GaonData

Arajiline block

Varanasi district, Uttar Pradesh · 219 villages

Villages
219
1 created since 2011
Average change
+38.9%
across 160 measurable villages
Population 2011 → 2020
2,75,831 → 3,94,078
compared villages only

Villages in this block

Village2011 2020Change
Aapi 490 515 +5.1%
Arajiline 363 unreliable
Asawari 3,286 4,023 +22.4%
Ashad 945 1,209 +27.9%
Atarsuiya 188 205 +9.0%
Ayodhyapur 1,554 unreliable
Babhaniyav 1,914 4,230 +121.0%
Bachhed 391 650 +66.2%
Badheini Kala 1,923 2,301 +19.7%
Badheini Khurd 1,988 3,200 +61.0%
Badipur 1,375 3,200 +132.7%
Bahadurpur 1,823 unreliable
Bahedava 1,119 unreliable
Bahedawa 46 51 +10.9%
Bahoranpur 1,440 1,660 +15.3%
Bairwan 2,844 3,460 +21.7%
Bangalipur 899 1,300 +44.6%
Bansipur 1,216 2,257 +85.6%
Barikpur 211 403 +91.0%
Basant Patti 3,283 4,400 +34.0%
Basantpur 475 600 +26.3%
Belaudi 1,739 2,500 +43.8%
Benipur
Beruka 136 unreliable
Bhadarasi 1,486 unreliable
Bhadav 1,740 2,031 +16.7%
Bhadehara 266 297 +11.7%
Bhaedpur 390 460 +17.9%
Bhanjanpur 2,008 2,362 +17.6%
Bhatshar 6,059 7,600 +25.4%
Bhawaneepur 3,887 5,260 +35.3%
Bhedahan 1,089 2,444 +124.4%
Bhikhampur 2,011 2,344 +16.6%
Bhikharipur 2,257 3,000 +32.9%
Bhikhipur 1,093 1,150 +5.2%
Bhimchandi 1,294 3,100 +139.6%
Bhojubeer 983 unreliable
Bhuvalpur 2,221 2,614 +17.7%
Bibhauri 439 650 +48.1%
Birbalpur 874 992 +13.5%
Birsinghpur 766 992 +29.5%
Burapur 1,767 3,250 +83.9%
Chakadhiya 4 unreliable
Chakdarshan 82 84 +2.4%
Chakdiharam 127 145 +14.2%
Chakrapanpur 1,743 1,921 +10.2%
Chandapur 4,860 6,285 +29.3%
Chaukhandi 3,325 4,540 +36.5%
Chittapur 670 unreliable
Dagahariya 1,733 2,250 +29.8%
Darekhu 5,350 unreliable
Dasarath Chak
Dashrathpur 912 1,130 +23.9%
Dayapur 1,362 1,860 +36.6%
Deuara 2,023 2,600 +28.5%
Deura Chak 470 unreliable
Dhadhorpur 1,851 3,010 +62.6%
Dhanapur 1,581 2,522 +59.5%
Dhanpalpur 2,485 3,000 +20.7%
Dholapur 1,045 1,321 +26.4%
Dhoraee 85 100 +17.6%
Dindaspur
Dipapur 2,098 2,293 +9.3%
Gaharpur 479 unreliable
Ganeshpur 2,068 2,468 +19.3%
Gangpur 1,155 2,200 +90.5%
Ganjari 229 unreliable
Gaur 9,077 16,347 +80.1%
Gaura
Gazapur 724 unreliable
Ghamahanpur 84 125 +48.8%
Ghamahapurnew
Ghamhapur 143 unreliable
Gobindpur 966 unreliable
Gopipur 250 unreliable
Govindpoor 1,240 1,500 +21.0%
Govindpur 162 178 +9.9%
Gowindpur 39 unreliable
Gurudaspur 914 unreliable
Harasos 9,390 13,621 +45.1%
Hardattpur 3,580 4,832 +35.0%
Haridaspur 269 315 +17.1%
Harinampur 457 890 +94.8%
Harirampur 3,009 unreliable
Harpur 2,882 4,510 +56.5%
Jaddupur 741 unreliable
Jagardevpur 1,361 1,620 +19.0%
Jagatpur 2,342 5,146 +119.7%
Jakkhini 3,754 4,419 +17.7%
Jalal Pur 280 unreliable
Jameen Shivsagar 70 unreliable
Jamin Bairvan 596 1,097 +84.1%
Jamin Kaneri 613 not measured
Jamunipur 601 unreliable
Jansa 4,337 5,006 +15.4%
Jayapur 2,974 4,000 +34.5%
Jeetapur 803 1,290 +60.6%
Jhabra 779 920 +18.1%
Kachanar
Kachhariya 1,812 2,085 +15.1%
Kallipur
Kalyanpur 237 275 +16.0%
Kamalpur 465 525 +12.9%
Kanakpur 1,149 1,265 +10.1%
Kaneri 1,994 not measured
Kanhaipur 40 not measured
