Living Conditions Monitoring Survey VII 2015
Zambia, 2015
Created on
Jun 26, 2017
Last modified
Jun 26, 2017
Page views
57210
Downloads
724
- Data files
- blocked_lstock
- crop_costs_expenses
- deaths
- expenditure_bev
- expenditure_cereal
- expenditure_dairy
- expenditure_edu
- expenditure_fin
- expenditure_hea
- expenditure_hyg
- expenditure_maiz
- expenditure_meat
- expenditure_oth
- expenditure_rent
- expenditure_salt
- expenditure_trans
- expenditure_veg
- fish_expenses
- household_dwelling_and_others
- householdaccesstofacilities
- householdgeneralassets
- householdkitchen
- householdroster
- incomefromsaleofcrop
- INCOMEFROMSALEOFLIVESTOCK
- INCOMEFROMSALEOFPOUTRY
- livestock_costs_expenses
- livestock_ownership
- poverty
- production_food_crops
- production_non_food
- projects_changes
- remittances
- SPECIFY_ASSETS
- tools_machines
- transport_animals
- underfivecard
- Zambia_exp_2010_2015
How much would you get, if you sold the item today? (sec7q5b)
Data file: householdkitchen
Overview
Valid:
26762
Invalid:
14
Minimum:
0
Maximum:
2000000000
Type:
Discrete
Decimal:
2
Start:
55
End:
67
Width:
13
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 0.01 | |
| 0.1 | |
| 0.15 | |
| 0.2 | |
| 0.5 | |
| 1 | |
| 1.1 | |
| 1.2 | |
| 1.3 | |
| 1.4 | |
| 1.5 | |
| 1.7 | |
| 1.9 | |
| 2 | |
| 2.05 | |
| 2.1 | |
| 2.2 | |
| 2.3 | |
| 2.5 | |
| 2.7 | |
| 2.9 | |
| 3 | |
| 3.1 | |
| 3.4 | |
| 3.5 | |
| 4 | |
| 4.5 | |
| 5 | |
| 6 | |
| 7 | |
| 7.5 | |
| 8 | |
| 8.5 | |
| 9 | |
| 9.5 | |
| 10 | |
| 10.5 | |
| 11 | |
| 12 | |
| 12.5 | |
| 13 | |
| 14 | |
| 15 | |
| 16 | |
| 17 | |
| 18 | |
| 19 | |
| 20 | |
| 21 | |
| 22 | |
| 23 | |
| 24 | |
| 25 | |
| 26 | |
| 27 | |
| 28 | |
| 29 | |
| 30 | |
| 32 | |
| 35 | |
| 36 | |
| 38 | |
| 39 | |
| 40 | |
| 42 | |
| 43 | |
| 44 | |
| 45 | |
| 48 | |
| 50 | |
| 54 | |
| 55 | |
| 56 | |
| 59 | |
| 60 | |
| 63 | |
| 65 | |
| 68 | |
| 70 | |
| 75 | |
| 78 | |
| 80 | |
| 85 | |
| 90 | |
| 95 | |
| 98 | |
| 99 | |
| 100 | |
| 105 | |
| 108 | |
| 110 | |
| 115 | |
| 120 | |
| 125 | |
| 128 | |
| 130 | |
| 135 | |
| 140 | |
| 145 | |
| 150 | |
| 155 | |
| 160 | |
| 165 | |
| 170 | |
| 171 | |
| 180 | |
| 185 | |
| 190 | |
| 195 | |
| 200 | |
| 208 | |
| 210 | |
| 215 | |
| 220 | |
| 225 | |
| 230 | |
| 240 | |
| 250 | |
| 260 | |
| 270 | |
| 271 | |
| 280 | |
| 290 | |
| 300 | |
| 317 | |
| 320 | |
| 340 | |
| 350 | |
| 380 | |
| 390 | |
| 400 | |
| 420 | |
| 430 | |
| 450 | |
| 470 | |
| 480 | |
| 485 | |
| 495 | |
| 500 | |
| 520 | |
| 530 | |
| 540 | |
| 550 | |
| 560 | |
| 570 | |
| 580 | |
| 600 | |
| 605 | |
| 640 | |
| 650 | |
| 680 | |
| 700 | |
| 750 | |
| 760 | |
| 763 | |
| 780 | |
| 800 | |
| 850 | |
