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Response
Page 1 of 1
(285 of 285 records)
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# |
SurveyId |
DHS_CountryCode |
SurveyYear |
SurveyType |
SurveyStatus |
CountryName |
SurveyYearLabel |
SurveyNum |
IndicatorData |
RegionName |
SubregionName |
PublicationDate |
ReleaseDate |
SurveyCharacteristicIds |
Footnotes |
FieldworkStart |
FieldworkEnd |
ImplementingOrg |
NumberOfSamplePoints |
NumberofHouseholds |
UniverseOfWomen |
NumberOfWomen |
MinAgeWomen |
MaxAgeWomen |
UniverseOfMen |
NumberOfMen |
MinAgeMen |
MaxAgeMen |
NumberOfFacilities |
1 |
AF2015DHS
|
AF
|
2015
|
DHS
|
Completed
|
Afghanistan
|
2015
|
471
|
1
|
South & Southeast Asia
|
South Asia
|
2017-01-15
|
2017-02-15
|
92, 39, 6, 1, 101, 79, 31, 14, 57, 34, 17, 22, 20, 24, 21, 13, 36, 59, 3, 11, 26
|
|
2015-06-01
|
2016-02-01
|
|
950
|
24395
|
Ever Married Women
|
29461
|
15
|
49
|
Ever Married Men
|
10760
|
15
|
49
|
|
2 |
AF2018SPA
|
AF
|
2018
|
SPA
|
Completed
|
Afghanistan
|
2018-19
|
543
|
0
|
South & Southeast Asia
|
South Asia
|
2019-10-01
|
2020-02-25
|
26, 70
|
|
2018-11-01
|
2019-01-01
|
|
160
|
|
|
|
|
|
|
|
|
|
142
|
3 |
AL2008DHS
|
AL
|
2008
|
DHS
|
Completed
|
Albania
|
2008-09
|
327
|
1
|
North Africa/West Asia/Europe
|
Southern Europe
|
2010-03-01
|
2010-03-15
|
33, 10, 43, 41, 31, 22, 26, 24, 21, 59, 11, 34, 60, 14, 32, 16, 108, 69, 3, 67, 70, 79, 20, 85, 93
|
|
2008-10-01
|
2009-04-01
|
Institute of Statistics (INSTAT) and Institute of Public Health (IShP)
|
450
|
7999
|
All Women
|
7584
|
15
|
49
|
All Men
|
3013
|
15
|
49
|
|
4 |
AL2017DHS
|
AL
|
2017
|
DHS
|
Completed
|
Albania
|
2017-18
|
525
|
1
|
North Africa/West Asia/Europe
|
Southern Europe
|
2018-10-01
|
2019-01-11
|
135, 70, 93, 33, 41, 10, 43, 11, 34, 60, 67, 31, 68, 22, 79, 63, 32, 38, 69, 24, 21, 14, 59, 17, 36, 85, 6, 3, 26
|
|
2017-09-01
|
2017-12-01
|
The National Statistical Institute (INSAT)
|
715
|
15823
|
All Women
|
10861
|
15
|
49
|
All Men
|
6142
|
15
|
59
|
|
5 |
AO2006MIS
|
AO
|
2006
|
MIS
|
Completed
|
Angola
|
2006-07
|
282
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
2007-11-01
|
2008-02-27
|
41, 57, 36, 68, 63, 61, 26, 101, 79, 89, 9
|
|
2006-11-01
|
2007-04-01
|
COSEP, CONSAÚDE
|
120
|
2599
|
All Women
|
2973
|
15
|
49
|
|
|
|
|
|
6 |
AO2011MIS
|
AO
|
2011
|
MIS
|
Completed
|
Angola
|
2011
|
395
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
2011-12-01
|
2012-01-24
|
101, 79, 90, 41, 26, 57, 8, 17, 89
|
|
2011-01-01
|
2011-05-01
|
CONSAÚDE and COSEP
|
320
|
8030
|
All Women
|
8589
|
15
|
49
|
|
|
|
|
|
7 |
AO2015DHS
|
AO
|
2015
|
DHS
|
Completed
|
Angola
|
2015-16
|
477
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
2017-06-01
|
2017-06-30
|
91, 15, 59, 33, 31, 22, 32, 26, 24, 21, 14, 57, 20, 17, 34, 5, 6, 60, 3, 69, 79, 23, 41, 10, 70, 11, 1, 89, 104, 85
|
|
2015-11-01
|
2016-02-01
|
Instituto Nacional de Estatistica (INE)
|
627
|
16109
|
All Women
|
14379
|
15
|
49
|
All Men
|
5684
|
15
|
54
|
|
8 |
AM2005DHS
|
AM
|
2005
|
DHS
|
Completed
|
Armenia
|
2005
|
262
|
1
|
North Africa/West Asia/Europe
|
West Asia
|
2006-12-01
|
2006-12-01
|
16, 24, 21, 10, 22, 26, 14, 30, 13, 3, 20, 36, 34, 33, 41, 43, 75, 76, 93, 31, 79, 11, 101
|
|
2005-09-01
|
2005-12-01
|
National Statistic Service (NSS), MOH Center for Health Information and Statistics (MOH)
|
308
|
6707
|
All Women
|
6566
|
15
|
49
|
All Men
|
1447
|
15
|
49
|
|
9 |
AM2010DHS
|
AM
|
2010
|
DHS
|
Completed
|
Armenia
|
2010
|
354
|
1
|
North Africa/West Asia/Europe
|
West Asia
|
2012-02-01
|
2012-05-01
|
16, 10, 30, 68, 63, 3, 69, 93, 75, 76, 77, 79, 67, 5, 15, 31, 38, 24, 21, 11, 20, 22, 34, 26, 101
|
|
2010-10-01
|
2010-12-01
|
The National Statistical Service of The Republic of Armenia and the Ministry of Health
|
308
|
6700
|
All Women
|
5922
|
15
|
49
|
All Men
|
1584
|
15
|
49
|
|
10 |
AM2016DHS
|
AM
|
2016
|
DHS
|
Completed
|
Armenia
|
2015-16
|
492
|
1
|
North Africa/West Asia/Europe
|
West Asia
|
2017-08-01
|
2017-08-30
|
16, 33, 31, 22, 26, 38, 69, 24, 21, 17, 87, 94, 15, 41, 10, 11, 6, 101, 67, 79, 92, 14, 20, 30, 34, 36, 60, 3, 93
|
|
2015-12-01
|
2016-04-01
|
National Statistical Service(NSS)and the Ministry of Health (MOH)
|
313
|
7893
|
All Women
|
6116
|
15
|
49
|
All Men
|
2755
|
15
|
49
|
|
11 |
BD1999SPA
|
BD
|
1999
|
SPA
|
Completed
|
Bangladesh
|
1999-00
|
136
|
0
|
South & Southeast Asia
|
South Asia
|
2002-01-01
|
2002-01-01
|
26, 101
|
Data collected for women 10-49, indicators calculated for women 15-49
|
1999-09-01
|
1999-12-01
|
Mitra & Associates/ NIPORT
|
341
|
|
|
|
|
|
|
|
|
|
341
|
12 |
BD2000DHS
|
BD
|
2000
|
DHS
|
Completed
|
Bangladesh
|
1999-00
|
135
|
1
|
South & Southeast Asia
|
South Asia
|
2001-05-01
|
2001-05-01
|
10, 11, 21, 22, 26, 5, 3, 17, 108, 16, 20, 101
|
Data collected for women 10-49, indicators calculated for women 15-49
|
1999-11-01
|
2000-03-01
|
Mitra & Associates / NIPORT
|
341
|
9854
|
Ever Married Women
|
10544
|
10
|
49
|
Currently Married Men
|
2556
|
15
|
59
|
|
13 |
BD2004DHS
|
BD
|
2004
|
DHS
|
Completed
|
Bangladesh
|
2004
|
236
|
1
|
South & Southeast Asia
|
South Asia
|
2005-05-01
|
2005-05-01
|
24, 21, 10, 22, 26, 20, 13, 9, 3, 36, 2, 17, 34, 71, 32, 5, 11, 61, 79, 16, 101
|
Data collected for women 10-49, indicators calculated for women 15-49
|
2004-01-01
|
2004-05-01
|
Mitra & Associates
|
361
|
10500
|
Ever Married Women
|
11440
|
10
|
49
|
All Men
|
4297
|
15
|
54
|
|
14 |
BD2007DHS
|
BD
|
2007
|
DHS
|
Completed
|
Bangladesh
|
2007
|
287
|
1
|
South & Southeast Asia
|
South Asia
|
2009-03-01
|
2009-03-24
|
11, 22, 21, 36, 24, 34, 26, 20, 13, 60, 5, 10, 6, 2, 16, 79, 33, 3, 101
|
Data collected for women 10-49, indicators calculated for women 15-49
|
2007-03-01
|
2007-08-01
|
National Institute for Population Research and Training (NIPORT)
|
361
|
10400
|
Ever Married Women
|
10996
|
15
|
49
|
Ever Married Men
|
3771
|
15
|
54
|
|
15 |
BD2011DHS
|
BD
|
2011
|
DHS
|
Completed
|
Bangladesh
|
2011
|
349
|
1
|
South & Southeast Asia
|
South Asia
|
2013-01-01
|
2013-02-04
|
5, 41, 43, 46, 108, 22, 2, 15, 31, 68, 63, 24, 21, 14, 20, 17, 34, 13, 3, 10, 11, 61, 9, 26, 79, 101
|
|
2011-07-01
|
2011-12-01
|
National Institute of Population Research and Training (NIPORT) and Mitra and Associates of Dhaka
|
600
|
17141
|
Ever Married Women
|
17842
|
12
|
49
|
Ever Married Men
|
3997
|
15
|
54
|
|
16 |
BD2014SPA
|
BD
|
2014
|
SPA
|
Completed
|
Bangladesh
|
2014
|
441
|
0
|
South & Southeast Asia
|
South Asia
|
2016-03-01
|
2016-03-23
|
26, 78, 70
|
|
2014-06-01
|
2014-09-01
|
Associates for Community and Population Research (ACPR), National Institute for Population Research and Training (NIPORT)
|
1548
|
|
|
|
|
|
|
|
|
|
1548
|
17 |
BD2014DHS
|
BD
|
2014
|
DHS
|
Completed
|
Bangladesh
|
2014
|
461
|
1
|
South & Southeast Asia
|
South Asia
|
2016-03-01
|
2016-03-23
|
16, 2, 101, 31, 20, 22, 17, 13, 5, 3, 79, 10, 26, 24, 21, 107
|
|
2014-06-01
|
2014-11-01
|
National Institute of Population Research and Training (NIPORT) and Mitra and Associates of Dhaka
|
600
|
17300
|
Ever Married Women
|
17863
|
15
|
49
|
|
|
|
|
|
18 |
BD2017DHS
|
BD
|
2017
|
DHS
|
Completed
|
Bangladesh
|
2017-18
|
536
|
1
|
South & Southeast Asia
|
South Asia
|
2020-10-01
|
2020-12-14
|
38, 22, 92, 101, 31, 10, 43, 46, 9, 2, 41, 68, 79, 63, 69, 24, 21, 20, 17, 60, 3, 26, 107, 120
|
|
2017-10-01
|
2018-03-01
|
Mitra and Associates (MA)
|
672
|
19457
|
Ever Married Women
|
20127
|
15
|
49
|
|
|
|
|
|
19 |
BD2017SPA
|
BD
|
2017
|
SPA
|
Completed
|
Bangladesh
|
2017
|
531
|
0
|
South & Southeast Asia
|
South Asia
|
2020-02-01
|
2020-03-06
|
70, 26
|
|
2017-08-01
|
2017-09-01
|
Associates for Community and Population Research (ACPR), National Institute for Population Research and Training (NIPORT)
|
1600
|
|
|
|
|
|
|
|
|
|
1524
|
20 |
BD2022DHS
|
BD
|
2022
|
DHS
|
Completed
|
Bangladesh
|
2022
|
584
|
1
|
South & Southeast Asia
|
South Asia
|
2024-01-15
|
2024-09-09
|
108, 134, 33, 10, 43, 22, 70, 79, 46, 92, 26, 69, 30, 94, 34, 13, 107, 9, 114, 16, 31, 76, 24, 21, 57, 20, 60, 3, 120
|
|
2022-08-01
|
2022-12-01
|
NIPORT
Mitra and Associates
|
675
|
30018
|
Ever Married Women
|
30078
|
15
|
49
|
|
|
|
|
|
21 |
BJ1996DHS
|
BJ
|
1996
|
DHS
|
Completed
|
Benin
|
1996
|
87
|
1
|
Sub-Saharan Africa
|
Western Africa
|
1997-04-01
|
1997-04-01
|
1, 2, 21, 24, 11, 32, 20, 13, 26, 101, 17, 79, 10
|
|
1996-06-01
|
1996-08-01
|
Institute National de la Statistique
|
200
|
4499
|
All Women
|
5491
|
15
|
49
|
All Men
|
1535
|
20
|
64
|
200
|
22 |
BJ2001DHS
|
BJ
|
2001
|
DHS
|
Completed
|
Benin
|
2001
|
211
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2002-06-01
|
2002-06-01
|
11, 24, 20, 14, 3, 34, 41, 101, 79, 33, 31, 13, 21, 15, 10, 26, 4, 8, 2
|
|
2001-08-01
|
2001-11-01
|
Institut National de la Statistique et de l'Analyse Economique
|
247
|
5769
|
All Women
|
6219
|
15
|
49
|
All Men
|
2709
|
15
|
64
|
247
|
23 |
BJ2012DHS
|
BJ
|
2012
|
DHS
|
Completed
|
Benin
|
2011-12
|
420
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2013-10-01
|
2014-02-11
|
20, 17, 43, 23, 69, 108, 41, 11, 10, 60, 26, 79, 89, 39, 5, 4, 59, 14, 57, 22, 3, 34, 31, 63, 24, 21, 90, 70, 104
|
The HIV Test Data were not scrambled, and are therefore not available for analysis.
|
2011-12-01
|
2012-03-01
|
The Institut National de l’Analyse Économique (INSAE), of the Ministry of Plan
|
750
|
17422
|
All Women
|
16599
|
15
|
49
|
All Men
|
5180
|
15
|
64
|
|
24 |
BJ2017DHS
|
BJ
|
2017
|
DHS
|
Completed
|
Benin
|
2017-18
|
491
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2019-04-01
|
2019-04-02
|
6, 1, 67, 80, 90, 89, 108, 5, 11, 15, 41, 10, 43, 68, 70, 79, 26, 31, 22, 76, 63, 69, 14, 59, 20, 17, 34, 60, 3, 24, 21, 92
|
|
2017-11-01
|
2018-02-01
|
Institut National de la Statistique et de l’Analyse Économique (INSAE)
|
560
|
14156
|
All Women
|
15928
|
15
|
49
|
All Men
|
7595
|
15
|
64
|
|
25 |
BO2008DHS
|
BO
|
2008
|
DHS
|
Completed
|
Bolivia
|
2008
|
319
|
1
|
Latin America & Caribbean
|
South America
|
2009-10-01
|
2009-12-30
|
32, 11, 41, 10, 22, 6, 1, 33, 34, 24, 21, 14, 13, 16, 67, 31, 101, 36, 20, 79, 69, 26, 3, 85
|
|
2008-02-01
|
2008-06-01
|
Instituto Nacional de Estadistica, Ministerio de Salud y Deportes, Programa Reforma de Salud e Instituto Nacional de Estadística
|
1000
|
19564
|
All Women
|
16939
|
15
|
49
|
All Men
|
6054
|
15
|
64
|
|
26 |
BF1993DHS
|
BF
|
1993
|
DHS
|
Completed
|
Burkina Faso
|
1993
|
42
|
1
|
Sub-Saharan Africa
|
Western Africa
|
1994-06-01
|
1994-06-01
|
2, 11, 21, 24, 26, 101, 10, 74
|
|
1992-12-01
|
1993-03-01
|
Institut National de la Statistique et de la Démographie (INSD)
|
230
|
5143
|
All Women
|
6354
|
15
|
49
|
All Men
|
1845
|
18
|
|
222
|
27 |
BF1999DHS
|
BF
|
1999
|
DHS
|
Completed
|
Burkina Faso
|
1998-99
|
116
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2000-05-01
|
2000-05-01
|
1, 4, 11, 21, 24, 26, 101, 10
|
|
1998-11-01
|
1999-03-01
|
Institut National de la Statistique et de la Démographie (INSD)
|
210
|
4812
|
All Women
|
6445
|
15
|
49
|
All Men
|
2641
|
15
|
59
|
|
28 |
BF2003DHS
|
BF
|
2003
|
DHS
|
Completed
|
Burkina Faso
|
2003
|
230
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2004-09-01
|
2004-09-01
|
4, 31, 14, 17, 36, 57, 34, 22, 41, 24, 23, 10, 11, 13, 59, 1, 79, 101, 104, 33, 3, 21, 15, 26
|
|
2003-06-01
|
2003-11-01
|
Institut National de la Statistique et de la Démographie (INSD)
|
400
|
9097
|
All Women
|
12477
|
15
|
49
|
All Men
|
3605
|
15
|
59
|
|
29 |
BF2010DHS
|
BF
|
2010
|
DHS
|
Completed
|
Burkina Faso
|
2010
|
329
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2012-04-01
|
2012-10-08
|
41, 24, 21, 23, 6, 4, 1, 5, 59, 69, 26, 75, 76, 20, 22, 17, 34, 13, 3, 79, 11, 104, 39, 10, 31, 14, 57, 33, 90, 89, 101
|
|
2010-05-01
|
2011-01-01
|
The Institut National de la Statistique et de la Démographie (INSD), of the Ministry of Economy and Plan (MOEP) in collaboration with the Ministry of Health (MOH)
|
574
|
14424
|
All Women
|
17087
|
15
|
49
|
All Men
|
7307
|
15
|
59
|
|
30 |
BF2014MIS
|
BF
|
2014
|
MIS
|
Completed
|
Burkina Faso
|
2014
|
481
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2015-07-01
|
2015-10-16
|
41, 15, 79, 8, 57, 90, 89, 26, 101
|
|
2014-09-01
|
2014-10-01
|
The National Institute of Statistics and Demography (Institute National de la Statistique et de la Demographie - INSD)
|
162
|
6448
|
All Women
|
8111
|
15
|
49
|
|
|
|
|
|
31 |
BF2017MIS
|
BF
|
2017
|
MIS
|
Completed
|
Burkina Faso
|
2017-18
|
526
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2018-12-01
|
2019-07-08
|
41, 90, 89, 101, 92, 26, 57
|
|
2017-11-01
|
2018-03-01
|
Institute of Public Health (IPH) and Institute of Statistics (INSTAT)
|
252
|
6322
|
All Women
|
7628
|
15
|
49
|
|
|
|
|
|
32 |
BF2021DHS
|
BF
|
2021
|
DHS
|
Completed
|
Burkina Faso
|
2021
|
562
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2023-08-15
|
2023-09-07
|
22, 31, 16, 33, 76, 79, 69, 24, 21, 57, 59, 20, 60, 34, 3, 110, 124, 134, 41, 10, 70, 39, 89, 11, 5, 6, 4, 1, 26, 90, 92, 14, 30, 106, 67
|
|
2021-07-01
|
2021-12-01
|
Burkina Faso National Institute of Statistics and Demography (Institut National de la Statistique et de la Démographie - INSD)
|
514
|
13251
|
All Women
|
17659
|
15
|
49
|
All Men
|
7720
|
15
|
59
|
|
33 |
BU2010DHS
|
BU
|
2010
|
DHS
|
Completed
|
Burundi
|
2010
|
346
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2012-05-01
|
2012-07-27
|
1, 31, 14, 57, 59, 20, 22, 17, 34, 13, 5, 3, 41, 10, 26, 69, 11, 24, 21, 23, 79, 101, 104
|
|
2010-08-01
|
2011-01-01
|
Institut de Statistiques et d'Études Économiques (ISTEEBU)
|
376
|
8596
|
All Women
|
9389
|
15
|
49
|
All Men
|
4280
|
15
|
59
|
|
34 |
BU2012MIS
|
BU
|
2012
|
MIS
|
Completed
|
Burundi
|
2012
|
446
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2013-06-01
|
2013-09-03
|
26, 20, 101, 57, 15, 41, 79, 90, 89, 119
|
|
2012-11-01
|
2013-01-01
|
Institut National de Statistique et d’Études Économiques (ISTEEBU)
|
200
|
4866
|
All Women
|
5149
|
15
|
49
|
|
|
|
|
|
35 |
BU2016DHS
|
BU
|
2016
|
DHS
|
Completed
|
Burundi
|
2016-17
|
463
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2017-12-01
|
2018-04-05
|
26, 45, 80, 108, 91, 94, 70, 67, 5, 1, 33, 32, 39, 69, 57, 59, 20, 17, 34, 13, 4, 60, 68, 15, 41, 10, 24, 21, 23, 11, 6, 14, 104, 74, 79, 92, 3, 31, 22, 124, 89, 119
|
|
2016-10-01
|
2017-02-01
|
Institut de Statistiques et d’Etudes Economiques du Burundi (ISTEEBU)
|
554
|
15977
|
All Women
|
17269
|
15
|
49
|
All Men
|
7552
|
15
|
59
|
|
36 |
KH2000DHS
|
KH
|
2000
|
DHS
|
Completed
|
Cambodia
|
2000
|
140
|
1
|
South & Southeast Asia
|
Southeast Asia
|
2001-06-01
|
2001-06-01
|
1, 3, 6, 15, 21, 24, 26, 61, 41, 10, 20, 31, 101, 33, 16, 14, 13
|
|
2000-02-01
|
2000-07-01
|
National Institute of Statistics/Ministry of Health
|
|
12236
|
All Women
|
15351
|
15
|
49
|
|
|
|
|
|
37 |
KH2005DHS
|
KH
|
2005
|
DHS
|
Completed
|
Cambodia
|
2005
|
257
|
1
|
South & Southeast Asia
|
Southeast Asia
|
2006-12-01
|
2006-12-01
|
16, 24, 21, 6, 1, 3, 23, 10, 11, 15, 31, 14, 34, 57, 17, 36, 13, 61, 41, 59, 20, 79, 101, 26, 33, 88, 104
|
|
2005-09-01
|
2006-03-01
|
Ministry of Planning/National Institute of Statistics
|
557
|
14243
|
All Women
|
16823
|
15
|
49
|
All Men
|
6731
|
15
|
49
|
|
38 |
KH2010DHS
|
KH
|
2010
|
DHS
|
Completed
|
Cambodia
|
2010
|
310
|
1
|
South & Southeast Asia
|
Southeast Asia
|
2011-09-01
|
2011-10-24
|
32, 16, 15, 41, 10, 31, 22, 26, 38, 24, 21, 14, 11, 20, 34, 13, 1, 3, 17, 69, 101, 79
|
A couples dataset could not be generated since the household line number of the wife/partner (used to create variable MV034 and to link the man with his wife/partner) was not recorded in the Man’s Questionnaire.
