30 April 2020
2020- n° 108Household consumption expenditure on goods dropped sharply in March (– 17.9%), only
food consumption increased Household consumption expenditure on goods - March 2020
In March 2020, household consumption expenditure on goods dropped by 17.9% in volume*. It is the strongest decrease ever recorded in a month since the beginning of the time series in 1980. Manufactured good consumption dropped sharply (–42.3% after –0.6%) and energy expenditure decreased markedly (–11.4% after –0.9%). Only food consumption increased (+7.8% after –0.1%). The fall in household consumption in March 2020 was essentially due to the implementation of lockdown measures from mid-March onwards.
Over the whole first quarter of 2020, household expenditure on goods fell markedly (–7.3%).
In the context of the lockdown of the French population since mid-March, methodological adjustments have been decided to overcome the lack of certain indicators and estimate as well as possible the decrease in consumption. These adjustments are detailed in the methodology note related to the publication of the first estimate of the Quarterly Account (https://www.insee.fr/fr/statistiques/fichier/4485040/Compte_m_PET12020.pdf). In this context, estimates could be more revised than usual in further publications.
In March 2020, household consumption expenditure on goods dropped by 17.9% in volume*. It is the strongest decrease ever recorded in a month since the beginning of the time series in 1980. Manufactured good consumption dropped sharply (–42.3% after –0.6%) and energy expenditure decreased markedly (–11.4% after –0.9%). Only food consumption increased (+7.8% after –0.1%). The fall in household consumption in March 2020 was essentially due to the implementation of lockdown measures from mid-March onwards.
Over the whole first quarter of 2020, household expenditure on goods fell markedly (–7.3%).
tableauTotal consumption of goods
| Monthly data | |
|---|---|
| 2009-01 | 45.34 |
| 2009-02 | 44.675 |
| 2009-03 | 44.463 |
| 2009-04 | 44.956 |
| 2009-05 | 45.36 |
| 2009-06 | 45.437 |
| 2009-07 | 45.065 |
| 2009-08 | 44.71 |
| 2009-09 | 45.287 |
| 2009-10 | 45.398 |
| 2009-11 | 45.375 |
| 2009-12 | 46.023 |
| 2010-01 | 45.721 |
| 2010-02 | 45.437 |
| 2010-03 | 45.815 |
| 2010-04 | 45.479 |
| 2010-05 | 45.716 |
| 2010-06 | 45.32 |
| 2010-07 | 45.861 |
| 2010-08 | 45.557 |
| 2010-09 | 45.895 |
| 2010-10 | 45.928 |
| 2010-11 | 46.509 |
| 2010-12 | 46.674 |
| 2011-01 | 46.701 |
| 2011-02 | 46.951 |
| 2011-03 | 46.61 |
| 2011-04 | 45.629 |
| 2011-05 | 45.517 |
| 2011-06 | 45.735 |
| 2011-07 | 45.626 |
| 2011-08 | 45.928 |
| 2011-09 | 45.806 |
| 2011-10 | 45.651 |
| 2011-11 | 45.665 |
| 2011-12 | 45.501 |
| 2012-01 | 45.639 |
| 2012-02 | 46.318 |
| 2012-03 | 45.544 |
| 2012-04 | 45.579 |
| 2012-05 | 45.56 |
| 2012-06 | 45.696 |
| 2012-07 | 45.581 |
| 2012-08 | 45.426 |
| 2012-09 | 45.365 |
| 2012-10 | 45.427 |
| 2012-11 | 45.391 |
| 2012-12 | 45.268 |
| 2013-01 | 45.189 |
| 2013-02 | 45.5 |
| 2013-03 | 45.779 |
| 2013-04 | 45.431 |
| 2013-05 | 45.665 |
| 2013-06 | 45.271 |
