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ASIA

Livelihoods Programme Monitoring Beneficiary Survey, 2021

Bangladesh, 2021
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Reference ID
UNHCR_BGD_2021_LIS_data_v1.1
Producer(s)
UNHCR
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Asia Pacific Livelihoods Information System
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Created on
Sep 18, 2022
Last modified
Sep 23, 2024
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1.6 In which camp/site/settlement/town is this household located? (Village)

Data file: Household data

Overview

Valid: 335
Invalid: 314
Type: Discrete
Range: 1 - 105
Format: Factor

Questions and instructions

Categories
Value Category Cases
1 Acharbonia 1
0.2%
2 Acherbonia 5
0.8%
3 Acserbonia 1
0.2%
4 Alikhali dakhin 2
0.3%
5 Alikhali Dakhin 2
0.3%
6 Alikhali dakshin 1
0.2%
7 Alikhali Uttor 2
0.3%
8 Ashrayan and Guccha Gram 2
0.3%
9 Baharchora para 1
0.2%
10 Balukhali 2
0.3%
11 Bara Lechuaprang 1
0.2%
12 Bara Lechuaprang 5
0.8%
13 Bottoli 2
0.3%
14 Boura Para 1
0.2%
15 Chak boitha 4
0.6%
16 Chakboitha 6
0.9%
17 Dail para 2
0.3%
18 Dailpara 1
0.2%
19 Ghoriar Dip 3
0.5%
20 Goyalmara 1
0.2%
21 Habib chora 1
0.2%
22 Habib Chora 3
0.5%
23 Habirchara 2
0.3%
24 Harinmara 4
0.6%
25 Horikhola 4
0.6%
26 Horikola 1
0.2%
27 Jadimura 7
1.1%
28 Jamtali 1
0.2%
29 Jamtoli 1
0.2%
30 Jonathan para 3
0.5%
31 Kamariar bill 5
0.8%
32 Kanjor Para korachi Para 1
0.2%
33 Kanjor Para Tilla para 4
0.6%
34 Kanjor Para Uttor Para 4
0.6%
35 Kashiar Beel 2
0.3%
36 Khurer Mukh 2
0.3%
37 Kirontoli,Chakmarkul 1
0.2%
38 Kona Para 3
0.5%
39 Konarpara 4
0.6%
40 Konarpora 1
0.2%
41 Kowaingchari Para 1
0.2%
42 Koyeangchori para 1
0.2%
43 Kurabujjar para 2
0.3%
44 Kurermuk 2
0.3%
45 Leda (Purba para) 1
0.2%
46 Leda purba para 1
0.2%
47 Md .Sopir bil 1
0.2%
48 Md sopir bil 2
0.3%
49 Md.Sopir bil 1
0.2%
50 Mitapanir Chora 1
0.2%
51 Mithapanir chora 1
0.2%
52 Mithapanir Chora 2
0.3%
53 Modhu ghona 1
0.2%
54 Mohuripara 1
0.2%
55 Molovipara 1
0.2%
56 Muhammad Shafir Bil 1
0.2%
57 Muhammad Shofir Bil 1
0.2%
58 Muhammad Shofir bill 2
0.3%
59 Napit para 11
1.7%
60 Napit Para 3
0.5%
61 Nayapara 1
0.2%
62 Nutmura para 6
0.9%
63 Nutmura Para 1
0.2%
64 Pankhali Purba Para 1
0.2%
65 Paschim Nayapara Shalbagan 2
0.3%
66 Patabari 2
0.3%
67 Pinjirkul 3
0.5%
68 Porchim Moricha 1
0.2%
69 Purba Pankhali para 3
0.5%
70 Purba Pankhli Para 1
0.2%
71 Purba Satghoria Para 1
0.2%
72 Purba Satghoria Para 5
0.8%
73 Purbo Ratnapalong 4
0.6%
74 Raikong Daskin para 1
0.2%
75 Raikong Daskin Para 1
0.2%
76 Raikong Daskin Para 1
0.2%
77 Raikong Pothibonia 1
0.2%
78 Raikong putibonia 1
0.2%
79 Rajachora 1
0.2%
80 Rajapalong 3
0.5%
81 Rajar chora 1
0.2%
82 Rajarchora 4
0.6%
83 Razarchara 4
0.6%
84 Rejurkul 3
0.5%
85 Rojarghona 2
0.3%
86 ROUP POTI 1
0.2%
87 Rup poti 3
0.5%
88 Ruppoti 5
0.8%
89 Shah Porir Dwip 1
0.2%
90 Shahaporir dwip 3
0.5%
91 Shahaporir Dwip 1
0.2%
92 Shahaporir Dwip Uttar 2
0.3%
93 Shahporir dwip 1
0.2%
94 Shahporir Dwip 1
0.2%
95 Shampooing Diwip 1
0.2%
96 Shampooing Diwip north 3
0.5%
97 Sikder para poshcim para 1
0.2%
98 Sikder para poshcim para 6
0.9%
99 Sikderbeel 1
0.2%
100 Taipalong 1
0.2%
101 Test 1
0.2%
102 Tuturbeel 3
0.5%
103 Ukhiya 99
15.3%
104 Uluchamari 4
0.6%
105 Unchiprang 7
1.1%
Missing value 314
48.4%
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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