Ghuman (61) 6,601#1 of 297 1,244#1 of 297 80.0%#54 of 297 919 per 1,000 males#110 of 297 5.31 per household#128 of 297 31.2%#162 of 297 Mari Buchian (6) 5,311#2 of 297 1,050#2 of 297 78.6%#69 of 297 925 per 1,000 males#90 of 297 5.06 per household#214 of 297 27.7%#253 of 297 Harchowal (33) 5,291#3 of 297 973#3 of 297 72.1%#198 of 297 943 per 1,000 males#63 of 297 5.44 per household#91 of 297 28.8%#231 of 297 Bhagowal (256) 4,881#4 of 297 942#4 of 297 76.2%#105 of 297 964 per 1,000 males#38 of 297 5.18 per household#165 of 297 29.3%#215 of 297 Aulakh (21) 4,717#5 of 297 866#5 of 297 69.9%#237 of 297 895 per 1,000 males#186 of 297 5.45 per household#86 of 297 35.3%#88 of 297 Dalla (168) 4,257#6 of 297 781#7 of 297 72.4%#192 of 297 866 per 1,000 males#242 of 297 5.45 per household#86 of 297 28.7%#234 of 297 Bham (32) 4,250#7 of 297 716#10 of 297 73.4%#161 of 297 909 per 1,000 males#140 of 297 5.94 per household#26 of 297 32.9%#122 of 297 Dakoha (66) 4,066#8 of 297 784#6 of 297 71.0%#218 of 297 920 per 1,000 males#106 of 297 5.19 per household#160 of 297 34.5%#99 of 297 Wadala Granthian (190) 4,015#9 of 297 774#8 of 297 69.1%#249 of 297 910 per 1,000 males#135 of 297 5.19 per household#160 of 297 31.1%#165 of 297 Marar (299) 3,899#10 of 297 714#11 of 297 69.0%#252 of 297 880 per 1,000 males#217 of 297 5.46 per household#83 of 297 32.3%#135 of 297 Dhadiala Natt (296) 3,878#11 of 297 714#11 of 297 71.7%#206 of 297 829 per 1,000 males#281 of 297 5.43 per household#93 of 297 31.4%#159 of 297 Veela Bajju (75) 3,851#12 of 297 728#9 of 297 73.4%#156 of 297 983 per 1,000 males#22 of 297 5.29 per household#133 of 297 29.3%#215 of 297 Rangar Nangal (115) 3,592#13 of 297 648#16 of 297 70.9%#219 of 297 902 per 1,000 males#161 of 297 5.54 per household#69 of 297 36.0%#79 of 297 Basrai (170) 3,565#14 of 297 669#13 of 297 73.7%#151 of 297 924 per 1,000 males#92 of 297 5.33 per household#119 of 297 42.4%#42 of 297 Mari Panwan (13) 3,388#15 of 297 633#18 of 297 73.8%#145 of 297 940 per 1,000 males#70 of 297 5.35 per household#115 of 297 47.6%#28 of 297 Dharamkot Bagga (250) 3,379#16 of 297 664#14 of 297 68.7%#255 of 297 911 per 1,000 males#134 of 297 5.09 per household#204 of 297 36.8%#75 of 297 Cheema (49) 3,371#17 of 297 597#23 of 297 72.9%#171 of 297 897 per 1,000 males#177 of 297 5.65 per household#51 of 297 30.6%#190 of 297 Khajala (40) 3,359#18 of 297 650#15 of 297 70.5%#225 of 297 924 per 1,000 males#92 of 297 5.17 per household#170 of 297 28.2%#246 of 297 Bhamri (34) 3,327#19 of 297 637#17 of 297 66.7%#272 of 297 923 per 1,000 males#98 of 297 5.22 per household#153 of 297 31.1%#165 of 297 Kahalwan (169) 3,326#20 of 297 583#25 of 297 64.8%#282 of 297 905 per 1,000 males#152 of 297 5.70 per household#47 of 297 44.8%#34 of 297 Kiri Afgana (20) 3,294#21 of 297 585#24 of 297 70.2%#233 of 297 915 per 1,000 males#122 of 297 5.63 per household#53 of 297 32.6%#130 of 297 Ladha Munda (86) 3,258#22 of 297 620#19 of 297 74.4%#135 of 297 905 per 1,000 males#152 of 297 5.25 per household#143 of 297 37.6%#70 of 297 Panj Graian (154) 3,238#23 of 297 598#22 of 297 73.4%#159 of 297 876 per 1,000 males#226 of 297 5.41 per household#100 of 297 31.0%#170 of 297 Jaito Sarja (132) 3,184#24 of 297 605#21 of 297 75.5%#119 of 297 939 per 1,000 males#73 of 297 5.26 per household#141 of 297 35.8%#82 of 297 Talwandi Bharth (271) 3,150#25 of 297 583#25 of 297 68.1%#263 of 297 891 per 1,000 males#199 of 297 5.40 per household#102 of 297 30.9%#174 of 297 Dhapai (35) 3,083#26 of 297 612#20 of 297 73.6%#153 of 297 924 per 1,000 males#92 of 297 5.04 per household#218 of 297 30.7%#186 of 297 Masanian (197) 3,040#27 of 297 578#27 of 297 75.0%#126 of 297 874 per 1,000 males#230 of 297 5.26 per household#141 of 297 46.2%#31 of 297 Bharth (37) 2,886#28 of 297 562#29 of 297 66.9%#270 of 297 866 per 1,000 males#242 of 297 5.14 per household#181 of 297 39.4%#52 of 297 Harpura (160) 2,864#29 of 297 479#32 of 297 69.4%#246 of 297 894 per 1,000 males#189 of 297 5.98 per household#19 of 297 37.9%#65 of 297 Tawandi Lal Singh (281) 2,786#30 of 297 553#30 of 297 70.5%#228 of 297 900 per 1,000 males#168 of 297 5.04 per household#218 of 297 35.0%#92 of 297 Chahal Kalan (133) 2,696#31 of 297 565#28 of 297 78.0%#79 of 297 938 per 1,000 males#75 of 297 4.77 per household#274 of 297 32.8%#123 of 297 Chaudhriwal (112) 2,654#32 of 297 467#34 of 297 72.0%#201 of 297 923 per 1,000 males#98 of 297 5.68 per household#48 of 297 31.8%#147 of 297 Leel Kalan (167) 2,531#33 of 297 453#36 of 297 73.7%#150 of 297 977 per 1,000 males#28 of 297 5.59 per household#59 of 297 26.7%#268 of 297 Mulianwali (283) 2,522#34 of 297 496#31 of 297 70.6%#223 of 297 889 per 1,000 males#205 of 297 5.08 per household#208 of 297 31.2%#162 of 297 Bhamboi (146) 2,504#35 of 297 444#37 of 297 73.7%#147 of 297 901 per 1,000 males#164 of 297 5.64 per household#52 of 297 30.2%#199 of 297 Mathola (31) 2,403#36 of 297 479#32 of 297 72.7%#183 of 297 910 per 1,000 males#135 of 297 5.02 per household#227 of 297 29.1%#222 of 297 Bolewal (80) 2,387#37 of 297 436#39 of 297 75.8%#111 of 297 899 per 1,000 males#171 of 297 5.47 per household#80 of 297 27.4%#259 of 297 Bahadarpur Rajoa (18) 