Build failed in Jenkins: Mesos-Buildbot » autotools,gcc,--verbose --disable-libtool-wrappers --enable-libevent --enable-ssl,GLOG_v=1 MESOS_VERBOSE=1,centos:7,(ubuntu)&&(!ubuntu-us1)&&(!ubuntu-eu2)&&(!qnode3)&&(!H23) #4541\nSubject Build failed in Jenkins: Mesos-Buildbot » autotools,gcc,--verbose --disable-libtool-wrappers --enable-libevent --enable-ssl,GLOG_v=1 MESOS_VERBOSE=1,centos:7,(ubuntu)&&(!ubuntu-us1)&&(!ubuntu-eu2)&&(!qnode3)&&(!H23) #4541\nDate Tue, 05 Dec 2017 18:47:36 GMT\n[...truncated 406.85 KB...]\n/bin/sh ../libtool  --tag=CXX   --mode=compile g++ -DHAVE_CONFIG_H -I. -I..    -pthread -DHAVE_PTHREAD=1 -DHAVE_ZLIB=1 -Wall -Wno-sign-compare  -g1 -O0 -Wno-unused-local-typedefs -std=c++11 -MT google/protobuf/compiler/objectivec/objectivec_primitive_field.lo -MD -MP -MF $depbase.Tpo -c -o google/protobuf/compiler/objectivec/objectivec_primitive_field.lo google/protobuf/compiler/objectivec/objectivec_primitive_field.cc &&\_\n/bin/sh ../libtool  --tag=CXX   --mode=compile g++ 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-I../../../3rdparty/libprocess/include -isystem ../boost-1.53.0 -isystem ../concurrentqueue-7b69a8f -I../elfio-3.2 -I../glog-0.3.3/src -I../http-parser-2.6.2 -DPICOJSON_USE_INT64 -D__STDC_FORMAT_MACROS -I../picojson-1.3.0 -I../protobuf-3.5.0/src -I../../../3rdparty/libprocess/../stout/include -isystem /usr/include/subversion-1 -isystem /usr/include/apr-1 -isystem /usr/include/apr-1.0 -Wall -Wsign-compare -Wformat-security -fstack-protector-strong -fPIC -g1 -O0 -Wno-unused-local-typedefs -std=c++11 -MT libprocess_la-help.lo -MD -MP -MF .deps/libprocess_la-help.Tpo -c ../../../3rdparty/libprocess/src/help.cpp  -fPIC -DPIC -o .libs/libprocess_la-help.o\nlibtool: compile:  g++ -DPACKAGE_NAME=\_"mesos\_" -DPACKAGE_TARNAME=\_"mesos\_" -DPACKAGE_VERSION=\_"1.5.0\_" "-DPACKAGE_STRING=\_"mesos 1.5.0\_"" -DPACKAGE_BUGREPORT=\_"\_" -DPACKAGE_URL=\_"\_" -DPACKAGE=\_"mesos\_" -DVERSION=\_"1.5.0\_" -DSTDC_HEADERS=1 -DHAVE_SYS_TYPES_H=1 -DHAVE_SYS_STAT_H=1 -DHAVE_STDLIB_H=1 -DHAVE_STRING_H=1 -DHAVE_MEMORY_H=1 -DHAVE_STRINGS_H=1 -DHAVE_INTTYPES_H=1 -DHAVE_STDINT_H=1 -DHAVE_UNISTD_H=1 -DHAVE_DLFCN_H=1 -DLT_OBJDIR=\_".libs/\_" -DHAVE_CXX11=1 -DHAVE_PTHREAD_PRIO_INHERIT=1 -DHAVE_PTHREAD=1 -DHAVE_FTS_H=1 -DHAVE_APR_POOLS_H=1 -DHAVE_LIBAPR_1=1 -DHAVE_LIBCURL=1 -DMESOS_HAS_JAVA=1 -DHAVE_EVENT2_EVENT_H=1 -DHAVE_LIBEVENT=1 -DHAVE_EVENT2_THREAD_H=1 -DHAVE_LIBEVENT_PTHREADS=1 -DHAVE_LIBSASL2=1 -DHAVE_OPENSSL_SSL_H=1 -DHAVE_EVENT2_BUFFEREVENT_SSL_H=1 -DHAVE_LIBEVENT_OPENSSL=1 -DUSE_SSL_SOCKET=1 -DHAVE_SVN_VERSION_H=1 -DHAVE_LIBSVN_SUBR_1=1 -DHAVE_SVN_DELTA_H=1 -DHAVE_LIBSVN_DELTA_1=1 -DHAVE_ZLIB_H=1 -DHAVE_LIBZ=1 -DHAVE_PYTHON=\_"2.7\_" -DMESOS_HAS_PYTHON=1 -I. -I../../../3rdparty/libprocess -DBUILD_DIR=\_"/mesos/mesos-1.5.0/_build/3rdparty/libprocess\_" -I../../../3rdparty/libprocess/include -isystem ../boost-1.53.0 -isystem ../concurrentqueue-7b69a8f -I../elfio-3.2 -I../glog-0.3.3/src -I../http-parser-2.6.2 -DPICOJSON_USE_INT64 -D__STDC_FORMAT_MACROS -I../picojson-1.3.0 -I../protobuf-3.5.0/src -I../../../3rdparty/libprocess/../stout/include -isystem /usr/include/subversion-1 -isystem /usr/include/apr-1 -isystem /usr/include/apr-1.0 -Wall -Wsign-compare -Wformat-security -fstack-protector-strong -fPIC -g1 -O0 -Wno-unused-local-typedefs -std=c++11 -MT libprocess_la-authenticator_manager.lo -MD -MP -MF .deps/libprocess_la-authenticator_manager.Tpo -c ../../../3rdparty/libprocess/src/authenticator_manager.cpp  -fPIC -DPIC -o .libs/libprocess_la-authenticator_manager.o\nlibtool: compile:  g++ -DPACKAGE_NAME=\_"mesos\_" -DPACKAGE_TARNAME=\_"mesos\_" -DPACKAGE_VERSION=\_"1.5.0\_" "-DPACKAGE_STRING=\_"mesos 1.5.0\_"" -DPACKAGE_BUGREPORT=\_"\_" -DPACKAGE_URL=\_"\_" -DPACKAGE=\_"mesos\_" -DVERSION=\_"1.5.0\_" -DSTDC_HEADERS=1 -DHAVE_SYS_TYPES_H=1 -DHAVE_SYS_STAT_H=1 -DHAVE_STDLIB_H=1 -DHAVE_STRING_H=1 -DHAVE_MEMORY_H=1 -DHAVE_STRINGS_H=1 -DHAVE_INTTYPES_H=1 -DHAVE_STDINT_H=1 -DHAVE_UNISTD_H=1 -DHAVE_DLFCN_H=1 -DLT_OBJDIR=\_".libs/\_" -DHAVE_CXX11=1 -DHAVE_PTHREAD_PRIO_INHERIT=1 -DHAVE_PTHREAD=1 -DHAVE_FTS_H=1 -DHAVE_APR_POOLS_H=1 -DHAVE_LIBAPR_1=1 -DHAVE_LIBCURL=1 -DMESOS_HAS_JAVA=1 -DHAVE_EVENT2_EVENT_H=1 -DHAVE_LIBEVENT=1 -DHAVE_EVENT2_THREAD_H=1 -DHAVE_LIBEVENT_PTHREADS=1 -DHAVE_LIBSASL2=1 -DHAVE_OPENSSL_SSL_H=1 -DHAVE_EVENT2_BUFFEREVENT_SSL_H=1 -DHAVE_LIBEVENT_OPENSSL=1 -DUSE_SSL_SOCKET=1 -DHAVE_SVN_VERSION_H=1 -DHAVE_LIBSVN_SUBR_1=1 -DHAVE_SVN_DELTA_H=1 -DHAVE_LIBSVN_DELTA_1=1 -DHAVE_ZLIB_H=1 -DHAVE_LIBZ=1 -DHAVE_PYTHON=\_"2.7\_" -DMESOS_HAS_PYTHON=1 -I. -I../../../3rdparty/libprocess -DBUILD_DIR=\_"/mesos/mesos-1.5.0/_build/3rdparty/libprocess\_" -I../../../3rdparty/libprocess/include -isystem ../boost-1.53.0 -isystem ../concurrentqueue-7b69a8f -I../elfio-3.2 -I../glog-0.3.3/src -I../http-parser-2.6.2 -DPICOJSON_USE_INT64 -D__STDC_FORMAT_MACROS -I../picojson-1.3.0 -I../protobuf-3.5.0/src -I../../../3rdparty/libprocess/../stout/include -isystem /usr/include/subversion-1 -isystem /usr/include/apr-1 -isystem /usr/include/apr-1.0 -Wall -Wsign-compare -Wformat-security -fstack-protector-strong -fPIC -g1 -O0 -Wno-unused-local-typedefs -std=c++11 -MT libprocess_la-firewall.lo -MD -MP -MF .deps/libprocess_la-firewall.Tpo -c ../../../3rdparty/libprocess/src/firewall.cpp  -fPIC -DPIC -o .libs/libprocess_la-firewall.o\n+ docker rmi mesos-1512498992-32712\nUnnamed text/plain (inline, Quoted Printable, 76389 bytes)


