Lebensmittel retten: Zu gut für die Tonne! Ab in den Schrank!\nDies und das und, ja, auch Ananas gibt es manchmal im Schrank an der Marienstraße 43 in Holtum: Angela Gerards ist es eine Herzensangelegenheit, Lebensmittel nicht verkommen zu lassen, sondern sie mit anderen zu teilen. Foto: Mirja Ibsen\nWegberg-Holtum Lebensmittel retten, das ist auch im Kreis Heinsberg Trend. In Holtum bringt das Prinzip des Teilens die Nachbarschaft zusammen.\nmmmH, haSoekcodl imt !trkziLa Na utg, ads its ähtaclhsitc aswte rfü nazg ezselilp tvegrelnaa mscpnsnao.ekshekcG cihtN tshegecin itnebg,d rndsoen heer aciho.sgfger Je triwee hindcörl anm shci ndeeifbt, sodet ecschlirairehwhn its es, eine engZu imt niere beoeVilr für eside ngMcshiu uz nn.efid rHetgb-Wmeulgo leigt düraf eeitlhilvc cnieahf nei iweng uz twie hc.elwsit Dshelba tis ied nalcalSoheetokdf uas der hdccsshewien rdnkuPotoi nohc icnht vharsentc dun telig zetjt na mneie flnticföheen nhÖ,rtec idatm esi rotd ein indufLatrrkez rode iene nikanrezLitudfr dnnife dun hnnmmetie ak,nn nnde neewwferg ewrä aj zu dahesc\nGenua sau desmie urndG shtet dre lksrhcnhaKü an der ßiarearMesnt 34 ,Htmolu itkedr bnene ieenm netsabil Ragle itm fnfenoe ieK,nst in ednne leirelal ,ilgte dsa vlei zu shdace tis umz engref.Wew aeDbrür ,ehstt aws rehi trsspiea, änlihmc t.smbe“inet„telenrLtug\n21 enMilnoli nTneno bsmenelittLe dnanle in ascutDedhln lcihjräh im ül,lM ath ads mimdutuisnseernBi frü rrguänhnE nud ahtinarftLswcd teitmtlre dnu strbeie mi hJar 1022 edi edwsnbeiute tkonAi uZ„ utg frü die ne“Tno sni enbLe nfe.rgeu Mti Rene,ezpt E-i,akunfs -,rapS nud Lnpgpsertuiags und leiv Aärknfuulg lliw ads resMitnmuii dsa n.näred\nStie semide ahrJ ibgt es gsoar ineen elaInantinnreto aTg red fAmtuairmkkees für revsutetstblnmleeieL und d-ecneh.wrnvusg eretiefG irwd rde ma 92. rtSebe.mpe leBbet wdri edi tokAni baer chau onv neaivrtp n,intevatiIi dei chis enehihctralm aumdr kmrm,enü dass uz live ,eiuroeprtdz uz ivle t,eguefak uz vlie getnteeer Lsbtelntimee dnu ehsMcnne imt Beadrf diuazeernn nnde.if Frü esochl ietnntIiiva gibt se nretu daeremn end eseusrpBind ürf hbrsctemwugittnL,eäzsnelet rüf dne hsci hacu eutteiPvlra eewbrebn ne.nknö\nmU olsch neeni erisP ehgt se areb nglaAe eadrsG dnu mhire Mann iErhc arbpethuü cnt.hi eSi ownneh ni mde ,foH an essend rueeaußnmA rde baetsil nchkaSr tmi enierkeecL thst.e Es sie rhi neei„ leeazr“htgenegsineen,H astg agnelA adseGrr, dass btsteelmeniL nihtc cwenrhedstev enwrde. dUn eis eis hacu ntcih eid iginEez, dei in bergWge edi ekgMcthöiil eebtt,i ihcs snoetksol imt tneLmilbentse uz e.nrevsgor\nuhAc na der krcaerbHe tßraSe 41 ndu an erd ßtesBgarre 8 in gWegrbe wneder erßeäimlgg die aeRegl nvo anetgierneg retroFtdeon .ftlülbe iEigne nov neihn rfahen ietwe Skecnetr rfü irhe imantrhheleec iosRnn,umttgisse ndu zarw tihnc run uz peäurrntSek.m cizhülKr rudwe so uhac erd halnIt enies sneneauaellgf üsniehhkkslaTrcef ere.gtett\naglenA dGserra täsls sad tAuo niemesst hete.ns urN zru agie,ueBettr eid ied “vöMhcne„ ovm eBugtate bedhnastice dnu rfü ies hb,etafuarw fhrtä ,sie iewl ied nrKedi mvo Stpezlapil dnna immre ptgeinlpaert mekmon, lbsdoa das dtdefneu Gckbäe mi nkharcS teilg ndu lcükgclhi mti mde eBertndo in erd sutFa donav nres.pziea\nenngfaegAn tah ied teetirRe eib imFiela sGrader mit inrhe sne.alüsWn Es waern aiefnch uz ileve. Älepf retetn eid mieliaF huca rimem he,rm lsa ies esnes und nneoihkec nkan.\nreD rVoltei ibe liaFeim eardrsG i:st „sWa ticnh lgteobha id,rw önknen rwi an eid dfePer udn ysPon ür,rvetntef dun es tkmom ucah ein er,Hr red Hünreh “,aht rtezhäl iEhcr Grsae.rd uNr nBneaan reüntfd ied onPsy ni erd azgsriTtnneii chint oeb.memkn ?Wraum Da„s werä gpDn“o,i errläkt red cehdathclenfselii esfurrhKneah.ct rE ath iveel Peesir eeir,afghenn tuner erdeamn war er ceiheiRnhrs ireetsM mi prnVeno-yPni.ersä einSe nKehtscu aeutb hsic der lnergtee roslScehs iesnsmet betss.l üFr nesie Frua ninee Sakhrcn zu uean,b tidam tah er baer zet,göegr ielw re tl,olwe dsas se kteferp ,its dnu se lefteh eni lemKhtnüle.e nW„ne hci dsa ,hamce ndan chaem hci es rgc,iht“i tsaeg .er\nrAbe sneie Faru Aegaln ist tug teretnzv. lsA sei eenin düuhecnsilarkrntkhIs nvo iemne Banenktne negceshkt mbake, mhecat shci rhcEi saGderr hdoc nas kWer. ndU als esnei ruaF flteee,tstsl assd cihs tesErl und Kzeta na nde iestKn beeenidtn a(ds dFevi)eehr udn darin feicelhsn (dei fmSotp,)eat da eubta er chau chon neie rüT rov sad llgetlaeMar und nmietroet Saoneechlultr dearür,b datmi acuh mi brsetH asd otegbnA tug uz hsnee ist.\ntroD eligt ,tztej aws eein knaeBetn aus ieren brpdtokuÜnoeri ibtmtgnri dore ide abhrnacN so rübgi bnae.h i„eEn liFiaem athet für rinhe tanel, nkrknae nduH mirme Rsei ktgecoh,“ eträlzh ied mrH.unoilet lAs„ dre nudH ras,tb bag es nkniee in der amlii,Fe rde iRse m“toh.ce ieD enirbüg gknPuaenc naetlend im gale,R bneen Otsb dun oBrt ndu ,mGeesü rmafechlHi udn üTnet mit etsüpbOer üfr erniK.d\nberA cnthi run di,e ide tseaw eere,ginnl insd etretR, ndeosnr huca ied, edi awets unnrseah,me dnen edi Lmebtenstlei llesno ihillheccßs tzetugn e.wrdne leeVi nsdi uas emd rt,O ieiegn rafenh aebr uahc ,wrteie um mi trHmelou hSckanr zu rsebtnö. nA nhcaenm Dingne sit das mtteksttdsbrieuaMldanhia abeaelu,ngf cnhekemsc utn ies mztdtroe .onch urN emögn susm nma sie alth, os ewi aShceookld mit ezk.Latri


BTA06T-600CWRG - Triac 6A 600V 35mA TO220AB\nWE-PD - SMT-Speicherdrossel, 220uH, IDC=0,43A, Isat=0,42A\nRN73-001K - Widerstand Nickel-Chrom 0805 1K 0,1W 0,1% 10ppm\n30465 - LED-Lampe für G4 Lampensockel Leuchtfarbe weiss\nPAUL Display - 12-Tasten-Display für Paul Wärmerückgewinnungsgeräte\nART.AGT-252 - IPA Isopropanol Isopropylalkohol Aktivreiniger Reinheitsgehalt 99,9% 500mL\nART.AGT-105 - IPA Isopropanol Isopropylalkohol Aktivreiniger Reinheitsgehalt 99,9% 500mL\nMX-53047-1015 - Micro 1.25mm 15polig gerade\nSR26NS1112M10 - Drehschalter 1x12 Lötösen nicht brückend\nB3F-1020 - Mini-Taster print lgd. 5,0mm 1N SPST-NO 0.05A 24V\nT13-211R-18 - Geräteschutzschalter 18A\nB3F-1052 - Microschalter SPST-NO 24VDC 0.05A Horizontal 6x6 7.3mm 1.47N\nMPRLS0025PA00001A - Sensormodul 0-20Psi absol. I2C Ausgang\nSFH309FA-3/4 - Foto-Transistor 3mm 730-1120, 12° 35V 1nA\nABL27 - LED Arbeitsleuchte 24+3\nALL GRIP GN - Klettband-Kabelbinder im Spender grün\nALL GRIP-Refill RBK - Klettband Nachfüllset schwarz 2x2,5m\nALL GRIP-Refill RGR - Klettband Nachfüllset grün 2x2,5m\n51608-25/25 - TESA KFZ Gewebeband mit Vlies 25mm x 25m PET-Wolle schwarz\nPJ5001-Y - Krokodilklemme 2mm 5A 70VDC Länge 42mm gelb\nPJ5001-RT - Krokodilklemme 2mm 5A 70VDC Länge 42mm rot\nPJ5001-G - Krokodilklemme 2mm 5A 70VDC Länge 42mm grün\nUVP 2,856 EUR\nIhr Preis 1,428 EUR\nPJ5001-B - Krokodilklemme 2mm 5A 70VDC Länge 42mm schwarz\nPJ5001-BU - Krokodilklemme 2mm 5A 70VDC Länge 42mm blau\n68857 - CAT, USB, BNC Leitungstester Netzwerktester für RJ11, 12, 45\nPCH-112D2H.000 - 1U Spule 12VDC Kontakt 5A/250VAC\n36.11.9.005.4011 - Relais 1xU 10A 5V 70R\nG3MB-202P-B1 - 5V OMRON Solid State Relaismodul für Arduino\nMP3X2N022M275-15 - Entstörkondensator 22nF 275V RM15\nHC-SR04 - Arduino Ultraschallmodul HCSR04\nLM2596-B - DC Step-Down, justierbarer Leistungsregler\nM48T18-100PC - Timekeeper 8Kx8 100ns 0-70° DIP28\nSD-CARD - SD Memory Card Module Slot für Arduino PIC ARM\nTS78M15CZ - U-Reg +15V 0,5A TO220\nRCIE000,22 - Draht 5W 10% 0,22R


1. Mannschaft - 2018/2019 - 6. Spieltag - FC Obermais Raiffeisen Meran\n1. Mannschaft – 2018/2019 – 6. Spieltag\nDro Lavis 0 0\nCalciochiese Vipo Trient 1 1\nArco 1895 FC Obermais 1 2\nLana Eppan 5 2\nNaturns Anaune Val di Non 0 4\nRotaliana St. Martin Moos 3 1\nSt. Pauls Tramin 2 0\nBrixen Comano 3 1\n1 Lavis 14 6 4 2 0 12 2 10\n2 Lana 12 6 4 0 2 13 8 5\n3 Dro 11 6 3 2 1 10 4 6\n4 St. Martin Moos 11 6 3 2 1 8 5 3\n5 St. Pauls 10 6 2 4 0 13 7 6\n6 Vipo Trient 10 6 2 4 0 9 4 5\n7 Brixen 10 6 3 1 2 11 10 1\n8 Arco 1895 9 6 2 3 1 5 4 1\n9 FC Obermais 9 6 3 0 3 9 9 0\n10 Anaune Val di Non 7 6 1 4 1 8 6 2\n11 Rotaliana 7 5 2 1 2 7 11 -4\n12 Tramin 6 6 2 0 4 9 11 -2\n13 Calciochiese 5 6 1 2 3 8 12 -4\n14 Comano 4 5 1 1 3 8 12 -4\n15 Naturns 3 6 1 0 5 2 15 -13\n16 Eppan 0 6 0 0 6 5 17 -12\nDamen Serie C – 2018/2019 – 4. Spieltag Damen Serie C – 2018/2019 – 3. Spieltag


на́прочь - LEO: Übersetzung im Russisch ⇔ Deutsch Wörterbuch\nна́прочь Adv. ganz und gar\nна́прочь Adv. total\nна́прочь ratzekahl [ugs.]\nподчисту́ю, целико́м, по́лностью, ко́нченный, компле́ктный, во́все, тота́льный, совсе́м, соверше́нно, всеце́ло\nнар.напрочьнапрочьнапрочьganzganzganzganzна́прочь нар.напрочьнапрочьнапрочьdurchausdurchausdurchausdurchausна́прочь нар.напрочьнапрочьнапрочьganz und garganz und garganzundgarganzundgarна́прочь нар.напрочьнапрочьнапрочьkomplettkomplettkomplettkomplettна́прочь нар.напрочьнапрочьнапрочьtotaltotaltotaltotalна́прочь напрочьнапрочьнапрочьratzekahl [ugs.]ratzekahlratzekahlratzekahl\nNutzungsbedingungen / DatenschutzImpressum309.137 Einträge, 74.410 AnfragenSuchtipps FAQ - Frequently Asked QuestionsCopyright © LEO Dictionary Team 2006 - 2021leo22. CPU µs: 72000/4000


