Enquête sur l'Economie Informelle aux Comores - 2021
Comoros, 2021
Obtenir les microdonnées
ID de référence
DDI-COM-EEIC-2021
Producteur(s)
Institut National de la Statistique et des Etudes Economiques et Démographiques
Métadonnées
Créé le
Oct 24, 2025
Dernière modification
Oct 24, 2025
Consultations
10766
Téléchargements
15
- Fichiers de données
- sARD_ind_Inf_Ph1_2021
- sC_ind_Inf_Ph1_2021
- sE_men_Inf_Ph1_2021
- sEP_ind_Inf_Ph1_2021
- sES_ind_Inf_Ph1_2021
- sH_men_Inf_Ph1_2021
- sID_men_Inf_Ph1_2021
- sM_men_Inf_Ph1_2021
- sMAC_ind_Inf_Ph1_2021
- sQ_ind_Inf_Ph1_2021
- sR_ind_Inf_Ph1_2021
- sREC_ind_Inf_Ph1_2021
- sRHE_ind_Inf_Ph1_2021
- sSA_ind_Inf_Ph1_2021
- Informal_InfPh2_2021
- sCOV_InfPh2_2021
- sCPU_InfPh2_2021
- sDC_1_InfPh2_2021
- sDC_2_InfPh2_2021
- sDC_3_InfPh2_2021
- sDC_4_InfPh2_2021
- sDF_InfPh2_2021
- sEIF1_InfPh2_2021
- sEIF2_InfPh2_2021
- sF_InfPh2_2021
- sG_InfPh2_2021
- sH_InfPh2_2021
- sMFC_InfPh2_2021
- sMO_InfPh2_2021
- sPV_1_InfPh2_2021
- sPV_2_InfPh2_2021
- sPV_3_InfPh2_2021
- sR_InfPh2_2021
- COM_EEIC_2021_FULL
MFC3_3. Vers quel pays exportez-vous principalement ? (MFC3_3)
Fichier de microdonnées: sMFC_InfPh2_2021
Aperçu
Valide:
26
Non valide:
1877
Minimum:
40000
Maximum:
50151
Type:
Discret
Décimal:
0
Largeur:
5
Intervalle:
40000 - 50195
Format:
Numérique
Questions et instructions
Catégories
| Valeur | Catégorie | le cas | |
|---|---|---|---|
| 40000 | MAYOTTE | 12 |
46.2%
|
| 50001 | AFRIQUE DU SUD | 1 |
3.8%
|
| 50002 | ALGÉRIE | 0 |
0%
|
| 50003 | ANGOLA | 0 |
0%
|
| 50004 | BÉNIN | 0 |
0%
|
| 50005 | BOTSWANA | 1 |
3.8%
|
| 50006 | BURKINA FASO | 0 |
0%
|
| 50007 | BURUNDI | 0 |
0%
|
| 50008 | CAMEROUN | 0 |
0%
|
| 50009 | CAP-VERT | 1 |
3.8%
|
| 50010 | RÉPUBLIQUE CENTRAFRICAINE | 0 |
0%
|
| 50011 | RÉPUBLIQUE DU CONGO | 0 |
0%
|
| 50012 | RÉPUBLIQUE DÉMOCRATIQUE DU CONGO | 0 |
0%
|
| 50013 | CÔTE D'IVOIRE | 0 |
0%
|
| 50014 | DJIBOUTI | 0 |
0%
|
| 50015 | ÉGYPTE | 2 |
7.7%
|
| 50016 | ÉRYTHRÉE | 0 |
0%
|
| 50017 | ÉTHIOPIE | 0 |
0%
|
| 50018 | GABON | 0 |
0%
|
| 50019 | GAMBIE | 0 |
0%
|
| 50020 | GHANA | 0 |
0%
|
| 50021 | GUINÉE | 0 |
0%
|
| 50022 | GUINÉE-BISSAU | 0 |
0%
|
| 50023 | GUINÉE ÉQUATORIALE | 0 |
0%
|
| 50024 | KENYA | 0 |
0%
|
| 50025 | LESOTHO | 0 |
0%
|
| 50026 | LIBERIA | 0 |
0%
|
| 50027 | LIBYE | 0 |
0%
|
| 50028 | MADAGASCAR | 1 |
3.8%
|
| 50029 | MALAWI | 0 |
0%
|
| 50030 | MALI | 0 |
0%
|
| 50031 | MAROC | 0 |
0%
|
| 50032 | MAURICE | 0 |
0%
|
| 50033 | MAURITANIE | 0 |
0%
|
| 50034 | MOZAMBIQUE | 0 |
0%
|
| 50035 | NAMIBIE | 0 |
0%
|
| 50036 | NIGER | 0 |
