WorldWideScience

Sample records for census hard-to-see sea

  1. California sea otter (Enhydra lutris nereis) census results, Spring 2016

    Science.gov (United States)

    Tinker, M. Tim; Hatfield, Brian B.

    2016-09-19

    The 2016 census of southern sea otters Enhydra lutris nereis was conducted in May along the mainland coast of central California and in April at San Nicolas Island in southern California. The 3-year average of combined counts from the mainland range and San Nicolas Island was 3,272. This is the first year that the official index has exceeded 3,090, the Endangered Species Act delisting threshold suggested by the U.S. Fish and Wildlife Service (the threshold would need to be exceeded for 3 consecutive years before delisting consideration). The 5-year average trend in abundance, including both the mainland range and San Nicolas Island populations, is positive at 3.2 percent per year; however, regional trends vary, with localized declines at the southern and northern peripheries of the mainland range. The lack of population growth in the range peripheries over recent years likely explains the cessation of range expansion, with the range limits remaining almost unchanged from the previous 5 years.

  2. Water mass census in the Nordic seas using climatological and observational data sets

    International Nuclear Information System (INIS)

    We have compared and evaluated the water mass census in the Greenland-Iceland-Norwegian (Gin) Sea area from climatologies, observational data sets and model output. The four climatologies evaluated were: the 1998 and 2001 versions of the World Ocean Atlas (WOA98, WOA01), and the United States Navy's GDEM90 (Generalized Digital Environmental Model) and MODAS01 (Modular Ocean Data Assimilation System) climatologies. Three observational data sets were examined: the multidecadal (1965-1995) set contained on the National Oceano- graphic Data Centre's (NODC) WOD98 (World Ocean Data) Cd-Rom, and two seasonal data sets extracted from observations taken on six cruises by the SACLANT Research Center (SACLANTCEN) of NATO/Italy between 1986-1989. The model data is extracted from a global model run at 1/3 degree resolution for the years 1983-1997, using the Pop (Parallel Ocean Program) model of the Los Alamos National Laboratory. The census computations focused on the Norwegian Sea, in the southern part of the Gin Sea, between 100W-100E and 600N-700N, especially for comparisons with the hydro casts and the model. Cases of such evaluation computations included: (a) short term comparisons with quasi-synoptic CTD surveys carried out over a 4-year period in the southeastern Gin Sea; (b) climatological comparisons utilizing all available casts from the WOD98 Cd-Rom, with four climatologies; and (c) a comparison between the WOA01 climatology and the Pop model output ending in 1997. In this region in the spring, the fraction of ocean water that has salinity above 34.85 is ∼94%, and that has temperatures above 00C is ∼33%. Three principal water masses dominated the census: the Atlantic water A W, the deep water D W and an intermediate water mass defined as Lower Arctic Intermediate Water (LAIW). Besides these classes, both the climatologies and the observations exhibited the significant presence of deep water masses with T-S characteristics that do not fall into the named varieties

  3. Please mind the gap - Visual census and cryptic biodiversity assessment at central Red Sea coral reefs.

    Science.gov (United States)

    Pearman, John K; Anlauf, Holger; Irigoien, Xabier; Carvalho, Susana

    2016-07-01

    Coral reefs harbor the most diverse assemblages in the ocean, however, a large proportion of the diversity is cryptic and, therefore, undetected by standard visual census techniques. Cryptic and exposed communities differ considerably in species composition and ecological function. This study compares three different coral reef assessment protocols: i) visual benthic reef surveys: ii) visual census of Autonomous Reef Monitoring Structures (ARMS) plates; and iii) metabarcoding techniques of the ARMS (including sessile, 106-500 μm and 500-2000 μm size fractions), that target the cryptic and exposed communities of three reefs in the central Red Sea. Visual census showed a dominance of Cnidaria (Anthozoa) and Rhodophyta on the reef substrate, while Porifera, Bryozoa and Rhodophyta were the most abundant groups on the ARMS plates. Metabarcoding, targeting the 18S rRNA gene, significantly increased estimates of the species diversity (p reefs. Furthermore, metabarcoding detected microbial eukaryotic groups such as Syndiniophyceae, Mamiellophyceae and Bacillariophyceae as relevant components of the sessile fraction. ANOSIM analysis showed that the three reef sites showed no differences based on the visual census data. Metabarcoding showed a higher sensitivity for identifying differences between reef communities at smaller geographic scales than standard visual census techniques as significant differences in the assemblages were observed amongst the reefs. Comparison of the techniques showed no similar patterns for the visual techniques while the metabarcoding of the ARMS showed similar patterns amongst fractions. Establishing ARMS as a standard tool in reef monitoring will not only advance our understanding of local processes and ecological community response to environmental changes, as different faunal components will provide complementary information but also improve the estimates of biodiversity in coral reef benthic communities. This study lays the foundations

  4. Please mind the gap - Visual census and cryptic biodiversity assessment at central Red Sea coral reefs.

    Science.gov (United States)

    Pearman, John K; Anlauf, Holger; Irigoien, Xabier; Carvalho, Susana

    2016-07-01

    Coral reefs harbor the most diverse assemblages in the ocean, however, a large proportion of the diversity is cryptic and, therefore, undetected by standard visual census techniques. Cryptic and exposed communities differ considerably in species composition and ecological function. This study compares three different coral reef assessment protocols: i) visual benthic reef surveys: ii) visual census of Autonomous Reef Monitoring Structures (ARMS) plates; and iii) metabarcoding techniques of the ARMS (including sessile, 106-500 μm and 500-2000 μm size fractions), that target the cryptic and exposed communities of three reefs in the central Red Sea. Visual census showed a dominance of Cnidaria (Anthozoa) and Rhodophyta on the reef substrate, while Porifera, Bryozoa and Rhodophyta were the most abundant groups on the ARMS plates. Metabarcoding, targeting the 18S rRNA gene, significantly increased estimates of the species diversity (p < 0.001); revealing that Annelida were generally the dominant phyla (in terms of reads) of all fractions and reefs. Furthermore, metabarcoding detected microbial eukaryotic groups such as Syndiniophyceae, Mamiellophyceae and Bacillariophyceae as relevant components of the sessile fraction. ANOSIM analysis showed that the three reef sites showed no differences based on the visual census data. Metabarcoding showed a higher sensitivity for identifying differences between reef communities at smaller geographic scales than standard visual census techniques as significant differences in the assemblages were observed amongst the reefs. Comparison of the techniques showed no similar patterns for the visual techniques while the metabarcoding of the ARMS showed similar patterns amongst fractions. Establishing ARMS as a standard tool in reef monitoring will not only advance our understanding of local processes and ecological community response to environmental changes, as different faunal components will provide complementary information but

  5. Please mind the gap – Visual census and cryptic biodiversity assessment at central Red Sea coral reefs

    KAUST Repository

    Pearman, John K.

    2016-04-26

    Coral reefs harbor the most diverse assemblages in the ocean, however, a large proportion of the diversity is cryptic and, therefore, undetected by standard visual census techniques. Cryptic and exposed communities differ considerably in species composition and ecological function. This study compares three different coral reef assessment protocols: i) visual benthic reef surveys: ii) visual census of Autonomous Reef Monitoring Structures (ARMS) plates; and iii) metabarcoding techniques of the ARMS (including sessile, 106–500 μm and 500–2000 μm size fractions), that target the cryptic and exposed communities of three reefs in the central Red Sea. Visual census showed a dominance of Cnidaria (Anthozoa) and Rhodophyta on the reef substrate, while Porifera, Bryozoa and Rhodophyta were the most abundant groups on the ARMS plates. Metabarcoding, targeting the 18S rRNA gene, significantly increased estimates of the species diversity (p < 0.001); revealing that Annelida were generally the dominant phyla (in terms of reads) of all fractions and reefs. Furthermore, metabarcoding detected microbial eukaryotic groups such as Syndiniophyceae, Mamiellophyceae and Bacillariophyceae as relevant components of the sessile fraction. ANOSIM analysis showed that the three reef sites showed no differences based on the visual census data. Metabarcoding showed a higher sensitivity for identifying differences between reef communities at smaller geographic scales than standard visual census techniques as significant differences in the assemblages were observed amongst the reefs. Comparison of the techniques showed no similar patterns for the visual techniques while the metabarcoding of the ARMS showed similar patterns amongst fractions. Establishing ARMS as a standard tool in reef monitoring will not only advance our understanding of local processes and ecological community response to environmental changes, as different faunal components will provide complementary information but

  6. A longitudinal study of Steller sea lion natality rates in the Gulf of Alaska with comparisons to census data.

    Science.gov (United States)

    Maniscalco, John M; Springer, Alan M; Parker, Pamela; Adkison, Milo D

    2014-01-01

    Steller sea lion (Eumetopias jubatus) numbers in the Western Distinct Population Segment are beginning to recover following the dramatic decline that began in the 1970s and ended around the turn of the century. Low female reproductive rates (natality) may have contributed to the decline and remain an issue of concern for this population. During the 2000s we found high natality among Steller sea lions in the Gulf of Alaska indicating a healthy population. This study extends these previous estimates over an additional three years and tests for interannual variations and long-term trends. We further examine the proportions of pups to adult females observed on the rookery and nearby haulouts during the birthing season to assess whether census data can be used to estimate natality. Open robust design multistate models were built and tested using Program MARK to estimate survival, resighting, and state transition probabilities in addition to other parameters dependent on whether or not a female gave birth in the previous year. Natality was estimated at 70% with some evidence of interannual variation but a long-term increasing or decreasing trend was not supported by the data. Bootstrap and regression comparisons of census data with natality estimates revealed no correlation between the two methods suggesting that census data are not an appropriate proxy for natality in this species. Longitudinal studies of individual animals are an appropriate method for estimating vital rates in species with variable detection over time such as the Steller sea lion. This work indicates that natality remains high in this region and is consistent with a population in recovery. PMID:25383865

  7. Census_sum_15

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The GIS layer "Census_sum_15" provides a standardized tool for examining spatial patterns in abundance and demographic trends of the southern sea otter (Enhydra...

  8. County Census Divisions, Census 2000

    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. 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...

  10. California sea lion and northern fur seal censuses conducted at Channel Islands, California by Alaska Fisheries Science Center from 1969-07-31 to 2015-08-08 (NCEI Accession 0145165)

    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...

  11. Marine animal sighting and census data from aircraft from the Beaufort Sea as part of the Outer Continental Shelf Environmental Assessment Program (OCSEAP) from 25 May 1982 to 21 September 1982 (NODC Accession 8300121)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Marine animal sighting and census data were collected from aircraft from the Beaufort Sea from 25 May 1982 to 21 September 1982. Data were collected by the Alaska...

  12. Taos 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. 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...

  14. Marine animal sighting and census data from aircraft and other platforms from the Southeastern Bering Sea and other locations as part of the Outer Continental Shelf Environmental Assessment Program (OCSEAP) from 07 March 1979 to 04 March 1983 (NODC Accession 8600251)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Marine animal sighting and census data were collected from aircraft and other platforms in the Bering Sea and other locations from 07 March 1979 to 044 March 1983....

  15. 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...

