Khkhundu 7,436#1 of 472 1,127#1 of 472 74.6%#195 of 472 997 per 1,000 males#305 of 470 6.60 per household#209 of 472 27.4%#165 of 472 Bharhe Choura 6,338#2 of 472 1,050#2 of 472 68.9%#355 of 472 1,136 per 1,000 males#111 of 470 6.04 per household#359 of 472 22.9%#264 of 472 Deoria Urf Shampur 6,174#3 of 472 993#3 of 472 82.5%#35 of 472 1,153 per 1,000 males#95 of 470 6.22 per household#305 of 472 13.9%#442 of 472 Churia 6,072#4 of 472 931#4 of 472 64.7%#407 of 472 1,043 per 1,000 males#231 of 470 6.52 per household#228 of 472 24.8%#215 of 472 Noonkhar 5,608#5 of 472 870#5 of 472 72.5%#266 of 472 1,104 per 1,000 males#149 of 470 6.45 per household#243 of 472 24.9%#212 of 472 Bardiha Prasuram 5,406#6 of 472 817#6 of 472 74.3%#207 of 472 1,011 per 1,000 males#281 of 470 6.62 per household#205 of 472 26.8%#175 of 472 Pindi 5,307#7 of 472 776#7 of 472 74.5%#199 of 472 1,047 per 1,000 males#225 of 470 6.84 per household#140 of 472 23.2%#249 of 472 Barsipar 5,092#8 of 472 763#8 of 472 64.4%#409 of 472 1,005 per 1,000 males#289 of 470 6.67 per household#194 of 472 24.5%#222 of 472 Kundouli 4,471#9 of 472 665#11 of 472 76.4%#151 of 472 958 per 1,000 males#368 of 470 6.72 per household#179 of 472 22.9%#264 of 472 Sahopar 4,266#10 of 472 682#9 of 472 71.9%#281 of 472 952 per 1,000 males#380 of 470 6.26 per household#293 of 472 20.9%#327 of 472 Khemadei 4,200#11 of 472 625#13 of 472 74.1%#215 of 472 1,025 per 1,000 males#263 of 470 6.72 per household#179 of 472 28.1%#154 of 472 Rautpar Amethia 4,169#12 of 472 615#14 of 472 78.9%#93 of 472 1,038 per 1,000 males#239 of 470 6.78 per household#156 of 472 24.7%#217 of 472 Takia Dharhi 4,128#13 of 472 671#10 of 472 71.1%#301 of 472 1,117 per 1,000 males#135 of 470 6.15 per household#322 of 472 29.9%#137 of 472 Nonapar 4,104#14 of 472 599#15 of 472 79.5%#74 of 472 995 per 1,000 males#309 of 470 6.85 per household#136 of 472 26.0%#195 of 472 Rampur 4,103#15 of 472 629#12 of 472 74.0%#218 of 472 919 per 1,000 males#420 of 470 6.52 per household#228 of 472 25.7%#201 of 472 Ram Nagar 3,813#16 of 472 593#16 of 472 76.2%#156 of 472 1,088 per 1,000 males#168 of 470 6.43 per household#248 of 472 21.1%#320 of 472 Chero 3,797#17 of 472 592#17 of 472 67.1%#379 of 472 1,036 per 1,000 males#242 of 470 6.41 per household#253 of 472 36.9%#75 of 472 Parasia Karakathi 3,773#18 of 472 569#19 of 472 71.5%#290 of 472 1,057 per 1,000 males#210 of 470 6.63 per household#202 of 472 17.4%#403 of 472 Uska 3,721#19 of 472 584#18 of 472 72.0%#276 of 472 962 per 1,000 males#363 of 470 6.37 per household#268 of 472 29.3%#141 of 472 Rampur 3,715#20 of 472 561#21 of 472 75.7%#170 of 472 986 per 1,000 males#331 of 470 6.62 per household#205 of 472 29.3%#141 of 472 Kasba Salempur 3,687#21 of 472 497#26 of 472 72.7%#261 of 472 957 per 1,000 males#370 of 470 7.42 per household#58 of 472 25.9%#196 of 472 Dharmer 3,551#22 of 472 563#20 of 472 73.9%#225 of 472 1,047 per 1,000 males#225 of 470 6.31 per household#284 of 472 35.8%#82 of 472 Nadouli 3,464#23 of 472 512#23 of 472 71.7%#287 of 472 1,088 per 1,000 males#168 of 470 6.77 per household#160 of 472 36.2%#79 of 472 Pyasi 3,435#24 of 472 465#33 of 472 68.7%#359 of 472 904 per 1,000 males#431 of 470 7.39 per household#61 of 472 34.6%#87 of 472 Savreji 3,389#25 of 472 546#22 of 472 69.8%#337 of 472 1,097 per 1,000 males#154 of 470 6.21 per household#310 of 472 32.3%#114 of 472 Sajaw 3,382#26 of 472 502#25 of 472 78.4%#107 of 472 974 per 1,000 males#350 of 470 6.74 per household#173 of 472 23.4%#244 of 472 Meharouna 3,359#27 of 472 436#37 of 472 79.3%#81 of 472 1,014 per 1,000 males#274 of 470 7.70 per household#42 of 472 21.6%#304 of 472 Isaru 3,307#28 of 472 460#35 of 472 71.9%#278 of 472 972 per 1,000 males#351 of 470 7.19 per household#80 of 472 34.1%#95 of 472 Bardiha Dalpat 3,278#29 of 472 455#36 of 472 74.0%#221 of 472 1,040 per 1,000 males#235 of 470 7.20 per household#78 of 472 23.1%#252 of 472 Ahirouli 3,143#30 of 472 503#24 of 472 61.9%#428 of 472 1,090 per 1,000 males#165 of 470 6.25 per household#299 of 472 17.0%#409 of 472 Ahirouli Lala 3,092#31 of 472 481#29 of 472 75.4%#178 of 472 1,067 per 1,000 males#191 of 470 6.43 per household#248 of 472 20.4%#338 of 472 Balwa Gouri 3,083#32 of 472 483#28 of 472 64.0%#414 of 472 1,080 per 1,000 males#180 of 470 6.38 per household#262 of 472 19.4%#364 of 472 Behra Daber 3,054#33 of 472 432#38 of 472 75.1%#186 of 472 1,057 per 1,000 males#210 of 470 7.07 per household#97 of 472 23.9%#232 of 472 Ropan Chhapra 3,022#34 of 472 472#31 of 472 68.4%#366 of 472 1,154 per 1,000 males#94 of 470 6.40 per household#256 of 472 23.1%#252 of 472 Danur 2,955#35 of 472 476#30 of 472 73.2%#242 of 472 1,055 per 1,000 males#213 of 470 6.21 per household#310 of 472 25.1%#208 of 472 Khori Bari 2,955#35 of 472 495#27 of 472 65.9%#397 of 472 1,137 per 1,000 males#109 of 470 5.97 per household#377 of 472 39.1%#61 of 472 Dumari 2,925#37 of 472 471#32 of 472 69.8%#334 of 472 1,047 per 1,000 males#225 of 470 6.21 per household#310 of 472 19.5%#360 of 472 Rampur Buzurg 2,923#38 of 472 431#39 of 472 70.4%#321 of 472 1,031 per 1,000 males#253 of 470 6.78 per household#156 of 472 32.7%#108 of 472 Pipra Misra 2,843#39 of 472 463#34 of 472 74.9%#188 of 472 1,084 per 1,000 males#175 of 470 6.14 per household#325 of 472 31.7%#121 of 472 Padari Pandey 2,834#40 of 472 413#40 of 472 76.0%#160 of 472 1,007 per 1,000 males#285 of 470 6.86 per household#133 of 472 27.9%#158 of 472 Garhwa Khas 2,648#41 of 472 399#43 of 472 72.5%#265 of 472 1,018 per 1,000 males#267 of 470 6.64 per household#199 of 472 28.1%#154 of 472 Rautpar Raghen 2,572#42 of 472 373#47 of 472 68.0%#373 of 472 1,028 per 1,000 males#258 of 470 6.90 per household#126 of 472 21.3%#312 of 472 Salhapur 2,513#43 of 472 397#44 of 472 71.1%#302 of 472 1,017 per 1,000 males#271 of 470 6.33 per household#279 of 472 18.4%#381 of 472 Dumwalia 2,506#44 of 472 410#41 of 472 75.9%#162 of 472 1,071 per 1,000 males#186 of 470 6.11 per household#337 of 472 21.9%#297 of 472 Nema 2,485#45 of 472 407#42 of 472 76.9%#144 of 472 1,035 per 1,000 males#245 of 470 6.11 per household#337 of 472 25.4%#203 of 472 Bhimpur 2,424#46 of 472 356#52 of 472 64.4%#409 of 472 855 per 1,000 males#450 of 470 6.81 per household#149 of 472 28.5%#150 of 472 Ajana 2,421#47 of 472 354#53 of 472 74.9%#188 of 472 976 per 1,000 males#347 of 470 6.84 per household#140 of 472 21.8%#299 of 472 Matiara Jagadish 2,383#48 of 472 391#45 of 472 70.4%#322 of 472 1,065 per 1,000 males#194 of 470 6.09 per household#346 of 472 20.9%#327 of 472 Bhabhanauli kala बभनौलीकला त. भटनी 2,363#49 of 472 360#50 of 472 72.9%#251 of 472 875 per 1,000 males#447 of 470 6.56 per household#218 of 472 19.1%#369 of 472 Mishrouli Diksit 2,343#50 of 472 303#73 of 472 80.5%#60 of 472 984 per 1,000 males#339 of 470 7.73 per household#39 of 472 22.4%#280 of 472 Sathiyaon 2,319#51 of 472 365#48 of 472 60.6%#432 of 472 1,143 per 1,000 males#103 of 470 6.35 per household#275 of 472 18.3%#385 of 472 Balia Uttar 2,318#52 of 472 326#59 of 472 77.8%#123 of 472 916 per 1,000 males#425 of 470 7.11 per household#91 of 472 24.6%#219 of 472 Dhanouti Rai 2,249#53 of 472 331#58 of 472 70.6%#318 of 472 1,086 per 1,000 males#171 of 470 6.79 per household#153 of 472 34.3%#90 of 472 Thakur Gouri 2,249#53 of 472 353#54 of 472 62.6%#424 of 472 959 per 1,000 males#366 of 470 6.37 per household#268 of 472 26.1%#189 of 472 Rewali 2,237#55 of 472 358#51 of 472 78.1%#114 of 472 996 per 1,000 males#307 of 470 6.25 per household#299 of 472 26.7%#177 of 472 Hata 2,218#56 of 472 344#56 of 472 80.7%#56 of 472 902 per 1,000 males#435 of 470 6.45 per household#243 of 472 24.4%#223 of 472 Urdouli 2,196#57 of 472 306#71 of 472 72.1%#274 of 472 986 per 1,000 males#331 of 470 7.18 per household#81 of 472 22.5%#277 of 472 Chakra Gosai 2,190#58 of 472 322#64 of 472 66.9%#383 of 472 1,170 per 1,000 males#83 of 470 6.80 per household#152 of 472 22.3%#285 of 472 Ratanpura 2,179#59 of 472 351#55 of 472 68.4%#365 of 472 1,136 per 1,000 males#111 of 470 6.21 per household#310 of 472 