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ATUS/docs/ATUS-CPS2024_info.txt

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+
+The data file atuscps_2024.dat (2024 ATUS-CPS file) contains 393 variables and 61,784 observations.  
+
+For more information about this file, see the 2024 ATUS-CPS Data Dictionary, available online at:  https://www.bls.gov/tus/dictionaries/atuscpscodebk24.pdf.
+
+In addition to the data file, three computer programs are contained in atuscps-2024.zip.  If you have SPSS, SAS, or Stata software, you may use these programs to read the data into your statistical software package.  The programs include variable and value labels for most variables.  For information about unlabeled values, please refer to the data dictionary.
+
+The file "atuscps_2024.sps" reads the data into SPSS; some variable names exceed length 8.
+
+The file "atuscps_2024.sas" reads the data into SAS.
+
+The file "atuscps_2024.do" reads the data into Stata.
+
+If you have SAS, SPSS, or Stata software, open the corresponding program, edit the infile (in SAS), file (in SPSS), or import (in Stata) statement to reference the data file on your computer, and run the program. 

ATUS/docs/Activity2024_info.txt

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+
+The data file atusact_2024.dat (2024 Activity file) contains 30 variables and 139,535 observations.  
+
+For more information about this file, see the ATUS 2024 Interview Data Dictionary, available online at:  https://www.bls.gov/tus/dictionaries/atusintcodebk24.pdf.
+
+In addition to the data file, three computer programs are contained in atusact-2024.zip.  If you have SPSS, SAS, or Stata software, you may use these programs to read the data into your statistical software package.  The programs include variable and value labels for most variables.  For information about unlabeled values, please refer to the data dictionary.
+
+The file "atusact_2024.sps" reads the data into SPSS; some variable names exceed length 8.
+
+The file "atusact_2024.sas" reads the data into SAS.
+
+The file "atusact_2024.do" reads the data into Stata.
+
+If you have SAS, SPSS, or Stata software, open the corresponding program, edit the infile (in SAS), file (in SPSS), or import (in Stata) statement to reference the data file on your computer, and run the program. 

ATUS/docs/American Time Use Survey—2024 Microdata Files _ U.S. Bureau of Labor Statistics.pdf

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+size 232538

ATUS/docs/How to use ATUS microdata files _ U.S. Bureau of Labor Statistics.pdf

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+size 577375

ATUS/docs/Resp2024_info.txt

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+
+The data file atusresp_2024.dat (2024 Respondent file) contains 175 variables and 7,669 observations. 
+
+For more information on the 2024 Respondent file, please see the 2024 ATUS Interview Data Dictionary, available online at: https://www.bls.gov/tus/dictionaries/atusintcodebk24.pdf.   
+
+In addition to the data file, three computer programs are contained in atusresp-2024.zip.  If you have SPSS, SAS, or Stata software, you may use these programs to read the data into your statistical software package.  The programs include variable and value labels for most variables.  For information about unlabeled values, please refer to the data dictionary.
+
+The file "atusresp_2024.sps" reads the data into SPSS; some variable names exceed length 8.
+
+The file "atusresp_2024.sas" reads the data into SAS.
+
+The file "atusresp_2024.do" reads the data into Stata.
+
+If you have SAS, SPSS, or Stata software, open the corresponding program, edit the infile (in SAS), file (in SPSS) or import (in Stata) statement to reference the data file on your computer, and run the program. 

