Region North Central Central Coast Southeast Southeast Northern Uplands Northern Uplands Central Coast Red River Delta Red River Delta Southeast Central Coast Mekong River Delta North Ce[r]
(1)IMG Institut de Mathématique Gauss Carré F.X Lemieux Lévis, Québec, Canada G6W 1H2 418 837 1139 img@globetrotter.net Multidimensional Poverty Technical Appendices LOUIS-MARIE ASSELIN This document has been produced with the financial support of the MIMAP programme, IDRC, Canada (2) Appendix Community Questionnaire and Data Dictionary (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) (19) (20) (21) (22) (23) (24) (25) (26) (27) (28) DICTIONARY OF COMMUNE QUESTIONNAIRE VLSS92-93 PRICE scr1.dta section int %8.0g cum int %8.0g name str30 %30s antro int %8.0g super int %8.0g date1 float %9.0g date2 float %9.0g date3 float %9.0g section int %8.0g cum int %8.0g order int %8.0g observ str30 %30s price1 float %9.0g price2 float %9.0g price3 float %9.0g section int %8.0g cum int %8.0g order int %8.0g observ str30 %30s price1 float %9.0g price2 float %9.0g price3 float %9.0g section int %8.0g cum int %8.0g order int %8.0g observ str30 %30s price1 float %9.0g price2 float %9.0g price3 float %9.0g section int %8.0g cum int %8.0g scr2.dta scr3.dta scr4.dta scr5.dta (29) order int %8.0g observ str30 %30s price1 float %9.0g price2 float %9.0g price3 float %9.0g section int %8.0g cum int %8.0g order int %8.0g price1 float %9.0g price2 float %9.0g price3 float %9.0g section int %8.0g cum int %8.0g name str30 %30s date int %8.0g sup int %8.0g tim1 int %8.0g tim2 int %8.0g tim3 int %8.0g tim4 int %8.0g section int %8.0g cum int %8.0g order str30 %30s titl str30 %30s prof str30 %30s section int %8.0g cum int %8.0g s1q01 int %8.0g s1q02 int %8.0g s1q03d int %8.0g s1q03m int %8.0g s1q03y int %8.0g s1q04 int %8.0g s1q051 int %8.0g scr6.dta COMMUNITY scr01.dta scr02.dta scr03.dta (30) 10 s1q052 int %8.0g 11 s1q053 int %8.0g 12 s1q054 int %8.0g 13 s1q061 int %8.0g 14 s1q062 int %8.0g 15 s1q063 int %8.0g 16 s1q07 int %8.0g section int %8.0g cum int %8.0g s1q011 int %8.0g s1q012 int %8.0g s1q013 int %8.0g s1q02 int %8.0g s1q031 int %8.0g s1q032 int %8.0g scr04.dta s1q033 int %8.0g 10 s1q034 int %8.0g 11 s1q04 int %8.0g 12 s1q05 int %8.0g 13 s1q06 int %8.0g 14 s1q07 int %8.0g 15 s1q08 int %8.0g 16 s1q09 int %8.0g 17 s1q10 int %8.0g 18 s1q11 int %8.0g 19 s1q12 int %8.0g 20 s1q13 int %8.0g section int %8.0g cum int %8.0g s2q14 int %8.0g s2q15 int %8.0g s2q16 float %9.0g s2q17 int %8.0g s2q18n int %8.0g s2q18p float %9.0g s2q19n int %8.0g 10 s2q19p float %9.0g 11 s2q20 int %8.0g 12 s2q21 int %8.0g 13 s2q22t int %8.0g scr05.dta (31) 14 s2q22u int %8.0g 15 s2q23 int %8.0g 16 s2q24 int %8.0g 17 s2q25 int %8.0g 18 s2q26t int %8.0g 19 s2q26u int %8.0g 20 s2q27 int %8.0g 21 s2q28 int %8.0g 22 s2q29 int %8.0g 23 s2q30 int %8.0g section int %8.0g cum int %8.0g s2q31t int %8.0g s2q31u int %8.0g s2q32a int %8.0g s2q32s int %8.0g s2q33 int %8.0g s2q34 int %8.0g s2q35 int %8.0g 10 s2q36t int %8.0g 11 s2q36u int %8.0g 12 s2q37a int %8.0g 13 s2q37s int %8.0g section int %8.0g cum int %8.0g s2q38a str30 %30s s2q38b str30 %30s s2q38c str30 %30s s2q39 int %8.0g s2q40 int %8.0g s2q41a str30 %30s s2q41b str30 %30s 10 s2q41c str30 %30s 11 s2q42h int %8.0g 12 s2q42p int %8.0g section int %8.0g cum int %8.0g s3q01 int %8.0g scr06.dta scr07.dta scr08.dta (32) s3q02 int %8.0g s3q03 int %8.0g s3q04h int %8.0g s3q04m int %8.0g section int %8.0g cum int %8.0g num int %8.0g s3q05 str30 %30s s3q06 int %8.0g s3q07 int %8.0g s3q08 int %8.0g s3q09 int %8.0g s3q10 int %8.0g 10 s3q11 int %8.0g 11 s3q12 int %8.0g section int %8.0g cum int %8.0g s3q131 float %9.0g s3q132 float %9.0g s3q14 int %8.0g s3q15 int %8.0g s3q161 int %8.0g s3q162 int %8.0g s3q171 int %8.0g 10 s3q172 int %8.0g 11 s3q181 int %8.0g 12 s3q182 int %8.0g 13 s3q183 int %8.0g 14 s3q191 int %8.0g 15 s3q192 int %8.0g 16 s3q193 int %8.0g section int %8.0g cum int %8.0g s3q20 int %8.0g s3q21 float %9.0g s3q22 int %8.0g s4q23h int %8.0g s4q23m int %8.0g scr09.dta scr10.dta scr11.dta (33) name str30 %30s loca str30 %30s 10 s3q24 int %8.0g 11 s3q25 int %8.0g 12 s3q26 int %8.0g 13 s3q27 float %9.0g 14 s3q28 float %9.0g 15 s3q29 int %8.0g 16 s3q301 int %8.0g 17 s3q302 int %8.0g 18 s3q311 int %8.0g 19 s3q312 int %8.0g 20 s3q321 int %8.0g 21 s3q322 int %8.0g 22 s3q323 int %8.0g 23 s3q331 int %8.0g 24 s3q332 int %8.0g 25 s3q333 int %8.0g section int %8.0g cum int %8.0g s3q34 int %8.0g s3q35 float %9.0g s3q36 int %8.0g s4q37h int %8.0g s4q37m int %8.0g name str30 %30s loca str30 %30s 10 s3q38 int %8.0g 11 s3q39 int %8.0g 12 s3q40 float %9.0g 13 s3q41 int %8.0g 14 s3q42 int %8.0g 15 s3q431 int %8.0g 16 s3q432 int %8.0g 17 s3q441 int %8.0g 18 s3q442 int %8.0g 19 s3q451 int %8.0g 20 s3q452 int %8.0g 21 s3q453 int %8.0g int %8.0g scr12.dta scr13.dta section (34) cum int %8.0g s3q46 int %8.0g s3q47 int %8.0g s3q48 int %8.0g s3q49 int %8.0g s3q50t int %8.0g s3q50m int %8.0g s3q50w int %8.0g section int %8.0g cum int %8.0g item str1 %9s s4q01 int %8.0g s4q02 float %9.0g s4q03 str30 %30s s4q04h int %8.0g s4q04m int %8.0g s4q05 int %8.0g section int %8.0g cum int %8.0g s4q006 int %8.0g spec str30 %30s s4q071 int %8.0g s4q072 int %8.0g s4q073 int %8.0g s4q081 int %8.0g scr14.dta scr15.dta s4q082 int %8.0g 10 s4q083 int %8.0g 11 s4q09 int %8.0g 12 s4q10 int %8.0g 13 s4q11 int %8.0g 14 s4q12 int %8.0g 15 s4q13 int %8.0g 16 s4q14 int %8.0g 17 s4q15 int %8.0g section int %8.0g cum int %8.0g crop int %8.0g s5q02 int %8.0g scr16.dta (35) s5q031 int %8.0g s5q032 int %8.0g s5q033 int %8.0g s5q034 int %8.0g s5q035 int %8.0g 10 s5q036 int %8.0g 11 s5q041 int %8.0g 12 s5q042 int %8.0g 13 s5q043 int %8.0g section int %8.0g cum int %8.0g s5q05a int %8.0g s5q05b float %9.0g s5q05c float %9.0g s5q05d float %9.0g s5q05e float %9.0g s5q05f float %9.0g section int %8.0g cum int %8.0g s5q06a int %8.0g s5q076 float %9.0g section int %8.0g cum int %8.0g s5q07a int %8.0g s5q07b float %9.0g section int %8.0g cum int %8.0g ln int %8.0g s5q08a int %8.0g s5q08b float %9.0g s5q08c float %9.0g s5q08d float %9.0g section int %8.0g cum int %8.0g scr17.dta scr18.dta scr19.dta scr20.dta scr21.dta (36) s5q09a str1 %9s s5q09b str1 %9s s5q09c str1 %9s s5q09d str1 %9s s5q09e str1 %9s s5q09f str1 %9s s5q09g str1 %9s 10 s5q09h str1 %9s 11 s5q09i str1 %9s 12 s5q10 int %8.0g section int %8.0g cum int %8.0g s5q11 int %8.0g s5q12 float %9.0g s5q13 int %8.0g s5q141 int %8.0g s5q142 int %8.0g s5q143 int %8.0g s5q15 int %8.0g 10 s5q16 int %8.0g 11 s5q17 int %8.0g 12 s5q18 int %8.0g 13 s5q19 int %8.0g 14 s5q20 int %8.0g 15 s5q21 int %8.0g 16 s5q22m1 int %8.0g 17 s5q22m2 int %8.0g 18 s5q22m3 int %8.0g 19 s5q22m4 int %8.0g 20 s5q22w1 int %8.0g 21 s5q22w2 int %8.0g 22 s5q22w3 int %8.0g 23 s5q22w4 int %8.0g 24 s5q22c1 int %8.0g 25 s5q22c2 int %8.0g 26 s5q22c3 int %8.0g 27 s5q22c4 int %8.0g section int %8.0g cum int %8.0g s5q23 int %8.0g scr22.dta scr23.dta (37) s5q23m int %8.0g s5q23w int %8.0g s5q23c int %8.0g s5q25 int %8.0g s5q261 int %8.0g s5q262 int %8.0g 10 s5q263 int %8.0g 11 s5q27 int %8.0g 12 s5q28 int %8.0g 10 (38) Appendix Data Exploration with Multiple Correspondence Analysis (39) VLSS-1 Communes Data Exploration 39 variables 111 categories Homals Credit HOMALS Version 1.0 by Data Theory Scaling System Group (DTSS) Faculty of Social and Behavioral Sciences Leiden University, The Netherlands Case Processing Summary Cases Used in Analysis 120 Marginal Frequencies C-Is there an agric coop in the community? AgricY AgricN Missing Marginal Frequency 77 43 C-Where most of women give birth? home hos,cli other Missing Marginal Frequency 35 80 C-Clinic in community clinYes clinNO Missing Marginal Frequency 37 83 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (40) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Doctor in community Doctor-Y Doctor-N Missing Marginal Frequency 50 70 C-Distance kms to hospital d<=3k d3-10k d>10k Missing Marginal Frequency 23 49 47 C-Do hlds have electricity? C-None C-A few C-Most Missing Marginal Frequency 15 50 55 C-large enterprise < 10 kms entYES entNO Missing Marginal Frequency 55 65 C-Is there an agric ext center in the community? ExtY ExtN Missing Marginal Frequency 31 89 C-food shop foodsYES foodsNO Missing Marginal Frequency 52 68 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (41) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Proportion of land quality Land1=0 Land1<25 Land1>25 Missing Marginal Frequency 57 41 22 C-Proportion of land quality Land2=0 land2<25 Land2>25 Missing Marginal Frequency 40 55 25 C-Proportion of land quality Land3=0 land3<25 Land3>25 Missing Marginal Frequency 28 61 31 C-Proportion of land quality Land4=0 land4<25 Land4>25 Missing Marginal Frequency 23 72 25 C-Proportion of land quality Land5=0 land5<25 Land5>25 Missing Marginal Frequency 24 70 26 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (42) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Proportion of land quality Land6=0 land6<25 Land6>25 Missing Marginal Frequency 34 69 17 C-Proportion of land quality Land7=0 land7<25 Land7>25 Missing Marginal Frequency 53 51 16 C-loud speaker speakYES speakNO Missing Marginal Frequency 64 56 C-Fees at lower secondary school fLS<25 fLS25-50 fLS50+ Missing Marginal Frequency 28 48 43 C-market no mark periodic daily Missing Marginal Frequency 40 16 64 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (43) VLSS-1 