Filter
6143
Text search:
deaths
Featured
477
1757
Language
5942
163
134
109
86
51
49
18
5
5
5
4
4
4
3
3
3
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Document type
3203
1235
642
285
254
193
114
100
48
46
7
5
5
4
Countries / Regions
333
278
188
184
153
144
127
125
118
117
103
102
99
97
97
96
92
91
82
82
70
69
58
53
52
51
51
50
47
46
46
45
45
44
44
42
41
40
40
37
37
36
30
30
30
27
21
20
17
16
16
14
14
14
12
12
12
12
11
10
10
10
10
10
10
10
9
9
9
8
8
8
8
8
8
7
7
7
7
7
6
6
6
6
6
6
6
6
6
5
5
5
5
5
5
4
4
4
4
4
4
3
3
3
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Authors & Publishers
814
267
253
216
185
143
132
96
78
49
42
39
35
33
33
31
28
27
25
25
25
24
24
23
23
22
22
22
21
20
20
20
20
18
18
18
17
16
16
16
16
15
15
15
15
15
15
15
15
14
14
14
14
14
13
13
13
13
12
12
12
12
12
12
12
12
12
12
11
11
11
11
11
11
11
10
10
10
10
10
10
10
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
8
8
8
8
8
8
8
8
8
8
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Publication Years
2007
3697
417
20
1
1
Category
2681
451
381
315
283
107
26
3
Toolboxes
587
328
325
324
268
253
229
156
149
133
130
126
106
99
83
81
81
79
76
50
37
36
26
24
15
4
1
The Ministry of Health conducted STEPS surveys on adult risk factors surveillance in Myanmar in 2003, 2009 and 2014. Amongst these three surveys, the 2014 one is the most comprehensive, providing an analysis of all States and Regions within Myanmar through not only questionnaires and physical measur
...
ements – STEPs 1 and 2 of the survey – but also with data obtained through biochemical measurements (STEP 3).
The STEPS survey was initiated by the Ministry of Health in December 2014 with the technical support of WHO Headquarters, regional and country offices. more
The STEPS survey was initiated by the Ministry of Health in December 2014 with the technical support of WHO Headquarters, regional and country offices. more
Census Report Volume 4-E
As no census has been undertaken in over 30 years, many aspects of the demographic situation in the country were unknown. For instance, before the Census it was thought that the country had a population of about 60 million, but the 2014 Census showed that the population ... (including an estimate for under-enumeration) was 51,486,253 persons, around 8.5 million less than the previous estimate.
In the 1983 census, 35,307,913 persons were recorded. Therefore between 1983 and 2014, the population increased by 46 per cent. With an average annual population growth rate of 0.89 per cent between 2003 and 2014, Myanmar is one of the slowest growing countries in Southeast Asia. more
As no census has been undertaken in over 30 years, many aspects of the demographic situation in the country were unknown. For instance, before the Census it was thought that the country had a population of about 60 million, but the 2014 Census showed that the population ... (including an estimate for under-enumeration) was 51,486,253 persons, around 8.5 million less than the previous estimate.