2,305#38 of 297 459#35 of 297 64.7%#284 of 297 942 per 1,000 males#65 of 297 5.02 per household#227 of 297 30.2%#199 of 297 Sarupwali (292) 2,294#39 of 297 420#44 of 297 75.9%#107 of 297 870 per 1,000 males#236 of 297 5.46 per household#83 of 297 42.7%#39 of 297 Hardo Jhanda (288) 2,291#40 of 297 437#38 of 297 71.2%#214 of 297 904 per 1,000 males#154 of 297 5.24 per household#148 of 297 30.3%#197 of 297 Dabanwala (275) 2,283#41 of 297 421#42 of 297 66.9%#270 of 297 891 per 1,000 males#199 of 297 5.42 per household#97 of 297 25.4%#282 of 297 Sunaiyah (284) 2,246#42 of 297 436#39 of 297 66.6%#274 of 297 975 per 1,000 males#30 of 297 5.15 per household#175 of 297 38.4%#60 of 297 Ainokot (105) 2,230#43 of 297 414#48 of 297 69.7%#242 of 297 904 per 1,000 males#154 of 297 5.39 per household#104 of 297 29.0%#224 of 297 Bhattiwal (43) 2,229#44 of 297 426#41 of 297 73.7%#148 of 297 928 per 1,000 males#88 of 297 5.23 per household#150 of 297 33.5%#107 of 297 Bahadar Husain (206) 2,209#45 of 297 402#51 of 297 75.9%#109 of 297 847 per 1,000 males#269 of 297 5.50 per household#73 of 297 46.4%#30 of 297 Kandila (164) 2,162#46 of 297 421#42 of 297 77.5%#85 of 297 854 per 1,000 males#264 of 297 5.14 per household#181 of 297 50.3%#23 of 297 Boja (82) 2,155#47 of 297 419#46 of 297 74.7%#132 of 297 861 per 1,000 males#249 of 297 5.14 per household#181 of 297 34.2%#104 of 297 Purian Kalan (123) 2,153#48 of 297 420#44 of 297 69.3%#248 of 297 907 per 1,000 males#149 of 297 5.13 per household#188 of 297 40.8%#46 of 297 Qila Lal Singh (254) 2,141#49 of 297 382#60 of 297 80.6%#46 of 297 860 per 1,000 males#251 of 297 5.60 per household#57 of 297 26.8%#266 of 297 Ammo Nangal (139) 2,135#50 of 297 403#50 of 297 72.6%#187 of 297 863 per 1,000 males#246 of 297 5.30 per household#131 of 297 28.9%#227 of 297 Akarpura (391) 2,130#51 of 297 415#47 of 297 63.2%#288 of 297 991 per 1,000 males#18 of 297 5.13 per household#188 of 297 33.1%#118 of 297 Jaura Singha (249) 2,126#52 of 297 395#54 of 297 69.0%#251 of 297 860 per 1,000 males#251 of 297 5.38 per household#106 of 297 28.6%#238 of 297 Ballewal (247) 2,102#53 of 297 375#62 of 297 69.7%#240 of 297 892 per 1,000 males#197 of 297 5.61 per household#55 of 297 28.5%#239 of 297 Bal (290) 2,089#54 of 297 396#53 of 297 71.2%#212 of 297 940 per 1,000 males#70 of 297 5.28 per household#138 of 297 31.0%#170 of 297 Udhanwal (99) 2,088#55 of 297 368#63 of 297 86.1%#13 of 297 953 per 1,000 males#51 of 297 5.67 per household#50 of 297 31.8%#147 of 297 Pandori(89) 2,081#56 of 297 398#52 of 297 71.1%#215 of 297 888 per 1,000 males#206 of 297 5.23 per household#150 of 297 34.9%#93 of 297 Rampur (173) 2,058#57 of 297 386#58 of 297 72.0%#201 of 297 956 per 1,000 males#47 of 297 5.33 per household#119 of 297 35.1%#91 of 297 Bhullar (234) 2,041#58 of 297 389#56 of 297 72.7%#184 of 297 849 per 1,000 males#266 of 297 5.25 per household#143 of 297 49.4%#25 of 297 Nathpur (174) 2,025#59 of 297 380#61 of 297 71.1%#217 of 297 860 per 1,000 males#251 of 297 5.33 per household#119 of 297 27.2%#262 of 297 Dhandoi (156) 2,015#60 of 297 394#55 of 297 75.9%#108 of 297 936 per 1,000 males#77 of 297 5.11 per household#197 of 297 37.1%#74 of 297 Mandiala (87) 1,998#61 of 297 385#59 of 297 62.0%#289 of 297 890 per 1,000 males#202 of 297 5.19 per household#160 of 297 38.5%#59 of 297 Sarwali (396) 1,987#62 of 297 387#57 of 297 71.3%#211 of 297 922 per 1,000 males#102 of 297 5.13 per household#188 of 297 44.9%#33 of 297 Dialgarh (227) 1,981#63 of 297 407#49 of 297 73.5%#154 of 297 921 per 1,000 males#105 of 297 4.87 per household#262 of 297 48.7%#26 of 297 Mahesh Dogar (17) 1,966#64 of 297 323#74 of 297 63.9%#285 of 297 918 per 1,000 males#114 of 297 6.09 per household#11 of 297 26.1%#275 of 297 Vero Nangal (118) 1,963#65 of 297 366#65 of 297 72.9%#176 of 297 893 per 1,000 males#191 of 297 5.36 per household#112 of 297 35.6%#85 of 297 Diwaniwal (199) 1,949#66 of 297 351#67 of 297 79.7%#56 of 297 896 per 1,000 males#183 of 297 5.55 per household#67 of 297 34.6%#97 of 297 Dhir (285) 1,852#67 of 297 333#72 of 297 72.5%#190 of 297 901 per 1,000 males#164 of 297 5.56 per household#65 of 297 32.0%#145 of 297 Kot Mazlas (259) 1,840#68 of 297 312#75 of 297 74.8%#130 of 297 929 per 1,000 males#86 of 297 5.90 per household#27 of 297 33.5%#107 of 297 Bajjuman (294) 1,836#69 of 297 367#64 of 297 72.8%#177 of 297 855 per 1,000 males#263 of 297 5.00 per household#237 of 297 35.9%#80 of 297 Aliwal arian (270) 1,816#70 of 297 352#66 of 297 79.2%#64 of 297 847 per 1,000 males#269 of 297 5.16 per household#172 of 297 35.7%#83 of 297 Sangrai (153) 1,801#71 of 297 287#91 of 297 75.9%#106 of 297 892 per 1,000 males#197 of 297 6.28 per household#5 of 297 30.0%#204 of 297 Taragarh(245) 1,780#72 of 297 310#76 of 297 73.1%#168 of 297 924 per 1,000 males#92 of 297 5.74 per household#40 of 297 29.3%#215 of 297 Bhoma (84) 1,736#73 of 297 349#68 of 297 70.1%#236 of 297 901 per 1,000 males#164 of 297 4.97 per household#243 of 297 31.4%#159 of 297 Mand (65) 1,733#74 of 297 299#84 of 297 74.7%#131 of 297 900 per 1,000 males#168 of 297 5.80 per household#36 of 297 31.2%#162 of 297 Talwandi Jhunglan (187) 1,718#75 of 297 335#70 of 