This EnviroAtlas dataset portrays the percentage of population within different household income ranges for each Census Block Group (CBG), a threshold estimated to be an optimal household income for quality of life, and the percentage of households with income below this threshold. Data were compiled from the Census ACS (American Community Survey) 5-year Summary Data (2008-2012). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Users can obtain descriptions, maps, profiles, and ranks of U.S. metropolitan areas pertaining to quality of life, diversity, and opportunities for racial and ethnic groups in the U.S. BackgroundThe Diversity Data project operates a website for users to explore how U.S. metropolitan areas perform on evidence-based social measures affecting quality of life, diversity and opportunity for racial and ethnic groups in the United States. These indicators capture a broad definition of quality of life and health, including opportunities for good schools, housing, jobs, wages, health and social services, and safe neighborhoods. This is a useful resource for people inter ested in advocating for policy and social change regarding neighborhood integration, residential mobility, anti-discrimination in housing, urban renewal, school quality and economic opportunities. The Diversity Data project is an ongoing project of the Harvard School of Public Health (Department of Society, Human Development and Health). User FunctionalityUsers can obtain a description, profile and rank of U.S. metropolitan areas and compare ranks across metropolitan areas. Users can also generate maps which demonstrate the distribution of these measures across the United States. Demographic information is available by race/ethnicity. Data NotesData are derived from multiple sources including: the U.S. Census Bureau; National Center for Health Statistics' Vital Statistics Natality Birth Data; Natio nal Center for Education Statistics; Union CPS Utilities Data CD; National Low Income Housing Coalition; Freddie Mac Conventional Mortgage Home Price Index; Neighborhood Change Database; Joint Center for Housing Studies of Harvard University; Federal Financial Institutions Examination Council Home Mortgage Disclosure Act (HMD); Dr. Russ Lopez, Boston University School of Public Health, Department of Environmental Health; HUD State of the Cities Data Systems; Agency for Healthcare Research and Quality; and Texas Transportation Institute. Years in which the data were collected are indicated with the measure. Information is available for metropolitan areas. The website does not indicate when the data are updated.

This layer shows population broken down by race and Hispanic origin. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer is symbolized to show the percent of population that is Hispanic or Latino. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2018-2022ACS Table(s): B03002 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community SurveyData Preparation: Data curated from Esri Living Atlas clipped to Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 15, 2023National Figures: data.census.gov

This layer shows poverty status by age group. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer is symbolized to show the percentage of the population whose income falls below the Federal poverty line. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2016-2020ACS Table(s): B17020 (Not all lines of these ACS tables are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Data Preparation: Data curated from Esri Living Atlas clipped to Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: March 17, 2022National Figures: data.census.govAdditional Census data notes and data processing notes are available at the Esri Living Atlas Layer:https://tempegov.maps.arcgis.com/home/item.html?id=0e468b75bca545ee8dc4b039cbb5aff6 (Esri's Living Atlas always shows latest data)

This map is part of an interactive Story Map series about global change in the US.With the global human population expected to exceed 8 billion people by 2030, our species is already irreversibly changing the future of our planet. The US itself is expected to grow by 16.5% to over 360 million people, making it the third largest country in the world, behind India and China. This population increase isn’t distributed evenly - 81% of people will live in cities, urban, and suburban areas, which will continue to shape how resources are produced, transported, and consumed. The percent of foreign-born and second-generation immigrants in the US is also expected to rise in the future, contributing to an increasingly diverse population. Across the globe, immigration will likely account for significant population changes in the near future, as climate change fuels drought, crop failures, and political instability, creating climate refugees particularly among countries who do not have the infrastructure to mitigate or adapt to global change. Numbers aren’t the only thing that matter: people of different socioeconomic backgrounds use resources differently, both within and between countries.If the rest of the world used energy as intensely as the United States does, the world population would need more than 4 entire Earths to provide us with the resources to feed this rate consumption. This unfortunately means that even regions of the US that contribute less towards the problems of global change will still feel their impacts. To ensure a high quality of life for all citizens, we must address not only population growth, but also excess consumption of and reliance on resources across different regions. Geographic, population, and economic differences among regions can provide opportunities for success in the face of global change. Renewable energy sources have created entrepreneurial economic ventures, and communities have found environmental solutions through forming sustainable local food systems. Environmental justice movements are working now to ensure that all citizens have access to nature, recreational areas, and a healthy future for all.

