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
115359
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12704
- 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
What were [HOLDER]’s total labour costs both in CASH and IN KIND in the last 2 w (s11gq7)
Data file: Section 11G Processing of agricultural produce
Overview
Valid:
10255
Invalid:
33525
Minimum:
0
Maximum:
825000
Type:
Discrete
Decimal:
0
Start:
78
End:
83
Width:
6
Range:
-
Format:
Questions and instructions
Literal question
What were your labour costs both in cash and in kind in the last 2 weeks?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 2 | |
| 3 | |
| 5 | |
| 6 | |
| 7 | |
| 8 | |
| 9 | |
| 10 | |
| 12 | |
| 16 | |
| 20 | |
| 28 | |
| 30 | |
| 40 | |
| 50 | |
| 60 | |
| 70 | |
| 80 | |
| 90 | |
| 100 | |
| 105 | |
| 110 | |
| 115 | |
| 120 | |
| 125 | |
| 130 | |
| 140 | |
| 145 | |
| 150 | |
| 160 | |
| 170 | |
| 175 | |
| 180 | |
| 190 | |
| 195 | |
| 200 | |
| 210 | |
| 220 | |
| 230 | |
| 240 | |
| 250 | |
| 260 | |
| 270 | |
| 280 | |
| 290 | |
| 300 | |
| 310 | |
| 320 | |
| 330 | |
| 340 | |
| 350 | |
| 360 | |
| 370 | |
| 380 | |
| 390 | |
| 400 | |
| 410 | |
| 420 | |
| 430 | |
| 440 | |
| 450 | |
| 460 | |
| 470 | |
| 480 | |
| 490 | |
| 500 | |
| 510 | |
| 520 | |
| 530 | |
| 540 | |
| 550 | |
| 560 | |
| 600 | |
| 620 | |
| 625 | |
| 630 | |
| 640 | |
| 650 | |
| 670 | |
| 680 | |
| 700 | |
| 710 | |
| 720 | |
| 730 | |
| 750 | |
| 770 | |
| 780 | |
| 800 | |
| 810 | |
| 820 | |
| 840 | |
| 850 | |
| 880 | |
| 900 | |
| 910 | |
| 950 | |
| 960 | |
| 980 | |
| 1000 | |
| 1050 | |
| 1100 | |
| 1150 | |
| 1160 | |
| 1180 | |
| 1200 | |
| 1220 | |
| 1250 | |
| 1260 | |
| 1280 | |
| 1300 | |
| 1350 | |
| 1380 | |
| 1400 | |
| 1410 | |
| 1450 | |
| 1480 | |
| 1500 | |
| 1503 | |
| 1512 | |
| 1550 | |
| 1560 | |
| 1580 | |
| 1600 | |
| 1620 | |
| 1650 | |
| 1680 | |
| 1700 | |
| 1736 | |
| 1750 | |
| 1760 | |
| 1792 | |
| 1800 | |
| 1820 | |
| 1850 | |
| 1890 | |
| 1900 | |
| 1920 | |
| 1960 | |
| 2000 | |
| 2016 | |
| 2100 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2310 | |
| 2320 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 2850 | |
| 2940 | |
| 3000 | |
| 3100 | |
| 3200 | |
| 3300 | |
| 3350 | |
| 3360 | |
| 3400 | |
| 3450 | |
| 3500 | |
| 3600 | |
| 3650 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4200 | |
| 4500 | |
| 4700 | |
| 4750 | |
| 4800 | |
| 5000 | |
| 5100 | |
| 5200 | |
| 5225 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 5880 | |
| 6000 | |
| 6300 | |
| 6360 | |
| 6400 | |
| 6500 | |
| 6800 | |
| 7000 | |
| 7200 | |
| 7350 | |
| 7500 | |
| 7563 | |
| 7800 | |
| 8000 | |
| 8400 | |
| 8800 | |
| 9000 | |
| 9125 | |
| 9500 | |
| 9600 | |
| 10000 | |
| 10200 | |
| 10500 | |
| 11000 | |
| 11250 | |
| 12000 | |
| 12500 | |
| 12600 | |
| 13000 | |
| 14000 | |
| 14280 | |
| 14400 | |
| 14500 | |
| 15000 | |
| 15500 | |
| 16000 | |
| 17000 | |
| 17500 | |
| 17600 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 21250 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 27000 | |
| 28000 | |
| 30000 | |
| 32000 | |
| 33000 | |
| 35000 | |
| 35200 | |
| 36000 | |
| 40000 | |
| 42000 | |
| 45000 | |
| 50000 | |
| 52000 | |
| 53900 | |
| 56000 | |
| 60000 | |
| 63000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 80000 | |
| 100000 | |
| 105000 | |
| 160000 | |
| 180000 | |
| 200000 | |
| 250000 | |
| 280000 | |
| 300000 | |
| 315000 | |
| 560000 | |
| 600000 | |
| 825000 | |
| 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.