Commit
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29004a8
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Parent(s):
removed lfs deps
Browse files- .gitattributes +55 -0
- .vscode/settings.json +3 -0
- README.md +33 -0
- comparison.ipynb +0 -0
- gsgdp_at_current_price.csv +227 -0
- state_code_abbreviation.csv +37 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.ckpt filter=lfs diff=lfs merge=lfs -text
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*.ftz filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Audio files - uncompressed
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# Audio files - compressed
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.vscode/settings.json
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{
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"python.analysis.autoImportCompletions": true
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}
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README.md
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---
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license: mit
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language:
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- en
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tags:
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- India, Economics, GDP
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size_categories:
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- n<1K
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---
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# Indian States GDP numbers
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I wanted to find out how Indian states were faring since independence and if government policies and regimes have made any difference. Since I could not find any aggregate data I wanted to use a list of government documents and compile it myself by state.
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For the first dataset I will complile only the southern and richer northern states for comparison:
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- Andhra Pradesh
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- Telangana
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- Karnataka
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- Kerala
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- Maharashtra
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- Tamil Nadu
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- Gujrat
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- Punjab
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- West Bengal
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### Sources:
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- 1961 - 1984 : [https://mospi.gov.in/sites/default/files/press_releases_statements/Estimates_of_SDP_1960-61_to_1983-84.pdf](https://mospi.gov.in/sites/default/files/press_releases_statements/Estimates_of_SDP_1960-61_to_1983-84.pdf)
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- 1993-94 to 05-06: [https://mospi.gov.in/publication/state-domestic-product-state-series-1993-94](https://mospi.gov.in/publication/state-domestic-product-state-series-1993-94)
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- 1999-00 to 09-10: [https://mospi.gov.in/publication/state-domestic-product-state-series-1999-2000](https://mospi.gov.in/publication/state-domestic-product-state-series-1999-2000)
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- 2011-12 to 22-23: [https://mospi.gov.in/sites/default/files/press_releases_statements/State_wise_SDP_01_08_2023_Rev.xls](https://mospi.gov.in/sites/default/files/press_releases_statements/State_wise_SDP_01_08_2023_Rev.xls)
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## Notes
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- Sometimes when there are overlapping timelines like the second source and third source have overlap from 1999-00 to 05-06 - they often have different numbers. In such a case I have considered the calculation done at a later stage considering that is has been updated recently.
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comparison.ipynb
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The diff for this file is too large to render.
See raw diff
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gsgdp_at_current_price.csv
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state,start_year,end_year,value
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AP, 1993, 1994, 5786664
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AP, 1994, 1995, 6892337
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AP, 1995, 1996, 7985358
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AP, 1996, 1997, 9014743
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AP, 1997, 1998, 9578227
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AP, 1998, 1999, 11493710
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AP, 1999, 2000, 12879712
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AP, 2000, 2001, 14472302
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AP, 2001, 2002, 15671069
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AP, 2002, 2003, 16709609
