10-result-booklet-2018

yæÞût©ewk rðuŒ 

„wsht‚ {tæÞr{f yu Wå[‚h {tæÞr{f rþûtý ƒtuzo îtht {t[o-2018{tk ÷uðtÞu÷ {tæÞr{f þt¤tk‚ «{tý…ºt …heûttwk 

…rhýt{ ònuh fh‚tk ytkŒe ÷t„ýe yw¼ðwk Awk. yt ð»tuo {tæÞr{f þt¤tk‚ «{tý…ºt …heûtt htßÞt 908 fuLÿtu 

…h ÷uðt{tk ytðu÷ n‚e. su{tk 3361 …heûttMÚt¤tu (rƒÕzª„tu) ð…htþ{tk ÷uðt{tk ytÔÞt n‚t. 

yt …heûtt{tk 795528 rÞr{‚ W{uŒðthtu tUÄtÞt n‚t. su …ife 790240 …heûttÚteoytu …heûtt{tk W…ÂMÚt‚ 

hÌtt n‚t yu 533414 …heûttÚteoytu «{tý…ºtu …tºt ƒ‚t rÞr{‚ W{uŒðthtuwk …rhýt{ 67.50 xft ònuh 

fhðt{tk ytðu Au. ßÞthu rh…exh W{uŒðth ‚hefu 241043 W{uŒðthtu tUÄtÞt n‚t ‚u …ife 233476 W{uŒðthtu W…ÂMÚt‚ 

hÌtt n‚t. su{tkÚte 33117 W{uŒðthtu ËV¤ Út‚tk ‚uytuwk …rhýt{ 14.18 xft ytÔÞwk Au. yt W…htk‚ ¾t„e W{uŒðth 

‚hefu tUÄtÞu÷ ‚Útt ytuAe ntshet fthýu yuûtxo÷ W{uŒðth ‚hefu ‚ƒŒe÷ ÚtÞu÷ fw÷ 41085 W{uŒðthtu …ife 37725 

W{uŒðthtu W…ÂMÚt‚ hÌtt n‚t. su{tkÚte 2620 W{uŒðthtu «{tý…ºtu …tºt ƒu÷ Au, ‚uytuwk …rhýt{ 6.94 xft ytðu÷ Au. 

yt …heûtt{tk ËV¤‚t «tÃ‚ fhth ‚{t{ …heûttÚteoytuu nwk yr¼kŒ …tXðwk Awk. ¼trð fthrfŒeo {txu ‚uytu ytÚte 

…ý ðÄw WíËtn, …rh©{ yu ytí{rðïtË…qðof yt„¤ ðÄe rËrØt ðt rþ¾htu Ëh fhu ‚uðe þw¼uåAt …tXðwk Awk. 

ftuE …ý …heûtt Sðe yt¾he fËtuxe ntu‚e Úte. su W{uŒðthtuu nsw ËwÄthýte ytð~Þf‚t Au ‚uðt W{uŒðthtu n‚tþ 

fu rhtþ ÚtÞt rðt sw÷tE {tË{tk ÷uðt{tk ytðth …qhf …heûtt yt…e ÞtuøÞ‚t «tÃ‚ fhu ‚uðwk Ëq[ fhwk Awk. fXtuh 

…rh©{tu ftuE rðfÕ… Úte ‚u ƒtƒ‚ æÞtu ht¾e yíÞthÚte s ‚uytu yÇÞtË{tk «ð]¥t ÚtE òÞ ‚uðe rðk‚e Au. ƒtuzot 

«&…ºttu{tk Ë{s yu W…Þtus ytÄtrh‚ «&tu …qAðte «Útt ¢{þ: rðfËe hne Au íÞthu …tXâ…wM‚f fu yLÞ «ftþtu{tk 

yt…u÷ nfef‚tu „tu¾ý…èe fheu ‚iÞth fhðtt ƒŒ÷u rð»tÞðM‚wu ÞtuøÞ he‚u Ë{Su yÇÞtË fhðt{tk ytðu yu 

‚u s he‚u ð„o¾kz{tk rþûtý yt…ðt{tk ytðu ‚tu rðãtÚteo yt„¤ s‚tk Sðt Œhuf ‚ƒ¬u ©uc‚{ …whðth Útþu ‚uðtu 

rðïtË Au. 

sq 2016Úte htßÞe 57 þt¤tytuyu Ätuhý-9{tk yk„úuS («Út{ ¼t»tt), rð¿tt yu „rý‚ rð»tÞtu{tk NCERTt 

…tXâ…wM‚ftu ywËth yÇÞtË fhtððttu PILOT PROJECT y{÷{tk {qfu÷. yt «tusuõx nuX¤ 5956 W{uŒðthtuyu yt 

ð»tuo Ätuhý-10{tk NCERTt …tXâ…wM‚ftu ywËth ‚iÞth fhtÞu÷ «&…ºttu {wsƒ …heûtt yt…u÷ Au. ƒtuzo îtht ‚u{t 

{qÕÞtkfe ft{„ehe …ý Ëw…uhu „tuXððt{tk ytðu÷ n‚e. yt ð»tuo «Út{ðth «¿tt[ûtw W{uŒðthtuu ƒúuR÷r÷r…{tk ‚iÞth 

fhtÞu÷ «&…ºttu yt…ðt{tk ytÔÞt n‚t. 

„uhher‚ zt{ðt ntÚt ÄhtÞu÷ …„÷tk suðtk fu CCTV fu{uht yu sYrhÞt‚ n‚e ‚uðt ð„o¾kztu{tk {qftÞu÷ xuç÷uxTË 

îtht …heûtt¾kzt rheûtýu Ë{ts{tk ËwkŒh ytðfth {éÞtu Au. Ë{„ú ð»to Œhr{Þt Mðƒ¤u {nu‚ fhth ‚usMðe 

rðãtÚteoytuu ÞtuøÞ LÞtÞ yt…ðte rŒþt{tk ÷uðtÞu÷ ytðt …„÷tkytue Ëhtnt ÚtE hnu÷ Au. rþûtýs„‚ ËtÚtu Ëkf¤tÞu÷ 

‚{t{ ËkƒkrÄ‚tuu yt ‚ƒ¬u rðk‚e fhwk Awk fu, ¼rð»Þ{tk „uhher‚t Œw»f]íÞ{tk «íÞût fu …htuût he‚u ftuE…ý ÔÞÂõ‚ 

Ët{u÷ ÚttÞ yu htßÞe „rh{tu XuË …ntU[u ‚uðwk ftuE f]íÞ fhu nª. yt ð»tuo Ätuhý-10t «&…ºttut …uufuxTË 

rƒÕzª„ðtRÍ R÷tÞŒt …tËo÷{tk ‚iÞth fhtðe Ëe÷ƒkÄ …tËo÷tu þt¤tytu ËwÄe …ntU[tzðt{tk ytðu÷ n‚t. suÚte …rhðn 

Œhr{Þt …u…h ÷ef Útðte ftuE Ëk¼tðt hnuðt …t{u nª. 

Ë{„ú htßÞ{tk Ätuhý 10t 11 ÷t¾ fh‚tk ðÄw yu Ätuhý-12t 6 ÷t¾Úte ðÄw rðãtÚteoytu ƒtuzoe …heûtt yt…‚t 

ntuÞ íÞthu …heûtte ft{„ehe{tk ç÷tuf M‚h ËwÄe …heûtt ËtrníÞwk [eðx…qðof rð‚hý fhðwk, «&…ºttue „tu…eÞ‚t 

ò¤ððe, ytÄwrf xufTtu÷tuStu Œwhw…Þtu„ ÚttÞ ‚uwk æÞt ht¾ðwk ‚Útt …qh‚e ËkÏÞt{tk {tð ËkËtÄe ÔÞðMÚtt „tuXððe 

¾qƒ s srx÷ yu yrðh‚ …rh©{ {t„u Au. htßÞt {teÞ {wÏÞ{kºte©e, {teÞ rþûtý{kºte©e, {teÞ {kºte©eytu 

yu y„úËr[ð©e rþûtýt Ë‚‚ «tuíËtn yu {t„oŒþoÚte …rhýt{ ‚iÞth fhðt ËwÄee ft{„ehe Ëthe he‚u …th 

…tze þftE Au. yt ftÞo{tk htßÞ Ëhftht yrÄf {wÏÞ Ër[ð©e „]nrð¼t„, y„úËr[ð©e rþûtýrð¼t„ ‚u{s yLÞ 

ðrhc yrÄftheytutu Ëk…qýo Ënfth yu {t„oŒþo Ëtk…zât Au. f÷uõxh©eytu, …tu÷eË fr{þh©eytu, …tu÷eË yrÄûtf©eytu, 

rsÕ÷t rþûtýtrÄfthe©eytu ‚u{s rsÕ÷tt yLÞ yrÄftheytutu …qhtu ËnÞtu„ «tÃ‚ ÚtÞtu Au. …heûttt Ë{„ú ftÞo¢{ 

Œhr{Þt ƒtuzot ËÇÞtu, rþûtýËk½tut ntuÆuŒthtu, Ëk[t÷f{kz¤, yt[tÞtuo-rþûtftu, ðt÷eytu yu Ë{„ú Ë{tst Ë÷tnËq[ 

yu Ënfth {éÞt Au. yt ‚ƒ¬u …heûttt Ëk[t÷{tk Þtu„Œt yt…th Ëtitu ÓŒÞ…qðof yt¼th {twk Awk. 

fux÷tf rsÕ÷t f÷uõxh©eytuyu {n¥ðt rð»tÞtut …u…htu Œhr{Þt rsÕ÷tt ‚{t{ …heûttMÚt¤tu …h hts…rºt‚ 

yrÄftheytuu Ë‚‚ ntsh ht¾e „uhher‚rðrn …heûtt ÞtuòÞ ‚u {txu ËwkŒh ftÞoðtne fhe Au ‚ue Ëw¾Œ tUÄ ÷uðt{tk 

ytðu Au. ¼rð»Þ{tk ‚{t{ rsÕ÷tytu{tk ytðe ÔÞðMÚtt „tuXðtÞ ‚uðe rsÕ÷t ðneðxe‚kºt …tËu y…uûtt Au. 

…heûtte ¼„ehÚt ft{„ehe rŠðÎ he‚u yu ËV¤‚t…qðof …qýo fhðt{tk ƒtuzot yrÄftheytu, f{o[theytu ‚Útt 

…heûtte swŒe swŒe ft{„ehe ËtÚtu Ëkf¤tÞu÷t Ëtiyu Ë‚‚ rct…qðof ft{„ehe fhe …tu‚twk {n¥t{ Þtu„Œt ytÃÞwk Au. 

‚u Ëtitu yt¼th ÔÞõ‚ fhwk Awk. 

økktÄeLkøkh 

íkk. 26-05-2018 

yu. su. þtn 

yæÞûk, 

økwshkík {kæÞr{f yLku Wå[íkh {kæÞr{f 

rþûký çkkuzo, økktÄeLkøkh

«MíkkðLkk 

{t[o-2018{tk ÷uðtÞu÷ {tæÞr{f þt¤tk‚ «{tý…ºt …heûttwk …rhýt{ ytshtus ònuh fheyu Aeyu. ‚{t{ ËV¤ 

W{uŒðthtuu yr¼kŒ …tXð‚t y{tu n»toe ÷t„ýe yw¼ðeyu Aeyu. 

yt …heûtt Ë{„ú htßÞtk 908 fuLÿtu{tk ÷uðt{tk ytðu÷ ‚Útt yuËeEythxe «tusuõx {txu 21 swŒt fuLÿtu ¬e fhðt{tk 

ytðu÷. sqt„Z rsÕ÷twk ¾tuhtËt fuLÿ 96.93 xft {u¤ðeu {tu¾hu hÌtwk Au. ßÞthu ŒtntuŒ rsÕ÷twk Ëw¾Ëh fuLÿ 5.93 

xft {u¤ðe ËtiÚte AuÕ÷u hnu÷ Au. 

yt …heûtte Ë½¤e ft{„ehe{tk „wÃ‚‚t, rðïËeÞ‚t yu [tufËtE ò¤ððt ‚Útt …rhýt{ Ë{Þ{ÞtoŒt{tk 

«rËØ fhðte ft{„ehe{tk ËthMð‚r{ºttu, f{o[theytu yu yrÄftheytutu Ëk…qýo Ënfth {éÞtu Au ‚utu y{u „tihð ËtÚtu 

ytkŒ Au. 

ð»to¼h {nu‚ fheu yt„¤ ðÄðt {tk„‚t W{uŒðthtuu LÞtÞ yt…e þftÞ yu xqkft hM‚t y…tðe …heûtt{tk ¼út{f 

ËV¤‚t {u¤ðthu yxftðe þftÞ ‚u òuðwk yt…ýt Ëtie Vhs ƒu Au. su{tk yt ð»tuo ÚtÞu÷ W¥t{ ft{„ehee tUÄ ÷uðt{tk 

ytðu Au. yt ð»tuo …heûtt Œhr{Þt „uhher‚t 105 fuË tUÄtÞu÷ n‚t su{e YƒY Ëwtðýee ft{„ehe …qýo fhe …heûtt 

rðrÞ{tu ywËth rþûtt fhðt{tk ytðu÷ Au. ßÞthu ËeËexeðe fu{uht yu xuç÷uxTËt ðerzÞtu Vqxust ytÄthu «tÚtr{f he‚u 

„uhher‚{tk Ët{u÷ sýt‚t 1231 W{uŒðthtuwk …rhýt{ yt{‚ ht¾ðt{tk ytðu÷ Au, sue YƒY Ëwtðýe xqkf Ë{Þ{tk ntÚt 

Ähtþu. yt rËðtÞ …rhýt{ ‚iÞth fh‚e ð¾‚u OMRt „wý yu W¥thðnet „wý{tk rðËk„‚‚t Ërn‚e fux÷ef yrÞr{‚‚t 

æÞtu ytð‚t 452 W{uŒðthtut …rhýt{ yt{‚ ht¾ðt{tk ytðu÷ Au. yt W…htk‚ 230 W{uŒðthtut rfMËt{tk {qÕÞtkf 

Œhr{Þt sýtE ytðu÷ Au fu …heûtt Œhr{Þt W{uŒðthtuyu yufƒeò{tkÚte òuEu ÷ÏÞwk Au yÚtðt yuf s «ftht ËtrníÞ{tkÚte 

f÷ fhu÷ Au. ‚uytue Ëwtðýee ftÞoðtne …ý ÚtE hnu÷ Au. 

[t÷w ð»tuo htßÞe y{ŒtðtŒ, ðztuŒht, htsftux yu Ëwh‚e su÷tu{tk „tuXðtÞu÷ …heûtt fuLÿtu{tk 157 ƒkŒeðt W{uŒðthtue 

…heûtt {txu ‚kºt îtht ÞtuøÞ ÔÞðMÚtt „tuXððt{tk ytðu÷ n‚e. 

yt rðM‚]‚ yu rð„‚ðth …rhýt{tu Ÿztu yÇÞtË yu ‚thýtu {tæÞr{f þt¤tytu, rþûtý ƒtuzo, Ëk[t÷f {kz¤ 

yu rþûtýrðŒTtuu fE rŒþt{tk «Þítu fhe ðÄw „wýð¥tt ‚hV sðwk Au ‚u yk„u [tu¬Ë ytÄth¼q‚ {trn‚e …qhe …tzþu. 

yt rŒþt{tk Œhuf þt¤tytu …tu‚te sYrhÞt‚ {wsƒ rðãtÚteoytu-rþûtftue þiûtrýf ËwÄthýt {txu ‚t÷e{e ÔÞðMÚtt yu 

ƒ¤tk …tËtk yk„u swŒt swŒt W…tÞtu rð[theu yt„ðwk yu Ë{ÞƒØ ytÞtus fhe þfþu. [t÷w ð»tuo ƒtuzot «&…ºttu yufkŒhu 

ûtr‚hrn‚, Ë{‚tu÷ yu „tu¾ý…èet ƒŒ÷u Ë{s ytÄtrh‚ «&tu Ähtð‚t n‚t. 

þt¤tfeÞ …heûttt ‚Útt ytk‚rhf {qÕÞtkftk „wý ytu÷tR {tuf÷ðtwk AuÕ÷t 4 ð»toÚte þY ÚtÞu÷ Au ‚u{tk þt¤tytu 

‚hVÚte Ëthtu Ënfth {¤u÷ Au sue tUÄ ÷Eyu Aeyu, …hk‚w ½ýe þt¤tytu îtht yt ftÞo{tk ¾qƒ s [e÷t[t÷w yr¼„{ 

y…tðe ûtr‚ytu fhðt{tk ytðu Au suu fthýu ykr‚{ …rhýt{ ‚iÞth fh‚e ð¾‚u ¾qƒ s {w~fu÷e yw¼ðtÞ Au. …ºt 

÷¾ðt yu Vtu fhðt A‚tk þt¤tfeÞ ytk‚rhf {qÕÞtkft „wý W…÷çÄ Útðtt fthýu 22 rÞr{‚ W{uŒðthtuwk ‚Útt 

þt¤tfeÞ rð»tÞe …heûttt „wý W…÷çÄ Útðtt fthýu 70 …whtðŠ‚‚ W{uŒðthtuwk …rhýt{ MÚtr„‚ ht¾ðt{tk ytðu÷ Au. 

yt …rhýt{ ‚iÞth fhðt{tk snu{‚ WXtðth ‚{t{ yrÄfther{ºttu, {ŒŒeþ Ër[ð©eytu ‚Útt ‚u{e xwfzet ‚{t{ 

ËÇÞtuu ¾tË yr¼kŒ …tXððt{tk ytðu Au. …heûttwk …rhýt{ ‚iÞth fhðt{tk rðrðÄ ‚ƒ¬u …qh‚e ft¤S yu [tufËtE 

ht¾ðtt «ÞtËtu fhðt {txu ƒtuzot yrÄftheytu, f{o[theytu, ûtr‚hrn‚ «&…ºt ‚iÞth fhth «tr&ftu, ¼t»ttk‚hfthtu, 

…heûtftu, Ë{eûtftu, …t÷t fuLÿt rÞt{ftu, {æÞMÚt {qÕÞtkf MÚt¤tk rÞt{ftu, Ëk„ýf fuLÿtut rÞt{ftu ‚Útt ftu-ytuŠzuxËo 

‚{t{u yr¼kŒ yt…eyu Aeyu. 

…heûtte ft{„ehet ¼t„Y…u …t÷t fuLÿ, {æÞMÚt {qÕÞtkf, Ëk„ýf ft{„ehe {txu þt¤ttk {fttu Vt¤ðe yt…th 

ËkMÚttytutu …ý yt ‚ƒ¬u yt¼th {teyu Aeyu. ËkƒkrÄ‚ rsÕ÷tytut …tu÷eË yrÄfthe©eytu su{ýu Ë{„ú ft{„ehe Œhr{Þt 

ƒtuzoe {tk„ýe ywËth …tu÷eË ƒkŒtuƒM‚ …qhtu …tzu÷ Au ‚uytu «r‚ …ý yt¼the ÷t„ýe ÔÞõ‚ fheyu Aeyu. 

ËV¤ …heûttÚteoytuu yr¼kŒ ‚Útt ËwÄthýtu yðftþ Au ‚u W{uŒðthtu ¼rð»Þe …heûtt{tk ðÄw ‚iÞthe fhe WíËtn…qðof 

…heûtt yt…e ËV¤‚t {u¤ðu ‚uðe þw¼uåAtytu …tXðeyu Aeyu. 

