NZL_2016_FIES_v01_EN_M_v01_A_OCS
DDI_NZL_2016_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
NZL_2016_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
NZL_2016_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
New Zealand
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_New Zealand.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.
NZL_2016_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.
1004
23
Nesstar 200801
Unique respondent identifier
1004
0
111316634
211109961
161038277.006
28903784.157
Worried you would not have enough food to eat because of a lack of money or other resources
1004
0
0
No
907
1
Yes
97
Sysmiss
0
Unable to eat healthy and nutritious food because of a lack of money or other resources
1003
1
0
No
913
1
Yes
90
Sysmiss
1
Ate only a few kinds of foods because of a lack of money or other resources
1002
2
0
No
863
1
Yes
139
Sysmiss
2
Skipped a meal because there was not enough money or other resources to get food
1003
1
0
No
922
1
Yes
81
Sysmiss
1
Ate less than you thought you should because of a lack of money or other resources
1004
0
0
No
894
1
Yes
110
Sysmiss
0
Household ran out of food because of a lack of money or other resources
1004
0
0
No
932
1
Yes
72
Sysmiss
0
Hungry but did not eat because there was not enough money or other resources for food?
1002
2
0
No
934
1
Yes
68
Sysmiss
2
Went without eating for a whole day because of a lack of money or other resources?
1003
1
0
No
978
1
Yes
25
Sysmiss
1
Post-stratification sampling weights
1004
0
0.309
3.097
1
0.759
Year when the GWP was administered in the country
1004
0
1
1
1004
Sysmiss
0
Number of adults 15 years of age and above in household
0
1004
Sysmiss
1004
Number of children under 15 years of age in household
1002
2
00
00
730
01
01
112
02
02
109
03
03
40
04
04
9
05
05
2
Sysmiss
2
Sum of Affirmative responses to FIES questions
998
6
0
8
0.672
1.792
Estimated person parameters using the Rasch model
998
6
-2.263
2.78
-1.861
1.069
Estimated person parameter errors using the Rasch model
998
6
0.579
1.077
1.018
0.142
Probability of being moderately or severely food insecure
998
6
0
0.998
0.093
0.264
Probability of being severely food insecure
998
6
0
0.8
0.027
0.124
Age of the respondent
1004
0
15
100
54.646
18.501
Education of the respondent
1004
0
1
Elementary_or_less
73
2
Secondary
539
3
College
380
4
Dont_know
8
5
Refused
4
Sysmiss
0
Area
1004
0
1
Urban/Suburbs
669
2
Towns/Rural
329
3
Dont_know
6
4
Refused
0
Sysmiss
0
Gender of the respondent
1004
0
1
Male
437
2
Female
567
Sysmiss
0
Income quintile
1004
0
1
Poorest_20%
126
2
Second_20%
174
3
Middle_20%
192
4
Fourth_20%
222
5
Richest_20%
290
Sysmiss
0