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    Home / Central Data Catalog / BGD_2008_MONGA-R2_V01_M / variable [F53]
central

Addressing Extreme Poverty in Bangladesh – The Case of Monga 2008 - 2009, Round 2

Bangladesh, 2009
Reference ID
BGD_2008_MONGA-R2_v01_M
Producer(s)
The World Bank
Metadata
DDI/XML JSON
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
175432
Downloads
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  • identity
  • price_grocery
  • respondent_info
  • sec_1_a
  • sec_1_b
  • sec_2
  • sec_3
  • sec_4
  • sec_5_1_4
  • sec_5_5
  • sec_6_1
  • sec_6_2
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  • sec_6_4_5
  • sec_6_6
  • sec_7
  • sec_8_1
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  • wages_october(kartik)
  • hh_id_002
  • hh_sec1a_002
  • hh_sec2
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  • hh_sec5a
  • hh_sec5b
  • hh_sec5c
  • hh_sec5d
  • hh_sec6a
  • hh_sec6b
  • hh_sec6c
  • hh_sec6d
  • hh_sec6e
  • hh_sec6f1
  • hh_sec6f2
  • hh_sec6f3
  • hh_sec6f4
  • hh_sec6f5
  • hh_sec7
  • hh_sec8a1_001
  • hh_sec8a3_001
  • hh_sec8a4
  • hh_sec8a5
  • hh_sec8a23
  • hh_sec8b
  • hh_sec9a
  • hh_sec9b1
  • hh_sec9b1_1
  • hh_sec9b2
  • hh_sec9b2_1
  • hh_sec9d1
  • hh_sec9d2
  • hh_sec10a
  • hh_sec10b
  • hh_sec10c
  • hh_sec10d
  • hh_sec11a
  • hh_sec11b
  • hh_sec11c
  • hh_sec11d
  • hh_sec11e
  • hh_sec12ab
  • hh_sec13

What crops was promised in advance to obtain loan? (q2_1)

Data file: hh_sec10b

Overview

Valid: 15
Invalid: 2333
Type: Discrete
Decimal: 0
Start: 10
End: 12
Width: 3
Range: 1 - 703
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 1
6.7%
2 2
13.3%
11 B. Aus (L) 0
0%
12 T. Aus (L/LIV) 0
0%
13 T. Aus (HYV) 0
0%
14 Aman (L) 0
0%
15 B. Aman (Mixed) 0
0%
16 T. Aman (L/LIV) 1
6.7%
17 T. Aman (HYV) 0
0%
18 Boro (L) 2
13.3%
19 Boro (HYV) 3
20%
20 Bore hibreed 4
26.7%
21 BRRI 33 0
0%
22 Wheat (L) 0
0%
23 Wheat (HYV) 0
0%
24 Maize 0
0%
25 Barley 0
0%
26 Job 0
0%
27 Cheena 0
0%
28 Kaun(Italian millet) 0
0%
29 Joar(Great millet) 0
0%
30 Bojra(Pearl millet) 0
0%
31 Other 0
0%
41 Jute 0
0%
42 Cotton 0
0%
43 Lime 0
0%
44 Other(bamboo) 0
0%
45 Other Fibre 0
0%
51 Lintel 0
0%
52 mung 0
0%
53 Black gram (Mashkalai) 0
0%
54 Vetch(Khesari) 0
0%
55 Chick Pea 0
0%
56 Pigeon pea (Aarohor) 0
0%
57 Field pea (Motor) 0
0%
58 motor kalai 0
0%
59 others1 0
0%
61 Oil Seeds 0
0%
62 Sesame 0
0%
63 Mustar 0
0%
64 Ground nut/pea nut 0
0%
65 Soybean 0
0%
66 Castor (rerri) 0
0%
67 White mustard 0
0%
71 Chili 1
6.7%
72 Onion 0
0%
73 Garlic 0
0%
74 Turmeric 0
0%
75 Ginger 0
0%
76 Dhania/Coriander 0
0%
77 Other spices 0
0%
101 Pumpkin 0
0%
102 Bringal (egg plant) 0
0%
103 Patal 0
0%
104 Okra 0
0%
105 Ridge gourd 0
0%
106 Bitter gourd 0
0%
107 Arum 0
0%
108 Ash gourd 0
0%
109 Cucumber 0
0%
110 Cow pea 0
0%
111 Snake gourd 0
0%
112 Danta 0
0%
113 Green banana 0
0%
114 Cauli flower 0
0%
115 Cabbage 0
0%
116 Chinese cabbage 0
0%
117 Water gourd 0
0%
118 Sweet gourd 0
0%
119 Tomato 0
0%
120 Raddish 0
0%
121 Turnip 0
0%
122 Green Papaya 0
0%
123 Kakrol 0
0%
124 Yam Stem 0
0%
125 Other green Vegetables 0
0%
126 DrumStick 0
0%
127 bean 0
0%
128 Coriander leaf 0
0%
201 Pui Shak 0
0%
202 Palang Shak (Spinach) 0
0%
203 Lal Shak 0
0%
204 Kalmi Shak 0
0%
205 Danta Shak 0
0%
206 Kachu Shak 0
0%
207 Lau Shak 0
0%
208 Mula Shak 0
0%
209 Khesari Shak 0
0%
210 Other green Leafy vegetables 0
0%
211 Potato Leaves 0
0%
301 Banana 0
0%
302 Mango 0
0%
303 Pineapple 0
0%
304 Jack fruit 0
0%
305 Papaya 0
0%
306 Water melon 0
0%
307 Bangi/Phuti/ 0
0%
308 Musk melon 0
0%
309 Litchis 0
0%
310 Guava 0
0%
311 Orange 0
0%
312 Lemon 0
0%
313 Shaddock (pomelo) 0
0%
314 Black berry 0
0%
315 Other fruits lemon 0
0%
316 Other fruits 0
0%
317 Boroi(Bitter Plum) 0
0%
318 Rose Apple 0
0%
319 Wood Apple 0
0%
320 Ambada/Hoq Plum 0
0%
321 Pomegranate 0
0%
322 Bilimbi 0
0%
323 Chalta 0
0%
324 Tamarind(pulp) 0
0%
325 Olive(wild) 0
0%
326 Other 0
0%
411 potato 1
6.7%
412 sweet potato 0
0%
413 Mulberry(Tunt) 0
0%
501 Sugar cane 0
0%
502 Date (Date palm) 0
0%
503 Palm (Taal) 0
0%
504 Juice 0
0%
505 tea 0
0%
601 Tobacco 0
0%
602 Betel nut 0
0%
603 Betel leaf 0
0%
604 Other nesha 0
0%
701 Jute stick 0
0%
702 Straw 0
0%
703 others2 0
0%
Sysmiss 2333
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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