DZA_2016_FIES_v01_EN_M_v01_A_OCS
DDI_DZA_2016_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
DZA_2016_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
DZA_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
Algeria
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.
DZA_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.
1001
23
Nesstar 200801
Unique respondent identifier
1001
0
111170836
211053942
161292000.437
29304921.139
Worried you would not have enough food to eat because of a lack of money or other resources
980
21
0
No
749
1
Yes
231
Sysmiss
21
Unable to eat healthy and nutritious food because of a lack of money or other resources
982
19
0
No
755
1
Yes
227
Sysmiss
19
Ate only a few kinds of foods because of a lack of money or other resources
980
21
0
No
727
1
Yes
253
Sysmiss
21
Skipped a meal because there was not enough money or other resources to get food
983
18
0
No
775
1
Yes
208
Sysmiss
18
Ate less than you thought you should because of a lack of money or other resources
980
21
0
No
775
1
Yes
205
Sysmiss
21
Household ran out of food because of a lack of money or other resources
983
18
0
No
821
1
Yes
162
Sysmiss
18
Hungry but did not eat because there was not enough money or other resources for food?
983
18
0
No
828
1
Yes
155
Sysmiss
18
Went without eating for a whole day because of a lack of money or other resources?
993
8
0
No
866
1
Yes
127
Sysmiss
8
Post-stratification sampling weights
1001
0
0.264
2.597
1
0.645
Year when the GWP was administered in the country
1001
0
1
1
1001
Sysmiss
0
Number of adults 15 years of age and above in household
1001
0
01
01
31
02
02
296
03
03
213
04
04
204
05
05
121
06
06
67
07
07
31
08
08
20
09
09
9
10
10+
9
Sysmiss
0
Number of children under 15 years of age in household
1000
1
00
00
365
01
01
214
02
02
187
03
03
138
04
04
50
05
05
21
06
06
13
07
07
2
08
08
7
09
09
1
10
10+
2
Sysmiss
1
Sum of Affirmative responses to FIES questions
968
33
0
8
1.58
2.601
Estimated person parameters using the Rasch model
968
33
-3.842
4.391
-2.267
2.587
Estimated person parameter errors using the Rasch model
968
33
0.99
1.935
1.714
0.351
Probability of being moderately or severely food insecure
968
33
0
0.992
0.199
0.358
Probability of being severely food insecure
968
33
0
0.903
0.108
0.27
Age of the respondent
1001
0
15
86
38.846
15.885
Education of the respondent
1001
0
1
Elementary_or_less
488
2
Secondary
389
3
College
118
4
Dont_know
1
5
Refused
5
Sysmiss
0
Area
1001
0
1
(Refused)
3
2
Urban/Suburbs
655
3
Towns/Rural
343
4
Dont_know
0
5
Refused
0
Sysmiss
0
Gender of the respondent
1001
0
1
Male
479
2
Female
522
Sysmiss
0
Income quintile
1001
0
1
Poorest_20%
179
2
Second_20%
180
3
Middle_20%
181
4
Fourth_20%
205
5
Richest_20%
256
Sysmiss
0