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
538323
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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 is the primary variety of [CROP] being cultivated on this [PLOT]? (ag_g0e_1)
Data file: ag_mod_g.dta
Overview
Valid:
18362
Invalid:
14315
Minimum:
101
Maximum:
3515
Type:
Discrete
Decimal:
0
Start:
55
End:
58
Width:
4
Range:
101 - 3515
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | SC 719 | 341 |
1.9%
|
| 102 | PAN 53 | 696 |
3.8%
|
| 103 | PAN 4M-21 | 36 |
0.2%
|
| 104 | DKC 80-53 | 899 |
4.9%
|
| 105 | PHB 30D79 | 7 |
0%
|
| 106 | PAN 6777 | 50 |
0.3%
|
| 107 | PAN 4m-19 | 9 |
0%
|
| 108 | PAN 5M-35 | 7 |
0%
|
| 109 | PHB 30V33 | 10 |
0.1%
|
| 110 | PHB 30G19 | 0 |
0%
|
| 111 | PAN 57 | 67 |
0.4%
|
| 112 | DKC 80-73 | 158 |
0.9%
|
| 113 | PAN 63 | 47 |
0.3%
|
| 114 | AFRIC 1 | 8 |
0%
|
| 115 | PAN 77 | 25 |
0.1%
|
| 116 | PAN 33 | 119 |
0.6%
|
| 117 | DKC 8033 | 517 |
2.8%
|
| 119 | CZR8 | 2 |
0%
|
| 120 | CZR4 | 2 |
0%
|
| 121 | CZR3 | 1 |
0%
|
| 122 | QPM | 2 |
0%
|
| 123 | DK 8051 | 103 |
0.6%
|
| 124 | DK8031 | 102 |
0.6%
|
| 125 | ZM 521 | 18 |
0.1%
|
| 126 | ZM 421 | 10 |
0.1%
|
| 127 | MR 1734 | 2 |
0%
|
| 128 | MR1724 | 1 |
0%
|
| 129 | PHB 30G97 | 1 |
0%
|
| 130 | SC 627 | 73 |
0.4%
|
| 131 | SC 515 | 6 |
0%
|
| 132 | SC 501 | 31 |
0.2%
|
| 133 | SC 407 | 137 |
0.7%
|
| 134 | ZM621 | 4 |
0%
|
| 135 | DK8041 | 103 |
0.6%
|
| 136 | SC 709 | 12 |
0.1%
|
| 137 | GV 702 | 1 |
0%
|
| 138 | mm 604 | 0 |
0%
|
| 139 | SC 621 | 13 |
0.1%
|
| 140 | SC 403 | 706 |
3.8%
|
| 141 | Pan 85 | 11 |
0.1%
|
| 142 | Pan 67 | 20 |
0.1%
|
| 143 | NSCM 31 | 10 |
0.1%
|
| 144 | MH 23 | 29 |
0.2%
|
| 145 | NSCM 91 | 2 |
0%
|
| 146 | MH 24 | 4 |
0%
|
| 147 | MH 25 | 16 |
0.1%
|
| 148 | Pan 6363 | 6 |
0%
|
| 149 | Pan 6343 | 7 |
0%
|
| 150 | PHB 3253 | 1 |
0%
|
| 151 | CX 5005 | 0 |
0%
|
| 152 | PHB 3043 | 0 |
0%
|
| 153 | NSCM 51 | 6 |
0%
|
| 154 | White Pool | 0 |
0%
|
| 155 | MH 22 | 6 |
0%
|
| 156 | Sensako 2151 | 0 |
0%
|
| 157 | MH 21 | 10 |
0.1%
|
| 158 | Sensako 2265 | 2 |
0%
|
| 159 | MH 20 | 6 |
0%
|
| 160 | Pan 6479 | 1 |
0%
|
| 161 | MH 19 | 10 |
0.1%
|
| 162 | Pan 6195 | 2 |
0%
|
| 163 | Pan 6193 | 5 |
0%
|
| 164 | MH 17 | 12 |
0.1%
|
| 165 | MH 18 | 422 |
2.3%
|
| 166 | NSCM 41 | 118 |
0.6%
|
| 167 | MH 16 | 5 |
0%
|
| 168 | MH 15 | 1 |
0%
|
| 169 | MH 12 | 6 |
0%
|
| 170 | LH 11 | 0 |
0%
|
| 171 | LH 17 | 0 |
0%
|
| 172 | MH26 | 28 |
0.2%
|
| 173 | MH27 | 3 |
0%
|
| 174 | MH28 | 4 |
0%
|
| 175 | MH29 | 1 |
0%
|
| 176 | MH30 | 7 |
0%
|
| 177 | MH31 | 1 |
0%
|
| 178 | MH32 | 12 |
0.1%
|
| 231 | White | 158 |
0.9%
|
| 232 | Yellow | 126 |
0.7%
|
| 501 | KBM 20 | 4 |
0%
|
| 502 | KBM 33 | 24 |
0.1%
