GTM_2019_FIES_v01_EN_M_v01_A_OCS
DDI_GTM_2019_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
GTM_2019_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
GTM_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
Guatemala
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.
GTM_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.
1100
23
Nesstar 200801
Unique respondent identifier
1100
0
111193869
211064117
160094412.721
28946708.603
Worried you would not have enough food to eat because of a lack of money or other resources
1093
7
0
No
481
1
Yes
612
Sysmiss
7
Unable to eat healthy and nutritious food because of a lack of money or other resources
1090
10
0
No
572
1
Yes
518
Sysmiss
10
Ate only a few kinds of foods because of a lack of money or other resources
1093
7
0
No
531
1
Yes
562
Sysmiss
7
Skipped a meal because there was not enough money or other resources to get food
1093
7
0
No
710
1
Yes
383
Sysmiss
7
Ate less than you thought you should because of a lack of money or other resources
1087
13
0
No
601
1
Yes
486
Sysmiss
13
Household ran out of food because of a lack of money or other resources
1091
9
0
No
680
1
Yes
411
Sysmiss
9
Hungry but did not eat because there was not enough money or other resources for food?
1095
5
0
No
696
1
Yes
399
Sysmiss
5
Went without eating for a whole day because of a lack of money or other resources?
1095
5
0
No
864
1
Yes
231
Sysmiss
5
Post-stratification sampling weights
1100
0
0.348
2.298
1
0.469
Year when the GWP was administered in the country
1100
0
1
1
1100
Sysmiss
0
Number of adults 15 years of age and above in household
1100
0
01
01
99
02
02
392
03
03
245
04
04
166
05
05
111
06
06
45
07
07
19
08
08
17
09
09
4
10
10+
2
Sysmiss
0
Number of children under 15 years of age in household
1093
7
00
00
307
01
01
247
02
02
252
03
03
155
04
04
72
05
05
33
06
06
12
07
07
10
08
08
2
10
10+
3
Sysmiss
7
Sum of Affirmative responses to FIES questions
1056
44
0
8
3.292
3.157
Estimated person parameters using the Rasch model
1056
44
-2.304
2.825
-0.333
1.937
Estimated person parameter errors using the Rasch model
1056
44
0.559
1.006
0.842
0.18
Probability of being moderately or severely food insecure
1056
44
0
0.999
0.45
0.455
Probability of being severely food insecure
1056
44
0
0.828
0.183
0.308
Age of the respondent
1100
0
15
100
35.705
16.743
Education of the respondent
1100
0
1
Elementary_or_less
552
2
Secondary
428
3
College
38
4
Dont_know
52
5
Refused
30
Sysmiss
0
Area
1100
0
1
Urban/Suburbs
100
2
Towns/Rural
1000
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1100
0
1
Male
433
2
Female
667
Sysmiss
0
Income quintile
1100
0
1
Poorest_20%
209
2
Second_20%
186
3
Middle_20%
201
4
Fourth_20%
225
5
Richest_20%
279
Sysmiss
0