Country	NAIC Number	1997	1998	1999	2000	2001	2002	2003	2004	2005	2006
Argentina	324110	"132,868"	"194,237"	"309,179"	"481,815"	"561,031"	"660,967"	"758,252"	"786,630"	"1,102,097"	"578,723"
Argentina	325199	"33,504"	"62,491"	"37,619"	"33,803"	"28,470"	"34,166"	"65,354"	"81,317"	"101,265"	"102,754"
Argentina	211111	"416,031"	"310,859"	"407,990"	"571,003"	"450,690"	"625,848"	"517,038"	"791,807"	"1,010,268"	"651,258"
Argentina	331111	"74,315"	"88,500"	"129,660"	"159,178"	"133,711"	"125,204"	"136,829"	"211,000"	"185,126"	"119,813"
Argentina	331312	"23,546"	"37,873"	"36,879"	"103,941"	"93,018"	"121,511"	"111,745"	"115,943"	"126,701"	"154,994"
Argentina	311421	"154,425"	"77,891"	"126,738"	"105,144"	"98,575"	"76,157"	"93,800"	"108,787"	"147,869"	"156,824"
Argentina	312130	"13,229"	"23,540"	"21,698"	"32,500"	"36,346"	"35,087"	"37,564"	"47,686"	"67,043"	"92,244"
Argentina	316110	"257,170"	"261,456"	"291,560"	"360,890"	"366,168"	"292,770"	"146,176"	"142,265"	"153,872"	"144,096"
Argentina	311223	"18,314"	"42,694"	"15,726"	"16,250"	"13,520"	"26,304"	"28,341"	"23,167"	"53,943"	"60,907"
Argentina	111150	"18,059"	"42,896"	"44,332"	"35,636"	"20,675"	"16,099"	"16,090"	"11,020"	"15,243"	"40,964"
Argentina	325998	"28,705"	"26,800"	"24,137"	"40,750"	"33,626"	"42,488"	"47,065"	"28,405"	"59,954"	"76,617"
Argentina	980000	"66,082"	"86,066"	"78,620"	"127,235"	"106,288"	"90,425"	"60,095"	"52,294"	"51,589"	"50,207"
Argentina	311611	"128,872"	"124,636"	"131,445"	"116,901"	"85,563"	"59,242"	"58,666"	"86,940"	"95,105"	"88,650"
Argentina	325188	"2,963"	"22,374"	"9,191"	"15,231"	"12,764"	"15,176"	"15,865"	"28,239"	"25,885"	"38,919"
Argentina	114111	"70,532"	"76,546"	"72,069"	"69,308"	"57,815"	"51,086"	"53,871"	"58,009"	"54,753"	"62,954"
Argentina	311513	"22,215"	"23,858"	"22,457"	"23,962"	"19,900"	"23,016"	"24,195"	"28,957"	"50,961"	"45,027"
Argentina	111910	"80,196"	"18,187"	"32,876"	"33,554"	"33,759"	"41,515"	"43,622"	"37,094"	"42,029"	"66,648"
Argentina	311920	"26,236"	"36,579"	"33,257"	"31,146"	"33,893"	"32,286"	"25,208"	"30,142"	"35,341"	"36,250"
Argentina	311411	"10,658"	"8,646"	"6,614"	"16,091"	"13,074"	"20,202"	"14,570"	"11,297"	"19,903"	"28,257"
Argentina	111334	114	795	486	821	"2,420"	"3,730"	"2,556"	"9,734"	"15,266"	"26,000"
Argentina	111339	"21,732"	"23,301"	"33,967"	"37,843"	"40,390"	"36,590"	"35,522"	"25,909"	"42,540"	"47,631"
Argentina	326211	"7,017"	"25,106"	"34,087"	"18,043"	"14,570"	"18,650"	"23,999"	"21,716"	"23,783"	"34,528"
Argentina	325192	"9,602"	"14,065"	"8,177"	"6,265"	"19,894"	"19,097"	"26,218"	"66,330"	"66,597"	"85,029"
Argentina	336399	"16,786"	"4,473"	"1,517"	"2,143"	"2,591"	"6,157"	"14,096"	"22,861"	"53,208"	"53,802"
Argentina	112910	"74,078"	"39,126"	"40,777"	"42,849"	"18,978"	"17,845"	"11,013"	"7,096"	"29,945"	"45,788"
Argentina	333618	"6,129"	"5,868"	"10,018"	"9,762"	"11,932"	"13,524"	"16,340"	"22,223"	"26,149"	"26,841"
Argentina	990000	"13,349"	"7,770"	"10,480"	"10,958"	"10,947"	"12,991"	"11,821"	"14,479"	"19,068"	"16,841"
Argentina	311911	"5,447"	"12,579"	"2,979"	"6,404"	"6,237"	"9,179"	"7,900"	"2,841"	"3,738"	"6,066"
Argentina	331112	"10,633"	"13,343"	"8,439"	"5,688"	"5,292"	"5,336"	"5,549"	"7,580"	"11,779"	"13,901"
Argentina	211112	"10,842"	"13,824"	"13,424"	"2,167"	"9,901"	"17,549"	"40,192"	"79,215"	"163,925"	"80,607"
Argentina	327122	"9,847"	"11,607"	"15,664"	"16,926"	"17,144"	"19,998"	"19,402"	"21,741"	"29,387"	"30,783"
Argentina	311340	"9,807"	"15,324"	"14,310"	"23,245"	"19,727"	"42,393"	"38,384"	"34,288"	"27,584"	"31,192"
Argentina	321113	"10,651"	"7,909"	"9,592"	"9,917"	"13,540"	"33,337"	"34,360"	"49,449"	"44,239"	"48,072"
Argentina	333911	"1,818"	"1,265"	861	"2,250"	"2,224"	"2,101"	"1,784"	"2,633"	"5,170"	"5,715"
Argentina	31131X	"31,355"	"38,098"	"9,177"	"15,215"	"17,291"	"26,346"	"16,849"	"17,238"	"21,069"	"33,717"
Argentina	114112	"15,632"	"8,828"	"15,774"	"23,267"	"45,949"	"39,226"	"28,555"	"17,987"	"10,100"	"27,245"
Argentina	331319	"1,441"	"1,074"	"1,001"	"12,194"	0	0	0	"18,120"	"24,331"	"28,243"
Argentina	321918	"3,762"	"7,118"	"8,443"	"4,718"	"3,763"	"10,278"	"11,633"	"23,363"	"17,344"	"30,964"
Argentina	920000	"7,118"	"11,119"	"7,439"	"8,742"	"9,023"	"5,928"	"10,255"	"9,425"	"10,780"	"15,622"
Argentina	337215	"48,533"	"43,150"	"60,472"	"69,010"	"58,259"	"54,271"	"62,838"	"73,271"	"52,421"	"46,004"
Argentina	331511	445	"2,757"	"3,037"	"5,491"	"4,521"	"4,830"	"4,205"	"4,655"	"6,976"	"9,669"
Argentina	910000	"4,593"	"1,150"	"4,680"	"1,337"	"2,031"	"4,931"	"3,429"	"5,543"	"7,414"	947
Argentina	333111	"1,261"	"1,148"	"1,482"	"4,595"	"4,613"	"4,773"	"4,795"	"5,185"	"9,078"	"23,447"
Argentina	111219	"4,951"	"11,864"	"23,962"	"5,885"	"9,167"	"8,296"	"7,983"	"6,882"	"9,695"	"8,568"
Argentina	311423	"6,093"	"5,155"	"8,768"	"8,302"	"6,390"	"5,046"	"5,128"	"6,431"	"14,985"	"16,014"
Argentina	333120	905	"1,663"	"1,887"	"1,161"	"1,765"	"5,969"	"3,533"	"8,738"	"15,323"	"16,047"
Argentina	325211	"16,801"	"17,797"	"16,633"	"15,492"	"8,981"	"8,813"	"12,520"	"9,105"	"18,071"	"18,845"
Argentina	33631X	"4,841"	"6,281"	"6,044"	"8,052"	"6,968"	"6,678"	"7,515"	"6,831"	"9,623"	"9,694"
Argentina	325191	"8,130"	"7,880"	"6,742"	"11,110"	"9,691"	"4,394"	"6,361"	"11,206"	"8,274"	"11,618"
Argentina	311225	17	106	0	47	483	386	"1,117"	"6,117"	"6,311"	"12,375"
Argentina	336350	396	"13,751"	"21,731"	"18,366"	"27,210"	"32,951"	"32,906"	"44,941"	"11,822"	"17,205"
Argentina	112920	"6,065"	"3,714"	"5,819"	"5,109"	"10,596"	"4,372"	"2,510"	"4,409"	"4,769"	"5,848"
Argentina	111110	"5,889"	"7,077"	"6,874"	"3,612"	"4,660"	"5,864"	"5,344"	"5,908"	"7,364"	"8,535"
Argentina	336330	"1,190"	"5,108"	"8,295"	"7,314"	"4,309"	"4,336"	"7,267"	"11,759"	"11,081"	"8,333"
Argentina	321219	"3,495"	"3,862"	"4,865"	"4,318"	"4,052"	"5,826"	"9,940"	"27,212"	"26,921"	"27,583"
Argentina	332994	"2,521"	"1,948"	"3,403"	"3,391"	"3,981"	"4,270"	"5,129"	"5,223"	"4,936"	"6,422"
Argentina	325611	439	38	203	62	81	129	"1,028"	"5,986"	"5,713"	"9,220"
Argentina	337127	"5,226"	"4,866"	"6,982"	"6,768"	"6,822"	"6,474"	"9,646"	"11,072"	"11,085"	"8,792"
Argentina	321213	230	737	928	662	823	64	"2,479"	"7,039"	"5,417"	"11,526"
Argentina	315292	"6,159"	"1,710"	"2,335"	"4,290"	"4,036"	"4,236"	"2,972"	"3,941"	"5,816"	"6,753"
Argentina	316999	"19,320"	"19,366"	"17,754"	"13,345"	"9,457"	"16,791"	"12,332"	"13,002"	"12,971"	"10,626"
Argentina	326113	"1,641"	"2,463"	"2,640"	"2,604"	"3,669"	"3,503"	"6,636"	"6,925"	"8,041"	"7,838"
Argentina	332999	"3,381"	"2,883"	"2,371"	"2,048"	"1,468"	"2,665"	"2,180"	"2,901"	"4,411"	"4,680"
Argentina	326220	42	21	"1,329"	"6,535"	"4,797"	"3,917"	"1,354"	980	"1,941"	"1,883"
Argentina	325411	"9,318"	"13,057"	"20,114"	"14,066"	"8,365"	"8,844"	"5,885"	"11,067"	"6,155"	"8,717"
Argentina	332991	"7,456"	"8,589"	"16,551"	"12,901"	"6,267"	"8,537"	"8,178"	"8,885"	"7,075"	"3,896"
Argentina	327991	592	800	"2,514"	"3,948"	"5,194"	"4,949"	"5,240"	"7,646"	"8,298"	"8,214"
Argentina	331419	517	"15,442"	"22,386"	"1,747"	"7,872"	"11,109"	"1,189"	"2,103"	131	"7,822"
Argentina	311422	"6,682"	"6,213"	"6,053"	"4,494"	"4,237"	"3,920"	"4,258"	"3,467"	"2,898"	"2,706"
Argentina	335311	0	0	5	10	7	0	0	999	10	820
Argentina	322121	"1,270"	647	759	680	"1,137"	"2,342"	"8,149"	"10,237"	"5,810"	"9,123"
Argentina	332911	"5,094"	"2,506"	"3,427"	"1,787"	"3,811"	"2,098"	"3,177"	"3,323"	"3,788"	"4,361"
Argentina	113210	30	70	60	172	91	65	"2,186"	"3,972"	"3,322"	"4,553"
Argentina	334513	28	152	46	166	126	133	72	993	"2,116"	"5,623"
Argentina	332510	471	408	296	485	479	278	249	"1,713"	"6,264"	"5,839"
Argentina	325193	"6,623"	"8,581"	"7,390"	"7,539"	"7,173"	"7,798"	"6,731"	"7,183"	"3,985"	"9,774"
Argentina	332919	0	397	3	59	23	190	24	168	164	18
Argentina	332312	182	"5,564"	489	"1,059"	"1,123"	888	849	"1,792"	"1,171"	815
Argentina	333999	588	205	956	"1,280"	"2,371"	"1,438"	"1,793"	"1,796"	"4,132"	"3,792"
Argentina	336612	"9,740"	"3,112"	42	"8,154"	"1,325"	"2,334"	"4,858"	"1,233"	"1,133"	"1,073"
Argentina	31181X	677	957	"1,244"	"1,219"	"1,639"	"1,548"	"2,375"	"3,309"	"3,519"	"4,198"
Argentina	313249	158	"1,175"	543	83	622	816	"1,339"	"2,635"	"4,101"	"4,410"
Argentina	336340	"3,131"	"3,016"	"5,833"	"4,096"	"5,959"	"8,504"	"9,832"	"12,111"	"9,425"	"10,059"
Argentina	333132	463	368	96	203	742	683	"1,263"	"3,277"	"3,308"	"4,241"
Argentina	333993	"1,618"	"1,627"	"2,237"	"1,334"	"1,569"	"2,393"	"1,270"	"1,805"	"1,351"	"1,441"
Argentina	325620	204	189	395	223	734	848	"1,372"	"3,693"	"5,273"	"4,958"
Argentina	335313	26	20	22	30	20	41	216	113	324	401
Argentina	325412	315	172	530	761	"1,516"	"1,478"	"1,603"	"1,596"	553	377
Argentina	333294	739	"1,608"	"3,550"	980	"1,100"	952	"1,109"	"1,736"	"1,600"	"2,442"
Argentina	322222	118	75	392	423	164	37	"1,159"	"2,473"	"3,745"	"2,553"
Argentina	325131	0	0	12	6	982	981	882	"1,199"	974	593
Argentina	327215	490	104	188	169	351	777	"1,514"	"2,596"	"2,526"	"2,257"
Argentina	326199	"2,012"	"2,970"	"2,429"	"3,101"	"2,874"	"3,938"	"6,587"	"7,333"	"6,599"	"6,398"
Argentina	339911	787	640	"1,608"	"3,783"	"3,900"	"1,677"	"2,754"	"3,504"	"3,297"	"2,264"
Argentina	323117	"1,747"	"1,620"	"1,336"	"1,980"	"2,978"	"1,619"	955	"1,425"	"2,481"	"2,684"
Argentina	311221	200	268	108	"3,072"	"1,043"	"1,639"	"3,577"	"1,943"	"1,981"	"1,783"
Argentina	111998	"2,340"	"2,013"	"2,127"	322	"1,277"	"3,471"	646	363	"1,125"	422
Argentina	311999	468	238	307	414	567	631	"1,254"	"6,351"	"2,287"	"2,580"
Argentina	111992	"28,967"	"26,686"	"33,248"	"30,442"	"37,132"	"29,927"	"4,692"	21	118	476
Argentina	311514	276	177	200	664	675	879	"1,076"	"2,315"	"2,766"	"1,512"
Argentina	111331	"1,204"	746	"2,738"	"1,625"	"2,817"	"1,313"	"4,184"	"2,381"	"1,429"	"1,323"
Argentina	333516	85	165	95	189	269	308	518	803	906	"1,665"
Argentina	111120	203	536	"1,296"	"1,168"	184	570	"1,790"	"1,965"	"2,627"	"1,462"
Argentina	311230	0	23	0	0	0	93	811	"1,272"	"2,161"	"2,134"
Argentina	339113	313	223	225	529	29	383	"1,021"	885	"1,324"	"1,678"
Argentina	326299	"1,100"	"1,120"	498	186	130	129	405	"2,825"	803	"1,325"
Argentina	334612	123	593	348	356	533	652	"1,158"	"4,147"	"6,255"	"2,903"
Argentina	312140	0	0	0	96	5	0	0	0	37	991
Argentina	333922	12	1	5	242	"1,932"	"1,350"	42	174	632	415
Argentina	333412	243	424	551	894	891	536	394	442	875	"1,286"
Argentina	333613	459	411	505	"1,366"	"1,360"	670	978	"3,185"	"1,697"	"1,729"
Argentina	311711	"2,627"	"2,116"	"2,377"	"1,846"	"1,350"	"1,006"	"1,029"	"1,475"	"1,102"	"1,907"
Argentina	325920	2	2	38	103	510	381	336	352	732	877
Argentina	311320	"2,180"	"2,915"	"2,451"	"3,232"	"4,833"	"5,594"	"4,802"	"5,655"	"3,522"	"5,459"
Argentina	313312	226	823	328	457	557	414	"1,184"	"1,202"	"1,196"	"1,315"
Argentina	336322	293	263	983	978	"2,417"	"3,458"	"3,431"	"2,816"	"3,394"	"3,203"
Argentina	321999	118	135	84	111	426	758	692	"1,214"	"2,167"	"1,913"
Argentina	111130	89	148	50	93	166	"4,010"	257	194	481	579
Argentina	331491	122	4	431	128	45	23	367	586	"2,178"	"2,368"
Argentina	334310	105	18	101	115	227	342	58	"1,414"	"2,137"	"2,803"
Argentina	325414	78	756	527	311	416	411	342	573	498	"1,231"
Argentina	333512	191	409	282	409	307	66	77	267	391	"1,056"
Argentina	337121	"1,075"	"1,468"	"1,034"	"1,805"	"1,711"	869	"1,753"	"1,454"	"1,763"	"2,007"
Argentina	336412	"2,103"	"2,316"	84	991	"1,483"	795	890	"1,042"	"1,636"	"1,285"
Argentina	111335	11	"8,423"	"4,809"	82	197	279	353	393	455	557
Argentina	339999	"2,580"	"1,218"	"1,345"	"1,290"	"1,182"	"1,176"	843	746	"1,277"	"1,279"
Argentina	334210	271	98	93	127	220	664	135	430	666	436
Argentina	315999	"19,967"	"17,549"	"10,046"	"8,474"	"12,144"	"14,714"	"13,545"	"14,385"	"12,987"	"12,979"
Argentina	311823	0	1	27	11	834	417	254	255	540	438
Argentina	323119	"1,025"	860	207	434	369	293	863	"1,165"	"1,801"	"1,727"
Argentina	314110	33	17	138	329	216	618	630	525	737	"1,303"
Argentina	336991	257	431	"1,264"	964	"1,188"	"2,141"	"1,024"	"1,107"	"1,561"	"1,751"
Argentina	335312	167	75	369	"6,931"	"1,143"	"1,242"	862	"1,076"	"1,677"	"1,362"
Argentina	339912	404	200	348	499	375	282	342	261	879	"1,198"
Argentina	321911	429	63	8	815	294	232	842	419	718	"1,050"
Argentina	327124	47	85	65	23	0	0	3	6	0	0
Argentina	339112	"1,630"	"2,024"	"1,611"	"1,516"	"1,615"	"2,142"	396	113	40	494
Argentina	111199	406	145	17	0	0	0	"2,879"	"9,896"	39	39
Argentina	336360	11	9	221	369	167	44	13	31	25	19
Argentina	311212	"1,136"	9	14	32	23	32	104	74	116	"5,217"
Argentina	332212	"1,517"	"1,733"	"1,419"	"1,551"	902	673	532	615	786	656
Argentina	333994	145	26	0	4	0	5	98	19	114	68
Argentina	313221	145	28	389	123	79	62	73	843	745	781
Argentina	311822	3	21	70	136	189	386	492	438	446	475
Argentina	334516	10	76	89	76	200	90	144	224	352	419
Argentina	321920	700	684	915	393	555	661	"1,052"	750	"1,252"	"1,156"
Argentina	334413	199	196	58	237	258	162	165	168	494	285
Argentina	334515	93	43	92	169	418	367	443	611	810	878
Argentina	339993	74	71	22	5	14	74	340	227	566	787
Argentina	332912	16	136	668	255	134	208	272	425	437	449
Argentina	339920	829	"1,138"	"1,379"	"1,082"	"1,152"	536	874	"1,314"	"1,001"	"1,350"
Argentina	334119	"2,767"	"1,256"	"1,926"	"1,435"	"1,081"	"1,430"	"1,512"	"1,119"	"1,614"	"1,459"
Argentina	335929	108	56	293	"1,216"	120	71	9	27	157	185
Argentina	325222	266	179	"2,631"	"1,777"	"1,096"	403	679	"1,374"	"1,175"	698
Argentina	316992	276	316	125	39	180	197	499	"1,161"	"1,687"	"1,380"
Argentina	332722	24	59	32	54	117	413	41	116	215	364
Argentina	333997	0	0	50	0	34	3	0	25	213	418
Argentina	337124	192	320	430	478	447	327	359	"1,199"	947	825
Argentina	334419	322	"3,364"	"2,270"	"1,452"	627	"1,040"	297	461	291	515
Argentina	339991	35	41	198	95	122	506	455	501	642	669
Argentina	333291	5	67	282	0	70	0	0	16	9	50
Argentina	312120	71	48	347	294	403	338	337	714	536	623
Argentina	334112	275	385	371	162	81	50	20	30	20	7
Argentina	332211	293	235	252	457	299	416	395	356	436	690
Argentina	332321	50	18	40	32	3	76	153	21	168	223
Argentina	111140	0	0	0	0	0	0	14	0	0	0
Argentina	327212	845	859	"2,230"	"3,405"	"1,064"	263	362	996	469	588
Argentina	325132	641	849	"1,031"	881	678	877	786	725	732	605
Argentina	333612	788	362	448	475	225	303	200	364	568	371
Argentina	332439	"1,005"	"1,087"	"1,016"	810	918	624	393	456	835	468
Argentina	336120	26	0	0	0	352	394	208	236	948	109
Argentina	111332	0	332	"1,004"	"2,950"	"7,455"	"4,265"	679	563	409	18
Argentina	333515	118	46	35	17	18	84	52	257	364	606
Argentina	313230	"1,066"	"2,454"	71	65	18	361	"5,331"	"4,689"	665	626
Argentina	313210	"1,455"	856	926	"1,467"	581	"5,302"	"1,929"	603	501	330
Argentina	315239	"1,042"	859	576	788	"2,862"	"2,221"	"1,718"	"1,614"	"1,552"	"1,064"
Argentina	316214	50	32	22	38	47	604	"1,382"	731	964	877
Argentina	333298	48	0	0	0	150	32	22	10	5	0
Argentina	335314	3	4	231	70	138	35	202	39	724	350
Argentina	311119	27	0	29	"2,130"	"1,742"	"1,464"	"2,155"	"1,263"	"1,553"	922
Argentina	333514	0	0	6	0	0	0	3	3	0	"4,605"
Argentina	312111	38	13	36	"2,157"	93	93	212	516	319	535
Argentina	325510	429	355	550	102	140	123	44	125	91	80
Argentina	333912	12	46	101	157	378	754	"1,048"	964	"1,716"	776
Argentina	311613	137	280	"1,068"	386	599	251	403	"2,239"	900	795
Argentina	316991	766	239	89	46	344	99	117	321	286	287
Argentina	332992	35	312	317	686	"1,198"	"1,497"	973	"1,333"	"1,104"	608
Argentina	315223	237	41	340	149	45	333	198	388	235	402
Argentina	332420	166	24	287	62	79	280	62	42	210	161
Argentina	327213	86	84	51	71	"1,788"	428	"1,336"	518	364	613
Argentina	335121	831	827	"1,461"	"1,063"	836	373	649	"1,182"	"1,276"	859
Argentina	313111	0	3	3	45	276	"4,522"	"1,855"	"1,182"	75	48
Argentina	325613	"2,711"	"3,223"	985	"2,010"	"1,091"	"1,129"	"1,353"	"1,537"	856	"3,220"
Argentina	335999	106	84	458	299	"1,033"	220	86	66	"3,342"	82
Argentina	334512	58	10	276	270	311	408	410	383	268	456
Argentina	333924	108	"1,411"	"2,269"	"1,917"	174	823	86	934	"1,340"	"2,293"
Argentina	316213	175	39	27	86	108	"1,220"	919	251	277	286
Argentina	334417	24	2	2	94	19	53	249	70	253	308
Argentina	339994	23	0	13	71	90	305	97	59	146	159
Argentina	325212	"3,861"	"2,424"	"11,034"	"10,847"	"9,161"	"3,226"	"3,766"	"4,767"	"6,235"	"2,961"
Argentina	327112	81	94	137	185	288	155	159	223	425	338
Argentina	337211	11	15	22	24	18	38	111	152	220	456
Argentina	112990	20	10	10	7	0	47	49	39	145	150
Argentina	334418	211	226	129	187	262	"1,866"	815	726	765	506
Argentina	323118	8	11	3	73	89	49	86	232	330	"1,227"
Argentina	322233	0	1	4	0	0	180	34	328	68	"1,466"
Argentina	339913	"1,278"	"1,452"	"1,672"	"1,587"	592	857	389	"1,140"	"1,047"	475
Argentina	333513	203	89	208	80	"1,557"	211	118	53	26	431
Argentina	335129	141	224	195	155	119	103	292	550	435	334
Argentina	339992	323	211	282	222	108	87	205	287	243	419
Argentina	333415	60	11	508	135	184	827	482	432	465	199
Argentina	315232	46	273	141	497	365	574	762	661	573	573
Argentina	332913	123	168	946	"1,217"	"1,303"	"1,320"	"1,171"	"1,144"	723	789
Argentina	333995	3	13	59	63	34	23	0	29	16	52
Argentina	327211	162	657	104	73	379	"1,932"	"3,002"	"2,224"	"1,738"	"1,242"
Argentina	339114	443	610	333	109	329	159	373	805	975	675
Argentina	332618	"4,472"	"3,440"	"1,917"	"1,124"	"1,929"	"1,377"	"3,700"	"5,045"	"4,131"	"2,734"
Argentina	333992	341	367	"1,451"	"1,012"	"1,255"	191	"1,204"	799	"1,139"	"2,232"
Argentina	315291	4	10	19	16	98	230	394	533	281	211
Argentina	311512	667	33	396	105	364	173	13	"1,703"	701	382
Argentina	311222	0	5	0	0	0	361	0	"23,526"	"2,089"	834
Argentina	339932	227	373	"1,974"	"1,550"	316	196	223	222	"1,177"	537
Argentina	324122	0	0	8	15	8	7	40	15	47	131
Argentina	314999	"1,517"	884	381	491	417	135	240	870	512	741
Argentina	322223	262	30	96	55	76	159	325	544	878	932
Argentina	327111	"1,041"	833	"1,539"	394	249	406	634	"1,039"	608	298
Argentina	325612	0	12	4	0	2	5	56	65	187	215
Argentina	334510	18	145	39	385	221	76	181	93	64	94
Argentina	315233	33	95	69	167	268	326	285	376	396	356
Argentina	333611	386	78	"2,079"	"3,371"	3	217	73	256	79	269
Argentina	315228	"1,065"	13	237	14	95	475	253	192	136	340
Argentina	333220	39	32	197	294	64	781	131	126	80	506
Argentina	311520	0	0	0	0	0	0	13	33	0	145
Argentina	336510	0	"2,988"	532	3	130	130	285	395	168	205
Argentina	333314	11	45	34	76	41	6	54	121	238	63
Argentina	334220	121	299	116	311	403	"7,913"	289	150	222	422
Argentina	334519	364	458	377	379	273	32	121	279	158	84
Argentina	334511	3	2	6	35	5	2	5	19	2	308
Argentina	333313	329	144	44	76	25	38	36	55	49	20
Argentina	322299	42	0	6	3	126	162	62	145	800	126
Argentina	335221	2	45	20	42	15	62	79	67	103	128
Argentina	315231	391	339	216	12	19	355	408	247	137	159
Argentina	334514	11	23	16	0	147	125	0	6	165	72
Argentina	212311	0	149	38	67	95	179	83	72	35	72
Argentina	333414	716	289	339	380	453	255	"1,551"	790	"1,217"	870
Argentina	332998	576	533	378	208	232	53	154	136	120	121
Argentina	336413	335	529	569	796	81	818	77	183	460	357
Argentina	335931	0	0	0	44	6	75	9	22	8	47
Argentina	333996	105	84	205	765	374	289	326	475	453	605
Argentina	322291	0	0	32	52	2	316	"3,291"	"3,331"	569	"1,222"
Argentina	333921	7	532	0	52	101	6	98	257	43	191
Argentina	325992	665	159	"1,117"	"2,924"	"1,109"	411	406	245	101	125
Argentina	336111	26	0	128	154	0	29	100	52	154	264
Argentina	314129	29	58	198	230	131	"1,184"	536	"8,602"	"17,914"	971
Argentina	337110	8	0	0	0	0	24	196	154	775	318
Argentina	332611	0	0	0	28	89	64	258	507	290	180
Argentina	331492	0	0	0	0	0	0	0	2	51	29
Argentina	315234	24	115	46	132	285	246	271	304	443	202
Argentina	332214	0	0	2	57	8	12	"4,190"	468	4	80
Argentina	314911	211	750	"1,139"	"1,478"	756	278	118	135	233	166
Argentina	332322	0	0	0	0	0	23	3	0	0	0
Argentina	333511	15	632	0	27	83	9	203	58	234	30
Argentina	315991	0	6	2	0	10	43	193	352	219	125
Argentina	335911	5	0	0	33	168	295	30	7	21	46
Argentina	316219	183	25	118	76	696	189	133	152	76	101
Argentina	335211	9	123	172	36	36	68	78	156	120	153
Argentina	112410	72	"1,225"	250	15	0	40	20	0	87	42
Argentina	326121	33	3	19	34	63	62	43	79	98	144
Argentina	212391	360	955	717	"1,014"	85	86	93	12	0	152
Argentina	334111	10	100	183	169	195	94	172	17	38	76
Argentina	113310	98	38	6	287	290	"1,524"	818	274	585	643
Argentina	327910	35	27	2	13	41	17	77	375	101	132
Argentina	335921	0	0	5	0	0	0	0	0	0	0
Argentina	335991	0	0	0	316	85	63	4	10	36	25
Argentina	326122	221	179	262	172	179	"1,233"	116	261	43	17
Argentina	335228	78	411	21	467	77	230	506	747	345	"1,071"
Argentina	321211	154	56	339	133	760	"2,129"	"2,394"	325	170	68
Argentina	315224	7	19	13	4	80	140	146	137	72	72
Argentina	331411	0	0	0	0	0	0	0	0	0	0
Argentina	321992	0	0	0	32	0	2	6	30	0	48
Argentina	322212	0	0	0	5	0	0	11	28	4	0
Argentina	316993	254	80	28	25	38	92	60	116	157	173
Argentina	332410	0	0	6	7	435	3	2	59	0	20
Argentina	322122	65	0	0	0	0	0	47	217	71	0
Argentina	322224	0	0	0	521	20	13	0	0	18	0
Argentina	339944	148	0	2	10	0	51	212	49	81	8
Argentina	314912	20	17	37	29	94	97	55	44	11	35
Argentina	339942	0	6	0	5	16	18	38	31	59	30
Argentina	334518	25	161	170	73	57	121	448	101	157	86
Argentina	311942	215	186	68	236	296	181	29	36	41	30
Argentina	334416	11	0	0	12	133	74	5	10	116	67
Argentina	339914	33	2	8	25	57	42	169	185	162	152
Argentina	333293	56	86	251	163	89	894	925	161	137	117
Argentina	311941	5	10	24	39	15	37	94	238	21	12
Argentina	332115	0	15	16	"4,681"	"5,957"	"3,913"	"1,917"	"1,740"	"1,787"	"1,235"
Argentina	333131	70	70	29	0	59	47	344	12	54	18
Argentina	321114	0	0	0	0	0	4	2	0	139	0
Argentina	322211	0	0	0	12	13	9	50	27	24	24
Argentina	333210	870	594	8	61	0	0	41	99	79	187
Argentina	333913	0	8	16	48	22	141	13	3	4	9
Argentina	311511	0	0	0	0	0	0	0	0	0	35
Argentina	315221	2	0	17	0	0	10	15	41	34	37
Argentina	322232	2	0	0	0	0	0	0	20	27	82
Argentina	212393	331	"1,248"	762	255	34	454	8	74	"9,252"	480
Argentina	332311	0	3	0	0	0	0	0	0	0	48
Argentina	334517	91	29	9	23	9	24	0	5	31	61
Argentina	327390	7	2	15	16	36	47	83	104	142	122
Argentina	316211	98	116	3	0	22	8	22	12	8	7
Argentina	334414	0	0	2	5	11	3	5	0	303	0
Argentina	325520	30	6	0	94	535	0	145	132	114	680
Argentina	333923	90	"11,532"	"1,345"	10	0	565	42	0	0	0
Argentina	339950	1	16	6	4	4	8	9	29	54	38
Argentina	311211	"1,288"	12	3	17	69	"2,921"	"5,348"	169	"1,741"	66
Argentina	334412	12	12	0	0	43	0	11	10	17	0
Argentina	315222	2	8	7	3	202	9	12	39	12	35
Argentina	337214	0	3	47	22	23	43	95	113	107	169
Argentina	334290	10	9	0	0	27	17	2	0	7	21
Argentina	311111	41	29	211	153	59	621	490	0	52	58
Argentina	326160	5	10	5	10	104	180	82	162	378	843
Argentina	333411	0	0	0	0	0	0	30	138	112	242
Argentina	31511X	29	0	1	1	70	37	69	82	30	31
Argentina	321212	0	10	49	275	86	"1,080"	937	383	135	500
Argentina	212112	6	0	24	0	0	4	4	0	0	0
Argentina	315992	3	0	19	4	2	14	1	12	9	11
Argentina	327125	12	0	0	0	31	0	0	0	0	17
Argentina	331421	700	676	507	"3,152"	"4,485"	779	3	0	2	134
Argentina	327992	0	783	"1,045"	"1,670"	"1,139"	"1,030"	471	650	437	248
Argentina	312112	12	6	0	0	12	124	90	80	12	8
Argentina	327113	0	0	3	5	63	103	42	0	31	64
Argentina	325120	0	174	15	4	0	0	4	11	7	7
Argentina	333991	6	57	7	31	34	19	18	4	91	5
Argentina	336411	"5,598"	4	0	0	0	20	0	32	494	0
Argentina	327999	25	53	62	62	65	33	96	174	322	203
Argentina	336211	9	0	0	0	0	5	4	2	9	0
Argentina	332997	0	2	3	0	2	0	0	5	0	0
Argentina	334613	15	13	2	54	5	58	176	55	28	11
Argentina	327121	0	0	0	0	0	23	0	2	0	2
Argentina	322215	0	0	0	0	6	0	3	3	0	5
Argentina	511210	513	39	38	33	33	67	12	20	43	530
Argentina	333315	28	2	27	17	8	33	561	9	60	117
Argentina	333292	69	58	328	675	50	36	42	374	64	12
Argentina	336321	47	25	135	64	45	0	2	2	3	0
Argentina	339943	0	6	0	0	0	0	78	11	0	0
Argentina	325182	12	96	36	71	53	7	7	0	0	0
Argentina	112930	374	200	629	131	59	276	220	137	87	37
Argentina	313320	8	73	6	61	53	16	18	4	9	4
Argentina	314121	0	0	7	1	0	43	19	27	10	17
Argentina	316212	0	0	0	0	0	1	6	0	0	4
Argentina	327123	28	67	50	44	13	50	77	13	20	172
Argentina	325910	0	0	0	0	55	8	0	0	5	7
Argentina	336391	0	44	0	26	211	473	163	313	581	658
Argentina	111421	0	8	81	69	2	0	0	86	0	3
Argentina	336214	15	15	0	35	0	41	13	141	13	8
Argentina	327993	0	0	9	304	0	0	62	"1,339"	"2,565"	"5,666"
Argentina	333311	0	0	0	0	0	0	0	0	6	0
Argentina	335110	2	0	0	0	0	0	22	0	11	0
Argentina	326212	0	83	0	0	2	0	1	0	0	0
Argentina	314991	9	2	14	16	14	5	0	2	0	1
Argentina	111310	0	0	37	110	50	3	0	0	0	0
Argentina	111320	0	0	0	"6,159"	"13,016"	9	0	0	0	0
Argentina	111920	16	"2,756"	"6,134"	6	0	0	0	0	0	0
Argentina	111991	0	0	0	0	0	0	13	0	0	0
Argentina	322110	0	14	0	0	60	0	0	0	0	0
Argentina	314992	0	0	0	0	0	8	25	297	0	0
Argentina	313113	2	1	0	1	2	4	1	1	0	1
Argentina	312229	0	0	2	0	0	0	71	0	0	0
Argentina	312221	0	0	0	0	0	0	0	0	0	0
Argentina	312113	0	0	0	0	0	0	0	0	0	3
Argentina	212399	0	0	21	11	0	0	4	10	5	35
Argentina	212325	0	0	0	0	0	0	19	58	0	0
Argentina	212324	0	0	0	0	0	0	10	0	0	0
Argentina	325312	82	68	284	364	264	88	164	20	0	0
Argentina	325311	0	0	0	0	"14,834"	"5,176"	"14,483"	"4,642"	"7,878"	"6,664"
Argentina	325221	0	0	0	0	0	0	0	0	0	0
Argentina	325181	424	168	286	335	468	398	248	0	0	0
Argentina	325110	476	"7,512"	"13,378"	"3,003"	"26,019"	"8,444"	"7,009"	"2,844"	"13,086"	"21,070"
Argentina	323122	0	0	0	0	150	2	13	38	40	22
Argentina	323116	0	0	0	0	0	0	0	20	0	0
Argentina	322214	0	1	7	0	0	0	0	0	16	9
Argentina	322213	0	0	0	0	0	0	5	0	9	0
Argentina	212322	0	0	0	0	0	0	0	0	4	6
Argentina	212319	0	2	3	0	0	17	0	0	0	0
Argentina	212299	0	0	0	0	96	0	0	0	0	0
Argentina	212234	0	"5,761"	0	0	0	0	0	0	0	0
Argentina	212231	0	581	0	0	0	0	0	0	0	0
Argentina	114119	44	38	39	5	11	0	0	14	0	75
Argentina	112511	2	4	0	22	14	4	6	10	4	0
Argentina	112420	0	0	14	2	20	35	0	88	208	159
Argentina	339941	32	3	99	0	11	22	11	7	18	0
Argentina	339931	151	300	355	702	216	5	7	39	10	18
Argentina	339115	8	2	41	0	6	68	86	2	5	8
Argentina	337920	4	2	0	0	0	21	12	5	5	3
Argentina	337910	0	0	0	0	0	0	0	5	13	2
Argentina	336611	0	0	0	123	0	60	0	0	0	9
Argentina	336419	0	0	8	0	3	0	0	0	2	0
Argentina	336212	10	0	0	0	0	35	0	11	303	226
Argentina	335932	0	0	0	0	0	0	0	0	0	502
Argentina	335912	0	0	0	20	0	0	0	41	0	0
Argentina	335224	10	11	23	7	0	13	14	7	12	7
Argentina	335222	2	0	0	0	0	308	93	2	0	7
Argentina	335212	0	0	0	0	3	31	11	21	27	3
Argentina	334415	23	4	4	0	5	4	8	0	0	0
Argentina	334411	0	0	54	3	0	29	123	3	0	0
Argentina	331422	59	134	10	0	0	0	0	0	0	0
Argentina	336370	25	11	0	0	0	0	0	0	0	0
Argentina	336213	0	0	0	0	0	0	0	0	368	0
Argentina	331316	342	6	"2,325"	"2,944"	8	78	634	724	"6,222"	32
Argentina	331315	"2,731"	"1,820"	0	51	209	"1,212"	"1,297"	325	0	3
Argentina	331314	0	0	0	0	7	0	0	0	0	0
Argentina	331222	"3,365"	"3,067"	"4,306"	"3,399"	"3,051"	"2,105"	"2,706"	"2,142"	"1,375"	"2,341"
Argentina	327420	0	0	8	0	0	0	60	9	14	"6,132"
Argentina	327410	0	0	0	0	0	12	0	0	0	0
Argentina	327331	0	0	0	0	3	3	0	0	3	0
Argentina	327310	0	0	0	0	0	0	0	0	4	3
Argentina	333319	0	9	8	3	8	6	65	16	31	7
Argentina	333295	0	2	0	7	0	0	0	0	734	778
Argentina	332995	0	0	21	27	4	0	0	0	47	0
Argentina	332431	0	0	29	109	0	"1,157"	462	268	713	213
Argentina	332323	0	0	54	0	0	0	0	0	19	8
Argentina	332213	0	0	0	9	0	6	0	0	5	0
Argentina	326192	0	0	0	0	0	12	45	148	102	51
Argentina	326191	49	0	1	0	1	10	23	10	11	12
Argentina	326112	0	0	0	0	0	0	0	3	29	58
Argentina	325320	14	0	"1,204"	0	53	"2,536"	633	"1,332"	157	650
Argentina	315993	0	1	0	0	0	0	1	1	1	0
Argentina	311930	0	1	0	0	0	11	0	0	37	0
Argentina	311919	0	0	21	0	2	0	0	6	14	19
Argentina	311213	0	0	0	0	0	0	0	0	0	3
Argentina	11211X	0	0	0	159	0	0	0	0	0	0
Argentina	111940	0	0	0	0	0	0	0	0	0	22
Argentina	111422	0	3	0	0	0	0	0	0	0	0
Argentina	111411	0	0	0	2	0	0	0	0	0	0
Argentina	111333	20	90	79	140	45	32	25	74	346	150
Australia	311611	"455,301"	"580,571"	"628,976"	"826,657"	"1,030,398"	"1,081,902"	"1,162,117"	"1,405,054"	"1,253,116"	"1,291,052"
Australia	211111	"75,437"	"110,433"	"136,734"	"309,528"	"225,251"	"271,145"	"241,426"	"329,911"	"79,364"	"69,830"
Australia	336111	"282,547"	"133,140"	"140,810"	"236,589"	"278,624"	"311,029"	"140,091"	"403,528"	"278,148"	"242,805"
Australia	312130	"123,399"	"149,839"	"203,527"	"281,190"	"345,634"	"457,888"	"625,455"	"728,522"	"761,019"	"761,367"
Australia	331419	"133,535"	"588,456"	"137,671"	"189,837"	"157,417"	"98,342"	"116,783"	"215,022"	"336,379"	"543,161"
Australia	331111	"120,370"	"227,331"	"163,442"	"186,157"	"131,236"	"146,195"	"150,424"	"257,332"	"233,410"	"464,370"
Australia	980000	"331,621"	"403,206"	"429,802"	"421,139"	"471,009"	"458,614"	"588,339"	"446,659"	"425,013"	"400,505"
Australia	331491	"17,555"	"47,310"	"58,466"	"2,925"	"1,911"	921	"2,336"	"49,880"	"49,559"	"293,380"
Australia	325412	"22,812"	"25,613"	"48,111"	"58,092"	"158,131"	"135,255"	"135,495"	"127,365"	"174,280"	"239,827"
Australia	331311	"598,026"	"504,181"	"424,527"	"489,142"	"318,600"	"266,535"	"158,763"	"175,977"	"225,485"	"277,497"
Australia	212299	"143,515"	"134,902"	"122,568"	"181,313"	"163,210"	"201,652"	"194,667"	"190,855"	"166,401"	"148,680"
Australia	339113	"31,479"	"42,936"	"51,131"	"51,939"	"25,108"	"5,486"	"7,215"	"7,163"	"9,064"	"11,471"
Australia	211112	"126,467"	"114,044"	"39,811"	"76,311"	"25,790"	"91,032"	"53,414"	"28,576"	"53,897"	"27,794"
Australia	212291	0	0	"4,438"	"43,192"	"51,635"	"20,397"	"1,867"	0	"15,652"	"52,593"
Australia	339112	"3,581"	"5,200"	"7,000"	"14,370"	"43,768"	"87,418"	"103,021"	"134,731"	"213,414"	"282,903"
Australia	336413	"136,481"	"150,981"	"132,770"	"102,844"	"129,009"	"105,132"	"107,349"	"95,184"	"113,263"	"129,965"
Australia	334510	"27,008"	"33,262"	"36,093"	"39,846"	"44,596"	"69,628"	"56,390"	"56,885"	"73,955"	"101,058"
Australia	331312	"2,030"	"78,314"	"89,748"	"38,774"	"188,059"	"140,206"	"70,274"	"122,892"	"134,734"	"151,964"
Australia	333120	"23,521"	"27,398"	"43,119"	"29,425"	"34,577"	"21,624"	"34,860"	"34,523"	"38,344"	"48,425"
Australia	339913	"40,467"	"36,347"	"64,268"	"63,035"	"71,571"	"84,564"	"76,294"	"98,092"	"78,488"	"82,398"
Australia	311221	"24,092"	"34,585"	"39,424"	"39,273"	"24,881"	"28,674"	"30,891"	"28,907"	"28,702"	"27,224"
Australia	990000	"29,541"	"45,736"	"54,209"	"63,015"	"76,326"	"65,613"	"75,043"	"90,933"	"98,587"	"105,953"
Australia	333999	"16,563"	"32,389"	"25,016"	"36,978"	"33,769"	"34,390"	"48,607"	"51,468"	"66,364"	"60,073"
Australia	331112	"34,077"	"34,351"	"31,228"	"35,815"	"29,671"	"20,412"	"23,453"	"49,449"	"24,481"	"21,656"
Australia	311514	"19,971"	"27,584"	"39,925"	"50,910"	"37,144"	"44,472"	"59,566"	"65,313"	"62,115"	"76,109"
Australia	325188	"124,366"	"96,439"	"111,421"	"112,201"	"69,620"	"80,955"	"158,793"	"155,242"	"176,662"	"203,957"
Australia	325411	"9,941"	"7,497"	"19,054"	"6,733"	"12,409"	"9,903"	"20,240"	"49,125"	"48,377"	"54,171"
Australia	336612	"31,046"	"28,030"	"21,444"	"33,357"	"49,356"	"35,907"	"48,673"	"50,144"	"45,655"	"54,156"
Australia	114112	"39,975"	"45,817"	"46,857"	"65,146"	"48,842"	"52,281"	"68,070"	"72,422"	"78,768"	"73,574"
Australia	324110	"14,434"	"13,136"	"62,179"	"29,052"	"69,903"	"79,086"	"37,727"	"50,501"	"51,941"	"37,495"
Australia	325199	"22,874"	"15,392"	"21,271"	"53,752"	"77,462"	"20,596"	"36,509"	"35,854"	"29,125"	"27,459"
Australia	325414	"4,189"	"4,363"	"8,646"	"6,302"	"11,277"	"9,843"	"17,475"	"44,623"	"31,374"	"23,284"
Australia	334516	"19,984"	"24,374"	"24,961"	"28,004"	"27,272"	"29,327"	"28,431"	"32,742"	"38,595"	"44,929"
Australia	336991	"14,247"	"16,475"	"20,930"	"23,189"	"28,787"	"38,650"	"43,765"	"49,917"	"52,140"	"46,391"
Australia	31131X	"86,941"	"74,741"	"36,702"	"37,098"	"39,027"	"42,903"	"40,974"	"47,380"	"57,151"	"83,238"
Australia	339911	"16,088"	"23,247"	"22,480"	"14,919"	"10,453"	"9,913"	"15,063"	"19,765"	"23,679"	"30,874"
Australia	336399	"18,630"	"16,705"	"22,392"	"24,653"	"21,207"	"34,234"	"32,428"	"32,507"	"37,756"	"31,937"
Australia	334210	"18,339"	"10,767"	"15,809"	"35,924"	"22,114"	"14,967"	"24,190"	"20,239"	"10,057"	"13,335"
Australia	325211	594	342	355	878	588	470	"1,542"	"1,368"	"3,263"	"17,460"
Australia	333111	"18,882"	"17,886"	"21,479"	"15,909"	"13,550"	"17,885"	"20,929"	"12,788"	"10,594"	"13,660"
Australia	327215	"2,671"	"21,982"	"69,979"	"56,329"	"43,403"	"37,367"	"54,432"	"59,866"	"70,156"	"53,280"
Australia	322121	902	"1,645"	"4,841"	"12,364"	"14,755"	"30,269"	"23,108"	"38,063"	"31,033"	"37,775"
Australia	332999	"9,591"	"9,375"	"12,676"	"12,505"	"18,154"	"22,360"	"20,973"	"22,282"	"24,350"	"21,330"
Australia	920000	"12,371"	"15,700"	"14,498"	"18,962"	"14,454"	"9,317"	"12,197"	"24,241"	"21,638"	"29,843"
Australia	334519	"5,667"	"6,606"	"5,632"	"11,907"	"17,202"	"16,820"	"16,107"	"13,520"	"33,800"	"29,754"
Australia	336340	"58,506"	"69,952"	"102,877"	"113,479"	"87,185"	"100,918"	"111,606"	"107,851"	"61,129"	"39,007"
Australia	334119	"38,366"	"42,167"	"47,882"	"22,075"	"18,187"	"16,866"	"20,671"	"24,588"	"27,104"	"29,272"
Australia	111310	"21,160"	"30,212"	"25,673"	"28,611"	"18,404"	"23,004"	"22,037"	"25,136"	"28,725"	"24,294"
Australia	111998	"6,213"	"6,919"	"5,016"	"5,038"	"5,974"	"4,243"	"4,031"	"7,222"	"12,153"	"12,174"
Australia	335999	"8,517"	"6,270"	"6,683"	"8,795"	"8,169"	"7,320"	"8,324"	"11,157"	"9,904"	"16,787"
Australia	339999	"12,114"	"8,829"	"8,011"	"18,569"	"25,169"	"35,012"	"53,106"	"73,601"	"115,139"	"57,328"
Australia	326199	"5,786"	"6,679"	"8,181"	"9,450"	"8,565"	"13,215"	"13,718"	"16,587"	"25,813"	"20,948"
Australia	311513	"16,178"	"17,177"	"18,679"	"17,140"	"18,882"	"19,446"	"24,704"	"24,492"	"48,822"	"43,344"
Australia	333315	"1,127"	"1,700"	"1,871"	"3,617"	"3,520"	"3,604"	"3,983"	"7,467"	"8,438"	"11,683"
Australia	334515	"11,801"	"19,655"	"25,417"	"55,940"	"54,113"	"32,988"	"21,340"	"15,927"	"18,374"	"16,968"
Australia	311613	"17,476"	"13,093"	"10,333"	"14,781"	"12,957"	"14,380"	"14,039"	"11,834"	"9,041"	"11,804"
Australia	336510	"11,682"	"15,405"	"4,072"	"1,547"	"1,540"	"1,655"	"1,543"	"3,998"	"6,256"	"18,155"
Australia	325620	"2,534"	"4,928"	"11,299"	"20,528"	"22,180"	"13,054"	"19,857"	"18,520"	"18,811"	"20,094"
Australia	332913	257	245	126	69	151	616	472	191	777	"10,962"
Australia	332911	"8,541"	"11,164"	"10,848"	"15,595"	"11,769"	"10,377"	"12,450"	"13,286"	"21,094"	"15,811"
Australia	311999	492	"1,897"	"1,323"	"4,910"	"7,848"	"19,135"	"12,669"	"10,197"	"11,881"	"13,960"
Australia	335222	10	4	28	0	33	17	40	647	"4,493"	"6,603"
Australia	333131	"5,573"	"11,657"	"5,704"	"7,427"	"3,119"	"4,523"	"8,697"	"7,435"	"12,872"	"23,455"
Australia	333512	"44,724"	"17,455"	"27,413"	"36,308"	"32,176"	"15,685"	"9,444"	"12,749"	"18,244"	"19,191"
Australia	334511	943	"2,960"	"3,788"	"3,840"	"3,546"	"2,484"	"4,725"	"2,584"	"4,470"	"4,780"
Australia	325320	"2,027"	"1,171"	"15,774"	"4,491"	"8,152"	"6,624"	"4,064"	"5,095"	"5,002"	"3,221"
Australia	334513	"13,174"	"10,633"	"10,972"	"16,204"	"27,039"	"35,442"	"19,539"	"15,074"	"11,780"	"13,755"
Australia	333993	"4,273"	"6,169"	"6,535"	"12,025"	"12,551"	"13,195"	"11,712"	"16,970"	"13,866"	"15,417"
Australia	111335	"14,683"	"19,115"	"19,408"	"22,894"	"13,452"	"9,194"	"14,092"	"33,124"	"26,722"	"17,007"
Australia	336350	"19,183"	"17,339"	"18,753"	"17,516"	"12,775"	"9,270"	"17,960"	"19,719"	"20,989"	"24,422"
Australia	311340	"4,854"	"3,951"	"5,068"	"10,762"	"8,902"	"8,598"	"9,544"	"8,406"	"7,964"	"9,080"
Australia	334413	"13,063"	"9,667"	"6,723"	"8,980"	"14,457"	"9,614"	"11,882"	"11,007"	"15,654"	"9,281"
Australia	331314	122	34	"1,049"	"2,144"	"2,976"	619	"1,519"	"3,114"	"5,773"	"6,629"
Australia	910000	"5,302"	"9,892"	"4,017"	"3,615"	"6,590"	"1,963"	"1,130"	"5,222"	"3,538"	"11,513"
Australia	333511	"3,961"	"4,746"	"7,296"	"10,154"	"7,601"	"5,757"	"7,111"	"8,447"	"3,198"	"3,882"
Australia	113210	"5,833"	"12,542"	"29,537"	"33,889"	"51,342"	"25,635"	"36,056"	"15,568"	"12,358"	"14,113"
Australia	334290	"3,875"	"5,695"	"6,580"	"10,620"	"8,303"	"6,693"	"6,207"	"5,032"	"7,758"	"9,162"
Australia	334418	"13,843"	"18,658"	"16,637"	"12,407"	"9,524"	"12,371"	"7,636"	"9,185"	"7,391"	"10,870"
Australia	325998	"6,091"	"6,192"	"5,700"	"6,690"	"4,014"	"3,491"	"4,031"	"4,578"	"6,524"	"6,870"
