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NRVA 2005 sampling scheme 23 May 05

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NRVA 2005 Sampling Scheme

households as classified by t he CSO household list ing. The ur ban household populat ions in t hese 21 prov inces r anges from j ust 64 households in Kapisa t o 7,746 in Par w an. These urban populat ions are bot h sm all in num ber and not t hought t o be r epresent at iv e of a lifest y le t hat is so significant ly differ ent from t he r ur al households t hat t hese households need t o be sam pled separ at ely from t he r ur al populat ion. Ther efore t hese urban households w ill be j oined t oget her w it h t he r ur al populat ion in single sam ple

The r ur al pr ov incial household populat ion v ar ies

enor m ously according t o CSO's lat est dat a for 34 pr ov inces w hich consist s of dat a for 28 prov inces com plet ely

enum er at ed from t he CSO household list ing, and a fur t her t w o prov inces par t ially enum er at ed.

Collect ing r epr esent at iv e dat a w it h a propor t ional sam ple a prov ince level cr eat es a challenge because of t he large v ar iat ion in prov incial populat ion from t he sm allest populat ion being in t he prov ince of Nim roz w it h only 13,931 r ur al households t o Her at w it h 226,576 r ur al households. I f w e sam ple propor t ionally for Nim r oz w it h 350 households and use t he sam e sam pling fr act ion for all of a households in ot her pr ov inces t he sam ple would be prohibit iv ely large, m or e t han 80,000 households.

To com e w it hin t he budget , t he pr ov inces Jaw zj an w it h household list ing ex ercise has not been conduct ed in t hose ar eas, it m ay be possible t o collect dat a for t w o m or e

Sampling for provinces and districts where CSO

household listing sample frame is not available.

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w hich t o dr aw sam ple v illages. This r ecognises t hat t he FAO list is unlik ely t o include t he ur ban areas w it hin t hese dist r ict s. Once t he CSO household list ing has been com plet ed for t hese pr ov inces, appr opr iat e w eight s can be applied t o t he sam ple in each of t hese pr ov inces and dist r ict s.

Kuchi sampling for NRVA 2005

The household list ing conduct ed by CSO has not effect iv ely included t he m igr at ory k uchi populat ion t o dat e, hence t her e is no effect iv e sam pling fr am e for t his populat ion. Appar ent ly , t his lack of enum er at ion of t he k uchi

populat ion includes t hose t hat hav e recent ly set t led. This is ex act ly t he sam e populat ion t hat w as surv eyed dur ing w int er / spr ing 2004 by t he Nat ional Mult i- Sect or ial Assessm ent for Kuchi ( NAMAK) , I t he k uchi t hat is st ill nom adic and t hose t hat hav e r ecent ly set t led since t he onset of t he last drought per iod. This r em ains t he best est im at e of t he curr ent k uchi populat ion. The unit of observ at ion for t he surv ey w as t he k uchi w int er locat ion, w her e one or m or e k uchi com m unit ies m ay hav e been locat ed.

The sam ple fr am e for t his spr ing sum m er surv ey NRVA 05 w as cr eat ed by const r uct ing t he pr edict ed k uchi

populat ions t heir sum m er locat ion for w hich infor m at ion w as collect ed from t he NAMAK surv ey . The geogr aphic locat ion of t hese sum m er k uchi com m unit y ar eas is not pr ecise and t he best we can do is const r uct a sam pling fr am e w it h k uchi com m unit ies ( donat ed by t r ibe and sub t r ibe nam e) and t heir populat ion by dist r ict .

We can apply t he sam e sam pling fr act ion as appropr iat e for t he r ur al set t led and ur ban populat ions, and w e can effect iv ely select com m unit ies in t heir sum m er locat ion dist r ict s. This t hen giv es us a sam ple fr am e w it h a num ber of k uchi com m unit ies t o be select ed by sum m er dist r ict . Pr act ically , t r y ing t o t r ack dow n t he ex act com m unit y select ed in t he sam pling fr am e is appar ent ly close t o im possible, and t her efor e w e w ill hav e t o r esor t t o r andom ly select ing w it hin t he num ber of com m unit ies t hat can be ident ified from infor m at ion in t he dist r ict .

The accom pany ing spreadsheet s indicat es t he full sam ple fr am e w it h com m unit y nam e and t he sum m ary of t he num ber of k uchi com m unit ies by sum m er locat ion dist r ict . The lat t er w ill be used as t he planning t ool for dr aw ing t he k uchi sam pling NRVA 2005.

The sum m er sam ple fr am e produced households in for gener al k uchi t y pes in t he follow ing t able.

Kuchi t y pe HHs

Ex - long r ange m igr at ory 16,116 Ex - shor t r ange m igr at or y 21,282 Long r ange m igr at or y 123,792 Shor t r ange m igr at or y 78,669

Tot al 239,859

The r andom sam ple dr aw n produced t he num ber follow ing num ber of pr im ar y sam ple unit s by k uchi t ype. 29 pr im ar y sam pling unit s is t he m inim um needed t o pr oduce

r epr esent at iv e dat a, t her efor e it is clear t hat bot h long and shor t r ange m igr at or y k uchi can confident ly be analy sed as analy t ical dom ains. Whereas t he ex - long and ex - shor t r ange m igr at ory could for m a single analy t ical dom ain, i.e. t hose k uchi t hat a r ecent ly ex- m igr at ory but now set t led. This r ecent ly set t led analy t ical dom ain would need 5 ex t r a pr im ary sam ple unit s t o pr oduce a sam ple for w hich st at ist ics w it h a high lev el of confidence could be calculat ed.

Because of t he indet er m inat e nat ur e of ident ify ing differ ent com m unit ies and t her efor e different k uchi t y pes, t he figur es in t he t able below m ay not be r eflect ed in t he act ual sam ple. Therefor e t here w ill need t o be som e addit ional quest ions for t he k uchi com m unit ies t o ident ify t heir k uchi t y pe st at us, and possible ad hoc ex t r a pr im ar y sam ple unit s collect ed, depending on t he frequency of t he k uchi t y pes below being select ed as t he dist r ict lev el. Select ion and dist r ict lev el by k uchi t y pe w ill not be possible, as it w ill not be possible t o reliably ident ify t he k uchi t y pe of com m unit ies from infor m at ion at t he dist r ict lev el.

Kuchi t y pe sam ple # PSUs Ex long r ange m igr at ory 11 Ex shor t r ange m igr at or y 12 Long r ange m igr at or y 84 Shor t r ange m igr at or y 51

Mar gin 158

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