Integrated Household Survey 2011
Sierra Leone, 2011
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Reference ID
SLE_2011_SLIHS_v01_M
Producer(s)
Statistics Sierra Leone (SSL)
Metadata
Created on
Sep 05, 2014
Last modified
Mar 29, 2019
Page views
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- Data files
-
Household
Cluster Weights -
Part A Date of
interview -
Part B Date of
interview -
Section 1-5
Individual-level -
Section 6 Part
A-H2 and I
Housing and
amenities -
Section 6 Part
H Malaria
bednet -
Section 7
Ownership of
durable assets -
Section 8 Crime
and Security -
Section 9
Subjective
poverty -
Section 10 Part
A Income -
Section 10 Part
B Assets -
Section 10 Part
C Displacement -
Section 12 Part
A-A1
Agricultural
assets-Land -
Section 12 Part
A-A2
Agricultural
assets-Animals -
Section 12 Part
A-A3
Agricultural
assets-Equipment -
Section 12 Part
B Plot details -
Section 12 Part
C-C1
Harvest-disposal
crops-grains -
Section 12 Part
C-C2
Harvest-disposal
fruits-crops -
Section 12 Part
D Seasonality
sales-purchases -
Section 12 Part
E Other
agricultural
income -
Section 12 Part
F-F1
Agricultural
costs-crops -
Section 12 Part
F-F2
Agricultural
costs-livestock -
Section 12 Part
G Processing of
agricultural
produce -
Section 12 Part
H Own food
consumption -
Section 12 Part
H Own food
consumption-interview
dates -
Section 13 Part
A Food
purchases -
Section 13 Part
A Food
purchases-interview
dates -
Section 13 Part
B-B1 NonFood
freq purchases -
Section 13 Part
B-B1 NonFood
freq
purchases-interview
dates -
Section 13 Part
B-B2 NonFood
infreq
purchases -
Section 13 Part
B-B2 NonFood
infreq
purchases-interview
dates -
Section 14 Part
A-A1 Loans
received -
Section 14 Part
A-A2 Loans
denied -
Section 14 Part
B Savings -
Section 15 Part
A Income
transfers out -
Section 15 Part
B Income
transfers
received -
Section 15 Part
C Income
miscellaneous
received -
Section 15 Part
D Income
miscellaneous
outgoings -
Section 16 Part
A Basic
enterprises
characteristics -
Section 16 Part
B-B1
Expenditures-first
enterprise
operating -
Section 16 Part
B-B1
Expenditures-second
enterprise
operating -
Section 16 Part
B-B2
Expenditures-first
enterprise not
operating -
Section 16 Part
B-B2
Expenditures-second
enterprise not
operating -
Section 16 Part
C-C1
Assets-first
enterprise
operating -
Section 16 Part
C-C2
Assets-second
enterprise
operating -
Section 16 Part
D-D1 Revenue
first-second
enterprise
operating -
Section 16 Part
D-D2 Revenue
first-second
enterprise not
operating -
Section 16 Part
E Net income
first-second
enterprise
operating - SLE_11_E
How much was purchased of [ITEM] last 12 months? (s13b2q4)
Data file: Section 13 Part B-B2 NonFood infreq purchases
Overview
Valid:
81105
Invalid:
603978
Minimum:
0
Maximum:
150000000
Type:
Discrete
Decimal:
0
Start:
50
End:
58
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
How much was purchased of [ITEM] in the last 12 months altogether?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 2 | |
| 3 | |
| 4 | |
| 5 | |
| 6 | |
| 7 | |
| 8 | |
| 9 | |
| 10 | |
| 12 | |
| 14 | |
| 15 | |
| 16 | |
| 18 | |
| 19 | |
| 20 | |
| 21 | |
| 22 | |
| 24 | |
| 25 | |
| 28 | |
| 30 | |
