Survey of Employment, Payrolls and Hours (SEPH), average weekly hours (including overtime) for employees paid by the hour, by enterprise size and North American Industry Classification System (NAICS), unadjusted for seasonality

Canada SEPH: Average Weekly Earnings: Annual: Information & Cultural Industries data was reported at 1,559.300 CAD in 2022. This records a decrease from the previous number of 1,587.640 CAD for 2021. Canada SEPH: Average Weekly Earnings: Annual: Information & Cultural Industries data is updated yearly, averaging 966.875 CAD from Dec 1991 (Median) to 2022, with 32 observations. The data reached an all-time high of 1,587.640 CAD in 2021 and a record low of 654.710 CAD in 1991. Canada SEPH: Average Weekly Earnings: Annual: Information & Cultural Industries data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.G042: Survey of Employment, Payrolls and Hours: Average Weekly Earnings: Annual: NAICS 2017.

Canada SEPH: Average Weekly Earnings: Annual: Utilities data was reported at 1,995.200 CAD in 2022. This records an increase from the previous number of 1,907.440 CAD for 2021. Canada SEPH: Average Weekly Earnings: Annual: Utilities data is updated yearly, averaging 1,377.025 CAD from Dec 1991 (Median) to 2022, with 32 observations. The data reached an all-time high of 1,995.200 CAD in 2022 and a record low of 855.170 CAD in 1991. Canada SEPH: Average Weekly Earnings: Annual: Utilities data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.G042: Survey of Employment, Payrolls and Hours: Average Weekly Earnings: Annual: NAICS 2017.

This presentation explores the differences and similarities between Statistics Canada's various Labour Family products.

Survey of Employment, Payrolls and Hours (SEPH), average hourly earnings including overtime for salaried employees, by detailed North American Industry Classification System (NAICS)

Canada SEPH: Job Vacancy Rate data was reported at 2.300 % in Aug 2019. This records an increase from the previous number of 2.200 % for Jul 2019. Canada SEPH: Job Vacancy Rate data is updated monthly, averaging 1.600 % from Mar 2011 (Median) to Aug 2019, with 102 observations. The data reached an all-time high of 2.300 % in Aug 2019 and a record low of 1.200 % in Feb 2016. Canada SEPH: Job Vacancy Rate data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.G026: Job Vacancy and Wage Survey: Job Vacancies: NAICS 2017. Replacement series ID: 446800927

SEPH: Average Weekly Earnings: Manufacturing data was reported at 1,308.040 CAD in Dec 2023. This records an increase from the previous number of 1,299.610 CAD for Nov 2023. SEPH: Average Weekly Earnings: Manufacturing data is updated monthly, averaging 918.310 CAD from Jan 1991 (Median) to Dec 2023, with 396 observations. The data reached an all-time high of 1,336.980 CAD in Jun 2023 and a record low of 627.170 CAD in Jan 1991. SEPH: Average Weekly Earnings: Manufacturing data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.G040: Survey of Employment, Payrolls and Hours: Average Weekly Earnings: Seasonally Adjusted: NAICS 2017.

Canada SEPH: Employment: Service: Trade: Wholesale data was reported at 828.251 Person th in Dec 2023. This records an increase from the previous number of 819.711 Person th for Nov 2023. Canada SEPH: Employment: Service: Trade: Wholesale data is updated monthly, averaging 763.341 Person th from Jan 2001 (Median) to Dec 2023, with 276 observations. The data reached an all-time high of 833.046 Person th in Jul 2019 and a record low of 694.964 Person th in Jan 2002. Canada SEPH: Employment: Service: Trade: Wholesale data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.G018: Survey of Employment, Payrolls and Hours: Employment: NAICS 2017.

Graph and download economic data for Employed Persons in St. Joseph County, MI (LAUCN261490000000005) from Jan 1990 to May 2025 about St. Joseph County, MI; MI; household survey; employment; persons; and USA.

SEPH: Employment: Service: Public Administration data was reported at 1,292.332 Person th in Dec 2023. This records an increase from the previous number of 1,285.478 Person th for Nov 2023. SEPH: Employment: Service: Public Administration data is updated monthly, averaging 1,036.979 Person th from Jan 2001 (Median) to Dec 2023, with 276 observations. The data reached an all-time high of 1,314.385 Person th in Jul 2023 and a record low of 796.019 Person th in Jan 2001. SEPH: Employment: Service: Public Administration data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.G018: Survey of Employment, Payrolls and Hours: Employment: NAICS 2017.