  16. Consensus on the Census

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    China will conduct its second national economic census in 2008 in order to collect accurate data for its rational policy formation.The census aims to gather information on the layout and energy consumption of all industrial and service entities in 2008.The results will facilitate more effective macroeconomic controls and more rational mid-and long-term economic planning,according to the State Council.Spokesman of the National Bureau of Statistics,the organizer of the census,answered several questions about the census on its website.The following is an excerpt from that tran- script:

  17. 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...

  18. Roosevelt 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...

  19. Guadalupe 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...

  20. 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...

  1. Bernalillo 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...

  2. Chaves 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...

  3. Grant 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...

  4. Torrance 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...

  5. 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...

  6. Grant 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. Curry 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...

  8. Lea 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...

  9. Cibola 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...

  10. Cibola 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...

  11. Quay 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...

  12. Quay 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. Sandoval 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 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...

  15. 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...

  16. Luna 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. Hidalgo 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...

  18. 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...

  19. Mora 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...

  20. 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...

  1. Waterbird Census Summary 1997

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — A census of all known wetland area large enough to have any waterbird use was commenced at Patuxent Research Refuge in the fall of 1996. This report is a...

  2. MA Common Tern Census

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The official State census period for common terns was June 1-10. The survey was conducted on June 4 by Biologist Healey, Biotech Springfield, and Maintenance...

  3. Census Snapshot: New Mexico

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in New Mexico. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in New Mexico. In many ways, the more than 6,000 same-sex couples living in New Mexico are similar to married couple...

  4. Waterbird Census Summary 1999

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This was the third full year of intensive surveys of most of the wetland areas on the Refuge. No new areas were added to the census in 1999. The inventory now...

  5. 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...

  6. DemoCensus_BLCK2000

    Data.gov (United States)

    Vermont Center for Geographic Information — DemoCensus_BLCK2000 includes Census 2000 Block boundaries and SF1 attributes. The data was downloaded (http://arcdata.esri.com/data/tiger2000/tiger_download.cfm) by...

  7. DemoCensus_MCDPLACE1990

    Data.gov (United States)

    Vermont Center for Geographic Information — The 1990 Census TIGER/Line File is an extract of selected geographic and cartographic information from the Census Bureau's TIGER (Topologically Integrated...

  8. DemoCensus_BLCKGR1990

    Data.gov (United States)

    Vermont Center for Geographic Information — The DemoCensus_BLCKGR1990 TIGER/Line File is an extract of selected geographic and cartographic information from the Census Bureau's 1990 TIGER (Topologically...

  9. Census Bureau Regional Office Boundaries

    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...

  10. 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...

  11. Census variation staffing.

    Science.gov (United States)

    Douglas, D A; Mayewski, J

    1996-02-01

    A Census Variation Staffing (CVS) model has been used successfully on all nursing units for 4 years. Historical data and nursing hours per patient day (NHPPD) are used to determine the staffing needs of each unit on a daily, shift-by-shift basis. CVS has been heralded as the single largest factor in the hospital's consistent profitability--averaging annual savings of $485,100. PMID:8632867

  12. 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...

  13. 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...

  14. Mora 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...

  15. Santa Fe 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...

  16. Valencia 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. 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...

  18. Los Alamos 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...

  19. 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...

  20. Luna 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...

  1. Chaves 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...

  2. Curry 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. Hidalgo 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. Guadalupe 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...

  5. 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...

  6. Cibola 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...

  7. McKinley 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...

  8. Census Bureau Planned Acquisition: street centerline data

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The Census Bureau updates and maintains street centerline data to support the correct allocation of population and housing for censuses and surveys. Boundaries,...

  9. 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...

  10. Colfax 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. 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...

  12. 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...

  13. Census Bureau Planned Acquisition: Address Data

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The Census Bureau updates and maintains address data to support the correct allocation of population and housing for censuses and surveys. Boundaries, streets,...

  14. Dona Ana 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...

  15. De Baca 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. 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...

  17. San Juan 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. A census of fishes and everything they eat: How the census of marine life advanced fisheries science

    Science.gov (United States)

    O'Dor, Ron; Boustany, Andre M.; Chittenden, Cedar M.; Costello, Mark J.; Moustahfid, Hassan; Payne, John; Steinke, Dirk; Stokesbury, Michael J. W.; Vanden Berghe, Edward

    2012-01-01

    The Census of Marine Life was a 10-year, international research effort to explore poorly known ocean habitats and conduct large-scale experimentation with new technology. The goal of Census 2010 in its mission statement was to describe what did live in the oceans, what does live in the oceans, and what will live in the ocean. Many of the findings and techniques from census research may prove valuable in making a transition, which many governments have publicly endorsed, from single-species fisheries management to more holistic ecosystem management. Census researchers sampled continental margins, mid-Atlantic ridges, ocean floor vents and seeps, and abyssal plains and polar seas and organized massive amounts of past and new information in a public online database called the Ocean Biogeographic Information System (www.iobis.org). The census described and categorized seamount biology worldwide for its vulnerability to fishing, advanced large-scale animal tracking with acoustic arrays and satellite archival tags, and accelerated species identification, including nearshore, coral reef, and zooplankton sampling using genetic barcoding and pyrotag sequencing for microbes and helped to launch the exciting new field of marine environmental history. Above all, the census showed the value of investing in large-scale, collaborative projects and sharing results publicly.

  19. Census 2000 Places (cen00pl02)

    Data.gov (United States)

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

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  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. Eddy 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. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. Curry 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. Cibola 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. Harding 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...

  9. 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...

  10. 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...

  11. Colfax 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. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. Roosevelt 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. 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...

  2. Hidalgo 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  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. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. Hidalgo County 1990 Census Blocks

    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...

  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. 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...

  16. 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...

  17. Guadalupe 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...

  18. Catron 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...

  19. 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...

  20. 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...

  1. 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.

  2. Unified School Districts, Census 2000

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The New Mexico 2000 Unified School Districts layer was derived from the TIGER Line files from the US Census Bureau. The districts are clipped to the state...

  3. 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...

  4. The Undercount in the 2000 Census. A Kids Count/PRB Report on Census 2000.

    Science.gov (United States)

    Edmonston, Barry

    Every 10 years, the national census describes the number of U.S. residents and their characteristics. This decennial census, however, is subject to error. This report summarizes what is known about census undercount and methods used to adjust census data, emphasizing the undercount of children and minorities. The Census Bureau reported that more…

  5. 2012 deer census data : final totals

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Final data from the 2012 deer census survey at Rocky Mountain Arsenal National Wildlife Refuge. A combination of census techniques was selected including Mobile...

  6. 78 FR 12033 - Census Advisory Committees

    Science.gov (United States)

    2013-02-21

    ... will address census policies, research and methodology, tests, operations, communications/messaging and other activities to ascertain needs and best practices to improve censuses, surveys, operations, and...:00 p.m. ADDRESSES: The meeting will be held at the U.S. Census Bureau, 4600 Silver Hill...

  7. 78 FR 57128 - Census Advisory Committees; Meetings

    Science.gov (United States)

    2013-09-17

    ... will address census policies, research and methodology, tests, operations, communications/messaging and other activities to ascertain needs and best practices to improve censuses, surveys, operations and... approximately 1:45 p.m. ADDRESSES: The meeting will be held at the U.S. Census Bureau, 4600 Silver Hill...

  8. Demographic Data - Census_Tracts_TIGER00_IN: Indiana Census Tracts 2000 (U.S. Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Census_Tracts_TIGER00_IN contains locations for all Indiana tracts identified by the US Bureau of the Census. Data is from U.S. Department of Commerce, U.S. Census...

  9. Demographic Data - Census_County_TIGER00_IN: Indiana Counties Census Data 2000 (Derived from U.S. Census Bureau, 1:24,000 Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Census_County_TIGER00_IN contains locations for all Indiana counties and contains census data for each county. Data is from U.S. Department of Commerce, U.S. Census...

  10. Demographic Data - CENSUS_BLOCKGROUPS_TIGER2011_IN: Census Block Group Areas for Indiana in 2011 (United States Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — CENSUS_BLOCKGROUPS_TIGER2011_IN.SHP is a polygon shapefile that contains 2011 census block group boundaries for the state of Indiana. Census block groups are not...

  11. Demographic Data - CENSUS_TRACTS_TIGER2011_IN: Census Tract Areas for Indiana in 2011 (United States Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — CENSUS_TRACTS_TIGER2011_IN.SHP is a polygon shapefile that contains 2011 census tract boundaries for the state of Indiana. Census tracts are not legal boundaries,...

  12. Demographic Data - CENSUS_BLOCKS_TIGER2011_IN: Census Block Areas for Indiana in 2011 (United States Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — CENSUS_TRACTS_TIGER2011_IN.SHP is a polygon shapefile that contains 2011 census block boundaries for the state of Indiana. Census blocks are not legal boundaries,...

  13. Algorithms for reengineering 1991 census geography.

    Science.gov (United States)

    Openshaw, S; Rao, L

    1995-03-01

    "The availability of GIS [geographic information systems] technology and digital boundaries of census output areas now makes it possible for users to design their own census geography. Three algorithms are described that can be used for this purpose. An Arc/Info implementation is briefly outlined and case studies presented to demonstrate some of the results of explicitly designing zoning systems for use with 1991 [U.K.] census data." PMID:12346252

  14. SOME ISSUES ON URBAN CENSUS GIS DESIGNING

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    This paper first briefly looks back on the history of census GIS aroun d the world,and then summarizes some preponderances of developing urban census GIS in China.And then a three-tier construction architecture for the urban censu s GIS is proposed.Finally,using the illustration of the census data of Guangz hou city,the paper analyzes and elaborates some issues on the urban census GIS d esigning,such as data management,data warehouse building,and data analysis.

  15. 75 FR 17835 - Census Day, 2010

    Science.gov (United States)

    2010-04-07

    ... new factories and businesses as our economy recovers. On Census Day, I urge all Americans to fulfill... is never used against them or shared with other government or private entities. By mailing the Census... America the two hundred and thirty-fourth. (Presidential Sig.) [FR Doc. 2010-8018 Filed 4-6-10; 8:45...

  16. 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...

  17. 78 FR 66681 - Census Advisory Committees

    Science.gov (United States)

    2013-11-06

    ... Populations (NAC). The committee will address census policies, research and methodology, tests, operations..., operations and programs. The NAC will meet in a plenary session on December 5-6, 2013. Last-minute changes to... approximately 1:45 p.m. ADDRESSES: The meeting will be held at the U.S. Census Bureau, 4600 Silver Hill...

  18. McKinley 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 75 FR 16078 - Census Scientific Advisory Committee

    Science.gov (United States)

    2010-03-31

    ... held at Hilton Crystal City Hotel, 2399 Jefferson Davis Highway, Arlington, Virginia 22202. FOR FURTHER INFORMATION CONTACT: Jeri Green, Committee Liaison Officer, Department of Commerce, U.S. Census Bureau,...

  7. Roosevelt 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. De Baca 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. 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...

  16. 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...

  17. 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...

  18. Dona Ana 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. 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...

  20. San Juan 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...

  1. 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...

  2. 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...

  3. Region 9 2010 Census Web Service

    Data.gov (United States)

    U.S. Environmental Protection Agency — This web service displays data collected during the 2010 U.S. Census. The data are organized into layers representing Tract, Block, and Block Group visualizations....

