Integrated Household Panel Survey 2010-2013 (Short-Term Panel, 204 EAs)
Malawi, 2010 - 2013
Get Microdata
Reference ID
MWI_2010-2013_IHPS_v01_M
Producer(s)
National Statistical Office
Created on
Jul 07, 2015
Last modified
Mar 29, 2019
Page views
352185
Downloads
791
- 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
How much did you pay (do you expect to have paid) in total when you will have pa (hh_s11)
Data file: HH_MOD_S1_13
Overview
Valid:
1016
Invalid:
3120
Minimum:
0
Maximum:
50000000
Type:
Discrete
Decimal:
0
Start:
41
End:
48
Width:
8
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 30 | |
| 105 | |
| 200 | |
| 250 | |
| 400 | |
| 500 | |
| 510 | |
| 550 | |
| 600 | |
| 650 | |
| 700 | |
| 750 | |
| 1000 | |
| 1100 | |
| 1200 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2250 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2650 | |
| 2900 | |
| 3000 | |
| 3230 | |
| 3300 | |
| 3400 | |
| 3450 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3750 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4100 | |
| 4400 | |
| 4500 | |
| 4550 | |
| 4600 | |
| 4800 | |
| 5000 | |
| 5500 | |
| 5600 | |
| 6000 | |
| 6200 | |
| 6250 | |
| 6300 | |
| 6500 | |
| 6700 | |
| 6900 | |
| 7000 | |
| 7200 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 7800 | |
| 8000 | |
| 8200 | |
| 8400 | |
| 8500 | |
| 8800 | |
| 9000 | |
| 9500 | |
| 9600 | |
| 10000 | |
| 10300 | |
| 10400 | |
| 10500 | |
| 10800 | |
| 11000 | |
| 11200 | |
| 11500 | |
| 11550 | |
| 11960 | |
| 12000 | |
| 12200 | |
| 12400 | |
| 12500 | |
| 12600 | |
| 12750 | |
| 12800 | |
| 13000 | |
| 13200 | |
| 13400 | |
| 13500 | |
| 13700 | |
| 14000 | |
| 14300 | |
| 14500 | |
| 14600 | |
| 15000 | |
| 15050 | |
| 15700 | |
| 16000 | |
| 16250 | |
| 16500 | |
| 16800 | |
| 17500 | |
| 18000 | |
| 18500 | |
| 18750 | |
| 19000 | |
| 19200 | |
| 19500 | |
| 20000 | |
| 20400 | |
| 21000 | |
| 22000 | |
| 22500 | |
| 22800 | |
| 23000 | |
| 23957 | |
| 24000 | |
| 24500 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 27200 | |
| 27285 | |
| 27500 | |
| 28000 | |
| 29000 | |
| 29615 | |
| 29800 | |
| 30000 | |
| 31000 | |
| 31950 | |
| 32000 | |
| 33000 | |
| 33600 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37650 | |
| 38800 | |
| 39000 | |
| 39600 | |
| 40000 | |
| 40100 | |
| 41500 | |
| 42000 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 45800 | |
| 46000 | |
| 47000 | |
| 47200 | |
| 48000 | |
| 48300 | |
| 48700 | |
| 49000 | |
| 49500 | |
| 49600 | |
| 50000 | |
| 51000 | |
| 52000 | |
| 52500 | |
| 54000 | |
| 55000 | |
| 55550 | |
| 56000 | |
| 57600 | |
| 58000 | |
| 59325 | |
| 60000 | |
| 60500 | |
| 62000 | |
| 64168 | |
| 65000 | |
| 66000 | |
| 68000 | |
| 69000 | |
| 70000 | |
| 72000 | |
| 73000 | |
| 74000 | |
| 75000 | |
| 78000 | |
| 79000 | |
| 80000 | |
| 85000 | |
| 87000 | |
| 89000 | |
| 90000 | |
| 91800 | |
| 93000 | |
| 95000 | |
| 96000 | |
| 98000 | |
| 99250 | |
| 99600 | |
| 100000 | |
| 101760 | |
| 105000 | |
| 110000 | |
| 116000 | |
| 117000 | |
| 118800 | |
| 119960 | |
| 120000 | |
| 122000 | |
| 125000 | |
| 126000 | |
| 128872 | |
| 130000 | |
| 132000 | |
| 140000 | |
| 144000 | |
| 145000 | |
| 148000 | |
| 150000 | |
| 151000 | |
| 155000 | |
| 156000 | |
| 160000 | |
| 168000 | |
| 170000 | |
| 175000 | |
| 180000 | |
| 182000 | |
| 188000 | |
| 192000 | |
| 194000 | |
| 200000 | |
| 240000 | |
| 245000 | |
| 260000 | |
| 288000 | |
| 296000 | |
| 300000 | |
| 306000 | |
| 310000 | |
| 320000 | |
| 340000 | |
| 345000 | |
| 350000 | |
| 380000 | |
| 390000 | |
| 400000 | |
| 460000 | |
| 470000 | |
| 500000 | |
| 521600 | |
| 620000 | |
| 624000 | |
| 800000 | |
| 830000 | |
| 850000 | |
| 900000 | |
| 1200000 | |
| 1500000 | |
| 1656000 | |
| 1900000 | |
| 2470000 | |
| 3500000 | |
| 4700000 | |
| 4800000 | |
| 28000000 | |
| 50000000 | |
| Sysmiss |
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.