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
84231
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 you had sold all [crop] harvested, what would be the value? (s11c2q5)
Data file: Section 11C-C2 Agric Harvest Subsistence
Overview
Valid:
10728
Invalid:
29917
Minimum:
0
Maximum:
1125000
Type:
Discrete
Decimal:
0
Start:
62
End:
68
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
If you had sold all [CROP] harvested in the last 2 weeks, what would have been the total amount?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 2 | |
| 3 | |
| 4 | |
| 5 | |
| 6 | |
| 7 | |
| 8 | |
| 10 | |
| 11 | |
| 12 | |
| 15 | |
| 20 | |
| 24 | |
| 35 | |
| 40 | |
| 50 | |
| 55 | |
| 57 | |
| 60 | |
| 70 | |
| 75 | |
| 80 | |
| 90 | |
| 100 | |
| 120 | |
| 125 | |
| 130 | |
| 135 | |
| 140 | |
| 150 | |
| 160 | |
| 175 | |
| 180 | |
| 200 | |
| 210 | |
| 220 | |
| 225 | |
| 240 | |
| 250 | |
| 255 | |
| 260 | |
| 270 | |
| 280 | |
| 290 | |
| 300 | |
| 320 | |
| 350 | |
| 360 | |
| 375 | |
| 380 | |
| 390 | |
| 400 | |
| 420 | |
| 440 | |
| 450 | |
| 480 | |
| 500 | |
| 510 | |
| 540 | |
| 550 | |
| 560 | |
| 580 | |
| 600 | |
| 640 | |
| 650 | |
| 660 | |
| 700 | |
| 720 | |
| 750 | |
| 800 | |
| 840 | |
| 850 | |
| 880 | |
| 900 | |
| 910 | |
| 950 | |
| 960 | |
| 975 | |
| 1000 | |
| 1020 | |
| 1040 | |
| 1050 | |
| 1065 | |
| 1080 | |
| 1100 | |
| 1110 | |
| 1150 | |
| 1170 | |
| 1200 | |
| 1250 | |
| 1260 | |
| 1280 | |
| 1300 | |
| 1320 | |
| 1333 | |
| 1340 | |
| 1350 | |
| 1400 | |
| 1440 | |
| 1450 | |
| 1480 | |
| 1500 | |
| 1540 | |
| 1560 | |
| 1575 | |
| 1600 | |
| 1650 | |
| 1680 | |
| 1700 | |
| 1750 | |
| 1760 | |
| 1800 | |
| 1890 | |
| 1900 | |
| 1950 | |
| 1980 | |
| 2000 | |
| 2025 | |
| 2030 | |
| 2100 | |
| 2160 | |
| 2200 | |
| 2250 | |
| 2280 | |
| 2300 | |
| 2340 | |
| 2400 | |
| 2450 | |
| 2500 | |
| 2520 | |
| 2550 | |
| 2600 | |
| 2640 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 2850 | |
| 2880 | |
| 2900 | |
| 2950 | |
| 3000 | |
| 3040 | |
| 3080 | |
| 3100 | |
| 3120 | |
| 3150 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3360 | |
| 3400 | |
| 3420 | |
| 3500 | |
| 3539 | |
| 3600 | |
| 3650 | |
| 3700 | |
| 3710 | |
| 3750 | |
| 3800 | |
| 3840 | |
| 3900 | |
| 3920 | |
| 3990 | |
| 4000 | |
| 4050 | |
| 4100 | |
| 4140 | |
| 4200 | |
| 4250 | |
| 4290 | |
| 4300 | |
| 4320 | |
| 4350 | |
| 4380 | |
| 4400 | |
| 4450 | |
| 4500 | |
| 4550 | |
| 4560 | |
| 4600 | |
| 4700 | |
| 4725 | |
| 4750 | |
| 4800 | |
| 4900 | |
| 4940 | |
| 5000 | |
| 5040 | |
| 5100 | |
| 5200 | |
| 5250 | |
| 5300 | |
| 5400 | |
| 5440 | |
| 5450 | |
| 5500 | |
| 5520 | |
| 5600 | |
| 5700 | |
| 5750 | |
| 5760 | |
| 5800 | |
| 5880 | |
| 5920 | |
| 5940 | |
| 6000 | |
| 6090 | |
| 6200 | |
| 6250 | |
| 6300 | |
| 6400 | |
| 6450 | |
| 6480 | |
| 6500 | |
| 6600 | |
| 6700 | |
| 6720 | |
| 6750 | |
| 6800 | |
| 6840 | |
| 6890 | |
| 6900 | |
| 7000 | |
| 7200 | |
| 7350 | |
| 7400 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 7740 | |
| 7800 | |
| 7990 | |
| 8000 | |
| 8200 | |
| 8250 | |
| 8400 | |