  4. Demographic Data - MO 2000 Census Geography (PDF)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Each county directory on the MSDIS FTP site has the official census tract & voting district outline maps in Adobe Acrobat (.pdf) format. These are stored in the...

  5. Dona Ana 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. Santa Fe 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. 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...

  17. 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...

  18. 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...

  19. 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...

  20. Using the New Racial Categories in the 2000 Census: A KIDS COUNT/PRB Report on Census 2000.

    Science.gov (United States)

    Lee, Sharon M.

    This report addresses issues that data users will face in using, interpreting, and presenting new data on race from the 2000 census, which allowed multiple racial responses. Changing how the census collects data on race is not new. Almost every census for the past 200 years has collected racial data differently than the previous census. New…

  1. Physical, optical, and chemical profile data from CTD casts collected from August 2005 to July 2012 from platforms Sever, Akademik Lavrentiev, and Professor Khromov in the Bering and Chukchi Seas in support of the Russian-American Long-term Census of the Arctic (RUSALCA) (NODC Accession 0125595)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — As part of the joint US-Russian RUSALCA (Russian US Long-term Census of the Arctic Ocean) Program, a team of US and Russian scientists undertook oceanographic...

  2. Demographic Data - Census_Blockgroups_TIGER00_IN: Indiana Census Blockgroups 2000 (U.S. Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Census_Blockgroups_TIGER00_IN contains locations for all Indiana blockgroups identified by the US Bureau of the Census. Data is from U.S. Department of Commerce,...

  3. Otero 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

  4. RSCCD Population and Participation, 1990 Census.

    Science.gov (United States)

    Russell, Suzi; And Others

    The enrollment patterns of residents of the Rancho Santiago Community College District (RSCCD) were evaluated by comparing data on students at Rancho Santiago College (RSC) to 1990 census information. For each city and zip code, the study analyzed ethnic distributions and participation rates. Populations over 18 years of age from zip codes and…

  5. Luna 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

  6. Guidelines for 1991 International Piping Plover Breeding Census

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Outlined in this document are basic guidelines and methodology for the 1991 breeding census (winter census details will be discussed at a joint meeting of Piping...

  7. 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...

  8. The Aggregate Dutch Historical Censuses. Harmonization and RDF

    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 (1795-1971).

  9. 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...

  10. 40th annual Reed rig census

    International Nuclear Information System (INIS)

    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

  11. 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.

  12. A Water Census of the United States

    Science.gov (United States)

    U.S. Geological Survey

    2007-01-01

    In 2007, the U.S. Geological Survey (USGS) developed a science strategy outlining the major natural science issues facing the Nation in the next decade. The science strategy consists of six science directions of critical importance, focusing on areas where natural science can make a substantial contribution to the well-being of the Nation and the world. This fact sheet focuses on the development of a water census of the United States, and how USGS research can strengthen the Nation with information needed to meet the challenges of the 21st century.

  13. The Mass Census for RESOLVE and ECO

    Science.gov (United States)

    Eckert, Kathleen D.; Kannappan, Sheila; Stark, David; Moffett, Amanda J.; Berlind, Andreas A.; Baker, Ashley; Lagos, Claudia; Norris, Mark A.; RESOLVE Team

    2016-01-01

    We quantify the stellar, baryonic, and dynamical mass census for galaxies and groups in the volume-limited RESOLVE and ECO surveys, which are complete for galaxies with baryonic mass >10^9 Msun. First, we present optimized methods of stellar and gas mass estimation based on newly reprocessed multi-wavelength imaging, deep fractional mass-limited 21cm data, and a probability density field approach to the photometric gas fractions technique. Second, we examine the stellar and baryonic mass functions for RESOLVE and ECO, including an analysis of how galaxy mass functions vary between distinct, physically motivated group halo mass regimes. These "conditional" mass functions display complex substructure suggesting that the galaxy population is shaped through satellite destruction and merging during the process of multiple-occupancy group formation. Third, we present the group-integrated stellar and baryonic mass functions and examine the cold baryon fraction of groups as a function of group halo mass. We find that group halo mass measurements based on abundance matching and dynamical mass estimates sometimes disagree, pointing to the existence of a wide range of cold baryon fractions in groups at intermediate halo mass. Finally, we provide a brief overview of RESOLVE's dynamical mass census, which relies on new 3D optical spectroscopy probing both stellar and gas kinematics. This work has been supported by the NSF through grants AST-0955368 and OCI-1156614, the NC Space Grant Graduate Research Fellowship Program, and a UNC Royster Society of Fellows Dissertation Completion Fellowship.

  14. Slovenia and the Census: From the 20. Century Yugoslav Counts to the Register-based Census of 2011

    Directory of Open Access Journals (Sweden)

    Damir Josipovič

    2015-12-01

    Full Text Available The article critically examines censuses in the Republic of Slovenia. Owing to its Yugoslav past, the censuses after 1945 have been closely scrutinized, and the common Yugoslav census methodology had a strong influence on the 1991 and 2002 censuses. The 1991 enumeration was carried out within the Yugoslav state; however the data processing and result publishing was done under the newly independent Slovenian state. The 2002 census was the last census to be carried out using classic door-to-door enumeration, since the 2011 census was completely register-based. The paper explores censuses in Slovenia since 1991, noting numerous changes and controversies. In 2002, in contrast to 1991, the applied definition of the resident population left out some 35,000 people working temporarily abroad. In addition, the 2002 census witnessed the highest ever number of ethnically non-affiliated respondents. An even bigger controversy was related to the erasure of some 30,000 people from the register of permanent residents for failing to apply for Slovenian citizenship after the break-up of Yugoslavia. The article also briefly reviews the difficulty in addressing the status of the constitutional national minorities and other unrecognized former Yugoslav nations in a situation in which specific data on their number, social and economic structure are no longer collected.

  15. Mid-Pliocene Planktic Foraminifer Census Data from Ocean Drilling Program Hole 847C

    Science.gov (United States)

    Dowsett, Harry; Caballero, Rocio

    2007-01-01

    Introduction The U.S. Geological Survey is conducting a long-term study of mid-Pliocene climatic and oceanographic conditions. One of the key elements of the study involves the use of quantitative composition of planktic foraminifer assemblages in conjunction with other proxies to constrain estimates of sea-surface temperature (SST) and to identify major oceanographic boundaries and water masses. Raw census data are made available as soon as possible after analysis through a series of reports that provide the basic data for future work. In this report we present raw census data (table 1) for planktic foraminifer assemblages in 25 samples from Ocean Drilling Program (ODP) Hole 847C. Ocean Drilling Program Hole 847C is located at 0.19?N., 95.32?W., in 3334.3 meters of water (fig. 1). A variety of statistical methods have been developed to transform foraminiferal census data in Pliocene sequences into quantitative estimates of Pliocene SST. Details of statistical techniques, taxonomic groupings, and oceanographic interpretations are presented in more formal publications (Dowsett and Poore, 1990, 1991; Dowsett, 1991, 2007; Dowsett and Robinson, 1998, 2007; Dowsett and others, 1996, 1999).

  16. Mid-Pliocene Planktic Foraminifer Census Data from Ocean Drilling Program Hole 1237C

    Science.gov (United States)

    Caballero, Rocio; Dowsett, Harry

    2008-01-01

    INTRODUCTION The U.S. Geological Survey is conducting a long-term study of mid-Pliocene climatic and oceanographic conditions. One of the key elements of the study involves the use of quantitative composition of planktic foraminifer assemblages in conjunction with other proxies to constrain estimates of sea-surface temperature (SST) and to identify major oceanographic boundaries and water masses. Raw census data are made available as soon as possible after analysis through a series of reports that provide the basic data for future work. In this report we present raw census data (table 1) for planktic foraminifer assemblages in 19 samples from Ocean Drilling Program (ODP) Hole 1237C. ODP Hole 1237C is located on the Peruvian margin at 16? 0.4216'S., 76? 22.6854'W., in 3211.9 meters of water (fig. 1). A variety of statistical methods have been developed to transform foraminiferal census data in Pliocene sequences into quantitative estimates of Pliocene SST. Details of statistical techniques, taxonomic groupings, and oceanographic interpretations are presented in more formal publications (Dowsett and Poore, 1990, 1991; Dowsett, 1991, 2007; Dowsett and Robinson, 1998, 2007; Dowsett and others, 1996, 1999).

  17. 76 FR 3081 - Proposed Information Collection; Comment Request; 2012 Economic Census Covering the Retail Trade...

    Science.gov (United States)

    2011-01-19

    ... Census Bureau Proposed Information Collection; Comment Request; 2012 Economic Census Covering the Retail... commitment during nondecennial census years. The 2012 Economic Census covering the Retail Trade and... Establishments in the Retail Trade and Accommodation and Food Services sectors of the economic census will...

  18. Progress toward a National Water Census

    Science.gov (United States)

    Jones, Sonya A.

    2015-01-01

    Increasing demand and competition for limited regional water resources make it difficult to ensure adequate water availability for both human and ecological needs now and into the future. Recognizing the need to improve the tools and information that are available to effectively evaluate water-resource availability, the U.S. Geological Survey (USGS) identified a National Water Census (NWC) as one of its six core science directions for the decade 2007–17. In 2009, the SECURE Water Act (Public Law 111–11) authorized the USGS to develop a national water availability and use assessment program that would update the most recent national assessment of the status of water resources in the United States as well as develop the science to improve forecasts of water availability and quality for future needs.

  19. Harmonizing Aggregate Historical Dutch Census Data: a Flexible Approach

    NARCIS (Netherlands)

    Ashkpour, A.; Meroño-Peñuela, A.; Mandemakers, Kees

    2016-01-01

    Historical censuses are the richest source of statistical data about a nation’s past. These censuses include valuable data about the population characteristics, housing information and socio-economic data. Not only are they taken consistently over time, in our case for almost two centuries, they als

  20. 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...

  1. 76 FR 12694 - The 2010 Census Count Question Resolution Program

    Science.gov (United States)

    2011-03-08

    ... (CQR) Program (75 FR 29508). This notice provides final information concerning the CQR Program. The CQR... FR 25908). The Census Bureau received one set of comments. The comments suggested additional... 1 data. The 2010 TIGER/Line File--The Census Bureau provides digital data in ESRI shapefile...

  2. 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...

  3. 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...

  4. Census Analysis: A Look at HCC Credit Students Based on the 1980 Census. Research Report Number 30.

    Science.gov (United States)

    Nespoli, Lawrence A.; Radcliffe, Susan K.

    A study was conducted by Howard Community College (HCC) to identify the geographic make-up of HCC credit students and to examine importance factors influencing college attendance. Using census software, data on 93.4% of HCC's 1980 credit students (N=4,013) were compared with 1980 census data on Howard County to determine participation rates for…

  5. 75 FR 16078 - Reestablishment of the Census Advisory Committee of Professional Associations

    Science.gov (United States)

    2010-03-31

    ... Bureau of the Census Reestablishment of the Census Advisory Committee of Professional Associations AGENCY... succeeds the Census Advisory Committee of Professional Associations (CACPA). The charter for the CACPA... behavioral sciences, Information Technology and computing, marketing and other fields of expertise,...

  6. 75 FR 81965 - Proposed Information Collection; Comment Request; Census Barriers, Attitudes, and Motivators...

