WorldWideScience

Sample records for agricultural census commission

  1. Comparison of farmers in the agricultural health study to the 1992 and the 1997 censuses of agriculture.

    Science.gov (United States)

    Lynch, Charles F; Sprince, Nancy L; Heywood, Ellen; Pierce, Joy; Logsden-Sackett, Nyla; Pennybacker, Margaret; Alavanja, Michael C R

    2005-01-01

    The Agricultural Health Study (AHS) is a large, prospective cohort study in the states of Iowa and North Carolina that has been developed to better understand how pesticides and other agricultural exposures relate to the occurrence of cancer and other diseases. This report compares the characteristics of AHS farmers to the Census of Agriculture to evaluate the generalizability of AHS findings. We restricted the AHS to private pesticide applicators who enrolled in Iowa (n = 31,065) and in North Carolina (n = 17,239) between 1993 and 1997, and who identified themselves as living or working on a farm. We compared their self-reported data with data from the 1992 and 1997 Censuses of Agriculture. AHS farmers in Iowa are younger; live or work on larger farms; more frequently apply herbicides, insecticides, and fungicides; and are more likely to raise beef cattle and swine, and grow corn, soybeans, hay, and oats. AHS farmers in North Carolina are also younger, live or work on larger farms, more frequently reported growing crops commonly seen in the state, and are more frequent pesticide users. However, animals raised are similar to those in the North Carolina Census of Agriculture. AHS farmers likely represent the higher end of pesticide usage in both states in part because AHS farmers have larger farms. Since the health effects of pesticides are best ascertained among pesticide users with the greatest exposure, the AHS cohort should prove to be a valuable resource for health effects research.

  2. China Dimensions Data Collection: China County-Level Data on Population (Census) and Agriculture, Keyed to 1:1M GIS Map

    Data.gov (United States)

    National Aeronautics and Space Administration — China County-Level Data on Population (Census) and Agriculture, Keyed To 1:1M GIS Map consists of census, agricultural economic, and boundary data for the...

  3. Beyond the census : Reconstructing Dutch women's labour market participation in agriculture in the Netherlands, ca. 1830–1910

    NARCIS (Netherlands)

    van Nederveen Meerkerk, Elise; Paping, Richard

    2014-01-01

    Many historians have pointed out for various countries that nineteenth-century national censuses do not accurately reflect women’s economic activity. This was no different for the Dutch national censuses. In this article, we argue that under-recording was especially severe in agriculture, and that

  4. Beyond the census. Reconstructing Dutch women's labour market participation in agriculture in the Netherlands, ca. 1830–1910

    NARCIS (Netherlands)

    Nederveen Meerkerk, van E.J.V.; Paping, R.

    2014-01-01

    Many historians have pointed out for various countries that nineteenth-century national censuses do not accurately reflect women's economic activity. This was no different for the Dutch national censuses. In this article, we argue that under-recording was especially severe in agriculture, and that

  5. Agricultural production in the United States by county: a compilation of information from the 1974 census of agriculture for use in terrestrial food-chain transport and assessment models

    Energy Technology Data Exchange (ETDEWEB)

    Shor, R.W.; Baes, C.F. III; Sharp, R.D.

    1982-01-01

    Terrestrial food-chain models that simulate the transport of environmentally released radionuclides incorporate parameters describing agricultural production and practice. Often a single set of default parameters, such as that listed in USNRC Regulatory Guide 1.109, is used in lieu of site-specific information. However, the geographical diversity of agricultural practice in the United States suggests the limitations of a single set of default parameters for assessment models. This report documents default parameters with a county-wide resolution based on analysis of the 1974 US Census of Agriculture for use in terrestrial food chain models. Data reported by county, together with state-based information from the US Department of Agriculture, Economic and Statistics Service, provided the basis for estimates of model input parameters. This report also describes these data bases, their limitations, and lists default parameters by county. Vegetable production is described for four categories: leafy vegetables; vegetables and fruits exposed to airborne material; vegetables, fruits, and nuts protected from airborne materials; and grains. Livestock feeds were analyzed in categories of hay, silage, pasture, and grains. Pasture consumption was estimated from cattle and sheep inventories, their feed requirements, and reported quantities of harvested forage. The results were compared with assumed yields of the pasture areas reported. In addition, non-vegetable food production estimates including milk, beef, pork, lamb, poultry, eggs, goat milk, and honey are described. The agricultural parameters and land use information - in all 47 items - are tabulated in four appendices for each of the 3067 counties of the US reported to the Census of Agriculture, excluding those in Hawaii and Alaska.

  6. Agricultural production in the United States by county: a compilation of information from the 1974 census of agriculture for use in terrestrial food-chain transport and assessment models

    International Nuclear Information System (INIS)

    Shor, R.W.; Baes, C.F. III; Sharp, R.D.

    1982-01-01

    Terrestrial food-chain models that simulate the transport of environmentally released radionuclides incorporate parameters describing agricultural production and practice. Often a single set of default parameters, such as that listed in USNRC Regulatory Guide 1.109, is used in lieu of site-specific information. However, the geographical diversity of agricultural practice in the United States suggests the limitations of a single set of default parameters for assessment models. This report documents default parameters with a county-wide resolution based on analysis of the 1974 US Census of Agriculture for use in terrestrial food chain models. Data reported by county, together with state-based information from the US Department of Agriculture, Economic and Statistics Service, provided the basis for estimates of model input parameters. This report also describes these data bases, their limitations, and lists default parameters by county. Vegetable production is described for four categories: leafy vegetables; vegetables and fruits exposed to airborne material; vegetables, fruits, and nuts protected from airborne materials; and grains. Livestock feeds were analyzed in categories of hay, silage, pasture, and grains. Pasture consumption was estimated from cattle and sheep inventories, their feed requirements, and reported quantities of harvested forage. The results were compared with assumed yields of the pasture areas reported. In addition, non-vegetable food production estimates including milk, beef, pork, lamb, poultry, eggs, goat milk, and honey are described. The agricultural parameters and land use information - in all 47 items - are tabulated in four appendices for each of the 3067 counties of the US reported to the Census of Agriculture, excluding those in Hawaii and Alaska

  7. 77 FR 50082 - Notice of Opportunity To Submit Content Request for the 2013 Census of Aquaculture

    Science.gov (United States)

    2012-08-20

    ... Content Request for the 2013 Census of Aquaculture AGENCY: National Agricultural Statistics Service... requests for the 2013 Census of Aquaculture. This census is required by law under the ``Census of... results of the 2005 Census of Aquaculture were released in October 2006. For more information, visit...

  8. [The population census in Nigeria 1991: geographical aspects of a political poker game].

    Science.gov (United States)

    Fricke, W; Malchau, G

    1994-01-01

    The population of Nigeria has been estimated at more than 100 million by various sources. The UN in 1987 estimated it at 87 million, the World Bank at 106.2 million, and the Nigerian National Population Commission at 112.3 million. However, the 1991 census, which was carefully conducted, came up with only 87.5 million, whereas according to the World Bank the number should have exceeded 120 million. The discrepancy of 30 million provoked strong reaction among politicians in the country. 5-year average growth rates between 1970 and 1990 indicated an increase from 26.6% to 37.9%; therefore, the population during the 28-year period from 1963 and 1991 must have approximated 100 million. The figure of 112.3 million would require a growth rate of 34.9%, which was plausible from the early 1970s. The results of the 1991 census have pointed to an enigmatic curiosity: was it an accident that the North has registered the highest annual growth rates dating back to 1963, or even 1952? The political infighting and series of coups d'etat by generals may also be correlated to this numerical distortion, since all these generals were Northerners. An accurate analysis was not possible because of the paucity of data. The census of 1991 has not been fully disclosed until the present time [August 1994], strengthening the case of the skeptics, although the full publication of the figures has to do with the political situation in Nigeria. The democratization process was halted after June 1992, especially after the invalidation of the results of the presidential election and the seizing of power by General Abacha. In the event that a democratic government arises, perhaps the figures of the 1991 census will be published, which could also explain the lower growth rate of the economic centers in the Southwest and the Southeast. Nigeria sorely needs more reliable census data for planning because of a one-sided export structure (95% of foreign currency is earned from oil), neglected agriculture

  9. U.S.-State Agricultural Data. Agriculture Information Bulletin Number 512.

    Science.gov (United States)

    Womack, Letricia M.; Traub, Larry G.

    This report presents agricultural information for each state and the United States as a whole for the years 1981-1985. Included are data on population, land use, agricultural production, farm income, value of assets on farms, and selected characteristics of farms. The primary data sources are the "1982 Census of Agriculture," the…

  10. U.S.-State Agricultural Data. Agriculture Information Bulletin Number 501.

    Science.gov (United States)

    Womack, Letricia M.; And Others

    This report presents agricultural information for each of the 50 states and the United States. Data are provided on population, land use, agricultural production, farm income, value of assets on farms, and selected characteristics of farms, such as size, tenure, and farm organization. Primary data sources are the 1982 Census of Agriculture and the…

  11. Developing Poultry Facility Type Information from USDA Agricultural Census Data for Use in Epidemiological and Economic Models

    Energy Technology Data Exchange (ETDEWEB)

    Melius, C

    2007-12-05

    The epidemiological and economic modeling of poultry diseases requires knowing the size, location, and operational type of each poultry type operation within the US. At the present time, the only national database of poultry operations that is available to the general public is the USDA's 2002 Agricultural Census data, published by the National Agricultural Statistics Service, herein referred to as the 'NASS data'. The NASS data provides census data at the county level on poultry operations for various operation types (i.e., layers, broilers, turkeys, ducks, geese). However, the number of farms and sizes of farms for the various types are not independent since some facilities have more than one type of operation. Furthermore, some data on the number of birds represents the number sold, which does not represent the number of birds present at any given time. In addition, any data tabulated by NASS that could identify numbers of birds or other data reported by an individual respondent is suppressed by NASS and coded with a 'D'. To be useful for epidemiological and economic modeling, the NASS data must be converted into a unique set of facility types (farms having similar operational characteristics). The unique set must not double count facilities or birds. At the same time, it must account for all the birds, including those for which the data has been suppressed. Therefore, several data processing steps are required to work back from the published NASS data to obtain a consistent database for individual poultry operations. This technical report documents data processing steps that were used to convert the NASS data into a national poultry facility database with twenty-six facility types (7 egg-laying, 6 broiler, 1 backyard, 3 turkey, and 9 others, representing ducks, geese, ostriches, emus, pigeons, pheasants, quail, game fowl breeders and 'other'). The process involves two major steps. The first step defines the rules used to

  12. 2017 Census Test

    Science.gov (United States)

    /Programs Latest Information Are you in a Survey? 2020 Census 2018 Census Test 2010 Census American Information Surveys/Programs Main Are you in a Survey? 2020 Census 2018 Census Test If you have received a Census. Latest Information The 2018 Census Test will take place in Pierce County, Wash.; Providence

  13. LBA-ECO LC-04 Satellite/Census-Based 5-Minute Land Use Data, Amazonia: 1980 and 1995

    Data.gov (United States)

    National Aeronautics and Space Administration — This data set contains 5-minute land use maps for agricultural activity in Amazonia. The data set was produced by the statistical fusion of agricultural census data...

  14. 2020 Census

    Science.gov (United States)

    What We Do Our Research Business Opportunities Census Careers Field Jobs by State Regional Offices /Programs Respond, Survey Data Newsroom News, Blogs About Us Our Research Search Population Economy Business ., area. 2017 Census Test The 2017 Census Test provided the opportunity to research new methods and

  15. Qualified Census Tracts

    Data.gov (United States)

    Department of Housing and Urban Development — 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...

  16. Italy of censuses.

    Science.gov (United States)

    Rey, G M

    1983-06-01

    To supplement census data on Italy's economy, Istat conducted a sample survey of 2% of households. This paper reports survey findings in 3 areas: age structure of the population, employment and unemployment patterns by region, and structure of the productive system. Those over age 65 years have increased from 11% of the population in 1971 to 13% in 1981 and are forecast to constitute 14.5% in 1991. Women accounted for 51.3% of the total population in 1981 but 58.5% of those over age 65. 12% of households have a member over age 75. The 0-14 year age group has declined from 24.4% of the population in 1971 to 21.5% in 1981 and is projected to comprise 17.4% in 1991. The labor force activity rate was 39.8% in 1981. Unemployment was set at 14.7% in the census sample compared with 9.1% in Istat's quarterly survey of the labor force. 60% of the difference between these 2 figures was accounted for by Campania, Sicily, Puglia, Calabria, and Latium. These 5 regions, which account for only 30% of total employment, are the areas with the most acute employment problems and highest proportions of casual employment in agriculture and traditional services. Agriculture accounted for 22% of total unemployment, construction for 18.5%, and traditional industry for 14%--percentages that are higher than the share of total employment represented by these sectors. In the South, 20.4% of employment is in agriculture, 18.1% in industry, 12.6% in construction, and 48.9% in services. The average worker in the South supports 3.3 persons compared with 2.5 persons in the North. Survey results indicate a substantial shift in the sectoral composition of employment as well as a change in the size of productive units. There has been an increase in the highly specialized components of the economy, including services to firms. The average size of factories has declined, with a proliferation of small and medium sized units. These findings suggest a need to broaden and deepen Italy's industrial base

  17. 77 FR 15369 - Mobility Fund Phase I Auction GIS Data of Potentially Eligible Census Blocks

    Science.gov (United States)

    2012-03-15

    ... GIS Data of Potentially Eligible Census Blocks AGENCY: Federal Communications Commission. ACTION... Bureaus (the ``Bureaus'') announce the availability of geographic information system (GIS) data for the...). SUPPLEMENTARY INFORMATION: This is a summary of the Mobility Fund Phase I Auction GIS Data for Potentially...

  18. Census Data

    Data.gov (United States)

    Department of Housing and Urban Development — The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic...

  19. 77 FR 6535 - Notice of the Advisory Committee on Agriculture Statistics; Meeting

    Science.gov (United States)

    2012-02-08

    ... Program Priorities, Computer Assisted Personal Interview Technology Applications, Census of Agriculture... DEPARTMENT OF AGRICULTURE National Agricultural Statistics Service Notice of the Advisory Committee on Agriculture Statistics; Meeting AGENCY: National Agricultural Statistics Service, USDA. ACTION...

  20. Kosovo 2011 Census: Contested Census within a Contested State

    Directory of Open Access Journals (Sweden)

    Mehmet Musaj

    2015-12-01

    Full Text Available This paper analyzes the census in Kosovo in 2011 with specific focus on the political implications and ethnic minority rights. A key conclusion is that this census highly influences public policy-making, and with regard to minority rights, the census data, in comparison to previous estimates and Kosovo Constitutional provisions, is not favorable to ethnic minorities. Expressing a lower number of minorities in total terms, the 2011 census explicitly reduced the representation of minorities at the central and local institutions, and consequently affected budget allocations. However, we must be aware that to some extent, because of the full boycott in the North by local Serbs, and the partial boycott in the South by the Roma and Serb communities, comparisons are limited and the data needs to be analyzed with care.

  1. Census Videos

    Science.gov (United States)

    Employment and Payroll Survey of Business Owners Work from Home Our statistics highlight trends in household statistics from multiple surveys. Data Tools & Apps Main American FactFinder Census Business Builder My Classification Codes (i.e., NAICS) Economic Census Economic Indicators Economic Studies Industry Statistics

  2. Census Photos

    Science.gov (United States)

    Employment and Payroll Survey of Business Owners Work from Home Our statistics highlight trends in household statistics from multiple surveys. Data Tools & Apps Main American FactFinder Census Business Builder My Classification Codes (i.e., NAICS) Economic Census Economic Indicators Economic Studies Industry Statistics

  3. Census.gov

    Science.gov (United States)

    Employment and Payroll Survey of Business Owners Work from Home Our statistics highlight trends in household statistics from multiple surveys. Data Tools & Apps Main American FactFinder Census Business Builder My Classification Codes (i.e., NAICS) Economic Census Economic Indicators Economic Studies Industry Statistics

  4. Census Audio

    Science.gov (United States)

    Employment and Payroll Survey of Business Owners Work from Home Our statistics highlight trends in household statistics from multiple surveys. Data Tools & Apps Main American FactFinder Census Business Builder My Classification Codes (i.e., NAICS) Economic Census Economic Indicators Economic Studies Industry Statistics

  5. Agricultural land use change in the Northeast

    Science.gov (United States)

    The USDA Census of Agriculture (http://www.agcensus.usda.gov/) provides county-level estimates of farm numbers, land use area and livestock and crop production every five years. In 2007, only eight of the 299 counties that make up the twelve Northeastern states had no agricultural land use. About 20...

  6. Region 9 Census Block 2010

    Science.gov (United States)

    Geography:The TIGER Line Files are feature classes and related database files (.) that 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 File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by non visible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2010 Census blocks nest within every other 2010 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up t

  7. In Brief: Ocean life census

    Science.gov (United States)

    Showstack, Randy

    2010-10-01

    The Census of Marine Life, an international effort to assess the diversity, distribution, and abundance of marine life, issued a report on 23 September summarizing the decade­long project that the organization calls “the most comprehensive inventory of known marine life ever compiled.” The census has involved more than 2700 scientists and 670 participating institutions from more than 80 nations and territories. In addition, three books were released on 23 September that provide an overview of census insights and their implications, a summary of findings and discoveries by the 17 census projects, and portraits of about 100 species. “The Census of Marine Life is the book of oceans' nature,” census cofounder Jesse Ausubel wrote in a forward to one of the books. Ausubel is vice president of programs for the Alfred P. Sloan Foundation, which contributed $75 million to the $650 million census. “This book reports the known, unknown, and unknowable of the first Census of Marine Life. This book is about the richness of 3.5 billion years.” For more information, visit http://www.coml.org.

  8. Census Infographics & Visualizations

    Science.gov (United States)

    Employment and Payroll Survey of Business Owners Work from Home Our statistics highlight trends in household statistics from multiple surveys. Data Tools & Apps Main American FactFinder Census Business Builder My statistics that relate to current events, observances, holidays, and anniversaries. Census Business Builder

  9. Special Census Program

    Science.gov (United States)

    Employment and Payroll Survey of Business Owners Work from Home Our statistics highlight trends in household statistics from multiple surveys. Data Tools & Apps Main American FactFinder Census Business Builder My Classification Codes (i.e., NAICS) Economic Census Economic Indicators Economic Studies Industry Statistics

  10. 500 Cities: Census Tract Boundaries

    Data.gov (United States)

    U.S. Department of Health & Human Services — This census tract shapefile for the 500 Cities project was extracted from the Census 2010 Tiger/Line database and modified to remove portions of census tracts that...

  11. Colfax County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  12. Otero County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  13. Socorro County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  14. Catron County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  15. Sierra County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  16. Curry County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  17. Harding County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  18. Bernalillo County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  19. Eddy County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  20. 7 CFR 984.91 - Relationship with the California Walnut Commission.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 8 2010-01-01 2010-01-01 false Relationship with the California Walnut Commission...) AGRICULTURAL MARKETING SERVICE (Marketing Agreements and Orders; Fruits, Vegetables, Nuts), DEPARTMENT OF... Relationship with the California Walnut Commission. In conducting Board activities and other objectives under...