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AP, 2003, 2004, 19001651
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AP, 2004, 2005, 21180229
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14 |
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AP, 2005, 2006, 23968299
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15 |
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AP, 2006, 2007, 27728562
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16 |
+
AP, 2007, 2008, 32654675
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17 |
+
AP, 2008, 2009, 37734627
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18 |
+
AP, 2009, 2010, 41134926
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AP, 2011, 2012, 37940200
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AP, 2012, 2013, 41140400
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AP, 2013, 2014, 46427200
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22 |
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AP, 2014, 2015, 52497600
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23 |
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AP, 2015, 2016, 60422900
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AP, 2016, 2017, 68441600
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AP, 2017, 2018, 78613500
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AP, 2018, 2019, 87372100
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27 |
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AP, 2019, 2020, 92583900
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28 |
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AP, 2020, 2021, 95678800
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AP, 2021, 2022, 113383700
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AP, 2022, 2023, 131772800
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GJ, 1993, 1994, 4919429
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32 |
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GJ, 1994, 1995, 6351578
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GJ, 1995, 1996, 7188561
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34 |
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GJ, 1996, 1997, 8583736
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35 |
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GJ, 1997, 1998, 9118760
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GJ, 1998, 1999, 10530452
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GJ, 1999, 2000, 10986100
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38 |
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GJ, 2000, 2001, 11113900
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39 |
+
GJ, 2001, 2002, 12357300
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40 |
+
GJ, 2002, 2003, 14153400
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GJ, 2003, 2004, 16808000
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42 |
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GJ, 2004, 2005, 18911800
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GJ, 2005, 2006, 22689700
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GJ, 2006, 2007, 26272300
|
45 |
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GJ, 2007, 2008, 30373427
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GJ, 2008, 2009, 33721665
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GJ, 2011, 2012, 61560600
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GJ, 2012, 2013, 72449500
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GJ, 2013, 2014, 80762300
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GJ, 2014, 2015, 92177300
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GJ, 2015, 2016, 102901000
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GJ, 2016, 2017, 116715600
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GJ, 2017, 2018, 132909500
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GJ, 2018, 2019, 149215600
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GJ, 2019, 2020, 161714300
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GJ, 2020, 2021, 161610600
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GJ, 2021, 2022, 193706600
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GJ, 2022, 2023, NA
|
59 |
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KA, 1993, 1994, 4107905
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60 |
+
KA, 1994, 1995, 4791516
|
61 |
+
KA, 1995, 1996, 5621456
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KA, 1996, 1997, 6517573
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63 |
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KA, 1997, 1998, 7304576
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KA, 1998, 1999, 8784091
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KA, 1999, 2000, 10124745
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KA, 2000, 2001, 10836170
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KA, 2001, 2002, 11284650
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KA, 2002, 2003, 12088876
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KA, 2003, 2004, 13098974
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KA, 2004, 2005, 15622577
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KA, 2005, 2006, 18379562
