Data for 2016
Environmentally Related Tax Revenue, 2016
2016, as OECD’s 2026 release gives it · stored as published, never rewritten
Environmentally Related Tax Revenue, 2016 covers 136 countries on 5 measures. Solomon Islands is highest, at 5.30750; 7 countries share the lowest reading, 0.00000. The middle country reads 1.34918. Against 2015, 129 values changed (76 up, 53 down), the same countries are covered.
Environmentally Related Tax Revenue · Data for 2016
HighestSolomon Islands
5.30750Lowest7 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, 2016, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 136 countries · select a heading to sort
| 5.30750 | 0.00000 | 0.000000 | 0.000000 | 5.307504 | — | |
| 4.68471 | 3.82755 | 0.374478 | 0.375783 | 0.106895 | — | |
| 4.18895 | 2.54112 | 1.647836 | 0.000000 | 0.000000 | — | |
| 4.13897 | 3.19282 | 0.929478 | 0.001831 | 0.014845 | Low reliability | |
| 4.06138 | 3.44338 | 0.268157 | 0.159177 | 0.190669 | — | |
| 3.93341 | 2.17332 | 1.558743 | 0.116473 | 0.084868 | Low reliability | |
| 3.78453 | 2.99576 | 0.788773 | — | 0.000000 | Estimated value | |
| 3.77118 | 1.72080 | 0.319988 | 0.000000 | 1.730393 | — | |
| 3.75059 | 3.19857 | 0.472182 | 0.004131 | 0.075712 | Low reliability | |
| 3.47366 | 2.83760 | 0.620697 | 0.015368 | 0.000000 | Low reliability | |
| 3.33002 | 1.85538 | 1.016420 | 0.187177 | 0.271045 | — | |
| 3.29391 | 2.85313 | 0.113019 | 0.327760 | 0.000000 | — | |
| 3.25237 | 2.14056 | 1.111816 | 0.000000 | 0.000000 | — | |
| 3.11009 | 2.11481 | 0.966081 | 0.018543 | 0.010662 | Low reliability | |
| 3.02595 | 1.94525 | 1.080694 | 0.000004 | 0.000000 | — | |
| 2.96633 | 2.59964 | 0.299654 | 0.003383 | 0.063655 | Low reliability | |
| 2.91472 | 2.29780 | 0.611135 | 0.000000 | 0.005785 | — | |
| 2.89011 | 2.10228 | 0.339006 | 0.430501 | 0.018330 | Low reliability | |
| 2.86875 | 2.54667 | 0.031187 | 0.226013 | 0.064873 | — | |
| 2.80789 | 2.15307 | 0.354878 | 0.249064 | 0.050868 | Low reliability | |
| 2.75991 | 2.51779 | 0.239281 | 0.002845 | — | Estimated value | |
| 2.67739 | 1.50283 | 1.105552 | 0.038114 | 0.030897 | Low reliability | |
| 2.63914 | 1.94841 | 0.671398 | 0.005957 | 0.013372 | — | |
| 2.63019 | 2.16347 | 0.261729 | 0.201833 | 0.003163 | — | |
| 2.57190 | 2.23666 | 0.224737 | 0.026206 | 0.084300 | Low reliability | |
| 2.54675 | 1.33070 | 1.038788 | 0.163743 | 0.013521 | — | |
| 2.45906 | 1.95957 | 0.426344 | 0.040673 | 0.032467 | — | |
| 2.43897 | 1.48580 | 0.930331 | 0.016337 | 0.006509 | Low reliability | |
| 2.41326 | 0.76811 | 1.453887 | 0.142926 | 0.048334 | — | |
| 2.39573 | 1.81703 | 0.578703 | 0.000000 | 0.000000 | — | |
| 2.38403 | 1.49836 | 0.851680 | 0.001536 | 0.032457 | Low reliability | |
| 2.35249 | 2.33790 | 0.000000 | 0.000000 | 0.014587 | — | |
| 2.32517 | 1.78850 | 0.465793 | 0.051079 | 0.019803 | Low reliability | |
