**Variable recoding scheme in the format "txt_r", where "txt" is the original variable name. **Using exit poll questionnaire as technical document. **Exit poll of 2008 Canadian federal election, by IPSOS REID; via web survey of pre-existing web panel. **DO FILE TITLE: IPSOS EXIT POLL 2008 v1.0 ** when versioning the do file, list changes here: ** 1. ** 2. ** 3. ** 4. **GENERAL NOTES: variable labels replicate the substance, but not always the wording, of the survey questions. **respondent id variable gen rid_r = respid **region variable, recoded to run from East to West gen region_r = region recode region_r 6=1 5=2 4=3 3=4 2=5 1=6 7=7 label define region_r 1 "Atlantic 1" 2 "Quebec 2" 3 "Ontario 3" 4 "Man/Sask 4" 5 "Alberta 5" 6 "BC 6" 7 "NWT/YK/NU 7" label values region_r region_r **this variable overlaps with best possible region coding from the 2006 survey (i.e. excludes territories) gen region08_r = region recode region08_r 6=1 5=2 4=3 3=4 2=5 1=6 7=. label define region08_r 1 "Atlantic 1" 2 "Quebec 2" 3 "Ontario 3" 4 "Man/Sask 4" 5 "Alberta 5" 6 "BC 6" label values region08_r region08_r **recoded to collapse categories and to code as missing DK answers gen q1_r = q1 label variable q1_r "did you vote in today's election?" recode q1_r 1/2=1 4=0 5=. label define q1_r 1 "yes 1" 0 "no 0" label values q1_r q1_r **recoded to match coding from 2006 (i.e., to code as missing spoiled ballot and dk answers) gen q2_r = q2 label variable q2_r "which party did you vote for?" recode q2_r 1=2 2=1 3=3 4=5 5=4 6=6 7/8=. label define q2_r 1 "Liberal 1" 2 "Conservative 2" 3 "NDP 3" 4 "Green 4" 5 "BQ 5" 6 "Other 6" label values q2_r q2_r **recoding variable to code DK as missing. gen q3_r = q3 label variable q3_r "Is this the first election you have ever voted in?" recode q3_r 3=. 2=0 label define q3_r 1 "yes 1" 0 "no 0" label values q3_r q3_r **recoding variable to code DK as missing gen q22_r = q22 label variable q22_r "would you say that Canada is on the right track or wrong direction?" recode q22_r 3=. 2=0 label define q22_r 0 "wrong direction 0" 1 "right track 1" label values q22_r q22_r **recoding variable to code DK as missing gen q23_r = q23 label variable q23_r "which one of the following issues mattered most in deciding [party voted for]" label define q23_r 1 "fixing healthcare 1" 2 "cleaning corruption 2" 3 "managing economy 3" 4 "protecting enviornment 4" 5 "reducing taxes 5" 6 "social programs like childcare pensions 6" 7 "moral issues like abortion gaymar 7" /// 8 "employment jobs 8" 9 "national unity 9" 10 "fixing us relations 10" 11 "crime 11" 12 "immigration policies 12" 13 "preserving Atlantic Accord 13" 14 "other 14" 15 "dk not sure 15" label values q23_r q23_r gen q24_5_r = q24_5 label variable q24_5_r "which party best at...representing your province in Ottawa" label define q24_5_r 1 "Conservatives 1" 2 "Liberals 2" 3 "NDP 3" 4 "Bloc 4" 5 "Greens 5" 6 "DK 6" label values q24_5_r q24_5_r gen q24_7_r = q24_7 label variable q24_7_r "which party best at...dealing with moral issues like abortion gay marriage" label define q24_7_r 1 "Conservatives 1" 2 "Liberals 2" 3 "NDP 3" 4 "Bloc 4" 5 "Greens 5" 6 "DK 6" label values q24_7_r q24_7_r gen q26_r = q26 label variable q26_r "how do you expect your personal financial situation to be one year from now" recode q26_r 2=0 3=1 1=2 4=. label define q26_r 0 "worse shape 0" 1 "no difference 1" 2 " better shape 2" label values q26_r q26_r gen q27_1_r = q27_1 label variable q27_1_r "I am worried