Data for 2008
Consumption-Based CO₂ Emissions, 2008
2008, 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, 2008 covers 120 countries on 3 measures. United States is highest, at 1,697.0728; Panama is lowest, at -0.0318. The middle country reads 12.4953. Against 2007, 120 values changed (80 up, 40 down), the same countries are covered.
Consumption-Based CO₂ Emissions · Data for 2008
HighestUnited States
1,697.0728LowestPanama
-0.0318Shaded 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, 2008, 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
USANorthern America | 1,697.0728 | 1,615.508 | -81.5649 |
CHNEastern Asia | 1,606.9799 | 2,044.870 | 437.8903 |
JPNEastern Asia | 400.2506 | 335.340 | -64.9103 |
INDSouthern Asia | 374.6710 | 406.759 | 32.0884 |
RUSEastern Europe | 362.2415 | 451.073 | 88.8315 |
DEUWestern Europe | 282.9944 | 233.800 | -49.1945 |
GBRNorthern Europe | 199.6511 | 148.726 | -50.9250 |
KOREastern Asia | 175.8794 | 145.374 | -30.5053 |
ITASouthern Europe | 164.0301 | 130.495 | -33.5355 |
CANNorthern America | 163.8661 | 156.718 | -7.1482 |
FRAWestern Europe | 148.2367 | 106.385 | -41.8518 |
MEXCentral America | 144.4014 | 129.089 | -15.3126 |
IRNSouthern Asia | 138.8030 | 144.249 | 5.4459 |
BRASouth America | 121.6055 | 112.619 | -8.9860 |
SAUWestern Asia | 116.2244 | 128.120 | 11.8952 |
ESPSouthern Europe | 109.6935 | 91.508 | -18.1857 |
IDNSouth-eastern Asia | 101.9170 | 99.723 | -2.1943 |
AUSAustralia and New Zealand | 101.6589 | 110.338 | 8.6793 |
TURWestern Asia | 98.1791 | 85.324 | -12.8548 |
ZAFSouthern Africa | 92.9853 | 135.009 | 42.0236 |
POLEastern Europe | 88.0481 | 89.910 | 1.8614 |
UKREastern Europe | 79.5374 | 88.969 | 9.4318 |
TWNEastern Asia | 75.9280 | 72.864 | -3.0636 |
THASouth-eastern Asia | 64.1091 | 61.203 | -2.9058 |
BELWestern Europe | 63.3424 | 32.807 | -30.5356 |
AREWestern Asia | 60.4052 | 42.312 | -18.0934 |
NLDWestern Europe | 54.1789 | 48.009 | -6.1702 |
EGYNorthern Africa | 50.2493 | 53.455 | 3.2059 |
ARGSouth America | 48.7196 | 51.200 | 2.4801 |
KAZCentral Asia | 48.2221 | 61.709 | 13.4870 |
SGPSouth-eastern Asia | 47.7942 | 10.972 | -36.8226 |
MYSSouth-eastern Asia | 46.9088 | 52.633 | 5.7241 |
PAKSouthern Asia | 44.9986 | 40.366 | -4.6325 |
GRCSouthern Europe | 35.8303 | 30.317 | -5.5137 |
CZEEastern Europe | 34.9025 | 33.550 | -1.3524 |
VENSouth America | 32.7812 | 42.510 | 9.7293 |
PRTSouthern Europe | 31.9573 | 16.378 | -15.5791 |
ROUEastern Europe | 31.4366 | 29.202 | -2.2343 |
CHEWestern Europe | 30.3234 | 12.200 | -18.1234 |
PHLSouth-eastern Asia | 27.7613 | 20.907 | -6.8538 |
AUTWestern Europe | 27.3199 | 20.051 | -7.2690 |
HUNEastern Europe | 27.2034 | 15.607 | -11.5963 |
HKGEastern Asia | 26.3453 | 11.680 | -14.6657 |
ISRWestern Asia | 24.6504 | 18.554 | -6.0968 |
VNMSouth-eastern Asia | 24.5802 | 31.195 | 6.6151 |
SWENorthern Europe | 23.6666 | 13.855 | -9.8114 |
CHLSouth America | 23.0553 | 19.255 | -3.8006 |
FINNorthern Europe | 22.9915 | 16.000 | -6.9912 |
NGAWestern Africa | 22.5380 | 23.605 | 1.0671 |
COLSouth America | 22.1507 | 18.281 | -3.8695 |
KWTWestern Asia | 21.6043 | 23.046 | 1.4422 |
DNKNorthern Europe | 19.1720 | 13.989 | -5.1829 |
IRLNorthern Europe | 17.4656 | 12.926 | -4.5396 |
MARNorthern Africa | 16.6938 | 14.021 | -2.6729 |
NORNorthern Europe | 15.6822 | 12.198 | -3.4847 |
BGREastern Europe | 15.1849 | 14.745 | -0.4399 |
BLREastern Europe | 14.9642 | 17.176 | 2.2113 |
SVKEastern Europe | 13.9205 | 11.306 | -2.6145 |
OMNWestern Asia | 13.4818 | 12.946 | -0.5353 |
PERSouth America | 12.7666 | 9.709 | -3.0580 |
BGDSouthern Asia | 12.2239 | 12.375 | 0.1510 |
QATWestern Asia | 11.8528 | 16.886 | 5.0334 |
NZLAustralia and New Zealand | 11.7925 | 10.231 | -1.5618 |
ECUSouth America | 9.7650 | 8.321 | -1.4442 |
HRVSouthern Europe | 9.5894 | 6.418 | -3.1713 |
AZEWestern Asia | 9.4449 | 9.017 | -0.4284 |
DOMCaribbean | 8.4907 | 5.523 | -2.9682 |
JORWestern Asia | 8.1409 | 5.728 | -2.4129 |
SVNSouthern Europe | 6.4662 | 4.990 | -1.4758 |
LTUNorthern Europe | 6.2673 | 4.072 | -2.1956 |
