Monthly provincial and territorial manufacturing sales, by North American Industry Classification System (NAICS), data in thousands of dollars. Unadjusted and seasonally adjusted values available from January 1992 to the current reference month. Not all combinations are available.

This table contains 360 series, with data for years 1992 - 2008 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (10 items: Newfoundland and Labrador; Prince Edward Island; Nova Scotia; New Brunswick; ...), Manufacturers' opinions (21 items: Production difficulties, skilled labour shortage; Production difficulties, unskilled labour shortage; Production difficulties, raw material shortage; Production difficulties, working capital shortage; ...), North American Industry Classification System (NAICS) (1 item: Manufacturing), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted).

There were ***** food manufacturing establishments in the province of Ontario as of June 2025. In Saskatchewan there were 187 manufacturers of food.

The statistic shows the gross domestic product (GDP) at basic prices for the Canadian food manufacturing industry in 2024, broken down by province in million Canadian dollars. In 2024, the GDP for the food manufacturing sector stood at around **** billion Canadian dollars in Ontario.

This table contains 360 series, with data for years 1992 - 2008 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (10 items: Newfoundland and Labrador; Prince Edward Island; Nova Scotia; New Brunswick; ...), Manufacturers' opinions (21 items: Production difficulties, skilled labour shortage; Production difficulties, unskilled labour shortage; Production difficulties, raw material shortage; Production difficulties, working capital shortage; ...), North American Industry Classification System (NAICS) (1 item: Manufacturing), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted).

The statistic shows the gross domestic product (GDP) at basic prices for the Canadian tobacco product manufacturing industry in 2022, broken down by province. In 2022, the GDP for the tobacco product manufacturing sector stood at *** billion Canadian dollars in Québec, far above the other Canadian provinces.

Business conditions survey, Canadian manufacturing industries, by province

Monthly provincial and territorial manufacturing sales, by North American Industry Classification System (NAICS), data in thousands of dollars. Unadjusted and seasonally adjusted values available from January 1992 to the current reference month. Not all combinations are available.

The statistic shows the gross domestic product (GDP) at basic prices for the Canadian dairy product manufacturing industry in 2022, broken down by province in million Canadian dollars. In 2023, the GDP for the dairy product manufacturing sector stood at just over *** billion Canadian dollars in Ontario.

In 2022, Ontario's food manufacturing revenue made up some ***** percent of the total Canadian food manufacturing revenue. The revenue generated in the region of British Columbia made up approximately eight percent.

This table contains data described by the following dimensions (Not all combinations are available): Geography (17 items: Canada; Atlantic Region; Newfoundland and Labrador; Prince Edward Island; ...) Principal statistics (22 items: Total revenue; Revenue from goods manufactured; Total expenses; Total salaries and wages, direct and indirect labour; ...) North American Industry Classification System (NAICS) (290 items: Manufacturing; Food manufacturing; Animal food manufacturing; Animal food manufacturing; ...).

This statistic shows the number of clothing manufacturing establishments in Canada as of *************, by region. There were *** clothing manufacturing establishments in the province of Quebec as of *************.

There were 47 seasoning and dressing manufacturing establishments in the province of Ontario, Canada as of December 2024. Moreover, there were 26 establishments in the province of British Columbia, Canada.

Innovation, logging and manufacturing industries, percentage of plants' total expenditures on raw materials and components that were supplied from different locations, by type of plant, location of raw materials and components, percentage range of expenditures and the North American Industry Classification System (NAICS) for Canada, provinces and territories in 2005. (Terminated)

Get statistical data on food beverage and tobacco manufacturing sector for Ontario.

Data includes:

• revenue from goods manufactured
• total revenue
• total cost of energy
• water utility
• vehicle fuel, cost of materials and supplies

Statistical data are compiled to serve as a source of agriculture and food statistics for the province of Ontario. Data are prepared primarily by Statistics and Economics staff of the Ministry of Agriculture, Food and Agribusiness, in co-operation with the Agriculture Division of Statistics Canada and various government departments and farm marketing boards.

