Data for 2015
Economic Complexity Index, 2015
2015, as Growth Lab at Harvard University’s 2026 release gives it · stored as published, never rewritten
Economic Complexity Index, 2015 covers 145 countries. Japan is highest, at 2.091; Papua New Guinea is lowest, at -2.559. The middle country reads -0.060. Against 2014, 144 values changed (73 up, 71 down), the same countries are covered.
Economic Complexity Index · Data for 2015
HighestJapan
2.091LowestPapua New Guinea
-2.559Shaded 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, 2015, 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 | 2.091 |
| 2 | CHEWestern Europe | 1.836 |
| 3 | TWNEastern Asia | 1.748 |
| 4 | KOREastern Asia | 1.748 |
| 5 | DEUWestern Europe | 1.585 |
| 6 | SGPSouth-eastern Asia | 1.564 |
| 7 | CZEEastern Europe | 1.493 |
| 8 | AUTWestern Europe | 1.466 |
| 9 | SWENorthern Europe | 1.458 |
| 10 | FINNorthern Europe | 1.424 |
| 11 | SVNSouthern Europe | 1.405 |
| 12 | GBRNorthern Europe | 1.345 |
| 13 | USANorthern America | 1.344 |
| 14 | HUNEastern Europe | 1.299 |
| 15 | FRAWestern Europe | 1.288 |
| 16 | CHNEastern Asia | 1.285 |
| 17 | ISRWestern Asia | 1.275 |
| 18 | ITASouthern Europe | 1.251 |
| 19 | IRLNorthern Europe | 1.243 |
| 20 | SVKEastern Europe | 1.204 |
| 21 | BELWestern Europe | 1.177 |
| 22 | HKGEastern Asia | 1.175 |
| 23 | POLEastern Europe | 1.127 |
| 24 | DNKNorthern Europe | 1.063 |
| 25 | NORNorthern Europe | 1.054 |
| 26 | NLDWestern Europe | 1.047 |
| 27 | MEXCentral America | 0.983 |
| 28 | ESTNorthern Europe | 0.961 |
| 29 | MYSSouth-eastern Asia | 0.959 |
| 30 | CANNorthern America | 0.953 |
| 31 | THASouth-eastern Asia | 0.931 |
| 32 | ROUEastern Europe | 0.917 |
| 33 | ESPSouthern Europe | 0.865 |
| 34 | BLREastern Europe | 0.855 |
| 35 | LTUNorthern Europe | 0.852 |
| 36 | HRVSouthern Europe | 0.828 |
| 37 | PANCentral America | 0.787 |
| 38 | LVANorthern Europe | 0.784 |
| 39 | RUSEastern Europe | 0.769 |
| 40 | PRTSouthern Europe | 0.730 |
| 41 | UKREastern Europe | 0.694 |
| 42 | BRASouth America | 0.653 |
| 43 | BGREastern Europe | 0.652 |
| 44 | SRBSouthern Europe | 0.631 |
| 45 | BHRWestern Asia | 0.629 |
| 46 | INDSouthern Asia | 0.618 |
| 47 | CYPWestern Asia | 0.596 |
| 48 | SAUWestern Asia | 0.584 |
| 49 | PHLSouth-eastern Asia | 0.579 |
| 50 | TURWestern Asia | 0.578 |
| 51 | AREWestern Asia | 0.560 |
| 52 | NZLAustralia and New Zealand | 0.504 |
| 53 | ZAFSouthern Africa | 0.492 |
| 54 | GRCSouthern Europe | 0.374 |
| 55 | ARGSouth America | 0.367 |
| 56 | LBNWestern Asia | 0.364 |
| 57 | BIHSouthern Europe | 0.360 |
| 58 | SWZSouthern Africa | 0.359 |
| 59 | TUNNorthern Africa | 0.333 |
| 60 | URYSouth America | 0.291 |
| 61 | IDNSouth-eastern Asia | 0.276 |
| 62 | COLSouth America | 0.269 |
| 63 | AUSAustralia and New Zealand | 0.262 |
| 64 | CRICentral America | 0.248 |
| 65 | VNMSouth-eastern Asia | 0.243 |
| 66 | JORWestern Asia | 0.197 |
| 67 | ARMWestern Asia | 0.080 |
| 68 | GEOWestern Asia | 0.051 |
| 69 | MKDSouthern Europe | 0.041 |
| 70 | MUSEastern Africa | 0.019 |
| 71 | SLVCentral America | 0.016 |
| 72 | KWTWestern Asia | -0.052 |
| 73 | EGYNorthern Africa | -0.060 |
| 74 | CHLSouth America | -0.066 |
| 75 | MDAEastern Europe | -0.078 |
| 76 | KGZCentral Asia | -0.107 |
| 77 | NPLSouthern Asia | -0.114 |
| 78 | BWASouthern Africa | -0.149 |
| 79 | QATWestern Asia | -0.163 |
| 80 | IRNSouthern Asia | -0.171 |
| 81 | GTMCentral America | -0.209 |
| 82 | DOMCaribbean | -0.221 |
| 83 | KAZCentral Asia | -0.259 |
| 84 | TTOCaribbean | -0.273 |
| 85 | NAMSouthern Africa | -0.300 |
| 86 | KENEastern Africa | -0.315 |
| 87 | OMNWestern Asia | -0.323 |
| 88 | MARNorthern Africa | -0.432 |
| 89 | LKASouthern Asia | -0.450 |
| 90 | JAMCaribbean | -0.453 |
| 91 | PAKSouthern Asia | -0.479 |
| 92 | ALBSouthern Europe | -0.505 |
| 93 | HNDCentral America | -0.525 |
| 94 | ZMBEastern Africa | -0.540 |
