MUS_2020_FIES_v01_EN_M_v01_A_OCS
DDI_MUS_2020_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
MUS_2020_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
MUS_2020_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
Mauritius
National
Individuals
Individuals of 15 years or older with access to landline and/or mobile phones.
Sample survey data [ssd]
Last 12 months.
Computer Assisted Telephone Interview [CATI]
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.
MUS_2020_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
111139458
211109119
160852997.755
28572720.719
Worried you would not have enough food to eat because of a lack of money or other resources
997
3
0
No
656
1
Yes
341
Sysmiss
3
Unable to eat healthy and nutritious food because of a lack of money or other resources
994
6
0
No
742
1
Yes
252
Sysmiss
6
Ate only a few kinds of foods because of a lack of money or other resources
996
4
0
No
710
1
Yes
286
Sysmiss
4
Skipped a meal because there was not enough money or other resources to get food
1000
0
0
No
844
1
Yes
156
Sysmiss
0
Ate less than you thought you should because of a lack of money or other resources
999
1
0
No
760
1
Yes
239
Sysmiss
1
Household ran out of food because of a lack of money or other resources
995
5
0
No
841
1
Yes
154
Sysmiss
5
Hungry but did not eat because there was not enough money or other resources for food?
999
1
0
No
869
1
Yes
130
Sysmiss
1
Went without eating for a whole day because of a lack of money or other resources?
1000
0
0
No
938
1
Yes
62
Sysmiss
0
Post-stratification sampling weights
1000
0
0.208
4.079
1
0.954
Year when the study was administered in the country
1000
0
1
2020
1000
Sysmiss
0
Number of adults 15 years of age and above in household
1000
0
01
01
84
02
02
263
03
03
257
04
04
250
05
05
96
06
06
35
07
07
9
08
08
5
10
10+
1
Sysmiss
0
Number of children under 15 years of age in household
999
1
00
00
650
01
01
202
02
02
108
03
03
30
04
04
3
05
05
2
06
06
2
07
07
1
10
10+
1
Sysmiss
1
Sum of Affirmative responses to FIES questions
1000
0
0
8
1.62
2.456
Estimated person parameters using the Rasch model
1000
0
-2.244
2.719
-1.319
1.427
Estimated person parameter errors using the Rasch model
1000
0
0.553
0.977
0.853
0.169
Probability of being moderately or severely food insecure
1000
0
0
0.999
0.216
0.364
Probability of being severely food insecure
1000
0
0
0.806
0.057
0.183
Age of the respondent
1000
0
15
100
43.063
18.803
Education of the respondent
1000
0
1
Elementary_or_less
237
2
Secondary
573
3
College
187
4
Dont_know
0
5
Refused
3
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
291
2
Towns/Rural
709
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
474
2
Female
526
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
135
2
Second_20%
173
3
Middle_20%
202
4
Fourth_20%
213
5
Richest_20%
277
Sysmiss
0