Estimated number of persons by quarter of a year and by year, Canada, provinces and territories.

This table contains 2288 series, with data for years 1971 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (176 items: Canada; Maritime provinces (major drainage area); Saint John and Southern Bay of Fundy, New Brunswick (sub-drainage area); Gulf of St. Lawrence and Northern Bay of Fundy, New Brunswick (sub-drainage area); ...); Population characteristics (13 items: Total population; Population in population centres; Population in rural areas; Total population density; ...).

This table contains 2288 series, with data for years 1971 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (176 items: Canada; Maritime provinces (major drainage area); Saint John and Southern Bay of Fundy, New Brunswick (sub-drainage area); Gulf of St. Lawrence and Northern Bay of Fundy, New Brunswick (sub-drainage area); ...);  Population characteristics (13 items: Total population; Population in population centres; Population in rural areas; Total population density; ...).

This table contains 11550 series, with data for years 1996 - 2012 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (35 items: St. John's; Newfoundland and Labrador; Moncton; New Brunswick; Saint John; New Brunswick; Halifax; Nova Scotia ...) Sex (3 items: Both sexes; Females; Males ...) Age group (110 items: All ages; 1 year; 0 to 4 years; 0 years ...).

Contained within the 3rd Edition (1957) of the Atlas of Canada is a plate that shows two condensed maps, and three sets of graphs to show population change for the period 1851 to 1951. The top map shows the percent changes in population in eastern Canada for the period 1851 to 1901 (Newfoundland data is for 1857 to 1901). The bottom map shows the percent changes in population for Canada for the period 1901 to 1951 (Northwest Territories data is for 1911 to 1951). The first set of graphs show birth, death and natural increase rates per 1000 population for the period 1931 to 1951 for Canada and the provinces. The second set shows the changes in density of population for the period 1851 to 1951 for Prince Edward Island, Nova Scotia, New Brunswick, Ontario, Quebec, the Western Provinces and Canada. The third graph shows the percent increase in Canada's total population by decade for the period 1851 to 1951.

NB 2016 Population by Statistics Canada dissemination Areas.Population du Nouveau-Brunswick en 2016 selon les aires de diffusion de Statistique Canada

This table contains 93240 series, with data for years 1996 - 2011 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (35 items: St. John's; Newfoundland and Labrador; Saint John; New Brunswick; Moncton; New Brunswick; Halifax; Nova Scotia ...) Components of population growth (8 items: Deaths; Immigrants; Emigrants; Returning emigrants ...) Sex (3 items: Both sexes; Females; Males ...) Age group (111 items: All ages; -1 year; 0 years; 0 to 4 years ...).

