薩爾瓦多2023世行企業(yè)調(diào)查實施報告（英文）

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TheElSalvador2023WorldBankEnterpriseSurveyImplementationReport

I.Introduction

ThisdocumentprovidesinformationontheWorldBankEnterpriseSurveys(WBES)implementedinElSalvadorbetweenJanuary2023andJuly2023.TheWBEScollectbothobjectivedatabasedonfirms’day-to-dayexperiences,andperceptionsofenterprisesregardingthebusinessenvironmentinwhichtheyoperate.TheWBEScurrentlycoverover180,000firmsin154countrieswithatotalof306surveyssince2006.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(ISIC4.0codes10-32),services(ISIC4.0codes33,41-43,45-47,49-56,58,61,62,69-75,79,95).DetailsonsectoralcoverageandtheWBESuniverseofinferencecanbefoundintheEnterpriseSurveysManualandGuide(p.4).

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II.1StratificationCategories

TheElSalvador2023WBESusesthefollowingstratificationcategories:

?Industry:6categories:

?Withinmanufacturing:Food,Textiles&Garments,andOthermanufacturing

?Withinservices:Construction,Retail,andOtherServices

?Size:3categories:Small(5to19employees),Medium(20to99employees),Large(100ormoreemployees)

?Region:4categories:SanSalvador;GreaterSanSalvador;West;andEast

Sectoralandsizestratificationsweredeterminedsuchthatboththemanufacturingandtheservicessectormeettheminimumcriteriaofrepresentativenessatthe7.5%marginoferrorand90%confidenceinterval.

RegionstrataoftheElSalvador2023WBESwereselectedbasedonadministrativedivisions,withsometerritoriesgroupedtogethertoachieveminimumrequiredprecisionofestimatesatthelevelofeachstratificationregion.Inparticular,regionalstratificationwasdoneacrossfourregions:theGreaterSanSalvador(departmentofCaba?as,Chalatenango,Cuscatlan,LaLibertad,LaPaz,SanVicente),SanSalvador(themetropolitanarea),West(Ahuachapan,SantaAna,Sonosonate)andEast(LaUnión,Morazán,SanMiguel,andUsulután).

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.InthecaseofElSalvador,registrationwasfromtheTreasury(MinisteriodeHacienda).Theuniversetableisthetotalnumberofeligibleestablishments,andthetableispartitionedbythestratificationgroups(industryclassification,establishmentsize,andsubnationalregion)inacountry.

FortheElSalvador2023WBES,theuniversetable,showninTable1below,wasobtainedfromtheSolvencyRegistry2021(RegistrodeSolvencia2021).

II.3SamplingFrame

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

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TheSamplingFramefortheElSalvador2023WBESwasconstructedfromthefollowingsources(seecountsofestablishmentsintheframeinTable2).ThePanelSamplingFramewasconstructedusinginformationonalltheestablishmentsthatparticipatedintheElSalvador2016WBES.TheFreshSamplingFrame,i.e.,listofestablishmentsthatareintheWBESuniverseandthathavenotparticipatedintheElSalvador2016WBES,forthemanufacturingsector(ISIC4.0codes10-32),wasobtainedfromtheSolvencyRegistry2021.

TheFreshSamplingFramefortheservicessector(ISIC4.0codes33,41-43,45-47,49-56,58,61,62,69-75,79,95)isfromtheSolvencyRegistry2021.

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.5TheoriginalsurveydesignfortheElSalvador2023WBESisgiveninTable3.

III.DataCollection

ThedetailedinformationontheWBESmethodologyanddatacollectionisprovidedintheEnterpriseSurveysManualandGuide.TheinterviewsfortheElSalvador2023WBESwereconductedbetweenJanuary2023andJuly2023.TheinterviewswereconductedinSpanish.

III.1Questionnaire

ThestandardWBESquestionnairecoversseveraltopicsregardingthebusinessenvironmentandbusinessperformance.Thesetopicsincludegeneralfirmcharacteristics,infrastructure,salesandsupplies,managementpractices,competition,innovation,capacity,land

4Additionalconstraintsarealsoconsideredinthedesignstage.Thesearegenerallypracticalandinclude,forexample,havingasufficientnumberofavailablecontactsinthesample.

