Data for 2018
Economic Complexity Index, 2018
2018, as Growth Lab at Harvard University’s 2026 release gives it · stored as published, never rewritten
Economic Complexity Index, 2018 covers 145 countries. Japan is highest, at 2.044; Papua New Guinea is lowest, at -2.398. The middle country reads -0.015. Against 2017, 143 values changed (74 up, 69 down), the same countries are covered.
Economic Complexity Index · Data for 2018
HighestJapan
2.044LowestPapua New Guinea
-2.398Shaded by value in five groups of equal size, darkest at the better end.
01Growth Lab at Harvard University’s rank
The table
Every country and every column of Economic Complexity Index, 2018, as published. The rank is Growth Lab at Harvard University’s own, as printed. “=” marks a shared position.
Showing 25 of 145 countries · select a heading to sort
| 1 | JPNEastern Asia | 2.044 |
| 2 | KOREastern Asia | 1.797 |
| 3 | CHEWestern Europe | 1.752 |
| 4 | TWNEastern Asia | 1.742 |
| 5 | SGPSouth-eastern Asia | 1.631 |
| 6 | DEUWestern Europe | 1.543 |
| 7 | CZEEastern Europe | 1.484 |
| 8 | AUTWestern Europe | 1.400 |
| 9 | SWENorthern Europe | 1.396 |
| 10 | FINNorthern Europe | 1.393 |
| 11 | SVNSouthern Europe | 1.379 |
| 12 | CHNEastern Asia | 1.311 |
| 13 | GBRNorthern Europe | 1.291 |
| 14 | USANorthern America | 1.280 |
| 15 | HUNEastern Europe | 1.269 |
| 16 | FRAWestern Europe | 1.233 |
| 17 | ISRWestern Asia | 1.228 |
| 18 | ITASouthern Europe | 1.219 |
| 19 | SVKEastern Europe | 1.207 |
| 20 | IRLNorthern Europe | 1.205 |
| 21 | BELWestern Europe | 1.168 |
| 22 | HKGEastern Asia | 1.149 |
| 23 | POLEastern Europe | 1.093 |
| 24 | DNKNorthern Europe | 1.053 |
| 25 | NLDWestern Europe | 1.010 |
| 26 | ESTNorthern Europe | 1.009 |
| 27 | ROUEastern Europe | 1.006 |
| 28 | MYSSouth-eastern Asia | 1.001 |
| 29 | THASouth-eastern Asia | 0.931 |
| 30 | MEXCentral America | 0.925 |
| 31 | NORNorthern Europe | 0.922 |
| 32 | LTUNorthern Europe | 0.903 |
| 33 | CANNorthern America | 0.893 |
| 34 | BLREastern Europe | 0.884 |
| 35 | HRVSouthern Europe | 0.871 |
| 36 | ESPSouthern Europe | 0.844 |
| 37 | LVANorthern Europe | 0.793 |
| 38 | PRTSouthern Europe | 0.746 |
| 39 | PHLSouth-eastern Asia | 0.715 |
| 40 | BGREastern Europe | 0.714 |
| 41 | SRBSouthern Europe | 0.710 |
| 42 | PANCentral America | 0.706 |
| 43 | RUSEastern Europe | 0.700 |
| 44 | AREWestern Asia | 0.683 |
| 45 | INDSouthern Asia | 0.682 |
| 46 | SAUWestern Asia | 0.651 |
| 47 | TURWestern Asia | 0.593 |
| 48 | UKREastern Europe | 0.581 |
| 49 | BRASouth America | 0.532 |
| 50 | BHRWestern Asia | 0.513 |
| 51 | BIHSouthern Europe | 0.512 |
| 52 | CYPWestern Asia | 0.495 |
| 53 | NZLAustralia and New Zealand | 0.460 |
| 54 | ZAFSouthern Africa | 0.429 |
| 55 | TUNNorthern Africa | 0.412 |
| 56 | VNMSouth-eastern Asia | 0.377 |
| 57 | GRCSouthern Europe | 0.351 |
| 58 | LBNWestern Asia | 0.348 |
| 59 | SWZSouthern Africa | 0.296 |
| 60 | IDNSouth-eastern Asia | 0.292 |
| 61 | CRICentral America | 0.229 |
| 62 | COLSouth America | 0.195 |
| 63 | GEOWestern Asia | 0.168 |
| 64 | SLVCentral America | 0.156 |
| 65 | AUSAustralia and New Zealand | 0.151 |
| 66 | MUSEastern Africa | 0.150 |
| 67 | MKDSouthern Europe | 0.123 |
| 68 | ARGSouth America | 0.068 |
| 69 | QATWestern Asia | 0.060 |
| 70 | ARMWestern Asia | 0.054 |
| 71 | JORWestern Asia | 0.032 |
| 72 | DOMCaribbean | 0.011 |
| 73 | MDAEastern Europe | -0.015 |
| 74 | TZAEastern Africa | -0.025 |
| 75 | URYSouth America | -0.026 |
| 76 | EGYNorthern Africa | -0.056 |
| 77 | KWTWestern Asia | -0.061 |
| 78 | TTOCaribbean | -0.067 |
| 79 | CHLSouth America | -0.079 |
| 80 | IRNSouthern Asia | -0.108 |
| 81 | BWASouthern Africa | -0.141 |
| 82 | GTMCentral America | -0.145 |
| 83 | KGZCentral Asia | -0.161 |
| 84 | OMNWestern Asia | -0.166 |
| 85 | NPLSouthern Asia | -0.208 |
| 86 | ALBSouthern Europe | -0.257 |
| 87 | KHMSouth-eastern Asia | -0.327 |
| 88 | LKASouthern Asia | -0.339 |
| 89 | MARNorthern Africa | -0.349 |
| 90 | KENEastern Africa | -0.351 |
| 91 | KAZCentral Asia | -0.352 |
| 92 | HNDCentral America | -0.429 |
| 93 | PAKSouthern Asia | -0.445 |
| 94 | JAMCaribbean | -0.458 |
| 95 | NAMSouthern Africa | -0.499 |
| 96 | UZBCentral Asia | -0.504 |
