Data for 2003
Consumption-Based CO₂ Emissions, 2003
2003, 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, 2003 covers 120 countries on 3 measures. United States is highest, at 1,756.4142; Rwanda is lowest, at 0.1358. The middle country reads 10.0235. Against 2002, 119 values changed (91 up, 28 down), 1 country joined.
Consumption-Based CO₂ Emissions · Data for 2003
HighestUnited States
1,756.4142LowestRwanda
0.1358Shaded 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, 2003, 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 | 1,756.4142 | 1,639.312 | -117.1020 |
CHNEastern Asia | 1,097.0766 | 1,319.665 | 222.5883 |
JPNEastern Asia | 410.4067 | 350.394 | -60.0124 |
RUSEastern Europe | 319.3542 | 420.034 | 100.6803 |
DEUWestern Europe | 288.2343 | 244.132 | -44.1019 |
INDSouthern Asia | 268.9443 | 291.593 | 22.6491 |
GBRNorthern Europe | 208.2491 | 156.009 | -52.2396 |
ITASouthern Europe | 161.4624 | 135.124 | -26.3386 |
CANNorthern America | 159.8762 | 158.622 | -1.2543 |
KOREastern Asia | 149.9026 | 132.427 | -17.4755 |
FRAWestern Europe | 140.8905 | 112.715 | -28.1751 |
MEXCentral America | 128.0636 | 118.987 | -9.0765 |
ESPSouthern Europe | 100.6850 | 91.577 | -9.1078 |
IRNSouthern Asia | 98.3719 | 112.163 | 13.7915 |
AUSAustralia and New Zealand | 93.4783 | 101.197 | 7.7183 |
BRASouth America | 88.0559 | 94.062 | 6.0066 |
SAUWestern Asia | 86.5933 | 95.859 | 9.2658 |
IDNSouth-eastern Asia | 85.1967 | 92.528 | 7.3316 |
POLEastern Europe | 78.9608 | 86.990 | 8.0296 |
ZAFSouthern Africa | 75.0900 | 110.373 | 35.2828 |
TWNEastern Asia | 73.1043 | 67.994 | -5.1106 |
TURWestern Asia | 67.9466 | 65.461 | -2.4857 |
UKREastern Europe | 59.6958 | 83.855 | 24.1594 |
BELWestern Europe | 55.2042 | 35.014 | -20.1900 |
THASouth-eastern Asia | 51.1219 | 52.153 | 1.0309 |
NLDWestern Europe | 47.9548 | 49.173 | 1.2178 |
EGYNorthern Africa | 37.4804 | 40.926 | 3.4459 |
KAZCentral Asia | 35.7389 | 47.768 | 12.0291 |
MYSSouth-eastern Asia | 35.5221 | 41.863 | 6.3404 |
AREWestern Asia | 34.1383 | 29.232 | -4.9063 |
GRCSouthern Europe | 33.8524 | 29.767 | -4.0853 |
CZEEastern Europe | 33.3464 | 34.823 | 1.4767 |
PAKSouthern Asia | 32.9062 | 30.879 | -2.0269 |
ARGSouth America | 32.1233 | 36.687 | 4.5636 |
PRTSouthern Europe | 30.2524 | 17.599 | -12.6536 |
VENSouth America | 29.4545 | 42.130 | 12.6754 |
CHEWestern Europe | 27.6454 | 12.186 | -15.4591 |
SGPSouth-eastern Asia | 27.4267 | 10.790 | -16.6368 |
AUTWestern Europe | 27.2775 | 21.128 | -6.1498 |
ROUEastern Europe | 27.2510 | 28.304 | 1.0534 |
HKGEastern Asia | 25.7624 | 11.663 | -14.0994 |
FINNorthern Europe | 24.8463 | 19.830 | -5.0160 |
PHLSouth-eastern Asia | 24.7311 | 18.969 | -5.7625 |
HUNEastern Europe | 23.5857 | 16.815 | -6.7704 |
SWENorthern Europe | 23.0836 | 15.617 | -7.4665 |
ISRWestern Asia | 21.0377 | 17.035 | -4.0031 |
NGAWestern Africa | 20.6811 | 27.301 | 6.6195 |
DNKNorthern Europe | 18.5068 | 16.552 | -1.9551 |
IRLNorthern Europe | 17.6863 | 12.468 | -5.2180 |
COLSouth America | 16.3350 | 15.566 | -0.7691 |
VNMSouth-eastern Asia | 16.0053 | 21.087 | 5.0813 |
KWTWestern Asia | 15.5861 | 17.055 | 1.4693 |
CHLSouth America | 15.0142 | 15.038 | 0.0241 |
NORNorthern Europe | 13.2388 | 11.987 | -1.2521 |
BGREastern Europe | 12.7332 | 13.780 | 1.0471 |
BLREastern Europe | 11.5634 | 15.075 | 3.5119 |
SVKEastern Europe | 11.3392 | 11.561 | 0.2217 |
MARNorthern Africa | 11.0845 | 9.981 | -1.1036 |
NZLAustralia and New Zealand | 10.9139 | 9.885 | -1.0287 |
OMNWestern Asia | 10.4276 | 9.433 | -0.9944 |
BGDSouthern Asia | 9.6193 | 9.142 | -0.4774 |
AZEWestern Asia | 9.1559 | 8.321 | -0.8350 |
DOMCaribbean | 8.8019 | 5.803 | -2.9994 |
PERSouth America | 7.8748 | 6.800 | -1.0751 |
HRVSouthern Europe | 7.8170 | 6.339 | -1.4779 |
ECUSouth America | 7.8118 | 7.400 | -0.4120 |
QATWestern Asia | 6.4110 | 12.727 | 6.3158 |
JORWestern Asia | 5.9563 | 4.714 | -1.2420 |
LTUNorthern Europe | 5.9485 | 3.455 | -2.4934 |
