Integrated Household Panel Survey 2010-2013 (Short-Term Panel)
Malawi, 2013
Get Microdata
Reference ID
MWI_2010-2013_IHPS_v01_EN_M_v01_A_OCS
Producer(s)
National Statistical Office
Collections
Metadata
Created on
Sep 17, 2020
Last modified
Nov 08, 2022
Page views
404497
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- Data files
- AG_META_13
- AG_MOD_A_FILT_13
- AG_MOD_B1_13
- AG_MOD_BA_13
- AG_MOD_BB_13
- AG_MOD_C_13
- AG_MOD_D_13
- AG_MOD_E1_13
- AG_MOD_E2_13
- AG_MOD_E3_13
- AG_MOD_E4_13
- AG_MOD_E5_13
- AG_MOD_F_13
- AG_MOD_G_13
- AG_MOD_H_13
- AG_MOD_I_13
- AG_MOD_I1_13
- AG_MOD_J_13
- AG_MOD_K_13
- AG_MOD_L_13
- AG_MOD_M_13
- AG_MOD_N_13
- AG_MOD_NR_13
- AG_MOD_O_13
- AG_MOD_O1_13
- AG_MOD_O2_13
- AG_MOD_P_13
- AG_MOD_Q_13
- AG_MOD_R1_13
- AG_MOD_R2_13
- AG_MOD_S_13
- AG_MOD_T1_13
- AG_MOD_T2_13
- AG_MOD_U1_13
- AG_MOD_U2_13
- AG_MOD_U3_13
- AG_MOD_U4_13
- COM_META_13
- COM_MOD_A_13
- COM_MOD_B_13
- COM_MOD_C_13
- COM_MOD_D_13
- COM_MOD_E_13
- COM_MOD_F1_13
- COM_MOD_F2_13
- COM_MOD_G_13
- COM_MOD_H_13
- COM_MOD_I_13
- COM_MOD_J_13
- COM_MOD_K_13
- FS_META_13
- FS_MOD_A_13
- FS_MOD_B_13
- FS_MOD_C_13
- FS_MOD_D1_13
- FS_MOD_D2_13
- FS_MOD_D3_13
- FS_MOD_D4_13
- FS_MOD_E1_13
- FS_MOD_E2_13
- FS_MOD_F1_13
- FS_MOD_F2_13
- FS_MOD_G_13
- FS_MOD_H1_13
- FS_MOD_H2_13
- FS_MOD_H3_13
- FS_MOD_H4_13
- FS_MOD_I1_13
- FS_MOD_I2_13
- FS_MOD_J1_13
- FS_MOD_J2_13
- HouseholdGeovariables_IHPS_13
- PlotGeovariables_IHPS_13
- HH_META_13
- HH_MOD_A_FILT_13
- HH_MOD_B_13
- HH_MOD_C_13
- HH_MOD_D_13
- HH_MOD_E_13
- HH_MOD_F_13
- HH_MOD_G1_13
- HH_MOD_G2_13
- HH_MOD_G3_13
- HH_MOD_H_13
- HH_MOD_I1_13
- HH_MOD_I2_13
- HH_MOD_J_13
- HH_MOD_K_13
- HH_MOD_L_13
- HH_MOD_M_13
- HH_MOD_N1_13
- HH_MOD_N2_13
- HH_MOD_O_13
- HH_MOD_P_13
- HH_MOD_Q_13
- HH_MOD_R_13
- HH_MOD_S1_13
- HH_MOD_S2_13
- HH_MOD_T_13
- HH_MOD_U_13
- HH_MOD_V_13
- HH_MOD_X_13
- IHPSMemberDatabase_13
-
Round 2 (2013)
Consumption
Aggregate_13 - HH_MOD_A_FILT_10
- HH_MOD_B_10
- HH_MOD_C_10
- HH_MOD_D_10
- HH_MOD_E_10
- HH_MOD_F_10
- HH_MOD_G1_10
- HH_MOD_G2_10
- HH_MOD_G3_10
- HH_MOD_H_10
- HH_MOD_I1_10
- HH_MOD_I2_10
- HH_MOD_J_10
- HH_MOD_K_10
- HH_MOD_L_10
- HH_MOD_M_10
- HH_MOD_N1_10
- HH_MOD_N2_10
- HH_MOD_O_10
- HH_MOD_P_10
- HH_MOD_Q_10
- HH_MOD_R_10
- HH_MOD_S1_10
- HH_MOD_S2_10
- HH_MOD_T_10
- HH_MOD_U_10
- HH_MOD_V_10
- HH_MOD_W_10
- HH_MOD_X_10
- AG_MOD_A_FILT_10
- AG_MOD_B_10
- AG_MOD_C_10
- AG_MOD_D_10
- AG_MOD_E_10
- AG_MOD_F_10
- AG_MOD_G_10
- AG_MOD_H_10
- AG_MOD_I_10
- AG_MOD_J_10