  1. The Aggregate Dutch Historical Censuses

    NARCIS (Netherlands)

    Ashkpour, Ashkan; Meroño-Peñuela, Albert; Mandemakers, Kees

    2015-01-01

    Historical censuses have an enormous potential for research. In order to fully use this potential, harmonization of these censuses is essential. During the last decades, enormous efforts have been undertaken in digitizing the published aggregated outcomes of the Dutch historical censuses

  2. The Aggregate Dutch Historical Censuses

    NARCIS (Netherlands)

    A. Ashkpour (Ashkan); A. Meronõ-Peñuela (Albert); C.A. Mandemakers (Kees)

    2015-01-01

    textabstractHistorical censuses have an enormous potential for research. In order to fully use this potential, harmonization of these censuses is essential. During the last decades, enormous efforts have been undertaken in digitizing the published aggregated outcomes of the Dutch historical censuses

  3. Census County Subdivisions for the United States Virgin Islands (CENSUS.COUNTY_SUBDIV_USVI)

    Data.gov (United States)

    U.S. Environmental Protection Agency — County subdivisions are the primary divisions of counties and statistically equivalent entities for the reporting of decennial census data. They include census...

  4. 2015 Census Blocks Geodatabase

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The 2015 TIGER Geodatabases are extracts of selected nation based and state based geographic and cartographic information from the U.S. Census Bureau's Master...

  5. Santa Fe County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  6. McKinley County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  7. Sandoval County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  8. Lea County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  9. Bernalillo County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  10. Taos County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  11. 2000 Census Urban Areas and Clusters

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  12. San Miguel County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  13. Catron County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  14. Santa Fe County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  15. Los Alamos County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  16. Otero County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  17. Census Business Builder (CBB)

    Science.gov (United States)

    Employment and Payroll Survey of Business Owners Work from Home Our statistics highlight trends in household statistics from multiple surveys. Data Tools & Apps Main American FactFinder Census Business Builder My Classification Codes (i.e., NAICS) Economic Census Economic Indicators Economic Studies Industry Statistics

  18. CDC WONDER: Population (from Census)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Population online databases contain data from the US Census Bureau. The Census Estimates online database contains contains county-level population counts for...

  19. CDC WONDER: Population (from Census)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Population online databases contain data from the US Census Bureau. The Census Estimates online database contains county-level population counts for years 1970 -...

  20. Census Blockgroups for the United States Virgin Islands

    Data.gov (United States)

    U.S. Environmental Protection Agency — A census block group (BG) is a cluster of census blocks having the same first digit of their four-digit identifying numbers within a census tract. (See also Census...

  1. New Mexico, 2010 Census Census Tract State-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. De Baca County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  3. Rio Arriba County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  4. Ammonia emission factors for UK agriculture

    Science.gov (United States)

    Misselbrook, T. H.; Van Der Weerden, T. J.; Pain, B. F.; Jarvis, S. C.; Chambers, B. J.; Smith, K. A.; Phillips, V. R.; Demmers, T. G. M.

    Ammonia (NH 3) emission inventories are required for modelling atmospheric NH 3 transport and estimating downwind deposition. A recent inventory for UK agriculture, estimating emission as 197 kt NH 3-N yr -1, was constructed using 1993 statistical and census data for the UK. This paper describes the derivation of the UK-based emission factors used in the calculation of that emission for a range of livestock classes, farm practices and fertiliser applications to agricultural land. Some emission factors have been updated where more recent information has become available. Some of the largest emission factors derived for each farming practice include 16.9 g NH 3-N dairy cow -1 d -1 for grazing, 148.8 g NH 3-N liveweight unit -1 yr -1 for housed broilers and 4.8 g NH 3-N m -2 d -1 for storage of solid pig and poultry waste as manure heaps. Emissions for land spreading of all livestock waste were 59% of the total ammoniacal nitrogen (TAN) applied as a high dry matter content slurry and 76% of TAN applied as farm yard manure. An updated estimate of emission from UK agriculture, using updated emission factors together with 1997 statistical and census data, is presented, giving a total of 226 kt NH 3-N per year.

  5. 77 FR 39678 - Census Bureau

    Science.gov (United States)

    2012-07-05

    ... and small businesses. While these Exchanges are still in development and states have broad flexibility... DEPARTMENT OF COMMERCE Census Bureau Proposed Information Collection; Comment Request; 2013 Current Population Survey Annual Social and Economic Supplement Content Test AGENCY: U.S. Census Bureau...

  6. ASSESSING BRAZIL’s CERRADO AGRICULTURAL MIRACLE: AN UPDATE

    OpenAIRE

    Rada, Nicholas E.

    2013-01-01

    Brazil’s emergence as a primary global agricultural producer is often credited to production expansion into soils of the Brazilian savannah or Cerrado. These soils are, however, deficient in important nutrients and prone to degradation, requiring input-intensive processes that suggest a low level of productive efficiency. Employing a sequence of agricultural censuses and a biome approach for characterizing agricultural zones, the present study evaluates the Cerrado’s total factor producti...

  7. Information and Communication Technology in Non-agricultural ...

    African Journals Online (AJOL)

    ... problem census results reveal that respondents generally ranked “lack of information on modern job technique/ideas” third only to inadequate capital and high cost of living. It is thus imperative to set up a system that would generate and disseminate non-agricultural information and knowledge for rural transformation by, ...

  8. Ethnicity in censuses: Changeable and inconstant category

    Directory of Open Access Journals (Sweden)

    Mrđen Snježana

    2002-01-01

    Full Text Available The issue of ethnicity was set in all censuses of SFRY, as well as in the first censuses in countries that were created after its disintegration. When analyzing the censuses it can be concluded that it is a changeable category. Not only was the manner of forming the question in censuses changing, but also the number of categories of nationality and their order in published census' results. It depended on state policy and the political situation preceding the censuses. Since the answer on the issues of ethnicity is a subjective criterion, and it was written down according to the freely declared statement of the residents, guaranteed by the Constitution. It has often happened that same individuals have declared themselves differently from one census to another, and also some categories of ethnicity have vanished and some others were created. Although in SFRY nations and ethnicities were equal, still indirectly in published results, existence of these two categories was indicated. But, in newly created countries, the manner of forming the question of ethnicity was changed, their number and order were also changed and the notion of 'minority' was again introduced, indicating, beyond doubt, a different status of nationality (except the majority from the one in the former Yugoslavia.

  9. Census Careers

    Science.gov (United States)

    Indicators Economic Studies Industry Statistics Portal Other Economic Programs Business is a large part of Classification Codes (i.e., NAICS) Economic Census Economic Indicators Economic Studies Industry Statistics Portal Other Economic Programs Business Latest Information Business Characteristics Classification Codes

  10. LABOUR INPUT IN POLISH AGRICULTURE AGAINST SIZE OF AGRICULTURAL HOLDINGS – SPATIAL ANALYSIS*

    Directory of Open Access Journals (Sweden)

    Łukasz Wiśniewski

    2016-09-01

    Full Text Available The aim of this paper is to present the analysis of spatial diversifi cation in the labour input in agriculture on the basis of these selected indicators: annual work unit (AWU per 100 ha agricultural acreage; number of people per AWU; and comparison of labour input to EU-15 standards (LI-EU. Agricultural holdings have been categorised by size into three groups: 0–10 ha (small, 10–20 ha (average, and over 20 ha (large. Labour resources were subject to a comparative study of the density rates of AWUs per 100 ha agricultural acreage in Poland and the EU (EU-15. The analysis covered all of Poland with consideration of the administrative division into sixteen voivodeships (tabular analysis and 314 poviats (townships and country districts together, including regional offi ces of the Agency for Restructuring and Modernisation of Agriculture (ARiMR; cartographic analysis. The results of the Agricultural Census of 2010 were used in the study. It demonstrated a signifi cant spatial diversifi cation in labour input in agriculture in general and in each holding size group. Predominantly, the diff erences are related to historical and political factors. The analysis corroborated agrarian overpopulation in south-east Poland.

  11. Comparison of 2010 Census Nonresponse Follow-Up Proxy Responses with Administrative Records Using Census Coverage Measurement Results

    Directory of Open Access Journals (Sweden)

    Mulry Mary H.

    2017-06-01

    Full Text Available The U.S. Census Bureau is currently conducting research on ways to use administrative records to reduce the cost and improve the quality of the 2020 Census Nonresponse Followup (NRFU at addresses that do not self-respond electronically or by mail. Previously, when a NRFU enumerator was unable to contact residents at an address, he/she found a knowledgeable person, such as a neighbor or apartment manager, who could provide the census information for the residents. This was called a proxy response. The Census Bureau’s recent advances in merging federal and third-party databases raise the question: Are proxy responses for NRFU addresses more accurate than the administrative records available for the housing unit? Our study attempts to answer this question by comparing the quality of proxy responses and the administrative records for those housing units in the same timeframe using the results of 2010 Census Coverage Measurement (CCM Program. The assessment of the quality of the proxy responses and the administrative records in the CCM sample of block clusters takes advantage of the extensive fieldwork, processing, and clerical matching conducted for the CCM.

  12. Developing Livestock Facility Type Information from USDA Agricultural Census Data for Use in Epidemiological and Economic Models

    Energy Technology Data Exchange (ETDEWEB)

    Melius, C; Robertson, A; Hullinger, P

    2006-10-24

    The epidemiological and economic modeling of livestock diseases requires knowing the size, location, and operational type of each livestock facility within the US. At the present time, the only national database of livestock facilities that is available to the general public is the USDA's 2002 Agricultural Census data, published by the National Agricultural Statistics Service, herein referred to as the 'NASS data.' The NASS data provides facility data at the county level for various livestock types (i.e., beef cows, milk cows, cattle on feed, other cattle, total hogs and pigs, sheep and lambs, milk goats, and angora goats). However, the number and sizes of facilities for the various livestock types are not independent since some facilities have more than one type of livestock, and some livestock are of more than one type (e.g., 'other cattle' that are being fed for slaughter are also 'cattle on feed'). In addition, any data tabulated by NASS that could identify numbers of animals or other data reported by an individual respondent is suppressed by NASS and coded with a 'D.'. To be useful for epidemiological and economic modeling, the NASS data must be converted into a unique set of facility types (farms having similar operational characteristics). The unique set must not double count facilities or animals. At the same time, it must account for all the animals, including those for which the data has been suppressed. Therefore, several data processing steps are required to work back from the published NASS data to obtain a consistent database for individual livestock operations. This technical report documents data processing steps that were used to convert the NASS data into a national livestock facility database with twenty-eight facility types. The process involves two major steps. The first step defines the rules used to estimate the data that is suppressed within the NASS database. The second step converts the NASS

  13. Census 2000 Places (cen00pl02)

    Data.gov (United States)

    California Natural Resource Agency — Census 2000 Place Names provides a seamless statewide GIS layer of places, including census designated places (CDP), consolidated cities, and incorporated places,...

  14. 75 FR 17835 - Census Day, 2010

    Science.gov (United States)

    2010-04-07

    ... Since our Nation's earliest days, the census has played an important role in identifying where resources... receive adequate funding for schools, hospitals, senior centers, and other public works projects. The 2010 Census will also aid employers in selecting locations for new factories and businesses as our economy...

  15. 39th annual Reed rig census

    International Nuclear Information System (INIS)

    Crowhurst, M.E.; Fitts, R.L.

    1991-01-01

    This paper reports on cutbacks in U.S. exploration and development drilling during the first half of 1991 which squeezed most of the optimism out of the drilling industry. Just how rough the year has been is underscored by the results of this year's rig census. The number of rotary rigs available for U.S. drilling declined by only 69 units (3%) during the past 12 months. But despite those withdrawals from competition, only 66% of the remaining rigs were working at the time the census was taken. Results of the 1991 census contrasted sharply with the stability and optimism that seemed apparent a year ago when 72% of the available rig fleet met the census definition of active. At that time, the mini-boom in horizontal drilling coupled with tax-credit- driven gas drilling led to a relatively high rig utilization rate and suggested that rig supply and demand might be close to an economically acceptable balance. However, it quickly became apparent in early 1991 that industry optimism was unjustified. Horizontal drilling began to drop and the lowest natural gas prices in 12 years triggered rapid declines in gas drilling. Although oil prices have been relatively stable and above $18 per bbl since January 1989, most major operators have concluded that a better return on investment can be had outside the U.S. and have drastically cut their domestic drilling budgets. These factors, combined with softened energy demand from the worldwide recession, further slowed U.S. drilling. The long awaited balance between rig supply and demand has seemingly slipped away. The 1991 Reed rig census describes an industry facing several more rough years. Details of this year's census include: The available U.S. fleet now stands at 2,251 rigs, down by 69 from the 2,320-unit total in 1990, and the lowest since 1976. Rigs meeting the census definition of active numbered 1,485, down 192 (11.4%) from the 1,677 active rigs counted a year earlier

  16. Census Model Transition: Contributions to its Implementation in Portugal

    Directory of Open Access Journals (Sweden)

    Dias Carlos A.

    2016-03-01

    Full Text Available Given the high cost and complexity of traditional censuses, some countries have started to change the census process. Following this trend, Portugal is also evaluating a new census model as an alternative to an exhaustive collection of all statistical units. The main motivations for the implementation of this census model transition in Portugal are related to the decrease in statistical burden on citizens, improvements in the frequency of outputs, and the reduction of collection costs associated with census operations. This article seeks to systematise and critically review all alternatives to the traditional census methodologies, presenting their advantages and disadvantages and the countries that use them. As a result of the comparison, we conclude that the methods that best meet these objectives are those that use administrative data, either in whole or in part. We also present and discuss the results of an inventory and evaluation of administrative registers in Portugal with the potential to produce statistical census information.

  17. Syllabi for Instruction in Agricultural Meteorology.

    Science.gov (United States)

    De Villiers, G. D. B.; And Others

    A working group of the Commission for Agricultural Meteorology has prepared this report to fill a need for detailed syllabi for instruction in agricultural meteorology required by different levels of personnel. Agrometeorological personnel are classified in three categories: (1) professional meteorological personnel (graduates with basic training…

  18. New Mexico Census Tracts, Total Population (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  19. Survey of the distributions of population and agricultural produce, etc. and the application for population dose evaluation

    International Nuclear Information System (INIS)

    Iijima, Toshinori

    1978-07-01

    The computer model CARIEN to calculate the population doses due to all LWRs in Japan needs the distributions of population and agricultural produce around the nuclear installations. These distributions were presumed to be obtainable from national censuses, and a case-study survey was carried out in 1976 for the area up to 1000 km from the JAERI Tokai Research Establishment. The present report describes the survey and its results, and then discusses applicability of the censuses for population dose evaluation. The national censuses of population and foodstuffs were found to be sufficient for determining these distributions and predicting the future population changes. Results indicated the following: a) the population and agricultural produce around little contribute to the population doses, b) the contributions of leafy vegetables and cow's milk are important compared with inhalation, and c) if such as rice, egg and pork concentrate radionuclides to the same extent as leafy vegetables or milk, these are also important. (auth.)

  20. Barriers to Conducting Supervised Agricultural Experiences as Perceived by Preservice Agricultural Education Teachers

    Directory of Open Access Journals (Sweden)

    J. Joey Blackburn

    2014-10-01

    Full Text Available The purpose of this descriptive study was to assess preservice agriculture teachers’ perceptions of the importance of Supervised Agricultural Experience (SAE and their views on barriers to conducting SAE. A census of the sophomore-level agricultural education course at Oklahoma State University was conducted to measure perceptions at the beginning and end of the course. This study was framed upon Ajzen’s Theory of Planned Behavior. Results indicated that preservice teachers perceived SAE was an important component of agricultural education and important at the secondary school they attended. The greatest barrier to conducting SAE was their lack of familiarity with newer SAE categories. This was true at both the beginning and end of the course. It is recommended that preservice teachers receive instruction on and experiences in all types of SAE. This would increase the likelihood of preservice teachers perceiving they have control over this barrier regarding SAE implementation. This cohort of preservice teachers should be surveyed over time to determine change in their perceptions of barriers to SAE implementation as they progress in the agricultural education program and through their careers. Further, the views of in-service teachers should also be assessed to determine if perceived barriers differ with professional experience.

  1. Census in North Vietnam

    National Research Council Canada - National Science Library

    1960-01-01

    This population census decree aims at collecting the most fundamental and accurate data on the population situation of North Vietnam to lay the foundation for all plans and public administration policies...

  2. Food Desert Census Tract Polygons, Region 9, 2000, US EPA Region 9

    Data.gov (United States)

    U.S. Environmental Protection Agency — Census Tract Data - Census 2000 This data layer represents Census 2000 demographic data derived from the PL94-171 redistricting files and SF3. Census geographic...

  3. New Mexico Census Tracts, Households by Type (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  4. New Mexico Census Tracts, Housing Vacancy Status (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  5. 1980 Census Tracts (TIGER)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  6. Awkward Questions: Language Issues in the 2011 Census in England

    Science.gov (United States)

    Sebba, Mark

    2018-01-01

    The 2011 Census in England broke new ground, as a question about language had never previously been asked. After stakeholder consultations and a series of trials, the census authority decided on two questions based on earlier censuses in the USA: one about the respondent's "main language" and another about proficiency in English. This…

  7. 15 CFR 50.10 - Fee structure for special population censuses.

    Science.gov (United States)

    2010-01-01

    ... 15 Commerce and Foreign Trade 1 2010-01-01 2010-01-01 false Fee structure for special population... § 50.10 Fee structure for special population censuses. The Bureau of the Census is authorized to conduct special population censuses at the request of and at the expense of the community concerned. To...

  8. Exploring Agricultural Drainage's Influence on Wetland and ...

    Science.gov (United States)

    Artificial agricultural drainage (i.e. surface ditches or subsurface tile) is an important agricultural management tool. Artificial drainage allows for timely fieldwork and adequate root aeration, resulting in greater crop yields for farmers. This practice is widespread throughout many regions of the United States and the network of artificial drainage is especially extensive in flat, poorly-drained regions like the glaciated Midwest. While beneficial for crop yields, agricultural drains often empty into streams within the natural drainage system. The increased network connectivity may lead to greater contributing area for watersheds, altered hydrology and increased conveyance of pollutants into natural water bodies. While studies and models at broader scales have implicated artificial drainage as an important driver of hydrological shifts and eutrophication, the actual spatial extent of artificial drainage is poorly known. Consequently, metrics of wetland and watershed connectivity within agricultural regions often fail to explicitly include artificial drainage. We use recent agricultural census data, soil drainage data, and land cover data to create estimates of potential agricultural drainage across the United States. We estimate that agricultural drainage in the US is greater than 31 million hectares and is concentrated in the upper Midwest Corn Belt, covering greater than 50% of available land for 114 counties. Estimated drainage values for numerous countie

  9. Archive of Census Related Products (ACRP): 1992 Boundary Files

    Data.gov (United States)

    National Aeronautics and Space Administration — The 1992 Boundary Files portion of the Archive of Census Related Products (ACRP) consists of 1992 boundary data from the U.S. Census Bureau's Topologically...

  10. Census 2000 Urbanized Areas (CEN00UA02_2)

    Data.gov (United States)

    California Natural Resource Agency — For Census 2000, the Census Bureau classifies as 'urban' all territory, population, and housing units located within an urbanized area (UA) or an urban cluster (UC)....