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KA, 2006, 2007, 20578406
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KA, 2007, 2008, 24006235
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KA, 2008, 2009, 27069662
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KA, 2011, 2012, 60601000
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KA, 2012, 2013, 69541300
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KA, 2013, 2014, 81666600
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KA, 2014, 2015, 91392300
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KA, 2015, 2016, 104516800
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KA, 2016, 2017, 120760800
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KA, 2017, 2018, 133324000
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KA, 2018, 2019, 147939100
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KA, 2019, 2020, 161113400
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KA, 2020, 2021, 162507300
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KA, 2021, 2022, 196272500
|
86 |
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KA, 2022, 2023, 224136800
|
87 |
+
KL, 1993, 1994, 2632602
|
88 |
+
KL, 1994, 1995, 3187663
|
89 |
+
KL, 1995, 1996, 3876232
|
90 |
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KL, 1996, 1997, 4445990
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91 |
+
KL, 1997, 1998, 4948447
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92 |
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KL, 1998, 1999, 5620368
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93 |
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KL, 1999, 2000, 6916847
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94 |
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KL, 2000, 2001, 7265883
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KL, 2001, 2002, 7792375
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96 |
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KL, 2002, 2003, 8689476
|
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KL, 2003, 2004, 9669803
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KL, 2004, 2005, 11025991
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KL, 2005, 2006, 12558808
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KL, 2006, 2007, 14500932
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KL, 2007, 2008, 16572174
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KL, 2008, 2009, 18984082
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KL, 2011, 2012, 36404800
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KL, 2012, 2013, 41231300
|
105 |
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KL, 2013, 2014, 46504100
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KL, 2014, 2015, 51256400
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KL, 2015, 2016, 56199400
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KL, 2016, 2017, 63488600
|
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KL, 2017, 2018, 70158800
|
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KL, 2018, 2019, 78828600
|
111 |
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KL, 2019, 2020, 81293500
|
112 |
+
KL, 2020, 2021, 77172400
|
113 |
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KL, 2021, 2022, 93247000
|
114 |
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KL, 2022, 2023, NA
|
115 |
+
MH, 1993, 1994, 11331964
|
116 |
+
MH, 1994, 1995, 13007332
|
117 |
+
MH, 1995, 1996, 15781812
|
118 |
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MH, 1996, 1997, 17931077
|
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MH, 1997, 1998, 19516812
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120 |
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MH, 1998, 1999, 20969865
|
121 |
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MH, 1999, 2000, 24783022
|
122 |
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MH, 2000, 2001, 25228283
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MH, 2001, 2002, 27318782
|
124 |
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MH, 2002, 2003, 29947870
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MH, 2003, 2004, 34060005
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MH, 2004, 2005, 38629685
|
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MH, 2005, 2006, 43873234
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128 |
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MH, 2006, 2007, 51745923
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MH, 2007, 2008, 61010803
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MH, 2008, 2009, 69274942
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MH, 2011, 2012, 128036900
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MH, 2012, 2013, 145962900
|
133 |
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MH, 2013, 2014, 164964700
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MH, 2014, 2015, 177913800
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MH, 2015, 2016, 196622500
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MH, 2016, 2017, 219818500
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MH, 2017, 2018, 235278200
