This record contains Grizzly Bear population estimates for British Columbia for multiple years: 2012, 2015 and 2018. The 2012 Grizzly Bear population estimate report for British Columbia report is available here: http://www.env.gov.bc.ca/fw/wildlife/docs/Grizzly_Bear_Pop_Est_Report_Final_2012.pdf. The 2018 Grizzly Bear population estimate report for British Columbia report is available here: https://www2.gov.bc.ca/assets/gov/environment/plants-animals-and-ecosystems/wildlife-wildlife-habitat/grizzly-bears/grizzly_bear_pop_est_report_2018_final.pdf Grizzly Bear population estimates for 2015 & 2018 are provided below in tabular comma separated value (.csv) file format, as well as a zipped (.zip) Esri file geodatabase (.gdb) spatial data file format. There is no spatial difference between the 2015 & 2018 spatial data polygons, as only the population estimate numbers in the spatial data's attribute table were updated (and only if a change in population estimates occurred from 2015 to 2018). 2015 population estimates are based on 2012 numbers, but adjusted to the revised GBPU sub-units. The 2015 & 2018 population estimates in the comma separated value (.csv) tables are provided in two units: 1. Grizzly Bear Population Unit (GBPU) and 2. GBPU sub-unit. The sub-units are composed of Grizzly Bear Population Unit (GBPU), Wildlife Management Unit (WMU), Limited Entry Hunting (LEH) and National Park boundaries, taken at the time of this data's creation. Note that that these boundaries are not coincident. Slight adjustments have been made to some polygons where needed to align the original linework to create the GBPU sub-units. Therefore, do not dissolve the GBPU sub-units to replicate the source data. Bear density is given in number of bears per 1,000 square kilometers, based on the net polygon area. The net polygon area excludes ice and water features from the Baseline Thematic Mapping dataset (https://catalogue.data.gov.bc.ca/dataset/134fdc69-7b0c-4c50-b77c-e8f2553a1d40). Ice and water features can be identified by using this selection criteria: PRESENT_LAND_USE_LABEL IN ('Fresh Water', 'Salt Water', 'Glaciers and Snow'). Please view the PDF file below for more information on the data change history, and for a description of the spatial data attribute fields: BC_Grizzly_population_estimates_2015_and_2018_by_GBPU_population_sub_units_metadata.pdf Grizzly Bear population units are available here: https://catalogue.data.gov.bc.ca/dataset/caa22f7a-87df-4f31-89e0-d5295ec5c725 Grizzly Bear Conservation Ranking results table is available here: https://catalogue.data.gov.bc.ca/dataset/e08876a1-3f9c-46bf-b69a-3d88de1da725 Grizzly Bear reports are available here: https://www2.gov.bc.ca/gov/content/environment/plants-animals-ecosystems/wildlife/wildlife-conservation/grizzly-bear

About this dataset

Context

This list ranks the 2 cities in the Columbia County, FL by British population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by British Population: This column displays the rank of city in the Columbia County, FL by their British population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• British Population: The British population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as British. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Columbia County British Population: This tells us how much of the entire Columbia County, FL British population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

This list ranks the 32 cities in the Columbia County, WI by British population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by British Population: This column displays the rank of city in the Columbia County, WI by their British population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• British Population: The British population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as British. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Columbia County British Population: This tells us how much of the entire Columbia County, WI British population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

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

Comprehensive demographic dataset for British Columbia, CA including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.

Contained within the 1st Edition (1906) of the Atlas of Canada is a plate that shows two maps. The maps show the density of population per square mile for every township in Manitoba, Saskatchewan, British Columbia, Alberta, circa 1901. The statistics from the 1901 census are used, yet the population of Saskatchewan and Alberta is shown as confined within the vicinity of the railways, this is because the railways have been brought up to date of publication, 1906. Cities and towns of 5000 inhabitants or more are shown as black dots. The size of the circle is proportionate to the population. The map uses eight classes, seven of which are shades of brown, more densely populated portions are shown in the darker tints. Numbers make it clear which class is being shown in any one township. Major railway systems are shown. The map also displays the rectangular survey system which records the land that is available to the public. This grid like system is divided into sections, townships, range, and meridian from mid-Manitoba to Alberta.

About this dataset

Context

This list ranks the 6 cities in the Columbia County, OR by British population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by British Population: This column displays the rank of city in the Columbia County, OR by their British population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• British Population: The British population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as British. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Columbia County British Population: This tells us how much of the entire Columbia County, OR British population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

This list ranks the 1 cities in the Columbia County, WA by British population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by British Population: This column displays the rank of city in the Columbia County, WA by their British population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• British Population: The British population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as British. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Columbia County British Population: This tells us how much of the entire Columbia County, WA British population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

Sub-provincial household estimates and projections for various region types of British Columbia including Development Regions, Regional Districts, incorporated municipalities and other regions. The data set includes the number and average number of persons per household for every sub-provincial region. Customizable data breakdowns are available via BC Stats' Household Estimates & Projections application. Estimates: BC Stats releases annual household estimates for sub-provincial regions as of July 1st of every year. These estimates are calculated using a parametric model adjusted from Census data and the annual population estimates by BC Stats. Projections: BC Stats applies the same parametric model used for the household estimates to the population projections produced annually by BC Stats to produce household projections. The projections are produced for every region type described above. More information can be found on BC Stats’ Household Projections page.

Estimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.

