UZB_2019_FIES_v01_EN_M_v01_A_OCS
DDI_UZB_2019_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
UZB_2019_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
UZB_2019_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
Uzbekistan
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.
UZB_2019_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.
1080
23
Nesstar 200801
Unique respondent identifier
1080
0
111184017
211097660
161321309.952
28550849.547
Worried you would not have enough food to eat because of a lack of money or other resources
1079
1
0
No
830
1
Yes
249
Sysmiss
1
Unable to eat healthy and nutritious food because of a lack of money or other resources
1078
2
0
No
907
1
Yes
171
Sysmiss
2
Ate only a few kinds of foods because of a lack of money or other resources
1077
3
0
No
792
1
Yes
285
Sysmiss
3
Skipped a meal because there was not enough money or other resources to get food
1078
2
0
No
919
1
Yes
159
Sysmiss
2
Ate less than you thought you should because of a lack of money or other resources
1070
10
0
No
854
1
Yes
216
Sysmiss
10
Household ran out of food because of a lack of money or other resources
1076
4
0
No
906
1
Yes
170
Sysmiss
4
Hungry but did not eat because there was not enough money or other resources for food?
1078
2
0
No
1024
1
Yes
54
Sysmiss
2
Went without eating for a whole day because of a lack of money or other resources?
1078
2
0
No
1032
1
Yes
46
Sysmiss
2
Post-stratification sampling weights
1080
0
0.32
3.2
1
0.741
Year when the GWP was administered in the country
1080
0
1
1
1080
Sysmiss
0
Number of adults 15 years of age and above in household
1080
0
01
01
122
02
02
246
03
03
244
04
04
231
05
05
143
06
06
61
07
07
21
08
08
7
09
09
3
10
10+
2
Sysmiss
0
Number of children under 15 years of age in household
1080
0
00
00
326
01
01
235
02
02
271
03
03
157
04
04
50
05
05
23
06
06
11
07
07
4
08
08
2
09
09
1
Sysmiss
0
Sum of Affirmative responses to FIES questions
1057
23
0
8
1.232
2.009
Estimated person parameters using the Rasch model
1057
23
-2.202
2.742
-1.492
1.171
Estimated person parameter errors using the Rasch model
1057
23
0.565
1.013
0.88
0.173
Probability of being moderately or severely food insecure
1057
23
0
0.999
0.16
0.312
Probability of being severely food insecure
1057
23
0
0.804
0.031
0.132
Age of the respondent
1080
0
15
89
41.607
17.151
Education of the respondent
1080
0
1
Elementary_or_less
124
2
Secondary
823
3
College
133
4
Dont_know
0
5
Refused
0
Sysmiss
0
Area
1080
0
1
Urban/Suburbs
198
2
Towns/Rural
882
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1080
0
1
Male
394
2
Female
686
Sysmiss
0
Income quintile
1080
0
1
Poorest_20%
178
2
Second_20%
193
3
Middle_20%
214
4
Fourth_20%
219
5
Richest_20%
276
Sysmiss
0