469:
357:
518:
2466:
29:
161:
2627:
301:
232:
311:
321:
484:(NDRF) for rescue and relief operation. On 25 June 2015, IAF helicopters delivered more than 200,000 food packets to villages affected by the flood. Around 4,000 people were evacuated from seventeen villages downstream of Bhadar dam. More than 200 people were rescued from various places affected by the floods. The Chief Minister of Gujarat,
388:
was badly affected, facing its worst flood in ninety years. Nearly 600 of the 838 villages in the district were flooded. More than 400 villages were inaccessible as road and rail connections were washed away due to flash floods and they had no electricity. Shetrunji river and its tributaries were
202:
was reported to be the worst in 90 years; 600 of the district's 838 villages were affected, 400 of which were rendered inaccessible by land. At least 80 people died in the region, with
Saurashtra suffering the greatest losses. The wild life of
376:
Torrential rains battered
Gujarat, with peak accumulations of 636 mm (25.0 in) in Bagasara, 511 mm (20.1 in) in Dhari, and 400 mm (16 in) in Variyav. Severe flooding ensued across the region, isolating many villages in the
335:
The monsoon in
Gujarat typically starts in mid-June every year. Following a series of monsoonal disturbances, a fresh wave of thunderstorms organized into an area of low pressure on 21 June in the Arabian Sea, off the coast of
372:
7.30% of their average monsoon season rainfall. Overall
Gujarat received 33.95% of its average monsoon season rainfall. These large amounts of rain falling in a short period of time resulted in flooding in Saurashtra region.
2445:
1169:
681:
1139:
651:
591:
211:, an endangered species with only 523 living individuals documented in May 2015, died during the floods while more than a dozen remain missing. The Gujarat government estimated damage at
404:
There was severe damage to crops and a large number of cattle died. The flood and heavy rain resulted in 81 deaths across
Gujarat. The preliminary damage estimated by the government were at
340:. Deep convection persisted to the west of the system while the circulation continued to develop over the next 24 hours, and the IMD started tracking it as a depression, with the identifier
1254:
2431:
824:
766:
740:
2283:
1301:
368:
and south
Gujarat received 65.99% and 37.82% respectively of their average monsoon season rainfall in June. Central-East Gujarat received 19.92%, north Gujarat 7.45% and
344:. ARB 02 continued to develop and by the night of 22 June, the JTWC issued a TCFA on the system, while it was 285 nmi (528 km; 328 mi) west-northwest of
1228:
2681:
2630:
2696:
2249:
2221:
957:
1177:
689:
1147:
659:
1061:
595:
1200:
983:
792:
468:
356:
2276:
2007:
1294:
928:
2438:
1262:
2612:
2576:
2564:
2552:
2540:
2516:
2492:
2480:
2455:
2372:
2317:
192:
171:
2242:
437:, an endangered species with only 523 living individuals documented in May 2015, was severely affected. The carcasses of 10 lions, 1670
1086:
714:
565:
1034:
1008:
2656:
2269:
1318:
1287:
851:
2686:
2235:
2049:
1940:
1112:
2676:
2332:
1444:
2666:
2228:
481:
1898:
1870:
1810:
2021:
1884:
1824:
77:
1486:
2324:
2070:
1734:
618:
2063:
1803:
2661:
1766:
1620:
2465:
2395:
2340:
2196:
2084:
2035:
1741:
1644:
1412:
1391:
902:
2691:
2105:
1975:
1954:
1912:
1782:
1755:
1748:
1451:
1310:
2423:
2651:
2348:
2127:
2042:
1707:
1472:
245:
2671:
2410:
1968:
1672:
523:
430:
204:
877:
799:
389:
flooded. A railway bridge near
Gavadka collapsed and a railway line was washed away near Borala village near
2388:
2203:
2077:
2014:
2000:
1982:
1919:
1831:
1796:
1789:
1714:
1599:
1585:
1578:
1529:
1501:
1494:
1479:
1458:
1384:
531:
503:
2056:
2028:
1933:
1877:
1863:
1856:
1817:
1693:
1571:
460:
A total of 1,12,217 farmers suffered major or minor damages, while 1,34,007 hectares of land were eroded.
