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
107340
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
What crop do you plan to plant in this [PLOT] after the next rainy season? (ag_d70)
Data file: ag_mod_d.dta
Overview
Valid:
13147
Invalid:
4546
Minimum:
1
Maximum:
48
Type:
Discrete
Decimal:
0
Start:
1222
End:
1223
Width:
2
Range:
1 - 48
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | MAIZE LOCAL | 2497 |
19%
|
| 2 | MAIZE COMPOSITE/OPV | 0 |
0%
|
| 3 | MAIZE HYBRID | 0 |
0%
|
| 4 | MAIZE HYBRID RECYCLED | 0 |
0%
|
| 5 | TOBACCO BURLEY | 274 |
2.1%
|
| 6 | TOBACCO FLUE CURED | 0 |
0%
|
| 7 | TOBACCO NNDF | 0 |
0%
|
| 8 | TOBACCO SDF | 0 |
0%
|
| 9 | TOBACCO ORIENTAL | 0 |
0%
|
| 10 | OTHER TOBACCO (SPECIFY) | 0 |
0%
|
| 11 | GROUNDNUT CHALIMBANA | 0 |
0%
|
| 12 | GROUNDNUT CG7 | 688 |
5.2%
|
| 13 | GROUNDNUT MANI-PINTAR | 0 |
0%
|
| 14 | GROUNDNUT MAWANGA | 0 |
0%
|
| 15 | GROUNDNUT JL24 | 0 |
0%
|
| 16 | OTHER GROUNDNUT (SPECIFY) | 0 |
0%
|
| 17 | RICE LOCAL | 77 |
0.6%
|
| 18 | RICE FAYA | 0 |
0%
|
| 19 | RICE PUSA | 0 |
0%
|
| 20 | RICE TCG10 | 0 |
0%
|
| 21 | RICE IET4094 (SENGA) | 0 |
0%
|
| 22 | RICE WAMBONE | 0 |
0%
|
| 23 | RICE KILOMBERO | 0 |
0%
|
| 24 | RICE ITA | 0 |
0%
|
| 25 | RICE MTUPATUPA | 0 |
0%
|
| 26 | OTHER RICE (SPECIFY) | 0 |
0%
|
| 27 | GROUND BEAN(NZAMA) | 21 |
0.2%
|
| 28 | SWEET POTATO | 265 |
2%
|
| 29 | IRISH [MALAWI] POTATO | 90 |
0.7%
|
| 30 | WHEAT | 2 |
0%
|
| 31 | FINGER MILLET(MAWERE) | 32 |
0.2%
|
| 32 | SORGHUM | 214 |
1.6%
|
| 33 | PEARL MILLET(MCHEWERE) | 87 |
0.7%
|
| 34 | BEANS | 706 |
5.4%
|
| 35 | SOYABEAN | 811 |
6.2%
|
| 36 | PIGEONPEA(NANDOLO) | 1685 |
12.8%
|
| 37 | COTTON | 82 |
0.6%
|
| 38 | SUNFLOWER | 116 |
0.9%
|
| 39 | SUGAR CANE | 43 |
0.3%
|
| 40 | CABBAGE | 1 |
0%
|
| 41 | TANAPOSI | 9 |
0.1%
|
| 42 | NKHWANI | 4150 |
31.6%
|
| 43 | THERERE/OKRA | 85 |
0.6%
|
| 44 | TOMATO | 76 |
0.6%
|
| 45 | ONION | 13 |
0.1%
|
| 46 | PEAS | 246 |
1.9%
|
| 47 | PAPRIKA | 8 |
0.1%
|
| 48 | OTHER SPECIFY 1 | 869 |
6.6%
|
| 49 | OTHER SPECIFY 2 | 0 |
0%
|
| Sysmiss | 4546 |
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.