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The current value of the Non Farm Payrolls in Canada is 18.105 M . The Non Farm Payrolls in Canada increased to 18.105 M on 2/1/2024, after it was 18.09 M on 1/1/2024. From 3/1/1994 to 3/1/2024, the average GDP in Canada was 14.46 M . The all-time high was reached on 3/1/2024 with 18.16 M , while the lowest value was recorded on 3/1/1994 with 10.86 M .
Non Farm Payrolls ·
3 years
5 years
10 years
25 Years
Max
Non-farm Payrolls | |
---|---|
3/1/1994 | 10.86 M |
4/1/1994 | 10.91 M |
5/1/1994 | 10.94 M |
6/1/1994 | 10.96 M |
7/1/1994 | 11.03 M |
8/1/1994 | 11.05 M |
9/1/1994 | 11.05 M |
10/1/1994 | 11.06 M |
11/1/1994 | 11.09 M |
12/1/1994 | 11.14 M |
1/1/1995 | 11.13 M |
2/1/1995 | 11.06 M |
3/1/1995 | 11.09 M |
4/1/1995 | 11.14 M |
5/1/1995 | 11.16 M |
6/1/1995 | 11.23 M |
7/1/1995 | 11.23 M |
8/1/1995 | 11.27 M |
9/1/1995 | 11.32 M |
10/1/1995 | 11.32 M |
11/1/1995 | 11.29 M |
12/1/1995 | 11.28 M |
1/1/1996 | 11.31 M |
2/1/1996 | 11.29 M |
3/1/1996 | 11.24 M |
4/1/1996 | 11.29 M |
5/1/1996 | 11.28 M |
6/1/1996 | 11.27 M |
7/1/1996 | 11.24 M |
8/1/1996 | 11.26 M |
9/1/1996 | 11.26 M |
10/1/1996 | 11.31 M |
11/1/1996 | 11.37 M |
12/1/1996 | 11.4 M |
1/1/1997 | 11.4 M |
2/1/1997 | 11.45 M |
3/1/1997 | 11.5 M |
4/1/1997 | 11.54 M |
5/1/1997 | 11.58 M |
6/1/1997 | 11.64 M |
7/1/1997 | 11.69 M |
8/1/1997 | 11.73 M |
9/1/1997 | 11.74 M |
10/1/1997 | 11.66 M |
11/1/1997 | 11.78 M |
12/1/1997 | 11.82 M |
1/1/1998 | 11.86 M |
2/1/1998 | 11.87 M |
3/1/1998 | 11.85 M |
4/1/1998 | 11.86 M |
5/1/1998 | 11.86 M |
6/1/1998 | 11.86 M |
7/1/1998 | 11.88 M |
8/1/1998 | 11.9 M |
9/1/1998 | 11.92 M |
10/1/1998 | 11.94 M |
11/1/1998 | 11.93 M |
12/1/1998 | 11.93 M |
1/1/1999 | 11.95 M |
2/1/1999 | 11.97 M |
3/1/1999 | 11.99 M |
4/1/1999 | 12 M |
5/1/1999 | 12.01 M |
6/1/1999 | 12.01 M |
7/1/1999 | 12.07 M |
8/1/1999 | 12.06 M |
9/1/1999 | 12.09 M |
10/1/1999 | 12.14 M |
11/1/1999 | 12.18 M |
12/1/1999 | 12.2 M |
1/1/2000 | 12.27 M |
2/1/2000 | 12.28 M |
3/1/2000 | 12.32 M |
4/1/2000 | 12.38 M |
5/1/2000 | 12.39 M |
