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4

Households by usual type of fuel used for cooking

VDC/ Municipality

Total household

Fuel usually used for cooking

Wood / firewood

Kerosene LP gas

Santhi/ guitha (cow dung)

Bio gas Electricity Others Not

Stated

Ayodhyapuri 2,555 2,230 16 63 10 229 0 2 5

Bachhauli 2,321 1,169 10 571 2 523 10 22 14

Bagauda 2,532 2,074 13 141 7 290 0 3 4

Bhandara 3,489 2,145 4 923 5 389 11 8 4 Bharatpur Municipality

36,939 7,205 468 27,421 30 1,416 31 178 190

Birendranagar 3,374 1,998 15 1,024 7 317 1 4 8

Chainpur 3,779 2,016 10 1,176 4 485 17 55 16 Chandi Bhanjyang

847 823 4 16 1 0 0 0 3

Dahakhani 939 934 3 0 1 0 0 0 1 Darechok 2,029 1,229 13 747 1 22 2 13 2

Dibyanagar 1,936 1,199 15 503 3 203 1 4 8

Fulbari 945 264 4 381 4 286 5 0 1 Gardi 2,168 1,770 7 77 21 285 0 1 7 Gitanagar 3,375 1,632 20 989 8 677 8 23 18 Gunjanagar 3,546 1,958 34 922 14 592 13 7 6 Jagatpur 2,635 1,908 11 489 1 212 4 4 6 Jutpani 3,325 1,922 11 1,089 3 288 3 1 8 Kabilas 1,164 1,089 1 61 0 6 0 3 4

Kathar 2,040 1,532 5 212 6 240 8 34 3

Kaule 963 951 0 2 1 1 0 0 8 Khairahani 4,762 1,841 52 2,334 15 318 7 168 27 Korak 1,161 1,143 9 2 2 1 0 0 4 Kumroj 1,750 1,084 2 238 7 412 3 3 1 Lothar 766 762 0 0 0 1 0 1 2 Madi Kalyanpur 1,705 1,130 3 107 0 462 0 1 2 Mangalpur 4,527 2,127 28 1,573 3 747 8 24 17

Meghauli 3,086 2,630 19 343 2 52 31 1 8

Padampur 3,231 2,549 13 436 2 214 2 10 5 Parbatipur 1,614 746 5 565 0 287 1 5 5 Patihani 2,845 1,539 17 743 4 520 5 7 10 Piple 3,265 2,691 9 404 8 143 2 3 5 Pithuwa 2,898 1,297 18 981 3 571 8 10 10

Ratnanagar Municipality

10,851 4,054 106 5,462 13 1,059 20 55 82

Saradanagar 2,692 989 32 1,321 11 311 13 6 9 Shaktikhor 1,909 1,647 8 128 3 106 0 5 12

