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
84774
Downloads
12076
- 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
If the [FARM] were to be sold today, how much would it be worth? (s11bq7)
Data file: Section 11B Plot details
Overview
Valid:
43127
Invalid:
20534
Minimum:
0
Maximum:
500000000
Type:
Discrete
Decimal:
0
Start:
60
End:
68
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
If the farm were to be sold today, how much would it be worth?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 2 | |
| 3 | |
| 4 | |
| 5 | |
| 6 | |
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| 25 | |
| 30 | |
| 35 | |
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| 42 | |
| 45 | |
| 48 | |
| 50 | |
| 58 | |
| 60 | |
| 70 | |
| 75 | |
| 80 | |
| 85 | |
| 90 | |
| 100 | |
| 110 | |
| 120 | |
| 130 | |
| 140 | |
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| 155 | |
| 170 | |
| 180 | |
| 189 | |
| 200 | |
| 210 | |
| 220 | |
| 230 | |
| 240 | |
| 250 | |
| 270 | |
| 280 | |
| 300 | |
| 320 | |
| 340 | |
| 350 | |
| 385 | |
| 390 | |
| 400 | |
| 420 | |
| 440 | |
| 450 | |
| 460 | |
| 480 | |
| 500 | |
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| 600 | |
| 680 | |
| 700 | |
| 750 | |
| 765 | |
| 780 | |
| 800 | |
| 850 | |
| 900 | |
| 1000 | |
| 1020 | |
| 1040 | |
| 1050 | |
| 1080 | |
| 1090 | |
| 1100 | |
| 1200 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3005 | |
| 3200 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4100 | |
| 4200 | |
| 4300 | |
| 4500 | |
| 4600 | |
| 4650 | |
| 4800 | |
| 4900 | |
| 4950 | |
| 5000 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5653 | |
| 5700 | |
| 5800 | |
| 5900 | |
| 6000 | |
| 6400 | |
| 6500 | |
| 6800 | |
| 7000 | |
| 7200 | |
| 7500 | |
| 7800 | |
| 8000 | |
| 8200 | |
| 8500 | |
| 8600 | |
| 8800 | |
| 9000 | |
| 9200 | |
| 9400 | |
| 9500 | |
| 10000 | |
| 10020 | |
| 10100 | |
| 10200 | |
| 10500 | |
| 10800 | |
| 11000 | |
| 11200 | |
| 11500 | |
| 12000 | |
| 12500 | |
| 12600 | |
| 13000 | |
| 13200 | |
| 13500 | |
| 13700 | |
| 14000 | |
| 14200 | |
| 14900 | |
| 15000 | |
| 15300 | |
| 15400 | |
| 15500 | |
| 15600 | |
| 15800 | |
| 15900 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18500 | |
| 19000 | |
| 19100 | |
| 19500 | |
| 19800 | |
| 20000 | |
| 21000 | |
| 21200 | |
| 22000 | |
| 22400 | |
| 22500 | |
| 23000 | |
| 24000 | |
| 24500 | |
| 25000 | |
| 25500 | |
| 25600 | |
| 25740 | |
| 26000 | |
| 26250 | |
| 26500 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 28500 | |
| 29000 | |
| 29500 | |
| 30000 | |
| 30200 | |
| 30500 | |
| 31000 | |
| 32000 | |
| 32200 | |
| 32800 | |
| 33000 | |
| 33333 | |
| 33600 | |
| 33850 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 36600 | |
| 37000 | |
| 38000 | |
| 38200 | |
| 38500 | |
| 39000 | |
| 39500 | |
| 40000 | |
| 40500 | |
| 40800 | |
| 41000 | |
| 42000 | |
| 43000 | |
| 43500 | |
| 43800 | |
| 44000 | |
| 45000 | |
| 45500 | |
| 46000 | |
| 46200 | |
| 46500 | |
| 47000 | |
| 47500 | |
| 48000 | |
| 48500 | |
| 49000 | |
| 49200 | |
| 49500 | |
| 50000 | |
| 50200 | |
| 50500 | |
| 51000 | |
| 52000 | |
| 52500 | |
| 53000 | |
| 53500 | |
| 54000 | |
| 55000 | |
| 55500 | |
