Suratgarh block

Ganganagar district, Rajasthan · 482 villages

Villages

482

11 created since 2011

Average change

+23.5%

across 365 measurable villages

Population 2011 → 2020

2,12,917 → 2,44,960

compared villages only

Villages in this block

Village	2011	2020	Change
1 Ap	252	465	+84.5%
1 As	633	992	+56.7%
1 Bhm	513	598	+16.6%
1 Bjw	293	350	+19.4%
1 Bkm	739	—	not measured
1 Bksm	238	252	+5.9%
1 Bmm	247	320	+29.6%
1 Bnm	462	512	+10.8%
1 Bnpm	164	—	not measured
1 Bpm	284	290	+2.1%
1 Bpm	270	444	+64.4%
1 Bpsm	640	740	+15.6%
1 Cm	208	184	-11.5%
1 Dbn-A	615	692	+12.5%
1 Dbn-B	651	790	+21.4%
1 Do	1,826	1,840	+0.8%
1 Dwm	570	620	+8.8%
1 Dwsm	635	721	+13.5%
1 Fdm	325	—	not measured
1 Gbm	267	318	+19.1%
1 Gdm	698	605	-13.3%
1 Gdsm	327	358	+9.5%
1 Gmd	248	200	-19.4%
1 Gpm	568	620	+9.2%
1 Gsm	402	338	-15.9%
1 Knd	253	—	not measured
1 Ksm	325	395	+21.5%
1 Ksr-A	2,199	2,405	+9.4%
1 Ksr-B	72	180	+150.0%
1 LMnew	—	—	—
1 Lgm	368	400	+8.7%
1 Lm	348	810	+132.8%
1 MNW	—	—	—
1 Mc	—	—	—
1 Mc Barani	13	15	+15.4%
1 Mnwm	22	—	not measured
1 Nrd	137	149	+8.8%
1 Ppm	306	482	+57.5%
1 Ppn	151	180	+19.2%
1 Rjm	97	105	+8.3%
1 Rm	1,502	—	unreliable
1 Rm	510	575	+12.8%
1 SGM	1,353	1,500	+10.9%
1 Sd	52	92	+76.9%
1 Smr	260	300	+15.4%
1 Spd	101	96	-5.0%
1 Spm	344	380	+10.5%
1 Srpm	1,695	1,870	+10.3%
1 Stb	432	480	+11.1%
1 Ttd	124	—	not measured
1.600 Rd-R	528	520	-1.5%
1.825 Rdl	163	165	+1.2%
10 Fdm	44	—	unreliable
10 Mc	299	317	+6.0%
10 Nrd	22	25	+13.6%
10 Sd	2,490	2,520	+1.2%
10 Sd-A	11	—	unreliable
10 Sgr	2,909	2,445	-15.9%
10 Shpd-A	1,321	1,600	+21.1%
10 Shpd-B	94	130	+38.3%
10 Shpd-C	66	80	+21.2%
10 Shpd-D	6	—	unreliable
10 Shpd-E	—	—	—
103 Rdl	246	271	+10.2%
11 GMnew	—	—	—
11 Gm	312	350	+12.2%
11 Nrd	61	62	+1.6%
11 Nwd	—	—	—
11 Sd	1,168	1,290	+10.4%
11 Sgm	4,242	4,419	+4.2%
11 Sgr	137	145	+5.8%
11 Shpd	296	305	+3.0%
11 Spd-A	48	65	+35.4%
11 Spd-B	259	300	+15.8%
110 Rdl	184	202	+9.8%
12 Lks	418	588	+40.7%
12 Sd	30	50	+66.7%
12 Sgr	694	546	-21.3%
12 Shpd	30	—	unreliable
12 Stb	41	92	+124.4%
13 Lks	422	1,006	+138.4%
13 Sd	723	850	+17.6%
13 Sgr	174	190	+9.2%
13 Shpd	65	116	+78.5%
13 Stb	11	18	+63.6%
13 Stb-A	—	—	—
13.105 Rd-L	66	68	+3.0%
14 Lks	38	—	unreliable
14 Sgr	721	720	-0.1%
14 Shpd	162	362	+123.5%
14 Spd	7	—	unreliable
