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
114774
Downloads
12703
- 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 - Food, board andd lodging at school (s2aq14f)
Data file: Section 1-5 Individual-level
Overview
Valid:
331065
Invalid:
1840
Minimum:
0
Maximum:
99999
Type:
Discrete
Decimal:
0
Start:
156
End:
160
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 food, board andd lodging at school ?
Categories
| Value | Category |
|---|---|
| 0 | |
| 2 | |
| 3 | |
| 4 | |
| 5 | |
| 6 | |
| 7 | |
| 8 | |
| 9 | |
| 10 | |
| 16 | |
| 20 | |
| 24 | |
| 25 | |
| 26 | |
| 30 | |
| 40 | |
| 50 | |
| 53 | |
| 54 | |
| 60 | |
| 63 | |
| 70 | |
| 80 | |
| 84 | |
| 90 | |
| 99 | |
| 100 | |
| 106 | |
| 120 | |
| 130 | |
| 140 | |
| 150 | |
| 156 | |
| 160 | |
| 161 | |
| 166 | |
| 170 | |
| 186 | |
| 200 | |
| 206 | |
| 220 | |
| 230 | |
| 240 | |
| 250 | |
| 270 | |
| 300 | |
| 306 | |
| 320 | |
| 350 | |
| 355 | |
| 360 | |
| 366 | |
| 370 | |
| 380 | |
| 400 | |
| 406 | |
| 416 | |
| 450 | |
| 466 | |
| 500 | |
| 503 | |
| 505 | |
| 507 | |
| 520 | |
| 540 | |
| 550 | |
| 560 | |
| 600 | |
| 606 | |
| 650 | |
| 660 | |
| 700 | |
| 730 | |
| 750 | |
| 760 | |
| 800 | |
| 803 | |
| 820 | |
| 900 | |
| 920 | |
| 950 | |
| 960 | |
| 1000 | |
| 1001 | |
| 1002 | |
| 1006 | |
| 1009 | |
| 1011 | |
| 1060 | |
| 1064 | |
| 1066 | |
| 1096 | |
| 1100 | |
| 1115 | |
| 1120 | |
| 1200 | |
| 1250 | |
| 1266 | |
| 1300 | |
| 1366 | |
| 1400 | |
| 1500 | |
| 1506 | |
| 1546 | |
| 1560 | |
| 1566 | |
| 1600 | |
| 1603 | |
| 1606 | |
| 1660 | |
| 1661 | |
| 1666 | |
| 1668 | |
| 1680 | |
| 1696 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1806 | |
| 1850 | |
| 1866 | |
| 1900 | |
| 1920 | |
| 1950 | |
| 2000 | |
| 2001 | |
| 2006 | |
| 2060 | |
| 2080 | |
| 2100 | |
| 2110 | |
| 2120 | |
| 2160 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2400 | |
| 2450 | |
| 2500 | |
| 2600 | |
| 2606 | |
| 2630 | |
| 2650 | |
| 2660 | |
| 2700 | |
| 2720 | |
| 2750 | |
| 2800 | |
| 2850 | |
| 2900 | |
| 3000 | |
| 3001 | |
| 3003 | |
| 3006 | |
| 3060 | |
| 3080 | |
| 3120 | |
| 3200 | |
| 3220 | |
| 3300 | |
| 3400 | |
| 3420 | |
| 3500 | |
| 3506 | |
| 3600 | |
| 3606 | |
| 3616 | |
| 3650 | |
| 3656 | |
| 3660 | |
| 3666 | |
| 3668 | |
| 3690 | |
| 3700 | |
| 3750 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4006 | |
| 4050 | |
| 4060 | |
| 4200 | |
| 4320 | |
| 4400 | |
| 4406 | |
| 4500 | |
| 4506 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 4806 | |
| 4809 | |
| 4900 | |
| 5000 | |
| 5001 | |
| 5006 | |
| 5050 | |
| 5060 | |
| 5066 | |
| 5080 | |
| 5100 | |
| 5200 | |
| 5300 | |
| 5360 | |
| 5380 | |
| 5400 | |
| 5406 | |
| 5420 | |
| 5450 | |
| 5490 | |
| 5500 | |
| 5550 | |
| 5600 | |
| 5666 | |
| 5800 | |
| 5900 | |
| 5990 | |
| 6000 | |
| 6050 | |
| 6060 | |
| 6066 | |
| 6106 | |
| 6200 | |
