Improvements to the Labour Force Survey (LFS)
The 2021 Revisions of the Labour Force Survey (LFS)

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Release date: January 25, 2021

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1.0 Introduction

The Labour Force Survey (LFS) provides estimates of employment and unemployment, which are among the most timely and important measures of the performance of the Canadian economy. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of Statistics Canada’s major monthly economic data series to be released.

Statistics Canada has an established history of applying a standard revision to LFS estimates following the release of final population estimates from each census. This standard revision process ensures the continued accuracy and quality of LFS information by ensuring that survey estimates reflect the size and composition of Canadian society. Resulting changes to recent and historical LFS data are relatively minor and have little impact on trends in key labour market indicators, such as employment, unemployment, and participation rates.

At the same time as the population rebasing, the LFS estimates are aligned with the most recent classifications for industry (North American Industry Classification System (NAICS) 2017 V3.0), occupation (National Occupational Classification (NOC) 2016 V1.3) and geography (2016 Census of Population boundaries) to better reflect the Canadian labour market.

The purpose of this document is to explain each of these changes. It should be noted that these changes do not involve modifications to the questionnaire nor to the content of the survey.

The following is a summary of each change:

  • Population rebasing: Until December 2020, labour force estimates were based on population counts from the 2011 Census of Population. As of January 2021, the estimates have been adjusted to reflect population counts from the 2016 Census. This revision had minor impacts on the LFS estimates, while rates of unemployment, employment and labour force participation were essentially unchanged. Given the minimal changes to the estimates, only revisions back to 2006 were necessary. However, revisions for seasonal adjustment were applied back to 2002 and for trend-line series back to 2001 (see Section 2.0 and Appendix A for more details).
  • Geographic boundaries: Census metropolitan areas (CMAs), economic regions (ERs) and census agglomerations (CAs) are now based on 2016 Census boundaries. Two new CMAs were added (Belleville, Ontario and Lethbridge, Alberta). There is no change to the Employment Insurance Economic Regions (EIERs) (see Section 4.0 and Appendix B for more details).
  • Industry and occupation classification update: The LFS now uses the North American Industry Classification System (NAICS) 2017 V3.0 and the National Occupational Classification (NOC) 2016 V1.3. The historical series was revised back to 1987. These changes do not impact any published data tables on the website, only the microdata (see Section 5.0 for more details).
  • Updates to family type and marital status variables (see Section 9.0 for more details).

2.0 Rebasing of LFS population control totals

The LFS uses population control totals, which are derived independently from the survey, as benchmarks for producing survey estimates. Proper demographic population control totals, in which each individual in the sample is assigned a weight indicating the number of persons in the population that the individual represents, are crucial in calculating estimates from a sample survey like the LFS. In addition, monthly population control totals reduce the sampling variability and the risk of coverage bias of survey estimates.

LFS population control totals are updated each month to reflect births, deaths and net migration using administrative data (for more detailed information, see Appendix A). The starting point for these monthly totals is a population based on the most recently available population estimates.

Beginning with the release of the January 2021 LFS data, LFS estimates will be calculated using population control totals based on 2016 Census rather than 2011 Census population control totals.

2.1 Impact of rebasing on LFS population control totals

LFS population control totals have been revised from January 2006 to December 2020. In general, they have been revised downward and the magnitude of the revision varies over the period.

At the national level, for the working-age population (aged 15 and over), the differences are negligible between January 2006 and July 2011 (Chart 1). Over that period, the new population control totals are slightly higher on average by 4,900 (+0.0%), than the previous population counts.

Chart 1

Data table for Chart 1 
Data table for Chart 1
Table summary
This table displays the results of Data table for Chart 1 Percent difference (appearing as column headers).
Percent difference
2006 January 0.006
February 0.010
March 0.014
April 0.018
May 0.023
June 0.027
July 0.030
August 0.032
September 0.032
October 0.033
November 0.034
December 0.032
2007 January 0.030
February 0.030
March 0.030
April 0.031
May 0.031
June 0.031
July 0.028
August 0.026
September 0.027
October 0.026
November 0.026
December 0.028
2008 January 0.026
February 0.025
March 0.025
April 0.026
May 0.026
June 0.027
July 0.024
August 0.023
September 0.023
October 0.022
November 0.020
December 0.021
2009 January 0.019
February 0.017
March 0.019
April 0.018
May 0.020
June 0.021
July 0.017
August 0.019
September 0.019
October 0.014
November 0.016
December 0.015
2010 January 0.013
February 0.010
March 0.011
April 0.013
May 0.012
June 0.012
July 0.009
August 0.008
September 0.008
October 0.004
November 0.004
December 0.001
2011 January -0.001
February -0.005
March -0.003
April 0.000
May 0.005
June 0.011
July -0.013
August -0.038
September -0.059
October -0.074
November -0.087
December -0.097
2012 January -0.115
February -0.129
March -0.141
April -0.154
May -0.166
June -0.177
July -0.196
August -0.206
September -0.218
October -0.228
November -0.241
December -0.254
2013 January -0.280
February -0.295
March -0.307
April -0.323
May -0.333
June -0.347
July -0.366
August -0.373
September -0.383
October -0.392
November -0.401
December -0.417
2014 January -0.434
February -0.445
March -0.446
April -0.451
May -0.455
June -0.463
July -0.476
August -0.480
September -0.491
October -0.495
November -0.499
December -0.531
2015 January -0.573
February -0.603
March -0.627
April -0.655
May -0.672
June -0.692
July -0.720
August -0.735
September -0.747
October -0.762
November -0.777
December -0.771
2016 January -0.758
February -0.738
March -0.742
April -0.722
May -0.708
June -0.686
July -0.697
August -0.664
September -0.645
October -0.620
November -0.599
December -0.576
2017 January -0.546
February -0.534
March -0.524
April -0.520
May -0.503
June -0.489
July -0.471
August -0.438
September -0.410
October -0.384
November -0.360
December -0.340
2018 January -0.310
February -0.297
March -0.284
April -0.267
May -0.255
June -0.243
July -0.223
August -0.208
September -0.186
October -0.174
November -0.164
December -0.157
2019 January -0.153
February -0.147
March -0.130
April -0.120
May -0.104
June -0.104
July -0.112
August -0.131
September -0.149
October -0.174
November -0.195
December -0.216
2020 January -0.230
February -0.253
March -0.306
April -0.323
May -0.338
June -0.352
July -0.353
August -0.349
September -0.356
October -0.356
November -0.365
December -0.384

The series diverge the most beginning in August 2011, reaching a maximum difference of 229,000 (-0.8%) in November 2015. The differences are smaller by June 2019 when the new series is 31,800 (-0.1%) lower than the previous series.

From June 2019 onward, the difference starts to increase again, reaching 120,000 (-0.4%) in December 2020. This difference in December 2020 is similar to the difference with the 2015 rebasing when LFS estimates were rebased from the 2006 to 2011 Census population counts. In December 2014, the difference in the population control totals was -73,000 (-0.3%).

Differences by gender and age groups

The population control totals for youth were affected differently by the revision than were the estimates for older age groups (Chart 2). By December 2020, the new population count for youth was higher by 1.7%, while it was 0.5% lower for those aged 55 and over. For men aged 25 to 54, the population estimate was 0.7% lower and for women in the same age group, 1.1% lower.

Youth are particularly affected by slight revisions in the methodology used to estimate stocks of non-permanent residents (NPRs), given that NPRs are more numerous among this age group. This can be explained in two ways. First, the impact of the rebasing of the demographic estimates (errors of closure) is usually larger for adults in their twenties. Also, the combined impact of the marked increase in NPR stocks and differences in estimation methods (interpolation and 12-month moving average) is more important for the population at these ages where NPRs are proportionally more numerous. As a result, the NPR stocks of the revised series are higher than those of the unrevised.

Chart 2

Data table for Chart 2 
Data table for Chart 2
Table summary
This table displays the results of Data table for Chart 2 Both sexes: 15 to 24 years, Men: 25 to 54 years, Women: 25 to 54 years and Both sexes: 55 years and over, calculated using percent difference units of measure (appearing as column headers).
Both sexes: 15 to 24 years Men: 25 to 54 years Women: 25 to 54 years Both sexes: 55 years and over
percent difference
2006 January 0.002 0.000 -0.004 0.023
February 0.000 0.001 -0.006 0.037
March 0.000 0.003 -0.006 0.047
April 0.000 0.004 -0.010 0.064
May 0.000 0.003 -0.013 0.085
June 0.000 0.007 -0.013 0.098
July -0.002 0.007 -0.016 0.112
August 0.000 0.010 -0.014 0.116
September 0.000 0.010 -0.014 0.116
October 0.002 0.008 -0.014 0.114
November 0.002 0.010 -0.013 0.116
December 0.002 0.007 -0.017 0.116
2007 January -0.005 0.003 -0.020 0.118
February -0.002 0.003 -0.020 0.117
March -0.002 0.003 -0.020 0.118
April 0.000 0.004 -0.020 0.120
May 0.000 0.003 -0.020 0.118
June -0.002 0.004 -0.018 0.117
July 0.002 0.004 -0.020 0.105
August -0.002 0.001 -0.020 0.106
September 0.002 0.001 -0.018 0.103
October -0.002 0.001 -0.020 0.105
November 0.000 0.003 -0.020 0.104
December -0.002 0.004 -0.020 0.109
2008 January -0.005 0.001 -0.022 0.106
February -0.005 0.000 -0.024 0.108
March -0.007 -0.003 -0.025 0.110
April -0.005 0.000 -0.022 0.109
May -0.002 0.000 -0.024 0.108
June -0.007 -0.001 -0.022 0.112
July 0.000 0.003 -0.021 0.096
August -0.005 -0.001 -0.024 0.099
September -0.005 -0.003 -0.025 0.102
October -0.005 -0.003 -0.025 0.100
November -0.005 -0.007 -0.028 0.099
December -0.005 -0.006 -0.027 0.099
2009 January -0.014 -0.010 -0.032 0.102
February -0.014 -0.013 -0.035 0.103
March -0.009 -0.007 -0.032 0.101
April -0.011 -0.010 -0.031 0.100
May -0.009 -0.008 -0.029 0.103
June -0.014 -0.007 -0.026 0.103
July -0.014 -0.004 -0.028 0.089
August -0.011 -0.004 -0.025 0.090
September -0.011 -0.004 -0.025 0.092
October -0.016 -0.008 -0.031 0.087
November -0.016 -0.006 -0.026 0.088
December -0.016 -0.010 -0.029 0.090
2010 January -0.016 -0.014 -0.035 0.090
February -0.018 -0.015 -0.035 0.085
March -0.020 -0.015 -0.036 0.086
April -0.020 -0.013 -0.033 0.087
May -0.018 -0.014 -0.035 0.086
June -0.018 -0.011 -0.032 0.086
July -0.027 -0.011 -0.033 0.080
August -0.031 -0.011 -0.030 0.078
September -0.036 -0.014 -0.028 0.076
October -0.040 -0.015 -0.029 0.073
November -0.049 -0.015 -0.028 0.073
December -0.056 -0.017 -0.029 0.070
2011 January -0.061 -0.021 -0.030 0.069
February -0.067 -0.024 -0.032 0.064
March -0.061 -0.021 -0.029 0.062
April -0.052 -0.018 -0.023 0.062
May -0.043 -0.008 -0.014 0.057
June -0.027 -0.001 -0.006 0.055
July -0.081 -0.012 -0.036 0.037
August -0.145 -0.036 -0.039 0.018
September -0.201 -0.055 -0.044 -0.001
October -0.244 -0.068 -0.039 -0.022
November -0.284 -0.078 -0.036 -0.041
December -0.310 -0.087 -0.033 -0.051
2012 January -0.359 -0.100 -0.032 -0.071
February -0.406 -0.116 -0.029 -0.082
March -0.446 -0.125 -0.026 -0.097
April -0.488 -0.134 -0.026 -0.107
May -0.526 -0.144 -0.025 -0.119
June -0.559 -0.155 -0.025 -0.127
July -0.612 -0.159 -0.025 -0.157
August -0.647 -0.165 -0.025 -0.167
September -0.685 -0.170 -0.025 -0.180
October -0.718 -0.174 -0.023 -0.192
November -0.758 -0.184 -0.026 -0.204
December -0.796 -0.190 -0.029 -0.220
2013 January -0.843 -0.209 -0.041 -0.252
February -0.876 -0.220 -0.048 -0.267
March -0.909 -0.230 -0.054 -0.275
April -0.951 -0.238 -0.063 -0.289
May -0.976 -0.246 -0.069 -0.295
June -1.011 -0.256 -0.078 -0.307
July -1.051 -0.264 -0.082 -0.334
August -1.078 -0.265 -0.085 -0.342
September -1.116 -0.271 -0.088 -0.349
October -1.138 -0.273 -0.092 -0.361
November -1.161 -0.278 -0.096 -0.368
December -1.195 -0.289 -0.108 -0.383
2014 January -1.220 -0.306 -0.126 -0.398
February -1.241 -0.316 -0.137 -0.405
March -1.241 -0.313 -0.138 -0.408
April -1.240 -0.315 -0.151 -0.416
May -1.236 -0.314 -0.155 -0.426
June -1.231 -0.323 -0.170 -0.438
July -1.234 -0.324 -0.175 -0.466
August -1.221 -0.327 -0.186 -0.475
September -1.220 -0.325 -0.205 -0.493
October -1.177 -0.324 -0.226 -0.513
November -1.167 -0.318 -0.231 -0.528
December -1.203 -0.351 -0.271 -0.553
2015 January -1.254 -0.396 -0.312 -0.592
February -1.280 -0.426 -0.345 -0.618
March -1.310 -0.455 -0.384 -0.630
April -1.344 -0.493 -0.424 -0.637
May -1.368 -0.519 -0.440 -0.644
June -1.387 -0.552 -0.473 -0.648
July -1.421 -0.589 -0.502 -0.664
August -1.434 -0.621 -0.524 -0.662
September -1.433 -0.645 -0.554 -0.659
October -1.434 -0.664 -0.589 -0.664
November -1.424 -0.690 -0.629 -0.667
December -1.392 -0.683 -0.641 -0.659
2016 January -1.361 -0.664 -0.644 -0.649
February -1.315 -0.650 -0.644 -0.622
March -1.286 -0.654 -0.664 -0.628
April -1.210 -0.633 -0.655 -0.625
May -1.127 -0.622 -0.667 -0.620
June -1.058 -0.593 -0.660 -0.615
July -0.967 -0.634 -0.713 -0.618
August -0.708 -0.645 -0.727 -0.614
September -0.553 -0.653 -0.734 -0.615
October -0.396 -0.646 -0.733 -0.617
November -0.245 -0.641 -0.728 -0.626
December -0.105 -0.634 -0.724 -0.628
2017 January 0.094 -0.629 -0.729 -0.624
February 0.232 -0.641 -0.749 -0.624
March 0.351 -0.663 -0.769 -0.617
April 0.473 -0.690 -0.789 -0.621
May 0.627 -0.700 -0.797 -0.624
June 0.738 -0.707 -0.795 -0.625
July 0.846 -0.696 -0.790 -0.630
August 1.007 -0.676 -0.781 -0.624
September 1.124 -0.647 -0.770 -0.616
October 1.237 -0.621 -0.761 -0.614
November 1.353 -0.602 -0.758 -0.607
December 1.447 -0.583 -0.756 -0.604
2018 January 1.576 -0.550 -0.763 -0.588
February 1.661 -0.551 -0.772 -0.582
March 1.749 -0.552 -0.778 -0.573
April 1.847 -0.546 -0.790 -0.562
May 1.920 -0.541 -0.805 -0.551
June 1.977 -0.534 -0.813 -0.540
July 2.049 -0.513 -0.810 -0.528
August 2.115 -0.496 -0.811 -0.522
September 2.200 -0.473 -0.795 -0.520
October 2.263 -0.469 -0.796 -0.513
November 2.327 -0.460 -0.799 -0.513
December 2.370 -0.465 -0.805 -0.505
2019 January 2.389 -0.457 -0.814 -0.500
February 2.427 -0.456 -0.817 -0.496
March 2.449 -0.427 -0.806 -0.486
April 2.472 -0.406 -0.798 -0.485
May 2.502 -0.383 -0.784 -0.478
June 2.511 -0.376 -0.784 -0.484
July 2.467 -0.367 -0.780 -0.496
August 2.397 -0.378 -0.785 -0.509
September 2.310 -0.395 -0.792 -0.509
October 2.222 -0.410 -0.809 -0.520
November 2.134 -0.425 -0.828 -0.522
December 2.078 -0.450 -0.850 -0.524
2020 January 2.023 -0.458 -0.857 -0.533
February 1.957 -0.486 -0.882 -0.531
March 1.860 -0.571 -0.959 -0.534
April 1.801 -0.596 -0.979 -0.525
May 1.744 -0.619 -0.999 -0.517
June 1.713 -0.647 -1.027 -0.507
July 1.727 -0.661 -1.032 -0.500
August 1.757 -0.657 -1.034 -0.502
September 1.779 -0.674 -1.054 -0.505
October 1.784 -0.678 -1.063 -0.500
November 1.781 -0.693 -1.085 -0.498
December 1.725 -0.723 -1.115 -0.489

In general, population control totals for both men and women of working age (15 years and older) were revised downward, but more so for women than men (Chart 3).

