Data for 2019
Economic Complexity Index, 2019
2019, as Growth Lab at Harvard University’s 2026 release gives it · stored as published, never rewritten
Economic Complexity Index, 2019 covers 145 countries. Japan is highest, at 2.047; Equatorial Guinea is lowest, at -2.227. The middle country reads 0.030. Against 2018, 145 values changed (77 up, 68 down), the same countries are covered.
Economic Complexity Index · Data for 2019
HighestJapan
2.047LowestEquatorial Guinea
-2.227Shaded 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, 2019, 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 | 2.047 |
| 2 | KOREastern Asia | 1.807 |
| 3 | CHEWestern Europe | 1.758 |
| 4 | TWNEastern Asia | 1.757 |
| 5 | SGPSouth-eastern Asia | 1.681 |
| 6 | DEUWestern Europe | 1.544 |
| 7 | CZEEastern Europe | 1.478 |
| 8 | SWENorthern Europe | 1.405 |
| 9 | AUTWestern Europe | 1.376 |
| 10 | SVNSouthern Europe | 1.375 |
| 11 | FINNorthern Europe | 1.366 |
| 12 | GBRNorthern Europe | 1.309 |
| 13 | CHNEastern Asia | 1.301 |
| 14 | USANorthern America | 1.294 |
| 15 | IRLNorthern Europe | 1.265 |
| 16 | FRAWestern Europe | 1.235 |
| 17 | HUNEastern Europe | 1.234 |
| 18 | SVKEastern Europe | 1.230 |
| 19 | ISRWestern Asia | 1.213 |
| 20 | ITASouthern Europe | 1.186 |
| 21 | HKGEastern Asia | 1.178 |
| 22 | BELWestern Europe | 1.154 |
| 23 | DNKNorthern Europe | 1.069 |
| 24 | POLEastern Europe | 1.060 |
| 25 | ESTNorthern Europe | 1.042 |
| 26 | MYSSouth-eastern Asia | 1.031 |
| 27 | ROUEastern Europe | 1.020 |
| 28 | NLDWestern Europe | 1.007 |
| 29 | NORNorthern Europe | 0.962 |
| 30 | THASouth-eastern Asia | 0.954 |
| 31 | MEXCentral America | 0.953 |
| 32 | LTUNorthern Europe | 0.924 |
| 33 | CANNorthern America | 0.916 |
| 34 | BLREastern Europe | 0.892 |
| 35 | HRVSouthern Europe | 0.879 |
| 36 | ESPSouthern Europe | 0.833 |
| 37 | LVANorthern Europe | 0.804 |
| 38 | PHLSouth-eastern Asia | 0.732 |
| 39 | PRTSouthern Europe | 0.720 |
| 40 | RUSEastern Europe | 0.719 |
| 41 | PANCentral America | 0.718 |
| 42 | BGREastern Europe | 0.703 |
| 43 | AREWestern Asia | 0.701 |
| 44 | SRBSouthern Europe | 0.690 |
| 45 | INDSouthern Asia | 0.687 |
| 46 | SAUWestern Asia | 0.658 |
| 47 | BHRWestern Asia | 0.643 |
| 48 | CYPWestern Asia | 0.598 |
| 49 | UKREastern Europe | 0.597 |
| 50 | TURWestern Asia | 0.592 |
| 51 | BIHSouthern Europe | 0.568 |
| 52 | BRASouth America | 0.481 |
| 53 | NZLAustralia and New Zealand | 0.472 |
| 54 | ZAFSouthern Africa | 0.424 |
| 55 | VNMSouth-eastern Asia | 0.403 |
| 56 | TUNNorthern Africa | 0.382 |
| 57 | LBNWestern Asia | 0.335 |
| 58 | GRCSouthern Europe | 0.322 |
| 59 | KWTWestern Asia | 0.318 |
| 60 | IDNSouth-eastern Asia | 0.317 |
| 61 | CRICentral America | 0.257 |
| 62 | GEOWestern Asia | 0.234 |
| 63 | AUSAustralia and New Zealand | 0.203 |
| 64 | SWZSouthern Africa | 0.150 |
| 65 | COLSouth America | 0.140 |
| 66 | MKDSouthern Europe | 0.138 |
| 67 | QATWestern Asia | 0.104 |
| 68 | JORWestern Asia | 0.103 |
| 69 | ARMWestern Asia | 0.103 |
| 70 | MUSEastern Africa | 0.091 |
| 71 | ARGSouth America | 0.063 |
| 72 | TTOCaribbean | 0.060 |
| 73 | SLVCentral America | 0.030 |
| 74 | IRNSouthern Asia | 0.021 |
| 75 | MDAEastern Europe | -0.034 |
| 76 | CHLSouth America | -0.059 |
| 77 | OMNWestern Asia | -0.075 |
| 78 | URYSouth America | -0.086 |
| 79 | EGYNorthern Africa | -0.108 |
| 80 | KGZCentral Asia | -0.130 |
| 81 | DOMCaribbean | -0.156 |
| 82 | KAZCentral Asia | -0.177 |
| 83 | NPLSouthern Asia | -0.187 |
| 84 | GTMCentral America | -0.243 |
| 85 | BWASouthern Africa | -0.274 |
| 86 | ALBSouthern Europe | -0.292 |
| 87 | LKASouthern Asia | -0.322 |
| 88 | JAMCaribbean | -0.376 |
| 89 | MARNorthern Africa | -0.397 |
| 90 | NAMSouthern Africa | -0.422 |
| 91 | KENEastern Africa | -0.424 |
| 92 | KHMSouth-eastern Asia | -0.494 |
| 93 | PAKSouthern Asia | -0.498 |
