National Core Welfare Indicators Survey, 2006
Third edition
Nigeria, 2006
Get MicrodataCreated on
Oct 18, 2010
Last modified
Nov 20, 2024
Page views
371369
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136762
Most important reason for poverty (H901)
Data file: Household data set
Overview
Valid:
77062
Invalid:
0
Type:
Discrete
Start:
269
End:
270
Width:
2
Range:
-
Format:
character
Questions and instructions
Literal question
H.9 What do you think has led your household to be in poverty? [ASK FOR MAIN REASONS]
01 First
01 First
Categories
| Value | Category | Cases | |
|---|---|---|---|
| #. | 4 |
0%
|
|
| '. | 4 |
0%
|
|
| '3 | 1 |
0%
|
|
| '4 | 1 |
0%
|
|
| )6 | 1 |
0%
|
|
| ,6 | 1 |
0%
|
|
| -- | 81 |
0.1%
|
|
| -. | 13 |
0%
|
|
| -7 | 1 |
0%
|
|
| .. | 28283 |
36.7%
|
|
| 0# | 3 |
0%
|
|
| 0' | 3 |
0%
|
|
| 0, | 1 |
0%
|
|
| 0- | 12 |
0%
|
|
| 0. | 4 |
0%
|
|
| 00 | 94 |
0.1%
|
|
| 01 | Cannot afford | 15891 |
20.6%
|
| 02 | Agricultural inputs not availa | 5798 |
7.5%
|
| 03 | Low agricultural production | 2708 |
3.5%
|
| 04 | Drought | 379 |
0.5%
|
| 05 | Lack of adequate land | 787 |
1%
|
| 06 | Low prices for agricultural pr | 1334 |
1.7%
|
| 07 | Lack of market or buyers | 843 |
1.1%
|
| 08 | Lack or loss of cat or oxen due t | 220 |
0.3%
|
| 09 | Lack of capital to start or ex | 3139 |
4.1%
|
| 0= | 1 |
0%
|
|
| 0P | 1 |
0%
|
|
| 1. | 4 |
0%
|
|
| 10 | Lack of capital for business | 2138 |
2.8%
|
| 11 | Lack of credit for agriculture | 678 |
0.9%
|
| 12 | Lack of credit for business | 745 |
1%
|
| 13 | Lack of employment or jobs | 2951 |
3.8%
|
| 14 | Salary or wages too little | 1261 |
1.6%
|
| 15 | Retrenchment or redundancy | 110 |
0.1%
|
| 16 | Prices of commodities too high | 2008 |
2.6%
|
| 17 | Hard economic times or decline | 5261 |
6.8%
|
| 18 | Business not doing well | 928 |
1.2%
|
| 19 | Low profits | 715 |
0.9%
|
| 20 | Too much competition | 145 |
0.2%
|
| 21 | Cultural or religious reasons | 24 |
0%
|
| 22 | Irregular payment of pension | 136 |
0.2%
|
| 23 | Delayed payment of gratuity | 49 |
0.1%
|
| 24 | Other | 274 |
0.4%
|
| 31 | 2 |
0%
|
|
| 41 | 1 |
0%
|
|
| 62 | 1 |
0%
|
|
| 64 | 1 |
0%
|
|
| 7- | 4 |
0%
|
|
| 80 | 1 |
0%
|
|
| 9. | 1 |
0%
|
|
| 91 | 2 |
0%
|
|
| 92 | 1 |
0%
|
|
| N. | 2 |
0%
|
|
| N7 | 1 |
0%
|
|
| P. | 2 |
0%
|
|
| PP | 1 |
0%
|
|
| PY | 1 |
0%
|
|
| RR | 1 |
0%
|
|
| Y. | 1 |
0%
|
|
| Y0 | 2 |
0%
|
|
| Y1 | 1 |
0%
|
|
| ~. | 1 |
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.