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Response
Page 1 of 1
(330 of 330 records)
|
|
| # |
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 |
231945
|
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 |
231946
|
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 |
174384
|
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 |
174382
|
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 |
383635
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
89
|
0
|
AO
|
Angola
|
2023
|
AO2023DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2023-24
|
DHS
|
|
|
|
|
|
| 6 |
383638
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
150
|
0
|
AO
|
Angola
|
2023
|
AO2023DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2023-24
|
DHS
|
|
|
|
|
|
| 7 |
171712
|
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
|
|
|
|
|
|
| 8 |
171711
|
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
|
|
|
|
|
|
| 9 |
171735
|
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
|
|
|
|
|
|
| 10 |
171742
|
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
|
|
|
|
|
|
| 11 |
109192
|
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
|
|
|
|
|
|
| 12 |
109193
|
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
|
|
|
|
|
|
| 13 |
337108
|
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
|
|
|
|
|
|
| 14 |
337135
|
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
|
|
|
|
|
|
| 15 |
171633
|
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
|
|
|
|
|
|
| 16 |
171653
|
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
|
|
|
|
|
|
| 17 |
171835
|
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
|
|
|
|
|
|
| 18 |
171832
|
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
|
|
|
|
|
|
| 19 |
177034
|
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
|
|
|
|
|
|
| 20 |
177047
|
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
|
|
|
|
|
|
| 21 |
171732
|
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
|
|
|
|
|
|
| 22 |
171737
|
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
|
|
|
|
|
|
| 23 |
128636
|
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
|
|
|
|
|
|
| 24 |
128635
|
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
|
|
|
|
|
|
| 25 |
171649
|
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
|
|
|
|
|
|
| 26 |
171644
|
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
|
|
|
|
|
|
| 27 |
171654
|
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
|
|
|
|
|
|
| 28 |
171645
|
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
|
|
|
|
|
|
| 29 |
171681
|
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
|
|
|
|
|
|
| 30 |
171668
|
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
|
|
|
|
|
|
| 31 |
200145
|
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
|
|
|
|
|
|
| 32 |
200139
|
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
|
|
|
|
|
|
| 33 |
171851
|
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
|
|
|
|
|
|
| 34 |
171850
|
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
|
|
|
|
|
|
| 35 |
357976
|
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
|
|
|
|
|
|
| 36 |
357977
|
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
|
|
|
|
|
|
| 37 |
371192
|
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
|
|
|
|
|
|
| 38 |
371199
|
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
|
|
|
|
|
|
| 39 |
171752
|
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
|
|
|
|
|
|
| 40 |
171751
|
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
|
|
|
|
|
|
| 41 |
171784
|
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
|
|
|
|
|
|
| 42 |
171783
|
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
|
|
|
|
|
|
| 43 |
171873
|
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
|
|
|
|
|
|
| 44 |
171879
|
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
|
|
|
|
|
|
| 45 |
171697
|
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
|
|
|
|
|
|
| 46 |
171696
|
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
|
|
|
|
|
|
| 47 |
173678
|
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
|
|
|
|
|
|
| 48 |
173677
|
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
|
|
|
|
|
|
| 49 |
175031
|
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
|
|
|
|
|
|
| 50 |
175028
|
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
|
|
|
|
|
|
| 51 |
337212
|
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
|
|
|
|
|
|
| 52 |
337202
|
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
|
|
|
|
|
|
| 53 |
171726
|
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
|
|
|
|
|
|
| 54 |
171724
|
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
|
|
|
|
|
|
| 55 |
171785
|
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
|
|
|
|
|
|
| 56 |
171789
|
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
|
|
|
|
|
|
| 57 |
171729
|
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
|
|
|
|
|
|
| 58 |
171714
|
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
|
|
|
|
|
|
| 59 |
199394
|
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
|
|
|
|
|
|
| 60 |
199382
|
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
|
|
|
|
|
|
| 61 |
174728
|
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
|
|
|
|
|
|
| 62 |
174730
|
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
|
|
|
|
|
|
| 63 |
171882
|
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
|
|
|
|
|
|
| 64 |
171887
|
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
|
|
|
|
|
|
| 65 |
153321
|
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
