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Response
Page 1 of 1
(328 of 328 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 |
90617
|
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 |
90618
|
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 |
59172
|
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 |
59174
|
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 |
41076
|
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 |
41066
|
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 |
54986
|
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 |
54974
|
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 |
55011
|
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 |
54965
|
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 |
675560
|
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 |
675562
|
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 |
5854
|
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 |
5857
|
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 |
55022
|
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 |
55025
|
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 |
55120
|
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 |
55092
|
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 |
61261
|
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 |
61252
|
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 |
55017
|
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 |
55035
|
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 |
672918
|
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 |
672922
|
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 |
55353
|
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 |
55356
|
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 |
55354
|
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 |
55357
|
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 |
55431
|
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 |
55439
|
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 |
62503
|
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 |
62512
|
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 |
55127
|
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 |
55126
|
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 |
23505
|
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 |
23531
|
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 |
746183
|
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 |
746190
|
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 |
55045
|
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 |
55049
|
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 |
55039
|
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 |
55040
|
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 |
55245
|
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 |
55212
|
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 |
55444
|
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 |
55447
|
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 |
57120
|
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 |
57118
|
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 |
59386
|
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 |
59393
|
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 |
5852
|
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 |
5840
|
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 |
55463
|
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 |
55448
|
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 |
55103
|
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 |
55134
|
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 |
347013
|
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 |
347020
|
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 |
60873
|
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 |
60883
|
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 |
59332
|
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 |
59335
|
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 |
55483
|
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 |
55488
|
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 |
55186
|
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 |
55173
|
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 |
55167
|
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 |
55158
|
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 |
55124
|
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 |
55139
|
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 |
55136
|
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 |
55150
|
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 |
55244
|
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 |
55211
|
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 |
569265
|
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 |
569268
|
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 |
55243
|
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 |
55220
|
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 |
55242
|
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 |
55219
|
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 |
5864
|
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 |
5863
|
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 |
55259
|
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 |
55287
|
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 |
91289
|
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 |
91290
|
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 |
55308
|
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 |
55312
|
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 |
55253
|
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 |
55232
|
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 |
62126
|
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 |
62143
|
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 |
55310
|
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 |
55315
|
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 |
59149
|
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 |
59165
|
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 |
55260
|
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 |
55288
|
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 |
55319
|
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 |
55321
|
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 |
60495
|
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 |
60494
|
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 |
674447
|
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 |
674449
|
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 |
682600
|
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 |
682602
|
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 |
55330
|
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 |
55327
|
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 |
55403
|
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 |
55404
|
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 |
55347
|
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 |
55352
|
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 |
55515
|
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 |
55520
|
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 |
55383
|
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 |
55395
|
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 |
55407
|
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 |
55412
|
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 |
55525
|
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 |
55536
|
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 |
61403
|
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 |
61424
|
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 |
55430
|
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 |
55437
|
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 |
55440
|
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 |
55400
|
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 |
654000
|
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 |
654003
|
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 |
60589
|
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 |
60591
|
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 |
666565
|
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 |
666564
|
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 |
55588
|
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 |
55578
|
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 |
55571
|
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 |
55570
|
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 |
712692
|
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 |
712697
|
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 |
673800
|
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 |
673799
|
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 |
55545
|
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 |
55549
|
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 |
723483
|
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 |
723481
|
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 |
56816
|
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 |
56807
|
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 |
31077
|
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 |
31076
|
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 |
55633
|
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 |
55644
|
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 |
775429
|
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 |
775427
|
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 |
55697
|
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 |
55699
|
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 |
658393
|
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 |
658392
|
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 |
60642
|
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 |
60646
|
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 |
55622
|
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 |
55597
|
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 |
55591
|
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 |
55583
|
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 |
55629
|
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 |
55638
|
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 |
137062
|
