National Agricultural Sample Census Pilot (Private Farmer) Livestock and Poultry 2007
Round 2
Nigeria, 2007
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Reference ID
NGA_2007_NASC-LIVESTOCK-R2_v01_M_v01_A_ESS
Producer(s)
National Bureau of Statistics
Metadata
Created on
Oct 30, 2024
Last modified
Oct 30, 2024
Page views
891
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6
- 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: Poultry Input
Overview
Valid:
100
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
44
End:
55
Width:
12
Range:
-
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 4 401 7 7 | 1 |
1%
|
| 2 | 4 401 44 44 | 4 |
4%
|
| 3 | 4 402 18 18 | 3 |
3%
|
| 4 | 4 403 8 8 | 1 |
1%
|
| 5 | 4 403 24 24 | 1 |
1%
|
| 6 | 4 403 45 45 | 3 |
3%
|
| 7 | 4 404 11 11 | 4 |
4%
|
| 8 | 6 602 24 25 | 1 |
1%
|
| 9 | 6 602 25 26 | 3 |
3%
|
| 10 | 6 602 37 37 | 1 |
1%
|
| 11 | 6 603 1 1 | 4 |
4%
|
| 12 | 6 603 5 5 | 2 |
2%
|
| 13 | 7 703 38 38 | 1 |
1%
|
| 14 | 7 704 6 6 | 1 |
1%
|
| 15 | 7 704 23 23 | 1 |
1%
|
| 16 | 7 704 40 40 | 1 |
1%
|
| 17 | 9 902 26 26 | 3 |
3%
|
| 18 | 111101 10 10 | 2 |
2%
|
| 19 | 111101 32 32 | 2 |
2%
|
| 20 | 111101 54 54 | 2 |
2%
|
| 21 | 111103 2 4 | 2 |
2%
|
| 22 | 111103 17 19 | 2 |
2%
|
| 23 | 111103 33 35 | 2 |
2%
|
| 24 | 111104 12 12 | 1 |
1%
|
| 25 | 111104 25 25 | 1 |
1%
|
| 26 | 111104 34 34 | 1 |
1%
|
| 27 | 151502 37 39 | 1 |
1%
|
| 28 | 151502127129 | 2 |
2%
|
| 29 | 151503 26 26 | 1 |
1%
|
| 30 | 151503 55 55 | 1 |
1%
|
| 31 | 151503 84 84 | 1 |
1%
|
| 32 | 151504 43 43 | 1 |
1%
|
| 33 | 151504 75 75 | 1 |
1%
|
| 34 | 171701 14 14 | 1 |
1%
|
| 35 | 171701 26 26 | 1 |
1%
|
| 36 | 171701 39 39 | 1 |
1%
|
| 37 | 171703 20 35 | 3 |
3%
|
| 38 | 171704 56 71 | 1 |
1%
|
| 39 | 262601 9 9 | 1 |
1%
|
| 40 | 262601 15 15 | 1 |
1%
|
| 41 | 262602 4 4 | 1 |
1%
|
| 42 | 262603 11 13 | 3 |
3%
|
| 43 | 282801 14 14 | 1 |
1%
|
| 44 | 282801 41 11 | 1 |
1%
|
| 45 | 282801 56 17 | 1 |
1%
|
| 46 | 282802 13 13 | 3 |
3%
|
| 47 | 282802 30 30 | 1 |
1%
|
| 48 | 292901 4 4 | 1 |
1%
|
| 49 | 292901 13 13 | 1 |
1%
|
| 50 | 292902 12 12 | 1 |
1%
|
| 51 | 292902 21 21 | 1 |
1%
|
| 52 | 292903 6 6 | 1 |
1%
|
| 53 | 292903 14 14 | 1 |
1%
|
| 54 | 292903 21 21 | 1 |
1%
|
| 55 | 292904 10 10 | 1 |
1%
|
| 56 | 292904 16 16 | 1 |
1%
|
| 57 | 353501 7 7 | 1 |
1%
|
| 58 | 353502 17 17 | 1 |
1%
|
| 59 | 353502 35 35 | 1 |
1%
|
| 60 | 353502 53 53 | 1 |
1%
|
| 61 | 353503 10 10 | 1 |
1%
|
| 62 | 353503 35 35 | 1 |
1%
|
| 63 | 353503 60 60 | 1 |
1%
|
| 64 | 353504 29 29 | 1 |
1%
|
| 65 | 353504 59 59 | 1 |
1%
|
| 66 | 353504 89 89 | 1 |
1%
|
| 67 | 363601 18 18 | 1 |
1%
|
| 68 | 363602 14 14 | 1 |
1%
|
| 69 | 363603 12 12 | 1 |
1%
|
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
Derivation
Computed Identification