6/1/2000 | 12.42 M |
7/1/2000 | 12.45 M |
8/1/2000 | 12.53 M |
9/1/2000 | 12.58 M |
10/1/2000 | 12.6 M |
11/1/2000 | 12.65 M |
12/1/2000 | 12.64 M |
1/1/2001 | 12.91 M |
2/1/2001 | 13 M |
3/1/2001 | 12.96 M |
4/1/2001 | 12.97 M |
5/1/2001 | 13.02 M |
6/1/2001 | 12.98 M |
7/1/2001 | 12.93 M |
8/1/2001 | 12.96 M |
9/1/2001 | 12.93 M |
10/1/2001 | 12.95 M |
11/1/2001 | 12.93 M |
12/1/2001 | 12.95 M |
1/1/2002 | 12.98 M |
2/1/2002 | 13.05 M |
3/1/2002 | 13.05 M |
4/1/2002 | 13.07 M |
5/1/2002 | 13.11 M |
6/1/2002 | 13.14 M |
7/1/2002 | 13.18 M |
8/1/2002 | 13.29 M |
9/1/2002 | 13.26 M |
10/1/2002 | 13.26 M |
11/1/2002 | 13.29 M |
12/1/2002 | 13.29 M |
1/1/2003 | 13.35 M |
2/1/2003 | 13.35 M |
3/1/2003 | 13.42 M |
4/1/2003 | 13.4 M |
5/1/2003 | 13.41 M |
6/1/2003 | 13.44 M |
7/1/2003 | 13.42 M |
8/1/2003 | 13.43 M |
9/1/2003 | 13.41 M |
10/1/2003 | 13.47 M |
11/1/2003 | 13.47 M |
12/1/2003 | 13.47 M |
1/1/2004 | 13.53 M |
2/1/2004 | 13.49 M |
3/1/2004 | 13.55 M |
4/1/2004 | 13.61 M |
5/1/2004 | 13.63 M |
6/1/2004 | 13.65 M |
7/1/2004 | 13.7 M |
8/1/2004 | 13.64 M |
9/1/2004 | 13.7 M |
10/1/2004 | 13.72 M |
11/1/2004 | 13.72 M |
12/1/2004 | 13.79 M |
1/1/2005 | 13.79 M |
2/1/2005 | 13.82 M |
3/1/2005 | 13.83 M |
4/1/2005 | 13.88 M |
5/1/2005 | 13.88 M |
6/1/2005 | 13.93 M |
7/1/2005 | 13.93 M |
8/1/2005 | 13.96 M |
9/1/2005 | 13.99 M |
10/1/2005 | 14 M |
11/1/2005 | 14.04 M |
12/1/2005 | 14.08 M |
1/1/2006 | 14.16 M |
2/1/2006 | 14.21 M |
3/1/2006 | 14.22 M |
4/1/2006 | 14.25 M |
5/1/2006 | 14.28 M |
6/1/2006 | 14.31 M |
7/1/2006 | 14.29 M |
8/1/2006 | 14.29 M |
9/1/2006 | 14.33 M |
10/1/2006 | 14.3 M |
11/1/2006 | 14.43 M |
12/1/2006 | 14.46 M |
1/1/2007 | 14.51 M |
2/1/2007 | 14.53 M |
3/1/2007 | 14.53 M |
4/1/2007 | 14.55 M |
5/1/2007 | 14.57 M |
6/1/2007 | 14.6 M |
7/1/2007 | 14.61 M |
8/1/2007 | 14.63 M |
9/1/2007 | 14.63 M |
10/1/2007 | 14.69 M |
11/1/2007 | 14.69 M |
12/1/2007 | 14.69 M |
1/1/2008 | 14.81 M |
2/1/2008 | 14.8 M |
3/1/2008 | 14.84 M |
4/1/2008 | 14.86 M |
5/1/2008 | 14.88 M |
6/1/2008 | 14.9 M |
7/1/2008 | 14.89 M |
