MMR_2019_RIMA_v01_EN_M_v01_A_OCS
DDI_MMR_2019_RIMA_v01_EN_M_v01_A_OCS_FAO
Ellestina Jumbe
Office of Chief Statistician
Nesstar Publisher
MMR_2019_RIMA_v01_EN_M_v01_A_OCS_v01
Resilience Index Measurement and Analysis, 2019
RIMA 2019
MMR_2019_RIMA_v01_EN_M_v01_A_OCS
FAO RIMA Team
Nesstar Publisher
FAO RIMA Team
Other Household Survey [hh/oth]
This data is the baseline of the Resilience Index Measurement Analysis conducted under the Global Network Against Food Crisis (GNAFC) Partnership Programme Country Investment in Myanmar.
The baseline survey of beneficiaries targeted by project GCP/MYA/028/EC is designed to feed into the overall monitoring, evaluation, accountability and learning agenda of the Global Network against Food Crises Partnership Programme. In this regard, the baseline has short, medium and long-term objectives. In the short-term, the baseline will provide feedback on the project's theory of change – whether it is well-conceived in terms of project entry points or if some adjustments/complementary actions are to be considered. From the analysis, the programming team can ascertain if the strategy of the project will address the critical factors for resilience to food insecurity. It also serves to support the targeting strategy of the project to ensure that the criteria for selection are aligned with local profiles and realities of the implementation context.
Myanmar
Regional Coverage
Households
GNAFC project beneficiaries
Sample survey data [ssd]
Access to basic services; assets; social safety nets; adaptive capacity; food security; shocks; household demograpghic characteristics.
In total, 300 beneficiaries or 6% of the total 4,500 project beneficiaries were randomly selected from the beneficiary list made available by the implementing partner. The sample can be considered representative of the overall beneficiary population with a ±5% margin of error at a 95% confidence level.
Due to the delay in receiving travel authorizations to the project areas, FAO M&E officers and field assistants could not travel to the sampled villages but had to administer the questionnaires from offices located in Buthidaung and Maungdaw township (the respective District headquarters) from the 13th to 18 August 2019. The selected beneficiaries were, therefore, requested to reach the interview locality with FAO covering the cost of the travel. Moreover, and due to heightened insecurity at the time of the survey, Rathedaung township was not accessible, thus reducing the possibility to interview beneficiaries from this township and further reducing the sample size.
Computer Assisted Personal Interview [capi]
The data were collected through computer-assisted personal interviewing (CAPI) with digital tablets. The use of electronic devices reduces the duration of interviews, limits errors during the interview and data entry phases, and enables the collection of geographic information system (GIS) information at the household level. The data were transmitted daily through Kobo Toolbox, a suite of software tools for data collection in challenging environments, allowing for the use of remote data control protocols.
The datasets were anonymized using different statistical disclosure control methods. Household sizes were recoded into groups/intervals, while some values were suppressed.
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
FAO. Resilience Index Measurement and Analysis (RIMA), Myanmar, 2019. Dataset downloaded from https://microdata.fao.org.