14 Spd	393	445	+13.2%
14 Stb	4	—	unreliable
14 Stb-A	25	50	+100.0%
14 Stb-B	938	1,080	+15.1%
143 Rd	111	—	not measured
15 Lks	4,673	4,690	+0.4%
15 STBnew	—	—	—
15 Sgr	816	960	+17.6%
15 Shpd	1,478	1,022	-30.9%
15 Spd	992	1,000	+0.8%
15 Stb	83	—	unreliable
15 Stb-A	241	422	+75.1%
156 Rdl	15	20	+33.3%
156 Rdr	12	14	+16.7%
16 Lks	9	15	+66.7%
16 Stb	864	1,685	+95.0%
16.400 Rd-R	248	250	+0.8%
16.800 Rd	6	—	unreliable
165 Rd	129	140	+8.5%
168 Rdl	27	35	+29.6%
168 Rdr	139	146	+5.0%
17 Lks	131	155	+18.3%
17 STBnew	—	—	—
17 Stb	1,840	2,030	+10.3%
17 Stb-A	—	—	—
18 Lgw-A	524	630	+20.2%
18 Lgw-B	77	111	+44.2%
18 Stb	1,110	2,065	+86.0%
185 Rd-A	206	216	+4.8%
185 Rd-B	495	551	+11.3%
19 Lgw-A	74	78	+5.4%
19 Lgw-B	126	132	+4.8%
19 Stb	21	44	+109.5%
191 1\2 Rd	145	150	+3.5%
1O Spd	1,230	1,359	+10.5%
2 Ap	1,142	—	unreliable
2 As	168	180	+7.1%
2 Bhm	33	57	+72.7%
2 Bhm-A	45	67	+48.9%
2 Bjw	427	469	+9.8%
2 Bkm	298	310	+4.0%
2 Bksm	496	510	+2.8%
2 Bmm	215	280	+30.2%
2 Bnm	—	—	—
2 Bnpm -A	141	163	+15.6%
2 Bnpm -B	111	—	not measured
2 Bpm	439	585	+33.3%
2 Bpm	1,009	1,120	+11.0%
2 Bpsm	215	250	+16.3%
2 Cm	154	—	unreliable
2 DOB	365	627	+71.8%
2 Dbn	103	120	+16.5%
2 Doa	579	412	-28.8%
2 Dwm	83	118	+42.2%
2 Dwsm	309	340	+10.0%
2 Fdm	1,170	1,190	+1.7%
2 Gbm	476	530	+11.3%
2 Gdm	560	700	+25.0%
2 Gdsm	388	417	+7.5%
2 Gm	537	605	+12.7%
2 Gmd	96	160	+66.7%
2 Gpm	283	270	-4.6%
2 Gsm	603	656	+8.8%
2 JBDnew	—	—	—
2 Jbd	735	—	not measured
2 Knd	864	919	+6.4%
2 Ksm	193	260	+34.7%
2 Ksr	2,993	2,434	-18.7%
2 Lgm	165	200	+21.2%
2 Lm	1,056	1,155	+9.4%
2 Mc	221	311	+40.7%
2 Mnwm	3,098	—	not measured
2 Mnwm-A	66	—	not measured
2 Nrd	70	157	+124.3%
2 Nrd-A	152	160	+5.3%
2 Ppm	872	612	-29.8%
2 Ppn	1,670	2,120	+26.9%
2 Rjm	632	700	+10.8%
2 Rm	189	200	+5.8%
2 Rm-A	28	42	+50.0%
2 Rm-B	604	629	+4.1%
2 Sd	1,558	1,650	+5.9%
2 Sgm	9,998	—	unreliable
2 Shpd A	267	320	+19.9%
2 Smr	191	200	+4.7%
2 Spd	240	260	+8.3%
2 Spm -A	220	230	+4.5%
2 Spm-B	191	220	+15.2%
2 Srpm	32	55	+71.9%
2 Ttd	442	—	not measured
20 Lgw	78	80	+2.6%
20 Stb	1,929	2,565	+33.0%
20 Stb-A	20	—	unreliable
207 Rd	66	60	-9.1%
21 Lgw	—	—	—
21 Stb	133	225	+69.2%
21.800 Rd	274	475	+73.4%
217 Rd	85	95	+11.8%
22 Lgw-A	129	165	+27.9%
22 Lgw-B	753	1,020	+35.5%
22 Lgw-C	77	94	+22.1%
