Migrations between Africa and Europe - MAFE DR Congo (2009)
Belgium, Congo, Democratic Republic of the, United Kingdom, 2009 - 2010
Obtenir les microdonnées
ID de référence
IE0216B
Producteur(s)
BEAUCHEMIN Cris
Collections
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Créé le
Mar 04, 2022
Dernière modification
Jul 15, 2024
Consultations
738718
Téléchargements
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- Fichiers de données
- rdc_qb_general
- rdc_qb_union
- rdc_qb_children
- rdc_qb_house
- rdc_qb_activity
- rdc_qb_assets
- rdc_qb_mig_attempts
- rdc_qb_migration
- rdc_qb_network
- rdc_qb_short_return
- rdc_qb_short_stay
- rdc_qb_citizenship
- rdc_qb_asylum
- rdc_qb_residence_permit
- rdc_qb_work_permit
- rdc_qb_transfer
- rdc_qb_association
- rdc_qm_household
- rdc_qm_indiv
- rdc_qb_return
Name of the town/village (q303)
Fichier de microdonnées: rdc_qb_house
Aperçu
Valide:
8669
Non valide:
1692
Type:
Discret
Largeur:
26
Intervalle:
-
Format:
character
Questions et instructions
Formulation de la question
303. You lived then in "name of the TOWN or VILLAGE"
Catégories
| Valeur | Catégorie | le cas | |
|---|---|---|---|
| 1101 | 1 |
0%
|
|
| AAKEN | 2 |
0%
|
|
| ABIDJAN | 2 |
0%
|
|
| AKETI | 1 |
0%
|
|
| ALLEMANGNE | 1 |
0%
|
|
| AMSTERDAM | 1 |
0%
|
|
| ANGOLA | 2 |
0%
|
|
| ANKARA | 1 |
0%
|
|
| ANVERS | 5 |
0.1%
|
|
| ARURWA TOWN | 1 |
0%
|
|
| ATHENES | 1 |
0%
|
|
| Abidjan | 2 |
0%
|
|
| Ajalo | 1 |
0%
|
|
| Aketi | 1 |
0%
|
|
| Alost | 2 |
0%
|
|
| Amatama | 1 |
0%
|
|
| Amiens | 1 |
0%
|
|
| Amphin | 1 |
0%
|
|
| Amsterdam | 3 |
0%
|
|
| Anderlecht | 16 |
0.2%
|
|
| Angleur | 1 |
0%
|
|
| Ans | 1 |
0%
|
|
| Anvers | 31 |
0.4%
|
|
| Arlon | 6 |
0.1%
|
|
| Asse | 3 |
0%
|
|
| Ath | 1 |
0%
|
|
| Athenes | 1 |
0%
|
|
| Athus | 1 |
0%
|
|
| Attert | 1 |
0%
|
|
| Avroy | 1 |
0%
|
|
| BAASANKUSU | 1 |
0%
|
|
| BABA | 1 |
0%
|
|
| BAGATA | 4 |
0%
|
|
| BAMBESA | 1 |
0%
|
|
| BANANA | 1 |
0%
|
|
| BANDALUNGWA | 4 |
0%
|
|
| BANDUNDU | 104 |
1.2%
|
|
| BANDUNDU VILLE | 15 |
0.2%
|
|
| BANGATA | 1 |
0%
|
|
| BANGUI | 9 |
0.1%
|
|
| BANU | 1 |
0%
|
|
| BARINGA | 1 |
0%
|
|
| BARKING AND DAGENHAM | 7 |
0.1%
|
|
| BARNET | 4 |
0%
|
|
| BARUMBU | 3 |
0%
|
|
| BAS CONGO | 13 |
0.1%
|
|
| BAS-CONGO | 1 |
0%
|
|
| BASANKUSU | 4 |
0%
|
|
| BASILDON | 1 |
0%
|
|
| BEFALE | 1 |
0%
|
|
| BELEMIER | 1 |
0%
|
|
| BENO | 2 |
0%
|
|
| BERLIN | 2 |
0%
|
|
| BEXLEY | 1 |
0%
|
|
| BILILI | 2 |
0%
|
|
| BINZA IPN | 1 |
0%
|
|
| BIRMINGHAM | 11 |
0.1%
|
|
| BOENDE | 10 |
0.1%
|
|
| BOENDEA | 1 |
0%
|
|
| BOKAI NDEMBE | 1 |
0%
|
|
| BOKAKATA | 1 |
0%
|
|
| BOKELE | 1 |
0%
|
|
| BOKILIYO | 1 |
0%
|
|
| BOKORO | 1 |
0%
|
|
| BOKOTE | 1 |
0%
|
|
| BOKUNGU | 1 |
0%
|
|
| BOLOBO | 3 |
0%
|
|
| BOLOMBO | 1 |
0%
|
|
| BOMA | 16 |
0.2%
|
|
| BOMONGO | 1 |
0%
|
|
| BONDO | 1 |
0%
|
|
| BONGANDANGA | 4 |
0%
|
|
| BONGANDANGANDA | 1 |
0%
|
|
| BONGAYASA | 1 |
0%
|
|
| BONGIMBA | 1 |
0%
|
|
| BOSOBE | 1 |
0%
|
|
| BOSULI | 1 |
0%
|
|
| BOTEKA | 1 |
0%
|
|
| BOURSA | 1 |
0%
|
|
| BOYELE | 1 |
0%
|
|
| BRADFORD | 1 |
0%
|
|
| BRAZAVILLE | 5 |
0.1%
|
|
| BRAZZA | 12 |
0.1%
|
|
| BRAZZA VILLE | 17 |
0.2%
|
|
| BRAZZAVCILLE | 1 |
0%
|
|