|
2010-07-01
|
2011-01-01
|
National Institute of Statistics (NIS)
|
611
|
15667
|
All Women
|
18754
|
15
|
49
|
All Men
|
8239
|
15
|
49
|
|
39 |
KH2014DHS
|
KH
|
2014
|
DHS
|
Completed
|
Cambodia
|
2014
|
464
|
1
|
South & Southeast Asia
|
Southeast Asia
|
2015-09-01
|
2015-10-20
|
22, 11, 26, 31, 38, 69, 24, 21, 14, 20, 17, 34, 13, 87, 15, 16, 41, 10, 32, 6, 1, 101, 79, 33, 3, 85, 80, 103
|
|
2014-06-01
|
2014-12-01
|
National Institute of Statistics (NIS – Ministry of Planning) in collaboration with the Ministry of Health (MoH)).
|
611
|
15825
|
All Women
|
17578
|
15
|
49
|
All Men
|
5190
|
15
|
49
|
|
40 |
KH2021DHS
|
KH
|
2021
|
DHS
|
Completed
|
Cambodia
|
2021-22
|
558
|
1
|
South & Southeast Asia
|
Southeast Asia
|
2023-03-15
|
2023-04-04
|
17, 10, 1, 16, 33, 31, 22, 74, 79, 92, 69, 24, 21, 14, 59, 11, 20, 60, 30, 34, 3, 70, 6, 134, 26, 13, 67, 85, 107
|
|
2021-09-01
|
2022-02-01
|
National Institute of Statistics (NIS)
|
674
|
20806
|
All Women
|
19496
|
15
|
49
|
All Men
|
8825
|
15
|
49
|
|
41 |
CM1991DHS
|
CM
|
1991
|
DHS
|
Completed
|
Cameroon
|
1991
|
38
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
1992-12-01
|
1992-12-01
|
2, 12, 10, 61, 26, 11, 101
|
|
1991-04-01
|
1991-09-01
|
Ministère du Plan et de l’Aménagement du Territoire
|
149
|
3538
|
All Women
|
3871
|
15
|
49
|
Husbands
|
814
|
|
|
149
|
42 |
CM1998DHS
|
CM
|
1998
|
DHS
|
Completed
|
Cameroon
|
1998
|
101
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
1999-03-01
|
1999-03-01
|
1, 11, 21, 24, 14, 16, 101, 10, 26
|
|
1998-02-01
|
1998-06-01
|
Bureau Central des Recensements et Études de Population
|
203
|
4697
|
All Women
|
5501
|
15
|
49
|
All Men
|
2562
|
15
|
59
|
|
43 |
CM2004DHS
|
CM
|
2004
|
DHS
|
Completed
|
Cameroon
|
2004
|
232
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
2005-06-01
|
2005-06-01
|
57, 34, 16, 41, 20, 33, 101, 24, 21, 23, 15, 31, 14, 11, 13, 4, 1, 26, 6, 10, 59, 3, 79, 104
|
|
2004-02-01
|
2004-08-01
|
Institut National de la Statistique
|
466
|
10462
|
All Women
|
10656
|
15
|
49
|
All Men
|
5280
|
15
|
59
|
|
44 |
CM2011DHS
|
CM
|
2011
|
DHS
|
Completed
|
Cameroon
|
2011
|
337
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
2012-09-01
|
2012-12-10
|
24, 21, 23, 11, 39, 69, 16, 15, 10, 31, 32, 38, 14, 57, 59, 34, 13, 5, 6, 33, 1, 3, 26, 20, 87, 101, 41, 80, 79, 89, 85, 104
|
|
2011-01-01
|
2011-08-01
|
Institut National de la Statistique (INS)
|
580
|
14214
|
All Women
|
15426
|
15
|
49
|
All Men
|
7191
|
15
|
59
|
|
45 |
CM2018DHS
|
CM
|
2018
|
DHS
|
Completed
|
Cameroon
|
2018
|
511
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
2020-02-01
|
2020-06-10
|
23, 16, 100, 70, 89, 11, 26, 68, 91, 104, 33, 41, 10, 24, 21, 34, 6, 1, 92, 79, 110
|
|
2018-06-01
|
2018-12-01
|
National Institute of Statistics (NIS)
|
470
|
11710
|
All Women
|
13527
|
15
|
49
|
All Men
|
6978
|
15
|
64
|
|
46 |
CM2022MIS
|
CM
|
2022
|
MIS
|
Completed
|
Cameroon
|
2022
|
563
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
2023-10-15
|
2023-10-27
|
70, 92, 26, 57, 89, 41, 106
|
|
2022-08-01
|
2022-11-01
|
National Institute of Statistics (NIS)
|
444
|
6031
|
All Women
|
6532
|
15
|
49
|
|
|
|
|
|
47 |
CV2005DHS
|
CV
|
2005
|
DHS
|
Completed
|
Cape Verde
|
2005
|
303
|
0
|
Sub-Saharan Africa
|
Western Africa
|
2008-06-01
|
2009-02-03
|
11, 24, 21, 23, 16, 26, 15, 41, 6, 34, 69, 101, 33, 3, 79, 104
|
|
2005-07-01
|
2005-12-01
|
Instituto Nacional de Estadistica, Praia, Cabo Verde
|
150
|
5712
|
All Women
|
5505
|
15
|
49
|
All Men
|
2644
|
15
|
59
|
|
48 |
CF1994DHS
|
CF
|
1994
|
DHS
|
Completed
|
Central African Republic
|
1994-95
|
66
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
1995-12-01
|
1995-12-01
|
1, 2, 4, 11, 21, 24, 14, 26, 10, 101, 61, 3
|
|
1994-09-01
|
1995-03-01
|
Direction des Statistiques Démographiques et Sociales
|
231
|
5551
|
All Women
|
5884
|
15
|
49
|
All Men
|
1729
|
15
|
59
|
231
|
49 |
TD2014DHS
|
TD
|
2014
|
DHS
|
Completed
|
Chad
|
2014-15
|
465
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
2016-05-01
|
2016-07-11
|
10, 33, 67, 32, 39, 34, 5, 6, 4, 1, 101, 104, 24, 21, 23, 11, 3, 85, 79, 80, 26, 57
|
|
2014-10-01
|
2015-04-01
|
Institut National de la Statistique, des Études Économique et Démographiques (INSEED)
|
626
|
17233
|
All Women
|
17719
|
15
|
49
|
All Men
|
5248
|
15
|
59
|
|
50 |
CO2010DHS
|
CO
|
2010
|
DHS
|
Completed
|
Colombia
|
2010
|
381
|
1
|
Latin America & Caribbean
|
South America
|
2011-02-01
|
2011-03-17
|
10, 22, 26, 24, 21, 34, 33, 20, 79, 69, 94, 70, 67, 6, 32, 17, 16, 5, 31, 76, 3, 85, 57
|
Other Data (COOD60FL.ZIP) - Contains data collected on Cytology and the Elderly.
|
2009-11-01
|
2010-11-01
|
PROFAMILIA
|
5000
|
51447
|
All Women
|
53521
|
13
|
49
|
|
|
|
|
|
51 |
KM2012DHS
|
KM
|
2012
|
DHS
|
Completed
|
Comoros
|
2012
|
443
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2014-02-01
|
2014-06-05
|
11, 10, 31, 32, 39, 24, 21, 14, 57, 8, 20, 22, 17, 34, 13, 5, 6, 1, 3, 101, 26, 33, 69, 59, 79
|
|
2012-08-01
|
2012-12-01
|
Direction General de la Statistique et de la Prospective (DGSP)
|
252
|
4482
|
All Women
|
5329
|
15
|
49
|
All Men
|
2167
|
15
|
59
|
|
52 |
CD2007DHS
|
CD
|
2007
|
DHS
|
Completed
|
Congo Democratic Republic
|
2007
|
239
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
2008-08-01
|
2008-08-29
|
37, 34, 6, 57, 79, 94, 41, 59, 101, 24, 21, 23, 10, 31, 32, 26, 14, 11, 20, 13, 5, 1, 39, 104, 33, 3
|
|
2007-01-01
|
2007-08-01
|
Under the direction of the Ministry of Planning
|
400
|
8886
|
All Women
|
9995
|
15
|
49
|
All Men
|
4757
|
15
|
59
|
|
53 |
CD2013DHS
|
CD
|
2013
|
DHS
|
Completed
|
Congo Democratic Republic
|
2013-14
|
421
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
2014-09-01
|
2014-10-03
|
15, 41, 23, 10, 6, 1, 11, 17, 79, 31, 67, 32, 26, 24, 21, 14, 57, 20, 34, 5, 3, 87, 101, 69, 38, 51, 33, 90, 89, 80, 85, 96, 104
|
CDOB61FL.ZIP = Polio Serology Data and Hepatitis B Data
|
2013-08-01
|
2014-02-01
|
Ministry of Planning
|
540
|
18171
|
All Women
|
18827
|
15
|
49
|
All Men
|
8656
|
15
|
59
|
|
54 |
CD2017SPA
|
CD
|
2017
|
SPA
|
Completed
|
Congo Democratic Republic
|
2017-18
|
538
|
0
|
Sub-Saharan Africa
|
Middle Africa
|
2019-01-01
|
2019-03-22
|
78, 26
|
|
2017-10-01
|
2018-04-01
|
Kinshasa School of Public Health (KSPH)
|
1412
|
|
|
|
|
|
|
|
|
|
1380
|
55 |
CI1994DHS
|
CI
|
1994
|
DHS
|
Completed
|
Cote d'Ivoire
|
1994
|
62
|
1
|
Sub-Saharan Africa
|
Western Africa
|
1994-12-01
|
1994-12-01
|
1, 2, 11, 21, 26, 10, 101
|
|
1994-06-01
|
1994-11-01
|
Institut National de la Statistique (INS)
|
246
|
5935
|
All Women
|
8099
|
15
|
49
|
All Men
|
2552
|
15
|
59
|
245
|
56 |
CI1998DHS
|
CI
|
1998
|
DHS
|
Completed
|
Cote d'Ivoire
|
1998-99
|
106
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2001-12-01
|
2001-12-01
|
21, 24, 10, 11, 26, 4, 101
|
|
1998-09-01
|
1999-03-01
|
Institut National de la Statistique (INS)
|
140
|
2122
|
All Women
|
3040
|
15
|
49
|
All Men
|
886
|
15
|
59
|
|
57 |
CI2012DHS
|
CI
|
2012
|
DHS
|
Completed
|
Cote d'Ivoire
|
2011-12
|
311
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2013-06-01
|
2013-09-12
|
6, 89, 10, 41, 39, 31, 5, 79, 32, 14, 34, 33, 57, 20, 17, 13, 3, 59, 4, 26, 16, 69, 75, 76, 11, 101, 1, 24, 21, 23, 90, 104
|
A man’s survey will be carried out in one half of the sample, where HIV, anemia and parasitemia testing will also be part of the DHS.
|
2011-12-01
|
2012-05-01
|
Ministère de la Santé et de la Lutte contre le Sida (MSLS), Institut National de la Statistique(INS)
|
352
|
9686
|
All Women
|
10060
|
15
|
49
|
All Men
|
5135
|
15
|
59
|
|
58 |
CI2021DHS
|
CI
|
2021
|
DHS
|
Completed
|
Cote d'Ivoire
|
2021
|
559
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2023-09-14
|
2023-09-14
|
15, 70, 26, 16, 33, 31, 22, 76, 79, 92, 69, 24, 21, 14, 57, 59, 11, 20, 60, 30, 34, 3, 39, 90, 124, 134, 68, 75, 63, 72, 32, 108, 94, 41, 67, 80, 89, 5, 6, 1, 13, 10, 108
|
|
2021-09-01
|
2021-12-01
|
Institut Nationale de la Statistique (INS)
|
539
|
14766
|
All Women
|
14877
|
15
|
49
|
All Men
|
7591
|
15
|
59
|
|
59 |
DR2007DHS
|
DR
|
2007
|
DHS
|
Completed
|
Dominican Republic
|
2007
|
291
|
1
|
Latin America & Caribbean
|
Caribbean
|
2008-05-01
|
2008-06-18
|
24, 21, 23, 1, 10, 20, 6, 38, 36, 11, 34, 75, 76, 101, 69, 60, 26, 59, 33, 31, 13, 3, 79, 104
|
|
2007-03-01
|
2007-08-01
|
Center for Demographic Studies (CESDEM)
|
1428
|
32431
|
All Women
|
27195
|
15
|
49
|
All Men
|
27975
|
15
|
59
|
|
60 |
DR2013DHS
|
DR
|
2013
|
DHS
|
Completed
|
Dominican Republic
|
2013
|
439
|
1
|
Latin America & Caribbean
|
Caribbean
|
2014-10-01
|
2014-10-22
|
38, 79, 10, 24, 21, 23, 11, 75, 76, 78, 101, 26, 87, 33, 68, 63, 69, 34, 36, 6, 60, 3, 104
|
|
2013-07-01
|
2013-10-01
|
Centro de Estudios Sociales y Demográficos (CESDEM)
|
524
|
11464
|
All Women
|
9372
|
15
|
49
|
All Men
|
10306
|
15
|
59
|
|
61 |
DR2013SPE
|
DR
|
2013
|
SPE
|
Completed
|
Dominican Republic
|
2013
|
490
|
0
|
Latin America & Caribbean
|
Caribbean
|
2015-01-01
|
2015-02-06
|
11, 75, 33, 10, 76, 63, 26, 69, 60, 78, 38, 24, 21, 23, 34, 36, 6, 3, 68, 79, 104
|
|
2013-07-01
|
2013-10-01
|
Centro de Estudios Sociales y Demográficos (CESDEM)
|
|
2569
|
All Women
|
1707
|
15
|
49
|
All Men
|
2101
|
15
|
59
|
|
62 |
EG1992DHS
|
EG
|
1992
|
DHS
|
Completed
|
Egypt
|
1992
|
45
|
1
|
North Africa/West Asia/Europe
|
North Africa
|
1993-11-01
|
1993-11-01
|
12, 22, 79, 60, 26, 11, 10, 17, 101
|
|
1992-11-01
|
1993-02-01
|
National Population Council
|
546
|
10760
|
Ever Married Women
|
9864
|
15
|
49
|
Husbands
|
2466
|
|
|
|
63 |
EG1995DHS
|
EG
|
1995
|
DHS
|
Completed
|
Egypt
|
1995
|
71
|
1
|
North Africa/West Asia/Europe
|
North Africa
|
1996-09-01
|
1996-09-01
|
3, 4, 22, 16, 32, 26, 10, 101, 6, 5, 79
|
|
1995-11-01
|
1996-01-01
|
National Population Council
|
934
|
15567
|
Ever Married Women
|
14779
|
15
|
49
|
|
|
|
|
|
64 |
EG2000DHS
|
EG
|
2000
|
DHS
|
Completed
|
Egypt
|
2000
|
145
|
1
|
North Africa/West Asia/Europe
|
North Africa
|
2001-01-01
|
2001-01-01
|
4, 22, 15, 13, 3, 34, 26, 32, 20, 41, 79, 53, 101, 14, 10, 5
|
|
2000-02-01
|
2000-04-01
|
Nat. Population Council
|
1000
|
16957
|
Ever Married Women
|
15573
|
15
|
49
|
|
|
|
|
|
65 |
EG2003DHS
|
EG
|
2003
|
DHS
|
Completed
|
Egypt
|
2003
|
240
|
1
|
North Africa/West Asia/Europe
|
North Africa
|
2004-01-01
|
2004-01-01
|
22, 79, 101, 10, 14, 21, 20, 4, 26
|
|
2003-05-01
|
2003-06-01
|
El-Zanaty and Associates
|
490
|
10089
|
Ever Married Women
|
9159
|
15
|
49
|
|
|
|
|
|
66 |
EG2005DHS
|
EG
|
2005
|
DHS
|
Completed
|
Egypt
|
2005
|
272
|
1
|
North Africa/West Asia/Europe
|
North Africa
|
2006-02-01
|
2006-02-01
|
36, 4, 34, 41, 101, 21, 15, 10, 22, 26, 14, 5, 69, 53, 6, 3, 79
|
|
2005-04-01
|
2005-06-01
|
Ministry of Health and Population, National Population Council, El-Zanaty and Associates
|
682
|
21972
|
Ever Married Women
|
19474
|
15
|
49
|
|
|
|
|
|
67 |
EG2008DHS
|
EG
|
2008
|
DHS
|
Completed
|
Egypt
|
2008
|
294
|
1
|
North Africa/West Asia/Europe
|
North Africa
|
2009-03-01
|
2009-06-19
|
58, 13, 14, 32, 3, 19, 108, 21, 34, 4, 17, 43, 10, 22, 38, 101, 69, 20, 26, 63
|
Health Issues Subsample: Data Type: Household Raw & Individual Raw - All women age 15-59 interviewed: 6578, All men age 15-59 interviewed: 5430, Households interviewed: 4662. Sub-survey on health for men and women: Data Type: Other Data
|
2008-03-01
|
2008-06-01
|
Ministry of Health and Population/El-Zanaty and Associates
|
610
|
18968
|
Ever Married Women
|
16527
|
15
|
49
|
|
|
|
|
|
68 |
EG2014DHS
|
EG
|
2014
|
DHS
|
Completed
|
Egypt
|
2014
|
397
|
1
|
North Africa/West Asia/Europe
|
North Africa
|
2015-05-01
|
2015-05-11
|
16, 22, 10, 32, 4, 26, 85, 31, 14, 34, 67, 5, 6, 69, 101, 20, 17, 13, 15, 41, 33, 80, 3, 24, 21
|
|
2014-04-01
|
2014-06-01
|
Ministry of Health and Population, National Population Council, El-Zanaty and Associates
|
904
|
28175
|
Ever Married Women
|
21762
|
15
|
49
|
|
|
|
|
|
69 |
EK2011DHS
|
EK
|
2011
|
DHS
|
Completed
|
Equatorial Guinea
|
2011
|
314
|
0
|
Sub-Saharan Africa
|
Middle Africa
|
2012-11-01
|
2014-02-17
|
39, 14, 20, 22, 36, 3, 69, 75, 76, 33, 15, 41, 10, 31, 24, 21, 23, 57, 59, 11, 34, 13, 1, 79, 101, 104, 26, 6, 89
|
|
2011-07-01
|
2011-11-01
|
Ministerio de Sanidad y Biennestar Social & Ministerio de Planificacion
|
200
|
4223
|
All Women
|
3575
|
15
|
49
|
All Men
|
1825
|
15
|
59
|
|
70 |
ER2002DHS
|
ER
|
2002
|
DHS
|
Completed
|
Eritrea
|
2002
|
170
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2003-05-01
|
2003-05-01
|
4, 13, 57, 17, 10, 14, 79, 101, 5, 3, 60, 20, 21, 26
|
|
2002-03-01
|
2002-07-01
|
National Statistics and Evaluation Office
|
368
|
9389
|
All Women
|
8754
|
15
|
49
|
|
|
|
|
|
71 |
SZ2006DHS
|
SZ
|
2006
|
DHS
|
Completed
|
Eswatini
|
2006-07
|
259
|
1
|
Sub-Saharan Africa
|
Southern Africa
|
2008-05-01
|
2008-06-10
|
81, 33, 36, 53, 79, 69, 41, 24, 21, 23, 15, 10, 31, 22, 26, 14, 11, 20, 17, 13, 5, 1, 3, 88, 101, 34, 57, 37, 104, 59, 4
|
Changed country name from Swaziland to Eswatini, Feb 2019.
