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Consumer Expenditure Survey of NSSO Data

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Consumer Expenditure surveys of NSS are the primary and only source of large scale data on the various level of living, the pattern of consumption & expenditure and well being of households at the town, district, state and country level in both rural and urban areas. Following are the major household consumer expenditure surveys conducted by NSS: Rounds Year 27 th Round 1972-73 32 nd Round 1977-78 38 th Round 1983 43 rd Round 1987-88 50 th Round 1993-94 55 th Round 1999-00 61 st Round 2004-05 66 th Round 2009-10 68 th Round 2011-12 Consumption and Expenditure data of the following items are available in the latest Consumer Expenditure survey of NSS. List of Items: Cereals Cereals substitutes Pulses and pulse products Milk and milk products Salt and sugar Edible oil Egg, Fish and Meat Vegetables Fresh Fruits Dry Fruits Spices Beverages Served processed food Packaged processed food Pan Tobacco Intoxicants Fuel and Light Clothing
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Merging of NSSO Data

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Merging of NSSO data is one of the most common FAQ. This will help in providing link or merging of two or more files in one file. Merging in STATA is done by comparing two variables that are in two different files. Merging of two files does not involve much complexities when the number of cases are same and they are at the same level of measurement i.e. both of the files are either at household level or individual level. But, it becomes more complex when the two datasets are at different measurement level i.e. one is at the household level and another one is at the individual level. With Same Level of Measurement: Adding variables with the same level of measurement implies that to files are being merged at the same level of measurement, i.e. both files are household files. In order to merge two files, follow the steps given below: a) Generation of Common ID b) Sort both files based on common ID and c) Merging Data These variables include FSU_NO, HG_SB_NO, SSS_NO and SAMPL
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Weights of NSSO Data

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Since the NSSO data are samples, the multipliers are used to generates survey weights so you can get population level estimates based on the sampled survey responses. For generating subsample-wise estimates based on data of all  subrounds taken together, either Subsample-1 households or  Subsample-2 households are to be considered at one time.  Subsample code is available in the data file. Apply final weight (or all-subround multipliers) as follows : final weight = MLT/100, if NSS=NSC = MLT/200 otherwise. Copy of readme file which is available with data with a note for the user Note for users : ---------------- (1) These are text data with fixed record-length of 143 characters (including new-line character). First 126 bytes are data, next 6 bytes comprise of number of first stage units surveyed within a substratum for the sub-sample (NSS) and sub-sample combined (NSC) and next 10 bytes are weight or multiplier for the sub-sample (MLT). Last byte is for Newline charac
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Extraction of NSSO Data

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The following post is basically designed for the understanding of extraction of NSSO Data. It contains STATA codes for extraction of unit-level survey data from NSSO's 71st round on Health and Education consumption in the ASCII format given to users to .dta format of STATA. About the NSSO data The NSSO data is provided in ASCII format and is flat/line sequential, also called a fixed width file. The data is accompanied by an excel sheet with the details of the layout of the data. The entire dataset is provided in ten txt files covering eleven blocks of data. To import any txt file into STATA, one has to first create a dictionary file (.dct) following the layout of the data, and then import it into STATA using the infix command through the dictionary file. The STATA code for extraction: infix dictionary { - - - - - - } infix using "<insert file path to dictionary file>", using ("<insert file path name to .txt file>") For m
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Basics of NSSO Data

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NSSO Unit level Data means? It is the basic validated data at the ultimate level like households or establishments or factories or enterprises. It is also called micro-data or disaggregated data or raw data. Aggregated data or Reports can be generated by making use of programming tools / statistical packages on this unit-level data. The form of NSSO Data: It is provided in flat line-sequential ASCII format and they can be imported into any other software platform like R, Python, STATA and SPSS for analysis purpose. How to get NSSO Data? One has to visit the following page to see the details related to price for the data and procedures to get the data along with the FAQs. Link to get the detailed information on NSSO Data purchase procedures and prices History of NSSO The need for the sound database of various fields was keenly felt by Late Prime Minister of India Pandit Jawaharlal Nehru. It was, at his instance a large scale sample survey agency known as NSS (Nat
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