Chart 3

Data table for Chart 3 
Data table for Chart 3
Table summary
This table displays the results of Data table for Chart 3 Men and Women, calculated using percent difference units of measure (appearing as column headers).
Men Women
percent difference
2006 January 0.006 0.005
February 0.012 0.008
March 0.016 0.011
April 0.021 0.014
May 0.027 0.018
June 0.032 0.023
July 0.037 0.024
August 0.039 0.027
September 0.040 0.026
October 0.038 0.027
November 0.039 0.028
December 0.038 0.026
2007 January 0.035 0.025
February 0.034 0.025
March 0.035 0.025
April 0.036 0.027
May 0.035 0.026
June 0.035 0.026
July 0.032 0.023
August 0.031 0.022
September 0.030 0.024
October 0.031 0.022
November 0.031 0.022
December 0.032 0.024
2008 January 0.030 0.021
February 0.030 0.021
March 0.029 0.021
April 0.030 0.022
May 0.030 0.023
June 0.030 0.023
July 0.028 0.021
August 0.025 0.021
September 0.026 0.020
October 0.025 0.020
November 0.022 0.019
December 0.023 0.020
2009 January 0.020 0.016
February 0.020 0.015
March 0.023 0.016
April 0.019 0.017
May 0.021 0.020
June 0.021 0.021
July 0.019 0.015
August 0.020 0.017
September 0.021 0.017
October 0.016 0.012
November 0.019 0.014
December 0.017 0.014
2010 January 0.014 0.011
February 0.011 0.010
March 0.012 0.009
April 0.013 0.011
May 0.014 0.009
June 0.015 0.011
July 0.010 0.009
August 0.010 0.008
September 0.009 0.006
October 0.007 0.004
November 0.005 0.003
December 0.004 -0.001
2011 January 0.001 -0.003
February -0.002 -0.007
March 0.001 -0.006
April 0.004 -0.003
May 0.010 0.001
June 0.017 0.006
July -0.002 -0.025
August -0.027 -0.046
September -0.049 -0.067
October -0.064 -0.083
November -0.078 -0.098
December -0.086 -0.108
2012 January -0.102 -0.126
February -0.117 -0.140
March -0.129 -0.153
April -0.140 -0.168
May -0.152 -0.179
June -0.161 -0.192
July -0.176 -0.215
August -0.184 -0.228
September -0.193 -0.242
October -0.201 -0.254
November -0.212 -0.269
December -0.224 -0.285
2013 January -0.246 -0.314
February -0.259 -0.331
March -0.268 -0.344
April -0.279 -0.365
May -0.287 -0.376
June -0.299 -0.392
July -0.313 -0.415
August -0.318 -0.426
September -0.326 -0.439
October -0.332 -0.451
November -0.339 -0.460
December -0.353 -0.478
2014 January -0.369 -0.497
February -0.377 -0.511
March -0.375 -0.514
April -0.376 -0.525
May -0.376 -0.532
June -0.383 -0.543
July -0.391 -0.558
August -0.392 -0.565
September -0.396 -0.582
October -0.394 -0.594
November -0.393 -0.602
December -0.424 -0.635
2015 January -0.468 -0.677
February -0.496 -0.706
March -0.520 -0.734
April -0.548 -0.760
May -0.567 -0.773
June -0.589 -0.793
July -0.619 -0.817
August -0.639 -0.826
September -0.653 -0.836
October -0.665 -0.855
November -0.678 -0.873
December -0.669 -0.869
2016 January -0.652 -0.861
February -0.629 -0.843
March -0.630 -0.850
April -0.608 -0.832
May -0.589 -0.822
June -0.562 -0.807
July -0.579 -0.811
August -0.542 -0.782
September -0.527 -0.759
October -0.503 -0.734
November -0.480 -0.714
December -0.458 -0.691
2017 January -0.428 -0.660
February -0.416 -0.648
March -0.410 -0.636
April -0.407 -0.629
May -0.394 -0.609
June -0.383 -0.591
July -0.364 -0.574
August -0.330 -0.544
September -0.296 -0.519
October -0.267 -0.497
November -0.241 -0.475
December -0.217 -0.459
2018 January -0.178 -0.436
February -0.166 -0.425
March -0.153 -0.411
April -0.133 -0.397
May -0.119 -0.388
June -0.105 -0.378
July -0.083 -0.360
August -0.067 -0.345
September -0.044 -0.324
October -0.031 -0.312
November -0.020 -0.303
December -0.016 -0.295
2019 January -0.010 -0.293
February -0.003 -0.287
March 0.015 -0.272
April 0.025 -0.261
May 0.040 -0.245
June 0.037 -0.241
July 0.025 -0.245
August -0.001 -0.257
September -0.028 -0.267
October -0.059 -0.286
November -0.085 -0.303
December -0.111 -0.318
2020 January -0.131 -0.327
February -0.159 -0.343
March -0.221 -0.389
April -0.244 -0.399
May -0.267 -0.407
June -0.288 -0.415
July -0.294 -0.409
August -0.294 -0.402
September -0.306 -0.404
October -0.310 -0.402
November -0.322 -0.407
December -0.345 -0.422

Provincial differences

The magnitude of the population revision differs by province, and the differences are typically greater for the period of 2013 to 2018 (Charts 4, 5 and 6). The changes over this period are mostly the result of NPRs. In 2020, given the pandemic, the number of NPRs increased at a slower pace. The new series takes this into account for the interpolation between July 1, 2019 and July 1, 2020. This weaker increase allows the unrevised series to be closer to the revised series.

Population control totals for Alberta, Quebec, Ontario, Nova Scotia and Saskatchewan have been revised downward. The magnitude of the revisions varies over the period and followed the national trend, with revised estimates diverging from the unrevised starting in 2011 then converging again by 2018.

Alternatively, population control totals in British Columbia, New Brunswick, and Newfoundland and Labrador were revised upward. Population control totals for both British Columbia and New Brunswick had similar magnitudes of change; increasing from 2011 to 2018 and then remaining stable from 2018 onwards. The results in British Columbia stem from two factors going in the same direction. First, the error of closure for British Columbia was the highest among all provinces and territories. Second, the different methodologies used to estimate the stocks of NPRs pushed the numbers of the new series further upwards. NPRs are overrepresented in British Columbia compared with the rest of the country. For Newfoundland and Labrador, the revised population control totals followed a smoother curve compared with the unrevised estimates, as the population grew from 2014 to late 2017 before declining at a decreased rate, compared with the unrevised estimates.

The population revisions for Manitoba and Prince Edward Island differed slightly from the others. From 2011 through 2016, Manitoba and Prince Edward Island were revised downward, in line with the national estimates. From 2017, the estimates for these two provinces were revised upward, reaching a maximum divergence in mid-2019 before approaching convergence with the original estimates in 2020.

Chart 4

Data table for Chart 4 
Data table for Chart 4
Table summary
This table displays the results of Data table for Chart 4 Canada, Newfoundland and Labrador, Prince Edward Island, Nova Scotia and New Brunswick, calculated using percent difference units of measure (appearing as column headers).
Canada Newfoundland and Labrador Prince Edward Island Nova Scotia New Brunswick
percent difference
2006 January 0.006 -0.023 0.000 0.000 -0.016
February 0.010 -0.023 0.090 0.000 0.000
March 0.014 -0.023 0.000 0.000 0.000
April 0.018 0.000 0.000 0.013 0.000
May 0.023 0.000 0.000 0.013 0.016
June 0.027 -0.024 0.000 0.026 0.000
July 0.030 0.000 -0.089 0.026 -0.016
August 0.032 -0.047 -0.089 0.013 0.016
September 0.032 0.000 0.000 0.026 0.000
October 0.033 0.000 0.000 0.013 0.016
November 0.034 -0.024 -0.089 0.013 0.000
December 0.032 -0.023 -0.089 0.026 0.000
2007 January 0.030 -0.023 -0.089 0.026 0.000
February 0.030 -0.024 0.000 0.026 0.000
March 0.030 -0.024 0.000 0.039 0.000
April 0.031 -0.024 0.000 0.026 0.000
May 0.031 -0.024 0.000 0.026 0.000
June 0.031 0.000 0.000 0.039 -0.016
July 0.028 -0.024 0.000 0.013 0.016
August 0.026 -0.024 0.000 0.013 0.000
September 0.027 -0.047 -0.089 0.013 0.000
October 0.026 0.000 -0.089 0.013 -0.016
November 0.026 -0.023 0.000 0.013 -0.016
December 0.028 -0.023 -0.177 0.026 0.000
2008 January 0.026 -0.023 -0.089 0.026 0.000
February 0.025 0.000 0.000 0.013 0.000
March 0.025 -0.023 0.000 0.013 0.000
April 0.026 0.000 0.000 0.026 0.000
May 0.026 0.000 0.000 0.026 0.016
June 0.027 -0.023 0.000 0.026 -0.016
July 0.024 -0.047 0.000 0.000 0.016
August 0.023 -0.023 0.000 0.013 -0.016
September 0.023 -0.023 0.000 0.013 0.000
October 0.022 0.023 0.000 0.013 0.000
November 0.020 -0.023 0.088 0.013 -0.016
December 0.021 -0.023 -0.088 0.026 0.016
2009 January 0.019 0.000 -0.088 0.026 0.000
February 0.017 0.000 0.000 0.013 0.000
March 0.019 0.000 -0.088 0.039 0.016
April 0.018 -0.023 -0.088 0.026 0.000
May 0.020 -0.023 0.000 0.026 0.016
June 0.021 0.000 0.000 0.026 0.016
July 0.017 -0.023 -0.087 0.013 0.016
August 0.019 0.000 0.000 0.013 0.000
September 0.019 -0.023 -0.087 0.026 0.016
October 0.014 -0.023 0.000 0.026 -0.016
November 0.016 0.000 0.000 0.026 0.000
December 0.015 0.000 0.000 0.026 0.016
2010 January 0.013 0.000 0.087 0.026 0.000
February 0.010 -0.023 0.000 0.026 0.000
March 0.011 -0.023 -0.086 0.026 0.016
April 0.013 -0.023 0.000 0.026 0.000
May 0.012 0.000 0.000 0.039 0.000
June 0.012 0.023 0.000 0.039 0.000
July 0.009 -0.023 0.086 0.000 0.000
August 0.008 0.000 0.000 0.000 0.016
September 0.008 0.000 0.000 0.026 0.000
October 0.004 0.000 0.000 0.013 0.016
November 0.004 -0.023 0.000 -0.013 0.016
December 0.001 -0.023 -0.085 -0.013 0.016
2011 January -0.001 -0.023 0.000 0.000 0.016
February -0.005 0.000 -0.085 -0.013 0.016
March -0.003 -0.023 -0.169 0.000 0.000
April 0.000 0.000 -0.085 0.000 0.016
May 0.005 0.000 -0.084 0.000 0.016
June 0.011 0.023 0.000 0.000 0.048
July -0.013 0.045 0.000 0.013 0.064
August -0.038 0.000 -0.084 -0.013 0.048
September -0.059 0.023 -0.168 -0.038 0.080
October -0.074 0.023 -0.168 -0.064 0.048
November -0.087 0.023 -0.084 -0.077 0.064
December -0.097 0.023 -0.251 -0.077 0.080
2012 January -0.115 0.000 -0.168 -0.102 0.080
February -0.129 0.000 -0.251 -0.128 0.096
March -0.141 -0.023 -0.251 -0.166 0.113
April -0.154 -0.023 -0.334 -0.179 0.161
May -0.166 -0.023 -0.334 -0.205 0.193
June -0.177 -0.045 -0.417 -0.218 0.193
July -0.196 -0.045 -0.500 -0.243 0.193
August -0.206 -0.045 -0.583 -0.256 0.241
September -0.218 -0.045 -0.666 -0.256 0.241
October -0.228 -0.068 -0.666 -0.269 0.273
November -0.241 -0.068 -0.749 -0.281 0.273
December -0.254 -0.068 -0.667 -0.307 0.273
2013 January -0.280 -0.135 -0.667 -0.358 0.289
February -0.295 -0.157 -0.749 -0.358 0.305
March -0.307 -0.135 -0.833 -0.358 0.321
April -0.323 -0.090 -0.998 -0.409 0.337
May -0.333 -0.112 -1.081 -0.409 0.370
June -0.347 -0.090 -0.998 -0.435 0.353
July -0.366 -0.090 -0.998 -0.460 0.418
August -0.373 -0.067 -0.998 -0.486 0.434
September -0.383 -0.022 -0.916 -0.524 0.482
October -0.392 0.022 -0.916 -0.499 0.482
November -0.401 0.067 -0.916 -0.537 0.530
December -0.417 0.067 -0.998 -0.562 0.530
2014 January -0.434 0.112 -1.080 -0.575 0.562
February -0.445 0.157 -1.162 -0.588 0.595
March -0.446 0.248 -1.244 -0.626 0.627
April -0.451 0.360 -1.244 -0.639 0.659
May -0.455 0.406 -1.243 -0.677 0.692
June -0.463 0.428 -1.243 -0.703 0.692
July -0.476 0.451 -1.243 -0.703 0.740
August -0.480 0.518 -1.243 -0.728 0.740
September -0.491 0.564 -1.160 -0.766 0.740
October -0.495 0.609 -1.078 -0.817 0.756
November -0.499 0.677 -1.077 -0.829 0.788
December -0.531 0.677 -1.077 -0.867 0.804
2015 January -0.573 0.654 -1.159 -0.905 0.788
February -0.603 0.699 -1.160 -0.969 0.788
March -0.627 0.745 -1.242 -1.045 0.739
April -0.655 0.745 -1.242 -1.045 0.707
May -0.672 0.790 -1.242 -1.083 0.723
June -0.692 0.836 -1.241 -1.121 0.740
July -0.720 0.904 -1.158 -1.209 0.772
August -0.735 0.972 -1.239 -1.196 0.804
September -0.747 0.972 -1.074 -1.195 0.852
October -0.762 0.971 -1.073 -1.182 0.852
November -0.777 0.926 -0.991 -1.169 0.901
December -0.771 0.926 -0.990 -1.144 0.933
2016 January -0.758 0.902 -0.825 -1.080 0.964
February -0.738 0.902 -0.578 -1.041 1.044
March -0.742 0.879 -0.495 -1.028 1.027
April -0.722 0.901 -0.494 -0.990 0.979
May -0.708 0.855 -0.493 -0.939 0.978
June -0.686 0.787 -0.411 -0.901 1.027
July -0.697 0.787 -0.491 -0.887 1.042
August -0.664 0.765 -0.246 -0.862 1.106
September -0.645 0.742 -0.164 -0.823 1.122
October -0.620 0.719 -0.082 -0.785 1.170
November -0.599 0.742 -0.082 -0.760 1.186
December -0.576 0.719 0.000 -0.747 1.202
2017 January -0.546 0.651 0.000 -0.721 1.234
February -0.534 0.561 0.081 -0.683 1.266
March -0.524 0.516 0.081 -0.658 1.282
April -0.520 0.449 0.162 -0.619 1.298
May -0.503 0.449 0.162 -0.568 1.313
June -0.489 0.426 0.242 -0.518 1.361
July -0.471 0.404 0.242 -0.492 1.360
August -0.438 0.381 0.403 -0.504 1.392
September -0.410 0.471 0.483 -0.491 1.392
October -0.384 0.516 0.483 -0.504 1.407
November -0.360 0.562 0.563 -0.516 1.423
December -0.340 0.539 0.643 -0.516 1.422
2018 January -0.310 0.539 0.723 -0.490 1.422
February -0.297 0.562 0.722 -0.515 1.453
March -0.284 0.562 0.801 -0.502 1.453
April -0.267 0.585 0.799 -0.452 1.435
May -0.255 0.563 0.878 -0.426 1.451
June -0.243 0.586 0.956 -0.363 1.466
July -0.223 0.654 1.193 -0.300 1.498
August -0.208 0.722 1.191 -0.313 1.529
September -0.186 0.813 1.189 -0.325 1.561
October -0.174 0.813 1.108 -0.287 1.608
November -0.164 0.882 1.185 -0.262 1.639
December -0.157 0.927 1.263 -0.262 1.671
2019 January -0.153 0.973 1.340 -0.262 1.654
February -0.147 0.996 1.258 -0.249 1.701
March -0.130 0.974 1.413 -0.211 1.748
April -0.120 1.020 1.408 -0.186 1.778
May -0.104 1.066 1.483 -0.124 1.825
June -0.104 1.203 1.244 -0.087 1.823
July -0.112 1.250 1.318 -0.099 1.836
August -0.131 1.318 1.237 -0.099 1.834
September -0.149 1.341 1.157 -0.099 1.785
October -0.174 1.341 1.156 -0.099 1.800
November -0.195 1.341 1.078 -0.123 1.766
December -0.216 1.364 0.999 -0.172 1.765
2020 January -0.230 1.342 1.075 -0.185 1.749
February -0.253 1.365 0.997 -0.221 1.717
March -0.306 1.364 0.995 -0.270 1.700
April -0.323 1.365 0.917 -0.319 1.667
May -0.338 1.388 0.839 -0.319 1.651
June -0.352 1.434 0.838 -0.319 1.618
July -0.353 1.411 0.760 -0.331 1.618
August -0.349 1.411 0.759 -0.330 1.617
September -0.356 1.411 0.682 -0.342 1.584
October -0.356 1.389 0.682 -0.354 1.552
November -0.365 1.365 0.605 -0.378 1.551
December -0.384 1.365 0.529 -0.402 1.535

