Data for 1998
Consumption-Based CO₂ Emissions, 1998
1998, 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, 1998 covers 119 countries on 3 measures. United States is highest, at 1,593.5841; Rwanda is lowest, at 0.1357. The middle country reads 8.4110. Against 1997, 119 values changed (84 up, 35 down), the same countries are covered.
Consumption-Based CO₂ Emissions · Data for 1998
HighestUnited States
1,593.5841LowestRwanda
0.1357Shaded 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, 1998, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 119 countries · select a heading to sort
USANorthern America | 1,593.5841 | 1,565.60045 | -27.9837 |
CHNEastern Asia | 818.0544 | 915.75763 | 97.7032 |
JPNEastern Asia | 389.1687 | 327.87511 | -61.2935 |
DEUWestern Europe | 298.3919 | 252.04657 | -46.3454 |
RUSEastern Europe | 285.0128 | 400.07060 | 115.0578 |
INDSouthern Asia | 222.1866 | 239.02385 | 16.8372 |
GBRNorthern Europe | 188.8482 | 155.17022 | -33.6780 |
CANNorthern America | 153.0509 | 144.54552 | -8.5054 |
ITASouthern Europe | 150.3708 | 125.77084 | -24.6000 |
FRAWestern Europe | 137.1621 | 113.08870 | -24.0734 |
MEXCentral America | 111.1727 | 104.01250 | -7.1602 |
ZAFSouthern Africa | 102.9676 | 102.96764 | 0.0000 |
KOREastern Asia | 100.2918 | 103.17625 | 2.8844 |
BRASouth America | 92.8300 | 86.61557 | -6.2144 |
ESPSouthern Europe | 80.8204 | 74.68609 | -6.1343 |
POLEastern Europe | 80.6087 | 92.51639 | 11.9077 |
AUSAustralia and New Zealand | 80.1751 | 91.16751 | 10.9924 |
IRNSouthern Asia | 79.0659 | 83.41748 | 4.3516 |
UKREastern Europe | 68.5515 | 89.75928 | 21.2077 |
TWNEastern Asia | 65.8372 | 54.73417 | -11.1031 |
TURWestern Asia | 62.3294 | 58.83893 | -3.4905 |
SAUWestern Asia | 62.1549 | 59.74753 | -2.4073 |
NLDWestern Europe | 50.6852 | 48.14306 | -2.5421 |
ARGSouth America | 40.6500 | 38.07459 | -2.5754 |
IDNSouth-eastern Asia | 40.6051 | 66.67995 | 26.0748 |
BELWestern Europe | 35.5502 | 35.55015 | 0.0000 |
THASouth-eastern Asia | 35.0030 | 43.58734 | 8.5844 |
EGYNorthern Africa | 34.7995 | 33.91274 | -0.8868 |
KAZCentral Asia | 32.2238 | 39.74396 | 7.5202 |
VENSouth America | 31.7796 | 36.84312 | 5.0635 |
CZEEastern Europe | 31.3711 | 34.31135 | 2.9402 |
CHEWestern Europe | 29.3535 | 12.17862 | -17.1749 |
GRCSouthern Europe | 28.8042 | 26.91631 | -1.8879 |
AREWestern Asia | 26.5852 | 22.00451 | -4.5807 |
PAKSouthern Asia | 26.5046 | 26.40304 | -0.1016 |
AUTWestern Europe | 26.3904 | 18.26881 | -8.1216 |
ROUEastern Europe | 23.7912 | 28.59810 | 4.8069 |
SWENorthern Europe | 23.6053 | 16.03908 | -7.5663 |
NGAWestern Africa | 23.5120 | 23.56392 | 0.0519 |
HKGEastern Asia | 22.7038 | 10.62363 | -12.0802 |
MYSSouth-eastern Asia | 21.6309 | 29.96225 | 8.3314 |
HUNEastern Europe | 21.3367 | 16.71818 | -4.6186 |
