Nohar block
Hanumangarh district, Rajasthan · 226 villages
Villages
226
3 created since 2011
Average change
+30.2%
across 182 measurable villages
Population 2011 → 2020
2,42,998 → 3,03,788
compared villages only
Villages in this block
| Village | 2011 | 2020 | Change |
|---|---|---|---|
| 1 B BARANI | 391 | 805 | +105.9% |
| 1 BKK | 79 | 86 | +8.9% |
| 1 JSN | 119 | 152 | +27.7% |
| 1 KM | 262 | 460 | +75.6% |
| 1 KNN | 13,117 | 14,602 | +11.3% |
| 1 NHR-A | 165 | 220 | +33.3% |
| 1 NHR-B | 51 | 70 | +37.3% |
| 1 RMG | 17 | — | unreliable |
| 1 RMS | 63 | 65 | +3.2% |
| 1 RPM | 4,183 | 5,074 | +21.3% |
| 1 TKM | 264 | 410 | +55.3% |
| 10 BARANI | — | — | — |
| 10 DPN | 367 | 418 | +13.9% |
| 10 GGM | 33 | 60 | +81.8% |
| 10 JSN | 2,772 | 3,009 | +8.6% |
| 10 KNN | 282 | 295 | +4.6% |
| 11 BARANI | 2,979 | — | not measured |
| 11 DPN | 890 | 910 | +2.3% |
| 11 GGM | 32 | 50 | +56.3% |
| 11 JSN | 63 | 80 | +27.0% |
| 11 KNN | 81 | 58 | -28.4% |
| 11 NTR-A | 55 | — | unreliable |
| 11 NTR-B | 3,039 | — | unreliable |
| 12 BARANI | 2 | — | unreliable |
| 12 DPN | 703 | 722 | +2.7% |
| 12 GGM | 214 | 260 | +21.5% |
| 12 JSN | 1,414 | 1,394 | -1.4% |
| 12 KNN | 155 | 289 | +86.5% |
| 12 NTR | 189 | 306 | +61.9% |
| 13 BARANI | — | — | — |
| 13 GGM | — | — | — |
| 13 JSN | 17 | — | unreliable |
| 13 KNN | 331 | — | unreliable |
| 13 NTR | 14 | 30 | +114.3% |
| 14 BARANI | 998 | 1,042 | +4.4% |
| 14 DPN | 222 | 306 | +37.8% |
| 14 JSN | 2,721 | 3,085 | +13.4% |
| 14 KNN | 39 | — | unreliable |
| 14 NTR | 98 | 209 | +113.3% |
| 14 RWD | 131 | 155 | +18.3% |
| 15 BARANI | 1,354 | 1,450 | +7.1% |
| 15 DPN | 312 | 431 | +38.1% |
| 15 JSN-A | 86 | 85 | -1.2% |
| 15 JSN-B | 94 | 82 | -12.8% |
| 15 NTR-A | 109 | 130 | +19.3% |
| 15 NTR-B | 9 | — | unreliable |
| 15 RWD | 169 | 235 | +39.0% |
| 16 DPN | 8,242 | 8,690 | +5.4% |
| 16 JSN | 527 | 570 | +8.2% |
| 16 KNN | 593 | 680 | +14.7% |
| 16 NTR | 438 | 570 | +30.1% |
| 16 RWD | 484 | 635 | +31.2% |
| 17 DPN | 236 | 347 | +47.0% |
| 17 KNN | 547 | 620 | +13.3% |
| 17 NTR | 775 | 1,570 | +102.6% |
| 17 RWD | 3,515 | 5,650 | +60.7% |
| 18 DPN | 78 | 188 | +141.0% |
| 18 JSN | 58 | 45 | -22.4% |
| 18 NTR | 74 | 45 | -39.2% |
| 18 RWD | 122 | 250 | +104.9% |
| 19 DPN | 101 | 124 | +22.8% |
| 19 JSN | 817 | 1,080 | +32.2% |
| 19 NTR | 7,058 | 7,600 | +7.7% |
| 19 RWD | 499 | 800 | +60.3% |
| 2 BKK | 22 | 24 | +9.1% |
| 2 GGM | 307 | 397 | +29.3% |
| 2 JSN | 317 | 364 | +14.8% |
| 2 KM | 136 | 260 | +91.2% |
| 2 KNN | 213 | 234 | +9.9% |
| 2 RMS | 29 | 66 | +127.6% |
| 2 RPM | 762 | 820 | +7.6% |
| 2 TKM | 141 | 300 | +112.8% |
| 20 DPN | 48 | — | unreliable |
| 20 JSN | 83 | — | unreliable |
| 20 NTR | 13 | — | unreliable |