about losing my job" recode q27_1_r 5=. replace q27_1_r = q27_1_r*-1+5 label define q27_1_r 1 "strongly disagree 1" 2 "somewhat disagree 2" 3 "somewhat agree 3" 4 "srongly agree 4" label values q27_1_r q27_1_r gen q27_5_r = q27_5 label variable q27_5_r "when govt gets involved in the economy, it usually does more harm than good" recode q27_5_r 5=. replace q27_5_r = q27_5_r*-1+5 label define q27_5_r 1 "strongly disagree 1" 2 "somewhat disagree 2" 3 "somewhat agree 3" 4 "strongly agree 4" label values q27_5_r q27_5_r gen q27_12r = q27_12 label variable q27_12r "my religious beliefs were important in deciding how I voted" recode q27_12r 5=. replace q27_12r = q27_12r*-1+5 label define q27_12r 1 "strongly disagree 1" 2 "somewhat disagree 2" 3 "somewhat agree 3" 4 "strongly agree 4" label values q27_12r q27_12r gen q27_16_r = q27_16 label variable q27_16_r "I dont think what the fed govt does has much impact on me" recode q27_16_r 5=. replace q27_16_r = q27_16_r*-1+5 label define q27_16_r 1 "strongly disagree 1" 2 "somewhat disagree 2" 3 "somewhat agree 3" 4 "strongly agree 4" label values q27_16_r q27_16_r gen q31_r = q31 label variable q31_r "govt does does too much" recode q31_r 3=. 1=0 2=1 label define q31_r 0 "govt should do more 0" 1 "govt does too much 1" gen d6_1_r = d6_1 label variable d6_1_r "visible minority gen d3_r = d3 recode d3_r 1=1 2=0 3=. label variable d3_r "family member lost job in last year" gen d7_r = d7 label variable d7_r "born in Canada" recode d7_r 3=. 2=0 label define d7_r 1 "yes 1" 0 "no 0" label values d7_r d7_r gen d8_r = 2008-d8val if d8val~=0 label variable d8_r "years in Canada" gen d10_r = d10 label variable d10_r "church attendance" recode d10_r 8=. replace d10_r = d10_r *-1+8 label define d10_r 7 "More than once a week 7" 6 "once a week 6" 5 "a few times a month 5" 4 "once a month 4" 3 "a few times a year 3" 2 "at least once a year 2" 1 "not at all 1" label values d10_r d10_r gen d11_r = d11 label variable d11_r "which of the following best describes your religious identity?" label define d11_r 1 "Roman Catholic 1" 2 "Protestant/other Christian 2" 3 "Muslim 3" 4 "Jewish 4" 5 "Hindu 5" 6 "Sikh 6" /// 7 "other 7" 8 "no religious identity 8" 9 "dk/ref 9" label values d11_r d11_r gen d12_r = d12 label variable d12_r "what specific church denomination?" **Value 35 is undocumented. The coding of this variable corresponds to the order of categories in the questionnaire. recode d12_r 34=99 35=. label define d12_r 1 "7th day adventist 1" 2 "christn missionary alliance 2" 3 "anglican 3" 4 "associated gospel 4" 5 "baptist (convention) 5" 6 "baptist (fellowship) 6" /// 7 "christian brethren 7" 8 "charismatic 8" 9 "christian 9" 10 "church of christ 10" 11 "church of God 11" 12 "evangelical 12" 13 "jehova's witness 13" 14 "lutheran (evangelical) 14" /// 15 "lutheran (church of Canada) 15" 16 "lutheran (church of america) 16" 17 "menonite brethren 17" 18 "menonite church of Canada 18" 19 "methodist 19" /// 20 "mormon (LDS) 20" 21 "non-denominational 21" 22 "nazarene 22" 23 "orthodox (Greek and Ukrainian) 23" 24 "pentecostal assemblies of canada 24" 25 "pentecostal (united) 25" /// 26 "presbyterian 26" 27 "protestant 27" 28 "reformed 28" 29 "salvation army 29" 30 "unitarian 30" 31 "united 31" 32 "weslyan 32" 33 "other (specify) 33" 99 "dk/ref 99" label values d12_r d12_r **error checks = name(date) gen religion = d11_r recode religion 3/7=6 recode religion 2=2 if d12_r ==31 recode religion .