| 2013-07 | 45.394 |
| 2013-08 | 45.193 |
| 2013-09 | 45.282 |
| 2013-10 | 45.349 |
| 2013-11 | 46.06 |
| 2013-12 | 45.894 |
| 2014-01 | 45.12 |
| 2014-02 | 44.978 |
| 2014-03 | 45.11 |
| 2014-04 | 45.047 |
| 2014-05 | 45.286 |
| 2014-06 | 45.394 |
| 2014-07 | 45.358 |
| 2014-08 | 45.59 |
| 2014-09 | 45.359 |
| 2014-10 | 45.355 |
| 2014-11 | 45.429 |
| 2014-12 | 45.959 |
| 2015-01 | 46.229 |
| 2015-02 | 46.147 |
| 2015-03 | 45.796 |
| 2015-04 | 46.008 |
| 2015-05 | 45.885 |
| 2015-06 | 46.389 |
| 2015-07 | 46.483 |
| 2015-08 | 46.307 |
| 2015-09 | 46.529 |
| 2015-10 | 46.551 |
| 2015-11 | 45.657 |
| 2015-12 | 46.558 |
| 2016-01 | 46.955 |
| 2016-02 | 46.723 |
| 2016-03 | 47.056 |
| 2016-04 | 47.116 |
| 2016-05 | 46.877 |
| 2016-06 | 46.96 |
| 2016-07 | 46.552 |
| 2016-08 | 46.835 |
| 2016-09 | 46.846 |
| 2016-10 | 47.526 |
| 2016-11 | 47.381 |
| 2016-12 | 47.414 |
| 2017-01 | 47.788 |
| 2017-02 | 47.309 |
| 2017-03 | 47.061 |
| 2017-04 | 47.276 |
| 2017-05 | 47.789 |
| 2017-06 | 47.705 |
| 2017-07 | 47.834 |
| 2017-08 | 47.678 |
| 2017-09 | 48.352 |
| 2017-10 | 47.196 |
| 2017-11 | 48.1 |
| 2017-12 | 47.875 |
| 2018-01 | 47.076 |
| 2018-02 | 48.354 |
| 2018-03 | 48.137 |
| 2018-04 | 47.054 |
| 2018-05 | 47.504 |
| 2018-06 | 47.663 |
| 2018-07 | 47.415 |
| 2018-08 | 47.667 |
| 2018-09 | 47.207 |
| 2018-10 | 47.681 |
| 2018-11 | 47.361 |
| 2018-12 | 46.721 |
| 2019-01 | 47.583 |
| 2019-02 | 47.42 |
| 2019-03 | 47.072 |
| 2019-04 | 47.218 |
| 2019-05 | 47.335 |
| 2019-06 | 47.298 |
| 2019-07 | 47.521 |
| 2019-08 | 47.552 |
| 2019-09 | 47.375 |
| 2019-10 | 47.499 |
| 2019-11 | 47.869 |
| 2019-12 | 47.695 |
| 2020-01 | 47.133 |
| 2020-02 | 46.916 |
| 2020-03 | 38.533 |
graphiqueTotal consumption of goods
- Source: INSEE
Manufactured goods: –42.3%
Manufactured good consumption dropped by 42.3% in March: durable good purchases, spending on textile-clothing and the consumption of other manufactured goods were all decreasing sharply.
Over the whole quarter, manufactured good purchases experienced an unprecedented drop (–16.3%).
Durables: –48.8%
In March, spending on durable goods were almost halved compared to February (–48.8%). In particular, the consumption of transport equipment (new or second-hand cars) dropped sharply.
Similarly, housing equipment consumption dropped, especially furniture and household appliance purchases.
Over the whole quarter, spending on durable goods decreased markedly (–18.3%).
Textile-clothing: –54.0 %
Spending on textile-clothing recorded an unprecedented decrease in March (–54%), mainly explained by the drop in clothing and shoe purchases.
Over the whole quarter, textile-clothing consumption fell markedly (–20.9%).
Other engineered goods: –23.7%
In March, the consumption of "other manufactured goods" also dropped sharply (–23.7%), despite a slight increase in the consumption of pharmaceuticals.
Over the whole quarter, "other manufactured goods" spending decreased very markedly (–9.1%).
tableauBreakdown of engineered goods
| Transport equipment | Textile-clothing | Other engineered goods | Household durables | |
