MLT_2016_FIES_v01_EN_M_v01_A_OCS
DDI_MLT_2016_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
MLT_2016_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
MLT_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
Malta
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.
MLT_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.
1011
23
Nesstar 200801
Unique respondent identifier
1011
0
111238634
210816245
162785643.315
28399192.212
Worried you would not have enough food to eat because of a lack of money or other resources
1011
0
0
No
951
1
Yes
60
Sysmiss
0
Unable to eat healthy and nutritious food because of a lack of money or other resources
1011
0
0
No
949
1
Yes
62
Sysmiss
0
Ate only a few kinds of foods because of a lack of money or other resources
1010
1
0
No
941
1
Yes
69
Sysmiss
1
Skipped a meal because there was not enough money or other resources to get food
1011
0
0
No
968
1
Yes
43
Sysmiss
0
Ate less than you thought you should because of a lack of money or other resources
1011
0
0
No
960
1
Yes
51
Sysmiss
0
Household ran out of food because of a lack of money or other resources
1011
0
0
No
966
1
Yes
45
Sysmiss
0
Hungry but did not eat because there was not enough money or other resources for food?
1011
0
0
No
986
1
Yes
25
Sysmiss
0
Went without eating for a whole day because of a lack of money or other resources?
1011
0
0
No
1002
1
Yes
9
Sysmiss
0
Post-stratification sampling weights
1011
0
0.316
3.026
1
0.673
Year when the GWP was administered in the country
1011
0
1
1
1011
Sysmiss
0
Number of adults 15 years of age and above in household
1009
2
01
01
146
02
02
437
03
03
217
04
04
160
05
05
35
06
06
8
07
07
2
08
08
1
09
09
1
10
10+
2
Sysmiss
2
Number of children under 15 years of age in household
1011
0
00
00
715
01
01
165
02
02
108
03
03
21
04
04
1
06
06
1
Sysmiss
0
Sum of Affirmative responses to FIES questions
1010
1
0
8
0.36
1.245
Estimated person parameters using the Rasch model
1010
1
-2.624
2.882
-2.387
0.815
Estimated person parameter errors using the Rasch model
1010
1
0.664
1.226
1.179
0.137
Probability of being moderately or severely food insecure
1010
1
0
0.995
0.045
0.183
Probability of being severely food insecure
1010
1
0
0.794
0.01
0.073
Age of the respondent
1011
0
15
100
49.124
17.913
Education of the respondent
1011
0
1
Elementary_or_less
132
2
Secondary
628
3
College
249
4
Dont_know
2
5
Refused
0
Sysmiss
0
Area
1011
0
1
Urban/Suburbs
345
2
Towns/Rural
648
3
Dont_know
18
4
Refused
0
Sysmiss
0
Gender of the respondent
1011
0
1
Male
473
2
Female
538
Sysmiss
0
Income quintile
1011
0
1
Poorest_20%
143
2
Second_20%
181
3
Middle_20%
203
4
Fourth_20%
224
5
Richest_20%
260
Sysmiss
0