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
136466
Downloads
13478
- 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 - Other (specify) (s15dq6)
Data file: Section 15C Income miscellaneous income received
Overview
Valid:
4958
Invalid:
1006
Minimum:
0
Maximum:
15000000
Type:
Discrete
Decimal:
0
Start:
79
End:
86
Width:
8
Range:
-
Format:
Questions and instructions
Literal question
During the past 12 months, how much income in cash or kind, did the household receive from the following sources - other?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 5 | |
| 50 | |
| 60 | |
| 100 | |
| 110 | |
| 120 | |
| 150 | |
| 160 | |
| 180 | |
| 190 | |
| 200 | |
| 240 | |
| 250 | |
| 300 | |
| 320 | |
| 340 | |
| 350 | |
| 400 | |
| 420 | |
| 440 | |
| 450 | |
| 470 | |
| 500 | |
| 550 | |
| 600 | |
| 610 | |
| 650 | |
| 700 | |
| 720 | |
| 750 | |
| 800 | |
| 810 | |
| 850 | |
| 900 | |
| 950 | |
| 970 | |
| 1000 | |
| 1100 | |
| 1150 | |
| 1160 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1380 | |
| 1400 | |
| 1420 | |
| 1425 | |
| 1450 | |
| 1500 | |
| 1550 | |
| 1600 | |
| 1645 | |
| 1650 | |
| 1690 | |
| 1700 | |
| 1800 | |
| 1850 | |
| 1900 | |
| 2000 | |
| 2100 | |
| 2135 | |
| 2200 | |
| 2300 | |
| 2400 | |
| 2430 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 2900 | |
| 2920 | |
| 3000 | |
| 3100 | |
| 3160 | |
| 3200 | |
| 3210 | |
| 3240 | |
| 3300 | |
| 3320 | |
| 3350 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3770 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4040 | |
| 4100 | |
| 4200 | |
| 4230 | |
| 4300 | |
| 4370 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4750 | |
| 4800 | |
| 4930 | |
| 5000 | |
| 5100 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5680 | |
| 5700 | |
| 5750 | |
| 5800 | |
| 6000 | |
| 6200 | |
| 6300 | |
| 6500 | |
| 6600 | |
| 6700 | |
| 6800 | |
| 6900 | |
| 6950 | |
| 7000 | |
| 7036 | |
| 7050 | |
| 7200 | |
| 7300 | |
| 7400 | |
| 7500 | |
| 7700 | |
| 7740 | |
| 8000 | |
| 8100 | |
| 8200 | |
| 8300 | |
| 8400 | |
| 8500 | |
| 8600 | |
| 8700 | |
| 8900 | |
| 9000 | |
| 9200 | |
| 9300 | |
| 9400 | |
| 9500 | |
| 9800 | |
| 10000 | |
| 10058 | |
| 10200 | |
| 10300 | |
| 10400 | |
| 10500 | |
| 10600 | |
| 10800 | |
| 11000 | |
| 11200 | |
| 11300 | |
| 11460 | |
| 11500 | |
| 11600 | |
| 11700 | |
| 11750 | |
| 11900 | |
| 12000 | |
| 12250 | |
| 12290 | |
| 12300 | |
| 12370 | |
| 12400 | |
| 12500 | |
| 12600 | |
| 12800 | |
| 13000 | |
| 13050 | |
| 13200 | |
| 13300 | |
| 13500 | |
| 13600 | |
| 13900 | |
| 14000 | |
| 14350 | |
| 14400 | |
| 14500 | |
| 14800 | |
| 14900 | |
