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bls/nb/README.md

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+# BLS survey `nb`
+
+Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/nb/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics.
+
+Survey documentation: `nb.txt`.
+
+`*_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.
+
+| file | rows | columns |
+|---|---|---|
+| nb.aspect | 813921 | series_id, year, period, aspect_type, value, footnote_codes |
+| nb.contacts | 9 | National Compensation Survey - Benefits Contacts |
+| nb.data.1.AllData | 813921 | series_id, year, period, value, footnote_codes |
+| nb.datatype | 16 | datatype_code, datatype_text, display_level, selectable, sort_sequence |
+| nb.estimate | 45 | estimate_code, estimate_text, display_level, selectable, sort_sequence |
+| nb.footnote | 11 | footnote_code, footnote_text |
+| nb.industry | 30 | industry_code, industry_text, display_level, selectable, sort_sequence |
+| nb.occupation | 19 | occupation_code, occupation_text, display_level, selectable, sort_sequence |
+| nb.ownership | 5 | ownership_code, ownership_text, display_level, selectable, sort_sequence |
+| nb.provision | 1232 | provision_code, provision_text, display_level, selectable, sort_sequence |
+| nb.seasonal | 2 | seasonal_code, seasonal_text |
+| nb.series | 101893 | series_id, seasonal, ownership_code, estimate_code, industry_code, occupation_code, subcell_code, datatype_code, provision_code, survey_code, series_title, footnote_codes, begin_year, begin_period, end_year, end_period |
+| nb.subcell | 53 | subcell_code, subcell_text, display_level, selectable, sort_sequence |
+| nb.survey | 2 | survey_code, survey_text, display_level, selectable, sort_sequence |

bls/nb/nb.txt

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+National Compensation Survey - Benefits (NB)
+nb.txt
+
+Section Listing
+
+1.  Survey definition
+2.  Download files listed in the survey directory
+3.  Series file, data file, and mapping file definitions and relationships
+4.  Series file format and field definitions
+5.  Data file format and field definitions
+6.  Mapping file formats and field definitions
+7.  Data element dictionary
+
+===============================================================================
+Section 1: Survey definition 
+===============================================================================
+
+Survey Description: The National Compensation Survey provides comprehensive 
+measures of compensation cost trends and the coverage, costs, and provisions
+of employer-sponsored benefits in the United States. Estimates include 
+incidence and key provisions of employer-sponsored benefits for civilian 
+workers, private industry workers, as well as state and local government 
+workers by worker and establishment characteristics. Detailed health and 
+retirement provisions are also published. 
+
+The survey covers occupations in the civilian economy, which includes the 
+total private economy (excluding farms and households), and the public sector
+(excluding the federal government). Statistics are published for the private
+and public sectors separately, and the data are combined in a measure for the
+civilian economy.
+
+For more information about the sample size, see the technical note section of
+the Employee Benefits in the United States news release
+www.bls.gov/news.release/ebs2.nr0.htm. The sampled establishments are 
+classified in industry categories based on the North American Industrial 
+Classification System (NAICS). Within an establishment, specific jobs are 
+selected and are classified according to the Standard Occupational 
+Classification (SOC) system.
+
+Summary Data Available: Data for National Benefits (NB) begin with March 2010. 
+
+Benefits published include:
+Retirement benefits 
+	Defined benefit plans
+	Defined contribution plans
+Healthcare benefits
+	Medical care 
+		Share of premiums paid by employer and employee
+		Monthly employee contributions for single and family coverage
+	Dental plans
+	Vision plans
+	Outpatient prescription drug coverage
+Insurance benefits
+	Life
+	Short-term disability
+	Long-term disability 
+Leave benefits 
+	Sick leave 
+	Vacation leave 
+	Family leave
+		Unpaid leave
+		Paid leave (through 2025)
+		Paid family and medical leave (beginning 2026)
+Other benefits 
+	Financial benefits
+	Child care
+	Wellness
+
+Frequency of Observations: 
+  Employee benefits in the United States are published annually for the March
+  reference month.  
+
+Data Characteristics: 
+  Access, participation, and take-up rates presented as the percent of 
+  workers 
+  Percent of establishments offering benefits 
+  Share of premiums (in percent) paid by employers and employees
+  Dollar amounts for medical premiums
+  Dollar amounts for weekly and monthly insurance benefits
+
+Data from the discontinued Employee Benefits Survey (EB) are also available 
+in the database www.bls.gov/ebs/data.htm. For more information, see 
+https://download.bls.gov/pub/time.series/eb/eb.txt
+
+Detailed information on survey concepts, coverage, and methods can be found 
+in the BLS Handbook of Methods, "Employee Benefits," 
+www.bls.gov/opub/hom/eb.
+
+===============================================================================
+Section 2: Download files listed in the survey directory
+===============================================================================
+
+The following benefits files are on the BLS internet site at 
+https://download.bls.gov/pub/time.series/nb:
+	
+File Name		Contents				File Type
+nb.series		- all series and their beginning        series file
+			  and end dates			
+nb.aspect		- all available standard errors		data file 
+nb.contacts		- contact information 			N/A
+nb.data.1.Alldata	- all available estimates		data file
+nb.datatype		- datatype codes 		    	mapping file
+nb.estimate		- estimate identification codes    	mapping file
+nb.footnote		- footnote codes 		    	mapping file
+nb.industry		- industry codes 		    	mapping file
+nb.occupation		- occupation codes 		    	mapping file
+nb.ownership		- ownership (sector) codes 	    	mapping file
+nb.provision		- description of coverage,          	mapping file
+			  features, or limits of benefit 
+			  plans
+nb.seasonal		- seasonal codes 		    	mapping file
+nb.subcell		- job characteristic codes 	    	mapping file
+nb.survey		- survey codes 			    	mapping file
+nb.txt			- general information in this           N/A
+			  document			    	
+
+===============================================================================
+Section 3: Series file, data files, and mapping files definitions and 
+relationships
+===============================================================================
+
+The series file contains a unique series identification code for each 
+published series and columns of associated codes defining the code segments.
+Additionally, the series file also contains the following series-level 
+information:
+
+a) the period and year corresponding to the first data observation 
+b) the period and year corresponding to the most recent data observation
+
+The following set of files are provided:
+
+a) a series file (only one series file per survey)
+b) data files
+c) mapping files
+
+The data files contain the series ids, reference period, measures of 
+reliability, and estimates. 