(StatCan Product) Detailed employed labour force by selected industries (Food and Beverage Manufacturing) for Canada, provinces and Alberta's Economic Regions (annual averages). Customization details: This information product has been customized to present information on employed labour force by selected industries (Food and Beverage Manufacturing) for Canada, provinces and Alberta's Economic Regions (ER). A comparison is also made between Food and Beverage Manufacturing industries that includes tobacco manufacturing to the one that does not. The file includes 5 tables: Table 1: Detailed Employed Labour Force by Selected Industries, Canada and Provinces Table 2a: Alberta Employed Labour Force in the Food Related Industries, Canada and Provinces (Food and Beverage Manufacturing Industries Exludes Tobacco Manufacturing) Table 2b: Alberta Employed Labour Force in Food Related Industries, Canada and Provinces (Food and Beverage Manufacturing Industries includes Tobacco Manufacturing. Table 3: Employed Labour Force, Agriculture and Food and Beverage Manufacturing Industries, Alberta and Alberta Economic Regions. Table 4: Detailed Employed Labour Force for All Industries (4-digit NAICS), Alberta Labour Force Survey The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these. Target population The LFS covers the civilian, non-institutionalized population 15 years of age and over. It is conducted nationwide, in both the provinces and the territories. Excluded from the survey's coverage are: persons living on reserves and other Aboriginal settlements in the provinces; full-time members of the Canadian Armed Forces and the institutionalized population. These groups together represent an exclusion of less than 2% of the Canadian population aged 15 and over. National Labour Force Survey estimates are derived using the results of the LFS in the provinces. Territorial LFS results are not included in the national estimates, but are published separately. Instrument design The current LFS questionnaire was introduced in 1997. At that time, significant changes were made to the questionnaire in order to address existing data gaps, improve data quality and make more use of the power of Computer Assisted Interviewing (CAI). The changes incorporated included the addition of many new questions. For example, questions were added to collect information about wage rates, union status, job permanency and workplace size for the main job of currently employed employees. Other additions included new questions to collect information about hirings and separations, and expanded response category lists that split existing codes into more detailed categories. Sampling This is a sample survey with a cross-sectional design. Data sources Responding to this survey is mandatory. Data are collected directly from survey respondents. Data collection for the LFS is carried out each month during the week following the LFS reference week. The reference week is normally the week containing the 15th day of the month. LFS interviews are conducted by telephone by interviewers working out of a regional office CATI (Computer Assisted Telephone Interviews) site or by personal visit from a field interviewer. Since 2004, dwellings new to the sample in urban areas are contacted by telephone if the telephone number is available from administrative files, otherwise the dwelling is contacted by a field interviewer. The interviewer first obtains socio-demographic information for each household member and then obtains labour force information for all members aged 15 and over who are not members of the regular armed forces. The majority of subsequent interviews are conducted by telephone. In subsequent monthly interviews the interviewer confirms the socio-demographic information collected in the first month and collects the labour force information for the current month. Persons aged 70 and over are not asked the labour force questions in subsequent interviews, but rather their labour force information is carried over from their first interview. In each dwelling, information about all household members is usually obtained from one knowledgeable household member. Such 'proxy' reporting, which accounts for approximately 65% of the information collected, is used to avoid the high cost and extended time requirements that would be involved in repeat visits or calls necessary to obtain information directly from each respondent. Error detection The LFS CAI questionnaire incorporates many features that serve to maximize the quality of the data collected. There are many edits built into the CAI questionnaire to compare the entered data against unusual values, as well as to check for logical inconsistencies. Whenever an edit fails, the interviewer is prompted to correct the information (with the help of the respondent when necessary). For most edit failures the interviewer has the ability to override the edit failure if they cannot resolve the apparent discrepancy. As well, for most questions the interviewer has the ability to enter a response of Don't Know or Refused if the respondent does not answer the question. Once the data is received back at head office an extensive series of processing steps is undertaken to thoroughly verify each record received. This includes the coding of industry and occupation information and the review of interviewer entered notes. The editing and imputation phases of processing involve the identification of logically inconsistent or missing information items, and the correction of such conditions. Since the true value of each entry on the questionnaire is not known, the identification of errors can be done only through recognition of obvious inconsistencies (for example, a 15 year-old respondent who is recorded as having last worked in 1940). Estimation The final step in the processing of LFS data is the assignment of a weight to each individual record. This process involves several steps. Each record has an initial weight that corresponds to the inverse of the probability of selection. Adjustments are made to this weight to account for non-response that cannot be handled through imputation. In the final weighting step all of the record weights are adjusted so that the aggregate totals will match with independently derived population estimates for various age-sex groups by province and major sub-provincial areas. One feature of the LFS weighting process is that all individuals within a dwelling are assigned the same weight. In January 2000, the LFS introduced a new estimation method called Regression Composite Estimation. This new method was used to re-base all historical LFS data. It is described in the research paper ""Improvements to the Labour Force Survey (LFS)"", Catalogue no. 71F0031X. Additional improvements are introduced over time; they are described in different issues of the same publication. Data accuracy Since the LFS is a sample survey, all LFS estimates are subject to both sampling error and non-sampling errors. Non-sampling errors can arise at any stage of the collection and processing of the survey data. These include coverage errors, non-response errors, response errors, interviewer errors, coding errors and other types of processing errors. Non-response to the LFS tends to average about 10% of eligible households. Interviews are instructed to make all reasonable attempts to obtain LFS interviews with members of eligible households. Each month, after all attempts to obtain interviews have been made, a small number of non-responding households remain. For households non-responding to the LFS, a weight adjustment is applied to account for non-responding households. Sampling errors associated with survey estimates are measured using coefficients of variation for LFS estimates as a function of the size of the estimate and the geographic area.

Survey of innovation, logging and manufacturing industries, percentage of plants whose operations were part of a larger firm by the type of plant and the North American Industry Classification System (NAICS) for Canada, provinces and territories in 2005. (Terminated)

Survey of innovation, logging and manufacturing industries, percentage of revenue of plants who introduced new or significantly improved products onto the market before competitors by type of plant, first to the market with product innovations, percentage range of revenue and the North American Industry Classification System (NAICS) for Canada, provinces and territories in 2005. (Terminated)

This table contains 211 series, with data for years 1970 - 1984 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (10 items: Newfoundland and Labrador; Prince Edward Island; Nova Scotia; New Brunswick; ...); Standard Industrial Classification, 1970 (SIC) (22 items: All manufacturing industries; Food and beverage industries; Tobacco products industry; Rubber and plastics products industries; ...).

Volume of water used by the manufacturing industries, by water use parameter, for Canada, provinces, territories or drainage regions. The unit of measure is millions of cubic metres.