Communes Data Exploration 39 variables 111 categories C-First reason not attending prim sch too far too exp illness parents other Missing Marginal Frequency 19 51 21 17 12 C-First reason not attend sec school too far too exp not able parents other Missing Marginal Frequency 10 62 26 11 11 C-Pharmacist in community phcistY phcistN Missing Marginal Frequency 65 55 C-Pharmacy in community Pharm-Y Pharm-N Missing Marginal Frequency 85 35 C-post office postYES postNO Missing Marginal Frequency 41 79 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (44) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Study fees at grade 1-3 (000 dongs) fee<10 fee>=10 Missing Marginal Frequency 58 62 C-Study fees at grade 4-5 (000 dongs) fee<10 fee>=10 Missing Marginal Frequency 54 66 C-Primary enrolment rate primr80 primr90 prir100 Missing Marginal Frequency 22 15 83 C-Major health service prob in commun lackfaci lackmedi quality sanitary other Missing Marginal Frequency 71 15 11 15 C-Major health problem in community Malaria malnutri Respirat other Missing Marginal Frequency 31 51 24 14 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (45) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Major problem primary school-rec Poor mat Living S Budget Quality Missing Marginal Frequency 76 32 10 C-Major problem lower second school poor mat living s other Missing Marginal Frequency 63 35 18 C-Distance public transportation pubt0k pubt3k pubt10k pubt11k+ Missing Marginal Frequency 62 15 28 15 C-Road passes by the community roadYES rosdNO Missing Marginal Frequency 103 17 C-Enrol.rate at lower secondary school s<=35 s35-70 s>70 Missing Marginal Frequency 31 35 54 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (46) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Is there a lower secondary school? secs nosecs Missing Marginal Frequency 106 14 C-Traditional healer in community tradheY tradheN Missing Marginal Frequency 77 43 C-Traditional midwife in community tradmidY tradmidN Missing Marginal Frequency 87 33 C-Trained midwife in community traimidY traimidN Missing Marginal Frequency 101 19 C-Source of drinking water rain drilled dug well river other Missing Marginal Frequency 79 30 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (47) VLSS-1 Communes Data Exploration 39 variables 111 categories Iteration History Iteration 16a Fit ,308254 Difference from the Previous Iteration ,000007 a The iteration was terminated because convergence criteria are satisified Eigenvalues Dimension Eigenvalue ,186 ,122 Discrimination Measures Dimension C-Is there an agric coop in the community? C-Where most of women give birth? C-Clinic in community C-Doctor in community C-Distance kms to hospital C-Do hlds have electricity? C-large enterprise < 10 kms C-Is there an agric ext center in the community? C-food shop C-Proportion of land quality C-Proportion of land quality C-Proportion of land quality C-Proportion of land quality C-Proportion of land quality C-Proportion of land quality C-Proportion of land quality C-loud speaker C-Fees at lower secondary school ,115 ,375 ,337 ,111 ,005 ,252 ,259 ,133 ,209 ,177 ,514 ,154 ,254 ,044 ,206 ,004 ,132 ,221 ,492 ,121 ,371 ,244 ,107 ,178 ,016 ,178 ,176 ,175 ,167 ,243 ,123 ,096 ,315 ,095 ,081 ,072 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (48) VLSS-1 Communes Data Exploration 39 variables 111 categories Discrimination Measures Dimension C-market C-First reason not attending prim sch C-First reason not attend sec school C-Pharmacist in community C-Pharmacy in community C-post office C-Study fees at grade 1-3 (000 dongs) C-Study fees at grade 4-5 (000 dongs) C-Primary enrolment rate C-Major health service prob in commun C-Major health problem in community C-Major problem primary school-rec C-Major problem lower second school C-Distance public transportation C-Road passes by the community C-Enrol.rate at lower secondary school C-Is there a lower secondary school? C-Traditional healer in community C-Traditional midwife in community C-Trained midwife in community C-Source of drinking water ,194 ,171 ,388 ,133 ,289 ,081 ,138 ,019 ,262 ,095 ,079 ,193 ,021 ,096 ,021 ,079 ,348 ,136 ,070 ,021 ,299 ,077 ,219 ,138 ,278 ,083 ,175 ,164 ,106 ,046 ,287 ,072 ,030 ,002 ,018 ,094 ,069 ,015 ,009 ,001 ,078 ,178 L.-M Asselin 02-10-30 Appendix page 10 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (49) VLSS-1 Communes Data Exploration 39 variables 111 categories Discrimination Measures ,4 C-Is there a ,3 C-Clinic in Dimension C-Proportion C-Proportion C-food shop C-post offic ,2 C-Source C-Proportion C-Proportion of C-Distance k C-Proportion C-market C-Distance p C-Do hlds C-Major probC-Primary C-Doctor in C-Firstenreas C-Where most C-Proportion C-Study fees C-Proportion C-Pharmacy C-loud speak i C-Traditiona C-Major prob C-First reas ,1 C-Fees C-Study fees at lo C-Major heal C-Enrol.rate C-Road passe C-large ente C-Major heal C-Pharmacist C-Traditiona C-Is there a C-Is there C-Trained mi a 0,0 -,1 0,0 ,1 ,2 ,3 ,4 ,5 ,6 Dimension Quantifications C-Is there an agric coop in the community? AgricY AgricN Missing Marginal Frequency 77 43 Category Quantifications Dimension -,252 ,458 ,455 -,819 C-Where most of women give birth? home hos,cli other Missing Marginal Frequency 35 80 Category Quantifications Dimension ,902 ,008 -,385 ,096 -,125 -1,589 L.-M Asselin 02-10-30 Appendix page 11 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (50) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Clinic in community clinYes clinNO Missing Marginal Frequency 37 83 Category Quantifications Dimension -,109 -,763 ,050 ,340 C-Doctor in community Doctor-Y Doctor-N Missing Marginal Frequency 50 70 Category Quantifications Dimension -,593 -,432 ,426 ,309 C-Distance kms to hospital d<=3k d3-10k d>10k Missing Marginal Frequency 23 49 47 Category Quantifications Dimension -,669 -,705 -,153 ,438 ,539 -,091 C-Do hlds have electricity? C-None C-A few C-Most Missing Marginal Frequency 15 50 55 Category Quantifications Dimension 1,007 ,277 ,539 -,464 -,761 ,346 L.-M Asselin 02-10-30 Appendix page 12 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (51) VLSS-1 Communes Data Exploration 39 variables 111 categories C-large enterprise < 10 kms Marginal Frequency 55 65 entYES entNO Missing Category Quantifications Dimension -,546 -,228 ,465 ,193 C-Is there an agric ext center in the community? Marginal Frequency 31 89 ExtY ExtN Missing Category Quantifications Dimension -,768 -,109 ,269 ,038 C-food shop foodsYES foodsNO Missing Marginal Frequency 52 68 Category Quantifications Dimension -,414 -,537 ,319 ,411 C-Proportion of land quality Land1=0 Land1<25 Land1>25 Missing Marginal Frequency 57 41 22 Category Quantifications Dimension ,683 -,261 -,346 ,483 -1,117 -,224 L.-M Asselin 02-10-30 Appendix page 13 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (52) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Proportion of land quality Land2=0 land2<25 Land2>25 Missing Marginal Frequency 40 55 25 Category Quantifications Dimension ,783 -,632 -,180 ,490 -,852 -,067 C-Proportion of land quality Land3=0 land3<25 Land3>25 Missing Marginal Frequency 28 61 31 Category Quantifications Dimension ,593 -,757 -,191 ,277 -,154 ,140 C-Proportion of land quality Land4=0 land4<25 Land4>25 Missing Marginal Frequency 23 72 25 Category Quantifications Dimension ,122 -,857 -,101 ,161 ,184 ,324 C-Proportion of land quality Land5=0 land5<25 Land5>25 Missing Marginal Frequency 24 70 26 Category Quantifications Dimension -,638 -,570 -,024 ,351 ,660 -,420 L.-M Asselin 02-10-30 Appendix page 14 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (53) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Proportion of land quality Land6=0 land6<25 Land6>25 Missing Marginal Frequency 34 69 17 Category Quantifications Dimension -,600 -,487 ,149 ,419 ,604 -,726 C-Proportion of land quality Land7=0 land7<25 Land7>25 Missing Marginal Frequency 53 51 16 Category Quantifications Dimension -,188 -,309 -,079 ,352 ,884 -,100 C-loud speaker speakYES speakNO Missing Marginal Frequency 64 56 Category Quantifications Dimension -,524 -,288 ,601 ,330 C-Fees at lower secondary school fLS<25 fLS25-50 fLS50+ Missing Marginal Frequency 28 48 43 Category Quantifications Dimension ,296 ,078 ,135 ,263 -,384 -,347 L.-M Asselin 02-10-30 Appendix page 15 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (54) VLSS-1 Communes Data Exploration 39 variables 111 categories C-market no mark periodic daily Missing Marginal Frequency 40 16 64 Category Quantifications Dimension ,471 ,462 ,476 ,390 -,410 -,386 C-First reason not attending prim sch too far too exp illness parents other Missing Marginal Frequency 19 51 21 17 12 Category Quantifications Dimension ,919 -,310 ,064 -,274 -1,172 ,291 ,285 ,250 -,066 ,791 C-First reason not attend sec school too far too exp not able parents other Missing Marginal Frequency 10 62 26 11 11 Category Quantifications Dimension 1,049 -,504 ,254 -,172 -,856 ,384 -,191 ,251 -,156 ,271 C-Pharmacist in community phcistY phcistN Missing Marginal Frequency 65 55 Category Quantifications Dimension -,340 -,126 ,405 ,149 L.