墨西哥2023世行企業(yè)調(diào)查實(shí)施報(bào)告（英文）

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TheMexico2023WorldBankEnterpriseSurveyImplementationReport

I.Introduction

ThisdocumentprovidesinformationontheWorldBankEnterpriseSurveys(WBES)implementedinMexicobetweenMarch2023andOctober2023.TheWBEScollectbothobjectivedatabasedonfirms’day-to-dayexperiences,andperceptionsofenterprisesregardingthebusinessenvironmentinwhichtheyoperate.TheWBEScurrentlycoverover195,000firmsin155countrieswithatotalofmorethan300surveyssince2006.TheWBESarealsousedtobuildapanelofenterprisedatathatwillmakeitpossibletotrackchangesinthebusinessenvironmentovertime.1

Thisreportdescribesthesamplingdesignofthesurvey,thedatasetstructureaswellasadditionalinformationthatmaybeusefulwhenusingthedata,suchasinformationonsurveynon-responseandtheappropriateuseofthesamplingweights.

II.SamplingStructure

TheWBESusestratifiedrandomsampling,wherethepopulationofestablishmentsisfirstseparatedintonon-overlappinggroups,calledstrata,andthenrespondentsareselectedthroughsimplerandomsamplingfromeachstratum.ThedetailedmethodologyisprovidedintheSamplingNote.2Stratifiedrandomsamplinghasseveraladvantagesoversimplerandomsampling.Inparticular,it:

?producesunbiasedestimatesofthewholepopulationoruniverseofinference,aswellasatthelevelsofstratification

?ensuresrepresentativenessbyincludingobservationsinallofthosecategories

?producesmorepreciseestimatesforagivensamplesizeorbudgetallocation,and

?mayreduceimplementationcostsbysplittingthepopulationintoconvenientsubdivisions.

TheWBEStypicallyusethreelevelsofstratification:industryclassification,establishmentsize,andsubnationalregion(usedincombination).Startingin2022,theWBESbasestheindustryclassificationonISICRev.4(withearliersurveysusingISICRev.3.1).3Forregionalcoveragewithinacountry,theWBEShasnationalcoverage.

1A“panelinterview”referstoaninterviewwithabusinessthatwasalsointerviewedinthepreviousWBES.

2TheSamplingNoteisavailableat:

/content/dam/enterprisesurveys/documents/methodology/Sampling_Note-

Consolidated-2-16-22.pdf.

Forfurthermethodologicalbackgroundsee,RichardL.Scheaffer;Mendenhall,W.;

Lyman,R.,“ElementarySurveySampling”,FifthEdition,1996.

3TheWBESuniverseincludes:allmanufacturing(ISIC4.0codes10-33),services(ISIC4.0codes41-43,45-47,49-53,55,56,58,61,62,69-75,79,95).DetailsonsectoralcoverageandtheWBESuniverseofinferencecanbefoundintheEnterpriseSurveysManualandGuide(p.4).

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II.1StratificationCategories

TheMexico2023WBESusesthefollowingstratificationcategories:

?Industry,8categories:

?Withinmanufacturing:Food,Textiles,Garments,Othermanufacturing

?Withinservices:Construction,Retail,Hotels,andOtherServices

?Size,4categories:Small(5to19employees),Medium(20to99employees),Large(100to250employees),ExtraLarge(251ormoreemployees)

?Region,5categories:North,CentralNorth,Central,MexicoCity,andSouth.

IndustrystrataforthemanufacturingsectorwereselectedbytheircontributiontothetotalnumberofestablishmentsusingINEGIDENUEdataavailableasofFebruary2023.ConsideringtheESuniverseonly,themanufacturingsectorrepresents18%ofthetotalnumberofestablishments.Withinmanufacturing,food,textiles,garments,andothermanufacturingrepresentsapproximately5%,1%,1%,and11%respectivelyoftheESuniverse.

