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Response
Page 1 of 1
(326 of 326 records)
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# |
DataId |
Indicator |
Value |
Precision |
DHS_CountryCode |
CountryName |
SurveyYear |
SurveyId |
IndicatorId |
IndicatorOrder |
IndicatorType |
CharacteristicId |
CharacteristicOrder |
CharacteristicCategory |
CharacteristicLabel |
ByVariableId |
ByVariableLabel |
IsTotal |
IsPreferred |
SDRID |
RegionId |
SurveyYearLabel |
SurveyType |
DenominatorWeighted |
DenominatorUnweighted |
CILow |
CIHigh |
LevelRank |
1 |
51603
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
119
|
0
|
AF
|
Afghanistan
|
2015
|
AF2015DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2015
|
DHS
|
|
|
|
|
|
2 |
51604
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
84
|
0
|
AF
|
Afghanistan
|
2015
|
AF2015DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2015
|
DHS
|
|
|
|
|
|
3 |
13745
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
110
|
0
|
AO
|
Angola
|
2015
|
AO2015DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2015-16
|
DHS
|
|
|
|
|
|
4 |
13741
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
182
|
0
|
AO
|
Angola
|
2015
|
AO2015DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2015-16
|
DHS
|
|
|
|
|
|
5 |
10454
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
166
|
0
|
BF
|
Burkina Faso
|
1999
|
BF1999DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1998-99
|
DHS
|
|
|
|
|
|
6 |
10452
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
196
|
0
|
BF
|
Burkina Faso
|
1999
|
BF1999DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1998-99
|
DHS
|
|
|
|
|
|
7 |
10498
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
158
|
0
|
BF
|
Burkina Faso
|
2003
|
BF2003DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2003
|
DHS
|
|
|
|
|
|
8 |
10482
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
200
|
0
|
BF
|
Burkina Faso
|
2003
|
BF2003DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2003
|
DHS
|
|
|
|
|
|
9 |
756878
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
146
|
0
|
BF
|
Burkina Faso
|
2010
|
BF2010DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2010
|
DHS
|
|
|
|
|
|
10 |
756882
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
145
|
0
|
BF
|
Burkina Faso
|
2010
|
BF2010DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2010
|
DHS
|
|
|
|
|
|
11 |
153023
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
76
|
0
|
BF
|
Burkina Faso
|
2021
|
BF2021DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2021
|
DHS
|
|
|
|
|
|
12 |
153022
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
100
|
0
|
BF
|
Burkina Faso
|
2021
|
BF2021DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2021
|
DHS
|
|
|
|
|
|
13 |
10535
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
116
|
0
|
BJ
|
Benin
|
1996
|
BJ1996DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1996
|
DHS
|
|
|
|
|
|
14 |
10534
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
139
|
0
|
BJ
|
Benin
|
1996
|
BJ1996DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1996
|
DHS
|
|
|
|
|
|
15 |
10603
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
127
|
0
|
BJ
|
Benin
|
2006
|
BJ2006DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2006
|
DHS
|
|
|
|
|
|
16 |
10591
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
162
|
0
|
BJ
|
Benin
|
2006
|
BJ2006DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2006
|
DHS
|
|
|
|
|
|
17 |
15132
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
111
|
0
|
BJ
|
Benin
|
2017
|
BJ2017DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2017-18
|
DHS
|
|
|
|
|
|
18 |
15120
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
153
|
0
|
BJ
|
Benin
|
2017
|
BJ2017DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2017-18
|
DHS
|
|
|
|
|
|
19 |
10488
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
110
|
0
|
BO
|
Bolivia
|
1994
|
BO1994DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1994
|
DHS
|
|
|
|
|
|
20 |
10483
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
134
|
0
|
BO
|
Bolivia
|
1994
|
BO1994DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1994
|
DHS
|
|
|
|
|
|
21 |
749794
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
86
|
0
|
BO
|
Bolivia
|
2003
|
BO2003DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2003
|
DHS
|
|
|
|
|
|
22 |
749792
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
106
|
0
|
BO
|
Bolivia
|
2003
|
BO2003DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2003
|
DHS
|
|
|
|
|
|
23 |
10529
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
69
|
0
|
BO
|
Bolivia
|
2008
|
BO2008DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2008
|
DHS
|
|
|
|
|
|
24 |
10525
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
85
|
0
|
BO
|
Bolivia
|
2008
|
BO2008DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2008
|
DHS
|
|
|
|
|
|
25 |
10565
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
53
|
0
|
BR
|
Brazil
|
1996
|
BR1996DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1996
|
DHS
|
|
|
|
|
|
26 |
10561
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
125
|
0
|
BR
|
Brazil
|
1996
|
BR1996DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1996
|
DHS
|
|
|
|
|
|
27 |
10570
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
145
|
0
|
BU
|
Burundi
|
2010
|
BU2010DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2010
|
DHS
|
|
|
|
|
|
28 |
10556
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
179
|
0
|
BU
|
Burundi
|
2010
|
BU2010DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2010
|
DHS
|
|
|
|
|
|
29 |
16953
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
129
|
0
|
BU
|
Burundi
|
2016
|
BU2016DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2016-17
|
DHS
|
|
|
|
|
|
30 |
16957
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
177
|
0
|
BU
|
Burundi
|
2016
|
BU2016DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2016-17
|
DHS
|
|
|
|
|
|
31 |
10626
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
214
|
0
|
CD
|
Congo Democratic Republic
|
2007
|
CD2007DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2007
|
DHS
|
|
|
|
|
|
32 |
10627
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
243
|
0
|
CD
|
Congo Democratic Republic
|
2007
|
CD2007DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2007
|
DHS
|
|
|
|
|
|
33 |
172850
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
186
|
0
|
CD
|
Congo Democratic Republic
|
2013
|
CD2013DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2013-14
|
DHS
|
|
|
|
|
|
34 |
172846
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
192
|
0
|
CD
|
Congo Democratic Republic
|
2013
|
CD2013DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2013-14
|
DHS
|
|
|
|
|
|
35 |
186720
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
143
|
0
|
CD
|
Congo Democratic Republic
|
2023
|
CD2023DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2023-24
|
DHS
|
|
|
|
|
|
36 |
186710
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
181
|
0
|
CD
|
Congo Democratic Republic
|
2023
|
CD2023DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2023-24
|
DHS
|
|
|
|
|
|
37 |
10499
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
291
|
0
|
CF
|
Central African Republic
|
1994
|
CF1994DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1994-95
|
DHS
|
|
|
|
|
|
38 |
10489
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
294
|
0
|
CF
|
Central African Republic