TRANSFORMER WATTS 120 TOY TRAINMASTER TRAINS LIONEL okpaab6c77165-Transformers - heatpumppricesreviews.com\nTRANSFORMER WATTS 120 TOY TRAINMASTER TRAINS LIONEL okpaab6c77165-Transformers\nLot of 3 - HO Scale WALTHERS 910-1415 1416 & 1417 RUTLAND 40' Boxcars Lot 27 rail voies ROCO LINE 42510 BWr WR WL15 42512 42519 42252 42202 42222\nLot 3-124 N Scale 4 x Downtaown Deco Kits, Addams Ave Pt 1, 2 & 3 + Bingo's\nLot 3-143 N Scale Kato 176-1107A F3A, Union Pacific Nice w Box\nLot of 3 HO Scale Cable Cars Main Street 65 Nob Hill 61 Broadway 137Lot of 3 New Amtrak HO Gauge Models 8241, 8079, 8090\nLot of 3 Walthers N Scale Freight Car PD Covered Hopper Trinity Demo Luzenac LOT 35725 Die seltene Fleischmann H0 1330G E-LokEe 3 3 der SBB fahrbereit Box\nFire Brand RC ALPHADOG–RTX 1 8 OFF ROAD RACE TREAD WHEEL TIRE SET (4)\nFOLKMANIS Timber Wolf Plush Large Toy HAND PUPPET Husky Dog Classroom Pet\nHRATE12HX01 Hot Racing Aluminum Transmission Case (2WD Slash Rustler Stampede)\nLot 3-64 N Scale Kato 176-5609 SD90 43MAC, UP Nice w Case\nLot of 4 K-Line K-64234 Santa Fe SF ATSF Classic Map Box Car, O27 O Scale\nLOT 39317 Pola G 391901 Lanz mit Mähwerk 1 22,5 Bausatz NEU in OVP\nLot of 5 Accurail HO Scale 50' Boxcar Kits - Southern ATSF CSX\nLot of 5 N Scale intermountain BNSF 5277Cu Ft Box Car - NIBLot of 6 1 35 Trumpeter Models - Open Boxes\nLot of 6 Roco Mine Dispersal Tractors w original box - HO\nLot 4 HO Scale Billboard Adgreenising Hamms Budweiser Blatz Pearl Beer train carsLot 4092 Lionel Southern Pacific Einzelkuppel-Tankwagen (single dome tank), OVPLOT 42925 Schöne Roco H0 4112 Dampflokomotive BR 58 der DB in OVPLOT 46679 Schöner Fleischmann H0 5081 Mitropa Speisewagen 798 brown in OVPLOT 48431 Neuwertige Fleischmann 7331 E-Lok BR 139 der DB Cargo Spur N in OVP\nLot Of 7 New Branchline blueeprint HO 40’ Boxcars (See Pics. For Model Details) LOT 49157 Schöne Arnold 2325 E-Lok BR 111 der DB Spur N in OVPLOT 49959 Sehr schöne Märklin H0 3029 Tenderlok 500 F black in OVPLOT 50053 Schöne Märklin H0 3496 Tenderlok Mallet BR 96 der DRG digital in OVPLOT 51422 Schöne Fleischmann N 7093 Tenderlok BR 94 der DR fahrbereit in OVP\nLot Of 8 -Vintage Reader's Digest Southern Pacific Train Miniatures-N Scale-NIB\nLOT 52533 Schöne Fleischmann N 7382 E-Lok BR 151 der DB red in OVP\nLot of Four HO Scale Engines and Eleven Cars\nLOT 52775 Schöne Fleischmann H0 1351 Dampflok BR 55 der DB in OVPLOT 53161 Schöne Fleischmann H0 4016 Tenderlok 70091 der DBLOT 53709 Fahrbereite Märklin H0 3001 E-Lok BR E63 02 in OVPLOT 54408 Fahrbereite Fleischmann H0 4235 Diesellok BR 221 der DB in OVPLOT 54926 Faller HO 191736 Öhlermühle öhler mill Bausatz NEU in OVP\nLot 7-299 G Gauge USA Trains 48th National TCA Convention Midwest 2002 w BoxLot 8 wagons Marklïn HO 4509 4524 4505 4502 4503 4620 4512 4514LOT DE 10 RAILS VOIE DROITE MARKLIN 24188 TRAIN HO NEUF BOITE 188,3 MM RETCHELOT DE 6 RAILS VOIE COURBE MARKLIN 24230 TRAIN HO NEUF BOITE R2 437,5 MM 30°Lot Fantasy Loose Mini Dwarf & Halfling Collection NM\nLOTR Adventures in Middle earth rpg loremaster's guide book rulebook 5th edition Ann Vaughan\nLotr Middle Earth Tabletop Easterling Army\n“ITEMS ARE PRICED TO CONDITION”\nVintage (Y/N): Yes Control: Analog\nLot Historical Loose Mini Javelin Warrior Collection NM Lot Historical Loose Mini WWI Officers Collection NMLot N Gauge Train Engine Life Like Burlington Northern 2098 Santa Fe 215 3500 +Lot of 10 1 35 Model M101A1 Artillery RSOV W Mk 19 Plus US Army USMC & Gear KitsLot of 10 Tamiya 1 35 Military Miniatures Model Kits German,\nLot of 14 Vintage O Scale Locomotive Wheels Model Engineering Works\nLS Models 47304 SBB CFF FFS 1. Kl EUROFIMA-Wagen 9 Abt A9 grey dunklgrey Ep5 NEU\nLS MODELS 49137 Camas Tipo SG librea blue 1968 marco corto techo bajo SNCFLS Models 79046.1, Spur N, CNL Bpm 875.0 , red-weiss Ep. 5b-6, LS 79046.1\nLS MODELS HO VOITURE RESTAURAN TEE MISTRAL 69 REF 41003-2 EN BOITE D'ORIGINELudwig Conrad LC 1145 Box Of Two Push Button Contact Switch HO Gauge Railway W15Lunde Studios 26 HO McAdam Building Kit\nLot of 18 Pumpkins HO Scale & 250 Fall Mixed Branches\nLOT OF 2 FAO black - 34-Piece Motorized TRAIN SET - Complete BRAND NEW Nice\nheatpumppricesreviews.com Lot of 2 Pegasus Hobbies V-1 Flying Bomb (1 Kit No.8803 & 1 model No.8903) MIB Lot of 20 Alloy Forms 132, Billboard with Signs, Metal Detail Parts, N Scale


(1364) Eloisa schrieb am 15. Dec 18, 13:43\n(1363) Bobbye schrieb am 15. Dec 18, 13:41\n(1362) Kathleen schrieb am 15. Dec 18, 13:30\n(1361) Addie schrieb am 15. Dec 18, 13:25\n(1360) Royce schrieb am 15. Dec 18, 13:22\n(1359) Tilly schrieb am 15. Dec 18, 13:19\n(1358) Shilki Rai schrieb am 15. Dec 18, 13:14\n(1357) sayna Nandy schrieb am 15. Dec 18, 13:14\n(1356) Priya Sharma schrieb am 15. Dec 18, 13:14\n(1355) Nupur Kour schrieb am 15. Dec 18, 13:14


Category:Images from Wiki Loves Earth 2019, DE-HB - Wikimedia Commons\nCategory:Images from Wiki Loves Earth 2019, DE-HB\nDeutsch: Wettbewerbsbeiträge für Wiki Loves Earth 2019 aus der Freien Hansestadt Bremen (Bremen und Bremerhaven). – Bitte die Bilder zusätzlich noch mit inhaltlichen/räumlichen Kategorien versehen, siehe v.a. Category:Protected areas of Bremen (state).\nUpload your photos in May 2019\nMedia in category "Images from Wiki Loves Earth 2019, DE-HB"\nBlockland-Bremen Bäume Spiegelung Abendstimmung.jpg 5,616 × 3,744; 15.19 MB\nBlockland-Bremen Kuh Morgenstimmung.jpg 5,616 × 3,744; 5.6 MB\nBlockland-Bremen Kühe Spiegelung.jpg 5,616 × 3,744; 20.93 MB\nBlockland-Bremen Schwäne.jpg 5,616 × 3,744; 14.24 MB\nBlockland-Bremen See Morgenstimmung 01.jpg 5,616 × 3,744; 8.83 MB\nBlockland-Bremen See Morgenstimmung 02.jpg 5,616 × 3,744; 8.52 MB\nBlockland-Bremen Wümme Morgenstimmung 02.jpg 5,616 × 3,744; 9.28 MB\nBremen,Blockland,Naturschutzgebiet,IMG 2078 (2).jpg 5,184 × 3,456; 2.23 MB\nBremen,Blockland,Naturschutzgebiet.jpg 5,184 × 3,456; 2.82 MB\nDas Ruschdahlmoor 1.jpg 2,592 × 1,456; 1.12 MB\nDas Ruschdahlmoor 2.jpg 3,264 × 1,836; 1.77 MB\nDas Ruschdahlmoor 3.jpg 3,533 × 1,919; 1.8 MB\nFallen down after storm.jpg 6,000 × 4,000; 9.75 MB\nIMG-20190521-WA0013.jpg 1,600 × 900; 451 KB\nNaturschutzgebiet "Borgfelder Wümmewiesen" in Bremen.jpg 3,024 × 4,032; 5.4 MB\nNaturschutzgebiet Wümmewiesen.jpg 4,552 × 2,071; 2.04 MB\nNeueWeser01.jpg 4,608 × 2,176; 6.93 MB\nNeueWeser02.jpg 4,608 × 2,176; 9.09 MB\nVogelschutzgebiet Uniwildnis Bremen Deutschland.jpg 4,160 × 3,120; 5.83 MB\nWestliches Hollerland im Winter.jpg 4,032 × 3,024; 3.81 MB\nWestliches Hollerland.jpg 4,032 × 3,024; 2.85 MB\nRetrieved from "https://commons.wikimedia.org/w/index.php?title=Category:Images_from_Wiki_Loves_Earth_2019,_DE-HB&oldid=345905502"\nLast edited on 14 April 2019, at 14:59\nThis page was last edited on 14 April 2019, at 14:59.


Saarländisches Denkmalschutzgesetz – Archivalia\nAutor Klaus GrafVeröffentlicht am 24. Mai 2005 Kategorien Kulturgut\nZurück Vorheriger Beitrag: ITS-Archiv öffnen!\nWeiter Nächster Beitrag: Überlieferung der Opposition und Bürgerbewegungen in der DDR


Votes: 1,802,544 | Gross: $330.25M\nVotes: 373,184 | Gross: $85.08M\nVotes: 438,196 | Gross: $426.83M\nVotes: 371,560 | Gross: $190.24M\nVotes: 380,137 | Gross: $209.73M\nVotes: 141,061 | Gross: $132.42M\nVotes: 471,141 | Gross: $84.35M\nVotes: 683,099 | Gross: $91.13M\nVotes: 591,912 | Gross: $100.55M\nVotes: 27,449 | Gross: $24.62M\nVotes: 262,599 | Gross: $172.56M\nVotes: 192,829 | Gross: $5.02M\nVotes: 133,553 | Gross: $270.40M\nVotes: 161,723 | Gross: $41.19M\nVotes: 295,212 | Gross: $163.96M\nVotes: 76,742 | Gross: $171.96M\nVotes: 402,806 | Gross: $35.89M\nVotes: 813,235 | Gross: $289.92M\nVotes: 404,894 | Gross: $200.82M\nVotes: 176,835 | Gross: $88.76M\nVotes: 301,802 | Gross: $119.39M\nVotes: 79,897 | Gross: $120.63M\n31. Çukur (2017– )\nVotes: 480,222 | Gross: $241.06M\n33. Jingle Jangle: A Christmas Journey (2020)\nVotes: 446,555 | Gross: $56.36M\nVotes: 184,212 | Gross: $61.28M\nVotes: 135,343 | Gross: $81.90M\nVotes: 130,997 | Gross: $201.09M\nVotes: 797,314 | Gross: $141.32M\nVotes: 54,007 | Gross: $76.23M\nVotes: 594,221 | Gross: $309.42M\nVotes: 244,147 | Gross: $182.21M\nVotes: 579,392 | Gross: $124.99M\n45. Hilda (2018–2020)\nVotes: 35,278 | Gross: $115.25M\nVotes: 286,829 | Gross: $72.31M\nVotes: 44,896 | Gross: $12.23M


Version vom 15. März 2007, 15:14 Uhr (Quelltext anzeigen)\nVersion vom 16. März 2007, 08:05 Uhr (Quelltext anzeigen)\n* Störanalyse Systeme\nVersion vom 16. März 2007, 08:05 Uhr