| BRAZZAVILLE | 63 |
0.7%
|
|
| BRENT | 4 |
0%
|
|
| BRIGHTON AND HOVE | 2 |
0%
|
|
| BRISTOL | 1 |
0%
|
|
| BROMLEY | 3 |
0%
|
|
| BRUXELLES | 26 |
0.3%
|
|
| BUJUMBURA | 3 |
0%
|
|
| BUKAVU | 25 |
0.3%
|
|
| BULUMBU | 1 |
0%
|
|
| BULUNGU | 13 |
0.1%
|
|
| BUMBA | 11 |
0.1%
|
|
| BUMBU | 2 |
0%
|
|
| BUNIA | 3 |
0%
|
|
| BUSINGA | 3 |
0%
|
|
| BUTA | 2 |
0%
|
|
| BUTARE | 1 |
0%
|
|
| BUTEMBO | 1 |
0%
|
|
| BUTEMU | 1 |
0%
|
|
| Bagata | 1 |
0%
|
|
| Baileux | 3 |
0%
|
|
| Bakwanga | 1 |
0%
|
|
| Bamako | 1 |
0%
|
|
| Banana | 1 |
0%
|
|
| Bandal | 1 |
0%
|
|
| Bandalungua | 1 |
0%
|
|
| Bandende | 1 |
0%
|
|
| Bandundu | 11 |
0.1%
|
|
| Bangui | 2 |
0%
|
|
| Bas Congo | 4 |
0%
|
|
| Bas Congo Kasangulu | 1 |
0%
|
|
| Basecles | 1 |
0%
|
|
| Benakasa | 1 |
0%
|
|
| Beneleka | 1 |
0%
|
|
| Beni | 1 |
0%
|
|
| Berchem Sainte Aghate | 3 |
0%
|
|
| Binga | 2 |
0%
|
|
| Blaton | 1 |
0%
|
|
| Blegny | 1 |
0%
|
|
| Boende | 2 |
0%
|
|
| Bokoro | 2 |
0%
|
|
| Boma | 17 |
0.2%
|
|
| Bondo | 2 |
0%
|
|
| Boom | 1 |
0%
|
|
| Bordeaux | 1 |
0%
|
|
| Boussu | 1 |
0%
|
|
| Boyangi | 1 |
0%
|
|
| Bozo-Manzi | 1 |
0%
|
|
| Braaschat | 1 |
0%
|
|
| Braine l Alleud | 3 |
0%
|
|
| Braine le Comte | 1 |
0%
|
|
| Brazzaville | 3 |
0%
|
|
| Bressoux | 1 |
0%
|
|
| Bruxelles | 253 |
2.9%
|
|
| Buerenville | 1 |
0%
|
|
| Bujumbura | 4 |
0%
|
|
| Bukama | 1 |
0%
|
|
| Bukanga Lonzo | 1 |
0%
|
|
| Bukavu | 28 |
0.3%
|
|
| Bukonde | 1 |
0%
|
|
| Bulanga | 1 |
0%
|
|
| Bumba | 2 |
0%
|
|
| Bunia | 2 |
0%
|
|
| Busu Gbale | 1 |
0%
|
|
| Buta | 4 |
0%
|
|
| Butembo | 2 |
0%
|
|
| Buzumbur | 1 |
0%
|
|
| Bwamanda | 1 |
0%
|
|
| CABINDA | 6 |
0.1%
|
|
| CAMBERWELL | 1 |
0%
|
|
| CAMDEN | 3 |
0%
|
|
| CAP TOWN | 1 |
0%
|
|
| CAP TOWNS | 1 |
0%
|
|
| CAPE TOWN | 1 |
0%
|
|
| CARDIFF | 1 |
0%
|
|
| CARIERE | 1 |
0%
|
|
| CHATELET | 1 |
0%
|
|
| CHERBOURG | 1 |
0%
|
|
| CHINGFORD | 1 |
0%
|
|
| CITY OF LONDON | 74 |
0.9%
|
|
| COLOMBE | 2 |
0%
|
|
| COTONOU | 1 |
0%
|
|
| COTOUNOU | 1 |
0%
|
|
| COVENTRY | 1 |
0%
|
|
| CROYDON | 10 |
0.1%
|
|
| Cachan | 1 |
0%
|
|
| Cap Town | 1 |
0%
|
|
| Charleroi | 15 |
0.2%
|
|
| Chastre | 1 |
0%
|
|
| Chaudfontaine | 1 |
0%
|
|
| Ciney | 1 |
0%
|
|
| Cointe | 1 |
0%
|
|
| Cotonou | 1 |
0%
|
|
| Court Saint Etienne | 4 |
0%
|
|
| Courtrai | 2 |
0%
|
|
| Cuesmes | 1 |
0%
|
|
| DAKKAR | 1 |
0%
|
|
| DANDO | 1 |
0%
|
|
| DEPTFORD | 1 |
0%
|
|
| DIBAYA | 2 |
0%
|
|
| DILOLO | 1 |
0%
|
|
| DIMBELENGE | 1 |
0%
|
|
| DJUMA | 2 |
0%
|
|
| DOMINGO VASCO | 1 |
0%
|
|
| DONGO | 1 |
0%
|
|
| DORTMUND | 1 |
0%
|
|
| DOUALA | 1 |
0%
|
|
| DOVER | 1 |
0%
|
|
| DUE | 1 |
0%
|
|
| DUNDU | 3 |
0%
|
|
| DUNGU | 4 |
0%
|
|
| Dakar | 1 |
0%
|
|
| Danden | 1 |
0%
|
|
| Dar-Es-Salam | 1 |
0%
|
|
| Dekese | 2 |
0%
|
|
| Delft | 2 |
0%
|
|
| Demba | 1 |
0%
|
|
| Dibaya | 1 |
0%
|
|
| Dibinga | 2 |
0%
|
|
| Dikongayi | 1 |
0%
|
|
| Dilbeek | 1 |
0%
|
|
| Dilolo | 1 |
0%
|
|
| Dinguila | 1 |
0%
|
|
| Diunga | 1 |
0%
|
|
| Djemba | 1 |
0%
|
|
| Dodreckt | 1 |
0%
|
|
| Dortmund | 1 |
0%
|
|
| Dourdan | 1 |
0%
|
|
| Drachten | 1 |
0%
|
|
| Droixhe | 1 |
0%
|
|
| Duffel | 1 |
0%
|
|
| Dundu | 1 |
0%
|
|
| Dungu | 1 |
0%
|
|
