It is presumed that the first humans migrated from Siberia to North America approximately twelve thousand years ago, where they then moved southwards to warmer lands. It was not until many centuries later that humans returned to the north and began to settle regions that are now part of Canada. Despite a few short-lived Viking settlements on Newfoundland around the turn of the first millennium CE, the Italian explorer Giovanni Caboto (John Cabot), became the first European to explore the coast of North America in the late 1400s. The French and British crowns both made claims to areas of Canada throughout the sixteenth century, but real colonization and settlement did not begin until the early seventeenth century. Over the next 150 years, France and Britain competed to take control of the booming fur and fishing trade, and to expand their overseas empires. In the Seven Year's War, Britain eventually defeated the French colonists in North America, through superior numbers and a stronger agriculture resources in the southern colonies, and the outcome of the war saw France cede practically all of it's colonies in North America to the British.

Increased migration and declining native populations

The early 1800s saw a large influx of migrants into Canada, with the Irish Potato Famine bringing the first wave of mass-migration to the country, with further migration coming from Scandinavia and Northern Europe. It is estimated that the region received just shy of one million migrants from the British Isles alone, between 1815 and 1850, which helped the population grow to 2.5 million in the mid-1800s and 5.5 million in 1900. It is also estimated that infectious diseases killed around 25 to 33 percent of all Europeans who migrated to Canada before 1891, and around a third of the Canadian population is estimated to have emigrated southwards to the United States in the 1871-1896 period. From the time of European colonization until the mid-nineteenth century, the native population of Canada dropped from roughly 500,000 (some estimates put it as high as two million) to just over 100,000; this was due to a mixture of disease, starvation and warfare, instigated by European migration to the region. The native population was generally segregated and oppressed until the second half of the 1900s; Native Canadians were given the vote in 1960, and, despite their complicated and difficult history, the Canadian government has made significant progress in trying to include indigenous cultures in the country's national identity in recent years. As of 2020, Indigenous Canadians make up more than five percent of the total Canadian population, and a higher birth rate means that this share of the population is expected to grow in the coming decades.

Independence and modern Canada

Canadian independence was finally acknowledged in 1931 by the Statute of Westminster, putting it on equal terms with the United Kingdom within the Commonwealth; virtually granting independence and sovereignty until the Canada Act of 1982 formalized it. Over the past century, Canada has had a relatively stable political system and economy (although it was hit particularly badly by the Wall Street Crash of 1929). Canada entered the First World War with Britain, and as an independent Allied Power in the Second World War; Canadian forces played pivotal roles in a number of campaigns, notably Canada's Hundred Days in WWI, and the country lost more than 100,000 men across both conflicts. The economy boomed in the aftermath of the Second World War, and a stream of socially democratic programs such as universal health care and the Canadian pension plan were introduced, which contributed to a rise in the standard of living. The post war period also saw various territories deciding to join Canada, with Newfoundland joining in 1949, and Nunavut in 1999. Today Canada is among the most highly ranked in countries in terms of civil liberties, quality of life and economic growth. It promotes and welcomes immigrants from all over the world and, as a result, it has one of the most ethnically diverse and multicultural populations of any country in the world. As of 2020, Canada's population stands at around 38 million people, and continues to grow due to high migration levels and life expectancy, and a steady birth rate.

About this dataset

Context

The dataset tabulates the Canadian population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Canadian across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Canadian was 145, a 0.68% decrease year-by-year from 2022. Previously, in 2022, Canadian population was 146, a decline of 0.68% compared to a population of 147 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Canadian decreased by 93. In this period, the peak population was 247 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Canadian is shown in this column.
• Year on Year Change: This column displays the change in Canadian population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Canadian Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Little Canada population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Little Canada across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Little Canada was 10,297, a 0.38% increase year-by-year from 2022. Previously, in 2022, Little Canada population was 10,258, a decline of 2.42% compared to a population of 10,512 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Little Canada increased by 470. In this period, the peak population was 10,780 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Little Canada is shown in this column.
• Year on Year Change: This column displays the change in Little Canada population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Little Canada Population by Year. You can refer the same here

