Nigeria Living Standard Survey 2003
First round
Nigeria, 2003 - 2004
Get Microdata
Reference ID
NGA-NBS-NLSS-2003-v1.2
Producer(s)
National Bureau of Statistics
Metadata
Created on
Oct 18, 2010
Last modified
Nov 13, 2018
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- Data files
-
Characteristics
of main
occupation -
Educational
career -
Screeening
questions and
list of
occupations in
the past 12
months -
Fertility,
prenatal care,
contraceptives -
General
Education -
Health
condition in
the past two
weeks - HIVAIDS
-
Household
Roaster for
each person -
Introductory
visit -
Literacy and
apprenticeship - Other visit
- Postnatal care
-
Preventive,
health,
vaccination -
Employment
History - Housekeeping
- Migration 1
-
Third
Occupation in
the last 12
months -
Fourth
occupation in
the last 12
months -
Secondary
occupation in
the last 12
months -
Employment
search in the
past 12 months -
Activity status
and employment
search in the
last 7 days -
Agric assets,
land and
livestock -
Consumption of
own produce,
day and month
of visit - Credit
-
Food expenses
days and month
of visit -
Household
Expenditure on
education -
Household
expenditure on
food frequently
purchased -
Household
Expenditure on
health -
Household
Expenditure on
Non-food
frequently
purchased -
Housing
respondent -
Identification
of respondent
for agric and
business
questions -
Intro to
Expenditure,
first
enterprise -
Intro to non
farm
enterprise,
third
enterprise,
expenditure -
Introduction to
income transfer
and
miscellaneous
income and
expenditure -
Introduction to
transfer
payments made
by household -
Miscellaneous
income and
expenditure -
Non food
expenses
frequently
purchased items
visits -
Social capital
and community
participation -
Total Household
Expenditure -
Harvest and
disposal, root
fruits veg and
crops harvested
piecemeal -
Agic assets,
equipment -
Agric cost and
expenses -
Assets of
first non farm
enterprises -
Assets and
durable goods -
Assets of
second non farm
enterprise -
Basic
chracteristics
of non-farm
enterprise -
Consumption of
own production -
Expenditure,
Non farm third
enterprise - Food Expenses
-
Harvest and
disposal of
crop staple
grain, field
crops and cash
crops -
Processing of
agric produce -
Transfer
payments made
by household -
Household
income schedule - Income transfer
-
Non Farm
enterprise,
First
enterprise,
expenditure -
Non Farm
enterprises,
second
enterprise,
expenditure -
Other agric
income, in cash
or kind - Plot detail
-
Non food
expenses on
less frequently
purchased items -
Revenue of Non
Farm enterprise - Savings
-
Seasonality of
sales and
purchase -
Non food
expenses
frequently
purchased items
State identification code (State)
Data file: Non food expenses on less frequently purchased items
Overview
Valid:
882574
Invalid:
0
Minimum:
1
Maximum:
37
Type:
Continuous
Decimal:
0
Start:
1
End:
2
Width:
2
Range:
1 - 37
Format:
Numeric
Questions and instructions
Literal question
STATE
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Abia | 28231 |
3.2%
|
| 2 | Adamawa | 25459 |
2.9%
|
| 3 | Akwa ibom | 28856 |
3.3%
|
| 4 | Anambra | 31510 |
3.6%
|
| 5 | Bauchi | 24803 |
2.8%
|
| 6 | Bayelsa | 24218 |
2.7%
|
| 7 | Benue | 23108 |
2.6%
|
| 8 | Borno | 27566 |
3.1%
|
| 9 | Cross_rivers | 27093 |
3.1%
|
| 10 | Delta | 12058 |
1.4%
|
| 11 | Ebonyi | 29774 |
3.4%
|
| 12 | Edo | 16403 |
1.9%
|
| 13 | Ekiti | 24358 |
2.8%
|
| 14 | Enugu | 30024 |
3.4%
|
| 15 | Gombe | 25278 |
2.9%
|
| 16 | Imo | 20849 |
2.4%
|
| 17 | Jigawa | 37723 |
4.3%
|
| 18 | Kaduna | 32917 |
3.7%
|
| 19 | Kano | 32812 |
3.7%
|
| 20 | Katsina | 31279 |
3.5%
|
| 21 | Kebbi | 30496 |
3.5%
|
| 22 | Kogi | 3314 |
0.4%
|
| 23 | Kwara | 759 |
0.1%
|
| 24 | Lagos | 2880 |
0.3%
|
| 25 | Nassarawa | 23678 |
2.7%
|
| 26 | Niger | 25160 |
2.9%
|
| 27 | Ogun | 32338 |
3.7%
|
| 28 | Ondo | 22059 |
2.5%
|
| 29 | Osun | 30184 |
3.4%
|
| 30 | Oyo | 28524 |
3.2%
|
| 31 | Plateau | 28153 |
3.2%
|
| 32 | Rivers | 17912 |
2%
|
| 33 | Sokoto | 12644 |
1.4%
|
| 34 | Taraba | 25694 |
2.9%
|
| 35 | Yobe | 36538 |
4.1%
|
| 36 | Zanfara | 16144 |
1.8%
|
| 37 | Fct | 11778 |
1.3%
|
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.