ðztuŒht ƒe. yuË. …k[t÷ yu{. ytheV¾t …Xt 

‚t. 26-05-2018 …heûtt Ër[ð ¾tË Vhs …ht yrÄfthe 

2 {k[o-2018 S.S.C.

(A) 

„úu®z„ …Ør‚ 

…rhýt{t ËkŒ¼o{tk y„íÞe {trn‚e 

The grades have been awarded in the subjects of Board Examination and School based Examination as 

follows : 

Marks Range 

Grade 

91-100 A1 

81-90 A2 

71-80 B1 

61-70 B2 

51-60 C1 

41-50 C2 

33-40 D 

21-32 E1 

20 and below E2 

To qualify in a subject, a candidate must obtain minimum of grade ‘D’. To be eligible for Secondary Certificate, 

a candidate must obtain minimum of grade ‘D’ in all subjects. Those candidates who have obtained grade 

‘E1’ or ‘E2’ in the subjects of External Examination shall have to improve their performance through subsequent 

attempts and qualify. Passing standard for differently abled candidate is 20%. 

(B) …ËoLxtR÷ huLf (Percentile Rank) : 

…ËoLxtR÷ huLf rðãtÚteoytut yuf Ë{qnt Œu¾tðe {w÷ðýe fhðte yt yuf swŒe …Ør‚ Au, su «ýtr÷ft„‚ xftðthee 

…Ør‚Úte Úttuzef swŒe …zu Au. nt÷ ËwÄee «[r÷‚ …Ør‚ {wsƒ rðãtÚteoyu {u¤ðu÷ fw÷ „wýu rð»tÞe ËkÏÞt ðzu ¼t„e 

su ytkf ytðu ‚uu xftðthe ‚hefu ytu¤¾ðte «Útt y{÷{tk n‚e. ßÞthu …ËoLxtR÷ huLfe rÚtÞhe{tk rðãtÚteoytut Ët…uût 

Œu¾tðe {w÷ðýe ÚttÞ Au. yt Ët…uût‚t rðãtÚteoytut yuf {tuxt sqÚt, Ë{qn ‚Útt swŒt swŒt Ë{Þft¤ {txu …ý Ëh¾t{ýe 

fhðtwk yuf ðtsƒe ËtÄ ƒe hnu Au. 

…ËoLxtR÷ huLfe „ý‚he : ftuE yuf {qÕÞtkf{tk x {tfoË {u¤ðth rðãtÚteoytu yt¾t Ë{qn{tk fux÷t rðãtÚteoytue yt„¤ 

Au, yÚtto‚T huLft ¢{{tk ‚u{e …tA¤ fux÷tu Ë{qn Au ‚ue Ëh¾t{ýe Ëtu xftt Mfu÷{tk fhðte hnu Au. Œt.‚., fux÷tf 

rðãtÚteoytuyu 500{tkÚte 473(x) „wý «tÃ‚ fÞto ntuÞ yu 0 Úte 472 „wý «tÃ‚ fhthe ËkÏÞt 95,000 (L) ntuÞ yu 

fw÷ rðãtÚteo Ë{qn 1,00,000 (n) ntuÞ ‚tu Wõ‚ 472 i.e. x „wý {u¤ðth rðãtÚteoytue …ËoLxtR÷ huLf 95,000 / 1,00,000 

x 100 yÚtto‚T 95.00 ÚttÞ. ƒeò þçŒtu{tk fneyu ‚tu yt rðãtÚteo fw÷ rðãtÚteoytut TOP 5% rðãtÚteoytu{tk ytðu Au. 

yt{, Percentile Rank = L / n x 100 

ßÞtk x = su „wýËkÏÞt …h …ËoLxtR÷ huLf ftZðte Au ‚u 

L = 0 Úte x - 1 „wý {u¤ðth rðãtÚteoytue fw÷ ËkÏÞt 

n = Ë{qn{tk ytðhe ÷uðtÞ ‚{t{ rðãtÚteoytue ËkÏÞt ({t[o-2018{tk n = 852090 „ýe þftÞ.) 

• …ËoLxtR÷ huLf (Percentile Rank)e „ý‚he fhðt{tk rÞr{‚, ¾t„e yu …whtðŠ‚‚ (rð»tÞ{wÂõ‚ rËðtÞ ‚{t{ 

rð»tÞtu{tk W…ÂMÚt‚ ÚtÞu÷t) W{uŒðthtu …ife ƒtuzo îtht ÷uðtÞu÷ A rð»tÞtue …heûtt{tk W…ÂMÚt‚ ÚtÞu÷ ‚{t{ W{uŒðthtut 

SCORE æÞtu ÷uðt{tk ytðu÷ Au. 

{k[o-2018 S.S.C. 3

{tæÞr{f þt¤tk‚ «{tý…ºt …heûttwk …rhýt{ 

RESULT AT A GLANCE 

rð„‚ {t[o-2017 {t[o-2018 

fw÷ fuLÿtu (…uxtfuLÿtu Ërn‚) 876 908 

W…ÂMÚt‚ rÞr{‚ W{uŒðthtue ËkÏÞt 775013 790240 

{tæÞr{f þt¤tk‚ «{tý…ºtu …tºt rÞr{‚ W{uŒðthe ËkÏÞt 528870 533414 

rÞr{‚ W{uŒðthtut …rhýt{e xftðthe 68.24% 67.50% 

W…ÂMÚt‚ …whtðŠ‚‚ W{uŒðthtue ËkÏÞt 246610 233476 

{tæÞr{f þt¤tk‚ «{tý…ºtu …tºt …whtðŠ‚‚ W{uŒðthe ËkÏÞt 33385 33117 

…whtðŠ‚‚ W{uŒðthtut …rhýt{e xftðthe 13.54% 14.18% 

W…ÂMÚt‚ ¾t„e ‚Útt yuõËxo÷ W{uŒðthtue ËkÏÞt 42822 37725 

{tæÞr{f þt¤tk‚ «{tý…ºtu …tºt ¾t„e ‚Útt yuõËxo÷ W{uŒðthe ËkÏÞt 2989 2620 

¾t„e ‚Útt yuõËxo÷ W{uŒðthtut …rhýt{e xftðthe 6.98% 6.94% 

ðÄw …rhýt{ Ähtð‚wk fuLÿ Y…tðxe (rs. htsftux) 97.47% ¾tuhtËt (rs.sqt„Z) 96.93% 

ytuAwk …rhýt{ Ähtð‚wk fuLÿ ÷tkƒrzÞt (rs. Ët.ftk.) 10.50% Ëw¾Ëh (rs. ŒtntuŒ) 5.93% 

ðÄw …rhýt{ Ähtð‚tu rsÕ÷tu Ëwh‚-79.27% Ëwh‚-80.06% 

ytuAwk …rhýt{ Ähtð‚tu rsÕ÷tu {oŒt-46.90% ŒtntuŒ-37.35% 

100% …rhýt{ Ähtð‚e þt¤tytu 451 368 

yuf rð»tÞ{tk ËwÄthýtu yðftþ Ähtð‚t rÞr{‚ rðãtÚteoytue ËkÏÞt 21319 9874 

ƒu rð»tÞ{tk ËwÄthýtu yðftþ Ähtð‚t rÞr{‚ rðãtÚteoytue ËkÏÞt 59671 27708 

„úuzðtRÍ rËrØ «tÃ‚ fhth rÞr{‚ rðãtÚteoytue ËkÏÞt 

A1 3750 6378 

A2 24454 33956 

B1 57739 72739 

B2 113538 127110 

C1 181817 172350 

C2 140229 113932 

D 7327 6937 

E1* 16 12 

rÞr{‚ …ife fw{thtuuwk …rhýt{ (Male) 64.69% 63.73% 

…whtðŠ‚‚ …ife fw{thtuuwk …rhýt{ (Male) 12.38% 12.65% 

¾t„e ‚Útt yuõËxo÷ …ife fw{thtuuwk …rhýt{(Male) 5.68% 5.13% 

rÞr{‚ …ife fLÞtytuwk …rhýt{ (Female) 73.33% 72.69% 

…whtðŠ‚‚ …ife fLÞtytuwk …rhýt{ (Female) 16.96% 18.80% 

¾t„e ‚Útt yuõËxo÷ …ife fLÞtytuwk …rhýt{ (Female) 10.57% 11.70% 

yk„úuS {tæÞ{t rÞr{‚ W{uŒðthtut …rhýt{e xftðthe 92.72% 90.12% 

„wsht‚e {tæÞ{t rÞr{‚ W{uŒðthtut …rhýt{e xftðthe 65.93% 65.16% 

rnLŒe {tæÞ{t rÞr{‚ W{uŒðthtut …rhýt{e xftðthe 73.11% 72.30% 

„uhher‚t fuË 108 105 

CCTV fu{uht Vqxust ywËkÄtu 

tUÄtÞu÷ „uhher‚ fuË (…rhýt{ yt{‚) 1198 1231 

yLÞ fthýtuËh yt{‚ ht¾u÷ …rhýt{ 810 675 

Differently Abled (rŒÔÞtk„) W{uŒðthe ËkÏÞt 6003 6015 

20% …t®Ë„ MxtLzzoÚte …tË Útth 1624 1650 

Differently Abled (rŒÔÞtk„) W{uŒðthtue ËkÏÞt 

* Differently abled W{uËðkh 20% økwýÚke qualified Úkíkk nkuðkÚke 


{kæÞr{f þt¤tk‚ «{kýÃkºk Ãkheûkk, {k[o-2018 

W{uŒðthe fuxu„he «{týu …rhýt{wk rð&÷u»tý 

W{uŒðthe tUÄtÞu÷ W…ÂMÚt‚ «{tý…ºtu …tºt …rhýt{ 

fuxu„he W{uŒðthtue ËkÏÞt W{uŒðthtue ËkÏÞt W{uŒðthtue ËkÏÞt (xft) 

rÞr{‚ (huøÞw÷h) 795528 790240 533414 67.50 

…whtð‚eo (rh…exh) 241043 233476 33117 14.18 

«tEðux (huøÞw÷h) 16825 15248 1132 7.42 

«tEðux (rh…exh) 9306 8275 710 8.58 

yuõËxo÷ W{uŒðth 14954 14202 778 5.48 

fw÷ «tRðux ‚Útt yuõËxo÷ 41085 37725 2620 6.94 

yufkŒh 1077656 1061441 – – 

…]ÚtfT (ytRËtu÷uxuz) 26198# 24497# – – 

fw÷ W{uŒðthtu 1103854 1085938 – – 

# …]ÚtfT W{uŒðthtu ËtÚtu fw÷ W{uŒðthtu 1103854 ÚttÞ, …]ÚtfT W{uŒðthtuu …rhýt{{tk „ýðt{tk ytð‚t Úte. ‚uytuu 

Võ‚ „wý/„úuz yt…ðt{tk ytðu Au. 

{tæÞr{f þt¤tk‚ «{tý«ºt …heûtt - «{tý…ºtu …tºt rðãtÚteoytu yu rðãtŠÚteytue {trn‚e 

rÞr{‚ W{uŒðthtu 

rð¼køk LkkUÄkÞu÷ MktÏÞk WÃkÂMÚkík MktÏÞk W¥keýo MktÏÞk Ãkrhýk{ (xfk) 

fw{kh fLÞk fw{kh fLÞk fw{kh fLÞk fw{kh fLÞk 

fw÷ 460862 334666 457531 332709 291565 241849 63.73% 72.69% 

rh…exh W{uŒðthtu 



fw÷ 180832 60211 175237 58239 22168 10949 12.65% 18.80% 

¾t„e yu yuõËxo÷ W{uŒðthtu 



fw÷ 29734 11351 27301 10424 1400 1220 5.13% 11.70% 

rðrðÄ {tæÞ{ «{týu rÞr{‚ rðãtÚteoytuwk …rhýt{ 

{tæÞ{ tUÄtÞu÷ ËkÏÞt W…ÂMÚt‚ ËkÏÞt W¥teýo ËkÏÞt …rhýt{ xft 

Gujarati 704737 699643 455898 65.16% 

Hindi 18665 18570 13426 72.30% 

Marathi 3771 3753 2728 72.69% 

English 66769 66696 60108 90.12% 

Urdu 1376 1368 1069 78.14% 

Sindhi 58 58 43 74.14% 

Tamil 16 16 11 68.75% 

Telugu 47 47 45 95.74% 

Oriya 89 89 86 96.63% 


ðrðÄ økúuz {u¤ðíkk ËV¤ rÞr{Œ ÃkheûkkÚkeoykuLke MktÏÞk 

A-1 A-2 B-1 B-2 C-1 C-2 D E-1* 

6378 33956 72739 127110 172350 113932 6937 12 

* Differently abled W{uËðkh 20% økwýÚke qualified Úkíkk nkuðkÚke 

{wÏÞ rð»tÞtuwk …rhýt{ 

SUBJECT REGISTERED APPEARED EQC PERCENTAGE 

GUJARATI FL 704741 699646 592968 84.75% 

ENGLISH FL 66766 66693 63769 95.62% 

SOCIAL SCIENCE 795528 790236 677752 85.77% 

SCIENCE & TECHNO. 795528 790236 564349 71.42% 

MATHEMATICS 794856 789569 538996 68.26% 

GUJARATI SL 90786 90592 85176 94.02% 

ENGLISH SL 728627 723410 515113 71.21% 

SANSKRIT SL 502574 500003 413811 82.76% 

HINDI SL 262216 259641 228766 88.11% 

EQC = Eligible for Qualifying Certificate 

rð»tÞðth {n¥t{ „wýtkf 

SUBJECT Maximum No. of Max. score No. of Max. score No. of 

Score Candidates in OMR Candidates in Answer Candidates 

out of Out of Book 

100 50 out of 50 

GUJARATI FL 97 2 50 29 47 11 

HINDI FL 95 2 50 1 47 8 

MARATHI FL 94 1 50 3 44 6 

ENGLISH FL 96 1 50 163 45 5 

URDU FL 95 1 48 1 50 17 

SINDHI FL 88 2 43 1 49 3 

TAMIL FL 72 1 38 1 37 1 

TELUGU FL 86 1 37 1 49 1 

ORIYA FL 90 1 43 1 45 5 

SOCIAL SCIENCE 100 31 50 1046 50 556 

SCIENCE & TECHNO. 100 44 50 344 50 2268 

MATHEMATICS 100 35 50 215 50 661 

GUJARATI SL 97 5 50 213 48 1 

HINDI SL 96 1 50 196 48 6 

SINDHI SL 84 1 36 1 48 2 

ENGLISH SL 99 11 50 342 49 11 

SANSKRIT SL 100 55 50 601 50 1103 

PERSIAN SL 99 1 49 2 50 78 

AREBIC SL 95 1 46 9 50 7 

URDU SL 96 1 46 1 50 3 

ENGLISH FL NCERT 92 3 50 5 43 1 

OTHERS 

SCI. & TECH. NCERT 100 1 50 1 50 96 

OTHERS 

MATHEMATICS NCERT 100 2 50 12 50 27 

OTHERS 

ENGLISH FL NCERT 91 2 – – 71/80 4 

SURAT 

SCI. & TECH. NCERT 100 5 – – 80/80 8 

SURAT 

MATHEMATICS NCERT 100 6 – – 80/80 9 

SURAT 


ð»tÞðth „úuzðth rËrØ «tÃ‚ fhth rÞr{‚ rðãtÚteoytue ËkÏÞt 

SUBJECT GRADE A1 A2 B1 B2 C1 C2 D E1 E2 Total 

GUJARATI FL 1553 36218 102973 161034 163877 113978 13093 40017 66904 699647 

HINDI FL 65 1624 4157 4884 3983 2039 147 505 1165 18569 

MARATHI FL 4 288 954 1025 689 407 36 142 208 3753 

ENGLISH FL 489 10080 17529 16541 12113 6433 583 579 2346 66693 

URDU FL 11 95 297 379 299 185 13 16 73 1368 

SINDHI FL 0 11 14 15 12 4 2 0 0 58 

TAMIL FL 0 0 2 1 7 5 0 0 1 16 

TELUGU FL 0 8 11 13 8 7 0 0 0 47 

ORIYA FL 0 9 37 31 11 0 0 0 1 89 

SOCIAL SCIENCE 12608 51165 104849 163286 186798 141394 17430 39236 73474 790240 

SCIENCE & TECHNO. 15956 39532 66179 96367 132414 170070 43435 124644 101643 790240 

MATHEMATICS 8283 20538 31513 51581 98914 243589 84209 172650 78297 789574 

GUJARATI SL 1626 17850 23422 19113 13790 8494 875 1580 3842 90592 

HINDI SL 284 12359 43863 63535 61617 41663 5323 9893 21108 259645 

SINDHI SL 0 3 1 2 1 0 0 0 1 8 

ENGLISH SL 5021 30456 58047 89976 127370 166644 37288 102240 106372 723414 

SANSKRIT SL 13478 45601 77430 95897 96504 75521 9270 35228 51075 500004 

PERSIAN SL 89 359 576 716 581 298 16 13 62 2710 

AREBIC SL 11 294 802 1030 780 380 56 35 96 3484 

URDU SL 4 20 46 48 31 29 5 3 16 202 


{kæÞr{f þk¤ktík «{kýÃkºk ÃkheûkkykuLkkt ÃkkA÷k ð»koLkkt Ãkrhýk{kue {krníke 

ÃkheûkkLkwt {kMk LkkUÄkÞu÷k W…ÂMÚt‚ ËV¤ W…ÂMÚt‚ W{uŒðthtu Ãkrhýk{Lke 

ð»ko W{uËðkhkuLke W{uËðkhkuLke W{uËðkhkuLke …ife ËV¤ íkkhe¾ 

MktÏÞk MktÏÞk MktÏÞk W{uŒðthtue xftðthe 

1992 {k[o 4,53,363 4,41,689 3,01,168 68.18 07-07-92 

1993 {k[o 4,76,265 4,65,820 2,62,404 56.33 02-07-93 

1994 {k[o 3,82,419 3,71,535 1,59,063 42.81 05-07-94 

1995 {k[o 4,85,076 4,71,832 2,37,584 50.34 13-07-95 

1996 {k[o 5,00,937 4,88,892 2,00,341 40.97 10-07-96 

1997 {k[o 5,20,714 5,09,164 2,04,576 40.17 12-06-97 

1998 {k[o 5,51,088 5,39,326 2,43,605 45.16 06-06-98 

1999 {k[o 5,60,615 5,47,067 3,05,266 55.80 07-06-99 

sw÷kE (Ãkqhf) 39,365 39,365 16,769 43.82 21-07-99 

2000 {k[o 6,01,273 5,86,559 3,44,347 58.70 29-05-00 

sw÷kE (Ãkqhf) 42,026 42,026 18,250 45.67 29-07-00 

2001 yur«÷-{u 6,41,770 6,30,416 4,42,230 68.91 10-06-01 

sw÷kE (Ãkqhf) 42,154 42,154 16,641 41.14 

2002 {k[o-yur«÷ 6,50,349 6,33,253 3,28,091 51.81 13-06-02 

sw÷kE (Ãkqhf) 27,743 13,268 50.08 

2003 {k[o 6,53,778 6,42,110 275927 42.97 16-06-03 

sw÷kE (Ãkqhf) 10,080 10,080 3,484 37.30 31-07-03 

2004 {k[o 6,46,872 6,34,120 3,34,099 52.69 12-06-04 

sw÷kE (Ãkqhf) 4,606 1,377 31.57 04-08-04 

2005 {k[o 6,71,949 6,61,680 3,71,747 56.18 31-05-05 

sw÷kE (Ãkqhf) 21,638 7,510 35.94 

2006 {k[o 7,51,176 7,42,521 4,28,543 57.71 01-06-06 

sw÷kE (Ãkqhf) 48,897 17,861 37.49 

2006 ykìõxkuçkh – 1,69,121 51,478 31.24 15-11-06 

2007 {k[o (New) 5,32,968 529129 3,73,839 70.65 31-05-07 

(Old) 1,26,672 123192 41,887 34.00 31-05-07 

sw÷kE (Ãkqhf) 28,292 10,955 40.82 

2008 {k[o 6,93,928 6,87,917 4,37,360 63.58 05-06-08 

2009 {k[o 7,73,986 7,68,042 4,33,387 56.43 04-06-09 

2010 {k[o 8,72,673 8,65,564 5,26,309 60.81 03-06-10 

2011 {k[o 9,54,058 9,36,485 6,65,492 71.06 02-06-11 

sw÷kE (Ãkqhf) 1,34,342 51,401 40.09 28-07-11 

2012 {k[o 9,26,115 9,10,362 6,29,083 69.10 02-06-12 

sw÷kE (Ãkqhf) 1,30,302 40,655 32.89 04-08-12 

2013 {k[o 9,80,404 96,6,114 6,29,140 65.12 13-06-2013 

sw÷kE (Ãkqhf) 1,76,490 1,27,949 59,992 46.89 31-7-2013 


ÃkheûkkLkwt {kMk LkkUÄkÞu÷k W…ÂMÚt‚ ËV¤ W…ÂMÚt‚ W{uŒðthtu Ãkrhýk{Lke 

ð»ko W{uËðkhkuLke W{uËðkhkuLke W{uËðkhkuLke …ife ËV¤ íkkhe¾ 

MktÏÞk MktÏÞk MktÏÞk W{uŒðthtue xftðthe 

2014 {k[o 976020 967958 618066 63.85 3-6-2014 

sw÷kE (Ãkqhf) 

