{"type":"survey","doc_desc":{"title":"MLI_2010_SDHS_v01_M","idno":"DDI_MLI_2010_SDHS_v01_M_WB","producers":[{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Metadata preparation  "}],"version_statement":{"version":"Version 01 (August 2017). Metadata is excerpted from \"Enqu\u00eate sur la pr\u00e9valence de l\u2019An\u00e9mie et de la Parasit\u00e9mie palustre chez les enfants (EA&P) au Mali 2010\" Report."}},"study_desc":{"title_statement":{"idno":"MLI_2010_SDHS_v01_M","title":"Enqu\u00eate sur la Pr\u00e9valence de l\u2019An\u00e9mie et de la Parasit\u00e9mie Palustre chez les Enfants 2010","alt_title":"SDHS 2010 \/ EA&PM 2010"},"authoring_entity":[{"name":"Programme National de Lutte contre le Paludisme (PNLP)","affiliation":"Minist\u00e8re de la Sant\u00e9, R\u00e9publique du Mali"}],"production_statement":{"producers":[{"name":"Malaria Research and Training Center","affiliation":"","role":"Collaborated in the implementation of the study"},{"name":"ICF Macro","affiliation":"","role":"Assistance technique"}],"funding_agencies":[{"name":"R\u00e9publique du Mali","abbreviation":"GovMLI","role":"Funded the study"},{"name":"United States Agency for International Development","abbreviation":"USAID","role":"Funded the study"},{"name":"President\u2019s Malaria Initiative","abbreviation":"PMI","role":"Funded the study"}]},"distribution_statement":{"contact":[{"name":"Information about The DHS Program","affiliation":"The DHS Program","email":"reports@DHSprogram.com","uri":"http:\/\/www.DHSprogram.com"},{"name":"General Inquiries","affiliation":"The DHS Program","email":"info@dhsprogram.com","uri":"http:\/\/www.DHSprogram.com"},{"name":"Data and Data Related Resources","affiliation":"The DHS Program","email":"archive@dhsprogram.com","uri":"http:\/\/www.DHSprogram.com"}]},"series_statement":{"series_name":"Demographic and Health Survey, Special [hh\/dhs-sp]","series_info":"Au cours de cette premi\u00e8re enqu\u00eate de l\u2019an\u00e9mie et de la parasit\u00e9mie du paludisme (EA&P) au Mali, des donn\u00e9es concernant l\u2019utilisation des moyens de pr\u00e9vention contre le paludisme et le traitement en cas de maladie ont \u00e9t\u00e9 collect\u00e9es."},"study_info":{"abstract":"Ce plan vise \u00e0 am\u00e9liorer les performances du Programme National de Lutte contre le Paludisme (PNLP) en mati\u00e8re de suivi, d\u2019\u00e9valuation et de mise en oeuvre des activit\u00e9s de lutte contre le paludisme.\n\nLe Programme National de Lutte Contre le Paludisme s\u2019est fix\u00e9 les objectifs suivants :\na. Objectif G\u00e9n\u00e9ral\nR\u00e9duire la morbidit\u00e9 et la mortalit\u00e9 dues au paludisme dans l\u2019ensemble du pays.\nb. Objectifs Sp\u00e9cifiques\n1. Renforcer les capacit\u00e9s de planification, de mise en oeuvre et de suivi et \u00e9valuation des activit\u00e9s de lutte antipaludique \u00e0 tous les niveaux ;\n2. Am\u00e9liorer la qualit\u00e9 de la prise en charge du paludisme au niveau de la communaut\u00e9 en utilisant le m\u00e9dicament le plus efficace disponible ;\n3. Renforcer les mesures de pr\u00e9vention du paludisme, par :\n\u2022 la promotion de l\u2019utilisation des mesures de protection personnelle parmi la population \u00e0 risque (enfants de moins de 5 ans et femmes enceintes) ; et\n\u2022 l\u2019utilisation des mesures de lutte antivectorielle accessibles et vari\u00e9es, plus particuli\u00e8rement l\u2019aspersion intra domiciliaire d\u2019insecticides (Bonneville et al., 2007) ;\n4. Renforcer la lutte contre le paludisme chez la femme enceinte par la prise en charge effective des cas, la pr\u00e9vention par le traitement pr\u00e9ventif intermittent \u00e0 la Sulfadoxine-Pyrim\u00e9thamine (SP) ;\n5. Renforcer la lutte contre les \u00e9pid\u00e9mies de paludisme par la d\u00e9tection pr\u00e9coce et la r\u00e9ponse appropri\u00e9e et rapide ;\n6. Renforcer le syst\u00e8me de suivi et d\u2019\u00e9valuation incluant la recherche op\u00e9rationnelle ;\n7. D\u00e9velopper et renforcer la coordination nationale et le partenariat ;\n8. D\u00e9velopper les activit\u00e9s de mobilisation sociale aupr\u00e8s de tous les acteurs de la lutte antipaludique.","coll_dates":[{"start":"2010-08","end":"2010-10","cycle":""}],"nation":[{"name":"Mali","abbreviation":"MLI"}],"geog_coverage":"National coverage","analysis_unit":"- M\u00e9nage\n- Individuel\n- Enfants de 6-59 mois","data_kind":"Sample survey data [ssd]","notes":"La port\u00e9e de Enqu\u00eate sur la pr\u00e9valence de l\u2019An\u00e9mie et de la Parasit\u00e9mie palustre chez les enfants au Mali 2010 comprend:\n\nQuestionnaire m\u00e9nage\n\u2022 Identification\n\u2022 Tableau m\u00e9nage\n\u2022 Caract\u00e9ristiques du m\u00e9nage\n\u2022 Fi\u00e8vre chez les enfants 6-59 mois du m\u00e9nage\n\u2022 Mesure du niveau d'h\u00e9moglobine et du test de paludisme chez les enfants de 6-59 mois du m\u00e9nage"},"method":{"data_collection":{"data_collectors":[{"name":"Information Statistique","abbreviation":"INFO-STAT","affiliation":""}],"sampling_procedure":"L'\u00e9chantillon de l'EA&P Mali ciblait tous les enfants \u00e2g\u00e9s de 6-59 mois vivant dans 1500 m\u00e9nages. Le RGPH de 2009 a servi de base de sondage pour s\u00e9lectionner initialement 100 grappes, en raison de 15 m\u00e9nages par grappe. Pour compenser les non r\u00e9ponse, la taille de l'\u00e9chantillon a \u00e9t\u00e9 augment\u00e9e de 10 %, ce qui a finalement fourni une taille d'\u00e9chantillon de 110 grappes. Deux domaines d'\u00e9tudes ont \u00e9t\u00e9 identifi\u00e9s : urbain et rural. L'\u00e9chantillon est stratifi\u00e9, pond\u00e9r\u00e9 et repr\u00e9sentatif au niveau national et au niveau urbain et rural.\n\u2022 Au premier degr\u00e9, 110 grappes, constituant les Unit\u00e9s Primaires de Sondage (UPS), ont \u00e9t\u00e9 tir\u00e9es de fa\u00e7on syst\u00e9matique \u00e0 l'int\u00e9rieur de chacune des 2 strates, urbain et rural, avec une probabilit\u00e9 proportionnelle \u00e0 la taille de la SE, \u00e0 savoir le nombre de m\u00e9nages dans la SE.\n\u2022 Au deuxi\u00e8me degr\u00e9, un \u00e9chantillon 15 m\u00e9nages a \u00e9t\u00e9 s\u00e9lectionn\u00e9 dans chaque grappe \u00e0 partir de la liste de m\u00e9nages \u00e9tablie lors de l'op\u00e9ration de d\u00e9nombrement de chacune des 110 grappes s\u00e9lectionn\u00e9es.\n\u2022 Les 110 grappes s\u00e9lectionn\u00e9es dans l'\u00e9chantillon ont pu \u00eatre enqu\u00eat\u00e9es \u00e0 l'exception d'une grappe dans la r\u00e9gion de Kidal.","coll_mode":"Face-to-face [f2f]","research_instrument":"Ce questionnaire a \u00e9t\u00e9 d\u00e9velopp\u00e9 \u00e0 partir des questionnaires de base du programme Demographic and Health Surveys (DHS) et du programme Malaria Indicator Surveys (MIS) (ORC Macro. 2005 ; Roll Back Malaria, 2005 ; WHO, 2005), pr\u00e9alablement adapt\u00e9s au contexte du Mali et en tenant compte des objectifs de l'enqu\u00eate. Par ailleurs, pendant la formation, le questionnaire a \u00e9t\u00e9 traduit en Bamanan, Sonra\u00ef et Peulh de mani\u00e8re qu'au cours de l'enqu\u00eate, les questions soient pos\u00e9es le plus fid\u00e8lement possible par les enqu\u00eatrices\/enqu\u00eateurs.","coll_situation":"La collecte des donn\u00e9es de l\u2019EA&P Mali a \u00e9t\u00e9 r\u00e9alis\u00e9e par six \u00e9quipes. Les travaux de terrain se sont d\u00e9roul\u00e9s en trois \u00e9tapes principales. Le pr\u00e9-test a constitu\u00e9 la premi\u00e8re \u00e9tape (17-18 ao\u00fbt 2010). Le d\u00e9nombrement des m\u00e9nages des zones \u00e9chantillonn\u00e9es s\u2019est d\u00e9roul\u00e9 en m\u00eame temps que la collecte de l\u2019enqu\u00eate principale par les \u00e9quipes d\u2019enqu\u00eates (25 ao\u00fbt au 27 octobre 2010). Ainsi, les op\u00e9rations de cartographie et de d\u00e9nombrement des zones s\u00e9lectionn\u00e9es \u00e9taient assur\u00e9es par les six \u00e9quipes de collecte de l\u2019enqu\u00eate principale.","cleaning_operations":"La