2363:
2171:
2164:
2157:
2150:
2136:
2112:
2098:
2091:
1961:
1947:
1926:
1905:
1891:
1838:
1700:
1686:
1679:
1651:
1606:
1592:
1557:
1338:
828:
324:
2504:
2380:
2143:
1658:
1366:
1345:
131:
770:
744:
2178:
1613:
1426:
1359:
1352:
378:
365:
314:
418:
7000 crore (US$ 1.1 billion), much higher than the government's estimation. However, Congress MLA
2402:
1543:
1536:
1522:
1465:
1405:
410:
156:
2311:
1550:
1508:
1419:
1515:
1398:
477:
398:
304:
184:
2588:
1665:
1322:
485:
394:
385:
199:
160:
106:
1564:
419:
216:
2645:
2528:
2294:
541:
536:
393:. Paschim Gujarat Vij Company Ltd (PGVCL) declared 705 electricity poles damaged. In
208:
98:
2600:
2355:
442:
434:
235:
Map plotting the storm's track and intensity, according to the Saffir–Simpson scale
28:
958:"Gujarat flooding: 70 dead, thousands cut off as Saurashtra is hit by heavy rains"
191:
in June 2015. It was the third tropical cyclone and second deep depression of the
633:
390:
2261:
231:
1113:"Gujarat flash floods kill eight lions, other animals : Mail Today, News"
513:
446:
144:
102:
1279:
1725:
1635:
454:
450:
1201:"Gujarat floods take huge toll on lion prey, 1670 nilgai and 80 deers dead"
852:"Saurashtra completes 66% of average monsoon season's rain, Gujarat 34%"
488:
declared Rs 400,000 as compensation to the kin of each of the deceased.
337:
188:
148:
34:
1176:. Ahmedabad, India. Press Trust of India. 28 June 2015. Archived from
688:. Ahmedabad, India. Press Trust of India. 28 June 2015. Archived from
438:
345:
1009:"10 Lions, About 90 Spotted Deer Killed in Flash Floods in Gujarat"
905:. Ahmedabad, India: News Nation. Press Trust of India. 24 June 2015
1035:"5 Lions Found Dead in Gujarat After Heavy Rain Leads to Flooding"
619:"Cyclones and depressions over the north Indian Ocean during 2015"
467:
369:
355:
230:
594:. Ahmedabad, India: Hinudstan Times. 27 June 2015. Archived from
215:
16.5 billion (US$ 258 million); however, Congress MLA
2427:
2265:
1283:
1140:"Gujarat floods kill 7 lions, more than a dozen still missing"
652:"Gujarat floods kill 7 lions, more than a dozen still missing"
401:
town was flooded as the floodgates of Bhadar dam were opened.
187:
which brought heavy rains and flooding to the Indian state of
903:"Flood-like situation in Gujarat due to heavy rains; 34 dead"
632:(3). India Meteorological Department: 537–538. Archived from
364:
There were heavy rains on 23 and 24 June 2015 across
Gujarat.
984:"Indian monsoon rains kill 81 and leave over 9,000 stranded"
592:"Gujarat death toll touches 80, four lakh ex gratia for kin"
1229:"Rs 300cr relief package for Amreli, other flood-hit areas"
259:
Tropical storm (39–73 mph, 63–118 km/h)
254:
Tropical depression (≤38 mph, ≤62 km/h)
1255:"Monsoon rain 24% excess so far, 60 die in Gujarat floods"
1087:"Heavy rains take a toll of five Asiatic lions in Gujarat"
327:, remnant low, tropical disturbance, or monsoon depression
279:
Category 4 (130–156 mph, 209–251 km/h)
274:
Category 3 (111–129 mph, 178–208 km/h)
1170:"Rains Kill Four More Lions in Gujarat, Toll Climbs to 9"
715:"Flash flood: Govt announces Rs 300-crore relief package"
682:"Rains Kill Four More Lions in Gujarat, Toll Climbs to 9"
566:"Flash flood: Govt announces Rs 300-crore relief package"
269:
Category 2 (96–110 mph, 154–177 km/h)
264:
Category 1 (74–95 mph, 119–153 km/h)
360:
Flood affected areas of Amreli district on 24 June 2015
1223:
1221:
284:
Category 5 (≥157 mph, ≥252 km/h)
2213:
2188:
2126:
1992:
1848:
1774:
1765:
1724:
1634:
1436:
1376:
1330:
1317:
472:
People being rescued by Indian Air Force helicopter
140:
126:
118:
113:
92:
84:
65:
57:
49:
42:
1062:"Four lions found dead in flood waters in Gujarat"
929:"Gujarat's Amreli battles worst flood in 90 years"
499:150 crore from the National Calamity Relief Fund.