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
anon_df.NSDstat
304
159
Nesstar 200801
304
0
No
129
Yes
175
304
0
No
85
Yes
219
304
0
No
129
Yes
175
304
0
0
999
23.564
150.025
304
0
0
999
17.112
127.19
304
0
0
999
307.876
459.628
304
0
0
999
16.224
113.698
304
0
0.5
999
7.028
57.128
304
0
0
999
17.124
127.185
304
0
0
1
0.0362
0.187
0
No
293
1
Yes
11
304
0
0
1
0.345
0.476
0
No
199
1
Yes
105
304
0
0
1
0.0493
0.217
0
No
289
1
Yes
15
304
0
0
1
0.849
0.359
0
No
46
1
Yes
258
304
0
0
1
0.543
0.499
0
No
139
1
Yes
165
304
0
0
1
0.595
0.492
0
No
123
1
Yes
181
304
0
0
1
0.00987
0.099
0
No
301
1
Yes
3
304
0
0
1
0.0592
0.236
0
No
286
1
Yes
18
304
0
0
1
0.0362
0.187
0
293
1
11
304
0
0
3
0.375
0.549
0
199
1
97
2
7
3
1
304
0
0
1
0.0493
0.217
0
289
1
15
304
0
0
11
1.178
0.969
0
46
1
189
2
52
3
11
4
4
5
1
11
1
304
0
0
18
1.276
1.994
0
139
1
66
2
62
3
7
4
16
5
1
6
6
7
1
8
2
9
1
10
1
12
1
18
1
304
0
0
4
0.806
0.799
0
123
1
125
2
49
3
6
4
1
304
0
0
1
0.00987
0.099
0
301
1
3
304
0
0
1
0.0164
0.127
0
No
299
1
Yes
5
304
0
0
1
0.671
0.471
0
No
100
1
Yes
204
304
0
0
1
0.595
0.492
0
No
123
1
Yes
181
304
0
0
1
0.941
0.236
0
No
18
1
Yes
286
304
0
0
12.8
2.541
1.667
304
0
0
1
0.562
0.497
0
No
133
1
Yes
171
304
0
0
1
0.342
0.475
0
No
200
1
Yes
104
304
0
0
1
0.826
0.38
0
No
53
1
Yes
251
304
0
0
0
0
0
0
No
304
1
Yes
0
304
0
0
1
0.0526
0.224
0
No
288
1
Yes
16
304
0
0
18
1.638
2.186
0
133
1
26
2
84
3
15
4
21
5
8
6
9
7
1
8
2
9
2
10
1
12
1
18
1
304
0
0
8
0.898
1.621
0
201
1
30
2
32
3
17
4
9
5
7
6
2
7
3
8
3
304
0
0
40
5.888
6.062
304
0
0
0
0
0
0
304
304
0
0
1
0.967
0.179
0
No
10
1
Yes
294
304
0
0
1
0.0132
0.114
0
No
300
1
Yes
4
304
0
0
1
0.0197
0.139
0
No
298
1
Yes
6
304
0
0
1
0.0329
0.179
0
No
294
1
Yes
10
304
0
0
1
0.78
0.415
0
No
67
1
Yes
237
304
0
0
1
0.0164
0.127
0
No
299
1
Yes
5
304
0
0
2600
268.987
287.446
304
0
0
6
0.0691
0.601
0
300
5
3
6
1
304
0
0
115
0.609
7.202
304
0
0
150
0.944
9.336
304
0
0
4672
87.247
332.667
304
0
0
3000000
237582.24
350639.668
304
0
0
7670000
503828.326
640698.072
304
0
0
600000
4430.954
44896.671
304
0
0
1
0.234
0.424
0
No
233
1
Yes
71
304
0
0
1
0.862
0.346
0
No
42
1
Yes
262
304
0
0
5
0.266
0.617
0
243
1
46
2
12
3
2
5
1
303
1
0
10
2.271
1.915
0
61
1
50
2
78
3
52
4
19
5
26
6
10
7
2
8
2
10
3
Sysmiss
1
304
0
No
157
Yes
147
304
0
0
15
4.043
3.943
0
114
1
4
2
11
3
19
4
13
5
56
6
6
7
6
8
12
9
22
10
13
11
27
15
1
304
0
0
41
6.629
4.304
304
0
0
15
4.483
3.13
304
0
0
1
0.954
0.21
0
No
14
1
Yes
290
304
0
0
1
0.105
0.307
0
No
272
1
Yes
32
304
0
0
1
0.00658
0.081
0
No
302
1
Yes
2
304
0
0
1
0.0461
0.21
0
No
290
1
Yes
14
304
0
0
1
0.638
0.481
0
No
110
1
Yes
194
304
0
0
1
0.247
0.432
0
No
229
1
Yes
75
304
0
0
1
0.00987
0.099
0
No
301
1
Yes
3
304
0
0
350000
38990.151
33528.841
304
0
0
100
63.34
28.896
304
0
0
500000
10388.47
40621.989
304
0
0
160000
6885.214
13792.146
304
0
0
2021000
34250.345
165352.072
304
0
0
711
9.049
40.409
304
0
0
7
2.546