Australia	314110	"4,266"	"3,187"	"4,107"	"3,500"	"5,032"	"5,924"	"8,701"	"9,903"	"9,945"	"10,936"
Australia	112410	"83,790"	"67,512"	"28,554"	"29,470"	"18,095"	"16,021"	"11,381"	"11,738"	"12,675"	"14,748"
Australia	313230	"3,399"	"3,769"	"3,675"	"4,050"	"4,348"	"5,774"	"2,749"	"2,257"	"4,887"	"2,283"
Australia	112920	931	"18,550"	"95,260"	"95,656"	"22,937"	"5,590"	"5,181"	"3,444"	"20,828"	"6,711"
Australia	332992	748	"1,232"	"1,161"	"1,063"	"3,673"	"5,577"	"9,451"	"6,511"	"10,372"	"13,777"
Australia	114111	"12,188"	"30,279"	"31,572"	"21,671"	"20,643"	"23,177"	"19,558"	"18,328"	"22,536"	"15,165"
Australia	332919	158	522	370	"1,337"	"1,666"	"1,020"	"1,577"	"2,417"	"3,717"	"6,942"
Australia	332510	"4,949"	"6,107"	"8,729"	"7,050"	"7,936"	"8,492"	"8,521"	"7,127"	"7,354"	"9,677"
Australia	336330	"9,350"	"8,065"	"7,463"	"9,947"	"8,187"	"13,782"	"15,021"	"19,530"	"6,810"	"8,769"
Australia	311223	831	"1,001"	126	779	"1,733"	"1,812"	"3,435"	863	"3,330"	"12,105"
Australia	331492	"9,314"	"12,003"	"4,818"	"48,309"	"6,817"	"5,792"	"6,546"	"6,487"	"6,334"	"4,464"
Australia	114119	"4,384"	"2,467"	"2,900"	"10,428"	"9,463"	"7,555"	"4,468"	"5,235"	"8,885"	"17,401"
Australia	33631X	"3,326"	"4,537"	"3,847"	"5,336"	"5,871"	"5,750"	"6,612"	"13,824"	"21,372"	"16,093"
Australia	212399	"1,363"	"2,398"	"2,853"	"3,114"	"1,979"	"1,396"	"2,545"	"2,418"	"3,604"	"3,212"
Australia	327992	"3,456"	"13,348"	"12,325"	"15,265"	"11,586"	"11,641"	"6,383"	"3,873"	"6,982"	"6,974"
Australia	339115	"2,893"	"3,306"	"6,518"	"7,541"	"12,262"	"8,362"	"4,132"	"7,062"	"7,865"	"7,437"
Australia	335312	"17,399"	"18,141"	"20,972"	"21,037"	"35,012"	"20,090"	"15,986"	"15,290"	"12,449"	"19,365"
Australia	333612	"1,169"	"1,096"	"1,786"	"2,024"	"1,486"	"2,006"	"4,573"	"9,338"	"7,259"	"6,382"
Australia	334310	"6,400"	"6,224"	"3,041"	"5,412"	"5,202"	"4,981"	"4,370"	"4,461"	"8,236"	"8,673"
Australia	323119	"21,244"	"6,576"	"7,504"	"9,242"	"10,418"	"8,940"	"9,876"	"8,913"	"10,853"	"11,245"
Australia	333298	17	"1,634"	"1,705"	78	737	91	"1,346"	"1,652"	"1,240"	"2,629"
Australia	334220	"6,759"	"7,236"	"10,635"	"16,423"	"21,581"	"11,666"	"16,089"	"21,154"	"14,822"	"17,945"
Australia	311111	445	189	496	117	22	30	"1,039"	"1,452"	304	"2,113"
Australia	333996	932	472	389	942	"1,110"	"3,422"	"6,763"	"8,435"	"10,120"	"10,799"
Australia	333911	"4,951"	"4,463"	"4,540"	"6,584"	"8,203"	"9,915"	"10,252"	"11,114"	"11,272"	"8,157"
Australia	333294	"9,205"	"7,147"	"12,560"	"12,450"	"15,871"	"8,342"	"19,755"	"15,035"	"10,932"	"12,059"
Australia	212112	"3,866"	"2,955"	"4,401"	"4,841"	"11,371"	"31,634"	"11,222"	"12,394"	"11,204"	"12,931"
Australia	333611	984	"1,590"	"7,017"	"17,553"	"6,725"	"6,286"	"2,218"	"14,306"	"14,202"	"10,423"
Australia	337127	"6,835"	"6,193"	"6,139"	"9,041"	"11,759"	"10,769"	"13,739"	"12,270"	"10,862"	"10,979"
Australia	334419	"3,208"	"7,749"	"5,996"	"9,746"	"6,334"	"11,260"	"6,621"	"6,132"	"5,658"	"7,092"
Australia	323117	"8,910"	"10,201"	"10,316"	"9,561"	"9,887"	"9,545"	"8,748"	"10,875"	"9,101"	"6,904"
Australia	339920	"8,421"	"7,635"	"4,750"	"5,801"	"4,949"	"6,197"	"6,715"	"6,953"	"9,525"	"15,654"
Australia	335929	"1,799"	"3,266"	"1,504"	"1,244"	"1,741"	"4,758"	"7,078"	"5,926"	"6,442"	"4,063"
Australia	333613	"6,369"	"6,610"	"7,237"	"7,305"	"6,079"	"6,312"	"6,985"	"6,260"	"9,423"	"13,821"
Australia	325920	"4,207"	"3,914"	"4,252"	"4,471"	"3,619"	"4,043"	"4,545"	"3,236"	"4,294"	"4,544"
Australia	31181X	"1,811"	"1,328"	"1,184"	"1,581"	"1,508"	"3,850"	"3,648"	"3,774"	"6,019"	"8,119"
Australia	111320	"1,187"	"2,244"	"3,992"	"4,166"	"6,188"	"4,710"	"5,181"	"6,544"	"7,608"	"5,052"
Australia	335313	703	617	777	"5,257"	"4,326"	"3,620"	"3,400"	"2,356"	"4,873"	"4,241"
Australia	339114	"1,980"	"2,707"	"2,638"	"2,765"	"3,786"	"3,614"	"5,095"	"6,746"	"5,834"	"4,635"
Australia	333513	"2,426"	"4,731"	"1,984"	"3,087"	"2,818"	"2,248"	"4,602"	"2,682"	"4,681"	"7,134"
Australia	333515	"1,881"	"1,384"	"1,165"	999	"1,164"	"1,494"	593	660	"1,476"	"1,930"
Australia	337215	"2,967"	"3,547"	"3,002"	"2,596"	"2,667"	"3,074"	"2,103"	"2,438"	"2,807"	"4,678"
Australia	326299	"4,442"	"3,509"	"4,044"	"4,466"	"3,524"	"2,520"	"3,474"	"4,696"	"4,860"	"6,027"
Australia	316213	"1,622"	"2,044"	"1,878"	"3,122"	"2,295"	"3,047"	"3,840"	"4,106"	"3,261"	"3,752"
Australia	332212	"2,124"	"4,670"	"5,956"	"4,401"	"8,065"	"2,487"	"3,052"	"4,223"	"4,941"	"7,588"
Australia	333314	"3,993"	"7,506"	"21,103"	"51,586"	"59,372"	"5,132"	"5,607"	"3,501"	"5,187"	"3,155"
Australia	332722	"2,612"	"2,243"	"3,710"	"3,137"	"2,392"	"2,699"	"4,890"	"6,891"	"6,943"	"7,849"
Australia	336412	"7,129"	"5,562"	"5,810"	"3,322"	"3,668"	"9,434"	"3,155"	"3,340"	"11,471"	"4,269"
Australia	332611	"1,652"	"3,174"	"3,981"	"5,513"	"3,872"	"5,109"	"5,869"	"5,795"	"7,519"	"7,325"
Australia	335314	"7,663"	"8,051"	"7,170"	"7,530"	"1,923"	"1,561"	"2,627"	"3,376"	"9,295"	"19,019"
Australia	335211	315	157	467	555	"1,449"	"11,719"	"16,168"	"15,016"	"7,213"	"3,013"
Australia	336360	"2,131"	"1,250"	300	85	212	649	"1,154"	"1,622"	"1,969"	"1,537"
Australia	327112	"1,772"	"1,626"	"1,561"	"2,129"	"1,991"	"1,639"	"1,741"	"3,799"	"4,089"	"4,711"
Australia	311941	46	93	238	210	240	760	520	"1,141"	"2,318"	"2,881"
Australia	333415	"2,423"	"5,315"	"7,568"	"4,835"	"5,575"	"3,538"	"2,452"	"4,721"	"2,653"	"5,294"
Australia	112990	659	433	543	513	433	603	727	889	"1,672"	"3,524"
Australia	333994	"1,096"	"1,470"	"1,339"	"1,265"	"4,033"	844	"2,617"	695	"2,564"	"1,551"
Australia	334111	"11,000"	"13,987"	"12,200"	"5,675"	"4,285"	"3,610"	"2,603"	"3,361"	"5,900"	"4,927"
Australia	111120	"2,531"	"4,231"	"3,153"	"2,018"	"2,498"	"3,169"	"2,809"	"2,667"	"3,761"	"3,415"
Australia	334613	"1,306"	"3,459"	"1,319"	"1,870"	"2,884"	"3,935"	"3,179"	"3,336"	"5,021"	"3,085"
Australia	333313	"2,596"	"5,011"	"2,955"	"4,275"	"8,031"	"3,588"	"4,073"	"3,153"	"3,171"	"4,813"
Australia	313320	184	"1,351"	"1,455"	"1,213"	467	558	986	"1,524"	"1,936"	"2,256"
Australia	333220	"1,246"	"5,706"	"2,764"	"2,526"	"2,227"	"2,998"	"2,210"	"1,293"	"3,344"	"5,102"
Australia	326220	"1,437"	"6,912"	"9,241"	"6,965"	"6,477"	"6,582"	"7,170"	"9,401"	"4,915"	"6,144"
Australia	313210	"4,506"	"3,286"	"3,264"	"3,680"	"5,116"	"3,282"	"1,779"	"1,494"	"6,261"	"7,950"
Australia	333991	"4,534"	"4,166"	"5,319"	"4,091"	"4,404"	"3,696"	"3,380"	"5,141"	"4,822"	"5,918"
Australia	322224	0	0	0	0	128	5	0	86	0	3
Australia	333291	550	"3,181"	"4,921"	"2,339"	"2,082"	"2,983"	"2,866"	"8,413"	558	"1,432"
Australia	336411	419	859	"1,838"	"1,339"	"2,118"	"5,305"	"3,249"	"5,977"	"8,257"	"4,743"
Australia	316110	"18,480"	"10,530"	"11,595"	"16,675"	"21,426"	"13,173"	"7,539"	"1,805"	"1,988"	"1,214"
Australia	313249	"3,633"	"3,785"	"4,221"	"4,543"	"6,681"	"4,428"	"8,400"	"8,734"	"8,794"	"3,576"
Australia	333995	"1,012"	"1,011"	"2,479"	725	567	573	769	"1,399"	"1,213"	"1,925"
Australia	313111	"3,560"	"6,383"	"4,765"	"4,284"	"7,359"	"4,842"	"2,998"	"2,409"	"1,764"	"2,140"
Australia	111130	"2,730"	"1,685"	"2,124"	"2,266"	"2,250"	"1,508"	"1,130"	"1,068"	881	"1,446"
Australia	326113	"1,052"	"1,003"	"1,892"	"1,804"	"1,860"	"1,603"	"2,525"	"1,083"	"2,654"	"1,810"
Australia	331511	143	653	524	711	873	361	963	"1,059"	"1,864"	"1,778"
Australia	333618	"2,689"	"5,475"	"8,824"	"5,698"	"10,388"	"16,659"	"22,593"	"13,473"	"8,095"	"5,402"
Australia	333922	"1,991"	"1,372"	"4,568"	"2,159"	"2,241"	"2,169"	"1,783"	"4,252"	"3,185"	"5,094"
Australia	333923	988	761	"1,123"	"1,412"	"1,000"	"1,723"	"1,084"	"1,103"	"1,809"	989
Australia	333924	"1,380"	"2,898"	"2,947"	"3,156"	"2,404"	"5,610"	"3,354"	"1,932"	"2,009"	"1,724"
Australia	332420	469	"3,918"	"1,159"	590	833	309	541	504	804	694
Australia	311512	"1,357"	"6,706"	"6,401"	"2,486"	"6,086"	"1,995"	900	"2,725"	"9,076"	"7,468"
Australia	334417	"2,705"	"3,584"	"2,124"	"4,122"	"2,405"	"2,776"	"2,902"	"2,617"	"2,739"	"3,902"
Australia	335129	396	675	582	711	"1,229"	"1,149"	"1,603"	"1,828"	"1,654"	"1,837"
Australia	333132	"1,138"	"1,355"	"1,523"	"1,287"	883	874	"3,929"	916	547	725
Australia	111422	"2,186"	"2,208"	"2,294"	"2,420"	"2,247"	"1,683"	"1,270"	"1,509"	"1,455"	"3,222"
Australia	339932	"1,860"	"2,360"	"2,086"	"2,166"	"1,755"	"3,385"	"2,865"	"2,967"	"3,177"	"3,476"
Australia	325510	535	535	719	"1,045"	"1,075"	818	"1,595"	"1,444"	"1,386"	"1,955"
Australia	322223	347	670	770	"1,512"	"1,183"	"1,183"	"3,547"	"4,180"	"5,223"	"2,618"
Australia	326211	"5,734"	"10,664"	"18,369"	"9,317"	"3,806"	"2,676"	"3,077"	"3,785"	"1,309"	"3,937"
Australia	325613	64	214	336	735	214	329	658	743	429	686
Australia	325611	342	585	768	"1,168"	"1,074"	"1,801"	"2,436"	"2,893"	"2,805"	"2,757"
Australia	332618	420	385	"1,167"	500	853	"1,303"	"2,211"	"2,123"	"1,984"	"1,879"
Australia	339991	"1,371"	"1,069"	"1,718"	"1,646"	"1,317"	"1,517"	"1,314"	"1,412"	"2,121"	"2,296"
Australia	327910	431	492	469	506	831	"1,483"	"2,238"	"2,824"	"3,967"	"4,195"
Australia	334612	"3,126"	"5,181"	"8,392"	"11,072"	"12,640"	"14,922"	"15,000"	"11,895"	"8,288"	"8,025"
Australia	327123	42	0	24	0	93	140	98	"1,130"	"1,093"	110
Australia	333293	"2,412"	"4,820"	941	886	747	"1,134"	"1,118"	610	816	"1,779"
Australia	333414	480	662	"3,636"	"3,398"	"3,188"	"3,901"	"2,995"	"3,525"	"4,000"	"2,325"
Australia	321219	"1,955"	"1,581"	"4,726"	"4,107"	"4,622"	"2,786"	"6,037"	"17,910"	"19,465"	"14,374"
Australia	332998	298	303	159	237	402	820	"2,591"	"3,320"	"4,563"	"3,800"
Australia	332995	67	"1,135"	660	100	65	"2,262"	774	525	"1,490"	378
Australia	333912	"6,474"	"5,300"	"4,634"	"4,504"	"4,399"	"2,076"	"2,275"	"2,279"	"2,882"	"2,166"
Australia	315239	"32,197"	"27,426"	"41,476"	"57,120"	"67,869"	"76,716"	"62,032"	"53,620"	"34,019"	"16,758"
Australia	321213	"1,807"	"2,489"	"2,146"	"5,169"	"4,828"	"5,130"	"4,993"	"6,741"	"7,182"	"4,696"
Australia	322222	376	333	253	345	596	622	"1,139"	"1,212"	"1,355"	"1,409"
Australia	311911	0	5	0	0	0	8	35	31	29	21
Australia	313312	"24,791"	"21,969"	"7,014"	"16,430"	"11,702"	"9,365"	"5,577"	"8,096"	"5,124"	"4,005"
Australia	314999	"3,377"	"4,690"	"3,365"	"1,895"	"1,587"	"1,412"	"1,338"	"1,966"	"2,126"	"1,457"
Australia	325212	298	393	209	549	852	436	760	"2,847"	"4,452"	"2,083"
Australia	312140	239	107	320	107	151	76	209	335	306	295
Australia	312120	865	818	450	705	493	709	543	657	928	"1,500"
Australia	339994	282	342	434	764	812	906	732	"1,204"	"1,372"	"1,727"
Australia	212322	"1,125"	"1,167"	"1,095"	"3,073"	"1,671"	"1,724"	"1,491"	"1,825"	"2,132"	"3,817"
Australia	321113	"2,650"	"2,233"	"1,649"	"1,181"	"1,721"	"2,109"	"1,805"	"3,010"	"2,740"	"3,462"
Australia	327390	19	0	77	242	707	507	478	465	"1,332"	799
Australia	315233	"3,083"	"2,024"	"2,680"	"3,092"	"2,593"	"2,267"	"1,110"	"1,330"	"1,568"	"1,827"
Australia	332312	393	393	"1,310"	613	222	"3,086"	"2,897"	"1,609"	"1,209"	"1,675"
Australia	311421	"9,800"	"5,143"	"6,029"	"2,325"	"3,799"	"3,975"	"1,653"	843	598	"7,396"
Australia	336214	183	48	100	55	535	581	647	837	"1,367"	544
Australia	111421	270	441	441	898	"1,028"	975	850	658	633	828
Australia	334518	145	96	119	161	175	208	134	127	192	468
Australia	336322	"12,457"	"13,910"	"16,337"	"15,267"	"11,596"	"8,188"	"5,230"	"6,377"	"5,099"	"5,331"
Australia	336321	"1,462"	"1,792"	"5,580"	"6,646"	"4,305"	"4,536"	"4,503"	"2,936"	"2,602"	"2,129"
Australia	325312	26	49	13	231	94	310	590	"1,009"	560	"1,072"
Australia	334112	"5,855"	"8,658"	"3,454"	"6,100"	"7,156"	"15,377"	"5,489"	"5,395"	"2,668"	"1,091"
Australia	336419	353	372	"2,522"	437	426	530	352	825	"4,940"	427
Australia	311711	"1,807"	"1,791"	"1,932"	"1,320"	715	"1,056"	837	630	776	"1,928"
Australia	112511	363	417	342	345	655	673	730	884	"1,757"	"1,459"
Australia	315228	"9,517"	"6,273"	"12,451"	"18,526"	"18,886"	"23,227"	"20,874"	"18,504"	"5,158"	"3,655"
Australia	325192	8	"17,339"	"6,928"	"19,280"	"17,319"	"12,034"	"17,134"	"11,952"	69	8
Australia	325520	109	434	328	478	537	"1,008"	984	"1,086"	"1,082"	"1,224"
Australia	334517	"1,262"	"1,099"	782	"1,812"	"2,023"	698	953	965	"1,400"	"1,522"
Australia	325222	301	794	962	413	187	257	285	157	90	936
Australia	314912	"1,153"	"3,498"	"3,171"	"3,050"	"3,503"	"2,458"	"1,210"	"1,326"	"1,157"	"1,006"
Australia	335931	423	169	519	581	"1,167"	520	479	"1,929"	"5,125"	"9,100"
Australia	333997	"1,387"	"1,558"	"1,343"	904	"1,117"	726	504	866	"1,290"	"1,239"
Australia	331222	"1,146"	"1,746"	"3,089"	"3,347"	"2,975"	"1,899"	"1,868"	"2,733"	"2,242"	"1,808"
Australia	333514	11	540	265	499	"2,311"	781	"1,095"	400	"3,761"	943
Australia	333992	"3,191"	"4,091"	"3,628"	"2,806"	"4,310"	"1,603"	"2,422"	"2,103"	"2,211"	"2,937"
Australia	339992	434	287	510	644	387	400	509	503	703	"1,054"
Australia	327212	"3,273"	"4,065"	"2,900"	"4,263"	"4,824"	"1,535"	"1,260"	"1,307"	"1,609"	"2,033"
Australia	327999	"2,080"	653	"2,628"	646	269	558	379	240	601	456
Australia	311320	357	272	273	331	369	473	862	"1,163"	"1,364"	688
Australia	333210	"1,496"	"2,073"	"5,823"	"3,129"	954	"2,243"	"2,047"	"2,136"	"1,733"	"2,424"
Australia	326122	"1,725"	941	861	797	798	982	781	528	434	736
Australia	334412	"2,419"	"1,730"	743	657	760	"1,400"	"1,044"	"1,139"	975	"1,717"
Australia	311919	130	281	259	343	135	595	580	355	414	654
Australia	333292	"1,692"	"2,843"	"3,879"	"4,964"	"3,086"	"4,113"	"3,286"	"1,934"	"2,161"	"3,308"
Australia	335911	353	127	71	317	453	276	84	96	149	246
Australia	332991	"6,987"	"5,100"	"3,111"	475	409	321	726	611	735	967
Australia	327991	408	192	118	178	130	106	183	95	144	285
Australia	325131	"7,132"	"10,247"	"17,607"	156	767	"1,530"	456	"6,196"	"6,607"	"15,632"
Australia	315991	"3,202"	"3,676"	"4,587"	"4,529"	"3,357"	"2,138"	"1,731"	"1,748"	"1,481"	"1,245"
Australia	326160	363	982	621	562	553	336	933	377	"1,232"	904
Australia	312111	93	129	91	124	350	136	265	878	313	176
Australia	325311	9	0	166	113	311	310	205	312	214	"5,062"
Australia	315232	"24,955"	"25,970"	"57,671"	"65,526"	"81,456"	"107,815"	"93,716"	"109,772"	"58,341"	"15,038"
Australia	311823	105	169	248	238	166	260	793	"1,305"	"2,178"	"2,100"
Australia	335110	702	300	358	329	345	567	576	538	388	621
Australia	311942	365	368	547	612	650	"1,013"	611	591	509	837
Australia	333412	43	55	66	124	230	28	272	247	118	140
Australia	327993	164	204	231	314	196	113	146	110	376	330
Australia	335991	132	53	91	28	62	221	199	193	146	266
Australia	112910	"1,929"	297	536	175	564	"2,939"	363	"1,866"	553	942
Australia	311615	94	51	64	179	136	904	"1,965"	439	426	607
Australia	111199	7	14	"4,367"	50	74	28	12	7	12	64
Australia	332912	191	134	495	271	184	198	484	414	421	544
Australia	335912	48	99	108	423	118	98	127	205	127	24
Australia	311520	0	0	0	0	0	0	0	0	0	0
Australia	314991	62	37	57	572	728	289	131	74	687	466
Australia	321920	4	54	126	206	510	216	235	231	524	636
Australia	311930	6	0	16	0	70	70	0	11	157	52
Australia	335932	26	139	61	342	258	291	82	30	27	23
Australia	332410	615	233	296	245	80	816	776	"4,867"	834	"1,183"
Australia	335221	"7,662"	"8,237"	"9,265"	"10,839"	"11,500"	"10,421"	"6,236"	"2,539"	"2,079"	"2,090"
Australia	333311	83	33	432	282	76	358	213	227	302	226
Australia	332115	185	270	165	78	133	337	36	16	35	8
Australia	335228	"2,627"	"1,650"	"6,065"	"5,185"	"3,411"	"8,712"	"8,196"	"6,047"	"1,688"	896
Australia	335921	556	222	"1,318"	"11,467"	"6,563"	406	571	409	408	314
Australia	314129	"12,009"	"9,983"	"16,124"	"11,708"	"11,077"	"4,051"	"4,060"	"4,072"	"2,371"	540
Australia	111219	"1,774"	"2,818"	"1,285"	"1,255"	"1,239"	944	601	"1,067"	746	922
Australia	322233	42	19	73	20	125	89	14	120	6	6
Australia	331316	46	32	40	431	259	405	231	"1,022"	978	317
Australia	321999	343	311	305	779	225	973	"1,320"	"1,006"	571	751
Australia	335311	110	43	110	"4,918"	784	"8,529"	"6,714"	"1,541"	686	227
Australia	111339	934	179	277	268	188	25	35	404	333	465
Australia	336120	0	27	851	27	547	281	376	150	235	218
Australia	315999	229	665	555	386	989	679	471	337	441	416
Australia	322299	87	165	105	392	413	333	895	243	373	743
Australia	331315	"2,818"	"6,571"	"4,144"	"5,836"	240	373	387	201	"1,217"	760
Australia	315234	"5,541"	"2,234"	"2,259"	"2,488"	"5,733"	"2,620"	"1,372"	"2,001"	"1,256"	938
Australia	334514	69	170	271	386	530	"1,009"	"1,036"	603	677	"1,290"
Australia	334416	69	40	96	120	148	97	306	290	274	127
Australia	322212	25	74	61	20	25	123	21	64	66	61
Australia	333913	46	72	94	"4,038"	"4,272"	122	264	280	625	465
Australia	315292	"3,604"	"3,593"	"3,113"	"3,748"	"2,854"	"1,898"	"1,940"	"1,195"	665	544
Australia	332213	528	509	637	449	328	314	459	202	117	189
Australia	321918	742	717	"1,920"	"1,085"	"1,260"	"1,511"	"2,611"	"2,220"	"1,333"	"1,058"
Australia	333921	329	697	265	38	137	706	"1,450"	"1,369"	672	851
Australia	339942	306	498	265	306	352	137	200	153	145	284
Australia	316999	"1,478"	"2,226"	"1,718"	"1,375"	"1,597"	937	926	993	"1,189"	"1,164"
Australia	311211	194	267	223	257	264	155	202	184	482	224
Australia	327125	818	"8,265"	193	309	477	378	469	604	318	433
Australia	337211	6	204	19	275	166	"1,383"	535	392	475	"1,094"
Australia	11211X	575	268	250	146	59	108	190	275	410	479
Australia	325612	188	126	145	162	130	164	393	235	763	308
Australia	322291	16	14	0	3	971	"2,583"	465	5	192	68
Australia	1123XX	0	0	44	143	215	276	283	429	330	414
Australia	212393	648	"1,657"	751	173	"1,252"	"1,865"	"2,259"	247	433	163
Australia	334512	41	84	29	165	299	7	46	510	82	110
Australia	323118	683	162	258	182	477	583	408	465	520	391
Australia	321992	0	0	0	5	0	48	0	0	0	417
Australia	331421	"9,011"	"10,180"	"10,701"	"15,721"	"10,550"	"5,864"	"5,182"	"7,270"	"5,949"	"1,372"
Australia	336211	52	94	28	157	160	232	392	327	132	213
Australia	335212	186	59	28	120	198	277	699	707	278	505
Australia	335121	12	2	36	112	68	83	89	81	119	379
Australia	316991	147	266	232	614	260	534	314	291	381	679
Australia	332211	154	241	172	727	879	85	233	142	191	128
Australia	511210	"10,209"	"5,050"	"1,512"	"1,005"	"1,102"	991	809	713	701	394
Australia	313221	154	262	385	725	569	925	800	737	648	420
Australia	337214	27	46	367	"1,096"	318	59	411	155	67	213
Australia	315223	"1,203"	"5,494"	"11,914"	"23,363"	"34,185"	"21,590"	"21,144"	"22,511"	"11,002"	639
Australia	311511	185	0	0	288	312	301	551	216	"4,671"	500
Australia	325193	22	24	175	92	64	379	228	246	119	5
Australia	327211	175	421	215	227	587	726	335	96	120	477
Australia	336370	138	444	251	439	299	407	378	428	280	400
Australia	315224	398	432	"1,063"	"1,207"	"1,317"	866	455	191	366	505
Australia	311230	39	25	0	30	12	8	4	23	87	34
Australia	337920	0	7	159	27	6	46	46	78	6	42
Australia	311423	583	418	364	542	265	237	300	226	87	"1,506"
Australia	335224	713	121	25	42	278	161	68	201	269	"2,111"
Australia	333319	178	75	352	458	585	653	452	"1,528"	123	"2,355"
Australia	325132	"2,524"	22	59	76	62	150	121	141	21	91
Australia	315221	36	83	35	102	39	43	36	58	295	179
Australia	113310	31	34	113	"1,364"	"1,810"	749	563	462	361	311
Australia	336992	3	20	82	3	153	596	141	193	"1,228"	"1,440"
Australia	315231	"2,739"	"3,751"	"3,119"	"2,929"	"1,704"	484	149	170	283	268
Australia	336611	462	65	"3,141"	47	436	561	416	"2,225"	75	65
Australia	332311	827	172	672	265	211	66	220	55	233	917
Australia	316993	272	210	84	90	117	94	112	84	123	153
Australia	332323	58	26	3	15	38	128	76	92	245	5
Australia	339950	16	74	44	90	655	517	400	733	67	148
Australia	322211	48	113	182	109	65	92	54	117	147	88
Australia	336212	6	23	36	246	229	103	27	165	"1,252"	98
Australia	311222	39	37	86	487	277	333	"1,387"	"8,968"	22	25
Australia	212221	630	117	520	392	146	214	296	151	346	486
Australia	337124	166	124	69	78	252	409	142	94	50	633
Australia	339914	48	168	404	233	230	575	358	375	535	602
Australia	327111	38	61	230	355	516	719	861	699	502	179
Australia	325110	0	"22,214"	"11,494"	"31,532"	"22,857"	"57,508"	"51,515"	"25,710"	"1,578"	0
Australia	321211	385	598	706	639	65	260	349	436	828	470
Australia	311920	17	98	45	66	143	364	409	451	705	284
Australia	327331	0	0	0	0	4	96	74	7	0	0
Australia	315291	11	59	118	104	150	96	434	285	170	96
Australia	333411	32	54	202	184	303	623	627	118	222	510
Australia	334415	9	20	190	615	689	83	27	642	146	281
Australia	316219	305	314	520	752	430	367	535	744	459	235
Australia	327122	301	248	89	67	59	91	139	236	121	288
Australia	325992	"7,168"	"3,727"	"1,027"	"4,801"	658	899	368	315	96	"1,187"
Australia	316214	"2,265"	"5,611"	"3,962"	"1,846"	"1,164"	"1,756"	"2,499"	620	701	661
Australia	337121	46	72	66	96	200	213	113	26	40	114
Australia	312112	5	9	0	0	25	0	0	0	0	2
Australia	326191	4	31	38	8	8	35	47	28	89	143
Australia	311225	15	0	0	0	24	55	0	290	217	110
Australia	311822	21	0	0	0	53	78	15	52	211	772
Australia	316992	"1,479"	"1,310"	303	59	192	57	147	137	74	44
Australia	336391	"1,023"	"1,236"	"3,239"	"2,709"	"1,644"	"1,896"	"2,279"	"2,285"	739	430
Australia	325120	6	51	54	120	137	119	62	83	45	43
Australia	322122	"1,932"	235	131	"1,426"	"2,453"	"1,385"	"1,742"	765	170	88
Australia	311119	390	189	"1,905"	"2,318"	"1,684"	256	860	643	680	508
Australia	332994	80	"1,431"	"1,260"	229	275	844	"1,246"	"1,218"	659	962
Australia	333516	691	61	192	"5,458"	5	186	38	0	31	0
Australia	325910	452	827	256	105	70	36	69	54	62	9
Australia	337129	392	833	"2,845"	"2,529"	"3,473"	"2,613"	"3,004"	"2,610"	"2,497"	"2,864"
Australia	332321	353	20	170	115	219	493	645	175	182	222
Australia	31511X	451	659	764	"1,140"	685	690	967	860	"1,200"	894
Australia	321911	23	58	11	638	"1,227"	241	56	409	48	21
Australia	332439	314	175	98	316	"1,500"	"1,436"	"1,370"	51	78	29
Australia	312113	186	673	151	18	13	0	3	3	10	37
Australia	334414	29	107	84	105	232	164	195	455	502	272
Australia	339912	111	25	46	74	173	220	97	86	185	65
Australia	315222	520	"1,187"	"1,417"	721	"1,121"	646	298	72	225	635
Australia	322215	0	0	0	39	7	0	8	18	51	59
Australia	111411	0	0	0	0	0	0	0	0	5	0
Australia	316211	1	4	16	13	32	12	39	7	4	66
Australia	331422	22	10	54	78	25	63	2	58	56	163
Australia	212325	0	62	81	12	17	15	21	7	0	0
Australia	339993	47	44	113	22	39	34	52	93	68	83
Australia	325191	10	"8,323"	"5,196"	"4,114"	"4,992"	"2,938"	"6,497"	"7,602"	"2,633"	"1,350"
Australia	326212	0	11	80	1	2	0	0	48	1	1
Australia	323122	0	2	56	9	29	15	51	38	20	33
Australia	327213	46	50	170	113	32	51	46	22	146	73
Australia	337910	9	30	0	9	8	0	158	200	5	17
Australia	332322	0	38	0	0	3	44	17	172	179	11
Australia	333295	440	258	550	873	169	"1,654"	"1,901"	"1,451"	659	807
Australia	339941	32	82	52	90	274	40	56	11	44	63
Australia	339943	108	0	11	16	3	3	0	10	142	4
Australia	332997	0	4	0	17	2	10	7	83	68	177
Australia	334411	7	78	617	37	100	28	111	10	197	20
Australia	326121	0	90	118	34	68	115	35	12	47	24
Australia	314911	3	1	118	1	56	5	7	9	36	46
Australia	316212	560	654	750	600	"1,019"	"1,022"	831	725	607	39
Australia	327113	162	33	26	44	165	189	2	14	46	128
Australia	327124	697	66	80	"6,326"	33	65	123	170	128	16
Australia	331319	2	4	43	49	13	53	0	21	8	167
Australia	326192	33	128	398	632	344	"1,157"	440	424	497	538
Australia	212319	9	21	14	31	42	48	0	19	156	0
Australia	212311	335	316	26	3	12	0	4	111	154	460
Australia	325221	121	0	0	2	0	37	0	120	2	27
Australia	325181	0	0	0	9	0	0	60	26	16	3
Australia	314121	"1,396"	894	921	204	45	191	44	14	1	"1,507"
Australia	324122	0	0	0	0	0	0	0	0	35	0
Australia	322213	2	7	0	0	0	0	0	22	6	5
Australia	212324	0	8	11	8	30	29	5	0	0	0
Australia	315993	27	46	25	10	2	16	4	9	1	1
Australia	315992	273	175	27	12	32	25	65	175	361	7
Australia	322232	4	10	0	10	7	3	2	0	2	41
Australia	321212	0	31	253	777	521	851	38	261	289	"5,306"
Australia	312221	0	0	0	0	0	0	0	0	0	0
Australia	314992	0	0	0	4	19	0	32	0	2	46
Australia	111140	1	0	0	0	63	0	0	0	0	0
Australia	111910	0	0	5	0	0	62	0	0	48	0
Australia	339944	29	177	286	38	56	23	0	2	8	10
Australia	339931	105	158	130	729	48	99	213	114	126	277
Australia	337110	6	11	0	0	110	7	162	161	61	24
Australia	336415	8	59	158	0	0	0	0	0	0	0
Australia	332431	70	48	87	69	67	147	114	142	215	190
Australia	332214	21	6	0	66	0	34	19	0	13	0
Australia	331411	28	53	2	83	63	0	4	273	77	0
Australia	327420	9	0	23	16	0	50	0	0	0	18
Australia	327410	0	0	43	91	94	67	93	17	0	0
Australia	327310	"2,692"	"3,986"	"8,520"	"4,305"	"3,294"	17	6	0	37	0
Australia	327121	0	0	153	39	6	64	16	4	18	0
Australia	326112	0	0	0	1	0	10	0	0	0	0
Australia	312229	0	0	3	0	0	0	0	0	0	0
Australia	311422	0	0	0	0	0	90	132	0	0	2
Australia	311411	258	301	19	2	5	55	0	6	10	8
Australia	311213	0	0	3	0	0	0	0	0	0	0
Australia	311212	0	140	"2,300"	0	"9,100"	"12,293"	6	0	0	0
Australia	212392	0	0	31	20	0	0	0	0	0	0
Australia	212234	"10,712"	0	0	"1,439"	0	0	0	0	0	0
Australia	212231	"11,096"	770	"5,679"	"11,395"	"9,840"	"15,885"	"15,294"	"11,095"	"6,310"	"3,628"
Australia	212210	"6,204"	"6,850"	"8,427"	"6,181"	"4,843"	"5,386"	"1,109"	24	11	135
Australia	313113	0	194	172	4	0	0	1	4	3	9
Australia	212113	0	0	0	0	0	0	4	0	0	0
Australia	112930	2	7	30	44	21	3	0	0	0	1
Australia	112512	0	3	0	0	0	0	0	0	0	0
Australia	112420	35	0	0	0	0	183	141	14	54	0
Australia	112210	16	11	19	0	0	0	23	0	0	0
Australia	111992	0	0	0	157	0	0	0	0	0	0
Australia	111991	0	0	0	0	0	0	0	0	26	35
Australia	111920	"7,480"	"12,263"	"30,480"	"38,759"	"38,343"	"31,898"	"3,807"	"2,885"	"1,309"	10
Australia	325182	60	0	0	55	0	0	0	0	3	17
Australia	324121	0	39	39	18	15	0	0	0	0	3
Australia	323116	0	0	0	0	0	3	0	0	0	0
Australia	322214	0	17	0	0	4	0	0	0	240	62
Australia	322110	0	8	282	6	4	0	5	0	7	0
Australia	321991	0	0	0	0	0	0	0	0	0	40
Australia	321114	0	2	5	6	0	0	35	0	3	2
Australia	111150	0	0	0	4	0	0	0	0	0	0
Australia	111333	152	393	233	"1,158"	309	594	17	95	0	0
Australia	111334	0	0	0	0	4	0	0	0	0	0
Australia	111331	0	0	0	165	196	139	0	0	0	0
Australia	111211	0	187	0	0	0	0	0	0	0	0
Austria	336111	120	"1,795"	"3,279"	"58,927"	"653,850"	"306,450"	"520,210"	"1,244,314"	"617,773"	"1,503,559"
Austria	331111	"87,890"	"105,544"	"68,471"	"128,406"	"133,340"	"107,011"	"127,243"	"199,989"	"352,156"	"424,637"
Austria	325412	"84,978"	"19,466"	"144,113"	"137,892"	"182,363"	"341,756"	"448,439"	"325,322"	"301,208"	"344,178"
Austria	333120	"30,034"	"40,398"	"63,482"	"74,046"	"91,190"	"100,655"	"127,432"	"160,894"	"182,153"	"213,979"
Austria	312111	"4,286"	"6,325"	"14,621"	"48,001"	"91,573"	"84,673"	"184,921"	"335,437"	"442,207"	"760,502"
Austria	325414	"35,309"	"44,704"	"62,350"	"77,741"	"74,647"	"151,541"	"91,556"	"129,099"	"173,112"	"195,098"
Austria	339911	"9,559"	"11,342"	"31,834"	"6,422"	"2,092"	"14,354"	"36,806"	"41,873"	"37,728"	"40,743"
Austria	990000	"30,015"	"40,561"	"55,157"	"59,645"	"81,281"	"84,441"	"88,686"	"106,075"	"113,664"	"150,389"
Austria	334413	"65,449"	"79,950"	"79,900"	"53,462"	"32,344"	"24,941"	"26,449"	"32,617"	"30,246"	"31,160"
Austria	339914	"43,883"	"43,099"	"63,839"	"80,186"	"86,598"	"66,044"	"72,513"	"94,205"	"131,371"	"158,270"
Austria	336991	"15,663"	"23,128"	"25,106"	"35,260"	"54,849"	"66,844"	"67,400"	"63,870"	"79,863"	"100,010"
Austria	333999	"39,019"	"47,961"	"54,586"	"72,493"	"58,519"	"78,902"	"77,450"	"74,507"	"87,770"	"77,660"
Austria	336413	"19,636"	"29,430"	"28,503"	"37,420"	"38,644"	"27,349"	"34,401"	"83,166"	"113,928"	"116,063"
Austria	335311	"15,012"	"19,119"	"34,043"	"26,209"	"56,871"	"48,695"	"85,300"	"60,698"	"60,774"	"101,291"
Austria	332510	"57,458"	"68,057"	"68,832"	"69,009"	"68,050"	"84,023"	"98,535"	"126,678"	"139,386"	"143,982"
Austria	333618	"49,962"	"57,178"	"55,602"	"32,759"	"26,001"	"35,847"	"62,278"	"62,520"	"64,795"	"69,875"
Austria	332994	"43,555"	"44,133"	"54,460"	"54,744"	"46,258"	"56,132"	"57,968"	"70,629"	"82,106"	"90,481"
Austria	322121	"48,658"	"49,324"	"50,149"	"69,628"	"76,232"	"95,916"	"89,095"	"73,119"	"70,872"	"105,743"
Austria	331315	"15,518"	"22,583"	"17,906"	"25,962"	"24,267"	"25,591"	"28,267"	"32,435"	"52,017"	"71,603"
Austria	920000	"19,847"	"17,309"	"70,471"	"28,803"	"99,446"	"29,355"	"30,943"	"40,236"	"60,301"	"183,571"
Austria	325411	"49,862"	"47,458"	"37,260"	"29,269"	"36,932"	"48,010"	"70,214"	"57,220"	"123,690"	"128,102"
Austria	333220	"51,619"	"63,078"	"58,230"	"60,568"	"46,162"	"57,514"	"62,423"	"68,906"	"90,281"	"110,107"
Austria	339113	"2,693"	"13,967"	"24,701"	"44,239"	"60,239"	"78,537"	"58,229"	"80,689"	"60,565"	"78,344"
Austria	334510	"7,307"	"10,418"	"6,891"	"12,093"	"19,134"	"65,606"	"86,605"	"75,475"	"67,795"	"63,037"
Austria	325199	"59,869"	"57,469"	"55,838"	"46,238"	"51,524"	"59,070"	"63,035"	"72,033"	"80,584"	"62,161"
Austria	336399	"22,084"	"28,233"	"24,655"	"28,454"	"47,028"	"39,447"	"45,764"	"48,711"	"68,028"	"67,417"
Austria	327212	"67,844"	"75,842"	"80,189"	"78,809"	"66,707"	"72,471"	"78,792"	"102,400"	"100,901"	"91,336"
Austria	326199	"13,702"	"16,190"	"19,189"	"27,280"	"29,689"	"19,875"	"25,732"	"32,973"	"39,909"	"61,462"
Austria	333513	"22,355"	"25,145"	"24,541"	"29,166"	"28,622"	"12,327"	"15,311"	"17,945"	"21,587"	"42,920"
Austria	333922	"1,971"	"1,953"	"8,077"	"5,937"	"12,161"	"8,983"	"24,447"	"39,191"	"45,406"	"27,347"
Austria	333511	"5,543"	"3,111"	"6,828"	"3,574"	"5,554"	"8,337"	"13,545"	"10,858"	"15,120"	"40,576"
Austria	980000	"39,958"	"33,554"	"54,028"	"67,714"	"28,852"	"30,142"	"52,359"	"33,737"	"77,417"	"58,159"
Austria	335312	"20,752"	"23,242"	"52,601"	"94,755"	"172,958"	"98,690"	"45,435"	"33,362"	"33,917"	"35,571"
Austria	325221	"13,030"	"8,855"	"7,139"	"3,993"	"3,643"	"4,106"	"3,685"	"5,518"	"15,742"	"27,914"
Austria	334515	"11,641"	"12,873"	"11,892"	"8,789"	"9,485"	"12,523"	"16,232"	"27,848"	"33,927"	"36,245"
Austria	334419	"63,742"	"77,834"	"88,077"	"77,726"	"41,517"	"20,166"	"10,760"	"14,805"	"20,614"	"31,446"
Austria	334516	"9,188"	"10,032"	"16,764"	"17,327"	"16,776"	"22,425"	"24,736"	"28,914"	"28,231"	"30,465"
Austria	325211	"6,000"	"4,706"	"6,717"	"31,595"	"33,009"	"40,222"	"41,533"	"15,227"	"40,099"	"44,073"
Austria	332999	"10,187"	"12,099"	"14,810"	"17,621"	"8,826"	"7,614"	"10,205"	"15,207"	"28,043"	"32,559"
Austria	331491	"12,967"	"13,475"	"10,490"	"14,940"	"19,582"	"11,133"	"11,218"	"19,647"	"22,400"	"20,120"
Austria	339920	"54,542"	"52,738"	"48,451"	"48,143"	"55,100"	"57,461"	"61,142"	"62,030"	"47,830"	"50,304"
Austria	339115	"23,706"	"23,178"	"21,025"	"26,249"	"36,898"	"40,802"	"47,367"	"41,425"	"39,380"	"42,932"
Austria	339114	"4,036"	"4,453"	"5,010"	"5,865"	"10,788"	"14,401"	"16,895"	"23,066"	"31,478"	"36,168"
Austria	333613	"7,645"	"6,331"	"7,554"	"9,272"	"9,081"	"8,706"	"9,395"	"13,263"	"20,442"	"19,644"
Austria	332911	"55,627"	"44,387"	"38,479"	"37,091"	"33,031"	"28,835"	"20,671"	"18,531"	"29,958"	"30,901"
Austria	336510	"6,640"	"11,886"	"11,647"	"16,403"	"16,696"	"10,195"	"14,532"	"23,691"	"33,711"	"48,978"
Austria	333611	"3,675"	"2,993"	"14,267"	"15,080"	"17,942"	"16,911"	"14,689"	"16,708"	"17,297"	"20,051"
Austria	333921	"10,798"	"18,032"	"7,626"	"9,598"	"6,893"	"7,734"	"11,683"	"16,893"	"17,947"	"19,959"
Austria	333313	"2,757"	"1,031"	"1,464"	"1,786"	"2,593"	"2,837"	"2,807"	"2,318"	"2,957"	"2,766"
Austria	333512	"8,791"	"12,188"	"10,973"	"18,707"	"14,561"	"18,224"	"12,296"	"19,782"	"13,034"	"23,643"
Austria	333131	"2,347"	"11,109"	"17,504"	"9,284"	"12,154"	"16,194"	"11,118"	"21,072"	"19,831"	"27,092"
Austria	332991	"13,520"	"11,539"	"8,817"	"13,649"	"13,007"	"11,789"	"9,720"	"14,443"	"19,341"	"26,231"
Austria	333291	"3,543"	"19,719"	"29,454"	"12,488"	"6,767"	"3,190"	"14,981"	"18,060"	"8,553"	"30,073"
Austria	333924	"4,942"	"8,206"	"7,369"	"5,366"	"11,742"	"1,853"	"5,202"	"12,330"	"12,397"	"25,090"
Austria	326160	103	47	293	187	"2,661"	"5,018"	"8,040"	"7,965"	"7,629"	"5,796"
Austria	327910	"18,198"	"19,423"	"25,017"	"26,458"	"21,431"	"19,780"	"17,779"	"24,054"	"31,310"	"31,419"
Austria	333415	"2,868"	"4,182"	"4,163"	"8,651"	"5,528"	"8,716"	"8,433"	"6,658"	"25,859"	"22,137"
Austria	325188	"4,637"	"5,497"	"6,981"	"6,847"	"9,038"	"8,411"	"19,227"	"22,294"	"29,331"	"23,276"
Austria	333314	"13,314"	"13,635"	"13,308"	"18,358"	"17,170"	"24,857"	"34,591"	"33,646"	"30,004"	"32,377"
Austria	910000	"3,105"	"4,622"	"4,394"	"5,908"	"7,654"	"4,180"	"2,597"	"8,694"	"21,796"	"18,312"
Austria	33631X	"19,724"	"16,632"	"17,302"	"24,505"	"24,874"	"17,411"	"14,609"	"10,227"	"16,337"	"19,828"
Austria	334119	"11,835"	"21,438"	"23,333"	"18,815"	"8,809"	"6,928"	"9,736"	"11,956"	"10,696"	"14,589"
Austria	336350	"6,703"	"11,686"	"23,089"	"15,509"	"14,157"	"11,785"	"13,099"	"10,243"	"14,877"	"19,177"
Austria	337215	"8,022"	"5,116"	"5,243"	"6,236"	"6,107"	"8,599"	"13,382"	"17,565"	"19,510"	"20,698"
Austria	333210	"20,026"	"24,941"	"26,796"	"24,408"	"22,519"	"19,245"	"17,906"	"20,688"	"23,968"	"30,028"
Austria	334517	"10,624"	"8,948"	"10,772"	"11,420"	"11,060"	"7,320"	"9,702"	"11,764"	"19,994"	"16,747"
Austria	332618	"7,353"	"6,050"	"6,169"	"6,576"	"7,864"	"7,329"	"7,406"	"9,583"	"13,175"	"13,266"
Austria	336412	"6,411"	"16,640"	"5,926"	"5,131"	"5,905"	"7,150"	"9,188"	"11,906"	"11,678"	"11,312"
Austria	333111	"4,793"	"6,858"	"5,478"	"4,975"	"6,541"	"4,985"	"7,948"	"10,960"	"10,750"	"8,867"
Austria	331222	"16,151"	"18,560"	"20,477"	"18,872"	"15,557"	"17,689"	"20,150"	"23,987"	"23,707"	"26,737"
Austria	331419	"4,825"	"12,288"	"25,777"	"42,854"	"7,047"	"3,314"	"1,983"	"1,753"	"1,053"	541
Austria	333911	"2,582"	"3,437"	"4,900"	"5,930"	"8,367"	"6,191"	"6,993"	"7,327"	"6,984"	"10,194"
Austria	333992	"8,930"	"7,938"	"14,764"	"21,411"	"10,271"	"11,819"	"9,181"	"13,646"	"10,965"	"17,638"
Austria	335314	"6,603"	"6,210"	"4,366"	"5,928"	"5,414"	"5,391"	"13,427"	"16,788"	"21,725"	"19,844"
Austria	333991	"2,568"	"5,188"	"3,593"	"6,779"	"18,756"	"19,623"	"20,085"	"20,949"	"20,995"	"22,430"
Austria	335222	"1,268"	"1,040"	603	708	6	"1,023"	26	"1,446"	813	"4,481"
Austria	331112	650	"3,278"	"2,967"	"2,999"	"1,509"	"2,094"	"1,890"	"6,180"	"7,489"	"6,660"
Austria	335999	"5,013"	"5,894"	"6,103"	"6,113"	"5,159"	"5,930"	"8,389"	"7,581"	"7,457"	"11,519"
Austria	332212	"10,730"	"12,366"	"11,602"	"14,014"	"9,571"	"13,126"	"12,750"	"17,288"	"19,992"	"20,269"
Austria	334519	"3,567"	"2,491"	"3,446"	"4,918"	"4,130"	"4,923"	"6,094"	"7,370"	"16,134"	"12,158"
Austria	332919	"2,721"	"3,422"	"3,129"	"6,864"	"6,366"	"4,774"	"3,383"	"3,922"	"6,567"	"9,203"
Austria	327992	"11,600"	"11,338"	"11,919"	"10,325"	"5,925"	"5,564"	"7,758"	"15,183"	"14,771"	"18,215"
Austria	325212	"7,640"	"11,193"	"12,570"	"10,858"	"9,739"	"12,694"	"11,760"	"11,047"	"15,698"	"14,893"
Austria	321219	"12,757"	"19,578"	"23,620"	"22,908"	"16,228"	"22,192"	"35,938"	"51,510"	"44,962"	"31,654"
Austria	333994	"9,000"	"11,798"	"19,275"	"23,782"	"25,492"	"14,477"	"13,404"	"14,194"	"22,642"	"29,475"
Austria	339999	"5,393"	"10,097"	"10,618"	"7,032"	"10,283"	"6,232"	"7,111"	"9,366"	"9,292"	"13,543"
Austria	339913	"6,719"	"8,274"	"9,868"	"9,181"	"3,952"	"4,913"	"1,782"	"4,319"	"5,659"	"3,121"
Austria	325222	"5,021"	"4,873"	"4,101"	"5,097"	"3,562"	"5,124"	"5,850"	"7,544"	"10,169"	"8,182"
Austria	333995	"2,653"	"4,259"	"3,220"	"2,721"	"2,784"	"2,241"	"4,106"	"8,013"	"8,129"	"9,865"
Austria	339112	"1,123"	"3,210"	"4,390"	"3,562"	"2,417"	"3,821"	"2,515"	"3,288"	"3,950"	"4,763"
Austria	321113	"11,454"	"27,764"	"47,528"	"45,767"	"51,408"	"75,818"	"72,631"	"157,033"	"168,878"	"94,749"
Austria	333292	"22,286"	"22,757"	"20,583"	"18,851"	"11,980"	"11,858"	"13,855"	"17,040"	"16,546"	"6,055"
Austria	333515	"4,774"	"6,630"	"7,379"	"8,239"	"7,450"	"9,837"	"11,051"	"11,242"	"10,769"	"16,002"
Austria	312130	748	"1,801"	"1,762"	"1,734"	"2,419"	"3,533"	"4,162"	"6,071"	"6,885"	"9,469"
Austria	339992	"5,738"	"7,253"	"8,584"	"10,979"	"10,996"	"10,975"	"11,013"	"13,517"	"11,485"	"12,022"
Austria	334310	"9,702"	"18,841"	"35,188"	"40,887"	"46,174"	"40,393"	"40,876"	"48,277"	"29,504"	"19,872"
Austria	334220	"4,476"	"7,109"	"4,121"	"4,627"	"4,408"	"4,057"	"5,243"	"7,689"	"10,491"	"9,825"
Austria	336321	"3,997"	"4,768"	"3,428"	"4,796"	"3,425"	"4,455"	"7,171"	"9,687"	"9,384"	"8,833"
Austria	332323	944	"2,257"	665	"3,259"	"10,022"	"8,250"	"9,893"	"13,015"	"33,370"	"17,565"
Austria	331312	0	"2,362"	12	354	263	691	670	"7,180"	"9,874"	"6,352"