| Dusseldorf | 2 |
0%
|
|
| EALING | 4 |
0%
|
|
| EKUBI | 1 |
0%
|
|
| ELOLA | 1 |
0%
|
|
| ENFIELD | 9 |
0.1%
|
|
| EQUATEUR | 7 |
0.1%
|
|
| EQUETEUR | 2 |
0%
|
|
| ESSEN | 1 |
0%
|
|
| Ekandashimbi | 1 |
0%
|
|
| Equateur | 7 |
0.1%
|
|
| Ernage | 1 |
0%
|
|
| Essen | 1 |
0%
|
|
| Etalle | 1 |
0%
|
|
| Etterbeek | 3 |
0%
|
|
| Eupen | 1 |
0%
|
|
| Evere | 9 |
0.1%
|
|
| FAMPANDA | 2 |
0%
|
|
| FATUNDU | 3 |
0%
|
|
| FESHI | 2 |
0%
|
|
| FEZ | 2 |
0%
|
|
| FORESTGATE | 1 |
0%
|
|
| FRIBOURD | 2 |
0%
|
|
| FRIBOURE | 1 |
0%
|
|
| Feluy | 1 |
0%
|
|
| Fizi | 1 |
0%
|
|
| Flemalle | 1 |
0%
|
|
| Fleurus | 1 |
0%
|
|
| Fontaine l Eveque | 1 |
0%
|
|
| Forchi la Marche | 1 |
0%
|
|
| Forest | 1 |
0%
|
|
| Fraipont | 14 |
0.2%
|
|
| France | 1 |
0%
|
|
| GAGNY | 1 |
0%
|
|
| GALACIE | 1 |
0%
|
|
| GARE | 1 |
0%
|
|
| GBADOLITE | 5 |
0.1%
|
|
| GEMENA | 2 |
0%
|
|
| GENEVE | 2 |
0%
|
|
| GLASGOW | 6 |
0.1%
|
|
| GLOUCESTER | 3 |
0%
|
|
| GOMA | 18 |
0.2%
|
|
| GOMBE | 1 |
0%
|
|
| GREENWICH | 2 |
0%
|
|
| GUNGU | 7 |
0.1%
|
|
| Gand | 2 |
0%
|
|
| Ganshoren | 3 |
0%
|
|
| Gbadolite | 2 |
0%
|
|
| Gembloux | 1 |
0%
|
|
| Gemena | 4 |
0%
|
|
| Genval | 1 |
0%
|
|
| Ghlin | 3 |
0%
|
|
| Goma | 17 |
0.2%
|
|
| Gomba Matadi | 1 |
0%
|
|
| Gombe | 2 |
0%
|
|
| Gosselies | 1 |
0%
|
|
| Grammont | 2 |
0%
|
|
| Grimbergen | 4 |
0%
|
|
| Grivegnee | 1 |
0%
|
|
| HACKNEY | 5 |
0.1%
|
|
| HAMMERSMITH AND FULHAM | 4 |
0%
|
|
| HARINGEY | 13 |
0.1%
|
|
| HARROW | 1 |
0%
|
|
| HAVERING | 1 |
0%
|
|
| HOUNSLOW | 3 |
0%
|
|
| HUDDERSFIELD | 1 |
0%
|
|
| HULL | 1 |
0%
|
|
| Hamilton | 1 |
0%
|
|
| Herne | 1 |
0%
|
|
| Herstal | 2 |
0%
|
|
| Heusden Zolder | 1 |
0%
|
|
| Hotton | 3 |
0%
|
|
| Huy | 1 |
0%
|
|
| IDIOFA | 10 |
0.1%
|
|
| IDOFA | 2 |
0%
|
|
| IFUANZONDO | 1 |
0%
|
|
| IKELA | 1 |
0%
|
|
| IKNSHASA | 1 |
0%
|
|
| IKOKO EQUATEUR | 1 |
0%
|
|
| ILANGA | 1 |
0%
|
|
| ILEBO | 10 |
0.1%
|
|
| INGENDE | 3 |
0%
|
|
| INKISI | 1 |
0%
|
|
| INONGO | 4 |
0%
|
|
| ISANGI | 1 |
0%
|
|
| ISIRO | 2 |
0%
|
|
| ISLINGTON | 7 |
0.1%
|
|
| Ijmuiben | 2 |
0%
|
|
| Ilebo | 3 |
0%
|
|
| Inkisi | 2 |
0%
|
|
| Inongo | 1 |
0%
|
|
| Irumu | 1 |
0%
|
|
| Isiro | 2 |
0%
|
|
| Italie | 1 |
0%
|
|
| Itoma | 1 |
0%
|
|
| Ixelles | 11 |
0.1%
|
|
| JOANESBURG | 1 |
0%
|
|
| JOHANNESBOURG | 6 |
0.1%
|
|
| JUMA | 1 |
0%
|
|
| Jemappes | 1 |
0%
|
|
| Jette | 11 |
0.1%
|
|
| Jodoigne | 1 |
0%
|
|
| Johannesburg | 2 |
0%
|
|
| KABALO | 1 |
0%
|
|
| KABANGU | 1 |
0%
|
|
| KABARE | 2 |
0%
|
|
| KABEMBA | 1 |
0%
|
|
| KABINDA | 3 |
0%
|
|
| KABUNGU | 1 |
0%
|
|
| KAFUFU | 1 |
0%
|
|
| KAFUMFU | 2 |
0%
|
|
| KAFUNFU | 3 |
0%
|
|
| KAHEMBA | 3 |
0%
|
|
| KALAKITINI | 1 |
0%
|
|
| KALAMU | 8 |
0.1%
|
|
| KALEHE | 1 |
0%
|
|
| KALEMIE | 5 |
0.1%
|
|
| KALIMA | 1 |
0%
|
|
| KALONDA | 1 |
0%
|
|
| KAMFUMFU | 8 |
0.1%
|
|
| KAMINA | 3 |
0%
|
|
| KAMPALA | 3 |
0%
|
|
| KANANGA | 39 |
0.4%
|
|
| KANANGA 2 | 1 |
0%
|
|
| KANENE | 1 |
0%
|
|
| KANFUFU | 1 |
0%
|
|
| KANGANA | 1 |
0%
|
|
| KANIKUKU | 1 |
0%
|
|
| KANZU | 1 |
0%
|
|
| KAPANGA | 1 |
0%
|
|
| KAPEMBA | 1 |
0%
|
|
| KASA | 1 |
0%
|
|
| KASA VUBU | 1 |
0%
|
|
| KASAI ACCIDENTALE | 1 |
0%
|
|
| KASAI OCCIDENTAL | 2 |
