Population Estimates Sample Clauses

Population Estimates. The population estimates of the sex- and race-specific, as well as sex- and ethnicity/race-specific groups in five-year age categories, were used as denominators in the formulation of rates.2 These population estimates of Illinois for all races, whites, blacks and Asian/other races from 1986 through 2012, and for Hispanics, non-Hispanics, non-Hispanic white and non-Hispanic black for 1990 through 2012 were obtained from both the intercensal and Vintage 2013 bridged-race post censal population estimates files. Population estimates by age, sex, race and Hispanic origin were produced by the U.S. Bureau of Census Population Estimates Program (xxxx://xxx.xxxxxx.xxx/popest/index.html), in collaboration with the National Center for Health Statistics, and with support from the National Cancer Institute (NCI) through an interagency agreement. The population estimates incorporate intercensal (for 2000‐2009) and Vintage 2013 (for 2010‐2012) bridged single‐race estimates are derived from the original multiple race categories in the 2000 census (as specified in the 1997 Office of Management and Budget standards for the collection of data on race and ethnicity xxxx://xxx.xxxxxxxxxx.xxx/omb/inforeg_statpolicy). The bridged single‐race estimates and a description of the methodology used to develop them appear on the National Center for Health Statistics website (xxxx://xxx.xxx.xxx/nchs/nvss/bridged_race.htm). The intercensal estimates provide an adjustment of previous population estimates based on the actual 2010 census results (xxxx://xxx.xxxxxx.xxx/popest/methodology/2013-natstcopr-meth.pdf).3,4 Previous estimates utilized prior to the availability of the 2010 census data were prone to increased error as the time from the actual 2000 census increased. At the national level, estimates using both the 2000 census and the 2010 census are not very different from the previous estimates. However, there are more significant differences at the state and county levels that may result in changes to cancer incidence rates when one compares this report to earlier versions. Changes in rates also could be attributable to the addition of cases reported late. DEFINITIONS Cancer Site Coding for Incidence Data: Although the anatomic site and morphology for cancer cases diagnosed prior to 2001 were coded using the International Classification of Diseases for Oncology version 2 (ICD-O-2)5 and for cancer cases diagnosed in 2001 through 2009, the version 3 (ICD-O-3),6 all ICD-O-2 coded cases ...
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Population Estimates. The population estimates of the sex- and race-specific, as well as sex- and ethnicity/race-specific groups in five-year age categories, were used as denominators in the formulation of rates. These population estimates of Illinois for all races, Whites, Blacks, and Asian/other races from 1986 through 2021, and for Hispanics, non-Hispanics, non-Hispanic White, and non-Hispanic Black for 1990 through 2021 were obtained from both the intercensal and Vintage 2020 bridged-race postcensal population estimates files. Some population estimates were calculated by Xxxxx & Xxxxx Economics, Inc. for the National Cancer Institute (NCI) released before the U. S. Bureau of Census Population Estimates Program (xxxx://xxx.xxxxxx.xxx/programs-surveys/popest.html) scheduled to be released in fall 2024 (U.S. County Population Data 1969-2022 - SEER Population Data (xxxxxx.xxx)).1 The population estimates incorporate intercensal (for 2000-2009 from Census Bureau and 2010-2019 from Xxxxx & Poole) and Vintage 2020 (for 2020-2021) bridged-race estimates are derived from the original multiple race categories in 2000, 2010, and 2020 censuses (as specified in the 1997 Office of Management and Budget standards for the collection of data on race and ethnicity). The bridged single- race estimates, and a description of the methodology used to develop them, appear on the National Center for Health Statistics website (xxxx://xxx.xxx.xxx/nchs/nvss/bridged_race.htm). For more information on the modifications to county population categorized for each decade, visit xxxxx://xxxx.xxxxxx.xxx/popdata/modifications.html. The intercensal estimates from Xxxxx & Xxxxx Economics align with the anticipated U.S. Census Bureau’s 2010-2019 intercensal estimates methodology (xxxxx://xxx0.xxxxxx.xxx/programs- surveys/popest/technical-documentation/methodology/intercensal/2000-2010- intercensal-estimates- methodology.pdf ) (Xxxxx & Xxxxx Economics, Inc.2010-2020 County Intercensal Estimates (xxxxxx.xxx)).1,2 Previous estimates utilized before the availability of the 2010 census data were prone to increased error as the time from the actual 2000 census increased. At the national level, estimates using both the 2000 census and the 2010 census are not very different from the previous estimates. However, there are more significant differences at the state and county levels that may result in changes to cancer incidence rates when one compares this report to earlier versions. Changes in rates also could be attribut...