297 68.3%#261 of 297 871 per 1,000 males#233 of 297 5.13 per household#188 of 297 28.2%#246 of 297 Misharpura (129) 1,717#76 of 297 337#69 of 297 73.2%#164 of 297 895 per 1,000 males#186 of 297 5.09 per household#204 of 297 29.3%#215 of 297 Sheikhpur (295) 1,716#77 of 297 333#72 of 297 73.4%#158 of 297 913 per 1,000 males#128 of 297 5.15 per household#175 of 297 35.4%#86 of 297 Bijliwal (257) 1,685#78 of 297 334#71 of 297 74.2%#139 of 297 881 per 1,000 males#216 of 297 5.04 per household#218 of 297 31.5%#155 of 297 Dhadayala Nazara (142) 1,670#79 of 297 299#84 of 297 72.5%#189 of 297 839 per 1,000 males#275 of 297 5.59 per household#59 of 297 28.7%#234 of 297 Basarpura (126) 1,659#80 of 297 309#78 of 297 71.1%#216 of 297 839 per 1,000 males#275 of 297 5.37 per household#107 of 297 32.7%#126 of 297 Shekhwan (138) 1,592#81 of 297 303#80 of 297 73.0%#169 of 297 893 per 1,000 males#191 of 297 5.25 per household#143 of 297 60.0%#11 of 297 Sakhowal (42) 1,560#82 of 297 303#80 of 297 70.4%#230 of 297 952 per 1,000 males#53 of 297 5.15 per household#175 of 297 39.3%#53 of 297 Padde (72) 1,557#83 of 297 297#86 of 297 77.1%#92 of 297 896 per 1,000 males#183 of 297 5.24 per household#148 of 297 31.7%#150 of 297 Shahbad (204) 1,556#84 of 297 303#80 of 297 72.5%#191 of 297 888 per 1,000 males#206 of 297 5.14 per household#181 of 297 46.2%#31 of 297 Malakpur (224) 1,539#85 of 297 307#79 of 297 73.8%#146 of 297 912 per 1,000 males#130 of 297 5.01 per household#232 of 297 25.0%#288 of 297 Kala Nangal (235) 1,537#86 of 297 262#103 of 297 74.2%#138 of 297 895 per 1,000 males#186 of 297 5.87 per household#29 of 297 30.1%#203 of 297 Kashtiwal (264) 1,535#87 of 297 294#88 of 297 64.7%#283 of 297 907 per 1,000 males#149 of 297 5.22 per household#153 of 297 30.8%#181 of 297 Dunia Sandhu (194) 1,528#88 of 297 290#90 of 297 72.6%#187 of 297 946 per 1,000 males#56 of 297 5.27 per household#140 of 297 30.8%#181 of 297 Shankerpur (282) 1,524#89 of 297 284#92 of 297 79.5%#60 of 297 941 per 1,000 males#67 of 297 5.37 per household#107 of 297 30.8%#181 of 297 Kotla Sarf (291) 1,513#90 of 297 300#83 of 297 70.6%#224 of 297 901 per 1,000 males#164 of 297 5.04 per household#218 of 297 30.9%#174 of 297 Dhaulpur (279) 1,507#91 of 297 310#76 of 297 75.7%#113 of 297 978 per 1,000 males#26 of 297 4.86 per household#264 of 297 27.9%#252 of 297 Sukala (58) 1,486#92 of 297 270#99 of 297 68.0%#264 of 297 942 per 1,000 males#65 of 297 5.50 per household#73 of 297 36.1%#77 of 297 Ghasitpur (287) 1,484#93 of 297 248#112 of 297 78.0%#78 of 297 890 per 1,000 males#202 of 297 5.98 per household#19 of 297 29.0%#224 of 297 Mirzajan (258) 1,476#94 of 297 293#89 of 297 66.3%#276 of 297 914 per 1,000 males#125 of 297 5.04 per household#218 of 297 30.9%#174 of 297 Hasanpur Khurd (125) 1,473#95 of 297 278#95 of 297 67.1%#268 of 297 876 per 1,000 males#226 of 297 5.30 per household#131 of 297 26.7%#268 of 297 Ror Khehra (401) 1,473#95 of 297 297#86 of 297 82.9%#28 of 297 948 per 1,000 males#55 of 297 4.96 per household#245 of 297 41.9%#43 of 297 Winjhwan (248) 1,460#97 of 297 273#97 of 297 78.5%#72 of 297 904 per 1,000 males#154 of 297 5.35 per household#115 of 297 44.0%#37 of 297 Nangal Jhawar (36) 1,455#98 of 297 284#92 of 297 59.2%#292 of 297 927 per 1,000 males#89 of 297 5.12 per household#195 of 297 29.7%#212 of 297 Zahadpur (120) 1,450#99 of 297 265#100 of 297 70.8%#222 of 297 859 per 1,000 males#256 of 297 5.47 per household#80 of 297 38.2%#63 of 297 Pind Purana (198) 1,439#100 of 297 263#101 of 297 71.4%#208 of 297 888 per 1,000 males#206 of 297 5.47 per household#80 of 297 28.2%#246 of 297 Bhagtupur (93) 1,420#101 of 297 258#107 of 297 76.7%#98 of 297 876 per 1,000 males#226 of 297 5.50 per household#73 of 297 35.4%#86 of 297 Dalam (398) 1,419#102 of 297 259#106 of 297 74.6%#133 of 297 897 per 1,000 males#177 of 297 5.48 per household#77 of 297 32.7%#126 of 297 Gujjarpura (265) 1,404#103 of 297 284#92 of 297 76.3%#104 of 297 835 per 1,000 males#280 of 297 4.94 per household#249 of 297 32.8%#123 of 297 Kohali (163) 1,393#104 of 297 271#98 of 297 75.6%#115 of 297 956 per 1,000 males#47 of 297 5.14 per household#181 of 297 27.4%#259 of 297 Nangal (397) 1,384#105 of 297 255#108 of 297 80.3%#51 of 297 909 per 1,000 males#140 of 297 5.43 per household#93 of 297 31.7%#150 of 297 Nangal Bhagbana (171) 1,355#106 of 297 278#95 of 297 80.9%#45 of 297 854 per 1,000 males#264 of 297 4.87 per household#262 of 297 42.9%#38 of 297 Mirpur (141) 1,354#107 of 297 261#105 of 297 75.7%#112 of 297 912 per 1,000 males#130 of 297 5.19 per household#160 of 297 33.5%#107 of 297 Darewali (74) 1,351#108 of 297 248#112 of 297 71.2%#213 of 297 922 per 1,000 males#102 of 297 5.45 per household#86 of 297 32.3%#135 of 297 Nasirpur (114) 1,341#109 of 297 251#110 of 297 72.8%#179 of 297 897 per 1,000 males#177 of 297 5.34 per household#117 of 297 22.9%#293 of 297 Hasanpur Kalan (289) 1,337#110 of 297 222#124 of 297 67.9%#265 of 297 955 per 1,000 males#49 of 297 6.02 per household#17 of 297 39.1%#54 of 297 Sandalpur (134) 1,333#111 of 297 250#111 of 297 81.2%#43 of 297 846 per 1,000 males#272 of 297 5.33 per household#119 of 297 28.5%#239 of 297 Rasulpur (195) 