|---|---|---|---|---|
| 2009-01 | 5.58 | 4.581 | 5.773 | 2.619 |
| 2009-02 | 5.529 | 4.291 | 5.714 | 2.595 |
| 2009-03 | 5.589 | 4.397 | 5.711 | 2.605 |
| 2009-04 | 5.65 | 4.34 | 5.711 | 2.625 |
| 2009-05 | 6.123 | 4.354 | 5.752 | 2.633 |
| 2009-06 | 5.853 | 4.559 | 5.746 | 2.679 |
| 2009-07 | 5.799 | 4.285 | 5.749 | 2.691 |
| 2009-08 | 5.674 | 4.118 | 5.717 | 2.697 |
| 2009-09 | 5.862 | 4.355 | 5.76 | 2.728 |
| 2009-10 | 5.903 | 4.451 | 5.772 | 2.719 |
| 2009-11 | 6.304 | 4.328 | 5.767 | 2.701 |
| 2009-12 | 6.278 | 4.415 | 5.806 | 2.722 |
| 2010-01 | 5.908 | 4.502 | 5.792 | 2.735 |
| 2010-02 | 5.72 | 4.245 | 5.824 | 2.756 |
| 2010-03 | 5.918 | 4.418 | 5.867 | 2.802 |
| 2010-04 | 5.57 | 4.407 | 5.94 | 2.77 |
| 2010-05 | 5.591 | 4.337 | 5.936 | 2.886 |
| 2010-06 | 5.595 | 4.125 | 5.969 | 2.804 |
| 2010-07 | 5.544 | 4.65 | 5.967 | 2.768 |
| 2010-08 | 5.342 | 4.433 | 5.961 | 2.911 |
| 2010-09 | 5.608 | 4.436 | 5.994 | 2.872 |
| 2010-10 | 5.584 | 4.367 | 6.006 | 2.836 |
| 2010-11 | 6.123 | 4.466 | 6.026 | 2.822 |
| 2010-12 | 6.089 | 4.439 | 6.011 | 2.804 |
| 2011-01 | 6.264 | 4.371 | 6.061 | 2.913 |
| 2011-02 | 6.355 | 4.52 | 6.067 | 3.004 |
| 2011-03 | 6.232 | 4.431 | 6.084 | 2.993 |
| 2011-04 | 5.6 | 4.502 | 6.12 | 2.873 |
| 2011-05 | 5.492 | 4.361 | 6.097 | 2.889 |
| 2011-06 | 5.489 | 4.424 | 6.117 | 2.938 |
| 2011-07 | 5.495 | 4.246 | 6.096 | 2.946 |
| 2011-08 | 5.553 | 4.305 | 6.11 | 2.952 |
| 2011-09 | 5.602 | 4.265 | 6.102 | 2.935 |
| 2011-10 | 5.53 | 4.326 | 6.118 | 2.919 |
| 2011-11 | 5.766 | 4.286 | 6.118 | 2.864 |
| 2011-12 | 5.64 | 4.331 | 6.116 | 3.046 |
| 2012-01 | 5.434 | 4.375 | 6.096 | 2.942 |
| 2012-02 | 5.322 | 4.264 | 6.124 | 3.026 |
| 2012-03 | 5.531 | 4.48 | 6.12 | 2.963 |
| 2012-04 | 5.315 | 3.981 | 6.077 | 3.054 |
| 2012-05 | 5.426 | 4.29 | 6.106 | 3.026 |
| 2012-06 | 5.311 | 4.121 | 6.139 | 3.047 |
| 2012-07 | 5.222 | 4.241 | 6.144 | 3.04 |
| 2012-08 | 5.206 | 4.224 | 6.093 | 2.984 |
| 2012-09 | 5.08 | 4.338 | 6.11 | 3.01 |
| 2012-10 | 5.149 | 4.329 | 6.122 | 3.033 |
| 2012-11 | 5.12 | 4.254 | 6.101 | 3.058 |
| 2012-12 | 5.316 | 4.254 | 6.12 | 3.034 |
| 2013-01 | 4.984 | 4.28 | 6.114 | 3.02 |
| 2013-02 | 4.986 | 4.21 | 6.114 | 3.001 |
| 2013-03 | 4.893 | 4.178 | 6.111 | 3.072 |
| 2013-04 | 4.95 | 4.218 | 6.151 | 3.086 |
| 2013-05 | 5.026 | 4.117 | 6.171 | 3.086 |
| 2013-06 | 4.972 | 4.228 | 6.141 | 3.1 |
| 2013-07 | 5.002 | 4.269 | 6.163 | 3.067 |
| 2013-08 | 5.042 | 4.176 | 6.158 | 3.111 |
| 2013-09 | 5.017 | 4.235 | 6.169 | 3.129 |
| 2013-10 | 5.09 | 4.273 | 6.178 | 3.16 |
| 2013-11 | 5.139 | 4.363 | 6.196 | 3.119 |
| 2013-12 | 5.438 | 4.241 | 6.198 | 3.182 |
| 2014-01 | 4.877 | 4.386 | 6.212 | 3.177 |
| 2014-02 | 5.039 | 4.284 | 6.215 | 3.117 |
| 2014-03 | 4.979 | 4.356 | 6.245 | 3.127 |
| 2014-04 | 5.057 | 4.247 | 6.25 | 3.141 |
| 2014-05 | 4.871 | 4.267 | 6.235 | 3.273 |
| 2014-06 | 4.952 | 4.335 | 6.24 | 3.24 |
| 2014-07 | 4.925 | 4.36 | 6.25 | 3.298 |
| 2014-08 | 4.977 | 4.272 | 6.295 | 3.334 |
| 2014-09 | 4.937 | 4.053 | 6.284 | 3.337 |
| 2014-10 | 5.049 | 4.231 | 6.293 | 3.335 |
| 2014-11 | 5.006 | 4.299 | 6.316 | 3.336 |