In the 1983 census, 35,307,913 persons were recorded. Therefore between 1983 and 2014, the population increased by 46 per cent. With an average annual population growth rate of 0.89 per cent between 2003 and 2014, Myanmar is one of the slowest growing countries in Southeast Asia. more
Census Report Volume 4-A
This thematic report presents findings on fertility and nuptiality in Myanmar. The analysis hows that the total fertility rate is 2.5 children per woman at the Union level, 1.9 children per woman for urban areas, and 2.8 children per woman for rural areas. Total fertili ... ty for States and Regions varies from a high of 5.0 children per woman for Chin State to a low of 1.8 children per woman for Yangon Region. Total fertility appears to have declined at a rate of at least one child per woman per decade between 1970 and 2000. This relatively rapid decline apparently ceased sometime during the 1990s or 2000s. Estimates from the 2001 and 2007 surveys suggest that the level of fertility may have fluctuated between 2000 and 2014, but with no overall trend up or down. The marital status data shows an exceptionally high proportion of women remaining never married at age 50. more
This thematic report presents findings on fertility and nuptiality in Myanmar. The analysis hows that the total fertility rate is 2.5 children per woman at the Union level, 1.9 children per woman for urban areas, and 2.8 children per woman for rural areas. Total fertili ... ty for States and Regions varies from a high of 5.0 children per woman for Chin State to a low of 1.8 children per woman for Yangon Region. Total fertility appears to have declined at a rate of at least one child per woman per decade between 1970 and 2000. This relatively rapid decline apparently ceased sometime during the 1990s or 2000s. Estimates from the 2001 and 2007 surveys suggest that the level of fertility may have fluctuated between 2000 and 2014, but with no overall trend up or down. The marital status data shows an exceptionally high proportion of women remaining never married at age 50. more
Census Report Volume 4-L
Myanmar’s 2014 Census enumerated 4.5 million people aged 60 and over and by 2050 Myanmar is projected to have 13 million people in this age group.
Myanmar’s population has aged between 1973 and 2014; while the total population increased at an annual rate of 1. ... 4 per cent, the population aged 60 and over increased annually by 2.4 per cent. Within the older population, the oldest age group, those over 80 years old, has been growing much faster than those aged 60-79. In 2014, the urban population was slightly older than the rural population. This is the result of a more rapid decline in urban fertility, offset by net migration to urban areas by youth and young adults. more
Myanmar’s 2014 Census enumerated 4.5 million people aged 60 and over and by 2050 Myanmar is projected to have 13 million people in this age group.
Myanmar’s population has aged between 1973 and 2014; while the total population increased at an annual rate of 1. ... 4 per cent, the population aged 60 and over increased annually by 2.4 per cent. Within the older population, the oldest age group, those over 80 years old, has been growing much faster than those aged 60-79. In 2014, the urban population was slightly older than the rural population. This is the result of a more rapid decline in urban fertility, offset by net migration to urban areas by youth and young adults. more
Ensuring reproductive rights for all
Census Report Volume 4-F (Thematic report on Population Projections for the Union of Myanmar, States/Regions, Rural and Urban Areas, 2014-2050)
Key findings
- The total population of Myanmar is estimated to be 65 million by 2050. The projection is based on steadily declining population grow ... th rate over the projection period: from 0.9 per cent in 2015 to 0.3 per cent in 2050.
- The proportion of the urban population rises from 29.3 per cent in 2015 to 34.7 in 2050. The rural and urban crude birth rates both decline between 2015 and 2050, but the difference between them narrows to almost zero by the end of the period.
- The population of Yangon grows more rapidly than any other area, by 39 per cent between 2015 and 2031. Other rapidly growing areas include Kayah (37 per cent), Kachin (32 per cent), Nay Pyi Taw (27 per cent), and Shan (26 per cent). Ayeyawady, Magway and Mon lose population, mostly due to migration. more
Key findings
- The total population of Myanmar is estimated to be 65 million by 2050. The projection is based on steadily declining population grow ... th rate over the projection period: from 0.9 per cent in 2015 to 0.3 per cent in 2050.
- The proportion of the urban population rises from 29.3 per cent in 2015 to 34.7 in 2050. The rural and urban crude birth rates both decline between 2015 and 2050, but the difference between them narrows to almost zero by the end of the period.
