SVN_2015_FIES_v01_EN_M_v01_A_OCS
DDI_SVN_2015_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
SVN_2015_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
SVN_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
Slovenia
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.
SVN_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.
1002
23
Nesstar 200801
Unique respondent identifier
1002
0
111304108
211060386
161346343.188
28833268.369
Worried you would not have enough food to eat because of a lack of money or other resources
1000
2
0
No
864
1
Yes
136
Sysmiss
2
Unable to eat healthy and nutritious food because of a lack of money or other resources
998
4
0
No
828
1
Yes
170
Sysmiss
4
Ate only a few kinds of foods because of a lack of money or other resources
996
6
0
No
793
1
Yes
203
Sysmiss
6
Skipped a meal because there was not enough money or other resources to get food
1001
1
0
No
920
1
Yes
81
Sysmiss
1
Ate less than you thought you should because of a lack of money or other resources
1000
2
0
No
889
1
Yes
111
Sysmiss
2
Household ran out of food because of a lack of money or other resources
1001
1
0
No
956
1
Yes
45
Sysmiss
1
Hungry but did not eat because there was not enough money or other resources for food?
998
4
0
No
952
1
Yes
46
Sysmiss
4
Went without eating for a whole day because of a lack of money or other resources?
1001
1
0
No
964
1
Yes
37
Sysmiss
1
Post-stratification sampling weights
1002
0
0.346
3.365
1
0.743
Year when the GWP was administered in the country
1002
0
1
1
1002
Sysmiss
0
Number of adults 15 years of age and above in household
1000
2
01
01
206
02
02
348
03
03
175
04
04
168
05
05
66
06
06
29
07
07
4
08
08
3
10
10+
1
Sysmiss
2
Number of children under 15 years of age in household
1001
1
00
00
687
01
01
157
02
02
116
03
03
29
04
04
9
05
05
2
06
06
1
Sysmiss
1
Sum of Affirmative responses to FIES questions
990
12
0
8
0.817
1.725
Estimated person parameters using the Rasch model
990
12
-1.925
1.719
-1.551
0.786
Estimated person parameter errors using the Rasch model
990
12
0.442
0.738
0.677
0.108
Probability of being moderately or severely food insecure
990
12
0
0.998
0.1
0.261
Probability of being severely food insecure
990
12
0
0.416
0.006
0.044
Age of the respondent
1002
0
15
100
50.399
18.048
Education of the respondent
1002
0
1
Elementary_or_less
100
2
Secondary
849
3
College
50
4
Dont_know
3
5
Refused
0
Sysmiss
0
Area
1002
0
1
(Refused)
2
2
Urban/Suburbs
303
3
Towns/Rural
686
4
Dont_know
11
5
Refused
0
Sysmiss
0
Gender of the respondent
1002
0
1
Male
481
2
Female
521
Sysmiss
0
Income quintile
1002
0
1
Poorest_20%
137
2
Second_20%
176
3
Middle_20%
194
4
Fourth_20%
234
5
Richest_20%
261
Sysmiss
0