|
1994
|
CF1994DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1994-95
|
DHS
|
|
|
|
|
|
39 |
10639
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
228
|
0
|
CG
|
Congo
|
2005
|
CG2005DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2005
|
DHS
|
|
|
|
|
|
40 |
10628
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
254
|
0
|
CG
|
Congo
|
2005
|
CG2005DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2005
|
DHS
|
|
|
|
|
|
41 |
10693
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
201
|
0
|
CG
|
Congo
|
2011
|
CG2011DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2011-12
|
DHS
|
|
|
|
|
|
42 |
10678
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
173
|
0
|
CG
|
Congo
|
2011
|
CG2011DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2011-12
|
DHS
|
|
|
|
|
|
43 |
10566
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
183
|
0
|
CI
|
Cote d'Ivoire
|
1994
|
CI1994DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1994
|
DHS
|
|
|
|
|
|
44 |
10562
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
212
|
0
|
CI
|
Cote d'Ivoire
|
1994
|
CI1994DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1994
|
DHS
|
|
|
|
|
|
45 |
12603
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
225
|
0
|
CI
|
Cote d'Ivoire
|
2005
|
CI2005AIS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2005
|
AIS
|
|
|
|
|
|
46 |
12602
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
265
|
0
|
CI
|
Cote d'Ivoire
|
2005
|
CI2005AIS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2005
|
AIS
|
|
|
|
|
|
47 |
13949
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
227
|
0
|
CI
|
Cote d'Ivoire
|
2012
|
CI2012DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2011-12
|
DHS
|
|
|
|
|
|
48 |
13947
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
205
|
0
|
CI
|
Cote d'Ivoire
|
2012
|
CI2012DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2011-12
|
DHS
|
|
|
|
|
|
49 |
153043
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
143
|
0
|
CI
|
Cote d'Ivoire
|
2021
|
CI2021DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2021
|
DHS
|
|
|
|
|
|
50 |
153074
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
146
|
0
|
CI
|
Cote d'Ivoire
|
2021
|
CI2021DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2021
|
DHS
|
|
|
|
|
|
51 |
10587
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
139
|
0
|
CM
|
Cameroon
|
1998
|
CM1998DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1998
|
DHS
|
|
|
|
|
|
52 |
10580
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
182
|
0
|
CM
|
Cameroon
|
1998
|
CM1998DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1998
|
DHS
|
|
|
|
|
|
53 |
10651
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
227
|
0
|
CM
|
Cameroon
|
2004
|
CM2004DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2004
|
DHS
|
|
|
|
|
|
54 |
10647
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
242
|
0
|
CM
|
Cameroon
|
2004
|
CM2004DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2004
|
DHS
|
|
|
|
|
|
55 |
363721
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
228
|
0
|
CM
|
Cameroon
|
2011
|
CM2011DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2011
|
DHS
|
|
|
|
|
|
56 |
363722
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
232
|
0
|
CM
|
Cameroon
|
2011
|
CM2011DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2011
|
DHS
|
|
|
|
|
|
57 |
14967
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
155
|
0
|
CM
|
Cameroon
|
2018
|
CM2018DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2018
|
DHS
|
|
|
|
|
|
58 |
14963
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
185
|
0
|
CM
|
Cameroon
|
2018
|
CM2018DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2018
|
DHS
|
|
|
|
|
|
59 |
13939
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
50
|
0
|
CO
|
Colombia
|
2015
|
CO2015DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2015
|
DHS
|
|
|
|
|
|
60 |
13813
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
105
|
0
|
CO
|
Colombia
|
2015
|
CO2015DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2015
|
DHS
|
|
|
|
|
|
61 |
10900
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
65
|
0
|
DR
|
Dominican Republic
|
2002
|
DR2002DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2002
|
DHS
|
|
|
|
|
|
62 |
10899
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
124
|
0
|
DR
|
Dominican Republic
|
2002
|
DR2002DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2002
|
DHS
|
|
|
|
|
|
63 |
796929
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
61
|
0
|
DR
|
Dominican Republic
|
2007
|
DR2007DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2007
|
DHS
|
|
|
|
|
|
64 |
796925
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
115
|
0
|
DR
|
Dominican Republic
|
2007
|
DR2007DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2007
|
DHS
|
|
|
|
|
|
65 |
10694
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
184
|
0
|
ER
|
Eritrea
|
1995
|
ER1995DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1995
|
DHS
|
|
|
|
|
|
66 |
10688
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
200
|
0
|
ER
|
Eritrea
|
1995
|
ER1995DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1995
|
DHS
|
|
|
|
|
|
67 |
10666
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
221
|
0
|
ET
|
Ethiopia
|
2000
|
ET2000DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2000
|
DHS
|
|
|
|
|
|
68 |
10662
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
275
|
0
|
ET
|
Ethiopia
|
2000
|
ET2000DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2000
|
DHS
|
|
|
|
|
|
69 |
10652
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
217
|
0
|
ET
|
Ethiopia
|
2005
|
ET2005DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2005
|
DHS
|
|
|
|
|
|
70 |
10648
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
207
|
0
|
ET
|
Ethiopia
|
2005
|
ET2005DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2005
|
DHS
|
|
|
|
|
|
71 |
10751
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
157
|
0
|
ET
|
Ethiopia
|
2011
|
ET2011DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2011
|
DHS
|
|
|
|
|
|
72 |
10748
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
181
|
0
|
ET
|
Ethiopia
|
2011
|
ET2011DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2011
|
DHS
|
|
|
|
|
|
73 |
300104
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
100
|
0
|
ET
|
Ethiopia
|
2016
|
ET2016DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2016
|
DHS
|
|
|
|
|
|
74 |
300099
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
124
|
0
|
ET
|
Ethiopia
|
2016
|
ET2016DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2016
|
DHS
|
|
|
|
|
|
75 |
10735
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
183
|
0
|
GA
|
Gabon
|
2000
|
GA2000DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2000
|
DHS
|
|
|
|
|
|
76 |
10726
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
214
|
0
|
GA
|
Gabon
|
2000
|
GA2000DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2000
|
DHS
|
|
|
|
|
|
77 |
10710
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
148
|
0
|
GA
|
Gabon
|
2012
|
GA2012DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2012
|
DHS
|
|
|
|
|
|
78 |
10709
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
171
|
0
|
GA
|
Gabon
|
2012
|
GA2012DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2012
|
DHS
|
|
|
|
|
|
79 |
153094
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
138
|
0
|
GA
|
Gabon
|
2019
|
