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    Home / Central Data Catalog / LSMS / BFA_2014_EMC_V01_M / variable [F81]
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
192440
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_p4_conso3mois_10032015

Overview

Valid: 135701
Invalid: 0
Type: Discrete
Decimal: 0
Start: 10
End: 11
Width: 2
Range: 1 - 45
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 BAM 2551
1.9%
2 BAZEGA 3032
2.2%
3 BOUGOURIBA 1657
1.2%
4 BOULGOU 6081
4.5%
5 BOULKIEMDE 4562
3.4%
6 COMOE 8519
6.3%
7 GANZOURGOU 4259
3.1%
8 GNAGNA 1538
1.1%
9 GOURMA 2913
2.1%
10 HOUET 10135
7.5%
11 KADIOGO 11878
8.8%
12 KENEDOUGOU 2322
1.7%
13 KOSSI 1684
1.2%
14 KOURITENGA 4257
3.1%
15 MOUHOUN 2889
2.1%
16 NAHOURI 2965
2.2%
17 NAMENTENGA 2739
2%
18 OUBRITENGA 2155
1.6%
19 OUDALAN 1986
1.5%
20 PASSORE 2415
1.8%
21 PONI 3192
2.4%
22 SANGUIE 1888
1.4%
23 SANMATENGA 6862
5.1%
24 SENO 2282
1.7%
25 SISSILI 2033
1.5%
26 SOUM 3608
2.7%
27 SOUROU 1525
1.1%
28 TAPOA 1910
1.4%
29 YATENGA 5854
4.3%
30 ZOUNDWEOGO 3313
2.4%
31 BALE 1943
1.4%
32 BANWA 1773
1.3%
33 IOBA 2459
1.8%
34 KOMANDJOARI 258
0.2%
35 KOMPIENGA 582
0.4%
36 KOULPELGO 2006
1.5%
37 KOURWEOGO 1665
1.2%
38 LERABA 1840
1.4%
39 LOROUM 1221
0.9%
40 NAYALA 1231
0.9%
41 NOUMBIEL 1133
0.8%
42 TUY 2003
1.5%
43 YAGHA 1235
0.9%
44 ZIRO 1384
1%
45 ZONDOMA 1964
1.4%
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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