|
2006-07-01
|
2007-02-01
|
Central Statistical Office
|
275
|
4843
|
All Women
|
4987
|
15
|
49
|
All Men
|
4156
|
15
|
49
|
|
72 |
ET2000DHS
|
ET
|
2000
|
DHS
|
Completed
|
Ethiopia
|
2000
|
147
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2001-05-02
|
2001-05-02
|
1, 20, 10, 11, 21, 24, 4, 26, 79, 101, 3, 14, 57
|
|
2000-02-01
|
2000-05-01
|
Central Statistical Authority
|
539
|
14072
|
All Women
|
15367
|
15
|
49
|
All Men
|
2607
|
15
|
59
|
|
73 |
ET2005DHS
|
ET
|
2005
|
DHS
|
Completed
|
Ethiopia
|
2005
|
248
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2006-09-01
|
2006-09-01
|
33, 36, 57, 59, 34, 79, 41, 101, 24, 21, 23, 15, 10, 31, 22, 26, 14, 11, 20, 17, 13, 4, 1, 39, 3, 104
|
|
2005-04-01
|
2005-08-01
|
Central Statistical Agency, Population and Housing Census Commissions Office (PHCCO)
|
540
|
13721
|
All Women
|
14070
|
15
|
49
|
All Men
|
6033
|
15
|
59
|
|
74 |
ET2011DHS
|
ET
|
2011
|
DHS
|
Completed
|
Ethiopia
|
2011
|
359
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2012-03-01
|
2012-04-05
|
23, 41, 10, 33, 22, 24, 21, 14, 20, 36, 34, 5, 1, 17, 59, 13, 11, 79, 101, 69, 26, 3, 104
|
|
2010-12-01
|
2011-05-01
|
Central Statistical Agency (CSA)
|
615
|
16702
|
All Women
|
16515
|
15
|
49
|
All Men
|
14110
|
15
|
59
|
|
75 |
ET2016DHS
|
ET
|
2016
|
DHS
|
Completed
|
Ethiopia
|
2016
|
478
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2017-07-01
|
2017-08-15
|
91, 33, 15, 41, 10, 31, 22, 39, 26, 69, 24, 21, 14, 59, 11, 20, 17, 34, 13, 6, 4, 1, 60, 3, 70, 23, 79, 104, 92, 93
|
|
2016-01-01
|
2016-06-01
|
Central Statistical Agency (CSA)
|
645
|
16650
|
All Women
|
15683
|
15
|
49
|
All Men
|
12688
|
15
|
59
|
|
76 |
ET2019DHS
|
ET
|
2019
|
DHS
|
Completed
|
Ethiopia
|
2019
|
551
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2021-05-15
|
2021-05-04
|
70, 10, 92, 26, 93
|
This is a mini-DHS
|
2019-03-01
|
2019-06-01
|
Ethiopia Public Health Institute
|
305
|
8663
|
All Women
|
8885
|
15
|
49
|
|
|
|
|
|
77 |
ET2021SPA
|
ET
|
2021
|
SPA
|
Completed
|
Ethiopia
|
2021-22
|
588
|
0
|
Sub-Saharan Africa
|
Eastern Africa
|
2023-07-15
|
2023-08-30
|
26, 92
|
|
2021-08-01
|
2022-02-01
|
Ethiopian Public Health Institute (EPHI)
|
|
|
|
|
|
|
|
|
|
|
1407
|
78 |
GA2012DHS
|
GA
|
2012
|
DHS
|
Completed
|
Gabon
|
2012
|
402
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
2013-04-01
|
2013-07-09
|
23, 6, 33, 24, 21, 14, 34, 13, 5, 3, 41, 16, 10, 26, 69, 101, 1, 11, 32, 31, 57, 104, 20, 59, 79
|
|
2012-01-01
|
2012-05-01
|
Direction Générale des Statistiques (DGS)
|
336
|
9755
|
All Women
|
8422
|
15
|
49
|
All Men
|
5654
|
15
|
59
|
|
79 |
GA2019DHS
|
GA
|
2019
|
DHS
|
Completed
|
Gabon
|
2019-21
|
546
|
1
|
Sub-Saharan Africa
|
Middle Africa
|
2023-06-15
|
2023-07-12
|
92, 70, 104, 33, 31, 22, 76, 79, 69, 24, 21, 14, 57, 59, 20, 60, 34, 3, 26, 16, 41, 10, 43, 67, 47, 23, 89, 11, 108, 5, 6, 1, 126
|
|
2020-01-01
|
2021-10-01
|
Direction Générale de la Statistique
|
390
|
11781
|
All Women
|
11043
|
15
|
64
|
All Men
|
6894
|
15
|
64
|
|
80 |
GM2019DHS
|
GM
|
2019
|
DHS
|
Completed
|
Gambia
|
2019-20
|
555
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2021-03-15
|
2021-05-18
|
14, 34, 68, 63, 10, 41, 70, 11, 6, 4, 1, 24, 20, 60, 92, 26, 69, 3, 108, 89, 39, 108, 31, 22, 79, 21, 57, 94, 13
|
|
2019-11-01
|
2020-03-01
|
The Gambia Bureau of Statistics (GBOS)
|
281
|
6549
|
All Women
|
11865
|
15
|
49
|
All Men
|
4636
|
15
|
59
|
|
81 |
GH1993DHS
|
GH
|
1993
|
DHS
|
Completed
|
Ghana
|
1993
|
58
|
1
|
Sub-Saharan Africa
|
Western Africa
|
1994-12-01
|
1994-12-01
|
10, 11, 21, 60, 1, 74, 20, 17, 5, 85, 101, 26
|
|
1993-09-01
|
1994-02-01
|
Ghana Statistical Service
|
400
|
5822
|
All Women
|
4562
|
15
|
49
|
All Men
|
1302
|
15
|
59
|
|
82 |
GH1998DHS
|
GH
|
1998
|
DHS
|
Completed
|
Ghana
|
1998
|
151
|
1
|
Sub-Saharan Africa
|
Western Africa
|
1999-10-01
|
1999-10-01
|
21, 24, 11, 10, 26, 101, 74, 3
|
|
1998-11-01
|
1999-02-01
|
Ghana Statistical Service
|
400
|
6003
|
All Women
|
4843
|
15
|
49
|
All Men
|
1546
|
15
|
59
|
|
83 |
GH2002SPA
|
GH
|
2002
|
SPA
|
Completed
|
Ghana
|
2002
|
185
|
0
|
Sub-Saharan Africa
|
Western Africa
|
2004-03-01
|
2004-03-01
|
36, 8, 101, 26
|
|
2002-04-01
|
2002-09-01
|
Ghana Statistical Service/Health Research Unit (GSS/HRU)
|
458
|
|
|
|
|
|
|
|
|
|
458
|
84 |
GH2003DHS
|
GH
|
2003
|
DHS
|
Completed
|
Ghana
|
2003
|
235
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2004-09-01
|
2004-09-01
|
24, 57, 4, 34, 59, 41, 21, 15, 31, 26, 11, 79, 101, 69, 14, 33, 23, 10, 22, 12, 20, 3, 104
|
|
2003-07-01
|
2003-10-01
|
Ghana Statistical Service
|
412
|
6251
|
All Women
|
5691
|
15
|
49
|
All Men
|
5015
|
15
|
59
|
|
85 |
GH2008DHS
|
GH
|
2008
|
DHS
|
Completed
|
Ghana
|
2008
|
301
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2009-09-01
|
2009-10-01
|
9, 10, 33, 61, 41, 11, 36, 17, 15, 20, 3, 31, 101, 69, 57, 22, 26, 59, 8, 24, 21, 6, 34, 79
|
|
2008-09-01
|
2008-11-01
|
Ghana Statistical Services/Ministry of Health
|
412
|
11778
|
All Women
|
4916
|
15
|
49
|
All Men
|
4568
|
15
|
59
|
|
86 |
GH2014DHS
|
GH
|
2014
|
DHS
|
Completed
|
Ghana
|
2014
|
437
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2015-10-01
|
2015-10-15
|
59, 22, 23, 41, 10, 43, 68, 69, 11, 36, 79, 14, 32, 57, 89, 3, 78, 26, 80, 90, 104
|
|
2014-09-01
|
2014-12-01
|
Ghana Statistical Service (GSS)
|
427
|
11835
|
All Women
|
9396
|
15
|
49
|
All Men
|
4388
|
15
|
59
|
|
87 |
GH2016MIS
|
GH
|
2016
|
MIS
|
Completed
|
Ghana
|
2016
|
516
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2017-05-01
|
2017-07-27
|
89, 92, 41, 70, 15, 57, 26
|
|
2016-10-01
|
2016-12-01
|
The Ghana Statistical Services
|
200
|
5841
|
All Women
|
5150
|
15
|
49
|
|
|
|
|
|
88 |
GH2017OTH
|
GH
|
2017
|
OTH
|
Completed
|
Ghana
|
2017
|
506
|
0
|
Sub-Saharan Africa
|
Western Africa
|
2018-08-01
|
2018-08-23
|
1, 61, 9, 16, 26, 69, 85, 70, 92, 30
|
Maternal Health Survey
|
2017-06-01
|
2017-10-01
|
Ghana Statistical Service (GSS)in collaboration with Ghana Health Service
|
900
|
26324
|
All Women
|
25062
|
15
|
49
|
|
|
|
|
|
89 |
GH2019MIS
|
GH
|
2019
|
MIS
|
Completed
|
Ghana
|
2019
|
557
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2020-07-01
|
2020-07-28
|
90, 26, 106, 57, 124, 70, 89, 92, 41, 79, 69
|
|
2019-09-01
|
2019-11-01
|
Ghana Statistical Service and National Public Health and Reference Laboratory in Accra
|
200
|
5799
|
All Women
|
5181
|
15
|
49
|
|
|
|
|
|
90 |
GH2022DHS
|
GH
|
2022
|
DHS
|
Completed
|
Ghana
|
2022
|
598
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2024-01-15
|
2024-01-18
|
16, 33, 31, 22, 70, 76, 79, 92, 26, 69, 24, 21, 14, 57, 59, 11, 20, 60, 30, 34, 3, 41, 10, 134, 6, 124, 90, 89, 106
|
|
2022-10-01
|
2023-01-01
|
Ghana Statistical Service, Ghana Health Services(National Public Health Reference Lab), and QC lab(TBD possibly Noguchi)
|
618
|
17933
|
All Women
|
15014
|
15
|
49
|
All Men
|
7044
|
15
|
59
|
|
91 |
GU1997SPA
|
GU
|
1997
|
SPA
|
Completed
|
Guatemala
|
1997
|
138
|
0
|
Latin America & Caribbean
|
Central America
|
1999-12-01
|
1999-12-01
|
26, 101
|
|
1997-02-01
|
1997-06-01
|
Instituto Nacional de Estadistica
|
|
|
|
|
|
|
|
|
|
|
296
|
92 |
GU2015DHS
|
GU
|
2015
|
DHS
|
Completed
|
Guatemala
|
2014-15
|
440
|
1
|
Latin America & Caribbean
|
Central America
|
2017-01-01
|
2017-02-24
|
22, 41, 24, 21, 6, 94, 10, 11, 79, 101, 1, 26, 3
|
A couples dataset could not be generated since the household line number of the wife/partner (used to create variable MV034 and to link the man with his wife/partner) was not recorded in the Man’s Questionnaire.
|
2014-10-01
|
2015-06-01
|
Instituto de Nutrición de Centro América y Panamá (INCAP)
|
864
|
21383
|
All Women
|
25914
|
15
|
49
|
All Men
|
11145
|
15
|
59
|
|
93 |
GN1999DHS
|
GN
|
1999
|
DHS
|
Completed
|
Guinea
|
1999
|
154
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2000-05-01
|
2000-05-01
|
1, 2, 4, 11, 21, 24, 10, 57, 8, 26, 101, 14
|
|
1999-05-01
|
1999-07-01
|
Direction National de la Statistique et de l'Information
|
293
|
5090
|
All Women
|
6753
|
15
|
49
|
All Men
|
1980
|
15
|
59
|
293
|
94 |
GN2005DHS
|
GN
|
2005
|
DHS
|
Completed
|
Guinea
|
2005
|
249
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2006-04-01
|
2006-04-01
|
24, 21, 23, 10, 4, 1, 26, 57, 59, 34, 31, 22, 14, 20, 17, 13, 3, 41, 11, 15, 101, 104, 33, 79
|
|
2005-02-01
|
2005-06-01
|
Direction Nationale de la Statistique
|
295
|
6282
|
All Women
|
7954
|
15
|
49
|
All Men
|
3174
|
15
|
59
|
|
95 |
GN2012DHS
|
GN
|
2012
|
DHS
|
Completed
|
Guinea
|
2012
|
391
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2013-11-01
|
2014-01-30
|
41, 23, 101, 10, 31, 32, 39, 26, 24, 21, 14, 57, 59, 11, 20, 37, 34, 13, 5, 4, 1, 3, 90, 89, 104, 79
|
|
2012-06-01
|
2012-10-01
|
Institut National de la Statistique
|
300
|
7109
|
All Women
|
9142
|
15
|
49
|
All Men
|
3782
|
15
|
59
|
|
96 |
GN2016OTH
|
GN
|
2016
|
OTH
|
Completed
|
Guinea
|
2016
|
466
|
0
|
Sub-Saharan Africa
|
Western Africa
|
2017-04-01
|
2017-06-13
|
41, 70, 90, 89, 26
|
|
2016-08-01
|
2016-11-01
|
Institut National de la Statistique - INS
|
420
|
8078
|
|
|
|
|
|
|
|
|
|
97 |
GN2018DHS
|
GN
|
2018
|
DHS
|
Completed
|
Guinea
|
2018
|
539
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2019-07-01
|
2019-10-30
|
70, 39, 26, 38, 24, 21, 23, 11, 4, 41, 10, 67, 6, 92, 31, 79, 69, 34, 91, 104, 22, 17
|
|
2018-02-01
|
2018-06-01
|
Institut National de la Statistique (INS)
|
400
|
8200
|
All Women
|
8000
|
15
|
49
|
All Men
|
5000
|
15
|
59
|
|
98 |
GN2021MIS
|
GN
|
2021
|
MIS
|
Completed
|
Guinea
|
2021
|
571
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2022-03-15
|
2022-03-29
|
70, 41, 92, 26, 94, 79, 90, 89, 57, 124
|
|
2021-07-01
|
2021-09-01
|
Guinea Statistical Institute and National Reference Laboratory (LNR)
|
167
|
3985
|
All Women
|
5912
|
15
|
49
|
|
|
|
|
169
|
99 |
GY2004SPA
|
GY
|
2004
|
SPA
|
Completed
|
Guyana
|
2004
|
245
|
0
|
Latin America & Caribbean
|
South America
|
2005-12-01
|
2005-12-01
|
36, 8, 26, 101
|
|
2004-10-01
|
2005-03-01
|
Guyana Responsible Parenthood Association
|
|
|
|
|
|
|
|
|
|
|
210
|
100 |
GY2009DHS
|
GY
|
2009
|
DHS
|
Completed
|
Guyana
|
2009
|
309
|
1
|
Latin America & Caribbean
|
South America
|
2010-10-01
|
2011-07-08
|
33, 15, 41, 10, 31, 22, 32, 26, 24, 21, 14, 57, 11, 20, 17, 36, 34, 13, 3, 53, 59, 93, 79, 69, 101
|
|
2009-03-01
|
2009-07-01
|
Ministry of Health (MOH/Bureau of Statistisc)
|
330
|
5632
|
All Women
|
4996
|
15
|
49
|
All Men
|
3522
|
15
|
49
|
|
101 |
HT2000DHS
|
HT
|
2000
|
DHS
|
Completed
|
Haiti
|
2000
|
155
|
1
|
Latin America & Caribbean
|
Caribbean
|
2001-06-01
|
2001-06-01
|
1, 2, 3, 6, 17, 11, 15, 21, 24, 34, 32, 41, 26, 16, 14, 13, 31, 101, 33, 10, 20, 79
|
|
2000-02-01
|
2000-07-01
|
Inst. Haitien de l'Enfance
|
317
|
9595
|
All Women
|
10159
|
15
|
49
|
All Men
|
3171
|
15
|
59
|
317
|
102 |
HT2006DHS
|
HT
|
2006
|
DHS
|
Completed
|
Haiti
|
2005-06
|
222
|
1
|
Latin America & Caribbean
|
Caribbean
|
2007-01-01
|
2007-01-01
|
24, 15, 10, 31, 26, 14, 6, 1, 3, 37, 57, 36, 5, 34, 20, 69, 33, 41, 11, 21, 13, 88, 17, 59, 101, 23, 79, 100
|
|
2005-10-01
|
2006-06-01
|
Institut Haitien de L'Enfance
|
339
|
9998
|
All Women
|
10757
|
15
|
49
|
All Men
|
4958
|
15
|
59
|
|
103 |
HT2012DHS
|
HT
|
2012
|
DHS
|
Completed
|
Haiti
|
2012
|
368
|
1
|
Latin America & Caribbean
|
Caribbean
|
2013-04-01
|
2013-07-09
|
41, 23, 6, 67, 37, 33, 15, 10, 31, 61, 32, 39, 26, 24, 21, 14, 57, 20, 17, 34, 13, 3, 69, 101, 16, 11, 5, 104, 79
|
|
2012-01-01
|
2012-06-01
|
Institut Haïtien de l’Enfance (IHE - Haitian Childhood Institute)
|
445
|
13181
|
All Women
|
14287
|
15
|
49
|
All Men
|
9493
|
15
|
59
|
|
104 |
HT2013SPA
|
HT
|
2013
|
SPA
|
Completed
|
Haiti
|
2013
|
442
|
0
|
Latin America & Caribbean
|
Caribbean
|
2014-03-01
|
2014-04-15
|
36, 101, 70, 26
|
|
2013-03-01
|
2013-07-01
|
Institut Haitien de l’Enfance (IHE)
|
907
|
|
|
|
|
|
|
|
|
|
905
|
105 |
HT2016DHS
|
HT
|
2016
|
DHS
|
Completed
|
Haiti
|
2016-17
|
503
|
1
|
Latin America & Caribbean
|
Caribbean
|
2018-07-01
|
2018-08-21
|
85, 24, 21, 91, 16, 41, 10, 43, 70, 67, 11, 6, 1, 23, 118, 80, 31, 79, 32, 26, 92, 104
|
|
2016-11-01
|
2017-04-01
|
Institut Haitien de l’Enfance (IHE)
|
450
|
13405
|
All Women
|
14371
|
15
|
49
|
All Men
|
9795
|
15
|
64
|
|
106 |
HT2017SPA
|
HT
|
2017
|
SPA
|
Completed
|
Haiti
|
2017-18
|
532
|
0
|
Latin America & Caribbean
|
Caribbean
|
2019-04-01
|
2019-07-17
|
70, 26
|
|
2017-12-01
|
2018-05-01
|
Institute Haïtien de l’Enfance (IHE)
|
1007
|
|
|
|
|
|
|
|
|
|
1007
|
107 |
HN2011DHS
|
HN
|
2011
|
DHS
|
Completed
|
Honduras
|
2011-12
|
369
|
1
|
Latin America & Caribbean
|
Central America
|
2013-05-01
|
2013-06-25
|
87, 75, 76, 77, 69, 101, 41, 10, 45, 31, 26, 38, 24, 21, 11, 22, 6, 9, 3, 33, 61, 34, 36, 80, 32, 79
|
A couples dataset could not be generated since the household line number of the wife/partner (used to create variable MV034 and to link the man with his wife/partner) was not recorded in the Man’s Questionnaire.
