Data for 1998
Economic Complexity Index, 1998
1998, as Growth Lab at Harvard University’s 2026 release gives it · stored as published, never rewritten
Economic Complexity Index, 1998 covers 140 countries. Japan is highest, at 1.879; DR Congo is lowest, at -2.482. The middle country reads 0.201. Against 1997, 140 values changed (63 up, 77 down), the same countries are covered.
Economic Complexity Index · Data for 1998
HighestJapan
1.879LowestDR Congo
-2.482Shaded 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, 1998, as published. The rank is Growth Lab at Harvard University’s own, as printed. “=” marks a shared position.
Showing 25 of 140 countries · select a heading to sort
| 1 | JPNEastern Asia | 1.879 |
| 2 | CHEWestern Europe | 1.575 |
| 3 | SWENorthern Europe | 1.560 |
| 4 | DEUWestern Europe | 1.503 |
| 5 | FINNorthern Europe | 1.493 |
| 6 | AUTWestern Europe | 1.376 |
| 7 | GBRNorthern Europe | 1.313 |
| 8 | TWNEastern Asia | 1.277 |
| 9 | CZEEastern Europe | 1.251 |
| 10 | NORNorthern Europe | 1.236 |
| 11 | USANorthern America | 1.209 |
| 12 | SVNSouthern Europe | 1.208 |
| 13 | FRAWestern Europe | 1.202 |
| 14 | IRLNorthern Europe | 1.182 |
| 15 | ITASouthern Europe | 1.176 |
| 16 | BELWestern Europe | 1.148 |
| 17 | KOREastern Asia | 1.146 |
| 18 | RUSEastern Europe | 1.104 |
| 19 | CANNorthern America | 1.104 |
| 20 | ISRWestern Asia | 1.057 |
| 21 | SVKEastern Europe | 1.055 |
| 22 | DNKNorthern Europe | 1.005 |
| 23 | NLDWestern Europe | 0.996 |
| 24 | ESPSouthern Europe | 0.988 |
| 25 | UKREastern Europe | 0.970 |
| 26 | BLREastern Europe | 0.941 |
| 27 | SGPSouth-eastern Asia | 0.930 |
| 28 | HUNEastern Europe | 0.909 |
| 29 | POLEastern Europe | 0.888 |
| 30 | HKGEastern Asia | 0.888 |
| 31 | BRASouth America | 0.845 |
| 32 | MEXCentral America | 0.783 |
| 33 | ARMWestern Asia | 0.777 |
| 34 | SAUWestern Asia | 0.724 |
| 35 | LBYNorthern Africa | 0.685 |
| 36 | CHNEastern Asia | 0.671 |
| 37 | HRVSouthern Europe | 0.669 |
| 38 | ESTNorthern Europe | 0.664 |
| 39 | NZLAustralia and New Zealand | 0.657 |
| 40 | AUSAustralia and New Zealand | 0.654 |
| 41 | GEOWestern Asia | 0.618 |
| 42 | MYSSouth-eastern Asia | 0.618 |
| 43 | BGREastern Europe | 0.617 |
| 44 | PRTSouthern Europe | 0.598 |
| 45 | ROUEastern Europe | 0.596 |
| 46 | LVANorthern Europe | 0.587 |
| 47 | LTUNorthern Europe | 0.574 |
| 48 | ARGSouth America | 0.564 |
| 49 | KAZCentral Asia | 0.561 |
| 50 | VENSouth America | 0.542 |
| 51 | KGZCentral Asia | 0.532 |
| 52 | KWTWestern Asia | 0.495 |
| 53 | CYPWestern Asia | 0.492 |
| 54 | INDSouthern Asia | 0.472 |
| 55 | AZEWestern Asia | 0.444 |
| 56 | TURWestern Asia | 0.416 |
| 57 | THASouth-eastern Asia | 0.405 |
| 58 | GRCSouthern Europe | 0.398 |
| 59 | AREWestern Asia | 0.374 |
| 60 | LBNWestern Asia | 0.361 |
| 61 | PANCentral America | 0.352 |
| 62 | QATWestern Asia | 0.347 |
| 63 | BHRWestern Asia | 0.346 |
| 64 | MKDSouthern Europe | 0.339 |
| 65 | JORWestern Asia | 0.339 |
| 66 | COLSouth America | 0.312 |
| 67 | BIHSouthern Europe | 0.294 |
| 68 | TTOCaribbean | 0.273 |
| 69 | CHLSouth America | 0.268 |
| 70 | URYSouth America | 0.252 |
| 71 | MDAEastern Europe | 0.150 |
| 72 | TUNNorthern Africa | 0.128 |
| 73 | IDNSouth-eastern Asia | 0.054 |
| 74 | PHLSouth-eastern Asia | 0.015 |
| 75 | EGYNorthern Africa | -0.048 |
| 76 | OMNWestern Asia | -0.056 |
| 77 | SLVCentral America | -0.065 |
| 78 | UZBCentral Asia | -0.082 |
| 79 | IRNSouthern Asia | -0.122 |
| 80 | CRICentral America | -0.180 |
| 81 | GTMCentral America | -0.186 |
| 82 | DZANorthern Africa | -0.203 |
| 83 | TKMCentral Asia | -0.224 |
| 84 | KENEastern Africa | -0.226 |
| 85 | PERSouth America | -0.296 |
| 86 | IRQWestern Asia | -0.307 |
| 87 | MUSEastern Africa | -0.341 |
| 88 | ALBSouthern Europe | -0.355 |
| 89 | TJKCentral Asia | -0.376 |
| 90 | SENWestern Africa | -0.407 |
| 91 | MARNorthern Africa | -0.494 |
| 92 | PAKSouthern Asia | -0.525 |
