ETH_2017_FIES_v01_EN_M_v01_A_OCS
DDI_ETH_2017_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
ETH_2017_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
ETH_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
Ethiopia
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".
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.
ETH_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
111125310
210997523
161346350.854
29398023.922
Worried you would not have enough food to eat because of a lack of money or other resources
1000
0
0
No
466
1
Yes
534
Sysmiss
0
Unable to eat healthy and nutritious food because of a lack of money or other resources
1000
0
0
No
349
1
Yes
651
Sysmiss
0
Ate only a few kinds of foods because of a lack of money or other resources
998
2
0
No
287
1
Yes
711
Sysmiss
2
Skipped a meal because there was not enough money or other resources to get food
1000
0
0
No
566
1
Yes
434
Sysmiss
0
Ate less than you thought you should because of a lack of money or other resources
998
2
0
No
471
1
Yes
527
Sysmiss
2
Household ran out of food because of a lack of money or other resources
1000
0
0
No
754
1
Yes
246
Sysmiss
0
Hungry but did not eat because there was not enough money or other resources for food?
1000
0
0
No
761
1
Yes
239
Sysmiss
0
Went without eating for a whole day because of a lack of money or other resources?
998
2
0
No
846
1
Yes
152
Sysmiss
2
Post-stratification sampling weights
1000
0
0.297
2.968
1
0.633
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
166
02
02
524
03
03
189
04
04
73
05
05
25
06
06
13
07
07
9
08
08
1
Sysmiss
0
Number of children under 15 years of age in household
1000
0
00
00
206
01
01
196
02
02
219
03
03
166
04
04
98
05
05
80
06
06
20
07
07
10
08
08
4
09
09
1
Sysmiss
0
Sum of Affirmative responses to FIES questions
996
4
0
8
3.483
2.695
Estimated person parameters using the Rasch model
996
4
-1.832
2.393
-0.105
1.369
Estimated person parameter errors using the Rasch model
996
4
0.473
0.817
0.62
0.142
Probability of being moderately or severely food insecure
996
4
0
1
0.522
0.424
Probability of being severely food insecure
996
4
0
0.737
0.114
0.239
Age of the respondent
1000
0
15
98
32.979
13.924
Education of the respondent
1000
0
1
Elementary_or_less
713
2
Secondary
257
3
College
30
4
Dont_know
0
5
Refused
0
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
185
2
Towns/Rural
815
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
398
2
Female
602
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
151
2
Second_20%
162
3
Middle_20%
172
4
Fourth_20%
211
5
Richest_20%
304
Sysmiss
0