1x Lupe Crafts Glas Schreibtischlampe mit 5X 10X Lupe mit 40 LED Light—QY | eBay\nDetails zu 1x Lupe Crafts Glas Schreibtischlampe mit 5X 10X Lupe mit 40 LED Light—QY\n1x Lupe Crafts Glas Schreibtischlampe mit 5X 10X Lupe mit 40 LED Light—QY\n03. Jun. 2019 09:33:26 MESZ\n25_c34hqyj (27627 )\n1x Lupe Crafts Glas Schreibtischlampe mit 5X 10X Lupe mit 40 LED Light X\nschnurlose faltbare lampe usb - licht licht zum lesen schreibtisch - lampen\n2X(Led Schreibtischlampe Auge Pflege Tischlampen Dimmbare Buero Lampe Mit U C4R7\nLeseleuchte mit Lupe Stehlampe Büro Leuchte Schreibtisch Stand Lampe mit Flexarm\nStecker EU, Led Auge Schützen Dimmbare Schreibtischlampe Led Faltbare Leset O8N2\n1X(LED Elektrische Lupe Multifunktion Maschine Lötkolben Halter Tisch Lupe K9P4\nLetzte Aktualisierung am 22. Mai. 2019 09:13:47 MESZ Alle Änderungen ansehen\nUPC: 701828590888 Country/Region of Manufacture: China


Leitz 1901-00-35 Beschriftungsschilder 4zlg. blau 60mm breit 100 Stück - Bürobedarf Thüringen\nLeitz 1901-00-35 Beschriftungsschilder 4zlg. blau 60mm breit 100 Stück\n1901-00-35 Beschriftungsschilder 4zlg. blau 60mm breit 100 Stück\nLeitz 1901 Blanko-Schildchen 1901, Karton, 100 Stück, blau • Farbe blau\nArtikel-Nr.: LEI1901BL | Lieferant wählen Lieferzeit: sofort lieferbar ¹⁾\nSoOn sofort lieferbar ¹⁾ 1,95 €\nStaples sofort lieferbar ¹⁾ 2,80 €\nweiß gelb rot orange grün blau\nFür Vollsichtreiter LEITZ® 6114, 6115, 6116, 6124.\n• System: für ALPHA® / BETA®\n• B x H: 60 x 21 mm\nJetzt, Beschriftungsschilder 4zlg. blau 60mm breit 100 St, günstig kaufen.\nÖsen für Öszange EP30 4x3,2mm...\nPapierhandtücher 100288 Xpress...\nJetzt Leitz 1901-00-35 Beschriftungsschilder 4zlg. blau 60mm breit 100 Stück günstig kaufen.


National Origin in 2nd Bristol District, Massachusetts (Lower State Legislative District)\n0%20%40%60%80%CountCitizen, US-BornCitizen, Territory-BornCitizen, Territory-B…1Citizen, Born Abroad2Citizen, NaturalizedNot Citizen88.789822%81.521751%88.789822%88.8%35,45235.5k0.408235%1.810789%0.408235%0.4%1630.791425%0.923786%0.791425%0.8%3166.772190%8.220339%6.772190%6.8%2,7043.238329%7.523335%3.238329%3.2%1,293\n0%2%4%6%8%10%CountPortugalGuatemalaIndiaHaitiEl SalvadorCambodiaCanadaDominican RepublicVietnamUnited Kingdom10.182637%5.169196%10.182637%10.2%4079.357018%2.499385%9.357018%9.4%3748.081061%5.842796%8.081061%8.1%3236.154616%4.833432%6.154616%6.2%2465.754316%3.473609%5.754316%5.8%2305.053790%1.324307%5.053790%5.1%2025.003753%2.867745%5.003753%5.0%2003.677758%7.583416%3.677758%3.7%1473.352514%3.310908%3.352514%3.4%1343.027270%2.239743%3.027270%3.0%121\nMap of National Origin by Tract in 2nd Bristol District\n79.4% 82.3% 85.1% 88.0% 90.8% 93.7%\n1.2% 1.8% 2.4% 2.9% 3.5% 4.0%\nNational Origin by Place in 2nd Bristol District\n0%20%40%60%80%Count#ZIP Code 02703ZIP 02703AttleboroAttleboro School DistrictAttleboro2nd Bristol DistrictMA-2nd BristolBristol CountyBristolUnited States of AmericaUnited StatesNew EnglandProvidence and Warwick Metro AreaProvidenceNortheastMassachusetts88.853380%88.853380%88.9%39,20339.2k88.853380%88.853380%88.9%39,20339.2k88.853380%88.853380%88.9%39,20339.2k88.789822%88.789822%88.8%35,45235.5k85.515834%85.515834%85.5%474,500475k85.271589%85.271589%85.3%271,639,606272M84.800972%84.800972%84.8%12,439,35212.4M84.730505%84.730505%84.7%1,363,6181.36M81.548517%81.548517%81.5%45,720,80345.7M81.521751%81.521751%81.5%5,496,3135.50M\n0%5%10%15%Count#NortheastMassachusettsUnited States of AmericaUnited StatesProvidence and Warwick Metro AreaProvidenceNew EnglandBristol CountyBristol2nd Bristol DistrictMA-2nd BristolZIP Code 02703ZIP 02703AttleboroAttleboro School DistrictAttleboro7.423457%4.871516%2.927599%0.893950%0.049296%16.165818%16.2%9,063,4909.06M6.091253%4.719034%3.447450%1.429649%0.056288%15.743674%15.7%1,061,4611.06M7.079712%3.983241%1.500944%0.604051%0.077288%13.245236%13.2%42,193,78142.2M4.955265%4.375531%2.240644%1.487673%0.035294%13.094406%13.1%210,736211k5.133842%3.531756%2.944117%1.019758%0.047591%12.677063%12.7%1,859,5831.86M6.875689%2.584579%1.661656%1.118284%0.028115%12.268323%12.3%68,07368.1k3.957123%2.639752%2.266580%1.127029%0.020036%10.010519%10.0%3,9973.581061%2.801387%2.577004%1.019922%0.018132%9.997507%10.0%4,4113.581061%2.801387%2.577004%1.019922%0.018132%9.997507%10.0%4,4113.581061%2.801387%2.577004%1.019922%0.018132%9.997507%10.0%4,411\nNational Origin by Metro Area in 2nd Bristol District\nNational Origin by County in 2nd Bristol District\nNational Origin by County Subdivision in 2nd Bristol District\n0%20%40%60%80%Count#ZIP Code 02703ZIP 02703AttleboroAttleboro School DistrictAttleboroAttleboro2nd Bristol DistrictMA-2nd BristolBristol CountyBristolUnited States of AmericaUnited StatesNew EnglandProvidence and Warwick Metro AreaProvidenceNortheastMassachusetts88.853380%88.853380%88.9%39,20339.2k88.853380%88.853380%88.9%39,20339.2k88.853380%88.853380%88.9%39,20339.2k88.853380%88.853380%88.9%39,20339.2k188.789822%88.789822%88.8%35,45235.5k85.515834%85.515834%85.5%474,500475k85.271589%85.271589%85.3%271,639,606272M84.800972%84.800972%84.8%12,439,35212.4M84.730505%84.730505%84.7%1,363,6181.36M81.548517%81.548517%81.5%45,720,80345.7M81.521751%81.521751%81.5%5,496,3135.50M\n0%5%10%15%Count#NortheastMassachusettsUnited States of AmericaUnited StatesProvidence and Warwick Metro AreaProvidenceNew EnglandBristol CountyBristol2nd Bristol DistrictMA-2nd BristolZIP Code 02703ZIP 02703AttleboroAttleboro School DistrictAttleboroAttleboro7.423457%4.871516%2.927599%0.893950%0.049296%16.165818%16.2%9,063,4909.06M6.091253%4.719034%3.447450%1.429649%0.056288%15.743674%15.7%1,061,4611.06M7.079712%3.983241%1.500944%0.604051%0.077288%13.245236%13.2%42,193,78142.2M4.955265%4.375531%2.240644%1.487673%0.035294%13.094406%13.1%210,736211k5.133842%3.531756%2.944117%1.019758%0.047591%12.677063%12.7%1,859,5831.86M6.875689%2.584579%1.661656%1.118284%0.028115%12.268323%12.3%68,07368.1k3.957123%2.639752%2.266580%1.127029%0.020036%10.010519%10.0%3,9973.581061%2.801387%2.577004%1.019922%0.018132%9.997507%10.0%4,4113.581061%2.801387%2.577004%1.019922%0.018132%9.997507%10.0%4,4113.581061%2.801387%2.577004%1.019922%0.018132%9.997507%10.0%4,4113.581061%2.801387%2.577004%1.019922%0.018132%9.997507%10.0%4,4111\n0%20%40%60%80%Count#6th Plymouth DistrictMA-6th Plymouth2nd Plymouth DistrictMA-2nd Plymouth5th Worcester DistrictMA-5th Worcester2nd Franklin DistrictMA-2nd Franklin5th Barnstable DistrictMA-5th Barnstable1st Hampden DistrictMA-1st Hampden4th Plymouth DistrictMA-4th Plymouth2nd Essex DistrictMA-2nd Essex7th Plymouth DistrictMA-7th Plymouth1st Berkshire DistrictMA-1st Berkshire2nd Worcester DistrictMA-2nd Worcester5th Plymouth DistrictMA-5th Plymouth12th Plymouth DistrictMA-12th Plymouth1st Plymouth DistrictMA-1st Plymouth1st Essex DistrictMA-1st Essex1st Franklin DistrictMA-1st Franklin8th Worcester DistrictMA-8th Worcester12th Bristol DistrictMA-12th Bristol1st Middlesex DistrictMA-1st Middlesex9th Norfolk DistrictMA-9th Norfolk3rd Barnstable DistrictMA-3rd Barnstable2nd Berkshire DistrictMA-2nd Berkshire3rd Plymouth DistrictMA-3rd Plymouth7th Worcester DistrictMA-7th Worcester2nd Hampden DistrictMA-2nd Hampden4th Barnstable DistrictMA-4th Barnstable5th Essex DistrictMA-5th Essex4th Essex DistrictMA-4th Essex3rd Berkshire DistrictMA-3rd Berkshire1st Barnstable DistrictMA-1st Barnstable4th Bristol DistrictMA-4th Bristol9th Essex DistrictMA-9th EssexZIP Code 02703ZIP 02703AttleboroAttleboro School DistrictAttleboro2nd Bristol DistrictMA-2nd Bristol2nd Middlesex DistrictMA-2nd Middlesex7th Hampden DistrictMA-7th HampdenBristol CountyBristolUnited States of AmericaUnited StatesNew EnglandProvidence and Warwick Metro AreaProvidence14th Middlesex DistrictMA-14th MiddlesexNortheastMassachusetts3rd Worcester DistrictMA-3rd Worcester14th Essex DistrictMA-14th Essex11th Bristol DistrictMA-11th Bristol24th Middlesex DistrictMA-24th Middlesex35th Middlesex DistrictMA-35th Middlesex16th Suffolk DistrictMA-16th Suffolk26th Middlesex DistrictMA-26th Middlesex2nd Suffolk DistrictMA-2nd Suffolk17th Essex DistrictMA-17th Essex5th Suffolk DistrictMA-5th Suffolk33rd Middlesex DistrictMA-33rd Middlesex16th Essex DistrictMA-16th Essex1st Suffolk DistrictMA-1st Suffolk96.189307%96.189307%96.2%39,95840.0k195.990544%95.990544%96.0%40,19740.2k295.880798%95.880798%95.9%40,99041.0k395.634265%95.634265%95.6%39,93439.9k495.547583%95.547583%95.5%37,01837.0k595.153129%95.153129%95.2%39,30339.3k695.137818%95.137818%95.1%39,48639.5k795.104848%95.104848%95.1%42,04342.0k894.966515%94.966515%95.0%39,56439.6k994.773043%94.773043%94.8%36,78936.8k1094.602259%94.602259%94.6%38,69838.7k1194.494429%94.494429%94.5%40,54040.5k1294.425202%94.425202%94.4%40,07540.1k1394.304326%94.304326%94.3%40,68140.7k1494.251273%94.251273%94.3%41,28341.3k1593.981902%93.981902%94.0%38,32338.3k1693.923141%93.923141%93.9%40,27840.3k1793.766724%93.766724%93.8%36,79536.8k1893.628969%93.628969%93.6%40,51740.5k1993.507728%93.507728%93.5%41,32241.3k2093.420899%93.420899%93.4%40,11440.1k2193.373909%93.373909%93.4%39,27439.3k2293.289293%93.289293%93.3%37,42337.4k2393.205643%93.205643%93.2%36,01036.0k2493.183140%93.183140%93.2%38,46638.5k2592.809561%92.809561%92.8%37,19937.2k2692.678151%92.678151%92.7%37,39137.4k2792.618108%92.618108%92.6%41,54241.5k2892.616013%92.616013%92.6%37,64137.6k2992.610381%92.610381%92.6%37,98638.0k3092.374680%92.374680%92.4%38,29338.3k3590.263454%90.263454%90.3%38,51038.5k4688.853380%88.853380%88.9%39,20339.2k88.853380%88.853380%88.9%39,20339.2k88.853380%88.853380%88.9%39,20339.2k88.789822%88.789822%88.8%35,45235.5k5388.016345%88.016345%88.0%39,63239.6k5785.650128%85.650128%85.7%36,04536.0k6985.515834%85.515834%85.5%474,500475k85.271589%85.271589%85.3%271,639,606272M84.800972%84.800972%84.8%12,439,35212.4M84.730505%84.730505%84.7%1,363,6181.36M83.478442%83.478442%83.5%36,05136.1k8081.548517%81.548517%81.5%45,720,80345.7M81.521751%81.521751%81.5%5,496,3135.50M81.344374%81.344374%81.3%35,07035.1k9178.612926%78.612926%78.6%34,77634.8k10376.064290%76.064290%76.1%29,91029.9k11473.043639%73.043639%73.0%31,56831.6k12569.349542%69.349542%69.3%28,29628.3k13766.432668%66.432668%66.4%29,99930.0k14364.314993%64.314993%64.3%26,67426.7k14859.867788%59.867788%59.9%27,98428.0k15456.392672%56.392672%56.4%23,27123.3k15655.508455%55.508455%55.5%23,96324.0k15754.835633%54.835633%54.8%22,41922.4k15847.370464%47.370464%47.4%20,74420.7k15946.548217%46.548217%46.5%21,50921.5k160\n0%10%20%30%40%50%Count#1st Suffolk DistrictMA-1st Suffolk33rd Middlesex DistrictMA-33rd Middlesex28th Middlesex DistrictMA-28th Middlesex16th Essex DistrictMA-16th Essex5th Suffolk DistrictMA-5th Suffolk2nd Suffolk DistrictMA-2nd Suffolk11th Essex DistrictMA-11th Essex10th Essex DistrictMA-10th Essex9th Plymouth DistrictMA-9th Plymouth17th Essex DistrictMA-17th Essex26th Middlesex DistrictMA-26th Middlesex13th Suffolk DistrictMA-13th Suffolk1st Norfolk DistrictMA-1st Norfolk16th Suffolk DistrictMA-16th Suffolk19th Suffolk DistrictMA-19th Suffolk6th Suffolk DistrictMA-6th Suffolk12th Suffolk DistrictMA-12th Suffolk18th Middlesex DistrictMA-18th Middlesex35th Middlesex DistrictMA-35th Middlesex7th Middlesex DistrictMA-7th Middlesex2nd Norfolk DistrictMA-2nd Norfolk10th Middlesex DistrictMA-10th Middlesex15th Norfolk DistrictMA-15th Norfolk14th Suffolk DistrictMA-14th Suffolk17th Suffolk DistrictMA-17th Suffolk18th Suffolk DistrictMA-18th Suffolk11th Suffolk DistrictMA-11th Suffolk15th Worcester DistrictMA-15th Worcester4th Middlesex DistrictMA-4th Middlesex24th Middlesex DistrictMA-24th Middlesex17th Middlesex DistrictMA-17th Middlesex6th Middlesex DistrictMA-6th Middlesex11th Middlesex DistrictMA-11th MiddlesexNortheastMassachusetts5th Middlesex DistrictMA-5th Middlesex8th Essex DistrictMA-8th EssexUnited States of AmericaUnited StatesProvidence and Warwick Metro AreaProvidenceNew EnglandBristol CountyBristol3rd Worcester DistrictMA-3rd Worcester2nd Middlesex DistrictMA-2nd Middlesex2nd Bristol DistrictMA-2nd BristolZIP Code 02703ZIP 02703AttleboroAttleboro School DistrictAttleboro12th Worcester DistrictMA-12th Worcester14th Bristol DistrictMA-14th Bristol1st Barnstable DistrictMA-1st Barnstable1st Middlesex DistrictMA-1st Middlesex12th Plymouth DistrictMA-12th Plymouth5th Barnstable DistrictMA-5th Barnstable2nd Franklin DistrictMA-2nd Franklin5th Worcester DistrictMA-5th Worcester2nd Plymouth DistrictMA-2nd Plymouth6th Plymouth DistrictMA-6th Plymouth42.929796%3.248355%2.521208%1.952043%0.051939%50.703341%50.7%23,42923.4k119.699638%14.976519%4.625281%4.092065%0.031797%43.425301%43.4%17,75417.8k229.886191%4.536697%3.492696%2.890044%0.000000%40.805628%40.8%18,21418.2k337.064694%2.580439%0.589162%0.278596%0.000000%40.512891%40.5%17,74117.7k417.852675%16.103776%4.278434%0.813065%0.000000%39.047950%39.0%16,85716.9k527.343132%3.493571%2.575787%1.615215%0.044927%35.072631%35.1%16,39416.4k623.978047%4.584943%3.452859%2.837595%0.000000%34.853444%34.9%14,16214.2k724.411606%5.444837%2.414463%1.660383%0.000000%33.931290%33.9%14,48914.5k818.769348%12.367419%1.654402%0.860188%0.000000%33.651358%33.7%13,26213.3k928.117579%3.191489%1.255271%0.712451%0.000000%33.276790%33.3%13,73213.7k1013.480735%10.826060%6.910353%1.675749%0.349617%33.242513%33.2%13,78713.8k1115.162397%9.778134%4.220037%4.000457%0.018298%33.179323%33.2%14,50614.5k1220.998321%4.823675%3.850179%1.489450%0.090048%31.251673%31.3%12,84112.8k1318.262949%4.956042%4.300551%3.676064%0.044290%31.239896%31.2%14,10714.1k1418.258140%5.251266%4.628154%2.994268%0.000000%31.131829%31.1%13,09013.1k1525.572050%3.841947%1.216654%0.415225%0.000000%31.045876%31.0%13,90713.9k1624.936641%2.189765%2.031924%1.476146%0.000000%30.634476%30.6%13,78013.8k1720.043812%5.446580%2.788012%1.535896%0.000000%29.814299%29.8%11,97712.0k1811.717563%10.952894%4.943385%2.021960%0.063722%29.699525%29.7%12,11812.1k1918.138229%4.596045%3.341449%1.696810%0.032297%27.804830%27.8%11,19211.2k2018.663163%4.735139%2.917488%1.279899%0.038932%27.634621%27.6%11,35711.4k2110.392471%10.040468%4.398841%2.387395%0.093389%27.312564%27.3%11,40611.4k2214.910177%8.142836%3.431397%0.594743%0.156640%27.235792%27.2%11,12811.1k2319.025484%3.376593%2.668712%2.085890%0.000000%27.156678%27.2%11,50911.5k2412.526007%7.147947%5.731467%0.712515%0.245105%26.363040%26.4%9,2502512.272902%7.254272%5.458050%0.778620%0.264679%26.028524%26.0%10,12910.1k2618.710146%2.412322%2.313860%2.224775%0.000000%25.661103%25.7%10,94610.9k279.592560%7.301033%5.857268%2.594667%0.025690%25.371217%25.4%9,8762813.503127%8.100057%2.114838%1.564525%0.000000%25.282547%25.3%11,11811.1k2911.999630%5.500023%4.347725%3.091305%0.078671%25.017354%25.0%10,81210.8k309.530813%9.004222%4.013473%1.328336%0.000000%23.876844%23.9%10,06610.1k358.540131%7.199044%3.836185%1.647621%0.000000%21.222981%21.2%9,416468.351152%5.348005%3.656632%0.723158%0.132138%18.211085%18.2%7,580577.423457%4.871516%2.927599%0.893950%0.049296%16.165818%16.2%9,063,4909.06M6.091253%4.719034%3.447450%1.429649%0.056288%15.743674%15.7%1,061,4611.06M7.169947%3.727475%3.206840%0.922331%0.152600%15.179193%15.2%6,764696.414642%3.875666%1.529740%1.336689%0.092860%13.249597%13.2%5,422807.079712%3.983241%1.500944%0.604051%0.077288%13.245236%13.2%42,193,78142.2M4.955265%4.375531%2.240644%1.487673%0.035294%13.094406%13.1%210,736211k5.133842%3.531756%2.944117%1.019758%0.047591%12.677063%12.7%1,859,5831.86M6.875689%2.584579%1.661656%1.118284%0.028115%12.268323%12.3%68,07368.1k6.476005%2.783383%1.317468%1.041449%0.016236%11.634542%11.6%5,016917.986142%1.414675%1.383584%0.042196%0.033313%10.859909%10.9%4,890963.957123%2.639752%2.266580%1.127029%0.020036%10.010519%10.0%3,9971003.581061%2.801387%2.577004%1.019922%0.018132%9.997507%10.0%4,4113.581061%2.801387%2.577004%1.019922%0.018132%9.997507%10.0%4,4113.581061%2.801387%2.577004%1.019922%0.018132%9.997507%10.0%4,4114.163277%3.012152%1.683551%0.423969%0.221844%9.504794%9.5%3,8561033.040016%1.879371%1.765249%0.803710%0.000000%7.488345%7.5%3,0841142.725699%1.938221%1.482312%0.458347%0.000000%6.604579%6.6%2,7091252.033554%1.802468%1.469705%0.166382%0.030041%5.502149%5.5%2,3811372.565915%1.302985%0.584341%0.376994%0.000000%4.830235%4.8%2,0501481.478977%1.089229%0.949849%0.185840%0.000000%3.703895%3.7%1,4351561.432095%1.013004%0.864526%0.105372%0.033527%3.448524%3.4%1,4401571.263128%1.057285%0.856120%0.051461%0.000000%3.227995%3.2%1,3801581.308625%0.909829%0.522973%0.472825%0.000000%3.214252%3.2%1,3461590.984569%0.921981%0.765509%0.103512%0.074625%2.850196%2.9%1,184160\nThis page discusses the citizenship status and place of birth of the residents of 2nd Bristol District. In all cases, including citizenship status, the results are based solely on survey responses and were not further verified.\nMA-4th Bristol, MA-14th Bristol\nRI-52, RI-57, RI-60, RI-61\nRI-1, RI-3, RI-4, RI-46, RI-55, RI-56, RI-58, RI-59, RI-62, RI-63\n2nd Bristol District, Massachusetts (Lower State Legislative District)