Sibanagar 1,868 802 7 716 7 323 11 1 1

Siddi 651 647 0 0 1 1 0 1 1

Sukranagar 1,863 1,207 5 385 1 249 9 6 1

Total 132,345 64,933 997 52,545 211 12,238 234 669 518

Source: National Population and Housing Census 2011

5

Population by caste/ethnicity and sex

Ayodhyapuri Total Male Female

Bachhauli Total Male Female All Caste 10693 4914 5779

All Caste 10905 5387 5518

Chhetree 961 423 538


Brahman - Hill 2559 1107 1452

Brahman - Hill 2335 1158 1177

Magar 492 221 271

Magar 196 98 98

Tharu 191 85 106

Tharu 5256 2550 2706

Tamang 1172 582 590

Tamang 887 434 453

Newar 114 52 62

Newar 291 144 147

Musalman 21 12 9

Musalman 24 19 5

Kami 1076 496 580

Kami 124 60 64

Rai 253 119 134

Gurung 89 51 38

Gurung 642 293 349

Damai/Dholi 153 75 78


Thakuri 11 7 4

Thakuri 87 47 40

Sanyasi/Dashnami 99 50 49

Sarki 238 107 131

Musahar 127 66 61

Chamar/Harijan/Ram

35 21 14

Kumal 149 80 69


Hajam/Thakur 12 11 1

Sonar 51 19 32

Majhi 15 11 4

Gharti/Bhujel 186 83 103

Darai 167 80 87

Kumal 120 53 67

Bote 125 67 58

Chepang/Praja 1151 562 589

Others 133 83 50

Darai 28 13 15

Undefined Others

23 13 10

Bote 336 158 178

Bhandara Total Male Female Gaine 205 92 113

All Caste 16121 7529 8592

Dura 235 103 132

Chhetree 1264 574 690 Others 50 23 27

Brahman - Hill 4372 2024 2348

Bagauda Total Male Female

Magar 212 100 112

All Caste 10913 4856 6057

Tharu 3163 1474 1689


Tamang 2494 1174 1320

Brahman - Hill 2417 1029 1388

Newar 1277 578 699

Magar 132 58 74

Musalman 78 49 29

Tharu 4761 2132 2629

Kami 555 259 296

Tamang 26 15 11

Yadav 17 11 6

Newar 72 26 46

Rai 366 161 205

Musalman 205 97 108

Gurung 76 35 41

Kami 1143 495 648


Gurung 107 45 62

Thakuri 23 10 13


Sarki 176 82 94

Sarki 118 54 64

Koiri/Kushwaha 11 4 7

Teli 129 70 59

Sanyasi/Dashnami

90 37 53


Kathbaniyan 21 10 11

Sonar 32 11 21


6


Mallaha 35 18 17


Kalwar 16 10 6

Mallaha 168 74 94


Kalwar 47 29 18

Kanu 18 9 9


Majhi 11 4 7

Kanu 45 23 22

Danuwar 325 149 176

Majhi 53 23 30


Kayastha 11 5 6

Darai 422 205 217

Darai 380 175 205

Others 55 31 24

Bote 226 115 111

Dalit Others 44 19 25

Badi 64 31 33

Terai Others 25 9 16

Others 52 26 26

Birendranagar Total Male Female

Bharatpur Municipality

Total Male Female

All Caste 14934 6909 8025

All Caste 143836 71175 72661

Chhetree 1358 619 739

Chhetree 18460 8834 9626

Brahman - Hill 4716 2217 2499

Brahman - Hill 56330 27232 29098

Magar 1971 852 1119

Magar 7597 3487 4110

Tharu 376 183 193

Tharu 3483 1940 1543

Tamang 2445 1141 1304

Tamang 8051 3933 4118

Newar 590 281 309

Newar 12879 6271 6608

Musalman 39 22 17

Musalman 2939 1910 1029

Kami 1040 473 567

Kami 5243 2530 2713

Rai 33 17 16

Yadav 589 423 166

Gurung 886 399 487

Rai 857 443 414


Gurung 9263 4226 5037

Thakuri 177 73 104

Damai/Dholi 2172 1049 1123

Sarki 146 74 72

Limbu 173 84 89

Teli 13 7 6

Thakuri 1384 657 727


Sarki 1025 492 533


Teli 710 493 217

Kalwar 20 10 10

Chamar/Harijan/Ram

118 91 27

Kumal 15 9 6


Hajam/Thakur 12 6 6

Kurmi 256 210 46

Sunuwar 11 6 5



Dhanuk 48 37 11

Darai 52 24 28

Musahar 21 15 6

Thakali 15 3 12

Dusadh/Pasawan/Pasi

110 87 23

Ghale 84 36 48

Sherpa 44 23 21

Others 117 66 51

Sonar 29 15 14

Chainpur Total Male Female

Kewat 19 11 8

All Caste 16786 7752 9034 Brahman - Tarai 155 101 54

Chhetree 3589 1630 1959


Brahman - Hill 4400 2043 2357 Gharti/Bhujel 456 222 234

Magar 1377 635 742

Mallaha 83 77 6

Tharu 1066 481 585

Kalwar 633 388 245

Tamang 738 324 414

7

Kumal 2269 1108 1161

Newar 803 353 450


Musalman 170 101 69 Kanu 506 315 191

Kami 788 363 425

Rajbansi 13 9 4

Rai 52 24 28

Sunuwar 289 166 123

Gurung 935 418 517

Sudhi 73 46 27

Damai/Dholi 526 251 275 Lohar 73 51 22

Thakuri 45 17 28

Tatma/Tatwa 44 32 12

Sarki 101 54 47

Dhobi 75 57 18

Teli 11 11 0 Majhi 129 80 49


Nuniya 58 41 17

Brahman - Tarai 14 4 10

Kumhar 33 24 9

Gharti/Bhujel 80 33 47 Danuwar 16 7 9

Mallaha 21 14 7


Kumal 153 70 83

Haluwai 359 223 136

Kanu 11 5 6

Rajput 106 72 34

Majhi 67 35 32

Kayastha 114 68 46

Chepang/Praja 115 63 52 Badhaee 29 28 1

Darai 1278 586 692

Marwadi 389 208 181

Bote 26 14 12

Satar/Santhal 17 11 6

Brahmu/Baramo 20 9 11 Baraee 59 49 10

Gaine 159 83 76

Dhimal 18 9 9

Ghale 20 10 10

Bhote 25 15 10

Others 98 66 32 Bin 43 38 5

Chandi Bhanjyang Total Male Female

Yakkha 22 15 7

All Caste 4978 2460 2518

Darai 1121 537 584

Chhetree 159 79 80 Thakali 96 47 49

Brahman - Hill 26 12 14

Mali 19 15 4

Magar 85 35 50

Bangali 192 131 61

Tamang 11 5 6

Kamar 13 7 6

Newar 47 20 27

Bote 116 64 52

Kami 33 19 14

Brahmu/Baramo 46 21 25

Gurung 2371 1158 1213 Gaine 33 17 16

Kathbaniyan 16 8 8

Dura 278 123 155

Gharti/Bhujel 618 316 302 Badi 204 92 112


Punjabi/Shikh 14 8 6

Others 25 12 13

Hyolmo 50 24 26

Darechok Total Male Female Ghale 287 126 161

All Caste 9607 4836 4771

Others 132 77 55

Chhetree 664 334 330 Dalit Others 103 51 52



Magar 1825 870 955

Undefined Others

48 27 21

Tharu 49 22 27

Foreigner 87 65 22

Tamang 161 82 79

Dahakhani Total Male Female

Newar 622 301 321 All Caste 4803 2304 2499

Musalman 151 85 66

Chhetree 52 21 31

Kami 323 158 165

Magar 754 353 401

Yadav 26 22 4

8

Tamang 753 351 402

Rai 64 34 30

Newar 107 54 53

Gurung 2525 1242 1283

Kami 242 121 121


Gurung 1447 690 757

Sarki 12 6 6


Teli 118 91 27


Kathbaniyan 22 15 7



Others 45 19 26

Kalwar 55 41 14

Dibyanagar Total Male Female

Kumal 11 2 9

All Caste 8334 3787 4547

Majhi 13 12 1



Brahman - Hill 2676 1188 1488

Thakali 109 49 60

Magar 250 117 133

Others 108 70 38

Tharu 2027 916 1111

Fulbari Total Male Female

Tamang 168 80 88

All Caste 3862 1791 2071

Newar 157 75 82


Musalman 20 9 11


Kami 335 149 186

Magar 300 145 155

Rai 21 10 11

Tharu 11 8 3

Gurung 676 318 358

Tamang 148 66 82


Newar 115 59 56

Thakuri 65 28 37

Musalman 11 11 0

Sarki 195 86 109

Kami 193 97 96


Gurung 346 169 177

Kurmi 17 5 12



Thakuri 47 22 25


Sarki 13 9 4

Kumal 230 112 118

Teli 13 10 3

Darai 173 81 92

Kurmi 17 11 6

Thakali 11 4 7


Bote 33 18 15

Badi 57 27 30

Badi 12 4 8

Hyolmo 60 27 33

Others 34 22 12

Others 12 9 3

Gardi Total Male Female

Gitanagar Total Male Female

All Caste 9241 4061 5180

All Caste 13929 6553 7376


Chhetree 1894 838 1056

Brahman - Hill 2102 880 1222

Brahman - Hill 6235 2914 3321

Magar 325 145 180

Magar 285 140 145

Tharu 3854 1718 2136

Tharu 797 398 399

Tamang 90 41 49

Tamang 344 154 190

Newar 108 48 60

Newar 513 244 269

