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
1498501
Downloads
75770
- 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
Main occupation code were most of the time is spent (Occode)
Data file: Screeening questions and list of occupations in the past 12 months
Overview
Valid:
44157
Invalid:
48453
Minimum:
0
Maximum:
99
Type:
Continuous
Decimal:
0
Start:
35
End:
36
Width:
2
Range:
0 - 99
Format:
Numeric
Questions and instructions
Literal question
During the past 12 months, what kind of work did you spend most of your time on?
(IF ECONOMIC INACTIVE e.g.. STUDENTS ETC.)
(IF ECONOMIC INACTIVE e.g.. STUDENTS ETC.)
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | Student or retired | 7216 |
16.3%
|
| 1 | Physical scient | 26 |
0.1%
|
| 2 | Archietects | 44 |
0.1%
|
| 3 | Engineers relate | 35 |
0.1%
|
| 4 | Aircraft & shop | 9 |
0%
|
| 5 | Life scientists | 5 |
0%
|
| 6 | Medical, dental | 95 |
0.2%
|
| 7 | Prof. Nurses | 83 |
0.2%
|
| 8 | Stat. Maths, s/a | 19 |
0%
|
| 9 | Eonomist | 12 |
0%
|
| 11 | Accountants | 71 |
0.2%
|
| 12 | Jurists lawyer | 30 |
0.1%
|
| 13 | Teachers | 926 |
2.1%
|
| 14 | Workers in relig | 156 |
0.4%
|
| 15 | Authors, journal | 11 |
0%
|
| 16 | Sculptors,painte | 45 |
0.1%
|
| 17 | Composers | 8 |
0%
|
| 18 | Athletes sport | 13 |
0%
|
| 19 | Prof. Technical | 134 |
0.3%
|
| 20 | Legislative off. | 41 |
0.1%
|
| 21 | Managers farm m. | 14 |
0%
|
| 30 | Clerical related | 377 |
0.9%
|
| 31 | Govt. Executive | 189 |
0.4%
|
| 32 | Stenographers | 36 |
0.1%
|
| 33 | Book_keepers | 33 |
0.1%
|
| 34 | Computing machin | 33 |
0.1%
|
| 35 | Tran. & com. Sup | 208 |
0.5%
|
| 36 | Transport conduc | 122 |
0.3%
|
| 37 | Mail distr. Cler | 19 |
0%
|
| 38 | Telephone & tele | 10 |
0%
|
| 39 | Clericalnot else | 235 |
0.5%
|
| 40 | Managers wholesa | 626 |
1.4%
|
| 41 | Propr wholesales | 3177 |
7.2%
|
| 42 | Sale sup & buyer | 51 |
0.1%
|
| 43 | Tech salesmen | 12 |
0%
|
| 44 | Insurance, reale | 48 |
0.1%
|
| 45 | Salesmen shopast | 206 |
0.5%
|
| 49 | Sales workers | 340 |
0.8%
|
| 50 | Managers caterin | 27 |
0.1%
|
| 51 | Working propriet | 60 |
0.1%
|
| 52 | Housekeeping | 3591 |
8.1%
|
| 53 | Cooks, waiters | 45 |
0.1%
|
| 54 | Maids & related | 77 |
0.2%
|
| 55 | Building caretak | 91 |
0.2%
|
| 56 | Launderers | 27 |
0.1%
|
| 57 | Hairdressers | 150 |
0.3%
|
| 58 | Protective servi | 222 |
0.5%
|
| 59 | Service workers | 352 |
0.8%
|
| 60 | Farmmanagers | 39 |
0.1%
|
| 61 | Farmers | 21562 |
48.8%
|
| 62 | Agricultural | 334 |
0.8%
|
| 63 | Forestry workers | 38 |
0.1%
|
| 64 | Fishermen hunter | 559 |
1.3%
|
| 70 | Prod. Supervisor | 7 |
0%
|
| 71 | Miners quarrymen | 31 |
0.1%
|
| 72 | Metal processors | 25 |
0.1%
|
| 73 | Wood preparation | 41 |
0.1%
|
| 74 | Chem. Processors | 19 |
0%
|
| 75 | Spinners weavers | 208 |
0.5%
|
| 76 | Tanners fishmong | 5 |
0%
|
| 77 | Food & beverage | 219 |
0.5%
|
| 78 | Tobacco prepares | 15 |
0%
|
| 79 | Tailors, d/maker | 460 |
1%
|
| 81 | Cabinetmakers | 71 |
0.2%
|
| 82 | Stone carve | 1 |
0%
|
| 83 | Blacksmith | 40 |
0.1%
|
| 84 | Machinery fitter | 73 |
0.2%
|
| 85 | Electrical fitte | 77 |
0.2%
|
| 86 | Broadcasting st. | 2 |
0%
|
| 87 | Plumbers welders | 87 |
0.2%
|
| 88 | Jewellery | 3 |
0%
|
| 89 | Glass formers | 12 |
0%
|
| 91 | Paper & p/board | 6 |
0%
|
| 92 | Printers | 23 |
0.1%
|
| 93 | Painters | 12 |
0%
|
| 94 | Prod. & related | 20 |
0%
|
| 95 | Bricklayers | 280 |
0.6%
|
| 96 | Stationery engin | 3 |
0%
|
| 97 | Material handlin | 6 |
0%
|
| 98 | Trans. Equipment | 256 |
0.6%
|
| 99 | Labourers | 266 |
0.6%
|
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.