Add BLS batch w2

bls/cs/README.md

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+# BLS survey `cs`
+
+Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/cs/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics.
+
+Survey documentation: `cs.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 |
+|---|---|---|
+| cs.age | 90 | age_code, age_text |
+| cs.case | 14 | case_code, case_text |
+| cs.category | 2356 | case_code, category_code, category_text, display_level, selectable, sort_sequence |
+| cs.contacts | 40 | Safety, Health, and Working Conditions Contacts: Injuries, Illnesses, and Fatalities (IIF) Program |
+| cs.data.1.AllData | 144399943 | series_id, year, period, value, footnote_codes |
+| cs.datatype | 3 | datatype_code, datatype_text |
+| cs.event | 492 | event_code, event_text, display_level, selectable, sort_sequence |
+| cs.footnote | 1 | footnote_code, footnote_text |
+| cs.gender | 4 | gender_code, gender_text |
+| cs.hour | 12 | hour_code, hour_text |
+| cs.industry | 1402 | industry_code, industry_text, display_level, selectable, sort_sequence |
+| cs.los | 6 | los_code, los_text |
+| cs.nature | 436 | nature_code, nature_text, display_level, selectable, sort_sequence |
+| cs.occupation | 1481 | occupation_code, occupation_text, display_level, selectable, sort_sequence |
+| cs.ownership | 5 | ownership_code, ownership_name |
+| cs.pob | 190 | pob_code, pob_text, display_level, selectable, sort_sequence |
+| cs.race | 10 | race_code, race_text |
+| cs.series | 28960743 | series_id, seasonal, 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, time_code, hour_code, weekday_code, special_code, ownership_code, state_code, footnote_codes, begin_year, begin_period, end_year, end_period |
+| cs.source | 1504 | source_code, source_text, display_level, selectable, sort_sequence |
+| cs.special | 2 | special_code, special_text |
+| cs.state | 47 | state_code, state_name, display_level, selectable, sort_sequence |
+| cs.time | 8 | time_code, time_text |
+| cs.weekday | 8 | weekday_code, weekday_text |

bls/cs/cs.txt

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+	Occupational Injuries and Illnesses - Characteristics Data (cs)
+				cs.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:  Occupational Injuries and Illnesses - 
+characteristics data (cs)
+
+Survey Description:  Besides injury and illness counts, survey respondents 
+also are asked to provide additional information for a subset of the most 
+serious nonfatal cases logged, namely, those that involved at least 1 day 
+away from work, beyond the day of injury or onset of illness. Employers 
+answer several questions about these cases, including the demographics of 
+the worker disabled, the nature of the disabling condition, and the event 
+and source producing that condition. 
+
+Summary Data Available: Detailed breakouts of injury and illness data by
+a variety of characteristics, including age, category, event, gender,
+industry, length of service, nature, occupation, part of body, race, and
+source are available.
+
+Frequency of Observations: Annual data are available.
+
+Data Characteristics:  Data are reported to one decimal place.
+
+Updating Schedule: OSHS Characteristics data are published annually.