Population Estimates. Status‌ We are unaware of any information regarding population size estimates for any Sonorella or Oreohelix, and such information would be difficult to acquire considering the life history of these land snails. However, observations and counts of Sonorella and Oreohelix during surveys appear to depend on local moisture conditions (Xxxxxxxx and Xxxxxxxx 2016). The CA partners will use AGFD’s survey protocol for land snails (AGFD 2016f) and the Pinaleño Land Snail Monitoring Program (PLSWG 2017) to document CA-covered species distributions and population status through timed searches and counts of snails and shells encountered. The timed counts provide an index of relative abundance (expressed as Catch-Per-Unit-Effort estimates) for each population surveyed. Talussnails appear locally abundant with fluctuations in their relative abundance dependent upon moisture conditions during the surveys. For example, in August 2001, AGFD biologists observed over 112 live talussnails in the Wet Canyon drainage, and over 27 live talussnails in Twilight Canyon and a nearby unnamed drainage during a survey in wet, humid weather (Xxxxx et al. 2002). In September 2002, AGFD and USFS biologists observed 41 live talussnails in Wet Canyon, also under wet, humid weather. No live talussnails were observed during surveys conducted in May 2002 and 2003, October 2005, and November 2006 under in drier conditions and no recent rains. All other surveys during wet, summer monsoon weather over the past decade had found live or active land snails. These surveys were not exhaustive in effort from year to year, and search time was estimated in the earlier surveys (Xxxxxxxx and Xxxxxxxx 2016). Based on observations from AGFD surveys in 2005 and 2016, Pinaleño talussnail habitat in the Heliograph Peak area did not appear to be degraded. Because so little is known of the habitat requirements of this snail, changes in the environment could be detrimental as well as beneficial. Therefore, more research is required. Xxxxxx et al. (2010) believe the species has declined and its current population may be limited to about a 10 km2 area. According to Xxxxxxx (1990), since 1954 it has been observed that mimic talussnail is becoming more common over the range previously inhabited by Pinaleño talussnail. The reasons for this are unknown at this time (AGFD 2016c). The relative abundance of Xxxxx Peak talussnail is currently unknown (AGFD 2016d), although Xxxxxxx (1990) had documented at least five distin...
Population Estimates. 5.1 Absolute abundance The bottlenose dolphin population usually is considered as the smallest in comparison with other cetacean populations in the Black Sea (Silantyev, 1903; Xxxxxx, 1940; Xxxxxxxxxxx, 1956; Xxxxxxx et al., 1976). In the 20th century the population has been reduced by mass direct killing managed for the dolphin-processing industry, however total number of taken animals remains unknown. Until now, there are no reliable scientific data on this population abundance. The estimates carried out in the former USSR in 1967-1974 (Xxxxxx and Xxxxxxxx, 1974) and in Turkey in 1987 (Xxxxxxxxx et al., 1989) were discredited by the IWC Scientific Committee due to methodological blunders committed in observation schemes and statistic interpretation (Xxxxx, 1982; Xxxxxxxxx, 1991; Xxxxxxxx et al., 1992; IWC, 1992). The later Soviet estimates, which were produced in 1975-1993 (Xxxxxxxx et al., 1978; Xxxxxx et al., 1986; Xxxxxxx et al., 1990; Xxxxxxxx, 1996 a; Xxxxxx and Xxxxxx, 1997) and not yet reviewed by the IWC Scientific Committee, demonstrate similar mistakes, namely the incorrect survey design and erroneous data treatment. Therefore, existent figures on absolute abundance of Black Sea bottlenose dolphin population (Table 3) have mainly historical significance (as published notes of how it was done), but cannot be recommended as the basic data for further comparisons and conclusions. Table 3 – Estimated absolute abundance of Black Sea bottlenose dolphin population Period Abundance (no. of animals) Reference Early 20th century 30,000-50,000 Bushuyev (2000) 1967-1974 85,000 IWC (1992) after Xxxxxx and Xxxxxxxx (1974) 1973 31,000 Xxxxxx (1975) 1976 56,000 Mikhalev et al. (1978) July 1983 < 5,000-10,000 after Xxxxxx et al. (1986)* April and July 1987 67,257 after Xxxxxxxxx et al. (1989)** 1985-1987 7,000±3,000 Sokolov et al. (1990); Xxxxxx and Xxxxxx (1997) * Between 55,000 and 60,000 cetaceans, including nearly 50,000 common dolphins (Delphinus delphis), were estimated for the entire Black Sea area. Consequently, the overall number of bottlenose dolphins and harbour porpoises did not exceed 5,000-10,000 animals. ** A total of 454,440 individuals was estimated for all three Black Sea cetacean populations (D. delphis,
