****** LEHD Public Use Data Schema for J2J Explorer (beta) V4.2-rc1 ****** Lars Vilhuber 21 December 2017 Table of Contents JavaScript must be enabled in your browser to display the table of contents. ( Printable_version ) Important This document is not an official Census Bureau publication. It is [Important] compiled from publicly accessible information by Lars Vilhuber (Labor_Dynamics_Institute,_Cornell_University). Feedback is welcome. Please write us at lars.vilhuber@cornell.edu. ***** 1. Purpose ***** The public-use Job-to-Job Flows (J2J) data provided by the Longitudinal Employer-Household Dynamics Program are accessible through the J2J_Explorer_ (beta). This document provides information on the schema used to format files downloaded through that application. ***** 2. Additional information ***** The complete LEHD schema is documented in lehd_public_use_schema.html. LEHD- provided SHP files are separately described in lehd_shapefiles.html. The naming conventions of the data files is documented in lehd_csv_naming.html. ***** 3. Extends ***** This is the first version of the schema for the J2J Explorer (beta) application. ***** 4. Supersedes ***** No prior version. ***** 5. Basic Schema ***** Each data file is structured as a CSV file. The first columns contain [identifiers], subsequent columns contain [indicators], followed by status flags. **** 5.1. Generic structure **** Column name [ Identifier1 ] [ Identifier2 ] [ Identifier3 ] [ … ] [ Indicator 1 ] [ Indicator 2 ] [ Indicator 3 ] [ … ] [ Status Flag 1 ] [ Status Flag 2 ] [ Status Flag 3 ] [ … ] Note: The J2J Explorer (beta) provides the full set of J2J indicators in addition to two composite Origin-Destination indicators. Files downloadable through other means may be structured differently, please consult the complete LEHD schema in lehd_public_use_schema.html. 5.2. Identifiers Records, unless otherwise noted, are parts of time-series data. Unique record identifiers are noted below, by file type. Identifiers without the year and quarter component can be considered a series identifier. *** 5.2.1. Identifiers for j2j *** ( lehd_identifiers_j2j.csv ) Variable Type label periodicity Char(1) Periodicity of report seasonadj Char(1) Seasonal Adjustment Indicator geo_level Char(1) Group: Geographic level of aggregation geography Char(8) Group: Geography code ind_level Char(1) Group: Industry level of aggregation industry Char(5) Group: Industry code ownercode Char(3) Group: Ownership group code sex Char(1) Group: Gender code agegrp Char(3) Group: Age group code (WIA) race Char(2) Group: race ethnicity Char(2) Group: ethnicity education Char(2) Group: education firmage Char(1) Group: Firm Age group firmsize Char(1) Group: Firm Size group year Num Time: Year quarter Num Time: Quarter agg_level Num Aggregation Level Indicator *** 5.2.2. Identifiers for j2jod *** ( lehd_identifiers_j2jod.csv ) Variable Type label periodicity Char(1) Periodicity of report seasonadj Char(1) Seasonal Adjustment Indicator geo_level Char(1) Group: Geographic level of aggregation of destination job geography Char(8) Group: Geography code of destination job ind_level Char(1) Group: Industry level of aggregation of destination job industry Char(5) Group: Industry code of destination job ownercode Char(3) Group: Ownership group code of destination job sex Char(1) Group: Gender code agegrp Char(3) Group: Age group code (WIA) race Char(2) Group: race ethnicity Char(2) Group: ethnicity education Char(2) Group: education firmage Char(1) Group: Firm Age group firmsize Char(1) Group: Firm Size group year Num Time: Year quarter Num Time: Quarter agg_level Num Aggregation Level Indicator geo_level_orig Char(1) Group: Geographic level of aggregation of origin job geography_orig Char(8) Group: Geography code of origin job ind_level_orig