+
+========================================================================
+Section 2
+========================================================================
+
+The following Occupational Injuries and Illnesses - characteristics data 
+files are on the BLS internet in the sub-directory pub/time.series/cs:
+
+	
+	cs.age				- Age codes (mapping file)
+	cs.case				- Case codes (mapping file)
+	cs.category			- Category codes (mapping file)
+	cs.contacts			- Contacts for cs survey 
+	cs.data.0.Current		- All current year-to-date data
+	cs.data.1.AllData		- All data
+	cs.datatype			- Datatype codes (mapping file)
+	cs.event			- Event codes (mapping file)
+	cs.footnote			- Footnote codes (mapping file)
+	cs.gender			- Gender codes (mapping file)
+	cs.hour				- Hour codes (mapping file)
+	cs.industry			- Industry codes (mapping file)
+	cs.los				- LOS codes (mapping file)
+	cs.nature			- Nature codes (mapping file)
+	cs.occupation			- Occupation codes (mapping file)
+	cs.ownership			- Ownership codes (mapping file)
+	cs.pob				- POB codes (mapping file)
+	cs.race				- Race codes (mapping file)
+	cs.series			- All series with beginning and end dates
+	cs.source			- Source codes (mapping file)
+	cs.special			- Special codes (mapping file)
+	cs.state			- State codes (mapping file)
+	cs.time				- Time codes (mapping file)
+	cs.txt				- General information
+	cs.weekday			- Weekday codes (mapping file)
+	
+============================================================================
+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 
+geographic 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)  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 cs.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		csU00X11XXXX3E100
+
+2.  category_code		   3		00X
+
+3.  datatype_code		   1		3
+
+4.  case_code		   	   1		E
+
+5.  age_code			   6		00XXXX
+
+6.  los_code			   6		0XXXXX
+
+7.  race_code			   6		0XXXXX
+
+8.  gender_code			   6		0XXXXX
+
+9.  pob_code			   6		0XXXXX
+
+10. event_code			   6		0000XX
+
+11. source_code			   6		0000XX
+
+12. occupation_code		   6		000000
+
+13. nature_code			   6		0000XX
+
+14. industry_code		   6		000000
+
+15. time_code			   6		000000
+
+16. hour_code			   6		000000
+
+17. weekday_code		   6		000000
+
+18. special_code		   6		000000
+
+19. ownership_code		   1		1
+
+20. state_code			   2		00
+
+21. footnote_codes		  10		It varies
+
+22. begin_year			   4		2011
+
+23. begin_period		   3		A01
+
+24. end_year			   4		2013
+
+25. end_period			   3		A01
+
+The series_id (csU00X00XXXX3E100) can be broken out into:
+
+Code				=			Value
+
+survey abbreviation		=			cs
+seasonal adjustment code	=			U
+category code			=			00X
+detail code			=			00XXXX
+datatype code			=			3
+case code			=			E
+ownership code			=			1
+state code			=			00
+
+============================================================================
+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 cs.data file is partitioned into two separate files:
+
+	1.  cs.data.0.Current	= All current year-to-date data
+	2.  cs.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		csU00X00XXXX3E100
+
+2.  year			   4		2011
+
+3.  period			   3		A01
+
+4.  value			  12		10.2
+
+5.  footnote_codes		  10		It varies
+
+The series_id (csU00X00XXXX3E100) can be broken out into:
+
+Code				=			Value
+
+survey abbreviation		=			cs
+seasonal adjustment code	=			U
+category code			=			00X
+detail code			=			00XXXX
+datatype code			=			3
+case code			=			E
+ownership code			=			1
+state code			=			00
+
+============================================================================
+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:  cs.age
+
+Field #/Data Element		Length			Value(Example)
+
+1.  age_code			   6			000000
+
+2.  age_text			 100			Text
+
+
+File Name:  cs.case
+
+Field #/Data Element		Length			Value(Example)
+
+1.  case_code		   	   1			E 
+
+2.  case_text		 	 100			Text
+
+
+File Name:  cs.category
+
+Field #/Data Element		Length			Value(Example)
+
+1.  case_code			   1			3
+
+2.  category_code		   3			00X
+
+3.  category_text		 100			Text
+
+
+File Name:  cs.datatype
+
+Field #/Data Element		Length			Value(Example)
+
+1.  datatype_code		   1			3
+
+2.  datatype_text		 100			Text
+
+
+File Name:  cs.event 
+
+Field #/Data Element		Length			Value(Example)
+
+1.  event_code			   6			00XXXX
+
+2.  event_text			 100			Text
+
+
+File Name:  cs.footnote
+
+Field #/Data Element		Length		Value(Example)
+
+1. footnote_code		1		P
+
+2. footnote_text		100		Text
+
+
+File Name:  cs.gender
+
+Field #/Data Element		Length			Value(Example)
+
+1.  gender_code			   6			000000
+
+2.  gender_text			 100			Text
