ࡱ> ?A  !"#$%&'()*+,-./0123456789:;<=>BRoot Entry F<@WorkbookxSummaryInformation(DocumentSummaryInformation8 \p Administrator Ba= ThisWorkbook=pA8X@"1Arial1Arial1Arial1Arial1.Times New Roman1.Times New Roman1.Times New Roman1.Times New Roman1Arial1 Calibri1  Calibri1 Calibri14 Calibri1  Calibri1 Calibri1 Calibri1,8 Calibri18 Calibri18 Calibri1> Calibri14 Calibri1< Calibri1? Calibri1h8 Cambria1 Calibri1  Calibri1. Times New Roman1. Times New Roman1. Times New Roman1. Times New Roman1. Times New Roman1. Times New Roman1. Times New Roman1. Times New Roman1 Arial1( Arial1$ Arial"$"#,##0_);\("$"#,##0\)!"$"#,##0_);[Red]\("$"#,##0\)""$"#,##0.00_);\("$"#,##0.00\)'""$"#,##0.00_);[Red]\("$"#,##0.00\)7*2_("$"* #,##0_);_("$"* \(#,##0\);_("$"* "-"_);_(@_).))_(* #,##0_);_(* \(#,##0\);_(* "-"_);_(@_)?,:_("$"* #,##0.00_);_("$"* \(#,##0.00\);_("$"* "-"??_);_(@_)6+1_(* #,##0.00_);_(* \(#,##0.00\);_(* "-"??_);_(@_)""#,##0;\-""#,##0""#,##0;[Red]\-""#,##0""#,##0.00;\-""#,##0.00#""#,##0.00;[Red]\-""#,##0.0050_-""* #,##0_-;\-""* #,##0_-;_-""* "-"_-;_-@_-,'_-* #,##0_-;\-* #,##0_-;_-* "-"_-;_-@_-=8_-""* #,##0.00_-;\-""* #,##0.00_-;_-""* "-"??_-;_-@_-4/_-* #,##0.00_-;\-* #,##0.00_-;_-* "-"??_-;_-@_-0.0\ \ \ \ \ \ \ \ \ \ \  0.0\ \ \ \ \ \ \ \ \ \ \ \ 0.0\ \ \ \ \ \ \ 0.00.000\ \ \ \ \ \ \                                                                       ff         P  P        `            a>  %   = ( ( 0 8 -             H  H !X  H #\ 1 L "x@ @ x@@ x@ x @ x@ x@@ x @  H 2x@ |@ @ x @ *| | |@ |@ @ !x@ @ "x@ @ "x@ "|@ #|@  "x@ #| #|@  H !x@ #| #|@ #| "|@ #| "x@ "|@ #|@  H #| "X " H " x x #X ||{;b}A} _-;_-* "ef-@_-_) }A} _-;_-* "ef-@_-_) }A} _-;_-* "ef-@_-_) }A} _-;_-* "ef-@_-_) }A} _-;_-* "ef-@_-_) }A} _-;_-* "ef -@_-_) }A} _-;_-* "L-@_-_) }A} _-;_-* "L-@_-_) }A} _-;_-* "L-@_-_) }A} _-;_-* "L-@_-_) }A} _-;_-* "L-@_-_) }A} _-;_-* "L -@_-_) }A} _-;_-* "23-@_-_) }A} _-;_-* "23-@_-_) }A} _-;_-* "23-@_-_) }A} _-;_-* "23-@_-_) }A}  _-;_-* "23-@_-_) }A}! _-;_-* "23 -@_-_) }A}" _-;_-* "-@_-_) }A}# _-;_-* "-@_-_) }A}$ _-;_-* "-@_-_) }A}% _-;_-* "-@_-_) }A}& _-;_-* "-@_-_) }A}' _-;_-* " -@_-_) }A}( _-;_-* "-@_-_) }}) }_-;_-* "-@_-_)    }}* _-;_-* "-@_-_) ??? ??? ??? ???}-}/ _-;_-* "}A}0 a_-;_-* "-@_-_) }A}1 _-;_-* "-@_-_) }A}2 _-;_-* "?-@_-_) }A}3 _-;_-* "23-@_-_) }-}4 _-;_-* "}}5 ??v_-;_-* "̙-@_-_)    }A}6 }_-;_-* "-@_-_) }A}7 e_-;_-* "-@_-_) }x}8_-;_-* "-@_  }}9 ???_-;_-* "-@_??? ???  ??? ???}-}; _-;_-* "}U}< _-;_-* "-@_ }-}= _-;_-* " 20% - Accent1M 20% - Accent1 ef % 20% - Accent2M" 20% - Accent2 ef % 20% - Accent3M& 20% - Accent3 ef % 20% - Accent4M* 20% - Accent4 ef % 20% - Accent5M. 20% - Accent5 ef % 20% - Accent6M2 20% - Accent6  ef % 40% - Accent1M 40% - Accent1 L % 40% - Accent2M# 40% - Accent2 L湸 % 40% - Accent3M' 40% - Accent3 L % 40% - Accent4M+ 40% - Accent4 L % 40% - Accent5M/ 40% - Accent5 L % 40% - Accent6M3 40% - Accent6  Lմ % 60% - Accent1M 60% - Accent1 23 % 60% - Accent2M$ 60% - Accent2 23ٗ % 60% - Accent3M( 60% - Accent3 23֚ % 60% - Accent4M, 60% - Accent4 23 % 60% - Accent5M0 60% - Accent5 23 %! 60% - Accent6M4 60% - Accent6  23 % "Accent1AAccent1 O % #Accent2A!Accent2 PM % $Accent3A%Accent3 Y % %Accent4A)Accent4 d % &Accent5A-Accent5 K % 'Accent6A1Accent6  F %(Bad9Bad  %) Calculation Calculation  }% * Check Cell Check Cell  %????????? ???