Char(1) Group: Industry level of aggregation of origin job industry_orig Char(5) Group: Industry code of origin job ownercode_orig Char(3) Group: Ownership group code of origin job firmage_orig Char(1) Group: Firm Age group of origin job firmsize_orig Char(1) Group: Firm Size group of origin job 5.3. Indicators The following tables and associated mapping files list the indicators available on each file. The 'Indicator Variable' is the short name of the variable on the CSV files, suitable for machine processing in a wide variety of statistical applications. When given, the 'Alternate name' may appear in related documentation and articles. The 'Status Flag' is used to indicate publication or data quality status (see Status_Flags). The 'Indicator Name' is a more verbose name for the indicator. The 'Description' provides a complete description of the indicator. 'Units' identify the type of variable: counts, rates, monetary amounts. 'Concept' classifies each indicator in a descriptive category: employment, hire, separation, earnings, or flow. The 'Base' indicates the denominator used to compute the statistic, and may be 1. *** 5.3.1. Job-to-job flow counts (J2J) *** ( variables_j2j.csv ) Indicator Alternate Name Status Flag Indicator Name Description Units Concept Base Variable MHire all_doma2 sMHire Hires Hires into a worker’s main job Count Hire 1 MSep all_doms2 sMSep Separations Separations from a worker’s main Count Separation 1 job MJobStart first_dome sMJobStart Main Job New main jobs due to hires and Count Hire 1 Starts instances when a previously existing secondary job becomes the main source of earnings MJobEnd last_domb sMJobEnd Main Job Ends End of main jobs due to Count Separation 1 separations and instances when another job becomes the main source of earnings EEHire ee_doma2 sEEHire Job-to-Job Hires following a separation with Count Hire 1 Hires no observed nonemployment spell (Continuous Employment) EESep ee_doms2 sEESep Job-to-Job Separations followed by a hire Count Separation 1 Separations with no observed nonemployment (Continuous spell Employment) AQHire aq_doma2 sAQHire Job-to-Job Hires following a separation with Count Hire 1 Hires (Brief a short nonemployment spell Nonemployment) AQSep aq_doms2 sAQSep Job-to-Job Separations followed by a hire Count Separation 1 Separations with a short nonemployment spell (Brief Nonemployment) J2JHire j2j_doma2 sJ2JHire Job-to-Job Hires following a separation Count Hire 1 Hires (short or no observed nonemployment spell) J2JSep j2j_doms2 sJ2JSep Job-to-Job Separations followed by a hire Count Separation 1 Separations (short or no observed nonemployment spell) NEHire ne_doma2 sNEHire Hires from Hires following any spell of Count Hire 1 Nonemployment nonemployment ENSep en_doms2 sENSep Separations to Separations into any spell of Count Separation 1 Nonemployment nonemployment NEPersist ne2_doma2 sNEPersist Hires from Hires following a spell of Count Hire 1 Persistent persistent nonemployment Nonemployment ENPersist en2_doms2 sENPersist Separations to Separations into a spell of Count Separation 1 Persistent persistent nonemployment Nonemployment NEFullQ ne2p_doma2 sNEFullQ Hires from Hires following a spell of full- Count Hire 1 Full-Quarter quarter nonemployment (does not Nonemployment include intermittently employed) ENFullQ en2p_doms2 sENFullQ Separations to Separations into a spell of full- Count Separation 1 Full-Quarter quarter nonemployment (does not Nonemployment include intermittently employed) MainB domB sMainB Employment Main jobs held on the first day of Count Employment 1 (Beginning of the quarter Quarter) MainE domE sMainE Employment Main jobs held on the last day of Count Employment 1 (End of the quarter Quarter) EESepS fee_doms2 sEESepS Stable Job-to- Separations from stable employment