POL_2019_FIES_v01_EN_M_v01_A_OCS
DDI_POL_2019_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
POL_2019_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
POL_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
Poland
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.
POL_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
111139779
211110054
162192265.919
28692282.89
Worried you would not have enough food to eat because of a lack of money or other resources
1073
7
0
No
1003
1
Yes
70
Sysmiss
7
Unable to eat healthy and nutritious food because of a lack of money or other resources
1070
10
0
No
1004
1
Yes
66
Sysmiss
10
Ate only a few kinds of foods because of a lack of money or other resources
1068
12
0
No
989
1
Yes
79
Sysmiss
12
Skipped a meal because there was not enough money or other resources to get food
1075
5
0
No
1054
1
Yes
21
Sysmiss
5
Ate less than you thought you should because of a lack of money or other resources
1055
25
0
No
1026
1
Yes
29
Sysmiss
25
Household ran out of food because of a lack of money or other resources
1071
9
0
No
1046
1
Yes
25
Sysmiss
9
Hungry but did not eat because there was not enough money or other resources for food?
1072
8
0
No
1060
1
Yes
12
Sysmiss
8
Went without eating for a whole day because of a lack of money or other resources?
1070
10
0
No
1065
1
Yes
5
Sysmiss
10
Post-stratification sampling weights
1080
0
0.26
2.593
1
0.571
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
371
02
02
529
03
03
139
04
04
39
05
05
2
Sysmiss
0
Number of children under 15 years of age in household
1073
7
00
00
833
01
01
128
02
02
94
03
03
13
04
04
4
06
06
1
Sysmiss
7
Sum of Affirmative responses to FIES questions
1031
49
0
8
0.277
0.903
Estimated person parameters using the Rasch model
1031
49
-2.187
2.317
-2.035
0.498
Estimated person parameter errors using the Rasch model
1031
49
0.539
0.903
0.867
0.096
Probability of being moderately or severely food insecure
1031
49
0
0.998
0.028
0.127
Probability of being severely food insecure
1031
49
0
0.688
0.002
0.031
Age of the respondent
1080
0
15
100
50.106
18.099
Education of the respondent
1080
0
1
Elementary_or_less
89
2
Secondary
747
3
College
237
4
Dont_know
1
5
Refused
6
Sysmiss
0
Area
1080
0
1
Urban/Suburbs
408
2
Towns/Rural
672
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1080
0
1
Male
458
2
Female
622
Sysmiss
0
Income quintile
1080
0
1
Poorest_20%
172
2
Second_20%
203
3
Middle_20%
218
4
Fourth_20%
221
5
Richest_20%
266
Sysmiss
0