VNM_2018_FIES_v01_EN_M_v01_A_OCS
DDI_VNM_2018_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
VNM_2018_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
VNM_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
Viet Nam
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.
VNM_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.
1012
23
Nesstar 200801
Unique respondent identifier
1012
0
111188173
210916924
162577780.843
28932402.207
Worried you would not have enough food to eat because of a lack of money or other resources
1007
5
0
No
846
1
Yes
161
Sysmiss
5
Unable to eat healthy and nutritious food because of a lack of money or other resources
1006
6
0
No
881
1
Yes
125
Sysmiss
6
Ate only a few kinds of foods because of a lack of money or other resources
1001
11
0
No
880
1
Yes
121
Sysmiss
11
Skipped a meal because there was not enough money or other resources to get food
998
14
0
No
924
1
Yes
74
Sysmiss
14
Ate less than you thought you should because of a lack of money or other resources
1001
11
0
No
880
1
Yes
121
Sysmiss
11
Household ran out of food because of a lack of money or other resources
997
15
0
No
904
1
Yes
93
Sysmiss
15
Hungry but did not eat because there was not enough money or other resources for food?
997
15
0
No
953
1
Yes
44
Sysmiss
15
Went without eating for a whole day because of a lack of money or other resources?
999
13
0
No
978
1
Yes
21
Sysmiss
13
Post-stratification sampling weights
1012
0
0.287
2.865
1
0.555
Year when the GWP was administered in the country
1012
0
1
2018
1012
Sysmiss
0
Number of adults 15 years of age and above in household
1012
0
01
01
154
02
02
661
03
03
146
04
04
39
05
05
9
06
06
3
Sysmiss
0
Number of children under 15 years of age in household
1011
1
00
00
399
01
01
329
02
02
232
03
03
31
04
04
9
05
05
4
06
06
1
07
07
2
08
08
3
10
10+
1
Sysmiss
1
Sum of Affirmative responses to FIES questions
961
51
0
8
0.747
1.612
Estimated person parameters using the Rasch model
961
51
-2.115
2.29
-1.722
0.853
Estimated person parameter errors using the Rasch model
961
51
0.515
0.873
0.801
0.128
Probability of being moderately or severely food insecure
961
51
0
0.999
0.094
0.251
Probability of being severely food insecure
961
51
0
0.682
0.01
0.069
Age of the respondent
1012
0
15
93
40.279
15.443
Education of the respondent
1012
0
1
Elementary_or_less
352
2
Secondary
521
3
College
135
4
Dont_know
4
5
Refused
0
Sysmiss
0
Area
1012
0
1
Urban/Suburbs
459
2
Towns/Rural
553
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1012
0
1
Male
552
2
Female
460
Sysmiss
0
Income quintile
1012
0
1
Poorest_20%
177
2
Second_20%
186
3
Middle_20%
187
4
Fourth_20%
227
5
Richest_20%
235
Sysmiss
0