Count Separation 1 Job followed by a hire to stable Separations employment with no observed (Continuous nonemployment spell Employment) EEHireS fee_doma2 sEEHireS Stable Job-to- Hires to stable employment Count Hire 1 Job Hires following a separation from stable (Continuous employment with no observed Employment) nonemployment spell AQSepS faq_doms2 sAQSepS Stable Job-to- Separations from stable employment Count Separation 1 Job followed by a hire to stable Separations employment with a short (Brief nonemployment spell Nonemployment) AQHireS faq_doma2 sAQHireS Stable Job-to- Hires to stable employment Count Hire 1 Job Hires following a separation from stable (Brief employment with a short Nonemployment) nonemployment spell NEPersistS fne2_doma2 sNEPersistS Stable Hires Hires to stable employment Count Hire 1 from following a spell of persistent Persistent nonemployment Nonemployment ENPersistS fen2_doms2 sENPersistS Stable Separations from stable employment Count Separation 1 Separations to into a spell of persistent Persistent nonemployment Nonemployment JobStayS f4dombe sJobStayS Stable Job Stable main jobs that did not Count Employment 1 Stayer change during the reference quarter MainBS fdomb sMainBS Stable Stable main jobs held on the first Count Employment 1 Employment day of the quarter (Beginning of Quarter) MainES fdome sMainES Stable Stable main jobs held on the last Count Employment 1 Employment day of the quarter (End of Quarter) NEHireSEarn_Dest fne2_doma2_kfqearn sNEHireSEarn_Dest Average Average quarterly earnings Dollars Earnings NEPersistS Earnings following hires to stable following employment from a spell of Stable Hires persistent nonemployment from Persistent Nonemployment ENSepSEarn_Orig fen2_doms2_jfqearn sENSepSEarn_Orig Average Average quarterly earnings prior Dollars Earnings ENPersistS Earnings prior to separations from stable to Stable employment into a spell of Separations to persistent nonemployment Persistent Nonemployment JobStaySEarn_Orig f4dombe_jfqearn sJobStaySEarn_Orig Average Average quarterly earnings in the Dollars Earnings JobStayS Earnings prior previous quarter when workers to Stable Job stayed in a stable job Stayer JobStaySEarn_Dest f4dombe_kfqearn sJobStaySEarn_Dest Average Average quarterly earnings in the Dollars Earnings JobStayS Earnings quarter when workers stayed in a following stable job Stable Job Stayer *** 5.3.2. Job-to-job flow rates (J2JR) *** ( variables_j2jr.csv ) Rates are computed from published data, and are provided as a convenience. Indicator Alternate Name Status Flag Indicator Name Description Units Concept Base Variable MHireR all_doma2_rate sMHireR Hires Rate of hires into a worker’s main job Rate Hire ( (MainB+MainE)/ 2) MSepR all_doms2_rate sMSepR Separations Rate of separations from a worker’s main Rate Separation ( job (MainB+MainE)/ 2) MJobStartR first_dome_rate sMJobStartR Main Job Rate of new main jobs due to hires and Rate Hire ( Starts instances when a previously existing (MainB+MainE)/ secondary job becomes the main source of 2) earnings MJobEndR last_domb_rate sMJobEndR Main Job Ends Rate of end of main jobs due to Rate Separation ( separations and instances when another job (MainB+MainE)/ becomes the main source of earnings 2) EEHireR ee_doma2_rate sEEHireR Job-to-Job Rate of hires following a separation with Rate Hire ( Hires no observed nonemployment spell (MainB+MainE)/ (Continuous 2) Employment) EESepR ee_doms2_rate sEESepR Job-to-Job Rate of separations followed by a hire Rate Separation ( Separations with no observed nonemployment spell (MainB+MainE)/ (Continuous 2) Employment) AQHireR aq_doma2_rate sAQHireR Job-to-Job Rate of hires following a separation with Rate Hire ( Hires (Brief a short nonemployment spell (MainB+MainE)/ Nonemployment) 2) AQSepR