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MH, 2018, 2019, 252885400
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MH, 2019, 2020, 265737100
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MH, 2020, 2021, 262754200
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MH, 2021, 2022, 310802200
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MH, 2022, 2023, NA
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PB, 1993, 1994, 3024814
|
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PB, 1994, 1995, 3421762
|
145 |
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PB, 1995, 1996, 3861486
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146 |
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PB, 1996, 1997, 4419768
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PB, 1997, 1998, 4870419
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PB, 1998, 1999, 5573569
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PB, 1999, 2000, 6716197
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PB, 2000, 2001, 7467745
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PB, 2001, 2002, 7961070
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PB, 2002, 2003, 8224920
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PB, 2003, 2004, 9008860
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PB, 2004, 2005, 9666008
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PB, 2005, 2006, 10865334
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PB, 2006, 2007, 12120938
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PB, 2007, 2008, 14430933
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PB, 2008, 2009, 16580364
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PB, 2009, 2010, 19236389
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PB, 2011, 2012, 26662800
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PB, 2012, 2013, 29773400
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PB, 2013, 2014, 33214700
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+
PB, 2014, 2015, 35510200
|
164 |
+
PB, 2015, 2016, 39008700
|
165 |
+
PB, 2016, 2017, 42698800
|
166 |
+
PB, 2017, 2018, 47101400
|
167 |
+
PB, 2018, 2019, 51251000
|
168 |
+
PB, 2019, 2020, 53703100
|
169 |
+
PB, 2020, 2021, 54085300
|
170 |
+
PB, 2021, 2022, 61422700
|
171 |
+
PB, 2022, 2023, 67310700
|
172 |
+
TN, 1993, 1994, 5754902
|
173 |
+
TN, 1994, 1995, 6866579
|
174 |
+
TN, 1995, 1996, 7820534
|
175 |
+
TN, 1996, 1997, 8923735
|
176 |
+
TN, 1997, 1998, 10355034
|
177 |
+
TN, 1998, 1999, 11820918
|
178 |
+
TN, 1999, 2000, 13418520
|
179 |
+
TN, 2000, 2001, 14679594
|
180 |
+
TN, 2001, 2002, 14886118
|
181 |
+
TN, 2002, 2003, 15815525
|
182 |
+
TN, 2003, 2004, 17537080
|
183 |
+
TN, 2004, 2005, 20237357
|
184 |
+
TN, 2005, 2006, 23483693
|
185 |
+
TN, 2006, 2007, 27691723
|
186 |
+
TN, 2007, 2008, 30498868
|
187 |
+
TN, 2008, 2009, 33921164
|
188 |
+
TN, 2011, 2012, 75148600
|
189 |
+
TN, 2012, 2013, 85482500
|
190 |
+
TN, 2013, 2014, 96853000
|
191 |
+
TN, 2014, 2015, 107267800
|
192 |
+
TN, 2015, 2016, 117650000
|
193 |
+
TN, 2016, 2017, 130263900
|
194 |
+
TN, 2017, 2018, 146505100
|
195 |
+
TN, 2018, 2019, 163020900
|
196 |
+
TN, 2019, 2020, 174314400
|
197 |
+
TN, 2020, 2021, 178807400
|
198 |
+
TN, 2021, 2022, 207128600
|
199 |
+
TN, 2022, 2023, 236451400
|
200 |
+
WB, 1993, 1994, 5342414
|
201 |
+
WB, 1994, 1995, 6203158
|
202 |
+
WB, 1995, 1996, 7386461
|
203 |
+
WB, 1996, 1997, 8207541
|
204 |
+
WB, 1997, 1998, 9796640
|
205 |
+
WB, 1998, 1999, 11551602
|
206 |
+
WB, 1999, 2000, 13537610
|
207 |
+
WB, 2000, 2001, 14372487
|
208 |
+
WB, 2001, 2002, 15714428
|
209 |
+
WB, 2002, 2003, 16800000
|
210 |
+
WB, 2003, 2004, 18925851
|
211 |
+
WB, 2004, 2005, 20943891
|
212 |
+
WB, 2005, 2006, 22933908
|
213 |
+
WB, 2006, 2007, 26454229
|
214 |
+
WB, 2007, 2008, 30789504
|
215 |
+
WB, 2008, 2009, 35396715
|
216 |
+
WB, 2011, 2012, 52048500
|
217 |
+
WB, 2012, 2013, 59146500
|
218 |
+
WB, 2013, 2014, 67684900
|
219 |
+
WB, 2014, 2015, 71808200
|
220 |
+
WB, 2015, 2016, 79730000
|
221 |
+
WB, 2016, 2017, 87252700
|
222 |
+
WB, 2017, 2018, 97470000
|
223 |
+
WB, 2018, 2019, 110205400
|
224 |
+
WB, 2019, 2020, 117909700
|
225 |
+
WB, 2020, 2021, 115582100
|
226 |
+
WB, 2021, 2022, 136392600
|
227 |
+
WB, 2022, 2023, 155499200
|
state_code_abbreviation.csv
ADDED
@@ -0,0 +1,37 @@
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|
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|
1 |
+
State name, code
|
2 |
+
Andhra Pradesh,AP
|
3 |
+
Arunachal Pradesh,AR
|
4 |
+
Assam,AS
|
5 |
+
Bihar,BR
|
6 |
+
Chhattisgarh,CG
|
7 |
+
Goa,GA
|
8 |
+
Gujarat,GJ
|
9 |
+
Haryana,HR
|
10 |
+
Himachal Pradesh,HP
|
11 |
+
Jammu and Kashmir,JK
|
12 |
+
Jharkhand,JH
|
13 |
+
Karnataka,KA
|
14 |
+
Kerala,KL
|
15 |
+
Madhya Pradesh,MP
|
16 |
+
Maharashtra,MH
|
17 |
+
Manipur,MN
|
18 |
+
Meghalaya,ML
|
19 |
+
Mizoram,MZ
|
20 |
+
Nagaland,NL
|
21 |
+
Orissa,OR
|
22 |
+
Punjab,PB
|
23 |
+
Rajasthan,RJ
|
24 |
+
Sikkim,SK
|
25 |
+
Tamil Nadu,TN
|
26 |
+
Telangana,TG
|
27 |
+
Tripura,TR
|
28 |
+
Uttarakhand,UK
|
29 |
+
Uttar Pradesh,UP
|
30 |
+
West Bengal,WB
|
31 |
+
Andaman and Nicobar Islands,AN
|
32 |
+
Chandigarh,CH
|
33 |
+
Dadra and Nagar Haveli,DH
|
34 |
+
Daman and Diu,DD
|
35 |
+
Delhi,DL
|
36 |
+
Lakshadweep,LD
|
37 |
+
Pondicherry,PY
|