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    Home / Central Data Catalog / LSMS / BFA_2014_EMC_V01_M / variable [F72]
lsms

Enquête Multisectorielle Continue 2014

Burkina Faso, 2014
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Reference ID
BFA_2014_EMC_v01_M
DOI
https://doi.org/10.48529/e39g-m952
Producer(s)
Institut National de la Statistique et de la Démographie
Collection(s)
Living Standards Measurement Study (LSMS) Fragility, Conflict and Violence
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 13, 2016
Last modified
Jan 30, 2020
Page views
341212
Downloads
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  • emc2014_p3_conso3mois_16032015
  • emc2014_p3_conso7jours_16032015
  • emc2014_p3_conso7nonalimjours_16032015
  • emc2014_p3_emploi_27022015
  • emc2014_p3_individu_27022015
  • emc2014_p3_prix_27022015
  • emc2014_p3_risques_27022015
  • emc2014_p3_sante_27022015
  • emc2014_p3_securitealimentaire_27022015
  • emc2014_p4_anthropometrie_27022015
  • emc2014_p4_conso3mois_10032015
  • emc2014_p4_conso3mois_16032015
  • emc2014_p4_conso7jours_10032015
  • emc2014_p4_conso7jours_16032015
  • emc2014_p4_conso7nonalimjours_10032015
  • emc2014_p4_conso7nonalimjours_16032015
  • emc2014_p4_education_27022015
  • emc2014_p4_emploi_27022015
  • emc2014_p4_epargnecredit_27022015
  • emc2014_p4_individu_27022015
  • emc2014_p4_prix_27022015
  • emc2014_p4_risque_27022015
  • emc2014_p4_securitealimentaire_27022015
  • emc2014_welfare

Province (province)

Data file: emc2014_p3_conso7jours_16032015

Overview

Valid: 164366
Invalid: 0
Type: Discrete
Decimal: 0
Start: 7
End: 8
Width: 2
Range: 1 - 45
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 BAM 2596
1.6%
2 BAZEGA 3793
2.3%
3 BOUGOURIBA 2480
1.5%
4 BOULGOU 6974
4.2%
5 BOULKIEMDE 6045
3.7%
6 COMOE 10495
6.4%
7 GANZOURGOU 4885
3%
8 GNAGNA 2393
1.5%
9 GOURMA 3703
2.3%
10 HOUET 12066
7.3%
11 KADIOGO 15595
9.5%
12 KENEDOUGOU 2794
1.7%
13 KOSSI 2323
1.4%
14 KOURITENGA 4306
2.6%
15 MOUHOUN 3367
2%
16 NAHOURI 3342
2%
17 NAMENTENGA 3098
1.9%
18 OUBRITENGA 3702
2.3%
19 OUDALAN 2201
1.3%
20 PASSORE 2669
1.6%
21 PONI 4436
2.7%
22 SANGUIE 3539
2.2%
23 SANMATENGA 6689
4.1%
24 SENO 3272
2%
25 SISSILI 2333
1.4%
26 SOUM 4385
2.7%
27 SOUROU 1868
1.1%
28 TAPOA 2284
1.4%
29 YATENGA 6200
3.8%
30 ZOUNDWEOGO 3852
2.3%
31 BALE 1998
1.2%
32 BANWA 2649
1.6%
33 IOBA 2976
1.8%
34 KOMANDJOARI 591
0.4%
35 KOMPIENGA 659
0.4%
36 KOULPELGO 2241
1.4%
37 KOURWEOGO 1870
1.1%
38 LERABA 2387
1.5%
39 LOROUM 1196
0.7%
40 NAYALA 1592
1%
41 NOUMBIEL 1550
0.9%
42 TUY 1837
1.1%
43 YAGHA 1732
1.1%
44 ZIRO 1503
0.9%
45 ZONDOMA 1900
1.2%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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