2015 {k[o 1067607 1055267 569702 54.42 4-6-2015 

sw÷kE (Ãkqhf) 44952 40622 5839 14.37 25-7-2015 

2016 rÞr{‚ {k[o 791672 785987 527113 67.06 24-5-2016 

sw÷kE (Ãkqhf) 35620 32021 2699 8.43 25-7-2016 

2017 rÞr{Œ 779623 775013 528870 68.24 29-5-2017 

{k[o 

2017 sw÷kE 53289 49171 13620 27.70 31-7-2017 

Differently abled rðãtÚteoytue rð„‚ 

rðf÷tk„‚ttu «fth 

ËkÏÞt árüe ¾t{e {trËf ûtr‚ ©ðýe ¾t{e þtherhf ¾tuz¾tk…ý fw÷ 

(VI) (MR) (HI) (OH) 

tUÄtÞu÷t 1075 1852 1037 2051 6015 

W…ÂMÚt‚ 1066 1803 1018 2024 5911 

Ët{tLÞ he‚u ËV¤ 139 57 60 361 617 

rðf÷tk„‚ttu rðþu»t 

÷t¼ {u¤ðe ËV¤ 547 261 253 589 1650 

ËwÄthýtu yðftþ 376 1479 705 1074 3634 

…tË W{uŒðth 686 318 313 950 2267 

NCERT Pilot Project Result Highlight 

tUÄtÞu÷t W…ÂMÚt‚ ËV¤ …rhýt{e 

W{uŒðthtu W{uŒðthtu W{uŒðthtu xftðthe 

Ëwh‚ rËðtÞt rsÕ÷tytu 3857 3855 3657 94.86% 

Ëwh‚ rsÕ÷tu 2099 2096 1586 75.67% 

NCERT Pilot Project Subjectwise Result 

Subject tUÄtÞu÷t W…ÂMÚt‚ ËV¤ …rhýt{e 

W{uŒðthtu W{uŒðthtu W{uŒðthtu xftðthe 

ENGLISH FL OTHERS 3857 3855 3817 99.01% 

SCI. & TECH. OTHERS 3857 3855 3742 97.07& 

MATHEMATICS OTHERS 3855 3853 3655 94.86% 

ENGLISH FL SURAT 2099 2096 2061 98.33% 

SCI. & TECH. SURAT 2099 2096 2651 78.77% 

MATHEMATICS SURAT 2099 2096 1608 76.72% 


{kæÞr{f þk¤ktík «{kýÃkºk Ãkheûkk{kt LkkUÄkÞu÷k økuhheríkLkk rfMMkkykuLke {krníke ({k[o-1991Úke) 

y.Lkt. ð»ko {rnLkku MktÏÞk {rnLkku MktÏÞk 

1. 1991 {k[o 929 ykìõxkuçkh 154 

2. 1992 {k[o 439 ykìõxkuçkh 153 

3. 1993 {k[o 1321 ykìõxkuçkh 108 

4. 1994 {k[o 1155 ykìõxkuçkh 44 

5. 1995 {k[o 165 ykìõxkuçkh 908 

6. 1996 {k[o 862 ykìõxkuçkh 228 

7. 1997 {k[o 386 ykìõxkuçkh 97 

8. 1998 {k[o 493 ykìõxkuçkh 133 

9. 1999 {k[o 491 sw÷kE 34 

10. 2000 {k[o 382 

11. 2001 yur«÷-{u 324 

12. 2002 {k[o-yur«÷ 385 

13. 2003 {k[o 3367 

14. 2004 {k[o 1467 

15. 2005 {k[o 353 

16. 2006 {k[o 324 ykìõxkuçkh 22 

17. 2007 {k[o 105 

18. 2008 {k[o 71 

19. 2009 {k[o 131 

20. 2010 {k[o 280 

21. 2011 {k[o 28 

22. 2012 {k[o 22 

23. 2013 {k[o 50 

24. 2014 {k[o 459 (68 „uhher‚ fuË + 391 fuË ðerzÞtu Vqxust ytÄthu) 

25. 2015 {k[o 2070 (392 „uhher‚ fuË + 1678 fuË ðerzÞtu Vqxust ytÄthu) 

26. 2016 {k[o 1116 (109 „uhher‚ fuË + 1007 fuË ðerzÞtu Vqxust ytÄthu) 

27. 2017 {k[o 1306 (108 „uhher‚ fuË + 1198 fuË ðerzÞtu Vqxust ytÄthu) 

28. 2018 {k[o 2011 (105 „uhher‚ fuË + 1231 fuË ðerzÞtu Vqxust ytÄthu 

‚Útt 675 yLÞ) 

ËwÄthýtu yðftþ Ähtð‚t rðãtÚteoytue ËkÏÞt 

yuf Úte …tk[ rð»tÞ{tk ËwÄthýtu yðftþ 

rð»tÞ yuf ƒu ºtý [th …tk[ A 

fw÷ rðãtÚteoytue 33270 78875 126498 104267 77428 83199 

ËkÏÞt (Overall) 

‚u …ife rÞr{‚ 

rðãtÚteoytue ËkÏÞt 9874 27708 61246 59196 46944 51858 

(Regular) 

10 {k[o-2018 S.S.C.

sÕ÷t «{týu …rhýt{rËrØwk rððhý (rÞr{‚ W{uŒðth) 

rsÕ÷twk t{ tUÄtÞu÷ W…ÂMÚt‚ A-1 A-2 B-1 B-2 C-1 C-2 D E1 E2 EQC PER. 

ËkÏÞt ËkÏÞt 

AHMEDABAD CITY 51856 51665 485 3086 5863 8968 11094 7448 470 2682 11569 37414 72.42% 

AHMEDABAD RURAL 37854 37633 323 1999 3944 6190 8086 5681 408 1984 9018 26632 70.77% 

AMRELI 18430 18340 70 614 1760 3460 4097 1915 98 1071 5255 12014 65.51% 

ANAND 27397 27143 146 841 1683 3253 5327 4701 423 2745 8024 16376 60.33% 

ARAVALI 15496 15272 43 383 1017 2290 3427 1513 24 745 5830 8697 56.95% 

BANASKANTHA 39291 38956 129 774 2394 5727 9817 6910 294 1933 10978 26045 66.86% 

BHARUCH 19928 19810 148 781 1707 3090 4627 3318 224 1156 4759 13895 70.14% 

BHAVNAGAR 33237 33097 337 1565 3151 5573 7412 4580 275 2091 8113 22893 69.17% 

BOTAD 9371 9335 41 332 789 1420 2196 1530 77 544 2406 6385 68.40% 

CHHOTA UDEPUR 9647 9593 3 38 211 899 1898 1572 85 828 4059 4706 49.06% 

DAHOD 27209 26824 33 161 426 1339 3839 4036 184 2390 14416 10018 37.35% 

DANGS 2741 2665 1 12 75 349 726 689 80 201 532 1932 72.50% 

DEVBHUMI DWARKA 8148 8102 33 280 920 1754 1977 805 32 340 1961 5801 71.60% 

GANDHINAGAR 23008 22867 191 1048 2267 3685 5197 3446 224 1222 5587 16059 70.23% 

GIR SOMNATH 17738 17664 45 514 2081 3917 4002 1588 69 833 4615 12216 69.16% 

JAMNAGAR 16583 16504 246 1015 1836 3150 3607 1827 83 731 4009 11764 71.28% 

JUNAGADH 24237 24203 255 1639 4161 5868 5125 1826 85 669 4575 18959 78.33% 

KHEDA 24547 24255 136 559 1315 3018 4977 3881 247 1926 8196 14134 58.27% 

KUTCHH 21930 21757 93 704 1675 3277 5031 3758 320 1519 5380 14859 68.30% 

MAHISAGAR 14399 14296 39 209 603 1432 2751 1906 43 1146 6167 6983 48.85% 

MEHSANA 29581 29358 162 1183 2763 4797 6848 4860 302 1281 7162 20916 71.24% 

MORBI 12312 12235 160 828 1593 2423 2656 1295 49 466 2765 9004 73.59% 

NARMADA 6659 6588 5 75 204 692 1591 1341 97 570 2013 4005 60.79% 

NAVSARI 19114 18976 184 805 1597 2860 4316 3412 227 1081 4494 13404 70.64% 

PANCHMAHAL 21647 21470 44 310 867 2478 4794 3853 193 1402 7529 12540 58.41% 

PATAN 17451 17260 86 418 1034 2292 3949 2783 146 1032 5520 10708 62.04% 

PORBANDAR 7313 7262 18 173 616 1167 1598 952 37 590 2111 4561 62.81% 

RAJKOT 44089 43969 996 3539 6354 9161 9342 3780 208 1504 9085 33380 75.92% 

SABARKANTHA 18951 18714 70 606 1334 2524 3938 2677 104 950 6511 11253 60.13% 

SURAT 80380 80053 1233 5889 11202 16604 18162 10244 754 3051 12914 64089 80.06% 

SURENDRANAGAR 17720 17607 157 741 1540 2887 4036 2440 130 901 4775 11931 67.76% 

TAPI 9141 9005 3 77 277 877 1899 1966 157 801 2948 5256 58.37% 

VADODARA 39063 38931 382 1985 3528 5736 7720 5920 422 3138 10100 25693 66.00% 

VALSAD 22485 22285 74 632 1625 3169 4932 4137 269 1069 6378 14838 66.58% 

DIV 873 871 1 14 47 126 198 100 0 35 350 486 55.80% 

DAMAN 1772 1772 5 83 134 283 415 313 20 81 438 1253 70.71% 

DADARA NAGAR 3930 3903 1 44 146 375 743 929 77 253 1335 2315 59.31% 

HAVELI 

EQC = Eligible for Qualifying Certificate 


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rsÕ÷twk t{ 

rððhý 

PERCENTILE huLfwk 

DISTRIBUTION 

…ËoLxtR÷ 

huLf 

rðãtÚteoytue 

ËkÏÞt 

above99 8429 

above98 16853 

above97 24874 

above96 33893 

above96 42070 

above94 50303 

above92 67346 

above90 84844 

above85 126595 

above80 169071 

above75 212510 

above70 253430 

above65 295379 

above60 336189 

above55 377635 

above40 480198 

above30 522488 

above20 534988 

above0 852090 

rsÕ÷tðth …rhýt{ (W‚h‚t ¢{{tk) 

(rÞr{‚ W{uŒðth) 

¢{ ftuz rsÕ÷tu 2018 2017 2016 

1. 68 SURAT 80.06% 79.27% 80.91% 

2. 57 JUNAGADH 78.33% 75.68% 76.54% 

3. 64 RAJKOT 75.92% 74.24% 77.74% 

4. 86 MORBI 73.59% 71.17% 73.39% 

5. 58 DANGS 72.50% 56.55% 55.09% 

6. 50 AHMEDABAD CITY 72.42% 71.52% 72.94% 

7. 83 DEVBHUMI DWARKA 71.60% 69.65% 70.02% 

8. 56 JAMNAGAR 71.28% 67.78% 71.16% 

9. 63 MEHSANA 71.24% 67.18% 67.26% 

10. 51 AHMEDABAD RURAL 70.77% 70.13% 69.68% 

11. 71 DAMAN 70.71% 61.64% 72.62% 

12. 78 NAVSARI 70.64% 68.68% 66.20% 

13. 55 GANDHINAGAR 70.23% 71.71% 68.89% 

14. 61 BHARUCH 70.14% 69.91% 64.20% 

15. 62 BHAVNAGAR 69.17% 65.03% 65.95% 

16. 84 GIR SOMNATH 69.16% 64.15% 72.85% 

17. 81 BOTAD 68.40% 69.85% 67.11% 

18. 53 KUTCHH 68.30% 68.16% 71.40% 

19. 69 SURENDRANAGAR 67.76% 66.75% 64.30% 

20. 60 BANASKANTHA 66.86% 64.99% 59.23% 

21. 66 VALSAD 66.58% 64.78% 61.61% 

22. 65 VADODARA 66.00% 66.32% 66.85% 

23. 52 AMRELI 65.51% 58.90% 61.15% 

24. 74 PORBANDAR 62.81% 57.77% 66.81% 

25. 77 PATAN 62.04% 55.25% 49.56% 

26. 76 NARMADA 60.79% 46.90% 45.30% 

27. 73 ANAND 60.33% 61.51% 54.59% 

28. 67 SABARKANTHA 60.13% 56.98% 56.04% 

29. 72 DADARA NAGAR HAVELI 59.31% 42.37% 44.11% 

30. 59 PANCHMAHAL 58.41% 70.60% 63.29% 

31. 79 TAPI 58.37% 65.21% 65.74% 

32. 54 KHEDA 58.27% 56.80% 48.84% 

33. 80 ARAVALI 56.95% 66.52% 63.66% 

34. 70 DIV 55.80% 50.36% 52.57% 

35. 82 CHHOTA UDEPUR 49.06% 62.47% 66.35% 

36. 85 MAHISAGAR 48.85% 74.58% 66.00% 

37. 75 DAHOD 37.35% 76.39% 63.36% 


sÕ÷t «{týu …rhýt{wk rððhý (rÞr{‚ W{uŒðthtu ytÄtrh‚) 

rsÕ÷twk t{ 0% …rhýt{ðt¤e 100% {n¥t{ …rhýt{ðt¤e 30%Úte ytuAt …rhýt{ðt¤e 

þt¤tytue ËkÏÞt þt¤tytue ËkÏÞt þt¤tytue ËkÏÞt 

{t[o-2018e {t[o-2017e ‚Vtð‚ {t[o-2018e {t[o-2017e ‚Vtð‚ {t[o-2018e {t[o-2017e ‚Vtð‚ 