+
+
+File Name:  cs.hour
+
+Field #/Data Element		Length			Value(Example)
+
+1.  hour_code			   6			000000
+
+2.  hour_text			 100			Text
+
+
+File Name:  cs.industry
+
+Field #/Data Element		Length			Value(Example)
+
+1.  industry_code		   6			000000
+
+2.  industry_text		 100			Text
+
+
+File Name:  cs.los
+
+Field #/Data Element		Length			Value(Example)
+
+1.  los_code			   6			000000
+
+2.  los_text			 100			Text
+
+
+File Name:  cs.nature
+
+Field #/Data Element		Length			Value(Example)
+
+1.  nature_code			   6			0XXXXX
+
+2.  nature_text			 100			Text
+
+
+File Name:  cs.occupation
+
+Field #/Data Element		Length			Value(Example)
+
+1.  occupation_code		   6			000000
+
+2.  occupation_text		 100			Text
+
+
+File Name:  cs.ownership
+
+Field #/Data Element		Length			Value(Example)
+
+1.  ownership_code		   1			1
+
+2.  ownership_text		 100			Text
+
+
+File Name:  cs.pob
+
+Field #/Data Element		Length			Value(Example)
+
+1.  pob_code			   6			0XXXXX
+
+2.  pob_text			 100			Text
+
+
+File Name:  cs.race
+
+Field #/Data Element		Length			Value(Example)
+
+1.  race_code			   6			000000
+
+2.  race_text			 100			Text
+
+
+File Name:  cs.source
+
+Field #/Data Element		Length			Value(Example)
+
+1.  source_code			   6			0XXXXX
+
+2.  source_text			 100			Text
+
+
+File Name:  cs.special
+
+Field #/Data Element		Length			Value(Example)
+
+1.  special_code		   6			000000
+
+2.  special_text		 100			Text
+
+
+File Name:  cs.state
+
+Field #/Data Element		Length			Value(Example)
+
+1.  state_code			   2			00
+
+2.  state_name			 100			Text
+
+
+File Name:  cs.time
+
+Field #/Data Element		Length			Value(Example)
+
+1.  time_code			   6			000000
+
+2.  time_text			 100			Text
+
+
+File Name:  cs.weekday
+
+Field #/Data Element		Length			Value(Example)
+
+1.  weekday_code		   6			000000
+
+2.  weekday_text		 100			Text
+
+============================================================================
+Section 7
+============================================================================
+
+OCCUPATIONAL INJURIES AND ILLNESSES--CHARACTERISTICS DATA (cs) DATABASE 
+ELEMENTS
+
+Data Element		Length	Value(Example)		   Description
+
+age_code		  6	000000	   	   Code identifying age of
+						   subjects for which data
+						   are observed.
+
+age_text		100	Text		   Identifies age of subjects
+				Ex: 20-24	   for which data are 
+						   observed.	
+
+begin_period	   	  3	A01		   Identifies first data
+				Ex: A01=2011	   observation within the
+						   first year for which data
+						   are available for a given
+						   time series.
+
+begin_year		  4	2011		   Identifies first year for 
+					   	   which data are available
+						   for a given time series.
+
+case_code	   	  1	A		   Code identifying type of
+				Ex: A=Industry	   case for which data are
+				division or 	   available for a given time
+				selected 
+				charteristics	
+				by age.
+				
+case_text	   	100	Text		   Describes case.
+
+category_code		  3	00X		   Code identifying industry, 
+						   event, or characteristic 
+						   for which data are 
+						   available for a given time 
+						   series.
+
+category_text	 	100	Text	   	   Names the industry, event,
+				Ex: MIN=Mining,	   or characteristic for
+				N1A=Fractures	   which data are available
+						   for a given time series.
+
+datatype_code	   	  1	3		   Code identifying the 
+						   datatype of the 
+						   observation.
+
+datatype_text		100	Text		   Identifies the datatype for
+						   any given time series.
+
+end_period	   	  3	A01		   Identifies last data
+						   observation within the 
+						   last year for which data
+						   are available for a given
+						   time series.
+
+end_year		  4	2011		   Identifies last year for
+						   which data are available
+						   for a given time series.
+
+event_code		  6	00XXXX		   Code identifying the event
+						   which resulted in the 
+						   reported injury or 
+						   illness.
+
+event_text		100	Text	   	   Names the event which 
+				Ex: Falls, slips,  resulted in the reported
+				trips		   injury or illness.
+
+footnote_code		 10	It varies	   Identifies footnote for 
+						   the data series.
+
+gender_code	   	  6	000000		   Code identifying gender of
+						   person experiencing the
+						   injury or illness.
+
+gender_text	 	 100	Text	   	   Names gender of person 
+				Ex: Male	   experiencing the injury or
+						   illness.
+
+hour_code		   6	000000		   Code identifying the total 
+						   hours worked before injury
+						   or illness.
+
+hour_text		 100	Text		   Number of hours worked before
+				Ex. 1 - 2 hours	   injury or illness occurred.
