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29<br />

A number of methods exist for calculating a multidimensi<strong>on</strong>al measurement of poverty.<br />

Figure I.5 shows outcomes based <strong>on</strong> <strong>the</strong> unmet basic needs method. The countries with <strong>the</strong> highest<br />

multidimensi<strong>on</strong>al poverty rates are also those with <strong>the</strong> highest rates of m<strong>on</strong>etary poverty.<br />

Multidimensi<strong>on</strong>al poverty rates came down in practically all of <strong>the</strong> countries of <strong>the</strong> regi<strong>on</strong> in <strong>the</strong> past<br />

decade (ECLAC, <str<strong>on</strong>g>20</str<strong>on</strong>g>11a).<br />

Figure I.5<br />

LATIN AMERICA (17 COUNTRIES): MULTIDIMENSIONAL POVERTY RATES, <str<strong>on</strong>g>20</str<strong>on</strong>g>00-<str<strong>on</strong>g>20</str<strong>on</strong>g>09 a<br />

(Percentages)<br />

70<br />

60<br />

50<br />

40<br />

30<br />

<str<strong>on</strong>g>20</str<strong>on</strong>g><br />

10<br />

0<br />

Nicaragua<br />

Guatemala<br />

H<strong>on</strong>duras<br />

Peru<br />

Bolivia (Plur. State of)<br />

El Salvador<br />

Paraguay<br />

Colombia b<br />

Brazil<br />

Mexico<br />

Argentina c<br />

Venezuela (Bol. Rep. of) b<br />

Dominican Rep.<br />

Ecuador c<br />

Costa Rica<br />

Uruguay c<br />

Chile<br />

<str<strong>on</strong>g>20</str<strong>on</strong>g>00 Most recent year<br />

Source: Ec<strong>on</strong>omic Commissi<strong>on</strong> for Latin America and <strong>the</strong> Caribbean (ECLAC), Social Panorama of Latin America <str<strong>on</strong>g>20</str<strong>on</strong>g>10<br />

(LC/G.2481-P), Santiago, Chile, <str<strong>on</strong>g>20</str<strong>on</strong>g>10. United Nati<strong>on</strong>s publicati<strong>on</strong>, Sales No. E.11.II.G.6.<br />

a<br />

The survey year used differs between countries. The period <str<strong>on</strong>g>20</str<strong>on</strong>g>00 corresp<strong>on</strong>ds to <strong>the</strong> latest survey available in <str<strong>on</strong>g>20</str<strong>on</strong>g>00, and <strong>the</strong><br />

period <str<strong>on</strong>g>20</str<strong>on</strong>g>09 represents <strong>the</strong> latest surveys available between <str<strong>on</strong>g>20</str<strong>on</strong>g>06 and <str<strong>on</strong>g>20</str<strong>on</strong>g>09.<br />

b<br />

The surveys available around <strong>the</strong> year <str<strong>on</strong>g>20</str<strong>on</strong>g>00 do not support a comparable estimate of multidimensi<strong>on</strong>al poverty.<br />

c<br />

The <strong>da</strong>ta relate to urban areas <strong>on</strong>ly.<br />

The multidimensi<strong>on</strong>al analysis of human security reveals <strong>the</strong> interrelati<strong>on</strong>ships and<br />

complementarities between <strong>the</strong> different dimensi<strong>on</strong>s of pers<strong>on</strong>al security (ec<strong>on</strong>omic, envir<strong>on</strong>mental,<br />

health, community, food and political) and provides insight into vulnerability and <strong>the</strong> critical events that<br />

have a bearing <strong>on</strong> people’s lives, <strong>the</strong>ir survival and <strong>the</strong>ir dignity as pers<strong>on</strong>s. If <strong>on</strong>e dimensi<strong>on</strong> is affected,<br />

ano<strong>the</strong>r or all of <strong>the</strong> o<strong>the</strong>rs may be as well. For example, lack of envir<strong>on</strong>mental security can also generate<br />

low food security, undermining health security. Precarious health can also have repercussi<strong>on</strong>s <strong>on</strong><br />

ec<strong>on</strong>omic security and so forth. The links between poverty, <strong>on</strong> <strong>the</strong> <strong>on</strong>e hand, and vulnerability to<br />

envir<strong>on</strong>mental degra<strong>da</strong>ti<strong>on</strong> and natural disasters, <strong>on</strong> <strong>the</strong> o<strong>the</strong>r, have become increasingly stark. The most<br />

disadvantaged sectors of <strong>the</strong> populati<strong>on</strong> are also <strong>the</strong> most likely to suffer loss of income and assets in <strong>the</strong><br />

event of ec<strong>on</strong>omic and envir<strong>on</strong>mental events that encroach up<strong>on</strong> <strong>the</strong> various aspects of human security.<br />

They suffer most <strong>from</strong> diseases associated with exposure to toxic products, waste, and polluted water and

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