5TheEnterpriseSurveysManualandGuideisavailableat:

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

Manual-and-Guide.pdf

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andpermits,finance,business-governmentrelations,exposuretobribery,labor,andperformance.InformationaboutthegeneralstructureofthequestionnaireisavailableintheEnterpriseSurveysManualandGuide.

ThequestionnaireimplementedintheElSalvador2023WBESincludedadditionalquestionstailoredfortheBusinessReadyReportcoveringinfrastructure,trade,governmentregulations,finance,andlabor.Additionalquestionscoveralsobusiness-governmentrelationsasintheElSalvador2016WBESwhichareindicatedwiththeprefixSLVandLACinthedata.

III.2Contractor

ThefieldworkfortheElSalvador2023WBESwasimplementedbyFusades.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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Table5providesthesemeasuresfortheElSalvador2023WBESandacrossitsstratificationlevels.

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.PrevalenceofeachoftheseoutcomesfortheElSalvador2023WBESisgiveninTable4.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:

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

6TheWBESquestionnaireisorganizedsothatthereisalwayssomeentryinthedatabasewhenthequestionwas

posed.Anemptyentrymeansthatthequestionwasnotaskedtothecorrespondingrespondent,typically,duetoskippatterns,orlackofapplicabilityofthatquestioningeneral.

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?Establishmentswithincompleteinformationwerere-contactedtofillgaps.

Table11providesitemresponseratesforseveralkeyvariables,brokendownacrossthestratificationlevels.

III.8DatabaseStructure

TheWBESdatafilesareorganizedinwaysthatreflectthecorrespondingquestionnaire.Thevariablesthatarestandardacrosscountrieshavethefirstletterintheirnamecorrespondtothequestionnairesectionwherethevariablebelongsinthequestionnaire,i.e.,a1denotessectionA.Thevariablesthatarecountryorregionspecificaregenerallynamedusingaprefixincapitalletters.Thesecountry-specificvariablesaregenerallynotavailablebeyondthespecificcountryorregionwheretheywereimplemented.FortheElSalvador2023WBES,thesevariablesuseprefixesSLV,andLACAllvariablesarenumericwiththeexceptionofthosevariableswithan“x”attheendoftheirnames.Thesuffix“x”denotesthatthevariableisalpha-numeric.

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

Additionally,theWBESdatafilescontainmanystandardvariables.Thevariabled1a2_v4denotesthemainactivityoftheestablishment,asobtainedduringtheWBESinterview,codedinthefour-digitISICRev.4.UsersshouldnotethatthisactivitymaydifferfromtheindustryclassificationgivenintheSamplingFrame,a4a.Usersaregenerallyadvisedtouseindustrycategoriesbasedontherealizedinformationind1a2_v4.Additionalsamplinginformationiscontainedinvariablesa2(region)anda6a(size).Thevariablepanelidentifiespanelestablishments,i.e.,thosethatparticipatedintheElSalvador2023WBES.Thecombinationofa4a,a2,a6a,andpanelformsstratumofeachestablishment,whichiscontainedinvariablestrata.

Thelastcompletefiscalyearforeachestablishmentiscontainedinvariablesa20m(lastmonthoflastcompletefiscalyear)anda20y(lastcompletefiscalyear).

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

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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/current-projects

?ThelistofallWBESdatabasesanddetailedinformationabouteachisavailablehere:

/content/dam/enterprisesurveys/documents/methodolog

y/DataDetails.xls

?ThedescriptionoftheWBESindicatorsisavailableat:

/content/dam/enterprisesurveys/documents/methodolog

y/Indicator-Description.pdf

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FactSheet

SourceofUniverseTable

RegistrodeSolvencia2021

SourceofSamplingFrame

RegistrodeSolvencia2021

Stratificationsectors

1.Manufacturingof:Food,Textiles&Garments,Othermanufacturing;

2.Construction,Retail,andOtherServices

Stratificationsizes

1.Small(5to19employees)

2.Medium(20to99employees)

3.Large(100+)

Stratificationregions

1.GreaterSanSalvador(Caba?as,Chalatenango,Cuscatlan,LaLibertad,LaPaz,SanVicente

2.SanSalvador(metropolitanareaofSanSalvador)

3.East(LaUnión,Morazán,SanMiguel,andUsulután)

4.West(Ahuachapan,SantaAna,Sonosonate)

Contractor

Fusades

Fieldworkdates

January2023-July2023

Interviewlanguages

Spanish

Surveysoftware

SurveySolutions

Currencyfornominalvariables

USD

Referencefiscalyear

2020(1)2021(39obs.)and2022(689obs.)