  11. Using Random Forest to Improve the Downscaling of Global Livestock Census Data

    Science.gov (United States)

    Nicolas, Gaëlle; Robinson, Timothy P.; Wint, G. R. William; Conchedda, Giulia; Cinardi, Giuseppina; Gilbert, Marius

    2016-01-01

    Large scale, high-resolution global data on farm animal distributions are essential for spatially explicit assessments of the epidemiological, environmental and socio-economic impacts of the livestock sector. This has been the major motivation behind the development of the Gridded Livestock of the World (GLW) database, which has been extensively used since its first publication in 2007. The database relies on a downscaling methodology whereby census counts of animals in sub-national administrative units are redistributed at the level of grid cells as a function of a series of spatial covariates. The recent upgrade of GLW1 to GLW2 involved automating the processing, improvement of input data, and downscaling at a spatial resolution of 1 km per cell (5 km per cell in the earlier version). The underlying statistical methodology, however, remained unchanged. In this paper, we evaluate new methods to downscale census data with a higher accuracy and increased processing efficiency. Two main factors were evaluated, based on sample census datasets of cattle in Africa and chickens in Asia. First, we implemented and evaluated Random Forest models (RF) instead of stratified regressions. Second, we investigated whether models that predicted the number of animals per rural person (per capita) could provide better downscaled estimates than the previous approach that predicted absolute densities (animals per km2). RF models consistently provided better predictions than the stratified regressions for both continents and species. The benefit of per capita over absolute density models varied according to the species and continent. In addition, different technical options were evaluated to reduce the processing time while maintaining their predictive power. Future GLW runs (GLW 3.0) will apply the new RF methodology with optimized modelling options. The potential benefit of per capita models will need to be further investigated with a better distinction between rural and agricultural

  12. Using Random Forest to Improve the Downscaling of Global Livestock Census Data.

    Directory of Open Access Journals (Sweden)

    Gaëlle Nicolas

    Full Text Available Large scale, high-resolution global data on farm animal distributions are essential for spatially explicit assessments of the epidemiological, environmental and socio-economic impacts of the livestock sector. This has been the major motivation behind the development of the Gridded Livestock of the World (GLW database, which has been extensively used since its first publication in 2007. The database relies on a downscaling methodology whereby census counts of animals in sub-national administrative units are redistributed at the level of grid cells as a function of a series of spatial covariates. The recent upgrade of GLW1 to GLW2 involved automating the processing, improvement of input data, and downscaling at a spatial resolution of 1 km per cell (5 km per cell in the earlier version. The underlying statistical methodology, however, remained unchanged. In this paper, we evaluate new methods to downscale census data with a higher accuracy and increased processing efficiency. Two main factors were evaluated, based on sample census datasets of cattle in Africa and chickens in Asia. First, we implemented and evaluated Random Forest models (RF instead of stratified regressions. Second, we investigated whether models that predicted the number of animals per rural person (per capita could provide better downscaled estimates than the previous approach that predicted absolute densities (animals per km2. RF models consistently provided better predictions than the stratified regressions for both continents and species. The benefit of per capita over absolute density models varied according to the species and continent. In addition, different technical options were evaluated to reduce the processing time while maintaining their predictive power. Future GLW runs (GLW 3.0 will apply the new RF methodology with optimized modelling options. The potential benefit of per capita models will need to be further investigated with a better distinction between rural

  13. Census Tracts & Block Groups, 2004, East Baton Rouge, Louisiana

    Data.gov (United States)

    Louisiana Geographic Information Center — This is a graphical polygon dataset depicting the polygon boundaries of 107 semi-permanent census tracts and the census blocks within the Parish of East Baton Rouge....

  14. Decennial Censuses: Historical Data on Enumerator Productivity Are Limited

    National Research Council Canada - National Science Library

    2001-01-01

    ... it. These factors-used to calculate productivity-are some of the largest drivers of census costs, and the Bureau developed its budget for the 2000 Census using a model that contained key assumptions...

  15. 75 FR 52173 - Proposed Urban Area Criteria for the 2010 Census

    Science.gov (United States)

    2010-08-24

    ... avoid confusion with the Census Bureau's official urban- rural classifications. I. History Over the... been possible previously. Rather than delineating urban areas in an interactive and manual fashion, the... consistent fashion. For example, the Census Bureau split large agglomerations for Census 2000 by using...

  16. Local censuses in the 18th century.

    Science.gov (United States)

    Law, C M

    1969-03-01

    Abstract Recent work on the population problems of the eighteenth century has been mainly based on the use of parish records. Another source, and one which, surprisingly, has received little attention is the local census. These are more numerous than is generally realised; and can be of great use in demographic studies. This paper examines 125 local censuses mainly taken in urban areas. They are discussed in terms of how they come to be taken, their reliability, extant manuscript material and their contents. Whilst most of the censuses confine themselves to the basic facts such as total population, number of houses and number of families, some give details of sex, age, marital status and occupation. Generally the information is given for the parish or local administrative unit, but in a few instances it is available by streets.

  17. 40th annual Reed rig census

    International Nuclear Information System (INIS)

    Fitts, R.L.; Stokes, T.A.

    1992-01-01

    This paper reports that declines characterize the 1992 rig census-in the number of available drilling rigs, in the number of active rigs, in rig utilization rate, in the number of rig owners and in industry optimism. The number of rotary rigs available for U.S. drilling fell by 255 units (11.3%) during the past 12 months, an attrition rate almost four times greater than in 1991. But despite the high attrition, only 59.7% of remaining rigs were working during the time the census was taken. Results of the 1992 census bring emphasis to an industry trend that became apparent in early 1991. The major oil companies, and many independents, continued their exodus form the U.S., and the remaining independents, which were hurt by low natural gas prices and unfavorable tax treatment of intangible drilling costs, were not able to pick u the drilling slack. Consequently, the past year has been disastrous for many U.S. drilling contractors, and the outlook for this industry segment remains bleak

  18. Philippine Atomic Energy Commission: Annual report 1983

    International Nuclear Information System (INIS)

    1984-01-01

    This publication gives the highlights of the research and development projects of the Philippine Atomic Energy Commission in agriculture and food, nuclear fuels and power system technology, medicine, public health and nutrition, environmental surveillance, supportive basic research, social response to nuclear technology, nuclear licensing and safeguards, supportive technology and international and local linkages including manpower development. (ELC)

  19. Pediatric emergency department census during major sporting events.

    Science.gov (United States)

    Kim, Tommy Y; Barcega, Besh B; Denmark, T Kent

    2012-11-01

    Our study attempted to evaluate the effects of major sporting events on the census of a pediatric emergency department (ED) in the United States specifically related to the National Football League Super Bowl, National Basketball Association (NBA) Finals, and Major League Baseball World Series. We performed a retrospective data analysis of our pediatric ED census on the number of visits during major sporting events over a 5-year period. Data during the same period 1 week after the major sporting event were collected for comparison as the control. We evaluated the medians of 2-hour increments around the event start time. Subgroup analysis was performed for games involving the local sporting teams. Our results showed no significant difference in ED census during the sporting events, except in the post 6 to 8 hours of the NBA finals. Subgroup analysis of the Los Angeles Lakers showed the same significant findings in the post 6 to 8 hours of the NBA finals. No major difference in pediatric ED census is observed during the most major sporting events in the United States.

  20. Nuclear energy and Ecuadorian agriculture development

    International Nuclear Information System (INIS)

    Molineros Andrade, J.

    1979-09-01

    The Ecuadorian Atomic Energy Commission has elaborated a plan for development of nuclear energy, the construction of a 1-3 MW Nuclear Reactor for Research and production of radioisotopes and of the related laboratories. Agriculture is a very important part of this plan, in the following areas: genetics, irrigation, plant and animal nutrition and metabolisms, and pest and disease control. Ecuadorian agriculture institutions have also been considered in this plan. (Author)

  1. New Mexico Census Tracts, Race and Hispanic Ethnicity (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  2. New Mexico Census Tracts, Median Age by Sex (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  3. The Register-based Census in Germany: Historical Context and Relevance for Population Research

    Directory of Open Access Journals (Sweden)

    Rembrandt Scholz

    2016-08-01

    Full Text Available In 2011, Germany carried out its first census after a 20-year break. In light of the United Nations’ recommendations that countries initiate a population census at least every 10 years, the census was long overdue. Moreover, demographers had for some time been demanding a new enumeration that would enable them to place the calculation of demographic indicators on a reliable basis. With the 2011 census, Germany not only met the demand for a current population census, but also broke new ground by using a register-based approach. Unlike the Scandinavian countries, which have a long tradition of performing register-based data analyses, the linking of administrative data in Germany is restricted by the country’s legal framework. Thus, the 2011 census was an ambitious project. After contextualising the 2011 census historically, we discuss in this contribution the census’ relevance for generating central demographic data. Specifically, we compare the updated population estimates of the 1987 census to the results of the 2011 census in order to identify possible systematic sources of error that distort demographic indicators and analyses.

  4. Research achievements in Bangladesh agriculture using nuclear techniques

    International Nuclear Information System (INIS)

    Sattar, M.A.

    1997-01-01

    Application of isotope and radiation techniques in Bangladesh agriculture has been initiated in 1961 with the establishment of Atomic Energy Agricultural Research Centre, Dhaka under the then Pakistan Atomic Energy Commission. The activity of the centre was strengthened and upgraded to the level of an institute as a constituent organization of Bangladesh Atomic Energy Commission in 1972. It was further reorganized, made an autonomous research organization under the Ministry of Agriculture in 1982 and renamed as Bangladesh Institute of Nuclear Agriculture. The other organizations involved in nuclear agricultural research are Institute of Food and Radiation Biology and Bangladesh Agricultural University. A number of technologies have been developed using nuclear techniques that imparted on agricultural development. Sixteen new crops were developed using physical (200-700 Gy gamma rays) and chemical mutagen (NaN 3 ). Soil fertility and plant nutrition technologies were developed using both stable and radio isotopes. The improved feeding strategies and utilization of locally available low quality feed material (rice straw) were determined using 51 Cr-EDTA and 125 I in order to have better livestock growth and reproduction ability. Several constraints related to nuclear research were identified. Increased government commitment and international cooperation are of the utmost importance for effective utilization of the benefits of nuclear technology and to face the increasing demand for food for the ever increasing population in years to come

  5. Time Series Analysis for Forecasting Hospital Census: Application to the Neonatal Intensive Care Unit.

    Science.gov (United States)

    Capan, Muge; Hoover, Stephen; Jackson, Eric V; Paul, David; Locke, Robert

    2016-01-01

    Accurate prediction of future patient census in hospital units is essential for patient safety, health outcomes, and resource planning. Forecasting census in the Neonatal Intensive Care Unit (NICU) is particularly challenging due to limited ability to control the census and clinical trajectories. The fixed average census approach, using average census from previous year, is a forecasting alternative used in clinical practice, but has limitations due to census variations. Our objectives are to: (i) analyze the daily NICU census at a single health care facility and develop census forecasting models, (ii) explore models with and without patient data characteristics obtained at the time of admission, and (iii) evaluate accuracy of the models compared with the fixed average census approach. We used five years of retrospective daily NICU census data for model development (January 2008 - December 2012, N=1827 observations) and one year of data for validation (January - December 2013, N=365 observations). Best-fitting models of ARIMA and linear regression were applied to various 7-day prediction periods and compared using error statistics. The census showed a slightly increasing linear trend. Best fitting models included a non-seasonal model, ARIMA(1,0,0), seasonal ARIMA models, ARIMA(1,0,0)x(1,1,2)7 and ARIMA(2,1,4)x(1,1,2)14, as well as a seasonal linear regression model. Proposed forecasting models resulted on average in 36.49% improvement in forecasting accuracy compared with the fixed average census approach. Time series models provide higher prediction accuracy under different census conditions compared with the fixed average census approach. Presented methodology is easily applicable in clinical practice, can be generalized to other care settings, support short- and long-term census forecasting, and inform staff resource planning.

  6. The 1941 villages census – an important source for studying local history

    Directory of Open Access Journals (Sweden)

    Sergiu Tabuncic

    2014-12-01

    Full Text Available The 1941 census is an important source for studying the history of the settlements from the present-time districts of Soldanesti and Rezina in the Republic of Moldova. In 1941, those localities were part of Bessarabia’s Orhei County. The materials of that census are stored at the National Archives of the Republic of Moldova, the fund No 2069, inventory 1, part 1, file 450-a. Villages Census 1941 – this is the title of the questionnaire used to collect data. The census was conducted under the auspices of the Central Institute of Statistics subordinate to the Council of Ministers of Romania. The census questionnaire contained 28 sections, each containing questions aimed to clarify the status of settlements in terms of administrative, social, economic, ethnographic, cultural, medical and religious aspects. Many questions pertained to the duration and continuity of the population’s residing in villages listed in the census and villages’ foundation years, to description of rural settlements, permanent and temporary dwellings. Also, the census results show some elements of relations between Romanians and Roma people. The 1941 census is the most significant and representative component of local history, substantially enriching the sources of this domain of research.

  7. Tortugas Reef Fish Census (CRCP)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This is a long term data set collecting visual census transect data on reef fishes at staions located at Rileys Hump, Tortugas South Ecological Reservee.

  8. Mora County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Bernalillo County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Chaves County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Lea County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Guadalupe County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Lincoln County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Bernalillo County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Torrance County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Sierra County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Grant County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Luna County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. New Mexico, 2010 Census Place

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Otero County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Quay County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Union County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Sandoval County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Socorro County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Valencia County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Taos County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Sandoval County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Eddy County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Socorro County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Harding County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Grant County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Roosevelt County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Cibola County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Lincoln County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Lincoln County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Harding County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Union County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Taos County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Guadalupe County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Luna County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Catron County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Hidalgo County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Otero County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Curry County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Chaves County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Sierra County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Chaves County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Union County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Lea County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Otero County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Valencia County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Curry County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Quay County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Quay County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Luna County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Union County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Bernalillo County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Guadalupe County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Catron County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Cibola County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Sandoval County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Colfax County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Roosevelt County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Grant County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Sierra County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Otero County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Lea County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Lincoln County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Curry County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Eddy County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Valencia County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Hidalgo County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Harding County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Mora County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Socorro County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Quay County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Luna County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Chaves County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Taos County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Torrance County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Taos County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Hidalgo County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Mora County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Torrance County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Colfax County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Bernalillo County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Torrance County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Socorro County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Sierra County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Lea County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Cibola County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Roosevelt County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Sandoval County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Hidalgo County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Valencia County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Grant County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Eddy County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Colfax County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Mora County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Catron County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Archive of Census Related Products (ACRP): 1990 Standard Extract Files

    Data.gov (United States)

    National Aeronautics and Space Administration — The 1990 Standard Extract Files portion of the Archive of Census Related Products (ACRP) contains population and housing data derived from the U.S. Census Bureau's...

  2. The World of Organic Agriculture - Statistics and Emerging Trends 2004

    OpenAIRE

    Willer, Helga; Yussefi, Minou

    2004-01-01

    In 1999, BioFach/Oekowelt GmbH commissioned Foundation Ecology & Agriculture SOEL to compile statistical data and general information on organic agriculture world-wide. Since then this study has been revised annually, and the newest figures are regularly presented at Biofach, which takes place in Nuremberg, Germany, every year. Since the 2003 edition the Research Institute of Organic Agriculture FiBL and the International Federation of Organic Agriculture Movements (IFOAM) have collaborated i...

  3. Counting nurses: the power of historical census data.

    Science.gov (United States)

    D'Antonio, Patricia; Whelan, Jean C

    2009-10-01

    This study used census data to construct a demographic profile of early 20th century nurses in the United States. Census data are recognised as a rich source of quantitative information on long-term changes. However, difficulties in retrieving census data dissuade researchers from exploiting this source. Integrated Public Use Microdata Series, a standardised and digitialised version of census data, enables greater ease in retrieving and analysing data. A sample of respondents identifying as 'professional nurses' for the years 1900-1950 was extracted from Integrated Public Use Microdata Series categorised by the variables of race, sex and marital status. The resulting data were analysed for simple frequency statistics using SPSS software. Results revealed a tremendous increase in the number of nurses over the five decades under study. Nurses were increasingly young, female, single and white until 1930. After 1930, white and African-American women nurses began to reflect trends towards more diversity. This study is the first systematic attempt to trace the demographic trajectory of professional nurses in the United States in the early 20th century. It also demonstrates the possibilities of using digital technologies to restructure the asking and answering of historical questions. The use of quantitative methods of social history has trans-national applications which can facilitate global investigations into the demographic composition of the nursing occupation. RELEVANCE TO POLICY: This way of using digitalisation of census data provides a way to examine historical trans-national workforce trends. Such trends provide a firmer base upon which to construct workforce and practice strategies for a future global workforce.

  4. Bernalillo County Transportation Analysis Zones, Census 2000 from TIGER 2008

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database...

  5. Research achievements in Bangladesh agriculture using nuclear techniques

    Energy Technology Data Exchange (ETDEWEB)

    Sattar, M.A. [Bangladesh Institute of Nuclear Agriculture, Mymensingh, (Bangladesh)

    1997-10-01

    Application of isotope and radiation techniques in Bangladesh agriculture has been initiated in 1961 with the establishment of Atomic Energy Agricultural Research Centre, Dhaka under the then Pakistan Atomic Energy Commission. The activity of the centre was strengthened and upgraded to the level of an institute as a constituent organization of Bangladesh Atomic Energy Commission in 1972. It was further reorganized, made an autonomous research organization under the Ministry of Agriculture in 1982 and renamed as Bangladesh Institute of Nuclear Agriculture. The other organizations involved in nuclear agricultural research are Institute of Food and Radiation Biology and Bangladesh Agricultural University. A number of technologies have been developed using nuclear techniques that imparted on agricultural development. Sixteen new crops were developed using physical (200-700 Gy gamma rays) and chemical mutagen (NaN{sub 3}). Soil fertility and plant nutrition technologies were developed using both stable and radio isotopes. The improved feeding strategies and utilization of locally available low quality feed material (rice straw) were determined using {sup 51}Cr-EDTA and {sup 125}I in order to have better livestock growth and reproduction ability. Several constraints related to nuclear research were identified. Increased government commitment and international cooperation are of the utmost importance for effective utilization of the benefits of nuclear technology and to face the increasing demand for food for the ever increasing population in years to come 32 refs., 1 tab.

  6. [Automated processing of data from the 1985 population and housing census].

    Science.gov (United States)

    Cholakov, S

    1987-01-01

    The author describes the method of automated data processing used in the 1985 census of Bulgaria. He notes that the computerization of the census involves decentralization and the use of regional computing centers as well as data processing at the Central Statistical Office's National Information Computer Center. Special attention is given to problems concerning the projection and programming of census data. (SUMMARY IN ENG AND RUS)

  7. Allegheny County Jail Daily Census

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — A daily census of the inmates at the Allegheny County Jail (ACJ). Includes gender, race, age at booking, and current age. The records for each month contain a...

  8. An estimate of the U.S. government's undercount of nonfatal occupational injuries and illnesses in agriculture.

    Science.gov (United States)

    Leigh, J Paul; Du, Juan; McCurdy, Stephen A

    2014-04-01

    Debate surrounds the accuracy of U.S. government's estimates of job-related injuries and illnesses in agriculture. Whereas studies have attempted to estimate the undercount for all industries combined, none have specifically addressed agriculture. Data were drawn from the U.S. government's premier sources for workplace injuries and illnesses and employment: the Bureau of Labor Statistics databanks for the Survey of Occupational Injuries and Illnesses (SOII), the Quarterly Census of Employment and Wages, and the Current Population Survey. Estimates were constructed using transparent assumptions; for example, that the rate (cases-per-employee) of injuries and illnesses on small farms was the same as on large farms (an assumption we altered in sensitivity analysis). We estimated 74,932 injuries and illnesses for crop farms and 68,504 for animal farms, totaling 143,436 cases in 2011. We estimated that SOII missed 73.7% of crop farm cases and 81.9% of animal farm cases for an average of 77.6% for all agriculture. Sensitivity analyses suggested that the percent missed ranged from 61.5% to 88.3% for all agriculture. We estimate considerable undercounting of nonfatal injuries and illnesses in agriculture and believe the undercounting is larger than any other industry. Reasons include: SOII's explicit exclusion of employees on small farms and of farmers and family members and Quarterly Census of Employment and Wages's undercounts of employment. Undercounting limits our ability to identify and address occupational health problems in agriculture, affecting both workers and society. Copyright © 2014 Elsevier Inc. All rights reserved.

  9. 76 FR 13980 - Proposed Information Collection; Comment Request; 2012 Economic Census Covering the Information...