ThestratafortheservicessectorwereselectedbytheircontributiontothetotalnumberofestablishmentsusingINEGIDENUEdataavailableasofFebruary2023.ConsideringtheESuniverseonly,theservicessectorrepresents82%ofthetotalnumberofestablishments.Withintheservicessector,construction,retail,hotels,andotherservicesrepresentsapproximately3%,33%,2%,and44%respectivelyoftheESuniverse.

RegionstrataoftheMexico2023WBESwereselectedbasedonadministrativedivisions,withsometerritoriesthataregroupedtogethertoachieveminimumrequiredprecisionofestimatesatthelevelofeachstratificationregion.

II.2Universe

Theuniverseofinferenceincludesallformal(i.e.,registered)privatesectorbusinesses(withatleast1%privateownership)andwithatleastfiveemployees.Intermsofsectoralcriteria,allmanufacturingbusinesses(ISICRev4.codes10-33)areeligible;forservicesbusinesses,thosecorrespondingtotheISICRev4codes41-43,45-47,49-53,55-56,58,61-62,69-75,79,and95areincludedintheEnterpriseSurveys.CooperativesandcollectivesareexcludedfromtheEnterpriseSurveys.Alleligibleestablishmentsmustberegisteredwiththeregistrationagency.InthecaseofMexico,therelevantagencyhasbeenidentifiedinSecretaríadeHaciendayCréditoPúblicohasbeenconsideredasformal.Theuniversetableisthetotalnumberofeligibleestablishments,andthetableispartitionedbythestratificationgroups(industryclassification,establishmentsize,andsubnationalregion)inacountry.

FortheMexico2023WBES,theuniversetable,showninTable1below,wasobtainedfromtheMexicanStatisticalOffice(INEGI),DirectorioEstadísticoNacionaldeUnidadesEconómicas2020(DENUE2020).TheDENUEisthecompletecountofallestablishmentslocatedwithinthegeographicalboundariesofthecountry.Thesub-setcorrespondingtothestandardESuniversewasused.

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II.3SamplingFrame

TheWBESrequiresthemostcompleteandup-to-dateSamplingFrame,thelistofeligibleestablishmentswithinformationonindustryclassification,size,addressandothercontactinformationthatwillbeusedtorandomlyselectthesample.IncountrieswhereapreviousroundoftheWBESexists,theSamplingFramealsoincludesthePanelSamplingFrame,whichprovidesinformationaboutalltheestablishmentsthatparticipatedinthepreviousroundoftheWBESinthecountry.

TheSamplingFramefortheMexico2023WBESwasconstructedfromthefollowingsources(seecountsofestablishmentsintheframeinTable2).ThePanelSamplingFramewasconstructedusinginformationonalltheestablishmentsthatparticipatedintheMexico2010WBES.TheFreshSamplingFrame,i.e.,listofestablishmentsthatareintheWBESuniverseandthathavenotparticipatedintheMexico2010WBES,wasconstructedfromDENUE.

ForeveryWBES,necessarymeasuresaretakentoensurethequalityoftheframe;however,thesampleframesarenotimmunetothetypicalproblemsfoundinestablishmentsurveys:positiveratesofnon-eligibility,repetition,non-existentunits,etc.Giventheimpactthatnon-eligibleunitsincludedinthesampleuniversemayhaveontheresults,eligibilityadjustmentsmaybeneededwhencomputingtheappropriatesamplingweightsforindividualobservations(ifandonlyiftheweightsarecomputedthesamplingframethatisalsotheuniverse).Table4reportsresponseoutcomes.

II.4SampleDesign

TheWBESsampledesign,i.e.,targetnumberofinterviewsineachcombinationofstratificationcategories(cells),isgeneratedusingthetwoprimarycriteria:1)minimizethedifferencefromthepurelyproportionalsamplewithineachcell;and2)achieveasufficientsamplesizebystratificationcategorytoallowforestimatesofagivenlevelofprecision.4AdditionalinformationonthecriteriafordeterminingthesamplesizebystratificationcategoryisgivenintheSamplingNote,andadditionalinformationonthesampledesignisgivenintheEnterpriseSurveysManualandGuide.5TheoriginalsurveydesignfortheMexico2023WBESisgiveninTable3.

