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COVID-19: Second Wave Brings Uncertainty on Household Debt

November 10, 2020

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The COVID-19 pandemic has changed the household debt picture, at least for the time being. The debt-to-income ratio is a key indicator of debt as a vulnerability of the financial and housing sectors.

The household debt-to-income ratio decreased in all major Canadian metropolitan areas between April and June. Under normal circumstances, such a decline would signal a general improvement in households’ ability to pay off debt. Indeed, temporary government transfers effectively supported income losses. This most likely helped with reducing outstanding non-mortgage debt during those months. However, the mortgage part of household debt has increased in most metropolitan areas while employment has contracted.

Since entering the second wave, there has been great uncertainty regarding households’ ability to continue servicing their growing mortgage debt. It is crucial to study the dynamics of household debt, income and savings in Canada. This will allow for the assessment of the potential risk of rising delinquencies on mortgages and other credit products,

Key Findings in Canada

  • Q2 household debt is 17% down from the Q1 at 158% of disposable income
  • debt-to-income ratio had not significantly deviated from 175% since 2016 (see figure 1)
  • debt-to-income ratio for mortgage debt was also down, falling from 115% to 105%
  • debt-to-income ratio decline was a direct result of an increase in household disposable income (the level of outstanding debt was largely unchanged)
  • on average, disposable income grew by nearly 11% between the Q1 and Q2 of 2020 and by 15% year over year (this important income surge reduced the household debt-to-income ratio to a level last seen in 2010)

Household debt well supported by a temporary income surge

Figure 1 — Canadian debt-to-income ratio declined to levels not seen since 2010

Sources: Statistics Canada, CMHC calculations.

Text Version

Canada: Household debt-to-disposable income ratio (%, SA, 1990 – 2020)
Reference period Total debt Mortgage debt
Q1 1990 86.85 56.42
Q1 1991 88.76 58.44
Q1 1992 93.05 62.38
Q1 1993 93.18 63.56
Q1 1994 95.43 65.06
Q1 1995 97.69 66.53
Q1 1996 99.97 67.08
Q1 1997 102.98 68.09
Q1 1998 106.19 68.78
Q1 1999 107.69 68.81
Q1 2000 109.73 68.93
Q1 2001 106.07 65.57
Q1 2002 109.81 67.85
Q1 2003 113.18 70.02
Q1 2004 120.88 74.16
Q1 2005 130.39 79.01
Q1 2006 133.4 81.33
Q1 2007 138.38 84.33
Q1 2008 148.99 91.65
Q1 2009 155.49 95.91
Q1 2010 157.34 97.43
Q1 2011 161.27 100.68
Q1 2012 163.43 103.65
Q1 2013 163.31 104.17
Q1 2014 165.24 106.06
Q1 2015 164.58 106.22
Q1 2016 175.76 114.38
Q1 2017 178.52 116.76
Q1 2018 176.73 115.52
Q1 2019 176.7 115.07
Q1 2020 175.37 115.08

The boost in disposable income can be explained by the government’s assistance programs that supplemented Canadian’s incomes during the quarter. The Canada Emergency Response Benefit program contributed to an increase of approximately $50 billion1 in household income by June 30th. This equals roughly 13% of households’ primary income during the same period. In fact, households’ primary income decreased by a seasonally adjusted 7.4% in Q2 of 2020 (relative Q1). This was before accounting for all the current transfers received from the government, corporations and non-profit institutions

We can suppose the Canadian debt-to-income ratio would have seen a slight increase without the COVID-19-related income support.

Household debt-to-income in major CMAs: different versions of the same story

The situation in metropolitan areas mirrors that at the national level. The debt-to-income ratios in all major census metropolitan areas were significantly lower in Q2 of 2020. This is compared to the same period in previous years and for both mortgage and non-mortgage debt (see figure 2).