0%
|
|
| KASAI OCCIDENTALE | 1 |
0%
|
|
| KASAI ORIENTAL | 1 |
0%
|
|
| KASAI ORIENTALE | 1 |
0%
|
|
| KASANGA | 1 |
0%
|
|
| KASANGULU | 4 |
0%
|
|
| KASAVUBU | 4 |
0%
|
|
| KASIDJI | 1 |
0%
|
|
| KASINGA | 1 |
0%
|
|
| KASONGO | 2 |
0%
|
|
| KASONGO LUNDA | 2 |
0%
|
|
| KASONGO LUNDA | 9 |
0.1%
|
|
| KASONGOLUNDA | 1 |
0%
|
|
| KASUBA | 1 |
0%
|
|
| KATANGA | 7 |
0.1%
|
|
| KAYIMBUNGU | 1 |
0%
|
|
| KAZANGA YOMBO | 1 |
0%
|
|
| KAZUA | 1 |
0%
|
|
| KENGE | 16 |
0.2%
|
|
| KENSINGTON AND CHELSEA | 2 |
0%
|
|
| KHARTOUM | 1 |
0%
|
|
| KI NSHASA | 1 |
0%
|
|
| KI9NSHASA | 2 |
0%
|
|
| KIAMFU | 1 |
0%
|
|
| KIANGA | 2 |
0%
|
|
| KIBALA | 1 |
0%
|
|
| KIBOMBO | 1 |
0%
|
|
| KIBUNDA | 3 |
0%
|
|
| KIENGE | 1 |
0%
|
|
| KIFUNGA | 1 |
0%
|
|
| KIKASA MWENYI | 1 |
0%
|
|
| KIKASI MWENYI | 1 |
0%
|
|
| KIKOMBO | 1 |
0%
|
|
| KIKONGO | 1 |
0%
|
|
| KIKONJI | 1 |
0%
|
|
| KIKOTO | 1 |
0%
|
|
| KIKWIT | 38 |
0.4%
|
|
| KIKWITI | 2 |
0%
|
|
| KILIBA | 1 |
0%
|
|
| KIMBAMBILI | 1 |
0%
|
|
| KIMBANSEKE | 18 |
0.2%
|
|
| KIMBAO | 1 |
0%
|
|
| KIMBASEKE | 11 |
0.1%
|
|
| KIMBATA | 1 |
0%
|
|
| KIMBELO | 1 |
0%
|
|
| KIMBUMBA | 1 |
0%
|
|
| KIMPAKU | 1 |
0%
|
|
| KIMPESE | 8 |
0.1%
|
|
| KIMUANZA BOMA | 1 |
0%
|
|
| KIMVUAMA | 1 |
0%
|
|
| KIMWANZA | 1 |
0%
|
|
| KIN | 1 |
0%
|
|
| KIN SHASA | 2 |
0%
|
|
| KINANGA | 1 |
0%
|
|
| KINDU | 7 |
0.1%
|
|
| KINFUMU NENGA | 1 |
0%
|
|
| KINGAMABA | 1 |
0%
|
|
| KINGAMAMBA | 2 |
0%
|
|
| KINGANA | 1 |
0%
|
|
| KINGANDU | 3 |
0%
|
|
| KINGOMBE | 1 |
0%
|
|
| KINGUDA | 1 |
0%
|
|
| KINHASA | 1 |
0%
|
|
| KINHSASA | 7 |
0.1%
|
|
| KINKASI | 1 |
0%
|
|
| KINSAHSA | 1 |
0%
|
|
| KINSANGANI | 3 |
0%
|
|
| KINSENSO | 2 |
0%
|
|
| KINSHAASA | 1 |
0%
|
|
| KINSHAS | 6 |
0.1%
|
|
| KINSHASA | 4495 |
51.9%
|
|
| KINSHASA0 | 1 |
0%
|
|
| KINSHASDA | 1 |
0%
|
|
| KINSHASZA | 1 |
0%
|
|
| KINSHSA | 1 |
0%
|
|
| KINSHSASA | 2 |
0%
|
|
| KINSNASA | 1 |
0%
|
|
| KINZAMBA | 2 |
0%
|
|
| KIOALI | 1 |
0%
|
|
| KIONSHA | 1 |
0%
|
|
| KIOSI | 1 |
0%
|
|
| KIPANZU | 1 |
0%
|
|
| KISANGANI | 51 |
0.6%
|
|
| KISANGI | 3 |
0%
|
|
| KISANTU | 4 |
0%
|
|
| KISENSO | 3 |
0%
|
|
| KISHASA | 3 |
0%
|
|
| KISONGA | 1 |
0%
|
|
| KITENDA | 2 |
0%
|
|
| KITONA | 3 |
0%
|
|
| KITOY | 1 |
0%
|
|
| KITUE | 1 |
0%
|
|
| KIUNSHASA | 1 |
0%
|
|
| KIVANDA | 1 |
0%
|
|
| KKINSHASA | 1 |
0%
|
|
| KLINSHASA | 1 |
0%
|
|
| KNSHASA | 5 |
0.1%
|
|
| KOLO | 1 |
0%
|
|
| KOLWEZI | 5 |
0.1%
|
|
| KONGOLO | 1 |
0%
|
|
| KOTA KOLI | 1 |
0%
|
|
| KUITUBIYE | 1 |
0%
|
|
| KULUNGU | 2 |
0%
|
|
| KUNGA MBANZA | 3 |
0%
|
|
| KUTU | 1 |
0%
|
|
| KWAMOUTH | 5 |
0.1%
|
|
| KWENGE | 1 |
0%
|
|
| KWILU MILUNDU | 1 |
0%
|
|
| KWILU NGONGO | 4 |
0%
|
|
| KWILU NGUNGU | 1 |
0%
|
|
| KWILUNGONGO | 1 |
0%
|
|
| Kabeya | 1 |
0%
|
|
| Kabwe | 1 |
0%
|
|
| Kafufu | 1 |
0%
|
|
| Kai Dibindu | 1 |
0%
|
|
| Kai Mbaku | 1 |
0%
|
|
| Kalamu | 2 |
0%
|
|
| Kalemie | 3 |
0%
|
|
| Kalima | 1 |
0%
|
|
| Kalona | 1 |
0%
|
|
| Kambove | 1 |
0%
|
|
| Kamina | 3 |
0%
|
|
| Kamituga | 1 |
0%
|
|
| Kampala | 3 |
0%
|
|
| Kamponde | 1 |
0%
|
|
| Kananga | 43 |
0.5%
|
|
| Kangu | 5 |
0.1%
|
|
| Kapelle Op Den Bos | 1 |
0%
|
|
| Kapolowe | 1 |
0%
|
|
| Kasangulu | 1 |
