This service shows the percentage of population, excluding institutional residents, with knowledge of English and French for Canada by 2016 census division. The data is from the Census Profile, Statistics Canada Catalogue no. 98-316-X2016001.

Knowledge of official languages refers to whether the person can conduct a conversation in English only, French only, in both languages or in neither language. For a child who has not yet learned to speak, this includes languages that the child is learning to speak at home. For additional information refer to 'Knowledge of official languages' in the 2016 Census Dictionary.

For additional information refer to 'Knowledge of official languages' in the 2016 Census Dictionary.

To have a cartographic representation of the ecumene with this socio-economic indicator, it is recommended to add as the first layer, the “NRCan - 2016 population ecumene by census division” web service, accessible in the data resources section below.

Percentage of employees required to be bilingual in English and French, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.

About this dataset

Context

The dataset tabulates the population of Little Canada by race. It includes the population of Little Canada across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Little Canada across relevant racial categories.

Key observations

The percent distribution of Little Canada population by race (across all racial categories recognized by the U.S. Census Bureau): 62.74% are white, 8.35% are Black or African American, 0.32% are American Indian and Alaska Native, 13.62% are Asian, 5.59% are some other race and 9.38% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Little Canada
• Population: The population of the racial category (excluding ethnicity) in the Little Canada is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Little Canada total population. 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 Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of New Canada town by race. It includes the population of New Canada town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of New Canada town across relevant racial categories.

Key observations

The percent distribution of New Canada town population by race (across all racial categories recognized by the U.S. Census Bureau): 75.17% are white, 0.46% are Asian, 19.95% are some other race and 4.41% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the New Canada town
• Population: The population of the racial category (excluding ethnicity) in the New Canada town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of New Canada town total population. 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 Race & Ethnicity. You can refer the same here

Percentage of employees required to be bilingual in English and French, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2024.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Little Canada by race. It includes the distribution of the Non-Hispanic population of Little Canada across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Little Canada across relevant racial categories.

Key observations

Of the Non-Hispanic population in Little Canada, the largest racial group is White alone with a population of 6,860 (70.55% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Little Canada
• Population: The population of the racial category (for Non-Hispanic) in the Little Canada is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Little Canada total Non-Hispanic population. 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 Race & Ethnicity. You can refer the same here

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

Annual population estimates by marital status or legal marital status, age and sex, Canada, provinces and territories.

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

Northwest Territories, Yukon, and Nunavut (representing approximately 0.3 percent of the Canadian population) were excluded.

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for Canada is 1007.

Mode of data collection

Landline and mobile telephone

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

The U.S. Department of Agriculture, Agriculture and Agri-Food Canada, the Russian Academy of Agricultural Sciences, the University of Copenhagen Institute of Geography, the European Soil Bureau, the University of Manchester Institute of Landscape Ecology, MTT Agrifood Research Finland, and the Agricultural Research Institute Iceland have shared data and expertise in order to develop the Northern and Mid Latitude Soil Database (Cryosol Working Group, 2001). This database was the source of data for the current product. The spatial coverage of the Northern and Mid Latitude Soil Database is the polar and mid-latitude regions of the northern hemisphere: Alaska, Canada, Conterminous United States, Eurasia (except Italy), Greenland, Iceland, Kazakstan, Mexico, Mongolia, Italy, and Svalbard. The Northern and Mid Latitude Soil Database represents the proportion (percentage) of polygon encompassed by the dominant soil or nonsoil. Soils include turbels, orthels, histels, histosols, mollisols, vertisols, aridisols, andisols, entisols, spodosols, inceptisols (and hapludolls), alfisols (cryalf and udalf), natric great groups, aqu-suborders, glaciers, and rocklands. Also included are data on the circumpolar distribution of gelisols (turbels, orthels, and histels), and the ice content (low, medium, or high) of circumpolar soil materials (from the International Permafrost Association, 1997). The resulting maps show the dominant soil of the spatial polygon unless the polygon is over 90 percent rock or ice. Data are in the U.S. soil classification system and includes the distribution of soil types (%) within a map unit (polygon). Data are available in ESRI shapefile format and include the same attribute values with the exception of Italy, which does not contain distribution values.

This Alberta Official Statistic shows the proportion of population by mother tongue in the eight Alberta economic regions for the 2011 Census year. Alberta is divided into eight economic regions as follows: Lethbridge – Medicine -Hat; Camrose-Drumheller; Calgary; Banff – Jasper – Rocky Mountain House; Red Deer; Edmonton; Athabasca – Grande Prairie – Peace River; and Wood Buffalo – Cold Lake. Mother tongue refers to the first language learned at home in childhood and still understood by the person on May 10, 2011. Non-official languages are languages other than English or French. According to the 2011 census, 77.8% of Albertans reported English as their mother tongue, followed by a non-official language (20.1%), and French (2.1%). The Red Deer economic region reported the highest proportion of Albertans with English as a mother tongue (89.7%) and the lowest proportion of Albertans with a non-official language as a mother tongue (8.9%), while Calgary reported the lowest proportion (73.4%) of Albertans with English as mother tongue and the highest proportion of Albertans with a non-official language as a mother tongue (24.9%).

