Data for 2016
Consumption-Based CO₂ Emissions, 2016
2016, 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, 2016 covers 120 countries on 3 measures. China is highest, at 2,366.842; Panama is lowest, at -0.082. The middle country reads 12.062. Against 2015, 120 values changed (78 up, 42 down), the same countries are covered.
Consumption-Based CO₂ Emissions · Data for 2016
HighestChina
2,366.842LowestPanama
-0.082Shaded 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, 2016, 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 | 2,366.842 | 2,660.53 | 293.6861 |
USANorthern America | 1,516.856 | 1,431.59 | -85.2615 |
INDSouthern Asia | 546.416 | 642.07 | 95.6523 |
JPNEastern Asia | 361.029 | 327.49 | -33.5367 |
RUSEastern Europe | 347.301 | 444.69 | 97.3843 |
DEUWestern Europe | 248.409 | 217.79 | -30.6175 |
KOREastern Asia | 182.701 | 174.10 | -8.5982 |
SAUWestern Asia | 174.647 | 174.99 | 0.3462 |
GBRNorthern Europe | 159.049 | 109.01 | -50.0342 |
MEXCentral America | 156.116 | 130.68 | -25.4317 |
IDNSouth-eastern Asia | 149.696 | 149.55 | -0.1413 |
CANNorthern America | 149.218 | 151.12 | 1.9025 |
IRNSouthern Asia | 145.068 | 175.95 | 30.8823 |
BRASouth America | 134.007 | 134.21 | 0.2033 |
ITASouthern Europe | 126.620 | 97.74 | -28.8766 |
FRAWestern Europe | 124.174 | 91.57 | -32.6081 |
TURWestern Asia | 119.467 | 110.69 | -8.7812 |
AUSAustralia and New Zealand | 106.417 | 111.81 | 5.3912 |
ZAFSouthern Africa | 96.716 | 124.74 | 28.0247 |
POLEastern Europe | 83.118 | 88.24 | 5.1189 |
THASouth-eastern Asia | 77.882 | 77.52 | -0.3587 |
TWNEastern Asia | 76.640 | 76.47 | -0.1674 |
ESPSouthern Europe | 75.242 | 70.84 | -4.4029 |
EGYNorthern Africa | 74.074 | 66.91 | -7.1625 |
AREWestern Asia | 70.689 | 62.20 | -8.4899 |
MYSSouth-eastern Asia | 66.285 | 64.76 | -1.5212 |
KAZCentral Asia | 62.286 | 82.35 | 20.0660 |
PAKSouthern Asia | 57.639 | 48.24 | -9.4015 |
BELWestern Europe | 56.596 | 27.24 | -29.3539 |
UKREastern Europe | 52.122 | 63.89 | 11.7710 |
ARGSouth America | 51.967 | 51.86 | -0.1059 |
VNMSouth-eastern Asia | 47.325 | 60.32 | 12.9985 |
CHEWestern Europe | 46.617 | 10.71 | -35.9115 |
NLDWestern Europe | 46.159 | 44.98 | -1.1779 |
PHLSouth-eastern Asia | 44.902 | 32.81 | -12.0922 |
SGPSouth-eastern Asia | 44.146 | 13.40 | -30.7448 |
BGDSouthern Asia | 34.548 | 22.31 | -12.2333 |
NGAWestern Africa | 34.206 | 31.77 | -2.4388 |
HKGEastern Asia | 33.491 | 11.84 | -21.6555 |
CZEEastern Europe | 29.454 | 29.10 | -0.3499 |
COLSouth America | 29.408 | 25.00 | -4.4126 |
KWTWestern Asia | 29.320 | 28.39 | -0.9304 |
VENSouth America | 28.661 | 41.68 | 13.0243 |
CHLSouth America | 24.244 | 22.99 | -1.2500 |
AUTWestern Europe | 24.218 | 18.35 | -5.8722 |
ISRWestern Asia | 23.968 | 16.69 | -7.2746 |
ROUEastern Europe | 21.719 | 20.90 | -0.8168 |
QATWestern Asia | 20.853 | 24.94 | 4.0861 |
GRCSouthern Europe | 20.708 | 19.48 | -1.2323 |
OMNWestern Asia | 20.287 | 18.08 | -2.2085 |
SWENorthern Europe | 19.192 | 11.82 | -7.3724 |
PERSouth America | 18.141 | 14.38 | -3.7580 |
BLREastern Europe | 18.098 | 15.88 | -2.2171 |
MARNorthern Africa | 18.042 | 15.95 | -2.0874 |
HUNEastern Europe | 16.552 | 12.84 | -3.7142 |
FINNorthern Europe | 16.160 | 12.90 | -3.2640 |
PRTSouthern Europe | 15.095 | 13.73 | -1.3636 |
DNKNorthern Europe | 14.991 | 10.08 | -4.9156 |
NORNorthern Europe | 13.435 | 12.20 | -1.2331 |
IRLNorthern Europe | 12.250 | 11.02 | -1.2320 |
LKASouthern Asia | 11.874 | 6.10 | -5.7775 |
ECUSouth America | 11.171 | 10.75 | -0.4250 |
SVKEastern Europe | 11.093 | 9.55 | -1.5472 |
BGREastern Europe | 11.047 | 12.38 | 1.3285 |
NZLAustralia and New Zealand | 11.026 | 9.32 | -1.7095 |
JORWestern Asia | 10.390 | 6.81 | -3.5802 |
AZEWestern Asia | 9.143 | 9.48 | 0.3353 |
DOMCaribbean | 9.126 | 6.59 | -2.5371 |
KENEastern Africa | 7.836 | 4.45 | -3.3901 |
TTOCaribbean | 7.751 | 10.88 | 3.1301 |