|
2011-09-01
|
2012-07-01
|
Instituto Nacional de Estadistica (INE)
|
1150
|
21362
|
All Women
|
22757
|
15
|
49
|
All Men
|
7120
|
15
|
59
|
|
108 |
IA2015DHS
|
IA
|
2015
|
DHS
|
Completed
|
India
|
2015-16
|
355
|
1
|
South & Southeast Asia
|
South Asia
|
2017-12-01
|
2018-01-11
|
79, 16, 69, 13, 94, 59, 75, 76, 33, 45, 20, 22, 3, 11, 15, 31, 43, 68, 63, 46, 14, 57, 34, 36, 104, 41, 10, 23, 26, 6, 70, 24, 21
|
|
2015-01-01
|
2016-12-01
|
International Institute for Population Sciences (IIPS)
|
28586
|
601509
|
All Women
|
699686
|
15
|
49
|
All Men
|
112122
|
15
|
54
|
|
109 |
IA2020DHS
|
IA
|
2020
|
DHS
|
Completed
|
India
|
2019-21
|
541
|
1
|
South & Southeast Asia
|
South Asia
|
2022-03-15
|
2022-03-03
|
120, 117, 134, 122, 16, 33, 31, 22, 76, 79, 92, 69, 24, 21, 14, 57, 59, 20, 60, 34, 3, 32, 108, 36, 41, 10, 43, 70, 46, 85, 11, 6, 96, 97, 26
|
|
2019-06-01
|
2021-04-01
|
International Institute for Population Sciences (IIPS), Mumbai
|
30197
|
636669
|
All Women
|
724115
|
15
|
49
|
All Men
|
101839
|
15
|
54
|
|
110 |
ID2003DHS
|
ID
|
2003
|
DHS
|
Completed
|
Indonesia
|
2002-03
|
172
|
1
|
South & Southeast Asia
|
Southeast Asia
|
2003-12-01
|
2003-12-01
|
21, 26, 79, 53, 22, 20, 1, 31, 101, 3, 11, 13
|
|
2002-10-01
|
2003-04-01
|
Central Bureau of Statatistics/National Family Planning Coordinating Board (NFPCB)/Ministry of Health (MOH)
|
1592
|
33088
|
Ever Married Women
|
29483
|
15
|
49
|
Currently Married Men
|
8310
|
15
|
54
|
|
111 |
JO2002DHS
|
JO
|
2002
|
DHS
|
Completed
|
Jordan
|
2002
|
208
|
1
|
North Africa/West Asia/Europe
|
West Asia
|
2003-06-01
|
2003-06-01
|
15, 16, 41, 3, 10, 26, 21, 101, 22, 20, 75, 79
|
|
2002-07-01
|
2002-09-01
|
Department of Statistics (DOS)
|
498
|
7825
|
Ever Married Women
|
6006
|
15
|
49
|
|
|
|
|
|
112 |
JO2007DHS
|
JO
|
2007
|
DHS
|
Completed
|
Jordan
|
2007
|
295
|
1
|
North Africa/West Asia/Europe
|
West Asia
|
2008-08-01
|
2008-11-24
|
41, 10, 6, 17, 79, 16, 20, 34, 3, 21, 36, 101, 75, 76, 22, 32, 26, 80
|
|
2007-06-01
|
2007-11-01
|
Department of Statistics (DOS)
|
930
|
14564
|
Ever Married Women
|
10876
|
15
|
49
|
|
|
|
|
|
113 |
JO2012DHS
|
JO
|
2012
|
DHS
|
Completed
|
Jordan
|
2012
|
403
|
1
|
North Africa/West Asia/Europe
|
West Asia
|
2013-09-01
|
2013-12-10
|
15, 41, 10, 31, 26, 24, 21, 57, 8, 20, 17, 36, 34, 13, 6, 3, 16, 22, 75, 76, 67, 32, 101, 80, 79
|
|
2012-09-01
|
2012-12-01
|
Department of Statistics, Jordan
|
806
|
15190
|
Ever Married Women
|
11352
|
15
|
49
|
|
|
|
|
|
114 |
JO2017DHS
|
JO
|
2017
|
DHS
|
Completed
|
Jordan
|
2017-18
|
500
|
1
|
North Africa/West Asia/Europe
|
West Asia
|
2019-03-01
|
2019-03-26
|
22, 11, 41, 10, 70, 67, 80, 38, 21, 6, 87, 16, 26
|
In the 2017-18 Jordan DHS, height and weight data were collected for women aged 15-49 and for children less than 60 months old. However, analysis demonstrated that the data for children were unreliable; therefore, height and weight data of children were not included in the distribution recode file. Registered users who require access to the recode dataset with children anthropometric data, may send a request to: The DHS Data Archive at archive@dhsprogram.com.
|
2017-10-01
|
2018-01-01
|
Department of Statistics (DOS)
|
970
|
18802
|
Ever Married Women
|
14689
|
15
|
49
|
All Men
|
6429
|
15
|
59
|
|
115 |
JO2023DHS
|
JO
|
2023
|
DHS
|
Completed
|
Jordan
|
2023
|
596
|
1
|
North Africa/West Asia/Europe
|
West Asia
|
2024-08-15
|
2024-08-21
|
67, 85, 6, 80, 107, 134, 16, 31, 22, 70, 76, 79, 92, 26, 69, 24, 21, 11, 20, 60, 30, 34, 3, 41, 10, 111
|
|
2023-01-01
|
2023-06-01
|
Department of Statistics
|
970
|
19475
|
Ever Married Women
|
12595
|
15
|
49
|
All Men
|
5873
|
15
|
59
|
|
116 |
KE1998DHS
|
KE
|
1998
|
DHS
|
Completed
|
Kenya
|
1998
|
115
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
1999-04-01
|
1999-04-01
|
1, 4, 10, 11, 21, 22, 24, 26, 101, 57, 60, 3
|
|
1998-02-01
|
1998-07-01
|
National Council for Population Development (NCPD)
|
|
8380
|
All Women
|
7881
|
15
|
49
|
All Men
|
3407
|
15
|
54
|
|
117 |
KE1999SPA
|
KE
|
1999
|
SPA
|
Completed
|
Kenya
|
1999
|
173
|
0
|
Sub-Saharan Africa
|
Eastern Africa
|
1999-01-01
|
1999-01-01
|
8, 26, 101
|
|
1999-04-01
|
1999-09-01
|
National Council for Population Development (NCPD)/Ministry of Health (MOH)
|
|
|
|
|
|
|
|
|
|
|
388
|
118 |
KE2003DHS
|
KE
|
2003
|
DHS
|
Completed
|
Kenya
|
2003
|
216
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2004-07-01
|
2004-07-01
|
24, 1, 31, 57, 59, 20, 34, 3, 21, 10, 4, 26, 101, 104, 33, 23, 11, 6, 22, 79
|
|
2003-04-01
|
2003-09-01
|
Central Bureau of Statistics (CBS)
|
400
|
8561
|
All Women
|
8195
|
15
|
49
|
All Men
|
3578
|
15
|
54
|
|
119 |
KE2004SPA
|
KE
|
2004
|
SPA
|
Completed
|
Kenya
|
2004
|
250
|
0
|
Sub-Saharan Africa
|
Eastern Africa
|
2005-11-01
|
2005-11-01
|
24, 21, 36, 26, 101
|
|
2004-09-01
|
2005-01-01
|
National Council for Population Development (NCPD)
|
|
|
|
|
|
|
|
|
|
|
440
|
120 |
KE2008DHS
|
KE
|
2008
|
DHS
|
Completed
|
Kenya
|
2008-09
|
300
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2010-06-01
|
2010-06-15
|
31, 6, 1, 22, 10, 14, 17, 36, 34, 4, 39, 24, 21, 23, 57, 59, 33, 20, 13, 26, 32, 3, 69, 101, 104, 11, 79
|
|
2008-11-01
|
2009-02-01
|
Kenya National Bureau of Statistics formerly Central Bureau of Statistics (CBS)
|
400
|
9057
|
All Women
|
8444
|
15
|
49
|
All Men
|
3465
|
15
|
54
|
|
121 |
KE2010MIS
|
KE
|
2010
|
MIS
|
Completed
|
Kenya
|
2010
|
385
|
0
|
Sub-Saharan Africa
|
Eastern Africa
|
2011-07-01
|
2011-08-23
|
79, 57, 26, 101, 41, 90, 89, 119
|
|
2010-07-01
|
2010-09-01
|
Division of Malaria Control (DOMC) in the Ministry of Public Health and Sanitation
|
240
|
6538
|
All Women
|
5749
|
15
|
49
|
|
|
|
|
|
122 |
KE2010SPA
|
KE
|
2010
|
SPA
|
Completed
|
Kenya
|
2010
|
347
|
0
|
Sub-Saharan Africa
|
Eastern Africa
|
2011-05-01
|
2011-05-24
|
26, 36, 101
|
|
2010-01-01
|
2010-04-01
|
National Coordinating Agency for Population and Development (NCAPD)
|
695
|
|
|
|
|
|
|
|
|
|
695
|
123 |
KE2014DHS
|
KE
|
2014
|
DHS
|
Completed
|
Kenya
|
2014
|
451
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2015-12-01
|
2016-01-14
|
75, 26, 76, 10, 31, 32, 94, 39, 4, 1, 11, 6, 14, 57, 8, 34, 20, 77, 101, 33, 63, 69, 24, 21, 22, 36, 13, 60, 3, 68, 79
|
|
2014-05-01
|
2014-10-01
|
Kenya National Bureau of Statistics (KNBS) of the Ministry of Planning and National Development
|
1612
|
36430
|
All Women
|
31079
|
15
|
49
|
All Men
|
12819
|
15
|
54
|
|
124 |
KE2015MIS
|
KE
|
2015
|
MIS
|
Completed
|
Kenya
|
2015
|
493
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2016-04-01
|
2016-04-05
|
15, 26, 41, 70, 92, 90, 89, 119, 57
|
|
2015-07-01
|
2015-08-01
|
National Malaria Control Programme / Ministry of Health (NMCP/MOH) and Kenya National Bureau of Statistics (KNBS)
|
246
|
6481
|
All Women
|
5394
|
15
|
49
|
|
|
|
|
|
125 |
KE2020MIS
|
KE
|
2020
|
MIS
|
Completed
|
Kenya
|
2020
|
579
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2021-09-15
|
2021-10-27
|
41, 106, 70, 79, 92, 26, 124, 90, 89, 119, 57
|
|
2020-11-01
|
2020-12-01
|
Ministry of Health (MOH) Division of National Malaria Programme (DNMP) in collaboration with the Kenya National Bureau of Statistics (KNBS).
|
298
|
7952
|
All Women
|
6771
|
15
|
49
|
|
|
|
|
|
126 |
KE2022DHS
|
KE
|
2022
|
DHS
|
Completed
|
Kenya
|
2022
|
566
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2023-06-15
|
2023-07-03
|
6, 80, 134, 16, 33, 31, 22, 70, 76, 79, 92, 26, 69, 24, 21, 14, 57, 59, 11, 20, 60, 30, 34, 3, 10, 36, 108, 4, 108
|
|
2022-02-01
|
2022-07-01
|
Kenya National Bureau of Statistics (KNBS)
|
1691
|
37911
|
All Women
|
32156
|
15
|
49
|
All Men
|
14453
|
15
|
54
|
|
127 |
KY2012DHS
|
KY
|
2012
|
DHS
|
Completed
|
Kyrgyz Republic
|
2012
|
383
|
1
|
Central Asia
|
Central Asia
|
2013-12-01
|
2014-01-30
|
10, 30, 79, 32, 69, 26, 31, 34, 33, 68, 14, 17, 13, 3, 59, 94, 22, 11, 101, 6, 16, 15, 41, 43, 24, 21, 20, 36, 93
|
|
2012-08-01
|
2012-12-01
|
National Statistical Committee (NSC) and the Ministry of Health (MOH)
|
316
|
8040
|
All Women
|
8208
|
15
|
49
|
All Men
|
2413
|
15
|
59
|
|
128 |
LA2017OTH
|
LA
|
2017
|
OTH
|
Completed
|
Lao People's Democratic Republic
|
2017
|
520
|
0
|
South & Southeast Asia
|
Southeast Asia
|
2018-06-01
|
2018-09-01
|
11, 69, 60, 33, 24, 21, 34, 79, 32, 14, 88, 31, 85, 26, 41, 10, 70, 80, 67, 5
|
|
2017-07-01
|
2017-09-01
|
Lao Statistics Bureau (LSB) / Ministry of Planning and Investment (MPI), in collaboration with the Ministry of Health.
|
1170
|
23400
|
All Women
|
28000
|
15
|
49
|
All Men
|
|
15
|
49
|
|
129 |
LS2004DHS
|
LS
|
2004
|
DHS
|
Completed
|
Lesotho
|
2004
|
256
|
1
|
Sub-Saharan Africa
|
Southern Africa
|
2005-11-01
|
2005-11-01
|
36, 34, 41, 79, 24, 21, 23, 15, 10, 26, 14, 11, 20, 13, 1, 69, 101, 59, 33, 3, 104
|
|
2004-09-01
|
2005-01-01
|
Ministry of Health and Social Welfare and the Bureau of Statistics.
|
405
|
8592
|
All Women
|
7095
|
15
|
49
|
All Men
|
2797
|
15
|
59
|
|
130 |
LS2009DHS
|
LS
|
2009
|
DHS
|
Completed
|
Lesotho
|
2009
|
317
|
1
|
Sub-Saharan Africa
|
Southern Africa
|
2010-11-01
|
2010-11-30
|
14, 24, 21, 23, 41, 10, 43, 59, 63, 60, 79, 33, 31, 22, 26, 11, 36, 34, 13, 1, 69, 3, 70, 75, 76, 104
|
|
2009-10-01
|
2010-01-01
|
Ministry of Health and Social Welfare (MOHSW)
|
400
|
9391
|
All Women
|
7624
|
15
|
49
|
All Men
|
3317
|
15
|
59
|
|
131 |
LS2014DHS
|
LS
|
2014
|
DHS
|
Completed
|
Lesotho
|
2014
|
462
|
1
|
Sub-Saharan Africa
|
Southern Africa
|
2016-05-01
|
2016-06-15
|
59, 26, 82, 84, 108, 91, 22, 31, 75, 76, 63, 24, 21, 14, 20, 34, 36, 13, 74, 41, 10, 43, 68, 23, 11, 1, 79, 69, 70, 3, 104
|
|
2014-09-01
|
2014-12-01
|
Ministry of Health (MOH)
|
400
|
9402
|
All Women
|
6621
|
15
|
49
|
All Men
|
2931
|
15
|
59
|
|
132 |
LS2023DHS
|
LS
|
2023
|
DHS
|
Completed
|
Lesotho
|
2023-24
|
572
|
1
|
Sub-Saharan Africa
|
Southern Africa
|
|
|
33, 68, 41, 10, 43, 108, 1, 118, 134, 16, 76, 24, 57, 20, 60, 120, 31, 22, 114, 108, 113, 15, 137, 70, 6, 79, 63, 92, 26, 69, 21, 59, 11, 30, 94, 34, 36, 13, 3
|
|
2023-11-01
|
2024-02-01
|
Ministry of Health
|
400
|
9810
|
All Women
|
6413
|
15
|
49
|
All Men
|
3215
|
15
|
59
|
|
133 |
LB1986DHS
|
LB
|
1986
|
DHS
|
Completed
|
Liberia
|
1986
|
7
|
1
|
Sub-Saharan Africa
|
Western Africa
|
1988-02-01
|
1988-02-01
|
20, 26, 101
|
|
1986-02-01
|
1986-07-01
|
Ministry of Planning and Economic Affairs
|
156
|
5026
|
All Women
|
5239
|
15
|
49
|
|
|
|
|
|
134 |
LB2007DHS
|
LB
|
2007
|
DHS
|
Completed
|
Liberia
|
2007
|
271
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2008-06-01
|
2008-08-01
|
24, 21, 23, 10, 31, 32, 26, 11, 20, 13, 6, 57, 1, 34, 36, 59, 67, 5, 79, 101, 16, 33, 38, 3, 53, 104
|
|
2006-12-01
|
2007-04-01
|
Liberia Institute for Statistics and Geo-information Services (LISGIS)
|
298
|
6824
|
All Women
|
7092
|
15
|
49
|
All Men
|
6009
|
15
|
49
|
|
135 |
LB2009MIS
|
LB
|
2009
|
MIS
|
Completed
|
Liberia
|
2009
|
330
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2009-09-01
|
2009-12-02
|
41, 57, 79, 15, 26, 17, 101, 90, 89, 8
|
Anemia testing was done for children only
|
2008-12-01
|
2009-03-01
|
National Malaria Control Program (NMCP) of the Ministry of Health and Social Welfare in collaboration with the Liberia Institute for Statistics and Geo-Information Services (LISGIS)
|
150
|
4162
|
All Women
|
4397
|
15
|
49
|
|
|
|
|
|
136 |
LB2011MIS
|
LB
|
2011
|
MIS
|
Completed
|
Liberia
|
2011
|
361
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2012-06-01
|
2012-07-17
|
26, 79, 101, 15, 41, 57, 8, 90, 89
|
|
2011-09-01
|
2011-12-01
|
Liberian National Malaria Control Program (NMCP), Ministry of Health and Social Welfare (MOHSW)
|
150
|
4162
|
All Women
|
3939
|
15
|
49
|
|
|
|
|
|
137 |
LB2013DHS
|
LB
|
2013
|
DHS
|
Completed
|
Liberia
|
2013
|
435
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2014-08-01
|
2014-09-23
|
57, 1, 10, 14, 11, 69, 87, 22, 26, 72, 38, 23, 79, 101, 33, 104, 3
|
Testing water samples for E. coli took place in a subset of clusters.
|
2013-03-01
|
2013-07-01
|
Liberia Institute of Statistics and Geo-information Services (LISGIS)
|
322
|
9333
|
All Women
|
9239
|
15
|
49
|
All Men
|
4118
|
15
|
49
|
|
138 |
LB2016MIS
|
LB
|
2016
|
MIS
|
Completed
|
Liberia
|
2016
|
509
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2017-09-01
|
2017-12-04
|
79, 41, 101, 89, 26, 92, 57
|
|
2016-09-01
|
2016-11-01
|
The National Malaria Control Program (NMCP) and the Liberia Institute of Statistics and Geo-Information Services (LISGIS)
|
150
|
4218
|
All Women
|
4290
|
15
|
49
|
|
|
|
|
|
139 |
LB2019DHS
|
LB
|
2019
|
DHS
|
Completed
|
Liberia
|
2019-20
|
537
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2021-04-15
|
2021-04-07
|
70, 24, 21, 11, 6, 41, 10, 67, 5, 3, 33, 31, 79, 69, 14, 57, 34, 36, 13, 4, 107, 1, 92, 16, 22, 26, 59, 20, 60
|
|
2019-10-01
|
2020-02-01
|
Liberia Institute of Statistics and Geo-Information Services (LISGIS)
|
|
9068
|
All Women
|
8065
|
15
|
49
|
All Men
|
4249
|
15
|
59
|
|
140 |
LB2022MIS
|
LB
|
2022
|
MIS
|
Completed
|
Liberia
|
2022
|
573
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2023-11-15
|
2023-12-07
|
30, 92, 26, 57, 41, 70, 124, 89, 90
|
|
2022-10-01
|
2022-12-01
|
NMCP
|
150
|
4306
|
All Women
|
4513
|
15
|
49
|
|
|
|
|
|
141 |
MD1997DHS
|
MD
|
1997
|
DHS
|
Completed
|
Madagascar
|
1997
|
110
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
1998-11-01
|
1998-11-01
|
1, 24, 21, 10, 14, 13, 16, 26, 41, 101
|
|
1997-09-01
|
1997-12-01
|
Direction de la Démographie et des Statistique Sociales (DDSS)/Institut National de la Statistique (INSTAT)
|
270
|
7171
|
All Women
|
7060
|
15
|
49
|
|
|
|
|
|
142 |
MD2004DHS
|
MD
|
2004
|
DHS
|
Completed
|
Madagascar
|
2003-04
|
207
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2005-02-01
|
2005-02-01
|
31, 22, 26, 34, 69, 24, 21, 15, 11, 17, 1, 41, 49, 40, 51, 10, 79, 101, 33, 14, 3, 57
|
|
2003-11-01
|
2004-03-01
|
Institut National de la Statistique (INSTAT)
|
303
|
8420
|
All Women
|
7949
|
15
|
49
|
All Men
|
2432
|
15
|
59
|
|
143 |
MD2008DHS
|
MD
|
2008
|
DHS
|
Completed
|
Madagascar
|
2008-09
|
296
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2010-04-01
|
2010-06-07
|
57, 41, 10, 36, 34, 8, 1, 24, 21, 33, 59, 20, 3, 14, 79, 69, 101, 15, 11, 22, 26, 37, 13
|
The equipment for measuring syphilis in the field proved faulty and all related variables are therefore not available in the recode data file. The scales used for measuring the weight of children did not have enough precision therefore all weight related variables for children were set to not applicable in the recode data file.
