GaonData

Pilibanga block

Hanumangarh district, Rajasthan · 352 villages

Villages
352
Average change
+20.6%
across 265 measurable villages
Population 2011 → 2020
1,80,309 → 2,16,135
compared villages only

Villages in this block

Village2011 2020Change
1 BLW 238 — not measured
1 BRP 1,332 1,560 +17.1%
1 DBL-A 15,149 21,000 +38.6%
1 DBL-B 311 420 +35.0%
1 HDP 123 135 +9.8%
1 JW 128 202 +57.8%
1 LAKH-RD 134 — not measured
1 LBM 284 301 +6.0%
1 LGW 1,090 — not measured
1 LKS 105 120 +14.3%
1 NM 47 — unreliable
1 NR 2,358 3,422 +45.1%
1 NSW 21 — unreliable
1 PBN 52 — unreliable
1 PBN 8 — unreliable
1 PBN-T 600 — unreliable
1 PWM 16 24 +50.0%
1 RPM 109 126 +15.6%
1 SGR-A 16 21 +31.3%
1 SGR-B 13 23 +76.9%
1 T 450 510 +13.3%
1 TKW-A 906 1,145 +26.4%
1 TKW-B 81 — unreliable
10 BLW 122 230 +88.5%
10 JDW 33 — not measured
10 LGW 153 169 +10.5%
10 LKS 32 20 -37.5%
10 MOD 708 715 +1.0%
10 NSW 895 — unreliable
10 PBN-A 643 708 +10.1%
10 PBN-B 528 580 +9.8%
10 STB 86 105 +22.1%
10 STG 163 — not measured
10 ZWD 22 28 +27.3%
11 JRK 1,507 1,530 +1.5%
11 LGW 90 98 +8.9%
11 LKS-A 2,202 2,600 +18.1%
11 LKS-B — — —
11 MOD 16 22 +37.5%
11 MWM 484 530 +9.5%
11 PBN — — —
11 STB 1,336 1,599 +19.7%
11 STG 216 — not measured
11 ZWD 114 138 +21.1%
12 JDW 1,703 — not measured
12 JRK 566 580 +2.5%
12 LGW 74 81 +9.5%
12 MOD 18 20 +11.1%
12 MWM 143 166 +16.1%
12 PBN 181 199 +9.9%
12 SPD 3,361 4,024 +19.7%
12 STB 720 960 +33.3%
12 STB-A 601 721 +20.0%
12 STB-A (RCP) 66 — unreliable
12 ZWD 13 15 +15.4%
128 RD 17 — not measured
13 JRK 89 — not measured
13 LGW 650 715 +10.0%
13 MOD-A 44 52 +18.2%
13 MOD-B 636 655 +3.0%
13 MWM 15 20 +33.3%
13 PBN — — —
13 SPD-A 56 83 +48.2%
13 SPD-B 884 1,010 +14.3%
13 STB 1,137 1,380 +21.4%
13 STG 18 — not measured
13 ZWD 13 22 +69.2%
139 RD 762 941 +23.5%
14 JRK-A 57 — not measured
14 JRK-B 4,319 — not measured
14 LGW-A 40 50 +25.0%
14 LGW-B 34 36 +5.9%
14 MOD 67 70 +4.5%
14 PBN 391 431 +10.2%
14 STB 328 460 +40.2%
14 STG 183 — not measured
14 ZWD 44 62 +40.9%
15 JRK 42 — not measured
15 LGW-A 155 192 +23.9%
15 LGW-B 136 — unreliable
15 LGW-C 5,505 — not measured
15 MOD-A 161 170 +5.6%
15 MOD-B 92 95 +3.3%
15 PBN — — —
15 SPD 31 51 +64.5%
15 STG-A 36 — not measured
15 STG-B 6 10 +66.7%
15 ZWD 394 450 +14.2%
16 JRK 162 — not measured
16 LGW 1,329 1,436 +8.1%
16 MOD 169 175 +3.5%
16 PBN 611 673 +10.2%
16 SPD — — —
16 SPD-A 55 72 +30.9%
16 STG 169 — not measured
16 ZWD — — —
17 JRK 253 268 +5.9%
17 LGW 273 292 +7.0%
17 MOD 59 50 -15.3%
17 PBN 3,185 — not measured
17 SPD 164 192 +17.1%
17 STG 2,724 3,268 +20.0%
17 ZWD 11 18 +63.6%
18 JRK 3,789 3,811 +0.6%
18 MOD 153 150 -2.0%
18 PBN-A 292 352 +20.6%
18 PBN-B 104 115 +10.6%
18 SPD-A 1,917 2,460 +28.3%