0%
|
|
| Kasavubu | 3 |
0%
|
|
| Kasenga | 3 |
0%
|
|
| Kasongo | 5 |
0.1%
|
|
| Katako | 1 |
0%
|
|
| Katanga | 3 |
0%
|
|
| Katolo | 1 |
0%
|
|
| Kazumba | 4 |
0%
|
|
| Kenge | 2 |
0%
|
|
| Kenge I | 6 |
0.1%
|
|
| Kenge II | 1 |
0%
|
|
| Kerkrade | 1 |
0%
|
|
| Kibubu | 1 |
0%
|
|
| Kigali | 2 |
0%
|
|
| Kikwit | 11 |
0.1%
|
|
| Kilava | 1 |
0%
|
|
| Kiliba | 1 |
0%
|
|
| Kimpese | 1 |
0%
|
|
| Kimuenza | 1 |
0%
|
|
| Kindu | 5 |
0.1%
|
|
| Kinsantu | 1 |
0%
|
|
| Kinshasa | 554 |
6.4%
|
|
| Kisangani | 19 |
0.2%
|
|
| Kitenda | 2 |
0%
|
|
| Kitenge | 1 |
0%
|
|
| Kithadi | 1 |
0%
|
|
| Kitona | 1 |
0%
|
|
| Kivu (Bukavu) | 1 |
0%
|
|
| Koekelberg | 3 |
0%
|
|
| Kolo | 1 |
0%
|
|
| Kolwesi | 1 |
0%
|
|
| Kolwezi | 7 |
0.1%
|
|
| Kongambolo | 1 |
0%
|
|
| Kongolo | 2 |
0%
|
|
| Kuimba | 1 |
0%
|
|
| Kwanda | 1 |
0%
|
|
| Kwilu Ngongo | 1 |
0%
|
|
| LAGOS | 6 |
0.1%
|
|
| LAMBETH | 12 |
0.1%
|
|
| LEEDS | 9 |
0.1%
|
|
| LEICESTER | 3 |
0%
|
|
| LEMBA | 36 |
0.4%
|
|
| LEWISHAM | 9 |
0.1%
|
|
| LIBENGE | 1 |
0%
|
|
| LIBRE VILLE | 3 |
0%
|
|
| LIBREVILLE | 3 |
0%
|
|
| LIEGE | 1 |
0%
|
|
| LIKASI | 4 |
0%
|
|
| LILLE | 1 |
0%
|
|
| LIMETE | 6 |
0.1%
|
|
| LINGUALA | 1 |
0%
|
|
| LINGWALA | 2 |
0%
|
|
| LISALA | 15 |
0.2%
|
|
| LISBON | 1 |
0%
|
|
| LKINSHASA | 1 |
0%
|
|
| LOANDA | 1 |
0%
|
|
| LOBO | 1 |
0%
|
|
| LODJA | 4 |
0%
|
|
| LOKOSI | 1 |
0%
|
|
| LOME | 2 |
0%
|
|
| LOUVAIN | 1 |
0%
|
|
| LOUZI | 1 |
0%
|
|
| LOZO | 1 |
0%
|
|
| LUANDA | 65 |
0.7%
|
|
| LUANDA NORD | 2 |
0%
|
|
| LUBAO | 1 |
0%
|
|
| LUBEFU | 2 |
0%
|
|
| LUBUMBASHI | 78 |
0.9%
|
|
| LUBUTU | 1 |
0%
|
|
| LUEBO | 3 |
0%
|
|
| LUIZA | 2 |
0%
|
|
| LUKAKA | 1 |
0%
|
|
| LUKALA | 1 |
0%
|
|
| LUKALABA | 1 |
0%
|
|
| LUKOLELA | 1 |
0%
|
|
| LUKULA | 2 |
0%
|
|
| LUMBASHI | 1 |
0%
|
|
| LUNDA | 4 |
0%
|
|
| LUNDA NERRE | 1 |
0%
|
|
| LUNDA NORD | 3 |
0%
|
|
| LUNDA NORT | 1 |
0%
|
|
| LUNDA NORTE | 1 |
0%
|
|
| LUOZI | 10 |
0.1%
|
|
| LUSAKA | 7 |
0.1%
|
|
| LUSAMBO | 1 |
0%
|
|
| LUSANGA | 4 |
0%
|
|
| LUTON | 2 |
0%
|
|
| LYLLE | 1 |
0%
|
|
| LYON | 2 |
0%
|
|
| La Courneuve | 1 |
0%
|
|
| La Gombe | 1 |
0%
|
|
| La Haye | 1 |
0%
|
|
| La Louviere | 3 |
0%
|
|
| Laakdal | 1 |
0%
|
|
| Laeken | 12 |
0.1%
|
|
| Lagos | 1 |
0%
|
|
| Latina | 1 |
0%
|
|
| Le Caire | 2 |
0%
|
|
| Lemba | 3 |
0%
|
|
| Lenfu | 1 |
0%
|
|
| Leta | 1 |
0%
|
|
| Liderkerke | 1 |
0%
|
|
| Liege | 77 |
0.9%
|
|
| Likasi | 7 |
0.1%
|
|
| Lille | 1 |
0%
|
|
| Limal | 1 |
0%
|
|
| Limete | 1 |
0%
|
|
| Lingwala | 4 |
0%
|
|
| Lisala | 5 |
0.1%
|
|
| Lisbonne | 1 |
0%
|
|
| Loangu | 2 |
0%
|
|
| Lodja | 6 |
0.1%
|
|
| Lokando | 1 |
0%
|
|
| Lome | 1 |
0%
|
|
| Lomela | 5 |
0.1%
|
|
| Losaya | 1 |
0%
|
|
| Louvain | 11 |
0.1%
|
|
| Luanda | 14 |
0.2%
|
|
| Lubudi | 2 |
0%
|
|
| Lubumbashi | 53 |
0.6%
|
|
| Luebo | 4 |
0%
|
|
| Lufutoto | 1 |
0%
|
|
| Luiza | 1 |
0%
|
|
| Lukalaba | 1 |
0%
|
|
| Lukula | 2 |
0%
|
|
| Luluabourg | 1 |
0%
|
|
| Lumbumbashi | 3 |
0%
|
|
| Luozi | 2 |
0%
|
|
| Lusaka | 1 |
0%
|
|
| Lusambo | 2 |
0%
|
|
| MACAMPAGNE | 1 |
0%
|
|
| MADIMBA | 7 |
0.1%
|
|
| MADRID | 1 |
0%
|
|
| MADUDA | 2 |
0%
|
|
| MAI NDOMBE | 1 |
0%
|
|
| MAJAMBU | 1 |
0%
