Concordance
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The first step in building a distributional dimension for the household sector is to identify the relevant survey variables and concord them to macroeconomic classifications. The full detail in the NBSA comprises 102 categories and sub-categories containing all assets, liabilities and net worth across all sectors in the economy. For the DHEA estimates, this classification has been reduced to 11 categories relevant to the household sector for which quality information can be produced.
The concordance between survey and NBSA variables is shown in the table below.
| Category | SFS Variables | NBSA Variables |
|---|---|---|
| Total assets |
|
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| Financial assets |
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| Life insurance and pensions |
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| Other financial assets |
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| Non-financial assets |
|
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| Real estate |
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| Other non-financial assets |
|
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| Total liabilities |
|
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| Mortgage liabilities |
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| Other liabilities |
|
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| Net worth |
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|
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Source: Distributions of Household Economic Accounts, 2026. |
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The concordance process also identifies conceptual differences between survey and macroeconomic data and helps to assess the suitability of specific survey variables as distributors of macro components. Assets, liabilities and net worth for the concorded categories are compared for the SFS and the NBSA below in the table below. Coverage ratios are presented as the ratio of the survey estimate to the macroeconomic aggregate. As can be seen from the tables, the SFS and NBSA totals align very well, with the exception of two cases, explained in further detail below.
| 2023 | |||
|---|---|---|---|
| Total assets | 19139262 | 19344604 | 98.9 |
| Financial assets | 8661679 | 9558493 | 90.6 |
| Life insurance and pensions | 2568808 | 2879710 | 89.2 |
| Other financial assets | 6092871 | 6678783 | 91.2 |
| Non-financial assets | 10477584 | 9786111 | 107.1 |
| Real estate | 9079158 | 8829920 | 102.8 |
| Other non-financial assets | 1398426 | 956191 | 146.2 |
| Total liabilities | 2435538 | 2938629 | 82.9 |
| Mortgage liabilities | 2010296 | 2164211 | 92.9 |
| Other liabilities | 425243 | 774418 | 54.9 |
| Net worth (wealth) | 16703724 | 16405975 | 101.8 |
| 2019 | |||
| Total assets | 13539526 | 14765757 | 91.7 |
| Financial assets | 6633447 | 7974728 | 83.2 |
| Life insurance and pensions | 2502568 | 2789306 | 89.7 |
| Other financial assets | 4130879 | 5185422 | 79.7 |
| Non-financial assets | 6906078 | 6791029 | 101.7 |
| Real estate | 6228903 | 6011310 | 103.6 |
| Other non-financial assets | 677176 | 779719 | 86.8 |
| Total liabilities | 1842948 | 2427200 | 75.9 |
| Mortgage liabilities | 1484950 | 1676074 | 88.6 |
| Other liabilities | 357998 | 751126 | 47.7 |
| Net worth (wealth) | 11696577 | 12338557 | 94.8 |
| 2016 | |||
| Total assets | 11993292 | 12691376 | 94.5 |
| Financial assets | 5890239 | 6713682 | 87.7 |
| Life insurance and pensions | 2322086 | 2404167 | 96.6 |
| Other financial assets | 3568153 | 4309515 | 82.8 |
| Non-financial assets | 6103053 | 5977694 | 102.1 |
| Real estate | 5501560 | 5281977 | 104.2 |
| Other non-financial assets | 601493 | 695717 | 86.5 |
| Total liabilities | 1739112 | 2133666 | 81.5 |
| Mortgage liabilities | 1402039 | 1445154 | 97 |
| Other liabilities | 337073 | 688512 | 49 |
| Net worth (wealth) | 10254180 | 10557710 | 97.1 |
| 2012 | |||
| Total assets | 9215015 | 9677484 | 95.2 |
| Financial assets | 4622460 | 5081444 | 91 |
| Life insurance and pensions | 1860568 | 1924187 | 96.7 |
| Other financial assets | 2761892 | 3157257 | 87.5 |
| Non-financial assets | 4592555 | 4596040 | 99.9 |
| Real estate | 4080498 | 4020480 | 101.5 |
| Other non-financial assets | 512057 | 575560 | 89 |
| Total liabilities | 1319734 | 1754980 | 75.2 |
| Mortgage liabilities | 1014491 | 1141983 | 88.8 |
| Other liabilities | 305243 | 612997 | 49.8 |
| Net worth (wealth) | 7895281 | 7922504 | 99.7 |
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Notes: The NBSA values include data for the territories. Source: Distributions of Household Economic Accounts, 2026. |
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