17.9%#392 of 472 Kausar 2,177#60 of 472 325#60 of 472 72.1%#273 of 472 995 per 1,000 males#309 of 470 6.70 per household#185 of 472 21.3%#312 of 472 Madhwapur 2,139#61 of 472 386#46 of 472 74.3%#205 of 472 1,061 per 1,000 males#201 of 470 5.54 per household#435 of 472 27.5%#164 of 472 Nad Ghat 2,133#62 of 472 303#73 of 472 78.9%#92 of 472 995 per 1,000 males#309 of 470 7.04 per household#101 of 472 14.0%#441 of 472 Jigna Mishra 2,086#63 of 472 325#60 of 472 85.1%#19 of 472 1,017 per 1,000 males#271 of 470 6.42 per household#251 of 472 22.8%#268 of 472 Gopal Pur 2,073#64 of 472 298#78 of 472 73.9%#224 of 472 897 per 1,000 males#437 of 470 6.96 per household#117 of 472 27.1%#170 of 472 Kamaria 2,066#65 of 472 323#62 of 472 74.0%#218 of 472 1,128 per 1,000 males#121 of 470 6.40 per household#256 of 472 18.6%#378 of 472 Nijamabad 2,065#66 of 472 276#88 of 472 71.8%#285 of 472 1,084 per 1,000 males#175 of 470 7.48 per household#54 of 472 17.6%#399 of 472 Kairouta 2,062#67 of 472 323#62 of 472 71.3%#299 of 472 1,032 per 1,000 males#252 of 470 6.38 per household#262 of 472 29.9%#137 of 472 Jiraso 2,058#68 of 472 274#90 of 472 78.6%#100 of 472 962 per 1,000 males#363 of 470 7.51 per household#50 of 472 31.0%#126 of 472 Chamukha 2,046#69 of 472 314#68 of 472 77.2%#133 of 472 1,193 per 1,000 males#64 of 470 6.52 per household#228 of 472 15.6%#431 of 472 Kharwania 2,046#69 of 472 306#71 of 472 68.3%#368 of 472 986 per 1,000 males#331 of 470 6.69 per household#190 of 472 20.8%#330 of 472 Balia Dksin 2,044#71 of 472 322#64 of 472 73.6%#234 of 472 1,058 per 1,000 males#206 of 470 6.35 per household#275 of 472 27.6%#162 of 472 Rajawal 2,030#72 of 472 318#66 of 472 79.2%#85 of 472 1,061 per 1,000 males#201 of 470 6.38 per household#262 of 472 21.3%#312 of 472 Singhi Dih 2,025#73 of 472 251#100 of 472 66.5%#388 of 472 966 per 1,000 males#360 of 470 8.07 per household#29 of 472 35.5%#83 of 472 Jamasara 2,019#74 of 472 364#49 of 472 70.0%#328 of 472 1,176 per 1,000 males#80 of 470 5.55 per household#434 of 472 21.6%#304 of 472 Khakhari 1,993#75 of 472 332#57 of 472 71.3%#299 of 472 1,116 per 1,000 males#137 of 470 6.00 per household#370 of 472 30.1%#134 of 472 Parasia Chak Lal 1,973#76 of 472 291#81 of 472 69.2%#351 of 472 1,115 per 1,000 males#138 of 470 6.78 per household#156 of 472 23.1%#252 of 472 Jadpura 1,945#77 of 472 289#82 of 472 73.6%#231 of 472 1,296 per 1,000 males#25 of 470 6.73 per household#177 of 472 18.3%#385 of 472 Bharouli 1,944#78 of 472 272#92 of 472 67.2%#377 of 472 1,006 per 1,000 males#288 of 470 7.15 per household#83 of 472 19.2%#367 of 472 Kola 1,942#79 of 472 307#70 of 472 68.2%#370 of 472 1,143 per 1,000 males#103 of 470 6.33 per household#279 of 472 45.1%#41 of 472 Magraich 1,939#80 of 472 299#77 of 472 69.2%#350 of 472 1,058 per 1,000 males#206 of 470 6.48 per household#238 of 472 22.2%#291 of 472 Narouli Khem 1,931#81 of 472 276#88 of 472 74.7%#193 of 472 1,043 per 1,000 males#231 of 470 7.00 per household#108 of 472 36.0%#81 of 472 Jigni Diksit 1,929#82 of 472 287#83 of 472 77.2%#136 of 472 1,003 per 1,000 males#293 of 470 6.72 per household#179 of 472 29.3%#141 of 472 Barsath 1,927#83 of 472 286#84 of 472 79.4%#79 of 472 985 per 1,000 males#335 of 470 6.74 per household#173 of 472 28.9%#145 of 472 Parsia Bhagouti 1,912#84 of 472 318#66 of 472 70.8%#309 of 472 1,060 per 1,000 males#204 of 470 6.01 per household#367 of 472 22.4%#280 of 472 Khajuri Karouta 1,903#85 of 472 302#75 of 472 74.3%#209 of 472 1,018 per 1,000 males#267 of 470 6.30 per household#287 of 472 28.7%#148 of 472 Dol Chhapra 1,857#86 of 472 272#92 of 472 78.2%#112 of 472 1,034 per 1,000 males#247 of 470 6.83 per household#143 of 472 24.8%#215 of 472 Tilouli 1,842#87 of 472 285#85 of 472 76.7%#147 of 472 1,074 per 1,000 males#184 of 470 6.46 per household#239 of 472 23.2%#249 of 472 Jamui 1,821#88 of 472 302#75 of 472 76.0%#161 of 472 1,207 per 1,000 males#54 of 470 6.03 per household#363 of 472 16.7%#413 of 472 Kohara 1,799#89 of 472 295#79 of 472 80.2%#63 of 472 1,073 per 1,000 males#185 of 470 6.10 per household#344 of 472 21.7%#301 of 472 Sahia 1,787#90 of 472 308#69 of 472 77.0%#142 of 472 1,001 per 1,000 males#296 of 470 5.80 per household#402 of 472 20.9%#327 of 472 Chandpar 1,757#91 of 472 262#97 of 472 69.9%#331 of 472 1,135 per 1,000 males#114 of 470 6.71 per household#183 of 472 14.5%#440 of 472 Bardiha 1,754#92 of 472 280#87 of 472 67.5%#376 of 472 1,096 per 1,000 males#156 of 470 6.26 per household#293 of 472 41.2%#55 of 472 Harawa Urf Aurangabad 1,740#93 of 472 230#110 of 472 77.3%#129 of 472 908 per 1,000 males#427 of 470 7.57 per household#49 of 472 24.1%#229 of 472 Patna 1,734#94 of 472 264#96 of 472 72.7%#260 of 472 1,130 per 1,000 males#119 of 470 6.57 per household#216 of 472 23.9%#232 of 472 Pakri Lala 1,732#95 of 472 222#118 of 472 77.1%#138 of 472 948 per 1,000 males#386 of 470 7.80 per household#36 of 472 21.8%#299 of 472 Bachhaur 1,729#96 of 472 214#121 of 472 77.9%#121 of 472 930 per 1,000 males#409 of 470 8.08 per household#27 of 472 25.0%#210 of 472 Sisai 1,713#97 of 472 292#80 of 472 75.7%#168 of 472 1,097 per 1,000 males#154 of 470 5.87 per household#393 of 472 49.5%#24 of 472 Bhabhniyaw Hardo बभनियांव हरदो 1,703#98 of 472 242#101 of 472 68.5%#362 of 472 989 per 1,000 males#322 of 470 7.04 per household#101 of 472 23.4%#244 of 472 Kurawal Hari 1,683#99 of 472 274#90 of 472 69.5%#342 of 472 1,086 per 1,000 males#171 of 470 6.14 per household#325 of 472 33.3%#104 of 472 Parsouni 1,676#100 of 472 255#99 of 472 64.9%#404 of 472 988 per 1,000 males#326 of 470 6.57 per household#216 of 472 27.8%#159 of 472 Balepur Kala 1,663#101 of 472 283#86 of 472 83.1%#28 of 472 1,165 per 1,000 males#88 of 470 5.88 per household#389 of 472 34.6%#87 of 472 Mahal Manjharia 1,662#102 of 472 265#95 of 472 64.9%#404 of 472 958 per 1,000 males#368 of 470 6.27 per household#290 of 472 17.6%#399 of 472 Malkauli 1,627#103 of 472 232#109 of 472 64.1%#413 of 472 991 per 1,000 males#317 of 470 7.01 per household#107 of 472 26.1%#189 of 472 Bankata Shiv 1,626#104 of 472 228#113 of 472 70.7%#316 of 472 1,071 per 1,000 males#186 of 470 7.13 per household#86 of 472 27.2%#169 of 472 Pipara Devraj 1,616#105 of 472 239#104 of 472 68.5%#362 of 472 952 per 1,000 males#380 of 470 6.76 per household#166 of 472 32.0%#118 of 472 Mahurao 1,612#106 of 472 268#94 of 472 73.1%#245 of 472 975 per 1,000 males#348 of 470 6.01 per household#367 of 472 29.5%#140 of 472 Bagahi 1,600#107 of 472 227#115 of 472 73.0%#247 of 472 1,023 per 1,000 males#264 of 470 7.05 per household#100 of 472 69.5%#3 of 472 Chhapia Jaidev 1,581#108 of 472 241#103 of 472 73.6%#231 of 472 1,064 per 1,000 males#197 of 470 6.56 per household#218 of 472 27.3%#167 of 472 Chordiha 1,580#109 of 472 235#106 of 472 74.1%#214 of 472 1,039 per 1,000 males#236 of 470 6.72 per household#179 of 472 20.4%#338 of 472 Harkhouli 1,564#110 of 472 228#113 of 472 75.9%#163 of 472 1,151 per 1,000 males#96 of 470 6.86 per household#133 of 472 12.5%#448 of 472 Pipra Ramdhar 1,544#111 of 472 242#101 of 472 78.5%#102 of 472 1,112 per 1,000 males#143 of 470 6.38 per household#262 of 472 20.0%#345 of 472 Purnac Chhapar 1,530#112 of 472 196#133 of 472 79.5%#76 of 472 937 per 1,000 males#396 of 470 7.81 per household#35 of 472 22.9%#264 of 472 Devghat 1,515#113 of 472 198#129 of 472 77.0%#141 of 472 942 per 1,000 males#393 of 470 7.65 per household#45 of 472 22.6%#273 of 472 Sahala 1,513#114 of 472 229#112 of 472 74.8%#192 of 472 1,186 per 1,000 males#71 of 470 6.61 per household#208 of 472 22.1%#294 of 472 Padari Jhilipar 1,508#115 of 472 262#97 of 472 71.3%#298 of 472 1,186 per 1,000 males#71 of 470 5.76 per household#409 of 472 14.7%#438 of 472 Babhanuli Pandey 1,500#116 of 472 234#107 of 472 82.3%#36 of 472 1,089 per 1,000 males#166 of 470 6.41 per household#253 of 472 17.6%#399 of 472 Sutawar 1,498#117 of 472 210#124 of 472 78.1%#114 of 472 1,033 per 1,000 males#249 of 470 7.13 per household#86 of 472 23.9%#232 of 472 Ithua Caanpouli 1,497#118 of 472 225#117 of 472 71.8%#283 