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The National Compensation Survey (NCS) program produces information on wages by occupation for many metropolitan areas and also for the Nation as a whole. Wage rates for different work levels within occupation groups also are published. Data are available for private industry, State and local governments, full-time workers, part-time workers, and other workforce characteristics.

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Border Protection Enforcement Tracking System 2 (BPETS2) is an operational workforce management system designed to provide a single, standardized format for reporting within the Office of Border Patrol (OBP). BPETS2 is the main source solution to provide reporting for the Congressional mandated Government Performance Results Act (GPRA) within OBP. The BPETS2 program is the next generation of transactional BPETS functionality, including modules for employee information and behind-the-scenes interfaces with CBP Overtime Scheduling System (COSS) and WebTELE, scheduling management, Operational Requirements Based Budget Process (ORBBP) planning and Significant Incident Report (SIR) reporting. BPETS2 will seamlessly integrate with the enterprise reporting solution for standardized reporting.

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The 2001 Residential Finance Survey (RFS) was sponsored by the Department of Housing and Urban Development and conducted by the Census Bureau. The RFS is a follow-on survey to the 2000 decennial census designed to collect, process, and produce information about the financing of all nonfarm, residential properties. The 1991 data is also available.

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The Health Care Financing Review publication is the predecessor to the Medicare and Medicaid Research Review.

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Medicare certified institutional providers are required to submit an annual cost report to a Medicare Administrative Contractor. The cost report contains provider information such as facility characteristics, utilization data, cost and charges by cost center, in total and for Medicare, Medicare settlement data, and financial statement data. CMS maintains the cost report data in the Healthcare Provider Cost Reporting Information System, HCRIS. HCRIS includes subsystems for the Hospital Cost Report CMS 2552 96 and CMS 2552 10, Skilled Nursing Facility Cost Report CMS 2540 96, Home Health Agency Cost Report CMS 1728 94, Renal Facility Cost Report CMS 265 94, Health Clinic Cost Report CMS 222 92 and Hospice Cost Report CMS 1984 99. The data consists of every data element included in the HCRIS extract created for CMS by the providers Administrative Contractor.

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The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).

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The Rail Network (NTaD 2015) is a comprehensive database of the nation's railway system at 1:24,000 to 1:100,000 scale. The data set covers all 50 States plus the District of Columbia.

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A Qualified Census Tract (QCT) is any census tract (or equivalent geographic area defined by the Census Bureau) in which at least 50% of households have an income less than 60% of the Area Median Gross Income (AMGI). HUD has defined 60% of AMGI as 120% of HUD's Very Low Income Limits (VLILs), which are based on 50% of area median family income, adjusted for high cost and low income areas.

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Pursuant to Executive Order 13583 and to the Government-wide Strategic Plan, which was published on November 17, 2011, the OPM Office of Diversity and Inclusion (ODI) developed a Diversity and Inclusion (D&I) Dashboard for agency use in workforce planning and reporting, with information culled from the Federal Employee Viewpoint Survey (FEVS) and the Enterprise Human Resources Integration (EHRI) data sets. The D&I Dashboard is a government specific tool created to provide agencies with demographic data about hiring, group attrition, employee inclusion perceptions, and overall accountability in regard to D&I efforts. One of the goals of the D&I Dashboard is to provide data that is formatted in such a way that anyone can view it, explore it and readily understand it. We provide summary data that cannot be connected to individuals.