III.DataCollection

ThedetailedinformationontheWBESmethodologyanddatacollectionisprovidedintheEnterpriseSurveysManualandGuide.TheinterviewsfortheMexico2023WBESwereconductedbetweenMarch2023andOctober2023.TheinterviewswereconductedinSpanish.Formonetaryvariables,thecurrencywasMexicanpesos.

4Additionalconstraintsarealsoconsideredinthedesignstage.Thesearegenerallypracticalandinclude,forexample,havingasufficientnumberofavailablecontactsinthesample.

5TheEnterpriseSurveysManualandGuideisavailableat:

/content/dam/enterprisesurveys/documents/methodology/Enterprise-Surveys-

Manual-and-Guide.pdf

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III.1Questionnaire

ThestandardWBESquestionnairecoversseveraltopicsregardingthebusinessenvironmentandbusinessperformance.Thesetopicsincludegeneralfirmcharacteristics,infrastructure,salesandsupplies,managementpractices,competition,innovation,capacity,landandpermits,finance,business-governmentrelations,exposuretobribery,labor,andperformance.InformationaboutthegeneralstructureofthequestionnaireisavailableintheEnterpriseSurveysManualandGuide.

ThequestionnaireimplementedintheMexico2023WBESincludedquestionstailoredfortheBusinessReadyReportcoveringinfrastructure,trade,governmentregulations,finance,labor,andothertopics.

III.2Contractor

ThefieldworkfortheMexico2023WBESwasimplementedbyA2FandthelocalcontractorwasProfiles.TheselectionfortheimplementingagencyfollowedthestandardWorldBankprocurementpracticesthataredescribedinmoredetailintheEnterpriseSurveysManualandGuide.

III.3Samplingandscreening

SamplesaredrawnbytheEnterpriseSurveysteaminbatches,followingthestratificationandsampledesign.ThecontractorconductedathoroughscreeningprocessbeforeschedulingtheESinterviews.ResultsofthescreeningareprovidedusingtheeligibilityandstatuscodesaslistedinTable4.Incasesofunitnon-response(eitherarefusaloraninabilitytoobtainaninterviewafterexhaustiveattempts),thecontractorproceededwiththecontactthatappearednextinthelistdrawnintherespectivecell.Theprocessofsamplingandscreeningisdescribedinmoredetailinthe

EnterpriseSurveysManualandGuide.

III.4Surveyresponse

Inallsurveys,includingtheWBES,somerespondentschoosenottoparticipate.TheEnterpriseAnalysisteamandthecontractortakeallnecessarymeasurestoboostparticipation,throughvariousmethodsofrecruitment.Thepropermanagementofthescreeningprocessandsamplereplacementensuresthattheresultingsampleremainsrandom.

Themainmeasureofsurveyparticipationistheyield,whichistheratioofthetotalnumberofachievedinterviewstothetotalnumberofcontactedestablishments.Therearetwomainelementsthatboostyields.Firstisthesurveyparticipationrate,measuredastheshareofestablishmentsthatparticipatedamongthosethatcanbeassumedtohavebeeneligible.Thesecondelementisthequalityofframe.Ifonlyasmallfractionofthecontactedestablishmentsisactuallyeligibletoparticipateinthesurvey,thenthesamplingframeisfarfromideal.ThisqualityismeasuredbytheratioofthetotalnumberofestablishmentsthatcanbeassumedtobeeligiblefortheWBESwiththetotalnumberofcontactedestablishmentsintheframe.Inotherwords:

yield=surveyresponserate*Rateofqualityoftheframe

whichcanrewrittenasfollows:

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Table5providesthesemeasuresfortheMexico2023WBESandacrossitsstratificationlevels.