GA2019DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2019-21
|
DHS
|
|
|
|
|
|
80 |
153092
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
122
|
0
|
GA
|
Gabon
|
2019
|
GA2019DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2019-21
|
DHS
|
|
|
|
|
|
81 |
10784
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
99
|
0
|
GM
|
Gambia
|
2013
|
GM2013DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2013
|
DHS
|
|
|
|
|
|
82 |
10782
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
102
|
0
|
GM
|
Gambia
|
2013
|
GM2013DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2013
|
DHS
|
|
|
|
|
|
83 |
50368
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
114
|
0
|
GM
|
Gambia
|
2019
|
GM2019DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2019-20
|
DHS
|
|
|
|
|
|
84 |
50358
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
124
|
0
|
GM
|
Gambia
|
2019
|
GM2019DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2019-20
|
DHS
|
|
|
|
|
|
85 |
10749
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
131
|
0
|
GN
|
Guinea
|
1999
|
GN1999DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1999
|
DHS
|
|
|
|
|
|
86 |
10747
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
157
|
0
|
GN
|
Guinea
|
1999
|
GN1999DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1999
|
DHS
|
|
|
|
|
|
87 |
10758
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
197
|
0
|
GN
|
Guinea
|
2005
|
GN2005DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2005
|
DHS
|
|
|
|
|
|
88 |
10729
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
200
|
0
|
GN
|
Guinea
|
2005
|
GN2005DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2005
|
DHS
|
|
|
|
|
|
89 |
16578
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
173
|
0
|
GN
|
Guinea
|
2012
|
GN2012DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2012
|
DHS
|
|
|
|
|
|
90 |
16569
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
173
|
0
|
GN
|
Guinea
|
2012
|
GN2012DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2012
|
DHS
|
|
|
|
|
|
91 |
10769
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
64
|
0
|
GU
|
Guatemala
|
1995
|
GU1995DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1995
|
DHS
|
|
|
|
|
|
92 |
10778
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
113
|
0
|
GU
|
Guatemala
|
1995
|
GU1995DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1995
|
DHS
|
|
|
|
|
|
93 |
13777
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
51
|
0
|
GU
|
Guatemala
|
2015
|
GU2015DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2014-15
|
DHS
|
|
|
|
|
|
94 |
13770
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
115
|
0
|
GU
|
Guatemala
|
2015
|
GU2015DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2014-15
|
DHS
|
|
|
|
|
|
95 |
10807
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
216
|
0
|
HT
|
Haiti
|
2000
|
HT2000DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2000
|
DHS
|
|
|
|
|
|
96 |
10804
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
195
|
0
|
HT
|
Haiti
|
2000
|
HT2000DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2000
|
DHS
|
|
|
|
|
|
97 |
10819
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
184
|
0
|
HT
|
Haiti
|
2006
|
HT2006DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2005-06
|
DHS
|
|
|
|
|
|
98 |
10813
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
178
|
0
|
HT
|
Haiti
|
2006
|
HT2006DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2005-06
|
DHS
|
|
|
|
|
|
99 |
14328
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
144
|
0
|
HT
|
Haiti
|
2016
|
HT2016DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2016-17
|
DHS
|
|
|
|
|
|
100 |
14333
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
177
|
0
|
HT
|
Haiti
|
2016
|
HT2016DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2016-17
|
DHS
|
|
|
|
|
|
101 |
388426
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
91
|
0
|
ID
|
Indonesia
|
1994
|
ID1994DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1994
|
DHS
|
|
|
|
|
|
102 |
388424
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
104
|
0
|
ID
|
Indonesia
|
1994
|
ID1994DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1994
|
DHS
|
|
|
|
|
|
103 |
747356
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
67
|
0
|
ID
|
Indonesia
|
1997
|
ID1997DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1997
|
DHS
|
|
|
|
|
|
104 |
747355
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
82
|
0
|
ID
|
Indonesia
|
1997
|
ID1997DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1997
|
DHS
|
|
|
|
|
|
105 |
10845
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
71
|
0
|
ID
|
Indonesia
|
2003
|
ID2003DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2002-03
|
DHS
|
|
|
|
|
|
106 |
10848
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
75
|
0
|
ID
|
Indonesia
|
2003
|
ID2003DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2002-03
|
DHS
|
|
|
|
|
|
107 |
10866
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
69
|
0
|
ID
|
Indonesia
|
2007
|
ID2007DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2007
|
DHS
|
|
|
|
|
|
108 |
10865
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
91
|
0
|
ID
|
Indonesia
|
2007
|
ID2007DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2007
|
DHS
|
|
|
|
|
|
109 |
10929
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
80
|
0
|
ID
|
Indonesia
|
2012
|
ID2012DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2012
|
DHS
|
|
|
|
|
|
110 |
10925
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
97
|
0
|
ID
|
Indonesia
|
2012
|
ID2012DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2012
|
DHS
|
|
|
|
|
|
111 |
10980
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
32
|
0
|
JO
|
Jordan
|
1997
|
JO1997DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1997
|
DHS
|
|
|
|
|
|
112 |
10964
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
52
|
0
|
JO
|
Jordan
|
1997
|
JO1997DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1997
|
DHS
|
|
|
|
|
|
113 |
10873
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
169
|
0
|
KE
|
Kenya
|
1998
|
KE1998DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1998
|
DHS
|
|
|
|
|
|
114 |
10869
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
184
|
0
|
KE
|
Kenya
|
1998
|
KE1998DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1998
|
DHS
|
|
|
|
|
|
115 |
10875
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
235
|
0
|
KE
|
Kenya
|
2003
|
KE2003DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2003
|
DHS
|
|
|
|
|
|
116 |
10874
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
240
|
0
|
KE
|
Kenya
|
2003
|
KE2003DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2003
|
DHS
|
|
|
|
|
|
117 |
10995
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
214
|
0
|
KE
|
Kenya
|
2008
|
KE2008DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2008-09
|
DHS
|
|
|
|
|
|
118 |
10954
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
231
|
0
|
KE
|
Kenya
|
2008
|
KE2008DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2008-09
|
DHS
|
|
|
|
|
|
119 |
15741
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
138
|
0
|
KE
|
Kenya
|
2014
|
KE2014DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2014
|
DHS
|
|
|
|
|
|
120 |
15731
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
183
|
0
|
KE
|
Kenya
|
2014
|
KE2014DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2014
|
DHS
|
|
|
|
|
|
121 |
10922
