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    Home / Central Data Catalog / LSMS / MWI_2004_IHS-II_V01_M / variable [F29]
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
250671
Downloads
17886
  • 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

Stratum: district&urb/rural (30 total) (strata)

Data file: sec_v

Overview

Valid: 3913
Invalid: 0
Type: Discrete
Decimal: 0
Start: 223
End: 225
Width: 3
Range: 101 - 404
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Chitipa 115
2.9%
102 Karonga 124
3.2%
103 Nkhata Bay 51
1.3%
104 Rumphi 45
1.2%
105 Mzimba 98
2.5%
201 Kasungu 116
3%
202 Nkhotakota 59
1.5%
203 Ntchisi 59
1.5%
204 Dowa 167
4.3%
205 Salima 43
1.1%
206 Lilongwe,non-city 320
8.2%
207 Mchinji 67
1.7%
208 Dedza 153
3.9%
209 Ntcheu 250
6.4%
301 Mangochi 278
7.1%
302 Machinga 214
5.5%
303 Zomba, non-city 159
4.1%
304 Chiradzulu 85
2.2%
305 Blantyre, non-city 147
3.8%
306 Mwanza 59
1.5%
307 Thyolo 129
3.3%
308 Mulanje 114
2.9%
309 Phalombe 81
2.1%
310 Chikwawa 109
2.8%
311 Nsanje 173
4.4%
312 Balaka 75
1.9%
401 Mzuzu City 118
3%
402 Lilongwe City 175
4.5%
403 Zomba City 122
3.1%
404 Blantyre City 208
5.3%
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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