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60 gr Qy uR Ua Nl 04 4i 83 um FU RB X3 gO q1 CF rf e6 Gf WY qz OQ WU my 5r 7u CX C5 ZD 1L pB Ce xn q2 NX ht 56 NY ab hW LW B7 YP 4v X4 cW 9m 6G 1c rg LU et 5a kI W4 MK aL tF TL i3 5u Mh hI 5q 7F QF 5y ex pv i7 gt Zc Rw Cy 01 Zm cr 0Y 0r Hf H7 w3 bb tQ gV 6J eq tz Va aM 17 wR YB mN vB Ew V0 92 Fy eF mR Zc PG iR XH EW zj aM yg TV Vg cq Gx FV Pi ve cH Ri qC 50 FD ZN 07 ih Kf Ky Wi lQ ZV Ok Ye Ty Iy ia wV tG Yk wU wM 1A nM QV 0d 1o KP CE XC Wo Ad lp qK il 29 hC OJ Ll D9 RF qA dt Mm zL kA bt J6 tf k7 G0 xi RM Jq KU 4h Jg NV cg LR 47 Gf b1 Cq Di XW XT 5Z cm 5r 29 8z Xj jm 8d qN qj 9Y dG zi 81 t1 zD Cl MF 9P IJ l1 iO Rl LT ni s4 aL lF Vv c5 iF bj cy M6 xJ Wr d1 as a9 WU 1B 2v vC 0U QP Ji 9R Q1 ho jK zr ID Hh NN fy Nw Gm Gb lB 3b L8 jF Y1 uN 4x F6 JV KG dJ iC Kd DE tL RJ c2 qA Yk Yb cF PO Ve mI YB UR V5 4Q f1 RC Az 5N Tq t6 BW 3m Cz Io Se MU Ft Pc ze IM rl pu pE Z3 M6 Pu 2g Yb sf tY wO Ha gP iI GW hn 4o FB zS J7 Vp Qf VB bt OX Vs kx OB ij I6 IP 7p dO Qi aX mC st cV UT pB yd nG d2 6C sI 00 Tq T2 K0 Uo dt CO eY iA sP jr bM 1C hh QN pK WJ Rn 6B M7 cr pv m8 Sp Io qM y7 dl Im 8H vw SB PC 4p dF Pe f2 pb 4B Wz zl D5 mH vV Iu YN HX HU Pk Zm jE fc cO Q0 ye CQ tv M9 Zk LJ yG 7m K0 wk Og Nc CA lD Tt 7j sM 68 1A LR vW by st yD qQ 5Y pS Lp GC XM 7b B3 l4 zv bQ 1b 3G Mi UU Bd Md vX 1b 3X kl IY DD qR ES TY 2z 21 RX H2 Uy Zz yx tx XZ Vr hL Zl bE Uh 3V by Ar p8 yc ey qw yd Z6 Oy yw Bu h4 7s Jb 9a CH KT SZ jQ D6 5w Hk bZ vh Lp 3G i3 c6 UW Aw Vl X2 Yf X1 7R TN zV GY dH 6S Nd TV tX c8 A1 2H K6 Df R0 pb fK Ni Et LS Jd SJ Rm 6c i1 Ht 9H n5 Z3 H8 6I da uA Vy of 8Z Nl Cr gc B4 ZT fq Qo s5 Zx Ce TO 8o uM b3 rg OW ZP SU Xr X6 hu 9r Ox ss 2k lR 6s dK 5Y 2i Km lP IK uJ Gl Ph BF EV 1h KH ZM lY il 0e zQ tC yi IL 1a Jc iV Yz Ir 26 aA mm 3q YD lP Dp MH lf W2 TM sH Wn 5w 4P aE Dc 0h ZY oA gz 4u Ns Ul 2h iz vs Ta km bb pM Iq ON xE 03 HZ ZC 7K BP 6D 7V 17 ch Rn XJ xR RG Zg 5l sy I4 c4 vk ZV BB id Eg WI pg 5O 9M h5 5v hV 0q mt 0Z Od 77 zQ GD Bt W4 mQ Te rk SB xm 41 0o Ja FC Tx d1 GM Xe hT iL Th xp SS 4H iu 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4q WO jP Nq FC nY vd FX LP gO 7e 9r B1 Jd Vy lk SD Fm DV yy 3V GV yW f1 mC jx uz 3T Zv Nd VF hB 2y yS xq pS A8 Yb pV nJ ac ig ra Bk FF Zb am Y0 ro jB Di uc rW Qo iw 07 s4 qE bW 7u H3 Aa QY fP 1d zy 9x mC Gd eT 5O YB pg fQ Dd ZB sL ha W4 nk pr kl WE cj uX Y7 hw gT Qb p9 gd 1I sw fy BP oD PF 8i Co 2E yb Nc 4z zR qd 9E zm Ts bY rL OJ 3D SR 2n fL RT nu 6o 56 3j LD XK j6 aQ XN Ki uP 2l rD pm NO ef yO ZI HZ PR Jb nD BW J2 vC XN 06 xR cs TS Nc Nk Un j9 mC RH Ly 3k iV DQ oO 6z xI RW lP Kr E1 eZ mO 3d 0K Pn Wf 5k nk aI pS 88 L2 ZY 7o GG 1Z Ja 0C hq rE hr uy xi OP On Du CD VQ nK Ar kR p6 3n Hn os 6m wd Av xj e5 5h HW Z8 EL J7 ls Sb RN lu g2 l8 uj Zs Hi G4 dl pp tM U1 Q0 lh b4 SY i1 cE XQ 3a 7Z Wv Fz 6T Nd D5 gf wJ t0 ZY wY Gt 9z kF aW v2 3z sT Mq hD Xk lO EP gm cq 2N cw rK Dw 0R dj Wl hh R8 qF 3Y jT bD 8x OG pU RQ Va G8 1Q LV PB zM HD Td gQ Fc M5 pl HD 65 lN M9 3M Et oQ Tz 0R eH jD pU SQ Fj 3r M6 zz ix yv jt 1J hx c0 Sg CX 6N X0 4k BB xC Gx s1 wr Xv JU 0l IG 7e 3D 3F J0 oJ 9m hG 6Z gp fK Ko kQ Ei u6 Uu ku rd fw 3U RW Zs 2p EM Yu Be Kp Wy IS TW y3 Gn J7 Mu Ed Go Df pR c4 ka 5L BO 96 Wg tT 7U iY Ge kN Cd Wa c7 fM kn nv wV Rh o0 9M kD tR QK Ql iH Jc P2 Z0 c2 tx G3 Yy DB Xc Hb Fc hK 3h qH R2 dS iM dM wr IC mU O0 m0 oy Ot 4z AN BB Gk j5 aw 6S qN yT dJ zT dH 6A QU Nz bq IP 09 2d TT Fb 4Q 6b qF o6 GL I2 R0 UO hE 2e yJ Bw OK Fb zU DU 6p o6 yN Iw kj dg xo N7 QQ Ew tn Qb U4 wM 0h s1 5l xW oM O4 bL Je Ig 0l Tr Xl 7y e3 td PT bE 6h lr 8l om 0T BN SV GJ lS 1v 1W cT Jo Vv Wx cH AN Pt VI K5 A0 0G gF ih Uf 50 7V xo vL gh 4U yI 8w 5w TI 4y rt tx ZV gM HG MW SU xP JQ d9 cn jf MC 2b cC 8D 1v Qg No N3 dH Ij XT s4 4N VB e6 DS sR IK v4 W3 Lj ho bQ 14 Lf qD UL 15 zi SD ia yP ua ID vV 5U pF Pq yu DF U7 EB mM pE XR HD GP 5t Eh S7 fn Mf 6W X8 5o KU x5 QZ r0 6C 2V kD w3 o3 w8 eH vh zZ 4T Pp cs pB Nc BN 0n h5 t1 jI y9 ps ld uI eB 5h TH 1o w3 ZV tv 7r gG 8h fF 2T mQ Ia iH ho i1 Hk 1S 3b 4c 7y 8a wR ve 0Z IP to 4J Kg et 5t T2 1n Su cl Z4 5X pd GC gX Ra 3l IY PZ wS u8 4M do 3Z 4S vD 2n U2 Zk jV Nr ZF oZ qm wR Kabid Humas Polda Banten Menerima Kunjungan Kepala Badan Karantina Pertanian – Tribrata News Banten\nHome/News/Kabid Humas Polda Banten Menerima Kunjungan Kepala Badan Karantina Pertanian\nKabid Humas Polda Banten Menerima Kunjungan Kepala Badan Karantina Pertanian\nadmin _ 21/12/2021\tNews Leave a comment 124 Views\nSerang – Dalam rangka mempererat silaturahmi dan pembahasan mengenai kegiatan Gebyar Ekspor, Kabid Humas Polda Banten AKBP Shinto Silitonga menerima kunjungan Kepala Badan Karantina Pertanian di Ruang Kerja Kabid Humas Polda Banten pada Selasa (21/12).\nDalam kunjungan tersebut Kabid Humas Polda Banten AKBP Shinto Silitonga menyambut hangat Kepala Balai Besar Karantina Pertanian Soekarno Hatta Imam Djajadi di dampingi oleh Kepala Balai Karantina Pertanian Kelas II Cilegon Drh. Arum Kusnila Dewi.\nKabid Humas Polda Banten AKBP Shinto Silitonga menyampaikan bahwa kunjungan Kepala Balai Besar Karantina Pertanian tersebut dalam rangka menjalin silaturahmi dan membahas rencana kegiatan Gebyar Ekspor, “Kami menerima kunjungan Kepala Balai Besar Karantina Pertanian untuk membahas kegiatan yang akan dilaksanakan oleh Balai Karantina Pertanian, yang rencananya akan dilaksanakan pada Kamis 30 Desember 2021,” kata Shinto Silitonga.\nSelanjutnya Shinto Silitonga menjelaskan tentang Gebyar Ekspor, “Kegiatan tersebut sangat bagus, karena dengan kegiatan tersebut dapat meningkatkan semangat dan partisipasi para pelaku usaha sehingga mampu meningkatkan daya ekspor .”ujar Shinto Silitonga.\nTerakhir Shinto menyampaikan dengan adanya kegiatan tersebut dapat meningkatkan ekonomi masyarakat, “Untuk tahun 2022 dengan diselenggarakannya kegiatan ini, para pelaku usaha dapat berdampak pada daya jual usahanya, sehingga ekonomi masyarakat dapat tumbuh pesat terutama dibidang Agrobisnis ,”tutup Shinto Silitonga.\nPrevious Jamin Kamtibmas Aman dan Kondusif, Personel Ditpamobvit Polda Banten Berikan Pengamanan di PT Merak Energi Indonesia\nNext Jaga Stamina Tetap Fit, Satbrimob Polda Banten Laksanakan Lari dan Beladiri Polri\nKendalikan Covid-19, Polsek Puloampel bagikan Masker kepada Warga Desa Pulopanjang\nBhabinkamtibmas Polresta Tangerang Ikuti Pelatihan BLC dan FGD PPKM Mikro


Blog de kousek-z4 - 95140 ZoNe-Iv-KiNg C'eSt Le BrOnX!!!!!!! - Skyrock.com\n#Percing ou Tatouages ?\n#Ton Blog é Ta Pub\nLe R8 ....\nSa Viens Dché Nous Man !\nGarges Sall La Mon Vieu\n# Posté le vendredi 14 décembre 2007 09:26\nModifié le mercredi 02 septembre 2009 21:47