+
+The mapping files are definition files that contain explanatory text 
+descriptions which correspond to each of the various codes used to define 
+each series identification code.
+
+===============================================================================
+Section 4: Series file format and field definitions
+===============================================================================
+
+The following represents the file format used to define the nb.series file. 
+Note that the field numbers are for reference only; they do not exist in the 
+database. Data elements are separated by tabs. The first record of each file 
+contains the column headers for the data elements stored in each field. Each 
+record ends with a new line character. 
+
+File Name: nb.series
+Field #/Data Element		Length	    	Value(Example)		
+
+1. series_id			23		NBU10000000000000028007
+
+2. seasonal			1		U	
+
+3. ownership_code	 	1		1		
+
+4. estimate_code		2	      	00	
+
+5. industry_code	 	6		000000
+
+6. ocupational_code	 	6		000000
+
+7. subcell_code	 		2		00
+
+8. datatype_code	 	2		28
+
+9. provision_code	 	3		007
+
+10. survey_code	 		2		IP
+
+11. footnote_codes	 	1		1
+
+12. begin_year	 		4		2010
+
+13. begin_period	 	3		A01
+
+14. end_year	 		4		2019
+
+15. end_period	 		3		A01
+
+
+The series_id (NBU20530000000000033030) can be broken out into:
+
+Code					Value
+survey abbreviation		=	NB
+seasonal(code)			=	U
+ownership_code			=	2
+estimate_code			=	05
+industry_code			=	3000
+occupation_code			=	000000
+subcell_code			=	00
+datatype_code			=	33
+provision_code			=	030
+
+===============================================================================
+Section 5: Data file formats and field definitions
+===============================================================================
+
+The following represents the file format used to define each data file. Note 
+that the field numbers are for reference only; they do not exist in the 
+database. Data files are in ASCII text format. Data elements are separated by 
+tabs. The first record of each file contains the column headers for the data 
+elements stored in each field. Each record ends with a new line character. 
+
+The nb.data file is partitioned into two separate files:  
+ 
+	1. nb.data.1.AllData	- All estimates
+	2. nb.aspect		- All available standard errors
+
+File Name: nb.data.1.Alldata
+Field #/Data Element		Length	    	Value (Example)		
+
+1. series_id			23		NBU20530000000000033030
+
+2. year				4		2010	
+
+3. period	 		3		A01		
+
+4. value			varies	      	95.00	
+
+5. footnote_codes	 	1		1
+
+File Name: nb.aspect
+Field #/Data Element		Length	    	Value(Example)		
+
+1. series_id			23		NBU20000003139000028022
+
+2. year				4		2015	
+
+3. period	 		3		A01	
+
+4. aspect_type			1		E	
+
+5. value			varies	      	2.00	
+
+6. footnote_codes	 	1		1
+
+===============================================================================
+Section 6: Mapping file formats and field definitions
+===============================================================================
+
+The following represents the file format used to define each mapping file. Note 
+that the field numbers are for reference only; they do not exist in the 
+database. Mapping files are in ASCII text format. Data elements are separated 
+by tabs. The first record of each file contains the column headers for the 
+data elements stored in each field. Each record ends with a new line character. 
+	
+File Name: nb.datatype
+Field #/Data Element		Length		Value (Example)
+1. datatype_code		2		20
+2. datatype_text		100		Percent participation
+3. display_level		1		0
+4. selectable			1		T
+5. sort_sequence		2		20
+
+File Name: nb.estimate
+Field #/Data Element		Length		Value (Example)
+1. estimate_code		2		12
+2. estimate_text		100		Nonproduction bonuses
+3. display_level		1		3
+4. selectable			1		T
+5. sort_sequence		2		12
+
+File Name: nb.footnote
+Field #/Data Element		Length		Value (Example)
+1. footnote_code		2		1
+2. footnote_text		100		Less than 0.5
+
+File Name: nb.industry
+Field #/Data Element		Length		Value (Example)
+1. industry_code		6		000000
+2. industry_text		100		All workers
+3. display_level		1		0
+4. selectable			1		T
+5. sort_sequence		2		1
+
+File Name: nb.occupation
+Field #/Data Element		Length		Value (Example)
+1. occupation_code		6		000000
+2. occupation_text		100		All workers
+3. display_level		1		0
+4. selectable			1		T
+5. sort_sequence		2		1
+
+File Name: nb.ownership
+Field #/Data Element		Length		Value (Example)
+1. ownership_code		1		1
+2. ownership_text		100		Civilian workers
+3. display_level		1		0
+4. selectable			1		T
+5. sort_sequence		2		1
+
+File Name: nb.provision
+Field #/Data Element		Length		Value (Example)
+1. provision_code		3		073
+2. provision_text		100		Access to paid holidays					
+3. display_level		1		1
+4. selectable			1		T
+5. sort_sequence		2		2
+
+File Name: nb.seasonal
+Field #/Data Element		Length		Value (Example)		
+1. seasonal_code		1		U		
+2. seasonal_text		30		Not seasonally adjusted 
+							
+File Name: nb.subcell
+Field #/Data Element      	Length      	Value (Example)
+1. subcell_code      		2           	25
+2. subcell_text      		100         	Full time
+3. display_level		1		2
+4. selectable			1		T
+5. sort_sequence		2		31
+
+File Name: nb.survey
+Field #/Data Element      	Length      	Value (Example)
+1. survey_code      		2           	DP
+2. survey_text      		100         	Detailed provision benefits 							
+3. display_level		1		0
+4. selectable			1		T
+5. sort_sequence		2		1
+
+===============================================================================
+Section 7: Data element dictionary
+===============================================================================
+
+Benefits (NB) database elements
+
+Data Element       Length       Value (Example) Description
+
+aspect_type        1            E               Identifies the type 
+                                                additional data provided for
+                                                the series id (Example: E
+                                                represents standard error)                                               
+
+begin_period       3            A01             Data are published annually 
+						and begin_period are
+						designated as A01
+
+begin_year         4            2010            Identifies first year for 
+                                                which data are available for 
+                                                a given series
+
+datatype_code      2            28              Identifies measurement type 
+						    
+datatype_text	   100	        Mean		Describes the datatype code
+						
+display_level	   2	        1		Establishes the element 
+						hierarchy 
+
+end_period         3            A01             Data are published annually 
+						and end_period are designated
+						as A01
+
+end_year           4            2019            Identifies last year for 
+                                                which data are available for 
