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
320819
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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
From which district/country did [NAME] move from (Descr)? (hh_b15a)
Data file: HH_MOD_B_13
Overview
Valid:
4018
Invalid:
0
Type:
Discrete
Start:
88
End:
103
Width:
16
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| BAKALI | 1 |
0%
|
|
| BALAKA | 126 |
3.1%
|
|
| BLANTRE | 1 |
0%
|
|
| BLANTYRE | 385 |
9.6%
|
|
| BLANTYRE CITY | 1 |
0%
|
|
| BLANTYURE CITY | 1 |
0%
|
|
| BLAWAYO | 1 |
0%
|
|
| BOTSWANA | 1 |
0%
|
|
| BRANTYRE | 2 |
0%
|
|
| BWANJE/NU | 1 |
0%
|
|
| CHIKHWAWA | 12 |
0.3%
|
|
| CHIKWAWA | 78 |
1.9%
|
|
| CHILADZULO | 1 |
0%
|
|
| CHILADZULU | 7 |
0.2%
|
|
| CHILADZURU | 1 |
0%
|
|
| CHIRADZULO | 9 |
0.2%
|
|
| CHIRADZULU | 69 |
1.7%
|
|
| CHITIPA | 88 |
2.2%
|
|
| CITY OF LILONGWE | 3 |
0.1%
|
|
| DEDZA | 151 |
3.8%
|
|
| DOWA | 116 |
2.9%
|
|
| DWANGWA | 1 |
0%
|
|
| INDIA | 1 |
0%
|
|
| KALONGA | 4 |
0.1%
|
|
| KARONGA | 93 |
2.3%
|
|
| KASUNGU | 152 |
3.8%
|
|
| KHOTAKOTA | 1 |
0%
|
|
| LIKOMA | 3 |
0.1%
|
|
| LILONGWE | 443 |
11%
|
|
| LILONGWE CITY | 6 |
0.1%
|
|
| LILONGWE URBAN | 1 |
0%
|
|
| LUANDA | 4 |
0.1%
|
|
| LUMPHI | 1 |
0%
|
|
| MACHINGA | 99 |
2.5%
|
|
| MANGOCHI | 155 |
3.9%
|
|
| MAZAMBIQUE | 1 |
0%
|
|
| MCHINJI | 71 |
1.8%
|
|
| MOCAMBIQUE | 1 |
0%
|
|
| MOZAMBIQUE | 56 |
1.4%
|
|
| MULANJE | 157 |
3.9%
|
|
| MWANZA | 16 |
0.4%
|
|
| MZIMBA | 238 |
5.9%
|
|
| MZUZU | 147 |
3.7%
|
|
| MZUZU CITY | 3 |
0.1%
|
|
| NAIROBI | 4 |
0.1%
|
|
| NCHINJI | 3 |
0.1%
|
|
| NENO | 6 |
0.1%
|
|
| NIGERIA | 3 |
0.1%
|
|
| NKHATA BAY | 1 |
0%
|
|
| NKHATA-BAY | 8 |
0.2%
|
|
| NKHATABAY | 65 |
1.6%
|
|
| NKHOTA-KOTA | 3 |
0.1%
|
|
| NKHOTAKOTA | 103 |
2.6%
|
|
| NKKHOTAKOTA | 1 |
0%
|
|
| NSANJE | 61 |
1.5%
|
|
| NTCHEU | 135 |
3.4%
|
|
| NTCHISI | 67 |
1.7%
|
|
| NTHOLO | 1 |
0%
|
|
| NTHYOLO | 3 |
0.1%
|
|
| PHALOMBE | 24 |
0.6%
|
|
| RUMPHI | 103 |
2.6%
|
|
| RUPHI | 4 |
0.1%
|
|
| S.AFRICA | 2 |
0%
|
|
| S/AFRICA | 1 |
0%
|
|
| SALIMA | 98 |
2.4%
|
|
| SOUTH AFRICA | 14 |
0.3%
|
|
| TANZANIA | 11 |
0.3%
|
|
| TAZANIA | 1 |
0%
|
|
| TCHOLO | 1 |
0%
|
|
| THYOLO | 213 |
5.3%
|
|
| USA | 1 |
0%
|
|
| ZAMBIA | 62 |
1.5%
|
|
| ZIMBABWE | 33 |
0.8%
|
|
| ZOMBA | 274 |
6.8%
|
|
| ZOMBA CITY | 3 |
0.1%
|
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.