-M Asselin 02-10-30 Appendix page 16 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (55) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Pharmacy in community Pharm-Y Pharm-N Missing Marginal Frequency 85 35 Category Quantifications Dimension -,327 -,197 ,798 ,479 C-post office postYES postNO Missing Marginal Frequency 41 79 Category Quantifications Dimension -,390 -,610 ,204 ,317 C-Study fees at grade 1-3 (000 dongs) fee<10 fee>=10 Missing Marginal Frequency 58 62 Category Quantifications Dimension ,152 ,321 -,140 -,300 C-Study fees at grade 4-5 (000 dongs) fee<10 fee>=10 Missing Marginal Frequency 54 66 Category Quantifications Dimension ,162 ,310 -,130 -,254 L.-M Asselin 02-10-30 Appendix page 17 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (56) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Primary enrolment rate primr80 primr90 prir100 Missing Marginal Frequency 22 15 83 Category Quantifications Dimension 1,132 -,590 ,390 -,494 -,368 ,246 C-Major health service prob in commun lackfaci lackmedi quality sanitary other Missing Marginal Frequency 71 15 11 15 Category Quantifications Dimension -,016 ,053 ,867 -,274 -,014 -,183 -,459 ,294 -,024 -,140 C-Major health problem in community Malaria malnutri Respirat other Missing Marginal Frequency 31 51 24 14 Category Quantifications Dimension ,799 -,278 -,385 ,303 -,479 -,301 ,465 ,026 C-Major problem primary school-rec Poor mat Living S Budget Quality Missing Marginal Frequency 76 32 10 Category Quantifications Dimension ,348 ,176 -,553 -,558 -,582 ,581 -1,401 -,667 L.-M Asselin 02-10-30 Appendix page 18 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (57) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Major problem lower second school poor mat living s other Missing Marginal Frequency 63 35 18 Category Quantifications Dimension ,406 ,056 -,789 -,390 -,258 ,498 C-Distance public transportation pubt0k pubt3k pubt10k pubt11k+ Missing Marginal Frequency 62 15 28 15 Category Quantifications Dimension -,246 -,304 -,428 ,844 ,303 -,029 ,892 ,468 C-Road passes by the community roadYES rosdNO Missing Marginal Frequency 103 17 Category Quantifications Dimension -,131 ,087 ,802 -,526 C-Enrol.rate at lower secondary school s<=35 s35-70 s>70 Missing Marginal Frequency 31 35 54 Category Quantifications Dimension ,836 -,274 ,017 -,212 -,488 ,295 L.-M Asselin 02-10-30 Appendix page 19 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (58) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Is there a lower secondary school? secs nosecs Missing Marginal Frequency 106 14 Category Quantifications Dimension -,062 ,018 ,478 -,133 C-Traditional healer in community tradheY tradheN Missing Marginal Frequency 77 43 Category Quantifications Dimension -,100 -,229 ,183 ,410 C-Traditional midwife in community tradmidY tradmidN Missing Marginal Frequency 87 33 Category Quantifications Dimension ,163 -,075 -,424 ,199 C-Trained midwife in community traimidY traimidN Missing Marginal Frequency 101 19 Category Quantifications Dimension -,041 -,010 ,226 ,052 L.-M Asselin 02-10-30 Appendix page 20 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (59) VLSS-1 Communes Data Exploration 39 variables 111 categories C-Source of drinking water Marginal Frequency 79 30 rain drilled dug well river other Missing Category Quantifications Dimension -,102 -,467 ,414 ,306 -,166 ,291 ,269 -,607 ,959 -,710 10 kms Quantifications C-Do hlds have elect ricity? 1,0 Dimension pubt3kother Budget other land2<25 Land1<25 Pharm-N pubt11k+ no mark d3-10k land6<25 tradheN foodsNO periodic not able AgricY ,5 illness land7<25 land5<25 C-Most clinNO speakNO Land4>25 fee<10 postNO Doctor-N drilled malnutri sanitary s>70 dug well C-None land3<25 other fLS25-50 parents parents prir100 tradmidN entNO Poor mat land4<25 phcistN Land3>25 hos,cli roadYES fLS<25 poor mathome lackfaci traimidN ExtN other secs traimidY pubt10k Land2>25 tradmidY d>10k Land7>25 ExtY phcistY nosecs other 0,0 too exp quality Pharm-Y s35-70 Land1>25 entYES tradheY fee>=10 lackmedi too exp Land1=0 s<=35 Malaria speakYES fee>=10 Respirat pubt0k Land7=0 too far fLS50+ living sdaily rain Land5>25 Doctor-Y C-A few Land6=0 primr90 too far rosdNO foodsYES Living S primr80 river Land2=0 postYES -,5Quality Land5=0 d<=3k clinYes Land6>25 other Land3=0 AgricN Land4=0 C-Distance kms to ho spital C-Doctor in communit y C-Clinic in communit y -1,0 C-Where most of wome n give birth? other -1,5 C-Is there an agric -2,0 -1,5 coop in the communit -1,0 -,5 0,0 ,5 1,0 1,5 Dimension Object Scores Dimension 2,110 -,288 1,055 ,824 ,796 -2,063 1,037 ,433 ,930 ,592 1,249 ,832 1,548 ,600 1,230 ,244 -,245 -,046 L.-M Asselin 02-10-30 Appendix page 21 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (60) VLSS-1 Communes Data Exploration 39 variables 111 categories Object Scores 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 Dimension -,103 1,182 1,252 1,033 ,250 1,681 -,553 -,896 ,166 -1,690 -1,305 -1,350 -,702 1,364 ,282 ,319 -,162 -,167 ,409 -,405 ,353 -,123 -2,283 -1,398 -1,824 -1,204 -1,341 -1,460 -1,779 -1,172 -1,598 -,927 -1,788 -1,499 -,997 -,598 ,019 -,822 -,774 -,772 ,686 -1,579 -,906 -,759 ,790 1,598 ,469 ,116 -,133 1,087 ,061 -,355 ,776 -,108 -,662 ,045 -,955 ,835 ,889 1,695 1,344 1,489 1,905 ,867 ,223 ,845 ,728 -,949 -,299 -,513 1,270 -,002 -,430 ,098 -,180 ,494 ,897 -,198 -,346 ,441 1,166 1,402 1,003 ,893 1,204 ,627 -,196 1,241 ,419 1,496 L.-M Asselin 02-10-30 Appendix page 22 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (61) VLSS-1 Communes Data Exploration 39 variables 111 categories Object Scores Dimension 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 ,090 ,053 -1,310 -,265 -,233 ,112 -,112 1,563 ,175 ,884 ,548 ,319 ,939 -,418 2,113 -,234 -1,696 ,549 1,494 -1,120 1,963 -,529 -,199 -,282 -,995 ,281 -1,027 -,938 -,175 ,980 1,197 -,043 ,877 ,402 ,083 ,984 -,909 1,184 -1,109 ,303 -,451 ,934 ,619 -,745 -,711 1,567 1,327 -,285 1,770 ,981 1,159 ,755 -,230 1,569 -,083 ,573 ,487 1,336 ,988 ,679 ,749 -1,178 ,021 -1,053 ,388 ,138 1,291 ,849 ,821 -,179 -,388 -1,068 ,502 -,362 ,066 -,732 -2,081 ,731 -,965 -,348 -1,411 -,770 -1,907 -,960 -,567 -,707 -,811 -1,794 -1,615 -1,257 L.-M Asselin 02-10-30 Appendix page 23 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (62) VLSS-1 Communes Data Exploration 39 variables 111 categories Object Scores 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 Dimension -,419 -1,509 ,306 -1,487 ,042 -1,663 -,521 -,764 ,059 -1,070 ,421 -1,060 ,815 -,857 -,227 -,730 ,141 ,584 -,905 -1,378 ,345 -1,580 -,331 -1,882 1,445 ,045 1,602 -,514 -,519 -,385 -,191 -2,209 ,519 -1,659 1,427 -,553 1,338 -,686 1,397 -1,243 1,724 -,816 L.-M Asselin 02-10-30 Appendix page 24 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-explo.spo (63) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_AGRCOO C-Is there an agric coop in the communit ,6 AgricY ,4 ,2 ,0 -,2 -,4 DIM2 -,6 AgricN -,8 -1,0 -,3 -,2 -,1 -,0 ,1 ,2 ,3 ,4 ,5 DIM1 VARNAME_: C_BIRTH C-Where most of women give birth? ,5 hos,cli home 0,0 -,5 -1,0 other DIM2 -1,5 -2,0 -,4 -,2 0,0 ,2 ,4 ,6 ,8 1,0 DIM1 VARNAME_: C_CLINIC C-Clinic in community ,4 clinNO ,2 0,0 -,2 -,4 DIM2 -,6 clinYes -,8 -,2 -,1 0,0 ,1 DIM1 VARNAME_: C_DOCTOR C-Doctor in community ,4 Doctor-N ,2 -,0 -,2 Doctor-Y DIM2 -,4 -,6 -,8 -,6 -,4 -,2 0,0 ,2 ,4 ,6 DIM1 L.-M Asselin 02-11-04 Appendix page 25 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo (64) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_DSTHOS C-Distance kms to hospital ,6 d3-10k ,4 ,2 0,0 d>10k -,2 DIM2 -,4 -,6 d<=3k -,8 -,8 -,6 -,4 -,2 0,0 ,2 ,4 ,6 DIM1 VARNAME_: C_ELEC ,4 C-Do hlds have electricity? C-Most C-None ,2 -,0 -,2 DIM2 -,4 C-A few -,6 -1,0 -,5 0,0 ,5 1,0 1,5 DIM1 VARNAME_: C_ENTERP C-large enterprise < 10 kms ,3 entNO ,2 ,1 -,0 -,1 DIM2 -,2 entYES -,3 -,6 -,4 -,2 -,0 ,2 ,4 ,6 DIM1 VARNAME_: C_EXTCEN C-Is there an agric ext center in the co ,06 ExtN ,04 ,02 0,00 -,02 -,04 -,06 DIM2 -,08 -,10 ExtY -,12 -,8 -,6 -,4 -,2 0,0 ,2 ,4 DIM1 L.-M Asselin 02-11-04 Appendix page 26 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo (65) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_FOODSH C-food shop ,6 foodsNO ,4 ,2 -,0 -,2 DIM2 -,4 foodsYES -,6 -,6 -,4 -,2 -,0 ,2 ,4 DIM1 VARNAME_: C_LAND1 C-Proportion of land quality ,6 Land1<25 ,4 ,2 0,0 Land1>25 DIM2 -,2 -,4 -1,5 Land1=0 -1,0 -,5 0,0 ,5 1,0 DIM1 VARNAME_: C_LAND2 ,6 C-Proportion of land quality land2<25 ,4 ,2 0,0 Land2>25 -,2 DIM2 -,4 Land2=0 -,6 -,8 -1,0 -,5 0,0 ,5 1,0 DIM1 VARNAME_: C_LAND3 C-Proportion of land quality ,4 land3<25 ,2 Land3>25 0,0 -,2 -,4 DIM2 -,6 Land3=0 -,8 -,4 -,2 0,0 ,2 ,4 ,6 ,8 DIM1 L.-M Asselin 02-11-04 Appendix page 27 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo (66) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_LAND4 C-Proportion of land quality ,6 ,4 Land4>25 land4<25 ,2 ,0 -,2 -,4 DIM2 -,6 Land4=0 -,8 -1,0 -,2 -,1 0,0 ,1 ,2 DIM1 VARNAME_: C_LAND5 C-Proportion of land quality ,6 ,4 land5<25 ,2 -,0 -,2 Land5>25 DIM2 -,4 Land5=0 -,6 -,8 -,6 -,4 -,2 0,0 ,2 ,4 ,6 ,8 DIM1 VARNAME_: C_LAND6 C-Proportion of land quality ,6 land6<25 ,4 ,2 0,0 -,2 DIM2 -,4 Land6=0 -,6 Land6>25 -,8 -,8 -,6 -,4 -,2 0,0 ,2 ,4 ,6 ,8 DIM1 VARNAME_: C_LAND7 ,4 C-Proportion of land quality land7<25 ,3 ,2 ,1 0,0 Land7>25 -,1 DIM2 -,2 Land7=0 -,3 -,4 -,2 0,0 ,2 ,4 ,6 ,8 1,0 DIM1 L.