Nigeria - National Agricultural Sample Census Pilot (Private Farmer) Livestock And Poultry-2007, Second round
Reference ID | NGA-NACSPILOT-LIVESTOCK POULTRY-2007-v1.0 |
Year | 2007 |
Country | Nigeria |
Producer(s) | NAtional Bureau of Statistics(NBS) - Federal Government of Nigeria(FGN) |
Sponsor(s) | Federal Government of Nigeria - FGN - Funding Food and Agricultural Organisation - FAO - Funding United State Department of Authority - USDA - Funding Depatment for International Development - DFID - Funding World Bank - WB - Funding< |
Metadata | Download DDI Download RDF |
Created on | Oct 18, 2010 |
Last modified | Dec 02, 2013 |
Page views | 538198 |
Downloads | 18774 |
- Identification
- Type of Livestock
- Type of Poultry Kept
- Poultry Input
- Input Utilization Li
vestock - Input Utilization Po
ultry - Employment
- Changes in Stock (Li
vestock) qtr1 - Chnges in Stock (Liv
estock) qtr2 - Changes in Stock (Li
vestock) qtr3 - Changes in Stock (Li
vestock) qtr4 - Changes in Stock Pou
ltry 1 qtr - Changes in Stock Pou
ltry 2 qtr - Changes in Stock Pou
ltry 3 qtr - Changes in Stock Pou
ltry 4 qtr - Suffer Poultry Bird
Flu - Losses surfer Poultr
y Bird Flu - Pests Livestock Dise
ases - Loses Sufer Livestoc
k Diseases - Do you get subsidy
- Sales of Livestock
- Sales of Poultry
- Sales of Poultry Dai
ry - Sales of Produce
- Sources of funds
- Processing Facilitie
s - Preservation Method
- Export Produce
- Current livestock fa
rming season with th
e previous one - Expectations for liv
estock activities in
the next farming se
ason - Purchasing Inputs Pr
oblem - Purchasing tools Pro
blem - Production Processin
g Problem - Processing and Stora
ge Problem - Suggestion
- Governmemt assistanc
e - Access to any of the
following ICT facil
ities - Do you own any of th
e following ICT faci
lities
Variable Groups
State
(State)
File: Governmemt assistance
File: Governmemt assistance
Overview
Type:
Discrete Format: numeric Width: 2 Decimals: 0 Range: 1-37 | Valid cases: 142 Invalid: 0 Minimum: 4 Maximum: 36 |
Categories
Value | Category | Cases | |
---|---|---|---|
1 | Abia | 0 | 0.0% |
2 | Adamawa | 0 | 0.0% |
3 | Akwa ibom | 0 | 0.0% |
4 | Anambra | 12 | 8.5% |
5 | Bauchi | 0 | 0.0% |
6 | Bayelsa | 10 | 7.0% |
7 | Benue | 12 | 8.5% |
8 | Borno | 0 | 0.0% |
9 | Cross river | 12 | 8.5% |
10 | Delta | 0 | 0.0% |
11 | Ebonyi | 12 | 8.5% |
12 | Edo | 0 | 0.0% |
13 | Ekiti | 0 | 0.0% |
14 | Enugu | 0 | 0.0% |
15 | Gombe | 12 | 8.5% |
16 | Imo | 0 | 0.0% |
17 | Jigawa | 12 | 8.5% |
18 | Kaduna | 0 | 0.0% |
19 | Kano | 0 | 0.0% |
20 | Katsina | 0 | 0.0% |
21 | Kebbi | 0 | 0.0% |
22 | Kogi | 0 | 0.0% |
23 | Kwara | 0 | 0.0% |
24 | Lagos | 0 | 0.0% |
25 | Nasarawa | 0 | 0.0% |
26 | Niger | 12 | 8.5% |
27 | Ogun | 0 | 0.0% |
28 | Ondo | 12 | 8.5% |
29 | Osun | 12 | 8.5% |
30 | Oyo | 0 | 0.0% |
31 | Plateau | 0 | 0.0% |
32 | Rivers | 0 | 0.0% |
33 | Sokoto | 0 | 0.0% |
34 | Taraba | 0 | 0.0% |
35 | Yobe | 12 | 8.5% |
36 | Zamfara | 12 | 8.5% |
37 | Fct | 0 | 0.0% |
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.
Questions and instructions
State Name Code