Data compiled for the publication: Fairbrass A, O’Sullivan A, Campbell J, Ekins E. (In press) The SDGs provide limited evidence that environmental policies are delivering multiple ecological and social benefits. Earth’s Future.Data underlying the global indicator framework for the Sustainable Development Goals (SDG) and targets of the 2030 Agenda for Sustainable Development.As contained in the Annex of the resolution adopted by the General Assembly on 6 July 2017, Work of the Statistical Commission pertaining to the 2030 Agenda for Sustainable Development (A/RES/71/313) and the annual refinements in E/CN.3/2018/2 and E/CN.3/2019/2.Data downloaded from the SDG Indicators Database (UNSDG) between January and June 2022.

OverviewThis dataset assesses countries' progress on the 17 Sustainable Development Goals (SDGs), adopted by UN Member States in 2015. Derived from the annual Sustainable Development Report, it provides structured data for analyzing global and national SDG performance, trends, and challenges.PurposeThe primary purpose of this dataset is to facilitate in-depth analysis, research, and policy-making related to sustainable development. It enables users to track progress, identify areas requiring greater attention, compare national performances, and support evidence-based interventions for achieving the 2030 Agenda for Sustainable Development.Data CoverageGeographical Scope: Covers all 193 United Nations Member States.Temporal Coverage: Data is available annually since the adoption of the SDGs in 2015, up to the latest published report year.Goals and Indicators: Encompasses all 17 Sustainable Development Goals, with data presented across numerous indicators (approximately 125 unique indicators) used to measure progress under each goal. GOAL 1: No PovertyGOAL 2: Zero HungerGOAL 3: Good Health and Well-beingGOAL 4: Quality EducationGOAL 5: Gender EqualityGOAL 6: Clean Water and SanitationGOAL 7: Affordable and Clean EnergyGOAL 8: Decent Work and Economic GrowthGOAL 9: Industry, Innovation and InfrastructureGOAL 10: Reduced InequalityGOAL 11: Sustainable Cities and CommunitiesGOAL 12: Responsible Consumption and ProductionGOAL 13: Climate ActionGOAL 14: Life Below WaterGOAL 15: Life on LandGOAL 16: Peace and Justice Strong InstitutionsGOAL 17: Partnerships to achieve the GoalData Points and MetricsThe dataset includes various metrics for each country, SDG, and indicator:SDG Index Scores: Overall scores reflecting a country's aggregate performance across all SDGs.Individual SDG Scores/Performance: Scores and ratings for each of the 17 individual SDGs, indicating how well a country is performing on specific goals.Indicator-Level Data: Raw values for the underlying indicators that comprise the SDG scores.Trends: Trends indicating whether a country is on track, moderately improving, stagnating, or decreasing on specific goals and indicators.Traffic Light System Ratings: A color-coded rating (green, yellow, orange, red) indicating a country's status on achieving each SDG.Data Sources and MethodologyThe data is compiled by independent experts and draws from a wide range of official and non-official data sources, including international organizations (e.g., World Bank, WHO, UNESCO), research institutions, and national statistical offices. The methodology for calculating the SDG Index and individual goal scores involves normalization, aggregation, and imputation techniques to ensure comparability across countries and over time. Full methodological details are typically provided in accompanying documentation (e.g., Codebook and Methodology Report) available with the downloadable dataset.Potential UsesAcademic research and statistical analysis on sustainable development.Policy formulation and review by governments and international bodies.Monitoring and evaluation of SDG implementation.Educational purposes and public awareness campaigns.Development of visualizations and interactive dashboards.Access and DownloadThe complete dataset, along with the full report, codebook, and methodological explanations, is typically available for free download from the official Sustainable Development Report website. Users are encouraged to refer to the source website for the most up-to-date versions and supporting documentation.

The Sustainable Development Goals (SDGs) are a set of 17 global goals adopted by all United Nations Member States in 2015 as part of the 2030 Agenda for Sustainable Development. They serve as a universal call to action to end poverty, protect the planet, and ensure that all people enjoy peace and prosperity.

