BWA_2019_FIES_v01_EN_M_v01_A_OCS
DDI_BWA_2019_FIES_v01_EN_M_v01_A_OCS_FAO
Office of the Chief Statistician
Nesstar Publisher
BWA_2019_FIES_v01_EN_M_v01_A_OCS_v01
Food Insecurity Experience Scale (FIES)
FIES
BWA_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
Botswana
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.
BWA_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.
1114
23
Nesstar 200801
Unique respondent identifier
1114
0
111111666
211077468
161301016.373
28965035.237
Worried you would not have enough food to eat because of a lack of money or other resources
1108
6
0
No
403
1
Yes
705
Sysmiss
6
Unable to eat healthy and nutritious food because of a lack of money or other resources
1109
5
0
No
402
1
Yes
707
Sysmiss
5
Ate only a few kinds of foods because of a lack of money or other resources
1092
22
0
No
348
1
Yes
744
Sysmiss
22
Skipped a meal because there was not enough money or other resources to get food
1106
8
0
No
483
1
Yes
623
Sysmiss
8
Ate less than you thought you should because of a lack of money or other resources
1103
11
0
No
399
1
Yes
704
Sysmiss
11
Household ran out of food because of a lack of money or other resources
1098
16
0
No
403
1
Yes
695
Sysmiss
16
Hungry but did not eat because there was not enough money or other resources for food?
1111
3
0
No
526
1
Yes
585
Sysmiss
3
Went without eating for a whole day because of a lack of money or other resources?
1110
4
0
No
729
1
Yes
381
Sysmiss
4
Post-stratification sampling weights
1114
0
0.297
2.972
1
0.804
Year when the GWP was administered in the country
1114
0
1
1
1114
Sysmiss
0
Number of adults 15 years of age and above in household
1114
0
01
01
371
02
02
327
03
03
211
04
04
100
05
05
59
06
06
20
07
07
12
08
08
7
09
09
4
10
10+
3
Sysmiss
0
Number of children under 15 years of age in household
1107
7
00
00
353
01
01
194
02
02
208
03
03
140
04
04
89
05
05
47
06
06
36
07
07
17
08
08
10
09
09
2
10
10+
11
Sysmiss
7
Sum of Affirmative responses to FIES questions
1063
51
0
8
4.69
3.046
Estimated person parameters using the Rasch model
1063
51
-3.532
4.085
0.626
2.802
Estimated person parameter errors using the Rasch model
1063
51
0.869
1.69
1.349
0.328
Probability of being moderately or severely food insecure
1063
51
0
0.995
0.617
0.429
Probability of being severely food insecure
1063
51
0
0.904
0.369
0.386
Age of the respondent
1114
0
15
100
40.185
21.745
Education of the respondent
1114
0
1
Elementary_or_less
278
2
Secondary
676
3
College
144
4
Dont_know
9
5
Refused
7
Sysmiss
0
Area
1114
0
1
Urban/Suburbs
276
2
Towns/Rural
838
3
Dont_know
0
4
Refused
0
Sysmiss
0
Gender of the respondent
1114
0
1
Male
415
2
Female
699
Sysmiss
0
Income quintile
1114
0
1
Poorest_20%
169
2
Second_20%
189
3
Middle_20%
207
4
Fourth_20%
234
5
Richest_20%
315
Sysmiss
0