Borio block
Sahebganj district, Jharkhand · 289 villages
Villages
289
Average change
+32.3%
across 208 measurable villages
Population 2011 → 2020
77,083 → 97,820
compared villages only
Villages in this block
| Village | 2011 | 2020 | Change |
|---|---|---|---|
| Adore Bedo | 115 | 210 | +82.6% |
| Adro | 222 | 276 | +24.3% |
| Amarpur | 339 | 245 | -27.7% |
| Amjani | 38 | — | unreliable |
| Amjanipahar | — | — | — |
| Aprol | 1,868 | 2,400 | +28.5% |
| Asanbani | 101 | 70 | -30.7% |
| Bagduma | 192 | 220 | +14.6% |
| Bagduma | 34 | 40 | +17.6% |
| Bagmundi | 553 | 800 | +44.7% |
| Bahera | 64 | — | not measured |
| Balidih | 301 | 470 | +56.1% |
| Bandjhi | 1,158 | 1,450 | +25.2% |
| Bandor | 172 | 223 | +29.6% |
| Banjhi Bazar | 870 | — | unreliable |
| Banskola | 50 | 40 | -20.0% |
| Banspahar | 92 | 200 | +117.4% |
| Bara Bangoan | 441 | 775 | +75.7% |
| Bara Beyasi | 579 | 725 | +25.2% |
| Bara Daulepahar | — | — | — |
| Bara Kurua | 35 | 75 | +114.3% |
| Bara Kusmi | 601 | 750 | +24.8% |
| Bara Lohanda | 709 | 1,297 | +82.9% |
| Bara Mandansahi | 2,515 | 3,580 | +42.4% |
| Bara Pagaro | 404 | 501 | +24.0% |
| Bara Rakso | 852 | 1,050 | +23.2% |
| Bara Taufir | 1,346 | 1,685 | +25.2% |
| Bara Tetariya | 162 | 183 | +13.0% |
| Barachandbasipahar | 287 | 232 | -19.2% |
| Barachatnia | 137 | 100 | -27.0% |
| Baragamharia | 268 | 337 | +25.8% |
| Baraghagra | 225 | — | unreliable |
| Baramasia | 854 | 1,404 | +64.4% |
| Baramasia | 440 | 550 | +25.0% |
| Baramasia | 191 | 246 | +28.8% |
| Baridih | 51 | 75 | +47.1% |
| Barughutu | 99 | 65 | -34.3% |
| Baskobartola | 346 | 445 | +28.6% |
| Basnia | 225 | 300 | +33.3% |
| Bathani | 271 | 350 | +29.1% |
| Bathani | 85 | 130 | +52.9% |
| Bedo Dade | 62 | 110 | +77.4% |
| Bedo Gadra | 48 | 80 | +66.7% |
| Bhalsumiya | 649 | 1,000 | +54.1% |
| Bhurapahar | 71 | 98 | +38.0% |
| Bhurkunda | 88 | 100 | +13.6% |
| Bichpura | 2,159 | 2,600 | +20.4% |
| Bijria | 117 | 133 | +13.7% |
| Binderi (Bender Kola) | 342 | 610 | +78.4% |
| Birbal Kandar | 802 | 832 | +3.7% |
| Bishunpur | 70 | 90 | +28.6% |
| Bishunpur | 1,088 | 1,250 | +14.9% |
| Bobetak | — | — | — |
| Borio (CT) | — | — | — |
| Borrio(Santali) | 4,154 | 5,200 | +25.2% |
| Bundabedo | 68 | — | not measured |
| Buridih | 70 | — | unreliable |
| Chakradawagoda | 194 | 245 | +26.3% |
| Chaldhoa | 539 | 415 | -23.0% |
| Chandbasi | 54 | 108 | +100.0% |
| Chandolapahar | 15 | 19 | +26.7% |
| Chapa | 91 | — | not measured |
| Chapalgodo | 72 | 63 | -12.5% |
| Chaperi | 140 | 185 | +32.1% |
| Chapgawan | 317 | 550 | +73.5% |
| Chasganwan | 1,759 | — | unreliable |