1.614
0
21
1
58
2
93
3
61
4
34
5
24
7
13
304
0
0
7
1.184
1.439
0
149
1
42
2
54
3
37
4
15
5
5
7
2
304
0
0
7
4.753
1.813
0
3
1
9
2
27
3
40
4
47
5
75
6
22
7
81
304
0
0
7
4.444
2.22
0
6
1
27
2
42
3
47
4
24
5
46
6
11
7
101
304
0
0
5
0.53
1.001
0
221
1
30
2
36
3
12
4
2
5
3
304
0
0
7
0.543
1.062
0
217
1
40
2
31
3
7
4
5
5
3
7
1
304
0
0
5
0.75
1.036
0
171
1
69
2
39
3
21
4
2
5
2
304
0
0
5
1.641
1.034
0
33
1
119
2
92
3
46
4
12
5
2
304
0
0
7
1.911
1.41
0
27
1
129
2
66
3
34
4
27
5
17
6
3
7
1
304
0
0
7
2.763
1.946
0
9
1
101
2
54
3
48
4
33
5
27
6
4
7
28
304
0
0
7
1.931
1.721
0
49
1
115
2
54
3
33
4
27
5
11
6
3
7
12
304
0
0
7
0.362
1.143
0
250
1
36
2
9
3
1
5
1
6
1
7
6
304
0
0
7
4.592
2.768
0
19
1
74
2
9
3
3
4
9
5
32
6
7
7
151
304
0
0
7
2.339
2.369
0
73
1
89
2
33
3
30
4
16
5
18
6
3
7
42
304
0
0
7
4.467
2.71
0
16
1
68
2
19
3
15
4
16
5
19
6
9
7
142
304
0
No
253
Yes
51
304
0
0
7
1.049
1.445
0
174
1
23
2
58
3
30
4
9
5
8
7
2
304
0
0
5
0.372
0.798
0
236
1
36
2
21
3
10
5
1
304
0
0
7
0.697
1.465
0
225
1
20
2
24
3
21
4
4
5
2
6
1
7
7
304
0
0
7
0.211
0.801
0
275
1
12
2
8
3
6
5
1
6
1
7
1
304
0
0
7
0.204
0.761
0
274
1
13
2
10
3
4
5
2
7
1
304
0
0
5
0.128
0.597
0
286
1
7
2
5
3
4
5
2
304
0
0
5
0.27
0.708
0
253
1
31
2
12
3
6
4
1
5
1
304
0
0
5
0.372
0.888
0
250
1
14
2
25
3
13
5
2
304
0
0
5
0.28
0.782
0
261
1
17
2
13
3
11
4
1
5
1
304
0
0
5
0.227
0.693
0
267
1
13
2
20
3
2
5
2
304
0
0
1
0.0559
0.23
0
No
287
1
Yes
17
304
0
0
1
0.0888
0.285
0
No
277
1
Yes
27
304
0
0
1
0.224
0.417
0
No
236
1
Yes
68
304
0
0
1
0.197
0.399
0
No
244
1
Yes
60
304
0
0
1
0.102
0.303
0
No
273
1
Yes
31
304
0
0
1
0.309
0.463
0
No
210
1
Yes
94
304
0
0
1
0.253
0.436
0
No
227
1
Yes
77
304
0
0
1
0.454
0.499
0
No
166
1
Yes
138
304
0
0
1
0.0724
0.26
0
No
282
1
Yes
22
304
0
0
1
0.00329
0.0574
0
No
303
1
Yes
1
304
0
0
1
0.00329
0.0574
0
No
303
1
Yes
1
304
0
0
1
0.0263
0.16
0
No
296
1
Yes
8
304
0
0
1
0.0625
0.242
0
No
285
1
Yes
19
304
0
0
1
0.00329
0.0574
0
No
303
1
Yes
1
304
0
0
1
0.0428
0.203
0
No
291
1
Yes
13
304
0
0
1
0.25
0.434
0
No
228
1
Yes
76
13
0
Children health issue
1
Difficult for trading by limited access
1
Difficult to cleanthe vegetable garden on the mountatin
1
Difficulties to get food, limited access to the mountain due to the conflict
1
Elephant destory the paddy and restriction sometime
1
Elephant destory the paddy plant
2
Health issue
1
Lack of job opportunities
1
Prawn were recently stolen by Theft
1
1
Restriction due to conflict.time limite
1
To provide the Government debt for Agri purpose
1
17
0
Do nothing
11
Purchased items on credit and borrowed
4
Reduced meal quantities and quality
1
Sold Household Food Stock
1
27
0
Consumed wild foods (hunting, wild fruits)
2
Decreased expenditures on agricultural inputs
1
Do nothing
6
Purchased items on credit and borrowed
8
Reduced meal quantities and quality
5
Relied on Relatives and Friends Network
1
Relied on relief assistance (Gov, NGOs, UN, etc.)