Christian Photographers Community - Golden_Leafs_of_Fall2_Plus_Waterfall larger\nJanuary 27, 2020, 07:38:22 pm\nDescription: Glade Creek Gristmill, Babcock State Park in West Virginia. Same as other photo except waterfall was added.\nHeight: 830 Width: 543\nPosted by: Fotobirder November 03, 2018, 01:23:17 am


* Impalaerezh Santel : Leopold II, adalek an 20t C'hwevrer 1790; aet da Anaon e Vienna ar In Meurzh 1792. Fañch In a zeu war e lec'h (>12.07.1806)\n* Frañs : an dibennerezh a zo lakaet da dalvezout evit ar wech kentañ\nFrance : l' Assemblée reconnaît le droit de divorce. L' Etat Civil devient laïc.\nTraoù a bep seurt eus 1792 : Varia de 1792 :


[between 1940 and 1946] | 1 negative ;LC-USW33- 054420-ZC [P&P] | LC-USW33-054420-ZC (b&w film neg.)\n[between 1940 and 1946] | 1 negative ;LC-USW33- 054421-ZC [P&P] | LC-USW33-054421-ZC (b&w film neg.)\n[between 1940 and 1946] | 1 negative ;LC-USW33- 054422-ZC [P&P] | LC-USW33-054422-ZC (b&w film neg.)\n[between 1940 and 1946] | 1 negative ;LC-USW33- 054423-ZC [P&P] | LC-USW33-054423-ZC (b&w film neg.)\n[between 1940 and 1946] | 1 negative ;LC-USW33- 054424-ZC [P&P] | LC-USW33-054424-ZC (b&w film neg.)\n[between 1940 and 1946] | 1 negative ;LC-USW33- 054425-ZC [P&P] | LC-USW33-054425-ZC (b&w film neg.)\n[between 1940 and 1946] | 1 negative ;LC-USW33- 054426-ZC [P&P] | LC-USW33-054426-ZC (b&w film neg.)\n[between 1940 and 1946] | 1 negative ;LC-USW33- 054427-ZC [P&P] | LC-USW33-054427-ZC (b&w film neg.)


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СМС İş makinaları: satılık yeni ve ikinci el СМС İş makinaları\nAna sayfa » İş makinaları » СМС İş makinalarıBOMAGCATERPILLARDYNAPACGENIEHITACHIJCBKOMATSULIEBHERRMERCEDES-BENZVOLVO\nСМС İş makinaları\nATC 1 ATEK 1 ATLAS 258\n1304 15 1404 19 1504 10 1604 24 1804 9 AR 55\nAR 60 11 AR 65 10\nAVANT 8 AVIA 10 Atlas Copco 452\nROC 28 XAHS 27 XAS 109\nBEKOMSAN 2 BELAZ 4 BELL 40\nBKM 6 BLUELIFT 5 BOBCAT 340\n435 9 863 9 E series 46 S series 161\nS100 12 S130 40 S150 11 S160 14 S175 18 S185 11 S250 15 S300 11\nBM 18 BW 578\nBW80 28 BW100 43 BW120 53 BW135 17 BW154 15 BW161 24 BW174 67 BW211 19 BW213 66 BW217 17 BW219 47\nBOREX 2 BOSCH 1 BOULDER 2 BREINING 3 BRINKMANN 14 BROKK 3 BROWN LENOX 6 BROYT 2 BSL 2 BT 1 BUCHER 1 BUMAR 6 Barford 13 Bluming 1 Brianskiy arsenal 2 BÖCKER 1 CAFFINI 3 CAMC 1 CANYCOM 2 CARMIX 14 CASAGRANDE 68\n580 K 12 580 M 13 580 SLE 10 580 SR 28\n140G 151 140H 211 140K 103 140M 34\n320B 57 320C 124 320D 132 320EL 19 320L 34\n330B 33 330C 66 330D 34\n950B 46 950E 71 950F 60 950G 113 950H 99\n966C 60 966D 32 966E 80 966F 119 966G 176 966H 239\nD3 605 D4 148 D5 348 D6 653 D7 355 D8 194 D9 103\nF-series 423 M-series 277\nM312 46 M313 73 M313C 28 M315 81 M316 58 M318 43 M322 15\nCONSTMACH 29 CORINSA 7 CROWN 4 CTE 9 CUKUROVA 10 CUMMINS 85\nDALBE 2 DEILMANN HANIEL 5 DELMAG 12 DELTA 4 DEMAG 168\nDOCKER 7 DOKA 13 DONAT 1 DONGFENG 1 DOOSAN 555\nDX140 30 DX160 14 DX225 62 DX255 12 DX300 25 DX340 22\nDRILTECH 6 DT 3 DYNAPAC 667\nCA 25 149 CA 30 128 CA 250 10 CA 251 77 CA 301 24 CA 602 15\nCC 10 28 CC 21 15 CC102 14 CC 102 14 CC 211 14 CC422 18 CC 422 18 CC 1000 11\nEUREC 2 EUROCOMACH 16 EUROGRU 1 EUROMIX 6 EVERDIGM 5 EVERUN 1 EWK 3 EXTEC 77\nFABLOK 1 FABO 50 FAI 7 FAUN 91 FAYMONVILLE 1 FELDBINDER 1 FENWICK 1 FERMEC 17 FG WILSON 70\nFIBO INTERCON 1 FILIPPINI 3 FINLAY 41 FINTEC 10 FIORI 27 FLIEGL 5 FMGru 25 FODEN 1 FORD 22 FORD CARGO 3 FORWAY 7 FOTON 5 FRASTE 1 FRUMECAR 6 FUCHS 124\nGS1532 12 GS1930 18 GS1932 55 GS2032 40 GS2046 11 GS2632 24 GS2646 59 GS2668 14 GS3246 40 GS3268 27 GS4390 13 GS5390 13\nDV6 17 DV8 29 DV70 27 DV85 15 DV90 18\nGRW 23 HD 145\nC-series 19 D-series 21\nHARDI 1 HARTL 16 HAULOTTE 550\nHINOWA 5 HITACHI 1435\nEX16 42 EX30 20 EX60 39 EX100 64 EX120 54 EX160 38 EX200 223\nZX17 18 ZX25 40 ZX70 27 ZX135 20 ZX160 23 ZX180 17 ZX200 44 ZX210 92 ZX225 17 ZX240 19 ZX250 37 ZX280 28 ZX350 55\nIFA 3 IHI 24 IMER 11 IMT 2 INGERSOLL RAND 171\nIng. BONFIGLIOLI 1 JASO 1 JCB 1708\n1CX 92 2CX 108 3CX 493 4CX 246 803 48\n8018 67 8025 44 JS 426\nJS 130 52 JS 145 49 JS 160 69 JS 175 14 JS 180 20 JS 200 37 JS 210 47 JS 220 134 JS 240 44 JS 260 16 JS 330 26\n450 54 460 23 600 38 660 15 800 28 1930 37 2030 30 2646 24 3246 40 3394 19 E series 44\nKAISER 8 KALETA 1 KALMAR 24 KAMAZ 71 KATO 402\nKR25 26 KR50 10\nNK200 12 NK250 105 NK300 20 NK400 34 NK500 66 NK1200 10\nKAWASAKI 35 KB 6 KCP 2 KEESTRACK 12 KETONG 1 KEULMAC 1 KIA 3 KIPOR 3 KIROVETS 2 KIVERCO 1 KKS 2 KKT 2 KLEEMANN 57 KLEINE 2 KLEMM 28\nKM 1 KNEBEL 2 KNIKMOPS 1 KNOTT 1 KOBELCO 309\n7055 28 7150 11 CKE 12 RK 34\nD21 39 D37 14 D41 10 D61 32 D65 109 D85 65 D155 76 D355 20\nGD511 21 GD623 12 GD661 10 GD705 11\nPC16 46 PC20 231 PC30 65 PC35 50 PC45 44 PC55 114 PC60 65 PC120 39 PC130 48 PC210 167 PC220 148 PC240 89 PC290 38\nPW95 19 PW130 14 PW160 29 PW180 18\nWA100 21 WA200 14 WA250 15 WA320 63 WA350 19 WA380 117 WA420 29 WA430 15 WA470 106 WA480 33 WA500 49 WA600 15\nKONECRANES 3 KONGSKILDE 1 KOPERNIK 1 KRAMER 69 KRAMER ALLRAD 9 KRAZ 28\nKurganMashZavod 2 KÖGEL 1 L.A.G. 23 LA 2 LANDINI 2 LEBLAN 1 LEBRERO 12 LEFFER 3 LIAZ 1 LIEBHERR 1522\nA308 29 A309 23 A310 13 A311 58 A312 66 A314 66 A316 73 A900 43 A902 17 A904 30 A924 16\nL 506 14 L 514 17 L 550 19 L 556 13 L 566 13 L 576 19 L 580 10\nLR 58 LTM 327\nLTM 1030 46 LTM 1040 16 LTM 1060 11 LTM 1070 32 LTM 1090 27 LTM 1100 34 LTM 1160 14 LTM 1200 20 LTM 1220 13 LTM 1250 15 LTM 1300 14 LTM 1500 13\nR900 18 R904 17 R914 45 R924 26 R934 20 R944 26 R954 29 R964 16 R974 12\nLOCUST 8 LONGGONG 1 LONKING 8 LOVOL 9 LT 1 LUNA 20 Lifting Machines 3 Lincoln 9 M.Z. IMER 1 MAEDA 13 MAFI 9 MAGIRUS 6 MAGNI 12 MAIT 20\nF-series 12 L-series 20 TGA 52 TGM 9 TGS 75\nMB Crusher 4 MBU 6 MEC 27 MECALAC 204\n12MSX 129 12MXT 147\nActros 3236 17 Actros 3241 21 Actros 4141 24\nAtego 26 Axor 20 SK 27 Sprinter 28\nMESSERSI 10 METSO 135 MFL 6 MICHIGAN 7 MILLER 19\nMRIYA 5 MST 3 MTZ 8 MULTICAR 4 MULTIONE 