saisie des donn\u00e9es sur micro-ordinateur a d\u00e9but\u00e9 deux semaines apr\u00e8s le d\u00e9marrage de l'enqu\u00eate sur le terrain, en utilisant le logiciel CSPro, d\u00e9velopp\u00e9 par le programme par le projet MEASURE DHS de l\u2019USAID et le Bureau du Recensement des \u00c9tats-Unis. Deux agents de bureau \u00e9taient charg\u00e9s de la v\u00e9rification des questionnaires avant de les transmettre \u00e0 la saisie. Cette saisie a \u00e9t\u00e9 r\u00e9alis\u00e9e par cinq op\u00e9rateurs de saisie, de septembre \u00e0 novembre 2010, sous la supervision du gestionnaire de base des donn\u00e9es d\u2019INFO-STAT. Tous les questionnaires ont fait l'objet d'une double saisie pour \u00e9liminer du fichier le maximum d'erreurs de saisie. Par ailleurs, un programme de contr\u00f4le de qualit\u00e9 a permis de d\u00e9tecter, pour chaque \u00e9quipe et m\u00eame, le cas \u00e9ch\u00e9ant, pour chaque enqu\u00eatrice\/enqu\u00eateur, certaines des principales erreurs de collecte. Ces informations ont \u00e9t\u00e9 imm\u00e9diatement communiqu\u00e9es aux \u00e9quipes de terrain lors des missions de supervision, cela afin d'am\u00e9liorer la qualit\u00e9 des donn\u00e9es.\n\nApr\u00e8s la saisie, les donn\u00e9es ont \u00e9t\u00e9 \u00e9dit\u00e9es en vue de v\u00e9rifier la coh\u00e9rence interne des r\u00e9ponses. Ce travail a \u00e9t\u00e9 effectu\u00e9 par une \u00e9quipe compos\u00e9e de deux agents d\u2019\u00e9dition, qui ont \u00e9t\u00e9 s\u00e9lectionn\u00e9s pour cette t\u00e2che sur la base de leurs r\u00e9sultats obtenus au cours de leur travail lors des enqu\u00eates pr\u00e9c\u00e9dentes. La v\u00e9rification finale a \u00e9t\u00e9 r\u00e9alis\u00e9e par le responsable d\u2019INFO-STAT avec l\u2019assistance de l\u2019informaticien d\u2019ICF Macro, utilisant une technique \u00e9prouv\u00e9e au cours de dizaines d'enqu\u00eates similaires."},"analysis_info":{"response_rate":"Au total, 1631 m\u00e9nages ont \u00e9t\u00e9 s\u00e9lectionn\u00e9s et, parmi eux, 1621 m\u00e9nages ont \u00e9t\u00e9 identifi\u00e9s et \u00e9taient occup\u00e9s au moment de l'enqu\u00eate. Parmi ces 1621 m\u00e9nages, 1617 ont pu \u00eatre enqu\u00eat\u00e9s avec succ\u00e8s, soit un taux de r\u00e9ponse de 99,8 %.","sampling_error_estimates":"Les estimations obtenues \u00e0 partir d'une enqu\u00eate par sondage sont sujettes \u00e0 deux types d'erreurs: les erreurs de mesure et les erreurs de sondage. Les erreurs de mesure sont celles associ\u00e9es \u00e0 la mise en oeuvre de la collecte et de l'exploitation des donn\u00e9es telles que l'omission de m\u00e9nages s\u00e9lectionn\u00e9s, la mauvaise interpr\u00e9tation des questions de la part de l'enqu\u00eatrice ou de l'enqu\u00eat\u00e9e, ou les erreurs de saisie des donn\u00e9es. Bien que tout le possible ait \u00e9t\u00e9 fait pour minimiser ce type d'erreur pendant la mise en oeuvre de l\u2019EA&P Mali 2010, il est difficile d'\u00e9viter et d'\u00e9valuer toutes les erreurs de mesure.\n\nPar contre, les erreurs de sondage peuvent \u00eatre \u00e9valu\u00e9es statistiquement. L\u2019\u00e9chantillon s\u00e9lectionn\u00e9 pour l\u2019EA&P Mali 2010 n\u2019est qu\u2019un parmi un grand nombre d\u2019\u00e9chantillons de m\u00eame taille qui peuvent \u00eatre s\u00e9lectionn\u00e9s dans la m\u00eame population avec le m\u00eame plan de sondage. Chacun de ces \u00e9chantillons peut produire des r\u00e9sultats peu diff\u00e9rents de ceux obtenus avec l\u2019\u00e9chantillon actuellement choisi. L\u2019erreur de sondage est une mesure de cette variabilit\u00e9 entre tous les \u00e9chantillons possibles. Bien que cette variabilit\u00e9 ne peut pas \u00eatre mesur\u00e9e exactement, elle peut \u00eatre estim\u00e9e \u00e0 partir des donn\u00e9es collect\u00e9es.