ALB_2019_FIES_v01_EN_M_v01_A_OCS
DDI_ALB_2019_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
ALB_2019_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
ALB_2019_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
Albania
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".
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.
ALB_2019_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.
1080
23
Nesstar 200801
Unique respondent identifier
1080
0
111149432
210761804
159354051.598
29123192.589
Worried you would not have enough food to eat because of a lack of money or other resources
1080
0
0
No
612
1
Yes
468
Sysmiss
0
Unable to eat healthy and nutritious food because of a lack of money or other resources
1078
2
0
No
568
1
Yes
510
Sysmiss
2
Ate only a few kinds of foods because of a lack of money or other resources
1080
0
0
No
557
1
Yes
523
Sysmiss
0
Skipped a meal because there was not enough money or other resources to get food
1079
1
0
No
875
1
Yes
204
Sysmiss
1
Ate less than you thought you should because of a lack of money or other resources
1080
0
0
No
763
1
Yes
317
Sysmiss
0
Household ran out of food because of a lack of money or other resources
1079
1
0
No
843
1
Yes
236
Sysmiss
1
Hungry but did not eat because there was not enough money or other resources for food?
1078
2
0
No
871
1
Yes
207
Sysmiss
2
Went without eating for a whole day because of a lack of money or other resources?
1079
1
0
No
985
1
Yes
94
Sysmiss
1
Post-stratification sampling weights
1080
0
0.257
2.526
1
0.654
Year when the GWP was administered in the country
1080
0
1
1
1080
Sysmiss
0
Number of adults 15 years of age and above in household
1080
0
01
01
155
02
02
439
03
03
217
04
04
191
05
05
60
06
06
14
07
07
4
Sysmiss
0
Number of children under 15 years of age in household
1078
2
00
00
737
01
01
164
02
02
128
03
03
41
04
04
5
05
05
3
Sysmiss
2
Sum of Affirmative responses to FIES questions
1073
7
0
8
2.37
2.674
Estimated person parameters using the Rasch model
1073
7
-2.006
2.324
-0.8
1.391
Estimated person parameter errors using the Rasch model
1073
7
0.482
0.775
0.649
0.128
Probability of being moderately or severely food insecure
1073
7
0
1
0.323
0.412
Probability of being severely food insecure
1073
7
0
0.719
0.069
0.189
Age of the respondent
1080
0
15
95
50.977
19.018
Education of the respondent
1080
0
1
Elementary_or_less
546
2
Secondary
376
3
College
158
4
Dont_know
0
5
Refused
0
Sysmiss
0
Area
1080
0
1
Urban/Suburbs
457
2
Towns/Rural
623
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1080
0
1
Male
406
2
Female
674
Sysmiss
0
Income quintile
1080
0
1
Poorest_20%
172
2
Second_20%
181
3
Middle_20%
216
4
Fourth_20%
241
5
Richest_20%
270
Sysmiss
0