| 900 | |
| 920 | |
| 950 | |
| 960 | |
| 980 | |
| 990 | |
| 1000 | |
| 1050 | |
| 1080 | |
| 1100 | |
| 1120 | |
| 1150 | |
| 1155 | |
| 1200 | |
| 1250 | |
| 1260 | |
| 1280 | |
| 1300 | |
| 1310 | |
| 1350 | |
| 1375 | |
| 1400 | |
| 1450 | |
| 1500 | |
| 1540 | |
| 1550 | |
| 1560 | |
| 1580 | |
| 1600 | |
| 1650 | |
| 1700 | |
| 1750 | |
| 1780 | |
| 1800 | |
| 1820 | |
| 1850 | |
| 1900 | |
| 1950 | |
| 2000 | |
| 2015 | |
| 2050 | |
| 2100 | |
| 2150 | |
| 2180 | |
| 2200 | |
| 2250 | |
| 2295 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2550 | |
| 2600 | |
| 2650 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 2850 | |
| 2900 | |
| 2950 | |
| 3000 | |
| 3100 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3350 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3750 | |
| 3786 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4100 | |
| 4200 | |
| 4250 | |
| 4300 | |
| 4500 | |
| 4600 | |
| 4750 | |
| 4800 | |
| 4900 | |
| 4950 | |
| 5000 | |
| 5200 | |
| 5300 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 5900 | |
| 6000 | |
| 6400 | |
| 6500 | |
| 6600 | |
| 6800 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8500 | |
| 8600 | |
| 8800 | |
| 9000 | |
| 9500 | |
| 10000 | |
| 10500 | |
| 11000 | |
| 11500 | |
| 12000 | |
| 12400 | |
| 13000 | |
| 14000 | |
| 14500 | |
| 15000 | |
| 16000 | |
| 17000 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 22000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 35000 | |
| 36000 | |
| 40000 | |
| 40500 | |
| 43000 | |
| 45000 | |
| 47000 | |
| 48000 | |
| 50000 | |
| 53000 | |
| 55000 | |
| 58000 | |
| 60000 | |
| 60900 | |
| 65000 | |
| 68000 | |
| 70000 | |
| 75000 | |
| 75500 | |
| 78000 | |
| 80000 | |
| 84000 | |
| 85000 | |
| 90000 | |
| 95000 | |
| 98000 | |
| 100000 | |
| 108000 | |
| 110000 | |
| 115000 | |
| 120000 | |
| 125000 | |
| 130000 | |
| 140000 | |
| 150000 | |
| 160000 | |
| 165000 | |
| 170000 | |
| 180000 | |
| 185000 | |
| 190000 | |
| 200000 | |
| 210000 | |
| 220000 | |
| 230000 | |
| 240000 | |
| 250000 | |
| 260000 | |
| 280000 | |
| 290000 | |
| 300000 | |
| 350000 | |
| 360000 | |
| 370000 | |
| 400000 | |
| 408000 | |
| 440000 | |
| 450000 | |
| 500000 | |
| 520000 | |
| 550000 | |
| 600000 | |
| 680000 | |
| 700000 | |
| 750000 | |
| 800000 | |
| 850000 | |
| 900000 | |
| 950000 | |
| 1000000 | |
| 1200000 | |
| 1300000 | |
| 1500000 | |
| 2000000 | |
| 2450000 | |
| 2500000 | |
| 3000000 | |
| 3850000 | |
| 5000000 | |
| 5200000 | |
| 10000000 | |
| 20000000 | |
| 50000000 | |
| 60000000 | |
| 116000000 | |
| 200000000 | |
| 1200000000 | |
| 2000000000 | |
| 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.