|
|
|
|
|
|
| 66 |
153323
|
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
|
|
|
|
|
|
| 67 |
171893
|
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
|
|
|
|
|
|
| 68 |
171905
|
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
|
|
|
|
|
|
| 69 |
171818
|
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
|
|
|
|
|
|
| 70 |
171807
|
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
|
|
|
|
|
|
| 71 |
171822
|
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
|
|
|
|
|
|
| 72 |
171798
|
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
|
|
|
|
|
|
| 73 |
171962
|
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
|
|
|
|
|
|
| 74 |
171964
|
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
|
|
|
|
|
|
| 75 |
439012
|
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
|
|
|
|
|
|
| 76 |
439017
|
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
|
|
|
|
|
|
| 77 |
172056
|
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
|
|
|
|
|
|
| 78 |
172061
|
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
|
|
|
|
|
|
| 79 |
171926
|
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
|
|
|
|
|
|
| 80 |
171927
|
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
|
|
|
|
|
|
| 81 |
337420
|
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
|
|
|
|
|
|
| 82 |
337422
|
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
|
|
|
|
|
|
| 83 |
171995
|
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
|
|
|
|
|
|
| 84 |
171992
|
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
|
|
|
|
|
|
| 85 |
232000
|
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
|
|
|
|
|
|
| 86 |
232001
|
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
|
|
|
|
|
|
| 87 |
171930
|
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
|
|
|
|
|
|
| 88 |
171929
|
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
|
|
|
|
|
|
| 89 |
172073
|
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
|
|
|
|
|
|
| 90 |
172069
|
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
|
|
|
|
|
|
| 91 |
199278
|
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
|
|
|
|
|
|
| 92 |
199276
|
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
|
|
|
|
|
|
| 93 |
171981
|
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
|
|
|
|
|
|
| 94 |
171982
|
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
|
|
|
|
|
|
| 95 |
174653
|
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
|
|
|
|
|
|
| 96 |
174651
|
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
|
|
|
|
|
|
| 97 |
172033
|
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
|
|
|
|
|
|
| 98 |
171994
|
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
|
|
|
|
|
|
| 99 |
172121
|
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
|
|
|
|
|
|
| 100 |
172085
|
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
|
|
|
|
|
|
| 101 |
176379
|
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
|
|
|
|
|
|
| 102 |
176392
|
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
|
|
|
|
|
|
| 103 |
806372
|
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
|
|
|
|
|
|
| 104 |
806369
|
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
|
|
|
|
|
|
| 105 |
126692
|
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
|
|
|
|
|
|
| 106 |
126690
|
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
|
|
|
|
|
|
| 107 |
172106
|
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
|
|
|
|
|
|
| 108 |
172104
|
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
|
|
|
|
|
|
| 109 |
172111
|
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
|
|
|
|
|
|
| 110 |
172115
|
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
|
|
|
|
|
|
| 111 |
172182
|
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
|
|
|
|
|
|
| 112 |
172190
|
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
|
|
|
|
|
|
| 113 |
172147
|
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
|
|
|
|
|
|
| 114 |
172146
|
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
|
|
|
|
|
|
| 115 |
172117
|
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
|
|
|
|
|
|
| 116 |
172109
|
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
|
|
|
|
|
|
| 117 |
172159
|
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
|
|
|
|
|
|
| 118 |
172191
|
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
|
|
|
|
|
|
| 119 |
172277
|
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
|
|
|
|
|
|
| 120 |
172270
|
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
|
|
|
|
|
|
| 121 |
198945
|
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
|
|
|
|
|
|
| 122 |
198946
|
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
|
|
|
|
|
|
| 123 |
172152
|
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
|
|
|
|
|
|
| 124 |
172171
|
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
|
|
|
|
|
|
| 125 |
172183
|
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
|
|
|
|
|
|
| 126 |
172194
|
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
|
|
|
|
|
|
| 127 |
653847
|
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
|
|
|
|
|
|
| 128 |
653846
|
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
|
|
|
|
|
|
| 129 |
176075
|
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
|
|
|
|
|
|
| 130 |
176076
|
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
|
|
|
|
|
|
| 131 |
117544
|
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
|
|
|
|
|
|
| 132 |
117546
|
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
|
|
|
|
|
|
| 133 |
172197
|
