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
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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
From which district/country did [NAME] move from (Code)? (hh_b15b)
Data file: HH_MOD_B
Overview
Valid:
9303
Invalid:
47106
Type:
Discrete
Decimal:
0
Start:
115
End:
117
Width:
3
Range:
101 - 517
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chitipa | 193 |
2.1%
|
| 102 | Karonga | 240 |
2.6%
|
| 103 | Nkhatabay | 149 |
1.6%
|
| 104 | Rumphi | 222 |
2.4%
|
| 105 | Mzimba | 523 |
5.6%
|
| 107 | Mzuzu City | 178 |
1.9%
|
| 201 | Kasungu | 329 |
3.5%
|
| 202 | Nkhota kota | 192 |
2.1%
|
| 203 | Ntchisi | 117 |
1.3%
|
| 204 | Dowa | 261 |
2.8%
|
| 205 | Salima | 204 |
2.2%
|
| 206 | Lilongwe | 517 |
5.6%
|
| 207 | Mchinji | 124 |
1.3%
|
| 208 | Dedza | 302 |
3.2%
|
| 209 | Ntcheu | 351 |
3.8%
|
| 210 | Lilongwe City | 401 |
4.3%
|
| 301 | Mangochi | 319 |
3.4%
|
| 302 | Machinga | 277 |
3%
|
| 303 | Zomba | 311 |
3.3%
|
| 304 | Chiradzulu | 266 |
2.9%
|
| 305 | Blanytyre | 295 |
3.2%
|
| 306 | Mwanza | 84 |
0.9%
|
| 307 | Thyolo | 500 |
5.4%
|
| 308 | Mulanje | 477 |
5.1%
|
| 309 | Phalombe | 131 |
1.4%
|
| 310 | Chikwawa | 213 |
2.3%
|
| 311 | Nsanje | 183 |
2%
|
| 312 | Balaka | 215 |
2.3%
|
| 313 | Neno | 35 |
0.4%
|
| 314 | Zomba City | 172 |
1.8%
|
| 315 | Blantyre City | 730 |
7.8%
|
| 501 | Angola | 1 |
0%
|
| 502 | Australia | 0 |
0%
|
| 503 | Botswana | 3 |
0%
|
| 504 | Canada | 0 |
0%
|
| 505 | China | 6 |
0.1%
|
| 506 | Lesotho | 0 |
0%
|
| 507 | Mozambique | 258 |
2.8%
|
| 508 | Namibia | 0 |
0%
|
| 509 | New Zealand | 0 |
0%
|
| 510 | South Africa | 50 |
0.5%
|
| 511 | Swaziland | 0 |
0%
|
| 512 | Tanzania | 65 |
0.7%
|
| 513 | United Kingdom (UK) | 3 |
0%
|
| 514 | United States of America (USA) | 3 |
0%
|
| 515 | Zambia | 208 |
2.2%
|
| 516 | Zimbabwe | 147 |
1.6%
|
| 517 | Other Country(Specify) | 48 |
0.5%
|
| Sysmiss | 47106 |
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.