Data for 2018
Consumption-Based CO₂ Emissions, 2018
2018, as Global Carbon Project’s 2025 release gives it · stored as published, never rewritten
This counts the carbon dioxide from fossil fuels and cement that goes into everything a country consumes, wherever in the world it was emitted. The steel, electronics and clothes a country imports carry the emissions of the factories that made them, so this is the fairer reading for a country that buys its manufactured goods abroad.
Consumption-Based CO₂ Emissions, 2018 covers 120 countries on 3 measures. China is highest, at 2,577.356; Rwanda is lowest, at 0.688. The middle country reads 11.930. Against 2017, 120 values changed (78 up, 42 down), the same countries are covered.
Consumption-Based CO₂ Emissions · Data for 2018
HighestChina
2,577.356LowestRwanda
0.688Shaded by value in five groups of equal size, darkest at the highest end.
01Values only
The table
Every country and every column of Consumption-Based CO₂ Emissions, 2018, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 120 countries · select a heading to sort
CHNEastern Asia | 2,577.356 | 2,823.906 | 246.54979 |
USANorthern America | 1,551.457 | 1,463.219 | -88.23716 |
INDSouthern Asia | 611.098 | 708.304 | 97.20626 |
JPNEastern Asia | 347.783 | 310.740 | -37.04350 |
RUSEastern Europe | 341.376 | 466.678 | 125.30285 |
DEUWestern Europe | 243.488 | 207.088 | -36.39999 |
KOREastern Asia | 204.484 | 182.906 | -21.57806 |
SAUWestern Asia | 168.125 | 178.003 | 9.87853 |
IDNSouth-eastern Asia | 165.623 | 165.769 | 0.14629 |
MEXCentral America | 155.895 | 127.844 | -28.05102 |
CANNorthern America | 151.916 | 156.957 | 5.04128 |
GBRNorthern Europe | 148.812 | 103.638 | -45.17387 |
IRNSouthern Asia | 143.619 | 181.366 | 37.74649 |
BRASouth America | 132.193 | 130.077 | -2.11636 |
ITASouthern Europe | 127.405 | 95.264 | -32.14028 |
FRAWestern Europe | 124.473 | 88.183 | -36.29010 |
TURWestern Asia | 122.353 | 115.671 | -6.68250 |
AUSAustralia and New Zealand | 105.453 | 113.204 | 7.75101 |
ZAFSouthern Africa | 96.989 | 123.844 | 26.85494 |
POLEastern Europe | 89.730 | 91.626 | 1.89650 |
THASouth-eastern Asia | 83.383 | 78.686 | -4.69704 |
ESPSouthern Europe | 81.637 | 73.286 | -8.35032 |
TWNEastern Asia | 78.510 | 77.552 | -0.95766 |
MYSSouth-eastern Asia | 72.589 | 71.683 | -0.90542 |
EGYNorthern Africa | 68.847 | 66.022 | -2.82578 |
AREWestern Asia | 67.483 | 55.705 | -11.77741 |
PAKSouthern Asia | 63.578 | 55.540 | -8.03732 |
KAZCentral Asia | 62.154 | 89.949 | 27.79478 |
UKREastern Europe | 58.211 | 63.291 | 5.08087 |
BELWestern Europe | 57.837 | 27.363 | -30.47423 |
VNMSouth-eastern Asia | 51.569 | 69.724 | 18.15536 |
PHLSouth-eastern Asia | 50.378 | 38.171 | -12.20735 |
ARGSouth America | 50.135 | 49.804 | -0.33055 |
SGPSouth-eastern Asia | 48.221 | 13.728 | -34.49295 |
NLDWestern Europe | 45.163 | 43.194 | -1.96867 |
BGDSouthern Asia | 38.015 | 23.638 | -14.37723 |
CHEWestern Europe | 34.707 | 10.083 | -24.62394 |
HKGEastern Asia | 33.917 | 11.626 | -22.29116 |
CZEEastern Europe | 31.471 | 29.018 | -2.45251 |