Austria	333132	"20,060"	"22,803"	"10,901"	"20,779"	"3,309"	"2,797"	"1,460"	"1,488"	"4,846"	"5,941"
Austria	331511	"1,007"	"1,328"	"1,894"	"3,457"	"3,081"	"3,186"	"3,158"	"3,650"	"3,446"	"7,127"
Austria	336360	"1,186"	623	773	"1,322"	502	767	"1,934"	"1,946"	"3,533"	"3,258"
Austria	333912	"1,195"	885	"1,524"	"1,666"	"1,034"	948	"2,253"	"3,076"	"4,117"	"4,024"
Austria	334210	606	556	"3,342"	754	"1,012"	"2,380"	"3,440"	"2,850"	"3,773"	"6,253"
Austria	334513	"9,532"	"11,671"	"4,629"	"6,053"	"8,795"	"6,346"	"9,091"	"13,532"	"13,059"	"9,082"
Austria	333612	"5,710"	"7,007"	"6,353"	"6,304"	"16,990"	"10,341"	"6,681"	"9,359"	"10,453"	"7,739"
Austria	327125	"8,262"	"6,988"	"3,334"	"3,488"	"1,672"	"5,739"	"5,367"	"4,582"	"4,327"	"4,551"
Austria	333295	"15,678"	"9,760"	"16,530"	"17,412"	"37,178"	"34,987"	"13,427"	"30,000"	"32,396"	"41,891"
Austria	316110	"5,626"	"5,559"	"5,114"	"7,669"	"4,458"	"3,946"	"4,189"	"6,170"	"8,229"	"10,778"
Austria	311320	512	800	"1,876"	434	"3,584"	"6,957"	"5,267"	"5,964"	"6,588"	"6,321"
Austria	333315	"6,094"	"4,144"	"5,116"	"6,198"	"3,542"	"3,792"	"6,214"	"3,158"	"5,161"	"5,512"
Austria	339943	"9,617"	"9,856"	"10,205"	"11,249"	"9,943"	"10,206"	"9,790"	"8,303"	"8,585"	"9,101"
Austria	313210	"12,736"	"10,942"	"10,045"	"9,166"	"6,946"	"6,695"	"6,923"	"9,446"	"8,346"	"7,432"
Austria	331422	"1,082"	"1,648"	"1,839"	"2,929"	"2,610"	"2,104"	"1,447"	"2,737"	"4,496"	"5,723"
Austria	335313	"1,493"	"1,306"	"1,681"	"2,649"	"1,944"	"1,467"	"1,635"	"1,925"	"2,248"	"5,921"
Austria	333294	"8,729"	"10,827"	"9,252"	"8,235"	"9,785"	"5,007"	"6,343"	"6,929"	"6,553"	"13,704"
Austria	333293	"5,525"	"16,555"	"14,806"	"3,530"	"18,020"	"24,899"	"15,221"	"6,133"	"21,158"	"11,919"
Austria	325998	"6,570"	"8,054"	"2,724"	"1,170"	"2,321"	"3,412"	"6,790"	"10,450"	"3,950"	"4,626"
Austria	332722	"1,984"	"2,979"	"2,889"	"4,753"	"3,789"	"3,595"	"3,893"	"5,440"	"6,182"	"5,565"
Austria	332213	"5,230"	"5,240"	"4,717"	"5,663"	"4,646"	"5,174"	"4,529"	"5,349"	"5,539"	"5,961"
Austria	322299	81	220	372	185	168	445	"4,254"	"6,233"	"6,378"	"9,500"
Austria	334418	"4,397"	"4,436"	"3,276"	"2,793"	"2,992"	"2,485"	"2,625"	"3,950"	"5,946"	"9,665"
Austria	332611	645	"1,278"	505	556	646	791	"3,209"	"5,143"	"6,339"	"6,773"
Austria	322122	"13,422"	"13,633"	"16,553"	"20,293"	"25,017"	"15,374"	"21,366"	"17,959"	"21,229"	"15,319"
Austria	316214	"1,581"	"3,361"	"4,031"	"3,165"	"3,148"	"3,134"	"3,791"	"3,824"	"4,007"	"6,316"
Austria	323119	"4,163"	"6,966"	"3,688"	"3,465"	"3,041"	"5,891"	"5,088"	"5,892"	"5,686"	"6,536"
Austria	339991	"2,303"	"3,353"	"2,588"	"2,932"	"3,294"	"3,165"	"3,826"	"4,736"	"4,655"	"4,784"
Austria	335129	"6,129"	"5,805"	"5,829"	"7,243"	"4,667"	"3,548"	"4,731"	"5,120"	"5,742"	"6,149"
Austria	326220	"1,211"	"1,730"	"2,108"	"3,069"	"4,110"	"3,982"	"2,977"	"3,080"	"5,584"	"5,160"
Austria	311513	"4,561"	"5,953"	"6,568"	"5,802"	"4,227"	"2,991"	"2,679"	"4,747"	"4,211"	"3,917"
Austria	335929	"3,133"	"3,009"	"2,952"	"5,431"	"3,313"	"3,921"	"4,198"	"5,984"	"3,522"	"4,885"
Austria	333516	399	"2,529"	"4,256"	771	178	174	"1,266"	3	148	105
Austria	326299	"2,757"	"1,782"	"1,485"	"1,922"	"2,322"	"3,287"	"3,049"	"6,519"	"7,183"	"6,021"
Austria	337127	"1,870"	"1,041"	"3,654"	"4,071"	"4,446"	"3,917"	"4,643"	"4,454"	"4,426"	"4,588"
Austria	327215	944	"1,203"	899	"1,027"	"2,290"	"1,555"	"2,663"	"3,665"	"3,727"	"3,895"
Austria	332312	"1,197"	823	"1,394"	396	589	"1,121"	"2,699"	"2,752"	"2,689"	"7,822"
Austria	325910	45	2	6	13	3	206	"1,229"	"5,007"	"10,874"	"6,200"
Austria	327213	"5,116"	"5,357"	"4,547"	"4,256"	"4,883"	"6,374"	"6,822"	"6,142"	"6,243"	"6,590"
Austria	326113	"6,646"	"6,758"	"5,714"	"6,248"	"5,176"	"3,966"	"3,348"	"5,314"	"8,407"	"9,168"
Austria	327999	543	161	"1,464"	256	"2,639"	"1,612"	"1,986"	"1,885"	"3,113"	"3,405"
Austria	334290	391	693	607	871	"1,028"	"1,740"	"1,681"	"1,018"	"1,778"	"2,442"
Austria	334415	"11,408"	"11,579"	"14,197"	"24,353"	"16,366"	"7,855"	"3,521"	"5,803"	"5,265"	"6,189"
Austria	327124	938	567	"1,530"	"1,818"	"1,661"	"1,457"	"1,083"	"1,122"	"2,919"	"3,575"
Austria	333298	"1,675"	"2,302"	891	"7,123"	376	505	"1,334"	"2,212"	"3,094"	"2,433"
Austria	333993	"2,994"	"3,485"	"3,055"	"3,303"	"4,361"	"3,737"	"6,632"	"5,365"	"4,207"	"8,911"
Austria	335211	"21,820"	"24,582"	"20,674"	"15,232"	"14,014"	"12,598"	"11,647"	"16,450"	"7,964"	"4,056"
Austria	31511X	"2,634"	"2,331"	"2,287"	"2,529"	"2,328"	"2,236"	"2,865"	"2,318"	"2,177"	"3,491"
Austria	336214	5	55	110	96	240	114	166	386	324	"2,249"
Austria	333923	"1,409"	"6,414"	"16,172"	"9,522"	"16,916"	"4,482"	"1,521"	"2,617"	"3,071"	"1,023"
Austria	311999	106	248	177	"1,766"	"1,284"	"1,430"	336	594	"1,316"	"1,423"
Austria	334412	"3,624"	"3,662"	"5,060"	"2,286"	"2,126"	"2,075"	"1,143"	"1,822"	"1,552"	"1,423"
Austria	333514	"2,038"	"2,349"	"4,318"	"4,297"	"1,960"	"2,496"	"2,941"	"5,454"	"3,611"	"5,623"
Austria	321211	206	270	378	577	"1,340"	"1,772"	"1,652"	"1,329"	"1,508"	"1,006"
Austria	313221	"2,944"	"3,081"	"2,992"	"3,024"	"3,375"	"3,444"	"3,751"	"3,759"	"4,093"	"4,645"
Austria	332420	137	100	"2,159"	"5,496"	"3,015"	486	"2,422"	"1,444"	"1,714"	"2,558"
Austria	316219	"2,230"	"2,359"	"1,225"	"3,196"	"4,138"	"3,257"	798	727	829	570
Austria	314991	"1,300"	"1,452"	"1,504"	"1,755"	"1,477"	"2,041"	"2,166"	"2,949"	"3,303"	"4,293"
Austria	331314	202	121	821	"1,109"	"1,626"	"1,541"	"1,320"	"2,817"	"2,395"	"3,918"
Austria	325510	834	735	874	653	215	312	391	868	"1,272"	961
Austria	311221	520	746	723	490	628	523	739	"1,085"	"1,169"	"2,270"
Austria	335221	"3,702"	"4,751"	"6,898"	"6,548"	"3,578"	"4,761"	"7,789"	"8,718"	"6,886"	"4,526"
Austria	339932	"1,524"	"2,212"	"1,941"	"1,332"	"1,452"	"2,484"	"2,226"	"2,792"	"7,888"	"6,626"
Austria	31181X	"3,387"	"3,861"	"3,746"	"3,175"	"3,083"	"2,430"	"2,790"	"2,907"	"3,888"	"2,962"
Austria	334612	"5,175"	"4,168"	"5,583"	"2,211"	"1,372"	"1,875"	"2,926"	"1,449"	"2,228"	"1,608"
Austria	327211	"1,285"	807	"1,150"	572	581	498	546	"3,762"	"1,332"	"1,283"
Austria	332410	"4,932"	"1,420"	599	"2,241"	"4,640"	"6,662"	"4,185"	"5,714"	"3,073"	"5,447"
Austria	334414	"4,143"	"1,575"	"2,529"	"5,904"	"3,385"	"4,748"	"4,999"	"6,017"	"5,503"	"3,387"
Austria	334417	"1,163"	992	923	700	"1,094"	"1,736"	964	"1,040"	"1,206"	"1,545"
Austria	336330	60	76	158	286	373	863	299	"3,285"	"2,486"	"3,291"
Austria	333412	318	857	792	825	577	349	144	322	141	599
Austria	335228	168	815	679	841	939	"3,141"	"1,401"	"1,341"	"2,324"	"1,804"
Austria	312140	729	721	986	859	"1,184"	"1,409"	"1,117"	"1,224"	"1,381"	"1,810"
Austria	315239	"1,282"	"2,680"	"2,567"	"3,372"	"3,385"	"2,563"	"3,148"	"3,071"	"3,148"	"4,053"
Austria	316993	290	961	"2,401"	913	978	"1,218"	933	"1,469"	"1,746"	"1,915"
Austria	335931	"2,426"	"3,369"	"2,891"	"3,175"	"2,497"	"2,575"	"3,471"	"4,098"	"4,646"	"5,017"
Austria	315234	"4,548"	"4,849"	"3,978"	"4,226"	"4,437"	"3,085"	"2,756"	"2,697"	"2,439"	"3,057"
Austria	314992	38	752	"1,473"	"2,469"	"2,477"	"2,025"	573	132	61	82
Austria	334511	353	240	91	153	639	536	885	"2,085"	857	"1,114"
Austria	327993	157	92	182	160	509	"1,235"	"1,115"	"1,053"	632	"1,327"
Austria	334111	716	"2,893"	"1,698"	"2,468"	"1,597"	"2,242"	"4,016"	"3,845"	"3,946"	"4,399"
Austria	334416	"1,929"	632	"3,202"	"5,185"	"2,496"	367	649	"1,413"	"1,291"	"1,486"
Austria	326122	"2,774"	"1,814"	"1,939"	"2,258"	"2,132"	982	"1,459"	"2,808"	"2,378"	"4,192"
Austria	335991	504	542	421	"1,009"	"2,512"	"1,684"	"1,463"	"1,400"	"1,026"	"1,552"
Austria	325320	"2,745"	"2,926"	"4,097"	"4,618"	462	119	95	515	682	220
Austria	325120	"1,178"	"3,229"	"5,387"	"7,171"	"6,577"	"5,975"	525	655	"1,828"	"2,987"
Austria	339993	"1,431"	"1,383"	"1,424"	605	388	931	"1,005"	"1,553"	"1,071"	651
Austria	336322	528	"1,147"	531	556	570	"1,069"	"1,241"	"1,605"	"3,270"	"3,777"
Austria	331316	3	34	32	150	266	99	573	817	362	"3,173"
Austria	332214	6	0	0	649	"1,386"	"1,593"	"2,283"	"2,004"	"1,902"	"2,912"
Austria	311119	0	95	0	0	723	53	284	383	"1,371"	987
Austria	314999	787	907	"1,280"	"1,371"	"1,343"	"1,569"	"1,317"	"1,746"	"1,404"	"1,504"
Austria	313111	"21,478"	"13,442"	"10,233"	"7,934"	"3,122"	"4,939"	"4,932"	"8,190"	"4,635"	"4,397"
Austria	325620	360	361	399	911	464	775	841	"1,519"	"1,518"	"1,842"
Austria	313320	"5,237"	"3,945"	"3,581"	"1,999"	"2,462"	"1,971"	"1,561"	"1,435"	"1,738"	"1,719"
Austria	321911	27	50	144	64	85	899	731	"1,174"	"1,105"	"1,527"
Austria	335110	519	"1,271"	960	999	"1,112"	"1,066"	"2,125"	"1,497"	"1,880"	"2,294"
Austria	333996	"2,258"	"1,973"	"2,202"	"1,405"	756	734	"1,010"	"2,361"	"2,558"	"2,212"
Austria	339950	163	204	457	148	141	123	710	225	448	"1,142"
Austria	325613	"1,725"	"1,120"	"1,096"	"1,457"	878	"1,154"	"2,553"	"1,121"	"1,631"	"1,089"
Austria	333414	302	772	312	147	830	549	"1,113"	260	306	"3,454"
Austria	311421	"25,205"	"13,569"	"9,451"	"4,207"	"5,997"	"4,277"	"3,673"	"3,042"	"1,967"	"1,361"
Austria	323117	888	"1,203"	"1,251"	"1,245"	"2,436"	"1,567"	"1,252"	"1,052"	"1,172"	"1,204"
Austria	336391	"1,815"	"2,666"	"1,406"	"1,118"	852	887	"2,373"	"5,948"	"6,277"	"3,267"
Austria	336340	753	869	899	"1,712"	"2,953"	"2,269"	"2,091"	"2,406"	"1,594"	"1,025"
Austria	331492	"12,155"	"5,965"	"6,098"	"2,847"	738	450	633	"1,081"	"1,775"	898
Austria	334112	"10,336"	952	"1,933"	"1,416"	495	602	843	909	699	"1,192"
Austria	315232	638	871	"1,271"	"1,457"	"1,060"	"1,218"	"1,214"	"1,444"	"1,063"	899
Austria	312120	323	358	523	734	830	"1,014"	909	"1,127"	742	872
Austria	321213	45	21	170	"6,314"	734	281	"1,369"	672	665	"2,690"
Austria	332912	545	996	565	815	472	298	530	630	832	"1,007"
Austria	111335	127	38	39	0	9	0	0	5	212	0
Austria	336411	641	"1,323"	"1,365"	"1,597"	"1,315"	"1,187"	759	206	4	688
Austria	335224	695	64	195	53	136	167	9	119	173	369
Austria	336370	21	133	17	14	415	471	11	27	581	968
Austria	326121	878	939	"1,187"	735	813	763	775	"1,447"	"1,958"	"2,113"
Austria	333319	0	0	2	284	"1,323"	"1,222"	172	808	756	564
Austria	331421	312	148	14	9	244	138	135	184	121	272
Austria	111150	22	0	329	505	181	0	0	26	"1,159"	0
Austria	314129	"2,083"	902	970	"1,335"	"1,438"	956	998	926	913	956
Austria	335121	172	188	196	763	363	346	780	951	808	763
Austria	31131X	2	230	30	55	21	100	41	6	0	0
Austria	336419	85	140	48	257	910	158	91	50	239	151
Austria	322222	"1,056"	"1,285"	984	966	"1,266"	583	695	723	898	"1,120"
Austria	315999	462	429	324	458	482	218	585	256	230	450
Austria	315231	"3,259"	"1,230"	910	"1,176"	782	769	736	294	488	550
Austria	334613	891	"1,867"	"1,141"	"2,637"	"3,820"	"3,362"	"2,550"	"2,922"	"1,613"	"1,285"
Austria	333411	5	7	62	45	"1,188"	562	"2,397"	"2,361"	"1,159"	"1,947"
Austria	321918	"1,067"	"2,110"	"2,096"	"1,029"	"1,044"	"1,747"	"2,142"	"5,548"	"11,849"	"5,947"
Austria	324110	66	169	82	548	81	159	231	223	315	"1,242"
Austria	327112	"1,220"	871	836	899	601	817	911	444	451	"1,056"
Austria	334514	"19,683"	"17,004"	"13,574"	"14,275"	"5,930"	"4,589"	"2,530"	"1,679"	"1,087"	471
Austria	313249	"5,881"	"1,935"	"1,554"	"2,709"	"1,839"	"1,265"	756	606	780	762
Austria	335911	691	615	116	848	"1,330"	13	38	146	184	588
Austria	322223	75	98	157	68	177	263	228	"1,197"	164	568
Austria	337124	291	"1,849"	100	87	163	79	45	200	477	425
Austria	332321	57	"1,940"	64	261	593	141	74	871	"1,096"	308
Austria	315222	"1,956"	"1,738"	"1,085"	630	754	704	757	529	701	917
Austria	325192	21	39	63	74	90	144	100	721	102	344
Austria	335912	64	25	44	56	189	174	12	16	30	34
Austria	332311	0	0	20	0	103	0	0	6	13	328
Austria	327113	246	"1,604"	177	"1,754"	"2,118"	"2,076"	473	680	"1,066"	"1,307"
Austria	112910	76	82	118	111	89	118	116	172	237	269
Austria	336992	"7,404"	"15,922"	315	"1,350"	"1,868"	51	0	117	176	"1,433"
Austria	334512	262	320	271	228	112	116	609	563	124	724
Austria	311920	"1,184"	385	353	104	61	253	259	384	154	468
Austria	322212	41	48	25	49	106	218	71	388	255	80
Austria	337211	58	205	24	144	154	204	297	104	214	402
Austria	339942	210	233	152	370	758	675	807	690	603	633
Austria	322224	7	0	0	234	350	"2,126"	"2,554"	"2,063"	822	697
Austria	332115	32	152	135	473	184	582	722	300	205	267
Austria	511210	"1,419"	"1,905"	"1,056"	"1,555"	915	418	340	303	178	97
Austria	333913	609	126	556	"1,108"	824	152	137	175	125	80
Austria	334518	348	"1,263"	630	472	475	405	849	631	254	128
Austria	321999	104	157	183	288	253	361	403	659	470	492
Austria	311423	54	92	56	6	0	19	0	35	11	90
Austria	316999	699	580	418	418	402	329	406	495	312	370
Austria	339912	233	"1,011"	"1,007"	612	830	528	837	809	406	150
Austria	339994	227	119	227	197	276	466	389	359	350	192
Austria	325520	"1,063"	86	436	626	522	102	194	67	99	200
Austria	332439	155	168	192	114	175	381	205	285	543	301
Austria	325920	827	"1,065"	303	26	24	34	300	527	516	381
Austria	325611	388	753	116	490	34	92	155	72	152	695
Austria	311223	347	283	317	479	176	157	188	339	221	201
Austria	111998	0	2	8	6	6	7	133	108	14	41
Austria	316991	358	159	244	354	211	215	301	402	414	200
Austria	325131	400	215	232	511	"4,782"	"1,964"	"1,116"	"1,654"	842	654
Austria	335932	32	43	14	12	15	32	11	43	233	195
Austria	322233	84	58	294	"1,616"	984	62	57	"1,697"	"6,661"	672
Austria	325311	456	320	355	429	929	351	381	435	614	570
Austria	311340	418	474	339	190	474	273	286	607	333	320
Austria	315233	71	193	277	372	212	134	147	85	80	184
Austria	311711	20	0	0	0	0	0	0	0	0	0
Austria	212393	290	186	334	146	220	280	321	355	230	286
Austria	323118	"1,009"	"1,154"	758	570	555	475	432	192	88	40
Austria	337121	332	243	472	147	213	175	176	150	758	299
Austria	337214	2	26	87	69	42	148	100	240	105	358
Austria	333997	55	77	28	117	40	65	117	100	"1,466"	106
Austria	327111	7	5	5	2	26	3	11	43	3	25
Austria	332211	742	394	"1,020"	262	144	175	146	194	226	180
Austria	314110	123	230	271	184	465	462	"1,039"	929	783	"1,397"
Austria	313230	482	663	159	338	122	230	156	117	304	159
Austria	325992	371	339	192	907	177	893	"1,206"	"1,301"	478	94
Austria	311411	17	17	10	5	0	"1,894"	91	180	19	101
Austria	321920	12	0	13	19	21	5	38	65	83	46
Austria	326211	"2,319"	"8,618"	"5,901"	"2,913"	"2,406"	657	130	427	265	301
Austria	335212	345	254	228	313	519	305	731	563	542	411
Austria	332913	33	20	62	21	26	4	0	7	12	5
Austria	336612	10	16	32	7	0	0	0	0	24	652
Austria	315991	188	194	158	147	164	278	141	116	162	138
Austria	326112	12	0	15	7	57	99	1	6	18	75
Austria	326191	27	17	20	5	7	2	5	18	22	67
Austria	313312	0	0	0	123	0	186	186	47	0	0
Austria	112990	2	0	9	30	12	36	24	30	61	73
Austria	315228	245	477	342	296	299	423	436	292	365	256
Austria	111219	8	0	227	94	46	9	22	9	15	9
Austria	324122	0	0	5	2	0	0	0	0	24	0
Austria	315992	46	14	32	37	43	34	23	200	38	56
Austria	336120	0	0	117	606	"1,085"	762	742	431	152	350
Austria	325181	0	1	0	0	0	0	0	0	13	0
Austria	337910	1	42	0	0	0	5	44	23	62	41
Austria	339941	79	104	83	118	50	40	71	52	105	99
Austria	325191	47	40	54	46	25	23	59	34	38	27
Austria	325132	11	3	5	23	3	15	95	40	24	81
Austria	333311	0	0	"1,058"	8	5	0	163	293	288	45
Austria	311942	27	37	20	30	84	22	3	14	13	34
Austria	322215	0	0	8	0	0	0	0	3	0	0
Austria	316213	564	203	102	188	244	82	146	116	24	90
Austria	111120	14	20	20	41	27	20	0	0	117	395
Austria	315223	42	142	56	71	183	45	42	37	65	83
Austria	315224	42	38	36	19	111	118	157	137	64	107
Austria	311930	16	3	5	0	0	0	0	0	15	0
Austria	311222	2	0	36	0	0	14	0	0	0	0
Austria	332998	25	48	34	127	216	132	32	210	17	29
Austria	322232	0	0	5	3	3	5	40	5	3	4
Austria	113310	0	0	0	"1,069"	436	962	14	30	50	195
Austria	311822	2	0	2	0	0	0	0	33	74	0
Austria	332992	339	222	622	636	132	240	206	53	10	70
Austria	112920	120	188	111	40	104	148	39	0	"3,207"	41
Austria	337110	13	0	54	0	284	100	117	17	83	74
Austria	311911	0	9	0	0	3	0	0	0	0	0
Austria	315292	51	37	84	104	93	95	91	67	133	93
Austria	311211	4	11	0	5	0	0	6	6	27	4
Austria	311514	61	978	31	324	187	7	72	0	0	139
Austria	322211	380	67	80	95	382	76	61	101	50	106
Austria	322213	13	4	42	110	62	506	135	0	5	19
Austria	326192	4	22	67	1	35	22	4	3	2	1
Austria	315993	21	50	9	10	8	5	2	5	3	5
Austria	314121	122	12	27	12	17	35	29	19	17	249
Austria	339944	50	95	26	17	17	25	0	49	77	7
Austria	323116	2	15	18	18	22	14	24	15	14	21
Austria	111339	0	0	0	0	4	24	11	0	0	0
Austria	332322	0	0	263	0	22	30	13	0	4	0
Austria	335921	0	4	0	0	7	10	9	38	29	16
Austria	312112	0	0	77	4	22	12	107	5	0	24
Austria	311941	8	14	0	0	0	2	20	5	6	37
Austria	314912	8	2	158	126	13	6	396	919	733	100
Austria	334411	"1,155"	"3,220"	"2,758"	"1,624"	786	182	"1,102"	79	99	182
Austria	111422	2	0	8	0	0	0	0	0	0	0
Austria	331319	23	20	11	2	41	5	31	11	19	6
Austria	316212	55	117	175	82	101	41	10	60	39	23
Austria	212399	13	19	18	10	69	38	32	17	6	28
Austria	337920	0	0	20	46	2	1	0	3	8	27
Austria	321212	0	255	68	243	804	124	340	411	750	687
Austria	316992	80	13	43	89	60	67	33	110	133	10
Austria	111199	0	0	0	0	0	0	0	0	0	17
Austria	315291	33	13	14	130	24	10	27	105	32	13
Austria	312113	8	13	100	236	0	5	0	6	8	8
Austria	114119	0	0	0	0	0	0	0	5	10	35
Austria	113210	5	14	169	418	16	15	0	"1,809"	82	28
Austria	111421	0	0	0	0	0	3	9	0	0	4
Austria	327390	0	15	3	26	0	0	0	0	0	5
Austria	327122	0	0	0	0	0	11	9	0	17	13
Austria	212319	14	0	0	19	0	13	26	0	0	107
Austria	316211	86	10	1	0	1	1	5	1	0	27
Austria	324121	0	0	0	0	0	0	0	0	0	0
Austria	114111	4	18	0	0	"1,027"	0	23	0	0	0
Austria	311225	3	0	0	6	3	12	3	3	0	4
Austria	325312	0	0	9	0	0	0	0	0	0	0
Austria	325182	0	0	0	0	0	0	0	5	0	0
Austria	327991	10	10	4	9	0	152	229	39	23	6
Austria	325110	0	0	0	0	"1,285"	0	0	0	0	0
Austria	325612	43	6	10	19	54	36	10	88	40	80
Austria	315221	63	36	40	32	8	5	4	6	6	21
Austria	313113	4	6	0	0	8	6	17	1	0	0
Austria	314911	444	714	221	452	131	94	29	19	2	23
Austria	311611	256	31	69	159	312	277	172	72	159	0
Austria	111130	11	0	32	8	3	2	0	23	45	7
Austria	311919	0	0	0	0	0	0	0	0	0	0
Austria	311823	4	10	0	0	0	0	0	223	0	0
Austria	311613	11	0	0	0	0	2	0	0	0	0
Austria	311511	0	0	0	0	0	0	62	160	0	0
Austria	211112	0	0	0	0	0	0	0	0	0	0
Austria	114112	0	24	0	0	0	0	0	0	0	0
Austria	112930	0	0	0	0	0	0	0	0	0	0
Austria	112511	0	0	0	0	0	3	3	0	0	0
Austria	112420	2	0	0	0	0	0	0	0	0	0
Austria	112410	0	0	0	0	0	0	0	0	0	0
Austria	112210	0	0	0	0	0	0	0	0	0	0
Austria	11211X	25	9	0	0	0	0	0	5	0	2
Austria	111920	0	0	0	0	0	0	0	0	0	0
Austria	339931	53	72	38	21	40	18	20	12	30	31
Austria	336611	0	0	67	0	0	6	0	8	9	0
Austria	336415	0	0	0	38	0	0	129	0	0	0
Austria	336212	0	0	0	5	25	2	0	0	0	84
Austria	336211	"3,941"	"4,164"	"1,034"	71	3	0	5	0	0	13
Austria	332997	11	0	0	0	0	0	0	4	39	0
Austria	332995	62	46	87	41	5	15	0	0	396	207
Austria	332431	0	0	5	2	0	0	0	0	0	3
Austria	331411	"2,995"	164	183	31	3	22	12	128	"13,370"	"7,793"
Austria	331311	"1,259"	960	"1,095"	"1,532"	480	"1,105"	814	678	724	20
Austria	327420	0	0	"1,177"	0	0	4	0	0	0	0
Austria	327410	"1,573"	788	0	0	0	0	0	0	0	0
Austria	327331	0	0	0	12	0	5	20	6	3	23
Austria	327123	0	3	0	2	6	0	2	14	0	0
Austria	327121	53	9	0	0	49	152	0	4	51	0
Austria	326212	0	0	0	5	0	2	0	1	0	0
Austria	323122	112	130	9	8	105	39	22	72	10	9
Austria	322291	0	0	28	5	0	0	0	3	9	97
Austria	322214	0	0	0	5	46	15	21	0	4	0
Austria	322110	270	207	406	638	114	189	0	0	4	7
Austria	321992	0	0	0	0	0	7	114	0	0	98
Austria	321114	0	0	0	0	0	0	0	6	7	596
Austria	312221	0	0	0	108	20	0	0	0	0	0
Austria	311230	0	0	0	0	2	0	0	0	0	0
Austria	311213	7	0	6	0	0	0	8	0	0	0
Austria	212325	66	472	50	49	15	0	0	13	0	41
Austria	212322	21	5	0	0	10	0	11	0	0	0
Austria	212311	0	0	15	9	10	0	0	0	11	11
Austria	212299	830	"3,332"	320	446	"1,206"	"1,702"	152	0	3	5
Austria	212234	0	0	6	0	0	26	0	0	0	0
Austria	111411	0	0	0	0	0	0	0	0	0	0
Austria	111334	0	0	0	0	0	0	0	0	0	10
Bangladesh	315239	"273,893"	"307,191"	"292,341"	"360,310"	"414,910"	"375,948"	"332,856"	"324,607"	"413,542"	"537,188"
Bangladesh	315228	"239,396"	"262,692"	"251,526"	"347,108"	"341,050"	"335,788"	"331,633"	"365,330"	"390,330"	"490,440"
Bangladesh	315223	"274,088"	"304,036"	"293,540"	"372,929"	"368,876"	"308,112"	"345,273"	"371,902"	"494,768"	"605,792"
Bangladesh	315224	"114,138"	"132,178"	"155,068"	"163,433"	"146,132"	"130,354"	"102,730"	"164,292"	"267,674"	"424,956"
Bangladesh	315232	"122,670"	"139,677"	"178,904"	"243,729"	"224,119"	"198,833"	"212,053"	"224,426"	"234,293"	"246,890"
Bangladesh	315231	"119,152"	"128,557"	"128,074"	"140,528"	"146,414"	"157,092"	"159,850"	"147,558"	"147,822"	"195,136"
Bangladesh	315291	"52,815"	"64,341"	"55,990"	"74,365"	"96,459"	"72,505"	"66,588"	"55,664"	"62,594"	"90,060"
Bangladesh	114112	"132,537"	"90,930"	"112,433"	"145,712"	"92,400"	"87,628"	"82,836"	"172,567"	"136,111"	"188,743"
Bangladesh	315234	"45,590"	"59,346"	"53,612"	"94,440"	"65,362"	"73,210"	"92,130"	"100,443"	"144,020"	"105,452"
Bangladesh	315991	"116,761"	"128,292"	"150,860"	"173,918"	"171,938"	"129,398"	"90,433"	"105,887"	"105,089"	"106,646"
Bangladesh	315221	"24,399"	"32,824"	"35,382"	"38,093"	"39,180"	"48,455"	"57,886"	"63,864"	"65,332"	"77,978"
Bangladesh	314129	"27,302"	"31,456"	"36,365"	"38,289"	"39,707"	"48,814"	"55,338"	"54,106"	"45,138"	"50,016"
Bangladesh	314912	"9,234"	"20,497"	"22,076"	"31,158"	"47,429"	"43,635"	"36,327"	"31,680"	"41,852"	"33,763"
Bangladesh	315233	"46,977"	"55,496"	"64,321"	"66,072"	"65,031"	"46,296"	"40,824"	"36,301"	"26,234"	"15,585"
Bangladesh	315222	"7,260"	"7,303"	"15,297"	"33,308"	"15,866"	"6,528"	"13,214"	"12,652"	"15,767"	"13,981"
Bangladesh	326199	76	12	67	676	"1,351"	"5,261"	"5,662"	"6,445"	"8,581"	"10,696"
Bangladesh	313111	"3,462"	"3,261"	"3,913"	"5,679"	"5,440"	"7,416"	"6,988"	"6,963"	"7,908"	"7,387"
Bangladesh	339920	"21,642"	"26,229"	"13,391"	"13,772"	"10,897"	"13,386"	"7,652"	"4,636"	"6,174"	"7,046"
Bangladesh	314999	"8,120"	"9,153"	"6,905"	"4,627"	"6,473"	"6,032"	"6,117"	"8,277"	"7,116"	"5,949"
Bangladesh	114111	"1,787"	"1,500"	"2,396"	"2,440"	"1,707"	"1,694"	"2,150"	"4,408"	"2,991"	"3,879"
Bangladesh	327112	"2,977"	"3,757"	"2,274"	"3,035"	"3,470"	"2,410"	"2,950"	"3,377"	"4,594"	"3,848"
Bangladesh	111910	180	998	270	0	0	20	767	796	"3,458"	"1,374"
Bangladesh	316213	6	60	68	4	2	6	20	631	352	918
Bangladesh	313210	"2,671"	"7,305"	"10,406"	"9,939"	"8,911"	"7,817"	"3,095"	"8,266"	"4,489"	"4,828"
Bangladesh	910000	70	32	7	12	61	17	3	125	357	"1,041"
Bangladesh	314121	0	0	67	488	455	"1,634"	"1,242"	"1,035"	"1,450"	"2,119"
Bangladesh	990000	802	"1,254"	"1,016"	"1,274"	"1,162"	"1,324"	"1,084"	"1,657"	"1,987"	"2,509"
Bangladesh	314911	"1,103"	"2,019"	"2,263"	"1,227"	"2,024"	"1,862"	"1,092"	"2,679"	"2,320"	"2,396"
Bangladesh	315999	629	521	658	"2,310"	"1,126"	"1,895"	"2,177"	"2,583"	"3,360"	"1,960"
Bangladesh	980000	"1,114"	429	508	"1,582"	351	270	276	671	783	"5,584"
Bangladesh	314110	396	397	626	859	639	738	892	"1,065"	"1,118"	"1,377"
Bangladesh	333314	216	0	0	0	0	0	0	22	"1,183"	"2,405"
Bangladesh	111998	493	564	768	247	146	62	11	120	532	561
Bangladesh	315992	"3,893"	"5,817"	"5,939"	"5,474"	"4,643"	"2,299"	"1,239"	"1,668"	"1,257"	909
Bangladesh	31181X	119	19	20	64	28	65	105	291	397	779
Bangladesh	311212	94	95	187	181	85	103	139	239	245	380
Bangladesh	31511X	0	0	1	72	21	277	241	315	689	838
Bangladesh	316991	"8,513"	"9,862"	"16,610"	"17,220"	"17,976"	"10,841"	"3,077"	760	327	300
Bangladesh	322223	0	0	256	702	140	34	45	43	65	256
Bangladesh	313249	1	0	0	0	26	17	0	5	8	806
Bangladesh	321999	296	139	224	366	247	299	265	316	372	374
Bangladesh	311411	68	5	10	22	37	39	88	232	415	533
Bangladesh	325620	2	5	2	0	3	0	0	12	21	7
Bangladesh	315993	17	55	24	71	109	53	53	82	436	910
Bangladesh	339999	775	149	308	423	276	276	378	456	242	359
Bangladesh	920000	0	2	0	230	0	206	19	124	166	484
Bangladesh	314991	"3,080"	"4,951"	"3,323"	"2,597"	679	252	193	179	54	73
Bangladesh	316999	15	60	94	62	84	64	318	224	478	593
Bangladesh	311230	0	2	7	21	13	9	33	39	94	73
Bangladesh	325222	0	0	6	39	0	0	0	0	0	0
Bangladesh	335999	0	0	0	0	0	0	0	0	0	44
Bangladesh	316110	"1,296"	"1,016"	"1,021"	"1,072"	901	553	735	689	630	470
Bangladesh	339113	0	0	0	0	0	0	0	0	0	1
Bangladesh	316214	131	69	17	32	23	7	54	11	187	400
Bangladesh	332439	0	0	0	0	13	99	0	0	50	48
Bangladesh	316219	75	59	19	0	24	133	206	24	71	51
Bangladesh	323119	117	8	5	27	13	32	13	13	18	20
Bangladesh	323118	19	4	0	21	57	107	11	33	17	16
Bangladesh	316211	0	0	0	0	0	0	52	43	2	19
Bangladesh	111160	0	0	0	0	0	0	0	0	0	0
Bangladesh	339932	163	236	63	72	303	135	8	2	4	679
Bangladesh	322299	0	3	4	2	8	2	0	18	0	0
Bangladesh	339991	0	0	0	0	0	0	0	0	0	0
Bangladesh	311942	35	8	0	0	9	9	8	26	77	47
Bangladesh	316992	57	33	69	57	112	20	32	118	274	165
Bangladesh	333618	20	0	16	7	0	12	6	0	193	5
Bangladesh	311919	0	0	6	2	5	61	26	8	45	72
Bangladesh	311920	8	11	2	9	0	0	18	31	15	74
Bangladesh	339115	0	0	9	0	0	0	0	12	0	14
Bangladesh	322211	8	0	2	3	33	30	48	0	47	0
Bangladesh	311999	2	3	0	18	25	7	24	18	10	58
Bangladesh	334413	182	109	144	148	136	155	121	93	69	70
Bangladesh	311421	18	10	14	26	12	21	32	46	35	19
Bangladesh	327993	0	0	0	0	0	0	8	25	6	54
Bangladesh	335129	0	9	22	25	10	11	12	7	11	58
Bangladesh	321911	0	0	0	0	0	0	0	0	0	0
Bangladesh	311225	2	0	0	0	3	4	0	0	7	6
Bangladesh	326160	0	0	0	0	0	0	0	39	56	8
Bangladesh	327212	11	0	3	0	0	0	2	0	3	9
Bangladesh	334418	0	0	0	0	0	18	0	0	9	26
Bangladesh	333999	0	1	0	4	0	0	2	0	0	88
Bangladesh	311340	9	0	0	0	0	3	5	16	7	9
Bangladesh	333315	0	0	0	0	0	0	0	0	3	0
Bangladesh	311223	0	0	0	13	0	4	6	5	4	16
Bangladesh	322222	0	1	0	0	0	0	0	1	0	0
Bangladesh	334220	0	0	0	0	0	0	0	0	0	0
Bangladesh	332999	5	2	100	90	27	177	76	88	113	69
Bangladesh	334515	0	0	0	0	0	0	0	76	0	6
Bangladesh	111130	3	0	0	0	2	3	8	2	2	30
Bangladesh	332311	0	0	0	0	0	37	61	91	50	0
Bangladesh	311941	0	0	0	4	2	0	0	3	0	5
Bangladesh	339914	0	0	0	4	0	0	0	9	0	18
Bangladesh	321213	0	0	0	0	0	0	25	0	0	0
Bangladesh	111219	0	0	3	0	4	0	0	3	9	6
Bangladesh	334419	0	2	28	26	0	0	0	0	2	0
Bangladesh	334310	3	0	0	0	0	0	0	332	0	0
Bangladesh	323117	7	0	0	0	6	0	5	0	12	18
Bangladesh	327111	0	0	0	0	0	0	0	0	0	0
Bangladesh	325611	25	0	3	0	11	0	0	12	0	54
Bangladesh	31131X	2	0	0	0	10	8	3	54	0	0
Bangladesh	322121	12	3	10	15	7	12	35	13	26	111
Bangladesh	339941	0	0	0	3	0	0	0	0	0	0
Bangladesh	339992	6	8	9	9	8	7	8	7	9	11
Bangladesh	212322	0	0	0	0	0	0	0	0	0	0
Bangladesh	111335	0	0	0	0	0	0	0	0	3	0
Bangladesh	325193	0	0	0	0	0	0	0	0	0	0
Bangladesh	339994	0	0	0	0	8	0	3	0	4	0
Bangladesh	313221	129	91	145	46	39	40	32	186	146	65
Bangladesh	327122	0	0	0	0	0	0	0	0	0	0
Bangladesh	311512	0	0	3	0	7	2	4	6	10	3
Bangladesh	316993	51	5	72	2	70	30	11	3	16	3
Bangladesh	311911	0	0	0	0	0	0	0	0	0	5
Bangladesh	335991	0	0	0	0	0	0	0	46	0	78
Bangladesh	311823	8	0	0	4	9	14	7	8	13	0
Bangladesh	311711	0	0	0	0	3	10	5	4	200	224
Bangladesh	326299	78	67	104	33	1	97	24	17	5	10
Bangladesh	333913	0	0	0	0	0	0	0	0	0	5
Bangladesh	334513	0	10	0	0	0	0	0	0	0	12
Bangladesh	337127	0	85	3	28	54	320	35	3	29	13
Bangladesh	332212	14	0	0	0	2	47	0	16	0	5
Bangladesh	322213	0	0	0	0	0	0	0	0	10	0
Bangladesh	325998	226	604	"1,149"	"1,251"	811	528	362	352	290	43
Bangladesh	111339	4	0	0	0	2	0	4	3	4	2
Bangladesh	312111	0	0	7	0	0	29	0	0	0	3
Bangladesh	325212	0	0	0	0	0	0	0	0	0	0
Bangladesh	327910	4	5	0	0	0	0	0	10	4	0
Bangladesh	316212	22	0	38	0	0	19	0	0	0	0
Bangladesh	332722	21	0	0	0	0	0	0	0	0	9
Bangladesh	315292	81	0	0	0	0	0	0	136	25	11
Bangladesh	111120	0	0	0	0	0	0	0	0	28	39
Bangladesh	111199	0	0	10	0	0	0	0	0	0	0
Bangladesh	112511	0	0	0	58	213	150	51	31	2	8
Bangladesh	112990	4	0	0	0	6	0	0	0	0	0
Bangladesh	311211	0	0	0	0	0	0	0	0	0	0
Bangladesh	311320	70	0	0	0	0	0	0	0	0	0
Bangladesh	311423	2	0	0	0	0	0	0	0	0	14
Bangladesh	332911	0	0	0	0	9	0	0	0	0	0
Bangladesh	332618	0	10	43	11	0	0	0	0	4	4
Bangladesh	332611	0	0	0	0	0	0	0	4	9	2
Bangladesh	332510	0	0	0	0	0	0	5	0	10	0
Bangladesh	332420	0	0	0	0	0	0	0	0	0	0
Bangladesh	332410	0	0	0	0	0	0	0	0	0	0
Bangladesh	332323	0	0	0	0	0	0	0	45	0	0
Bangladesh	332312	0	0	0	0	0	0	123	0	0	0
Bangladesh	326191	0	0	0	0	0	0	0	0	0	0
Bangladesh	333911	0	0	3	0	0	0	0	0	0	0
Bangladesh	333612	0	0	0	0	2	0	0	0	0	9
Bangladesh	333515	0	0	0	0	6	0	0	0	0	2
Bangladesh	333514	0	9	0	0	0	0	0	0	0	0
Bangladesh	333512	0	0	0	0	0	89	0	0	0	0
Bangladesh	333415	0	0	0	0	0	0	0	59	0	0
Bangladesh	333313	10	0	0	0	3	0	0	0	0	2
Bangladesh	333294	0	0	0	0	0	0	0	0	0	3
Bangladesh	333293	0	0	0	4	0	0	0	0	0	0
Bangladesh	339993	0	0	0	0	0	0	0	0	24	3
Bangladesh	339950	0	0	0	0	0	0	0	0	0	4
Bangladesh	339931	119	48	54	76	27	1	3	1	1	48
Bangladesh	339913	0	0	0	0	0	4	0	0	21	0
Bangladesh	339912	0	0	0	0	7	16	3	0	0	0
Bangladesh	339911	234	0	0	168	4	0	0	0	0	53
Bangladesh	339114	0	0	0	0	0	0	0	0	0	0
Bangladesh	339112	7	0	0	0	0	0	0	0	13	0
Bangladesh	337215	3	5	0	0	0	2	0	0	0	0
Bangladesh	337211	0	0	0	0	0	0	0	0	0	48
Bangladesh	337124	0	0	48	0	0	0	0	0	0	0
Bangladesh	336991	0	0	46	0	0	0	0	0	0	0
Bangladesh	336413	0	0	3	0	0	0	0	0	0	0
Bangladesh	336412	8	3	0	10	0	25	0	0	0	25
Bangladesh	336399	0	0	0	0	0	44	0	34	0	0
Bangladesh	336391	0	0	0	0	0	0	0	0	0	0
Bangladesh	336350	2	0	0	0	0	0	0	0	0	0
Bangladesh	336322	0	0	0	0	0	4	0	0	0	0
Bangladesh	336111	0	0	0	0	0	0	0	0	0	0
Bangladesh	335931	0	0	0	0	4	0	0	0	0	0
Bangladesh	335929	0	0	0	9	0	0	0	17	0	2
Bangladesh	335921	8	18	19	222	32	0	0	0	0	0
Bangladesh	335911	17	0	0	0	0	0	0	0	0	0
Bangladesh	335314	0	0	0	3	0	0	0	0	0	0
Bangladesh	335313	0	0	0	0	6	0	0	0	0	0
Bangladesh	335312	0	13	0	0	0	0	0	0	0	0
Bangladesh	335224	0	0	0	0	0	0	5	0	0	0
Bangladesh	335110	0	0	0	5	3	0	0	0	0	0
Bangladesh	334613	0	0	2	0	0	0	0	0	0	0
Bangladesh	334519	0	0	0	0	10	0	0	0	0	0
Bangladesh	334518	0	49	0	0	0	5	0	0	2	1
Bangladesh	334517	0	0	0	0	0	0	0	0	0	4
Bangladesh	334512	0	0	0	57	0	0	0	0	0	0
Bangladesh	334511	0	0	0	6	0	0	36	0	12	0
Bangladesh	334510	0	0	0	0	3	0	0	0	0	0
Bangladesh	334417	0	0	0	0	0	0	0	0	350	8
Bangladesh	334416	99	0	0	0	2	0	0	0	0	0
Bangladesh	334415	0	7	0	0	0	0	0	0	3	0
Bangladesh	334414	0	7	0	0	0	0	0	0	0	0
Bangladesh	334411	8	0	0	0	0	0	0	0	0	0
Bangladesh	334290	0	0	0	0	0	0	0	0	0	9
Bangladesh	334210	0	0	0	0	0	10	189	5	0	10
Bangladesh	334119	5	24	0	5	35	3	0	18	3	10
Bangladesh	334111	0	0	0	0	2	15	7	0	10	0
Bangladesh	333996	0	0	0	0	0	0	0	0	0	2
Bangladesh	333991	0	0	0	0	0	0	0	0	0	275
Bangladesh	333923	0	0	0	0	0	0	0	0	0	3
Bangladesh	333912	0	0	0	2	0	0	0	0	0	0
Bangladesh	333292	0	20	0	30	0	0	0	0	0	0
Bangladesh	333220	0	0	0	0	0	5	0	0	0	0
Bangladesh	333210	0	343	39	0	0	360	0	0	0	0
Bangladesh	333120	0	0	0	0	0	0	0	0	0	14
Bangladesh	333111	0	0	0	0	13	608	0	0	0	0
Bangladesh	332991	0	0	0	0	2	0	0	0	0	0
Bangladesh	332919	73	0	0	0	2	0	0	0	0	0
Bangladesh	332913	0	0	0	85	0	0	0	0	0	0
Bangladesh	326122	0	0	0	0	0	0	0	0	0	0
Bangladesh	326113	0	0	0	0	0	1	0	0	0	0
Bangladesh	325992	0	0	0	0	0	0	0	0	0	89
Bangladesh	325510	0	0	0	0	0	0	7	0	0	0
Bangladesh	325412	0	0	0	0	0	28	0	6	2	9
Bangladesh	325411	0	0	0	0	0	0	0	0	13	0
Bangladesh	325311	0	0	0	"12,735"	0	0	"3,397"	"7,436"	"34,456"	"7,282"
Bangladesh	325211	0	0	0	91	0	0	0	0	0	0
Bangladesh	332214	0	0	0	3	0	80	0	0	0	0
Bangladesh	332211	0	0	0	0	0	0	0	0	0	6
Bangladesh	331491	0	0	0	0	5	0	0	0	0	0
Bangladesh	327999	2	1	0	0	2	0	0	0	0	8
Bangladesh	327991	0	0	0	0	0	0	29	0	0	0
Bangladesh	327310	0	0	0	0	0	0	62	95	0	0
Bangladesh	327215	0	0	0	0	2	42	0	33	0	0
Bangladesh	327125	0	0	0	0	0	0	0	0	0	2
Bangladesh	327123	0	0	0	0	0	0	0	0	0	3
Bangladesh	326220	0	1	0	0	0	0	0	0	0	0
Bangladesh	326211	0	0	0	0	0	0	0	0	0	0
Bangladesh	325199	0	0	0	0	0	24	0	0	0	0
Bangladesh	325192	12	0	31	69	0	0	0	0	0	0
Bangladesh	325191	0	0	0	6	0	0	0	0	0	0
Bangladesh	313320	0	44	0	0	0	0	0	0	0	0
Bangladesh	313230	0	0	0	4	0	0	0	0	0	0
Bangladesh	313113	0	0	0	117	75	0	0	0	0	0
Bangladesh	312229	0	1	0	0	0	0	0	0	0	0
Bangladesh	312221	0	0	0	0	0	0	0	0	0	56
Bangladesh	312140	0	0	0	0	0	0	0	0	8	0
Bangladesh	312130	13	0	0	0	0	0	0	0	0	0
Bangladesh	311822	0	0	0	0	0	0	0	0	0	0
Bangladesh	311615	0	0	0	0	0	0	0	3	7	0
Bangladesh	311613	0	0	8	8	3	0	16	42	0	17
Bangladesh	311611	0	0	16	26	0	0	0	0	0	0
Bangladesh	311514	0	0	0	0	0	3	7	29	8	20
Bangladesh	311513	0	0	0	0	0	0	3	3	0	0
Bangladesh	325188	0	0	0	0	0	0	0	2	0	0
Bangladesh	324110	0	0	0	0	"6,664"	0	0	0	0	0
Bangladesh	322291	0	0	0	0	0	0	0	0	0	0
Bangladesh	322233	3	19	22	23	29	41	10	16	15	41
Bangladesh	322232	0	0	0	0	0	0	0	0	3	0
Bangladesh	322212	5	9	0	6	11	0	0	0	22	38
Bangladesh	321920	0	10	0	0	0	0	0	0	0	0
Bangladesh	321219	0	0	0	0	0	52	0	0	0	0
Bangladesh	321113	0	0	0	0	0	0	0	0	0	34
Bangladesh	311422	0	0	0	0	0	2	0	0	3	0
Bangladesh	311221	0	0	0	0	0	0	3	0	0	2
Bangladesh	212393	0	0	0	0	0	0	0	4	0	0
Bangladesh	112910	0	0	0	0	0	7	0	0	0	27
Bangladesh	111422	0	6	0	0	0	0	0	0	0	12
Bangladesh	111320	4	0	0	0	0	0	0	0	0	0
Belgium	339913	"1,812,813"	"1,867,626"	"1,976,088"	"2,591,594"	"2,147,012"	"2,302,923"	"2,603,364"	"2,743,420"	"2,841,375"	"2,831,040"
Belgium	324110	"258,968"	"255,352"	"316,337"	"618,201"	"743,653"	"831,852"	"1,034,321"	"1,519,033"	"1,745,343"	"1,997,562"
Belgium	325411	"217,935"	"137,112"	"636,436"	"305,899"	"660,179"	"729,642"	"560,723"	"1,162,214"	"793,633"	"1,302,194"
Belgium	980000	"388,805"	"357,154"	"496,656"	"376,393"	"594,038"	"542,946"	"608,987"	"603,928"	"681,679"	"786,154"
Belgium	325412	"102,978"	"168,644"	"101,320"	"154,217"	"240,710"	"317,132"	"323,625"	"369,087"	"222,423"	"576,485"
Belgium	336111	"1,060,740"	"1,294,397"	"1,293,379"	"910,052"	"1,076,484"	"983,093"	"946,121"	"1,252,894"	"1,237,624"	"988,451"
Belgium	325414	"326,929"	"264,559"	"342,521"	"318,349"	"360,777"	"275,489"	"283,635"	"211,899"	"287,247"	"441,534"
Belgium	331419	"191,344"	"161,732"	"174,386"	"404,842"	"374,001"	"234,052"	"110,923"	"172,496"	"137,424"	"243,568"
Belgium	325199	"317,724"	"334,434"	"298,798"	"261,446"	"235,905"	"203,113"	"154,686"	"219,423"	"266,995"	"289,164"
Belgium	325192	"18,090"	"24,240"	"25,943"	"40,598"	"33,089"	"40,603"	"36,791"	"65,832"	"146,613"	"116,471"
Belgium	331111	"227,763"	"209,483"	"228,745"	"283,434"	"196,280"	"161,237"	"110,207"	"292,446"	"345,342"	"366,896"
Belgium	325211	"59,318"	"73,534"	"80,166"	"101,734"	"95,795"	"86,630"	"112,968"	"100,193"	"169,612"	"160,889"
Belgium	336412	"55,824"	"54,544"	"69,830"	"65,545"	"78,520"	"60,040"	"75,494"	"69,717"	"111,980"	"136,638"
Belgium	325992	"189,995"	"194,874"	"205,927"	"260,408"	"205,877"	"194,966"	"206,609"	"200,174"	"191,381"	"186,884"
Belgium	920000	"83,460"	"104,822"	"111,279"	"161,389"	"165,443"	"187,600"	"115,768"	"83,954"	"141,234"	"151,144"
Belgium	325188	"43,676"	"40,903"	"49,611"	"60,660"	"82,977"	"78,996"	"55,077"	"64,207"	"74,961"	"81,318"
Belgium	312120	"5,764"	"5,698"	"6,916"	"8,670"	"14,652"	"16,418"	"25,411"	"32,397"	"47,106"	"68,912"
Belgium	336120	"153,194"	"174,929"	"175,169"	"166,955"	"144,514"	"39,045"	"86,903"	"90,479"	"94,744"	"133,266"
Belgium	990000	"47,680"	"71,435"	"72,800"	"83,471"	"84,794"	"83,052"	"81,648"	"100,760"	"120,175"	"115,525"
Belgium	333120	"121,607"	"155,657"	"110,628"	"93,591"	"139,607"	"95,763"	"89,966"	"220,906"	"242,480"	"260,016"
Belgium	333912	"63,820"	"73,906"	"73,870"	"100,333"	"81,888"	"59,079"	"63,613"	"72,124"	"106,739"	"130,464"
Belgium	333612	"99,688"	"111,131"	"99,478"	"78,062"	"75,183"	"71,270"	"80,350"	"102,781"	"104,279"	"93,438"
Belgium	333999	"40,737"	"43,737"	"51,317"	"57,331"	"42,868"	"50,545"	"51,598"	"52,024"	"53,339"	"53,365"
Belgium	334119	"102,683"	"101,362"	"97,492"	"118,620"	"73,166"	"79,804"	"80,936"	"85,007"	"83,157"	"96,748"
Belgium	336413	"49,173"	"63,650"	"44,778"	"46,100"	"49,754"	"46,564"	"34,707"	"42,779"	"50,743"	"55,101"
Belgium	314110	"59,314"	"73,456"	"92,657"	"96,175"	"99,273"	"108,369"	"118,567"	"122,680"	"123,580"	"138,723"
Belgium	311320	"33,092"	"37,988"	"49,813"	"46,846"	"52,906"	"49,476"	"59,932"	"68,151"	"73,742"	"87,094"
Belgium	333111	"37,233"	"70,631"	"43,153"	"53,074"	"52,684"	"54,313"	"61,170"	"56,332"	"51,034"	"60,734"
Belgium	325620	"41,722"	"69,006"	"76,361"	"75,809"	"75,041"	"75,967"	"87,495"	"91,996"	"102,834"	"85,658"
Belgium	334310	"9,818"	"14,691"	"6,694"	"22,571"	"52,932"	"79,536"	"77,242"	"70,858"	"91,654"	"105,314"
Belgium	335110	"11,411"	"19,178"	"21,183"	"23,085"	"24,887"	"34,786"	"50,564"	"57,740"	"45,887"	"44,004"
Belgium	325312	"7,900"	"7,876"	"9,749"	"17,329"	"24,177"	"26,689"	"27,562"	"31,910"	"34,327"	"33,327"