of 472 1,042 per 1,000 males#233 of 470 6.65 per household#196 of 472 16.4%#419 of 472 Chakarwa Bahordas 1,481#119 of 472 202#126 of 472 71.5%#291 of 472 988 per 1,000 males#326 of 470 7.33 per household#68 of 472 27.8%#159 of 472 Pipra Diksit 1,477#120 of 472 200#128 of 472 73.9%#227 of 472 844 per 1,000 males#456 of 470 7.39 per household#61 of 472 24.4%#223 of 472 Rupai 1,463#121 of 472 237#105 of 472 78.8%#94 of 472 1,096 per 1,000 males#156 of 470 6.17 per household#319 of 472 18.4%#381 of 472 Chhapra Prayag 1,450#122 of 472 221#119 of 472 73.2%#244 of 472 1,019 per 1,000 males#266 of 470 6.56 per household#218 of 472 39.0%#62 of 472 Tilouli 1,388#123 of 472 233#108 of 472 74.5%#201 of 472 1,119 per 1,000 males#132 of 470 5.96 per household#378 of 472 18.4%#381 of 472 Indouli 1,358#124 of 472 213#122 of 472 76.1%#157 of 472 929 per 1,000 males#410 of 470 6.38 per household#262 of 472 48.9%#25 of 472 Birsinghpur 1,356#125 of 472 191#137 of 472 76.4%#150 of 472 991 per 1,000 males#317 of 470 7.10 per household#93 of 472 18.2%#387 of 472 Jamua 1,355#126 of 472 196#133 of 472 75.3%#182 of 472 955 per 1,000 males#376 of 470 6.91 per household#123 of 472 22.4%#280 of 472 Kamhriya कम्हरिया तप्पा बरसीपार 1,354#127 of 472 221#119 of 472 66.8%#384 of 472 1,064 per 1,000 males#197 of 470 6.13 per household#328 of 472 21.9%#297 of 472 Birni 1,349#128 of 472 161#169 of 472 72.8%#258 of 472 1,004 per 1,000 males#292 of 470 8.38 per household#17 of 472 20.1%#343 of 472 Doomri 1,341#129 of 472 198#129 of 472 74.4%#204 of 472 975 per 1,000 males#348 of 470 6.77 per household#160 of 472 21.4%#308 of 472 Pura Dakhila 1,324#130 of 472 230#110 of 472 73.5%#238 of 472 1,135 per 1,000 males#114 of 470 5.76 per household#409 of 472 28.9%#145 of 472 Chandpalia 1,323#131 of 472 226#116 of 472 69.4%#343 of 472 1,231 per 1,000 males#42 of 470 5.85 per household#396 of 472 18.7%#376 of 472 Khirsar 1,294#132 of 472 189#138 of 472 70.7%#315 of 472 900 per 1,000 males#436 of 470 6.85 per household#136 of 472 19.2%#367 of 472 Raksa 1,284#133 of 472 138#208 of 472 72.9%#251 of 472 883 per 1,000 males#445 of 470 9.30 per household#5 of 472 33.9%#98 of 472 Birajmal 1,281#134 of 472 211#123 of 472 77.2%#134 of 472 953 per 1,000 males#379 of 470 6.07 per household#351 of 472 28.2%#153 of 472 Laxmipur 1,268#135 of 472 201#127 of 472 70.7%#312 of 472 1,209 per 1,000 males#52 of 470 6.31 per household#284 of 472 19.4%#364 of 472 Jiraso 1,263#136 of 472 165#165 of 472 79.0%#90 of 472 894 per 1,000 males#439 of 470 7.65 per household#45 of 472 25.2%#206 of 472 Karjaha 1,262#137 of 472 198#129 of 472 79.8%#69 of 472 1,003 per 1,000 males#293 of 470 6.37 per household#268 of 472 26.1%#189 of 472 Belwa Babu 1,252#138 of 472 208#125 of 472 75.6%#173 of 472 1,140 per 1,000 males#106 of 470 6.02 per household#364 of 472 13.8%#443 of 472 Parsia Tara 1,247#139 of 472 197#132 of 472 73.1%#246 of 472 1,018 per 1,000 males#267 of 470 6.33 per household#279 of 472 23.1%#252 of 472 Banarhi 1,240#140 of 472 175#152 of 472 72.4%#270 of 472 1,036 per 1,000 males#242 of 470 7.09 per household#94 of 472 19.4%#364 of 472 Sahjour 1,229#141 of 472 181#147 of 472 75.9%#166 of 472 1,126 per 1,000 males#124 of 470 6.79 per household#153 of 472 19.9%#352 of 472 Mazuri Khurd 1,226#142 of 472 179#149 of 472 63.8%#417 of 472 1,030 per 1,000 males#255 of 470 6.85 per household#136 of 472 22.2%#291 of 472 Bahadurpur 1,221#143 of 472 185#144 of 472 70.3%#324 of 472 1,005 per 1,000 males#289 of 470 6.60 per household#209 of 472 31.0%#126 of 472 Siswa Pandey 1,217#144 of 472 186#139 of 472 69.7%#339 of 472 1,143 per 1,000 males#103 of 470 6.54 per household#225 of 472 28.8%#147 of 472 Puraina 1,204#145 of 472 173#155 of 472 77.1%#140 of 472 987 per 1,000 males#330 of 470 6.96 per household#117 of 472 23.5%#240 of 472 Mazuri Buzurg 1,201#146 of 472 186#139 of 472 69.6%#341 of 472 1,184 per 1,000 males#74 of 470 6.46 per household#239 of 472 15.7%#430 of 472 Sri Nagar 1,197#147 of 472 193#136 of 472 73.2%#241 of 472 1,122 per 1,000 males#129 of 470 6.20 per household#314 of 472 38.3%#66 of 472 Dhamouli 1,192#148 of 472 181#147 of 472 78.0%#116 of 472 1,014 per 1,000 males#274 of 470 6.59 per household#212 of 472 40.9%#57 of 472 Bhatni Khas 1,185#149 of 472 176#151 of 472 65.8%#398 of 472 893 per 1,000 males#440 of 470 6.73 per household#177 of 472 36.6%#78 of 472 Badhapurwa 1,183#150 of 472 172#159 of 472 75.6%#172 of 472 1,065 per 1,000 males#194 of 470 6.88 per household#127 of 472 34.2%#92 of 472 Bhatouli 1,172#151 of 472 173#155 of 472 62.3%#427 of 472 1,166 per 1,000 males#87 of 470 6.77 per household#160 of 472 30.7%#131 of 472 Parsia Banshi 1,171#152 of 472 145#194 of 472 69.8%#334 of 472 1,084 per 1,000 males#175 of 470 8.08 per household#27 of 472 41.7%#53 of 472 Thakur Gouri 1,171#152 of 472 194#135 of 472 76.1%#159 of 472 1,161 per 1,000 males#90 of 470 6.04 per household#359 of 472 22.6%#273 of 472 Barthalala 1,160#154 of 472 163#168 of 472 71.8%#282 of 472 1,028 per 1,000 males#258 of 470 7.12 per household#89 of 472 55.0%#16 of 472 Jamua 1,158#155 of 472 186#139 of 472 61.2%#430 of 472 1,257 per 1,000 males#31 of 470 6.23 per household#303 of 472 37.4%#72 of 472 Patneji 1,145#156 of 472 184#145 of 472 79.3%#82 of 472 1,005 per 1,000 males#289 of 470 6.22 per household#305 of 472 19.1%#369 of 472 Dhan Purwa 1,127#157 of 472 167#163 of 472 66.3%#392 of 472 1,091 per 1,000 males#162 of 470 6.75 per household#168 of 472 24.6%#219 of 472 Fatehpur 1,125#158 of 472 186#139 of 472 67.1%#378 of 472 1,013 per 1,000 males#276 of 470 6.05 per household#356 of 472 23.6%#237 of 472 Teghara 1,125#158 of 472 167#163 of 472 39.6%#468 of 472 1,068 per 1,000 males#190 of 470 6.74 per household#173 of 472 16.5%#416 of 472 Pipra Bhanmati 1,122#160 of 472 164#166 of 472 69.0%#353 of 472 886 per 1,000 males#444 of 470 6.84 per household#140 of 472 40.2%#59 of 472 Akauna 1,118#161 of 472 168#161 of 472 81.0%#51 of 472 854 per 1,000 males#451 of 470 6.65 per household#196 of 472 37.7%#69 of 472 Lohra Babhanouli 1,118#161 of 472 156#176 of 472 78.2%#109 of 472 989 per 1,000 males#322 of 470 7.17 per household#82 of 472 26.4%#184 of 472 Chordiha 1,113#163 of 472 173#155 of 472 82.9%#29 of 472 966 per 1,000 males#360 of 470 6.43 per household#248 of 472 27.7%#161 of 472 Dhanouti Lala 1,107#164 of 472 174#154 of 472 73.5%#238 of 472 1,150 per 1,000 males#98 of 470 6.36 per household#273 of 472 23.0%#260 of 472 Daini 1,106#165 of 472 157#173 of 472 65.9%#394 of 472 993 per 1,000 males#314 of 470 7.04 per household#101 of 472 22.4%#280 of 472 Pipra Bagh 1,096#166 of 472 175#152 of 472 73.9%#226 of 472 1,108 per 1,000 males#147 of 470 6.26 per household#293 of 472 43.1%#45 of 472 Bagha 1,093#167 of 472 179#149 of 472 73.9%#228 of 472 1,126 per 1,000 males#124 of 470 6.11 per household#337 of 472 20.7%#334 of 472 Rautpar Pandey 1,089#168 of 472 147#191 of 472 79.2%#86 of 472 952 per 1,000 males#380 of 470 7.41 per household#60 of 472 23.0%#260 of 472 Mathia 1,070#169 of 472 186#139 of 472 72.8%#256 of 472 1,149 per 1,000 males#99 of 470 5.75 per household#414 of 472 32.0%#118 of 472 Itahua Misra 1,066#170 of 472 156#176 of 472 78.4%#105 of 472 867 per 1,000 males#449 of 470 6.83 per household#143 of 472 23.0%#260 of 472 Bawan Pali Gosai 1,059#171 of 472 172#159 of 472 75.7%#168 of 472 957 per 1,000 males#370 of 470 6.16 per household#321 of 472 18.0%#391 of 472 Chakbandi Urf Bimahi 1,056#172 of 472 161#169 of 472 71.8%#286 of 472 1,035 per 1,000 males#245 of 470 6.56 per household#218 of 472 45.5%#37 of 472 Majhawalia 1,054#173 of 472 122#231 of 472 77.9%#119 of 472 959 per 1,000 males#366 of 470 8.64 per household#16 of 472 23.1%#252 of 472 Bankata Dixit 1,049#174 of 472 154#181 of 472 64.0%#415 of 472 1,094 per 1,000 males#159 of 470 6.81 per household#149 of 472 58.5%#11 of 472 Bishunpura 1,049#174 of 472 149#186 of 472 72.4%#267 of 472 972 per 1,000 males#351 of 470 7.04 per household#101 of 472 22.1%#294 of 472 Sarakara 1,045#176 of 472 145#194 of 472 66.4%#390 of 472 