ESTNorthern Europe | 5.8412 | 4.708 | -1.1330 |
SVNSouthern Europe | 5.4038 | 4.443 | -0.9611 |
LKASouthern Asia | 4.9494 | 2.937 | -2.0123 |
TTOCaribbean | 4.8107 | 8.835 | 4.0238 |
TUNNorthern Africa | 4.2671 | 5.743 | 1.4756 |
LVANorthern Europe | 3.9894 | 2.109 | -1.8808 |
ZWEEastern Africa | 3.4101 | 2.896 | -0.5145 |
BHRWestern Asia | 3.3043 | 5.725 | 2.4207 |
LUXWestern Europe | 3.1499 | 2.852 | -0.2976 |
CRICentral America | 2.8471 | 1.788 | -1.0591 |
KENEastern Africa | 2.8438 | 1.833 | -1.0108 |
BOLSouth America | 2.7465 | 2.998 | 0.2510 |
GHAWestern Africa | 2.7384 | 1.824 | -0.9140 |
GTMCentral America | 2.4642 | 2.842 | 0.3773 |
SLVCentral America | 2.4240 | 1.746 | -0.6784 |
CYPWestern Asia | 2.3971 | 2.064 | -0.3335 |
MNGEastern Asia | 2.3049 | 2.166 | -0.1394 |
KHMSouth-eastern Asia | 2.2150 | 0.615 | -1.6000 |
JAMCaribbean | 2.0714 | 2.911 | 0.8399 |
CMRMiddle Africa | 1.8376 | 1.557 | -0.2806 |
URYSouth America | 1.6624 | 1.238 | -0.4241 |
TZAEastern Africa | 1.6368 | 1.006 | -0.6305 |
SENWestern Africa | 1.6241 | 1.345 | -0.2793 |
KGZCentral Asia | 1.6239 | 1.467 | -0.1568 |
ALBSouthern Europe | 1.6223 | 1.175 | -0.4478 |
CIVWestern Africa | 1.6185 | 1.447 | -0.1718 |
TJKCentral Asia | 1.5813 | 0.565 | -1.0159 |
GEOWestern Asia | 1.5783 | 1.018 | -0.5601 |
BRNSouth-eastern Asia | 1.5347 | 1.676 | 0.1410 |
HNDCentral America | 1.4916 | 1.825 | 0.3334 |
MOZEastern Africa | 1.4799 | 0.506 | -0.9734 |
PRYSouth America | 1.4544 | 1.099 | -0.3557 |
MUSEastern Africa | 1.4065 | 0.835 | -0.5715 |
NICCentral America | 1.3969 | 1.176 | -0.2204 |
MLTSouthern Europe | 1.3311 | 0.808 | -0.5230 |
BENWestern Africa | 1.1504 | 0.653 | -0.4970 |
ARMWestern Asia | 1.1484 | 0.943 | -0.2053 |
ZMBEastern Africa | 1.0606 | 0.566 | -0.4945 |
ETHEastern Africa | 1.0491 | 1.329 | 0.2801 |
MDGEastern Africa | 0.8046 | 0.464 | -0.3408 |
BWASouthern Africa | 0.7537 | 1.044 | 0.2903 |
UGAEastern Africa | 0.7232 | 0.413 | -0.3104 |
GINWestern Africa | 0.7132 | 0.451 | -0.2622 |
NPLSouthern Asia | 0.6207 | 0.767 | 0.1463 |
LAOSouth-eastern Asia | 0.6093 | 0.333 | -0.2761 |
NAMSouthern Africa | 0.5224 | 0.571 | 0.0486 |
PANCentral America | 0.4767 | 1.618 | 1.1414 |
BFAWestern Africa | 0.3708 | 0.323 | -0.0476 |
TGOWestern Africa | 0.3033 | 0.493 | 0.1893 |
MWIEastern Africa | 0.2477 | 0.250 | 0.0020 |
RWAEastern Africa | 0.1358 | 0.138 | 0.0021 |
02In 2003
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
United States1,756.4142
China1,097.0766
Japan410.4067
Russia319.3542
Germany288.2343
Lowest
Rwanda0.1358
Malawi0.2477
Togo0.3033
Burkina Faso0.3708
Panama0.4767
Neither end is better. The values describe a shape, not a score. The middle country reads 10.0235. “Shared” marks a value another country also holds.
Each measure’s ends
Territorial fossil CO₂ (million tonnes of carbon)
Highest
United States1,639.312
Lowest
Rwanda0.138
Middle country: 9.659
Emissions transferred through trade (million tonnes of carbon)
Highest
China222.5883
Lowest
United States-117.1020
Middle country: -0.4181
032002 → 2003
Since 2002
- +1 / −0countries joined / left
- 119values changed, of 119 in both
- 91 · 28rose · fell
- 0unchanged
Rose most
China987.9109 → 1,097.0766+109.1657
United States1,712.2864 → 1,756.4142+44.1278
Saudi Arabia64.4157 → 86.5933+22.1776
Iran82.2399 → 98.3719+16.1319
Russia303.2353 → 319.3542+16.1189
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 2003.
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-co2-2003-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 (2003). Consumption-Based CO₂ Emissions, 2003 [data set], describing 2003. As held by Nations Inquiry, https://nationsinquiry.com/datasets/consumption-co2/2003
0634 held
Other years
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Consumption-Based CO₂ Emissions, 2002119 countries
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Consumption-Based CO₂ Emissions, 2004120 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