Harmonised Nigeria Living Standards Survey 2009
Nigeria, 2008 - 2009
Get Microdata
Reference ID
NGA_2009_HNLSS_v01_M
Producer(s)
National Bureau of Statistics (NBS)
Created on
Mar 13, 2015
Last modified
Mar 29, 2019
Page views
135594
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- Data files
-
Section 1-5
Individual-level -
Section 3B-B2
Bed net
information -
Section 6-8-9
Household
characteristics -
Section 7
Household
assets -
Section 11A-A1
Agricultural
assets-land -
Section 11A-A2
Agricultural
assets-livestock -
Section 11A-A3
Agricultural
assets-equipment -
Section 11B
Plot details -
Section 11C-C1
Agric Harvest
cash -
Section 11C-C2
Agric Harvest
Subsistence -
Section 11D
Seasonality of
sales and
purchases -
Section 11E
Other
agricultural
income -
Section 11F-F1
Agricultural
costs and
expenses -
Section 11F-F2
Livestok and
fishing costs -
Section 11G
Processing of
agricultural
produce -
Section 11H Own
food produce -
Section 12A
Food expenses -
Section 12B1
Nonfood freq
purchased -
Section 12B2
Nonfood less
freq purchased -
Section 13A
Basic
enterprises
characteristics -
Section 13B-B1
Expenditures-first
enterprise
operating -
Section 13B-B1
Expenditures-second
enterprise
operating -
Section 13B-B2
Expenditures-first
enterprise not
operating -
Section 13B-B2
Expenditures-second
enterprise not
operating -
Section 13C-C1
Assets-first
enterprise
operating -
Section 13C-C2
Assets-second
enterprise
operating -
Section 13D1
Enterprise
operating last
two weeks -
Section 13D2
Enterprise not
operating last
two weeks -
Section 13E Net
income
first-second
enterprise
operating -
Section 14A
Credit denied -
Section 14A
Credit received -
Section 14A
House ownership -
Section 14B
Savings -
Section 15A
Income transfer
made out -
Section 15B
Income transfer
received -
Section 15C
Income
miscellaneous
income received -
Section 15D
Income
miscellaneous
income
outgoings -
Section 15E
Income
miscellaneous
income
outgoings -
Table 0 Date of
interview - Weights
- Weights-73K
- Z-Calories file
-
Z-Durable goods
deflators -
NGA_10_E-padq
final
Educational expenses - Other expenses (excluding insurance) cash and in kind (s2aq14h)
Data file: Section 1-5 Individual-level
Overview
Valid:
331065
Invalid:
1840
Minimum:
0
Maximum:
99000
Type:
Discrete
Decimal:
0
Start:
167
End:
171
Width:
5
Range:
-
Format:
Questions and instructions
Question pretext
I want to ask you about the educational expenses for [NAME] during the past 12 months.
Literal question
How much did [NAME] spend on expenses (excluding insurance) cash and in kind ?
Categories
| Value | Category |
|---|---|
| 0 | |
| 2 | |
| 3 | |
| 4 | |
| 5 | |
| 6 | |
| 7 | |
| 8 | |
| 9 | |
| 10 | |
| 20 | |
| 23 | |
| 30 | |
| 50 | |
| 51 | |
| 56 | |
| 60 | |
| 69 | |
| 70 | |
| 80 | |
| 90 | |
| 100 | |
| 101 | |
| 106 | |
| 110 | |
| 115 | |
| 120 | |
| 130 | |
| 140 | |
| 144 | |
| 150 | |
| 156 | |
| 160 | |
| 166 | |
| 170 | |
| 180 | |
| 190 | |
| 200 | |
| 206 | |
| 210 | |
| 250 | |
| 256 | |
| 260 | |
| 266 | |
| 270 | |
| 290 | |
| 300 | |
| 306 | |
| 320 | |
| 330 | |
| 350 | |
| 356 | |
| 360 | |
| 366 | |
| 380 | |
| 400 | |
| 406 | |
| 450 | |
| 460 | |
| 466 | |
| 480 | |
| 500 | |
| 501 | |
| 506 | |
| 510 | |
| 550 | |
| 560 | |
| 566 | |
| 580 | |
| 600 | |
| 620 | |
| 650 | |
| 660 | |
| 666 | |
| 690 | |
| 700 | |
| 706 | |
| 709 | |
| 710 | |
| 750 | |
| 760 | |
| 770 | |
| 800 | |
| 830 | |
| 840 | |
| 850 | |
| 870 | |
| 900 | |
| 930 | |
| 950 | |
| 1000 | |
| 1001 | |
| 1006 | |
| 1009 | |
| 1060 | |
| 1066 | |
| 1100 | |
| 1106 | |
| 1150 | |
| 1160 | |
| 1200 | |
| 1206 | |
| 1260 | |
| 1300 | |
| 1400 | |
| 1440 | |
| 1460 | |
| 1500 | |
| 1506 | |
| 1516 | |
| 1560 | |
| 1563 | |
| 1566 | |
| 1600 | |
| 1601 | |
| 1603 | |
| 1606 | |
| 1660 | |
| 1700 | |
| 1800 | |
| 1890 | |
| 1900 | |
| 1906 | |
| 2000 | |
| 2006 | |
| 2060 | |
| 2066 | |
| 2100 | |
| 2200 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2606 | |
| 2666 | |
| 2750 | |
| 2800 | |
| 2940 | |
| 3000 | |
| 3006 | |
| 3067 | |
| 3090 | |
| 3100 | |
| 3111 | |
| 3160 | |
| 3300 | |
| 3400 | |
| 3500 | |
| 3566 | |
| 3600 | |
| 3606 | |
| 3666 | |
| 3700 | |
| 3860 | |
| 4000 | |
| 4006 | |
| 4200 | |
| 4250 | |
| 4300 | |
| 4466 | |
| 4500 | |
| 4560 | |
| 4600 | |
| 4800 | |
| 4900 | |
| 4979 | |
| 5000 | |
| 5006 | |
| 5060 | |
| 5066 | |
| 5200 | |
| 5500 | |
| 5600 | |
| 5650 | |
| 5760 | |
| 5800 | |
| 5960 | |
| 6000 | |
| 6050 | |
| 6060 | |
| 6500 | |
| 6600 | |
| 7000 | |
| 7500 | |
| 7600 | |
| 8000 | |
| 8010 | |
| 8500 | |
| 8550 | |
| 8606 | |
| 9000 | |
| 9060 | |
| 9096 | |
| 9500 | |
| 9600 | |
| 10000 | |
| 10006 | |
| 10060 | |
| 10560 | |
| 10660 | |
| 11000 | |
| 11060 | |
| 11200 | |
| 11660 | |
| 12000 | |
| 12500 | |
| 13000 | |
| 13333 | |
| 14000 | |
| 15000 | |
| 15090 | |
| 16000 | |
| 16006 | |
| 16500 | |
| 17000 | |
| 17900 | |
| 18000 | |
| 18500 | |
| 18660 | |
| 20000 | |
| 20500 | |
| 22200 | |
| 23000 | |
| 25000 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 31000 | |
| 33111 | |
| 33113 | |
| 33131 | |
| 33311 | |
| 33312 | |
| 33331 | |
| 33333 | |
| 33334 | |
| 33341 | |
| 33413 | |
| 40000 | |
| 40060 | |
| 45000 | |
| 46000 | |
| 46800 | |
| 50000 | |
| 55000 | |
| 56000 | |
| 56100 | |
| 60000 | |
| 68000 | |
| 70000 | |
| 75000 | |
| 80000 | |
| 89000 | |
| 90000 | |
| 99000 | |
| 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.