Burwan block
Murshidabad district, West Bengal · 157 villages
Villages
157
Average change
+14.2%
across 152 measurable villages
Population 2011 → 2020
2,52,745 → 2,82,766
compared villages only
Villages in this block
| Village | 2011 | 2020 | Change |
|---|---|---|---|
| Achhoan | 2,219 | 2,140 | -3.6% |
| Akundi | 676 | 745 | +10.2% |
| Amrita Muni | 347 | 474 | +36.6% |
| Andi | 2,172 | 2,423 | +11.6% |
| Andulia | 468 | 537 | +14.7% |
| Babarpur | 3,331 | 3,812 | +14.4% |
| Badda | 1,127 | 1,157 | +2.7% |
| Badua | 7,051 | 7,879 | +11.7% |
| Bahara | 1,094 | 1,243 | +13.6% |
| Baidyanathpur | 3,408 | 3,972 | +16.6% |
| Ballabhpur | 495 | 560 | +13.1% |
| Bansbere | 134 | — | unreliable |
| Barutia | 1,022 | 1,463 | +43.1% |
| Barwan | 8,974 | 9,975 | +11.2% |
| Baugram | 2,304 | 2,524 | +9.6% |
| Beharkhanda Nabagram | 579 | 631 | +9.0% |
| Belgaon | 1,174 | — | unreliable |
| Belgram | 3,413 | — | not measured |
| Bhabani Nagar | 2,202 | 2,235 | +1.5% |
| Bhagulia | 748 | 827 | +10.6% |
| Bharwan | 2,015 | 2,221 | +10.2% |
| Bhastor | 1,631 | 1,890 | +15.9% |
| Bichhur | 975 | 997 | +2.3% |
| Bichkandi | 1,771 | 2,013 | +13.7% |
| Biprasekhar | 1,247 | 1,465 | +17.5% |
| Bolpara | 749 | 900 | +20.2% |
| Chaitpur | 2,742 | 3,116 | +13.6% |
| Chak Palasi | 63 | 75 | +19.1% |
| Chawki | 611 | 680 | +11.3% |
| Daspara | 268 | 298 | +11.2% |
| Debagram | 1,384 | 1,426 | +3.0% |
| Dewar | 362 | 412 | +13.8% |
| Dhanghara | 712 | 825 | +15.9% |
| Durajjay Palsa | 309 | 455 | +47.3% |
| Ekamba | 2,531 | 2,822 | +11.5% |
| Ekgharia | 1,900 | 1,574 | -17.2% |
| Ekpaharia | 1,572 | 1,621 | +3.1% |
| Faridpur | 1,234 | 1,390 | +12.6% |
| Fatepur | 2,082 | 2,320 | +11.4% |
| Ful Sikhar | 1,340 | 1,356 | +1.2% |
| Gafulia | 782 | 890 | +13.8% |
| Ghasiara | 927 | 1,010 | +8.9% |
| Ghosh Palsa | 407 | 546 | +34.1% |
| Golahat | 1,073 | 1,194 | +11.3% |
| Gopal Nagar | 410 | 670 | +63.4% |
| Gopipur | 2,419 | 2,700 | +11.6% |
| Gouri Nagar | 1,026 | 1,170 | +14.0% |
| Gram Salkia | 3,087 | 3,150 | +2.0% |
| Haldi | 1,001 | 1,154 | +15.3% |
| Hapina | 373 | 470 | +26.0% |
| Haribati | 2,235 | 2,495 | +11.6% |
| Hastinapur | 1,857 | 2,089 | +12.5% |
| Hatisala | 1,592 | 1,782 | +11.9% |
| Jagannathpur | 514 | 585 | +13.8% |
| Janardanpur | 2,220 | 2,217 | -0.1% |
| Jaohari | 1,530 | 1,661 | +8.6% |
| Jhikarhati | 8,163 | 8,358 | +2.4% |
| Jhilera | 671 | 757 | +12.8% |
| Jugaswara | 1,175 | 1,315 | +11.9% |
| Kakra | 484 | 534 | +10.3% |
| Kalidaspur | 293 | 354 | +20.8% |
| Kalikapur | 306 | 340 | +11.1% |
| Kalla | 2,270 | 2,524 | +11.2% |
| Kalyanpur | 1,960 | 2,178 | +11.1% |
| Kamar Muni | 850 | 943 | +10.9% |
| Kantur | 901 | 1,807 | +100.5% |
| Kapas Danga | 1,447 | 1,631 | +12.7% |
| Kapsa | 1,651 | 1,840 | +11.4% |
| Kapsakismat | 1,741 | 1,752 | +0.6% |
| Karbelia | 753 | 969 | +28.7% |
| Katna | 2,052 | 2,286 | +11.4% |
| Kayali Para | 844 | 915 | +8.4% |
| Kharjjuna | 3,657 | 4,079 | +11.5% |
| Kogram | 1,359 | 1,544 | +13.6% |
| Komadda | 1,060 | 1,196 | +12.8% |