Musalman 41 22 19

Musalman 29 16 13

Kami 535 237 298

Kami 1058 495 563

Gurung 138 66 72

Yadav 31 23 8


Rai 48 23 25

Thakuri 25 8 17

Gurung 801 384 417

Sarki 161 63 98


9

Teli 26 16 10

Thakuri 163 67 96

Sonar 29 12 17

Sarki 410 197 213


Teli 11 7 4

Kalwar 25 13 12


Kanu 17 8 9


Majhi 12 6 6

Kathbaniyan 12 8 4

Bhote 82 42 40


Darai 20 10 10

Mallaha 24 19 5

Bote 579 255 324

Kumal 58 23 35

Badi 21 9 12


Others 76 41 35


Gunjanagar Total Male Female

Bin 12 6 6

All Caste 15071 6829 8242

Darai 207 106 101

Chhetree 1178 521 657

Dura 23 11 12

Brahman - Hill 4060 1856 2204

Badi 17 8 9

Magar 1438 607 831

Others 95 67 28

Tharu 867 400 467

Jagatpur Total Male Female

Tamang 2126 971 1155

All Caste 11195 5217 5978

Newar 466 196 270

Chhetree 1340 629 711

Musalman 51 30 21

Brahman - Hill 2090 959 1131

Kami 699 310 389

Magar 614 267 347

Rai 48 26 22

Tharu 191 92 99

Gurung 2119 939 1180

Tamang 1707 818 889


Newar 529 236 293

Thakuri 118 54 64

Kami 1652 742 910

Sarki 449 210 239

Yadav 15 11 4

Teli 35 24 11

Rai 28 10 18


Gurung 337 158 179



Kumal 300 146 154

Thakuri 89 48 41


Sarki 744 364 380

Sunuwar 12 7 5


Majhi 11 5 6


Nuniya 29 20 9

Kumal 55 28 27

Haluwai 22 17 5

Sunuwar 64 24 40

Darai 20 11 9


Badi 82 36 46

Darai 717 335 382

Ghale 197 92 105

Bote 153 74 79

Others 63 31 32

Others 53 40 13

Undefined Others

28 10 18

Kabilas Total Male Female

Jutpani Total Male Female

All Caste 5815 2818 2997

All Caste 14324 6626 7698

Chhetree 182 95 87

Chhetree 1548 690 858


Brahman - Hill 4361 2032 2329

Magar 365 170 195

Magar 649 287 362

Tharu 17 9 8

Tharu 173 76 97

Tamang 556 268 288

Tamang 3461 1598 1863

Newar 267 129 138

10

Newar 1020 491 529

Musalman 23 14 9

Musalman 30 11 19

Kami 225 109 116

Kami 547 253 294

Rai 16 8 8

Rai 34 19 15

Gurung 2947 1419 1528

Gurung 492 214 278



Sarki 22 11 11

Sarki 87 45 42




Sherpa 40 19 21

Kalwar 18 8 10


Sunuwar 31 14 17

Kumal 961 462 499


Sunuwar 122 59 63

Others 32 15 17


Kaule Total Male Female

Darai 37 13 24

All Caste 5614 2860 2754 Bote 89 42 47


Ghale 76 34 42

Brahman - Hill 38 17 21 Others 59 34 25

Magar 333 169 164

Kathar Total Male Female

Tamang 60 34 26

All Caste 9696 4410 5286

Kami 193 88 105

Chhetree 1120 472 648

Gurung 346 179 167

Brahman - Hill 1994 961 1033


Magar 62 29 33


Tharu 3213 1456 1757

Others 20 6 14

Tamang 762 345 417

Khairahani Total Male Female

Newar 137 70 67

All Caste 21530 10155 11375

Musalman 66 35 31

Chhetree 2060 944 1116

Kami 178 76 102

Brahman - Hill 5906 2747 3159

Yadav 17 6 11

Magar 889 403 486

Rai 19 9 10

Tharu 8062 3668 4394 Gurung 215 88 127

Tamang 562 261 301


Newar 1139 562 577

Thakuri 11 5 6

Musalman 440 263 177 Sarki 22 12 10

Kami 463 210 253

Teli 11 7 4

Yadav 43 29 14


Rai 50 24 26 Musahar 91 42 49

Gurung 192 92 100

Dusadh/Pasawan/Pasi

15 8 7



Thakuri 90 42 48

Kanu 27 14 13

Sarki 89 52 37


Teli 102 73 29

Rajput 12 6 6

Chamar/Harijan/Ram

37 24 13

Darai 1287 574 713

Kurmi 13 10 3

Bote 44 20 24

Sanyasi/Dashnami 97 42 55 Ghale 15 6 9

Dhanuk 19 12 7

Others 37 15 22

Dusadh/Pasawan/Pasi

99 50 49

Korak Total Male Female

Sonar 13 6 7

11

All Caste 6550 3296 3254


Magar 18 11 7


Tamang 2883 1460 1423


Newar 53 25 28

Mallaha 33 24 9

Kami 123 70 53

Kalwar 70 42 28

Sunuwar 73 41 32

Kumal 23 12 11



Others 31 9 22

Kanu 267 145 122

Lothar Total Male Female

Lohar 22 15 7

All Caste 5047 2583 2464

Majhi 22 14 8

Chhetree 11 7 4


Tamang 665 345 320

Haluwai 42 31 11

Newar 37 17 20

Marwadi 12 8 4 Kami 35 24 11

Thami 11 2 9


Darai 104 57 47

Others 25 9 16

Bote 24 17 7

Kumroj Total Male Female

Others 97 59 38

All Caste 8082 3758 4324

Terai Others 14 7 7 Chhetree 1162 546 616

Mangalpur Total Male Female

Brahman - Hill 2089 991 1098

All Caste 19066 8970 10096

Magar 74 34 40

Chhetree 3971 1805 2166

Tharu 2876 1302 1574

Brahman - Hill 5106 2393 2713

Tamang 374 170 204

Magar 886 421 465

Newar 190 95 95

Tharu 211 122 89

Kami 253 112 141

Tamang 1022 483 539

Gurung 213 97 116

Newar 771 357 414


Musalman 118 63 55 Thakuri 23 8 15

Kami 1653 781 872

Sarki 79 38 41

Yadav 44 33 11


Rai 40 15 25 Tatma/Tatwa 12 5 7

Gurung 1945 903 1042

Kayastha 12 6 6

Damai/Dholi 637 305 332 Darai 264 131 133

Limbu 16 5 11

Bote 164 78 86

Thakuri 146 71 75

Ghale 15 6 9

Sarki 449 202 247

Others 114 64 50

Teli 34 23 11


Koiri/Kushwaha 16 7 9 Madi Kalyanpur Total Male Female


All Caste 6836 3045 3791

Kathbaniyan 17 8 9 Chhetree 990 424 566


Brahman - Hill 2421 1076 1345

Kumal 231 113 118

Magar 182 94 88


Tharu 620 265 355

Sudhi 20 13 7

Tamang 244 104 140

Majhi 16 14 2

Newar 68 30 38


Musalman 70 32 38

Darai 591 285 306

Kami 976 439 537

Thakali 11 8 3

Yadav 11 5 6

Bote 72 31 41

12

Rai 188 88 100

Brahmu/Baramo 72 38 34

Gurung 435 197 238

Gaine 12 6 6


Badi 79 40 39

Thakuri 22 7 15

Hyolmo 46 27 19

Sarki 49 27 22

Ghale 345 154 191

Teli 57 33 24

Nachhiring 14 7 7

Kurmi 11 6 5

Others 91 59 32

Kathbaniyan 18 9 9



Undefined Others

11 4 7

Kalwar 16 7 9

Foreigner 14 6 8

Kanu 14 7 7

Padampur Total Male Female

Majhi 19 8 11

All Caste 14924 7104 7820



Darai 44 23 21

Brahman - Hill 2595 1227 1368

Bote 11 5 6

Magar 220 108 112

Gaine 39 23 16

Tharu 5128 2409 2719

Others 38 17 21

Tamang 2454 1214 1240

Meghauli Total Male Female

Newar 465 221 244

All Caste 14149 6341 7808

Musalman 34 28 6


Kami 310 144 166

Brahman - Hill 3156 1397 1759

Rai 37 18 19

Magar 416 163 253

Gurung 294 136 158

Tharu 3907 1739 2168


Tamang 409 187 222

Thakuri 113 50 63

Newar 326 151 175

Sarki 19 10 9

Musalman 36 22 14


Kami 361 167 194


Rai 19 9 10

Kathbaniyan 14 8 6

Gurung 460 209 251



Kumal 281 148 133

Thakuri 57 23 34

Kanu 12 3 9

Sarki 22 11 11

Majhi 48 25 23



Musahar 53 27 26

Darai 76 38 38


Bote 314 160 154

Mallaha 23 15 8

Ghale 21 8 13

Kumal 3264 1475 1789

Others 86 35 51

Majhi 11 5 6

Patihani Total Male Female

Darai 120 57 63

All Caste 11500 5282 6218

Chhantyal/Chhantel

22 7 15

Chhetree 1526 681 845

Bote 142 64 78

Brahman - Hill 3878 1788 2090

Gaine 15 8 7

Magar 299 134 165

Others 84 41 43

Tharu 2124 972 1152

Parbatipur Total Male Female

Tamang 245 111 134

All Caste 6506 2937 3569

Newar 157 63 94


Musalman 89 52 37

13

Brahman - Hill 2074 944 1130

Kami 1241 586 655

Magar 289 122 167

Rai 26 12 14

Tharu 24 13 11

Gurung 705 308 397

Tamang 655 285 370


Newar 285 130 155

Thakuri 53 27 26

