LBY_2018_FIES_v01_EN_M_v01_A_OCS
DDI_LBY_2018_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
LBY_2018_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
LBY_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
Libya
National
Individuals
Individuals of 15 years or older.
Sample survey data [ssd]
Last 12 months.
Computer Assisted Telephone Interview [cati]
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.
LBY_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.
1004
23
Nesstar 200801
Unique respondent identifier
1004
0
111271172
211077775
162341341.556
28820564.306
Worried you would not have enough food to eat because of a lack of money or other resources
1003
1
0
No
646
1
Yes
357
Sysmiss
1
Unable to eat healthy and nutritious food because of a lack of money or other resources
999
5
0
No
682
1
Yes
317
Sysmiss
5
Ate only a few kinds of foods because of a lack of money or other resources
1000
4
0
No
617
1
Yes
383
Sysmiss
4
Skipped a meal because there was not enough money or other resources to get food
1002
2
0
No
666
1
Yes
336
Sysmiss
2
Ate less than you thought you should because of a lack of money or other resources
1001
3
0
No
669
1
Yes
332
Sysmiss
3
Household ran out of food because of a lack of money or other resources
1003
1
0
No
710
1
Yes
293
Sysmiss
1
Hungry but did not eat because there was not enough money or other resources for food?
1004
0
0
No
773
1
Yes
231
Sysmiss
0
Went without eating for a whole day because of a lack of money or other resources?
1001
3
0
No
852
1
Yes
149
Sysmiss
3
Post-stratification sampling weights
1004
0
0.31
3.303
1
0.844
Year when the GWP was administered in the country
1004
0
1
1
1004
Sysmiss
0
Number of adults 15 years of age and above in household
1002
2
01
01
50
02
02
237
03
03
150
04
04
146
05
05
127
06
06
91
07
07
76
08
08
53
09
09
16
10
10+
56
Sysmiss
2
Number of children under 15 years of age in household
1004
0
00
00
358
01
01
120
02
02
153
03
03
155
04
04
96
05
05
59
06
06
22
07
07
18
08
08
6
09
09
6
10
10+
11
Sysmiss
0
Sum of Affirmative responses to FIES questions
989
15
0
8
2.384
2.745
Estimated person parameters using the Rasch model
989
15
-3.599
3.837
-1.487
2.417
Estimated person parameter errors using the Rasch model
989
15
0.896
1.742
1.403
0.348
Probability of being moderately or severely food insecure
989
15
0
0.991
0.302
0.4
Probability of being severely food insecure
989
15
0
0.87
0.128
0.265
Age of the respondent
1004
0
15
100
33.469
11.058
Education of the respondent
1004
0
1
Elementary_or_less
55
2
Secondary
448
3
College
494
4
Dont_know
4
5
Refused
3
Sysmiss
0
Area
1004
0
1
(Refused)
1
2
Urban/Suburbs
524
3
Towns/Rural
338
4
Dont_know
141
5
Refused
0
Sysmiss
0
Gender of the respondent
1004
0
1
Male
696
2
Female
308
Sysmiss
0
Income quintile
1004
0
1
Poorest_20%
150
2
Second_20%
177
3
Middle_20%
191
4
Fourth_20%
214
5
Richest_20%
272
Sysmiss
0