|
2008-11-01
|
2009-08-01
|
Institut National de la Statistique (INSTAT)
|
600
|
17857
|
All Women
|
17375
|
15
|
49
|
All Men
|
8586
|
15
|
59
|
|
144 |
MD2011MIS
|
MD
|
2011
|
MIS
|
Completed
|
Madagascar
|
2011
|
396
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2012-03-01
|
2012-06-08
|
41, 79, 26, 70, 57, 90, 89, 119
|
|
2011-03-01
|
2011-06-01
|
Institut National de la Statistique (INSTAT)
|
268
|
8094
|
All Women
|
8169
|
15
|
49
|
|
|
|
|
|
145 |
MD2013MIS
|
MD
|
2013
|
MIS
|
Completed
|
Madagascar
|
2013
|
456
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2013-11-01
|
2013-12-06
|
41, 26, 57, 79, 96, 90, 89, 70
|
Areas without Malaria have been excluded
|
2013-04-01
|
2013-06-01
|
Institut National de la Statistique (INSTAT)
|
284
|
8574
|
All Women
|
8045
|
15
|
49
|
|
|
|
|
|
146 |
MD2016MIS
|
MD
|
2016
|
MIS
|
Completed
|
Madagascar
|
2016
|
505
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2017-01-01
|
2017-02-28
|
57, 20, 17, 79, 94, 15, 41, 70, 96, 92, 26, 90, 89
|
|
2016-05-01
|
2016-07-01
|
Institut National de la Statistique (INSTAT)
|
340
|
11284
|
All Women
|
10655
|
15
|
49
|
|
|
|
|
|
147 |
MD2021DHS
|
MD
|
2021
|
DHS
|
Completed
|
Madagascar
|
2021
|
560
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2022-08-15
|
2022-08-30
|
41, 10, 70, 39, 89, 108, 6, 59, 11, 16, 33, 76, 69, 24, 14, 20, 106, 31, 22, 79, 26, 21, 57, 34, 3, 92, 60, 17
|
|
2021-03-01
|
2021-07-01
|
Institute of National Statistics (INSTAT) of Madagascar
|
650
|
20510
|
All Women
|
18869
|
15
|
49
|
All Men
|
9037
|
15
|
59
|
|
148 |
MW2000DHS
|
MW
|
2000
|
DHS
|
Completed
|
Malawi
|
2000
|
158
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2001-06-01
|
2001-06-01
|
1, 57, 10, 21, 24, 5, 3, 22, 14, 13, 26, 34, 31, 101, 33, 11, 79
|
|
2000-07-01
|
2000-11-01
|
Nat. Statistical Office
|
560
|
14213
|
All Women
|
13220
|
15
|
49
|
All Men
|
3092
|
15
|
54
|
|
149 |
MW2004DHS
|
MW
|
2004
|
DHS
|
Completed
|
Malawi
|
2004
|
251
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2005-12-01
|
2005-12-01
|
24, 21, 23, 15, 10, 22, 26, 11, 20, 17, 13, 5, 6, 1, 57, 59, 34, 41, 69, 101, 39, 33, 3, 79, 104
|
|
2004-10-01
|
2005-01-01
|
The National Statistical Office
|
522
|
13664
|
All Women
|
11698
|
15
|
49
|
All Men
|
3261
|
15
|
54
|
|
150 |
MW2010DHS
|
MW
|
2010
|
DHS
|
Completed
|
Malawi
|
2010
|
333
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2011-09-01
|
2011-10-06
|
33, 22, 14, 20, 17, 13, 3, 24, 21, 23, 41, 10, 39, 26, 57, 59, 11, 37, 36, 34, 6, 1, 88, 101, 104, 79
|
Extra questions on male participation in health care
|
2010-06-01
|
2010-11-01
|
National Statistics Office
|
849
|
24825
|
All Women
|
23020
|
15
|
49
|
All Men
|
7175
|
15
|
54
|
|
151 |
MW2012MIS
|
MW
|
2012
|
MIS
|
Completed
|
Malawi
|
2012
|
432
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2012-11-01
|
2013-03-15
|
41, 26, 57, 70, 90, 89, 79
|
|
2012-04-01
|
2012-05-01
|
National Malaria Control Program (NMCP)
|
140
|
3404
|
All Women
|
2906
|
15
|
49
|
|
|
|
|
|
152 |
MW2013SPA
|
MW
|
2013
|
SPA
|
Completed
|
Malawi
|
2013-14
|
424
|
0
|
Sub-Saharan Africa
|
Eastern Africa
|
2014-11-01
|
2015-01-21
|
26, 70, 36
|
|
2013-06-01
|
2014-02-01
|
Malawi Ministry of Health
|
1060
|
|
|
|
|
|
|
|
|
|
977
|
153 |
MW2014MIS
|
MW
|
2014
|
MIS
|
Completed
|
Malawi
|
2014
|
473
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2015-02-01
|
2015-03-27
|
41, 70, 26, 57, 90, 89, 8
|
|
2014-05-01
|
2014-06-01
|
National Malaria Control Programme (NMCP), Ministry of Health
|
140
|
3405
|
All Women
|
2897
|
15
|
49
|
|
|
|
|
|
154 |
MW2015DHS
|
MW
|
2015
|
DHS
|
Completed
|
Malawi
|
2015-16
|
483
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2017-02-01
|
2017-03-15
|
33, 31, 22, 39, 26, 69, 57, 59, 17, 34, 36, 13, 60, 3, 91, 14, 15, 41, 10, 20, 6, 1, 16, 79, 85, 92, 70, 24, 21, 23, 11, 104
|
All technical questions on the Malawi Micronutrient Data (Other Biomarkers), should be sent to: immpact@cdc.gov
|
2015-10-01
|
2016-02-01
|
National Statistical Office (NSO)
|
850
|
26361
|
All Women
|
24562
|
15
|
49
|
All Men
|
7478
|
15
|
54
|
|
155 |
MW2017MIS
|
MW
|
2017
|
MIS
|
Completed
|
Malawi
|
2017
|
512
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2018-01-01
|
2018-04-25
|
41, 70, 92, 90, 89, 119, 26, 57
|
|
2017-04-01
|
2017-05-01
|
National Malaria Control Programme (NMCP)
|
150
|
3729
|
All Women
|
3860
|
15
|
49
|
|
|
|
|
|
156 |
ML1996DHS
|
ML
|
1996
|
DHS
|
Completed
|
Mali
|
1995-96
|
77
|
1
|
Sub-Saharan Africa
|
Western Africa
|
1996-12-01
|
1996-12-01
|
1, 2, 4, 11, 21, 24, 16, 10, 26, 101, 3
|
|
1995-11-01
|
1996-05-01
|
CPS/MSSPA et DNSI, Cellule de Planification et Statistique du Ministère de la Santé; Direction de la Statistique et de l'Informatique du Ministère de l'Économie et des Finances
|
300
|
8716
|
All Women
|
9704
|
15
|
49
|
All Men
|
2474
|
15
|
59
|
300
|
157 |
ML2001DHS
|
ML
|
2001
|
DHS
|
Completed
|
Mali
|
2001
|
159
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2002-06-01
|
2002-06-01
|
1, 2, 4, 5, 11, 15, 17, 21, 24, 23, 22, 41, 57, 26, 79, 101, 104, 10, 3, 13, 14
|
There is no possibility of linking the HIV Test data to the survey data.
|
2001-01-01
|
2001-05-01
|
CPS/MSSPA et DNSI, Cellule de Planification et Statistique dur Ministère de la Santè; Direction de la Statistique e de l'Informatique du Ministère de l'Économie et des Finances
|
403
|
12331
|
All Women
|
12849
|
15
|
49
|
All Men
|
3405
|
15
|
59
|
403
|
158 |
ML2006DHS
|
ML
|
2006
|
DHS
|
Completed
|
Mali
|
2006
|
276
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2007-12-01
|
2008-04-15
|
1, 24, 21, 23, 15, 10, 31, 22, 14, 11, 20, 13, 5, 6, 4, 34, 41, 57, 3, 59, 26, 38, 79, 101, 39, 33, 104
|
|
2006-05-01
|
2006-12-01
|
Cellule de Planification et de Statistique (CPS), Direction Nationale de la Statistique et de L'Informatique (DNSI)
|
410
|
12998
|
All Women
|
14583
|
15
|
49
|
All Men
|
4207
|
15
|
59
|
|
159 |
ML2010OTH
|
ML
|
2010
|
OTH
|
Completed
|
Mali
|
2010
|
387
|
0
|
Sub-Saharan Africa
|
Western Africa
|
2010-12-01
|
2011-04-22
|
41, 57, 26, 101, 90, 89
|
Anemia and Parasitemia Survey (AMP)
No women or men interviews
|
2010-08-01
|
2010-10-01
|
Programme National de Lutte contre le Paludisme (PNLP) and INFO-STAT
|
110
|
1617
|
|
|
|
|
|
|
|
|
|
160 |
ML2012DHS
|
ML
|
2012
|
DHS
|
Completed
|
Mali
|
2012-13
|
405
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2014-05-01
|
2014-08-05
|
41, 15, 10, 31, 39, 26, 38, 21, 23, 14, 57, 59, 11, 20, 22, 13, 5, 6, 4, 1, 3, 79, 16, 69, 87, 24, 70, 104, 33, 90, 89
|
|
2012-11-01
|
2013-02-01
|
INFO-STAT in collaboration with government agencies, the National Institute of Statistics (INSTAT) and the Cellule de Planification et de Statistique (CPS), which is the technical department in charge of statistics and the DHS at the Ministry of Health.
|
415
|
10105
|
All Women
|
10424
|
15
|
49
|
All Men
|
4399
|
15
|
59
|
|
161 |
ML2015MIS
|
ML
|
2015
|
MIS
|
Completed
|
Mali
|
2015
|
487
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2016-07-01
|
2016-09-28
|
26, 90, 89, 41, 70, 57
|
|
2015-09-01
|
2015-11-01
|
INFO-STAT in collaboration with Programme National de Lutte contre le Paludisme (PNLP) and Institut National de la Statistique (INSTAT)
|
180
|
4240
|
All Women
|
7758
|
15
|
49
|
|
|
|
|
|
162 |
ML2018DHS
|
ML
|
2018
|
DHS
|
Completed
|
Mali
|
2018
|
517
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2019-08-01
|
2019-09-19
|
22, 92, 85, 39, 11, 6, 4, 1, 41, 10, 70, 89, 26
|
|
2018-08-01
|
2018-11-01
|
The National Institute of Statistics (Institut National de Statistiques -INSTAT), the Center for Planning and Statistics - Health, Social Development, and Family Promotion Sectors (Cellule de Planification et de Statistique Secteur Santé, Développement Social et Promotion de la Famille - CPS/SS-DS-PF)
|
458
|
9510
|
All Women
|
10519
|
15
|
49
|
All Men
|
4618
|
15
|
59
|
|
163 |
ML2021MIS
|
ML
|
2021
|
MIS
|
Completed
|
Mali
|
2021
|
574
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2022-08-15
|
2022-10-18
|
89, 106, 70, 92, 26, 57, 41
|
|
2021-09-01
|
2021-11-01
|
Institut National de la Statistique (INSTAT); National Malaria Control Program (NMCP)
|
261
|
5627
|
All Women
|
10765
|
15
|
49
|
|
|
|
|
|
164 |
MR2020DHS
|
MR
|
2020
|
DHS
|
Completed
|
Mauritania
|
2019-21
|
553
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2022-02-15
|
2022-04-20
|
31, 22, 6, 79, 69, 24, 21, 14, 59, 11, 34, 3, 85, 41, 10, 70, 47, 89, 108, 4, 1, 76, 92, 26, 57, 20, 60, 125
|
|
2019-11-01
|
2021-04-01
|
Office National de la Statistique (ONS)
|
404
|
11658
|
All Women
|
15714
|
15
|
49
|
All Men
|
5673
|
15
|
59
|
|
165 |
MB2005DHS
|
MB
|
2005
|
DHS
|
Completed
|
Moldova
|
2005
|
258
|
1
|
North Africa/West Asia/Europe
|
Eastern Europe
|
2006-09-01
|
2006-09-01
|
15, 10, 11, 14, 36, 34, 59, 69, 41, 16, 24, 21, 22, 26, 30, 6, 3, 101, 33, 60, 79, 93, 94
|
|
2005-06-01
|
2005-08-01
|
Ministry of Health (MOH)/Center for Preventive Medicine
|
400
|
11095
|
All Women
|
7440
|
15
|
49
|
All Men
|
2508
|
15
|
59
|
|
166 |
MA2003DHS
|
MA
|
2003
|
DHS
|
Completed
|
Morocco
|
2003-04
|
214
|
1
|
North Africa/West Asia/Europe
|
North Africa
|
2005-03-01
|
2005-03-01
|
21, 10, 34, 79, 69, 1, 22, 17, 108, 101, 26
|
The Morocco Survey will be a collaboration between MEASURE DHS+ and PAPFAM of the League of the Arab States
|
2003-10-01
|
2004-02-01
|
Ministère de la Santé, Direction de la Planification et des Ressources Financières, Division de la Planification et des Études, Service des Etudes et de l’Information Sanitaire – SEIS
|
480
|
11513
|
All Women
|
16798
|
15
|
49
|
|
|
|
|
|
167 |
MZ2009AIS
|
MZ
|
2009
|
AIS
|
Completed
|
Mozambique
|
2009
|
322
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2010-11-01
|
2010-12-01
|
11, 81, 79, 24, 21, 23, 26, 101, 59, 33, 104
|
Completed interviews for adolescents 12-14 years: 1,900; Completed interviews for caregivers of children 0-11 years: 5,226; MZOD51*.ZIP: Adolescents and Caregivers of Children Questionnaires.
|
2009-06-01
|
2009-09-01
|
Ministerio da Saúde, Instituto Nacional de Saúde (INS), Central Hospital, Instituto Nacional de Estatística (INE)
|
270
|
6097
|
All Women
|
6413
|
15
|
64
|
All Men
|
4799
|
15
|
64
|
|
168 |
MZ2011DHS
|
MZ
|
2011
|
DHS
|
Completed
|
Mozambique
|
2011
|
362
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2013-03-01
|
2013-05-02
|
41, 11, 6, 10, 1, 26, 87, 79, 69, 70, 33, 31, 24, 21, 14, 57, 59, 20, 22, 17, 34, 13, 3, 90, 89
|
|
2011-06-01
|
2011-11-01
|
Instituto Nacional de Estatística (INE)
|
611
|
13919
|
All Women
|
13745
|
15
|
49
|
All Men
|
4035
|
15
|
64
|
|
169 |
MZ2015AIS
|
MZ
|
2015
|
AIS
|
Completed
|
Mozambique
|
2015
|
467
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2018-02-01
|
2018-02-26
|
24, 81, 83, 91, 41, 47, 11, 51, 6, 92, 89, 78, 3, 21, 23, 82, 84, 79, 26, 104
|
|
2015-05-01
|
2015-09-01
|
The Instituto Nacional de Saúde (INS)
|
307
|
7169
|
All Women
|
7749
|
15
|
59
|
All Men
|
5283
|
15
|
59
|
|
170 |
MZ2018MIS
|
MZ
|
2018
|
MIS
|
Completed
|
Mozambique
|
2018
|
527
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2019-04-01
|
2019-07-19
|
41, 70, 89, 57, 26
|
|
2018-04-01
|
2018-06-01
|
Instituto Nacional de Saúde (INS, the National Health Institute)
|
224
|
6196
|
All Women
|
6184
|
15
|
49
|
|
|
|
|
|
171 |
MZ2022DHS
|
MZ
|
2022
|
DHS
|
Completed
|
Mozambique
|
2022-23
|
564
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2024-05-15
|
2024-05-07
|
16, 33, 76, 72, 80, 14, 89, 108, 30, 34, 36, 103, 67, 85, 108, 114, 134, 31, 22, 79, 92, 69, 24, 57, 20, 60, 3, 39, 21, 41, 10, 70, 26, 6, 1, 11
|
|
2022-07-01
|
2023-03-01
|
Instituto Nacional de Estatística (INE)
|
619
|
14250
|
All Women
|
13183
|
15
|
49
|
All Men
|
5380
|
15
|
54
|
|
172 |
MM2016DHS
|
MM
|
2016
|
DHS
|
Completed
|
Myanmar
|
2015-16
|
454
|
1
|
South & Southeast Asia
|
Southeast Asia
|
2017-03-01
|
2017-03-23
|
22, 79, 92, 26, 24, 21, 3, 36, 67, 80, 15, 41, 78, 11, 6, 1, 57
|
|
2015-12-01
|
2016-07-01
|
The Department of Health Planning under the Ministry of Health
|
442
|
12500
|
All Women
|
12885
|
15
|
49
|
All Men
|
4737
|
15
|
49
|
|
173 |
NM2000DHS
|
NM
|
2000
|
DHS
|
Completed
|
Namibia
|
2000
|
205
|
1
|
Sub-Saharan Africa
|
Southern Africa
|
2003-10-01
|
2003-10-01
|
31, 24, 79, 26, 21, 10, 14, 11, 1, 101, 3, 57, 33
|
|
2000-09-01
|
2000-12-01
|
Ministry of Health and Social Services
|
260
|
6392
|
All Women
|
6755
|
15
|
49
|
All Men
|
2954
|
15
|
59
|
|
174 |
NM2006DHS
|
NM
|
2006
|
DHS
|
Completed
|
Namibia
|
2006-07
|
284
|
1
|
Sub-Saharan Africa
|
Southern Africa
|
2008-08-01
|
2008-10-22
|
24, 21, 33, 10, 31, 26, 11, 20, 37, 17, 36, 34, 13, 57, 3, 59, 8, 79, 22, 1, 88, 69, 101
|
Although testing salt for iodine appears in the household questionnare, it was not implemented.
|
2006-11-01
|
2007-03-01
|
Ministry of Health and Social Services (MOHSS)
|
500
|
9200
|
All Women
|
9804
|
15
|
49
|
All Men
|
3915
|
15
|
49
|
|
175 |
NM2009SPA
|
NM
|
2009
|
SPA
|
Completed
|
Namibia
|
2009
|
281
|
0
|
Sub-Saharan Africa
|
Southern Africa
|
2011-02-01
|
2011-03-03
|
36, 26, 101
|
In addition to the features listed: Health Systems, HIV Testing (Lab Capacity), Quality of Health Care
|
2009-07-01
|
2009-09-01
|
Namibia Ministry of Health and Social Services
|
|
|
|
|
|
|
|
|
|
|
460
|
176 |
NM2013DHS
|
NM
|
2013
|
DHS
|
Completed
|
Namibia
|
2013
|
363
|
1
|
Sub-Saharan Africa
|
Southern Africa
|
2014-09-01
|
2014-12-18
|
57, 43, 46, 79, 26, 87, 31, 41, 10, 6, 1, 75, 76, 77, 23, 33, 15, 68, 63, 38, 24, 21, 20, 22, 17, 36, 13, 3, 101, 104, 11, 59, 34, 14
|
An additional 842 Women Age: 50 to 64 were interviewed in 1/2 of the selected households.