Musalman 21 17 4

Sarki 209 98 111

Kami 865 386 479


Rai 19 11 8


Gurung 607 281 326



Kalwar 15 8 7

Sarki 372 168 204



Darai 17 10 7


Bote 334 166 168

Others 71 41 30

Badi 12 5 7

Piple Total Male Female

Ghale 13 6 7

All Caste 15455 7412 8043

Others 71 37 34

Chhetree 2548 1196 1352

Undefined Others

18 8 10

Brahman - Hill 3696 1738 1958

Pithuwa Total Male Female

Magar 474 229 245

All Caste 12579 5696 6883

Tharu 25 15 10

Chhetree 2431 1103 1328

Tamang 2431 1205 1226

Brahman - Hill 5137 2328 2809

Newar 611 278 333

Magar 614 265 349

Musalman 57 31 26

Tamang 856 388 468

Kami 539 258 281

Newar 895 418 477

Rai 1229 539 690

Musalman 22 10 12

Gurung 267 117 150

Kami 651 285 366


Rai 24 10 14

Thakuri 88 47 41

Gurung 848 386 462

Sarki 344 167 177


Teli 11 6 5

Thakuri 41 22 19


Sarki 268 123 145

Sonar 25 16 9




Hajam/Thakur 13 7 6

Kumal 124 60 64

Sunuwar 15 4 11


Danuwar 715 361 354

Others 66 33 33


Saradanagar Total Male Female Ghale 24 13 11

All Caste 11508 5187 6321

Others 76 41 35

Chhetree 620 278 342 Dalit Others 100 49 51

Brahman - Hill 2265 1055 1210


Magar 952 413 539 Ratnanagar

Municipality Total Male Female

Tharu 964 457 507

All Caste 46367 22173 24194

Tamang 1723 754 969

Chhetree 5574 2570 3004

Newar 246 117 129

Brahman - Hill 15649 7343 8306

Musalman 40 24 16

Magar 1215 558 657

Kami 627 274 353

Tharu 7101 3386 3715

Yadav 12 8 4

14

Tamang 2946 1436 1510

Rai 38 19 19

Newar 3309 1567 1742

Gurung 2840 1243 1597

Musalman 1699 901 798


Kami 1584 752 832

Thakuri 86 39 47

Yadav 73 50 23

Sarki 171 82 89

Rai 185 87 98


Gurung 1066 479 587



Kumal 62 34 28

Limbu 24 11 13

Hajam/Thakur 15 7 8

Thakuri 267 135 132

Darai 22 12 10

Sarki 736 341 395

Badi 43 21 22

Teli 139 91 48

Hyolmo 29 15 14

Chamar/Harijan/Ram

16 13 3

Ghale 51 19 32


Others 47 26 21

Kurmi 72 53 19

Sibanagar Total Male Female


All Caste 7674 3421 4253

Dhanuk 11 7 4

Chhetree 1150 512 638

Musahar 88 48 40

Brahman - Hill 2698 1207 1491

Dusadh/Pasawan/Pasi

50 30 20

Magar 391 172 219


Tharu 42 21 21


Tamang 295 139 156


Newar 160 77 83

Mallaha 86 58 28

Musalman 20 11 9 Kalwar 280 143 137

Kami 871 394 477

Kumal 558 286 272

Rai 11 3 8 Hajam/Thakur 73 46 27

Gurung 1015 440 575

Kanu 55 42 13

Damai/Dholi 368 175 193 Sunuwar 41 25 16

Limbu 15 3 12

Sudhi 15 7 8

Thakuri 39 17 22

Lohar 24 16 8

Sarki 159 62 97 Majhi 54 30 24


Nuniya 13 8 5

Sonar 14 5 9 Kumhar 12 7 5



Kumal 19 10 9 Haluwai 85 47 38

Darai 93 39 54

Marwadi 24 10 14

Mali 61 30 31

Thami 13 6 7

Badi 82 34 48

Darai 719 342 377

Ghale 32 14 18

Mali 44 20 24

Others 19 11 8

Bote 13 7 6

Sukranagar Total Male Female Badi 96 49 47

All Caste 8057 3693 4364

Halkhor 19 12 7

Chhetree 729 331 398 Punjabi/Shikh 11 7 4

Brahman - Hill 2655 1213 1442

Hyolmo 27 13 14

Magar 132 58 74

Others 100 54 46

Tharu 2224 1003 1221

Dalit Others 56 27 29

Tamang 130 61 69


Newar 136 58 78

15

Shaktikhor Total Male Female

Musalman 22 12 10

All Caste 9418 4597 4821

Kami 750 338 412

Chhetree 1277 614 663

Gurung 226 106 120



Magar 947 469 478

Limbu 22 11 11

Tharu 11 6 5

Thakuri 16 6 10

Tamang 551 269 282

Sarki 194 99 95

Newar 787 381 406


Musalman 12 6 6


Kami 420 196 224

Kumal 206 98 108

Rai 15 5 10

Bote 199 88 111

Gurung 921 451 470

Ghale 32 14 18


Others 59 40 19

Thakuri 20 15 5


Sarki 30 14 16

Siddi Total Male Female


All Caste 3827 1891 1936

Sonar 32 15 17

Magar 39 18 21


Tamang 355 176 179


Kami 54 29 25

Kayastha 50 23 27

Gurung 35 13 22

Others 23 12 11


Others 12 6 6


Water Level Population Ayodhyapuri

Bachhauli

WARD HOUSEHOLD

POPULATION WARD HOUSEHOLD

POPULATION

TOTAL MALE FEMALE TOTAL MALE FEMALE

1 182 726 320 406 1 134 687 327 360

2 283 1,041 447 594 2 270 1,198 659 539

3 177 654 283 371 3 450 2,122 1,058 1,064

4 45 190 85 105 4 195 899 425 474

5 175 611 278 333 5 164 788 396 392

6 448 1,785 813 972 6 355 1,644 802 842

7 267 1,133 521 612 7 141 738 357 381

8 185 741 321 420 8 254 1,216 594 622

9 793 3,812 1,846 1,966 9 358 1,613 769 844

TOTAL 2,555 10,693 4,914 5,779 TOTAL 2,321 10,905 5,387 5,518

Bagauda

Bhandara

WARD HOUSEHOLD


POPULATION


1 323 1,334 591 743 1 1,093 4,905 2,329 2,576

2 310 1,453 642 811 2 435 2,003 934 1,069

3 450 1,862 859 1,003 3 135 705 340 365

4 241 1,059 481 578 4 167 811 365 446

5 89 427 190 237 5 200 835 387 448

16

6 179 925 436 489 6 104 543 247 296

7 157 649 277 372 7 147 731 334 397

8 306 1,192 496 696 8 1,013 4,678 2,160 2,518

9 477 2,012 884 1,128 9 195 910 433 477

TOTAL 2,532 10,913 4,856 6,057 TOTAL 3,489 16,121 7,529 8,592


Birendranagar

WARD HOUSEHOLD


POPULATION


1 1,500 6,115 3,098 3,017 1 616 2,850 1,308 1,542

2 4,164 16,218 8,035 8,183 2 591 2,636 1,280 1,356

3 1,002 4,451 2,363 2,088 3 375 1,673 816 857

4 3,529 14,461 7,760 6,701 4 277 1,261 583 678

5 1,680 6,873 3,315 3,558 5 274 1,233 553 680

6 1,954 7,609 3,595 4,014 6 165 787 365 422

7 2,690 10,505 5,087 5,418 7 173 715 314 401

8 1,566 6,845 3,287 3,558 8 468 1,982 885 1,097

9 2,343 9,116 4,340 4,776 9 435 1,797 805 992

10 6,477 21,844 11,042 10,802 TOTAL 3,374 14,934 6,909 8,025

11 5,314 21,004 10,179 10,825 Chandi Bhanjyang

12 2,837 10,939 5,364 5,575 WARD HOUSEHOLD

POPULATION

13 930 3,762 1,783 1,979 TOTAL MALE FEMALE

14 953 4,094 1,927 2,167 1 28 159 79 80

TOTAL 36,939 143,83

6 71,175 72,661 2 30 168 81 87

Chainpur

3 41 258 127 131

WARD HOUSEHOLD POPULATION 4 65 419 232 187

TOTAL MALE FEMALE 5 176 1,050 493 557

1 618 2,691 1,279 1,412 6 130 825 411 414

2 503 2,290 1,084 1,206 7 100 622 303 319

3 628 2,754 1,272 1,482 8 91 533 272 261

4 284 1,425 669 756 9 186 944 462 482

5 195 944 424 520 TOTAL 847 4,978 2,460 2,518

6 263 1,184 530 654 Darechok

7 416 1,760 814 946 WARD HOUSEHOLD

POPULATION

8 434 1,882 858 1,024 TOTAL MALE FEMALE

9 438 1,856 822 1,034 1 44 221 109 112

TOTAL 3,779 16,786 7,752 9,034 2 78 366 183 183

Dahakhani

3 719 3,522 1,766 1,756

WARD HOUSEHOLD POPULATION 4 659 2,932 1,497 1,435

TOTAL MALE FEMALE 5 92 455 227 228

1 52 253 117 136 6 50 302 147 155

2 61 323 156 167 7 180 820 412 408

3 102 545 272 273 8 35 195 116 79

4 57 294 145 149 9 172 794 379 415

5 31 169 78 91 TOTAL 2,029 9,607 4,836 4,771

17

6 114 601 289 312 Fulbari

7 124 620 288 332 WARD HOUSEHOLD

POPULATION

8 114 519 253 266 TOTAL MALE FEMALE

9 284 1,479 706 773 1 144 598 299 299

TOTAL 939 4,803 2,304 2,499 2 68 275 118 157

Dibyanagar

3 130 546 252 294



