Migrations between Africa and Europe - MAFE DR Congo (2009)
Belgium, Congo, Democratic Republic of the, United Kingdom, 2009 - 2010
Accéder aux données
ID Ined
IE0216B
DOI
https://doi.org/10.48756/ined-IE0216B-2307
Producteur(s)
BEAUCHEMIN Cris
Collections
Métadonnées
Créé le
Mar 04, 2022
Dernière modification
Jul 15, 2024
Consultations
434359
Téléchargements
3158
- 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
Region/province/district of this asset (q512)
Fichier de données: rdc_qb_assets
Aperçu
Valides:
1749
Valeurs manquantes:
1135
Type:
Discret
Décimale(s):
0
Longueur:
20
Intervalle:
101 - 1103
Format:
Numérique
Question(s) et instruction(s)
Question
512. In which region / province / district?
Modalités
| Valeur | Modalité | Cas | |
|---|---|---|---|
| 14 | GOMBE | 1 |
0%
|
| 101 | BANDALUNGWA | 13 |
0.5%
|
| 102 | BARUMBU | 4 |
0.1%
|
| 103 | BUMBU | 6 |
0.2%
|
| 104 | GOMBE | 16 |
0.6%
|
| 105 | KALAMU | 8 |
0.3%
|
| 106 | KASA-VUBU | 5 |
0.2%
|
| 107 | KIMBANSEKE | 3 |
0.1%
|
| 108 | KINSENSO | 4 |
0.1%
|
| 109 | KINSHASA | 1262 |
43.8%
|
| 110 | KINTAMBO | 7 |
0.2%
|
| 111 | LEMBA | 18 |
0.6%
|
| 112 | LIMETE | 19 |
0.7%
|
| 113 | LINGWALA | 2 |
0.1%
|
| 114 | MALUKU | 13 |
0.5%
|
| 115 | MAKALA | 1 |
0%
|
| 116 | MASINA | 17 |
0.6%
|
| 117 | MATETE | 11 |
0.4%
|
| 118 | MONT-NGAFULA | 46 |
1.6%
|
| 119 | NDJILI | 14 |
0.5%
|
| 120 | NGABA | 7 |
0.2%
|
| 121 | NGALIEMA | 28 |
1%
|
| 122 | NGIRI-NGIRI | 2 |
0.1%
|
| 123 | N'SELE | 29 |
1%
|
| 124 | SELEMBAO | 6 |
0.2%
|
| 201 | VILLE DE MATADI | 6 |
0.2%
|
| 202 | VILLE DE BOMA | 5 |
0.2%
|
| 203 | MOANDA | 2 |
0.1%
|
| 205 | SEKE-BANZA | 2 |
0.1%
|
| 208 | MBANZA-NGUNGU | 5 |
0.2%
|
| 209 | SONGOLOLO | 3 |
0.1%
|
| 210 | KASANGULU | 4 |
0.1%
|
| 211 | KIMVULA | 3 |
0.1%
|
| 301 | VILLE DE BANDUNDU | 9 |
0.3%
|
| 302 | VILLE DE KIKWIT | 5 |
0.2%
|
| 303 | FESHI | 2 |
0.1%
|
| 305 | KASONGO-LUNDA | 1 |
0%
|
| 306 | KENGE | 4 |
0.1%
|
| 307 | POPOKABAKA | 2 |
0.1%
|
| 308 | BAGATA | 2 |
0.1%
|
| 309 | BULUNGU | 3 |
0.1%
|
| 312 | MASI-MANIMBA | 3 |
0.1%
|
| 313 | INONGO | 1 |
0%
|
| 315 | KUTU | 2 |
0.1%
|
| 319 | KWAMOUTH | 1 |
0%
|
| 401 | VILLE DE MBANDAKA | 5 |
0.2%
|
| 402 | VILLE DE GBADOLITE | 1 |
0%
|
| 413 | LISALA | 1 |
0%
|
| 415 | BUSINGA | 2 |
0.1%
|
| 417 | YAKOMA | 1 |
0%
|
| 418 | BUDJALA | 1 |
0%
|
| 419 | GEMENA | 2 |
0.1%
|
| 421 | LIBENGE | 1 |
0%
|
| 423 | BOENDE | 2 |
0.1%
|
| 501 | VILLE DE KISANGANI | 4 |
0.1%
|
| 510 | NIANGARA | 2 |
0.1%
|
| 601 | VILLE DE GOMA | 20 |
0.7%
|
| 602 | VILLE DE BENI 1 | 1 |
0%
|
| 603 | VILLE DE BUTEMBO | 2 |
0.1%
|
| 605 | LUBERO | 1 |
0%
|
| 606 | MASISI | 2 |
0.1%
|
| 607 | NYIRANCONGO | 2 |
0.1%
|
| 608 | RUTSHURU | 3 |
0.1%
|
| 701 | VILLE DE BUKAVU | 6 |
0.2%
|
| 704 | KABARE | 4 |
0.1%
|
| 705 | KALEHE | 1 |
0%
|
| 708 | UVIRA | 1 |
0%
|
| 801 | VILLE DE KINDU | 1 |
0%
|
| 803 | KASONGO | 2 |
0.1%
|
| 804 | KIBOMBO | 2 |
0.1%
|
| 901 | VILLE DE LUBUMBASHI | 18 |
0.6%
|
| 903 | VILLE DE KOLWEZI | 1 |
0%
|
| 907 | KASENGA | 1 |
0%
|
| 913 | KABONGO | 1 |
0%
|
| 914 | KAMINA | 3 |
0.1%
|
| 916 | MALEMBA-NKULU | 1 |
0%
|
| 920 | KABALO | 1 |
0%
|
| 921 | KALEMIE | 1 |
0%
|
| 1001 | VILLE DE MBUJI-MAYI | 3 |
0.1%
|
| 1010 | LODJA | 7 |
0.2%
|
| 1011 | LOMELA | 2 |
0.1%
|
| 1013 | LUSAMBO | 1 |
0%
|
| 1018 | TSHILENGE | 6 |
0.2%
|
| 1101 | VILLE DE KANANGA | 6 |
0.2%
|
| 1102 | VILLE DE TSHIKAPA 1 | 14 |
0.5%
|
| 1105 | LUEBO | 1 |
0%
|
| 1106 | MWEKA | 4 |
0.1%
|
| 1109 | DIBAYA | 1 |
0%
|
| Sysmiss | 1135 |
Attention : les chiffres ci-dessus ne sont pas pondérés.
Instructions
see Codes of Regions
Description
Univers
If q20tot not in 0
If q510 in 99312 (DR Congo)
If q510 in 99312 (DR Congo)