2
Sold more animals than usual
2
68
0
Do nothing
37
Other (Specify)
3
Purchased items on credit and borrowed
9
Reduced meal quantities and quality
7
Relied on Community or Religious Network
1
Relied on Relatives and Friends Network
2
Sold Farm equipments and inputs
1
Sold Household Food Stock
2
Sold more animals than usual
3
Spent savings
3
3
0
No
2
Take the water from another village
1
60
0
Decreased expenditures on agricultural inputs
2
Decreased expenditures on food items
1
Do nothing
22
Other (Specify)
4
Purchased items on credit and borrowed
17
Reduced meal quantities and quality
3
Relied on Relatives and Friends Network
3
Relied on relief assistance (Gov, NGOs, UN, etc.)
1
Rented out land and animals (buffalo, donkey, horses etc)
1
Sold Farm equipments and inputs
1
Sold Household Food Stock
1
Sold more animals than usual
1
Spent savings
3
3
0
Buying the pesticide
2
Not so bed
1
31
0
Decreased expenditures on food items
1
Do nothing
9
Other (Specify)
6
Purchased items on credit and borrowed
6
Reduced meal quantities and quality
1
Relied on Relatives and Friends Network
1
Sold more animals than usual
6
Spent savings
1
1
303
0
0
0
0
1
Sysmiss
303
94
0
Consumed wild foods (hunting, wild fruits)
1
Decreased expenditures on agricultural inputs
2
Decreased expenditures on food items
3
Do nothing
21
Other (Specify)
1
Purchased items on credit and borrowed
29
Reduced meal quantities and quality
29
Relied on Relatives and Friends Network
1
Relied on relief assistance (Gov, NGOs, UN, etc.)
1
Sold Farm equipments and inputs
1
Sold more animals than usual
1
Spent savings
4
4
0
No
4
77
0
Consumed wild foods (hunting, wild fruits)
4
Decreased expenditures on food items
1
Do nothing
47
Harvested and consumed immature crops
1
Other (Specify)
2
Purchased items on credit and borrowed
13
Reduced meal quantities and quality
5
Relied on Relatives and Friends Network
1
Spent savings
3
3
0
Buy the pesticide from the shop closed by
1
No
1
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1
138
0
Consumed seed stock that will be needed for next season
1
Consumed wild foods (hunting, wild fruits)
2
Decreased expenditures on food items
4
Do nothing
29
Harvested and consumed immature crops
1
Purchased items on credit and borrowed
42
Reduced meal quantities and quality
47
Relied on Relatives and Friends Network
3
Sold Farm equipments and inputs
1
Sold Household Food Stock
2
Spent savings
6
6
0
No
6
22
0
Consumed seed stock that will be needed for next season
1
Decreased expenditures on agricultural inputs
1
Decreased expenditures on food items
1
Purchased items on credit and borrowed
10
Relied on Community or Religious Network
1
Relied on Relatives and Friends Network
2
Sold Farm equipments and inputs
1
Sold house or land
1
Spent savings
4
4
0
No
1
Sell all paddy that they harvest
1
Sell paddy/cow
1
The main income earner was sick and take loan for this.
1
1
0
Spent savings
1
1
0
No
1
1
0
Relied on relief assistance (Gov, NGOs, UN, etc.)
1
8
0
Sold more animals than usual
6
Spent savings
2
2
0
Buying the unnecessary things by saving money
1
No
1
19
0
Consumed wild foods (hunting, wild fruits)
1
Other (Specify)
1
Purchased items on credit and borrowed
15
Relied on Community or Religious Network
1
Relied on relief assistance (Gov, NGOs, UN, etc.)
