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
Page views
1632189
Downloads
77342
- 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 of the nation (State)
Data file: Assets and durable goods
Overview
Valid:
299652
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 | 9778 |
3.3%
|
| 2 | Adamawa | 8412 |
2.8%
|
| 3 | Akwa ibom | 8988 |
3%
|
| 4 | Anambra | 10316 |
3.4%
|
| 5 | Bauchi | 8726 |
2.9%
|
| 6 | Bayelsa | 9564 |
3.2%
|
| 7 | Benue | 8273 |
2.8%
|
| 8 | Borno | 8240 |
2.7%
|
| 9 | Cross rivers | 8756 |
2.9%
|
| 10 | Delta | 3653 |
1.2%
|
| 11 | Ebonyi | 10472 |
3.5%
|
| 12 | Edo | 6491 |
2.2%
|
| 13 | Ekiti | 8498 |
2.8%
|
| 14 | Enugu | 10081 |
3.4%
|
| 15 | Gombe | 9034 |
3%
|
| 16 | Imo | 7282 |
2.4%
|
| 17 | Jigawa | 10827 |
3.6%
|
| 18 | Kaduna | 10635 |
3.5%
|
| 19 | Kano | 10793 |
3.6%
|
| 20 | Katsina | 9981 |
3.3%
|
| 21 | Kebbi | 9912 |
3.3%
|
| 22 | Kogi | 1256 |
0.4%
|
| 23 | Kwara | 589 |
0.2%
|
| 24 | Lagos | 1606 |
0.5%
|
| 25 | Nassarawa | 8310 |
2.8%
|
| 26 | Niger | 8442 |
2.8%
|
| 27 | Ogun | 10398 |
3.5%
|
| 28 | Ondo | 9390 |
3.1%
|
| 29 | Osun | 10599 |
3.5%
|
| 30 | Oyo | 10060 |
3.4%
|
| 31 | Plateau | 9686 |
3.2%
|
| 32 | Rivers | 6208 |
2.1%
|
| 33 | Sokoto | 4582 |
1.5%
|
| 34 | Taraba | 9545 |
3.2%
|
| 35 | Yobe | 11534 |
3.8%
|
| 36 | Zamfara | 4724 |
1.6%
|
| 37 | Fct | 4011 |
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.