National Agricultural Sample Census Pilot (Private Farmer) Livestock and Poultry-2007
Nigeria, 2007
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Reference ID
NGA_2007_NASC-LIVESTOCK POULTRY-R2_v01_EN_M_v01_A_ESS
Producer(s)
National Bureau of Statistics
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Metadata
Created on
Feb 13, 2024
Last modified
Feb 13, 2024
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- Data files
-
Do you get
subsidy - Export Produce
-
Governmemt
assistance -
Current
livestock
farming season
with the
previous one - Employment
-
Expectations
for livestock
activities in
the next
farming season -
Sources of
funds -
Access to any
of the
following ICT
facilities - Identification
-
Input
Utilization
Livestock -
Input
Utilization
Poultry -
Type of
Livestock -
Changes in
Stock
(Livestock)
qtr1 -
Chnges in Stock
(Livestock)
qtr2 -
Changes in
Stock
(Livestock)
qtr3 -
Changes in
Stock
(Livestock)
qtr4 -
Losses surfer
Poultry Bird
Flu -
Do you own any
of the
following ICT
facilities -
Pests Livestock
Diseases - Poultry Input
-
Sales of
Poultry Dairy -
Changes in
Stock Poultry 2
qtr -
Changes in
Stock Poultry 3
qtr -
Purchasing
Inputs Problem -
Processing
Facilities -
Production
Processing
Problem -
Processing and
Storage Problem -
Purchasing
tools Problem -
Sales of
Produce -
Sales of
Livestock -
Sales of
Poultry -
Suffer Poultry
Bird Flu - Suggestion
-
Preservation
Method -
Type of Poultry
Kept -
Loses Sufer
Livestock
Diseases -
Changes in
Stock Poultry 4
qtr -
Changes in
Stock Poultry 1
qtr
Computed identification (Id)
Data file: Input Utilization Poultry
Overview
Valid:
82
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
89
End:
100
Width:
12
Range:
-
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 4 401 44 44 | 3 |
3.7%
|
| 2 | 4 402 18 18 | 3 |
3.7%
|
| 3 | 4 403 8 8 | 1 |
1.2%
|
| 4 | 4 403 24 24 | 1 |
1.2%
|
| 5 | 4 403 45 45 | 2 |
2.4%
|
| 6 | 4 404 11 11 | 1 |
1.2%
|
| 7 | 6 602 24 25 | 1 |
1.2%
|
| 8 | 6 602 25 26 | 2 |
2.4%
|
| 9 | 6 602 37 37 | 2 |
2.4%
|
| 10 | 6 603 1 1 | 1 |
1.2%
|
| 11 | 6 603 5 5 | 2 |
2.4%
|
| 12 | 7 704 6 6 | 1 |
1.2%
|
| 13 | 7 704 23 23 | 1 |
1.2%
|
| 14 | 7 704 40 40 | 1 |
1.2%
|
| 15 | 9 902 26 26 | 3 |
3.7%
|
| 16 | 111101 10 10 | 1 |
1.2%
|
| 17 | 111101 32 32 | 1 |
1.2%
|
| 18 | 111101 54 54 | 1 |
1.2%
|
| 19 | 111103 2 4 | 2 |
2.4%
|
| 20 | 111103 17 19 | 2 |
2.4%
|
| 21 | 111103 33 35 | 2 |
2.4%
|
| 22 | 151502 37 39 | 1 |
1.2%
|
| 23 | 151502127129 | 2 |
2.4%
|
| 24 | 151504 10 10 | 1 |
1.2%
|
| 25 | 151504 43 43 | 1 |
1.2%
|
| 26 | 151504 75 75 | 1 |
1.2%
|
| 27 | 171701 14 14 | 1 |
1.2%
|
| 28 | 171701 26 26 | 1 |
1.2%
|
| 29 | 171703 6 8 | 2 |
2.4%
|
| 30 | 171703 20 35 | 2 |
2.4%
|
| 31 | 171704 56 71 | 2 |
2.4%
|
| 32 | 262601 9 9 | 1 |
1.2%
|
| 33 | 262601 15 15 | 1 |
1.2%
|
| 34 | 262602 4 4 | 2 |
2.4%
|
| 35 | 262602 45 45 | 1 |
1.2%
|
| 36 | 262602 86 86 | 1 |
1.2%
|
| 37 | 262603 27 29 | 1 |
1.2%
|
| 38 | 262603 36 42 | 1 |
1.2%
|
| 39 | 282801 14 14 | 1 |
1.2%
|
| 40 | 282801 41 11 | 1 |
1.2%
|
| 41 | 282801 56 17 | 1 |
1.2%
|
| 42 | 282802 13 13 | 1 |
1.2%
|
| 43 | 282802 30 30 | 1 |
1.2%
|
| 44 | 292901 4 4 | 1 |
1.2%
|
| 45 | 292901 13 13 | 1 |
1.2%
|
| 46 | 292902 12 12 | 1 |
1.2%
|
| 47 | 292902 21 21 | 1 |
1.2%
|
| 48 | 292903 14 14 | 1 |
1.2%
|
| 49 | 292904 3 3 | 1 |
1.2%
|
| 50 | 292904 10 10 | 1 |
1.2%
|
| 51 | 292904 16 16 | 1 |
1.2%
|
| 52 | 353501 7 7 | 1 |
1.2%
|
| 53 | 353501 23 23 | 1 |
1.2%
|
| 54 | 353501 39 39 | 1 |
1.2%
|
| 55 | 353502 17 17 | 1 |
1.2%
|
| 56 | 353502 35 35 | 1 |
1.2%
|
| 57 | 353502 53 53 | 1 |
1.2%
|
| 58 | 353503 10 10 | 1 |
1.2%
|
| 59 | 353503 35 35 | 1 |
1.2%
|
| 60 | 353503 60 60 | 1 |
1.2%
|
| 61 | 353504 29 29 | 1 |
1.2%
|
| 62 | 353504 59 59 | 1 |
1.2%
|
| 63 | 353504 89 89 | 1 |
1.2%
|
| 64 | 363601 18 18 | 1 |
1.2%
|
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.
Imputation and derivation
Coder instructions
Computed Identification