The statistic shows the total population in Canada from 2020 to 2024, with projections up until 2030. In 2024, the total population in Canada amounted to about 41.14 million inhabitants. Population of Canada Canada ranks second among the largest countries in the world in terms of area size, right behind Russia, despite having a relatively low total population. The reason for this is that most of Canada remains uninhabited due to inhospitable conditions. Approximately 90 percent of all Canadians live within about 160 km of the U.S. border because of better living conditions and larger cities. On a year to year basis, Canada’s total population has continued to increase, although not dramatically. Population growth as of 2012 has amounted to its highest values in the past decade, reaching a peak in 2009, but was unstable and constantly fluctuating. Simultaneously, Canada’s fertility rate dropped slightly between 2009 and 2011, after experiencing a decade high birth rate in 2008. Standard of living in Canada has remained stable and has kept the country as one of the top 20 countries with the highest Human Development Index rating. The Human Development Index (HDI) measures quality of life based on several indicators, such as life expectancy at birth, literacy rate, education levels and gross national income per capita. Canada has a relatively high life expectancy compared to many other international countries, earning a spot in the top 20 countries and beating out countries such as the United States and the UK. From an economic standpoint, Canada has been slowly recovering from the 2008 financial crisis. Unemployment has gradually decreased, after reaching a decade high in 2009. Additionally, GDP has dramatically increased since 2009 and is expected to continue to increase for the next several years.

Tabular data for lynx captures used in analyses related to Derek Arnold's Ph.D. dissertation, 'Movement ecology, survival, and territorial dynamics in Canada lynx (Lynx canadensis) over a cyclic population decline'. These data are a subset of the capture data for the 'Movement Patterns, Dispersal Behavior, and Survival of Lynx in Relation to Snowshoe Hare Abundance in the Boreal Forest' project sponsored by the U.S. Fish and Wildlife Service.

Of the G7 countries, Canada, the United Kingdom, and the United States were forecast to have a constant population ******** until 2050. In Japan, Germany, and Italy, the population is forecast to constantly ******* due to aging populations and falling fertility rates. In France, the population was first expected to decline by 2048.

About this dataset

Context

The dataset tabulates the New Canada town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of New Canada town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of New Canada town was 316, a 0.64% increase year-by-year from 2022. Previously, in 2022, New Canada town population was 314, an increase of 0.64% compared to a population of 312 in 2021. Over the last 20 plus years, between 2000 and 2023, population of New Canada town increased by 15. In this period, the peak population was 320 in the year 2010. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the New Canada town is shown in this column.
• Year on Year Change: This column displays the change in New Canada town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for New Canada town Population by Year. You can refer the same here

Canada’s appeal as an immigration destination has been increasing over the past two decades, with a total of 464,265 people immigrating to the country in 2024. This figure is an increase from 2000-2001, when approximately 252,527 immigrants came to Canada. Immigration to the Great White North Between July 1, 2022 and June 30, 2023, there were an estimated 199,297 immigrants to Ontario, making it the most popular immigration destination out of any province. While the number of immigrants has been increasing over the years, in 2024 over half of surveyed Canadians believed that there were too many immigrants in the country. However, in 2017, the Canadian government announced its aim to significantly increase the number of permanent residents to Canada in order to combat an aging workforce and the decline of working-age adults. Profiles of immigrants to Canada The gender of immigrants to Canada in 2023 was just about an even split, with 234,279 male immigrants and 234,538 female immigrants. In addition, most foreign-born individuals in Canada came from India, followed by China and the Philippines. The United States was the fifth most common origin country for foreign-born residents in Canada.