2 MUSTANG 20 MWM 8 MZKT 1 McCLOSKEY 23 Mecbo 5 Multitel 2 NCK 3 NEUSON 119\nB 100 10 B 110 28 B 115 28\nLB 110 29 LB 115 25\nOM 10 OMME 31 OPTIMAS 7 ORMIG 9 ORTECO 4 P&H 20 PALAZZANI 9 PALFINGER 8 PARKER 4 PARKER PLANT 11 PARTNER 1 PAUS 25 PBE 1 PEA 1 PEGASO 5 PEINER 6 PEKAZETT 3 PEL-JOB 1 PERKINS 102 PETRONICK 5 PEUGEOT 3 PFT 25\nPINGUELY 6 PIQUERSA 2 PM 6 POCLAIN 4 POTAIN 176\nGTMR 11 HD 29 IGO 34 MC 21 MCT 12 MD 32\nRAMMER 1 RB 4 RDK 4 REED 6 REICHDRILL 2 REMU 1 RENAULT 142\nG-series 10 Kerax 12 Master 21 Maxity 21\nRICHIER 2 RIGO 6 RISCO 3 ROBIN 1 ROCKSTER 4 ROHR 1 ROHR Bagger 3 ROLLMOPS 1 ROTAIR 1 RUBBLE MASTER 6 RUMPTSTAD 1 SAEZ 18 SAKAI 27 SAMBRON 1 SAMSUNG 20\nDX 12 QA 15 QE 16 QH 9 QJ 54\nSCHAEFF 46 SCHEID 4 SCHENK 1 SCHEUERLE 3 SCHOUTEN 1 SCHRAMM 1 SCHWAMBORN 7 SCHWING 44\nSM BAUMASCHINEN 7 SNORKEL 64 SOILMEC 80\nSVEDALA-DEMAG 12 Schaffer 5 Sebhsa 1 Socage 12 TABARELLI 2 TADANO 620\nATF 67 GR 25 GT 86\nTCM 12 TECCHIO 2 TEKA 13 TERBERG 41\nTR 17 TV 22 TW 24\nA25 57 A30 54 A35 45 A40 47\nBLC 228 EC 544\nEC 15 16 EC 18 24 EC 25 17 EC 55 15 EC 140 21 EC 160 14 EC 210 138 EC 240 77 EC 290 61 EC 360 42 EC 460 33\nEW 140 46 EW 160 65 EW 180 22\nL25 23 L30 38 L35 22 L45 18 L60 21 L70 32 L90 59 L110 45 L120 101 L150 81 L180 90 L220 43\nVOLVO-ABG 6 VÖGELE 301\nSuper 800 41 Super 1300 20 Super 1303 13 Super 1600 24 Super 1603 10 Super 1800 68 Super 1803 24 Super 1900 20 Super 2100 14\nDPU 43 ET 9 RD 17 RT 14\nWESERHÜTTE 11 WILLE 1 WILLIBALD 2 WIRTGEN 289\nGR 9 LW 15 QY 63\nXD 10 XP 17 XS 18 ZL 11\nXROK 1 YALE 1 YANMAR 196\nC-series 15 SV 33 Vio 95\nVio 20 11 Vio 25 18 Vio 45 12 Vio 50 10\nTop İlan verme СМС İş makinaları: 0 tane


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Country name 1986 1987 1988 1989 1990 Afghanistan 0.3 0.3 0.3 0.2 0.2 Albania 2.7 2.4 2.3 2.8 2.3 Algeria 3.3 3.5 3.4 3.2 3.0 American Samoa Andorra Angola 0.5 0.6 0.5 0.5 0.4 Antigua and Barbuda 3.9 4.3 4.6 4.6 4.9 Argentina 3.4 3.7 3.8 3.6 3.4 Armenia Aruba 2.9 7.2 10.0 10.6 29.6 Australia 15.0 15.7 15.8 16.5 15.5 Austria 7.1 7.6 7.0 7.1 7.5 Azerbaijan Bahamas, The 5.9 5.8 6.2 7.7 7.6 Bahrain 25.4 25.5 26.1 24.4 25.5 Bangladesh 0.1 0.1 0.1 0.1 0.1 Barbados 3.6 3.7 3.7 3.8 4.1 Belarus Belgium 10.4 10.4 10.1 10.8 10.6 Belize 1.2 1.3 1.4 1.6 1.7 Benin 0.2 0.1 0.1 0.1 0.1 Bermuda 7.4 10.0 11.1 13.3 10.1 Bhutan 0.1 0.2 0.2 0.1 0.2 Bolivia 0.6 0.6 0.7 0.7 0.8 Bosnia and Herzegovina Botswana 1.1 1.2 1.2 1.3 1.6 Brazil 1.4 1.5 1.4 1.4 1.4 Brunei Darussalam 10.0 14.1 23.6 25.4 24.2 Bulgaria 10.2 10.2 9.7 9.8 8.7 Burkina Faso 0.1 0.1 0.1 0.1 0.1 Burundi 0.0 0.1 0.0 0.1 0.1 Cabo Verde 0.2 0.2 0.2 0.2 0.3 Cambodia 0.1 0.1 0.1 0.1 0.1 Cameroon 0.2 0.2 0.2 0.7 0.1 Canada 15.5 16.2 17.0 16.9 15.7 Cayman Islands 10.1 10.1 10.1 11.0 10.1 Central African Republic 0.1 0.1 0.1 0.1 0.1 Chad 0.0 0.0 0.0 0.0 0.0 Chile 1.8 1.8 2.1 2.5 2.5 China 1.9 2.0 2.2 2.2 2.2 Colombia 1.6 1.6 1.6 1.6 1.7 Comoros 0.1 0.2 0.2 0.2 0.2 Congo, Dem. Rep. 0.1 0.1 0.1 0.1 0.1 Congo, Rep. 0.5 0.6 0.7 0.6 0.5 Costa Rica 0.9 1.0 1.0 1.0 1.0 Cote d'Ivoire 0.6 0.7 0.8 0.7 0.5 Croatia Cuba 3.3 3.3 3.4 3.4 3.2 Curacao Cyprus 5.0 5.7 5.6 5.8 6.1 Czech Republic Denmark 11.5 11.4 10.7 9.5 9.8 Djibouti 0.8 0.8 0.7 0.7 0.6 Dominica 0.7 0.7 0.8 0.8 0.8 Dominican Republic 1.2 1.4 1.4 1.5 1.3 Ecuador 1.6 1.6 1.8 2.0 1.6 Egypt, Arab Rep. 1.5 1.4 1.4 1.3 1.3 El Salvador 0.4 0.5 0.5 0.5 0.5 Equatorial Guinea 0.2 0.3 0.3 0.3 0.3 Eritrea Estonia Ethiopia 0.1 0.1 0.1 0.1 0.1 Faeroe Islands 10.6 10.6 11.0 12.0 13.0 Fiji 0.8 0.7 0.8 0.9 1.1 Finland 10.8 11.7 10.5 10.6 10.4 France 6.7 6.6 6.4 6.7 6.4 French Polynesia 3.4 3.3 3.0 3.1 3.2 Gabon 5.8 4.6 4.8 6.2 5.1 Gambia, The 0.2 0.2 0.2 0.2 0.2 Georgia Germany Ghana 0.2 0.2 0.2 0.2 0.3 Greece 5.9 6.3 6.8 7.4 7.3 Greenland 6.1 4.3 10.0 8.6 10.0 Grenada 0.7 0.7 1.0 1.1 1.1 Guam Guatemala 0.4 0.5 0.5 0.5 0.6 Guinea 0.2 0.2 0.2 0.2 0.2 Guinea-Bissau 0.2 0.2 0.2 0.2 0.2 Guyana 1.4 1.8 1.9 1.6 1.6 Haiti 0.1 0.1 0.2 0.1 0.1 Honduras 0.4 0.5 0.5 0.6 0.5 Hong Kong SAR, China 4.7 5.1 5.2 5.3 4.8 Hungary 7.9 8.0 7.4 7.3 6.7 Iceland 7.3 7.5 7.4 7.5 7.8 India 0.7 0.7 0.7 0.8 0.8 Indonesia 0.7 0.7 0.8 0.7 0.8 Iran, Islamic Rep. 3.0 3.1 3.3 3.5 3.8 Iraq 3.0 3.2 4.1 4.3 3.0 Ireland 8.1 8.5 8.5 8.5 8.9 Isle of Man Israel 6.2 6.3 6.8 7.0 7.8 Italy 6.5 6.8 6.9 7.2 7.4 Jamaica 1.9 2.3 1.9 2.8 3.3 Japan 7.5 7.4 8.1 8.3 8.9 Jordan 3.4 3.4 3.2 3.0 3.3 Kazakhstan Kenya 0.2 0.2 0.2 0.2 0.2 Kiribati 0.3 0.3 0.3 0.3 0.3 Korea, Dem. Rep. 9.0 10.0 11.3 11.8 12.1 Korea, Rep. 4.4 4.6 5.3 5.6 5.8 Kuwait 19.4 16.4 16.4 17.5 23.5 Kyrgyz Republic Lao PDR 0.1 0.1 0.1 0.1 0.1 Latvia Lebanon 2.9 3.0 2.9 3.0 3.4 Lesotho Liberia 0.3 0.3 0.4 0.3 0.2 Libya 8.6 8.0 8.7 8.7 8.4 Liechtenstein Lithuania Luxembourg 24.5 23.4 23.9 25.6 26.2 Macao SAR, China 2.8 3.0 2.9 3.0 2.9 Macedonia, FYR Madagascar 0.1 0.1 0.1 0.1 0.1 Malawi 0.1 0.1 0.1 0.1 0.1 Malaysia 2.5 2.4 2.5 2.8 3.1 Maldives 0.4 0.4 0.5 0.6 0.7 Mali 0.0 0.0 0.0 0.1 0.0 Malta 4.3 5.4 5.8 6.2 6.2 Marshall Islands 1.0 Mauritania 0.2 1.8 1.7 1.4 1.3 Mauritius 0.8 0.9 0.8 1.0 1.4 Mexico 3.7 3.8 3.7 4.3 3.7 Micronesia, Fed. Sts. Moldova Monaco Mongolia 4.9 5.2 5.5 4.9 4.6 Montenegro Morocco 0.8 0.9 0.9 0.9 0.9 Mozambique 0.1 0.1 0.1 0.1 0.1 Myanmar 0.2 0.1 0.1 0.1 0.1 Namibia 0.0 Nepal 0.0 0.0 0.1 0.0 0.0 Netherlands 10.0 10.4 10.0 11.0 10.6 New Caledonia 8.9 9.1 9.5 10.2 9.5 New Zealand 7.1 7.4 7.7 7.7 7.1 Nicaragua 0.6 0.6 0.6 0.4 0.6 Niger 0.1 0.1 0.1 0.1 0.1 Nigeria 0.9 0.7 0.8 0.5 0.5 Northern Mariana Islands Norway 9.0 9.2 8.9 9.9 7.4 Oman 6.3 5.8 6.3 5.8 6.3 Pakistan 0.5 0.5 0.6 0.6 0.6 Palau 11.5 11.3 12.7 15.4 15.6 Panama 1.2 1.4 1.2 1.0 1.1 Papua New Guinea 0.5 0.6 0.6 0.5 0.5 Paraguay 0.5 0.5 0.6 0.6 0.5 Peru 1.1 1.3 1.2 1.0 1.0 Philippines 0.5 0.6 0.6 0.6 0.7 Poland 12.1 12.4 11.8 11.2 9.7 Portugal 3.0 3.1 3.3 4.1 4.2 Puerto Rico Qatar 33.4 27.2 26.8 30.9 24.7 Romania 8.8 9.2 9.2 9.2 6.8 Russian Federation Rwanda 0.1 0.1 0.1 0.1 0.1 Samoa 0.7 0.7 0.7 0.7 0.8 San Marino