1 203 800 384 416 6 113 445 212 233

2 253 1,146 520 626 7 66 275 120 155

3 188 877 371 506 8 159 678 308 370

4 46 256 115 141 9 150 588 277 311

5 98 418 193 225 TOTAL 945 3,862 1,791 2,071

6 323 1,415 636 779 Gitanagar

7 238 1,003 481 522 WARD HOUSEHOLD

POPULATION

8 347 1,408 623 785 TOTAL MALE FEMALE

9 240 1,011 464 547 1 449 1,841 861 980

TOTAL 1,936 8,334 3,787 4,547 2 198 776 366 410

Gardi

3 119 511 247 264

WARD HOUSEHOLD POPULATION 4 491 1,992 911 1,081

TOTAL MALE FEMALE 5 493 2,038 970 1,068

1 163 714 307 407 6 431 1,790 814 976

2 361 1,456 614 842 7 630 2,558 1,237 1,321

3 313 1,307 566 741 8 240 1,041 492 549

4 163 738 322 416 9 324 1,382 655 727

5 186 852 394 458 TOTAL 3,375 13,929 6,553 7,376

6 151 661 294 367 Jagatpur


POPULATION


9 164 695 301 394 1 733 2,931 1,314 1,617

TOTAL 2,168 9,241 4,061 5,180 2 254 1,112 528 584

Gunjanagar

3 89 396 178 218

WARD HOUSEHOLD POPULATION 4 277 1,119 521 598


1 416 1,736 803 933 6 160 698 322 376

2 481 1,967 901 1,066 7 269 1,181 563 618

3 153 609 290 319 8 153 697 340 357

4 377 1,507 699 808 9 559 2,439 1,166 1,273

5 623 2,646 1,198 1,448 TOTAL 2,635 11,195 5,217 5,978

6 380 1,600 715 885 Kabilas


POPULATION


9 240 1,150 508 642 1 409 2,003 972 1,031

TOTAL 3,546 15,071 6,829 8,242 2 247 1,202 588 614

Jutpani

3 40 239 116 123

18



1 701 2,924 1,378 1,546 6 49 262 121 141

2 174 772 371 401 7 43 208 106 102

3 417 1,782 800 982 8 52 234 110 124

4 647 2,803 1,253 1,550 9 166 856 407 449

5 383 1,561 708 853 TOTAL 1,164 5,815 2,818 2,997

6 249 1,116 538 578 Kaule


POPULATION


9 316 1,448 695 753 1 67 429 221 208

TOTAL 3,325 14,324 6,626 7,698 2 208 1,398 694 704

Kathar

3 140 745 373 372



1 158 818 352 466 6 111 530 263 267

2 154 750 348 402 7 115 716 379 337

3 378 1,692 786 906 8 82 450 236 214

4 141 636 300 336 9 83 473 235 238

5 210 986 450 536 TOTAL 963 5,614 2,860 2,754

6 219 997 448 549 Korak


POPULATION


9 331 1,611 714 897 1 163 864 459 405

TOTAL 2,040 9,696 4,410 5,286 2 35 199 90 109

Khairahani

3 56 371 186 185



1 439 2,078 961 1,117 6 34 230 113 117

2 634 2,892 1,332 1,560 7 316 1,723 874 849

3 260 1,323 557 766 8 232 1,338 654 684

4 1,370 5,915 2,933 2,982 9 121 638 321 317

5 370 1,703 782 921 TOTAL 1,161 6,550 3,296 3,254

6 637 2,821 1,372 1,449 Lothar

7 463 2,072 966 1,106 WARD HOUSEHOLD

POPULATION


9 158 691 329 362 1 111 671 344 327

TOTAL 4,762 21,530 10,155 11,375 2 71 475 250 225

Kumroj

3 110 699 356 343



1 200 907 437 470 6 61 412 211 201

2 161 788 375 413 7 72 490 240 250

3 264 1,204 562 642 8 81 522 288 234

4 277 1,227 585 642 9 105 723 367 356

19

5 186 911 405 506 TOTAL 766 5,047 2,583 2,464

6 130 613 279 334 Mangalpur


POPULATION


9 54 240 111 129 1 484 2,021 955 1,066

TOTAL 1,750 8,082 3,758 4,324 2 563 2,341 1,150 1,191

Madi Kalyanpur

3 245 1,010 464 546

WARD HOUSEHOLD POPULATION 4 502 2,101 1,002 1,099

TOTAL MALE FEMALE 5 760 3,353 1,550 1,803

1 122 526 231 295 6 594 2,511 1,177 1,334

2 230 943 420 523 7 260 1,103 499 604

3 173 673 281 392 8 538 2,171 1,030 1,141

4 328 1,295 557 738 9 581 2,455 1,143 1,312

5 322 1,209 552 657 TOTAL 4,527 19,066 8,970 10,096

6 137 562 266 296 Padampur


POPULATION


9 132 527 240 287 1 305 1,356 634 722

TOTAL 1,705 6,836 3,045 3,791 2 345 1,531 705 826

Meghauli

3 281 1,287 589 698



1 354 1,680 751 929 6 342 1,640 772 868

2 358 1,770 809 961 7 170 819 387 432

3 298 1,429 653 776 8 912 4,129 2,018 2,111

4 313 1,490 662 828 9 355 1,754 846 908

5 628 2,851 1,248 1,603 TOTAL 3,231 14,924 7,104 7,820

6 118 598 271 327 Patihani


POPULATION


9 303 1,277 579 698 1 226 874 410 464

TOTAL 3,086 14,149 6,341 7,808 2 302 1,226 550 676

Parbatipur

3 473 1,921 858 1,063

WARD HOUSEHOLD POPULATION 4 512 2,016 933 1,083


1 107 402 187 215 6 165 670 293 377

2 98 389 173 216 7 213 848 396 452

3 86 353 151 202 8 504 1,997 929 1,068

4 236 954 437 517 9 128 578 264 314

5 215 874 395 479 TOTAL 2,845 11,500 5,282 6,218

6 230 920 416 504 Pithuwa


POPULATION


9 200 803 346 457 1 434 1,807 792 1,015

20

TOTAL 1,614 6,506 2,937 3,569 2 381 1,686 750 936

Piple

3 468 2,063 929 1,134



1 126 631 315 316 6 129 565 283 282

2 146 766 354 412 7 487 2,100 952 1,148

3 11 59 24 35 8 336 1,525 699 826

4 303 1,528 744 784 9 278 1,178 538 640

5 523 2,414 1,157 1,257 TOTAL 2898 12,579 5696 6883

6 475 2,397 1,179 1,218 Saradanagar

7 1,356 6,107 2,856 3,251 WARD HOUSEHOLD

POPULATION


TOTAL 3,265 15,455 7,412 8,043 1 554 2,295 999 1,296


2 355 1,485 634 851



1 1,141 4,999 2,450 2,549 5 477 1,973 920 1,053

2 1,063 4,589 2,267 2,322 6 81 376 175 201

3 914 4,057 1,949 2,108 7 218 975 454 521

4 904 4,134 1,969 2,165 8 285 1,169 535 634

5 791 3,502 1,687 1,815 9 329 1,437 640 797

6 391 1,763 863 900 TOTAL 2,692 11,508 5,187 6,321

7 638 2,847 1,344 1,503 Sibanagar

8 1,390 5,789 2,790 2,999 WARD HOUSEHOLD

POPULATION


10 884 3,492 1,611 1,881 1 142 594 272 322

11 608 2,519 1,151 1,368 2 164 705 312 393

12 760 3,227 1,518 1,709 3 104 432 197 235

13 687 2,725 1,286 1,439 4 198 808 337 471

TOTAL 10,851 46,367 22,173 24,194 5 403 1,665 747 918

Shaktikhor

6 169 690 309 381



1 172 982 493 489 9 198 799 355 444

2 91 542 269 273 TOTAL 1,868 7,674 3,421 4,253

3 133 846 423 423 Sukranagar

4 250 1,229 602 627 WARD HOUSEHOLD

POPULATION


6 138 680 334 346 1 268 1,083 515 568

7 238 1,177 554 623 2 435 1,869 849 1,020

8 348 1,646 810 836 3 366 1,551 726 825

9 326 1,379 647 732 4 213 915 408 507

TOTAL 1,909 9,418 4,597 4,821 5 28 142 70 72

Siddi

6 85 406 181 225


21


1 43 210 103 107 9 172 802 348 454

2 135 736 374 362 TOTAL 1,863 8,057 3,693 4,364

3 72 451 226 225

4 39 266 133 133

5 49 317 151 166

6 92 562 272 290

7 54 280 124 156

8 77 466 236 230

9 90 539 272 267

TOTAL 651 3,827 1,891 1,936


Population aged 5 years and above by literacy status and sex

VDC/ Municipality and sex

Population aged 5

years & above

Population who are Literacy

not stated

Literacy rate

Can read & write

Can read only

Can't read

& write

Total

Both Sex 537,183 413,526 10,579 112,785 293 76.98

Male 256,694 215,282 4,946 36,351 115 83.87

Female 280,489 198,244 5,633 76,434 178 70.68

Ayodhyapuri

Both Sex 9,572 6,433 246 2,873 20 67.21

Male 4,341 3,227 115 991 8 74.34

Female 5,231 3,206 131 1,882 12 61.29

Bachhauli

Both Sex 10,214 7,775 71 2,366 2 76.12

Male 5,011 4,199 34 777 1 83.8

Female 5,203 3,576 37 1,589 1 68.73

Bagauda

Both Sex 10,000 6,923 263 2,804 10 69.23