1,287#112 of 297 263#101 of 297 72.1%#200 of 297 912 per 1,000 males#130 of 297 4.89 per household#257 of 297 26.9%#264 of 297 Saidpur (263) 1,286#113 of 297 240#118 of 297 74.1%#141 of 297 858 per 1,000 males#258 of 297 5.36 per household#112 of 297 33.4%#112 of 297 Mika (76) 1,285#114 of 297 221#125 of 297 73.4%#160 of 297 862 per 1,000 males#247 of 297 5.81 per household#32 of 297 31.0%#170 of 297 Udhowal (229) 1,279#115 of 297 240#118 of 297 73.9%#144 of 297 909 per 1,000 males#140 of 297 5.33 per household#119 of 297 26.7%#268 of 297 Chone (106) 1,258#116 of 297 245#114 of 297 77.2%#91 of 297 1,059 per 1,000 males#4 of 297 5.13 per household#188 of 297 29.0%#224 of 297 Talwandi Jheuran (236) 1,258#116 of 297 238#120 of 297 80.1%#52 of 297 900 per 1,000 males#168 of 297 5.29 per household#133 of 297 28.5%#239 of 297 Kandiala (218) 1,256#118 of 297 244#115 of 297 81.3%#41 of 297 915 per 1,000 males#122 of 297 5.15 per household#175 of 297 30.3%#197 of 297 Balarwal (5) 1,229#119 of 297 262#103 of 297 74.9%#127 of 297 923 per 1,000 males#98 of 297 4.69 per household#283 of 297 28.7%#234 of 297 Chandu Manj (393) 1,219#120 of 297 198#144 of 297 60.6%#290 of 297 935 per 1,000 males#79 of 297 6.16 per household#9 of 297 25.8%#278 of 297 Gande ke (85) 1,219#120 of 297 210#135 of 297 78.2%#77 of 297 938 per 1,000 males#75 of 297 5.80 per household#36 of 297 34.8%#95 of 297 Paijo Chak (57) 1,216#122 of 297 253#109 of 297 69.1%#249 of 297 918 per 1,000 males#114 of 297 4.81 per household#272 of 297 30.8%#181 of 297 Kotla Sahia (233) 1,202#123 of 297 241#117 of 297 88.3%#8 of 297 884 per 1,000 males#213 of 297 4.99 per household#239 of 297 41.1%#45 of 297 Longowal (201) 1,200#124 of 297 219#128 of 297 65.0%#279 of 297 1,003 per 1,000 males#11 of 297 5.48 per household#77 of 297 28.3%#244 of 297 Dhupsari (203) 1,193#125 of 297 242#116 of 297 72.8%#181 of 297 943 per 1,000 males#63 of 297 4.93 per household#250 of 297 37.4%#72 of 297 Bure Nangal (116) 1,171#126 of 297 211#133 of 297 78.8%#67 of 297 920 per 1,000 males#106 of 297 5.55 per household#67 of 297 42.7%#39 of 297 Sallo Chahal (208) 1,167#127 of 297 211#133 of 297 76.5%#103 of 297 861 per 1,000 males#249 of 297 5.53 per household#71 of 297 31.0%#170 of 297 Nathwal (124) 1,155#128 of 297 215#131 of 297 75.1%#125 of 297 919 per 1,000 males#110 of 297 5.37 per household#107 of 297 28.1%#249 of 297 Thariewal (155) 1,151#129 of 297 186#160 of 297 71.4%#209 of 297 899 per 1,000 males#171 of 297 6.19 per household#8 of 297 56.1%#17 of 297 Sadha Rang (108) 1,144#130 of 297 230#121 of 297 72.9%#171 of 297 857 per 1,000 males#259 of 297 4.97 per household#243 of 297 31.5%#155 of 297 Damodar (389) 1,142#131 of 297 188#158 of 297 67.0%#269 of 297 860 per 1,000 males#251 of 297 6.07 per household#12 of 297 39.8%#51 of 297 Chuhewal (128) 1,138#132 of 297 224#123 of 297 84.4%#20 of 297 903 per 1,000 males#158 of 297 5.08 per household#208 of 297 32.8%#123 of 297 Manesh (38) 1,119#133 of 297 219#128 of 297 71.8%#205 of 297 910 per 1,000 males#135 of 297 5.11 per household#197 of 297 25.9%#277 of 297 Machrai (56) 1,113#134 of 297 229#122 of 297 73.7%#149 of 297 932 per 1,000 males#84 of 297 4.86 per household#264 of 297 58.5%#14 of 297 Khan Fatta (255) 1,107#135 of 297 216#130 of 297 60.1%#291 of 297 915 per 1,000 males#122 of 297 5.13 per household#188 of 297 25.5%#281 of 297 Manoharpur (192) 1,106#136 of 297 209#137 of 297 68.9%#253 of 297 975 per 1,000 males#30 of 297 5.29 per household#133 of 297 55.0%#18 of 297 Bullowal (274) 1,088#137 of 297 208#138 of 297 72.6%#186 of 297 860 per 1,000 males#251 of 297 5.23 per household#150 of 297 33.5%#107 of 297 Kotli Bhan Singh (223) 1,082#138 of 297 221#125 of 297 71.5%#207 of 297 946 per 1,000 males#56 of 297 4.90 per household#255 of 297 34.3%#103 of 297 Chhit (293) 1,080#139 of 297 196#149 of 297 69.8%#239 of 297 957 per 1,000 males#46 of 297 5.51 per household#72 of 297 32.5%#131 of 297 Bagha (2) 1,076#140 of 297 198#144 of 297 68.2%#262 of 297 978 per 1,000 males#26 of 297 5.43 per household#93 of 297 28.8%#231 of 297 Badowal (109) 1,075#141 of 297 184#161 of 297 74.2%#140 of 297 962 per 1,000 males#40 of 297 5.84 per household#31 of 297 30.4%#194 of 297 Dhirowal (12) 1,065#142 of 297 181#166 of 297 69.4%#245 of 297 909 per 1,000 males#140 of 297 5.88 per household#28 of 297 32.1%#142 of 297 Dhariwal (44) 1,064#143 of 297 195#153 of 297 75.5%#117 of 297 893 per 1,000 males#191 of 297 5.46 per household#83 of 297 31.5%#155 of 297 Nangal Buttar (185) 1,047#144 of 297 221#125 of 297 71.3%#210 of 297 939 per 1,000 males#73 of 297 4.74 per household#278 of 297 26.6%#271 of 297 Kalian (200) 1,045#145 of 297 201#143 of 297 73.3%#163 of 297 873 per 1,000 males#231 of 297 5.20 per household#159 of 297 30.7%#186 of 297 Attepur (92) 1,043#146 of 297 207#139 of 297 72.3%#195 of 297 914 per 1,000 males#125 of 297 5.04 per household#218 of 297 31.4%#159 of 297 Chaura (98) 1,038#147 of 297 212#132 of 297 73.6%#152 of 297 981 per 1,000 males#24 of 297 4.90 per household#255 of 297 29.3%#215 of 297 Pulke (131) 1,034#148 of 297 206#140 of 297 74.9%#128 of 297 973 per 1,000 males#32 of 297 5.02 per household#227 