    Science.gov (United States)

    2011-03-15

    ... essential information for government, business, and the general public. Economic data are the Census Bureau... Economic Census Covering the Information, etc. AGENCY: U.S. Census Bureau, Commerce. ACTION: Notice... ). SUPPLEMENTARY INFORMATION: I. Abstract The economic census, conducted under authority of Title 13, United States...

  10. 75 FR 24969 - China's Agricultural Trade: Competitive Conditions and Effects on U.S. Exports

    Science.gov (United States)

    2010-05-06

    ... support and government programs related to agricultural markets, foreign direct investment policies, and... INTERNATIONAL TRADE COMMISSION [Investigation No. 332-518] China's Agricultural Trade: Competitive... investigation No. 332-518, China's Agricultural Trade: Competitive Conditions and Effects on U.S. Exports. DATES...

  11. Danger! Automation at Work; Report of the State of Illinois Commission on Automation and Technological Progress.

    Science.gov (United States)

    Karp, William

    The 74th Illinois General Assembly created the Illinois Commission on Automation and Technological Progress to study and analyze the economic and social effects of automation and other technological changes on industry, commerce, agriculture, education, manpower, and society in Illinois. Commission members visited industrial plants and business…

  12. [The need to develop demographic census systems for Latin America].

    Science.gov (United States)

    Silva, A

    1987-01-01

    The author presents the case for developing new software packages specifically designed to process population census information for Latin America. The focus is on the problems faced by developing countries in handling vast amounts of data in an efficient way. First, the basic methods of census data processing are discussed, then brief descriptions of some of the available software are included. Finally, ways in which data processing programs could be geared toward and utilized for improving the accuracy of Latin American censuses in the 1990s are proposed.

  13. Who is Hmong? Questions and Evidence from the U.S. Census

    Directory of Open Access Journals (Sweden)

    Victoria Udalova

    2006-01-01

    Full Text Available This paper explores the boundaries of the Hmong community as measured by different categories in 2000 U.S. census data. Following careful assessment of detailed Census data, the authors conclude that theusual criterion used to identify a person in the data as Hmong is too narrow, and that a broader, more inclusive definition more accurately delineates the Hmong ethnic group. The authors propose that anyonewho reported in the Census that his or her race, ancestry, or language was Hmong should be included in the Hmong community. This more inclusive method provides evidence that the Hmong populationenumerated by the 2000 U.S. census was about 18% larger than the figure that is usually reported.

  14. Accessing and operating agricultural machinery: Advancements in assistive technology for users with impaired mobility.

    Science.gov (United States)

    Ehlers, Shawn G; Field, William E

    2018-02-14

    This research focused on the advancements made in enabling agricultural workers with impaired mobility to access and operate off-road agricultural machinery. Although not a new concept, technological advancements in remote-controlled lifts, electronic actuators, electric over hydraulic controllers, and various modes of hand controls have advanced significantly, allowing operators with limited mobility to resume a high level of productivity in agricultural-related enterprises. In the United States, approximately 1.7% of the population is living with some form of paralysis or significant mobility impairment. When paired with the 2012 USDA Agriculture Census of 3.2 million farmers, it can be extrapolated that these technologies could impact 54,000 agricultural workers who have encountered disabling injuries or disease, which inhibit their ability to access and operate tractors, combines, and other self-propelled agricultural machines. Advancements in agricultural-specific technologies can allow for many of these individuals to regain the ability to effectively operate machinery once more.

  15. Results of the 2000 census of wild reindeer on the Taimyr Peninsula

    Directory of Open Access Journals (Sweden)

    Leonid A. Kolpashchikov

    2003-04-01

    Full Text Available We conducted a census of wild reindeer (Rangifer tarandus on the Taimyr Peninsula during 21-25 July 2000. This was the eighteenth aerial population census of wild reindeer on the Taimyr since counts began in 1959. Prior to the census, we conducted reconnaissance flights to identify areas of reindeer concentration. After the reindeer became aggregated, we estimated group size both visually and by photographing the larger groups. Unusually hot and dry weather (temperatures of 25-30 °C and a high density of mosquitoes during the census likely forced the reindeer to group into unusually large concentrations. In late July most of the reindeer in the Taimyr population were distributed in two groupings that contained at least 450 000 animals, and one area that contained about 110 000. Smaller groups found during the census and the estimated 43 000 resident wild reindeer that were not counted during the census brought the total minimum population estimate to about 1 040 000. The maximum number of wild reindeer present could have been as high as about 1 100 000.

  16. Census Bureau Regional Office Boundaries : New Structure as of January 2013

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The Census Bureau has six regional offices to facilitate data collection, data dissemination and geographic operations within their boundary. The surveys these...

  17. [Statement of the board of directors of the German Sociological Society on the population census].

    Science.gov (United States)

    1983-10-01

    This statement concerning population censuses has been prepared at the request of the board of directors of the German Sociological Society in light of the controversy surrounding the 1983 census in the Federal Republic of Germany. It is suggested that sample surveys cannot replace a census, a census is indispensable as a data source for regional analyses and studies of small population groups, a census must be carried out in a way that preserves the confidentiality of data, and census data must be accessible to scientific research.

  18. 75 FR 29508 - The 2010 Census Count Question Resolution Program

    Science.gov (United States)

    2010-05-26

    ... hundreds of square miles. Census blocs are the smallest geographic entities for which the Census Bureau... information on total population, sex, age, race, Hispanic or Latino origin, household relationship, group... housing units. This information includes age, sex, race, Hispanic or Latino origin, household relationship...

  19. National Knowledge Commission

    Science.gov (United States)

    Pitroda, Sam

    2007-04-01

    India's National Knowledge Commission (NKC) established by the prime minister is focused on building institutions and infrastructure in Education, Science and Technology, Innovation etc. to meet the challenges of the knowledge economy in the 21st century and increase India's competitive advantage in the global market. India today stands poised to reap the benefits of a rapidly growing economy and a major demographic advantage, with 550 million young people below the age of 25 years, the largest in the world. The NKC is focused on five critical areas of knowledge related to access, concepts, creation, applications and services. This includes a variety of subject areas such as language, translations, libraries, networks, portals, affirmative action, distance learning, intellectual property, Entrepreneurship, application in Agriculture, health, small and medium scale industries, e-governance etc. One of the keys to this effort is to build a national broadband gigabit of networks of 500 nodes to connect universities, Libraries, Laboratories, Hospitals, Agriculture institutions etc. to share resources and collaborate on multidisciplinary activities. This presentation will introduce the NKC, discuss methodology, subject areas, specific recommendation and outline a plan to build knowledge networks and specifics on network architecture, applications, and utilities.

  20. Agricultural development in the context of climate change

    Science.gov (United States)

    Mueller, N. D.; Gerber, J. S.; Ray, D. K.; Ramankutty, N.; Foley, J. A.

    2012-12-01

    Global climate change and continued intensification of agriculture are two "mega-trends" that will impact agricultural systems in the coming decades. While often these two trends are analyzed in isolation, recent work describes how climate change has historically offset some crop yield gains that would have otherwise occurred. Here we spatially analyze how these interactions between climate change and agricultural development may continue to 2025. We highlight areas that will be hit hardest by climate change and require aggressive management changes, as well as areas where large productivity increases are likely given current trends. To carry out our analysis we rely on a recently developed climate analog model to produce projections of climate-induced yield changes, projections of business-as-usual crop yield trends utilizing time-series data from ~13,500 agricultural census units, and published estimates of possible crop yield increases from aggressive intervention to close yield gaps. We find that a rich picture of agriculture in 2025 emerges when analyzing these multiple critical drivers. In many regions, existing yield trends or more aggressive management interventions (closing yield gaps) can overcome negative impacts from climate change. Thus, intensification can provide a buffer from near-term climate impacts, but it is unclear how long society may be able to rely on this buffering capacity.

  1. Philippine Atomic Energy Commission: Annual report 1982

    International Nuclear Information System (INIS)

    1983-02-01

    This publication enumerates the research and development activities of the Philippine Atomic Energy Commission with priorities geared towards achieving the economic and social upliftment of the Filipinos in the field of agriculture, energy, industry, health and environment. Highlights are summaries of investigations and studies of great importance in crop improvement, animal production, nuclear fuels, nutrition research, not to mention its supportive technology, technical services, nuclear information and public acceptance, and nuclear manpower development. (RTD)

  2. New Mexico County Boundaries (2010 Census)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Dona Ana County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Santa Fe County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Curry County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Union County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Rio Arriba County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Dona Ana County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Los Alamos County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. San Miguel County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. San Juan County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Rio Arriba County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Valencia County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Socorro County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Sandoval County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Eddy County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Dona Ana County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Los Alamos County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. McKinley County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. San Juan County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. McKinley County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Los Alamos County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. San Miguel County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. De Baca County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. McKinley County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. De Baca County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Dona Ana County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Los Alamos County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. San Juan County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Santa Fe County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. McKinley County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Rio Arriba County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. San Miguel County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Mora County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Otero County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Harding County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Torrance County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Catron County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. San Juan County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Santa Fe County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. San Miguel County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. De Baca County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Rio Arriba County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Bernalillo County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Taos County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Grant County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. New Mexico, 2010 Census American Indian

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. International and internal migration measured from the School Census in England.

    Science.gov (United States)

    Simpson, Ludi; Marquis, Naomi; Jivraj, Stephen

    2010-01-01

    The School Census is the only regularly updated dataset covering almost all of the population of a specific age, which records changes of address along with ethnicity and some family economic circumstances. It can be used to measure internal and international family migration as shown in this report. The School Census is suited to identify and quantify new local migration streams between censuses, successfully identifying the local distribution of Eastern European immigration in the decade since 2000. The measures do not provide a complete measure of migration, either internally or internationally. The exclusion of those outside the state school system means that internal migration is under-estimated, and international migration is approximately measured. The advantages of the School Census are its frequent updates, its fine geographical information, and its indicators of ethnicity and low family income, which powerfully complement other sources.

  9. Prostate cancer surveillance by occupation and industry: the Canadian Census Health and Environment Cohort (CanCHEC).

    Science.gov (United States)

    Sritharan, Jeavana; MacLeod, Jill; Harris, Shelley; Cole, Donald C; Harris, Anne; Tjepkema, Michael; Peters, Paul A; Demers, Paul A

    2018-04-01

    As there are no well-established modifiable risk factors for prostate cancer, further evidence is needed on possible factors such as occupation. Our study uses one of the largest Canadian worker cohorts to examine occupation, industry, and prostate cancer and to assess patterns of prostate cancer rates. The Canadian Census Health and Environment Cohort (CanCHEC) was established by linking the 1991 Canadian Census Cohort to the Canadian Cancer Database (1969-2010), Canadian Mortality Database (1991-2011), and Tax Summary Files (1981-2011). A total of 37,695 prostate cancer cases were identified in men aged 25-74 based on age at diagnosis. Cox proportional hazards models were used to estimate hazards ratios and 95% confidence intervals. In men aged 25-74 years, elevated risks were observed in the following occupations: senior management (HR = 1.12, 95% CI: 1.04-1.20); office and administration (HR = 1.19, 95% CI: 1.11-1.27); finance services (HR = 1.09, 95% CI: 1.04-1.14); education (HR = 1.05, 95% CI: 1.00-1.11); agriculture and farm management (HR = 1.12, 95% CI: 1.06-1.17); farm work (HR = 1.11, 95% CI: 1.01-1.21); construction managers (HR = 1.07, 95% CI: 1.01-1.14); firefighting (HR = 1.17, 95% CI: 1.01-1.36); and police work (HR = 1.22, 95% CI: 1.09-1.36). Decreased risks were observed across other construction and transportation occupations. Results by industry were consistent with occupation results. Associations were identified for white-collar, agriculture, protective services, construction, and transportation occupations. These findings emphasize the need for further study of job-related exposures and the potential influence of nonoccupational factors such as screening practices. © 2018 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

  10. A Global Perspective on Drinking-Water and Sanitation Classification: An Evaluation of Census Content.

    Science.gov (United States)

    Yu, Weiyu; Wardrop, Nicola A; Bain, Robert E S; Lin, Yanzhao; Zhang, Ce; Wright, Jim A

    2016-01-01

    Following the recent expiry of the United Nations' 2015 Millennium Development Goals (MDGs), new international development agenda covering 2030 water, sanitation and hygiene (WASH) targets have been proposed, which imply new demands on data sources for monitoring relevant progress. This study evaluates drinking-water and sanitation classification systems from national census questionnaire content, based upon the most recent international policy changes, to examine national population census's ability to capture drinking-water and sanitation availability, safety, accessibility, and sustainability. In total, 247 censuses from 83 low income and lower-middle income countries were assessed using a scoring system, intended to assess harmonised water supply and sanitation classification systems for each census relative to the typology needed to monitor the proposed post-2015 indicators of WASH targets. The results signal a lack of international harmonisation and standardisation in census categorisation systems, especially concerning safety, accessibility, and sustainability of services in current census content. This suggests further refinements and harmonisation of future census content may be necessary to reflect ambitions for post-2015 monitoring.

  11. A Global Perspective on Drinking-Water and Sanitation Classification: An Evaluation of Census Content.

    Directory of Open Access Journals (Sweden)

    Weiyu Yu

    Full Text Available Following the recent expiry of the United Nations' 2015 Millennium Development Goals (MDGs, new international development agenda covering 2030 water, sanitation and hygiene (WASH targets have been proposed, which imply new demands on data sources for monitoring relevant progress. This study evaluates drinking-water and sanitation classification systems from national census questionnaire content, based upon the most recent international policy changes, to examine national population census's ability to capture drinking-water and sanitation availability, safety, accessibility, and sustainability. In total, 247 censuses from 83 low income and lower-middle income countries were assessed using a scoring system, intended to assess harmonised water supply and sanitation classification systems for each census relative to the typology needed to monitor the proposed post-2015 indicators of WASH targets. The results signal a lack of international harmonisation and standardisation in census categorisation systems, especially concerning safety, accessibility, and sustainability of services in current census content. This suggests further refinements and harmonisation of future census content may be necessary to reflect ambitions for post-2015 monitoring.

  12. Negotiating Race and Ethnicity: exploring the implications of the 1991 Census

    OpenAIRE

    Ballard, Roger

    1996-01-01

    This paper explores the way in which the concepts of 'Ethnic group' and 'Race' were operationalised in the 1991 Census of the UK, and explores the far-reaching impact which these conceptualization have had on the character of published Census data.

  13. The geography of urban agriculture: New trends and challenges

    Czech Academy of Sciences Publication Activity Database

    Duží, Barbora; Frantál, Bohumil; Rojo, M. S.

    2017-01-01

    Roč. 25, č. 3 (2017), s. 130-138 ISSN 1210-8812 EU Projects: European Commission(XE) 642372 - INSPIRATION Institutional support: RVO:68145535 Keywords : urban agriculture * peri-urban agriculture * food production * urban farming * food gardening Subject RIV: DE - Earth Magnetism, Geodesy, Geography OBOR OECD: Urban studies (planning and development) Impact factor: 2.149, year: 2016 http://www.geonika.cz/EN/research/ENMGRClanky/2017_3_DUZI.pdf

  14. 76 FR 321 - Proposed Information Collection; Comment Request; 2012 Economic Census Covering the Utilities...

    Science.gov (United States)

    2011-01-04

    ... Economic Census Covering the Utilities, Transportation and Warehousing, Finance and Insurance, and Real... nondecennial census years. The 2012 Economic Census covering Utilities, Transportation and Warehousing, Finance... basic statistics by kind of business on the number of establishments, revenue, payroll, and employment...

  15. Los Alamos County 1990 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  16. A global census of marine microbes

    Digital Repository Service at National Institute of Oceanography (India)

    Amaral-Zettler, L.; Artigas, L.F.; Baross, J.; LokaBharathi, P.A; Boetius, A; Chandramohan, D.; Herndl, G.; Kogure, K.; Neal, P.; Pedros-Alio, C.; Ramette, A; Schouten, S.; Stal, L.; Thessen, A; De Leeuw, J.; Sogin, M.

    In this chapter we provide a brief history of what is known about marine microbial diversity, summarize our achievements in performing a global census of marine microbes, and reflect on the questions and priorities for the future of the marine...

  17. Demographic Data - TIGER/Line Shapefile, 2010, 2010 county, Miami-Dade County, FL, 2010 Census Census Tract County-based

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. TIGER/Line Shapefile, 2017, nation, U.S., Current Tribal Census Tract National

    Data.gov (United States)

    US Census Bureau, Department of Commerce — 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...

  19. TIGER/Line Shapefile, 2016, nation, U.S., Current Tribal Census Tract National

    Data.gov (United States)

    US Census Bureau, Department of Commerce — 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...

  20. 76 FR 13981 - Proposed Information Collection; Comment Request; 2012 Economic Census Covering the Construction...

    Science.gov (United States)

    2011-03-15

    ... essential information for government, business and the general public. The 2012 Economic Census covering the... Economic Census Covering the Construction Sector AGENCY: U.S. Census Bureau. ACTION: Notice. SUMMARY: The... provider of timely, relevant and quality data about the people and economy of the United States. Economic...

  1. 76 FR 13978 - Proposed Information Collection; Comment Request; 2012 Economic Census Covering the Manufacturing...

    Science.gov (United States)

    2011-03-15

    ... essential information for government, business and the general public. The 2012 Economic Census covering the... Economic Census Covering the Manufacturing Sector AGENCY: U.S. Census Bureau. ACTION: Notice. SUMMARY: The... provider of timely, relevant and quality data about the people and economy of the United States. Economic...

  2. TIGER/Line Shapefile, 2010, 2010 state, California, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. TIGER/Line Shapefile, 2010, 2010 state, Virginia, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. TIGER/Line Shapefile, 2010, 2010 state, Texas, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. TIGER/Line Shapefile, 2010, 2010 state, Tennessee, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. TIGER/Line Shapefile, 2010, 2010 state, Georgia, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. TIGER/Line Shapefile, 2010, 2010 state, Hawaii, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. TIGER/Line Shapefile, 2010, 2010 state, Indiana, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. TIGER/Line Shapefile, 2010, 2010 state, Michigan, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. TIGER/Line Shapefile, 2010, 2010 state, Delaware, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. TIGER/Line Shapefile, 2010, 2010 state, Idaho, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. TIGER/Line Shapefile, 2010, 2010 state, Montana, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. TIGER/Line Shapefile, 2010, 2010 state, Oregon, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. TIGER/Line Shapefile, 2010, 2010 state, Kansas, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. TIGER/Line Shapefile, 2010, 2010 state, Ohio, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. TIGER/Line Shapefile, 2010, 2010 state, Mississippi, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. TIGER/Line Shapefile, 2010, 2010 state, Colorado, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. TIGER/Line Shapefile, 2010, 2010 state, Kentucky, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. TIGER/Line Shapefile, 2010, 2010 state, Washington, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. TIGER/Line Shapefile, 2010, 2010 state, Maryland, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. TIGER/Line Shapefile, 2010, 2010 state, Wisconsin, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. TIGER/Line Shapefile, 2010, 2010 state, Missouri, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. TIGER/Line Shapefile, 2010, 2010 state, Illinois, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. TIGER/Line Shapefile, 2010, 2010 state, Alabama, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. TIGER/Line Shapefile, 2010, 2010 state, Minnesota, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. TIGER/Line Shapefile, 2010, 2010 state, Connecticut, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. TIGER/Line Shapefile, 2010, 2010 state, Wyoming, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. TIGER/Line Shapefile, 2010, 2010 state, Vermont, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Provincial migration in China : Preliminary insights from the 2010 population census

    NARCIS (Netherlands)

    A.M. Fischer (Andrew Martín)

    2012-01-01

    textabstractIn anticipation of the forthcoming release of the 2010 national population census of China, this paper compares the limited population data that have been released so far with annual data on natural population increase since the 2000 census in order to construct a rough but robust

  10. History of census in the Czech Republic and in France (or in Germany, in the USA)

    OpenAIRE

    Šťastný, Jan

    2016-01-01

    Principal objective of this bachelor thesis is comparing census in the Czech Republic, in France and in the USA. In introductory section concerns on history of census in particular countries, mainly on detailed describe of census during 20th century. This is followed by chapters which attend to methodology and last census in selected countries where illustrated different access in variable parts of the world is. The last part is concerned about following census and perspective to the future, ...