| 20 RWD | 67 | 125 | +86.6% |
| 20 RWD-A | 229 | 360 | +57.2% |
| 20 RWD-B | 442 | — | unreliable |
| 21 JSN | 170 | — | unreliable |
| 22 DPN | 151 | 245 | +62.3% |
| 22 JSN | 39 | 56 | +43.6% |
| 22 NTR | 1,285 | 1,320 | +2.7% |
| 23 DPN | 4,860 | 7,339 | +51.0% |
| 23 NTR | 729 | 750 | +2.9% |
| 24 DPN | 41 | 54 | +31.7% |
| 24 JSN | 4 | — | unreliable |
| 24 NTR | 326 | 347 | +6.4% |
| 25 DPN | 64 | 90 | +40.6% |
| 25 JSN | 6,684 | 10,156 | +51.9% |
| 25 NTR | 381 | 425 | +11.6% |
| 26 DPN | 1,709 | 1,900 | +11.2% |
| 26 NTR | 2,606 | 2,646 | +1.5% |
| 27 NTR | 266 | 320 | +20.3% |
| 28 NTR | 165 | 170 | +3.0% |
| 3 BARANI | 3,211 | 4,048 | +26.1% |
| 3 BKK | 39 | 42 | +7.7% |
| 3 KM | 248 | 410 | +65.3% |
| 3 KNN | 187 | 225 | +20.3% |
| 3 RMG | — | — | — |
| 3 RMS | 155 | 360 | +132.3% |
| 30 NTR | 1,245 | 1,310 | +5.2% |
| 4 BARANI | 119 | 140 | +17.6% |
| 4 BKK | 263 | 289 | +9.9% |
| 4 JSN | 134 | — | unreliable |
| 4 KNN | 88 | 95 | +8.0% |
| 4 PPM | 100 | 109 | +9.0% |
| 4 RPM | 322 | 370 | +14.9% |
| 5 BARANI-A | — | — | — |
| 5 BARANI-B | 31 | — | unreliable |
| 5 GGM | 2,613 | 2,965 | +13.5% |
| 5 JSN | 192 | 163 | -15.1% |
| 5 KM | 170 | 260 | +52.9% |
| 5 KNN | 93 | 129 | +38.7% |
| 5 PPM | 7 | — | unreliable |
| 5 RMG | 99 | 130 | +31.3% |
| 5 RPM | 255 | 300 | +17.6% |
| 6 BARANI | 1,265 | 1,480 | +17.0% |
| 6 GGM | 294 | 338 | +15.0% |
| 6 JSN | 1,257 | 1,300 | +3.4% |
| 6 KNN | 66 | 74 | +12.1% |
| 6 PPM | 24 | 32 | +33.3% |
| 6 RMG | 49 | 70 | +42.9% |
| 6 RPM | 773 | 900 | +16.4% |
| 7 BARANI | 1,524 | 1,743 | +14.4% |
| 7 GGM | 226 | 237 | +4.9% |
| 7 JSN | 111 | 164 | +47.8% |
| 7 KNN | 2,033 | 2,755 | +35.5% |
| 7 PPM | 5 | — | unreliable |
| 7 RMG | 3 | — | unreliable |
| 7 RPM | 243 | 280 | +15.2% |
| 8 BARANI | 49 | 81 | +65.3% |
| 8 JSN | 36 | — | not measured |
| 8 KNN | 130 | 195 | +50.0% |
| 9 BARANI | 22 | 30 | +36.4% |
| 9 DPN | 124 | 159 | +28.2% |
| 9 GGM | 3,746 | 4,001 | +6.8% |
| 9 KNN | 481 | 546 | +13.5% |
| 9 RPM | 124 | 220 | +77.4% |
| APUWALA | 803 | 910 | +13.3% |
| ARARKI | 2,570 | 3,721 | +44.8% |
| ASARJANA | 1,644 | 1,865 | +13.4% |
| BACHHUSAR | 1,308 | 1,723 | +31.7% |
| BALASAR | 1,658 | 1,988 | +19.9% |
| BAR BEERANA | 4,630 | 4,766 | +2.9% |
| BAS NATHOWALAnew | — | — | — |
| BHAGWAN | 2,923 | 3,431 | +17.4% |
| BHAGWANSAR | 2,587 | 2,852 | +10.2% |
| BHANGOOLI | 1,061 | 1,404 | +32.3% |
| BHAWAL DESAR | 2,110 | 3,512 | +66.5% |
| BHOGRANA | 1,882 | 2,108 | +12.0% |
| BHOOKAR KA BARANI | 7,621 | 8,525 | +11.9% |
| BIRKALI | 5,115 | 5,646 | +10.4% |
| BRAHMANWASI | 602 | 720 | +19.6% |
| CHAINPURA | 1,481 | 1,900 | +28.3% |
| CHAK DEIDASPURA | 1,191 | 1,700 | +42.7% |
| CHAK MANDRANAnew | — | — | — |