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
124
|
0
|
KH
|
Cambodia
|
2000
|
KH2000DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2000
|
DHS
|
|
|
|
|
|
122 |
10920
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
163
|
0
|
KH
|
Cambodia
|
2000
|
KH2000DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2000
|
DHS
|
|
|
|
|
|
123 |
10970
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
115
|
0
|
KH
|
Cambodia
|
2005
|
KH2005DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2005
|
DHS
|
|
|
|
|
|
124 |
10960
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
185
|
0
|
KH
|
Cambodia
|
2005
|
KH2005DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2005
|
DHS
|
|
|
|
|
|
125 |
499017
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
94
|
0
|
KH
|
Cambodia
|
2010
|
KH2010DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2010
|
DHS
|
|
|
|
|
|
126 |
498995
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
147
|
0
|
KH
|
Cambodia
|
2010
|
KH2010DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2010
|
DHS
|
|
|
|
|
|
127 |
14500
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
75
|
0
|
KH
|
Cambodia
|
2014
|
KH2014DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2014
|
DHS
|
|
|
|
|
|
128 |
14496
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
129
|
0
|
KH
|
Cambodia
|
2014
|
KH2014DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2014
|
DHS
|
|
|
|
|
|
129 |
761648
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
48
|
0
|
KH
|
Cambodia
|
2021
|
KH2021DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2021-22
|
DHS
|
|
|
|
|
|
130 |
761646
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
102
|
0
|
KH
|
Cambodia
|
2021
|
KH2021DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2021-22
|
DHS
|
|
|
|
|
|
131 |
10999
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
66
|
0
|
KM
|
Comoros
|
2012
|
KM2012DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2012
|
DHS
|
|
|
|
|
|
132 |
10981
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
66
|
0
|
KM
|
Comoros
|
2012
|
KM2012DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2012
|
DHS
|
|
|
|
|
|
133 |
10997
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
164
|
0
|
LB
|
Liberia
|
2007
|
LB2007DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2007
|
DHS
|
|
|
|
|
|
134 |
11003
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
186
|
0
|
LB
|
Liberia
|
2007
|
LB2007DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2007
|
DHS
|
|
|
|
|
|
135 |
800525
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
176
|
0
|
LB
|
Liberia
|
2013
|
LB2013DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2013
|
DHS
|
|
|
|
|
|
136 |
800524
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
151
|
0
|
LB
|
Liberia
|
2013
|
LB2013DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2013
|
DHS
|
|
|
|
|
|
137 |
577033
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
173
|
0
|
LB
|
Liberia
|
2019
|
LB2019DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2019-20
|
DHS
|
|
|
|
|
|
138 |
577028
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
189
|
0
|
LB
|
Liberia
|
2019
|
LB2019DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2019-20
|
DHS
|
|
|
|
|
|
139 |
11047
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
394
|
0
|
LS
|
Lesotho
|
2004
|
LS2004DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2004
|
DHS
|
|
|
|
|
|
140 |
11057
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
470
|
0
|
LS
|
Lesotho
|
2004
|
LS2004DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2004
|
DHS
|
|
|
|
|
|
141 |
783907
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
446
|
0
|
LS
|
Lesotho
|
2009
|
LS2009DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2009
|
DHS
|
|
|
|
|
|
142 |
783899
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
535
|
0
|
LS
|
Lesotho
|
2009
|
LS2009DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2009
|
DHS
|
|
|
|
|
|
143 |
12450
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
436
|
0
|
LS
|
Lesotho
|
2014
|
LS2014DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2014
|
DHS
|
|
|
|
|
|
144 |
12449
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
476
|
0
|
LS
|
Lesotho
|
2014
|
LS2014DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2014
|
DHS
|
|
|
|
|
|
145 |
182165
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
180
|
0
|
LS
|
Lesotho
|
2023
|
LS2023DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2023-24
|
DHS
|
|
|
|
|
|
146 |
182180
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
228
|
0
|
LS
|
Lesotho
|
2023
|
LS2023DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2023-24
|
DHS
|
|
|
|
|
|
147 |
11002
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
63
|
0
|
MA
|
Morocco
|
1992
|
MA1992DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1992
|
DHS
|
|
|
|
|
|
148 |
10951
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
67
|
0
|
MA
|
Morocco
|
1992
|
MA1992DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1992
|
DHS
|
|
|
|
|
|
149 |
102354
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
42
|
0
|
MA
|
Morocco
|
2003
|
MA2003DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2003-04
|
DHS
|
|
|
|
|
|
150 |
102353
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
58
|
0
|
MA
|
Morocco
|
2003
|
MA2003DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2003-04
|
DHS
|
|
|
|
|
|
151 |
11075
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
180
|
0
|
MD
|
Madagascar
|
1992
|
MD1992DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1992
|
DHS
|
|
|
|
|
|
152 |
11083
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
205
|
0
|
MD
|
Madagascar
|
1992
|
MD1992DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1992
|
DHS
|
|
|
|
|
|
153 |
443062
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
152
|
0
|
MD
|
Madagascar
|
1997
|
MD1997DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1997
|
DHS
|
|
|
|
|
|
154 |
443063
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
199
|
0
|
MD
|
Madagascar
|
1997
|
MD1997DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1997
|
DHS
|
|
|
|
|
|
155 |
14655
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
125
|
0
|
MD
|
Madagascar
|
2004
|
MD2004DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2003-04
|
DHS
|
|
|
|
|
|
156 |
14657
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
150
|
0
|
MD
|
Madagascar
|
2004
|
MD2004DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2003-04
|
DHS
|
|
|
|
|
|
157 |
11006
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
147
|
0
|
MD
|
Madagascar
|
2008
|
MD2008DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2008-09
|
DHS
|
|
|
|
|
|
158 |
11007
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
156
|
0
|
MD
|
Madagascar
|
2008
|
MD2008DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2008-09
|
DHS
|
|
|
|
|
|
159 |
11056
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
139
|
0
|
ML
|
Mali
|
1996
|
ML1996DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1995-96
|
DHS
|
|
|
|
|
|
160 |
11040
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
148
|
0
|
ML
|
Mali
|
1996
|
ML1996DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1995-96
|
DHS
|
|
|
|
|
|
161 |
11046
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
172
|
0
|
ML
|
Mali
|
2001
|
ML2001DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2001
|
DHS
|
|
|
|
|
|
162 |
11036
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