  11. AFSC/NMML/CCEP: Channel Islands Pinniped Census

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The National Marine Mammal Laboratories' California Current Ecosystem Program (AFSC/NOAA) initiated and maintains census programs for California sea lions (Zalophus...

  12. Multifunctionality assessment of urban agriculture in Beijing City, China.

    Science.gov (United States)

    Peng, Jian; Liu, Zhicong; Liu, Yanxu; Hu, Xiaoxu; Wang, An

    2015-12-15

    As an important approach to the realization of agricultural sustainable development, multifunctionality has become a hot spot in the field of urban agriculture. Taking 13 agricultural counties of Beijing City as the assessing units, this study selects 10 assessing index from ecological, economic and social aspects, determines the index weight using Analytic Hierarchy Process (AHP) method, and establishes an index system for the integrated agricultural function. Based on standardized data from agricultural census and remote sensing, the integrated function and multifunctionality of urban agriculture in Beijing City are assessed through the index grade mapping. The results show that agricultural counties with the highest score in ecological, economic, and social function are Yanqing, Changping, and Miyun, respectively; and the greatest disparity among those counties is economic function, followed by social and ecological function. Topography and human disturbance may be the factors that affect integrated agricultural function. The integrated agricultural function of Beijing rises at the beginning then drops later with the increase of mean slope, average altitude, and distance from the city. The whole city behaves balance among ecological, economic, and social functions at the macro level, with 8 out of the 13 counties belonging to ecology-society-economy balanced areas, while no county is dominant in only one of the three functions. On the micro scale, however, different counties have their own functional inclination: Miyun, Yanqing, Mentougou, and Fengtai are ecology-society dominant, and Tongzhou is ecology-economy dominant. The agricultural multifunctionality in Beijing City declines from the north to the south, with Pinggu having the most significant agricultural multifunctionality. The results match up well with the objective condition of Beijing's urban agriculture planning, which has proved the methodological rationality of the assessment to a certain extent

  13. [The impact of technological change on census taking: some thoughts on implications for the 1990 round of censuses and on the statistical use of administrative records].

    Science.gov (United States)

    Brackstone, G J

    1984-01-01

    The author presents some general thoughts on the implications of technological change for the 1990 round of censuses and for the statistical use of administrative records. Consideration is also given to alternative methods of obtaining the type of data traditionally collected in a population census, by using these new technologies in association with administrative record systems.

  14. Use of aerial photograph to enhance dog population census in Ilorin ...

    African Journals Online (AJOL)

    The ground survey method for dog population census is considered to be prone to error in enumeration. As a result, use of aerial photography has been suggested as capable of enhancing ground survey methods for more accurate results. Dog population census was carried out within llorin city in October 2010 using direct ...

  15. [The measurement of data quality in censuses of population and housing].

    Science.gov (United States)

    1980-01-01

    The determination of data quality in population and housing censuses is discussed. Principal types of errors commonly found in census data are reviewed, and the parameters used to evaluate data quality are described. Various methods for measuring data quality are outlined and possible applications of the methods are illustrated using Canadian examples

  16. Post-Chernobyl scientific perspectives: Agricultural countermeasures

    International Nuclear Information System (INIS)

    Richards, J.I.; Hance, R.J.

    1996-01-01

    One of the lessons of Chernobyl is that farming is vulnerable to the effects of a nuclear accident hundreds, even thousands, of miles away from the site. Therefore plans are needed for countermeasures that can reduce contamination of agricultural produce, regardless of whether or not a country has its own nuclear programme. The plans need to specify radiation levels for foods and feedstuffs at which intervention is necessary and to include a range of countermeasures to be taken to protect agriculture under a range of possible post-accident situations. The FAO/WHO Codes Alimentarius Commission has developed international standards for radionuclides contamination to be applied to food moving in international trade. The intervention levels are based on a number of conservative assumptions to be confident that there will be essentially no effect over a lifetime of exposure. An important purpose of agricultural countermeasures is to maximize the quantity of food produced which passes intervention criteria. The present report discusses how the Joint FAO/IAEA programme on nuclear techniques in food and agriculture has approached agricultural countermeasures

  17. Variability in abundance of temperate reef fishes estimated by visual census.

    Directory of Open Access Journals (Sweden)

    Alejo J Irigoyen

    Full Text Available Identifying sources of sampling variation and quantifying their magnitude is critical to the interpretation of ecological field data. Yet, most monitoring programs of reef fish populations based on underwater visual censuses (UVC consider only a few of the factors that may influence fish counts, such as the diver or census methodology. Recent studies, however, have drawn attention to a broader range of processes that introduce variability at different temporal scales. This study analyzes the magnitude of different sources of variation in UVCs of temperate reef fishes off Patagonia (Argentina. The variability associated with time-of-day, tidal state, and time elapsed between censuses (minutes, days, weeks and months was quantified for censuses conducted on the five most conspicuous and common species: Pinguipes brasilianus, Pseudopercis semifasciata, Sebastes oculatus, Acanthistius patachonicus and Nemadactylus bergi. Variance components corresponding to spatial heterogeneity and to the different temporal scales were estimated using nested random models. The levels of variability estimated for the different species were related to their life history attributes and behavior. Neither time-of-day nor tidal state had a significant effect on counts, except for the influence of tide on P. brasilianus. Spatial heterogeneity was the dominant source of variance in all but one species. Among the temporal scales, the intra-annual variation was the highest component for most species due to marked seasonal fluctuations in abundance, followed by the weekly and the instantaneous variation; the daily component was not significant. The variability between censuses conducted at different tidal levels and time-of-day was similar in magnitude to the instantaneous variation, reinforcing the conclusion that stochastic variation at very short time scales is non-negligible and should be taken into account in the design of monitoring programs and experiments. The present

  18. Rio Arriba County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. McKinley County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. San Miguel County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. De Baca County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. San Juan County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. New Mexico, 2010 Census Block State-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Santa Fe County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Los Alamos County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. 76 FR 14647 - Proposed Information Collection; Comment Request; 2012 Economic Census Covering the Mining Sector

    Science.gov (United States)

    2011-03-17

    ... essential information for government, business and the general public. The 2012 Economic Census covering the... Economic Census Covering the Mining Sector AGENCY: U.S. Census Bureau. ACTION: Notice. SUMMARY: The... provider of timely, relevant and quality data about the people and economy of the United States. Economic...

  7. TIGER/Line Shapefile, 2016, 2010 nation, U.S., 2010 Census Urban Area National

    Data.gov (United States)

    US Census Bureau, Department of Commerce — 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...

  8. Social Vulnerability Index (SoVI) for Delaware based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Delaware census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  9. Social Vulnerability Index (SoVI) for Alabama based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Alabama census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  10. Social Vulnerability Index (SoVI) for Washington based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Washington census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  11. Social Vulnerability Index (SoVI) for Hawaii based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Hawaii census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  12. TIGER/Line Shapefile, 2015, nation, U.S., Current Tribal Census Tract National Shapefile

    Data.gov (United States)

    US Census Bureau, Department of Commerce — 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...

  13. Social Vulnerability Index (SoVI) for Mississippi based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Mississippi census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  14. Social Vulnerability Index (SoVI) for Louisiana based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Louisiana census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  15. Social Vulnerability Index (SoVI) for Wisconsin based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Wisconsin census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  16. Social Vulnerability Index (SoVI) for Georgia based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Georgia census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  17. Social Vulnerability Index (SoVI) for Michigan based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Michigan census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  18. Social Vulnerability Index (SoVI) for Virginia based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Virginia census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  19. Social Vulnerability Index (SoVI) for Maryland based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Maryland census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  20. Social Vulnerability Index (SoVI) for Maine based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Maine census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  1. Social Vulnerability Index (SoVI) for Alaska based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Alaska census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  2. Social Vulnerability Index (SoVI) for Illinois based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Illinois census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  3. Social Vulnerability Index (SoVI) for Ohio based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Ohio census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  4. Social Vulnerability Index (SoVI) for Pennsylvania based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Pennsylvania census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  5. Social Vulnerability Index (SoVI) for Connecticut based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Connecticut census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  6. Social Vulnerability Index (SoVI) for Massachusetts based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Massachusetts census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  7. Social Vulnerability Index (SoVI) for Texas based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Texas census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  8. Social Vulnerability Index (SoVI) for Indiana based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Indiana census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  9. TIGER/Line Shapefile, 2017, 2010 nation, U.S., 2010 Census Urban Area National

    Data.gov (United States)

    US Census Bureau, Department of Commerce — 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...

  10. TIGER/Line Shapefile, 2015, 2010 nation, U.S., 2010 Census Urban Area National

    Data.gov (United States)

    US Census Bureau, Department of Commerce — 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...

  11. Social Vulnerability Index (SoVI) for Oregon based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Oregon census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  12. Census Bureau Reports at Least 350 Languages Spoken in U.S. Homes

    Science.gov (United States)

    Employment and Payroll Survey of Business Owners Work from Home Our statistics highlight trends in household statistics from multiple surveys. Data Tools & Apps Main American FactFinder Census Business Builder My Classification Codes (i.e., NAICS) Economic Census Economic Indicators Economic Studies Industry Statistics

  13. Using WICID (Web-based Interface to Census Interaction Data in the Classroom

    Directory of Open Access Journals (Sweden)

    John Stillwell

    2006-12-01

    Full Text Available The Census of Population is one of the key sources of data for social science research in the UK. Many census results appear in published reports, but most data are available directly from the Office of National Statistics or from web sites offering extraction services for registered users. Many Geography students use information from the census to undertake projects and to complete dissertations, frequently when studying small geographical areas. It is important that students learn the skills for downloading census data and understand what shortcomings are associated with the data as well as knowing how to incorporate the data into GIS and to analyse it effectively. This paper focuses on how students at the University of Leeds are taught to use one particular product of the census, the Origin-Destination Statistics, that are available from a web-based interface known as WICID. The paper briefly outlines the context and characteristics of the data before explaining the rudiments of building queries and extracting data. A typical class assignment is presented to demonstrate how a student learns how to build queries using WICID before analysing the results or mapping the data using an independent GIS. Experience indicates that students need to think hard about their requirements before using WICID for project work.

  14. TIGER/Line Shapefile, 2010, 2010 state, New York, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. TIGER/Line Shapefile, 2010, 2010 state, South Dakota, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. TIGER/Line Shapefile, 2010, 2010 state, West Virginia, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. TIGER/Line Shapefile, 2010, 2010 state, Rhode Island, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. TIGER/Line Shapefile, 2010, 2010 state, North Carolina, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. TIGER/Line Shapefile, 2010, 2010 state, North Dakota, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. TIGER/Line Shapefile, 2010, 2010 state, New Hampshire, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. TIGER/Line Shapefile, 2010, 2010 state, South Carolina, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. TIGER/Line Shapefile, 2010, 2010 state, New Jersey, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. American Indian Areas Located in Region 2 (CENSUS.AM_INDIAN_AREAS_R2)

    Data.gov (United States)

    U.S. Environmental Protection Agency — There are both legal and statistical American Indian, Alaska Native, and native Hawaiian entities for which the U.S. Census Bureau provides data for Census 2000. The...

  4. VT 1990 Census County Boundaries and Statistics

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) DemoCensus_CNTY1990 is derived from BoundaryCounty_CNTY250. BoundaryCounty_CNTY250 was derived from BoundaryTown_TB250 (TB250 was archived 6/2003...

  5. Visual Census of the Reef Fishes in the Natural Reserve of the ...

    African Journals Online (AJOL)

    Keywords: visual census, reef fishes, natural reserve, Glorieuses Islands, western Indian Ocean This paper constitutes the first qualitative study of coral reef fish populations in the archipelago of the Glorieuses Islands (northern Mozambique Channel). Sampling by visual census techniques, at depths between 0 and 15 ...

  6. Interoperable and accessible census and survey data from IPUMS.

    Science.gov (United States)

    Kugler, Tracy A; Fitch, Catherine A

    2018-02-27

    The first version of the Integrated Public Use Microdata Series (IPUMS) was released to users in 1993, and since that time IPUMS has come to stand for interoperable and accessible census and survey data. Initially created to harmonize U.S. census microdata over time, IPUMS now includes microdata from the U.S. and international censuses and from surveys on health, employment, and other topics. IPUMS also provides geo-spatial data, aggregate population data, and environmental data. IPUMS supports ten data products, each disseminating an integrated data collection with a set of tools that make complex data easy to find, access, and use. Key features are record-level integration to create interoperable datasets, user-friendly interfaces, and comprehensive metadata and documentation. The IPUMS philosophy aligns closely with the FAIR principles of findability, accessibility, interoperability, and re-usability. IPUMS data have catalyzed knowledge generation across a wide range of social science and other disciplines, as evidenced by the large volume of publications and other products created by the vast IPUMS user community.

  7. Population: Census Bureau Total Estimates (2010-2012)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Total population estimates are estimates of the total number of residents living in an area on July 1 of each year. The Census Bureau’s Population Division produces...

  8. Santa Fe County 1990 Census Subcounty Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This dataset is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3

  9. Programme of the Commission for 1978. [Booklet

    Energy Technology Data Exchange (ETDEWEB)

    1978-01-01

    Mr. Jenkins, President of the Commission, first examines the problem of the economy and the level of its unemployment in the Community, resulting in a lack of growth. He than presents the two-fold aim of the Commission--to instigate emergency action to sustain industries that are no longer fully competitive and to promote economic growth to provide employment and prosperity. He then examins the energy and agriculture sectors. Two obligations cited for the Community are: (1) to defend Community interests in the energy field in relation to Third World Countries, and (2) to make clear the connections between energy policy and the general economic strategy. Negotiations are underway for enlargement of the community with applications being considered for Greece, Portugal, and Spain. A memorandum annexed to the address contains additional material on building an integrated economic unit, the European citizen and his environment, Europe in the world, and enlargement of the community. (MCW)

  10. Translating landscape: the Colombian Chorographic Commission

    Directory of Open Access Journals (Sweden)

    Veronica Uribe Hanabergh

    2014-01-01

    Full Text Available In 1850 the Colombian government developed a project to survey the young country´s landscape. Scientists, writers, and artists were invited to make part of the project led by the Italian military, geographer and cartographer, Agustin Codazzi. After nine years and three different artists, the Commission had many watercolor drawings that portrayed a landscape, not only in its physical traits, but also in its social, economic and agricultural development. Through the lens of these artists, the drawings that concluded the survey showed a landscape that was truly original but that was also seen through the lens of a certain romantic eye inherited by a firm European legacy. As a result, these watercolors show the different regions, people, and means of transportation, crops and trades. The Colombian Chorographic Commission was an important project in the construction of the Colombian modern nation, a country that was constantly divided by federalist and centralist politics, liberal and conservative parties. An interesting union between science, politics and art, these drawings represent the process of the modernization of nineteenth-century Colombia.

  11. Living alone in South and Southeast Asia: An analysis of census data

    Directory of Open Access Journals (Sweden)

    Chai Podhisita

    2015-06-01

    Full Text Available Background: Living alone (in a one-person household has reached very high levels in some parts of the world. Across Asia the phenomenon is common in parts of East Asia, but has rarely been examined in South or Southeast Asia. Objective: The authors seek to establish from the evidence of censuses the main contours of living alone in South and Southeast Asia, and in doing so address issues of definition and measurement, particularly issues arising due to differences in the census handling of the 'group quarters' type of household. Methods: The paper examines 10 national censuses in the IPUMS archive of census micro-files. The data are explored for age profiles of living alone by sex, classified by urban versus rural residence and marital status. Results: The censuses reveal a combination of underlying commonalities among the countries and dates as well as distinct national features. There are distinct age profiles for males and females, and profiles typical of urban and rural sectors across countries. Living alone in group quarters is most common among young adults. Tabulation by marital status shows considerable variation among single young adults and elderly widowed or divorced/separated persons. It is also found that the proportions of the population not living with core family who are living alone vary widely by age and sex and across countries and years. Conclusions: Studies of living alone with national censuses must take note of whether conventional households and group quarters are included and how these are defined. Group quarters residence makes up a significant proportion of living alone among the young.

  12. Using Remotely Sensed Data to Automate and Improve Census Bureau Update Activities

    Science.gov (United States)

    Desch, A., IV

    2017-12-01

    Location of established and new housing structures is fundamental in the Census Bureau's planning and execution of each decennial census. Past Census address list compilation and update programs have involved sending more than 100,000 workers into the field to find and verify housing units. The 2020 Census program has introduced an imagery based In-Office Address Canvassing Interactive Review (IOAC-IR) program in an attempt to reduce the in-field workload. The human analyst driven, aerial image based IOAC-IR operation has proven to be a cost effective and accurate substitute for a large portion of the expensive in-field address canvassing operations. However, the IOAC-IR still required more than a year to complete and over 100 full-time dedicated employees. Much of the basic image analysis work done in IOAC-IR can be handled with established remote sensing and computer vision techniques. The experience gained from the Interactive Review phase of In-Office Address Canvassing has led to the development of a prototype geo-processing tool to automate much of this process for future and ongoing Address Canvassing operations. This prototype utilizes high-resolution aerial imagery and LiDAR to identify structures and compare their location to existing Census geographic information. In this presentation, we report on the comparison of this exploratory system's results to the human based IOAC-IR. The experimental image and LiDAR based change detection approach has itself led to very promising follow-on experiments utilizing very current, high repeat datasets and scalable cloud computing. We will discuss how these new techniques can be used to both aid the US Census Bureau meet its goals of identify all the housing units in the US as well as aid developing countries better identify where there population is currently distributed.

  13. The mission of the central commission of the Czechoslovak Academy of Agriculture for use of energy resources and nuclear methods in agriculture

    International Nuclear Information System (INIS)

    Horacek, P.

    1979-01-01

    The possibility is discussed of using waste heat of nuclear power plants for the intensification of agricultural production. In France, protected agricultural areas are heated with warm water circulating in a polyethylene perforated blanket. Experiments with subirrigation using warm water or with heating using water circulating in subsurface piping yield good results. Heating water for fish husbandry appears prospective and a research project in this field is suggested. (H.S.)

  14. Women in agriculture: risks for occupational injury within the context of gendered role.

    Science.gov (United States)

    McCoy, C A; Carruth, A K; Reed, D B

    2002-02-01

    Women continue to make significant contributions to farming. Not only do women participate in the traditional roles of homemaker, caregiver, and wife, they also work side-by-side with their spouses in keeping the farm viable. More daughters are entering the farming business, either as partners with other family members or as independent operators. Each year since the United States Department of Agriculture began including gender in the Census of Agriculture, the percentage of women engaged in agriculture has increased, and women's participation in agriculture is increasing faster than in other business segments. This article examines the role of women in agriculture and how sociocultural, economic, and physical factors may affect women's exposure to injury-producing events and their knowledge and beliefs about injury prevention. To date, few studies have examined work-related unintentional injuries among farm women. Even less is known about the extent to which occupational risks are recognized when women seek medical care. Differences in size and stature, increased physical strain, and low maximal oxygen uptake may predispose women to ergonomic-related injuries. Limitations of current research and recommendations for future analyses are discussed.

  15. TIGER/Line Shapefile, 2016, Series Information for the Current Census Tract State-based Shapefile

    Data.gov (United States)

    US Census Bureau, Department of Commerce — 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...