Notice: The U.S. Census Bureau is delaying the release of the 2016-2020 ACS 5-year data until March 2022. For more information, please read the Census Bureau statement regarding this matter. -----------------------------------------This layer shows population broken down by race and Hispanic origin. This layer shows Census data from Esri's Living Atlas and is clipped to only show Tempe census tracts. This layer is symbolized to show the predominant race living within an area. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). Data is from US Census American Community Survey (ACS) 5-year estimates. Vintage: 2015-2019 ACS Table(s): B03002 (Not all lines of this ACS table are available in this feature layer.) Data downloaded from: Census Bureau's API for American Community Survey Date of Census update: December 10, 2020 National Figures: data.census.gov Additional Census data notes and data processing notes are available at the Esri Living Atlas Layer: https://tempegov.maps.arcgis.com/home/item.html?id=23ab8028f1784de4b0810104cd5d1c8f&view=list&sortOrder=desc&sortField=defaultFSOrder#overview (Esri's Living Atlas always shows latest data)

Dataset Abstract: Field-level monitoring of crop types in the United States via the Cropland Data Layer (CDL) has played an important role in improving production forecasts and enabling large-scale study of agricultural inputs and outcomes. Although CDL offers crop type maps across the conterminous US from 2008 onward, such maps are missing in many Midwestern states or are uneven in quality before 2008. To fill these data gaps, we used the now-public Landsat archive and cloud computing services to map corn and soybean at 30m resolution across the US Midwest from 1999-2018. Our training data were CDL from 2008-2018, and we validated the predictions on CDL 1999-2007 where available, county-level crop acreage statistics, and state-level crop rotation statistics. The corn-soybean maps, which we call the Corn-Soy Data Layer (CSDL), are publicly hosted on Google Earth Engine and also available for download on Zenodo. Summary of Methods: Using Google Earth Engine, we trained a random forest classifier to classify each pixel of the study area into corn, soybean, and an aggregated "other crops" class. CDL 2008-2018 data were used as labels. The features input to the model were harmonic regression coefficients fit to the NIR, SWIR1, SWIR2, and GCVI bands/indices of time series from Landsat 5, 7, and 8 Surface Reflectance observations. Cloudy pixels were masked out using the pixel_qa band provided with Landsat Surface Reflectance products. Map Legend: 0 = outside study area 1 = corn 5 = soy 9 = other crop 255 = non-crop (masked by NLCD) Values were chosen to be consistent with CDL values when possible. Usage Notes: We recommend that users consider metrics such as (1) user's and producer's accuracy with CDL and (2) R2 with NASS statistics across space and time to determine in which states/counties and years CSDL is of high quality. This can be done with the CSV file of user's and producer's accuracies included in this Zenodo, and annual county-level statistics and example code we have included in our repo at https://github.com/LobellLab/csdl. Updates: March 1, 2021: Fixed an issue where 255 (non-crop) values were represented as NAs instead. CSDL now contains the 255 values representing non-crop. October 20, 2020: Fixed projection issues in the previous version. The CSDL projection now matches that of CDL. July 13, 2020: We revised how we used NLCD to mask out non-crop pixels from our maps. Instead of using one cropland mask (the union of cropland across all NLCD maps) for all years of CSDL, we used a different cropland mask (the last available NLCD) for each year of CSDL. We also reprojected the CSDL maps to the same projection as CDL to make it easier for users to transition between or combine the two datasets.

The Americas Modified Atmosphere Packaging (MAP) market, valued at approximately $XX million in 2025, is projected to experience robust growth, driven by a compound annual growth rate (CAGR) of 4.29% from 2025 to 2033. This expansion is fueled by several key factors. The increasing demand for fresh and minimally processed foods, particularly within the fruits, vegetables, and meat sectors, is a significant driver. Consumers are increasingly prioritizing convenience and extended shelf life, which MAP effectively provides. Furthermore, the growth of the food retail sector, particularly e-commerce and grocery delivery services, necessitates extended product shelf life to maintain quality during transportation and storage. Technological advancements in MAP materials, such as the development of more sustainable and recyclable options (e.g., bio-based polymers), are further boosting market growth. While the market faces some restraints, such as the relatively high initial investment costs for MAP implementation and potential challenges related to maintaining consistent atmospheric conditions, the overall growth trajectory remains positive. The North American region, particularly the United States, is currently the dominant market segment, but significant growth is anticipated in Central and South America driven by rising disposable incomes and increasing consumer awareness of food preservation techniques. The segmentation of the Americas MAP market reveals a diverse landscape. Polyethylene (PE) and Polypropylene (PP) currently dominate the materials segment due to their cost-effectiveness and versatility. However, the increasing demand for eco-friendly packaging is expected to propel the growth of other materials like bio-based polymers. Within application segments, fruits and vegetables continue to be major consumers of MAP, followed by poultry, seafood, and meat products. The bakery and confectionery segments are also showing promising growth, indicating an expansion beyond perishable goods. Key players like Silgan Plastic Food Containers, Amcor Plc, and Berry Global Inc. are actively shaping the market landscape through product innovation, strategic partnerships, and investments in sustainable packaging solutions. The forecast period of 2025-2033 presents considerable opportunities for growth, particularly with increasing focus on food safety and preservation technologies within the expanding food industry. Key drivers for this market are: Growing Demand for Packaged Food Coupled with Increasing Awareness Towards Food Safety, Increasing Demand for Hygienic and Convenient Packaging. Potential restraints include: High Cost of the Process. Notable trends are: Polyethylene (PE)​ Material is Expected to Exhibit Significant Adoption.

