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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / MWI_2019_IHS-W5_V01_EN_M_V01_A_OCS / variable [F2]
agricultural-surveys

Fifth Integrated Household Survey, 2019-2020

Malawi, 2019 - 2020
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Reference ID
MWI_2019_IHS-W5_v01_EN_M_v01_A_OCS
Producer(s)
National Statistical Office (NSO)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 01, 2021
Last modified
Nov 08, 2022
Page views
285057
Downloads
24492
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • HH_MOD_META.dta
  • hh_mod_a_filt.dta
  • HH_MOD_B.dta
  • HH_MOD_C.dta
  • HH_MOD_D.dta
  • HH_MOD_E.dta
  • HH_MOD_F.dta
  • HH_MOD_F1.dta
  • HH_MOD_G1.dta
  • HH_MOD_G2.dta
  • HH_MOD_G3.dta
  • HH_MOD_H.dta
  • HH_MOD_I1.dta
  • HH_MOD_I2.dta
  • HH_MOD_J.dta
  • HH_MOD_K1.dta
  • HH_MOD_K2.dta
  • HH_MOD_L.dta
  • HH_MOD_M.dta
  • HH_MOD_N1.dta
  • HH_MOD_N2.dta
  • HH_MOD_O.dta
  • HH_MOD_P.dta
  • HH_MOD_Q.dta
  • HH_MOD_R.dta
  • HH_MOD_S1.dta
  • HH_MOD_S2.dta
  • HH_MOD_T.dta
  • HH_MOD_U.dta
  • HH_MOD_V.dta
  • HH_MOD_W.dta
  • HH_MOD_X.dta
  • ag_mod_meta.dta
  • ag_mod_a.dta
  • ag_mod_b2.dta
  • ag_mod_c.dta
  • ag_mod_d.dta
  • ag_mod_e1.dta
  • ag_mod_e2.dta
  • ag_mod_e3.dta
  • ag_mod_e4.dta
  • ag_mod_f.dta
  • ag_mod_g.dta
  • ag_mod_h.dta
  • ag_mod_i.dta
  • ag_mod_i_1.dta
  • ag_mod_i2.dta
  • ag_mod_j.dta
  • ag_mod_k.dta
  • ag_mod_l.dta
  • ag_mod_m.dta
  • ag_mod_n.dta
  • ag_mod_nr.dta
  • ag_mod_o.dta
  • ag_mod_o_1.dta
  • ag_mod_o2.dta
  • ag_mod_p.dta
  • ag_mod_q.dta
  • ag_mod_q_1.dta
  • ag_mod_r1.dta
  • ag_mod_r2.dta
  • ag_mod_s.dta
  • ag_mod_t1.dta
  • ag_mod_t2.dta
  • fs_mod_meta.dta
  • fs_mod_a.dta
  • fs_mod_b.dta
  • fs_mod_c.dta
  • fs_mod_d1.dta
  • fs_mod_d2.dta
  • fs_mod_d3.dta
  • fs_mod_e1.dta
  • fs_mod_e2.dta
  • fs_mod_f1.dta
  • fs_mod_f2.dta
  • fs_mod_g.dta
  • fs_mod_h1.dta
  • fs_mod_h2.dta
  • fs_mod_h3.dta
  • fs_mod_i1.dta
  • fs_mod_i2.dta
  • fs_mod_j1.dta
  • fs_mod_j2.dta
  • com_meta.dta
  • com_ca.dta
  • com_cb.dta
  • com_cc.dta
  • com_cd.dta
  • com_ce.dta
  • com_cf1.dta
  • com_cf2.dta
  • com_cg.dta
  • com_ch.dta
  • com_ci.dta
  • com_cj.dta
  • com_ck.dta

IHS5 2019 District Location (district)

Data file: hh_mod_a_filt.dta

Overview

Valid: 11434
Invalid: -
Minimum: 101
Maximum: 315
Type: Discrete
Decimal: 0
Start: 54
End: 56
Width: 3
Range: 101 - 315
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Chitipa 384
3.4%
102 Karonga 384
3.4%
103 Nkhatabay 336
2.9%
104 Rumphi 332
2.9%
105 Mzimba 324
2.8%
106 Likoma 32
0.3%
107 Mzuzu City 384
3.4%
201 Kasungu 384
3.4%
202 Nkhotakota 356
3.1%
203 Ntchisi 336
2.9%
204 Dowa 336
2.9%
205 Salima 368
3.2%
206 Lilongwe 574
5%
207 Mchinji 352
3.1%
208 Dedza 352
3.1%
209 Ntcheu 352
3.1%
210 Lilongwe City 542
4.7%
301 Mangochi 382
3.3%
302 Machinga 353
3.1%
303 Zomba Non-City 352
3.1%
304 Chiradzulu 352
3.1%
305 Blantyre 368
3.2%
306 Mwanza 319
2.8%
307 Thyolo 384
3.4%
308 Mulanje 368
3.2%
309 Phalombe 352
3.1%
310 Chikwawa 352
3.1%
311 Nsanje 352
3.1%
312 Balaka 367
3.2%
313 Neno 319
2.8%
314 Zomba City 333
2.9%
315 Blantyre City 353
3.1%
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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