This Ipsos survey indicates that ** percent of respondents believed the most concerning environmental issue facing the world is climate change. Air pollution was the second most important environmental issue around the world, closely followed by the amount waste that is generated.

Environmental Liability: spreadsheet providing information about the number and type of incidents recorded by UK regulators during 2013 under legislation transposing the Environmental Liability Directive. The information is updated annually.

Previous returns are available from the National Archives at:

http://webarchive.nationalarchives.gov.uk/20130321224818/http://www.defra.gov.uk/environment/quality/environmental-liability/

By 2030, the estimated environmental impact of e-commerce logistics will be much higher in the largest 100 urban areas worldwide. The delivery car fleet could reach *** million vehicles by the end of this decade, and total emissions caused by parcel and freight shipping are forecast to generate ** million metric tons of CO2. In addition, the average commute time, including last-mile delivery, is expected to increase from ** minutes in 2019 to ** minutes in 2030.

Environmental damage compensation

In 2025, polluted water was the most concerning environmental issue among adults in the United States. ** percent of respondents worried a great deal about pollution in drinking water quality, while ** percent had similar worries about pollution in waterways. Meanwhile, ** percent of American adults worried a great deal about both global warming or climate change and air pollution. The share of Americans who worried about air pollution has fallen since 1990.

The environmental impacts of food production are felt all around the world. However, a continuously growing population understandably calls for an increase in food production. Agriculture is the single biggest cause of deforestation globally, accounting for approximately 80 percent. Drivers linked to food production are also responsible for 70 percent of the planet's terrestrial biodiversity loss. Changes in land and sea use are the main regional threats to populations in all regions. Whilst unsustainable agriculture is a leading cause of this destruction, other common changes in land and sea use are logging, transportation, development, energy production and mining, and abstraction of water.

Introduction

Air pollution Statistics: The air pollution problem is by far the most significant environmental health issue around the world and causes an estimated 7.7 million deaths each year. Climate change and air pollution are closely linked since every major pollutant has an impact on climate and many have common causes with greenhouse gases. Enhancing the quality of air can lead to improved health, development, and environmental benefits.

According to UNEP Pollution Action Note, the global condition of pollution in the air, its major sources, the effects of the air pollution on health as well as the national efforts to address this problem. The tiny particles that pollute the air are mostly derived from human activities such as burning fossil fuels for transportation, waste-burning electricity agriculture, and the major source of ammonia and methane as well as the mining and chemical industries. Let's look into air pollution and its impact.

This file describes the dataset used in Ou et al., "Air pollution control strategies directly limiting national health damages in the US." This work used the Global Change Assessment Model (GCAM) with state-level representation of the U.S. energy system (GCAM-USA). GCAM and GCAM-USA are developed and released by the University of Maryland/Pacific Northwest National Laboratory Joint Global Change Research Center (JGCRI). For further details, see the GCAM documentation: jgcri.github.io/gcam-doc. The model source code is available at github.com/JGCRI/gcam-core. A modified version of GCAMv4.3 was used for this analysis. Source code and input data specific for this paper are available upon request. This dataset contains Excel spreadsheets and an R script that link to comma-separated values (CSV) files that were extracted from the model output. The spreadsheets and scripts show the data and reproduce each of the figures in the paper. This dataset is associated with the following publication: Ou, Y., J. West, S. Smith, C. Nolte, and D. Loughlin. Air pollution control strategies directly limiting national health damages in the US.. Nature Communications. Nature Publishing Group, London, UK, 11: 957, (2020).

Comprehensive dataset tracking climate change indicators including global warming, species extinction rates, deforestation, pollution levels, and environmental destruction across 196 countries.

This table presents economic data for the environmental goods and services sector by industry. It contains data on labour volume, output and gross value added of the environmental goods and services sector. Output and gross value added are measured in basic prices and labour volume is measured in full time equivalents (fte). The environmental activities can be subdivided to industries and assigned to an environmental domain; environmental protection and/or management of natural resources. In this table only those business that execute environmental activities as primary or secondary activities are classified to economic industry. The economic data are presented in the following quantities: -Labour volume, 1000 fte -Output at basic prices, mln Euro -Gross value added at basic prices, mln Euro -Export at basic prices, mln Euro The environmental goods and services sector consists of companies and institutions that are involved in activities with respect to measuring, preventing, limiting, minimalizing or correcting environmental damage to water, air and soil as well as problems related to waste, noise and ecosystems (OECD, 1999; Eurostat 2009). This definition includes 'cleaner technologies 'and 'cleaner goods and services' which reduce environmental risk and minimize the use of natural resources and pollution. The definition of the environmental goods and services sector is determined on European level and it is used by EU-countries accordingly. The environmental goods and services sector is part of de Dutch system of environmental account, which brings together economic and environmental information in a common framework. The Dutch environmental accounts are compiled following the general concepts, definitions and classifications as described in SEEA 2012 and the 2008 SNA. As it is in line with de definitions and classifications of the national accounts system, there exists a small difference between environmental accounts and environmental statistics. More information on the methodology can be found elsewhere on the website of CBS. Data available from: 2001 Status of the figures: Provisional figures. Changes as of 4 July 2023: Year 2020 and 2021 has been added. The figures about earlier years have been adjusted following a change in the business population belonging to the environmental goods and services sector. Changes as of 2 April 2021: Year 2017, 2018 and 2019 has been added. The figures about earlier years have been adjusted following a change in the business population belonging to the environmental goods and services sector. Changes as of 16 November 2018: Year 2014 has been added. Figures about earlier years have been adjusted following a change in the business population belonging to the environmental goods and services sector. Changes as of 5 October 2017: Provisional figures for 2015 have been added. The time series has been updated according to the most recent estimates. A new variable, Export basic prices, has been added. Changes as of 25 August 2016: Year 2014 has been added. Figures about earlier years have been adjusted following a change in the business population belonging to the environmental goods and services sector. When will new figures be published? New provisional figures are published annually in March.

