+
423
+ 2 Supersector_code 2 05
424
+
425
+ 3 NAICS tabcode 8 10113300 (industry code)
426
+
427
+ 4 Datatype Code 2 01
428
+
429
+ 5 Series title 104 3 parts to series title;
430
+ Datatype,
431
+ Industry name, and
432
+ seasonality (adjusted or unadjusted)
433
+
434
+ 6 Footnote_codes 10 I (Independent Seasonally Adjusted)
435
+
436
+ 7 Begin_year 4 1939
437
+
438
+ 8 Begin_period 3 M01 (January)
439
+
440
+ 9 End_year 4 2016
441
+
442
+ 10 End_period 3 M12 (December)
443
+
444
+
445
+ The series_id (CEU0500000001) can be broken out further into four variables:
446
+
447
+ Variable Value
448
+ survey abbreviation CE
449
+ seasonal (code) U or S
450
+ CES industry_code 05000000, where 05 is the supersector, and 000000
451
+ represents the NAICS industry code
452
+ data_type_code 01
453
+
454
+ ======================================================================================
455
+ Section 5
456
+ ======================================================================================
457
+ Data file format and field definitions
458
+
459
+ The first line of each data file shows several fields or data elements separated
460
+ by tabs. Each of the remaining lines in the data file represents one unique CES series
461
+ and data point and is divided into fields or data elements. Note that the field
462
+ numbers are for reference only and do not exist in the LABSTAT database. Data files
463
+ are in ASCII text format. Each data element is listed below and shows the name of the
464
+ element, the length of the data element field, and a value example. Each data record
465
+ ends with a new line character.
466
+
467
+ The ce.data file is partitioned into a number of separate files: See Section 2
468
+
469
+ The above-referenced data files have the following format:
470
+
471
+ Field #/Data Element Length Value(Example)
472
+
473
+ 1. series_id 17 CEU0500000001
474
+
475
+ 2. year 4 2003
476
+
477
+ 3. period 3 M01
478
+
479
+ 4. value 12 103623
480
+
481
+ 5. footnote_codes 10 p (Preliminary)
482
+
483
+
484
+ ======================================================================================
485
+ Section 6
486
+ ======================================================================================
487
+ Mapping file formats and field definitions
488
+
489
+ The following represents file formats and field definitions for each mapping file.
490
+ Note that the field numbers are for reference only; they do not exist in the
491
+ LABSTAT database. Mapping files are in ASCII text format. Data elements are
492
+ separated by tabs; the first record of each file contains the data elements stored
493
+ in the file. Each record ends with a new line character.
494
+
495
+ File Name: ce.datatype https://download.bls.gov/pub/time.series/ce/ce.datatype
496
+
497
+ Field #/Data Element Length Value (Example)
498
+
499
+ 1. data_type_code 2 30
500
+
501
+ 2. data_type_text 100 Average Weekly Hours of All Employees
502
+
503
+
504
+ File Name: ce.footnote https://download.bls.gov/pub/time.series/ce/ce.footnote
505
+
506
+ Field #/Data Element Length Value (Example)
507
+
508
+ 1. footnote_code 1 I
509
+
510
+ 2. footnote_text 100 Text (Preliminary)
511
+
512
+
513
+ File Name: ce.industry https://download.bls.gov/pub/time.series/ce/ce.industry
514
+
515
+ Field #/Data Element Length Value(Example)
516
+
517
+ 1. industry_code 8 05000000
518
+
519
+ 2. naics_code 13 236
520
+
521
+ 3. publishing_status 2 (AO) Alpha characters displaying published
522
+ (A) datatypes for industry
523
+
524
+ 4. industry_name 80 (Construction of buildings)
525
+
526
+ 5. display_level 1 Character displaying where industry
527
+ lies in hierarchy of industries
528
+
529
+
530
+ File Name: ce.period https://download.bls.gov/pub/time.series/ce/ce.period
531
+
532
+ Field #/Data Element Length Value (Example)
533
+
534
+ 1. period 3 M02
535
+
536
+ 2. period_abbr 5 FEB
537
+
538
+ 3. period_name 20 February
539
+
540
+
541
+ File Name: ce.series https://download.bls.gov/pub/time.series/ce/ce.series
542
+
543
+ Field #/Data Element Length Value (Example)
544
+
545
+ 1. series_id 13 CES0500000001
546
+
547
+ 2. supersector_code 2 05
548
+
549
+ 3. industry_code 8 05000000
550
+
551
+ 4. data_type_code 2 01
552
+
553
+ 5. seasonal 1 S or U
554
+
555
+ 6. series_title 104 3 parts to series title; datatype,
556
+ industry name, and seasonality
557
+
558
+ 7. begin_year 4 YYYY (2006)
559
+
560
+ 8. begin_period 3 M01-M13
561
+
562
+ 9. end_year 4 YYYY (2017)
563
+
564
+ 10. end_period 3 M01-M13
565
+
566
+
567
+ File Name: ce.supersector https://download.bls.gov/pub/time.series/ce/ce.supersector
568
+
569
+ Field #/Data Element Length Value (Example)
570
+
571
+ 1. supersector_code 2 05
572
+
573
+ 2. supersector_name 60 Manufacturing
574
+
575
+
576
+ ======================================================================================
577
+ Section 7
578
+ ======================================================================================
579
+ Data Element Dictionary
580
+
581
+ EMPLOYMENT, HOURS, AND EARNINGS--NATIONAL (CE) DATABASE ELEMENTS
582
+
583
+ Data Element Length Value (Example) Description
584
+
585
+ begin_period 3 M01-M13 Identifies first data observation
586
+ Ex: M06=June within the first year for which
587
+ M13=Annual Avg) data is available for a given
588
+ time series.
