HUN_2019_FIES_v01_EN_M_v01_A_OCS
DDI_HUN_2019_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
HUN_2019_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
HUN_2019_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".
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_2019_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.
1080
23
Nesstar 200801
Unique respondent identifier
1080
0
111135885
211004114
161287026.824
29410749.752
Worried you would not have enough food to eat because of a lack of money or other resources
1080
0
0
No
928
1
Yes
152
Sysmiss
0
Unable to eat healthy and nutritious food because of a lack of money or other resources
1079
1
0
No
963
1
Yes
116
Sysmiss
1
Ate only a few kinds of foods because of a lack of money or other resources
1075
5
0
No
942
1
Yes
133
Sysmiss
5
Skipped a meal because there was not enough money or other resources to get food
1080
0
0
No
1034
1
Yes
46
Sysmiss
0
Ate less than you thought you should because of a lack of money or other resources
1080
0
0
No
1011
1
Yes
69
Sysmiss
0
Household ran out of food because of a lack of money or other resources
1079
1
0
No
1015
1
Yes
64
Sysmiss
1
Hungry but did not eat because there was not enough money or other resources for food?
1079
1
0
No
1028
1
Yes
51
Sysmiss
1
Went without eating for a whole day because of a lack of money or other resources?
1079
1
0
No
1058
1
Yes
21
Sysmiss
1
Post-stratification sampling weights
1080
0
0.263
2.63
1
0.678
Year when the GWP was administered in the country
1080
0
1
1
1080
Sysmiss
0
Number of adults 15 years of age and above in household
1080
0
01
01
484
02
02
442
03
03
100
04
04
44
05
05
5
06
06
2
07
07
1
08
08
2
Sysmiss
0
Number of children under 15 years of age in household
1080
0
00
00
882
01
01
93
02
02
76
03
03
19
04
04
8
05
05
1
10
10+
1
Sysmiss
0
Sum of Affirmative responses to FIES questions
1071
9
0
8
0.6
1.607
Estimated person parameters using the Rasch model
1071
9
-1.935
2.219
-1.645
0.796
Estimated person parameter errors using the Rasch model
1071
9
0.463
0.753
0.716
0.088
Probability of being moderately or severely food insecure
1071
9
0
1
0.075
0.235
Probability of being severely food insecure
1071
9
0
0.676
0.014
0.087
Age of the respondent
1080
0
15
100
56.618
18.607
Education of the respondent
1080
0
1
Elementary_or_less
264
2
Secondary
652
3
College
163
4
Dont_know
0
5
Refused
1
Sysmiss
0
Area
1080
0
1
Urban/Suburbs
443
2
Towns/Rural
637
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1080
0
1
Male
440
2
Female
640
Sysmiss
0
Income quintile
1080
0
1
Poorest_20%
168
2
Second_20%
224
3
Middle_20%
244
4
Fourth_20%
235
5
Richest_20%
209
Sysmiss
0