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Workshop on MDG Monitoring: 2015 and beyond MDG’s in Asia and the Pacific 9-13 July, 2012 Bangkok, Thailand 1

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Workshop on MDG Monitoring:

2015 and beyond

MDG’s in Asia and the Pacific

9-13 July, 2012

Bangkok, Thailand

1

Introduction

• Introduction

• Progress assessment

• UN MDG Indicators database

• Asia-Pacific Regional MDG Report 2011/12

– Key findings

• Progress in selected countries and indicators

• Disparities within countries

• Summary

2

Introduction

• Since 2004, the ESCAP/ADB/UNDP partnership has produced

seven successive regional reports on the achievements of

the MDGs in Asia and the Pacific

• The progress assessments are based on the latest available

data from the global database on official MDG Indicators

• Analysis of the trends and calculation of simple projections

determine whether countries are on or off track

• Four categories are used:

● Early achiever: Already achieved the 2015 target

� On track: Expected to meet the target by 2015

� Off track-Slow: Expected to meet the target, but after 2015

� Off track-No progress/regressing: Stagnating or slipping

backwards 3

Progress assessment

• The progress assessment for a given MDG target is produced

on the basis of the trend since 1990

• It requires a minimum of two data points that are at least

three years apart (sufficient for estimating trends)

• Data from UN MDG Indicators database as of 30 September

2011

• No assessments for Goal 8

4

UN MDG Indicators database

• Product of Inter-Agency Group and Expert Group on MDG

Indicators (IAEG)

• Data typically drawn from official statistics provided by

ministries and national statistical offices to international

agencies

• International agencies may:

– Adjust figures to ensure comparability across countries

– Fill gaps by using data from surveys like DHS, MICS

• Also, countries may have more recent data

• Therefore: discrepancies may occur between national and

international data series, possibly resulting in differences in

assessing progress

5

UN MDG Indicators database

• The picture on data availability is positive

• Since 2011 sufficient comparable data are available to assess

progress towards a reduction by three quarters, between

1990 and 2015, of the maternal mortality ratio

• For 18 indicators, data availability for supporting progress

tracking improved considerably between 2004 and 2011

except for 3 countries (China, Viet Nam and PNG) for which

the number of indicators with insufficient data for the

assessment remained the same between 2004 and 2011

6

Asia-Pacific Regional MDG Report 2011/12

Accelerating Equitable Achievement of the MDGs

Closing Gaps in Health and Nutrition Outcomes

ESCAP/ADB/UNDP partnership in collaboration with UNFPA, UNICEF and WHO

Launched in New Delhi on 17 February 2012

7th in series since 2004 7

Key findings

• Progress has been impressive but uneven

• Particular challenges in achieving health and nutrition

targets

• Countries lagging behind need to accelerate in progress

– Large gaps in achievement across countries

• National efforts also need to target disadvantaged

population groups

– Within-country disparities as large as cross-country disparities

• Eight-point strategy to close gaps

8

Progress in achieving MDG targets in Asia and the Pacific

9

Compared to other developing regions

• Asia and the Pacific is generally making better progress

towards the MDG targets than sub-Saharan Africa

• But is lagging behind Latin America and the Caribbean

10

Scale of deprivation is large

• On most indicators, because of the region’s large population

it is also home to a high proportion of the world’s deprived

people

11

Progress in selected countries

12

$1.25 per day poverty

13

Country

Affected population in 2015 on current trend

(thousands)

Annual decrease needed to reach target,

percentage points

Affected population in 2015 if target reached

(thousands)

Saving in human cost if target reached

(thousands)Philippines 17,136.53 0.81 15,691.03 1,445.49

Mongolia 536.38 1.30 280.37 256.01

Bangladesh 59,605.76 1.62 53,370.77 6,234.98

Nepal 11,906.33 1.90 11,312.76 593.57

Underweight children

14

Country

Affected population in 2015 on current trend

(thousands)

Annual decrease needed to reach target,

percentage points

Affected population in 2015 if target reached

(thousands)

Saving in human cost if target reached

(thousands)Philippines 1,825.08 0.48 1,730.52 94.56

Indonesia 3,267.21 0.59 3,089.71 177.50

Bhutan 7.48 0.71 4.99 2.49

Pakistan 5,000.44 0.84 4,308.78 691.66

Myanmar 1,075.97 1.27 557.32 518.65

Lao PDR 187.81 1.30 132.96 54.85

Nepal 1,287.32 1.86 771.25 516.07

Primary enrolment

15

Country

Affected population in 2015 on current trend

(thousands)

Annual increase needed to reach target,

percentage points

Affected population in 2015 if target reached

(thousands)