Canada SEPH: Employment: sa data was reported at 17,703.758 Person th in Dec 2023. This records an increase from the previous number of 17,654.209 Person th for Nov 2023. Canada SEPH: Employment: sa data is updated monthly, averaging 14,887.440 Person th from Jan 2001 (Median) to Dec 2023, with 276 observations. The data reached an all-time high of 17,729.475 Person th in Sep 2023 and a record low of 12,835.195 Person th in Jan 2001. Canada SEPH: Employment: sa data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.G020: Survey of Employment, Payrolls and Hours: Employment: Seasonally Adjusted: NAICS 2017.

Graph and download economic data for Employed Persons in St. Joseph County, IN (LAUCN181410000000005) from Jan 1990 to May 2025 about St. Joseph County, IN; South Bend; IN; household survey; employment; persons; and USA.

Graph and download economic data for Unemployed Persons in St. Joseph County, MI (LAUCN261490000000004A) from 1990 to 2024 about St. Joseph County, MI; MI; household survey; unemployment; persons; and USA.

About this dataset

Context

The dataset tabulates the Joseph 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 Joseph. The dataset can be utilized to understand the population distribution of Joseph by age. For example, using this dataset, we can identify the largest age group in Joseph.

Key observations

The largest age group in Joseph, UT was for the group of age 20 to 24 years years with a population of 75 (13.44%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Joseph, UT was the 85 years and over years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Joseph is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Joseph 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 Joseph Population by Age. You can refer the same here

Canada SEPH: Average Weekly Hours Worked: Mining & Oil and Gas Extraction data was reported at 43.200 Hour in 2022. This records an increase from the previous number of 42.100 Hour for 2021. Canada SEPH: Average Weekly Hours Worked: Mining & Oil and Gas Extraction data is updated yearly, averaging 40.500 Hour from Dec 1991 (Median) to 2022, with 32 observations. The data reached an all-time high of 43.200 Hour in 2022 and a record low of 38.600 Hour in 2008. Canada SEPH: Average Weekly Hours Worked: Mining & Oil and Gas Extraction data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.G064: Survey of Employment, Payrolls and Hours: Average Weekly Hours Worked: NAICS 2017.

Presents the quarterly job vacancy information of Alberta, by industry and by occupation. Based on data from the quarterly Government of Canada's Job Vacancy and Wage Survey (JVWS). The JVWS replaces the monthly collection of job vacancies through the Survey of Employment, Payrolls and Hours (SEPH), which has been discontinued. This shift in data sources contributed to the gap in reporting between 2018 and 2022.

Graph and download economic data for Employed Persons in DeKalb County, MO (LAUCN290630000000005A) from 1990 to 2024 about De Kalb County, MO; St. Joseph; MO; household survey; employment; persons; and USA.

Canada SEPH: Average Weekly Hours Worked: Forestry, Logging & Support data was reported at 41.300 Hour in 2022. This records an increase from the previous number of 39.600 Hour for 2021. Canada SEPH: Average Weekly Hours Worked: Forestry, Logging & Support data is updated yearly, averaging 39.100 Hour from Dec 1991 (Median) to 2022, with 31 observations. The data reached an all-time high of 41.300 Hour in 2022 and a record low of 36.100 Hour in 1992. Canada SEPH: Average Weekly Hours Worked: Forestry, Logging & Support data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.G064: Survey of Employment, Payrolls and Hours: Average Weekly Hours Worked: NAICS 2017.

About this dataset

Context

The dataset tabulates the population of St. Joseph by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for St. Joseph. The dataset can be utilized to understand the population distribution of St. Joseph by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in St. Joseph. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for St. Joseph.

Key observations

Largest age group (population): Male # 30-34 years (368) | Female # 25-29 years (355). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the St. Joseph population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the St. Joseph is shown in the following column.
• Population (Female): The female population in the St. Joseph is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in St. Joseph for each age group.

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 St. Joseph Population by Gender. You can refer the same here

Graph and download economic data for Civilian Labor Force in St. Joseph County, MI (LAUCN261490000000006A) from 1990 to 2024 about St. Joseph County, MI; MI; civilian; labor force; labor; household survey; and USA.