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
115041
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
How much has been added to [NAME] savings in last 12 months (s14bq5)
Data file: Section 14B Savings
Overview
Valid:
5961
Invalid:
30574
Minimum:
0
Maximum:
150000000
Type:
Discrete
Decimal:
0
Start:
57
End:
65
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
How much has been added to the savings in the last 12 months?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 2 | |
| 3 | |
| 5 | |
| 6 | |
| 9 | |
| 10 | |
| 15 | |
| 20 | |
| 25 | |
| 30 | |
| 40 | |
| 50 | |
| 100 | |
| 150 | |
| 160 | |
| 200 | |
| 210 | |
| 250 | |
| 291 | |
| 300 | |
| 320 | |
| 350 | |
| 400 | |
| 500 | |
| 520 | |
| 550 | |
| 600 | |
| 650 | |
| 700 | |
| 800 | |
| 850 | |
| 890 | |
| 900 | |
| 920 | |
| 950 | |
| 1000 | |
| 1050 | |
| 1065 | |
| 1100 | |
| 1128 | |
| 1150 | |
| 1200 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1650 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 1820 | |
| 1850 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2250 | |
| 2350 | |
| 2400 | |
| 2500 | |
| 2597 | |
| 2600 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3900 | |
| 4000 | |
| 4200 | |
| 4350 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 4810 | |
| 5000 | |
| 5100 | |
| 5200 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5750 | |
| 5800 | |
| 5840 | |
| 6000 | |
| 6200 | |
| 6400 | |
| 6500 | |
| 6800 | |
| 7000 | |
| 7200 | |
| 7500 | |
| 7600 | |
| 7800 | |
| 8000 | |
| 8200 | |
| 8400 | |
| 8500 | |
| 9000 | |
| 9500 | |
| 9600 | |
| 9700 | |
| 10000 | |
| 10200 | |
| 10250 | |
| 10300 | |
| 10400 | |
| 10500 | |
| 10600 | |
| 10800 | |
| 11000 | |
| 11200 | |
| 11350 | |
| 11400 | |
| 11500 | |
| 11700 | |
| 12000 | |
| 12200 | |
| 12250 | |
| 12350 | |
| 12500 | |
| 12800 | |
| 13000 | |
| 13500 | |
| 13800 | |
| 14000 | |
| 14400 | |
| 14500 | |
| 14800 | |
| 15000 | |
| 15300 | |
| 15500 | |
| 15600 | |
| 15700 | |
| 15800 | |
| 16000 | |
| 16400 | |
| 16500 | |
| 16800 | |
| 17000 | |
| 17500 | |
| 17800 | |
| 18000 | |
| 18200 | |
| 18300 | |
| 19000 | |
| 19200 | |
| 19800 | |
| 20000 | |
| 20500 | |
| 21000 | |
| 21400 | |
| 22000 | |
| 23000 | |
| 24000 | |
| 24700 | |
| 24800 | |
| 25000 | |
| 25600 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 28700 | |
| 29000 | |
| 29500 | |
| 30000 | |
| 30200 | |
| 30800 | |
| 31000 | |
| 31200 | |
| 31600 | |
| 32000 | |
| 32800 | |
| 33000 | |
| 34000 | |
| 34020 | |
| 35000 | |
| 35700 | |
| 36000 | |
| 36500 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 38400 | |
| 39000 | |
| 40000 | |
| 41000 | |
| 42000 | |
| 43000 | |
| 43500 | |
| 44000 | |
| 44800 | |
| 45000 | |
| 45325 | |
| 45500 | |
| 46000 | |
| 46650 | |
| 47000 | |
| 48000 | |
| 48500 | |
| 49000 | |
| 50000 | |
| 50500 | |
| 51000 | |
| 52000 | |
| 52800 | |
| 54000 | |
| 55000 | |
| 55200 | |
| 56000 | |
| 57000 | |
| 57500 | |
| 58000 | |
| 59000 | |
| 60000 | |
| 61000 | |
| 62000 | |
| 63000 | |
| 63500 | |
| 64000 | |
| 65000 | |
| 66000 | |
| 68000 | |
| 69000 | |
| 69800 | |
| 70000 | |
| 72000 | |
| 73000 | |
| 73200 | |
| 75000 | |
| 76000 | |
| 78000 | |
| 79000 | |
| 80000 | |
| 80800 | |
| 81000 | |
| 82000 | |
| 84000 | |
| 85000 | |
| 86000 | |
| 88000 | |
| 89000 | |
| 90000 | |
| 95000 | |
| 96000 | |
| 100000 | |
| 100800 | |
| 104000 | |
| 108000 | |
| 108600 | |
| 110000 | |
| 111000 | |
| 114000 | |
| 115000 | |
| 118000 | |
| 120000 | |
| 125000 | |
| 130000 | |
| 132000 | |
| 132500 | |
| 135000 | |
| 140000 | |
| 142000 | |
| 144000 | |
| 145000 | |
| 148800 | |
| 149720 | |
| 150000 | |
| 156000 | |
| 160000 | |
| 170000 | |
| 176000 | |
| 178000 | |
| 180000 | |
| 195000 | |
| 198000 | |
| 200000 | |
| 204000 | |
| 214000 | |
| 216000 | |
| 220000 | |
| 240000 | |
| 248000 | |
| 250000 | |
| 252000 | |
| 252600 | |
| 260000 | |
| 270000 | |
| 275000 | |
| 280000 | |
| 300000 | |
| 302000 | |
| 312000 | |
| 320000 | |
| 324000 | |
| 325500 | |
| 328200 | |
| 332880 | |
| 336000 | |
| 342000 | |
| 350000 | |
| 360000 | |
| 365400 | |
| 366000 | |
| 370000 | |
| 384000 | |
| 390000 | |
| 400000 | |
| 420000 | |
| 432000 | |
| 436000 | |
| 450000 | |
| 456000 | |
| 458000 | |
| 470000 | |
| 480000 | |
| 500000 | |
| 504000 | |
| 516000 | |
| 520000 | |
| 540000 | |
| 550000 | |
| 560000 | |
| 564000 | |
| 570000 | |
| 580000 | |
| 600000 | |
| 648000 | |
| 650000 | |
| 680000 | |
| 696000 | |
| 700000 | |
| 720000 | |
| 750000 | |
| 760000 | |
| 780000 | |
| 800000 | |
| 840000 | |
| 850000 | |
| 860000 | |
| 864000 | |
| 900000 | |
| 960000 | |
| 1000000 | |
| 1200000 | |
| 1436000 | |
| 1440000 | |
| 1500000 | |
| 2000000 | |
| 2400000 | |
| 3000000 | |
| 4000000 | |
| 5000000 | |
| 11000000 | |
| 12000000 | |
| 15000000 | |
| 50000000 | |
| 100000000 | |
| 150000000 | |
| 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.