+ Comma,( Comma [0]-&Currency.. Currency [0]/Explanatory TextG5Explanatory Text % 0Good;Good  a%1 Heading 1G Heading 1 I}%O2 Heading 2G Heading 2 I}%?3 Heading 3G Heading 3 I}%234 Heading 49 Heading 4 I}% 5InputuInput ̙ ??v% 6 Linked CellK Linked Cell }% 7NeutralANeutral  e%"Normal 8Noteb Note   9OutputwOutput  ???%????????? ???:$Percent ;Title1Title I}% <TotalMTotal %OO= Warning Text? Warning Text %XTableStyleMedium9PivotStyleLight16`FAnnex 1RSheet1gbZ 3 A@@  3.Data collectionFrequency of data collection Scope and coverage of collectionSampling method Sample sizeQuestionnaire %Estimation and reliability of results=Methodology of the Continuous Multi-Purpose Household Survey /Face to face interviewing of household members.NThe CMPHS questionnaire comprises three modules: a basic module common to all rounds of the survey covering the general characteristics of the population, one or more special topic modules dealing with subjects requiring in-depth investigation and a third module grouping other topics of interest but investigated in less details. ANNEX IStratified two-stage sampling design. At the first stage, Primary Sampling Units (PSUs) are selected with probability proportional to size and at the second stage, a fixed number of households is selected from each selected PSU. Prior to 2005, the first stage stratification factors were urban, semi urban and rural geographical locations. As from 2005, the Relative Development Index (RDI) is used as the spatial stratification factor. This index is based on 12 variables encompassing housing and living conditions, literacy and education, and employment derived from the 2000 Housing and Population Census to rank PSUs. A set of RDIs for administrative regions has been published in the series "Economic and Social Indicators" - Issue No. 393. HPrivate Mauritian households in the islands of Mauritius and Rodrigues. ZEvery year different topics are covered according to users' needs. As from 2004, the CMPHS is also being used as the instrument for the measurement of labour force, employment and unemployment on a quarterly basis; hence, a set of core questions on the labour force has been included and will be kept constant at all rounds of the survey. Estimates worked out from household survey data are inevitably subject to sampling variability since they are based on information collected from only a sample of households rather than from all households. The Standard Error (S.E) which is a measure of this variability, is used to set confidence intervals for any estimate (whether a total or a rate) derived from the sample. For example, a 95% confidence interval indicates that there is 95% chance that the upper and lower limits of the interval enclose the true value (which would be obtained if all households had been surveyed). Standard errors and confidence intervals are calculated for the main labour force estimates.