Data for 2015
Export Concentration Index, 2015
2015, as UNCTAD’s 2026 release gives it · stored as published, never rewritten
Export Concentration Index, 2015 covers 213 countries on 3 measures. South Sudan is highest, at 0.993961; Italy is lowest, at 0.051984. The middle country reads 0.308992. Against 2014, 213 values changed (99 up, 114 down), the same countries are covered.
Export Concentration Index · Data for 2015
HighestSouth Sudan
0.993961LowestItaly
0.051984Shaded by value in five groups of equal size, darkest at the highest end. Neither end is better. The values describe a shape, not a score.
01Values only
The table
Every country and every column of Export Concentration Index, 2015, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 213 countries · select a heading to sort
| 0.993961 | 0.75573 | 16 | — | |
| 0.968396 | 0.89611 | 109 | Estimated | |
| 0.928968 | 0.78376 | 5 | Estimated | |
| 0.911015 | 0.89364 | 134 | Estimated | |
| 0.872381 | 0.84859 | 47 | Estimated | |
| 0.867870 | 0.85893 | 7 | Estimated | |
| 0.805025 | 0.91407 | 159 | Estimated | |
| 0.780270 | 0.76591 | 11 | Estimated | |
| 0.779634 | 0.86497 | 94 | Estimated | |
| 0.775571 | 0.80423 | 9 | Estimated | |
| 0.768355 | 0.81212 | 163 | Estimated | |
| 0.752981 | 0.78977 | 7 | — | |
| 0.750763 | 0.74911 | 19 | Estimated | |
| 0.736924 | 0.80244 | 31 | — | |
| 0.734933 | 0.85418 | 203 | Estimated | |
| 0.732463 | 0.82942 | 205 | — | |
| 0.722977 | 0.89882 | 157 | Estimated | |
| 0.719872 | 0.78090 | 39 | — | |
| 0.711838 | 0.79331 | 33 | Estimated | |
| 0.709811 | 0.87282 | 46 | Estimated | |
| 0.680293 | 0.86273 | 184 | Estimated | |
| 0.671390 | 0.86562 | 38 | — | |
| 0.669194 | 0.62490 | 25 | Estimated | |
| 0.654113 | 0.86418 | 26 | Estimated | |
| 0.646720 | 0.86181 | 115 | — | |
| 0.640041 | 0.81192 | 130 | Estimated | |
| 0.638431 | 0.87165 | 104 | Estimated | |
| 0.637826 | 0.82468 | 20 | Estimated | |
| 0.615696 | 0.75221 | 22 | More than 30% of total trade under "931: Special transactions & commodities not classified" | |
| 0.610211 | 0.65209 | 22 | Estimated | |
| 0.610037 | 0.78587 | 8 | Estimated | |
| 0.609089 | 0.80784 | 214 | Estimated | |
| 0.606814 | 0.71118 | 18 | — | |
| 0.606410 | 0.84808 | 29 | Estimated | |
| 0.604758 | 0.78720 | 68 | Estimated | |
| 0.596151 | 0.78534 | 37 | Estimated | |
| 0.595888 | 0.84138 | 37 | Estimated | |
| 0.586736 | 0.91832 | 100 | Estimated | |
| 0.575900 | 0.86499 | 126 | Estimated | |
| 0.574199 | 0.83441 | 18 | Estimated | |
| 0.572757 | 0.72623 | 15 | Estimated | |
| 0.565151 | 0.81761 | 77 | Estimated | |
| 0.562758 | 0.79046 | 224 | — | |
| 0.562144 | 0.80896 | 93 | Estimated | |
| 0.560997 | 0.83517 | 110 | Estimated | |
| 0.558566 | 0.75986 | 45 | Estimated | |
| 0.548655 | 0.77148 | 243 | Estimated | |
| 0.532780 | 0.88645 | 114 | Estimated | |
| 0.526939 | 0.78418 | 18 | — | |
| 0.525922 | 0.76722 | 109 | — | |
| 0.512251 | 0.81356 | 198 | Estimated | |
| 0.511411 | 0.82531 | 26 | Estimated | |
| 0.504285 | 0.73579 | 17 | Estimated | |
| 0.499140 | 0.78897 | 79 | Estimated | |