| 2014-12 | 4.948 | 4.358 | 6.344 | 3.409 |
| 2015-01 | 5.002 | 4.498 | 6.379 | 3.391 |
| 2015-02 | 4.956 | 4.338 | 6.406 | 3.399 |
| 2015-03 | 5.016 | 4.3 | 6.4 | 3.367 |
| 2015-04 | 5.044 | 4.4 | 6.409 | 3.35 |
| 2015-05 | 5.06 | 4.301 | 6.407 | 3.37 |
| 2015-06 | 5.227 | 4.418 | 6.43 | 3.385 |
| 2015-07 | 5.221 | 4.355 | 6.41 | 3.45 |
| 2015-08 | 5.122 | 4.39 | 6.402 | 3.474 |
| 2015-09 | 5.241 | 4.409 | 6.457 | 3.496 |
| 2015-10 | 5.193 | 4.348 | 6.426 | 3.458 |
| 2015-11 | 5.197 | 4.115 | 6.408 | 3.369 |
| 2015-12 | 5.253 | 4.299 | 6.434 | 3.762 |
| 2016-01 | 5.333 | 4.625 | 6.45 | 3.582 |
| 2016-02 | 5.349 | 4.188 | 6.464 | 3.604 |
| 2016-03 | 5.453 | 4.216 | 6.473 | 3.734 |
| 2016-04 | 5.432 | 4.224 | 6.474 | 3.864 |
| 2016-05 | 5.362 | 4.235 | 6.488 | 3.628 |
| 2016-06 | 5.379 | 4.492 | 6.477 | 3.787 |
| 2016-07 | 5.368 | 4.259 | 6.482 | 3.487 |
| 2016-08 | 5.476 | 4.215 | 6.474 | 3.536 |
| 2016-09 | 5.532 | 4.155 | 6.472 | 3.568 |
| 2016-10 | 5.533 | 4.426 | 6.49 | 3.602 |
| 2016-11 | 5.774 | 4.251 | 6.502 | 3.555 |
| 2016-12 | 5.814 | 4.319 | 6.519 | 3.572 |
| 2017-01 | 5.662 | 4.352 | 6.54 | 3.607 |
| 2017-02 | 5.696 | 4.477 | 6.511 | 3.7 |
| 2017-03 | 5.73 | 4.429 | 6.541 | 3.664 |
| 2017-04 | 5.72 | 4.31 | 6.522 | 3.687 |
| 2017-05 | 5.87 | 4.454 | 6.522 | 3.714 |
| 2017-06 | 5.926 | 4.276 | 6.552 | 3.769 |
| 2017-07 | 5.917 | 4.389 | 6.556 | 3.786 |
| 2017-08 | 5.868 | 4.387 | 6.576 | 3.775 |
| 2017-09 | 5.865 | 4.647 | 6.59 | 3.798 |
| 2017-10 | 5.909 | 4.172 | 6.562 | 3.755 |
| 2017-11 | 5.844 | 4.413 | 6.582 | 3.861 |
| 2017-12 | 5.96 | 4.353 | 6.577 | 3.714 |
| 2018-01 | 5.786 | 4.299 | 6.57 | 3.755 |
| 2018-02 | 5.886 | 4.399 | 6.557 | 3.781 |
| 2018-03 | 5.954 | 4.275 | 6.579 | 3.795 |
| 2018-04 | 6.059 | 4.423 | 6.598 | 3.702 |
| 2018-05 | 6.079 | 4.286 | 6.593 | 3.78 |
| 2018-06 | 6.057 | 4.256 | 6.587 | 3.931 |
| 2018-07 | 5.907 | 4.309 | 6.596 | 3.815 |
| 2018-08 | 6.088 | 4.307 | 6.604 | 3.846 |
| 2018-09 | 6.013 | 4.236 | 6.603 | 3.835 |
| 2018-10 | 6.092 | 4.261 | 6.611 | 3.874 |
| 2018-11 | 5.943 | 4.244 | 6.574 | 3.918 |
| 2018-12 | 5.59 | 4.267 | 6.597 | 3.785 |
| 2019-01 | 5.897 | 4.3 | 6.606 | 3.93 |
| 2019-02 | 5.906 | 4.375 | 6.624 | 3.972 |
| 2019-03 | 6.024 | 4.317 | 6.623 | 3.972 |
| 2019-04 | 5.743 | 4.272 | 6.597 | 4.0 |
| 2019-05 | 5.764 | 4.324 | 6.61 | 4.023 |
| 2019-06 | 5.902 | 4.367 | 6.631 | 3.932 |
| 2019-07 | 6.026 | 4.281 | 6.641 | 4.015 |
| 2019-08 | 6.198 | 4.351 | 6.652 | 4.0 |
| 2019-09 | 5.966 | 4.316 | 6.658 | 3.992 |
| 2019-10 | 6.088 | 4.302 | 6.668 | 4.006 |
| 2019-11 | 6.151 | 4.367 | 6.702 | 4.09 |
| 2019-12 | 6.29 | 4.303 | 6.679 | 4.066 |
| 2020-01 | 5.872 | 4.249 | 6.683 | 4.024 |
| 2020-02 | 5.97 | 4.119 | 6.549 | 3.951 |
| 2020-03 | 2.366 | 1.897 | 4.999 | 2.717 |
graphiqueBreakdown of engineered goods
- Source: INSEE
Energy: –11.4%
In March, energy consumption decreased sharply (–11.4%), particularly that of fuels (mainly diesel and petrol). Gas and electricity consumption increased, with March temperatures approaching normal after a very mild winter.