The Agency for Co-operative Housing & Housing Assessment Resource Tools (HART) This dataset contains 5 tables which draw upon data from the 2021 Canadian Census of Population. The tables are a custom order based on a custom geographical area covering parts of Ontario, Alberta, and British Columbia that contained a household who received support from the Rental Assistance Program (FCHI-2) in 2021. This custom order was placed in collaboration with The Agency for Co-operative Housing (“The Agency”) who administers FCHI-2 on behalf of the Canada Mortgage and Housing Corporation (“CMHC”). Statistics Canada built the custom geographical area based on addresses of households provided by The Agency. These addresses were converted into postal codes and block faces which were evaluated by Statistics Canada to determine if the households in those areas were mostly (>90%) living in co-operative housing. Statistics Canada performed this assessment based on The Agency’s data in conjunction with previous work done on behalf of the Co-operative Housing Federation of Canada (“CHF Canada”) and CHF British Columbia, with their permission. The resulting geography representing the aggregated postal codes and block faces, which we will call the “super-geography,” represents an estimate of mostly, but not entirely households living in co-operative housing developments with at least one household who benefitted from FCHI-2. The census data order contains variables designed to filter out non-co-op households. The “condominium status” variables is included to remove households living in condos, since co-ops are distinct from condos. The “tenure” variable has also been included to remove households who own their dwelling since the census counts co-ops as rental households. Tenure is also used to identify subsidized households. These households represent our best estimate of households who received FCHI-2. However, the definition of subsidized households allows for a range of subsidies so we cannot say exactly how many of those subsidized households would have received FCHI-2 specifically. 4 of the 5 data tables contain data on households, with the fifth table containing data on the individuals/population in those households. Of those 4 tables on households, there is one each for the provinces of Ontario, Alberta, and British Columbia, along with a fourth table that aggregates all households from the three province-specific tables. 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: - Custom non-contiguous geographical area within the provinces of Ontario, Alberta, and British Columbia, in the country of Canada. Please note that some data files with have a geographical area of “Canada,” but that is only used to refer to the complete super-geography equal to the aggregated households/population from the three provinces represented. - “Version 1” = Version 1 Custom Areas (4) were created with co-op streets met one of two conditions. The first condition is that the streets have a match level of 90% or better. The match level was calculated between co-op units and census private dwellings for each co-op street. The other condition is that a co-op street did not reach the 90% match level, however the dwellings on the co-op street were confirmed as co-op units - “Version 2” = Version 2 Custom Areas (4) were created by having all the 372 co-op streets included. 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...

Contained within the 2nd Edition (1915) of the Atlas of Canada is a plate map that shows 2 maps. The first map shows the origin of the population in Manitoba and Saskatchewan, circa 1911. The second map shows the origin of the population in British Columbia and Alberta, circa 1911A varying number of ethnic groups are shown, but always included are: English, Scotch [Scottish], Irish, French and German. People of British origin predominate in all provinces, except Quebec, where the French predominate. There is a cosmopolitan population due to immigration from Great Britain and Europe, but British are the predominating people in British Columbia and Alberta. Major railway systems are displayed, which extend into the U.S. The map presents the rectangular survey system, which records the land that is available to the public. This grid like system is divided into sections, townships, range, and meridian from mid-Manitoba to Alberta.

About this dataset

Context

This list ranks the 3 cities in the Columbia County, AR by British population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by British Population: This column displays the rank of city in the Columbia County, AR by their British population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• British Population: The British population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as British. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Columbia County British Population: This tells us how much of the entire Columbia County, AR British population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

This list ranks the 30 cities in the Columbia County, PA by British population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by British Population: This column displays the rank of city in the Columbia County, PA by their British population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• British Population: The British population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as British. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Columbia County British Population: This tells us how much of the entire Columbia County, PA British population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

The 2006 Census enumerated 6.2 million foreign-born in Canada. The majority of the foreign-born population (86.8%) lived in three provinces: Ontario, Quebec and British Columbia. The map shows the percentage of the total population that was foreign-born by census division.

Ten year trend of populations by police jurisdiction in BC.

The objective of the present study was to evaluate microsatellite genetic differentiation between lake-type and riverine populations within the same river drainage, among riverine populations in the same drainage, and among riverine populations in different drainages in British Columbia. In particular, it was important to confirm the finding from allozyme surveys that little genetic differentiation would be observed among riverine populations in British Columbia.

Local Government Statistics - General Statistics - Revenue - Municipality - 2003. The Statistics schedules consist of data provided to the ministry by local governments in annual financial reporting forms. While the ministry does perform checks of the data, we do not guarantee its accuracy or validity. Users should contact local governments directly if confirmation is required. Beginning in 2002 the schedules have been amended to reflect Generally Accepted Accounting Procedures (GAAP) for local governments, thus they differ greatly from previous years. Regional District statistics use the current year assessments supplied by BC Assessment in April and revised population estimates certified by the Minister responsible. Data for previous years may be requested electronically.

Between 1996 and 2001, the nation's population increased by 1 160 333 people, a gain of 4%. Canada has experienced one of the smallest census-to-census growth rates in its population. The Census counted 30 007 094 people in Canada on May 15, 2001, compared with 28 846 761 in 1996. Only three provinces and one territory registered growth rates above the national average of 4%. Alberta's population surged by 10.3%, compared with 5.9% between 1991 and 1996. Ontario gained 6.1%, British Columbia 4.9% and Nunavut 8.1%.

This thesis aims to determine if bull trout within a single large watershed show multiple life history forms, if their movement is influenced by environmental variables of temperature and discharge and if they show genetic population structure. It is focused on the Morice River region.