Chart 5

Data table for Chart 5 
Data table for Chart 5
Table summary
This table displays the results of Data table for Chart 5 Canada, Quebec and Ontario, calculated using percent difference units of measure (appearing as column headers).
Canada Quebec Ontario
percent difference
2006 January 0.006 -0.002 0.012
February 0.010 0.000 0.017
March 0.014 -0.002 0.023
April 0.018 0.000 0.030
May 0.023 0.002 0.035
June 0.027 0.002 0.044
July 0.030 0.002 0.050
August 0.032 0.000 0.054
September 0.032 0.003 0.052
October 0.033 0.000 0.052
November 0.034 0.002 0.054
December 0.032 0.003 0.048
2007 January 0.030 -0.002 0.048
February 0.030 0.000 0.048
March 0.030 -0.002 0.048
April 0.031 0.002 0.048
May 0.031 0.000 0.046
June 0.031 0.002 0.047
July 0.028 0.000 0.047
August 0.026 0.000 0.044
September 0.027 0.005 0.043
October 0.026 0.002 0.042
November 0.026 0.003 0.041
December 0.028 0.005 0.044
2008 January 0.026 0.003 0.040
February 0.025 0.000 0.041
March 0.025 0.002 0.041
April 0.026 0.002 0.040
May 0.026 0.003 0.039
June 0.027 0.003 0.041
July 0.024 0.002 0.040
August 0.023 0.002 0.037
September 0.023 0.003 0.034
October 0.022 0.000 0.036
November 0.020 0.002 0.031
December 0.021 0.003 0.031
2009 January 0.019 0.000 0.029
February 0.017 0.000 0.027
March 0.019 0.000 0.029
April 0.018 0.002 0.028
May 0.020 0.005 0.029
June 0.021 0.003 0.032
July 0.017 0.000 0.027
August 0.019 -0.002 0.029
September 0.019 0.005 0.028
October 0.014 0.002 0.025
November 0.016 0.002 0.026
December 0.015 -0.002 0.024
2010 January 0.013 0.005 0.023
February 0.010 0.000 0.019
March 0.011 0.003 0.020
April 0.013 0.003 0.020
May 0.012 0.000 0.020
June 0.012 0.000 0.020
July 0.009 -0.002 0.018
August 0.008 -0.006 0.012
September 0.008 -0.005 0.010
October 0.004 -0.009 0.007
November 0.004 -0.012 0.009
December 0.001 -0.012 0.000
2011 January -0.001 -0.020 -0.002
February -0.005 -0.023 -0.006
March -0.003 -0.023 0.002
April 0.000 -0.027 0.011
May 0.005 -0.027 0.023
June 0.011 -0.027 0.031
July -0.013 -0.050 -0.023
August -0.038 -0.087 -0.063
September -0.059 -0.117 -0.102
October -0.074 -0.147 -0.120
November -0.087 -0.173 -0.140
December -0.097 -0.197 -0.155
2012 January -0.115 -0.232 -0.178
February -0.129 -0.267 -0.194
March -0.141 -0.292 -0.206
April -0.154 -0.320 -0.222
May -0.166 -0.345 -0.236
June -0.177 -0.369 -0.251
July -0.196 -0.400 -0.275
August -0.206 -0.425 -0.291
September -0.218 -0.450 -0.306
October -0.228 -0.475 -0.319
November -0.241 -0.500 -0.329
December -0.254 -0.523 -0.350
2013 January -0.280 -0.557 -0.389
February -0.295 -0.581 -0.410
March -0.307 -0.605 -0.429
April -0.323 -0.632 -0.455
May -0.333 -0.651 -0.476
June -0.347 -0.675 -0.498
July -0.366 -0.713 -0.531
August -0.373 -0.738 -0.548
September -0.383 -0.767 -0.568
October -0.392 -0.792 -0.581
November -0.401 -0.810 -0.601
December -0.417 -0.835 -0.624
2014 January -0.434 -0.864 -0.653
February -0.445 -0.890 -0.670
March -0.446 -0.914 -0.674
April -0.451 -0.941 -0.687
May -0.455 -0.961 -0.696
June -0.463 -0.994 -0.712
July -0.476 -1.018 -0.735
August -0.480 -1.043 -0.750
September -0.491 -1.067 -0.773
October -0.495 -1.081 -0.779
November -0.499 -1.103 -0.782
December -0.531 -1.139 -0.809
2015 January -0.573 -1.194 -0.846
February -0.603 -1.241 -0.878
March -0.627 -1.275 -0.913
April -0.655 -1.316 -0.938
May -0.672 -1.344 -0.941
June -0.692 -1.371 -0.940
July -0.720 -1.389 -0.961
August -0.735 -1.408 -0.971
September -0.747 -1.434 -0.985
October -0.762 -1.453 -0.995
November -0.777 -1.470 -1.006
December -0.771 -1.476 -0.998
2016 January -0.758 -1.481 -0.988
February -0.738 -1.483 -0.966
March -0.742 -1.513 -0.962
April -0.722 -1.524 -0.933
May -0.708 -1.545 -0.917
June -0.686 -1.548 -0.893
July -0.697 -1.560 -0.893
August -0.664 -1.535 -0.848
September -0.645 -1.512 -0.819
October -0.620 -1.479 -0.799
November -0.599 -1.461 -0.787
December -0.576 -1.426 -0.767
2017 January -0.546 -1.408 -0.737
February -0.534 -1.390 -0.727
March -0.524 -1.372 -0.720
April -0.520 -1.367 -0.714
May -0.503 -1.353 -0.684
June -0.489 -1.333 -0.675
July -0.471 -1.309 -0.661
August -0.438 -1.262 -0.639
September -0.410 -1.210 -0.627
October -0.384 -1.165 -0.624
November -0.360 -1.119 -0.618
December -0.340 -1.093 -0.606
2018 January -0.310 -1.065 -0.591
February -0.297 -1.030 -0.596
March -0.284 -1.005 -0.599
April -0.267 -0.974 -0.603
May -0.255 -0.963 -0.602
June -0.243 -0.951 -0.596
July -0.223 -0.927 -0.588
August -0.208 -0.891 -0.584
September -0.186 -0.853 -0.573
October -0.174 -0.838 -0.576
November -0.164 -0.829 -0.573
December -0.157 -0.824 -0.575
2019 January -0.153 -0.790 -0.593
February -0.147 -0.771 -0.605
March -0.130 -0.737 -0.606
April -0.120 -0.711 -0.615
May -0.104 -0.689 -0.606
June -0.104 -0.685 -0.610
July -0.112 -0.680 -0.631
August -0.131 -0.688 -0.655
September -0.149 -0.698 -0.680
October -0.174 -0.721 -0.710
November -0.195 -0.732 -0.734
December -0.216 -0.760 -0.753
2020 January -0.230 -0.786 -0.774
February -0.253 -0.817 -0.794
March -0.306 -0.869 -0.854
April -0.323 -0.899 -0.868
May -0.338 -0.928 -0.882
June -0.352 -0.950 -0.898
July -0.353 -0.956 -0.896
August -0.349 -0.954 -0.886
September -0.356 -0.959 -0.896
October -0.356 -0.957 -0.893
November -0.365 -0.962 -0.903
December -0.384 -0.975 -0.922

Chart 6

Data table for Chart 6 
Data table for Chart 6
Table summary
This table displays the results of Data table for Chart 6 Canada, Manitoba, Saskatchewan, Alberta and British Columbia, calculated using percent difference units of measure (appearing as column headers).
Canada Manitoba Saskatchewan Alberta British Columbia
percent difference
2006 January 0.006 0.000 0.040 0.004 0.003
February 0.010 0.011 0.027 0.019 0.009
March 0.014 0.011 0.067 0.015 0.009
April 0.018 0.011 0.053 0.019 0.012
May 0.023 0.011 0.080 0.022 0.020
June 0.027 0.011 0.093 0.033 0.017
July 0.030 0.000 0.120 0.037 0.026
August 0.032 0.022 0.133 0.037 0.032
September 0.032 0.011 0.120 0.033 0.032
October 0.033 0.011 0.120 0.037 0.032
November 0.034 0.034 0.120 0.044 0.032
December 0.032 0.011 0.133 0.037 0.029
2007 January 0.030 0.034 0.120 0.036 0.026
February 0.030 0.022 0.146 0.033 0.017
March 0.030 0.022 0.119 0.033 0.023
April 0.031 0.022 0.132 0.036 0.029
May 0.031 0.033 0.132 0.029 0.032
June 0.031 0.033 0.145 0.029 0.026
July 0.028 0.011 0.119 0.032 0.011
August 0.026 0.011 0.092 0.036 0.014
September 0.027 0.011 0.118 0.029 0.020
October 0.026 0.000 0.131 0.032 0.017
November 0.026 0.011 0.131 0.029 0.020
December 0.028 0.022 0.131 0.028 0.017
2008 January 0.026 0.011 0.104 0.032 0.014
February 0.025 0.000 0.144 0.025 0.014
March 0.025 0.022 0.130 0.025 0.011
April 0.026 0.022 0.143 0.028 0.011
May 0.026 0.011 0.117 0.028 0.017
June 0.027 0.011 0.130 0.028 0.020
July 0.024 0.000 0.104 0.028 0.011
August 0.023 0.000 0.116 0.024 0.011
September 0.023 0.022 0.116 0.031 0.011
October 0.022 0.011 0.129 0.017 0.014
November 0.020 0.022 0.103 0.021 0.014
December 0.021 0.011 0.129 0.017 0.011
2009 January 0.019 0.011 0.116 0.017 0.008
February 0.017 0.011 0.115 0.014 0.008
March 0.019 0.011 0.115 0.017 0.008
April 0.018 0.011 0.128 0.014 0.014
May 0.020 0.000 0.128 0.014 0.011
June 0.021 0.011 0.127 0.017 0.014
July 0.017 0.011 0.102 0.014 0.011
August 0.019 0.011 0.114 0.014 0.011
September 0.019 0.022 0.127 0.014 0.011
October 0.014 0.000 0.101 0.007 0.006
November 0.016 0.011 0.114 0.007 0.008
December 0.015 0.000 0.126 0.007 0.006
2010 January 0.013 0.011 0.113 0.000 -0.003
February 0.010 -0.011 0.113 0.000 -0.005
March 0.011 -0.011 0.101 -0.007 -0.003
April 0.013 0.000 0.088 0.000 0.003
May 0.012 -0.022 0.113 -0.003 0.003
June 0.012 0.000 0.113 -0.003 0.003
July 0.009 0.000 0.100 -0.007 0.005
August 0.008 0.000 0.100 -0.003 0.016
September 0.008 0.000 0.100 -0.010 0.022
October 0.004 -0.021 0.075 -0.017 0.030
November 0.004 -0.011 0.075 -0.020 0.030
December 0.001 0.011 0.074 -0.020 0.035
2011 January -0.001 0.000 0.087 -0.030 0.043
February -0.005 -0.021 0.062 -0.043 0.052
March -0.003 -0.032 0.049 -0.067 0.065
April 0.000 -0.021 0.062 -0.090 0.087
May 0.005 -0.043 0.062 -0.110 0.108
June 0.011 -0.043 0.086 -0.126 0.135
July -0.013 0.000 0.135 -0.060 0.057
August -0.038 -0.011 0.111 -0.083 0.102
September -0.059 -0.011 0.086 -0.112 0.143
October -0.074 -0.011 0.049 -0.155 0.188
November -0.087 -0.042 0.012 -0.194 0.237
December -0.097 -0.042 0.000 -0.230 0.282
2012 January -0.115 -0.042 -0.012 -0.282 0.336
February -0.129 -0.053 -0.037 -0.333 0.389
March -0.141 -0.053 -0.061 -0.378 0.429
April -0.154 -0.063 -0.073 -0.432 0.476
May -0.166 -0.063 -0.085 -0.470 0.513
June -0.177 -0.084 -0.085 -0.508 0.553
July -0.196 -0.094 -0.121 -0.568 0.598
August -0.206 -0.094 -0.121 -0.599 0.642
September -0.218 -0.094 -0.157 -0.645 0.687
October -0.228 -0.105 -0.156 -0.682 0.735
November -0.241 -0.115 -0.204 -0.729 0.768
December -0.254 -0.136 -0.216 -0.775 0.816
2013 January -0.280 -0.146 -0.240 -0.837 0.866
February -0.295 -0.135 -0.264 -0.870 0.897
March -0.307 -0.146 -0.263 -0.896 0.930
April -0.323 -0.187 -0.311 -0.921 0.980
May -0.333 -0.177 -0.275 -0.941 1.013
June -0.347 -0.197 -0.298 -0.970 1.059
July -0.366 -0.207 -0.333 -1.004 1.111
August -0.373 -0.207 -0.368 -1.024 1.165
September -0.383 -0.217 -0.392 -1.043 1.230
October -0.392 -0.269 -0.439 -1.072 1.279
November -0.401 -0.299 -0.450 -1.100 1.330
December -0.417 -0.299 -0.473 -1.136 1.366
2014 January -0.434 -0.319 -0.508 -1.164 1.410
February -0.445 -0.329 -0.531 -1.183 1.440
March -0.446 -0.350 -0.589 -1.211 1.517
April -0.451 -0.370 -0.612 -1.256 1.604
May -0.455 -0.390 -0.670 -1.289 1.681
June -0.463 -0.389 -0.728 -1.316 1.758
July -0.476 -0.409 -0.785 -1.359 1.824
August -0.480 -0.399 -0.808 -1.387 1.901
September -0.491 -0.398 -0.831 -1.436 1.985
October -0.495 -0.357 -0.865 -1.485 2.041
November -0.499 -0.357 -0.853 -1.546 2.091
December -0.531 -0.377 -0.910 -1.634 2.089
2015 January -0.573 -0.438 -0.956 -1.730 2.103
February -0.603 -0.458 -1.037 -1.764 2.116
March -0.627 -0.498 -1.094 -1.782 2.148
April -0.655 -0.548 -1.163 -1.827 2.158
May -0.672 -0.517 -1.186 -1.919 2.166
June -0.692 -0.466 -1.196 -2.048 2.168
July -0.720 -0.466 -1.230 -2.152 2.152
August -0.735 -0.455 -1.275 -2.232 2.158
September -0.747 -0.455 -1.205 -2.276 2.165
October -0.762 -0.434 -1.204 -2.324 2.146
November -0.777 -0.393 -1.203 -2.372 2.118
December -0.771 -0.313 -1.191 -2.371 2.116
2016 January -0.758 -0.252 -1.144 -2.375 2.151
February -0.738 -0.221 -1.109 -2.392 2.210
March -0.742 -0.221 -1.119 -2.437 2.261
April -0.722 -0.201 -1.073 -2.453 2.346
May -0.708 -0.140 -1.049 -2.470 2.424
June -0.686 -0.080 -1.002 -2.462 2.474
July -0.697 -0.100 -1.046 -2.477 2.442
August -0.664 -0.060 -1.045 -2.464 2.467
September -0.645 -0.040 -1.022 -2.457 2.459
October -0.620 0.010 -1.010 -2.427 2.473
November -0.599 0.040 -0.986 -2.374 2.501
December -0.576 0.080 -0.974 -2.355 2.517
2017 January -0.546 0.080 -0.894 -2.307 2.558
February -0.534 0.069 -0.893 -2.299 2.576
March -0.524 0.069 -0.904 -2.300 2.601
April -0.520 0.020 -0.937 -2.324 2.633
May -0.503 0.030 -0.970 -2.344 2.665
June -0.489 0.049 -0.935 -2.342 2.677
July -0.471 0.049 -0.912 -2.314 2.696
August -0.438 0.049 -0.866 -2.280 2.756
September -0.410 0.098 -0.888 -2.258 2.798
October -0.384 0.147 -0.853 -2.233 2.851
November -0.360 0.157 -0.841 -2.211 2.904
December -0.340 0.147 -0.841 -2.184 2.942
2018 January -0.310 0.226 -0.874 -2.152 3.045
February -0.297 0.206 -0.896 -2.139 3.087
March -0.284 0.196 -0.952 -2.105 3.133
April -0.267 0.225 -0.962 -2.087 3.190
May -0.255 0.264 -0.973 -2.085 3.236
June -0.243 0.234 -0.995 -2.070 3.266
July -0.223 0.244 -0.983 -2.050 3.298
August -0.208 0.263 -0.926 -2.053 3.313
September -0.186 0.312 -0.824 -2.056 3.334
October -0.174 0.350 -0.756 -2.048 3.360
November -0.164 0.360 -0.745 -2.034 3.379
December -0.157 0.359 -0.767 -2.021 3.405
2019 January -0.153 0.339 -0.755 -2.015 3.430
February -0.147 0.310 -0.766 -1.993 3.459
March -0.130 0.281 -0.766 -1.980 3.505
April -0.120 0.261 -0.743 -1.994 3.563
May -0.104 0.290 -0.709 -2.011 3.592
June -0.104 0.318 -0.652 -2.025 3.583
July -0.112 0.279 -0.629 -2.040 3.575
August -0.131 0.250 -0.629 -2.060 3.550
September -0.149 0.250 -0.628 -2.048 3.493
October -0.174 0.211 -0.617 -2.045 3.444
November -0.195 0.182 -0.650 -2.047 3.393
December -0.216 0.172 -0.661 -2.031 3.347
2020 January -0.230 0.172 -0.616 -1.987 3.309
February -0.253 0.144 -0.615 -1.977 3.256
March -0.306 0.076 -0.671 -1.988 3.175
April -0.323 0.096 -0.682 -1.969 3.138
May -0.338 0.086 -0.660 -1.954 3.104
June -0.352 0.086 -0.682 -1.952 3.085
July -0.353 0.086 -0.660 -1.926 3.061
August -0.349 0.095 -0.660 -1.908 3.038
September -0.356 0.086 -0.660 -1.887 3.008
October -0.356 0.115 -0.660 -1.871 2.988
November -0.365 0.105 -0.671 -1.859 2.959
December -0.384 0.076 -0.682 -1.854 2.917

3.0 Impact on labour market estimates since 2001

While population control totals were revised back to 2006, seasonally adjusted and trend-cycle data for labour market indicators were revised for an additional five years, back to January 2002 and July 2001 respectively, to ensure no break in the series.

Charts 7 (A,B,C,D,E,F), and 8 (A,B,C,D) present comparisons of monthly seasonally adjusted labour market indicators using unrevised and revised data at the national level by age and sex.

3.1 Impact at the national level on labour market estimates

Monthly seasonally adjusted employment levels were revised downward slightly, coinciding with the new population control totals (Chart 7-A). These revisions were most notable between 2013 and 2018, where on average employment was lower by 0.7% (-130,000). Between 2019 and 2020, these differences had minimized and the average revision to the number of employed was 0.3% (-64,000) lower than initially published.

The employment rate was also revised downward slightly on average throughout the revision period (Chart 7-B). However, the magnitude of differences did not impact the overall trend observed at the national level over the period. Some of the largest differences were observed in 2013, where it was on average 0.2 percentage points lower. The maximum difference between the revised employment rate and the unrevised rate was 0.3 percentage points (for example, in January 2013 the revised employment rate was 61.6% compared with the originally published 61.9%). By 2020, the revisions had virtually no impact on the employment rate.

Unemployment levels and rates were little changed between the revised and unrevised estimates (Chart 7-C). The national unemployment rate in December 2020 was revised to 8.8%, a difference of +0.2 percentage points from the unrevised rate (Chart 7-D). Over the period of 2002 to 2020, the unemployment rate changed by a maximum of 0.2 percentage points.

The size of the labour force and the rate of participation rate were also little changed (Charts 7-E and 7-F). Throughout most of the revision period, the participation rate was on average 0.1 percentage point lower. One of the largest changes was in March 2012, when it was revised down 0.3 percentage points. However, from 2013 onward the change was no greater than 0.2 percentage points. In 2019 it was revised down, on average, 0.1 percentage points, while for 2020 it was revised up by 0.1 percentage points, on average.