Male 4,385 3,388 117 874 6 77.26

Female 5,615 3,535 146 1,930 4 62.96

Bhandara

Both Sex 14,873 11,077 247 3,538 11 74.48

Male 6,885 5,613 108 1,159 5 81.53

Female 7,988 5,464 139 2,379 6 68.4


Both Sex 134,054 114,407 1,971 17,623 53 85.34

Male 65,938 59,729 885 5,304 20 90.58

Female 68,116 54,678 1,086 12,319 33 80.27

Birendranagar

Both Sex 13,816 10,547 242 3,024 3 76.34

22

Male 6,320 5,262 131 926 1 83.26

Female 7,496 5,285 111 2,098 2 70.5

Chainpur

Both Sex 15,625 11,710 245 3,658 12 74.94

Male 7,142 5,889 120 1,131 2 82.46

Female 8,483 5,821 125 2,527 10 68.62

Chandi Bhanjyang

Both Sex 4,353 2,548 311 1,492 2 58.53

Male 2,157 1,349 160 646 2 62.54

Female 2,196 1,199 151 846 0 54.6

Dahakhani

Both Sex 4,246 2,329 323 1,594 0 54.85

Male 2,041 1,291 155 595 0 63.25

Female 2,205 1,038 168 999 0 47.07

Darechok

Both Sex 8,836 6,838 253 1,729 16 77.39

Male 4,437 3,707 103 621 6 83.55

Female 4,399 3,131 150 1,108 10 71.18

Dibyanagar

Both Sex 7,756 6,115 104 1,536 1 78.84

Male 3,493 3,055 44 394 0 87.46

Female 4,263 3,060 60 1,142 1 71.78

Fulbari

Both Sex 3,637 3,019 77 540 1 83.01

Male 1,668 1,501 29 138 0 89.99

Female 1,969 1,518 48 402 1 77.09

Gardi

Both Sex 8,570 5,946 210 2,412 2 69.38

Male 3,739 2,872 89 776 2 76.81

Female 4,831 3,074 121 1,636 0 63.63

Gitanagar

Both Sex 13,024 10,333 292 2,386 13 79.34

Male 6,063 5,207 125 725 6 85.88

Female 6,961 5,126 167 1,661 7 73.64

Gunjanagar

Both Sex 14,023 10,849 245 2,921 8 77.37

Male 6,276 5,329 123 821 3 84.91

Female 7,747 5,520 122 2,100 5 71.25

Jagatpur

Both Sex 10,319 7,750 75 2,494 0 75.1

Male 4,745 3,893 43 809 0 82.04

Female 5,574 3,857 32 1,685 0 69.2

23

Jutpani

Both Sex 13,340 9,953 366 3,010 11 74.61

Male 6,109 5,052 171 884 2 82.7

Female 7,231 4,901 195 2,126 9 67.78

Kabilas

Both Sex 5,361 3,812 189 1,357 3 71.11

Male 2,588 2,058 82 447 1 79.52

Female 2,773 1,754 107 910 2 63.25

Kathar

Both Sex 9,023 6,308 168 2,542 5 69.91

Male 4,062 3,119 69 872 2 76.78

Female 4,961 3,189 99 1,670 3 64.28

Kaule

Both Sex 4,835 2,388 216 2,229 2 49.39

Male 2,482 1,412 107 962 1 56.89

Female 2,353 976 109 1,267 1 41.48

Khairahani

Both Sex 20,231 15,630 360 4,230 11 77.26

Male 9,444 8,014 135 1,292 3 84.86

Female 10,787 7,616 225 2,938 8 70.6

Korak

Both Sex 5,707 3,545 374 1,781 7 62.12

Male 2,885 1,982 182 716 5 68.7

Female 2,822 1,563 192 1,065 2 55.39

Kumroj

Both Sex 7,483 5,232 121 2,123 7 69.92

Male 3,439 2,686 51 700 2 78.1

Female 4,044 2,546 70 1,423 5 62.96

Lothar

Both Sex 4,269 1,951 295 2,019 4 45.7

Male 2,182 1,134 171 875 2 51.97

Female 2,087 817 124 1,144 2 39.15

Madi Kalyanpur

Both Sex 6,275 4,672 90 1,512 1 74.45

Male 2,751 2,282 38 431 0 82.95

Female 3,524 2,390 52 1,081 1 67.82

Mangalpur

Both Sex 17,654 13,726 272 3,652 4 77.75

Male 8,212 7,010 122 1,078 2 85.36

Female 9,442 6,716 150 2,574 2 71.13

Meghauli

Both Sex 13,074 9,748 162 3,152 12 74.56

Male 5,795 4,770 68 951 6 82.31

24

Female 7,279 4,978 94 2,201 6 68.39

Padampur

Both Sex 13,668 9,527 319 3,820 2 69.7

Male 6,499 5,013 168 1,317 1 77.13

Female 7,169 4,514 151 2,503 1 62.97

Parbatipur

Both Sex 6,063 4,658 142 1,262 1 76.83

Male 2,710 2,287 73 349 1 84.39

Female 3,353 2,371 69 913 0 70.71

Patihani

Both Sex 10,753 8,214 180 2,354 5 76.39

Male 4,895 4,132 76 686 1 84.41

Female 5,858 4,082 104 1,668 4 69.68

Piple

Both Sex 14,109 9,857 452 3,795 5 69.86

Male 6,704 5,110 237 1,355 2 76.22

Female 7,405 4,747 215 2,440 3 64.11

Pithuwa

Both Sex 11,793 8,860 259 2,668 6 75.13

Male 5,288 4,417 125 743 3 83.53

Female 6,505 4,443 134 1,925 3 68.3


Both Sex 43,373 33,840 671 8,818 44 78.02

Male 20,555 17,451 295 2,793 16 84.9

Female 22,818 16,389 376 6,025 28 71.82

Saradanagar

Both Sex 10,736 8,749 95 1,889 3 81.49

Male 4,795 4,261 33 501 0 88.86

Female 5,941 4,488 62 1,388 3 75.54

Shaktikhor

Both Sex 8,433 5,596 196 2,639 2 66.36

Male 4,079 2,985 102 991 1 73.18

Female 4,354 2,611 94 1,648 1 59.97

Sibanagar

Both Sex 7,163 5,683 69 1,410 1 79.34

Male 3,145 2,757 26 362 0 87.66

Female 4,018 2,926 43 1,048 1 72.82

Siddi

Both Sex 3,289 1,604 141 1,544 0 48.77

Male 1,637 939 86 612 0 57.36

Female 1,652 665 55 932 0 40.25

Sukranagar

25

Both Sex 7,488 5,590 196 1,701 1 74.65

Male 3,380 2,784 91 505 0 82.37

Female 4,108 2,806 105 1,196 1 68.31

Institutional

Both Sex 10,145 9,784 71 288 2 96.44

Male 8,417 8,116 57 242 2 96.42

Female 1,728 1,668 14 46 0 96.53


livestock and land use pattern Livestock

Land use pattern

S.N. Total No.

of HHs Total No. of Heads

Area in Hector

1 Livestock 70821 400715

Total Forest Area

132746

2 Cattle 29086 71864

Shrub

6230

3 Buffalo 39818 77045

Agriculturai land/ grass 77280

4 Goat 53179 238373

Water bodies

2465

5 Sheep 676 3293

Barren land

3696

6 Pig 4181 9710

Total 222417

7 Rabbit 86 172

8 Other 172 258

Source: National Agriculture Census 2011

26

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s[i0fk|;fb g]kfn –;lrj, /=g=kf= j8f g+= #, a]N;L (*%%)^)#&(

27

#_ r'/] ;+/If0f Snj –sflnsf, zlQmvf]/ uflj; sf kbflwsf/Lx?sf] ljj/0f M


!= nIdL clwsf/L cWoIf (*$%%@@*($

@= z+s/ nfdf pkfWoIf (*$%(%&!##

#= lrqs'df/L clwsf/L sf]iffWoIf (*$%@(*$$)

$= k'ikf af:tf]nf ;lrj (*^)#(^&!$

%= afns[i0f cfn]du/ ;x;lrj (*%%)^$$))

^= l;tf clwsf/L ;b:o

&= l;tf g]kfn ;b:o

*= dvdnL e]6jfn ;b:o

(= ;l/tf kl/of/ ;b:o

!)= Dffg axfb'/ tfdfË ;b:o

!!= ;Gt dfof u'?Ë ;b:o

!@= lbn dfof k|hf ;b:o

!# /fdz/0f clwsf/L ;b:o

ch{'g k+u]gL – ;lrj, zlQmvf]/ uflj; (*$%)%^*@#

$_ r'/] ;+/If0f Snj–zlQmvf]/ (, u}l/ufpFsf kbflwsf/Lx?sf] ljj/0f M


!= t'n axfb'/ du/ cWoIf (*!$@@#%)^

@= uf}dfof yfkf du/ pkfWoIf (*$%#(^)($

#= lnnf dfof du/ sf]iffWoIf (*$%#$^()$

$= lnnf s'df/L cfn]du/ ;lrj (*$%%$$$$)

%= /fddfof aonsf]6L ;x;lrj (*^%)@)(^&

^= lxt s'df/L l;+x ;b:o

&= cfZdf uf]n] ;b:o

*= h'gf /fgf du/ ;b:o

(= ;'lznf cfn] du/ ;b:o

!)= l/tf yfkf du/ ;b:o

!!= b]j' dfof If]qL ;b:o

!@= xl/dfof cfn] du/ ;b:o

!#= /fd axfb'/ yfkf du/ ;b:o

!$= g/ axfb'/ yfkf du/ ;b:o

!%= ldg s'df/L du/ ;b:o

28

%_ r'/] ;+/If0f Snj –/=g=kf=–$, ef]sfxfsf kbflwsf/Lx?sf] ljj/0f M


!= sf/L dxQf] cWoIf (*$%#@!$#@

@= sNkgf rf}w/L pkfWoIf

#= ;f]gdtL sf]iffWoIf

$= lb3{gf/fo0f rf}w/L ;lrj

%= Ps/fh rf}w/L ;x;lrj

^= ljGb' rf}w/L ;b:o

&= 6's'jf dxQf] ;b:o

*= /ljGb| rf}w/L ;b:o (*$%!$)**$

(= ;fjgf dxQf] ;b:o (*$%@$!^(!

^_ r'/] ;+/If0f Snj –/=g=kf=–!$, gofFal:tsf kbflwsf/Lx?sf] ljj/0f M


!= b]jL l3ld/] cWoIf (*$%&(#^@!