- The population of Yangon grows more rapidly than any other area, by 39 per cent between 2015 and 2031. Other rapidly growing areas include Kayah (37 per cent), Kachin (32 per cent), Nay Pyi Taw (27 per cent), and Shan (26 per cent). Ayeyawady, Magway and Mon lose population, mostly due to migration. more
Report on Main Findings
The review encompasses three complementary components: 1) a review of published literature 2000-2015 on NCDs and their risk factors; 2) qualitative interviews with key actors engaged in NCD research in Myanmar; and 3) additional reviews of Myanmar ethical committee inqui ... ries and postgraduate research on NCDs in Myanmar. This report outlines the key findings from the three components including a synthesis of the key outcomes from the literature review and qualitative interviews, and an assessment of the gaps in the evidence against a framework of evidence needs. more
The review encompasses three complementary components: 1) a review of published literature 2000-2015 on NCDs and their risk factors; 2) qualitative interviews with key actors engaged in NCD research in Myanmar; and 3) additional reviews of Myanmar ethical committee inqui ... ries and postgraduate research on NCDs in Myanmar. This report outlines the key findings from the three components including a synthesis of the key outcomes from the literature review and qualitative interviews, and an assessment of the gaps in the evidence against a framework of evidence needs. more
The primary objective of the 2015-16 MDHS project is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the MDHS collected information on fertility levels, marriage, fertility preferences, awareness and use of family planning methods, breastfeeding practices, n
...
utrition, maternal and child health and mortality, awareness and behavior regarding HIV/AIDS and other sexually transmitted infections (STIs), and other health-related issues such as smoking and knowledge of tuberculosis. As the 2015-16 MDHS is the first DHS survey in the country, trend analysis is not carried out in this report.
more
In many of Myanmar’s contested regions, healthcare services are provided through two parallel governance systems – by the government’s Ministry of Health, and by providers linked to ethnic armed organizations. Building upon efforts to build trust between these two actors following ceasefires s
...
igned in 2011 and 2012, the new National League for Democracy-led government offers an unprecedented opportunity to increase cooperation between these systems and to ensure health services reach Myanmar’s most vulnerable populations.
The report provides an overview of existing health service arrangements in these areas, from both the Ministry of Health and from ethnic and community-based health organizations. It then unpacks the concept of “convergence”, highlighting key opportunities and policy recommendations for both government and non-government actors. more
The report provides an overview of existing health service arrangements in these areas, from both the Ministry of Health and from ethnic and community-based health organizations. It then unpacks the concept of “convergence”, highlighting key opportunities and policy recommendations for both government and non-government actors. more
Policy Note #4: Myanmar Health Systems in Transition Policy Notes Series
Protecting people from financial hardship when they fall ill is one of the two key elements of universal health coverage (UHC). In practice, this means that the majority of health care costs have to be met from government ... revenues so that services are provided free or with a small affordable co-payment. The alternative is to rely on pre-payment through some form of insurance, where risks are pooled across all contributors.
The challenge in Myanmar is that at present neither approach is functioning. Government spending is too low to meet people’s health needs and the proportion of the population covered by insurance is negligible. As a result, families face a stark choice in the event of serious illness: either defer treatment and face the consequences, or incur what can amount to catastrophic expenses and a downward spiral of disinvestment and poverty. more
Protecting people from financial hardship when they fall ill is one of the two key elements of universal health coverage (UHC). In practice, this means that the majority of health care costs have to be met from government ... revenues so that services are provided free or with a small affordable co-payment. The alternative is to rely on pre-payment through some form of insurance, where risks are pooled across all contributors.
The challenge in Myanmar is that at present neither approach is functioning. Government spending is too low to meet people’s health needs and the proportion of the population covered by insurance is negligible. As a result, families face a stark choice in the event of serious illness: either defer treatment and face the consequences, or incur what can amount to catastrophic expenses and a downward spiral of disinvestment and poverty. more
Project Programs:
A. Medical Care Program
B. Community Health Promotion and Prevention Program
C. Maternal and Child Health Program
Target Population: 228,000 people living within the Mon, Kayah, Kayan, Karen,Shan, Kachin, Pa O, Chin and Arakan areas
Projec ... t Duration:January to December 2016 more
A. Medical Care Program
B. Community Health Promotion and Prevention Program
C. Maternal and Child Health Program
Target Population: 228,000 people living within the Mon, Kayah, Kayan, Karen,Shan, Kachin, Pa O, Chin and Arakan areas
Projec ... t Duration:January to December 2016 more
(Health Systems in Transition, Vol. 4, No. 3, 2014)
Fostering resilient development through integrated action plan
The Myanmar Action Plan on Disaster Risk Reduction, 2017 is a comprehensive and unified action plan for disaster risk reduction with prioritized interventions across Myanmar till 2020. With a long term vision and considering deep-root ... ed underlying drivers of disaster risk, it has set an overall target for 2030. it aims to provide a base for mobilizing and leveraging, primarily, national and external resources and will provide a basis for result printed outcomes.
