Data for 2016
Economic Complexity Index, 2016
2016, as Growth Lab at Harvard University’s 2026 release gives it · stored as published, never rewritten
Economic Complexity Index, 2016 covers 145 countries. Japan is highest, at 2.100; Papua New Guinea is lowest, at -2.576. The middle country reads -0.066. Against 2015, 144 values changed (69 up, 75 down), the same countries are covered.
Economic Complexity Index · Data for 2016
HighestJapan
2.100LowestPapua New Guinea
-2.576Shaded 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, 2016, 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 | 2.100 |
| 2 | CHEWestern Europe | 1.839 |
| 3 | KOREastern Asia | 1.787 |
| 4 | TWNEastern Asia | 1.749 |
| 5 | SGPSouth-eastern Asia | 1.603 |
| 6 | DEUWestern Europe | 1.592 |
| 7 | CZEEastern Europe | 1.502 |
| 8 | SWENorthern Europe | 1.464 |
| 9 | AUTWestern Europe | 1.444 |
| 10 | FINNorthern Europe | 1.439 |
| 11 | SVNSouthern Europe | 1.367 |
| 12 | USANorthern America | 1.325 |
| 13 | GBRNorthern Europe | 1.318 |
| 14 | CHNEastern Asia | 1.294 |
| 15 | HUNEastern Europe | 1.289 |
| 16 | FRAWestern Europe | 1.280 |
| 17 | ITASouthern Europe | 1.237 |
| 18 | IRLNorthern Europe | 1.223 |
| 19 | SVKEastern Europe | 1.204 |
| 20 | BELWestern Europe | 1.198 |
| 21 | ISRWestern Asia | 1.192 |
| 22 | HKGEastern Asia | 1.142 |
| 23 | POLEastern Europe | 1.107 |
| 24 | DNKNorthern Europe | 1.067 |
| 25 | NLDWestern Europe | 1.022 |
| 26 | ESTNorthern Europe | 1.011 |
| 27 | NORNorthern Europe | 1.010 |
| 28 | ROUEastern Europe | 0.993 |
| 29 | MYSSouth-eastern Asia | 0.952 |
| 30 | CANNorthern America | 0.943 |
| 31 | MEXCentral America | 0.936 |
| 32 | THASouth-eastern Asia | 0.927 |
| 33 | ESPSouthern Europe | 0.867 |
| 34 | BLREastern Europe | 0.864 |
| 35 | HRVSouthern Europe | 0.851 |
| 36 | LTUNorthern Europe | 0.831 |
| 37 | LVANorthern Europe | 0.769 |
| 38 | RUSEastern Europe | 0.766 |
| 39 | PANCentral America | 0.763 |
| 40 | PRTSouthern Europe | 0.702 |
| 41 | BGREastern Europe | 0.699 |
| 42 | UKREastern Europe | 0.686 |
| 43 | BRASouth America | 0.647 |
| 44 | SRBSouthern Europe | 0.639 |
| 45 | PHLSouth-eastern Asia | 0.628 |
| 46 | INDSouthern Asia | 0.627 |
| 47 | CYPWestern Asia | 0.615 |
| 48 | BHRWestern Asia | 0.610 |
| 49 | TURWestern Asia | 0.597 |
| 50 | SAUWestern Asia | 0.544 |
| 51 | AREWestern Asia | 0.543 |
| 52 | ZAFSouthern Africa | 0.477 |
| 53 | NZLAustralia and New Zealand | 0.477 |
| 54 | BIHSouthern Europe | 0.434 |
| 55 | SWZSouthern Africa | 0.368 |
| 56 | GRCSouthern Europe | 0.348 |
| 57 | TUNNorthern Africa | 0.340 |
| 58 | LBNWestern Asia | 0.328 |
| 59 | VNMSouth-eastern Asia | 0.295 |
| 60 | IDNSouth-eastern Asia | 0.291 |
| 61 | AUSAustralia and New Zealand | 0.241 |
| 62 | COLSouth America | 0.228 |
| 63 | CRICentral America | 0.227 |
| 64 | URYSouth America | 0.217 |
| 65 | ARGSouth America | 0.179 |
| 66 | SLVCentral America | 0.097 |
| 67 | MKDSouthern Europe | 0.068 |
| 68 | JORWestern Asia | 0.009 |
| 69 | KWTWestern Asia | -0.001 |
| 70 | MUSEastern Africa | -0.039 |
| 71 | MDAEastern Europe | -0.048 |
| 72 | GEOWestern Asia | -0.058 |
| 73 | QATWestern Asia | -0.066 |
| 74 | TTOCaribbean | -0.077 |
| 75 | EGYNorthern Africa | -0.087 |
| 76 | BWASouthern Africa | -0.106 |
| 77 | KGZCentral Asia | -0.112 |
| 78 | CHLSouth America | -0.147 |
| 79 | IRNSouthern Asia | -0.165 |
| 80 | DOMCaribbean | -0.179 |
| 81 | ARMWestern Asia | -0.181 |
| 82 | KAZCentral Asia | -0.191 |
| 83 | NPLSouthern Asia | -0.238 |
| 84 | GTMCentral America | -0.265 |
| 85 | OMNWestern Asia | -0.314 |
| 86 | CUBCaribbean | -0.324 |
| 87 | KENEastern Africa | -0.356 |
| 88 | KHMSouth-eastern Asia | -0.371 |
| 89 | LKASouthern Asia | -0.402 |
| 90 | MARNorthern Africa | -0.402 |
| 91 | JAMCaribbean | -0.410 |
| 92 | NAMSouthern Africa | -0.412 |
| 93 | ALBSouthern Europe | -0.428 |