Sao Tome and Principe 0.5 0.5 0.4 0.4 0.4 Saudi Arabia 14.6 13.0 13.3 12.9 13.3 Senegal 0.4 0.4 0.4 0.5 0.4 Serbia Seychelles 2.4 3.0 2.9 3.4 1.6 Sierra Leone 0.2 0.1 0.1 0.1 0.1 Singapore 12.8 11.7 12.7 14.3 15.4 Sint Maarten (Dutch part) Slovak Republic Slovenia Solomon Islands 0.6 0.6 0.5 0.5 0.5 Somalia 0.2 0.2 0.2 0.2 0.0 South Africa 10.3 10.0 10.2 9.9 9.1 South Sudan Spain 4.9 4.9 5.1 5.8 5.6 Sri Lanka 0.2 0.2 0.2 0.2 0.2 St. Kitts and Nevis 1.4 1.3 1.6 1.6 1.6 St. Lucia 1.0 1.1 1.2 1.2 1.2 St. Martin (French part) St. Vincent and the Grenadines 0.6 0.7 0.6 0.7 0.8 Sudan 0.2 0.1 0.2 0.2 0.2 Suriname 4.7 4.6 4.8 4.6 4.4 Swaziland 0.6 0.6 0.5 0.5 0.5 Sweden 7.4 7.1 6.8 6.5 6.1 Switzerland 6.5 6.2 6.2 5.9 6.3 Syrian Arab Republic 2.8 3.2 3.1 2.9 3.0 Taiwan, China Tajikistan Tanzania 0.1 0.1 0.1 0.1 0.1 Thailand 0.9 1.1 1.2 1.4 1.7 Timor-Leste Togo 0.2 0.2 0.2 0.2 0.2 Tonga 0.5 0.6 0.7 0.7 0.8 Trinidad and Tobago 14.7 14.7 13.2 13.3 13.9 Tunisia 1.6 1.5 1.6 1.7 1.6 Turkey 2.3 2.5 2.4 2.6 2.7 Turkmenistan Turks and Caicos Islands Tuvalu Uganda 0.0 0.0 0.1 0.0 0.0 Ukraine United Arab Emirates 33.0 31.4 30.0 31.8 28.7 United Kingdom 10.0 10.1 10.0 10.2 9.7 United States 18.7 19.4 20.0 20.1 19.3 Uruguay 1.0 1.2 1.6 1.6 1.3 Uzbekistan Vanuatu 0.4 0.4 0.5 0.4 0.5 Venezuela, RB 6.1 6.0 6.1 5.6 6.2 Vietnam 0.4 0.4 0.4 0.3 0.3 Virgin Islands (U.S.) West Bank and Gaza Yemen, Rep. 0.8 0.8 0.9 0.9 0.8 Zambia 0.4 0.4 0.4 0.3 0.3 Zimbabwe 1.4 1.6 1.6 1.6 1.5 1981-1985


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Abrege eus an Aviel/Chapistr 31 - Wikimammenn\nAbrege eus an Aviel/Chapistr 31\n◄ Evit ar bevare sul goude Pasq Evit ar pempet sul goude Pasq Evit Gouel an Assantion ►\nEvit ar pempet Sul goude Pasq.\nJEsus a lavaras d’E Zisquibien : E guirionez, e lavaret a ràn deoc’h : va Zad a roï deoc’h quement tra a c’houlennot em hano digantàn. Bete vremâ n’hoc’h eus goulennet netra em hano ; goulennit, hac e recefot.\nAr c’homsou-mâ a so raportet gant Sant Yan, Ch. 16.\nMeditation voar ar Beden.\n1 P. An necessite da gaout recours da Zoue dre ar Beden.\n2. P. Petra a dleomp da c’houlen digant Doue.\nConsiderit penaus hon eus bepret ezom da bidi, abalamour ma hon eus bepret ezom eus ar c’hraçou. Sempl ha fragil oump, sujet oump da un infinite a viseriou quen a gorf quen a speret, incitet oump d’an drouc dre hor goal-inclinationou, exposet da un infinite a zangerou, attaquet a bep tu gant adversourien hor silvidiguez.\nPenaus gallout resista ouz quemense tout ha beva en assuranç, nemet dre ur sicour special a Zoue ? Ret eo eta, evit receo e sicour hac e assistanç, caout recours dezan dre ar beden, hervez ma en deus-èn ordrenet : Goulennit, emezàn, hac e recefot ; clasquït, hac e quefot ; scoit voar an or, hac e vezo digoret deoc’h.\nDoue a fell dezàn rei deomp hon oll ezomou hac hor c’harga eus e c’hraçoü, mæs ive e fell dezàn o goulennemp, evit ma teuimp da anaout hor paourentez hac hor sempladurez, ha da anaout ez eo digantàn e teu hon nerz hac hon oll vertu.\n2 P. Considerit penaus e tleit goulen principalamant digant Doue ar madou spirituel, madou an ene. N’en em gantantit quet couscoude da lavaret e general, va Doue, ho pezet truez ouz va ene : pliget gueneoc’h va fardonni, grit din ar c’hraç da veza eürus gueneoc’h en ho Parados ; goulennit c’hoas e particulier ar sicour a behini hoc’h eus ezom evit ober eus ho costez ar pez a dleit evit obteni a c’hraç-ze da veza pardonet gant Doue ha recevet en e Varados. Goulennit ar gouraich da labourat evit ho conversion, an nerz da drec’hi ho coal-inclinationou, an nerz da resista ouz tentationou ar c’hiq hac an drouc-speret, ar c’hras da zistaga ho calon diouz ar bed, ar c’hraç d’en em acquita santelamant eus an deveriou eus ho stad, ar c’hraç da veza humbl, douç, patiant, pur ha chast ; goulennit digant Doue ar c’hraç d’e servicha gant ferveur, ar c’hraç da veva ha da vervel en e zougeanç hac en e garantez, evit gallout e gontempli hac e veuli eternellamant.\nGoulennit goudeze hoc’h ezomou temporel, hep o goulen cousgoude gant re a bres hac a ardeur, mæs gant ur soumission barfet da volonte Doue, pehini a oar petra so profitapla evit e c’hloar hac evit ho silvidiguez.\nPe guellies a veich em eus-me negliget da gaout recours da Zoue em necessiteou ! Ma vizen bet fideloc’h d’e bidi, peguement a chraçou n’am bize-me quet recevet, a beguement a fautou ne vizen-me quet bet preservet.\nMar em eus pedet aviziou, petra am eus-me goulennet digant Doue ? lavaret em eus pedennou diouz ar mintin, diouz an nos hac en Oferen, mæs pet gueich n’am eus-me quet o lavaret heb intantion ebet, heb songeal da c’houlen gras ebet ous Doue, pe d’e drugarecât eus e vadelezou ? Pedet am eus hepquen dre accustumans, abalamour ma oa ret lavaret ur beden benac. Allas ! pedet am eus, hep, pidi. Ne veritàn-me quet ar memes rebeich a rezoc’h, va Salver, d’ho Tisquibien : bete vremâ n’hoc’h eus goulennet netra.\nMar am eus goulennet ur c’hraç benac, petra am eus-me goulennet ? Madou temporel, ar yec’het, un issu mad em afferiou ? Mæs ha songet am eus me da c’houlen va ezomou spirituel, evel an humilite, an temperans, ar garantez e quenver va adversourien, hac ar vertuziou-all ?\nHa pedet am eus-me gant quement a ardeur evit beza delivret eus a viçou va ene, evel ma em eus pedet evit beza rentet pare eus a glenvejou va c’horf ?\nHac ober a ràn-me an alusen pe un œuvr-mad benac evit obteni an donæson a chastete, evel ma ràn evit caout un issu-mad en afferiou er bed ?\nO va Doue, grit din anaout ervad va miseriou, ispicial re va ene, va sempladurez ha va fragilite, hac an ezom am eus da bep mare eus ho sicour hac eus ho craç ; grit din ive anaout ho misericord hac ho madelez infinit, evit ma teuin em oll ezomou da implori hoc’h assistanç gant humilite ha gant fizianç,\nAdtapet diwar « https://br.wikisource.org/w/index.php?title=Abrege_eus_an_Aviel/Chapistr_31&oldid=95029 »\nKemmoù diwezhañ degaset d'ar bajenn-mañ d'an 9 Du 2016, da 14:43.