    Science.gov (United States)

    2010-12-29

    ... Census Bureau Proposed Information Collection; Comment Request; Census Barriers, Attitudes, and... all elements of the campaign across audiences to ensure that the messaging resonated with the targeted communities. The Census Barriers, Attitudes, and Motivators Survey (CBAMS), formerly known as the...

  7. [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.

  8. 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...

  9. 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...

  10. Taos 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. Valencia 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. 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...

  17. Demographic Data - MO 2010 TIGER Census Tracts (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — 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. 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...

  19. Demographic Data - MO 2010 TIGER Census Places (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — 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. School Districts - MO 2010 TIGER Census Unified School Districts (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — 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. 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...

  2. Demographic Data - MO 2010 TIGER Census Blocks (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — 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. Hidalgo 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...

  4. 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...

  5. Government Districts, Other, Census Tracts, Published in 2002, Freelance.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Government Districts, Other dataset, was produced all or in part from Published Reports/Deeds information as of 2002. It is described as 'Census Tracts'. Data...

  6. Report on 1983 winter muskox census on Nunivak Island

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The 1983 winter ground census of muskox on Nunivak Island was completed between February 23 and 27, 1983. A total of 483 muskox were counted of which 364 were...

  7. Report on 1982 winter muskox census on Nunivak Island

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The 1982 winter ground census of muskox on Nunivak Island was completed between March 1, 1982 and March 4, 1982. A total of 506 muskox were counted of which 460...

  8. Torrance 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...

  9. Colfax 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...

  10. Curry 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...

  11. Cibola 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...

  12. Socorro 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...

  13. 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...

  14. 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...

  15. Sierra 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. Sandoval 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...

  17. Lea 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...

  18. Luna 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. Dona Ana 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...

  20. 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...

  1. De Baca 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...

  2. Otero 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...

  3. 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...

  4. Santa Fe 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. Harding 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...

  6. 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...

  7. Mora 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...

  8. San Juan 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...

  9. San Miguel 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...

  10. Lincoln 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...

  11. Roosevelt 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...

  12. 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...

  13. Agriculture Census of the United States - 2007 - Direct Download

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map layer portrays a selected set of information that was collected for the 2007 Census of Agriculture by the National Agricultural Statistics Service, U.S....

  14. Agriculture Census of the United States - 2002 - Direct Download

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map layer portrays a selected set of information that was collected for the 2002 Census of Agriculture by the National Agricultural Statistics Service, U.S....

  15. Developing Official Stochastic Population Forecasts at the US Census Bureau

    OpenAIRE

    Long, John F.; Hollmann, Frederick W.

    2004-01-01

    The U.S. Census Bureau is approaching a critical decision regarding a major facet of its methodology for forecasting the United States population. In the past, it has relied on alternative scenarios, low, medium, and high, to reflect varying interpretations of current trends in fertility, mortality, and international migration to forecast population. This approach has limitations that have been noted in the recent literature on population forecasting. Census Bureau researchers ...

  16. Fire fatalities among children: an analysis across Philadelphia's census tracts.

    OpenAIRE

    Shai, Donna; Lupinacci, Paul

    2003-01-01

    OBJECTIVE: This study investigates the possible causes of high levels of residential fire deaths to children younger than 15 years of age in Philadelphia from 1989 to 2000. METHODS: The authors analyzed 246 deaths from 146 residential fires by census tract in Philadelphia using both individual level data and aggregate level data drawn from the records of the Fire Marshall's Office. Death rates by age and sex were calculated using the 1990 Census. Data on fires from official records were combi...

  17. Coverage statistics for sequence census methods

    Directory of Open Access Journals (Sweden)

    Evans Steven N

    2010-08-01

    Full Text Available Abstract Background We study the statistical properties of fragment coverage in genome sequencing experiments. In an extension of the classic Lander-Waterman model, we consider the effect of the length distribution of fragments. We also introduce a coding of the shape of the coverage depth function as a tree and explain how this can be used to detect regions with anomalous coverage. This modeling perspective is especially germane to current high-throughput sequencing experiments, where both sample preparation protocols and sequencing technology particulars can affect fragment length distributions. Results Under the mild assumptions that fragment start sites are Poisson distributed and successive fragment lengths are independent and identically distributed, we observe that, regardless of fragment length distribution, the fragments produced in a sequencing experiment can be viewed as resulting from a two-dimensional spatial Poisson process. We then study the successive jumps of the coverage function, and show that they can be encoded as a random tree that is approximately a Galton-Watson tree with generation-dependent geometric offspring distributions whose parameters can be computed. Conclusions We extend standard analyses of shotgun sequencing that focus on coverage statistics at individual sites, and provide a null model for detecting deviations from random coverage in high-throughput sequence census based experiments. Our approach leads to explicit determinations of the null distributions of certain test statistics, while for others it greatly simplifies the approximation of their null distributions by simulation. Our focus on fragments also leads to a new approach to visualizing sequencing data that is of independent interest.

  18. Digit preference in Nigerian censuses data of 1991 and 2006

    Directory of Open Access Journals (Sweden)

    Tukur Dahiru

    2013-06-01

    Full Text Available Background: censuses in developing countries are prone to errors of age misreporting due to ignorance, low literacy levels and other social, economic and cultural factors. Ages are commonly rounded with great affinity for 0 or 5. This tendency to digit preference and/or avoidance results in age heaping or concentration of ages at certain digits. This study examined the extent of digit preference in the Nigerian census data of 1991 and 2006.Methods: this study utilized age data from the 1991 and 2006 Nigerian censuses reported in single years. The Whipple and Myers indices were used to determine the extent of digit preference.Results: both the 1991 and 2006 census data showed the expected pattern of errors, with Whipple and Myers indices being beyond acceptable levels. The Whipple index for 1991 and 2006 was 293 and 251 respectively, while the Myers index was 62.3 and 67.1 respectively. There was a strong preference for terminal digits 0 and 5, followed by 8 whereas terminal digits 1 and 9 were strongly avoided.Conclusions: the quality of age data in Nigerian census data is poor as a result of misreporting and no significant improvement or difference was observed between 1991 and 2006 censuses.

  19. 77 FR 13532 - Proposed Information Collection; Comment Request; 2012 National Census Test

    Science.gov (United States)

    2012-03-07

    ... Census Bureau Proposed Information Collection; Comment Request; 2012 National Census Test AGENCY: U.S... INFORMATION: I. Abstract The Census Bureau must conduct a series of research projects and tests throughout... Decennial Census questionnaire on the Internet. One of the first tests to support this planning effort...

  20. The Child Population: First Data from the 2000 Census. A Kids Count/PRB Report on Census 2000.

    Science.gov (United States)

    O'Hare, William P.

    This report provides an overview of American children based on the first data released from the 2000 Census. Overall, at 72.3 million in 2000, the number of children recorded in the 2000 Census was the largest in U.S. history. There was a substantial increase in the number of children during the 1990s as the under-18 population grew 8.7 million…

  1. Demographic Data - CENSUS_BLCKGRPS_TIGER00_POPDENS_IN: Indiana Population Density 2000 (U.S. Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — CENSUS_BLCKGRPS_TIGER00_POPDENS_IN contains populaton densities calculated for all Indiana blockgroups identified by the US Bureau of the Census. Data is from U.S....

  2. The impact of technological change on census taking.

    Science.gov (United States)

    Brackstone, G J

    1984-01-01

    The increasing costs of traditional census collection methods have forced census administrators to look at the possibility of using administrative record systems in order to obtain population data. This article looks at the recent technological developments which have taken place in the last decade, and how they may affect data collection for the 1990 census. Because it is important to allow sufficient developmental and testing time of potential automated methods and technologies, it is not too soon to look at the trends resulting from technological advances and their implications for census data collection. These trends are: 1) the declining ratio of computing costs to manpower costs; 2) the increasing ratio of power and capacity of computers to their physical size; 3) declining data storage costs; 4) the increasing public acceptance of computers; 5) the increasing workforce familiarity with computers; and 6) the growing interactive computing capacity. Traditional use of computers for government data gathering operations were primarily for the processing stage. Now the possibility of applying these trends to census material may influence all aspects of the process; from questionnaire design and production, to data analysis. Examples include: the production of high quality maps for geographic frameworks, optical readers for data entry, the ability to provide users with a final data base, as well as printed output, and quicker dissemination of data results. Although these options exist, just like the use of administrative records for statistical purposes, they must be carefully analysed in context to the purposes for which they were created. The limitations of using administrative records for the and 2) definition, coverage, and quality limitations could bias statistical data derived from them. Perhaps they should be used as potential complementary sources of data, and not as replacements for census data. Influencing the evolution of these administrative records

  3. 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.

  4. Mid-Pliocene Planktic Foraminifer Census Data and Alkenone Unsaturation Indices from Ocean Drilling Program Hole 677A

    Science.gov (United States)

    Robinson, Marci; Caballero, Rocio; Pohlman, Emily; Herbert, Timothy; Peck, Victoria; Dowsett, Harry

    2008-01-01

    The U.S. Geological Survey is conducting a long-term study of mid-Pliocene climatic and oceanographic conditions. One of the key elements of the study involves the use of quantitative composition of planktic foraminifer assemblages in conjunction with other proxies to constrain estimates of sea-surface temperature (SST) and to identify major oceanographic boundaries and water masses. Raw census data are made available as soon as possible after analysis through a series of reports that provide the basic data for future work. In this report we present raw census data (table 1) for planktic foraminifer assemblages in 14 samples from Ocean Drilling Program (ODP) Hole 677A. We also present alkenone unsaturation index (UK'37) analyses for 89 samples from ODP Hole 677A (table 2). ODP Hole 677A is located in the Panama basin, due west of Ecuador at 1?12.138'N., 83?44.220'W., in 3461.2 meters of water (fig. 1). A variety of statistical methods have been developed to transform foraminiferal census data in Pliocene sequences into quantitative estimates of Pliocene SST. Details of statistical techniques, taxonomic groupings, and oceanographic interpretations are presented in more formal publications (Dowsett and Poore, 1990, 1991; Dowsett, 1991, 2007a,b; Dowsett and Robinson, 1998, 2007; Dowsett and others, 1996, 1999).

  5. Census of Marine Zooplankton CmarZ Information

    NARCIS (Netherlands)

    A.C. Pierrot-Bults; A. Bucklin

    2005-01-01

    The Census of Marine Zooplankton (CMarZ) will work toward a taxonomically comprehensive assessment of biodiversity of animal plankton throughout the world ocean. The project goal is to produce accurate and complete information on zooplankton species diversity, biomass, biogeographic distribution, ge

  6. Who's in the Picture: Comparing Census Data with Newspaper Coverage

    Science.gov (United States)

    Hill, Myleea D.

    2016-01-01

    Discussions of what images are portrayed in newspapers and their proportion in comparison to the actual census data provide an opportunity for consideration of how the agenda setting and framing theories of media could affect perceptions of a community and population. In the exercise described here, students are expected to learn a research skill…

  7. Agricultural Census 2012: Publishing Mashable GIS Big Data Services

    Science.gov (United States)

    Mueller, R.

