NOR_2016_FIES_v01_EN_M_v01_A_OCS
DDI_NOR_2016_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
NOR_2016_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
NOR_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
Norway
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_Norway.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.
NOR_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.
1000
23
Nesstar 200801
Unique respondent identifier
1000
0
111210562
210821588
162405533.989
28411389.715
Worried you would not have enough food to eat because of a lack of money or other resources
1000
0
0
No
962
1
Yes
38
Sysmiss
0
Unable to eat healthy and nutritious food because of a lack of money or other resources
998
2
0
No
958
1
Yes
40
Sysmiss
2
Ate only a few kinds of foods because of a lack of money or other resources
1000
0
0
No
945
1
Yes
55
Sysmiss
0
Skipped a meal because there was not enough money or other resources to get food
1000
0
0
No
978
1
Yes
22
Sysmiss
0
Ate less than you thought you should because of a lack of money or other resources
998
2
0
No
960
1
Yes
38
Sysmiss
2
Household ran out of food because of a lack of money or other resources
1000
0
0
No
981
1
Yes
19
Sysmiss
0
Hungry but did not eat because there was not enough money or other resources for food?
999
1
0
No
986
1
Yes
13
Sysmiss
1
Went without eating for a whole day because of a lack of money or other resources?
1000
0
0
No
989
1
Yes
11
Sysmiss
0
Post-stratification sampling weights
1000
0
0.317
2.931
1
0.695
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
999
1
01
01
304
02
02
496
03
03
112
04
04
64
05
05
17
06
06
1
08
08
1
10
10+
4
Sysmiss
1
Number of children under 15 years of age in household
1000
0
00
00
811
01
01
84
02
02
72
03
03
29
04
04
4
Sysmiss
0
Sum of Affirmative responses to FIES questions
995
5
0
8
0.235
1.049
Estimated person parameters using the Rasch model
995
5
-2.173
2.685
-2.037
0.607
Estimated person parameter errors using the Rasch model
995
5
0.568
1.05
1.026
0.094
Probability of being moderately or severely food insecure
995
5
0
0.998
0.032
0.154
Probability of being severely food insecure
995
5
0
0.78
0.007
0.069
Age of the respondent
1000
0
15
87
54.027
18.219
Education of the respondent
1000
0
1
Elementary_or_less
124
2
Secondary
438
3
College
425
4
Dont_know
9
5
Refused
4
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
342
2
Towns/Rural
655
3
Dont_know
3
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
476
2
Female
524
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
142
2
Second_20%
155
3
Middle_20%
216
4
Fourth_20%
261
5
Richest_20%
226
Sysmiss
0