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Environmental Sensitivity Index (ESI) data characterize the marine and coastal environments and wildlife based on sensitivity to spilled oil. Coastal species that are listed as threatened, endangered, or as a species of concern, by either federal or state governments, are a primary focus. A subset of the ESI data, the ESI Threatened and Endangered Species (T&E) databases focus strictly on these species. Species are mapped individually. In addition to showing spatial extent, each species polygon, point, or line has attributes describing abundance, seasonality, threatened/endangered status, and life history. Both the state and federal status is provided, along with the year the ESI data were published. This is important, as the status of a species can vary over time. As always, the ESI data are a snapshot in time. The biology layers focus on threatened/endangered status, areas of high concentration, and areas where sensitive life stages may occur. Supporting data tables provide species-/location-specific abundance, seasonality, status, life history, and source information. Human-use resources mapped include managed areas (parks, refuges, critical habitats, etc.) and resources that may be impacted by oiling and/or cleanup, such as beaches, archaeological sites, marinas, etc. ESIs are available for the majority of the US coastline, as well as the US territories. ESI data are available as PDF maps, as well as in a variety of GIS formats. For more information, go to http://response.restoration.noaa.gov/esi . To download complete ESI data sets, go to http://response.restoration.noaa.gov/esi_download .

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Country specific data by year, month and quarter. Most data are available back to 1980. Fuel production, consumption, imports, exports, capacity, stocks, emissions, heat contents, and conversion factors; as well as population, as available for all fuels and countries.

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The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Area Hydrography Shapefile contains the geometry and attributes of both perennial and intermittent area hydrography features, including ponds, lakes, oceans, swamps (up to the U.S. nautical three-mile limit), glaciers, and the area covered by large rivers, streams, and/or canals that are represented as double-line drainage. Single-line drainage water features can be found in the Linear Hydrography Shapefile (LINEARWATER.shp). Linear water features includes single-line drainage water features and artificial path features, where they exist, that run through double-line drainage features such as rivers, streams, and/or canals, and serve as a linear representation of these features.

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A current, accurate spatial representation of all historic properties listed on the National Register of Historic Places is of interest to Federal agencies, the National Park Service, State Historic and Tribal Historic Preservation Offices, local government and certified local governments, consultants, academia, and the interested public. This interest stems from the regulatory processes of managing cultural resources that are consistent with the National Historic Preservation Act as Amended (NHPA), the National Environmental Policy Act as Amended, the Archaeological Resources Protection Act, and other laws related to cultural resources. The regulations promulgating these laws require the use of spatial data in support of various decisions and actions related to cultural resource management.The information contained in the feature attribute tables for this dataset is not descriptive. Rather the tables document how the data was created, where it came from, who created the data, what map parameters were used e.g. source scale, source accuracy, source coordinate system etc. Also included is information on the name of the resource, status of the resource i.e. does it still exist, is it restricted and what if any constraints are associated with the resource. Please note that each historic property listed on the National Register has its own nominating history and therefore location information collected in the nominating process is different from one property to another. Therefore metadata has been created for each listed historic property to inform the potential user of the history or lineage of the spatial information associated with the historic property. Locations associated with restricted National Register of Historic Places properties are not included in this GeoDatabase and must be requested from the National Park Service, National Register Program.The metadata in the feature attribute table are compliant with the National Park Service’s Cultural Resource Spatial Data Transfer Standards. These standards were created to facilitate the exchange of spatial data within a variety of contexts, particularly Sections 106 and 110 of NHPA as well as in the context of disaster recovery events. Often locations of National Register listed properties are needed in these situations. The National Register Geo-spatial dataset is organized as a geo-database with feature class definitions based on the National Register’s Resource Type designations i.e. historic buildings, historic districts, historic structures, historic objects, and historic sites. The definitions of these types can be found in National Register Bulletin 16A and in the metadata statements for each feature class.

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The poverty rate (US Census-defined) table contains data on the percentage of the total population living below the poverty level, percentage of children living below the poverty level, and concentrated poverty data for California, its regions, counties, cities, towns, and Census tracts. Data for multiple time periods (2000, 2005-2007, 2008-2010, and 2006-2010) and with race/ethnicity stratification is included in the table. Concentrated poverty is the percentage of the poor living in Census tracts where 40% of the population or higher, are poor. The poverty rate table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity (http://www.cdph.ca.gov/programs/Pages/HealthyCommunityIndicators.aspx). Poverty is an important social determinant of health (see http://www.healthypeople.gov/2020/topicsobjectives2020/overview.aspx?top...) that can impact people’s access to basic necessities (housing, food, education, jobs, and transportation), and is associated with higher incidence and prevalence of illness, and with reduced access to quality health care. More information on the data table and a data dictionary can be found in the About/Attachments section.