|
|
| MAJINGA | 2 |
0%
|
|
| MAKALA | 1 |
0%
|
|
| MAKELA | 1 |
0%
|
|
| MAKIKU | 1 |
0%
|
|
| MAKONGO | 3 |
0%
|
|
| MAKOSO | 1 |
0%
|
|
| MAKUKU | 1 |
0%
|
|
| MALAO | 1 |
0%
|
|
| MANCHESTER | 7 |
0.1%
|
|
| MANGAYI | 1 |
0%
|
|
| MANIEMA | 1 |
0%
|
|
| MANTES LA JOLIE | 1 |
0%
|
|
| MAPOKO | 1 |
0%
|
|
| MAPUTO | 2 |
0%
|
|
| MASAMUNA | 1 |
0%
|
|
| MASHALA | 1 |
0%
|
|
| MASI | 1 |
0%
|
|
| MASI MANIMBA | 8 |
0.1%
|
|
| MASIMA NIMBA | 1 |
0%
|
|
| MASIMANIMBA | 2 |
0%
|
|
| MASINA | 4 |
0%
|
|
| MASISI | 1 |
0%
|
|
| MATADI | 34 |
0.4%
|
|
| MATAFU | 1 |
0%
|
|
| MATEKO | 2 |
0%
|
|
| MATETE | 10 |
0.1%
|
|
| MAWANGU | 1 |
0%
|
|
| MAZTETE | 1 |
0%
|
|
| MBANDAKA | 33 |
0.4%
|
|
| MBANZA NGUNGU | 6 |
0.1%
|
|
| MBANZA - NGUNGU | 1 |
0%
|
|
| MBANZA MALUNA | 1 |
0%
|
|
| MBANZA NGONGO | 1 |
0%
|
|
| MBANZA NGUNGU | 14 |
0.2%
|
|
| MBANZA-NGUNGU | 2 |
0%
|
|
| MBANZAMBU | 1 |
0%
|
|
| MBENDE | 1 |
0%
|
|
| MBIDILA | 1 |
0%
|
|
| MBIEN | 1 |
0%
|
|
| MBIONGO | 1 |
0%
|
|
| MBOMO | 1 |
0%
|
|
| MBONGALIKULI | 1 |
0%
|
|
| MBUJ IMAYI | 1 |
0%
|
|
| MBUJI MAYI | 38 |
0.4%
|
|
| MBUJI-MAYI | 1 |
0%
|
|
| MBUJIMAYI | 5 |
0.1%
|
|
| MEDINE | 2 |
0%
|
|
| MELUN | 1 |
0%
|
|
| MERTON | 3 |
0%
|
|
| MIKELENGE | 1 |
0%
|
|
| MIKWI | 1 |
0%
|
|
| MILTON KEYNES | 4 |
0%
|
|
| MINOVA | 2 |
0%
|
|
| MISSION KINGUNDA | 1 |
0%
|
|
| MISSION KISANJI | 1 |
0%
|
|
| MISSION NTOSI | 1 |
0%
|
|
| MOANDA | 5 |
0.1%
|
|
| MOBAYI MBONGO | 1 |
0%
|
|
| MOLIBE | 1 |
0%
|
|
| MONI CONGO | 1 |
0%
|
|
| MONIEKA | 1 |
0%
|
|
| MONS | 2 |
0%
|
|
| MONT NGAFULA | 1 |
0%
|
|
| MONT NGAFULA | 4 |
0%
|
|
| MONTGERON | 1 |
0%
|
|
| MOPEME | 1 |
0%
|
|
| MORONI | 1 |
0%
|
|
| MOZA | 1 |
0%
|
|
| MOZAMBOLI | 1 |
0%
|
|
| MUBUBA | 1 |
0%
|
|
| MUKALA | 1 |
0%
|
|
| MUKAMU | 2 |
0%
|
|
| MULUNGU | 2 |
0%
|
|
| MUNI | 1 |
0%
|
|
| MUSAMBA | 4 |
0%
|
|
| MUSANGU | 1 |
0%
|
|
| MUSENGE | 2 |
0%
|
|
| MUSHIE | 1 |
0%
|
|
| MUSHINDA | 1 |
0%
|
|
| MUSUNI | 1 |
0%
|
|
| MVIDA | 1 |
0%
|
|
| MWANE DITU | 1 |
0%
|
|
| MWEKA | 2 |
0%
|
|
| MWENE DITU | 1 |
0%
|
|
| MWENE DITU | 4 |
0%
|
|
| Maastricht | 1 |
0%
|
|
| Madimba | 6 |
0.1%
|
|
| Malines | 1 |
0%
|
|
| Malonne | 1 |
0%
|
|
| Maniema | 3 |
0%
|
|
| Marche en Famenne | 1 |
0%
|
|
| Marcinelle | 1 |
0%
|
|
| Martigny | 1 |
0%
|
|
| Masina | 1 |
0%
|
|
| Matadi | 9 |
0.1%
|
|
| Matete | 2 |
0%
|
|
| Mawanga | 1 |
0%
|
|
| Mayimbi | 1 |
0%
|
|
| Mbandaka | 14 |
0.2%
|
|
| Mbanza-Ngungu | 13 |
0.1%
|
|
| Mbata Mbenge | 1 |
0%
|
|
| Mbuji-Mayi | 9 |
0.1%
|
|
| Mechelen | 1 |
0%
|
|
| Miabi | 1 |
0%
|
|
| Michigan | 1 |
0%
|
|
| Misay | 1 |
0%
|
|
| Moanda | 5 |
0.1%
|
|
| Mobayi-Mbongo | 1 |
0%
|
|
| Molenbeek Saint Jean | 13 |
0.1%
|
|
| Mons | 28 |
0.3%
|
|
| Montreal | 1 |
0%
|
|
| Monzamboli | 1 |
0%
|
|
| Mosango Beach | 1 |
0%
|
|
| Mubert | 1 |
0%
|
|
| Mukila | 1 |
0%
|
|
| Musadi | 1 |
0%
|
|
| Mutinga | 1 |
0%
|
|
| Mvuzi | 2 |
0%
|
|
| Mweka | 5 |
0.1%
|
|
| Mwene Ditu | 2 |
0%
|
|
| Mwene-Ditu | 1 |
0%
|
|
| Mwenga | 1 |
0%
|
|
| Mweso | 1 |
0%
|
|
| N'Djamena | 1 |
0%
|
|
| N'lemba | 1 |
0%
|
|
| NAIROBI | 1 |
0%
|
|
| NAIROBIE | 1 |
0%
|
|
| NANCY | 1 |
0%
|
|
| NANTER | 1 |
0%
|
|