@= nIdL bnf{dL pkfWoIf (*!&@**(#&

#= lagf]b nfdf sf]iffWoIf (*$!$@#%#^

$= ;'/]z k|hf ;lrj (*)$!&$&&%

%= ;/:jtL e6[ ;x;lrj (*$%#$@^@&

^= d+un ljZjsdf{ ;b:o (*)^&$#&)#

&= k"0f{ /kfn ;b:o (*!^@#%#*%

*= l;tf la=s= ;b:o (*!%@!*@%$

(= nIdL lyË ;b:o

!)= zf]ef 9+'ufgf ;b:o (*)&!*!*@&

!!= dfO{lt dfof 3nfg ;b:o

!@= z]/ axfb'/ kl/of/ ;b:o

!#= lgdf dxtf] ;b:o

!$= Zofd s'dfn ;b:o

!%= ;fljqL v8\sf ;b:o

&_ r'/] ;+/If0f Snj –v}=g=kf=–@, l;dn3f/L r}gk'/sf kbflwsf/Lx?sf] ljj/0f M


!= ch{'g ;fksf]6f cWoIf (*%!)&@#!(

@= led s'df/L cfn] pkfWoIf (*$&$&!&$%

#= clgtf b'jf8L sf]iffWoIf (*$%)*$##(

$= b'u{ axfb'/ dxt ;lrj (*$%)^#@*@

%= afn s[i0f ;fksf]6f ;x;lrj (*$%!^)*$&

29

^= zf]ef kl/of/ ;b:o (*)%@$)%&&

&= /ZdLtf a:g]t ;b:o (*)&@*@!^*

*= uf]kfn hË kf08] ;b:o (*$%)^^&^(

(= xs{ axfb'/ af]u6L ;b:o (*$%!$@^!^

!)= lai0f' dfof kf08] ;b:o

!!= s[i0f clwsf/L ;b:o (*$%)@^!%&

*_ r'/] ;+/If0f Snj –v}=g=kf=–!, ax]/Lsf kbflwsf/Lx?sf] ljj/0f M


!= /d]z b/fO{ cWoIf (*^%)#!@!(

@= ;'lznf dxQf] pkfWoIf (*)&!*(!)(

#= zflGt rf}w/L sf]iffWoIf

$= /h'jf rf}w/L ;lrj (*!@@@*($(

%= Zofd k|;fb g]kfn ;x;lrj

^= ;l/tf rf}w/L ;b:o

&= lvgf s'df/L rf}w/L ;b:o

*= ;ld{nf b/fO{ ;b:o

(= zflGt dxQf] ;b:o

!)= kmf]x/L dxQf] ;b:o

!!= lgnd dxQf] ;b:o

(_ r'/] ;+/If0f Snj –zlQmvf]/=–!, bf]uf/fsf kbflwsf/Lx?sf] ljj/0f M


!= ;fljqL yfkf cWoIf (*!^@^(%$)

@= lji0f'dfof /fodfemL pkfWoIf (*!&@^^^$%

#= s[i0f axfb'/ la=s= sf]iffWoIf

$= lgd{nf yfkf ;lrj

%= cGh' l;njfn ;x;lrj

^= /~hgf r]kfË ;b:o

&= zf]ef v8sf ;b:o

*= O{Zj/L a:g]t ;b:o

(= lbn s'df/L u'?Ë ;b:o

!)= sy axfb'/ kf}8]n ;b:o

!!= ;'lgtf la=s= ;b:o

30

!)_ r'/] ;+/If0f Snj ––/=g=kf=–$, s'dfn6f/sf kbflwsf/Lx?sf] ljj/0f M


!= /fds[i0f /]UdL cWoIf (*%%)^)^&#

@= b]jL s'df/L ;'j]bL pkfWoIf (*$))^*($#

#= s[i0f k|;fb kf}8]n sf]iffWoIf (*)^*)&$$*

$= nIdL la=s= ;lrj (*!&!!*#@%

%= rGb|snf s]=zL ;x;lrj (*$%!^#&%%

^= laqmd rf}w/L ;b:o

&= Kof/]nfn dfnL ;b:o

*= u0f]z axfb'/ l/dfn ;b:o

(= ladnf du/ ;b:o

!)= kfj{tL s0f{ ;b:o

!!= laZjgfy kf}8]n ;b:o

!!_ r'/] ;+/If0f Snj –/=g=kf=–$, b]af}nLsf kbflwsf/Lx?sf] ljj/0f M


!= o;/fd dxQf] cWoIf (*$%!^)@)(

@= lszf]/ rf}w/L pkfWoIf (*$%#@@^%*

#= /fdnfn rf}w/L sf]iffWoIf (*$%%#!$))

$= lg/h rf}w/L ;lrj (*$%!$^#&)

%= /fhs'df/ dxQf] ;x;lrj (*)&!%%*$^

^= a'l4/fh dxQf] ;b:o

&= ;f]dn dxQf] ;b:o

*= lutf dxQf] ;b:o

(= ;'dg rf}w/L ;b:o

!)= l;ogL s'df/L dxQf] ;b:o

!!= nIdL rf}w/L ;b:o

lzjnfn – ;lrj, /=g=kf=$, b]af}nL (*$%)&))(*

!@_ r'/] ;+/If0f Snj –zlQmvf]/=–&, lr;fkfgLsf kbflwsf/Lx?sf] ljj/0f M


!= h'gf nfdf cWoIf (*!*$!(!)^

@= ldgf kf}8]n pkfWoIf (*!&@$*!)%

#= rGb|dfof tfdfË sf]iffWoIf (*)(@@!#()

$= c~h' clwsf/L ;lrj (*!&@$*!)%

%= sdnf an tfdfË ;x;lrj (*!%@**^@!

^= k'mndfof ;'gf/ ;b:o

&= z]/axfb'/ yfkf ;b:o

31

*= sNk s'df/L g]kfn ;b:o

(= sdnf lu/L ;b:o

!)= ;'l:dtf tfdfË ;b:o

!!= l;/f an tfdfË ;b:o

!#_ r'/] ;+/If0f Snj –/=g=kf=–!^, v}l/6Lsf kbflwsf/Lx?sf] ljj/0f M


!= dg s'df/L >]i7 cWoIf (*$%!)*#$!

@= zflGt u'?Ë pkfWoIf (*)&@&@(#&

#= sf]lknf >]i7 sf]iffWoIf (*$%!)(!&@

$= ck]Iff >]i7 ;lrj (*$%$)^$))

%= dfof u'?Ë ;x;lrj (*!!@^#^!!

^= kbd s'df/L kf]v/]n ;b:o

&= k'mndfof tfdfË ;b:o

*= 8f]n s'df/L du/ ;b:o

(= lbndfof du/ ;b:o

!)= /fddfof du/ ;b:o

!!= 1fg' s'Fj/ ;b:o

!$_ r'/] ;+/If0f Snj –/=g=kf=–!^, lzjfnorf]ssf kbflwsf/Lx?sf] ljj/0f M


!= kmf}b axfb'/ a:g]t cWoIf (*$%$*$!*&

@= lai0f'dfof tfdfË pkfWoIf (*$%$*@@*@

#= lbk axfb'/ clwsf/L sf]iffWoIf (*$%^$*$%@

$= OGb' s'Fj/ ;lrj (*$%#$!*#!

%= dgf]x/ a:g]t ;x;lrj (*$%@$##*&

^= d'gf a:g]t ;b:o

&= eQm axfb'/ a'9fyf]sL ;b:o

*= o'j/fh yfkf ;b:o

(= gGb s'df/L kf08] ;b:o

!)= rqm axfb'/ g]kfn ;b:o

!!= /0f axfb'/ kf08] ;b:o

32

!%_ r'/] ;+/If0f Snj –zlQmvf]/=–(, Go"/]gLsf kbflwsf/Lx?sf] ljj/0f M


!= afns[i0f g]kfn cWoIf (*^%)#(&*#

@= ofgdfof a'9fyf]sL pkfWoIf (*$%@@)&&!

#= O{Gb| s'df/L /fp6 sf]iffWoIf (*$%$@&@&!

$= piff a'9fyf]sL ;lrj (*$#!*$*((

%= slj/fh a'nf{sf]6L ;x;lrj

^= uf]ljGb clwsf/L ;b:o

&= lg/dfof cfn]du/ ;b:o

*= 6]s k|;fb 9sfn ;b:o

(= ;Gt axfb'/ du/ ;b:o

!)= lbn axfb'/ g]kfnL ;b:o

!!= s]z axfb'/ cfn]du/ ;b:o

33

r'/] ;+/If0f Snjsf kbflwsf/Lx?sf] ljj/0fx?

ljBfnox?df r'/] ;+/If0f Snj

!_ r'/] ;+/If0f Snj–>L hgzlQm lg=df=lj= zlQmvf]/ uflj;sf kbflwsf/Lx?sf] ljj/0f M


!= bz{g >]i7 cWoIf (*!(@$%@$@

@= c~hgf e08f/L pkfWoIf

#= k|sfz >]i7 sf]iffWoIf (*!$@)@^&^

$= lgd{n r]kfË ;lrj

%= ljgf u?Ë ;x;lrj

^= ;+hf]s du/ ;b:o (*!&@%!!#%

&= ;ldIff lj=s= ;b:o (*!!**^&%$

*= ;fu/ kl/of/ ;b:o (*!(@(@%)), (*!(@$%@@$@

(= an/fd r]kfË ;b:o (*!^@#$$$!

!)= ;~ho nfdf ;b:o (*)&@%*)(^

!!= /f]lhgf g]kfn ;b:o (*!^@(##^!

O{Gb|dfof u'?Ë —lzlIfsf (*)***)&$#

lji0f'dfof —lzlIfsf (&$%)&$(@%

cDj/ axfb'/ kf}8]n k|=c= (*$%%(@@@^

@_ r'/] ;+/If0f Snj–>L rt'd{'vL p=df=lj=zlQmvf]/ uflj;sf kbflwsf/Lx?sf] ljj/0f M


!= /f]x0f >]i7 cWoIf )%^—^^!*^$

@= k|ldzf kf08] pkfWoIf (*!&@%!$)#

#= clZdtf lu/L sf]iffWoIf (*)$@!^(()

$= ;'r]Gb| r]kfË ;lrj (*!%@)$&@#

%= cltly cof{n ;x;lrj (*&!@(%$(

^= gGbdfof u'?Ë ;b:o

&= gj/fh r]kfË ;b:o (*)$@$$$$!