ËkÏÞt ËkÏÞt ËkÏÞt ËkÏÞt ËkÏÞt ËkÏÞt 

AHMEDABAD CITY 2 2 0 15 26 -11 33 50 -17 

AHMEDABAD RURAL 3 4 -1 26 32 -6 35 35 0 

AMRELI 5 7 -2 9 11 -2 22 40 -18 

ANAND 1 1 0 9 8 1 40 40 0 

ARAVALI 1 1 0 8 13 -5 36 31 5 

BANASKANTHA 5 6 -1 15 14 1 41 42 -1 

BHARUCH 0 0 0 16 21 -5 13 18 -5 

BHAVNAGAR 6 3 3 10 11 -1 25 47 -22 

BOTAD 1 0 1 0 2 -2 9 11 -2 

CHHOTA UDEPUR 4 2 2 2 9 -7 38 15 23 

DAHOD 31 1 30 0 2 -2 139 9 130 

DANGS 1 1 0 1 31 -30 4 10 -6 

DEVBHUMI DWARKA 2 5 -3 7 9 -2 13 34 -21 

GANDHINAGAR 1 3 -2 20 14 6 12 30 -18 

GIR SOMNATH 5 1 4 6 4 2 21 63 -42 

JAMNAGAR 7 2 5 9 19 -10 31 26 5 

JUNAGADH 1 1 0 21 13 8 14 10 4 

KHEDA 2 3 -1 5 13 -8 45 15 30 

KUTCHH 3 1 2 10 4 6 39 20 19 

MAHISAGAR 4 2 2 4 5 -1 65 37 28 

MEHSANA 4 1 3 14 10 4 9 7 2 

MORBI 3 2 1 5 12 -7 18 18 0 

NARMADA 1 4 -3 7 2 5 12 41 -29 

NAVSARI 0 0 0 17 1 16 4 16 -12 

PANCHMAHAL 2 7 -5 5 38 -33 42 53 -11 

PATAN 2 8 -6 2 5 -3 29 51 -22 

PORBANDAR 1 2 -1 0 49 -49 11 12 -1 

RAJKOT 6 2 4 39 10 29 36 29 7 

SABARKANTHA 7 2 5 7 2 5 43 7 36 

SURAT 1 11 -10 37 12 25 14 43 -29 

SURENDRANAGAR 1 3 -2 12 19 -7 25 36 -11 

TAPI 1 0 1 1 0 1 8 2 6 

VADODARA 7 0 7 12 3 9 48 5 43 

VALSAD 5 1 4 16 2 14 37 7 30 

DIV 0 3 -3 1 6 -5 0 35 -35 

DAMAN 0 2 -2 0 6 -6 0 17 -17 

DADARA NAGAR 1 4 -3 0 13 -13 1 9 -8 

HAVELI 

Total 127 98 29 368 451 -83 1012 971 41 


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Ãkrhýk{Lkk xfk 

LkkUÄkÞu÷k WÃkÂMÚkík EQC 2018 2017 íkVkðík 

50 - AHMEDABAD CITY 

001 ASHRAM ROAD, AHD 771 770 655 85.06% 85.04% 0.03% 

002 ASARVA, AHD 906 904 595 65.82% 57.63% 8.19% 

003 ELLISBRIDGE, AHD 1609 1606 1436 89.41% 85.54% 3.87% 

004 AMRAIWADI, AHD 2117 2098 1355 64.59% 62.47% 2.12% 

005 BAPUNAGAR, AHD 5061 5049 3562 70.55% 68.80% 1.74% 

006 GHEE KANTA, AHD 1276 1270 905 71.26% 74.06% -2.80% 

007 GOMTIPUR, AHD 1089 1078 597 55.38% 45.66% 9.72% 

008 KUBERNAGAR, AHD 940 940 695 73.94% 76.79% -2.85% 

009 MANINAGAR, AHD 3020 3006 2494 82.97% 85.27% -2.31% 

010 NARODA, AHD 4102 4091 3020 73.82% 73.02% 0.80% 

011 NARANPURA, AHD 1052 1043 903 86.58% 88.62% -2.04% 

012 SABARMATI, AHD 1231 1229 937 76.24% 76.10% 0.14% 

013 PALDI, (VASNA) AHD 1962 1957 1503 76.80% 78.86% -2.06% 

014 KANKARIYA, AHD 868 868 816 94.01% 94.52% -0.51% 

015 RAYKHAD, AHD 1004 999 653 65.37% 60.65% 4.72% 

016 ODHAV, AHD 2475 2457 1787 72.73% 66.27% 6.46% 

017 KHOKHARA, AHD 1885 1877 1516 80.77% 80.64% 0.12% 

018 SHAHIBAG, AHD 1174 1174 969 82.54% 85.49% -2.95% 

019 VADAJ, AHD 1228 1227 941 76.69% 74.13% 2.57% 

020 VATVA, AHD 2398 2387 1519 63.64% 64.29% -0.66% 

021 MEGHANINAGAR, AHD 1446 1443 914 63.34% 58.51% 4.83% 

022 SHAHPUR, AHD 1040 1039 546 52.55% 44.94% 7.61% 

023 RAKHIAL, AHD 1066 1060 766 72.26% 72.04% 0.22% 

024 KALUPUR, AHD 332 332 184 55.42% 51.42% 4.00% 

025 DELHI CHAKLA, AHD 567 565 516 91.33% 89.56% 1.77% 

026 DARIYAPUR, AHD 535 534 340 63.67% 71.86% -8.19% 

027 SARASPUR, AHD 879 870 509 58.51% 52.68% 5.83% 

028 SADARNAGAR, AHD 959 957 602 62.90% 71.47% -8.57% 

029 ISANPUR, AHD 2758 2748 1893 68.89% 70.27% -1.38% 

030 SAIJPUR, AHD 451 450 345 76.67% 81.18% -4.51% 

031 NAVRANGPURA, AHD 195 193 161 83.42% 92.65% -9.23% 

032 SOLA ROAD, AHD 637 636 452 71.07% 71.69% -0.62% 

033 RAIPUR, AHD 379 371 196 52.83% 45.97% 6.86% 

034 JAMALPUR, AHD 984 983 691 70.30% 64.62% 5.68% 

035 DANI LIMDA, AHD 1363 1359 777 57.17% 62.35% -5.18% 

036 C.T.M. 1123 1122 706 62.92% 67.06% -4.14% 

281 NCERT AHMEDABAD CITY-1 (#) 337 337 318 94.36% – – 



51 - AHMEDABAD RURCL 

046 RANIP, AHD (RURAL) 2037 2033 1593 78.36% 76.81% 1.54% 

047 JIVRAJ PARK, AHD 1978 1963 1309 66.68% 68.53% -1.84% 

048 D-CABIN, SABARMATI,AHD 501 491 324 65.99% 68.68% -2.69% 



Lkk{ 





049 MEMNAGAR, AHD 1773 1766 1423 80.58% 88.64% -8.07% 

050 GHATLODIYA, AHD 3977 3953 3023 76.47% 77.06% -0.58% 

051 BAVLA 1282 1275 742 58.20% 53.89% 4.31% 

052 DHANDHUKA 1529 1526 1053 69.00% 66.44% 2.57% 

053 DHOLKA 2392 2371 1490 62.84% 60.83% 2.01% 

054 SANAND 1639 1627 948 58.27% 57.72% 0.54% 

055 VIRAMGAM 1779 1758 972 55.29% 55.58% -0.29% 

056 KANBHA 402 397 316 79.60% 78.39% 1.21% 

057 MANDAL 761 729 343 47.05% 42.93% 4.12% 

058 JODHPUR(AHD) 1448 1447 1184 81.82% 81.48% 0.35% 

059 BOPAL 920 916 746 81.44% 81.68% -0.24% 

060 DETROJ 412 411 199 48.42% 44.14% 4.28% 

061 ADINATHNAGAR, AHD 972 966 624 64.60% 62.17% 2.43% 

062 VASTRAL, AHD 2562 2548 2060 80.85% 78.52% 2.33% 

063 HIRAPURA 506 503 201 39.96% 37.50% 2.46% 

064 NAVA NARODA, AHD 2942 2939 2483 84.48% 82.16% 2.33% 

065 SARKHEJ 2597 2592 1605 61.92% 62.38% -0.46% 

066 JETALPUR, AHD 692 683 457 66.91% 57.08% 9.83% 

067 KATOSAN RD 287 279 147 52.69% 60.89% -8.20% 

068 KHODA 464 463 335 72.35% 66.59% 5.76% 

069 NAVA NARODA-1, AHD 721 717 542 75.59% 72.33% 3.26% 

070 DALOD 111 111 51 45.95% 56.68% -10.73% 

071 BHUVALDI (*) 509 509 402 78.98% 86.10% -7.12% 

072 BAREJA (*) 639 638 424 66.46% 68.21% -1.76% 

073 KOTH (^) 424 421 273 64.85% 67.92% -3.08% 

074 FEDRA (#) 221 221 147 66.52% – – 

075 DHAMTAWAN (#) 275 265 167 63.02% – – 

284 NCERT AHMEDABAD RURAL-1 (#)573 573 530 92.50% – – 

285 NCERT AHMEDABAD RURAL-2 (#)590 590 571 96.78% – – 

52 - AMRELI 

701 AMRELI 2853 2850 2121 74.42% 67.15% 7.27% 

702 BAGSARA 799 799 608 76.10% 68.94% 7.15% 

703 DHARI 849 848 502 59.20% 50.17% 9.03% 

704 KUNKAVAV 293 293 212 72.35% 65.60% 6.75% 

705 LATHI 680 678 453 66.81% 67.44% -0.63% 

706 RAJULA 1381 1377 741 53.81% 51.24% 2.58% 

707 SAVARKUNDLA 1453 1448 816 56.35% 55.36% 0.99% 

708 CHALALA 579 578 388 67.13% 61.37% 5.76% 

709 BABRA 831 826 490 59.32% 43.25% 16.08% 

710 VADIYA 330 330 217 65.76% 57.41% 8.34% 

711 LILAYA MOTA 573 563 451 80.11% 63.68% 16.43% 

712 KHAMBHA 431 428 209 48.83% 46.69% 2.14% 

713 MOTA UJALA 145 145 117 80.69% 73.61% 7.08% 

714 DAMNAGAR 605 604 472 78.15% 64.92% 13.23% 

715 JAFRABAD 964 958 482 50.31% 33.21% 17.11% 

716 BADHADA 299 295 220 74.58% 35.06% 39.52% 



Lkk{ 





717 CHITTAL 327 327 222 67.89% 57.69% 10.20% 

718 JALIYA 698 698 642 91.98% 90.66% 1.32% 

719 JESANGPARA 456 456 436 95.61% 95.28% 0.34% 

720 OLIYA 125 119 34 28.57% 65.24% -36.67% 

721 PITHVADI 245 242 121 50.00% 31.39% 18.61% 

722 HADALA 256 255 216 84.71% 87.50% -2.79% 

723 MOTA ANKADIYA 270 270 203 75.19% 68.70% 6.49% 

724 TIMBI 373 369 153 41.46% 41.53% -0.07% 

725 DEVKA (%) 774 766 381 49.74% 37.46% 12.28% 

726 MOTA DEVALIYA (%) 293 293 230 78.50% 83.96% -5.46% 

727 VIJPADI 462 459 208 45.32% 60.59% -15.28% 

728 VANDA 293 284 116 40.85% 27.71% 13.13% 

729 DEDAN (&) 397 392 280 71.43% 75.83% -4.40% 

730 DUDHALA (&) 211 211 181 85.78% 75.00% 10.78% 

731 KARIYANA (#) 231 225 116 51.56% – – 

73 - ANAND 

297 NCERT ANAND-1 (#) 81 81 69 85.19% – – 

571 ANAND 3245 3231 2134 66.05% 66.39% -0.35% 

572 ANKALAV 566 555 348 62.70% 60.88% 1.82% 

574 BORSAD 1326 1322 809 61.20% 61.56% -0.36% 

575 KHAMBHAT 1638 1617 1089 67.35% 65.54% 1.80% 

576 NAR 475 475 264 55.58% 50.59% 4.99% 

577 PETLAD 1707 1700 988 58.12% 66.59% -8.47% 

578 SARSA 934 913 380 41.62% 45.03% -3.41% 

579 UMRETH 935 923 467 50.60% 46.18% 4.42% 

580 VALLABH VIDHYANAGAR 1659 1659 1319 79.51% 79.46% 0.05% 

581 BHADRAN 493 489 237 48.47% 58.28% -9.82% 

582 VASAD 713 709 298 42.03% 41.77% 0.26% 

583 CHANGA 164 163 113 69.33% 71.97% -2.64% 

584 KARAMSAD 944 937 328 35.01% 60.08% -25.07% 

585 MOGAR 259 251 98 39.04% 31.48% 7.57% 

586 ASODAR 478 475 393 82.74% 89.29% -6.55% 

587 TARAPUR 788 776 414 53.35% 56.65% -3.30% 

588 UNDEL 529 516 242 46.90% 51.41% -4.51% 

589 SOJITRA 727 712 376 52.81% 49.75% 3.06% 

590 OAD 678 668 319 47.75% 29.52% 18.23% 

591 NAVLI 254 254 164 64.57% 61.42% 3.14% 

592 ALARSA 715 707 538 76.10% 82.43% -6.34% 

593 DAHEVAN 956 941 536 56.96% 55.38% 1.59% 

594 BOCHASAN 650 643 479 74.49% 66.61% 7.88% 

595 BORIAVI 276 276 159 57.61% 71.76% -14.15% 

596 JALUNDH 529 521 314 60.27% 61.78% -1.51% 

597 SUNAV 543 533 306 57.41% 82.30% -24.89% 

598 JINAJ 372 368 224 60.87% 38.19% 22.68% 

599 RAS 416 415 251 60.48% 53.70% 6.78% 

600 BILPAD (%) 743 741 462 62.35% 84.03% -21.68% 



Lkk{ 





601 SAMARKHA (&) 704 692 258 37.28% 34.89% 2.39% 

602 THAMNA (&) 575 575 466 81.04% 90.93% -9.89% 

603 SAYMA (&) 240 238 158 66.39% 38.89% 27.50% 

605 NAPAD (&) 283 280 201 71.79% 88.49% -16.70% 

965 MAHELAV (&) 330 330 238 72.12% 83.56% -11.44% 

971 ADAS (^) 310 307 148 48.21% 82.13% -33.92% 

972 KOSINDRA (^) 360 359 254 70.75% 70.11% 0.64% 

973 SHILI (^) 325 320 219 68.44% 57.30% 11.14% 

985 BHETASI (#) 325 324 242 74.69% – – 

986 DHUVARAN (#) 403 395 145 36.71% – – 

987 INDRANAJ (#) 327 321 249 77.57% – – 

80 - ARAVALI 

216 AMBALIYARA 320 318 179 56.29% 66.28% -9.99% 

217 BAYAD 1019 1006 507 50.40% 73.54% -23.14% 

218 BHILODA 1420 1402 692 49.36% 49.87% -0.51% 

219 DHANSURA 538 529 249 47.07% 53.51% -6.44% 

220 GABAT 517 508 164 32.28% 64.90% -32.61% 

221 MEGHRAJ 487 483 338 69.98% 57.70% 12.28% 

222 MODASA 2133 2123 1564 73.67% 69.32% 4.35% 

223 MALPUR 1028 1009 537 53.22% 71.40% -18.18% 

224 SARDOI 480 472 299 63.35% 72.61% -9.26% 

225 SATHAMBA 661 656 252 38.41% 81.75% -43.33% 

226 SHAMLAJI 1622 1601 954 59.59% 68.57% -8.98% 

227 TINTOI 244 241 180 74.69% 39.58% 35.11% 

228 JITPUR (BAYAD) 322 318 249 78.30% 79.62% -1.32% 

229 SHINOL 397 385 168 43.64% 52.74% -9.10% 

231 ISARI 566 555 328 59.10% 67.83% -8.73% 

232 BOROL 504 500 384 76.80% 87.17% -10.37% 

233 VANKANER (ARV) 566 560 314 56.07% 72.50% -16.42% 

234 AKRUND 345 335 144 42.99% 41.49% 1.49% 

235 RELAVADA 591 587 263 44.80% 87.64% -42.83% 

236 KASANA 490 461 265 57.48% 81.03% -23.55% 

237 RAMGADHI 454 436 215 49.31% 76.99% -27.68% 

238 DACHKABEL (*) 254 254 128 50.39% 71.04% -20.65% 

240 JITPUR (MODASA) (#) 306 305 190 62.30% – – 

298 NCERT ARAVALI (MODASA)-1 (#) 26 26 26 100.00% – – 

60 - BANASKANTHA 

106 AMBAJI 452 445 333 74.83% 65.53% 9.30% 

107 DEESA 3560 3538 2440 68.97% 71.09% -2.12% 

108 PALANPUR 4799 4780 3899 81.57% 81.02% 0.55% 

109 THARAD 2490 2461 1411 57.33% 59.35% -2.01% 

110 VADGAM 757 749 505 67.42% 70.78% -3.35% 

111 THARA 1131 1125 598 53.16% 52.85% 0.31% 

112 BHABHAR 1563 1544 745 48.25% 54.48% -6.23% 

113 DEODAR 1280 1269 917 72.26% 62.58% 9.68% 

114 DHANERA 1970 1965 1219 62.04% 61.01% 1.03% 



Lkk{ 





115 CHHAPI 720 718 437 60.86% 54.13% 6.74% 

116 DANTA 658 656 529 80.64% 70.92% 9.72% 

117 VAV 677 674 336 49.85% 38.47% 11.38% 

118 MEMADPUR 459 456 323 70.83% 52.67% 18.16% 

119 SHIHORI 700 699 327 46.78% 53.30% -6.52% 

120 AMIRGADH 707 702 532 75.78% 65.81% 9.97% 

121 CHANDISAR 490 489 330 67.48% 60.49% 7.00% 

122 GADH 818 813 520 63.96% 64.42% -0.46% 

123 MALAN 366 362 248 68.51% 54.19% 14.32% 

124 KANODAR 836 835 608 72.81% 80.84% -8.02% 

125 SANALI 410 406 182 44.83% 53.08% -8.25% 

126 PANTHAWADA 870 861 633 73.52% 66.61% 6.91% 

127 SUIGAM 267 265 140 52.83% 56.79% -3.96% 

128 TAKARWADA 491 490 428 87.35% 71.72% 15.63% 

129 GOLA 510 508 390 76.77% 73.55% 3.22% 

130 NAVA VAS 235 233 167 71.67% 72.38% -0.71% 

131 RAMPURA 611 607 386 63.59% 61.94% 1.65% 

132 TADAV 657 650 398 61.23% 77.76% -16.52% 

133 SARDAR KRUSHINAGAR 726 715 331 46.29% 45.68% 0.61% 

134 LAKHANI 503 497 361 72.64% 58.87% 13.77% 

135 NAROLI 539 526 263 50.00% 54.68% -4.68% 

136 TETODA 502 500 300 60.00% 60.93% -0.93% 

137 JADIYA 609 603 322 53.40% 59.10% -5.70% 

138 LAVANA 484 480 295 61.46% 90.61% -29.15% 

139 TIRTHGAM (*) 415 415 219 52.77% 61.71% -8.94% 

140 JUNA DEESA (*) 424 419 304 72.55% 38.59% 33.96% 

141 SONI (*) 339 337 243 72.11% 84.66% -12.56% 

142 BHILDI (%) 694 680 434 63.82% 67.79% -3.97% 

143 GANGOL (%) 353 350 317 90.57% 89.49% 1.08% 

144 TUNDIYA (%) 462 459 385 83.88% 59.24% 24.64% 

145 KUNVARSI (&) 389 381 314 82.41% 66.67% 15.75% 

288 NCERT BANASKANTHA-1 (#) 100 100 100 100.00% – – 

951 MORIYA (&) 284 281 166 59.07% 52.60% 6.48% 

952 MALGADH (&) 264 262 176 67.18% 73.28% -6.10% 

953 HADAD (&) 309 301 177 58.80% 42.47% 16.33% 

954 PILUCHA (&) 382 382 288 75.39% 70.08% 5.32% 

955 KHODA (&) 384 379 333 87.86% 90.94% -3.07% 

956 IKBALGADH (&) 392 380 254 66.84% 61.46% 5.38% 

957 KOTDA (&) 239 233 183 78.54% 54.55% 24.00% 

958 JASARA (&) 273 271 213 78.60% 72.03% 6.57% 

976 KHODA(THARAD) (^) 300 298 175 58.72% 57.95% 0.78% 

977 KAMBOI (^) 236 233 173 74.25% 71.82% 2.43% 

