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The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016, MPPN meeting, Acapulco.

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Page 1: The global Multidimensional Poverty Index (MPI) and the SDGs · 2016-11-10 · The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016 ... Sabina Alkire

The global Multidimensional

Poverty Index (MPI) and the

SDGs

Gisela Robles, 9 Nov 2016, MPPN meeting, Acapulco.

Page 2: The global Multidimensional Poverty Index (MPI) and the SDGs · 2016-11-10 · The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016 ... Sabina Alkire

High Resolution lenses

Alkire & Foster (AF) method

1) Incidence or the headcount ratio (H ), the percentage of people

who are poor.

2) Intensity of people’s deprivation (A), the average share of

dimensions (proportion of weighted deprivations) people suffer at the

same time.

Formula: MPI = M0 = H × A

Page 3: The global Multidimensional Poverty Index (MPI) and the SDGs · 2016-11-10 · The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016 ... Sabina Alkire

Dimensions, Indicators & Their Weights

Ten Indicators

Three

Dimensions

of Poverty

Nutrition

Child Mortality

Years of Schooling

School Attendance

Cooking FuelImproved SanitationSafe DrinkingWaterElectricityFlooringAsset Ownership

Health

Education

Living

Standard

1/3

1/3

1/3

1/6

1/6

1/6

1/6

1/18

1/18

1/18

1/18

1/18

1/18

Page 4: The global Multidimensional Poverty Index (MPI) and the SDGs · 2016-11-10 · The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016 ... Sabina Alkire

Population Coverage by Income Category

5.3 billion people living in all six geographical regions

MPI 2016 covers 93% of the combined population in

Middle and Low Income Countries

Income CategoriesPopulation in MPI

countries (million)

Total Pop in

regions

% Pop

covered

High income: OECD 0 1,063 0%

High income: non-OECD 43 292 14.6%

Upper middle income 2,046 2,350 87.1%

Lower middle income 2,657 2,760 96.3%

Low income 551 557 98.9%

Total 5,297 7,023 100%

Page 5: The global Multidimensional Poverty Index (MPI) and the SDGs · 2016-11-10 · The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016 ... Sabina Alkire

Global MPI findings

Page 6: The global Multidimensional Poverty Index (MPI) and the SDGs · 2016-11-10 · The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016 ... Sabina Alkire

Where MPI poor people live:

National Income Category

2012 Population Data

High income:

nonOECD1%

Upper middle income

39%Lower middle income

50%

Low income

10%

Total population by income category

High income: nonOECD

0%

Upper middle income

7%

Lower middle income

68%

Low income25%

MPI poor people by income category

Most poor people (75%) live in middle-income countries (MICS)

Page 7: The global Multidimensional Poverty Index (MPI) and the SDGs · 2016-11-10 · The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016 ... Sabina Alkire

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

South

Sud

an

Nig

er

Eth

iop

ia

Ch

ad

Burk

ina

Fas

o

Som

alia

Sie

rra

Leo

ne

Buru

ndi

Mal

i

Cen

tral

Afr

ican

Rep

ub

lic

Guin

ea-B

issa

u

Guin

ea

Co

ngo

, Dem

ocr

atic

Rep

ub

lic o

f th

e

Lib

eria

Uga

nd

a

Mo

zam

biq

ue

Tim

or-

Les

te

Mad

agas

car

Afg

han

ista

n

Tan

zania

, U

nited

Rep

ub

lic o

f

Ben

in

Gam

bia

Co

te d

'Ivo

ire

Sud

an

Sen

egal

Zam

bia

Mal

awi

Rw

and

a

Ind

ia

Nig

eria

Mau

rita

nia

To

go

Hai

ti

Cam

ero

on

Yem

en

Pak

ista

n

Nam

ibia

Ban

glad

esh

Ken

ya

Co

ngo

, Rep

ub

lic o

f

Co

moro

s

Les

oth

o

Sao

Tom

e an

d P

rin

cip

e

Lao

Peo

ple

's D

emo

crat

ic R

epub

lic

Gh

ana

Cam

bo

dia

Van

uat

u

Zim

bab

we

Djib

outi

Nep

al

Bh

uta

n

Boliv

ia, P

luri

nat

ion

al S

tate

of

Sw

azilan

d

Gab

on

Nic

arag

ua

Ho

nd

ura

s

Ind

on

esia

Mo

rocc

o

Taj

ikis

tan

Iraq

South

Afr

ica

Ph

ilip

pin

es

Per

u

Mo

ngo

lia

Guya

na

Vie

t N

am

Turk

men

ista

n

Suri

nam

e

Tri

nid

ad a

nd

To

bag

o

Co

lom

bia

Aze

rbai

jan

Bra

zil

Ch

ina

Mal

div

es

Dom

inic

an R

epub

lic

Bel

ize

Syr

ian A

rab

Rep

ub

lic

Egy

pt

Ecu

ador

Arg

enti

na

Mex

ico

Uzb

ekis

tan

Jam

aica

Jord

an

Th

aila

nd

Lib

ya

Alb

ania

Ukr

ain

e

Tun

isia

Pal

estin

e, S

tate

of

Sai

nt

Luci

a

Bar

bad

os

Geo

rgia

Mold

ova

, R

epub

lic o

f

Mac

edon

ia, T

he

form

er Y

ugo

slav

Rep

ub

lic o

f

Bosn

ia a

nd H

erze

govi

na

Kyr

gyzs

tan

Arm

enia

Mo

nte

neg

ro

Ser

bia

Kaz

akh

stan

Bel

arus

Comparing the Headcount Ratios of MPI Poor and $1.90/day Poor

Destitute MPI Poor people $1.90 a day within 3 years of MPI survey

Page 8: The global Multidimensional Poverty Index (MPI) and the SDGs · 2016-11-10 · The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016 ... Sabina Alkire