589
+
590
+ begin_year 4 YYYY Identifies first year for which
591
+ Ex: 2006 data is available for a given time
592
+ Series
593
+
594
+ data_type_code 2 30 Code identifying the datatype
595
+ of the observation.
596
+
597
+ data_type_text 100 Text Datatype name of the observation.
598
+ (All employees, thousands)
599
+
600
+ end_period 3 M01-M13 Identifies last data observation
601
+ Ex: M06=June within the last year for which
602
+ M=Monthly, data is available for a given time
603
+ M13=Annual Avg) series.
604
+
605
+ end_year 4 YYYY Identifies last year for which
606
+ Ex: 2017 data is available for a given
607
+ time series.
608
+
609
+ footnote_code 1 p Identifies footnote for the data
610
+ series.
611
+
612
+ footnote_codes 10 p, I Identifies multiple footnotes
613
+ for the data series.
614
+
615
+ footnote_text 100 preliminary Contains the text of the footnote.
616
+
617
+ industry_code 8 05000000 Code identifying industry.
618
+
619
+ industry_name 80 Text Name of industry.
620
+ (Grocery Stores)
621
+
622
+ naics_code 6 Numeric text North American Industry Classification
623
+ (445110) System (NAICS) code.
624
+
625
+ period_abbr 5 Period name Abbreviation of period name.
626
+ (JUN) abbreviation
627
+
628
+ Period 3 M01-M13 Identifies period for which
629
+ M06=June data is observed.
630
+ M13=Annual Average
631
+ M=Monthly
632
+
633
+ period_name 20 Text (June) Full name of period to which
634
+ the data observation refers.
635
+
636
+ publishing_status 2 Alpha characters one or two character(s) displaying the
637
+ specific datatypes published for the
638
+ industry.
639
+ (A) Employment, average weekly hours, and average hourly
640
+ and weekly earnings of all employees; employment of
641
+ women; employment, average weekly hours, and average
642
+ hourly and weekly earnings of production or
643
+ nonsupervisory employees.
644
+ (B) All employees and employment of women.
645
+ (C) All employees.
646
+ (D) Employment, average weekly hours, and average hourly
647
+ and weekly earnings of all employees; employment,
648
+ average weekly hours, and average hourly and weekly
649
+ earnings of production or nonsupervisory employees.
650
+ (E) Employment, average weekly hours and average hourly
651
+ and weekly earnings of all employees; employment of
652
+ women.
653
+ (F) Employment and average weekly hours of all employees;
654
+ and employment and average weekly hours of production
655
+ or nonsupervisory employees.
656
+ (G) Employment, average weekly hours, and average hourly
657
+ and weekly earnings of all employees.
658
+ (H) All employees; employment of women; and employment,
659
+ average weekly hours, and average hourly and weekly
660
+ earnings of production or nonsupervisory employees.
661
+ (O) Average weekly overtime of production employees and
662
+ of all employees.
663
+ (P) Average weekly overtime of production employees.
664
+ (T) Average weekly overtime of all employees.
665
+
666
+ Seasonal 1 S=Seasonally Code identifying whether the
667
+ Adjusted data are seasonally adjusted.
668
+ U=Unadjusted
669
+
670
+ series_id 17 CEU0500000001 Code identifying the specific series.
671
+
672
+ supersector_code 2 05 Code identifying the supersector.
673
+
674
+ supersector_name 60 Text Describes the supersector.
675
+
676
+ value 12 103623 Data value for series.
677
+
678
+ year 4 YYYY Identifies year of observation.
679
+ (1990)
680
+
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