For further details, please refer to https://databank.worldbank.org/source/sustainable-development-goals-(sdgs)

This collection includes only a subset of indicators from the source dataset.

To fully implement and monitor progress on the Sustainable Development Goals, decision makers everywhere need data and statistics that are accurate, timely, sufficiently disaggregated, relevant, accessible and easy to use. The Open SDG Data Hub promotes the exploration, analysis, and use of authoritative SDG data sources for evidence-based decision-making and advocacy. Its goal is to enable data providers, managers and users to discover, understand, and communicate patterns and interrelationships in the wealth of SDG data and statistics that are now available.The global Sustainable Development Goal indicators API gives programmatic access to the global indicators database using the OpenAPI specification. The database, maintained by the Statistics Division, released on 20 June 2018 contains over 1 million observations. However, this is not the number of unique observations, as several indicators and their data are repeated. For the complete list of the indicators that are repeated in the indicator framework please see https://unstats.un.org/sdgs/indicators/indicators-list/ .

Explore Environmental SDG Statistics and Trends UNEP is custodian agency for 25 Sustainable Goals Indicators, of these 10 are tier I and tier II and where data is reported to the Secretary General Global database. Currently UNEP reports data for the following tier I and tier II indicators: 6.3.2 Proportion of bodies of water with good ambient water quality 6.5.1 Degree of integrated water resources management implementation (0-100) 6.6.1 Change in the extent of water-related ecosystems over time 8.4.2 Domestic material consumption (DMC) and DMC per capita, per GDP 12.1.1 Number of countries with sustainable consumption and production (SCP) national action plans or SCP mainstreamed as a priority or target into national policies 12.2.2 Domestic material consumption (DMC) and DMC per capita, per GDP 12.4.1 Number of Parties to international multilateral environmental agreements on hazardous waste, and other chemicals that meet their commitments and obligations in transmitting information as required by each relevant agreement 12.c.1 Amount of fossil-fuel subsidies per unit of GDP (production and consumption). 14.5.1 Coverage of protected areas in relation to marine areas 15.1.2 Proportion of important sites for terrestrial and freshwater biodiversity that are covered by protected areas, by ecosystem type 15.4.1 Coverage by protected areas of important sites for mountain biodiversity SDG Global reporting: We also coordinate our contribution of data and storylines on the SDG indicators presented in the SDG global reports. The yearly report contains Sustainable Development Goals Report and the Statistical Annex report. Click on each year to access report. 2020 2019 2018 2017 2016 SDG Global Database: UNSD SDG Global Database

Full query codes for each of the 17 Sustainable Development Goals to be used on Scopus advanced search. Useful when searching for publications from specific institutions which match criteria set. Criteria used include, time frame, keywords, and institution

As the custodian agency of 21 SDG indicators, the Food and Agriculture Organization of the United Nations (FAO) is responsible for curating and refining the methodologies of these indicators, collecting data from national sources, ensuring their quality and compatibility with applicable standards and classifications, and disseminating data at global level. This FAOSTAT domain complements the global SDG database administered by the United Nations Statistical Division, as well as FAO’s SDG indicators portal, by providing access to the available data for each of these indicators. Please click the metadata link on the right hand navigation column for an abridged version of the methodology for compiling each of these indicators, a description of data sources and the relevant contact persons responsible for each indicator in the Organization. For a more detailed description of the methodology, data sources and reporting procedures, please follow the link to the official SDG indicator metadata document available at the bottom of each summary metadata page in the document on the right.

The data included in Data360 is a subset of the data available from the source. Please refer to the source for complete data and methodology details.

This collection includes only a subset of indicators from the source dataset.

SDG indicators are a global indicator framework for the Sustainable Development Goals (SDG) and succeed the Millenium Development Goals (MDGs) which ended in 2015. They include indicators and statistical data to monitor progress, inform policy and ensure accountability of all stakeholders for the 17 goals set by the United Nations. Data available is from the early 1990’s to present and covers economic and social development issues including poverty, hunger, health, education, social justice, water, sanitation and many more. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

The Open SDG Data Hub promotes the exploration, analysis, and use of authoritative SDG data sources for evidence-based decision-making and advocacy. Its goal is to enable data providers, managers and users to discover, understand, and communicate patterns and interrelationships in the wealth of SDG data and statistics that are now available.