22 Sd	93	106	+14.0%
22 Stb	166	315	+89.8%
22 Stb-A	1,836	2,743	+49.4%
22 Stb-B	14	—	unreliable
226 Rdl	206	235	+14.1%
226 Rdr	139	152	+9.3%
23 Lgw-A	4	—	unreliable
23 Lgw-B	139	190	+36.7%
23 Stb	1,137	1,270	+11.7%
23 Stb-A	60	111	+85.0%
235 Rd	273	297	+8.8%
239.500 Rd	274	261	-4.7%
24 Lgw	155	210	+35.5%
24 Sd	1,361	1,405	+3.2%
25 Lgw-A	57	105	+84.2%
25 Lgw-B	1,446	1,600	+10.7%
26 Mod	2,348	2,600	+10.7%
27 Lgw	14	31	+121.4%
27 Mod-A	192	200	+4.2%
27 Mod-B	—	—	—
27.845 RDR	1,856	1,860	+0.2%
28 Mod	11	—	not measured
28 Pbn-A	1,425	1,251	-12.2%
28 Pbn-B	1,020	—	unreliable
28.045 Rdl	67	70	+4.5%
3 Ap	284	318	+12.0%
3 As	726	761	+4.8%
3 BPMnew	—	—	—
3 Bjw	130	150	+15.4%
3 Bkm	97	100	+3.1%
3 Bksm	506	526	+4.0%
3 Bmm	3,096	3,530	+14.0%
3 Bnm	258	310	+20.2%
3 Bnpm	—	—	—
3 Bpm	527	—	unreliable
3 Bpm	163	160	-1.8%
3 Bpsm	74	88	+18.9%
3 Cm	279	390	+39.8%
3 Dbn	366	—	unreliable
3 Dwm	76	100	+31.6%
3 Fdm	903	—	not measured
3 Gdm	178	—	not measured
3 Gmd	210	240	+14.3%
3 Gpm	88	137	+55.7%
3 KSRnew	—	—	—
3 Ksm	681	820	+20.4%
3 Ksr	10	—	unreliable
3 Lgm	107	150	+40.2%
3 Mc	680	530	-22.1%
3 Mnwm	28	—	not measured
3 Nrd-A	2,808	3,008	+7.1%
3 Nrd-B	13	—	not measured
3 Ppm	314	367	+16.9%
3 Ppm-A	176	—	unreliable
3 Ppn	243	350	+44.0%
3 Rjm	224	300	+33.9%
3 Rm	121	149	+23.1%
3 Rpm	10	15	+50.0%
3 Sd	983	1,060	+7.8%
3 Sgm	162	187	+15.4%
3 Shpd	1,333	1,600	+20.0%
3 Smr	213	310	+45.5%
3 Spd	6	—	unreliable
3 Spm	271	290	+7.0%
3 Ttd-A	283	—	not measured
3 Ttd-B	1,466	—	not measured
30 Mod	188	199	+5.8%
30 Pbn	48	—	unreliable
31 Pbn	46	48	+4.3%
32 Mod	545	565	+3.7%
32 Pbn	773	630	-18.5%
33 Pbn	—	—	—
33.490 Rd - R	49	—	not measured
33.845 RdL	62	63	+1.6%
34 Pbn-A	444	390	-12.2%
34 Pbn-B	65	—	unreliable
35 Pbn	16	—	unreliable
36 Pbn	41	—	unreliable
37 Pbn	17	—	unreliable
37 Stg	34	—	unreliable
38 Pbn	425	—	unreliable
39 Mod	133	145	+9.0%
39 Pbn	89	74	-16.9%
39 Stg	—	—	—
4 Ap	313	468	+49.5%
4 Bjw	1,338	1,599	+19.5%
4 Bkm	138	140	+1.4%
4 Bksm	480	478	-0.4%
4 Bmm	284	340	+19.7%
4 Bpm	229	250	+9.2%
4 Cm	139	151	+8.6%
4 Dbn	393	515	+31.0%
4 Dwm	485	620	+27.8%
4 Fdm-A	153	185	+20.9%
4 Fdm-B	268	338	+26.1%
4 Gdm	235	144	-38.7%
4 Gm	90	—	unreliable
4 Gmd	117	199	+70.1%
4 KSR SHYUPURAnew	—	—	—
4 Ksr	2,284	3,115	+36.4%
