Data for 2017
Consumption-Based CO₂ Emissions, 2017
2017, 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, 2017 covers 120 countries on 3 measures. China is highest, at 2,444.706; Malawi is lowest, at 0.251. The middle country reads 12.203. Against 2016, 120 values changed (73 up, 47 down), the same countries are covered.
Consumption-Based CO₂ Emissions · Data for 2017
HighestChina
2,444.706LowestMalawi
0.251Shaded 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, 2017, 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 | 2,444.706 | 2,729.261 | 284.5556 |
USANorthern America | 1,508.223 | 1,417.963 | -90.2601 |
INDSouthern Asia | 576.472 | 662.042 | 85.5697 |
RUSEastern Europe | 355.758 | 453.333 | 97.5746 |
JPNEastern Asia | 351.830 | 323.251 | -28.5793 |
DEUWestern Europe | 246.122 | 214.136 | -31.9857 |
KOREastern Asia | 191.544 | 178.640 | -12.9035 |
SAUWestern Asia | 170.250 | 175.897 | 5.6467 |
IRNSouthern Asia | 154.975 | 190.068 | 35.0927 |
IDNSouth-eastern Asia | 154.882 | 155.821 | 0.9390 |
MEXCentral America | 153.054 | 126.749 | -26.3054 |
GBRNorthern Europe | 152.384 | 105.722 | -46.6619 |
CANNorthern America | 151.366 | 154.656 | 3.2903 |
BRASouth America | 138.301 | 135.714 | -2.5879 |
TURWestern Asia | 125.950 | 117.528 | -8.4222 |
ITASouthern Europe | 125.474 | 96.252 | -29.2225 |
FRAWestern Europe | 123.641 | 92.349 | -31.2912 |
AUSAustralia and New Zealand | 108.083 | 112.830 | 4.7471 |
ZAFSouthern Africa | 94.826 | 120.090 | 25.2643 |
POLEastern Europe | 86.610 | 91.841 | 5.2311 |
ESPSouthern Europe | 80.318 | 74.641 | -5.6774 |
THASouth-eastern Asia | 79.229 | 77.333 | -1.8966 |
TWNEastern Asia | 78.807 | 77.985 | -0.8227 |
EGYNorthern Africa | 71.059 | 69.150 | -1.9099 |
MYSSouth-eastern Asia | 67.238 | 66.719 | -0.5195 |
PAKSouthern Asia | 66.485 | 57.855 | -8.6295 |
KAZCentral Asia | 65.337 | 86.714 | 21.3776 |
AREWestern Asia | 65.131 | 53.628 | -11.5030 |
BELWestern Europe | 55.412 | 27.097 | -28.3156 |
UKREastern Europe | 54.496 | 60.941 | 6.4446 |
ARGSouth America | 52.743 | 51.056 | -1.6877 |
PHLSouth-eastern Asia | 48.314 | 36.456 | -11.8578 |
VNMSouth-eastern Asia | 46.945 | 62.144 | 15.1983 |
SGPSouth-eastern Asia | 46.259 | 13.674 | -32.5855 |
NLDWestern Europe | 45.232 | 44.295 | -0.9373 |
CHEWestern Europe | 36.919 | 10.435 | -26.4840 |
BGDSouthern Asia | 36.562 | 23.617 | -12.9459 |
HKGEastern Asia | 34.341 | 11.581 | -22.7604 |
NGAWestern Africa | 32.372 | 30.715 | -1.6571 |
CZEEastern Europe | 30.415 | 29.404 | -1.0107 |
KWTWestern Asia | 27.465 | 27.295 | -0.1700 |
COLSouth America | 27.066 | 22.778 | -4.2878 |
VENSouth America | 25.481 | 37.962 | 12.4811 |
CHLSouth America | 24.237 | 22.963 | -1.2750 |
AUTWestern Europe | 24.185 | 18.996 | -5.1894 |
ISRWestern Asia | 23.059 | 16.061 | -6.9975 |
ROUEastern Europe | 22.770 | 21.679 | -1.0909 |
GRCSouthern Europe | 21.504 | 20.426 | -1.0777 |
QATWestern Asia | 21.389 | 28.836 | 7.4475 |
OMNWestern Asia | 20.576 | 18.107 | -2.4687 |
SWENorthern Europe | 19.375 | 11.560 | -7.8149 |
BLREastern Europe | 18.779 | 16.224 | -2.5553 |
PERSouth America | 18.643 | 14.936 | -3.7073 |
MARNorthern Africa | 18.215 | 16.677 | -1.5382 |
HUNEastern Europe | 17.991 | 13.489 | -4.5025 |
PRTSouthern Europe | 16.228 | 15.056 | -1.1722 |
FINNorthern Europe | 16.189 | 12.188 | -4.0013 |
DNKNorthern Europe | 15.014 | 9.461 | -5.5528 |
NORNorthern Europe | 13.406 | 12.063 | -1.3438 |
IRLNorthern Europe | 12.461 | 10.655 | -1.8059 |
ECUSouth America | 11.945 | 10.698 | -1.2478 |
LKASouthern Asia | 11.773 | 6.050 | -5.7232 |
BGREastern Europe | 11.440 | 12.949 | 1.5096 |
NZLAustralia and New Zealand | 11.103 | 9.733 | -1.3698 |
SVKEastern Europe | 10.789 | 9.876 | -0.9131 |
JORWestern Asia | 9.337 | 7.118 | -2.2186 |
DOMCaribbean | 9.177 | 6.402 | -2.7756 |
AZEWestern Asia | 9.009 | 9.470 | 0.4606 |
MNGEastern Asia | 8.234 | 9.317 | 1.0834 |
KENEastern Africa | 7.507 | 4.416 | -3.0912 |
KHMSouth-eastern Asia | 7.016 | 3.299 | -3.7176 |
