SEN_2018_FIES_v01_EN_M_v01_A_OCS
DDI_SEN_2018_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
SEN_2018_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
SEN_2018_FIES_v01_EN_M_v01_A_OCS
FAO Statistics Division
Nesstar Publisher
FAO Statistics Division
Socio-Economic/Monitoring Survey [hh/sems]
Food Insecurity
SDG
SDGs
Food Access
Senegal
National
Individuals
Individuals of 15 years or older.
Sample survey data [ssd]
Last 12 months.
Face-to-face par [f2f]
Statistical validation assesses the quality of the FIES data collected by testing their consistency with the assumptions of the Rasch model. This analysis involves the interpretation of several statistics that reveal 1) items that do not perform well in a given context, 2) cases with highly erratic response patterns, 3) pairs of items that may be redundant, and 4) the proportion of total variance in the population that is accounted for by the measurement model.
As part of the statistical disclosure control process, values for number of children and number of adults that were 10 or above, were recoded as "10+" and categories for area were combined into "urban/suburbs" and "towns/rural".
The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
SEN_2018_FIES_v01_EN_M_v01_A_OCS.NSDstat
This dataset contains the variables used to calculate the FIES-based indicator, deomographic variables and some derived variables calculated by FAO from the survey.
1000
23
Nesstar 200801
Unique respondent identifier
1000
0
111171262
211024413
159237729.417
29195885.348
Worried you would not have enough food to eat because of a lack of money or other resources
983
17
0
No
585
1
Yes
398
Sysmiss
17
Unable to eat healthy and nutritious food because of a lack of money or other resources
984
16
0
No
647
1
Yes
337
Sysmiss
16
Ate only a few kinds of foods because of a lack of money or other resources
982
18
0
No
631
1
Yes
351
Sysmiss
18
Skipped a meal because there was not enough money or other resources to get food
982
18
0
No
732
1
Yes
250
Sysmiss
18
Ate less than you thought you should because of a lack of money or other resources
976
24
0
No
621
1
Yes
355
Sysmiss
24
Household ran out of food because of a lack of money or other resources
981
19
0
No
694
1
Yes
287
Sysmiss
19
Hungry but did not eat because there was not enough money or other resources for food?
974
26
0
No
710
1
Yes
264
Sysmiss
26
Went without eating for a whole day because of a lack of money or other resources?
986
14
0
No
845
1
Yes
141
Sysmiss
14
Post-stratification sampling weights
1000
0
0.278
2.289
1
0.574
Year when the GWP was administered in the country
1000
0
1
1
1000
Sysmiss
0
Number of adults 15 years of age and above in household
1000
0
01
01
26
02
02
166
03
03
201
04
04
178
05
05
177
06
06
96
07
07
60
08
08
41
09
09
17
10
10+
38
Sysmiss
0
Number of children under 15 years of age in household
999
1
00
00
73
01
01
96
02
02
176
03
03
192
04
04
138
05
05
123
06
06
79
07
07
53
08
08
25
09
09
10
10
10+
34
Sysmiss
1
Sum of Affirmative responses to FIES questions
928
72
0
8
2.483
2.81
Estimated person parameters using the Rasch model
928
72
-3.416
3.677
-1.336
2.353
Estimated person parameter errors using the Rasch model
928
72
0.846
1.631
1.325
0.322
Probability of being moderately or severely food insecure
928
72
0
0.993
0.327
0.412
Probability of being severely food insecure
928
72
0
0.865
0.134
0.265
Age of the respondent
1000
0
15
100
33.953
16.171
Education of the respondent
1000
0
1
Elementary_or_less
550
2
Secondary
417
3
College
30
4
Dont_know
3
5
Refused
0
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
350
2
Towns/Rural
650
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
558
2
Female
442
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
176
2
Second_20%
160
3
Middle_20%
179
4
Fourth_20%
193
5
Richest_20%
292
Sysmiss
0