PHLSouth-eastern Asia | 20.9673 | 18.38938 | -2.5780 |
PRTSouthern Europe | 20.8207 | 16.16017 | -4.6605 |
ISRWestern Asia | 20.3033 | 15.28651 | -5.0167 |
COLSouth America | 19.3556 | 17.89290 | -1.4627 |
FINNorthern Europe | 18.8938 | 16.20033 | -2.6935 |
DNKNorthern Europe | 18.7253 | 16.71351 | -2.0118 |
SGPSouth-eastern Asia | 17.5720 | 12.94000 | -4.6320 |
CHLSouth America | 16.4138 | 15.62730 | -0.7865 |
KWTWestern Asia | 13.7333 | 14.44061 | 0.7074 |
BLREastern Europe | 13.6195 | 16.42577 | 2.8063 |
IRLNorthern Europe | 13.3423 | 11.11038 | -2.2319 |
VNMSouth-eastern Asia | 12.9362 | 13.06396 | 0.1278 |
SVKEastern Europe | 12.4771 | 11.97531 | -0.5018 |
BGREastern Europe | 12.1862 | 14.49613 | 2.3100 |
MARNorthern Africa | 9.3745 | 8.42826 | -0.9462 |
PERSouth America | 8.6978 | 7.65989 | -1.0379 |
NZLAustralia and New Zealand | 8.5359 | 8.14336 | -0.3926 |
QATWestern Asia | 8.4110 | 10.08734 | 1.6763 |
AZEWestern Asia | 8.3161 | 8.67491 | 0.3588 |
ECUSouth America | 6.2595 | 6.30914 | 0.0497 |
LTUNorthern Europe | 6.0549 | 4.36601 | -1.6889 |
SVNSouthern Europe | 6.0057 | 4.37898 | -1.6267 |
BGDSouthern Asia | 5.6301 | 6.33628 | 0.7062 |
HRVSouthern Europe | 5.4853 | 5.19651 | -0.2888 |
OMNWestern Asia | 5.4024 | 5.06089 | -0.3415 |
JORWestern Asia | 4.9021 | 3.94307 | -0.9590 |
BHRWestern Asia | 4.3600 | 4.98800 | 0.6280 |
ESTNorthern Europe | 4.3331 | 4.62148 | 0.2883 |
LVANorthern Europe | 3.6400 | 2.26693 | -1.3731 |
DOMCaribbean | 3.5875 | 4.84616 | 1.2587 |
TTOCaribbean | 3.5758 | 5.42911 | 1.8533 |
TUNNorthern Africa | 3.4663 | 4.99240 | 1.5261 |
KENEastern Africa | 3.2412 | 2.72885 | -0.5123 |
BOLSouth America | 2.8800 | 3.07425 | 0.1943 |
ZWEEastern Africa | 2.6736 | 3.85575 | 1.1821 |
GHAWestern Africa | 2.5876 | 1.52400 | -1.0636 |
CIVWestern Africa | 2.2222 | 1.84175 | -0.3804 |
SLVCentral America | 2.1305 | 1.55874 | -0.5718 |
URYSouth America | 2.1058 | 1.54230 | -0.5635 |
LUXWestern Europe | 2.0897 | 2.08975 | 0.0000 |
CRICentral America | 2.0235 | 1.42297 | -0.6006 |
GTMCentral America | 1.9742 | 2.35269 | 0.3785 |
JAMCaribbean | 1.9404 | 2.64575 | 0.7054 |
GEOWestern Asia | 1.9305 | 1.32738 | -0.6032 |
MNGEastern Asia | 1.8072 | 2.08011 | 0.2729 |
CMRMiddle Africa | 1.7503 | 1.46648 | -0.2838 |
CYPWestern Asia | 1.7220 | 1.80045 | 0.0785 |
KGZCentral Asia | 1.7110 | 1.61053 | -0.1005 |
LKASouthern Asia | 1.5429 | 2.08006 | 0.5372 |
PRYSouth America | 1.4855 | 1.19370 | -0.2918 |
BRNSouth-eastern Asia | 1.3778 | 1.52710 | 0.1493 |
ARMWestern Asia | 1.2386 | 0.93316 | -0.3054 |
PANCentral America | 1.2098 | 1.59255 | 0.3828 |
TJKCentral Asia | 1.1429 | 0.68139 | -0.4615 |
SENWestern Africa | 1.1034 | 0.90982 | -0.1935 |
MLTSouthern Europe | 1.0643 | 0.68912 | -0.3751 |
NICCentral America | 1.0322 | 0.92403 | -0.1082 |
TZAEastern Africa | 0.9876 | 0.67711 | -0.3105 |