+
+industry_code		   6	000000		   Code identifying the
+						   industry for which data
+						   are observed.
+
+industry_text	 	 100	Text 		   Names the industry for
+				Ex: Construction   which data are observed.
+
+los_code		   6	000000		   Code identifying the 
+						   length of service of the
+						   person experiencing the
+						   injury or illness.
+
+los_text		 100	Text	           Names the length of 
+				Ex: 1-5 years	   service of the person 
+						   experiencing the injury or
+						   illness.
+
+nature_code	   	   6	0XXXXX		   Code identifying the 
+						   nature of the injury or
+						   illness.
+
+nature_text	 	 100	Text		   Names the nature of the
+				Ex: Fractures      injury or illness.
+
+occupation_code		   6	000000		   Code identifying the 
+						   occupation of the person
+						   experiencing the injury or
+						   illness.
+
+occupation_text		 100	Text	    	   Names the occupation of
+				Ex: Roofers	   the person experiencing 
+						   the injury or illness.
+
+ownership_code		   1	1		   Code identifying the 
+						   ownership type.
+
+ownership_name		 100	Text		   Names the type of ownership
+				Ex. Detailed	   of employer. 
+				Private Industry 
+
+period		   	   3	A01		   Identifies period for which data 
+ 				Ex: A01=2002	   is observed.
+
+pob_code		   6	0XXXXX		   Code identifying the part
+						   of body affected.
+
+pob_text		 100	Text	   	   Names the part of body 
+				Ex: Knee(s)	   affected.
+
+race_code		   6	000000		   Code identifying the race 
+						   of the person experiencing
+						   the injury or illness.
+
+race_text		 100	Text	   	   Names the race of the 
+				Ex: Hispanic	   person experiencing the
+						   injury or illness.
+
+series_id		  17	csU00X00XXXX3E100  Unique series identifier
+
+source_code	 	  6	0XXXXX		   Code identifying the 
+						   source of the injury or 
+						   illness.
+
+source_text	 	100	Text	   	   Names the source of the
+				Ex: Band saws      injury or illness.
+
+special_code		  6	000000		   Code identifying specific 
+						   injury or illness.
+
+special_text		100	Text		   Name of specific injury or
+				Ex. Musculoskeletal illness.
+				disorders
+
+state_code		  2	00		   Code identifying each state.
+
+state_name		100	Text		   Names of specific state where
+				Ex. Arizona	   injury or illness occurred.
+
+time_code		  6	000000		   Code identifying the time
+					 	   of the day injury or illness 
+						   occurred.
+
+time_text		100	Text		   Time of the day when injury or  
+				Ex. 12:01AM-4:00AM illness occurred.
+
+value			12	2360		   Observation for the series.
+
+weekday_code		  6	000000		   Code identifying the day of
+						   the week the injury or illness
+						   occurred.
+
+weekday_text		100	Text		   Day of the week the injury or
+				Ex. Sunday	   illness occurred.	
+	    
+year			4	2011		   Identifies year of observation.        	
+				

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+# BLS survey `cu`
+
+Source: U.S. Bureau of Labor Statistics, LABSTAT time-series database (https://download.bls.gov/pub/time.series/cu/). Public domain U.S. government data. Credit: U.S. Bureau of Labor Statistics.