Over the whole quarter, energy spending decreased (–5.8%).
tableauBreakdown of energy
| Refined Products | Energy, water, waste | |
|---|---|---|
| 2009-01 | 4.397 | 4.87 |
| 2009-02 | 4.352 | 4.759 |
| 2009-03 | 4.322 | 4.575 |
| 2009-04 | 4.364 | 4.635 |
| 2009-05 | 4.34 | 4.558 |
| 2009-06 | 4.312 | 4.541 |
| 2009-07 | 4.275 | 4.573 |
| 2009-08 | 4.073 | 4.591 |
| 2009-09 | 4.167 | 4.571 |
| 2009-10 | 4.152 | 4.555 |
| 2009-11 | 4.188 | 4.392 |
| 2009-12 | 4.287 | 4.658 |
| 2010-01 | 4.064 | 4.911 |
| 2010-02 | 4.294 | 4.793 |
| 2010-03 | 4.154 | 4.708 |
| 2010-04 | 4.259 | 4.628 |
| 2010-05 | 4.143 | 4.721 |
| 2010-06 | 4.102 | 4.602 |
| 2010-07 | 4.186 | 4.584 |
| 2010-08 | 4.122 | 4.61 |
| 2010-09 | 4.182 | 4.641 |
| 2010-10 | 4.176 | 4.736 |
| 2010-11 | 4.162 | 4.71 |
| 2010-12 | 4.067 | 5.018 |
| 2011-01 | 4.204 | 4.59 |
| 2011-02 | 4.171 | 4.469 |
| 2011-03 | 4.095 | 4.486 |
| 2011-04 | 4.027 | 4.145 |
| 2011-05 | 3.861 | 4.496 |
| 2011-06 | 4.017 | 4.498 |
| 2011-07 | 4.018 | 4.538 |
| 2011-08 | 4.177 | 4.563 |
| 2011-09 | 4.056 | 4.506 |
| 2011-10 | 4.012 | 4.461 |
| 2011-11 | 3.972 | 4.396 |
| 2011-12 | 3.844 | 4.419 |
| 2012-01 | 4.04 | 4.466 |
| 2012-02 | 4.071 | 5.286 |
| 2012-03 | 4.003 | 4.215 |
| 2012-04 | 3.956 | 4.953 |
| 2012-05 | 4.05 | 4.52 |
| 2012-06 | 4.12 | 4.554 |
| 2012-07 | 3.991 | 4.542 |
| 2012-08 | 3.958 | 4.556 |
| 2012-09 | 3.945 | 4.578 |
| 2012-10 | 3.973 | 4.582 |
| 2012-11 | 4.023 | 4.708 |
| 2012-12 | 3.847 | 4.512 |
| 2013-01 | 3.9 | 4.699 |
| 2013-02 | 3.982 | 4.846 |
| 2013-03 | 3.981 | 4.928 |
| 2013-04 | 4.044 | 4.986 |
| 2013-05 | 4.09 | 4.792 |
| 2013-06 | 3.887 | 4.685 |
| 2013-07 | 3.894 | 4.598 |
| 2013-08 | 3.866 | 4.549 |
| 2013-09 | 3.827 | 4.56 |
| 2013-10 | 3.858 | 4.27 |
| 2013-11 | 3.892 | 4.819 |
| 2013-12 | 3.895 | 4.502 |
| 2014-01 | 3.825 | 4.241 |
| 2014-02 | 3.793 | 4.257 |
| 2014-03 | 3.822 | 4.159 |
| 2014-04 | 3.805 | 4.151 |
| 2014-05 | 3.757 | 4.387 |
| 2014-06 | 3.863 | 4.312 |
| 2014-07 | 3.829 | 4.341 |
| 2014-08 | 3.881 | 4.342 |
| 2014-09 | 3.879 | 4.287 |
| 2014-10 | 3.87 | 4.013 |
| 2014-11 | 3.766 | 4.132 |
| 2014-12 | 3.963 | 4.313 |
| 2015-01 | 3.873 | 4.445 |
| 2015-02 | 3.866 | 4.619 |
| 2015-03 | 3.837 | 4.315 |
| 2015-04 | 3.891 | 4.232 |
| 2015-05 | 3.841 | 4.254 |
| 2015-06 | 3.875 | 4.31 |
| 2015-07 | 4.013 | 4.34 |
| 2015-08 | 3.892 | 4.33 |
| 2015-09 | 3.924 | 4.408 |
| 2015-10 | 3.875 | 4.65 |
| 2015-11 | 3.772 | 4.138 |
| 2015-12 | 4.016 | 3.891 |
| 2016-01 | 3.915 | 4.25 |
| 2016-02 | 3.968 | 4.375 |
| 2016-03 | 3.973 | 4.475 |
| 2016-04 | 3.925 | 4.639 |
| 2016-05 | 4.16 | 4.392 |
| 2016-06 | 3.664 | 4.436 |
| 2016-07 | 3.915 | 4.363 |
| 2016-08 | 3.996 | 4.377 |
| 2016-09 | 3.958 | 4.329 |
| 2016-10 | 3.979 | 4.661 |
| 2016-11 | 4.024 | 4.521 |
| 2016-12 | 3.969 | 4.468 |
| 2017-01 | 3.99 | 4.861 |
| 2017-02 | 3.916 | 4.229 |
| 2017-03 | 3.892 | 3.998 |
| 2017-04 | 3.921 | 4.298 |
| 2017-05 | 4.0 | 4.37 |
| 2017-06 | 3.958 | 4.345 |
| 2017-07 | 3.988 | 4.357 |
| 2017-08 | 3.967 | 4.394 |
| 2017-09 | 4.136 | 4.478 |
| 2017-10 | 3.794 | 4.241 |
| 2017-11 | 3.926 | 4.518 |
| 2017-12 | 4.03 | 4.561 |
| 2018-01 | 3.869 | 4.115 |
| 2018-02 | 3.949 | 4.941 |
