Data for 2017
Environmentally Related Tax Revenue, 2017
2017, as OECD’s 2026 release gives it · stored as published, never rewritten
Environmentally Related Tax Revenue, 2017 covers 135 countries on 5 measures. Solomon Islands is highest, at 5.43764; 7 countries share the lowest reading, 0.00000. The middle country reads 1.29042. Against 2016, 128 values changed (58 up, 70 down), 1 left.
Environmentally Related Tax Revenue · Data for 2017
HighestSolomon Islands
5.43764Lowest7 countries share it
0.00000Shaded by value in five groups of equal size, darkest at the highest end. Neither end is better. The values describe a shape, not a score.
01Values only
The table
Every country and every column of Environmentally Related Tax Revenue, 2017, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 135 countries · select a heading to sort
| 5.43764 | 0.000000 | 0.000000 | 0.000000 | 5.437642 | — | |
| 4.48694 | 2.863558 | 1.623384 | 0.000000 | 0.000000 | — | |
| 4.48162 | 3.656619 | 0.371545 | 0.356021 | 0.097437 | — | |
| 4.16599 | 3.190031 | 0.960863 | 0.000568 | 0.014529 | Low reliability | |
| 4.02561 | 3.232959 | 0.792655 | — | 0.000000 | Estimated value | |
| 3.67860 | 1.991488 | 1.510119 | 0.095995 | 0.080997 | Low reliability | |
| 3.67032 | 3.131014 | 0.433741 | 0.003721 | 0.101848 | Low reliability | |
| 3.30953 | 1.823373 | 1.045466 | 0.180326 | 0.260368 | — | |
| 3.30629 | 2.685479 | 0.607168 | 0.013643 | 0.000000 | Low reliability | |
| 3.27706 | 2.217787 | 0.885543 | 0.173728 | 0.000000 | — | |
| 3.26669 | 1.119582 | 0.307328 | 0.000000 | 1.839781 | — | |
| 3.07601 | 2.018150 | 1.057857 | 0.000000 | 0.000000 | — | |
| 2.99570 | 2.366038 | 0.606032 | 0.000000 | 0.023631 | — | |
| 2.97856 | 1.985706 | 0.968821 | 0.014241 | 0.009791 | Low reliability | |
| 2.92711 | 2.167841 | 0.331242 | 0.410441 | 0.017590 | Low reliability | |
| 2.81957 | 2.510434 | 0.027800 | 0.216852 | 0.064480 | — | |
| 2.78513 | 2.440439 | 0.285858 | 0.003658 | 0.055171 | Low reliability | |
| 2.70810 | 2.347996 | 0.122678 | 0.237429 | 0.000000 | — | |
| 2.70231 | 2.051043 | 0.342488 | 0.255403 | 0.053374 | Low reliability | |
| 2.68060 | 2.217891 | 0.262701 | 0.196806 | 0.003201 | — | |
| 2.62254 | 1.900488 | 0.703018 | 0.005927 | 0.013109 | — | |
| 2.52296 | 0.770304 | 1.602132 | 0.132466 | 0.018057 | — | |
| 2.51462 | 2.162085 | 0.223734 | 0.024589 | 0.104215 | Low reliability | |
| 2.49069 | 1.508250 | 0.958933 | 0.017016 | 0.006494 | Low reliability | |
| 2.41752 | 1.228867 | 0.986377 | 0.193794 | 0.008487 | — | |
| 2.37882 | 1.507337 | 0.838165 | 0.001649 | 0.031672 | Low reliability | |
| 2.36515 | 2.350540 | 0.000000 | 0.000000 | 0.014612 | — | |
| 2.36471 | 1.870670 | 0.429385 | 0.036893 | 0.027758 | — | |
| 2.36365 | 1.866864 | 0.345191 | 0.119574 | 0.032025 | Low reliability | |
| 2.30078 | 1.516550 | 0.717306 | 0.040261 | 0.026665 | Low reliability | |
| 2.29065 | 1.761759 | 0.466760 | 0.043105 | 0.019025 | Low reliability | |
| 2.27680 | 1.888562 | 0.000000 | 0.388241 | 0.000000 | — | |
| 2.23686 | 2.095511 | 0.138536 | 0.002818 | — | Estimated value | |
| 2.16071 | 1.684067 | 0.435486 | 0.037311 | 0.003843 | Low reliability | |
| 2.15871 | 1.058621 | 0.760167 | 0.337310 | 0.002615 | Low reliability | |
| 2.14476 | 0.822268 | 1.322488 | 0.000000 | 0.000000 | — | |
| 1.96548 | 1.790873 | 0.046019 | 0.036006 | 0.092585 | Low reliability | |
