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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NGA_2006_PFLP_V01_EN_M_V01_A_OCS / variable [F02]
agricultural-surveys

Private Farmer Livestock-Poultry 2006

Nigeria, 2007
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Reference ID
NGA_2006_PFLP_v01_EN_M_v01_A_OCS
Producer(s)
National Bureau of Statistics (NBS)
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 17, 2019
Last modified
Jul 17, 2019
Page views
67425
Downloads
248
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • Household ID
    and ICT
  • Types of
    Livestock
  • Input
    utilization
  • Sources of
    Livestock Input
  • Employment
  • Changes in
    stock
  • Sales of
    Livestock
    Products
  • Sources of
    funds
  • Dairy products
  • Marketing
    problems
  • Processing
    facilities
  • Storage
    Facilities
  • Market channel
  • Compare Season
  • Outlook for
    next season
  • Problems in
    Purchasing
  • Production
    problems
  • storage problem
  • Suggestions
  • Government
    Assistance

State (State)

Data file: Types of Livestock

Overview

Valid: 64518
Invalid: 0
Type: Discrete
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 2006
3.1%
2 Adamawa 1547
2.4%
3 Akwa-ibom 3289
5.1%
4 Anambra 1027
1.6%
5 Bauchi 936
1.5%
6 Bayelsa 0
0%
7 Benue 3237
5%
8 Borno 767
1.2%
9 Cross river 2250
3.5%
10 Delta 26
0%
11 Ebonyi 1573
2.4%
12 Edo 2301
3.6%
13 Ekiti 0
0%
14 Enugu 1690
2.6%
15 Gombe 0
0%
16 Imo 26
0%
17 Jigawa 3457
5.4%
18 Kaduna 2663
4.1%
19 Kano 3538
5.5%
20 Katsina 3263
5.1%
21 Kebbi 3878
6%
22 Kogi 1729
2.7%
23 Kwara 2093
3.2%
24 Lagos 26
0%
25 Nasarawa 3536
5.5%
26 Niger 3107
4.8%
27 Ogun 273
0.4%
28 Ondo 1274
2%
29 Osun 299
0.5%
30 Oyo 1300
2%
31 Plateau 3331
5.2%
32 Rivers 1833
2.8%
33 Sokoto 3940
6.1%
34 Taraba 1066
1.7%
35 Yobe 1378
2.1%
36 Zamfara 1547
2.4%
37 Fct abuja 312
0.5%
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.
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