1
1
0
Relied on relief assistance (Gov, NGOs, UN, etc.)
1
13
0
Do nothing
2
Purchased items on credit and borrowed
7
Relied on relief assistance (Gov, NGOs, UN, etc.)
1
Sold Household Food Stock
1
Spent savings
2
2
0
No
1
No additionl
1
303
0
Female
32
Male
271
304
0
0
4
0.648
0.839
0
164
1
96
2
33
3
9
4
2
304
0
0
9
0.694
0.972
0
159
1
96
2
42
3
4
4
1
6
1
9
1
304
0
0
6
1.234
1.206
0
101
1
99
2
54
3
37
4
9
5
3
6
1
304
0
0
6
1.322
1.259
0
94
1
99
2
54
3
40
4
11
5
5
6
1
304
0
0
7
1.586
1.005
0
15
1
163
2
82
3
29
4
9
5
5
7
1
304
0
0
6
1.655
0.99
0
5
1
173
2
71
3
38
4
13
5
2
6
2
304
0
0
1
0.0691
0.254
0
283
1
21
304
0
0
1
0.0921
0.29
0
276
1
28
296
8
1
7
3.878
1.377
1
8
2
42
3
68
4
85
5
57
6
25
7
11
Sysmiss
8
304
0
0
10
2.454
2.104
0
60
1
48
2
81
3
29
4
38
5
20
6
14
7
5
8
5
9
2
10
2
304
0
No
285
Yes
19
304
0
Rakhine
304
304
0
Buthidaung
227
Maungdaw
77
266
0
(Du) Chee Yar Tan
11
Da Hpu Chaung
27
42
Ka Kyet Bet Kan Pyin
19
Kyauk Hpyu Taung
27
Kyee Kan Pyin
3
Laung Chaung
25
Myaung Nar
29
Nan Yar kone
2
Nga Kyi Tauk
21
Nyaung Chaung
18
Pan Taw Pyin
26
Tat U Chaung
13
Thayet Kin Manu
3
301
0
Dinet
16
Muslim
239
Rakhine
46
304
0
Agriculture
146
Agriculture (winter crop)
20
Agriculture (winter crop) and Fishries
1
Agriculture (winter crop) and casual labour
2
Agriculture (winter crop) and fishries
2
Agriculture (winter crop) and small business
1
Agriculture (winter crop) and staff salary
1
Agriculture (winter crop) and trading
1
Agriculture and Car-driver
1
Agriculture and Carpenter
4
Agriculture and Foresty product
1
Agriculture and Pharmacy
1
Agriculture and Power tiller renting
1
Agriculture and Satff salary
1
Agriculture and Tailor business
1
Agriculture and Tok Tok Driver
4
Agriculture and Trading
3
Agriculture and Tution teacher
1
Agriculture and bamboo trading
2
Agriculture and casual labour
22
Agriculture and construction worker
1
Agriculture and fisheries
4
Agriculture and livestock
28
Agriculture and shop
6
Agriculture and staff salary
1
Agriculture and trading
1
Agriculture and volunteer teacher
1
Agriculture, Casual labor and small fish pond
1
Agriculture, Fishries and Forest Product
1
Agriculture, Livestock and Fishries
4
Agriculture, Livestock and casual labour
1
Agriculture, Livestock, Nipa palm and bamboo selling in the summer season
1
Agriculture, carpenter and fishries
1
Agriculture, livestock and Motorbike ferry
1
Agriculture, livestock and Trading
2
Agriculture, livestock and betal leaf seller
1
Agriculture, livestock and casual labour
9
Agriculture, livestock and shop
1
Agriculture, livestork and car driver
1
Agriculture, trading, fishries
1
Agriculture, winter crop, Vegetable gardening and Community Health worker
1
Agriculture,Livestock and Power Tiller driver
1
Agriculture,livestock and casual labor
1
Agricutlure and Livestock
5
Car taxi and shop
1
Carpenter
2
Casual Labour
2
Casual labour
1
Livestock and casual labour
1
Renting Land, Agriculture and Gardening
1
Shop
1
Taxi
1
Tok Tok driver
1
Trading
2
304
0
65150897
65156607
65153856.168
1903.58