182
|
0
|
ML
|
Mali
|
2001
|
ML2001DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2001
|
DHS
|
|
|
|
|
|
163 |
11064
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
147
|
0
|
ML
|
Mali
|
2006
|
ML2006DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2006
|
DHS
|
|
|
|
|
|
164 |
11094
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
170
|
0
|
ML
|
Mali
|
2006
|
ML2006DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2006
|
DHS
|
|
|
|
|
|
165 |
15127
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
101
|
0
|
ML
|
Mali
|
2012
|
ML2012DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2012-13
|
DHS
|
|
|
|
|
|
166 |
15119
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
105
|
0
|
ML
|
Mali
|
2012
|
ML2012DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2012-13
|
DHS
|
|
|
|
|
|
167 |
16922
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
135
|
0
|
ML
|
Mali
|
2018
|
ML2018DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2018
|
DHS
|
|
|
|
|
|
168 |
16927
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
137
|
0
|
ML
|
Mali
|
2018
|
ML2018DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2018
|
DHS
|
|
|
|
|
|
169 |
15205
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
72
|
0
|
MM
|
Myanmar
|
2016
|
MM2016DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2015-16
|
DHS
|
|
|
|
|
|
170 |
15196
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
163
|
0
|
MM
|
Myanmar
|
2016
|
MM2016DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2015-16
|
DHS
|
|
|
|
|
|
171 |
11095
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
108
|
0
|
MR
|
Mauritania
|
2000
|
MR2000DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2000-01
|
DHS
|
|
|
|
|
|
172 |
11109
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
104
|
0
|
MR
|
Mauritania
|
2000
|
MR2000DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2000-01
|
DHS
|
|
|
|
|
|
173 |
92509
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
92
|
0
|
MR
|
Mauritania
|
2020
|
MR2020DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2019-21
|
DHS
|
|
|
|
|
|
174 |
92514
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
95
|
0
|
MR
|
Mauritania
|
2020
|
MR2020DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2019-21
|
DHS
|
|
|
|
|
|
175 |
11088
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
223
|
0
|
MW
|
Malawi
|
1992
|
MW1992DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1992
|
DHS
|
|
|
|
|
|
176 |
11092
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
223
|
0
|
MW
|
Malawi
|
1992
|
MW1992DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1992
|
DHS
|
|
|
|
|
|
177 |
11223
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
373
|
0
|
MW
|
Malawi
|
2000
|
MW2000DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2000
|
DHS
|
|
|
|
|
|
178 |
11224
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
391
|
0
|
MW
|
Malawi
|
2000
|
MW2000DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2000
|
DHS
|
|
|
|
|
|
179 |
790223
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
388
|
0
|
MW
|
Malawi
|
2004
|
MW2004DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2004
|
DHS
|
|
|
|
|
|
180 |
790222
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
385
|
0
|
MW
|
Malawi
|
2004
|
MW2004DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2004
|
DHS
|
|
|
|
|
|
181 |
11177
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
305
|
0
|
MW
|
Malawi
|
2010
|
MW2010DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2010
|
DHS
|
|
|
|
|
|
182 |
11116
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
341
|
0
|
MW
|
Malawi
|
2010
|
MW2010DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2010
|
DHS
|
|
|
|
|
|
183 |
15747
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
184
|
0
|
MW
|
Malawi
|
2015
|
MW2015DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2015-16
|
DHS
|
|
|
|
|
|
184 |
15759
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
218
|
0
|
MW
|
Malawi
|
2015
|
MW2015DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2015-16
|
DHS
|
|
|
|
|
|
185 |
769080
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
119
|
0
|
MZ
|
Mozambique
|
1997
|
MZ1997DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1997
|
DHS
|
|
|
|
|
|
186 |
769086
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
177
|
0
|
MZ
|
Mozambique
|
1997
|
MZ1997DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1997
|
DHS
|
|
|
|
|
|
187 |
12690
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
215
|
0
|
MZ
|
Mozambique
|
2003
|
MZ2003DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2003
|
DHS
|
|
|
|
|
|
188 |
12687
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
235
|
0
|
MZ
|
Mozambique
|
2003
|
MZ2003DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2003
|
DHS
|
|
|
|
|
|
189 |
150644
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
199
|
0
|
MZ
|
Mozambique
|
2011
|
MZ2011DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2011
|
DHS
|
|
|
|
|
|
190 |
150643
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
241
|
0
|
MZ
|
Mozambique
|
2011
|
MZ2011DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2011
|
DHS
|
|
|
|
|
|
191 |
153078
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
135
|
0
|
MZ
|
Mozambique
|
2022
|
MZ2022DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2022-23
|
DHS
|
|
|
|
|
|
192 |
153072
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
166
|
0
|
MZ
|
Mozambique
|
2022
|
MZ2022DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2022-23
|
DHS
|
|
|
|
|
|
193 |
11089
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
161
|
0
|
NG
|
Nigeria
|
2008
|
NG2008DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2008
|
DHS
|
|
|
|
|
|
194 |
11131
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
168
|
0
|
NG
|
Nigeria
|
2008
|
NG2008DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2008
|
DHS
|
|
|
|
|
|
195 |
11137
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
124
|
0
|
NG
|
Nigeria
|
2013
|
NG2013DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2013
|
DHS
|
|
|
|
|
|
196 |
11136
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
123
|
0
|
NG
|
Nigeria
|
2013
|
NG2013DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2013
|
DHS
|
|
|
|
|
|
197 |
16002
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
117
|
0
|
NG
|
Nigeria
|
2018
|
NG2018DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2018
|
DHS
|
|
|
|
|
|
198 |
16000
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
122
|
0
|
NG
|
Nigeria
|
2018
|
NG2018DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2018
|
DHS
|
|
|
|
|
|
199 |
11300
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
177
|
0
|
NI
|
Niger
|
1992
|
NI1992DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1992
|
DHS
|
|
|
|
|
|
200 |
11299
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
143
|
0
|
NI
|
Niger
|
1992
|
NI1992DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1992
|
DHS
|
|
|
|
|
|
201 |
714602
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
141
|
0
|
NI
|
Niger
|
2006
|
NI2006DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2006
|
DHS
|
|
|
|
|
|
202 |
714642
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
121
|
0
|
NI
|
Niger
|
2006
|
NI2006DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2006
|
DHS
|
|
|
|
|
|
203 |
11271
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
128
|
0
|
NI
|
Niger
|
2012
|