The action plan identifies 32 priority actions under four pillars: risk information and awareness; risk governance; risk mitigation; and preparedness and response, rehabilitation and reconstruction. For each priority action, objectives, activities, outputs, duration, lead agencies, and supporting partners have been identified. more
The Myanmar Action Plan on Disaster Risk Reduction, 2017 is a comprehensive and unified action plan for disaster risk reduction with prioritized interventions across Myanmar till 2020. With a long term vision and considering deep-root ... ed underlying drivers of disaster risk, it has set an overall target for 2030. it aims to provide a base for mobilizing and leveraging, primarily, national and external resources and will provide a basis for result printed outcomes.
The action plan identifies 32 priority actions under four pillars: risk information and awareness; risk governance; risk mitigation; and preparedness and response, rehabilitation and reconstruction. For each priority action, objectives, activities, outputs, duration, lead agencies, and supporting partners have been identified. more
In April 2018, Refugees International (RI) conducted a mission to Bangladesh, to research the GBV (gender-based violence) response for Rohingya women and girls. RI found that the entire humanitarian system is struggling under tremendous constraints in Bangladesh, and protection and health actors do
...
deliver lifesaving services to survivors in an incredibly challenging environment. This report, however, focuses on key gaps and challenges in GBV programming, as communicated by practitioners deployed to Bangladesh at various stages of the emergency, by local organizations, and by the affected women and girls themselves.
In the analyses and recommendations provided in this report, RI draws in part from the framework of the international initiative to safeguard women and girls in emergencies — the Call to Action on Protection from Gender-Based Violence in Emergencies — and urges the donors and humanitarian organizations that are Call to Action partners to implement it more effectively and with urgency during this emergency. more
In the analyses and recommendations provided in this report, RI draws in part from the framework of the international initiative to safeguard women and girls in emergencies — the Call to Action on Protection from Gender-Based Violence in Emergencies — and urges the donors and humanitarian organizations that are Call to Action partners to implement it more effectively and with urgency during this emergency. more
The National Integrated Comprehensive Cholera Prevention and Control Plan (2017-2022) outlines Uganda's strategy to reduce cholera cases and mortality by 50% by 2022. The plan focuses on improving access to clean water, sanitation, and hygiene (WASH), strengthening disease surveillance, enhancing ca
...
se management, and implementing oral cholera vaccination (OCV) in high-risk areas. It emphasizes multi-sectoral collaboration, involving government agencies, NGOs, and local communities to ensure a sustainable response. Key interventions include community engagement, improved health services, and better outbreak preparedness, aiming for long-term cholera elimination in Uganda.
more
Disaster risk management systems analysis: A guide book
Baas, Stephan; Ramasamy, Selvaraju; Dey de Pryck, Jenny et al.
Food and Agriculture Organization of the United Nations (FAO)
(2008)
C1
The guide book provides a set of tools and methods to assess existing structures and capacities of national, district and local institutions with responsibilities for Disaster Risk Management (DRM) in order to improve their effectiveness and the integration of DRM concerns into development planning,
...
with particular reference to disaster-prone areas, vulnerable sectors and population groups.
The strategic use of the Guide is expected to enhance understanding of the strengths, weaknesses, opportunities and threats facing existing DRM institutional structures and their implications for on-going institutional change processes. It will also highlight the complex institutional linkages among various actors and sectors at different levels. more
The strategic use of the Guide is expected to enhance understanding of the strengths, weaknesses, opportunities and threats facing existing DRM institutional structures and their implications for on-going institutional change processes. It will also highlight the complex institutional linkages among various actors and sectors at different levels. more