The provide detailed statistical tables for 18 scenarios by single year of the projection period (2001 to 2017). For each of the scenarios, data are available for persons who identify with each of the following three groups: the North American Indian population, the Métis or the Inuit. All three groups were projected separately for each of the ten provinces and three territories. However, the subprovincial and subterritorial level shown for the three groups varies as it depends on the groups' size. For the North American Indians, future numbers were calculated for the urban parts of all census metropolitan areas (CMAs), urban areas outside CMAs, rural areas and reserves. For the Métis, places of residence were grouped into urban parts of CMAs, urban areas outside CMAs and rural areas, which also include reserves. Because of their relatively small size, the Inuit population was projected separately for urban and rural locations only. This information is further broken down by age and sex. The 18 scenarios, as well as scenario-specific assumptions on the future trend in fertility and internal migration, are presented in the table below. In addition to these two components of population growth, all scenarios assumed declining mortality and negligible importance of international migration to the change of the size of three Aboriginal groups. The statistical tables of this CD-ROM are organized into three sections: 1 - Aboriginal groups - The projected population by Aboriginal group, type of residence, province/territory and sex for the 18 scenarios by single year from 2001 to 2017; 2 - Age and sex - The projected population by Aboriginal group, type of residence, age group and sex for the 18 scenarios by single year from 2001 to 2017; and 3 - Province/territory - The projected total Aboriginal population by province/territory, age group, sex and type of residence for the 18 scenarios for 2001 and 2017. The statistical tables are supplementary to the publication Projections of the Aboriginal populations, Canada, provinces and territories: 2001 to 2017 (catalogue no. 91-547). For current population projections for Canada, provinces, and territories data refer to Statistics Canada Access data by All-Aboriginal Groups here Access data by Age and Sex here Access data by Provinces and Territories here

About this dataset

Context

The dataset tabulates the New Canada town population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of New Canada town across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of New Canada town was 318, a 0.63% increase year-by-year from 2021. Previously, in 2021, New Canada town population was 316, an increase of 1.28% compared to a population of 312 in 2020. Over the last 20 plus years, between 2000 and 2022, population of New Canada town increased by 17. In this period, the peak population was 320 in the year 2010. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the New Canada town is shown in this column.
• Year on Year Change: This column displays the change in New Canada town population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for New Canada town Population by Year. You can refer the same here

Protected areas are important in species conservation, but high rates of human-caused mortality outside their borders and increasing popularity for recreation can negatively affect wildlife populations. We quantified wolverine (Gulo gulo) population trends from 2011 to 2020 in >14 000 km2 protected and non-protected habitat in southwestern Canada. We conducted wolverine and multi-species surveys using non-invasive DNA and remote camera-based methods. We developed Bayesian integrated models combining spatial capture-recapture data of marked and unmarked individuals with occupancy data. Wolverine density and occupancy declined by 39 percent, with an annual population growth rate of 0.925. Density within protected areas was 3 times higher than outside and declined between 2011 (3.6 wolverines/1000 km2) and 2020 (2.1 wolverines/1000 km2). Wolverine density and detection probability increased with snow cover and decreased near development. Detection probability also decreased with human recreational activity. The annual harvest rate of 13% was above the maximum sustainable rate. We conclude that humans negatively affected the population through direct mortality, sub-lethal effects and habitat impacts. Our study exemplifies the need to monitor population trends for species at risk – within and between protected areas - as steep declines can occur unnoticed if key conservation concerns are not identified and addressed.

In Canada, the crude birth rate in 1860 was forty live births per thousand people, meaning that four percent of the population had been born in that year. From this point until the turn of the century, the crude birth rate decreases gradually, to just over thirty births per thousand. Over the next twenty years, this number hovers just below thirty, and thereafter it decreases much more rapidly than before, to 20.7 in 1940, before Canada's baby boom in the 1940s, 50s and 60s, where the birth rate increased to over 27. From the end of the baby boom until the late 1970s the population decreases rapidly again, before the rate of decline then slows. Since 1975, the crude birth rate of Canada will have dropped from 15.6, to it's lowest point in 2020, where it is expected to be just 10.5 births per thousand people.

Between 2001 and 2006, Canada’s population grew by 5.4%. Only two provinces, Alberta and Ontario and three territories registered growth rates above the national average. The three Maritime provinces (Prince Edward Island, Nova Scotia and New Brunswick) had the smallest population growth, while Newfoundland and Labrador and Saskatchewan experienced population declines. In 2006, about 21.5 million people, almost two-thirds of Canada’s population lived in 33 census metropolitan areas (CMAs). Between 2001 and 2006, the population of these CMAs climbed 6.9%, faster that the national average. Barrie registered the fastest population growth of any CMA (19.2%), followed by Calgary (13.4%), Oshawa (11.6%) and Edmonton (10.4%).