| NAPLES | 1 |
0%
|
|
| NDILI | 2 |
0%
|
|
| NDINGA | 1 |
0%
|
|
| NDJILI | 18 |
0.2%
|
|
| NDNJILI | 1 |
0%
|
|
| NDUNDU | 1 |
0%
|
|
| NDUNGU | 1 |
0%
|
|
| NEWHAM | 14 |
0.2%
|
|
| NEWPORT | 1 |
0%
|
|
| NGABA | 4 |
0%
|
|
| NGALIEMA | 2 |
0%
|
|
| NGAMPURU | 2 |
0%
|
|
| NGANDA NSUNGI | 1 |
0%
|
|
| NGANDANJIKA | 1 |
0%
|
|
| NGAPURU | 1 |
0%
|
|
| NGEBA | 1 |
0%
|
|
| NGIRI NGIRI | 4 |
0%
|
|
| NGIRIMONZOYI EQUATEUR | 1 |
0%
|
|
| NGIRINGIRI | 1 |
0%
|
|
| NGISENI | 1 |
0%
|
|
| NGONDI | 1 |
0%
|
|
| NGUNGU | 1 |
0%
|
|
| NGUNGU DOE | 1 |
0%
|
|
| NGUNGU DOG | 1 |
0%
|
|
| NIADI | 1 |
0%
|
|
| NKAMBA | 1 |
0%
|
|
| NKUIDI | 1 |
0%
|
|
| NORTH CAROLINA | 1 |
0%
|
|
| NOTTINGHAM | 1 |
0%
|
|
| NZAJI | 1 |
0%
|
|
| NZASI | 1 |
0%
|
|
| Nairobi | 6 |
0.1%
|
|
| Namur | 16 |
0.2%
|
|
| Ndekesha | 1 |
0%
|
|
| Ndjamena | 1 |
0%
|
|
| Ndjili | 1 |
0%
|
|
| Neimergen | 1 |
0%
|
|
| Neufmaison | 1 |
0%
|
|
| New York | 1 |
0%
|
|
| Ngandajika | 1 |
0%
|
|
| Ngi | 1 |
0%
|
|
| Ngiringiri | 2 |
0%
|
|
| Niamey | 1 |
0%
|
|
| Nieuport | 1 |
0%
|
|
| Nikisi Kavwaya | 1 |
0%
|
|
| Nivelles | 6 |
0.1%
|
|
| Nsanda | 1 |
0%
|
|
| Nyirangongo | 1 |
0%
|
|
| ORLEAN | 1 |
0%
|
|
| OSHOWE | 1 |
0%
|
|
| OSHWE | 2 |
0%
|
|
| Oduku | 2 |
0%
|
|
| Omendjadi | 1 |
0%
|
|
| Onema | 1 |
0%
|
|
| Orleans | 1 |
0%
|
|
| Orp Jauche | 1 |
0%
|
|
| Ostende | 11 |
0.1%
|
|
| Ototo | 1 |
0%
|
|
| Ottenburg | 1 |
0%
|
|
| Ottignies Louvain La Neuve | 40 |
0.5%
|
|
| Oud Heverlee | 1 |
0%
|
|
| PANGI | 1 |
0%
|
|
| PANU | 1 |
0%
|
|
| PANZI | 1 |
0%
|
|
| PARIS | 25 |
0.3%
|
|
| PAYCONGILA | 1 |
0%
|
|
| PAYI KONGILA | 1 |
0%
|
|
| PAYKONGILA | 1 |
0%
|
|
| PELENDE | 1 |
0%
|
|
| PEROUDJA | 1 |
0%
|
|
| PINDI | 1 |
0%
|
|
| PLAISTOW | 1 |
0%
|
|
| POINTE NOIR | 3 |
0%
|
|
| POINTE NOIR | 3 |
0%
|
|
| POINTE NOIRE | 4 |
0%
|
|
| PONTOISE | 1 |
0%
|
|
| POPOKABAKA | 12 |
0.1%
|
|
| PORTSMOUTH | 1 |
0%
|
|
| POTO POTO | 2 |
0%
|
|
| PPOINTE NOIRE | 1 |
0%
|
|
| PROVINCE ORIENTALE | 2 |
0%
|
|
| Paris | 11 |
0.1%
|
|
| Pekin | 1 |
0%
|
|
| Pelende | 2 |
0%
|
|
| Peruwelz | 3 |
0%
|
|
| Poko | 2 |
0%
|
|
| Popo | 1 |
0%
|
|
| Popo Kabaka | 3 |
0%
|
|
| Quaregnon | 2 |
0%
|
|
| Quevaucamp | 2 |
0%
|
|
| READING | 3 |
0%
|
|
| ROCHEFORT | 1 |
0%
|
|
| ROME | 1 |
0%
|
|
| RUTSHURU | 1 |
0%
|
|
| RWENGERE | 1 |
0%
|
|
| Rabat | 1 |
0%
|
|
| Reggio Calabria | 1 |
0%
|
|
| Rhode Saint Genese | 1 |
0%
|
|
| Rome | 4 |
0%
|
|
| Rouen | 1 |
0%
|
|
| Ruashi | 1 |
0%
|
|
| Rutshuru | 1 |
0%
|
|
| SADI | 2 |
0%
|
|
| SAINT JEAN | 1 |
0%
|
|
| SELEMBAO | 13 |
0.1%
|
|
| SHEFFIELD | 3 |
0%
|
|
| SONABATA | 2 |
0%
|
|
| SONGO | 1 |
0%
|
|
| SONGOLOLO | 3 |
0%
|
|
| SOUTHALL | 1 |
0%
|
|
| SOUTHWARK | 9 |
0.1%
|
|
| SOWA | 1 |
0%
|
|
| SOYO | 4 |
0%
|
|
| STOKE ON TRENT | 3 |
0%
|
|
| STRATFORD ON AVON | 1 |
0%
|
|
| SUD KIVU | 2 |
0%
|
|
| SUTTON | 1 |
0%
|
|
| Saint Gilles | 2 |
0%
|
|
| Saint Josse Ten Noode | 2 |
0%
|
|
| Saint Trond | 1 |
0%
|
|
| Schaerbeek | 15 |
0.2%
|
|
| Sclessin | 2 |
0%
|
|
| Seraing | 4 |
0%
|
|
| Shabunda | 2 |
0%
|
|
| Silly | 1 |
0%
|
|
| Silverspring | 1 |
0%
|
|
| Soest | 1 |
0%
|
|
| Sonabata | 1 |
0%
|
|
| Songololo | 3 |
0%