| 2.27112 | 1.90830 | 0.000000 | 0.362821 | 0.000000 | — | |
| 2.26713 | 2.14728 | 0.119354 | 0.000000 | 0.000502 | — | |
| 2.23696 | 1.76045 | 0.448415 | 0.024199 | 0.003894 | Low reliability | |
| 2.14527 | 1.82009 | 0.161833 | 0.126241 | 0.037109 | Low reliability | |
| 2.06315 | 1.03681 | 0.943165 | 0.080135 | 0.003044 | Low reliability | |
| 2.01624 | 0.99307 | 0.698306 | 0.321343 | 0.003523 | Low reliability | |
| 2.00588 | 1.04426 | 0.859504 | 0.052987 | 0.049130 | Low reliability | |
| 1.98310 | 1.46652 | 0.246363 | 0.065815 | 0.204396 | — | |
| 1.96701 | 1.79002 | 0.048029 | 0.032805 | 0.096155 | Low reliability | |
| 1.89041 | 0.43486 | 1.455545 | 0.000000 | 0.000000 | — | |
| 1.88667 | 0.81687 | 1.069791 | 0.000000 | 0.000000 | — | |
| 1.85508 | 1.13475 | 0.699474 | 0.020440 | 0.000416 | — | |
| 1.84941 | 1.49987 | 0.239099 | 0.062688 | 0.047760 | Low reliability | |
| 1.84807 | 1.55674 | 0.280916 | 0.007970 | 0.002440 | Low reliability | |
| 1.82902 | 1.51492 | 0.313813 | — | 0.000282 | Low reliability | |
| 1.81281 | 1.33220 | 0.480614 | 0.000000 | 0.000000 | — | |
| 1.79399 | 1.25326 | 0.137932 | 0.095352 | 0.307448 | — | |
| 1.71267 | 1.48945 | 0.130926 | 0.092291 | 0.000000 | — | |
| 1.70052 | 1.01434 | 0.082399 | 0.000000 | 0.603781 | — | |
| 1.69917 | 1.03987 | 0.635784 | 0.012462 | 0.011051 | Low reliability | |
| 1.67798 | 1.51793 | 0.135438 | 0.000000 | 0.024605 | — | |
| 1.67268 | 0.91021 | 0.762464 | 0.000000 | 0.000000 | — | |
| 1.65977 | 0.96531 | 0.654785 | 0.024495 | 0.015173 | — | |
| 1.60413 | 1.58817 | 0.000000 | 0.000000 | 0.015953 | — | |
| 1.53760 | 0.86548 | 0.672120 | 0.000000 | 0.000000 | — | |
| 1.51124 | 0.68089 | 0.785527 | 0.044818 | 0.000000 | — | |
| 1.50286 | — | 0.213754 | — | 0.017181 | Estimated value | |
| 1.47980 | 1.33565 | 0.140906 | 0.003118 | 0.000133 | Low reliability | |
| 1.47080 | 1.42124 | 0.049557 | 0.000000 | 0.000000 | — | |
| 1.42466 | 1.33674 | 0.087919 | 0.000000 | 0.000004 | — | |
| 1.41796 | 0.00000 | 1.416752 | — | 0.001209 | Estimated value | |
| 1.38897 | 0.01117 | 1.377800 | 0.000000 | 0.000000 | — | |
| 1.38845 | 0.95202 | 0.429578 | — | 0.006850 | Estimated value | |
| 1.37065 | 0.56431 | 0.791432 | 0.000000 | 0.014912 | — | |
| 1.35370 | 0.53338 | 0.776000 | 0.044325 | 0.000000 | — | |
| 1.34466 | 1.18830 | 0.000000 | 0.000000 | 0.156358 | — | |
| 1.32945 | 1.32053 | 0.008920 | 0.000000 | 0.000000 | — | |
| 1.32145 | 0.85130 | 0.463981 | 0.005608 | 0.000560 | Low reliability | |
| 1.22150 | 0.92731 | 0.294189 | 0.000000 | 0.000000 | — | |
| 1.18066 | 0.89002 | 0.284718 | 0.000000 | 0.005924 | Low reliability | |
| 1.13779 | 0.87114 | 0.245269 | — | — | Estimated value | |
| 1.09091 | — | 0.447306 | — | 0.124913 | Estimated value | |
| 1.01870 | 0.00000 | 1.018704 | 0.000000 | 0.000000 | — | |
| 1.01508 | 0.87051 | 0.144565 | 0.000000 | 0.000000 | — | |
| 0.99024 | 0.00000 | 0.990237 | 0.000000 | 0.000000 | — | |