  16. CENSUS OF THE POPULATION, BUILDINGS AND HOUSING IN SWITZERLAND

    CERN Multimedia

    Relation with the Host States Service; Tel. 72848

    2000-01-01

    A census of the population, buildings and housing is to be conducted on the whole territory of the Swiss Confederation on 5 December 2000. For this purpose, those residing in Switzerland will receive a personal questionnaire at their place of residence plus a questionnaire on buildings and housing if they own real estate in Switzerland. The Swiss Permanent Mission to the International Organizations in Geneva has requested CERN to invite members of its personnel to complete these questionnaires and either to hand them to the census agents when they call at their places of residence on 5 December 2000 or to post them to the address indicated on the questionnaire.

  17. 75 FR 81965 - Proposed Information Collection; Comment Request; Census Barriers, Attitudes, and Motivators...

    Science.gov (United States)

    2010-12-29

    ... communications activities for the 2010 Census, combining advertising, partnerships, public relations, Census in..., invites the general public and other Federal agencies to take this opportunity to comment on proposed and/or continuing information collections, as required by the Paperwork Reduction Act of 1995, Public Law...

  18. VT 2010 Census Block Group Boundaries and Statistics

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) BLCKGR2010 contains a subset of attributes from Summary File 1 of the 2010 Decennial Census. The TIGER/Line Files are shapefiles and related...

  19. TIGER/Line Shapefile, 2010, 2010 state, District of Columbia, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Social Vulnerability Index (SoVI) for Coastal States based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of coastal states census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  1. Social Vulnerability Index (SoVI) for Rhode Island based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Rhode Island census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  2. Social Vulnerability Index (SoVI) for New Hampshire based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of New Hampshire census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  3. Social Vulnerability Index (SoVI) for New Jersey based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of New Jersey census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  4. Social Vulnerability Index (SoVI) for New York based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of New York census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  5. Social Vulnerability Index (SoVI) for South Carolina based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of South Carolina census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  6. Racial measurement and statistical field in Brazilian census (1872-1940: a convergent approach

    Directory of Open Access Journals (Sweden)

    Alexandre de Paiva Rio Camargo

    2009-12-01

    Full Text Available This paper investigates the meanings given by the racial classification in several Brazilian census. It proposes a convergent analysis of the social-political conventions established for the research (1872, 1890, 1940 or omission (1920 of the racial item of the surveys in different historical moments and the emergency of the technical community of statisticians in the midst of changing in paradigm census. As a method, it assumes a circularity between the social system of racial classification, the interpretations chapters on national identity hired to introduce the census – “O povo brasileiro e sua evolução” by Oliveira Vianna (1920, and “A cultura brasileira” by Fernando de Azevedo (1940 – and the role played by the technical requirements in the taken positions of the statisticians. The article analyzes the reports written by the census committees and organizers at the verbal level, in order to compare the arguments presented to the informations and crossings obtained in the matrix level. It takes the 1940 census as a turning point in the statistical activity because it reveals the structural conflict between the policy function primarily reserved for statistics and the consecration of the technical competence. Accordingly, this paper addresses the gradual release of statistical ideology from the political propaganda on the color.

  7. Challenges to the census: international trends and a need to consider public health benefits.

    Science.gov (United States)

    Wilson, R T; Hasanali, S H; Sheikh, M; Cramer, S; Weinberg, G; Firth, A; Weiss, S H; Soskolne, C L

    2017-10-01

    The Canadian government decision to cancel the mandatory long-form census in 2010 (subsequently restored in 2015), along with similar discussions in the United Kingdom (UK) and the United States of America (USA), have brought the purpose and use of census data into focus for epidemiologists and public health professionals. Policy decision-makers should be well-versed in the public health importance of accurate and reliable census data for emergency preparedness planning, controlling disease outbreaks, and for addressing health concerns among vulnerable populations including the elderly, low-income, racial/ethnic minorities, and special residential groups (e.g., nursing homes). Valid census information is critical to ensure that policy makers and public health practitioners have the evidence needed to: (1) establish incidence rates, mortality rates, and prevalence for the full characterization of emerging health issues; (2) address disparities in health care, prevention strategies and health outcomes among vulnerable populations; and (3) plan and effectively respond in times of disaster and emergency. At a time when budget and sample size cuts have been implemented in the UK, a voluntary census is being debated in the US. In Canada, elimination of the mandatory long-form census in 2011 resulted in unreliable population enumeration, as well as a substantial waste of money and resources for taxpayers, businesses and communities. The purpose of this article is to provide a brief overview of recent international trends and to review the foundational role of the census in public health management and planning using historical and current examples of environmental contamination, cancer clusters and emerging infections. Citing a general absence of public health applications of the census in cost-benefit analyses, we call on policy makers to consider its application to emergency preparedness, outbreak response, and chronic disease prevention efforts. At the same time, we

  8. Competing probabilistic models for catch-effort relationships in wildlife censuses

    Energy Technology Data Exchange (ETDEWEB)

    Skalski, J.R.; Robson, D.S.; Matsuzaki, C.L.

    1983-01-01

    Two probabilistic models are presented for describing the chance that an animal is captured during a wildlife census, as a function of trapping effort. The models in turn are used to propose relationships between sampling intensity and catch-per-unit-effort (C.P.U.E.) that were field tested on small mammal populations. Capture data suggests a model of diminshing C.P.U.E. with increasing levels of trapping intensity. The catch-effort model is used to illustrate optimization procedures in the design of mark-recapture experiments for censusing wild populations. 14 references, 2 tables.

  9. ASSESSMENT OF EFFICIENCY OF APPLICATION OF TOOLS OF CARRYING OUT THE ALL-RUSSIAN POPULATION CENSUS OF 2020

    Directory of Open Access Journals (Sweden)

    Oleg V. Manzhula

    2014-01-01

    Full Text Available At a stage of preparation for the All-Russian population census of 2020 it is necessary to develop methodical and technological support of processes of carrying out census for increase of reliability of data collection and quality of information processing of population census of the Russian Federation with use of modern information and communication technologies, and also a technique of an assessment of efficiency of application of tools of carrying out census

  10. 77 FR 18790 - Proposed Information Collection; Comment Request; Generic Clearance for the 2020 Census Field Tests

    Science.gov (United States)

    2012-03-28

    ... should be directed to Erin Love, Census Bureau, HQ-3H468E, Washington, DC 20233; (301) 763-2034 (or via the Internet at erin.s.love@census.gov ). SUPPLEMENTARY INFORMATION: I. Abstract The U.S. Census... telephone interviews. III. Data OMB Control Number: None. Form Number: Not yet determined. Type of Review...

  11. Federal census of the population in Switzerland

    CERN Multimedia

    DG Unit

    2011-01-01

    A federal census of the 2010 population has been underway since January 2011. The objective is to provide important insights into the composition of the resident population, households and families in Switzerland and identify trends. The census methods have been modernised so that it covers only information that is not already contained in Federal, Cantonal and municipal registries of persons; the information will be gathered via questionnaires issued to approximately 3% of the population residing in Switzerland. In order to obtain representative information about the local population, the Canton of Geneva has requested that questionnaires be issued to international civil servants and members of their families aged 15 and over who live in the Canton. They will be invited to respond to the questionnaire on a strictly voluntary basis. If they choose not to respond to the questionnaire, they will not be contacted again. The Permanent Swiss Mission to the International Organizations in Geneva wishes in advance t...

  12. New Mexico, 2010 Census, Primary and Secondary Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. New Mexico, 2010 Census Unified School District Shapefile

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Guadalupe County 2010 Census County Subdivision County-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Bernalillo County 2010 Census County Subdivision County-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. New Mexico, 2010 Census County Subdivision State-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. New Mexico, 2010 Census Block Group State-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Eddy County 2010 Census County Subdivision County-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Biotechnology and Nuclear Agriculture Research Institute (BNARI) at a glance

    International Nuclear Information System (INIS)

    2007-01-01

    Biotechnology and Nuclear Agriculture Research Institute (BNARI) was established in 1993 as one of the research, development and technology transfer institutes of the Ghana Atomic Energy Commission (GAEC). This was to help the GAEC to expand its research and development in the area of biotechnology and nuclear agriculture, which have been found to have a major impact on the agricultural development in countries involved in peaceful application of nuclear energy. The main objective of the Institute is to explore and exploit the application of isotopes, ionizing radiation and biotechnologies for increased agricultural and economic development of Ghana and to help the Country attain self-sufficiency in food and agriculture in order to alleviate malnutrition, hunger and poverty. This brochure describes the organizational structure; research facilities and programmes; services of the various departments of the Institute as well as achievements

  20. 15 CFR 50.40 - Fee structure for statistics for city blocks in the 1980 Census of Population and Housing.

    Science.gov (United States)

    2010-01-01

    ... blocks in the 1980 Census of Population and Housing. 50.40 Section 50.40 Commerce and Foreign Trade... the 1980 Census of Population and Housing. (a) As part of the regular program of the 1980 census, the Census Bureau will publish printed reports containing certain summary population and housing statistics...

  1. Towards validation of the Internet Census 2012

    NARCIS (Netherlands)

    Maan, Dirk; Cardoso de Santanna, José Jair; Sperotto, Anna; de Boer, Pieter-Tjerk; Kermarrec, Yvon

    2014-01-01

    The reliability of the ``Internet Census 2012'' (IC), an anonymously published scan of the entire IPv4 address space, is not a priori clear. As a step towards validation of this dataset, we compare it to logged reference data on a /16 network, and present an approach to systematically handle

  2. SPATIAL ANALYSIS OF AGRICULTURAL PRODUCTIVITY IN THE STATE OF PARANA – BRAZIL (1970, 1996 AND 2007

    Directory of Open Access Journals (Sweden)

    Lucir Reinaldo Alves

    2013-10-01

    Full Text Available Abstract: This paper analyzes the spatial displacement of the productivity of Gross Value of Agricultural Production of the main activities and cultures of Parana’s State in 1970, 1996 and 2007. To this, we used a database of pre-existing on the Gross Value of Agricultural Production - the VBPA contained in the Agricultural Censuses (IBGE, Brazilian Institute of Geography and Statistics and the SEAB (Secretary of Agriculture and Supply of Paraná. The results showed that the VBPA of Paraná State has a spatial displacement during the period, where it was concentrated in 1970 in the northern portion of the state, influenced mainly by coffee plantations. In 2007, the most visible concentration hovered over the West and Southwest regions, and motion to expand the activities poultry and swine in those regions as well as crop production technicality as soybeans and corn. The findings of this study confirm the dynamism of the regions, as well as the impact of modernization on the field, and also highlights the role that agricultural activities have on the economy of the state of Parana.

  3. 78 FR 13313 - Codex Alimentarius Commission: Meeting of the Codex Committee on Contaminants in Foods

    Science.gov (United States)

    2013-02-27

    ... Practice for Weed Control to Prevent and Reduce Pyrrolizidine Alkaloid Contamination in Food and Feed... DEPARTMENT OF AGRICULTURE Food Safety and Inspection Service [Docket No. FSIS-2013-0011] Codex Alimentarius Commission: Meeting of the Codex Committee on Contaminants in Foods AGENCY: Office of the Under...

  4. SACRA - global data sets of satellite-derived crop calendars for agricultural simulations: an estimation of a high-resolution crop calendar using satellite-sensed NDVI

    Science.gov (United States)

    Kotsuki, S.; Tanaka, K.

    2015-01-01

    To date, many studies have performed numerical estimations of food production and agricultural water demand to understand the present and future supply-demand relationship. A crop calendar (CC) is an essential input datum to estimate food production and agricultural water demand accurately with the numerical estimations. CC defines the date or month when farmers plant and harvest in cropland. This study aims to develop a new global data set of a satellite-derived crop calendar for agricultural simulations (SACRA) and reveal advantages and disadvantages of the satellite-derived CC compared to other global products. We estimate global CC at a spatial resolution of 5 min (≈10 km) using the satellite-sensed NDVI data, which corresponds well to vegetation growth and death on the land surface. We first demonstrate that SACRA shows similar spatial pattern in planting date compared to a census-based product. Moreover, SACRA reflects a variety of CC in the same administrative unit, since it uses high-resolution satellite data. However, a disadvantage is that the mixture of several crops in a grid is not considered in SACRA. We also address that the cultivation period of SACRA clearly corresponds to the time series of NDVI. Therefore, accuracy of SACRA depends on the accuracy of NDVI used for the CC estimation. Although SACRA shows different CC from a census-based product in some regions, multiple usages of the two products are useful to take into consideration the uncertainty of the CC. An advantage of SACRA compared to the census-based products is that SACRA provides not only planting/harvesting dates but also a peak date from the time series of NDVI data.

  5. Urbanization, Agricultural Intensification, and Habitat Alteration in Vietnam: Modeling Transitional Development and Emerging Infectious Diseases

    Science.gov (United States)

    Fox, J.; Saksena, S.; Spencer, J.; Finucane, M.; Sultana, N.

    2012-12-01

    Our overarching hypothesis is that new risks, in this case the H5N1 strain of avian influenza, emerge during transitions between stages of development. Moreover, these risks are not coincidental but occur precisely because of the in-between nature of the coupled human-natural system at the point when things are neither traditional nor modern but resemble the state of chaos, release and reorganization. We are testing this hypothesis in Vietnam using demographic, social, economic, and environmental data collected in national censuses and analyzed at commune and district levels to identify communes and districts that are traditional, modern, and transitional (peri-urban). Using data from the 2006 agricultural census that capture both the changing nature of the built environment (types of sanitation systems) and the loss of and diversification of agriculture systems (percent of households whose major source of income is from agriculture, and percent of land under agriculture, forests, and aquaculture), and a normalized difference vegetation index from 2006 Landsat images we created a national scale urbanicity map for Vietnam. Field work in the summer of 2011 showed this map to be an accurate (approximately 85%) approximation of traditional (rural), transitional (periurban), and modern (urban) communes. Preliminary results suggest that over 7% of the country's land area and roughly 15% of its population resides in periurban neighborhoods, and that these areas do have a statistically significant greater incidence of AVI as measured in chicken deaths than traditional and modern communes (Table 1). Transitional neighborhoods such as these force planners to ask two questions. To what extent does the dichotomy of urban/rural makes sense in the context of Vietnam, when large areas and parts of the population are caught between the two? Second, how can planners and policy makers effectively provide for basic public goods and services in these contexts?Classification of places

  6. Educational Planning: The Census Bureau Can Help.

    Science.gov (United States)

    Whitson, Dorothy W.

    The author states that projection of future populations is not feasible because the chief factor in the computations, the birth rate, cannot be predicted with certainty. The paper discusses some national implications, and also suggests that census data by school district can be useful in improving formulas for distribution of federal and State…

  7. Smoking prevalence among doctors and nurses-2013 New Zealand census data.

    Science.gov (United States)

    Edwards, Richard; Tu, Danny; Stanley, James; Martin, Greg; Gifford, Heather; Newcombe, Rhiannon

    2018-03-09

    To examine recent smoking trends among doctors and nurses in New Zealand. Analysis of smoking prevalence in the 2013 New Zealand Census and comparison with previous census data. The 2013 census included 7,065 male and 5,619 female doctors, and 2,988 male and 36,138 female nurses. Non-response to smoking questions was less than 3%. In 2013, 2% of male and female doctors and 9% of male and 8% of female nurses were regular cigarette smokers. This compared with 4% male and 3% female doctors, and 20% male and 13% female nurses in 2006. Psychiatric nurses had the highest smoking prevalence (15% male, 18% female). More Māori doctors (6.8%) and nurses (19.3%) smoked. Around 96% of young (New Zealand doctors had achieved the Smokefree 2025 goal of minimal (workplace smoking cessation support may be an efficient means to reduce smoking among key occupational groups, and may help reduce population smoking prevalence.

  8. TIGER/Line Shapefile, 2014, Series Information File for the 2010 Census Block State-based Shapefile

    Data.gov (United States)

    US Census Bureau, Department of Commerce — Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries...

  9. TIGER/Line Shapefile, 2013, Series Information File for the Current Census Tract State-based Shapefile

    Data.gov (United States)

    US Census Bureau, Department of Commerce — 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...

  10. Point Climat no. 22 'Reform of the Common Agricultural Policy is laying the initial foundations for a European agricultural climate policy'

    International Nuclear Information System (INIS)

    Foucherot, Claudine; Bellassen, Valentin

    2012-01-01

    Among the publications of CDC Climat Research, 'Climate Briefs' presents, in a few pages, hot topics in climate change policy. This issue addresses the following points: The Common Agricultural Policy (CAP) has had a very small climate component since 1992. The recent inclusion of green payments and the climate risk management tools proposed for the CAP for the period beyond 2013 illustrate the European Commission's willingness to expand this climate component. Furthermore, there is little mention of the agricultural sector in the tools rolled out by the European climate policy, particularly those derived from the 2009 'Climate and Energy' Package. Therefore, even if this autumn's parliamentary debate results in the reform proposals being diluted, the post-2013 CAP could nevertheless become a principal tool for a common EU climate policy in the agricultural sector

  11. The use of census migration data to approximate human movement patterns across temporal scales.

    Science.gov (United States)

    Wesolowski, Amy; Buckee, Caroline O; Pindolia, Deepa K; Eagle, Nathan; Smith, David L; Garcia, Andres J; Tatem, Andrew J

    2013-01-01

    Human movement plays a key role in economies and development, the delivery of services, and the spread of infectious diseases. However, it remains poorly quantified partly because reliable data are often lacking, particularly for low-income countries. The most widely available are migration data from human population censuses, which provide valuable information on relatively long timescale relocations across countries, but do not capture the shorter-scale patterns, trips less than a year, that make up the bulk of human movement. Census-derived migration data may provide valuable proxies for shorter-term movements however, as substantial migration between regions can be indicative of well connected places exhibiting high levels of movement at finer time scales, but this has never been examined in detail. Here, an extensive mobile phone usage data set for Kenya was processed to extract movements between counties in 2009 on weekly, monthly, and annual time scales and compared to data on change in residence from the national census conducted during the same time period. We find that the relative ordering across Kenyan counties for incoming, outgoing and between-county movements shows strong correlations. Moreover, the distributions of trip durations from both sources of data are similar, and a spatial interaction model fit to the data reveals the relationships of different parameters over a range of movement time scales. Significant relationships between census migration data and fine temporal scale movement patterns exist, and results suggest that census data can be used to approximate certain features of movement patterns across multiple temporal scales, extending the utility of census-derived migration data.

  12. Status of Nuclear Activities of Bangladesh Atomic Energy Commission

    Energy Technology Data Exchange (ETDEWEB)

    Begum, Zakia [Planning and Development, Bangladesh Atomic Energy Commission - BAEC, Paramanu Bhaban, E 12/A, Agargoan, 01207 Shere Banglanagar, Dhaka (Bangladesh)

    2008-07-01

    Bangladesh Atomic Energy Commission (BAEC) is the national authority for acquisition, development and application of Nuclear Science and Technology and thus is playing the pioneering role for the development of the country's nuclear research programmes and thus helping to achieve the cherished goal of self-reliance through national efforts and international co-operation. Being firmly committed to the peaceful uses of Atomic Energy, programmes have been undertaken in Physical Sciences, Biological Sciences, Engineering and Nuclear Power Sector by Bangladesh Atomic Energy Commission and some of the results have been transferred from laboratories to hospitals, agriculture, industries and environment for practical applications. In spite of some major constrains, presently BAEC's activities have increased many folds and keeping in view of the overall power crisis of the country efforts have also been given to establish Nuclear Power Plant in the country. (author)

  13. TIGER/Line Shapefile, 2011, 2010 nation, U.S., 2010 Census Traffic Analysis District (TAD) National

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Eliciting and Defining Requirements Based on Metaevaluation: the Case of the CRAS 2008 Census

    Directory of Open Access Journals (Sweden)

    Edilson Ferneda

    2014-10-01

    Full Text Available The Brazilian Ministry of Social Development and Fight against Hunger (MDS regularly promotes the evaluation of its social programs, such as those developed in the Reference Centers for Social Assistance (CRAS. Such evaluations make use of a web system that supports the collection and processing of information as well as the dissemination of its results to local, regional and central government officials through the so-called CRAS Census. A meta-evaluation of the CRAS 2008 Census was carried out based on criteria specified by the Joint Committee (1994, from which we elicited requirements that enabled improvements of the web system. The article reports new requirements elicited from the meta-evaluation of the CRAS 2008 Census, held in the period 2009-2010. The approach of meta-evaluation as an alternative source of requirements elicitation took into consideration results from evaluations of social programs in order to identify system problems without the usual need of intense interaction with users. This approach revealed opportunities for improvements in the evaluation process that led to the elicitation of requirements for the computerized system. Some of the elicited features were incorporated into the Census 2010 and others may be incorporated in future censuses.

