Data for 2014
Economic Complexity Index, 2014
2014, as Growth Lab at Harvard University’s 2026 release gives it · stored as published, never rewritten
Economic Complexity Index, 2014 covers 145 countries. Japan is highest, at 2.014; Chad is lowest, at -2.841. The middle country reads -0.019. Against 2013, 145 values changed (76 up, 69 down), the same countries are covered.
Economic Complexity Index · Data for 2014
HighestJapan
2.014LowestChad
-2.841Shaded 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, 2014, 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 | 2.014 |
| 2 | CHEWestern Europe | 1.797 |
| 3 | KOREastern Asia | 1.696 |
| 4 | TWNEastern Asia | 1.684 |
| 5 | DEUWestern Europe | 1.545 |
| 6 | CZEEastern Europe | 1.498 |
| 7 | SGPSouth-eastern Asia | 1.465 |
| 8 | SWENorthern Europe | 1.446 |
| 9 | AUTWestern Europe | 1.439 |
| 10 | FINNorthern Europe | 1.414 |
| 11 | SVNSouthern Europe | 1.368 |
| 12 | GBRNorthern Europe | 1.310 |
| 13 | USANorthern America | 1.305 |
| 14 | CHNEastern Asia | 1.261 |
| 15 | HUNEastern Europe | 1.261 |
| 16 | FRAWestern Europe | 1.255 |
| 17 | ITASouthern Europe | 1.237 |
| 18 | ISRWestern Asia | 1.200 |
| 19 | SVKEastern Europe | 1.197 |
| 20 | IRLNorthern Europe | 1.192 |
| 21 | BELWestern Europe | 1.164 |
| 22 | HKGEastern Asia | 1.128 |
| 23 | POLEastern Europe | 1.095 |
| 24 | DNKNorthern Europe | 1.062 |
| 25 | NLDWestern Europe | 1.030 |
| 26 | NORNorthern Europe | 1.007 |
| 27 | ESTNorthern Europe | 0.961 |
| 28 | MYSSouth-eastern Asia | 0.958 |
| 29 | MEXCentral America | 0.957 |
| 30 | CANNorthern America | 0.941 |
| 31 | THASouth-eastern Asia | 0.909 |
| 32 | BLREastern Europe | 0.906 |
| 33 | ESPSouthern Europe | 0.888 |
| 34 | ROUEastern Europe | 0.881 |
| 35 | LTUNorthern Europe | 0.863 |
| 36 | HRVSouthern Europe | 0.815 |
| 37 | RUSEastern Europe | 0.796 |
| 38 | UKREastern Europe | 0.774 |
| 39 | LVANorthern Europe | 0.764 |
| 40 | PANCentral America | 0.762 |
| 41 | PRTSouthern Europe | 0.729 |
| 42 | SRBSouthern Europe | 0.676 |
| 43 | BGREastern Europe | 0.646 |
| 44 | BRASouth America | 0.642 |
| 45 | TURWestern Asia | 0.597 |
| 46 | CYPWestern Asia | 0.593 |
| 47 | PHLSouth-eastern Asia | 0.586 |
| 48 | INDSouthern Asia | 0.577 |
| 49 | SAUWestern Asia | 0.566 |
| 50 | ZAFSouthern Africa | 0.555 |
| 51 | AREWestern Asia | 0.538 |
| 52 | NZLAustralia and New Zealand | 0.529 |
| 53 | BHRWestern Asia | 0.521 |
| 54 | BIHSouthern Europe | 0.415 |
| 55 | ARGSouth America | 0.413 |
| 56 | TUNNorthern Africa | 0.405 |
| 57 | GRCSouthern Europe | 0.390 |
| 58 | LBNWestern Asia | 0.386 |
| 59 | SWZSouthern Africa | 0.356 |
| 60 | CRICentral America | 0.318 |
| 61 | JORWestern Asia | 0.303 |
| 62 | VNMSouth-eastern Asia | 0.300 |
| 63 | IDNSouth-eastern Asia | 0.279 |
| 64 | COLSouth America | 0.274 |
| 65 | AUSAustralia and New Zealand | 0.252 |
| 66 | URYSouth America | 0.237 |
| 67 | MUSEastern Africa | 0.130 |
| 68 | MKDSouthern Europe | 0.098 |
| 69 | GEOWestern Asia | 0.083 |
| 70 | SLVCentral America | 0.045 |
| 71 | CHLSouth America | 0.007 |
| 72 | MDAEastern Europe | -0.008 |
| 73 | EGYNorthern Africa | -0.019 |
| 74 | ARMWestern Asia | -0.022 |
| 75 | NAMSouthern Africa | -0.031 |
| 76 | KWTWestern Asia | -0.076 |
| 77 | NPLSouthern Asia | -0.096 |
| 78 | IRNSouthern Asia | -0.143 |
| 79 | KAZCentral Asia | -0.156 |
| 80 | DOMCaribbean | -0.175 |
| 81 | GTMCentral America | -0.181 |
| 82 | BWASouthern Africa | -0.206 |
| 83 | OMNWestern Asia | -0.273 |
| 84 | QATWestern Asia | -0.279 |
| 85 | MARNorthern Africa | -0.321 |
| 86 | KGZCentral Asia | -0.324 |
| 87 | TTOCaribbean | -0.346 |
| 88 | LKASouthern Asia | -0.391 |
| 89 | ALBSouthern Europe | -0.402 |
| 90 | HNDCentral America | -0.404 |
| 91 | JAMCaribbean | -0.423 |
| 92 | PAKSouthern Asia | -0.436 |