    2014-12-01

    The 2012 Agricultural Census was released by the US Department of Agriculture (USDA) on May 2nd 2014; published on a quinquennial basis covering all facets of American production agriculture. The Agricultural Census is a comprehensive source of uniform published agricultural data for every state and county in the US. This is the first Agricultural Census that is disseminated with web mapping services using REST APIs. USDA developed an open GIS mashable web portal that depicts over 250 maps on Crops and Plants, Economics, Farms, Livestock and Animals, and Operators. These mapping services written in JavaScript replace the traditional static maps published as the Ag Atlas. Web users can now visualize, interact, query, and download the Agricultural Census data in a means not previously discoverable. Stakeholders will now be able to leverage this data for activities such as community planning, agribusiness location suitability analytics, availability of loans/funds, service center locations and staffing, and farm programs and policies. Additional sites serving compatible mashable USDA Big Data web services are as follows: The Food Environment Atlas, The Atlas of Rural and Small-Town America, The Farm Program Atlas, SNAP Data System, CropScape, and VegScape. All portals use a similar data organization scheme of "Categories" and "Maps" providing interactive mashable web services for agricultural stakeholders to exploit.

  8. 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...

  9. 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...

  10. 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.

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. TIGER/Line Shapefile, 2010, 2010 state, Nevada, 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, 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...

  19. 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...

  20. 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...

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 77 FR 54557 - Notice of Intent To Suspend the 2012 Census of Agriculture Content Testing

    Science.gov (United States)

    2012-09-05

    ... content tests to evaluate factors impacting the census program: questionnaire format and design, new items... methodology such as edit and summary. With the 2012 Census of Agriculture questionnaires being finalized,...

  8. Census Bureau Planned Acquisition: Remotely sensed satellite and/or aerial imagery

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The Census Bureau seeks to obtain access to remotely sensed data such as high-resolution satellite and/or aerial imagery to update the boundaries, streets,...

  9. 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.

  10. Social Vulnerability Index (SoVI) for Florida 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 Florida census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  11. 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.

  12. 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.

  13. TIGER/Line Shapefile, 2010, 2010 state, Maine, 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, 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...

  15. TIGER/Line Shapefile, 2010, 2010 state, Florida, 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, Arkansas, 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. Social Vulnerability Index (SoVI) for California 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 California census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  18. 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.

  19. 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.

  20. 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....

  1. 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...

  2. 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.

  3. 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...

  4. 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...

  5. 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...

  6. TIGER/Line Shapefile, 2010, 2010 state, Pennsylvania, 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. 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.

  8. TIGER/Line Shapefile, 2010, 2010 state, Louisiana, 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. 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.

  10. Social Vulnerability Index (SoVI) for Minnesota 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 Minnesota census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  11. 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.

  12. 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.

  13. 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...

  14. 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.

  15. 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.

  16. 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.

  17. 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...

  18. 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...

  19. 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...

  20. 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.

  1. 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.

  2. 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.

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. Social Vulnerability Index (SoVI) for North 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 North Carolina census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. TIGER/Line Shapefile, 2010, 2010 state, Oklahoma, 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. New Mexico 2000 Census 3-Digit ZIP Code Tabulation Area (ZCTA3)

    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...

  14. 2012 mule deer and white-tailed deer census and population density estimate : Rocky Mountain Arsenal National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Report on the 2012 deer census survey at Rocky Mountain Arsenal National Wildlife Refuge. Census methods and survey results are discussed. A combination of census...

  15. Children in Puerto Rico: Results from the 2000 Census. A KIDS COUNT/PRB Report on Census 2000.

    Science.gov (United States)

    Mather, Mark

    This report provides data on children in Puerto Rico based on the 2000 U.S. Census. It compares the situation of Puerto Rico's children with that of children living in the 50 states and the District of Columbia, noting how characteristics of Puerto Rican children have changed over time. Between 1990-2000, the number of Puerto Rican children…

  16. American Indian and Alaska Native Children in the 2000 Census. A Kids Count/PRB Report on Census, 2000.

    Science.gov (United States)

    Snipp, C. Matthew

    Because of their unique social, legal, and political status, American Indians and Alaska Natives are subject to legislative oversight unlike any other group in the United States. Census data are used to monitor the size and characteristics of the American Indian and Alaska Native population living on and off reservations. Passed in 1978 to ensure…

  17. Children in American Samoa: Results of the 2000 Census. A KIDS COUNT/PRB Report on Census 2000.

    Science.gov (United States)

    Annie E. Casey Foundation, Baltimore, MD.

    Using 2000 U.S. Census data, this report compares the situation of children in American Samoa to children's situations in neighboring territories and the nation overall. Between 1999-2000, the number of children in American Samoa increased 24 percent, while the increase was only 14 percent nationwide during the past decade. In 2000, 45 percent of…

  18. Census Data: Geographic Significance and Classroom Utility. NCGE Pacesetters in Geography Series. No. 2.

    Science.gov (United States)

    Dent, Bordon D., Ed.

    The volume contains essays and classroom activities on a variety of U. S. and Canadian census materials. Designed to present census data in a less formidable manner than it is usually presented, it is intended for social studies teachers and college professors who want to introduce census materials in their classrooms. Essays treat various…

  19. 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....

  20. 77 FR 50082 - Notice of Opportunity To Submit Content Request for the 2013 Census of Aquaculture

    Science.gov (United States)

    2012-08-20

    ... Census of Aquaculture AGENCY: National Agricultural Statistics Service, Department of Agriculture. ACTION... currently accepting stakeholder feedback in the form of content requests for the 2013 Census of Aquaculture..., (202) 720-4333. SUPPLEMENTARY INFORMATION: The results of the 2005 Census of Aquaculture were...

  1. 76 FR 14647 - Proposed Information Collection; Comment Request; 2012 Economic Census Covering the Mining Sector

    Science.gov (United States)

    2011-03-17

    ... the general public. The 2012 Economic Census covering the Mining Sector (as defined by the North... the following conditions: (i) It must be classified in the mining sector; (ii) it must be an active.... Census Bureau Proposed Information Collection; Comment Request; 2012 Economic Census Covering the...

  2. Supporting Mongolian pastoralists by using GIS to identify grazing limitations and opportunities from livestock census and remote sensing data

    DEFF Research Database (Denmark)

    Rasmussen, Michael Schultz; James, Robert; Adiyasuren, Ts.;

    1999-01-01

    Mongolian pastoralists, GIS, grazing limitations, livestock census, remote sensing, range management......Mongolian pastoralists, GIS, grazing limitations, livestock census, remote sensing, range management...

  3. Microcomputers and minipopulations: the 1981 Cook Islands census.

    Science.gov (United States)

    Hayes, G R

    1983-01-01

    This paper presents some of the background behind the installation and use of a microcomputer for census processing and briefly reviews the results of the 1981 census in the light of the Cook Islands' special demographic situation. Since independence from New Zealand in 1965, the Cook Islands has gradually developed a capacity for statistics gathering in general and census taking in particular. The 1981 quinquennial census represents a watershed in the development of local personnel without the aid of external advisors; it was the 1st census to be processed within the Cook Islands by means of a computer. Both the installation of the microcomputer and the processing of the 1981 census are counted as successes. This is due to a number of factors, namely: a long period of careful planning procedures which preceded the choice of system and installation; the enthusiasm of the local staff closely involved in the planning; the emphasis on training; tests of the equipment before installation by computer practitioners with knowledge of local needs and capacities; reasonable goal setting; and the supply, with the system, of adequate spare parts tools and maintenance and training manuals. Like many island populations, that of the Cook Islands is characterized by considerable instability as illustrated by the 1981 census results. As the rate and direction of population change varies from island to island, generalizations across the nation as a whole are difficult. For example, while some of the northern atolls experienced population decline during the latest intercensal period, most had their popultion increase in 1981. All the southern islands declined during the 1976-81 period at annual rates varying from 0.6% to 3.2%. The explanation for these patterns of change lies primarily in the different rates and direction of external migration on each island, as Cook Islanders are exempt from immigration regulations to New Zealand and Australia. In recent years, women have formed a

  4. FARM OPERATIONS FACING DEVELOPMENT: RESULTS FROM THE CENSUS LONGITUDINAL FILE

    OpenAIRE

    Hoppe, Robert A.; Korb, Penelope J.

    2001-01-01

    This paper examines farms in areas undergoing development, using a longitudinal file constructed by linking several agricultural censuses. Individual farms are followed over the 1982-97 period. Survival, exit, and entrance rates are presented for three types of farms: recreational, adaptive, and traditional. The three types of farms are located where one would expect. Traditional farms are concentrated in nonmetropolitan (nonmetro) counties, while adaptive farms are concentrated in metro core...

  5. The generation of spatial population distributions from census centroid data

    OpenAIRE

    I Bracken; Martin, D.

    1989-01-01

    Census data are commonly used in geographical analysis and to inform planning purposes, though at the disaggregate level the basis of enumeration poses difficulties. In this paper an approach to surface generation is described that offers the prospect of revealing an underlying population distribution from centroid-based data which is independent of zonal geography. It is suggested that this can serve a wide variety of analytical, cartographic, and policy purposes, including the creation of s...

  6. Stereo matching based on census transformation of image gradients

    Science.gov (United States)

    Stentoumis, C.; Grammatikopoulos, L.; Kalisperakis, I.; Karras, G.; Petsa, E.

    2015-05-01

    Although multiple-view matching provides certain significant advantages regarding accuracy, occlusion handling and radiometric fidelity, stereo-matching remains indispensable for a variety of applications; these involve cases when image acquisition requires fixed geometry and limited number of images or speed. Such instances include robotics, autonomous navigation, reconstruction from a limited number of aerial/satellite images, industrial inspection and augmented reality through smart-phones. As a consequence, stereo-matching is a continuously evolving research field with growing variety of applicable scenarios. In this work a novel multi-purpose cost for stereo-matching is proposed, based on census transformation on image gradients and evaluated within a local matching scheme. It is demonstrated that when the census transformation is applied on gradients the invariance of the cost function to changes in illumination (non-linear) is significantly strengthened. The calculated cost values are aggregated through adaptive support regions, based both on cross-skeletons and basic rectangular windows. The matching algorithm is tuned for the parameters in each case. The described matching cost has been evaluated on the Middlebury stereo-vision 2006 datasets, which include changes in illumination and exposure. The tests verify that the census transformation on image gradients indeed results in a more robust cost function, regardless of aggregation strategy.

  7. [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.

  8. 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...

  9. Report on the 1980/81 angling census in the Sanyati Gorge, Lake Kariba

    OpenAIRE

    Langerman, J.D.

    1981-01-01

    The angling census carried out in the Sanyati Gorge, August 1980 - March 1981, is reported. The results are compared to those obtained in the 1973 census. The objectives of the census were: 1) to determine the extent of angling mortality on tigerfish (Hydrocynus vittatus) thereby quantifying this previously neglected component of total mortality; and 2) to assess the economic importance of tigerfish to the recreational fishery on Lake Kariba.

  10. Linkage of the 1981 and 1991 UK Censuses using surface modelling concepts

    OpenAIRE

    I Bracken; Martin, D.

    1995-01-01

    The potential for socioeconomic analysis by a comparison of 1981 and 1991 UK Censuses of Population data is very considerable. Spatial analysts have begun to exploit the new opportunities provided by the broadly comparable two sets of Small Area Statistics with the advantages of computerised access. However, the integration of 1981 and 1991 data is far from straightforward because of changes in census geography and definitions, in the administration of the census, and in the format and nature...