Saving in human cost if target reached

(thousands)Philippines 1,061.92 0.41 672.10 389.82

Thailand 544.31 0.82 274.91 269.41

Cambodia 129.27 0.91 87.31 41.96

Bangladesh 1,568.79 0.93 739.99 828.79

Bhutan 5.13 1.10 4.96 0.17

Lao PDR 119.54 1.80 33.87 85.68

Pakistan 5,425.14 4.77 1,049.04 4,376.10

Gender primary

16

Country

Affected population in 2015 on current trend

(thousands)Annual increase needed to reach target, points

Affected population in 2015 if target reached

(thousands)

Saving in human cost if target reached

(thousands)Papua New Guinea 88.49 0.01 27.65 60.84

Afghanistan 373.45 0.05 151.72 221.73

Gender secondary

17

Country

Affected population in 2015 on current trend

(thousands)Annual increase needed to reach target, points

Affected population in 2015 if target reached

(thousands)

Saving in human cost if target reached

(thousands)Lao PDR 39.16 0.02 21.38 17.78

Afghanistan 1,361.32 0.08 133.46 1,227.86

Gender tertiary

18

Country

Affected population in 2015 on current trend

(thousands)Annual increase needed to reach target, points

Affected population in 2015 if target reached

(thousands)

Saving in human cost if target reached

(thousands)Pakistan 673.09 0.01 500.82 172.27

Nepal 1,147.60 0.05 87.23 1,060.37

Bhutan 12.53 0.05 1.94 10.59

Cambodia 114.79 0.06 39.91 74.88

Bangladesh 3,098.29 0.06 389.57 2,708.72

Afghanistan 1,384.35 0.12 91.08 1,293.27

Under-5 mortality

19

Country

Affected population over 2011-2015 on current trend (,000)

Annual decrease needed to reach target, per 1,000

live births

Affected population over 2011-2015 if target

reached (thousands)

Lives saved over 2011-2015 if target reached

(thousands)Philippines 309.80 1.87 275.81 33.99

Cambodia 79.00 2.13 69.82 9.18

Myanmar 249.52 5.73 193.31 56.20

Papua New Guinea 60.45 6.20 42.95 17.51

Pakistan 1,929.87 9.13 1,365.02 564.84

Afghanistan 975.45 15.87 703.51 271.94

Infant mortality

20

Infant mortality

21

Country

Affected population over 2011-2015 on current trend (,000)

Annual decrease needed to reach target, per 1,000

live births

Affected population over 2011-2015 if target

reached (thousands)

Lives saved over 2011-2015 if target reached

(thousands)Thailand 37.84 0.47 38.10 0.09

China 1,169.61 0.67 1,115.96 53.65

Iran (Islamic Rep. of) 120.43 1.07 113.55 6.88

Indonesia 512.99 1.67 462.68 50.32

Lao PDR 25.70 1.73 25.57 0.13

Nepal 130.82 1.73 128.84 1.98

Philippines 252.84 1.80 205.76 47.08

Bhutan 2.86 2.40 2.69 0.18

Cambodia 67.99 2.80 53.75 14.24

Myanmar 191.05 4.73 140.81 50.25

Papua New Guinea 47.33 5.07 31.94 15.39

Pakistan 1,573.00 7.60 1,075.23 497.78

Afghanistan 681.97 11.27 477.26 204.71

Maternal mortality

22

Maternal mortality

23

Country

Affected population over 2009-2015 on

current trend (thousands)

Annual decrease needed to reach target, per 100,000 live births

Affected population over 2009-2015 if target

reached (thousands)

Lives saved over 2009-2015 if target reached

(thousands)Mongolia 0.27 4.64 0.20 0.06

Thailand 2.93 5.07 1.37 1.55

Philippines 13.82 7.00 10.46 3.36

Indonesia 57.27 12.14 56.69 0.83

Cambodia 5.49 16.79 4.82 0.67

Bangladesh 59.69 17.50 55.86 3.83

Myanmar 11.70 19.29 8.84 2.87

Pakistan 75.44 19.64 57.69 17.75

Nepal 16.13 23.21 14.18 1.96

Papua New Guinea 3.50 23.57 2.07 1.42

Lao PDR 4.83 40.00 3.98 0.85

Afghanistan 140.97 139.29 74.46 66.51

Antenatal care (≥ 1 visit)

24

Antenatal care (≥ 1 visit)

25

Country

Affected population in 2015 on current trend

(thousands)

Annual increase needed to reach target,

percentage points

Affected population in 2015 if target reached

(thousands)