0%
|
| 50037 | NIGERIA | 0 |
0%
|
| 50038 | OUGANDA | 0 |
0%
|
| 50039 | RWANDA | 0 |
0%
|
| 50040 | SAHARA OCCIDENTAL | 0 |
0%
|
| 50041 | SAO TOMÉ-ET-PRINCIPE | 0 |
0%
|
| 50042 | SÉNÉGAL | 0 |
0%
|
| 50043 | SEYCHELLES | 0 |
0%
|
| 50044 | SIERRA LEONE | 0 |
0%
|
| 50045 | SOMALIE | 0 |
0%
|
| 50046 | SOUDAN | 0 |
0%
|
| 50047 | SOUDAN DU SUD | 0 |
0%
|
| 50048 | SWAZILAND | 0 |
0%
|
| 50049 | TANZANIE | 1 |
3.8%
|
| 50050 | TCHAD | 0 |
0%
|
| 50051 | TOGO | 0 |
0%
|
| 50052 | TUNISIE | 0 |
0%
|
| 50053 | ZAMBIE | 0 |
0%
|
| 50054 | ZIMBABWE | 0 |
0%
|
| 50055 | ANTIGUA-ET-BARBUDA | 0 |
0%
|
| 50056 | ARGENTINE | 0 |
0%
|
| 50057 | BAHAMAS | 0 |
0%
|
| 50058 | BARBADE | 0 |
0%
|
| 50059 | BELIZE | 0 |
0%
|
| 50060 | BOLIVIE | 0 |
0%
|
| 50061 | BRÉSIL | 0 |
0%
|
| 50062 | CANADA | 0 |
0%
|
| 50063 | CHILI | 0 |
0%
|
| 50064 | COLOMBIE | 0 |
0%
|
| 50065 | COSTA RICA | 0 |
0%
|
| 50066 | CUBA | 0 |
0%
|
| 50067 | RÉPUBLIQUE DOMINICAINE | 0 |
0%
|
| 50068 | DOMINIQUE | 0 |
0%
|
| 50069 | ÉQUATEUR | 0 |
0%
|
| 50070 | ÉTATS-UNIS | 0 |
0%
|
| 50071 | GRENADE | 0 |
0%
|
| 50072 | GUATEMALA | 0 |
0%
|
| 50073 | GUYANA | 0 |
0%
|
| 50074 | HAÏTI | 0 |
0%
|
| 50075 | HONDURAS | 0 |
0%
|
| 50076 | JAMAÏQUE | 0 |
0%
|
| 50077 | MEXIQUE | 0 |
0%
|
| 50078 | NICARAGUA | 0 |
0%
|
| 50079 | PANAMA | 0 |
0%
|
| 50080 | PARAGUAY | 0 |
0%
|
| 50081 | PÉROU | 0 |
0%
|
| 50082 | SAINT-CHRISTOPHE-ET-NIÉVÈS | 0 |
0%
|
| 50083 | SAINTE-LUCIE | 0 |
0%
|
| 50084 | SAINT-VINCENT-ET-LES-GRENADINES | 0 |
0%
|
| 50085 | SALVADOR | 0 |
0%
|
| 50086 | SURINAME | 0 |
0%
|
| 50087 | TRINITÉ-ET-TOBAGO | 0 |
0%
|
| 50088 | URUGUAY | 0 |
0%
|
| 50089 | VENEZUELA | 0 |
0%
|
| 50090 | AFGHANISTAN | 0 |
0%
|
| 50091 | ARABIE SAOUDITE | 0 |
0%
|
| 50092 | ARMÉNIE | 0 |
0%
|
| 50093 | AZERBAÏDJAN | 0 |
0%
|
| 50094 | BAHREÏN | 0 |
0%
|
| 50095 | BANGLADESH | 0 |
0%
|
| 50096 | BHOUTAN | 0 |
0%
|
| 50097 | BIRMANIE | 0 |
0%
|
| 50098 | BRUNEI | 0 |
0%
|
| 50099 | CAMBODGE | 0 |
0%
|
| 50100 | COMMUNE DE CHINE | 0 |
0%
|
| 50101 | CORÉE DU NORD | 0 |
0%
|
| 50102 | CORÉE DU SUD | 0 |
0%
|
| 50103 | ÉMIRATS ARABES UNIS | 0 |
0%
|
| 50104 | GÉORGIE | 0 |
0%
|
| 50105 | INDE | 0 |
0%
|
| 50106 | INDONÉSIE | 0 |
0%
|
| 50107 | IRAK | 0 |
0%
|
| 50108 | IRAN | 0 |
0%
|
| 50109 | ISRAËL | 0 |
0%
|
| 50110 | JAPON | 0 |
0%
|
| 50111 | JORDANIE | 0 |
0%
|
| 50112 | KAZAKHSTAN | 0 |
0%
|
| 50113 | KIRGHIZISTAN | 0 |
0%
|
| 50114 | KOWEÏT | 0 |
0%
|
| 50115 | LAOS | 0 |
0%
|
| 50116 | LIBAN | 0 |
0%
|
| 50117 | MALAISIE | 0 |
0%
|