The eastern North American monarch butterfly population shows a long-term population decline. While it is hypothesized that forest loss on the wintering grounds and milkweed loss throughout the breeding range are responsible for the observed decline, there is much less certainty regarding the factors driving year-to-year variation around the current population level. Using 15 years of butterfly count data, we used a community-based approach to delineate the stage of the annual cycle during which population limiting factors are most strongly acting. We compared annual fluctuations in size of the breeding population of monarch butterflies in Canada to fluctuations in 13 additional butterfly species which either migrate long distances to Canada or are resident but breed in similar habitats to the monarch. We show that the breeding population of monarchs in southern Canada shows a higher degree of synchrony with other long-distance migrants than with breeding residents, and that annual fluctuations of all migrant butterflies show a positive correlation with the number of 21°C days during spring migration and re-colonization. Further, we found that size of the monarch breeding population shows a higher degree of synchrony with the size of the following winter population than with the size of the previous winter population. Combined, our results suggest that the monarch population in Canada is limited by factors acting during spring migration, and that weather plays an important role in the ability of the monarch to successfully re-colonize and breed in the northern portion of their summer range each year. A predicted increase in temperature in the early spring, combined with continued loss of breeding and wintering habitat, has the potential to limit the reproductive capacity of monarchs and their ability to recover from population lows.