*= r]t gf/fo0f >]i7 ;b:o (*)(!*^&$$

(= h]D; k|hf ;b:o

!)= rfFbgL >]i7 ;b:o

!!= cd[tf u'?Ë ;b:o ()!&@&$#!)

!@= ;ljg k'/L ;b:o

!#= ;lhg kl/of/ ;b:o

xl/ axfb'/ vjf; —lzIfs (*$%)$^&&(

k'/L ;/ —k|=c= (*!$@)@^@&

34

#= r'/] ;+/If0f Snj–>L lg=df=lj= Go"/]gL, zlQmvf]/ uflj;sf kbflwsf/Lx?sf] ljj/0f M


!= laGbf kf}8]n cWoIf (*$%@$^&#%

@= ;fu/ nfdf pkfWoIf

#= zf]ef r]kfË sf]iffWoIf

$= zf]ef e6[ ;lrj (*$%$*$!!^

%= pQd bfxfn ;x;lrj

^= lbkf :ofËtfg ;b:o

&= wg axfb'/ du/ ;b:o

*= zflGt r]kfË ;b:o

(= clgtf cof{n ;b:o

!)= cflzif yfkf du/ ;b:o

!!= ;'lhtf nfdf ;b:o

kbd axfb'/ /fgfdu/ — lzIfs (*$%)*@^#)

xl/ k|;fb kf}8]n — lzIfs (*$%(%&!$@

s[i0f axfb'/ kf08] k|=c= (*$%^&$!&&

$_ r'/] ;+/If0f Snj–>L s+sfnL df=lj = ax]/L, r}gk'/–! sf kbflwsf/Lx?sf] ljj/0f


!= 1fg' ;'j]bL cWoIf (*$%%@#%@)

@= ldgf lj=s= pkfWoIf (*$#)($#!#

#= clZdtf ufGwf/L sf]iffWoIf (*!$@$!!%&

$= ejb]j ltjf/L ;lrj (*$%@&#&*@

%= lhjg ;xgL ;x;lrj (*$%@$#%^)

^= lszf]/ l;+x 7s'/L ;b:o (*)*$&)#!$

&= nIdL ;'gf/ ;b:o

*= ;'lgtf ufGwf/L ;b:o

(= a;GtL ;'o]n ;b:o (*$%$!%)(!

!)= lszf]/ rf}w/L ;b:o

!!= sljtf b/} ;b:o

c~hgf cfrfo{ — k|wfgfWoflksf (*$%#%)&)*

s~rg rf}w/L — lzIfs (*$%)&%#@&

35

%_ r'/] ;+/If0f Snj –>L lg= df=lj=–/=g=kf=–#, a]N;Lsf kbflwsf/Lx?sf] ljj/0f M


!= cGh' tfdfË cWoIf (*)(@^*!!&

@= lazfn tfdfË pkfWoIf

#= dx]Gb| nfn g]jf/ sf]iffWoIf (*$%#$)%(*

$= Pln;f clwsf/L ;lrj (*$%@@)&&(

%= ljdnf /]UdL ;x;lrj (*!@@@(##@

^= z'Zdf uf}td ;b:o

&= ;'hn l;+x 7s'/L ;b:o

*= ;'hf sfsL{ ;b:o

(= /f]hg k/fh'nL ;b:o

!)= b]jL rf}w/L ;b:o

!!= ;'ldt >]i7 ;b:o

s[i0fk|;fb kf}8]n —;xfos k|wfgfWofks )%^%^#$%# ?Kff d]d

^_ r'/] ;+/If0f Snj–>L hghLjg p=df=lj=–v}/xgL g=kf=–@ sf kbflwsf/Lx?sf] ljj/0f M


!= gfg' s'Fj/ cWoIf (*!$@%@@!!

@= s[kfz /]UdL pkfWoIf (*$%!#**&(

#= ;lsdf vft'g sf]iffWoIf (*$%!$^@($

$= lgd l3l;Ë ;lrj (*!$@^!^(^

%= ls/0f ;'gf/ ;x;lrj (*)(@$&!@*

^= l;jfgL /fjn ;b:o

&= ;'lgtf l3ld/] ;b:o

*= /flwsf cof{n ;b:o

(= Pln;f nfdf ;b:o

!)= piff lu/L ;b:o

!!= clgn kl/of/ ;b:o

xl/ ;/ — (*$%)$&%#^

uf]kfn k|= zdf{ k|=c= (*$%)^%$()

&_ r'/] ;+/If0f Snj –>L lg=df=lj= h'6kfgLahf/sf kbflwsf/Lx?sf] ljj/0f M


!= ;kgf s'dfn cWoIf (*$%!$$%&%

@= ;lGbk /]UdL pkfWoIf (*$%)&*!(!

#= ;Gtf]ifL u'?Ë sf]iffWoIf

$= lbGbf sfsL ;lrj

%= 1fg axfb'/ u'?Ë ;x;lrj (*$%$)*@&^

36

^= a'w axfb'/ k|hf ;b:o

&= ;? /Dt]n ;b:o

*= clgn la=s= ;b:o

(= laqmd u'?Ë ;b:o

!)= clg;f s'dfn ;b:o

!!= ;fhg 7s'/L ;b:o

n]vgfy e6[ — k|wfgfWofks (*%%)^@%#$

df]xg a:g]t — lzIfs (*$((&!!$!

*_ r'/] ;+/If0f Snj –>L /fli6«o lg=df=lj=–/=g=kf=–$, b]af}nLsf kbflwsf/Lx?sf] ljj/0f M


!= /fh rf}w/L cWoIf

@= l/gf rf}w/L pkfWoIf

#= piff >]i7 sf]iffWoIf

$= ;agd rf}w/L ;lrj

%= cl:dtf rf}w/L ;x;lrj

^= cnlagf rf}w/L ;b:o

&= ;'jfGtL rf}w/L ;b:o

*= /f]xg rf}w/L ;b:o

(= lgsL rf}w/L ;b:o

!)= l;4fGt rf}w/L ;b:o

!!= ;'bfd rf}w/L ;b:o

/fdhL rf}w/L — k|wfgfWofks (*$%)&%)$(

ljqmd rf}w/L — lzIfs (*$%#$*!*)

(_ r'/] ;+/If0f Snj –>L eb|sfnL df=lj= /=g=kf=–!^, xflQuf8]sf kbflwsf/Lx?sf] ljj/0f M


!= /fhs'df/ e'h]n cWoIf (*@!@@&!!#

@= ;lbIff a'9fyf]sL pkfWoIf (*$%#$#@*@

#= ;+lug g]kfn sf]iffWoIf (*)^*@#(@#

$= dlgtf la=s= ;lrj (*)#!!&#$^

%= dlgif u'?Ë ;x;lrj

^= lbkf u'?Ë ;b:o (*$%!^#&%@

&= ;'hg s'dfn ;b:o (*$%$)*@*(

*= k'hf sfsL{ ;b:o (*$%@$)(&(

(= lg/fhg ;fksf]6f ;b:o (*)##!%^#^

!)= ;GWof yfkf ;b:o (*!!!#(*()

!!= b]jsL e'h]n ;b:o (*@!@@^!!#

37

/fdrGb| l3ld/] — lzIfs (*$%)*@^(#

a'l4 axfb'/ yfkf — k|=c= (*$%)*!*$!

/d]z s'Fj/ — lzIfs (*$%!$^)*%

!)_ r'/] ;+/If0f Snj –>L df=lj= /=g=kf=–%, lrq;f/Lsf kbflwsf/Lx?sf] ljj/0f M


!= led;]g bgf{n cWoIf (*)(!*)()%

@= hfgaL rf}w/L pkfWoIf

#= sdnf >]i7 sf]iffWoIf

$= l6df]7L rf}w/L ;lrj

%= b]j s'df/L d}gfnL ;x;lrj

^= /f]lxt dfemL ;b:o

&= lzj/fd dfemL ;b:o

*= k'mjf{ nfdf ;b:o

(= ;+lhj nf]Krg ;b:o

!)= h]lg;f rf}w/L ;b:o

!!= cdg rf}w/L ;b:o

;'o{ k|;fb nfld5fg] k|=c= (*$%!$)^((

dl0f/fh rf}w/L — lzIfs (*$%)*)@*^

r'/] ;+/If0f Snj hDdf @% j6f

lhnnfx?sf] ul/alsf] b/, ul/alsf] ljifdtf / ul/alsf] uxgtf @)^*...bhanjyang 847 823 4 16 1 0 0 0 3...

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