| 94 | UZBCentral Asia | -0.530 |
| 95 | CUBCaribbean | -0.552 |
| 96 | MLIWestern Africa | -0.649 |
| 97 | RWAEastern Africa | -0.657 |
| 98 | ZMBEastern Africa | -0.671 |
| 99 | PERSouth America | -0.680 |
| 100 | PRYSouth America | -0.698 |
| 101 | NERWestern Africa | -0.705 |
| 102 | HNDCentral America | -0.720 |
| 103 | GABMiddle Africa | -0.784 |
| 104 | UGAEastern Africa | -0.785 |
| 105 | SENWestern Africa | -0.785 |
| 106 | AZEWestern Asia | -0.799 |
| 107 | BGDSouthern Asia | -0.854 |
| 108 | LAOSouth-eastern Asia | -0.960 |
| 109 | TZAEastern Africa | -0.961 |
| 110 | BFAWestern Africa | -1.010 |
| 111 | VENSouth America | -1.021 |
| 112 | TJKCentral Asia | -1.023 |
| 113 | GHAWestern Africa | -1.035 |
| 114 | DZANorthern Africa | -1.052 |
| 115 | LBRWestern Africa | -1.058 |
| 116 | ECUSouth America | -1.068 |
| 117 | ZWEEastern Africa | -1.089 |
| 118 | AGOMiddle Africa | -1.101 |
| 119 | ETHEastern Africa | -1.109 |
| 120 | TGOWestern Africa | -1.146 |
| 121 | CIVWestern Africa | -1.157 |
| 122 | NICCentral America | -1.176 |
| 123 | HTICaribbean | -1.178 |
| 124 | MWIEastern Africa | -1.180 |
| 125 | MMRSouth-eastern Asia | -1.185 |
| 126 | AFGSouthern Asia | -1.225 |
| 127 | CMRMiddle Africa | -1.234 |
| 128 | BENWestern Africa | -1.246 |
| 129 | TKMCentral Asia | -1.267 |
| 130 | MNGEastern Asia | -1.274 |
| 131 | BOLSouth America | -1.295 |
| 132 | COGMiddle Africa | -1.322 |
| 133 | MDGEastern Africa | -1.505 |
| 134 | PNGMelanesia | -1.514 |
| 135 | MOZEastern Africa | -1.533 |
| 136 | TCDMiddle Africa | -1.630 |
| 137 | IRQWestern Asia | -1.655 |
| 138 | MRTWestern Africa | -1.783 |
| 139 | LBYNorthern Africa | -1.922 |
| 140 | SDNNorthern Africa | -1.975 |
| 141 | NGAWestern Africa | -1.989 |
| 142 | CODMiddle Africa | -2.042 |
| 143 | YEMWestern Asia | -2.142 |
| 144 | GINWestern Africa | -2.160 |
| 145 | GNQMiddle Africa | -2.227 |
02In 2019
At either end
The 5 countries at each end of the headline.
Highest
- #1
Japan2.047
- #2
South Korea1.807
- #3
Switzerland1.758
- #4
Taiwan1.757
- #5
Singapore1.681
Lowest
- #145
Equatorial Guinea-2.227
- #144
Guinea-2.160
- #143
Yemen-2.142
- #142
DR Congo-2.042
- #141
Nigeria-1.989
A higher value is the better result. The middle country reads 0.030. “Shared” marks a value another country also holds.
032018 → 2019
Since 2018
What changed between 2018 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 145values changed, of 145 in both
- 77 · 68rose · fell
- 0unchanged
Rose most
Papua New Guinea-2.398 → -1.514+0.884
Angola-1.604 → -1.101+0.503
Chad-2.118 → -1.630+0.488
Kuwait-0.061 → 0.318+0.379
Cuba-0.894 → -0.552+0.342
Fell most
Tanzania-0.025 → -0.961−0.936
Benin-0.637 → -1.246−0.609
Guinea-1.708 → -2.160−0.452
Honduras-0.429 → -0.720−0.291
Mauritania-1.508 → -1.783−0.275
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 2019.
143 distinct values among 145
Values are stored exactly as published, to 3 decimals. 2 countries share 0.103. 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-2019-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 (2019). Economic Complexity Index, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/economic-complexity/2019
0630 held
Other years
‹ The year before
Economic Complexity Index, 2018145 countries
The year after ›
Economic Complexity Index, 2020145 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, 2019: questions and answers
Which country has the highest Economic Complexity Index in Economic Complexity Index, 2019?
Japan, at 2.047, of the 145 countries in the file.
What year does Economic Complexity Index, 2019 describe?
2019.
How many countries does Economic Complexity Index, 2019 cover?
145.
Where can I download Economic Complexity Index, 2019?
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, 2019 the newest?
No. The newest held here is Economic Complexity Index, 2024.