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Rent estimates at the 50th percentile (or median) are calculated for all Fair Market Rent areas. Fair Market Rents (FMRs) are primarily used to determine payment standard amounts for the Housing Choice Voucher program, to determine initial renewal rents for some expiring project-based Section 8 contracts, to determine initial rents for housing assistance payment (HAP) contracts in the Moderate Rehabilitation Single Room Occupancy program (Mod Rehab), and to serve as a rent ceiling in the HOME rental assistance program. FMRs are gross rent estimates. They include the shelter rent plus the cost of all tenant-paid utilities, except telephones, cable or satellite television service, and internet service. The U.S. Department of Housing and Urban Development (HUD) annually estimates FMRs for 530 metropolitan areas and 2,045 nonmetropolitan county FMR areas. Under certain conditions, as set forth in the Interim Rule (Federal Register Vol. 65, No. 191, Monday October 2, 2000, pages 58870-58875), these 50th percentile rents can be used to set success rate payment standards.

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This dataset is a county level summary of housing problems of low income households. Low income households (

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This table contains data on the average cost of a market basket of nutritious food items relative to income for female-headed households with children, for California, its regions, counties, and cities/towns. The ratio uses data from the U.S. Department of Agriculture and the U.S. Census Bureau. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. An adequate, nutritious diet is a necessity at all stages of life. Inadequate diets can impair intellectual performance and have been linked to more frequent school absence and poorer educational achievement in children. Nutrition also plays a significant role in causing or preventing a number of illnesses, such as cardiovascular disease, some cancers, obesity, type 2 diabetes, and anemia. At least two factors influence the affordability of food and the dietary choices of families – the cost of food and family income. The inability to afford food is a major factor in food insecurity, which has a spectrum of effects including anxiety over food sufficiency or food shortages; reduced quality or desirability of diet; and disrupted eating patterns and reduced food intake. More information about the data table and a data dictionary can be found in the About/Attachments section.

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MyPyramid Food Data provides information on the total calories; calories from solid fats, added sugars, and alcohol (extras); MyPyramid food group and subgroup amounts; and saturated fat content of over 1,000 commonly eaten foods with corresponding commonly used portion amounts. This information is key to help consumers meet the recommendations of the Dietary Guidelines for Americans and manage their weight by understanding how many calories are consumed from "extras." CNPP has created an interactive tool from this data set available on the web at MyFood-a-pedia.gov. A mobile version is coming soon to provide consumers with assistance on-the-go.

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Decision-support function producing annual core reports on immigrants by legal status and by conducting quantitative studies and research on immigration. Develops, analyzes, and disseminates statistical information needed to inform policy and assess the effects of immigration in the United States. Goal is to provide high-quality statistical information that is relevant, timely, cost-effective, and customer-oriented.

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The FDIC's Institution Directory (ID) download file provides a list of all FDIC-insured institutions. The file includes demographic information related to the institution such as locational detail (name, city state, etc) and operating status (active, inactive, bank class, etc). The download file also contains key financial information reported by the FDIC-insured institution.

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Incident/Accident Reports - Pipeline operators are required to submit incident reports within 30 days of a pipeline accident or incident. The key information that is collected contains; in-depth location information, facility and operating information, and cause of the accident and incident. Specific information includes the time and location of the incident, number of any injuries and/or fatalities, commodity spilled/gas released, causes of failure and evacuation procedures. Data sets are by following system types: 1) GD-Incident : Incident Report for Gas Distribution System, 2) GTGG-Incident: Incident Report for Natural and Other Gas Transmission and Gathering Systems, 3) HL-Incident: Accident Report for Hazardous Liquid Pipeline Systems, and 4) LNG-Incident: Incident Report for Liquefied Natural Gas (LNG) Facilities.

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The Global Historical Climatology Network - Daily (GHCN-Daily) dataset integrates daily climate observations from approximately 30 different data sources. Version 3 was released in September 2012 with the addition of data from two additional station networks. Changes to the processing system associated with the version 3 release also allowed for updates to occur 7 days a week rather than only on most weekdays. Version 3 contains station-based measurements from well over 90,000 land-based stations worldwide, about two thirds of which are for precipitation measurement only. Other meteorological elements include, but are not limited to, daily maximum and minimum temperature, temperature at the time of observation, snowfall and snow depth. Over 25,000 stations are regularly updated with observations from within roughly the last month. The dataset is also routinely reconstructed (usually every week) from its roughly 30 data sources to ensure that GHCN-Daily is generally in sync with its growing list of constituent sources. During this process, quality assurance checks are applied to the full dataset. Where possible, GHCN-Daily station data are also updated daily from a variety of data streams. Station values for each daily update also undergo a suite of quality checks.

