Fifth Integrated Household Survey 2019-2020
Malawi, 2019 - 2020
Get Microdata
Reference ID
MWI_2019_IHS-V_v06_M
Producer(s)
National Statistical Office (NSO)
Collection(s)
Metadata
Created on
Dec 01, 2020
Last modified
Jan 16, 2024
Page views
530765
Downloads
114611
- 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
Specify why you did not attempt to borrow in the last 12months (hh_s19_oth)
Data file: HH_MOD_S2.dta
Overview
Valid:
11434
Invalid:
-
Type:
Discrete
Start:
253
End:
332
Width:
80
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11386 |
99.6%
|
||
| AFRAID OF LOANS | 10 |
0.1%
|
|
| ALREADY TAKEN CREDIT BEFORE AUGUST LAST YEAR | 1 |
0%
|
|
| ALREADY HAD DEBT FROM 2017 WAS REPAYING THAT | 1 |
0%
|
|
| ALREADY HAVE CREDIT FROM LAST YEAR THAT HADN'T BEEN PAID IN FILL | 1 |
0%
|
|
| ALREADY TAKEN BEFORE DECEMBER | 1 |
0%
|
|
| CANT AFFORD TO PAY BACK | 1 |
0%
|
|
| DIDNT THINK THE BUSINESS WILL DO WELL ENOUGH TO GET A LOAN FOR | 1 |
0%
|
|
| DO NOT KNOW PROCEDURES THAT ARE FOLLOWED FOR ONE TO ACQUIRE CREDIT | 1 |
0%
|
|
| DON'T KNOW WHERE TO GET A ROAN | 1 |
0%
|
|
| HAD OUSTANDING DEBT FROM THE PREVIOUS YEAR | 1 |
0%
|
|
| HARSH TERMS | 1 |
0%
|
|
| HAS HAD ILLNESS OF THE RELATIVE | 1 |
0%
|
|
| HE ALREADY BORROWED ON APRIL 2018 | 1 |
0%
|
|
| IT WILL BE DIFFICULT TO REPAY | 1 |
0%
|
|
| ITS DIFFICULT TO PAY BACK | 1 |
0%
|
|
| KUOPA KUTI ATHA KUDUKA NDIYE AKADUKA AZASOWA CHOBWEZA | 1 |
0%
|
|
| NO BODY CAN LEND US | 1 |
0%
|
|
| NO MONEY TO REPAY | 1 |
0%
|
|
| NO PROBLEMS | 1 |
0%
|
|
| OWN ILLNESES | 1 |
0%
|
|
| POOR CAN'T MANAGE TO GIVE BACK | 1 |
0%
|
|
| POOR TERMS AND CONDITIONS FROM MONEY LENDERS | 1 |
0%
|
|
| REFUSAL | 3 |
0%
|
|
| SHE CAN'T MANAGE TO PAY BACK SINCE SHE'S TOO OLD | 1 |
0%
|
|
| SHE DID NOT KNOW WHERE TO GET MONEY OF RETAIN | 1 |
0%
|
|
| SHE IS TOO OLD, SO PAYING BACK WILL BE A PROBLEM | 1 |
0%
|
|
| TAKES TIME TO GET THE GOODS BOUGHT IN THIS AREA | 1 |
0%
|
|
| THE HOUSEHOLD BORROWED MONEY BUT IT WAS NOT USED FOR EITHER BUSINESS OR FARMING | 1 |
0%
|
|
| THE HOUSEHOLD BORROWED MONEY BUT IT WAS NOT USED FOR FARMING OR BUSINESS | 1 |
0%
|
|
| THE HOUSEHOLD BORROWED MONEY BUT IT WAS USED FOR CONSUMPTION | 1 |
0%
|
|
| THEY ARE SCARED THEY MIGHT NOT BE ABLE TO PAY BACK THE LOAN | 1 |
0%
|
|
| TO AVOID IMPRISONMENT | 1 |
0%
|
|
| TOO MUCH RESPONSIBILITIES | 1 |
0%
|
|
| TOO OLD TO BE IN DEBTS | 1 |
0%
|
|
| TOO OLD TO BORROW | 1 |
0%
|
|
| WAITING TO FINISH PAYING OFF A PREVIOUS CREDIT | 1 |
0%
|
|
| WAS SCARED IF THE CONSEQUENCES OF NOT PAYING BACK | 1 |
0%
|
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.