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    Home / Central Data Catalog / LSMS / MWI_2004_IHS-II_V01_M / variable [F25]
lsms

Second Integrated Household Survey 2004-2005

Malawi, 2004 - 2005
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Reference ID
MWI_2004_IHS-II_v01_M
DOI
https://doi.org/10.48529/2ked-2t88
Producer(s)
National Statistical Office
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 09, 2015
Last modified
Jan 30, 2020
Page views
266885
Downloads
18403
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • sec_a
  • sec_aa
  • sec_ab
  • sec_ac
  • sec_ad
  • sec_b
  • sec_c
  • sec_d
  • sec_e
  • sec_f
  • sec_g
  • sec_h
  • sec_i
  • sec_j1
  • sec_j2
  • sec_k
  • sec_l
  • sec_m1
  • sec_m2
  • sec_n
  • sec_o
  • sec_p
  • sec_q1
  • sec_q2
  • sec_r
  • sec_s
  • sec_t
  • sec_u
  • sec_v
  • sec_w
  • sec_x
  • sec_y
  • sec_z1
  • sec_z2
  • Filters
  • ihs2_ag
  • ihs2_anthro
  • ihs2_ea_data
  • ihs2_exp
  • ihs2_household
  • ihs2_individ
  • ihs2_pov
  • mod_a
  • mod_b
  • mod_c
  • mod_d
  • mod_e
  • mod_f
  • mod_g
  • mod_g50better
  • mod_g50worse
  • mod_h

What crops were grown on this plot in the last dry season (r07a)

Data file: sec_r

Overview

Valid: 5270
Invalid: 15
Type: Discrete
Decimal: 0
Start: 57
End: 58
Width: 2
Range: 0 - 27
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 End of list 9
0.2%
1 Local maize 553
10.5%
2 Composite maize 109
2.1%
3 Hybrid maize 1474
28%
4 Cassava 1
0%
5 Sweet potato 286
5.4%
6 Irish potato 238
4.5%
7 Groundnut 0
0%
8 Ground bean (nzama) 0
0%
9 Rice 182
3.5%
10 Finger millet (mawere) 0
0%
11 Sorghum 0
0%
12 Pearl millet 0
0%
13 Bean 277
5.3%
14 Soyabean 0
0%
15 Pigeonpea 1
0%
16 Burley tobacco 0
0%
17 Tobacco - other 0
0%
18 Cotton 0
0%
19 Sugar cane 273
5.2%
20 Cabbage 137
2.6%
21 Tanaposi 859
16.3%
22 Nkwani 127
2.4%
23 Therere/Okra 3
0.1%
24 Tomato 516
9.8%
25 Onion 87
1.7%
26 Peas 57
1.1%
27 Other (spec.) 81
1.5%
Sysmiss 15
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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