| 2018-03 | 4.006 | 4.653 |
| 2018-04 | 3.947 | 4.167 |
| 2018-05 | 3.943 | 4.253 |
| 2018-06 | 3.934 | 4.288 |
| 2018-07 | 3.867 | 4.307 |
| 2018-08 | 3.916 | 4.325 |
| 2018-09 | 3.862 | 4.283 |
| 2018-10 | 4.0 | 4.298 |
| 2018-11 | 3.942 | 4.328 |
| 2018-12 | 3.718 | 4.247 |
| 2019-01 | 3.967 | 4.547 |
| 2019-02 | 3.97 | 4.28 |
| 2019-03 | 3.857 | 4.109 |
| 2019-04 | 3.934 | 4.363 |
| 2019-05 | 3.823 | 4.439 |
| 2019-06 | 3.967 | 4.343 |
| 2019-07 | 3.976 | 4.35 |
| 2019-08 | 3.924 | 4.325 |
| 2019-09 | 3.941 | 4.306 |
| 2019-10 | 3.916 | 4.21 |
| 2019-11 | 3.95 | 4.349 |
| 2019-12 | 3.964 | 4.199 |
| 2020-01 | 3.957 | 4.201 |
| 2020-02 | 3.926 | 4.159 |
| 2020-03 | 2.918 | 4.223 |
graphiqueBreakdown of energy
- Source: INSEE
Food products: +7.8%
In March, food consumption increased markedly (+7.8% after –0.1%). Indeed, the consumption of processed food increased sharlpy and so did, to a lesser extend, the one of fresh products.
Tobacco consumption decreased sharply in March.
Over the whole quarter, food consumption increased (+2.4%).
tableauFood products, engineered goods and energy
| Food products | Energy | Engineered goods | |
|---|---|---|---|
| 2009-01 | 16.443 | 9.259 | 19.728 |
| 2009-02 | 16.333 | 9.108 | 19.333 |
| 2009-03 | 16.127 | 8.909 | 19.491 |
| 2009-04 | 16.481 | 9.01 | 19.547 |
| 2009-05 | 16.483 | 8.912 | 20.008 |
| 2009-06 | 16.533 | 8.866 | 20.074 |
| 2009-07 | 16.505 | 8.855 | 19.759 |
| 2009-08 | 16.672 | 8.65 | 19.45 |
| 2009-09 | 16.641 | 8.735 | 19.947 |
| 2009-10 | 16.66 | 8.704 | 20.061 |
| 2009-11 | 16.499 | 8.595 | 20.279 |
| 2009-12 | 16.682 | 8.946 | 20.42 |
| 2010-01 | 16.605 | 8.991 | 20.169 |
| 2010-02 | 16.633 | 9.095 | 19.799 |
| 2010-03 | 16.699 | 8.871 | 20.265 |
| 2010-04 | 16.684 | 8.891 | 19.952 |
| 2010-05 | 16.807 | 8.874 | 20.073 |
| 2010-06 | 16.873 | 8.711 | 19.772 |
| 2010-07 | 16.898 | 8.775 | 20.202 |
| 2010-08 | 16.868 | 8.739 | 19.976 |
| 2010-09 | 16.895 | 8.83 | 20.192 |
| 2010-10 | 16.991 | 8.922 | 20.063 |
| 2010-11 | 16.966 | 8.881 | 20.657 |
| 2010-12 | 17.048 | 9.104 | 20.56 |
| 2011-01 | 17.013 | 8.807 | 20.87 |
| 2011-02 | 17.04 | 8.655 | 21.21 |
| 2011-03 | 16.974 | 8.594 | 21.0 |
| 2011-04 | 17.016 | 8.191 | 20.376 |
| 2011-05 | 16.991 | 8.362 | 20.147 |
| 2011-06 | 16.906 | 8.526 | 20.294 |
| 2011-07 | 16.953 | 8.565 | 20.114 |
| 2011-08 | 16.946 | 8.752 | 20.248 |
| 2011-09 | 17.017 | 8.573 | 20.217 |
| 2011-10 | 16.963 | 8.484 | 20.197 |
| 2011-11 | 16.963 | 8.38 | 20.298 |
| 2011-12 | 16.721 | 8.27 | 20.462 |
| 2012-01 | 16.976 | 8.516 | 20.137 |
| 2012-02 | 17.003 | 9.319 | 20.017 |
| 2012-03 | 16.911 | 8.242 | 20.364 |
| 2012-04 | 16.958 | 8.883 | 19.752 |
| 2012-05 | 16.863 | 8.579 | 20.109 |
| 2012-06 | 17.07 | 8.685 | 19.944 |
| 2012-07 | 17.095 | 8.537 | 19.948 |
| 2012-08 | 17.115 | 8.513 | 19.802 |
| 2012-09 | 17.019 | 8.521 | 19.826 |
| 2012-10 | 16.937 | 8.554 | 19.932 |
| 2012-11 | 16.835 | 8.725 | 19.834 |
| 2012-12 | 16.899 | 8.353 | 20.003 |
| 2013-01 | 16.933 | 8.584 | 19.674 |
| 2013-02 | 17.104 | 8.809 | 19.595 |
| 2013-03 | 17.351 | 8.885 | 19.555 |
| 2013-04 | 16.723 | 9.007 | 19.703 |
| 2013-05 | 17.094 | 8.876 | 19.7 |
| 2013-06 | 16.976 | 8.557 | 19.739 |