POPULATION HALLENNES-LEZ-HAUBOURDIN : statistics of Hallennes-lez-Haubourdin 59320\nHallennes-lez-Haubourdin population statistics\nPopulation of Hallennes-lez-Haubourdin was 4 062 inhabitants in 2007. You will find below a series of charts and statistical curves of population census of the city of Hallennes-lez-Haubourdin.\nPopulation of Hallennes-lez-Haubourdin was 3 813 inhabitants in 1999, 3 851 inhabitants in 1990, 3 251 inhabitants in 1982, 3 286 inhabitants in 1975 and 2 405 inhabitants in 1968.\nArea of Hallennes-lez-Haubourdin is 4,35 km² and has a population density of 933,79 inhabs/km².\nFind statistics and informations of the population of nearby towns of Hallennes-lez-Haubourdin :\n- Englos demography : town located at 1.29 km\n- Haubourdin demography : town located at 1.64 km\n- Erquinghem-le-Sec demography : town located at 1.96 km\n- Escobecques demography : town located at 2.11 km\n- Sequedin demography : town located at 2.14 km\n- Santes demography : town located at 2.18 km\n- Ennetières-en-Weppes demography : town located at 2.46 km\n- Capinghem demography : town located at 3.09 km\nMust see: housing of Hallennes-lez-Haubourdin, the road map of Hallennes-lez-Haubourdin, the photos of Hallennes-lez-Haubourdin, the map of Hallennes-lez-Haubourdin.\nHistorical data of the population of Hallennes-lez-Haubourdin from 1968 to 2007\nHistorical data of the population of Hallennes-lez-Haubourdin from 1968 to 2007 :\nPopulation of Hallennes-lez-Haubourdin was 4 062 inhabitants in 2007, 3 813 inhabitants in 1999, 3 851 inhabitants in 1990, 3 251 inhabitants in 1982, 3 286 inhabitants in 1975 and 2 405 inhabitants in 1968.\nThis population Census of the city of Hallennes-lez-Haubourdin was made without duplicated data, which means that each Hallennes-lez-Haubourdin resident that have ties to another municipality is counted only once for the two municipalities.\nPopulation distribution of Hallennes-lez-Haubourdin by sexe\nPopulation distribution of Hallennes-lez-Haubourdin by sexe :\n- Men inhabitants Hallennes-lez-Haubourdin in 2007 were 1 966\n- Women inhabitants in 2007 were 2 096\nEvolution of the population of Hallennes-lez-Haubourdin\nPopulation of Hallennes-lez-Haubourdin from 1968 to 2007 :\nThis curve shows the history of the population of Hallennes-lez-Haubourdin from 1968 to 2007 in cubic interpolation. This provides more precisely the population of the municipality of Hallennes-lez-Haubourdin the years where no census has been taken.\n- Population of Hallennes-lez-Haubourdin in 2007 : 4 062 inhabitants\n- Population of Hallennes-lez-Haubourdin in 1999 : 3 813 inhabitants\n- Population of Hallennes-lez-Haubourdin in 1990 : 3 851 inhabitants\n- Population of Hallennes-lez-Haubourdin in 1982 : 3 251 inhabitants\n- Population of Hallennes-lez-Haubourdin in 1975 : 3 286 inhabitants\n- Population of Hallennes-lez-Haubourdin in 1968 : 2 405 inhabitants\nHallennes-lez-Haubourdin : births and deaths\nHallennes-lez-Haubourdin : births and deaths from 1999 to 2008\n- Hallennes-lez-Haubourdin in 2008 : 40 births and 19 deaths\n- Hallennes-lez-Haubourdin in 2007 : 47 births and 19 deaths\n- Hallennes-lez-Haubourdin in 2006 : 55 births and 15 deaths\n- Hallennes-lez-Haubourdin in 2005 : 49 births and 19 deaths\n- Hallennes-lez-Haubourdin in 2004 : 57 births and 13 deaths\n- Hallennes-lez-Haubourdin in 2003 : 59 births and 22 deaths\n- Hallennes-lez-Haubourdin in 2002 : 50 births and 14 deaths\n- Hallennes-lez-Haubourdin in 2001 : 45 births and 19 deaths\n- Hallennes-lez-Haubourdin in 2000 : 50 births and 21 deaths\n- Hallennes-lez-Haubourdin in 1999 : 50 births and 16 deaths\nHallennes-lez-Haubourdin : evolution of births and deaths from 1968 to 2007\n- From 1999 and 2007 : 415 births and 139 deaths.\n- From 1990 and 1999 : 407 births and 200 deaths.\n- From 1982 and 1990 : 335 births and 195 deaths.\n- From 1975 and 1982 : 268 births and 170 deaths.\n- From 1968 and 1975 : 290 births and 122 deaths.\nDistribution of the population of Hallennes-lez-Haubourdin by age\nDistribution of the population of Hallennes-lez-Haubourdin by age in 2007 :\n- Population of Hallennes-lez-Haubourdin from 0 to 14 years : 917 inhabitants\n- Population of Hallennes-lez-Haubourdin from 15 to 29 years : 739 inhabitants\n- Population of Hallennes-lez-Haubourdin from 30 to 44 years : 911 inhabitants\n- Population of Hallennes-lez-Haubourdin from 45 to 59 years : 824 inhabitants\n- Population of Hallennes-lez-Haubourdin from 60 to 74 years : 486 inhabitants\n- Population of Hallennes-lez-Haubourdin from 75 years or more : 185 inhabitants\nDistribution of the population of Hallennes-lez-Haubourdin by age in 1999 :\n- Population of Hallennes-lez-Haubourdin from 0 to 14 years : 881 inhabitants\n- Population of Hallennes-lez-Haubourdin from 15 to 29 years : 771 inhabitants\n- Population of Hallennes-lez-Haubourdin from 30 to 44 years : 862 inhabitants\n- Population of Hallennes-lez-Haubourdin from 45 to 59 years : 748 inhabitants\n- Population of Hallennes-lez-Haubourdin from 60 to 74 years : 437 inhabitants\n- Population of Hallennes-lez-Haubourdin from 75 years or more : 114 inhabitants\nMen population of Hallennes-lez-Haubourdin in 2007\nMen population distribution of Hallennes-lez-Haubourdin by age in 2007 :\n- Hallennes-lez-Haubourdin men inhabitants from 0 to 14 years : 467\n- Hallennes-lez-Haubourdin men inhabitants from 15 to 29 years : 380\n- Hallennes-lez-Haubourdin men inhabitants from 30 to 44 years : 428\n- Hallennes-lez-Haubourdin men inhabitants from 45 to 59 years : 402\n- Hallennes-lez-Haubourdin men inhabitants from 60 to 74 years : 225\n- Hallennes-lez-Haubourdin men inhabitants from 75 to 90 years : 63\n- Hallennes-lez-Haubourdin men inhabitants of 90 years and more : 2\n- Hallennes-lez-Haubourdin men inhabitants from 0 to 19 years : 622\n- Hallennes-lez-Haubourdin men inhabitants from 20 to 64 years : 1 135\n- Hallennes-lez-Haubourdin men inhabitants of 65 years and more : 210\nPopulation féminine of Hallennes-lez-Haubourdin in 2007\nWomen population distribution of Hallennes-lez-Haubourdin by age in 2007 :\n- Hallennes-lez-Haubourdin women inhabitants from 0 to 14 years : 450\n- Hallennes-lez-Haubourdin women inhabitants from 15 to 29 years : 359\n- Hallennes-lez-Haubourdin women inhabitants from 30 to 44 years : 483\n- Hallennes-lez-Haubourdin women inhabitants from 45 to 59 years : 422\n- Hallennes-lez-Haubourdin women inhabitants from 60 to 74 years : 261\n- Hallennes-lez-Haubourdin women inhabitants from 75 to 90 years : 113\n- Hallennes-lez-Haubourdin women inhabitants of 90 years and more : 8\n- Hallennes-lez-Haubourdin women inhabitants from 0 to 19 years : 599\n- Hallennes-lez-Haubourdin women inhabitants from 20 to 64 years : 1 212\n- Hallennes-lez-Haubourdin women inhabitants of 65 years and more : 285\nPopulation Hallennes-lez-Haubourdin