| 1.94034 | 1.012852 | 0.847306 | 0.077189 | 0.002996 | Low reliability | |
| 1.93521 | 1.600381 | 0.312856 | 0.019941 | 0.002029 | Low reliability | |
| 1.92962 | 0.996685 | 0.836265 | 0.051612 | 0.045053 | Low reliability | |
| 1.91125 | 1.696147 | 0.214829 | 0.000000 | 0.000274 | — | |
| 1.89313 | 1.430062 | 0.463067 | 0.000000 | 0.000000 | — | |
| 1.86990 | 1.228974 | 0.128057 | 0.098487 | 0.414382 | — | |
| 1.83303 | 0.514224 | 1.318802 | 0.000000 | 0.000000 | — | |
| 1.82783 | 1.485269 | 0.234696 | 0.062977 | 0.044883 | Low reliability | |
| 1.81574 | 1.601285 | 0.131321 | 0.083138 | 0.000000 | — | |
| 1.80269 | 1.267957 | 0.534738 | 0.000000 | 0.000000 | — | |
| 1.77291 | 1.688506 | 0.084406 | 0.000000 | 0.000000 | — | |
| 1.73685 | 0.952259 | 0.784595 | 0.000000 | 0.000000 | — | |
| 1.68912 | 0.964207 | 0.687520 | 0.022274 | 0.015122 | — | |
| 1.65864 | 1.010601 | 0.624316 | 0.012373 | 0.011351 | Low reliability | |
| 1.65282 | 1.504038 | 0.131363 | 0.000000 | 0.017415 | — | |
| 1.63137 | 0.989052 | 0.627544 | 0.014394 | 0.000380 | — | |
| 1.59622 | 0.485505 | 1.056120 | 0.054596 | 0.000000 | — | |
| 1.58936 | 1.287116 | 0.301970 | — | 0.000270 | Low reliability | |
| 1.57010 | 0.691122 | 0.864538 | 0.014439 | 0.000000 | — | |
| 1.53503 | 0.825791 | 0.068470 | 0.000000 | 0.640764 | — | |
| 1.50872 | 1.245532 | 0.263185 | — | 0.000000 | Estimated value | |
| 1.49181 | 0.480918 | 0.987889 | 0.000000 | 0.023003 | — | |
| 1.43281 | — | 0.205153 | — | 0.016234 | Estimated value | |
| 1.41440 | 0.784597 | 0.629807 | 0.000000 | 0.000000 | — | |
| 1.35008 | 1.335821 | 0.014256 | 0.000000 | 0.000000 | — | |
| 1.33276 | 0.619941 | 0.442716 | 0.064492 | 0.205607 | — | |
| 1.33214 | 0.011666 | 1.320473 | 0.000000 | 0.000000 | — | |
| 1.32933 | 0.000000 | 1.328870 | — | 0.000457 | Estimated value | |
| 1.32232 | 0.981343 | 0.340981 | 0.000000 | 0.000000 | — | |
| 1.30082 | 0.831931 | 0.462911 | 0.005469 | 0.000510 | Low reliability | |
| 1.29042 | 0.958576 | 0.331841 | 0.000000 | 0.000000 | — | |
| 1.27709 | 1.229959 | 0.047128 | 0.000000 | 0.000000 | — | |
| 1.27695 | — | 0.399567 | — | 0.000727 | Estimated value | |
| 1.27531 | 1.009500 | 0.245067 | — | — | Estimated value | |
| 1.21842 | 0.908771 | 0.303097 | 0.000000 | 0.006552 | Low reliability | |
| 1.18551 | — | 1.183432 | 0.000000 | 0.002074 | Estimated value | |
| 1.18029 | 0.000000 | 1.180293 | 0.000000 | 0.000000 | — | |
| 1.12343 | 1.100768 | 0.008514 | 0.000000 | 0.014145 | — | |
| 1.11003 | — | 0.484393 | — | 0.159706 | Estimated value | |
| 1.09803 | 0.960672 | 0.134151 | 0.003129 | 0.000080 | Low reliability | |
| 1.08105 | 0.383120 | 0.697930 | 0.000000 | 0.000000 | — | |
| 1.06456 | 1.064562 | 0.000000 | 0.000000 | 0.000000 | — | |
| 1.00231 | 0.902246 | 0.000000 | 0.087764 | 0.012303 | — | |
| 0.98838 | 0.927445 | 0.051647 | 0.000000 | 0.009286 | — | |
| 0.97266 | 0.904617 | 0.068038 | 0.000000 | 0.000000 | — | |
| 0.90966 | 0.876706 | 0.008376 | 0.008933 | 0.015647 | — | |
| 0.87479 | 0.588861 | 0.000000 | 0.000000 | 0.285933 | — | |
| 0.86522 | 0.088426 | 0.776795 | 0.000000 | — | Estimated value | |
| 0.86165 | 0.626096 | 0.213904 | 0.021649 | 0.000000 | — | |
| 0.82723 | 0.106928 | 0.110302 | 0.133377 | 0.476624 | — | |
| 0.80240 | 0.644281 | 0.158105 | 0.000011 | 0.000000 | — | |