NGAWestern Africa | 31.082 | 29.145 | -1.93748 |
COLSouth America | 29.025 | 24.785 | -4.24071 |
KWTWestern Asia | 28.661 | 27.962 | -0.69877 |
CHLSouth America | 25.317 | 23.047 | -2.27007 |
ISRWestern Asia | 24.722 | 16.372 | -8.35026 |
AUTWestern Europe | 24.148 | 18.168 | -5.98072 |
ROUEastern Europe | 24.053 | 21.800 | -2.25367 |
GRCSouthern Europe | 22.219 | 19.590 | -2.62908 |
OMNWestern Asia | 21.245 | 19.290 | -1.95559 |
QATWestern Asia | 20.733 | 28.008 | 7.27459 |
BLREastern Europe | 20.006 | 16.968 | -3.03754 |
SWENorthern Europe | 19.399 | 11.424 | -7.97502 |
PERSouth America | 19.262 | 15.288 | -3.97428 |
MARNorthern Africa | 18.699 | 17.007 | -1.69190 |
HUNEastern Europe | 18.200 | 13.473 | -4.72637 |
FINNorthern Europe | 16.776 | 12.483 | -4.29321 |
PRTSouthern Europe | 15.667 | 14.012 | -1.65510 |
DNKNorthern Europe | 15.524 | 9.446 | -6.07815 |
NORNorthern Europe | 13.281 | 12.138 | -1.14324 |
IRLNorthern Europe | 12.643 | 10.623 | -2.02000 |
ECUSouth America | 12.224 | 10.494 | -1.72945 |
LKASouthern Asia | 11.635 | 5.496 | -6.13962 |
NZLAustralia and New Zealand | 11.346 | 9.740 | -1.60652 |
BGREastern Europe | 11.219 | 11.873 | 0.65449 |
MNGEastern Asia | 11.131 | 12.369 | 1.23799 |
SVKEastern Europe | 11.123 | 9.876 | -1.24718 |
NPLSouthern Asia | 10.039 | 3.832 | -6.20724 |
AZEWestern Asia | 9.618 | 9.437 | -0.18131 |
DOMCaribbean | 9.578 | 6.879 | -2.69968 |
JORWestern Asia | 9.256 | 6.938 | -2.31829 |
TUNNorthern Africa | 8.448 | 8.494 | 0.04611 |
KHMSouth-eastern Asia | 8.118 | 3.804 | -4.31434 |
KENEastern Africa | 7.968 | 4.641 | -3.32790 |
HRVSouthern Europe | 6.746 | 4.829 | -1.91719 |
GTMCentral America | 6.554 | 5.005 | -1.54855 |
LTUNorthern Europe | 6.517 | 3.661 | -2.85621 |
BOLSouth America | 6.348 | 6.143 | -0.20468 |
TTOCaribbean | 6.254 | 11.001 | 4.74699 |
BHRWestern Asia | 6.032 | 8.924 | 2.89183 |
GHAWestern Africa | 5.894 | 4.146 | -1.74868 |
SVNSouthern Europe | 5.610 | 3.975 | -1.63520 |
ETHEastern Africa | 5.609 | 4.399 | -1.21033 |
TZAEastern Africa | 5.504 | 3.885 | -1.61932 |
KGZCentral Asia | 5.458 | 3.050 | -2.40836 |
PANCentral America | 5.214 | 2.489 | -2.72493 |
ESTNorthern Europe | 5.057 | 4.858 | -0.19887 |
VENSouth America | 4.706 | 30.360 | 25.65404 |
MLTSouthern Europe | 4.618 | 0.422 | -4.19554 |
SENWestern Africa | 4.507 | 3.092 | -1.41512 |
LVANorthern Europe | 4.329 | 2.141 | -2.18860 |
CRICentral America | 4.018 | 2.174 | -1.84343 |
CIVWestern Africa | 3.932 | 2.843 | -1.08970 |
GEOWestern Asia | 3.892 | 2.699 | -1.19340 |
LAOSouth-eastern Asia | 3.798 | 5.590 | 1.79193 |
BWASouthern Africa | 3.619 | 2.086 | -1.53292 |
PRYSouth America | 3.602 | 2.321 | -1.28164 |
MOZEastern Africa | 3.410 | 1.913 | -1.49709 |
ZWEEastern Africa | 3.371 | 3.059 | -0.31166 |
TJKCentral Asia | 3.243 | 2.205 | -1.03738 |
ZMBEastern Africa | 2.902 | 2.363 | -0.53912 |
SLVCentral America | 2.700 | 1.761 | -0.93876 |
URYSouth America | 2.654 | 1.793 | -0.86109 |
CMRMiddle Africa | 2.642 | 2.687 | 0.04421 |
CYPWestern Asia | 2.576 | 1.999 | -0.57711 |
NAMSouthern Africa | 2.508 | 0.992 | -1.51567 |