| 32 | |
| 35 | |
| 36 | |
| 40 | |
| 43 | |
| 45 | |
| 48 | |
| 50 | |
| 55 | |
| 58 | |
| 60 | |
| 65 | |
| 68 | |
| 70 | |
| 75 | |
| 85 | |
| 90 | |
| 91 | |
| 114 | |
| 120 | |
| 128 | |
| 140 | |
| 144 | |
| 150 | |
| 160 | |
| 195 | |
| 200 | |
| 225 | |
| 250 | |
| 280 | |
| 300 | |
| 360 | |
| 500 | |
| 600 | |
| 700 | |
| 800 | |
| 900 | |
| 1000 | |
| 1200 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1800 | |
| 2000 | |
| 2100 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3200 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 4000 | |
| 4200 | |
| 4300 | |
| 4400 | |
| 4500 | |
| 4700 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5700 | |
| 6000 | |
| 6500 | |
| 6600 | |
| 6800 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 8400 | |
| 8500 | |
| 9000 | |
| 9500 | |
| 10000 | |
| 10500 | |
| 10800 | |
| 11000 | |
| 11500 | |
| 11800 | |
| 12000 | |
| 12500 | |
| 13000 | |
| 13200 | |
| 13500 | |
| 14000 | |
| 14020 | |
| 14500 | |
| 15000 | |
| 15200 | |
| 15500 | |
| 15800 | |
| 16000 | |
| 16400 | |
| 16500 | |
| 16900 | |
| 17000 | |
| 17500 | |
| 17600 | |
| 18000 | |
| 18500 | |
| 18600 | |
| 19000 | |
| 19500 | |
| 20000 | |
| 20500 | |
| 20900 | |
| 21000 | |
| 21500 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 24000 | |
| 24200 | |
| 24500 | |
| 25000 | |
| 25500 | |
| 26000 | |
| 26500 | |
| 26800 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 28999 | |
| 29000 | |
| 29500 | |
| 29800 | |
| 30000 | |
| 30500 | |
| 30800 | |
| 31000 | |
| 31500 | |
| 32000 | |
| 32500 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 35200 | |
| 35500 | |
| 35800 | |
| 36000 | |
| 36500 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 38500 | |
| 38600 | |
| 39000 | |
| 39400 | |
| 39500 | |
| 40000 | |
| 40500 | |
| 41000 | |
| 41500 | |
| 42000 | |
| 42400 | |
| 42500 | |
| 43000 | |
| 43500 | |
| 43600 | |
| 44000 | |
| 44600 | |
| 45000 | |
| 45100 | |
| 46000 | |
| 47000 | |
| 47500 | |
| 48000 | |
| 48500 | |
| 49000 | |
| 49500 | |
| 50000 | |
| 51000 | |
| 51500 | |
| 52000 | |
| 52500 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 56400 | |
| 56500 | |
| 57000 | |
| 58000 | |
| 58500 | |
| 59000 | |
| 59500 | |
| 60000 | |
| 61000 | |
| 61400 | |
| 62000 | |
| 62400 | |
| 63000 | |
| 63500 | |
| 64000 | |
| 64500 | |
| 64800 | |
| 65000 | |
| 66000 | |
| 66400 | |
| 66500 | |
| 66600 | |
| 67000 | |
| 67500 | |
| 68000 | |
| 68400 | |
| 69000 | |
| 69400 | |
| 70000 | |
| 71000 | |
| 72000 | |
| 72400 | |
| 72500 | |
| 73000 | |
| 74000 | |
| 75000 | |
| 75500 | |
| 76000 | |
| 76500 | |
| 77000 | |
| 78000 | |
| 78500 | |
| 79000 | |
| 80000 | |
| 81000 | |
| 82000 | |
| 83000 | |
| 84000 | |
| 85000 | |
| 86000 | |
| 87000 | |
| 88000 | |
| 89000 | |
| 90000 | |
| 91000 | |
| 92000 | |
| 93000 | |
| 94000 | |
| 95000 | |
| 96000 | |
| 97000 | |
| 97500 | |
| 98000 | |
| 98400 | |
| 100000 | |
| 101000 | |
| 102000 | |
| 103000 | |
| 104000 | |
| 105000 | |
| 106000 | |
| 107000 | |
| 108000 | |
| 109000 | |
| 110000 | |
| 110111 | |
| 110500 | |
| 111000 | |
| 112000 | |
| 113000 | |
| 114000 | |
| 115000 | |
| 116000 | |
| 117000 | |