The United Nations Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind.

Since 2018, Elsevier has generated SDG search queries to help researchers and institutions track and demonstrate progress toward the SDG targets. In the past 5 years, these queries, along with the university’s own data and evidence supporting progress and contributions to the particular SDG outside of research-based metrics, are used for the THE Impact Rankings.

For 2023, the SDGs use the exact same search query and ML algorithm as the Elsevier 2022 SDG mappings, with only minor modifications to five SDGs, namely SDG 1, 4, 5, 7 and 14. In these cases, the queries were shortened by removing exclusion lists based on journal identifiers. These exclusion lists often contained thousands of items to filter out content in journals that were not core to the SDGs.

To replicate the effect of these journal exclusions, sets of keywords were used to closely mimic the effects the journal exclusions had on the SDG content, while greatly reducing the overall query size and complexity. By following this approach, we were able to limit the changes to the publications in each SDG by less than 2 percent for most SDGs, while reducing the query size by 50 percent or more.

These shortened queries also have the added benefit of running faster in Scopus, allowing further analysis of the SDG data to be done more easily.

For each SDG, the full search query, along with further details about the top keyphrases, subfields, journals and keyphrases are available for download.

Data for Indicator 1.2.1 comes from the Census Bureau's American Community Survey (ACS) poverty estimates. The U.S. poverty threshold varies based on year and family size. For example, in 2020, a household with two adults and two children would be considered under the poverty line if the household had an annual income less than $26,246. We define people living below the national poverty line as people from households which earn less than 100% of the U.S. national poverty level for the specific year.

We select the quantitative data point indicators from the European Sustainability Reporting Standards (ESRS) and we create a point-by-point mapping between the ESRS and the SDGs, partly using the methodological instruments provided by the GRI Standards (which are ESRS-compatible). We also include the EU Taxonomy indicators (Regulation 852/2020) into this mapping. The result of this process is a database of ESRS data points and EU Taxonomy ratios pointing to each SDG and clarifying the contributions to sustainable development. The dataset contains the Microsoft Access database that proposes a method to assess the contribution to the SDGs based on quantitative indicators (current versus past values).

Achieving the health and well-being related Sustainable Development Goals (SDGs) and the World Health Organization’s (WHO) Triple Billion Targets depends on informed decisions that are based on concerted data collection and monitoring efforts. Even though data availability has been increasing in recent years, significant gaps still remain for routine surveillance to guide policies and actions. The COVID-19 crisis has shown that more and better data and strengthened health information systems are needed to inform timely decisions that save lives. Traditional sources of data such as nationally representative surveys are not adequate for addressing this challenge alone. Additionally, the funding required to measure all health and well-being related SDG indicators and Triple Billion Targets using only traditional sources of data is a challenge to achieving efficient, timely and reliable monitoring systems. Citizen science, public participation in scientific research and knowledge production, can contribute to addressing some of these data gaps efficiently and sustainably when designed well, and ultimately, could contribute to the achievement of the health and well-being related SDGs and Triple Billion Targets. Through a systematic review of health and well-being related indicators, as well as citizen science initiatives, this paper aims to explore the potential of citizen science for monitoring health and well-being and for mobilizing action toward the achievement of health and well-being related targets as outlined in the SDG framework and Triple Billion Targets. The results demonstrate that out of 58 health and well-being related indicators of the SDGs and Triple Billion Targets covered in this study, citizen science could potentially contribute to monitoring 48 of these indicators and their targets, mostly at a local and community level, which can then be upscaled at a national level with the projection to reach global level monitoring and implementation. To integrate citizen science with official health and well-being statistics, the main recommendation is to build trusted partnerships with key stakeholders including National Statistical Offices, governments, academia and the custodian agencies, which is mostly the WHO for these health and well-being related targets and indicators.

