Fifth Integrated Household Survey 2019-2020
Malawi, 2019 - 2020
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Reference ID
MWI_2019_IHS-V_v05_M
Producer(s)
National Statistical Office (NSO)
Collection(s)
Metadata
Created on
Dec 01, 2020
Last modified
Oct 18, 2021
Page views
227334
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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
..activities that are important sources of employment for individuals..?(3rd) (com_ce01c)
Data file: com_ce.dta
Overview
Valid:
426
Invalid:
284
Minimum:
1
Maximum:
11
Type:
Discrete
Decimal:
0
Start:
13
End:
14
Width:
2
Range:
1 - 11
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | FARMING | 16 |
3.8%
|
| 2 | FISHING | 8 |
1.9%
|
| 3 | FIREWOOD,CHARCOAL SELLING | 59 |
13.8%
|
| 4 | SMALL-SCALE TRADE & SERVICE PROVISION | 80 |
18.8%
|
| 5 | BEER BREWING, KACHASU | 88 |
20.7%
|
| 6 | HANDICRAFT PRODUCTION, SMALL-SCALE INDUSTRY | 14 |
3.3%
|
| 7 | TRANSPORT | 39 |
9.2%
|
| 8 | LARGE-SCALE COMMERCIAL INDUSTRY | 13 |
3.1%
|
| 9 | PROFESSIONAL OCCUPATIONS | 22 |
5.2%
|
| 10 | CIVIL SERVICE | 48 |
11.3%
|
| 11 | OTHER (SPECIFY) | 39 |
9.2%
|
| Sysmiss | 284 |
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.