-From 1999 to 2003, around 6,500 households were covered each year. In 2004, the sample was increased to 8,640 so that reliable quarterly estimates of labour force, employment and unemployment could be worked out. As from 2005, the sample for the year has been further increased to 11,280. Furthermore, in order to measure quarterly changes, 50% of the households sampled in a quarter are re-interviewed in the following quarter; for example, 50% of the households sampled in the first quarter of 2005 have been re-interviewed in the second quarter of 2005. ~The second stage stratification criteria are religious group, household size and average monthly expenditure of the household.Monthly except in 2004 when data collection was carried out every quarter. Up to 2005, the reference period for data on labour force was the last week of the survey month except in December when it was the second week. As from 2006, the reference week has been changed to the second week of the survey month so that estimates can be published within one quarter of the reference period, as required by the IMF Special Data Dissemination System (SDDS) to which the country expects to graduate by June 2010.J Labour force, Employment and Unemployment, 16 years and over, 2001 - 2009('000) ANNEX II Labour force&Employment (including foreign workers) UnemploymentYear MauritianForeign workersTotalin large establishments1 outside large establishmentsNumber Rate2 (%)  Both sexes  513.0 3!20052009 5  Male  339.8 3! Female  173.2 3 !  195.3 4!! 1 Employing 10 or more persons "; 2 Unemployment as a percentage of Mauritian labour forcer 3 The low increase results from the implementation of the Voluntary Retirement Scheme (VRS) in the sugar industryS 4 The decrease is explained by a larger number of female students and housewives 5 Forecast2~4 k5i@ CDDccB  #gNQR  dMbP?_*+%;&?'\(\?(?)?MOKI B410 odXo do OKI B410 dddd,"dXX??&U} m?} ;?} $ ?#@ @+@@ @@v@@<@ @ @   @ b@@L@@@;; K L JJ G G C H C A C I  C A C F A C @ E B C @> D@>>.    !J@"@(>@@B7 Sheet1ggD  &Seh  dMbP?_*+%,&ffffff?'ffffff?(?)?",333333?333333?&<3U} mN} N}  N&  ,@ i@ YZ Z ,@ ,@ J@ ,@ ,@ ,@ ,h ,j ;j ;j ,@ ,@ J@ ,@ ,@ ,@ ,@ ,@ J@ J@ ,@ ,@ h@ ,@ ,@ ,@ ,@ ,@ MOP Q RS T UV W WW XY [ \ \ ] ^ ^ _ ` a b cccccccc~ dD@e@~ f0@ffffffv@fr@f@fA@eYA@f3ڦ3@~ dH@ e!$f1@f@f@fh@f@ehfffffB@~ f@~ dL@e43333G@f4333332@~ fR@ffffffr@f@f0@e D@ffu@~ dP@efffff@~ f1@ffffff&@~ f@f\j@f23333@eLF@f:>5o @ g"~ e@ f0@~ fL@ f43333Cr@ fj@f@ e<3333I@ flD6"#@ dX@e@ f433330@~ f@ fqr@~ f@ ffffff@ edffffH@ fYs)"@ d\@eA@f@fԁ@ fr@!   L L ifffffk@   f]@   ep= cG@ fo !@~ d`@ e43333{@    L L f8@   f33333;@   fys@   el@   f@  ! e333333D@  DD % f@['Z@ D D d d# e43333@   f5@   f43333_@  fs@   e̜m@  f@ ! e@3333F@  DD!% f ]7~1 @D D d k$elmllfff0dD@e@f @fA@lc@l a@f@e`fffff2@f"l@~ dH@ e%0f@f@la@la@f@e2@f@$dL@e@f@fu@la@lfffffa@~ f.@e3@fQ@$dP@e@f"@fl@lw@lfffffvb@f u@e4@fIq@ g"e@fp@f43333kv@~ l|@lfffffb@~ f(u@e@333334@f3!n@dX@e(@f @fA@lg@lb@fHu@e0333333@f7@d\@eD@l@f43333v@n@nb@!fu@  DDe Gz2@f9,@$d`@e]@l@f@n i@lfffffVc@!f33333;v@ DD~ eЖ@fffffff@ d#%edv@D@~ l*@!f4w@ DD%nh@D @%lc@ D@!f,v@  DD!e0@  DD%f@f/@~ d\@ e(f#@f@"fZ@  DDil@f?@e833333<@~ f@Dl>Z~(d/(XPlpn/(XdnX`X ;@! ;@" w@# ,@$ ,@% ,@ d`@e@ f"@* f@f@f@fJ@e(@fؓ@ !q#%!r43333j@ D 333333@~ !s @!!s43333k@ ! D!D!!sfffffZ@ ! D %!sgffffS@ !D 333333@!!sffffffg@ ! D!D!!!rpfffff=@ ! D!D!%!s=l}0,@ D!D!d "t) "uvZ "w*"ZZZZ #x+ #xxx #w,#yzZZ$xxxx $w-$ZZZZ%ZZZZZZZZZdV)>>2(  n  c 4NChart 1 & f]@Φ  PP PZaajk&?'?(?)?"@XX??3&PH 0(  3d23   MR R R R9*i+! S S4 3QQQQ3_  MM  dR R R R+ 0  "$S S4ES S 4D$% 0`63O&$Q4$% `63O&$Q4FA)3OA23 bR RR RV Vd:#! M .(QRS S43*#! M43" e3Oc% 03O&%Q423   MR RR R R R9*i+! S S4<{ S S 4S S4S S4DA2 [S S 4eee >@   #$ggD  Oh+'0HP`x AppaduAdministratorMicrosoft Excel@a;@@2<՜.+,0 PXd lt|  Annex 1Sheet1  WorksheetsCompObjr F&Microsoft Office Excel 2003 WorksheetBiff8Excel.Sheet.89q