  15. 2016 National Census of Ferry Operators (Revised 03/18)

    Data.gov (United States)

    Department of Transportation — The 2016 NCFO dataset is comprised of the responses of all operators who completed the 2016 Census, reporting 2015 calendar year ferry operations. The NCFO Flat File...

  16. TIGER/Line Shapefile, 2010, 2010 Census Block State-based

    Data.gov (United States)

    U.S. Environmental Protection Agency — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Public census data on CD-ROM at Lawrence Berkeley Laboratory

    Energy Technology Data Exchange (ETDEWEB)

    Merrill, D.W.

    1992-07-02

    In connection with the Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socioeconomic and geographic data files which are available to CEDR and PAREP collaborators via LBL's computing network. At this time 67 CD-ROM diskettes (approximately 35 gigabytes) are on line via the Unix file server cedrcd.lbl.gov. Most of the files are from the US Bureau of the Census, and most pertain to the 1990 Census of Population and Housing. This paper contains a list of the CD-ROMs available.

  18. A CDT-Based Heuristic Zone Design Approach for Economic Census Investigators

    Directory of Open Access Journals (Sweden)

    Changixu Cheng

    2015-01-01

    Full Text Available This paper addresses a special zone design problem for economic census investigators that is motivated by a real-world application. This paper presented a heuristic multikernel growth approach via Constrained Delaunay Triangulation (CDT. This approach not only solved the barriers problem but also dealt with the polygon data in zoning procedure. In addition, it uses a new heuristic method to speed up the zoning process greatly on the premise of the required quality of zoning. At last, two special instances for economic census were performed, highlighting the performance of this approach.

  19. Impacts on the Common Agricultural Policy and on rural development

    International Nuclear Information System (INIS)

    Grassi, G.; Palz, W.

    1992-01-01

    In the 1980s the Common Agricultural Policy (CAP) resulted in large surpluses of main agricultural products; dealing with these surpluses consumed large parts of the Commission's and Member States' budgets. To alleviate this problem, a proposal for alternative land use is presented here: large-scale exploitation of biomass for industrial and energy uses, at the level of 600 to 800 million tonnes of oil equivalent a year. The important benefits to arise from this activity will include: job creation in rural districts, solutions to environmental problems, and technologies applicable in developing countries. (author)

  20. The use of census migration data to approximate human movement patterns across temporal scales.

    Directory of Open Access Journals (Sweden)

    Amy Wesolowski

    Full Text Available Human movement plays a key role in economies and development, the delivery of services, and the spread of infectious diseases. However, it remains poorly quantified partly because reliable data are often lacking, particularly for low-income countries. The most widely available are migration data from human population censuses, which provide valuable information on relatively long timescale relocations across countries, but do not capture the shorter-scale patterns, trips less than a year, that make up the bulk of human movement. Census-derived migration data may provide valuable proxies for shorter-term movements however, as substantial migration between regions can be indicative of well connected places exhibiting high levels of movement at finer time scales, but this has never been examined in detail. Here, an extensive mobile phone usage data set for Kenya was processed to extract movements between counties in 2009 on weekly, monthly, and annual time scales and compared to data on change in residence from the national census conducted during the same time period. We find that the relative ordering across Kenyan counties for incoming, outgoing and between-county movements shows strong correlations. Moreover, the distributions of trip durations from both sources of data are similar, and a spatial interaction model fit to the data reveals the relationships of different parameters over a range of movement time scales. Significant relationships between census migration data and fine temporal scale movement patterns exist, and results suggest that census data can be used to approximate certain features of movement patterns across multiple temporal scales, extending the utility of census-derived migration data.

  1. [The Italian deprivation index at census block level: definition, description and association with general mortality].

    Science.gov (United States)

    Caranci, Nicola; Biggeri, Annibale; Grisotto, Laura; Pacelli, Barbara; Spadea, Teresa; Costa, Giuseppe

    2010-01-01

    the study is aimed at developing a nationwide deprivation index at municipality and census block level, based on the 2001 Census data, and meeting epidemiological needs. The study uses data drawn from the 2001 General Census of Population and Housing. From the 280 variables defined at census block level (352,605 census tracts with average number of inhabitants 169, standard deviation 225; and average area 0.6 km², sd 2.4 km²) five traits that operationally combine to represent the multidimensionality of the social and material deprivation concept have been selected; these are: low level of education, unemployment, non-home ownership, one parent family and overcrowding. The index is calculated by summing standardized indicators and it is also available as categorical by quintiles of population. The same procedure is applied to aggregate frequency data at municipality level. The correlation between mortality and deprivation has been evaluated using 2000-2004 general mortality. considering national data, a strong north-south gradient in deprivation was observed. The municipality deprivation index 2001 is highly correlated to the index likewise calculated on the basis of the previous 1991 Census (r=0.91). General mortality was positively correlated to the index (in particular in population up to 64 years and in larger size municipalities). the pattern described by the deprivation index was coherent with what is already known about geographic distribution of poverty and its impact on mortality. Such outcome bears out the index use for epidemiological purposes.

  2. Biotechnology and Nuclear Agricultural Research Institute (BNARI) - Annual Report January-December 2015

    International Nuclear Information System (INIS)

    2015-01-01

    The Biotechnology and Nuclear Agriculture Research Institute (BNARI) of the Ghana Atomic Energy Commission (GAEC) exists carry out research and development activities on safe applications of biotechnology and nuclear science and transfer these technologies to end-users for increased agricultural production, health, industrial and economic development for poverty alleviation in Ghana. The 2015 Annual Report covers the organisational structure; various research activities and abstracts of publications. Also listed are training courses and seminars organised during the reporting year.

  3. [Location information acquisition and sharing application design in national census of Chinese medicine resources].

    Science.gov (United States)

    Zhang, Xiao-Bo; Li, Meng; Wang, Hui; Guo, Lan-Ping; Huang, Lu-Qi

    2017-11-01

    In literature, there are many information on the distribution of Chinese herbal medicine. Limited by the technical methods, the origin of Chinese herbal medicine or distribution of information in ancient literature were described roughly. It is one of the main objectives of the national census of Chinese medicine resources, which is the background information of the types and distribution of Chinese medicine resources in the region. According to the national Chinese medicine resource census technical specifications and pilot work experience, census team with "3S" technology, computer network technology, digital camera technology and other modern technology methods, can effectively collect the location information of traditional Chinese medicine resources. Detailed and specific location information, such as regional differences in resource endowment and similarity, biological characteristics and spatial distribution, the Chinese medicine resource census data access to the accuracy and objectivity evaluation work, provide technical support and data support. With the support of spatial information technology, based on location information, statistical summary and sharing of multi-source census data can be realized. The integration of traditional Chinese medicine resources and related basic data can be a spatial integration, aggregation and management of massive data, which can help for the scientific rules data mining of traditional Chinese medicine resources from the overall level and fully reveal its scientific connotation. Copyright© by the Chinese Pharmaceutical Association.

  4. Catron County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Union County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Torrance County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Mora County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Roosevelt County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Hidalgo County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Lea County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Chaves County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Sierra County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Valencia County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Luna County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Socorro County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Colfax County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Bernalillo County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Taos County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Cibola County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Guadalupe County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Grant County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Harding County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Curry County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Los Alamos County 2010 Census County Subdivision County-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Colorado: 2002 Economic Census. Educational Services, Geographic Area Series, EC02-61A-CO.

    Science.gov (United States)

    US Department of Commerce, 2005

    2005-01-01

    The economic census is the major source of facts about the structure and functioning of the nation's economy. It provides essential information for government, business, industry, and the general public. This document contains statistical census data from 2002 for the state of Colorado. Statistical information is presented in table form, on the…

  6. 76 FR 10556 - Codex Alimentarius Commission: Meeting of the Codex Committee on Fish and Fishery Products

    Science.gov (United States)

    2011-02-25

    ... Amendment to the Standard for Quick Frozen Fish Sticks. Proposed Food Additive Provisions in Standards for... DEPARTMENT OF AGRICULTURE Food Safety and Inspection Service [Docket No. FSIS-2010-0036] Codex Alimentarius Commission: Meeting of the Codex Committee on Fish and Fishery Products AGENCY: Office of the...

  7. [Application of image recognition technology in census of national traditional Chinese medicine resources].

    Science.gov (United States)

    Zhang, Xiao-Bo; Ge, Xiao-Guang; Jin, Yan; Shi, Ting-Ting; Wang, Hui; Li, Meng; Jing, Zhi-Xian; Guo, Lan-Ping; Huang, Lu-Qi

    2017-11-01

    With the development of computer and image processing technology, image recognition technology has been applied to the national medicine resources census work at all stages.Among them: ①In the preparatory work, in order to establish a unified library of traditional Chinese medicine resources, using text recognition technology based on paper materials, be the assistant in the digitalization of various categories related to Chinese medicine resources; to determine the representative area and plots of the survey from each census team, based on the satellite remote sensing image and vegetation map and other basic data, using remote sensing image classification and other technical methods to assist in determining the key investigation area. ②In the process of field investigation, to obtain the planting area of Chinese herbal medicine was accurately, we use the decision tree model, spectral feature and object-oriented method were used to assist the regional identification and area estimation of Chinese medicinal materials.③In the process of finishing in the industry, in order to be able to relatively accurately determine the type of Chinese medicine resources in the region, based on the individual photos of the plant, the specimens and the name of the use of image recognition techniques, to assist the statistical summary of the types of traditional Chinese medicine resources. ④In the application of the results of transformation, based on the pharmaceutical resources and individual samples of medicinal herbs, the development of Chinese medicine resources to identify APP and authentic herbs 3D display system, assisted the identification of Chinese medicine resources and herbs identification characteristics. The introduction of image recognition technology in the census of Chinese medicine resources, assisting census personnel to carry out related work, not only can reduce the workload of the artificial, improve work efficiency, but also improve the census results

  8. Impacts of climate change and variability on European agriculture

    DEFF Research Database (Denmark)

    Orlandini, Simone; Nejedlik, Pavol; Eitzinger, Josef

    2008-01-01

    susceptible to meteorological hazards. These hazards can modify environment-genotype interactions, which can affect the quality of production. The COST 734 Action (Impacts of Climate Change and Variability on European Agriculture), launched in 2006, is composed of 28 signature countries and is funded...... by the European Commission. The main objective of the Action is the evaluation of possible impacts arising from climate change and variability on agriculture and the assessment of critical thresholds for various European areas. The Action will concentrate on four different tasks: agroclimatic indices...... and simulation models, including review and assessment of tools used to relate climate and agricultural processes; evaluation of the current trends of agroclimatic indices and model outputs, including remote sensing; developing and assessing future regional and local scenarios of agroclimatic conditions...

  9. Census 2001: issues and perspectives.

    Science.gov (United States)

    1998-01-01

    This article discusses the Census of India for 2001 and gender issues such as the sex ratio, undercounts of girls, tribe and scheduled caste data, and the data users' conference. The April 1998 conference was attended by representatives of government planning and development departments, research institutions, and statisticians and researchers. Under consideration was a government Ministry of Welfare proposal to reintroduce, after a 60-year hiatus, data by scheduled caste and tribe. This issue is complicated by criteria that vary by state and includability. Quotas for backward classes in educational institutions, government jobs, and in decision-making bodies are the reason for designations by caste. Some groups are distressed because of lack of inclusion as backward classes. M.N. Srinivas strongly advises that counting by caste will create problems for enumerators and will result in lawsuits and violent disturbances. G. Shah argues that caste counts will not weaken the caste system nor expand their political power, but will intensify internal conflicts between the Dalit and Bahujan movements. One other issue is the reintroduction of the 1961 Household schedule which provides family composition by landholding size and household enterprise. Krishnaji advises that this data would help analyze sex ratio imbalances. In 1997, the Core Group examined gender equity issues and operational issues about increasing the scope without increasing costs. The Core Group recommended caste data at the district and sub-district level. Undercounting of the female work force is a continuing issue from the 1991 Census. Suggestions by the Core Group are indicated in brief.

  10. AGRICULTURAL DEVELOPMENT PLANNING BASED ON LOCAL RESOURCES IN DEPOK CITY, INDONESIA

    Directory of Open Access Journals (Sweden)

    Abdurahim A.

    2018-01-01

    Full Text Available The background of this study is that Dewa Starfruit as a local resource in Depok City is threatened with extinction. The absence of regulations that protect these local resources and high rate of land use conversion causes decreasing number of starfruit plants and production. Starfruit farmers tend to switch professions to non-agricultural occupations. In national level, the largest number of agricultural business households experienced the greatest decline in horticulture subsector by 37.4% (Agricultural Census 2013. The elected regional head has branded Depok City with the tagline "friendly city" replacing Dewa Starfruit. The government's orientation and support for Dewa starfruit is fading away. Therefore, Depok City Government, especially DKP3, need to develop local resource-based agriculture development plan in order to be able to maintain local resources while improving it for society welfare. This research uses qualitative approach. The research informants were DKP3 apparatus of Depok City, Bappeda (Regional Government apparatus of Depok City, field officer and farmer group. Data collection techniques used in-depth interviews and documentary studies. Data analysis utilized interactive model. Research results indicate that the development of local resource-based agricultural development plans has not gone well. Despite various supporting factors, there are existing inhibiting factors which are land use conversion had never been discussed; DKP3 Depok City efforts to safeguard agricultural issues in musrenbang has not been optimal; no field data update, either by couseling workers or farmers; DKP3 Depok City prioritized RPL activity; uneducated farmers; and absence of regional head support.

  11. Protecting agriculture against nuclear radiations: conception and measures

    International Nuclear Information System (INIS)

    Lehmann Hans-Joerg

    1997-01-01

    In case of atomic and chemical (AC) accident or attacks the agriculture is severely affected. This became clearly after the Chernobyl disaster, after which the authorities mobilized and increased the efforts to protect the agriculture. In Switzerland the Federal Commission for AC protection has undertaken the necessary actions in collaboration with the Federal Office for Agriculture. The protection of agriculture against radioactive fallout has many aspects. One of these concerns the requirement of informing farmers with all the necessary instruction to ensure the protection of rural population and animals, foods and forages, to make them able to take essential protection measures without exterior assistance, and to provide the agriculture buildings with simple and durable tools necessary in case of emergency intervention. To implement these requirements on Confederation level educational programs were developed to instruct agriculture agents and advisors on basic notions of radioactivity and radiation protection. These programs are thought to make the farmer aware with the implications of nuclear chemical and nuclear menace and the measures of protecting its enterprise by own means. Special instructions are to be applied by the enterprise chiefs to ensure first that the personnel protection is the top priority and then how to minimize and limit the damage produced by the radiation accident

  12. Energy Crops and the Common Agricultural Policy

    Energy Technology Data Exchange (ETDEWEB)

    McCormick, Kes; Nilsson, Helen; Tomescu, Mihail [Lund Univ. (Sweden). International Inst. for Industrial Environmental Economics (IIIEE)

    2006-07-15

    The Biomass Action Plan (BAP) for Europe outlines how to achieve the targets for bioenergy and energy crops defined by the European Commission and member states. However, it is the Common Agricultural Policy (CAP) that shapes the utilisation of agricultural land. This paper therefore reviews the supportive measures for energy crops in recent CAP reforms and investigates the effects on farmers in 'real-life' case studies from Sweden, Italy and Austria. This paper explores if the recent CAP reforms are sufficient to motivate farmers to cultivate energy crops; identifies the barriers and drivers for energy crops from the perspective of farmers; and suggests how to enhance supportive measures in the CAP to overcome barriers and complement the BAP.

  13. Public census data on CD-ROM at Lawrence Berkeley Laboratory

    Energy Technology Data Exchange (ETDEWEB)

    Merrill, D.W.

    1992-10-01

    The Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socio-economic and geographic data files which are available to CEDR and PAREP collaborators via LBL's computing network. At this time 70 CD-ROM diskettes (approximately 36 gigabytes) are on line via the Unix file server cedrcd. lbl. gov. Most of the files are from the US Bureau of the Census, and most pertain to the 1990 Census of Population and Housing. All the CD-ROM diskettes contain documentation in the form of ASCII text files. Printed documentation for most files is available for inspection at University of California Data and Technical Assistance (UC DATA), or the UC Documents Library. Many of the CD-ROM diskettes distributed by the Census Bureau contain software for PC compatible computers, for easily accessing the data. Shared access to the data is maintained through a collaboration among the CEDR and PAREP projects at LBL, and UC DATA, and the UC Documents Library. Via the Sun Network File System (NFS), these data can be exported to Internet computers for direct access by the user's application program(s).

  14. Public census data on CD-ROM at Lawrence Berkeley Laboratory

    Energy Technology Data Exchange (ETDEWEB)

    Merrill, D.W.

    1992-10-01

    The Comprehensive Epidemiologic Data Resource (CEDR) and Populations at Risk to Environmental Pollution (PAREP) projects, of the Information and Computing Sciences Division (ICSD) at Lawrence Berkeley Laboratory (LBL), are using public socio-economic and geographic data files which are available to CEDR and PAREP collaborators via LBL`s computing network. At this time 70 CD-ROM diskettes (approximately 36 gigabytes) are on line via the Unix file server cedrcd. lbl. gov. Most of the files are from the US Bureau of the Census, and most pertain to the 1990 Census of Population and Housing. All the CD-ROM diskettes contain documentation in the form of ASCII text files. Printed documentation for most files is available for inspection at University of California Data and Technical Assistance (UC DATA), or the UC Documents Library. Many of the CD-ROM diskettes distributed by the Census Bureau contain software for PC compatible computers, for easily accessing the data. Shared access to the data is maintained through a collaboration among the CEDR and PAREP projects at LBL, and UC DATA, and the UC Documents Library. Via the Sun Network File System (NFS), these data can be exported to Internet computers for direct access by the user`s application program(s).

  15. America's Churning Races: Race and Ethnicity Response Changes Between Census 2000 and the 2010 Census.

    Science.gov (United States)

    Liebler, Carolyn A; Porter, Sonya R; Fernandez, Leticia E; Noon, James M; Ennis, Sharon R

    2017-02-01

    A person's racial or ethnic self-identification can change over time and across contexts, which is a component of population change not usually considered in studies that use race and ethnicity as variables. To facilitate incorporation of this aspect of population change, we show patterns and directions of individual-level race and Hispanic response change throughout the United States and among all federally recognized race/ethnic groups. We use internal U.S. Census Bureau data from the 2000 and 2010 censuses in which responses have been linked at the individual level (N = 162 million). Approximately 9.8 million people (6.1 %) in our data have a different race and/or Hispanic-origin response in 2010 than they did in 2000. Race response change was especially common among those reported as American Indian, Alaska Native, Native Hawaiian, Other Pacific Islander, in a multiple-race response group, or Hispanic. People reported as non-Hispanic white, black, or Asian in 2000 usually had the same response in 2010 (3 %, 6 %, and 9 % of responses changed, respectively). Hispanic/non-Hispanic ethnicity responses were also usually consistent (13 % and 1 %, respectively, changed). We found a variety of response change patterns, which we detail. In many race/Hispanic response groups, we see population churn in the form of large countervailing flows of response changes that are hidden in cross-sectional data. We find that response changes happen across ages, sexes, regions, and response modes, with interesting variation across racial/ethnic categories. Researchers should address the implications of race and Hispanic-origin response change when designing analyses and interpreting results.