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Decrease the percentage of people with Type 2 diabetes from 11.2% in 2014 to 10.1% by 2019.

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This is a tiled collection of the National Elevation Dataset (NED) and is one meter resolution. Data in this layer represent a bare earth surface. The National Elevation Dataset (NED) serves as the elevation layer of The National Map, and provides basic elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use NED data for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The NED is an elevation dataset that consists of seamless layers and non-seamless high resolution layers. Each of the seamless layers are composed of the best available raster elevation data of the conterminous United States, Alaska, Hawaii, territorial islands, Mexico and Canada. The NED is updated continually as new data become available. All NED data are in the public domain. The NED is derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. The spatial reference used for tiles of the one meter layer within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 (NAD83). All bare earth elevation values are in meters and are referenced to the North American Vertical Datum of 1988 (NAVD88). Each tile is distributed in the UTM Zone in which it lies. If a tile crosses two UTM Zones, it is delivered in both zones. Only source data of one meter resolution or finer are used to produce the NED standard one meter layer

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The Veterans Health Administration (VHA) is increasingly dependent upon data. Most of its employees generate and use vast amounts of data on a daily basis. To improve our capacity for data analysis while providing the most efficient and the highest quality health care to our Veteran patients, VHA, working with the VA Office of Information and Technology, implemented a health data warehouse. Central to this plan is consolidating data from disparate sources into a coherent single logical data model. The Corporate Data Warehouse (CDW) is the physical implementation of this logical data model at the enterprise level for VHA. Although the CDW initially began to store data as early as 2006, a renewed effort began in 2010 to accelerate CDW's content by including more subject areas from Veterans Health Information Systems and Technology Architecture (VistA) and content from other existing national data systems. CDW supports fully developed subject areas in its production environment as well as supporting rapid prototyping by extracting data directly from source systems with very minor data transformations. The Regional Data Warehouses and the Veterans Integrated Service Network (VISN) Data Warehouses share content from CDW and allow for greater reporting flexibility at the local level throughout the VHA organization.

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Data provides current information regarding single family homes, and ranches for sale by the U.S. Federal Government. These previously owned properties are for sale by public auction or other method depending on the property.

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To provide broad and timely measures of combined changes in business sales and end-of-month inventories for domestic retail trade, wholesale trade and manufacturers' activities.

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This data is from the California Safe Cosmetics Program (CSCP) in the California Department of Public Health. The primary purpose of the CSCP is to collect information on hazardous and potentially hazardous ingredients in cosmetic products sold in California and to make this information available to the public. For all cosmetic products sold in California, the California Safe Cosmetics Act requires the manufacturer, packer, and/or distributor named on the product label to provide to the CSCP a list of all cosmetic products that contain any ingredients known or suspected to cause cancer, birth defects, or other developmental or reproductive harm. The CSCP maintains a list of “reportable” ingredients. Companies with reportable ingredients in their products must submit information to the California Safe Cosmetics Program if the company: •Has annual aggregate sales of cosmetic products of one million dollars or more, and •Has sold cosmetic products in California on or after January 1, 2007. The data table consists of: label names of cosmetic/personal care products, company/manufacturer names, product brand names, product categories, Chemical Abstracts Service registry numbers (CAS#) of the reported chemical ingredients, names of reported chemical ingredients, the number of reported chemicals for each product, and dates of reporting, product discontinuation or reformulation if applicable. The data reflect information that has been reported to the CSCP. All products containing carcinogens or developmental or reproductive toxicants may not be included, due to companies failing to report.

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This table contains data on the percent of the population in the labor force who are unemployed (unemployment rate), for California, its regions, counties, county divisions, cities/towns, and census tracts. Data is from the Local Area Unemployment Statistics (LAUS), Bureau of Labor Statistics (BLS), and the U.S. Census Bureau, American Community Survey (ACS). The 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). Unemployment is associated with higher rates of self-reported poor health, long-term illnesses, higher incidence of risky health behaviors (alcoholism, smoking), and increased mortality. Various explanations have been proposed for the link between poor health and unemployment; for example, economic deprivation that results in reduced access to essential goods and services. Another explanation is that unemployment causes the loss of latent functions (social contact, social status, time structure and personal identity) which can result in stigma, isolation and loss of self-worth. More information about the data table and a data dictionary can be found in the About/Attachments section.

