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ASIA

Social-Economic Vulnerability Assessment 2022

Afghanistan, 2022
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Reference ID
UNHCR_AFG_2022_seva_anon_data_v2.1
Producer(s)
REACH
Collections
Asia Pacific Socioeconomic Assessments Vulnerability Assessments
Metadata
DDI/XML JSON
Created on
Mar 27, 2023
Last modified
Apr 03, 2023
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Food (purchased) (hh_food_exp)

Data file: Household data

Overview

Valid: 6063
Invalid: 0
Type: Discrete
Range: 1 - 114
Format: Factor

Questions and instructions

Categories
Value Category Cases
1 200 3
0%
2 300 3
0%
3 400 1
0%
4 500 7
0.1%
5 700 3
0%
6 800 1
0%
7 900 2
0%
8 1000 150
2.5%
9 1100 2
0%
10 1200 5
0.1%
11 1300 6
0.1%
12 1400 9
0.1%
13 1500 101
1.7%
14 1550 1
0%
15 1600 7
0.1%
16 1700 7
0.1%
17 1800 11
0.2%
18 1900 5
0.1%
19 2000 566
9.3%
20 2100 1
0%
21 2200 5
0.1%
22 2300 3
0%
23 2400 2
0%
24 2500 222
3.7%
25 2600 2
0%
26 2700 2
0%
27 2750 1
0%
28 2800 9
0.1%
29 2850 1
0%
30 2900 2
0%
31 3000 878
14.5%
32 3100 1
0%
33 3200 5
0.1%
34 3300 4
0.1%
35 3400 6
0.1%
36 3500 184
3%
37 3600 3
0%
38 3700 5
0.1%
39 3750 1
0%
40 3800 5
0.1%
41 3850 1
0%
42 3900 2
0%
43 4000 885
14.6%
44 4200 13
0.2%
45 4300 3
0%
46 4400 1
0%
47 4500 131
2.2%
48 4600 2
0%
49 4700 1
0%
50 4800 2
0%
51 4900 1
0%
52 5000 810
13.4%
53 5200 5
0.1%
54 5250 1
0%
55 5300 1
0%
56 5400 3
0%
57 5500 52
0.9%
58 5600 4
0.1%
59 5700 1
0%
60 5800 4
0.1%
61 6000 503
8.3%
62 6200 3
0%
63 6250 1
0%
64 6300 1
0%
65 6400 1
0%
66 6500 45
0.7%
67 6700 1
0%
68 6800 4
0.1%
69 6900 1
0%
70 7000 363
6%
71 7100 1
0%
72 7200 4
0.1%
73 7400 1
0%
74 7500 48
0.8%
75 7700 1
0%
76 7900 1
0%
77 8000 300
4.9%
78 8100 1
0%
79 8500 19
0.3%
80 8600 1
0%
81 8650 1
0%
82 9000 135
2.2%
83 9500 11
0.2%
84 10000 186
3.1%
85 10500 3
0%
86 11000 21
0.3%
87 11400 1
0%
88 11500 4
0.1%
89 11700 1
0%
90 11900 1
0%
91 12000 61
1%
92 12500 2
0%
93 12700 1
0%
94 13000 32
0.5%
95 13500 2
0%
96 13600 1
0%
97 14000 15
0.2%
98 14500 3
0%
99 14800 2
0%
100 15000 47
0.8%
101 15600 1
0%
102 16000 13
0.2%
103 16500 1
0%
104 17000 6
0.1%
105 18000 16
0.3%
106 18500 1
0%
107 19000 2
0%
108 20000 29
0.5%
109 21000 1
0%
110 25000 3
0%
111 30000 2
0%
112 32000 1
0%
113 38500 1
0%
114 40000 1
0%
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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