-M Asselin 02-11-04 Appendix page 28 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo (67) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_LOUDSP C-loud speaker ,4 speakNO ,3 ,2 ,1 -,0 DIM2 -,1 -,2 speakYES -,3 -,6 -,4 -,2 -,0 ,2 ,4 ,6 ,8 DIM1 VARNAME_: C_LSECFE C-Fees at lower secondary school ,3 fLS25-50 ,2 fLS<25 ,1 0,0 -,1 DIM2 -,2 -,3 fLS50+ -,4 -,4 -,3 -,2 -,1 0,0 ,1 ,2 ,3 ,4 DIM1 VARNAME_: C_MARKET C-market ,6 no mark periodic ,4 ,2 0,0 DIM2 -,2 daily -,4 -,6 -,4 -,2 -,0 ,2 ,4 ,6 DIM1 VARNAME_: C_NOATTP C-First reason not attending prim sch 1,0 other ,8 ,6 ,4 illness parents ,2 DIM2 0,0 -,2 too exp -,4 -1,5 -1,0 -,5 0,0 too far ,5 1,0 DIM1 L.-M Asselin 02-11-04 Appendix page 29 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo (68) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_NOATTS C-First reason not attend sec school ,4 other parents ,2 -,0 too exp -,2 DIM2 -,4 too far -,6 -1,0 -,5 0,0 ,5 1,0 1,5 DIM1 VARNAME_: C_PHAMAC C-Pharmacist in community ,2 phcistN ,1 0,0 DIM2 -,1 phcistY -,2 -,4 -,2 0,0 ,2 ,4 ,6 DIM1 VARNAME_: C_PHARM C-Pharmacy in community ,7 ,6 Pharm-N ,5 ,4 ,3 ,2 ,1 -,0 DIM2 -,1 Pharm-Y -,2 -,3 -,4 -,2 0,0 ,2 ,4 ,6 ,8 1,0 DIM1 VARNAME_: C_POSTOF C-post office ,4 postNO ,2 0,0 -,2 -,4 DIM2 postYES -,6 -,8 -,4 -,3 -,2 -,1 0,0 ,1 ,2 ,3 DIM1 L.-M Asselin 02-11-04 Appendix page 30 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo (69) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_PRIFEA C-Study fees at grade 1-3 (000 dongs) ,4 fee<10 ,3 ,2 ,1 0,0 -,1 -,2 DIM2 fee>=10 -,3 -,4 -,2 -,1 0,0 ,1 ,2 DIM1 VARNAME_: C_PRIFEB C-Study fees at grade 4-5 (000 dongs) ,4 fee<10 ,3 ,2 ,1 -,0 DIM2 -,1 -,2 fee>=10 -,3 -,2 -,1 0,0 ,1 ,2 DIM1 VARNAME_: C_PRIRAT C-Primary enrolment rate ,4 prir100 ,2 0,0 -,2 -,4 primr90 primr80 DIM2 -,6 -,8 -,4 -,2 0,0 ,2 ,4 ,6 ,8 1,0 1,2 DIM1 VARNAME_: C_PROBHS C-Major health service prob in commun ,3 ,2 ,1 lackfaci -,0 -,1 other quality DIM2 -,2 lackmedi -,3 -,6 -,4 -,2 -,0 ,2 ,4 ,6 ,8 1,0 DIM1 L.-M Asselin 02-11-04 Appendix page 31 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo (70) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_PROBLH C-Major health problem in community ,4 malnutri ,3 ,2 ,1 other 0,0 -,1 -,2 Malaria DIM2 Respirat -,3 -,4 -,6 -,4 -,2 -,0 ,2 ,4 ,6 ,8 1,0 DIM1 VARNAME_: C_PROBLP C-Major problem primary school-rec ,6 ,4 Poor mat ,2 0,0 -,2 -,4 DIM2 Living S -,6 Quality -,8 -1,5 -1,0 -,5 0,0 ,5 DIM1 VARNAME_: C_PROBLS C-Major problem lower second school ,6 other ,4 ,2 poor mat 0,0 DIM2 -,2 living s -,4 -,8 -,6 -,4 -,2 0,0 ,2 ,4 ,6 DIM1 VARNAME_: C_PUBTRA C-Distance public transportation 1,0 pubt3k ,8 ,6 pubt11k+ ,4 ,2 pubt10k DIM2 0,0 -,2 pubt0k -,4 -,6 -,4 -,2 -,0 ,2 ,4 ,6 ,8 1,0 DIM1 L.-M Asselin 02-11-04 Appendix page 32 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo (71) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_ROADS C-Road passes by the community ,2 ,1 roadYES ,0 -,1 -,2 -,3 DIM2 -,4 rosdNO -,5 -,6 -,2 0,0 ,2 ,4 ,6 ,8 1,0 DIM1 VARNAME_: C_SECRAT C-Enrol.rate at lower secondary school ,4 s>70 ,3 ,2 ,1 -,0 DIM2 -,1 s35-70 -,2 s<=35 -,3 -,6 -,4 -,2 -,0 ,2 ,4 ,6 ,8 1,0 DIM1 VARNAME_: C_SECSCH C-Is there a lower secondary school? ,04 secs ,02 0,00 -,02 -,04 -,06 -,08 DIM2 -,10 -,12 nosecs -,14 -,1 0,0 ,1 ,2 ,3 ,4 ,5 DIM1 VARNAME_: C_TRADHE C-Traditional healer in community ,5 tradheN ,4 ,3 ,2 ,1 -,0 DIM2 -,1 tradheY -,2 -,3 -,2 -,1 0,0 ,1 ,2 DIM1 L.-M Asselin 02-11-04 Appendix page 33 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo (72) VLSS-1 Communes Data Exploration 39 variables 111 categories VARNAME_: C_TRADMI C-Traditional midwife in community ,3 tradmidN ,2 ,1 DIM2 0,0 tradmidY -,1 -,5 -,4 -,3 -,2 -,1 0,0 ,1 ,2 DIM1 VARNAME_: C_TRAIMI C-Trained midwife in community ,06 traimidN ,05 ,04 ,03 ,02 ,01 0,00 DIM2 traimidY -,01 -,02 -,1 0,0 ,1 ,2 ,3 DIM1 VARNAME_: C_WATER ,4 C-Source of drinking water drilled dug well ,2 0,0 -,2 -,4 rain river DIM2 -,6 other -,8 -,4 -,2 0,0 ,2 ,4 ,6 ,8 1,0 DIM1 L.-M Asselin 02-11-04 Appendix page 34 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Report\INDEXCOM03-Graph_1.spo (73) Discrimination Measures Dimension C-Do hlds have electricity? C-Proportion of land quality C-First reason not attending prim sch C-Proportion of land quality C-Primary enrolment rate C-Where most of women give birth? C-loud speaker C-Major health problem in community C-First reason not attend sec school C-Enrol.rate at lower secondary school C-Major problem lower second school C-Pharmacy in community C-large enterprise < 10 kms C-Doctor in community C-Major problem primary school-rec C-Distance kms to hospital C-Is there an agric ext center in the community? C-market C-Proportion of land quality C-Distance public transportation C-Proportion of land quality C-Pharmacist in community C-food shop C-Proportion of land quality C-Is there an agric coop in the community? C-Proportion of land quality C-Road passes by the community C-Fees at lower secondary school C-post office C-Source of drinking water C-Major health service prob in commun C-Traditional midwife in community C-Is there a lower secondary school? C-Study fees at grade 1-3 (000 dongs) C-Study fees at grade 4-5 (000 dongs) C-Traditional healer in community C-Proportion of land quality C-Trained midwife in community C-Clinic in community Louis-Marie Asselin 02-11-04 0,514 0,492 0,388 0,371 0,348 0,337 0,315 0,299 0,289 0,287 0,278 0,262 0,254 0,252 0,219 0,209 0,206 0,194 0,176 0,175 0,167 0,138 0,132 0,123 0,115 0,107 0,106 0,081 0,079 0,078 0,07 0,069 0,03 0,021 0,021 0,018 0,016 0,009 0,005 0,154 0,121 0,133 0,244 0,136 0,111 0,095 0,077 0,081 0,072 0,083 0,095 0,044 0,133 0,138 0,177 0,004 0,171 0,175 0,164 0,243 0,019 0,221 0,096 0,375 0,178 0,046 0,072 0,193 0,178 0,021 0,015 0,002 0,096 0,079 0,094 0,178 0,001 0,259 VLSS1-Communes-explo-discr.xls Rank dim Rank dim 2 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 14 19 17 16 20 23 29 27 30 26 24 33 18 15 10 37 12 11 13 35 21 32 31 34 36 38 22 28 25 39 Appendix page 35 (74) Appendix Final Data Analysis with Multiple Correspondence Analysis (75) VLSS-1 Communes Final Data Analysis 24 variables 56 categories Homals Credit HOMALS Version 1.0 by Data Theory Scaling System Group (DTSS) Faculty of Social and Behavioral Sciences Leiden University, The Netherlands Case Processing Summary Cases Used in Analysis 120 Marginal Frequencies C-Is there an agric coop in the community? AgricY AgricN Missing Marginal Frequency 77 43 C-Where most of women give birth? home hos,cli other Missing Marginal Frequency 35 80 C-Clinic in community clinYes clinNO Missing Marginal Frequency 37 83 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (76) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Doctor in community Doctor-Y Doctor-N Missing Marginal Frequency 50 70 C-Distance kms to hospital d<=3k d3-10k d>10k Missing Marginal Frequency 23 49 47 C-Do hlds have electricity? C-None C-A few C-Most Missing Marginal Frequency 15 50 55 C-large enterprise < 10 kms entYES entNO Missing Marginal Frequency 55 65 C-Is there an agric ext center in the community? ExtY ExtN Missing Marginal Frequency 31 89 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (77) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-food shop foodsYES foodsNO Missing Marginal Frequency 52 68 C-Proportion of land quality Land1=0 Land1<25 Land1>25 Missing Marginal Frequency 57 41 22 C-Proportion of land quality Land7=0 land7<25 Land7>25 Missing Marginal Frequency 53 51 16 C-loud speaker speakYES speakNO Missing Marginal Frequency 64 56 C-market dailyNO dailyYES Missing Marginal Frequency 56 64 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (78) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Pharmacist in community phcistY phcistN Missing Marginal Frequency 65 55 C-Pharmacy in community Pharm-Y Pharm-N Missing Marginal Frequency 85 35 C-post office postYES postNO Missing Marginal Frequency 41 79 C-Primary enrolment rate primr80 primr90 prir100 Missing Marginal Frequency 22 15 83 C-Distance public transportation pubt3k pubt10k pubt11k+ Missing Marginal Frequency 77 28 15 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (79) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Road passes by the community roadYES rosdNO Missing Marginal Frequency 103 17 C-Enrol.rate at lower secondary school s<=35 s35-70 s>70 Missing Marginal Frequency 31 35 54 C-Is there a lower secondary school? secs nosecs Missing Marginal Frequency 106 14 C-Traditional healer in community tradheY tradheN Missing Marginal Frequency 77 43 C-Traditional midwife in community tradmidY tradmidN Missing Marginal Frequency 87 33 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (80) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Trained midwife in community Marginal Frequency 101 19 traimidY traimidN Missing Iteration History Iteration 9a Fit ,348877 Difference from the Previous Iteration ,000010 a The iteration was terminated because convergence criteria are satisified Eigenvalues Dimension Eigenvalue ,216 ,133 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (81) VLSS-1 Communes Final Data Analysis 24 variables 56 categories Discrimination Measures Dimension C-Is there an agric coop in the community? C-Where most of women give birth? C-Clinic in community C-Doctor in community C-Distance kms to hospital C-Do hlds have electricity? C-large enterprise < 10 kms C-Is there an agric ext center in the community? C-food shop C-Proportion of land quality C-Proportion of land quality C-loud speaker C-market C-Pharmacist in community C-Pharmacy in community C-post office C-Primary enrolment rate C-Distance public transportation