Hi Sharad, Thank you for converting this data. I am trying to use the codebook and yet struggling to understand this data. I have written to the author of this data - in case I get a simpler version, I will post it here.
Regards, Purnima On Tuesday, 30 October 2018 06:10:45 UTC, Sharad Lele wrote: > > We have been able to convert the SAS files for 1981 district data from > Vannemann into csv files using R. I have posted them here. But cannot make > out the format, because it seems quite complicated. You may have to refer > to the codebook on the website. Also there may be errors in data > conversion--let me know if you think there are. > > https://drive.google.com/file/d/1Q2hNAOJsKjhsaUL1G_r-1rKllU-uR7HX/view?usp=sharing > > Sharad > > On Thursday, 25 October 2018 12:52:07 UTC+5:30, [email protected] > wrote: >> >> Hi all, >> >> Thank you so much for sharing this data. I am a Phd student and have been >> looking for this for a long time. Does anyone know if it is possible to >> find the 1981 census data anywhere? The data is available on >> http://vanneman.umd.edu/districts/files/index.html in SAS format but >> unfortunately I do not have access to SAS and the convertors I have only >> leave me with variable names and no data. >> >> Thanks, >> Purnima >> >> On Friday, 31 August 2018 06:51:29 UTC+1, Sumit wrote: >> > Great! >> > >> > Sorry, I missed the first message. >> > I will compare this with the one that I have cleaned. >> > >> > >> > >> > Sumit >> > >> > On Friday, 31 August 2018 10:50:43 UTC+5:30, Naraina aka Dilip Damle >> wrote: >> > Hi sumit, >> > >> > and for the information of others >> > >> > I rechecked the link again I was talking about the same data . >> > >> > The difference in the data that I have shared now is that THIS DATA >> for 1991 is at Village / Town level. >> > >> > >> > On Friday, August 31, 2018 at 9:05:11 AM UTC+5:30, Sumit wrote: >> > >> > Hi Dilip and Karthik, >> > >> > >> > I had shared the data on the forum a few years ago (Thejesh had created >> a repo too; I can't find it now.). Resharing this - >> https://sites.google.com/site/mishrasumitr/data?authuser=0 >> > Hope this helps. >> > >> > >> > Sumit >> > >> > On Tuesday, 28 August 2018 19:44:10 UTC+5:30, Naraina aka Dilip Damle >> wrote: >> > HI, >> > >> > The PCA 2001 and 2011 are available in STATA format and there is a link >> somewhere on this group. >> > I have got it from there. >> > >> > I am not sure but it may be in the Group repository. Please check. >> > Better if someone else who knows about the repository answers. >> > >> > On Tuesday, August 28, 2018 at 7:37:27 PM UTC+5:30, Karthik Shashidhar >> wrote: >> > Thanks, Dilip, for making this available. >> > >> > >> > I'm downloading this, and will let you know in case I find any issues. >> > >> > >> > Is the PCA for the 2001 Census available in a similar format? >> > >> > >> > Thanks much >> > Karthik >> > >> > On Monday, 27 August 2018 19:58:39 UTC+1, Naraina aka Dilip Damle >> wrote: >> > Hello, >> > >> > I think The Census 1991 PCA ... Primary Census Abstract data was not >> available in a collated form anywhere. >> > >> > hence started working on this and have created combined files in csv >> format using Data downloaded from Census website. >> > >> > Hers is the copy of the readme file that accompanies the data. >> > >> > >> > ========== >> > >> > Reademe file for Census_1991_PCA Village/Town level data >> > >> > >> > >> > >> > Source : Census of India Website : Digital Library >> > >> > >> > Compiled by : Naraina Damle AKA Dilip Damle email : [email protected] >> > >> > >> > Files Included : 4 >> > >> > >> > All_India.csv >> > All_states.csv >> > PCA_URBAN.csv >> > PCA_Rural.csv >> > >> > >> > Process done >> > The individual files were downloaded and cleaned for missing Codes/ >> Names etc. and combined. >> > The Total population was checked and verified at all the levels >> > >> > >> > >> > >> > Changes done to data : >> > >> > >> > 1. The state codes in individual files did not match the All India and >> state level file. Changed them according to all india. >> > 2. Some states do not have Block and Nyaya Panchayat code. Added >> blank/0 value filed there. >> > 3. All codes except Location code changed to numeric format from padded >> text format. >> > 4. Added ISO state codes for easier identification. >> > 5. Created Unique record_ID using ISO State codes and Locationcode >> > 6. No change done to any Data beyond and including the place name >> > >> > >> > Possible errors : >> > >> > >> > There could still be some missing Names of Districts/Tehsils etc. >> > >> > >> > >> > >> > Further improvments will be done later. >> > >> > >> > >> > >> > Released this Version on 28August2018 >> > >> > >> > May edit this file later with more specific cleaning done. >> > >> > >> > ==================== >> > >> > >> > Hers is the googeldrive link to the data : >> https://drive.google.com/drive/folders/1CNh5oaX3efZbW4yo8GXqbufjy57cMR09?usp=sharing >> >> > >> > I request interested people to have a look at it and we will rectify >> any shortcomings and then load it in the repository. >> > >> > If you need the MS Access file which I used to work with this data then >> send me a private mail. >> > -- Datameet is a community of Data Science enthusiasts in India. 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