LKASouthern Asia | 5.8468 | 3.179 | -2.6677 |
TTOCaribbean | 5.3894 | 12.130 | 6.7401 |
ESTNorthern Europe | 4.9578 | 4.862 | -0.0956 |
KGZCentral Asia | 4.6226 | 2.042 | -2.5809 |
TUNNorthern Africa | 4.5906 | 6.947 | 2.3562 |
BHRWestern Asia | 4.5871 | 8.058 | 3.4709 |
LVANorthern Europe | 4.5177 | 2.237 | -2.2803 |
KENEastern Africa | 4.3693 | 2.756 | -1.6131 |
LUXWestern Europe | 4.0633 | 3.048 | -1.0156 |
HNDCentral America | 4.0535 | 2.329 | -1.7247 |
KHMSouth-eastern Asia | 3.9987 | 1.074 | -2.9244 |
GHAWestern Africa | 3.9345 | 2.272 | -1.6626 |
CRICentral America | 3.7845 | 2.165 | -1.6191 |
MNGEastern Asia | 3.6150 | 3.253 | -0.3624 |
BOLSouth America | 3.2479 | 3.556 | 0.3077 |
URYSouth America | 3.1889 | 2.243 | -0.9461 |
TZAEastern Africa | 3.0627 | 1.634 | -1.4283 |
CYPWestern Asia | 2.9675 | 2.372 | -0.5954 |
ZWEEastern Africa | 2.7359 | 2.107 | -0.6289 |
GTMCentral America | 2.7215 | 2.930 | 0.2083 |
GEOWestern Asia | 2.5795 | 1.568 | -1.0111 |
SLVCentral America | 2.5589 | 1.740 | -0.8191 |
CMRMiddle Africa | 2.4623 | 1.998 | -0.4643 |
BENWestern Africa | 2.3214 | 1.070 | -1.2518 |
MOZEastern Africa | 2.2812 | 0.595 | -1.6863 |
PRYSouth America | 2.1282 | 1.165 | -0.9629 |
TJKCentral Asia | 2.1095 | 0.791 | -1.3188 |
CIVWestern Africa | 1.9854 | 1.832 | -0.1533 |
ARMWestern Asia | 1.9852 | 1.522 | -0.4637 |
SENWestern Africa | 1.9826 | 1.294 | -0.6888 |
JAMCaribbean | 1.9745 | 2.941 | 0.9665 |
ZMBEastern Africa | 1.8911 | 0.697 | -1.1943 |
MLTSouthern Europe | 1.8701 | 0.743 | -1.1274 |
BRNSouth-eastern Asia | 1.8666 | 2.502 | 0.6349 |
ALBSouthern Europe | 1.8087 | 1.214 | -0.5946 |
NPLSouthern Asia | 1.7664 | 0.916 | -0.8506 |
MUSEastern Africa | 1.7137 | 1.028 | -0.6857 |
NICCentral America | 1.5989 | 1.188 | -0.4108 |
ETHEastern Africa | 1.4114 | 1.752 | 0.3401 |
UGAEastern Africa | 1.2190 | 0.759 | -0.4604 |
MDGEastern Africa | 1.1776 | 0.488 | -0.6898 |
LAOSouth-eastern Asia | 1.1644 | 0.582 | -0.5827 |
BWASouthern Africa | 1.1197 | 1.229 | 0.1093 |
NAMSouthern Africa | 0.9181 | 0.780 | -0.1381 |
BFAWestern Africa | 0.5318 | 0.496 | -0.0356 |
GINWestern Africa | 0.4517 | 0.536 | 0.0843 |
TGOWestern Africa | 0.3361 | 0.416 | 0.0795 |
MWIEastern Africa | 0.2395 | 0.273 | 0.0331 |
RWAEastern Africa | 0.1579 | 0.145 | -0.0128 |
PANCentral America | -0.0318 | 1.858 | 1.8901 |
02In 2008
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
United States1,697.0728
China1,606.9799
Japan400.2506
India374.6710
Russia362.2415
Neither end is better. The values describe a shape, not a score. The middle country reads 12.4953. “Shared” marks a value another country also holds.
Each measure’s ends
Territorial fossil CO₂ (million tonnes of carbon)
Highest
China2,044.870
Lowest
Rwanda0.145
Middle country: 11.493
Emissions transferred through trade (million tonnes of carbon)
Highest
China437.8903
Lowest
United States-81.5649
Middle country: -1.1609
032007 → 2008
Since 2007
- +0 / −0countries joined / left
- 120values changed, of 120 in both
- 80 · 40rose · fell
- 0unchanged
Rose most
China1,492.5383 → 1,606.9799+114.4416
India352.3723 → 374.6710+22.2988
Brazil107.5466 → 121.6055+14.0589
Singapore34.9089 → 47.7942+12.8853
Saudi Arabia104.3237 → 116.2244+11.9008
Fell most
United States1,781.3120 → 1,697.0728−84.2392
United Kingdom208.7818 → 199.6511−9.1307
Spain118.2879 → 109.6935−8.5945
Japan405.7002 → 400.2506−5.4497
Canada168.6542 → 163.8661−4.7881
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 2008.
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-co2-2008-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 (2008). Consumption-Based CO₂ Emissions, 2008 [data set], describing 2008. As held by Nations Inquiry, https://nationsinquiry.com/datasets/consumption-co2/2008
0634 held
Other years
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Consumption-Based CO₂ Emissions, 2007120 countries
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Consumption-Based CO₂ Emissions, 2009120 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