Data for 2019
Consumption-Based CO₂ Emissions, 2019
2019, 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, 2019 covers 120 countries on 3 measures. China is highest, at 2,665.689; Rwanda is lowest, at 0.737. The middle country reads 12.199. Against 2018, 120 values changed (53 up, 67 down), the same countries are covered.
Consumption-Based CO₂ Emissions · Data for 2019
HighestChina
2,665.689LowestRwanda
0.737Shaded 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, 2019, 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 | 2,665.689 | 2,923.994 | 258.3053 |
USANorthern America | 1,522.947 | 1,429.015 | -93.9314 |
INDSouthern Asia | 618.803 | 712.657 | 93.8541 |
RUSEastern Europe | 351.071 | 465.191 | 114.1196 |
JPNEastern Asia | 339.978 | 300.781 | -39.1971 |
DEUWestern Europe | 231.005 | 193.409 | -37.5964 |
KOREastern Asia | 200.750 | 176.338 | -24.4116 |
SAUWestern Asia | 183.459 | 193.323 | 9.8639 |
IDNSouth-eastern Asia | 181.280 | 181.509 | 0.2291 |
IRNSouthern Asia | 167.769 | 198.490 | 30.7212 |
MEXCentral America | 153.634 | 127.794 | -25.8408 |
CANNorthern America | 149.875 | 158.026 | 8.1513 |
GBRNorthern Europe | 143.213 | 99.551 | -43.6629 |
BRASouth America | 132.638 | 130.110 | -2.5278 |
ITASouthern Europe | 122.956 | 92.696 | -30.2599 |
FRAWestern Europe | 120.809 | 86.332 | -34.4765 |
TURWestern Asia | 114.310 | 110.963 | -3.3468 |
AUSAustralia and New Zealand | 104.707 | 113.244 | 8.5367 |
ZAFSouthern Africa | 100.295 | 128.474 | 28.1787 |
POLEastern Europe | 84.513 | 86.639 | 2.1259 |
THASouth-eastern Asia | 82.880 | 76.932 | -5.9480 |
TWNEastern Asia | 78.396 | 74.974 | -3.4222 |
ESPSouthern Europe | 77.536 | 68.415 | -9.1206 |
MYSSouth-eastern Asia | 75.118 | 75.784 | 0.6662 |
EGYNorthern Africa | 67.241 | 63.881 | -3.3598 |
VNMSouth-eastern Asia | 66.830 | 92.607 | 25.7775 |
AREWestern Asia | 64.606 | 55.693 | -8.9131 |
PAKSouthern Asia | 59.873 | 52.081 | -7.7913 |
KAZCentral Asia | 57.656 | 80.797 | 23.1412 |
UKREastern Europe | 57.142 | 60.641 | 3.4984 |
BELWestern Europe | 55.808 | 27.238 | -28.5706 |
PHLSouth-eastern Asia | 50.870 | 38.920 | -11.9502 |
SGPSouth-eastern Asia | 47.942 | 13.373 | -34.5685 |
ARGSouth America | 47.135 | 49.243 | 2.1079 |
NLDWestern Europe | 44.388 | 41.683 | -2.7051 |
BGDSouthern Asia | 40.556 | 25.875 | -14.6803 |
NGAWestern Africa | 36.106 | 34.896 | -1.2103 |
CHEWestern Europe | 33.845 | 10.050 | -23.7955 |
HKGEastern Asia | 33.763 | 11.435 | -22.3278 |
COLSouth America | 30.690 | 27.009 | -3.6812 |
CZEEastern Europe | 30.270 | 27.565 | -2.7050 |
KWTWestern Asia | 29.512 | 28.563 | -0.9488 |
CHLSouth America | 26.738 | 25.103 | -1.6350 |
ISRWestern Asia | 24.133 | 16.089 | -8.0438 |
AUTWestern Europe | 23.638 | 18.546 | -5.0928 |
ROUEastern Europe | 23.239 | 20.931 | -2.3077 |
OMNWestern Asia | 21.449 | 19.660 | -1.7890 |
QATWestern Asia | 21.262 | 27.683 | 6.4211 |
GRCSouthern Europe | 20.555 | 17.941 | -2.6139 |
PERSouth America | 19.852 | 16.012 | -3.8397 |
MARNorthern Africa | 19.836 | 18.762 | -1.0737 |
BLREastern Europe | 19.710 | 16.968 | -2.7418 |
SWENorthern Europe | 18.286 | 11.128 | -7.1579 |
HUNEastern Europe | 17.761 | 13.417 | -4.3440 |
FINNorthern Europe | 15.444 | 11.584 | -3.8596 |
PRTSouthern Europe | 14.752 | 12.987 | -1.7656 |
DNKNorthern Europe | 14.472 | 8.447 | -6.0245 |
NORNorthern Europe | 13.182 | 11.699 | -1.4823 |
ECUSouth America | 12.686 | 10.940 | -1.7462 |
IRLNorthern Europe | 12.617 | 10.153 | -2.4641 |
LKASouthern Asia | 11.781 | 5.760 | -6.0209 |
VENSouth America | 11.733 | 28.775 | 17.0413 |
NZLAustralia and New Zealand | 11.475 | 10.019 | -1.4558 |
MNGEastern Asia | 11.347 | 12.860 | 1.5125 |
BGREastern Europe | 10.899 | 11.516 | 0.6173 |
SVKEastern Europe | 10.591 | 9.239 | -1.3520 |
AZEWestern Asia | 10.289 | 10.304 | 0.0150 |
DOMCaribbean | 10.199 | 7.770 | -2.4282 |
KHMSouth-eastern Asia | 9.704 | 5.084 | -4.6206 |
NPLSouthern Asia | 9.493 | 3.480 | -6.0133 |
