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
85049
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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
Other miscellaneous income (s15dq5)
Data file: Section 15D Income miscellaneous income outgoings
Overview
Valid:
10373
Invalid:
25020
Minimum:
0
Maximum:
1500000
Type:
Discrete
Decimal:
0
Start:
73
End:
79
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
During the past 12 months, how much income in cash or kind, did household spend on the following sources - other miscellaneous income?
Categories
| Value | Category |
|---|---|
| 0 | |
| 2 | |
| 20 | |
| 30 | |
| 40 | |
| 80 | |
| 100 | |
| 150 | |
| 190 | |
| 200 | |
| 203 | |
| 240 | |
| 250 | |
| 260 | |
| 270 | |
| 300 | |
| 320 | |
| 350 | |
| 370 | |
| 380 | |
| 400 | |
| 410 | |
| 450 | |
| 480 | |
| 490 | |
| 500 | |
| 508 | |
| 520 | |
| 540 | |
| 550 | |
| 570 | |
| 580 | |
| 600 | |
| 620 | |
| 650 | |
| 670 | |
| 680 | |
| 700 | |
| 750 | |
| 760 | |
| 780 | |
| 790 | |
| 800 | |
| 820 | |
| 850 | |
| 860 | |
| 900 | |
| 920 | |
| 930 | |
| 940 | |
| 950 | |
| 1000 | |
| 1050 | |
| 1060 | |
| 1080 | |
| 1100 | |
| 1120 | |
| 1140 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1540 | |
| 1590 | |
| 1600 | |
| 1633 | |
| 1650 | |
| 1700 | |
| 1730 | |
| 1750 | |
| 1800 | |
| 1900 | |
| 1960 | |
| 1980 | |
| 2000 | |
| 2050 | |
| 2080 | |
| 2100 | |
| 2150 | |
| 2170 | |
| 2200 | |
| 2220 | |
| 2300 | |
| 2350 | |
| 2400 | |
| 2500 | |
| 2560 | |
| 2600 | |
| 2620 | |
| 2690 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 2850 | |
| 2900 | |
| 3000 | |
| 3100 | |
| 3200 | |
| 3300 | |
| 3360 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3750 | |
| 3800 | |
| 3850 | |
| 3900 | |
| 3920 | |
| 4000 | |
| 4070 | |
| 4100 | |
| 4200 | |
| 4300 | |
| 4350 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 4850 | |
| 5000 | |
| 5200 | |
| 5210 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 6000 | |
| 6050 | |
| 6200 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6700 | |
| 6750 | |
| 6800 | |
| 6890 | |
| 6900 | |
| 6990 | |
| 7000 | |
| 7200 | |
| 7400 | |
| 7500 | |
| 7800 | |
| 8000 | |
| 8100 | |
| 8200 | |
| 8500 | |
| 8600 | |
| 8700 | |
| 8750 | |
| 8900 | |
| 9000 | |
| 9400 | |
| 9500 | |
| 9600 | |
| 9750 | |
| 10000 | |
| 10200 | |
| 10250 | |
| 10500 | |
| 10700 | |
| 10850 | |
| 11000 | |
| 11200 | |
| 11250 | |
| 11400 | |
| 11500 | |
| 11800 | |
| 12000 | |
| 12400 | |
| 12500 | |
| 12600 | |
| 12700 | |
| 12800 | |
| 12850 | |
| 12950 | |
| 13000 | |
| 13150 | |
| 13200 | |
| 13400 | |
| 14000 | |
| 14300 | |
| 14440 | |
| 14450 | |
| 14500 | |
| 14600 | |
| 14700 | |
| 14750 | |
| 15000 | |
| 15100 | |
| 15200 | |
| 15320 | |
| 15400 | |
| 15420 | |
| 15500 | |
| 15600 | |
| 15650 | |
| 15800 | |
| 16000 | |
| 16100 | |
| 16200 | |
| 16300 | |
| 16400 | |
| 16420 | |
| 16500 | |
| 16750 | |
| 17000 | |
| 17100 | |
| 17200 | |
| 17500 | |
| 18000 | |
| 18100 | |
| 18200 | |
| 18400 | |
| 18500 | |
| 18700 | |
| 19000 | |
| 19700 | |
| 20000 | |
| 20500 | |
| 21000 | |
| 21600 | |
| 22000 | |
| 22800 | |
| 23000 | |
| 23500 | |
| 23700 | |
| 23800 | |
| 24000 | |
| 24600 | |
| 25000 | |
| 25500 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 28200 | |
| 28800 | |
| 29000 | |
| 29500 | |
| 30000 | |
| 30200 | |
| 31000 | |
| 31700 | |
| 32000 | |
| 32500 | |
| 33000 | |
| 33500 | |
| 34000 | |
| 35000 | |
| 35500 | |
| 36000 | |
| 37000 | |
| 37300 | |
| 38000 | |
| 39000 | |
| 39500 | |
| 40000 | |
| 42000 | |
| 42300 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 48000 | |
| 48600 | |
| 49000 | |
| 50000 | |
| 50100 | |
| 50200 | |
| 52000 | |
| 54000 | |
| 55000 | |
| 57300 | |
| 58000 | |
| 60000 | |
| 62000 | |
| 63000 | |
| 64000 | |
| 65000 | |
| 66000 | |
| 67600 | |
| 68000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 75420 | |
| 76000 | |
| 80000 | |
| 85000 | |
| 88350 | |
| 90000 | |
| 98000 | |
| 100000 | |
| 105000 | |
| 112000 | |
| 115000 | |
| 120000 | |
| 125000 | |
| 130000 | |
| 137000 | |
| 140000 | |
| 150000 | |
| 151000 | |
| 160000 | |
| 180000 | |
| 189000 | |
| 200000 | |
| 200250 | |
| 205000 | |
| 240000 | |
| 250000 | |
| 300000 | |
| 500000 | |
| 1000000 | |
| 1500000 | |
| 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.