Arkansas

The Clean Air Act (CAA) authorizes EPA to regulate air pollution from stationary sources like chemical plants, utilities, and steel mills. EPA delegates much of its CAA authority to state, local, and tribal agencies. To help manage the national CAA stationary source compliance monitoring and enforcement program, EPA requires that delegated agencies regularly report data on types of facilities within their jurisdiction and activities conducted, such as compliance evaluations, compliance determinations, and enforcement actions.  This dataset presents a summary of High Priority Violations (HPVs) by Lead Agency and facilities with HPV by Permitting Agency

Air Data reports are produced from a direct query of the AQS Data Mart. The data represent the best and most recent information available to EPA from state agencies. However, some values may be absent due to incomplete reporting, and some values may change due to quality assurance activities. The AQS database is updated by state, local, and tribal organizations who own and submit the data. Readers are cautioned not to rank order geographic areas based on Air Data reports. Air pollution levels measured at a particular monitoring site are not necessarily representative of the air quality for an entire county or urban area. This report is based on monitor-level summary statistics. Air quality standards for some pollutants (PM2.5 and Pb) allow for combining data from multiple monitors into a site-level summary statistic that can be compared to the standard. In those cases, the site-level statistics may differ from the monitor-level statistics upon which this report is based.

The American Dream Prosperity Index provides a comprehensive picture of prosperity in 50 states and Washington D.C.The Index, comprising over 200 indicators gathered from more than 80 separate data sources are divided into 3 main domains namely Inclusive Societies, Open Economies, and the Empowered People, under these 11 pillars and 48 sub-components. It is a transformational tool designed to help policymakers, investors, philanthropists, and community leaders strengthen the pathways from poverty to prosperity across the nation, enabling all Americans to achieve their dream. It also provides journalists, researchers, and citizens access to meaningful data to better understand the impact of decisions being made that affect their communities.  

Estimates of Annual Fossil-Fuel CO2 Emitted for Each State in the U.S.A. and the District of Columbia for Each Year from 1960 through 2001. Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to calculate the amount of heat energy derived from fuel combustion. Results are expressed in terms of heat energy obtained from each fuel type. These energy consumption data were multiplied by their respective carbon dioxide emission factors, which are called carbon content coefficients by the U.S. Environmental Protection Agency (EPA). These factors quantify the mass of oxidized carbon per unit of energy released from a fuel. In the U.S.A., they are typically expressed in units of teragrams of carbon (Tg-C = 10^12 grams of carbon) per quadrillion British thermal units (quadrillion Btu = 10^15 Btu, or "quad"), and are highest for coal and lowest for natural gas. Our results are given in teragrams of carbon emitted. To convert to carbon dioxide, multiply by 44/12 (= 3.67).

Since high ambient temperatures can lead to negative health outcomes such as heat cramps, heat exhaustion, heat syncope, and heat stroke. Monitoring health conditions associated with extreme heat requires temperature and relative-humidity data at highly resolved spatio-temporal scales. This dataset presents the data on daily estimates of heat index and extreme temperature days during the summer months.

This dataset presents estimates to determine population exposure to extreme heat.

This is part of a supporting dataset for Lester R. Brown, Full Planet, Empty Plates: The New Geopolitics of Food Scarcity (New York: W.W. Norton & Company, 2012).

An Environmental Public Health Indicator (EPHI) provides information about a population's health status with respect to environmental factors.  The EPHIs may be particularly useful when measurable links are not clear. As such, they can be used to measure health, or a factor associated with health in a specific population.

PAD-US is America’s official national inventory of U.S. terrestrial and marine protected areas that are dedicated to the preservation of biological diversity and to other natural, recreation and cultural uses, managed for these purposes through legal or other effective means. Lands in PAD-US are mainly open space/resource lands owned in fee by agencies and nonprofits.

The Regional Database contains annual data from 1995 to the most recent available year (generally 2014 for demographic and labour market data, 2013 for regional accounts, innovation and social statistics).   In any analytical study conducted at sub-national levels, the choice of the territorial unit is of prime importance. The territorial grids (TL2 and TL3) used in this database are officially established and relatively stable in all member countries, and are used by many as a framework for implementing regional policies. This classification - which, for European countries, is largely consistent with the Eurostat classification - facilitates greater comparability of regions at the same territorial level. The differences with the Eurostat NUTS classification concern Belgium, Greece and the Netherlands where the NUTS 2 level correspond to the OECD TL3 and Germany where the NUTS1 corresponds to the OECD TL2 and the OECD TL3 corresponds to 97 spatial planning regions (Groups of Kreise). For the United Kingdom the Eurostat NUTS1 corresponds to the OECD TL2. Due to limited data availability, labour market indicators in Canada are presented for a different grid (groups of TL3 regions). Since these breakdowns are not part of the OECD official territorial grids, for the sake of simplicity they are labelled as Non Official Grids (NOG).

The U. S. Environmental Protection Agency (EPA) has provided a scale called the Air Quality Index (AQI) for rating air quality. This scale is based on the National Ambient Air Quality Standards (NAAQS) and is described in the Code of Federal Regulations, Part 58, Appendix G. This report is based on the AQI standards. More information on the AQI can be found on the EPA's AirNow web site.