aq_doms2_rate sAQSepR Job-to-Job Rate of separations followed by a hire Rate Separation ( Separations with a short nonemployment spell (MainB+MainE)/ (Brief 2) Nonemployment) J2JHireR j2j_doma2_rate sJ2JHireR Job-to-Job Rate of hires following a separation Rate Hire ( Hires (short or no observed nonemployment spell) (MainB+MainE)/ 2) J2JSepR j2j_doms2_rate sJ2JSepR Job-to-Job Rate of separations followed by a hire Rate Separation ( Separations (short or no observed nonemployment spell) (MainB+MainE)/ 2) NEHireR ne_doma2_rate sNEHireR Hires from Rate of hires following any spell of Rate Hire ( Nonemployment nonemployment (MainB+MainE)/ 2) ENSepR en_doms2_rate sENSepR Separations to Rate of separations into any spell of Rate Separation ( Nonemployment nonemployment (MainB+MainE)/ 2) NEPersistR ne2_doma2_rate sNEPersistR Hires from Rate of hires following a spell of Rate Hire ( Persistent persistent nonemployment (MainB+MainE)/ Nonemployment 2) ENPersistR en2_doms2_rate sENPersistR Separations to Rate of separations into a spell of Rate Separation ( Persistent persistent nonemployment (MainB+MainE)/ Nonemployment 2) NEFullQR ne2p_doma2_rate sNEFullQR Hires from Rate of hires following a spell of full- Rate Hire ( Full-Quarter quarter nonemployment (does not include (MainB+MainE)/ Nonemployment intermittently employed) 2) ENFullQR en2p_doms2_rate sENFullQR Separations to Rate of separations into a spell of full- Rate Separation ( Full-Quarter quarter nonemployment (does not include (MainB+MainE)/ Nonemployment intermittently employed) 2) *** 5.3.3. Job-to-job flow Origin-Destination (J2JOD) *** ( variables_j2jod.csv ) Indicator Alternate Name Status Flag Indicator Name Description Units Concept Base Variable EE ee_doma2 sEE Job-to-Job Job flows Count Hire 1 Flows with no (Continuous observed Employment) nonemployment spell AQHire aq_doma2 sAQHire Job-to-Job Job flows Count Hire 1 Flows (Brief with a short Nonemployment) nonemployment spell EES fee_doma2 sEES Stable Job-to- Job flows Count Hire 1 Job Flows from stable (Continuous employment Employment) into stable employment with no observed nonemployment spell AQHireS faq_doma2 sAQHireS Stable Job-to- Job flows Count Hire 1 Job Flows from stable (Brief employment Nonemployment) into stable employment with a short nonemployment spell EESEarn_Orig fee_doma2_jfqearn sEESEarn_Orig Average Average Dollars Earnings EES Earnings prior quarterly to Job-to-Job earnings Flows prior to job (Continuous flows with no Employment) observed nonemployment spell EESEarn_Dest fee_doma2_kfqearn sEESEarn_Dest Average Average Dollars Earnings EES Earnings quarterly following Job- earnings to-Job Flows following job (Continuous flows with no Employment) observed nonemployment spell AQHireSEarn_Orig faq_doma2_jfqearn sAQHireSEarn_Orig Average Average Dollars Earnings AQHireS Earnings prior quarterly to Job-to-Job earnings Flows (Brief prior to job Nonemployment) flows with a short nonemployment spell AQHireSEarn_Dest faq_doma2_kfqearn sAQHireSEarn_Dest Average Average Dollars Earnings AQHireS Earnings quarterly following Job- earnings to-Job Flows following job (Brief flows with a Nonemployment) short nonemployment spell *** 5.3.4. Job-to-job flow computed by the app (J2JAPP) *** ( variables_j2japp.csv ) Indicator Alternate Name Status Flag Indicator Description Units Concept Base Variable Name J2J j2j_doma2 sJ2J Job-to- Job flows Count Hire 1 Job Flows with a short or no observed nonemployment spell J2JS fj2j_doma2 sJ2JS Stable Job flows Count Hire 1 Job-to- from stable Job Flows employment into stable employment with a short or no observed nonemployment spell J2JSEarn_Orig fj2j_doma2_jfqearn sJ2JSEarn_Orig Average Average Dollars Earnings J2JS Earnings quarterly prior to earnings Job-to- prior to job Job Flows flows with a short