| 2013-07 | 17.124 | 8.484 | 19.789 |
| 2013-08 | 17.0 | 8.407 | 19.786 |
| 2013-09 | 17.071 | 8.376 | 19.835 |
| 2013-10 | 17.207 | 8.14 | 20.0 |
| 2013-11 | 17.271 | 8.687 | 20.102 |
| 2013-12 | 17.146 | 8.396 | 20.346 |
| 2014-01 | 17.076 | 8.066 | 19.979 |
| 2014-02 | 16.957 | 8.048 | 19.972 |
| 2014-03 | 17.121 | 7.984 | 20.005 |
| 2014-04 | 17.084 | 7.959 | 20.003 |
| 2014-05 | 17.184 | 8.136 | 19.966 |
| 2014-06 | 17.154 | 8.174 | 20.067 |
| 2014-07 | 17.032 | 8.166 | 20.16 |
| 2014-08 | 17.174 | 8.221 | 20.195 |
| 2014-09 | 17.255 | 8.167 | 19.938 |
| 2014-10 | 17.225 | 7.893 | 20.236 |
| 2014-11 | 17.242 | 7.899 | 20.287 |
| 2014-12 | 17.276 | 8.279 | 20.405 |
| 2015-01 | 17.301 | 8.318 | 20.61 |
| 2015-02 | 17.221 | 8.485 | 20.441 |
| 2015-03 | 17.213 | 8.152 | 20.431 |
| 2015-04 | 17.349 | 8.123 | 20.536 |
| 2015-05 | 17.297 | 8.095 | 20.493 |
| 2015-06 | 17.404 | 8.185 | 20.8 |
| 2015-07 | 17.353 | 8.353 | 20.777 |
| 2015-08 | 17.381 | 8.222 | 20.704 |
| 2015-09 | 17.258 | 8.333 | 20.938 |
| 2015-10 | 17.303 | 8.525 | 20.723 |
| 2015-11 | 17.358 | 7.91 | 20.389 |
| 2015-12 | 17.561 | 7.907 | 21.09 |
| 2016-01 | 17.467 | 8.158 | 21.325 |
| 2016-02 | 17.476 | 8.341 | 20.908 |
| 2016-03 | 17.429 | 8.452 | 21.181 |
| 2016-04 | 17.261 | 8.582 | 21.284 |
| 2016-05 | 17.323 | 8.538 | 21.024 |
| 2016-06 | 17.393 | 8.123 | 21.439 |
| 2016-07 | 17.383 | 8.278 | 20.891 |
| 2016-08 | 17.489 | 8.368 | 20.98 |
| 2016-09 | 17.535 | 8.282 | 21.029 |
| 2016-10 | 17.52 | 8.655 | 21.36 |
| 2016-11 | 17.446 | 8.548 | 21.394 |
| 2016-12 | 17.447 | 8.441 | 21.53 |
| 2017-01 | 17.469 | 8.887 | 21.457 |
| 2017-02 | 17.474 | 8.133 | 21.692 |
| 2017-03 | 17.507 | 7.86 | 21.671 |
| 2017-04 | 17.51 | 8.213 | 21.546 |
| 2017-05 | 17.554 | 8.362 | 21.872 |
| 2017-06 | 17.575 | 8.298 | 21.827 |
| 2017-07 | 17.532 | 8.337 | 21.963 |
| 2017-08 | 17.402 | 8.358 | 21.92 |
| 2017-09 | 17.547 | 8.603 | 22.213 |
| 2017-10 | 17.431 | 8.036 | 21.715 |
| 2017-11 | 17.623 | 8.456 | 22.022 |
| 2017-12 | 17.369 | 8.597 | 21.923 |
| 2018-01 | 17.37 | 7.973 | 21.731 |
| 2018-02 | 17.512 | 8.917 | 21.93 |
| 2018-03 | 17.545 | 8.669 | 21.925 |
| 2018-04 | 16.859 | 8.101 | 22.11 |
| 2018-05 | 17.266 | 8.189 | 22.057 |
| 2018-06 | 17.307 | 8.217 | 22.147 |
| 2018-07 | 17.311 | 8.174 | 21.934 |
| 2018-08 | 17.268 | 8.239 | 22.169 |
| 2018-09 | 17.06 | 8.144 | 22.014 |
| 2018-10 | 17.234 | 8.289 | 22.168 |
| 2018-11 | 17.105 | 8.267 | 21.999 |
| 2018-12 | 17.198 | 7.97 | 21.552 |
| 2019-01 | 17.041 | 8.515 | 22.028 |
| 2019-02 | 17.01 | 8.248 | 22.184 |
| 2019-03 | 16.89 | 7.964 | 22.259 |
| 2019-04 | 17.007 | 8.296 | 21.925 |
| 2019-05 | 17.06 | 8.263 | 22.025 |
| 2019-06 | 16.867 | 8.309 | 22.144 |
| 2019-07 | 16.928 | 8.325 | 22.293 |
| 2019-08 | 16.789 | 8.248 | 22.556 |
| 2019-09 | 16.89 | 8.247 | 22.267 |
| 2019-10 | 17.027 | 8.124 | 22.383 |
| 2019-11 | 16.946 | 8.298 | 22.664 |
| 2019-12 | 16.876 | 8.161 | 22.709 |
| 2020-01 | 16.926 | 8.155 | 22.073 |
| 2020-02 | 16.904 | 8.082 | 21.951 |
| 2020-03 | 18.214 | 7.158 | 12.665 |
graphiqueFood products, engineered goods and energy
- Source: INSEE
The variation in February 2020 was revised downwards