| 0.496775 | 0.83190 | 119 | Estimated | |
| 0.496191 | 0.81312 | 19 | Estimated | |
| 0.485238 | 0.78268 | 91 | — | |
| 0.481278 | 0.80295 | 84 | Estimated | |
| 0.476622 | 0.81411 | 86 | Estimated | |
| 0.472289 | 0.71478 | 19 | Estimated | |
| 0.459715 | 0.79937 | 104 | — | |
| 0.450400 | 0.80750 | 132 | — | |
| 0.446831 | 0.80898 | 195 | Estimated | |
| 0.445233 | 0.67215 | 164 | Estimated | |
| 0.444863 | 0.69124 | 82 | Estimated | |
| 0.441770 | 0.77047 | 20 | — | |
| 0.436025 | 0.83358 | 159 | Estimated | |
| 0.434764 | 0.87102 | 82 | Estimated | |
| 0.434451 | 0.64436 | 36 | Estimated | |
| 0.424367 | 0.68122 | 224 | Estimated | |
| 0.422106 | 0.84314 | 85 | Estimated | |
| 0.420165 | 0.76097 | 193 | Estimated | |
| 0.413630 | 0.62404 | 22 | Estimated | |
| 0.413426 | 0.65127 | 153 | — | |
| 0.408548 | 0.88752 | 185 | Estimated | |
| 0.403465 | 0.77111 | 57 | Estimated | |
| 0.398600 | 0.84595 | 86 | Estimated | |
| 0.381176 | 0.77210 | 26 | Estimated | |
| 0.378116 | 0.78933 | 167 | Estimated | |
| 0.378053 | 0.80673 | 164 | Estimated | |
| 0.374990 | 0.81797 | 39 | Estimated | |
| 0.371876 | 0.79158 | 200 | — | |
| 0.359581 | 0.85156 | 80 | Estimated | |
| 0.358415 | 0.82037 | 69 | Estimated | |
| 0.356224 | 0.69309 | 35 | Estimated | |
| 0.354111 | 0.65552 | 232 | — | |
| 0.353773 | 0.75884 | 29 | Estimated | |
| 0.351253 | 0.65426 | 176 | Estimated | |
| 0.347385 | 0.78464 | 77 | Estimated | |
| 0.345690 | 0.81142 | 116 | Estimated | |
| 0.341842 | 0.76811 | 186 | Estimated | |
| 0.340829 | 0.78727 | 166 | Estimated | |
| 0.339577 | 0.69243 | 244 | Estimated | |
| 0.335397 | 0.69764 | 187 | — | |
| 0.333462 | 0.63707 | 236 | — | |
| 0.332715 | 0.72150 | 21 | Estimated | |
| 0.332459 | 0.61918 | 100 | Estimated | |
| 0.329322 | 0.84263 | 174 | Estimated | |
| 0.327512 | 0.66217 | 223 | Estimated | |
| 0.327059 | 0.76579 | 118 | Estimated | |
| 0.324667 | 0.81289 | 140 | Estimated | |
| 0.321505 | 0.61402 | 35 | Estimated | |
| 0.318822 | 0.75496 | 232 | — | |
| 0.316225 | 0.64410 | 253 | — | |
| 0.315183 | 0.84368 | 161 | Estimated | |
| 0.311280 | 0.82726 | 153 | Estimated | |
| 0.308992 | 0.79823 | 52 | — | |
| 0.301855 | 0.83736 | 153 | Estimated | |
| 0.300987 | 0.83580 | 74 | Estimated | |
| 0.295742 | 0.67494 | 32 | Estimated | |
| 0.294187 | 0.79553 | 196 | Estimated | |
| 0.293941 | 0.81551 | 131 | Estimated | |
| 0.293528 | 0.79618 | 113 | Estimated | |
| 0.286633 | 0.80644 | 153 | Estimated | |
| 0.281998 | 0.58569 | 27 | — | |
| 0.278991 | 0.57318 | 237 | — | |
| 0.276155 | 0.75488 | 107 | Estimated | |
| 0.275752 | 0.69443 | 29 | Estimated | |
| 0.273351 | 0.58154 | 227 | — | |
| 0.273101 | 0.76308 | 197 | Estimated | |
| 0.267422 | 0.64106 | 246 | — | |
| 0.266047 | 0.76570 | 168 | Estimated | |
| 0.262102 | 0.78571 | 204 | Estimated | |
| 0.253235 | 0.56058 | 244 | — | |
| 0.251039 | 0.77933 | 149 | Estimated | |
| 0.249973 | 0.48283 | 244 | — | |
| 0.249822 | 0.55842 | 245 | — | |
| 0.243347 | 0.68744 | 239 | — | |
| 0.241774 | 0.52740 | 258 | Estimated | |