or no observed nonemployment spell J2JSEarn_Dest fj2j_doma2_kfqearn sJ2JSEarn_Dest Average Average Dollars Earnings J2JS Earnings quarterly following earnings Job-to- following job Job Flows flows with a short or no observed nonemployment spell 6. Categorical Variables Categorical variable descriptions are displayed above each table, with the variable name shown in parentheses. Unless otherwise stated, every possible value/label combination for each categorical variable is listed. Please note that not all values will be available in every table. **** 6.1. agegrp **** ( label_agegrp.csv ) agegrp label A00 All Ages (14-99) A01 14-18 A02 19-21 A03 22-24 A04 25-34 A05 35-44 A06 45-54 A07 55-64 A08 65-99 **** 6.2. concept_draft **** ( label_concept_draft.csv ) Concept Definition Hire Measure derived from the the first quarter that a job is the main source of income (usually a hire) Separation Measure derived from the last quarter that a job is the main source of income (usually a separation) Employment Measure counting the stock of all jobs at a point in time Earnings Measure of average earnings associated with a base employment or job transition measure **** 6.3. education **** ( label_education.csv ) education label E0 All Education Categories E1 Less than high school E2 High school or equivalent, no college E3 Some college or Associate degree E4 Bachelor’s degree or advanced degree E5 Educational attainment not available (workers aged 24 or younger) **** 6.4. ethnicity **** ( label_ethnicity.csv ) ethnicity label A0 All Ethnicities A1 Not Hispanic or Latino A2 Hispanic or Latino **** 6.5. firmage **** ( label_firmage.csv ) firmage label 0 All Firm Ages 1 0-1 Years 2 2-3 Years 3 4-5 Years 4 6-10 Years 5 11+ Years N Firm Age Not Available For Public-Sector Firms **** 6.6. firmsize **** ( label_firmsize.csv ) firmsize label 0 All Firm Sizes 1 0-19 Employees 2 20-49 Employees 3 50-249 Employees 4 250-499 Employees 5 500+ Employees N Firm Size Not Available For Public-Sector Firms **** 6.7. ownercode **** ( label_ownercode.csv ) ownercode label A00 State and local government plus private ownership A01 Federal government A05 All Private **** 6.8. periodicity **** ( label_periodicity.csv ) periodicity label A Annual data Q Quarterly data **** 6.9. quarter **** ( label_quarter.csv ) quarter label 1 1st Quarter of the Year (January-March) 2 2nd Quarter of the Year (April-June) 3 3rd Quarter of the Year (July-September) 4 4th Quarter of the Year (October-December) **** 6.10. race **** ( label_race.csv ) race label A0 All Races A1 White Alone A2 Black or African American Alone A3 American Indian or Alaska Native Alone A4 Asian Alone A5 Native Hawaiian or Other Pacific Islander Alone A6 Some Other Race Alone (Not Used) A7 Two or More Race Groups **** 6.11. seasonadj **** ( label_seasonadj.csv ) seasonadj label S Seasonally adjusted U Not seasonally adjusted **** 6.12. sex **** ( label_sex.csv ) sex label 0 All Sexes 1 Male 2 Female **** 6.13. stusps **** ( label_stusps.csv ) geography stusps 00 US 01 AL 02 AK 04 AZ 05 AR 06 CA 08 CO 09 CT 10 DE 11 DC 12 FL 13 GA 15 HI 16 ID 17 IL 18 IN 19 IA 20 KS 21 KY 22 LA 23 ME 24 MD 25 MA 26 MI 27 MN 28 MS 29 MO 30 MT 31 NE 32 NV 33 NH 34 NJ 35 NM 36 NY 37 NC 38 ND 39 OH 40 OK 41 OR 42 PA 44 RI 45 SC 46 SD 47 TN 48 TX 49 UT 50 VT 51 VA 53 WA 54 WV 55 WI 56 WY 72 PR 78 VI **** 6.14. Industry **** *** 6.14.1. Industry levels *** ( label_ind_level.csv ) ind_level label A All Industries S NAICS Sectors 3 NAICS Subsectors 4 NAICS Industry Groups *** 6.14.2. Industry *** ( label_industry.csv ) Only a small subset of available values shown. The 2017 NAICS (North American Industry Classification System) is used for all years. QWI releases prior to R2018Q1 used the 2012 NAICS classification (see Schema_v4.1.3). For a full listing