798:. India Meteorological Department. Archived from
2250:Tamil Nadu State Disaster Management Authority
827:. Joint Typhoon Warning Center. Archived from
617:Devi, S. Sunitha; Kundale, A. P. (July 2016).
207:and the adjoining area was also affected. Ten
2439:
2277:
1295:
951:
949:
825:"Tropical Cyclone Formation Alert – 22/2100z"
767:"Special Tropical Weather Outlook – 22/0600z"
741:"Special Tropical Weather Outlook – 21/0600z"
8:
560:
558:
556:
21:
1199:Analysis, Daily News & (11 July 2015).
922:
920:
2446:
2432:
2424:
2284:
2270:
2262:
1771:
1327:
1302:
1288:
1280:
397:, more than 1700 houses sustained damage.
159:
27:
20:
878:"Quick updates in brief on Gujarat flood"
426:70 billion (US$ 1.09 billion).
223:70 billion (US$ 1.09 billion).
495:300 crore relief package which included
552:
2682:2015 North Indian Ocean cyclone season
2456:2015 North Indian Ocean cyclone season
2222:National Disaster Management Authority
491:The Government of Gujarat announced a
193:2015 North Indian Ocean cyclone season
172:2015 North Indian Ocean cyclone season
2243:State Disaster Response Force (Assam)
793:"Tropical Weather Outlook – 22/0600z"
7:
709:
707:
2587:
2582:
2236:Odisha Disaster Rapid Action Force
1146:. Ahmedabad, India. Archived from
1060:Parmar, Vijaysinh (26 June 2015).
658:. Ahmedabad, India. Archived from
476:The state government deployed the
408:1650 crore (US$ 260 million), but
14:
2697:History of Gujarat (1947–present)
2563:
2558:
2539:
2534:
2479:
2474:
982:Stevenson, Chris (26 June 2015).
2626:
2625:
2611:
2606:
2599:
2594:
2575:
2570:
2551:
2546:
2515:
2510:
2503:
2498:
2464:
2229:National Disaster Response Force
516:
482:National Disaster Response Force
422:claimed damage to be as high as
319:
309:
299:
219:claimed damage to be as high as
2527:
2522:
2491:
2486:
1261:. 26 June 2015. Archived from
1:
1138:Mahesh Langa (28 June 2015).
650:Mahesh Langa (28 June 2015).
2333:Uttar Pradesh train accident
876:DeshGujarat (24 June 2015).
850:DeshGujarat (24 June 2015).
16:North Indian cyclone in 2015
2396:Harda twin train derailment
2318:North India unseasonal rain
433:and adjoining area housing
2713:
2657:Tropical cyclones in India
2296:Disasters in India in 2015
1311:Natural disasters in India
506:a month after this storm.
88:55 km/h (35 mph)
2687:Tropical cyclones in 2015
2621:
2471:
2462:
2454:Tropical cyclones of the
2305:
2050:October Hindu Kush (2015)
167:
155:
130:$ 260 million (2015
72:
26:
2677:June 2015 events in Asia
2373:Mumbai alcohol poisoning
524:Tropical cyclones portal
431:Gir Forest National Park
414:estimated the damage at
205:Gir Forest National Park
2667:2015 disasters in India
2356:Muri Express derailment
1259:www.hindustantimes.com/
532:July 2015 Gujarat flood
33:ARB 02 approaching the
1885:Andaman Islands (1941)
1174:The New Indian Express
956:India (26 June 2015).
769:. USNO. Archived from
743:. USNO. Archived from
686:The New Indian Express
504:flood affected Gujarat
473:
361:
332:
227:Meteorological history
181:Deep Depression ARB 02
44:Meteorological history
22:Deep Depression ARB 02
2408:November 8–10
1413:Andhra Pradesh (1990)
1392:Andhra Pradesh (1977)
471:
457:were also recovered.
359:
325:Extratropical cyclone
234:
136:(Government estimate)
2400:September 12
1804:Rann of Kutch (1819)
927:TNN (26 June 2015).
246:Saffir–Simpson scale
93:Lowest pressure
2662:2015 floods in Asia
2411:South Indian floods
2389:North Gujarat flood
2310:February 13
2008:Indian Ocean (2004)
639:on 4 November 2019.