| 56000 | |
| 56160 | |
| 57000 | |
| 58000 | |
| 58700 | |
| 59000 | |
| 59200 | |
| 59500 | |
| 60000 | |
| 60500 | |
| 60800 | |
| 61000 | |
| 62000 | |
| 62001 | |
| 62500 | |
| 63000 | |
| 64000 | |
| 64500 | |
| 65000 | |
| 65500 | |
| 66000 | |
| 67000 | |
| 67500 | |
| 68000 | |
| 68400 | |
| 69000 | |
| 70000 | |
| 70600 | |
| 71000 | |
| 72000 | |
| 73000 | |
| 74000 | |
| 75000 | |
| 75500 | |
| 76000 | |
| 76200 | |
| 76500 | |
| 76800 | |
| 77000 | |
| 77500 | |
| 78000 | |
| 79000 | |
| 80000 | |
| 80100 | |
| 80650 | |
| 81000 | |
| 81250 | |
| 82000 | |
| 83000 | |
| 84000 | |
| 85000 | |
| 86000 | |
| 86100 | |
| 86500 | |
| 87000 | |
| 88000 | |
| 88700 | |
| 88750 | |
| 89000 | |
| 90000 | |
| 90050 | |
| 90080 | |
| 91000 | |
| 92000 | |
| 93000 | |
| 94000 | |
| 95000 | |
| 95600 | |
| 96000 | |
| 97000 | |
| 98000 | |
| 98500 | |
| 99000 | |
| 99500 | |
| 100000 | |
| 100500 | |
| 101000 | |
| 102000 | |
| 104000 | |
| 105000 | |
| 106000 | |
| 107000 | |
| 108000 | |
| 109000 | |
| 110000 | |
| 112000 | |
| 114000 | |
| 115000 | |
| 116000 | |
| 117000 | |
| 118000 | |
| 120000 | |
| 121000 | |
| 122000 | |
| 123000 | |
| 124000 | |
| 125000 | |
| 125700 | |
| 126000 | |
| 127000 | |
| 128000 | |
| 129000 | |
| 130000 | |
| 132000 | |
| 133000 | |
| 135000 | |
| 136000 | |
| 137000 | |
| 137500 | |
| 138000 | |
| 140000 | |
| 141000 | |
| 142000 | |
| 142500 | |
| 143000 | |
| 144000 | |
| 145000 | |
| 146000 | |
| 147000 | |
| 148000 | |
| 149000 | |
| 150000 | |
| 151000 | |
| 152000 | |
| 155000 | |
| 156000 | |
| 157500 | |
| 158000 | |
| 160000 | |
| 161000 | |
| 162000 | |
| 162600 | |
| 164000 | |
| 165000 | |
| 166000 | |
| 168000 | |
| 169000 | |
| 170000 | |
| 170100 | |
| 170500 | |
| 171000 | |
| 172000 | |
| 174000 | |
| 175000 | |
| 176000 | |
| 178000 | |
| 180000 | |
| 181000 | |
| 182000 | |
| 183000 | |
| 184000 | |
| 185000 | |
| 186000 | |
| 187000 | |
| 187500 | |
| 188500 | |
| 189000 | |
| 190000 | |
| 190750 | |
| 191000 | |
| 192000 | |
| 194000 | |
| 195000 | |
| 196000 | |
| 198000 | |
| 199000 | |
| 200000 | |
| 200100 | |
| 202000 | |
| 210000 | |
| 215000 | |
| 217000 | |
| 220000 | |
| 222000 | |
| 224000 | |
| 225000 | |
| 230000 | |
| 232000 | |
| 235000 | |
| 236000 | |
| 238000 | |
| 240000 | |
| 241000 | |
| 243000 | |
| 245000 | |
| 246000 | |
| 248000 | |
| 250000 | |
| 252000 | |
| 253500 | |
| 255000 | |
| 256000 | |
| 256500 | |
| 259000 | |
| 259750 | |
| 260000 | |
| 262500 | |
| 265000 | |
| 269000 | |
| 270000 | |
| 272000 | |
| 275000 | |
| 276000 | |
| 278000 | |
| 279000 | |
| 280000 | |
| 285000 | |
| 286000 | |
| 288000 | |
| 288750 | |
| 290000 | |
| 295000 | |
| 298000 | |
| 300000 | |
| 303000 | |
| 305000 | |
| 308000 | |
| 310000 | |
| 311000 | |
| 312000 | |
| 313000 | |
| 315000 | |
| 320000 | |
| 320400 | |
| 323750 | |
| 325000 | |
| 330000 | |
| 333000 | |
| 336000 | |
| 340000 | |
| 345000 | |
| 350000 | |
| 352000 | |
| 360000 | |
| 364000 | |
| 370000 | |
| 371250 | |
| 375000 | |
| 378000 | |
| 380000 | |
| 384000 | |
| 385000 | |
| 386300 | |
| 390000 | |
| 392000 | |
| 396000 | |
| 400000 | |
| 400500 | |
| 401000 | |
| 402500 | |
| 405000 | |
| 410000 | |
| 416000 | |
| 420000 | |