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
|
|
|
|
|
|
| 134 |
172196
|
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
|
|
|
|
|
|
| 135 |
172224
|
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
|
|
|
|
|
|
| 136 |
172218
|
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
|
|
|
|
|
|
| 137 |
135573
|
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
|
|
|
|
|
|
| 138 |
135572
|
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
|
|
|
|
|
|
| 139 |
822977
|
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
|
|
|
|
|
|
| 140 |
822978
|
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
|
|
|
|
|
|
| 141 |
172364
|
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
|
|
|
|
|
|
| 142 |
172379
|
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
|
|
|
|
|
|
| 143 |
142562
|
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
|
|
|
|
|
|
| 144 |
142565
|
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
|
|
|
|
|
|
| 145 |
173428
|
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
|
|
|
|
|
|
| 146 |
173491
|
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
|
|
|
|
|
|
| 147 |
365703
|
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
|
|
|
|
|
|
| 148 |
365709
|
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
|
|
|
|
|
|
| 149 |
172318
|
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
|
|
|
|
|
|
| 150 |
172282
|
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
|
|
|
|
|
|
| 151 |
290933
|
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
|
|
|
|
|
|
| 152 |
290926
|
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
|
|
|
|
|
|
| 153 |
172331
|
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
|
|
|
|
|
|
| 154 |
172327
|
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
|
|
|
|
|
|
| 155 |
101737
|
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
|
|
|
|
|
|
| 156 |
101738
|
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
|
|
|
|
|
|
| 157 |
176389
|
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
|
|
|
|
|
|
| 158 |
176380
|
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
|
|
|
|
|
|
| 159 |
172286
|
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
|
|
|
|
|
|
| 160 |
172257
|
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
|
|
|
|
|
|
| 161 |
172231
|
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
|
|
|
|
|
|
| 162 |
172230
|
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
|
|
|
|
|
|
| 163 |
172238
|
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
|
|
|
|
|
|
| 164 |
172213
|
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
|
|
|
|
|
|
| 165 |
172301
|
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
|
|
|
|
|
|
| 166 |
172300
|
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
|
|
|
|
|
|
| 167 |
176947
|
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
|
|
|
|
|
|
| 168 |
176954
|
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
|
|
|
|
|
|
| 169 |
200124
|
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
|
|
|
|
|
|
| 170 |
200143
|
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
|
|
|
|
|
|
| 171 |
176852
|
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
|
|
|
|
|
|
| 172 |
176853
|
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
|
|
|
|
|
|
| 173 |
172302
|
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
|
|
|
|
|
|
| 174 |
172312
|
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
|
|
|
|
|
|
| 175 |
275212
|
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
|
|
|
|
|
|
| 176 |
275211
|
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
|
|
|
|
|
|
| 177 |
172342
|
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
|
|
|
|
|
|
| 178 |
172338
|
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
|
|
|
|
|
|
| 179 |
172428
|
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
|
|
|
|
|
|
| 180 |
172427
|
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
|
|
|
|
|
|
| 181 |
104405
|
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
|
|
|
|
|
|
| 182 |
104408
|
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
|
|
|
|
|
|
| 183 |
172418
|
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
|
|
|
|
|
|
| 184 |
172407
|
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
|
|
|
|
|
|
| 185 |
199211
|
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
|
|
|
|
|
|
| 186 |
199214
|
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
|
|
|
|
|
|
| 187 |
113706
|
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
|
|
|
|
|
|
| 188 |
113704
|
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
|
|
|
|
|
|
| 189 |
173905
|
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
|
|
|
|
|
|
| 190 |
173898
|
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
|
|
|
|
|
|
| 191 |
334564
|
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
|
|
|
|
|
|
| 192 |
334563
|
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
|
|
|
|
|
|
| 193 |
337537
|
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
|
|
|
|
|
|
| 194 |
337514
|
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
|
|
|
|
|
|
| 195 |
172344
|
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
|
|
|
|
|
|
| 196 |
172343
|
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
|
|
|
|
|
|
| 197 |
172392
|
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
|
|
|
|
|
|
| 198 |
172396
|
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
|
|
|
|
|
|
| 199 |
199299
|
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
|
|
|
|
|
|
| 200 |
199298
|
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