Belgium	313210	"56,030"	"64,072"	"68,529"	"75,116"	"64,094"	"78,551"	"60,811"	"63,080"	"60,235"	"59,274"
Belgium	326199	"24,737"	"26,864"	"34,675"	"37,486"	"33,007"	"31,794"	"26,342"	"31,604"	"36,711"	"50,528"
Belgium	336350	"1,503"	"3,156"	"1,821"	"1,705"	"2,305"	"4,054"	"3,064"	"4,432"	"27,304"	"48,475"
Belgium	332999	"21,234"	"14,023"	"25,493"	"20,848"	"28,106"	"26,423"	"31,389"	"37,498"	"37,186"	"41,356"
Belgium	325110	"32,153"	"34,995"	"18,089"	"34,240"	"30,644"	"10,674"	"8,914"	"5,122"	"5,356"	"30,500"
Belgium	334413	"35,944"	"29,946"	"22,661"	"26,595"	"26,022"	"34,532"	"33,782"	"36,071"	"24,953"	"34,615"
Belgium	334517	"24,292"	"26,990"	"10,789"	"2,781"	"7,199"	"8,032"	"8,190"	"4,870"	"4,926"	"5,727"
Belgium	321219	"1,148"	"1,624"	"1,631"	"3,467"	"42,494"	"78,804"	"135,896"	"166,094"	"170,810"	"113,984"
Belgium	336322	"29,373"	"34,456"	"44,641"	"45,324"	"37,001"	"32,648"	"41,765"	"41,720"	"48,379"	"60,177"
Belgium	334419	"14,404"	"9,824"	"9,404"	"13,812"	"15,466"	"17,064"	"19,089"	"32,789"	"31,053"	"24,136"
Belgium	332994	"20,768"	"25,469"	"32,596"	"32,986"	"26,306"	"17,698"	"22,712"	"30,188"	"36,633"	"37,360"
Belgium	333415	"10,909"	"16,276"	"10,609"	"7,858"	"5,404"	"3,300"	"4,557"	"5,003"	"6,118"	"17,095"
Belgium	331491	"26,654"	"38,203"	"18,346"	"17,700"	"30,034"	"24,841"	"16,944"	"16,866"	"21,224"	"43,525"
Belgium	333924	"6,887"	"5,585"	"14,848"	"8,800"	"2,878"	"3,421"	"4,926"	"8,187"	"12,384"	"27,179"
Belgium	311221	"5,640"	"10,280"	"6,214"	"5,931"	"8,023"	"11,232"	"19,794"	"29,991"	"34,321"	"32,723"
Belgium	325181	"11,724"	"9,289"	"6,700"	"4,619"	"1,352"	"2,273"	"3,878"	"6,227"	"16,355"	"15,970"
Belgium	322222	"11,310"	"14,551"	"16,463"	"18,893"	"16,927"	"17,706"	"22,619"	"29,475"	"33,411"	"35,980"
Belgium	333995	"7,180"	"6,966"	"7,034"	"6,336"	"5,629"	"5,883"	"9,488"	"15,814"	"12,768"	"8,812"
Belgium	333414	"2,937"	"3,513"	"2,981"	"10,193"	"4,635"	"4,075"	"4,740"	"4,484"	"7,643"	"13,107"
Belgium	325998	"16,489"	"30,576"	"14,405"	"13,071"	"16,505"	"16,040"	"12,050"	"16,647"	"16,305"	"16,649"
Belgium	326192	"1,289"	"3,500"	"4,542"	"8,288"	"8,490"	"8,503"	"5,791"	"5,348"	"9,097"	"21,181"
Belgium	326113	"27,568"	"26,948"	"20,428"	"23,967"	"21,900"	"17,680"	"18,026"	"35,332"	"46,067"	"53,838"
Belgium	334210	"1,321"	"5,589"	"18,359"	"22,932"	"7,989"	"4,844"	"17,223"	"20,362"	"11,946"	"13,298"
Belgium	211112	"6,203"	695	0	"5,582"	"2,163"	"5,154"	"13,024"	"2,769"	"1,429"	0
Belgium	333293	"28,541"	"45,222"	"82,185"	"64,142"	"28,315"	"12,629"	"12,450"	"18,471"	"41,648"	"45,633"
Belgium	336399	"15,272"	"14,725"	"14,484"	"16,770"	"13,882"	"19,787"	"23,487"	"23,955"	"31,117"	"32,908"
Belgium	31181X	"43,921"	"58,993"	"28,797"	"24,629"	"28,232"	"26,498"	"24,994"	"27,058"	"28,859"	"31,021"
Belgium	333292	"90,703"	"98,688"	"56,667"	"56,176"	"35,917"	"24,922"	"30,313"	"40,392"	"37,822"	"29,257"
Belgium	334418	"5,793"	"26,098"	"38,828"	"25,076"	"46,736"	"35,777"	"26,165"	"33,194"	"36,945"	"41,006"
Belgium	331492	"6,009"	"9,501"	"12,741"	"15,605"	"20,326"	"17,425"	"15,671"	"15,195"	"13,559"	"20,919"
Belgium	332911	"6,353"	"8,760"	"10,095"	"11,994"	"16,047"	"16,245"	"18,274"	"21,855"	"14,846"	"8,950"
Belgium	332912	"2,024"	"2,878"	"3,732"	"6,708"	"5,931"	"4,926"	"5,625"	"13,324"	"25,183"	"28,405"
Belgium	325131	"14,651"	"16,951"	"22,086"	"22,300"	"13,778"	"12,520"	"16,884"	"18,420"	"28,374"	"26,815"
Belgium	335224	"7,007"	"5,597"	"8,639"	"11,691"	"4,787"	"7,063"	"12,601"	"11,029"	"16,457"	"16,769"
Belgium	335999	"11,041"	"23,123"	"26,410"	"15,225"	"16,173"	"51,051"	"43,592"	"17,010"	"29,945"	"18,430"
Belgium	311411	"1,592"	"2,317"	"2,943"	"4,268"	"5,179"	"7,975"	"10,482"	"10,941"	"12,416"	"11,536"
Belgium	334519	"3,470"	"3,060"	"3,003"	"2,900"	"3,345"	"3,852"	"5,353"	"9,610"	"15,973"	"20,042"
Belgium	335929	"2,747"	"4,827"	"4,769"	"9,894"	"4,556"	"11,453"	"7,244"	"11,905"	"10,027"	"18,644"
Belgium	339911	"2,797"	"2,722"	"4,290"	"2,959"	"5,553"	"4,873"	"4,356"	"6,377"	"7,698"	"7,720"
Belgium	339112	"2,842"	"3,551"	"5,534"	"3,992"	"3,498"	"3,895"	"5,395"	"9,588"	"15,245"	"11,193"
Belgium	333911	"1,273"	"1,791"	"2,642"	"2,519"	"2,801"	"2,582"	"4,381"	"14,447"	"10,701"	"12,455"
Belgium	333513	"31,652"	"28,678"	"33,080"	"32,655"	"26,820"	"14,081"	"18,965"	"7,704"	"12,727"	"13,121"
Belgium	325510	"7,342"	"3,945"	"5,608"	"6,991"	"4,124"	"3,549"	"4,921"	"3,345"	"4,465"	"13,003"
Belgium	333993	"4,709"	"6,401"	"11,890"	"9,201"	"6,726"	"13,083"	"10,255"	"13,500"	"9,578"	"9,643"
Belgium	339944	"6,148"	"6,879"	"7,016"	"7,744"	"6,924"	"11,701"	"7,974"	"9,445"	"12,365"	"6,919"
Belgium	333131	"2,266"	"2,364"	"3,645"	"5,453"	"4,761"	"3,628"	"7,256"	"7,441"	"6,779"	"9,924"
Belgium	333313	"7,925"	"10,042"	"12,611"	"8,091"	"4,177"	"6,357"	"11,843"	"8,303"	"9,647"	"12,702"
Belgium	325212	"47,652"	"51,930"	"46,530"	"50,133"	"35,033"	"35,983"	"40,530"	"49,021"	"25,061"	"25,818"
Belgium	31131X	575	257	299	705	290	495	"1,578"	"1,606"	"3,149"	"14,327"
Belgium	112920	"2,932"	"2,318"	"5,114"	"3,896"	"5,769"	"6,076"	"4,407"	"2,597"	"4,821"	"7,629"
Belgium	331315	"10,171"	"12,725"	"7,653"	"6,943"	"7,955"	"19,660"	"22,639"	"26,520"	"36,272"	"28,866"
Belgium	335228	"5,135"	"7,666"	"6,119"	"2,481"	"7,435"	"8,049"	"7,742"	"8,539"	"10,858"	"12,873"
Belgium	335314	"6,706"	"4,373"	"8,851"	"16,499"	"14,084"	"17,082"	"14,736"	"20,064"	"17,337"	"16,738"
Belgium	325320	"7,713"	"14,602"	"9,812"	"9,372"	"35,568"	"5,298"	"6,729"	"7,453"	"9,428"	"8,864"
Belgium	313320	"7,935"	"6,403"	"9,323"	"10,694"	"8,343"	"8,001"	"6,362"	"13,671"	"16,572"	"12,411"
Belgium	332312	374	640	"2,231"	"1,419"	"1,782"	"3,739"	"5,494"	"6,074"	"4,046"	"2,490"
Belgium	331316	"3,550"	"5,915"	"4,633"	"5,135"	"4,055"	"4,059"	"4,273"	"5,774"	"5,739"	"7,442"
Belgium	333618	"66,396"	"50,410"	"44,918"	"40,390"	"40,085"	"38,579"	"26,276"	"17,711"	"26,015"	"19,178"
Belgium	334220	700	"4,599"	"11,740"	"58,586"	"10,093"	"11,725"	"13,303"	"9,449"	"17,100"	"7,533"
Belgium	325611	"2,873"	"1,754"	"2,688"	"7,626"	"13,545"	"9,667"	"8,241"	"8,127"	"7,942"	"8,657"
Belgium	333294	"2,869"	"1,745"	"4,262"	"4,822"	"6,377"	"4,895"	"6,484"	"6,039"	"9,471"	"9,472"
Belgium	331511	"6,304"	"6,108"	"5,904"	"6,537"	"6,532"	"5,636"	"5,921"	"2,974"	"2,410"	"12,562"
Belgium	322121	"23,466"	"23,212"	"26,361"	"29,871"	"19,965"	"22,753"	"12,881"	"17,218"	"25,541"	"20,825"
Belgium	337127	"6,899"	"9,078"	"12,458"	"14,623"	"11,892"	"14,430"	"12,803"	"15,452"	"15,772"	"15,933"
Belgium	311119	141	271	135	912	542	"1,197"	"1,006"	"2,490"	"2,580"	"6,371"
Belgium	334516	"10,406"	"14,410"	"11,295"	"11,838"	"10,667"	"10,897"	"8,489"	"9,344"	"9,171"	"8,415"
Belgium	339991	"7,276"	"4,293"	"3,966"	"4,771"	"4,828"	"5,193"	"5,762"	"4,930"	"7,609"	"7,260"
Belgium	334515	"5,460"	"4,203"	"4,347"	"2,494"	"2,874"	"3,875"	"6,453"	"12,011"	"10,989"	"9,602"
Belgium	311920	386	793	532	609	313	400	321	"5,178"	"7,238"	"12,107"
Belgium	325132	"7,324"	"11,654"	"11,903"	"12,333"	"7,500"	"8,533"	"7,993"	"8,327"	"8,954"	"12,232"
Belgium	333220	"7,128"	"11,642"	"11,355"	"4,015"	"5,298"	"11,146"	"8,436"	"9,139"	"2,440"	"6,416"
Belgium	333314	"4,276"	"3,914"	"4,572"	"3,900"	"4,478"	"3,754"	"5,494"	"7,467"	"10,163"	"6,946"
Belgium	331222	"35,623"	"34,719"	"34,320"	"26,186"	"20,558"	"19,255"	"15,631"	"11,818"	"12,535"	"11,300"
Belgium	327215	"5,612"	"4,508"	"2,850"	"2,740"	"3,594"	"4,269"	"5,968"	"8,522"	"9,830"	"8,629"
Belgium	325222	"1,648"	"10,851"	"1,032"	"1,613"	"4,718"	"4,817"	"4,369"	"4,092"	"6,384"	"10,963"
Belgium	323119	"20,815"	"9,635"	"8,447"	"10,431"	"8,936"	"6,445"	"4,749"	"5,641"	"5,067"	"7,231"
Belgium	325613	"5,084"	"7,828"	"8,252"	"11,792"	"8,276"	"8,048"	"12,822"	"10,678"	"8,404"	"7,547"
Belgium	327212	"9,233"	"10,052"	"9,944"	"11,827"	"10,084"	"15,934"	"12,202"	"17,886"	"13,184"	"9,121"
Belgium	335312	"9,812"	"6,995"	"9,897"	"6,959"	"6,766"	"5,315"	"7,754"	"11,727"	"9,287"	"8,729"
Belgium	910000	"13,956"	"10,577"	"16,333"	"19,537"	"14,074"	"17,204"	"7,512"	"21,364"	"19,768"	"42,513"
Belgium	323117	"15,305"	"19,793"	"20,149"	"27,574"	"28,914"	"24,894"	"21,268"	"20,288"	"22,848"	"15,479"
Belgium	323118	915	"1,576"	987	"1,193"	"1,324"	857	148	403	777	"2,032"
Belgium	326299	"3,844"	"7,228"	"8,290"	"7,913"	"8,097"	"7,747"	"9,153"	"8,659"	"11,780"	"11,285"
Belgium	333511	"11,739"	"14,111"	"7,270"	"5,055"	"7,023"	"4,954"	"3,773"	"3,837"	"4,467"	"4,695"
Belgium	325520	"4,472"	"3,602"	"4,454"	"4,164"	"4,010"	"3,930"	"4,344"	"2,974"	"5,246"	"8,036"
Belgium	311999	"3,072"	"2,947"	"3,256"	"4,451"	"4,922"	"4,950"	"7,128"	"12,290"	"11,477"	"9,930"
Belgium	313230	227	275	"2,170"	"7,202"	"6,016"	"6,528"	"11,551"	"5,177"	"6,133"	"5,857"
Belgium	334290	"2,323"	"3,195"	"2,385"	"3,226"	"5,019"	"3,900"	"5,309"	"7,216"	"8,402"	"6,730"
Belgium	335931	"1,254"	"1,952"	"1,841"	"2,227"	"1,745"	"1,183"	"4,339"	"9,222"	"10,155"	"7,287"
Belgium	335912	"4,791"	"5,169"	"4,548"	"6,478"	"13,573"	"8,137"	"3,459"	"3,769"	"1,473"	898
Belgium	339113	"7,209"	"2,297"	"4,134"	"3,522"	"2,271"	"3,154"	"3,770"	"2,482"	"4,752"	"4,827"
Belgium	333613	"8,918"	"8,200"	"5,585"	"6,333"	"5,395"	"8,833"	"11,401"	"16,550"	"13,593"	"6,955"
Belgium	327211	"4,596"	"4,102"	"4,812"	"4,450"	"5,489"	"3,468"	"3,628"	"6,171"	"6,646"	"9,313"
Belgium	339920	"10,546"	"11,017"	"14,330"	"14,146"	"14,567"	"12,226"	"10,980"	"10,360"	"10,101"	"8,581"
Belgium	322299	434	107	627	865	336	"1,190"	"3,215"	"2,700"	"3,159"	"3,682"
Belgium	339999	"2,022"	"2,984"	"4,692"	"4,718"	"8,542"	"4,917"	"4,803"	"6,471"	"4,991"	"5,876"
Belgium	332510	"2,847"	"4,053"	"4,929"	"4,886"	"3,094"	"2,797"	"4,555"	"7,286"	"6,456"	"8,986"
Belgium	334412	"1,928"	"3,370"	"9,380"	"9,332"	"8,731"	"4,531"	"2,324"	"1,820"	"2,047"	"2,314"
Belgium	334417	"12,841"	"21,392"	"14,702"	"20,589"	"13,046"	"11,242"	"8,652"	"8,835"	"8,803"	"8,619"
Belgium	333923	"4,561"	"1,309"	"2,307"	"1,826"	"1,980"	"1,140"	338	"1,002"	"2,650"	"2,109"
Belgium	326220	"2,023"	"5,711"	"2,791"	"3,838"	"3,354"	"3,690"	"3,570"	"6,584"	"8,080"	"6,976"
Belgium	332618	"19,930"	"24,109"	"15,505"	"11,891"	"15,847"	"9,029"	"10,421"	"14,019"	"10,346"	"8,193"
Belgium	333512	"9,473"	"13,845"	"13,543"	"10,203"	"4,805"	"8,030"	"5,737"	"8,943"	"6,260"	"9,701"
Belgium	311421	"5,610"	"5,439"	"3,746"	"2,917"	"2,680"	"2,491"	"4,089"	"4,360"	"5,918"	"5,195"
Belgium	311340	"4,024"	"4,679"	"6,125"	"5,829"	"5,119"	"4,554"	"6,522"	"6,877"	"5,500"	"5,599"
Belgium	334513	"12,347"	"17,368"	"6,082"	"3,949"	"2,456"	"5,154"	"6,664"	"6,457"	"7,282"	"13,067"
Belgium	111219	"11,879"	"12,392"	"9,425"	"5,972"	"5,764"	"6,183"	"7,306"	"9,607"	"8,970"	"9,084"
Belgium	33631X	"2,329"	"4,545"	"3,605"	"3,532"	"3,279"	"4,146"	"5,817"	"6,650"	"8,590"	"9,702"
Belgium	335313	"4,603"	"4,369"	"6,445"	"6,629"	"7,209"	"6,622"	"4,091"	"5,966"	"5,565"	"5,529"
Belgium	331422	229	236	417	898	899	671	"1,232"	690	754	"1,821"
Belgium	327993	607	"9,663"	"9,977"	"17,689"	"10,945"	"6,411"	"1,132"	"2,023"	"4,108"	"4,690"
Belgium	326121	"5,790"	"5,158"	"3,778"	"3,975"	"2,461"	"2,639"	"3,486"	"5,164"	"6,062"	"6,718"
Belgium	332722	"2,437"	"3,181"	"2,457"	"3,029"	"2,660"	"1,959"	"2,858"	"3,436"	"4,165"	"4,230"
Belgium	314999	"8,887"	"10,198"	"8,109"	"5,566"	"4,642"	"4,917"	"6,010"	"4,588"	"4,404"	"4,141"
Belgium	327999	"10,112"	"12,435"	"15,302"	"14,478"	"9,263"	"5,345"	"5,312"	"6,982"	"4,879"	"4,505"
Belgium	322223	"1,457"	"1,697"	"1,275"	"2,001"	"2,032"	"2,081"	"2,361"	"2,368"	"2,222"	"3,399"
Belgium	333992	"6,120"	"6,525"	"4,271"	903	"2,217"	"7,510"	"4,029"	"1,579"	"1,547"	"2,447"
Belgium	313221	"1,100"	"2,077"	"2,555"	"1,584"	"1,522"	"2,519"	"2,671"	"4,146"	"7,166"	"6,461"
Belgium	332919	"1,110"	856	440	922	"2,637"	610	513	641	890	"1,281"
Belgium	334111	"2,242"	"3,965"	"2,191"	"6,159"	"6,941"	"3,212"	"5,633"	"5,047"	"4,412"	"4,488"
Belgium	313111	"2,293"	"2,273"	"3,212"	"3,774"	"3,367"	"4,347"	"2,682"	"4,807"	"3,595"	"3,206"
Belgium	335129	"2,039"	"1,758"	975	"5,061"	"5,952"	"1,338"	"1,831"	"4,695"	"5,233"	"3,304"
Belgium	333295	270	"1,307"	495	619	"1,690"	"1,238"	"2,366"	"2,112"	"2,110"	"5,321"
Belgium	327213	"6,806"	"5,555"	"7,176"	"11,363"	"4,127"	"4,878"	"6,639"	"8,697"	"7,799"	"8,601"
Belgium	315234	"1,910"	"1,854"	"1,844"	"1,864"	"2,180"	"1,713"	"1,910"	"1,891"	"2,010"	"2,278"
Belgium	314992	"24,308"	"19,641"	"14,953"	"9,542"	"2,046"	"1,678"	"6,085"	"15,851"	"3,822"	303
Belgium	327390	117	41	245	646	135	163	222	334	"2,752"	"4,605"
Belgium	335311	"5,658"	"4,639"	"10,834"	"16,192"	"11,196"	"22,953"	"7,650"	"3,744"	"1,772"	503
Belgium	336330	"4,885"	"3,296"	"2,739"	"1,988"	"2,545"	"3,276"	"2,448"	"4,299"	"5,165"	"4,935"
Belgium	312111	"1,783"	845	"1,632"	"3,184"	"4,497"	"3,447"	"3,221"	"2,830"	"2,566"	"2,977"
Belgium	326122	"1,426"	"1,359"	"1,488"	"1,031"	"1,064"	945	"2,237"	"3,197"	"1,802"	"2,902"
Belgium	336991	412	479	436	558	694	"1,204"	"1,960"	"1,979"	"2,384"	"2,385"
Belgium	333611	"2,079"	"1,771"	"2,632"	"21,725"	"2,254"	"13,781"	"23,859"	"19,403"	"1,229"	"1,646"
Belgium	332410	"1,189"	"2,148"	553	"3,214"	"4,233"	"7,822"	"1,938"	857	"6,408"	"1,761"
Belgium	332992	"1,640"	147	172	"3,051"	"13,353"	"1,589"	"1,885"	"3,888"	"5,894"	"7,428"
Belgium	339994	"1,170"	"2,314"	"1,891"	"1,326"	"1,740"	"1,463"	"2,297"	"2,206"	"2,577"	"3,705"
Belgium	311514	301	68	93	"1,329"	"1,518"	"1,203"	"1,648"	"1,500"	"1,028"	782
Belgium	333922	"2,173"	"4,003"	"1,966"	"1,180"	"2,426"	"2,888"	"2,029"	"1,503"	"2,090"	"2,797"
Belgium	325191	"2,432"	"2,422"	"2,615"	"3,105"	"1,777"	"1,974"	"2,343"	"2,449"	"2,288"	"2,060"
Belgium	333994	"3,675"	"1,677"	"2,583"	"1,042"	"3,900"	"1,525"	"2,031"	"4,893"	"2,554"	"5,290"
Belgium	332991	676	851	278	"1,135"	596	"1,521"	"2,501"	"3,834"	"3,887"	"4,530"
Belgium	316110	"4,121"	"4,391"	"2,723"	"4,711"	"3,812"	"1,926"	"2,884"	"2,300"	"2,594"	"2,075"
Belgium	332212	"2,310"	"2,235"	"2,741"	"4,415"	"4,232"	"4,234"	"2,532"	"2,869"	"3,061"	"3,060"
Belgium	334510	521	"1,308"	"9,453"	"18,564"	"11,417"	"11,126"	"5,459"	"4,193"	"34,378"	"5,270"
Belgium	327991	209	699	"1,114"	977	865	"1,410"	"2,392"	"2,837"	"3,662"	"2,647"
Belgium	336321	"4,683"	"3,105"	"1,303"	"1,135"	"1,317"	"2,030"	"2,573"	"3,513"	"12,174"	"11,667"
Belgium	334511	558	353	476	900	"1,995"	105	"1,087"	"1,618"	"1,660"	"1,091"
Belgium	112990	574	"1,206"	720	531	892	904	"1,241"	"1,394"	"1,785"	"1,953"
Belgium	335121	401	564	329	507	641	574	839	"1,115"	"1,163"	"1,525"
Belgium	332439	841	834	606	846	696	401	859	673	936	768
Belgium	314129	"2,902"	"5,682"	"6,420"	"7,860"	"5,488"	"4,301"	"5,073"	"3,816"	"3,169"	"2,398"
Belgium	311213	"1,144"	742	557	636	489	467	696	782	918	840
Belgium	325920	337	515	652	971	628	"1,131"	"1,611"	"1,282"	"1,419"	"1,712"
Belgium	315232	949	"1,052"	"1,037"	"1,246"	"1,541"	"1,347"	"1,281"	"1,359"	"1,111"	"1,213"
Belgium	337215	362	"1,389"	530	"2,067"	972	"1,895"	"1,415"	"2,091"	"1,798"	"4,436"
Belgium	312130	"1,714"	"2,060"	"3,722"	"2,648"	"4,551"	"5,879"	"3,287"	"2,966"	"1,301"	"2,327"
Belgium	111421	"2,156"	"1,737"	"1,842"	"2,035"	"2,011"	"1,978"	"2,648"	"3,090"	"3,945"	"3,344"
Belgium	322122	"14,600"	"7,480"	"2,893"	"4,912"	"6,291"	"1,682"	305	"1,879"	"5,666"	"5,077"
Belgium	332995	"3,428"	"2,566"	425	755	"4,486"	"3,101"	680	"2,062"	"1,728"	"1,061"
Belgium	333132	121	162	93	208	419	410	767	235	673	"1,047"
Belgium	325311	"8,882"	"2,714"	"4,279"	"5,292"	"2,908"	"2,210"	"2,042"	"2,183"	"3,970"	"2,609"
Belgium	327910	"9,830"	"9,555"	"6,891"	"8,629"	"6,860"	"5,780"	"8,320"	"8,080"	"6,747"	"3,881"
Belgium	327125	535	759	299	"1,101"	574	933	684	"2,642"	718	"1,198"
Belgium	311222	130	297	331	135	116	912	"1,456"	"1,159"	"1,245"	"1,429"
Belgium	321918	226	80	174	564	"1,860"	"6,427"	"2,643"	"1,359"	959	935
Belgium	332311	"1,874"	759	"2,650"	704	241	57	104	4	167	111
Belgium	337124	59	137	114	382	270	215	695	"1,007"	"1,318"	872
Belgium	325182	484	221	310	"1,435"	831	386	"1,061"	"1,351"	"1,671"	"1,704"
Belgium	311513	"3,133"	"3,487"	"4,040"	"2,964"	"1,700"	"3,403"	"1,232"	"1,124"	"1,525"	510
Belgium	334514	201	130	160	49	52	45	157	161	159	616
Belgium	331411	813	272	589	413	299	653	227	220	"32,503"	626
Belgium	336211	124	174	3	5	158	12	2	11	0	3
Belgium	312140	891	603	506	894	"1,259"	"1,051"	"1,045"	"1,243"	"1,525"	"1,120"
Belgium	315239	"1,724"	"1,742"	"1,170"	"1,326"	"1,631"	"1,467"	"1,368"	"1,587"	"1,532"	"1,819"
Belgium	333996	"5,992"	"6,951"	"4,177"	"2,979"	"1,858"	"2,486"	"3,070"	"2,474"	"2,205"	"1,925"
Belgium	113210	111	315	156	15	251	274	581	495	798	428
Belgium	311512	244	"1,052"	"1,122"	619	917	884	832	886	"1,107"	806
Belgium	327112	507	485	437	642	819	"1,344"	"1,812"	"1,168"	"1,301"	919
Belgium	326160	722	"1,025"	347	665	"1,924"	"1,283"	514	"1,658"	294	"2,272"
Belgium	312221	9	0	60	"3,883"	713	684	485	772	951	"1,153"
Belgium	315233	582	864	649	558	718	383	404	306	342	476
Belgium	332420	"2,820"	263	"6,459"	686	"1,337"	"1,288"	728	"2,408"	"3,323"	"3,674"
Belgium	339932	"2,954"	"2,259"	"4,937"	"7,767"	"3,842"	"3,374"	"2,922"	"1,861"	"1,256"	"1,048"
Belgium	312229	975	716	934	17	497	802	"1,332"	676	847	"1,100"
Belgium	333514	939	916	"1,737"	"1,119"	"1,255"	"1,145"	"1,128"	"2,194"	"1,154"	863
Belgium	332323	"3,226"	"3,352"	"5,782"	"4,243"	"5,437"	"4,133"	"2,962"	"1,152"	"3,347"	"2,260"
Belgium	311611	"15,964"	"11,193"	"8,305"	"11,458"	"11,482"	"9,080"	"4,164"	"3,816"	"3,059"	"1,392"
Belgium	339942	346	248	422	601	510	713	"1,018"	765	638	837
Belgium	326211	"6,157"	"5,256"	"10,690"	"18,492"	"15,480"	"15,125"	"5,690"	"4,056"	"2,363"	"2,370"
Belgium	333315	"9,005"	"7,458"	"12,801"	"13,695"	"5,470"	"4,304"	"5,979"	"5,213"	"5,267"	"5,112"
Belgium	333210	"2,397"	"2,512"	"1,731"	"1,037"	483	"1,197"	909	783	"1,828"	"1,261"
Belgium	333291	"3,864"	"3,441"	"5,611"	"1,811"	"2,710"	"3,641"	"1,719"	"1,204"	"1,327"	"1,299"
Belgium	339115	467	415	507	754	843	907	903	"1,020"	"1,321"	"1,282"
Belgium	325120	"2,468"	"1,938"	"1,395"	"2,147"	"1,944"	503	890	862	722	870
Belgium	314991	174	192	218	92	61	141	259	231	"2,738"	"6,687"
Belgium	325910	557	337	229	"1,982"	"2,518"	675	"1,354"	"4,986"	"1,528"	"2,028"
Belgium	325612	668	654	"1,057"	"1,092"	"1,096"	525	"2,197"	"1,237"	"12,247"	767
Belgium	333412	246	786	438	443	226	167	203	216	152	380
Belgium	335991	106	28	82	"1,252"	"2,734"	"1,573"	793	937	519	"1,084"
Belgium	333921	458	37	50	45	323	776	676	752	"1,235"	650
Belgium	332431	0	0	5	3	3	26	22	53	21	134
Belgium	335211	545	"1,361"	281	"1,065"	643	541	904	364	525	805
Belgium	332213	"1,848"	"1,998"	"2,552"	"1,581"	"1,678"	"1,613"	"1,723"	"2,384"	"1,345"	995
Belgium	311211	0	75	7	85	134	50	65	65	143	733
Belgium	322211	680	352	495	448	148	109	240	502	880	742
Belgium	316214	"1,646"	"1,011"	873	979	747	590	"1,472"	"1,019"	786	582
Belgium	337121	369	359	296	704	985	828	682	851	653	"1,078"
Belgium	311223	227	78	686	990	38	"1,280"	"6,606"	"26,916"	"37,398"	"45,928"
Belgium	332611	420	607	878	891	954	690	617	668	615	717
Belgium	339912	92	340	185	848	191	250	334	257	273	371
Belgium	212393	130	70	85	961	593	431	325	365	235	620
Belgium	311911	245	192	212	344	385	241	87	54	499	738
Belgium	336360	445	404	563	567	265	193	239	360	41	51
Belgium	112930	"1,534"	772	642	712	287	367	455	353	507	762
Belgium	114111	"1,666"	"2,193"	"2,445"	784	867	"1,422"	"1,056"	"1,456"	"1,018"	212
Belgium	331421	950	"2,862"	"1,065"	"3,179"	"2,133"	"1,377"	538	458	650	552
Belgium	336340	"1,463"	"1,161"	"1,278"	839	"1,480"	"1,150"	"1,331"	"1,112"	899	534
Belgium	321911	60	37	154	81	36	205	400	593	530	864
Belgium	336612	100	92	"1,479"	"1,600"	"1,154"	603	451	611	97	230
Belgium	334612	"1,044"	863	908	649	552	"3,047"	"3,188"	"1,656"	"1,270"	"1,723"
Belgium	111339	0	105	374	47	543	68	604	123	"4,973"	"3,932"
Belgium	333311	168	16	27	66	410	"1,186"	"1,032"	65	518	21
Belgium	315999	"1,738"	"2,033"	"1,809"	"1,802"	"1,981"	685	476	834	744	655
Belgium	311613	234	135	284	736	423	508	929	138	136	396
Belgium	332998	813	967	930	759	537	458	865	926	508	865
Belgium	315228	596	428	570	453	440	444	413	420	332	471
Belgium	321211	"2,012"	"1,951"	"2,023"	"2,166"	"1,536"	"1,551"	"1,416"	"2,604"	"2,236"	"1,476"
Belgium	321999	572	686	826	"1,557"	"1,545"	"1,125"	"1,249"	852	923	"1,054"
Belgium	337214	90	165	373	607	658	444	673	"1,199"	577	171
Belgium	332211	659	92	175	333	295	839	695	224	193	84
Belgium	339992	242	248	452	273	737	264	397	654	556	"1,120"
Belgium	311212	54	73	321	207	183	90	115	125	141	476
Belgium	333991	"2,381"	"2,152"	"1,364"	"1,232"	"1,767"	"1,656"	"1,540"	"1,661"	556	973
Belgium	339114	230	145	342	432	309	300	703	"1,326"	"1,098"	854
Belgium	331312	690	"2,179"	468	97	324	697	42	"1,215"	152	727
Belgium	212322	9	15	98	117	73	103	229	283	206	172
Belgium	335911	"5,745"	"5,561"	"2,243"	"2,594"	"1,172"	327	84	188	438	175
Belgium	316213	337	255	456	357	273	218	303	397	359	332
Belgium	314121	19	181	334	533	218	333	65	157	165	92
Belgium	322110	57	45	47	96	0	63	36	"2,817"	148	176
Belgium	322291	193	179	83	71	"1,543"	"2,023"	452	"1,237"	333	311
Belgium	333298	"1,554"	"2,640"	"2,978"	"1,471"	91	422	785	324	156	118
Belgium	334518	682	790	968	884	784	"1,365"	723	665	754	558
Belgium	311942	44	53	30	62	31	53	8	82	118	22
Belgium	316999	535	269	197	348	342	244	416	244	326	290
Belgium	332214	170	247	756	283	238	10	18	211	173	306
Belgium	334416	557	517	"1,888"	832	"1,078"	"1,596"	"2,174"	"1,606"	"1,007"	745
Belgium	333516	621	257	174	40	427	750	339	130	714	"2,086"
Belgium	316991	268	158	307	597	455	"1,837"	315	196	195	554
Belgium	315222	542	264	292	269	192	111	118	193	201	223
Belgium	111998	111	221	290	314	197	208	43	210	119	146
Belgium	315223	342	592	251	600	407	258	246	204	810	547
Belgium	336419	49	"1,406"	287	398	78	29	305	234	42	880
Belgium	332321	45	32	320	554	257	11	125	10	233	22
Belgium	334415	"2,796"	"2,878"	"1,850"	"5,683"	"2,930"	"1,959"	"1,979"	"2,532"	"2,233"	"1,202"
Belgium	332115	77	154	115	135	26	194	94	226	75	428
Belgium	315292	184	345	"1,051"	654	903	475	307	281	261	242
Belgium	112420	543	684	866	724	663	532	369	246	464	717
Belgium	315231	"1,140"	"1,238"	"1,632"	"1,863"	"1,720"	"1,824"	"1,263"	"1,197"	"1,790"	"1,217"
Belgium	311823	"1,249"	"1,334"	936	569	266	159	179	127	154	250
Belgium	327992	126	350	33	75	116	92	968	123	106	124
Belgium	333515	394	"1,020"	"1,149"	"1,235"	789	605	614	784	617	"1,000"
Belgium	337211	577	293	512	773	437	246	505	673	765	289
Belgium	511210	743	845	"1,430"	867	429	152	166	255	341	421
Belgium	339950	90	158	139	60	65	16	73	103	32	56
Belgium	332913	47	143	98	54	173	142	720	298	34	95
Belgium	327124	868	840	570	444	435	183	215	481	102	722
Belgium	335932	"1,434"	470	242	360	457	365	579	"1,667"	"1,527"	680
Belgium	312112	"1,149"	828	885	621	655	348	317	666	215	190
Belgium	336992	59	7	269	16	"1,578"	99	370	239	15	0
Belgium	311822	0	0	23	6	0	8	14	17	34	109
Belgium	322233	49	20	25	26	191	194	528	283	177	158
Belgium	311711	32	111	197	14	179	131	493	352	276	0
Belgium	327122	162	91	71	136	355	442	38	34	90	209
Belgium	339993	603	197	135	115	87	183	173	195	205	124
Belgium	315224	369	"1,252"	284	343	226	204	349	147	186	277
Belgium	321213	217	614	606	737	612	343	870	732	139	280
Belgium	336370	33	47	272	10	199	529	577	274	493	116
Belgium	321113	35	31	48	527	125	264	219	83	300	288
Belgium	313249	"2,495"	"1,962"	"1,761"	"1,534"	"2,231"	"5,690"	"11,056"	"6,181"	"3,032"	"1,786"
Belgium	333411	10	25	8	265	"2,236"	"4,610"	"4,821"	"2,845"	735	302
Belgium	334112	"79,354"	"25,954"	"8,749"	"16,679"	"16,950"	"2,850"	"6,659"	"11,059"	"6,773"	"4,251"
Belgium	322212	125	278	56	179	148	257	188	258	242	476
Belgium	315291	105	67	60	143	182	75	193	109	51	51
Belgium	322213	88	25	32	3	29	59	30	41	48	6
Belgium	339914	5	64	117	91	116	74	99	879	149	469
Belgium	111991	55	36	"2,062"	"1,667"	"3,022"	65	652	217	926	"2,118"
Belgium	334414	"8,767"	"7,833"	"7,651"	"9,666"	"6,359"	"3,522"	"2,802"	"3,023"	"2,748"	"1,327"
Belgium	333319	285	35	75	60	176	"2,932"	302	492	"3,500"	"1,423"
Belgium	313113	24	24	62	0	1	2	0	20	5	7
Belgium	321920	148	54	164	384	534	112	128	286	687	191
Belgium	333997	182	172	116	76	20	701	43	17	"1,434"	306
Belgium	321212	56	167	33	134	28	76	105	96	489	143
Belgium	315991	729	43	142	56	58	43	102	124	60	151
Belgium	332997	91	0	2	2	33	11	64	268	0	29
Belgium	313312	29	1	0	76	75	166	183	422	489	110
Belgium	212319	42	58	45	14	9	45	47	100	72	92
Belgium	335212	"5,026"	"8,223"	"8,722"	214	57	225	70	57	13	168
Belgium	334613	218	"7,468"	"24,987"	"17,502"	"17,541"	"17,378"	"6,256"	15	459	70
Belgium	336510	79	234	242	"2,637"	651	3	48	"2,208"	20	192
Belgium	335221	230	275	241	454	225	"1,052"	"1,914"	"2,678"	"3,044"	"8,150"
Belgium	212325	7	30	5	0	73	0	47	13	0	50
Belgium	311230	53	0	0	6	0	19	91	171	385	122
Belgium	323116	0	0	0	0	0	0	0	0	0	0
Belgium	333913	701	417	52	256	171	117	158	31	127	73
Belgium	331311	"1,039"	110	"1,030"	363	260	"2,219"	27	305	44	844
Belgium	315221	28	10	29	23	19	125	16	11	10	33
Belgium	31511X	31	21	44	71	66	89	43	40	83	32
Belgium	331314	83	67	63	13	19	2	5	11	66	36
Belgium	335921	13	0	4	42	"1,630"	176	126	132	26	141
Belgium	334512	26	207	39	198	55	180	122	64	74	141
Belgium	316219	9	33	28	16	130	18	114	12	41	109
Belgium	314912	8	17	33	46	151	326	45	112	21	70
Belgium	327410	0	0	0	6	6	24	10	23	25	121
Belgium	322215	"1,744"	998	193	360	579	135	26	58	86	90
Belgium	331112	467	718	784	"1,897"	"1,298"	"1,406"	"1,045"	965	"3,706"	72
Belgium	326191	7	3	88	50	44	15	24	71	8	3
Belgium	113310	0	3	78	47	33	53	8	57	16	0
Belgium	337110	17	6	41	96	74	31	29	50	47	20
Belgium	325221	"1,318"	995	"2,069"	"2,571"	"4,135"	"4,543"	"4,785"	"4,233"	"1,450"	66
Belgium	323122	54	377	357	135	38	54	182	190	262	410
Belgium	326212	24	9	72	71	40	5	0	10	22	1
Belgium	324122	0	20	0	9	0	38	403	206	647	383
Belgium	339941	271	165	126	174	247	277	72	62	91	149
Belgium	314911	243	55	131	418	97	14	734	"1,221"	280	390
Belgium	111910	82	16	32	92	28	648	88	156	129	289
Belgium	316992	283	350	733	776	479	183	141	112	58	102
Belgium	336214	46	65	253	703	561	604	470	324	241	308
Belgium	322232	7	14	105	10	0	18	2	2	14	10
Belgium	335222	1	0	12	0	160	280	13	30	25	160
Belgium	337920	486	515	523	66	174	77	7	30	51	176
Belgium	334411	"1,559"	"2,456"	"2,750"	"1,804"	"2,205"	"1,135"	"1,609"	"2,662"	228	247
Belgium	337910	147	347	621	203	919	"1,340"	595	295	282	145
Belgium	111422	10	13	12	29	6	9	4	0	130	25
Belgium	11211X	4	5	5	15	21	0	0	0	0	0
Belgium	212399	5	5	507	23	0	127	367	14	66	6
Belgium	114112	0	102	18	148	200	19	197	285	3	23
Belgium	327121	0	0	3	6	0	0	0	5	0	65
Belgium	312113	0	327	0	11	0	2	0	0	12	3
Belgium	327123	0	0	0	0	0	0	13	0	103	0
Belgium	316993	57	34	27	57	56	26	42	15	28	38
Belgium	111411	0	2	2	0	0	0	9	0	0	0
Belgium	327420	4	0	393	2	3	0	0	48	21	0
Belgium	336411	14	12	0	9	64	0	46	0	60	220
Belgium	311941	21	73	9	30	126	126	128	65	5	47
Belgium	212311	10	7	42	9	14	88	220	33	66	58
Belgium	311520	0	0	0	0	0	5	37	200	39	0
Belgium	114119	206	321	106	67	84	8	118	45	0	298
Belgium	315993	7	6	5	9	7	1	10	2	5	14
Belgium	327310	"2,781"	"12,438"	"6,163"	"1,040"	987	606	574	859	189	29
Belgium	311423	299	189	278	275	202	53	57	25	309	28
Belgium	111335	58	0	4	0	0	8	12	6	11	101
Belgium	315992	11	7	26	2	32	3	3	38	15	5
Belgium	336391	67	32	10	54	73	275	24	235	42	655
Belgium	332322	0	0	5	4	36	131	71	92	0	32
Belgium	316211	64	55	1	3	0	4	6	6	4	5
Belgium	327111	0	0	114	0	226	0	220	34	8	80
Belgium	331319	380	409	354	283	19	32	46	9	14	3
Belgium	316212	0	0	0	1	1	1	0	0	5	1
Belgium	111120	0	192	0	0	0	13	31	189	56	0
Belgium	111130	43	96	27	0	9	17	0	0	46	88
Belgium	111140	0	0	0	0	0	0	0	19	139	64
Belgium	111333	0	318	46	306	0	0	0	0	0	0
Belgium	339943	24	0	0	0	0	9	0	62	28	0
Belgium	339931	19	22	52	46	136	64	35	80	317	118
Belgium	337129	0	0	0	0	117	0	0	0	0	0
Belgium	336611	0	10	0	0	745	0	5	0	"2,156"	70
Belgium	336415	0	0	14	0	0	4	675	0	0	0
Belgium	336213	478	0	0	0	0	0	0	0	0	0
Belgium	336212	0	280	0	220	0	25	138	10	6	81
Belgium	327331	0	0	2	0	0	63	3	0	81	0
Belgium	327113	410	108	519	266	141	449	404	116	323	20
Belgium	326112	1	0	25	438	4	80	5	0	4	1
Belgium	325193	141	0	325	0	490	326	5	3	0	0
Belgium	324121	0	0	0	0	0	0	8	0	0	0
Belgium	322224	0	2	8	0	0	48	62	22	0	52
Belgium	322214	5	2	6	47	61	0	0	0	0	53
Belgium	322130	0	0	0	22	0	13	0	0	0	0
Belgium	321992	0	16	25	0	2	3	166	252	7	201
Belgium	321114	0	0	0	0	0	0	0	0	0	3
Belgium	311930	0	0	0	10	14	9	"1,065"	508	103	8
Belgium	311919	9	29	9	19	12	29	11	2	21	23
Belgium	311615	0	162	0	0	0	0	0	0	0	0
Belgium	212234	0	0	0	0	0	0	6	0	0	0
Belgium	212231	0	0	0	0	0	0	0	0	0	0
Belgium	212112	785	520	"1,365"	0	0	0	0	0	0	0
Belgium	211111	0	0	0	0	0	0	359	0	0	0
Belgium	112910	0	0	0	0	3	8	17	0	13	3
Belgium	112511	25	64	11	56	103	0	0	0	0	0
Belgium	112410	261	157	0	0	0	0	0	62	0	0
Belgium	1123XX	0	0	0	0	4	0	0	0	0	0
Belgium	111920	0	0	0	0	0	0	0	0	0	0
Belgium	311511	5	0	0	0	0	0	0	0	0	0
Belgium	311422	0	0	0	4	8	18	12	10	0	0
Belgium	311225	0	0	0	83	165	100	92	55	124	79
Belgium	311111	14	2	0	0	0	0	33	304	17	17
Belgium	212391	0	0	0	13	0	0	0	0	0	0
Belgium	212324	0	0	0	11	4	0	0	3	7	0
Belgium	212299	129	70	820	284	79	230	344	415	129	333
Belgium	111334	0	0	37	0	0	0	0	0	0	0
Belgium	111199	10	0	0	8	0	0	0	21	77	0
Brazil	211111	"1,951"	0	"3,551"	"44,446"	"82,331"	"231,093"	"500,101"	"628,091"	"1,264,739"	"2,546,467"
Brazil	331111	"1,008,337"	"1,045,316"	"1,002,738"	"1,239,925"	"1,032,496"	"1,160,414"	"983,203"	"2,282,821"	"2,553,855"	"2,721,886"
Brazil	336411	"281,514"	"782,683"	"1,163,142"	"1,435,020"	"1,910,694"	"1,829,638"	"1,818,414"	"2,479,052"	"1,770,123"	"1,155,681"
Brazil	324110	"148,045"	"302,708"	"340,375"	"833,147"	"1,090,459"	"801,086"	"1,324,048"	"1,150,159"	"1,615,669"	"1,168,049"
Brazil	322110	"269,937"	"295,635"	"333,874"	"476,353"	"386,714"	"347,820"	"438,208"	"446,294"	"533,170"	"577,831"
Brazil	111339	"456,212"	"374,306"	"477,780"	"264,787"	"179,756"	"227,366"	"289,268"	"333,560"	"484,575"	"548,591"
Brazil	333618	"442,491"	"408,059"	"395,318"	"374,383"	"241,051"	"470,506"	"575,692"	"658,343"	"906,152"	"1,129,567"
Brazil	980000	"147,603"	"155,446"	"376,010"	"699,953"	"529,174"	"563,664"	"829,586"	"531,691"	"722,785"	"678,361"
Brazil	333111	"22,546"	"18,033"	"12,482"	"23,924"	"42,792"	"49,296"	"55,303"	"97,483"	"129,538"	"83,453"
Brazil	327991	"39,734"	"55,027"	"69,546"	"104,198"	"115,080"	"162,086"	"219,555"	"321,211"	"462,704"	"628,970"
Brazil	333120	"138,143"	"200,910"	"159,641"	"109,914"	"114,059"	"145,719"	"198,830"	"470,410"	"604,581"	"712,007"
Brazil	325193	"3,194"	"1,452"	0	"8,365"	"4,400"	"7,906"	"9,603"	"95,286"	"96,696"	"1,029,773"
Brazil	316214	"1,022,259"	"924,582"	"863,134"	"1,012,633"	"1,042,404"	"956,346"	"903,472"	"905,942"	"853,840"	"758,077"
Brazil	311611	"94,966"	"145,574"	"168,248"	"104,702"	"120,683"	"182,402"	"215,048"	"246,072"	"257,227"	"347,366"
Brazil	331419	"459,659"	"380,729"	"396,612"	"513,719"	"325,231"	"270,043"	"267,779"	"405,025"	"386,360"	"342,812"
Brazil	326211	"134,752"	"156,216"	"213,057"	"175,914"	"126,078"	"137,332"	"158,128"	"161,141"	"185,424"	"206,543"
Brazil	335312	"72,530"	"95,502"	"97,134"	"87,342"	"109,577"	"107,068"	"177,974"	"132,765"	"297,887"	"364,346"
Brazil	211112	"4,901"	0	493	"6,609"	"13,796"	"66,141"	"48,840"	"33,611"	"90,549"	"65,392"
Brazil	111910	"226,879"	"77,233"	"165,103"	"139,973"	"154,864"	"212,139"	"261,999"	"203,783"	"163,465"	"240,626"
Brazil	331112	"86,214"	"74,965"	"68,206"	"67,537"	"61,677"	"64,949"	"68,530"	"78,340"	"100,960"	"149,224"
Brazil	321113	"148,499"	"180,017"	"226,137"	"218,053"	"241,939"	"244,165"	"258,651"	"388,977"	"403,022"	"366,034"
Brazil	325199	"163,910"	"174,254"	"189,450"	"245,859"	"203,718"	"202,149"	"220,954"	"180,438"	"272,883"	"193,421"
Brazil	325192	"40,509"	"27,123"	"34,985"	"55,911"	"27,883"	"61,786"	"43,019"	"68,862"	"93,209"	"107,794"
Brazil	331312	"39,973"	"68,893"	"101,828"	"116,892"	"89,732"	"84,151"	"121,041"	"407,828"	"368,445"	"331,640"
Brazil	333415	"199,147"	"225,739"	"255,147"	"258,348"	"235,988"	"298,355"	"302,664"	"305,170"	"327,957"	"279,420"
Brazil	212210	"131,051"	"168,866"	"137,512"	"150,164"	"104,110"	"135,197"	"118,004"	"140,426"	"178,356"	"227,965"
Brazil	331311	"24,614"	"16,626"	"16,196"	"18,373"	"22,934"	"4,599"	"7,950"	115	181	"22,410"
Brazil	336340	"86,253"	"85,840"	"90,328"	"94,405"	"89,685"	"108,852"	"150,537"	"231,142"	"295,868"	"267,859"
Brazil	311411	"112,738"	"137,748"	"186,662"	"106,330"	"79,091"	"69,149"	"139,042"	"78,860"	"174,838"	"176,227"
Brazil	321918	"41,068"	"57,422"	"104,133"	"107,159"	"130,325"	"171,368"	"184,239"	"360,898"	"343,622"	"406,482"
Brazil	334220	"4,702"	"20,516"	"46,649"	"344,737"	"863,288"	"1,021,851"	"966,482"	"348,859"	"728,806"	"511,281"
Brazil	336399	"112,479"	"116,998"	"125,499"	"127,549"	"117,877"	"136,816"	"159,141"	"170,182"	"172,517"	"159,555"
Brazil	212299	"63,174"	"54,925"	"48,548"	"48,466"	"43,524"	"24,344"	"34,597"	"75,824"	"114,847"	"89,699"
Brazil	336350	"132,542"	"165,834"	"228,201"	"168,422"	"108,466"	"127,947"	"120,765"	"193,470"	"240,570"	"285,213"
Brazil	314129	"39,890"	"45,206"	"49,851"	"80,450"	"97,203"	"171,044"	"194,991"	"197,049"	"232,900"	"181,399"
Brazil	325110	"14,256"	"24,032"	"14,353"	"10,860"	"17,011"	"61,001"	"35,335"	"23,163"	"32,018"	"16,516"
Brazil	33631X	"116,849"	"97,876"	"97,146"	"91,977"	"87,071"	"95,520"	"94,308"	"89,247"	"99,426"	"136,112"
Brazil	322233	"9,676"	"23,842"	"36,034"	"35,949"	"46,468"	"15,565"	"27,474"	"19,582"	"27,447"	"48,493"
Brazil	321213	"10,533"	"11,178"	"16,734"	"24,662"	"39,059"	"66,869"	"88,915"	"136,352"	"129,124"	"200,239"
Brazil	311421	"20,492"	"13,238"	"23,890"	"37,217"	"19,334"	"25,444"	"39,057"	"47,026"	"46,526"	"74,751"
Brazil	111335	"134,534"	"108,346"	"104,435"	"141,998"	"88,754"	"80,655"	"111,047"	"147,501"	"153,093"	"141,322"
Brazil	332999	"21,894"	"34,438"	"38,709"	"40,893"	"49,566"	"69,317"	"78,434"	"111,163"	"114,671"	"133,860"
Brazil	316110	"61,593"	"62,342"	"69,468"	"73,433"	"83,439"	"93,751"	"114,473"	"144,251"	"147,102"	"159,208"
Brazil	311320	"32,763"	"38,655"	"23,163"	"38,390"	"40,852"	"45,628"	"122,970"	"120,032"	"146,583"	"146,884"
Brazil	311920	"48,288"	"49,887"	"52,647"	"48,505"	"44,584"	"39,900"	"56,445"	"47,234"	"68,531"	"76,722"
Brazil	337127	"51,792"	"53,086"	"69,798"	"93,065"	"121,632"	"176,242"	"193,556"	"262,389"	"296,033"	"207,345"
Brazil	332994	"30,540"	"26,735"	"33,681"	"36,406"	"32,829"	"52,005"	"37,619"	"49,261"	"48,998"	"63,875"
Brazil	31131X	"122,165"	"127,812"	"114,558"	"73,171"	"83,971"	"58,631"	"75,255"	"75,021"	"150,410"	"128,418"
Brazil	325998	"70,090"	"59,497"	"41,979"	"44,232"	"47,132"	"49,632"	"66,782"	"61,083"	"78,541"	"91,934"
Brazil	325212	"26,874"	"20,650"	"13,670"	"20,039"	"29,486"	"37,632"	"47,611"	"41,813"	"84,833"	"84,109"
Brazil	332911	"20,160"	"26,563"	"27,015"	"23,271"	"26,644"	"32,490"	"35,341"	"58,598"	"68,862"	"127,383"
Brazil	325211	"26,524"	"22,630"	"16,673"	"26,235"	"20,075"	"32,656"	"45,561"	"45,338"	"83,890"	"108,851"
Brazil	990000	"15,900"	"22,297"	"33,128"	"37,786"	"38,664"	"43,864"	"52,329"	"60,180"	"78,508"	"82,480"
Brazil	335311	636	"1,154"	"1,930"	"32,322"	"39,390"	"44,320"	"31,077"	"32,872"	"31,596"	"38,638"
Brazil	339113	"6,416"	"7,282"	"5,751"	"8,961"	"6,535"	"4,228"	"4,145"	"22,515"	"72,868"	"69,947"
Brazil	327122	"33,518"	"37,412"	"51,780"	"66,964"	"69,005"	"93,440"	"113,307"	"147,342"	"180,824"	"190,103"
Brazil	336510	419	838	"6,376"	"12,367"	"14,699"	"31,424"	"18,730"	"25,522"	"46,122"	"79,836"
Brazil	321911	"23,242"	"20,895"	"28,878"	"33,766"	"47,709"	"55,317"	"47,534"	"63,786"	"85,480"	"90,318"
Brazil	114112	"53,674"	"47,725"	"61,760"	"111,758"	"126,694"	"163,171"	"167,960"	"121,829"	"89,105"	"82,570"
Brazil	333612	"9,722"	"10,065"	"11,109"	"11,894"	"8,414"	"10,063"	"16,666"	"26,513"	"40,570"	"45,057"
Brazil	336413	"21,990"	"35,816"	"35,683"	"32,195"	"38,715"	"17,096"	"25,927"	"28,051"	"33,890"	"45,045"
