BRA_2018_FIES_v01_EN_M_v01_A_OCS
DDI_BRA_2018_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
BRA_2018_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
BRA_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
Brazil
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 variable WHLDAY was not considered in the computation of the published FAO food insecurity indicator based on FIES due to the results of the validation process.
The variable RUNOUT was not considered in the computation of the published FAO food insecurity indicator based on FIES due to the results of the validation process.
The variable HUNGRY was not considered in the computation of the published FAO food insecurity indicator based on FIES due to the results of the validation process.
The variable WORRIED was not considered in the computation of the published FAO food insecurity indicator based on FIES due to the results of the validation process.
The variable ATELESS was not considered in the computation of the published FAO food insecurity indicator based on FIES due to the results of the validation process.
The variable HEALTHY was not considered in the computation of the published FAO food insecurity indicator based on FIES due to the results of the validation process.
The variable FEWFOOD was not considered in the computation of the published FAO food insecurity indicator based on FIES due to the results of the validation process.
The variable SKIPPED was not considered in the computation of the published FAO food insecurity indicator based on FIES due to the results of the validation process.
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.
BRA_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.
1000
23
Nesstar 200801
Unique respondent identifier
1000
0
111125540
210956859
161726318.559
27872412.857
Worried you would not have enough food to eat because of a lack of money or other resources
995
5
0
No
612
1
Yes
383
Sysmiss
5
Unable to eat healthy and nutritious food because of a lack of money or other resources
997
3
0
No
700
1
Yes
297
Sysmiss
3
Ate only a few kinds of foods because of a lack of money or other resources
995
5
0
No
639
1
Yes
356
Sysmiss
5
Skipped a meal because there was not enough money or other resources to get food
998
2
0
No
885
1
Yes
113
Sysmiss
2
Ate less than you thought you should because of a lack of money or other resources
999
1
0
No
843
1
Yes
156
Sysmiss
1
Household ran out of food because of a lack of money or other resources
993
7
0
No
750
1
Yes
243
Sysmiss
7
Hungry but did not eat because there was not enough money or other resources for food?
1000
0
0
No
896
1
Yes
104
Sysmiss
0
Went without eating for a whole day because of a lack of money or other resources?
999
1
0
No
907
1
Yes
92
Sysmiss
1
Post-stratification sampling weights
1000
0
0.28
2.944
1
0.552
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
1000
0
01
01
233
02
02
427
03
03
196
04
04
98
05
05
32
06
06
10
07
07
2
09
09
1
11
11
1
Sysmiss
0
Number of children under 15 years of age in household
1000
0
00
00
576
01
01
223
02
02
136
03
03
45
04
04
11
05
05
7
06
06
1
08
08
1
Sysmiss
0
Sum of Affirmative responses to FIES questions
983
17
0
8
1.733
2.277
Estimated person parameters using the Rasch model
983
17
-3.532
1.548
-1.99
1.636
Estimated person parameter errors using the Rasch model
983
17
0.437
0.735
0.614
0.131
Probability of being moderately or severely food insecure
983
17
0
0.994
0.193
0.332
Probability of being severely food insecure
983
17
0
0.328
0.013
0.06
Age of the respondent
1000
0
15
100
44.619
17.774
Education of the respondent
1000
0
1
Elementary_or_less
436
2
Secondary
487
3
College
73
4
Dont_know
4
5
Refused
0
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
0
2
Towns/Rural
0
3
Dont_know
0
4
Refused
0
5
A large city
329
6
A rural area or on a farm
151
7
A small town or village
327
8
A suburb of a large city
193
Sysmiss
0
Gender of the respondent
1000
0
1
Male
441
2
Female
559
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
192
2
Second_20%
182
3
Middle_20%
190
4
Fourth_20%
219
5
Richest_20%
217
Sysmiss
0