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The 2010 School Survey on Crime and Safety (SSOCS:2010) is a study that is part of the School Survey on Crime and Safety program. SSOCS:2010 (http://nces.ed.gov/surveys/ssocs/) is a cross-sectional survey of the nation's public schools designed to provide estimates of school crime, discipline, disorder, programs and policies. SSOCS is administered to public primary, middle, high, and combined school principals in the spring of even numbered school years. The study was conducted using a questionnaire and telephone follow-ups of school principals. Public schools were sampled in the spring of 2010 to participate in the study. The study�s response rate was 74.3 percent. A number of key statistics on a variety of topics can be produced with SSOCS data.

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The Toxics Release Inventory (TRI) is a database containing detailed information on nearly 650 chemicals and chemical categories that approximately 22,000 industrial and federal facilities manage through disposal or other releases, or recycling, energy recovery, or treatment. This inventory was established under the Emergency Planning and Community Right-to-Know Act of 1986 (EPCRA) and expanded by the Pollution Prevention Act of 1990.

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The Mortality - Infant Deaths (from Linked Birth / Infant Death Records) online databases on CDC WONDER provide counts and rates for deaths of children under 1 year of age, occuring within the United States to U.S. residents. Information from death certificates has been linked to corresponding birth certificates. Data are available by county of mother's residence, child's age, underlying cause of death, gender, birth weight, birth plurality, birth order, gestational age at birth, period of prenatal care, maternal race and ethnicity, maternal age, maternal education and marital status. Data are available since 1995. The data are produced by the National Center for Health Statistics.

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State- and county-level records of disaster designations made by the US Secretary of Agriculture in response to widespread and severe drought.

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The California Tobacco Control Program (CTCP) coordinates statewide tobacco control efforts and funds the California Student Tobacco Survey (CSTS). This data table shows the current smoking prevalence from 2001 to 2012 for Californian high school youth and by gender based on the CSTS. Current cigarette smoking was defined as having smoked on one or more days during the past 30 days prior to the survey. (In statistics, a confidence interval is a measure of the reliability of an estimate. It is a type of interval estimate of a population parameter.) A biennial survey, the CSTS is a large-scale, in-school student survey administered to middle (grades 6-8) and high school (grades 9-12) students. Topics of the survey include tobacco-use behavior, beliefs about the health consequences of using tobacco products from smokeless cigarettes to kreteks (clove/tobacco cigarettes), exposure to tobacco education in schools, and exposure to tobacco advertising. The survey provides coverage of topics such as smoking behaviors, attitudes, knowledge, and awareness about tobacco and tobacco use prevention.

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Collected survey microdata on income and program participation.

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The Occupational Employment Statistics (OES) program conducts a semi-annual mail survey designed to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates by geographic area and by industry. Estimates based on geographic areas are available at the National, State, Metropolitan, and Nonmetropolitan Area levels. The Bureau of Labor Statistics produces occupational employment and wage estimates for over 450 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and 5-digit North American Industry Classification System (NAICS) industrial groups. Cross-industry estimates are available by Nation, State, and metropolitan area for about 800 occupations. Industry specific estimates are available at the National level for over 450 industries.

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The GIS Web Mapping Application is design to have the look and feel as Google Earth. The primary functionality is to provide the user information about FRA's rail lines, rail crossings, freight stations, and mileposting.

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The FBI's Uniform Crime Reporting (UCR) system accepts voluntary crime data from nearly 17,000 domestic law enforcement agencies. This data, collected since the 1920s, is the cornerstone for national crime statistics and is used by law enforcement, resea

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The dataset includes design elements, installed capacity, production capability, associated costs and cost -to-benefit ratios for nearly 200 water storing and conveying structures currently maintained by the Bureau of Reclamation. These data were used to support the internal study and report for assessing hydropower capability at 70 of Reclamation's existing facilities where hydropower has not been developed. The dataset can further be leveraged to support applications designed to provide a better understanding of our hydropower production potential and resource utilization.