Key Findings in Census Metropolitan Areas

  • Compared to Q1 of 2020, the debt-to-income ratios saw the largest declines in Vancouver, Victoria, Regina and Montreal. All 3 cities were all down by over 20 percentage points. These markets were also among the ones exhibiting high disposable income growth in Q2 (see figure 3).
  • Calgary and Edmonton had the smallest declines in their debt-to-income ratios among all major census metropolitan areas. This was true for both mortgage and non-mortgage debt.
  • In Alberta, low oil prices and the COVID-19 lockdown reduced the average household primary income by over 7% from April to June. This is excluding government transfers.
  • Despite these generalized declines in debt relative to income, Vancouver and Toronto’s debt-to-income ratios, at 210% and 203%, respectively, remained way above the Canadian average of 158%. These differences were almost entirely due to the elevated mortgage debt. The mortgage debt-to-income ratios stood at over 140% in Vancouver and Toronto. These levels were materially higher than the Canadian average of 105%. Moreover, these large mortgage markets continued to see growth in mortgage debt in the second quarter.

Figure 2 — All major CMAs observed meaningful declines in debt-to-income ratios in the second quarter of 2020

Sources: Equifax, Statistics Canada, Conference Board of Canada, CMHC calculations.

Text Version

Figure 2 — All major CMAs observed meaningful declines in debt-to-income ratios in the second quarter of 2020

Mortgage — Household debt-to-income ratio (%)
  2017 Q2 2018 Q2 2019 Q2 2020 Q2
Calgary 130.47 127.00 120.98 112.55
Canada 115.54 115.25 114.30 105.31
Edmonton 113.89 110.34 111.12 105.06
Halifax 100.41 97.23 92.21 82.22
Hamilton 116.92 121.65 122.06 112.88
Montréal 109.48 107.08 106.31 95.15
Ottawa-Gatineau 108.41 102.69 100.23 90.03
Québec 88.22 85.81 85.68 77.58
Regina 115.64 120.70 114.91 100.42
Saskatoon 107.37 112.97 107.81 91.60
Toronto 145.23 149.06 148.24 141.05
Vancouver 170.59 174.72 168.17 152.84
Victoria 124.41 128.68 125.71 109.61
Winnipeg 90.86 90.52 89.11 77.91
Non-mortgage — Household debt-to-income ratio (%)
  2017 Q2 2018 Q2 2019 Q2 2020 Q2
Calgary 61.40 62.52 61.25 55.95
Canada 61.32 61.66 61.20 52.89
Edmonton 61.66 61.72 62.94 57.86
Halifax 69.51 66.94 63.98 54.25
Hamilton 60.28 63.30 63.97 54.16
Montréal 56.24 56.58 55.14 45.77
Ottawa-Gatineau 56.90 56.27 55.93 46.84
Québec 52.63 52.31 51.74 43.85
Regina 56.23 58.00 55.60 47.85
Saskatoon 57.72 58.64 56.69 47.32
Toronto 65.52 68.71 69.61 61.48
Vancouver 65.40 68.46 66.75 57.25
Victoria 52.32 52.40 51.32 41.76
Winnipeg 50.31 49.83 48.18 39.56

Figure 3 — Higher income increases drive DTI ratios down (2020Q1 – 2020Q2)

Note: The size of the bubbles represents the number of credit consumers. Green bubbles represent CMAs with the largest declines in DTI ratios. Sources: Equifax, Statistics Canada, CMHC calculations.

Text Version

Figure 3 — Higher income increases drive DTI ratios down (2020 Q1 – 2020 Q2)

  Disposable income growth (2020 Q1 – 2020 Q2) Change in debt-to-income ratio (percentage points)
Calgary 7% -13.62
Edmonton 8% -14.19
Halifax 13% -18.26
Hamilton 11% -17.44
Montréal 14% -20.10
Ottawa-Gatineau 12% -17.56
Québec 13% -15.86
Regina 13% -20.54
Saskatoon 12% -19.16
Toronto 9% -16.35
Vancouver 12% -24.37
Victoria 14% -21.02
Winnipeg 13% -16.41

Excess household savings offer a sizable financial buffer, while uncertainty remains

This temporary increase in income has allowed households to build up their savings. Because of a cutback in spending, the household net savings rate jumped to 28.2% (figure 4). To put this number in context, the average savings rate is 3.7% since the global financial crisis. Households across Canada saved close to $100 billion during Q2 of 2020,2 around 10 times the pre-COVID-19 level. The excess savings resulting from government transfers and less spending could provide households a sizable financial buffer going into Q3.

