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    Home / Central Data Catalog / BGD_2008_MONGA-R2_V01_M / variable [F60]
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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
175322
Downloads
5234
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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

Agricultural asset code (agasset)

Data file: hh_sec11e

Overview

Valid: 4938
Invalid: 0
Type: Discrete
Decimal: 0
Start: 8
End: 10
Width: 3
Range: 401 - 427
Format: Numeric

Questions and instructions

Categories
Value Category Cases
401 Tractor 4
0.1%
402 Thresher 19
0.4%
403 Power tiller 12
0.2%
404 Power pump 11
0.2%
405 Hand pump 2
0%
406 Deep tube-well 15
0.3%
407 Shallow tube-well 110
2.2%
408 Treddle pump 1
0%
409 Rower pump 0
0%
410 Doan/Sewing busket 2
0%
411 Plough and yoke 174
3.5%
412 Spray 44
0.9%
413 Husking machine 1
0%
414 Ginning machine 0
0%
415 Country boat 9
0.2%
416 Engine boat 0
0%
417 Fishing net 353
7.1%
418 Cage incubator 0
0%
419 Brooder 0
0%
420 Bees-Box 2
0%
421 Weeder 1450
29.4%
422 Ladder (Moi) 162
3.3%
423 Sickle / Dao/ Axe/Spade 1908
38.6%
424 Gola (grain storage) 336
6.8%
425 Dheki 184
3.7%
426 Jata 39
0.8%
427 Other 100
2%
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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