=2 if d12_r ==31 recode religion 2=3 if d12_r==3 | d12_r==5 | d12_r==26 | d12_r==27 | d12_r==28 | d12_r==30 | d12_r==32 | d12_r==15 | d12_r==16 | d12_r==19 recode religion .=3 if d12_r==3 | d12_r==5 | d12_r==26 | d12_r==27 | d12_r==28 | d12_r==30 | d12_r==32 | d12_r==15 | d12_r==16 | d12_r==19 recode religion 2=4 if d12_r==1 | d12_r==4 | d12_r==6 | d12_r==7 | d12_r==8 | d12_r==2 | d12_r==10 | d12_r==11 | d12_r ==12 | d12_r==13 | d12_r==14 | d12_r==22 | d12_r==24 | d12_r==25 | d12_r==29 recode religion .=4 if d12_r==1 | d12_r==4 | d12_r==6 | d12_r==7 | d12_r==8 | d12_r==2 | d12_r==10 | d12_r==11 | d12_r ==12 | d12_r==13 | d12_r==14 | d12_r==22 | d12_r==24 | d12_r==25 | d12_r==29 recode religion 2=5 if d12_r==9 | d12_r==17 | d12_r==18 | d12_r==20 | d12_r==21 | d12_r==23 | d12_r==33 recode religion .=5 if d12_r==9 | d12_r==17 | d12_r==18 | d12_r==20 | d12_r==21 | d12_r==23 | d12_r==33 recode religion 2=. if d12_r==99 recode religion 8=7 recode religion 9=. label define religion 1 "Catholic 1" 2 "United 2" 3 "Protestant 3" 4 "Evangelical 4" 5 "Other Christian 5" 6 "Other 6" 7 "None 7" label values religion religion gen female = gender recode female 1=0 2=1 gen age_years = ageval gen language = lang recode language 2=1 1=0 gen income = hhincome recode income 31=. gen employment = emp recode employment 9=. label define employment 1 "full time 1" 2 "part time 2" 3 "self employed 3" 4 "homemaker 4" 5 "student 5" 6 "retired 6" 7 "unemployed 7" 8 "other 8" label values employment employment gen occupation = occd recode occupation 1=0 7=1 8=1 13=1 15=1 19=1 20=1 27=1 6=2 4=3 5=3 14=3 16=3 30=3 32=3 29=3 /// 3=4 10=4 11=4 17=4 18=4 24=4 25=4 26=4 28=4 31=4 33=4 2=5 21=5 22=5 34=6 9=7 12=7 23=7 35=7 label define occupation 0 "None 0" 1 "Blue Collar 1" 2 "Technical 2" 3 "Service 3" 4 "Professional 4" 5 "Managerial 5" 6 "Self Employed 6" 7 "Other 7" label values occupation occupation gen province = canprov label variable province "province" recode province 10=1 9=2 8=3 7=4 6=5 5=6 4=7 3=8 2=9 1=10 11/13= 11 15=. label define province 1 "NL 1" 2 "PE 2" 3 "NS 3" 4 "NB 4" 5 "QC 5" 6 "ON 6" 7 "MB 7" 8 "SK 8" 9 "AB 9" 10 "BC 10" 11 "North 11" label values province province gen provunemp = 0 recode provunemp 0= .132 if province==1 recode provunemp 0= .108 if province==2 recode provunemp 0= .077 if province==3 recode provunemp 0= .086 if province==4 recode provunemp 0= .072 if province==5 recode provunemp 0= .065 if province==6 recode provunemp 0= .042 if province==7 recode provunemp 0= .041 if province==8 recode provunemp 0= .032 if province==9 recode provunemp 0= .046 if province==10 recode provunemp 0= . if province==11 gen immigrant = d7_r gen minority = d6_1_r gen education = educ recode education 9=. label define education 1 "primary or less 1" 2 "some hs 2" 3 "hs 3" 4 "some college 4" 5 "complete college 5" 6 "some university 6" 7 "undergrad degree 7" 8 "grad degree 8" label values education education gen rururb = citysize recode rururb 7=. replace rururb = rururb *-1+7 label define rururb 1 "under 1499 1" 2 "1500-9999 2" 3 "10k-99999 3" 4 "100k-499999 4" 5 "500k-999999 5" 6 "1000k + 6" label values rururb rururb clonevar churchatt = d10_r gen unemployed = employment recode unemployed 1/6=0 7=1 8=0 clonevar constituency = seat tab province, gen(prov) label define prov1 0 "" 1 "NL" label define prov2 0 "" 1 "PE" label define prov3 0 "" 1 "NS" label define prov4 0 "" 1 "NB" label define prov5 0 "" 1 "QC" label define prov6 0 "" 1 "ON" label define prov7 0 "" 1 "MB" label