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ASIA

Joint Multi Sector Needs Assessment: Cox’s Bazar, Rohingya Refugee Response – 2023, Refugees

Bangladesh, 2023
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Reference ID
UNHCR_BGD_2023_jmsna_ref_anon_data_v2.1
Producer(s)
UNHCR, IOM, ECHO
Collections
Asia Pacific Needs Assessments
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 24, 2024
Last modified
Jul 09, 2024
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14.4. Health-related expenditures (healthcare, medicine, etc.) (expenditure_health)

Data file: Household data

Overview

Valid: 3197
Invalid: 203
Type: Discrete
Range: 1 - 110
Format: Factor

Questions and instructions

Categories
Value Category Cases
1 0 260
7.6%
2 120 1
0%
3 150 2
0.1%
4 200 37
1.1%
5 250 3
0.1%
6 300 30
0.9%
7 350 3
0.1%
8 400 24
0.7%
9 450 2
0.1%
10 500 176
5.2%
11 600 34
1%
12 700 16
0.5%
13 750 3
0.1%
14 800 16
0.5%
15 900 8
0.2%
16 1000 200
5.9%
17 1100 3
0.1%
18 1120 1
0%
19 1200 46
1.4%
20 1300 7
0.2%
21 1400 3
0.1%
22 1450 1
0%
23 1500 162
4.8%
24 1600 3
0.1%
25 1700 5
0.1%
26 1800 14
0.4%
27 2000 323
9.5%
28 2100 1
0%
29 2200 5
0.1%
30 2300 4
0.1%
31 2400 3
0.1%
32 2450 1
0%
33 2500 94
2.8%
34 2700 3
0.1%
35 2750 1
0%
36 2800 2
0.1%
37 2850 1
0%
38 3000 294
8.6%
39 3150 1
0%
40 3200 2
0.1%
41 3300 1
0%
42 3500 40
1.2%
43 3600 2
0.1%
44 3700 2
0.1%
45 4000 205
6%
46 4050 1
0%
47 4200 1
0%
48 4300 1
0%
49 4500 28
0.8%
50 4800 1
0%
51 4900 1
0%
52 5000 259
7.6%
53 5500 5
0.1%
54 5800 1
0%
55 6000 145
4.3%
56 6500 5
0.1%
57 6700 1
0%
58 7000 107
3.1%
59 7200 1
0%
60 7500 9
0.3%
61 7800 1
0%
62 8000 90
2.6%
63 8500 2
0.1%
64 8600 1
0%
65 8900 1
0%
66 9000 43
1.3%
67 9500 3
0.1%
68 9600 1
0%
69 10000 115
3.4%
70 11000 4
0.1%
71 12000 54
1.6%
72 12500 1
0%
73 12600 1
0%
74 13000 9
0.3%
75 14000 5
0.1%
76 14500 1
0%
77 15000 83
2.4%
78 16000 7
0.2%
79 17000 1
0%
80 18000 10
0.3%
81 19000 2
0.1%
82 20000 62
1.8%
83 21000 2
0.1%
84 21500 1
0%
85 22000 2
0.1%
86 23000 1
0%
87 24000 1
0%
88 25000 18
0.5%
89 27000 1
0%
90 28000 1
0%
91 29000 1
0%
92 30000 15
0.4%
93 34500 1
0%
94 35000 5
0.1%
95 36000 2
0.1%
96 40000 7
0.2%
97 40500 1
0%
98 42000 2
0.1%
99 42560 1
0%
100 45000 2
0.1%
101 48000 1
0%
102 50000 12
0.4%
103 58000 1
0%
104 60000 3
0.1%
105 75000 2
0.1%
106 95000 1
0%
107 1e+05 1
0%
108 120000 2
0.1%
109 150000 1
0%
110 250000 1
0%
Missing value 203
6%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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