|
2013-05-01
|
2013-09-01
|
Ministry of Health and Social Services (MOHSS)
|
554
|
9849
|
All Women
|
9176
|
15
|
49
|
All Men
|
4481
|
15
|
64
|
|
177 |
NP2001DHS
|
NP
|
2001
|
DHS
|
Completed
|
Nepal
|
2001
|
202
|
1
|
South & Southeast Asia
|
South Asia
|
2002-04-01
|
2002-04-01
|
30, 16, 10, 20, 26, 101, 33, 3, 21, 11, 13, 79, 94
|
|
2001-01-01
|
2001-06-01
|
Ministry of Health/New ERA
|
251
|
8602
|
Ever Married Women
|
8726
|
15
|
49
|
Ever Married Men
|
2261
|
15
|
59
|
|
178 |
NP2006DHS
|
NP
|
2006
|
DHS
|
Completed
|
Nepal
|
2006
|
268
|
1
|
South & Southeast Asia
|
South Asia
|
2007-05-01
|
2007-05-01
|
30, 36, 34, 79, 9, 60, 94, 41, 16, 24, 21, 15, 10, 31, 22, 32, 26, 11, 20, 13, 1, 101, 61, 3, 33, 57
|
|
2006-02-01
|
2006-08-01
|
New ERA
|
260
|
8707
|
All Women
|
10793
|
15
|
49
|
All Men
|
4397
|
15
|
59
|
|
179 |
NP2011DHS
|
NP
|
2011
|
DHS
|
Completed
|
Nepal
|
2011
|
356
|
1
|
South & Southeast Asia
|
South Asia
|
2012-03-01
|
2012-03-27
|
41, 16, 26, 10, 24, 79, 31, 32, 30, 21, 14, 11, 20, 22, 17, 34, 6, 60, 94, 33, 57, 70, 13, 3
|
|
2011-01-01
|
2011-06-01
|
New ERA
|
289
|
10826
|
All Women
|
12674
|
15
|
49
|
All Men
|
4121
|
15
|
49
|
|
180 |
NP2015SPA
|
NP
|
2015
|
SPA
|
Completed
|
Nepal
|
2015
|
400
|
0
|
South & Southeast Asia
|
South Asia
|
2017-01-01
|
2017-01-30
|
70, 26
|
|
2015-04-01
|
2015-11-01
|
New ERA
|
992
|
|
|
|
|
|
|
|
|
|
963
|
181 |
NP2016DHS
|
NP
|
2016
|
DHS
|
Completed
|
Nepal
|
2016
|
472
|
1
|
South & Southeast Asia
|
South Asia
|
2017-11-01
|
2017-11-13
|
6, 31, 14, 20, 17, 34, 36, 13, 9, 60, 3, 22, 30, 11, 41, 10, 70, 1, 16, 43, 68, 79, 24, 107, 26, 21, 92, 57
|
|
2016-06-01
|
2017-01-01
|
New ERA
|
383
|
11040
|
All Women
|
12862
|
15
|
49
|
All Men
|
4063
|
15
|
49
|
|
182 |
NP2021SPA
|
NP
|
2021
|
SPA
|
Completed
|
Nepal
|
2021
|
561
|
0
|
South & Southeast Asia
|
South Asia
|
2022-08-15
|
2022-09-20
|
26
|
|
2021-01-01
|
2021-09-01
|
New ERA
|
|
|
|
|
|
|
|
|
|
|
|
183 |
NP2022DHS
|
NP
|
2022
|
DHS
|
Completed
|
Nepal
|
2022
|
585
|
1
|
South & Southeast Asia
|
South Asia
|
2023-06-15
|
2023-06-23
|
11, 70, 134, 16, 33, 22, 76, 69, 24, 20, 60, 34, 110, 85, 6, 114, 41, 10, 31, 43, 79, 92, 39, 26, 21, 14, 30, 94, 36, 3, 103, 107
|
|
2022-01-01
|
2022-06-01
|
New ERA
|
476
|
13786
|
All Women
|
14845
|
15
|
49
|
All Men
|
4913
|
15
|
49
|
|
184 |
NI1992DHS
|
NI
|
1992
|
DHS
|
Completed
|
Niger
|
1992
|
53
|
1
|
Sub-Saharan Africa
|
Western Africa
|
1993-09-01
|
1993-09-01
|
1, 2, 12, 11, 10, 26, 101, 74
|
|
1992-03-01
|
1992-06-01
|
Direction de la Statistique et des Comptes Nationaux
|
235
|
5242
|
All Women
|
6503
|
15
|
49
|
Husbands
|
1570
|
|
|
235
|
185 |
NI1998DHS
|
NI
|
1998
|
DHS
|
Completed
|
Niger
|
1998
|
99
|
1
|
Sub-Saharan Africa
|
Western Africa
|
1998-12-12
|
1998-12-12
|
2, 4, 11, 21, 24, 26, 101, 10, 3
|
|
1998-03-01
|
1998-07-01
|
Care International
|
268
|
5928
|
All Women
|
7577
|
15
|
49
|
All Men
|
3542
|
15
|
59
|
268
|
186 |
NI2006DHS
|
NI
|
2006
|
DHS
|
Completed
|
Niger
|
2006
|
277
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2007-02-01
|
2007-02-01
|
1, 24, 21, 23, 15, 10, 31, 22, 14, 11, 20, 5, 4, 57, 59, 41, 101, 39, 104, 26, 33, 3, 79
|
|
2006-01-01
|
2006-05-01
|
Direction de la Statistique et des Comptes Nationaux DSCN, Direction Général de l'Institut National de la Statistique
|
345
|
7660
|
All Women
|
9223
|
15
|
49
|
All Men
|
3549
|
15
|
59
|
|
187 |
NI2012DHS
|
NI
|
2012
|
DHS
|
Completed
|
Niger
|
2012
|
407
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2013-09-01
|
2014-01-02
|
57, 16, 11, 69, 101, 104, 15, 41, 10, 67, 39, 24, 21, 23, 22, 5, 4, 1, 26, 3, 79
|
|
2012-02-01
|
2012-06-01
|
Institut National de la Statistique (INS)
|
480
|
10750
|
All Women
|
11160
|
15
|
49
|
All Men
|
3928
|
15
|
59
|
|
188 |
NI2021MIS
|
NI
|
2021
|
MIS
|
Completed
|
Niger
|
2021
|
575
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2023-02-15
|
2023-02-28
|
106, 70, 92, 26, 57, 41, 89
|
|
2021-08-01
|
2021-10-01
|
Institut National de la Statistiques
|
|
4729
|
All Women
|
5795
|
15
|
49
|
|
|
|
|
|
189 |
NG1990DHS
|
NG
|
1990
|
DHS
|
Completed
|
Nigeria
|
1990
|
32
|
1
|
Sub-Saharan Africa
|
Western Africa
|
1992-04-01
|
1992-04-01
|
2, 10, 26, 101
|
|
1990-04-01
|
1990-10-01
|
Federal Office of Statistics
|
|
8999
|
All Women
|
8781
|
15
|
49
|
|
|
|
|
184
|
190 |
NG2003DHS
|
NG
|
2003
|
DHS
|
Completed
|
Nigeria
|
2003
|
223
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2004-04-01
|
2004-04-01
|
11, 4, 24, 14, 34, 79, 21, 26, 101, 57, 33, 10, 3
|
|
2003-03-01
|
2003-08-01
|
The National Population Commission
|
362
|
7225
|
All Women
|
7620
|
15
|
49
|
All Men
|
2346
|
15
|
59
|
|
191 |
NG2008DHS
|
NG
|
2008
|
DHS
|
Completed
|
Nigeria
|
2008
|
302
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2009-11-01
|
2009-11-24
|
88, 37, 11, 6, 4, 57, 31, 14, 17, 33, 34, 26, 69, 10, 3, 59, 22, 101, 36, 39, 20, 13, 24, 21, 8, 1, 79
|
|
2008-06-01
|
2008-10-01
|
National Population Commission
|
888
|
34070
|
All Women
|
33385
|
15
|
49
|
All Men
|
15486
|
15
|
59
|
|
192 |
NG2010MIS
|
NG
|
2010
|
MIS
|
Completed
|
Nigeria
|
2010
|
392
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2012-01-01
|
2012-02-27
|
10, 26, 79, 101, 41, 90, 89, 57, 119
|
|
2010-10-01
|
2010-12-01
|
National Population Commission (NPC) and the National Malaria Control Programme (NMCP)
|
240
|
5895
|
All Women
|
6344
|
15
|
49
|
|
|
|
|
|
193 |
NG2013DHS
|
NG
|
2013
|
DHS
|
Completed
|
Nigeria
|
2013
|
438
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2014-06-01
|
2014-06-16
|
57, 8, 6, 26, 10, 37, 22, 69, 34, 4, 1, 3, 20, 24, 21, 88, 11, 101, 31, 33, 59, 79
|
|
2013-02-01
|
2013-06-01
|
National Population Commission (NPC)
|
904
|
38522
|
All Women
|
38948
|
15
|
49
|
All Men
|
17359
|
15
|
49
|
|
194 |
NG2015MIS
|
NG
|
2015
|
MIS
|
Completed
|
Nigeria
|
2015
|
474
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2016-08-01
|
2016-11-07
|
92, 41, 70, 26, 79, 90, 89, 119, 57
|
|
2015-10-01
|
2015-11-01
|
The National Malaria Elimination Program (NMEP), the National Population Commission (NPopC), and the National Bureau of Statistics (NBS)
|
333
|
7745
|
All Women
|
8034
|
15
|
49
|
|
|
|
|
|
195 |
NG2018DHS
|
NG
|
2018
|
DHS
|
Completed
|
Nigeria
|
2018
|
528
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2019-10-01
|
2019-11-05
|
90, 95, 92, 24, 21, 34, 22, 70, 41, 89, 14, 39, 6, 1, 4, 11, 26, 10
|
|
2018-08-01
|
2018-12-01
|
National Population Commission (NPC)
|
1400
|
40427
|
All Women
|
41821
|
15
|
49
|
All Men
|
13311
|
15
|
59
|
|
196 |
NG2021MIS
|
NG
|
2021
|
MIS
|
Completed
|
Nigeria
|
2021
|
576
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2022-11-15
|
2022-11-20
|
70, 106, 41, 92, 57, 124, 119, 89, 26, 90
|
|
2021-10-01
|
2021-12-01
|
National Malaria Elimination Program
National Population Commission
|
568
|
13727
|
All Women
|
14476
|
15
|
49
|
|
|
|
|
|
197 |
PK2006DHS
|
PK
|
2006
|
DHS
|
Completed
|
Pakistan
|
2006-07
|
273
|
1
|
South & Southeast Asia
|
South Asia
|
2008-06-01
|
2008-07-18
|
57, 39, 36, 16, 8, 101, 26, 1, 9, 79
|
PKOD52.ZIP: Other Data - This comes from the Community Questionnaire.
|
2006-09-01
|
2007-02-01
|
The National Institute of Population Studies (NIPS)
|
1000
|
95441
|
Ever Married Women
|
10023
|
15
|
49
|
|
|
|
|
|
198 |
PK2012DHS
|
PK
|
2012
|
DHS
|
Completed
|
Pakistan
|
2012-13
|
419
|
1
|
South & Southeast Asia
|
South Asia
|
2013-12-01
|
2014-01-22
|
6, 10, 22, 30, 60, 33, 24, 21, 11, 20, 36, 34, 13, 3, 16, 31, 17, 26, 57, 78, 79
|
A couples dataset could not be generated since the household line number of the wife/partner (used to create variable MV034 and to link the man with his wife/partner) was not recorded in the Man’s Questionnaire.
|
2012-10-01
|
2013-04-01
|
National Institute of Population Studies (NIPS)
|
500
|
12943
|
Ever Married Women
|
13558
|
15
|
49
|
Ever Married Men
|
3134
|
15
|
49
|
|
199 |
PK2017DHS
|
PK
|
2017
|
DHS
|
Completed
|
Pakistan
|
2017-18
|
523
|
1
|
South & Southeast Asia
|
South Asia
|
2019-01-01
|
2019-02-25
|
30, 16, 10, 78, 11, 6, 31, 85, 92, 26, 60, 2, 79, 34, 22
|
National figures and background characteristics of the 2017-18 PDHS excludes Azad Jammu and Kashmir and Gilgit Baltistan regions. As the 2012-13 PDHS included Gilgit Baltistan, trend analysis should be done with caution.
|
2017-11-01
|
2018-04-01
|
The National Institute of Population Studies (NIPS)
|
580
|
14540
|
Ever Married Women
|
15068
|
15
|
49
|
Ever Married Men
|
3691
|
15
|
49
|
|
200 |
PE2000DHS
|
PE
|
2000
|
DHS
|
Completed
|
Peru
|
2000
|
176
|
1
|
Latin America & Caribbean
|
South America
|
2001-06-01
|
2001-06-01
|
6, 10, 15, 21, 24, 22, 20, 1, 3, 16, 73, 26, 79, 69, 101, 14, 41, 31, 33
|
|
2000-07-01
|
2000-11-01
|
Instituto Nacional de Estadistica e Informática
|
1414
|
28900
|
All Women
|
27843
|
15
|
49
|
|
|
|
|
|
201 |
PE2004DHS
|
PE
|
2004
|
DHS
|
Completed
|
Peru
|
2004-06
|
228
|
1
|
Latin America & Caribbean
|
South America
|
2005-11-01
|
2005-11-01
|
1, 31, 57, 60, 79, 34, 36, 33, 73, 101, 24, 22, 20, 6, 69, 16, 21, 26, 13, 3, 15, 41, 10
|
Continuous survey, with 5 cycles. The data include cycles 1 through 5.
|
2003-12-01
|
2006-12-01
|
Instituto Nacional de Estadistica e Informatica (INEI)
|
|
20440
|
All Women
|
19090
|
15
|
49
|
|
|
|
|
|
202 |
PE2007DHS
|
PE
|
2007
|
DHS
|
Completed
|
Peru
|
2007-08
|
447
|
1
|
Latin America & Caribbean
|
South America
|
2009-10-01
|
2010-02-26
|
41, 10, 24, 21, 6, 22, 79, 16, 1, 26, 73, 69, 14, 33, 70, 3
|
Continuous survey, with 5 cycles. The data include cycles 1 through 5.
|
2007-01-01
|
2008-10-01
|
Instituto Nacional de Estadistica e Informatica (INEI)
|
722
|
25633
|
All Women
|
22558
|
15
|
49
|
|
|
|
|
|
203 |
PE2009DHS
|
PE
|
2009
|
DHS
|
Completed
|
Peru
|
2009
|
334
|
1
|
Latin America & Caribbean
|
South America
|
2010-05-01
|
2010-05-13
|
79, 16, 26, 33, 15, 41, 10, 31, 22, 32, 24, 21, 14, 20, 36, 34, 13, 5, 6, 1, 60, 3, 73, 70, 69, 75, 76, 57
|
|
2009-03-01
|
2009-11-01
|
Instituto Nacional de Estadistica e Informatica (INEI)
|
1132
|
26988
|
All Women
|
24212
|
15
|
49
|
|
|
|
|
|
204 |
PE2010DHS
|
PE
|
2010
|
DHS
|
Completed
|
Peru
|
2010
|
426
|
1
|
Latin America & Caribbean
|
South America
|
2011-05-01
|
2011-06-08
|
79, 16, 22, 26, 5, 33, 15, 31, 43, 68, 67, 32, 20, 34, 36, 13, 1, 60, 3, 41, 10, 24, 21, 6, 73, 69, 70, 75, 76, 57
|
|
2010-03-01
|
2010-12-01
|
Instituto Nacional de Estadística e Informática (INEI)
|
1132
|
26605
|
All Women
|
22947
|
15
|
49
|
|
|
|
|
|
205 |
PE2011DHS
|
PE
|
2011
|
DHS
|
Completed
|
Peru
|
2011
|
433
|
1
|
Latin America & Caribbean
|
South America
|
2012-05-01
|
2012-06-05
|
33, 41, 10, 31, 68, 63, 32, 24, 21, 14, 20, 17, 36, 34, 13, 6, 1, 3, 79, 16, 69, 26, 5, 43, 72, 67, 22, 70, 75, 76, 73, 57
|
|
2011-03-01
|
2011-12-01
|
Instituto Nacional de Estadística e Informática (INEI)
|
1132
|
26528
|
All Women
|
22517
|
15
|
49
|
|
|
|
|
|
206 |
PE2012DHS
|
PE
|
2012
|
DHS
|
Completed
|
Peru
|
2012
|
434
|
1
|
Latin America & Caribbean
|
South America
|
2013-04-01
|
2013-05-07
|
79, 16, 1, 26, 34, 15, 41, 10, 38, 24, 21, 20, 36, 6, 3, 37, 22, 17, 14, 69, 73, 67, 33, 70, 5, 43, 68, 32
|
|
2012-03-01
|
2012-12-01
|
Instituto Nacional de Estadística e Informática (INEI)
|
1426
|
27218
|
All Women
|
23888
|
15
|
49
|
|
|
|
|
|
207 |
PE2013DHS
|
PE
|
2013
|
DHS
|
Completed
|
Peru
|
2013
|
455
|
0
|
Latin America & Caribbean
|
South America
|
2014-05-01
|
2014-05-28
|
79, 16, 15, 41, 5, 6, 1, 3, 10, 43, 68, 32, 26, 38, 69, 24, 21, 14, 20, 37, 22, 17, 34, 36, 70, 67, 73, 33, 63, 75, 76, 85
|
Datasets are available from http://iinei.inei.gob.pe/microdatos/
|
2013-03-01
|
2013-11-01
|
Instituto Nacional de Estadística e Informática (INEI)
|
1426
|
26831
|
All Women
|
22920
|
15
|
49
|
|
|
|
|
|
208 |
PH2003DHS
|
PH
|
2003
|
DHS
|
Completed
|
Philippines
|
2003
|
227
|
1
|
South & Southeast Asia
|
Southeast Asia
|
2004-10-01
|
2004-10-01
|
24, 21, 26, 13, 36, 34, 16, 69, 11, 68, 101, 33, 77, 63, 22, 30, 75, 76, 38, 3
|
|
2003-06-01
|
2003-09-01
|
National Statistics Office
|
819
|
12586
|
All Women
|
13633
|
15
|
49
|
All Men
|
4766
|
15
|
54
|
|
209 |
PH2008DHS
|
PH
|
2008
|
DHS
|
Completed
|
Philippines
|
2008
|
298
|
1
|
South & Southeast Asia
|
Southeast Asia
|
2009-12-01
|
2010-01-21
|
24, 21, 30, 26, 33, 34, 6, 16, 3, 20, 69, 101, 36, 38, 79
|
|
2008-08-01
|
2008-09-01
|
The National Statistics Office
|
794
|
12469
|
All Women
|
13594
|
15
|
49
|
|
|
|
|
|
210 |
PH2017DHS
|
PH
|
2017
|
DHS
|
Completed
|
Philippines
|
2017
|
510
|
1
|
South & Southeast Asia
|
Southeast Asia
|
2018-10-01
|
2018-10-03
|
24, 69, 33, 38, 108, 30, 60, 21, 92, 87, 70, 6, 94, 26
|
|
2017-08-01
|
2017-10-01
|
The Philippine Statistics Authority (PSA)
|
1250
|
27496
|
All Women
|
25074
|
15
|
49
|
|
|
|
|
|
211 |
PH2022DHS
|
PH
|
2022
|
DHS
|
Completed
|
Philippines
|
2022
|
603
|
1
|
South & Southeast Asia
|
Southeast Asia
|
2023-06-15
|
2023-06-05
|
67, 80, 108, 6, 87, 134, 16, 33, 31, 22, 70, 76, 79, 92, 26, 69, 24, 21, 20, 60, 30, 34, 3
|
|
2022-05-01
|
2022-06-01
|
Philippines Statistics Authority (PSA)
|
1250
|
30372
|
All Women
|
27821
|
15
|
49
|
|
|
|
|
|
212 |
RW2000DHS
|
RW
|
2000
|
DHS
|
Completed
|
Rwanda
|
2000
|
165
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2001-09-01
|
2001-09-01
|
1, 57, 21, 24, 10, 22, 26, 101, 3, 33, 14, 11, 79
|
|
2000-06-01
|
2000-08-01
|
Office National de la Population
|
443
|
9696
|
All Women
|
10421
|
15
|
49
|
All Men
|
2717
|
15
|
59
|
|
213 |
RW2001SPA
|
RW
|
2001
|
SPA
|
Completed
|
Rwanda
|
2001
|
212
|
0
|
Sub-Saharan Africa
|
Eastern Africa
|
2001-01-01
|
2001-01-01
|
36, 26, 101
|
|
2001-09-01
|
2001-11-01
|
ONAPO - Office National de la Population
|
223
|
|
|
|
|
|
|
|
|
|
223
|
214 |
RW2005DHS
|
RW
|
2005
|
DHS
|
Completed
|
Rwanda
|
2005
|
252
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2006-07-01
|
2006-07-01
|
24, 21, 23, 15, 10, 11, 6, 26, 22, 59, 34, 33, 39, 14, 41, 37, 69, 101, 57, 104, 1, 3, 79
|
|
2005-02-01
|
2005-07-01
|
Department of Statistics, in the Ministry of Economics (MINECOFIN)
|
462
|
10272
|
All Women
|
11321
|
15
|
49
|
All Men
|
4820
|
15
|
59
|
|
215 |
RW2008DHS
|
RW
|
2008
|
DHS
|
Completed
|
Rwanda
|
2007-08
|
323
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2009-04-01
|
2009-07-16
|
11, 41, 69, 26, 15, 59, 20, 13, 101, 57, 79, 90, 89
|
A couples dataset could not be generated since the household line number of the wife/partner (used to create variable MV034 and to link the man with his wife/partner) was not recorded in the Man’s Questionnaire.
