HRV_2016_FIES_v01_EN_M_v01_A_OCS
DDI_HRV_2016_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
HRV_2016_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
HRV_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
Croatia
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_Croatia.csv to the original data set through the key Random_ID
The variable WHLDAY was not considered in the computation of the published FAO food insecurity indicator based on FIES due to the results of the validation process.
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.
HRV_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.
1000
23
Nesstar 200801
Unique respondent identifier
1000
0
111285618
211063778
161261486.697
28760710.884
Worried you would not have enough food to eat because of a lack of money or other resources
994
6
0
No
889
1
Yes
105
Sysmiss
6
Unable to eat healthy and nutritious food because of a lack of money or other resources
994
6
0
No
908
1
Yes
86
Sysmiss
6
Ate only a few kinds of foods because of a lack of money or other resources
995
5
0
No
894
1
Yes
101
Sysmiss
5
Skipped a meal because there was not enough money or other resources to get food
995
5
0
No
951
1
Yes
44
Sysmiss
5
Ate less than you thought you should because of a lack of money or other resources
996
4
0
No
944
1
Yes
52
Sysmiss
4
Household ran out of food because of a lack of money or other resources
995
5
0
No
965
1
Yes
30
Sysmiss
5
Hungry but did not eat because there was not enough money or other resources for food?
993
7
0
No
971
1
Yes
22
Sysmiss
7
Went without eating for a whole day because of a lack of money or other resources?
973
27
0
No
912
1
Yes
61
Sysmiss
27
Post-stratification sampling weights
1000
0
0.312
3.031
1
0.715
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
197
02
02
372
03
03
232
04
04
160
05
05
31
06
06
8
Sysmiss
0
Number of children under 15 years of age in household
1000
0
00
00
798
01
01
133
02
02
63
03
03
5
04
04
1
Sysmiss
0
Sum of Affirmative responses to FIES questions
959
41
0
8
0.507
1.371
Estimated person parameters using the Rasch model
949
51
-1.958
1.546
-1.752
0.555
Estimated person parameter errors using the Rasch model
949
51
0.477
0.763
0.723
0.09
Probability of being moderately or severely food insecure
949
51
0
0.993
0.047
0.174
Probability of being severely food insecure
949
51
0
0.333
0.002
0.025
Age of the respondent
1000
0
15
87
45.802
19.13
Education of the respondent
1000
0
1
Elementary_or_less
129
2
Secondary
588
3
College
281
4
Dont_know
0
5
Refused
2
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
392
2
Towns/Rural
608
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
466
2
Female
534
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
141
2
Second_20%
160
3
Middle_20%
189
4
Fourth_20%
235
5
Richest_20%
275
Sysmiss
0