TTOCaribbean | 6.767 | 10.998 | 4.2307 |
TUNNorthern Africa | 6.627 | 8.645 | 2.0187 |
HRVSouthern Europe | 6.361 | 5.107 | -1.2535 |
BOLSouth America | 6.335 | 6.054 | -0.2814 |
LTUNorthern Europe | 6.088 | 3.624 | -2.4638 |
BHRWestern Asia | 5.837 | 8.984 | 3.1464 |
ETHEastern Africa | 5.611 | 3.985 | -1.6259 |
GHAWestern Africa | 5.522 | 3.394 | -2.1280 |
PANCentral America | 5.351 | 2.611 | -2.7401 |
SVNSouthern Europe | 5.301 | 3.995 | -1.3062 |
TZAEastern Africa | 5.010 | 3.688 | -1.3214 |
KGZCentral Asia | 4.729 | 2.556 | -2.1733 |
ESTNorthern Europe | 4.679 | 5.081 | 0.4014 |
SENWestern Africa | 4.131 | 2.936 | -1.1949 |
GTMCentral America | 4.126 | 4.638 | 0.5114 |
CIVWestern Africa | 4.028 | 3.276 | -0.7528 |
CRICentral America | 3.912 | 2.180 | -1.7321 |
LAOSouth-eastern Asia | 3.818 | 5.356 | 1.5379 |
LVANorthern Europe | 3.807 | 1.969 | -1.8377 |
TJKCentral Asia | 3.804 | 1.878 | -1.9259 |
MLTSouthern Europe | 3.537 | 0.420 | -3.1178 |
GEOWestern Asia | 3.525 | 2.746 | -0.7797 |
BWASouthern Africa | 3.469 | 1.929 | -1.5405 |
MOZEastern Africa | 3.443 | 1.885 | -1.5580 |
PRYSouth America | 3.390 | 2.167 | -1.2230 |
ZWEEastern Africa | 3.016 | 2.683 | -0.3334 |
NPLSouthern Asia | 2.952 | 3.390 | 0.4386 |
CMRMiddle Africa | 2.841 | 2.615 | -0.2254 |
ZMBEastern Africa | 2.760 | 2.036 | -0.7239 |
CYPWestern Asia | 2.625 | 2.039 | -0.5862 |
NAMSouthern Africa | 2.531 | 0.980 | -1.5518 |
URYSouth America | 2.496 | 1.679 | -0.8172 |
LUXWestern Europe | 2.431 | 2.525 | 0.0942 |
SLVCentral America | 2.391 | 1.622 | -0.7694 |
HNDCentral America | 2.251 | 2.783 | 0.5325 |
BENWestern Africa | 2.085 | 1.516 | -0.5693 |
UGAEastern Africa | 2.075 | 1.475 | -0.5999 |
NICCentral America | 2.068 | 1.485 | -0.5827 |
BRNSouth-eastern Asia | 2.009 | 2.541 | 0.5319 |
MUSEastern Africa | 1.901 | 1.239 | -0.6625 |
JAMCaribbean | 1.799 | 2.120 | 0.3216 |
ARMWestern Asia | 1.748 | 1.511 | -0.2374 |
GINWestern Africa | 1.724 | 1.323 | -0.4010 |
ALBSouthern Europe | 1.666 | 1.458 | -0.2073 |
MDGEastern Africa | 1.562 | 1.038 | -0.5234 |
BFAWestern Africa | 1.227 | 1.261 | 0.0345 |
RWAEastern Africa | 0.516 | 0.319 | -0.1971 |
TGOWestern Africa | 0.487 | 0.522 | 0.0350 |
MWIEastern Africa | 0.251 | 0.326 | 0.0742 |
02In 2017
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
China2,444.706
United States1,508.223
India576.472
Russia355.758
Japan351.830
Lowest
Malawi0.251
Togo0.487
Rwanda0.516
Burkina Faso1.227
Madagascar1.562
Neither end is better. The values describe a shape, not a score. The middle country reads 12.203. “Shared” marks a value another country also holds.
Each measure’s ends
Territorial fossil CO₂ (million tonnes of carbon)
Highest
China2,729.261
Lowest
Rwanda0.319
Middle country: 10.676
Emissions transferred through trade (million tonnes of carbon)
Highest
China284.5556
Lowest
United States-90.2601
Middle country: -1.2090
032016 → 2017
Since 2016
- +0 / −0countries joined / left
- 120values changed, of 120 in both
- 73 · 47rose · fell
- 0unchanged
Rose most
China2,366.842 → 2,444.706+77.864
India546.416 → 576.472+30.056
Iran145.068 → 154.975+9.907
Pakistan57.639 → 66.485+8.846
South Korea182.701 → 191.544+8.842
Fell most
Switzerland46.617 → 36.919−9.698
Japan361.029 → 351.830−9.199
United States1,516.856 → 1,508.223−8.632
United Kingdom159.049 → 152.384−6.665
United Arab Emirates70.689 → 65.131−5.558
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 2017.
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-co2-2017-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 (2017). Consumption-Based CO₂ Emissions, 2017 [data set], describing 2017. As held by Nations Inquiry, https://nationsinquiry.com/datasets/consumption-co2/2017
0634 held
Other years
‹ The year before
Consumption-Based CO₂ Emissions, 2016120 countries
The year after ›
Consumption-Based CO₂ Emissions, 2018120 countries
All of them
Consumption-Based CO₂ Emissions: every year34 held, with the data dictionary, coverage and licence.
How it has moved, charted by country