  11. Censusing marine eukaryotic diversity in the twenty-first century.

    Science.gov (United States)

    Leray, Matthieu; Knowlton, Nancy

    2016-09-01

    The ocean constitutes one of the vastest and richest biomes on our planet. Most recent estimations, all based on indirect approaches, suggest that there are millions of marine eukaryotic species. Moreover, a large majority of these are small (less than 1 mm), cryptic and still unknown to science. However, this knowledge gap, caused by the lack of diagnostic morphological features in small organisms and the limited sampling of the global ocean, is currently being filled, thanks to new DNA-based approaches. The molecular technique of PCR amplification of homologous gene regions combined with high-throughput sequencing, routinely used to census unculturable prokaryotes, is now also being used to characterize whole communities of marine eukaryotes. Here, we review how this methodological advancement has helped to better quantify the magnitude and patterns of marine eukaryotic diversity, with an emphasis on taxonomic groups previously largely overlooked. We then discuss obstacles remaining to achieve a global understanding of marine eukaryotic diversity. In particular, we argue that 18S variable regions do not provide sufficient taxonomic resolution to census marine life, and suggest combining broad eukaryotic surveys targeting the 18S rRNA region with more taxon-focused analyses of hypervariable regions to improve our understanding of the diversity of species, the functional units of marine ecosystems.This article is part of the themed issue 'From DNA barcodes to biomes'. PMID:27481783

  12. Censusing marine eukaryotic diversity in the twenty-first century.

    Science.gov (United States)

    Leray, Matthieu; Knowlton, Nancy

    2016-09-01

    The ocean constitutes one of the vastest and richest biomes on our planet. Most recent estimations, all based on indirect approaches, suggest that there are millions of marine eukaryotic species. Moreover, a large majority of these are small (less than 1 mm), cryptic and still unknown to science. However, this knowledge gap, caused by the lack of diagnostic morphological features in small organisms and the limited sampling of the global ocean, is currently being filled, thanks to new DNA-based approaches. The molecular technique of PCR amplification of homologous gene regions combined with high-throughput sequencing, routinely used to census unculturable prokaryotes, is now also being used to characterize whole communities of marine eukaryotes. Here, we review how this methodological advancement has helped to better quantify the magnitude and patterns of marine eukaryotic diversity, with an emphasis on taxonomic groups previously largely overlooked. We then discuss obstacles remaining to achieve a global understanding of marine eukaryotic diversity. In particular, we argue that 18S variable regions do not provide sufficient taxonomic resolution to census marine life, and suggest combining broad eukaryotic surveys targeting the 18S rRNA region with more taxon-focused analyses of hypervariable regions to improve our understanding of the diversity of species, the functional units of marine ecosystems.This article is part of the themed issue 'From DNA barcodes to biomes'.

  13. Texture-Aware Dense Image Matching Using Ternary Census Transform

    Science.gov (United States)

    Hu, Han; Chen, Chongtai; Wu, Bo; Yang, Xiaoxia; Zhu, Qing; Ding, Yulin

    2016-06-01

    Textureless and geometric discontinuities are major problems in state-of-the-art dense image matching methods, as they can cause visually significant noise and the loss of sharp features. Binary census transform is one of the best matching cost methods but in textureless areas, where the intensity values are similar, it suffers from small random noises. Global optimization for disparity computation is inherently sensitive to parameter tuning in complex urban scenes, and must compromise between smoothness and discontinuities. The aim of this study is to provide a method to overcome these issues in dense image matching, by extending the industry proven Semi-Global Matching through 1) developing a ternary census transform, which takes three outputs in a single order comparison and encodes the results in two bits rather than one, and also 2) by using texture-information to self-tune the parameters, which both preserves sharp edges and enforces smoothness when necessary. Experimental results using various datasets from different platforms have shown that the visual qualities of the triangulated point clouds in urban areas can be largely improved by these proposed methods.

  14. Declining average daily census. Part 2: Possible solutions.

    Science.gov (United States)

    Weil, T P

    1986-01-01

    Several possible solutions are available to hospitals experiencing a declining average daily census, including: Closure of some U.S. hospitals; Joint ventures between physicians and hospitals; Development of integrated and coordinated medical-fiscal-management information systems; Improvements in the hospital's short-term marketing strategy; Reduction of the facility's internal operation expenses; Vertical more than horizontal diversification to develop a multilevel (acute through home care) regional health care system with an alternative health care payment system that is a joint venture with the medical staff(s); Acquisition or management by a not-for-profit or investor-owned multihospital system (emphasis on horizontal versus vertical integration). Many reasons exist for an institution to choose the solution of developing a regional multilevel health care system rather than being part of a large, geographically scattered, multihospital system. Geographic proximity, lenders' preferences, service integration, management recruitment, and local remedies to a declining census all favor the regional system. More answers lie in emphasizing the basics of health care regionalization and focusing on vertical integration, including a prepayment plan, rather than stressing large multihospital systems with institutions in several states or selling out to the investor-owned groups.

  15. Random Seas

    DEFF Research Database (Denmark)

    Liu, Z.; Frigaard, Peter

    Sea waves are the most important phenomenon to be considering in the design of coastal and offshore structures.......Sea waves are the most important phenomenon to be considering in the design of coastal and offshore structures....

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

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — 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. Agriculture Facilities - AGRICULTURE_CENSUS_1997_IN: Agriculture Census of Indiana 1997 (U.S. Geological Survey, 1:2,000,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — USGS National Atlas metadata states "This data set portrays the National Agricultural Statistics Service, U.S. Department of Agriculture's 1997 Census data for the...

  18. Census techniques for seabirds of Arctic and Eastern Canada

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Describes a monitoring system sufficiently sensitive to detect real population changes in bird numbers, both at sea and at breeding colonies, be developed to...

  19. A New Sample of Americans Linked from the 1850 Public Use Micro Sampleofthe Federal Census of Population to the1860 Federal Census Manuscript Sched.

    OpenAIRE

    Joseph P. Ferrie

    1995-01-01

    Though the geographic, occupational, and financial mobility of average Americans were important aspects of nineteenth century U.S. economic development, the extent and correlates of this economic mobility have remained open to debate in the absence of individual- level longitudinal data. This essay describes a new sample of 4,837 individuals linked from the 1850 Public Use Micro Sample of the federal census of population to the 1860 federal census manuscript schedules, using the new national ...

  20. Ethnic diversity of the population of Vojvodina: The 2002 census

    Directory of Open Access Journals (Sweden)

    Raduški Nada

    2006-01-01

    Full Text Available This article presents the ethnic structure of the population of Vojvodina according to the 2002 census results. Also, there are analyzed the ethnodemographic changes in the period 1991-2002, caused by the following relevant factors: natural movement, migration and changed declaration on national affiliation. Ethnocentric migrations (voluntary and forced primarily influenced the change of ethnic structure of the Vojvodina, in the sense of creating a nationally more homogeneous region, having in mind the national structure of refugee-population. On the other hand, the emigration of some other nationalities which migrated to their mother countries due to political and economic reasons influenced the ethnic structure of the population, too. On the whole, the ethnic picture of Vojvodina is a complex one and undergoing changes continuously. Having in mind that Vojvodina is a multiethnic and multiconfessional region, the question of minorities and interethnic relations is undoubtedly of great significance for the stability and demographic development of this region.

  1. China's Wealth: First National Economic Census

    Institute of Scientific and Technical Information of China (English)

    LUOYUANJUN

    2005-01-01

    ""When I first arrived in Beijing, I felt China was already a developed country."" This was American traveler Bob's first impression of China. But as he found out,first impressions aren't always true. ""When I saw western China, I got confused; the economic situation there is completely different from that of the capital.I really wonder what the true state of the Chinese economy is."" Bob is not alone.The Chinese economy has become the subject of much global debate. In 2004, the Chinese central government carried out a national economic census covering Chinese business and industry.Its aim was to collect a comprehensive range of accurate economic data in order to get a clearer picture of the country's economic make-up.

  2. Movements of grey mullet Liza aurata and Chelon labrosus associated with coastal fish farms in the western Mediterranean Sea

    OpenAIRE

    P. ARECHAVALA-LOPEZ; Uglem, Ingebrigt; Sanchez-Jerez, P.; Fernandez-Jover, D.; Bayle-Sempere, J. T.; Nilsen, Rune

    2010-01-01

    Grey mullet occur in abundance around sea bream and sea bass farms where they forage on waste fish feed, a behaviour that could modify their natural movement pattern and distribution. In this study, we used visual census to record grey mullet aggregations at fish farms in the western Mediterranean Sea. We also mapped the movements of 2 species (Liza aurata and Chelon labrosus) between farms and adjacent coastal fishing areas, using acoustic telemetry. Grey mullet were frequently observed in t...

  3. The Census of Marine Life on Seamounts: results from a global science program

    Science.gov (United States)

    Stocks, K.; Clark, M.; Rowden, A.; Consalvey, M.

    2010-12-01

    CenSeam (a Global Census of Marine Life on Seamounts) is a network of more than 500 scientists, policy makers and conservationists around the world. These participants are collaborating to increase our understanding of the factors driving seamount community composition and diversity, such that we can better understand and manage the effects of human activities. The major scientific outcomes of the CenSeam community include the findings that 1) Seamount community composition is often similar to surrounding habitats; however, community structure can be different. 2) Contrary to conventional wisdom, few seamounts follow island biogeography predictions. 3) Seamounts can support a higher benthic biomass than surrounding habitats. 4) Seamounts can support species and communities new to science, and represent range extensions for known species, which are being described from CenSeam voyages. 5) For the first time, the extent of the vulnerability and risk to seamount benthic communities from fishing has been quantified. 6) Whilst long assumed, CenSeam researchers have demonstrated that seamount communities are disturbed by fishing and are slow to recover. And 7) Seamounts might act as repositories of biodiversity during future periods of extreme environmental change, as they have likely done in the past. The major products of Censeam include 1) a book synthesizing seamount knowledge: Seamounts: Ecology, Fisheries and Conservation (from Blackwell Publishing); 2) a recent review of the structure and function of seamount benthic communities, human impacts, and seamount management and conservation (Ann Rev Mar Sci); 3) hundreds of scientific publications, including Special Issues in Marine Ecology and Oceanography (in collaboration with the Seamount Biogeogsciences Network), and a Special Collection in PLoSONE; 4) guidance documents and formal advising for seamount management communities, including the United Nations Environment Program, International Seabed Authority

  4. [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

  5. New Mexico Census Tracts, Age by 5-Year Age Groups for Both Sexes Combined (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...

  6. 76 FR 13981 - Proposed Information Collection; Comment Request; 2012 Economic Census Covering the Construction...

    Science.gov (United States)

    2011-03-15

    ... Construction Sector AGENCY: U.S. Census Bureau. ACTION: Notice. SUMMARY: The Department of Commerce, as part of... the general public. The 2012 Economic Census covering the Construction Sector (as defined by the North... construction activity by special trade contractors. The information collected from businesses in this sector...

  7. 76 FR 3609 - Proposed Information Collection; Comment Request; Census in Schools and Partnership Program Research

    Science.gov (United States)

    2011-01-20

    ... parents in returning the 2010 Census forms. The Census Bureau distributed materials, including promotional brochures, take- home materials, fact sheets, lesson plans, maps, quick start teaching guides, and other... the types of materials Federal statistical agencies could provide to be most helpful with regards...