| 15000 | |
| 15200 | |
| 15300 | |
| 15400 | |
| 15500 | |
| 15600 | |
| 15800 | |
| 15900 | |
| 16000 | |
| 16300 | |
| 16350 | |
| 16400 | |
| 16500 | |
| 16800 | |
| 17000 | |
| 17300 | |
| 17500 | |
| 17850 | |
| 18000 | |
| 18200 | |
| 18400 | |
| 18500 | |
| 18700 | |
| 19000 | |
| 19200 | |
| 19400 | |
| 19500 | |
| 20000 | |
| 20500 | |
| 20700 | |
| 20800 | |
| 21000 | |
| 21200 | |
| 21500 | |
| 21950 | |
| 22000 | |
| 22600 | |
| 22700 | |
| 23000 | |
| 23350 | |
| 23500 | |
| 23700 | |
| 23750 | |
| 23900 | |
| 23980 | |
| 24000 | |
| 24050 | |
| 24240 | |
| 24400 | |
| 24480 | |
| 24500 | |
| 24600 | |
| 25000 | |
| 25200 | |
| 25500 | |
| 25730 | |
| 25750 | |
| 26000 | |
| 26100 | |
| 26200 | |
| 26400 | |
| 26500 | |
| 26600 | |
| 26920 | |
| 27000 | |
| 27100 | |
| 27234 | |
| 27500 | |
| 28000 | |
| 28100 | |
| 28400 | |
| 28500 | |
| 28600 | |
| 28800 | |
| 29000 | |
| 29900 | |
| 30000 | |
| 30100 | |
| 30300 | |
| 30500 | |
| 30700 | |
| 31000 | |
| 31200 | |
| 32000 | |
| 32500 | |
| 32600 | |
| 32640 | |
| 33000 | |
| 33200 | |
| 33500 | |
| 33750 | |
| 33900 | |
| 34000 | |
| 34200 | |
| 34500 | |
| 34600 | |
| 35000 | |
| 36000 | |
| 36380 | |
| 36500 | |
| 36600 | |
| 36700 | |
| 37000 | |
| 37500 | |
| 37750 | |
| 38000 | |
| 38250 | |
| 38550 | |
| 38800 | |
| 39000 | |
| 39500 | |
| 40000 | |
| 40200 | |
| 40900 | |
| 41600 | |
| 42000 | |
| 42150 | |
| 42350 | |
| 42400 | |
| 43000 | |
| 43350 | |
| 44000 | |
| 44150 | |
| 44200 | |
| 44400 | |
| 44800 | |
| 44980 | |
| 45000 | |
| 45200 | |
| 45250 | |
| 45500 | |
| 45625 | |
| 45700 | |
| 46000 | |
| 46400 | |
| 47000 | |
| 47800 | |
| 48000 | |
| 48100 | |
| 48500 | |
| 49150 | |
| 50000 | |
| 50900 | |
| 51000 | |
| 51930 | |
| 52000 | |
| 52500 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 56400 | |
| 57000 | |
| 57600 | |
| 58000 | |
| 58050 | |
| 58300 | |
| 58700 | |
| 59000 | |
| 59850 | |
| 60000 | |
| 60500 | |
| 60850 | |
| 62000 | |
| 62250 | |
| 62400 | |
| 62750 | |
| 63000 | |
| 64000 | |
| 64500 | |
| 65000 | |
| 66000 | |
| 66400 | |
| 67000 | |
| 68000 | |
| 69000 | |
| 70000 | |
| 71000 | |
| 72000 | |
| 72200 | |
| 72500 | |
| 73000 | |
| 74000 | |
| 74600 | |
| 75000 | |
| 76000 | |
| 76600 | |
| 77000 | |
| 77100 | |
| 78000 | |
| 78450 | |
| 79000 | |
| 79400 | |
| 79500 | |
| 79900 | |
| 80000 | |
| 80550 | |
| 80600 | |
| 81000 | |
| 81600 | |
| 82000 | |
| 82800 | |
| 83000 | |
| 84000 | |
| 85000 | |
| 85200 | |
| 85300 | |
| 86000 | |
| 86400 | |
| 86500 | |
| 87000 | |
| 87400 | |
| 88000 | |
| 88600 | |
| 89000 | |
| 89500 | |
| 90000 | |
| 90300 | |