+                                                a given series
+
+estimate_code      2            12              Identifies the type and unit 
+                                                of measure for the estimate                                                     
+
+estimate_text      100          Nonproduction   Describes the estimate code
+				bonuses         
+						    
+footnote_code      10           1               Identifies footnotes for the
+                                                series or observations
+                                                    
+footnote_text      200          Less than 0.5   Describes the footnote code
+						
+
+industry_code      6            000000          Identifies the industry
+                                                sector for the estimate, as 
+                                                classified by the North  
+                                                American Industry                                                 
+                                                Classification System (NAICS)
+                                                    
+industry_text      100          All industries  Describes the industry code 
+						    
+occupation_code    6            313900          Identifies the occupational
+                                                group, or family of jobs, for
+                                                the estimate as classified                                                              
+                                                by the Standard Occupational 
+                                                Classification (SOC) system
+                                                    
+occupation_text    100          Service         Describes the occupation code 
+				occupations		           
+                             
+ownership_code     1            1               Identifies the economic sector 
+						represented
+						 
+ownership_text     100          Civilian        Describes the ownership code
+				workers		
+
+period             3            A01             Identifies period for the
+						data
+
+provision_code	   3            073             Identifies the benefit 
+						provision code
+
+provision_text	   100	        Access to paid  Describes the benefit limit,
+				holiday		provision, or plan feature 
+				
+seasonal_code      1            U               Seasonality indicator code 
+						    
+seasonal_text      30           Not seasonally  Describes the seasonal code
+			        adjusted	
+
+selectable	   2 	        T		Identifies whether variables
+						are selectable						    		      		
+
+series_id          23           NBU22000001529  Unique code identifying the 
+			        000020S10	specific series                  
+
+sort_sequence 	   5	        45		Denotes the order in which 
+						variables are displayed   	    		
+
+subcell_code       2            28              Job characteristic code 
+						identifying worker and  
+						establishment attributes
+
+subcell_text       100          Full time       Describes the job 
+						characteristic code
+
+survey_code	   2	        DP		Identifies whether series
+					  	is included as part of  
+					  	health and retirement plan
+					  	detailed provisions (DP) or 
+					  	Employee benefits in the 
+					  	U.S. (IP) 
+					  	    
+survey_text	   100	        Detailed 	Describes the survey code
+				provisions	         
+
+value              12           63.00           Value of the estimate or
+						standard error for 
+						corresponding series id
+
+year               4            2017            Identifies year of
+						observation

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bls/nc/README.md

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+# BLS survey `nc`
+
+Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/nc/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics.
+
+Survey documentation: `nc.txt`.
+
+`*_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.
+
+| file | rows | columns |
+|---|---|---|
+| nc.area | 190 | 00, 9957, All United States, 0, T, 1 |
+| nc.baseline | 0 | 2004, M07, +051.61, +005.15 |
+| nc.contacts | 10 | National Compensation Survey Contacts |
+| nc.data.1.AllData | 368675 | series_id, year, period, value, footnote_codes |
+| nc.factor_item | 45 | factor_number, factor_item_number, factor_item_coefficient |
+| nc.level | 17 | level_code, level_name |
+| nc.mogocc | 520 | mogocc_code, mogocc_name |
+| nc.occupation | 519 | 00, 000, Unnamed: 2, All occupations, N, 0, T, 1 |
+| nc.series | 59990 | series_id, state_code, area_code, mog_code, occupation_code, level_code, footnote_codes, begin_year, begin_period, end_year, end_period |
+| nc.starea | 191 | state_code, starea_code, starea_name |
+| nc.state | 55 | state_code, state_name |

bls/nc/nc.txt

@@ -0,0 +1,340 @@
+
+		National Compensation Survey (NC)
+			   nc.txt
+
+Section Listing
+
+1.  Survey Definition
+2.  FTP files listed in the survey directory
+3.  Time series, series file, data file, & mapping file definitions and 
+    relationships.
+4.  Series file format and field definitions
+5.  Data file format and field definitions
+6.  Mapping file formats and field definitions
+7.  Data Element Dictionary
+=======================================================================
+Section 1
+=======================================================================
+
+The following is a definition of: National Compensation Survey (NC)
+
+Survey Description:  The National Compensation Survey (NCS) program 
+produces information on wages by occupation for many metropolitan areas 
+and also for the Nation as a whole.  Wage rates for different work 
+levels within occupation groups also are published.  Data are available 
+for private industry, State and local governments, full-time workers, 
+part-time workers, and other workforce characteristics.
+
+The Bureau of Labor Statistics (BLS) selects a sample of 
+establishments in both the private sector and State and local 
+governments in over 150 metropolitan areas and non-metropolitan 
+counties throughout the United States.  Data are collected from all 
+establishments in a specified area over a period of a few months.  NCS 
+data are used by both private companies and government agencies to help 
+set pay and to compare their wages with those of other employers.  The 
+data are a major component of the pay-setting process for Federal 
+Government employees.  Economic and academic researchers also are 
+interested in the findings.
+ 
+Summary Data Available:  The NCS Wage System presents mean hourly wage 
+data for all workers in an occupation (private industry and State and 
+local government combined).  Currently, data may be obtained for over 
+85 geographical areas.  Future plans include providing data on a 
+National level as well as by the 9 census divisions as they are defined 
+by BLS.
+
+Data Characteristics: Hourly wages are stored to two decimal places.
