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NOTE: Data were collected in March of each year and are based on sample surveys of the noninstitutionalized population, which excludes persons living in institutions (e.g., prisons or nursing facilities); data include military personnel who live in households with civilians, but exclude those who live in military barracks. High school completion includes those who graduated from high school with a diploma as well as those who completed high school through equivalency programs, such as a GED program. Caution should be used when comparing 2021 estimates to those of prior years due to the impact that the coronavirus pandemic had on interviewing and response rates in 2021. For additional information about the impact of the coronavirus pandemic on the Current Population Survey data collection, please see -surveys/cps/techdocs/cpsmar21.pdf.. Although rounded numbers are displayed, the figures are based on unrounded data.
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The World Population Dashboard showcases global population data, including fertility rate, gender parity in school enrolment, information on sexual and reproductive health, and much more. Together, these data shine a light on the health and rights of people around the world, especially women and young people. The numbers here come from UNFPA and fellow UN agencies, and are updated annually.
This is a list of countries and other inhabited territories of the world by total population, based on estimates published by the United Nations in the 2022 revision of World Population Prospects. These figures refer to the de facto population in a country or area as shown in the "estimates" section.
VA released VetPop 2020 which is VA's new official estimate and projection of the Veteran population. It revises and replaces the estimate and projection in VetPop2018. Based on data through September 30, 2020, VetPop2020 provides a projection of the Veteran population at each fiscal year end from 2020 to 2050. For a general overview please refer to to the document VetPop2020 A Brief Description.
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Of these 80 apps, most smart phone users have use 9 apps per day on average and 30 apps per month. So while new apps are not downloaded as often as they once were, the average user still has a decent number of apps already vying for their attention.
Not only are social apps the most frequently downloaded, but they are also where smartphone users are spending the biggest chunk of their time (50% of total usage time, to be exact). In second place are video and entertainment apps, like Netflix and TikTok, coming in at 21% of total usage time. As App Annie reports, the lines are beginning to blur between social apps and entertainment apps as new generations turn to them for similar purposes.
Exercising and mental wellness are other at-home areas that more consumers started exploring when the pandemic forced the closure of gyms and sporting facilities. According to Sensor Tower, health and fitness app downloads are up 47% year-over-year. App Annie detailed the surge of at-home fitness apps during the pandemic. Here are some of the most popular apps.
The growth rates for the Aboriginal identity population for the periods 2011 to 2016 and 2006 to 2016 have been adjusted for incompletely enumerated Indian reserves and Indian settlements, and other changes in reserves to allow for comparison of the different census year periods.
Standard populations, often referred to as standard millions, are the age distributions used as weights to create age-adjusted statistics. Files containing standard population data for use in statistical software are available below. These contain the same data distributed with the SEER*Stat software. SEER also provides U.S. Population Data which can be used for analyses with SEER*Stat or other software. Starting with the November 2004 SEER submission of data (diagnoses through 2002), the SEER Program age-adjusts using the 2000 U.S. standard population based on single years of age from the Census P25-1130 (PDF)1 series estimates of the 2000 U.S. population. For the 5-year age groups, the single year of age populations are summarized from the five single-year of age populations. See 2000 U.S. Standard Population vs. Standard Million for more discussion. Standard Population Files The standard population data files contain the following data: U.S. Standards (1940, 1950, 1960, 1970, 1980, 1990, 2000) Canadian Standards (1991, 1996, 2011) European (Scandinavian 1960) Standard2 European (EU-27 plus EFTA 2011-2030) Standard World (Segi 1960) Standard2 World (WHO 2000-2025) Standard2 View the Standard Populations Standard Populations - 19 Age Groups (0, 1-4, 5-9, 10-14, ..., 85+) Standard Populations - Single Ages (2000 U.S., World (WHO 2000-2025), and Canadian 2011 standards only) Download the Data Files (.txt format) File format information is provided in the Standard Population Data Dictionary.