Identifying genetic conservation units (CUs) in threatened species is critical for the preservation of adaptive capacity and evolutionary potential in the face of climate change. However, delineating CUs in highly mobile species remains a challenge due to high rates of gene flow and genetic signatures of isolation by distance. Even when CUs are delineated in highly mobile species, the CUs often lack key biological information about what populations have the most conservation need to guide management decisions. Here we implement a framework for rigorous CU identification in the Canada Warbler (Cardellina canadensis), a highly mobile migratory bird species of conservation concern, and then integrate demographic modeling and genomic offset within a CU framework to guide conservation decisions. We find that whole-genome structure in this highly mobile species is primarily driven by putative adaptive variation. Identification of CUs across the breeding range revealed that Canada Warblers fall into two Evolutionarily Significant Units (ESU), and three putative Adaptive Units (AUs) in the South, East, and Northwest. Quantification of genomic offset within each AU reveals significant spatial variation in climate vulnerability, with the Northwestern AU being identified as the most vulnerable to future climate change based on genomic offset predictions. Alternatively, quantification of past population trends within each AU revealed the steepest population declines have occurred within the Eastern AU. Overall, we illustrate that genomics-informed CUs provide a strong foundation for identifying current and potential future regional threats that can be used to manage highly mobile species in a rapidly changing world. Methods Resequencing sample collection and DNA extraction We collected samples from an additional 181 breeding adult Canada Warblers from across the breeding range in North America in collaboration with multiple university researchers, private environmental companies, and state and federal agencies (Supplemental Figure 1). For DNA extraction, we collected blood from 134 individuals (~80 µl), via brachial venipuncture, preserved it in Queen’s lysis buffer, and stored it at room temperature. Blood (50-80 µl) was extracted using Qiagen DNeasy Blood and Tissue Kits (QIAGEN) and eluted into 100 µl of provided AE buffer. For the remaining 47 individuals, we collected tail feathers by pulling 2 tail feathers from each bird and storing feathers at -20C. We cut the calamus of one feather from the shaft and extracted the calamus using the modified Qiagen DNeasy Blood and Tissue protocol (Schweizer & DeSaix, 2023). After DNA extraction, we quantified samples using Qubit dsDNA assay. DNA resequencing We prepared the breeding samples for low coverage whole genome sequencing using a modified Nextera prep (Schweizer & DeSaix, 2023) with normalized DNA input. We sequenced samples in two libraries, 110 individuals on an Illumina HiSeq 4000 using paired end 150bp reads and 71 individuals on an Illumina NovaSeq 6000 using paired end 150bp reads. The 71 individuals on the NovaSeq were sequenced across multiple lanes to get to the targeted sequencing depth of 2-3X coverage per sample and included replicates of 32 samples with lower than 1.5X coverage from the HiSeq 4000 run. Bioinformatic processing We used Conda v4.13.0 (Anaconda Documentation, 2020) environments to manage bioinformatic packages on the RMACC Summit supercomputer managed jointly by Colorado State University and University of Colorado, Boulder. To process raw fastqs from the 181 individuals that underwent low coverage whole genome sequencing, we used Trim Galore v0.6.7 (Krueger, 2012), a wrapper for cutadapt v1.18 (Martin, 2011), and FastQC v0.11.9 (Andrews, 2010) to trim any remaining Illumina adaptors in the fastqs. Next, based on recommendations for low coverage data generated with NovaSeq platforms (Lou & Therkildsen, 2022) we performed a sliding window cut of the 3-prime end of the reads to remove low quality tails, defined as 4 bases in a row with mean QUAL scores less than 20, using fastp v0.22.0 (Chen et al., 2018). We checked fastqs for quality using FastQC and MultiQC v1.0.dev0 (Ewels et al., 2016) before and after trimming reads. After processing raw fastqs, we aligned samples to the Canada Warbler reference genome using Burrows-Wheeler Alignment software (bwa mem, bwa v0.7.17) (Li & Durbin, 2009). Then we added read group information using Picard v2.26.11 AddorReplaceReadGroups (Picard Toolkit, 2014/2019)and marked duplicate reads using samtools v1.11 markdup (Danecek et al., 2011) before merging individuals with multiple bams. After merging bams, we checked sample coverage using bedtools v2.30.0 genomecov (Quinlan & Hall, 2010), and samples with less than 1X coverage were removed, leaving 169 individuals. We used the processed bams to call variants using GATK v4.2.5.0 HaplotypeCaller (McKenna et al., 2010) and BCFtools v1.15.1 mpileup (Danecek et al., 2021). Then, we stringently filtered the variant sets using BCFtools, allowing only biallelic sites, a minor allele frequency of greater than 5%, QUAL score of greater than 30 and less than 10% missing across the 169 individuals. We intersected the filtered variant sets from bedtools and GATK to create a high-quality variant set to use for base quality score recalibration. Using the intersected variants, we recalibrated the sample bams using GATK BaseRecalibrator and ApplyBQSR. With the recalibrated bams, we used HaplotypeCaller to call a recalibrated set of variants. Then we filtered the recalibrated variant set allowing only biallelic sites, a minor allele frequency of less than 5%, QUAL score of greater than 30 and less than 20% missing data across the 169 individuals. Using the recalibrated, filtered variant set we performed an exploratory analysis using R (R Core Team, 2022) and the package srsStuff (Anderson, 2020) to produce single-read sampling principal components analysis (PCA) of whole genome structure. We used single-read sampling because differences in the average coverage across samples can be mistaken for population structure on PCA in low coverage data (Lou & Therkildsen, 2022). Single read sampling equalizes coverage for all samples. Despite equalizing coverage, we found significant platform effects, where samples sequenced on different platforms have inherent bias that can be mistaken for population structure (for example of platform effects on low coverage data, see Lou & Therkildsen, 2022). We removed platform-associated variants from the dataset and proceeded with the analysis once samples no longer clustered in platform groups by PCA (for full methods to remove platform effects, see Supplemental Methods). Adaptive loci identification To select environmental variables, we used gradient forest (Ellis et al., 2012), an extension of random forest (Liaw et al., 2002), and 23 environmental variables potentially important to Canada Warbler breeding ecology based on previous research (Supplemental Table 3, Ferrari et al., 2018; Reitsma et al., 2020). Environmental data were extracted from each of 16 sampling locations, excluding two sampling sites with fewer than 4 individuals. To identify putatively adaptive loci, we used two approaches, redundancy analysis (RDA) and Latent Factor Mixed Models (LFMM). Once loci were identified using both RDA and LFMM, the union of loci discovered by both methods was used as our set of candidate adaptive loci which was filtered from the original vcf.

description: This document includes census data on the declining goose population at Wheeler National Wildlife Refuge.; abstract: This document includes census data on the declining goose population at Wheeler National Wildlife Refuge.

