KGZ_2014_FIES_v01_EN_M_v01_A_OCS
DDI_KGZ_2014_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
KGZ_2014_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
KGZ_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
Kyrgyzstan
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.
KGZ_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.
1000
23
Nesstar 200801
Unique respondent identifier
1000
0
111117006
211001355
160610234.451
28703008.636
Worried you would not have enough food to eat because of a lack of money or other resources
967
33
0
No
654
1
Yes
313
Sysmiss
33
Unable to eat healthy and nutritious food because of a lack of money or other resources
950
50
0
No
712
1
Yes
238
Sysmiss
50
Ate only a few kinds of foods because of a lack of money or other resources
956
44
0
No
653
1
Yes
303
Sysmiss
44
Skipped a meal because there was not enough money or other resources to get food
960
40
0
No
846
1
Yes
114
Sysmiss
40
Ate less than you thought you should because of a lack of money or other resources
957
43
0
No
770
1
Yes
187
Sysmiss
43
Household ran out of food because of a lack of money or other resources
956
44
0
No
788
1
Yes
168
Sysmiss
44
Hungry but did not eat because there was not enough money or other resources for food?
966
34
0
No
886
1
Yes
80
Sysmiss
34
Went without eating for a whole day because of a lack of money or other resources?
959
41
0
No
894
1
Yes
65
Sysmiss
41
Post-stratification sampling weights
1000
0
0.295
2.95
1
0.713
Year when the GWP was administered in the country
1000
0
1
2014
1000
Sysmiss
0
Number of adults 15 years of age and above in household
1000
0
01
01
137
02
02
366
03
03
227
04
04
161
05
05
66
06
06
29
07
07
7
08
08
2
09
09
4
10
10+
1
Sysmiss
0
Number of children under 15 years of age in household
996
4
00
00
317
01
01
209
02
02
232
03
03
152
04
04
52
05
05
22
06
06
7
07
07
2
08
08
2
09
09
1
Sysmiss
4
Sum of Affirmative responses to FIES questions
919
81
0
8
1.531
2.207
Estimated person parameters using the Rasch model
919
81
-2.383
2.573
-1.462
1.323
Estimated person parameter errors using the Rasch model
919
81
0.596
1.048
0.888
0.189
Probability of being moderately or severely food insecure
919
81
0
0.997
0.198
0.339
Probability of being severely food insecure
919
81
0
0.747
0.038
0.141
Age of the respondent
1000
0
15
100
40.814
17.209
Education of the respondent
1000
0
1
Elementary_or_less
124
2
Secondary
649
3
College
223
4
Dont_know
0
5
Refused
4
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
204
2
Towns/Rural
796
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
364
2
Female
636
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
154
2
Second_20%
175
3
Middle_20%
214
4
Fourth_20%
212
5
Richest_20%
245
Sysmiss
0