Smallholder Household Survey - CGAP, 2016
Côte d'Ivoire, 2016
Get Microdata
Reference ID
CIV_2016_SHS_v01_EN_M_v01_A_OCS
Producer(s)
Jamie Anderson
Collections
Metadata
Created on
Oct 16, 2020
Last modified
Nov 08, 2022
Page views
49784
Downloads
847
- Data files
- SH_CDI_Household
- SH_CDI_Multiple
- SH_CDI_Single
D19. Monthly minimum amount for household's survival (franc) (D19)
Data file: SH_CDI_Household
Overview
Valid:
3019
Invalid:
0
Minimum:
98
Maximum:
5000000
Type:
Discrete
Decimal:
0
Start:
586
End:
592
Width:
7
Range:
98 - 5000000
Format:
Numeric
Questions and instructions
Literal question
Quel est le montant minimum dont-a besoin votre ménage pour vivre par mois (pour les dépenses personnelles)? Je parle du montant qui couvrira seulement vos besoins de base pour la nourriture, le transport, combustible pour cuisiner, et les vêtements.
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 98 | Don’t know | 155 |
5.1%
|
| 1000 | 1 |
0%
|
|
| 2000 | 1 |
0%
|
|
| 3000 | 4 |
0.1%
|
|
| 4000 | 3 |
0.1%
|
|
| 5000 | 17 |
0.6%
|
|
| 7000 | 5 |
0.2%
|
|
| 7500 | 1 |
0%
|
|
| 8000 | 2 |
0.1%
|
|
| 10000 | 69 |
2.3%
|
|
| 11000 | 1 |
0%
|
|
| 11500 | 1 |
0%
|
|
| 12000 | 4 |
0.1%
|
|
| 15000 | 88 |
2.9%
|
|
| 16000 | 2 |
0.1%
|
|
| 17000 | 2 |
0.1%
|
|
| 18000 | 1 |
0%
|
|
| 19000 | 1 |
0%
|
|
| 20000 | 129 |
4.3%
|
|
| 21000 | 1 |
0%
|
|
| 23000 | 1 |
0%
|
|
| 25000 | 89 |
2.9%
|
|
| 30000 | 215 |
7.1%
|
|
| 32000 | 1 |
0%
|
|
| 34000 | 1 |
0%
|
|
| 35000 | 59 |
2%
|
|
| 37000 | 1 |
0%
|
|
| 40000 | 125 |
4.1%
|
|
| 45000 | 67 |
2.2%
|
|
| 48000 | 1 |
0%
|
|
| 49000 | 1 |
0%
|
|
| 50000 | 410 |
13.6%
|
|
| 52000 | 1 |
0%
|
|
| 53000 | 1 |
0%
|
|
| 55000 | 9 |
0.3%
|
|
| 60000 | 184 |
6.1%
|
|
| 63000 | 1 |
0%
|
|
| 65000 | 9 |
0.3%
|
|
| 70000 | 98 |
3.2%
|
|
| 75000 | 71 |
2.4%
|
|
| 78000 | 1 |
0%
|
|
| 80000 | 105 |
3.5%
|
|
| 85000 | 4 |
0.1%
|
|
| 90000 | 34 |
1.1%
|
|
| 95000 | 1 |
0%
|
|
| 100000 | 435 |
14.4%
|
|
| 100008 | 1 |
0%
|
|
| 105000 | 3 |
0.1%
|
|
| 110000 | 5 |
0.2%
|
|
| 115000 | 2 |
0.1%
|
|
| 120000 | 31 |
1%
|
|
| 125000 | 7 |
0.2%
|
|
| 130000 | 9 |
0.3%
|
|
| 135000 | 1 |
0%
|
|
| 140000 | 2 |
0.1%
|
|
| 150000 | 230 |
7.6%
|
|
| 160000 | 1 |
0%
|
|
| 170000 | 2 |
0.1%
|
|
| 175000 | 1 |
0%
|
|
| 180000 | 2 |
0.1%
|
|
| 188000 | 1 |
0%
|
|
| 200000 | 138 |
4.6%
|
|
| 210000 | 1 |
0%
|
|
| 230000 | 1 |
0%
|
|
| 250000 | 35 |
1.2%
|
|
| 270000 | 1 |
0%
|
|
| 300000 | 42 |
1.4%
|
|
| 320000 | 1 |
0%
|
|
| 325000 | 1 |
0%
|
|
| 350000 | 10 |
0.3%
|
|
| 400000 | 8 |
0.3%
|
|
| 450000 | 2 |
0.1%
|
|
| 500000 | 39 |
1.3%
|
|
| 600000 | 3 |
0.1%
|
|
| 700000 | 2 |
0.1%
|
|
| 850000 | 1 |
0%
|
|
| 1000000 | 11 |
0.4%
|
|
| 1800000 | 1 |
0%
|
|
| 2000000 | 4 |
0.1%
|
|
| 3000000 | 3 |
0.1%
|
|
| 5000000 | 4 |
0.1%
|
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.