Addressing Extreme Poverty in Bangladesh – The Case of Monga 2008 - 2009, Round 3
Bangladesh, 2009
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
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- Data files
- access
- 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
- sec_6_3
- sec_6_4_5
- sec_6_6
- sec_7
- sec_8_1
- sec_8_2
- hh_id_001
- hh_sec1a_001
- hh_sec2_001
- hh_sec3_001
- hh_sec5a_001
- hh_sec5b_001
- hh_sec5c_001
- hh_sec6a_001
- hh_sec6b_001
- hh_sec6c_001
- hh_sec6d_001
- hh_sec6e_001
- hh_sec6f1_001
- hh_sec6f2_001
- hh_sec6f3_001
- hh_sec6f4_001
- hh_sec6f5_001
- hh_sec7_001
- hh_sec8a1
- hh_sec8a3
- hh_sec8a4
- hh_sec8a5
- hh_sec8a23
- hh_sec8b
- hh_sec9a_001
- hh_sec9b1_1_001
- hh_sec9b2_1_001
- hh_sec9d1_001
- hh_sec9d2_001
- hh_sec10a_001
- hh_sec10b_001
- hh_sec10c_001
- hh_sec11a_001
- hh_sec11b_001
- hh_sec11c_001
- hh_sec11d_001
- hh_sec11e_001
- hh_sec12ab_001
What crops was promised in advance to obtain loan? (q18_2)
Data file: hh_sec10a_001
Overview
Valid:
0
Invalid:
281
Type:
Discrete
Decimal:
0
Start:
91
End:
93
Width:
3
Range:
11 - 703
Format:
Numeric
Questions and instructions
Categories
| Value | Category |
|---|---|
| 11 | Aus (Local) |
| 12 | Aus (L/LIV) |
| 13 | Aus (HYV) |
| 14 | Aman (Local) |
| 15 | T. Aman (L/LIV) |
| 16 | T. Aman (HYV) |
| 17 | T. Aman (Hybreed) |
| 18 | Boro (Local) |
| 19 | Boro (HYV) |
| 20 | Bore Hybreed |
| 21 | BRRI 33 |
| 22 | Wheat (L) |
| 23 | Wheat (HYV) |
| 24 | Maize |
| 25 | Barley |
| 26 | Job |
| 27 | Cheena |
| 28 | Kaun(Italian millet) |
| 29 | Joar(Great millet) |
| 30 | Bojra(Pearl millet) |
| 31 | Other |
| 41 | Dhonche |
| 42 | Jute |
| 43 | Mesta |
| 44 | Cotton |
| 45 | Other fibre |
| 51 | Lintel |
| 52 | Mung |
| 53 | Black gram (Mashkalai) |
| 54 | Vetch(Khesari) |
| 55 | Chick Pea |
| 56 | Pigeon pea (Aarohor) |
| 57 | Field pea (Motor) |
| 58 | Motor kalai |
| 59 | Others |
| 60 | Oil Seeds |
| 61 | Sesame |
| 62 | Musterd |
| 63 | Ground nut/pea nut |
| 64 | Soybean |
| 65 | Castor (rerri) |
| 66 | Other oil |
| 71 | Chili |
| 72 | Onion |
| 73 | Garlic |
| 74 | Turmeric |
| 75 | Ginger |
| 76 | Dhania/Coriander |
| 77 | Other spices |
| 101 | Pumpkin |
| 102 | Bringal (egg plant) |
| 103 | Patal |
| 104 | Okra |
| 105 | Ridge gourd |
| 106 | Bitter gourd |
| 107 | Arum |
| 108 | Ash gourd |
| 109 | Cucumber |
| 110 | Cow pea |
| 111 | Snake gourd |
| 112 | Danta |
| 113 | Green banana |
| 114 | Cauli flower |
| 115 | Cabbage |
| 116 | Chinese cabbage |
| 117 | Water gourd |
| 118 | Sweet gourd |
| 119 | Tomato |
| 120 | Raddish |
| 121 | Turnip |
| 122 | Green Papaya |
| 123 | Kakrol |
| 124 | Yam Stem |
| 125 | Other green Vegetables |
| 126 | DrumStick |
| 127 | Bean |
| 128 | Coriander leaf |
| 201 | Pui Shak |
| 202 | Palang Shak (Spinach) |
| 203 | Lal Shak |
| 204 | Kalmi Shak |
| 205 | Danta Shak |
| 206 | Kachu Shak |
| 207 | Lau Shak |
| 208 | Mula Shak |
| 209 | Khesari Shak |
| 210 | Other green Leafy vegetables |
| 211 | Potato Leaves |
| 301 | Banana |
| 302 | Mango |
| 303 | Pineapple |
| 304 | Jack fruit |
| 305 | Papaya |
| 306 | Water melon |
| 307 | Bangi/Phuti/ |
| 308 | Litchis |
| 309 | Guava |
| 310 | Ata Fruit |
| 311 | Orange |
| 312 | Lemon |
| 313 | Shaddock (pomelo) |
| 314 | Black berry |
| 315 | Other fruits lemon |
| 316 | Other fruits |
| 317 | Boroi(Bitter Plum) |
| 318 | Rose Apple |
| 319 | Wood Apple |
| 320 | Ambada/Hoq Plum |
| 321 | Pomegranate |
| 322 | Bilimbi |
| 323 | Chalta |
| 324 | Tamarind(pulp) |
| 325 | Olive(wild) |
| 326 | Coconut |
| 411 | Potato |
| 412 | Sweet potato |
| 413 | Mulberry(Tunt) |
| 501 | Sugar cane |
| 502 | Date (Date palm) |
| 503 | Palm (Taal) |
| 504 | Juice |
| 505 | Tea |
| 601 | Tobacco |
| 602 | Betel nut |
| 603 | Betel leaf |
| 604 | Other nesha |
| 701 | Jute stick |
| 702 | Straw |
| 703 | Others |
| Sysmiss |
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.