Population Estimates. Population estimates are determined by the Nevada State Demographer and reported via the Nevada Department of Taxation’s most recent “Certified Population of Nevada Counties, Cities and Towns” document.
Population Estimates. Within six months from the effective date of the Cooperative Agreement, Colorado will provide to the Governance Committee an estimate by the Colorado State Demographer of the population of those portions of the following Colorado counties located within the South Platte River Basin, as of the effective date of the Cooperative Agreement, in the following regions:
Population Estimates. Without an accurate estimate of population size it is not possible to determine the sustainability of current harvest levels as these two aspects are interdependent. Population estimates are usually based on surveys undertaken during the non-breeding season, or more rarely during the breeding season and only occasionally during the migration period. It is important that the season when a population estimation will be undertaken is agreed and an adequate sampling regime is implemented in all countries that encompass the seasonal range. One of the key factors in determining when surveys for a population estimation shall take place is the period when the population is distinct from other populations (i.e. populations that are delineated based on distinct breeding ranges are best monitored at the breeding grounds and populations delineated based on wintering ranges are best monitored at the wintering grounds). In some cases, counts during migration (at very restricted stop-over sites) might be more practical than surveys on either the breeding or the wintering grounds. Figure 1 provides an overview of the main methods that can be used for waterbird monitoring. For non-breeding birds, the International Waterbird Census (IWC) is used to estimate the population sizes of most waterbirds through the collation of data from national waterbird monitoring schemes. The extent to which the IWC can currently be used to estimate population sizes depends on the coverage of wetlands by the observer network, and its utility is different for different populations. Certain waterbird species whose populations are defined based on winter distribution cannot be well monitored during the general IWC counts because they use wetlands only for roosting (e.g. geese and swans) and spend most of the day on agricultural areas. These species can be either counted when flying in to or out from the roost by experienced observers positioned in a way around the roost so that most birds can be counted. Alternatively, special counting areas can be monitored on the feeding areas. Land based monitoring of sea ducks also usually underestimates their numbers and special aerial or ship-based surveys based on sound sampling design are needed (Komdeur et al. 1992). Aerial surveys are also the most reliable method to monitor waterbirds on large floodplains and semi-arid regions with ephemeral waterbodies in Africa where waterbird distribution is highly dependent on the extent of floods and local rainfal...
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Related to Population Estimates

  • Cost Estimates If this Agreement pertains to the design of a public works project, CONSULTANT shall submit estimates of probable construction costs at each phase of design submittal. If the total estimated construction cost at any submittal exceeds ten percent (10%) of CITY’s stated construction budget, CONSULTANT shall make recommendations to CITY for aligning the PROJECT design with the budget, incorporate CITY approved recommendations, and revise the design to meet the Project budget, at no additional cost to CITY.

  • Population The Population shall be defined as all Paid Claims during the 12-month period covered by the Claims Review.

  • Target Population The Grantee shall ensure that diversion programs and services provided under this grant are designed to serve juvenile offenders who are at risk of commitment to Department.

  • Estimates and Reconciliation of Estimates Where estimated expenditures are used to determine the amount of the drawdown, the State will indicate in the terms of the State unique funding technique how the estimated amount is determined and when and how the State will reconcile the difference between the estimate and the State's actual expenditures.

  • Cost Estimating The Model may be used to develop cost estimates based on the approximate data provided and conceptual estimating techniques (e.g., volume and quantity of elements or type of system selected).

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