Annualized Changes in MPI for Africa

-4

-3

-2

-1

0

1

2

Rw

an

da 2

005-2

010

Gh

an

a 2

003-2

008

Th

e R

ep

ub

lic o

f th

e…

Mau

rita

nia

2007 -

2011

Lib

eri

a 2

007 -

2013

Th

e R

ep

ub

lic o

f th

e…

Tan

zan

ia 2

008-2

010

Ug

an

da 2

006-2

011

Bu

run

di

2005 -

2010

Nig

eri

a 2

003-2

008

Co

ng

o,

Dem

ocra

tic…

Ken

ya 2

003-2

009

Gam

bia

2006 -

2013

Sao

To

me a

nd

Pri

ncip

e…

Mo

zam

biq

ue 2

003-2

011

Zam

bia

2001-

2007

Mali

2006 -

2012

/13

Cam

ero

on

2004-2

011

Nam

ibia

2000-2

007

Co

te d

'Ivo

ire 2

005 -

2011

/12

Mala

wi

2004-2

010

Nig

er

2006-2

012

Cen

tral

Afr

ican

Rep

ub

lic…

Mad

ag

asc

ar

2004-2

009

MPI (H)

Page 9: The global Multidimensional Poverty Index (MPI) and the SDGs · 2016-11-10 · The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016 ... Sabina Alkire

$1.90/day

MPI

Page 10: The global Multidimensional Poverty Index (MPI) and the SDGs · 2016-11-10 · The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016 ... Sabina Alkire

10

Global MPI: Headline + Disaggregated detail

Leave No One Behind

Governance

Page 11: The global Multidimensional Poverty Index (MPI) and the SDGs · 2016-11-10 · The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016 ... Sabina Alkire

The Global MPI is used to

inform the SDGs

Page 12: The global Multidimensional Poverty Index (MPI) and the SDGs · 2016-11-10 · The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016 ... Sabina Alkire

“End poverty in all its forms

everywhere” by 2030.

Target 1.2: By 2030, reduce at least by half the proportion of men, women and children of all ages living in poverty in all its dimensions according to

national definitions

Bhutan, Chile, Colombia, Costa Rica, Ecuador, El Salvador,

Honduras, Mexico, Pakistan, Peru, Philippines, Seychelles, and

Viet Nam are reporting the incidence (H) of multidimensional

poverty associated with their global and/or national MPI for

SDG indicator 1.2.2

Page 13: The global Multidimensional Poverty Index (MPI) and the SDGs · 2016-11-10 · The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016 ... Sabina Alkire

A robust way to measure SDG

indicator 1.2.2.

The global MPI allows policy makers to:

Leave No One Behind : it tracks poverty for different

groups: sub-national regions, rural areas, children, ethnic

and caste groups.

Integrated, coordinated policy: it gives incentives to

coordinate policy, to break down silos for policy impact.

Universal relevance: indicators reflect contextual values

and different meanings of poverty.

Page 14: The global Multidimensional Poverty Index (MPI) and the SDGs · 2016-11-10 · The global Multidimensional Poverty Index (MPI) and the SDGs Gisela Robles, 9 Nov 2016 ... Sabina Alkire

OPHI-MPI Team 2016

OPHI Research Team: Sabina Alkire (Director), James Foster (Research Fellow), John Hammock (Co-Founder and

Research Associate), Adriana Conconi (coordination MPI 2013/14), José Manuel Roche (coordination MPI 2011, 2013), Maria Emma

Santos (coordination MPI 2010), Gisela Robles (coordination MPI 2015/16) Bouba Housseini, Christoph Jindra, Yangyang Shen, Ana

Vaz, Diego Zavaleta.

Data analysts and MPI calculation: Christoph Jindra, Lu Gram, Usha Kanagaratnam, Christian Oldiges, Monica

Pinilla Roncancio and Yangyang Shen.

Special contributions: Bouba Housseini (new Ground Reality Check field material), Alejandro Olayo-Mendez (Research

Assistance) and Conway Reinders, Mashrur Khan (country briefings edition)

Communication Team: Paddy Coulter (Director of Communications), Heidi Fletcher (Web Manager), Felipe Roa and

Joanne Tomkinson (Research Communications Assistants), Matthew Robson (Design Assistant).

Administrative Support: Rachel Pearson (OPHI Project Coordinator) and Emma-Jane Grieg

OPHI estimate the MPI, the UNDP Human Development Reports also publish it

and we are grateful to our colleagues in HDRO for their support.