  16. Potential Uses of Administrative Records for Triple System Modeling for Estimation of Census Coverage Error in 2020

    Directory of Open Access Journals (Sweden)

    Griffin Richard A.

    2014-06-01

    Full Text Available Heterogeneity in capture probabilities is known to produce bias in the dual system estimates that have been used to estimate census coverage in U.S. Censuses since 1980. Triple system estimation using an administrative records list as a third source along with the census and coverage measurement survey has the potential to produce estimates with less bias. This is particularly important for hard-to-reach populations.

  17. 76 FR 3609 - Proposed Information Collection; Comment Request; Census in Schools and Partnership Program Research

    Science.gov (United States)

    2011-01-20

    ... in Schools and Partnership Program Research AGENCY: U.S. Census Bureau, Commerce. ACTION: Notice... Schools (CIS) Program and the Partnership Program (PP) with three primary objectives: (1) To increase the.... The CIS Program educated primary and secondary school students about the 2010 Census; the students, in...

  18. The application of the geography census data in seismic hazard assessment

    Science.gov (United States)

    Yuan, Shen; Ying, Zhang

    2017-04-01

    Limited by basic data timeliness to earthquake emergency database in Sichuan province, after the earthquake disaster assessment results and the actual damage there is a certain gap. In 2015, Sichuan completed the province census for the first time which including topography, traffic, vegetation coverage, water area, desert and bare ground, traffic network, the census residents and facilities, geographical unit, geological hazard as well as the Lushan earthquake-stricken area's town planning construction and ecological environment restoration. On this basis, combining with the existing achievements of basic geographic information data and high resolution image data, supplemented by remote sensing image interpretation and geological survey, Carried out distribution and change situation of statistical analysis and information extraction for earthquake disaster hazard-affected body elements such as surface coverage, roads, structures infrastructure in Lushan county before 2013 after 2015. At the same time, achieved the transformation and updating from geographical conditions census data to earthquake emergency basic data through research their data type, structure and relationship. Finally, based on multi-source disaster information including hazard-affected body changed data and Lushan 7.0 magnitude earthquake CORS network coseismal displacement field, etc. obtaining intensity control points through information fusion. Then completed the seismic influence field correction and assessed earthquake disaster again through Sichuan earthquake relief headquarters technology platform. Compared the new assessment result，original assessment result and actual earthquake disaster loss which shows that the revised evaluation result is more close to the actual earthquake disaster loss. In the future can realize geographical conditions census data to earthquake emergency basic data's normalized updates, ensure the timeliness to earthquake emergency database meanwhile improve the

  19. Biotechnology and Nuclear Agricultural Research Institute Annual Report January - December 2012

    International Nuclear Information System (INIS)

    2013-01-01

    The annual report highlights the activities of the Biotechnology and Nuclear Agriculture Research Institute (BNARI) of the Ghana Atomic Energy Commission for the year 2012 grouped under the following headings: Overview of programmes and activities; list of publications, conferences, training courses and workshops attended by staff and future projections. (A. B.)

  20. Archive of Census Related Products (ACRP): 1980 SAS Transport Files

    Data.gov (United States)

    National Aeronautics and Space Administration — The 1980 SAS Transport Files portion of the Archive of Census Related Products (ACRP) contains housing and population demographics from the 1980 Summary Tape File...

  1. Association rule mining data for census tract chemical exposure analysis

    Data.gov (United States)

    U.S. Environmental Protection Agency — Chemical concentration, exposure, and health risk data for U.S. census tracts from National Scale Air Toxics Assessment (NATA). This dataset is associated with the...

  2. Low-Income Housing Tax Credit (LIHTC) Qualified Census Tract (QCT)

    Data.gov (United States)

    Department of Housing and Urban Development — It allows to generate tables for Low-Income Housing Tax Credit (LIHTC) Qualified Census Tracts (QCT) and for Difficult Development Areas (DDA). LIHTC Qualified...

  3. Survey data on cost and benefits of climate smart agricultural technologies in western Kenya.

    Science.gov (United States)

    Ng'ang'a, S K; Mwungu, C M; Mwongera, C; Kinyua, I; Notenbaert, A; Girvetz, E

    2018-02-01

    This paper describes data that were collected in three counties of western Kenya, namely Siaya, Bungoma, and Kakamega. The main aim of collecting the data was to assess the climate smartness, profitability and returns of soil protection and rehabilitation measures. The data were collected from 88 households. The households were selected using simple random sampling technique from a primary sampling frame of 180 farm households provided by the ministry of agriculture through the counties agricultural officers. The surveys were administered by trained research assistants using a structured questionnaire that was designed in Census and Survey Processing System (CSPro). Later, the data was exported to STATA version 14.1 for cleaning and management purposes. The data are hosted in an open source dataverse to allow other researchers generate new insights from the data (http://dx.doi.org/10.7910/DVN/K6JQXC).

  4. Results of the January 2017 waterbird census in Slovenia

    Directory of Open Access Journals (Sweden)

    Božič Luka

    2017-12-01

    Full Text Available In 2017, the International Waterbird Census (IWC was carried out in Slovenia on January 14 and 15. Waterbirds were counted on all larger rivers, along the entire Slovenian Coastland and on most of the major standing waters in the country. During the census, in which 235 observers took part, 413 sections of the rivers and coastal sea with a total length of 1,427 km and 200 other localities (164 standing waters and 36 streams were surveyed. The census was characterized by harsh winter conditions and high proportion of frozen water bodies. Altogether, 51,790 waterbirds of 61 species were counted. Thus, the number of waterbirds and the number of species recorded were close to the 21-year average. The highest numbers of waterbirds were counted in the Drava count area, i.e. 20,064 individuals (38.7% of all waterbirds in Slovenia. By far the most numerous species was Mallard Anas platyrhynchos (46.1% of all waterbirds, followed by Coot Fulica atra (6.8% of all waterbirds, Cormorant Phalacrocorax carbo (5.9% of all waterbirds, Black-headed Gull Chroicocephalus ridibundus (5.7% of all waterbirds and Mute Swan Cygnus olor (3.9% of all waterbirds. The number of 1,000 counted individuals was also surpassed by Yellow-legged Gull Larus michahellis, Teal An. crecca, Tufted Duck Aythya fuligula, White-fronted Goose Anser albifrons, Pygmy Cormorant P. pygmeus and Grey Heron Ardea cinerea. Among the rarer recorded species, the Red-breasted Goose Branta ruficollis (registered for the first time during the January Waterbird Censuses and only for the third time ever in Slovenia and Barnacle Goose Branta leucopsis (the first probable A category individual for IWC and Slovenia deserve special mention. Numbers of the following species were the highest so far recorded during the IWC: Mandarin Duck Aix galericulata (together with 2006 and 2012, Pintail An. acuta, Ferruginous Duck Ay. nyroca, Long-tailed Duck Clangula hyemalis (together with 2003, Goosander Mergus

  5. Biotechnology and Nuclear Agriculture Research Institute (BNARI) : Annual Report January - December 2014

    International Nuclear Information System (INIS)

    2014-01-01

    The report is a summary of research projects undertaken by various centres of the Biotechnology and Nuclear Agriculture Institute (BNARI) of the Ghana Atomic Energy Commission from January to December 2014. Also included are the lists of published journal articles and technical reports issued by Staff.

  6. EnviroAtlas - Phoenix, AZ - Historic Places by Census Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the...

  7. EnviroAtlas - Pittsburgh, PA - Historic Places by Census Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the...

  8. EnviroAtlas - Fresno, CA - Historic Places by Census Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the...

  9. EnviroAtlas - Durham, NC - Historic Places by Census Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the...

  10. R2 & NE Tract - 2010 Census; Housing and Population Summary

    Data.gov (United States)

    U.S. Environmental Protection Agency — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. R2 & NE County - 2010 Census; Housing and Population Summary

    Data.gov (United States)

    U.S. Environmental Protection Agency — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. R2 & NE State - 2010 Census; Housing and Population Summary

    Data.gov (United States)

    U.S. Environmental Protection Agency — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. EnviroAtlas - Paterson, NJ - Historic Places by Census Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the...

  14. EnviroAtlas - Portland, OR - Historic Places by Census Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the...

  15. EnviroAtlas - Memphis, TN - Historic Places by Census Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the...

  16. EnviroAtlas - Tampa, FL - Historic Places by Census Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the...

  17. EnviroAtlas - Woodbine, IA - Historic Places by Census Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the...

  18. EnviroAtlas - Portland, ME - Historic Places by Census Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the...

  19. EnviroAtlas - Milwaukee, WI - Historic Places by Census Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the...

  20. EnviroAtlas - Austin, TX - Historic Places by Census Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the...

  1. EnviroAtlas - Cleveland, OH - Historic Places by Census Block Group

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the...

  2. Agricultural production and nutrient runoff in the Corn Belt ...

    Science.gov (United States)

    Agricultural production in the Corn Belt region of the Upper Mississippi River Basin (UMRB) remains a leading source of nitrogen runoff that contributes to the annual hypoxic 'Dead Zone' in the Gulf of Mexico. The rise of corn production, land conversion, and fertilizer use in response to ethanol policy incentives in recent years is well documented and may worsen this effect. We develop a spatially distributed dynamic environmental performance index (EPI), accounting for both desirable agricultural outputs and undesirable nonpoint source emissions from farm production, to examine the corresponding changes in environmental performance within the UMRB between 2002 and 2007, which is characterized by increasing policy incentives for ethanol production. County-level production data from the USDA agricultural census are aggregated to hydrologic unit code (HUC8) boundaries using a geographic information system (GIS), and a previously developed statistical model, which includes net anthropogenic nitrogen inputs (NANI) as well as precipitation and land use characteristics as inputs, is used to estimate annual nitrogen loadings delivered to streams from HUC8 watersheds. The EPI allows us to decompose performance of each HUC8 region over time into changes in productive efficiency and emissions efficiency. To our knowledge, this is the first study to examine the corresponding changes in environmental performance for producers in this region at the watershed scale. The resu

  3. Deriving a per-field land use and land cover map in an agricultural mosaic catchment

    Science.gov (United States)

    Seo, B.; Bogner, C.; Poppenborg, P.; Martin, E.; Hoffmeister, M.; Jun, M.; Koellner, T.; Reineking, B.; Shope, C. L.; Tenhunen, J.

    2014-09-01

    Detailed data on land use and land cover constitute important information for Earth system models, environmental monitoring and ecosystem services research. Global land cover products are evolving rapidly; however, there is still a lack of information particularly for heterogeneous agricultural landscapes. We censused land use and land cover field by field in the agricultural mosaic catchment Haean in South Korea. We recorded the land cover types with additional information on agricultural practice. In this paper we introduce the data, their collection and the post-processing protocol. Furthermore, because it is important to quantitatively evaluate available land use and land cover products, we compared our data with the MODIS Land Cover Type product (MCD12Q1). During the studied period, a large portion of dry fields was converted to perennial crops. Compared to our data, the forested area was underrepresented and the agricultural area overrepresented in MCD12Q1. In addition, linear landscape elements such as waterbodies were missing in the MODIS product due to its coarse spatial resolution. The data presented here can be useful for earth science and ecosystem services research. The data are available at the public repository Pangaea (doi:110.1594/PANGAEA.823677).

  4. Innovation in Agriculture - a Way for Romanian Farmers to Adjust Production to Market Requirements

    Directory of Open Access Journals (Sweden)

    Manuela Dora Orboi

    2017-11-01

    Full Text Available One of the main problems of the world in the coming years is food security. The main problem of agriculture in the future is not only to produce more, but to do so in a sustainable way. European Innovation Partnership called "Productivity and sustainability of agriculture" aims to provide a working interface between agriculture, bio-economy, science and other disciplines at national, regional and EU level. European Innovation Partnership is a new concept that was introduced in Strategy Europe 2020 of the European Commission. In this document, the Commission underlines the role of research and innovation as key elements in adapting to future challenges of the European Union. This partnership will also serve as a catalyst to increase the effectiveness of actions related to innovation supported through rural development policy, EU research and innovation. It has been identified two main objectives for the European Innovation Partnership: promoting productivity and efficiency of agriculture and durable agriculture sustainability in all Member States. It aims to create a better cooperation between research and agricultural practice, namely farmers. Through National Program for Rural Development 2014 - 2020, can be financed such initiatives, through Measure 16, sub-16.1 - Support for the establishment and operation of operational groups of the EIP for agricultural productivity and sustainability and sub-16.2 - Support for pilot projects and development of new products, practices, processes and technologies. The purpose of these sub-measures is to support the establishment of operational groups between partners coming from research: research institutes, research stations or centers, higher education institutions that have research in agriculture or which can be applied in agriculture and agricultural producers (farmers, companies, cooperatives and producer groups. Development and innovation activities would enable farmers to capitalize on joint the

  5. America’s Churning Races: Race and Ethnic Response Changes between Census 2000 and the 2010 Census

    Science.gov (United States)

    Liebler, Carolyn A.; Porter, Sonya R.; Fernandez, Leticia E.; Noon, James M.; Ennis, Sharon R.

    2017-01-01

    Race and ethnicity responses can change over time and across contexts – a component of population change not usually considered in studies that use race and ethnicity as variables. To facilitate incorporation of this aspect of population change, we show patterns and directions of individual-level race and Hispanic response change throughout the U.S. and among all federally recognized race/ethnic groups. We use internal Census Bureau data from the 2000 and 2010 censuses in which responses have been linked at the individual level (N = 162 million). About 9.8 million people (6.1 percent) in our data have a different race and/or Hispanic origin response in 2010 than they did in 2000. Race response change was especially common among those reported as American Indian, Alaska Native, Native Hawaiian, Other Pacific Islander, in a multiple-race response group, or Hispanic. People reported as non-Hispanic white, black, or Asian in 2000 usually had the same response in 2010 (3%, 6% and 9% of responses changed, respectively). Hispanic/non-Hispanic ethnicity responses were also usually consistent (13% and 1% changed). There were a variety of response change patterns, which we detail. In many race/Hispanic response groups, there is population churn in the form of large countervailing flows of response changes that are hidden in cross-sectional data. We find that response changes happen across ages, sexes, regions, and response modes, with interesting variation across race/ethnic categories. Researchers should think through and discuss the implications of race and Hispanic origin response change when designing analyses and interpreting results. PMID:28105578

  6. San Miguel County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. New Mexico, 2010 Census Combined Statistical Area (CSA) State-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Los Alamos County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. De Baca County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. McKinley County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Dona Ana County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. San Juan County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Rio Arriba County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Santa Fe County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Ministerial Order concerning radioactive contamination of agricultural products

    International Nuclear Information System (INIS)

    1987-01-01

    The purpose of this Order is to implement at national level Articles 1 and 3 of the Council of the European Communities' Regulation No. 1707/86 of 30th May 1986, as amended by Commission Regulation No. 1762/86 of 5th June 1986 (Official Journal of the European Communities 1986 Nos. L 146 and L 152), on conditions for the import of agricultural products from non-European Community States after the Chernobyl accident [fr

  16. The Genomes of All Angiosperms: A Call for a Coordinated Global Census

    Directory of Open Access Journals (Sweden)

    David W. Galbraith

    2011-01-01

    Full Text Available Recent advances in biological instrumentation and associated experimental technologies now permit an unprecedented efficiency and scale for the acquisition of genomic data, at ever-decreasing costs. Further advances, with accompanying decreases in cost, are expected in the very near term. It now becomes appropriate to discuss the best uses of these technologies in the context of the angiosperms. This white paper proposes a complete genomic census of the approximately 500,000 species of flowering plants, outlines the goals of this census and their value, and provides a road map towards achieving these goals in a timely manner.

  17. Commission on Legal Matters

    CERN Multimedia

    Staff Association

    2016-01-01

    What is a commission within the Staff Association (SA)? A commission is a working group of the CERN Staff Council, led by a staff representative. The commission is composed mainly of staff representatives, but interested members of the SA can apply to participate in the work of a commission. What is the commission on legal matters? The commission on legal matters works on texts governing the employment conditions of staff (Employed Members of Personnel and Associated Members of Personnel). This covers legal documents such as the Staff Rules and Regulations, administrative and operational circulars, as well as any other document relating to employment conditions. How is the work organised in this commission? The revision process of the text is generally done along following lines: The HR department, and its legal experts, proposes new texts or modifications to existing texts. A schedule for the study of these texts is established each year and this calendar by the commission to plan its work. The new or modi...

  18. Integration of population census and water point mapping data-A case study of Cambodia, Liberia and Tanzania.

    Science.gov (United States)

    Yu, Weiyu; Wardrop, Nicola A; Bain, Robert; Wright, Jim A

    2017-07-01

    Sustainable Development Goal (SDG) 6 has expanded the Millennium Development Goals' focus from improved drinking-water to safely managed water services. This expanded focus to include issues such as water quality requires richer monitoring data and potentially integration of datasets from different sources. Relevant data sets include water point mapping (WPM), the survey of boreholes, wells and other water points, census and household survey data. This study examined inconsistencies between population census and WPM datasets for Cambodia, Liberia and Tanzania, and identified potential barriers to integrating the two datasets to meet monitoring needs. Literatures on numbers of people served per water point were used to convert WPM data to population served by water source type per area and compared with census reports. For Cambodia and Tanzania, discrepancies with census data suggested incomplete WPM coverage. In Liberia, where the data sets were consistent, WPM-derived data on functionality, quantity and quality of drinking water were further combined with census area statistics to generate an enhanced drinking-water access measure for protected wells and springs. The process revealed barriers to integrating census and WPM data, including exclusion of water points not used for drinking by households, matching of census and WPM source types; temporal mismatches between data sources; data quality issues such as missing or implausible data values, and underlying assumptions about population served by different water point technologies. However, integration of these two data sets could be used to identify and rectify gaps in WPM coverage. If WPM databases become more complete and the above barriers are addressed, it could also be used to develop more realistic measures of household drinking-water access for monitoring. Copyright © 2017 Elsevier GmbH. All rights reserved.

  19. Commissioning MMS

    Science.gov (United States)

    Wood, Paul; Gramling, Cheryl; Stone, John; Smith, Patrick; Reiter, Jenifer

    2016-01-01

    This paper discusses commissioning of NASAs Magnetospheric MultiScale (MMS) Mission. The mission includes four identical spacecraft with a large, complex set of instrumentation. The planning for and execution of commissioning for this mission is described. The paper concludes by discussing lessons learned.

  20. Audit of the Federal Energy Regulatory Commission`s Office of Chief Accountant

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-04-07

    The Federal Energy Regulatory Commission`s (Commission) mission is to oversee America`s natural gas and oil pipeline transportation, electric utility, and hydroelectric power industries to ensure that consumers receive adequate energy supplies at just and reasonable rates. To carry out this mission, the Commission issues regulations covering the accounting, reporting, and rate-making requirements of the regulated utility companies. The Commission`s Office of Chief Accountant performs financial related audits at companies to ensure compliance with these regulations. The purpose of this audit was to evaluate the office of Chief Accountant`s audit performance. Specifically, the objectives were to determine if the most appropriate audit approach was used and if a quality assurance process was in place to ensure reports were accurate and supported by the working papers.

Some links on this page may take you to non-federal websites. Their policies may differ from this site.