| 50118 | MALDIVES | 0 |
0%
|
| 50119 | MONGOLIE | 0 |
0%
|
| 50120 | NÉPAL | 0 |
0%
|
| 50121 | OMAN | 0 |
0%
|
| 50122 | OUZBÉKISTAN | 0 |
0%
|
| 50123 | PAKISTAN | 0 |
0%
|
| 50124 | PHILIPPINES | 0 |
0%
|
| 50125 | QATAR | 0 |
0%
|
| 50126 | SINGAPOUR | 0 |
0%
|
| 50127 | SRI LANKA | 0 |
0%
|
| 50128 | SYRIE | 0 |
0%
|
| 50129 | TADJIKISTAN | 0 |
0%
|
| 50130 | THAÏLANDE | 0 |
0%
|
| 50131 | TIMOR ORIENTAL | 0 |
0%
|
| 50132 | TURKMÉNISTAN | 0 |
0%
|
| 50133 | TURQUIE | 0 |
0%
|
| 50134 | VIÊT NAM | 0 |
0%
|
| 50135 | YÉMEN | 0 |
0%
|
| 50136 | ALBANIE | 0 |
0%
|
| 50137 | ALLEMAGNE | 0 |
0%
|
| 50138 | ANDORRE | 0 |
0%
|
| 50139 | AUTRICHE | 0 |
0%
|
| 50140 | BELGIQUE | 0 |
0%
|
| 50141 | BIÉLORUSSIE | 0 |
0%
|
| 50142 | BOSNIE-HERZÉGOVINE | 0 |
0%
|
| 50143 | BULGARIE | 0 |
0%
|
| 50144 | CHYPRE | 0 |
0%
|
| 50145 | CRETE | 0 |
0%
|
| 50146 | CROATIE | 0 |
0%
|
| 50147 | DANEMARK | 0 |
0%
|
| 50148 | ESPAGNE | 0 |
0%
|
| 50149 | ESTONIE | 0 |
0%
|
| 50150 | FINLANDE | 0 |
0%
|
| 50151 | FRANCE | 7 |
26.9%
|
| 50152 | GRÈCE | 0 |
0%
|
| 50153 | HONGRIE | 0 |
0%
|
| 50154 | IRLANDE | 0 |
0%
|
| 50155 | ISLANDE | 0 |
0%
|
| 50156 | ITALIE | 0 |
0%
|
| 50157 | LETTONIE | 0 |
0%
|
| 50158 | LIECHTENSTEIN | 0 |
0%
|
| 50159 | LITUANIE | 0 |
0%
|
| 50160 | LUXEMBOURG | 0 |
0%
|
| 50161 | MACÉDOINE | 0 |
0%
|
| 50162 | MALTE | 0 |
0%
|
| 50163 | MOLDAVIE | 0 |
0%
|
| 50164 | MONACO | 0 |
0%
|
| 50165 | MONTÉNÉGRO | 0 |
0%
|
| 50166 | NORVÈGE | 0 |
0%
|
| 50167 | PAYS-BAS | 0 |
0%
|
| 50168 | POLOGNE | 0 |
0%
|
| 50169 | PORTUGAL | 0 |
0%
|
| 50170 | RÉPUBLIQUE TCHÈQUE | 0 |
0%
|
| 50171 | ROUMANIE | 0 |
0%
|
| 50172 | ROYAUME-UNI | 0 |
0%
|
| 50173 | RUSSIE | 0 |
0%
|
| 50174 | SAINT-MARIN | 0 |
0%
|
| 50175 | SERBIE | 0 |
0%
|
| 50176 | SLOVAQUIE | 0 |
0%
|
| 50177 | SLOVÉNIE | 0 |
0%
|
| 50178 | SUÈDE | 0 |
0%
|
| 50179 | SUISSE | 0 |
0%
|
| 50180 | UKRAINE | 0 |
0%
|
| 50181 | VATICAN | 0 |
0%
|
| 50182 | AUSTRALIE | 0 |
0%
|
| 50183 | FIDJI | 0 |
0%
|
| 50184 | KIRIBATI | 0 |
0%
|
| 50185 | MARSHALL | 0 |
0%
|
| 50186 | MICRONÉSIE | 0 |
0%
|
| 50187 | NAURU | 0 |
0%
|
| 50188 | NOUVELLE-ZÉLANDE | 0 |
0%
|
| 50189 | PALAOS | 0 |
0%
|
| 50190 | PAPOUASIE-NOUVELLE-GUINÉE | 0 |
0%
|
| 50191 | SALOMON | 0 |
0%
|
| 50192 | SAMOA | 0 |
0%
|
| 50193 | TONGA | 0 |
0%
|
| 50194 | TUVALU | 0 |
0%
|
| 50195 | VANUATU | 0 |
0%
|
| Sysmiss | 1877 |
Attention : ces chiffres indiquent le nombre de cas trouvés dans le fichier de données. Ils ne peuvent être interprétés comme des statistiques sommaires de la population d'intérêt.