Saving in human cost if target reached

(thousands)Philippines 169.01 0.56 120.93 48.08

Papua New Guinea 43.02 1.80 10.71 32.30

Myanmar 140.54 1.90 39.91 100.63

Cambodia 19.82 2.57 15.55 4.27

Pakistan 1,655.28 4.26 239.92 1,415.37

Bangladesh 911.16 5.47 146.95 764.21

Nepal 281.78 5.70 36.19 245.59

Lao PDR 65.40 6.66 6.94 58.46

Afghanistan 1,011.64 8.43 75.16 936.48

Skilled birth attendance

26

Skilled birth attendance

27

Country

Affected population in 2015 on current trend

(thousands)

Annual increase needed to reach target,

percentage points

Affected population in 2015 if target reached

(thousands)

Saving in human cost if target reached

(thousands)Thailand 4.62 0.07 1.35 3.27

Myanmar 226.92 2.83 107.16 119.77

Philippines 812.08 3.71 285.40 526.68

Papua New Guinea 104.86 3.92 25.07 79.80

Cambodia 125.80 3.97 51.32 74.48

Pakistan 2,615.71 5.11 974.06 1,641.65

Nepal 496.84 6.46 167.57 329.27

Lao PDR 108.27 6.62 27.97 80.30

Afghanistan 923.14 7.73 329.22 593.92

Bangladesh 2,033.36 8.83 664.94 1,368.42

Safe drinking water

28

Country

Affected population in 2015 on current trend

(thousands)

Annual increase needed to reach target,

percentage points

Affected population in 2015 if target reached

(thousands)

Saving in human cost if target reached

(thousands)Iran (Islamic Rep. of) 3,748.14 0.17 3,535.03 213.10

Pakistan 17,293.86 0.43 13,469.52 3,824.34

Bhutan 59.70 0.50 35.77 23.94

Indonesia 41,391.47 0.79 36,719.98 4,671.49

Myanmar 11,525.86 1.07 10,786.54 739.33

Bangladesh 30,416.84 1.29 17,577.20 12,839.64

Lao PDR 2,448.19 2.14 1,889.85 558.34

Papua New Guinea 4,634.71 4.36 2,278.73 2,355.98

Basic sanitation

29

Basic sanitation

30

Country

Affected population in 2015 on current trend

(thousands)

Annual increase needed to reach target,

percentage points

Affected population in 2015 if target reached

(thousands)

Saving in human cost if target reached

(thousands)Iran (Islamic Rep. of) 13,354.57 0.57 6,677.29 6,677.29

Bangladesh 62,834.68 2.00 52,731.60 10,103.08

Indonesia 101,631.01 2.07 84,835.81 16,795.20

China 541,604.12 2.21 405,327.52 136,276.60

Bhutan 257.60 2.29 151.02 106.58

Pakistan 93,266.36 2.71 69,271.82 23,994.55

Mongolia 1,489.98 3.50 760.59 729.39

Nepal 18,419.59 3.50 14,719.82 3,699.77

Cambodia 8,929.94 3.64 6,934.18 1,995.76

Afghanistan 21,837.68 3.93 13,277.75 8,559.92

Papua New Guinea 4,248.49 4.07 2,047.00 2,201.49

Disparities

31

Source: DHS 2008ARMM: Autonomous Region in Muslim MindanaoCALABARZON: CAvite, LAguna, BAtangas, Rizal, and QueZONSOCCSKSARGEN: South Cotabato, Cotabato, Sultan Kudarat, Sarangani and General Santos City.

• Gaps in MDG

achievements

among citizens

within national

borders can be

as large as gaps

between

people from

different

countries

Disparities

32

• Overall

disparities tend

to be larger in

countries with

relatively lower

levels of

attainment

(large red

bubbles)

• Attainments

are generally

higher with low

disparities

Disparities

33

• Child malnutrition

less prevalent in

urban than in rural

areas

• Prevalence levels

similar among

children of same

economic status

Rural

Urban

Percentage of children under-5 underweight

Drivers of within country disparities

34

• A very complex set of interlinked factors is behind the

disparities, but the analysis reveals that sometimes only one

factor needs to be addressed to create significant change

and reduce the disparities even when the rest of the

characteristics remain unchangeable.

• The analysis suggests that there are common factors to

reduce disparities across the analyzed indicators:

– Household wealth

– Education of mother

– For under-5 mortality

• Breast-feeding reduces risk

• High risk for girls in some countries

– Castes, ethnic and linguistic groups

• Need to remove cultural and institutional discrimination

Summary

35

• Very good regional progress in some areas

• Uneven progress across sub-regions and between countries

• Disparities within countries persist

• Large scale of deprivation remains

• Challenges to reduce hunger, improve health and services

Thank you!

http://www.unescap.org/stat/

Harumi Shibata Salazar [email protected]