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    Home / Central Data Catalog / LSMS / MWI_2019_IHS-V_V06_M / variable [F29]
lsms

Fifth Integrated Household Survey 2019-2020

Malawi, 2019 - 2020
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Reference ID
MWI_2019_IHS-V_v06_M
DOI
https://doi.org/10.48529/mpyk-ds48
Producer(s)
National Statistical Office (NSO)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 01, 2020
Last modified
Jan 16, 2024
Page views
714413
Downloads
153411
  • Study Description
  • Data Description
  • Documentation
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  • 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
  • ihs_foodconversion_factor_2020.dta
  • caloric_conversionfactor.dta
  • householdgeovariables_ihs5.dta
  • plotgeovariables_ihs5.dta
  • ihs_treeconversion_factor_2020.dta
  • ihs_seasonalcropconversion_factor_2020.dta
  • ihs5_consumption_aggregate.dta
  • mrk_mod_a.dta
  • mrk_mod_b.dta
  • mrk_mod_c.dta
  • mrk_mod_d.dta
  • mrk_mod_otherspecify.dta

SHOCKS (hh_u0a)

Data file: HH_MOD_U.dta

Overview

Valid: 262982
Invalid: -
Minimum: 101
Maximum: 1102
Type: Discrete
Decimal: 0
Start: 45
End: 48
Width: 4
Range: 101 - 1102
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Drought 11434
4.3%
102 Floods 11434
4.3%
103 Earthquakes 11434
4.3%
104 Unusually High Level of Crop Pests or Disease 11434
4.3%
105 Unusually High Level of Livestock Disease 11434
4.3%
106 Unusually Low Prices for Agricultural Output 11434
4.3%
107 Unusually High Costs of Agricultural Inputs 11434
4.3%
108 Unusually High Prices for Food 11434
4.3%
109 End of Regular Assistance/Aid/Remittances From Outside Household 11434
4.3%
110 Reduction in the Earnings from Household (Non-Agricultural) Business (Not due to Illness or Accident) 11434
4.3%
111 Household (Non-Agricultural) Business Failure (Not due to Illness or Accident) 11434
4.3%
112 Reduction in the Earnings of Currently Salaried Household Member(s) (Not due to Illness or Accident) 11434
4.3%
113 Loss of Employment of Previously Salaried Household Member(s) (Not due to Illness or Accident) 11434
4.3%
114 Serious Ilness or Accident of Household Member(s) 11434
4.3%
115 Birth in the Household 11434
4.3%
116 Death of Income Earner(s) 11434
4.3%
117 Death of Other Household Member(s) 11434
4.3%
118 Break-Up of Household 11434
4.3%
119 Theft of Money/Valuables/Assets/Agricultural Output 11434
4.3%
120 Conflict/Violence 11434
4.3%
121 Other (Specify) 11434
4.3%
1101 Irregular Rains 11434
4.3%
1102 Landslides 11434
4.3%
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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