SRB_2018_FIES_v01_EN_M_v01_A_OCS
DDI_SRB_2018_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
SRB_2018_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
SRB_2018_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
Serbia
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_Serbia.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.
SRB_2018_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
111129389
211051604
161447447.471
28948651.135
Worried you would not have enough food to eat because of a lack of money or other resources
990
10
0
No
810
1
Yes
180
Sysmiss
10
Unable to eat healthy and nutritious food because of a lack of money or other resources
990
10
0
No
768
1
Yes
222
Sysmiss
10
Ate only a few kinds of foods because of a lack of money or other resources
990
10
0
No
768
1
Yes
222
Sysmiss
10
Skipped a meal because there was not enough money or other resources to get food
988
12
0
No
916
1
Yes
72
Sysmiss
12
Ate less than you thought you should because of a lack of money or other resources
977
23
0
No
875
1
Yes
102
Sysmiss
23
Household ran out of food because of a lack of money or other resources
986
14
0
No
883
1
Yes
103
Sysmiss
14
Hungry but did not eat because there was not enough money or other resources for food?
987
13
0
No
936
1
Yes
51
Sysmiss
13
Went without eating for a whole day because of a lack of money or other resources?
991
9
0
No
976
1
Yes
15
Sysmiss
9
Post-stratification sampling weights
1000
0
0.305
3.052
1
0.648
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
221
02
02
372
03
03
200
04
04
151
05
05
42
06
06
14
Sysmiss
0
Number of children under 15 years of age in household
998
2
00
00
771
01
01
120
02
02
89
03
03
13
04
04
5
Sysmiss
2
Sum of Affirmative responses to FIES questions
929
71
0
8
0.897
1.75
Estimated person parameters using the Rasch model
929
71
-1.914
2.166
-1.491
0.844
Estimated person parameter errors using the Rasch model
929
71
0.463
0.728
0.665
0.102
Probability of being moderately or severely food insecure
929
71
0
1
0.111
0.268
Probability of being severely food insecure
929
71
0
0.655
0.011
0.063
Age of the respondent
1000
0
15
100
49.446
18.453
Education of the respondent
1000
0
1
Elementary_or_less
149
2
Secondary
652
3
College
196
4
Dont_know
0
5
Refused
3
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
432
2
Towns/Rural
568
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
452
2
Female
548
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
151
2
Second_20%
177
3
Middle_20%
194
4
Fourth_20%
220
5
Richest_20%
258
Sysmiss
0