Hochbett Treppe | Hochbett Treppe Den Elegant Regal Ideen Mit Treppen\nHochbett Treppe , Hochbett - mobimio, Treppe zu hochbett + etagenbett, treppe mit geländer, Hochbett treppe selber bauen - cheapbohemian.net, Hochbett treppe trofast | hauptdesign, Hochbett treppe selber bauen - cheapbohemian.net, Hochbett mit treppe selber bauen nt07 hitoiro avec, Asoral hochbett loft xl liso mit treppe, schreibtisch, 4, Download treppe hochbett | indoo haus-design, Hochbett treppe. perfect hochbett treppe mit stauraum, Hochbett.\nHochbett - Mobimio\nHochbett Treppe Selber Bauen - Cheapbohemian.net\nHochbett Treppe Trofast | Hauptdesign\nHochbett Treppe Hochbett Treppe Den Elegant Regal Ideen Mit Treppen\nhochbett mit treppe selber bauen nt07 hitoiro avec asoral hochbett loft xl liso mit treppe, schreibtisch, 4 download treppe hochbett | indoo haus-design hochbett treppe. perfect hochbett treppe mit stauraum hochbett treppe mit stauraum best 27 frisch galerie von hochbett mit treppe en und rutsche kinderhochbett fichte hochbett mit treppe sun | furnistad hochbett treppe mit stauraum best 27 frisch galerie von hochbett treppe mit stauraum best 27 frisch galerie von hochbett treppe den elegant regal ideen mit treppen wählen sie das richtige hochbett mit treppe fürs kinderzimmer hochbett treppe selber bauen - amuda.me hochbett treppe hoch holztreppe selber bauen mit hochbett treppe mit stauraum - amuda.me hochbett treppe selber bauen - visiontherapy.net hochbett und treppe ku-be regal und treppe für hochebene und hochbett - neubauen.design hochbett mit treppe bauen – wohn-design treppe bauen fur hochbett asoral hochbett loft xl liso mit treppe, schreibtisch, 4 hochbett treppe den elegant regal ideen mit treppen hochbett treppe. perfect hochbett treppe mit stauraum hochbett treppe den elegant regal ideen mit treppen\nDownload Treppe Hochbett | Indoo Haus-design\nHochbett Treppe. Perfect Hochbett Treppe Mit Stauraum\nHochbett Treppe Selber Bauen - Amuda.me\nHochbett Treppe Mit Stauraum - Amuda.me\nHochbett Mit Treppe Bauen – Wohn-design\nPool Filterpumpe Tipps Gartengestaltung Aalen Bambus Sessel Gebraucht Grifflose Küche Dan Deko Vorhang Kurz Fauteuils Relax Chez But Pinienmöbel Gebraucht Kaufen Ebay Ikea Badschränke Schlafzimmer Einrichtung Rosa Kaminofen Bausatz Hornbach Couleur Pour Cuisine Moderne Mehrteilige Wandbilder Wohnzimmer Tv Sessel Elektrisch Verstellbar Jacuzzi Pool Skimmer Gasket Vitre Atelier Cuisine Esstisch Mit Metall Bodenbelag Balkon Kosten Ikea Arkelstorp Couchtisch Poolabdeckung Ohne Schiene Moderne Gartenwege Pool Wärmepumpe Geräuscharm Vintage Low Sideboard Ferienwohnung Mit Pool Ibiza Ferienhaus Mit Pool Madeira Kratzbaum Massiv Badezimmerspiegel Industrie Anthrazit Metallic Bmw Badezimmerspiegel 120 Cm Papier à Peindre Leroy Merlin Gartentische Holz Vintage Tv Wand Höffner Raffrollo Für Gardinenschiene Glasvitrine Mit Beleuchtung Allnatura Küche Eiche Couchtisch Drache Sichtschutz Garten Ideen Runde Tischdecke Auf Eckigen Tisch Gfk Pool Formen Holz Klapptisch Wohnzimmertisch Höhenverstellbar Lustige Teppiche Pool Wärmetauscher An Heizung Anschließen Schlafzimmer Ideen Pastell Kinder Hocker Pool Bauen Lassen Hildesheim Store Gardinen Vorhänge Ordnung Im Schlafzimmer Alno Kücheninsel Bettwäsche Bio Baumwolle Weiss Geldgeschenke Hochzeit Basteln Insel Geldgeschenk Basteln Cd Idee Cuisine Couloir Vintage Sideboard Leeds Sideboard Aus Metall Damast Tischdecken Amazon Leicht Küchen Münster Runde Tischdecken Obi Lowboard 150 Cm Eiche Bad Fliesen Qm Berechnen Pool Kaufen Dehner Gartentisch Edelstahl Granit 220 Pool Ohne Wärmepumpe Crepi Facade Taloche Fliesenspiegel Küche Neu Kosten Couchtisch Massivholz Glasplatte Fliesen Aussen Grau Osnabrück Nachtflohmarkt Ecksofa Küche Apéritif Dinatoire Improvisé Modern Wohnen Wohnzimmer Badezimmer Regal Holz Schmal Pieds Tabourets Möbel Xxl Tv Werbung Recette Apero Quiche Sans Pate Tefal Studio Bubble Xxl Küche Baumwoll Bettwäsche Beige Qualität Linea Küche Magnet Messerblock Design Küchen Kaufen Frankfurt Wohnaccessoires Hamburg Kleine Badezimmer Grundriss Kleines Badezimmer Vorschläge Küche Ohne Geräte 300 Cm Tischdecke Damast Baumwolle Pool Pflege Sauerstoff Gfk Pool Erfahrungen Wohnzimmer Zen Einrichten Lit Fille Original Badezimmer Accessoires Hamburg\nCopyright © Hochbett Treppe Den Elegant Regal Ideen Mit Treppen