| Chatki | 270 | 320 | +18.5% |
| Chhata Lohanda | 501 | 692 | +38.1% |
| Chhota Baiasi | 645 | 820 | +27.1% |
| Chhota Bandar Kola | 166 | — | unreliable |
| Chhota Banguon | 719 | 850 | +18.2% |
| Chhota Bhiranda | 46 | — | not measured |
| Chhota Daulepahar | — | — | — |
| Chhota Gamharia | — | — | — |
| Chhota Kendau | 691 | 860 | +24.5% |
| Chhota Kusma | 309 | 400 | +29.4% |
| Chhota Madansahi | 939 | — | unreliable |
| Chhota Pagaro | 1,275 | 1,800 | +41.2% |
| Chhota Taufir | — | — | — |
| Chhota Tetariya | 355 | 250 | -29.6% |
| Chiharpari | 28 | 43 | +53.6% |
| Chitrtoke | 26 | — | unreliable |
| Chiutiya | 100 | 120 | +20.0% |
| Churi | 37 | 85 | +129.7% |
| Daharlangi | 72 | 75 | +4.2% |
| Dalabari | 221 | — | unreliable |
| Dalabaripahar | 63 | — | unreliable |
| Daldali | 96 | 120 | +25.0% |
| Dalebari | 27 | — | unreliable |
| Damki | 165 | 210 | +27.3% |
| Dandagora | 22 | 17 | -22.7% |
| Dandi Bedo | 34 | 64 | +88.2% |
| Dandi Mago | 12 | 19 | +58.3% |
| Danowara | 1,077 | 1,385 | +28.6% |
| Danware | 126 | 200 | +58.7% |
| Dapani | 109 | 129 | +18.4% |
| Daugoda | 40 | 50 | +25.0% |
| Daugoda | — | — | — |
| Ddepart | 274 | 294 | +7.3% |
| Demchake | 28 | 62 | +121.4% |
| Depari | — | — | — |
| Dhanela | 681 | — | unreliable |
| Dhapni Paharpur | 30 | 46 | +53.3% |
| Dhobana | 91 | 145 | +59.3% |
| Dhogora | — | — | — |
| Dhuliani | 183 | 208 | +13.7% |
| Dighi | 421 | 521 | +23.8% |
| Digra | 92 | — | unreliable |
| Digra Rakso | — | — | — |
| Dobni | 108 | 153 | +41.7% |
| Dule | 112 | 145 | +29.5% |
| Dule Bedo | — | — | — |
| Dumaria | 495 | 1,200 | +142.4% |
| Dumki | 266 | 325 | +22.2% |
| Durga Tola | 200 | — | not measured |
| Gambari | 144 | 185 | +28.5% |
| Gara Santali | 199 | 210 | +5.5% |
| Gare Bedo | — | — | — |
| Garemago | 70 | 100 | +42.9% |
| Gargari | — | — | — |
| Garra Pahari | 53 | 110 | +107.5% |
| Gaude | 39 | — | not measured |
| Gauripur | 982 | 1,450 | +47.7% |
| Ghangipur | 163 | 220 | +35.0% |
| Ghogi | — | — | — |
| Ghutibera | 336 | 800 | +138.1% |
| Gidakole | 12 | 15 | +25.0% |
| Gobri | 20 | 34 | +70.0% |
| Gobribera | 99 | 125 | +26.3% |
| Godda | 116 | 155 | +33.6% |
| Gogi Mago | — | — | — |
| Gogra | 39 | 48 | +23.1% |
| Gopal Chauki | 369 | 409 | +10.8% |
| Gorda | 785 | 1,060 | +35.0% |
| Gorgama | 704 | 840 | +19.3% |
| Gowaibhita | 95 | — | not measured |
| Guti | 24 | 38 | +58.3% |
| Harinchora | 955 | 1,170 | +22.5% |
| Hathikhuta | 73 | — | unreliable |
| Ichatanr | 171 | 108 | -36.8% |
| Jadutola Ghaghra | 106 | — | unreliable |
| Jamkundar | 126 | 180 | +42.9% |