NI2012DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2012
|
DHS
|
|
|
|
|
|
204 |
11257
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
136
|
0
|
NI
|
Niger
|
2012
|
NI2012DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2012
|
DHS
|
|
|
|
|
|
205 |
11270
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
125
|
0
|
NM
|
Namibia
|
1992
|
NM1992DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1992
|
DHS
|
|
|
|
|
|
206 |
11265
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
219
|
0
|
NM
|
Namibia
|
1992
|
NM1992DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1992
|
DHS
|
|
|
|
|
|
207 |
11342
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
180
|
0
|
NM
|
Namibia
|
2000
|
NM2000DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2000
|
DHS
|
|
|
|
|
|
208 |
11308
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
263
|
0
|
NM
|
Namibia
|
2000
|
NM2000DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2000
|
DHS
|
|
|
|
|
|
209 |
11252
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
318
|
0
|
NM
|
Namibia
|
2006
|
NM2006DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2006-07
|
DHS
|
|
|
|
|
|
210 |
11226
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
404
|
0
|
NM
|
Namibia
|
2006
|
NM2006DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2006-07
|
DHS
|
|
|
|
|
|
211 |
344909
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
164
|
0
|
NM
|
Namibia
|
2013
|
NM2013DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2013
|
DHS
|
|
|
|
|
|
212 |
344910
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
244
|
0
|
NM
|
Namibia
|
2013
|
NM2013DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2013
|
DHS
|
|
|
|
|
|
213 |
650079
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
129
|
0
|
NP
|
Nepal
|
1996
|
NP1996DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1996
|
DHS
|
|
|
|
|
|
214 |
650078
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
112
|
0
|
NP
|
Nepal
|
1996
|
NP1996DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1996
|
DHS
|
|
|
|
|
|
215 |
11304
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
81
|
0
|
NP
|
Nepal
|
2006
|
NP2006DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2006
|
DHS
|
|
|
|
|
|
216 |
11307
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
97
|
0
|
NP
|
Nepal
|
2006
|
NP2006DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2006
|
DHS
|
|
|
|
|
|
217 |
92268
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
73
|
0
|
NP
|
Nepal
|
2016
|
NP2016DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2016
|
DHS
|
|
|
|
|
|
218 |
92267
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
89
|
0
|
NP
|
Nepal
|
2016
|
NP2016DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2016
|
DHS
|
|
|
|
|
|
219 |
608466
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
73
|
0
|
PE
|
Peru
|
1992
|
PE1992DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1991-92
|
DHS
|
|
|
|
|
|
220 |
608479
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
99
|
0
|
PE
|
Peru
|
1992
|
PE1992DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1991-92
|
DHS
|
|
|
|
|
|
221 |
11534
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
68
|
0
|
PE
|
Peru
|
1996
|
PE1996DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1996
|
DHS
|
|
|
|
|
|
222 |
11459
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
100
|
0
|
PE
|
Peru
|
1996
|
PE1996DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1996
|
DHS
|
|
|
|
|
|
223 |
11509
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
50
|
0
|
PE
|
Peru
|
2000
|
PE2000DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2000
|
DHS
|
|
|
|
|
|
224 |
11389
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
75
|
0
|
PE
|
Peru
|
2000
|
PE2000DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2000
|
DHS
|
|
|
|
|
|
225 |
11514
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
46
|
0
|
PE
|
Peru
|
2004
|
PE2004DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2004-06
|
DHS
|
|
|
|
|
|
226 |
11510
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
71
|
0
|
PE
|
Peru
|
2004
|
PE2004DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2004-06
|
DHS
|
|
|
|
|
|
227 |
11338
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
47
|
0
|
PE
|
Peru
|
2007
|
PE2007DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2007-08
|
DHS
|
|
|
|
|
|
228 |
11331
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
66
|
0
|
PE
|
Peru
|
2007
|
PE2007DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2007-08
|
DHS
|
|
|
|
|
|
229 |
11367
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
36
|
0
|
PE
|
Peru
|
2011
|
PE2011DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2011
|
DHS
|
|
|
|
|
|
230 |
11365
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
71
|
0
|
PE
|
Peru
|
2011
|
PE2011DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2011
|
DHS
|
|
|
|
|
|
231 |
51052
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
92
|
0
|
PG
|
Papua New Guinea
|
2017
|
PG2017DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2016-18
|
DHS
|
|
|
|
|
|
232 |
51051
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
107
|
0
|
PG
|
Papua New Guinea
|
2017
|
PG2017DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2016-18
|
DHS
|
|
|
|
|
|
233 |
11351
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
67
|
0
|
PH
|
Philippines
|
1993
|
PH1993DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1993
|
DHS
|
|
|
|
|
|
234 |
11349
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
132
|
0
|
PH
|
Philippines
|
1993
|
PH1993DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1993
|
DHS
|
|
|
|
|
|
235 |
11395
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
69
|
0
|
PH
|
Philippines
|
1998
|
PH1998DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1998
|
DHS
|
|
|
|
|
|
236 |
11415
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
129
|
0
|
PH
|
Philippines
|
1998
|
PH1998DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1998
|
DHS
|
|
|
|
|
|
237 |
12624
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
549
|
0
|
RW
|
Rwanda
|
2000
|
RW2000DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2000
|
DHS
|
|
|
|
|
|
238 |
12623
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
740
|
0
|
RW
|
Rwanda
|
2000
|
RW2000DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2000
|
DHS
|
|
|
|
|
|
239 |
11409
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
249
|
0
|
RW
|
Rwanda
|
2005
|
RW2005DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2005
|
DHS
|
|
|
|
|
|
240 |
11401
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
281
|
0
|
RW
|
Rwanda
|
2005
|
RW2005DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2005
|
DHS
|
|
|
|
|
|
241 |
383376
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
124
|
0
|
RW
|
Rwanda
|
2010
|
RW2010DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2010
|
DHS
|
|
|
|
|
|
242 |
383375
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
155
|
0
|
RW
|
Rwanda
|
2010
|
RW2010DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2010
|
DHS
|
|
|
|
|
|
243 |
12506
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
88
|
0
|
RW
|
Rwanda
|
2015
|
RW2015DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2014-15
|
DHS
|
|
|
|
|
|
244 |
12500
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
124
|
0
|
RW
|
Rwanda
|
2015
|
RW2015DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2014-15
|
DHS
|
|
|
|
|
|
245 |
51060
