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)
Metadata
Created on
Jan 16, 2021
Last modified
Jan 16, 2024
Page views
50874
Downloads
550
- 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
Please specify the main disease affecting the plants in the [PLOT]? (ag_p08_1oth)
Data file: ag_mod_p.dta
Overview
Valid:
7893
Invalid:
-
Type:
Discrete
Start:
293
End:
326
Width:
34
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 7838 |
99.3%
|
||
| ATTACKED BY TEMANKHUNI | 1 |
0%
|
|
| BANANA BROWN STREAK DISEASE | 1 |
0%
|
|
| BANANA BUNCHY TOP | 1 |
0%
|
|
| BANANA DISEASE | 1 |
0%
|
|
| BANANA DRIES | 1 |
0%
|
|
| BANANA UNKNOWN | 1 |
0%
|
|
| CHISAKA | 1 |
0%
|
|
| CHIWAWU | 2 |
0%
|
|
| DOES NOT THE SPECIFIC DISEASES | 1 |
0%
|
|
| DON'T KNOW | 19 |
0.2%
|
|
| DON'T KNOW ( WHITE SPOTS ) | 1 |
0%
|
|
| DON'T KNOW THE DISEASE | 1 |
0%
|
|
| DONT KNOW | 6 |
0.1%
|
|
| KAWODZERA | 1 |
0%
|
|
| KODIKODI | 2 |
0%
|
|
| L DONT KNOW | 1 |
0%
|
|
| LIWAWU | 1 |
0%
|
|
| LUMPS IN THE FRUIT | 1 |
0%
|
|
| MANGO DISEASE | 1 |
0%
|
|
| MBOZI | 1 |
0%
|
|
| MPHUTSI FOUND INSIDE OF THE FRUITS | 1 |
0%
|
|
| Sysmiss | 1 | ||
| NKHANGAUDE | 1 |
0%
|
|
| NSABWE | 1 |
0%
|
|
| ROT DISEASE | 1 |
0%
|
|
| ROTTEN ONE SIDE | 1 |
0%
|
|
| ROTTENING | 1 |
0%
|
|
| ROTTING | 1 |
0%
|
|
| ROTTING OF FRESH- DISEASE UNKNOWN | 1 |
0%
|
|
| TREE JUST DRIED UP | 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.