\n\nL'erreur-type (ET) est un indice particuli\u00e8rement utile pour mesurer l'erreur de sondage d'un param\u00e8tre (moyenne, proportion ou taux), elle est la racine carr\u00e9e de la variance du param\u00e8tre. L\u2019erreurtype peut \u00eatre utilis\u00e9e pour calculer des intervalles de confiance dans les quels nous consid\u00e9rons se trouver la vraie valeur du param\u00e8tre avec un certain niveau de confiance. Par exemple, la vraie valeur d\u2019un param\u00e8tre se trouve dans les limites de sa valeur estim\u00e9e plus ou moins deux fois de son erreur-type, avec un niveau de confiance de 95 %.\n\nSi l'\u00e9chantillon avait \u00e9t\u00e9 tir\u00e9 d'apr\u00e8s un plan de sondage al\u00e9atoire simple, il aurait \u00e9t\u00e9 possible d'utiliser des formules simples pour calculer les erreurs de sondage. Cependant, l'\u00e9chantillon de l\u2019EA&P Mali 2010 \u00e9tant un \u00e9chantillon stratifi\u00e9 et tir\u00e9 \u00e0 deux degr\u00e9s, des formules plus complexes ont \u00e9t\u00e9 utilis\u00e9es. Un programme de Macro en logiciel SAS a \u00e9t\u00e9 utilis\u00e9 pour calculer les erreurs de sondage suivant la m\u00e9thodologie statistique appropri\u00e9e. Ce module utilise la m\u00e9thode de lin\u00e9arisation (Taylor) pour des estimations telles que les moyennes ou proportions.\n\nRemarque: pour plus d'informations sur le calcul d'erreurs de sondage, voir l'annexe B dans le rapport intitul\u00e9 \u00abEnqu\u00eate sur la Pr\u00e9valence de l\u2019An\u00e9mie et de la Parasit\u00e9mie Palustre chez les Enfants 2010, Rapport Final\u00bb."}},"data_access":{"dataset_use":{"contact":[{"name":"The DHS Program","affiliation":"","email":"archive@dhsprogram.com","uri":"http:\/\/www.DHSprogram.com"}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download","conditions":"Request Dataset Access\nThe following applies to DHS, MIS, AIS and SPA survey datasets (Surveys, GPS, and HIV). \nTo request dataset access, you must first be a registered user of the website. You must then create a new research project request. The request must include a project title and a description of the analysis you propose to perform with the data. \n\nThe requested data should only be used for the purpose of the research or study. To request the same or different data for another purpose, a new research project request should be submitted. The DHS Program will normally review all data requests within 24 hours (Monday - Friday) and provide notification if access has been granted or additional project information is needed before access can be granted. \n\nDATASET ACCESS APPROVAL PROCESS\nAccess to DHS, MIS, AIS and SPA survey datasets (Surveys, HIV, and GPS) is requested and granted by country. This means that when approved, full access is granted to all unrestricted survey datasets for that country. Access to HIV and GIS datasets requires an online acknowledgment of the conditions of use.\n\nRequired Information\nA dataset request must include contact information, a research project title, and a description of the analysis you propose to perform with the data.\n\nRestricted Datasets\nA few datasets are restricted and these are noted. Access to restricted datasets is requested online as with other datasets. An additional consent form is required for some datasets, and the form will be emailed to you upon authorization of your account. For other restricted surveys, permission must be granted by the appropriate implementing organizations, before The DHS Program can grant access. You will be emailed the information for contacting the implementing organizations. A few restricted surveys are authorized directly within The DHS Program, upon receipt of an email request. \n\nWhen The DHS Program receives authorization from the appropriate organizations, the user will be contacted, and the datasets made available by secure FTP. \n\nGPS\/HIV Datasets\/Other Biomarkers\nBecause of the sensitive nature of GPS, HIV and other biomarkers datasets, permission to access these datasets requires that you accept a Terms of Use Statement. After selecting GPS\/HIV\/Other Biomarkers datasets, the user is presented with a consent form which should be signed electronically by entering the password for the user's account.