Chart 7-A

Data table for Chart 7-A 
Data table for Chart 7-A
Table summary
This table displays the results of Data table for Chart 7-A Revised and Unrevised, calculated using thousands units of measure (appearing as column headers).
Revised Unrevised
thousands
2002 January 15,018.4 15,023.8
February 15,038.7 15,042.8
March 15,114.2 15,110.5
April 15,165.9 15,171.9
May 15,221.8 15,225.4
June 15,278.9 15,287.9
July 15,327.9 15,333.7
August 15,412.5 15,414.6
September 15,415.9 15,422.8
October 15,422.1 15,425.6
November 15,474.6 15,464.8
December 15,522.9 15,507.0
2003 January 15,542.7 15,540.8
February 15,596.0 15,600.1
March 15,598.9 15,598.9
April 15,593.0 15,597.6
May 15,576.3 15,581.1
June 15,632.7 15,629.1
July 15,650.3 15,651.0
August 15,649.6 15,653.4
September 15,681.3 15,684.5
October 15,731.0 15,735.8
November 15,781.3 15,777.0
December 15,817.0 15,807.1
2004 January 15,819.0 15,811.1
February 15,834.5 15,830.7
March 15,846.8 15,842.5
April 15,885.9 15,885.2
May 15,906.5 15,913.9
June 15,924.5 15,926.3
July 15,936.3 15,934.2
August 15,933.6 15,925.9
September 15,977.0 15,974.6
October 15,986.9 15,990.0
November 16,003.5 16,008.5
December 16,016.7 16,018.1
2005 January 16,031.5 16,015.1
February 16,049.7 16,051.1
March 16,050.1 16,047.2
April 16,075.8 16,075.2
May 16,073.5 16,074.4
June 16,100.1 16,104.6
July 16,140.9 16,138.0
August 16,180.6 16,173.4
September 16,165.9 16,160.0
October 16,206.8 16,207.4
November 16,232.8 16,240.0
December 16,226.4 16,233.6
2006 January 16,218.5 16,220.8
February 16,249.2 16,259.8
March 16,300.2 16,310.2
April 16,333.0 16,339.8
May 16,408.9 16,416.6
June 16,398.1 16,420.5
July 16,406.3 16,422.6
August 16,405.8 16,428.3
September 16,422.3 16,453.1
October 16,441.0 16,475.6
November 16,447.8 16,503.2
December 16,513.8 16,567.5
2007 January 16,576.6 16,621.5
February 16,588.7 16,642.6
March 16,645.4 16,690.7
April 16,611.2 16,675.7
May 16,645.7 16,698.8
June 16,689.7 16,756.1
July 16,739.7 16,798.8
August 16,759.9 16,806.5
September 16,803.8 16,851.5
October 16,855.8 16,907.1
November 16,866.6 16,923.5
December 16,859.2 16,926.9
2008 January 16,910.9 16,952.8
February 16,940.0 16,998.2
March 16,922.9 16,982.8
April 16,939.7 17,002.4
May 16,952.8 17,007.4
June 16,939.6 17,000.7
July 16,927.3 16,991.9
August 16,958.5 17,010.7
September 17,006.6 17,072.0
October 17,049.2 17,100.6
November 16,955.4 16,979.2
December 16,925.9 16,948.2
2009 January 16,792.9 16,823.4
February 16,735.8 16,770.8
March 16,720.9 16,752.5
April 16,666.8 16,709.5
May 16,644.5 16,683.5
June 16,634.8 16,674.1
July 16,643.0 16,674.6
August 16,638.6 16,682.9
September 16,662.5 16,710.7
October 16,665.1 16,718.4
November 16,747.1 16,799.0
December 16,732.2 16,783.7
2010 January 16,758.7 16,828.3
February 16,779.8 16,845.5
March 16,799.2 16,857.9
April 16,872.6 16,934.6
May 16,898.0 16,949.5
June 16,956.7 17,019.7
July 16,970.2 17,010.9
August 16,984.0 17,025.2
September 16,939.0 16,989.8
October 16,965.2 17,025.2
November 16,995.4 17,056.4
December 17,040.5 17,091.6
2011 January 17,099.8 17,143.7
February 17,100.2 17,140.4
March 17,120.9 17,163.3
April 17,150.7 17,199.6
May 17,144.4 17,182.4
June 17,178.2 17,229.9
July 17,201.3 17,249.7
August 17,225.8 17,276.1
September 17,244.0 17,284.3
October 17,212.2 17,264.5
November 17,204.4 17,259.0
December 17,219.4 17,292.4
2012 January 17,201.7 17,265.6
February 17,197.7 17,263.3
March 17,274.8 17,357.3
April 17,370.0 17,450.3
May 17,354.3 17,429.1
June 17,374.7 17,452.5
July 17,366.9 17,428.9
August 17,404.8 17,476.7
September 17,451.2 17,511.6
October 17,446.6 17,531.2
November 17,459.5 17,560.4
December 17,489.5 17,604.5
2013 January 17,508.0 17,617.0
February 17,553.8 17,640.9
March 17,508.4 17,610.3
April 17,533.5 17,643.2
May 17,596.5 17,682.7
June 17,589.0 17,688.6
July 17,585.3 17,684.4
August 17,614.0 17,724.1
September 17,601.9 17,728.4
October 17,607.0 17,737.8
November 17,628.0 17,743.9
December 17,614.4 17,735.4
2014 January 17,629.0 17,746.4
February 17,637.4 17,754.9
March 17,638.4 17,771.0
April 17,629.1 17,762.6
May 17,618.0 17,749.5
June 17,634.1 17,774.8
July 17,688.8 17,807.5
August 17,663.0 17,791.4
September 17,705.9 17,820.8
October 17,736.7 17,876.3
November 17,740.4 17,859.4
December 17,713.9 17,843.6
2015 January 17,740.0 17,874.7
February 17,755.5 17,891.7
March 17,767.7 17,904.8
April 17,750.3 17,898.6
May 17,782.0 17,941.7
June 17,786.2 17,949.0
July 17,827.7 17,976.3
August 17,846.2 17,990.4
September 17,825.7 17,987.1
October 17,843.7 18,007.1
November 17,820.7 17,986.6
December 17,819.3 17,995.6
2016 January 17,819.1 17,994.3
February 17,824.7 18,000.6
March 17,861.6 18,026.3
April 17,873.2 18,045.5
May 17,874.6 18,052.2
June 17,890.3 18,057.2
July 17,870.2 18,044.5
August 17,924.2 18,088.9
September 17,972.0 18,147.4
October 18,015.8 18,181.4
November 18,013.4 18,164.8
December 18,050.8 18,193.9
2017 January 18,133.3 18,276.4
February 18,147.0 18,289.8
March 18,163.4 18,306.1
April 18,182.3 18,323.1
May 18,235.2 18,372.4
June 18,269.1 18,414.6
July 18,290.6 18,438.8
August 18,335.7 18,474.9
September 18,332.8 18,467.4
October 18,371.2 18,496.8
November 18,439.3 18,560.5
December 18,516.1 18,625.3
2018 January 18,435.9 18,551.4
February 18,459.0 18,559.4
March 18,515.4 18,601.4
April 18,501.4 18,595.2
May 18,492.4 18,590.3
June 18,539.4 18,630.0
July 18,605.7 18,690.5
August 18,552.2 18,640.5
September 18,619.2 18,699.4
October 18,630.9 18,715.4
November 18,741.1 18,815.0
December 18,741.0 18,824.7
2019 January 18,815.6 18,891.4
February 18,867.3 18,944.1
March 18,860.8 18,943.9
April 18,963.3 19,041.6
May 18,985.6 19,050.4
June 18,990.0 19,051.2
July 18,968.7 19,037.9
August 19,043.9 19,113.3
September 19,081.4 19,154.9
October 19,078.8 19,151.7
November 19,020.3 19,097.3
December 19,074.3 19,124.6
2020 January 19,106.1 19,159.1
February 19,130.3 19,189.4
March 18,133.8 18,178.7
April 16,141.6 16,184.9
May 16,444.0 16,474.5
June 17,385.7 17,427.4
July 17,802.6 17,845.9
August 18,016.3 18,091.7
September 18,388.5 18,469.9
October 18,482.9 18,553.5
November 18,537.5 18,615.6
December 18,484.8 18,553.0

Chart 7-B

Data table for Chart 7-B 
Data table for Chart 7-B
Table summary
This table displays the results of Data table for Chart 7-B Revised and Unrevised, calculated using percent units of measure (appearing as column headers).
Revised Unrevised
percent
2002 January 61.0 61.1
February 61.0 61.1
March 61.3 61.3
April 61.4 61.4
May 61.6 61.6
June 61.7 61.7
July 61.8 61.8
August 62.1 62.1
September 62.0 62.1
October 62.0 62.0
November 62.2 62.1
December 62.3 62.3
2003 January 62.3 62.3
February 62.5 62.5
March 62.4 62.4
April 62.3 62.4
May 62.2 62.2
June 62.4 62.3
July 62.4 62.4
August 62.3 62.3
September 62.3 62.4
October 62.5 62.5
November 62.6 62.6
December 62.7 62.7
2004 January 62.6 62.6
February 62.6 62.6
March 62.6 62.6
April 62.7 62.7
May 62.7 62.8
June 62.7 62.7
July 62.7 62.7
August 62.6 62.6
September 62.7 62.7
October 62.7 62.7
November 62.7 62.7
December 62.7 62.7
2005 January 62.7 62.6
February 62.7 62.7
March 62.6 62.6
April 62.6 62.6
May 62.5 62.5
June 62.6 62.6
July 62.6 62.6
August 62.7 62.7
September 62.6 62.5
October 62.7 62.7
November 62.7 62.7
December 62.6 62.6
2006 January 62.5 62.5
February 62.5 62.6
March 62.7 62.7
April 62.7 62.8
May 62.9 63.0
June 62.8 62.9
July 62.8 62.8
August 62.7 62.8
September 62.7 62.8
October 62.7 62.8
November 62.6 62.9
December 62.8 63.0
2007 January 63.0 63.2
February 63.0 63.2
March 63.1 63.3
April 62.9 63.2
May 63.0 63.2
June 63.1 63.4
July 63.2 63.4
August 63.2 63.4
September 63.3 63.5
October 63.4 63.6
November 63.4 63.6
December 63.3 63.6
2008 January 63.4 63.6
February 63.5 63.7
March 63.4 63.6
April 63.3 63.6
May 63.3 63.5
June 63.2 63.4
July 63.0 63.3
August 63.1 63.3
September 63.2 63.4
October 63.3 63.5
November 62.9 63.0
December 62.7 62.8
2009 January 62.1 62.3
February 61.8 62.0
March 61.7 61.9
April 61.5 61.6
May 61.3 61.5
June 61.2 61.3
July 61.1 61.3
August 61.0 61.2
September 61.0 61.2
October 61.0 61.2
November 61.2 61.4
December 61.1 61.3
2010 January 61.2 61.4
February 61.2 61.4
March 61.2 61.4
April 61.4 61.6
May 61.4 61.6
June 61.5 61.8
July 61.5 61.6
August 61.5 61.6
September 61.2 61.4
October 61.3 61.5
November 61.3 61.5
December 61.4 61.6
2011 January 61.6 61.8
February 61.6 61.7
March 61.6 61.7
April 61.6 61.8
May 61.5 61.7
June 61.6 61.8
July 61.6 61.8
August 61.6 61.8
September 61.6 61.7
October 61.5 61.6
November 61.4 61.5
December 61.4 61.6
2012 January 61.3 61.4
February 61.2 61.4
March 61.4 61.6
April 61.7 61.9
May 61.6 61.7
June 61.6 61.7
July 61.5 61.6
August 61.5 61.7
September 61.7 61.7
October 61.6 61.7
November 61.6 61.8
December 61.6 61.9
2013 January 61.6 61.9
February 61.8 61.9
March 61.6 61.7
April 61.6 61.8
May 61.7 61.8
June 61.6 61.8
July 61.6 61.7
August 61.6 61.8
September 61.5 61.7
October 61.5 61.7
November 61.5 61.6
December 61.4 61.6
2014 January 61.4 61.5
February 61.4 61.5
March 61.3 61.5
April 61.3 61.4
May 61.2 61.3
June 61.1 61.3
July 61.3 61.4
August 61.1 61.3
September 61.2 61.3
October 61.3 61.5
November 61.3 61.4
December 61.2 61.3
2015 January 61.2 61.3
February 61.3 61.4
March 61.3 61.4
April 61.2 61.3
May 61.2 61.4
June 61.2 61.3
July 61.3 61.4
August 61.3 61.4
September 61.2 61.3
October 61.2 61.3
November 61.1 61.2
December 61.0 61.2
2016 January 61.0 61.1
February 60.9 61.1
March 61.0 61.1
April 61.0 61.1
May 60.9 61.1
June 60.9 61.1
July 60.8 60.9
August 60.9 61.0
September 61.0 61.2
October 61.1 61.3
November 61.0 61.2
December 61.1 61.2
2017 January 61.3 61.5
February 61.3 61.4
March 61.3 61.4
April 61.3 61.4
May 61.4 61.5
June 61.4 61.6
July 61.4 61.6
August 61.5 61.7
September 61.4 61.6
October 61.5 61.6
November 61.6 61.8
December 61.8 62.0
2018 January 61.5 61.6
February 61.5 61.6
March 61.6 61.7
April 61.4 61.6
May 61.3 61.5
June 61.4 61.5
July 61.5 61.6
August 61.3 61.4
September 61.4 61.5
October 61.4 61.5
November 61.6 61.8
December 61.6 61.8
2019 January 61.7 61.9
February 61.8 62.0
March 61.8 61.9
April 62.0 62.2
May 62.0 62.1
June 61.9 62.0
July 61.7 61.9
August 61.9 62.0
September 61.9 62.1
October 61.9 62.0
November 61.6 61.7
December 61.7 61.8
2020 January 61.8 61.8
February 61.8 61.8
March 58.5 58.5
April 52.1 52.1
May 53.0 52.9
June 56.0 56.0
July 57.3 57.3
August 58.0 58.0
September 59.1 59.1
October 59.4 59.4
November 59.5 59.5
December 59.3 59.3

Chart 7-C

Data table for Chart 7-C 
Data table for Chart 7-C
Table summary
This table displays the results of Data table for Chart 7-C Revised and Unrevised, calculated using thousands units of measure (appearing as column headers).
Revised Unrevised
thousands
2002 January 1,305.9 1,302.9
February 1,299.6 1,291.9
March 1,295.2 1,292.1
April 1,265.5 1,266.9
May 1,281.8 1,277.5
June 1,262.6 1,268.4
July 1,265.7 1,258.0
August 1,233.8 1,236.2
September 1,257.4 1,259.4
October 1,263.8 1,258.8
November 1,245.1 1,257.5
December 1,265.5 1,269.3
2003 January 1,253.6 1,250.3
February 1,263.0 1,254.0
March 1,247.4 1,243.1
April 1,284.3 1,287.0
May 1,325.9 1,322.5
June 1,283.2 1,281.3
July 1,303.4 1,292.6
August 1,326.2 1,327.2
September 1,333.4 1,339.9
October 1,287.8 1,286.9
November 1,259.9 1,266.9
December 1,251.6 1,255.8
2004 January 1,253.5 1,248.0
February 1,249.5 1,257.7
March 1,249.9 1,254.5
April 1,231.9 1,234.9
May 1,210.7 1,209.4
June 1,237.9 1,239.5
July 1,209.4 1,201.9
August 1,200.5 1,195.7
September 1,192.9 1,199.5
October 1,215.7 1,218.6
November 1,241.1 1,238.5
December 1,229.9 1,228.7
2005 January 1,200.4 1,195.5
February 1,210.6 1,215.0
March 1,184.6 1,188.3
April 1,162.4 1,163.7
May 1,203.8 1,201.3
June 1,172.7 1,175.8
July 1,156.6 1,150.0
August 1,161.1 1,155.1
September 1,162.9 1,168.3
October 1,165.3 1,164.8
November 1,101.3 1,093.8
December 1,144.4 1,140.2
2006 January 1,148.3 1,143.0
February 1,113.0 1,117.3
March 1,109.8 1,107.3
April 1,106.2 1,100.6
May 1,067.9 1,073.7
June 1,069.5 1,070.6
July 1,117.3 1,127.0
August 1,124.6 1,126.8
September 1,125.2 1,130.1
October 1,083.9 1,079.0
November 1,117.8 1,099.2
December 1,092.1 1,077.1
2007 January 1,117.7 1,104.1
February 1,101.3 1,097.2
March 1,095.7 1,091.1
April 1,102.5 1,097.3
May 1,069.9 1,064.2
June 1,088.4 1,083.0
July 1,070.0 1,072.5
August 1,056.5 1,063.2
September 1,046.0 1,053.4
October 1,051.0 1,047.4
November 1,093.8 1,072.7
December 1,089.5 1,077.3
2008 January 1,067.6 1,063.4
February 1,083.7 1,073.4
March 1,110.2 1,098.4
April 1,096.8 1,090.0
May 1,100.7 1,090.6
June 1,091.0 1,079.1
July 1,104.0 1,097.0
August 1,097.6 1,095.6
September 1,113.6 1,104.6
October 1,136.4 1,122.5
November 1,193.4 1,199.3
December 1,253.1 1,251.1
2009 January 1,348.3 1,343.9
February 1,456.1 1,452.5
March 1,488.6 1,483.8
April 1,517.3 1,512.9
May 1,577.9 1,564.1
June 1,588.7 1,585.7
July 1,587.0 1,582.5
August 1,573.8 1,580.8
September 1,532.8 1,529.4
October 1,550.1 1,532.7
November 1,562.8 1,563.5
December 1,546.3 1,553.7
2010 January 1,523.1 1,517.7
February 1,520.0 1,513.0
March 1,517.1 1,514.6
April 1,506.0 1,499.0
May 1,493.3 1,480.4
June 1,471.4 1,463.6
July 1,482.9 1,490.9
August 1,502.0 1,509.6
September 1,510.0 1,507.4
October 1,469.7 1,448.7
November 1,419.3 1,405.5
December 1,426.7 1,411.2
2011 January 1,444.5 1,439.6
February 1,436.1 1,430.3
March 1,424.1 1,427.0
April 1,428.1 1,420.6
May 1,408.6 1,395.2
June 1,409.7 1,394.8
July 1,363.5 1,359.8
August 1,356.8 1,357.2
September 1,377.2 1,374.0
October 1,385.1 1,380.4
November 1,413.4 1,408.9
December 1,392.3 1,387.2
2012 January 1,435.9 1,430.0
February 1,393.4 1,391.6
March 1,356.7 1,365.7
April 1,362.6 1,365.1
May 1,391.8 1,387.3
June 1,355.1 1,347.0
July 1,364.0 1,362.7
August 1,362.9 1,352.5
September 1,367.3 1,369.7
October 1,406.7 1,405.7
November 1,388.3 1,369.8
December 1,373.1 1,366.8
2013 January 1,340.9 1,336.8
February 1,339.0 1,339.4
March 1,380.5 1,387.5
April 1,357.4 1,357.0
May 1,333.2 1,328.2
June 1,357.3 1,361.6
July 1,351.4 1,363.5
August 1,348.4 1,352.2
September 1,343.0 1,324.2
October 1,350.8 1,342.0
November 1,328.6 1,330.0
December 1,378.3 1,378.2
2014 January 1,343.8 1,339.2
February 1,350.6 1,340.9
March 1,330.8 1,338.5
April 1,341.7 1,336.0
May 1,336.3 1,335.7
June 1,347.8 1,342.1
July 1,349.5 1,359.6
August 1,324.8 1,334.1
September 1,308.8 1,311.0
October 1,269.9 1,273.8
November 1,274.4 1,283.6
December 1,267.3 1,273.6
2015 January 1,267.2 1,268.3
February 1,297.4 1,302.2
March 1,310.8 1,306.5
April 1,317.6 1,314.8
May 1,315.5 1,317.1
June 1,316.9 1,320.3
July 1,316.0 1,318.2
August 1,347.0 1,351.6
September 1,358.2 1,367.7
October 1,331.2 1,346.1
November 1,363.9 1,377.1
December 1,379.1 1,385.2
2016 January 1,387.0 1,393.3
February 1,404.6 1,409.5
March 1,366.1 1,372.0
April 1,382.5 1,386.1
May 1,350.9 1,348.2
June 1,320.1 1,318.5
July 1,347.8 1,348.5
August 1,342.1 1,348.5
September 1,357.5 1,354.9
October 1,348.6 1,346.4
November 1,341.7 1,342.3
December 1,357.2 1,354.3
2017 January 1,317.2 1,318.5
February 1,291.6 1,290.0
March 1,307.9 1,304.8
April 1,265.0 1,263.4
May 1,292.2 1,298.5
June 1,262.1 1,262.1
July 1,237.8 1,232.5
August 1,204.9 1,199.6
September 1,215.5 1,211.6
October 1,231.8 1,228.4
November 1,184.2 1,175.3
December 1,156.9 1,150.9
2018 January 1,168.6 1,152.0
February 1,163.2 1,146.5
March 1,155.9 1,145.6
April 1,170.0 1,157.6
May 1,182.1 1,172.1
June 1,203.1 1,199.3
July 1,155.5 1,157.0
August 1,178.6 1,182.0
September 1,166.9 1,164.5
October 1,158.2 1,145.7
November 1,142.1 1,123.6
December 1,146.2 1,135.6
2019 January 1,180.9 1,162.4
February 1,177.2 1,160.0
March 1,169.2 1,155.6
April 1,166.9 1,154.6
May 1,093.6 1,092.3
June 1,127.0 1,122.9
July 1,165.3 1,153.3
August 1,176.6 1,159.7
September 1,124.4 1,108.4
October 1,138.4 1,129.4
November 1,195.3 1,192.1
December 1,148.7 1,143.2
2020 January 1,136.8 1,124.4
February 1,145.7 1,133.8
March 1,553.8 1,547.0
April 2,443.9 2,418.3
May 2,609.8 2,619.2
June 2,474.4 2,452.6
July 2,182.8 2,183.6
August 2,054.8 2,046.9
September 1,858.2 1,832.6
October 1,833.2 1,816.8
November 1,742.5 1,735.2
December 1,773.9 1,755.8