+
+Survey documentation: `cu.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 |
+|---|---|---|
+| cu.area | 58 | area_code, area_name, display_level, selectable, sort_sequence |
+| cu.aspect | 550478 | series_id, year, period, aspect_type, value, footnote_codes |
+| cu.base | 2 | base_code, base_name |
+| cu.contacts | 16 | Consumer Price Indexes Contacts |
+| cu.data.0.Current | 1170617 | series_id, year, period, value, footnote_codes |
+| cu.data.1.AllItems | 64064 | series_id, year, period, value, footnote_codes |
+| cu.data.10.OtherWest | 297697 | series_id, year, period, value, footnote_codes |
+| cu.data.11.USFoodBeverage | 159139 | series_id, year, period, value, footnote_codes |
+| cu.data.12.USHousing | 64476 | series_id, year, period, value, footnote_codes |
+| cu.data.13.USApparel | 33478 | series_id, year, period, value, footnote_codes |
+| cu.data.14.USTransportation | 53412 | series_id, year, period, value, footnote_codes |
+| cu.data.15.USMedical | 24154 | series_id, year, period, value, footnote_codes |
+| cu.data.16.USRecreation | 34629 | series_id, year, period, value, footnote_codes |
+| cu.data.17.USEducationAndCommunication | 21869 | series_id, year, period, value, footnote_codes |
+| cu.data.18.USOtherGoodsAndServices | 26855 | series_id, year, period, value, footnote_codes |
+| cu.data.19.PopulationSize | 35413 | series_id, year, period, value, footnote_codes |
+| cu.data.2.Summaries | 287323 | series_id, year, period, value, footnote_codes |
+| cu.data.20.USCommoditiesServicesSpecial | 86580 | series_id, year, period, value, footnote_codes |
+| cu.data.3.AsizeNorthEast | 16487 | series_id, year, period, value, footnote_codes |
+| cu.data.4.AsizeNorthCentral | 60094 | series_id, year, period, value, footnote_codes |
+| cu.data.5.AsizeSouth | 11258 | series_id, year, period, value, footnote_codes |
+| cu.data.6.AsizeWest | 45180 | series_id, year, period, value, footnote_codes |
+| cu.data.7.OtherNorthEast | 231532 | series_id, year, period, value, footnote_codes |
+| cu.data.8.OtherNorthCentral | 264934 | series_id, year, period, value, footnote_codes |
+| cu.data.9.OtherSouth | 314730 | series_id, year, period, value, footnote_codes |
+| cu.footnote | 2 | footnote_code, footnote_text |
+| cu.item | 400 | item_code, item_name, display_level, selectable, sort_sequence |
+| cu.period | 16 | period, period_abbr, period_name |
+| cu.periodicity | 2 | periodicity_code, periodicity_name |
+| cu.seasonal | 2 | seasonal_code, seasonal_text |
+| cu.series | 8104 | series_id, area_code, item_code, seasonal, periodicity_code, base_code, base_period, series_title, footnote_codes, begin_year, begin_period, end_year, end_period |

bls/cu/cu.txt

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+				Consumer Price Index (CU)
+					cu.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:  CONSUMER PRICE INDEX - All Urban Consumers (CU)
+
+Survey Description: The Consumer Price Index (CPI) is a statistical measure
+of change, over time, of the prices of goods and services in major 
+expenditure groups--such as food, housing, apparel, transportation, and 
+medical care--typically purchased by urban consumers. Essentially, it 
+compares the cost of a sample "market basket" of goods and services in a 
+specific month relative to the cost of the same "market basket" in an 
+earlier reference period. This reference period is designated as the base 
+period.
+
+The CPI publishes indexes for two 
+populations; all urban consumers (CU) and urban wage earners and clerical workers (CW).  
+
+To construct the two indexes, thousands of prices for commodities and services purchased by consumers 
+are collected in a sample of 75 urban places. Rent data is collected in a separate sample of thousands 
+of rental units. Comparison of indexes for individual CMSA's or cities show only the relative
+change over time in prices between locations. These indexes cannot be used
+to measure interarea differences in price levels or living costs.
+
+Summary Data Available: U.S. average indexes for both populations are 
+available for several hundred consumer items and groups of items. In addition, 
+many of the indexes have been adjusted for seasonality. The indexes are monthly. Different indexes 
+go back to different years, with the earliest, including all items, dating to  1913. Semi-annual 
+indexes have been calculated for many items for comparison with 
+semi-annual areas mentioned below. Semi-annual indexes are available from 1984 forward.
+
+Area indexes for both populations are available for 23 urban places. For 
+each area, indexes are published for a subset of items and groups. The indexes
+are published monthly for three areas and bimonthly for twenty areas. Regional and division level 
+indexes for both populations are available for a subset of items and groups published. Indexes are 
+published for four regions and nine divisions. Regional indexes date to 1966; divisional indexes 
+are newer, dating to 2018. Indexes are monthly, with  Semi-annual indexes 
+also calculated for selected items.  
+
+City-size class indexes for both populations are available for two size classes 
+with a similar subset of groups and items. 
+Region/city-size indexes (for example, Midwest size class B/C)for both populations are also available monthly. 
+
+Frequency of Observations: U.S. city average indexes, regional indexes, 
+division  indexes, size class indexes, and three metro area indexes are monthly. 20 metro area indexes are bimonthly.