BWASouthern Africa | 0.9120 | 0.91200 | 0.0000 |
ETHEastern Africa | 0.8567 | 0.85901 | 0.0023 |
HNDCentral America | 0.8356 | 1.31293 | 0.4773 |
MUSEastern Africa | 0.8240 | 0.59200 | -0.2320 |
KHMSouth-eastern Asia | 0.7808 | 0.51200 | -0.2688 |
ZMBEastern Africa | 0.6760 | 0.62185 | -0.0541 |
ALBSouthern Europe | 0.6641 | 0.47891 | -0.1852 |
NPLSouthern Asia | 0.5703 | 0.60680 | 0.0365 |
UGAEastern Africa | 0.5490 | 0.32990 | -0.2191 |
BENWestern Africa | 0.5393 | 0.30400 | -0.2353 |
MDGEastern Africa | 0.5353 | 0.44188 | -0.0934 |
NAMSouthern Africa | 0.5090 | 0.50900 | 0.0000 |
MOZEastern Africa | 0.3723 | 0.30346 | -0.0688 |
GINWestern Africa | 0.3564 | 0.35800 | 0.0016 |
BFAWestern Africa | 0.3500 | 0.23143 | -0.1185 |
LAOSouth-eastern Asia | 0.3497 | 0.22382 | -0.1259 |
TGOWestern Africa | 0.3165 | 0.35207 | 0.0356 |
MWIEastern Africa | 0.2809 | 0.24611 | -0.0348 |
RWAEastern Africa | 0.1357 | 0.13142 | -0.0043 |
02In 1998
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
United States1,593.5841
China818.0544
Japan389.1687
Germany298.3919
Russia285.0128
Lowest
Rwanda0.1357
Malawi0.2809
Togo0.3165
Laos0.3497
Burkina Faso0.3500
Neither end is better. The values describe a shape, not a score. The middle country reads 8.4110. “Shared” marks a value another country also holds.
Each measure’s ends
Territorial fossil CO₂ (million tonnes of carbon)
Highest
United States1,565.60045
Lowest
Rwanda0.13142
Middle country: 8.14336
Emissions transferred through trade (million tonnes of carbon)
Highest
Russia115.0578
Lowest
Japan-61.2935
Middle country: -0.1935
031997 → 1998
Since 1997
- +0 / −0countries joined / left
- 119values changed, of 119 in both
- 84 · 35rose · fell
- 0unchanged
Rose most
United States1,538.9288 → 1,593.5841+54.6553
Iran68.1032 → 79.0659+10.9627
United Kingdom180.4980 → 188.8482+8.3502
Mexico104.3406 → 111.1727+6.8321
France130.3954 → 137.1621+6.7667
Fell most
Russia323.9669 → 285.0128−38.9541
South Korea136.3511 → 100.2918−36.0593
China845.9556 → 818.0544−27.9012
Indonesia66.5956 → 40.6051−25.9904
Japan413.9681 → 389.1687−24.7994
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 1998.
Nothing missing
Every one of the 119 countries has every column.
05The files
Download and cite
- .csv
For a spreadsheet or code
119 rows · 8.7 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download consumption-co2-1998-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 (1998). Consumption-Based CO₂ Emissions, 1998 [data set], describing 1998. As held by Nations Inquiry, https://nationsinquiry.com/datasets/consumption-co2/1998
0634 held
Other years
‹ The year before
Consumption-Based CO₂ Emissions, 1997119 countries
The year after ›
Consumption-Based CO₂ Emissions, 1999119 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