of 297 35.7%#83 of 297 Natt (165) 1,033#149 of 297 181#166 of 297 72.4%#192 of 297 871 per 1,000 males#233 of 297 5.71 per household#43 of 297 34.5%#99 of 297 Qila Darshan Singh (221) 1,029#150 of 297 203#142 of 297 79.5%#59 of 297 923 per 1,000 males#98 of 297 5.07 per household#212 of 297 37.7%#68 of 297 Dhira (162) 1,026#151 of 297 191#154 of 297 75.1%#124 of 297 893 per 1,000 males#191 of 297 5.37 per household#107 of 297 59.1%#13 of 297 Bariar (95) 1,011#152 of 297 204#141 of 297 74.5%#134 of 297 904 per 1,000 males#154 of 297 4.96 per household#245 of 297 30.0%#204 of 297 Fajlabad (403) 1,008#153 of 297 180#169 of 297 82.0%#35 of 297 953 per 1,000 males#51 of 297 5.60 per household#57 of 297 64.1%#7 of 297 Harsian (226) 1,005#154 of 297 196#149 of 297 75.3%#122 of 297 971 per 1,000 males#34 of 297 5.13 per household#188 of 297 46.9%#29 of 297 Khokharwal (14) 1,005#154 of 297 198#144 of 297 73.5%#155 of 297 882 per 1,000 males#214 of 297 5.08 per household#208 of 297 30.6%#190 of 297 Gillanwali (231) 1,000#156 of 297 197#148 of 297 65.2%#277 of 297 862 per 1,000 males#247 of 297 5.08 per household#208 of 297 32.3%#135 of 297 Khokhar Fauji (228) 1,000#156 of 297 210#135 of 297 80.1%#52 of 297 984 per 1,000 males#21 of 297 4.76 per household#275 of 297 26.5%#273 of 297 Qila Tek Singh (217) 1,000#156 of 297 198#144 of 297 75.4%#121 of 297 908 per 1,000 males#145 of 297 5.05 per household#216 of 297 31.5%#155 of 297 Kotli Lehal (73) 999#159 of 297 196#149 of 297 70.9%#220 of 297 963 per 1,000 males#39 of 297 5.10 per household#201 of 297 35.9%#80 of 297 Bujianwali (110) 984#160 of 297 179#172 of 297 76.6%#100 of 297 864 per 1,000 males#244 of 297 5.50 per household#73 of 297 28.8%#231 of 297 Bahadarpur (222) 978#161 of 297 189#157 of 297 72.4%#194 of 297 914 per 1,000 males#125 of 297 5.17 per household#170 of 297 39.0%#55 of 297 Ogrewal (395) 975#162 of 297 180#169 of 297 79.3%#62 of 297 864 per 1,000 males#244 of 297 5.42 per household#97 of 297 56.8%#15 of 297 Chhailowal (90) 968#163 of 297 190#155 of 297 68.6%#256 of 297 913 per 1,000 males#128 of 297 5.09 per household#204 of 297 38.4%#60 of 297 Ahmedabad (238) 965#164 of 297 187#159 of 297 70.3%#231 of 297 877 per 1,000 males#220 of 297 5.16 per household#172 of 297 31.8%#147 of 297 Dhawan (390) 954#165 of 297 168#179 of 297 74.1%#142 of 297 908 per 1,000 males#145 of 297 5.68 per household#48 of 297 30.9%#174 of 297 Nathu Khaira (159) 950#166 of 297 180#169 of 297 74.3%#137 of 297 885 per 1,000 males#211 of 297 5.28 per household#138 of 297 31.1%#165 of 297 Natt (136) 949#167 of 297 182#163 of 297 67.2%#267 of 297 836 per 1,000 males#279 of 297 5.21 per household#156 of 297 30.5%#193 of 297 Madra (104) 946#168 of 297 170#178 of 297 75.2%#123 of 297 983 per 1,000 males#22 of 297 5.56 per household#65 of 297 28.4%#243 of 297 Sanghera (392) 945#169 of 297 196#149 of 297 77.4%#88 of 297 944 per 1,000 males#60 of 297 4.82 per household#270 of 297 25.3%#284 of 297 Metla (47) 943#170 of 297 182#163 of 297 81.3%#42 of 297 894 per 1,000 males#189 of 297 5.18 per household#165 of 297 35.2%#90 of 297 Cheema (177) 936#171 of 297 190#155 of 297 70.2%#235 of 297 906 per 1,000 males#151 of 297 4.93 per household#250 of 297 26.3%#274 of 297 Ghas (145) 932#172 of 297 167#180 of 297 80.3%#50 of 297 871 per 1,000 males#233 of 297 5.58 per household#62 of 297 44.8%#34 of 297 Behluwal (189) 929#173 of 297 175#174 of 297 77.1%#93 of 297 877 per 1,000 males#220 of 297 5.31 per household#128 of 297 30.9%#174 of 297 Ghoga (298) 924#174 of 297 184#161 of 297 66.5%#275 of 297 933 per 1,000 males#82 of 297 5.02 per household#227 of 297 31.1%#165 of 297 Kaler (148) 900#175 of 297 165#181 of 297 70.4%#229 of 297 940 per 1,000 males#70 of 297 5.45 per household#86 of 297 29.9%#209 of 297 Mokal (166) 890#176 of 297 182#163 of 297 73.3%#162 of 297 922 per 1,000 males#102 of 297 4.89 per household#257 of 297 32.5%#131 of 297 Thindh (183) 881#177 of 297 162#185 of 297 74.1%#142 of 297 891 per 1,000 males#199 of 297 5.44 per household#91 of 297 28.5%#239 of 297 Sandhwan (96) Sandhwan 877#178 of 297 175#174 of 297 75.6%#114 of 297 890 per 1,000 males#202 of 297 5.01 per household#232 of 297 38.9%#56 of 297 Sangatpura (205) 872#179 of 297 174#176 of 297 82.7%#30 of 297 879 per 1,000 males#219 of 297 5.01 per household#232 of 297 32.3%#135 of 297 Kotla Subha Singh (107) 862#180 of 297 163#182 of 297 75.5%#116 of 297 959 per 1,000 males#43 of 297 5.29 per household#133 of 297 28.9%#227 of 297 Loh Chap (179) 858#181 of 297 181#166 of 297 73.2%#165 of 297 845 per 1,000 males#273 of 297 4.74 per household#278 of 297 28.9%#227 of 297 Said Mubarak (297) 857#182 of 297 177#173 of 297 79.0%#65 of 297 888 per 1,000 males#206 of 297 4.84 per household#269 of 297 24.7%#289 of 297 Rikhia (280) 848#183 of 297 153#189 of 297 79.8%#55 of 297 816 per 1,000 males#287 of 297 5.54 per household#69 of 297 40.8%#46 of 297 Umarwala (394) 839#184 of 297 173#177 of 297 79.4%#61 of 297 877 per 1,000 males#220 of 297 4.85 per household#266 of 297 25.7%#279 of 297 Kazampur (103) 834#185 of 297 160#186 of 297 70.8%#221 of 297 857 per 1,000 males#259 of 297 5.21 per household#156 of 