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
74
|
0
|
RW
|
Rwanda
|
2019
|
RW2019DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2019-20
|
DHS
|
|
|
|
|
|
246 |
51059
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
121
|
0
|
RW
|
Rwanda
|
2019
|
RW2019DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2019-20
|
DHS
|
|
|
|
|
|
247 |
11515
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
186
|
0
|
SL
|
Sierra Leone
|
2008
|
SL2008DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2008
|
DHS
|
|
|
|
|
|
248 |
11511
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
218
|
0
|
SL
|
Sierra Leone
|
2008
|
SL2008DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2008
|
DHS
|
|
|
|
|
|
249 |
17862
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
181
|
0
|
SL
|
Sierra Leone
|
2013
|
SL2013DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2013
|
DHS
|
|
|
|
|
|
250 |
17863
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
176
|
0
|
SL
|
Sierra Leone
|
2013
|
SL2013DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2013
|
DHS
|
|
|
|
|
|
251 |
51240
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
168
|
0
|
SL
|
Sierra Leone
|
2019
|
SL2019DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2019
|
DHS
|
|
|
|
|
|
252 |
51238
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
198
|
0
|
SL
|
Sierra Leone
|
2019
|
SL2019DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2019
|
DHS
|
|
|
|
|
|
253 |
518457
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
111
|
0
|
SN
|
Senegal
|
1993
|
SN1993DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1992-93
|
DHS
|
|
|
|
|
|
254 |
518458
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
127
|
0
|
SN
|
Senegal
|
1993
|
SN1993DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1992-93
|
DHS
|
|
|
|
|
|
255 |
11394
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
114
|
0
|
SN
|
Senegal
|
2005
|
SN2005DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2005
|
DHS
|
|
|
|
|
|
256 |
11397
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
128
|
0
|
SN
|
Senegal
|
2005
|
SN2005DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2005
|
DHS
|
|
|
|
|
|
257 |
11437
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
114
|
0
|
SN
|
Senegal
|
2010
|
SN2010DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2010-11
|
DHS
|
|
|
|
|
|
258 |
11432
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
115
|
0
|
SN
|
Senegal
|
2010
|
SN2010DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2010-11
|
DHS
|
|
|
|
|
|
259 |
14968
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
59
|
0
|
SN
|
Senegal
|
2017
|
SN2017DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2017
|
DHS
|
|
|
|
|
|
260 |
14965
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
74
|
0
|
SN
|
Senegal
|
2017
|
SN2017DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2017
|
DHS
|
|
|
|
|
|
261 |
153031
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
63
|
0
|
SN
|
Senegal
|
2023
|
SN2023DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2023
|
DHS
|
|
|
|
|
|
262 |
153030
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
74
|
0
|
SN
|
Senegal
|
2023
|
SN2023DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2023
|
DHS
|
|
|
|
|
|
263 |
11524
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
102
|
0
|
ST
|
Sao Tome and Principe
|
2008
|
ST2008DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2008-09
|
DHS
|
|
|
|
|
|
264 |
11522
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
151
|
0
|
ST
|
Sao Tome and Principe
|
2008
|
ST2008DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2008-09
|
DHS
|
|
|
|
|
|
265 |
11565
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
447
|
0
|
SZ
|
Eswatini
|
2006
|
SZ2006DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2006-07
|
DHS
|
|
|
|
|
|
266 |
11564
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
495
|
0
|
SZ
|
Eswatini
|
2006
|
SZ2006DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2006-07
|
DHS
|
|
|
|
|
|
267 |
11471
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
164
|
0
|
TD
|
Chad
|
1997
|
TD1997DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1996-97
|
DHS
|
|
|
|
|
|
268 |
11449
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
164
|
0
|
TD
|
Chad
|
1997
|
TD1997DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1996-97
|
DHS
|
|
|
|
|
|
269 |
11503
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
196
|
0
|
TD
|
Chad
|
2004
|
TD2004DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2004
|
DHS
|
|
|
|
|
|
270 |
11472
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
181
|
0
|
TD
|
Chad
|
2004
|
TD2004DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2004
|
DHS
|
|
|
|
|
|
271 |
24283
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
163
|
0
|
TD
|
Chad
|
2014
|
TD2014DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2014-15
|
DHS
|
|
|
|
|
|
272 |
24282
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
189
|
0
|
TD
|
Chad
|
2014
|
TD2014DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2014-15
|
DHS
|
|
|
|
|
|
273 |
11518
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
132
|
0
|
TG
|
Togo
|
1998
|
TG1998DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1998
|
DHS
|
|
|
|
|
|
274 |
11463
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
158
|
0
|
TG
|
Togo
|
1998
|
TG1998DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1998
|
DHS
|
|
|
|
|
|
275 |
11562
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
170
|
0
|
TG
|
Togo
|
2013
|
TG2013DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2013-14
|
DHS
|
|
|
|
|
|
276 |
11563
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
176
|
0
|
TG
|
Togo
|
2013
|
TG2013DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2013-14
|
DHS
|
|
|
|
|
|
277 |
11642
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
86
|
0
|
TL
|
Timor-Leste
|
2009
|
TL2009DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2009-10
|
DHS
|
|
|
|
|
|
278 |
11628
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
76
|
0
|
TL
|
Timor-Leste
|
2009
|
TL2009DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2009-10
|
DHS
|
|
|
|
|
|
279 |
14403
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
83
|
0
|
TL
|
Timor-Leste
|
2016
|
TL2016DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2016
|
DHS
|
|
|
|
|
|
280 |
14393
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
103
|
0
|
TL
|
Timor-Leste
|
2016
|
TL2016DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2016
|
DHS
|
|
|
|
|
|
281 |
11587
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
163
|
0
|
TZ
|
Tanzania
|
1996
|
TZ1996DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1996
|
DHS
|
|
|
|
|
|
282 |
11580
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
214
|
0
|
TZ
|
Tanzania
|
1996
|
TZ1996DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1996
|
DHS
|
|
|
|
|
|
283 |
11573
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
236
|
0
|
TZ
|
Tanzania
|
2004
|
TZ2004DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2004-05
|
DHS
|
|
|
|
|
|
284 |
11568
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
242
|
0
|
TZ
|
Tanzania
|
2004
|
TZ2004DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2004-05
|
DHS
|
|
|
|
|
|
285 |
11598
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
196
|
0
|
TZ
|
Tanzania
|
2010
|
TZ2010DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2010
|
DHS
|
|
|
|
|
|
286 |
11579