+
+Annual Averages: Annual averages are available for all unadjusted series 
+in the CW and CU.
+
+Base Periods: Most indexes have a base period of 1982-1984 = 100.  Other 
+indexes, mainly newer indexes, are based more recently.  The base period value is generally 100.0, 
+with rare exceptions where the base is set to 1000 to avoid loss of precision. The index
+for the "Purchasing Power" values (AAOR and SAOR) have a base period value of 1.000.
+
+Data Characteristics: Indexes are published to three decimal places.
+
+Updating Schedule:  Updates become available with the release of new data, typically between the 10th and 14th of the month 
+following the reference month.
+
+==================================================================================
+Section 2
+==================================================================================
+
+The following Consumer Price Index (All Urban Consumers) files are on the BLS 
+internet in the sub-directory pub/time.series/cu:
+
+	cu.data.0.Current			-  All current year-to-date 
+	cu.data.1.AllItems			-  All items (item_code AA0, SA0)
+	cu.data.2.Summaries			-  Summaries (item_code SA0, SAF,
+						   SAH, SAA, SAT, SAM, SAR, SAE, SAG,
+						   SAS, SAC)
+	cu.data.3.AsizeNorthEast		-  A-Size areas in Northeast
+						   (area_code A1 ...)
+	cu.data.4.AsizeNorthCentral		-  A-size areas in North Central
+						   (area_code A2 ...)
+	cu.data.5.AsizeSouth			-  A-Size areas in South
+						   (area_code A3 ...)
+	cu.data.6.AsizeWest			-  A-Size areas in West
+						   (area_code A4 ...)
+	cu.data.7.OtherNorthEast		-  All other Northeast
+						   (area_code 01, X1, D1)
+	cu.data.8.OtherNorthCentral		-  All other North Central
+						   (area_code 02, X2, D2)
+	cu.data.9.OtherSouth			-  All other in South
+						   (area_code 03, X3, D3)
+	cu.data.10.OtherWest			-  All other in West
+						   (area_code 04, X4)  
+	cu.data.11.USFoodBeverage		-  All US Food and Beverage
+						   (area_code 0000, item_code SAF, SEF)
+	cu.data.12.USHousing			-  All US Housing (area_code 0000, 
+						   item_code SAH, SEH)
+	cu.data.13.USApparel			-  All US Apparel (area_code 0000,
+						   item_code SAA, SEA)
+	cu.data.14.USTransportation		-  All US Transportation (area_code
+						   0000, item_code SAT, SET)
+	cu.data.15.USMedical			-  All US Medical (area_code 0000, 
+						   item_code SAM, SEM, SS57)
+	cu.data.16.USRecreation			-  All US Recreation (area_code 0000,
+						   item_code SAR, SER, SS31, SS61, SS62)
+	cu.data.17.USEducationAndCommunication	-  All US Education and Communication
+						   (area_code 0000, item_code SAE,
+						    SEE, SS27)
+	cu.data.18.USOtherGoodsAndServices	-  All US Other Goods and Services
+						   (area_code 0000, item_code SAG, SEG;
+						    SS33)
+	cu.data.19.PopulationSize		-  All Population-size (area_code
+						   A000, X000, D000)
+	cu.data.20.USCommoditiesServicesSpecial	-  All US Commodity and Services and 
+						   Special(area_code 0000, item_code 
+						   SA0, SAC, SAN, SAS)
+	cu.area					-  Area codes		mapping file
+	cu.contacts				-  Contacts for cu survey 
+	cu.footnote				-  Footnote codes	mapping file
+	cu.item					-  Item codes		mapping file
+	cu.MapErrors (TBR)			-  Map error codes	mapping file
+	cu.period				-  Period codes 	mapping file
+	cu.series				-  All series and their beginning and end dates
+	cu.txt					-  General information
+
+Note: TBR = File that will be removed.		