| 0.75112 | 0.745233 | 0.000233 | 0.000000 | 0.005656 | — | |
| 0.73246 | 0.732458 | 0.000000 | 0.000000 | 0.000000 | — | |
| 0.72487 | 0.441902 | 0.266260 | 0.011495 | 0.005213 | Low reliability | |
| 0.72097 | 0.000000 | 0.000000 | 0.000000 | 0.720972 | — | |
| 0.71011 | 0.710111 | 0.000000 | — | — | Estimated value | |
| 0.68773 | 0.619878 | 0.067851 | 0.000000 | 0.000000 | — | |
| 0.63189 | 0.582209 | 0.046930 | 0.002753 | 0.000000 | — | |
| 0.61681 | 0.466442 | 0.149658 | 0.000711 | — | Low reliability | |
| 0.59090 | 0.187834 | 0.386774 | — | 0.016290 | Estimated value | |
| 0.57733 | 0.294637 | 0.282692 | 0.000000 | 0.000000 | — | |
| 0.56692 | 0.031626 | 0.535290 | 0.000000 | 0.000000 | — | |
| 0.48921 | 0.431266 | 0.057942 | 0.000000 | 0.000000 | — | |
| 0.43623 | 0.000000 | 0.000000 | 0.000000 | 0.436231 | — | |
| 0.43340 | 0.030335 | 0.267014 | 0.136047 | 0.000000 | — | |
| 0.40814 | 0.295845 | 0.000000 | 0.000000 | 0.112294 | — | |
| 0.38027 | 0.000000 | 0.380267 | 0.000000 | 0.000000 | — | |
| 0.38020 | 0.117299 | 0.183320 | 0.079583 | 0.000000 | — | |
| 0.36041 | 0.026267 | 0.173572 | 0.000000 | 0.160576 | — | |
| 0.35033 | 0.000000 | 0.000000 | 0.350329 | 0.000000 | — | |
| 0.34272 | 0.176345 | 0.166370 | 0.000000 | 0.000000 | — | |
| 0.31968 | 0.062904 | 0.256777 | 0.000000 | 0.000000 | — | |
| 0.30881 | 0.000000 | 0.308812 | 0.000000 | 0.000000 | — | |
| 0.30361 | 0.075853 | 0.227757 | 0.000000 | 0.000000 | — | |
| 0.28671 | 0.286711 | 0.000000 | 0.000000 | 0.000000 | — | |
| 0.27200 | 0.174446 | 0.097558 | — | — | Estimated value | |
| 0.23686 | — | 0.236855 | — | 0.000000 | Estimated value | |
| 0.21220 | 0.164611 | 0.042458 | 0.000000 | 0.005127 | — | |
| 0.20451 | 0.133610 | 0.032124 | 0.000000 | 0.038774 | — | |
| 0.19934 | 0.199336 | 0.000000 | 0.000000 | 0.000000 | — | |
| 0.19099 | 0.000000 | 0.190993 | 0.000000 | 0.000000 | — | |
| 0.15213 | 0.000000 | 0.152128 | 0.000000 | 0.000000 | — | |
| 0.12004 | 0.018224 | 0.101818 | 0.000000 | 0.000000 | — | |
| 0.11191 | 0.000426 | 0.062170 | 0.000232 | 0.049078 | — | |
| 0.10291 | 0.000000 | 0.102910 | 0.000000 | 0.000000 | — | |
| 0.08587 | 0.000000 | 0.085871 | 0.000000 | 0.000000 | — | |
| 0.04687 | 0.032821 | 0.014049 | 0.000000 | 0.000000 | — | |
| 0.02340 | 0.000000 | 0.023403 | 0.000000 | 0.000000 | — | |
| 0.01958 | 0.000000 | 0.019580 | 0.000000 | 0.000000 | — | |
| 0.01736 | 0.000000 | 0.017361 | 0.000000 | 0.000000 | — | |
| 0.00001 | 0.000004 | 0.000004 | 0.000002 | 0.000000 | — | |
| 0.00000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | — | |
| 0.00000 | — | — | 0.000000 | 0.000000 | Estimated value | |
| 0.00000 | 0.000000 | — | 0.000000 | — | Estimated value | |
| 0.00000 | 0.000000 | 0.000000 | 0.000000 | — | Estimated value | |
| 0.00000 | 0.000000 | — | 0.000000 | 0.000000 | Estimated value | |
| 0.00000 | — | — | 0.000000 | 0.000000 | Estimated value | |
| 0.00000 | — | 0.000000 | 0.000000 | 0.000000 | Estimated value |
02In 2017
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
Solomon Islands5.43764
Seychelles4.48694
Slovenia4.48162
Croatia4.16599
Greece4.02561
Lowest
Samoashared0.00000
Myanmarshared0.00000
North Macedoniashared0.00000
Cambodiashared0.00000
Bruneishared0.00000
Neither end is better. The values describe a shape, not a score. The middle country reads 1.29042. “Shared” marks a value another country also holds.