Bumble bees (Bombus) are vitally important pollinators of wild plants and agricultural crops worldwide. Fragmentary observations, however, have suggested population declines in several North American species. Despite rising concern over these observations in the United States, highlighted in a recent National Academy of Sciences report, a national assessment of the geographic scope and possible causal factors of bumble bee decline is lacking. Here, we report results of a 3-y interdisciplinary study of changing distributions, population genetic structure, and levels of pathogen infection in bumble bee populations across the United States. We compare current and historical distributions of eight species, compiling a database of >73,000 museum records for comparison with data from intensive nationwide surveys of >16,000 specimens. We show that the relative abundances of four species have declined by up to 96% and that their surveyed geographic ranges have contracted by 23–87%, some within the last 20 y. We also show that declining populations have significantly higher infection levels of the microsporidian pathogen Nosema bombi and lower genetic diversity compared with co-occurring populations of the stable (nondeclining) species. Higher pathogen prevalence and reduced genetic diversity are, thus, realistic predictors of these alarming patterns of decline in North America, although cause and effect remain uncertain. Bumble bees (Bombus) are integral wild pollinators within native plant communities throughout temperate ecosystems, and recent domestication has boosted their economic importance in crop pollination to a level surpassed only by the honey bee. Their robust size, long tongues, and buzz-pollination behavior (high-frequency buzzing to release pollen from flowers) significantly increase the efficiency of pollen transfer in multibillion dollar crops such as tomatoes and berries. Disturbing reports of bumble bee population declines in Europe have recently spilled over into North America, fueling environmental and economic concerns of global decline. However, the evidence for large-scale range reductions across North America is lacking. Many reports of decline are unpublished, and the few published studies are limited to independent local surveys in northern California/southern Oregon, Ontario, Canada, and Illinois. Furthermore, causal factors leading to the alleged decline of bumble bee populations in North America remain speculative. One compelling but untested hypothesis for the cause of decline in the United States entails the spread of a putatively introduced pathogen, Nosema bombi, which is an obligate intracellular microsporidian parasite found commonly in bumble bees throughout Europe but largely unstudied in North America. Pathogenic effects of N. bombi may vary depending on the host species and reproductive caste and include reductions in colony growth and individual life span and fitness. Population genetic factors could also play a role in Bombus population decline. For instance, small effective population sizes and reduced gene flow among fragmented habitats can result in losses of genetic diversity with negative consequences, and the detrimental impacts of these genetic factors can be especially intensified in bees. Population genetic studies of Bombus are rare worldwide. A single study in the United States identified lower genetic diversity and elevated genetic differentiation (FST) among Illinois populations of the putatively declining B. pensylvanicus relative to those of a codistributed stable species. Similar patterns have been observed in comparative studies of some European species, but most investigations have been geographically restricted and based on limited sampling within and among populations. Although the investigations to date have provided important information on the increasing rarity of some bumble bee species in local populations, the different survey protocols and limited geographic scope of these studies cannot fully capture the general patterns necessary to evaluate the underlying processes or overall gravity of declines. Furthermore, valid tests of the N. bombi hypothesis and its risk to populations across North America call for data on its geographic distribution and infection prevalence among species. Likewise, testing the general importance of population genetic factors in bumble bee decline requires genetic comparisons derived from sampling of multiple stable and declining populations on a large geographic scale. From such range-wide comparisons, we provide incontrovertible evidence that multiple Bombus species have experienced sharp population declines at the national level. We also show that declining populations are associated with both high N. bombi infection levels and low genetic diversity. This data was used in the paper "Patterns of widespread decline in North American bumble bees" published in the Proceedings of the National Academy of United States of America. For more information about this dataset contact: Sydney A. Cameron: scameron@life.illinois.edu James Strange: James.Strange@ars.usda.gov Resources in this dataset:Resource Title: Data from: Patterns of Widespread Decline in North American Bumble Bees (Data Dictionary). File Name: meta.xmlResource Description: This is an XML data dictionary for Data from: Patterns of Widespread Decline in North American Bumble Bees.Resource Title: Patterns of Widespread Decline in North American Bumble Bees (DWC Archive). File Name: occurrence.csvResource Description: File modified to remove fields with no recorded values.Resource Title: Patterns of Widespread Decline in North American Bumble Bees (DWC Archive). File Name: dwca-usda-ars-patternsofwidespreaddecline-bumblebees-v1.1.zipResource Description: Data from: Patterns of Widespread Decline in North American Bumble Bees -- this is a Darwin Core Archive file. The Darwin Core Archive is a zip file that contains three documents.

