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A regional perspective on poverty in Myanmar - United Nations ...

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Poverty <strong>in</strong> <strong>Myanmar</strong> 19<br />

Table 10: Average household underemployment gap per household member and S/R<br />

poor n<strong>on</strong>-poor Total<br />

Median Mean Median Mean Median Mean<br />

Kach<strong>in</strong> (+) 3.78 (+) 3.77 (+) 1.33 (+) 1.81 (+) 2.00 (+) 2.44<br />

Kayah (+) 2.50 (+) 4.64 (+) 3.27 (++) 4.17 (+) 3.20 (+) 4.21<br />

Kay<strong>in</strong> 0.45 -0.51 0.67 -0.09 0.67 -0.14<br />

Ch<strong>in</strong> -1.17 -0.41 -3.00 -2.41 -2.00 -1.17<br />

Saga<strong>in</strong>g 1.63 1.67 0.93 0.23 1.00 0.43<br />

Tan<strong>in</strong>thayi -3.33 -1.80 -3.56 -2.28 -3.33 -2.15<br />

Bago (East) (- -) -8.00 (-) -5.85 (-) -6.00 (-) -4.10 (-) -6.00 (-) -4.40<br />

Bago (West) 1.50 1.96 (+) 1.33 0.82 (+) 1.33 0.97<br />

Magway 1.00 1.66 1.00 1.10 1.00 1.24<br />

Mandalay (-) -5.00 (-) -4.68 -4.00 -3.64 -4.00 (-) -3.88<br />

M<strong>on</strong> -4.40 -2.86 -2.00 -1.54 -2.40 -1.72<br />

Rakh<strong>in</strong>e -0.14 0.89 1.00 0.97 0.67 0.94<br />

Yang<strong>on</strong> (-) -5.25 (-) -4.92 (-) -4.75 (-) -5.83 (-) -4.82 (-) -5.70<br />

Shan (South) -1.33 -0.79 -2.67 -1.13 -2.62 -1.07<br />

Shan (North) 1.33 1.29 -4.00 -3.52 -2.00 -1.92<br />

Shan (East) -2.00 -0.50 -2.50 -1.27 -2.40 -1.00<br />

Ayeyarwady -3.00 -1.49 -4.00 -2.60 -4.00 -2.28<br />

Total -1.26 -0.47 -1.58 -1.14 -1.39 -0.89<br />

Stdev 3.21 2.95 2.74 2.51 2.68 2.51<br />

Migrati<strong>on</strong><br />

Based <strong>on</strong> survey figures there were about <strong>on</strong>e milli<strong>on</strong> migrants <strong>in</strong> 2010. 16 This does possibly exclude<br />

the emigrants – those who settled abroad or <strong>in</strong> other regi<strong>on</strong>s without an <strong>in</strong>tenti<strong>on</strong> of return. This<br />

figure is highly likely <strong>on</strong> the very low side: al<strong>on</strong>e <strong>in</strong> Thailand there were about 1.45 milli<strong>on</strong> migrant<br />

workers officially registered <strong>in</strong> 2012. As unofficial migrati<strong>on</strong> is likely to be significantly higher than<br />

official migrati<strong>on</strong>, the apparent discrepancy is large.<br />

But <strong>on</strong>ly 6.3% of the households have migrant workers, with poor households be<strong>in</strong>g about 30% more<br />

likely to have migrant workers than n<strong>on</strong>-poor households. But there are str<strong>on</strong>g variati<strong>on</strong>s between<br />

the S/R: Ch<strong>in</strong>, Tan<strong>in</strong>thayi and Kay<strong>in</strong> do, for example, have up to five times more migrant send<strong>in</strong>g<br />

households as the nati<strong>on</strong>al average. As well, they would send by far the most migrant workers out<br />

per household.<br />

Remittances are very important for those households who receive them: at Uni<strong>on</strong> level,<br />

remittances make up about 57% of overall household expenditures (or 1.1 milli<strong>on</strong> Kyat per year),<br />

with 75% for rural and 45% for urban households. But at Uni<strong>on</strong> level, the importance of remittances<br />

does not appear very high, as it is <strong>on</strong>ly 3.4%. Based <strong>on</strong> these figures, the whole country would have<br />

received about US$ 80 milli<strong>on</strong> <strong>in</strong> 2010, lower than the World Bank’s estimate of US$ 133 milli<strong>on</strong>,<br />

which itself was however assumed to be a very low estimate.<br />

16 All <strong>in</strong>formati<strong>on</strong> based <strong>on</strong> UNDP. 2013. Role of remittances <strong>in</strong> ec<strong>on</strong>omic wellbe<strong>in</strong>g and <strong>poverty</strong>. Note that these results must be treated<br />

with much care: the survey is unlikely to be really representative, and the data base for such analysis appeared to be very small.

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