| 6210 | |
| 6260 | |
| 6400 | |
| 6500 | |
| 6560 | |
| 6600 | |
| 6660 | |
| 6700 | |
| 6800 | |
| 6860 | |
| 6880 | |
| 7000 | |
| 7100 | |
| 7200 | |
| 7206 | |
| 7260 | |
| 7300 | |
| 7400 | |
| 7500 | |
| 7600 | |
| 7800 | |
| 7850 | |
| 7900 | |
| 7920 | |
| 7960 | |
| 8000 | |
| 8006 | |
| 8066 | |
| 8070 | |
| 8100 | |
| 8200 | |
| 8400 | |
| 8500 | |
| 8700 | |
| 8750 | |
| 8800 | |
| 8883 | |
| 8900 | |
| 8960 | |
| 9000 | |
| 9007 | |
| 9060 | |
| 9068 | |
| 9200 | |
| 9250 | |
| 9500 | |
| 9600 | |
| 9666 | |
| 9806 | |
| 9866 | |
| 9900 | |
| 10000 | |
| 10006 | |
| 10008 | |
| 10060 | |
| 10250 | |
| 10300 | |
| 10500 | |
| 10560 | |
| 10600 | |
| 10660 | |
| 10800 | |
| 11000 | |
| 11060 | |
| 11066 | |
| 11300 | |
| 11406 | |
| 11500 | |
| 11509 | |
| 11520 | |
| 11600 | |
| 11966 | |
| 12000 | |
| 12006 | |
| 12066 | |
| 12500 | |
| 12600 | |
| 12650 | |
| 13000 | |
| 13100 | |
| 13200 | |
| 13500 | |
| 13560 | |
| 14000 | |
| 14320 | |
| 14400 | |
| 14480 | |
| 14600 | |
| 15000 | |
| 15001 | |
| 15006 | |
| 15060 | |
| 15600 | |
| 15606 | |
| 15840 | |
| 16000 | |
| 16006 | |
| 16500 | |
| 16666 | |
| 16866 | |
| 17000 | |
| 17006 | |
| 17050 | |
| 17500 | |
| 18000 | |
| 18480 | |
| 18500 | |
| 18600 | |
| 18666 | |
| 18700 | |
| 19000 | |
| 19006 | |
| 19500 | |
| 19580 | |
| 19800 | |
| 19880 | |
| 19999 | |
| 20000 | |
| 20008 | |
| 20020 | |
| 20060 | |
| 20061 | |
| 20160 | |
| 20250 | |
| 20660 | |
| 21000 | |
| 21008 | |
| 21120 | |
| 22000 | |
| 22500 | |
| 22600 | |
| 23000 | |
| 23040 | |
| 23510 | |
| 24000 | |
| 24006 | |
| 25000 | |
| 25600 | |
| 26000 | |
| 26006 | |
| 26400 | |
| 26600 | |
| 26666 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 28061 | |
| 29660 | |
| 30000 | |
| 30006 | |
| 30066 | |
| 30366 | |
| 30500 | |
| 30660 | |
| 31000 | |
| 31200 | |
| 32000 | |
| 33000 | |
| 33300 | |
| 33800 | |
| 35000 | |
| 35300 | |
| 36000 | |
| 36500 | |
| 36600 | |
| 36666 | |
| 36696 | |
| 37087 | |
| 37500 | |
| 40000 | |
| 40050 | |
| 40066 | |
| 40666 | |
| 41250 | |
| 42000 | |
| 42600 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 45800 | |
| 46000 | |
| 46666 | |
| 47666 | |
| 48000 | |
| 48900 | |
| 49550 | |
| 50000 | |
| 50600 | |
| 50660 | |
| 51000 | |
| 52111 | |
| 53000 | |
| 55000 | |
| 55500 | |
| 56000 | |
| 56200 | |
| 57500 | |
| 60000 | |
| 60060 | |
| 60660 | |
| 60690 | |
| 62000 | |
| 63000 | |
| 64000 | |
| 65000 | |
| 65006 | |
| 65050 | |
| 66000 | |
| 67000 | |
| 69600 | |
| 70000 | |
| 70400 | |
| 70500 | |
| 70600 | |
| 71000 | |
| 71006 | |
| 72000 | |
| 75000 | |
| 75006 | |
| 77799 | |
| 78000 | |
| 80000 | |
| 80005 | |
| 80066 | |
| 80500 | |
| 82000 | |
| 85000 | |
| 86000 | |
| 88000 | |
| 89000 | |
| 90000 | |
| 90630 | |
| 95000 | |
| 99000 | |
| 99299 | |
| 99555 | |
| 99999 | |
| 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.