SRB_2017_FIES_v01_EN_M_v01_A_OCS
DDI_SRB_2017_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
SRB_2017_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
SRB_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
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_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
111291253
210923301
161400988.496
29065290.493
Worried you would not have enough food to eat because of a lack of money or other resources
994
6
0
No
762
1
Yes
232
Sysmiss
6
Unable to eat healthy and nutritious food because of a lack of money or other resources
987
13
0
No
753
1
Yes
234
Sysmiss
13
Ate only a few kinds of foods because of a lack of money or other resources
990
10
0
No
727
1
Yes
263
Sysmiss
10
Skipped a meal because there was not enough money or other resources to get food
990
10
0
No
911
1
Yes
79
Sysmiss
10
Ate less than you thought you should because of a lack of money or other resources
986
14
0
No
844
1
Yes
142
Sysmiss
14
Household ran out of food because of a lack of money or other resources
986
14
0
No
869
1
Yes
117
Sysmiss
14
Hungry but did not eat because there was not enough money or other resources for food?
991
9
0
No
921
1
Yes
70
Sysmiss
9
Went without eating for a whole day because of a lack of money or other resources?
993
7
0
No
957
1
Yes
36
Sysmiss
7
Post-stratification sampling weights
1000
0
0.293
2.808
1
0.613
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
234
02
02
429
03
03
185
04
04
113
05
05
28
06
06
11
Sysmiss
0
Number of children under 15 years of age in household
1000
0
00
00
710
01
01
125
02
02
138
03
03
24
04
04
2
05
05
1
Sysmiss
0
Sum of Affirmative responses to FIES questions
945
55
0
8
1.16
2.055
Estimated person parameters using the Rasch model
945
55
-1.914
2.166
-1.361
1.005
Estimated person parameter errors using the Rasch model
945
55
0.463
0.728
0.657
0.107
Probability of being moderately or severely food insecure
945
55
0
1
0.146
0.309
Probability of being severely food insecure
945
55
0
0.655
0.024
0.107
Age of the respondent
1000
0
15
96
49.765
17.694
Education of the respondent
1000
0
1
Elementary_or_less
189
2
Secondary
648
3
College
162
4
Dont_know
0
5
Refused
1
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
336
2
Towns/Rural
632
3
Dont_know
32
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
456
2
Female
544
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
143
2
Second_20%
184
3
Middle_20%
196
4
Fourth_20%
221
5
Richest_20%
256
Sysmiss
0