The variation in household expenditure on goods of February 2020 was revised downwards (–0.5% instead of –0.1%). Since the previous publication, new information has been integrated and the seasonal adjustment coefficients have been updated, excluding March from the estimation period.
tableauHousehold consumption expenditure on goods
| Weight (1) | January 2020 | February 2020 | March 2020 | March 20 / March 19 | Q / Q-1 (2) | |
|---|---|---|---|---|---|---|
| Food products | 37 | 0.3 | -0.1 | 7.8 | 7.8 | 2.4 |
| - excl. Tobacco | 34 | 0.2 | -0.1 | 9.4 | 9.8 | 2.9 |
| Engineered goods | 44 | -2.8 | -0.6 | -42.3 | -43.1 | -16.3 |
| - Durables | 22 | -5.0 | 1.3 | -48.8 | -49.0 | -18.8 |
| Including: | ||||||
| - Transport equipment | 13 | -6.6 | 1.7 | -60.4 | -60.7 | -23.3 |
| - Household durables | 7 | -1.0 | -1.8 | -31.2 | -31.6 | -12.1 |
| - Textile-clothing | 9 | -1.2 | -3.1 | -54.0 | -56.1 | -20.9 |
| - Other engineered goods | 13 | 0.1 | -2.0 | -23.7 | -24.5 | -9.1 |
| Energy | 18 | -0.1 | -0.9 | -11.4 | -10.1 | -4.8 |
| - Energy. water. waste | 10 | 0.1 | -1.0 | 1.5 | 2.8 | -1.4 |
| - Refined Products | 9 | -0.2 | -0.8 | -25.7 | -24.3 | -8.7 |
| Total | 100 | -1.2 | -0.5 | -17.9 | -18.1 | -7.3 |
| - Including Manufactured goods | 84 | -1.4 | -0.4 | -22.1 | -22.4 | -8.7 |
- (1) Weighting in the consumption expenditure on goods in value in 2017
- (2) Last three months / previous three months
- Source: INSEE
For more information
*Volumes are measured at chain-link previous year prices (2014 euro billions) and all figures are trading-day and seasonally adjusted.
Scope and definition - Consumption expenditure on goods is compliant with the national-accounts definition (NAF Rev. 2). In 2010, they accounted for half of total households’ consumption expenditure. They are divided into three main items:
Food: products of agriculture, forestry and fishing (AZ), food, drinks and tobacco (C1)
Energy: mining products, as well as water, gas, electricity and air conditioning, sanitation and waste management (DE), and refined and coked products (C2).
Engineered goods: computers, electronic, electrical and optical goods (C3), transport equipment (C4), textiles and clothing, products made of leather, wood, paper, metals, plastic, rubber, chemicals, minerals, furniture, hardware, drugs (C5). Within this heading are distinguished “durable” goods which include transport equipment, household durables (furniture, household appliances, etc.) and other durable goods (jewelry, watches, glasses, medical devices, etc.).
The manufactured goods correspond to all the products C1, C2, C3, C4, C5.
Sources: This indicator is the compilation of a variety of statistical sources issued by the Bank of France, the French Federation of Automobile Manufacturers (CCFA), the Department of Data and Statistical Studies (SDES), the French Institute of Fashion (IFM), the National Health-Insurance Administration (CNAM), the National Federation of Rubber and Plastics Industries (SNCP), the Board of Oil (CPDP), GFK, Logista, the International Union Committee of Automobile and Motorcycle (CSIAM), etc.
Next publication: 29 May 2020 at 8:45 am
Documentation
Methodology (pdf,23 Ko)
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