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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / MWI_2004-2005_IHS-W2_V01_EN_M_V01_A_OCS / variable [F25]
agricultural-surveys

Second Integrated Household Survey 2004-2005

Malawi, 2004 - 2005
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Reference ID
MWI_2004-2005_IHS-W2_v01_EN_M_v01_A_OCS
Producer(s)
National Statistical Office, The World Bank
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 15, 2020
Last modified
Nov 08, 2022
Page views
96164
Downloads
1875
  • Study Description
  • Data Dictionary
  • Downloads
  • 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_r

Overview

Valid: 5285
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 176
3.3%
102 Karonga 93
1.8%
103 Nkhata Bay 57
1.1%
104 Rumphi 79
1.5%
105 Mzimba/Mzuzu City 590
11.2%
201 Kasungu 310
5.9%
202 Nkhotakota 40
0.8%
203 Ntchisi 183
3.5%
204 Dowa 333
6.3%
205 Salima 103
1.9%
206 Lilongwe/Lilongwe City 920
17.4%
207 Mchinji 265
5%
208 Dedza 437
8.3%
209 Ntcheu 283
5.4%
301 Mangochi 230
4.4%
302 Machinga 123
2.3%
303 Zomba/Zomba City 149
2.8%
304 Chiradzulu 75
1.4%
305 Blantyre/Blantyre City 58
1.1%
306 Mwanza 61
1.2%
307 Thyolo 125
2.4%
308 Mulanje 106
2%
309 Phalombe 69
1.3%
310 Chikwawa 192
3.6%
311 Nsanje 180
3.4%
312 Balaka 48
0.9%
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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