Add BLS batch w1
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- bls/cc/README.md +18 -0
- bls/cc/cc.contacts +56 -0
- bls/cc/cc.txt +305 -0
- bls/cc/cc_benefit.parquet +3 -0
- bls/cc/cc_costfactor.parquet +3 -0
- bls/cc/cc_data_1_AllData.parquet +3 -0
- bls/cc/cc_footnote.parquet +3 -0
- bls/cc/cc_industryocc.parquet +3 -0
- bls/cc/cc_sector.parquet +3 -0
- bls/cc/cc_series.parquet +3 -0
- bls/cd/README.md +28 -0
- bls/cd/cd.txt +498 -0
- bls/cd/cd_age.parquet +3 -0
- bls/cd/cd_case.parquet +3 -0
- bls/cd/cd_category.parquet +3 -0
- bls/cd/cd_category2.parquet +3 -0
- bls/cd/cd_contacts.parquet +3 -0
- bls/cd/cd_data_1_AllData.parquet +3 -0
- bls/cd/cd_datatype.parquet +3 -0
- bls/cd/cd_event.parquet +3 -0
- bls/cd/cd_footnote.parquet +3 -0
- bls/cd/cd_gender.parquet +3 -0
- bls/cd/cd_industry.parquet +3 -0
- bls/cd/cd_los.parquet +3 -0
- bls/cd/cd_nature.parquet +3 -0
- bls/cd/cd_occupation.parquet +3 -0
- bls/cd/cd_pob.parquet +3 -0
- bls/cd/cd_race.parquet +3 -0
- bls/cd/cd_series.parquet +3 -0
- bls/cd/cd_source.parquet +3 -0
- bls/ce/README.md +73 -0
- bls/ce/ce.txt +680 -0
- bls/ce/ce_contacts.parquet +3 -0
- bls/ce/ce_data_00a_TotalNonfarm_Employment.parquet +3 -0
- bls/ce/ce_data_01a_CurrentSeasAE.parquet +3 -0
- bls/ce/ce_data_02b_AllRealEarningsAE.parquet +3 -0
- bls/ce/ce_data_03c_AllRealEarningsPE.parquet +3 -0
- bls/ce/ce_data_05a_TotalPrivate_Employment.parquet +3 -0
- bls/ce/ce_data_05b_TotalPrivate_AllEmployeeHoursAndEarnings.parquet +3 -0
- bls/ce/ce_data_05c_TotalPrivate_ProductionEmployeeHoursAndEarnings.parquet +3 -0
- bls/ce/ce_data_0_AllCESSeries.parquet +3 -0
- bls/ce/ce_data_10a_MiningAndLogging_Employment.parquet +3 -0
- bls/ce/ce_data_10b_MiningAndLogging_AllEmployeeHoursAndEarnings.parquet +3 -0
- bls/ce/ce_data_10c_MiningAndLogging_ProductionEmployeeHoursAndEarnings.parquet +3 -0
- bls/ce/ce_data_20a_Construction_Employment.parquet +3 -0
- bls/ce/ce_data_20b_Construction_AllEmployeeHoursAndEarnings.parquet +3 -0
- bls/ce/ce_data_20c_Construction_ProductionEmployeeHoursAndEarnings.parquet +3 -0
- bls/ce/ce_data_30a_Manufacturing_Employment.parquet +3 -0
- bls/ce/ce_data_30b_Manufacturing_AllEmployeeHoursAndEarnings.parquet +3 -0
- bls/ce/ce_data_30c_Manufacturing_ProductionEmployeeHoursAndEarnings.parquet +3 -0
bls/cc/README.md
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# BLS survey `cc`
|
| 2 |
+
|
| 3 |
+
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 |
|
| 14 |
+
| 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
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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
|
| 17 |
+
|
| 18 |
+
TDD phone: (202) 691-5987
|
| 19 |
+
TDD Message Referral Phone Number: 1-800-326-2577
|
| 20 |
+
|
| 21 |
+
Mailing address:
|
| 22 |
+
Bureau of Labor Statistics
|
| 23 |
+
OCLT/SPCB - Suite 4175
|
| 24 |
+
2 Massachusetts Ave., N.E.
|
| 25 |
+
Washington, D.C. 20212-0001
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
|
| 29 |
+
Other Ways to Access our Data:
|
| 30 |
+
|
| 31 |
+
Federal Depository Libraries are free to the public and receive all BLS publications.
|
| 32 |
+
Locations can be found at http://www.access.gpo.gov/su_docs/fdlp/index.html.