| 93 | CUBCaribbean | -0.537 |
| 94 | ZWEEastern Africa | -0.581 |
| 95 | MNGEastern Asia | -0.610 |
| 96 | ZMBEastern Africa | -0.613 |
| 97 | NPLSouthern Asia | -0.619 |
| 98 | RWAEastern Africa | -0.645 |
| 99 | PRYSouth America | -0.665 |
| 100 | ECUSouth America | -0.709 |
| 101 | VNMSouth-eastern Asia | -0.715 |
| 102 | AFGSouthern Asia | -0.725 |
| 103 | HNDCentral America | -0.730 |
| 104 | NERWestern Africa | -0.742 |
| 105 | BOLSouth America | -0.744 |
| 106 | BFAWestern Africa | -0.748 |
| 107 | YEMWestern Asia | -0.755 |
| 108 | DOMCaribbean | -0.785 |
| 109 | JAMCaribbean | -0.807 |
| 110 | GABMiddle Africa | -0.818 |
| 111 | LKASouthern Asia | -0.863 |
| 112 | CIVWestern Africa | -0.874 |
| 113 | TGOWestern Africa | -0.883 |
| 114 | NICCentral America | -0.950 |
| 115 | BGDSouthern Asia | -0.990 |
| 116 | TZAEastern Africa | -1.025 |
| 117 | MLIWestern Africa | -1.044 |
| 118 | BENWestern Africa | -1.060 |
| 119 | UGAEastern Africa | -1.167 |
| 120 | TCDMiddle Africa | -1.206 |
| 121 | LBRWestern Africa | -1.251 |
| 122 | HTICaribbean | -1.350 |
| 123 | MDGEastern Africa | -1.462 |
| 124 | GHAWestern Africa | -1.470 |
| 125 | SDNNorthern Africa | -1.485 |
| 126 | MRTWestern Africa | -1.506 |
| 127 | MWIEastern Africa | -1.627 |
| 128 | MOZEastern Africa | -1.637 |
| 129 | LAOSouth-eastern Asia | -1.657 |
| 130 | AGOMiddle Africa | -1.730 |
| 131 | PNGMelanesia | -1.740 |
| 132 | ETHEastern Africa | -1.774 |
| 133 | NGAWestern Africa | -1.843 |
| 134 | KHMSouth-eastern Asia | -1.862 |
| 135 | MMRSouth-eastern Asia | -1.928 |
| 136 | GINWestern Africa | -2.132 |
| 137 | CMRMiddle Africa | -2.199 |
| 138 | COGMiddle Africa | -2.329 |
| 139 | GNQMiddle Africa | -2.425 |
| 140 | CODMiddle Africa | -2.482 |
02In 1998
At either end
The 5 countries at each end of the headline.
Highest
- #1
Japan1.879
- #2
Switzerland1.575
- #3
Sweden1.560
- #4
Germany1.503
- #5
Finland1.493
Lowest
- #140
DR Congo-2.482
- #139
Equatorial Guinea-2.425
- #138
Republic of the Congo-2.329
- #137
Cameroon-2.199
- #136
Guinea-2.132
A higher value is the better result. The middle country reads 0.201. “Shared” marks a value another country also holds.
031997 → 1998
Since 1997
What changed between 1997 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 140values changed, of 140 in both
- 63 · 77rose · fell
- 0unchanged
Rose most
Papua New Guinea-2.812 → -1.740+1.072
Mauritania-2.092 → -1.506+0.586
Kyrgyzstan0.066 → 0.532+0.466
Qatar-0.117 → 0.347+0.464
Tanzania-1.410 → -1.025+0.385
Fell most
Cameroon-1.290 → -2.199−0.909
Laos-0.962 → -1.657−0.695
Mozambique-0.991 → -1.637−0.646
Zimbabwe-0.049 → -0.581−0.532
Afghanistan-0.255 → -0.725−0.470
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 1998.
136 distinct values among 140
Values are stored exactly as published, to 3 decimals. 2 countries share 1.104. 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 140 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
140 rows · 4.4 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download economic-complexity-1998-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 (1998). Economic Complexity Index, 1998 [data set], describing 1998. As held by Nations Inquiry, https://nationsinquiry.com/datasets/economic-complexity/1998
0630 held
Other years
‹ The year before
Economic Complexity Index, 1997140 countries
The year after ›
Economic Complexity Index, 1999140 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, 1998: questions and answers
Which country has the highest Economic Complexity Index in Economic Complexity Index, 1998?
Japan, at 1.879, of the 140 countries in the file.
What year does Economic Complexity Index, 1998 describe?
1998.
How many countries does Economic Complexity Index, 1998 cover?
140.
Where can I download Economic Complexity Index, 1998?
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, 1998 the newest?
No. The newest held here is Economic Complexity Index, 2024.