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
195
|
0
|
TZ
|
Tanzania
|
2010
|
TZ2010DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2010
|
DHS
|
|
|
|
|
|
287 |
16292
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
173
|
0
|
TZ
|
Tanzania
|
2015
|
TZ2015DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2015-16
|
DHS
|
|
|
|
|
|
288 |
16291
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
181
|
0
|
TZ
|
Tanzania
|
2015
|
TZ2015DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2015-16
|
DHS
|
|
|
|
|
|
289 |
153112
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
110
|
0
|
TZ
|
Tanzania
|
2022
|
TZ2022DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2022
|
DHS
|
|
|
|
|
|
290 |
153098
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
137
|
0
|
TZ
|
Tanzania
|
2022
|
TZ2022DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2022
|
DHS
|
|
|
|
|
|
291 |
11586
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
307
|
0
|
UG
|
Uganda
|
1995
|
UG1995DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1995
|
DHS
|
|
|
|
|
|
292 |
11572
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
365
|
0
|
UG
|
Uganda
|
1995
|
UG1995DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1995
|
DHS
|
|
|
|
|
|
293 |
11602
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
303
|
0
|
UG
|
Uganda
|
2000
|
UG2000DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2000-01
|
DHS
|
|
|
|
|
|
294 |
11601
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
366
|
0
|
UG
|
Uganda
|
2000
|
UG2000DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2000-01
|
DHS
|
|
|
|
|
|
295 |
11593
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
295
|
0
|
UG
|
Uganda
|
2006
|
UG2006DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2006
|
DHS
|
|
|
|
|
|
296 |
11592
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
352
|
0
|
UG
|
Uganda
|
2006
|
UG2006DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2006
|
DHS
|
|
|
|
|
|
297 |
13958
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
201
|
0
|
UG
|
Uganda
|
2011
|
UG2011DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2011
|
DHS
|
|
|
|
|
|
298 |
13957
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
252
|
0
|
UG
|
Uganda
|
2011
|
UG2011DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2011
|
DHS
|
|
|
|
|
|
299 |
14272
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
144
|
0
|
UG
|
Uganda
|
2016
|
UG2016DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2016
|
DHS
|
|
|
|
|
|
300 |
14256
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
223
|
0
|
UG
|
Uganda
|
2016
|
UG2016DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2016
|
DHS
|
|
|
|
|
|
301 |
791712
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
82
|
0
|
YE
|
Yemen
|
1997
|
YE1997DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1997
|
DHS
|
|
|
|
|
|
302 |
791711
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
82
|
0
|
YE
|
Yemen
|
1997
|
YE1997DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1997
|
DHS
|
|
|
|
|
|
303 |
11646
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
103
|
0
|
ZA
|
South Africa
|
1998
|
ZA1998DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1998
|
DHS
|
|
|
|
|
|
304 |
11619
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
213
|
0
|
ZA
|
South Africa
|
1998
|
ZA1998DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1998
|
DHS
|
|
|
|
|
|
305 |
15130
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
213
|
0
|
ZA
|
South Africa
|
2016
|
ZA2016DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2016
|
DHS
|
|
|
|
|
|
306 |
15124
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
234
|
0
|
ZA
|
South Africa
|
2016
|
ZA2016DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2016
|
DHS
|
|
|
|
|
|
307 |
11662
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
353
|
0
|
ZM
|
Zambia
|
1996
|
ZM1996DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1996
|
DHS
|
|
|
|
|
|
308 |
11663
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
407
|
0
|
ZM
|
Zambia
|
1996
|
ZM1996DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1996
|
DHS
|
|
|
|
|
|
309 |
11691
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
446
|
0
|
ZM
|
Zambia
|
2002
|
ZM2002DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2001-02
|
DHS
|
|
|
|
|
|
310 |
11680
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
471
|
0
|
ZM
|
Zambia
|
2002
|
ZM2002DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2001-02
|
DHS
|
|
|
|
|
|
311 |
11796
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
421
|
0
|
ZM
|
Zambia
|
2007
|
ZM2007DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2007
|
DHS
|
|
|
|
|
|
312 |
11795
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
415
|
0
|
ZM
|
Zambia
|
2007
|
ZM2007DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2007
|
DHS
|
|
|
|
|
|
313 |
11735
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
294
|
0
|
ZM
|
Zambia
|
2013
|
ZM2013DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2013-14
|
DHS
|
|
|
|
|
|
314 |
11733
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
330
|
0
|
ZM
|
Zambia
|
2013
|
ZM2013DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2013-14
|
DHS
|
|
|
|
|
|
315 |
16269
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
167
|
0
|
ZM
|
Zambia
|
2018
|
ZM2018DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2018
|
DHS
|
|
|
|
|
|
316 |
16270
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
234
|
0
|
ZM
|
Zambia
|
2018
|
ZM2018DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2018
|
DHS
|
|
|
|
|
|
317 |
11705
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
142
|
0
|
ZW
|
Zimbabwe
|
1994
|
ZW1994DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1994
|
DHS
|
|
|
|
|
|
318 |
11684
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
202
|
0
|
ZW
|
Zimbabwe
|
1994
|
ZW1994DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1994
|
DHS
|
|
|
|
|
|
319 |
797207
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
289
|
0
|
ZW
|
Zimbabwe
|
1999
|
ZW1999DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
1999
|
DHS
|
|
|
|
|
|
320 |
797206
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
382
|
0
|
ZW
|
Zimbabwe
|
1999
|
ZW1999DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
1999
|
DHS
|
|
|
|
|
|
321 |
13776
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
443
|
0
|
ZW
|
Zimbabwe
|
2005
|
ZW2005DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2005-06
|
DHS
|
|
|
|
|
|
322 |
13755
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
494
|
0
|
ZW
|
Zimbabwe
|
2005
|
ZW2005DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2005-06
|
DHS
|
|
|
|
|
|
323 |
11699
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
395
|
0
|
ZW
|
Zimbabwe
|
2010
|
ZW2010DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2010-11
|
DHS
|
|
|
|
|
|
324 |
11698
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
428
|
0
|
ZW
|
Zimbabwe
|
2010
|
ZW2010DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2010-11
|
DHS
|
|
|
|
|
|
325 |
15602
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
282
|
0
|
ZW
|
Zimbabwe
|
2015
|
ZW2015DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2015
|
DHS
|
|
|
|
|
|
326 |
15605
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
300
|
0
|
ZW
|
Zimbabwe
|
2015
|
ZW2015DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2015
|
DHS
|
|
|
|
|
|
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