8/1/2008 | 14.92 M |
9/1/2008 | 14.91 M |
10/1/2008 | 14.92 M |
11/1/2008 | 14.86 M |
12/1/2008 | 14.81 M |
1/1/2009 | 14.74 M |
2/1/2009 | 14.71 M |
3/1/2009 | 14.64 M |
4/1/2009 | 14.59 M |
5/1/2009 | 14.57 M |
6/1/2009 | 14.55 M |
7/1/2009 | 14.59 M |
8/1/2009 | 14.51 M |
9/1/2009 | 14.55 M |
10/1/2009 | 14.58 M |
11/1/2009 | 14.57 M |
12/1/2009 | 14.59 M |
1/1/2010 | 14.6 M |
2/1/2010 | 14.63 M |
3/1/2010 | 14.65 M |
4/1/2010 | 14.68 M |
5/1/2010 | 14.69 M |
6/1/2010 | 14.73 M |
7/1/2010 | 14.79 M |
8/1/2010 | 14.77 M |
9/1/2010 | 14.81 M |
10/1/2010 | 14.84 M |
11/1/2010 | 14.83 M |
12/1/2010 | 14.89 M |
1/1/2011 | 14.88 M |
2/1/2011 | 14.9 M |
3/1/2011 | 14.93 M |
4/1/2011 | 14.95 M |
5/1/2011 | 14.93 M |
6/1/2011 | 15 M |
7/1/2011 | 15.02 M |
8/1/2011 | 15.01 M |
9/1/2011 | 15.07 M |
10/1/2011 | 15.06 M |
11/1/2011 | 15.09 M |
12/1/2011 | 15.1 M |
1/1/2012 | 15.1 M |
2/1/2012 | 15.09 M |
3/1/2012 | 15.13 M |
4/1/2012 | 15.19 M |
5/1/2012 | 15.26 M |
6/1/2012 | 15.29 M |
7/1/2012 | 15.3 M |
8/1/2012 | 15.33 M |
9/1/2012 | 15.33 M |
10/1/2012 | 15.31 M |
11/1/2012 | 15.34 M |
12/1/2012 | 15.32 M |
1/1/2013 | 15.33 M |
2/1/2013 | 15.37 M |
3/1/2013 | 15.4 M |
4/1/2013 | 15.41 M |
5/1/2013 | 15.39 M |
6/1/2013 | 15.38 M |
7/1/2013 | 15.44 M |
8/1/2013 | 15.51 M |
9/1/2013 | 15.49 M |
10/1/2013 | 15.52 M |
11/1/2013 | 15.52 M |
12/1/2013 | 15.51 M |
1/1/2014 | 15.51 M |
2/1/2014 | 15.51 M |
3/1/2014 | 15.54 M |
4/1/2014 | 15.54 M |
5/1/2014 | 15.61 M |
6/1/2014 | 15.63 M |
7/1/2014 | 15.66 M |
8/1/2014 | 15.71 M |
9/1/2014 | 15.69 M |
10/1/2014 | 15.71 M |
11/1/2014 | 15.69 M |
12/1/2014 | 15.69 M |
1/1/2015 | 15.74 M |
2/1/2015 | 15.74 M |
3/1/2015 | 15.74 M |
4/1/2015 | 15.78 M |
5/1/2015 | 15.82 M |
6/1/2015 | 15.79 M |
7/1/2015 | 15.82 M |
8/1/2015 | 15.8 M |
9/1/2015 | 15.82 M |
10/1/2015 | 15.88 M |
11/1/2015 | 15.85 M |
12/1/2015 | 15.89 M |
1/1/2016 | 15.88 M |
2/1/2016 | 15.86 M |
3/1/2016 | 15.89 M |
4/1/2016 | 15.96 M |
5/1/2016 | 15.96 M |
6/1/2016 | 16.02 M |
7/1/2016 | 16.02 M |
8/1/2016 | 15.99 M |
9/1/2016 | 16.06 M |