Brazil	321211	"113,620"	"70,512"	"81,906"	"98,724"	"89,639"	"103,529"	"117,464"	"156,980"	"111,904"	"95,865"
Brazil	333613	"21,883"	"25,098"	"34,160"	"39,120"	"29,143"	"37,880"	"43,521"	"63,616"	"62,433"	"62,971"
Brazil	325188	"40,843"	"32,583"	"37,776"	"59,863"	"68,494"	"42,150"	"35,666"	"40,824"	"29,387"	"43,646"
Brazil	322121	"41,140"	"62,294"	"44,455"	"33,044"	"34,462"	"46,305"	"56,622"	"103,501"	"107,567"	"110,399"
Brazil	331315	"7,075"	"3,026"	"8,074"	"11,425"	"8,922"	"5,201"	"26,190"	"55,298"	"77,767"	"102,172"
Brazil	327910	"6,607"	"10,679"	"11,195"	"22,178"	"16,686"	"30,515"	"37,837"	"55,510"	"53,965"	"61,668"
Brazil	331511	"22,159"	"37,767"	"26,039"	"22,204"	"20,895"	"23,340"	"28,294"	"36,350"	"46,198"	"51,956"
Brazil	325411	"7,852"	"13,920"	"12,640"	"15,450"	"6,244"	"9,281"	"4,282"	"17,093"	"21,130"	"18,506"
Brazil	326113	"14,376"	"12,194"	"15,041"	"20,864"	"17,242"	"10,632"	"27,633"	"30,575"	"38,960"	"49,853"
Brazil	314991	"63,625"	"47,290"	"38,397"	"43,400"	"32,730"	"27,108"	"31,472"	"36,969"	"28,814"	"52,736"
Brazil	339913	"57,615"	"43,516"	"58,194"	"59,899"	"46,907"	"47,408"	"56,949"	"65,389"	"49,206"	"49,699"
Brazil	311999	"5,904"	"6,412"	"5,399"	"3,965"	"9,370"	"12,603"	"19,701"	"14,834"	"15,950"	"21,716"
Brazil	212324	"2,646"	"7,135"	"6,555"	"14,107"	"14,613"	"16,149"	"28,011"	"31,042"	"32,578"	"50,351"
Brazil	336330	"28,223"	"36,792"	"39,787"	"40,496"	"32,633"	"36,149"	"35,195"	"71,489"	"108,085"	"97,611"
Brazil	333131	"2,059"	"3,478"	"4,797"	"4,471"	"3,719"	"5,255"	"7,750"	"25,072"	"40,677"	"27,907"
Brazil	316213	"92,133"	"70,318"	"64,504"	"96,001"	"97,026"	"89,563"	"99,421"	"132,464"	"126,732"	"101,964"
Brazil	212393	"2,201"	"1,698"	940	"2,871"	"3,029"	"5,376"	"2,405"	"4,227"	"16,583"	"12,635"
Brazil	334513	"53,172"	"63,516"	"63,573"	"63,962"	"58,001"	"57,198"	"20,744"	"24,622"	"29,212"	"49,314"
Brazil	321212	"4,283"	"6,034"	"31,778"	"18,321"	"25,786"	"66,422"	"158,712"	"307,804"	"340,537"	"216,433"
Brazil	337121	379	384	"3,143"	"1,139"	"6,162"	"17,281"	"37,609"	"53,792"	"67,910"	"68,335"
Brazil	910000	"3,888"	"13,122"	"16,657"	"16,308"	"8,815"	"13,220"	"8,707"	"4,846"	"8,799"	"25,374"
Brazil	311340	"12,071"	"10,183"	"14,160"	"16,791"	"24,252"	"32,598"	"38,979"	"42,365"	"38,080"	"43,784"
Brazil	321219	"40,891"	"35,156"	"34,704"	"35,610"	"34,548"	"35,454"	"45,041"	"79,902"	"98,778"	"84,267"
Brazil	321999	"20,883"	"17,738"	"14,738"	"23,272"	"25,258"	"36,749"	"34,661"	"38,418"	"40,284"	"44,395"
Brazil	111332	19	0	47	494	75	349	271	"1,583"	"13,154"	"28,718"
Brazil	314999	747	635	"3,043"	"2,098"	"1,980"	"4,432"	"5,361"	"29,738"	"1,498"	"24,850"
Brazil	332991	"11,496"	"19,629"	"20,754"	"33,241"	"31,653"	"35,301"	"43,568"	"50,675"	"63,279"	"65,429"
Brazil	323118	"4,654"	"7,025"	"6,547"	"21,402"	"15,880"	"20,996"	"30,573"	"34,944"	"23,856"	"67,348"
Brazil	333999	"24,251"	"25,168"	"22,448"	"22,832"	"24,905"	"45,861"	"52,571"	"28,774"	"41,292"	"31,929"
Brazil	333515	"12,459"	"12,974"	"13,146"	"14,495"	"13,665"	"12,777"	"21,230"	"24,717"	"22,992"	"31,462"
Brazil	339911	"12,599"	"22,181"	"15,791"	"15,293"	"19,759"	"13,861"	"23,705"	"31,531"	"31,838"	"35,362"
Brazil	325412	"1,328"	"2,898"	704	"1,277"	69	162	25	560	"1,058"	"2,300"
Brazil	326199	"15,324"	"11,931"	"14,774"	"16,429"	"15,154"	"17,891"	"18,272"	"27,533"	"31,238"	"40,350"
Brazil	336991	"3,423"	"2,851"	"5,258"	"6,514"	"10,073"	"32,066"	"62,252"	"72,522"	"91,709"	"72,878"
Brazil	920000	"9,868"	"11,613"	"23,391"	"9,568"	"6,011"	"10,538"	"6,377"	"32,542"	"39,458"	"11,960"
Brazil	112910	0	0	0	171	172	"10,255"	"17,137"	"7,259"	"5,089"	"17,166"
Brazil	336322	"13,570"	"14,052"	"17,243"	"17,722"	"17,817"	"25,438"	"32,846"	"42,393"	"56,979"	"65,186"
Brazil	311942	"22,144"	"34,894"	"38,381"	"42,039"	"36,619"	"27,720"	"29,289"	"34,648"	"32,576"	"39,622"
Brazil	333912	"6,503"	"9,274"	"7,998"	"8,439"	"10,655"	"9,059"	"13,477"	"21,101"	"29,116"	"40,628"
Brazil	313230	"2,656"	"2,909"	"3,234"	"2,731"	"2,212"	"3,432"	"7,107"	"12,603"	"15,660"	"17,899"
Brazil	333911	"8,697"	"6,094"	"5,347"	"6,807"	"10,011"	"10,993"	"16,715"	"13,048"	"17,090"	"29,246"
Brazil	114111	"15,043"	"13,750"	"22,097"	"25,304"	"28,353"	"35,510"	"40,223"	"45,699"	"51,395"	"47,158"
Brazil	332212	"4,740"	"7,182"	"8,876"	"8,587"	"7,609"	"10,655"	"11,155"	"13,908"	"28,560"	"24,121"
Brazil	334210	91	602	426	"1,315"	"13,285"	"3,651"	"5,874"	"4,973"	"7,960"	"7,100"
Brazil	333512	"39,555"	"22,406"	"20,966"	"25,750"	"14,245"	"7,379"	"6,733"	"20,072"	"17,803"	"14,486"
Brazil	331491	"3,501"	"1,615"	"12,794"	"7,443"	"44,327"	"30,100"	"30,353"	"19,678"	"20,537"	"28,683"
Brazil	332214	"1,488"	"1,300"	"1,492"	"7,532"	"5,462"	"10,318"	"24,520"	"20,860"	"19,482"	"15,577"
Brazil	333996	"2,911"	"2,074"	"1,954"	"2,578"	"6,637"	"4,111"	"3,731"	"5,146"	"5,566"	"15,449"
Brazil	339942	"23,599"	"31,604"	"19,571"	"28,181"	"24,050"	"27,015"	"21,660"	"19,446"	"19,483"	"22,130"
Brazil	332510	"10,367"	"7,364"	"7,599"	"9,498"	"6,553"	"7,280"	"6,194"	"9,517"	"14,980"	"20,220"
Brazil	339991	"9,358"	"11,988"	"9,883"	"11,349"	"13,009"	"17,287"	"16,125"	"19,122"	"21,792"	"21,038"
Brazil	316211	"4,462"	"3,265"	"3,079"	"1,008"	"1,525"	"3,403"	"7,203"	"9,037"	"9,330"	"10,954"
Brazil	331421	"7,019"	"3,026"	"4,786"	"6,527"	"5,056"	"3,478"	"5,409"	"10,950"	"5,139"	"19,509"
Brazil	326299	"7,866"	"8,575"	"7,152"	"7,025"	"6,680"	"6,253"	"13,816"	"21,440"	"29,079"	"19,810"
Brazil	339112	"3,355"	"5,698"	"8,610"	"11,700"	"11,961"	"16,863"	"19,616"	"16,149"	"18,388"	"22,984"
Brazil	325311	"5,376"	"8,461"	40	0	2	"7,724"	"8,288"	"17,285"	"9,837"	"17,683"
Brazil	335314	"18,827"	"15,134"	"7,616"	"11,846"	"18,175"	"24,807"	"28,022"	"36,401"	"31,212"	"16,603"
Brazil	332618	"12,138"	"10,565"	"10,604"	"12,357"	"9,041"	"9,950"	"9,689"	"8,298"	"15,048"	"22,654"
Brazil	311613	468	406	"3,200"	"31,737"	"26,596"	"12,777"	"5,416"	"26,176"	"22,122"	"21,528"
Brazil	332992	419	"1,260"	"2,884"	"4,284"	"2,786"	"4,780"	"3,513"	"7,111"	"6,111"	"14,249"
Brazil	332211	"13,815"	"8,497"	"8,948"	"8,821"	"7,786"	"10,965"	"23,845"	"25,658"	"30,662"	"33,948"
Brazil	336412	"34,992"	"67,839"	"80,798"	"18,337"	"22,299"	"18,980"	"8,279"	"10,891"	"5,248"	"11,109"
Brazil	331422	"3,809"	"3,471"	"26,295"	"40,859"	"47,542"	"59,709"	"75,151"	"109,791"	"138,720"	"197,035"
Brazil	313210	"27,242"	"15,979"	"13,362"	"13,143"	"10,499"	"12,049"	"14,456"	"19,831"	"26,264"	"27,154"
Brazil	335929	"1,115"	784	"1,434"	"6,359"	"3,844"	"2,082"	"7,803"	"19,160"	"23,018"	"45,463"
Brazil	327212	"5,351"	"13,799"	"15,645"	"16,010"	"12,700"	"20,329"	"23,675"	"19,000"	"13,650"	"10,306"
Brazil	333513	"19,198"	"17,165"	"17,966"	"28,818"	"36,580"	"1,731"	"11,172"	"15,339"	"30,478"	"18,758"
Brazil	326220	"1,967"	"2,535"	"6,144"	"8,636"	"11,341"	"11,047"	"14,905"	"18,223"	"22,872"	"21,593"
Brazil	334119	"14,847"	"28,615"	"52,207"	"56,712"	"52,006"	"51,968"	"35,393"	"13,530"	"14,434"	"17,543"
Brazil	335313	"16,152"	"12,888"	"13,821"	"19,656"	"17,311"	"20,899"	"21,183"	"22,804"	"14,299"	"15,841"
Brazil	325920	"3,632"	"2,522"	"2,275"	"1,872"	"2,419"	"1,938"	"6,181"	"6,668"	"10,122"	"10,785"
Brazil	333993	"1,113"	794	"1,606"	882	"1,167"	"1,595"	"2,644"	"5,990"	"6,163"	"11,451"
Brazil	331222	"4,877"	"3,245"	"4,097"	"4,464"	"3,842"	"5,208"	"7,190"	"15,214"	"9,806"	"14,718"
Brazil	325992	"13,765"	"14,487"	"29,858"	"23,889"	"19,105"	"6,805"	"15,079"	"20,566"	"17,276"	"12,786"
Brazil	334419	"4,317"	"4,967"	"11,508"	"21,947"	"25,105"	"16,468"	"9,109"	"13,229"	"21,462"	"15,036"
Brazil	333294	"3,266"	"9,040"	"5,245"	"4,560"	"4,539"	"4,113"	"5,725"	"11,270"	"21,208"	"27,973"
Brazil	333995	286	663	"4,114"	"5,473"	"3,979"	"4,406"	"4,956"	"6,449"	"8,423"	"8,325"
Brazil	313320	"3,466"	"4,056"	"5,177"	"7,707"	"8,706"	"8,540"	"10,588"	"11,208"	"11,030"	"8,717"
Brazil	333412	857	693	463	225	"1,605"	"3,578"	"3,579"	"3,765"	"2,738"	"2,870"
Brazil	327111	"2,012"	920	"1,270"	"5,880"	"8,017"	"14,596"	"30,415"	"55,242"	"73,712"	"51,157"
Brazil	339999	"2,481"	"2,517"	"3,503"	"5,851"	"4,504"	"4,282"	"6,467"	"8,709"	"15,747"	"18,953"
Brazil	316219	"19,657"	"18,833"	"21,732"	"32,718"	"17,006"	"28,023"	"27,955"	"31,743"	"27,203"	"22,456"
Brazil	332919	"10,855"	"9,783"	"6,650"	"8,586"	"5,446"	"9,530"	"4,908"	"7,425"	"6,462"	"7,471"
Brazil	333291	"10,954"	"10,080"	"21,083"	"15,451"	"13,077"	"9,023"	"15,698"	"13,378"	"36,682"	"18,033"
Brazil	327112	"15,350"	"13,940"	"13,285"	"14,794"	"13,295"	"10,902"	"7,892"	"7,486"	"7,741"	"7,714"
Brazil	334111	"5,568"	"5,466"	"9,531"	"9,674"	"16,116"	"11,911"	"6,953"	"10,085"	"8,859"	"9,884"
Brazil	339914	989	"1,088"	"1,333"	"2,723"	"3,107"	"2,660"	"3,680"	"4,899"	"6,953"	"9,735"
Brazil	327992	"7,488"	"7,651"	"12,279"	"4,630"	"5,026"	"4,239"	"4,368"	"5,129"	"4,957"	"4,716"
Brazil	332722	"3,501"	"4,226"	"5,905"	"4,406"	"4,808"	"6,007"	"8,652"	"13,741"	"16,672"	"19,032"
Brazil	31181X	364	669	"9,214"	"10,368"	"6,646"	"8,375"	"11,192"	"19,058"	"24,174"	"14,455"
Brazil	327125	"4,403"	"4,403"	"4,193"	"4,189"	"6,879"	"8,878"	"9,178"	"8,471"	"7,387"	"11,389"
Brazil	315239	"9,404"	"6,569"	"4,423"	"17,220"	"33,911"	"48,976"	"58,549"	"62,647"	"51,107"	"34,598"
Brazil	332913	"1,132"	"1,249"	"2,192"	"2,644"	"1,931"	"8,999"	"10,394"	"12,558"	"12,373"	"12,497"
Brazil	335999	"3,672"	"5,199"	"8,877"	"16,441"	"6,331"	"3,957"	"5,759"	"6,648"	"5,736"	"13,012"
Brazil	335931	"2,360"	"3,026"	"4,158"	"4,797"	"4,699"	"2,913"	"5,730"	"4,980"	"5,278"	"10,092"
Brazil	332912	"3,074"	"1,818"	"1,309"	"1,078"	747	"2,308"	"1,666"	"6,060"	"3,926"	"4,998"
Brazil	322223	"3,300"	"3,894"	"4,524"	"5,035"	"7,663"	"6,704"	"6,170"	"8,858"	"11,766"	"12,524"
Brazil	335224	578	790	794	379	96	52	"1,324"	"5,068"	"10,502"	"8,155"
Brazil	334413	"1,954"	"6,022"	"3,542"	"18,462"	"9,184"	"1,778"	"3,045"	"2,289"	"3,187"	"5,471"
Brazil	336391	119	353	248	250	766	"5,234"	"23,159"	"19,098"	"10,898"	"14,155"
Brazil	325131	"2,084"	"4,919"	"2,300"	"3,070"	"3,463"	"10,710"	"4,242"	"4,077"	"8,442"	"10,110"
Brazil	311223	"7,417"	"3,474"	"2,047"	"2,882"	"9,750"	"6,526"	"3,186"	"2,684"	"6,333"	"5,946"
Brazil	325620	324	803	"1,236"	"1,699"	"3,198"	"3,172"	"5,067"	"7,033"	"8,811"	"8,753"
Brazil	111150	"1,983"	"2,618"	351	101	173	"1,409"	826	615	"5,279"	"6,532"
Brazil	311119	292	0	21	7	12	31	146	279	370	430
Brazil	339920	"6,147"	"6,984"	"8,506"	"11,138"	"8,203"	"8,371"	"12,621"	"16,319"	"12,833"	"14,568"
Brazil	333611	"6,102"	"3,041"	"2,437"	"4,545"	"13,000"	"8,072"	"4,261"	"11,659"	"10,569"	"8,135"
Brazil	337211	"4,180"	"5,347"	"7,251"	"9,992"	"8,481"	"10,743"	"9,828"	"13,077"	"15,058"	"17,982"
Brazil	327211	359	349	523	"1,390"	"3,990"	"7,122"	"5,572"	"16,495"	"11,252"	"11,366"
Brazil	325191	"7,816"	"6,744"	"6,446"	"5,192"	"5,669"	"5,310"	"6,215"	"7,437"	"8,520"	"12,104"
Brazil	337215	"7,153"	"6,339"	"8,477"	"8,466"	"18,201"	"34,014"	"30,451"	"46,478"	"33,669"	"21,500"
Brazil	113210	"5,527"	"7,311"	"6,178"	"3,969"	"2,703"	"2,284"	"2,831"	"4,321"	"3,361"	"4,372"
Brazil	327999	"3,944"	"4,604"	"4,880"	"8,957"	"4,055"	"2,992"	"2,879"	"3,544"	"5,309"	"6,696"
Brazil	311221	"2,124"	"2,110"	"2,079"	"1,256"	"1,968"	"3,052"	"4,451"	"4,323"	"4,357"	"5,931"
Brazil	325320	"4,721"	"1,596"	"2,766"	"9,077"	"5,919"	"5,803"	"6,344"	"27,984"	"9,921"	"2,323"
Brazil	339994	"4,508"	"4,807"	"5,393"	"6,475"	"9,031"	"10,540"	"10,089"	"12,271"	"8,123"	"7,928"
Brazil	312111	35	70	82	556	914	901	"1,831"	"3,571"	"3,500"	"4,413"
Brazil	332611	"3,213"	"2,204"	"3,054"	"7,241"	"3,461"	"1,876"	"3,793"	"3,851"	"7,795"	"12,691"
Brazil	333994	162	600	461	156	253	535	360	545	"1,242"	"2,033"
Brazil	327215	"5,074"	"6,277"	"5,335"	"16,512"	"8,871"	"4,082"	"3,222"	"9,229"	"10,038"	"7,243"
Brazil	327113	"3,412"	"2,962"	"2,967"	"4,789"	"4,401"	"3,947"	"4,343"	"5,747"	"7,706"	"8,860"
Brazil	334515	"3,158"	"2,495"	"1,316"	"1,319"	"2,910"	"2,153"	"1,570"	"3,049"	"2,931"	"2,752"
Brazil	111421	187	399	546	544	680	772	"1,149"	"1,756"	"2,883"	"4,616"
Brazil	333511	"3,439"	"6,134"	"3,420"	"5,954"	"3,247"	"3,266"	"5,029"	"7,526"	"5,148"	"7,266"
Brazil	313249	25	86	319	"2,514"	"4,901"	"5,923"	"10,511"	"8,834"	"6,793"	"7,921"
Brazil	334417	"3,909"	"2,802"	"3,519"	"3,536"	"4,311"	"7,372"	"4,635"	"7,031"	"6,108"	"5,491"
Brazil	335222	"2,540"	"1,910"	"6,253"	"13,711"	"7,545"	"6,178"	"20,286"	"30,172"	"12,261"	"4,797"
Brazil	333132	374	103	41	842	"1,722"	494	"4,390"	"7,808"	"14,377"	"10,179"
Brazil	332410	"1,151"	475	613	"12,015"	"8,069"	87	359	539	570	"4,192"
Brazil	312140	80	125	175	207	279	338	511	"1,546"	"2,089"	"3,181"
Brazil	334310	"280,230"	"241,747"	"207,563"	"220,352"	"145,121"	"115,857"	"118,309"	"74,885"	"16,875"	"14,320"
Brazil	339114	"2,002"	"1,789"	"1,352"	"1,476"	"1,358"	"1,898"	"1,725"	"2,489"	"3,710"	"3,716"
Brazil	325132	"9,472"	"8,823"	"8,722"	"9,365"	"9,863"	"7,237"	"5,831"	"8,041"	"9,115"	"10,616"
Brazil	322222	328	601	"1,538"	"8,058"	"17,417"	"7,885"	"11,480"	"14,620"	"11,003"	"7,168"
Brazil	323119	203	278	260	"1,609"	918	"1,193"	"1,338"	"3,180"	"5,892"	"8,298"
Brazil	314121	187	181	238	322	197	869	"1,854"	"3,352"	"2,213"	"1,270"
Brazil	325510	83	121	58	64	135	"2,249"	"2,560"	"3,127"	"7,389"	"6,363"
Brazil	311111	303	319	7	5	"1,578"	"3,526"	"3,043"	"1,566"	"3,486"	"5,684"
Brazil	326191	192	168	215	187	147	162	166	410	687	"3,150"
Brazil	325613	980	"1,176"	659	"2,448"	"2,471"	"1,387"	"1,219"	703	"3,015"	"1,603"
Brazil	315231	"10,247"	"8,970"	"7,785"	"11,178"	"9,925"	"10,495"	"8,868"	"8,432"	"10,449"	"7,014"
Brazil	315232	"3,951"	"4,312"	"6,163"	"16,389"	"12,055"	"14,449"	"29,453"	"20,001"	"16,615"	"15,706"
Brazil	316999	"7,735"	"5,951"	"4,633"	"3,151"	"3,324"	"2,478"	"3,261"	"3,857"	"5,086"	"5,559"
Brazil	326112	0	0	0	0	22	108	518	772	"1,692"	"4,237"
Brazil	334412	"8,087"	"3,013"	"4,128"	"8,422"	"8,020"	"11,159"	"9,280"	"7,152"	"4,530"	"3,125"
Brazil	332115	647	37	"3,167"	"3,024"	"1,779"	"1,441"	"3,038"	"13,990"	"28,315"	"18,014"
Brazil	331411	"75,064"	"15,496"	"20,905"	"3,633"	"18,178"	"68,439"	"24,321"	"46,906"	"107,938"	"123,605"
Brazil	212311	607	813	"2,332"	"3,474"	"3,575"	"4,342"	"7,533"	"12,311"	"14,615"	"11,281"
Brazil	332213	"3,190"	"3,273"	"3,677"	"2,517"	"2,298"	"1,348"	"1,505"	"2,191"	"3,061"	"3,323"
Brazil	315233	246	266	364	837	474	659	"1,263"	"1,948"	"2,708"	"3,677"
Brazil	311514	3	10	18	73	131	266	"3,872"	"3,984"	"3,971"	"5,673"
Brazil	314992	"6,519"	"10,808"	"8,921"	"9,115"	"2,887"	"1,763"	"5,634"	"2,167"	"5,334"	"7,067"
Brazil	315223	670	102	"2,703"	"20,744"	"22,839"	"16,562"	"17,843"	"15,089"	"19,502"	"11,350"
Brazil	111219	"1,657"	"1,080"	"2,438"	"1,576"	"1,304"	"1,348"	"1,737"	"2,065"	"3,766"	"4,665"
Brazil	111998	"2,424"	"2,541"	"2,845"	"2,097"	"1,563"	"1,592"	"1,955"	"1,924"	"2,531"	"3,347"
Brazil	335991	"26,533"	"20,227"	"14,339"	"15,930"	"8,428"	"10,548"	"11,126"	"9,512"	"8,520"	"5,253"
Brazil	331314	0	0	0	318	"2,023"	"3,273"	"2,860"	920	"1,435"	"1,407"
Brazil	334416	"1,416"	751	809	611	"2,165"	862	378	"2,677"	"1,234"	"1,200"
Brazil	333220	"1,488"	933	"1,507"	"3,012"	464	"1,771"	"5,162"	"5,512"	"4,203"	"4,079"
Brazil	313221	"4,117"	"3,104"	"3,122"	"3,442"	"3,483"	"3,133"	"3,666"	"4,129"	"4,574"	"3,715"
Brazil	322291	30	44	0	14	241	"3,489"	"5,010"	"16,587"	"18,784"	"17,888"
Brazil	311911	"7,900"	"8,182"	"10,698"	"9,582"	"5,962"	"4,395"	"5,884"	"6,249"	"4,546"	"5,050"
Brazil	112920	573	412	"1,952"	"1,210"	"3,910"	"1,570"	"1,095"	"2,797"	"6,709"	"1,726"
Brazil	335221	"1,660"	"1,605"	"2,045"	"2,327"	"1,580"	"1,741"	"1,608"	"1,873"	"4,897"	"5,912"
Brazil	327310	0	0	0	0	0	"4,236"	"8,927"	"18,206"	"25,153"	"23,133"
Brazil	322224	70	72	342	448	724	"1,191"	"2,284"	"3,517"	"5,005"	"4,884"
Brazil	336321	"2,808"	"4,208"	"3,974"	"2,379"	"1,171"	"1,452"	"1,590"	"1,355"	"8,806"	"5,201"
Brazil	315292	"1,491"	840	765	869	523	897	936	"1,851"	"1,996"	"2,178"
Brazil	311230	47	47	38	24	24	61	297	274	127	"1,764"
Brazil	334512	"1,940"	"5,214"	"9,037"	"6,472"	"5,128"	"6,510"	"8,212"	"8,639"	"6,269"	"2,121"
Brazil	311211	98	85	85	98	126	107	245	485	261	532
Brazil	339992	742	826	"1,077"	"4,634"	"2,796"	"1,544"	"1,503"	"2,984"	"3,415"	"4,121"
Brazil	331316	35	3	521	"11,474"	"2,717"	"2,801"	"14,193"	"24,437"	"26,600"	"18,053"
Brazil	323117	865	"1,333"	"1,703"	"1,883"	"1,769"	"1,382"	"5,335"	"7,717"	"5,868"	"6,319"
Brazil	331319	586	320	"2,226"	"28,470"	"3,624"	243	"1,456"	"2,022"	"4,297"	"13,381"
Brazil	339912	911	"1,173"	679	925	482	600	"3,274"	"5,034"	"4,719"	"6,940"
Brazil	333922	457	123	586	"1,371"	529	798	"3,211"	"2,851"	"2,105"	"4,590"
Brazil	332312	206	19	207	"2,396"	"8,329"	"9,730"	"3,191"	"5,603"	"15,589"	"9,707"
Brazil	336120	215	208	610	940	208	231	106	27	585	785
Brazil	334418	"6,966"	"4,345"	"5,158"	"22,917"	"97,264"	"66,305"	"28,645"	"35,683"	"25,637"	"14,077"
Brazil	334415	"5,591"	"5,360"	"4,637"	"6,157"	"2,969"	"3,083"	"4,622"	"1,914"	"1,785"	"1,726"
Brazil	335110	"3,403"	"2,308"	"1,777"	"2,087"	"4,123"	"4,494"	"4,961"	"7,431"	"5,995"	"3,800"
Brazil	333210	"1,459"	"1,778"	"2,044"	"1,832"	"2,160"	"2,459"	"2,039"	"3,438"	"4,241"	"2,337"
Brazil	337124	347	547	735	"1,031"	"1,826"	"2,913"	"4,123"	"3,571"	"8,801"	"2,982"
Brazil	325520	"5,534"	"4,102"	"2,768"	"1,716"	"1,280"	733	"2,283"	"2,679"	"2,462"	"1,493"
Brazil	314110	858	"1,389"	"1,875"	"2,296"	"3,128"	"4,534"	"4,131"	"2,971"	"3,357"	"3,204"
Brazil	325611	"1,562"	321	209	297	818	"2,122"	"3,187"	"1,570"	646	874
Brazil	323122	"1,402"	627	"2,137"	"1,230"	717	507	"1,181"	"2,391"	"2,325"	"1,646"
Brazil	335911	"3,168"	"1,854"	"2,714"	"6,670"	"7,575"	"11,974"	"14,531"	"23,013"	"28,982"	"12,861"
Brazil	333414	273	128	247	316	103	"1,647"	751	"1,148"	492	747
Brazil	333313	"3,135"	"2,316"	"2,780"	"5,530"	"2,400"	"3,200"	"1,429"	"5,074"	"7,496"	"2,352"
Brazil	333292	"7,502"	"8,839"	"5,774"	"4,902"	"2,662"	"2,520"	"2,844"	"2,874"	"4,019"	"2,259"
Brazil	334519	646	430	457	900	"1,035"	528	838	932	338	915
Brazil	325221	"5,448"	"2,879"	983	"1,272"	"1,235"	"1,666"	"1,004"	922	543	"1,912"
Brazil	311212	5	2	0	5	29	59	153	220	279	307
Brazil	334414	"4,200"	"4,360"	"4,647"	"7,604"	"4,484"	"8,642"	"8,441"	"9,002"	"9,623"	"5,716"
Brazil	332420	"4,345"	"3,335"	"1,839"	264	367	"2,045"	450	"2,758"	"2,497"	"1,168"
Brazil	334514	575	521	916	"1,058"	"1,105"	"2,185"	"4,427"	"2,940"	742	"1,607"
Brazil	325612	280	249	419	541	385	"1,209"	"1,493"	"2,411"	"1,530"	834
Brazil	325222	451	134	326	"1,046"	508	804	"2,364"	"2,508"	"3,753"	"1,527"
Brazil	333314	755	"1,042"	"1,460"	"1,251"	927	781	"1,049"	"1,009"	"1,700"	"1,568"
Brazil	333514	33	269	292	"1,095"	"6,900"	"4,732"	"5,300"	"3,198"	"7,118"	"3,598"
Brazil	333991	"12,010"	"7,655"	"10,463"	"9,431"	"7,693"	"10,176"	"10,890"	"15,464"	"10,558"	"4,649"
Brazil	312120	"1,775"	521	403	552	168	120	324	540	"6,046"	"2,596"
Brazil	339993	"1,501"	"1,269"	972	"1,132"	881	927	808	"1,232"	"1,447"	"1,673"
Brazil	327124	888	"1,124"	"8,679"	"9,473"	"2,713"	"1,617"	146	672	"1,654"	"1,351"
Brazil	333411	11	405	425	5	51	72	191	223	620	220
Brazil	315999	475	487	674	"1,286"	"2,261"	"4,031"	"5,139"	"5,997"	"6,215"	"4,395"
Brazil	327993	266	251	120	216	326	243	729	"1,061"	781	"3,336"
Brazil	312221	2	0	9	0	926	"5,423"	"14,087"	"13,926"	"9,139"	"4,834"
Brazil	333924	875	"2,907"	"1,715"	"2,903"	"2,545"	"1,693"	"2,123"	"2,133"	"3,946"	"6,411"
Brazil	311513	0	6	8	114	144	548	"1,876"	"4,029"	"5,964"	"3,776"
Brazil	311423	152	201	"10,854"	198	184	207	164	303	553	552
Brazil	335129	161	162	529	565	981	954	808	440	312	418
Brazil	334511	"1,008"	29	98	326	200	216	279	731	574	633
Brazil	336360	"1,013"	"1,416"	551	509	"1,570"	808	"1,225"	839	"1,676"	"1,898"
Brazil	111992	0	0	0	0	0	51	0	0	0	6
Brazil	313111	"10,144"	"6,726"	"13,457"	"19,342"	"3,575"	"13,397"	"19,610"	"25,685"	"10,584"	"23,305"
Brazil	311222	59	217	311	786	637	"19,335"	"8,020"	"93,298"	"10,398"	376
Brazil	336111	"10,786"	"1,472"	"1,785"	"166,162"	"624,607"	"622,057"	"545,775"	"226,051"	"220,306"	"166,019"
Brazil	315228	420	585	161	620	861	982	"1,773"	"1,247"	"1,283"	"1,230"
Brazil	339115	627	"1,099"	692	"1,183"	"1,083"	845	"1,147"	539	188	829
Brazil	334516	"1,790"	377	192	296	165	351	"1,004"	337	"1,000"	868
Brazil	334510	91	256	262	191	153	329	302	389	877	740
Brazil	316992	"2,962"	"1,492"	693	"1,409"	512	"2,595"	"2,804"	"3,885"	"4,355"	"2,743"
Brazil	326160	165	188	513	"1,296"	"2,486"	310	265	"2,858"	481	"1,318"
Brazil	335211	"5,191"	"1,951"	"1,255"	953	"1,776"	"1,785"	"2,724"	"1,230"	"1,330"	"1,713"
Brazil	31511X	71	35	212	630	183	151	"2,209"	"1,054"	954	"1,271"
Brazil	333921	"1,378"	301	91	52	940	91	676	394	13	77
Brazil	327390	24	70	4	200	21	42	232	596	"1,377"	"2,716"
Brazil	312130	"11,498"	974	0	28	159	160	142	481	849	642
Brazil	339950	29	105	95	47	57	54	142	166	444	614
Brazil	333293	"2,062"	"1,794"	"1,154"	"4,547"	"1,425"	"1,798"	"9,121"	"15,902"	"11,655"	"5,139"
Brazil	335912	2	80	229	59	"1,952"	584	"1,063"	477	589	41
Brazil	337110	0	71	5	3	149	"1,433"	714	"1,082"	"3,028"	"1,992"
Brazil	315221	"12,058"	"12,722"	"13,636"	"19,222"	"19,476"	"13,752"	"13,541"	"11,492"	"10,487"	"6,609"
Brazil	321920	100	913	338	281	"1,347"	"3,510"	"5,172"	"7,277"	"6,603"	"8,636"
Brazil	325181	"1,885"	"2,776"	830	161	4	0	790	0	0	0
Brazil	333516	380	133	190	875	25	884	249	"2,006"	669	"1,021"
Brazil	325312	158	241	106	57	290	358	202	170	248	332
Brazil	334612	980	"2,021"	"2,350"	"2,596"	"2,333"	"2,269"	"1,818"	"2,241"	"3,209"	"2,805"
Brazil	336212	100	0	0	0	27	0	108	3	171	415
Brazil	333997	"1,274"	959	664	643	356	405	229	421	748	649
Brazil	326121	9	29	245	221	672	614	"1,993"	"1,600"	"3,301"	"3,787"
Brazil	332998	83	70	158	88	250	133	206	290	719	"1,170"
Brazil	333298	659	"1,230"	"2,133"	"5,330"	"1,216"	651	552	"1,677"	"1,994"	"1,556"
Brazil	333319	601	271	189	163	234	230	812	495	611	427
Brazil	326122	40	165	168	679	452	338	775	"1,697"	"3,259"	"2,478"
Brazil	333923	"9,041"	"3,842"	175	154	561	94	34	64	24	102
Brazil	335921	0	21	553	"11,466"	"10,470"	"1,203"	278	186	254	408
Brazil	334290	14	0	106	49	72	164	"1,112"	"2,976"	"3,192"	"2,323"
Brazil	315991	418	492	464	586	707	765	670	955	988	706
Brazil	315234	494	355	211	987	"1,456"	"2,072"	"3,926"	"4,371"	"2,064"	"1,988"
Brazil	311422	0	0	0	29	167	0	53	99	120	89
Brazil	313312	0	68	42	1	1	41	310	459	534	737
Brazil	322211	16	15	38	46	83	72	286	"1,459"	611	679
Brazil	335932	0	15	33	58	17	32	123	78	110	48
Brazil	337214	2	581	660	581	79	592	643	250	489	"1,388"
Brazil	335228	130	50	93	249	36	50	44	316	395	582
Brazil	336419	16	6	19	9	25	60	74	172	159	"1,086"
Brazil	314912	15	150	68	162	241	932	347	226	981	377
Brazil	336612	6	"3,337"	193	455	"1,092"	520	"2,934"	"5,798"	"10,633"	"1,916"
Brazil	316991	191	141	211	210	303	261	244	632	410	438
Brazil	311225	"1,976"	"2,260"	"2,237"	"3,416"	"2,240"	"2,101"	"2,023"	"1,928"	"1,123"	340
Brazil	337910	2	5	20	26	28	58	66	86	278	251
Brazil	212399	"1,601"	86	123	88	36	27	81	111	328	"3,113"
Brazil	336211	329	"1,382"	626	294	327	510	296	440	732	487
Brazil	311511	0	0	2	32	50	38	205	488	585	393
Brazil	111331	140	0	236	249	0	0	127	"1,458"	0	0
Brazil	332321	24	9	15	155	70	75	27	182	166	11
Brazil	339932	844	981	"1,106"	551	641	"1,247"	416	716	428	295
Brazil	333913	52	27	103	27	27	83	167	293	434	322
Brazil	111422	14	12	5	23	77	697	"1,953"	"2,273"	"2,833"	"2,308"
Brazil	335121	9	18	33	23	53	90	138	292	393	599
Brazil	111130	11	2	0	5	20	"1,260"	134	50	198	157
Brazil	326192	0	2	7	33	3	68	0	0	0	337
Brazil	339941	11	133	712	113	74	292	296	"1,500"	944	"1,187"
Brazil	331492	0	25	105	560	40	0	0	0	21	143
Brazil	333315	"17,660"	"22,959"	"23,068"	"17,335"	"5,376"	"2,290"	"2,868"	"1,525"	"2,303"	"1,980"
Brazil	311930	203	197	"1,352"	583	53	69	77	684	281	153
Brazil	336370	"2,732"	"1,170"	663	695	464	519	"1,005"	"1,459"	"1,355"	484
Brazil	322299	227	138	152	75	213	"49,985"	"48,353"	"7,283"	"1,832"	"1,790"
Brazil	311822	13	13	50	13	24	23	93	270	331	180
Brazil	111110	"58,799"	18	29	588	"1,242"	662	167	"6,253"	93	"3,091"
Brazil	112511	"1,434"	918	"1,062"	686	331	329	374	322	335	305
Brazil	339944	36	18	46	168	"1,139"	750	181	595	350	203
Brazil	311941	5	70	2	29	80	32	47	84	57	84
Brazil	112990	352	133	117	106	82	84	196	457	730	351
Brazil	313113	28	1	18	34	134	72	262	678	654	389
Brazil	334112	"4,036"	"2,368"	"2,017"	"2,602"	"2,365"	596	234	352	797	161
Brazil	333992	205	787	"1,634"	"2,117"	"3,422"	"3,957"	"3,147"	"5,902"	"6,137"	"1,683"
Brazil	336214	59	3	91	58	18	27	41	44	0	79
Brazil	311711	867	271	132	74	369	659	175	88	123	64
Brazil	334518	318	250	297	180	291	140	77	55	18	43
Brazil	311512	0	143	0	6	3	8	34	68	282	254
Brazil	332439	"4,982"	"6,309"	"3,337"	"3,117"	"1,556"	"1,132"	724	238	139	539
Brazil	311919	4	0	0	13	10	13	124	80	154	425
Brazil	212325	0	8	37	154	42	121	192	457	456	293
Brazil	315224	"18,879"	"6,532"	205	"2,037"	"3,733"	"5,255"	"8,394"	"7,406"	"10,689"	"2,447"
Brazil	322212	53	83	32	67	277	63	196	244	476	986
Brazil	316993	93	6	36	55	24	360	30	87	73	98
Brazil	113310	"2,585"	"2,409"	"2,445"	"2,771"	"2,944"	"1,579"	"1,858"	"2,753"	"4,092"	"2,564"
Brazil	327123	16	48	18	104	27	52	179	206	259	"2,353"
Brazil	312229	"1,199"	478	51	56	42	319	759	552	888	397
Brazil	325910	0	672	11	146	427	"1,293"	3	67	13	5
Brazil	312112	0	36	0	4	13	14	20	0	20	168
Brazil	337920	194	196	167	25	70	55	112	140	97	66
Brazil	321992	0	0	8	62	4	52	0	2	150	83
Brazil	212322	3	20	105	0	181	26	0	0	24	7
Brazil	315222	0	0	278	140	"1,221"	31	308	"1,100"	"1,230"	40
Brazil	332997	"2,377"	345	63	43	192	210	212	76	22	3
Brazil	334517	"1,666"	"1,664"	494	104	136	33	46	90	223	180
Brazil	327213	15	10	136	137	3	"7,738"	"5,270"	"1,354"	"1,159"	915
Brazil	315291	347	127	427	482	"1,038"	354	406	494	637	376
Brazil	311520	0	0	53	57	51	23	83	6	4	0
Brazil	311823	0	0	0	0	11	26	2	4	42	17
Brazil	511210	14	5	80	86	591	32	3	27	7	30
Brazil	325120	0	0	"1,102"	0	8	337	86	0	0	0
Brazil	333295	23	0	78	0	20	393	55	94	140	133
Brazil	321114	17	63	78	7	64	62	49	230	33	0
Brazil	324122	194	310	235	166	196	124	124	83	42	135
Brazil	212319	6	0	0	0	27	0	9	0	20	9
Brazil	333311	719	5	15	69	75	149	22	67	13	57
Brazil	316212	470	"2,865"	"4,066"	"4,564"	"1,795"	"1,057"	436	326	18	36
Brazil	114119	0	3	18	170	72	0	0	2	50	42
Brazil	322215	0	0	0	48	41	33	20	6	49	139
Brazil	314911	554	"1,001"	507	"1,025"	486	351	320	448	674	463
Brazil	111930	0	0	0	0	0	32	42	0	7	6
Brazil	212112	0	0	4	19	"1,256"	0	0	0	62	64
Brazil	337129	4	103	89	44	13	0	24	0	44	31
Brazil	336992	0	0	0	0	0	0	0	6	0	21
Brazil	325182	20	29	958	"1,492"	3	0	3	0	217	"1,494"
Brazil	332431	16	0	22	36	5	0	0	3	30	64
Brazil	336611	20	0	"1,763"	0	0	0	16	0	18	108
Brazil	322213	4	14	5	3	0	0	59	2	77	4
Brazil	334613	108	32	51	38	35	18	263	38	152	152
Brazil	327420	16	4	0	0	0	0	4	7	136	87
Brazil	325414	53	116	297	0	190	6	12	"1,352"	91	4
Brazil	332323	0	0	0	6	0	0	0	0	40	7
Brazil	112930	0	0	10	0	0	0	0	0	2	30
Brazil	326212	5	56	282	57	57	8	61	38	82	145
Brazil	315992	35	0	1	1	0	84	0	2	6	5
Brazil	111920	1	0	0	0	0	0	0	0	0	0
Brazil	315993	0	0	1	0	0	0	1	0	0	0
Brazil	111120	0	0	96	0	0	0	6	0	20	126
Brazil	111199	4	50	22	39	29	0	0	0	14	23
Brazil	334411	"11,921"	"14,622"	"13,429"	"8,667"	"7,154"	"20,855"	"6,359"	"1,553"	538	19
Brazil	332995	0	0	76	19	80	204	36	4	0	0
Brazil	322122	330	"2,326"	"4,485"	"7,822"	"5,183"	"3,343"	"2,774"	"1,025"	414	5
Brazil	321214	0	0	0	0	77	35	0	0	0	0
Brazil	312113	0	0	0	0	0	0	0	18	32	18
Brazil	212231	0	0	907	"2,281"	0	0	0	0	0	0
Brazil	112420	0	0	0	0	0	0	1	0	0	0
Brazil	112410	0	0	36	46	93	54	88	84	0	0
Brazil	1123XX	0	0	0	0	44	10	0	13	88	0
Brazil	111940	0	0	0	0	6	0	0	0	0	0
Brazil	111411	0	0	5	3	0	0	0	5	0	0
Brazil	339943	0	15	4	2	0	0	0	29	0	70
Brazil	339931	89	60	63	92	48	77	65	184	90	84
Brazil	332322	0	0	0	0	67	2	0	25	0	21
Brazil	332311	0	0	0	8	109	0	0	21	53	98
Brazil	327410	0	0	0	0	0	155	80	5	0	0
Brazil	327331	78	0	0	0	0	92	3	66	0	0
Brazil	327121	0	0	2	9	50	14	8	19	6	17
Brazil	324121	39	0	0	0	0	0	0	0	0	0
Brazil	323116	0	0	0	0	0	0	0	0	0	0
Brazil	322232	0	0	0	0	0	0	5	0	22	71
Brazil	322214	0	0	0	0	0	0	0	0	0	2
Brazil	336415	17	0	0	0	0	0	0	0	0	56
Brazil	336213	0	0	0	0	103	0	0	0	0	0
Brazil	335212	2	22	6	0	4	68	118	449	393	61
Brazil	111333	0	0	0	0	0	3	7	0	3	0
Brazil	111320	70	0	0	0	0	0	11	0	0	0
Brazil	111211	3	43	0	0	0	15	0	161	0	0
Canada	211111	"12,492,349"	"10,744,608"	"12,621,153"	"23,014,889"	"25,403,344"	"22,505,375"	"32,213,189"	"38,182,744"	"50,780,692"	"56,806,246"
Canada	336111	"26,044,515"	"28,798,950"	"34,050,055"	"33,932,592"	"30,560,407"	"31,001,491"	"30,521,282"	"35,944,402"	"36,336,139"	"36,622,175"
Canada	324110	"2,498,615"	"1,829,552"	"2,192,494"	"3,701,291"	"4,176,426"	"4,272,532"	"5,513,281"	"6,924,991"	"9,196,422"	"10,258,217"
Canada	990000	"2,907,261"	"3,695,827"	"5,050,049"	"7,047,337"	"6,828,149"	"5,153,091"	"5,697,727"	"6,157,401"	"7,969,709"	"8,445,666"
Canada	980000	"6,606,427"	"8,173,697"	"9,613,313"	"10,709,226"	"10,937,687"	"11,462,131"	"9,962,688"	"9,671,570"	"9,803,468"	"9,456,866"
Canada	331111	"2,412,336"	"2,489,630"	"2,335,415"	"2,561,527"	"2,166,109"	"2,717,872"	"2,609,028"	"3,547,236"	"4,275,868"	"4,611,425"
Canada	331419	"3,218,890"	"2,885,385"	"2,906,314"	"3,116,340"	"2,511,240"	"2,811,428"	"2,633,648"	"3,623,977"	"3,639,665"	"5,397,933"
Canada	336399	"4,766,487"	"4,480,134"	"5,308,505"	"5,777,548"	"5,442,884"	"6,152,380"	"7,201,681"	"7,290,964"	"7,648,764"	"7,175,289"
Canada	331312	"2,483,330"	"2,267,728"	"2,227,792"	"2,417,116"	"2,618,383"	"2,366,040"	"2,726,485"	"3,118,669"	"3,783,630"	"5,312,561"
Canada	325211	"2,253,113"	"2,143,662"	"2,349,007"	"2,866,450"	"2,942,572"	"2,823,140"	"3,307,190"	"3,949,056"	"4,760,382"	"5,205,295"
Canada	322122	"4,642,480"	"4,779,829"	"4,791,350"	"5,232,993"	"5,262,374"	"4,617,448"	"4,471,462"	"4,856,509"	"5,263,056"	"5,105,092"
Canada	336120	"9,605,571"	"8,376,206"	"11,698,343"	"10,924,603"	"9,900,336"	"9,829,264"	"9,745,711"	"9,848,340"	"10,748,336"	"10,440,368"
Canada	325412	"535,786"	"481,695"	"483,388"	"609,334"	"940,880"	"1,071,110"	"1,713,247"	"2,028,354"	"2,327,966"	"3,218,282"
Canada	336411	"1,683,201"	"2,061,522"	"2,291,267"	"3,367,018"	"4,528,384"	"4,146,267"	"5,441,990"	"4,310,119"	"4,866,205"	"3,817,521"
Canada	321113	"7,162,605"	"6,489,574"	"7,459,668"	"6,671,250"	"6,279,828"	"5,787,545"	"5,146,984"	"7,348,062"	"7,298,255"	"6,691,912"
Canada	325312	"581,724"	"716,786"	"713,809"	"712,765"	"645,006"	"690,516"	"739,697"	"872,443"	"1,291,578"	"1,233,284"
Canada	33631X	"2,623,846"	"3,102,891"	"3,879,901"	"3,996,580"	"3,240,438"	"3,341,820"	"3,575,171"	"4,031,974"	"4,346,255"	"3,667,388"
Canada	211112	"1,663,876"	"767,239"	"831,094"	"1,587,967"	"1,512,571"	"1,188,631"	"1,671,448"	"1,838,899"	"2,155,241"	"2,366,473"
Canada	322110	"2,169,128"	"1,948,871"	"2,100,828"	"2,675,782"	"2,080,284"	"1,841,346"	"1,944,224"	"2,212,208"	"2,267,530"	"2,339,423"
Canada	326199	"1,166,355"	"1,364,568"	"1,578,860"	"1,839,849"	"1,932,770"	"2,126,079"	"2,234,220"	"2,528,564"	"2,855,033"	"2,924,414"
Canada	331411	"895,443"	"705,078"	"655,898"	"673,765"	"693,148"	"627,561"	"643,782"	"895,052"	"1,148,397"	"1,717,305"
Canada	336412	"989,380"	"1,164,694"	"1,247,953"	"1,465,388"	"1,823,145"	"1,657,596"	"1,300,045"	"1,476,184"	"1,630,898"	"1,688,193"
Canada	322121	"2,117,135"	"2,352,588"	"2,476,641"	"2,806,552"	"2,663,744"	"2,322,919"	"2,260,722"	"2,830,739"	"2,856,534"	"2,753,350"
Canada	910000	"932,756"	"870,685"	"760,724"	"880,198"	"731,380"	"757,752"	"839,745"	"1,298,431"	"1,400,115"	"1,881,880"
Canada	325110	"225,451"	"254,066"	"267,886"	"424,710"	"371,472"	"438,309"	"636,845"	"955,635"	"1,223,235"	"1,833,785"
Canada	333120	"1,102,697"	"1,386,344"	"1,593,170"	"1,595,038"	"1,434,141"	"1,533,982"	"1,721,777"	"2,166,033"	"2,778,259"	"2,865,029"
Canada	336350	"1,337,309"	"1,671,885"	"2,209,489"	"2,186,080"	"1,951,851"	"2,131,389"	"1,895,956"	"2,100,742"	"2,336,481"	"2,555,294"
Canada	325188	"1,110,025"	"1,016,355"	"873,725"	"893,639"	"1,045,823"	"1,044,187"	"988,473"	"1,241,841"	"1,541,838"	"1,606,070"
Canada	325311	"625,245"	"566,077"	"630,694"	"615,353"	"539,303"	"569,516"	"630,726"	"856,338"	"1,153,330"	"1,161,165"
Canada	333999	"825,638"	"926,822"	"1,166,155"	"1,229,500"	"1,129,606"	"1,157,733"	"1,196,276"	"1,336,091"	"1,256,271"	"1,382,291"
Canada	334220	"754,901"	"999,945"	"1,175,135"	"1,820,814"	"1,232,611"	"974,354"	"931,743"	"1,094,067"	"1,625,880"	"1,708,474"
Canada	311611	"1,277,005"	"1,322,131"	"1,610,711"	"1,862,204"	"2,079,602"	"2,028,388"	"1,877,282"	"2,332,517"	"2,351,715"	"1,944,488"
Canada	311223	"422,696"	"443,401"	"380,333"	"344,002"	"312,488"	"304,931"	"404,237"	"585,401"	"501,737"	"626,455"
Canada	11211X	"948,575"	"948,483"	"722,978"	"761,920"	"1,066,198"	"1,159,637"	"409,132"	"17,164"	"548,460"	"1,052,310"
Canada	326211	"1,095,564"	"1,138,071"	"1,157,755"	"1,274,680"	"1,240,929"	"1,248,055"	"1,257,764"	"1,373,542"	"1,563,362"	"1,620,292"
Canada	334210	"1,458,261"	"1,596,349"	"2,478,424"	"5,514,060"	"1,656,711"	"976,724"	"743,461"	"824,787"	"916,214"	"845,678"
Canada	336413	"1,002,512"	"1,178,048"	"1,246,421"	"1,144,518"	"1,242,401"	"898,922"	"788,476"	"843,976"	"964,317"	"1,141,739"
Canada	325199	"767,125"	"736,428"	"756,202"	"978,315"	"1,053,496"	"934,629"	"700,346"	"1,060,192"	"1,242,832"	"1,248,891"
Canada	332312	"263,552"	"368,504"	"432,538"	"593,839"	"643,788"	"688,689"	"502,412"	"610,315"	"765,095"	"918,081"
Canada	325192	"387,013"	"303,066"	"367,831"	"646,600"	"671,736"	"584,817"	"626,461"	"869,250"	"898,894"	"883,411"
Canada	337127	"1,181,797"	"1,395,656"	"1,585,544"	"1,761,357"	"1,615,868"	"1,603,675"	"1,606,470"	"1,646,543"	"1,651,406"	"1,613,963"
Canada	114112	"563,354"	"600,034"	"820,164"	"1,001,138"	"1,011,826"	"1,076,383"	"1,194,319"	"1,206,365"	"1,158,539"	"1,162,188"
Canada	31181X	"305,494"	"327,116"	"390,296"	"460,424"	"516,692"	"587,193"	"712,491"	"781,326"	"849,600"	"931,067"
Canada	331315	"602,665"	"612,463"	"691,783"	"792,619"	"725,512"	"778,243"	"798,419"	"1,044,089"	"1,181,431"	"1,497,624"
Canada	326113	"429,817"	"484,863"	"533,172"	"594,196"	"613,969"	"665,173"	"764,290"	"909,024"	"984,041"	"1,104,996"
Canada	332999	"609,581"	"638,338"	"708,516"	"859,420"	"728,751"	"724,909"	"743,705"	"866,553"	"970,784"	"1,073,148"
Canada	321219	"897,032"	"1,384,163"	"1,887,300"	"1,714,014"	"1,488,201"	"1,559,564"	"2,488,039"	"3,449,819"	"3,209,799"	"2,459,326"
Canada	111140	"358,886"	"281,718"	"272,521"	"227,464"	"278,061"	"252,943"	"129,536"	"159,815"	"169,765"	"305,572"
Canada	333111	"752,270"	"649,685"	"443,632"	"487,027"	"454,650"	"502,349"	"552,664"	"725,983"	"765,630"	"675,170"
Canada	334119	"715,304"	"828,884"	"923,759"	"1,307,284"	"842,551"	"707,504"	"671,951"	"625,481"	"682,633"	"801,088"
Canada	322291	"297,899"	"356,477"	"385,906"	"490,490"	"600,241"	"641,287"	"609,386"	"726,656"	"813,978"	"838,860"
Canada	311411	"262,947"	"328,483"	"383,413"	"455,587"	"484,966"	"504,358"	"621,370"	"722,012"	"720,485"	"807,391"
Canada	331422	"153,618"	"163,807"	"201,532"	"268,300"	"237,975"	"265,523"	"259,164"	"468,727"	"630,788"	"1,206,908"
Canada	325620	"258,571"	"300,347"	"324,444"	"394,397"	"448,949"	"501,501"	"555,411"	"696,795"	"774,298"	"779,724"
Canada	334413	"2,241,800"	"2,255,841"	"1,952,783"	"2,111,571"	"1,760,915"	"1,067,792"	"1,052,474"	"1,185,542"	"1,625,613"	"1,032,948"
Canada	336330	"571,744"	"671,292"	"747,939"	"721,128"	"629,386"	"774,802"	"853,568"	"923,916"	"1,014,296"	"945,827"
Canada	339911	"237,466"	"282,787"	"349,276"	"912,001"	"236,825"	"267,755"	"246,477"	"297,164"	"280,551"	"319,001"
Canada	337215	"437,127"	"528,611"	"645,760"	"764,421"	"659,090"	"673,593"	"659,775"	"775,563"	"808,748"	"803,661"
Canada	323119	"617,651"	"701,340"	"783,787"	"908,370"	"911,119"	"997,810"	"1,017,525"	"1,025,835"	"1,050,204"	"1,039,694"
Canada	333132	"60,112"	"111,483"	"48,588"	"62,116"	"90,216"	"99,273"	"99,714"	"117,083"	"232,843"	"380,536"