| Jetkekumarjori | 914 | 665 | -27.2% |
| Jitpur | 213 | 264 | +23.9% |
| Jobardih | 60 | 85 | +41.7% |
| Junatola | 93 | 135 | +45.2% |
| Jurul | 1,093 | 1,586 | +45.1% |
| Kabdona | 111 | 200 | +80.2% |
| Kadampur | 49 | 55 | +12.2% |
| Kadma | 395 | 475 | +20.3% |
| Kahargoda | 27 | — | unreliable |
| Kalkha | 857 | — | unreliable |
| Kamogora | 89 | 123 | +38.2% |
| Kandua | 330 | 380 | +15.2% |
| Karambe | 81 | 90 | +11.1% |
| Karambi | 87 | 88 | +1.1% |
| Karambita | 80 | 79 | -1.3% |
| Karikadar | 212 | 250 | +17.9% |
| Karmatanr | 252 | 312 | +23.8% |
| Karumba | 264 | 450 | +70.5% |
| Kasi(Gonia) | 116 | 150 | +29.3% |
| Kauda | 140 | 200 | +42.9% |
| Keraya | 85 | 160 | +88.2% |
| Kerobera | — | — | — |
| Kerogoda | 100 | 165 | +65.0% |
| Kerojori | 27 | — | unreliable |
| Kerwa Tola | 99 | — | unreliable |
| Khairasol | 276 | 325 | +17.8% |
| Khairasol | 17 | 28 | +64.7% |
| Khairbani | 36 | — | unreliable |
| Khairwa | 1,067 | 2,000 | +87.4% |
| Khajuria | 418 | 442 | +5.7% |
| Khutapahar | 83 | 105 | +26.5% |
| Kitajhor | 115 | 160 | +39.1% |
| Kondro | — | — | — |
| Kordiha | 465 | 500 | +7.5% |
| Kudro | — | — | — |
| Kumhariya | 824 | — | unreliable |
| Kurumbabedo | 137 | 150 | +9.5% |
| Kustanr | 473 | 587 | +24.1% |
| Kusumpokhar | 143 | 180 | +25.9% |
| Lachmi | 72 | 77 | +6.9% |
| Ladonri | 79 | 85 | +7.6% |
| Lagram | 16 | 20 | +25.0% |
| Lakrakol | 79 | — | unreliable |
| Lilatanr | 176 | — | not measured |
| Lohanda | 116 | — | not measured |
| Lohanda Mago | 65 | — | not measured |
| Mahisol | 393 | 680 | +73.0% |
| Mahuatanr | 19 | 37 | +94.7% |
| Majhauna | 216 | 394 | +82.4% |
| Majhuwa | 594 | 800 | +34.7% |
| Makbargi Khuta | 192 | 240 | +25.0% |
| Makni Baramasia | 33 | 48 | +45.5% |
| Mangra | 585 | 705 | +20.5% |
| Mangru Tikar | 598 | 810 | +35.5% |
| Mangtanr | 280 | 300 | +7.1% |
| Marichak | 914 | 1,030 | +12.7% |
| Marwa | 231 | 280 | +21.2% |
| Matia | 781 | 850 | +8.8% |
| Matia Bedo | 139 | 140 | +0.7% |
| Matia Mago | 9 | 18 | +100.0% |
| Mir | 67 | — | not measured |
| Mira | 43 | 26 | -39.5% |
| Mochikuti | — | — | — |
| Motidih | 164 | 210 | +28.1% |
| Motipahari Bara | 2,644 | 1,600 | -39.5% |
| Murali | — | — | — |
| Murgabani | 400 | 500 | +25.0% |
| Murgabani | 398 | 498 | +25.1% |
| Narganj | 127 | 150 | +18.1% |
| Naugachi | 33 | — | not measured |
| Naugachipahar | 50 | — | not measured |
| Nawagachi | 55 | — | not measured |
| Nirapara | 419 | 774 | +84.7% |
| Nowadih | 54 | — | not measured |
| Pachare | 141 | 180 | +27.7% |
| Padia Bedo | — | — | — |
| Padia Mago | — | — | — |
| Paharpur | 293 | 305 | +4.1% |