| 0.97780 | 0.97780 | 0.000000 | 0.000000 | 0.000000 | — | |
| 0.96872 | 0.94434 | 0.008819 | 0.000000 | 0.015560 | — | |
| 0.95788 | 0.89461 | 0.054078 | 0.000000 | 0.009201 | — | |
| 0.95313 | 0.65056 | 0.302572 | — | 0.000000 | Estimated value | |
| 0.94250 | 0.91112 | 0.008574 | 0.009993 | 0.012809 | — | |
| 0.92709 | 0.86206 | 0.065033 | 0.000000 | 0.000000 | — | |
| 0.89485 | — | 0.894852 | 0.000000 | 0.000000 | Estimated value | |
| 0.88331 | 0.09572 | 0.787584 | 0.000000 | — | Estimated value | |
| 0.87141 | 0.63651 | 0.211575 | 0.023322 | 0.000000 | — | |
| 0.81893 | 0.68284 | 0.136084 | — | — | Low reliability | |
| 0.77898 | 0.42418 | 0.354802 | 0.000000 | 0.000000 | — | |
| 0.77362 | 0.77362 | 0.000000 | — | — | Estimated value | |
| 0.77107 | 0.03176 | 0.601698 | 0.000000 | 0.137615 | — | |
| 0.74107 | 0.45240 | 0.272048 | 0.011606 | 0.005014 | Low reliability | |
| 0.73494 | 0.73494 | 0.000000 | 0.000000 | 0.000000 | — | |
| 0.73408 | 0.73361 | 0.000479 | 0.000000 | 0.000000 | — | |
| 0.67150 | 0.08951 | 0.099804 | 0.143101 | 0.339093 | — | |
| 0.65369 | 0.42755 | 0.226139 | 0.000000 | 0.000000 | — | |
| 0.64535 | 0.35736 | 0.287995 | 0.000000 | 0.000000 | — | |
| 0.58788 | 0.48650 | 0.101384 | 0.000000 | 0.000000 | — | |
| 0.57993 | 0.52688 | 0.051173 | 0.001877 | 0.000000 | — | |
| 0.56835 | 0.03679 | 0.531556 | 0.000000 | 0.000000 | — | |
| 0.54035 | 0.00000 | 0.000000 | 0.000000 | 0.540347 | — | |
| 0.50696 | 0.15845 | 0.334249 | — | 0.014265 | Estimated value | |
| 0.48704 | 0.42230 | 0.064742 | 0.000000 | 0.000000 | — | |
| 0.48613 | 0.41450 | 0.000000 | 0.000000 | 0.071635 | — | |
| 0.44577 | 0.36881 | 0.035703 | 0.000000 | 0.041259 | — | |
| 0.44484 | 0.08369 | 0.361152 | 0.000000 | 0.000000 | — | |
| 0.43057 | 0.01432 | 0.272641 | 0.143613 | 0.000000 | — | |
| 0.37199 | 0.00000 | 0.000000 | 0.000000 | 0.371990 | — | |
| 0.36758 | 0.00000 | 0.000000 | 0.367577 | 0.000000 | — | |
| 0.31413 | 0.04734 | 0.177825 | 0.088962 | 0.000000 | — | |
| 0.28920 | 0.00000 | 0.289195 | 0.000000 | 0.000000 | — | |
| 0.25364 | 0.00000 | 0.253636 | 0.000000 | 0.000000 | — | |
| 0.25190 | 0.20623 | 0.042634 | 0.000000 | 0.003034 | — | |
| 0.24895 | 0.13523 | 0.113721 | — | — | Estimated value | |
| 0.24754 | 0.24754 | 0.000000 | 0.000000 | 0.000000 | — | |
| 0.24222 | 0.24222 | 0.000000 | 0.000000 | 0.000000 | — | |
| 0.24080 | — | 0.240799 | — | 0.000000 | Estimated value | |
| 0.23483 | 0.06532 | 0.169508 | 0.000000 | 0.000000 | — | |
| 0.16732 | 0.00000 | 0.167321 | 0.000000 | 0.000000 | — | |
| 0.10431 | 0.00000 | 0.104312 | 0.000000 | 0.000000 | — | |
| 0.10233 | 0.00043 | 0.066349 | 0.000130 | 0.035419 | — | |
| 0.05093 | 0.00000 | 0.050929 | 0.000000 | 0.000000 | — | |
| 0.03924 | 0.01994 | 0.019302 | 0.000000 | 0.000000 | — | |
| 0.03714 | 0.00000 | 0.027754 | 0.000000 | 0.009389 | — | |