978 UNN (^) 305 290 188 64.83% 61.89% 2.94% 

979 RAJPUR (^) 158 157 99 63.06% 46.70% 16.35% 

982 CHIBHADA (#) 328 317 219 69.09% – – 

983 BAPLA (#) 277 276 159 57.61% – – 



Lkk{ 





61 - BHARUCH 

401 AMOD 359 359 152 42.34% 37.56% 4.78% 

402 ANKLESHWAR 766 764 602 78.80% 77.81% 0.99% 

403 G.I.D.C. ANKLESHWAR 1228 1228 1039 84.61% 86.64% -2.03% 

404 ANKLESHWAR-2 884 881 714 81.04% 83.92% -2.87% 

405 ANKLESHWAR-3 1037 1028 523 50.88% 50.59% 0.29% 

406 BHARUCH 633 631 398 63.07% 59.05% 4.02% 

407 BHARUCH-2 905 901 642 71.25% 62.23% 9.02% 

408 BHARUCH-3 1399 1394 1107 79.41% 80.32% -0.91% 

409 BHARUCH-4 1344 1330 1098 82.56% 83.83% -1.28% 

410 HANSOT 770 768 550 71.61% 49.66% 21.95% 

411 JAMBUSAR 1332 1327 937 70.61% 64.71% 5.90% 

412 JHAGADIA 697 688 369 53.63% 54.08% -0.45% 

413 PALEJ 202 201 127 63.18% 62.50% 0.68% 

414 VALIYA 715 702 340 48.43% 73.72% -25.28% 

415 NABIPUR 409 406 315 77.59% 81.44% -3.85% 

416 VAGRA 525 519 304 58.57% 47.18% 11.40% 

417 NETRANG 907 898 765 85.19% 80.84% 4.35% 

418 SAMLOD 287 280 194 69.29% 73.48% -4.19% 

419 TANKARIYA 496 495 363 73.33% 81.99% -8.66% 

420 KARMAD 535 535 425 79.44% 78.12% 1.32% 

421 NAHIYER 279 279 170 60.93% 56.21% 4.73% 

422 RAJPARDI 706 704 302 42.90% 44.52% -1.63% 

423 DAHEJ 283 283 248 87.63% 78.01% 9.62% 

424 SHUKALTIRTH 308 307 215 70.03% 91.27% -21.23% 

425 TRALSA 281 281 190 67.62% 72.96% -5.35% 

426 DARIA 308 302 214 70.86% 77.10% -6.24% 

427 DAHELI (*) 356 353 276 78.19% 87.43% -9.24% 

428 JAGESHWAR (*) 205 204 183 89.71% 92.59% -2.89% 

429 ANDADA(GADKHOL) (%) 537 535 372 69.53% 65.59% 3.94% 

430 NAHER (%) 484 484 267 55.17% 63.04% -7.87% 

964 THAVA (&) 409 401 336 83.79% 93.87% -10.08% 

984 GAJERA (#) 327 327 136 41.59% – – 

62 - BHAVNAGAR 

841 BHAVNAGAR (WEST) 1706 1689 1036 61.34% 54.00% 7.34% 

842 KRUSHNANAGAR BHAVNAGAR 6643 6628 5403 81.52% 77.89% 3.63% 

843 MAHUVA BHAVNAGAR 3691 3686 2149 58.30% 57.36% 0.94% 

844 PALITANA 2116 2110 1248 59.15% 57.88% 1.27% 

845 SHIHOR 1544 1539 1149 74.66% 59.53% 15.13% 

846 GARIYADHAR 1154 1147 742 64.69% 62.69% 2.00% 

847 BHAVNAGAR (EAST) 2866 2857 2109 73.82% 70.31% 3.51% 

848 TALAJA 1277 1271 957 75.30% 63.27% 12.03% 

849 VALLABHIPUR 716 708 452 63.84% 48.09% 15.75% 

850 UMRALA 504 503 357 70.97% 60.52% 10.46% 

851 SATHARA 586 578 353 61.07% 80.40% -19.33% 

852 VALUKAD (G.G.) 514 514 353 68.68% 62.90% 5.77% 



Lkk{ 





853 SONGADH 596 594 383 64.48% 75.21% -10.73% 

854 VALUKAD (PALITANA) 706 704 468 66.48% 63.67% 2.80% 

855 RANGHOLA 539 535 379 70.84% 78.86% -8.02% 

856 BHUMBHALI 611 609 350 57.47% 65.06% -7.59% 

857 MOTI PANIYARI 230 230 133 57.83% 40.00% 17.83% 

858 RAJPARA 223 221 140 63.35% 48.92% 14.43% 

859 TANA 673 669 302 45.14% 45.32% -0.17% 

860 BAGDANA 527 526 348 66.16% 62.67% 3.49% 

861 SANOSARA 283 282 207 73.40% 53.04% 20.37% 

862 THADACH 667 667 443 66.42% 58.03% 8.38% 

863 GHOGHA 228 228 103 45.18% 59.90% -14.73% 

864 BAPADA 397 396 360 90.91% 84.83% 6.08% 

865 UNCHADI (PITHALPUR) 642 630 449 71.27% 72.62% -1.35% 

866 DIHOR 356 355 267 75.21% 85.08% -9.87% 

867 TIMANA 544 543 432 79.56% 82.09% -2.53% 

868 HAJIPAR (%) 546 539 376 69.76% 48.81% 20.95% 

869 KODIYAK (%) 433 433 277 63.97% 48.83% 15.15% 

871 MOTI ASARNA 365 365 332 90.96% 68.57% 22.39% 

872 JESAR (@) 502 499 309 61.92% 57.11% 4.81% 

873 TALGAJARDA (^) 195 190 118 62.11% 39.90% 22.21% 

874 SOSIYA (^) 350 348 267 76.72% 65.12% 11.60% 

875 MOTA KHUNTWADA (#) 304 304 142 46.71% – – 

81 - BOTAD 

876 BARWADA GELASA 660 654 325 49.69% 48.38% 1.32% 

877 RANPUR 955 951 543 57.10% 61.30% -4.20% 

878 BOTAD 3086 3071 2133 69.46% 69.87% -0.41% 

879 GADHADA (SWAMINA) 973 969 596 61.51% 50.36% 11.14% 

880 DHASAGAM 724 719 628 87.34% 84.40% 2.94% 

881 LATHIDAD 968 968 791 81.71% 85.19% -3.47% 

882 TARDHARA (%) 819 819 597 72.89% 83.58% -10.69% 

883 TATAM (%) 592 590 388 65.76% 78.12% -12.36% 

884 UGAMEDI 315 314 174 55.41% 59.43% -4.02% 

885 SANKARDI (#) 328 328 218 66.46% – – 

82 - CHHOTA UDEPUR 

476 BODELI 1237 1228 608 49.51% 82.51% -33.00% 

477 CHHOTA UDEPUR 1282 1276 655 51.33% 50.46% 0.87% 

478 SANKHEDA 500 497 263 52.92% 77.43% -24.52% 

479 PAVI JETPUR 965 952 450 47.27% 76.17% -28.90% 

480 NASVADI 959 959 658 68.61% 84.99% -16.38% 

481 KWANT 1347 1341 525 39.15% 58.32% -19.17% 

482 CHALAMALI 353 350 124 35.43% 39.94% -4.51% 

483 TEJGADH 504 500 160 32.00% 60.36% -28.36% 

484 KASHIPURA 304 303 240 79.21% 72.33% 6.87% 

485 BHATPUR 250 248 139 56.05% 60.00% -3.95% 

486 BHIKHAPUR 594 593 224 37.77% 24.31% 13.46% 

487 BHESAVAHI 410 407 214 52.58% 34.99% 17.59% 



Lkk{ 





488 GADHBORIYAD (*) 159 159 108 67.92% 68.07% -0.15% 

489 ZOZ (%) 247 243 65 26.75% 50.52% -23.77% 

490 TANAKHLA (&) 371 369 246 66.67% 82.81% -16.14% 

974 BAHADARPUR (^) 354 354 127 35.88% 67.21% -31.34% 

75 - DAHOD 

606 DAHOD 1486 1485 1062 71.52% 75.57% -4.06% 

607 DEVGADH BARIA 1320 1316 659 50.08% 77.40% -27.32% 

608 JHALOD 1976 1966 321 16.33% 77.15% -60.82% 

609 PIPLOD 961 946 307 32.45% 86.39% -53.94% 

610 GARBADA 999 988 464 46.96% 78.95% -31.98% 

611 FATEPURA,DHD 1594 1579 333 21.09% 55.67% -34.58% 

612 LIMKHEDA 1695 1688 479 28.38% 80.32% -51.95% 

613 KANJETA 369 364 187 51.37% 76.63% -25.26% 

614 SINGVAD (RANDHIKPUR) 807 793 515 64.94% 83.79% -18.84% 

615 JESAVADA 791 780 338 43.33% 72.55% -29.21% 

616 RACHHARDA, DAHOD 681 673 400 59.44% 81.45% -22.02% 

617 SAGTALA 707 662 320 48.34% 61.73% -13.40% 

618 LIMDI (DAHOD) 2425 2352 282 11.99% 64.51% -52.52% 

619 SUKHSAR 1135 1113 66 5.93% 71.94% -66.01% 

620 SANJELI 1299 1289 488 37.86% 78.92% -41.06% 

621 GANGARDI 510 505 145 28.71% 79.09% -50.38% 

622 DUDHIYA 528 517 152 29.40% 86.64% -57.24% 

623 DASA 695 688 497 72.24% 88.87% -16.63% 

624 DHADHELA 612 597 196 32.83% 74.47% -41.64% 

625 PIPERO 1285 1278 798 62.44% 87.11% -24.67% 

626 KATWARA 787 773 441 57.05% 80.59% -23.54% 

627 UKARDI 973 940 512 54.47% 72.45% -17.98% 

628 ABHLOD 909 899 423 47.05% 87.39% -40.34% 

629 DAHOD-2 1313 1295 230 17.76% 71.88% -54.12% 

630 KARATH 536 515 46 8.93% 86.98% -78.05% 

631 KUWA (%) 433 429 191 44.52% 75.00% -30.48% 

633 RUVABARI MUVADA (^) 354 350 138 39.43% 74.71% -35.28% 

58 - DANG 

336 AHWA 681 661 441 66.72% 53.97% 12.75% 

337 VAGHAI 407 400 344 86.00% 66.53% 19.47% 

338 MALEGAO 465 450 321 71.33% 64.99% 6.35% 

339 SUBIR 325 307 182 59.28% 53.42% 5.86% 

340 SAPUTARA 453 452 372 82.30% 57.51% 24.79% 

962 PINPARI (&) 267 259 161 62.16% 44.20% 17.96% 

963 SAKAR PATAL (&) 143 136 111 81.62% 43.21% 38.41% 

83 - DEVBHUMI DWARKA 

781 BHANVAD 1374 1363 919 67.42% 64.88% 2.54% 

782 DWARKA 672 662 433 65.41% 59.75% 5.66% 

783 JAM RAVAL 747 746 538 72.12% 63.55% 8.57% 

784 KHAMBHALIYA 2676 2667 1898 71.17% 68.00% 3.17% 

785 MITHAPUR 466 466 309 66.31% 62.60% 3.71% 



Lkk{ 





786 BHATIYA 1134 1129 887 78.57% 82.76% -4.20% 

787 KALYANPUR 249 247 201 81.38% 67.91% 13.47% 

788 NANDANA 620 617 538 87.20% 92.78% -5.58% 

789 VADINAR 365 359 167 46.52% 58.90% -12.39% 

55 - GANDHINAGAR 

076 NANDOL 459 450 331 73.56% 70.93% 2.63% 

077 DAHEGAM 1106 1100 803 73.00% 65.80% 7.20% 

078 RAKHIAL STATION 579 565 271 47.96% 52.31% -4.35% 

079 BAHIAL 431 431 322 74.71% 62.74% 11.97% 

080 SHERTHA 339 335 158 47.16% 40.75% 6.41% 

081 GANDHINAGAR 5323 5302 4293 80.97% 81.26% -0.29% 

082 CHHALA 599 592 385 65.03% 67.24% -2.20% 

083 JINDAVA 382 379 226 59.63% 72.14% -12.51% 

084 KALOL NG 2959 2941 2019 68.65% 71.43% -2.78% 

085 MANSA 787 786 528 67.18% 59.93% 7.25% 

086 ADALAJ 611 607 384 63.26% 72.29% -9.03% 

087 AJOL 395 392 257 65.56% 57.70% 7.86% 

088 DABHODA 524 524 362 69.08% 71.60% -2.52% 

089 SOJA 503 495 368 74.34% 34.38% 39.97% 

090 SARDHAV 427 424 257 60.61% 49.49% 11.13% 

091 KANIPUR 472 469 257 54.80% 71.28% -16.48% 

092 CHANDKHEDA 1633 1624 1256 77.34% 79.37% -2.03% 

093 KADJODRA 415 412 263 63.83% 94.16% -30.33% 

094 MAGHODI 296 293 178 60.75% 83.83% -23.08% 

095 LODRA 581 581 282 48.54% 53.26% -4.73% 

096 MUBARAKPUR 677 673 351 52.15% 78.90% -26.74% 

097 MOTERA 804 804 695 86.44% 84.83% 1.61% 

098 KHARNA 486 485 326 67.22% 77.01% -9.80% 

099 DELWADA 330 325 212 65.23% 56.70% 8.54% 

100 MOTI ADARAJ 452 448 260 58.04% 78.30% -20.27% 

101 VALAD 603 600 453 75.50% 85.22% -9.72% 

102 LAVARPUR (%) 297 296 215 72.64% 77.82% -5.18% 

103 CHHATRAL (%) 436 432 234 54.17% 55.35% -1.19% 

84 - GIR SOMNATH 

821 KODINAR 1560 1550 939 60.58% 43.50% 17.08% 

822 UNA 2522 2505 1452 57.96% 44.73% 13.24% 

823 VERAVAL 1852 1848 1161 62.82% 66.84% -4.02% 

824 TALALA (GIR) 2209 2207 1765 79.97% 76.85% 3.12% 

825 DIV 873 871 486 55.80% 50.36% 5.44% 

826 SUTRAPADA 1103 1103 840 76.16% 80.20% -4.05% 

827 DOLASA 587 587 381 64.91% 39.35% 25.56% 

828 PRABHAS PATAN 685 681 233 34.21% 63.91% -29.70% 

829 SIMAR 650 650 528 81.23% 79.05% 2.18% 

830 KHANDERI 481 481 453 94.18% 89.14% 5.04% 

831 SUPASI 619 618 584 94.50% 91.52% 2.98% 

832 PRANCHI 925 923 804 87.11% 87.97% -0.87% 



Lkk{ 





833 TAD 364 358 211 58.94% 57.58% 1.36% 

834 GORAKHMADI (*) 496 494 434 87.85% 88.06% -0.21% 

835 GIR(GADHADA) (*) 500 485 207 42.68% 28.50% 14.18% 

836 AAJOTHA (%) 308 308 275 89.29% 93.17% -3.89% 

837 VELVA (%) 545 543 428 78.82% 57.14% 21.68% 

839 DARI (@) 321 319 283 88.71% 81.27% 7.45% 

840 GOHILNI KHAN (&) 516 514 392 76.26% 64.07% 12.20% 

967 BHACHA (&) 397 395 181 45.82% 45.54% 0.29% 

968 SAVNI (&) 380 379 319 84.17% 91.62% -7.45% 

988 SINDHAJ (#) 197 197 145 73.60% – – 

989 DELVADA (#) 308 308 102 33.12% – – 

990 GHANTVAD (#) 261 259 148 57.14% – – 

56 - JAMNAGAR 

766 DHROL 1633 1625 1341 82.52% 80.90% 1.62% 

767 JAM JODHPUR 1483 1479 1013 68.49% 64.54% 3.95% 

768 JAMNAGAR CITY 2740 2731 1800 65.91% 63.76% 2.15% 

769 JAMNAGAR (DIG) 6608 6587 5035 76.44% 71.28% 5.16% 

770 KALAVAD 1431 1417 1019 71.91% 65.60% 6.31% 

771 JODIYA 404 402 275 68.41% 64.80% 3.61% 

772 LALPUR 1252 1252 697 55.67% 61.45% -5.78% 

773 SIKKA 339 333 162 48.65% 43.35% 5.30% 

774 JAMBUDA (PATIYA) (&) 341 341 240 70.38% 66.56% 3.82% 

57 - JUNAGADH 

791 BANTWA 860 859 752 87.54% 83.21% 4.34% 

792 BILAKHA 443 443 346 78.10% 62.23% 15.88% 

793 JUNAGADH NORTH 1685 1680 1084 64.52% 60.58% 3.95% 

794 JUNAGADH SOUTH 1555 1550 1319 85.10% 83.91% 1.19% 

795 KESHOD 2453 2449 1899 77.54% 77.76% -0.21% 

796 MANAVADAR 997 996 661 66.37% 53.74% 12.62% 

797 MANGROL 1879 1878 1395 74.28% 79.41% -5.13% 

798 VISAVADAR 1231 1230 969 78.78% 68.25% 10.53% 

799 MALIYA HATINA 857 857 617 72.00% 64.19% 7.81% 

800 VANTHALI 833 833 641 76.95% 77.78% -0.83% 

801 SHAHPUR SORATH 306 304 186 61.18% 54.92% 6.27% 

802 BHESAN 681 679 541 79.68% 77.51% 2.16% 

803 MENDARDA 1086 1086 548 50.46% 59.55% -9.09% 

804 CHORWAD 480 480 365 76.04% 58.50% 17.54% 

805 RANPUR SORATH 300 300 264 88.00% 83.83% 4.17% 

806 BARWALA 322 321 262 81.62% 91.76% -10.14% 

807 DIVRANA 859 857 758 88.45% 91.42% -2.97% 

808 MAJEVADI 1186 1183 1048 88.59% 85.78% 2.81% 

809 GADU (SHERBAUG) 387 387 343 88.63% 90.80% -2.17% 

810 JUNAGADH NORTH-1 2246 2245 1950 86.86% 83.24% 3.62% 

811 JUNAGADH SOUTH-1 1651 1649 1341 81.32% 76.02% 5.30% 

812 LOAEJ 898 898 730 81.29% 83.35% -2.06% 

813 AMRAPUR GIR (*) 397 395 379 95.95% 90.82% 5.13% 

838 KHORASHA (%) 553 553 536 96.93% 96.24% 0.68% 



Lkk{ 





54 - KHEDA 

286 NCERT KHEDA-1 (#) 90 90 87 96.67% – – 

301 DAKOR 824 820 470 57.32% 41.50% 15.81% 

302 THASRA 836 812 339 41.75% 47.12% -5.37% 

303 KAPADWANJ 1527 1511 1103 73.00% 65.25% 7.74% 

304 KATHLAL 909 904 397 43.92% 36.50% 7.41% 

305 KHEDA 939 932 489 52.47% 60.02% -7.56% 

306 MAHEMDABAD 870 855 503 58.83% 52.59% 6.24% 

307 MAHUDHA 885 865 436 50.40% 38.98% 11.42% 

308 NADIAD CITY 1729 1718 1091 63.50% 63.82% -0.31% 

309 NADIAD ST. 2292 2286 1668 72.97% 74.97% -2.00% 

310 VASO 698 685 281 41.02% 42.20% -1.18% 

311 ALINDRA 650 637 327 51.33% 57.26% -5.93% 

312 MATAR 510 499 233 46.69% 43.31% 3.38% 

313 AKLACHA 643 643 415 64.54% 65.47% -0.93% 

314 SEVALIYA 913 890 450 50.56% 46.25% 4.31% 

315 UTTARSANDA 351 349 141 40.40% 42.94% -2.54% 

316 SALUN 337 335 195 58.21% 25.65% 32.56% 

317 NESH 598 584 336 57.53% 65.32% -7.79% 

318 THAVAD 216 211 140 66.35% 51.89% 14.46% 

319 RUDAN 335 328 73 22.26% 49.41% -27.15% 

320 VANTHVADI 656 644 468 72.67% 81.55% -8.88% 