|
|
|
|
|
|
| 201 |
172365
|
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
|
|
|
|
|
|
| 202 |
172380
|
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
|
|
|
|
|
|
| 203 |
663679
|
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
|
|
|
|
|
|
| 204 |
663692
|
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
|
|
|
|
|
|
| 205 |
172551
|
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
|
|
|
|
|
|
| 206 |
172532
|
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
|
|
|
|
|
|
| 207 |
172473
|
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
|
|
|
|
|
|
| 208 |
172467
|
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
|
|
|
|
|
|
| 209 |
172574
|
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
|
|
|
|
|
|
| 210 |
172544
|
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
|
|
|
|
|
|
| 211 |
172502
|
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
|
|
|
|
|
|
| 212 |
172481
|
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
|
|
|
|
|
|
| 213 |
557173
|
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
|
|
|
|
|
|
| 214 |
557172
|
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
|
|
|
|
|
|
| 215 |
790248
|
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
|
|
|
|
|
|
| 216 |
790247
|
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
|
|
|
|
|
|
| 217 |
172455
|
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
|
|
|
|
|
|
| 218 |
172442
|
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
|
|
|
|
|
|
| 219 |
274784
|
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
|
|
|
|
|
|
| 220 |
274866
|
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
|
|
|
|
|
|
| 221 |
583343
|
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
|
|
|
|
|
|
| 222 |
583340
|
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
|
|
|
|
|
|
| 223 |
172629
|
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
|
|
|
|
|
|
| 224 |
172630
|
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
|
|
|
|
|
|
| 225 |
172492
|
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
|
|
|
|
|
|
| 226 |
172487
|
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
|
|
|
|
|
|
| 227 |
172666
|
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
|
|
|
|
|
|
| 228 |
172685
|
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
|
|
|
|
|
|
| 229 |
172476
|
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
|
|
|
|
|
|
| 230 |
172453
|
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
|
|
|
|
|
|
| 231 |
172522
|
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
|
|
|
|
|
|
| 232 |
172500
|
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
|
|
|
|
|
|
| 233 |
233191
|
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
|
|
|
|
|
|
| 234 |
233170
|
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
|
|
|
|
|
|
| 235 |
172518
|
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
|
|
|
|
|
|
| 236 |
172504
|
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
|
|
|
|
|
|
| 237 |
172552
|
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
|
|
|
|
|
|
| 238 |
172533
|
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
|
|
|
|
|
|
| 239 |
173899
|
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
|
|
|
|
|
|
| 240 |
173896
|
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
|
|
|
|
|
|
| 241 |
172593
|
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
|
|
|
|
|
|
| 242 |
172549
|
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
|
|
|
|
|
|
| 243 |
812953
|
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
|
|
|
|
|
|
| 244 |
812949
|
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
|
|
|
|
|
|
| 245 |
767665
|
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
|
|
|
|
|
|
| 246 |
767662
|
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
|
|
|
|
|
|
| 247 |
233546
|
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
|
|
|
|
|
|
| 248 |
233567
|
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
|
|
|
|
|
|
| 249 |
172706
|
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
|
|
|
|
|
|
| 250 |
172790
|
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
|
|
|
|
|
|
| 251 |
200372
|
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
|
|
|
|
|
|
| 252 |
200379
|
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
|
|
|
|
|
|
| 253 |
233435
|
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
|
|
|
|
|
|
| 254 |
233422
|
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
|
|
|
|
|
|
| 255 |
706754
|
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
|
|
|
|
|
|
| 256 |
706755
|
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
|
|
|
|
|
|
| 257 |
172620
|
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
|
|
|
|
|
|
| 258 |
172639
|
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
|
|
|
|
|
|
| 259 |
172621
|
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
|
|
|
|
|
|
| 260 |
172640
|
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
|
|
|
|
|
|
| 261 |
177186
|
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
|
|
|
|
|
|
| 262 |
177199
|
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
|
|
|
|
|
|
| 263 |
337753
|
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
|
|
|
|
|
|
| 264 |
337772
|
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
|
|
|
|
|
|
| 265 |
172757
|
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
|
|
|
|
|
|
| 266 |
172756
|
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
|
|
|
|
|
|
| 267 |
172782
|
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
|
|
|
|
|
|
| 268 |