+
+=======================================================================
+Section 2
+=======================================================================
+
+The following National Compensation Survey files are on the BLS
+internet in the sub-directory pub/time.series/nc:
+
+	nc.area				- area codes	mapping file
+        nc.contacts			- Contacts for NC survey
+        nc.data.1.AllData		- All data
+	nc.mogocc			- mogocc codes	mapping file
+	nc.level			- level codes	mapping file
+	nc.occupation			- occupation codes mapping file
+	nc.series			- All series and their 
+					  beginning and end dates
+	nc.state			- state codes	mapping file
+	nc.starea			- starea codes  mapping file
+	nc.txt				- General information
+
+=======================================================================
+Section 3
+=======================================================================
+
+The definition of a time series, its relationship to and the 
+interrelationship among series, data and mapping files is detailed 
+below:
+
+A time series refers to a set of data observed over an extended period 
+of time over consistent time intervals (i.e. monthly, quarterly, semi-
+annually, annually). BLS time series data are typically produced at 
+monthly intervals and represent data ranging from a specific consumer 
+item in a specific geographical area whose price is gathered monthly to 
+a category of worker in a specific industry whose employment rate is 
+being recorded monthly, etc.
+
+The FTP files are organized such that data users are provided with the 
+following set of files to use in their efforts to interpret data files:
+
+a)  a series file (only one series file per survey)
+b)  mapping files
+c)  data files
+
+The series file contains a set of codes which, together, compose a 
+series identification code that serves to uniquely identify a single 
+time series. Additionally, the series file also contains the following 
+series-level information:
+
+a)  the period and year corresponding to the first data observation 
+b) the period and year corresponding to the most recent data 
+observation. 
+
+The mapping files are definition files that contain explanatory text 
+descriptions that correspond to each of the various codes contained 
+within each series identification code.
+
+The data file contains one line of data for each observation period 
+pertaining to a specific time series.  Each line contains a reference
+to the following:
+
+a) a series identification code
+b) year in which data is observed
+c) period for which data is observed (M13, Q05, and S03 indicate annual 
+averages)
+d) value
+e) footnote code (if available)
+
+
+=======================================================================
+Section 4
+=======================================================================
+
+File Structure and Format: The following represents the file format used 
+to define nc.series.  Note the Field Numbers are for reference only; 
+they do not exist in the database.  Data files are in ASCII text format.  
+Data elements are separated by spaces; the first record of each file 
+contains the column headers for the data elements stored in each field.  
+Each record ends with a new line character. 
+
+Field #/Data Element	Length		Value(Example)		
+
+1.  series_id       	17		NCU0099570000000
+
+2.  state_code      	2 		00		
+
+3.  area_code       	4		9957	
+
+4.  mog_code        	2		00
+
+5.  occupation_code 	3		000
+
+6.  level_code		2		00
+
+7.  footnote_codes  	10		00
+
+8.  begin_year      	4		1997	
+					
+9.  begin_period    	3		M09
+
+10. end_year        	4		2000
+
+11. end_period      	3        	M07
+
+
+The series_id (NCU5306633300003) can be broken out into:
+
+Code					Value
+
+survey abbreviation	=		NC
+seasonal (code)		=		U
+state_code		=		53
+starea_code		=		0663
+mog_code		=		33
+occupation_code		=		000
+level_code		=		03
+
+
+=======================================================================
+Section 5
+=======================================================================
+
+File Structure and Format: The following represents the file format 
+used to define each data file.  Note that the field numbers are for 
+reference only; they do not exist in the database.  Data files are 
+in ASCII text format.  Data elements are separated by spaces; the 
+first record of each file contains the column headers for the data 
+elements stored in each field.  Each record ends with a new line 
+character. 
+
+The nc.data file is partitioned into two separate files: 
+
+	1. nc.data.0.Current	- All current year-to-date data
+	2. nc.data.1.AllData	- All data
+
+
+Both of the above data files have the following format:
+
+Field #/Data Element	Length	    	Value(Example)		
+
+1. series_id		   17		NC
+
+2. year			   4		1999	
+
+3. period		   3		M01		
+
+4. value		  12      	0.238	
+
+5. footnote_codes	  10		It varies
+				
+
+The series_id (NCU5306633300003) can be broken out into:
+
+Code					Value
+
+survey abbreviation	=		NC
+seasonal (code)		=		U
+state_code		=		53
+starea_code		=		0663
+mogocc_code		=		33000
+level_code		=		03
+
+=======================================================================
+Section 6
+=======================================================================
+
+File Structure and Format:  The following represents the file format 
+used to define each mapping file. Note that the field numbers are for 
+reference only; they do not exist in the database.  Mapping files are 
+in ASCII text format.  Data elements are separated by tabs; the first 
+record of each file contains the column headers for the data elements 
+stored in each field.  Each record ends with a new line character. 
+
+File Name:  nc.area
+
+Field #/Data Element		Length		Value(Example)
+
+1. area_code			4		A100
+
+2. area_name			80		Text
+
+
+File Name:  nc.level
+
+Field #/Data Element		Length		Value(Example)
+
+1. level_code			2		02
+
+2. level_text			60		Text
+
+
+File Name:  nc.mogocc
+
+Field #/Data Element		Length		Value(Example)
+
+1. mogocc_code			5		01000
+
+2. occupation_text		60		Text
+
+
+File Name:  nc.period
+
+Field #/Data Element		Length		Value(Example)
+
+1. period			3		M01
+
+2. period_abbr			5		JAN
+
+3. period_name			20		Text
+
+
+File Name:  nc.starea
+
+Field #/Data Element		Length		Value(Example)
+
+1. state_code			2		01
+
+2. area_code			4		0096
+
+3. area_text			60		Text
+
+
+File Name:  nc.state
+
+Field #/Data Element		Length		Value(Example)
+
+1. state_code			2		01
+
+2. state_name			20		Text
+
+=======================================================================
+Section 7
+=======================================================================
+
+National Compensation Survey (NC) DATABASE ELEMENTS
+
+Data Element	Length	   Value(Example)		Description
+
+area_code	   4	   Ex: 0096		 Unique code used to 
+					         identify a specific 
+				  		 geographic area.
+				  		 
+area_name	  80	   Text		         Name for specific area.
+
+area_text	  60	   Text		         Description of area.
+
+
+begin_period	  3	   M02			 Identifies first data observation
+			   Ex: M02=Feb		 within the first year for which
+			   (M=Monthly, M13= 	 data is available for a given time
+			   Annual Avg)		 series.					
+						
+begin_year	  4	   YYYY		         Identifies first year for which
+ 			   Ex:1990		 data is available for a given time
+						 series.
+				
+footnote_codes	  10	   It varies		 Identifies footnotes for the data 
+						 series.	