C-Road passes by the community C-Enrol.rate at lower secondary school C-Is there a lower secondary school? C-Traditional healer in community C-Traditional midwife in community C-Trained midwife in community ,034 ,489 ,291 ,201 ,044 ,374 ,183 ,051 ,186 ,159 ,398 ,371 ,295 ,001 ,231 ,009 ,276 ,134 ,326 ,149 ,093 ,060 ,382 ,326 ,023 ,120 ,268 ,031 ,414 ,046 ,209 ,210 ,175 ,283 ,312 ,029 ,133 ,125 ,222 ,203 ,053 ,003 ,078 ,139 ,026 ,172 ,010 ,029 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (82) VLSS-1 Communes Final Data Analysis 24 variables 56 categories Discrimination Measures ,5 ,4 C-Do hlds C-Primary en ,3 Dimension C-Enrol.rate C-Where most ,2C-Clinic in C-post offic C-Traditiona C-Distance kC-Proportion C-Traditiona C-food shop C-Road passe C-market ,1 C-Proportion C-Doctor in C-Pharmacy i C-Pharmacist C-Distance C-Trained mi C-loudpspeak C-Is there a C-Is there a C-large ente 0,0 -,1 0,0 ,1 ,2 ,3 ,4 ,5 Dimension Quantifications C-Is there an agric coop in the community? AgricY AgricN Missing Marginal Frequency 77 43 Category Quantifications Dimension ,138 -,523 -,245 ,936 C-Where most of women give birth? home hos,cli other Missing Marginal Frequency 35 80 Category Quantifications Dimension -,835 ,250 ,329 -,227 ,600 1,888 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (83) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Clinic in community clinYes clinNO Missing Marginal Frequency 37 83 Category Quantifications Dimension ,316 ,641 -,140 -,286 C-Doctor in community Doctor-Y Doctor-N Missing Marginal Frequency 50 70 Category Quantifications Dimension ,724 ,267 -,516 -,191 C-Distance kms to hospital d<=3k d3-10k d>10k Missing Marginal Frequency 23 49 47 Category Quantifications Dimension ,776 ,382 ,009 -,478 -,425 ,312 C-Do hlds have electricity? C-None C-A few C-Most Missing Marginal Frequency 15 50 55 Category Quantifications Dimension -1,237 -,230 -,297 ,709 ,609 -,582 L.-M Asselin 02-10-30 Appendix page D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (84) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-large enterprise < 10 kms Marginal Frequency 55 65 entYES entNO Missing Category Quantifications Dimension ,591 -,029 -,499 ,025 C-Is there an agric ext center in the community? Marginal Frequency 31 89 ExtY ExtN Missing Category Quantifications Dimension ,815 -,159 -,283 ,055 C-food shop foodsYES foodsNO Missing Marginal Frequency 52 68 Category Quantifications Dimension ,601 ,418 -,459 -,320 C-Proportion of land quality Land1=0 Land1<25 Land1>25 Missing Marginal Frequency 57 41 22 Category Quantifications Dimension -,562 ,404 ,309 -,390 ,884 -,320 L.-M Asselin 02-10-30 Appendix page 10 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (85) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Proportion of land quality Land7=0 land7<25 Land7>25 Missing Category Quantifications Dimension ,139 ,237 ,100 -,281 -,774 ,110 Marginal Frequency 53 51 16 C-loud speaker speakYES speakNO Missing Category Quantifications Dimension ,579 ,143 -,660 -,164 Marginal Frequency 64 56 C-market dailyNO dailyYES Missing Marginal Frequency 56 64 Category Quantifications Dimension -,610 -,370 ,535 ,324 C-Pharmacist in community phcistY phcistN Missing Marginal Frequency 65 55 Category Quantifications Dimension ,477 ,162 -,562 -,191 L.-M Asselin 02-10-30 Appendix page 11 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (86) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Pharmacy in community Pharm-Y Pharm-N Missing Marginal Frequency 85 35 Category Quantifications Dimension ,413 ,138 -1,002 -,335 C-post office postYES postNO Missing Marginal Frequency 41 79 Category Quantifications Dimension ,635 ,581 -,329 -,302 C-Primary enrolment rate primr80 primr90 prir100 Missing Marginal Frequency 22 15 83 Category Quantifications Dimension -,913 ,879 -,181 ,664 ,276 -,353 C-Distance public transportation pubt3k pubt10k pubt11k+ Missing Marginal Frequency 77 28 15 Category Quantifications Dimension ,388 ,051 -,441 ,100 -1,165 -,446 L.-M Asselin 02-10-30 Appendix page 12 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (87) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Road passes by the community roadYES rosdNO Missing Marginal Frequency 103 17 Category Quantifications Dimension ,149 -,144 -,897 ,871 C-Enrol.rate at lower secondary school s<=35 s35-70 s>70 Missing Marginal Frequency 31 35 54 Category Quantifications Dimension -,732 ,675 -,013 ,067 ,430 -,431 C-Is there a lower secondary school? secs nosecs Missing Marginal Frequency 106 14 Category Quantifications Dimension ,084 -,021 -,634 ,158 C-Traditional healer in community tradheY tradheN Missing Marginal Frequency 77 43 Category Quantifications Dimension ,210 ,278 -,374 -,499 L.-M Asselin 02-10-30 Appendix page 13 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (88) VLSS-1 Communes Final Data Analysis 24 variables 56 categories C-Traditional midwife in community Marginal Frequency 87 33 tradmidY tradmidN Missing Category Quantifications Dimension -,098 ,255 ,261 -,673 C-Trained midwife in community traimidY traimidN Missing Marginal Frequency 101 19 Category Quantifications Dimension ,045 ,074 -,233 -,391 C-large enterprise < Quantifications 10 kms other 2,0 C-Do hlds have elect ricity? 1,5 C-Distance kms to ho spital AgricN primr80 rosdNO few clinYes s<=35 C-A primr90 postYES foodsYES Land1=0 d<=3k ,5 dailyYES tradheY Doctor-Y tradmidY home d>10k Land7=0 phcistY nosecs speakYES Pharm-Y Land7>25 pubt10k traimidY s35-70 ExtN pubt3k entNO secs entYES 0,0 ExtY Doctor-N roadYES phcistN hos,cli C-None speakNO land7<25 clinNO postNO foodsNO Land1>25 Pharm-N prir100 dailyNO traimidNLand1<25 s>70 pubt11k+ tradheNd3-10k AgricY C-Most -,5 tradmidN Dimension 1,0 C-Doctor in communit y C-Clinic in communit y C-Where most of wome n give birth? C-Is there an agric -1,0 -1,5 coop in the communit -1,0 -,5 0,0 ,5 1,0 Dimension L.-M Asselin 02-10-30 Appendix page 14 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (89) VLSS-1 Communes Final Data Analysis 24 variables 56 categories Object Scores 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 Dimension -2,301 -,408 -1,287 -,698 -,013 1,700 -1,177 ,225 -1,033 -,165 -1,296 -,597 -1,412 -,845 -1,365 ,090 -,509 -,661 -,139 -1,653 -1,268 ,040 -1,186 ,627 -1,167 -,889 -,445 -,751 -,966 -,053 ,022 -,355 ,946 -1,089 ,706 ,118 1,508 -,238 1,139 -,899 1,115 -,492 ,430 -1,011 -1,694 -,212 -1,123 -1,613 -,487 -,074 -,008 -,798 -,486 -1,855 -,652 -1,017 ,581 ,013 -,700 -,825 ,254 -,422 1,772 -,050 ,730 -1,050 1,928 ,199 ,663 -1,663 ,893 -,886 1,261 -,498 1,419 -,421 1,194 -,587 1,268 -1,017 ,397 -1,779 1,564 -,738 1,410 ,265 ,347 -,704 L.-M Asselin 02-10-30 Appendix page 15 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (90) VLSS-1 Communes Final Data Analysis 24 variables 56 categories Object Scores Dimension 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 ,490 ,049 ,444 ,854 ,975 -,993 1,430 ,316 ,582 -,900 -,103 -,568 1,453 -,367 ,471 ,158 -,181 -2,157 -,799 -,683 -,542 -,122 -1,478 ,403 -2,467 ,007 1,707 -,085 -1,056 1,305 -2,028 ,535 ,546 ,142 1,352 ,459 1,290 ,513 ,728 -,644 -,774 1,233 -1,093 ,669 -,698 -,764 -,679 -,357 -,751 -,168 -,573 -1,225 -,811 -,734 -,857 -,571 -,035 -1,512 -1,321 -,872 -,896 -,308 -1,569 -,742 -1,141 ,027 -,877 -,273 ,233 -,424 -,203 ,496 ,445 -,486 ,099 -,828 -,180 -,559 ,310 ,882 ,597 -1,001 ,578 ,331 ,364 1,410 ,282 1,314 L.-M Asselin 02-10-30 Appendix page 16 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (91) VLSS-1 Communes Final Data Analysis 24 variables 56 categories Object Scores Dimension 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 ,561 -,818 ,770 ,127 1,337 -,037 ,736 -1,000 -,046 ,640 ,630 ,952 ,515 ,247 1,080 ,155 -,453 -,442 ,360 -,477 ,862 ,209 ,917 -1,722 -1,616 -,139 ,584 -,267 -1,421 -1,334 -1,112 -1,628 ,735 1,540 -,185 2,206 ,142 ,107 ,844 ,849 1,830 ,577 ,833 1,773 1,665 2,112 1,131 1,861 1,547 1,193 1,264 ,290 ,977 1,575 2,769 ,927 ,889 -,250 2,050 2,353 1,331 ,415 1,198 1,238 L.-M Asselin 02-10-30 Appendix page 17 D:\CF Gauss projets\Formation SISERA Dakar nov 2002\Volume 2\Homals VLSS1-COMMUNES-final.spo (92) VLSS-1 Communes Final Data Analysis 24 variables 56 categories VARNAME_: C_AGRCOO C-Is there an agric coop in the communit 1,2 AgricN 1,0 ,8 ,6 ,4 ,2 -,0 DIM2 -,2 -,4 AgricY -,6 -,3 -,2 -,1 -,0 ,1 ,2 DIM1 VARNAME_: C_BIRTH C-Where most of women give birth? 2,5 other 2,0 1,5 1,0 ,5 home DIM2 0,0 hos,cli -,5 -1,0 -,8 -,6 -,4 -,2 ,0 ,2 ,4 ,6 ,8 DIM1 VARNAME_: C_CLINIC C-Clinic in community ,8 clinYes ,6 ,4 ,2 0,0 DIM2 -,2 clinNO -,4 -,2 -,1 0,0 ,1 ,2 ,3 ,4 DIM1 VARNAME_: C_DOCTOR C-Doctor in community ,3 Doctor-Y ,2 ,1 0,0 DIM2 -,1 Doctor-N -,2 -,6 -,4 -,2 -,0 ,2 ,4 ,6 ,8 DIM1 L.-M Asselin 02-11-04 Appendix page 18 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\INDEXCOM04-Graph_1.spo (93) VLSS-1 Communes Final Data Analysis 24 variables 56 categories VARNAME_: C_DSTHOS C-Distance kms to hospital ,6 d<=3k ,4 d>10k ,2 -,0 -,2 DIM2 -,4 d3-10k -,6 -,6 -,4 -,2 -,0 ,2 ,4 ,6 ,8 1,0 DIM1 VARNAME_: C_ELEC ,8 C-Do hlds have electricity? C-A few ,6 ,4 ,2 -,0 C-None DIM2 -,2 -,4 C-Most -,6 -1,5 -1,0 -,5 0,0 ,5 1,0 DIM1 VARNAME_: C_ENTERP C-large enterprise < 10 kms ,03 entNO ,02 ,01 0,00 -,01 DIM2 -,02 entYES -,03 -,6 -,4 -,2 -,0 ,2 ,4 ,6 ,8 DIM1 VARNAME_: C_EXTCEN C-Is there an agric ext center in the co ,1 ExtN 0,0 -,1 DIM2 ExtY -,2 -,4 -,2 0,0 ,2 ,4 ,6 ,8 1,0 DIM1 L.