Mapping the Path to a Stronger Alaska represents a transformative leap in how Alaskans access and comprehend critical information about federal funding. This dynamic interactive map, constructed using Geographic Information System (GIS) software, will serve as a pivotal resource, empowering data-driven decision-making and fostering collaboration among stakeholders eager to harness these funds to enhance public services, commerce, transportation, and the overall quality of life in Alaska. Learn more about Build Alaska's Future on our website. Most funding data from the Infrastructure Investments and Jobs Act (IIJA) is sourced from the White House. Funding data relating to the State of Alaska is sourced from DCCED.

The global Modified Atmosphere Packaging (MAP) Analyzer market is experiencing robust growth, driven by increasing demand for food preservation and quality control across various sectors. While precise market size figures for the base year (2025) are not explicitly provided, considering typical growth rates in the analytical instrumentation sector and leveraging publicly available data from similar markets, a reasonable estimate for the 2025 market size could be placed between $250 million and $350 million. This estimate accounts for factors such as the rising adoption of MAP technology in food processing, stringent regulations regarding food safety, and the need for precise and reliable quality control methods throughout the supply chain. The market is further segmented by analyzer type (intrusive and non-invasive) and application (fresh meat, delicatessen, baked goods, and others), with the food and beverage industry being a major contributor to overall market demand. Growth is expected to continue, with a Compound Annual Growth Rate (CAGR) estimated conservatively between 5% and 7% from 2025 to 2033. This CAGR is influenced by the expanding adoption of advanced MAP technologies, rising disposable incomes in developing economies leading to increased consumption of packaged foods, and ongoing innovation in MAP analyzer technology, which continually improves measurement accuracy and ease of use. The market's growth trajectory is influenced by several factors. Key drivers include the increasing demand for extended shelf life of food products, especially in regions with less developed cold-chain infrastructure. Furthermore, the growing awareness of food safety standards and regulations is pushing adoption of MAP analyzers for quality assurance. However, factors such as the high initial investment cost associated with MAP analyzer technology and the complexity of operation can act as potential restraints. Technological advancements aiming to make MAP analyzers more user-friendly and cost-effective are actively shaping the market landscape. Significant regional variations exist in the adoption rate of MAP analyzers, with North America and Europe currently holding the larger market share due to mature food processing industries. However, rapidly developing economies in Asia-Pacific and other regions are poised to drive significant future market growth.

This layer shows the population broken down by race and Hispanic origin. Data is from US Census American Community Survey (ACS) 5-year estimates.To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). A ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2018-2022ACS Table(s): B03002 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Data Preparation: Data table was downloaded and joined with Zip Code boundaries in the City of Tempe.Date of Census update: December 15, 2023National Figures: data.census.gov

In an urban setting, parks are created and allocated to serve a broad range of public needs. Accessible green space is an essential way to improve quality of life—providing opportunities from active healthy living to environmental resiliency. Parks strengthen our families and our Neighborhoods, and are designed to creatively bring us together as a community. While parks and green space, as a whole, are appreciated for recreation, open space offers other types of opportunities, such as designed sustainable initiatives, improving the local watershed, expanding green technology or transportation alternatives.A green space inventory, in part with the Albany 2030 Comprehensive Plan, was conducted to identify areas where the community has access to outdoor areas within a quarter-mile (or 15-minute) walking radius. Therefore this GIS inventory does not just include official City-managed parks, but combines lists and observances where other accessible open space exists (such as, pocket parks, community gardens, dog parks, sites of beautification, historic landmarks, road medians, etc.) that offer an opportunity for active recreation, passive enjoyment or sustainability initiatives (i.e., multi-use paths, stormwater management, etc.). The properties are managed jointly by the Department of Recreation and the Department of General Services. The City continues to implement its Park Renovation Plan, a City-funded effort to upgrade play spaces with improved accessibility, playground equipment, and picnic areas for people of all ages and abilities, in compliance with the Americans With Disabilities Act. Albany is 25% green space—almost three times the recommended recreational acres-to-person ratio, according to the National Recreation & Park Association. This list of open space continues to grow and change along with recreational opportunities, maintenance support, funding sources, and community needs.
Resources City Departments work in collaboration to help support and facilitate green space needs and improvements throughout the City. Department of RecreationDepartment of General ServicesPlanning DepartmentWater & Water SupplyReport property issues on SeeClickFixFind Park programs and activities at The RecDesk

This layer shows Gross Domestic Product (GDP) by State in the USA from 1997 to 2016. This is shown as total 2016 dollars. The GDP amount represents the total of all industries tracked using the NAICS system. The map is configured to show the 2016 GDP value (in 2016 dollars), and the popup shows the percent of US total GDP. The chart within the popup shows with the annual trend of GDP amount since 1997. Data is from the US Bureau of Economic Analysis and was downloaded from here. The state boundaries are generalized 2010 state boundaries from the Census Bureau's 2010 MAF/TIGER database. Note-- NAICS Industry detail is based on the 2007 North American Industry Classification System (NAICS).GDP as a measure has been largely criticized as an incomplete measure of productivity and wealth, as it does not take into account production in the informal economy, quality of life, degradation to the environment, or income distribution. However, GDP is an internationally comparable measure, used in everything from banks setting interest rates to political campaign speeches