+=================================================================================
+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 download.bls.gov 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 
+cu.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		  	17		CUSR0000SA0
+
+2.  area_code		   	4		0400
+
+3.  item_code		   	8		SA0E
+
+4.  seasonal		   	1		S or U		
+						
+5.  periodicity_code	   	1		R	
+						
+6.  base_code		   	1		S
+
+7.  base_period		   	20		1982-84=100		
+				
+8.  begin_year		   	4		1947		
+
+9.  begin_period   		3		M01		
+
+10. end_year			4		2002
+
+11. end_period			3		M02
+				
+
+The series_id (CUSR0000SA0) can be broken out into:
+
+Code					Value
+
+survey abbreviation	=		CU
+seasonal(code)		=		S
+periodicity_code	=		R
+area_code		=		0000
+item_code		=		SA0
+==================================================================================
+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 cu.data file is partitioned into a number of separate files:  See Section 2
+
+All of the above-referenced data files have the following format:
+
+Field #/Data Element	Length		Value(Example)		
+
+1. series_id		  17		CUUR0400AA0
+
+2. year			   4		1966	
+
+3. period		   3		M12		
+
+4. value		  12      	53.3	
+				 
+5. footnote_codes	  10		It varies
+				
+
+The series_id (CUUR0400AA0) can be broken out into:
+
+Code					Value
+
+survey abbreviation	=		CU
+seasonal(code)		=		U
+periodicity_code	=		R
+area_code		=		0400
+item_code		=		AA0
+================================================================================
+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:  cu.area
+
+Field #/Data Element		Length		Value(Example)
+
+1. area_code			4		0100
+
+2. area_name			80		Text
+
+
+File Name:  cu.footnote
+
+Field #/Data Element		Length		Value(Example)
+
+1. footnote_code		1		R
+
+2. footnote_text		100		Text
+
+
+File Name:  cu.item
+
+Field #/Data Element		Length		Value(Example)
+
+1. item_code			8		AA0
+
+2. item_name			100		Text
+
+
+File Name:  cu.period
+
+Field #/Data Element		Length		Value(Example)
+
+1. period			3		M02
+
+2. period_abbr			5		FEB
+
+3. period_name			20		Text (e.g. February)
+=========================================================================================
+Section 7
+=========================================================================================
+CONSUMER PRICE INDEX (CU) DATABASE ELEMENTS
+
+Data Element	Length		Value(Example)			Description
+
+area_code	4		N or S, ,000-999		Unique code used to identify
+				Ex: A100 		a specific geographic area.
+					
+area_name	80		Text 			Name of specific geographic
+				Ex: MIAMI, FLA		area.
+				
+base_code	1		S=Standard reference 	Code identifying the type of
+				base			base period used in index.
+				A=Alternate reference 
+				base	
+
+base_period	20		Identifies the base  	The actual base period used
+				period			in calculating the index.
+				Ex: 1982-84=100	
+				     
+begin_period	3		M01-M13 or S01-S03	Identifies first data observation
+				Ex: MO6=June		within the first year for which 
+				(M=Monthly, M13=Annual	data is available for a given
+				Avg, S=Semi-Annually)	time series.
+				
+begin_year	4		YYYY			Identifies first year for which
+				Ex: 1975		data is available for a given
+							time series.
+
+end_period	3		M01-M13 or S01-S03	Identifies last data observation
+				Ex: M06=June		within the last year for which 
+				(M=Monthly, M13=Annual	data is available for a given
+				Avg, S=Semi-Annually)	time series.
+				
+end_year	4		YYYY			Identifies last year for which 
+				Ex: 1980		data is available for a given  
+							time series.
+
+footnote_code	1		R			Identifies footnote for the data 
+							series.
+
+footnote_text	100		Text			Contains the text of the footnote.
+
+item_code	8		SA0E			Identifies item for which 
+							data observations pertain.
+
+item_name	100		Text			Full names of items.
+				
+period_abbr	5		Text	 		Abbreviation of period name.
+				Ex: JUN
+
+period		3		M01-M13 or S01-S03	Identifies period for which
+				Ex: M06=June		data is observed. 
+				(M=Monthly, M13=Annual	
+				Avg, S=Semi-Annually)
+				
+period_name	20		Text		 	Full name of period to which
+				Ex: June		the data observation refers.
+				
+periodicity_	1		S=Semi-Annual		Frequency of data
+code				R=Regular		observation.
+
+seasonal	1		S=Seasonally		Code identifying whether the
+				  Adjusted 		data are seasonally adjusted.
+				U=Unadjusted			  		
+
+series_id	17		CUSR0000SA0		Code identifying the specific 
+							series.
+
+value		12		53.3			Price index for item.
+	   
+year		4		YYYY			Identifies year of observation.
+				Ex: 1990		
+				
+
+
+
+

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