| 118000 | |
| 119000 | |
| 120000 | |
| 121000 | |
| 122000 | |
| 123000 | |
| 124000 | |
| 125000 | |
| 126000 | |
| 127000 | |
| 128000 | |
| 129000 | |
| 130000 | |
| 131000 | |
| 132000 | |
| 133000 | |
| 134000 | |
| 135000 | |
| 136000 | |
| 138000 | |
| 139000 | |
| 140000 | |
| 142000 | |
| 143000 | |
| 144000 | |
| 145000 | |
| 146000 | |
| 147000 | |
| 148000 | |
| 149000 | |
| 150000 | |
| 155000 | |
| 156000 | |
| 158000 | |
| 160000 | |
| 161000 | |
| 162000 | |
| 164000 | |
| 165000 | |
| 166000 | |
| 167000 | |
| 168000 | |
| 170000 | |
| 170300 | |
| 172000 | |
| 174000 | |
| 175000 | |
| 178000 | |
| 178500 | |
| 180000 | |
| 183000 | |
| 184000 | |
| 185000 | |
| 186000 | |
| 187000 | |
| 188000 | |
| 190000 | |
| 191000 | |
| 192000 | |
| 193000 | |
| 195000 | |
| 198000 | |
| 200000 | |
| 203000 | |
| 205000 | |
| 207000 | |
| 210000 | |
| 214000 | |
| 215000 | |
| 216000 | |
| 220000 | |
| 221000 | |
| 222000 | |
| 224000 | |
| 225000 | |
| 226000 | |
| 227000 | |
| 228000 | |
| 230000 | |
| 234000 | |
| 235000 | |
| 236000 | |
| 237000 | |
| 240000 | |
| 245000 | |
| 247000 | |
| 248000 | |
| 250000 | |
| 252000 | |
| 255000 | |
| 256000 | |
| 257000 | |
| 258000 | |
| 260000 | |
| 265000 | |
| 266000 | |
| 270000 | |
| 275000 | |
| 276000 | |
| 280000 | |
| 285000 | |
| 290000 | |
| 295000 | |
| 300000 | |
| 305000 | |
| 310000 | |
| 315000 | |
| 320000 | |
| 320008 | |
| 330000 | |
| 334000 | |
| 335000 | |
| 336000 | |
| 340000 | |
| 345000 | |
| 350000 | |
| 360000 | |
| 361000 | |
| 365000 | |
| 370000 | |
| 372000 | |
| 375000 | |
| 380000 | |
| 385000 | |
| 387000 | |
| 390000 | |
| 395000 | |
| 400000 | |
| 405000 | |
| 410000 | |
| 413000 | |
| 415000 | |
| 420000 | |
| 425000 | |
| 430000 | |
| 432000 | |
| 440000 | |
| 450000 | |
| 450001 | |
| 460000 | |
| 470000 | |
| 475000 | |
| 480000 | |
| 485000 | |
| 490000 | |
| 495000 | |
| 500000 | |
| 500008 | |
| 510000 | |
| 520000 | |
| 530000 | |
| 535000 | |
| 540000 | |
| 550000 | |
| 552000 | |
| 560000 | |
| 570000 | |
| 580000 | |
| 600000 | |
| 605000 | |
| 625000 | |
| 630000 | |
| 634000 | |
| 638000 | |
| 640000 | |
| 650000 | |
| 660000 | |
| 670000 | |
| 680000 | |
| 700000 | |
| 730000 | |
| 745000 | |
| 750000 | |
| 760000 | |
| 800000 | |
| 820000 | |
| 825000 | |
| 850000 | |
| 860000 | |
| 900000 | |
| 920000 | |
| 950000 | |
| 960000 | |
| 970000 | |
| 990000 | |
| 1000000 | |
| 1100000 | |
| 1150000 | |
| 1200000 | |
| 1200003 | |
| 1228000 | |
| 1300000 | |
| 1400000 | |
| 1450000 | |
| 1500000 | |
| 1540000 | |
| 1600000 | |
| 1700000 | |
| 1750000 | |
| 1770000 | |
| 1800000 | |
| 1890000 | |
| 1900000 | |
| 2000000 | |
| 2100000 | |
| 2200000 | |
| 2300000 | |
| 2400000 | |
| 2500000 | |
| 2600000 | |
| 2800000 | |
| 3000000 | |
| 3370000 | |
| 3500000 | |
| 3700000 | |
| 4000000 | |
| 4500000 | |
| 4600000 | |
| 5000000 | |
| 5500000 | |
| 6000000 | |
| 7500000 | |
| 8000000 | |
| 10000000 | |
| 11000000 | |
| 12000000 | |
| 13000000 | |
| 15000000 | |
| 18000000 | |
| 20000000 | |
| 30000000 | |
| 50000000 | |
| 100010000 | |
| 150000000 | |
| 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.