Climate related economic losses by type of event - values at constant 2022 prices (cli_iad_loss)

Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Eurostat, the statistical office of the European Union


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes
Footnotes



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Eurostat, the statistical office of the European Union

1.2. Contact organisation unit

E2: Environmental statistics and accounts; sustainable development

1.5. Contact mail address

e-mail contact: ESTAT-SDG-MONITORING@ec.europa.eu


2. Metadata update Top
2.1. Metadata last certified 24/11/2017
2.2. Metadata last posted 14/10/2022
2.3. Metadata last update 14/10/2022


3. Statistical presentation Top
3.1. Data description

The indicator measures the economic losses from weather and climate-related events. Weather and climate-related events are defined as meteorological events (storms), hydrological events (floods, mass movements) and climatological events (heatwaves, cold waves, droughts, forest fires). 

In addition to the annual figures, a smoothed time-series based on 30-year averages is presented. In line with the climate normal period as defined by World Meteorological Organisation, these 30 years average figures reflect trends excluding the substantial climate variability on shorter time scales due to natural factors. The indicator is based on data from CATDAT of RiskLayer.

3.2. Classification system

not applicable

3.3. Coverage - sector

not applicable

3.4. Statistical concepts and definitions

none

3.5. Statistical unit

Data is received from the from CATDAT of RiskLayer through the EEA under institutional agreement and have been adjusted for accounting for inflation and are presented in 2020 constant prices.

3.6. Statistical population

 The analysed hazards are classified in three categories: meteorological, hydrological and climatological events. 

3.7. Reference area

All EU MS plus Iceland, Liechtenstein, Norway, Switzerland and Turkey

3.8. Coverage - Time

> 10 years

Presented time series starts in year 1980.

3.9. Base period

none


4. Unit of measure Top

million EUR and EUR per capita (2020 constant prices)

i. all events
ii. meteorological events
iii. hydrological events
iv. climatological events


5. Reference Period Top

Calendar year
Moving thirty-year average


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

CATDAT by Risklayer is one of the world’s largest and most detailed historical catastrophe loss databases. As a proprietary database, it is not publicly accessible. The dataset was provided to the EEA under institutional agreement.

6.2. Institutional Mandate - data sharing

Eurostat republishes the EEA indicator as part of the EU SDG indicator set.


7. Confidentiality Top
7.1. Confidentiality - policy

Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4)) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society.

7.2. Confidentiality - data treatment

Data are public.


8. Release policy Top
8.1. Release calendar

Updates are scheduled once per year.

8.2. Release calendar access

See EEA website

8.3. Release policy - user access

CATDAT by Risklayer is one of the world’s largest and most detailed historical catastrophe loss databases. As a proprietary database, it is not publicly accessible. The dataset was provided to the EEA under institutional agreement.


9. Frequency of dissemination Top

Indicator is disseminated every year.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

none

10.2. Dissemination format - Publications

Evaluation of indicator is presented in Eurostat's annual monitoring report on Sustainable Development in the EU (progress towards SDGs in the EU context). The indicaotr is also included in Eurostat's Statistics for the European Green Deal visualisation tool.

10.3. Dissemination format - online database

Dataset cli_iad_loss

Derived table sdg_13_40

10.4. Dissemination format - microdata access

not applicable

10.5. Dissemination format - other

Eurostat dedicated section on SDG's: http://ec.europa.eu/eurostat/web/sdi/overview

10.6. Documentation on methodology

Please see EEA website.

10.7. Quality management - documentation

Please see EEA website.


11. Quality management Top
11.1. Quality assurance

See the EEA website for more information on quality assurance.

11.2. Quality management - assessment

See the EEA website for more information on quality management assessment.


12. Relevance Top
12.1. Relevance - User Needs

The indicator is part of the EU Sustainable Development Goals (SDG) indicator set. It is used to monitor progress towards SDG 13 on climate action; which is embedded in the European Commission’s Priorities under the European Green Deal. SDG 13 aims to strengthen countries’ resilience and adaptive capacity to climate-related hazards and natural disasters by integrating climate change mitigation and adaptation measures into national strategies, policies and planning.

Indicator can be considered as similar to the global SDG indicators 1.5.2 and 11.5.2 "Direct disaster economic loss in relation to global GDP" (related to Sendai indicator).

The EU places disaster and climate resilience as a central objective in its humanitarian assistance. The EU Resilience Marker is used in all humanitarian projects to define ways to reduce disaster risks and to strengthen people's coping capacities to disasters and crises. The Action Plan for the Sendai Framework for Disaster Risk Reduction 2015 – 2030 includes a strong focus on climate change adaptation, linking it to disaster risk reduction strategies and their coherent implementation in EU partner countries.

Furthermore, the new EU Adaptation Strategy urges smarter, faster and more systematic adaptation to fulfil the vision that in 2050, the EU will be a climate-resilient society, fully adapted to the unavoidable impacts of climate change. 

12.2. Relevance - User Satisfaction

not applicable

12.3. Completeness

EU-27 aggregates available


13. Accuracy Top
13.1. Accuracy - overall

Indicator from non-ESS sources. For an assessment of accuracy please refer to the EEA website.

13.2. Sampling error

See EEA website

13.3. Non-sampling error

See EEA website


14. Timeliness and punctuality Top
14.1. Timeliness

New data points are disseminated within two years after the reference year of data collection.

14.2. Punctuality

See EEA website for more detailed information on puntucality.


15. Coherence and comparability Top
15.1. Comparability - geographical

All EU MS as well as Iceland, Liechtenstein, Norway, Switzerland and Turkey.

15.2. Comparability - over time

> 4 data points

Lenght of comparable time series without methodological break is longer than 4 data points.

15.3. Coherence - cross domain

Not applicable

15.4. Coherence - internal

Not applicable


16. Cost and Burden Top

Not applicable


17. Data revision Top
17.1. Data revision - policy

See EEA website.

17.2. Data revision - practice

The published data are final, unless otherwise stated. Corrections and revisions might occur.


18. Statistical processing Top
18.1. Source data

Data set provider: European Environment Agency based on CATDAT by Risklayer
Link to the data source: https://www.eea.europa.eu/ims/economic-losses-from-climate-related

18.2. Frequency of data collection

annually

18.3. Data collection

See EEA website

18.4. Data validation

See EEA website

18.5. Data compilation

See EEA website

18.6. Adjustment

See EEA website


19. Comment Top

none


Related metadata Top
sdg_13_40_esmsip2 - Climate related economic losses – values at constant 2022 prices


Annexes Top


Footnotes Top