{"approval_status":"approved","author":null,"author_email":null,"cautions":"

Various data sources for the indicators have gaps in coverage, are highly correlated with others, and have their own limitations and faults.
Some indicators lack a comprehensive measure and are not necessarily comparable across countries.

","citation":"Notre Dame Global Adaptation Initiative. 2021.\"ND-GAIN Country Index.\" http://index.gain.org/. Accessed through World Resources Institute, (date). [www.resourcewatch.org](https://www.resourcewatch.org).","creator_user_id":"4fea4197-b711-4260-ae6a-afa5f1cdae6c","draft":false,"featured_dataset":false,"function":"

Country's vulnerability to climate change and other global challenges in combination with its readiness to improve resilience

","has_chart_views":false,"id":"ee042b75-767d-476a-88a5-17668010ec15","is_approved":true,"isopen":false,"language":"en","learn_more":"http://gain.nd.edu/assets/254377/nd_gain_technical_document_2015.pdf","license_title":null,"maintainer":"Stefanie Tye","maintainer_email":"stefanie.tye@wri.org","metadata_created":"2024-04-25T15:04:53.343006","metadata_modified":"2024-07-16T16:23:04.652652","methodology":"

Methodology

The ND-GAIN index measures both a country's vulnerability to climate change and its readiness to take adaptation actions. Vulnerability is assessed by considering six sectors: food, water, health, ecosystem services, human habitat, and infrastructure. Each sector is composed of six indicators (36 total) that relate to three components: exposure, sensitivity, and adaptive capacity.
\n- Exposure measures the extent to which society and its supporting sectors are stressed by future climate conditions. \n- Sensitivity relates to the degree to which people and the sectors they depend on are affected by climate related disturbances.\n- Adaptive capacity measures the ability of society to respond and decrease the negative consequences of climate related events.

Similarly, readiness is assessed by three core components - economic readiness, governance readiness, and social readiness - and nine indicators to produce an overall readiness metric that gauges a country's ability to leverage investments and adaptation actions.\n- Economic readiness represents the investment environment which is needed to marshal funds from the private sector.\n- Governance readiness relates to the conditions (stability of society, institutional arrangements) that contribute to investment risk.\n- Social readiness measures the social conditions that enable society to make efficient and equitable use of and benefit from an investment.

74 data sources are used to construct the 45 indicators that make up the readiness and vulnerability scores. 20 indicators come directly from raw data sources, the other 25 are computed by the underlying data. The following steps outline how the index is created:

\n
Collect the raw data and process
\n
\n
Interpolate missing data or denote certain indicators as “missing” for specific countries
\n
\n
Identify the baseline minimum and maximum values from the raw data
\n
\n
Define a reference point for each indicator (e.g. reference point for child malnutrition is 0%)
\n
\n
Scale the raw data to score, from 0 to 1, to allow for comparison
\n
\n
Compute the vulnerability and readiness scores
\n
\n
Compute ND-GAIN and scale scores to give a value from 0 to 100 (higher values representing greater readiness and lower vulnerability)
\n