-M Asselin 02-11-04 Appendix page 19 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\INDEXCOM04-Graph_1.spo (94) VLSS-1 Communes Final Data Analysis 24 variables 56 categories VARNAME_: C_FOODSH C-food shop ,6 foodsYES ,4 ,2 0,0 DIM2 -,2 foodsNO -,4 -,6 -,4 -,2 -,0 ,2 ,4 ,6 ,8 DIM1 VARNAME_: C_LAND1 C-Proportion of land quality ,6 Land1=0 ,4 ,2 -,0 -,2 Land1>25 Land1<25 DIM2 -,4 -,6 -,8 -,6 -,4 -,2 0,0 ,2 ,4 ,6 ,8 1,0 DIM1 VARNAME_: C_LAND7 C-Proportion of land quality ,3 Land7=0 ,2 Land7>25 ,1 -,0 -,1 DIM2 -,2 land7<25 -,3 -1,0 -,8 -,6 -,4 -,2 0,0 ,2 DIM1 VARNAME_: C_LOUDSP C-loud speaker ,2 speakYES ,1 0,0 DIM2 -,1 speakNO -,2 -,8 -,6 -,4 -,2 0,0 ,2 ,4 ,6 ,8 DIM1 L.-M Asselin 02-11-04 Appendix page 20 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\INDEXCOM04-Graph_1.spo (95) VLSS-1 Communes Final Data Analysis 24 variables 56 categories VARNAME_: C_MARKET C-market ,4 dailyYES ,3 ,2 ,1 0,0 -,1 DIM2 -,2 -,3 dailyNO -,4 -,8 -,6 -,4 -,2 0,0 ,2 ,4 ,6 ,8 DIM1 VARNAME_: C_PHAMAC C-Pharmacist in community ,2 phcistY ,1 0,0 DIM2 -,1 phcistN -,2 -,8 -,6 -,4 -,2 0,0 ,2 ,4 ,6 DIM1 VARNAME_: C_PHARM C-Pharmacy in community ,2 Pharm-Y ,1 0,0 -,1 -,2 DIM2 -,3 Pharm-N -,4 -1,2 -1,0 -,8 -,6 -,4 -,2 ,0 ,2 ,4 ,6 DIM1 VARNAME_: C_POSTOF C-post office ,8 postYES ,6 ,4 ,2 0,0 DIM2 -,2 postNO -,4 -,4 -,2 0,0 ,2 ,4 ,6 ,8 DIM1 L.-M Asselin 02-11-04 Appendix page 21 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\INDEXCOM04-Graph_1.spo (96) VLSS-1 Communes Final Data Analysis 24 variables 56 categories VARNAME_: C_PRIRAT C-Primary enrolment rate 1,0 primr80 ,8 primr90 ,6 ,4 ,2 DIM2 0,0 -,2 prir100 -,4 -1,0 -,8 -,6 -,4 -,2 0,0 ,2 ,4 DIM1 VARNAME_: C_PUBTRA C-Distance public transportation ,2 pubt10k ,1 pubt3k 0,0 -,1 -,2 DIM2 -,3 -,4 pubt11k+ -,5 -1,4 -1,2 -1,0 -,8 -,6 -,4 -,2 ,0 ,2 ,4 ,6 DIM1 VARNAME_: C_ROADS C-Road passes by the community 1,0 rosdNO ,8 ,6 ,4 ,2 DIM2 0,0 roadYES -,2 -1,0 -,8 -,6 -,4 -,2 0,0 ,2 ,4 DIM1 VARNAME_: C_SECRAT C-Enrol.rate at lower secondary school ,8 s<=35 ,6 ,4 ,2 s35-70 -,0 DIM2 -,2 s>70 -,4 -,6 -,8 -,6 -,4 -,2 0,0 ,2 ,4 ,6 DIM1 L.-M Asselin 02-11-04 Appendix page 22 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\INDEXCOM04-Graph_1.spo (97) VLSS-1 Communes Final Data Analysis 24 variables 56 categories VARNAME_: C_SECSCH C-Is there a lower secondary school? ,2 nosecs ,1 DIM2 0,0 secs -,1 -,8 -,6 -,4 -,2 0,0 ,2 DIM1 VARNAME_: C_TRADHE C-Traditional healer in community ,4 tradheY ,2 -,0 -,2 DIM2 -,4 tradheN -,6 -,5 -,4 -,3 -,2 -,1 ,0 ,1 ,2 ,3 DIM1 VARNAME_: C_TRADMI C-Traditional midwife in community ,4 tradmidY ,2 0,0 -,2 -,4 DIM2 -,6 tradmidN -,8 -,2 -,1 0,0 ,1 ,2 ,3 DIM1 VARNAME_: C_TRAIMI C-Trained midwife in community ,2 ,1 traimidY 0,0 -,1 -,2 DIM2 -,3 -,4 -,3 traimidN -,2 -,1 0,0 ,1 DIM1 L.-M Asselin 02-11-04 Appendix page 23 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\INDEXCOM04-Graph_1.spo (98) Discrimination Measures VLSS-1 Communes Final Data Analysis 24 variables 56 categories Dimension C-Pharmacy in community C-Do hlds have electricity? C-loud speaker C-Doctor in community C-Proportion of land quality C-market C-Distance public transportation C-large enterprise < 10 kms C-Where most of women give birth? C-food shop C-Pharmacist in community C-Is there an agric ext center in the community? C-Enrol.rate at lower secondary school C-Primary enrolment rate C-post office C-Distance kms to hospital C-Road passes by the community C-Proportion of land quality C-Traditional healer in community C-Is there a lower secondary school? C-Clinic in community C-Is there an agric coop in the community? C-Traditional midwife in community C-Trained midwife in community 0,414 0,398 0,382 0,374 0,326 0,326 0,312 0,295 0,291 0,276 0,268 0,231 0,222 0,21 0,209 0,186 0,133 0,093 0,078 0,053 0,044 0,034 0,026 0,01 0,046 0,371 0,023 0,051 0,149 0,12 0,029 0,001 0,201 0,134 0,031 0,009 0,203 0,283 0,175 0,159 0,125 0,06 0,139 0,003 0,183 0,489 0,172 0,029 Rank dim Rank dim 2 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 17 21 16 10 14 19 24 12 18 22 13 15 11 23 20 Appendix page 24 (99) Communes ordered according to decreasing multidimensional poverty 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 Code of the community 69 62 75 112 23 120 113 67 117 118 11 12 13 24 119 87 73 96 50 15 54 90 63 85 30 64 28 84 56 65 25 27 108 105 14 106 58 116 61 10 114 66 Composite Poverty Indicator -2,467 -2,301 -2,157 -2,028 -1,722 -1,694 -1,628 -1,616 -1,478 -1,421 -1,412 -1,365 -1,334 -1,296 -1,287 -1,268 -1,186 -1,177 -1,167 -1,123 -1,112 -1,093 -1,056 -1,033 -1,000 -,993 -,966 -,900 -,818 -,799 -,774 -,700 -,683 -,652 -,644 -,568 -,542 -,509 -,487 -,486 -,477 -,453 -,445 -,442 -,367 -,267 -,181 -,139 -,139 -,122 Total population 1985 1719 4147 4360 12193 5614 22691 22865 2547 6189 3967 5292 9019 2984 3308 3620 6501 3617 1085 6618 16816 6483 7110 4787 12595 8578 2570 4699 5531 5356 5301 8957 2264 3505 5767 4387 3860 10428 13755 9597 7602 13328 6710 13886 6533 10497 7626 4283 14956 8509 Total number of households 364 272 904 608 2074 1060 3885 3969 546 1032 623 1054 1563 502 582 695 1148 617 221 1354 2733 1325 931 900 2501 1548 470 1130 1139 1106 932 2156 555 585 994 820 720 1906 2686 1958 1407 2773 1461 2633 1132 2146 1651 843 2756 1780 Region North Central Northern Uplands North Central Central Coast Mekong River Delta Northern Uplands Mekong River Delta Mekong River Delta North Central Mekong River Delta Northern Uplands Northern Uplands Mekong River Delta Northern Uplands Northern Uplands Northern Uplands Northern Uplands Northern Uplands Red River Delta Northern Uplands Mekong River Delta Southeast Central Highlands Northern Uplands Southeast Red River Delta Red River Delta North Central Mekong River Delta North Central Central Highlands Red River Delta North Central Northern Uplands Central Coast North Central North Central Northern Uplands Northern Uplands Northern Uplands Mekong River Delta Mekong River Delta Red River Delta Mekong River Delta North Central Mekong River Delta North Central Northern Uplands Mekong River Delta North Central Appendix page 25 (100) Communes ordered according to decreasing multidimensional poverty 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 Code of the community 55 72 97 94 26 70 16 46 92 78 104 60 110 102 31 52 44 107 41 68 22 47 80 59 45 82 101 76 77 89 29 53 115 99 98 35 88 18 83 33 95 91 48 109 36 111 17 100 49 Composite Poverty Indicator -,103 -,085 -,046 -,037 -,013 -,008 ,007 ,022 ,049 ,127 ,142 ,155 ,158 ,209 ,247 ,254 ,316 ,347 ,360 ,397 ,403 ,430 ,444 ,459 ,471 ,490 ,513 ,515 ,535 ,546 ,561 ,581 ,582 ,584 ,630 ,640 ,663 ,669 ,706 ,728 ,730 ,736 ,770 ,854 ,862 ,893 ,917 ,946 ,952 ,975 Total population 3454 2568 10921 5490 4445 10156 7941 7013 6643 13129 10733 12127 4589 16906 3981 6221 4538 6321 7213 5910 11537 4316 4001 8760 5980 8250 8111 13008 8633 8891 18144 9771 4072 22011 8180 30542 7232 10933 9834 8254 7019 18358 3223 11238 11962 7463 11267 9825 12354 7260 Total number of households 916 551 2046 1338 844 2085 213 1679 1720 2257 2310 2202 978 2771 787 1539 1239 1631 1401 1697 2100 990 937 1621 1400 2086 1182 2356 1900 1798 3659 2192 900 4002 1543 1809 1823 2094 1936 1547 2109 3229 688 2892 2069 1534 1893 1936 2088 1610 Region North Central Central Coast Southeast Southeast Northern Uplands Northern Uplands Central Coast Red River Delta Red River Delta Southeast Central Coast Mekong River Delta North Central Mekong River Delta Mekong River Delta Red River Delta North Central Red River Delta Mekong River Delta Red River Delta North Central Northern Uplands Red River Delta Central Highlands North Central Red River Delta Central Coast Mekong River Delta Central Coast Central Coast Southeast Red River Delta North Central Mekong River Delta Mekong River Delta Mekong River Delta Red River Delta Southeast Red River Delta Central Coast Red River Delta Southeast Mekong River Delta Red River Delta Mekong River Delta Red River Delta Mekong River Delta Red River Delta Mekong River Delta Red River Delta Appendix page 26 (101) Communes ordered according to decreasing multidimensional poverty 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 Code of the community 103 21 20 39 86 37 40 81 74 93 79 43 38 51 57 19 42 71 32 34 Composite Poverty Indicator 1,080 1,115 1,139 1,194 1,233 1,261 1,268 1,290 1,305 1,337 1,352 1,410 1,419 1,430 1,453 1,508 1,564 1,707 1,772 1,928 Total population 13700 7875 8089 5686 15489 6692 7324 16290 9753 12559 16848 12136 6756 10158 16824 13726 5225 13367 7800 9898 Total number of households 2556 1776 1825 1310 3011 1894 1995 2169 1923 2371 3623 3034 1640 2547 4487 3078 1326 2961 1540 2145 Region Mekong River Delta Red River Delta Red River Delta Red River Delta Southeast Red River Delta Red River Delta Central Highlands Central Coast Southeast Central Coast Red River Delta Red River Delta Red River Delta North Central Red River Delta Red River Delta Central Coast Red River Delta Red River Delta Appendix page 27 (102) Second Factorial Axis The North / South Poverty Types Graph Regions in the Poverty Map 1,5 R7 R6 1,0 R5 ,5 0,0 R4 R1 R2 DIM2 -,5 R3 -1,0 -1,0 -,8 -,6 -,4 -,2 ,0 ,2 ,4 ,6 ,8 DIM1 L.