JORWestern Asia | 8.914 | 6.706 | -2.2087 |
KENEastern Africa | 8.242 | 4.956 | -3.2864 |
TUNNorthern Africa | 8.204 | 8.346 | 0.1413 |
TTOCaribbean | 7.029 | 11.123 | 4.0943 |
GTMCentral America | 6.716 | 5.256 | -1.4597 |
HRVSouthern Europe | 6.569 | 4.864 | -1.7052 |
BHRWestern Asia | 6.511 | 10.266 | 3.7553 |
BOLSouth America | 6.410 | 6.171 | -0.2398 |
LTUNorthern Europe | 6.120 | 3.725 | -2.3953 |
GHAWestern Africa | 5.966 | 4.480 | -1.4863 |
ETHEastern Africa | 5.872 | 4.688 | -1.1836 |
TZAEastern Africa | 5.803 | 4.419 | -1.3838 |
SVNSouthern Europe | 5.468 | 3.835 | -1.6328 |
PANCentral America | 5.117 | 3.398 | -1.7194 |
KGZCentral Asia | 4.776 | 2.469 | -2.3067 |
SENWestern Africa | 4.687 | 3.469 | -1.2180 |
MLTSouthern Europe | 4.331 | 0.450 | -3.8805 |
ESTNorthern Europe | 4.163 | 3.354 | -0.8098 |
LVANorthern Europe | 4.114 | 2.083 | -2.0305 |
CIVWestern Africa | 3.932 | 2.876 | -1.0553 |
CRICentral America | 3.917 | 2.091 | -1.8263 |
GEOWestern Asia | 3.819 | 2.870 | -0.9482 |
BWASouthern Africa | 3.743 | 2.043 | -1.7003 |
LAOSouth-eastern Asia | 3.664 | 5.005 | 1.3412 |
PRYSouth America | 3.593 | 2.257 | -1.3365 |
MOZEastern Africa | 3.535 | 1.937 | -1.5975 |
TJKCentral Asia | 3.243 | 2.378 | -0.8648 |
ZWEEastern Africa | 3.173 | 2.802 | -0.3711 |
ZMBEastern Africa | 3.041 | 2.414 | -0.6266 |
SLVCentral America | 2.886 | 2.084 | -0.8027 |
URYSouth America | 2.602 | 1.749 | -0.8533 |
NAMSouthern Africa | 2.550 | 1.018 | -1.5322 |
CMRMiddle Africa | 2.538 | 2.622 | 0.0832 |
CYPWestern Asia | 2.526 | 1.999 | -0.5270 |
JAMCaribbean | 2.487 | 2.576 | 0.0891 |
HNDCentral America | 2.475 | 2.992 | 0.5174 |
LUXWestern Europe | 2.310 | 2.661 | 0.3510 |
BRNSouth-eastern Asia | 2.236 | 2.610 | 0.3742 |
ARMWestern Asia | 2.230 | 1.715 | -0.5146 |
TGOWestern Africa | 2.181 | 0.645 | -1.5361 |
UGAEastern Africa | 2.121 | 1.572 | -0.5483 |
MUSEastern Africa | 2.000 | 1.235 | -0.7649 |
NICCentral America | 1.919 | 1.421 | -0.4980 |
BENWestern Africa | 1.893 | 1.439 | -0.4536 |
GINWestern Africa | 1.671 | 1.120 | -0.5512 |
ALBSouthern Europe | 1.643 | 1.348 | -0.2948 |
MDGEastern Africa | 1.572 | 1.132 | -0.4402 |
BFAWestern Africa | 1.390 | 1.533 | 0.1436 |
MWIEastern Africa | 0.740 | 0.463 | -0.2772 |
RWAEastern Africa | 0.737 | 0.386 | -0.3513 |
02In 2019
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
China2,665.689
United States1,522.947
India618.803
Russia351.071
Japan339.978
Lowest
Rwanda0.737
Malawi0.740
Burkina Faso1.390
Madagascar1.572
Albania1.643
Neither end is better. The values describe a shape, not a score. The middle country reads 12.199. “Shared” marks a value another country also holds.
Each measure’s ends
Territorial fossil CO₂ (million tonnes of carbon)
Highest
China2,923.994
Lowest
Rwanda0.386
Middle country: 11.031
Emissions transferred through trade (million tonnes of carbon)
Highest
China258.3053
Lowest
United States-93.9314
Middle country: -1.4710
032018 → 2019
Since 2018
- +0 / −0countries joined / left
- 120values changed, of 120 in both
- 53 · 67rose · fell
- 0unchanged
Rose most
China2,577.356 → 2,665.689+88.333
Iran143.619 → 167.769+24.150
Indonesia165.623 → 181.280+15.657
Saudi Arabia168.125 → 183.459+15.334
Vietnam51.569 → 66.830+15.261
Fell most
United States1,551.457 → 1,522.947−28.510
Germany243.488 → 231.005−12.483
Türkiye122.353 → 114.310−8.044
Japan347.783 → 339.978−7.805
United Kingdom148.812 → 143.213−5.598
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 2019.
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-co2-2019-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 (2019). Consumption-Based CO₂ Emissions, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/consumption-co2/2019
0634 held
Other years
‹ The year before
Consumption-Based CO₂ Emissions, 2018120 countries
The year after ›
Consumption-Based CO₂ Emissions, 2020120 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