| 0.235535 | 0.67459 | 254 | Estimated | |
| 0.235416 | 0.72101 | 118 | Estimated | |
| 0.231571 | 0.73040 | 193 | Estimated | |
| 0.231076 | 0.76394 | 27 | Estimated | |
| 0.230990 | 0.47114 | 257 | Estimated | |
| 0.230117 | 0.73783 | 198 | Estimated | |
| 0.229043 | 0.73510 | 237 | Estimated | |
| 0.226399 | 0.59594 | 239 | Estimated | |
| 0.224471 | 0.81017 | 158 | Estimated | |
| 0.223853 | 0.64572 | 217 | Estimated | |
| 0.222940 | 0.69338 | 30 | Estimated | |
| 0.222750 | 0.69230 | 101 | — | |
| 0.218467 | 0.69183 | 231 | Estimated | |
| 0.218135 | 0.70905 | 192 | — | |
| 0.217902 | 0.70246 | 161 | Estimated | |
| 0.208875 | 0.75015 | 138 | Estimated | |
| 0.206776 | 0.66153 | 204 | Estimated | |
| 0.205614 | 0.54944 | 79 | Estimated | |
| 0.204961 | 0.73829 | 213 | Estimated | |
| 0.202381 | 0.76747 | 216 | — | |
| 0.200867 | 0.72865 | 163 | Estimated | |
| 0.199587 | 0.71580 | 198 | Estimated | |
| 0.199131 | 0.54554 | 39 | — | |
| 0.196265 | 0.64632 | 210 | — | |
| 0.195858 | 0.64819 | 240 | — | |
| 0.191197 | 0.56741 | 245 | — | |
| 0.190619 | 0.67597 | 185 | Estimated | |
| 0.186365 | 0.67758 | 144 | Estimated | |
| 0.185951 | 0.64768 | 73 | Estimated | |
| 0.185034 | 0.68614 | 223 | Estimated | |
| 0.183921 | 0.73369 | 187 | Estimated | |
| 0.183456 | 0.45158 | 246 | — | |
| 0.183167 | 0.64432 | 183 | — | |
| 0.174067 | 0.57263 | 225 | Estimated | |
| 0.169554 | 0.43965 | 254 | — | |
| 0.166016 | 0.68740 | 233 | — | |
| 0.165760 | 0.66915 | 228 | Estimated | |
| 0.165446 | 0.64246 | 199 | Estimated | |
| 0.161889 | 0.66995 | 174 | — | |
| 0.160776 | 0.60616 | 129 | Estimated | |
| 0.151404 | 0.62057 | 125 | Estimated | |
| 0.147719 | 0.43560 | 246 | — | |
| 0.141731 | 0.57277 | 244 | Estimated | |
| 0.141049 | 0.50571 | 237 | — | |
| 0.141038 | 0.51856 | 211 | — | |
| 0.140180 | 0.68533 | 227 | Estimated | |
| 0.139521 | 0.37611 | 255 | — | |
| 0.137785 | 0.75020 | 111 | Estimated | |
| 0.137765 | 0.54773 | 243 | — | |
| 0.135279 | 0.43209 | 243 | — | |
| 0.134918 | 0.68180 | 244 | — | |
| 0.132846 | 0.45583 | 244 | — | |
| 0.131841 | 0.56235 | 252 | — | |
| 0.124289 | 0.40680 | 244 | — | |
| 0.122943 | 0.40675 | 250 | Estimated | |
| 0.122008 | 0.50931 | 252 | — | |
| 0.119711 | 0.43594 | 254 | — | |
| 0.118424 | 0.40535 | 252 | — | |
| 0.115865 | 0.46816 | 237 | — | |
| 0.112222 | 0.34379 | 258 | — | |
| 0.104348 | 0.43894 | 248 | Estimated | |
| 0.104071 | 0.41983 | 257 | — | |
| 0.103779 | 0.31659 | 257 | — | |
| 0.103298 | 0.42179 | 244 | — | |
| 0.102585 | 0.33664 | 255 | — | |
| 0.101819 | 0.53573 | 246 | Estimated | |
| 0.101639 | 0.60655 | 219 | Estimated | |
| 0.101158 | 0.44914 | 246 | Estimated | |
| 0.097704 | 0.33145 | 257 | — | |
| 0.096864 | 0.24662 | 258 | — | |
| 0.096634 | 0.47372 | 251 | Estimated | |
| 0.096385 | 0.59921 | 226 | Estimated | |
| 0.090876 | 0.49813 | 244 | — | |
| 0.089544 | 0.37661 | 258 | — | |
| 0.089542 | 0.34792 | 252 | — | |
| 0.082825 | 0.33224 | 256 | Estimated | |
| 0.078090 | 0.42404 | 246 | — | |
| 0.076498 | 0.36753 | 250 | — | |