| 93 | ZMBEastern Africa | -0.458 |
| 94 | PERSouth America | -0.470 |
| 95 | KENEastern Africa | -0.487 |
| 96 | UGAEastern Africa | -0.526 |
| 97 | GABMiddle Africa | -0.566 |
| 98 | UZBCentral Asia | -0.570 |
| 99 | SENWestern Africa | -0.573 |
| 100 | GHAWestern Africa | -0.679 |
| 101 | PRYSouth America | -0.683 |
| 102 | CMRMiddle Africa | -0.691 |
| 103 | VENSouth America | -0.709 |
| 104 | BENWestern Africa | -0.748 |
| 105 | TJKCentral Asia | -0.776 |
| 106 | TGOWestern Africa | -0.781 |
| 107 | RWAEastern Africa | -0.794 |
| 108 | CUBCaribbean | -0.801 |
| 109 | ZWEEastern Africa | -0.806 |
| 110 | MWIEastern Africa | -0.846 |
| 111 | KHMSouth-eastern Asia | -0.896 |
| 112 | NERWestern Africa | -0.906 |
| 113 | ECUSouth America | -0.907 |
| 114 | ETHEastern Africa | -1.002 |
| 115 | MRTWestern Africa | -1.015 |
| 116 | AFGSouthern Asia | -1.027 |
| 117 | NICCentral America | -1.041 |
| 118 | CIVWestern Africa | -1.051 |
| 119 | BGDSouthern Asia | -1.065 |
| 120 | TZAEastern Africa | -1.077 |
| 121 | LAOSouth-eastern Asia | -1.086 |
| 122 | AZEWestern Asia | -1.100 |
| 123 | MLIWestern Africa | -1.125 |
| 124 | BFAWestern Africa | -1.203 |
| 125 | LBRWestern Africa | -1.207 |
| 126 | YEMWestern Asia | -1.247 |
| 127 | COGMiddle Africa | -1.250 |
| 128 | MDGEastern Africa | -1.259 |
| 129 | MOZEastern Africa | -1.306 |
| 130 | BOLSouth America | -1.342 |
| 131 | HTICaribbean | -1.353 |
| 132 | DZANorthern Africa | -1.500 |
| 133 | MNGEastern Asia | -1.541 |
| 134 | NGAWestern Africa | -1.584 |
| 135 | TKMCentral Asia | -1.738 |
| 136 | MMRSouth-eastern Asia | -1.803 |
| 137 | LBYNorthern Africa | -1.870 |
| 138 | GINWestern Africa | -2.030 |
| 139 | GNQMiddle Africa | -2.122 |
| 140 | AGOMiddle Africa | -2.133 |
| 141 | SDNNorthern Africa | -2.157 |
| 142 | PNGMelanesia | -2.227 |
| 143 | CODMiddle Africa | -2.316 |
| 144 | IRQWestern Asia | -2.485 |
| 145 | TCDMiddle Africa | -2.841 |
02In 2014
At either end
The 5 countries at each end of the headline.
Highest
- #1
Japan2.014
- #2
Switzerland1.797
- #3
South Korea1.696
- #4
Taiwan1.684
- #5
Germany1.545
Lowest
- #145
Chad-2.841
- #144
Iraq-2.485
- #143
DR Congo-2.316
- #142
Papua New Guinea-2.227
- #141
Sudan-2.157
A higher value is the better result. The middle country reads -0.019. “Shared” marks a value another country also holds.
032013 → 2014
Since 2013
What changed between 2013 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 145values changed, of 145 in both
- 76 · 69rose · fell
- 0unchanged
Rose most
Mauritania-2.339 → -1.015+1.324
Niger-1.455 → -0.906+0.549
Tajikistan-1.274 → -0.776+0.498
Benin-1.158 → -0.748+0.410
Nigeria-1.987 → -1.584+0.403
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 2014.
144 distinct values among 145
Values are stored exactly as published, to 3 decimals. 2 countries share 1.261. 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-2014-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 (2014). Economic Complexity Index, 2014 [data set], describing 2014. As held by Nations Inquiry, https://nationsinquiry.com/datasets/economic-complexity/2014
0630 held
Other years
‹ The year before
Economic Complexity Index, 2013145 countries
The year after ›
Economic Complexity Index, 2015145 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, 2014: questions and answers
Which country has the highest Economic Complexity Index in Economic Complexity Index, 2014?
Japan, at 2.014, of the 145 countries in the file.
What year does Economic Complexity Index, 2014 describe?
2014.
How many countries does Economic Complexity Index, 2014 cover?
145.
Where can I download Economic Complexity Index, 2014?
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, 2014 the newest?
No. The newest held here is Economic Complexity Index, 2024.