Canada	311320	"316,044"	"348,058"	"345,898"	"390,106"	"455,956"	"525,607"	"704,963"	"721,332"	"712,070"	"708,654"
Canada	111199	"344,997"	"215,666"	"190,791"	"210,334"	"231,579"	"202,034"	"187,348"	"217,860"	"203,796"	"312,587"
Canada	111120	"197,163"	"185,575"	"124,162"	"105,652"	"97,836"	"102,872"	"115,569"	"207,235"	"208,961"	"272,977"
Canada	334418	"2,520,004"	"2,554,381"	"3,056,127"	"4,120,744"	"2,958,962"	"2,020,481"	"1,383,223"	"1,504,788"	"1,654,334"	"1,735,055"
Canada	111219	"139,762"	"204,966"	"232,547"	"299,461"	"344,834"	"361,288"	"458,486"	"523,640"	"563,737"	"651,445"
Canada	336360	"921,737"	"905,497"	"759,475"	"659,328"	"574,990"	"668,262"	"779,558"	"1,053,473"	"1,155,896"	"1,138,271"
Canada	335312	"378,837"	"415,171"	"447,337"	"468,589"	"511,752"	"433,750"	"392,860"	"431,088"	"505,971"	"636,306"
Canada	332510	"695,643"	"796,419"	"755,206"	"774,775"	"733,470"	"770,094"	"777,030"	"835,356"	"927,423"	"880,544"
Canada	212210	"316,890"	"285,954"	"207,153"	"238,045"	"133,396"	"157,298"	"195,630"	"189,648"	"299,484"	"358,501"
Canada	335999	"278,639"	"512,110"	"656,375"	"613,505"	"681,543"	"616,320"	"506,623"	"577,852"	"629,517"	"641,063"
Canada	326299	"309,932"	"340,928"	"362,851"	"406,465"	"432,214"	"413,952"	"449,132"	"535,570"	"605,398"	"620,171"
Canada	333511	"670,622"	"637,580"	"704,903"	"694,793"	"574,380"	"684,583"	"700,411"	"703,670"	"800,978"	"788,635"
Canada	336340	"878,161"	"972,584"	"1,001,239"	"880,094"	"786,685"	"879,674"	"889,484"	"1,027,124"	"969,135"	"890,250"
Canada	335929	"405,359"	"419,639"	"467,494"	"559,312"	"508,769"	"395,497"	"369,997"	"411,885"	"479,325"	"645,322"
Canada	311999	"145,606"	"203,102"	"242,746"	"247,941"	"326,648"	"390,341"	"439,591"	"497,191"	"536,413"	"552,225"
Canada	331319	"164,266"	"161,524"	"176,014"	"190,916"	"167,250"	"211,042"	"297,274"	"377,788"	"435,183"	"560,858"
Canada	332911	"295,657"	"313,659"	"338,569"	"362,718"	"382,547"	"372,750"	"382,658"	"443,574"	"500,421"	"562,431"
Canada	335314	"318,267"	"351,537"	"375,491"	"441,748"	"406,193"	"382,475"	"371,232"	"410,359"	"486,590"	"544,190"
Canada	311340	"131,860"	"158,160"	"180,521"	"203,491"	"265,613"	"296,700"	"425,694"	"494,648"	"540,535"	"553,482"
Canada	333415	"271,023"	"310,401"	"330,141"	"379,592"	"413,890"	"392,185"	"375,953"	"398,223"	"431,850"	"473,393"
Canada	333924	"277,056"	"403,249"	"480,236"	"502,045"	"397,383"	"352,795"	"359,794"	"406,173"	"516,719"	"567,686"
Canada	333618	"167,139"	"262,454"	"273,501"	"269,568"	"241,891"	"218,527"	"280,181"	"377,234"	"467,976"	"599,657"
Canada	112210	"304,455"	"272,536"	"216,199"	"290,000"	"349,133"	"300,916"	"391,254"	"530,290"	"598,116"	"579,444"
Canada	333220	"457,630"	"488,459"	"465,788"	"469,359"	"380,359"	"411,098"	"428,333"	"453,021"	"527,452"	"557,371"
Canada	322223	"210,287"	"236,881"	"262,427"	"312,963"	"338,970"	"328,117"	"381,994"	"408,203"	"492,803"	"488,404"
Canada	112511	"226,267"	"260,019"	"287,503"	"272,429"	"363,453"	"384,455"	"320,296"	"292,811"	"371,296"	"446,738"
Canada	333911	"146,395"	"165,153"	"134,766"	"149,197"	"171,813"	"177,936"	"183,533"	"224,875"	"287,741"	"310,685"
Canada	321999	"267,944"	"318,318"	"379,394"	"416,582"	"401,291"	"435,358"	"512,719"	"569,928"	"613,010"	"548,680"
Canada	334419	"349,708"	"341,987"	"443,509"	"536,863"	"485,436"	"486,950"	"500,226"	"628,019"	"576,344"	"526,659"
Canada	333314	"192,838"	"260,503"	"428,215"	"981,078"	"585,987"	"237,533"	"149,741"	"182,693"	"201,255"	"173,941"
Canada	321213	"308,016"	"454,321"	"665,769"	"504,613"	"485,340"	"542,900"	"610,849"	"900,292"	"963,479"	"898,791"
Canada	325414	"25,454"	"37,747"	"88,742"	"72,369"	"90,713"	"89,533"	"138,525"	"96,516"	"85,380"	"264,498"
Canada	337211	"275,482"	"345,984"	"386,397"	"443,216"	"383,809"	"367,245"	"395,120"	"403,414"	"419,012"	"454,366"
Canada	334519	"76,713"	"100,191"	"86,001"	"96,750"	"116,575"	"220,802"	"179,590"	"236,747"	"286,021"	"332,619"
Canada	334511	"266,507"	"245,268"	"215,960"	"218,915"	"198,378"	"177,123"	"138,142"	"203,665"	"187,177"	"242,347"
Canada	322212	"242,258"	"283,028"	"282,340"	"316,355"	"354,090"	"380,241"	"399,722"	"405,330"	"418,379"	"438,270"
Canada	336992	"45,269"	"48,212"	"21,923"	"46,752"	"36,715"	"148,254"	"145,921"	"178,117"	"141,410"	"200,674"
Canada	336612	"445,510"	"345,102"	"342,267"	"362,645"	"426,196"	"457,156"	"401,332"	"391,981"	"400,297"	"452,161"
Canada	212393	"93,351"	"93,927"	"79,247"	"69,212"	"80,381"	"70,313"	"120,864"	"87,109"	"89,022"	"101,007"
Canada	114111	"380,061"	"387,597"	"433,955"	"464,251"	"411,511"	"441,416"	"458,062"	"461,476"	"460,274"	"422,559"
Canada	334513	"270,936"	"253,165"	"259,867"	"276,697"	"284,778"	"275,087"	"253,249"	"276,021"	"309,836"	"347,975"
Canada	333922	"199,109"	"224,201"	"220,813"	"284,608"	"232,114"	"210,579"	"222,939"	"268,902"	"333,472"	"378,331"
Canada	339991	"243,773"	"249,060"	"269,579"	"302,155"	"313,564"	"363,414"	"395,371"	"474,199"	"467,796"	"433,100"
Canada	333996	"76,043"	"72,188"	"91,071"	"122,392"	"138,694"	"153,546"	"185,841"	"218,914"	"244,802"	"295,554"
Canada	325998	"191,603"	"203,958"	"199,788"	"207,720"	"186,285"	"173,360"	"200,063"	"252,733"	"270,500"	"281,487"
Canada	212399	"214,888"	"217,902"	"224,444"	"238,885"	"256,360"	"234,989"	"242,100"	"263,710"	"321,461"	"366,185"
Canada	336211	"181,172"	"217,586"	"275,053"	"369,356"	"326,767"	"270,046"	"282,413"	"285,462"	"379,307"	"380,532"
Canada	332321	"131,947"	"200,620"	"237,019"	"291,967"	"283,374"	"299,369"	"294,900"	"358,367"	"328,395"	"360,181"
Canada	333611	"201,042"	"259,129"	"223,552"	"504,187"	"665,357"	"659,305"	"328,268"	"233,580"	"180,047"	"174,225"
Canada	325611	"231,618"	"219,864"	"263,939"	"249,492"	"282,819"	"315,538"	"309,269"	"334,926"	"350,671"	"407,516"
Canada	326220	"205,261"	"239,533"	"257,439"	"287,640"	"256,561"	"239,505"	"250,837"	"277,088"	"332,279"	"355,350"
Canada	331491	"149,126"	"350,943"	"324,025"	"304,080"	"125,412"	"130,327"	"73,639"	"76,392"	"75,090"	"127,328"
Canada	334515	"243,308"	"169,478"	"195,124"	"241,755"	"250,686"	"251,189"	"240,117"	"261,859"	"278,649"	"329,257"
Canada	321911	"143,429"	"178,288"	"228,899"	"295,359"	"321,056"	"341,795"	"360,853"	"428,999"	"477,637"	"492,783"
Canada	323117	"206,110"	"238,960"	"256,548"	"273,676"	"294,780"	"290,962"	"322,989"	"342,237"	"335,615"	"320,463"
Canada	322222	"359,470"	"370,549"	"414,710"	"391,820"	"353,774"	"396,020"	"387,111"	"379,084"	"375,909"	"388,144"
Canada	331316	"212,807"	"242,668"	"269,757"	"282,490"	"243,372"	"270,411"	"260,124"	"330,477"	"365,416"	"441,480"
Canada	327310	"269,578"	"255,901"	"280,815"	"268,878"	"287,105"	"302,967"	"327,199"	"319,654"	"319,262"	"325,247"
Canada	332722	"278,503"	"283,031"	"301,900"	"320,170"	"242,616"	"260,577"	"255,379"	"333,634"	"359,521"	"367,529"
Canada	334516	"111,225"	"125,804"	"137,718"	"200,279"	"201,273"	"209,654"	"232,447"	"256,515"	"314,479"	"344,770"
Canada	335311	"139,261"	"159,162"	"237,149"	"250,086"	"304,078"	"269,186"	"226,516"	"261,514"	"255,023"	"248,056"
Canada	311230	"106,167"	"98,805"	"107,337"	"108,801"	"148,322"	"191,868"	"209,760"	"185,676"	"222,329"	"267,443"
Canada	311421	"131,059"	"110,838"	"135,046"	"133,997"	"158,298"	"190,483"	"209,153"	"242,286"	"244,648"	"261,318"
Canada	312120	"192,245"	"189,833"	"191,782"	"222,932"	"242,665"	"222,145"	"236,814"	"230,879"	"243,167"	"289,763"
Canada	313210	"352,232"	"371,201"	"355,140"	"376,433"	"354,688"	"363,645"	"362,345"	"379,570"	"342,886"	"318,532"
Canada	331222	"247,861"	"226,015"	"231,028"	"215,367"	"206,196"	"205,456"	"212,348"	"306,910"	"262,651"	"238,456"
Canada	326160	"101,069"	"117,943"	"127,664"	"155,608"	"165,242"	"170,478"	"188,210"	"200,718"	"243,856"	"274,976"
Canada	321211	"280,820"	"298,627"	"343,275"	"382,245"	"353,755"	"376,665"	"348,863"	"406,702"	"422,181"	"423,471"
Canada	325510	"208,220"	"219,132"	"256,217"	"275,955"	"252,829"	"248,945"	"263,871"	"296,706"	"309,133"	"341,625"
Canada	325222	"371,593"	"389,044"	"371,568"	"365,969"	"340,435"	"368,959"	"352,028"	"375,552"	"403,007"	"411,168"
Canada	333912	"55,584"	"86,510"	"85,739"	"100,544"	"118,337"	"149,947"	"125,509"	"179,095"	"201,400"	"271,104"
Canada	336510	"859,880"	"1,340,338"	"1,131,716"	"774,646"	"445,023"	"292,453"	"421,450"	"498,879"	"478,246"	"393,410"
Canada	335129	"103,889"	"121,507"	"142,266"	"176,027"	"175,607"	"173,726"	"176,289"	"224,793"	"241,925"	"264,352"
Canada	325131	"172,528"	"180,204"	"191,633"	"177,367"	"169,658"	"178,417"	"197,820"	"218,293"	"277,392"	"302,217"
Canada	312140	"343,580"	"332,248"	"378,313"	"381,838"	"357,376"	"300,563"	"295,134"	"318,348"	"279,167"	"272,190"
Canada	334111	"767,262"	"664,071"	"284,761"	"351,096"	"208,309"	"168,505"	"424,212"	"556,900"	"572,752"	"270,030"
Canada	333414	"91,225"	"116,021"	"151,461"	"165,210"	"179,384"	"158,178"	"166,482"	"218,300"	"278,441"	"298,740"
Canada	335313	"144,531"	"140,737"	"139,205"	"170,500"	"171,682"	"152,368"	"150,845"	"155,698"	"184,867"	"208,917"
Canada	333514	"110,666"	"149,399"	"114,204"	"133,260"	"122,556"	"157,096"	"202,511"	"209,991"	"201,771"	"296,300"
Canada	111998	"123,118"	"128,094"	"127,307"	"123,276"	"130,918"	"126,114"	"133,613"	"143,773"	"159,034"	"204,381"
Canada	311822	"81,029"	"109,513"	"117,741"	"119,470"	"106,817"	"103,171"	"146,836"	"190,328"	"208,250"	"231,695"
Canada	333993	"163,023"	"154,123"	"164,867"	"166,981"	"171,319"	"161,800"	"169,147"	"202,388"	"204,285"	"219,155"
Canada	333513	"206,427"	"228,576"	"242,838"	"228,056"	"226,483"	"204,038"	"196,283"	"239,527"	"278,300"	"323,620"
Canada	337110	"244,544"	"286,920"	"350,452"	"422,034"	"459,395"	"494,329"	"530,958"	"583,857"	"543,270"	"537,664"
Canada	325613	"81,056"	"79,468"	"64,003"	"68,484"	"65,635"	"76,936"	"96,516"	"182,607"	"188,387"	"208,132"
Canada	339999	"117,412"	"151,213"	"167,613"	"167,676"	"169,396"	"186,054"	"219,064"	"234,720"	"210,407"	"257,987"
Canada	212299	"19,354"	"17,524"	"41,018"	"22,160"	"27,291"	"41,882"	"53,013"	"92,562"	"201,423"	"192,747"
Canada	335221	"120,581"	"136,002"	"164,163"	"192,957"	"188,516"	"245,848"	"272,798"	"264,803"	"274,592"	"282,439"
Canada	332991	"175,439"	"198,344"	"208,223"	"217,185"	"195,758"	"199,653"	"187,110"	"200,275"	"226,124"	"229,935"
Canada	325212	"247,936"	"212,593"	"241,391"	"258,702"	"245,229"	"229,686"	"177,836"	"197,388"	"221,904"	"232,467"
Canada	337214	"257,833"	"351,034"	"366,748"	"489,281"	"386,899"	"273,496"	"241,436"	"217,304"	"231,752"	"242,908"
Canada	334310	"89,817"	"102,033"	"128,132"	"152,229"	"134,027"	"135,214"	"129,833"	"165,218"	"197,372"	"251,892"
Canada	311211	"76,863"	"74,198"	"73,977"	"80,637"	"84,970"	"123,745"	"124,103"	"130,827"	"129,197"	"137,823"
Canada	332410	"157,309"	"153,287"	"142,195"	"144,998"	"235,121"	"185,713"	"219,727"	"180,746"	"138,481"	"188,080"
Canada	339920	"309,755"	"340,801"	"387,788"	"392,246"	"366,278"	"342,074"	"349,952"	"311,855"	"277,182"	"290,640"
Canada	111421	"157,774"	"191,735"	"213,844"	"243,066"	"270,940"	"277,803"	"289,330"	"293,172"	"265,830"	"263,360"
Canada	335211	"36,987"	"54,194"	"59,147"	"103,443"	"145,946"	"213,431"	"188,127"	"199,146"	"189,400"	"210,916"
Canada	212112	"48,587"	"43,119"	"36,209"	"76,323"	"115,238"	"98,800"	"103,840"	"153,924"	"195,018"	"204,131"
Canada	336212	"62,093"	"87,541"	"124,728"	"133,106"	"170,217"	"214,745"	"189,570"	"222,876"	"257,638"	"280,739"
Canada	311920	"105,063"	"166,641"	"169,076"	"172,885"	"164,502"	"166,153"	"162,991"	"178,896"	"192,885"	"199,045"
Canada	322299	"96,512"	"98,141"	"106,804"	"114,332"	"124,243"	"282,843"	"161,900"	"133,876"	"136,759"	"180,656"
Canada	333131	"64,584"	"68,853"	"83,875"	"101,063"	"88,896"	"87,074"	"85,192"	"118,771"	"141,064"	"147,533"
Canada	327993	"111,825"	"109,708"	"171,364"	"189,194"	"182,186"	"188,606"	"200,374"	"235,140"	"271,436"	"294,806"
Canada	336214	"234,023"	"184,558"	"188,464"	"195,253"	"234,323"	"219,988"	"229,941"	"274,332"	"247,123"	"235,772"
Canada	327390	"84,210"	"88,969"	"129,938"	"144,703"	"160,627"	"160,636"	"147,928"	"150,518"	"174,907"	"196,908"
Canada	326122	"100,576"	"118,005"	"164,781"	"168,862"	"169,858"	"142,895"	"154,487"	"179,276"	"233,976"	"245,711"
Canada	311615	"19,935"	"24,900"	"36,647"	"48,111"	"67,854"	"76,926"	"90,308"	"125,810"	"121,678"	"148,282"
Canada	311213	"14,196"	"10,404"	"17,860"	"34,302"	"40,109"	"44,707"	"50,324"	"57,663"	"49,641"	"63,335"
Canada	335228	"104,136"	"113,768"	"155,267"	"151,314"	"127,317"	"139,530"	"169,919"	"184,358"	"217,166"	"232,851"
Canada	335224	"73,531"	"100,377"	"119,125"	"139,294"	"96,899"	"112,790"	"115,898"	"154,477"	"182,128"	"218,083"
Canada	313320	"88,860"	"115,275"	"122,527"	"127,943"	"144,375"	"181,044"	"225,023"	"207,328"	"209,125"	"224,451"
Canada	321212	"84,750"	"111,465"	"206,570"	"206,963"	"257,285"	"282,506"	"315,302"	"429,617"	"455,471"	"409,124"
Canada	332611	"303,266"	"320,252"	"356,937"	"355,355"	"263,622"	"267,441"	"266,377"	"264,082"	"298,739"	"281,473"
Canada	311221	"93,110"	"98,963"	"100,749"	"90,337"	"98,895"	"101,188"	"108,195"	"118,253"	"99,882"	"103,531"
Canada	334510	"62,338"	"68,639"	"94,000"	"106,869"	"117,679"	"179,572"	"226,612"	"259,303"	"239,987"	"283,329"
Canada	333995	"40,910"	"49,479"	"58,032"	"73,245"	"72,764"	"70,467"	"89,226"	"111,251"	"144,399"	"164,147"
Canada	332919	"92,372"	"105,512"	"114,672"	"144,729"	"138,580"	"114,731"	"113,293"	"141,913"	"163,820"	"185,664"
Canada	325520	"63,348"	"71,383"	"92,480"	"94,151"	"98,427"	"110,123"	"124,336"	"153,128"	"187,416"	"211,621"
Canada	334412	"387,631"	"345,823"	"291,246"	"337,251"	"314,778"	"334,822"	"308,293"	"411,206"	"362,326"	"225,876"
Canada	333612	"105,342"	"100,937"	"106,466"	"101,869"	"118,858"	"122,009"	"159,081"	"137,981"	"147,942"	"161,850"
Canada	332420	"72,136"	"82,793"	"88,781"	"97,938"	"93,679"	"105,707"	"100,063"	"111,109"	"125,482"	"131,254"
Canada	333994	"56,344"	"67,623"	"61,831"	"72,126"	"63,818"	"62,945"	"76,629"	"72,032"	"81,105"	"102,806"
Canada	311225	"91,820"	"110,742"	"92,926"	"82,626"	"81,052"	"86,623"	"91,363"	"115,746"	"103,919"	"95,668"
Canada	111211	"64,423"	"96,757"	"89,210"	"77,051"	"67,059"	"103,761"	"89,857"	"74,674"	"91,135"	"116,069"
Canada	326121	"158,857"	"164,762"	"197,936"	"232,736"	"232,545"	"259,879"	"282,608"	"317,364"	"297,041"	"260,161"
Canada	327212	"90,214"	"95,889"	"110,211"	"94,387"	"94,595"	"93,295"	"100,430"	"97,548"	"136,354"	"162,633"
Canada	339113	"88,036"	"99,115"	"105,967"	"114,989"	"103,187"	"87,434"	"101,101"	"108,390"	"119,797"	"137,252"
Canada	327211	"221,144"	"198,824"	"208,304"	"181,089"	"150,660"	"148,487"	"165,036"	"154,420"	"154,669"	"182,401"
Canada	331492	"124,021"	"168,913"	"129,417"	"169,675"	"145,719"	"105,257"	"65,375"	"103,275"	"99,352"	"138,502"
Canada	327910	"166,769"	"166,985"	"158,037"	"162,514"	"116,086"	"110,486"	"125,723"	"147,976"	"141,665"	"158,360"
Canada	325181	"114,657"	"93,606"	"64,576"	"93,526"	"98,447"	"89,363"	"115,656"	"131,090"	"216,295"	"209,333"
Canada	311941	"32,822"	"49,025"	"57,014"	"65,082"	"80,921"	"92,793"	"103,621"	"104,460"	"123,136"	"154,229"
Canada	322211	"86,597"	"94,800"	"110,413"	"139,321"	"139,243"	"132,274"	"133,787"	"138,594"	"157,907"	"174,845"
Canada	333613	"83,292"	"99,173"	"105,733"	"115,290"	"93,162"	"112,112"	"125,226"	"137,870"	"143,176"	"158,497"
Canada	332618	"98,937"	"115,516"	"126,681"	"136,474"	"127,550"	"119,540"	"119,137"	"131,042"	"160,408"	"146,929"
Canada	336370	"58,692"	"71,015"	"79,956"	"136,935"	"103,833"	"139,031"	"142,201"	"180,308"	"195,924"	"190,132"
Canada	333291	"152,467"	"159,677"	"180,804"	"147,330"	"131,954"	"115,240"	"121,832"	"126,269"	"132,357"	"134,877"
Canada	327215	"197,126"	"308,532"	"389,320"	"643,734"	"303,693"	"185,493"	"199,325"	"192,358"	"185,313"	"193,975"
Canada	311711	"128,759"	"151,079"	"158,096"	"160,471"	"146,892"	"135,459"	"141,762"	"144,277"	"140,424"	"131,105"
Canada	333921	"48,953"	"68,964"	"74,175"	"76,280"	"79,111"	"99,318"	"91,343"	"85,921"	"96,384"	"97,467"
Canada	315239	"274,495"	"335,856"	"357,326"	"425,521"	"384,243"	"399,583"	"367,924"	"366,917"	"316,513"	"293,358"
Canada	336322	"179,022"	"199,975"	"219,390"	"238,414"	"200,892"	"193,690"	"165,140"	"173,318"	"163,547"	"172,729"
Canada	311119	"160,572"	"151,799"	"139,077"	"136,252"	"136,743"	"143,653"	"126,062"	"110,153"	"96,498"	"104,260"
Canada	315222	"215,295"	"228,138"	"249,678"	"216,152"	"192,759"	"199,392"	"239,241"	"244,575"	"229,189"	"214,583"
Canada	333512	"178,551"	"148,402"	"153,201"	"207,666"	"157,967"	"120,924"	"99,998"	"85,486"	"117,859"	"107,494"
Canada	336991	"13,032"	"14,048"	"20,199"	"23,114"	"26,016"	"37,061"	"44,543"	"48,558"	"44,012"	"37,036"
Canada	311422	"35,157"	"46,206"	"53,357"	"53,670"	"56,588"	"59,405"	"47,827"	"55,787"	"83,981"	"93,179"
Canada	333412	"61,452"	"60,542"	"70,658"	"84,138"	"74,923"	"65,649"	"69,729"	"84,852"	"102,934"	"117,278"
Canada	335110	"130,020"	"148,396"	"183,062"	"189,036"	"172,798"	"161,143"	"152,702"	"153,062"	"155,929"	"165,651"
Canada	327213	"88,651"	"90,451"	"104,332"	"109,836"	"107,979"	"98,364"	"84,420"	"98,025"	"117,778"	"133,986"
Canada	326192	"86,085"	"88,470"	"128,301"	"163,526"	"150,605"	"142,452"	"139,834"	"138,967"	"138,705"	"130,831"
Canada	314110	"138,660"	"138,910"	"169,256"	"176,672"	"174,129"	"179,629"	"180,547"	"205,546"	"214,180"	"192,895"
Canada	920000	"58,699"	"74,222"	"76,553"	"111,099"	"71,131"	"65,412"	"62,014"	"81,226"	"109,429"	"118,042"
Canada	333923	"45,487"	"64,443"	"61,625"	"63,148"	"68,371"	"50,921"	"51,575"	"53,838"	"49,992"	"75,515"
Canada	325411	"99,380"	"145,263"	"144,326"	"166,916"	"157,650"	"156,279"	"87,789"	"97,428"	"93,525"	"121,823"
Canada	339913	"10,721"	"7,386"	"15,070"	"16,362"	"29,099"	"39,069"	"79,641"	"114,720"	"125,926"	"127,257"
Canada	335931	"55,613"	"56,824"	"72,049"	"100,845"	"95,070"	"93,383"	"72,879"	"91,935"	"100,454"	"115,503"
Canada	311514	"43,067"	"59,809"	"73,784"	"74,145"	"83,749"	"94,223"	"91,943"	"117,319"	"125,326"	"116,256"
Canada	325182	"55,809"	"60,083"	"53,459"	"58,675"	"70,024"	"64,502"	"55,632"	"74,046"	"80,082"	"94,758"
Canada	331112	"40,926"	"47,480"	"30,621"	"28,223"	"22,908"	"33,500"	"31,461"	"81,588"	"129,411"	"123,306"
Canada	322130	"71,079"	"82,141"	"114,857"	"122,367"	"103,655"	"88,601"	"77,659"	"97,316"	"84,298"	"118,847"
Canada	327999	"59,799"	"91,807"	"105,570"	"113,128"	"101,382"	"102,656"	"100,671"	"107,673"	"136,575"	"132,239"
Canada	331511	"121,753"	"112,822"	"67,297"	"76,549"	"73,379"	"66,966"	"55,907"	"79,685"	"113,446"	"143,198"
Canada	339112	"44,674"	"36,944"	"50,951"	"51,082"	"57,539"	"53,674"	"49,642"	"58,067"	"89,949"	"85,327"
Canada	333298	"32,084"	"46,144"	"47,650"	"47,941"	"52,183"	"49,643"	"48,746"	"57,334"	"81,683"	"100,111"
Canada	322233	"231,665"	"216,942"	"211,461"	"363,352"	"323,435"	"307,979"	"393,156"	"152,350"	"168,884"	"285,712"
Canada	111334	"31,650"	"54,155"	"47,026"	"46,353"	"52,596"	"52,522"	"67,191"	"88,884"	"90,548"	"103,556"
Canada	113310	"81,042"	"107,551"	"150,674"	"209,227"	"190,698"	"209,820"	"191,489"	"202,063"	"290,782"	"269,853"
Canada	333319	"47,321"	"53,226"	"57,955"	"63,447"	"60,650"	"60,295"	"64,962"	"83,474"	"105,372"	"111,467"
Canada	321920	"59,218"	"79,363"	"108,975"	"129,599"	"113,663"	"127,997"	"127,567"	"147,124"	"151,725"	"133,721"
Canada	111110	"18,524"	"41,018"	"20,008"	"27,644"	"22,506"	"17,620"	"38,491"	"23,895"	"28,498"	"23,634"
Canada	324122	"66,503"	"26,359"	"27,660"	"26,828"	"39,582"	"39,432"	"42,712"	"58,446"	"63,211"	"70,447"
Canada	333992	"97,004"	"115,170"	"130,789"	"110,625"	"87,193"	"110,642"	"116,596"	"188,732"	"140,524"	"164,711"
Canada	331421	"120,167"	"116,702"	"105,327"	"136,780"	"110,858"	"96,013"	"94,585"	"134,729"	"130,253"	"200,961"
Canada	332115	"24,509"	"26,444"	"31,301"	"34,206"	"63,596"	"64,607"	"89,338"	"97,943"	"102,466"	"104,338"
Canada	111130	"32,386"	"26,789"	"28,939"	"34,148"	"52,813"	"71,433"	"61,011"	"67,342"	"65,527"	"61,123"
Canada	111150	"38,070"	"34,026"	"37,771"	"28,617"	"21,753"	"32,802"	"39,654"	"45,385"	"39,565"	"29,676"
Canada	339932	"165,265"	"179,271"	"193,708"	"203,956"	"185,725"	"172,271"	"156,843"	"139,480"	"133,561"	"104,464"
Canada	325920	"53,955"	"50,323"	"59,293"	"63,276"	"60,424"	"54,853"	"63,561"	"84,101"	"85,758"	"104,224"
Canada	327991	"44,102"	"54,476"	"70,614"	"90,110"	"100,011"	"94,729"	"87,418"	"97,036"	"94,026"	"102,806"
Canada	312111	"110,219"	"91,822"	"114,259"	"107,733"	"81,878"	"85,905"	"92,638"	"122,975"	"153,815"	"143,805"
Canada	311111	"110,530"	"111,394"	"104,447"	"93,089"	"103,547"	"117,788"	"93,448"	"100,384"	"97,361"	"119,648"
Canada	314999	"68,089"	"76,344"	"88,638"	"110,559"	"136,794"	"130,337"	"123,178"	"117,341"	"121,472"	"104,319"
Canada	314992	"44,802"	"45,422"	"51,824"	"53,045"	"52,162"	"48,931"	"51,578"	"66,313"	"75,798"	"88,486"
Canada	332439	"110,127"	"117,293"	"130,777"	"133,175"	"150,887"	"132,071"	"131,905"	"135,549"	"130,827"	"120,449"
Canada	336321	"53,225"	"53,100"	"44,606"	"45,035"	"52,424"	"72,862"	"94,914"	"123,839"	"102,868"	"104,105"
Canada	336213	"65,792"	"76,467"	"84,958"	"90,410"	"74,414"	"97,257"	"104,164"	"104,746"	"103,934"	"117,731"
Canada	333313	"63,878"	"70,771"	"69,982"	"61,425"	"134,655"	"106,515"	"131,128"	"149,622"	"160,893"	"174,832"
Canada	321918	"83,689"	"99,462"	"125,457"	"139,129"	"119,435"	"121,896"	"133,030"	"130,737"	"125,565"	"127,311"
Canada	332994	"21,669"	"24,198"	"21,726"	"23,716"	"33,742"	"31,006"	"36,874"	"40,030"	"38,463"	"56,282"
Canada	332431	"44,920"	"34,291"	"53,631"	"49,629"	"47,111"	"43,995"	"46,679"	"64,172"	"86,478"	"107,086"
Canada	337121	"87,716"	"109,123"	"144,329"	"192,013"	"201,150"	"199,994"	"212,245"	"210,545"	"183,807"	"151,955"
Canada	334290	"98,460"	"106,777"	"104,288"	"106,220"	"124,490"	"102,120"	"89,713"	"111,569"	"100,136"	"102,959"
Canada	334417	"106,667"	"113,799"	"114,476"	"142,554"	"107,956"	"83,916"	"88,807"	"101,019"	"94,423"	"87,180"
Canada	325320	"83,318"	"84,827"	"70,034"	"92,227"	"80,602"	"52,258"	"54,757"	"54,620"	"75,392"	"98,758"
Canada	334416	"43,265"	"47,825"	"57,777"	"71,480"	"67,890"	"64,925"	"62,487"	"68,651"	"60,534"	"77,326"
Canada	313221	"50,016"	"55,354"	"58,392"	"68,411"	"66,869"	"68,879"	"73,177"	"80,595"	"87,260"	"89,529"
Canada	212322	"7,322"	"6,076"	"10,362"	"13,879"	"19,622"	"29,612"	"29,179"	"31,027"	"44,382"	"49,421"
Canada	333411	"32,076"	"31,098"	"30,545"	"25,647"	"30,345"	"34,916"	"38,694"	"44,327"	"58,827"	"60,576"
Canada	315224	"103,097"	"120,782"	"118,493"	"144,367"	"119,730"	"127,707"	"130,387"	"114,466"	"95,813"	"95,155"
Canada	334512	"86,012"	"106,259"	"117,017"	"115,490"	"100,054"	"75,871"	"43,064"	"49,682"	"59,864"	"68,131"
Canada	311613	"64,797"	"55,068"	"55,653"	"53,337"	"54,762"	"55,833"	"41,028"	"49,806"	"49,930"	"52,400"
Canada	332912	"23,472"	"21,272"	"26,560"	"39,688"	"51,370"	"53,248"	"73,929"	"88,425"	"94,212"	"110,987"
Canada	335991	"57,559"	"61,033"	"40,688"	"32,449"	"21,757"	"29,067"	"39,856"	"39,973"	"50,656"	"58,387"
Canada	315999	"25,946"	"33,007"	"42,436"	"76,303"	"85,998"	"108,485"	"93,546"	"96,595"	"131,282"	"104,412"
Canada	333294	"50,336"	"42,523"	"53,126"	"51,734"	"51,091"	"45,543"	"59,186"	"69,850"	"69,302"	"69,155"
Canada	336391	"27,511"	"47,109"	"45,062"	"79,461"	"94,718"	"133,388"	"149,238"	"136,186"	"123,137"	"94,896"
Canada	314129	"46,982"	"93,201"	"78,535"	"83,422"	"90,063"	"116,377"	"94,071"	"111,563"	"86,488"	"79,851"
Canada	212319	"40,398"	"54,557"	"68,838"	"85,754"	"52,896"	"58,018"	"62,709"	"68,814"	"63,500"	"76,660"
Canada	313111	"106,048"	"129,812"	"147,016"	"158,950"	"144,559"	"130,862"	"132,970"	"149,560"	"128,676"	"112,452"
Canada	112930	"35,672"	"28,516"	"24,731"	"30,655"	"30,999"	"26,973"	"30,295"	"35,770"	"32,203"	"51,226"
Canada	327125	"63,774"	"66,033"	"68,487"	"57,156"	"47,672"	"57,008"	"60,968"	"63,575"	"68,622"	"70,288"
Canada	332212	"66,715"	"66,980"	"70,694"	"84,503"	"66,607"	"79,378"	"71,064"	"68,437"	"73,316"	"70,695"
Canada	334612	"64,243"	"86,958"	"106,287"	"99,306"	"110,858"	"96,535"	"96,644"	"98,152"	"105,337"	"94,097"
Canada	311930	"4,964"	"6,023"	"9,396"	"11,629"	"9,522"	"15,054"	"31,075"	"52,049"	"57,486"	"60,012"
Canada	332311	"39,753"	"50,238"	"54,085"	"50,111"	"57,973"	"46,475"	"51,116"	"67,270"	"89,770"	"89,761"
Canada	332992	"14,054"	"13,967"	"9,804"	"10,416"	"14,581"	"63,164"	"76,961"	"106,576"	"93,758"	"117,140"
Canada	321114	"34,317"	"46,551"	"51,006"	"46,377"	"45,050"	"60,279"	"49,470"	"54,285"	"69,291"	"70,585"
Canada	315228	"66,518"	"78,095"	"88,521"	"94,078"	"102,729"	"91,495"	"96,858"	"94,565"	"84,140"	"97,580"
Canada	333515	"55,728"	"52,370"	"55,611"	"59,796"	"56,360"	"54,527"	"57,669"	"68,346"	"70,870"	"71,132"
Canada	111411	"12,307"	"18,198"	"26,612"	"34,995"	"42,294"	"51,528"	"61,564"	"63,940"	"76,061"	"75,112"
Canada	335911	"30,338"	"46,084"	"42,647"	"41,619"	"33,465"	"27,625"	"39,176"	"57,063"	"107,966"	"138,661"
Canada	325120	"44,606"	"44,416"	"34,961"	"42,630"	"35,709"	"41,000"	"43,104"	"45,154"	"38,966"	"49,058"
Canada	112990	"25,429"	"28,447"	"32,250"	"32,242"	"30,767"	"28,613"	"24,995"	"26,113"	"38,556"	"46,609"
Canada	312221	"13,630"	"12,930"	"10,870"	"11,386"	"19,248"	"26,845"	"32,007"	"40,359"	"52,967"	"54,305"
Canada	333210	"58,945"	"60,719"	"75,928"	"82,071"	"55,413"	"56,913"	"55,105"	"68,048"	"91,722"	"116,676"
Canada	315232	"135,419"	"157,423"	"208,189"	"243,844"	"187,432"	"193,374"	"195,935"	"160,299"	"141,268"	"131,611"
Canada	112910	"18,288"	"22,812"	"28,470"	"24,743"	"22,696"	"53,135"	"43,144"	"34,032"	"25,583"	"28,704"
Canada	339114	"30,723"	"28,086"	"27,578"	"31,054"	"36,838"	"39,449"	"49,959"	"49,169"	"53,264"	"56,777"
Canada	326191	"48,780"	"65,530"	"87,311"	"86,641"	"77,694"	"75,415"	"78,875"	"76,727"	"80,335"	"82,035"
Canada	332214	"37,586"	"34,897"	"42,033"	"40,325"	"39,978"	"31,504"	"38,071"	"44,301"	"63,795"	"80,414"
Canada	315234	"94,826"	"105,289"	"134,773"	"148,734"	"136,756"	"132,220"	"123,902"	"136,487"	"112,622"	"92,074"
Canada	313230	"51,480"	"43,518"	"49,667"	"54,549"	"50,947"	"49,053"	"41,933"	"56,256"	"68,814"	"50,660"
Canada	311942	"20,159"	"19,445"	"23,815"	"23,731"	"25,891"	"32,585"	"28,242"	"26,734"	"28,379"	"31,610"
Canada	339950	"26,637"	"27,977"	"33,932"	"28,718"	"37,472"	"32,712"	"35,678"	"50,126"	"49,729"	"54,816"
Canada	311919	"7,527"	"14,709"	"27,864"	"52,866"	"62,021"	"60,171"	"59,398"	"59,382"	"58,424"	"65,727"
Canada	326112	"3,534"	"14,900"	"23,189"	"21,633"	"9,884"	"11,972"	"15,402"	"31,199"	"30,226"	"31,800"
Canada	327992	"31,696"	"32,095"	"37,136"	"41,380"	"36,128"	"38,971"	"37,424"	"48,712"	"41,050"	"39,100"
Canada	311222	"18,000"	"7,672"	"14,836"	"10,998"	"9,851"	"13,280"	"16,080"	"14,504"	"18,783"	"25,713"
Canada	313249	"161,535"	"205,305"	"265,238"	"310,987"	"318,258"	"265,512"	"249,581"	"213,088"	"230,259"	"195,861"
Canada	315233	"49,039"	"43,957"	"54,354"	"55,759"	"48,959"	"46,004"	"45,712"	"41,553"	"38,730"	"43,900"
Canada	339992	"25,766"	"31,000"	"31,031"	"38,848"	"40,232"	"42,484"	"40,995"	"44,983"	"45,586"	"44,394"
Canada	327331	"15,718"	"22,552"	"33,932"	"40,890"	"38,996"	"45,127"	"59,339"	"74,777"	"62,955"	"69,516"
Canada	1123XX	"29,919"	"23,984"	"29,016"	"28,781"	"32,808"	"38,048"	"35,316"	"42,448"	"40,699"	"47,230"
Canada	334517	"19,117"	"20,927"	"21,167"	"21,388"	"23,112"	"21,740"	"21,415"	"32,757"	"45,788"	"63,376"
Canada	322224	"20,979"	"25,689"	"34,885"	"35,248"	"38,246"	"39,342"	"32,728"	"35,304"	"32,629"	"34,400"
Canada	311911	"23,593"	"23,481"	"24,972"	"24,109"	"28,286"	"28,107"	"23,507"	"25,899"	"26,739"	"29,365"
Canada	335222	"86,316"	"87,105"	"120,794"	"127,163"	"118,553"	"132,534"	"102,667"	"92,044"	"70,475"	"53,212"
Canada	324121	"27,671"	"24,723"	"26,966"	"33,339"	"27,386"	"39,715"	"43,278"	"49,156"	"63,762"	"109,212"
Canada	212325	"27,370"	"26,923"	"26,444"	"27,937"	"27,243"	"29,329"	"30,971"	"33,305"	"38,118"	"39,246"
Canada	321992	"38,464"	"50,936"	"83,911"	"97,690"	"123,547"	"147,248"	"147,725"	"127,602"	"120,572"	"100,967"
Canada	112920	"30,483"	"28,147"	"31,311"	"30,078"	"34,545"	"32,991"	"28,503"	"34,847"	"32,899"	"31,131"
Canada	332322	"15,211"	"17,209"	"17,755"	"21,363"	"20,832"	"24,329"	"25,771"	"27,361"	"32,505"	"38,638"
Canada	333293	"144,337"	"138,876"	"201,505"	"192,672"	"145,045"	"106,093"	"111,380"	"118,031"	"114,280"	"124,492"
Canada	111422	"30,021"	"33,569"	"36,174"	"38,619"	"38,573"	"35,745"	"38,936"	"39,602"	"36,477"	"34,109"
Canada	31131X	"21,474"	"25,671"	"24,626"	"21,947"	"23,670"	"24,461"	"19,526"	"26,973"	"36,708"	"51,551"
Canada	339994	"12,189"	"11,010"	"10,789"	"11,906"	"13,166"	"11,705"	"12,991"	"17,324"	"28,432"	"32,441"
Canada	336611	"6,448"	"10,088"	"15,699"	"19,418"	"18,969"	"19,699"	"44,661"	"36,673"	"38,833"	"41,402"
Canada	325910	"32,098"	"35,209"	"35,318"	"45,155"	"50,865"	"47,435"	"45,260"	"47,062"	"46,868"	"47,490"
Canada	323118	"28,899"	"30,592"	"36,442"	"44,162"	"38,950"	"41,519"	"38,879"	"38,426"	"39,387"	"39,720"
Canada	311823	"16,928"	"39,948"	"44,845"	"45,937"	"27,127"	"28,564"	"31,391"	"29,871"	"34,114"	"39,471"
Canada	325193	255	"4,703"	"8,028"	"15,312"	"20,026"	"14,775"	"12,517"	"17,456"	"19,510"	"41,826"
Canada	335912	"2,355"	"8,274"	"12,703"	"16,338"	"9,691"	"12,281"	"16,928"	"18,146"	"17,637"	"21,814"
Canada	333516	"50,720"	"62,076"	"42,487"	"29,980"	"27,396"	"18,458"	"16,746"	"16,643"	"26,193"	"28,051"
Canada	315292	"91,226"	"80,164"	"75,026"	"96,334"	"91,835"	"77,231"	"75,473"	"77,897"	"66,227"	"56,523"
Canada	332213	"20,924"	"24,784"	"24,577"	"23,582"	"23,605"	"24,282"	"22,903"	"17,070"	"25,774"	"24,881"
Canada	327410	"22,618"	"17,737"	"12,846"	"10,098"	"12,316"	"15,109"	"15,303"	"18,516"	"25,716"	"28,419"
Canada	327420	"112,071"	"136,154"	"201,779"	"89,896"	"87,822"	"50,992"	"41,854"	"53,471"	"69,478"	"102,264"
Canada	333315	"86,223"	"109,323"	"76,944"	"70,016"	"27,140"	"30,727"	"26,615"	"26,241"	"32,706"	"40,601"
Canada	112512	"10,946"	"12,030"	"13,920"	"18,721"	"18,072"	"18,363"	"21,480"	"21,228"	"27,314"	"29,891"
Canada	111940	"10,611"	"7,656"	"7,151"	"8,496"	"8,965"	"6,719"	"6,437"	"9,709"	"10,362"	"14,846"
Canada	315223	"104,908"	"155,917"	"146,485"	"161,519"	"130,911"	"122,189"	"104,611"	"98,389"	"68,566"	"53,282"
Canada	333991	"33,564"	"28,096"	"20,848"	"25,143"	"24,169"	"25,861"	"25,919"	"40,407"	"45,165"	"46,572"
Canada	316991	"25,001"	"24,291"	"27,003"	"31,602"	"29,870"	"26,923"	"28,962"	"27,339"	"28,639"	"32,783"
Canada	332323	"13,804"	"23,701"	"21,467"	"19,861"	"28,684"	"14,440"	"16,323"	"18,549"	"21,072"	"30,803"
Canada	334514	"13,425"	"13,667"	"18,613"	"20,252"	"22,468"	"34,441"	"35,667"	"26,223"	"27,411"	"26,486"
Canada	325992	"225,309"	"202,699"	"219,094"	"210,639"	"185,399"	"134,823"	"103,937"	"46,460"	"21,669"	"22,282"
Canada	327113	"7,930"	"7,033"	"6,444"	"5,026"	"2,828"	"4,444"	"7,273"	"8,861"	"6,922"	"12,966"
Canada	311513	"18,075"	"25,521"	"27,909"	"20,644"	"22,427"	"24,461"	"25,590"	"31,750"	"21,081"	"23,097"
Canada	316211	"20,672"	"15,075"	"9,397"	"9,935"	"11,586"	"14,904"	"16,189"	"22,478"	"32,458"	"15,745"
Canada	111331	"23,766"	"20,431"	"21,283"	"21,873"	"20,758"	"25,274"	"25,646"	"20,463"	"21,676"	"26,788"
Canada	111910	"24,039"	"24,014"	"28,700"	"19,971"	"33,540"	"31,047"	"29,183"	"27,047"	"23,913"	"18,445"
Canada	315231	"30,102"	"39,651"	"54,674"	"56,388"	"62,562"	"52,528"	"46,813"	"55,538"	"46,645"	"29,181"
Canada	337910	"9,464"	"14,674"	"17,881"	"20,590"	"21,165"	"27,260"	"28,169"	"46,571"	"49,542"	"44,891"
Canada	315221	"29,637"	"41,516"	"53,283"	"65,832"	"86,027"	"91,863"	"89,741"	"89,476"	"73,976"	"69,656"
Canada	322215	"10,370"	"11,398"	"12,705"	"18,069"	"17,619"	"14,541"	"12,843"	"12,938"	"15,736"	"20,833"
Canada	333997	"11,336"	"8,526"	"6,152"	"7,332"	"9,352"	"10,595"	"11,323"	"13,182"	"17,192"	"20,042"
Canada	314991	"13,923"	"17,958"	"20,131"	"21,497"	"23,944"	"27,235"	"27,896"	"27,511"	"26,875"	"34,061"
Canada	332211	"5,826"	"19,615"	"35,052"	"17,348"	"29,404"	"27,650"	"36,436"	"25,414"	"23,336"	"22,110"
Canada	327124	"12,843"	"13,894"	"14,166"	"12,439"	"9,281"	"14,940"	"11,412"	"11,860"	"12,298"	"17,491"
Canada	334112	"70,302"	"68,603"	"31,452"	"29,583"	"25,839"	"21,472"	"22,716"	"22,129"	"17,825"	"11,621"
Canada	316219	"5,793"	"7,719"	"9,897"	"6,546"	"8,366"	"6,190"	"6,108"	"12,201"	"22,803"	"23,132"
Canada	325612	"12,164"	"14,324"	"14,491"	"16,850"	"15,876"	"13,690"	"15,476"	"17,052"	"18,958"	"30,435"
Canada	335932	"20,837"	"17,207"	"18,458"	"28,330"	"21,838"	"14,133"	"14,827"	"14,641"	"16,496"	"17,920"
Canada	325132	"25,815"	"24,110"	"22,671"	"20,923"	"16,150"	"17,695"	"13,380"	"15,317"	"18,311"	"22,153"
Canada	312112	"113,134"	"127,816"	"88,453"	"40,907"	"32,582"	"34,308"	"159,384"	"113,958"	"50,939"	"28,546"
Canada	315991	"16,529"	"18,973"	"19,868"	"21,414"	"25,671"	"35,576"	"25,706"	"28,358"	"20,866"	"21,398"
Canada	334415	"9,799"	"16,011"	"25,870"	"36,235"	"23,583"	"17,469"	"14,673"	"18,069"	"17,088"	"18,277"
Canada	332998	"15,977"	"17,888"	"24,823"	"25,738"	"28,186"	"30,847"	"28,404"	"21,944"	"27,288"	"25,686"
Canada	337124	"48,805"	"51,654"	"68,448"	"66,017"	"60,074"	"59,671"	"60,162"	"54,982"	"38,395"	"32,544"
Canada	31511X	"61,110"	"67,461"	"85,002"	"83,811"	"79,271"	"96,582"	"81,675"	"59,617"	"41,021"	"24,366"
Canada	316999	"24,987"	"24,776"	"17,906"	"17,754"	"20,681"	"18,857"	"18,970"	"20,504"	"17,278"	"17,865"
Canada	311423	"5,040"	"4,880"	"6,142"	"9,767"	"11,380"	"16,009"	"20,218"	"9,027"	"6,296"	"6,644"
Canada	322214	"3,678"	"3,985"	"7,447"	"11,467"	"11,939"	"14,222"	"14,090"	"17,490"	"17,763"	"19,398"
Canada	314911	"15,803"	"16,914"	"19,861"	"17,384"	"18,421"	"16,494"	"13,803"	"14,633"	"19,134"	"15,734"
Canada	114119	"11,373"	"9,559"	"10,923"	"11,147"	"9,137"	"8,538"	"8,633"	"9,320"	"12,221"	"12,959"
Canada	337920	"13,322"	"26,715"	"28,217"	"33,513"	"38,415"	"30,973"	"40,835"	"35,333"	"27,149"	"20,327"
Canada	322232	"10,207"	"11,355"	"12,527"	"15,568"	"16,910"	"19,200"	"22,892"	"28,485"	"27,804"	"28,160"
Canada	316214	"47,042"	"34,735"	"32,828"	"31,841"	"31,164"	"22,651"	"19,822"	"21,535"	"20,523"	"24,333"
Canada	327121	"3,348"	"2,993"	"5,786"	"9,965"	"6,499"	"6,231"	"5,901"	"7,991"	"9,371"	"7,160"
Canada	336419	"9,864"	"40,037"	"38,673"	"33,730"	"65,088"	"39,831"	"11,776"	"96,374"	"22,714"	"15,774"
Canada	339912	"10,062"	"8,665"	"5,446"	"4,428"	"3,277"	"2,574"	"2,726"	"3,427"	"9,447"	"9,023"
Canada	311520	237	"1,889"	"14,064"	"10,805"	"8,280"	"11,771"	"17,862"	"27,784"	"31,743"	"29,299"
Canada	335121	"22,934"	"24,288"	"26,132"	"28,489"	"24,726"	"26,038"	"27,709"	"28,854"	"21,913"	"20,842"
Canada	335212	"130,701"	"162,302"	"156,161"	"122,813"	"84,609"	"65,152"	"97,756"	"118,819"	"124,109"	"127,596"
Canada	311212	652	964	"1,130"	814	"1,863"	"2,469"	"2,613"	"3,028"	"2,833"	"4,232"
Canada	332997	"10,384"	"10,817"	"10,424"	"13,250"	"14,940"	"15,518"	"12,372"	"10,450"	"14,902"	"16,595"
Canada	332913	"16,688"	"18,044"	"24,710"	"24,529"	"25,853"	"21,972"	"20,116"	"19,060"	"18,148"	"15,468"
Canada	331311	"33,206"	"30,085"	"26,737"	"32,484"	"26,941"	"29,553"	"31,354"	"36,251"	"39,459"	"50,476"
Canada	314121	"8,175"	"11,635"	"19,092"	"19,649"	"18,219"	"17,856"	"13,981"	"10,999"	"10,120"	"13,531"
Canada	339993	"13,878"	"12,215"	"11,925"	"11,790"	"11,675"	"12,538"	"14,882"	"15,857"	"13,967"	"16,114"
Canada	312130	"2,461"	"3,619"	"23,513"	"48,857"	"63,360"	"67,213"	"41,428"	"24,335"	"33,584"	"21,691"
Canada	339941	"7,343"	"6,950"	"7,627"	"11,084"	"8,317"	"8,260"	"7,387"	"6,837"	"7,028"	"8,621"
Canada	325191	"13,060"	"14,549"	"12,263"	"15,212"	"14,163"	"15,189"	"13,810"	"11,480"	"10,944"	"8,357"
Canada	314912	"4,992"	"4,889"	"5,420"	"6,218"	"7,176"	"9,891"	"10,140"	"10,300"	"14,562"	"11,049"