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

About this dataset

Context

The dataset tabulates the New Canada town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for New Canada town. The dataset can be utilized to understand the population distribution of New Canada town by age. For example, using this dataset, we can identify the largest age group in New Canada town.

Key observations

The largest age group in New Canada, Maine was for the group of age 10-14 years with a population of 81 (20.00%), according to the 2021 American Community Survey. At the same time, the smallest age group in New Canada, Maine was the 80-84 years with a population of 1 (0.25%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the New Canada town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of New Canada town total population. 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 Age. You can refer the same here

Estimated average scores and percent distribution of 15-year-old students, science, by proficiency level, Programme for International Student Assessment (PISA), Canada, provinces and participating countries, Council of Ministers of Education Canada (CMEC). This table is included in Section C: Elementary-secondary education: Student achievement of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, education finance and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

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

Unemployment in Canada, by Province (1976-Present)

In this dataset, you can access monthly labor market statistics, such as unemployment numbers and percentages from 1976 to the present.

The data is broken out by: - Canada and its provinces (not including territories) - Provides numbers and percentages - Suppresses some values due to privacy

The data are compiled by month, making it a much more accessible version than the one available at a month-by-month level from the Statistics Canada website.

Dimensions

The following dimensions are available: - REF_DATE:The reference period (by year, month) - GEO: The geographic area - Sex: The sex being investigated - Age group: The age group of the economic measure - Employment: Number of persons who, during the reference week, worked for pay or profit, or performed unpaid family work or had a job but were not at work due to own illness or disability, personal or family responsibilities, labour dispute, vacation, or other reason. - Full-time employment: Full-time employment consists of persons who usually work 30 hours or more per week at their main or only job. - Labour force: Number of civilian, non-institutionalized persons 15 years of age and over who, during the reference week, were employed or unemployed. - Part-time employment: Part-time employment consists of persons who usually work less than 30 hours per week at their main or only job. Part-time employment consists of persons who usually work less than 30 hours per week at their main or only job. - Population: Number of persons of working age, 15 years and over. - Unemployment: Number of persons who, during the reference week, were without work, had looked for work in the past four weeks, and were available for work. Those persons on layoff or who had a new job to start in four weeks or less are considered unemployed. - Employment rate: The employment rate is the number of persons employed expressed as a percentage of the population 15 years of age and over. - Participation rate: The participation rate is the number of labour force participants expressed as a percentage of the population 15 years of age and over. - Unemployment rate: The unemployment rate is the number of unemployed persons expressed as a percentage of the labour force.

Source

Table 14-10-0287-03 Labour force characteristics by province, monthly, seasonally adjusted

Ebitda-Per-Share Time Series for IAMGold Corporation. IAMGOLD Corporation, through its subsidiaries, operates as a gold producer and developer in Canada and Burkina Faso. The company owns 100% interest in the Westwood project that covers an area of 1,925 hectare and located in Quebec; 60% interest in the Côté gold project, which covers an area of 596 square kilometer located in Ontario, Canada; and 90% interests in the Essakane project that covers an area of 274,000 square kilometer situated in Burkina Faso. IAMGOLD Corporation was incorporated in 1990 and is headquartered in Toronto, Canada.

About this dataset

Context

The dataset tabulates the New Canada town population by age. The dataset can be utilized to understand the age distribution and demographics of New Canada town.

Content

The dataset constitues the following three datasets

• New Canada, Maine Age Group Population Dataset: A complete breakdown of New Canada town age demographics from 0 to 85 years, distributed across 18 age groups
• New Canada, Maine Age Cohorts Dataset: Children, Working Adults, and Seniors in New Canada town - Population and Percentage Analysis
• New Canada, Maine Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

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/.

This table presents the 2021 and 2016 population and dwelling counts, land area and population density for Canada, the provinces and the territories. It also shows the percentage change in the population and dwelling counts between 2016 and 2021.

About this dataset

Context

The dataset tabulates the Little Canada population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Little Canada. The dataset can be utilized to understand the population distribution of Little Canada by age. For example, using this dataset, we can identify the largest age group in Little Canada.

Key observations

The largest age group in Little Canada, MN was for the group of age 30-34 years with a population of 994 (9.29%), according to the 2021 American Community Survey. At the same time, the smallest age group in Little Canada, MN was the 85+ years with a population of 190 (1.78%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Little Canada is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Little Canada total population. 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 Age. You can refer the same here