Kanthipur 1,182 1,560 +32.0%
Kapar Phorwa 4,660 8,465 +81.7%
Karmashipur 523 unreliable
Karnadandi 3,444 5,500 +59.7%
Kashipoor 1,514 1,800 +18.9%
Kashipur 1,254 2,290 +82.6%
Kataiya 585 840 +43.6%
Kazichak 422 800 +89.6%
Khadaura 359 446 +24.2%
Khajuri-2 558 unreliable
Kharagrajpur 621 930 +49.8%
Khemaipur 921 1,090 +18.4%
Khewali 3,352 5,110 +52.5%
Khewasipur 1,295 1,560 +20.5%
Khochwa 2,413 2,999 +24.3%
Koraut 881 unreliable
Korri 959 unreliable
Kosada 586 649 +10.8%
Kotila 504 unreliable
Krishnadattpur 1,015 unreliable
Kundriya 2,713 4,580 +68.8%
Kurauna
Kurauti 1,248 2,200 +76.3%
Kursato 1,405 1,886 +34.2%
Lachhi Rampur
Lachhimanpur 692 unreliable
Lakshapur 2,051 3,012 +46.9%
Lallapur 741 960 +29.6%
Laskariya 466 600 +28.8%
Laximanpur 1,251 1,680 +34.3%
Laxirampur 648 664 +2.5%
Loharapur 1,571 1,590 +1.2%
Madhopoor 2,265 unreliable
Madhukar Shahpur 806 966 +19.9%
Madhukarshahpur 4,069 4,370 +7.4%
Mahavan 883 1,360 +54.0%
Mahgaon 5,113 6,850 +34.0%
Mahmadpur 1,032 unreliable
Manikpur 151 210 +39.1%
Maniyaripoor 1,541 2,548 +65.3%
Marui 5,413 6,500 +20.1%
Mataldei 766 1,500 +95.8%
Meeravan 136 256 +88.2%
Mehadiganj 8,134 18,255 +124.4%
Michekanpur 3,068 unreliable
Milki Chack 2,843 4,500 +58.3%
Milkipoor 1,948 1,305 -33.0%
Milkpachai 304 370 +21.7%
Mohan Sarai 2,837 4,885 +72.2%
Mongalabeer 1,793 3,789 +111.3%
Mubarakpur 1,614 1,650 +2.2%
Mungawar 1,229 2,000 +62.7%
Musepur 80 unreliable
Nagaipur 474 535 +12.9%
Nagepur 2,796 4,491 +60.6%
Naipura 180 unreliable
Naraicha 610 945 +54.9%
Narottmpur 933 1,617 +73.3%
Narsara 2,840 4,350 +53.2%
Navvechak 40 52 +30.0%
Nideura 502 633 +26.1%
Niyasipur 555 unreliable
Pachai-1 1,733 2,200 +26.9%
Pachai-2 521 670 +28.6%
Paidegaon 450 538 +19.6%
Paniyara 1,921 3,250 +69.2%
Parampur 1,800 2,808 +56.0%
Parjanpur 2,644 4,014 +51.8%
Parmanandapur 1,180 unreliable
Parsupur 1,408 1,800 +27.8%
Pausee 1,268 1,000 -21.1%
Pilauri 2,652 4,025 +51.8%
Pratap Patti 31 not measured
Pratappur 3,662 5,200 +42.0%
Prithvipur 278 350 +25.9%
Raj pur 2,502 2,882 +15.2%
Rajapur 797 1,000 +25.5%
Rajjipur 413 375 -9.2%
Rakhauna 3,765 5,994 +59.2%
Rakhee
Ramaipur 895 1,075 +20.1%
Rampur 1,406 1,000 -28.9%
Ramraipur 1,128 2,580 +128.7%
Ramsinghpur 774 unreliable
Ranibazar 1,811 2,241 +23.7%
Rupapur 2,115 3,250 +53.7%
Sahawabad 1,631 1,982 +21.5%
Sajoi 7,059 9,000 +27.5%
Saraiya 1,898 unreliable
Sarauni 2,169 2,391 +10.2%
Sarvanpur 2,206 2,626 +19.0%
Serwanpur 2,223 2,620 +17.9%
Shahabazpur 821 1,000 +21.8%
Shahanshahpur 6,674 unreliable
Shaktiyarpur 170 189 +11.2%
Shivrampur 995 1,220 +22.6%
Sihorva 3,168 4,694 +48.2%
Sihorwa 1,473 3,417 +132.0%
Singahi 1,554 2,285 +47.0%
Sirasa 1,064 1,200 +12.8%
Suichak 1,938 2,300 +18.7%
Tadiya 643 500 -22.2%
Tarsawn 612 692 +13.1%
Tatahavapur 1,555 1,744 +12.2%
Tilanga 78 104 +33.3%
Tinkedawa 480 559 +16.5%
Todarpur 1,125 unreliable
Tohafapur 2,032 unreliable
Tulachak 494 565 +14.4%
Upadhyaypur 145 321 +121.4%
Veerbhanpur
Veersinghpur 879 unreliable
Vitthalpur 608 864 +42.1%

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.