+			
+level_code	  2	   02			 Level 00 - Level 15  	
+
+level_text	  60	   Text		   	 Level specification 		
+
+mog_code          2	   00			 Major Group code
+
+mogocc_code	  5	   00100 	   	 Major Group / Occupation code
+
+occupation_text	  60	   Text			 Occupation name.
+
+period_abbr	  5	   JAN			 Abbreviation of period name.
+ 					
+period		  3	   M01			 Identifies period for which data 
+ 			   Ex: M01=Jan		 is observed.
+			   (M=Monthly, M13=	
+			   Annual Avg)
+ 				
+period_name	 20	   Text			 Full name of period to which
+ 			   Ex: January		 the data observation refers.
+				
+
+series_id	  17	   Code series		 Code identifying the 
+			   Identifier		 specific series.
+			   Ex: NCU5306633300003
+			   
+state_code	  2	   01			 Code identifying the 
+						 specific series.
+
+state_name	  20	   Text			 State name.
+ 
+value		  12	   Ex: $10.124		 Hourly mean.
+
+year		   4	   YYYY			 Identifies year of	
+			   Ex: 2000		 observation.
+						
+

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bls/nd/README.md

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+# BLS survey `nd`
+
+Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/nd/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics.
+
+Survey documentation: `nd.txt`.
+
+`*_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.
+
+| file | rows | columns |
+|---|---|---|
+| nd.contacts | 5 | For general information and analysis contact the Producer Price Index Section of |
+| nd.data.0.Current | 849353 | series_id, year, period, value, footnote_codes |
+| nd.data.05.ForestryandLogging | 1958 | series_id, year, period, value, footnote_codes |
+| nd.data.1.OilAndGas | 7259 | series_id, year, period, value, footnote_codes |
+| nd.data.10.Wood | 15872 | series_id, year, period, value, footnote_codes |
+| nd.data.11.Paper | 57928 | series_id, year, period, value, footnote_codes |
+| nd.data.12.Printing | 29428 | series_id, year, period, value, footnote_codes |
+| nd.data.13.PetroleumCoalProducts | 15311 | series_id, year, period, value, footnote_codes |
+| nd.data.14.Chemicals | 65532 | series_id, year, period, value, footnote_codes |
+| nd.data.15.PlasticsRubberProducts | 15304 | series_id, year, period, value, footnote_codes |
+| nd.data.16.NonmetallicMineral | 56761 | series_id, year, period, value, footnote_codes |
+| nd.data.17.PrimaryMetal | 65084 | series_id, year, period, value, footnote_codes |
+| nd.data.18.FabricatedMetalProduct | 130427 | series_id, year, period, value, footnote_codes |
+| nd.data.19.Machinery | 162267 | series_id, year, period, value, footnote_codes |
+| nd.data.2.Mining | 42444 | series_id, year, period, value, footnote_codes |
+| nd.data.20.ComputerProduct | 50216 | series_id, year, period, value, footnote_codes |
+| nd.data.21.ElectricalMachinery | 86261 | series_id, year, period, value, footnote_codes |
+| nd.data.22.TransportationEquipment | 40431 | series_id, year, period, value, footnote_codes |
+| nd.data.23.Furniture | 49995 | series_id, year, period, value, footnote_codes |
+| nd.data.24.Miscellaneous | 89011 | series_id, year, period, value, footnote_codes |
+| nd.data.25.MotorVehicleDealers | 2107 | series_id, year, period, value, footnote_codes |
+| nd.data.26.FurnitureStores | 2561 | series_id, year, period, value, footnote_codes |
+| nd.data.27.ElectronicsStores | 5346 | series_id, year, period, value, footnote_codes |
+| nd.data.28.BuildingGardenStores | 4424 | series_id, year, period, value, footnote_codes |
+| nd.data.29.FoodBeverageStores | 4174 | series_id, year, period, value, footnote_codes |
+| nd.data.3.MiningSupport | 7482 | series_id, year, period, value, footnote_codes |
+| nd.data.30.HealthStores | 4768 | series_id, year, period, value, footnote_codes |
+| nd.data.31.GasolineStations | 3440 | series_id, year, period, value, footnote_codes |
+| nd.data.32.ClothingStores | 6928 | series_id, year, period, value, footnote_codes |
+| nd.data.33.SportsMusicStores | 6089 | series_id, year, period, value, footnote_codes |
+| nd.data.34.GeneralStores | 5097 | series_id, year, period, value, footnote_codes |
+| nd.data.35.NonstoreRetailers | 3769 | series_id, year, period, value, footnote_codes |
+| nd.data.36.AirTransportation | 768 | series_id, year, period, value, footnote_codes |
+| nd.data.37.RailTransportation | 7069 | series_id, year, period, value, footnote_codes |
+| nd.data.38.WaterTransportation | 361 | series_id, year, period, value, footnote_codes |
+| nd.data.39.TruckTransportation | 921 | series_id, year, period, value, footnote_codes |
+| nd.data.4.Food | 109574 | series_id, year, period, value, footnote_codes |
+| nd.data.40.PipelineTransportation | 358 | series_id, year, period, value, footnote_codes |
+| nd.data.42.TransportationSupport | 4870 | series_id, year, period, value, footnote_codes |
+| nd.data.43.PostalService | 14471 | series_id, year, period, value, footnote_codes |
+| nd.data.44.CouriersAndMessengers | 116 | series_id, year, period, value, footnote_codes |
+| nd.data.45.WarehousingStorage | 1655 | series_id, year, period, value, footnote_codes |
+| nd.data.46.Utilities | 506 | series_id, year, period, value, footnote_codes |
+| nd.data.47.AmbulatoryHealthCareServices | 102 | series_id, year, period, value, footnote_codes |
+| nd.data.5.BeverageTobacco | 20709 | series_id, year, period, value, footnote_codes |
+| nd.data.50.Hospitals | 13310 | series_id, year, period, value, footnote_codes |
+| nd.data.51.NursingResidentialCareFacil | 0 | series_id, year, period, value, footnote_codes |
+| nd.data.53.Publishing | 36258 | series_id, year, period, value, footnote_codes |
