ESP_2017_FIES_v01_EN_M_v01_A_OCS
DDI_ESP_2017_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
ESP_2017_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
ESP_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
Spain
National
Individuals
Individuals of 15 years or older.
Sample survey data [ssd]
Last 12 months.
Computer Assisted Telephone Interview [cati]
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_Spain.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.
ESP_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
111143278
210867280
161642505.875
28352479.585
Worried you would not have enough food to eat because of a lack of money or other resources
1000
0
0
No
886
1
Yes
114
Sysmiss
0
Unable to eat healthy and nutritious food because of a lack of money or other resources
1000
0
0
No
949
1
Yes
51
Sysmiss
0
Ate only a few kinds of foods because of a lack of money or other resources
1000
0
0
No
876
1
Yes
124
Sysmiss
0
Skipped a meal because there was not enough money or other resources to get food
1000
0
0
No
957
1
Yes
43
Sysmiss
0
Ate less than you thought you should because of a lack of money or other resources
1000
0
0
No
915
1
Yes
85
Sysmiss
0
Household ran out of food because of a lack of money or other resources
1000
0
0
No
954
1
Yes
46
Sysmiss
0
Hungry but did not eat because there was not enough money or other resources for food?
1000
0
0
No
966
1
Yes
34
Sysmiss
0
Went without eating for a whole day because of a lack of money or other resources?
1000
0
0
No
973
1
Yes
27
Sysmiss
0
Post-stratification sampling weights
1000
0
0.31
3.179
1
0.771
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
997
3
01
01
156
02
02
334
03
03
238
04
04
204
05
05
53
06
06
10
07
07
1
08
08
1
Sysmiss
3
Number of children under 15 years of age in household
998
2
00
00
709
01
01
188
02
02
85
03
03
14
04
04
2
Sysmiss
2
Sum of Affirmative responses to FIES questions
1000
0
0
8
0.524
1.454
Estimated person parameters using the Rasch model
1000
0
-2.31
2.529
-1.989
0.877
Estimated person parameter errors using the Rasch model
1000
0
0.589
1.069
1.009
0.141
Probability of being moderately or severely food insecure
1000
0
0
0.996
0.071
0.222
Probability of being severely food insecure
1000
0
0
0.73
0.014
0.083
Age of the respondent
1000
0
15
100
44.368
15.668
Education of the respondent
1000
0
1
Elementary_or_less
138
2
Secondary
780
3
College
80
4
Dont_know
0
5
Refused
2
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
540
2
Towns/Rural
455
3
Dont_know
5
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
480
2
Female
520
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
163
2
Second_20%
198
3
Middle_20%
180
4
Fourth_20%
207
5
Richest_20%
252
Sysmiss
0