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
2
- 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 in total / estimated total value of [..] consumed? (hh_k03)
Data file: HH_MOD_K_13
Overview
Valid:
9045
Invalid:
70955
Minimum:
0
Maximum:
4000000
Type:
Discrete
Decimal:
0
Start:
17
End:
23
Width:
7
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 2 | |
| 10 | |
| 17 | |
| 20 | |
| 30 | |
| 40 | |
| 50 | |
| 60 | |
| 70 | |
| 80 | |
| 100 | |
| 120 | |
| 140 | |
| 150 | |
| 160 | |
| 170 | |
| 180 | |
| 190 | |
| 200 | |
| 230 | |
| 240 | |
| 250 | |
| 270 | |
| 275 | |
| 280 | |
| 290 | |
| 300 | |
| 320 | |
| 350 | |
| 360 | |
| 370 | |
| 380 | |
| 400 | |
| 420 | |
| 450 | |
| 470 | |
| 500 | |
| 530 | |
| 550 | |
| 560 | |
| 570 | |
| 600 | |
| 640 | |
| 650 | |
| 670 | |
| 680 | |
| 700 | |
| 740 | |
| 750 | |
| 780 | |
| 790 | |
| 800 | |
| 820 | |
| 840 | |
| 850 | |
| 900 | |
| 940 | |
| 950 | |
| 980 | |
| 1000 | |
| 1050 | |
| 1100 | |
| 1140 | |
| 1150 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1350 | |
| 1360 | |
| 1400 | |
| 1450 | |
| 1500 | |
| 1550 | |
| 1560 | |
| 1600 | |
| 1650 | |
| 1680 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1850 | |
| 1900 | |
| 1950 | |
| 1960 | |
| 1980 | |
| 2000 | |
| 2050 | |
| 2100 | |
| 2150 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2350 | |
| 2400 | |
| 2450 | |
| 2500 | |
| 2600 | |
| 2650 | |
| 2700 | |
| 2736 | |
| 2750 | |
| 2800 | |
| 2850 | |
| 2900 | |
| 2950 | |
| 3000 | |
| 3045 | |
| 3100 | |
| 3150 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3330 | |
| 3350 | |
| 3400 | |
| 3450 | |
| 3500 | |
| 3600 | |
| 3650 | |
| 3700 | |
| 3750 | |
| 3785 | |
| 3800 | |
| 3830 | |
| 3850 | |
| 3900 | |
| 3950 | |
| 4000 | |
| 4050 | |
| 4100 | |
| 4200 | |
| 4300 | |
| 4500 | |
| 4550 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5100 | |
| 5150 | |
| 5200 | |
| 5250 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 5900 | |
| 6000 | |
| 6050 | |
| 6200 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6600 | |
| 6700 | |
| 6800 | |
| 6900 | |
| 7000 | |
| 7200 | |
| 7300 | |
| 7500 | |
| 7600 | |
| 7800 | |
| 8000 | |
| 8200 | |
| 8400 | |
| 8500 | |
| 8600 | |
| 8900 | |
| 9000 | |
| 9200 | |
| 9300 | |
| 9500 | |
| 9550 | |
| 9600 | |
| 9700 | |
| 9800 | |
| 9860 | |
| 9900 | |
| 10000 | |
| 10200 | |
| 10300 | |
| 10450 | |
| 10500 | |
| 10800 | |
| 11000 | |
| 11200 | |
| 11500 | |
| 12000 | |
| 12100 | |
| 12300 | |
| 12500 | |
| 12700 | |
| 13000 | |
| 13100 | |
| 13500 | |
| 13800 | |
| 14000 | |
| 14100 | |
| 14300 | |
| 14400 | |
| 14500 | |
| 14600 | |
| 15000 | |
| 15200 | |
| 15500 | |
| 15600 | |
| 15800 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 17100 | |
| 17300 | |
| 17500 | |
| 17800 | |
| 17849 | |
| 18000 | |
| 18400 | |
| 18500 | |
| 18600 | |
| 18900 | |
| 19000 | |
| 19500 | |
| 20000 | |
| 20500 | |
| 21000 | |
| 21700 | |
| 22000 | |
| 22200 | |
| 22800 | |
| 23000 | |
| 23700 | |
| 24000 | |
| 25000 | |
| 25400 | |
| 26000 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 29000 | |
| 29500 | |
| 29650 | |
| 29700 | |
| 29800 | |
| 30000 | |
| 31000 | |
| 31500 | |
| 32000 | |
| 32200 | |
| 32500 | |
| 33000 | |
| 33500 | |
| 34000 | |
| 34250 | |
| 35000 | |
| 35500 | |
| 36000 | |
| 36400 | |
| 37000 | |
| 38000 | |
| 38500 | |
| 38700 | |
| 39000 | |
| 39450 | |
| 40000 | |
| 40250 | |
| 40800 | |
| 41900 | |
| 42000 | |
| 43200 | |
| 43500 | |
| 44000 | |
| 44200 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 47800 | |
| 48000 | |
| 48750 | |
| 50000 | |
| 52000 | |
| 54900 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 59000 | |
| 60000 | |
| 61500 | |
| 62000 | |
| 62300 | |
| 63500 | |
| 64000 | |
| 65000 | |
| 66000 | |
| 67000 | |
| 67500 | |
| 68500 | |
| 70000 | |
| 72000 | |
| 73000 | |
| 75000 | |
| 76500 | |
| 77200 | |
| 78000 | |
| 80000 | |
| 81000 | |
| 82000 | |
| 83000 | |
| 88000 | |
| 89000 | |
| 90000 | |
| 92000 | |
| 100000 | |
| 102000 | |
| 105000 | |
| 107000 | |
| 114000 | |
| 115000 | |
| 120000 | |
| 123000 | |
| 125000 | |
| 126600 | |
| 130000 | |
| 132500 | |
| 139000 | |
| 140000 | |
| 150000 | |
| 155250 | |
| 170000 | |
| 178000 | |
| 179925 | |
| 180000 | |
| 190000 | |
| 191200 | |
| 200000 | |
| 218400 | |
| 228000 | |
| 230000 | |
| 250000 | |
| 254000 | |
| 257000 | |
| 260000 | |
| 300000 | |
| 312000 | |
| 320000 | |
| 324000 | |
| 350000 | |
| 366000 | |
| 400000 | |
| 500000 | |
| 520000 | |
| 720000 | |
| 735000 | |
| 759000 | |
| 800000 | |
| 900000 | |
| 1200000 | |
| 4000000 | |
| 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.