18 SPD-B 272 370 +36.0%
18 STG 987 1,184 +20.0%
18 ZWD — — —
19 MOD 1,133 1,285 +13.4%
19 PBN-A 2,323 2,770 +19.2%
19 PBN-B 2,155 2,400 +11.4%
19 SPD 399 450 +12.8%
19 STG 31 45 +45.2%
2 BLW-A 22 — unreliable
2 BLW-B 812 900 +10.8%
2 BRP 181 210 +16.0%
2 BRP(RCP) 160 180 +12.5%
2 CS 149 178 +19.5%
2 DBL 624 690 +10.6%
2 HDP 674 910 +35.0%
2 JW 389 445 +14.4%
2 LBM 384 442 +15.1%
2 LGW 241 244 +1.2%
2 LKS 2,744 3,096 +12.8%
2 MOD-A 60 — not measured
2 MOD-B 131 — not measured
2 NM 1,585 1,596 +0.7%
2 NR 49 — unreliable
2 NSW 58 77 +32.8%
2 PBN 772 926 +19.9%
2 PBN 42 52 +23.8%
2 PWM 63 72 +14.3%
2 RPM — — —
2 SGR 1,223 1,493 +22.1%
2 STB 257 280 +8.9%
2 T 62 96 +54.8%
20 JRK 95 100 +5.3%
20 MOD 107 — unreliable
20 PBN 67 89 +32.8%
20 SPD 274 354 +29.2%
20 STG 1,205 1,449 +20.3%
21 JRK 38 42 +10.5%
21 MOD 538 500 -7.1%
21 PBN 918 1,189 +29.5%
22 JRK 5,207 5,229 +0.4%
22 MOD 74 69 -6.8%
22 PBN 67 106 +58.2%
22 STG 1,035 1,045 +1.0%
23 JRK-A 52 42 -19.2%
23 JRK-B 1,032 1,054 +2.1%
23 MOD-I 362 407 +12.4%
23 MOD-II 744 839 +12.8%
23 PBN 3,205 4,507 +40.6%
23 STG 257 280 +8.9%
24 JRK 9,753 12,750 +30.7%
24 MOD 193 160 -17.1%
24 PBN 1,753 2,260 +28.9%
24 STG 192 210 +9.4%
25 JRK 73 80 +9.6%
25 MOD 289 — not measured
25 PBN 295 332 +12.5%
25 STG 307 — unreliable
26 JRK 2,230 3,500 +57.0%
26 PBN 59 85 +44.1%
26 STG 883 1,032 +16.9%
27 JRK 51 65 +27.4%
27 PBN 2,230 2,508 +12.5%
27 STG — — —
28 JRK 11 16 +45.5%
28 STG-A — — —
28 STG-B 14 23 +64.3%
29 JRK 596 616 +3.4%
29 MOD-A 9 — unreliable
29 MOD-B 502 510 +1.6%
29 PBN 4,033 5,015 +24.4%
29 STG — — —
3 BHM-A 239 259 +8.4%
3 BHM-B 143 180 +25.9%
3 BLW 162 190 +17.3%
3 BRP 17 27 +58.8%
3 DBL 44 82 +86.4%
3 HDP 862 1,811 +110.1%
3 JW 269 280 +4.1%
3 LBM 66 84 +27.3%
3 LGW 4,114 4,210 +2.3%
3 LKS 126 192 +52.4%
3 MOD 629 — not measured
3 NR 288 195 -32.3%
3 NSW 12 — unreliable
3 PBN 241 261 +8.3%
3 PBN 7 13 +85.7%
3 PWM 2,284 3,945 +72.7%
3 SGR 32 38 +18.8%
3 STB 85 110 +29.4%
3 T 1,757 2,010 +14.4%
3 TKW 996 990 -0.6%
30 JRK 71 75 +5.6%
30 STG — — —
31 JRK 4 — unreliable
31 MOD 2,522 2,924 +15.9%
31 STG 155 — not measured
32 STG 1,010 — not measured
33 LLW 616 640 +3.9%
33 MOD 244 300 +22.9%
33 NDR 189 240 +27.0%
33 STG 1,468 — not measured
34 LLW 667 611 -8.4%
34 MOD 20 40 +100.0%
34 NDR 48 60 +25.0%
34 STG 370 396 +7.0%
35 LLW 243 198 -18.5%
35 MOD 502 600 +19.5%
35 STG 1,114 1,211 +8.7%
36 LLW 146 — unreliable
36 MOD 1,331 1,600 +20.2%
36 NDR 74 46 -37.8%
36 STG-A 19 24 +26.3%
36 STG-B 4,001 4,952 +23.8%
37 LLW-A 471 808 +71.5%
37 LLW-B 352 360 +2.3%
37 MOD 105 150 +42.9%
37 NDR 223 249 +11.7%
38 LLW-A 731 798 +9.2%
38 LLW-B 626 602 -3.8%
38 MOD 110 150 +36.4%
38 NDR-A 4 — unreliable
38 NDRTP 2,243 — unreliable
38 STG 18 15 -16.7%
