NAM_2017_FIES_v01_EN_M_v01_A_OCS
DDI_NAM_2017_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
NAM_2017_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
NAM_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
Namibia
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.
NAM_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
111198255
211099768
159956784.8
29310760.18
Worried you would not have enough food to eat because of a lack of money or other resources
997
3
0
No
362
1
Yes
635
Sysmiss
3
Unable to eat healthy and nutritious food because of a lack of money or other resources
998
2
0
No
341
1
Yes
657
Sysmiss
2
Ate only a few kinds of foods because of a lack of money or other resources
997
3
0
No
271
1
Yes
726
Sysmiss
3
Skipped a meal because there was not enough money or other resources to get food
997
3
0
No
469
1
Yes
528
Sysmiss
3
Ate less than you thought you should because of a lack of money or other resources
999
1
0
No
362
1
Yes
637
Sysmiss
1
Household ran out of food because of a lack of money or other resources
999
1
0
No
422
1
Yes
577
Sysmiss
1
Hungry but did not eat because there was not enough money or other resources for food?
998
2
0
No
458
1
Yes
540
Sysmiss
2
Went without eating for a whole day because of a lack of money or other resources?
999
1
0
No
627
1
Yes
372
Sysmiss
1
Post-stratification sampling weights
1000
0
0.287
2.871
1
0.703
Year when the GWP was administered in the country
1000
0
1
2017
1000
Sysmiss
0
Number of adults 15 years of age and above in household
1000
0
01
01
534
02
02
230
03
03
112
04
04
71
05
05
24
06
06
17
07
07
6
08
08
3
09
09
2
10
10+
1
Sysmiss
0
Number of children under 15 years of age in household
997
3
00
00
187
01
01
178
02
02
208
03
03
179
04
04
106
05
05
52
06
06
50
07
07
15
08
08
5
09
09
7
10
10+
10
Sysmiss
3
Sum of Affirmative responses to FIES questions
992
8
0
8
4.689
3.023
Estimated person parameters using the Rasch model
992
8
-2.403
3.683
0.841
2.277
Estimated person parameter errors using the Rasch model
992
8
0.756
1.465
1.155
0.291
Probability of being moderately or severely food insecure
992
8
0
0.997
0.652
0.422
Probability of being severely food insecure
992
8
0
0.891
0.361
0.382
Age of the respondent
1000
0
15
100
31.348
13.375
Education of the respondent
1000
0
1
Elementary_or_less
266
2
Secondary
649
3
College
80
4
Dont_know
3
5
Refused
2
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
244
2
Towns/Rural
756
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
327
2
Female
673
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
171
2
Second_20%
198
3
Middle_20%
183
4
Fourth_20%
207
5
Richest_20%
241
Sysmiss
0