1,120 per 1,000 males#131 of 470 7.21 per household#77 of 472 20.0%#345 of 472 Chouthia 1,029#177 of 472 157#173 of 472 66.5%#389 of 472 1,018 per 1,000 males#267 of 470 6.55 per household#222 of 472 19.6%#358 of 472 Khurdhar Khor 1,024#178 of 472 173#155 of 472 70.6%#318 of 472 1,301 per 1,000 males#21 of 470 5.92 per household#384 of 472 14.7%#438 of 472 Mishrouli 1,017#179 of 472 156#176 of 472 65.7%#399 of 472 1,034 per 1,000 males#247 of 470 6.52 per household#228 of 472 23.4%#244 of 472 Dhngara 1,014#180 of 472 143#201 of 472 73.6%#233 of 472 946 per 1,000 males#387 of 470 7.09 per household#94 of 472 30.1%#134 of 472 Dighara Sumali 1,008#181 of 472 182#146 of 472 69.8%#332 of 472 1,168 per 1,000 males#85 of 470 5.54 per household#435 of 472 32.7%#108 of 472 Majhawalia 999#182 of 472 149#186 of 472 76.8%#145 of 472 1,148 per 1,000 males#101 of 470 6.70 per household#185 of 472 18.7%#376 of 472 Doghara 990#183 of 472 158#172 of 472 69.0%#354 of 472 1,093 per 1,000 males#160 of 470 6.27 per household#290 of 472 22.3%#285 of 472 Surhan 987#184 of 472 168#161 of 472 69.3%#344 of 472 1,193 per 1,000 males#64 of 470 5.88 per household#389 of 472 23.2%#249 of 472 Banjaria 986#185 of 472 164#166 of 472 78.5%#103 of 472 945 per 1,000 males#390 of 470 6.01 per household#367 of 472 22.3%#285 of 472 Chakara Tiwari 986#185 of 472 156#176 of 472 65.9%#394 of 472 956 per 1,000 males#374 of 470 6.32 per household#282 of 472 22.3%#285 of 472 Mathapar 985#187 of 472 157#173 of 472 74.3%#207 of 472 1,189 per 1,000 males#68 of 470 6.27 per household#290 of 472 42.5%#48 of 472 Ukina Khas 980#188 of 472 154#181 of 472 71.3%#297 of 472 1,033 per 1,000 males#249 of 470 6.36 per household#273 of 472 17.7%#396 of 472 Padri Gajarat 978#189 of 472 145#194 of 472 81.4%#47 of 472 937 per 1,000 males#396 of 470 6.74 per household#173 of 472 23.1%#252 of 472 Achaula 973#190 of 472 139#205 of 472 79.5%#73 of 472 990 per 1,000 males#320 of 470 7.00 per household#108 of 472 21.6%#304 of 472 Barouli 971#191 of 472 153#184 of 472 75.8%#167 of 472 919 per 1,000 males#420 of 470 6.35 per household#275 of 472 12.9%#446 of 472 Kurawal Tara 971#191 of 472 146#192 of 472 74.6%#195 of 472 950 per 1,000 males#385 of 470 6.65 per household#196 of 472 36.9%#75 of 472 Tatil 968#193 of 472 129#224 of 472 78.0%#117 of 472 944 per 1,000 males#391 of 470 7.50 per household#51 of 472 22.2%#291 of 472 Barhara 951#194 of 472 121#234 of 472 79.5%#77 of 472 994 per 1,000 males#312 of 470 7.86 per household#33 of 472 37.6%#71 of 472 Baidwali 945#195 of 472 155#180 of 472 80.6%#57 of 472 989 per 1,000 males#322 of 470 6.10 per household#344 of 472 21.1%#320 of 472 Nadouli 944#196 of 472 117#242 of 472 77.2%#134 of 472 927 per 1,000 males#411 of 470 8.07 per household#29 of 472 22.6%#273 of 472 Ahrouli Dhamur 940#197 of 472 135#213 of 472 75.6%#171 of 472 1,127 per 1,000 males#123 of 470 6.96 per household#117 of 472 20.7%#334 of 472 Dhobi 939#198 of 472 130#221 of 472 74.9%#188 of 472 969 per 1,000 males#356 of 470 7.22 per household#75 of 472 38.7%#64 of 472 Kauria Kazi 934#199 of 472 136#211 of 472 83.9%#25 of 472 970 per 1,000 males#354 of 470 6.87 per household#131 of 472 23.1%#252 of 472 Babhani 929#200 of 472 153#184 of 472 68.5%#362 of 472 1,191 per 1,000 males#66 of 470 6.07 per household#351 of 472 46.0%#35 of 472 Mahui Pandey 919#201 of 472 159#171 of 472 72.0%#275 of 472 1,188 per 1,000 males#69 of 470 5.78 per household#405 of 472 63.3%#6 of 472 Dhakkapur 910#202 of 472 149#186 of 472 79.4%#79 of 472 888 per 1,000 males#443 of 470 6.11 per household#337 of 472 26.4%#184 of 472 Majhouha 896#203 of 472 140#204 of 472 72.8%#255 of 472 1,055 per 1,000 males#213 of 470 6.40 per household#256 of 472 14.8%#436 of 472 Musaila Khurd 895#204 of 472 137#209 of 472 74.6%#198 of 472 989 per 1,000 males#322 of 470 6.53 per household#226 of 472 22.3%#285 of 472 Paran Chapara 894#205 of 472 146#192 of 472 76.3%#152 of 472 996 per 1,000 males#307 of 470 6.12 per household#332 of 472 23.6%#237 of 472 Kauria Jairam 881#206 of 472 144#199 of 472 55.9%#451 of 472 1,011 per 1,000 males#281 of 470 6.12 per household#332 of 472 38.3%#66 of 472 Manihari 877#207 of 472 136#211 of 472 70.9%#307 of 472 1,237 per 1,000 males#41 of 470 6.45 per household#243 of 472 31.2%#123 of 472 Tilouli Urf Dehari 873#208 of 472 134#215 of 472 69.8%#337 of 472 1,156 per 1,000 males#91 of 470 6.51 per household#232 of 472 17.9%#392 of 472 Haraia Pandit 870#209 of 472 131#217 of 472 76.1%#157 of 472 982 per 1,000 males#342 of 470 6.64 per household#199 of 472 27.0%#171 of 472 Chatia 865#210 of 472 134#215 of 472 67.6%#375 of 472 998 per 1,000 males#304 of 470 6.46 per household#239 of 472 34.0%#97 of 472 Sukarouli 864#211 of 472 129#224 of 472 77.6%#125 of 472 846 per 1,000 males#455 of 470 6.70 per household#185 of 472 22.7%#271 of 472 Kodra Dirgah 860#212 of 472 148#189 of 472 74.3%#209 of 472 1,062 per 1,000 males#200 of 470 5.81 per household#401 of 472 18.4%#381 of 472 Devkali 859#213 of 472 154#181 of 472 73.6%#234 of 472 1,191 per 1,000 males#66 of 470 5.58 per household#433 of 472 28.1%#154 of 472 Hichhoura 859#213 of 472 141#203 of 472 71.9%#280 of 472 851 per 1,000 males#453 of 470 6.09 per household#346 of 472 26.9%#172 of 472 Pipra Shukla 854#215 of 472 144#199 of 472 77.1%#137 of 472 1,130 per 1,000 males#119 of 470 5.93 per household#383 of 472 11.6%#453 of 472 Padri Tiwari 837#216 of 472 135#213 of 472 75.9%#165 of 472 1,087 per 1,000 males#170 of 470 6.20 per household#314 of 472 22.7%#271 of 472 Dhanouti 833#217 of 472 148#189 of 472 62.7%#422 of 472 1,245 per 1,000 males#37 of 470 5.63 per household#431 of 472 28.5%#150 of 472 Thoka Banshi 829#218 of 472 117#242 of 472 70.9%#304 of 472 1,002 per 1,000 males#295 of 470 7.09 per household#94 of 472 25.8%#199 of 472 Bhewali 828#219 of 472 139#205 of 472 72.1%#272 of 472 1,300 per 1,000 males#22 of 470 5.96 per household#378 of 472 39.0%#62 of 472 Mathila Upadhyay 827#220 of 472 143#201 of 472 68.5%#360 of 472 1,182 per 1,000 males#76 of 470 5.78 per household#405 of 472 34.2%#92 of 472 Deoria 809#221 of 472 118#240 of 472 63.7%#419 of 472 1,118 per 1,000 males#133 of 470 6.86 per household#133 of 472 17.9%#392 of 472 Musaila Buzurg 809#221 of 472 100#260 of 472 72.8%#257 of 472 873 per 1,000 males#448 of 470 8.09 per household#23 of 472 5.1%#465 of 472 Bahorwa 808#223 of 472 130#221 of 472 79.4%#78 of 472 1,046 per 1,000 males#229 of 470 6.22 per household#305 of 472 9.9%#458 of 472 Sonbarsa 803#224 of 472 113#247 of 472 72.7%#259 of 472 903 per 1,000 males#433 of 470 7.11 per household#91 of 472 24.4%#223 of 472 Pipra Sravan 802#225 of 472 121#234 of 472 57.7%#442 of 472 1,099 per 1,000 males#151 of 470 6.63 per household#202 of 472 16.0%#424 of 472 Atrauli अतरौली तप्पा सलेमपुर 793#226 of 472 124#228 of 472 77.9%#122 of 472 1,209 per 1,000 males#52 of 470 6.40 per household#256 of 472 23.1%#252 of 472 Satotar 792#227 of 472 131#217 of 472 74.0%#218 of 472 1,047 per 1,000 males#225 of 470 6.05 per household#356 of 472 17.4%#403 of 472 Amawa 787#228 of 472 137#209 of 472 72.9%#251 of 472 1,180 per 1,000 males#77 of 470 5.74 per household#417 of 472 25.9%#196 of 472 Dighara Januwi 778#229 of 472 131#217 of 472 65.4%#402 of 472 1,091 per 1,000 males#162 of 470 5.94 per household#382 of 472 32.4%#113 of 472 Pipra Dawan 777#230 of 472 116#244 of 472 80.4%#61 of 472 967 per 1,000 males#357 of 470 6.70 per household#185 of 472 23.4%#244 of 472 Siswan 777#230 of 472 96#272 of 472 80.8%#55 of 472 938 per 1,000 males#395 of 470 8.09 per household#23 of 472 21.0%#324 of 472 Ghusari 768#232 of 472 145#194 of 472 75.9%#164 of 472 1,093 per 1,000 males#160 of 470 5.30 per household#453 of 472 12.1%#449 of 472 Bourdih 765#233 of 472 121#234 of 472 81.6%#45 of 472 952 per 1,000 males#380 of 470 6.32 per household#282 of 472 37.1%#74 of 472 Puraini 765#233 of 472 123#230 of 472 70.9%#308 of 472 1,102 per 1,000 males#150 of 470 6.22 per household#305 of 472 21.4%#308 of 472 Kodra Thakur 762#235 of 472 131#217 of 472 