10/1/2016 | 16.05 M |
11/1/2016 | 16.07 M |
12/1/2016 | 16.13 M |
1/1/2017 | 16.11 M |
2/1/2017 | 16.17 M |
3/1/2017 | 16.18 M |
4/1/2017 | 16.2 M |
5/1/2017 | 16.24 M |
6/1/2017 | 16.34 M |
7/1/2017 | 16.35 M |
8/1/2017 | 16.4 M |
9/1/2017 | 16.43 M |
10/1/2017 | 16.4 M |
11/1/2017 | 16.42 M |
12/1/2017 | 16.49 M |
1/1/2018 | 16.49 M |
2/1/2018 | 16.53 M |
3/1/2018 | 16.58 M |
4/1/2018 | 16.59 M |
5/1/2018 | 16.66 M |
6/1/2018 | 16.7 M |
7/1/2018 | 16.68 M |
8/1/2018 | 16.71 M |
9/1/2018 | 16.75 M |
10/1/2018 | 16.79 M |
11/1/2018 | 16.81 M |
12/1/2018 | 16.8 M |
1/1/2019 | 16.88 M |
2/1/2019 | 16.92 M |
3/1/2019 | 16.94 M |
4/1/2019 | 16.95 M |
5/1/2019 | 17 M |
6/1/2019 | 17 M |
7/1/2019 | 17.06 M |
8/1/2019 | 17.08 M |
9/1/2019 | 17.06 M |
10/1/2019 | 17.07 M |
11/1/2019 | 17.08 M |
12/1/2019 | 17.09 M |
1/1/2020 | 17.13 M |
2/1/2020 | 17.11 M |
3/1/2020 | 16.14 M |
4/1/2020 | 14.27 M |
5/1/2020 | 13.76 M |
6/1/2020 | 14.43 M |
7/1/2020 | 15.16 M |
8/1/2020 | 15.48 M |
9/1/2020 | 15.82 M |
10/1/2020 | 15.99 M |
11/1/2020 | 15.94 M |
12/1/2020 | 16 M |
1/1/2021 | 15.87 M |
2/1/2021 | 15.94 M |
3/1/2021 | 16.18 M |
4/1/2021 | 16.32 M |
5/1/2021 | 16.09 M |
6/1/2021 | 16.33 M |
7/1/2021 | 16.62 M |
8/1/2021 | 16.7 M |
9/1/2021 | 16.79 M |
10/1/2021 | 16.91 M |
11/1/2021 | 16.97 M |
12/1/2021 | 17.07 M |
1/1/2022 | 17.08 M |
2/1/2022 | 17.2 M |
3/1/2022 | 17.33 M |
4/1/2022 | 17.47 M |
5/1/2022 | 17.45 M |
6/1/2022 | 17.59 M |
7/1/2022 | 17.62 M |
8/1/2022 | 17.6 M |
9/1/2022 | 17.7 M |
10/1/2022 | 17.69 M |
11/1/2022 | 17.75 M |
12/1/2022 | 17.8 M |
1/1/2023 | 17.88 M |
2/1/2023 | 17.92 M |
3/1/2023 | 17.93 M |
4/1/2023 | 17.86 M |
5/1/2023 | 18 M |
6/1/2023 | 18.06 M |
7/1/2023 | 18.07 M |
8/1/2023 | 18.05 M |
9/1/2023 | 18.09 M |
10/1/2023 | 18.07 M |
11/1/2023 | 18 M |
12/1/2023 | 18.05 M |
1/1/2024 | 18.09 M |
2/1/2024 | 18.11 M |
Non Farm Payrolls History
Date | Value |
---|---|
2/1/2024 | 18.105 M |
1/1/2024 | 18.09 M |
12/1/2023 | 18.054 M |
11/1/2023 | 18.003 M |
10/1/2023 | 18.065 M |
9/1/2023 | 18.085 M |
8/1/2023 | 18.049 M |
7/1/2023 | 18.066 M |