39 LLW 962 1,002 +4.2%
39 NDR 139 — unreliable
4 BHM 235 258 +9.8%
4 BLW 23 — unreliable
4 BRP 114 225 +97.4%
4 HDP 1,647 1,965 +19.3%
4 JW 28 36 +28.6%
4 LBM — — —
4 LGW-A 35 38 +8.6%
4 LGW-B 61 63 +3.3%
4 LKS-A 893 1,091 +22.2%
4 LKS-B 288 350 +21.5%
4 MOD 1,001 1,045 +4.4%
4 NR 1,728 2,500 +44.7%
4 NSW-A 94 123 +30.9%
4 NSW-B 74 85 +14.9%
4 PBN 177 194 +9.6%
4 PBN 730 766 +4.9%
4 SGR 45 51 +13.3%
4 STB 371 418 +12.7%
4 TKW 76 — unreliable
4 UMW 1,697 1,546 -8.9%
40 LLW-A 40 42 +5.0%
40 LLW-B 71 75 +5.6%
40 NDR 1,073 1,390 +29.5%
41 LLW 945 — not measured
41 NDR 431 468 +8.6%
42 NDR 89 — not measured
42 NDR-A 379 316 -16.6%
43 LLW 105 — not measured
43 NDR 67 86 +28.4%
43 NDR-A 77 98 +27.3%
44 NDR 961 1,165 +21.2%
45 NDR 1,109 1,306 +17.8%
46 NDR 206 234 +13.6%
46 SSW 3,588 4,200 +17.1%
47 LLW 989 1,100 +11.2%
47 NDR 40 54 +35.0%
47 SSW 13 21 +61.5%
49 LLW 6 — unreliable
5 BHM 2 — unreliable
5 BLW 85 100 +17.6%
5 BRP 78 120 +53.9%
5 HDP-A 86 97 +12.8%
5 HDP-B 5 — unreliable
5 HLM 540 565 +4.6%
5 LGW 25 27 +8.0%
5 LKS-A 101 115 +13.9%
5 LKS-B 77 100 +29.9%
5 MOD 26 — not measured
5 NSW 38 50 +31.6%
5 PBN 94 120 +27.7%
5 PBN (IGNP) 2,143 2,034 -5.1%
5 SGR 515 660 +28.2%
5 STB 704 900 +27.8%
5 TKW 88 110 +25.0%
5 UMW 91 95 +4.4%
51000 RD 409 470 +14.9%
54000 RD 179 210 +17.3%
6 ARW 19 23 +21.1%
6 BHM 1,686 2,406 +42.7%
6 BLW 74 100 +35.1%
6 BRP 26 32 +23.1%
6 HDP 182 203 +11.5%
6 HLM 508 554 +9.1%
6 LGW 1,113 1,145 +2.9%
6 LKS 274 380 +38.7%
6 MOD 7 — unreliable
6 NSW 7 — unreliable
6 PBN 50 55 +10.0%
6 SGR 1,711 2,113 +23.5%
6 UMW 26 — unreliable
6 ZWD-A 9 15 +66.7%
67000 RD 37 55 +48.6%
6Z WD-B — — —
7 BLW 82 150 +82.9%
7 BRP 6 — unreliable
7 HDP 3,165 — not measured
7 JRK 267 275 +3.0%
7 LGW-A 153 169 +10.5%
7 LGW-B 124 137 +10.5%
7 LKS 217 235 +8.3%
7 MOD 925 942 +1.8%
7 NSW 18 23 +27.8%
7 PBN 3,551 3,910 +10.1%
7 STB 1,302 1,600 +22.9%
7 STG 181 — not measured
7 ZWD 5 — unreliable
75000 RD 250 285 +14.0%
767.50 RD 210 300 +42.9%
8 BLW 116 225 +94.0%
8 BRP — — —
8 HDP 47 — not measured
8 JRK 316 325 +2.9%
8 LGW-A 80 89 +11.3%
8 LGW-B 60 72 +20.0%
8 LKS 270 250 -7.4%
8 MOD 88 — not measured
8 NSW 9 12 +33.3%
8 PBN 25 28 +12.0%
8 STB 619 732 +18.3%
8 STG-A 4 — unreliable
8 STG-B 70 84 +20.0%
8 UTS 97 88 -9.3%
8 ZWD 12 — unreliable
9 BLW 83 150 +80.7%
9 BRP 4 — unreliable
9 JRK 1,000 1,030 +3.0%
9 LGW 905 1,035 +14.4%
9 LKS-A 221 240 +8.6%
9 LKS-B 39 35 -10.3%
9 MOD 317 — not measured
9 NSW — — —
9 PBN-A 39 42 +7.7%
9 PBN-B 6 — unreliable
9 STB 515 592 +14.9%
9 STG 658 — not measured
9 UTS 122 76 -37.7%
9 ZWD 20 25 +25.0%
BAROPAL BARANI 5,271 — not measured
MANAKTHERI BARANI 3,418 3,900 +14.1%

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.