321 LASUNDRA 411 403 267 66.25% 62.32% 3.93% 

322 ANTARSUMBA 384 382 207 54.19% 66.39% -12.20% 

323 AKHDOL 452 441 257 58.28% 74.75% -16.47% 

324 NIRMALI 502 501 298 59.48% 55.89% 3.59% 

325 NENPUR 423 419 260 62.05% 43.44% 18.62% 

326 ARAL 1095 1076 664 61.71% 48.30% 13.41% 

327 SANDHANA 358 357 158 44.26% 40.79% 3.46% 

328 RADHU 384 384 141 36.72% 48.70% -11.98% 

329 VADTAL 569 567 300 52.91% 58.20% -5.29% 

330 VANAKBORI (THARMAL) 442 441 313 70.98% 74.92% -3.94% 

331 HALDHARVAS (&) 424 417 213 51.08% 49.71% 1.36% 

332 MAHOLEL (&) 373 372 214 57.53% 62.19% -4.66% 

333 VASNA MARGIYA (&) 265 260 121 46.54% 50.00% -3.46% 

334 CHAKLASHI (^) 551 538 203 37.73% 56.02% -18.29% 

335 ANTROLI (^) 207 204 113 55.39% 75.66% -20.27% 

604 RAMOL (&) 365 365 305 83.56% 84.38% -0.82% 

981 MENPURA (#) 207 205 174 84.88% – – 

992 SUNDA (#) 284 283 196 69.26% – – 

53 - KUTCH 

736 ADIPUR 1455 1450 1156 79.72% 79.60% 0.12% 

737 ANJAR 2015 1999 1253 62.68% 67.41% -4.73% 

738 BHUJ 2876 2864 2338 81.63% 79.98% 1.66% 

739 MANDVI (KUTCHH) 1443 1431 1068 74.63% 69.63% 5.00% 

740 NAKHATRANA 570 566 381 67.31% 59.43% 7.89% 



Lkk{ 





741 KOTHARA 333 330 172 52.12% 45.26% 6.86% 

742 MUNDRA 949 949 681 71.76% 72.01% -0.25% 

743 BHACHAU 1149 1143 664 58.09% 72.69% -14.59% 

744 GANDHIDHAM 2753 2730 1945 71.25% 76.17% -4.92% 

745 GADHSISA 625 617 428 69.37% 61.39% 7.98% 

746 DAYAPAR 277 275 185 67.27% 51.74% 15.53% 

747 NALIYA 364 359 241 67.13% 54.39% 12.74% 

748 RAPAR 1143 1131 543 48.01% 51.23% -3.22% 

749 MADHAPAR 453 450 355 78.89% 72.66% 6.23% 

750 KODAYPUL 453 449 357 79.51% 71.31% 8.20% 

751 KERA 426 423 279 65.96% 69.45% -3.49% 

752 BHUJPUR 353 349 237 67.91% 62.05% 5.86% 

753 PANDHRO 171 164 102 62.20% 53.85% 8.35% 

754 BHUJODI 370 363 243 66.94% 61.98% 4.97% 

755 MANKUVA 371 369 273 73.98% 78.85% -4.86% 

756 KOTDA (JN) 402 397 276 69.52% 68.60% 0.92% 

757 ADESAR 484 480 150 31.25% 22.98% 8.27% 

758 SAMKHIYALI (@) 411 407 214 52.58% 54.87% -2.29% 

759 KHAVDA (*) 182 180 89 49.44% 52.20% -2.76% 

760 DHORI (^) 267 263 200 76.05% 71.94% 4.11% 

761 MOTHALA (^) 142 141 108 76.60% 66.41% 10.19% 

762 BIDADA (#) 381 375 293 78.13% – – 

763 KATARIA (#) 298 294 121 41.16% – – 

764 VITHON (#) 269 269 169 62.83% – – 

765 RATNAL (#) 253 251 119 47.41% – – 

980 KUKMA (#) 292 289 219 75.78% – – 

85 - MAHISAGAR 

371 BALASINOR 1154 1148 626 54.53% 76.99% -22.46% 

372 BIRPUR 635 627 435 69.38% 76.67% -7.29% 

373 PANDAVA 742 740 257 34.73% 85.95% -51.22% 

374 JORAPURA 700 696 106 15.23% 85.67% -70.44% 

375 LUNAWADA 1442 1434 1024 71.41% 79.77% -8.36% 

376 MALVAN 315 315 110 34.92% 41.09% -6.17% 

377 SANTRAMPUR 1305 1291 572 44.31% 73.07% -28.76% 

378 VARDHARI 425 425 308 72.47% 76.67% -4.20% 

379 LIMDIYA 372 368 142 38.59% 73.55% -34.96% 

380 KOTHAMBA 357 354 181 51.13% 73.95% -22.82% 

381 MUNPUR 460 455 291 63.96% 59.16% 4.79% 

382 NANI SARSAN 307 307 193 62.87% 74.17% -11.30% 

383 CHAVDIBAI NA MUVADA 261 261 59 22.61% 82.01% -59.40% 

384 VIRANIYA 459 459 327 71.24% 75.49% -4.25% 

385 GOTHIB 177 172 91 52.91% 71.50% -18.60% 

386 SALAVADA 186 184 97 52.72% 81.88% -29.16% 

387 KHANPUR 307 302 65 21.52% 85.94% -64.42% 

388 BATAKWADA 469 468 188 40.17% 74.63% -34.46% 

389 VANKALI 414 411 145 35.28% 83.47% -48.19% 



Lkk{ 





390 DIVDA COLONY 498 498 289 58.03% 75.58% -17.55% 

391 KOYDAM 444 439 288 65.60% 79.07% -13.47% 

392 MADHVAS 248 248 128 51.61% 82.58% -30.96% 

393 KALIBEL 572 572 239 41.78% 85.18% -43.39% 

394 BAKOR PANDARVADA 443 439 105 23.92% 49.60% -25.68% 

395 DITVAS 509 505 109 21.58% 58.04% -36.46% 

396 KUMBHARWADI 407 402 236 58.71% 55.86% 2.84% 

397 MALEKPUR (&) 251 248 142 57.26% 76.03% -18.77% 

398 THANASAVLI (&) 280 273 211 77.29% 86.97% -9.69% 

399 NAPANIYA (#) 190 190 95 50.00% – – 

63 - MEHSANA 

146 AMBALIASAN 913 907 714 78.72% 72.36% 6.36% 

147 BECHARAJI 1052 1024 594 58.01% 52.96% 5.04% 

148 GOZARIYA 658 653 431 66.00% 56.59% 9.41% 

149 JOTANA 555 552 375 67.93% 60.76% 7.18% 

150 KADI 2954 2939 2313 78.70% 75.77% 2.93% 

151 KUKARWADA 561 548 371 67.70% 57.75% 9.95% 

152 KHERALU 701 692 386 55.78% 54.57% 1.21% 

153 MEHSANA CITY 2509 2492 1731 69.46% 69.05% 0.41% 

154 PILVAI 240 238 174 73.11% 76.70% -3.60% 

155 SATLASANA 631 627 424 67.62% 61.65% 5.98% 

156 UNJHA 1491 1481 979 66.10% 63.43% 2.67% 

157 VADNAGAR 1100 1091 688 63.06% 60.52% 2.54% 

158 VIJAPUR 1152 1150 778 67.65% 64.91% 2.74% 

159 VISNAGAR 2177 2161 1553 71.86% 68.93% 2.93% 

160 KHAROD 384 381 219 57.48% 52.17% 5.31% 

161 BALOL 386 373 211 56.57% 51.23% 5.34% 

162 MODHERA 366 360 247 68.61% 51.94% 16.68% 

163 VALAM 321 320 188 58.75% 58.16% 0.59% 

164 MEHSANA RURAL 2516 2496 1691 67.75% 65.99% 1.76% 

165 GORISANA 343 342 223 65.20% 64.74% 0.46% 

166 GOTHAWA 513 511 363 71.04% 62.89% 8.14% 

167 VADU 362 360 259 71.94% 73.59% -1.65% 

168 KANSA 399 399 370 92.73% 92.92% -0.19% 

169 FALU 597 595 467 78.49% 72.10% 6.38% 

170 MATHASUR 403 397 278 70.03% 74.13% -4.11% 

171 SARDARPUR 356 356 255 71.63% 78.47% -6.84% 

172 TITODAN 317 307 228 74.27% 73.13% 1.14% 

173 UNAD 377 375 307 81.87% 75.65% 6.21% 

174 SHIPOR (*) 392 390 301 77.18% 78.10% -0.93% 

175 THOL (*) 553 551 438 79.49% 39.09% 40.40% 

176 UMATA (*) 569 569 379 66.61% 73.85% -7.24% 

177 UNAVA (*) 577 574 447 77.87% 91.29% -13.41% 

178 DANGARVA (%) 246 246 148 60.16% 45.78% 14.38% 

179 KARANNAGAR (&) 297 296 160 54.05% 61.60% -7.55% 

180 MAHIYAL (&) 395 395 327 82.78% 86.35% -3.57% 



Lkk{ 





289 NCERT MEHSANA-1 (#) 332 332 322 96.99% – – 

290 NCERT MEHSANA-2 (#) 74 74 74 100.00% – – 

959 NANDASAN (&) 406 401 331 82.54% 77.37% 5.17% 

960 HIRVANI (&) 394 390 286 73.33% 74.35% -1.01% 

961 BHALUSANA (&) 375 371 345 92.99% 72.55% 20.44% 

969 DABHODA (^) 380 377 272 72.15% 57.98% 14.17% 

970 KAHODA (^) 458 457 389 85.12% 76.46% 8.66% 

86 - MORBI 

921 MORBI 5129 5091 3690 72.48% 70.23% 2.26% 

922 VANKANER 955 954 691 72.43% 65.26% 7.17% 

924 VAVANIYA 126 126 53 42.06% 67.46% -25.40% 

925 TANKARA 1384 1377 1070 77.71% 74.45% 3.25% 

926 JETPUR (MACHHU) 364 364 268 73.63% 59.89% 13.74% 

927 SINDHAVADAR 373 366 294 80.33% 78.22% 2.11% 

928 HADVAD 2465 2454 1920 78.24% 77.73% 0.51% 

929 CHANDRAPUR 819 815 648 79.51% 59.83% 19.68% 

930 CHARADAWA (%) 418 409 231 56.48% 62.67% -6.19% 

931 PIPALIYA (#) 392 392 227 57.91% – – 

76 - NARMADA 

636 DEDIYAPADA 824 814 514 63.14% 53.60% 9.55% 

637 RAJPIPLA 1460 1457 708 48.59% 43.11% 5.48% 

638 TILAKWADA 425 424 241 56.84% 48.01% 8.83% 

639 SAGBARA 630 614 407 66.29% 45.58% 20.71% 

640 KEVADIA COLONY 157 157 62 39.49% 36.70% 2.79% 

641 NIVALDA 293 290 166 57.24% 52.85% 4.40% 

642 PRATAPNAGAR (NARMADA) 299 299 259 86.62% 60.42% 26.21% 

643 SELAMBA 539 508 339 66.73% 22.79% 43.94% 

644 MANGROL 336 336 217 64.58% 29.27% 35.32% 

645 GARUDESHWAR 370 369 276 74.80% 59.45% 15.34% 

646 JUNA MOZDA 129 127 85 66.93% 20.71% 46.21% 

647 UMARAVA 332 331 287 86.71% 57.56% 29.15% 

648 UTAVALI 271 269 95 35.32% 53.44% -18.13% 

649 VADVA (*) 211 211 154 72.99% 34.65% 38.33% 

650 BORIYA (&) 339 338 172 50.89% 74.85% -23.96% 

78 - NAVSARI 

656 AMALSAD 935 934 706 75.59% 72.42% 3.17% 

657 BILIMORA 1436 1435 1078 75.12% 75.12% 0.00% 

658 CHIKHALI 2179 2163 1474 68.15% 66.19% 1.95% 

659 GANDEVI 704 703 415 59.03% 66.39% -7.36% 

660 KHERGAM 578 569 259 45.52% 49.05% -3.53% 

661 MAROLI ST. 835 832 572 68.75% 65.25% 3.50% 

662 NAVSARI 3338 3326 2738 82.32% 79.41% 2.91% 

663 PRATAPNAGAR (NSRI) 592 587 457 77.85% 76.73% 1.13% 

664 UNAI 449 444 292 65.77% 72.19% -6.43% 

665 VANSDA 647 645 422 65.43% 67.58% -2.15% 

666 GANDEVA-KHAREL 428 424 319 75.24% 71.19% 4.05% 



Lkk{ 





667 DHAMDHUMA 857 856 496 57.94% 44.50% 13.44% 

668 DIGENDRANAGAR 556 546 457 83.70% 78.11% 5.59% 

669 LIMZAR 327 325 157 48.31% 43.86% 4.44% 

670 CHOVISI 513 507 291 57.40% 45.78% 11.62% 

671 VIJALPUR 927 919 697 75.84% 74.60% 1.24% 

672 FADVEL 256 256 161 62.89% 57.64% 5.25% 

673 PIPALKHED 663 648 423 65.28% 81.23% -15.95% 

674 AMBABARI 529 514 355 69.07% 71.45% -2.39% 

675 KHADSUPA 649 634 347 54.73% 59.43% -4.70% 

676 RANKUVA 590 589 526 89.30% 87.80% 1.51% 

677 MOTI VALZAR 328 325 243 74.77% 54.47% 20.30% 

678 GANGPUR (&) 304 304 162 53.29% 65.42% -12.13% 

679 RUMLA (#) 453 446 299 67.04% – – 

59 - PANCHMAHAL 

287 NCERT PANCHMAHAL-1 (#) 44 44 42 95.45% – – 

341 GODHRA 2537 2528 1789 70.77% 76.00% -5.24% 

342 HALOL 1518 1514 895 59.11% 61.20% -2.09% 

343 KALOL (PANCHMAHAL) 767 764 390 51.05% 55.08% -4.03% 

344 SHAHERA 944 934 611 65.42% 72.63% -7.21% 

345 SANT ROAD 457 453 123 27.15% 73.13% -45.98% 

346 KANKANPUR 800 793 628 79.19% 65.19% 14.00% 

347 ADADRA 717 713 435 61.01% 76.26% -15.25% 

348 GHOGHAMBA 968 959 605 63.09% 76.26% -13.17% 

349 SAMPA 342 342 202 59.06% 75.96% -16.89% 

350 VAGHAJIPURA 590 582 334 57.39% 69.57% -12.18% 

351 SULIYAT 292 292 89 30.48% 83.93% -53.45% 

352 RINCHHAWANI 598 581 208 35.80% 63.86% -28.06% 

353 NARUKOT 756 742 478 64.42% 72.37% -7.95% 

354 DEROL ST. 664 662 283 42.75% 39.94% 2.81% 

355 MORVA RENA 518 518 185 35.71% 77.53% -41.81% 

356 KHOJALVAS 558 554 388 70.04% 77.90% -7.87% 

357 MORVA HADAF 1116 1093 737 67.43% 77.24% -9.81% 

358 MORA 731 726 258 35.54% 62.21% -26.67% 

359 VEJALPUR 697 692 385 55.64% 54.12% 1.52% 

360 SHIVRAJPUR 809 799 460 57.57% 63.61% -6.04% 

361 RAMESHRA 631 630 371 58.89% 85.13% -26.24% 

362 BAHI 377 376 228 60.64% 86.42% -25.78% 

363 SIMALIYA 729 727 440 60.52% 77.54% -17.02% 

364 SANKALI 787 781 340 43.53% 67.38% -23.84% 

365 GOLLAV 652 650 279 42.92% 77.53% -34.61% 

366 KAVALI 748 748 436 58.29% 76.14% -17.85% 

367 DELOL (*) 364 359 129 35.93% 81.21% -45.28% 

368 CHOPADA BUZARG (%) 342 342 232 67.84% 76.18% -8.34% 

369 RANJITNAGAR (#) 299 293 239 81.57% – – 

370 JAFARABAD (KANSUDI) (#) 301 301 216 71.76% – – 



Lkk{ 





77 - PATAN 

261 BALISANA 472 466 265 56.87% 55.98% 0.89% 

262 CHANASMA 600 594 309 52.02% 45.15% 6.87% 

263 DHINOJ 465 462 386 83.55% 60.43% 23.12% 

264 PATAN 4323 4301 3042 70.73% 64.65% 6.08% 

265 RADHANPUR 2124 2086 1185 56.81% 45.03% 11.78% 

266 RANUJ 497 488 322 65.98% 53.63% 12.36% 

267 SIDDHPUR 1541 1528 960 62.83% 58.22% 4.60% 

268 HARIJ 1263 1248 652 52.24% 47.45% 4.79% 

269 VARAHI 797 781 360 46.09% 31.13% 14.96% 

270 VADAVALI 187 186 145 77.96% 45.61% 32.34% 

271 SHANKHESHWAR 481 480 207 43.13% 47.86% -4.74% 

272 KOITA 1216 1208 830 68.71% 78.75% -10.04% 

273 VAYAD 582 567 469 82.72% 53.12% 29.60% 

274 KUNWARA 299 297 115 38.72% 56.98% -18.26% 

275 SAMI 726 713 380 53.30% 56.31% -3.01% 

276 KANKOSHI 537 536 351 65.49% 58.26% 7.23% 

277 BHILVAN 414 405 301 74.32% 59.74% 14.58% 

278 SANTALPUR 389 380 157 41.32% 43.12% -1.80% 

279 CHAVELI (&) 239 238 153 64.29% 54.80% 9.49% 

280 GANESHPURA (&) 253 247 94 38.06% 41.86% -3.80% 

991 DER (#) 272 272 172 63.24% – – 

74 - PORBANDAR 

936 PORBANDAR 3370 3362 2180 64.84% 59.89% 4.95% 

937 KUTIYANA 506 479 326 68.06% 62.30% 5.76% 

938 RANAVAV 807 804 445 55.35% 51.21% 4.14% 

939 MADHAPUR (GHED) 729 724 316 43.65% 71.71% -28.07% 

940 ADVANA 524 522 362 69.35% 27.42% 41.93% 

941 RANA KANDOR 383 382 300 78.53% 73.51% 5.02% 

943 DEVDA (%) 371 370 216 58.38% 59.18% -0.81% 

944 VISAVADA 328 325 216 66.46% 57.76% 8.70% 

945 MAHIYARI (%) 389 386 258 66.84% 66.96% -0.12% 

946 NAGKA (#) 169 169 92 54.44% – – 

64 - RAJKOT 

886 BHAYAVADAR 375 371 234 63.07% 46.55% 16.52% 

887 DHORAJI 2603 2599 2006 77.18% 74.42% 2.76% 

888 GONDAL 3315 3311 2518 76.05% 73.62% 2.43% 

889 JETPUR 2177 2173 1603 73.77% 71.01% 2.76% 

890 JASDAN 1759 1749 1116 63.81% 65.12% -1.31% 

891 RAJKOT EAST 2385 2383 1979 83.05% 76.86% 6.19% 

892 RAJKOT WEST 2081 2079 1911 91.92% 91.61% 0.31% 

893 RAJKOT SADAR 2402 2398 1777 74.10% 68.05% 6.05% 

894 UPLETA 1834 1812 1261 69.59% 61.62% 7.97% 

895 RAJKOT (BEDIPARA) 3525 3522 2612 74.16% 69.89% 4.28% 

896 JAM KANDORNA 783 781 359 45.97% 79.21% -33.24% 

897 DERDI KUMBHAJI 544 543 358 65.93% 69.51% -3.58% 



Lkk{ 





898 PADDHARI 816 815 569 69.82% 67.78% 2.04% 

899 KOLKI 101 101 51 50.50% 43.75% 6.75% 

900 VINCHIYA 750 750 425 56.67% 58.05% -1.38% 

901 ATKOT 817 814 694 85.26% 75.38% 9.87% 

902 KHAMTA 252 251 196 78.09% 97.05% -18.96% 

903 VIRPUR (JALARAM) 467 464 364 78.45% 91.28% -12.83% 