SummaryThe repository includes the data and R script for performing an analysis of among- and within-individual differences in the timing of first nesting attempts of the year in natal and pre-breeding environmental conditions (see reference). The data come from a long-term study of the demography of Savannah sparrows (Passerculus sandwichensis) breeding on Kent Island, New Brunswick, Canada (44.58°N, 66.76°W). Climate data were taken from an Environment and Climate Change Canada weather station at the airport in Saint John, NB (45.32°N, 65.89°W; https://www.climate.weather.gc.ca)Datasets(1) SAVS_all_nests_samp.csv: contains summary information for all nest attempts observed for all females included in the analysis (i.e., including both first-of-year and subsequent lay dates).(2) SAVS_first_nest_per_year_samp.csv: contains detailed information on the first nesting attempt by each female Savannah sparrow monitored in the population over the course of the study (1987-2019, excluding the years 2005-2007; see Methods: Study site and field sampling in reference).(3) mean_daily_temperature.csv: contains mean daily temperature records from the ECCC weather station at Saint John, NB (see above). These mean daily temperatures were used in a climate sensitivity analysis to determine the optimum pre-breeding window on Kent Island.(4) SAVS_annual_summary.csv: contains annual summaries of average lay dates, breeding density, reproductive output, etc.Variables- female.id = factor; unique aluminum band number (USGS or Canadian Wildlife Service) assigned to each female- rain.categorical = binary (0 = low rainfall; 1 = high rainfall); groups females into low (81-171 mm) and high (172-378 mm) natal rainfall groups, based on the natal environmental conditions observed in each year (see Methods: Statistical analysis in reference)- year = integer (1987-2019); study year. The population on Savannah sparrows on Kent Island has been monitored since 1987 (excluding three years, 2005-2007)- nest.id = factor; an alpha-numeric code assigned to each nest; unique within years (the combination of year and nest.id would create a unique identifier for each nest)- fledglings = integer; number of offspring fledged from a nest- total.fledglings = integer; the total number of fledglings reared by a given female over the course of her lifetime- nest.attempts = integer; the total number of nest attempts per female (the number of nests over which the total number of fledglings is divided; includes both successful and unsuccessful clutches)hatch.yday = integer; day of the year on which the first egg hatched in a given nestlay.ydate = integer; day of the year on which the first egg was laid in a given nestlay.caldate = date (dd/mm/yyyy); calendar date on which the first egg in a given nest was laidnestling.year = integer; the year in which the female/mother of a given nest was born- nestling.density = integer; the density of adult breeders in the year in which a given female (associated with a particular nest) was born- total.nestling.rain = numeric; cumulative rainfall (in mm) experienced by a female during the nestling period in her natal year of life (01 June to 31 July; see Methods: Temperature and precipitation data in reference)- years.experience = integer; number of previous breeding years per female in a particular year- density.total = integer; total number of adult breeders in the study site in a particular year- MCfden = numeric; mean-centred female density- MCbfden = numeric; mean-centred between-female density- MCwfden = numeric; mean-centred within-female density- mean.t.window = numeric; mean temperature during the identified pre-breeding window (03 May to 26 May; see Methods: Climate sensitivity analysis in reference)- MCtemp = numeric; mean-centred temperature during the optimal pre-breeding window- MCbtemp = numeric; mean-centred between-female temperature during the optimal pre-breeding window- MCwtemp = numeric; mean-centred within-female temperature during the optimal pre-breeding window- female.age = integer; age (in years) of a given female in a given year- MCage = numeric; mean-centred female age- MCbage = numeric; mean-centred between-female age- MCwage = numeric; mean-centred within-female age- mean_temp_c = numeric; mean daily temperature in °C- meanLD = numeric; mean lay date (in days of the year) across all first nest attempts in a given year- sdLD = numeric; standard deviation in lay date (in days of the year) across all first nest attempts in a given year- seLD = numeric; standard error n lay date (in days of the year) across all first nest attempts in a given year- meanTEMP = numeric; mean temperature (in °C) during the breeding period in a given year- records = integer; number of first nest attempts from each year included in the analysis- total.nestling.precip = numeric; total rainfall (in mm) during the nestling period (01 June to 31 July) in a given year- total.breeding.precip = numeric; total rainfall (in mm) during the breeding period (15 April to 31 July) in a given year- density.total = integer; total density of adult breeders on the study site in a given year- total.fledglings = integer; total number of offspring fledged by all breeders in the study site on a given year- cohort.fecundity = numeric; average number of offspring per breeder in a given yearCodecode for Burant et al. - SAVS lay date plasticity analysis.RThe R script provided includes all the code required to import the data and perform the statistical analyses presented in the manuscript. These include:- t-tests investigating the effects of natal conditions (rain.categorical) on female age, nest attempts, and reproductive success- linear models of changes in temperature, precipitation, reproductive success, and population density over time, and lay dates in response to female age, density, etc.- a climate sensing analysis to identify the optimal pre-breeding window on Kent Island- mixed effects models investigating how lay dates respond to changes in within- and between-female age, density, and temperaturesee readme.rtf for a list of datasets and variables.

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%).

Contained within the 3rd Edition (1957) of the Atlas of Canada is a plate that shows two condensed maps, and three sets of graphs to show population change for the period 1851 to 1951. The top map shows the percent changes in population in eastern Canada for the period 1851 to 1901 (Newfoundland data is for 1857 to 1901). The bottom map shows the percent changes in population for Canada for the period 1901 to 1951 (Northwest Territories data is for 1911 to 1951). The first set of graphs show birth, death and natural increase rates per 1000 population for the period 1931 to 1951 for Canada and the provinces. The second set shows the changes in density of population for the period 1851 to 1951 for Prince Edward Island, Nova Scotia, New Brunswick, Ontario, Quebec, the Western Provinces and Canada. The third graph shows the percent increase in Canada's total population by decade for the period 1851 to 1951.

Note: Data on gender diverse households (formerly "2SLGBTQ+" households) has been added as of March 28th, 2025. For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This dataset contains 18 tables which draw upon data from the 2021 Canadian Census of Population. The tables are a custom order and contain data pertaining to core housing need and characteristics of households and dwellings. This custom order was placed in collaboration with Housing, Infrastructure and Communities Canada to fill data gaps in their Housing Needs Assessment Template. 17 of the tables each cover a different geography in Canada: one for Canada as a whole, one for all Canadian census divisions (CD), and 15 for all census subdivisions (CSD) across Canada. The 18th table contains the median income for all geographies. Statistics Canada used these median incomes as the "area median household income (AMHI)," from which they derived some of the data fields within the Shelter Costs/Household Income dimension. The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and data fields: Geography: - Country of Canada, all CDs & Country as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia), all CSDs & each Province as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), all CSDs & each Territory as a whole *- Data on gender diverse households is only available for geographies (provinces, territories, CDs, CSDs) with a population count greater than 50,000. Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts greater than 10 are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Counts less than 10 are rounded to a base of 10, meaning they will be rounded to either 10 or Zero. Universe: Private Households in Non-farm Non-band Off-reserve Occupied Private Dwellings with Income Greater than zero. Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances. Data Fields: Tenure Including Presence of Mortgage and Subsidized Housing; Household size (7) 1. Total - Private households by tenure including presence of mortgage payments and subsidized housing 2. Owner 3. With mortgage 4. Without mortgage 5. Renter 6. Subsidized housing 7. Not subsidized housing Housing indicators in Core Housing Universe (12) 1. Total - Private Households by core housing need status 2. Households examined for core housing need 3. Households in core...