Canada	316110	"41,996"	"42,587"	"37,329"	"36,831"	"39,093"	"32,240"	"16,111"	"11,833"	"10,133"	"11,750"
Canada	335921	"2,172"	"3,081"	"4,435"	"27,799"	"67,152"	"23,587"	"4,118"	"6,764"	"9,245"	"12,258"
Canada	333292	"7,839"	"9,492"	"8,942"	"11,332"	"8,116"	"7,931"	"12,538"	"9,067"	"17,050"	"12,294"
Canada	212311	"6,074"	"6,970"	"5,161"	"6,104"	"7,253"	"7,584"	"6,613"	"6,772"	"7,905"	"8,604"
Canada	333311	"20,577"	"24,644"	"24,478"	"21,641"	"14,140"	"11,688"	"20,803"	"12,513"	"11,632"	"14,484"
Canada	312113	"21,518"	"46,319"	"68,138"	"86,920"	"105,138"	"136,768"	"12,573"	"7,259"	"21,384"	"15,925"
Canada	321991	"2,012"	"5,436"	"7,720"	"4,925"	"9,420"	"17,994"	"14,219"	"12,401"	"18,444"	"13,679"
Canada	311511	"3,782"	"4,780"	"9,025"	"4,439"	"7,435"	"4,565"	"3,012"	"3,795"	"5,792"	"5,730"
Canada	323116	"8,936"	"5,721"	"7,491"	"8,133"	"6,617"	"10,475"	"12,243"	"12,301"	"9,518"	"5,088"
Canada	334518	"8,387"	"7,780"	"7,880"	"7,585"	"6,446"	"7,527"	"7,280"	"9,111"	"8,459"	"7,556"
Canada	111339	983	"1,039"	"1,673"	"1,714"	"1,626"	"3,264"	"2,684"	"1,367"	"1,369"	"3,772"
Canada	323122	"2,583"	"2,671"	"3,154"	"2,885"	"2,295"	"2,428"	"1,756"	"2,188"	"4,261"	"3,423"
Canada	333295	"18,736"	"30,662"	"32,718"	"31,625"	"19,054"	"14,684"	"20,752"	"27,278"	"25,189"	"37,599"
Canada	334414	"4,837"	"4,424"	"4,301"	"6,119"	"3,985"	"3,111"	"3,535"	"4,768"	"4,672"	"6,437"
Canada	212231	0	"1,300"	0	82	529	89	0	0	"2,074"	"4,162"
Canada	332995	"3,115"	"4,169"	"9,322"	"12,142"	"16,203"	"2,018"	"3,245"	"6,320"	"2,840"	"2,737"
Canada	111335	822	788	926	"1,729"	"1,495"	"1,605"	"2,026"	"2,388"	"2,595"	"3,840"
Canada	316213	"20,097"	"19,663"	"21,646"	"16,432"	"16,196"	"12,181"	"10,891"	"11,093"	"9,990"	"7,064"
Canada	113210	"8,038"	"5,207"	"4,162"	"4,931"	"5,827"	"5,026"	"8,668"	"9,226"	"6,158"	"15,946"
Canada	339914	"7,658"	"6,609"	"5,933"	"5,553"	"5,474"	"5,622"	"5,068"	"4,858"	"10,536"	"4,737"
Canada	327112	"6,568"	"6,374"	"6,586"	"6,549"	"6,849"	"6,918"	"8,515"	"15,222"	"19,161"	"13,025"
Canada	333913	"5,685"	"10,669"	"4,530"	"7,258"	"12,301"	"5,416"	"2,125"	"4,198"	"4,537"	"4,832"
Canada	339942	"5,879"	"6,687"	"7,830"	"11,608"	"14,001"	"11,686"	"9,184"	"7,094"	"8,828"	"6,939"
Canada	511210	"53,387"	"39,364"	"36,532"	"38,670"	"26,472"	"19,189"	"20,421"	"12,931"	"14,197"	"12,971"
Canada	326212	"2,060"	"3,191"	"2,960"	"3,447"	"3,462"	"3,032"	"2,739"	"5,187"	"5,765"	"6,949"
Canada	334411	"19,102"	"15,202"	"11,839"	"10,418"	"10,394"	"5,735"	"7,948"	"6,941"	"6,898"	"4,524"
Canada	334613	"19,132"	"16,919"	"14,344"	"18,537"	"33,389"	"31,050"	"21,945"	"11,095"	"3,333"	"1,534"
Canada	212221	45	0	407	"9,054"	"10,956"	"25,744"	"21,619"	"19,117"	"18,968"	"12,944"
Canada	339115	"9,506"	"19,469"	"12,148"	"16,549"	"16,314"	"16,256"	"12,064"	"9,904"	"10,273"	"8,721"
Canada	337129	"5,208"	"4,678"	"3,562"	"3,615"	"4,189"	"3,615"	"4,018"	"3,837"	"3,020"	"2,697"
Canada	315992	"4,572"	"5,652"	"6,853"	"5,902"	"5,162"	"5,360"	"5,592"	"4,693"	"3,961"	"5,017"
Canada	339944	"5,358"	"1,419"	"1,505"	"2,541"	"2,558"	"2,796"	"5,185"	"3,399"	"3,088"	"3,199"
Canada	315291	"8,801"	"9,179"	"8,981"	"12,505"	"11,768"	"8,894"	"6,459"	"5,326"	"4,096"	"3,251"
Canada	322213	"2,850"	"1,352"	"2,009"	"2,575"	"3,115"	"3,244"	"4,334"	"4,640"	"3,667"	"4,410"
Canada	327122	"1,268"	"1,894"	"1,765"	"1,917"	"1,238"	"1,380"	"1,174"	"1,138"	"1,410"	"2,339"
Canada	316992	"3,954"	"3,492"	"3,416"	"4,493"	"3,047"	"2,860"	"3,082"	"2,947"	"2,353"	"2,639"
Canada	316993	"5,625"	"6,833"	"7,795"	"6,217"	"6,091"	"5,459"	"5,705"	"5,473"	"4,977"	"5,007"
Canada	111332	966	"1,226"	"1,581"	"1,072"	328	617	313	"1,769"	"1,236"	"1,477"
Canada	336415	75	60	451	85	27	448	29	63	74	60
Canada	315993	"8,718"	"6,184"	"4,699"	"4,153"	"2,475"	"2,865"	"2,272"	"2,296"	"1,929"	"1,948"
Canada	212324	2	305	0	179	296	146	260	196	137	222
Canada	339943	"1,062"	618	977	977	889	"1,140"	"1,177"	"1,153"	970	"1,062"
Canada	311512	"1,979"	"11,731"	"14,001"	"8,461"	"29,911"	"21,542"	"16,984"	"36,941"	"36,035"	"21,490"
Canada	212234	812	"7,817"	2	17	"7,705"	"7,981"	228	880	5	187
Canada	111333	186	146	368	683	452	525	502	527	548	522
Canada	313113	"2,503"	"3,164"	"2,821"	"3,844"	"4,417"	"6,388"	"4,970"	"4,012"	"2,604"	786
Canada	212392	260	0	5	0	5	13	12	0	0	21
Canada	312229	"1,405"	"1,563"	"1,169"	505	485	605	373	691	117	182
Canada	327111	"3,802"	"4,574"	"3,813"	"2,906"	"1,630"	"2,429"	"3,074"	"5,427"	"3,417"	"2,449"
Canada	313312	69	216	143	389	303	726	"1,398"	805	283	443
Canada	327123	224	244	391	406	277	348	285	370	308	189
Canada	112410	"7,286"	"6,447"	"5,648"	"5,951"	"8,561"	"12,361"	"7,388"	575	633	873
Canada	331314	"2,252"	"2,378"	"2,079"	"2,136"	"1,145"	264	147	514	174	469
Canada	212291	0	0	0	0	0	0	0	0	"1,512"	0
Canada	325221	"36,897"	"26,817"	"23,968"	"6,889"	789	862	755	936	478	141
Canada	212391	"2,031"	970	"1,090"	528	784	544	33	0	22	10
Canada	327320	822	851	"1,187"	794	73	25	39	76	189	219
Canada	111320	0	0	8	0	0	2	0	46	8	0
Canada	316212	"1,811"	"1,289"	"1,275"	256	155	"1,215"	410	387	508	214
Canada	111310	0	63	0	0	0	0	0	0	2	0
Canada	112420	244	543	439	326	350	789	458	14	0	17
Canada	212113	0	11	0	0	4	0	937	168	18	6
Canada	111920	134	35	0	6	0	0	0	0	9	0
Canada	111160	2	0	0	0	0	2	0	0	0	0
Canada	339931	"3,386"	"2,202"	"2,826"	"2,771"	"7,750"	"5,139"	"2,164"	"1,845"	"1,376"	"1,545"
Canada	336414	0	0	0	0	0	0	"18,435"	0	0	0
Canada	321214	"26,918"	"39,462"	"71,029"	"76,265"	"69,848"	"74,825"	"95,631"	"114,946"	"111,413"	"109,502"
Canada	212222	853	163	53	229	"2,750"	"2,838"	"1,369"	"1,592"	318	0
Canada	111991	"2,603"	0	5	0	0	0	7	0	0	0
Canada	111992	0	10	0	0	2	0	3	0	0	0
Chile	331411	"375,819"	"175,607"	"390,184"	"583,381"	"454,332"	"431,678"	"670,392"	"991,765"	"1,752,139"	"4,002,718"
Chile	111332	"264,746"	"277,647"	"304,736"	"388,078"	"378,814"	"458,829"	"441,825"	"511,205"	"614,214"	"718,228"
Chile	112511	"34,743"	"202,386"	"208,629"	"302,746"	"301,870"	"304,155"	"380,119"	"369,048"	"439,605"	"550,046"
Chile	331419	"154,689"	"106,924"	"158,971"	"113,900"	"104,164"	"75,514"	"99,060"	"147,536"	"264,698"	"436,581"
Chile	111339	"106,096"	"125,928"	"155,079"	"172,294"	"177,305"	"220,437"	"217,099"	"219,888"	"252,137"	"243,045"
Chile	325188	"90,822"	"106,321"	"98,992"	"100,018"	"86,219"	"105,512"	"98,423"	"113,636"	"183,808"	"199,516"
Chile	114111	"243,331"	"130,851"	"124,297"	"147,408"	"149,885"	"164,260"	"224,617"	"234,265"	"248,276"	"321,721"
Chile	312130	"125,940"	"116,343"	"116,637"	"134,398"	"137,528"	"137,089"	"138,535"	"149,686"	"163,019"	"167,415"
Chile	321113	"97,341"	"99,606"	"150,784"	"146,945"	"136,879"	"175,600"	"183,733"	"285,084"	"281,931"	"327,246"
Chile	212299	"7,149"	"6,251"	"2,255"	454	553	873	"3,267"	"110,468"	"355,883"	"131,260"
Chile	321918	"106,218"	"116,745"	"157,756"	"140,469"	"175,723"	"192,514"	"176,674"	"301,517"	"269,880"	"332,058"
Chile	311421	"73,183"	"48,151"	"95,258"	"65,823"	"63,280"	"45,724"	"73,358"	"93,050"	"101,366"	"142,588"
Chile	111334	"5,129"	"5,213"	"7,902"	"9,714"	"15,233"	"21,530"	"26,169"	"46,074"	"57,114"	"78,621"
Chile	111150	"35,577"	"54,499"	"58,566"	"81,901"	"84,530"	"82,245"	"89,643"	"57,801"	"55,294"	"93,749"
Chile	331112	791	"4,075"	690	288	456	655	199	"3,945"	"22,316"	"45,009"
Chile	321219	"13,946"	"17,946"	"42,546"	"47,041"	"51,235"	"59,053"	"89,078"	"134,307"	"143,415"	"158,957"
Chile	321212	251	"3,256"	"13,881"	"11,641"	"23,798"	"35,059"	"49,338"	"68,171"	"81,986"	"96,241"
Chile	311411	"12,195"	"5,379"	"13,574"	"13,031"	"11,834"	"31,177"	"36,930"	"41,384"	"49,346"	"66,237"
Chile	980000	"33,980"	"62,640"	"80,515"	"79,808"	"96,125"	"127,962"	"47,872"	"44,428"	"46,038"	"96,847"
Chile	910000	"7,781"	"10,619"	"13,466"	"4,658"	"4,501"	"3,987"	"4,914"	"5,848"	"17,071"	"86,364"
Chile	111331	"14,386"	"17,140"	"28,666"	"22,552"	"33,297"	"40,436"	"57,631"	"86,949"	"40,576"	"75,765"
Chile	311711	"16,208"	"15,363"	"15,040"	"20,662"	"15,930"	"26,184"	"48,516"	"50,853"	"53,825"	"68,578"
Chile	212393	"22,756"	"16,621"	"20,779"	"19,543"	"37,340"	"24,735"	"38,509"	"31,248"	"49,723"	"27,936"
Chile	331421	"5,837"	"7,438"	"10,222"	"16,601"	"17,505"	"10,220"	"12,558"	"19,776"	"30,779"	"63,106"
Chile	321911	"9,328"	"10,489"	"14,369"	"21,045"	"31,750"	"39,388"	"37,948"	"50,344"	"44,307"	"51,126"
Chile	325199	"13,688"	"39,111"	"50,472"	"71,007"	"130,245"	"140,090"	"101,064"	"108,947"	"88,043"	"44,291"
Chile	326211	"13,242"	"16,772"	"26,947"	"34,258"	"25,901"	"26,484"	"32,523"	"48,474"	"49,887"	"47,726"
Chile	990000	"4,929"	"7,281"	"12,194"	"13,561"	"14,739"	"15,553"	"15,660"	"18,821"	"33,673"	"42,630"
Chile	311423	"12,689"	"13,136"	"16,274"	"18,921"	"14,921"	"18,815"	"20,205"	"18,945"	"32,933"	"33,035"
Chile	111219	"28,031"	"36,579"	"35,941"	"46,041"	"38,648"	"22,415"	"26,908"	"37,507"	"47,404"	"37,808"
Chile	111320	"4,643"	"3,563"	"5,684"	"4,171"	"3,493"	"4,984"	"8,857"	"11,160"	"18,665"	"24,501"
Chile	322110	"24,622"	"29,704"	"14,807"	"20,820"	"9,881"	"4,881"	"6,081"	"12,680"	"20,831"	"25,586"
Chile	325311	"18,503"	"17,770"	"18,316"	"16,254"	"14,336"	"10,815"	"13,836"	"12,855"	"16,217"	"16,776"
Chile	311221	0	0	0	0	30	61	0	4	0	31
Chile	114112	"17,301"	"18,053"	"17,638"	"24,544"	"14,240"	"12,612"	"12,236"	"15,852"	"17,793"	"17,291"
Chile	920000	"9,230"	"4,343"	"6,010"	"10,742"	"1,698"	"4,274"	"8,828"	"5,031"	"6,927"	"9,523"
Chile	212210	"4,114"	"1,232"	"1,297"	"2,624"	"17,365"	"6,745"	"6,513"	"6,382"	"10,663"	"13,967"
Chile	321213	"13,602"	"14,899"	"24,056"	"9,382"	"16,549"	"37,138"	"38,002"	"54,969"	"40,697"	"43,746"
Chile	311611	662	468	158	188	486	874	"1,370"	"2,494"	"3,150"	"4,553"
Chile	311999	"3,960"	"7,167"	"8,385"	"4,911"	"5,988"	"8,406"	"6,616"	"3,429"	"7,749"	"9,217"
Chile	327111	"7,316"	"8,121"	"10,240"	"11,422"	"13,650"	"12,872"	"13,236"	"14,193"	"17,838"	"17,979"
Chile	321999	"5,094"	"8,923"	"6,628"	"5,650"	"7,700"	"7,857"	"7,477"	"8,462"	"8,937"	"11,377"
Chile	311514	0	"2,512"	"3,351"	"3,599"	"4,663"	"4,491"	"1,165"	"2,659"	"3,996"	"6,474"
Chile	326199	463	"1,127"	"1,358"	"1,915"	"1,968"	"1,571"	"2,227"	"4,918"	"6,930"	"10,368"
Chile	337127	"22,656"	"22,733"	"25,235"	"25,143"	"23,644"	"25,649"	"31,315"	"35,324"	"37,608"	"25,690"
Chile	311920	"3,097"	"7,608"	"3,843"	"2,968"	"3,111"	"4,638"	"5,291"	"8,690"	"6,722"	"5,874"
Chile	333120	"1,162"	"1,260"	"1,805"	"3,965"	"2,478"	"1,486"	627	694	"2,301"	"3,924"
Chile	333618	535	"2,168"	"5,372"	"2,161"	"3,554"	"5,463"	"10,237"	"9,357"	"10,447"	"7,728"
Chile	337215	"13,611"	"16,876"	"20,284"	"27,292"	"20,851"	"25,078"	"18,979"	"23,765"	"18,543"	"15,064"
Chile	322224	0	23	0	0	0	0	399	"1,325"	"3,504"	"6,288"
Chile	325411	"5,811"	"6,849"	"6,843"	"7,020"	"6,132"	"5,603"	"6,456"	"6,716"	"5,854"	"6,706"
Chile	325320	571	941	889	819	"1,205"	702	"1,269"	907	997	"2,039"
Chile	322121	0	21	7	932	"2,091"	558	"1,359"	"1,158"	759	"2,142"
Chile	111422	"4,696"	"6,357"	"6,888"	"8,194"	"7,832"	"6,070"	"4,122"	"3,071"	"5,158"	"4,692"
Chile	336413	212	255	485	492	439	179	114	361	103	"1,175"
Chile	111110	"1,360"	"2,623"	774	251	428	448	311	406	"5,007"	750
Chile	311942	"11,393"	"12,326"	"10,863"	"13,275"	"10,696"	"10,586"	"11,122"	"11,846"	"7,323"	"11,405"
Chile	313210	"5,589"	"2,664"	"1,576"	"1,450"	"1,139"	768	549	765	"2,474"	"4,054"
Chile	331492	"1,614"	795	0	0	0	0	0	"7,347"	"1,792"	"17,014"
Chile	327999	2	3	9	22	0	56	"4,180"	"3,434"	"7,255"	"11,940"
Chile	112920	"1,067"	"2,165"	"4,923"	"5,589"	"5,885"	"3,488"	"3,893"	"3,026"	"4,056"	"2,496"
Chile	333415	0	1	29	67	"1,600"	"2,653"	"4,746"	"5,483"	"11,877"	"4,242"
Chile	111421	840	"1,203"	"2,066"	"2,060"	"2,346"	"2,595"	"3,195"	"3,768"	"4,493"	"5,596"
Chile	332439	"1,322"	"1,605"	"1,889"	388	240	462	"2,439"	"1,819"	"2,725"	"2,070"
Chile	336350	179	"4,349"	"4,754"	"2,398"	"1,646"	"2,177"	"5,705"	"6,893"	"5,963"	"3,819"
Chile	113210	996	942	810	820	747	"2,611"	"2,892"	"2,791"	"3,754"	"3,966"
Chile	335929	64	0	124	394	549	473	"1,558"	"2,083"	"1,580"	"2,196"
Chile	114119	"12,249"	"12,762"	"9,640"	"7,684"	"6,111"	"4,008"	"3,302"	"3,502"	"5,759"	"3,948"
Chile	31131X	0	0	0	0	54	115	33	38	22	754
Chile	321920	213	"1,685"	"1,602"	"5,141"	"4,899"	"2,419"	"2,332"	"6,322"	"4,241"	"4,871"
Chile	322223	898	"2,366"	"1,655"	"2,625"	"2,809"	"3,375"	"7,716"	"6,684"	"5,623"	"5,443"
Chile	331422	44	0	"2,468"	"1,160"	34	153	0	4	156	88
Chile	311223	38	15	109	94	157	164	212	428	555	"1,884"
Chile	334220	39	156	77	265	226	582	201	961	796	377
Chile	332431	15	29	21	8	64	28	489	775	"2,326"	"3,548"
Chile	111120	"1,501"	513	"2,647"	"2,596"	"1,000"	469	"1,511"	"1,122"	"3,509"	"2,290"
Chile	333131	949	848	417	129	52	971	"1,761"	"1,169"	"1,635"	"1,818"
Chile	333999	37	"1,536"	85	281	296	279	400	584	"1,574"	"1,843"
Chile	325312	"5,564"	"6,274"	"8,704"	"8,172"	"8,514"	"11,804"	"15,870"	"18,222"	"14,358"	678
Chile	311615	0	0	0	0	0	0	0	0	0	0
Chile	333414	0	0	0	4	4	0	0	4	29	61
Chile	333996	55	47	5	113	183	324	345	675	725	"1,026"
Chile	311320	"1,966"	"3,884"	"4,026"	"4,551"	"4,084"	"3,354"	"2,106"	"2,093"	"5,406"	"7,216"
Chile	333511	53	50	59	104	52	191	264	147	210	223
Chile	311823	"4,919"	"4,014"	"1,443"	"1,151"	"1,019"	"1,260"	"2,228"	"2,087"	"1,861"	"1,807"
Chile	326122	"1,790"	"1,354"	"2,079"	"2,043"	"2,479"	"3,568"	"3,134"	"4,191"	"4,588"	"3,605"
Chile	322213	2	2	0	0	3	0	0	11	3	0
Chile	111998	"3,969"	"5,775"	"3,014"	"2,070"	"1,503"	"1,059"	"1,288"	"1,183"	"1,816"	"1,157"
Chile	325998	287	"1,075"	"1,163"	"1,451"	"2,154"	"1,284"	"1,733"	723	"1,251"	"1,624"
Chile	323118	114	39	17	76	99	47	61	640	109	128
Chile	332420	0	0	39	403	147	0	36	644	554	806
Chile	315222	2	1	801	"2,723"	"6,382"	"3,506"	"7,384"	"11,502"	"13,697"	"17,527"
Chile	311340	"3,785"	"3,758"	"4,641"	"4,452"	"3,948"	"3,814"	"3,982"	"4,036"	"3,804"	"2,544"
Chile	332999	"5,163"	"3,698"	"4,762"	"5,000"	"16,293"	"15,773"	"8,427"	"3,550"	"2,254"	"3,022"
Chile	322122	0	0	0	0	634	"5,213"	"8,538"	"9,558"	"7,951"	"7,032"
Chile	111130	225	119	143	73	590	"1,431"	"1,041"	"1,264"	"2,875"	"3,984"
Chile	314911	0	0	0	0	12	62	656	"1,898"	"3,724"	"1,830"
Chile	326113	11	3	0	36	50	121	768	"3,742"	589	888
Chile	327211	0	0	0	0	0	18	875	477	889	"2,337"
Chile	332312	0	0	35	4	263	243	110	0	16	136
Chile	321211	"4,872"	"5,434"	"6,352"	"4,683"	"4,544"	"4,653"	"2,294"	352	399	513
Chile	325611	0	44	0	0	13	713	950	"1,203"	"2,051"	"1,635"
Chile	315224	"7,348"	0	2	595	"3,187"	"2,810"	"2,146"	"7,997"	"6,023"	"5,427"
Chile	321114	0	0	97	0	23	84	717	216	419	"3,684"
Chile	325620	37	89	476	722	777	928	949	736	861	"1,006"
Chile	33631X	191	424	597	"1,115"	920	814	904	767	"1,025"	"1,048"
Chile	333111	294	379	325	436	321	523	586	"1,128"	802	611
Chile	325192	"1,040"	869	934	445	"1,753"	"1,151"	250	138	"2,184"	577
Chile	337211	0	8	0	165	545	162	"1,042"	"1,814"	"1,447"	"1,728"
Chile	331222	"3,533"	"3,172"	"5,497"	"5,788"	"5,886"	"6,433"	"6,466"	"5,096"	"2,199"	"2,340"
Chile	333922	0	5	0	6	0	74	0	283	0	61
Chile	111335	515	531	"1,967"	585	679	301	529	"1,569"	"1,681"	34
Chile	333611	20	5	12	0	0	"1,146"	0	"1,260"	103	327
Chile	327113	"1,516"	"1,671"	669	971	"1,198"	"1,066"	"1,248"	"1,606"	"2,237"	"3,219"
Chile	332911	429	549	850	"1,262"	"1,013"	"1,659"	"4,263"	"5,568"	"4,750"	"3,302"
Chile	334516	11	22	36	32	18	35	46	76	129	212
Chile	331111	"7,546"	"13,323"	"10,987"	"13,683"	"1,749"	"19,881"	"14,121"	"10,785"	"13,643"	"7,863"
Chile	336399	"1,698"	"1,109"	193	"2,884"	"2,539"	198	441	"1,487"	"1,396"	627
Chile	333612	60	23	47	157	252	35	"1,180"	537	"1,512"	819
Chile	334418	67	146	80	84	456	335	171	60	622	"3,214"
Chile	336211	0	0	0	0	0	3	0	0	0	0
Chile	313249	0	0	3	12	29	139	210	521	523	655
Chile	323117	213	223	198	217	168	283	"1,504"	"1,047"	962	357
Chile	332913	8	20	45	0	0	34	7	42	52	27
Chile	333132	0	136	104	0	0	0	591	360	603	948
Chile	311513	0	0	0	5	0	43	248	794	"1,675"	"1,166"
Chile	325414	99	0	67	53	240	184	152	135	2	101
Chile	311230	0	0	24	0	7	0	0	0	120	520
Chile	323119	263	280	315	426	329	710	440	588	465	273
Chile	333992	95	177	236	149	170	499	566	"1,667"	"2,265"	113
Chile	313111	137	2	90	19	3	60	143	"1,359"	"1,698"	"1,334"
Chile	334210	9	14	0	344	6	243	169	161	241	271
Chile	322291	0	0	0	0	0	209	618	499	684	520
Chile	311911	55	46	0	0	7	0	0	0	0	188
Chile	327215	170	55	47	18	33	867	755	614	119	13
Chile	332321	0	3	0	50	33	0	0	6	79	34
Chile	335312	74	0	0	8	13	34	55	40	62	295
Chile	334513	20	95	16	24	71	25	144	22	73	149
Chile	326220	4	5	37	41	262	7	7	42	33	61
Chile	334515	90	41	17	39	156	8	138	50	164	127
Chile	339911	"1,283"	"1,269"	951	679	286	648	415	263	"1,907"	453
Chile	335999	3	0	39	30	66	16	51	23	60	8
Chile	314991	0	0	0	0	1	0	0	0	25	493
Chile	314999	127	1	5	6	34	18	118	67	50	151
Chile	325191	706	450	474	302	283	276	98	123	198	812
Chile	333995	34	20	49	48	52	23	72	188	347	253
Chile	336330	0	0	58	54	0	18	68	60	280	193
Chile	339999	397	383	370	"1,338"	473	584	653	554	371	376
Chile	212322	4	0	0	164	516	721	"1,083"	"1,272"	"1,314"	"1,029"
Chile	325212	0	0	18	0	0	71	74	47	0	0
Chile	333911	742	810	963	"1,530"	"1,362"	"1,030"	371	15	338	100
Chile	335224	0	0	0	0	0	0	0	0	8	0
Chile	333294	26	53	61	201	4	0	84	157	271	466
Chile	334119	238	45	185	654	398	488	"1,521"	"2,141"	657	835
Chile	333512	0	144	3	54	0	3	3	3	13	59
Chile	339992	297	234	281	264	108	100	147	138	211	117
Chile	332618	241	84	29	18	7	77	193	168	630	649
Chile	313312	12	127	97	137	0	78	114	420	97	100
Chile	332410	94	0	0	0	0	0	276	247	410	305
Chile	311930	0	0	0	0	0	26	0	81	"1,183"	139
Chile	336340	848	869	696	874	653	437	232	95	166	271
Chile	334112	99	8	6	53	39	"2,387"	114	85	39	71
Chile	311211	16	81	235	64	49	62	153	67	49	88
Chile	334417	168	163	144	179	181	129	107	72	69	179
Chile	339114	0	3	0	0	0	2	0	8	3	55
Chile	212392	0	0	0	0	0	12	84	113	159	166
Chile	322211	48	8	12	4	100	269	108	161	85	235
Chile	313221	11	0	0	1	144	84	213	67	302	341
Chile	311941	0	60	0	0	239	5	0	98	7	56
Chile	315291	"2,201"	"3,355"	"2,759"	"2,412"	"2,540"	"3,141"	243	232	295	336
Chile	336322	1	2	24	43	84	119	46	97	130	131
Chile	335313	2	0	0	15	0	2	0	25	7	22
Chile	315233	54	92	109	137	29	10	34	88	58	60
Chile	316110	317	545	719	628	667	696	612	"1,006"	860	460
Chile	112990	"1,049"	"5,057"	"3,698"	83	283	154	163	207	158	168
Chile	333412	0	0	0	2	3	0	0	0	73	10
Chile	316219	112	57	7	43	16	40	20	8	6	0
Chile	327213	0	4	0	16	109	168	30	80	109	22
Chile	334419	128	227	18	13	6	31	145	104	98	85
Chile	339914	26	36	9	14	11	6	11	25	57	178
Chile	333912	31	32	220	652	523	552	483	647	477	278
Chile	334111	17	21	2	12	144	48	213	23	119	87
Chile	332510	221	493	699	437	289	225	106	27	33	45
Chile	31181X	688	725	754	268	347	224	237	207	146	190
Chile	339932	414	484	459	411	468	347	349	126	36	125
Chile	327112	299	230	250	259	54	133	198	187	407	154
Chile	331316	0	0	7	0	0	0	0	0	0	48
Chile	315239	"1,615"	"1,536"	654	932	26	46	438	"3,126"	"1,911"	"1,398"
Chile	339913	119	72	172	842	6	50	149	118	219	21
Chile	326299	147	285	55	153	149	"1,048"	229	77	116	80
Chile	334519	0	0	33	30	76	20	28	47	150	81
Chile	325211	0	1	12	2	178	7	99	31	839	260
Chile	334413	4	2	140	69	76	34	23	14	113	216
Chile	111910	"8,678"	"7,704"	0	142	207	328	451	"1,150"	144	122
Chile	311119	77	0	0	23	275	"1,010"	230	236	"1,646"	639
Chile	332212	496	330	249	289	384	135	45	121	56	144
Chile	333220	5	13	0	4	50	"1,006"	22	161	287	242
Chile	334510	41	34	20	35	49	27	14	22	58	606
Chile	314129	21	3	54	788	219	438	498	501	220	178
Chile	334514	18	26	67	63	81	172	489	449	97	259
Chile	334310	5	15	20	25	2	14	100	207	65	62
Chile	322222	1	26	6	19	11	2	8	21	14	41
Chile	332214	11	7	12	18	21	338	119	89	87	239
Chile	335932	19	0	0	0	0	6	0	60	436	326
Chile	326160	0	42	0	0	3	10	50	14	106	0
Chile	331312	0	0	6	0	0	0	0	0	0	69
Chile	333993	303	6	463	0	0	19	93	62	43	7
Chile	333516	0	0	0	0	0	0	0	0	13	23
Chile	333293	9	2	18	107	61	25	52	45	94	22
Chile	325920	512	944	672	"1,473"	"1,247"	"2,044"	213	222	53	12
Chile	316214	"3,059"	"2,786"	174	191	31	6	22	16	24	11
Chile	336412	294	25	85	124	375	3	3	25	717	13
Chile	333291	149	0	74	192	462	5	258	638	3	38
Chile	332919	13	187	42	"1,723"	"3,627"	"2,438"	"2,035"	749	32	111
Chile	334511	24	0	231	0	50	17	244	92	63	567
Chile	322212	48	0	0	0	65	73	0	0	54	20
Chile	333613	18	9	39	35	4	6	6	20	10	24
Chile	311225	12	0	6	6	6	23	6	17	18	19
Chile	311520	5	0	846	"1,105"	69	0	246	356	374	129
Chile	332998	0	0	0	0	0	16	0	6	28	24
Chile	337121	0	25	316	53	22	20	2	2	5	261
Chile	333314	0	16	42	23	8	0	3	28	43	17
Chile	327991	8	69	31	20	12	6	19	30	249	337
Chile	112910	440	80	22	0	994	"4,009"	"11,890"	"2,042"	"1,394"	445
Chile	315234	"1,862"	"3,146"	"1,500"	52	71	48	44	466	411	106
Chile	315232	44	37	20	132	64	86	65	201	295	53
Chile	325412	20	39	212	108	263	862	467	0	214	168
Chile	336120	0	14	0	0	0	0	0	0	0	0
Chile	333319	0	0	5	0	0	20	0	0	6	56
Chile	335911	1	0	0	4	0	5	0	8	0	10
Chile	333315	36	82	8	88	98	32	146	198	85	25
Chile	113310	"1,634"	"1,068"	706	763	"1,154"	"1,210"	"1,029"	"2,265"	"2,262"	"8,856"
Chile	315999	6	0	13	2	103	8	78	23	20	27
Chile	333921	0	0	0	0	0	0	3	6	0	0
Chile	327212	25	4	99	20	68	31	47	19	77	18
Chile	332211	3	0	2	0	135	6	3	0	6	0
Chile	336612	36	50	"1,750"	50	0	11	0	0	0	2
Chile	112512	160	115	25	15	0	0	32	49	0	0
Chile	332997	0	0	22	0	0	0	0	0	0	25
Chile	332912	80	25	0	8	0	9	34	122	114	132
Chile	333210	49	154	264	27	85	0	89	119	95	84
Chile	335314	53	16	35	8	13	13	93	18	5	21
Chile	335129	9	6	3	24	4	28	47	19	5	148
Chile	212399	3	55	25	48	12	131	9	80	25	36
Chile	315231	11	9	1	20	40	332	21	24	49	26
Chile	337124	215	278	105	221	45	173	60	67	7	0
Chile	315223	2	3	1	7	63	7	12	31	69	17
Chile	311613	66	241	226	352	303	275	511	739	506	136
Chile	334412	4	0	0	0	24	0	0	55	0	14
Chile	334612	11	78	81	11	33	10	156	759	104	63
Chile	325132	724	308	26	88	46	69	69	40	62	33
Chile	333313	0	0	30	2	0	13	27	36	11	63
Chile	312111	30	32	30	48	73	105	67	59	38	16
Chile	336991	2	3	0	29	3	9	8	12	0	0
Chile	315221	0	0	0	0	10	18	2	23	61	14
Chile	312221	0	0	0	0	0	0	0	0	0	0
Chile	31511X	3	0	0	0	103	75	36	239	541	664
Chile	327122	45	13	34	0	35	69	42	4	250	579
Chile	333515	0	18	3	0	0	2	12	0	7	0
Chile	335228	0	0	0	37	15	21	7	7	12	9
Chile	332722	74	60	146	82	47	29	38	30	17	31
Chile	312120	11	94	330	24	35	90	8	0	0	0
Chile	325120	0	0	374	264	351	514	315	314	416	8
Chile	311213	0	0	0	0	0	0	16	0	0	0
Chile	315228	79	1	6	13	1	216	37	60	42	31
Chile	339113	71	7	41	2	31	10	21	3	15	224
Chile	339112	6	2	4	2	16	100	72	17	38	112
Chile	333411	13	0	0	19	0	159	86	200	270	18
Chile	316213	6	29	124	1	4	3	2	2	55	11
Chile	334517	0	0	22	0	10	3	0	10	13	0
Chile	332213	0	0	0	0	0	0	0	0	0	0
Chile	325181	0	0	0	0	0	0	0	0	0	0
Chile	311212	0	0	0	0	0	0	0	0	0	0
Chile	322299	13	2	3	0	0	3	32	0	219	965
Chile	333311	0	0	0	0	4	0	0	0	22	51
Chile	334414	0	0	3	27	0	0	0	0	0	0
Chile	314992	0	0	0	0	0	0	0	0	0	0
Chile	335221	54	9	42	0	4	52	77	17	36	0
Chile	212391	"1,102"	519	564	270	685	324	"1,102"	50	0	0
Chile	326212	0	0	0	0	0	0	4	0	10	"1,042"
Chile	325612	0	0	40	0	41	26	96	97	21	93
Chile	339991	10	10	7	47	10	53	14	12	117	93
Chile	316993	40	6	7	47	10	15	62	10	2	1
Chile	326121	0	0	0	0	0	0	10	4	0	1
Chile	333997	0	0	0	0	0	0	9	42	0	0
Chile	335110	"1,471"	"1,315"	929	2	18	0	0	0	126	2
Chile	326191	0	0	0	0	0	0	0	0	4	17
Chile	315991	1	1	2	0	0	1	8	6	8	7
Chile	339944	0	51	0	0	0	0	18	25	2	180
Chile	339942	"1,809"	"2,432"	711	793	947	666	974	406	461	217
Chile	334518	0	10	41	9	14	13	0	6	5	4
Chile	316992	24	22	7	8	7	16	7	7	25	8
Chile	325131	340	366	328	0	0	53	5	0	8	8
Chile	333994	0	0	0	0	0	0	0	0	15	14
Chile	333991	15	19	35	17	0	8	10	13	15	39
Chile	339994	0	0	4	0	140	0	18	2	0	0
Chile	323122	0	0	0	0	0	0	0	0	0	0
Chile	336360	0	0	0	0	0	0	0	0	0	0
Chile	316991	17	30	31	137	31	13	19	192	311	155
Chile	334290	6	0	4	0	0	10	0	42	0	0
Chile	314110	3	4	11	6	7	15	14	42	6	4
Chile	335222	0	0	0	147	69	348	576	"1,089"	172	44
Chile	333513	0	0	10	5	0	0	2	16	2	0
Chile	312140	26	34	0	29	66	27	77	29	3	0
Chile	325613	179	77	0	14	0	3	15	19	3	0
Chile	327910	6	0	0	0	0	18	0	32	27	131
Chile	336419	15	0	123	7	16	0	0	4	60	15
Chile	339941	0	8	24	167	137	74	59	37	26	5
Chile	336391	2	0	6	11	8	7	0	0	0	0
Chile	336321	0	0	0	0	0	0	0	49	6	0
Chile	333923	0	0	0	100	50	0	0	0	0	77
Chile	316999	8	0	2	5	0	8	12	35	49	1
Chile	339920	"1,057"	484	53	2	19	6	32	7	30	259
Chile	315993	0	0	0	0	0	0	0	0	1	2
Chile	315292	296	267	144	68	1	45	3	341	409	8
Chile	111199	17	20	47	0	0	5	0	3	46	0
Chile	111940	0	0	0	0	0	0	18	0	0	0
Chile	112410	169	203	16	10	0	0	0	0	0	0
Chile	511210	"1,807"	5	36	109	0	331	7	65	97	288
Chile	339993	8	6	0	2	4	0	74	0	0	0
Chile	339950	0	0	0	47	0	0	27	0	0	0
Chile	339943	0	0	0	0	0	0	0	0	0	3
Chile	339931	172	382	53	11	101	67	144	77	152	49
Chile	339912	16	6	17	27	0	22	114	30	33	6
Chile	339115	0	0	2	8	23	3	9	18	145	82
Chile	337920	0	0	1	0	0	0	0	0	0	0
Chile	337214	0	3	0	0	21	0	17	0	11	0
Chile	337110	0	0	0	29	0	0	39	108	105	33
Chile	336992	0	0	0	26	0	0	0	0	0	0
Chile	336611	96	0	0	0	0	0	0	0	0	0
Chile	336510	0	24	3	15	11	0	0	0	5	0
Chile	336411	0	0	0	0	0	"1,270"	0	0	0	0
Chile	336214	0	0	0	0	0	4	0	0	0	6
Chile	336212	0	0	0	5	0	0	0	0	0	0
Chile	336111	45	0	0	21	10	12	0	0	0	0
Chile	335991	28	3	3	0	0	0	10	5	0	0
Chile	335931	2	3	20	8	26	2	17	0	2	49
Chile	335921	0	0	0	9	0	0	0	0	0	0
Chile	335912	0	0	0	0	5	0	0	0	0	0
Chile	335311	2	0	0	3	0	0	0	0	11	85
Chile	335212	70	2	62	54	0	0	0	0	2	0
Chile	335211	0	0	0	13	0	58	0	0	5	18
Chile	335121	0	3	0	113	6	19	29	47	187	6
Chile	334613	0	20	0	45	37	0	112	31	94	7
Chile	334512	0	2	0	104	0	0	0	0	12	0
Chile	334416	2	3	4	0	0	0	15	0	2	16
Chile	334415	0	1	4	0	0	0	2	0	8	0
Chile	334411	0	0	14	3	0	0	25	17	0	0
Chile	333924	0	0	0	10	52	83	0	12	71	61
Chile	333913	2	0	0	0	0	0	0	5	5	0
Chile	333514	0	0	0	0	0	0	0	0	0	0
Chile	327331	0	0	0	0	3	0	0	0	0	0
Chile	327310	0	0	0	0	0	483	0	29	0	0
Chile	327125	0	0	39	0	6	0	0	0	0	0
Chile	327124	0	1	0	0	0	0	0	0	0	0
Chile	327123	0	0	0	18	0	18	80	0	0	0
Chile	326192	0	0	0	0	0	9	0	0	0	0
Chile	325992	0	0	9	328	158	0	74	0	144	201
Chile	325910	472	"1,154"	"1,250"	0	63	94	7	0	0	29
Chile	325510	0	0	0	46	3	16	9	78	78	20
Chile	333298	0	0	0	0	0	0	0	6	0	2
Chile	333295	0	3	14	0	17	0	0	18	0	0
Chile	333292	146	103	0	8	2	23	8	19	0	19
Chile	332995	0	2	0	0	0	0	0	0	0	0
Chile	332994	0	43	0	0	47	19	0	10	12	33
Chile	332992	0	6	188	0	19	0	0	0	0	0
Chile	332991	2	60	7	0	14	0	0	0	8	13
Chile	332611	0	0	6	0	0	0	0	7	0	0
Chile	332323	0	0	0	0	0	0	0	0	232	0
Chile	332322	0	0	0	0	0	0	0	0	42	19
Chile	332311	0	0	0	0	0	0	0	0	77	0
Chile	332115	0	0	0	0	0	0	30	0	0	0
Chile	331511	645	120	69	21	416	237	0	10	252	81
Chile	331491	"3,723"	"2,750"	926	"16,823"	"6,426"	394	185	"1,676"	404	11
Chile	331319	0	0	0	3	33	210	0	0	0	0
Chile	331315	2	0	3	4	11	32	840	"1,162"	512	0
Chile	327993	0	0	0	8	0	0	0	0	0	0
Chile	327992	0	0	0	0	0	0	2	0	0	0
Chile	327420	0	0	"9,006"	769	0	0	0	0	0	0
Chile	327390	0	0	0	0	0	256	4	106	186	25
Chile	325222	0	183	61	0	14	0	0	14	209	0
Chile	325221	273	5	0	0	0	0	0	0	0	0
Chile	325193	0	0	0	0	0	0	93	0	0	0
Chile	325182	0	0	0	0	0	0	0	0	105	0
Chile	325110	989	"1,972"	"4,242"	741	"2,608"	"2,546"	"7,607"	0	"5,555"	0
Chile	324122	0	0	0	0	17	0	0	13	0	0
Chile	324110	"8,881"	"17,619"	"13,766"	"75,425"	"103,742"	"65,072"	"99,694"	"109,942"	"328,738"	"224,571"
Chile	322233	9	0	16	0	0	91	12	0	0	0
Chile	325520	0	10	12	12	59	65	11	66	75	2
Chile	322232	0	0	0	0	0	6	0	4	3	0
Chile	322215	2	97	22	0	3	23	0	23	26	0
Chile	322214	0	0	0	0	0	0	8	2	21	23
Chile	322130	0	0	0	7	0	0	46	0	0	103
Chile	321992	13	10	0	0	0	0	3	12	0	26
Chile	316212	0	0	0	0	0	0	20	0	0	44
Chile	316211	37	0	0	0	0	14	11	0	0	0
Chile	314121	0	1	0	0	0	6	15	1	2	2
Chile	323116	0	0	0	0	11	2	0	38	0	0
Chile	313320	2	23	67	0	0	0	0	6	2	0
Chile	313230	0	0	0	0	6	0	0	0	1	1
Chile	313113	0	0	0	0	0	0	0	0	0	0
Chile	312229	0	0	0	0	0	0	0	7	0	0
Chile	312113	24	33	15	7	0	0	0	0	0	0
Chile	312112	0	2	0	0	9	0	6	0	0	0
Chile	311111	0	0	0	0	0	395	139	95	44	"2,790"
Chile	212325	0	0	0	0	0	0	2	0	0	0
Chile	315992	1	0	0	0	0	0	5	0	7	0
Chile	314912	0	0	0	1	0	0	40	0	0	1
Chile	212319	0	0	0	0	0	21	0	0	0	0
Chile	212311	25	30	5	0	0	0	0	5	0	0
Chile	212234	"54,246"	"124,126"	"35,544"	0	"20,913"	"81,796"	"10,246"	0	0	0
Chile	212221	0	0	0	0	0	0	0	3	0	0
Chile	212112	0	0	0	0	4	2	0	0	0	0
Chile	211112	259	248	"5,928"	0	"1,198"	271	"13,913"	"16,538"	"27,955"	"10,509"
Chile	211111	0	"2,999"	339	0	"2,724"	0	0	"10,240"	0	0
Chile	112930	17	10	16	10	0	6	10	17	16	0
Chile	311512	187	0	0	0	0	0	0	224	"1,021"	512
Chile	311511	4	0	3	0	0	2	0	0	23	0
Chile	311422	0	0	4	0	404	0	0	5	20	0
Chile	311222	0	0	102	0	4	14	9	0	48	59
Chile	112420	38	2	1	0	0	3	3	0	0	0
Chile	1123XX	0	0	0	0	0	0	0	0	6	0
Chile	111991	0	0	0	0	0	0	130	449	140	0
Chile	111411	0	0	0	0	0	40	3	0	0	0
Chile	111333	0	0	8	0	17	0	235	180	67	0
Chile	111310	0	0	0	0	0	0	0	0	0	28
Chile	111211	5	0	0	0	0	0	12	0	0	104
China	334111	"20,092"	"8,283"	"199,991"	"1,135,085"	"511,952"	"1,273,702"	"5,557,775"	"9,704,247"	"14,050,044"	"16,928,670"
China	339932	"4,010,598"	"4,335,169"	"4,645,579"	"5,511,063"	"5,377,755"	"7,085,332"	"8,327,384"	"8,874,847"	"10,133,435"	"11,272,246"
China	334119	"2,494,863"	"3,418,245"	"4,864,248"	"5,896,994"	"6,332,913"	"8,947,211"	"11,360,572"	"17,630,548"	"18,945,716"	"20,143,247"
China	334310	"3,446,844"	"4,263,645"	"4,680,385"	"6,181,080"	"6,265,973"	"8,761,729"	"9,821,677"	"12,342,653"	"15,202,248"	"18,775,822"
China	334220	"330,803"	"341,832"	"509,926"	"882,551"	"1,148,559"	"2,281,448"	"3,257,019"	"6,132,144"	"10,464,143"	"13,542,908"
China	334210	"1,115,257"	"1,396,903"	"1,678,671"	"1,888,265"	"1,796,525"	"2,038,912"	"2,236,499"	"2,607,287"	"3,335,101"	"4,156,480"
China	331111	"286,734"	"373,022"	"263,423"	"552,967"	"322,081"	"330,223"	"336,806"	"1,709,950"	"1,960,146"	"3,839,477"
China	337127	"856,867"	"1,224,246"	"1,827,588"	"2,550,215"	"2,869,092"	"4,005,542"	"4,688,463"	"5,570,297"	"6,492,383"	"7,210,404"
China	316214	"2,496,207"	"2,894,505"	"2,967,202"	"3,247,609"	"3,544,939"	"3,798,399"	"4,031,498"	"4,439,613"	"5,157,147"	"5,776,316"
China	326199	"1,308,183"	"1,340,901"	"1,626,210"	"1,894,933"	"2,050,809"	"2,479,554"	"2,808,385"	"3,437,983"	"4,292,965"	"4,854,693"
China	334418	"721,670"	"885,378"	"1,393,760"	"2,168,647"	"2,194,282"	"2,966,130"	"3,505,593"	"4,943,184"	"5,308,668"	"7,093,197"
China	335211	"1,345,065"	"1,510,554"	"1,932,207"	"2,277,270"	"2,582,836"	"2,931,654"	"3,315,332"	"4,021,346"	"4,500,988"	"5,112,525"
China	315239	"1,554,058"	"1,454,215"	"1,343,897"	"1,440,520"	"1,567,162"	"1,588,364"	"1,898,671"	"2,318,412"	"4,053,899"	"4,707,974"
China	339999	"2,211,116"	"2,665,733"	"3,088,836"	"3,432,433"	"3,631,525"	"3,875,779"	"4,109,844"	"4,479,400"	"4,593,217"	"4,734,072"
China	339920	"1,166,340"	"1,260,289"	"1,405,452"	"1,813,256"	"1,973,157"	"2,379,111"	"2,699,688"	"3,171,901"	"3,625,216"	"4,184,256"
China	316219	"2,442,791"	"2,672,825"	"2,924,396"	"3,163,530"	"3,192,697"	"3,485,052"	"3,537,699"	"3,692,656"	"3,977,647"	"4,175,857"
China	990000	"373,522"	"558,427"	"728,270"	"990,593"	"1,010,089"	"1,186,589"	"1,517,640"	"1,988,369"	"2,439,047"	"2,879,057"
China	325199	"266,663"	"283,898"	"328,768"	"405,702"	"448,251"	"507,602"	"690,508"	"953,297"	"1,452,891"	"1,743,872"
China	314129	"475,537"	"529,230"	"618,650"	"766,411"	"769,145"	"1,106,682"	"1,537,516"	"2,103,885"	"2,919,563"	"3,506,354"
China	315232	"1,122,018"	"1,048,974"	"1,237,581"	"1,203,193"	"1,307,945"	"1,333,032"	"1,459,114"	"1,748,032"	"2,534,697"	"3,148,123"
China	334419	"979,199"	"1,355,889"	"1,611,739"	"1,825,769"	"1,625,748"	"1,672,488"	"1,989,493"	"2,643,036"	"3,063,936"	"3,690,338"
China	316991	"1,012,137"	"988,006"	"1,018,279"	"1,099,020"	"1,101,657"	"1,518,107"	"1,813,485"	"2,230,449"	"2,521,504"	"2,955,195"
China	332999	"602,204"	"742,512"	"948,381"	"1,209,610"	"1,354,051"	"1,652,780"	"1,907,456"	"2,277,480"	"2,732,685"	"3,188,994"
China	334112	"816,753"	"951,555"	"893,391"	"1,208,887"	"1,328,656"	"1,699,548"	"1,723,748"	"2,127,341"	"2,401,981"	"2,935,439"
China	316213	"1,668,900"	"1,958,317"	"1,967,024"	"2,136,064"	"2,348,167"	"2,355,537"	"2,370,713"	"2,519,390"	"2,722,782"	"2,934,500"
China	335129	"857,051"	"1,056,356"	"1,438,656"	"1,643,141"	"1,423,354"	"1,660,446"	"1,667,002"	"1,928,755"	"2,287,800"	"2,458,738"
China	326211	"131,211"	"194,445"	"259,533"	"311,849"	"308,333"	"453,484"	"588,429"	"876,014"	"1,418,206"	"1,893,767"
China	336399	"106,988"	"136,276"	"178,860"	"278,668"	"381,978"	"536,118"	"714,062"	"1,099,148"	"1,543,912"	"2,160,821"
China	337215	"146,550"	"168,683"	"298,821"	"406,427"	"501,674"	"700,016"	"1,014,415"	"1,432,389"	"1,787,236"	"2,043,808"
China	315234	"576,369"	"571,244"	"530,515"	"598,406"	"586,123"	"557,047"	"645,266"	"916,552"	"2,083,473"	"2,416,712"
China	337124	"330,336"	"504,578"	"715,200"	"869,307"	"950,355"	"1,139,992"	"1,502,361"	"1,665,941"	"1,858,806"	"2,102,852"
China	335221	"243,453"	"284,251"	"375,794"	"484,500"	"638,520"	"769,655"	"1,065,339"	"1,536,448"	"1,748,953"	"2,020,271"
China	315231	"335,518"	"320,248"	"378,246"	"399,424"	"396,999"	"618,997"	"820,934"	"902,953"	"1,344,103"	"1,611,532"
China	335929	"381,980"	"460,687"	"546,590"	"647,375"	"596,999"	"691,518"	"762,523"	"1,018,891"	"1,185,817"	"1,637,668"
China	334413	"259,923"	"441,054"	"646,577"	"724,711"	"629,463"	"709,292"	"850,737"	"1,317,765"	"1,750,421"	"2,142,195"
China	315228	"694,072"	"588,161"	"555,022"	"617,971"	"589,520"	"512,274"	"557,545"	"613,319"	"1,367,723"	"1,621,242"
China	316992	"664,575"	"662,866"	"640,264"	"772,548"	"789,072"	"891,204"	"987,759"	"1,312,659"	"1,572,907"	"1,619,247"
China	333415	"58,991"	"114,348"	"191,865"	"233,702"	"304,100"	"544,081"	"937,170"	"1,093,086"	"1,366,029"	"1,739,915"
China	333313	"533,456"	"576,439"	"656,139"	"781,962"	"716,674"	"891,224"	"2,249,602"	"3,606,218"	"5,671,699"	"5,785,898"
China	315233	"398,609"	"404,358"	"436,441"	"405,834"	"414,739"	"422,614"	"470,789"	"522,043"	"675,150"	"962,750"
China	337121	"37,509"	"57,009"	"97,421"	"141,021"	"200,982"	"378,445"	"573,061"	"850,102"	"1,224,562"	"1,663,891"
China	332510	"190,572"	"240,253"	"296,926"	"372,667"	"421,967"	"532,389"	"639,165"	"898,563"	"1,108,227"	"1,463,095"
China	315223	"441,388"	"422,469"	"379,009"	"441,261"	"450,573"	"510,946"	"570,575"	"642,368"	"936,286"	"1,104,080"
China	335312	"239,049"	"261,552"	"296,452"	"354,195"	"363,555"	"466,239"	"566,152"	"689,439"	"966,772"	"1,312,735"
China	332911	"92,611"	"117,346"	"137,579"	"167,545"	"215,235"	"269,754"	"369,819"	"581,277"	"767,544"	"1,101,809"
China	333999	"168,488"	"186,198"	"224,003"	"258,992"	"289,584"	"392,391"	"512,512"	"706,090"	"873,562"	"1,012,308"
China	315999	"439,666"	"484,376"	"563,276"	"799,534"	"829,271"	"883,346"	"988,500"	"1,267,358"	"1,435,355"	"1,472,316"
China	314999	"330,036"	"381,449"	"502,225"	"581,803"	"665,093"	"717,698"	"901,278"	"1,088,989"	"1,292,504"	"1,420,483"
China	333991	"240,065"	"302,130"	"379,848"	"536,493"	"665,434"	"926,337"	"1,072,295"	"1,214,778"	"1,345,896"	"1,448,099"
China	335121	"668,994"	"785,425"	"949,614"	"1,183,944"	"1,134,624"	"1,402,727"	"1,478,405"	"1,692,683"	"1,778,531"	"1,933,504"
China	336991	"326,017"	"410,173"	"517,274"	"720,227"	"630,050"	"763,231"	"926,639"	"1,212,321"	"1,120,973"	"1,079,202"
China	114111	"137,423"	"165,797"	"216,532"	"283,087"	"268,251"	"374,151"	"450,835"	"590,279"	"810,764"	"1,086,705"
China	335999	"345,681"	"352,587"	"353,971"	"506,121"	"468,152"	"588,656"	"611,269"	"755,771"	"829,100"	"909,108"
China	315291	"89,590"	"96,086"	"102,634"	"117,768"	"116,175"	"474,009"	"861,591"	"1,099,157"	"1,253,667"	"1,393,167"
China	325411	"212,782"	"301,420"	"366,806"	"384,005"	"298,820"	"326,031"	"408,792"	"464,740"	"567,991"	"627,899"
China	339911	"102,184"	"134,822"	"203,612"	"318,622"	"405,322"	"593,896"	"785,413"	"951,769"	"1,112,282"	"1,301,840"
China	332212	"274,869"	"316,822"	"381,351"	"455,074"	"507,324"	"626,147"	"728,265"	"836,128"	"981,607"	"1,062,148"
China	339113	"103,253"	"114,531"	"127,883"	"154,264"	"219,882"	"324,853"	"432,745"	"522,366"	"700,281"	"856,853"