904 RAJKOT EAST-1 1959 1957 1577 80.58% 78.89% 1.70% 

905 RAJKOT EAST-2 1042 1039 743 71.51% 68.73% 2.78% 

906 RAJKOT EAST-3 1667 1663 1350 81.18% 78.64% 2.54% 

907 RAJKOT WEST-1 2447 2443 2078 85.06% 85.05% 0.01% 

908 RAJKOT WEST-2 1863 1862 1605 86.20% 85.09% 1.11% 

909 RAJKOT WEST-3 1284 1281 960 74.94% 78.86% -3.92% 

910 CHANDLI 183 179 122 68.16% 63.55% 4.61% 

911 RAJKOT SADAR-3 844 841 584 69.44% 70.31% -0.87% 

912 RAJKOT SADAR-4 1328 1327 1011 76.19% 72.05% 4.14% 

913 KASTURBADHAM (TRAMBA) 832 831 556 66.91% 67.18% -0.27% 

914 AMBARDI 584 583 410 70.33% 81.79% -11.46% 

915 BHADLA 388 385 214 55.58% 31.29% 24.29% 

916 AMRAPUR (RAJ) 544 535 426 79.63% 63.66% 15.97% 

917 KOTADA SANGHANI (%) 487 482 448 92.95% 94.63% -1.68% 

918 KUVADVA (%) 550 545 381 69.91% 68.65% 1.25% 

919 MOTI PANELI (%) 221 220 100 45.45% 42.33% 3.12% 

920 VAGHANDRA (%) 201 201 159 79.10% 91.01% -11.90% 

966 RUPAVATI (&) 431 427 371 86.89% 97.47% -10.59% 

975 AMARNAGAR (^) 242 242 211 87.19% 72.58% 14.61% 

67 - SABARKANTHA 

181 CHITHODA 309 304 208 68.42% 68.55% -0.12% 

182 HIMMATNAGAR 3235 3221 2070 64.27% 64.95% -0.68% 

183 IDAR 1137 1124 799 71.09% 70.17% 0.91% 

184 KHEDBRAHMA 1660 1641 962 58.62% 57.36% 1.27% 

185 MAJRA 195 195 88 45.13% 46.32% -1.19% 

186 PRANTIJ 1454 1440 682 47.36% 40.00% 7.36% 

187 TALOD 808 800 406 50.75% 45.77% 4.98% 

188 VADALI 748 742 537 72.37% 66.49% 5.88% 

189 VIJAYNAGAR 426 406 243 59.85% 42.21% 17.64% 

190 JADAR 498 498 303 60.84% 62.08% -1.23% 

191 GAMBHOI 570 568 394 69.37% 64.25% 5.12% 

192 HARSOL 289 284 101 35.56% 48.89% -13.33% 

193 BILADIYA 483 479 256 53.44% 71.13% -17.68% 

194 UMEDGADH 326 321 188 58.57% 54.60% 3.97% 

195 NAVA REVAS 309 301 163 54.15% 43.45% 10.70% 

196 KHEROJ 405 383 172 44.91% 50.55% -5.64% 

197 DHADKAN 368 367 210 57.22% 49.13% 8.09% 

198 ABHAPUR 274 268 125 46.64% 77.82% -31.18% 

199 RANASAN S K 296 293 219 74.74% 50.00% 24.74% 

200 RUPAL 382 378 270 71.43% 26.20% 45.23% 



Lkk{ 





201 NIKODA 289 286 221 77.27% 70.15% 7.12% 

202 RAYGADH 174 172 113 65.70% 42.36% 23.34% 

203 ILOL 501 499 336 67.33% 67.88% -0.55% 

204 BADOLI 283 281 170 60.50% 58.12% 2.38% 

205 KAWA 491 489 304 62.17% 55.39% 6.77% 

206 JAMBUDI 488 477 299 62.68% 76.10% -13.42% 

207 HATHARWA 263 261 153 58.62% 50.17% 8.45% 

208 LAMBADIYA 491 479 169 35.28% 10.50% 24.78% 

209 GANTHIYOL (*) 412 398 250 62.81% 54.78% 8.03% 

210 ANDROKHA (@) 403 381 233 61.15% 68.47% -7.31% 

211 JASVANTGADH (DESHOTAR) (&) 338 336 216 64.29% 83.78% -19.50% 

212 SALATPUR (#) 339 335 187 55.82% – – 

230 PUNSARI 472 468 301 64.32% 73.80% -9.49% 

68 - SURAT 

293 NCERT SURAT-1 (#) 638 636 455 71.54% – – 

294 NCERT SURAT-2 (#) 394 394 287 72.84% – – 

295 NCERT SURAT-3 (#) 1067 1066 844 79.17% – – 

521 OLPAD 782 779 566 72.66% 67.11% 5.55% 

522 BARDOLI 2331 2323 1808 77.83% 72.98% 4.85% 

523 KATHOR 963 961 714 74.30% 71.49% 2.81% 

524 KOSAMBA 1013 1009 712 70.56% 63.75% 6.82% 

525 MANDVI SURAT 1128 1124 651 57.92% 60.45% -2.54% 

526 MAHUVA SURAT 556 554 446 80.51% 83.52% -3.01% 

527 SAYAN 541 539 366 67.90% 58.54% 9.37% 

528 SURAT NORTH 1740 1716 1188 69.23% 72.20% -2.97% 

529 SURAT BHAGAL 1249 1240 744 60.00% 59.43% 0.57% 

530 SURAT RANDER 2985 2980 2520 84.56% 85.42% -0.86% 

531 SURAT NANPURA 1667 1659 1223 73.72% 73.37% 0.34% 

532 GANGADHARA 288 285 170 59.65% 47.39% 12.26% 

533 MADHI 323 315 183 58.10% 44.35% 13.74% 

534 SURAT VARACHHA 6471 6458 5912 91.55% 91.18% 0.37% 

535 UDHNA 3772 3764 2945 78.24% 76.74% 1.50% 

536 LAVACHHA 365 363 296 81.54% 80.00% 1.54% 

537 VANKAL 779 773 617 79.82% 68.69% 11.13% 

538 ANAVAL 480 479 356 74.32% 77.59% -3.27% 

539 KIM 1127 1119 800 71.49% 68.48% 3.02% 

540 DAMKA 370 370 301 81.35% 76.98% 4.37% 

541 CHALTHAN 1194 1183 915 77.35% 76.25% 1.10% 

542 PALSANA 587 584 459 78.60% 74.39% 4.21% 

543 GODSAMBA 370 368 280 76.09% 68.04% 8.05% 

544 AMROLI 3475 3469 2734 78.81% 75.59% 3.23% 

545 SACHIN 1519 1512 1228 81.22% 75.55% 5.67% 

546 KAMREJ 2548 2543 2101 82.62% 78.82% 3.80% 

547 KATARGAM 2907 2906 2533 87.16% 85.99% 1.18% 

548 MAGDALLA 294 291 167 57.39% 49.40% 7.99% 

549 KARCHELIYA 590 588 502 85.37% 78.41% 6.96% 



Lkk{ 





550 VED ROAD 3810 3805 3189 83.81% 81.56% 2.25% 

551 KROAD 1689 1689 1460 86.44% 85.91% 0.53% 

552 ADAJAN 2457 2454 2218 90.38% 88.27% 2.11% 

553 ATHAVA SURAT 2660 2657 2419 91.04% 93.13% -2.08% 

554 KADOD 422 422 229 54.27% 48.43% 5.83% 

555 L H ROAD 4239 4227 3694 87.39% 88.16% -0.77% 

556 PUNA GAM 5175 5166 4521 87.51% 88.44% -0.93% 

557 BHATAR 1246 1243 1018 81.90% 84.59% -2.69% 

558 DINDOLI 4298 4282 3294 76.93% 75.69% 1.24% 

559 UMARPADA 992 968 734 75.83% 71.22% 4.60% 

560 ZANKHVAV 505 503 375 74.55% 65.34% 9.21% 

561 SEGVACHHAMA 256 255 196 76.86% 80.46% -3.60% 

562 SARBHON 548 537 479 89.20% 80.74% 8.46% 

563 ARETH 459 451 327 72.51% 75.56% -3.06% 

564 MANGROL 739 730 642 87.95% 88.54% -0.59% 

565 GAMTALAV KHURD 230 227 127 55.95% 75.32% -19.38% 

566 VALVADA (*) 307 294 227 77.21% 88.16% -10.95% 

567 PANDESARA (%) 2984 2969 2041 68.74% 71.60% -2.85% 

568 LIMBAYAT (%) 2967 2943 1981 67.31% 69.50% -2.19% 

69 - SURENDRANAGAR 

241 DHRANGDHRA 1605 1604 1214 75.69% 72.55% 3.14% 

242 LIMDI 1945 1939 1156 59.62% 64.64% -5.02% 

243 SURENDRANAGAR 3337 3332 2705 81.18% 79.30% 1.89% 

244 VADHWAN 2199 2192 1583 72.22% 72.59% -0.37% 

245 PATDI 1061 1043 680 65.20% 62.32% 2.88% 

246 VANA 250 248 152 61.29% 26.01% 35.28% 

247 THANGADH 650 636 281 44.18% 49.28% -5.10% 

248 MULI 455 454 233 51.32% 53.33% -2.01% 

249 SAYLA 1142 1135 582 51.28% 53.49% -2.21% 

250 LAKHTAR 363 362 193 53.31% 61.31% -7.99% 

251 CHUDA 684 684 416 60.82% 57.12% 3.70% 

252 CHOTILA 1362 1354 816 60.27% 58.46% 1.81% 

253 MALVAN (SNR) 448 444 334 75.23% 86.67% -11.44% 

254 RAJSITAPUR 631 631 516 81.77% 75.99% 5.78% 

255 ZINZUVADA 234 231 137 59.31% 60.28% -0.97% 

256 SARA (&) 383 375 283 75.47% 52.00% 23.47% 

257 KHOLDIYAD (&) 336 336 256 76.19% 83.55% -7.36% 

296 NCERT SURENDRANAGAR-1 (#) 77 77 76 98.70% – – 

79 - TAPI 

686 SONGADH 1156 1144 735 64.25% 52.29% 11.96% 

687 VALOD 453 450 250 55.56% 57.17% -1.62% 

688 VYARA 2038 2016 1322 65.58% 64.05% 1.52% 

689 NIZAR 495 468 262 55.98% 86.82% -30.84% 

690 KAPURA 401 385 229 59.48% 61.66% -2.18% 

691 UKAI 662 661 316 47.81% 71.31% -23.50% 

692 BUHARI 579 573 327 57.07% 47.68% 9.39% 



Lkk{ 





693 UCHCHHAL 581 579 317 54.75% 88.13% -33.38% 

694 BAJIPURA 561 559 365 65.30% 63.65% 1.64% 

695 GHATA 378 374 218 58.29% 56.67% 1.61% 

696 KUKARMUNDA 436 426 177 41.55% 73.73% -32.19% 

697 MOHINI (&) 232 224 94 41.96% 69.81% -27.85% 

698 UKHALDA (&) 397 391 220 56.27% 59.48% -3.21% 

699 DOLVAN (^) 448 441 261 59.18% 59.18% 0.00% 

700 KHODADA (#) 320 307 157 51.14% – – 

65 - VADODARA 

291 NCERT VADODARA-1 (#) 493 493 454 92.09% – – 

292 NCERT VADODARA-2 (#) 337 337 322 95.55% – – 

431 DABHOI 1214 1201 583 48.54% 43.08% 5.46% 

432 DESAR 617 614 201 32.74% 47.52% -14.79% 

433 MIYAGAM-KARJAN 907 902 537 59.53% 48.71% 10.83% 

434 PADRA 1270 1270 817 64.33% 60.85% 3.48% 

435 SAVLI 1109 1092 455 41.67% 39.12% 2.54% 

436 SHINOR 367 367 224 61.04% 59.13% 1.90% 

437 WAGHODIYA 895 891 560 62.85% 56.50% 6.35% 

438 ALKAPURI VADODARA 1556 1555 1166 74.98% 77.68% -2.70% 

439 SAYAJIGUNJ, VDR 1264 1260 832 66.03% 73.71% -7.67% 

440 RAOPURA, VDR 1029 1029 772 75.02% 72.61% 2.41% 

441 MANDVI, VDR 1436 1432 924 64.53% 64.63% -0.10% 

442 KARELIBAUG, VDR 2263 2262 1947 86.07% 85.24% 0.84% 

443 MAKARPURA, VDR 1342 1338 1031 77.06% 76.98% 0.08% 

444 BAJWA VADODARA 952 951 706 74.24% 63.43% 10.81% 

445 MASAR ROAD 208 206 101 49.03% 50.18% -1.15% 

446 MOBHA ROAD 511 511 319 62.43% 58.24% 4.19% 

447 BHADARVA 254 254 113 44.49% 34.67% 9.82% 

448 VARNAMA 125 124 80 64.52% 81.17% -16.65% 

449 THUVAVI 386 382 120 31.41% 82.94% -51.53% 

450 ANANDI 376 375 323 86.13% 37.86% 48.27% 

451 SADHALI 293 290 191 65.86% 71.58% -5.71% 

452 AKOTA,VDR 1692 1690 1297 76.75% 79.06% -2.31% 

453 VASNA,VDR 1211 1208 1044 86.42% 85.95% 0.48% 

454 GOTRI,VDR 1198 1197 759 63.41% 61.05% 2.36% 

455 SAMA,VDR 1595 1595 1373 86.08% 85.34% 0.74% 

456 INDRAPURI, VDR 1948 1947 1452 74.58% 77.09% -2.51% 

457 AJWA ROAD,VDR 1728 1727 1256 72.73% 72.66% 0.06% 

458 VARASIYA,VDR 709 702 343 48.86% 47.78% 1.08% 

459 KARELIBAUG-1 1175 1174 715 60.90% 64.52% -3.62% 

460 MANJALPUR,VDR 1550 1549 1122 72.43% 75.71% -3.27% 

461 MAKARPURA, TARSALI 770 770 487 63.25% 68.37% -5.12% 

462 SADHI 424 422 229 54.27% 37.97% 16.29% 

463 KAYAVAROHAN 315 313 129 41.21% 76.09% -34.87% 

464 JAROD 588 582 282 48.45% 63.89% -15.44% 

465 CHHANI 850 843 433 51.36% 47.77% 3.59% 



Lkk{ 





466 KANDARI 357 349 199 57.02% 85.07% -28.05% 

467 BHAYLI 403 395 168 42.53% 40.83% 1.71% 

468 VALAN 551 549 323 58.83% 68.84% -10.00% 

469 SANDHASAL 255 254 106 41.73% 31.10% 10.63% 

470 MUVAL 537 536 269 50.19% 57.31% -7.13% 

471 JASPAR (%) 248 248 123 49.60% 63.98% -14.39% 

472 POR (&) 349 348 185 53.16% 52.88% 0.28% 

473 DABAKA (^) 286 286 186 65.03% 38.78% 26.26% 

474 VANKANER (^) 331 327 90 27.52% 40.66% -13.14% 

475 RAYKA (#) 208 208 87 41.83% – – 

66 - VALSAD 

491 DHARAMPUR 1410 1402 929 66.26% 61.09% 5.18% 

492 KHATALWADA 689 681 452 66.37% 64.24% 2.13% 

493 MOTA PONDHA 971 959 733 76.43% 55.13% 21.31% 

494 PARDI 1051 1050 778 74.10% 73.04% 1.05% 

495 SELVAS 2024 2022 1457 72.06% 60.52% 11.54% 

496 UDWADA 423 423 391 92.43% 84.09% 8.35% 

497 VALSAD CITY 1492 1488 905 60.82% 58.25% 2.57% 

498 VALSAD HALAR RD. 1409 1405 1254 89.25% 89.22% 0.03% 

499 VAPI 3591 3582 2811 78.48% 78.61% -0.14% 

500 MOTI DAMAN 1772 1772 1253 70.71% 61.64% 9.07% 

501 RONVEL 522 520 223 42.88% 69.69% -26.80% 

502 DUNGRI 692 691 504 72.94% 65.00% 7.94% 

503 ASURA 853 845 482 57.04% 49.94% 7.10% 

504 UMARGAO 591 588 477 81.12% 73.25% 7.88% 

505 MOTA VAGHCHHIPA 667 661 290 43.87% 37.12% 6.75% 

506 ATAR 475 472 381 80.72% 59.89% 20.83% 

507 FALDHARA 352 349 138 39.54% 78.37% -38.83% 

508 NANA PONDHA 1016 1005 494 49.15% 45.67% 3.49% 

509 SARIGAM 1781 1761 869 49.35% 53.64% -4.29% 

510 KHANVEL 490 483 175 36.23% 26.22% 10.01% 

511 PARIYA 430 428 249 58.18% 54.58% 3.59% 

512 DANDI BHAGAL 411 408 347 85.05% 84.44% 0.60% 

513 KAPRADA 1036 1002 301 30.04% 44.52% -14.48% 

514 MALANPADA 953 923 628 68.04% 55.41% 12.63% 

515 FANASVADA 356 352 288 81.82% 75.89% 5.93% 

516 NARGOL 732 716 536 74.86% 74.93% -0.07% 

517 RAKHOLI (%) 816 810 377 46.54% 29.08% 17.47% 

518 GALONDA (%) 600 588 306 52.04% 20.89% 31.15% 

519 BAGWADA (%) 213 213 166 77.93% 67.49% 10.44% 

520 JUJVA (#) 347 343 212 61.81% – – 

# - 2018{tk þY ÚtÞu÷ …uxt fuLÿtu 

^ - 2017{tk þY ÚtÞu÷ …uxt fuLÿtu 

& - 2016{tk þY ÚtÞu÷ …uxt fuLÿtu 

% - 2015{tk þY ÚtÞu÷ …uxt fuLÿtu 

* - 2014{tk þY ÚtÞu÷ …uxt fuLÿtu 


„wsht‚ {tæÞr{f yu Wå[‚h {tæÞr{f rþûtý ƒtuzo, …heûtt rð¼t„, ðztuŒht 

sw÷tE-2018 …qhf …heûtte y„íÞe Ëq[t 

ytÚte „wsht‚ htßÞe ‚{t{ tUÄtÞu÷e {tæÞr{f þt¤tytut ðztytuu sýtððtwk fu, «ð‚o{t …heûtt 

rðrÞ{tu ywËth su rðãtÚteoytu {t[o-2018e …heûtt{tk yuf yÚtðt ƒu rð»tÞ{tk “ËwÄthýtu yðftþ” Ähtðu 

Au yu yuf yÚtðt ƒu rð»tÞe …heûtt yt…ðt RåA‚t ntuÞ ‚tu ‚uðt …heûttÚteoytu sw÷tE-2018e …qhf …heûtt{tk 

W…ÂMÚt‚ ÚtE þfþu. 

{t[o-2018e yuË.yuË.Ëe. …heûtt{tk “yuf yÚtðt ƒu rð»tÞ{tk ËwÄthýtu yðftþ” Ähtð‚t …heûttÚteoytue 

þt¤tðth ÞtŒeytu ƒu f÷{tk ‚iÞth fhe su ‚u þt¤tu {t[o-2018t …rhýt{ ËtÚtu {tuf÷ðt{tk ytðe Au, þt¤tyu 

‚u …ife yuf f÷ sYhe …q‚o‚t fhe ƒtuzou {tuf÷ðe yu ƒeS f÷ þt¤t …tËu ht¾ðe. ftuE Ëkòu„tu{tk yt ÞtŒe 

{¤e ntuÞ ‚tu yt yLÞºt yt…u÷ {qt {wsƒ W{uŒðthtue rð„‚tu ¼he sYhe Vet rz{tLz zÙt^Tx ËtÚtu ƒtuzou 

hsq fhðt tUÄ ÷uðe. 

1. {t[o-2018e …heûtt{tk “ËwÄthýtu yðftþ” Ähtð‚t …heûttÚteoyu …tu‚te …qhf …heûtt{tk ƒuËðte Ëk{r‚ 

ƒtuzuo {tuf÷u÷ (ONE OR TWO SUBJECT FAIL LIST){tk Ëne fhe sYhe rð„‚ yu ytÄthtu ËtÚtu 

yt[tÞo {thV‚ hsqyt‚ {tuf÷ðte hnuþu. ytðt W{uŒðthtu {txu Vee hf{ yuf rð»tÞ {txu Y. 110/- yu 

ƒu rð»tÞtu {txu 155/- hnuþu. {rn÷t W{uŒðth yu rŒÔÞtk„ W{uŒðthtuu Ëhfth©eyu Ve ¼hðt{tkÚte {wÂõ‚ 

yt…u÷ ntuE ‚uytu …tËuÚte …heûtt Ve ÷uðte hnu‚e Úte. 

ftuE fthýËh ftuE W{uŒðth yuf fu ƒu rð»tÞ{tk ËwÄthýtu yðftþ Ähtð‚tu ntuÞ yu sw÷tE …qhf …heûtt{tk 

ƒuËðte …tºt‚t Ähtð‚tu ntuðt A‚tk ‚uwk t{ ÞtŒe{tk ntuÞ ‚tu ‚ut „wý…ºtfe ¾htE fheu yt[tÞo 

îtht ‚u W{uhe þftþu. 

