Integrated Household Survey 2011
Sierra Leone, 2011
Get Microdata
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
223652
Downloads
6117
- 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
School uniforms (edunifms)
Data file: SLE_11_E
Overview
Valid:
6727
Invalid:
0
Minimum:
0
Maximum:
9545000
Type:
Discrete
Decimal:
0
Start:
552
End:
558
Width:
7
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | |
| 2000 | |
| 3000 | |
| 4000 | |
| 5000 | |
| 6000 | |
| 7000 | |
| 8000 | |
| 9000 | |
| 9500 | |
| 10000 | |
| 10500 | |
| 11000 | |
| 12000 | |
| 13000 | |
| 13200 | |
| 13500 | |
| 13600 | |
| 14000 | |
| 15000 | |
| 15500 | |
| 16000 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 19000 | |
| 19900 | |
| 20000 | |
| 20800 | |
| 21000 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 25500 | |
| 26000 | |
| 26080 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 28500 | |
| 29000 | |
| 30000 | |
| 30080 | |
| 30900 | |
| 31000 | |
| 31500 | |
| 31900 | |
| 32000 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 35200 | |
| 35500 | |
| 35900 | |
| 36000 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 38500 | |
| 39000 | |
| 40000 | |
| 41000 | |
| 42000 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 45500 | |
| 46000 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 50008 | |
| 50400 | |
| 50500 | |
| 51000 | |
| 52000 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 57300 | |
| 58000 | |
| 59000 | |
| 59600 | |
| 60000 | |
| 60500 | |
| 61000 | |
| 61500 | |
| 61800 | |
| 62000 | |
| 62500 | |
| 62600 | |
| 63000 | |
| 64000 | |
| 65000 | |
| 66000 | |
| 67000 | |
| 67500 | |
| 68000 | |
| 69000 | |
| 70000 | |
| 71000 | |
| 72000 | |
| 73000 | |
| 74000 | |
| 75000 | |
| 76000 | |
| 77000 | |
| 78000 | |
| 79000 | |
| 79500 | |
| 80000 | |
| 81000 | |
| 82000 | |
| 84000 | |
| 85000 | |
| 86000 | |
| 86500 | |
| 87000 | |
| 87500 | |
| 88000 | |
| 89000 | |
| 90000 | |
| 91000 | |
| 92000 | |
| 93000 | |
| 94000 | |
| 95000 | |
| 95800 | |
| 96000 | |
| 97000 | |
| 98000 | |
| 99000 | |
| 100000 | |
| 101000 | |
| 102000 | |
| 104000 | |
| 105000 | |
| 107000 | |
| 108000 | |
| 109000 | |
| 110000 | |
| 111000 | |
| 112000 | |
| 113000 | |
| 114000 | |
| 115000 | |
| 116000 | |
| 117000 | |
| 118000 | |
| 119000 | |
| 119500 | |
| 120000 | |
| 121000 | |
| 121500 | |
| 122000 | |
| 123000 | |
| 125000 | |
| 126000 | |
| 128000 | |
| 129000 | |
| 130000 | |
| 130800 | |
| 131000 | |
| 131500 | |
| 132000 | |
| 133000 | |
| 134000 | |
| 135000 | |
| 136000 | |
| 137000 | |
| 138000 | |
| 140000 | |
| 140600 | |
| 140800 | |
| 141600 | |
| 143000 | |
| 144000 | |
| 145000 | |
| 146000 | |
| 147000 | |
| 149000 | |
| 150000 | |
| 154000 | |
| 155000 | |
| 156000 | |
| 160000 | |
| 160600 | |
| 160800 | |
| 161000 | |
| 165000 | |
| 167000 | |
| 168000 | |
| 170000 | |
| 171000 | |
| 174000 | |
| 175000 | |
| 176000 | |
| 177000 | |
| 178000 | |
| 179000 | |
| 180000 | |
| 180002 | |
| 182000 | |
| 183000 | |
| 185000 | |
| 187000 | |
| 188000 | |
| 189000 | |
| 190000 | |
| 190900 | |
| 191000 | |
| 194000 | |
| 195000 | |
| 198000 | |
| 200000 | |
| 201000 | |
| 202000 | |
| 203000 | |
| 205000 | |
| 208000 | |
| 208006 | |
| 209000 | |
| 210000 | |
| 211000 | |
| 213000 | |
| 218000 | |
| 219000 | |
| 220000 | |
| 222000 | |
| 225000 | |
| 226500 | |
| 230000 | |
| 236000 | |
| 236500 | |
| 237000 | |
| 238000 | |
| 240000 | |
| 242000 | |
| 243000 | |
| 244000 | |
| 245000 | |
| 250000 | |
| 251000 | |
| 252000 | |
| 253000 | |
| 255000 | |
| 256000 | |
| 258000 | |
| 260000 | |
| 260200 | |
| 261300 | |
| 265000 | |
| 266000 | |
| 267000 | |
| 268000 | |
| 270000 | |
| 271000 | |
| 273000 | |
| 274000 | |
| 275000 | |
| 276000 | |
| 280000 | |
| 285000 | |
| 286000 | |
| 290000 | |
| 295000 | |
| 296000 | |
| 300000 | |
| 303000 | |
| 305000 | |
| 310000 | |
| 312000 | |
| 320000 | |
| 324000 | |
| 325000 | |
| 326000 | |
| 330000 | |
| 332000 | |
| 335000 | |
| 340000 | |
| 344000 | |
| 345000 | |
| 350000 | |
| 350500 | |
| 353000 | |
| 355000 | |
| 357500 | |
| 360000 | |
| 365000 | |
| 370000 | |
| 381000 | |
| 382000 | |
| 390000 | |
| 396000 | |
| 400000 | |
| 402000 | |
| 409000 | |
| 410000 | |
| 413000 | |
| 430000 | |
| 438000 | |
| 444000 | |
| 450800 | |
| 458000 | |
| 460000 | |
| 491000 | |
| 518000 | |
| 532000 | |
| 547000 | |
| 550000 | |
| 560000 | |
| 590000 | |
| 595000 | |
| 620000 | |
| 630000 | |
| 634000 | |
| 681000 | |
| 700000 | |
| 758000 | |
| 800000 | |
| 845000 | |
| 850000 | |
| 861000 | |
| 875000 | |
| 950000 | |
| 975000 | |
| 992000 | |
| 1045000 | |
| 1235000 | |
| 2121000 | |
| 9545000 |
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.