of all valid 2017 NAICS codes, see http://www.census.gov/cgi-bin/sssd/ naics/naicsrch?chart=2017. industry label ind_level 00 All NAICS Sectors A 000 All NAICS Subsectors A 0000 All NAICS Industry Groups A 11 Agriculture, Forestry, Fishing and Hunting 2 111 Crop Production 3 1111 Oilseed and Grain Farming 4 1112 Vegetable and Melon Farming 4 … 2382 Building Equipment Contractors 4 2383 Building Finishing Contractors 4 2389 Other Specialty Trade Contractors 4 31-33 Manufacturing 2 311 Food Manufacturing 3 3111 Animal Food Manufacturing 4 3112 Grain and Oilseed Milling 4 3113 Sugar and Confectionery Product Manufacturing 4 … 6.15. Geography 6.15.1. Geographic levels Geography labels for data files are provided in separate files, by scope. Each file label_geograpy_SCOPE.csv may contain one or more types of records as flagged by geo_level. For convenience, a composite file containing all geocodes is available as label_geography.csv. The 2017 vintage of Census_TIGER/Line geography is used for all tabulations as of the R2018Q1 release. Shapefiles are described in a separate_document. ( label_geo_level.csv ) geo_level label description sourceurl B Metropolitan Identifies 5-digit CBSA code for metropolitan areas provided by the Census http:// (complete) Bureau’s Geography Division. Balance of state including micropolitan areas www.census.gov/ are identified by custom codes as [ST]999 population/metro/ C Counties Identifies 5-digit FIPS/ANSI code for counties https:// www.census.gov/geo/ reference/codes/ cou.html M Metropolitan/ Identifies 7-digit code constructed from the 2-digit state FIPS code and the http:// Micropolitan 5-digit CBSA code provided by the Census Bureau’s Geography Division www.census.gov/ (state part) population/metro/ N National (50 Custom code using 00 to denote national scope States + DC) S States Identifies 2-digit FIPS/ANSI codes https:// www.census.gov/geo/ reference/ ansi_statetables.html W Workforce 2-digit state FIPS code and the 6-digit WIA identifier provided by LED State Investment Partners Areas *** 6.15.2. National and state-level values *** ( label_fipsnum.csv ) The file label_fipsnum.csv contains values and labels for all entities of geo_level N or S, and is a summary of separately available files. geography label geo_level 00 National (50 States + DC) N 01 Alabama S 02 Alaska S 04 Arizona S 05 Arkansas S 06 California S 08 Colorado S … 45 South Carolina S 46 South Dakota S 47 Tennessee S 48 Texas S 49 Utah S 50 Vermont S 51 Virginia S 53 Washington S 6.15.3. State postal codes Some parts of the schema use (lower or upper-case) state postal codes. ( label_stusps.csv ) geography stusps 00 US 01 AL 02 AK 04 AZ 05 AR 06 CA 08 CO 09 CT 10 DE 11 DC 12 FL 13 GA 15 HI 16 ID 17 IL 18 IN 19 IA 20 KS 21 KY 22 LA 23 ME 24 MD 25 MA 26 MI 27 MN 28 MS 29 MO 30 MT 31 NE 32 NV 33 NH 34 NJ 35 NM 36 NY 37 NC 38 ND 39 OH 40 OK 41 OR 42 PA 44 RI 45 SC 46 SD 47 TN 48 TX 49 UT 50 VT 51 VA 53 WA 54 WV 55 WI 56 WY 72 PR 78 VI *** 6.15.4. Detailed state and substate level values *** Note: cross-state CBSA, in records of type geo_level = M, are present on files of type label_geography_XX.csv. A particular cross-state CBSA will appear on multiple files. Scope Format file US label_geography_us.csv METRO label_geography_metro.csv States AK label_geography_ak.csv AL label_geography_al.csv AR label_geography_ar.csv AZ label_geography_az.csv CA label_geography_ca.csv CO label_geography_co.csv CT label_geography_ct.csv DC label_geography_dc.csv DE label_geography_de.csv FL label_geography_fl.csv GA label_geography_ga.csv HI label_geography_hi.csv IA label_geography_ia.csv ID label_geography_id.csv IL label_geography_il.csv IN label_geography_in.csv KS label_geography_ks.csv KY label_geography_ky.csv LA label_geography_la.csv MA label_geography_ma.csv MD