4 Lgm	1,354	1,500	+10.8%
4 Mc	72	76	+5.6%
4 Mnwm	105	75	-28.6%
4 Nrd	44	50	+13.6%
4 Ppm	711	936	+31.6%
4 Ppn	324	414	+27.8%
4 Rjm	127	150	+18.1%
4 Rm	2,491	2,675	+7.4%
4 Rpm	11	10	-9.1%
4 Sd - A	47	72	+53.2%
4 Sd - B	33	36	+9.1%
4 Sgm	15	12	-20.0%
4 Smr	528	610	+15.5%
4 Spd	563	699	+24.2%
40 Pbn	—	—	—
40 Stg	316	—	not measured
41 Pbn	769	1,360	+76.8%
41 Stg	—	—	—
42 Pbn	79	56	-29.1%
42 Stg	2	—	unreliable
43 Pbn	14	12	-14.3%
43 Stg I	455	—	not measured
43 Stg Ii	26	—	not measured
44 Pbn	228	140	-38.6%
44 Stg	—	—	—
45 Pbn	85	103	+21.2%
45 Stg (Rural)	12	10	-16.7%
46 Pbn	—	—	—
47 Pbn	177	213	+20.3%
48 Pbn	—	—	—
49 Pbn	—	—	—
5 Ap	341	336	-1.5%
5 Bkm	318	557	+75.2%
5 Bpm	150	125	-16.7%
5 Cm	314	498	+58.6%
5 Dbn	1,819	2,300	+26.4%
5 Dwm	70	100	+42.9%
5 Fdm -B	150	—	not measured
5 Fdm-A	785	—	not measured
5 Gdm	92	100	+8.7%
5 Gmd	207	—	unreliable
5 Mc	579	580	+0.2%
5 Mnwm	1,899	1,991	+4.8%
5 Nrd	399	450	+12.8%
5 Ppm	244	314	+28.7%
5 Rm	1,089	1,245	+14.3%
5 Sd	438	675	+54.1%
5 Sgm	—	—	—
5 Shpd-A	327	370	+13.2%
5 Shpd-B	176	200	+13.6%
50 Pbn	—	—	—
6 Ap	271	312	+15.1%
6 Bkm	113	—	unreliable
6 Dbn	341	380	+11.4%
6 Dwm	905	1,025	+13.3%
6 Fdm-A	583	634	+8.8%
6 Fdm-B	76	84	+10.5%
6 Gdm	566	950	+67.8%
6 Gmd	2,365	2,598	+9.8%
6 Mc	279	401	+43.7%
6 Nrd	73	75	+2.7%
6 Rm	—	—	—
6 Sd	187	—	unreliable
6 Sgm-A	2,055	2,001	-2.6%
6 Sgm-B	1,753	1,755	+0.1%
6 Shpd	45	51	+13.3%
6 Spd	334	404	+21.0%
7 Ap	35	60	+71.4%
7 Bkm	745	875	+17.4%
7 Dbn	596	720	+20.8%
7 Dwm	76	89	+17.1%
7 Fdm	542	666	+22.9%
7 Gdm	41	66	+61.0%
7 Gmd	37	55	+48.6%
7 Gmd-A	52	67	+28.9%
7 Gmd-B	21	43	+104.8%
7 Mc	86	105	+22.1%
7 Nrd	26	—	not measured
7 Sd	33	50	+51.5%
7 Sgm	2,506	2,680	+6.9%
7 Sgr-A	382	698	+82.7%
7 Sgr-B	1,262	2,098	+66.2%
7 Shpd-A	91	—	unreliable
7 Shpd-B	93	180	+93.5%
7.415 Rd-L	119	124	+4.2%
79.200 Rdl	711	890	+25.2%
8 Dbn	185	240	+29.7%
8 Dwm	210	238	+13.3%
8 Fdm	81	67	-17.3%
8 Mc	106	130	+22.6%
8 Nrd	74	90	+21.6%
8 Sd	303	415	+37.0%
8 Sgm	858	892	+4.0%
8 Sgr	372	—	unreliable
8 Shpd	915	1,100	+20.2%
8 Spd	103	132	+28.2%
85.300 Rdl	217	271	+24.9%
85.300 Rdr	124	148	+19.4%
9 Dbn	287	280	-2.4%
9 Fdm	927	—	unreliable
9 Mc	58	70	+20.7%
9 Nrd - A	121	141	+16.5%
9 Nrd - B	114	—	not measured
9 Sd	434	560	+29.0%
9 Sgm	810	890	+9.9%
9 Sgr	530	—	unreliable