ATUS/docs/atuscpscodebk24.pdf

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ATUS/docs/atusintcodebk24.pdf

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ATUS/docs/atususersguide.pdf

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CPS-ASEC/data/pppub25.csv

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NHANES/data/Dietary/DSII.xpt

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NHIS/docs/FPL-guidelines-2023.pdf

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NHIS/docs/SURVEY DESCRIPTION.pdf

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NHIS/docs/adult-codebook.pdf

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NHIS/docs/readme.txt

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+Dear NHIS Data User, 
+
+We would like to bring to your attention that when importing a CSV data file into SAS or R, the 
+software by default determines the variable attributes (i.e., data type and length) based on the 
+first few observations, which may be an insufficient number of observations if these include few 
+or no responses. Variables with a length of two or more (e.g., month of vaccine with values 1-12) 
+and with many missing values can get truncated to length of one (e.g., values 10–12 will be read 
+as 1) or be given an incorrect data type. In NHIS, a variable may have many missing values because 
+the question was administered during part of the year (e.g., quarters 3 and 4) and/or most of the 
+sample is out of universe for the question. 
+
+Data users can set the number of observations that the software uses for determining the length of 
+variables in the CSV dataset. For SAS, at least half the number of observations in the data file 
+may be reasonable and using all the observations in the file may be necessary if variables are not
+read correctly. For R, specifying how to read the variable attribute depends on whether you use 
+standard R or the readr R library or an R library that includes readr such as tidyverse. To confirm 
+that your software correctly created your data file from the CSV file, we advise that you compare 
+the frequencies from your file to the frequencies provided in the codebooks on the website (and 
+focus on those variables with few observations). 
+
+Options to change the default:
+
+SAS
+In SAS, add the option ‘guessingrows’ to the import statement. The 2023 Sample Adult has 29522 
+observations and the example below specifies to use 5,000 observations to determine the length:
+
+proc import datafile="adult23.csv" out=adult dbms=csv; getnames=yes; guessingrows=5000; run;
+
+
+Standard R
+The read.csv function will read the entire file and wait until the end to determine variable attributes. 
+The default that converts text strings into enumerated values can be disabled. The example below reads 
+the entire 2023 Sample Adult CSV file and does not convert text strings into factors but leaves them as 
+text strings. 
+
+adult2023 <- read.csv(“adult23.csv”, stringsAsFactors=FALSE)
+
+
+Library(readr)
+The read_csv function by default only reads in 1,000 records to determine variable attributes and will not 
+convert strings to factors. If using read_csv, add the argument ‘guess_max.’ The 2023 Sample Adult file has 
+29522 observations and the example below specifies to use 29522 observations to determine the data type.
+
+adult2023 <- read_csv(“adult23.csv”, guess_max = 29522)

STC/data/STC_Historical_DB (2024).xlsx

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+size 1039571

STC/docs/2020stcmethodology.pdf

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STC/docs/Tax Revenue Classifications.pdf