define prov8 0 "" 1 "SK" label define prov9 0 "" 1 "AB" label define prov10 0 "" 1 "BC" label define prov11 0 "" 1 "NO" label values prov1 prov1 label values prov2 prov2 label values prov3 prov3 label values prov4 prov4 label values prov5 prov5 label values prov6 prov6 label values prov7 prov7 label values prov8 prov8 label values prov9 prov9 label values prov10 prov10 label values prov11 prov11 drop if province==9 & seat ==184 **Creating the DVs clonevar govtpriv = q31_r gen nofeds = q27_16_r recode nofeds 1/2=0 3/4=1 gen q27_5_r01 = q27_5_r recode q27_5_r01 1/2=0 3/4=1 gen churchatt01 = d10_r recode churchatt01 6/7=1 1/5=0 gen cons_moral = q24_5_r recode cons_moral 1=1 2/5=0 6=. gen econ = ( q27_5_r01+ q31_r)/2 by seat, sort: egen seat_market = mean(q31_r) by seat, sort: egen seat_intervent = mean(q27_5_r01) by seat, sort: egen seat_churchatt = mean(d10_r) by seat, sort: egen seat_moral = mean(cons_moral) by seat, sort: egen seat_econ = mean(econ) clonevar jobworry = q27_1_r clonevar famunemp = d3_r order female age_years language immigrant minority income unemployed famunemp jobworry education rururb churchatt religion marital provunemp unemp, last rename unemp constunemp tab education, gen(educ) tab churchatt, gen(churchatt) tab religion, gen(religion) tab rururb, gen(rurub) recode marital 7=. tab marital, gen(marital) tab occupation, gen(occup) mi set wide mi register imputed female age_years language immigrant minority income unemployed famunemp jobworry occupation education rururb churchatt religion marital mi impute logit female prov1 prov2 prov3 prov4 prov5 prov7 prov8 prov9 prov10 age_years language immigrant minority income unemployed educ1 educ2 educ4 educ5 educ6 educ7 educ8 churchatt2 churchatt3 churchatt4 churchatt5 churchatt6 churchatt7 religion2 religion3 religion4 religion5 religion6 religion7 rurub1 rurub2 rurub4 rurub5 rurub6 marital2 marital3 marital4 marital5 marital6 occup1 occup3 occup4 occup5 occup6 occup7 occup8 famunemp jobworry, add(5) force mi impute reg age_years female prov1 prov2 prov3 prov4 prov5 prov7 prov8 prov9 prov10 language immigrant minority income unemployed educ1 educ2 educ4 educ5 educ6 educ7 educ8 churchatt2 churchatt3 churchatt4 churchatt5 churchatt6 churchatt7 religion2 religion3 religion4 religion5 religion6 religion7 rurub1 rurub2 rurub4 rurub5 rurub6 marital2 marital3 marital4 marital5 marital6 occup1 occup3 occup4 occup5 occup6 occup7 occup8 famunemp jobworry, replace force **NOT PROV EXCLUDED, QUEBEC VS ROC mi impute logit language age_years female prov5 immigrant minority income unemployed educ1 educ2 educ4 educ5 educ6 educ7 educ8 churchatt2 churchatt3 churchatt4 churchatt5 churchatt6 churchatt7 religion2 religion3 religion4 religion5 religion6 religion7 rurub1 rurub2 rurub4 rurub5 rurub6 marital2 marital3 marital4 marital5 marital6 occup1 occup3 occup4 occup5 occup6 occup7 occup8 famunemp jobworry,replace force mi impute logit immigrant age_years female prov1 prov2 prov3 prov4 prov5 prov7 prov8 prov9 prov10 language minority income unemployed educ1 educ2 educ4 educ5 educ6 educ7 educ8 churchatt2 churchatt3 churchatt4 churchatt5 churchatt6 churchatt7 religion2 religion3 religion4 religion5 religion6 religion7 rurub1 rurub2 rurub4 rurub5 rurub6 marital2 marital3 marital4 marital5 marital6 occup1 occup3 occup4 occup5 occup6 occup7 occup8 famunemp jobworry,replace force mi impute logit minority age_years female prov1 prov2 prov3 prov4 prov5 prov7 prov8 prov9 prov10 language immigrant