LBR_2015_FIES_v01_EN_M_v01_A_OCS
DDI_LBR_2015_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
LBR_2015_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
LBR_2015_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
Liberia
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".
To use updated computed variables, users should merge the external resource NEW_Computed_Variables_Liberia.csv to the original data set through the key Random_ID
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.
LBR_2015_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
111124150
210922649
159622745.651
29189067.759
Worried you would not have enough food to eat because of a lack of money or other resources
996
4
0
No
154
1
Yes
842
Sysmiss
4
Unable to eat healthy and nutritious food because of a lack of money or other resources
998
2
0
No
138
1
Yes
860
Sysmiss
2
Ate only a few kinds of foods because of a lack of money or other resources
997
3
0
No
113
1
Yes
884
Sysmiss
3
Skipped a meal because there was not enough money or other resources to get food
997
3
0
No
152
1
Yes
845
Sysmiss
3
Ate less than you thought you should because of a lack of money or other resources
994
6
0
No
126
1
Yes
868
Sysmiss
6
Household ran out of food because of a lack of money or other resources
991
9
0
No
210
1
Yes
781
Sysmiss
9
Hungry but did not eat because there was not enough money or other resources for food?
998
2
0
No
272
1
Yes
726
Sysmiss
2
Went without eating for a whole day because of a lack of money or other resources?
990
10
0
No
457
1
Yes
533
Sysmiss
10
Post-stratification sampling weights
1000
0
0.349
2.644
1
0.595
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
247
02
02
319
03
03
209
04
04
108
05
05
53
06
06
30
07
07
13
08
08
14
09
09
3
10
10+
4
Sysmiss
0
Number of children under 15 years of age in household
1000
0
00
00
116
01
01
141
02
02
166
03
03
159
04
04
142
05
05
103
06
06
66
07
07
49
08
08
21
09
09
11
10
10+
26
Sysmiss
0
Sum of Affirmative responses to FIES questions
978
22
0
8
6.39
2.442
Estimated person parameters using the Rasch model
978
22
-2.693
3.642
2.131
1.971
Estimated person parameter errors using the Rasch model
978
22
0.724
1.405
1.21
0.246
Probability of being moderately or severely food insecure
978
22
0
0.998
0.861
0.311
Probability of being severely food insecure
978
22
0
0.896
0.598
0.355
Age of the respondent
1000
0
15
100
33.16
13.86
Education of the respondent
1000
0
1
Elementary_or_less
613
2
Secondary
358
3
College
28
4
Dont_know
0
5
Refused
1
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
347
2
Towns/Rural
653
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
439
2
Female
561
Sysmiss
0
Income quintile
0
1000
1
Poorest_20%
0
2
Second_20%
0
3
Middle_20%
0
4
Fourth_20%
0
5
Richest_20%
0
Sysmiss
1000