China	311421	"149,396"	"140,955"	"126,987"	"143,727"	"168,622"	"200,310"	"318,384"	"421,707"	"494,061"	"554,881"
China	339115	"247,972"	"295,816"	"328,692"	"387,842"	"448,497"	"524,828"	"555,615"	"655,560"	"771,012"	"986,950"
China	339914	"172,875"	"191,876"	"252,115"	"328,192"	"396,742"	"512,608"	"590,419"	"738,789"	"949,445"	"1,055,169"
China	334511	"18,006"	"15,941"	"24,834"	"35,130"	"47,192"	"78,562"	"118,460"	"123,729"	"219,743"	"440,934"
China	322223	"205,265"	"257,974"	"294,296"	"375,952"	"441,111"	"531,111"	"643,378"	"697,655"	"857,753"	"1,056,650"
China	335110	"93,574"	"112,781"	"129,931"	"165,727"	"408,855"	"320,282"	"346,977"	"459,107"	"492,673"	"676,309"
China	327112	"665,269"	"732,958"	"760,860"	"873,138"	"864,166"	"965,137"	"1,008,696"	"1,018,607"	"1,053,351"	"1,145,206"
China	980000	"202,292"	"269,464"	"294,727"	"312,007"	"366,547"	"380,209"	"478,335"	"598,369"	"714,284"	"809,379"
China	333319	"1,775"	"2,744"	"4,876"	"4,492"	"3,480"	"6,336"	"14,023"	"20,648"	"36,602"	"38,704"
China	321999	"392,916"	"471,289"	"542,582"	"633,942"	"654,871"	"757,372"	"797,141"	"845,712"	"908,961"	"943,874"
China	333911	"40,669"	"56,908"	"78,895"	"108,162"	"103,300"	"118,551"	"157,897"	"243,063"	"377,790"	"725,385"
China	335314	"183,797"	"163,560"	"179,649"	"246,425"	"247,617"	"260,172"	"295,631"	"420,852"	"623,496"	"801,952"
China	335911	"108,744"	"127,079"	"206,361"	"252,478"	"234,150"	"256,989"	"310,650"	"489,904"	"614,378"	"760,720"
China	334417	"273,577"	"277,338"	"320,402"	"474,625"	"368,053"	"366,730"	"409,996"	"525,369"	"629,378"	"777,322"
China	332722	"66,844"	"103,145"	"122,671"	"178,600"	"156,498"	"212,018"	"260,801"	"396,845"	"563,060"	"689,428"
China	323119	"40,780"	"49,492"	"71,955"	"108,195"	"135,427"	"203,112"	"264,031"	"371,963"	"491,470"	"600,355"
China	325188	"221,952"	"237,551"	"264,184"	"202,121"	"300,468"	"376,506"	"363,521"	"403,852"	"491,197"	"596,838"
China	332618	"129,359"	"157,498"	"197,715"	"199,213"	"187,477"	"220,006"	"266,910"	"400,741"	"524,654"	"660,414"
China	336340	"73,599"	"89,942"	"122,023"	"154,023"	"169,380"	"202,397"	"268,748"	"354,408"	"432,725"	"555,578"
China	315224	"269,841"	"285,574"	"302,225"	"315,737"	"282,409"	"271,486"	"339,313"	"461,573"	"633,114"	"731,736"
China	321211	"14,092"	"21,442"	"28,414"	"34,136"	"49,501"	"105,391"	"167,513"	"429,274"	"612,505"	"982,532"
China	333111	"32,943"	"36,141"	"41,839"	"57,736"	"56,522"	"115,006"	"229,062"	"253,959"	"287,895"	"394,920"
China	323117	"73,526"	"99,590"	"143,815"	"221,427"	"268,456"	"340,814"	"415,114"	"536,475"	"610,875"	"728,816"
China	333314	"148,906"	"182,445"	"194,434"	"266,299"	"282,015"	"252,371"	"400,826"	"561,598"	"527,804"	"584,643"
China	313210	"377,754"	"318,368"	"314,810"	"359,625"	"286,331"	"347,946"	"366,410"	"417,671"	"549,159"	"684,516"
China	327212	"166,992"	"164,626"	"203,536"	"276,223"	"366,541"	"468,152"	"485,838"	"552,794"	"618,026"	"691,082"
China	332913	"49,669"	"56,803"	"88,768"	"117,566"	"138,519"	"234,760"	"288,062"	"443,690"	"532,324"	"709,273"
China	315991	"179,797"	"220,161"	"234,485"	"248,752"	"254,044"	"369,024"	"486,132"	"557,595"	"670,348"	"757,620"
China	332312	"4,745"	"6,315"	"22,505"	"30,029"	"40,885"	"50,937"	"43,108"	"85,431"	"139,988"	"280,528"
China	339994	"164,638"	"173,563"	"263,100"	"250,688"	"298,128"	"335,060"	"362,820"	"429,708"	"515,721"	"570,040"
China	332211	"147,504"	"178,935"	"206,219"	"236,129"	"255,775"	"302,864"	"396,341"	"446,093"	"472,191"	"547,550"
China	336322	"67,594"	"132,985"	"177,357"	"198,068"	"181,131"	"220,404"	"244,483"	"344,514"	"449,743"	"536,648"
China	314121	"58,711"	"66,317"	"74,213"	"85,794"	"101,661"	"197,685"	"352,593"	"496,761"	"636,037"	"686,026"
China	332919	"44,500"	"56,991"	"70,990"	"87,748"	"107,126"	"118,680"	"128,304"	"206,380"	"301,957"	"437,461"
China	339912	"149,686"	"172,910"	"268,366"	"324,935"	"365,049"	"438,167"	"459,748"	"505,566"	"567,595"	"619,687"
China	334412	"149,771"	"168,029"	"178,072"	"312,962"	"257,576"	"271,892"	"317,633"	"372,562"	"478,314"	"678,880"
China	333120	"44,814"	"44,427"	"53,206"	"79,176"	"87,577"	"194,258"	"136,783"	"192,021"	"334,561"	"508,624"
China	315992	"313,840"	"288,898"	"250,984"	"279,971"	"283,795"	"301,715"	"369,761"	"445,999"	"497,449"	"533,761"
China	337920	"193,359"	"235,971"	"273,977"	"295,348"	"319,759"	"410,099"	"467,487"	"574,598"	"654,265"	"670,306"
China	334518	"445,578"	"512,525"	"553,910"	"604,169"	"563,811"	"578,615"	"627,539"	"711,007"	"640,296"	"662,460"
China	331222	"47,661"	"48,137"	"75,072"	"88,502"	"93,660"	"126,354"	"185,137"	"359,845"	"519,468"	"645,314"
China	331112	"58,905"	"60,459"	"50,373"	"65,343"	"37,380"	"49,186"	"88,437"	"269,179"	"350,965"	"280,054"
China	333618	"33,409"	"39,658"	"45,208"	"40,266"	"43,649"	"62,545"	"117,452"	"165,780"	"252,675"	"300,661"
China	316211	"548,756"	"293,545"	"365,950"	"424,472"	"424,518"	"362,180"	"318,093"	"354,614"	"406,159"	"480,439"
China	323118	"224,596"	"268,921"	"304,069"	"347,885"	"326,239"	"379,992"	"442,571"	"505,166"	"601,177"	"537,060"
China	316993	"264,736"	"312,287"	"336,505"	"376,922"	"365,600"	"383,224"	"389,931"	"449,592"	"493,233"	"496,298"
China	339992	"77,262"	"100,551"	"127,028"	"151,779"	"175,418"	"286,436"	"363,696"	"479,126"	"516,215"	"491,971"
China	333912	"39,665"	"50,904"	"76,674"	"91,049"	"94,759"	"128,127"	"198,196"	"286,848"	"354,177"	"467,374"
China	331419	"124,798"	"196,104"	"223,800"	"200,748"	"140,046"	"124,252"	"99,456"	"206,637"	"200,058"	"390,479"
China	326299	"109,751"	"114,767"	"129,671"	"169,642"	"191,651"	"230,561"	"273,166"	"311,869"	"370,676"	"425,982"
China	331421	"3,283"	"4,230"	"9,759"	"15,571"	"15,301"	"15,730"	"26,338"	"79,479"	"123,123"	"354,077"
China	327991	"25,124"	"32,299"	"50,468"	"69,875"	"89,937"	"118,327"	"162,507"	"260,777"	"377,008"	"486,355"
China	334513	"76,112"	"87,974"	"106,589"	"152,262"	"157,848"	"173,190"	"193,497"	"250,190"	"314,320"	"360,475"
China	315222	"84,072"	"75,679"	"79,726"	"88,480"	"67,486"	"77,159"	"98,140"	"101,468"	"297,160"	"393,590"
China	334515	"33,143"	"39,169"	"64,819"	"78,953"	"70,999"	"88,274"	"145,791"	"199,989"	"229,915"	"317,458"
China	315292	"695,277"	"643,685"	"703,164"	"1,270,471"	"1,347,773"	"1,176,935"	"1,189,575"	"1,092,859"	"959,314"	"848,075"
China	31511X	"3,565"	"4,874"	"4,494"	"4,795"	"9,387"	"33,746"	"104,381"	"253,298"	"232,078"	"279,028"
China	325620	"22,506"	"38,120"	"60,326"	"82,205"	"131,109"	"178,856"	"193,631"	"227,048"	"288,571"	"336,235"
China	335931	"84,208"	"104,840"	"117,342"	"143,187"	"118,875"	"162,391"	"184,994"	"268,098"	"329,084"	"385,696"
China	336360	"3,420"	"5,209"	"21,789"	"66,202"	"71,857"	"102,206"	"181,493"	"231,428"	"279,972"	"339,638"
China	322121	"3,975"	"4,038"	"5,236"	"10,115"	"21,701"	"62,405"	"123,255"	"166,714"	"237,963"	"409,649"
China	327215	"80,004"	"81,208"	"134,077"	"164,866"	"207,236"	"223,520"	"266,071"	"340,270"	"399,156"	"448,985"
China	327390	"232,435"	"262,159"	"338,814"	"493,678"	"505,421"	"552,263"	"526,481"	"522,958"	"519,833"	"508,411"
China	114112	"157,859"	"130,266"	"134,778"	"232,425"	"285,776"	"379,564"	"542,741"	"458,164"	"404,758"	"576,584"
China	334510	"87,020"	"67,490"	"88,298"	"62,510"	"59,363"	"75,441"	"72,599"	"91,044"	"126,664"	"229,791"
China	339941	"47,370"	"58,127"	"77,929"	"115,930"	"159,983"	"202,707"	"230,048"	"289,864"	"335,969"	"390,148"
China	334516	"7,858"	"9,647"	"24,257"	"64,425"	"143,891"	"140,305"	"143,593"	"183,299"	"245,111"	"253,942"
China	314912	"74,352"	"71,636"	"69,065"	"61,088"	"56,352"	"102,444"	"174,078"	"297,287"	"322,138"	"349,059"
China	324110	"134,257"	"147,597"	"148,723"	"373,147"	"237,188"	"190,216"	"283,352"	"227,647"	"325,194"	"381,086"
China	315221	"77,895"	"72,831"	"75,638"	"63,823"	"77,991"	"81,597"	"82,015"	"77,240"	"205,828"	"279,325"
China	211111	"109,024"	"60,382"	"10,655"	"105,605"	"78,743"	"57,183"	"62,241"	"98,954"	"218,753"	"278,302"
China	332991	"134,177"	"145,223"	"151,499"	"148,203"	"147,321"	"165,348"	"155,392"	"202,332"	"246,369"	"260,969"
China	314110	"171,319"	"196,807"	"194,715"	"218,552"	"217,711"	"255,705"	"280,396"	"287,105"	"304,294"	"347,324"
China	335222	"35,634"	"45,910"	"56,530"	"103,074"	"125,746"	"184,783"	"209,450"	"234,800"	"300,512"	"326,776"
China	327910	"89,961"	"103,679"	"71,060"	"92,608"	"84,233"	"99,620"	"101,834"	"151,254"	"216,461"	"250,674"
China	339112	"152,731"	"143,755"	"111,710"	"97,906"	"110,611"	"111,407"	"144,945"	"177,410"	"217,173"	"271,299"
China	335311	"121,169"	"121,892"	"143,581"	"162,212"	"132,827"	"141,813"	"160,099"	"199,970"	"233,205"	"271,139"
China	333414	"39,345"	"36,367"	"52,819"	"86,852"	"78,117"	"106,410"	"152,130"	"198,366"	"272,087"	"333,332"
China	334519	"22,131"	"29,486"	"39,746"	"62,319"	"86,125"	"135,223"	"167,062"	"198,506"	"207,224"	"251,239"
China	333132	"1,392"	"1,906"	"1,062"	"3,654"	"8,690"	"5,057"	"9,949"	"18,971"	"79,238"	"477,140"
China	920000	"131,331"	"150,012"	"162,896"	"176,332"	"170,910"	"177,150"	"173,303"	"177,335"	"284,065"	"289,017"
China	311711	"25,482"	"26,871"	"79,468"	"63,551"	"102,635"	"111,595"	"150,065"	"192,068"	"227,918"	"263,589"
China	334416	"149,891"	"179,209"	"219,773"	"408,416"	"217,935"	"178,917"	"219,712"	"312,254"	"334,124"	"351,396"
China	331511	"49,224"	"73,549"	"77,458"	"84,920"	"86,952"	"103,011"	"122,866"	"166,928"	"213,175"	"290,912"
China	339942	"51,400"	"71,662"	"74,480"	"87,226"	"109,338"	"138,452"	"183,520"	"193,765"	"210,227"	"254,250"
China	325211	"17,413"	"16,427"	"12,035"	"20,331"	"24,002"	"27,897"	"35,012"	"62,422"	"224,268"	"247,673"
China	325222	"10,487"	"13,298"	"18,294"	"22,654"	"17,806"	"29,666"	"41,712"	"57,808"	"165,245"	"217,248"
China	331316	586	"1,131"	"3,821"	"10,635"	"9,605"	"30,024"	"52,276"	"126,465"	"239,419"	"411,753"
China	325998	"127,023"	"150,659"	"175,617"	"175,632"	"180,955"	"190,030"	"222,763"	"237,181"	"294,579"	"321,058"
China	334290	"99,239"	"119,652"	"118,964"	"159,364"	"183,866"	"201,512"	"223,828"	"296,401"	"301,486"	"332,809"
China	336350	"17,394"	"17,508"	"25,958"	"39,347"	"52,555"	"64,568"	"74,841"	"118,677"	"213,625"	"288,530"
China	331315	"5,071"	"10,506"	"12,413"	"9,900"	"5,412"	"6,661"	"9,005"	"9,434"	"112,739"	"156,649"
China	33631X	"22,701"	"26,831"	"36,460"	"41,681"	"58,246"	"95,965"	"95,998"	"115,066"	"168,173"	"219,757"
China	337211	"17,327"	"43,221"	"55,254"	"70,621"	"43,812"	"91,461"	"137,801"	"159,652"	"242,665"	"308,422"
China	316999	"86,935"	"79,983"	"76,749"	"88,584"	"107,482"	"112,960"	"159,079"	"203,223"	"238,547"	"293,925"
China	327111	"2,796"	"8,149"	"14,376"	"18,829"	"29,048"	"60,835"	"93,437"	"112,668"	"160,700"	"227,503"
China	332410	"2,543"	"2,252"	"13,283"	"36,039"	"38,940"	"47,706"	"11,768"	"27,062"	"36,135"	"86,232"
China	337110	"5,670"	"5,716"	"7,056"	"11,403"	"16,339"	"37,689"	"55,766"	"89,039"	"144,522"	"194,514"
China	332998	"13,156"	"16,053"	"21,902"	"35,495"	"50,494"	"77,159"	"83,620"	"137,221"	"170,444"	"211,522"
China	333613	"36,480"	"37,031"	"36,779"	"42,271"	"41,684"	"51,958"	"66,212"	"110,128"	"139,591"	"184,532"
China	321213	"1,901"	"5,934"	"15,067"	"25,178"	"28,599"	"38,072"	"57,057"	"121,221"	"172,819"	"279,675"
China	322299	"62,490"	"64,626"	"77,941"	"108,444"	"89,584"	"115,280"	"131,894"	"168,284"	"193,247"	"203,489"
China	333924	"20,911"	"27,239"	"32,390"	"42,149"	"43,175"	"44,108"	"62,481"	"104,388"	"126,248"	"182,713"
China	322291	"1,984"	"1,528"	"3,787"	"4,915"	"9,197"	"12,123"	"27,560"	"54,010"	"73,130"	"115,521"
China	332214	"17,533"	"22,303"	"37,792"	"68,655"	"64,847"	"130,762"	"159,951"	"161,968"	"189,875"	"224,370"
China	325311	709	343	357	"4,507"	"21,495"	997	"53,013"	"45,546"	"12,991"	"40,371"
China	333315	"982,484"	"1,124,342"	"1,038,114"	"1,183,781"	"907,806"	"739,563"	"806,763"	"712,232"	"569,549"	"407,326"
China	332420	"5,113"	"26,580"	"25,010"	"29,419"	"45,464"	"40,719"	"106,609"	"73,269"	"175,328"	"205,444"
China	333612	"14,692"	"14,633"	"19,837"	"22,738"	"25,270"	"37,833"	"52,730"	"73,942"	"94,741"	"128,547"
China	333923	"10,199"	"50,494"	"54,703"	"17,100"	"21,140"	"66,324"	"75,234"	"88,356"	"129,973"	"153,753"
China	326192	"19,166"	"19,712"	"25,574"	"31,891"	"39,436"	"72,880"	"86,113"	"104,921"	"109,248"	"132,902"
China	333515	"28,289"	"33,017"	"47,614"	"61,127"	"54,241"	"70,701"	"79,932"	"97,711"	"131,125"	"144,619"
China	333412	"70,979"	"93,513"	"125,822"	"172,985"	"172,762"	"178,763"	"153,805"	"175,634"	"194,471"	"202,846"
China	333210	"32,212"	"35,235"	"49,129"	"46,390"	"69,336"	"101,674"	"168,701"	"251,900"	"254,706"	"286,344"
China	339913	"44,104"	"46,429"	"66,225"	"83,211"	"63,812"	"72,772"	"85,695"	"119,837"	"157,162"	"211,926"
China	326220	"27,131"	"10,024"	"11,506"	"14,047"	"19,741"	"38,782"	"58,831"	"78,833"	"114,546"	"173,322"
China	325611	"8,940"	"8,937"	"10,904"	"18,074"	"22,102"	"29,727"	"48,895"	"78,020"	"109,809"	"154,299"
China	321918	"7,015"	"15,798"	"32,706"	"43,929"	"52,610"	"74,429"	"117,183"	"222,338"	"309,061"	"302,234"
China	333511	"8,387"	"11,345"	"17,453"	"24,607"	"24,274"	"29,404"	"40,033"	"54,299"	"79,276"	"113,192"
China	335991	"9,804"	"12,154"	"9,253"	"11,302"	"11,982"	"13,533"	"23,804"	"34,363"	"44,210"	"47,248"
China	326113	"25,084"	"41,321"	"52,501"	"58,600"	"57,675"	"72,706"	"80,172"	"112,018"	"169,814"	"210,526"
China	327992	"35,297"	"48,558"	"52,456"	"64,444"	"54,534"	"61,933"	"73,135"	"95,860"	"112,388"	"92,753"
China	325132	"73,413"	"87,705"	"88,484"	"78,232"	"81,657"	"89,357"	"96,367"	"106,006"	"131,816"	"158,596"
China	335912	"34,069"	"47,036"	"88,255"	"81,042"	"82,509"	"108,526"	"151,845"	"167,557"	"176,029"	"189,727"
China	325412	"10,437"	"7,597"	"9,078"	"3,255"	"3,015"	"8,369"	"11,725"	"15,027"	"18,988"	"50,826"
China	325131	"47,667"	"41,004"	"50,879"	"65,259"	"62,791"	"76,828"	"93,373"	"133,508"	"198,543"	"227,261"
China	334512	"11,225"	"11,338"	"25,250"	"29,253"	"51,767"	"60,129"	"81,573"	"115,233"	"158,823"	"188,518"
China	333997	"47,155"	"45,784"	"65,910"	"82,432"	"87,159"	"117,931"	"142,875"	"157,787"	"163,020"	"188,125"
China	336412	"7,817"	"18,540"	"20,250"	"30,050"	"29,190"	"29,524"	"38,000"	"74,201"	"79,302"	"115,167"
China	336214	"27,399"	"29,417"	"34,735"	"547,673"	"77,129"	"79,384"	"104,570"	"134,457"	"185,017"	"192,250"
China	339991	"21,275"	"24,814"	"33,369"	"37,157"	"40,523"	"55,225"	"63,263"	"91,161"	"115,444"	"141,390"
China	325192	"70,762"	"48,359"	"51,028"	"53,016"	"45,644"	"53,099"	"50,634"	"83,222"	"96,430"	"109,569"
China	316212	"77,836"	"89,172"	"115,483"	"121,768"	"131,818"	"113,217"	"138,730"	"180,663"	"206,220"	"234,631"
China	336413	"35,536"	"39,662"	"25,590"	"33,165"	"58,508"	"53,163"	"60,927"	"78,310"	"83,364"	"129,251"
China	335224	"6,816"	"7,585"	"10,595"	"7,712"	"13,166"	"14,975"	"17,323"	"17,266"	"43,358"	"113,766"
China	335313	"10,597"	"19,376"	"16,692"	"28,521"	"25,761"	"27,858"	"46,499"	"79,214"	"91,604"	"128,331"
China	334517	318	"2,832"	"1,950"	"16,668"	"38,037"	"42,031"	"50,918"	"42,833"	"48,487"	"93,099"
China	331491	"19,163"	"21,911"	"32,202"	"23,935"	"32,778"	"22,392"	"18,958"	"33,411"	"60,950"	"85,961"
China	336321	"21,651"	"25,625"	"34,960"	"46,268"	"31,780"	"48,500"	"60,226"	"76,422"	"81,581"	"110,291"
China	322222	"7,522"	"7,230"	"13,817"	"22,097"	"27,901"	"34,650"	"47,089"	"63,436"	"98,656"	"143,334"
China	333996	"5,405"	"7,537"	"8,510"	"9,838"	"9,987"	"14,840"	"18,806"	"33,213"	"54,974"	"79,027"
China	333512	"61,280"	"65,998"	"69,182"	"80,869"	"74,601"	"68,943"	"69,113"	"94,660"	"115,749"	"138,792"
China	311611	"30,102"	"40,011"	"39,903"	"43,820"	"50,609"	"73,615"	"97,417"	"96,798"	"105,882"	"125,476"
China	321219	111	278	966	606	"2,064"	"1,127"	"2,732"	"13,383"	"56,022"	"106,350"
China	335228	"7,060"	"5,162"	"5,765"	"11,077"	"14,149"	"21,762"	"33,438"	"50,434"	"71,531"	"103,402"
China	311111	190	16	9	27	"1,053"	714	"1,906"	"9,593"	"43,319"	"80,578"
China	314911	"4,670"	"4,181"	"4,392"	"5,394"	"5,225"	"10,821"	"24,094"	"48,043"	"80,950"	"101,237"
China	327211	"15,331"	"24,557"	"36,628"	"55,264"	"75,536"	"69,125"	"61,056"	"65,576"	"96,270"	"141,997"
China	314991	"14,445"	"18,750"	"24,941"	"31,345"	"38,477"	"49,542"	"65,190"	"81,907"	"109,111"	"129,259"
China	327122	"1,323"	722	404	"1,707"	"6,150"	"12,994"	"19,868"	"40,282"	"80,863"	"136,361"
China	333611	"8,396"	"6,922"	"12,238"	"20,987"	"41,158"	"34,369"	"27,493"	"59,524"	"76,592"	"86,382"
China	313249	"13,969"	"12,384"	"6,384"	"7,654"	"5,879"	"41,121"	"51,930"	"58,629"	"141,372"	"123,347"
China	336510	"7,279"	"18,353"	"27,619"	"24,233"	"15,434"	"16,143"	"28,649"	"74,811"	"107,397"	"130,716"
China	336212	633	765	"3,111"	"6,079"	"7,263"	"9,740"	"15,479"	"91,587"	"241,265"	"329,374"
China	332321	"1,718"	"2,871"	"3,903"	"7,704"	"11,411"	"15,817"	"21,300"	"41,725"	"59,961"	"94,467"
China	212393	"109,472"	"84,953"	"54,131"	"90,552"	"105,046"	"79,303"	"86,010"	"101,508"	"147,861"	"155,103"
China	333131	"9,913"	"12,747"	"14,515"	"17,999"	"19,272"	"21,499"	"23,816"	"36,455"	"70,989"	"145,545"
China	333291	"3,531"	"7,772"	"4,965"	"5,416"	"10,072"	"4,648"	"9,367"	"16,486"	"33,210"	"57,358"
China	325181	113	122	517	735	968	"1,154"	"2,001"	"2,950"	"11,130"	"46,435"
China	311423	"20,270"	"26,373"	"30,420"	"27,782"	"25,175"	"40,024"	"53,447"	"81,595"	"80,080"	"110,000"
China	325320	"5,934"	"7,061"	"11,881"	"9,521"	"12,394"	"26,230"	"61,635"	"37,147"	"61,680"	"67,147"
China	334415	"10,969"	"7,044"	"5,109"	"16,570"	"17,772"	"22,057"	"20,855"	"38,074"	"46,274"	"115,117"
China	315993	"2,982"	"4,233"	"7,576"	"10,830"	"15,715"	"37,701"	"54,958"	"86,173"	"118,815"	"143,924"
China	332323	"2,658"	"4,228"	"8,096"	"15,419"	"22,401"	"28,787"	"38,095"	"51,605"	"88,466"	"133,982"
China	327213	"3,542"	"5,744"	"10,600"	"10,814"	"11,084"	"17,688"	"19,565"	"25,856"	"38,398"	"55,390"
China	333411	"16,783"	"24,800"	"25,951"	"38,062"	"63,774"	"85,044"	"112,291"	"199,585"	"185,939"	"169,278"
China	332439	"19,049"	"23,300"	"25,897"	"36,339"	"44,553"	"49,063"	"70,900"	"83,599"	"93,282"	"107,771"
China	327125	"13,929"	"13,301"	"13,332"	"14,770"	"17,104"	"25,254"	"33,815"	"40,594"	"55,466"	"76,163"
China	321920	"34,029"	"49,403"	"49,552"	"78,061"	"93,396"	"103,223"	"111,903"	"119,120"	"133,229"	"140,171"
China	339993	"53,003"	"49,566"	"66,159"	"55,224"	"63,254"	"65,859"	"71,258"	"84,481"	"100,274"	"123,577"
China	322213	"5,787"	"7,797"	"8,953"	"13,280"	"19,294"	"27,683"	"42,025"	"47,272"	"72,331"	"97,125"
China	311340	"10,705"	"11,899"	"16,503"	"26,504"	"26,784"	"46,248"	"54,004"	"67,289"	"86,870"	"101,336"
China	332213	"6,544"	"8,840"	"13,120"	"16,453"	"19,727"	"34,084"	"44,768"	"65,072"	"98,937"	"104,094"
China	326160	"18,735"	"20,814"	"20,073"	"21,358"	"22,027"	"27,236"	"39,785"	"60,611"	"80,552"	"88,159"
China	336111	"1,212"	"1,704"	"1,339"	"1,385"	"2,562"	"5,589"	"17,870"	"59,772"	"124,698"	"171,839"
China	333992	"4,442"	"4,821"	"6,075"	"10,185"	"11,214"	"13,442"	"19,875"	"38,537"	"67,581"	"89,527"
China	313221	"10,963"	"10,867"	"14,820"	"15,527"	"17,041"	"36,598"	"60,383"	"88,549"	"102,579"	"111,833"
China	311411	"14,921"	"15,001"	"19,291"	"16,099"	"19,302"	"38,705"	"38,331"	"43,841"	"56,050"	"78,809"
China	336330	"1,468"	"2,470"	"3,565"	"5,571"	"7,251"	"10,755"	"18,039"	"19,919"	"32,640"	"67,148"
China	337214	"8,123"	"14,628"	"21,724"	"36,852"	"34,496"	"41,760"	"46,562"	"72,194"	"86,369"	"103,673"
China	322211	"12,252"	"13,158"	"16,368"	"21,784"	"23,463"	"28,669"	"42,343"	"53,889"	"59,235"	"75,463"
China	333298	"1,277"	"2,244"	"3,888"	"3,728"	"4,834"	"17,892"	"21,191"	"32,757"	"74,964"	"111,974"
China	111219	"24,422"	"21,997"	"22,894"	"24,078"	"22,554"	"35,835"	"45,172"	"64,732"	"80,169"	"103,577"
China	313320	"3,415"	"2,864"	"3,557"	"8,788"	"7,753"	"19,066"	"33,249"	"68,662"	"99,417"	"91,896"
China	334613	"129,615"	"132,737"	"129,350"	"106,627"	"135,350"	"315,189"	"377,082"	"849,328"	"841,074"	"1,115,554"
China	322212	"13,521"	"19,120"	"23,051"	"30,100"	"25,829"	"27,633"	"35,137"	"40,412"	"48,362"	"66,457"
China	333295	"1,144"	478	594	915	"2,428"	"3,956"	"2,869"	"4,386"	"16,966"	"31,208"
China	325312	386	871	848	"1,662"	"2,648"	"6,173"	"7,091"	"6,746"	"9,468"	"10,928"
China	327310	"24,951"	"132,926"	"123,507"	"107,852"	"99,214"	"66,204"	"58,315"	"73,168"	"202,089"	"472,003"
China	311999	"13,677"	"14,843"	"24,163"	"22,152"	"27,958"	"41,742"	"37,313"	"38,932"	"43,900"	"65,013"
China	113210	"54,741"	"73,242"	"56,015"	"51,055"	"47,959"	"50,334"	"56,948"	"64,774"	"73,742"	"85,558"
China	321911	814	919	"1,092"	"1,641"	"3,036"	"7,735"	"13,873"	"32,584"	"58,964"	"101,404"
China	334414	"7,108"	"11,108"	"12,001"	"34,983"	"30,325"	"30,247"	"38,496"	"50,343"	"60,898"	"75,513"
China	314992	95	346	76	60	147	288	450	"8,771"	"24,987"	"32,340"
China	332994	"3,269"	"1,836"	"4,974"	"5,547"	"7,721"	"23,546"	"27,169"	"40,776"	"54,672"	"99,966"
China	333220	"1,563"	"2,799"	"7,791"	"5,357"	"5,107"	"7,813"	"18,730"	"31,697"	"43,792"	"46,321"
China	311942	"14,704"	"18,938"	"23,504"	"29,415"	"31,180"	"34,718"	"43,281"	"64,856"	"64,227"	"61,035"
China	325212	"5,374"	"6,946"	"11,330"	"8,863"	"98,458"	"109,803"	"104,593"	"152,498"	"176,573"	"61,823"
China	335921	952	"4,706"	"2,370"	"10,023"	"11,792"	"10,745"	"12,038"	"27,774"	"44,335"	"70,856"
China	339950	"5,593"	"9,124"	"12,976"	"19,195"	"22,980"	"31,273"	"55,988"	"55,285"	"64,637"	"78,647"
China	910000	"17,688"	"17,023"	"25,758"	"24,217"	"23,461"	"28,332"	"27,713"	"40,514"	"53,487"	"133,912"
China	327113	"25,396"	"33,126"	"39,908"	"49,337"	"44,268"	"38,583"	"46,565"	"53,848"	"58,585"	"77,549"
China	333921	697	"2,090"	"1,844"	"2,386"	"4,504"	"6,274"	"12,135"	"19,682"	"34,142"	"52,523"
China	311920	"33,458"	"40,687"	"36,160"	"33,270"	"33,466"	"35,323"	"44,810"	"45,552"	"56,129"	"69,489"
China	334514	"2,530"	"3,986"	"4,718"	"8,159"	"17,882"	"19,805"	"26,533"	"66,461"	"56,646"	"82,534"
China	212299	"24,508"	"19,741"	"16,808"	"24,455"	"25,031"	"18,872"	"18,326"	"36,456"	"34,841"	"38,286"
China	336612	727	"4,094"	"5,829"	"7,962"	"9,968"	"13,074"	"15,262"	"35,636"	"56,985"	"76,534"
China	337910	685	"1,067"	"1,052"	"1,766"	"5,011"	"7,819"	"17,574"	"25,534"	"51,872"	"106,582"
China	111335	"18,698"	"22,707"	"29,427"	"18,776"	"23,801"	"34,436"	"36,798"	"53,715"	"56,952"	"66,534"
China	313230	74	99	265	345	173	"2,387"	"5,607"	"15,606"	"36,817"	"47,316"
China	332912	"3,687"	"2,686"	"4,539"	"5,056"	"4,591"	"5,050"	"9,418"	"20,446"	"20,987"	"37,030"
China	333294	"2,914"	"2,509"	"4,120"	"8,403"	"7,703"	"9,880"	"12,566"	"22,507"	"23,304"	"31,624"
China	327999	"16,678"	"20,209"	"33,495"	"38,384"	"29,144"	"36,973"	"31,791"	"39,784"	"57,033"	"65,129"
China	336391	734	645	"3,077"	"3,447"	"3,452"	"5,853"	"11,819"	"18,798"	"25,203"	"36,719"
China	339114	"1,672"	"1,406"	"2,993"	"3,042"	"3,709"	"6,912"	"10,878"	"17,678"	"30,646"	"33,727"
China	321113	"1,548"	"1,472"	"2,644"	"4,683"	"3,436"	"5,036"	"7,399"	"15,303"	"39,451"	"101,582"
China	322215	549	"1,271"	722	"1,611"	"2,600"	"3,083"	"4,759"	"7,452"	"14,576"	"20,418"
China	333993	"5,406"	"5,335"	"13,833"	"30,183"	"36,331"	"39,239"	"50,979"	"55,401"	"62,199"	"57,769"
China	333513	"4,940"	"9,012"	"10,794"	"12,864"	"14,402"	"12,163"	"13,795"	"17,573"	"26,620"	"39,705"
China	311320	"49,398"	"33,212"	"21,121"	"17,265"	"11,105"	"10,010"	"12,515"	"22,311"	"42,338"	"48,278"
China	333922	"3,956"	"1,213"	"2,678"	"11,973"	"6,393"	"10,040"	"10,504"	"12,634"	"24,202"	"36,728"
China	111998	"35,943"	"41,831"	"37,745"	"31,454"	"29,448"	"35,762"	"44,228"	"51,303"	"48,459"	"53,248"
China	331312	"1,721"	"30,004"	"11,115"	750	"2,958"	"1,610"	"1,562"	"25,274"	"135,865"	"157,131"
China	326122	"3,431"	"3,749"	"5,220"	"5,351"	"6,587"	"9,406"	"15,789"	"22,836"	"39,900"	"48,042"
China	333995	431	"1,890"	"2,630"	"2,176"	"2,997"	"3,643"	"3,952"	"9,044"	"17,681"	"23,002"
China	325120	"2,701"	"3,886"	"3,832"	"1,946"	"3,275"	"2,296"	"5,389"	"8,510"	"14,970"	"13,556"
China	325520	"3,971"	"4,752"	"6,229"	"7,566"	"9,739"	"15,733"	"23,774"	"35,701"	"41,556"	"45,419"
China	335212	"119,092"	"108,416"	"105,886"	"195,734"	"357,931"	"457,854"	"558,114"	"635,006"	"825,136"	"799,644"
China	111110	207	"1,484"	578	505	918	"1,840"	"1,788"	"14,471"	"21,215"	"19,653"
China	322233	"8,478"	"22,632"	"25,901"	"25,344"	"35,828"	"29,997"	"42,810"	"42,426"	"54,454"	"53,732"
China	316110	"6,633"	"5,930"	"2,296"	"4,363"	"6,340"	"17,105"	"42,705"	"59,189"	"69,619"	"66,615"
China	333311	"5,147"	"4,222"	"8,217"	"5,873"	"5,128"	"12,847"	"10,197"	"31,969"	"34,226"	"40,134"
China	31181X	"5,371"	"5,306"	"9,001"	"9,439"	"12,718"	"15,905"	"19,941"	"22,073"	"29,699"	"39,288"
China	331422	"6,984"	"6,653"	"4,742"	"6,490"	"6,380"	"6,434"	"10,982"	"19,449"	"23,258"	"36,906"
China	332115	"2,622"	"3,513"	"3,498"	"5,898"	"5,403"	"6,147"	"6,897"	"14,433"	"22,066"	"33,580"
China	333516	978	431	635	680	627	750	"1,682"	797	"1,781"	"15,851"
China	332611	"4,010"	"4,816"	"6,086"	"8,200"	"9,399"	"13,297"	"15,204"	"22,442"	"40,595"	"46,628"
China	325191	"16,326"	"17,802"	"7,443"	"10,110"	"8,383"	"8,744"	"12,238"	"15,157"	"21,745"	"46,913"
China	112990	"4,159"	"2,459"	"4,119"	"6,037"	"6,058"	"11,895"	"9,081"	"14,295"	"24,174"	"29,812"
China	333293	"2,877"	"2,068"	"4,156"	"5,450"	"4,556"	"8,882"	"13,107"	"18,098"	"30,379"	"40,559"
China	327993	949	"1,359"	"10,397"	"3,881"	"6,587"	"7,133"	"11,650"	"16,573"	"40,289"	"51,012"
China	333514	"1,099"	"1,358"	"1,352"	"2,203"	"3,307"	"5,668"	"14,192"	"21,546"	"19,104"	"29,703"
China	333994	"1,486"	"1,098"	"1,571"	"2,963"	"4,362"	"2,559"	"2,703"	"7,545"	"25,369"	"14,288"
China	339943	"12,769"	"15,713"	"16,262"	"17,690"	"18,045"	"16,772"	"21,753"	"28,868"	"39,653"	"41,430"
China	339944	"16,893"	"10,196"	"17,301"	"17,865"	"24,668"	"24,027"	"23,810"	"29,896"	"33,415"	"33,833"
China	321212	155	124	292	300	"2,316"	"3,598"	"8,029"	"19,840"	"19,553"	"18,812"
China	114119	"12,788"	"12,627"	"16,054"	"14,412"	"14,214"	"17,104"	"18,306"	"19,776"	"20,433"	"27,137"
China	212399	"11,953"	"18,648"	"13,101"	"13,695"	"14,052"	"15,361"	"18,871"	"29,787"	"32,008"	"43,559"
China	325221	"1,453"	18	2	181	4	972	"2,164"	"3,655"	"9,478"	"18,172"
China	311613	"3,048"	"2,542"	"3,790"	"7,531"	"8,514"	"7,302"	"9,451"	"21,125"	"26,472"	"30,949"
China	325510	471	540	"1,305"	"1,679"	"2,793"	"3,630"	"5,584"	"8,648"	"10,357"	"16,305"
China	311823	"10,923"	"11,857"	"11,752"	"13,483"	"12,358"	"13,363"	"13,743"	"16,918"	"18,780"	"20,372"
China	335932	"1,396"	"1,507"	"1,844"	"3,519"	"3,962"	"5,063"	"4,870"	"7,677"	"8,936"	"10,739"
China	111130	"7,363"	"8,212"	"7,123"	"6,984"	"10,707"	"12,817"	"8,303"	"10,081"	"15,406"	"17,206"
China	313111	"11,190"	"6,445"	"9,201"	"9,917"	"7,051"	"5,109"	"7,502"	"12,326"	"17,409"	"28,819"
China	311911	"2,583"	"2,433"	"3,762"	"4,460"	"5,163"	"5,349"	"9,505"	"13,125"	"18,688"	"22,748"
China	311119	"9,782"	"7,954"	"8,624"	"17,918"	"19,354"	"23,189"	"29,759"	"31,760"	"43,433"	"56,043"
China	311222	273	53	204	236	925	324	532	"2,833"	"5,051"	"6,387"
China	325414	"1,059"	"1,387"	"1,798"	"1,611"	"2,535"	"2,169"	"4,122"	"8,592"	"13,096"	"17,727"
China	326191	"2,737"	"2,954"	"4,296"	"4,798"	"6,096"	"5,536"	"7,442"	"14,774"	"15,898"	"25,298"
China	326121	575	175	966	"1,634"	"3,994"	"4,744"	"5,297"	"6,476"	"13,806"	"19,056"
China	333292	"1,166"	"2,122"	"1,394"	"3,347"	"2,544"	"7,410"	"4,243"	"10,567"	"16,949"	"24,115"
China	325110	"7,629"	"6,835"	741	62	95	"5,060"	"1,280"	"1,071"	"4,761"	"4,606"
China	311941	"8,412"	"7,669"	"9,265"	"10,523"	"11,544"	"11,060"	"13,161"	"15,285"	"18,009"	"18,507"
China	311212	552	283	"9,344"	652	462	437	"18,401"	"20,525"	785	"36,455"
China	331319	"1,255"	"1,809"	"2,653"	"2,784"	"2,618"	"2,725"	"3,437"	"4,779"	"10,822"	"13,040"
China	325992	"13,012"	"9,368"	"9,098"	"28,742"	"12,023"	"11,305"	"47,722"	"191,277"	"183,662"	"77,633"
China	334411	"14,355"	"14,459"	"11,115"	"9,655"	"12,562"	"44,199"	"43,789"	"24,418"	"31,621"	"29,465"
China	336120	88	70	"1,461"	197	863	719	"1,474"	"1,358"	"1,234"	"2,644"
China	331492	"28,986"	"33,384"	"46,809"	"46,915"	"34,125"	"9,085"	"13,504"	"36,888"	"32,407"	"27,222"
China	327124	914	"1,882"	"1,974"	"1,771"	"1,501"	"1,835"	"4,524"	"6,648"	"11,270"	"12,727"
China	333913	668	599	838	666	"1,610"	"2,564"	"4,763"	"6,648"	"5,986"	"4,961"
China	322110	368	"1,475"	433	190	"2,393"	"2,307"	"1,187"	"1,874"	"3,725"	"5,890"
China	332311	42	277	278	714	"1,996"	"5,812"	"11,295"	"11,084"	"9,718"	"3,395"
China	111339	"1,949"	"2,348"	"3,881"	"5,502"	"5,181"	"5,273"	"6,756"	"3,370"	"7,011"	"15,141"
China	311514	"1,643"	"2,676"	"4,237"	"4,866"	"5,753"	"6,048"	"6,144"	"10,149"	"13,050"	"17,255"
China	312111	"1,797"	"1,947"	"1,584"	"3,917"	"5,425"	"4,171"	"7,269"	"13,417"	"9,726"	"11,574"
China	322224	"2,665"	"1,004"	716	"1,893"	"4,216"	"3,830"	"3,646"	"4,863"	"6,619"	"10,547"
China	311223	"7,095"	"7,686"	"5,412"	"8,639"	"4,972"	"9,601"	"8,475"	"7,946"	"9,726"	"10,363"
China	311221	"3,181"	"2,699"	"3,791"	"5,057"	"2,292"	"2,566"	"8,330"	"11,722"	"11,388"	"26,962"
China	311615	"1,693"	"1,402"	"2,358"	"3,686"	"3,474"	"8,320"	"6,188"	"7,889"	"10,176"	"12,220"
China	311211	"2,860"	"4,448"	"6,548"	"3,211"	"3,686"	"5,666"	"5,821"	"8,035"	"11,295"	"20,256"
China	321992	0	404	9	85	243	418	"1,647"	"1,412"	"3,360"	"15,388"
China	334612	"3,458"	"4,231"	"4,805"	"7,155"	"9,782"	"7,027"	"6,881"	"6,627"	"6,882"	"10,614"
China	331411	165	103	518	"2,449"	294	997	443	"1,318"	"3,496"	"7,021"
China	111120	167	235	550	839	"1,531"	"1,964"	"5,503"	"4,518"	"8,673"	"3,804"
China	322232	542	725	"1,593"	"1,173"	"1,008"	"1,186"	"2,840"	"5,601"	"8,025"	"9,463"
China	325612	"1,653"	"9,808"	"3,999"	"2,106"	"1,586"	"1,784"	"2,616"	"4,048"	"7,326"	"9,211"
China	212311	285	786	"1,859"	"2,796"	"4,733"	"4,630"	"6,633"	"7,908"	"10,119"	"15,641"
China	212113	204	256	520	"1,400"	"4,056"	"2,708"	"5,353"	"5,442"	"1,844"	"4,295"
China	332992	801	623	366	101	204	"1,584"	"1,812"	"4,032"	"6,664"	"9,503"
China	325613	400	301	402	893	984	"2,024"	"5,774"	"13,344"	"10,268"	"9,518"
China	332431	301	534	632	513	848	720	"7,271"	"8,499"	"5,125"	"3,311"
China	111910	"9,192"	"11,381"	"10,661"	"17,635"	"4,960"	"4,885"	"5,705"	"8,397"	"5,157"	"5,221"
China	313113	"3,808"	"4,026"	"4,574"	"3,612"	"3,214"	"4,202"	"3,644"	"3,850"	"11,010"	"9,786"
China	322122	131	121	24	181	"1,845"	"1,030"	"4,603"	"4,325"	"3,022"	"2,610"
China	211112	"28,665"	"26,244"	"8,658"	"18,804"	"10,413"	"7,844"	"4,496"	"5,222"	"23,493"	"13,994"
China	111421	"1,130"	"1,664"	"1,387"	"2,028"	"4,074"	"7,997"	"8,399"	"7,391"	"11,023"	"11,555"
China	331311	"10,954"	"7,493"	"7,136"	"7,273"	"4,050"	"5,376"	"4,722"	740	"1,282"	"1,789"
China	325910	771	"2,297"	"1,413"	"1,916"	"3,366"	"5,328"	"6,745"	"8,130"	"5,758"	"4,497"
China	332322	70	577	214	"1,763"	"1,487"	"1,042"	"1,914"	"1,517"	"2,538"	"7,798"
China	326112	40	20	0	0	67	69	28	173	207	508
China	312120	"5,840"	"5,646"	"5,899"	"5,283"	"5,953"	"6,730"	"5,877"	"5,832"	"6,370"	"6,584"
China	112910	"18,504"	"16,660"	"21,133"	"22,328"	"15,684"	"7,743"	"33,141"	"30,335"	"21,501"	"24,893"
China	111411	901	973	"1,004"	"1,054"	"1,470"	"1,463"	"2,221"	"2,607"	"3,640"	"4,081"
China	336370	734	457	841	604	697	"1,399"	"1,564"	"1,798"	"3,838"	"3,857"
China	313312	162	175	129	247	462	383	670	"1,088"	"2,837"	"7,431"
China	312140	"1,163"	"1,496"	"1,288"	"1,983"	"1,842"	"2,053"	"2,186"	"2,720"	"2,369"	"4,615"
China	311225	27	355	53	153	77	101	435	709	827	"1,346"
China	212325	585	520	907	"1,273"	603	767	"1,194"	"1,180"	786	"1,720"
China	311930	"1,286"	"3,840"	"2,015"	415	190	170	423	"1,030"	"1,317"	"2,234"
China	212322	446	245	"1,177"	"5,328"	"5,615"	"4,170"	"2,449"	"1,479"	"7,588"	"12,442"
China	113310	199	280	252	226	200	704	"1,565"	"1,933"	"1,973"	"6,134"
China	336611	423	"1,648"	"1,059"	"1,186"	"26,578"	"1,142"	"5,301"	934	"6,471"	"6,057"
China	332997	27	251	127	37	318	132	265	122	158	895
China	311230	713	"1,640"	447	421	287	195	354	378	240	400
China	111422	563	324	420	526	"1,345"	549	"1,103"	"1,442"	932	"1,420"
China	327420	185	35	"3,909"	"4,413"	948	287	386	257	235	"28,133"
China	212319	143	160	223	388	632	"1,029"	960	703	"1,711"	968
China	31131X	"1,659"	"1,514"	"1,342"	278	419	"1,234"	"1,891"	"2,852"	"2,089"	"4,012"
China	511210	808	"1,914"	"1,515"	"1,991"	"6,415"	"3,589"	"4,529"	"3,921"	"8,162"	"10,444"
China	336419	254	260	45	143	238	464	534	726	573	"3,222"
China	337129	19	34	101	65	157	109	435	398	314	"1,429"
China	322214	307	137	121	559	137	161	889	"2,112"	"2,239"	"1,424"
China	112420	"14,652"	"10,141"	"5,897"	"5,387"	"3,061"	"1,886"	"1,369"	975	"2,169"	"1,959"
China	312130	674	743	776	881	"1,046"	"1,188"	"1,199"	"1,619"	"1,212"	"1,169"
China	327121	7	8	6	12	38	66	383	550	976	"1,079"
China	112511	980	746	501	437	499	555	"1,021"	"1,221"	"1,288"	"1,600"
China	336211	4	12	23	13	7	122	7	39	144	228
China	111199	149	93	84	205	760	331	372	573	556	895
China	325182	25	5	60	79	"7,493"	"5,796"	"15,046"	"9,515"	"3,729"	"2,389"
China	323122	3	15	114	326	226	308	338	445	508	687
China	327331	95	0	10	224	347	161	199	172	158	311
China	324121	29	0	0	0	261	111	632	378	323	438
China	323116	31	12	3	10	15	51	38	360	266	147
China	327123	247	216	285	212	141	270	296	526	349	377
China	311919	99	34	109	359	343	160	300	699	307	632
China	311822	22	50	112	96	78	89	112	107	17	789
China	331314	0	0	21	51	111	194	234	0	111	"1,255"
China	324122	0	0	0	0	0	0	4	28	134	845
China	311422	300	245	164	143	117	256	499	688	995	726
China	326212	"1,169"	"1,713"	"2,486"	"1,242"	449	"1,721"	"3,214"	"1,912"	743	"2,754"
China	325920	"7,429"	"3,481"	"2,544"	109	"2,472"	"5,625"	"4,576"	"5,885"	"2,136"	"1,857"
China	336415	0	0	5	33	0	7	95	42	0	0
China	212391	0	0	70	96	42	114	42	11	216	113
China	212210	"1,447"	0	0	0	0	0	0	0	2	0
China	321114	0	19	0	0	14	10	0	"1,609"	928	326
China	336411	465	300	"1,383"	666	164	466	341	407	94	527
China	311520	0	0	0	0	0	0	0	0	82	7
China	111150	7	12	7	5	0	84	69	120	65	243
China	312221	235	331	973	"1,540"	"15,567"	"18,828"	"9,444"	"8,283"	"3,770"	446
China	111333	0	18	6	0	0	6	0	68	32	283
China	112930	15	23	9	52	4	107	85	42	53	56
China	111920	0	0	"23,853"	0	1	17	"1,783"	970	"1,092"	172
China	212392	9	53	19	49	13	0	36	38	4	69
China	327410	64	577	59	68	83	97	130	53	78	297
China	312112	0	0	70	5	4	4	35	14	8	93
China	112920	75	2	0	8	8	0	0	0	2	55
China	111160	0	0	0	0	0	0	0	0	0	0
China	111930	0	303	112	0	0	0	7	0	5	7
China	322130	0	0	0	3	0	0	0	0	0	"1,989"
China	111991	0	0	22	0	0	0	0	8	38	0
China	212324	480	69	221	57	82	68	28	5	2	4
China	311511	0	0	0	0	0	4	13	27	156	38
China	311213	0	0	0	0	0	0	6	0	7	38
China	112410	0	0	0	0	0	0	0	0	0	0
China	111140	0	0	0	0	0	0	0	3	0	5
China	1123XX	"2,725"	71	63	368	454	372	258	278	243	0
China	325193	20	0	6	798	"2,982"	0	0	0	5	"82,212"
China	321991	0	0	0	0	0	0	0	21	33	64
China	321214	0	18	0	0	0	0	0	0	0	0
China	312113	2	6	0	41	0	3	5	26	0	5
China	311513	0	0	0	0	34	0	38	0	28	4
China	311512	0	0	0	0	0	0	0	0	0	0
China	212291	62	0	0	0	0	0	0	0	0	42
China	212234	0	0	0	0	0	0	0	0	0	3
China	212231	0	0	0	0	0	4	0	0	0	0
China	212222	0	0	0	0	0	0	0	0	0	0
China	212112	15	6	539	22	"1,411"	848	"2,035"	"2,765"	32	8
China	112512	0	14	0	0	0	40	14	0	14	0
China	339931	"3,480,453"	"3,974,090"	"3,875,311"	"3,721,799"	"3,365,110"	"3,343,499"	"3,333,208"	"3,178,830"	"3,306,335"	"3,320,584"
China	336992	0	0	0	0	0	31	20	0	16	0
China	336213	6	0	0	0	0	0	0	0	0	0
China	332995	0	0	0	0	0	6	7	0	0	0
China	312229	0	0	0	384	0	0	0	0	36	0
China	111992	0	2	0	0	0	0	0	0	0	0
China	111940	16	0	0	0	0	0	0	47	54	44
China	111334	12	0	32	0	34	55	6	60	450	30
China	111211	10	0	0	0	0	0	0	0	0	19
China	111310	0	14	0	19	0	14	0	13	0	3
China	111320	47	23	0	14	9	0	0	25	0	16
China	111331	0	0	0	0	0	40	67	29	57	81