Lady Million, Avon, Zara - Parfüme und Lipgloss :: Kleiderkorb.de\nFragt einfach die Preise nach :) Es gibt von Lady Million, 2 x Avon, Zara und Loris.\n! NEU ! Liquid Lipstick / Lipgloss von NYX\nEs ist neu und verpackt.\nIn der Farbe: GGLS06 BLOODSTONE\nPreis 10,00 € Größe : Sonstiges Zustand : Gut Verhandlungsoption : Verkaufen Hochgeladen : 27.06.2020 18:26 Klicks : 287 Farbe : Lila , Gold Versandkosten : DHL / Hermes


Schubert, Franz: Late Piano Works, Vol. 2 - Lucchesini, Andrea | lawostore.no - din nettbutikk for klassisk musikk! | lawostore.no\nSchubert, Franz: Late Piano Works, Vol. 2 - Lucchesini, Andrea\nLucchesini, Andrea Produsent:\n"[...] this Italian pianist manages to make it all seem as though created on the spur of the moment [...]." (BBC Music Magazine)


Neuer qualifizierter Mietspiegel für Leutkirch\nFür Leutkirch gibt es einen neuen qualifizierten Mietspiegel. (Foto: Armin Weigel)\nVeröffentlicht: 31. März 2019, 15:19 Uhr\nSo hoch ist die durchschnittliche Nettomiete in der Allgäustadt.\nKhl Dlmkl Ilolhhlme hhllll eoa 1. Melhi lholo ololo homihbhehllllo Ahlldehlsli bül ohmel ellhdslhooklolo Sgeolmoa mo.\nShl khl Dlmkl ahlllhil, solkl lldlamid bül Ilolhhlme ha Kmel 2015 lho homihbhehlllll Ahlldehlsli lldlliil, slimell ha Mhdlmok sgo eslh Kmello kll Amlhllolshmhioos moeoemddlo ook ooo omme shll Kmello olo eo lldlliilo sml. Kolme klo Ahlldehlsli shlk Ahllllo ook Sllahllllo lho mhloliill ook llmodemllolll Ühllhihmh ühll kmd Ahllohslmo ha bllh bhomoehllllo Sgeooosdhldlmok ho Ilolhhlme llaösihmel.\nMoemok sgo Sllllo ühll Slößl, Hmokmel, Moddlmlloos, Hldmembbloelhl ook Imsl kll Sgeooos hmoo kll Ahllellhd imol Ahlllhioos elg Homklmlallll modslllmeoll sllklo. Khl kolmedmeohllihmel Olllgahlll ho Ilolhhlme hllläsl, oomheäoshs sgo miilo Sgeoslllallhamilo, 6,48 Lolg/Homklmlallll.\nKhl Dlmklsllsmiloos hmoo holel miislalhol Modhüobll ook Ehoslhdl eoa Ahlldehlsli slhlo. Lhol bül klo Lhoelibmii llbglkllihmel Llmeldhllmloos hmoo dhl ohmel ühllolealo.\nKhl Bglldmellhhoos kld Ilolhhlmell Ahlldehlsli hdl mob kll Holllolldlhll kll Dlmkl oolll eo bhoklo ook hdl mh 1. Melhi süilhs.\nDie Bevölkerung wird immer älter: Eine Tatsache, die die Gesellschaft, insbesondere auch die Kommunen, vor große Herausforderungen stellt. Leutkirch plant deshalb ein „Seniorenkonzept 2030“.


Version vom 24. Oktober 2020, 00:11 Uhr (Bearbeiten)\nVersion vom 24. Oktober 2020, 00:11 Uhr (Bearbeiten) (rückgängig machen)\nVersion vom 24. Oktober 2020, 00:11 Uhr


Nishua NTX-Kids II Kinder Integralhelm kaufen | Louis Motorrad - Bekleidung und Technik\nStartseite / Bekleidung & Helme / Helme & Visiere / Kinderhelme / Nishua NTX-Kids II\nNishua NTX-Kids II Kinder Integralhelm\nBelüftung: Kinn- und Stirnbereich, verstellbar sowie Entlüftung am Hinterkopf und an den Seiten\n50 cm = XXS\nGewicht ca.: 1050 Gramm\nKompatibel mit Sena Kommunikationssystem: 3S-W, 3S-WB, SMH5, SMH5 Multicom\nNISHUA NTX KIDS II - GR.XXS MATT SCHWARZ Farbe: Matt, Schwarz Größe: XXS Art. No.: 21515300 Lieferbarkeit:\nNISHUA NTX KIDS II - GR.XS MATT SCHWARZ Farbe: Matt, Schwarz Größe: XS Art. No.: 21515301 Lieferbarkeit:\nNISHUA NTX KIDS II - GR.S MATT SCHWARZ Farbe: Matt, Schwarz Größe: S Art. No.: 21515302 Lieferbarkeit:\nNISHUA NTX KIDS II - GR.M MATT SCHWARZ Farbe: Matt, Schwarz Größe: M Art. No.: 21515303 Lieferbarkeit:\nNISHUA NTX KIDS II - GR.L MATT SCHWARZ Farbe: Matt, Schwarz Größe: L Art. No.: 21515304 Lieferbarkeit:


