LVA_2018_FIES_v01_EN_M_v01_A_OCS
DDI_LVA_2018_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
LVA_2018_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
LVA_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
Latvia
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_Latvia.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.
LVA_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.
1021
23
Nesstar 200801
Unique respondent identifier
1021
0
111120995
211100578
161160942.725
28430917.39
Worried you would not have enough food to eat because of a lack of money or other resources
1011
10
0
No
803
1
Yes
208
Sysmiss
10
Unable to eat healthy and nutritious food because of a lack of money or other resources
1003
18
0
No
806
1
Yes
197
Sysmiss
18
Ate only a few kinds of foods because of a lack of money or other resources
1006
15
0
No
788
1
Yes
218
Sysmiss
15
Skipped a meal because there was not enough money or other resources to get food
1010
11
0
No
972
1
Yes
38
Sysmiss
11
Ate less than you thought you should because of a lack of money or other resources
1002
19
0
No
913
1
Yes
89
Sysmiss
19
Household ran out of food because of a lack of money or other resources
1011
10
0
No
977
1
Yes
34
Sysmiss
10
Hungry but did not eat because there was not enough money or other resources for food?
1012
9
0
No
989
1
Yes
23
Sysmiss
9
Went without eating for a whole day because of a lack of money or other resources?
1016
5
0
No
991
1
Yes
25
Sysmiss
5
Post-stratification sampling weights
1021
0
0.368
2.556
1
0.499
Year when the GWP was administered in the country
1021
0
1
1
1021
Sysmiss
0
Number of adults 15 years of age and above in household
1021
0
01
01
388
02
02
488
03
03
103
04
04
33
05
05
7
06
06
1
07
07
1
Sysmiss
0
Number of children under 15 years of age in household
1019
2
00
00
769
01
01
131
02
02
87
03
03
22
04
04
4
05
05
2
06
06
1
08
08
1
10
10+
2
Sysmiss
2
Sum of Affirmative responses to FIES questions
960
61
0
8
0.785
1.54
Estimated person parameters using the Rasch model
960
61
-1.861
1.648
-1.519
0.673
Estimated person parameter errors using the Rasch model
960
61
0.431
0.701
0.638
0.105
Probability of being moderately or severely food insecure
960
61
0
0.998
0.088
0.225
Probability of being severely food insecure
960
61
0
0.373
0.003
0.033
Age of the respondent
1021
0
15
91
51.863
18.784
Education of the respondent
1021
0
1
Elementary_or_less
232
2
Secondary
467
3
College
318
4
Dont_know
1
5
Refused
3
Sysmiss
0
Area
1021
0
1
Urban/Suburbs
521
2
Towns/Rural
500
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1021
0
1
Male
352
2
Female
669
Sysmiss
0
Income quintile
1021
0
1
Poorest_20%
189
2
Second_20%
200
3
Middle_20%
215
4
Fourth_20%
198
5
Richest_20%
219
Sysmiss
0