\n\nDataset Terms of Use\nOnce downloaded, the datasets must not be passed on to other researchers without the written consent of The DHS Program. All reports and publications based on the requested data must be sent to The DHS Program Data Archive in a Portable Document Format (pdf) or a printed hard copy. \n\nDownload Datasets\nDatasets are made available for download by survey. You will be presented with a list of surveys for which you have been granted dataset access. After selecting a survey, a list of all available datasets for that survey will be displayed, including all survey, GPS, and HIV data files. However, only data types for which you have been granted access will be accessible. To download, simply click on the files that you wish to download and a \"File Download\" prompt will guide you through the remaining steps.","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"schematype":"survey","data_files":[{"file_id":"F1","file_name":"RECH0","description":"HOUSEHOLD\n- Household's basic data","case_count":1631,"var_count":42,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null},{"file_id":"F2","file_name":"RECH1","description":"HOUSEHOLD\n- Household schedule","case_count":9835,"var_count":44,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null},{"file_id":"F3","file_name":"RECH2","description":"HOUSEHOLD\n- Household characteristics","case_count":1617,"var_count":87,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null},{"file_id":"F4","file_name":"RECH6","description":"HOUSEHOLD\n- Children Height\/Weight\/Hemoglobin","case_count":2059,"var_count":42,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null},{"file_id":"F5","file_name":"RECHM2","description":"HOUSEHOLD\n- Malaria - candidate variables to become standard","case_count":2059,"var_count":78,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null},{"file_id":"F6","file_name":"RECHMH","description":"HOUSEHOLD\n- Malaria variables for household members","case_count":9835,"var_count":12,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null},{"file_id":"F7","file_name":"RECHML","description":"HOUSEHOLD\n- Malaria module for nets","case_count":3847,"var_count":21,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null}],"variables":[{"file_id":"F1","vid":"V1","name":"hhid","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"1","loc_end_pos":"5","loc_width":"5","loc_rec_seg_no":"1","labl":"Case Identification","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":null,"var_catgry":[],"var_codinstr":null,"var_concept":[],"var_format":{"type":"character","schema":"other","category":null,"name":null},"var_notes":"Case identification uniquely identifies each household. In most surveys this is constructed by concatenating the cluster or sample point number and the household number, but in some surveys this may be the questionnaire number taken from the front page of the questionnaire.","var_val_range":{"min":null,"max":null},"fid":"F1"},{"file_id":"F1","vid":"V2","name":"hv000","var_intrvl":"discrete","var_dcml":null,"var_wgt":null,"var_is_wgt":null,"loc_start_pos":"6","loc_end_pos":"8","loc_width":"3","loc_rec_seg_no":"1","labl":"Country code and phase","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":null,"var_catgry":[],"var_codinstr":null,"var_concept":[],"var_format":{"type":"character","schema":"other","category":null,"name":null},"var_notes":"Alphabetic country code to identify the survey from which the data were collected. The code\r\nis based on an international standard code. This variable is 3 characters in length, with the\r\nthird character indicating the format of the recode file used for this survey. For all surveys in MEASURE DHS following this standard, this code will be 5. For example: DR5 is the Dominican Republic, HT5 is Haiti and KH5 is