|
| 503 | Mnkanachitosi, | 5 |
0%
|
| 504 | ABH 12 | 24 |
0.1%
|
| 505 | ABH 31 | 19 |
0.1%
|
| 506 | ABH43 | 11 |
0.1%
|
| 507 | BRK 2 | 22 |
0.1%
|
| 508 | BRK 4 | 207 |
1.1%
|
| 509 | BRK 7 | 15 |
0.1%
|
| 510 | MTR 88 | 1 |
0%
|
| 511 | MTR 92 | 0 |
0%
|
| 512 | ABL 109 | 4 |
0%
|
| 513 | ABL 34 | 0 |
0%
|
| 514 | KABL 3209 | 0 |
0%
|
| 515 | AFH 1 | 0 |
0%
|
| 516 | AFH2 | 0 |
0%
|
| 517 | AFH3 | 0 |
0%
|
| 518 | AFH4 | 0 |
0%
|
| 519 | KRK 26 | 10 |
0.1%
|
| 520 | KRK 30 | 1 |
0%
|
| 521 | CC 33 | 0 |
0%
|
| 522 | CC 35 | 3 |
0%
|
| 523 | CC 37 | 3 |
0%
|
| 524 | CC67 | 0 |
0%
|
| 525 | PVH 2259 | 0 |
0%
|
| 526 | NDDF or Malawi Western | 6 |
0%
|
| 527 | MW 86 | 3 |
0%
|
| 528 | MW 57 | 1 |
0%
|
| 529 | AWL 10 | 0 |
0%
|
| 530 | AWL 32 | 0 |
0%
|
| 531 | AWL 28 | 1 |
0%
|
| 532 | Other (Specify) | 41 |
0.2%
|
| 533 | Don't Know | 1363 |
7.4%
|
| 534 | Local | 7542 |
41.1%
|
| 1201 | Chitala | 6 |
0%
|
| 1202 | Chalimbana | 773 |
4.2%
|
| 1203 | Baka | 4 |
0%
|
| 1204 | Kakoma | 3 |
0%
|
| 1205 | Nsinjiro | 8 |
0%
|
| 1206 | CG 7 | 1110 |
6%
|
| 1207 | Chetembana | 12 |
0.1%
|
| 1208 | Mawanga | 27 |
0.1%
|
| 1209 | Mani Pintar | 208 |
1.1%
|
| 1210 | RG1 | 2 |
0%
|
| 2801 | Njuli | 13 |
0.1%
|
| 2802 | Bembeke | 11 |
0.1%
|
| 2803 | Zikomo | 2 |
0%
|
| 2804 | Lady rosetta | 1 |
0%
|
| 2805 | Thandizo | 10 |
0.1%
|
| 2806 | Violet | 17 |
0.1%
|
| 2807 | Chuma | 7 |
0%
|
| 2808 | Mwai | 1 |
0%
|
| 2809 | Pimpernel | 0 |
0%
|
| 2810 | Rosita | 2 |
0%
|
| 2811 | Desiree | 1 |
0%
|
| 2812 | Van der Plank | 2 |
0%
|
| 2813 | Roslin Castle | 0 |
0%
|
| 2814 | Roslin Eburu | 0 |
0%
|
| 2815 | Spartan | 0 |
0%
|
| 2816 | Roslin Tsangano | 4 |
0%
|
| 2817 | Arka | 0 |
0%
|
| 2819 | Roslin Bvumbwe | 9 |
0%
|
| 3401 | NUA 45 | 10 |
0.1%
|
| 3402 | NUA 59 | 10 |
0.1%
|
| 3403 | VTTT924/4-4 | 1 |
0%
|
| 3404 | BCMV-B2 | 2 |
0%
|
| 3405 | BC-D/O (19) | 0 |
0%
|
| 3406 | BCMV-B4 | 0 |
0%
|
| 3407 | Kabalabala | 39 |
0.2%
|
| 3408 | Kalima | 78 |
0.4%
|
| 3409 | Kholophethe | 329 |
1.8%
|
| 3410 | Mkhalira | 29 |
0.2%
|
| 3411 | Napilira | 108 |
0.6%
|
| 3412 | Sapatsika | 20 |
0.1%
|
| 3413 | Maluwa | 151 |
0.8%
|
| 3414 | Nagaga | 9 |
0%
|
| 3415 | Kambidzi | 20 |
0.1%
|
| 3501 | Pan 1867 | 4 |
0%
|
| 3502 | Serenade | 21 |
0.1%
|
| 3503 | Tikolore | 295 |
1.6%
|
| 3504 | Makwacha | 170 |
0.9%
|
| 3505 | Soprano | 1 |
0%
|
| 3506 | Solitaire | 3 |
0%
|
| 3507 | Nasoko | 126 |
0.7%
|
| 3508 | Santarosa | 1 |
0%
|
| 3509 | Duocrop | 1 |
0%
|
| 3510 | Ocepara-4 | 1 |
0%
|
| 3511 | Davis | 1 |
0%
|
| 3512 | Kudu | 0 |
0%
|
| 3513 | Impala | 1 |
0%
|
| 3514 | Bossier | 0 |
0%
|
| 3515 | Magoye | 4 |
0%
|
| Sysmiss | 14315 |
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.