+| nd.data.54.Broadcasting | 9738 | series_id, year, period, value, footnote_codes |
+| nd.data.55.Telecommunications | 16578 | series_id, year, period, value, footnote_codes |
+| nd.data.56.ISPsSearchPortandDataProcess | 1132 | series_id, year, period, value, footnote_codes |
+| nd.data.57.Finance | 10571 | series_id, year, period, value, footnote_codes |
+| nd.data.58.InsuranceCarriers | 2971 | series_id, year, period, value, footnote_codes |
+| nd.data.59.RealEstate | 911 | series_id, year, period, value, footnote_codes |
+| nd.data.6.Textile | 43356 | series_id, year, period, value, footnote_codes |
+| nd.data.61.EducationalService | 686 | series_id, year, period, value, footnote_codes |
+| nd.data.62.RentalandLeasingServices | 1297 | series_id, year, period, value, footnote_codes |
+| nd.data.63.ProfessionalandTechnicalServ | 5187 | series_id, year, period, value, footnote_codes |
+| nd.data.67.AdministrativeandSupportServ | 4559 | series_id, year, period, value, footnote_codes |
+| nd.data.7.TextileProduct | 25958 | series_id, year, period, value, footnote_codes |
+| nd.data.70.WasteMgtandRemediationServ | 0 | series_id, year, period, value, footnote_codes |
+| nd.data.71.Accommodation | 364 | series_id, year, period, value, footnote_codes |
+| nd.data.72.RecyclableMaterials | 16389 | series_id, year, period, value, footnote_codes |
+| nd.data.73.MiscellaneousStoreRetailers | 4561 | series_id, year, period, value, footnote_codes |
+| nd.data.74.PremiumsforPropandCasualtyIns | 1764 | series_id, year, period, value, footnote_codes |
+| nd.data.75.Construction | 4022 | series_id, year, period, value, footnote_codes |
+| nd.data.76.WholesaleTrade | 24021 | series_id, year, period, value, footnote_codes |
+| nd.data.77.Recreation | 0 | series_id, year, period, value, footnote_codes |
+| nd.data.8.Apparel | 97248 | series_id, year, period, value, footnote_codes |
+| nd.data.81.OtherServices | 162 | series_id, year, period, value, footnote_codes |
+| nd.data.9.Leather | 28743 | series_id, year, period, value, footnote_codes |
+| nd.footnote | 1 | footnote_code, footnote_text |
+| nd.industry | 851 | industry_code, industry_name |
+| nd.product | 6509 | industry_code, product_code, product_name |
+| nd.seasonal | 2 | seasonal_code, seasonal_text |
+| nd.series | 6509 | series_id, industry_code, product_code, seasonal, base_date, series_title, footnote_codes, begin_year, begin_period, end_year, end_period |

bls/nd/nd.txt

@@ -0,0 +1,385 @@
+			Producer Price Index (ND)
+				nd.txt
+
+Section Listing
+
+1. Survey definition
+2. Files listed in the survey directory.
+3. Time series, series file, data file, and mapping file definitions and relationships
+4. Series file format and field definitions
+5. Data file format and field definitions
+6. Mapping file formats and field definitions
+7. Data element dictionary
+================================================================================
+Section 1
+================================================================================
+
+The following is a definition of:  PRODUCER PRICE INDEX REVISION-DISCONTINUED SERIES (ND)
+
+Survey Description:  The Producer Price Index Revision-Current Series indexes reflect
+price movements for the net output of producers organized according to the 
+North American Industry Classification System (NAICS).  The ND dataset is compatible 
+with a wide assortment of NAICS-based economic time series including:  productivity, 
+production, employment, wages, and earnings.  
+
+The PPI universe consists of the output of all industries in the goods-producing 
+sectors of the U.S. economy- mining, manufacturing, agriculture, fishing, and 
+forestry- as well as natural gas, electricity, construction, and goods competitive
+with those made in the producing sectors, such as waste and scrap materials. In
+addition, as of January 2011, the PPI program covered more than three-quarters of the
+service sector's output, publishing data for selected industries in the following 
+industry sectors: wholesale and retail trade; transportation and warehousing;
+information; finance and insurance; real estate brokering, rental, and leasing; 
+professional, scientific, and technical services; administrative, support, and waste 
+management services; health care and social assistance; and accommodation.
+
+To the extent possible, prices used in constructing the indexes are the 
+actual revenue or net transaction prices producers receive for sales of
+their outputs.  Scientific (probability) sampling techniques are 
+used to select reporting establishments, products, and transactions for all
+types and volumes of output (not just volume-sellers).
+
+Coverage includes roughly 500 mining and manufacturing industries and approximately 
+150 services industries.  The PPI is meant to measure changes in prices
+received by domestic producers, import products are not priced in the survey. 
+
+BLS collects over 100,000 price quotations each month covering over 600 industries
+and over 6,000 products and product categories.
+
+Frequency of Observations:  Monthly in most cases.
+
+Annual Averages:  Annual averages are available.
+
+Data Characteristics:  All indexes through June 2021 are stored with one decimal 
+place. Indexes after June 2021 are stored with three decimal places.
+
+Updating Schedule:  With the release of July 2004 indexes, the PPI produced a 
+separate dataset for discontinued NAICS-based indexes.  PPI indexes currently 
+in estimation and classified under NAICS reside in the ND dataset.  