Each measure’s ends
Energy tax bases (% of GDP)
Highest
Slovenia3.656619
Lowest19 share it
Middle country: 0.876706
Transport tax bases (% of GDP)
Highest
Seychelles1.623384
Lowest17 share it
Middle country: 0.256777
Pollution tax bases (% of GDP)
Highest
France0.410441
Lowest67 share it
Middle country: 0.000000
Resource tax bases (% of GDP)
Highest
Solomon Islands5.437642
Lowest61 share it
Middle country: 0.000274
032016 → 2017
Since 2016
What changed between 2016 and this one: who joined or left, and how far the headline moved.
- +0 / −1countries joined / left
- 128values changed, of 135 in both
- 58 · 70rose · fell
- 7unchanged
Rose most
Sierra Leone0.65369 → 1.29042+0.63672
Georgia0.95313 → 1.50872+0.55559
Egypt0.58788 → 0.97266+0.38478
Eswatini1.42466 → 1.77291+0.34825
Lesotho0.02128 → 0.34272+0.32143
Both years come from the same release, so a difference here is a change in the data, not a revision of it. Every country’s full history is charted on the statistic page.
04Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
One year of the 2026 release
Every year in this series comes from OECD’s 2026 release, recalculated on one method. It can differ from what was first published for 2017.
129 distinct values among 135
Values are stored exactly as published, to 19 decimals. 7 countries share 0.00000. Countries sharing a value share a position too.
Which end is better
Neither end is better. The values describe a shape, not a score.
119 empty cells
An empty cell means the publisher gave no figure. It is never a zero.
Some readings carry a flag
OECD marks readings it considers estimates or provisional. The flags in this file: Low reliability, Estimated value.
05The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
135 rows · 13 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download environmental-tax-revenue-2017-nations-inquiry.csv - ↗
The publisher’s original
OECD’s own file, on its own site.
A..TAXREV._T+CAT_ENE+CAT_TRA+CAT_POL+CAT_RES._T.PT_B1GQ._Z
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: OECD Terms and Conditions — data clause. The OECD’s own terms for its data: reuse, including commercial reuse, with the OECD credited as the source.
Cite this edition
OECD (2017). Environmentally Related Tax Revenue, 2017 [data set], describing 2017. As held by Nations Inquiry, https://nationsinquiry.com/datasets/environmental-tax-revenue/2017
0631 held
Other years
‹ The year before
Environmentally Related Tax Revenue, 2016136 countries
The year after ›
Environmentally Related Tax Revenue, 2018137 countries
All of them
Environmentally Related Tax Revenue: every year31 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Environmentally Related Tax Revenue, 2017: questions and answers
Which country has the highest environmental tax revenue in Environmentally Related Tax Revenue, 2017?
Solomon Islands, at 5.43764, of the 135 countries in the file.
What year does Environmentally Related Tax Revenue, 2017 describe?
2017.
How many countries does Environmentally Related Tax Revenue, 2017 cover?
135.
Where can I download Environmentally Related Tax Revenue, 2017?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Environmentally Related Tax Revenue, 2017 the newest?
No. The newest held here is Environmentally Related Tax Revenue, 2024.