172797
|
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
|
|
|
|
|
|
| 269 |
172635
|
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
|
|
|
|
|
|
| 270 |
172636
|
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
|
|
|
|
|
|
| 271 |
172665
|
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
|
|
|
|
|
|
| 272 |
172662
|
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
|
|
|
|
|
|
| 273 |
203860
|
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
|
|
|
|
|
|
| 274 |
203859
|
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
|
|
|
|
|
|
| 275 |
172675
|
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
|
|
|
|
|
|
| 276 |
172681
|
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
|
|
|
|
|
|
| 277 |
172734
|
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
|
|
|
|
|
|
| 278 |
172736
|
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
|
|
|
|
|
|
| 279 |
172874
|
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
|
|
|
|
|
|
| 280 |
172818
|
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
|
|
|
|
|
|
| 281 |
176381
|
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
|
|
|
|
|
|
| 282 |
176383
|
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
|
|
|
|
|
|
| 283 |
172781
|
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
|
|
|
|
|
|
| 284 |
172696
|
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
|
|
|
|
|
|
| 285 |
172667
|
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
|
|
|
|
|
|
| 286 |
172686
|
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
|
|
|
|
|
|
| 287 |
172802
|
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
|
|
|
|
|
|
| 288 |
172719
|
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
|
|
|
|
|
|
| 289 |
199345
|
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
|
|
|
|
|
|
| 290 |
199340
|
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
|
|
|
|
|
|
| 291 |
337749
|
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
|
|
|
|
|
|
| 292 |
337756
|
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
|
|
|
|
|
|
| 293 |
172674
|
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
|
|
|
|
|
|
| 294 |
172677
|
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
|
|
|
|
|
|
| 295 |
172798
|
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
|
|
|
|
|
|
| 296 |
172799
|
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
|
|
|
|
|
|
| 297 |
172792
|
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
|
|
|
|
|
|
| 298 |
172791
|
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
|
|
|
|
|
|
| 299 |
175118
|
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
|
|
|
|
|
|
| 300 |
175116
|
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
|
|
|
|
|
|
| 301 |
176353
|
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
|
|
|
|
|
|
| 302 |
176347
|
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
|
|
|
|
|
|
| 303 |
136863
|
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
|
|
|
|
|
|
| 304 |
136865
|
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
|
|
|
|
|
|
| 305 |
172758
|
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
|
|
|
|
|
|
| 306 |
172823
|
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
|
|
|
|
|
|
| 307 |
177031
|
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
|
|
|
|
|
|
| 308 |
177018
|
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
|
|
|
|
|
|
| 309 |
172908
|
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
|
|
|
|
|
|
| 310 |
172892
|
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
|
|
|
|
|
|
| 311 |
172918
|
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
|
|
|
|
|
|
| 312 |
172897
|
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
|
|
|
|
|
|
| 313 |
172855
|
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
|
|
|
|
|
|
| 314 |
172857
|
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
|
|
|
|
|
|
| 315 |
172931
|
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
|
|
|
|
|
|
| 316 |
172927
|
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
|
|
|
|
|
|
| 317 |
199385
|
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
|
|
|
|
|
|
| 318 |
199376
|
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
|
|
|
|
|
|
| 319 |
381575
|
Probability of dying between exact age 15 and 50 (35q15) for women
|
105
|
0
|
ZM
|
Zambia
|
2024
|
ZM2024DHS
|
MM_AMPB_W_AMP
|
76963010
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBWAMP
|
|
2024
|
DHS
|
|
|
|
|
|
| 320 |
381583
|
Probability of dying between exact age 15 and 50 (35q15) for men
|
173
|
0
|
ZM
|
Zambia
|
2024
|
ZM2024DHS
|
MM_AMPB_M_AMP
|
76964020
|
I
|
10000
|
10000
|
Total 15-49
|
Total 15-49
|
0
|
|
1
|
1
|
MMAMPBMAMP
|
|
2024
|
DHS
|
|
|
|
|
|
| 321 |
172794
|
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
|
|
|
|
|
|
| 322 |
172796
|
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
|
|
|
|
|
|
| 323 |
149929
|
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
|
|
|
|
|
|
| 324 |
149930
|
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
|
|
|
|
|
|
| 325 |
174468
|
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
|
|
|
|
|
|
| 326 |
174475
|
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
|
|
|
|
|
|
| 327 |
172878
|
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
|
|
|
|
|
|
| 328 |
172877
|
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
|
|
|
|
|
|
| 329 |
198978
|
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
|
|
|
|
|
|
| 330 |
198965
|
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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