6/1/2023 | 18.064 M |
5/1/2023 | 17.998 M |
Similar Macro Indicators to Non Farm Payrolls
Name | Current | Previous | Frequency |
---|---|---|---|
🇨🇦 Average Hourly Earnings | 36.01 CAD | 35.77 CAD | Monthly |
🇨🇦 Average Weekly Earnings | 1,235.68 CAD | 1,230.05 CAD | Monthly |
🇨🇦 Employed persons | 20.582 M | 20.536 M | Monthly |
🇨🇦 Employment Change | 26,700 | 90,400 | Monthly |
🇨🇦 Employment rate | 60.7 % | 60.8 % | Monthly |
🇨🇦 Full-time employment | -35,600 | 40,100 | Monthly |
🇨🇦 Job Opportunities | 646,365 | 737,555 | Quarter |
🇨🇦 Labor costs | 133.625 points | 132.619 points | Quarter |
🇨🇦 Labor force participation rate | 65.4 % | 65.4 % | Monthly |
🇨🇦 Minimum Wages | 17.2 CAD/Hour | 16.55 CAD/Hour | Annually |
🇨🇦 Part-time work | -65,300 | 65,700 | Monthly |
🇨🇦 Population | 40.8 M | 39.293 M | Annually |
🇨🇦 Productivity | 99.96 points | 100.23 points | Quarter |
🇨🇦 Retirement Age Men | 65 Years | 65 Years | Annually |
🇨🇦 Retirement Age Women | 65 Years | 65 Years | Annually |
🇨🇦 Unemployed Persons | 1.399 M | 1.407 M | Monthly |
🇨🇦 Unemployment Rate | 6.5 % | 6.6 % | Monthly |
🇨🇦 Wage Growth | 3.7 % | 4.2 % | Monthly |
🇨🇦 Wages | 30.72 CAD/Hour | 30.88 CAD/Hour | Monthly |
🇨🇦 Wages in Manufacturing | 30.46 CAD/Hour | 30.64 CAD/Hour | Monthly |
🇨🇦 Youth Unemployment Rate | 13.5 % | 14.5 % | Monthly |
In Canada, non-farm payroll employment data encompass all hourly and salaried employees, in addition to the "other employees" category, which includes piece-rate and commission-only employees.
Macro pages for other countries in America
- 🇦🇷Argentina
- 🇦🇼Aruba
- 🇧🇸Bahamas
- 🇧🇧Barbados
- 🇧🇿Belize
- 🇧🇲Bermuda
- 🇧🇴Bolivia
- 🇧🇷Brazil
- 🇰🇾Cayman Islands
- 🇨🇱Chile
- 🇨🇴Colombia
- 🇨🇷Costa Rica
- 🇨🇺Cuba
- 🇩🇴Dominican Republic
- 🇪🇨Ecuador
- 🇸🇻El Salvador
- 🇬🇹Guatemala
- 🇬🇾Guyana
- 🇭🇹Haiti
- 🇭🇳Honduras
- 🇯🇲Jamaica
- 🇲🇽Mexico
- 🇳🇮Nicaragua
- 🇵🇦Panama
- 🇵🇾Paraguay
- 🇵🇪Peru
- 🇵🇷Puerto Rico
- 🇸🇷Suriname
- 🇹🇹Trinidad and Tobago
- 🇺🇸United States
- 🇺🇾Uruguay
- 🇻🇪Venezuela
- 🇦🇬Antigua and Barbuda
- 🇩🇲Dominica
- 🇬🇩Grenada
What is Non Farm Payrolls?