315:Subtropical cyclone
23:
2403:Petlawad explosion
2386:July 27–30
2325:Swine flu outbreak
2085:Uttarakhand (2017)
2036:Nepal (April 2015)
1927:Pithoragarh (1980)
1871:Nepal–India (1934)
1756:Uttarakhand (2022)
1749:Uttarakhand (2021)
1708:Uttarakhand (2023)
1614:South India (2023)
1600:North India (2023)
1586:South India (2021)
1579:Maharashtra (2021)
1572:Uttarakhand (2021)
1530:West Bengal (2017)
1502:South India (2015)
1487:North India (2014)
1480:North India (2013)
1452:Maharashtra (2005)
1420:North India (1993)
1233:The Times of India
1066:The Times of India
962:The Indian Express
933:The Times of India
719:The Indian Express
570:The Indian Express
474:
411:The Indian Express
362:
333:
85:Highest winds
74:3-minute sustained
2692:Floods in Gujarat
2639:
2638:
2421:
2420:
2312:Anekal derailment
2259:
2258:
2204:Dust storm (2018)
2122:
2121:
2106:Badakhshan (2023)
1976:North East (1997)
1955:Uttarkashi (1991)
1913:Koynanagar (1967)
1783:Lo Mustang (1505)
1630:
1629:
1565:East India (2020)
1473:East India (2010)
1445:East India (2000)
1385:Rameswaram (1964)
805:on 21 August 2016
379:Saurashtra region
178:
177:
2704:
2652:Deep depressions
2629:
2628:
2609:
2597:
2585:
2573:
2561:
2549:
2537:
2525:
2513:
2501:
2489:
2477:
2468:
2448:
2441:
2434:
2425:
2394:August 4
2360:May–June
2349:Nepal earthquake
2341:Nepal earthquake
2338:April 25
2330:March 20
2297:
2286:
2279:
2272:
2263:
2252:
2245:
2238:
2231:
2224:
2206:
2199:
2197:Cold wave (2017)
2181:
2174:
2167:
2160:
2153:
2146:
2139:
2115:
2108:
2101:
2094:
2087:
2080:
2073:
2066:
2059:
2052:
2045:
2043:Nepal (May 2015)
2038:
2031:
2024:
2017:
2010:
2003:
1985:
1978:
1971:
1964:
1957:
1950:
1943:
1936:
1929:
1922:
1915:
1908:
1901:
1894:
1887:
1880:
1873:
1866:
1859:
1841:
1834:
1827:
1820:
1813:
1806:
1799:
1792:
1785:
1772:
1758:
1751:
1744:
1737:
1717:
1710:
1703:
1696:
1689:
1682:
1675:
1673:Pettimudi (2020)
1668:
1661:
1654:
1647:
1623:
1616:
1609:
1607:Himalayas (2023)
1602:
1595:
1593:Balrampur (2022)
1588:
1581:
1574:
1567:
1560:
1558:Hyderabad (2020)
1553:
1546:
1539:
1532:
1525:
1518:
1511:
1504:
1497:
1490:
1482:
1475:
1468:
1461:
1454:
1447:
1429:
1422:
1415:
1408:
1401:
1394:
1387:
1369:
1362:
1355:
1348:
1341:
1328:
1304:
1297:
1290:
1281:
1275:
1274:
1272:
1270:
1251:
1245:
1244:
1242:
1240:
1225:
1216:
1215:
1213:
1211:
1196:
1190:
1189:
1187:
1185:
1166:
1160:
1159:
1157:
1155:
1135:
1129:
1128:
1126:
1124:
1109:
1103:
1102:
1100:
1098:
1083:
1077:
1076:
1074:
1072:
1057:
1051:
1050:
1048:
1046:
1031:
1025:
1024:
1022:
1020:
1005:
999:
998:
996:
994:
979:
973:
972:
970:
968:
953:
944:
943:
941:
939:
924:
915:
914:
912:
910:
899:
893:
892:
890:
888:
873:
867:
866:
864:
862:
847:
841:
840:
838:
836:
821:
815:
814:
812:
810:
804:
797:
789:
783:
782:
780:
778:
763:
757:
756:
754:
752:
737:
731:
730:
728:
726:
711:
702:
701:
699:
697:
678:
672:
671:
669:
667:
647:
641:
640:
638:
623:
614:
608:
607:
605:
603:
588:
582:
581:
579:
577:
562:
526:
521:
520:
519:
498:
494:
478:Indian Air Force
425:
417:
407:
323:
322:
313:
312:
305:Tropical cyclone
303:
302:
288:
283:
278:
273:
268:
263:
258:
253:
222:
214:
198:Flooding in the
185:tropical cyclone
163:
109:
68:
45:
37:coast on 23 June
31:
24:
2712:
2711:
2707:
2706:
2705:
2703:
2702:
2701:
2672:Amreli district
2642:
2641:
2640:
2635:
2617:
2616:
2615:
2610:
2607:
2604:
2603:
2598:
2595:
2592:
2591:
2586:
2583:
2580:
2579:
2574:
2571:
2568:
2567:
2562:
2559:
2556:
2555:
2550:
2547:
2544:
2543:
2538:
2535:
2532:
2531:
2526:
2523:
2520:
2519:
2514:
2511:
2508:
2507:
2502:
2499:
2496:
2495:
2490:
2487:
2484:
2483:
2478:
2475:
2469:
2458:
2452:
2422:
2417:
2416:
2378:June 24
2370:June 17
2301:
2295:
2290:
2260:
2255:
2248:
2241:
2234:
2227:
2220:
2209:
2202:
2195:
2184:
2177:
2170:
2163:
2156:
2149:
2142:
2135:
2118:
2111:
2104:
2097:
2090:
2083:
2076:
2069:
2062:
2055:
2048:
2041:
2034:
2027:
2020:
2013:
2006:
1999:
1988:
1981:
1974:
1969:Jabalpur (1997)
1967:
1960:
1953:
1946:
1939:
1932:
1925:
1918:
1911:
1904:
1897:
1890:
1883:
1876:
1869:
1862:
1855:
1844:
1837:
1830:
1823:
1816:
1809:
1802:
1795:
1788:
1781:
1761:
1754:
1747:
1740:
1733:
1720:
1713:
1706:
1699:
1692:
1685:
1678:
1671:
1664:
1657:
1650:
1645:Amarnath (1996)
1643:
1626:
1619:
1612:
1605:
1598:
1591:
1584:
1577:
1570:
1563:
1556:
1549:
1542:
1535:
1528:
1521:
1514:
1507:
1500:
1493:
1485:
1478:
1471:
1464:
1457:
1450:
1443:
1432:
1425:
1418:
1411:
1404:
1397:
1390:
1383:
1372:
1365:
1358:
1351:
1344:
1339:Calcutta (1737)
1337:
1313:
1308:
1278:
1268:
1266:
1265:on 26 June 2015
1253:
1252:
1248:
1238:
1236:
1227:
1226:
1219:
1209:
1207:
1198:
1197:
1193:
1183:
1181:
1180:on 28 June 2015
1168:
1167:
1163:
1153:
1151:
1150:on 28 June 2015
1144:Hindustan Times
1137:
1136:
1132:
1122:
1120:
1111:
1110:
1106:
1096:
1094:
1085:
1084:
1080:
1070:
1068:
1059:
1058:
1054:
1044:
1042:
1033:
1032:
1028:
1018:
1016:
1007:
1006:
1002:
992:
990:
988:The Independent
981:
980:
976:
966:
964:
955:
954:
947:
937:
935:
926:
925:
918:
908:
906:
901:
900:
896:
886:
884:
875:
874:
870:
860:
858:
849:
848:
844:
834:
832:
823:
822:
818:
808:
806:
802:
795:
791:
790:
786:
776:
774:
765:
764:
760:
750:
748:
739:
738:
734:
724:
722:
713:
712:
705:
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656:Hindustan Times
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2064:Sagaing (2016)
2060:
2053:
2046:
2039:
2032:
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2022:Andaman (2009)
2018:
2015:Kashmir (2005)
2011:
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1983:Chamoli (1999)
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1867:
1860:
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1842:
1835:
1832:Kashmir (1885)
1828:
1825:Nicobar (1881)
1821:
1814:
1807:
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1797:Garhwal (1803)
1793:
1790:Kashmir (1555)
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1315:
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1235:. 15 July 2015
1217:
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1161:
1130:
1119:. 28 June 2015
1104:
1093:. 26 June 2015
1078:
1052:
1041:. 26 June 2015
1026:
1015:. 12 July 2015
1000:
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945:
916:
894:
868:
842:
831:on 22 May 2024
816:
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773:on 22 May 2024
758:
747:on 22 May 2024
732:
721:. 15 July 2015
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572:. 15 July 2015
551:
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2057:Imphal (2016)
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1878:Quetta (1935)
