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
51092
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
IHS5 2019 District Location (district)
Data file: hh_mod_a_filt.dta
Overview
Valid:
11434
Invalid:
-
Minimum:
101
Maximum:
315
Type:
Discrete
Decimal:
0
Start:
54
End:
56
Width:
3
Range:
101 - 315
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chitipa | 384 |
3.4%
|
| 102 | Karonga | 384 |
3.4%
|
| 103 | Nkhatabay | 336 |
2.9%
|
| 104 | Rumphi | 332 |
2.9%
|
| 105 | Mzimba | 324 |
2.8%
|
| 106 | Likoma | 32 |
0.3%
|
| 107 | Mzuzu City | 384 |
3.4%
|
| 201 | Kasungu | 384 |
3.4%
|
| 202 | Nkhotakota | 356 |
3.1%
|
| 203 | Ntchisi | 336 |
2.9%
|
| 204 | Dowa | 336 |
2.9%
|
| 205 | Salima | 368 |
3.2%
|
| 206 | Lilongwe | 574 |
5%
|
| 207 | Mchinji | 352 |
3.1%
|
| 208 | Dedza | 352 |
3.1%
|
| 209 | Ntcheu | 352 |
3.1%
|
| 210 | Lilongwe City | 542 |
4.7%
|
| 301 | Mangochi | 382 |
3.3%
|
| 302 | Machinga | 353 |
3.1%
|
| 303 | Zomba Non-City | 352 |
3.1%
|
| 304 | Chiradzulu | 352 |
3.1%
|
| 305 | Blantyre | 368 |
3.2%
|
| 306 | Mwanza | 319 |
2.8%
|
| 307 | Thyolo | 384 |
3.4%
|
| 308 | Mulanje | 368 |
3.2%
|
| 309 | Phalombe | 352 |
3.1%
|
| 310 | Chikwawa | 352 |
3.1%
|
| 311 | Nsanje | 352 |
3.1%
|
| 312 | Balaka | 367 |
3.2%
|
| 313 | Neno | 319 |
2.8%
|
| 314 | Zomba City | 333 |
2.9%
|
| 315 | Blantyre City | 353 |
3.1%
|
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.