CMR_2017_FIES_v01_EN_M_v01_A_OCS
DDI_CMR_2017_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
CMR_2017_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
CMR_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
Cameroon
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.
CMR_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
111134553
211092670
161400874.156
28396042.273
Worried you would not have enough food to eat because of a lack of money or other resources
997
3
0
No
286
1
Yes
711
Sysmiss
3
Unable to eat healthy and nutritious food because of a lack of money or other resources
991
9
0
No
301
1
Yes
690
Sysmiss
9
Ate only a few kinds of foods because of a lack of money or other resources
994
6
0
No
273
1
Yes
721
Sysmiss
6
Skipped a meal because there was not enough money or other resources to get food
995
5
0
No
291
1
Yes
704
Sysmiss
5
Ate less than you thought you should because of a lack of money or other resources
995
5
0
No
269
1
Yes
726
Sysmiss
5
Household ran out of food because of a lack of money or other resources
993
7
0
No
334
1
Yes
659
Sysmiss
7
Hungry but did not eat because there was not enough money or other resources for food?
996
4
0
No
366
1
Yes
630
Sysmiss
4
Went without eating for a whole day because of a lack of money or other resources?
998
2
0
No
568
1
Yes
430
Sysmiss
2
Post-stratification sampling weights
1000
0
0.291
2.782
1
0.67
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
259
02
02
312
03
03
183
04
04
113
05
05
57
06
06
36
07
07
20
08
08
8
09
09
5
10
10+
7
Sysmiss
0
Number of children under 15 years of age in household
997
3
00
00
226
01
01
155
02
02
177
03
03
157
04
04
116
05
05
75
06
06
38
07
07
31
08
08
9
09
09
5
10
10+
8
Sysmiss
3
Sum of Affirmative responses to FIES questions
969
31
0
8
5.328
2.861
Estimated person parameters using the Rasch model
969
31
-3.411
4.115
1.28
2.653
Estimated person parameter errors using the Rasch model
969
31
0.848
1.637
1.328
0.314
Probability of being moderately or severely food insecure
969
31
0
0.997
0.703
0.398
Probability of being severely food insecure
969
31
0
0.914
0.454
0.397
Age of the respondent
1000
0
15
100
33.76
15.515
Education of the respondent
1000
0
1
Elementary_or_less
450
2
Secondary
521
3
College
21
4
Dont_know
6
5
Refused
2
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
352
2
Towns/Rural
648
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
457
2
Female
543
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
151
2
Second_20%
180
3
Middle_20%
195
4
Fourth_20%
217
5
Richest_20%
257
Sysmiss
0