Third Integrated Household Survey 2010-2011
Malawi, 2010 - 2011
Get Microdata
Reference ID
MWI_2010-2011_IHS-W3_v01_EN_M_v01_A_OCS
Producer(s)
National Statistical Office (NSO)
Collections
Metadata
Created on
Sep 23, 2020
Last modified
Nov 08, 2022
Page views
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- Data files
- HH_MOD_A_FILT
- HH_MOD_B
- HH_MOD_C
- HH_MOD_D
- HH_MOD_E
- HH_MOD_F
- HH_MOD_G1
- HH_MOD_G2
- HH_MOD_G3
- HH_MOD_H
- HH_MOD_I1
- HH_MOD_I2
- HH_MOD_J
- HH_MOD_K
- HH_MOD_L
- HH_MOD_M
- HH_MOD_N1
- HH_MOD_N2
- HH_MOD_O
- HH_MOD_P
- HH_MOD_Q
- HH_MOD_R
- HH_MOD_S1
- HH_MOD_S2
- HH_MOD_T
- HH_MOD_U
- HH_MOD_V
- HH_MOD_W
- HH_MOD_X
- AG_MOD_A_FILT
- AG_MOD_B
- AG_MOD_C
- AG_MOD_D
- AG_MOD_E
- AG_MOD_F
- AG_MOD_G
- AG_MOD_H
- AG_MOD_I
- AG_MOD_J
- AG_MOD_K
- AG_MOD_L
- AG_MOD_M
- AG_MOD_N
- AG_MOD_O
- AG_MOD_P
- AG_MOD_Q
- AG_MOD_R1
- AG_MOD_R2
- AG_MOD_S
- AG_MOD_T1
- AG_MOD_T2
- AG_NETWORK
- FS_MOD_B_FILT
- FS_MOD_C
- FS_MOD_D1
- FS_MOD_D2
- FS_MOD_D3
- FS_MOD_E1
- FS_MOD_E2
- FS_MOD_F1
- FS_MOD_F2
- FS_MOD_G
- FS_MOD_H1
- FS_MOD_H2
- FS_MOD_H3
- FS_MOD_I1
- FS_MOD_I2
- FS_MOD_J1
- FS_MOD_J2
- COM_CA
- COM_CB
- COM_CC
- COM_CD
- COM_CE
- COM_CF
- COM_CG1
- COM_CG2
- COM_CH
- COM_CI
- COM_CJ
- COM_CK
- HouseholdGeovariables
- PlotGeovariables
-
Round 1 (2010)
Consumption
Aggregate - ihs3fc2M_consumption
Where does [NAME] currently live (District/Country)? (hh_o07a)
Data file: HH_MOD_O
Overview
Valid:
11190
Invalid:
0
Type:
Discrete
Start:
37
End:
60
Width:
24
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Angola | 1 |
0%
|
|
| Australia | 1 |
0%
|
|
| Balaka | 335 |
3%
|
|
| Blantyre City | 509 |
4.5%
|
|
| Blanytyre | 469 |
4.2%
|
|
| Botswana | 1 |
0%
|
|
| Chikwawa | 316 |
2.8%
|
|
| Chiradzulu | 257 |
2.3%
|
|
| Chitipa | 321 |
2.9%
|
|
| Dedza | 375 |
3.4%
|
|
| Dowa | 433 |
3.9%
|
|
| GERMANY | 1 |
0%
|
|
| IRELAND | 1 |
0%
|
|
| Karonga | 370 |
3.3%
|
|
| Kasungu | 528 |
4.7%
|
|
| Lilongwe | 829 |
7.4%
|
|
| Lilongwe City | 571 |
5.1%
|
|
| Machinga | 230 |
2.1%
|
|
| Mangochi | 206 |
1.8%
|
|
| Mchinji | 379 |
3.4%
|
|
| Mozambique | 108 |
1%
|
|
| Mulanje | 272 |
2.4%
|
|
| Mwanza | 179 |
1.6%
|
|
| Mzimba | 403 |
3.6%
|
|
| Mzuzu City | 277 |
2.5%
|
|
| Namibia | 1 |
0%
|
|
| Neno | 227 |
2%
|
|
| Nkhatabay | 216 |
1.9%
|
|
| Nkhota kota | 433 |
3.9%
|
|
| Nsanje | 221 |
2%
|
|
| Ntcheu | 269 |
2.4%
|
|
| Ntchisi | 383 |
3.4%
|
|
| Phalombe | 281 |
2.5%
|
|
| Rumphi | 252 |
2.3%
|
|
| SCOTLAND | 1 |
0%
|
|
| SWITZERLAND | 3 |
0%
|
|
| Salima | 373 |
3.3%
|
|
| South Africa | 244 |
2.2%
|
|
| Tanzania | 53 |
0.5%
|
|
| Thyolo | 225 |
2%
|
|
| United Kingdom (UK) | 18 |
0.2%
|
|
| United States of America | 9 |
0.1%
|
|
| Zambia | 81 |
0.7%
|
|
| Zimbabwe | 25 |
0.2%
|
|
| Zomba | 351 |
3.1%
|
|
| Zomba City | 152 |
1.4%
|
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.