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
114331
Downloads
12703
- 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
What was the total value of the [ITEM] purchases? (s11a2q11)
Data file: Section 11A-A2 Agricultural assets-livestock
Overview
Valid:
2185
Invalid:
55942
Minimum:
1
Maximum:
1000000
Type:
Discrete
Decimal:
0
Start:
83
End:
89
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
What was the total amount of the purchases?
Categories
| Value | Category |
|---|---|
| 1 | |
| 2 | |
| 3 | |
| 5 | |
| 9 | |
| 15 | |
| 25 | |
| 40 | |
| 48 | |
| 50 | |
| 60 | |
| 100 | |
| 120 | |
| 150 | |
| 180 | |
| 200 | |
| 240 | |
| 250 | |
| 300 | |
| 320 | |
| 350 | |
| 360 | |
| 400 | |
| 410 | |
| 420 | |
| 450 | |
| 480 | |
| 500 | |
| 560 | |
| 580 | |
| 600 | |
| 650 | |
| 670 | |
| 700 | |
| 720 | |
| 740 | |
| 750 | |
| 760 | |
| 800 | |
| 860 | |
| 900 | |
| 950 | |
| 1000 | |
| 1050 | |
| 1100 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1550 | |
| 1600 | |
| 1750 | |
| 1800 | |
| 1900 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 3000 | |
| 3200 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4100 | |
| 4200 | |
| 4300 | |
| 4500 | |
| 4700 | |
| 4800 | |
| 4950 | |
| 5000 | |
| 5100 | |
| 5200 | |
| 5250 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5800 | |
| 5900 | |
| 6000 | |
| 6050 | |
| 6200 | |
| 6250 | |
| 6500 | |
| 6700 | |
| 6800 | |
| 6900 | |
| 7000 | |
| 7030 | |
| 7100 | |
| 7200 | |
| 7500 | |
| 7800 | |
| 7900 | |
| 8000 | |
| 8100 | |
| 8200 | |
| 8500 | |
| 8600 | |
| 8700 | |
| 8750 | |
| 9000 | |
| 9200 | |
| 9500 | |
| 9700 | |
| 10000 | |
| 10500 | |
| 11000 | |
| 11001 | |
| 11100 | |
| 11500 | |
| 12000 | |
| 12400 | |
| 12500 | |
| 13000 | |
| 13400 | |
| 13500 | |
| 14000 | |
| 14400 | |
| 14500 | |
| 15000 | |
| 15100 | |
| 15400 | |
| 16000 | |
| 16500 | |
| 16620 | |
| 16900 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 18300 | |
| 18500 | |
| 19000 | |
| 19500 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 23400 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 27500 | |
| 30000 | |
| 32000 | |
| 32500 | |
| 33000 | |
| 35000 | |
| 36000 | |
| 38000 | |
| 40000 | |
| 42000 | |
| 45000 | |
| 46000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 51500 | |
| 52000 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 58500 | |
| 60000 | |
| 62000 | |
| 64500 | |
| 65000 | |
| 67500 | |
| 68000 | |
| 70000 | |
| 73000 | |
| 75000 | |
| 80000 | |
| 82000 | |
| 84000 | |
| 85000 | |
| 86000 | |
| 90000 | |
| 92000 | |
| 95000 | |
| 96000 | |
| 98000 | |
| 100000 | |
| 105000 | |
| 110000 | |
| 115000 | |
| 120000 | |
| 130000 | |
| 132000 | |
| 135000 | |
| 140000 | |
| 145000 | |
| 150000 | |
| 160000 | |
| 168000 | |
| 170000 | |
| 175000 | |
| 188000 | |
| 200000 | |
| 202000 | |
| 210000 | |
| 218000 | |
| 225000 | |
| 240000 | |
| 280000 | |
| 284000 | |
| 300000 | |
| 340000 | |
| 400000 | |
| 420000 | |
| 550000 | |
| 700000 | |
| 800000 | |
| 1000000 | |
| 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.