This table contains 36 series, with data for years 1996 - 1998 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (4 items: Nova Scotia; Alberta; British Columbia; New Brunswick ...), Sex (3 items: Males; Females; Both sexes ...), Characteristics (3 items: 180-day net survival rate for all stroke; High 95% confidence interval; 180-day net survival rate for all stroke; Low 95% confidence interval; 180-day net survival rate for all stroke ...).

Housing Assessment Resource Tools (HART) This dataset contains 2 tables and 5 files which draw upon data from the 2021 Census of Canada. The tables are a custom order and contain data pertaining to older adults and housing need. The 2 tables have 6 dimensions in common and 1 dimension that is unique to each table. Table 1's unique dimension is the "Ethnicity / Indigeneity status" dimension which contains data fields related to visible minority and Indigenous identity within the population in private households. Table 2's unique dimension is "Structural type of dwelling and Period of Construction" which contains data fields relating to the structural type and period of construction of the dwelling. Each of the two tables is then split into multiple files based on geography. Table 1 has two files: Table 1.1 includes Canada, Provinces and Territories (14 geographies), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); and Table 1.2 includes Canada and the CMAs of Canada (44). Table 2 has three files: Table 2.1 includes Canada, Provinces and Territories (14), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); Table 2.2 includes Canada and the CMAs of Canada excluding Ontario and Quebec (20 geographies); and Table 2.3 includes Canada and the CMAs of Canada that are in Ontario and Quebec (25 geographies). The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and data fields: Geography: - Country of Canada as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia) as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), as a whole as well as all census divisions (CDs) within the 3 territories - All 43 census metropolitan areas (CMAs) in Canada Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Universe: Full Universe: Population aged 55 years and over in owner and tenant households with household total income greater than zero in non-reserve non-farm private dwellings. Definition of Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances. Data Fields: Table 1: Age / Gender (12) 1. Total – Population 55 years and over 2. Men+ 3. Women+ 4. 55 to 64 years 5. Men+ 6. Women+ 7. 65+ years 8. Men+ 9. Women+ 10. 85+ 11. Men+ 12. Women+ Housing indicators (13) 1. Total – Private Households by core housing need status 2. Households below one standard only...

This table contains 93240 series, with data for years 1996 - 2011 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (35 items: St. John's; Newfoundland and Labrador; Saint John; New Brunswick; Moncton; New Brunswick; Halifax; Nova Scotia ...) Components of population growth (8 items: Deaths; Immigrants; Emigrants; Returning emigrants ...) Sex (3 items: Both sexes; Females; Males ...) Age group (111 items: All ages; -1 year; 0 years; 0 to 4 years ...).

Annual population estimates as of July 1st, by census metropolitan area and census agglomeration, single year of age, five-year age group and gender, based on the Standard Geographical Classification (SGC) 2021.

This table contains 36 series, with data for years 1996 - 1998 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (4 items: Nova Scotia; Alberta; British Columbia; New Brunswick ...), Sex (3 items: Males; Females; Both sexes ...), Characteristics (3 items: 180-day net survival rate for all stroke; High 95% confidence interval; 180-day net survival rate for all stroke; Low 95% confidence interval; 180-day net survival rate for all stroke ...).

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Plant Macrofossil. The data include parameters of plant macrofossil (population abundance) with a geographic _location of New Brunswick, Canada. The time period coverage is from 14124 to 10859 in calendar years before present (BP). See metadata information for parameter and study _location details. Please cite this study when using the data.

In this study, we used comparative transcriptomics to understand how oysters from either end of the species range maintain homeostasis across three acclimation temperatures 10, 20, and 30 C. With this approach, we identified genes that were differentially expressed in response to temperature between individuals of C. virginica collected from New Brunswick, Canada and Louisiana, USA. We observed a core set of genes whose expression responded to temperature in both populations, but also an even larger set of genes with expression patterns that were unique to each population.

This table contains 560 series, with data for years 1987 - 1995 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (40 items: St. John's; Newfoundland and Labrador; Halifax; Nova Scotia; Saguenay; Quebec; Saint John; New Brunswick ...), Labour force characteristics (7 items: Population; Labour force; Unemployment; Employment ...), Seasonal adjustment (2 items: Seasonally adjusted; Unadjusted ...).

This table contains 11550 series, with data for years 1996 - 2012 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (35 items: St. John's; Newfoundland and Labrador; Moncton; New Brunswick; Saint John; New Brunswick; Halifax; Nova Scotia ...) Sex (3 items: Both sexes; Females; Males ...) Age group (110 items: All ages; 1 year; 0 to 4 years; 0 years ...).