2019 MCAS Results by Subgroup by Grade and Subject - Dracut (00790000)\nStudents w/ Disabilities 54 98 2 22 50 26 486.2 N/A N/A 13,678 99 2 20 52 27 486.4 N/A N/A\nEL and Former EL 15 100 0 73 20 7 502.4 N/A N/A 12,712 99 5 32 48 15 494.1 N/A N/A\nEconomically Disadvantaged 72 99 6 35 49 11 496.2 N/A N/A 25,436 99 4 34 48 14 494.9 N/A N/A\nHigh Needs 111 99 5 36 46 14 494.8 N/A N/A 36,081 99 5 34 47 14 495.3 N/A N/A\nAfrican Amer./Black 16 100 6 38 50 6 500.4 N/A N/A 6,045 100 4 34 48 14 495.2 N/A N/A\nAsian 22 100 0 59 41 0 501.6 N/A N/A 4,797 99 19 53 24 3 513.3 N/A N/A\nHispanic/Latino 33 100 6 33 52 9 496.3 N/A N/A 14,617 99 5 33 48 14 494.8 N/A N/A\nWhite 223 100 11 50 34 5 506.6 N/A N/A 39,300 100 12 51 32 5 507.5 N/A N/A\nMale 148 99 3 49 43 6 501.1 N/A N/A 34,934 99 7 44 39 10 501.2 N/A N/A\nFemale 151 100 16 48 31 5 507.8 N/A N/A 32,962 99 13 48 33 6 507.1 N/A N/A\nTitle 1 214 100 10 50 36 4 504.9 N/A N/A 34,363 99 6 38 45 11 497.9 N/A N/A\nNon-Title 1 85 99 7 42 40 11 503.7 N/A N/A 33,522 99 14 54 27 4 510.4 N/A N/A\nNon-Disabled 245 100 11 54 34 1 508.2 N/A N/A 54,207 100 12 52 32 3 508.2 N/A N/A\nNon-Economically Disadvantaged 227 100 11 52 33 4 507.2 N/A N/A 42,449 100 14 53 29 4 509.5 N/A N/A\nFormer EL 9 N/A N/A 3,369 100 13 56 27 4 509.9 N/A N/A\nEver EL 15 100 0 73 20 7 502.4 N/A N/A 12,740 99 5 32 48 15 494.1 N/A N/A\n2019 299 100 9 48 37 6 504.6 N/A N/A 67,900 99 10 46 36 8 504.1 N/A N/A\nStudents w/ Disabilities 54 98 4 6 39 52 474.0 N/A N/A 13,720 99 2 16 44 38 480.7 N/A N/A\nEL and Former EL 15 100 0 33 47 20 488.7 N/A N/A 12,741 100 5 29 43 22 490.4 N/A N/A\nEconomically Disadvantaged 72 99 4 17 54 25 485.4 N/A N/A 25,481 100 3 28 46 23 488.7 N/A N/A\nHigh Needs 111 99 5 16 47 32 484.0 N/A N/A 36,152 100 4 28 45 22 489.9 N/A N/A\nAfrican Amer./Black 16 100 6 38 44 13 491.9 N/A N/A 6,058 100 3 26 47 23 488.2 N/A N/A\nAsian 22 100 0 59 32 9 500.6 N/A N/A 4,804 100 24 50 22 4 514.2 N/A N/A\nHispanic/Latino 33 100 3 18 52 27 486.8 N/A N/A 14,652 100 3 28 46 23 488.8 N/A N/A\nWhite 223 100 6 38 42 14 497.0 N/A N/A 39,339 100 10 45 36 8 503.0 N/A N/A\nMale 148 99 4 35 43 18 494.6 N/A N/A 34,990 100 10 40 36 13 500.0 N/A N/A\nFemale 151 100 7 38 44 12 496.6 N/A N/A 33,004 100 8 40 40 12 498.8 N/A N/A\nTitle 1 214 100 5 39 43 13 496.4 N/A N/A 34,424 100 5 32 44 18 492.7 N/A N/A\nNon-Title 1 85 99 6 31 42 21 493.6 N/A N/A 33,556 100 14 48 31 7 506.2 N/A N/A\nNon-Disabled 245 100 6 43 44 7 500.0 N/A N/A 54,260 100 11 46 37 6 503.8 N/A N/A\nNon-Economically Disadvantaged 227 100 6 43 40 12 498.8 N/A N/A 42,499 100 13 47 33 6 505.7 N/A N/A\nFormer EL 9 N/A N/A 3,375 100 14 48 30 7 506.3 N/A N/A\nEver EL 15 100 0 33 47 20 488.7 N/A N/A 12,769 100 5 29 43 22 490.4 N/A N/A\n2019 299 100 5 36 43 15 495.6 N/A N/A 67,998 100 9 40 38 13 499.4 N/A N/A\nStudents w/ Disabilities 62 100 2 31 48 19 490.2 53.1 61 14,440 99 1 16 54 29 484.3 42.7 12,881\nEL and Former EL 16 100 6 25 63 6 493.7 13 12,740 99 4 29 50 17 492.1 48.4 11,397\nEconomically Disadvantaged 96 100 7 44 44 5 501.2 56.8 85 26,403 99 3 30 51 16 492.4 45.3 24,273\nHigh Needs 144 100 6 39 47 9 497.6 55.3 131 37,309 99 3 30 51 16 492.9 46.1 34,342\nAfrican Amer./Black 23 100 0 52 39 9 499.8 17 6,499 100 3 30 51 16 492.5 45.0 5,927\nAsian 13 100 0 54 38 8 502.4 13 4,904 99 19 51 25 5 512.0 56.8 4,541\nHispanic/Latino 39 100 10 44 44 3 502.4 55.3 33 15,005 99 3 30 51 16 492.4 46.0 13,792\nWhite 222 100 9 47 38 5 503.7 56.0 215 40,141 99 11 48 35 6 505.4 50.8 38,590\nMale 182 100 5 45 44 5 500.6 53.2 172 36,038 99 7 41 41 11 499.6 49.5 33,823\nFemale 124 100 14 51 31 4 507.4 59.1 115 33,772 100 11 45 37 7 504.1 49.9 32,112\nTitle 1 208 100 9 50 38 4 504.7 58.2 192 35,444 99 5 34 48 13 495.7 46.9 33,237\nNon-Title 1 98 100 8 43 42 7 500.5 50.2 95 34,361 99 13 51 30 5 508.1 52.5 32,699\nNon-Disabled 244 100 11 52 36 1 506.7 56.2 226 55,366 100 11 49 36 4 506.1 51.4 53,055\nNon-Economically Disadvantaged 210 100 10 49 37 5 504.4 55.0 202 43,402 100 13 50 33 4 507.5 52.3 41,663\nEL 6 5 8,230 99 1 16 58 25 484.0 46.4 7,009\nFormer EL 10 100 10 30 60 0 499.4 8 4,510 100 10 52 34 3 506.6 51.4 4,388\nEver EL 16 100 6 25 63 6 493.7 13 13,185 99 4 30 49 17 492.4 48.4 11,824\n2019 306 100 9 47 39 5 503.4 55.5 287 69,814 99 9 43 39 9 501.8 49.7 65,938\nStudents w/ Disabilities 62 100 2 19 48 31 482.0 42.1 61 14,445 99 2 16 45 38 480.3 42.9 12,899\nEL and Former EL 16 100 6 31 44 19 491.3 13 12,745 100 5 30 44 20 491.2 48.8 11,438\nEconomically Disadvantaged 95 100 2 36 53 9 493.2 50.4 84 26,396 100 3 28 48 22 488.9 45.9 24,301\nHigh Needs 143 100 2 33 49 16 490.1 48.7 130 37,312 99 3 29 47 21 490.0 46.7 34,382\nAfrican Amer./Black 23 100 0 35 48 17 492.8 17 6,495 100 2 26 49 23 487.6 44.5 5,928\nAsian 13 100 0 31 62 8 491.5 13 4,907 100 23 53 20 5 514.6 57.5 4,550\nHispanic/Latino 39 100 3 31 59 8 494.9 53.9 33 15,020 100 3 28 48 21 489.3 46.8 13,824\nWhite 221 100 5 41 46 9 496.1 50.1 214 40,118 99 9 47 36 8 502.8 50.7 38,595\nMale 181 100 4 41 46 9 496.3 50.3 171 36,037 100 9 42 36 13 500.2 51.5 33,849\nFemale 124 100 3 35 52 10 494.4 49.8 115 33,767 100 7 41 42 11 498.3 47.9 32,131\nTitle 1 207 100 4 44 45 7 497.8 52.7 191 35,450 100 4 33 46 17 492.8 47.7 33,264\nNon-Title 1 98 100 3 29 55 13 490.8 44.8 95 34,347 100 12 50 31 7 505.9 51.9 32,716\nNon-Disabled 243 100 4 44 48 4 499.0 52.3 225 55,353 100 10 48 37 5 503.8 51.4 53,081\nNon-Economically Disadvantaged 210 100 4 40 46 9 496.6 50.0 202 43,401 100 12 49 33 6 505.4 52.0 41,679\nEL 6 5 8,239 100 1 20 50 29 483.2 46.3 7,047\nFormer EL 10 100 10 50 20 20 498.7 8 4,506 100 12 49 34 5 505.6 52.8 4,391\nEver EL 16 100 6 31 44 19 491.3 13 13,191 100 5 31 44 20 491.5 48.9 11,865\n2019 305 100 4 39 48 9 495.5 50.1 286 69,806 100 8 41 39 12 499.2 49.8 65,982\nStudents w/ Disabilities 67 99 1 18 49 31 484.6 45.3 57 14,815 99 1 15 55 30 482.6 44.5 13,124\nEL and Former EL 15 100 7 60 33 0 503.5 12 12,755 99 3 30 48 18 491.1 52.1 11,431\nEconomically Disadvantaged 86 99 7 42 41 10 500.5 53.8 74 26,925 99 3 31 50 16 491.9 47.6 24,746\nHigh Needs 144 99 5 38 42 15 496.8 52.3 125 37,915 99 3 31 51 16 492.2 48.1 34,875\nAfrican Amer./Black 20 100 20 45 30 5 510.0 19 6,552 100 3 32 49 16 492.8 49.3 5,999\nAsian 18 100 17 61 22 0 515.2 17 5,062 100 17 56 23 4 512.0 57.2 4,700\nHispanic/Latino 28 100 11 39 46 4 503.3 56.6 25 15,415 99 3 32 49 17 492.0 49.0 14,179\nMulti-Race, Non-Hisp./Lat. 7 7 2,893 100 8 47 37 7 502.7 49.5 2,746\nWhite 230 100 7 54 30 9 504.3 56.7 214 41,977 100 8 50 36 5 504.4 49.6 40,345\nMale 149 99 5 46 38 10 500.4 53.8 137 37,190 99 5 41 43 11 498.0 47.6 34,908\nFemale 155 100 12 60 24 5 510.1 60.9 146 34,933 100 10 49 35 6 504.5 52.4 33,266\nTitle 1 224 100 10 54 29 7 506.7 62.0 209 32,630 99 4 36 47 13 495.1 49.6 30,529\nNon-Title 1 80 100 4 53 35 9 501.8 44.6 74 39,491 100 10 52 33 5 506.2 50.2 37,648\nNon-Disabled 237 100 11 63 26 0 510.9 60.5 226 57,307 100 9 53 35 3 505.6 51.3 55,053\nNon-Economically Disadvantaged 218 100 9 58 27 6 507.3 58.7 209 45,196 100 10 53 33 4 506.6 51.3 43,431\nFormer EL 10 100 10 80 10 0 510.2 9 6,453 100 7 48 42 4 503.0 54.2 6,283\nEver EL 18 100 6 50 39 6 500.6 15 13,639 99 4 31 47 18 492.0 52.2 12,285\n2019 304 100 9 53 31 7 505.4 57.4 283 72,129 100 7 45 39 9 501.2 50.0 68,179\nStudents w/ Disabilities 65 97 0 20 54 26 484.1 50.6 57 14,815 99 1 14 51 34 480.2 44.6 13,116\nEL and Former EL 15 100 0 47 47 7 497.4 12 12,776 100 3 30 49 18 490.4 50.0 11,463\nEconomically Disadvantaged 84 98 1 38 45 15 493.0 55.3 74 26,931 100 1 27 52 19 488.5 46.1 24,758\nHigh Needs 142 99 1 35 50 15 492.0 55.1 125 37,917 100 2 28 52 18 489.4 47.2 34,885\nAfrican Amer./Black 20 100 5 60 20 15 503.1 19 6,564 100 2 28 53 17 489.2 48.7 6,002\nAsian 18 100 11 72 17 0 509.6 17 5,065 100 21 56 20 3 514.2 59.6 4,713\nHispanic/Latino 27 96 4 33 59 4 495.5 59.6 25 15,424 100 1 28 52 19 488.7 46.4 14,204\nMulti-Race, Non-Hisp./Lat. 7 7 2,891 99 7 42 41 10 499.3 50.0 2,746\nWhite 229 100 5 45 41 8 500.8 60.6 214 41,957 100 6 49 39 7 501.6 50.3 40,311\nMale 148 99 4 47 41 9 500.3 57.2 137 37,189 100 6 42 40 12 498.2 48.4 34,920\nFemale 154 99 6 48 40 6 501.8 62.6 146 34,938 100 5 43 43 8 498.8 51.6 33,261\nTitle 1 223 100 4 45 43 8 499.5 56.8 209 32,652 100 3 32 50 15 491.9 47.8 30,563\nNon-Title 1 79 99 8 54 32 6 505.6 68.8 74 39,471 100 8 51 34 6 504.0 51.8 37,621\nNon-Disabled 237 100 7 55 36 2 505.4 62.3 226 57,309 100 7 50 39 4 502.9 51.3 55,068\nNon-Economically Disadvantaged 218 100 7 51 38 4 504.2 61.6 209 45,192 100 8 52 35 5 504.3 52.2 43,426\nFormer EL 10 100 0 70 30 0 503.7 9 6,456 100 6 45 44 6 500.4 51.4 6,289\nEver EL 18 100 0 39 56 6 495.8 15 13,659 100 4 31 48 18 491.2 50.0 12,315\n2019 302 99 5 47 40 7 501.1 59.9 283 72,132 100 6 43 42 10 498.5 50.0 68,186\nStudents w/ Disabilities 66 97 0 17 45 38 481.2 14,774 99 2 17 46 36 481.1\nEL and Former EL 15 100 0 20 73 7 491.7 12,763 100 3 24 48 25 486.6\nEconomically Disadvantaged 85 98 1 35 44 20 492.1 26,875 99 3 26 48 23 488.0\nHigh Needs 143 99 1 30 48 21 490.2 37,851 99 3 27 48 22 489.0\nAfrican Amer./Black 20 100 20 35 35 10 504.1 6,560 100 2 24 50 24 486.5\nAsian 18 100 17 28 56 0 503.4 5,063 100 19 48 27 6 509.9\nHispanic/Latino 27 96 7 30 59 4 499.5 15,392 100 3 26 48 23 487.4\nWhite 230 100 7 43 39 12 499.7 41,919 99 10 47 36 7 503.6\nMale 149 99 7 41 40 13 499.3 37,136 99 9 40 37 13 499.2\nFemale 154 99 10 40 43 7 501.2 34,910 100 8 40 41 11 498.7\nTitle 1 