71.5%#293 of 472 1,281 per 1,000 males#27 of 470 5.82 per household#400 of 472 19.9%#352 of 472 Dubouli 761#236 of 472 122#231 of 472 68.4%#367 of 472 1,091 per 1,000 males#162 of 470 6.24 per household#301 of 472 60.7%#9 of 472 Babhaniyaw 759#237 of 472 139#205 of 472 73.0%#248 of 472 971 per 1,000 males#353 of 470 5.46 per household#443 of 472 34.3%#90 of 472 Chakmukam Ali 758#238 of 472 98#267 of 472 87.6%#14 of 472 919 per 1,000 males#420 of 470 7.73 per household#39 of 472 6.9%#463 of 472 Majirio 751#239 of 472 105#254 of 472 49.3%#464 of 472 992 per 1,000 males#316 of 470 7.15 per household#83 of 472 53.4%#19 of 472 Tetari Hardo 750#240 of 472 108#251 of 472 77.5%#127 of 472 1,149 per 1,000 males#99 of 470 6.94 per household#122 of 472 21.3%#312 of 472 Majhwalia 749#241 of 472 130#221 of 472 69.1%#352 of 472 1,134 per 1,000 males#117 of 470 5.76 per household#409 of 472 13.0%#445 of 472 Bindwalia Misra 746#242 of 472 124#228 of 472 73.5%#236 of 472 1,107 per 1,000 males#148 of 470 6.02 per household#364 of 472 35.5%#83 of 472 Malipur 742#243 of 472 145#194 of 472 67.0%#381 of 472 1,016 per 1,000 males#273 of 470 5.12 per household#456 of 472 0.8%#469 of 472 Mishrouli 730#244 of 472 95#274 of 472 72.5%#263 of 472 984 per 1,000 males#339 of 470 7.68 per household#44 of 472 21.2%#317 of 472 Pipra Pathak 725#245 of 472 115#245 of 472 79.8%#69 of 472 1,164 per 1,000 males#89 of 470 6.30 per household#287 of 472 25.5%#202 of 472 Pandepur 723#246 of 472 103#255 of 472 73.3%#240 of 472 1,066 per 1,000 males#193 of 470 7.02 per household#106 of 472 22.5%#277 of 472 Ruchapar 721#247 of 472 113#247 of 472 75.3%#180 of 472 1,084 per 1,000 males#175 of 470 6.38 per household#262 of 472 20.8%#330 of 472 Madhopur 718#248 of 472 92#280 of 472 77.4%#128 of 472 1,028 per 1,000 males#258 of 470 7.80 per household#36 of 472 17.1%#408 of 472 Dhan Gara 717#249 of 472 122#231 of 472 74.0%#217 of 472 1,115 per 1,000 males#138 of 470 5.88 per household#389 of 472 17.7%#396 of 472 Parsia Bhandari 716#250 of 472 108#251 of 472 72.9%#250 of 472 1,028 per 1,000 males#258 of 470 6.63 per household#202 of 472 47.5%#28 of 472 Dogari Misra 709#251 of 472 120#237 of 472 69.3%#346 of 472 1,061 per 1,000 males#201 of 470 5.91 per household#385 of 472 32.9%#107 of 472 Dhadhwar 707#252 of 472 97#271 of 472 88.7%#11 of 472 932 per 1,000 males#405 of 470 7.29 per household#71 of 472 19.5%#360 of 472 Balha 704#253 of 472 129#224 of 472 65.4%#400 of 472 1,221 per 1,000 males#47 of 470 5.46 per household#443 of 472 50.0%#21 of 472 Ekdanga 704#253 of 472 103#255 of 472 71.5%#292 of 472 939 per 1,000 males#394 of 470 6.83 per household#143 of 472 25.3%#205 of 472 Bagusara 692#255 of 472 118#240 of 472 70.7%#314 of 472 922 per 1,000 males#417 of 470 5.86 per household#394 of 472 16.8%#411 of 472 Bisouli Maphi 689#256 of 472 102#258 of 472 82.8%#32 of 472 957 per 1,000 males#370 of 470 6.75 per household#168 of 472 42.4%#49 of 472 Nadawar 689#256 of 472 114#246 of 472 72.4%#269 of 472 991 per 1,000 males#317 of 470 6.04 per household#359 of 472 15.8%#429 of 472 Narouli Bhism 686#258 of 472 111#249 of 472 68.8%#358 of 472 1,054 per 1,000 males#218 of 470 6.18 per household#316 of 472 50.7%#20 of 472 Ramhouli 686#258 of 472 90#286 of 472 77.7%#124 of 472 983 per 1,000 males#341 of 470 7.62 per household#47 of 472 66.9%#4 of 472 Karcho 685#260 of 472 100#260 of 472 71.4%#296 of 472 1,063 per 1,000 males#199 of 470 6.85 per household#136 of 472 25.0%#210 of 472 Sakrapar 682#261 of 472 93#278 of 472 78.3%#108 of 472 977 per 1,000 males#346 of 470 7.33 per household#68 of 472 14.8%#436 of 472 Bharouli 680#262 of 472 111#249 of 472 80.0%#65 of 472 1,222 per 1,000 males#44 of 470 6.13 per household#328 of 472 16.5%#416 of 472 Banjarias Shukla 677#263 of 472 95#274 of 472 65.3%#403 of 472 1,156 per 1,000 males#91 of 470 7.13 per household#86 of 472 45.6%#36 of 472 Itahu Hajam 664#264 of 472 102#258 of 472 82.0%#41 of 472 936 per 1,000 males#399 of 470 6.51 per household#232 of 472 18.8%#375 of 472 Bhatwa Pandey 662#265 of 472 98#267 of 472 74.7%#194 of 472 1,037 per 1,000 males#240 of 470 6.76 per household#166 of 472 22.8%#268 of 472 Mathia 658#266 of 472 76#310 of 472 63.8%#418 of 472 918 per 1,000 males#423 of 470 8.66 per household#14 of 472 61.6%#8 of 472 Tulsi Bari 657#267 of 472 119#239 of 472 62.5%#425 of 472 1,313 per 1,000 males#19 of 470 5.52 per household#438 of 472 17.7%#396 of 472 Magahara 646#268 of 472 99#264 of 472 75.3%#181 of 472 1,000 per 1,000 males#297 of 470 6.53 per household#226 of 472 20.4%#338 of 472 Kolhua 639#269 of 472 120#237 of 472 75.5%#177 of 472 1,095 per 1,000 males#158 of 470 5.33 per household#452 of 472 16.3%#421 of 472 Amouna 636#270 of 472 90#286 of 472 83.8%#26 of 472 933 per 1,000 males#402 of 470 7.07 per household#97 of 472 26.7%#177 of 472 Majha Walia 633#271 of 472 126#227 of 472 70.6%#317 of 472 1,229 per 1,000 males#43 of 470 5.02 per household#458 of 472 20.5%#337 of 472 Magarichi 631#272 of 472 98#267 of 472 67.0%#382 of 472 1,125 per 1,000 males#126 of 470 6.44 per household#247 of 472 16.3%#421 of 472 Thakur Gouri 631#272 of 472 107#253 of 472 68.5%#360 of 472 1,176 per 1,000 males#80 of 470 5.90 per household#386 of 472 8.1%#462 of 472 Bishunpura 623#274 of 472 92#280 of 472 66.4%#390 of 472 1,257 per 1,000 males#31 of 470 6.77 per household#160 of 472 26.8%#175 of 472 Dubouli 623#274 of 472 77#307 of 472 82.8%#31 of 472 990 per 1,000 males#320 of 470 8.09 per household#23 of 472 24.9%#212 of 472 Sheswar 616#276 of 472 103#255 of 472 68.2%#369 of 472 1,369 per 1,000 males#14 of 470 5.98 per household#375 of 472 34.7%#86 of 472 Isarouli 615#277 of 472 100#260 of 472 74.5%#202 of 472 1,036 per 1,000 males#242 of 470 6.15 per household#322 of 472 33.7%#101 of 472 Khajuri 612#278 of 472 74#315 of 472 62.5%#426 of 472 1,110 per 1,000 males#145 of 470 8.27 per household#20 of 472 13.2%#444 of 472 Khaje Gadhwa 607#279 of 472 76#310 of 472 85.1%#18 of 472 946 per 1,000 males#387 of 470 7.99 per household#32 of 472 37.7%#69 of 472 Math Amouna 602#280 of 472 73#318 of 472 69.2%#349 of 472 967 per 1,000 males#357 of 470 8.25 per household#21 of 472 26.9%#172 of 472 Majhauli मझौली तप्पा हवेली 597#281 of 472 98#267 of 472 49.6%#463 of 472 997 per 1,000 males#305 of 470 6.09 per household#346 of 472 24.1%#229 of 472 Bawanpali Basdev 594#282 of 472 81#300 of 472 78.4%#106 of 472 1,114 per 1,000 males#140 of 470 7.33 per household#68 of 472 16.3%#421 of 472 Bhaskari 592#283 of 472 99#264 of 472 69.8%#332 of 472 1,217 per 1,000 males#49 of 470 5.98 per household#375 of 472 26.2%#187 of 472 Khardha Ghansyam 584#284 of 472 90#286 of 472 81.0%#52 of 472 1,007 per 1,000 males#285 of 470 6.49 per household#236 of 472 22.9%#264 of 472 Bhaisahi 582#285 of 472 93#278 of 472 80.8%#54 of 472 1,148 per 1,000 males#101 of 470 6.26 per household#293 of 472 17.4%#403 of 472 Madpatti 575#286 of 472 86#290 of 472 73.5%#236 of 472 1,039 per 1,000 males#236 of 470 6.69 per household#190 of 472 26.1%#189 of 472 Babhanouli 570#287 of 472 91#283 of 472 79.0%#89 of 472 776 per 1,000 males#462 of 470 6.26 per household#293 of 472 23.5%#240 of 472 Dhanouti 570#287 of 472 100#260 of 472 64.6%#408 of 472 993 per 1,000 males#314 of 470 5.70 per household#423 of 472 31.4%#122 of 472 Mahanpur Urf Pakri 569#289 of 472 92#280 of 472 70.7%#312 of 472 1,180 per 1,000 males#77 of 470 6.18 per household#316 of 472 38.5%#65 of 472 Kharadaha Nilkanth 566#290 of 472 70#324 of 472 77.0%#142 of 472 925 per 1,000 males#413 of 470 8.09 per household#23 of 472 33.7%#101 of 472 Usaraha 566#290 of 472 91#283 of 472 71.8%#284 of 472 1,202 per 1,000 males#57 of 470 6.22 per household#305 of 472 20.3%#341 of 472 Bhrigusari 563#292 of 472 94#277 of 472 78.2%#111 of 472 1,109 per 1,000 males#146 of 470 5.99 per household#374 of 472 46.4%#33 of 472 Pipar Patti 560#293 of 472 83#296 of 472 79.6%#72 of 472 986 per 1,000 males#331 of 470 6.75 per household#168 of 472 23.0%#260 of 472 Tenua 560#293 of 472 83#296 of 472 78.9%#91 of 472 931 per 1,000 