1875:
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1857:Kangra (1905)
1854:
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1463:
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1427:Odisha (1999)
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1403:
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1381:
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1353:Bengal (1876)
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2331:
2323:
2113:Nepal (2023)
2099:Nepal (2022)
2092:Assam (2021)
1993:2000–present
1962:Latur (1993)
1948:Bihar (1988)
1941:India (1988)
1906:Anjar (1956)
1899:Assam (1950)
1892:Assam (1947)
1839:Assam (1897)
1811:Bihar (1833)
1742:Gurez (2017)
1666:Malpa (1998)
1659:Malin (2014)
1621:Assam (2024)
1551:Assam (2020)
1544:India (2019)
1516:Bihar (2017)
1509:Assam (2016)
1459:India (2007)
1437:2000–present
1399:Bihar (1987)
1367:Gohna (1894)
1267:. Retrieved
1263:the original
1258:
1249:
1237:. Retrieved
1232:
1208:. Retrieved
1204:
1194:
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625:
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600:. Retrieved
596:the original
586:
574:. Retrieved
569:
501:
490:
475:
459:
443:spotted deer
428:
409:
403:
383:
375:
363:
341:
334:
294:
244:
197:
180:
179:
170:
169:Part of the
73:
61:24 June 2015
53:22 June 2015
18:
1775:Before 1900
1331:Before 1900
1117:India Today
882:DeshGujarat
856:DeshGujarat
447:black bucks
391:Savarkundla
183:was a weak
2646:Categories
1767:Earthquake
548:References
480:(IAF) and
455:porcupines
451:wild boars
366:Saurashtra
295:Storm type
145:West India
119:Fatalities
58:Dissipated
2364:Heat wave
2128:Heat wave
1849:1900–2000
1726:Avalanche
1636:Landslide
1377:1901–2000
464:Aftermath
453:and some
2631:Category
2214:Agencies
1239:2 August
1210:2 August
1019:2 August
1013:NDTV.com
725:2 August
576:2 August
510:See also
502:Another
289:Unknown
35:Gujarati
2589:Chapala
2565:LAND 04
2553:LAND 03
2541:LAND 02
2517:LAND 01
2481:Ashobaa
1319:Cyclone
1269:26 June
1184:28 June
1154:28 June
1123:29 June
1097:26 June
1071:26 June
1045:26 June
993:26 June
967:26 June
938:26 June
909:24 June
887:26 June
861:26 June
835:23 June
809:22 June
777:22 June
751:22 June
696:28 June
666:28 June
602:27 June
445:, nine
338:Gujarat
239:Map key
189:Gujarat
157:IBTrACS
149:Gujarat
2613:BOB 03
2577:ARB 03
2505:ARB 02
2493:BOB 01
2189:Others
626:Mausam
449:, six
439:Nilgai
399:Jetpur
352:Impact
346:Mumbai
342:ARB 02
287:
282:
277:
272:
267:
262:
257:
252:
127:Damage
50:Formed
2529:Komen
1323:flood
803:(PDF)
796:(PDF)
637:(PDF)
622:(PDF)
441:, 87
370:Kutch
2601:Megh
2596:ESCS
2584:ESCS
2179:2023
2172:2022
2165:2019
2158:2016
2151:2015
2144:2007
2137:2002
1271:2015
1241:2015
1212:2015
1186:2015
1156:2015
1125:2015
1099:2015
1073:2015
1047:2015
1039:NDTV
1021:2015
995:2015
969:2015
940:2015
911:2015
889:2015
863:2015
837:2015
811:2015
779:2015
753:2015
727:2015
698:2015
668:2015
604:2015
578:2015
429:The
107:inHg
103:mbar
97:988
1205:dna
132:USD
99:hPa
78:IMD
2648::
2608:DD
2572:DD
2560:DD
2536:DD
2524:CS
2500:DD
2476:CS
1257:.
1231:.
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424:â‚ą
416:â‚ą
406:â‚ą
221:â‚ą
213:â‚ą
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76:(
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