| 94 | GABMiddle Africa | -0.459 |
| 95 | ZMBEastern Africa | -0.488 |
| 96 | PAKSouthern Asia | -0.490 |
| 97 | HNDCentral America | -0.538 |
| 98 | AGOMiddle Africa | -0.559 |
| 99 | UGAEastern Africa | -0.580 |
| 100 | UZBCentral Asia | -0.639 |
| 101 | NERWestern Africa | -0.675 |
| 102 | PERSouth America | -0.707 |
| 103 | SENWestern Africa | -0.725 |
| 104 | VENSouth America | -0.729 |
| 105 | RWAEastern Africa | -0.775 |
| 106 | PRYSouth America | -0.780 |
| 107 | MLIWestern Africa | -0.840 |
| 108 | AZEWestern Asia | -0.912 |
| 109 | DZANorthern Africa | -0.941 |
| 110 | ECUSouth America | -0.952 |
| 111 | BGDSouthern Asia | -0.968 |
| 112 | TGOWestern Africa | -0.976 |
| 113 | LAOSouth-eastern Asia | -1.006 |
| 114 | ZWEEastern Africa | -1.018 |
| 115 | COGMiddle Africa | -1.025 |
| 116 | GHAWestern Africa | -1.032 |
| 117 | CMRMiddle Africa | -1.046 |
| 118 | LBYNorthern Africa | -1.055 |
| 119 | ETHEastern Africa | -1.065 |
| 120 | MNGEastern Asia | -1.127 |
| 121 | CIVWestern Africa | -1.132 |
| 122 | TJKCentral Asia | -1.142 |
| 123 | TZAEastern Africa | -1.153 |
| 124 | LBRWestern Africa | -1.159 |
| 125 | NICCentral America | -1.197 |
| 126 | HTICaribbean | -1.231 |
| 127 | MMRSouth-eastern Asia | -1.253 |
| 128 | BOLSouth America | -1.318 |
| 129 | BENWestern Africa | -1.321 |
| 130 | MWIEastern Africa | -1.357 |
| 131 | MDGEastern Africa | -1.386 |
| 132 | MOZEastern Africa | -1.458 |
| 133 | AFGSouthern Asia | -1.526 |
| 134 | TKMCentral Asia | -1.533 |
| 135 | BFAWestern Africa | -1.538 |
| 136 | CODMiddle Africa | -1.697 |
| 137 | MRTWestern Africa | -1.741 |
| 138 | YEMWestern Asia | -2.003 |
| 139 | SDNNorthern Africa | -2.042 |
| 140 | NGAWestern Africa | -2.106 |
| 141 | GINWestern Africa | -2.186 |
| 142 | GNQMiddle Africa | -2.193 |
| 143 | TCDMiddle Africa | -2.293 |
| 144 | IRQWestern Asia | -2.392 |
| 145 | PNGMelanesia | -2.576 |
02In 2016
At either end
The 5 countries at each end of the headline.
Highest
- #1
Japan2.100
- #2
Switzerland1.839
- #3
South Korea1.787
- #4
Taiwan1.749
- #5
Singapore1.603
Lowest
- #145
Papua New Guinea-2.576
- #144
Iraq-2.392
- #143
Chad-2.293
- #142
Equatorial Guinea-2.193
- #141
Guinea-2.186
A higher value is the better result. The middle country reads -0.066. “Shared” marks a value another country also holds.
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
- 144values changed, of 145 in both
- 69 · 75rose · fell
- 1unchanged
Rose most
Niger-1.308 → -0.675+0.633
Cuba-0.832 → -0.324+0.508
Liberia-1.610 → -1.159+0.451
Libya-1.485 → -1.055+0.430
Turkmenistan-1.888 → -1.533+0.355
Fell most
Guinea-1.618 → -2.186−0.568
Yemen-1.489 → -2.003−0.514
Equatorial Guinea-1.705 → -2.193−0.488
Nigeria-1.700 → -2.106−0.406
Malawi-0.959 → -1.357−0.398
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 2016.
143 distinct values among 145
Values are stored exactly as published, to 3 decimals. 2 countries share 0.477. Countries sharing a value share a position too.
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-2016-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 (2016). Economic Complexity Index, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/economic-complexity/2016
0630 held
Other years
‹ The year before
Economic Complexity Index, 2015145 countries
The year after ›
Economic Complexity Index, 2017145 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, 2016: questions and answers
Which country has the highest Economic Complexity Index in Economic Complexity Index, 2016?
Japan, at 2.100, of the 145 countries in the file.
What year does Economic Complexity Index, 2016 describe?
2016.
How many countries does Economic Complexity Index, 2016 cover?
145.
Where can I download Economic Complexity Index, 2016?
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, 2016 the newest?
No. The newest held here is Economic Complexity Index, 2024.