label_geography_md.csv ME label_geography_me.csv MI label_geography_mi.csv MN label_geography_mn.csv MO label_geography_mo.csv MS label_geography_ms.csv MT label_geography_mt.csv NC label_geography_nc.csv ND label_geography_nd.csv NE label_geography_ne.csv NH label_geography_nh.csv NJ label_geography_nj.csv NM label_geography_nm.csv NV label_geography_nv.csv NY label_geography_ny.csv OH label_geography_oh.csv OK label_geography_ok.csv OR label_geography_or.csv PA label_geography_pa.csv RI label_geography_ri.csv SC label_geography_sc.csv SD label_geography_sd.csv TN label_geography_tn.csv TX label_geography_tx.csv UT label_geography_ut.csv VA label_geography_va.csv VT label_geography_vt.csv WA label_geography_wa.csv WI label_geography_wi.csv WV label_geography_wv.csv WY label_geography_wy.csv **** 6.16. Aggregation level **** ( label_agg_level.csv ) Measures within the J2J and QWI data products are tabulated on many different dimensions, including demographic characteristics, geography, industry, and other firm characteristics. For Origin-Destination (O-D) tables, characteristics of the origin and destination firm can be tabulated separately. Every tabulation level is assigned a unique aggregation index, represented by the agg_level variable. This index starts from 1, representing a national level grand total (all industries, workers, etc.), and progresses through different combinations of characteristics. There are gaps in the progression to leave space for aggregation levels that may be included in future data releases. agg_level is currently reported only for J2J data products. The following variables are included in the label_agg_level.csv file: Variable Description agg_level index representing level of aggregation reported on a given record worker_char demographic (worker) characteristics reported on record firm_char firm characteristics reported on record. These will be the characteristics of the destination firm in O-D tabulations firm_orig_char characteristics of origin firm reported on record (O- D tabulations only) j2j Flag: Aggregation level available on J2J counts tables j2jr Flag: Aggregation level available on J2J rates tables j2jod Flag: Aggregation level available on J2J O-D tables qwi Flag: Aggregation level available on QWI The characteristics available on an aggregation level are repeated using a series of flags following the standard schema: * geo_level - geographic level of table * ind_level - industry level of table * by_ variables - flags indicating other dimensions reported, including ownership, demographics, firm age and size. A shortened representation of the file is provided below, the complete file is available in the link above. agg_level worker_char firm_char firm_orig_char j2j j2jr j2jod qwi geo_level 1 1 1 1 0 N 2 Sex 1 1 1 0 N 3 Age 1 1 1 0 N 4 Sex * Age 1 1 1 0 N 5 Race 1 1 1 0 N 9 Ethnicity 1 1 1 0 N 13 Race * 1 1 1 0 N Ethnicity … 129 Firm Size 1 1 1 0 N 257 NAICS Sector 1 1 1 0 N 258 Sex NAICS Sector 1 1 1 0 N … 1029 Race State 1 1 1 0 S 1033 Ethnicity State 1 1 1 0 S 1037 Race * State 1 1 1 0 S Ethnicity … 7. Status flags ( label_flags.csv ) Each status flag in the tables above contains one of the following valid values. The values and their interpretation are listed in the table below. Important [Important] Note: Currently, the J2J tables only contain status flags -1, 1, 5. Status flags with values 10 or above only appear in online applications, not in CSV files. flag label -2 no data available in this category for this quarter -1 data not available to compute this estimate 1 OK 5 Value suppressed because it does not meet US Census Bureau publication standards. 