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    Home / Central Data Catalog / NGA-NBS-CROP-2006-V1.0 / variable [V2005]
central

Private farmer-Crop-2006
Third edition

Nigeria, 2007
Reference ID
NGA-NBS-CROP-2006-v1.0
Producer(s)
National Bureau of Statistics (NBS),
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 18, 2010
Last modified
Dec 02, 2013
Page views
392463
Downloads
167650
  • Study Description
  • Data Dictionary
  • Get Microdata
  • Data files
  • Area and
    Production
  • Employment 1st
    qrt
  • Employment 2nd
    qrt
  • Employment 3rd
    qrt
  • Employment 4th
    qrt
  • Household id
    and ict
  • Market channel
  • Own storage
    facilities
  • Problems
    encounter
  • Production
    problem
  • Storage problem

State (State)

Data file: Employment 2nd qrt

Overview

Valid: 17815
Valid (weighted): 20520538.63
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Decimal: 0
Start: 1
End: 2
Width: 2
Range: 1 - 37
Format: Numeric
Weighted variable: V1274

Questions and instructions

Literal question
State
Categories
Value Category Cases Weighted
1 Abia 693 720624
3.5%
2 Adamawa 306 346011
1.7%
3 Akwa ibom 354 580156
2.8%
4 Anambra 240 562620
2.7%
5 Bauchi 824 1063495
5.2%
6 Bayelsa 456 96924
0.5%
7 Benue 425 688332
3.4%
8 Borno 460 707877
3.4%
9 Cross_rivers 285 314544
1.5%
10 Delta 558 545711
2.7%
11 Ebonyi 615 501429
2.4%
12 Edo 477 358535
1.7%
13 Ekiti 303 121853
0.6%
14 Enugu 714 828906
4%
15 Gombe 90 108588
0.5%
16 Imo 801 1008525
4.9%
17 Jigawa 468 492591
2.4%
18 Kaduna 546 956202
4.7%
19 Kano 441 1535736
7.5%
20 Katsina 630 1368664
6.7%
21 Kebbi 663 479258
2.3%
22 Kogi 627 519740
2.5%
23 Kwara 618 305123
1.5%
24 Lagos 3 9274
0%
25 Nassarawa 771 464643
2.3%
26 Niger 678 698603
3.4%
27 Ogun 399 260052
1.3%
28 Ondo 270 233343
1.1%
29 Osun 24 18609
0.1%
30 Oyo 288 380564
1.9%
31 Plateau 747 799970
3.9%
32 Rivers 441 943354
4.6%
33 Sokoto 522 804967
3.9%
34 Taraba 762 489649
2.4%
35 Yobe 498 412630
2%
36 Zamfara 716 653468
3.2%
37 Fct 102 139968
0.7%
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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