income unemployed educ1 educ2 educ4 educ5 educ6 educ7 educ8 churchatt2 churchatt3 churchatt4 churchatt5 churchatt6 churchatt7 religion2 religion3 religion4 religion5 religion6 religion7 rurub1 rurub2 rurub4 rurub5 rurub6 marital2 marital3 marital4 marital5 marital6 occup1 occup3 occup4 occup5 occup6 occup7 occup8 famunemp jobworry,replace force mi impute reg income minority age_years female prov1 prov2 prov3 prov4 prov5 prov7 prov8 prov9 prov10 language immigrant unemployed educ1 educ2 educ4 educ5 educ6 educ7 educ8 churchatt2 churchatt3 churchatt4 churchatt5 churchatt6 churchatt7 religion2 religion3 religion4 religion5 religion6 religion7 rurub1 rurub2 rurub4 rurub5 rurub6 marital2 marital3 marital4 marital5 marital6 occup1 occup3 occup4 occup5 occup6 occup7 occup8 famunemp jobworry,replace force **NOTE OCCUPATION EXCLUXDED mi impute logit unemployed minority age_years female prov1 prov2 prov3 prov4 prov5 prov7 prov8 prov9 prov10 language immigrant income educ1 educ2 educ4 educ5 educ6 educ7 educ8 churchatt2 churchatt3 churchatt4 churchatt5 churchatt6 churchatt7 religion2 religion3 religion4 religion5 religion6 religion7 rurub1 rurub2 rurub4 rurub5 rurub6 marital2 marital3 marital4 marital5 marital6 famunemp jobworry,replace force mi impute mlogit marital unemployed minority age_years female prov1 prov2 prov3 prov4 prov5 prov7 prov8 prov9 prov10 language immigrant income educ1 educ2 educ4 educ5 educ6 educ7 educ8 churchatt2 churchatt3 churchatt4 churchatt5 churchatt6 churchatt7 religion2 religion3 religion4 religion5 religion6 religion7 rurub1 rurub2 rurub4 rurub5 rurub6,replace force mi impute mlogit occupation income minority age_years female prov1 prov2 prov3 prov4 prov5 prov7 prov8 prov9 prov10 language immigrant educ1 educ2 educ4 educ5 educ6 educ7 educ8 churchatt2 churchatt3 churchatt4 churchatt5 churchatt6 churchatt7 religion2 religion3 religion4 religion5 religion6 religion7 rurub1 rurub2 rurub4 rurub5 rurub6 marital2 marital3 marital4 marital5 marital6 famunemp jobworry,replace force mi impute ologit education income minority age_years female prov1 prov2 prov3 prov4 prov5 prov7 prov8 prov9 prov10 language immigrant unemployed churchatt2 churchatt3 churchatt4 churchatt5 churchatt6 churchatt7 religion2 religion3 religion4 religion5 religion6 religion7 rurub1 rurub2 rurub4 rurub5 rurub6 marital2 marital3 marital4 marital5 marital6 occup1 occup3 occup4 occup5 occup6 occup7 occup8 famunemp jobworry,replace force mi impute ologit rururb educ1 educ2 educ4 educ5 educ6 educ7 educ8 income minority age_years female prov1 prov2 prov3 prov4 prov5 prov7 prov8 prov9 prov10 language immigrant unemployed churchatt2 churchatt3 churchatt4 churchatt5 churchatt6 churchatt7 religion2 religion3 religion4 religion5 religion6 religion7 marital2 marital3 marital4 marital5 marital6 occup1 occup3 occup4 occup5 occup6 occup7 occup8 famunemp jobworry,replace force mi impute ologit churchatt educ1 educ2 educ4 educ5 educ6 educ7 educ8 income minority age_years female prov1 prov2 prov3 prov4 prov5 prov7 prov8 prov9 prov10 language immigrant unemployed religion2 religion3 religion4 religion5 religion6 religion7 rurub1 rurub2 rurub4 rurub5 rurub6 marital2 marital3 marital4 marital5 marital6 occup1 occup3 occup4 occup5 occup6 occup7 occup8 famunemp jobworry,replace force mi impute ologit jobworry churchatt2 churchatt3 churchatt4 churchatt5 churchatt6 churchatt7 educ1 educ2 educ4 educ5 educ6 educ7 educ8 income minority age_years female prov1 prov2 prov3 prov4 prov5 