LBY_2017_FIES_v01_EN_M_v01_A_OCS
DDI_LBY_2017_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
LBY_2017_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
LBY_2017_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_2017_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.
1007
23
Nesstar 200801
Unique respondent identifier
1007
0
111149101
210993885
160267460.232
28795895.983
Worried you would not have enough food to eat because of a lack of money or other resources
1005
2
0
No
638
1
Yes
367
Sysmiss
2
Unable to eat healthy and nutritious food because of a lack of money or other resources
1004
3
0
No
681
1
Yes
323
Sysmiss
3
Ate only a few kinds of foods because of a lack of money or other resources
1003
4
0
No
616
1
Yes
387
Sysmiss
4
Skipped a meal because there was not enough money or other resources to get food
1000
7
0
No
666
1
Yes
334
Sysmiss
7
Ate less than you thought you should because of a lack of money or other resources
1004
3
0
No
666
1
Yes
338
Sysmiss
3
Household ran out of food because of a lack of money or other resources
1006
1
0
No
757
1
Yes
249
Sysmiss
1
Hungry but did not eat because there was not enough money or other resources for food?
1003
4
0
No
783
1
Yes
220
Sysmiss
4
Went without eating for a whole day because of a lack of money or other resources?
1005
2
0
No
874
1
Yes
131
Sysmiss
2
Post-stratification sampling weights
1007
0
0.285
2.855
1
0.756
Year when the GWP was administered in the country
1007
0
1
1
1007
Sysmiss
0
Number of adults 15 years of age and above in household
1002
5
01
01
70
02
02
260
03
03
138
04
04
134
05
05
149
06
06
83
07
07
47
08
08
41
09
09
24
10
10+
56
Sysmiss
5
Number of children under 15 years of age in household
1007
0
00
00
354
01
01
139
02
02
167
03
03
135
04
04
106
05
05
51
06
06
26
07
07
11
08
08
6
09
09
2
10
10+
10
Sysmiss
0
Sum of Affirmative responses to FIES questions
991
16
0
8
2.336
2.684
Estimated person parameters using the Rasch model
991
16
-3.599
3.837
-1.529
2.362
Estimated person parameter errors using the Rasch model
991
16
0.896
1.742
1.395
0.35
Probability of being moderately or severely food insecure
991
16
0
0.991
0.294
0.391
Probability of being severely food insecure
991
16
0
0.87
0.12
0.26
Age of the respondent
1007
0
15
75
33.509
10.865
Education of the respondent
1007
0
1
Elementary_or_less
84
2
Secondary
478
3
College
441
4
Dont_know
3
5
Refused
1
Sysmiss
0
Area
1007
0
1
Urban/Suburbs
662
2
Towns/Rural
343
3
Dont_know
2
4
Refused
0
Sysmiss
0
Gender of the respondent
1007
0
1
Male
707
2
Female
300
Sysmiss
0
Income quintile
1007
0
1
Poorest_20%
157
2
Second_20%
169
3
Middle_20%
221
4
Fourth_20%
217
5
Richest_20%
243
Sysmiss
0