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Statistics Division http://www.unescap.org/our-work/statistics Assessing Progress Towards the SDGs Arman Bidarbakhtnia UNESCAP [email protected] Regional Workshop on National SDG Reporting Mechanisms: An End-to-End Process Framework Bangkok, Thailand, 10-13 September 2019

Assessing Progress Towards the SDGs

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Statistics Divisionhttp://www.unescap.org/our-work/statistics

Assessing Progress

Towards the SDGs

Arman Bidarbakhtnia

UNESCAP

[email protected]

Regional Workshop on National SDG Reporting Mechanisms: An End-to-End Process Framework

Bangkok, Thailand, 10-13 September 2019

Statistics Divisionhttp://www.unescap.org/our-work/statistics

Whose progress towards what and

compared to whom?

indicator– target

SD (indicator)

indicator– base value

Target– base value

indicator– worst value

Target–worst valueSDSN:

UNESCAP:

OECD:

How our

countries

progress

towards the SDG

targets?

Statistics Divisionhttp://www.unescap.org/our-work/statistics

A comparison

2000 2015 SDSN UNESCAP OECD

Country A 13% 13% 8 0 8

Country B 9% 16% 7 -9 7

Country C 46% 23% 6 6 6

Statistics Divisionhttp://www.unescap.org/our-work/statistics

Two questions for Asia-Pacific region

❑Where does the region stand for each of the

goals?

❑How far will the region be from

targets by 2030?

Statistics Divisionhttp://www.unescap.org/our-work/statistics

UNESCAP’s methodology for measuring progress

Current status index:

Where does the region stand for each of the Goals?

B+

=IndexBA

A B

B+

=IndexBA

A B

Expected Achievement:

How far the region will be from targets by 2030?

Statistics Divisionhttp://www.unescap.org/our-work/statistics

Two methodological challenges

60% of SDG targets have no target value

No single method for predicting future values

Statistics Divisionhttp://www.unescap.org/our-work/statistics

Setting regional targets: Champion

area

Data efficient ObjectiveAspirational, but

feasible

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Setting regional targets: Champion area

Statistics Divisionhttp://www.unescap.org/our-work/statistics

Predictions

Weighted regression

oApplied a time-related weighting system

oMore recent data, greater weights

Statistics Divisionhttp://www.unescap.org/our-work/statistics

Goal

target 1

indicator1 indicator2

Type 1

total

Vulnerable group

Type 2

target2

indicator1

Aggregating indicators

Goal

Weight=1

1/2 1/2

1/4

1/8

1/8

1/4

Weight=1

1

Leave

no one

behind

Statistics Divisionhttp://www.unescap.org/our-work/statistics

example

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Current status: Asia-Pacific snapshot

2018

Statistics Divisionhttp://www.unescap.org/our-work/statistics

Expected Achievement: Asia-Pacific dashboard

2018

Statistics Divisionhttp://www.unescap.org/our-work/statistics

Progress Gap at indicator level

Accelerate

Reverse

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SDG data availability in

Asia-Pacific

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By goal

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By source

• Sufficient data on half of indicators sourced from

administrative

• Large share of "insufficient" sourced from surveys

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19

References

Asia and the Pacific SDG Progress Report 20179

Bidarbakhtnia. A. (2017): “A weighted extrapolation method for measuring the

SDGs progress”, ESCAP working paper series SD/WP/04/March 2017.

Bidarbakhtnia. A. (2017): “Tracking progress towards the SDGs: measuring the

otherwise ambiguous progress”, ESCAP working paper series SD/WP/05/May

2017.

Statistics Divisionhttp://www.unescap.org/our-work/statistics

Asia-Pacific SDG Gateway

Statistics Divisionhttp://www.unescap.org/our-work/statistics

Thank YOU!