Private farmer-Crop-2006
Third edition
Nigeria, 2007
Reference ID
NGA-NBS-CROP-2006-v1.0
Producer(s)
National Bureau of Statistics (NBS),
Metadata
Created on
Oct 18, 2010
Last modified
Dec 02, 2013
Page views
430995
Downloads
167650
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.