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    Home / Central Data Catalog / LSMS / MWI_2004_IHS-II_V01_M / variable [F18]
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
262068
Downloads
18294
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • 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

DISTRICT (dist)

Data file: sec_m1

Overview

Valid: 214319
Invalid: 0
Type: Discrete
Decimal: 0
Start: 14
End: 16
Width: 3
Range: 101 - 312
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Chitipa 4560
2.1%
102 Karonga 4560
2.1%
103 Nkhata Bay 4560
2.1%
104 Rumphi 4560
2.1%
105 Mzimba/Mzuzu City 13680
6.4%
201 Kasungu 9120
4.3%
202 Nkhotakota 4560
2.1%
203 Ntchisi 4560
2.1%
204 Dowa 9120
4.3%
205 Salima 4560
2.1%
206 Lilongwe/Lilongwe City 27359
12.8%
207 Mchinji 4560
2.1%
208 Dedza 9120
4.3%
209 Ntcheu 9120
4.3%
301 Mangochi 13680
6.4%
302 Machinga 9120
4.3%
303 Zomba/Zomba City 13680
6.4%
304 Chiradzulu 4560
2.1%
305 Blantyre/Blantyre City 13680
6.4%
306 Mwanza 4560
2.1%
307 Thyolo 9120
4.3%
308 Mulanje 9120
4.3%
309 Phalombe 4560
2.1%
310 Chikwawa 9120
4.3%
311 Nsanje 4560
2.1%
312 Balaka 4560
2.1%
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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