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 |
137043
|
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 |
61186
|
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 |
61198
|
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 |
62568
|
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 |
62578
|
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 |
60875
|
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 |
60893
|
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 |
55739
|
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 |
55740
|
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 |
766230
|
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 |
766264
|
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 |
55692
|
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 |
55670
|
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 |
55691
|
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 |
55663
|
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 |
647298
|
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 |
647301
|
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 |
55770
|
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 |
55774
|
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 |
61770
|
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 |
61774
|
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 |
664121
|
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 |
664118
|
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 |
57383
|
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 |
57385
|
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 |
2571
|
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 |
2578
|
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 |
5939
|
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 |
5946
|
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 |
55718
|
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 |
55713
|
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 |
55767
|
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 |
55793
|
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 |
61101
|
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 |
61113
|
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 |
55823
|
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 |
55851
|
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 |
657402
|
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 |
657405
|
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 |
55785
|
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 |
55817
|
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 |
55805
|
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 |
55819
|
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 |
55849
|
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 |
55847
|
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 |
55857
|
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 |
55876
|
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 |
110226
|
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 |
110230
|
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 |
651246
|
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 |
651247
|
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 |
55929
|
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 |
55957
|
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 |
767131
|
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 |
767130
|
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 |
321578
|
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 |
321584
|
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 |
55930
|
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 |
56005
|
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 |
55938
|
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 |
55965
|
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 |
56153
|
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 |
56152
|
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 |
55917
|
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 |
55921
|
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 |
56010
|
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 |
56023
|
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 |
91750
|
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 |
91745
|
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 |
55918
|
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 |
55923
|
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 |
55945
|
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 |
55980
|
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 |
57132
|
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 |
57128
|
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 |
56017
|
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 |
56018
|
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 |
697593
|
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 |
697594
|
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 |
668454
|
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 |
668455
|
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 |
91763
|
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 |
91764
|
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 |
55989
|
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 |
55993
|
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 |
62941
|
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 |
62940
|
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 |
92366
|
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 |
92367
|
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 |
675521
|
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 |
675522
|
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 |
56036
|
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 |
56044
|
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 |
56063
|
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 |
56064
|
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 |
60983
|
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 |
60989
|
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 |
5980
|
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 |
6010
|
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 |
56117
|
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 |
56127
|
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 |
56104
|
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 |
56120
|
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 |
56054
|
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 |
56082
|
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 |
56083
|
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 |
56099
|
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 |
66443
|
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 |
66442
|
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 |
56106
|
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 |
56121
|
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 |
56182
|
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 |
56183
|
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 |
56204
|
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 |
56192
|
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 |
60414
|
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 |
60435
|
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 |
56149
|
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 |
56150
|
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 |
56161
|
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 |
56190
|
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 |
56260
|
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 |
56294
|
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 |
61344
|
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 |
61368
|
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 |
5956
|
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 |
5955
|
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 |
56244
|
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 |
56249
|
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 |
56256
|
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 |
56250
|
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 |
56162
|
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 |
56191
|
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 |
59608
|
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 |
59611
|
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 |
60291
|
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 |
60289
|
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 |
733452
|
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 |
733462
|
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 |
56292
|
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 |
56286
|
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 |
61243
|
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 |
61241
|
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 |
56200
|
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 |
56210
|
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 |
56291
|
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 |
56285
|
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 |
56632
|
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 |
56658
|
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 |
56339
|
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 |
56336
|
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 |
61367
|
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 |
61359
|
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 |
56353
|
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
|
|
|
|
|
|
| 320 |
56316
|
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
|
|
|
|
|
|
| 321 |
716882
|
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
|
|
|
|
|
|
| 322 |
716879
|
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
|
|
|
|
|
|
| 323 |
59193
|
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
|
|
|
|
|
|
| 324 |
59200
|
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
|
|
|
|
|
|
| 325 |
56356
|
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
|
|
|
|
|
|
| 326 |
56342
|
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
|
|
|
|
|
|
| 327 |
61126
|
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
|
|
|
|
|
|
| 328 |
61127
|
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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