224 100 9 41 40 11 500.1 32,614 100 4 31 47 19 491.1\nNon-Title 1 79 99 6 41 46 8 501.0 39,428 99 12 48 33 7 505.3\nNon-Disabled 237 100 11 47 40 2 505.3 57,269 100 10 47 37 6 503.2\nNon-Economically Disadvantaged 218 100 11 43 40 6 503.5 45,167 100 12 49 34 6 505.3\nFormer EL 10 100 0 30 70 0 498.6 6,453 100 6 40 47 8 498.6\nEver EL 18 100 0 17 78 6 491.1 13,646 100 4 25 47 24 487.4\n2019 303 99 8 41 41 10 500.3 72,051 99 8 40 39 12 498.9\nStudents w/ Disabilities 74 100 0 8 57 35 477.3 41.7 70 14,596 98 1 14 43 42 477.9 44.0 12,964\nEL and Former EL 22 100 0 14 59 27 478.4 36.9 20 12,306 99 5 29 40 26 488.3 51.7 11,022\nEconomically Disadvantaged 94 100 3 36 41 19 492.6 47.5 89 26,370 99 5 29 42 25 489.2 47.2 24,220\nHigh Needs 149 100 2 27 47 24 487.1 45.0 142 37,260 99 5 28 43 24 489.3 47.7 34,251\nAfrican Amer./Black 23 100 9 26 43 22 489.0 47.0 23 6,626 100 5 29 43 23 489.8 48.8 6,004\nAsian 17 100 18 47 24 12 503.0 16 4,995 99 27 47 20 6 514.7 56.2 4,687\nHispanic/Latino 44 100 11 27 43 18 496.6 47.8 40 15,147 99 6 29 41 25 489.8 48.9 13,889\nWhite 239 100 10 43 36 11 501.0 50.7 230 42,489 99 15 46 31 9 505.5 49.9 40,809\nMale 173 100 6 39 39 17 494.5 44.4 168 36,926 99 9 36 38 17 496.3 46.0 34,642\nFemale 154 100 15 42 34 9 505.7 56.6 145 35,324 99 17 45 29 9 506.6 54.1 33,558\nTitle 1 322 100 10 41 37 12 500.5 50.4 308 28,398 99 7 33 40 20 493.3 48.9 26,455\nNon-Title 1 5 5 43,850 99 16 46 29 9 506.5 50.7 41,745\nNon-Disabled 253 100 13 50 30 7 506.0 52.5 243 57,652 100 15 47 31 6 506.9 51.4 55,236\nNon-Economically Disadvantaged 233 100 13 42 34 11 502.7 51.1 224 45,878 99 17 47 28 7 508.2 51.5 43,980\nEL 4 4 4,863 98 0 8 38 53 470.0 48.3 3,779\nFormer EL 18 100 0 17 61 22 481.8 16 7,443 100 8 42 41 9 500.0 53.4 7,243\nEver EL 27 100 4 11 59 26 481.1 38.0 24 13,593 99 6 30 39 25 490.0 51.7 12,268\n2019 327 100 10 40 36 13 499.8 50.1 313 72,257 99 13 41 33 13 501.3 50.0 68,204\nStudents w/ Disabilities 74 100 1 12 53 34 479.2 42.3 70 14,580 99 2 14 50 35 480.4 44.5 12,935\nEL and Former EL 22 100 0 32 59 9 488.7 49.4 20 12,304 100 6 29 46 19 491.3 50.9 11,061\nEconomically Disadvantaged 94 100 3 33 48 16 492.9 44.7 89 26,348 99 3 27 50 19 489.5 46.8 24,216\nHigh Needs 149 100 3 28 49 20 489.1 45.1 142 37,241 99 4 27 49 19 490.2 47.7 34,238\nAfrican Amer./Black 23 100 0 48 35 17 489.4 48.5 23 6,617 100 3 27 51 20 489.1 47.5 6,000\nAsian 17 100 12 47 35 6 504.7 16 5,001 100 34 46 17 3 519.4 59.9 4,698\nHispanic/Latino 44 100 9 39 36 16 500.0 57.4 40 15,150 100 4 27 50 19 489.7 47.1 13,913\nWhite 239 100 5 49 38 7 501.0 48.8 229 42,459 99 11 48 35 6 504.3 50.2 40,753\nMale 173 100 7 47 35 11 499.8 48.5 168 36,925 99 11 40 37 12 500.3 48.9 34,642\nFemale 154 100 5 48 40 7 500.7 52.9 144 35,297 99 10 42 39 9 501.3 51.1 33,525\nTitle 1 322 100 6 48 37 8 500.8 50.8 307 28,389 99 5 32 47 15 493.5 48.9 26,448\nNon-Title 1 5 5 43,827 99 14 47 32 7 505.5 50.7 41,719\nNon-Disabled 253 100 7 58 33 2 506.0 52.9 242 57,636 100 13 48 35 4 505.6 51.3 55,232\nNon-Economically Disadvantaged 233 100 7 54 33 6 503.1 52.9 223 45,869 99 14 49 31 5 507.2 51.7 43,951\nEL 4 4 4,870 100 1 13 49 38 477.8 46.9 3,825\nFormer EL 18 100 0 33 56 11 489.7 16 7,434 100 9 39 45 7 500.0 52.9 7,236\nEver EL 27 100 4 26 59 11 490.9 50.9 24 13,592 100 7 30 45 18 492.7 51.1 12,309\n2019 327 100 6 48 37 9 500.2 50.5 312 72,229 99 10 41 38 10 500.8 50.0 68,171\nStudents w/ Disabilities 60 100 2 15 48 35 483.4 53.7 50 14,359 98 1 11 47 41 478.0 45.2 12,674\nEL and Former EL 17 100 0 24 47 29 486.8 15 11,411 99 3 24 46 27 486.2 50.4 10,143\nEconomically Disadvantaged 91 100 7 30 45 19 493.8 48.8 83 25,139 99 3 25 47 25 487.6 46.8 22,910\nHigh Needs 128 100 5 26 46 23 491.4 48.3 115 35,865 99 3 24 48 25 487.7 47.5 32,703\nAfrican Amer./Black 15 100 7 20 60 13 496.1 14 6,501 99 3 26 48 24 488.5 47.7 5,857\nAsian 26 100 35 42 19 4 517.2 60.1 24 4,781 100 20 51 24 6 511.4 55.9 4,447\nHispanic/Latino 28 100 4 29 46 21 491.6 57.1 27 14,627 99 3 26 46 25 487.7 47.7 13,353\nMulti-Race, Non-Hisp./Lat. 5 4 2,557 99 12 39 38 12 500.6 48.5 2,402\nWhite 209 100 11 40 38 11 501.6 50.2 199 42,498 99 10 46 36 9 503.0 50.5 40,714\nMale 135 100 6 39 39 16 496.9 52.6 124 36,562 99 5 35 42 17 494.5 48.6 34,199\nFemale 149 100 17 38 38 7 506.0 51.6 145 34,611 99 12 45 34 9 503.8 51.3 32,755\nTitle 1 280 100 12 39 38 11 502.2 52.2 267 24,965 99 4 30 45 21 491.1 48.3 22,958\nNon-Title 1 4 2 46,208 99 11 45 34 10 503.3 50.8 44,001\nNon-Disabled 224 100 14 45 36 5 506.3 51.7 219 56,814 99 10 47 36 6 504.0 51.1 54,285\nNon-Economically Disadvantaged 193 100 14 43 35 8 505.5 53.5 186 46,034 99 11 48 33 7 505.2 51.6 44,049\nFormer EL 17 100 0 24 47 29 486.8 15 6,619 100 4 37 49 10 496.5 50.9 6,438\nEver EL 19 100 5 21 42 32 488.3 17 13,374 99 4 27 44 24 488.8 50.8 12,036\n2019 284 100 12 39 38 11 501.8 52.0 269 71,185 99 8 40 38 13 499.0 49.9 66,966\nStudents w/ Disabilities 60 100 0 8 48 43 475.8 44.3 50 14,325 98 1 11 47 40 477.3 47.9 12,626\nEL and Former EL 17 100 0 41 47 12 492.7 15 11,426 99 4 24 46 26 486.3 50.1 10,182\nEconomically Disadvantaged 91 100 5 21 51 23 487.3 44.9 83 25,109 99 3 23 49 25 485.6 47.3 22,887\nHigh Needs 128 100 4 20 50 26 485.7 45.9 115 35,829 99 3 23 49 25 486.3 48.4 32,665\nAfrican Amer./Black 15 100 7 20 53 20 490.6 14 6,486 99 2 23 49 25 485.4 47.4 5,846\nAsian 26 100 19 58 19 4 512.9 52.5 24 4,785 100 34 41 19 5 517.5 56.4 4,457\nHispanic/Latino 28 100 0 21 61 18 486.5 48.1 27 14,638 99 3 24 48 25 485.7 48.3 13,370\nMulti-Race, Non-Hisp./Lat. 5 4 2,561 99 14 35 37 13 499.8 50.6 2,402\nWhite 209 100 8 35 43 14 495.7 44.1 199 42,476 99 11 43 37 9 502.2 50.3 40,651\nMale 135 100 7 35 41 17 494.7 45.6 124 36,558 99 10 36 39 15 497.5 49.8 34,187\nFemale 149 100 9 35 46 10 497.2 44.0 145 34,599 99 11 39 39 12 499.0 50.4 32,719\nTitle 1 280 100 8 35 44 13 496.4 44.6 267 24,946 99 4 29 46 21 489.5 48.2 22,957\nNon-Title 1 4 2 46,211 99 14 42 35 10 502.9 51.1 43,953\nNon-Disabled 224 100 10 42 43 5 501.0 44.8 219 56,832 100 13 44 37 7 503.1 50.6 54,284\nNon-Economically Disadvantaged 193 100 9 41 41 9 500.1 44.7 186 46,048 99 15 45 33 7 505.0 51.5 44,023\nFormer EL 17 100 0 41 47 12 492.7 15 6,610 100 7 35 46 12 495.4 51.3 6,433\nEver EL 19 100 5 37 47 11 494.4 17 13,389 100 6 26 44 24 488.9 50.3 12,066\n2019 284 100 8 35 44 13 496.0 44.7 269 71,169 99 11 37 39 13 498.2 50.1 66,917\nStudents w/ Disabilities 41 98 0 2 37 61 469.7 31.9 34 13,581 97 1 13 44 42 477.3 45.9 12,014\nEL and Former EL 11 100 9 36 36 18 494.4 9 9,282 98 2 20 43 34 481.3 49.2 8,078\nEconomically Disadvantaged 78 99 4 35 41 21 490.4 37.6 69 23,911 98 3 26 44 26 487.1 46.5 21,812\nHigh Needs 104 99 3 28 40 29 486.6 36.6 92 33,489 98 3 25 45 26 486.7 47.4 30,535\nAfrican Amer./Black 16 100 13 31 31 25 494.1 14 6,373 99 4 28 44 24 488.6 47.7 5,794\nAsian 22 100 27 36 23 14 506.9 42.5 20 4,776 100 26 47 21 6 513.2 56.9 4,516\nHispanic/Latino 27 100 4 30 48 19 490.4 37.2 26 13,788 99 3 27 43 27 486.8 47.0 12,598\nWhite 231 99 7 43 36 13 498.1 34.0 219 43,137 99 13 46 32 9 504.0 50.3 41,588\nMale 160 99 5 31 41 23 489.9 37.3 151 36,205 99 7 35 39 18 494.4 48.7 34,145\nFemale 142 99 13 54 30 4 506.9 32.0 134 34,540 99 15 46 30 9 505.4 51.2 32,867\nTitle 1 299 100 9 42 36 13 498.3 34.9 284 23,778 99 5 31 42 21 491.1 47.5 22,107\nNon-Disabled 261 100 10 48 36 7 502.0 35.2 251 57,174 99 14 47 33 7 504.8 50.8 55,012\nNon-Economically Disadvantaged 224 100 10 44 34 12 500.6 33.9 216 46,843 99 15 47 30 7 506.2 51.6 45,214\nFormer EL 10 100 10 40 40 10 497.2 8 4,577 100 4 36 48 12 494.2 50.3 4,426\nEver EL 17 100 12 29 47 12 494.7 14 12,978 99 5 27 40 27 487.5 49.5 11,668\n2019 302 99 9 42 36 14 498.0 34.8 285 70,767 99 11 40 35 14 499.8 49.9 67,029\nStudents w/ Disabilities 41 98 2 2 46 49 473.3 41.5 35 13,571 98 1 10 49 40 478.2 45.0 11,996\nEL and Former EL 11 100 0 18 73 9 492.7 9 9,294 99 3 19 50 28 484.9 51.6 8,091\nEconomically Disadvantaged 78 99 1 24 59 15 488.5 41.9 70 23,910 99 3 22 51 24 486.8 47.6 21,809\nHigh Needs 104 99 2 19 56 23 485.7 43.3 93 33,475 99 3 21 52 24 486.9 48.1 30,514\nAfrican Amer./Black 16 100 6 38 31 25 494.2 14 6,368 99 3 22 52 23 487.5 51.5 5,788\nAsian 22 100 9 59 32 0 505.5 53.9 20 4,776 100 33 43 20 4 518.4 57.8 4,522\nHispanic/Latino 27 100 0 30 44 26 486.3 48.1 26 13,809 99 3 22 51 24 486.9 49.8 12,622\nWhite 231 99 5 35 51 9 496.5 43.2 220 43,102 99 10 43 39 8 502.4 48.8 41,546\nMale 159 99 7 29 49 15 493.6 42.5 151 36,220 99 10 35 41 15 498.0 47.7 34,166\nFemale 143 100 3 45 47 5 499.1 46.6 135 34,513 99 9 39 42 10 500.1 52.1 32,831\nTitle 1 299 100 5 37 48 9 496.5 44.6 285 23,791 99 5 27 49 19 491.0 49.8 22,124\nNon-Disabled 261 100 6 42 48 4 499.6 44.9 251 57,171 99 12 43 39 6 503.6 50.9 55,015\nNon-Economically Disadvantaged 224 100 7 41 44 8 498.9 45.3 216 46,831 99 13 45 36 6 505.2 51.0 45,202\nFormer EL 10 100 0 20 80 0 495.3 8 4,572 99 6 31 52 11 495.3 53.9 4,422\nEver EL 17 100 6 24 59 12 494.2 14 12,991 99 6 24 47 22 490.2 52.2 11,680\n2019 302 99 5 36 48 10 496.2 44.5 286 70,755 99 10 37 41 12 499.0 49.9 67,014\nStudents w/ Disabilities 41 98 0 12 39 49 475.3 13,455 97 1 14 48 37 479.9\nEL and Former EL 11 100 0 0 73 27 480.6 9,255 99 1 14 51 34 479.7\nEconomically Disadvantaged 76 96 0 21 55 24 485.7 23,771 98 2 22 51 25 485.6\nHigh Needs 102 97 0 19 52 29 483.7 33,300 98 2 22 52 24 486.0\nAfrican Amer./Black 16 100 0 25 50 25 483.8 6,337 99 1 20 54 25 484.6\nAsian 22 100 