6 Value calculated from other released measures - no significant distortion 7 Value calculated from other released measures - some of which have significantly distorted data 9 Data significantly distorted - fuzzed value released 10 Aggregate of cells - no significant distortion 11 Aggregate of cells not released because component cells do not meet U.S. Census Bureau publication standards 12 Aggregate of cells - some of which have significantly distorted data 8. Metadata ( variables_version.csv ) 8.1. Version Metadata for J2J Files (version.txt) Each data release is accompanied by one or more files with metadata on geographic and temporal coverage, in a compact notation. These files follow the following naming convention: version_[type].txt where each component is described in more detail in lehd_csv_naming.html. The contents contains the following elements: Component Source Description product [type] Type as described in lehd_csv_naming.html demo_fas [demo]_[fas] (optional - concatenated with product) used for QWI to distinguish separate tabulations from the legal [demo]_[fas] combinations as described in lehd_csv_naming.html geo [stusps] or METRO Covered [geography] (uppercase state postal code including entire nation or the word METRO) geonum [geography] Numeric geography code start yyyy:q Start year and quarter end yyyy:q End year and quarter schema Vx.y.z Version of the schema release RyyyyQq Release quarter (identifies when the data was created) internal various Internal identifier used for provenance tracking For instance, the metadata for the R2017Q3 release of Missouri J2J tabulations (obtained from here) has the following content: J2J MO 29 2000:2-2016:3 V4.2b-draft R2017Q3 j2jpu_mo_20171023_1412 Some J2J metadata may contain multiple lines, as necessary. 8.2. Additional Metadata for J2JOD Files (avail.csv) (variables_avail.csv) Because the origin-destination (J2JOD) data link two regions, we provide an auxiliary file with the time range that cells containing data for each geographic pairing may appear in a data release. variable type label geo_level Char(1) Geographic level of destination region geography Char(8) Geography code of destination region geo_level_orig Char(1) Geographic level of origin region geography_orig Char(8) Geography code of origin region start_year Num First year regional pair may be observed start_quarter Num First quarter regional pair may be observed end_year Num Last year regional pair may be observed end_quarter Num Last quarter regional pair may be observed The reference region will always be either the origin or the destination. National tabulations contain records where both origin and destination are geo_level=N; state tabulations contain records where geo_level in (N,S); metro tabulations contain records where geo_level in (N,S,B). Data may be suppressed for certain combinations of regions and quarters because the estimates do not meet Census Bureau publication standards. 8.3. Metadata on Indicator Availability (variables_lags.csv) Each Indicator potentially requires leads and/or lags of data to be computed, and thus may not be available for certain time periods. The date range for J2J and J2JR can be found in version.txt; the date range for J2JOD can be found in avail.csv. For each indicator, the following files contain the quarters of data required to be available relative to the overall date range described in the metadata for the release: * lags_j2j.csv * lags_j2japp.csv The files are structured as follows: variable type label Indicator Variable Num Name of the Indicator Quarters_Required_Prior Num Number of quarters of data required to compute indicator relative to start quarter Quarters_Required_Subsequent Num Number of quarters of data required to compute indicator relative to end quarter This revision: Thu Dec 21 14:47:59 EST 2017 =============================================================================== Last updated 2017-12-21 14:47:59 EST