9 Shpd	68	90	+32.4%
9 Spd-A	718	810	+12.8%
9 Spd-B	18	—	unreliable
92.600 Rdl	389	442	+13.6%
92.600 Rdr	518	558	+7.7%
99.150 Rdr	409	436	+6.6%
Amarpura Jatan	2,043	1,379	-32.5%
Arjanotpura	6	10	+66.7%
Bachhrara	1,706	2,085	+22.2%
Bareka	808	—	not measured
Bhagsar	—	—	—
Bhairoonpura	1,674	1,356	-19.0%
Bhojewala	642	1,497	+133.2%
Bhojoosar	735	912	+24.1%
Bhopalpura	—	—	—
Bidasari	—	—	—
Biradhwal	699	734	+5.0%
Birmana Barani	8	13	+62.5%
Chaharsar	829	946	+14.1%
Chak Amarpura	587	693	+18.1%
Chak Bhagwanwala	37	51	+37.8%
Chak Godara Wala	655	—	unreliable
Chak Sadani	351	490	+39.6%
Deidaspura	1,412	1,720	+21.8%
Dhadhiyawali	416	565	+35.8%
Didwana	738	802	+8.7%
EATAnew	—	—	—
Eta	2,318	—	not measured
Faridsar	859	1,035	+20.5%
Gopalsar	1,094	1,507	+37.8%
Govindsar	6	—	unreliable
Gurli Barani	16	28	+75.0%
Gusainsar	775	972	+25.4%
HARDASWALInew	—	—	—
Hardaswali Barani	1,054	1,515	+43.7%
Harisinghpura	947	1,022	+7.9%
Hindor	1,613	2,127	+31.9%
Hinjrasar	31	35	+12.9%
JAYSABHATTInew	—	—	—
Jaisa Bhatti	—	—	—
Jyankidaswala	—	—	—
Kaloosar	878	1,259	+43.4%
Kanor	940	1,060	+12.8%
Karanisar	—	—	—
Kardoo	2,156	2,264	+5.0%
Kaunpalsar	368	445	+20.9%
Khariya	108	200	+85.2%
Kishanpura	2,598	3,647	+40.4%
Kumbhagarh	612	689	+12.6%
Lader	891	1,088	+22.1%
Lalgarh Barani	—	—	—
Maler	2,193	2,419	+10.3%
Manaksar	2,548	2,622	+2.9%
Mohamdabad	431	450	+4.4%
Mokalsar	1,102	1,220	+10.7%
Motasar	—	—	—
Nagliya	203	—	unreliable
PRABHATNAGAR	3,827	3,880	+1.4%
Padampura	39	53	+35.9%
Peepasar	3,166	3,874	+22.4%
Raghunathpura	73	123	+68.5%
Rajiyasar	1,367	2,310	+69.0%
Rajpura Piperan	308	576	+87.0%
Rangmahal	2,786	—	not measured
Ratnisar	49	70	+42.9%
Rattasar	1,322	1,427	+7.9%
Rayanwali	2,917	3,250	+11.4%
Sangeeta Agoona	460	520	+13.0%
Sangeeta Athoona	—	—	—
Sanwalsar	1,521	1,852	+21.8%
Sardarpura Khartha	294	370	+25.9%
Sardarpura Ladana	192	470	+144.8%
Shyonathpura	499	569	+14.0%
Singrasar	1,988	2,000	+0.6%
Somansar	1,805	2,100	+16.3%
Surajansar Barani	—	—	—
Suratgarh (Rural)	545	700	+28.4%
Takharawali	319	—	not measured
Thethar	634	—	not measured
Thukrana	2,628	3,000	+14.2%
Tilawali	113	178	+57.5%
Udaipur Godaran	199	209	+5.0%
Udaipur Musalmanan	—	—	—
Udaipur Udasar	46	48	+4.3%

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.