Cambodia.","var_val_range":{"min":null,"max":null},"fid":"F1"},{"file_id":"F1","vid":"V3","name":"hv001","var_intrvl":"contin","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"9","loc_end_pos":"11","loc_width":"3","loc_rec_seg_no":"1","labl":"Cluster number","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":null,"var_catgry":[],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":"Cluster number is the number identifying the sample point as used during the fieldwork. This variable may be a composite of several variables in the questionnaire. If so, the original variables are included in RECH3 as country-specific variables.","var_val_range":{"min":"1","max":"110"},"fid":"F1"},{"file_id":"F1","vid":"V4","name":"hv002","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"12","loc_end_pos":"13","loc_width":"2","loc_rec_seg_no":"1","labl":"Household number","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":null,"var_catgry":[],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":"Household number is the number identifying the household within the cluster or sample point. In some cases, this variable may be the combination of dwelling number and household number within dwelling. In these cases, the original variables are included as country-specific variables.","var_val_range":{"min":"1","max":"16"},"fid":"F1"},{"file_id":"F1","vid":"V5","name":"hv003","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"14","loc_end_pos":"15","loc_width":"2","loc_rec_seg_no":"1","labl":"Respondent's line number","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":null,"var_catgry":[],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":"Respondent's line number is the line number in the household schedule of the person responding to the questions asked in the household questionnaire. 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The eligibility criteria are generally: female, aged between 15 and 49. In some countries, the eligibility criteria restricts the survey to ever-married women.","var_val_range":{"min":null,"max":null},"fid":"F1"},{"file_id":"F1","vid":"V13","name":"hv011","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"39","loc_end_pos":"39","loc_width":"1","loc_rec_seg_no":"1","labl":"Number of eligible men in HH","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":null,"var_catgry":[],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":"Total number of eligible men indicates the number of men found eligible for the men's or husband's survey in the household. 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Country-specific categorizations of education are recorded in RECH3.","var_val_range":{"min":"0","max":"8"},"fid":"F2"},{"file_id":"F2","vid":"V51","name":"hv107","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"16","loc_end_pos":"17","loc_width":"2","loc_rec_seg_no":"1","labl":"Highest year of education","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":"All household members except those answering \"No education\" or with missing data or the response \"Don't know\" for HV106 (HV106 <> 0 and HV106 <> 9 and HV106 <> 8).","var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":null,"var_catgry":[{"value":"98","labl":"DK","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":"Highest year of education gives the years of education completed at the level given in HV106.","var_val_range":{"min":"98","max":"98"},"fid":"F2"},{"file_id":"F2","vid":"V52","name":"hv108","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"18","loc_end_pos":"19","loc_width":"2","loc_rec_seg_no":"1","labl":"Education in single years","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[],"var_txt":null,"var_catgry":[{"value":"97","labl":"Inconsistent","is_missing":null,"stats":[]},{"value":"98","labl":"DK","is_missing":null,"stats":[]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":"Education in single years. 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