| 97 | ZMBEastern Africa | -0.539 |
| 98 | NERWestern Africa | -0.569 |
| 99 | RWAEastern Africa | -0.599 |
| 100 | BGDSouthern Asia | -0.618 |
| 101 | BENWestern Africa | -0.637 |
| 102 | PRYSouth America | -0.670 |
| 103 | PERSouth America | -0.684 |
| 104 | UGAEastern Africa | -0.729 |
| 105 | SENWestern Africa | -0.758 |
| 106 | GABMiddle Africa | -0.772 |
| 107 | AZEWestern Asia | -0.831 |
| 108 | MLIWestern Africa | -0.866 |
| 109 | CUBCaribbean | -0.894 |
| 110 | LBRWestern Africa | -0.895 |
| 111 | VENSouth America | -0.909 |
| 112 | HTICaribbean | -0.972 |
| 113 | LAOSouth-eastern Asia | -0.989 |
| 114 | ETHEastern Africa | -1.002 |
| 115 | MMRSouth-eastern Asia | -1.007 |
| 116 | ECUSouth America | -1.011 |
| 117 | NICCentral America | -1.017 |
| 118 | MWIEastern Africa | -1.023 |
| 119 | TJKCentral Asia | -1.029 |
| 120 | TGOWestern Africa | -1.097 |
| 121 | GHAWestern Africa | -1.103 |
| 122 | ZWEEastern Africa | -1.116 |
| 123 | BFAWestern Africa | -1.127 |
| 124 | CIVWestern Africa | -1.164 |
| 125 | TKMCentral Asia | -1.244 |
| 126 | MNGEastern Asia | -1.316 |
| 127 | AFGSouthern Asia | -1.325 |
| 128 | MDGEastern Africa | -1.342 |
| 129 | DZANorthern Africa | -1.354 |
| 130 | CMRMiddle Africa | -1.398 |
| 131 | BOLSouth America | -1.464 |
| 132 | MOZEastern Africa | -1.477 |
| 133 | COGMiddle Africa | -1.487 |
| 134 | MRTWestern Africa | -1.508 |
| 135 | AGOMiddle Africa | -1.604 |
| 136 | IRQWestern Asia | -1.613 |
| 137 | GINWestern Africa | -1.708 |
| 138 | LBYNorthern Africa | -1.762 |
| 139 | SDNNorthern Africa | -1.911 |
| 140 | CODMiddle Africa | -2.067 |
| 141 | YEMWestern Asia | -2.102 |
| 142 | TCDMiddle Africa | -2.118 |
| 143 | GNQMiddle Africa | -2.181 |
| 144 | NGAWestern Africa | -2.198 |
| 145 | PNGMelanesia | -2.398 |
02In 2018
At either end
The 5 countries at each end of the headline.
Highest
- #1
Japan2.044
- #2
South Korea1.797
- #3
Switzerland1.752
- #4
Taiwan1.742
- #5
Singapore1.631
Lowest
- #145
Papua New Guinea-2.398
- #144
Nigeria-2.198
- #143
Equatorial Guinea-2.181
- #142
Chad-2.118
- #141
Yemen-2.102
A higher value is the better result. The middle country reads -0.015. “Shared” marks a value another country also holds.
032017 → 2018
Since 2017
What changed between 2017 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 143values changed, of 145 in both
- 74 · 69rose · fell
- 2unchanged
Rose most
Tanzania-1.104 → -0.025+1.079
Guinea-2.292 → -1.708+0.584
Iraq-2.012 → -1.613+0.399
Mauritania-1.856 → -1.508+0.348
Burkina Faso-1.463 → -1.127+0.336
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 Growth Lab at Harvard University’s 2026 release, recalculated on one method. It can differ from what was first published for 2018.
The rank is Growth Lab at Harvard University’s
Printed as the publisher ranked the countries; never re-ranked here.
Nothing missing
Every one of the 145 countries has every column.
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
145 rows · 4.5 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download economic-complexity-2018-nations-inquiry.csv - ↗
The publisher’s original
Growth Lab at Harvard University’s own file, on its own site.
13439575
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: CC0 1.0 · what it allows, in plain words
Cite this edition
Growth Lab at Harvard University (2018). Economic Complexity Index, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/economic-complexity/2018
0630 held
Other years
‹ The year before
Economic Complexity Index, 2017145 countries
The year after ›
Economic Complexity Index, 2019145 countries
All of them
Economic Complexity Index: every year30 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Economic Complexity Index, 2018: questions and answers
Which country has the highest Economic Complexity Index in Economic Complexity Index, 2018?
Japan, at 2.044, of the 145 countries in the file.
What year does Economic Complexity Index, 2018 describe?
2018.
How many countries does Economic Complexity Index, 2018 cover?
145.
Where can I download Economic Complexity Index, 2018?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Economic Complexity Index, 2018 the newest?
No. The newest held here is Economic Complexity Index, 2024.