WHEREAS, it is important for the State to prioritize the needs of our aging population with a positive focus and to engage the public and those who serve older citizens in a meaningful planning process;
The largest statistically significant decline was in the SOX6_AGTR1 DA population, while clusters CALB1_GEM and CALB1_TRHR were proportionally increased (Fig. 3b). These proportional changes were robust to differences in absolute numbers of DA neurons sampled per cluster (Supplementary Fig. 1a), clinical diagnosis (Supplementary Fig. 1b) and library quality (Supplementary Fig. 1c,d). We further developed a metric to visualize disease-associated enrichment or depletion within the low-dimensional embedding of jointly analyzed cell profiles, identifying a gradient of susceptibility (Fig. 3c and Methods) that correlated with the expression of AGTR1 and ORs from mixed-effects association of single cells (MASC) (Fig. 3c).
Our snRNA-seq analysis of SNpc DA neurons provides a comprehensive taxonomy of these critically important cells in humans. Our map will help guide bulk transcriptomic studies of PD in localization of disease-associated signals to specific human DA subtypes. Further, DA subtype definitions will allow the refinement of in vitro DA neuron differentiation protocols, which could prove useful in genetic screens of neuronal susceptibility53,54 and the testing of candidate therapeutic molecules. Interestingly, although nine of our ten populations showed homology to rodent DA populations, one cluster of cells, CALB1_GEM, was found only in our snRNA-seq data from macaque and human and not from mouse, rat or tree shrew. We localized CALB1_GEM cells exclusively to the dorsal tier of the SNpc, which is known to be expanded in primates relative to rodents26,27. Indeed, primate dorsal tier neurons have previously been shown to make atypical projections directly to cortex26,27. The possibility that the molecularly distinct CALB1_GEM population is responsible for these projections is intriguing, but will need to be verified directly in nonhuman primate (NHP) models.
Our identification of TFs whose activity is up- or downregulated, as nominated by our enrichment of targets in our differential expression, specifically within the vulnerable SOX6_AGTR1 population implicates specific cellular pathways in the process of DA neuron death in PD. The TF encoded by NR2F2, for example, has previously been shown to promote mitochondrial dysfunction in several disease models, including those of heart failure58 and PD52. Upregulation of the TF encoded by TP53 provides a link to other neurodegenerative diseases, such as amyotrophic lateral sclerosis, in which TP53 has been implicated in motor neuron death59,60,61,62. Cross-disorder integrative analyses may reveal conserved molecular processes that are prime candidates for therapeutic intervention.
To nominate potential nuclear TFs for flow-based enrichment, we used a recently published comprehensive survey of the mouse brain22. We downloaded midbrain data and performed differential expression between DA neurons and all other cell types using a Wilcoxon rank-sum test from the presto package ( ). We intersected our list with a list of mouse TFs and determined AUC values.
All processed data, UMAP coordinates and annotations have been made freely available to download and inspect at the Broad Institute Single Cell Portal (note, two links, one for single-nucleus data and the other for Slide-seq data): _cell/study/SCP1768/ and _cell/study/SCP1769/. Raw and processed data to support the findings of this study have been deposited in GEO under accession no. GSE178265. For TF analysis, the TRRUST 2019, Encode and CHEA Consensus and ARCHS4 TF-coexpression public datasets were used. All are available for download via the enrichR website:
Climate is just one of many important factors that influence the transmission, distribution, and incidence of Lyme disease. Other factors that affect the number of Lyme disease cases include changes in the populations of host species (particularly deer), which affect tick population size. The percentage of ticks that are infected depends on the prevalence and infection rates of white-footed mice and certain other hosts. Host species populations and habitats can be affected by climate change and other ecosystem disturbances. Human exposure to infected ticks is also influenced by factors such as changes in the proximity of human populations to ticks and other hosts, increased awareness of Lyme disease, an