LUXWestern Europe | 2.384 | 2.608 | 0.22440 |
BRNSouth-eastern Asia | 2.334 | 2.549 | 0.21499 |
ARMWestern Asia | 2.286 | 1.589 | -0.69742 |
JAMCaribbean | 2.262 | 2.200 | -0.06237 |
HNDCentral America | 2.222 | 2.695 | 0.47361 |
TGOWestern Africa | 2.150 | 0.555 | -1.59523 |
UGAEastern Africa | 2.112 | 1.514 | -0.59799 |
BENWestern Africa | 2.022 | 1.547 | -0.47447 |
MUSEastern Africa | 1.992 | 1.216 | -0.77638 |
NICCentral America | 1.964 | 1.413 | -0.55061 |
ALBSouthern Europe | 1.710 | 1.418 | -0.29175 |
GINWestern Africa | 1.576 | 1.029 | -0.54680 |
MDGEastern Africa | 1.440 | 0.984 | -0.45640 |
BFAWestern Africa | 1.346 | 1.426 | 0.08076 |
MWIEastern Africa | 0.726 | 0.461 | -0.26438 |
RWAEastern Africa | 0.688 | 0.358 | -0.32973 |
02In 2018
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
China2,577.356
United States1,551.457
India611.098
Japan347.783
Russia341.376
Lowest
Rwanda0.688
Malawi0.726
Burkina Faso1.346
Madagascar1.440
Guinea1.576
Neither end is better. The values describe a shape, not a score. The middle country reads 11.930. “Shared” marks a value another country also holds.
Each measure’s ends
Territorial fossil CO₂ (million tonnes of carbon)
Highest
China2,823.906
Lowest
Rwanda0.358
Middle country: 10.812
Emissions transferred through trade (million tonnes of carbon)
Highest
China246.54979
Lowest
United States-88.23716
Middle country: -1.54073
032017 → 2018
Since 2017
- +0 / −0countries joined / left
- 120values changed, of 120 in both
- 78 · 42rose · fell
- 0unchanged
Rose most
China2,444.706 → 2,577.356+132.650
United States1,508.223 → 1,551.457+43.233
India576.472 → 611.098+34.626
South Korea191.544 → 204.484+12.941
Indonesia154.882 → 165.623+10.741
04Caveats
Read before you use
One year of the 2025 release
Every year in this series comes from Global Carbon Project’s 2025 release, recalculated on one method, so a change from one year to the next is not a revision. It can differ from what was first published for 2018.
Nothing missing
Every one of the 120 countries has every column.
05The files
Download and cite
- .csv
For a spreadsheet or code
120 rows · 8.9 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download consumption-co2-2018-nations-inquiry.csv - ↗
The publisher’s original
Global Carbon Project’s own file, on its own site.
https://globalcarbonbudget.org/datahub/the-latest-gcb-data-2025/
What this site changed: Reshaped to one row per country, with its ISO code; no value recalculated, rescaled or rounded. In full
Licence: CC BY 4.0 · what it allows, in plain words
Cite this edition
Global Carbon Project (2018). Consumption-Based CO₂ Emissions, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/consumption-co2/2018
0634 held
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Consumption-Based CO₂ Emissions, 2017120 countries
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Consumption-Based CO₂ Emissions, 2019120 countries
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Consumption-Based CO₂ Emissions: every year34 held, with the data dictionary, coverage and licence.
How it has moved, charted by country