Chart 7-D

Data table for Chart 7-D 
Data table for Chart 7-D
Table summary
This table displays the results of Data table for Chart 7-D Revised and Unrevised, calculated using percent units of measure (appearing as column headers).
Revised Unrevised
percent
2002 January 8.0 8.0
February 8.0 7.9
March 7.9 7.9
April 7.7 7.7
May 7.8 7.7
June 7.6 7.7
July 7.6 7.6
August 7.4 7.4
September 7.5 7.5
October 7.6 7.5
November 7.4 7.5
December 7.5 7.6
2003 January 7.5 7.4
February 7.5 7.4
March 7.4 7.4
April 7.6 7.6
May 7.8 7.8
June 7.6 7.6
July 7.7 7.6
August 7.8 7.8
September 7.8 7.9
October 7.6 7.6
November 7.4 7.4
December 7.3 7.4
2004 January 7.3 7.3
February 7.3 7.4
March 7.3 7.3
April 7.2 7.2
May 7.1 7.1
June 7.2 7.2
July 7.1 7.0
August 7.0 7.0
September 6.9 7.0
October 7.1 7.1
November 7.2 7.2
December 7.1 7.1
2005 January 7.0 6.9
February 7.0 7.0
March 6.9 6.9
April 6.7 6.8
May 7.0 7.0
June 6.8 6.8
July 6.7 6.7
August 6.7 6.7
September 6.7 6.7
October 6.7 6.7
November 6.4 6.3
December 6.6 6.6
2006 January 6.6 6.6
February 6.4 6.4
March 6.4 6.4
April 6.3 6.3
May 6.1 6.1
June 6.1 6.1
July 6.4 6.4
August 6.4 6.4
September 6.4 6.4
October 6.2 6.1
November 6.4 6.2
December 6.2 6.1
2007 January 6.3 6.2
February 6.2 6.2
March 6.2 6.1
April 6.2 6.2
May 6.0 6.0
June 6.1 6.1
July 6.0 6.0
August 5.9 5.9
September 5.9 5.9
October 5.9 5.8
November 6.1 6.0
December 6.1 6.0
2008 January 5.9 5.9
February 6.0 5.9
March 6.2 6.1
April 6.1 6.0
May 6.1 6.0
June 6.1 6.0
July 6.1 6.1
August 6.1 6.1
September 6.1 6.1
October 6.2 6.2
November 6.6 6.6
December 6.9 6.9
2009 January 7.4 7.4
February 8.0 8.0
March 8.2 8.1
April 8.3 8.3
May 8.7 8.6
June 8.7 8.7
July 8.7 8.7
August 8.6 8.7
September 8.4 8.4
October 8.5 8.4
November 8.5 8.5
December 8.5 8.5
2010 January 8.3 8.3
February 8.3 8.2
March 8.3 8.2
April 8.2 8.1
May 8.1 8.0
June 8.0 7.9
July 8.0 8.1
August 8.1 8.1
September 8.2 8.1
October 8.0 7.8
November 7.7 7.6
December 7.7 7.6
2011 January 7.8 7.7
February 7.7 7.7
March 7.7 7.7
April 7.7 7.6
May 7.6 7.5
June 7.6 7.5
July 7.3 7.3
August 7.3 7.3
September 7.4 7.4
October 7.4 7.4
November 7.6 7.5
December 7.5 7.4
2012 January 7.7 7.6
February 7.5 7.5
March 7.3 7.3
April 7.3 7.3
May 7.4 7.4
June 7.2 7.2
July 7.3 7.3
August 7.3 7.2
September 7.3 7.3
October 7.5 7.4
November 7.4 7.2
December 7.3 7.2
2013 January 7.1 7.1
February 7.1 7.1
March 7.3 7.3
April 7.2 7.1
May 7.0 7.0
June 7.2 7.1
July 7.1 7.2
August 7.1 7.1
September 7.1 7.0
October 7.1 7.0
November 7.0 7.0
December 7.3 7.2
2014 January 7.1 7.0
February 7.1 7.0
March 7.0 7.0
April 7.1 7.0
May 7.1 7.0
June 7.1 7.0
July 7.1 7.1
August 7.0 7.0
September 6.9 6.9
October 6.7 6.7
November 6.7 6.7
December 6.7 6.7
2015 January 6.7 6.6
February 6.8 6.8
March 6.9 6.8
April 6.9 6.8
May 6.9 6.8
June 6.9 6.9
July 6.9 6.8
August 7.0 7.0
September 7.1 7.1
October 6.9 7.0
November 7.1 7.1
December 7.2 7.1
2016 January 7.2 7.2
February 7.3 7.3
March 7.1 7.1
April 7.2 7.1
May 7.0 6.9
June 6.9 6.8
July 7.0 7.0
August 7.0 6.9
September 7.0 6.9
October 7.0 6.9
November 6.9 6.9
December 7.0 6.9
2017 January 6.8 6.7
February 6.6 6.6
March 6.7 6.7
April 6.5 6.5
May 6.6 6.6
June 6.5 6.4
July 6.3 6.3
August 6.2 6.1
September 6.2 6.2
October 6.3 6.2
November 6.0 6.0
December 5.9 5.8
2018 January 6.0 5.8
February 5.9 5.8
March 5.9 5.8
April 5.9 5.9
May 6.0 5.9
June 6.1 6.0
July 5.8 5.8
August 6.0 6.0
September 5.9 5.9
October 5.9 5.8
November 5.7 5.6
December 5.8 5.7
2019 January 5.9 5.8
February 5.9 5.8
March 5.8 5.7
April 5.8 5.7
May 5.4 5.4
June 5.6 5.6
July 5.8 5.7
August 5.8 5.7
September 5.6 5.5
October 5.6 5.6
November 5.9 5.9
December 5.7 5.6
2020 January 5.6 5.5
February 5.7 5.6
March 7.9 7.8
April 13.1 13.0
May 13.7 13.7
June 12.5 12.3
July 10.9 10.9
August 10.2 10.2
September 9.2 9.0
October 9.0 8.9
November 8.6 8.5
December 8.8 8.6

Chart 7-E

Data table for Chart 7-E 
Data table for Chart 7-E
Table summary
This table displays the results of Data table for Chart 7-E Revised and Unrevised, calculated using thousands units of measure (appearing as column headers).
Revised Unrevised
thousands
2002 January 16,324.2 16,326.8
February 16,338.4 16,334.7
March 16,409.4 16,402.6
April 16,431.4 16,438.8
May 16,503.5 16,502.9
June 16,541.5 16,556.3
July 16,593.6 16,591.7
August 16,646.3 16,650.8
September 16,673.3 16,682.2
October 16,685.9 16,684.3
November 16,719.7 16,722.4
December 16,788.3 16,776.3
2003 January 16,796.3 16,791.0
February 16,858.9 16,854.1
March 16,846.3 16,842.0
April 16,877.3 16,884.6
May 16,902.2 16,903.6
June 16,915.9 16,910.4
July 16,953.7 16,943.6
August 16,975.7 16,980.7
September 17,014.7 17,024.5
October 17,018.8 17,022.7
November 17,041.2 17,044.0
December 17,068.6 17,062.9
2004 January 17,072.6 17,059.1
February 17,083.9 17,088.4
March 17,096.6 17,097.0
April 17,117.8 17,120.1
May 17,117.2 17,123.3
June 17,162.4 17,165.8
July 17,145.7 17,136.1
August 17,134.0 17,121.5
September 17,169.9 17,174.1
October 17,202.6 17,208.6
November 17,244.6 17,247.0
December 17,246.6 17,246.8
2005 January 17,231.9 17,210.6
February 17,260.2 17,266.1
March 17,234.7 17,235.5
April 17,238.3 17,238.9
May 17,277.2 17,275.6
June 17,272.8 17,280.4
July 17,297.6 17,288.0
August 17,341.7 17,328.5
September 17,328.8 17,328.3
October 17,372.1 17,372.3
November 17,334.2 17,333.9
December 17,370.8 17,373.8
2006 January 17,366.7 17,363.7
February 17,362.2 17,377.1
March 17,410.1 17,417.5
April 17,439.2 17,440.5
May 17,476.8 17,490.3
June 17,467.6 17,491.1
July 17,523.6 17,549.6
August 17,530.4 17,555.1
September 17,547.5 17,583.2
October 17,524.8 17,554.6
November 17,565.7 17,602.4
December 17,605.9 17,644.6
2007 January 17,694.2 17,725.6
February 17,689.9 17,739.8
March 17,741.2 17,781.9
April 17,713.7 17,773.0
May 17,715.5 17,762.9
June 17,778.1 17,839.0
July 17,809.7 17,871.3
August 17,816.4 17,869.7
September 17,849.7 17,904.8
October 17,906.8 17,954.5
November 17,960.4 17,996.2
December 17,948.7 18,004.1
2008 January 17,978.5 18,016.2
February 18,023.7 18,071.6
March 18,033.1 18,081.2
April 18,036.5 18,092.4
May 18,053.5 18,098.0
June 18,030.6 18,079.8
July 18,031.3 18,088.9
August 18,056.1 18,106.3
September 18,120.2 18,176.6
October 18,185.6 18,223.1
November 18,148.8 18,178.5
December 18,179.0 18,199.2
2009 January 18,141.2 18,167.3
February 18,191.9 18,223.2
March 18,209.5 18,236.3
April 18,184.1 18,222.5
May 18,222.3 18,247.6
June 18,223.6 18,259.8
July 18,230.0 18,257.0
August 18,212.4 18,263.7
September 18,195.3 18,240.1
October 18,215.2 18,251.0
November 18,309.9 18,362.5
December 18,278.5 18,337.3
2010 January 18,281.8 18,346.0
February 18,299.8 18,358.4
March 18,316.3 18,372.5
April 18,378.6 18,433.6
May 18,391.3 18,429.8
June 18,428.1 18,483.3
July 18,453.1 18,501.8
August 18,485.9 18,534.8
September 18,449.0 18,497.2
October 18,434.9 18,473.8
November 18,414.7 18,461.9
December 18,467.2 18,502.8
2011 January 18,544.3 18,583.2
February 18,536.3 18,570.8
March 18,545.1 18,590.3
April 18,578.8 18,620.3
May 18,553.0 18,577.6
June 18,587.9 18,624.8
July 18,564.8 18,609.5
August 18,582.6 18,633.4
September 18,621.2 18,658.3
October 18,597.3 18,644.9
November 18,617.8 18,667.9
December 18,611.7 18,679.7
2012 January 18,637.6 18,695.6
February 18,591.1 18,654.8
March 18,631.5 18,723.1
April 18,732.6 18,815.4
May 18,746.1 18,816.4
June 18,729.9 18,799.6
July 18,730.9 18,791.6
August 18,767.6 18,829.2
September 18,818.5 18,881.3
October 18,853.2 18,936.8
November 18,847.8 18,930.2
December 18,862.6 18,971.3
2013 January 18,848.9 18,953.9
February 18,892.8 18,980.3
March 18,888.9 18,997.8
April 18,890.9 19,000.2
May 18,929.7 19,010.9
June 18,946.4 19,050.2
July 18,936.6 19,047.9
August 18,962.4 19,076.3
September 18,944.9 19,052.6
October 18,957.8 19,079.8
November 18,956.7 19,074.0
December 18,992.6 19,113.6
2014 January 18,972.9 19,085.7
February 18,988.0 19,095.8
March 18,969.2 19,109.5
April 18,970.7 19,098.6
May 18,954.2 19,085.2
June 18,981.9 19,116.9
July 19,038.4 19,167.2
August 18,987.8 19,125.4
September 19,014.7 19,131.8
October 19,006.6 19,150.2
November 19,014.9 19,143.1
December 18,981.2 19,117.2
2015 January 19,007.2 19,143.0
February 19,052.9 19,193.9
March 19,078.5 19,211.2
April 19,068.0 19,213.4
May 19,097.4 19,258.9
June 19,103.1 19,269.3
July 19,143.7 19,294.5
August 19,193.2 19,342.0
September 19,184.0 19,354.7
October 19,174.9 19,353.2
November 19,184.6 19,363.6
December 19,198.3 19,380.8
2016 January 19,206.2 19,387.7
February 19,229.3 19,410.1
March 19,227.7 19,398.3
April 19,255.7 19,431.6
May 19,225.5 19,400.4
June 19,210.4 19,375.7
July 19,217.9 19,393.0
August 19,266.3 19,437.5
September 19,329.5 19,502.3
October 19,364.4 19,527.8
November 19,355.1 19,507.1
December 19,408.0 19,548.2
2017 January 19,450.5 19,594.9
February 19,438.6 19,579.7
March 19,471.3 19,610.9
April 19,447.3 19,586.4
May 19,527.5 19,670.8
June 19,531.3 19,676.7
July 19,528.3 19,671.3
August 19,540.6 19,674.5
September 19,548.4 19,678.9
October 19,603.1 19,725.2
November 19,623.4 19,735.8
December 19,673.0 19,776.2
2018 January 19,604.4 19,703.4
February 19,622.2 19,705.9
March 19,671.3 19,747.1
April 19,671.4 19,752.8
May 19,674.5 19,762.5
June 19,742.5 19,829.2
July 19,761.2 19,847.5
August 19,730.7 19,822.5
September 19,786.1 19,863.9
October 19,789.0 19,861.1
November 19,883.2 19,938.6
December 19,887.2 19,960.3
2019 January 19,996.5 20,053.8
February 20,044.5 20,104.1
March 20,030.0 20,099.5
April 20,130.2 20,196.2
May 20,079.1 20,142.7
June 20,117.0 20,174.0
July 20,134.0 20,191.2
August 20,220.5 20,273.0
September 20,205.7 20,263.2
October 20,217.2 20,281.1
November 20,215.6 20,289.3
December 20,222.9 20,267.7
2020 January 20,243.0 20,283.5
February 20,276.0 20,323.2
March 19,687.6 19,725.7
April 18,585.4 18,603.2
May 19,053.8 19,093.7
June 19,860.1 19,880.0
July 19,985.3 20,029.5
August 20,071.1 20,138.6
September 20,246.7 20,302.5
October 20,316.2 20,370.3
November 20,279.9 20,350.8
December 20,258.8 20,308.8

Chart 7-F

Data table for Chart 7-F 
Data table for Chart 7-F
Table summary
This table displays the results of Data table for Chart 7-F Revised and Unrevised, calculated using percent units of measure (appearing as column headers).
Revised Unrevised
percent
2002 January 66.3 66.3
February 66.3 66.3
March 66.5 66.5
April 66.5 66.6
May 66.7 66.7
June 66.8 66.9
July 66.9 66.9
August 67.1 67.1
September 67.1 67.1
October 67.1 67.1
November 67.2 67.2
December 67.4 67.3
2003 January 67.4 67.3
February 67.6 67.5
March 67.4 67.4
April 67.5 67.5
May 67.5 67.5
June 67.5 67.5
July 67.6 67.5
August 67.6 67.6
September 67.6 67.7
October 67.6 67.6
November 67.6 67.6
December 67.7 67.6
2004 January 67.6 67.6
February 67.6 67.6
March 67.6 67.6
April 67.6 67.6
May 67.5 67.5
June 67.6 67.6
July 67.4 67.4
August 67.3 67.2
September 67.4 67.4
October 67.4 67.4
November 67.5 67.5
December 67.5 67.5
2005 January 67.4 67.3
February 67.4 67.4
March 67.2 67.2
April 67.2 67.2
May 67.2 67.2
June 67.1 67.1
July 67.1 67.1
August 67.2 67.1
September 67.1 67.1
October 67.2 67.2
November 66.9 66.9
December 67.0 67.0
2006 January 66.9 66.9
February 66.8 66.9
March 66.9 67.0
April 67.0 67.0
May 67.0 67.1
June 66.9 67.0
July 67.0 67.2
August 67.0 67.1
September 67.0 67.1
October 66.8 66.9
November 66.9 67.1
December 67.0 67.1
2007 January 67.2 67.4
February 67.2 67.4
March 67.3 67.5
April 67.1 67.4
May 67.1 67.3
June 67.2 67.5
July 67.2 67.5
August 67.2 67.4
September 67.2 67.5
October 67.4 67.6
November 67.5 67.7
December 67.4 67.6
2008 January 67.4 67.6
February 67.5 67.7
March 67.5 67.7
April 67.4 67.7
May 67.4 67.6
June 67.2 67.4
July 67.2 67.4
August 67.2 67.4
September 67.3 67.5
October 67.5 67.6
November 67.3 67.4
December 67.3 67.4
2009 January 67.1 67.2
February 67.2 67.4
March 67.2 67.3
April 67.0 67.2
May 67.1 67.2
June 67.0 67.2
July 67.0 67.1
August 66.8 67.0
September 66.7 66.8
October 66.7 66.8
November 66.9 67.1
December 66.8 67.0
2010 January 66.7 67.0
February 66.7 66.9
March 66.7 66.9
April 66.9 67.1
May 66.8 67.0
June 66.9 67.1
July 66.9 67.0
August 66.9 67.1
September 66.7 66.9
October 66.6 66.7
November 66.4 66.6
December 66.6 66.7
2011 January 66.8 66.9
February 66.7 66.8
March 66.7 66.9
April 66.8 66.9
May 66.6 66.7
June 66.6 66.8
July 66.5 66.6
August 66.5 66.6
September 66.6 66.6
October 66.4 66.5
November 66.4 66.5
December 66.3 66.5
2012 January 66.4 66.5
February 66.2 66.3
March 66.2 66.5
April 66.5 66.7
May 66.5 66.6
June 66.4 66.5
July 66.3 66.4
August 66.4 66.4
September 66.5 66.6
October 66.5 66.7
November 66.5 66.6
December 66.5 66.7
2013 January 66.4 66.6
February 66.5 66.6
March 66.4 66.6
April 66.3 66.5
May 66.4 66.5
June 66.4 66.5
July 66.3 66.4
August 66.3 66.5
September 66.2 66.3
October 66.2 66.3
November 66.1 66.3
December 66.2 66.3
2014 January 66.1 66.2
February 66.1 66.2
March 66.0 66.2
April 65.9 66.1
May 65.8 65.9
June 65.8 66.0
July 66.0 66.1
August 65.7 65.9
September 65.8 65.8
October 65.7 65.9
November 65.7 65.8
December 65.5 65.7
2015 January 65.6 65.7
February 65.7 65.8
March 65.8 65.8
April 65.7 65.8
May 65.8 65.9
June 65.7 65.8
July 65.8 65.9
August 65.9 66.0
September 65.8 65.9
October 65.8 65.9
November 65.8 65.9
December 65.8 65.9
2016 January 65.7 65.9
February 65.7 65.9
March 65.7 65.8
April 65.7 65.8
May 65.5 65.7
June 65.4 65.5
July 65.4 65.5
August 65.4 65.6
September 65.6 65.7
October 65.6 65.8
November 65.6 65.7
December 65.7 65.8
2017 January 65.8 65.9
February 65.7 65.8
March 65.7 65.8
April 65.6 65.7
May 65.7 65.9
June 65.7 65.8
July 65.6 65.7
August 65.5 65.7
September 65.5 65.6
October 65.6 65.7
November 65.6 65.7
December 65.7 65.8
2018 January 65.3 65.5
February 65.3 65.4
March 65.4 65.5
April 65.3 65.4
May 65.2 65.4
June 65.4 65.5
July 65.3 65.5
August 65.1 65.3
September 65.2 65.4
October 65.2 65.3
November 65.4 65.5
December 65.3 65.5
2019 January 65.6 65.7
February 65.7 65.8
March 65.6 65.7
April 65.8 65.9
May 65.6 65.7
June 65.6 65.7
July 65.5 65.6
August 65.7 65.8
September 65.6 65.7
October 65.6 65.6
November 65.5 65.6
December 65.5 65.5
2020 January 65.5 65.4
February 65.5 65.5
March 63.6 63.5
April 60.0 59.8
May 61.4 61.4
June 64.0 63.8
July 64.3 64.3
August 64.6 64.6
September 65.1 65.0
October 65.2 65.2
November 65.1 65.1
December 65.0 64.9

3.2 Impact by age and sex on labour market estimates

Revisions to population control totals affect groups differently based on their underlying labour market characteristics.

