ZAF_2017_FIES_v01_EN_M_v01_A_OCS
DDI_ZAF_2017_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
ZAF_2017_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
ZAF_2017_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
South Africa
National
Individuals
Individuals of 15 years or older.
Sample survey data [ssd]
Last 12 months.
Face-to-face par [f2f]
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_South Africa.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.
ZAF_2017_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
111241035
211096793
160290801.736
29188330.528
Worried you would not have enough food to eat because of a lack of money or other resources
989
11
0
No
377
1
Yes
612
Sysmiss
11
Unable to eat healthy and nutritious food because of a lack of money or other resources
987
13
0
No
376
1
Yes
611
Sysmiss
13
Ate only a few kinds of foods because of a lack of money or other resources
989
11
0
No
320
1
Yes
669
Sysmiss
11
Skipped a meal because there was not enough money or other resources to get food
988
12
0
No
466
1
Yes
522
Sysmiss
12
Ate less than you thought you should because of a lack of money or other resources
989
11
0
No
388
1
Yes
601
Sysmiss
11
Household ran out of food because of a lack of money or other resources
987
13
0
No
423
1
Yes
564
Sysmiss
13
Hungry but did not eat because there was not enough money or other resources for food?
985
15
0
No
450
1
Yes
535
Sysmiss
15
Went without eating for a whole day because of a lack of money or other resources?
990
10
0
No
640
1
Yes
350
Sysmiss
10
Post-stratification sampling weights
1000
0
0.388
2.981
1
0.641
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
1000
0
01
01
386
02
02
307
03
03
172
04
04
67
05
05
32
06
06
24
07
07
7
08
08
2
09
09
2
10
10+
1
Sysmiss
0
Number of children under 15 years of age in household
1000
0
00
00
363
01
01
203
02
02
203
03
03
114
04
04
66
05
05
26
06
06
18
07
07
3
08
08
3
09
09
1
Sysmiss
0
Sum of Affirmative responses to FIES questions
975
25
0
8
4.527
3.162
Estimated person parameters using the Rasch model
975
25
-3.404
3.99
0.53
2.822
Estimated person parameter errors using the Rasch model
975
25
0.851
1.649
1.34
0.319
Probability of being moderately or severely food insecure
975
25
0
0.995
0.602
0.44
Probability of being severely food insecure
975
25
0
0.9
0.367
0.387
Age of the respondent
1000
0
15
100
34.443
14.438
Education of the respondent
1000
0
1
Elementary_or_less
170
2
Secondary
739
3
College
80
4
Dont_know
6
5
Refused
5
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
190
2
Towns/Rural
810
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
513
2
Female
487
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
156
2
Second_20%
166
3
Middle_20%
192
4
Fourth_20%
215
5
Richest_20%
271
Sysmiss
0