\n","migration_extras":{"dataset.env":"production","dataset.name":"cli.029.rw2 Vulnerability to Climate Change Index","dataset.slug":"cli029a-Vulnerability-to-Climate-Change-Index","dataset.type":"tabular","metadata.name":"Vulnerability to Climate Change Index","dataset.status":"saved","dataset.userId":"5d0901197aabc0001072e40c","dataset.geoInfo":"true","metadata.source":"ND-GAIN","metadata.status":"published","dataset.dataPath":"","dataset.provider":"cartodb","dataset.subtitle":"ND-GAIN","metadata.dataset":"4d2d47c1-fed1-4484-83e3-c91c3f6f7315","dataset.createdAt":"2019-10-09T21:07:05.501Z","dataset.overwrite":"false","dataset.protected":"false","dataset.published":"true","dataset.tableName":"cli_029_rw2_vulnerability_to_climate_change_edit","dataset.updatedAt":"2022-07-07T06:31:44.586Z","metadata.language":"en","dataset.dataset_id":"4d2d47c1-fed1-4484-83e3-c91c3f6f7315","metadata.createdAt":"2022-07-07T07:15:28.008Z","metadata.info.name":"Vulnerability to Climate Change Index","metadata.info.rwId":"cli.029.rw2","metadata.updatedAt":"2022-07-12T02:34:51.923Z","metadata.dataset_id":"62c68810f04151001af2288f","dataset.connectorUrl":"https://wri-rw.carto.com/tables/cli_029_rw2_vulnerability_to_climate_change_edit/public","dataset.dataset_type":"dataset","dataset.errorMessage":"","metadata.application":"crt","metadata.description":"### Overview \n \nThe University of Notre Dame Global Adaptation Initiative (ND-GAIN) produces an annual index that measures a country’s vulnerability to climate change along with its readiness to respond and adapt. The index assesses 192 countries annually from 1995-2019. The index is on a scale from 0-100, with higher numbers indicating that the country is better poised to respond to climate disruptions. \n\nEvery country around the world will experience and respond differently to climate disruptions. Due to the unique socioeconomic and geographic locations of each country, some will be more vulnerable from the impacts of climate change and will have differing capacities to adapt. ND-GAIN’s index combines a vulnerability score with a readiness score to assess each country. Vulnerability measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Readiness measures a country's ability to leverage investments and convert them to adaptation actions. This index provides a standardized way to estimate a country's adaptation risk and opportunity.\n\nND-GAIN is a program within the Notre Dame Environmental Change Initiative with the goal of heightening awareness and understanding of adaptation, providing products and services to spur action, and enhance investments in vulnerable communities.\n \n \n### Methodology \n \nThe ND-GAIN index measures both a country's vulnerability to climate change and its readiness to take adaptation actions. Vulnerability is assessed by considering six sectors: food, water, health, ecosystem services, human habitat, and infrastructure. Each sector is composed of six indicators (36 total) that relate to three components: exposure, sensitivity, and adaptive capacity. \n- Exposure measures the extent to which society and its supporting sectors are stressed by future climate conditions. \n- Sensitivity relates to the degree to which people and the sectors they depend on are affected by climate related disturbances.\n- Adaptive capacity measures the ability of society to respond and decrease the negative consequences of climate related events.\n\nSimilarly, readiness is assessed by three core components - economic readiness, governance readiness, and social readiness - and nine indicators to produce an overall readiness metric that gauges a country's ability to leverage investments and adaptation actions.\n- Economic readiness represents the investment environment which is needed to marshal funds from the private sector.\n- Governance readiness relates to the conditions (stability of society, institutional arrangements) that contribute to investment risk.\n- Social readiness measures the social conditions that enable society to make efficient and equitable use of and benefit from an investment.\n\n74 data sources are used to construct the 45 indicators that make up the readiness and vulnerability scores. 20 indicators come directly from raw data sources, the other 25 are computed by the underlying data. The following steps outline how the index is created:\n \n \n1. Collect the raw data and process\n \n \n2. Interpolate missing data or denote certain indicators as “missing” for specific countries\n \n \n3. Identify the baseline minimum and maximum values from the raw data\n \n \n4. Define a reference point for each indicator (e.g. reference point for child malnutrition is 0%) \n \n \n5. Scale the raw data to score, from 0 to 1, to allow for comparison\n \n \n6. Compute the vulnerability and readiness scores\n \n \n7. Compute ND-GAIN and scale scores to give a value from 0 to 100 (higher values representing greater readiness and lower vulnerability)\n\n \n \n### Additional Information \n \nOur data catalog shows only a subset of the dataset. The ND-GAIN dataset also includes data for each vulnerability sector (food, ecosystem services, health, human habitat, infrastructure, water), readiness sector (economic, governance, social), all 45 indicators, and trends. For access to the full dataset and additional information, click on the “Learn more” button. \n \n### Visualizing the Data \n \nOur team reformatted this dataset before displaying it on WRI’s data catalog. See the documentation on how we processed the data on [Github](https://github.com/resource-watch/data-pre-processing/tree/master/cli_029_rw2_vulnerability_to_climate_change). \n \n### Disclaimer \n \nExcerpts of this description page were taken from the source metadata.","metadata.resource.id":"4d2d47c1-fed1-4484-83e3-c91c3f6f7315","dataset.application.0":"rw","dataset.application.1":"crt","dataset.connectorType":"rest","dataset.mainDateField":"","metadata.dataset_type":"metadata","metadata.info.license":"Creative Commons Attribution 4.0 International (CC BY 4.0)","metadata.info.cautions":"- Various data sources for the indicators have gaps in coverage, are highly correlated with others, and have their own limitations and faults.\r\n- Some indicators lack a comprehensive measure and are not necessarily comparable across countries.","metadata.info.citation":"Notre Dame Global Adaptation Initiative. 2021.\"ND-GAIN Country Index.\" http://index.gain.org/. Accessed through World Resources Institute, (date). [www.resourcewatch.org](https://www.resourcewatch.org).","metadata.resource.type":"dataset","metadata.info.data_type":"Tabular","metadata.info.functions":"Country's vulnerability to climate change and other global challenges in combination with its readiness to improve resilience","metadata.info.license_link":"https://creativecommons.org/licenses/by/4.0/","metadata.info.sources.0.id":"0","dataset.requested_application":"crt","metadata.info.date_of_content":"1995-2019","metadata.info.learn_more_link":"http://gain.nd.edu/assets/254377/nd_gain_technical_document_2015.pdf","metadata.info.technical_title":"Notre Dame Global Adaptation Initiative (ND-GAIN) Country Index","metadata.info.data_download_link":"https://wri-public-data.s3.amazonaws.com/resourcewatch/cli_029_rw2_vulnerability_to_climate_change.zip","metadata.info.spatial_resolution":"National","metadata.info.geographic_coverage":"Global","metadata.info.frequency_of_updates":"Annual","metadata.info.sources.0.source-name":"","metadata.info.data_download_original_link":"http://gain.nd.edu/our-work/country-index/download-data/","metadata.info.sources.0.source-description":"University of Notre Dame Global Adaptation Initiative (ND-GAIN)"},"name":"cli-029-rw2-vulnerability-to-climate-change-index-crt","notes":"