prov7 prov8 prov9 prov10 language immigrant unemployed religion2 religion3 religion4 religion5 religion6 religion7 rurub1 rurub2 rurub4 rurub5 rurub6 marital2 marital3 marital4 marital5 marital6 occup1 occup3 occup4 occup5 occup6 occup7 occup8 famunemp, replace force mi impute ologit famunemp churchatt2 churchatt3 churchatt4 churchatt5 churchatt6 churchatt7 educ1 educ2 educ4 educ5 educ6 educ7 educ8 income minority age_years female prov1 prov2 prov3 prov4 prov5 prov7 prov8 prov9 prov10 language immigrant unemployed religion2 religion3 religion4 religion5 religion6 religion7 rurub1 rurub2 rurub4 rurub5 rurub6 marital2 marital3 marital4 marital5 marital6 occup1 occup3 occup4 occup5 occup6 occup7 occup8 jobworry, replace force scatter seat_market seat_churchatt if province==6, mlabel(seat) msymbol(d) mcolor(black) msize(tiny) mlabsize(tiny) mlabcolor(black) yscale(range(0 .5)) xscale(range(2 3.5)) by(province) scatter seat_econ seat_intervent if urbrur>4 seat~=309 & seat_econ~=. & seat_churchatt~=. , mlabel(seat) msymbol(d) mcolor(black) msize(tiny) mlabsize(tiny) mlabcolor(black) yscale(range(.2 .7)) xscale(range(.2 .7)) by(province) logit q31_r seat1 seat2 seat3 seat4 seat5 seat6 seat7 seat8 seat9 seat10 seat11 seat12 seat13 seat14 seat15 seat16 seat17 seat18 seat19 seat20 seat21 seat22 seat23 seat24 seat25 seat26 seat27 seat28 seat29 seat30 seat31 seat32 seat33 seat34 seat35 seat36 seat37 seat38 seat39 seat40 seat41 seat42 seat43 seat44 seat45 seat46 seat47 seat48 seat49 seat50 seat51 seat52 seat53 seat54 seat55 seat56 seat57 seat58 seat59 seat60 seat61 seat62 seat63 seat64 seat65 seat66 seat67 seat68 seat69 seat70 seat71 seat72 seat73 seat73 seat75 seat76 seat77 seat78 seat79 seat80 seat81 seat82 seat83 seat84 seat85 seat86 seat87 seat88 seat89 seat90 seat91 seat92 seat93 seat95 seat96 seat97 seat98 seat99 seat100 seat101 seat102 seat103 seat104 seat105 seat106 seat107 seat108 seat109 seat110 seat111 seat112 seat113 seat114 seat115 seat116 seat117 seat118 seat119 seat120 seat121 seat122 seat123 seat124 seat125 seat126 seat127 seat128 seat129 seat130 seat131 seat132 seat133 seat134 seat135 seat136 seat137 seat138 seat139 seat140 seat141 seat142 seat143 seat144 seat145 seat146 seat147 seat148 seat149 seat150 seat151 seat152 seat153 seat154 seat155 seat156 seat157 seat158 seat159 seat160 seat161 seat162 seat163 seat164 seat165 seat166 seat167 seat168 seat169 seat170 seat171 seat172 seat173 seat174 seat175 seat176 seat177 seat178 seat179 seat180 seat181 seat182 seat183 seat184 seat185 seat186 seat187 seat188 seat189 seat190 seat191 seat192 seat193 seat194 seat195 seat196 seat197 seat198 seat199 seat200 seat201 seat202 seat203 seat204 seat205 seat206 seat207 seat208 seat209 seat210 seat211 seat212 seat213 seat214 seat215 seat216 seat217 seat218 seat219 seat220 seat221 seat222 seat223 seat224 seat225 seat226 seat227 seat228 seat229 seat230 seat231 seat232 seat233 seat234 seat235 seat236 seat237 seat238 seat239 seat240 seat241 seat242 seat243 seat244 seat245 seat246 seat247 seat248 seat249 seat250 seat251 seat252 seat253 seat254 seat255 seat256 seat257 seat258 seat259 seat260 seat261 seat262 seat263 seat264 seat265 seat266 seat267 seat268 seat269 seat270 seat271 seat272 seat273 seat274 seat275 seat276 seat277 seat278 seat279 seat280 seat281 seat282 seat283 seat284 seat285 seat286 seat287 seat288 seat289 seat290 seat291 seat292 seat293 seat294 seat295 seat296 seat297 seat298 seat299 seat300 seat301 seat303 seat304 seat306 seat307 seat308