- AG_MOD_K_10
- AG_MOD_L_10
- AG_MOD_M_10
- AG_MOD_N_10
- AG_MOD_O_10
- AG_MOD_P_10
- AG_MOD_Q_10
- AG_MOD_R1_10
- AG_MOD_R2_10
- AG_MOD_S_10
- AG_MOD_T1_10
- AG_MOD_T2_10
- AG_NETWORK_10
- FS_MOD_B_FILT_10
- FS_MOD_C_10
- FS_MOD_D1_10
- FS_MOD_D2_10
- FS_MOD_D3_10
- FS_MOD_E1_10
- FS_MOD_E2_10
- FS_MOD_F1_10
- FS_MOD_F2_10
- FS_MOD_G_10
- FS_MOD_H1_10
- FS_MOD_H2_10
- FS_MOD_H3_10
- FS_MOD_I1_10
- FS_MOD_I2_10
- FS_MOD_J1_10
- FS_MOD_J2_10
- HouseholdGeovariables_IHS3_Rerelease_10
- PlotGeovariables_IHS3_Rerelease_10
- COM_CA_10
- COM_CB_10
- COM_CC_10
- COM_CD_10
- COM_CE_10
- COM_CF_10
- COM_CG1_10
- COM_CG2_10
- COM_CH_10
- COM_CI_10
- COM_CJ_10
- COM_CK_10
In which district/country was [NAME] born (Code)? (hh_b10b)
Data file: HH_MOD_B_10
Overview
Valid:
3314
Invalid:
12283
Type:
Discrete
Decimal:
0
Start:
68
End:
70
Width:
3
Range:
101 - 517
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chitipa | 89 |
2.7%
|
| 102 | Karonga | 78 |
2.4%
|
| 103 | Nkhatabay | 77 |
2.3%
|
| 104 | Rumphi | 73 |
2.2%
|
| 105 | Mzimba | 212 |
6.4%
|
| 107 | Mzuzu City | 47 |
1.4%
|
| 108 | 2 |
0.1%
|
|
| 201 | Kasungu | 120 |
3.6%
|
| 202 | Nkhota kota | 63 |
1.9%
|
| 203 | Ntchisi | 55 |
1.7%
|
| 204 | Dowa | 96 |
2.9%
|
| 205 | Salima | 84 |
2.5%
|
| 206 | Lilongwe | 133 |
4%
|
| 207 | Mchinji | 60 |
1.8%
|
| 208 | Dedza | 141 |
4.3%
|
| 209 | Ntcheu | 138 |
4.2%
|
| 210 | Lilongwe City | 102 |
3.1%
|
| 301 | Mangochi | 141 |
4.3%
|
| 302 | Machinga | 129 |
3.9%
|
| 303 | Zomba | 137 |
4.1%
|
| 304 | Chiradzulu | 102 |
3.1%
|
| 305 | Blanytyre | 100 |
3%
|
| 306 | Mwanza | 16 |
0.5%
|
| 307 | Thyolo | 192 |
5.8%
|
| 308 | Mulanje | 220 |
6.6%
|
| 309 | Phalombe | 57 |
1.7%
|
| 310 | Chikwawa | 64 |
1.9%
|
| 311 | Nsanje | 53 |
1.6%
|
| 312 | Balaka | 70 |
2.1%
|
| 313 | Neno | 5 |
0.2%
|
| 314 | Zomba City | 39 |
1.2%
|
| 315 | Blantyre City | 184 |
5.6%
|
| 501 | Angola | 0 |
0%
|
| 502 | Australia | 0 |
0%
|
| 503 | Botswana | 1 |
0%
|
| 504 | Canada | 0 |
0%
|
| 505 | China | 0 |
0%
|
| 506 | Lesotho | 0 |
0%
|
| 507 | Mozambique | 56 |
1.7%
|
| 508 | Namibia | 0 |
0%
|
| 509 | New Zealand | 0 |
0%
|
| 510 | South Africa | 11 |
0.3%
|
| 511 | Swaziland | 0 |
0%
|
| 512 | Tanzania | 18 |
0.5%
|
| 513 | United Kingdom (UK) | 0 |
0%
|
| 514 | United States of America (USA) | 3 |
0.1%
|
| 515 | Zambia | 80 |
2.4%
|
| 516 | Zimbabwe | 60 |
1.8%
|
| 517 | Other Country(Specify) | 6 |
0.2%
|
| Sysmiss | 12283 |
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.