  8. Census of Institutional Repositories in the United States: MIRACLE Project Research Findings. CLIR Publication No. 140

    Science.gov (United States)

    Markey, Karen; Rieh, Soo Young; St. Jean, Beth; Kim, Jihyun; Yakel, Elizabeth

    2007-01-01

    In this report, the authors describe results of a nationwide census of institutional repositories in U.S. academic institutions. The census is one of several activities of the MIRACLE Project, an Institute of Museum and Library Services (IMLS)-funded research program based at the University of Michigan. The acronym MIRACLE means "Making…

  9. The Demand-Supply Theory of Incomes Tested by 1970 Census Figures

    NARCIS (Netherlands)

    J. Tinbergen (Jan)

    1976-01-01

    textabstractThis article examines the demand-supply theory of incomes tested by the 1970 U.S. census figures. Contrary to previous U.S. population censuses, the 1970 volumes include one in which, for a large of occupational groups, tables are published showing earnings by education classes and age g

  10. The impact of a major televised sporting event on emergency department census.

    Science.gov (United States)

    Reich, N T; Moscati, R; Jehle, D; Ciotoli, M

    1994-01-01

    This study examines the effect of a major televised sporting event, the Super Bowl, on emergency department (ED) census. Daily patient census figures for the month of January 1988-1992 were obtained. Individual shift census was divided by monthly mean census to compare relative volume. Census figures for 4 of the 5 Super Bowl days were significantly lower than the remaining 143 days studied. The day of the Super Bowl was the month's slowest shift for 3 of the 5 days. When the local team was a playoff participant, a stronger association was noted. The results demonstrate a significant decrease in ED utilization coinciding with the Super Bowl broadcast. Major televised events can significantly decrease ED volume, especially when local interest is present. Staffing changes may then be made accordingly.

  11. TIGER/Line Shapefile, 2013, county, Prince of Wales-Hyder Census Area, AK, Current Address Ranges Relationship File

    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...

  12. TIGER/Line Shapefile, 2013, county, Hoonah-Angoon Census Area, AK, Current Address Ranges Relationship File

    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. 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. On the Challenge of Interpreting Census Data: Insights from a Study of an Endangered Pinniped.

    Science.gov (United States)

    Trillmich, Fritz; Meise, Kristine; Kalberer, Stephanie; Mueller, Birte; Piedrahita, Paolo; Pörschmann, Ulrich; Wolf, Jochen B W; Krüger, Oliver

    2016-01-01

    Population monitoring is vital for conservation and management. However, simple counts of animals can be misleading and this problem is exacerbated in seals (pinnipeds) where individuals spend much time foraging away from colonies. We analyzed a 13-year-series of census data of Galapagos sea lions (Zalophus wollebaeki) from the colony of Caamaño, an islet in the center of the Galapagos archipelago where a large proportion of animals was individually marked. Based on regular resighting efforts during the cold, reproductive (cold-R; August to January) and the warm, non-reproductive (warm-nR; February to May) season, we document changes in numbers for different sex and age classes. During the cold-R season the number of adults increased as the number of newborn pups increased. Numbers were larger in the morning and evening than around mid-day and not significantly influenced by tide levels. More adults frequented the colony during the warm-nR season than the cold-R season. Raw counts suggested a decline in numbers over the 13 years, but Lincoln-Petersen (LP-) estimates (assuming a closed population) did not support that conclusion. Raw counts and LP estimates were not significantly correlated, demonstrating the overwhelming importance of variability in attendance patterns of individuals. The probability of observing a given adult in the colony varied between 16% (mean for cold-R season) and 23% (warm-nR season) and may be much less for independent 2 to 4 year olds. Dependent juveniles (up to the age of about 2 years) are observed much more frequently ashore (35% during the cold-R and 50% during the warm-nR seasons). Simple counts underestimate real population size by a factor of 4-6 and may lead to erroneous conclusions about trends in population size.

  15. On the Challenge of Interpreting Census Data: Insights from a Study of an Endangered Pinniped.

    Directory of Open Access Journals (Sweden)

    Fritz Trillmich

    Full Text Available Population monitoring is vital for conservation and management. However, simple counts of animals can be misleading and this problem is exacerbated in seals (pinnipeds where individuals spend much time foraging away from colonies. We analyzed a 13-year-series of census data of Galapagos sea lions (Zalophus wollebaeki from the colony of Caamaño, an islet in the center of the Galapagos archipelago where a large proportion of animals was individually marked. Based on regular resighting efforts during the cold, reproductive (cold-R; August to January and the warm, non-reproductive (warm-nR; February to May season, we document changes in numbers for different sex and age classes. During the cold-R season the number of adults increased as the number of newborn pups increased. Numbers were larger in the morning and evening than around mid-day and not significantly influenced by tide levels. More adults frequented the colony during the warm-nR season than the cold-R season. Raw counts suggested a decline in numbers over the 13 years, but Lincoln-Petersen (LP- estimates (assuming a closed population did not support that conclusion. Raw counts and LP estimates were not significantly correlated, demonstrating the overwhelming importance of variability in attendance patterns of individuals. The probability of observing a given adult in the colony varied between 16% (mean for cold-R season and 23% (warm-nR season and may be much less for independent 2 to 4 year olds. Dependent juveniles (up to the age of about 2 years are observed much more frequently ashore (35% during the cold-R and 50% during the warm-nR seasons. Simple counts underestimate real population size by a factor of 4-6 and may lead to erroneous conclusions about trends in population size.

  16. 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.

  17. A Century of Census Tracts: Health & the Body Politic (1906–2006)

    OpenAIRE

    Krieger, Nancy

    2006-01-01

    In 2006, the U.S. celebrates the 100th birthday of the census tract. These geographic units, born out of concerns for urban well-being, were first proposed in 1906 to provide a “convenient and scientific city map system” for the City of New York. They were employed for the first time in the U.S. census in 1910 in eight cities, via a joint effort involving the U.S. Census Bureau and state and local health departments. Initially termed “sanitary areas” because of their relevance to planning for...

  18. A Stellar Census of the Tucana-Horologium Moving Group

    CERN Document Server

    Kraus, Adam L; Allers, Katelyn N; Liu, Michael C

    2014-01-01

    We report the selection and spectroscopic confirmation of 129 new late-type (K3-M6) members of the Tuc-Hor moving group, a nearby (~40 pc), young (~40 Myr) population of comoving stars. We also report observations for 13/17 known Tuc-Hor members in this spectral type range, and that 62 additional candidates are likely to be unassociated field stars; the confirmation frequency for new candidates is therefore 129/191 = 67%. We have used RVs, Halpha emission, and Li6708 absorption to distinguish contaminants and bona fide members. Our expanded census of Tuc-Hor increases the known population by a factor of ~3 in total and by a factor of ~8 for members with SpT>K3, but even so, the K-M dwarf population of Tuc-Hor is still markedly incomplete. The spatial distribution of members appears to trace a 2D sheet, with a broad distribution in X and Y, but a very narrow distribution (+/-5 pc) in Z. The corresponding velocity distribution is very small, with a scatter of +/-1.1 km/s about the mean UVW velocity. We also sho...

  19. Census-linked Study on Ethnic Fertility Differentials in Lithuania

    Directory of Open Access Journals (Sweden)

    Aiva Jasilioniene

    2014-12-01

    Full Text Available Fertility transformations observed since the early 1990s and their determinants have been rather thoroughly investigated in Lithuania. There are fairly numerous national and international studies devoted to this topic, mainly based on survey data. However, none of these studies looks into the effect of ethnicity on fertility. It is, to a large extent, caused by limitations of sample survey data. This study demonstrates potentials of census-linked fertility data to estimate robust and nationally representative parity-specific period fertility measures by ethnicity. The findings of this first systematic study of ethnicity-specific fertility differentials in Lithuania indicate that ethnicity does matter for fertility even in such ethnically homogenous country as Lithuania. Fertility among Lithuanians is higher than in the other ethnic groups, especially among Russians. Lower fertility in the Russian ethnic group is mainly explained by differences in the risk of having the second child. Importantly, this disadvantage remains significant even after controlling for selected compositional characteristics including urban-rural place of residence and education. The approach used in this study may be applied for Latvia and Estonia, where national minorities constitute substantial shares of the entire populations and significantly contribute to overall fertility levels.

  20. CENSUS OF BLUE STARS IN SDSS DR8

    Energy Technology Data Exchange (ETDEWEB)

    Scibelli, Samantha [Burnt Hills-Ballston Lake High School, 88 Lake Hill Road, Ballston, NY 12027 (United States); Newberg, Heidi Jo; Carlin, Jeffrey L. [Department of Physics, Applied Physics and Astronomy, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180 (United States); Yanny, Brian, E-mail: heidi@rpi.edu [Experimental Astrophysics Group, Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510 (United States)

    2015-01-01

    We present a census of the 12,060 spectra of blue objects ((g – r){sub 0} < –0.25) in the Sloan Digital Sky Survey (SDSS) Data Release 8 (DR8). As part of the data release, all of the spectra were cross-correlated with 48 template spectra of stars, galaxies, and QSOs to determine the best match. We compared the blue spectra by eye to the templates assigned in SDSS DR8. 10,856 of the objects matched their assigned template, 170 could not be classified due to low signal-to-noise ratio, and 1034 were given new classifications. We identify 7458 DA white dwarfs, 1145 DB white dwarfs, 273 rarer white dwarfs (including carbon, DZ, DQ, and magnetic), 294 subdwarf O stars, 648 subdwarf B stars, 679 blue horizontal branch stars, 1026 blue stragglers, 13 cataclysmic variables, 129 white dwarf-M dwarf binaries, 36 objects with spectra similar to DO white dwarfs, 179, quasi-stellar objects (QSOs), and 10 galaxies. We provide two tables of these objects, sample spectra that match the templates, figures showing all of the spectra that were grouped by eye, and diagnostic plots that show the positions, colors, apparent magnitudes, proper motions, etc., for each classification. Future surveys will be able to use templates similar to stars in each of the classes we identify to automatically classify blue stars, including rare types.

  1. Census in a rural area of Ethiopia: methodology and results.

    Science.gov (United States)

    Materia, E; Mehari, W; Mele, A; Rosmini, F; Stazi, M A; Damen, H M; Basile, G; Kifle, T; Miuccio, G; Ferrigno, L

    1993-01-01

    A census and an ecologic survey were performed in 39 villages of a rural district of Arsi Region, Ethiopia, in difficult field circumstances. Information on age, ethnic group, education and family relationship, as well as data on health facilities and availability of basic services were collected. Supervised students, working in teams, were used as interviewers. Communities were involved through plenary meetings and community health agents participated in the data collection process. A total of 64,714 people in 12,152 households were registered. The repeatability of age assessment was investigated by comparing the results from two villages with data obtained in a pilot study carried out 6 months earlier. The technical error was only 0.80 and 1.67 in the 0-5 and 6-15 age-groups, respectively. Three percent of the total population was under one year, less than previously estimated. This may, in part, be due to the family planning programme in the region. Eighteen percent of the households were headed by females. School attendance was less common among females and in the Oromo ethnic group. The availability of basic services, including safe water and basic sanitation supplies, was very poor in the area.