Overview

The University of Notre Dame Global Adaptation Initiative (ND-GAIN) produces an annual index that measures a country’s vulnerability to climate change along with its readiness to respond and adapt. The index assesses 192 countries annually from 1995-2019. The index is on a scale from 0-100, with higher numbers indicating that the country is better poised to respond to climate disruptions.

Every country around the world will experience and respond differently to climate disruptions. Due to the unique socioeconomic and geographic locations of each country, some will be more vulnerable from the impacts of climate change and will have differing capacities to adapt. ND-GAIN’s index combines a vulnerability score with a readiness score to assess each country. Vulnerability measures a country's exposure, sensitivity, and capacity to adapt to the negative effects of climate change. Readiness measures a country's ability to leverage investments and convert them to adaptation actions. This index provides a standardized way to estimate a country's adaptation risk and opportunity.

ND-GAIN is a program within the Notre Dame Environmental Change Initiative with the goal of heightening awareness and understanding of adaptation, providing products and services to spur action, and enhance investments in vulnerable communities.

Additional Information

Our data catalog shows only a subset of the dataset. The ND-GAIN dataset also includes data for each vulnerability sector (food, ecosystem services, health, human habitat, infrastructure, water), readiness sector (economic, governance, social), all 45 indicators, and trends. For access to the full dataset and additional information, click on the “Learn more” button.

Visualizing the Data

Our team reformatted this dataset before displaying it on WRI’s data catalog. See the documentation on how we processed the data on Github.

Disclaimer

Excerpts of this description page were taken from the source metadata.

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