|
|
| Spiennes | 1 |
0%
|
|
| Sterrebeek | 1 |
0%
|
|
| Stoumont | 1 |
0%
|
|
| Strombeek | 1 |
0%
|
|
| Suka Tembo | 1 |
0%
|
|
| TANDE GOMBE | 1 |
0%
|
|
| TCHANG OUAN | 1 |
0%
|
|
| TEL AVIV | 1 |
0%
|
|
| TEMBO | 5 |
0.1%
|
|
| THESSALONIQUE | 1 |
0%
|
|
| TONDO EQUATEUR | 1 |
0%
|
|
| TORANTO | 1 |
0%
|
|
| TOTSHI | 1 |
0%
|
|
| TOTTENHAM | 3 |
0%
|
|
| TOULON | 1 |
0%
|
|
| TOWER HAMLETS | 2 |
0%
|
|
| TSHELA | 5 |
0.1%
|
|
| TSHIIKAPA | 1 |
0%
|
|
| TSHIKAPA | 16 |
0.2%
|
|
| TSHIKAPA1 | 4 |
0%
|
|
| TSHILENGE | 2 |
0%
|
|
| TSHINSENDA | 1 |
0%
|
|
| TSHUMBE | 1 |
0%
|
|
| TSHUMBIRI | 1 |
0%
|
|
| TUAZA | 1 |
0%
|
|
| TUMILABI | 1 |
0%
|
|
| TUNIS | 2 |
0%
|
|
| Tenke | 1 |
0%
|
|
| Texas | 1 |
0%
|
|
| Thysville | 1 |
0%
|
|
| Tilleur | 1 |
0%
|
|
| Tomisa Ndodi | 1 |
0%
|
|
| Toronto | 1 |
0%
|
|
| Tournai | 1 |
0%
|
|
| Trois Ponts | 1 |
0%
|
|
| Tshela | 7 |
0.1%
|
|
| Tshikapa | 5 |
0.1%
|
|
| Tshilenge | 1 |
0%
|
|
| Tshimbulu | 2 |
0%
|
|
| Tshofa | 1 |
0%
|
|
| Tshumbe | 2 |
0%
|
|
| UVIRA | 1 |
0%
|
|
| Uccle | 8 |
0.1%
|
|
| Uvira | 2 |
0%
|
|
| VAKU | 1 |
0%
|
|
| VALLEY | 1 |
0%
|
|
| VANGA | 3 |
0%
|
|
| VARESA | 1 |
0%
|
|
| VILLE BANDUNDU | 1 |
0%
|
|
| VILLE DE BANDUNDU | 2 |
0%
|
|
| VILLE DE KANANGA | 6 |
0.1%
|
|
| VILLE DE KIKWIT | 6 |
0.1%
|
|
| VILLE DE KISANGANI | 1 |
0%
|
|
| VILLE DE LUBUMBASHI | 4 |
0%
|
|
| VILLE DE MATADI | 4 |
0%
|
|
| VILLE DE MBANDAKA | 2 |
0%
|
|
| VILLE DE MBUJI MAYI | 5 |
0.1%
|
|
| VILLE DE TSHELA | 1 |
0%
|
|
| VILLE DE TSHIKAPA | 7 |
0.1%
|
|
| VILLE BANDUNDU | 1 |
0%
|
|
| VILLE DE BANDUNDU | 3 |
0%
|
|
| VILLE DE BOMA | 1 |
0%
|
|
| VILLE DE GBADOLITE | 1 |
0%
|
|
| VILLE DE KANANGA | 2 |
0%
|
|
| VILLE DE KIKWIT | 3 |
0%
|
|
| VILLE DE LUBUMBASHI | 2 |
0%
|
|
| VILLE DE MATADI | 1 |
0%
|
|
| VILLE DE MBANDAKA | 1 |
0%
|
|
| Verviers | 23 |
0.3%
|
|
| Vilvorde | 4 |
0%
|
|
| Virton | 1 |
0%
|
|
| WALIKALE | 1 |
0%
|
|
| WALTHAM ABBAY | 1 |
0%
|
|
| WALTHAM FOREST | 3 |
0%
|
|
| WANDSWORTH | 4 |
0%
|
|
| WATIKENGO | 1 |
0%
|
|
| WATSHA | 1 |
0%
|
|
| WEBO NIAMA | 2 |
0%
|
|
| WEKEFIELD | 1 |
0%
|
|
| WEMBLEY | 1 |
0%
|
|
| WESTMINSTER | 8 |
0.1%
|
|
| WIJI | 1 |
0%
|
|
| WINDOEV | 1 |
0%
|
|
| WOLUWE SAINT LAMBERT | 1 |
0%
|
|
| Wallonie | 1 |
0%
|
|
| Walungo | 1 |
0%
|
|
| Wanga | 1 |
0%
|
|
| Waterloo | 10 |
0.1%
|
|
| Watermael Boitsfort | 1 |
0%
|
|
| Wavre | 3 |
0%
|
|
| Wemmel | 1 |
0%
|
|
| Wezembeek Oppem | 2 |
0%
|
|
| Woluwe | 2 |
0%
|
|
| Woluwe Saint Lambert | 3 |
0%
|
|
| Würzburg | 1 |
0%
|
|
| YAKOMA | 2 |
0%
|
|
| YANDONGI | 1 |
0%
|
|
| YANGALA | 1 |
0%
|
|
| YANGAMBE | 2 |
0%
|
|
| YAOUNDE | 2 |
0%
|
|
| YOLO - KALAMU | 1 |
0%
|
|
| YUMBI | 1 |
0%
|
|
| Yakamba | 1 |
0%
|
|
| Yangambi | 1 |
0%
|
|
| Yaosayo | 1 |
0%
|
|
| ZUNGU | 1 |
0%
|
|
| ZURICH | 1 |
0%
|
|
| Zeelik | 2 |
0%
|
|
| kikwit | 1 |
0%
|
|
| kinshasa | 2 |
0%
|
|
| .b | 1692 |
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.
Instructions aux enquêteurs
see AGEVEN - in CAPITAL letters
Texte de la post-question
FILTER: If DR CONGO => 304
If BELGIUM OR UNITED KINGDOM => 306
If ANOTHER COUNTRY => 307
If BELGIUM OR UNITED KINGDOM => 306
If ANOTHER COUNTRY => 307