| 95 | AGOMiddle Africa | -0.544 |
| 96 | PERSouth America | -0.556 |
| 97 | KHMSouth-eastern Asia | -0.557 |
| 98 | GABMiddle Africa | -0.576 |
| 99 | PRYSouth America | -0.607 |
| 100 | UGAEastern Africa | -0.654 |
| 101 | UZBCentral Asia | -0.714 |
| 102 | CMRMiddle Africa | -0.729 |
| 103 | RWAEastern Africa | -0.752 |
| 104 | VENSouth America | -0.780 |
| 105 | SENWestern Africa | -0.781 |
| 106 | ECUSouth America | -0.796 |
| 107 | AZEWestern Asia | -0.823 |
| 108 | CUBCaribbean | -0.832 |
| 109 | GHAWestern Africa | -0.860 |
| 110 | MLIWestern Africa | -0.905 |
| 111 | ZWEEastern Africa | -0.909 |
| 112 | BENWestern Africa | -0.923 |
| 113 | TGOWestern Africa | -0.946 |
| 114 | MWIEastern Africa | -0.959 |
| 115 | CIVWestern Africa | -0.969 |
| 116 | BGDSouthern Asia | -0.998 |
| 117 | LAOSouth-eastern Asia | -1.105 |
| 118 | ETHEastern Africa | -1.110 |
| 119 | TZAEastern Africa | -1.125 |
| 120 | DZANorthern Africa | -1.207 |
| 121 | MOZEastern Africa | -1.250 |
| 122 | HTICaribbean | -1.275 |
| 123 | NICCentral America | -1.280 |
| 124 | TJKCentral Asia | -1.290 |
| 125 | BOLSouth America | -1.306 |
| 126 | NERWestern Africa | -1.308 |
| 127 | MDGEastern Africa | -1.320 |
| 128 | BFAWestern Africa | -1.329 |
| 129 | COGMiddle Africa | -1.354 |
| 130 | AFGSouthern Asia | -1.377 |
| 131 | MNGEastern Asia | -1.416 |
| 132 | LBYNorthern Africa | -1.485 |
| 133 | YEMWestern Asia | -1.489 |
| 134 | MMRSouth-eastern Asia | -1.569 |
| 135 | LBRWestern Africa | -1.610 |
| 136 | GINWestern Africa | -1.618 |
| 137 | NGAWestern Africa | -1.700 |
| 138 | GNQMiddle Africa | -1.705 |
| 139 | CODMiddle Africa | -1.748 |
| 140 | TKMCentral Asia | -1.888 |
| 141 | MRTWestern Africa | -1.908 |
| 142 | TCDMiddle Africa | -2.071 |
| 143 | SDNNorthern Africa | -2.087 |
| 144 | IRQWestern Asia | -2.275 |
| 145 | PNGMelanesia | -2.559 |
02In 2015
At either end
The 5 countries at each end of the headline.
Highest
- #1
Japan2.091
- #2
Switzerland1.836
- #4
South Koreashared1.748
- #3
Taiwanshared1.748
- #5
Germany1.585
Lowest
- #145
Papua New Guinea-2.559
- #144
Iraq-2.275
- #143
Sudan-2.087
- #142
Chad-2.071
- #141
Mauritania-1.908
A higher value is the better result. The middle country reads -0.060. “Shared” marks a value another country also holds.
032014 → 2015
Since 2014
What changed between 2014 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 144values changed, of 145 in both
- 73 · 71rose · fell
- 1unchanged
Rose most
Angola-2.133 → -0.544+1.589
Chad-2.841 → -2.071+0.770
DR Congo-2.316 → -1.748+0.568
Equatorial Guinea-2.122 → -1.705+0.417
Guinea-2.030 → -1.618+0.412
Fell most
Mauritania-1.015 → -1.908−0.893
Tajikistan-0.776 → -1.290−0.514
Liberia-1.207 → -1.610−0.403
Niger-0.906 → -1.308−0.402
Afghanistan-1.027 → -1.377−0.350
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 2015.
144 distinct values among 145
Values are stored exactly as published, to 3 decimals. 2 countries share 1.748. 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-2015-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 (2015). Economic Complexity Index, 2015 [data set], describing 2015. As held by Nations Inquiry, https://nationsinquiry.com/datasets/economic-complexity/2015
0630 held
Other years
‹ The year before
Economic Complexity Index, 2014145 countries
The year after ›
Economic Complexity Index, 2016145 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, 2015: questions and answers
Which country has the highest Economic Complexity Index in Economic Complexity Index, 2015?
Japan, at 2.091, of the 145 countries in the file.
What year does Economic Complexity Index, 2015 describe?
2015.
How many countries does Economic Complexity Index, 2015 cover?
145.
Where can I download Economic Complexity Index, 2015?
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, 2015 the newest?
No. The newest held here is Economic Complexity Index, 2024.