HUN_2017_FIES_v01_EN_M_v01_A_OCS
DDI_HUN_2017_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
HUN_2017_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
HUN_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
Hungary
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_Hungary.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.
HUN_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.
1000
23
Nesstar 200801
Unique respondent identifier
1000
0
111151454
210799565
161603897.842
28367352.101
Worried you would not have enough food to eat because of a lack of money or other resources
995
5
0
No
892
1
Yes
103
Sysmiss
5
Unable to eat healthy and nutritious food because of a lack of money or other resources
991
9
0
No
901
1
Yes
90
Sysmiss
9
Ate only a few kinds of foods because of a lack of money or other resources
999
1
0
No
888
1
Yes
111
Sysmiss
1
Skipped a meal because there was not enough money or other resources to get food
998
2
0
No
964
1
Yes
34
Sysmiss
2
Ate less than you thought you should because of a lack of money or other resources
987
13
0
No
935
1
Yes
52
Sysmiss
13
Household ran out of food because of a lack of money or other resources
997
3
0
No
937
1
Yes
60
Sysmiss
3
Hungry but did not eat because there was not enough money or other resources for food?
997
3
0
No
970
1
Yes
27
Sysmiss
3
Went without eating for a whole day because of a lack of money or other resources?
980
20
0
No
975
1
Yes
5
Sysmiss
20
Post-stratification sampling weights
1000
0
0.3
2.754
1
0.601
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
415
02
02
454
03
03
90
04
04
33
05
05
6
06
06
1
07
07
1
Sysmiss
0
Number of children under 15 years of age in household
999
1
00
00
793
01
01
95
02
02
78
03
03
25
04
04
5
05
05
2
08
08
1
Sysmiss
1
Sum of Affirmative responses to FIES questions
955
45
0
8
0.484
1.378
Estimated person parameters using the Rasch model
955
45
-1.935
2.219
-1.705
0.668
Estimated person parameter errors using the Rasch model
955
45
0.463
0.753
0.718
0.086
Probability of being moderately or severely food insecure
955
45
0
1
0.06
0.21
Probability of being severely food insecure
955
45
0
0.676
0.006
0.055
Age of the respondent
1000
0
15
100
53.836
18.297
Education of the respondent
1000
0
1
Elementary_or_less
236
2
Secondary
610
3
College
154
4
Dont_know
0
5
Refused
0
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
376
2
Towns/Rural
624
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
403
2
Female
597
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
157
2
Second_20%
184
3
Middle_20%
207
4
Fourth_20%
232
5
Richest_20%
220
Sysmiss
0