| Paharpur | 127 | 147 | +15.8% |
| Pakariya | 68 | 100 | +47.1% |
| Pakri | — | — | — |
| Pandeni Bedo | 66 | 87 | +31.8% |
| Pandeni Mago | 156 | 215 | +37.8% |
| Pandriya | 360 | 565 | +56.9% |
| Pangdo | — | — | — |
| Paradoni | — | — | — |
| Paraia | 328 | 450 | +37.2% |
| Parte Bedo | 56 | — | not measured |
| Parte Mago | 49 | — | not measured |
| Partu Tola | 138 | 150 | +8.7% |
| Pataura | 112 | 117 | +4.5% |
| Pathara | 1,564 | — | unreliable |
| Patharghata | 620 | 920 | +48.4% |
| Patlohara | 888 | 950 | +7.0% |
| Pergoda | — | — | — |
| Pertoke(Piprabargi) | 19 | — | unreliable |
| Phulpahari | 82 | — | not measured |
| Pipjoriya | 137 | 125 | -8.8% |
| Poal | 1,076 | 1,560 | +45.0% |
| Podiaha | 10 | 15 | +50.0% |
| Pokhariapahar | 125 | — | not measured |
| Pokhariya | 235 | 300 | +27.7% |
| Pokhariya Santhali | 55 | — | not measured |
| Pokria | 96 | 125 | +30.2% |
| Porotola | 86 | 98 | +13.9% |
| Qonbarang (Sonatok) | — | — | — |
| Rajan | 845 | 1,145 | +35.5% |
| Rampur | 132 | 172 | +30.3% |
| Rampur Bansjori | 565 | 364 | -35.6% |
| Ranchaura | 826 | — | not measured |
| Ranga | 252 | 320 | +27.0% |
| Rangamatya | 636 | 835 | +31.3% |
| Rangmatia | 447 | 575 | +28.6% |
| Ranibathan | 288 | 300 | +4.2% |
| Ranidih | 521 | 775 | +48.8% |
| Roldih | 57 | — | not measured |
| Rupatok | 90 | 100 | +11.1% |
| Sabaiya | 427 | 517 | +21.1% |
| Saharbera | 37 | — | not measured |
| Saharjori | 289 | 342 | +18.3% |
| Saharpur | 657 | 590 | -10.2% |
| Sajani | 66 | 90 | +36.4% |
| Saraibindha | 200 | 305 | +52.5% |
| Sarsa | 88 | — | not measured |
| Satichauki Khothari | 1,486 | 2,000 | +34.6% |
| Satichauki Panro | 1,205 | 1,496 | +24.1% |
| Shampur | 350 | 400 | +14.3% |
| Sidhari | 12 | 16 | +33.3% |
| Sihli | 133 | — | not measured |
| Simaljori | 239 | 338 | +41.4% |
| Simaljori | 124 | — | not measured |
| Simra | 133 | 325 | +144.4% |
| Sitalpur | 332 | 575 | +73.2% |
| Solapur | 148 | 190 | +28.4% |
| T Andonra | 83 | 87 | +4.8% |
| Taljhari | 427 | 575 | +34.7% |
| Tarapur | 369 | 550 | +49.0% |
| Telabani Khaplo | 191 | 222 | +16.2% |
| Telo | 2,196 | 2,200 | +0.2% |
| Tetariya | 164 | — | not measured |
| Tetria | 136 | — | not measured |
| Tetuliya | 310 | 330 | +6.5% |
| Tilatanr | 260 | 309 | +18.9% |
| Tok Basko | 127 | 195 | +53.5% |
| Tok Belra | — | — | — |
| Turua | 381 | 400 | +5.0% |
| Ulughutu | 44 | 60 | +36.4% |
Blocks are the administrative tier between district and village. The block a village belongs to comes from the Local Government Directory via the 2020 survey, so it reflects boundaries as of 2020, not 2011.