Freight Facts and Figures - Freight Transportation Energy Use and Environmental Impacts

The headquarters handles the execution and results analysis of environmental impact assessment supervision.

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

The threat of droughts and their associated impacts on the landscape and human communities have long been recognized in the United States, especially in high risk areas such as the southcentral region. This project examines whether existing drought indices can predict the occurrence of drought events and their actual damages, how the adaptive capacity (i.e., resilience) varies across space, and what public outreach and engagement effort would be most effective for mitigation of risk and impacts. The study region includes all 503 counties in Arkansas, Louisiana, New Mexico, Oklahoma, and Texas. This data set was created to assess the community resilience to the drought hazards using the Resilience Inference Measurement (RIM) model. The data include county-level variables on drought hazards, damages, socioeconomic, and environmental variables for the time period 1991-2010.

This document summarizes the results of environmental impact assessments by the Ministry of the Environment and local governments, and completes the review of the number of environmental impact statements, the number of completed reviews of environmental impact assessment reports, and the number of approved environmental impact assessment review cases according to national, environmental department, and county/city statistics.

Three global maps are included in this data set: the first is the pesticide risk scores map showing the exposure of agricultural land to pesticide pollution, the second is the active ingredient counts map quantifying the number of active ingredients posing pollution risk to agricultural land and showing the exposure of environment to pesticide mixtures, and the third is the regions of concern map identifying areas susceptible to pesticide pollution.

A zip folder containing an example of risk score calculation is attached together with this data set. Details of the methods used to produce these maps and the tabulated data can be found in Tang F.H.M, Lenzen M., McBratney A., and Maggi F. (2021). Risk of pesticide pollution at the global scale, Nature Geoscience.

We conducted an unmatched case-control study of 1,225,285 infants from a North Carolina Birth Cohort (2003-2015). Ozone and PM2.5 during critical exposure periods (gestational weeks 3-8) were estimated using residential address and a national spatiotemporal model at census tract centroid. Here we describe data sources for outcome (i.e., congenital heart defects) and exposure (i.e., ozone and PM2.5) data. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The North Carolina Birth Cohort data are not publicly available as it contains personal identifiable information. Data may be requested through the NCDHHS, Division of Public Health with proper approvals. Air pollutant concentrations for ozone and PM2.5 from the national spatiotemporal model are publicly available from EPA's website. Format: Birth certificate data from the State Center for Health Statistics of the NC Department of Health and Human Services linked with data from the Birth Defects Monitoring Program (NC BDMP) to create a birth cohort of all infants born in NC between 2003-2015. The NC BDMP is an active surveillance system that follows NC births to obtain birth defect diagnoses up to 1 year after the date of birth as well as identify infant deaths during the first year of life and include relevant information from the death certificate. A national spatiotemporal model provided data on predicted ozone PM2.5 concentrations over critical prenatal and time periods. The prediction model used data from research and regulatory monitors as well as a large (>200) array of geographic covariates to create fine scale spatial and temporal predictions. The model has a cross-validated R2 of 0.89 for PM2.5. Concentrations were predicted for daily throughout the study period at the centroid of each 2010 census tract in NC. This dataset is associated with the following publication: Arogbokun, O., T. Luben, J. Stingone, L. Engel, C. Martin, and A. Olshan. Racial disparities in maternal exposure to ambient air pollution during pregnancy and prevalence of congenital heart defects. AMERICAN JOURNAL OF EPIDEMIOLOGY. Johns Hopkins Bloomberg School of Public Health, 194(3): 709-721, (2025).

In fiscal year 2021, there were ** cases in which damage occurred to crops, livestock, and the living environment of animals and plants due to the use of agricultural chemicals. The number decreased compared to ** cases in fiscal year 2020.

The Environmental Protection Agency (EPA) provides air pollution data about ozone and particulate matter (PM2.5) to CDC for the Tracking Network. The EPA maintains a database called the Air Quality System (AQS) which contains data from approximately 4,000 monitoring stations around the country, mainly in urban areas. Data from the AQS is considered the "gold standard" for determining outdoor air pollution. However, AQS data are limited because the monitoring stations are usually in urban areas or cities and because they only take air samples for some air pollutants every three days or during times of the year when air pollution is very high. CDC and EPA have worked together to develop a statistical model (Downscaler) to make modeled predictions available for environmental public health tracking purposes in areas of the country that do not have monitors and to fill in the time gaps when monitors may not be recording data. This data does not include "Percent of population in counties exceeding NAAQS (vs. population in counties that either meet the standard or do not monitor PM2.5)". Please visit the Tracking homepage for this information.View additional information for indicator definitions and documentation by selecting Content Area "Air Quality" and the respective indicator at the following website: http://ephtracking.cdc.gov/showIndicatorsData.action