|
| 33 |
+
|
| 34 |
+
Sales Publications:
|
| 35 |
+
|
| 36 |
+
BLS Chicago Sales Office (312) 353-1880
|
| 37 |
+
Mailing address:
|
| 38 |
+
Bureau of Labor Statistics
|
| 39 |
+
Publications Sales Center
|
| 40 |
+
P.O. Box 2145
|
| 41 |
+
Chicago, IL 60690
|
| 42 |
+
|
| 43 |
+
GPO Ordering Information: URL: http://bookstore.gpo.gov/locations/index.html
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
Subscriptions:
|
| 47 |
+
|
| 48 |
+
GPO Superintendent of Documents
|
| 49 |
+
P.O. Box 371954
|
| 50 |
+
Pittsburgh, PA 15250-7954
|
| 51 |
+
|
| 52 |
+
BLS Recorded announcements: (202) 691-5200
|
| 53 |
+
|
| 54 |
+
BLS Fax On Demand: (202) 691-6325 (ECI and ECEC News Releases)
|
| 55 |
+
|
| 56 |
+
******************************************************************************
|
bls/cc/cc.txt
ADDED
|
@@ -0,0 +1,305 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
Employer Costs for Employee Compensation(CC)
|
| 3 |
+
cc.txt
|
| 4 |
+
|
| 5 |
+
Section Listing
|
| 6 |
+
|
| 7 |
+
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
|
| 14 |
+
|
| 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 |
+
|
bls/cc/cc_benefit.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93da915c294089d016b362544fef8bc57b62e60f5079fcfe22adcf62ffce1596
|
| 3 |
+
size 4028
|
bls/cc/cc_costfactor.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:94c520db713acb2c39bcae11456ab427d3715f43d74b9610139d7bc71882bcda
|
| 3 |
+
size 1977
|
bls/cc/cc_data_1_AllData.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ba0bd78b7673ce73ff8cbfc8e900a19a5a9d91ce7217ce2329b00d31e5c53cd7
|
| 3 |
+
size 161233
|
bls/cc/cc_footnote.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6ea0556d6b11f8dbcbca2302f93870eee4457657a8189b8a054b71cf566c01ae
|
| 3 |
+
size 1923
|
bls/cc/cc_industryocc.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2038bd392cd319effdcec77db8757ce16f85111eaf0bbfb21cb0e87b29e6bfbc
|
| 3 |
+
size 6254
|
bls/cc/cc_sector.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b40422533d2e26d618f95bdaf24368d1ae3b77daa163b4a5b971e56d675574c1
|
| 3 |
+
size 3625
|
bls/cc/cc_series.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6d916f68262fb83b62a067955fc5a8af59ce2cb02200e319bf0e78d328c7aabc
|
| 3 |
+
size 27411
|
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 |
+
|
bls/cd/cd_age.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef8733072cf66c8fee033e85dc6c06b3dd3253d7ea27072da7e12742a181f9dd
|
| 3 |
+
size 1839
|
bls/cd/cd_case.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:646299df2b2ac62a1ae920f79ae50eba587683f00de1da6cd9ffb79c3cba8cac
|
| 3 |
+
size 2147
|
bls/cd/cd_category.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:78e97cf1f22961afc5e0454580c3ac02a6235349974692d08c0eccda751e0a1b
|
| 3 |
+
size 4778
|
bls/cd/cd_category2.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef5a95fe897337b1a8e20507f5ada0941821fd7c4cf174e2868329c178556e53
|
| 3 |
+
size 3444
|
bls/cd/cd_contacts.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c1b04ab39f7d690a1d72d94b2b06ce5a7d466cd5bbbea0d7246447710c205ac0
|
| 3 |
+
size 2431
|
bls/cd/cd_data_1_AllData.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ded1aa20a4350a52b26c6a7eea522c19d253dfdb255904651d265f5816c6301f
|
| 3 |
+
size 7044620
|
bls/cd/cd_datatype.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1c518900173abcb04409bb020da82a10e9b1cd18e1d6a225bf03154188425796
|
| 3 |
+
size 2026
|
bls/cd/cd_event.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:49d5f4a21f6e3a1d9c41690ed3e5a91924827c5608dc43db695e5719d1e6b38f
|
| 3 |
+
size 7979
|
bls/cd/cd_footnote.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:58c2ba2d2207611d5821a5986d64fd20d89423f12843be2eeec1d2cfa25c9f4a
|
| 3 |
+
size 1787
|
bls/cd/cd_gender.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f3773148c24aea9f5e74c28a2d6a246012d8c615a56769121874d78872f746c4
|
| 3 |
+
size 1829
|
bls/cd/cd_industry.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:23f3307aaa16814d8c9eaed1b80c3680666cedf361d7d7e4299a8f061ca4fd49
|
| 3 |
+
size 16359
|
bls/cd/cd_los.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:283c1ecf2feb779a131103bd352eded0c10f4c05fc885188ab37a620a7914ea0
|
| 3 |
+
size 1831
|
bls/cd/cd_nature.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:269142cb804054dc7cbd10d54fbcbc2881b04fa4ad04c6c54201667321c9e887
