LBY_2016_FIES_v01_EN_M_v01_A_OCS
DDI_LBY_2016_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
LBY_2016_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
LBY_2016_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_2016_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.
1001
23
Nesstar 200801
Unique respondent identifier
1001
0
111131899
211083073
161716764.754
28635264.35
Worried you would not have enough food to eat because of a lack of money or other resources
1001
0
0
No
658
1
Yes
343
Sysmiss
0
Unable to eat healthy and nutritious food because of a lack of money or other resources
998
3
0
No
740
1
Yes
258
Sysmiss
3
Ate only a few kinds of foods because of a lack of money or other resources
999
2
0
No
646
1
Yes
353
Sysmiss
2
Skipped a meal because there was not enough money or other resources to get food
1000
1
0
No
727
1
Yes
273
Sysmiss
1
Ate less than you thought you should because of a lack of money or other resources
1000
1
0
No
718
1
Yes
282
Sysmiss
1
Household ran out of food because of a lack of money or other resources
1000
1
0
No
792
1
Yes
208
Sysmiss
1
Hungry but did not eat because there was not enough money or other resources for food?
1001
0
0
No
843
1
Yes
158
Sysmiss
0
Went without eating for a whole day because of a lack of money or other resources?
1001
0
0
No
912
1
Yes
89
Sysmiss
0
Post-stratification sampling weights
1001
0
0.316
3.186
1
0.871
Year when the GWP was administered in the country
1001
0
1
1
1001
Sysmiss
0
Number of adults 15 years of age and above in household
995
6
01
01
51
02
02
295
03
03
116
04
04
158
05
05
101
06
06
85
07
07
74
08
08
45
09
09
12
10
10+
58
Sysmiss
6
Number of children under 15 years of age in household
1001
0
00
00
330
01
01
157
02
02
169
03
03
147
04
04
97
05
05
50
06
06
21
07
07
8
08
08
7
09
09
2
10
10+
13
Sysmiss
0
Sum of Affirmative responses to FIES questions
995
6
0
8
1.961
2.437
Estimated person parameters using the Rasch model
995
6
-3.599
3.837
-1.865
2.133
Estimated person parameter errors using the Rasch model
995
6
0.896
1.742
1.402
0.354
Probability of being moderately or severely food insecure
995
6
0
0.991
0.242
0.357
Probability of being severely food insecure
995
6
0
0.87
0.081
0.215
Age of the respondent
1001
0
15
99
35.237
11.658
Education of the respondent
1001
0
1
Elementary_or_less
68
2
Secondary
491
3
College
440
4
Dont_know
2
5
Refused
0
Sysmiss
0
Area
1001
0
1
(Refused)
2
2
Urban/Suburbs
425
3
Towns/Rural
378
4
Dont_know
196
5
Refused
0
Sysmiss
0
Gender of the respondent
1001
0
1
Male
638
2
Female
363
Sysmiss
0
Income quintile
1001
0
1
Poorest_20%
137
2
Second_20%
186
3
Middle_20%
185
4
Fourth_20%
221
5
Richest_20%
272
Sysmiss
0