AUS_2014_FIES_v01_EN_M_v01_A_OCS
DDI_AUS_2014_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
AUS_2014_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
AUS_2014_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
Australia
National
Individuals
Individuals of 15 years or older.
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".
To use updated computed variables, users should merge the external resource NEW_Computed_Variables_Australia.csv to the original data set through the key Random_ID
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.
AUS_2014_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
111140981
211037506
160244116.931
28923943.173
Worried you would not have enough food to eat because of a lack of money or other resources
999
1
0
No
931
1
Yes
68
Sysmiss
1
Unable to eat healthy and nutritious food because of a lack of money or other resources
999
1
0
No
922
1
Yes
77
Sysmiss
1
Ate only a few kinds of foods because of a lack of money or other resources
999
1
0
No
895
1
Yes
104
Sysmiss
1
Skipped a meal because there was not enough money or other resources to get food
999
1
0
No
947
1
Yes
52
Sysmiss
1
Ate less than you thought you should because of a lack of money or other resources
998
2
0
No
934
1
Yes
64
Sysmiss
2
Household ran out of food because of a lack of money or other resources
1000
0
0
No
963
1
Yes
37
Sysmiss
0
Hungry but did not eat because there was not enough money or other resources for food?
999
1
0
No
959
1
Yes
40
Sysmiss
1
Went without eating for a whole day because of a lack of money or other resources?
1000
0
0
No
983
1
Yes
17
Sysmiss
0
Post-stratification sampling weights
1000
0
0.25
3.146
1
0.81
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
997
3
01
01
279
02
02
447
03
03
149
04
04
80
05
05
28
06
06
10
07
07
2
08
08
1
09
09
1
Sysmiss
3
Number of children under 15 years of age in household
999
1
00
00
786
01
01
80
02
02
81
03
03
33
04
04
17
05
05
1
06
06
1
Sysmiss
1
Sum of Affirmative responses to FIES questions
995
5
0
8
0.458
1.43
Estimated person parameters using the Rasch model
995
5
-2.241
2.693
-1.97
0.84
Estimated person parameter errors using the Rasch model
995
5
0.573
1.068
1.02
0.131
Probability of being moderately or severely food insecure
995
5
0
0.998
0.064
0.217
Probability of being severely food insecure
995
5
0
0.778
0.013
0.087
Age of the respondent
1000
0
15
100
56.25
18.305
Education of the respondent
1000
0
1
Elementary_or_less
59
2
Secondary
562
3
College
357
4
Dont_know
20
5
Refused
2
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
753
2
Towns/Rural
246
3
Dont_know
1
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
392
2
Female
608
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
145
2
Second_20%
211
3
Middle_20%
220
4
Fourth_20%
186
5
Richest_20%
238
Sysmiss
0