297 28.1%#249 of 297 Samrai (8) 824#186 of 297 159#188 of 297 77.0%#94 of 297 967 per 1,000 males#36 of 297 5.18 per household#165 of 297 30.6%#190 of 297 Pero Shah (83) 819#187 of 297 147#192 of 297 85.2%#16 of 297 887 per 1,000 males#210 of 297 5.57 per household#64 of 297 30.4%#194 of 297 Daulatpur (196) 816#188 of 297 163#182 of 297 71.8%#204 of 297 981 per 1,000 males#24 of 297 5.01 per household#232 of 297 26.1%#275 of 297 Bhait (19) 808#189 of 297 144#195 of 297 81.1%#44 of 297 919 per 1,000 males#110 of 297 5.61 per household#55 of 297 31.6%#153 of 297 Momanwal (77) 801#190 of 297 147#192 of 297 72.8%#177 of 297 973 per 1,000 males#32 of 297 5.45 per household#86 of 297 33.2%#115 of 297 Radhan (143) 792#191 of 297 131#210 of 297 84.6%#19 of 297 941 per 1,000 males#67 of 297 6.05 per household#15 of 297 33.7%#106 of 297 Kishan Kot (60) 782#192 of 297 160#186 of 297 68.5%#258 of 297 917 per 1,000 males#117 of 297 4.89 per household#257 of 297 37.6%#70 of 297 Bariar (161) 781#193 of 297 136#204 of 297 70.5%#226 of 297 1,023 per 1,000 males#8 of 297 5.74 per household#40 of 297 50.7%#22 of 297 Karwalian (278) 773#194 of 297 143#198 of 297 69.4%#246 of 297 899 per 1,000 males#171 of 297 5.41 per household#100 of 297 33.2%#115 of 297 Leel Khurd (193) 773#194 of 297 152#191 of 297 69.6%#243 of 297 867 per 1,000 males#240 of 297 5.09 per household#204 of 297 32.1%#142 of 297 Granthgarh (184) 769#196 of 297 133#207 of 297 78.4%#74 of 297 903 per 1,000 males#158 of 297 5.78 per household#38 of 297 32.5%#131 of 297 Nawan Pind Milkhiwala (252) 751#197 of 297 137#203 of 297 81.8%#36 of 297 961 per 1,000 males#41 of 297 5.48 per household#77 of 297 37.8%#66 of 297 Noorpur (52) 747#198 of 297 145#194 of 297 77.6%#84 of 297 920 per 1,000 males#106 of 297 5.15 per household#175 of 297 40.2%#48 of 297 Rangilpur (127) 746#199 of 297 153#189 of 297 86.1%#14 of 297 933 per 1,000 males#82 of 297 4.88 per household#261 of 297 31.9%#146 of 297 Talwandi Bakhtan (122) 744#200 of 297 128#215 of 297 83.3%#24 of 297 828 per 1,000 males#282 of 297 5.81 per household#32 of 297 27.6%#256 of 297 Purian Khurd (137) 736#201 of 297 144#195 of 297 76.7%#99 of 297 897 per 1,000 males#177 of 297 5.11 per household#197 of 297 29.8%#210 of 297 Karnama (152) 735#202 of 297 143#198 of 297 72.9%#173 of 297 880 per 1,000 males#217 of 297 5.14 per household#181 of 297 28.3%#244 of 297 Kaure (63) 725#203 of 297 141#200 of 297 69.8%#238 of 297 903 per 1,000 males#158 of 297 5.14 per household#181 of 297 33.0%#120 of 297 Nangal (94) 725#203 of 297 140#201 of 297 68.4%#260 of 297 970 per 1,000 males#35 of 297 5.18 per household#165 of 297 27.2%#262 of 297 Kotli Phasi (232) 720#205 of 297 124#222 of 297 59.0%#293 of 297 787 per 1,000 males#293 of 297 5.81 per household#32 of 297 41.8%#44 of 297 Kotla Bhama (272) 708#206 of 297 136#204 of 297 79.7%#57 of 297 934 per 1,000 males#80 of 297 5.21 per household#156 of 297 25.1%#287 of 297 Warsal Chak (48) 690#207 of 297 136#204 of 297 65.1%#278 of 297 988 per 1,000 males#19 of 297 5.07 per household#212 of 297 27.4%#259 of 297 Kotla Baja Singh (135) 687#208 of 297 138#202 of 297 72.2%#197 of 297 877 per 1,000 males#220 of 297 4.98 per household#241 of 297 29.1%#222 of 297 Burj Araian (277) 677#209 of 297 127#216 of 297 77.3%#90 of 297 918 per 1,000 males#114 of 297 5.33 per household#119 of 297 37.7%#68 of 297 Muradpur (157) 676#210 of 297 127#216 of 297 72.7%#185 of 297 867 per 1,000 males#240 of 297 5.32 per household#126 of 297 30.0%#204 of 297 Chak Chau (64) 670#211 of 297 163#182 of 297 85.8%#15 of 297 959 per 1,000 males#43 of 297 4.11 per household#297 of 297 37.8%#66 of 297 Partapgarh (210) 665#212 of 297 144#195 of 297 78.4%#75 of 297 868 per 1,000 males#239 of 297 4.62 per household#286 of 297 27.7%#253 of 297 Kotla Moosa (176) 660#213 of 297 109#230 of 297 72.8%#182 of 297 941 per 1,000 males#67 of 297 6.06 per household#14 of 297 23.0%#292 of 297 Moor (22) 652#214 of 297 125#221 of 297 80.4%#49 of 297 958 per 1,000 males#45 of 297 5.22 per household#153 of 297 61.0%#10 of 297 Talwandi Bhindran (79) 645#215 of 297 133#207 of 297 77.7%#83 of 297 875 per 1,000 males#229 of 297 4.85 per household#266 of 297 33.5%#107 of 297 Ladho Bhana (119) 640#216 of 297 129#213 of 297 75.5%#118 of 297 910 per 1,000 males#135 of 297 4.96 per household#245 of 297 32.7%#126 of 297 Withwan (26) 640#216 of 297 130#212 of 297 69.5%#244 of 297 916 per 1,000 males#118 of 297 4.92 per household#253 of 297 61.1%#8 of 297 Khojewal (207) 637#218 of 297 114#227 of 297 81.5%#39 of 297 896 per 1,000 males#183 of 297 5.59 per household#59 of 297 32.7%#126 of 297 Bhagian (180) 633#219 of 297 133#207 of 297 63.9%#287 of 297 924 per 1,000 males#92 of 297 4.76 per household#275 of 297 30.8%#181 of 297 Dhanne (182) 631#220 of 297 129#213 of 297 65.0%#280 of 297 924 per 1,000 males#92 of 297 4.89 per household#257 of 297 26.6%#271 of 297 Kot Karam Chand (251) 619#221 of 297 124#222 of 297 81.4%#40 of 297 870 per 1,000 males#236 of 297 4.99 per household#239 of 297 31.7%#150 of 297 Dhande (39) 617#222 of 297 108#232 of 297 78.5%#73 of 297 916 per 1,000 males#118 of 297 5.71 per household#43 of 297 