| 425000 | |
| 428000 | |
| 430000 | |
| 437500 | |
| 440000 | |
| 450000 | |
| 450600 | |
| 460000 | |
| 465000 | |
| 467000 | |
| 470000 | |
| 475000 | |
| 480000 | |
| 481000 | |
| 490000 | |
| 500000 | |
| 503000 | |
| 507500 | |
| 510000 | |
| 520000 | |
| 525000 | |
| 530000 | |
| 540000 | |
| 545000 | |
| 550000 | |
| 552800 | |
| 554000 | |
| 558000 | |
| 560000 | |
| 565450 | |
| 570000 | |
| 575000 | |
| 580000 | |
| 590000 | |
| 600000 | |
| 600001 | |
| 610000 | |
| 615000 | |
| 620000 | |
| 625000 | |
| 630000 | |
| 635000 | |
| 640000 | |
| 645000 | |
| 650000 | |
| 655000 | |
| 660000 | |
| 670000 | |
| 680000 | |
| 684000 | |
| 687000 | |
| 688000 | |
| 690000 | |
| 700000 | |
| 700001 | |
| 700003 | |
| 710000 | |
| 720000 | |
| 728000 | |
| 750000 | |
| 755000 | |
| 760000 | |
| 770000 | |
| 780000 | |
| 784000 | |
| 785000 | |
| 786000 | |
| 789000 | |
| 789500 | |
| 790000 | |
| 792000 | |
| 798000 | |
| 800000 | |
| 801000 | |
| 810000 | |
| 820000 | |
| 825000 | |
| 830000 | |
| 840000 | |
| 842000 | |
| 845000 | |
| 846000 | |
| 848000 | |
| 850000 | |
| 856000 | |
| 860000 | |
| 864000 | |
| 865000 | |
| 869500 | |
| 870000 | |
| 875000 | |
| 880000 | |
| 890000 | |
| 900000 | |
| 900200 | |
| 910000 | |
| 920000 | |
| 925000 | |
| 926000 | |
| 930000 | |
| 935000 | |
| 940000 | |
| 950000 | |
| 955000 | |
| 956000 | |
| 960000 | |
| 963000 | |
| 965000 | |
| 970000 | |
| 980000 | |
| 984000 | |
| 995000 | |
| 1000000 | |
| 1005000 | |
| 1020000 | |
| 1050000 | |
| 1070000 | |
| 1100000 | |
| 1110000 | |
| 1150000 | |
| 1200000 | |
| 1200004 | |
| 1245320 | |
| 1250000 | |
| 1300000 | |
| 1320000 | |
| 1400000 | |
| 1450000 | |
| 1500000 | |
| 1500001 | |
| 1543560 | |
| 1600000 | |
| 1660000 | |
| 1700000 | |
| 1800000 | |
| 1820000 | |
| 1840500 | |
| 1845900 | |
| 1850000 | |
| 1900000 | |
| 2000000 | |
| 2000003 | |
| 2002000 | |
| 2100000 | |
| 2200000 | |
| 2250000 | |
| 2300000 | |
| 2400000 | |
| 2500000 | |
| 2500003 | |
| 2600000 | |
| 2700000 | |
| 2800000 | |
| 2900000 | |
| 3000000 | |
| 3020000 | |
| 3200000 | |
| 3300000 | |
| 3400000 | |
| 3500000 | |
| 3600000 | |
| 3700000 | |
| 3800000 | |
| 3900000 | |
| 4000000 | |
| 4200000 | |
| 4300000 | |
| 4500000 | |
| 4600000 | |
| 4700000 | |
| 4800000 | |
| 5000000 | |
| 5200000 | |
| 5400000 | |
| 5500000 | |
| 5600000 | |
| 5700000 | |
| 5800000 | |
| 5900000 | |
| 6000000 | |
| 6400000 | |
| 6500000 | |
| 6700000 | |
| 7000000 | |
| 7500000 | |
| 8000000 | |
| 8070000 | |
| 8500000 | |
| 9000000 | |
| 9500000 | |
| 10000000 | |
| 12000000 | |
| 12000002 | |
| 12500000 | |
| 13000000 | |
| 14000000 | |
| 15000000 | |
| 16000000 | |
| 17000000 | |
| 18000000 | |
| 19000000 | |
| 20000000 | |
| 22000000 | |
| 24000000 | |
| 25000000 | |
| 26000000 | |
| 28000000 | |
| 30000000 | |
| 35000000 | |
| 40000000 | |
| 45000000 | |
| 50000000 | |
| 52000000 | |
| 60000000 | |
| 80000000 | |
| 100000000 | |
| 100000005 | |
| 120000000 | |
| 125000000 | |
| 130000000 | |
| 150000000 | |
| 160000000 | |
| 200000000 | |
| 200000005 | |
| 236555400 | |
| 240000000 | |
| 280000000 | |
| 300000000 | |
| 400000000 | |
| 500000000 | |
| 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.