males#406 of 470 6.75 per household#168 of 472 48.0%#27 of 472 Parsia Khas 554#295 of 472 95#274 of 472 68.9%#356 of 472 1,207 per 1,000 males#54 of 470 5.83 per household#398 of 472 12.6%#447 of 472 Bishunpura 552#296 of 472 85#291 of 472 81.3%#48 of 472 1,099 per 1,000 males#151 of 470 6.49 per household#236 of 472 26.6%#180 of 472 Maharha Bagh 550#297 of 472 80#302 of 472 75.3%#183 of 472 978 per 1,000 males#344 of 470 6.88 per household#127 of 472 53.8%#18 of 472 Kharkatula 546#298 of 472 55#362 of 472 55.8%#452 of 472 1,000 per 1,000 males#297 of 470 9.93 per household#4 of 472 32.1%#116 of 472 Pipra Urf Musaila 543#299 of 472 75#313 of 472 71.0%#303 of 472 1,049 per 1,000 males#222 of 470 7.24 per household#72 of 472 16.0%#424 of 472 Naini 541#300 of 472 89#289 of 472 86.5%#17 of 472 1,049 per 1,000 males#222 of 470 6.08 per household#349 of 472 25.9%#196 of 472 Gahodilla 539#301 of 472 65#337 of 472 81.1%#50 of 472 1,200 per 1,000 males#58 of 470 8.29 per household#19 of 472 2.4%#467 of 472 Pawanar 532#302 of 472 91#283 of 472 69.7%#340 of 472 1,086 per 1,000 males#171 of 470 5.85 per household#396 of 472 21.4%#308 of 472 Shivrajpur 532#302 of 472 69#326 of 472 69.8%#336 of 472 1,054 per 1,000 males#218 of 470 7.71 per household#41 of 472 41.0%#56 of 472 Bhaluani 529#304 of 472 74#315 of 472 73.8%#230 of 472 1,027 per 1,000 males#262 of 470 7.15 per household#83 of 472 36.1%#80 of 472 Padari Banmali 529#304 of 472 83#296 of 472 76.2%#155 of 472 1,058 per 1,000 males#206 of 470 6.37 per household#268 of 472 30.6%#132 of 472 Basdila 520#306 of 472 77#307 of 472 82.3%#38 of 472 985 per 1,000 males#335 of 470 6.75 per household#168 of 472 23.5%#240 of 472 Mahanpur Buzurg 520#306 of 472 85#291 of 472 76.2%#154 of 472 1,031 per 1,000 males#253 of 470 6.12 per household#332 of 472 18.5%#379 of 472 Garhwa 516#308 of 472 96#272 of 472 82.1%#39 of 472 1,123 per 1,000 males#127 of 470 5.38 per household#451 of 472 19.8%#354 of 472 Barthi 515#309 of 472 85#291 of 472 74.1%#215 of 472 922 per 1,000 males#417 of 470 6.06 per household#353 of 472 19.6%#358 of 472 Chak Hichhoura 515#309 of 472 64#340 of 472 92.5%#6 of 472 1,085 per 1,000 males#174 of 470 8.05 per household#31 of 472 18.1%#389 of 472 Chakia 511#311 of 472 75#313 of 472 72.9%#254 of 472 1,112 per 1,000 males#143 of 470 6.81 per household#149 of 472 39.5%#60 of 472 Pipara Urf Bandi 510#312 of 472 69#326 of 472 58.2%#440 of 472 954 per 1,000 males#377 of 470 7.39 per household#61 of 472 20.6%#336 of 472 Jigani Bagh 502#313 of 472 99#264 of 472 60.3%#433 of 472 1,136 per 1,000 males#111 of 470 5.07 per household#457 of 472 24.3%#226 of 472 Chandouli 501#314 of 472 82#299 of 472 76.3%#153 of 472 1,114 per 1,000 males#140 of 470 6.11 per household#337 of 472 37.3%#73 of 472 Puraini 501#314 of 472 80#302 of 472 81.1%#49 of 472 988 per 1,000 males#326 of 470 6.26 per household#293 of 472 25.1%#208 of 472 Nagawa 498#316 of 472 69#326 of 472 56.9%#446 of 472 1,041 per 1,000 males#234 of 470 7.22 per household#75 of 472 21.3%#312 of 472 Nonia Chhapar 485#317 of 472 54#369 of 472 75.2%#184 of 472 1,029 per 1,000 males#257 of 470 8.98 per household#10 of 472 27.4%#165 of 472 Parsia Ali 484#318 of 472 79#305 of 472 81.5%#46 of 472 1,000 per 1,000 males#297 of 470 6.13 per household#328 of 472 56.8%#14 of 472 Harnahi 477#319 of 472 69#326 of 472 76.7%#148 of 472 1,013 per 1,000 males#276 of 470 6.91 per household#123 of 472 31.2%#123 of 472 Thedawal Gyas 474#320 of 472 84#294 of 472 70.2%#325 of 472 1,070 per 1,000 males#188 of 470 5.64 per household#428 of 472 35.0%#85 of 472 Kakarouli 472#321 of 472 54#369 of 472 84.8%#20 of 472 903 per 1,000 males#433 of 470 8.74 per household#12 of 472 10.2%#456 of 472 Gumathi 465#322 of 472 72#320 of 472 78.6%#98 of 472 1,058 per 1,000 males#206 of 470 6.46 per household#239 of 472 30.8%#129 of 472 Kodra Harischandra 465#322 of 472 71#322 of 472 80.5%#58 of 472 954 per 1,000 males#377 of 470 6.55 per household#222 of 472 21.1%#320 of 472 Jamuna 463#324 of 472 81#300 of 472 78.6%#98 of 472 1,270 per 1,000 males#30 of 470 5.72 per household#419 of 472 20.1%#343 of 472 Matiara 462#325 of 472 70#324 of 472 77.2%#131 of 472 933 per 1,000 males#402 of 470 6.60 per household#209 of 472 46.3%#34 of 472 Barwa 461#326 of 472 66#334 of 472 78.2%#110 of 472 1,013 per 1,000 males#276 of 470 6.98 per household#115 of 472 24.9%#212 of 472 Maropar 453#327 of 472 84#294 of 472 56.3%#450 of 472 1,013 per 1,000 males#276 of 470 5.39 per household#449 of 472 55.8%#15 of 472 Pivkol 452#328 of 472 79#305 of 472 55.5%#455 of 472 1,055 per 1,000 males#213 of 470 5.72 per household#419 of 472 26.3%#186 of 472 Goura Pandey 449#329 of 472 80#302 of 472 75.4%#179 of 472 1,169 per 1,000 males#84 of 470 5.61 per household#432 of 472 34.1%#95 of 472 Mankarpur 444#330 of 472 74#315 of 472 78.7%#97 of 472 1,046 per 1,000 males#229 of 470 6.00 per household#370 of 472 11.7%#452 of 472 Chakarwa Ramasray Das 443#331 of 472 66#334 of 472 63.9%#416 of 472 943 per 1,000 males#392 of 470 6.71 per household#183 of 472 24.6%#219 of 472 Bartha Baabu 442#332 of 472 60#346 of 472 65.9%#396 of 472 1,278 per 1,000 males#28 of 470 7.37 per household#64 of 472 16.7%#413 of 472 Anuapar 441#333 of 472 60#346 of 472 84.2%#22 of 472 1,023 per 1,000 males#264 of 470 7.35 per household#66 of 472 25.2%#206 of 472 Barari 437#334 of 472 76#310 of 472 57.8%#441 of 472 934 per 1,000 males#400 of 470 5.75 per household#414 of 472 16.5%#416 of 472 Muraso 436#335 of 472 68#331 of 472 70.0%#330 of 472 1,076 per 1,000 males#181 of 470 6.41 per household#253 of 472 11.9%#450 of 472 Bardiha 433#336 of 472 68#331 of 472 62.7%#423 of 472 1,133 per 1,000 males#118 of 470 6.37 per household#268 of 472 11.1%#455 of 472 Putari 430#337 of 472 71#322 of 472 64.2%#412 of 472 1,183 per 1,000 males#75 of 470 6.06 per household#353 of 472 32.6%#110 of 472 Madan Mahuawa 422#338 of 472 69#326 of 472 70.8%#311 of 472 918 per 1,000 males#423 of 470 6.12 per household#332 of 472 23.9%#232 of 472 Kapuri 420#339 of 472 56#359 of 472 77.3%#130 of 472 850 per 1,000 males#454 of 470 7.50 per household#51 of 472 78.8%#2 of 472 Maghhagawan 418#340 of 472 55#362 of 472 54.2%#458 of 472 1,362 per 1,000 males#15 of 470 7.60 per household#48 of 472 10.0%#457 of 472 Jogapur 417#341 of 472 56#359 of 472 72.6%#262 of 472 904 per 1,000 males#431 of 470 7.45 per household#56 of 472 30.9%#128 of 472 Gaonria 416#342 of 472 56#359 of 472 75.5%#175 of 472 1,213 per 1,000 males#51 of 470 7.43 per household#57 of 472 34.4%#89 of 472 Pakhaoli 415#343 of 472 77#307 of 472 69.3%#347 of 472 1,196 per 1,000 males#62 of 470 5.39 per household#449 of 472 19.5%#360 of 472 Narouli Sangram 410#344 of 472 58#355 of 472 81.8%#44 of 472 934 per 1,000 males#400 of 470 7.07 per household#97 of 472 21.7%#301 of 472 Putara 410#344 of 472 59#352 of 472 67.1%#380 of 472 1,113 per 1,000 males#142 of 470 6.95 per household#121 of 472 16.6%#415 of 472 Balpar 409#346 of 472 64#340 of 472 58.8%#438 of 472 911 per 1,000 males#426 of 470 6.39 per household#260 of 472 20.0%#345 of 472 Misrouli 409#346 of 472 65#337 of 472 79.3%#83 of 472 1,298 per 1,000 males#24 of 470 6.29 per household#289 of 472 26.2%#187 of 472 Sajhawar 400#348 of 472 73#318 of 472 63.5%#420 of 472 1,139 per 1,000 males#107 of 470 5.48 per household#442 of 472 8.5%#459 of 472 Siswa Dixit 396#349 of 472 55#362 of 472 84.0%#24 of 472 1,052 per 1,000 males#221 of 470 7.20 per household#78 of 472 18.9%#373 of 472 Devpar 393#350 of 472 53#373 of 472 79.5%#75 of 472 985 per 1,000 males#335 of 470 7.42 per household#58 of 472 17.8%#395 of 472 Sonhoula 393#350 of 472 66#334 of 472 66.2%#393 of 472 1,196 per 1,000 males#62 of 470 5.95 per household#380 of 472 23.9%#232 of 472 Jogapur Maphy 392#352 of 472 57#357 of 472 77.9%#118 of 472 931 per 1,000 males#406 of 470 6.88 per household#127 of 472 21.7%#301 of 472 Pachdeura 390#353 of 472 61#345 of 472 72.0%#277 of 472 1,203 per 1,000 males#56 of 470 6.39 per household#260 of 472 22.3%#285 of 472 Jogia 389#354 of 472 64#340 