| 0.02138 | 0.01946 | 0.001919 | 0.000000 | 0.000000 | — | |
| 0.02128 | 0.02128 | 0.000000 | 0.000000 | 0.000000 | — | |
| 0.01945 | 0.00000 | 0.019447 | 0.000000 | 0.000000 | — | |
| 0.00677 | 0.00000 | 0.006771 | 0.000000 | 0.000000 | — | |
| 0.00001 | 0.00001 | 0.000002 | 0.000003 | 0.000000 | — | |
| 0.00000 | 0.00000 | 0.000000 | 0.000000 | 0.000000 | — | |
| 0.00000 | — | — | 0.000000 | 0.000000 | Estimated value | |
| 0.00000 | 0.00000 | — | 0.000000 | — | Estimated value | |
| 0.00000 | 0.00000 | 0.000000 | 0.000000 | — | Estimated value | |
| 0.00000 | 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 |
02In 2016
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
Solomon Islands5.30750
Slovenia4.68471
Seychelles4.18895
Croatia4.13897
Serbia4.06138
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 1.34918. “Shared” marks a value another country also holds.
Each measure’s ends
Energy tax bases (% of GDP)
Highest
Slovenia3.82755
Lowest19 share it
Middle country: 0.89002
Transport tax bases (% of GDP)
Highest
Seychelles1.647836
Lowest18 share it
Middle country: 0.250000
Pollution tax bases (% of GDP)
Highest
France0.430501
Lowest69 share it
Middle country: 0.000000
Resource tax bases (% of GDP)
Highest
Solomon Islands5.307504
Lowest61 share it
Middle country: 0.000349
032015 → 2016
Since 2015
What changed between 2015 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 129values changed, of 136 in both
- 76 · 53rose · fell
- 7unchanged
Rose most
Ukraine1.83886 → 3.29391+1.45505
Ghana1.32399 → 2.39573+1.07174
Grenada1.36705 → 2.27112+0.90406
Solomon Islands4.55471 → 5.30750+0.75279
Mauritania1.06503 → 1.79399+0.72897
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 2016.
130 distinct values among 136
Values are stored exactly as published, to 18 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.
120 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
136 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-2016-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 (2016). Environmentally Related Tax Revenue, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/environmental-tax-revenue/2016
0631 held
Other years
‹ The year before
Environmentally Related Tax Revenue, 2015136 countries
The year after ›
Environmentally Related Tax Revenue, 2017135 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, 2016: questions and answers
Which country has the highest environmental tax revenue in Environmentally Related Tax Revenue, 2016?
Solomon Islands, at 5.30750, of the 136 countries in the file.
What year does Environmentally Related Tax Revenue, 2016 describe?
2016.
How many countries does Environmentally Related Tax Revenue, 2016 cover?
136.
Where can I download Environmentally Related Tax Revenue, 2016?
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, 2016 the newest?
No. The newest held here is Environmentally Related Tax Revenue, 2024.