The occurrence data is stored in the occurrence.txt file. The metadata that describes the columns of this document is called meta.xml. This document is also the data dictionary for this dataset. The metadata that describes the dataset, including author and contact information for this dataset is called eml.xml.

Find the data files at https://bison.usgs.gov/ipt/resource?r=usda-ars-patternsofwidespreaddecline-bumblebees

In 2022, 9.9 percent of all Canadians were living in low income. Between 2000 and 2022, the percentage of population with low income experienced a decrease, reaching the lowest value in 2020. The highest share of Canadians with low income was recorded in 2015, with 14.5 percent of the total population.

Low Income Measures

The low income measures (LIMs) were developed by Statistics Canada in the 1990s. They, along with the low income cut-offs (LICOs) and the market basket measure (MBM), were created in order to measure and track the low income population of Canada. With low income measures, individuals are classified as being in low income if their income falls below fifty percent of the median adjusted household income. The median income is adjusted in order to reflect the differing financial needs of households based on the number of its members. The low income measures are a useful tool to compare low income populations between countries as they do not rely on an arbitrary standard of what constitutes the threshold for poverty. Statistics Canada insists that the low income measures are not meant to be representative of a poverty rate. The department has no measure which they define as a measurement of poverty in Canada. Latest data and trends In 2022, around 2.1 million people were living in low income families in Canada. This figure has been fluctuating over the years, both in absolute numbers and in proportion over the total population. More women than men were living in low income families in 2022, though the number of men in low income has risen at twice the rate as that of women. One of the more drastic changes has been the rise in the number of single individuals living in low income, increasing by more than 60 percent since 2000.

"Fall" missions occur primarily in October and November, but sets from September and December are also present in the data. Collected data includes total catch in numbers and weights by species. Length frequency data is available for most species, as are the age, sex, maturity and weight information for a subset of the individual animals. Other data such as ageing material, genetic material, and stomach contents are often also collected, but are stored elsewhere. "Fall" cruises occur in September, October, November and December. Cite this data as: Clark, D., Emberley, J. Data of Maritimes Fall Research Vessel Survey. Published January 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/5f82b379-c1e5-4a02-b825-f34fc645a529

Grassland biomes in North America are threatened by agricultural intensification with implications for grassland associated bird populations via habitat loss, alteration, pesticide use and declining landscape heterogeneity. Despite decades of conservation concern, steep declines of North American grassland bird populations continue. Key to optimizing conservation effort is understanding how land-use practices, such as agriculture, across the annual cycle affects population status. Determining the relative influence of impacts on grassland bird declines is difficult given that the most robust estimates of population trends, the North American Breeding Bird Survey (BBS), are from surveys throughout agriculturally dominated regions. Our goal was to explore whether agriculture during the breeding season is a major driver of grassland bird declines. We derived trends for 16 grassland bird species spanning 23 years (1994-2016) at a large (459 km2), native prairie site, Suffield National Wildlife Area (SNWA) in Alberta, Canada. We compared those trends to the BBS across three spatial scales, a regional monitoring scheme with higher than average native grass cover (GBM), BCR 11 - Canada (Canada) and all of BCR 11 (BCR 11). Trends measured as annual percent change and credible interval varied greatly among species and survey strata. Across all species, declines were greatest for Canada (-1.3%, CI: -2.8, 0.0) and BCR 11 (-1.9%, CI: -3.2, -0.6). This contrasts with positive mean trends for GBM routes (1.0%, CI: -0.4, 2.3) and the SNWA data (1.7%, CI: 0.3, 3.3). Six of 16 species at SNWA were increasing with one decreasing. Five species increased at GBM and four declined. Canada had 10 species declines and three increases and BCR 11 had 10 declines and no increases. None of six grassland obligate species declined at SNWA, two declined at GBM, and all six declined over the two larger BBS strata. Our results showing fewer negative population trends at a large native grassland site compared to BBS at three spatial scales across the North American prairies support the prediction that agricultural intensification on breeding grounds is a major driver of declining populations and protection of remaining native grasslands should remain a key component of grassland bird conservation efforts.