|
2007-12-01
|
2008-04-01
|
National Institute of Statistics of Rwanda (NISR)
|
250
|
7377
|
All Women
|
7313
|
15
|
49
|
All Men
|
6837
|
15
|
59
|
|
216 |
RW2010DHS
|
RW
|
2010
|
DHS
|
Completed
|
Rwanda
|
2010
|
364
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2012-02-01
|
2012-03-13
|
41, 23, 10, 31, 1, 3, 6, 5, 20, 59, 87, 32, 14, 69, 79, 101, 11, 26, 38, 24, 21, 57, 104, 22, 17, 34, 13, 90, 89, 119
|
|
2010-09-01
|
2011-03-01
|
National Institute of Statistics of Rwanda and The Ministry of Health
|
492
|
12540
|
All Women
|
13671
|
15
|
49
|
All Men
|
6329
|
15
|
59
|
|
217 |
RW2015DHS
|
RW
|
2015
|
DHS
|
Completed
|
Rwanda
|
2014-15
|
468
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2016-03-01
|
2016-05-09
|
31, 57, 8, 59, 20, 17, 13, 81, 26, 69, 34, 14, 33, 90, 89, 22, 32, 24, 21, 23, 101, 15, 41, 10, 11, 36, 6, 1, 3, 79, 80
|
|
2014-11-01
|
2015-04-01
|
NIRS will be the implementing agency for the survey in collaboration with MOH.
|
492
|
12699
|
All Women
|
13497
|
15
|
49
|
All Men
|
6217
|
15
|
59
|
|
218 |
RW2019DHS
|
RW
|
2019
|
DHS
|
Completed
|
Rwanda
|
2019-20
|
554
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2021-09-15
|
2021-10-04
|
20, 41, 10, 70, 80, 69, 24, 21, 23, 90, 89, 11, 64, 85, 6, 1, 100, 104, 16, 33, 31, 22, 76, 79, 92, 26, 14, 57, 59, 60, 34, 3, 122, 124, 130, 65, 132, 127, 129, 119
|
Other Biomarkers Data: Micronutrients Testing
|
2019-11-01
|
2020-07-01
|
National Institute of Statistics of Rwanda (NISR)
|
500
|
12949
|
All Women
|
14634
|
15
|
49
|
All Men
|
6513
|
15
|
59
|
|
219 |
SN1993DHS
|
SN
|
1993
|
DHS
|
Completed
|
Senegal
|
1992-93
|
46
|
1
|
Sub-Saharan Africa
|
Western Africa
|
1994-04-01
|
1994-04-01
|
1, 2, 11, 21, 26, 10, 101
|
|
1992-11-01
|
1993-08-01
|
Ministère de l'Économie, des Finances et du Plan Direction de la Prévision et de la Statistique
|
|
3528
|
All Women
|
6310
|
15
|
49
|
All Men
|
1436
|
20
|
|
258
|
220 |
SN1997DHS
|
SN
|
1997
|
DHS
|
Completed
|
Senegal
|
1997
|
81
|
1
|
Sub-Saharan Africa
|
Western Africa
|
1997-12-01
|
1997-12-01
|
11, 21, 26, 101
|
|
1997-01-01
|
1997-04-01
|
Ministère de l'Économie, des Finances et du Plan
|
320
|
4772
|
All Women
|
8593
|
15
|
49
|
All Men
|
4306
|
20
|
|
|
221 |
SN2005DHS
|
SN
|
2005
|
DHS
|
Completed
|
Senegal
|
2005
|
233
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2006-04-01
|
2006-04-01
|
23, 22, 57, 34, 5, 79, 32, 26, 41, 4, 1, 21, 15, 11, 10, 101, 14, 33, 104, 3, 31
|
|
2005-02-01
|
2005-05-01
|
Ministère de la Santé et de la Prévention Médicale, Centre de Recherche pour le Développement Humain (CRDH)
|
377
|
7412
|
All Women
|
14602
|
15
|
49
|
All Men
|
3761
|
15
|
59
|
|
222 |
SN2008MIS
|
SN
|
2008
|
MIS
|
Completed
|
Senegal
|
2008-09
|
338
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2009-07-01
|
2009-09-03
|
15, 57, 41, 79, 26, 101, 90, 89, 119
|
|
2008-12-01
|
2009-01-01
|
Ministère de la Santé, de la Prévention et de l'Hygiène Publique Centre de Recherche pour le Développement Humain
|
320
|
9291
|
All Women
|
19441
|
15
|
49
|
|
|
|
|
|
223 |
SN2010DHS
|
SN
|
2010
|
DHS
|
Completed
|
Senegal
|
2010-11
|
365
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2012-02-01
|
2012-04-27
|
45, 5, 4, 1, 15, 31, 68, 63, 32, 39, 14, 57, 20, 22, 34, 13, 3, 26, 69, 11, 41, 10, 24, 21, 23, 70, 104, 79, 90, 89
|
|
2010-10-01
|
2011-04-01
|
Agence Nationale de la Statistique et de la Démographie (ANSD)
|
392
|
7902
|
All Women
|
15688
|
15
|
49
|
All Men
|
4929
|
15
|
59
|
|
224 |
SN2012SPA
|
SN
|
2012
|
SPA
|
Completed
|
Senegal
|
2012-13
|
444
|
0
|
Sub-Saharan Africa
|
Western Africa
|
2013-09-01
|
2013-10-01
|
26, 70
|
Continuous Survey
|
2012-11-01
|
2013-07-01
|
l’Agence Nationale de la Statistique et de la Démographie (ANSD) avec la collaboration du Ministère de la Santé et de l’Action Sociale (MSAS)
|
|
|
|
|
|
|
|
|
|
|
458
|
225 |
SN2012DHS
|
SN
|
2012
|
DHS
|
Completed
|
Senegal
|
2012-13
|
423
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2013-07-01
|
2013-10-01
|
14, 70, 10, 31, 20, 22, 13, 5, 4, 3, 32, 26, 57, 8, 17, 34, 41, 79, 90, 89
|
|
2012-09-01
|
2013-06-01
|
National Agency of Statistics and Demography (Agence Nationale de la Statistique et la Démographie- ANSD)
|
200
|
4175
|
All Women
|
8636
|
15
|
49
|
|
|
|
|
|
226 |
SN2014DHS
|
SN
|
2014
|
DHS
|
Completed
|
Senegal
|
2014
|
457
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2015-03-01
|
2015-03-31
|
22, 90, 89, 14, 15, 41, 10, 31, 57, 20, 17, 34, 13, 5, 4, 3, 32, 85, 70, 26, 11, 79
|
Each zip file includes two datasets: SNxx70xx.xxx for the 2014 survey alone. SNxx6Rxx.xxx for the combined 2012-13/2014 surveys used to produce subnational regional results. Individual questionnaire data for men were only collected in the 2014 survey.
|
2014-01-01
|
2014-10-01
|
National Agency of Statistics and Demography (Agence Nationale de la Statistique et la Démographie- ANSD)
|
200
|
4231
|
All Women
|
8488
|
15
|
49
|
All Men
|
3371
|
15
|
59
|
|
227 |
SN2014SPA
|
SN
|
2014
|
SPA
|
Completed
|
Senegal
|
2014
|
458
|
0
|
Sub-Saharan Africa
|
Western Africa
|
2015-02-01
|
2015-02-26
|
70, 36, 26
|
Continuous SPA (Year 2)
|
2014-01-01
|
2014-10-01
|
National Agency of Statistics and Demography (Agence Nationale de la Statistique et la Démographie- ANSD)
|
464
|
|
|
|
|
|
|
|
|
|
464
|
228 |
SN2015DHS
|
SN
|
2015
|
DHS
|
Completed
|
Senegal
|
2015
|
489
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2016-10-01
|
2016-11-04
|
90, 79, 34, 14, 4, 31, 32, 69, 15, 26, 57, 41, 70, 5, 89, 11, 94, 22
|
|
2015-01-01
|
2015-10-01
|
Agence Nationale de la Statistique et la Demographie (ANSD)
|
214
|
4511
|
All Women
|
8851
|
15
|
49
|
All Men
|
3734
|
15
|
59
|
|
229 |
SN2015SPA
|
SN
|
2015
|
SPA
|
Completed
|
Senegal
|
2015
|
496
|
0
|
Sub-Saharan Africa
|
Western Africa
|
2016-09-01
|
2016-11-03
|
26, 70
|
|
2015-01-01
|
2015-10-01
|
Agence Nationale de la Statistique et de la Démographie (ANSD)
|
486
|
|
|
|
|
|
|
|
|
|
486
|
230 |
SN2016DHS
|
SN
|
2016
|
DHS
|
Completed
|
Senegal
|
2016
|
524
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2017-08-01
|
2017-09-06
|
80, 26, 69, 14, 11, 34, 4, 15, 70, 22, 57, 79, 31, 41, 90, 89, 5, 94, 10
|
Each zip file includes two datasets: SNxx7Ixx.xxx for the 2016 survey alone. SNxxG0xx.xxx for the combined 2015/2016 surveys.
|
2016-01-01
|
2016-10-01
|
Agence Nationale de la Statistique et la Demographie (ANSD)
|
214
|
4437
|
All Women
|
8865
|
15
|
49
|
All Men
|
3527
|
15
|
59
|
|
231 |
SN2016SPA
|
SN
|
2016
|
SPA
|
Completed
|
Senegal
|
2016
|
513
|
0
|
Sub-Saharan Africa
|
Western Africa
|
2017-06-01
|
2017-09-06
|
70, 26
|
|
2016-03-01
|
2016-11-01
|
Agence Nationale de la Statistique et de la Démographie (ANSD)
|
464
|
|
|
|
|
|
|
|
|
|
464
|
232 |
SN2017DHS
|
SN
|
2017
|
DHS
|
Completed
|
Senegal
|
2017
|
534
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2018-09-01
|
2018-09-28
|
10, 22, 23, 57, 15, 41, 31, 70, 79, 80, 26, 69, 14, 90, 89, 11, 34, 5, 4, 104, 94, 1
|
|
2017-04-01
|
2017-12-01
|
Agence Nationale de la Statistique et la Demographie (ANSD)
|
400
|
8380
|
All Women
|
16787
|
15
|
49
|
All Men
|
6977
|
15
|
59
|
|
233 |
SN2017SPA
|
SN
|
2017
|
SPA
|
Completed
|
Senegal
|
2017
|
535
|
0
|
Sub-Saharan Africa
|
Western Africa
|
2018-09-01
|
2017-09-28
|
26
|
|
2017-03-01
|
2017-12-01
|
Agence Nationale de la Statistique et de la Démographie
|
794
|
|
|
|
|
|
|
|
|
|
794
|
234 |
SN2018DHS
|
SN
|
2018
|
DHS
|
Completed
|
Senegal
|
2018
|
580
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2020-05-01
|
2020-06-17
|
31, 17, 3, 80, 26, 11, 10, 14, 6, 4, 32, 69, 85, 22, 70, 79
|
|
2018-06-01
|
2018-12-01
|
l’Agence Nationale de la Statistique et de la Démographie (ANSD)
|
214
|
4592
|
All Women
|
9414
|
15
|
49
|
All Men
|
3762
|
15
|
59
|
|
235 |
SN2018SPA
|
SN
|
2018
|
SPA
|
Completed
|
Senegal
|
2018
|
582
|
0
|
Sub-Saharan Africa
|
Western Africa
|
2020-05-01
|
2020-06-17
|
70, 26
|
|
2018-04-01
|
2018-12-01
|
l’Agence Nationale de la Statistique et de la Démographie (ANSD)
|
|
|
|
|
|
|
|
|
|
|
466
|
236 |
SN2019SPA
|
SN
|
2019
|
SPA
|
Completed
|
Senegal
|
2019
|
583
|
0
|
Sub-Saharan Africa
|
Western Africa
|
2020-11-01
|
2020-11-10
|
26, 70
|
|
2019-04-01
|
2020-02-01
|
l’Agence Nationale de la Statistique et de la Démographie (ANSD)
|
|
|
|
|
|
|
|
|
|
|
454
|
237 |
SN2019DHS
|
SN
|
2019
|
DHS
|
Completed
|
Senegal
|
2019
|
581
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2020-11-01
|
2020-11-10
|
10, 31, 22, 70, 79, 80, 32, 26, 69, 14, 11, 17, 3, 85, 6, 4
|
|
2019-04-01
|
2019-12-01
|
l’Agence Nationale de la Statistique et de la Démographie (ANSD)
|
|
4538
|
All Women
|
8649
|
15
|
49
|
All Men
|
3365
|
15
|
59
|
|
238 |
SN2020MIS
|
SN
|
2020
|
MIS
|
Completed
|
Senegal
|
2020-21
|
587
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2022-01-15
|
2022-04-15
|
94, 70, 41, 89, 15, 78, 79, 92, 26, 57
|
The DHS Program provided limited technical assistance for this survey. All questions related to this survey should be sent to: Agence Nationale de la Statistique et de la Démographie (ANSD), Dakar, Senegal, E-mail : statsenegal@ansd.sn / lala.travare@ansd.sn, Web : www.ansd.sn.
|
2020-12-01
|
2021-01-01
|
ANSD
|
207
|
4920
|
All Women
|
10240
|
15
|
49
|
|
|
|
|
|
239 |
SN2023DHS
|
SN
|
2023
|
DHS
|
Completed
|
Senegal
|
2023
|
611
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2024-07-15
|
2024-07-11
|
16, 33, 31, 22, 70, 79, 92, 26, 69, 24, 21, 14, 57, 59, 11, 20, 60, 134, 30, 34, 3, 15, 78, 94, 13, 4, 39, 1, 10, 76, 114
|
|
2023-02-01
|
2023-08-01
|
ANSD
|
400
|
8423
|
All Women
|
16583
|
15
|
49
|
All Men
|
6321
|
15
|
59
|
|
240 |
SL2008DHS
|
SL
|
2008
|
DHS
|
Completed
|
Sierra Leone
|
2008
|
324
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2009-07-01
|
2009-12-14
|
24, 21, 23, 31, 20, 17, 36, 3, 5, 26, 34, 79, 14, 57, 69, 15, 41, 10, 101, 4, 1, 22, 33, 11, 104
|
|
2008-04-01
|
2008-06-01
|
Statistics Sierra Leone
|
353
|
7284
|
All Women
|
7374
|
15
|
49
|
All Men
|
3280
|
15
|
59
|
|
241 |
SL2013MIS
|
SL
|
2013
|
MIS
|
Completed
|
Sierra Leone
|
2013
|
448
|
0
|
Sub-Saharan Africa
|
Western Africa
|
2013-09-01
|
2014-06-09
|
57, 79, 26, 70, 41, 90, 89
|
The DHS Program was not centrally involved in this survey and cannot stand behind the quality of this survey.
|
2013-02-01
|
2013-03-01
|
Statistics Sierra Leone (SSL)
|
|
6720
|
All Women
|
6803
|
15
|
49
|
|
|
|
|
|
242 |
SL2013DHS
|
SL
|
2013
|
DHS
|
Completed
|
Sierra Leone
|
2013
|
450
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2014-07-01
|
2014-09-30
|
79, 59, 26, 34, 57, 11, 20, 3, 4, 6, 22, 101, 15, 41, 10, 31, 5, 23, 104, 33, 24, 21, 13, 69, 39, 1
|
|
2013-06-01
|
2013-10-01
|
Statistics Sierra Leone (SSL)
|
435
|
12629
|
All Women
|
16658
|
15
|
49
|
All Men
|
7262
|
15
|
59
|
|
243 |
SL2016MIS
|
SL
|
2016
|
MIS
|
Completed
|
Sierra Leone
|
2016
|
515
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2016-12-01
|
2017-09-21
|
41, 90, 89, 79, 70, 26, 57, 92
|
|
2016-07-01
|
2016-08-01
|
Catholic Relief Services (CRS)
|
336
|
6719
|
All Women
|
8501
|
15
|
49
|
|
|
|
|
|
244 |
SL2019DHS
|
SL
|
2019
|
DHS
|
Completed
|
Sierra Leone
|
2019
|
545
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2020-10-01
|
2020-12-11
|
11, 41, 23, 70, 100, 104, 1, 6, 4, 10, 26, 92, 22
|
|
2019-05-01
|
2019-08-01
|
Statistics Sierra Leone
|
578
|
13399
|
All Women
|
15574
|
15
|
49
|
All Men
|
7197
|
15
|
59
|
|
245 |
ZA2003DHS
|
ZA
|
2003
|
DHS
|
Completed
|
South Africa
|
2003
|
242
|
0
|
Sub-Saharan Africa
|
Southern Africa
|
2007-05-01
|
2008-08-14
|
57, 33, 43, 68, 59, 20, 34, 36, 6, 3, 11, 24, 21, 10, 26, 1, 101, 85, 79
|
|
2003-10-01
|
2004-08-01
|
Department of Health
|
630
|
7756
|
All Women
|
7401
|
15
|
49
|
All Men
|
3118
|
15
|
59
|
|
246 |
ZA2016DHS
|
ZA
|
2016
|
DHS
|
Completed
|
South Africa
|
2016
|
390
|
1
|
Sub-Saharan Africa
|
Southern Africa
|
2019-01-01
|
2019-01-30
|
26, 91, 22, 79, 16, 23, 11, 41, 10, 43, 68, 67, 6, 1, 85, 33, 76, 34, 36, 135, 104, 24, 70, 3, 63, 117, 21, 14, 59, 92
|
Other Data: Domestic Violence (women 18 and above in all households were eligible for DV - including women 50 to 95 years old).