The Sustainable Development Goals set by the United Nations aim to solve social, economic and environmental development problems in an integrated manner during the period from 2015 to 2030. The 13th SDG is to “Take urgent action to combat climate change and its impacts”, concerning sub-goal 13.1 “Strengthen resilience and adaptive capacity to climate related hazards and disasters in all countries”. SDG13.1.1 has been defined to be a specific, effective indicator that can be used to quantitatively monitor and evaluate governments' response to climate change. It is defined as the “number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population”. The EM-DAT contains important core data on the occurrence and impact of more than 220,000 large-scale disasters worldwide from 1900 to the present. As a global disaster database, the EM-DAT provides a large amount of natural and technological disaster data for international projects and scientific research. By making use of the EM-DAT big data and SGD13.1.1 indicators, it is possible to quantify disaster information at a large geographical scale and to conduct valuable disaster assessments of different countries and regions, as well as to improve the monitoring and assessment of disaster risk reduction capabilities, and strengthen the ability of countries to adapt to, resist, and reduce extreme disasters caused by climate change. In our related paper "Disaster Assessment for the “Belt and Road” Region based on SDG landmarks", disaster assessment for the ‘Belt and Road’ region was carried out in relation to the SGD13.1.1 indicator, based on the EM-DAT (The Emergency Events Database) database. A new method for diagnosing trends in SGD13.1.1 was proposed, and an overview of disaster records is used to quantify disasters for a total of 73 countries using the data available in the EM-DAT. The following data are supplementary materials for this article,including:the calculation variables of the SDG13.1.1 indicator;disaster types of each country in the whole Belt and Road region; calulated SDG13.1.1 value and trend values of each country in the Belt and Road countries.

This database is used for the publication of the paper titled "Research of Education for Sustainable Development: Understanding New Emerging Trends and Issues after SDG 4" in Journal of Sustainability Research.

The SDG Indicator 7.1.1: Access to Electricity, 2023 Release data set, part of the Sustainable Development Goal Indicators (SDGI) collection, measures the proportion of the population with access to electricity for a given statistical area. UN SDG 7 is "ensure access to affordable, reliable, sustainable and modern energy for all". Tracking SDG 7: The Energy Progress Report estimated that in 2019, 759 million people around the world lacked access to electricity. Moreover, due to current policies and the detrimental effects of the COVID-19 crisis, it is predicted that by 2030, 660 million people will still not have access to electricity, with a majority of these people residing in Sub-Saharan Africa. As one measure of progress towards SDG 7, the UN agreed upon SDG indicator 7.1.1. The indicator was computed as the proportion of WorldPop gridded population located within illuminated areas defined by annual VIIRS Nighttime Lights Version 2 (VNL V2) data. The SDG indicator 7.1.1 data set provides estimates for the proportion of population with access to electricity for 206 countries and 45,979 level 2 subnational Units. The data set is available at both national and level 2 subnational resolutions.

Showcases data.wa.gov publishers whose data sheds light on progress toward the United Nations' Sustainable Development Goals (SDGs), the theme for Open Data Week 2024.

Data for Indicator 10.4.2 comes from the Census American Community Survey. The Gini Index (or Gini Coefficient) measures the income inequality within a group. A Gini Index of 0 represents perfect income equality, while a Gini Index close to 1 represents maximal income inequality.

Our analysis leverages data sourced from publicly available, audited information. We provide environmental and social impact data related to the UN Sustainable Development Goals for every publicly listed company alongside some private companies, with a breakdown of contribution towards all 17 SDGs for benchmarking for sustainability risk. We provide company and portfolio level data, with SDG alignment charts available for publication/marketing purposes.

This methodology has been shown to outperform other ESG data providers, as reported by TGM. It has been shown to be material for forward-looking risk and return, and independently shown to outperform other ESG data providers for ratings impacting on financial performance.

UN SDG Contribution Methodology: Environmental Impact Contribution – Measured as the proportion of SDG contribution that makes a positive impact on the environment. Social Impact Contribution – Measured as the proportion of SDG that makes a positive impact on the well-being of people and society, where the value is a proportion of a company’s revenue in % or $.

Past Use Cases: Acacia Money – SDG benchmarking for sustainability risk Fund manager climate alignment reporting EU Taxonomy alignment

City of Melbourne Sustainable Development Goals