Figure 4 — Household net savings saw a spike in the second quarter because of an increase in income and a cutback in spending

Source: Statistics Canada.

Text Version

Figure 4 — Household net savings saw a spike in the second quarter because of an increase in income and a cutback in spending

Household income and expenditure ($B)
  Primary household income less current transfers paid (LS) Government transfers (LS) All other transfers (LS) Household saving rate (%, RS) Less: Household final consumption expenditure (LS) Less: Change in pension entitlements (LS)
Q1 2000 431 98 35 4.6 -575.54 -37.58
Q3 2000 455 95 37 4.7 -595.83 -37.23
Q1 2001 469 104 42 6.5 -606.38 -31.97
Q3 2001 473 101 45 4.8 -616.47 -27.38
Q1 2002 489 104 42 5.2 -634.58 -33.05
Q3 2002 500 105 43 2.7 -656.67 -26.82
Q1 2003 511 107 45 2.5 -672.94 -26.18
Q3 2003 509 109 44 1.2 -687.10 -33.42
Q1 2004 520 111 47 1.8 -700.76 -34.89
Q3 2004 542 112 49 2.6 -717.07 -33.03
Q1 2005 542 113 49 0.4 -738.36 -36.99
Q3 2005 559 118 48 2.1 -757.54 -48.11
Q1 2006 574 131 56 3.1 -779.14 -42.48
Q3 2006 599 126 57 2.8 -799.50 -40.40
Q1 2007 625 128 59 4.5 -821.21 -45.70
Q3 2007 616 138 61 1.3 -846.58 -42.75
Q1 2008 636 148 60 2.5 -873.30 -50.36
Q3 2008 670 142 62 3.1 -888.47 -41.09
Q1 2009 658 148 64 4.6 -866.32 -36.30
Q3 2009 669 157 65 4.8 -886.43 -38.49
Q1 2010 699 158 69 5.4 -911.51 -36.36
Q3 2010 697 160 71 3.8 -930.73 -37.65
Q1 2011 718 162 71 4.5 -952.56 -45.13
Q3 2011 726 164 73 4.3 -970.66 -49.12
Q1 2012 744 168 78 4.7 -989.67 -46.91
Q3 2012 761 168 79 5.4 -1000.46 -47.80
Q1 2013 780 174 82 5.8 -1021.02 -44.56
Q3 2013 790 176 82 4.8 -1044.83 -46.68
Q1 2014 804 176 87 4.3 -1065.68 -43.62
Q3 2014 823 180 88 3.8 -1093.19 -43.60
Q1 2015 842 189 92 5.6 -1105.26 -44.20
Q3 2015 844 193 99 4.1 -1129.57 -41.65
Q1 2016 813 196 102 0.9 -1141.18 -40.89
Q3 2016 829 205 106 2.3 -1156.13 -42.98
Q1 2017 837 210 107 0.7 -1187.04 -41.48
Q3 2017 884 214 107 3.1 -1212.88 -44.66
Q1 2018 894 217 109 2 -1241.28 -45.40
Q3 2018 900 223 113 1.3 -1262.96 -43.28
Q1 2019 921 229 115 2.3 -1279.84 -43.23
Q3 2019 947 231 117 3 -1301.22 -45.97
Q1 2020 953 254 123 7.6 -1274.72 -45.72

The higher savings rate could be a sign of increasing concerns among households about the economic recovery and income prospects. Part of the reduced spending is due to consumers’ inability to spend, for example, business closures and mobility restrictions. This is especially the case for expenditure on services. This historically high savings rate is also a result of consumers’ unwillingness to spend as a response to future uncertainties. Restrictions will wear off once the epidemiological situation gets better , whereas uncertainty will likely to linger for longer and dampen consumer demand in the longer term.

As of Q2, we have not yet seen a drastic change in household debt levels. However, with increasing uncertainties, the lack of demand could affect the speed of economic recovery and hence change the household debt and income picture over the coming months.

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Footnotes

  • The total dollar value of CERB benefits paid is reported by the Government of Canada
  • Source: Table: 36-10-0112-01, Statistics Canada.

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