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Beginning in 2013 and specifically in the first half of 2014, CBP has seen an overall increase in the apprehension of Unaccompanied Alien Children from Central America at the Southwest Border, specifically in the Rio Grande Valley. Family Unit and Unaccompanied Alien Children (0-17) apprehensions FY 14 through June, compared to the same time period for FY 13.

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USCRN Hourly Products are available on public FTP and derived from the USCRN processed data. Hourly products include averages and calculated values for precipitation, air temperature, solar radiation, surface temperature, relative humidity, soil moisture, and soil temperature on hourly time scale. Other products are available from USCRN, including sub-hourly, daily, and monthly products. It is the general practice of USCRN to not calculate derived variables if the input data to these calculations are flagged. These data records are versioned based on the processing methods and algorithms used for the derivations, and data are updated when the higher quality raw data become available from stations' datalogger storage (Datalogger Files).

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The Food Plans represent a nutritious diet at four different cost levels: thrifty plan, low-cost plan, moderate-cost plan, and a liberal plan. The report is based on the costs of home-prepared meals and snacks.

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The Disaggregated Futures and Options Commitments of Traders dataset provides a breakdown of each week's open interest for agriculture, energy, metals, lumber, and emissions futures markets in which 20 or more traders hold positions equal to or above the reporting levels established by the CFTC. Open interest is reported separately by reportable and non-reportable positions for Producer/Merchant/Processor/User, Swap Dealers, Managed Money. and Other Reportables holdings, including spreading, changes from the previous report, percents of open interest by category, and numbers of traders. Agriculture futures market data is also grouped by crop year, where appropriate, and shows the concentration of positions held by the largest four and eight traders.

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The annual Agricultural Resource Management Survey (ARMS) is USDA's primary source of information on the financial condition, production practices, and resource use of America's farm businesses and the economic well-being of America's farm households. ARMS data are essential to USDA, congressional, administration, and industry decision makers when weighing alternative policies and programs that touch the farm sector or affect farm families.

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This dataset contains the annual number of hospital discharges, crude hospitalization rates with corresponding 95% confidence intervals, and age-adjusted hospitalization rates with corresponding 95% confidence intervals, for the years 2000 – 2011, by Chicago U.S. Postal Service ZIP code or ZIP code aggregate. See the full description at http://bit.ly/Os5wnn.

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This dataset is for death of California residents, by Zip Code, by age group by place of residence. The death counts per age group, represents the deaths to California residents, regardless of the place of death occurrence. A non-California resident who die inside of California would not be included in the dataset.

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The Polychlorinated Biphenyls (PCB) Transformer Registration Database tracks geographic and dated information of registered PCB transformers.

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This map layer portrays the State boundaries of the United States, and the boundaries of Puerto Rico and the U.S. Virgin Islands. The map layer was created by extracting the State boundary polygons from the individual 1:2,000,000-scale State boundary Digital Line Graph (DLG) files produced by the U.S. Geological Survey. These files were then merged into a single coverage. This is an updated version of the June 2002 map layer; the date when each State was admitted to the United States was added.

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The Child Abuse Prevention and Treatment Act (Public Law 93-247), as amended, directed the Secretary of the U.S. Department of Health and Human Services (DHHS) to establish a national data collection and analysis program on child abuse and neglect. In res

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These data represent all data collected from Argo profiling floats through the current month (August 2015). The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project (for additional information about Argo, see http://www.argo.ucsd.edu/). Argo data have been archived by the US NODC on a monthly basis starting the second quarter of FY 2003. These data may include real-time and/or delayed-mode profiles of ocean temperature, salinity, dissolved oxygen as well as related conductivity and/or pressure measurements. These data were collected by Argo profiling floats and other profiling float data not directly handled by the Argo data assembly centers. Profiling floats have been deployed since 1995 by several research projects.