Some of the largest employment revisions were for youth aged 15 to 24, reflecting increases in their population control totals (Chart 8-A). Youth employment was revised up by a maximum of 4.2% (+101,000) in December 2018. These differences were 2.9% in 2019 and 2.3% in 2020, on average. As a result of these population control total updates, the rates were revised up for youth participation (+0.5 percentage points) and employment (+0.6 percentage points), on average throughout the revision period. The youth unemployment rate was virtually unchanged. While the revisions to youth population control totals were the largest, their overall impact on national labour market trends was minimized because their participation is relatively low.

For people aged 25 to 54, employment was revised down slightly, more so for women than men (Charts 8-B and 8-C). Reflecting the population control totals, these differences were greatest between 2013 and 2018. The biggest difference for core-age women was a 1.4% (-81,000) downward revision in January 2018. By 2019 and 2020 this difference was minimized at -1.0% and -0.8% on average, respectively. For men, the biggest revision was a reduction of 1.0% (-60,000) in September 2016. By 2019 the proportional downward change was -0.6%, and by 2020 it was -0.8%. Labour force participation rates were revised slightly on average over the revision period, down 0.1 percentage point for core-age men compared with a reduction of 0.2 percentage points for women. The unemployment rate for both core-age men and women was virtually unchanged throughout most of the period.

Among those 55 and older, employment was revised down a maximum of 2.1% (-70,000) in December 2012 (Chart 8-D). The difference was on average lower by 1.1% in 2019, and 0.2% in 2020. As a result, participation rates were revised down slightly in the earlier period of the revision (for example, down 0.7 percentage points in February 2010), but the differences, on average, had minimized by 2019 (-0.2 percentage points) and 2020 (+0.2 percentage points). The unemployment rate was revised up slightly, on average throughout the revision period for the seasonally adjusted data between 2002 and 2020, but for the most part was not significantly different from originally published.

Chart 8-A

Data table for Chart 8-A 
Data table for Chart 8-A
Table summary
This table displays the results of Data table for Chart 8-A Revised and Unrevised, calculated using thousands units of measure (appearing as column headers).
Revised Unrevised
thousands
2002 January 2,346.0 2,346.6
February 2,341.7 2,343.3
March 2,354.7 2,353.1
April 2,367.2 2,370.2
May 2,374.1 2,373.3
June 2,387.2 2,390.9
July 2,404.7 2,405.3
August 2,425.9 2,428.4
September 2,404.6 2,403.7
October 2,408.3 2,405.2
November 2,417.8 2,412.4
December 2,431.2 2,424.1
2003 January 2,431.2 2,430.4
February 2,454.5 2,456.3
March 2,460.6 2,460.3
April 2,445.9 2,448.7
May 2,430.8 2,431.8
June 2,438.4 2,440.0
July 2,427.6 2,428.1
August 2,428.4 2,431.2
September 2,423.1 2,421.0
October 2,429.5 2,426.4
November 2,442.6 2,437.8
December 2,438.3 2,432.1
2004 January 2,439.4 2,436.9
February 2,425.3 2,427.2
March 2,430.0 2,434.8
April 2,445.7 2,447.7
May 2,450.8 2,455.1
June 2,474.2 2,479.0
July 2,470.2 2,470.5
August 2,455.7 2,453.4
September 2,488.9 2,485.5
October 2,476.8 2,474.1
November 2,479.4 2,476.1
December 2,481.4 2,477.1
2005 January 2,470.1 2,465.0
February 2,471.4 2,474.9
March 2,445.3 2,453.1
April 2,458.1 2,460.5
May 2,461.3 2,460.4
June 2,454.1 2,461.2
July 2,477.6 2,477.9
August 2,499.0 2,496.7
September 2,489.1 2,483.9
October 2,508.8 2,504.6
November 2,524.1 2,520.7
December 2,525.7 2,522.9
2006 January 2,531.3 2,514.3
February 2,544.5 2,524.5
March 2,580.0 2,563.8
April 2,558.9 2,530.2
May 2,583.1 2,548.3
June 2,579.4 2,556.5
July 2,572.5 2,539.0
August 2,574.9 2,542.7
September 2,575.1 2,543.4
October 2,605.1 2,568.1
November 2,588.0 2,554.2
December 2,602.4 2,566.2
2007 January 2,610.4 2,569.3
February 2,620.6 2,588.1
March 2,633.3 2,599.8
April 2,608.4 2,570.5
May 2,630.2 2,593.9
June 2,641.9 2,617.0
July 2,655.0 2,624.2
August 2,648.0 2,615.9
September 2,637.0 2,612.1
October 2,645.1 2,616.3
November 2,650.8 2,624.7
December 2,649.1 2,623.7
2008 January 2,649.1 2,621.1
February 2,650.7 2,627.6
March 2,640.9 2,616.3
April 2,663.6 2,628.2
May 2,634.7 2,600.3
June 2,636.0 2,607.7
July 2,637.0 2,612.9
August 2,654.1 2,628.9
September 2,688.4 2,654.3
October 2,666.4 2,632.1
November 2,643.4 2,605.5
December 2,612.8 2,573.9
2009 January 2,562.4 2,525.9
February 2,538.8 2,501.8
March 2,532.5 2,500.9
April 2,510.3 2,476.7
May 2,505.4 2,468.6
June 2,485.1 2,439.7
July 2,459.0 2,415.8
August 2,447.7 2,404.9
September 2,455.7 2,408.1
October 2,457.0 2,407.5
November 2,467.3 2,428.5
December 2,455.3 2,419.3
2010 January 2,472.6 2,441.3
February 2,469.5 2,434.2
March 2,471.1 2,437.4
April 2,491.3 2,461.5
May 2,484.8 2,447.4
June 2,498.5 2,467.8
July 2,498.4 2,461.0
August 2,492.4 2,457.1
September 2,438.4 2,399.6
October 2,451.3 2,417.4
November 2,454.9 2,426.0
December 2,486.8 2,458.7
2011 January 2,496.0 2,464.6
February 2,514.8 2,476.9
March 2,496.0 2,463.1
April 2,494.9 2,468.4
May 2,495.1 2,456.5
June 2,505.1 2,468.0
July 2,518.3 2,484.3
August 2,521.1 2,489.6
September 2,521.9 2,485.0
October 2,500.9 2,468.9
November 2,502.1 2,469.3
December 2,486.3 2,454.2
2012 January 2,470.0 2,435.9
February 2,442.4 2,410.7
March 2,472.0 2,450.3
April 2,499.1 2,473.6
May 2,466.5 2,439.3
June 2,454.2 2,431.9
July 2,457.3 2,433.8
August 2,456.7 2,429.5
September 2,465.0 2,434.4
October 2,459.3 2,439.6
November 2,476.2 2,455.8
December 2,479.3 2,459.0
2013 January 2,495.6 2,477.9
February 2,504.7 2,479.8
March 2,482.2 2,469.2
April 2,475.4 2,469.4
May 2,494.8 2,473.4
June 2,501.0 2,485.7
July 2,478.5 2,468.6
August 2,486.3 2,478.4
September 2,483.8 2,481.8
October 2,479.5 2,479.5
November 2,462.0 2,459.7
December 2,467.5 2,467.6
2014 January 2,458.6 2,460.5
February 2,461.8 2,458.7
March 2,472.1 2,472.7
April 2,463.9 2,468.2
May 2,480.4 2,478.3
June 2,473.7 2,474.7
July 2,498.3 2,493.9
August 2,482.4 2,477.7
September 2,511.3 2,491.5
October 2,519.1 2,518.6
November 2,508.9 2,498.3
December 2,501.0 2,489.3
2015 January 2,504.2 2,491.7
February 2,498.3 2,493.5
March 2,496.6 2,494.7
April 2,482.2 2,480.2
May 2,492.7 2,487.6
June 2,474.6 2,470.8
July 2,474.7 2,469.8
August 2,469.9 2,471.5
September 2,459.3 2,465.0
October 2,455.9 2,461.0
November 2,445.1 2,445.3
December 2,436.1 2,435.6
2016 January 2,443.5 2,444.0
February 2,439.8 2,434.7
March 2,437.5 2,432.7
April 2,442.2 2,440.1
May 2,400.6 2,405.9
June 2,420.4 2,422.0
July 2,398.4 2,394.5
August 2,435.2 2,426.6
September 2,441.7 2,433.1
October 2,463.6 2,449.1
November 2,455.3 2,432.7
December 2,471.6 2,447.0
2017 January 2,473.1 2,447.8
February 2,470.4 2,441.6
March 2,469.9 2,434.3
April 2,483.7 2,444.0
May 2,508.1 2,468.7
June 2,502.9 2,464.6
July 2,519.0 2,476.3
August 2,491.1 2,442.1
September 2,506.8 2,446.3
October 2,533.6 2,465.4
November 2,561.9 2,494.0
December 2,565.3 2,496.8
2018 January 2,536.1 2,465.1
February 2,527.6 2,451.4
March 2,549.0 2,469.7
April 2,526.1 2,443.6
May 2,532.1 2,447.4
June 2,547.1 2,456.3
July 2,561.7 2,467.3
August 2,555.9 2,457.9
September 2,556.9 2,457.7
October 2,522.1 2,426.0
November 2,536.5 2,436.1
December 2,529.2 2,428.4
2019 January 2,567.9 2,472.9
February 2,584.3 2,498.8
March 2,573.4 2,498.3
April 2,624.2 2,543.9
May 2,599.7 2,517.4
June 2,595.5 2,513.9
July 2,567.4 2,499.9
August 2,604.2 2,533.8
September 2,585.4 2,522.4
October 2,593.7 2,528.8
November 2,580.1 2,522.0
December 2,589.4 2,524.2
2020 January 2,587.8 2,531.3
February 2,601.4 2,553.0
March 2,185.7 2,160.5
April 1,709.8 1,680.4
May 1,755.0 1,709.9
June 2,018.5 1,972.8
July 2,163.0 2,108.1
August 2,221.5 2,163.1
September 2,351.4 2,290.4
October 2,354.8 2,292.5
November 2,372.5 2,312.5
December 2,332.0 2,286.0

Chart 8-B

Data table for Chart 8-B 
Data table for Chart 8-B
Table summary
This table displays the results of Data table for Chart 8-B Revised and Unrevised, calculated using thousands units of measure (appearing as column headers).
Revised Unrevised
thousands
2002 January 5,814.1 5,816.5
February 5,835.7 5,834.9
March 5,868.3 5,871.1
April 5,880.4 5,883.4
May 5,901.1 5,902.5
June 5,922.9 5,920.4
July 5,930.6 5,929.8
August 5,946.7 5,943.6
September 5,940.4 5,946.2
October 5,939.9 5,944.2
November 5,948.6 5,945.1
December 5,945.8 5,945.9
2003 January 5,955.1 5,954.0
February 5,963.8 5,963.2
March 5,945.3 5,952.1
April 5,952.1 5,954.6
May 5,949.5 5,952.0
June 5,948.7 5,951.3
July 5,951.4 5,950.1
August 5,931.8 5,929.6
September 5,950.2 5,953.0
October 5,953.8 5,959.5
November 5,979.8 5,978.5
December 5,990.7 5,989.7
2004 January 5,995.6 5,992.8
February 5,974.3 5,967.1
March 5,991.8 5,990.2
April 5,995.4 5,995.6
May 5,995.2 5,999.6
June 6,002.7 6,003.5
July 6,017.2 6,016.7
August 6,030.4 6,022.5
September 6,011.0 6,010.2
October 6,035.6 6,040.6
November 6,012.0 6,016.1
December 6,013.8 6,015.2
2005 January 6,026.4 6,019.9
February 6,024.9 6,020.3
March 6,039.7 6,038.2
April 6,033.2 6,032.3
May 6,026.8 6,026.9
June 6,044.7 6,044.0
July 6,038.3 6,038.1
August 6,054.1 6,047.6
September 6,060.3 6,057.4
October 6,062.3 6,066.7
November 6,054.5 6,060.3
December 6,066.6 6,069.1
2006 January 6,030.9 6,044.8
February 6,051.6 6,060.9
March 6,057.5 6,064.2
April 6,075.9 6,078.7
May 6,090.4 6,090.5
June 6,081.2 6,082.8
July 6,076.9 6,084.4
August 6,084.2 6,087.4
September 6,082.4 6,086.6
October 6,063.7 6,076.8
November 6,061.2 6,076.5
December 6,068.9 6,082.2
2007 January 6,091.9 6,106.3
February 6,087.3 6,094.7
March 6,084.2 6,088.2
April 6,072.5 6,082.3
May 6,082.8 6,086.4
June 6,092.7 6,100.6
July 6,108.9 6,114.1
August 6,091.1 6,095.3
September 6,124.8 6,125.9
October 6,114.6 6,124.5
November 6,131.3 6,141.8
December 6,133.1 6,147.5
2008 January 6,161.2 6,167.2
February 6,165.6 6,172.0
March 6,174.1 6,187.3
April 6,177.4 6,190.5
May 6,186.8 6,194.0
June 6,167.6 6,183.6
July 6,147.7 6,159.2
August 6,157.2 6,167.8
September 6,147.9 6,167.5
October 6,174.7 6,185.2
November 6,148.4 6,146.5
December 6,112.0 6,123.5
2009 January 6,044.8 6,051.1
February 6,009.1 6,013.6
March 5,987.5 5,989.9
April 5,962.3 5,971.6
May 5,944.5 5,952.0
June 5,949.5 5,963.9
July 5,983.9 5,986.1
August 5,977.5 5,984.4
September 5,964.3 5,979.0
October 5,975.8 5,985.0
November 5,976.9 5,985.5
December 5,969.2 5,984.4
2010 January 5,974.4 5,986.0
February 5,975.4 5,984.1
March 5,980.1 5,989.5
April 6,012.5 6,019.9
May 6,021.1 6,030.6
June 6,046.3 6,058.3
July 6,041.6 6,051.6
August 6,051.2 6,055.9
September 6,050.8 6,062.9
October 6,056.1 6,069.4
November 6,064.5 6,078.3
December 6,074.6 6,088.3
2011 January 6,083.5 6,091.4
February 6,074.7 6,079.4
March 6,106.3 6,113.2
April 6,096.2 6,106.5
May 6,097.8 6,103.4
June 6,095.5 6,107.2
July 6,095.6 6,108.0
August 6,112.4 6,117.4
September 6,112.2 6,119.0
October 6,108.7 6,117.7
November 6,094.1 6,111.2
December 6,082.3 6,107.0
2012 January 6,095.3 6,111.3
February 6,105.7 6,118.9
March 6,099.6 6,120.8
April 6,121.5 6,136.5
May 6,136.4 6,152.1
June 6,149.8 6,168.6
July 6,124.1 6,141.3
August 6,128.3 6,147.4
September 6,143.1 6,154.2
October 6,125.9 6,150.0
November 6,115.9 6,152.7
December 6,141.4 6,176.5
2013 January 6,116.4 6,150.9
February 6,133.8 6,159.7
March 6,122.6 6,153.7
April 6,137.7 6,163.8
May 6,139.2 6,162.1
June 6,133.1 6,160.7
July 6,139.8 6,163.8
August 6,126.0 6,150.4
September 6,134.2 6,164.4
October 6,129.7 6,160.7
November 6,143.7 6,165.6
December 6,114.8 6,149.2
2014 January 6,137.3 6,165.9
February 6,126.1 6,157.0
March 6,126.7 6,164.8
April 6,126.9 6,155.2
May 6,114.2 6,147.5
June 6,102.2 6,144.7
July 6,112.8 6,149.4
August 6,139.2 6,177.3
September 6,144.3 6,175.1
October 6,145.6 6,179.3
November 6,159.0 6,185.4
December 6,181.8 6,217.6
2015 January 6,157.3 6,199.5
February 6,151.7 6,196.4
March 6,135.8 6,179.6
April 6,123.3 6,173.7
May 6,133.2 6,190.4
June 6,139.9 6,197.2
July 6,161.4 6,212.7
August 6,161.7 6,212.3
September 6,161.0 6,213.9
October 6,168.1 6,217.8
November 6,143.9 6,197.7
December 6,127.6 6,183.4
2016 January 6,121.7 6,175.9
February 6,117.0 6,175.4
March 6,127.3 6,180.2
April 6,136.1 6,190.5
May 6,125.3 6,179.4
June 6,136.5 6,187.3
July 6,133.4 6,183.4
August 6,129.8 6,182.0
September 6,139.1 6,199.3
October 6,153.3 6,208.1
November 6,162.2 6,215.1
December 6,161.7 6,214.5
2017 January 6,189.7 6,240.3
February 6,181.8 6,235.1
March 6,216.0 6,267.8
April 6,203.1 6,257.2
May 6,227.9 6,279.5
June 6,229.0 6,282.0
July 6,229.1 6,283.6
August 6,237.1 6,290.7
September 6,204.5 6,261.5
October 6,221.2 6,272.5
November 6,245.3 6,292.9
December 6,268.7 6,312.5
2018 January 6,276.6 6,316.4
February 6,295.9 6,333.5
March 6,280.3 6,316.7
April 6,291.2 6,328.7
May 6,262.8 6,306.8
June 6,283.1 6,323.4
July 6,281.6 6,322.7
August 6,269.2 6,314.0
September 6,298.7 6,341.9
October 6,314.2 6,358.7
November 6,340.2 6,379.9
December 6,339.5 6,379.3
2019 January 6,345.5 6,384.9
February 6,348.0 6,391.1
March 6,362.1 6,404.2
April 6,361.8 6,404.7
May 6,393.6 6,429.2
June 6,375.6 6,418.0
July 6,394.0 6,438.0
August 6,407.0 6,453.3
September 6,441.2 6,480.3
October 6,413.1 6,452.4
November 6,392.1 6,430.4
December 6,410.8 6,444.6
2020 January 6,407.8 6,447.8
February 6,423.9 6,462.7
March 6,294.3 6,335.1
April 5,649.0 5,689.4
May 5,742.8 5,784.0
June 6,050.3 6,107.2
July 6,132.8 6,180.8
August 6,189.8 6,245.3
September 6,248.4 6,306.1
October 6,277.2 6,331.2
November 6,296.0 6,354.0
December 6,285.8 6,340.9