SampleSize

Total:729Fresh:456Panel:273

Surveyresponserates

Yield:32.3%Responserate:52.7%Framequality:61.2%

Itemresponserates

d2:77.5%n2a:73.3%l1:99.9%allTFPvars.:39.6%

Additionaltopicscoveredinthe

questionnaire

QuestionsrelatingtotheBusinessReadyReportandBusinessGovernmentrelations

Additionalsurveysavailable(ifany)

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Tables

Table1:ElSalvador2023WBESUniverse

Food

TextilesandGarments

OtherManufacturing

Construction

Retail

OtherServices

GrandTotal

SanSalvador

Small(5-19)

61

35

241

268

629

2532

5,832

SanSalvador

Medium(20-99)

49

37

181

158

241

951

SanSalvador

Large(100ormore)

41

36

77

50

70

175

GreaterSanSalvador

Small(5-19)

21

8

29

30

161

262

864

GreaterSanSalvador

Medium(20-99)

14

6

40

11

45

133

GreaterSanSalvador

Large(100ormore)

10

24

28

7

7

28

West

Small(5-19)

24

10

27

33

170

261

744

West

Medium(20-99)

7

5

19

23

44

82

West

Large(100ormore)

6

5

5

5

2

16

East

Small(5-19)

18

3

34

104

258

273

851

East

Medium(20-99)

6

2

3

21

45

55

East

Large(100ormore)

2

0

0

4

11

12

259

171

684

714

1,683

4,780

8,291

Source:RegistrodeSolvencia2021.

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Table2:ElSalvador2023WBESSampleFrame(FreshandPanelCombined)

Retail

Textiles andGarments

OtherManufacturing

Construction

OtherServices

GrandTotal

Food

SanSalvador

Small(5-19)

61

35

241

268

629

2532

5832

SanSalvador

Medium(20-99)

49

37

181

158

241

951

SanSalvador

Large(100ormore)

41

36

77

50

70

175

GreaterSanSalvador

Small(5-19)

21

8

29

30

161

262

864

GreaterSanSalvador

Medium(20-99)

14

6

40

11

45

133

GreaterSanSalvador

Large(100ormore)

10

24

28

7

7

28

West

Small(5-19)

24

10

27

33

170

261

744

West

Medium(20-99)

7

5

19

23

44

82

West

Large(100ormore)

6

5

5

5

2

16

East

Small(5-19)

18

3

34

104

258

273

851

East

Medium(20-99)

6

2

3

21

45

55

East

Large(100ormore)

2

0

0

4

11

12

259

171

684

714

1,683

4,780

8,291

Source:RegistrodeSolvencia2021.

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Table3:OriginalSurveyDesign(FreshandPanelCombined)

TextilesandGarments

OtherManufacturing

Construction

Retail

OtherServices

GrandTotal

Food

GreatSanSalvador

Small(5-19)

8

14

20

25

35

35

339

GreatSanSalvador

Medium(20-99)

11

19

19

21

17

35

GreatSanSalvador

Large(100ormore)

15

18

17

14

9

7

NearSanSalvador

Small(5-19)

13

11

9

4

9

7

141

NearSanSalvador

Medium(20-99)

9

8

7

7

5

4

NearSanSalvador

Large(100ormore)

10

20

9

4

2

3

West

Small(5-19)

15

11

10

4

9

7

120

West

Medium(20-99)

8

7

7

9

5

3

West

Large(100ormore)

7

6

5

3

1

3

East

Small(5-19)

15

4

13

13

18

11

120

East

Medium(20-99)

6

2

4

12

7

3

East

Large(100ormore)

3

0

0

4

3

2

120

120

120

120

120

120

720

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Table4:ResponseOutcomes

Totals

Ratesrelativetototalcontacted

Overall

Contactsavailableinframe

8,947

Issued

2,325

Contacted

2,259

Screeningphase

Eligibles

741

32.8%

Screenerrefusals

642

28.4%

Assumedeligibles

1,383

61.2%

Ineligible+outoftarget

215

9.5%

Unobtainables

661

29.3%

Interviewphase

Interviewrefusals

7

0.3%

(onlyifeligible)

