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    Home / Central Data Catalog / ASIA / UNHCR_AFG_2020_CBI_PDM_V2.1 / variable [hh]
ASIA

Eastern Region: Post-Distribution Monitoring of Cash-Based Interventions - 2020

Afghanistan, 2021
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Reference ID
UNHCR_AFG_2020_CBI_PDM_v2.1
Producer(s)
UNHCR
Collections
Asia Pacific Post-Distribution Monitoring
Metadata
DDI/XML JSON
Created on
Mar 21, 2022
Last modified
Mar 21, 2022
Page views
13503
Downloads
1854
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  • microdata

(e3a_items_price_increase)

Data file: microdata

Overview

Valid: 123
Invalid: 161
Type: Discrete
Range: 1 - 79
Format: Factor

Questions and instructions

Categories
Value Category Cases
1 5-10% increases in the costs of foods and medicines observed. 1
0.8%
2 All accomodaties are increased in price. 1
0.8%
3 All accomodaties have been increased in price. 1
0.8%
4 All construction items 1
0.8%
5 All construction materials 3
2.4%
6 All first food items 1
0.8%
7 All food and none food items 1
0.8%
8 All food and items 1
0.8%
9 All food items 3
2.4%
10 All food product and households prices have increased 1
0.8%
11 All foods and household prices have been increased due to COVID 19 pandemic. 1
0.8%
12 All item 1
0.8%
13 All items 12
9.8%
14 All items are increased in prices 1
0.8%
15 All items prices are increased. 1
0.8%
16 All the accessories are high in price. 1
0.8%
17 All the items 1
0.8%
18 All the items and services due to the changing of currency to Afghni 1
0.8%
19 All types of food 1
0.8%
20 All types of item 1
0.8%
21 Almost all stuff prices have been increased 1
0.8%
22 Both Food and Non food items 1
0.8%
23 Bricks, cement 1
0.8%
24 Cement 5
4.1%
25 Cement and few construction materials and items 1
0.8%
26 Cement and other construction items 1
0.8%
27 Cement and other construction materials and items 4
3.3%
28 Cement, bricks 1
0.8%
29 Consruction materials 1
0.8%
30 Construction materials 5
4.1%
31 Construction Materials and Food items 1
0.8%
32 Construction materials and labour cost. 1
0.8%
33 Construction materials and transportation cost. 1
0.8%
34 Construction materials as well as the labour cost. 1
0.8%
35 Construction materials, transportation cost as well as labour costs. 1
0.8%
36 Due go Coved 19 isulation effect to get high prices 1
0.8%
37 Few construction materials/items 1
0.8%
38 First Basic life items 1
0.8%
39 Flour and sugar 1
0.8%
40 Flour, oil, fire wood, medical, and mobile credit card 1
0.8%
41 Food and all other household items 1
0.8%
42 Food and medication 1
0.8%
43 Food and medicine 1
0.8%
44 Food and Medicines 1
0.8%
45 Food and NFI 1
0.8%
46 Food and Non food items, Transportation cost, Rent of houses 1
0.8%
47 Food and none food items 1
0.8%
48 Food and Nonfood items 1
0.8%
49 Food items 11
8.9%
50 Food items and cloths 1
0.8%
51 Food items and medicine 8
6.5%
52 Food items mostly and Transportation cost 1
0.8%
53 Food items only 1
0.8%
54 Food items, medicine and covid-19 related products 1
0.8%
55 Food, cloths and medication 1
0.8%
56 Food, Firewoods and most important items relevant to basic life condition 1
0.8%
57 Foods (flour), medicine 1
0.8%
58 For food items 1
0.8%
59 In all food and medical 1
0.8%
60 In all item 1
0.8%
61 In all type of items 1
0.8%
62 Little bit in the price of food anf non-food items 1
0.8%
63 Livlihood assets 1
0.8%
64 Medications 1
0.8%
65 Medicine and foods. 1
0.8%
66 Oil & sugar 1
0.8%
67 Oil and flour 1
0.8%
68 Some medicine items i.e. vit-d, vit-c and azithromycine and HCQ were high cost including foods and other daily useage items. 1
0.8%
69 Some time due covid_19 isulation the price of items get high . 1
0.8%
70 The accomodaties prices are increasing. 1
0.8%
71 The construction materials 1
0.8%
72 The cost of food and NFI 1
0.8%
73 The cost of NFI, Medicine and food items 1
0.8%
74 The cost of NFI, medicine and other market items get high prices 1
0.8%
75 The price of all construction materials and transport costs increased. 1
0.8%
76 Wearing items such as clothes and other food and non food items 1
0.8%
77 Wood for heating 2
1.6%
78 Yes all the items. 1
0.8%
79 Yes in all items. 1
0.8%
Missing value 161
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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