KMH_2014_FIES_v01_EN_M_v01_A_OCS
DDI_KMH_2014_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
KMH_2014_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
KMH_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
Cambodia
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".
To use updated computed variables, users should merge the external resource NEW_Computed_Variables_Cambodia.csv to the original data set through the key Random_ID
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.
KMH_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
111137009
210934862
160111225.166
29160446.451
Worried you would not have enough food to eat because of a lack of money or other resources
997
3
0
No
358
1
Yes
639
Sysmiss
3
Unable to eat healthy and nutritious food because of a lack of money or other resources
996
4
0
No
402
1
Yes
594
Sysmiss
4
Ate only a few kinds of foods because of a lack of money or other resources
994
6
0
No
392
1
Yes
602
Sysmiss
6
Skipped a meal because there was not enough money or other resources to get food
997
3
0
No
701
1
Yes
296
Sysmiss
3
Ate less than you thought you should because of a lack of money or other resources
996
4
0
No
501
1
Yes
495
Sysmiss
4
Household ran out of food because of a lack of money or other resources
999
1
0
No
656
1
Yes
343
Sysmiss
1
Hungry but did not eat because there was not enough money or other resources for food?
999
1
0
No
650
1
Yes
349
Sysmiss
1
Went without eating for a whole day because of a lack of money or other resources?
997
3
0
No
724
1
Yes
273
Sysmiss
3
Post-stratification sampling weights
1000
0
0.282
2.993
1
0.774
Year when the GWP was administered in the country
1000
0
1
1
1000
Sysmiss
0
Number of adults 15 years of age and above in household
1000
0
01
01
101
02
02
397
03
03
181
04
04
167
05
05
87
06
06
39
07
07
18
08
08
4
09
09
2
10
10+
4
Sysmiss
0
Number of children under 15 years of age in household
1000
0
00
00
276
01
01
311
02
02
236
03
03
119
04
04
42
05
05
11
06
06
5
Sysmiss
0
Sum of Affirmative responses to FIES questions
988
12
0
8
3.612
2.898
Estimated person parameters using the Rasch model
988
12
-2.623
3.093
-0.132
2.015
Estimated person parameter errors using the Rasch model
988
12
0.683
1.224
0.947
0.235
Probability of being moderately or severely food insecure
988
12
0
0.997
0.509
0.428
Probability of being severely food insecure
988
12
0
0.84
0.197
0.32
Age of the respondent
1000
0
15
87
38.704
16.016
Education of the respondent
1000
0
1
Elementary_or_less
821
2
Secondary
139
3
College
40
4
Dont_know
0
5
Refused
0
Sysmiss
0
Area
1000
0
1
Urban/Suburbs
200
2
Towns/Rural
800
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1000
0
1
Male
353
2
Female
647
Sysmiss
0
Income quintile
1000
0
1
Poorest_20%
193
2
Second_20%
189
3
Middle_20%
191
4
Fourth_20%
216
5
Richest_20%
211
Sysmiss
0