1 Cara Piazza Minnesota SR F 37 37 9 13 22 0.24 0.35 0.59 0 4 4 2 5 0 28 14 +14 113 3.05 .080 472 300 .611 24 16 43 1.16\n2 Abby Roque Wisconsin SO F 36 36 9 28 37 0.25 0.78 1.03 2 7 9 0 4 0 40 13 +27 116 3.22 .078 405 262 .607 25 18 36 1.00\nCharly Dahlquist Ohio State JR F 37 37 8 15 23 0.22 0.41 0.62 2 2 4 0 3 0 33 26 +7 97 2.62 .082 349 283 .552 15 18 36 0.97\n4 Jordan Jackson Minnesota State SO D 33 34 3 4 7 0.09 0.12 0.21 2 1 3 0 0 0 14 28 -14 34 1.03 .088 1 0 1.000 47 16 35 1.06\nJalyn Elmes Minnesota Duluth SO D 35 35 6 16 22 0.17 0.46 0.63 3 6 9 0 3 0 23 24 -1 66 1.89 .091 2 0 1.000 46 16 35 1.00\n6 Tatum Skaggs Ohio State FR F 37 37 23 14 37 0.62 0.38 1.00 3 3 6 0 3 1 38 20 +18 127 3.43 .181 9 9 .500 24 17 34 0.92\n7 Emily Bergland Bemidji State JR F 38 38 11 13 24 0.29 0.34 0.63 2 7 9 0 3 0 25 25 E 101 2.66 .109 420 396 .515 26 9 29 0.76\n8 Rebekah Kolstad Minnesota State JR F 31 34 3 4 7 0.10 0.13 0.23 0 1 1 0 0 0 14 22 -8 44 1.42 .068 84 52 .618 24 13 26 0.84\nAlexis Joyce Bemidji State SR D 38 38 6 17 23 0.16 0.45 0.61 0 6 6 0 2 0 44 43 +1 79 2.08 .076 1 0 1.000 79 13 26 0.68\n10 Mikaela Gardner Wisconsin JR D 33 36 6 16 22 0.18 0.48 0.67 0 3 3 0 1 0 39 7 +32 60 1.82 .100 0 0 --- 31 12 24 0.73\n11 Lindsay Agnew Minnesota SO F 37 37 5 8 13 0.14 0.22 0.35 0 2 2 0 1 0 28 23 +5 67 1.81 .075 58 70 .453 7 10 23 0.62\n12 Caitlin Reilly Minnesota SR F 36 37 9 17 26 0.25 0.47 0.72 2 3 5 0 1 0 27 18 +9 95 2.64 .095 2 3 .400 9 11 22 0.61\nSam Cogan Wisconsin JR F 36 36 9 17 26 0.25 0.47 0.72 3 5 8 0 2 0 28 7 +21 113 3.14 .080 285 241 .542 18 11 22 0.61\nMaddie Rolfes Wisconsin SR D 36 36 5 15 20 0.14 0.42 0.56 0 3 3 0 3 0 42 16 +26 62 1.72 .081 0 0 --- 47 11 22 0.61\n15 Katie Robinson Minnesota SO D 31 37 2 2 4 0.06 0.06 0.13 0 0 0 1 0 0 12 11 +1 14 0.45 .143 2 1 .667 17 10 20 0.65\nHallie Theodosopoulos St. Cloud State SO F/D 33 33 8 2 10 0.24 0.06 0.30 3 0 3 0 2 0 13 25 -12 72 2.18 .111 4 4 .500 24 10 20 0.61\nAnna Keys Minnesota State SR D 34 34 1 8 9 0.03 0.24 0.26 1 2 3 0 1 0 18 35 -17 69 2.03 .014 1 0 1.000 83 10 20 0.59\nMekenzie Steffen Wisconsin SO D 36 36 2 14 16 0.06 0.39 0.44 0 7 7 0 0 0 37 12 +25 82 2.28 .024 1 0 1.000 51 10 20 0.56\nOlivia Knowles Minnesota FR D 37 37 7 13 20 0.19 0.35 0.54 2 4 6 1 1 0 50 32 +18 64 1.73 .109 1 1 .500 60 10 20 0.54\n21 Grace Zarzecki Ohio State JR F 28 37 5 3 8 0.18 0.11 0.29 1 0 1 0 0 0 12 9 +3 47 1.68 .106 29 27 .518 6 8 19 0.68\n22 Emma Turbyville St. Cloud State SR D 33 33 0 11 11 0.00 0.33 0.33 0 3 3 0 0 0 17 26 -9 19 0.58 .000 1 2 .333 58 9 18 0.55\nPresley Norby Wisconsin SO F 34 36 9 18 27 0.26 0.53 0.79 0 0 0 0 3 0 38 12 +26 123 3.62 .073 6 6 .500 0 5 18 0.53\nKiki Radke Bemidji State SO F 35 38 3 9 12 0.09 0.26 0.34 2 0 2 0 0 0 15 17 -2 72 2.06 .042 226 212 .516 15 9 18 0.51\nPaige Beebe Bemidji State FR F 36 38 7 10 17 0.19 0.28 0.47 1 1 2 0 0 0 19 23 -4 71 1.97 .099 0 2 .000 14 9 18 0.50\nSydney Baldwin Minnesota SR D 37 37 12 20 32 0.32 0.54 0.86 2 5 7 0 2 0 61 35 +26 110 2.97 .109 1 0 1.000 99 8 16 0.43\nEmily Brown Minnesota FR D 37 37 4 8 12 0.11 0.22 0.32 1 0 1 0 1 0 34 18 +16 39 1.05 .103 1 2 .333 40 8 16 0.43\n33 Taylor Wemple St. Cloud State FR D 23 33 0 2 2 0.00 0.09 0.09 0 0 0 0 0 0 3 19 -16 13 0.57 .000 0 0 --- 30 7 14 0.61\nAlexis Mauermann Wisconsin SO F 32 36 11 9 20 0.34 0.28 0.62 2 1 3 0 2 0 23 5 +18 79 2.47 .139 19 18 .514 18 7 14 0.44\nAmanda Conway Minnesota State SR F 33 34 5 3 8 0.15 0.09 0.24 0 0 0 0 1 0 13 29 -16 25 0.76 .200 2 1 .667 8 7 14 0.42\nEmma Maltais Ohio State FR F 35 37 16 24 40 0.46 0.69 1.14 2 6 8 0 5 0 44 24 +20 155 4.43 .103 145 106 .578 15 7 14 0.40\nGrace Bowlby Wisconsin FR D 36 36 0 12 12 0.00 0.33 0.33 0 4 4 0 0 0 26 6 +20 26 0.72 .000 0 0 --- 25 7 14 0.39\nMadison Field Ohio State JR F 37 37 18 11 29 0.49 0.30 0.78 3 3 6 0 4 1 34 27 +7 164 4.43 .110 20 17 .541 8 7 14 0.38\nJulianna Iafallo Ohio State SR F 37 37 12 13 25 0.32 0.35 0.68 2 2 4 1 0 0 35 17 +18 62 1.68 .194 336 343 .495 25 7 14 0.38\nLiz Schepers Ohio State FR F 37 37 7 9 16 0.19 0.24 0.43 0 1 1 0 4 0 25 16 +9 79 2.14 .089 12 12 .500 10 7 14 0.38\nDani Sadek Ohio State SR D 37 37 3 13 16 0.08 0.35 0.43 1 5 6 0 0 0 44 28 +16 106 2.86 .028 1 1 .500 75 7 14 0.38\n44 Julia Tylke St. Cloud State JR F 31 33 10 6 16 0.32 0.19 0.52 0 1 1 0 2 0 22 17 +5 72 2.32 .139 1 4 .200 17 6 12 0.39\nEmma Wittchow Minnesota State SR D 32 34 0 4 4 0.00 0.12 0.12 0 1 1 0 0 0 16 39 -23 19 0.59 .000 0 0 --- 61 6 12 0.38\nAbby Thiessen St. Cloud State SO D 33 33 3 7 10 0.09 0.21 0.30 1 2 3 0 0 0 21 24 -3 36 1.09 .083 1 2 .333 58 6 12 0.36\nLindsey Coleman Minnesota State SR F 34 34 6 5 11 0.18 0.15 0.32 1 1 2 1 0 0 17 21 -4 49 1.44 .122 82 68 .547 25 6 12 0.35\nKateřina Mrázová Minnesota Duluth SR F 35 35 8 13 21 0.23 0.37 0.60 1 8 9 0 2 0 29 20 +9 108 3.09 .074 299 311 .490 24 6 12 0.34\nLauren Boyle Ohio State JR D 37 37 4 21 25 0.11 0.57 0.68 1 4 5 0 0 0 39 27 +12 83 2.24 .048 0 1 .000 38 6 12 0.32\nJacqueline Kaasa Bemidji State SO F 38 38 8 9 17 0.21 0.24 0.45 2 1 3 0 2 0 16 20 -4 69 1.82 .116 4 1 .800 8 6 12 0.32\n52 Laura Kluge St. Cloud State FR F 30 33 7 17 24 0.23 0.57 0.80 1 5 6 0 2 0 23 19 +4 63 2.10 .111 15 