| 0.074771 | 0.43883 | 253 | Estimated | |
| 0.071510 | 0.42012 | 252 | — | |
| 0.068999 | 0.43550 | 241 | — | |
| 0.065250 | 0.37215 | 254 | — | |
| 0.060946 | 0.36055 | 247 | — | |
| 0.051984 | 0.35082 | 258 | — |
02In 2015
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
South Sudan0.993961
Iraq0.968396
Kiribati0.928968
Angola0.911015
Chad0.872381
Neither end is better. The values describe a shape, not a score. The middle country reads 0.308992. “Shared” marks a value another country also holds.
Each measure’s ends
Export diversification index (0–1)
Highest
New Caledonia0.91832
Lowest
United States0.24662
Middle country: 0.72865
Products exported (SITC 3-digit groups)
Highest5 share it
Lowest
Kiribati5
Middle country: 164
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
- 213values changed, of 213 in both
- 99 · 114rose · fell
- 0unchanged
Rose most
Timor-Leste0.539220 → 0.867870+0.328650
Bermuda0.375328 → 0.610037+0.234709
DR Congo0.305159 → 0.532780+0.227621
British Virgin Islands0.254718 → 0.441770+0.187052
Kiribati0.803245 → 0.928968+0.125723
Fell most
Sierra Leone0.652346 → 0.293528−0.358818
Macau0.394350 → 0.160776−0.233574
Palau0.692464 → 0.472289−0.220175
Costa Rica0.431483 → 0.223853−0.207630
Saudi Arabia0.701528 → 0.548655−0.152873
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 UNCTAD’s 2026 release, recalculated on one method. It can differ from what was first published for 2015.
Which end is better
Neither end is better. The values describe a shape, not a score.
74 empty cells
An empty cell means the publisher gave no figure. It is never a zero.
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
213 rows · 11 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download export-concentration-2015-nations-inquiry.csv - ↗
The publisher’s original
UNCTAD’s own file, on its own site.
US_ConcentDiversIndices
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: CC BY 3.0 IGO. The version of CC BY written for intergovernmental organisations. Credit the publisher and say what you changed.
Cite this edition
UN Trade and Development (UNCTAD) (2015). Export Concentration Index, 2015 [data set], describing 2015. As held by Nations Inquiry, https://nationsinquiry.com/datasets/export-concentration/2015
0631 held
Other years
‹ The year before
Export Concentration Index, 2014213 countries
The year after ›
Export Concentration Index, 2016213 countries
All of them
Export Concentration Index: every year31 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Export Concentration Index, 2015: questions and answers
Which country has the highest export concentration in Export Concentration Index, 2015?
South Sudan, at 0.993961, of the 213 countries in the file.
What year does Export Concentration Index, 2015 describe?
2015.
How many countries does Export Concentration Index, 2015 cover?
213.
Where can I download Export Concentration 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 Export Concentration Index, 2015 the newest?
No. The newest held here is Export Concentration Index, 2025.