III.5AchievedSample

Tables6and7providecountoftheWBESinterviewscollectedforeachstratificationcell,i.e.,brokendownbyindustry,establishmentsize,andregion.Table6reportsfullsample,whileTable7showscountsofonlypanelinterviews.

III.6SamplingWeights

SincetheWBESusesstratifiedrandomsampling,individualobservationsshouldbeproperlyweightedwhenmakinginferencesaboutthepopulation,sinceunweightedestimatesarebiasedunlesssamplesizesareproportionaltothesizeofeachstratum.ForeachWBES,specialcareisgiventocorrectlycomputesamplingweights.WhenevertheUniverseisusedtodrawthesample(i.e.,SamplingFrameisthesameastheUniverse)itisimperativetoaccuratelyadjusttheuniversewithineachstratumtoaccountforthepresenceofineligibleestablishments(e.g.,thefirmdiscontinuedbusinesses,orisdeemedineligibleduetoitsbusinessactivityorhavingfewerthanfiveemployees).Propertreatmentofpanelestablishmentsisalsocrucial.DetailsabouthowtheWBESsamplingweightsarecalculatedaregivenintheSamplingNote.

Threeversionsofsamplingweightsarecalculated,dependingontheassumptionsthatdetermineeligibilityofestablishmentstobecountedtowardstheWBESuniverse.Theseassumptionsarecalledweak,medium,andstrong;andaredefinedasgiveninthetablebelow.PrevalenceofeachoftheseoutcomesfortheMexico2023WBESisgiveninTable4.AllindicatorsandanalysisconductedbytheEnterpriseSurveysteamusethesamplingweightsbasedonthemedianassumption.Tables8-10reportestimateduniversebasedontherespectiveassumption.

Assumption

EligibilitycodesforinclusionintheWBESuniverse

Strict

1,2,3,4,16

Median

1,2,3,4,16,10,11,13

Weak

1,2,3,4,16,10,11,13,91,92,93,94,12

Fordescriptionsofeacheligibilitycode,seeTable4.

III.7Itemresponserates

Itemresponseratemustbedifferentiatedfromsurveyresponserates.Thelatterreferstoparticipationinthesurveyitself(seeSectionIII.4)whereastheformerreferstotheabsenceofresponsestospecificsurveyquestions.6TheWBES,asanysurvey,sufferfromitemnon-response;anddifferentstrategiesareusedbythedatacollectionteamtoaddressthis.Inparticular:

6TheWBESquestionnaireisorganizedsothatthereisalwayssomeentryinthedatabasewhenthequestionwas

posed.Anemptyentrymeansthatthequestionwasnotaskedtothecorrespondingrespondent,typically,duetoskippatterns,orlackofapplicabilityofthatquestioningeneral.

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?Forsensitivequestions,suchasoncorruptionortaxevasion,enumeratorswereinstructedtocollecttherefusaltorespond(-8)asaseparateresponsecategoryfromdon’tknow(-9).

?Establishmentswithincompleteinformationwerere-contactedtofillgaps.

Table11providesitemresponseratesforseveralkeyvariables,brokendownacrossthestratificationlevels.

III.8DatabaseStructure

TheWBESdatafilesareorganizedinwaysthatreflectthecorrespondingquestionnaire.Thevariablesthatarestandardacrosscountrieshavethefirstletterintheirnamecorrespondtothequestionnairesectionwherethevariablebelongsinthequestionnaire,i.e.,a1denotessectionA.Allvariablesarenumericwiththeexceptionofthosevariableswithan“x”attheendoftheirnames.Thesuffix“x”denotesthatthevariableisalpha-numeric.

