Bharawan block
Hardoi district, Uttar Pradesh · 97 villages
Villages
97
Average change
+50.6%
across 93 measurable villages
Population 2011 → 2020
1,87,180 → 2,75,006
compared villages only
Villages in this block
| Village | 2011 | 2020 | Change |
|---|---|---|---|
| Alampur | 1,281 | 2,240 | +74.9% |
| Andhpur | 166 | — | unreliable |
| Atrauly | 8,116 | 9,824 | +21.0% |
| Atwa Urf Madho Nagar | 573 | 964 | +68.2% |
| Auna | 1,000 | 1,258 | +25.8% |
| Aura Patty | 385 | 650 | +68.8% |
| Baheriya | 6,428 | 7,625 | +18.6% |
| Bahuty | 8,770 | 11,210 | +27.8% |
| Bakwa | 1,798 | 2,283 | +27.0% |
| Baky Nagar | 252 | 297 | +17.9% |
| Bamhnau Aalm Shah | 1,924 | 2,700 | +40.3% |
| Bamhnaua Peng | 1,025 | 1,186 | +15.7% |
| Banjara | 945 | 1,235 | +30.7% |
| Bany | 1,771 | 2,062 | +16.4% |
| Bastapur | 802 | 1,308 | +63.1% |
| Bengalpur | 1,170 | 1,452 | +24.1% |
| Bhabhuwa | 688 | 1,080 | +57.0% |
| Bharawan | 10,443 | 14,716 | +40.9% |
| Bhatpur | 7,167 | 11,895 | +66.0% |
| Bilriya | 1,031 | 1,410 | +36.8% |
| Bindraban | 2,094 | 3,468 | +65.6% |
| Chatiha | 1,372 | 1,660 | +21.0% |
| Chawan | 4,064 | 6,157 | +51.5% |
| Danda | 1,446 | 1,810 | +25.2% |
| Deokally | 644 | 949 | +47.4% |
| Dera Kakemau | 2,834 | 4,048 | +42.8% |
| Dhikuhny | 2,899 | 3,350 | +15.6% |
| Dilawar Nagar | 836 | 1,331 | +59.2% |
| Dula Nagar | 1,307 | 1,580 | +20.9% |
| Etaunja | 1,820 | 2,052 | +12.8% |
| Gaundwa Patti Alampur | 264 | 650 | +146.2% |
| Gauny | 2,901 | 3,567 | +23.0% |
| Gherwa | 967 | 1,270 | +31.3% |
| Gondwa | 3,515 | 5,469 | +55.6% |
| Gondwa Patti Atrauly | 655 | 830 | +26.7% |
| Gonndwa Khem | 1,364 | 1,773 | +30.0% |
| Hadha | 1,247 | 2,750 | +120.5% |
| Hajipur | 1,118 | 2,180 | +95.0% |
| Hayatganj | 2,141 | 2,500 | +16.8% |
| Hirupur Goteya | 1,130 | 2,046 | +81.1% |
| Jagasara | 1,197 | 1,718 | +43.5% |
| Jajupur | 4,285 | 5,990 | +39.8% |
| Jakhwa | 698 | 1,280 | +83.4% |
| Jallalpur | 1,294 | 1,896 | +46.5% |
| Jamunipur | 683 | 985 | +44.2% |
| Jhanjholy | 728 | 1,480 | +103.3% |
| Kanaura Ant | 2,345 | 3,320 | +41.6% |
| Katiyar | 684 | 830 | +21.4% |
| Katka | 1,272 | 1,900 | +49.4% |
| Katky | 205 | 319 | +55.6% |
| Kaudiya | 4,440 | 6,955 | +56.6% |
| Khasraul | 3,338 | 5,836 | +74.8% |
| Kirla | 1,819 | 2,590 | +42.4% |
| Kourondh | 3,586 | 6,055 | +68.8% |
| Koyaly | 2,153 | 4,413 | +105.0% |
| Kukura | 3,035 | 4,115 | +35.6% |
| Kuwan Bojh | 694 | 822 | +18.4% |
| Lalamau | 1,577 | 2,390 | +51.5% |
| Lalpur | 669 | 877 | +31.1% |
| Laudhora | 881 | 1,275 | +44.7% |
| Lauly | 964 | 1,350 | +40.0% |
| Madna Khera | 492 | 591 | +20.1% |
| Mahamadwur Belwaran | 2,386 | 4,130 | +73.1% |
| Mahitha | 2,471 | 3,873 | +56.7% |
| Mahsuwa | 611 | — | unreliable |
| Mahuwa Danda | 1,935 | 2,752 | +42.2% |
| Manghgaon | 4,353 | 6,209 | +42.6% |
| Manghgawn | 11,562 | — | unreliable |
| Mawaiya | 501 | 1,200 | +139.5% |
| Mohiuddin Pur | 451 | 546 | +21.1% |
| Narohiya | 1,200 | 1,470 | +22.5% |
| Neoa Khera | 371 | 920 | +148.0% |
| Newada Bijay | 2,181 | 3,381 | +55.0% |
| Paharpur | 1,260 | 1,498 | +18.9% |
| Parsa | 3,339 | 3,900 | +16.8% |
| Pawaya | 2,658 | 5,910 | +122.3% |
| Pipargaon | 6,287 | 11,650 | +85.3% |
| Pipri Narayanpur | 1,264 | — | unreliable |
| Purwa Atwa | 936 | 1,188 | +26.9% |
| Ram Madarpur | 2,067 | 2,550 | +23.4% |
| Rampur | 1,234 | 1,848 | +49.8% |
| Rani Khera | 361 | 456 | +26.3% |
| Rekwar Khera | 541 | 775 | +43.3% |
| Rudauly | 628 | 980 | +56.0% |
| Sagar Garhi | 1,018 | 1,480 | +45.4% |
| Sahigawan | 2,601 | 3,390 | +30.3% |
| Sanda Dakhlor | 3,202 | 5,940 | +85.5% |
| Seayapur | 2,675 | 3,050 | +14.0% |
| Shiupuri | 1,189 | 1,270 | +6.8% |
| Shyam Das Pur | 2,143 | 3,755 | +75.2% |
| Sikandarpur | 4,622 | 7,893 | +70.8% |
| Sonikpur | 4,016 | 4,953 | +23.3% |
| Suagada | 746 | 1,600 | +114.5% |
| Terwa | 931 | 1,632 | +75.3% |
| Tidwary | 492 | 1,230 | +150.0% |
| Tikara Khurd | 504 | 580 | +15.1% |
| Usrha | 655 | 1,175 | +79.4% |
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.