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STC/docs/_ReadMe_STC.txt

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+--------------------------------------------------------------------------------	
+                               README for	
+     U.S. DEPARTMENT OF COMMERCE--ECONOMICS AND STATISTICS ADMINISTRATION	
+                 U.S. CENSUS BUREAU - GOVERNMENTS DIVISION	
+	
+           Database on Historical State Tax Collections:
+                         "STC_Historical_DB"	
+                       Fiscal Years 1950 - 2024
+                              April 2025
+--------------------------------------------------------------------------------	
+
+This ZIP file contains the U.S. Census Bureau's data base providing 
+historical statistics on State Tax Collections.  
+
+It spans state government fiscal years between 1951 and 2024 (plus limited data 
+for even years between 1942 and 1950 and National totals going back to 1902) 
+and covers the finance topics of state tax collections.
+
+The U.S. Census Bureau sponsors and conducts this census of state 
+governments as authorized by Title 13, United States Code, Section 161 and 182.
+
+================================================================================
+**** IMPORTANT IMPORTANT IMPORTANT IMPORTANT IMPORTANT IMPORTANT IMPORTANT ****
+================================================================================
+
+The Census Bureau implemented significant changes to its classification system
+for statistics on state government finances effective with FY 2005 data. Some 
+of these changes will be obvious (e.g., new variables, no more data for existing
+ones, large increases due to expanded coverage of variable). Others, however, 
+will not be as apparent.
+
+====================	
+UNIVERSE DESCRIPTION	
+====================
+	
+The data cover the 50 state governments and D.C. only. No local government data are 
+included and should not be interpreted as state-area data (state government 
+plus local government tax collections combined.)
+
+The state government tax data presented by the U.S. Census Bureau may differ 
+from data published by state governments because the Census Bureau may be 
+using a different definition of which organizations are covered under the 
+term,  state government .
+
+For the purpose of State Government Tax Collections statistics, the term 
+ state government  refers not only to the executive, legislative, and judicial 
+branches of a given state, but it also includes agencies, institutions, 
+commissions, and public authorities that operate separately or somewhat 
+autonomously from the central state government but where the state government 
+maintains administrative or fiscal control over their activities as defined 
+by the Census Bureau.
+
+For further information on the definition and organization of governments, 
+see Chapter 1 of the Government Finance and Employment Classification Manual
+which can be accessed on-line here: 
+     https://www2.census.gov/programs-surveys/govs/about/2006_classification_manual.pdf
+and the Census of Governments which can be accessed on-line here:
+     https://www.census.gov/programs-surveys/cog.html
+
+ 
+==========================	
+SUBJECT MATTER DESCRIPTION	
+==========================	
+	
+This data base contains statistics on up to 25 State Tax items. 
+
+These tax data are in thousands of dollars.
+
+Statistics on the State Government Tax Collections Survey include 
+measurement of tax by category: Property Tax, Sales and Gross Receipts 
+Taxes, License Taxes, Income Taxes, and Other Taxes. Each tax category 
+is broken down into sub-categories (e.g., motor fuel sales, alcoholic 
+beverage sales, motor vehicle licenses, alcoholic beverage licenses, 
+and so on). There are currently 25 different tax codes that state tax 
+revenue may fall into.	
+
+The tax statistics are in terms of current dollar amounts as originally 
+reported. They have not been adjusted for price and wage changes occurring 
+through the years.
+
+The statistics reflect state government fiscal years that end on June 30, 
+except for four states with other ending dates: 
+
+Alabama and Michigan (September 30), New York (March 31), and Texas (August 31).
+	 
+- For detailed descriptions and definitions of terms used in this series,
+refer to our classification manual which can be accessed on-line here:	
+	
+     https://www2.census.gov/programs-surveys/govs/about/2006_classification_manual.pdf
+
+=============	
+YEARS COVERED	
+=============	
+
+This data base covers fiscal years 1942, 1944, 1946, 1948, and 1950 (limited 
+detail) and 1951 to 2024.  National totals only are also shown for selected 
+years between 1902 and 1940.
+	
+=====================	
+OTHER DATA USER NOTES	
+=====================	
+
+- This data base is a file of the U.S. Census Bureau. It is an archive
+of the data items published in the report series, "State Government Finances," 
+since 1951. Limited data are also shown for even years between 1942 and 1950.
+These data are based on the periodic censuses of governments and annual surveys
+of government finances.
+
+- The data are based on information from public records and contain no 
+confidential data.
+
+- Additional information on technical documentation, including methodology, can be accessed on-line here:
+     https://www.census.gov/programs-surveys/stc/technical-documentation.html
+
+- Numbers like "-11111" are flags meaning that the data
+item was not published in year cited.
+
+- Data users who create their own estimates using these data should cite the
+Census Bureau as the source of the original data only.
+
+- Suggested citation: U.S. Census Bureau, Annual Survey of State Government
+Tax Collections (years)
+
+==============================================================================	
+	
+State Finance and Tax Statistics Branch	
+Economy-wide Statistics Division	
+US Census Bureau	
+U.S. Department of Commerce	
+Washington, D.C.  20233-6800	
+866-820-7210	
+	
+================================== END =======================================	

STC/docs/statetaxtechdoc2020.pdf

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STC/docs/us_regdiv.pdf

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