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Sri Lanka Human Development Report 2012.pdf

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Multidimensional poverty headcount(H) =<br />

(Number of multidimensionally poor persons)<br />

(Total population)<br />

= q n<br />

where q is the number of multidimensionally poor persons and<br />

n is the total population of the area considered in the analysis.<br />

The intensity of poverty, (A), reflects the proportion of weighted<br />

component indicators in which, on average, poor people are<br />

deprived. The deprivation scores are summed up for all the<br />

people living in the multidimensionally poor households and<br />

divided by the product of the total number of indicators and by<br />

the total number of multidimensionally (MD) poor people.<br />

kitchen’ for the DHS 2006/07 dataset. The change was done<br />

after consultations with regional experts<br />

The latest Household Income and Expenditure Survey (HIES<br />

2009-2010), conducted by the Department of Census and<br />

Statistics, has the latest data to calculate both consumption/<br />

income poverty and multidimensional poverty for 22 out of<br />

25 districts, including all three in the Eastern Province, and<br />

Jaffna and Vavuniya districts in the Northern Province. Again,<br />

∑ q i<br />

Intensity of poverty = A =<br />

c<br />

qd<br />

Sum of depreviation scores for all members in MD poor households<br />

=<br />

MD poor persons×number of indicators<br />

wherec is the total number of weighted deprivations the poor<br />

experience and d is the total number of component indicators<br />

considered (in this case 10).<br />

The MPI = MD poor population ×intensity of poverty=HA.<br />

The MPI represents the share of the population that is<br />

multidimensionally poor.<br />

The Datasets<br />

Micro-data from two national surveys, conducted by the<br />

Department of Census and Statistics, were used to calculate the<br />

MPI and related indices for <strong>Sri</strong> <strong>Lanka</strong>. The Demographic and<br />

Health Survey 2006/07 (DHS 2006-2007) provided all data<br />

to compute the MPI and related indices down to the district<br />

level. DHS2006/07 does not cover the districts in the Northern<br />

Province, however, and is somewhat dated. It also does not<br />

contain all standard indicators necessary to calculate the MPI.<br />

In particular, standard indicator nine, ‘household uses firewood<br />

as cooking fuel, but does not have a separate kitchen’, has been<br />

modified. Since around 80 percent of the households in <strong>Sri</strong><br />

<strong>Lanka</strong> use firewood for cooking, this indicator was changed<br />

to ‘household uses firewood as cooking fuel but no separate<br />

however, it does not contain all of the standard indicators<br />

required for the MPI. For example, the Household Income<br />

and Expenditure Surveys do not usually provide the necessary<br />

data to compute the two health indicators shown in Table T.4.<br />

Because of the importance of the health dimension, two suitable<br />

proxy indicators were used.<br />

The DHS 2006-2007 and HIES 2009-2010 datasets are not<br />

directly comparable: They share seven common indicators, but<br />

differ on three. An attempt was made to compare the health<br />

dimensions of the MPI derived from the two datasets, since<br />

health is fundamental to multidimensional poverty in <strong>Sri</strong> <strong>Lanka</strong>.<br />

If <strong>Sri</strong> <strong>Lanka</strong> considers the MPI sufficiently important, it may<br />

wish to include the relevant indicators in future surveys.<br />

Multidimensional Poverty Based on DHS<br />

2006/07<br />

The multidimensional poverty headcount for <strong>Sri</strong> <strong>Lanka</strong>,<br />

excluding the Northern Province and based on DHS 2006-<br />

2007, was seven percent. This was less than half the income<br />

poverty headcount based on HIES 2006/07 (Figure T.1 and<br />

Table A4). The MPI for <strong>Sri</strong> <strong>Lanka</strong> in 2006-2007 was 0.0278;<br />

per UNDP 2010, it was 0.021.<br />

172<br />

sri lanka <strong>Human</strong> <strong>Development</strong> report 2012

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