2. Ët{tLÞ rðãtÚteoytu yu þtherhf/{trËf rðf÷tk„ Ähtð‚t rðãtÚteoytue ytu¤¾ Ëh¤‚tÚte ÚtE þfu ‚u 

{txu S.R.{tk rðf÷tk„ ƒt¤f Ët{u Differently abled ÷¾u÷ Au, su{tk {wÂõ‚ {u¤ððt {txu Œhuf rð»tÞ{tk 

ytuAt{tk ytuAt 20 „wý «tÃ‚ fhu÷ ntuðt òuEþu. (ƒtuzo …heûttt 70 {tkÚte 14 „wý ‚Útt ytk‚rhf {qÕÞtkft 

10 {tkÚte 6 „wý) 

3. þt¤tu {tuf÷ðt{tk ytðu÷ ÞtŒe …ifet su …heûttÚteoytu …qhf …heûtt{tk W…ÂMÚt‚ Útðt {t„‚t ntuÞ ‚u 

…heûttÚteoytue Ëk{r‚ ƒŒ÷ ÞtŒe{tk Ëne ÷uðte hnuþu. W…ÂMÚt‚ Útðt RåAth W{uŒðthtue fw÷ yufrºt‚ 

ÚtÞu÷ Ve þt¤tyu ðËw÷ fhe ËkÞwõ‚ rz{tLz zÙt^Tx fZtððttu hnuþu. 

4. …qhf …heûtt {txu Œhuf rsÕ÷t {txu …heûttwk yuf s fuLÿ ht¾ðt{tk ytðu Au, …hk‚w Œ{ý yu 

ŒtŒht„hnðu÷et …heûttÚteoytuu ð÷Ëtz fuLÿ{tk ‚Útt Œeð fuLÿt W{uŒðthtuyu ðuhtð¤ fuLÿ{tk …heûtt 

yt…ðte hnuþu. …qhf …heûtttk fuLÿtue ÞtŒe yt …wÂM‚ft{tk Ët{u÷ Au. 

5. su …heûttÚteo …qhf …heûtt{tk W…ÂMÚt‚ Útðt {t„‚t ntuÞ ‚u …heûttÚteot t{e Ët{u NOT TO APPEARe 

tUÄ ÷t÷ þtneÚte fhe [tuhË fhðtwk hnuþu. yuft ƒŒ÷u ƒeòe Ët{u ytðwk ÷¾tE òÞ ‚ue [tufËtE 

ht¾ðte hnuþu. 

6. …qhf …heûtte Vetu rz{tLz zÙt^Tx ‘Ër[ð©e, „wsht‚ {tæÞr{f yu Wå[‚h {tæÞr{f rþûtý ƒtuzo, 

„tkÄe„h’tu (PAYABLE AT AHMEDABAD/GANDHINAGAR) þt¾ttu fZtððttu hnuþu. 

7. {t[o-2018e …heûtt{tk þt¤tfûttt/rÚtÞhe «tÞtur„f …tËwk Ähtð‚t rð»tÞ{tk …heûttÚteoytu “ËwÄthýtu 

yðftþ” ÚtÞt ntuÞ ‚tu ‚u{e «tÞtur„f …qhf …heûtt su ‚u þt¤tyu sw÷tE {tË{tk ÷uðte hnuþu. 

8. þt¤tfeÞ rð»tÞe …qhf …heûtt þt¤tfûttyuÚte ÷uðte hnuþu. suwk «&…ºt …ý þt¤tfûttyuÚte ftZðtwk hnuþu. 

{u¤ðu÷ „wý {qt ‘y’{tk ƒtuzoe ðztuŒht f[uhe{tk Ëw…h‚ fhðttk hnuþu. 


9. ftuE þt¤tu yuf fu ƒu rð»tÞ{tk W…ÂMÚt‚ Útðtu …tºt W{uŒðthe ÞtŒe {¤e ntuÞ ‚tu yu ‚tu s yt 

…wÂM‚ft{tk …tt k. 38 …h yt…u÷ {qt {wsƒ ÞtŒe ‚iÞth fhe, Ëk{r‚ {u¤ðe Vet zÙt^Tx ËtÚtu ƒtuzot 

«r‚rrÄu hsq fhðtt hnuþu. 

þt¤tt yt[tÞo©eyu …qhu…qhe …heûtt Vet rz{tLz zÙt^Tx ËtÚtu «{trý‚ fhu÷e ÞtŒe, ytðuŒ…ºt ð„uhu õ÷e… 

VtR÷{tk Ëk„úrn‚ fheu rsÕ÷t fûttt rð‚hý MÚt¤u ‚t. 08-06-2018 þw¢ðtht htus 11-00 Úte 16-00 f÷tf 

Œhr{Þt ƒtuzot «r‚rrÄu YƒY{tk Ëw«‚ fhðte hnuþu. 

…qhf …heûttwk Ë{Þ…ºtf yt …wÂM‚ftt xtRx÷ …us 3 ‚Útt ƒtuzoe ðuƒËtRx www.gseb.org …h {qfðt{tk 

ytðu÷ Au ‚u{s «ðurþft{tk …heûtte ‚the¾, Ë{Þ ‚Útt rð»tÞtu WÕ÷u¾ fhðt{tk ytðþu, sue tUÄ ÷uðt rðk‚e 

Au. 

ƒtuzo îtht 6 (A) rð»tÞtu …ife W{uŒðthu ftuE …ý rð»tÞ/rð»tÞtu{tk …heûtt yt…u÷ ntuðt A‚tk ‚u rð»tÞ{tk 

„wý…ºtf{tk „uhntsh Œþtoðu÷ ntuÞ ‚uðt rfMËtytu{tk Œ^‚h [ftËýee yhS …rhýt{ ònuh ÚtÞte ‚the¾Úte 

ŒË rŒðË ËwÄe{tk (‚t. 09-06-2018) ƒtuzoe f[uhe{tk x…t÷Úte/YƒY Mðefthðt{tk ytðþu. Œ^‚h [ftËýe yk„utu 

rÞ‚ yhStu {qtu, …heûtt÷ûte {trn‚e, Ë{s ‚Útt ytðuŒ…ºt ¼hðt yk„ue {t„oŒŠþft{tk …rhrþü-9, 

…t k. 75Úte Ët{u÷ Au. 

yhS þt¤tt yt[tÞo©e {thV‚u {tuf÷ðte hnuþu. yhS ËtÚtu „wý…ºtf yu Ve-hËeŒe Íuhtuût f÷ 

yt[tÞo©eyu «{trý‚ fhe òuzðte hnuþu. 

Ëqr[‚ Ë{Þ{ÞtoŒt …Ae {¤u÷ yÚtðt W{uŒðthu ƒthtuƒth {tuf÷tðu÷ fu þt¤tt yt[tÞo©et Ëne/rË¬t 

ð„he yhSytu W…h ftuE ftÞoðtne fhðt{tk ytðþu nª. yt ƒtƒ‚ rðãtÚteoytu ‚Útt ðt÷eytut æÞt …h 

÷tððt sýtððt{tk ytðu Au. 

þt¤t îtht ÷uðtÞu÷ ðifÂÕ…f rð»tÞ/rð»tÞtue …heûtt{tk «tÃ‚ fhu÷ „wý þt¤tt hufzo «{týu ƒtuzot „wý…ºtf 

ËtÚtu {¤‚t ytðu yÚtðt ‘AO’ „uhntsh yÚtðt ‘XO’ {wÂõ‚ ytðu ‚uðt rfMËt{tk „wý [ftËýee yhS 

fh‚tk rÞ‚ Œ^‚h [ftËýet Vtu{o{tk þt¤t îtht Œh¾tM‚ fhðte hnuþu. su ËtÚtu þt¤tt yt[tÞo îtht þt¤tt 

hufzo {wsƒ su ‚u rð»tÞ{tk …rhýt{ ntuÞ ‚u «{trý‚ fhe su ‚u rð»tÞ{tk „wý M…ü Œþtoððtt hnuþu. 

þt¤tfeÞ Ëðo„útne {qÕÞtkf „úuz{tk þt¤tt hufzo ËtÚtu rðËk„‚‚t sýt‚e ntuÞ ‚tu ONLINE „wý Œt¾÷ 

fÞtot ytÄthtue r«LxytWx ËtÚtu fuË-xw-fuË Œh¾tM‚ e[u Ëne fhthu fhðte hnuþu. 

…qhf …heûtt {txue VtR÷ hsq fhðte ‚the¾ ftuE…ý Ëkòu„tu{tk ÷kƒtððt{tk ytðþu rn. su W{uŒðthtuyu 

„wý[ftËýe yhS fhe ntuÞ yu ftuE VuhVth ÚtÞte ‚uytuu òý ÚtE ntuÞ ‚uðt W{uŒðthtuyu „wý[ftËýe 

yhSt sðtƒe htn òuÞt rËðtÞ …qhf …heûttwk ytðuŒ…ºt Ë{ÞËh ¼hðwk rn‚tðn Au. 

{t[o-2018{tk …heûtt {txu tUÄtÞu÷ ntuÞ ‚uðt ftuE W{uŒðth sw÷tE …qhf …heûtt{tk ƒuËe þfþu nª. 

…]ÚÚtf W{uŒðth …ý sw÷tE …qhf …heûtt{tk ƒuËðtu …tºt Úte. 

‚{t{ yt[tÞo©eytuyu tUÄ ÷uðe fu su ‚u W{uŒðthu …tË Útðt {txu þt¤tfeÞ ytk‚rhf {qÕÞtkf{tk 30 …ife 

ytuAt{tk ytuAt 10 yu ƒtuzoe …heûtt{tk 70 {tkÚte ytuAt{tk ytuAt 23 „wý «tÃ‚ fhðt ytð~Þf Au. y{wf 

W{uŒðthtut fuË{tk fw÷ 100 {tkÚte «tÃ‚ fhu÷ „wý 33 fh‚tk ðÄthu ntuÞ …ý ƒtuzoe …heûtt{tk 23 fh‚tk ytuAt 

„wý ntuÞ ‚tu W{uŒðth …tË Út‚tu Úte, ytðt W{uŒðthtuu …tË „ýe ÷uðtt rfMËt ¼q‚ft¤{tk ƒu÷ Au ‚u ƒtƒ‚wk 

…whtð‚o ÚttÞ ‚u æÞtu ÷uðt rðk‚e Au. 

(ƒe. yuË. …k[t÷) 

…heûtt Ër[ð 

„w.{t. yu W.{t. rþûtý ƒtuzo 

…heûtt rð¼t„, ðztuŒht 


(su þt¤tu yuf/ƒu rð»tÞ{tk yw¥teoý W{uŒðthtue ÞtŒe {¤e ntuÞ ‚u cËt{tk yt {qt {wsƒ ÞtŒe ƒtðe ƒtuzou hsq 

fhðtwk hnuþu) 

GSHSEB Vadodara SSC Exam (March 2018) 

Page Number 

List of Students Eligible for July-2018 Supplement Exam 

Sr. Seat No. Sub. Name of Candidate Signature of Fees 

No. Code Candidate 

Total No. of Students to appear : 

Total Amount of Fees Paid : 

DD No. and Date : 

Submission Date : 

Declaration : The details of the above 

signed Students are correct as recommended 

by the school for suplimentary 

exam to be held in July-2018 except those 

who have not consented. 

Signature of Principal with Stamp 

Examination fees is as under 

One subject fees is Rs. 110/- 

Two subject fees in Rs. 155/- 

{rn÷t W{uŒðth yu rŒÔÞtk„ W{uŒðthtuu Ëhfth©eyu 

Ve ¼hðt{tkÚte {wÂõ‚ yt…u÷ ntuE ‚uytu …tËuÚte …heûtt 

Ve ÷uðte hnu‚e Úte. 


…ºt¢{tkf : {W{þƒ/S-Ëu÷/„w.[./{t[o-18 

„wsht‚ {tæÞr{f yu Wå[¥th {tæÞr{f 

rþûtý ƒtuzo, …heûtt rð¼t„, 

ðztuŒht 

‚the¾ : 26-05-2018 

«r‚, 

yt[tÞo©eytu/«Ätt[tÞo©eytu (‚{t{) 

rð»tÞ : {tæÞr{f þt¤tk‚ «{tý…ºt …heûtt {t[o-2018e 

„wý[ftËýee yhSytu {tuf÷ðte ftÞoðtne ƒtƒ‚. 

„‚ ð»toÚte Ätuhý-10 „wý[ftËýee yhSytu Mðefthðte …Ør‚{tk VuhVth fhðt{tk ytðu÷ Au. nðue ÔÞðMÚtt {wsƒ 

„wý[ftËýee yhSytu {tºt ONLINE {tæÞ{Úte s {tuf÷ðte hnu Au. yt {txu yt[tÞo©e yÚtðt W{uŒðth ò‚u ƒtuzoe 

ðuƒËtRx www.gseb.org …h sE „wý[ftËýee yhS fhe þfu Au. YƒY fu x…t÷Úte yhS fhðte hnu‚e Úte. 

„wý[ftËýe yÚtto‚T ƒtuzo îtht ÷uðtÞu÷ 6 rð»tÞtue …heûtt ËkƒkÄu yuf fu ‚uÚte ðÄthu rð»tÞ{tk …tu‚tu {¤u÷ „wý ƒtƒ‚u 

þkft ntuÞ ‚tu ‚ue [ftËýe fhtððe. yt{tk þt¤t îtht ÷uðtÞu÷ …heûtttu fu t{ yu sL{ ‚the¾t ËwÄthttu Ë{tðuþ 

Út‚tu Úte. yhS fhðt ƒtƒ‚u rð„‚ðth Ëq[tytu ðuƒ ËtRx …h {wfu÷ Au ‚u{ A‚t e[u yt…u÷ {n¥ðt {wÆtytu æÞtu 

÷uðt rðk‚e Au. 

(1) yhS fhðt Ëthw www.gseb.org …h sE „wý[ftËýe ÷¾u÷ ƒx õ÷ef fhðwk. 

(2) W{uŒðthtu ƒuXf kƒh t¾ðtÚte ‚ue yLÞ rð„‚tu òuE þftþu. 

(3) su rð»tÞ {txu „wý[ftËýe fhðte Au ‚ue Ët{u xef fhðwk ( rþte) 

(4) „wý[ftËýee Ve «íÞuf rð»tÞt Y. 100/- ¬e fhtÞu÷ Au. 

(5) Ve ¼hðtt ƒu rðfÕ… W…÷çÄ Au : 

rðfÕ… - 1 

W{uŒðth ytu÷tR ƒU®f„/¢urzxftzo {thV‚u …u{uLx fhe þfþu, su {txu W{uŒðth ŒeX ytu÷tR yhS fhðtt [tso 

…uxu Y. 20 ytfthðt{tk ytðþu ‚Útt Y. 5.90/- xÙtLsuõþ [tso ÷t„w …zþu. 

rðfÕ… - 2 

W{uŒðth yhS fh‚e ð¾‚u OFFLINE …u{uLxtu rðfÕ… Mðeftheu [÷ý shux fhe þfþu. yt [÷ý îtht Sfe 

Mxux ƒUfe þt¾t{tk sE rð»tÞ ŒeX Y. 100/- „wý[ftËýe Ve ‚Útt ytu÷tR yhS [tso …uxu Y. 20/- ‚Útt ƒUf xÙtLsuõþ 

[tso Y. 20/- ¼hðtt hnuþu. ƒìkf îtht xÙtLsuõþ kƒh yt…ðt{tk ytðþu. su W{uŒðthu ytu ÷tR yhS{tk ÞtuøÞ 

søÞtyu Œþtoððt{tk ytÔÞuÚte yhS fLV{o Útþu. W{uŒðthu yhS ‚Útt [÷ýe r«Lx …tu‚te …tËu Ët[ðe ht¾ðe rn‚tðn Au. 

(6) „wý[ftËýee yhSytu {txu …rhýt{ ònuh ÚtÞtt ƒu rŒðË …AeÚte ‚t. 09-06-2018 ËwÄetu Ë{Þ ¬e 

fhðt{tk ytðu÷ Au. íÞth ƒtŒ ftuE…ý yhS ftuE…ý {tæÞ{Úte Mðefthe þftþu nª. 

(7) „wý[ftËýee yhSytu ƒtuzoe f[uhe ¾t‚u YƒY fu x…t÷Úte Mðefthðt{tk ytðþu nª. 

(8) „wý[ftËýee yhS ƒtƒ‚u ðÄw {t„oŒþoe sYh sýtÞ ‚tu xtu÷ £e kƒh 1800 233 5500 …h Ëðthu 

10-00 Úte 18-00 f÷tf Œhr{Þt {u¤ðe þftþu yÚtðt yt …wÂM‚ft{tk yt…u÷ ƒtuzoe f[uhetk Vtu kƒhtu …h 

f[uhet ft{ftst Ë{Þ Œhr{Þt {u¤ðe þftþu. 



„wsht‚ {tæÞr{f yu Wå[‚h {tæÞr{f 

rþûtý ƒtuzo, …heûtt rð¼t„, 

ðztuŒht 

f÷ hðtt : rsÕ÷t rþûtýtrÄfthe©eytu (‚{t{) 


yuMk.yuMk.Mke. …heûtt sw÷kE-2018 {txu Ãkqhf ÃkheûkkLkkt fuLÿkuLke ÞkËe 

y.Lkt. rsÕ÷ku fuLÿLkwt Lkk{ fuLÿ Lktçkh 

1. y{ËkðkË (þnuh) yk©{ hkuz 001 

2. y{ŒtðtŒ („útBÞ) htýe… 046 

3. „tkÄe„h „tkÄe„h 081 

4. {nuMkkýk {nuMkkýk 153 

5. çkLkkMkfktXk Ãkk÷LkÃkwh 108 

6. Ãkkxý Ãkkxý 264 

7. MkwhuLÿLkøkh MkwhuLÿLkøkh 243 

8. MkkçkhfktXk ®n{‚„h 182 

9. Ãkt[{nk÷ nt÷tu÷ 342 

10. ËknkuË ËknkuË 606 

11. ykýtË ykýtË 571 

12. ¾uzk LkrzÞkË 309 

13. ¼Y[ ¼Y[ 406 

14. LkðMkkhe LkðMkkhe 662 

15. Lk{oËk hksÃkeÃk¤k 637 

16. Lk{oËk zuzeÞkÃkkzk 636 

17. Mkwhík Mkwhík (W¥kh) 528 

18. ‚t…e ÔÞtht 688 

19. ð÷Mkkz (ËkËhkLkøkh nðu÷e ‚Útt Ë{ý) ð÷Mkkz 497 

20. ðzkuËhk ðzkuËhk ({ktzðe) 441 

21. ztk„ ytnðt 336 

22. {neËt„h ÷wýtðtzt 375 

23. y{hu÷e y{hu÷e 701 

24. ¼kðLkøkh ¼kðLkøkh 841 

25. ò{Lkøkh ò{Lkøkh 768 

26. sqLkkøkZ sqLkkøkZ 793 

27. ÃkkuhçktËh ÃkkuhçktËh 936 

28. hksfkux hksfkux 891 

29. fåA ¼qs 738 

30. çkkuxkË çkkuxkË 878 

31. Œuð¼qr{ îthft ò{¾t¼kr¤Þk 784 

32. „eh Ëtu{tÚt, (Ëeð Ërn‚) ðuhkð¤ 823 

33. yhðÕ÷e {kuzkMkk 222 

34. AkuxkWËuÃkwh AkuxkWËuÃkwh 477 

35. {kuhçke {kuhçke 921 



…heûtt rð¼t„, ðztuŒht

10-result-booklet-2018

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