TheWBESdatafilescontaintwoestablishmentidentifiers,idstdandid.Theformerisaglobaluniqueidentifierofeachestablishment,whilethelatterisuniqueidentifierwithineachsurvey.ThevariableidstdcanbeusedtomatchtheWBESestablishmentone-to-oneacrossdatabases.Thevariableswweak,wmedian,andwstrongcorrespondingtosamplingweightsbasedon,respectively,weak,median,andstrongassumptionsabouteligibility(seeSectionIII.6).Thevariablestratacorrespondstothestratumofeachobservation.7

Additionally,theWBESdatafilescontainmanystandardvariables.Thevariabled1a2_v4denotesthemainactivityoftheestablishment,asobtainedduringtheWBESinterview,codedinthefour-digitISICRev.4.UsersshouldnotethatthisactivitymaydifferfromtheindustryclassificationgivenintheSamplingFrame,a4a.Usersaregenerallyadvisedtouseindustrycategoriesbasedontherealizedinformationind1a2_v4.Additionalsamplinginformationiscontainedinvariablesa2(region)anda6a(size).Thevariablepanelidentifiespanelestablishments,i.e.,thosethatparticipatedintheMexico2010WBES.Thecombinationofa4a,a2,a6a,andpanelformsstratumofeachestablishment,whichiscontainedinvariablestrata.

Thelastcompletefiscalyearforeachestablishmentiscontainedinvariablesa20m(lastmonthoflastcompletefiscalyear)anda20y(lastcompletefiscalyear).

NotethatwhenanentryintheWBESdatabaseisempty,thismeansthatthequestionwasnotaskedtothecorrespondingrespondent.Thishappenswhenthequestionisdeemedinapplicable,duetoskippatternsorotherreasons.Incaseswhenthequestionwasposed,someentryisprovided,includingdon'tknow,whichisanexampleofitemnon-response.

7Notethatthesamplingweightsmayvarywithinstrataforpanelestablishmentsduetotheprocedureusedforprojectingtheuniversefromthepreviousroundofthesurvey.

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IV.UsefulLinks

TheusersoftheWBESdatamayfindthefollowinglinksuseful:

?SamplingNoteisavailableat:

/content/dam/enterprisesurveys/documents/methodolog

y/Sampling_Note-Consolidated-2-16-22.pdf

?TheEnterpriseSurveysManualandGuideisavailableat:

/content/dam/enterprisesurveys/documents/methodolog

y/Enterprise-Surveys-Manual-and-Guide.pdf

?TheWBESglobalquestionnairesareavailableat:

/en/methodology

?TheprojectsthatarecurrentlybeingimplementedbytheEnterpriseSurveysteamareavailableat:

/en/methodology/current-projects

?ThelistofallWBESdatabasesanddetailedinformationabouteachisavailablehere:

/content/dam/enterprisesurveys/documents/methodolog

y/DataDetails.xls

?ThedescriptionoftheWBESindicatorsisavailableat:

/content/dam/enterprisesurveys/documents/Indicator-

Description.pdf

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FactSheet

SourceofUniverseTable

DirectorioEstadísticoNacionaldeUnidadesEconómicas(DENUE)2022,INEGI

SourceofSamplingFrame

DirectorioEstadísticoNacionaldeUnidadesEconómicas(DENUE)2022,INEGI

Stratificationsectors

Manufacturingof:Food,Textiles,Garments,andOtherManufacturing;Construction,Retail,Hotels,andOtherServices

Stratificationsizes

Small(5to19employees),Medium(20to99

employees),Large(100-250),andVeryLarge(251ormoreemployees)

Stratificationregions

North,CentralNorth,Central,MexicoCity,andSouth

Contractor

A2FwithProfiles

Fieldworkdates

March2023-October2023

Interviewlanguages

Spanish

Surveysoftware

SurveySolutions

Currencyfornominalvariables

MexicanPesos

Referencefiscalyear

2022and2023

SampleSize

Total:1,320Fresh:886Panel:434

Surveyresponserates

Yield:29%Responserate:33.6%Framequality:86.3%

Itemresponserates

d2:100%n2a:99.9%l1:99.2%allTFPvars.:93.2%

Additionaltopicscoveredinthe

questionnaire

NA

Additionalsurveysavailable(ifany)

