Addressing Extreme Poverty in Bangladesh – The Case of Monga 2008 - 2009, Round 2
Bangladesh, 2009
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
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- Data files
- 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
- wages_october(kartik)
- hh_id_002
- hh_sec1a_002
- hh_sec2
- hh_sec3
- 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? (q18_2)
Data file: hh_sec10a
Overview
Valid:
4
Invalid:
496
Type:
Discrete
Decimal:
0
Start:
92
End:
94
Width:
3
Range:
2 - 703
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 2 | 2 |
50%
|
|
| 11 | Aus (Local) | 0 |
0%
|
| 12 | Aus (L/LIV) | 0 |
0%
|
| 13 | Aus (HYV) | 0 |
0%
|
| 14 | Aman (Local) | 0 |
0%
|
| 15 | T. Aman (L/LIV) | 0 |
0%
|
| 16 | T. Aman (HYV) | 0 |
0%
|
| 17 | T. Aman (Hybreed) | 0 |
0%
|
| 18 | Boro (Local) | 0 |
0%
|
| 19 | Boro (HYV) | 1 |
25%
|
| 20 | Bore Hybreed | 1 |
25%
|
| 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 | Dhonche | 0 |
0%
|
| 42 | Jute | 0 |
0%
|
| 43 | Mesta | 0 |
0%
|
| 44 | Cotton | 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 | Others | 0 |
0%
|
| 60 | Oil Seeds | 0 |
0%
|
| 61 | Sesame | 0 |
0%
|
| 62 | Musterd | 0 |
0%
|
| 63 | Ground nut/pea nut | 0 |
0%
|
| 64 | Soybean | 0 |
0%
|
| 65 | Castor (rerri) | 0 |
0%
|
| 66 | Other oil | 0 |
0%
|
| 71 | Chili | 0 |
0%
|
| 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 | Litchis | 0 |
0%
|
| 309 | Guava | 0 |
0%
|
| 310 | Ata Fruit | 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 | Coconut | 0 |
0%
|
| 411 | Potato | 0 |
0%
|
| 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 | Others | 0 |
0%
|
| Sysmiss | 496 |
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.