30.0%#204 of 297 Sidhwan (70) 616#223 of 297 114#227 of 297 72.1%#198 of 297 839 per 1,000 males#275 of 297 5.40 per household#102 of 297 38.0%#64 of 297 Mannan (140) 610#224 of 297 105#233 of 297 89.8%#6 of 297 877 per 1,000 males#220 of 297 5.81 per household#32 of 297 42.6%#41 of 297 Bhol (3) 605#225 of 297 101#237 of 297 64.9%#281 of 297 873 per 1,000 males#231 of 297 5.99 per household#18 of 297 30.7%#186 of 297 Choranwali (276) 604#226 of 297 115#226 of 297 77.5%#86 of 297 899 per 1,000 males#171 of 297 5.25 per household#143 of 297 36.3%#76 of 297 Mamrai (225) 604#226 of 297 127#216 of 297 76.9%#95 of 297 814 per 1,000 males#289 of 297 4.76 per household#275 of 297 32.1%#142 of 297 Sohian (46) 604#226 of 297 131#210 of 297 73.1%#167 of 297 936 per 1,000 males#77 of 297 4.61 per household#288 of 297 29.6%#213 of 297 Langianwali (78) 591#229 of 297 105#233 of 297 76.6%#101 of 297 882 per 1,000 males#214 of 297 5.63 per household#53 of 297 64.5%#6 of 297 Peerowali (151) 589#230 of 297 99#239 of 297 70.5%#227 of 297 925 per 1,000 males#90 of 297 5.95 per household#24 of 297 31.1%#165 of 297 Adowali (117) 587#231 of 297 124#222 of 297 78.6%#70 of 297 950 per 1,000 males#54 of 297 4.73 per household#281 of 297 20.3%#295 of 297 Shampur (237) 585#232 of 297 110#229 of 297 66.6%#273 of 297 822 per 1,000 males#284 of 297 5.32 per household#126 of 297 51.5%#20 of 297 Kokalpur (158) 581#233 of 297 121#225 of 297 78.4%#76 of 297 893 per 1,000 males#191 of 297 4.80 per household#273 of 297 21.5%#294 of 297 Surjit Singhwala (220) 573#234 of 297 126#219 of 297 80.5%#47 of 297 916 per 1,000 males#118 of 297 4.55 per household#292 of 297 38.9%#56 of 297 Lailla (45) 565#235 of 297 109#230 of 297 69.7%#241 of 297 859 per 1,000 males#256 of 297 5.18 per household#165 of 297 60.0%#11 of 297 Awan (191) 556#236 of 297 126#219 of 297 75.5%#119 of 297 965 per 1,000 males#37 of 297 4.41 per household#293 of 297 34.9%#93 of 297 Haruwal (244) 551#237 of 297 90#244 of 297 75.8%#110 of 297 893 per 1,000 males#191 of 297 6.12 per household#10 of 297 33.0%#120 of 297 Malludawara (230) 533#238 of 297 91#242 of 297 83.0%#26 of 297 897 per 1,000 males#177 of 297 5.86 per household#30 of 297 29.3%#215 of 297 Pindi Rori (24) 526#239 of 297 105#233 of 297 72.3%#196 of 297 839 per 1,000 males#275 of 297 5.01 per household#232 of 297 30.2%#199 of 297 Kangra (7) 510#240 of 297 96#240 of 297 63.9%#285 of 297 848 per 1,000 males#267 of 297 5.31 per household#128 of 297 26.9%#264 of 297 Gilbob (15) 507#241 of 297 85#247 of 297 72.0%#203 of 297 920 per 1,000 males#106 of 297 5.96 per household#22 of 297 33.3%#113 of 297 Kapoora (4) 485#242 of 297 91#242 of 297 78.8%#68 of 297 988 per 1,000 males#19 of 297 5.33 per household#119 of 297 30.9%#174 of 297 Galowal (54) 479#243 of 297 71#258 of 297 77.4%#87 of 297 908 per 1,000 males#145 of 297 6.75 per household#2 of 297 34.7%#96 of 297 Chahal Khurd (209) 477#244 of 297 104#236 of 297 82.0%#34 of 297 955 per 1,000 males#49 of 297 4.59 per household#290 of 297 54.1%#19 of 297 Chau Chak (62) 477#244 of 297 89#246 of 297 76.8%#97 of 297 1,047 per 1,000 males#5 of 297 5.36 per household#112 of 297 69.0%#3 of 297 Kot Bakhtan (121) 468#246 of 297 101#237 of 297 74.4%#136 of 297 910 per 1,000 males#135 of 297 4.63 per household#285 of 297 34.4%#102 of 297 Sherpur (188) 467#247 of 297 90#244 of 297 82.1%#33 of 297 996 per 1,000 males#17 of 297 5.19 per household#160 of 297 32.3%#135 of 297 Mehtewal (28) 465#248 of 297 92#241 of 297 76.5%#102 of 297 816 per 1,000 males#287 of 297 5.05 per household#216 of 297 64.9%#5 of 297 Sagarpur (113) 451#249 of 297 78#254 of 297 79.7%#58 of 297 919 per 1,000 males#110 of 297 5.78 per household#38 of 297 65.0%#4 of 297 Chak Tara (149) 418#250 of 297 84#248 of 297 90.1%#5 of 297 817 per 1,000 males#286 of 297 4.98 per household#241 of 297 31.6%#153 of 297 Mehmadpur (81) 418#250 of 297 82#251 of 297 82.7%#29 of 297 944 per 1,000 males#60 of 297 5.10 per household#201 of 297 51.0%#21 of 297 Khojkipur (16) 410#252 of 297 81#252 of 297 78.6%#71 of 297 822 per 1,000 males#284 of 297 5.06 per household#214 of 297 40.2%#48 of 297 Chak Wasan (30) 398#253 of 297 84#248 of 297 82.2%#32 of 297 869 per 1,000 males#238 of 297 4.74 per household#278 of 297 50.0%#24 of 297 Nawan Pind Barkiwala (261) 395#254 of 297 84#248 of 297 78.9%#66 of 297 946 per 1,000 males#56 of 297 4.70 per household#282 of 297 28.9%#227 of 297 Khudi (50) 388#255 of 297 77#255 of 297 72.9%#174 of 297 796 per 1,000 males#291 of 297 5.04 per household#218 of 297 32.5%#131 of 297 Dharamkot (102) 373#256 of 297 74#257 of 297 67.2%#266 of 297 847 per 1,000 males#269 of 297 5.04 per household#218 of 297 34.6%#97 of 297 Shahpur Araian (100) 366#257 of 297 80#253 of 297 86.8%#10 of 297 1,128 per 1,000 males#1 of 297 4.58 per household#291 of 297 32.2%#141 of 297 Balrampur (88) 325#258 of 297 66#259 of 297 81.6%#37 of 297 912 per 1,000 males#130 of 297 4.92 per household#253 of 297 25.2%#286 of 297 Nawan Pind Mehmuwal (202) 324#259 of 297 75#256 of 297 74.8%#129 of 297 929 per 1,000 males#86 of 297 4.32 per household#296 of 297 36.1%#77 of 297 Boparai (101) 313#260 of 297 65#260 of 297 73.4%#157 