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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / MWI_2004-2005_IHS-W2_V01_EN_M_V01_A_OCS / variable [F26]
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
87333
Downloads
1664
  • 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_s

Overview

Valid: 54478
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 1140
2.1%
102 Karonga 915
1.7%
103 Nkhata Bay 540
1%
104 Rumphi 690
1.3%
105 Mzimba/Mzuzu City 4920
9%
201 Kasungu 2670
4.9%
202 Nkhotakota 555
1%
203 Ntchisi 1635
3%
204 Dowa 2520
4.6%
205 Salima 1215
2.2%
206 Lilongwe/Lilongwe City 9690
17.8%
207 Mchinji 1875
3.4%
208 Dedza 3794
7%
209 Ntcheu 2700
5%
301 Mangochi 3330
6.1%
302 Machinga 1815
3.3%
303 Zomba/Zomba City 2100
3.9%
304 Chiradzulu 1125
2.1%
305 Blantyre/Blantyre City 765
1.4%
306 Mwanza 900
1.7%
307 Thyolo 1875
3.4%
308 Mulanje 1529
2.8%
309 Phalombe 900
1.7%
310 Chikwawa 2580
4.7%
311 Nsanje 2100
3.9%
312 Balaka 600
1.1%
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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