+
+
+References:	BLS Handbook of Methods, Chapter 14, "Producer Prices", 
+		Online at https://www.bls.gov/opub/hom/pdf/homch14.pdf
+
+==================================================================================
+Section 2
+==================================================================================
+
+The following Producer Price Index files are on the BLS internet in the 
+sub-directory pub/time.series/nd:
+
+       	
+nd.data.0.Current-Most recent data available for all discontinued indexes 
+nd.data.01.Aggregates- Select cross-industry combinations
+nd.data.05.ForestryandLogging- (subsector 113)Forestry and logging
+nd.data.1.OilAndGas- (subsector 211)Oil and gas extraction
+nd.data.2.Mining- (subsector 212)Mining (except oil and gas)
+nd.data.3.MiningSupport- (subsector 213)Support activities for mining
+nd.data.4.Food- (subsector 311)Food manufacturing
+nd.data.5.BeverageTobacco- (subsector 312)Beverage and tobacco product mfg
+nd.data.6.Textile- (subsector 313)Textile mills 
+nd.data.7.TextileProduct- (subsector 314)Textile product mills
+nd.data.8.Apparel- (subsector 315)Apparel manufacturing
+nd.data.9.Leather- (subsector 316)Leather and allied product manufacturing
+nd.data.10.Wood- (subsector 321)Wood product manufacturing
+nd.data.11.Paper- (subsector 322)Paper manufacturing
+nd.data.12.Printing- (subsector 323)Printing and related support activities
+nd.data.13.PetroleumCoalProducts- (subsector 324)Petroleum and coal products mfg
+nd.data.14.Chemicals- (subsector 325)Chemical manufacturing 
+nd.data.15.PlasticsRubberProducts- (subsector 326)Plastics and rubber products mfg
+nd.data.16.NonmetallicMineral- (subsector 327)Nonmetallic mineral product mfg
+nd.data.17.PrimaryMetal- (subsector 331)Primary metal manufacturing 
+nd.data.18.FabricatedMetalProduct- (subsector 332)Fabricated metal product mfg
+nd.data.19.Machinery- (subsector 333)Machinery manufacturing
+nd.data.20.ComputerProduct- (subsector 334)Computer and electronic product mfg 
+nd.data.21.ElectricalMachinery- (subsector 335)Electrical equip, appliance, and
+	component mfg
+nd.data.22.TransportationEquipment- (subsector 336)Transportation equipment mfg
+nd.data.23.Furniture- (subsector 337)Furniture and related product mfg
+nd.data.24.Miscellaneous- (subsector 339)Miscellaneous manufacturing 
+nd.data.25.MotorVehicleDealers- (subsector 441) Motor vehicle and parts dealers
+nd.data.26.FurnitureStores- (subsector 442)Furniture and home furnishings stores
+nd.data.27.ElectronicsStores- (subsector 443)Electronics and appliance stores
+nd.data.28.BuildingGardenStores- (subsector 444)Building material and garden
+	equipment and supplies dealers
+nd.data.29.FoodBeverageStores- (subsector 445)Food and beverage stores
+nd.data.30.HealthStores- (subsector 446)Health and personal care stores
+nd.data.31.GasolineStations- (subsector 447)Gasoline stations
+nd.data.32.ClothingStores- (subsector 448)Clothing and clothing accessories stores
+nd.data.33.SportsMusicStores- (subsector 451)Sporting goods, hobby, book, and music
+	stores
+nd.data.34.GeneralStores- (subsector 452)General merchandise stores
+nd.data.35.NonstoreRetailers- (subsector 454)Nonstore retailers
+nd.data.36.AirTransportation- (subsector 481)Air transportation
+nd.data.37.RailTransportation- (subsector 482)Rail transportation
+nd.data.38.WaterTransportation- (subsector 483)Water transportation
+nd.data.39.TruckTransportation- (subsector 484)Truck transportation
+nd.data.40.PipelineTransportation- (subsector 486)Pipeline transportation
+nd.data.42.TransportationSupport- (subsector 488)Support activites for transportation
+nd.data.43.PostalService- (subsector 491)Postal service
+nd.data.44.CouriersAndMessengers- (subsector 492)Couriers and messengers	
+nd.data.45.WarehousingStorage- (subsector 493)Warehousing and storage
+nd.data.46.Utilities- (subsector 221)Utilities
+nd.data.47.AmbulatoryHealthCareServices- (subsector 621)Ambulatory health care
+	services
+nd.data.50.Hospitals- (subsector 622)Hospitals
+nd.data.51.NursingResidentialCareFacil- (subsector 623)Nursing and residential care
+	facilities
+nd.data.53.Publishing- (subsector 511)Publishing industries (except internet)
+nd.data.54.Broadcasting- (subsector 515)Broadcasting (except internet)
+nd.data.55.Telecommunications- (subsector 517)Telecommunications
+nd.data.56.ISPsSearchPortandDataProcess- (subsector 518)Internet search providers,
+	web search portals, and data processing services
+nd.data.57.Finance- (subsector 523)Securities, commodity contracts, and other
+	financial investements and related activities
+nd.data.58.InsuranceCarriers- (subsector 524)Insurance carriers and related activities
+nd.data.59.RealEstate- (subsector 531)Real estate
+nd.data.62.RentalandLeasingServices- (subsector 532)Rental and leasing services
+nd.data.63.ProfessionalandTechnicalServ- (subsector 541)Professional, scientific,
+	and technical services
+nd.data.67.AdministrativeandSupportServ- (subsector 561)Administrative and support
+	services
+nd.data.70.WasteMgtandRemediationServ- (subsector 562)Waste management and 
+	remediation services
+nd.data.71.Accommodation- (subsector 721)Accommodation
+nd.data.72.RecyclableMaterials- (industry 423930)Recyclable materials wholesalers
+nd.data.73.MiscellaneousStoreRetailers- (subsector 453)Miscellaneous store retailers
+nd.data.74.PremiumsforPropandCasualtyIns- (code 924126) Premiums for property and 
+	casualty insurance
+nd.data.75.Construction- (sector 23)Construction and material inputs to contstruction
+nd.data.76.WholesaleTrade- (sector 42)Wholesale trade
+nd.data.77.Recreation- (subsector 713)Amusement and recreation industries
+nd.contacts- Contacts for nd survey 
+nd.footnote- Footnote codes key
+nd.industry- Industry titles for nd industry codes
+nd.period- Period abbreviation key
+nd.product- Industry and product titles to nd codes
+nd.series- List of all series codes, titles, and their beginning and end dates
+nd.txt- General information
+
+=================================================================================
+Section 3
+=================================================================================
+The time series, series file, data file, and mapping file definitions and relationships
+are detailed below:
+
+A time series refers to a set of data observed over an extended period of time
+over consistent time intervals (i.e. monthly, quarterly, semi-annually, annually).  
+BLS time series data are typically produced at monthly intervals and represent data 
+ranging from a specific consumer item in a specific geographical area whose price 
+is gathered monthly to a category of worker in a specific industry whose employment
+rate is being recorded monthly, etc.