Completeinterviews

729

32.3%

Table5:SurveyYieldRates

Stratification

Yield

Surveyresponserate

Framequality

Panel

Fresh

28.9%

51.1%

56.7%

Panel

40.0%

55.7%

71.7%

Size

Small(5-19)

32.3%

53.4%

60.5%

Medium(20-99)

32.8%

57.2%

57.4%

Region

Large(100ormore)

31.2%

45.2%

69.0%

SanSalvador

30.0%

63.3%

47.5%

GreaterSanSalvador

27.5%

40.9%

67.2%

West

38.7%

48.7%

79.5%

East

39.1%

47.5%

82.2%

Sector

Food

41.0%

55.1%

74.5%

Textiles&Garments

32.1%

46.7%

68.7%

OtherManufacturing

34.3%

56.8%

60.5%

Construction

27.2%

46.4%

58.6%

Retail

35.4%

57.7%

61.3%

OtherServices

28.2%

53.4%

52.7%

Overall

ElSalvador2023

32.3%

52.7%

61.2%

Notes:theratesarecalculatedasdefinedinSectionIII.4.

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Table6:AchievedTotalSample(FreshandPanelCombined)

TextilesandGarments

OtherManufacturing

Construction

Retail

OtherServices

GrandTotal

Food

SanSalvador

Small(5-19)

12

12

26

29

36

29

348

SanSalvador

Medium(20-99)

19

19

22

26

16

24

SanSalvador

Large(100ormore)

14

17

16

17

7

7

GreaterSanSalvador

Small(5-19)

12

8

7

3

11

13

113

GreaterSanSalvador

Medium(20-99)

6

2

8

3

7

6

GreaterSanSalvador

Large(100ormore)

6

5

8

0

3

5

West

Small(5-19)

18

11

8

5

12

13

136

West

Medium(20-99)

6

5

8

4

11

13

West

Large(100ormore)

4

4

4

2

2

6

East

Small(5-19)

12

2

15

23

21

12

132

East

Medium(20-99)

5

1

4

9

8

7

East

Large(100ormore)

0

0

0

3

5

5

114

86

126

124

139

140

729

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Table7:AchievedPanelSample

Food

TextilesandGarments

OtherManufacturing

Construction

Retail

OtherServices

GrandTotal

SanSalvador

Small(5-19)

1

2

16

2

11

14

110

SanSalvador

Medium(20-99)

2

3

10

1

7

9

SanSalvador

Large(100ormore)

6

9

9

2

3

3

GreaterSanSalvador

Small(5-19)

10

5

3

0

7

4

49

GreaterSanSalvador

Medium(20-99)

2

2

1

0

2

2

GreaterSanSalvador

Large(100ormore)

3

4

4

0

0

0

West

Small(5-19)

12

7

3

0

8

4

61

West

Medium(20-99)

5

2

3

0

6

6

West

Large(100ormore)

2

2

1

0

0

0

East

Small(5-19)

8

2

13

1

10

4

53

East

Medium(20-99)

4

1

3

0

4

2

East

Large(100ormore)

0

0

0

1

0

0

55

39

66

7

58

48

273

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Table8:WeakUniverseEstimates

Food

TextilesandGarments

OtherManufacturing

Construction

Retail

OtherServices

GrandTotal

SanSalvador

Small(5-19)

56

30

227

239

596

2,393

5,607

SanSalvador

Medium(20-99)

49

35

184

152

247

970

SanSalvador

Large(100ormore)

39

32

74

46

68

169

GreaterSanSalvador

Small(5-19)

18

8

26

25

143

231

773

GreaterSanSalvador

Medium(20-99)

13

0

38

0

43

127

GreaterSanSalvador

Large(100ormore)MediumandLarge

9

0

25

0

6

25

GreaterSanSalvador

(20+)

0

22

0

14

0

0

West

Small(5-19)

29

11

25

29

156

239

702

West

Medium(20-99)

7

5

19

22

44

81

West

Large(100ormore)

5

4

5

4

2

15

East

Small(5-19)

15

3

29

84

221

232

731

East

Medium(20-99)

0

2

4

18

43

51

East

Large(100ormore)MediumandLarge

0

0

0

3

10

10

East

(20