|
| 3 |
+
size 3066
|
bls/cd/cd_occupation.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f944a6a72325d5e543c00f2ae5901ab2dcbc540fb183016e07c53c9beb32dcea
|
| 3 |
+
size 2895
|
bls/cd/cd_pob.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2e9ae0b4745af5bde8cc7da8c8af41d99ffd7f90650a036e294d60f68252062d
|
| 3 |
+
size 2109
|
bls/cd/cd_race.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6bc1997d071c564aa3893ea91f57da479d118b04536c6aca180f95f2bfce256f
|
| 3 |
+
size 1888
|
bls/cd/cd_series.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ad3ee4e7ac82248e38fa6ffd8431d851a5dab22b08210b3ecd05d3573a901fd5
|
| 3 |
+
size 1523718
|
bls/cd/cd_source.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9823ee5035cb7a178dda14e2b0683349f6571fa8359f9cf5678379a2106c8069
|
| 3 |
+
size 5746
|
bls/ce/README.md
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
|
bls/ce/ce_contacts.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:75aa9c7216178ed0b163801b799efbbd1ba43859e5310456727ed35236715ea7
|
| 3 |
+
size 1997
|
bls/ce/ce_data_00a_TotalNonfarm_Employment.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:59aedfa5d87a8d32393886906807ba92c83c2a9e06484984ec2491f18dac7148
|
| 3 |
+
size 22402
|
bls/ce/ce_data_01a_CurrentSeasAE.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:75d3b8bfc00b4ac577d1bfd15c156d8989524fe0c16b5f423e1a4b78b0b9aa09
|
| 3 |
+
size 897053
|
bls/ce/ce_data_02b_AllRealEarningsAE.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9d441a7c61aac483e9f77d1e94975a50574126298c4bf9224e9ad190e12c022a
|
| 3 |
+
size 1330719
|
bls/ce/ce_data_03c_AllRealEarningsPE.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d24ff320e6e75662f613cfa8103b6aa22fc11a966f0329c6852d260220d20e88
|
| 3 |
+
size 1849807
|
bls/ce/ce_data_05a_TotalPrivate_Employment.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6f74dbd319b170c4c4afb0cacef652c97308097d25ecbc6cee32f31e7eb51c8b
|
| 3 |
+
size 92900
|
bls/ce/ce_data_05b_TotalPrivate_AllEmployeeHoursAndEarnings.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c5f252f323f465159513168ea7b46b77986e51b98058908cbb157cfb312ed6c5
|
| 3 |
+
size 56106
|
bls/ce/ce_data_05c_TotalPrivate_ProductionEmployeeHoursAndEarnings.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cc20923469b0ab0656aa9f9295afa3cc259359998ceb4bf167e8693698815276
|
| 3 |
+
size 164162
|
bls/ce/ce_data_0_AllCESSeries.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cd588d7f050e53ea769d3f940ef72c6d76f369ea7f0ca5be2a24b42ecc3ea4d9
|
| 3 |
+
size 25109460
|
bls/ce/ce_data_10a_MiningAndLogging_Employment.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f6f836c6d5e4996761b91943d327b5b68d3a28c8e19364392723ff6642a138d3
|
| 3 |
+
size 100548
|
bls/ce/ce_data_10b_MiningAndLogging_AllEmployeeHoursAndEarnings.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5dba5afd68719a8e185c8b66e85e0fb96a1abc531bebc5b2a577b89b40380ce3
|
| 3 |
+
size 188479
|
bls/ce/ce_data_10c_MiningAndLogging_ProductionEmployeeHoursAndEarnings.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a60b11ce0ec20abae9c491bf1835c6cfb20dd5f37abf58b9af47e44ff5a8c181
|
| 3 |
+
size 340236
|
bls/ce/ce_data_20a_Construction_Employment.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2724725fb3a48e5037d4c55aca0bac0a537237f2253fb4ad4809e89b6a6d62f1
|
| 3 |
+
size 264025
|
bls/ce/ce_data_20b_Construction_AllEmployeeHoursAndEarnings.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6340f273f5142f536fc278f8a062cd1bdf7c30c688f52907d57d6b45571df3d1
|
| 3 |
+
size 591016
|
bls/ce/ce_data_20c_Construction_ProductionEmployeeHoursAndEarnings.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7386808b791e83a303f9af92f5c44e4236c4d5eb699fcd1414636b142568dae1
|
| 3 |
+
size 928519
|
bls/ce/ce_data_30a_Manufacturing_Employment.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8eec245303130b23aa196a22e79136dac68a6235e67eb6518bbeaf24929ce31b
|
| 3 |
+
size 27785
|
bls/ce/ce_data_30b_Manufacturing_AllEmployeeHoursAndEarnings.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0aaf1fbe107f269e4092c0072dd4b2e3d8726e2995d2ae666bbe18c98cdfb230
|
| 3 |
+
size 25324
|
bls/ce/ce_data_30c_Manufacturing_ProductionEmployeeHoursAndEarnings.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6948d4eed0c72921060482e61e715a60331b6c8b7a63bce5a30a6d5b105a537e
|
| 3 |
+
size 85689
|