of 472 80.5%#59 of 472 1,137 per 1,000 males#109 of 470 6.08 per household#349 of 472 34.2%#92 of 472 Raipurwa 389#354 of 472 59#352 of 472 77.9%#119 of 472 985 per 1,000 males#335 of 470 6.59 per household#212 of 472 26.5%#182 of 472 Bardiha 386#356 of 472 67#333 of 472 55.7%#453 of 472 1,010 per 1,000 males#283 of 470 5.76 per household#409 of 472 23.6%#237 of 472 Ghusari 384#357 of 472 55#362 of 472 83.1%#27 of 472 1,098 per 1,000 males#153 of 470 6.98 per household#115 of 472 19.8%#354 of 472 Pahetiya पहेतिया तप्पा वलिया 374#358 of 472 59#352 of 472 75.2%#185 of 472 1,055 per 1,000 males#213 of 470 6.34 per household#278 of 472 21.4%#308 of 472 Bhikham Chhapar 368#359 of 472 60#346 of 472 80.3%#62 of 472 937 per 1,000 males#396 of 470 6.13 per household#328 of 472 32.1%#116 of 472 Chandha Urf Patlapur 366#360 of 472 57#357 of 472 80.2%#64 of 472 877 per 1,000 males#446 of 470 6.42 per household#251 of 472 20.8%#330 of 472 Padmapar 366#360 of 472 58#355 of 472 74.0%#222 of 472 978 per 1,000 males#344 of 470 6.31 per household#284 of 472 22.4%#280 of 472 Thoka Churaman 365#362 of 472 55#362 of 472 80.0%#65 of 472 1,135 per 1,000 males#114 of 470 6.64 per household#199 of 472 21.1%#320 of 472 Kodara Sri Ram 363#363 of 472 64#340 of 472 77.5%#126 of 472 1,241 per 1,000 males#39 of 470 5.67 per household#425 of 472 19.0%#372 of 472 Tengawal Dubey 363#363 of 472 60#346 of 472 82.3%#37 of 472 852 per 1,000 males#452 of 470 6.05 per household#356 of 472 27.3%#167 of 472 Sakhouli 360#365 of 472 55#362 of 472 72.4%#271 of 472 946 per 1,000 males#387 of 470 6.55 per household#222 of 472 26.1%#189 of 472 Sonhouli 360#365 of 472 65#337 of 472 72.5%#264 of 472 957 per 1,000 males#370 of 470 5.54 per household#435 of 472 28.1%#154 of 472 Thagewal Tiwari 360#365 of 472 60#346 of 472 82.0%#40 of 472 1,118 per 1,000 males#133 of 470 6.00 per household#370 of 472 16.4%#419 of 472 Mahuawa Pandey 359#368 of 472 53#373 of 472 87.8%#13 of 472 1,075 per 1,000 males#182 of 470 6.77 per household#160 of 472 17.0%#409 of 472 Douari Rajamal 358#369 of 472 62#344 of 472 76.6%#149 of 472 1,069 per 1,000 males#189 of 470 5.77 per household#408 of 472 21.2%#317 of 472 Pakari 357#370 of 472 51#380 of 472 70.3%#323 of 472 1,177 per 1,000 males#79 of 470 7.00 per household#108 of 472 15.4%#432 of 472 Sakarapar 354#371 of 472 53#373 of 472 74.5%#200 of 472 1,185 per 1,000 males#73 of 470 6.68 per household#193 of 472 40.7%#58 of 472 Inarha 352#372 of 472 45#391 of 472 79.2%#87 of 472 956 per 1,000 males#374 of 470 7.82 per household#34 of 472 24.1%#229 of 472 Bhawani Chhapar 351#373 of 472 51#380 of 472 75.6%#174 of 472 1,222 per 1,000 males#44 of 470 6.88 per household#127 of 472 19.1%#369 of 472 Chak Morwa 343#374 of 472 55#362 of 472 74.4%#203 of 472 960 per 1,000 males#365 of 470 6.24 per household#301 of 472 19.5%#360 of 472 Bhanwan Pura 334#375 of 472 48#387 of 472 74.0%#222 of 472 988 per 1,000 males#326 of 470 6.96 per household#117 of 472 32.6%#110 of 472 Nipania 332#376 of 472 54#369 of 472 64.8%#406 of 472 1,012 per 1,000 males#280 of 470 6.15 per household#322 of 472 54.2%#17 of 472 Radi 332#376 of 472 49#385 of 472 70.9%#306 of 472 1,199 per 1,000 males#60 of 470 6.78 per household#156 of 472 45.5%#37 of 472 Baldev Chhapara 331#378 of 472 50#382 of 472 70.1%#327 of 472 970 per 1,000 males#354 of 470 6.62 per household#205 of 472 20.8%#330 of 472 Kuichwar 329#379 of 472 50#382 of 472 51.0%#462 of 472 798 per 1,000 males#460 of 470 6.58 per household#214 of 472 21.0%#324 of 472 Thegawal Tilakram 317#380 of 472 43#396 of 472 71.6%#288 of 472 994 per 1,000 males#312 of 470 7.37 per household#64 of 472 48.3%#26 of 472 Parsiya Abhilakh परसिया अभिलाष 315#381 of 472 54#369 of 472 88.4%#12 of 472 1,316 per 1,000 males#18 of 470 5.83 per household#398 of 472 22.5%#277 of 472 Sarkara 315#381 of 472 60#346 of 472 72.9%#249 of 472 1,299 per 1,000 males#23 of 470 5.25 per household#455 of 472 49.8%#22 of 472 Misrouli 309#383 of 472 45#391 of 472 56.3%#449 of 472 907 per 1,000 males#428 of 470 6.87 per household#131 of 472 24.3%#226 of 472 Bankata Urf Bhitha 307#384 of 472 53#373 of 472 70.5%#320 of 472 981 per 1,000 males#343 of 470 5.79 per household#404 of 472 26.7%#177 of 472 Dhangari 305#385 of 472 53#373 of 472 79.2%#88 of 472 1,075 per 1,000 males#182 of 470 5.75 per household#414 of 472 21.6%#304 of 472 Ekgharwa 301#386 of 472 50#382 of 472 74.2%#211 of 472 905 per 1,000 males#430 of 470 6.02 per household#364 of 472 32.2%#115 of 472 Shiv Datt Chhapia 300#387 of 472 44#393 of 472 80.9%#53 of 472 923 per 1,000 males#415 of 470 6.82 per household#148 of 472 66.3%#5 of 472 Damodara 299#388 of 472 46#390 of 472 79.6%#71 of 472 892 per 1,000 males#441 of 470 6.50 per household#234 of 472 18.1%#389 of 472 Rautpar Ghat 297#389 of 472 52#378 of 472 68.8%#357 of 472 1,216 per 1,000 males#50 of 470 5.71 per household#421 of 472 16.8%#411 of 472 Padouli 291#390 of 472 43#396 of 472 55.4%#456 of 472 1,273 per 1,000 males#29 of 470 6.77 per household#160 of 472 18.9%#373 of 472 Murar Bari 290#391 of 472 47#389 of 472 47.7%#465 of 472 1,117 per 1,000 males#135 of 470 6.17 per household#319 of 472 33.4%#103 of 472 Basdev Chak 283#392 of 472 72#320 of 472 61.0%#431 of 472 1,081 per 1,000 males#179 of 470 3.93 per household#467 of 472 42.0%#52 of 472 Taldiha 283#392 of 472 52#378 of 472 77.1%#139 of 472 1,007 per 1,000 males#285 of 470 5.44 per household#446 of 472 32.5%#112 of 472 Benipur 281#394 of 472 49#385 of 472 64.3%#411 of 472 965 per 1,000 males#362 of 470 5.73 per household#418 of 472 36.7%#77 of 472 Palia 276#395 of 472 30#410 of 472 59.1%#437 of 472 1,123 per 1,000 males#127 of 470 9.20 per household#7 of 472 28.3%#152 of 472 Pakari Ojha 274#396 of 472 44#393 of 472 65.4%#401 of 472 1,030 per 1,000 males#255 of 470 6.23 per household#303 of 472 41.6%#54 of 472 Dharampur धरमपुर तप्पा सलेमपुर 259#397 of 472 48#387 of 472 35.1%#469 of 472 1,089 per 1,000 males#166 of 470 5.40 per household#448 of 472 46.7%#31 of 472 Budhanpura 255#398 of 472 44#393 of 472 76.8%#146 of 472 1,257 per 1,000 males#31 of 470 5.80 per household#402 of 472 15.3%#433 of 472 Sohanag 242#399 of 472 41#399 of 472 81.8%#42 of 472 779 per 1,000 males#461 of 470 5.90 per household#386 of 472 18.2%#387 of 472 Diyadhar 241#400 of 472 36#402 of 472 73.8%#229 of 472 1,060 per 1,000 males#204 of 470 6.69 per household#190 of 472 17.4%#403 of 472 Damodarpur 237#401 of 472 36#402 of 472 82.6%#33 of 472 823 per 1,000 males#458 of 470 6.58 per household#214 of 472 20.3%#341 of 472 Maharaj Pur 235#402 of 472 38#400 of 472 63.4%#421 of 472 1,282 per 1,000 males#26 of 470 6.18 per household#316 of 472 15.3%#433 of 472 Garha Budhiram 228#403 of 472 43#396 of 472 78.5%#104 of 472 1,151 per 1,000 males#96 of 470 5.30 per household#453 of 472 19.7%#356 of 472 Usarha 224#404 of 472 30#410 of 472 56.6%#447 of 472 1,055 per 1,000 males#213 of 470 7.47 per household#55 of 472 46.9%#30 of 472 Babhnouli Chhatriy 219#405 of 472 38#400 of 472 78.8%#95 of 472 1,009 per 1,000 males#284 of 470 5.76 per household#409 of 472 33.8%#100 of 472 Rangouli 213#406 of 472 33#406 of 472 69.3%#345 of 472 1,048 per 1,000 males#224 of 470 6.45 per household#243 of 472 11.3%#454 of 472 Manakpur 208#407 of 472 36#402 of 472 84.2%#23 of 472 1,039 per 1,000 males#236 of 470 5.78 per household#405 of 472 21.2%#317 of 472 Tekanpura 199#408 of 472 23#421 of 472 77.2%#132 of 472 1,187 per 1,000 males#70 of 470 8.65 per household#15 of 472 30.2%#133 of 472 Babhnouli Babu 195#409 of 472 26#417 of 472 66.7%#385 of 472 773 per 1,000 males#463 of 470 7.50 per household#51 of 472 22.6%#273 of 472 Corouli Dakhila 194#410 of 472 32#407 of 472 57.1%#443 of 472 921 per 1,000 males#419 of 470 6.06 per household#353 of 472 16.0%#424 of 472 Ghorahat 193#411 of 472 35#405 of 472 70.0%#329 of 472 1,244 per 1,000 males#38 of 470 5.51 per household#439 of 472 22.8%#268 of 472 Poutwa 190#412 of 472 28#414 of 472 74.8%#191 of 472 1,065 per 1,000 males#194 of 470 6.79 per household#153 of 472 24.2%#228 of 472 Kapuripar 182#413 of 472 32#407 of 472 91.9%#7 of 472 1,220 per 1,000 males#48 of 470 5.69 per household#424 of 472 24.7%#217 of 472 Bhawanichhapar भवानीछापर त.