NA

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Tables

Table1:Mexico2023WBESUniverse

Food

Textiles

Garments

OtherManufacturing

Construction

Retail

Hotels

OtherServices

GrandTotal

North

Small(5-19)

5182

190

454

9112

3530

44757

1948

54186

152,325

North

Medium(20-99)

686

60

241

3481

2126

6015

747

11947

North

Large(100-250)

266

23

64

2154

374

1213

107

1451

North

ExtraLarge(251+)

53

11

41

1025

131

127

75

548

CentralNorth

Small(5-19)

7411

520

1405

15205

2802

40808

2499

54783

152,434

CentralNorth

Medium(20-99)

754

117

319

4174

1696

4738

667

8964

CentralNorth

Large(100-250)

303

53

41

1648

323

687

114

1106

CentralNorth

ExtraLarge(251+)

137

15

18

459

111

97

62

398

Central

Small(5-19)

4604

529

2852

7779

1237

26119

1582

31293

93,420

Central

Medium(20-99)

443

211

789

2058

701

3246

297

5672

Central

Large(100-250)

181

166

149

1249

125

737

41

770

Central

ExtraLarge(251+)

17

11

15

80

38

100

6

323

MexicoCity

Small(5-19)

1441

143

372

3654

658

15032

482

23822

61,032

MexicoCity

Medium(20-99)

325

56

167

1288

559

2216

278

7027

MexicoCity

Large(100-250)

58

20

30

335

146

518

45

1180

MexicoCity

ExtraLarge(251+)

34

6

20

215

93

122

32

658

South

Small(5-19)

4601

791

741

4946

2397

31003

3470

37106

99,952

South

Medium(20-99)

285

41

123

562

1251

3843

615

5766

South

Large(100-250)

128

10

36

223

146

577

155

609

South

ExtraLarge(251+)

10

0

8

13

55

78

182

181

26,919

2,973

7,885

59,660

18,499

182,033

13,404

247,790

559,163

Source:DirectorioEstadísticoNacionaldeUnidadesEconómicas(DENUE)2022,INEGI

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Table2:Mexico2023WBESSampleFrame(FreshandPanelCombined)

Food

Textiles

Garments

OtherManufacturing

Construction

Retail

Hotels

OtherServices

GrandTotal

North

Small(5-19)

5182

190

454

9112

3530

44757

1948

54186

152,325

North

Medium(20-99)

686

60

241

3481

2126

6015

747

11947

North

Large(100-250)

266

23

64

2154

374

1213

107

1451

North

ExtraLarge(251+)

53

11

41

1025

131

127

75

548

CentralNorth

Small(5-19)

7411

520

1405

15205

2802

40808

2499

54783

152,434

CentralNorth

Medium(20-99)

754

117

319

4174

1696

4738

667

8964

CentralNorth

Large(100-250)

303

53

41

1648

323

687

114

1106

CentralNorth

ExtraLarge(251+)

137

15

18

459

111

97

62

398

Central

Small(5-19)

4604

529

2852

7779

1237

26119

1582

31293

93,420

Central

Medium(20-99)

443

211

789

2058

701

3246

297

5672

Central

Large(100-250)

181

166

149

1249

125

737

41

770

Central

ExtraLarge(251+)

17

11

15

80

38

100

6

323

MexicoCity

Small(5-19)

1441

143

372

3654

658

15032

482

23822

61,032

MexicoCity

Medium(20-99)

325

56

167

1288

559

2216

278

7027

MexicoCity

Large(100-250)

58

20

30

335

146

518

45

1180

MexicoCity

ExtraLarge(251+)

34

6

20

215

93

122

32

658

South

Small(5-19)