| CHAK RAJASAR | 2,360 | — | not measured |
| CHAK SARDARPURA | — | — | — |
| DALPATPURA | 3,022 | 3,626 | +20.0% |
| DEEPLANA BARANI | — | — | — |
| DEIDAS | 2,848 | 3,462 | +21.6% |
| DEVASAR | 2,750 | 3,210 | +16.7% |
| DHANDHELA | 2,997 | 3,559 | +18.8% |
| DHANI BHAMBHUWAN | 786 | 1,130 | +43.8% |
| DHANI CHARNAN | 569 | 1,100 | +93.3% |
| DHANI LALKHAN | 2,598 | 3,167 | +21.9% |
| DHANI RAIKAN | 1,277 | 1,730 | +35.5% |
| DHANSIYA | 4,562 | 7,460 | +63.5% |
| DHEEL KI CHAYLAN | — | — | — |
| DHEEL KI JATAN | 152 | 185 | +21.7% |
| DUMASAR | 515 | 624 | +21.2% |
| DURJANA | 1,988 | 2,575 | +29.5% |
| GANGOI | 408 | 428 | +4.9% |
| GIRAJSAR | 1,600 | 1,680 | +5.0% |
| GORKHANA | 2,717 | 3,110 | +14.5% |
| JABRASAR | 3,680 | 4,372 | +18.8% |
| JOGIYASAN NO.1 | — | — | — |
| JOGIYASAN NO.2 | — | — | — |
| JOGIYASAN NO.3 | — | — | — |
| JOJASAR | 1,757 | 1,845 | +5.0% |
| JOKHASAR | 1,421 | 1,615 | +13.7% |
| JORAWARPURA | 661 | 765 | +15.7% |
| KANSAR | 3,190 | 6,910 | +116.6% |
| KARAMSANA | 962 | 1,192 | +23.9% |
| KAROTI | 320 | 398 | +24.4% |
| KHARSANDI | 1,656 | 2,178 | +31.5% |
| KHOPRAN | 1,276 | 1,880 | +47.3% |
| KHUIYAN | 3,363 | 4,064 | +20.8% |
| KIKRALI | 1,820 | 1,865 | +2.5% |
| KOLASAR | 552 | 630 | +14.1% |
| LAKHASAR | 2,367 | 2,813 | +18.8% |
| LALANAWAS DIKHNADA | 3,268 | 7,530 | +130.4% |
| LALANAWAS JETASARI | 706 | 900 | +27.5% |
| LALANAWAS NATHWANIYA | 1,734 | 2,066 | +19.1% |
| LALANAWAS SHEOPURA | 1,353 | 1,945 | +43.8% |
| LALANAWAS UTRADA | 2,918 | 3,840 | +31.6% |
| LALANIYA | 1,624 | 2,115 | +30.2% |
| MALIYA | 1,986 | 2,542 | +28.0% |
| MANDARPURA | 3,964 | 4,998 | +26.1% |
| MEGHANA | 3,246 | 3,465 | +6.8% |
| MEGHSINGHPURA | 494 | — | not measured |
| MINAKDESAR | 427 | 560 | +31.1% |
| MUNSARI | 1,902 | — | not measured |
| NAGRASARI | 1,553 | 2,034 | +31.0% |
| NAHRANA | 1,673 | 2,270 | +35.7% |
| NANAU | 3,412 | — | not measured |
| NIMLA | 2,109 | 2,408 | +14.2% |
| PANDUSAR | 2,284 | 2,398 | +5.0% |
| RAISINGHPURA | 1,608 | 1,820 | +13.2% |
| RANISAR | 835 | 860 | +3.0% |
| RATUSAR | 1,270 | 1,451 | +14.3% |
| REKH JINDRASAR | — | — | — |
| REKH MALIYA | — | — | — |
| SANGTHIYA | 960 | 1,294 | +34.8% |
| SHEORANI | 2,388 | 2,789 | +16.8% |
| SHIVPURA BAS(1RPM)new | — | — | — |
| SIRANGSAR | 3,130 | 3,782 | +20.8% |
| SONRI | 6,122 | — | not measured |
| SOORPURA | 1,329 | 1,654 | +24.4% |
| SOTI BARI | — | — | — |
| SURJANSAR | 1,787 | 2,310 | +29.3% |
| THALARKA BARANI | — | — | — |
| THIRANA | 2,720 | 3,207 | +17.9% |
| TIDIYASAR | 3,025 | 3,481 | +15.1% |
| TOPARIYA BARANI | 3,321 | 5,510 | +65.9% |
| UDASAR BARA | 950 | 998 | +5.0% |
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.