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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NGA_2006_PFLP_V01_EN_M_V01_A_OCS / variable [F05]
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
62136
Downloads
230
  • 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: Employment

Overview

Valid: 17959
Invalid: 0
Minimum: 1
Maximum: 37
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 616
3.4%
2 Adamawa 268
1.5%
3 Akwa ibom 988
5.5%
4 Anambra 312
1.7%
5 Bauchi 136
0.8%
6 Bayelsa 0
0%
7 Benue 781
4.3%
8 Borno 148
0.8%
9 Cross river 680
3.8%
10 Delta 8
0%
11 Ebonyi 472
2.6%
12 Edo 692
3.9%
13 Ekiti 0
0%
14 Enugu 508
2.8%
15 Gombe 0
0%
16 Imo 8
0%
17 Jigawa 1020
5.7%
18 Kaduna 784
4.4%
19 Kano 1008
5.6%
20 Katsina 976
5.4%
21 Kebbi 1148
6.4%
22 Kogi 525
2.9%
23 Kwara 622
3.5%
24 Lagos 8
0%
25 Nasarawa 1078
6%
26 Niger 683
3.8%
27 Ogun 84
0.5%
28 Ondo 392
2.2%
29 Osun 92
0.5%
30 Oyo 400
2.2%
31 Plateau 918
5.1%
32 Rivers 560
3.1%
33 Sokoto 1120
6.2%
34 Taraba 192
1.1%
35 Yobe 204
1.1%
36 Zamfara 436
2.4%
37 Fct 92
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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