of 297 897 per 1,000 males#177 of 297 4.82 per household#270 of 297 33.2%#115 of 297 Dhariwal (181) 310#261 of 297 62#261 of 297 84.0%#22 of 297 1,000 per 1,000 males#12 of 297 5.00 per household#237 of 297 30.0%#204 of 297 Mallowali (67) 309#262 of 297 57#266 of 297 86.3%#11 of 297 931 per 1,000 males#85 of 297 5.42 per household#97 of 297 37.2%#73 of 297 Mir Kachana (402) 298#263 of 297 50#269 of 297 81.6%#38 of 297 898 per 1,000 males#176 of 297 5.96 per household#22 of 297 56.7%#16 of 297 Chhina Viran (41) 297#264 of 297 58#264 of 297 72.8%#179 of 297 916 per 1,000 males#118 of 297 5.12 per household#195 of 297 29.3%#215 of 297 Dhiha (147) 297#264 of 297 60#263 of 297 82.9%#27 of 297 1,121 per 1,000 males#2 of 297 4.95 per household#248 of 297 25.3%#284 of 297 Kathana (from Distt.HSP) (455) 296#266 of 297 58#264 of 297 51.5%#296 of 297 885 per 1,000 males#211 of 297 5.10 per household#201 of 297 34.5%#99 of 297 Chhapianwali (130) 293#267 of 297 54#268 of 297 85.1%#17 of 297 1,007 per 1,000 males#10 of 297 5.43 per household#93 of 297 33.1%#118 of 297 Gill (27) 289#268 of 297 56#267 of 297 73.0%#170 of 297 877 per 1,000 males#220 of 297 5.16 per household#172 of 297 9.3%#297 of 297 Bhittewad (178) 282#269 of 297 61#262 of 297 68.9%#254 of 297 945 per 1,000 males#59 of 297 4.62 per household#286 of 297 28.7%#234 of 297 Chah Gill (186) 278#270 of 297 46#271 of 297 70.2%#234 of 297 1,000 per 1,000 males#12 of 297 6.04 per household#16 of 297 27.7%#253 of 297 Khokhar (273) 265#271 of 297 40#276 of 297 90.5%#4 of 297 934 per 1,000 males#80 of 297 6.63 per household#4 of 297 30.9%#174 of 297 Othian (246) 254#272 of 297 48#270 of 297 76.8%#96 of 297 1,065 per 1,000 males#3 of 297 5.29 per household#133 of 297 27.6%#256 of 297 Khawaja Bains (496) 251#273 of 297 45#272 of 297 49.6%#297 of 297 619 per 1,000 males#296 of 297 5.58 per household#62 of 297 32.3%#135 of 297 Khokhowal (1) 221#274 of 297 41#275 of 297 80.4%#48 of 297 826 per 1,000 males#283 of 297 5.39 per household#104 of 297 38.9%#56 of 297 Kot Ahemad Khan (262) 211#275 of 297 42#274 of 297 57.7%#294 of 297 788 per 1,000 males#292 of 297 5.02 per household#227 of 297 28.0%#251 of 297 Wariyah (25) 209#276 of 297 35#279 of 297 83.3%#25 of 297 1,010 per 1,000 males#9 of 297 5.97 per household#21 of 297 38.3%#62 of 297 Chandke (253) 207#277 of 297 45#272 of 297 68.5%#259 of 297 784 per 1,000 males#294 of 297 4.60 per household#289 of 297 35.3%#88 of 297 Tananiwal (59) 198#278 of 297 28#283 of 297 86.2%#12 of 297 1,000 per 1,000 males#12 of 297 7.07 per household#1 of 297 33.3%#113 of 297 Cheema Kalan (69) 194#279 of 297 40#276 of 297 68.6%#257 of 297 902 per 1,000 males#161 of 297 4.85 per household#266 of 297 29.4%#214 of 297 Mansurke (175) 182#280 of 297 39#278 of 297 73.2%#166 of 297 857 per 1,000 males#259 of 297 4.67 per household#284 of 297 24.7%#289 of 297 Kane Gil (260) 179#281 of 297 35#279 of 297 82.3%#31 of 297 845 per 1,000 males#273 of 297 5.11 per household#197 of 297 30.7%#186 of 297 Johal (97) 161#282 of 297 32#281 of 297 77.9%#80 of 297 1,038 per 1,000 males#6 of 297 5.03 per household#226 of 297 30.4%#194 of 297 Arianwali (144) 155#283 of 297 29#282 of 297 79.3%#63 of 297 742 per 1,000 males#295 of 297 5.34 per household#117 of 297 34.2%#104 of 297 Brahm (51) 149#284 of 297 24#285 of 297 77.9%#81 of 297 961 per 1,000 males#41 of 297 6.21 per household#6 of 297 27.5%#258 of 297 Sultanpur (68) 145#285 of 297 27#284 of 297 77.3%#89 of 297 908 per 1,000 males#145 of 297 5.37 per household#107 of 297 44.8%#34 of 297 Nahra (55) 131#286 of 297 22#286 of 297 83.6%#23 of 297 899 per 1,000 males#171 of 297 5.95 per household#24 of 297 29.8%#210 of 297 Sodhpur (219) 97#287 of 297 17#287 of 297 84.1%#21 of 297 902 per 1,000 males#161 of 297 5.71 per household#43 of 297 26.8%#266 of 297 Gopalpur (29) 87#288 of 297 14#289 of 297 87.0%#9 of 297 977 per 1,000 males#28 of 297 6.21 per household#6 of 297 72.4%#2 of 297 Zahidpur (497) 85#289 of 297 14#289 of 297 56.3%#295 of 297 848 per 1,000 males#267 of 297 6.07 per household#12 of 297 48.2%#27 of 297 Chak Khasa (286) 70#290 of 297 16#288 of 297 77.8%#82 of 297 944 per 1,000 males#60 of 297 4.38 per household#294 of 297 25.7%#279 of 297 Sahan Pannu (400) 69#291 of 297 14#289 of 297 88.5%#7 of 297 605 per 1,000 males#297 of 297 4.93 per household#250 of 297 72.5%#1 of 297 Chak Bhagtupur (91) 67#292 of 297 13#292 of 297 70.3%#231 of 297 1,030 per 1,000 males#7 of 297 5.15 per household#175 of 297 25.4%#282 of 297 Chak Sidhwan (71) 63#293 of 297 11#293 of 297 72.9%#174 of 297 800 per 1,000 males#290 of 297 5.73 per household#42 of 297 30.2%#199 of 297 Taharpur (23) 54#294 of 297 8#294 of 297 91.8%#2 of 297 1,000 per 1,000 males#12 of 297 6.75 per household#2 of 297 61.1%#8 of 297 Khanpur (53) 40#295 of 297 7#295 of 297 90.9%#3 of 297 1,000 per 1,000 males#12 of 297 5.71 per household#43 of 297 40.0%#50 of 297 Kotli Upplan (399) 21#296 of 297 4#296 of 297 94.4%#1 of 297 909 per 1,000 males#140 of 297 5.25 per household#143 of 297 19.0%#296 of 297 Tara (150) 13#297 of 297 3#297 of 297 84.6%#18 of 297 857 per 1,000 males#259 of 297 4.33 per household#295 of 297 23.1%#291 of 297 