4601

791

741

4946

2397

31003

3470

37106

99,952

South

Medium(20-99)

285

41

123

562

1251

3843

615

5766

South

Large(100-250)

128

10

36

223

146

577

155

609

South

ExtraLarge(251+)

10

0

8

13

55

78

182

181

26,919

2,973

7,885

59,660

18,499

182,033

13,404

247,790

559,163

Source:DirectorioEstadísticoNacionaldeUnidadesEconómicas(DENUE)2022,INEGI

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Table3:OriginalSurveyDesign(FreshandPanelCombined)

Food

Textiles

Garments

Construction

Retail

Hotels

OtherServices

GrandTotal

OtherManufacturing

North

Small(5-19)

22

7

8

24

16

34

26

30

338

North

Medium(20-99)

8

6

7

20

10

7

3

16

North

Large(100-250)

6

6

5

15

4

9

3

6

North

ExtraLarge(250+)

5

4

4

10

3

6

3

5

CentralNorth

Small(5-19)

11

9

12

27

13

25

3

34

308

CentralNorth

Medium(20-99)

8

7

7

23

8

9

3

12

CentralNorth

Large(100-250)

6

6

4

12

7

5

4

9

CentralNorth

ExtraLarge(250+)

6

6

3

7

5

5

3

9

Central

Small(5-19)

11

9

6

24

6

15

3

24

254

Central

Medium(20-99)

7

7

10

14

4

4

3

14

Central

Large(100-250)

6

7

7

10

5

8

3

12

Central

ExtraLarge(250+)

5

5

5

5

3

5

2

5

MexicoCity

Small(5-19)

11

7

8

21

3

11

3

14

213

MexicoCity

Medium(20-99)

6

6

7

10

4

6

3

10

MexicoCity

Large(100-250)

5

6

6

6

3

6

3

6

MexicoCity

ExtraLarge(250+)

5

2

6

6

3

6

3

11

South

Small(5-19)

7

10

5

7

11

15

40

17

207

South

Medium(20-99)

5

6

4

4

6

4

3

6

South

Large(100-250)

4

4

3

4

3

7

3

6

South

ExtraLarge(250+)

3

0

3

3

3

4

3

4

147

120

120

252

120

191

120

250

1,320

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Table4:ResponseOutcomes

Totals

Ratesrelativetototalcontacted

Overall

Contactsavailableinframe

559,163

Issued

4,561

Contacted

4,560

Screeningphase

Eligibles

2,182

47.9%

Screenerrefusals

1,753

38.4%

Assumedeligibles

3,935

86.3%

Ineligible+outoftarget

296

6.5%

Unobtainables

329

7.2%

Interviewphase

Interviewrefusals

437

9.6%

(onlyifeligible)

Completeinterviews

1,322

29.0%

Table5:SurveyYieldRates

Stratification

Yield

Surveyresponserate

Framequality

Panel

Fresh

28.1%

32.0%

87.7%

Panel

31.1%

37.4%

83.2%

Size

Small(5-19)

31.8%

37.9%

83.9%

Medium(20-99)

29.4%

33.9%

86.6%

Large(100-250)

27.7%

31.0%

89.4%

Extralarge(251+)

22.4%

25.2%

88.8%

Region

North

27.6%

31.7%

86.8%

CentralNorth

28.1%

31.6%

88.8%

Central

33.6%

39.7%

84.5%

MexicoCity

28.3%

33.6%

84.1%

South

28.7%

33.4%

85.8%

Sector

Food

34.1%

39.9%

85.6%

Textiles

34.1%

41.4%

82.3%

Garments

32.6%

40.3%

81.1%

OtherManufacturing

24.9%

28.5%

87.2%

Construction

32.2%

37.9%

84.8%

Retail

25.8%

29.3%

87.8%

Hotels

26.4%

28.3%

93.3%

OtherServices

29.6%

34.7%

85.2%

Mexico2023

29.0%

33.6%

86.3%

Notes:theratesarecalculatedasdefinedinSectionIII.4.