Chart 8-C

Data table for Chart 8-C 
Data table for Chart 8-C
Table summary
This table displays the results of Data table for Chart 8-C Revised and Unrevised, calculated using thousands units of measure (appearing as column headers).
Revised Unrevised
thousands
2002 January 5,181.8 5,181.4
February 5,174.6 5,175.3
March 5,191.5 5,191.5
April 5,200.3 5,201.8
May 5,216.4 5,219.3
June 5,220.6 5,224.2
July 5,237.0 5,236.3
August 5,255.7 5,255.8
September 5,278.9 5,282.4
October 5,260.4 5,261.1
November 5,260.6 5,260.9
December 5,274.4 5,267.8
2003 January 5,256.2 5,256.4
February 5,265.2 5,266.6
March 5,267.7 5,266.8
April 5,254.9 5,255.6
May 5,257.6 5,260.4
June 5,280.3 5,281.7
July 5,305.0 5,304.8
August 5,317.0 5,317.2
September 5,302.1 5,303.6
October 5,336.3 5,336.3
November 5,327.9 5,328.1
December 5,343.5 5,339.9
2004 January 5,337.7 5,339.1
February 5,371.1 5,370.2
March 5,374.3 5,370.7
April 5,379.8 5,377.8
May 5,385.7 5,387.4
June 5,395.0 5,396.0
July 5,366.3 5,367.1
August 5,359.5 5,359.1
September 5,360.1 5,358.6
October 5,346.1 5,346.4
November 5,357.7 5,358.7
December 5,371.4 5,371.4
2005 January 5,382.2 5,383.9
February 5,381.6 5,382.7
March 5,377.3 5,372.2
April 5,374.3 5,371.2
May 5,358.9 5,361.4
June 5,374.0 5,375.0
July 5,376.3 5,377.4
August 5,373.5 5,373.2
September 5,379.3 5,376.9
October 5,384.4 5,385.1
November 5,404.7 5,405.9
December 5,383.7 5,386.2
2006 January 5,404.0 5,404.2
February 5,385.2 5,392.2
March 5,382.7 5,384.9
April 5,421.0 5,426.1
May 5,438.0 5,455.7
June 5,419.1 5,438.3
July 5,439.0 5,454.9
August 5,429.1 5,449.6
September 5,437.0 5,459.1
October 5,444.1 5,470.6
November 5,441.1 5,473.4
December 5,478.7 5,513.0
2007 January 5,491.9 5,527.5
February 5,486.0 5,525.8
March 5,517.6 5,552.4
April 5,501.3 5,543.8
May 5,504.9 5,549.9
June 5,514.8 5,556.1
July 5,525.9 5,563.3
August 5,534.8 5,570.0
September 5,544.2 5,574.4
October 5,561.4 5,592.7
November 5,547.0 5,579.2
December 5,531.7 5,563.6
2008 January 5,523.0 5,548.0
February 5,540.3 5,576.1
March 5,517.5 5,545.1
April 5,520.0 5,553.4
May 5,537.7 5,573.9
June 5,543.0 5,572.6
July 5,546.4 5,576.6
August 5,556.8 5,583.3
September 5,551.7 5,585.7
October 5,566.2 5,593.0
November 5,549.6 5,578.7
December 5,558.3 5,576.5
2009 January 5,522.4 5,545.2
February 5,526.7 5,556.1
March 5,530.6 5,553.3
April 5,522.2 5,547.0
May 5,502.9 5,527.7
June 5,489.2 5,514.1
July 5,474.8 5,504.5
August 5,477.0 5,514.7
September 5,507.2 5,548.8
October 5,499.2 5,538.0
November 5,537.9 5,577.0
December 5,522.1 5,551.0
2010 January 5,541.6 5,576.5
February 5,540.7 5,578.2
March 5,544.2 5,577.6
April 5,544.6 5,580.1
May 5,551.3 5,582.6
June 5,550.9 5,581.7
July 5,538.8 5,564.9
August 5,539.9 5,562.9
September 5,514.6 5,544.3
October 5,510.0 5,539.0
November 5,507.6 5,540.8
December 5,511.0 5,539.9
2011 January 5,545.6 5,571.1
February 5,549.6 5,577.8
March 5,555.0 5,585.0
April 5,559.9 5,588.6
May 5,551.1 5,579.9
June 5,566.9 5,596.6
July 5,572.7 5,602.4
August 5,583.3 5,612.4
September 5,583.7 5,612.8
October 5,571.1 5,596.7
November 5,560.6 5,584.0
December 5,576.2 5,600.8
2012 January 5,569.6 5,594.4
February 5,561.0 5,589.8
March 5,570.4 5,599.6
April 5,596.6 5,636.5
May 5,599.9 5,630.7
June 5,614.3 5,643.4
July 5,623.8 5,655.8
August 5,631.4 5,660.2
September 5,652.6 5,678.1
October 5,652.6 5,680.4
November 5,662.9 5,692.1
December 5,670.1 5,700.4
2013 January 5,654.7 5,688.3
February 5,654.3 5,686.6
March 5,632.3 5,663.4
April 5,639.5 5,677.3
May 5,655.1 5,689.4
June 5,654.3 5,691.2
July 5,656.5 5,693.8
August 5,664.8 5,700.1
September 5,651.5 5,683.7
October 5,657.4 5,687.7
November 5,652.2 5,681.8
December 5,644.1 5,666.7
2014 January 5,633.1 5,668.6
February 5,634.0 5,673.0
March 5,644.2 5,682.1
April 5,608.9 5,649.5
May 5,600.4 5,639.7
June 5,594.3 5,632.3
July 5,602.6 5,637.8
August 5,599.9 5,635.7
September 5,611.9 5,649.5
October 5,645.5 5,680.9
November 5,650.7 5,684.8
December 5,622.1 5,657.5
2015 January 5,626.5 5,667.7
February 5,637.5 5,676.0
March 5,626.7 5,671.6
April 5,636.1 5,679.4
May 5,641.2 5,684.5
June 5,642.4 5,687.6
July 5,650.7 5,691.6
August 5,642.4 5,685.5
September 5,633.7 5,684.0
October 5,606.5 5,657.7
November 5,616.1 5,673.2
December 5,619.1 5,682.1
2016 January 5,632.1 5,695.1
February 5,620.8 5,689.2
March 5,637.5 5,702.0
April 5,649.1 5,713.1
May 5,660.4 5,726.2
June 5,652.9 5,714.8
July 5,651.0 5,718.7
August 5,645.0 5,713.5
September 5,638.4 5,710.2
October 5,645.8 5,716.6
November 5,657.5 5,725.4
December 5,677.1 5,745.1
2017 January 5,712.1 5,780.4
February 5,717.4 5,787.1
March 5,721.1 5,792.8
April 5,710.0 5,784.4
May 5,716.3 5,789.5
June 5,730.3 5,805.4
July 5,719.1 5,794.6
August 5,727.6 5,804.4
September 5,730.5 5,807.7
October 5,737.8 5,816.7
November 5,719.6 5,798.2
December 5,735.1 5,810.9
2018 January 5,698.8 5,779.3
February 5,719.8 5,793.2
March 5,755.9 5,829.3
April 5,766.0 5,841.8
May 5,750.8 5,829.2
June 5,760.7 5,840.0
July 5,794.4 5,873.5
August 5,803.9 5,881.1
September 5,815.7 5,891.7
October 5,831.3 5,907.0
November 5,856.2 5,935.6
December 5,866.7 5,945.6
2019 January 5,873.3 5,950.4
February 5,893.2 5,962.1
March 5,858.7 5,921.9
April 5,883.3 5,943.9
May 5,897.3 5,954.3
June 5,895.6 5,950.9
July 5,881.2 5,936.6
August 5,887.9 5,941.8
September 5,916.4 5,968.7
October 5,908.3 5,961.6
November 5,905.0 5,957.5
December 5,912.8 5,960.7
2020 January 5,926.0 5,974.4
February 5,919.8 5,963.0
March 5,626.6 5,664.5
April 5,139.4 5,173.2
May 5,210.1 5,246.3
June 5,473.1 5,512.0
July 5,573.4 5,621.8
August 5,637.6 5,703.5
September 5,778.1 5,837.1
October 5,819.9 5,877.2
November 5,817.8 5,873.4
December 5,806.3 5,859.3

Chart 8-D

Data table for Chart 8-D 
Data table for Chart 8-D
Table summary
This table displays the results of Data table for Chart 8-D Revised and Unrevised, calculated using thousands units of measure (appearing as column headers).
Revised Unrevised
thousands
2002 January 1,676.4 1,679.3
February 1,686.7 1,689.3
March 1,699.7 1,694.8
April 1,718.0 1,716.5
May 1,730.2 1,730.3
June 1,748.3 1,752.4
July 1,755.6 1,762.3
August 1,784.2 1,786.8
September 1,792.0 1,790.5
October 1,813.5 1,815.0
November 1,847.5 1,846.4
December 1,871.5 1,869.2
2003 January 1,900.3 1,899.9
February 1,912.5 1,914.0
March 1,925.3 1,919.7
April 1,940.0 1,938.7
May 1,938.4 1,936.8
June 1,965.3 1,956.1
July 1,966.3 1,968.0
August 1,972.3 1,975.4
September 2,005.9 2,006.9
October 2,011.4 2,013.6
November 2,031.0 2,032.6
December 2,044.5 2,045.4
2004 January 2,046.3 2,042.2
February 2,063.8 2,066.2
March 2,050.7 2,046.8
April 2,065.0 2,064.1
May 2,074.8 2,071.8
June 2,052.6 2,047.9
July 2,082.6 2,079.8
August 2,087.9 2,090.9
September 2,117.1 2,120.3
October 2,128.4 2,129.0
November 2,154.4 2,157.6
December 2,150.1 2,154.4
2005 January 2,152.8 2,146.3
February 2,171.8 2,173.2
March 2,187.7 2,183.6
April 2,210.2 2,211.3
May 2,226.4 2,225.6
June 2,227.4 2,224.4
July 2,248.7 2,244.6
August 2,254.0 2,255.8
September 2,237.2 2,241.8
October 2,251.4 2,250.9
November 2,249.6 2,253.1
December 2,250.5 2,255.5
2006 January 2,252.3 2,257.4
February 2,267.9 2,282.2
March 2,280.0 2,297.4
April 2,277.3 2,304.7
May 2,297.4 2,322.2
June 2,318.3 2,342.9
July 2,317.9 2,344.3
August 2,317.7 2,348.6
September 2,327.8 2,364.0
October 2,328.1 2,360.1
November 2,357.5 2,399.1
December 2,363.8 2,406.2
2007 January 2,382.4 2,418.4
February 2,394.8 2,433.9
March 2,410.4 2,450.3
April 2,429.0 2,479.1
May 2,427.7 2,468.6
June 2,440.3 2,482.5
July 2,449.9 2,497.3
August 2,486.0 2,525.3
September 2,497.8 2,539.0
October 2,534.8 2,573.6
November 2,537.4 2,577.8
December 2,545.3 2,592.1
2008 January 2,577.5 2,616.5
February 2,583.4 2,622.6
March 2,590.4 2,634.0
April 2,578.8 2,630.4
May 2,593.5 2,639.2
June 2,593.0 2,636.8
July 2,596.1 2,643.2
August 2,590.3 2,630.7
September 2,618.6 2,664.5
October 2,641.9 2,690.3
November 2,614.0 2,648.4
December 2,642.9 2,674.2
2009 January 2,663.3 2,701.1
February 2,661.2 2,699.3
March 2,670.2 2,708.3
April 2,671.9 2,714.2
May 2,691.6 2,735.1
June 2,711.0 2,756.3
July 2,725.3 2,768.2
August 2,736.4 2,778.8
September 2,735.3 2,774.8
October 2,733.2 2,787.8
November 2,765.0 2,807.9
December 2,785.6 2,829.0
2010 January 2,770.0 2,824.5
February 2,794.2 2,849.0
March 2,803.8 2,853.4
April 2,824.2 2,873.1
May 2,840.8 2,888.8
June 2,860.9 2,911.9
July 2,891.4 2,933.5
August 2,900.5 2,949.3
September 2,935.2 2,983.1
October 2,947.8 2,999.4
November 2,968.4 3,011.3
December 2,968.2 3,004.7
2011 January 2,974.7 3,016.6
February 2,960.9 3,006.4
March 2,963.6 3,002.0
April 2,999.7 3,036.1
May 3,000.4 3,042.6
June 3,010.6 3,058.2
July 3,014.8 3,055.0
August 3,008.9 3,056.8
September 3,026.2 3,067.5
October 3,031.6 3,081.2
November 3,047.6 3,094.5
December 3,074.6 3,130.5
2012 January 3,066.8 3,123.9
February 3,088.7 3,143.9
March 3,132.8 3,186.7
April 3,152.8 3,203.7
May 3,151.5 3,206.9
June 3,156.4 3,208.6
July 3,161.7 3,197.9
August 3,188.4 3,239.6
September 3,190.5 3,244.8
October 3,208.8 3,261.1
November 3,204.5 3,259.8
December 3,198.7 3,268.6
2013 January 3,241.3 3,300.0
February 3,261.0 3,314.9
March 3,271.3 3,324.1
April 3,281.0 3,332.7
May 3,307.4 3,357.8
June 3,300.7 3,351.0
July 3,310.5 3,358.2
August 3,336.9 3,395.1
September 3,332.4 3,398.4
October 3,340.5 3,409.9
November 3,370.2 3,436.9
December 3,387.9 3,451.8
2014 January 3,400.0 3,451.4
February 3,415.5 3,466.2
March 3,395.4 3,451.4
April 3,429.4 3,489.7
May 3,423.0 3,483.9
June 3,463.9 3,523.2
July 3,475.2 3,526.4
August 3,441.5 3,500.7
September 3,438.5 3,504.6
October 3,426.6 3,497.5
November 3,421.8 3,490.8
December 3,409.0 3,479.3
2015 January 3,452.0 3,515.9
February 3,468.0 3,525.9
March 3,508.6 3,558.9
April 3,508.7 3,565.4
May 3,514.8 3,579.2
June 3,529.4 3,593.5
July 3,540.8 3,602.3
August 3,572.2 3,621.0
September 3,571.7 3,624.2
October 3,613.2 3,670.6
November 3,615.6 3,670.3
December 3,636.5 3,694.6
2016 January 3,621.8 3,679.4
February 3,647.1 3,701.4
March 3,659.3 3,711.4
April 3,645.8 3,701.8
May 3,688.3 3,740.7
June 3,680.6 3,733.1
July 3,687.5 3,747.9
August 3,714.1 3,766.8
September 3,752.8 3,804.9
October 3,753.1 3,807.5
November 3,738.3 3,791.6
December 3,740.3 3,787.4
2017 January 3,758.4 3,807.9
February 3,777.3 3,826.1
March 3,756.3 3,811.1
April 3,785.5 3,837.5
May 3,782.9 3,834.7
June 3,806.9 3,862.6
July 3,823.4 3,884.3
August 3,879.9 3,937.8
September 3,891.0 3,951.8
October 3,878.7 3,942.2
November 3,912.5 3,975.3
December 3,947.0 4,005.1
2018 January 3,924.4 3,990.6
February 3,915.7 3,981.3
March 3,930.2 3,985.8
April 3,918.1 3,981.1
May 3,946.6 4,006.9
June 3,948.5 4,010.2
July 3,968.1 4,026.9
August 3,923.1 3,987.6
September 3,948.0 4,008.1
October 3,963.2 4,023.7
November 4,008.2 4,063.4
December 4,005.5 4,071.4
2019 January 4,029.0 4,083.2
February 4,041.8 4,092.1
March 4,066.5 4,119.6
April 4,094.0 4,149.2
May 4,095.0 4,149.5
June 4,123.3 4,168.4
July 4,126.0 4,163.4
August 4,144.7 4,184.4
September 4,138.3 4,183.5
October 4,163.6 4,208.9
November 4,143.1 4,187.3
December 4,161.3 4,195.1
2020 January 4,184.5 4,205.6
February 4,185.3 4,210.8
March 4,027.2 4,018.7
April 3,643.3 3,641.9
May 3,736.1 3,734.3
June 3,843.8 3,835.5
July 3,933.3 3,935.2
August 3,967.4 3,979.8
September 4,010.7 4,036.3
October 4,031.0 4,052.7
November 4,051.2 4,075.7
December 4,060.8 4,066.8

3.3 Impact by province on labour market estimates

By 2020, the seasonally adjusted monthly employment estimates were on average revised upward for three provinces. British Columbia had the largest difference (+3.8%), followed by Prince Edward Island (+1.2%) and New Brunswick (+1.3%). There was virtually no difference for Newfoundland and Labrador or Manitoba, compared with the unrevised estimates.

Revised employment estimates were lower for five provinces, with Alberta having the largest gap between the revised and unrevised estimates on average in 2020 (-2.1%). Saskatchewan followed with a difference of -1.4%, then Nova Scotia (-1.1%), Quebec (-1.0%), and Ontario (-0.8%).

4.0 Impact on the 2020 labour market trends (COVID-19)

In 2020 the Canadian labour market dramatically changed as a direct result of COVID-19. The rebasing of LFS data has minimal impact on LFS trends for estimates of employment and unemployment for the period from January to December 2020 (Charts 9-A, 9-B and 9-C).

While monthly seasonally adjusted estimates of employment were revised downward by an average of 0.3% over 2020, month-to-month changes in employment (seasonally adjusted) using revised estimates are virtually identical to the originally published estimates (Chart 9-B). For example, the largest monthly employment change published in 2020 was a decline in April of 1,994,000 (-11.0%). With the revised estimates, that decline is 1,992,000 (-11.0%)—a difference of 1,600 from the originally published estimate. The largest difference between revised and unrevised estimates was observed for the month of August: the originally published estimate was an increase of 246,000 (+1.4%) and this monthly change has been revised to 214,000 (+1.2%).