| 8500 | |
| 8503 | |
| 8600 | |
| 8700 | |
| 8750 | |
| 8800 | |
| 9000 | |
| 9100 | |
| 9200 | |
| 9450 | |
| 9500 | |
| 9600 | |
| 9660 | |
| 9700 | |
| 9750 | |
| 9800 | |
| 9900 | |
| 9990 | |
| 10000 | |
| 10150 | |
| 10200 | |
| 10400 | |
| 10500 | |
| 10600 | |
| 10800 | |
| 11000 | |
| 11100 | |
| 11200 | |
| 11250 | |
| 11400 | |
| 11460 | |
| 11500 | |
| 11600 | |
| 11900 | |
| 11970 | |
| 12000 | |
| 12250 | |
| 12375 | |
| 12500 | |
| 12600 | |
| 12650 | |
| 12800 | |
| 13000 | |
| 13200 | |
| 13500 | |
| 13800 | |
| 14000 | |
| 14280 | |
| 14400 | |
| 14500 | |
| 14700 | |
| 15000 | |
| 15200 | |
| 15300 | |
| 15400 | |
| 15600 | |
| 16000 | |
| 16100 | |
| 16500 | |
| 16800 | |
| 17000 | |
| 17500 | |
| 17600 | |
| 18000 | |
| 18500 | |
| 19000 | |
| 19200 | |
| 19500 | |
| 19800 | |
| 20000 | |
| 20250 | |
| 21000 | |
| 21500 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 23400 | |
| 23900 | |
| 24000 | |
| 24100 | |
| 24500 | |
| 25000 | |
| 25200 | |
| 25800 | |
| 26000 | |
| 26600 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 30500 | |
| 30600 | |
| 30800 | |
| 31000 | |
| 31200 | |
| 31500 | |
| 31800 | |
| 32000 | |
| 33000 | |
| 33300 | |
| 33600 | |
| 34000 | |
| 34140 | |
| 34400 | |
| 35000 | |
| 36000 | |
| 37500 | |
| 38000 | |
| 38500 | |
| 39000 | |
| 39100 | |
| 40000 | |
| 40500 | |
| 40600 | |
| 40800 | |
| 41000 | |
| 42000 | |
| 42400 | |
| 43000 | |
| 44000 | |
| 44100 | |
| 44800 | |
| 45000 | |
| 45500 | |
| 45600 | |
| 46000 | |
| 46800 | |
| 47000 | |
| 47500 | |
| 48000 | |
| 49000 | |
| 49500 | |
| 49600 | |
| 50000 | |
| 50400 | |
| 51000 | |
| 52000 | |
| 52500 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 55500 | |
| 56000 | |
| 57500 | |
| 58000 | |
| 58500 | |
| 58800 | |
| 60000 | |
| 60200 | |
| 60500 | |
| 61000 | |
| 61100 | |
| 62000 | |
| 63000 | |
| 64000 | |
| 65000 | |
| 65100 | |
| 65800 | |
| 66000 | |
| 67200 | |
| 70000 | |
| 72000 | |
| 74000 | |
| 75000 | |
| 76800 | |
| 78000 | |
| 80000 | |
| 81000 | |
| 82000 | |
| 82500 | |
| 84000 | |
| 85000 | |
| 86000 | |
| 87100 | |
| 87500 | |
| 90000 | |
| 92000 | |
| 95000 | |
| 96000 | |
| 98000 | |
| 100000 | |
| 101400 | |
| 102600 | |
| 104000 | |
| 105000 | |
| 108000 | |
| 110000 | |
| 112000 | |
| 112500 | |
| 114000 | |
| 120000 | |
| 122500 | |
| 124000 | |
| 125000 | |
| 126000 | |
| 129000 | |
| 130000 | |
| 133000 | |
| 135000 | |
| 137500 | |
| 138000 | |
| 140000 | |
| 143000 | |
| 144000 | |
| 150000 | |
| 153000 | |
| 156000 | |
| 157500 | |
| 160000 | |
| 162000 | |
| 162500 | |
| 165000 | |
| 175000 | |
| 180000 | |
| 186667 | |
| 188000 | |
| 192000 | |
| 200000 | |
| 201200 | |
| 208000 | |
| 209000 | |
| 210000 | |
| 220000 | |
| 234000 | |
| 240000 | |
| 245000 | |
| 250000 | |
| 260000 | |
| 270000 | |
| 280000 | |
| 286000 | |
| 294000 | |
| 300000 | |
| 320000 | |
| 350000 | |
| 360000 | |
| 391000 | |
| 400000 | |
| 450000 | |
| 500000 | |
| 600000 | |
| 680000 | |
| 750000 | |
| 900000 | |
| 1080000 | |
| 1125000 | |
| 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.