|
2016-06-01
|
2016-11-01
|
Statistics South Africa (STATS SA)
|
750
|
11083
|
All Women
|
8514
|
15
|
49
|
All Men
|
3618
|
15
|
59
|
|
247 |
LK2006DHS
|
LK
|
2006
|
DHS
|
Completed
|
Sri Lanka
|
2006-07
|
315
|
0
|
South & Southeast Asia
|
South Asia
|
|
|
41, 10, 31, 22, 26, 24, 21, 14, 20, 17, 36, 13, 34, 16, 3, 88, 101, 79, 57
|
The report and data are not available from our website. Additional information about the 2006-07 SLDHS may be obtained from the Department of Census and Statistics, 15/12 Maitland Crescent, Colombo 7, Sri Lanka, Telephone: (94) 11-268-2176 or (94) 11-269¬2291; Fax: (94) 11-269-7594; Internet:www.statistics.gov.lk
|
2006-09-01
|
2007-10-01
|
Department of Census and Statistics
|
2106
|
19862
|
Ever Married Women
|
14692
|
15
|
49
|
|
|
|
|
|
248 |
TJ2012DHS
|
TJ
|
2012
|
DHS
|
Completed
|
Tajikistan
|
2012
|
384
|
1
|
Central Asia
|
Central Asia
|
2013-11-01
|
2013-11-20
|
31, 16, 24, 10, 6, 26, 21, 32, 75, 14, 20, 22, 34, 36, 13, 3, 68, 76, 30, 101, 33, 79, 93
|
|
2012-07-01
|
2012-09-01
|
Statistical Agency under President of the Republic of Tajikistan
|
354
|
6432
|
All Women
|
9656
|
15
|
49
|
|
|
|
|
|
249 |
TJ2017DHS
|
TJ
|
2017
|
DHS
|
Completed
|
Tajikistan
|
2017
|
521
|
1
|
Central Asia
|
Central Asia
|
2018-11-01
|
2018-12-14
|
67, 6, 94, 43, 68, 14, 3, 31, 22, 79, 63, 32, 24, 21, 23, 20, 17, 34, 60, 41, 10, 70, 30, 92, 93, 16, 26
|
|
2017-08-01
|
2017-11-01
|
Agency on Statistics under President of the Republic of Tajikistan
|
366
|
7843
|
All Women
|
10718
|
15
|
49
|
|
|
|
|
|
250 |
TZ1996DHS
|
TZ
|
1996
|
DHS
|
Completed
|
Tanzania
|
1996
|
82
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
1997-08-01
|
1997-08-01
|
1, 4, 10, 11, 21, 24, 26, 101, 3
|
|
1996-07-01
|
1996-11-01
|
Bureau of Statistics, Planning Commission
|
355
|
7969
|
All Women
|
8120
|
15
|
49
|
All Men
|
2256
|
15
|
59
|
|
251 |
TZ1999DHS
|
TZ
|
1999
|
DHS
|
Completed
|
Tanzania
|
1999
|
167
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2000-11-01
|
2000-11-01
|
31, 32, 10, 14, 11, 5, 24, 21, 26, 20, 17, 101, 57
|
|
1999-09-01
|
1999-11-01
|
Nat. Bureau of Statistics
|
250
|
3615
|
All Women
|
4029
|
15
|
49
|
All Men
|
3542
|
15
|
59
|
|
252 |
TZ2003AIS
|
TZ
|
2003
|
AIS
|
Completed
|
Tanzania
|
2003-04
|
234
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2005-03-01
|
2005-03-01
|
53, 59, 24, 23, 4, 79, 26, 101, 33, 104, 21, 11
|
|
2003-12-01
|
2004-03-01
|
National Bureau of Statistics
|
345
|
6499
|
All Women
|
6863
|
15
|
49
|
All Men
|
5659
|
15
|
49
|
|
253 |
TZ2007AIS
|
TZ
|
2007
|
AIS
|
Completed
|
Tanzania
|
2007-08
|
304
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2008-11-01
|
2009-03-05
|
24, 21, 23, 57, 26, 41, 36, 53, 37, 31, 59, 88, 101, 11, 104, 33, 89, 79
|
|
2007-10-01
|
2008-02-01
|
National Bureau of Statistics (NBS)
|
475
|
8497
|
All Women
|
9343
|
15
|
49
|
All Men
|
6975
|
15
|
49
|
|
254 |
TZ2010DHS
|
TZ
|
2010
|
DHS
|
Completed
|
Tanzania
|
2010
|
345
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2011-04-01
|
2011-05-26
|
26, 15, 41, 10, 22, 39, 24, 21, 14, 57, 8, 11, 20, 34, 13, 52, 6, 4, 1, 31, 37, 94, 69, 101, 65, 64, 33, 3, 59, 79
|
Other Biomarker: Salt, Urine & Vitamin A
|
2009-12-01
|
2010-05-01
|
National Bureau of Statistics
|
475
|
9623
|
All Women
|
10139
|
15
|
49
|
All Men
|
2527
|
15
|
49
|
|
255 |
TZ2012AIS
|
TZ
|
2012
|
AIS
|
Completed
|
Tanzania
|
2011-12
|
393
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2013-03-01
|
2013-03-27
|
41, 24, 21, 23, 26, 31, 59, 3, 53, 11, 57, 76, 69, 101, 104, 90, 89, 79
|
|
2011-12-01
|
2012-05-01
|
National Bureau of Statistics
|
583
|
10040
|
All Women
|
10967
|
15
|
49
|
All Men
|
8352
|
15
|
49
|
|
256 |
TZ2014SPA
|
TZ
|
2014
|
SPA
|
Completed
|
Tanzania
|
2014-15
|
401
|
0
|
Sub-Saharan Africa
|
Eastern Africa
|
2016-02-01
|
2016-02-22
|
26, 70
|
|
2014-10-01
|
2015-03-01
|
Tanzania National Bureau of Statistics, (NBS) and Zanzibar Office of Chief Government Statistician (OCGS), in collaboration with the Ministry of Health and Social Welfare (MOHSW)
|
1188
|
|
|
|
|
|
|
|
|
|
1188
|
257 |
TZ2015DHS
|
TZ
|
2015
|
DHS
|
Completed
|
Tanzania
|
2015-16
|
485
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2016-12-01
|
2016-12-15
|
31, 57, 14, 22, 15, 26, 59, 64, 13, 60, 79, 41, 11, 10, 38, 6, 4, 1, 78, 33, 69, 24, 21, 20, 17, 34, 3, 87, 89, 94
|
The complete name of this survey is: The 2015-16 Tanzania Demographic and Health Survey and Malaria Indicator Survey (2015-16 TDHS-MIS)
|
2015-08-01
|
2016-02-01
|
National Bureau of Statistics (NBS)
|
608
|
12563
|
All Women
|
13266
|
15
|
49
|
All Men
|
3514
|
15
|
59
|
|
258 |
TZ2017MIS
|
TZ
|
2017
|
MIS
|
Completed
|
Tanzania
|
2017
|
529
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2018-08-01
|
2018-10-22
|
70, 26, 92, 89, 57
|
|
2017-10-01
|
2017-12-01
|
The Tanzania National Bureau of Statistics
|
442
|
9330
|
All Women
|
10018
|
15
|
49
|
|
|
|
|
|
259 |
TZ2022DHS
|
TZ
|
2022
|
DHS
|
Completed
|
Tanzania
|
2022
|
578
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2023-10-15
|
2023-10-30
|
20, 106, 85, 6, 4, 70, 64, 52, 97, 1, 80, 15, 68, 78, 32, 108, 94, 36, 13, 43, 89, 131, 130, 132, 128, 127, 129, 134, 16, 33, 31, 22, 76, 79, 92, 26, 69, 24, 21, 14, 57, 59, 11, 60, 30, 34, 3, 41, 10, 122, 111
|
|
2022-03-01
|
2022-07-01
|
NBS
|
629
|
15705
|
All Women
|
15254
|
15
|
49
|
All Men
|
5763
|
15
|
49
|
|
260 |
TL2009DHS
|
TL
|
2009
|
DHS
|
Completed
|
Timor-Leste
|
2009-10
|
340
|
1
|
South & Southeast Asia
|
Southeast Asia
|
2010-12-01
|
2010-12-17
|
41, 10, 31, 57, 6, 1, 11, 26, 59, 33, 13, 36, 34, 24, 21, 8, 3, 22, 79, 101, 20, 17
|
|
2009-08-01
|
2010-02-01
|
Research of the National Statistics Directorate of the Ministry of Finance
|
455
|
11463
|
All Women
|
13137
|
15
|
49
|
All Men
|
4076
|
15
|
49
|
|
261 |
TL2016DHS
|
TL
|
2016
|
DHS
|
Completed
|
Timor-Leste
|
2016
|
514
|
1
|
South & Southeast Asia
|
Southeast Asia
|
2018-04-01
|
2018-04-10
|
33, 68, 79, 63, 80, 32, 24, 21, 14, 59, 20, 34, 36, 13, 57, 60, 3, 108, 31, 70, 41, 10, 85, 11, 6, 1, 53, 26, 92, 22, 107
|
|
2016-09-01
|
2016-12-01
|
The General Directorate of Statistics (GDS)
|
455
|
11502
|
All Women
|
12607
|
15
|
49
|
All Men
|
4622
|
15
|
59
|
|
262 |
TG1988DHS
|
TG
|
1988
|
DHS
|
Completed
|
Togo
|
1988
|
22
|
1
|
Sub-Saharan Africa
|
Western Africa
|
1988-12-01
|
1988-12-01
|
2, 10, 26, 79, 101
|
|
1988-06-01
|
1988-11-01
|
Unité de Recherches Démographiques, Direction de Statistiques, Direction Générale de la Santé, Office National de la Famille et de la Population
|
|
3432
|
All Women
|
3360
|
15
|
49
|
|
|
|
|
106
|
263 |
TG1998DHS
|
TG
|
1998
|
DHS
|
Completed
|
Togo
|
1998
|
114
|
1
|
Sub-Saharan Africa
|
Western Africa
|
1999-04-01
|
1999-04-01
|
1, 11, 21, 24, 10, 26, 101, 14, 3
|
|
1998-02-01
|
1998-05-01
|
Direction de la Statistique
|
|
7517
|
All Women
|
8569
|
15
|
49
|
All Men
|
3819
|
12
|
59
|
|
264 |
TG2013DHS
|
TG
|
2013
|
DHS
|
Completed
|
Togo
|
2013-14
|
328
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2015-01-01
|
2015-03-23
|
90, 89, 14, 11, 26, 101, 41, 104, 33, 67, 32, 57, 59, 5, 1, 39, 3, 15, 10, 24, 21, 23, 6, 4, 69, 34, 20, 13, 80, 79
|
|
2013-11-01
|
2014-04-01
|
General Directorate of Statistics and National Accounting (DGSCN)
|
330
|
9549
|
All Women
|
9480
|
15
|
49
|
All Men
|
4476
|
15
|
59
|
|
265 |
TG2017MIS
|
TG
|
2017
|
MIS
|
Completed
|
Togo
|
2017
|
497
|
1
|
Sub-Saharan Africa
|
Western Africa
|
2018-02-01
|
2018-08-08
|
70, 41, 90, 89, 57, 26, 119, 92
|
|
2017-10-01
|
2017-11-01
|
Institut National de la Statistique et des Etudes Economiques et Démographiques (INSEED)
|
171
|
5130
|
All Women
|
4895
|
15
|
49
|
|
|
|
|
|
266 |
UG2000DHS
|
UG
|
2000
|
DHS
|
Completed
|
Uganda
|
2000-01
|
169
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2001-12-01
|
2001-12-01
|
1, 5, 10, 11, 14, 15, 21, 24, 36, 3, 38, 22, 41, 52, 31, 13, 26, 101, 57, 33, 32
|
|
2000-09-01
|
2001-03-01
|
Uganda Bureau of Stat. (formerly Dept. of Stat.)
|
298
|
7885
|
All Women
|
7246
|
15
|
49
|
All Men
|
1962
|
15
|
54
|
|
267 |
UG2006DHS
|
UG
|
2006
|
DHS
|
Completed
|
Uganda
|
2006
|
266
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2007-08-01
|
2007-08-01
|
41, 36, 37, 57, 34, 3, 52, 79, 24, 21, 15, 10, 31, 22, 26, 14, 11, 20, 13, 6, 1, 88, 101, 39, 33, 8, 59, 17, 4, 85
|
|
2006-05-01
|
2006-10-01
|
Uganda Bureau of Statistics
|
368
|
8870
|
All Women
|
8531
|
15
|
49
|
All Men
|
2503
|
15
|
54
|
|
268 |
UG2007SPA
|
UG
|
2007
|
SPA
|
Completed
|
Uganda
|
2007
|
292
|
0
|
Sub-Saharan Africa
|
Eastern Africa
|
2008-08-01
|
2008-09-11
|
21, 8, 36, 26, 101
|
|
2007-07-01
|
2007-10-01
|
Ministry of Health (MOH) Quality of Assurance Division
|
630
|
|
|
|
|
|
|
|
|
|
630
|
269 |
UG2009MIS
|
UG
|
2009
|
MIS
|
Completed
|
Uganda
|
2009
|
332
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2010-08-01
|
2010-11-16
|
41, 26, 57, 101, 79, 90, 89, 119
|
|
2009-11-01
|
2010-01-01
|
Uganda Bureau of Statistics (UBOS), the Uganda Malaria Surveillance Project Molecular Laboratory at Mulago Hospital, and the National Malaria Control Programme of the Uganda Ministry of Health
|
170
|
4421
|
All Women
|
4134
|
15
|
49
|
|
|
|
|
|
270 |
UG2011AIS
|
UG
|
2011
|
AIS
|
Completed
|
Uganda
|
2011
|
373
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2012-08-01
|
2012-09-18
|
81, 83, 33, 11, 40, 3, 26, 31, 24, 21, 59, 88, 105, 23, 70, 79
|
UGOD6A*.ZIP are data from the Field Rapid HIV Test.
|
2011-02-01
|
2011-09-01
|
Ministry of Health
|
470
|
11340
|
All Women
|
12153
|
15
|
59
|
All Men
|
9588
|
15
|
59
|
|
271 |
UG2011DHS
|
UG
|
2011
|
DHS
|
Completed
|
Uganda
|
2011
|
399
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2012-08-01
|
2012-10-05
|
41, 14, 52, 59, 22, 17, 34, 3, 31, 24, 21, 57, 11, 20, 13, 6, 1, 69, 26, 33, 10, 32, 39, 4, 85, 78, 79, 88
|
|
2011-06-01
|
2011-12-01
|
Uganda Bureau of Statistics (UBOS)
|
400
|
9033
|
All Women
|
8674
|
15
|
49
|
All Men
|
2295
|
15
|
54
|
|
272 |
UG2014MIS
|
UG
|
2014
|
MIS
|
Completed
|
Uganda
|
2014-15
|
484
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2015-10-01
|
2015-11-06
|
90, 89, 57, 79, 101, 26, 41, 119
|
|
2014-12-01
|
2015-01-01
|
The Uganda Bureau of Statistics (UBOS)
|
210
|
5345
|
All Women
|
5322
|
15
|
49
|
|
|
|
|
|
273 |
UG2016DHS
|
UG
|
2016
|
DHS
|
Completed
|
Uganda
|
2016
|
504
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2018-01-01
|
2018-03-12
|
70, 24, 21, 11, 6, 4, 1, 10, 52, 31, 22, 67, 79, 85, 69, 14, 20, 17, 34, 57, 60, 3, 89, 80, 32, 41, 39, 26, 92, 103
|
|
2016-06-01
|
2016-12-01
|
Uganda Bureau of Statistics (UBOS)
|
696
|
19588
|
All Women
|
18506
|
15
|
49
|
All Men
|
5336
|
15
|
54
|
|
274 |
UG2018MIS
|
UG
|
2018
|
MIS
|
Completed
|
Uganda
|
2018-19
|
549
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2020-03-01
|
2020-04-23
|
41, 90, 92, 106, 124, 119, 70, 89, 79, 26, 57, 17
|
|
2018-12-01
|
2019-02-01
|
The Uganda Bureau of Statistics (UBOS) and National Malaria Control Programme (NMCP)
|
342
|
8351
|
All Women
|
8231
|
15
|
59
|
|
|
|
|
|
275 |
UZ2002OTH
|
UZ
|
2002
|
OTH
|
Completed
|
Uzbekistan
|
2002
|
213
|
0
|
Central Asia
|
Central Asia
|
2004-04-01
|
2004-04-01
|
36, 16, 24, 21, 15, 10, 31, 32, 26, 30, 13, 3, 41, 43, 44, 46, 47, 48, 50, 52, 11, 101, 33, 63, 79
|
Health Examination Survey
|
2002-09-01
|
2002-12-01
|
Analytical and Information Center of the Ministry of Health of Uzbekistan and National Department of Statistics of Uzbekistan
|
219
|
4168
|
All Women
|
5463
|
15
|
49
|
All Men
|
2333
|
15
|
59
|
|
276 |
YE2013DHS
|
YE
|
2013
|
DHS
|
Completed
|
Yemen
|
2013
|
358
|
1
|
North Africa/West Asia/Europe
|
West Asia
|
2015-07-01
|
2015-07-13
|
4, 1, 15, 41, 21, 69, 79, 6, 101, 108, 13, 5, 74, 10, 31, 67, 14, 34, 39, 20, 22, 3, 26, 85
|
|
2013-09-01
|
2013-11-01
|
Ministry of Public Health and Population (MoPHP)
|
800
|
17351
|
All Women
|
25434
|
15
|
49
|
|
|
|
|
|
277 |
ZM2002DHS
|
ZM
|
2002
|
DHS
|
Completed
|
Zambia
|
2001-02
|
206
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2003-02-01
|
2003-02-01
|
24, 26, 57, 3, 33, 34, 13, 21, 11, 17, 6, 1, 40, 79, 23, 10, 14, 101, 20, 32, 94, 105
|
GPS dataset is incomplete. There is no possibility of linking the HIV Test data to the survey data.
|
2001-11-01
|
2002-05-01
|
Central Statistical Office
|
320
|
7126
|
All Women
|
7658
|
15
|
49
|
All Men
|
2145
|
15
|
59
|
|
278 |
ZM2005SPA
|
ZM
|
2005
|
SPA
|
Completed
|
Zambia
|
2005
|
263
|
0
|
Sub-Saharan Africa
|
Eastern Africa
|
2006-07-01
|
2006-07-01
|
21, 36, 8, 26, 101
|
|
2005-07-01
|
2005-08-01
|
Central Statistical Office/Central Board of Health
|
450
|
|
|
|
|
|
|
|
|
|
450
|
279 |
ZM2007DHS
|
ZM
|
2007
|
DHS
|
Completed
|
Zambia
|
2007
|
278
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2009-03-01
|
2009-03-26
|
24, 21, 23, 33, 10, 31, 22, 26, 11, 37, 6, 36, 40, 57, 1, 3, 34, 20, 17, 69, 79, 88, 101, 59, 104, 94
|
Although testing salt for iodine appears in the household questionnare, it was not implemented.
|
2007-04-01
|
2007-10-01
|
Central Statistical Office
|
320
|
7164
|
All Women
|
7146
|
15
|
49
|
All Men
|
6500
|
15
|
59
|
|
280 |
ZM2013DHS
|
ZM
|
2013
|
DHS
|
Completed
|
Zambia
|
2013-14
|
406
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2015-03-01
|
2015-03-31
|
10, 11, 6, 79, 33, 31, 39, 24, 21, 14, 57, 59, 20, 22, 17, 34, 36, 13, 1, 60, 3, 69, 26, 23, 101, 104
|
The HIV Test Data includes: CD4 Cell Count Testing
|
2013-08-01
|
2014-04-01
|
The Central Statistics Office (CSO)
|
722
|
15920
|
All Women
|
16411
|
15
|
49
|
All Men
|
14773
|
15
|
59
|
|
281 |
ZM2018DHS
|
ZM
|
2018
|
DHS
|
Completed
|
Zambia
|
2018
|
542
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2020-01-01
|
2020-02-18
|
41, 10, 39, 23, 14, 6, 1, 59, 92, 26, 100, 17, 60, 31, 32, 57, 70, 11, 22, 20, 13, 68, 63, 69, 34, 79, 104, 91
|
|
2018-07-01
|
2019-01-01
|
Central Statistical Office (CSO)
|
545
|
12831
|
All Women
|
13683
|
15
|
49
|
All Men
|
12132
|
15
|
59
|
|
282 |
ZW1999DHS
|
ZW
|
1999
|
DHS
|
Completed
|
Zimbabwe
|
1999
|
184
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2000-12-31
|
2000-12-31
|
1, 11, 21, 22, 24, 31, 33, 20, 79, 26, 34, 3, 101, 10, 32, 13
|
Although testing salt for iodine and anemia testing appear in household questionnare, they were not implemented.
|
1999-09-01
|
1999-12-01
|
Central Statistical Office
|
230
|
6369
|
All Women
|
5907
|
15
|
49
|
All Men
|
2609
|
15
|
54
|
|
283 |
ZW2005DHS
|
ZW
|
2005
|
DHS
|
Completed
|
Zimbabwe
|
2005-06
|
260
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2007-03-01
|
2007-03-01
|
32, 24, 21, 23, 15, 10, 22, 26, 11, 6, 1, 3, 36, 31, 57, 37, 20, 34, 59, 79, 69, 41, 94, 101, 88, 104, 33
|
|
2005-08-01
|
2006-02-01
|
Central Statistical Office
|
400
|
9285
|
All Women
|
8907
|
15
|
49
|
All Men
|
7175
|
15
|
54
|
|
284 |
ZW2010DHS
|
ZW
|
2010
|
DHS
|
Completed
|
Zimbabwe
|
2010-11
|
367
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2012-03-01
|
2012-04-05
|
33, 17, 3, 79, 69, 24, 21, 23, 41, 10, 31, 22, 32, 26, 14, 57, 59, 11, 20, 34, 13, 6, 1, 104, 70
|
|
2010-09-01
|
2011-03-01
|
Central Statistical Office
|
406
|
9756
|
All Women
|
9171
|
15
|
49
|
All Men
|
7480
|
15
|
54
|
|
285 |
ZW2015DHS
|
ZW
|
2015
|
DHS
|
Completed
|
Zimbabwe
|
2015
|
475
|
1
|
Sub-Saharan Africa
|
Eastern Africa
|
2016-11-01
|
2016-12-13
|
81, 15, 24, 21, 91, 92, 22, 41, 10, 6, 1, 70, 11, 79, 31, 32, 14, 57, 33, 76, 26, 69, 59, 34, 13, 60, 3, 104, 23, 94
|
The HIV Test data contain results for children 0-5 years, minors aged 6-14 years, and adult men and women. For the children and minors, the household weight (HV005) is used for analysis, and for adult men and women, the HIV weight (HIV05) is used.
|
2015-07-01
|
2015-12-01
|
Zimbabwe National Statistics Agency (ZIMSTAT), National Microbiology Reference Laboratory (NMRL) for the HIV component
|
400
|
10534
|
All Women
|
9955
|
15
|
49
|
All Men
|
8396
|
15
|
54
|
|
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