-M Asselin 02-11-04 Appendix page 28 (103) Second Factorial Axis The North / South Poverty Types Regions of Vietnam Graph C-Road passes by the Regions and Economy/Infras community C-Distance public tr 1,5 R7 1,0 ansportation R6 rosdNO C-post office C-A few R5 DIM2 ,5 pubt10k entNO 0,0 speakNO C-None postNO foodsNO dailyNO pubt11k+R1 -,5 R3 -1,0 -1,5 C-market postYES foodsYES dailyYES speakYES pubt3k entYES roadYES R4 C-loud speaker C-food shop C-large enterprise < 10 kms C-Most R2 C-Do hlds have elect ricity? -1,0 -,5 0,0 ,5 1,0 DIM1 L.-M Asselin 02-11-04 Appendix page 29 (104) Second Factorial Axis The North / South Poverty Types Graph Regions and Education 1,5 R7 R6 1,0primr80 VARNAME_ s<=35 primr90 R5 Regions of Vietnam ,5 C-Is there a lower s nosecs s35-70 secs 0,0 econdary school? R4 R1 r secondary school R2 -,5 DIM2 C-Enrol.rate at lowe prir100 s>70 R3 -1,0 -1,0 -,8 C-Primary enrolment rate -,6 -,4 -,2 ,0 ,2 ,4 ,6 ,8 DIM1 L.-M Asselin 02-11-04 Appendix page 30 (105) Second Factorial Axis The North / South Poverty Types Graph 4.1 Regions and Health Infrastructure 2,5 VARNAME_ other 2,0 1,5 Regions of Vietnam C-Pharmacy in commun R7 ity R6 1,0 C-Distance kms to ho R5 clinYes ,5 0,0 DIM2 d<=3k Pharm-Y home d>10k Pharm-N R1 -,5 -1,0 -1,5 spital C-Clinic in communit R4 clinNO hos,cli d3-10k R2 R3 y C-Where most of wome n give birth? -1,0 -,5 0,0 ,5 1,0 DIM1 L.-M Asselin 02-11-04 Appendix page 31 (106) Second Factorial Axis The North / South Poverty Types Graph 4.2 VARNAME_ Regions and Health Staff Regions of Vietnam 1,5 R7 C-Trained midwife in community R6 1,0 C-Traditional midwif R5 ,5 tradheY Doctor-Y tradmidY phcistY traimidY 0,0 R3 -1,0 -1,0 in community C-Pharmacist in comm traimidN tradheN -,5 C-Traditional healer R4 Doctor-N phcistN R1 DIM2 e in community tradmidN unity R2 C-Doctor in communit y -,5 0,0 ,5 1,0 DIM1 L.-M Asselin 02-11-04 Appendix page 32 (107) Second Factorial Axis The North / South Poverty Types Graph Regions and Agriculture 1,5 VARNAME_ R7 AgricN 1,0 Regions of Vietnam R6 C-Proportion of land R5 quality Land1=0 ,5 Land7=0 Land7>25 ExtN 0,0 quality R4 ExtY land7<25 Land1>25 Land1<25 AgricY R2 R1 -,5 DIM2 C-Proportion of land C-Is there an agric ext center in the co R3 -1,0 -1,5 C-Is there an agric coop in the communit -1,0 -,5 0,0 ,5 1,0 1,5 DIM1 L.-M Asselin 02-11-04 Appendix page 33 (108) Basic Questionnaire for the Composite Poverty Indicator DOMAIN = Economy and Infrastructure 10 11 12 13 14 15 16 17 18 VARNAME_ C-Do hlds have electricity? C-large enterprise < 10 kms C-food shop C-loud speaker C-market C-post office C-Distance public transportation C-Road passes by the community LEVEL C-None C-A few C-Most entYES entNO foodsYES foodsNO speakYES speakNO dailyNO dailyYES postYES postNO pubt3k pubt10k pubt11k+ roadYES rosdNO Value (0/1) , , , , , , , , , , , , , , , , , , Weight -5726 -1375 2818 2735 -2309 2784 -2124 2679 -3055 -2822 2475 2939 -1521 1798 -2044 -5394 689 -4152 DOMAIN = Education Basic Questionnaire for the Composite Poverty Indicator VARNAME_ C-Primary enrolment rate C-Enrol.rate at lower secondary school C-Is there a lower secondary school? LEVEL primr80 primr90 prir100 s<=35 s35-70 s>70 secs nosecs Value (0/1) , , , , , , , , L.-M Asselin 02-11-04 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Basic Questionnaire.spo Weight -4228 -838 1276 -3389 -60 1990 391 -2936 Appendix page 33 (109) Basic Questionnaire for the Composite Poverty Indicator DOMAIN = Health 10 11 12 13 14 15 16 17 18 19 20 VARNAME_ C-Where most of women give birth? C-Clinic in community C-Doctor in community C-Distance kms to hospital C-Pharmacist in community C-Pharmacy in community C-Traditional healer in community C-Traditional midwife in community C-Trained midwife in community LEVEL home hos,cli other clinYes clinNO Doctor-Y Doctor-N d<=3k d3-10k d>10k phcistY phcistN Pharm-Y Pharm-N tradheY tradheN tradmidY tradmidN traimidY traimidN Value (0/1) , , , , , , , , , , , , , , , , , , , , Weight -3868 1523 2777 1462 -647 3352 -2390 3593 40 -1967 2209 -2604 1913 -4637 972 -1732 -455 1210 206 -1079 DOMAIN = Agriculture 10 VARNAME_ C-Is there an agric coop in the communit C-Is there an agric ext center in the co C-Proportion of land quality C-Proportion of land quality LEVEL AgricY AgricN ExtY ExtN Land1=0 Land1<25 Land1>25 Land7=0 land7<25 Land7>25 Value (0/1) , , , , , , , , , , L.-M Asselin 02-11-04 D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\Basic Questionnaire.spo Weight 638 -1134 3771 -1310 -2602 1431 4090 643 463 -3585 Appendix page 34 (110) Appendix Multidimensional Inequality Indices (111) Output from STATA 7.0, package INEQUAL Graph 5.1 Lorenz curve Rural Vietnam Communes _perc _share cumulative proportion of CPIND .75 .5 .25 0 .25 .5 75 cumulative proportion of sample Lorenz curve Full extracts from the Log file are produced, so that the reader can see exactly which command has been used (112) Graph 5.2 Lorenz curve Southern Vietnam Communes _perc _share cumulative proportion of CPIND .75 .5 .25 0 .25 .5 75 cumulative proportion of sample Lorenz curve Graph 5.3 Lorenz curve Northern Vietnam Communes _perc _share cumulative proportion of CPIND .75 .5 .25 0 .25 .5 75 cumulative proportion of sample Lorenz curve (113) INEQUALITY INDICES, NO DEMOGRAPHIC WEIGHT ALL RURAL COMMUNES inequal CPIND inequality measures of CPIND -relative mean deviation 1531104 coefficient of variation 36701285 standard deviation of logs 48716412 Gini coefficient 20869541 Mehran measure 32021582 Piesch measure 1529352 Kakwani measure 04463721 Theil entropy measure 07444788 Theil mean log deviation measure 09322898 NORTHERN REGION inequal CPIND if REGION<3 inequality measures of CPIND -relative mean deviation 16452245 coefficient of variation 38179454 standard deviation of logs 47355409 Gini coefficient 21659881 Mehran measure 32953252 Piesch measure 16013194 Kakwani measure 04669201 Theil entropy measure 0776762 Theil mean log deviation measure 09241558 CENTRAL REGION inequal CPIND if REGION<6 & REGION>2 inequality measures of CPIND -relative mean deviation 14947352 coefficient of variation 38487863 standard deviation of logs 58960337 Gini coefficient 21165252 Mehran measure 32655163 Piesch measure 15420295 Kakwani measure 05011845 Theil entropy measure 084774 Theil mean log deviation measure 11960289 (114) SOUTHERN REGION inequal CPIND if REGION>5 inequality measures of CPIND -relative mean deviation 13862376 coefficient of variation 33132926 standard deviation of logs 3980379 Gini coefficient 18505806 Mehran measure 28955798 Piesch measure 1328081 Kakwani measure 03585963 Theil entropy measure 05854832 Theil mean log deviation measure 0676148 - lorenz CPIND (115) INEQUALITY INDICES, WEIGHT: # HOUSEHOLDS ALL RURAL COMMUNES inequal CPIND [fw= S1Q04] inequality measures of CPIND -relative mean deviation 13509426 coefficient of variation 3252411 standard deviation of logs 4123663 Gini coefficient 18479409 Mehran measure 2846507 Piesch measure 13486576 Kakwani measure 03577681 Theil entropy measure 05883481 Theil mean log deviation measure 07077489 NORTHERN REGION inequal CPIND if REGION<3 [fw= S1Q04] inequality measures of CPIND -relative mean deviation 12839965 coefficient of variation 30433673 standard deviation of logs 36925286 Gini coefficient 1739491 Mehran measure 26587567 Piesch measure 12798581 Kakwani measure 03095998 Theil entropy measure 05071415 Theil mean log deviation measure 05888592 CENTRAL REGION inequal CPIND if REGION<6 & REGION>2 [fw= S1Q04] inequality measures of CPIND -relative mean deviation 12134593 coefficient of variation 306475 standard deviation of logs 44294788 Gini coefficient 17553689 Mehran measure 26292676 Piesch measure 13184194 Kakwani measure 03267932 Theil entropy measure 05444637 Theil mean log deviation measure 07250243 (116) SOUTHERN REGION inequal CPIND if REGION>5 [fw= S1Q04] inequality measures of CPIND -relative mean deviation 1454273 coefficient of variation 34110567 standard deviation of logs 41512565 Gini coefficient 19220841 Mehran measure 29114382 Piesch measure 1427407 Kakwani measure 0394341 Theil entropy measure 06434994 Theil mean log deviation measure 07512335 (117) INEQUALITY INDICES, WEIGHT: # INDIVIDUALS (POPULATION) ALL RURAL COMMUNES inequal CPIND [fw= S1Q01] inequality measures of CPIND -relative mean deviation 13857508 coefficient of variation 33255324 standard deviation of logs 42131143 Gini coefficient 18884355 Mehran measure 29061383 Piesch measure 1379584 Kakwani measure 03737538 Theil entropy measure 06148653 Theil mean log deviation measure 07397301 NORTHERN REGION inequal CPIND if REGION<3 [fw= S1Q01] inequality measures of CPIND -relative mean deviation 13995032 coefficient of variation 32477286 standard deviation of logs 39083004 Gini coefficient 18633129 Mehran measure 2820297 Piesch measure 13848208 Kakwani measure 03484566 Theil entropy measure 05730863 Theil mean log deviation measure 0662675 CENTRAL REGION inequal CPIND if REGION<6 & REGION>2 [fw= S1Q01] inequality measures of CPIND -relative mean deviation 12374636 coefficient of variation 31127703 standard deviation of logs 44930041 Gini coefficient 17747784 Mehran measure 26651732 Piesch measure 13295809 Kakwani measure 03367076 Theil entropy measure 05612927 Theil mean log deviation measure 07471267 (118) SOUTHERN REGION inequal CPIND if REGION>5 [fw= S1Q01] inequality measures of CPIND -relative mean deviation 14543535 coefficient of variation 33982559 standard deviation of logs 41830112 Gini coefficient 19042068 Mehran measure 29040327 Piesch measure 14042938 