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
115059
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
Weddings, dowry, funeral (s15dq3)
Data file: Section 15D Income miscellaneous income outgoings
Overview
Valid:
6839
Invalid:
28554
Minimum:
0
Maximum:
1000000
Type:
Discrete
Decimal:
0
Start:
59
End:
65
Width:
7
Range:
-
Format:
Questions and instructions
Literal question
During the past 12 months, how much income in cash or kind, did household spend on the following sources - weddings,dowry,funeral?
Categories
| Value | Category |
|---|---|
| 0 | |
| 2 | |
| 3 | |
| 30 | |
| 50 | |
| 90 | |
| 100 | |
| 110 | |
| 120 | |
| 150 | |
| 200 | |
| 250 | |
| 300 | |
| 350 | |
| 400 | |
| 450 | |
| 500 | |
| 550 | |
| 560 | |
| 580 | |
| 590 | |
| 600 | |
| 650 | |
| 700 | |
| 800 | |
| 850 | |
| 870 | |
| 900 | |
| 950 | |
| 1000 | |
| 1050 | |
| 1100 | |
| 1120 | |
| 1160 | |
| 1200 | |
| 1240 | |
| 1300 | |
| 1400 | |
| 1410 | |
| 1450 | |
| 1500 | |
| 1510 | |
| 1550 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 1900 | |
| 1950 | |
| 2000 | |
| 2050 | |
| 2100 | |
| 2150 | |
| 2190 | |
| 2200 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2550 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 2900 | |
| 2950 | |
| 3000 | |
| 3200 | |
| 3240 | |
| 3300 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3650 | |
| 3700 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4100 | |
| 4200 | |
| 4210 | |
| 4300 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5200 | |
| 5300 | |
| 5500 | |
| 5590 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 6000 | |
| 6050 | |
| 6100 | |
| 6200 | |
| 6400 | |
| 6500 | |
| 6600 | |
| 6700 | |
| 6800 | |
| 7000 | |
| 7100 | |
| 7200 | |
| 7240 | |
| 7260 | |
| 7300 | |
| 7400 | |
| 7500 | |
| 7600 | |
| 7800 | |
| 8000 | |
| 8100 | |
| 8200 | |
| 8500 | |
| 8700 | |
| 9000 | |
| 9500 | |
| 9600 | |
| 9700 | |
| 10000 | |
| 10400 | |
| 10500 | |
| 10600 | |
| 11000 | |
| 11100 | |
| 11500 | |
| 12000 | |
| 12500 | |
| 12600 | |
| 13000 | |
| 13500 | |
| 14000 | |
| 14500 | |
| 15000 | |
| 15500 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 17500 | |
| 18000 | |
| 19000 | |
| 20000 | |
| 20500 | |
| 21000 | |
| 22000 | |
| 22200 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 27500 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 30700 | |
| 32000 | |
| 32500 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 38000 | |
| 40000 | |
| 43000 | |
| 45000 | |
| 46000 | |
| 48000 | |
| 50000 | |
| 53000 | |
| 55000 | |
| 56000 | |
| 58000 | |
| 60000 | |
| 65000 | |
| 66000 | |
| 70000 | |
| 75000 | |
| 76300 | |
| 77800 | |
| 78000 | |
| 80000 | |
| 85000 | |
| 87000 | |
| 89000 | |
| 90000 | |
| 100000 | |
| 110000 | |
| 120000 | |
| 130000 | |
| 140000 | |
| 150000 | |
| 160000 | |
| 165000 | |
| 170000 | |
| 180000 | |
| 200000 | |
| 210000 | |
| 250000 | |
| 300000 | |
| 400000 | |
| 420000 | |
| 480000 | |
| 500000 | |
| 600000 | |
| 700000 | |
| 750000 | |
| 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.