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
84731
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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
How much did you spend on [item] during the last 12 months? (s13bq7)
Data file: Section 13B-B2 Expenditures-first enterprise not operating
Overview
Valid:
1406
Invalid:
9678
Minimum:
1
Maximum:
2040000
Type:
Discrete
Decimal:
0
Start:
58
End:
64
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
How much did you spend on [ITEM] during the last 12 months?
Categories
| Value | Category |
|---|---|
| 1 | |
| 5 | |
| 20 | |
| 50 | |
| 100 | |
| 110 | |
| 150 | |
| 160 | |
| 180 | |
| 200 | |
| 250 | |
| 300 | |
| 360 | |
| 400 | |
| 440 | |
| 450 | |
| 480 | |
| 500 | |
| 600 | |
| 640 | |
| 650 | |
| 700 | |
| 800 | |
| 900 | |
| 1000 | |
| 1040 | |
| 1200 | |
| 1300 | |
| 1320 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1550 | |
| 1600 | |
| 1650 | |
| 1700 | |
| 1800 | |
| 1920 | |
| 2000 | |
| 2100 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2800 | |
| 2850 | |
| 3000 | |
| 3120 | |
| 3200 | |
| 3400 | |
| 3450 | |
| 3500 | |
| 3600 | |
| 3662 | |
| 3800 | |
| 4000 | |
| 4200 | |
| 4500 | |
| 4800 | |
| 5000 | |
| 5100 | |
| 5200 | |
| 5300 | |
| 5500 | |
| 5600 | |
| 6000 | |
| 6200 | |
| 6350 | |
| 6400 | |
| 6500 | |
| 6800 | |
| 7000 | |
| 7200 | |
| 7500 | |
| 8000 | |
| 8200 | |
| 8400 | |
| 8500 | |
| 8800 | |
| 9000 | |
| 9200 | |
| 9600 | |
| 10000 | |
| 10400 | |
| 10500 | |
| 10800 | |
| 11000 | |
| 12000 | |
| 12500 | |
| 12700 | |
| 12800 | |
| 13000 | |
| 13200 | |
| 13500 | |
| 14000 | |
| 14400 | |
| 15000 | |
| 15500 | |
| 16000 | |
| 16300 | |
| 17000 | |
| 17300 | |
| 17400 | |
| 17500 | |
| 18000 | |
| 18250 | |
| 18500 | |
| 19000 | |
| 19300 | |
| 20000 | |
| 20100 | |
| 21000 | |
| 21600 | |
| 22000 | |
| 23040 | |
| 23500 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 28820 | |
| 29500 | |
| 30000 | |
| 31000 | |
| 32000 | |
| 32500 | |
| 33000 | |
| 33600 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 38000 | |
| 40000 | |
| 44000 | |
| 45000 | |
| 47000 | |
| 48000 | |
| 50000 | |
| 52000 | |
| 55000 | |
| 56000 | |
| 57600 | |
| 60000 | |
| 63000 | |
| 65000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 79000 | |
| 80000 | |
| 85000 | |
| 87500 | |
| 90000 | |
| 95000 | |
| 96000 | |
| 100000 | |
| 110000 | |
| 112000 | |
| 115000 | |
| 120000 | |
| 130000 | |
| 144000 | |
| 145600 | |
| 150000 | |
| 155000 | |
| 160000 | |
| 180000 | |
| 190000 | |
| 200000 | |
| 208000 | |
| 211600 | |
| 245000 | |
| 250000 | |
| 275000 | |
| 276000 | |
| 280000 | |
| 288000 | |
| 300000 | |
| 330000 | |
| 360000 | |
| 375000 | |
| 400000 | |
| 450000 | |
| 480000 | |
| 490000 | |
| 500000 | |
| 600000 | |
| 720000 | |
| 800000 | |
| 945000 | |
| 1000000 | |
| 1195200 | |
| 1200000 | |
| 1438000 | |
| 1497600 | |
| 1900000 | |
| 2040000 | |
| 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.