13

Table6:AchievedTotalSample(FreshandPanelCombined)

Food

Textiles

Garments

OtherManufacturing

Construction

Retail

Hotels

OtherServices

GrandTotal

North

Small(5-19)

12

14

8

32

34

38

23

32

331

North

Medium(20-99)

7

8

7

20

12

4

4

12

North

Large(100-250)

5

7

4

6

4

2

4

4

North

ExtraLarge(251+)

1

3

5

6

3

2

2

6

CentralNorth

Small(5-19)

11

9

8

28

21

22

0

26

305

CentralNorth

Medium(20-99)

7

11

7

29

15

6

3

7

CentralNorth

Large(100-250)

9

13

5

12

8

0

3

6

CentralNorth

ExtraLarge(251+)

5

7

4

7

8

4

2

2

Central

Small(5-19)

9

9

6

25

7

11

7

25

258

Central

Medium(20-99)

11

13

10

14

5

1

7

6

Central

Large(100-250)

6

9

12

12

4

6

5

8

Central

ExtraLarge(251+)

5

7

4

5

3

4

0

2

MexicoCity

Small(5-19)

13

9

6

24

3

17

2

12

208

MexicoCity

Medium(20-99)

7

2

8

12

2

4

2

5

MexicoCity

Large(100-250)

8

4

7

7

2

6

1

9

MexicoCity

ExtraLarge(251+)

4

3

7

3

0

6

0

13

South

Small(5-19)

9

5

5

4

11

17

50

20

220

South

Medium(20-99)

7

5

3

6

4

3

5

4

South

Large(100-250)

2

4

5

3

4

1

6

6

South

ExtraLarge(251+)

4

0

3

4

4

5

8

3

142

142

124

259

154

159

134

208

1,322

14

Table7:AchievedPanelSample

Food

Textiles

Garments

Other

Manufacturing

Construction

Retail

Hotels

OtherServices

GrandTotal

North

Small(5-19)

9

1

4

26

2

5

0

5

108

North

Medium(20-99)

4

0

3

19

1

2

0

6

North

Large(100-

250)

2

1

2

3

1

1

0

1

North

ExtraLarge

(251+)

1

0

1

6

0

0

0

2

CentralNorth

Small(5-19)

6

0

6

23

0

5

0

3

120

CentralNorth

Medium(20-99)

5

0

5

29

1

2

0

5

CentralNorth

Large(100-

250)

5

0

0

11

0

0

1

4

CentralNorth

ExtraLarge

(251+)

1

0

0

4

1

1

0

2

Central

Small(5-19)

6

1

4

23

1

2

0

3

102

Central

Medium(20-99)

6

2

6

8

1

0

0

4

Central

Large(100-

250)

2

3

6

7

0

5

0

5

Central

ExtraLarge

(251+)

3

0

1

2

0

0

0

1

MexicoCity

Small(5-19)

8

0

4

21

0

4

0

2

89

MexicoCity

Medium(20-99)

4

0

4

9

0

1

0

1

MexicoCity

Large(100-

250)

3

0

3

4

0

3

0

2

MexicoCity

ExtraLarge

(251+)

3

0

2

1

0

3

0

7

South

Small(5-19)

3

0

0

0

0

1

0

2

15

South

Medium(20-99)

2

0

1

0

0

0

0

1

South

Large(100-

250)

1

0

0

0

0

1

0

1

South

ExtraLarge

(251+)

0

0

0

0

0

1

0

1

74

8

52

196

8

37

1

58

434

15

Table8:WeakUniverseEstimates

Food

Textiles

Garments

OtherManufacturing

Construction

Retail

Hotels

OtherServices

GrandTotal

North

Small(5-19)

4,780

175

394

8,483

3,215

40,838

1,808

48,220

139,293

North

Medium(20-99)

662

59

214

3