+
+The files are organized such that data users are provided with the following
+set of files to use in their efforts to interpret data files:
+
+a)  a series file (only one series file per survey)
+b)  mapping files
+c)  data files
+
+The series file contains a set of codes which, together, compose a series 
+identification code that serves to uniquely identify a single time series.  
+Additionally, the series file also contains the following series-level information:
+
+a) the period and year corresponding to the first data observation 
+b) the period and year corresponding to the most recent data observation. 
+
+The mapping files are definition files that contain explanatory text descriptions
+that correspond to each of the various codes contained within each series
+identification code.
+
+The data file contains one line of data for each observation period pertaining to a
+specific time series.  Each line contains a reference to the following:
+
+a) a series identification code
+b) year in which data is observed
+c) period for which data is observed (M13, Q05, and S03 indicate annual averages)
+d) value
+e) footnote code (if available)
+=================================================================================
+Section 4
+=================================================================================
+File Structure and Format: The following represents the file format used to define 
+nd.series.  Note that the Field Numbers are for reference only; they do not exist 
+in the database.  Data files are in ASCII text format.  Data elements are separated 
+by spaces; the first record of each file contains the column headers for the data
+elements stored in each field.  Each record ends with a new line character. 
+
+Field #/Data Element	Length		Value(Example)		
+
+1.  series_id		 30		NDU1133101133105
+
+2.  industry_code	  6		113310
+
+3.  product_code	 15		1133105
+
+4.  seasonal		  1		U		
+						
+5.  base_date		  6  		198112
+					
+6.  series_title        256             PPI industry data for Logging-Pulpwood, not seasonally adjusted, discontinued
+
+7.  begin_year		  4		1981
+
+8.  begin_period	  3		M12		
+				
+9.  end_year		  4		1991
+		
+10.  end_period		  3		M05		
+					
+The series_id (NDU11330011330041300) can be broken out into:
+
+Code					Value
+
+survey abbreviation	=		ND
+seasonal (code) 	=		U
+industry_code		=		113310
+product_code		=		1133105
+==================================================================================
+Section 5
+==================================================================================
+File Structure and Format: The following represents the file format used to define
+each data file.  Note that the field numbers are for reference only; they do not 
+exist in the database.  Data files are in ASCII text format.  Data elements are 
+separated by spaces; the first record of each file contains the column headers for 
+the data elements stored in each field.  Each record ends with a new line character.  
+
+The nd.data file is partitioned into a number of separate files:  See Section 2
+
+The above-referenced data files have the following format:
+
+Field #/Data Element	Length		Value(Example)		
+
+1. series_id		  30		NDU11330011330041300
+
+2. year			   4		1994	
+
+3. period		   3		M01		
+
+4. value		  12      	82.0	 	
+				 
+5. footnote_codes	  10		It varies
+				
+
+The series_id (NDU11330011330041300) can be broken out into:
+
+Code					Value
+
+survey abbreviation	=		ND
+seasonal (code) 	=		U
+industry_code		=		113310
+product_code		=		1133105
+================================================================================
+Section 6
+================================================================================
+File Structure and Format:  The following represents the file format used to define
+each mapping file. Note that the field numbers are for reference only; they do not
+exist in the database.  Mapping files are in ASCII text format.  Data elements are
+separated by tabs; the first record of each file contains the column headers for the
+data elements stored in each field.  Each record ends with a new line character. 
+
+File Name:  nd.footnote
+
+Field #/Data Element		Length		Value(Example)
+
+1. footnote_code		2		P
+
+2. footnote_text		200		Text
+
+
+File Name:  nd.industry
+
+Field #/Data Element		Length		Value(Example)
+
+1.  industry_code		6		113300
+
+2.  industry_name		100		Text
+
+
+File Name:  nd.product
+
+Field #/Data Element		Length		Value(Example)
+
+1.  industry_code		6		113300
+
+2.  product_code		15		11330041300
+						
+3.  product_name		100		Text
+
+=========================================================================================
+Section 7
+=========================================================================================
+PRODUCER PRICE INDEX REVISION (ND) DATABASE ELEMENTS
+
+
+Data Element	Length	        Value(Example)			Description
+
+begin_period	3		M01-M13			Identifies first data observation
+				Ex: MO6=June 		within the first year for which 
+				(M=Monthly, M13=Annual	data is available for a given
+				Avg)			time series.
+
+begin_year	4		YYYY			Identifies first year for which 
+				Ex: 1975	  	data is available for a given 
+							time series.
+
+base_date	6		YYYYMM			The base year used in
+				Ex: 198412 (year=1984,	calculating the index.
+				month=12,i.e. December)	
+
+end_period	3		M01-M13			Identifies last data observation
+				Ex: M06=June		within the last year for which
+				(M=Monthly, M13=Annual	data is available for a given 
+				Avg)			time series.
+				
+end_year	4		YYYY			Identifies last year for which 
+				Ex: 1980		data is available for a given
+							time series.
+
+footnote_code	2		P			Identifies footnote for the data 
+							series.
+
+footnote_codes	10		It varies		Identifies footnotes for the data 
+							series.	
+
+footnote_text	200		Text			Contains the text of the footnote.
+
+industry_code	6		113300			NAICS code for the industry.
+
+industry_name	100		Text			Name of the industry.
+				Ex: Natural and
+				processed cheese
+
+period_abbr	5		Period name 		Abbreviation of period name.
+				abbreviation
+				Ex: JUN
+
+period		3		M01-M13			Identifies period for which
+				Ex: M06=June		data is observed.
+				(M=Monthly, M13=Annual	
+				Avg)	
+				
+
+period name	20		Text			 Full name of period to which
+				Ex: June		 the data observation refers.
+					
+product_code	15		Ex: 11330041300		 Code identifying the product 
+							 to which the data 
+							 observation refers.
+					
+product_name	100		Text			 Name of the product to which
+				Ex: cheddar cheese	 the data observation refers.
+
+seasonal	1		S=Seasonally		 Code identifying whether the
+				Adjusted		 data are seasonally adjusted.
+				U=Unadjusted  		
+
+series_id	30		Code series identifier	 Code identifying the specific 
+				Ex:NDU11330011330041300	 series.
+
+value		12		Index			 Price index for item.
+				Ex: 82.0
+
+year		4		YYYY			 Identifies year of observation.
+				Ex: 1990		
+			

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