GBR_2020_FIES_v01_EN_M_v01_A_OCS
DDI_GBR_2020_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
GBR_2020_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
GBR_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
United Kingdom of Great Britain and Northern Ireland
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]
The sample data was weighted to minimize bias in survey-based estimates. The weighting procedure was formulated based on the sample design and was carried out in multiple stages. A probability weight factor (base weight) was constructed to account for selection of telephone numbers from the respective frames and correct for unequal selection probabilities as a result of selecting one adult in landline households and for dual-users coming from both the landline and mobile frame. At the next step, the base weights were post-stratified to adjust for non-response and to match the weighted sample totals to known target population totals obtained from country level census data.
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.
GBR_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
111473234
211097745
161769658.962
28378689.567
Worried you would not have enough food to eat because of a lack of money or other resources
998
2
0
No
952
1
Yes
46
Sysmiss
2
Unable to eat healthy and nutritious food because of a lack of money or other resources
1000
0
0
No
941
1
Yes
59
Sysmiss
0
Ate only a few kinds of foods because of a lack of money or other resources
999
1
0
No
939
1
Yes
60
Sysmiss
1
Skipped a meal because there was not enough money or other resources to get food
1000
0
0
No
968
1
Yes
32
Sysmiss
0
Ate less than you thought you should because of a lack of money or other resources
1000
0
0
No
962
1
Yes
38
Sysmiss
0
Household ran out of food because of a lack of money or other resources
1000
0
0
No
972
1
Yes
28
Sysmiss
0
Hungry but did not eat because there was not enough money or other resources for food?
1000
0
0
No
968
1
Yes
32
Sysmiss
0
Went without eating for a whole day because of a lack of money or other resources?
1000
0
0
No
984
1
Yes
16
Sysmiss
0
Post-stratification sampling weights
1000
0
0.28
3.562
1
0.795
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
993
7
01
01
304
02
02
444
03
03
178
04
04
59
05
05
7
07
07
1
Sysmiss
7
Number of children under 15 years of age in household
995
5
00
00
811
01
01
117
02
02
58
03
03
6
04
04
2
05
05
1
Sysmiss
5
Sum of Affirmative responses to FIES questions
1000
0
0
8
0.311
0.997
Estimated person parameters using the Rasch model
1000
0
-3.232
3.586
-2.967
0.836
Estimated person parameter errors using the Rasch model
1000
0
0.823
1.577
1.501
0.186
Probability of being moderately or severely food insecure
1000
0
0
0.993
0.028
0.128
Probability of being severely food insecure
1000
0
0
0.861
0.008
0.079
Age of the respondent
1000
0
16
100
51.557
18.105
Education of the respondent
1000
0
1
Elementary_or_less
62
2
Secondary
343
3
College
585
4
Dont_know
5
5
Refused
5
Sysmiss
0
Area
1000
0
1
(Refused)
2
2
Urban/Suburbs
442
3
Towns/Rural
555
4
Dont_know
1
5
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
537
2
Female
463
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
164
2
Second_20%
170
3
Middle_20%
208
4
Fourth_20%
205
5
Richest_20%
253
Sysmiss
0