Non-farm payrolls, often abbreviated as NFP, represent one of the most significant indicators in the realm of macroeconomics. This pivotal data point provides a comprehensive reflection of economic activity in the United States by measuring the number of jobs added or lost within the economy over a specified period, excluding farm workers, private household employees, and employees of non-profit organizations. Our website, Eulerpool, is dedicated to presenting detailed and accurate macroeconomic data, and the non-farm payrolls data is a vital element in our suite of economic indicators. In essence, the non-farm payrolls report, which is released by the Bureau of Labor Statistics (BLS) on the first Friday of every month, offers a snapshot of the labor market's health and, by extension, the overall economy. The data provides insights into the number of new jobs created, the unemployment rate, and average hourly earnings, which collectively help analysts, economists, and policymakers gauge the economic trajectory. The significance of non-farm payrolls cannot be overstated. Firstly, employment levels are directly correlated with consumer spending, which accounts for a substantial portion of economic activity. More jobs typically mean more disposable income, consequently driving demand for goods and services. This, in turn, spurs business investment, stimulates production, and fosters economic growth. Conversely, a decline in employment can signal economic distress, reduced consumer spending, and a potential slowdown. Investors and market participants pay close attention to the non-farm payrolls data as it often influences financial markets. A robust employment report can spark optimism, leading to higher stock prices and an appreciation of the domestic currency due to anticipations of stronger economic performance. On the other hand, a weaker-than-expected payrolls report can induce market volatility and result in declines in stock prices and currency values. Therefore, the non-farm payrolls report is a crucial gauge for making informed investment decisions. Moreover, the non-farm payrolls data plays a fundamental role in the formulation of monetary policy. The Federal Reserve, which is tasked with managing inflation and ensuring maximum employment, closely monitors this data. Strong employment growth may prompt the Federal Reserve to raise interest rates to prevent the economy from overheating and to keep inflation in check. Conversely, stagnant or declining employment figures might lead the Fed to adopt a more accommodative stance, such as reducing interest rates or engaging in quantitative easing to stimulate economic activity. At Eulerpool, we understand the importance of providing reliable and timely macroeconomic data, including non-farm payrolls, to support analysis and decision-making. Our platform not only presents the actual headline figures but also provides context by displaying historical trends, allowing users to discern patterns and make predictive assessments. Historical context is instrumental in understanding how employment trends evolve in response to economic cycles, policy changes, and global events. Furthermore, our in-depth analysis delves into the details of the non-farm payrolls report. For example, we examine job creation across various sectors such as manufacturing, services, construction, and healthcare. Sector analysis reveals which parts of the economy are expanding and which are contracting, providing insights into industry-specific dynamics. This granularity is essential for businesses and investors who need to understand sectoral performance to tailor their strategies accordingly. Another critical aspect of the non-farm payrolls data that we highlight is the average hourly earnings. Wage growth is a key indicator of inflationary pressures within the economy. Rising wages can lead to increased consumer spending, but they can also contribute to higher inflation if businesses pass on the additional labor costs to consumers in the form of higher prices. By tracking wage trends, our users can gain insights into potential inflationary trends and the implications for monetary policy and investment decisions. Unemployment rate data, which is part of the non-farm payrolls report, is another focal point on our platform. The unemployment rate reflects the percentage of the labor force that is actively seeking work but unable to find employment. A declining unemployment rate suggests an improving labor market, while an increasing rate may indicate economic challenges. At Eulerpool, we provide detailed breakdowns of the unemployment rate by age, gender, education level, and race, thereby offering a comprehensive view of the labor market's inclusivity and areas where disparities may exist. Furthermore, our users can benefit from our forecasts and expert commentary on non-farm payrolls. Predictive analytics and expert insights help users anticipate future trends and adjust their strategies accordingly. For instance, by leveraging leading indicators such as initial jobless claims and other labor market data, users can form expectations about upcoming non-farm payrolls reports and their potential market implications. In summary, the non-farm payrolls data serves as a critical barometer of economic health and has far-reaching implications across various domains. At Eulerpool, we are committed to delivering accurate, timely, and detailed non-farm payrolls data and analysis to empower our users to make well-informed decisions. Whether you are an investor, policymaker, business leader, or economist, our platform equips you with the essential tools and insights to navigate the complexities of the labor market and its broader economic context. Through our comprehensive coverage and sophisticated analytical tools, Eulerpool stands as a trusted resource for all your macroeconomic data needs.