  2. Census taking in the hat: FRW/CFT duality

    International Nuclear Information System (INIS)

    In this paper a holographic description of eternal inflation is developed. We focus on the description of an open Friedmann-Robertson-Walker (FRW) universe that results from a tunneling event in which a false vacuum with positive vacuum energy decays to a supersymmetric vacuum with vanishing cosmological constant. The observations of a 'census taker' in the final vacuum can be organized into a holographic dual conformal field theory that lives on the asymptotic boundary of space. We refer to this bulk-boundary correspondence as FRW/CFT duality. The dual conformal field theory (CFT) is a Euclidean two-dimensional theory that includes a Liouville 2D gravity sector describing geometric fluctuations of the boundary. The renormalization-group flow of the theory is richer than in the AdS/CFT correspondence, and generates two space-time dimensions--one spacelike and one timelike. We discuss a number of phenomena such as bubble collisions, and the Garriga, Guth Vilenkin 'persistence of memory', from the dual viewpoint.

  3. A census of nuclear cyanobacterial recruits in the plant kingdom.

    Directory of Open Access Journals (Sweden)

    Szabolcs Makai

    Full Text Available The plastids and mitochondria of the eukaryotic cell are of endosymbiotic origin. These events occurred ~2 billion years ago and produced significant changes in the genomes of the host and the endosymbiont. Previous studies demonstrated that the invasion of land affected plastids and mitochondria differently and that the paths of mitochondrial integration differed between animals and plants. Other studies examined the reasons why a set of proteins remained encoded in the organelles and were not transferred to the nuclear genome. However, our understanding of the functional relations of the transferred genes is insufficient. In this paper, we report a high-throughput phylogenetic analysis to identify genes of cyanobacterial origin for plants of different levels of complexity: Arabidopsis thaliana, Chlamydomonas reinhardtii, Physcomitrella patens, Populus trichocarpa, Selaginella moellendorffii, Sorghum bicolor, Oryza sativa, and Ostreococcus tauri. Thus, a census of cyanobacterial gene recruits and a study of their function are presented to better understand the functional aspects of plastid symbiogenesis. From algae to angiosperms, the GO terms demonstrated a gradual expansion over functionally related genes in the nuclear genome, beginning with genes related to thylakoids and photosynthesis, followed by genes involved in metabolism, and finally with regulation-related genes, primarily in angiosperms. The results demonstrate that DNA is supplied to the nuclear genome on a permanent basis with no regard to function, and only what is needed is kept, which thereby expands on the GO space along the related genes.

  4. Census of blue stars in SDSS DR8

    CERN Document Server

    Scibelli, Samantha; Carlin, Jeffrey L; Yanny, Brian

    2014-01-01

    We present a census of the 12,060 spectra of blue objects ($(g-r)_0<-0.25$) in the Sloan Digital Sky Survey (SDSS) Data Release 8 (DR8). As part of the data release, all of the spectra were cross-correlated with 48 template spectra of stars, galaxies and QSOs to determine the best match. We compared the blue spectra by eye to the templates assigned in SDSS DR8. 10,856 of the objects matched their assigned template, 170 could not be classified due to low signal-to-noise (S/N), and 1034 were given new classifications. We identify 7458 DA white dwarfs, 1145 DB white dwarfs, 273 rarer white dwarfs (including carbon, DZ, DQ, and magnetic), 294 subdwarf O stars, 648 subdwarf B stars, 679 blue horizontal branch stars, 1026 blue stragglers, 13 cataclysmic variables, 129 white dwarf - M dwarf binaries, 36 objects with spectra similar to DO white dwarfs, 179 QSOs, and 10 galaxies. We provide two tables of these objects, sample spectra that match the templates, figures showing all of the spectra that were grouped by ...

  5. American Indian Tribal Subdivision Areas for Cibola County, New Mexico, 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  6. Current Census Blocks for Socorro County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  7. 2000 Census Voting Precincts for Quay County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  8. 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...

  9. Demographic Data - P.L. 94-171 Reference Maps (2010 Census)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Public Law (P.L.) 94-171, enacted in 1975, directs the U.S. Census Bureau to make special preparations to provide redistricting data needed by the 50 states. It...

  10. 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...

  11. 75 FR 52173 - Proposed Urban Area Criteria for the 2010 Census

    Science.gov (United States)

    2010-08-24

    ... classifications. I. History Over the course of a century in defining urban areas, the Census Bureau has introduced... (GIS) and spatial data processing to classify urban and rural territory on a more consistent...

  12. 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...

  13. 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...

  14. Political Township and Incorporated City Boundaries in Iowa in 2010 as Derived from Census Datasets

    Data.gov (United States)

    Iowa State University GIS Support and Research Facility — Political Township and Incorporated City Boundaries in Iowa in 2010, as Derived from Census Datasets Original Abstract: The TIGER/Line Files are shapefiles and...

  15. Poverty Rate (defined by U.S. Census) by California Regions, 2000-2010

    Data.gov (United States)

    U.S. Department of Health & Human Services — The poverty rate (US Census-defined) table contains data on the percentage of the total population living below the poverty level, percentage of children living...

  16. 2000 Census Public Use Microdata Area (PUMA) 5% for Cibola County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  17. 2000 Census Public Use Microdata Area (PUMA) 5% for Luna County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  18. 2000 Census Public Use Microdata Area (PUMA) 5% for Sandoval County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  19. 2000 Census Public Use Microdata Area (PUMA) 1% for Cibola County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  20. 2000 Census Public Use Microdata Area (PUMA) 1% for Valencia County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  1. 2000 Census Public Use Microdata Area (PUMA) 5% for Lincoln County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  2. 2000 Census Public Use Microdata Area (PUMA) 5% for Quay County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  3. 2000 Census Public Use Microdata Area (PUMA) 5% for Roosevelt County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  4. 2000 Census Public Use Microdata Area (PUMA) 5% for Catron County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  5. 2000 Census Public Use Microdata Area (PUMA) 5% for Curry County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  6. 2000 Census Public Use Microdata Area (PUMA) 1% for Taos County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  7. 2000 Census Public Use Microdata Area (PUMA) 5% for Sierra County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  8. 2000 Census Public Use Microdata Area (PUMA) 1% for Hidalgo County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  9. 2000 Census Public Use Microdata Area (PUMA) 5% for Chaves County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  10. 2000 Census Public Use Microdata Area (PUMA) 1% for Torrance County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  11. 2000 Census Public Use Microdata Area (PUMA) 1% for Harding County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  12. 2000 Census Public Use Microdata Area (PUMA) 5% for Colfax County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  13. 2000 Census Public Use Microdata Area (PUMA) 1% for Bernalillo County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  14. 2000 Census Public Use Microdata Area (PUMA) 1% for Luna County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  15. 2000 Census Public Use Microdata Area (PUMA) 1% for Eddy County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  16. 2000 Census Public Use Microdata Area (PUMA) 5% for Valencia County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  17. 2000 Census Public Use Microdata Area (PUMA) 1% for Lea County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  18. 2000 Census Public Use Microdata Area (PUMA) 5% for Socorro County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  19. 2000 Census Public Use Microdata Area (PUMA) 1% for Chaves County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  20. 2000 Census Public Use Microdata Area (PUMA) 1% for Union County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  1. 2000 Census Public Use Microdata Area (PUMA) 5% for Bernalillo County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  2. 2000 Census Public Use Microdata Area (PUMA) 5% for Otero County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  3. 2000 Census Public Use Microdata Area (PUMA) 5% for Hidalgo County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  4. 2000 Census Public Use Microdata Area (PUMA) 1% for Lincoln County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  5. 2000 Census Public Use Microdata Area (PUMA) 1% for Catron County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  6. 2000 Census Public Use Microdata Area (PUMA) 1% for Sierra County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  7. 2000 Census Public Use Microdata Area (PUMA) 1% for Quay County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  8. 2000 Census Public Use Microdata Area (PUMA) 1% for Roosevelt County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  9. 2000 Census Public Use Microdata Area (PUMA) 1% for Mora County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  10. 2000 Census Public Use Microdata Area (PUMA) 1% for Colfax County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  11. 2000 Census Public Use Microdata Area (PUMA) 5% for Mora County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  12. 2000 Census Public Use Microdata Area (PUMA) 1% for Socorro County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  13. 2000 Census Public Use Microdata Area (PUMA) 5% for Grant County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  14. 2000 Census Public Use Microdata Area (PUMA) 1% for Guadalupe County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  15. 2000 Census Public Use Microdata Area (PUMA) 1% for Grant County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  16. 2000 Census Public Use Microdata Area (PUMA) 5% for Harding County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  17. 2000 Census Public Use Microdata Area (PUMA) 5% for Guadalupe County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  18. 2000 Census Public Use Microdata Area (PUMA) 5% for Eddy County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  19. 2000 Census Public Use Microdata Area (PUMA) 5% for Taos County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  20. 2000 Census Public Use Microdata Area (PUMA) 1% for Otero County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  1. 2000 Census Public Use Microdata Area (PUMA) 1% for Sandoval County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  2. 2000 Census Public Use Microdata Area (PUMA) 1% for Curry County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  3. 2000 Census Public Use Microdata Area (PUMA) 5% for Union County, New Mexico, 2006se TIGER

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  4. New Mexico, 2010 Census State Legislative District (SLD) Upper Chamber 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...

  5. New Mexico, 2010 Census State Legislative District (SLD) Lower Chamber 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...

  6. EnviroAtlas - Green Bay, 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...

  7. Potential Environmental Justice (EJ) areas in Region 2 based on 2000 Census [EPA.EJAREAS_2000

    Data.gov (United States)

    U.S. Environmental Protection Agency — Potential Environmental Justice (EJ) areas in Region 2 . This dataset was derived from 2000 census data and based on the criteria setforth in the Region 2 Interim...

  8. American Indian/ Alaska Native Area/ Hawaiian Homeland Areas for Rio Arriba County, New Mexico, 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  9. American Indian Tribal Subdivision Areas for Bernalillo County, New Mexico, 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  10. American Indian/ Alaska Native Area/ Hawaiian Homeland Areas for San Juan County, New Mexico, 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  11. American Indian/ Alaska Native Area/ Hawaiian Homeland Areas for Sandoval County, New Mexico, 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  12. American Indian/ Alaska Native Area/ Hawaiian Homeland Areas for Lincoln County, New Mexico, 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  13. American Indian/ Alaska Native Area/ Hawaiian Homeland Areas for Socorro County, New Mexico, 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  14. American Indian/ Alaska Native Area/ Hawaiian Homeland Areas for Valencia County, New Mexico, 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  15. American Indian/ Alaska Native Area/ Hawaiian Homeland Areas for Catron County, New Mexico, 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  16. American Indian/ Alaska Native Area/ Hawaiian Homeland Areas for Cibola County, New Mexico, 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  17. American Indian Tribal Subdivision Areas for Sandoval County, New Mexico, 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  18. American Indian Tribal Subdivision Areas for San Juan County, New Mexico, 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  19. American Indian Tribal Subdivision Areas for Rio Arriba County, New Mexico, 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...

  20. American Indian Tribal Subdivision Areas for Socorro County, New Mexico, 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage...