DZA_2014_FIES_v01_EN_M_v01_A_OCS
DDI_DZA_2014_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
DZA_2014_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
DZA_2014_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_2014_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.
1002
23
Nesstar 200801
Unique respondent identifier
1002
0
111215713
211091183
159253530.587
29163133.092
Worried you would not have enough food to eat because of a lack of money or other resources
1002
0
0
No
906
1
Yes
96
Sysmiss
0
Unable to eat healthy and nutritious food because of a lack of money or other resources
1002
0
0
No
914
1
Yes
88
Sysmiss
0
Ate only a few kinds of foods because of a lack of money or other resources
1002
0
0
No
892
1
Yes
110
Sysmiss
0
Skipped a meal because there was not enough money or other resources to get food
1002
0
0
No
950
1
Yes
52
Sysmiss
0
Ate less than you thought you should because of a lack of money or other resources
1001
1
0
No
935
1
Yes
66
Sysmiss
1
Household ran out of food because of a lack of money or other resources
1001
1
0
No
978
1
Yes
23
Sysmiss
1
Hungry but did not eat because there was not enough money or other resources for food?
1002
0
0
No
973
1
Yes
29
Sysmiss
0
Went without eating for a whole day because of a lack of money or other resources?
1001
1
0
No
974
1
Yes
27
Sysmiss
1
Post-stratification sampling weights
1002
0
0.305
2.939
1
0.677
Year when the GWP was administered in the country
1002
0
1
1
1002
Sysmiss
0
Number of adults 15 years of age and above in household
1002
0
01
01
16
02
02
188
03
03
212
04
04
235
05
05
187
06
06
76
07
07
50
08
08
22
09
09
8
10
10+
8
Sysmiss
0
Number of children under 15 years of age in household
1002
0
00
00
421
01
01
336
02
02
179
03
03
47
04
04
16
05
05
2
06
06
1
Sysmiss
0
Sum of Affirmative responses to FIES questions
999
3
0
8
0.489
1.194
Estimated person parameters using the Rasch model
999
3
-3.842
4.391
-3.343
1.193
Estimated person parameter errors using the Rasch model
999
3
0.99
1.935
1.786
0.304
Probability of being moderately or severely food insecure
999
3
0
0.992
0.049
0.157
Probability of being severely food insecure
999
3
0
0.903
0.01
0.079
Age of the respondent
1002
0
15
95
35.687
14.648
Education of the respondent
1002
0
1
Elementary_or_less
546
2
Secondary
415
3
College
41
4
Dont_know
0
5
Refused
0
Sysmiss
0
Area
1002
0
1
Urban/Suburbs
848
2
Towns/Rural
154
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1002
0
1
Male
472
2
Female
530
Sysmiss
0
Income quintile
1002
0
1
Poorest_20%
144
2
Second_20%
190
3
Middle_20%
206
4
Fourth_20%
224
5
Richest_20%
238
Sysmiss
0