0 36 55 9 496.7 4,771 100 19 47 28 6 509.3\nHispanic/Latino 26 96 0 12 65 23 482.5 13,747 99 2 20 51 26 484.7\nWhite 229 98 1 43 45 11 495.5 42,978 99 10 45 37 7 503.1\nMale 159 99 1 38 42 19 492.1 36,084 99 9 38 40 14 498.1\nFemale 140 98 1 40 54 6 496.4 34,410 99 8 39 43 11 498.3\nTitle 1 296 99 1 40 47 12 494.3 23,704 99 3 26 50 21 488.7\nNon-Disabled 258 98 1 43 48 7 496.9 57,048 99 10 44 40 7 502.2\nNon-Economically Disadvantaged 223 99 1 45 44 9 497.0 46,731 99 12 46 36 6 504.5\nFormer EL 10 100 0 0 80 20 481.9 4,559 99 2 25 59 13 490.4\nEver EL 17 100 0 12 65 24 484.2 12,948 99 3 21 49 27 485.2\n2019 299 98 1 39 47 13 494.1 70,516 99 8 38 41 13 498.2\nStudents w/ Disabilities 26 96 0 8 46 46 482.0 18 12,271 96 2 20 52 26 486.2 42.5 9,894\nEL and Former EL 13 100 0 23 54 23 478.9 9 7,251 96 2 17 48 34 480.6 40.0 4,484\nEconomically Disadvantaged 47 98 6 34 43 17 493.5 35.1 36 21,782 97 5 34 44 18 493.4 43.0 17,442\nHigh Needs 68 99 4 29 44 22 491.4 35.7 51 30,654 97 4 32 46 18 492.6 43.6 24,586\nAfrican Amer./Black 19 100 0 68 26 5 501.9 15 6,304 98 4 34 46 16 493.8 42.6 4,930\nAsian 20 100 15 55 30 0 509.5 17 4,814 99 26 51 18 4 516.8 54.8 4,212\nHispanic/Latino 18 100 17 28 44 11 499.5 15 12,854 97 4 32 44 19 492.0 42.0 10,121\nWhite 164 99 9 55 27 9 505.8 40.1 145 44,430 99 16 54 26 4 510.7 51.4 40,539\nMale 120 100 7 47 35 12 500.4 39.1 106 35,911 98 11 44 35 10 503.0 50.7 31,032\nFemale 108 99 11 64 21 4 510.5 40.6 93 34,859 99 16 51 27 6 509.5 48.0 30,872\nNon-Title 1 228 100 9 55 29 8 505.2 39.8 199 50,767 99 16 52 26 6 510.2 51.0 45,387\nNon-Disabled 202 100 10 61 26 3 507.6 39.7 181 58,544 99 16 53 27 4 510.1 50.7 52,047\nNon-Economically Disadvantaged 181 100 9 60 25 6 508.1 40.9 163 49,033 99 17 54 25 4 511.8 51.9 44,499\nEL 5 2 4,045 95 0 3 41 56 468.2 35.4 1,717\nFormer EL 8 7 3,206 99 3 34 56 7 495.8 42.8 2,767\nEver EL 28 100 4 36 46 14 490.9 37.7 23 12,961 97 6 31 42 21 492.0 44.1 9,797\nHomeless 2 1 1,188 94 2 20 44 33 482.2 38.2 679\n2019 228 100 9 55 29 8 505.2 39.8 199 70,815 98 13 48 31 8 506.2 49.4 61,941\nStudents w/ Disabilities 27 100 7 4 48 41 482.3 19 12,096 95 2 17 50 32 483.8 43.3 9,747\nEL and Former EL 13 100 0 23 69 8 486.6 9 7,156 97 3 20 49 28 485.4 45.5 4,474\nEconomically Disadvantaged 47 98 6 32 45 17 493.6 51.8 38 21,459 96 4 31 47 19 492.1 43.7 17,232\nHigh Needs 68 99 7 26 47 19 493.4 49.1 53 30,266 97 4 29 48 19 491.6 44.8 24,344\nAfrican Amer./Black 19 100 5 42 53 0 502.4 16 6,235 97 4 31 47 18 492.3 47.4 4,882\nAsian 20 100 20 60 20 0 514.4 17 4,803 99 39 44 15 3 522.5 57.7 4,197\nHispanic/Latino 18 100 11 39 33 17 496.2 15 12,676 97 4 30 47 19 491.0 42.6 10,044\nWhite 164 99 11 46 35 7 504.2 43.2 146 44,273 99 14 52 28 5 509.0 50.9 40,407\nMale 119 99 11 45 38 7 502.7 47.5 106 35,662 98 14 43 33 10 504.4 50.2 30,875\nFemale 109 100 12 50 32 6 506.5 46.4 95 34,686 98 13 48 32 7 505.9 49.1 30,747\nNon-Title 1 228 100 11 47 35 7 504.5 46.9 201 50,560 98 16 50 27 7 509.1 51.2 45,197\nNon-Disabled 201 100 12 53 33 2 507.0 47.8 182 58,296 99 16 51 29 4 509.2 50.9 51,911\nNon-Economically Disadvantaged 181 100 13 51 33 4 507.3 45.8 163 48,933 99 17 52 26 5 510.8 52.0 44,426\nEL 5 2 3,969 96 1 8 49 42 475.5 41.2 1,713\nFormer EL 8 7 3,187 98 6 36 49 9 497.3 48.2 2,761\nEver EL 28 100 7 39 43 11 495.3 51.9 23 12,816 97 8 31 43 18 494.4 47.4 9,760\nHomeless 2 1 1,164 95 2 17 49 31 482.1 39.8 676\n2019 228 100 11 47 35 7 504.5 46.9 201 70,392 98 13 45 33 9 505.1 49.7 61,658\nStudents w/ Disabilities 358 99 1 16 49 33 482.5 46.0 272 85,469 98 1 15 49 35 481.1 44.4 63,657\nEL and Former EL 96 100 3 36 45 16 491.9 48.9 69 71,206 99 4 28 46 22 489.3 50.4 52,071\nEconomically Disadvantaged 517 99 6 37 43 14 495.9 49.2 400 154,184 99 4 29 47 20 490.6 46.7 117,961\nHigh Needs 780 100 4 32 45 19 492.6 48.1 605 217,919 99 4 29 47 20 490.7 47.4 166,706\nAfrican Amer./Black 113 100 9 36 42 13 498.2 48.0 87 38,596 99 4 30 47 19 491.2 47.7 29,581\nAsian 118 100 18 49 27 6 508.3 56.0 90 29,315 99 21 51 23 5 512.8 56.6 22,891\nHispanic/Latino 199 100 8 34 46 12 497.1 50.7 151 88,599 99 4 29 46 21 490.6 47.7 67,811\nMulti-Race, Non-Hisp./Lat. 35 100 6 69 20 6 506.9 51.4 29 16,649 99 12 44 35 9 503.6 50.1 12,935\nWhite 1,354 100 9 46 35 9 502.5 49.5 1,077 249,542 99 11 48 34 7 504.9 50.2 202,046\nMale 947 100 5 41 41 13 497.2 48.0 752 217,855 99 7 39 40 14 497.3 48.1 171,717\nFemale 875 100 14 49 31 6 507.3 52.1 685 206,142 99 13 46 33 8 505.3 51.8 164,558\nTitle 1 1,547 100 10 45 36 9 502.5 50.4 1,260 179,578 99 5 34 45 16 494.4 48.2 135,286\nNon-Title 1 275 99 6 44 38 12 500.2 46.9 177 244,408 99 13 49 31 7 506.2 51.0 201,012\nNon-Disabled 1,464 100 12 52 33 4 506.6 50.9 1,165 338,520 100 12 49 34 5 505.9 51.2 272,641\nNon-Economically Disadvantaged 1,305 100 11 48 33 8 504.5 50.2 1,037 269,802 99 13 50 31 6 507.2 51.6 218,337\nEL 22 100 0 23 55 23 484.0 13 38,235 98 1 14 50 36 479.0 48.2 23,293\nFormer EL 74 100 4 41 42 14 494.3 50.0 56 32,971 100 7 44 41 7 501.0 52.2 28,778\nEver EL 112 100 5 32 46 16 492.3 46.9 83 79,509 99 5 30 45 21 490.8 50.6 60,081\nHomeless 11 100 0 27 36 36 480.4 5 9,164 99 2 21 47 30 483.6 45.1 6,140\n2019 1,822 100 9 45 36 9 502.1 50.0 1,437 424,052 99 10 42 37 11 501.2 49.9 336,316\nStudents w/ Disabilities 356 99 1 12 49 38 478.6 44.2 273 85,456 99 1 14 47 38 479.5 45.0 63,572\nEL and Former EL 96 100 1 34 52 13 491.7 53.9 69 71,286 100 4 27 46 22 489.3 50.2 52,235\nEconomically Disadvantaged 514 99 3 29 51 17 490.3 47.4 400 154,175 99 3 26 49 22 488.1 46.7 117,971\nHigh Needs 777 99 3 26 50 21 488.1 47.8 605 217,926 99 3 26 49 21 488.8 47.6 166,684\nAfrican Amer./Black 113 100 4 41 38 18 493.7 46.3 87 38,588 100 2 25 50 22 487.8 47.9 29,564\nAsian 118 100 9 56 31 4 505.1 56.5 90 29,338 100 28 48 20 4 516.4 58.3 22,940\nHispanic/Latino 198 100 4 29 51 16 492.3 53.8 151 88,693 100 3 26 49 22 488.2 47.6 67,933\nMulti-Race, Non-Hisp./Lat. 35 100 3 43 49 6 496.9 46.9 29 16,654 99 12 39 38 11 500.8 50.2 12,929\nWhite 1,352 100 6 41 44 10 497.9 49.4 1,076 249,451 99 10 46 37 8 502.7 50.1 201,856\nMale 944 100 5 39 42 13 496.6 48.8 751 217,919 99 9 39 38 13 499.0 49.2 171,764\nFemale 875 100 6 42 44 8 498.4 51.3 685 206,118 99 8 41 41 10 499.4 50.7 164,467\nTitle 1 1,545 100 6 41 43 10 498.0 49.4 1,259 179,652 99 4 31 47 17 492.0 48.4 135,356\nNon-Title 1 274 99 5 35 44 16 494.8 54.4 177 244,362 99 12 46 34 8 504.5 51.0 200,896\nNon-Disabled 1,463 100 6 47 42 4 501.8 51.4 1,163 338,561 100 11 47 37 5 503.8 51.1 272,680\nNon-Economically Disadvantaged 1,305 100 7 45 40 8 500.3 51.0 1,036 269,840 100 12 48 34 6 505.5 51.7 218,281\nEL 22 100 0 14 59 27 480.1 13 38,333 100 1 16 49 34 480.1 47.5 23,464\nFormer EL 74 100 1 41 50 8 495.1 56.0 56 32,953 100 8 41 43 8 499.9 52.4 28,771\nEver EL 112 100 4 31 53 13 492.6 53.1 83 79,591 100 5 29 45 21 490.8 50.5 60,235\nHomeless 11 100 0 9 64 27 485.5 5 9,183 99 1 18 49 32 481.1 45.2 6,176\n2019 1,819 100 5 40 43 11 497.5 50.0 1,436 424,089 99 9 40 39 12 499.2 49.9 336,270\nStudents w/ Disabilities 107 97 0 15 43 42 479.0 28,229 98 2 15 47 36 480.5\nEL and Former EL 26 100 0 12 73 15 487.0 22,018 99 2 20 49 28 483.7\nEconomically Disadvantaged 161 97 1 29 49 22 489.1 50,646 99 2 24 50 24 486.9\nHigh Needs 245 98 0 25 50 24 487.5 71,151 99 3 25 50 23 487.6\nAfrican Amer./Black 36 100 11 31 42 17 495.1 12,897 99 2 22 52 25 485.5\nAsian 40 100 8 33 55 5 499.7 9,834 100 19 48 27 6 509.6\nHispanic/Latino 53 96 4 21 62 13 491.2 29,139 99 2 23 50 25 486.1\nMulti-Race, Non-Hisp./Lat. 12 100 0 67 33 0 507.3 5,330 99 11 39 38 11 501.1\nWhite 459 99 4 43 42 12 497.6 84,897 99 10 46 36 7 503.3\nMale 308 99 4 40 41 16 495.6 73,220 99 9 39 38 14 498.6\nFemale 294 99 5 40 48 6 499.0 69,320 99 8 39 42 11 498.5\nTitle 1 520 99 4 40 44 12 496.8 56,318 99 4 29 48 20 490.1\nNon-Title 1 82 98 6 39 45 10 500.2 86,226 99 11 46 35 8 504.0\nNon-Disabled 495 99 6 45 44 5 500.9 114,317 99 10 45 38 6 502.7\nNon-Economically Disadvantaged 441 100 6 44 42 7 500.2 91,898 99 12 48 35 6 504.9\nFormer EL 20 100 0 15 75 10 490.3 11,012 100 5 34 52 10 495.2\nEver EL 35 100 0 14 71 14 487.8 26,594 99 3 23 48 25 486.3\n2019 602 99 5 40 44 11 497.2 142,567 99 8 39 40 12 498.6\nStudents w/ disabilities 26 100 4 12 54 31 62.5 N/A N/A 12,024 98 7 31 42 20 72.5 N/A N/A\nEL and Former EL 9 - - - - - - - - 6,525 98 9 30 41 19 69.3 N/A N/A\nEcon. Disadvantaged 41 100 7 46 34 12 79.3 N/A N/A 20,641 98 13 41 34 12 79.2 N/A N/A\nHigh needs 59 100 7 37 39 17 74.6 N/A N/A 29,221 98 12 40 35 12 79.0 N/A N/A\nAfr. Amer./Black 14 100 21 50 29 0 91.1 N/A N/A 5,912 99 12 41 36 11 79.6 N/A N/A\nAsian 20 100 15 60 20 5 87.5 N/A N/A 4,640 99 56 32 9 3 95.4 N/A N/A\nHispanic/Latino 13 100 15 31 38 15 73.1 N/A N/A 12,032 98 12 40 34 13 77.9 N/A N/A\nWhite 159 100 17 60 19 4 90.7 N/A N/A 43,583 99 35 47 16 3 92.8 N/A N/A\nMale 111 100 12 56 26 6 86.3 N/A N/A 34,671 99 30 42 22 7 87.9 N/A N/A\nFemale 101 100 22 60 14 4 92.6 N/A N/A 33,805 99 31 46 19 4 90.3 N/A N/A\nNon-Title1 212 100 17 58 20 5 89.3 N/A N/A 49,302 99 36 44 16 4 91.9 N/A N/A\nNon-disabled 186 100 18 65 16 2 93.0 N/A N/A 56,493 99 35 46 16 2 92.6 N/A N/A\nNon-Econ. Disadvantaged 171 100 19 61 17 4 91.7 N/A N/A 47,876 99 38 45 15 3 93.4 N/A N/A\nEver EL 22 100 5 41 36 18 69.3 N/A N/A 12,122 99 18 38 32 12 78.8 N/A N/A\n2019 212 100 17 58 20 5 89.3 N/A N/A 68,517 99 30 44 20 5 89.1 N/A N/A\n2018 189 100 25 47 26 3 88.5 N/A N/A 67,875 99 32 43 21 5 89.3 N/A N/A