The cumulative employment gains from the employment low point in April to December was originally published as 2,368,000 (+14.6%). Using revised data, this change is 2,343,000 (+14.5%).

Chart 9-A

Data table for Chart 9-A 
Data table for Chart 9-A
Table summary
This table displays the results of Data table for Chart 9-A Revised and Unrevised, calculated using thousands units of measure (appearing as column headers).
Revised Unrevised
thousands
2020 January 19,106.1 19,159.1
February 19,130.3 19,189.4
March 18,133.8 18,178.7
April 16,141.6 16,184.9
May 16,444.0 16,474.5
June 17,385.7 17,427.4
July 17,802.6 17,845.9
August 18,016.3 18,091.7
September 18,388.5 18,469.9
October 18,482.9 18,553.5
November 18,537.5 18,615.6
December 18,484.8 18,553.0

Chart 9-B

Data table for Chart 9-B 
Data table for Chart 9-B
Table summary
This table displays the results of Data table for Chart 9-B Revised and Unrevised, calculated using thousands units of measure (appearing as column headers).
Revised Unrevised
thousands
2020 January 31.8 34.5
February 24.2 30.3
March -996.5 -1,010.7
April -1,992.2 -1,993.8
May 302.4 289.6
June 941.7 952.9
July 416.9 418.5
August 213.7 245.8
September 372.2 378.2
October 94.4 83.6
November 54.6 62.1
December -52.7 -62.6

The revised monthly seasonally adjusted unemployment rate was little changed throughout 2020, compared with the originally published estimates (Chart 9-C). In about half of the months in 2020, the unemployment rate was revised upward by 0.1 percentage points as a result of LFS rebasing. A maximum upward revision of 0.2 percentage points was observed for June, September and December 2020. The unemployment rate in May 2020 was the highest on record at 13.7% and remained unchanged after the revision.

Chart 9-C

Data table for Chart 9-C 
Data table for Chart 9-C
Table summary
This table displays the results of Data table for Chart 9-C Revised and Unrevised, calculated using percent units of measure (appearing as column headers).
Revised Unrevised
percent
2020 January 5.6 5.5
February 5.7 5.6
March 7.9 7.8
April 13.1 13.0
May 13.7 13.7
June 12.5 12.3
July 10.9 10.9
August 10.2 10.2
September 9.2 9.0
October 9.0 8.9
November 8.6 8.5
December 8.8 8.6

5.0 The territories

Population control totals for Yukon, the Northwest Territories and Nunavut were revised back to 2006. For both Yukon and the Northwest Territories, population control totals were largely unchanged from 2006 to 2011, then revised upward through 2020. A change was made to the calibration methodology for the Northwest Territories, with estimates calibrated separately for Yellowknife and the rest of the territory. In Nunavut, rebased population control totals were unchanged from 2006 to 2011 and were lower than the previous estimates through 2019.

The revisions to population control totals had little impact on the labour market indicators. For 2020, the annual average revised employment estimates were higher for Yukon (+1,500; +7.4%), and the Northwest Territories (+1,200; +5.9%), and lower in Nunavut (-900; -6.9%).

Unemployment levels for 2020 were little changed between the revised and unrevised estimates for the three territories. The revised annual average unemployment rate for the Northwest Territories was 8.5%, 0.1 percentage points lower; while it was 14.3% for Nunavut (+0.3 percentage points) and 5.2% for Yukon (unchanged), compared with the originally published rate for 2020.

6.0 Estimates for the Indigenous population

The weights applied to the Indigenous working-age population were also updated to reflect population changes.

The revised LFS working-age population estimate for the Indigenous population in 2020 was 11.4% higher (+118,000) than the unrevised estimate. Revised population estimates were higher than the unrevised estimates for the three Indigenous groups: First Nations, Métis and Inuit. Revised Indigenous population control totals were higher than unrevised in all provinces; led by the Atlantic provinces (+29,000; +39.6%), Quebec (+25,000; +22.5%), Ontario (+23,000; +8.6%) and British Columbia (+18,000; +10.0%).

There was no difference between the revised and unrevised unemployment rates for the Indigenous population at the national level (remained 14.2% in 2020). Revised participation and employment rates were lower than the unrevised rates in most provinces, with the exception of British Columbia and Quebec.

Definitions in published tables and documentation were also updated to refer to Indigenous identity rather than Aboriginal group or Aboriginal Status.

7.0 Geographic boundary changes

Changes to the Standard Geographical Classification (SGC) introduced in conjunction with the 2016 Census resulted in the modification of boundaries for some of the sub-provincial areas such as census metropolitan areas (CMA), economic regions (ER), and census agglomerations (CA).

All LFS data tables for sub-provincial areas have been revised back to 2006, to reflect 2016 Census boundaries. A concordance table for the new and old tables published on the website is available in Table B-1 of Appendix B.

7.1 Census metropolitan areas (CMAs)

Two new CMAs were added to the census geography in 2016: Lethbridge, Alberta; and Belleville, Ontario. As well, 11 existing CMAs had boundary modifications between the 2011 SGC and the 2016 SGC. These are: Moncton and Saint John (New Brunswick); Saguenay, Québec, Montréal and Ottawa-Gatineau (Quebec part) (Quebec); Ottawa-Gatineau (Ontario part) Kitchener-Cambridge-Waterloo and Greater Sudbury (Ontario); and Regina and Saskatoon (Saskatchewan).

The most significant change to the existing CMA boundaries is that the Montréal CMA has annexed the Saint-Jean-sur-Richelieu CA. Among the CMAs with boundary changes, the largest increase between the revised and unrevised population control totals on average for 2020 was observed in Kitchener-Cambridge-Waterloo (+8.0%). The boundaries of the Kitchener CMA changed between the 2011 and 2016 censuses to include the census subdivision (CSD) of Wilmot. There were also notable increases for Greater Sudbury (+3.1%), and Saguenay (+2.1%), while the largest decline was in Saskatoon (-4.4%). The other CMAs had population changes of less than 2.0% for the same time period. The boundaries of most CMAs tend to increase over time as a result of urban growth. Estimates published for CMAs are three-month moving averages, and the population control totals and boundaries were revised back to 2006; therefore, the new series begins in March 2006.

7.2 Census agglomerations (CAs)

The changes to the 2016 SGC had a minor impact on CAs published by the LFS. Most CAs will continue to be published with updated Census 2016 boundaries; however, Saint-Jean-sur-Richelieu, Quebec and Lethbridge, Alberta will no longer be published as CAs. As noted in Section 7.1, Saint-Jean-sur-Richelieu has been annexed to the Montréal CMA, and Lethbridge has become a CMA.

7.3 Economic regions (ERs)

As a result of the move to the 2016 SGC, there were small boundary changes for two ERs: South Central and Southeast in Manitoba. South Central has been combined with North Central for publication since the previous revision because of the small population size of the economic region.

8.0 Industry and occupation classification update

Consistent with the standard practice of adopting the most recent industry and occupation classification structures when data are rebased, LFS historical series have been revised to the North American Industry Classification System (NAICS) Canada 2017 V3.0 and National Occupation Classification (NOC) 2016 V1.3. LFS was previously using industry classification NAICS 2012 and occupational classification NOC 2016 V1.0.

8.1 Industry classification

For data from 1987 onwards, the LFS has been revised to the NAICS Canada 2017 Version 3.0 from the 2012 NAICS. The NAICS has been developed by the statistical agencies of Canada, Mexico and the United States as a standard industry classification.

Differences between NAICS 2012 and NAICS 2017 classifications are observed only at the detailed level and will have no impact on published LFS tables. Differences in 4-digit NAICS codes will be observed in LFS microdata for new cannabis-related industries and the other information services industries, including Internet publishing, and wired and wireless telecommunications carriers.

A correction has also been applied to the industry classification for those working in the “Other wood product manufacturing” (NAICS 3219) and “Household and institutional furniture and kitchen cabinet manufacturing industries” (NAICS 3371). A subset of cases in these industries were recoded to resolve an inconsistency in the series resulting from the NAICS 2012 update introduced in January 2015.

8.2 Occupation classification

The LFS historical series, starting in 1987, have been revised from National Occupation Classification (NOC) 2016 V1.0 to NOC 2016 V1.3. Differences between the two versions of the classification were minor; there were no changes to the NOC codes; only to some of the descriptions.

9.0 Family variables and same-sex couples

Changes have been introduced to LFS microdata back to 2006, to reflect updated rules used in the derivation of some family-type variables, largely related to same-sex couples. As a result of these changes, table 14-10-0119-01 (Labour force characteristics by family age composition, monthly, unadjusted for seasonality), and table 14-10-0120-01 (Labour force characteristics by family age composition, annual) have been discontinued starting in January 2021. New family composition tables will be developed and released in spring 2021 to better align with the updated concepts and improve the relevance of the data for all users. Users interested in family composition tables in the interim should contact us (toll-free 1-800-263-1136; 514-283-8300; STATCAN.infostats-infostats.STATCAN@canada.ca) for custom tabulations.

9.1 Economic family type

Starting with the 2006 data, the “husband-wife” category has been removed from economic family type variables. The following table shows a concordance between the unrevised and revised economic family types.



Table 1
Revised economic family type categories
Table summary
This table displays the results of Table 1 Revised economic family type categories. The information is grouped by Unrevised (before 2006) (appearing as row headers), Revised (starting in 2006) (appearing as column headers).
Unrevised (before 2006) Revised (starting in 2006)
Unattached individual Person not in an economic family
Husband-wife, dual earner couple, no children or none under 25 Dual-earner couple, no children or none under 25
Husband-wife, dual earner couple, youngest child 0 to 17 Dual-earner couple, youngest child 0 to 17
Husband-wife, dual earner couple, youngest child 18 to 24 Dual-earner couple, youngest child 18 to 24
Husband-wife, single earner couple, husband employed, no children or none under 25 Single-earner couple, male employed, no children or none under 25
Husband-wife, single earner couple, husband employed, youngest child 0 to 17 Single-earner couple, male employed, youngest child 0 to 17
Husband-wife, single earner couple, husband employed, youngest child 18 to 24 Single-earner couple, male employed, youngest child 18 to 24
Husband-wife, single earner couple, wife employed, no children or none under 25 Single-earner couple, female employed, no children or none under 25
Husband-wife, single earner couple, wife employed, youngest child 0 to 17 Single-earner couple, female employed, youngest child 0 to 17
Husband-wife, single earner couple, wife employed, youngest child 18 to 24 Single-earner couple, female employed, youngest child 18 to 24
Husband-wife, non-earner couple, no children or none under 25 Non-earner couple, no children or none under 25
Husband-wife, non-earner couple, youngest child 0 to 17 Non-earner couple, youngest child 0 to 17
Husband-wife, non-earner couple, youngest child 18 to 24 Non-earner couple, youngest child 18 to 24
Single-parent family, parent employed, youngest child 0 to 17 Lone-parent family, parent employed, youngest child 0 to 17
Single-parent family, parent employed, youngest child 18 to 24 Lone-parent family, parent employed, youngest child 18 to 24
Single-parent family, parent not employed, youngest child 0 to 17 Lone-parent family, parent not employed, youngest child 0 to 17
Single-parent family, parent not employed, youngest child 18 to 24 Lone-parent family, parent not employed, youngest child 18 to 24
Other families Other families

9.2 Parent variables

LFS microdata files include variables that describe the labour force status, highest level of education, industry and occupation of parents.

Microdata have been revised back to 2006, so that the variable “parent 1” refers to the male parent in an opposite-sex couple; the reference person in a household with two male parents; and the spouse in a household with two female parents. Similarly, the variable “parent 2” refers to the female parent in an opposite-sex couple; the reference person in a household with two female parents; and the spouse in a household with two male parents. Variables that previously referred to the “father” and the “mother” have been discontinued in microdata beginning in 2006. The following table illustrates the change:



Table 2
Revised parent variables
Table summary
This table displays the results of Revised parent variables Unrevised (before 2006) and Revised (starting in 2006) (appearing as column headers).
Unrevised (before 2006) Revised (starting in 2006)
Variable (prefix) Father (DAD) Mother (MOM) Parent 1 (PT1) Parent 2 (PT2)
Opposite-sex couple Male parent Female parent Male parent Female parent
Male-male couple Reference person BLANK Reference person Spouse
Female-female couple BLANK Reference person Spouse Reference person

9.3 Marital status

LFS data have been revised, back to 2006, to reflect the marital status reported by respondents. Prior to this change, for the period from 2006 to 2018, the marital status of a same-sex couples who reported being “married” was changed to “common-law” during LFS data processing. This change increases the number of respondents who are married by less than 1%.

Appendix A: Component changes in the population rebasing

The target or sampled population for the LFS includes the population aged 15 and over, and excludes people belonging to the following categories: population living on reserves, institutional residents, Canadians living abroad and full-time members of the Canadian Armed Forces.

The components of demographic growth include births, deaths, immigration, emigration, interprovincial migration, and non-permanent residents (NPRs). The component method of producing population estimates involves the monthly addition and subtraction of components of demographic growth from a base population. LFS rebasing involves adopting a base population based on the 2016 Census rather than the 2011 Census.

Differences between 2011-based LFS population control totals (unrevised series) and 2016-based totals (revised series) can be attributed to a series of changes introduced over three distinct periods: 1) 2006 to 2011, 2) 2011 to 2016 and, 3) 2016 to 2019.

The 2006 to 2011 period

From 2006 to 2011, differences between the unrevised and revised series are small for all provinces and territories. They mainly result from minor methodological improvements retrospectively performed to some components of the demographic growth.

The 2011 to 2016 period

The differences between the 2011-based and 2016-based population totals come from three main factors.

First, and most importantly, LFS population control totals for this period are based for the first time on the series of Statistics Canada population estimates introduced following the 2016 Census (released in September 2018).

Second, the methodology used to estimate stocks of NPRs for the revised series slightly differs from the unrevised series. NPR stocks from the revised series are linearly interpolated between the July 1 stocks surrounding the reference dates. NPR stocks of the unrevised series are calculated based on a 12-month moving average. As NPR data from 2011 to 2014 were available when the unrevised series was created, the moving average was centered on the reference month. However, the 2015 data of the unrevised series are based on a moving average of the 12 months preceding the reference month. As NPR stocks were slightly lower in 2015 when compared to 2014, the 2015 stocks of NPRs are lower for the revised series.

Third, differences observed between the two series also come from the revisions performed to the estimates of the populations excluded from the LFS universe. This is particularly true for the estimates of the institutional population and of the on-reserve population which are derived from the 2016 Census for the revised series and on the 2011 Census for the unrevised series.

The 2016 to 2019 period

As was the case for the previous period, differences between the revised and unrevised series mainly come from the revisions to the demographic estimates and the different methodologies used to estimate stocks of NPR. Adding to the impact of the 2016 Census rebasing, differences for the 2016 to 2019 period are also impacted by the timeliness of the demographic estimates. While the unrevised series involves the use of preliminary estimates of the components, the revised series, because it is calculated at a later time, was based on updated information. As the series approaches the most recent reference dates, the differences decrease as the information becomes more similar.

The fact that the two series are not calculated at the same time also impacted the estimation of the NPR stocks, especially in the context of the NPR stock strongly increasing since 2016. While the linear interpolation used for the revised series immediately took into account the increase, the method used (a moving average calculated from the 12 months preceding the reference date) for the unrevised series took the increase in a shifted fashion. For that reason, estimates of NPR stocks of the revised series are larger for the whole 2016 to 2019 period.

Extent of revisions according to provinces and territories

Differences between the two series are not the same from one province or territory from another.

From 2011 to 2016, the extent of the revision was slightly larger in Alberta, British Columbia and in the territories. The rebasing of the demographic estimates (errors of closure) and the revisions performed to NPR stocks explain the larger gap observed in Alberta. In British Columbia, the larger gap is mainly explained by the demographic estimates rebasing. In addition to the above mentioned factors, revisions performed to the excluded populations explain the differences observed in the territories.

From 2016 to 2019, differences between the revised and unrevised series tend to become larger in British Columbia, Yukon and Nunavut. In British Columbia and Yukon, the impacts of the revisions performed to the NPR stocks are adding to those of the 2011 to 2016 period. In Nunavut, revisions performed to the estimates of interprovincial migration mainly explain the observed differences.

Impact of revisions on the age and sex structure

Differences between the revised and unrevised series fluctuate according to age and sex.

Differences are somewhat larger for the population aged 15 to 24. They can be explained in two ways. First, the impact of the rebasing of the demographic estimates (errors of closure) is usually larger for adults in their twenties. Also, the combined impact of the marked increase in NPR stocks and differences in estimation methods (interpolation and 12-month moving average) are more important for the youth population because NPRs comprise a greater share of this group. As a result, the NPR stocks of the revised series are higher than those of the unrevised series.

Appendix B: Concordance between previous and new data tables for sub-provincial regions


Table B-1
Concordance between previous and new data tables for sub-provincial regions
Table summary
This table displays the results of Concordance between previous and new data tables for sub-provincial regions. The information is grouped by Previous table number (appearing as row headers), New table number and Table title (appearing as column headers).
Previous table number New table number Table title
14100090 14100393 Labour force characteristics by province, territory and economic region, annual
14100091 14100388 Employment by industry, three-month moving average, unadjusted for seasonality, provinces and economic regions
14100092 14100392 Employment by industry, annual, provinces and economic regions
14100095 14100378 Labour force characteristics by census metropolitan area, three-month moving average, unadjusted for seasonality
14100096 14100385 Labour force characteristics by census metropolitan area, annual
14100097 14100379 Employment by industry, three-month moving average, unadjusted for seasonality, census metropolitan areas
14100098 14100384 Employment by industry, annual, census metropolitan areas
14100102 14100391 Labour force characteristics by census agglomeration, annual
14100105 14100374 Employment and unemployment rate, monthly, unadjusted for seasonality, population centres and rural areas
14100106 14100375 Employment and unemployment rate, annual, population centres and rural areas
14100107 14100376 Employment by class of worker and industry, monthly, unadjusted for seasonality, population centres and rural areas
14100108 14100377 Employment by class of worker and industry, annual, population centres and rural areas
14100190 14100390 Work absence of full-time employees by geography, annual
14100293 14100387 Labour force characteristics by economic region, three-month moving average, unadjusted for seasonality, last 5 months
14100294 14100380 Labour force characteristics by census metropolitan area, three-month moving average, seasonally adjusted and unadjusted, last 5 months
14100295 14100383 Labour force characteristics by Montréal, Toronto and Vancouver census metropolitan areas, seasonally adjusted and unadjusted, last 5 months
14100311 14100386 Employment by economic regions and occupation, three-month moving average, unadjusted for seasonality
14100312 14100389 Employment by economic regions and occupation, annual
14100313 14100381 Employment by census metropolitan areas and occupation, three-month moving average, unadjusted for seasonality
14100314 14100382 Employment by census metropolitan areas and occupation, annual
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