| Konch Bandha | 514 | 604 | +17.5% |
| Kuli | 3,920 | 4,367 | +11.4% |
| Kumrai | 3,749 | 4,176 | +11.4% |
| Kundal | 4,584 | 4,692 | +2.4% |
| Kunia | 3,743 | 4,155 | +11.0% |
| Kunnarun | 1,709 | 2,012 | +17.7% |
| Kurcha | 2,051 | 2,259 | +10.1% |
| Kurulia | 3,915 | 4,566 | +16.6% |
| Lakshmi Narayanpur | 259 | 257 | -0.8% |
| Mahishgram | 3,541 | 4,082 | +15.3% |
| Mahula | 446 | 462 | +3.6% |
| Mahurakandi | 1,378 | 1,540 | +11.8% |
| Majiara | 1,693 | 1,870 | +10.4% |
| Majlishpur | 4,779 | 5,064 | +6.0% |
| Maliandi | 1,974 | 2,389 | +21.0% |
| Mallikpur | 478 | 490 | +2.5% |
| Mamudpur | 409 | 471 | +15.2% |
| Mandra | 1,530 | 1,720 | +12.4% |
| Mansara | 1,004 | 1,150 | +14.5% |
| Margram | 440 | 520 | +18.2% |
| Mirazapur | 611 | 705 | +15.4% |
| Misra Talwan | 853 | 862 | +1.1% |
| Modda | 1,607 | 1,787 | +11.2% |
| Monai Kandra | 3,654 | 4,277 | +17.1% |
| Mudda | 886 | 1,236 | +39.5% |
| Muniadihi | 3,606 | 3,840 | +6.5% |
| Nabadurga | 1,406 | 1,563 | +11.2% |
| Nabagram | 1,587 | 1,811 | +14.1% |
| Nandi Baneswar | 1,210 | 1,445 | +19.4% |
| Nima Bahadurpur | 3,669 | 4,080 | +11.2% |
| Ojhara | — | — | — |
| Pachhipara | 1,566 | 1,625 | +3.8% |
| Padmalabhbati | 188 | 194 | +3.2% |
| Paikpara | 438 | 494 | +12.8% |
| Panch Thupi | 7,956 | 9,020 | +13.4% |
| Panpara | 361 | 410 | +13.6% |
| Panpardaha | — | — | — |
| Panuti | 890 | 998 | +12.1% |
| Parsalika | 686 | 765 | +11.5% |
| Pashupatibati | 1,277 | 1,398 | +9.5% |
| Petari | 1,111 | 1,232 | +10.9% |
| Phupra | 872 | 1,107 | +26.9% |
| Pulia | 2,261 | 2,650 | +17.2% |
| Rabisurjyabati | 423 | 485 | +14.7% |
| Rahigram | 740 | 824 | +11.3% |
| Rajhat Siuli | 1,583 | 1,785 | +12.8% |
| Rajyadharpur | 494 | 600 | +21.5% |
| Rameswarpur | 630 | 720 | +14.3% |
| Ramrampur | 1,238 | 1,378 | +11.3% |
| Raniara Masadda | 1,025 | 1,300 | +26.8% |
| Ranipur | 1,029 | 1,154 | +12.2% |
| Rayhat | 1,368 | 1,505 | +10.0% |
| Rojkhara | 575 | 608 | +5.7% |
| Ruhina | 2,522 | 3,767 | +49.4% |
| Ruithanpur | 857 | 620 | -27.6% |
| Sabaldaha | 1,324 | 1,447 | +9.3% |
| Sabalpur | 1,817 | 2,066 | +13.7% |
| Sadpur | 807 | 898 | +11.3% |
| Saheb Nagar | 308 | 360 | +16.9% |
| Sahora | 2,231 | 2,460 | +10.3% |
| Sainjuli | 441 | 495 | +12.2% |
| Salpa | 672 | 902 | +34.2% |
| Samatari | 520 | 721 | +38.6% |
| Satitara | 4,325 | 4,691 | +8.5% |
| Senai | 600 | 675 | +12.5% |
| Shibrambati | 3,616 | 4,035 | +11.6% |
| Shrihatta | 2,547 | 2,978 | +16.9% |
| Siddheswari | 1,515 | 1,671 | +10.3% |
| Simulia | 2,930 | 3,264 | +11.4% |
| Singadda | 684 | 762 | +11.4% |
| Sitalgram | 1,310 | 1,340 | +2.3% |
| Sona Bharai | 3,518 | 3,912 | +11.2% |
| Srihatti | 3,621 | 4,019 | +11.0% |
| Srinarayanpur | 279 | 375 | +34.4% |
| Srirampur | 961 | 1,105 | +15.0% |
| Sukuria | 870 | 963 | +10.7% |
| Sundarpur | 6,093 | 6,614 | +8.6% |
| Surjya Bati | 942 | 985 | +4.6% |
| Talbona | 300 | 415 | +38.3% |
| Tarapur | 524 | 641 | +22.3% |
| Tita | 1,259 | 1,405 | +11.6% |
| Togra | 631 | 918 | +45.5% |
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.