ROU_2017_FIES_v01_EN_M_v01_A_OCS
DDI_ROU_2017_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
ROU_2017_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
ROU_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
Romania
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_Romania.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.
ROU_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.
1001
23
Nesstar 200801
Unique respondent identifier
1001
0
111201764
211025532
162028648.497
28897954.955
Worried you would not have enough food to eat because of a lack of money or other resources
1000
1
0
No
808
1
Yes
192
Sysmiss
1
Unable to eat healthy and nutritious food because of a lack of money or other resources
995
6
0
No
855
1
Yes
140
Sysmiss
6
Ate only a few kinds of foods because of a lack of money or other resources
994
7
0
No
847
1
Yes
147
Sysmiss
7
Skipped a meal because there was not enough money or other resources to get food
995
6
0
No
912
1
Yes
83
Sysmiss
6
Ate less than you thought you should because of a lack of money or other resources
991
10
0
No
893
1
Yes
98
Sysmiss
10
Household ran out of food because of a lack of money or other resources
995
6
0
No
926
1
Yes
69
Sysmiss
6
Hungry but did not eat because there was not enough money or other resources for food?
997
4
0
No
948
1
Yes
49
Sysmiss
4
Went without eating for a whole day because of a lack of money or other resources?
993
8
0
No
948
1
Yes
45
Sysmiss
8
Post-stratification sampling weights
1001
0
0.305
3.048
1
0.682
Year when the GWP was administered in the country
1001
0
1
1
1001
Sysmiss
0
Number of adults 15 years of age and above in household
1001
0
01
01
276
02
02
463
03
03
167
04
04
70
05
05
21
06
06
2
08
08
2
Sysmiss
0
Number of children under 15 years of age in household
1001
0
00
00
797
01
01
134
02
02
44
03
03
22
04
04
1
05
05
1
06
06
2
Sysmiss
0
Sum of Affirmative responses to FIES questions
961
40
0
8
0.803
1.861
Estimated person parameters using the Rasch model
961
40
-2.148
2.487
-1.711
1.034
Estimated person parameter errors using the Rasch model
961
40
0.531
0.9
0.839
0.122
Probability of being moderately or severely food insecure
961
40
0
0.999
0.099
0.265
Probability of being severely food insecure
961
40
0
0.751
0.027
0.13
Age of the respondent
1001
0
15
93
55.085
18.415
Education of the respondent
1001
0
1
Elementary_or_less
309
2
Secondary
549
3
College
143
4
Dont_know
0
5
Refused
0
Sysmiss
0
Area
1001
0
1
Urban/Suburbs
341
2
Towns/Rural
660
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1001
0
1
Male
424
2
Female
577
Sysmiss
0
Income quintile
1001
0
1
Poorest_20%
148
2
Second_20%
187
3
Middle_20%
194
4
Fourth_20%
227
5
Richest_20%
245
Sysmiss
0