Kakwani measure 03954641 Theil entropy measure 06438089 Theil mean log deviation measure 07576537 (119) Appendix Multidimensional Poverty Indices (120) Output from STATA 7.0, package POVDECO POVERTY INDICES (FGT), NO DEMOGRAPHIC WEIGHT Poverty line 3176 povdeco CPIND , by ( BIGREG) pl(3176) Total number of observations = 120 Weighted total no of observations = 120 Number of observations poor = 72 Weighted no of obs poor = 72 Mean of CPIND amongst the poor = 2089.187 Mean of poverty gaps (poverty line - CPIND) amongst the poor = 1086.813 Foster-Greer-Thorbecke poverty indices, FGT(a) -All obs | a=0 a=1 a=2 + | 0.60000 0.20532 0.10072 -FGT(0): headcount ratio (proportion poor) FGT(1): average normalised poverty gap FGT(2): average squared normalised poverty gap Decompositions by subgroup -Summary statistics for subgroup k = 1, ,K -Regions | North | Central | South | Pop share Mean Mean|poor Mean gap|poor + NORTH | 0.42500 2817.01880 2040.16785 1135.83215 CENTRAL | 0.28333 2649.17651 2103.97119 1072.02881 SOUTH | 0.29167 2707.82544 2141.39209 1034.60779 -Subgroup FGT index estimates, FGT(a) -Regions | North | Central | South | a=0 a=1 a=2 + NORTH | 0.56863 0.20336 0.09932 CENTRAL | 0.64706 0.21841 0.11275 SOUTH | 0.60000 0.19545 0.09107 Full extracts from the Log file are produced, so that the reader can see exactly which command has been used (121) Subgroup poverty 'share', S_k = v_k.FGT_k(a)/FGT(a) -Regions | North | Central | South | a=0 a=1 a=2 + NORTH | 0.40278 0.42094 0.41908 CENTRAL | 0.30556 0.30140 0.31719 SOUTH | 0.29167 0.27766 0.26373 -Subgroup poverty 'risk' = FGT_k(a)/FGT(a) = S_k/v_k -Regions | North | Central | South | a=0 a=1 a=2 + NORTH | 0.94771 0.99046 0.98608 CENTRAL | 1.07843 1.06376 1.11949 SOUTH | 1.00000 0.95196 0.90422 (122) POVERTY INDICES (FGT), NO DEMOGRAPHIC WEIGHT Poverty line 2282 povdeco CPIND , by ( BIGREG) pl(2282) Total number of observations = 120 Weighted total no of observations = 120 Number of observations poor = 41 Weighted no of obs poor = 41 Mean of CPIND amongst the poor = 1580.444 Mean of poverty gaps (poverty line - CPIND) amongst the poor = 701.556 Foster-Greer-Thorbecke poverty indices, FGT(a) -All obs | a=0 a=1 a=2 + | 0.34167 0.10504 0.04864 -FGT(0): headcount ratio (proportion poor) FGT(1): average normalised poverty gap FGT(2): average squared normalised poverty gap Decompositions by subgroup -Summary statistics for subgroup k = 1, ,K -Regions | North | Central | South | Pop share Mean Mean|poor Mean gap|poor + NORTH | 0.42500 2817.01880 1626.35779 655.64227 CENTRAL | 0.28333 2649.17651 1562.36780 719.63208 SOUTH | 0.29167 2707.82544 1514.89978 767.10010 -Subgroup FGT index estimates, FGT(a) -Regions | North | Central | South | a=0 a=1 a=2 + NORTH | 0.37255 0.10704 0.04421 CENTRAL | 0.35294 0.11130 0.06411 SOUTH | 0.28571 0.09604 0.04007 -Subgroup poverty 'share', S_k = v_k.FGT_k(a)/FGT(a) -Regions | North | (123) Central | South | a=0 a=1 a=2 + NORTH | 0.46341 0.43309 0.38631 CENTRAL | 0.29268 0.30022 0.37343 SOUTH | 0.24390 0.26669 0.24026 -Subgroup poverty 'risk' = FGT_k(a)/FGT(a) = S_k/v_k -Regions | North | Central | South | a=0 a=1 a=2 + NORTH | 1.09039 1.01903 0.90896 CENTRAL | 1.03300 1.05961 1.31800 SOUTH | 0.83624 0.91436 0.82375 (124) POVERTY INDICES (FGT), WEIGHT: # INDIVIDUALS (POPULATION) Poverty line 3318 povdeco CPIND [fw= S1Q01] , by ( BIGREG) pl(3318) Total number of observations = 120 Weighted total no of observations = 1043520 Number of observations poor = 82 Weighted no of obs poor = 626298 Mean of CPIND amongst the poor = 2305.867 Mean of poverty gaps (poverty line - CPIND) amongst the poor = 1012.133 Foster-Greer-Thorbecke poverty indices, FGT(a) -All obs | a=0 a=1 a=2 + | 0.60018 0.18308 0.08632 -FGT(0): headcount ratio (proportion poor) FGT(1): average normalised poverty gap FGT(2): average squared normalised poverty gap Decompositions by subgroup -Summary statistics for subgroup k = 1, ,K -Regions | North | Central | South | Pop share Mean Mean|poor Mean gap|poor + NORTH | 0.33711 3050.76440 2292.89453 1025.10547 CENTRAL | 0.23535 3059.55420 2531.40796 786.59198 SOUTH | 0.42754 2717.91797 2183.73291 1134.26697 -Subgroup FGT index estimates, FGT(a) -Regions | North | Central | South | a=0 a=1 a=2 + NORTH | 0.54165 0.16735 0.07395 CENTRAL | 0.65224 0.15463 0.06877 SOUTH | 0.61766 0.21115 0.10575 -Subgroup poverty 'share', S_k = v_k.FGT_k(a)/FGT(a) -Regions | (125) North | Central | South | a=0 a=1 a=2 + NORTH | 0.30424 0.30813 0.28877 CENTRAL | 0.25577 0.19877 0.18749 SOUTH | 0.44000 0.49309 0.52374 -Subgroup poverty 'risk' = FGT_k(a)/FGT(a) = S_k/v_k -Regions | North | Central | South | a=0 a=1 a=2 + NORTH | 0.90249 0.91406 0.85663 CENTRAL | 1.08674 0.84458 0.79664 SOUTH | 1.02914 1.15332 1.22499 (126) POVERTY INDICES (FGT), WEIGHT: # INDIVIDUALS (POPULATION) Poverty line 2282 povdeco CPIND [fw= S1Q01] , by ( BIGREG) pl(2282) Total number of observations = 120 Weighted total no of observations = 1043520 Number of observations poor = 41 Weighted no of obs poor = 280269 Mean of CPIND amongst the poor = 1597.013 Mean of poverty gaps (poverty line - CPIND) amongst the poor = 684.987 Foster-Greer-Thorbecke poverty indices, FGT(a) -All obs | a=0 a=1 a=2 + | 0.26858 0.08062 0.03513 -FGT(0): headcount ratio (proportion poor) FGT(1): average normalised poverty gap FGT(2): average squared normalised poverty gap Decompositions by subgroup -Summary statistics for subgroup k = 1, ,K -Regions | North | Central | South | Pop share Mean Mean|poor Mean gap|poor + NORTH | 0.33711 3050.76440 1790.05237 491.94754 CENTRAL | 0.23535 3059.55420 1647.62097 634.37909 SOUTH | 0.42754 2717.91797 1406.98962 875.01025 -Subgroup FGT index estimates, FGT(a) -Regions | North | Central | South | a=0 a=1 a=2 + NORTH | 0.30275 0.06527 0.02381 CENTRAL | 0.21085 0.05861 0.03016 SOUTH | 0.27342 0.10484 0.04680 -Subgroup poverty 'share', S_k = v_k.FGT_k(a)/FGT(a) -Regions | (127) North | Central | South | a=0 a=1 a=2 + NORTH | 0.38000 0.27291 0.22847 CENTRAL | 0.18476 0.17111 0.20206 SOUTH | 0.43524 0.55598 0.56947 -Subgroup poverty 'risk' = FGT_k(a)/FGT(a) = S_k/v_k -Regions | North | Central | South | a=0 a=1 a=2 + NORTH | 1.12724 0.80956 0.67773 CENTRAL | 0.78505 0.72705 0.85854 SOUTH | 1.01800 1.30041 1.33197 (128) POVERTY INDICES (FGT), WEIGHT: # HOUSEHOLDS Poverty line 3321 povdeco CPIND [fw= S1Q04] , by ( BIGREG) pl(3321) Total number of observations = 120 Weighted total no of observations = 204088 Number of observations poor = 84 Weighted no of obs poor = 126077 Mean of CPIND amongst the poor = 2384.168 Mean of poverty gaps (poverty line - CPIND) amongst the poor = 936.832 Foster-Greer-Thorbecke poverty indices, FGT(a) -All obs | a=0 a=1 a=2 + | 0.61776 0.17427 0.08044 -FGT(0): headcount ratio (proportion poor) FGT(1): average normalised poverty gap FGT(2): average squared normalised poverty gap Decompositions by subgroup -Summary statistics for subgroup k = 1, ,K -Regions | North | Central | South | Pop share Mean Mean|poor Mean gap|poor + NORTH | 0.38214 3133.01929 2366.46851 954.53156 CENTRAL | 0.23515 3106.21313 2571.24146 749.75854 SOUTH | 0.38271 2700.18066 2290.23730 1030.76282 -Subgroup FGT index estimates, FGT(a) -Regions | North | Central | South | a=0 a=1 a=2 + NORTH | 0.51341 0.14756 0.06322 CENTRAL | 0.65181 0.14715 0.06487 SOUTH | 0.70103 0.21759 0.10720 -Subgroup poverty 'share', S_k = v_k.FGT_k(a)/FGT(a) -Regions | (129) North | Central | South | a=0 a=1 a=2 + NORTH | 0.31759 0.32359 0.30035 CENTRAL | 0.24811 0.19857 0.18963 SOUTH | 0.43430 0.47784 0.51002 -Subgroup poverty 'risk' = FGT_k(a)/FGT(a) = S_k/v_k -Regions | North | Central | South | a=0 a=1 a=2 + NORTH | 0.83108 0.84678 0.78595 CENTRAL | 1.05512 0.84443 0.80643 SOUTH | 1.13480 1.24858 1.33267 10 (130) POVERTY INDICES (FGT), WEIGHT: # HOUSEHOLDS Poverty line 2282 povdeco CPIND [fw= S1Q04] , by ( BIGREG) pl(2282) Total number of observations = 120 Weighted total no of observations = 204088 Number of observations poor = 41 Weighted no of obs poor = 51575 Mean of CPIND amongst the poor = 1617.263 Mean of poverty gaps (poverty line - CPIND) amongst the poor = 664.737 Foster-Greer-Thorbecke poverty indices, FGT(a) -All obs | a=0 a=1 a=2 + | 0.25271 0.07361 0.03175 -FGT(0): headcount ratio (proportion poor) FGT(1): average normalised poverty gap FGT(2): average squared normalised poverty gap Decompositions by subgroup -Summary statistics for subgroup k = 1, ,K -Regions | North | Central | South | Pop share Mean Mean|poor Mean gap|poor + NORTH | 0.38214 3133.01929 1806.16345 475.83661 CENTRAL | 0.23515 3106.21313 1658.12451 623.87555 SOUTH | 0.38271 2700.18066 1421.48279 860.51727 -Subgroup FGT index estimates, FGT(a) -Regions | North | Central | South | a=0 a=1 a=2 + NORTH | 0.26076 0.05437 0.01945 CENTRAL | 0.20025 0.05475 0.02814 SOUTH | 0.27691 0.10442 0.04624 -Subgroup poverty 'share', S_k = v_k.FGT_k(a)/FGT(a) -Regions | 11 (131) North | Central | South | a=0 a=1 a=2 + NORTH | 0.39432 0.28226 0.23411 CENTRAL | 0.18633 0.17488 0.20845 SOUTH | 0.41935 0.54286 0.55744 -Subgroup poverty 'risk' = FGT_k(a)/FGT(a) = S_k/v_k -Regions | North | Central | South | a=0 a=1 a=2 + NORTH | 1.03186 0.73863 0.61262 CENTRAL | 0.79240 0.74369 0.88648 SOUTH | 1.09575 1.41847 1.45656 - log close log: D:\Bureau de Québec\Projets\MIMAP-Vietnam-3\IneqPov1.smcl log type: smcl closed on: 26 Apr 2002, 16:18:00 - 12 (132)