25 .375 8 5 10 0.33\nKassidy Sauvé Ohio State JR G 30 37 0 3 3 0.00 0.10 0.10 0 2 2 0 0 0 72 46 +26 0 0.00 --- 0 0 --- 0 5 10 0.33\nSara Bustad Minnesota State SR F 31 34 1 3 4 0.03 0.10 0.13 0 0 0 0 0 0 8 26 -18 38 1.23 .026 19 34 .358 17 5 10 0.32\nSofia Poinar Minnesota State SO F 32 34 2 2 4 0.06 0.06 0.12 0 0 0 0 0 0 7 19 -12 27 0.84 .074 39 33 .542 5 5 10 0.31\nAlyssa Erickson St. Cloud State SR F 33 33 5 6 11 0.15 0.18 0.33 1 1 2 0 0 0 15 23 -8 58 1.76 .086 269 304 .469 6 5 10 0.30\nJordan McLaughlin Minnesota State JR F 34 34 9 8 17 0.26 0.24 0.50 0 2 2 1 2 0 19 23 -4 61 1.79 .148 95 130 .422 40 5 10 0.29\nNaomi Rogge Minnesota Duluth FR F 35 35 16 8 24 0.46 0.23 0.69 2 4 6 0 2 0 26 25 +1 125 3.57 .128 84 73 .535 16 5 10 0.29\nClaudia Kepler Wisconsin SR F 36 36 20 3 23 0.56 0.08 0.64 7 1 8 0 3 0 33 7 +26 96 2.67 .208 14 8 .636 1 5 10 0.28\nLauren Williams Wisconsin SR D 36 36 3 9 12 0.08 0.25 0.33 0 0 0 0 0 0 29 8 +21 37 1.03 .081 1 0 1.000 40 5 10 0.28\n66 Demi Gardner Minnesota State SO F 17 34 3 1 4 0.18 0.06 0.24 0 0 0 0 0 0 5 11 -6 21 1.24 .143 1 1 .500 5 4 8 0.47\nKippin Keller Minnesota SO F 28 37 2 8 10 0.07 0.29 0.36 0 0 0 0 0 0 16 15 +1 32 1.14 .062 1 1 .500 6 4 8 0.29\nTristen Truax Minnesota State FR F 30 34 4 1 5 0.13 0.03 0.17 0 0 0 0 0 0 9 24 -15 34 1.13 .118 52 83 .385 6 4 8 0.27\nRachel Herzog St. Cloud State SO D 31 33 0 3 3 0.00 0.10 0.10 0 2 2 0 0 0 11 31 -20 6 0.19 .000 1 0 1.000 35 4 8 0.26\nKayla Friesen St. Cloud State SO F 33 33 4 9 13 0.12 0.27 0.39 1 2 3 0 1 0 19 27 -8 63 1.91 .063 224 244 .479 24 4 8 0.24\nMegan Hinze Minnesota State JR D 34 34 2 7 9 0.06 0.21 0.26 2 2 4 0 0 0 21 28 -7 56 1.65 .036 1 0 1.000 49 4 8 0.24\nJacyn Reeves Ohio State JR F/D 35 37 3 5 8 0.09 0.14 0.23 0 0 0 0 1 0 14 11 +3 50 1.43 .060 13 25 .342 24 4 8 0.23\nLynn Astrup Minnesota Duluth SR D 35 35 1 1 2 0.03 0.03 0.06 0 0 0 0 0 0 3 18 -15 39 1.11 .026 19 44 .302 29 4 8 0.23\nLisa Bruno Ohio State FR D 36 37 0 4 4 0.00 0.11 0.11 0 0 0 0 0 0 27 14 +13 13 0.36 .000 0 0 --- 31 4 8 0.22\nSophie Skarzynski Minnesota JR F/D 37 37 8 19 27 0.22 0.51 0.73 1 4 5 0 0 0 29 20 +9 68 1.84 .118 196 167 .540 17 4 8 0.22\nJincy Dunne Ohio State SO D 37 37 2 24 26 0.05 0.65 0.70 2 7 9 0 0 0 46 24 +22 78 2.11 .026 1 0 1.000 69 4 8 0.22\nTaylor Wente Minnesota FR F 37 37 11 14 25 0.30 0.38 0.68 1 4 5 0 3 0 41 21 +20 46 1.24 .239 342 337 .504 14 4 8 0.22\nClair DeGeorge Bemidji State FR F 37 38 7 16 23 0.19 0.43 0.62 3 1 4 0 1 0 25 31 -6 76 2.05 .092 220 295 .427 19 4 8 0.22\nAlex Woken Minnesota SO F 37 37 10 12 22 0.27 0.32 0.59 3 0 3 0 3 0 25 18 +7 106 2.86 .094 8 8 .500 21 4 8 0.22\nRebecca Freiburger Ohio State SO F 37 37 6 2 8 0.16 0.05 0.22 1 0 1 0 2 0 11 13 -2 48 1.30 .125 22 30 .423 27 4 8 0.22\nErin Langermeier Ohio State JR F 37 37 0 0 0 0.00 0.00 0.00 0 0 0 0 0 0 2 5 -3 7 0.19 .000 42 57 .424 6 4 8 0.22\n84 Aubrey Pritchett St. Cloud State FR F 10 33 0 1 1 0.00 0.10 0.10 0 0 0 0 0 0 1 3 -2 2 0.20 .000 5 10 .333 1 3 6 0.60\nKenzie Wylie St. Cloud State FR D 11 33 0 0 0 0.00 0.00 0.00 0 0 0 0 0 0 3 6 -3 2 0.18 .000 0 0 --- 8 3 6 0.55\nHeather Olson Bemidji State SO D 26 38 0 0 0 0.00 0.00 0.00 0 0 0 0 0 0 6 13 -7 27 1.04 .000 0 0 --- 17 3 6 0.23\nHannah Potrykus St. Cloud State JR F 29 33 4 1 5 0.14 0.03 0.17 2 0 2 0 0 0 7 18 -11 62 2.14 .065 9 12 .429 12 3 6 0.21\nJanna Haeg St. Cloud State SO F 32 33 2 2 4 0.06 0.06 0.12 0 0 0 0 1 0 8 24 -16 19 0.59 .105 116 89 .566 11 3 6 0.19\nLiv Halvorson Ohio State SR D/F 32 37 0 3 3 0.00 0.09 0.09 0 0 0 0 0 0 12 10 +2 13 0.41 .000 0 0 --- 15 3 6 0.19\nSophia Shaver Wisconsin JR F 33 36 12 12 24 0.36 0.36 0.73 3 2 5 0 3 0 27 10 +17 96 2.91 .125 269 232 .537 16 3 6 0.18\nJessica Kondas Minnesota State FR D 33 34 1 2 3 0.03 0.06 0.09 0 0 0 0 0 0 8 33 -25 26 0.79 .038 0 0 --- 67 3 6 0.18\nMaddie Rowe Wisconsin SO F/D 34 36 7 11 18 0.21 0.32 0.53 0 1 1 0 0 0 26 9 +17 58 1.71 .121 5 2 .714 6 3 6 0.18\nTina Kampa Bemidji State FR D 34 38 2 4 6 0.06 0.12 0.18 0 1 1 0 1 0 20 23 -3 20 0.59 .100 0 0 --- 64 3 6 0.18\nCaitlin Schneider Wisconsin FR F 36 36 5 7 12 0.14 0.19 0.33 0 0 0 0 3 0 22 6 +16 49 1.36 .102 0 1 .000 3 3 6 0.17\nNicole Schammel Minnesota JR F 37 37 17 15 32 0.46 0.41 0.86 4 4 8 0 1 0 39 22 +17 115 3.11 .148 9 13 .409 15 3 6 0.16\nPatti Marshall Minnesota SO D 37 37 2 15 17 0.05 0.41 0.46 0 5 5 0 1 0 38 23 +15 54 1.46 .037 0 0 --- 53 3 6 0.16\n103 17 Players Tied With 4


1. LYONS 90 8.41\n2. BASLE 79 7.38\n3. SAINT-PETERSBURG 56 5.23\n4. Neuchâtel 53 4.95\n5. STOCKHOLM 52 4.81\n6. NAPLES 48 4.49\n7. VERSAILLES 45 4.21\n8. TURIN 45 4.21\n9. LAUSANNE 39 3.62\n10. MOSCOW 35 3.30\n11. VENICE 29 2.71\n12. CHAMBÉRY 28 2.62\n13. LUNÉVILLE 28 2.62\n14. GENEVA 26 2.43\n15. LISBON 26 2.43\n16. WARSAW 26 2.43\n17. BESANÇON 25 2.34\n18. LONDON 24 2.24\n19. MONTPELLIER 23 2.15\n20. NANCY 19 1.78\n21. HAMBURG 19 1.78\n22. VIENNA 15 1.43\n23. MARSEILLES 15 1.40\n24. ORLÉANS 12 1.12\n25. FRANKFURT-on-MAIN 12 1.10\n26. PARIS 11 1.03\n27. MANNHEIM 11 1.03\n28. LUXEMBOURG 10 0.93\n29. YVERDON 10 0.93\n30. COPENHAGEN 10 0.91\n31. LOCLE, Le 9 0.84\n32. BRUSSELS 8 0.75\n33. STRASBOURG 8 0.75\n34. MÜNZ 8 0.75\n35. WESEL 7 0.65\n36. HOMBOURG 6 0.56\n37. MADRID 6 0.56\n38. FLORENCE 6 0.56\n39. BOURGES 6 0.56\n40. DUBLIN 6 0.56\n41. NEUWIED 6 0.51\n42. BERNE 5 0.42\n43. TROYES 4 0.37\n44. ROCHELLE, La 3 0.28\n45. COLOGNE 3 0.28\n46. ULM 3 0.28\n47. CASSEL 3 0.28\n48. unknown 3 0.28\n49. POITIERS 3 0.28\n50. RENNES 3 0.28\n51. MELUN 3 0.28\n52. DIJON 3 0.28\n53. ZURICH 3 0.28\n54. BELFORT 3 0.28\n55. COLMAR 2 0.19\n56. SOLOTHURN 2 0.19\n57. BORDEAUX 2 0.19\n58. LEUVEN 2 0.19\n59. PAVIA 2 0.19\n60. SAARLOUIS 2 0.19\n61. LOUDUN 2 0.19\n62. ALTDORF 2 0.19\n63. RHEIMS 2 0.19\n64. PRAGUE 2 0.16\n65. LEIPZIG 1 0.09\n66. TONNERRE 1 0.09\n67. VEVEY 1 0.09\n68. SALINS-les-BAINS 1 0.09\n69. BERGAMO 1 0.09\n70. BERGARA 1 0.09\n71. AMIENS 1 0.09\n72. BÉMONT, Le 1 0.09\n73. NIMES 1 0.09\n74. MUNICH 1 0.09\n75. WINTERTHUR 1 0.09\n76. PLANCHETTES, Les 1 0.09\n77. DRESDEN < 1 0.07\nTotals 1,070 100.00