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
50513
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
B10b. In which country was [NAME] born? (hh_b10b)
Data file: HH_MOD_B.dta
Overview
Valid:
502
Invalid:
49974
Minimum:
503
Maximum:
517
Type:
Discrete
Decimal:
0
Start:
71
End:
73
Width:
3
Range:
503 - 517
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 501 | Angola | 0 |
0%
|
| 502 | Australia | 0 |
0%
|
| 503 | Botswana | 1 |
0.2%
|
| 504 | Canada | 0 |
0%
|
| 505 | China | 0 |
0%
|
| 506 | Lesotho | 0 |
0%
|
| 507 | Mozambique | 163 |
32.5%
|
| 508 | Namibia | 0 |
0%
|
| 509 | New Zealand | 0 |
0%
|
| 510 | South Africa | 50 |
10%
|
| 511 | Swaziland | 1 |
0.2%
|
| 512 | Tanzania | 38 |
7.6%
|
| 513 | United | 0 |
0%
|
| 514 | United States of America(USA) | 0 |
0%
|
| 515 | Zambia | 131 |
26.1%
|
| 516 | Zimbabwe | 93 |
18.5%
|
| 517 | Other Country(Specify) | 25 |
5%
|
| Sysmiss | 49974 |
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.