| 91000 | |
| 92000 | |
| 92400 | |
| 94000 | |
| 94500 | |
| 95000 | |
| 96000 | |
| 97000 | |
| 98000 | |
| 98600 | |
| 98700 | |
| 99500 | |
| 99600 | |
| 100000 | |
| 100500 | |
| 102000 | |
| 103700 | |
| 103900 | |
| 104000 | |
| 105000 | |
| 106000 | |
| 108000 | |
| 110000 | |
| 110100 | |
| 112000 | |
| 114000 | |
| 115000 | |
| 118000 | |
| 118300 | |
| 118800 | |
| 120000 | |
| 122000 | |
| 124000 | |
| 125000 | |
| 126000 | |
| 128000 | |
| 130000 | |
| 130450 | |
| 130500 | |
| 132000 | |
| 133500 | |
| 134400 | |
| 135000 | |
| 136000 | |
| 137000 | |
| 138000 | |
| 140000 | |
| 140500 | |
| 142000 | |
| 144000 | |
| 145000 | |
| 145500 | |
| 147300 | |
| 148000 | |
| 149000 | |
| 149600 | |
| 150000 | |
| 154000 | |
| 156000 | |
| 157000 | |
| 158000 | |
| 160000 | |
| 162000 | |
| 162420 | |
| 164604 | |
| 165000 | |
| 166000 | |
| 167900 | |
| 168000 | |
| 168250 | |
| 170000 | |
| 171000 | |
| 173000 | |
| 174200 | |
| 175000 | |
| 180000 | |
| 180700 | |
| 181500 | |
| 182000 | |
| 185000 | |
| 186000 | |
| 187000 | |
| 190000 | |
| 190100 | |
| 192000 | |
| 195000 | |
| 196000 | |
| 197000 | |
| 198000 | |
| 200000 | |
| 201500 | |
| 203000 | |
| 204000 | |
| 208000 | |
| 210000 | |
| 215000 | |
| 216000 | |
| 218000 | |
| 220000 | |
| 222000 | |
| 225000 | |
| 228000 | |
| 230000 | |
| 231400 | |
| 232000 | |
| 232400 | |
| 234000 | |
| 240000 | |
| 242000 | |
| 243600 | |
| 244700 | |
| 250000 | |
| 252000 | |
| 255000 | |
| 260000 | |
| 262000 | |
| 264000 | |
| 270000 | |
| 272950 | |
| 275000 | |
| 275050 | |
| 276000 | |
| 279000 | |
| 279220 | |
| 280000 | |
| 285000 | |
| 288000 | |
| 290000 | |
| 293000 | |
| 294000 | |
| 300000 | |
| 300800 | |
| 310000 | |
| 312000 | |
| 318000 | |
| 320000 | |
| 324000 | |
| 334000 | |
| 336000 | |
| 340000 | |
| 350000 | |
| 360000 | |
| 370000 | |
| 372000 | |
| 380000 | |
| 384000 | |
| 385000 | |
| 385800 | |
| 386300 | |
| 390000 | |
| 396000 | |
| 400000 | |
| 402000 | |
| 420000 | |
| 426400 | |
| 427500 | |
| 430000 | |
| 440000 | |
| 450000 | |
| 456000 | |
| 457000 | |
| 470000 | |
| 480000 | |
| 500000 | |
| 516000 | |
| 520000 | |
| 540000 | |
| 550000 | |
| 552000 | |
| 560000 | |
| 576000 | |
| 600000 | |
| 620000 | |
| 650000 | |
| 660000 | |
| 665000 | |
| 680000 | |
| 700000 | |
| 708000 | |
| 720000 | |
| 750000 | |
| 768000 | |
| 800000 | |
| 850000 | |
| 860000 | |
| 876000 | |
| 900000 | |
| 960000 | |
| 972000 | |
| 990000 | |
| 1000000 | |
| 1200000 | |
| 1440000 | |
| 2537000 | |
| 3000000 | |
| 4000000 | |
| 6000000 | |
| 15000000 | |
| 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.