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
566796
Downloads
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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
Specify the main reason for obtaining loan. (hh_s06_oth)
Data file: HH_MOD_S1.dta
Overview
Valid:
11773
Invalid:
-
Type:
Discrete
Start:
77
End:
133
Width:
57
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11588 |
98.4%
|
||
| ASSIST RELATIVES | 1 |
0%
|
|
| BICYCLE REPAIR | 1 |
0%
|
|
| BICYCLE REPAIRING | 1 |
0%
|
|
| BUILD HOUSE / BUY MATERIALS | 11 |
0.1%
|
|
| BUY FOOD | 6 |
0.1%
|
|
| BUY OTHER HOUSEHOLD ITEMS | 3 |
0%
|
|
| BUYING TREES USED FOR THE HOUSE | 1 |
0%
|
|
| COURT DUES SETTLEMENT | 1 |
0%
|
|
| FOR MOTORCYCLE SERVICE | 1 |
0%
|
|
| FUNERAL EXPENSES | 1 |
0%
|
|
| HE WANT MENDING BICYCLE | 1 |
0%
|
|
| HIRING LAWYER | 1 |
0%
|
|
| HOUSE HOLD USE | 1 |
0%
|
|
| HOUSEHOLD HARVESTING ACTIVITIES | 1 |
0%
|
|
| HOUSEHOLD OX-CART MAINTENANCE AND REPAIRS | 1 |
0%
|
|
| INVEST IN CROP FARMING | 2 |
0%
|
|
| MAINTENANCE OF BOATS AND TO BUY OTHER SERVICES OF ENGINE | 1 |
0%
|
|
| NON HOUSEHOLD EXPENDITURE | 3 |
0%
|
|
| ONE BAG OF FERTILIZER | 1 |
0%
|
|
| PAID ANOTHER LOAN | 1 |
0%
|
|
| PAY FOR GOOD | 1 |
0%
|
|
| PAY FOR TREATMENT | 36 |
0.3%
|
|
| PAY LABOUR | 8 |
0.1%
|
|
| PAY POLICE FINES | 1 |
0%
|
|
| PAY SCHOOL DUES | 56 |
0.5%
|
|
| PURCHASE FARM INPUTS | 6 |
0.1%
|
|
| PURCHASE HOUSE MATERIALS | 1 |
0%
|
|
| PURCHASE SEEDS | 1 |
0%
|
|
| REPAIR SEWING MACHINE | 1 |
0%
|
|
| REPAIRING BICYCLE AND CONSUMPTION | 1 |
0%
|
|
| REPAYING ANOTHER LOAN | 1 |
0%
|
|
| SENT TO HIS HOME VILLAGE | 1 |
0%
|
|
| SENT TO THE VILLAGE | 1 |
0%
|
|
| SOYA BEAN SEEDS TO PLANT | 1 |
0%
|
|
| START / BOOST BUSINESS | 3 |
0%
|
|
| THE HEAD WAS GOING TO SOUTH AFRICA | 1 |
0%
|
|
| TO GIVE DAUGHTER WHO IS AT BOARDING | 1 |
0%
|
|
| TO GIVE HER SON A POCKET MONEY | 1 |
0%
|
|
| TO PAY LEGAL FINE | 1 |
0%
|
|
| TO PAY RENT | 5 |
0%
|
|
| TO PURCHASE MOTORCYCLE SERVICE, REPAIR OR PARTS | 1 |
0%
|
|
| TO SETTLE ANOTHER LOAN | 1 |
0%
|
|
| TRANSPORT EXPENSES | 15 |
0.1%
|
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.