खुखुन्दू 177#414 of 472 23#421 of 472 53.3%#459 of 472 1,392 per 1,000 males#12 of 470 7.70 per household#42 of 472 31.1%#125 of 472 Barthi 176#415 of 472 25#418 of 472 82.6%#34 of 472 814 per 1,000 males#459 of 470 7.04 per household#101 of 472 26.1%#189 of 472 Mathila Majhawalia 170#416 of 472 29#412 of 472 57.1%#443 of 472 1,464 per 1,000 males#10 of 470 5.86 per household#394 of 472 27.6%#162 of 472 Tandwa 169#417 of 472 31#409 of 472 68.1%#371 of 472 1,253 per 1,000 males#34 of 470 5.45 per household#445 of 472 46.7%#31 of 472 Thuri 169#417 of 472 28#414 of 472 71.9%#278 of 472 1,139 per 1,000 males#107 of 470 6.04 per household#359 of 472 26.6%#180 of 472 Tipara Tulsi 165#419 of 472 27#416 of 472 87.2%#16 of 472 1,037 per 1,000 males#240 of 470 6.11 per household#337 of 472 63.0%#7 of 472 Matha Kesavram 164#420 of 472 24#419 of 472 71.5%#289 of 472 907 per 1,000 males#428 of 470 6.83 per household#143 of 472 44.5%#42 of 472 Balepur Khurd 159#421 of 472 22#423 of 472 74.3%#206 of 472 1,304 per 1,000 males#20 of 470 7.23 per household#74 of 472 23.3%#248 of 472 Birkhouli 157#422 of 472 18#430 of 472 73.2%#242 of 472 892 per 1,000 males#441 of 470 8.72 per household#13 of 472 49.7%#23 of 472 Chhapara rup छपरारूप तप्पा मईल 152#423 of 472 21#425 of 472 61.4%#429 of 472 924 per 1,000 males#414 of 470 7.24 per household#72 of 472 19.7%#356 of 472 Surjipur 152#423 of 472 22#423 of 472 70.2%#326 of 472 1,171 per 1,000 males#82 of 470 6.91 per household#123 of 472 1.3%#468 of 472 Parsia Dilram 147#425 of 472 20#427 of 472 78.8%#95 of 472 709 per 1,000 males#467 of 470 7.35 per household#66 of 472 42.2%#51 of 472 Tairia 145#426 of 472 29#412 of 472 80.0%#65 of 472 1,197 per 1,000 males#61 of 470 5.00 per household#459 of 472 42.8%#47 of 472 Tenua 139#427 of 472 15#437 of 472 99.2%#5 of 472 931 per 1,000 males#406 of 470 9.27 per household#6 of 472 4.3%#466 of 472 TharuwaBhar थरुआभार तप्पा वरसीपार 134#428 of 472 20#427 of 472 51.9%#461 of 472 1,000 per 1,000 males#297 of 470 6.70 per household#185 of 472 17.2%#407 of 472 Bahorwa 129#429 of 472 21#425 of 472 31.7%#470 of 472 897 per 1,000 males#437 of 470 6.14 per household#325 of 472 47.3%#29 of 472 Kodara Chintamani 124#430 of 472 16#435 of 472 75.5%#176 of 472 1,033 per 1,000 males#249 of 470 7.75 per household#38 of 472 21.0%#324 of 472 Loharapar 121#431 of 472 17#431 of 472 68.0%#372 of 472 1,241 per 1,000 males#39 of 470 7.12 per household#89 of 472 8.3%#460 of 472 Thara 119#432 of 472 20#427 of 472 79.2%#84 of 472 1,380 per 1,000 males#13 of 470 5.95 per household#380 of 472 31.9%#120 of 472 Phariyav Dih 104#433 of 472 17#431 of 472 67.7%#374 of 472 1,000 per 1,000 males#297 of 470 6.12 per household#332 of 472 42.3%#50 of 472 Chak Deoria 100#434 of 472 17#431 of 472 74.2%#212 of 472 1,128 per 1,000 males#121 of 470 5.88 per household#389 of 472 20.0%#345 of 472 Kisun Mahuawa 98#435 of 472 14#438 of 472 74.1%#213 of 472 750 per 1,000 males#464 of 470 7.00 per household#108 of 472 26.5%#182 of 472 Mundera 98#435 of 472 14#438 of 472 70.9%#304 of 472 1,513 per 1,000 males#6 of 470 7.00 per household#108 of 472 29.6%#139 of 472 Mugarouli 97#437 of 472 17#431 of 472 78.2%#112 of 472 1,156 per 1,000 males#91 of 470 5.71 per household#421 of 472 25.8%#199 of 472 Chakra Nadawar 87#438 of 472 16#435 of 472 89.5%#10 of 472 933 per 1,000 males#402 of 470 5.44 per household#446 of 472 28.7%#148 of 472 Chak Bibi Hajam Urf Shampur 81#439 of 472 10#443 of 472 70.8%#310 of 472 1,250 per 1,000 males#35 of 470 8.10 per household#22 of 472 18.5%#379 of 472 Bhiswa 79#440 of 472 14#438 of 472 55.1%#457 of 472 927 per 1,000 males#411 of 470 5.64 per household#428 of 472 15.2%#435 of 472 Chak Mustfa 72#441 of 472 8#447 of 472 87.3%#15 of 472 1,057 per 1,000 males#210 of 470 9.00 per household#8 of 472 29.2%#144 of 472 Samara 70#442 of 472 10#443 of 472 74.6%#197 of 472 1,121 per 1,000 males#130 of 470 7.00 per household#108 of 472 58.6%#10 of 472 Chakarwa 63#443 of 472 13#441 of 472 72.4%#268 of 472 1,333 per 1,000 males#16 of 470 4.85 per household#463 of 472 25.4%#203 of 472 Babhania Hardo 62#444 of 472 11#442 of 472 59.2%#436 of 472 1,067 per 1,000 males#191 of 470 5.64 per household#428 of 472 33.9%#98 of 472 Nagawa 60#445 of 472 24#419 of 472 27.7%#471 of 472 1,727 per 1,000 males#5 of 470 2.50 per household#469 of 472 58.3%#12 of 472 Majhawalia Tengar 59#446 of 472 10#443 of 472 56.5%#448 of 472 967 per 1,000 males#357 of 470 5.90 per household#386 of 472 22.0%#296 of 472 Thagwal Kapoor 55#447 of 472 9#446 of 472 89.8%#9 of 472 719 per 1,000 males#465 of 470 6.11 per household#337 of 472 38.2%#68 of 472 Chourha 44#448 of 472 5#451 of 472 90.9%#8 of 472 1,000 per 1,000 males#297 of 470 8.80 per household#11 of 472 15.9%#428 of 472 Narayanpur 41#449 of 472 6#448 of 472 66.7%#385 of 472 952 per 1,000 males#380 of 470 6.83 per household#143 of 472 43.9%#43 of 472 Bagapar 40#450 of 472 6#448 of 472 17.2%#472 of 472 1,222 per 1,000 males#44 of 470 6.67 per household#194 of 472 17.5%#402 of 472 Dubouli 39#451 of 472 6#448 of 472 82.9%#30 of 472 1,053 per 1,000 males#220 of 470 6.50 per household#234 of 472 43.6%#44 of 472 Bankata Diksit 26#452 of 472 2#459 of 472 75.0%#187 of 472 1,167 per 1,000 males#86 of 470 13.00 per household#1 of 472 26.9%#172 of 472 Pipra Thakur 25#453 of 472 3#453 of 472 71.4%#294 of 472 923 per 1,000 males#415 of 470 8.33 per household#18 of 472 16.0%#424 of 472 Tenua 18#454 of 472 3#453 of 472 69.2%#348 of 472 2,000 per 1,000 males#3 of 470 6.00 per household#370 of 472 5.6%#464 of 472 Atahar 17#455 of 472 3#453 of 472 78.6%#101 of 472 2,400 per 1,000 males#2 of 470 5.67 per household#425 of 472 11.8%#451 of 472 Kasba Bag 17#455 of 472 3#453 of 472 81.8%#42 of 472 1,833 per 1,000 males#4 of 470 5.67 per household#425 of 472 23.5%#240 of 472 Baidwali 15#457 of 472 4#452 of 472 53.3%#459 of 472 1,500 per 1,000 males#7 of 470 3.75 per household#468 of 472 33.3%#104 of 472 Deoria 13#458 of 472 3#453 of 472 84.6%#21 of 472 444 per 1,000 males#470 of 470 4.33 per household#464 of 472 30.8%#129 of 472 Chakrawa 12#459 of 472 1#464 of 472 100.0%#1 of 472 1,400 per 1,000 males#11 of 470 12.00 per household#2 of 472 8.3%#460 of 472 Murar Madhaw 12#459 of 472 3#453 of 472 58.3%#439 of 472 714 per 1,000 males#466 of 470 4.00 per household#465 of 472 58.3%#12 of 472 Bhabhnauli khurd बभनौली खुर्द 11#461 of 472 2#459 of 472 44.4%#466 of 472 1,200 per 1,000 males#58 of 470 5.50 per household#440 of 472 45.5%#37 of 472 Kaithouli Urf Bhatouli 11#461 of 472 2#459 of 472 66.7%#385 of 472 833 per 1,000 males#457 of 470 5.50 per household#440 of 472 45.5%#37 of 472 Kodra Parsadi 10#463 of 472 2#459 of 472 71.4%#294 of 472 1,500 per 1,000 males#7 of 470 5.00 per household#459 of 472 0.0%#470 of 472 Sasana 10#463 of 472 1#464 of 472 80.0%#65 of 472 1,000 per 1,000 males#297 of 470 10.00 per household#3 of 472 30.0%#136 of 472 Dhamouli 9#465 of 472 1#464 of 472 55.6%#454 of 472 1,250 per 1,000 males#35 of 470 9.00 per household#8 of 472 33.3%#104 of 472 Chak Farid 7#466 of 472 1#464 of 472 57.1%#443 of 472 1,333 per 1,000 males#16 of 470 7.00 per household#108 of 472 42.9%#46 of 472 Babhanouli 5#467 of 472 1#464 of 472 60.0%#434 of 472 667 per 1,000 males#468 of 470 5.00 per household#459 of 472 20.0%#345 of 472 Chak Jhulan 5#467 of 472 1#464 of 472 60.0%#434 of 472 667 per 1,000 males#468 of 470 5.00 per household#459 of 472 20.0%#345 of 472 Pipra Rohina 5#467 of 472 2#459 of 472 40.0%#467 of 472 1,500 per 1,000 males#7 of 470 2.50 per household#469 of 472 20.0%#345 of 472 Pipra Garib 4#470 of 472 1#464 of 472 100.0%#1 of 472 3,000 per 1,000 males#1 of 470 4.00 per household#465 of 472 0.0%#470 of 472 Bishunpura 1#471 of 472 1#464 of 472 100.0%#1 of 472 — 1.00 per household#471 of 472 100.0%#1 of 472 Paikouli 1#471 of 472 1#464 of 472 100.0%#1 of 472 — 1.00 per household#471 of 472 0.0%#470 of 472 