KHMSouth-eastern Asia | 6.999 | 2.90 | -4.0937 |
TUNNorthern Africa | 6.619 | 8.45 | 1.8339 |
MNGEastern Asia | 6.450 | 6.99 | 0.5444 |
HRVSouthern Europe | 6.307 | 4.93 | -1.3730 |
BOLSouth America | 6.058 | 5.80 | -0.2585 |
GHAWestern Africa | 5.967 | 3.80 | -2.1691 |
LTUNorthern Europe | 5.909 | 3.58 | -2.3331 |
BHRWestern Asia | 5.434 | 8.63 | 3.2004 |
TZAEastern Africa | 5.260 | 3.69 | -1.5674 |
SVNSouthern Europe | 4.929 | 3.95 | -0.9800 |
KGZCentral Asia | 4.887 | 2.63 | -2.2612 |
ESTNorthern Europe | 4.669 | 4.76 | 0.0886 |
MOZEastern Africa | 4.265 | 2.33 | -1.9325 |
MLTSouthern Europe | 4.217 | 0.38 | -3.8417 |
CIVWestern Africa | 4.020 | 3.27 | -0.7504 |
SENWestern Africa | 3.923 | 2.73 | -1.1900 |
TJKCentral Asia | 3.804 | 1.64 | -2.1620 |
CRICentral America | 3.803 | 2.14 | -1.6666 |
BWASouthern Africa | 3.716 | 1.73 | -1.9858 |
GTMCentral America | 3.691 | 4.51 | 0.8185 |
ZWEEastern Africa | 3.613 | 2.89 | -0.7234 |
GEOWestern Asia | 3.599 | 2.74 | -0.8578 |
ETHEastern Africa | 3.525 | 3.91 | 0.3838 |
LVANorthern Europe | 3.400 | 1.97 | -1.4316 |
NAMSouthern Africa | 3.092 | 0.98 | -2.1140 |
CMRMiddle Africa | 2.997 | 2.72 | -0.2771 |
PRYSouth America | 2.987 | 1.96 | -1.0258 |
SLVCentral America | 2.548 | 1.79 | -0.7547 |
ZMBEastern Africa | 2.528 | 1.63 | -0.8964 |
LUXWestern Europe | 2.434 | 2.48 | 0.0435 |
CYPWestern Asia | 2.420 | 2.01 | -0.4136 |
URYSouth America | 2.418 | 1.78 | -0.6386 |
NPLSouthern Asia | 2.393 | 2.75 | 0.3602 |
HNDCentral America | 2.176 | 2.71 | 0.5364 |
NICCentral America | 2.119 | 1.47 | -0.6510 |
BENWestern Africa | 2.096 | 1.45 | -0.6468 |
LAOSouth-eastern Asia | 2.089 | 4.48 | 2.3883 |
JAMCaribbean | 1.955 | 2.22 | 0.2649 |
UGAEastern Africa | 1.858 | 1.31 | -0.5433 |
MUSEastern Africa | 1.755 | 1.19 | -0.5702 |
BRNSouth-eastern Asia | 1.680 | 2.08 | 0.4035 |
ARMWestern Asia | 1.642 | 1.42 | -0.2213 |
ALBSouthern Europe | 1.596 | 1.24 | -0.3531 |
GINWestern Africa | 1.478 | 0.74 | -0.7414 |
MDGEastern Africa | 1.384 | 0.89 | -0.4950 |
BFAWestern Africa | 1.085 | 1.09 | 0.0036 |
TGOWestern Africa | 0.621 | 0.63 | 0.0051 |
RWAEastern Africa | 0.299 | 0.29 | -0.0122 |
MWIEastern Africa | 0.264 | 0.32 | 0.0557 |
PANCentral America | -0.082 | 2.82 | 2.9022 |
02In 2016
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
China2,366.842
United States1,516.856
India546.416
Japan361.029
Russia347.301
Lowest
Panama-0.082
Malawi0.264
Rwanda0.299
Togo0.621
Burkina Faso1.085
Neither end is better. The values describe a shape, not a score. The middle country reads 12.062. “Shared” marks a value another country also holds.
Each measure’s ends
Territorial fossil CO₂ (million tonnes of carbon)
Highest
China2,660.53
Lowest
Rwanda0.29
Middle country: 10.81
Emissions transferred through trade (million tonnes of carbon)
Highest
China293.6861
Lowest
United States-85.2615
Middle country: -0.9552
032015 → 2016
Since 2015
- +0 / −0countries joined / left
- 120values changed, of 120 in both
- 78 · 42rose · fell
- 0unchanged
Rose most
Bangladesh20.968 → 34.548+13.580
India535.222 → 546.416+11.195
Pakistan46.842 → 57.639+10.796
Ukraine45.701 → 52.122+6.421
Philippines39.333 → 44.902+5.570
Fell most
United States1,553.910 → 1,516.856−37.055
China2,398.948 → 2,366.842−32.106
Brazil151.803 → 134.007−17.796
Iran160.306 → 145.068−15.238
Canada156.439 → 149.218−7.221
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 2016.
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-co2-2016-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 (2016). Consumption-Based CO₂ Emissions, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/consumption-co2/2016
0634 held
Other years
‹ The year before
Consumption-Based CO₂ Emissions, 2015120 countries
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Consumption-Based CO₂ Emissions, 2017120 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