Data for 2015
Export Concentration Index, 2015
2015, as UNCTAD’s 2026 release gives it · stored as published, never rewritten
The export concentration index measures how far a country's merchandise exports are concentrated in a few products rather than spread across many. It runs from 0, exports spread evenly across every product group, to 1, a single product — the classic measure of how exposed a country's export earnings are to the price of one or two goods.
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.
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
SSDEastern Africa | 0.993961 | 0.75573 | 16 | — |
IRQWestern Asia | 0.968396 | 0.89611 | 109 | Estimated |
KIRMicronesia | 0.928968 | 0.78376 | 5 | Estimated |
AGOMiddle Africa | 0.911015 | 0.89364 | 134 | Estimated |
TCDMiddle Africa | 0.872381 | 0.84859 | 47 | Estimated |
TLSSouth-eastern Asia | 0.867870 | 0.85893 | 7 | Estimated |
BWASouthern Africa | 0.805025 | 0.91407 | 159 | Estimated |
GNBWestern Africa | 0.780270 | 0.76591 | 11 | Estimated |
TKMCentral Asia | 0.779634 | 0.86497 | 94 | Estimated |
CYMCaribbean | 0.775571 | 0.80423 | 9 | Estimated |
AZEWestern Asia | 0.768355 | 0.81212 | 163 | Estimated |
MHLMicronesia | 0.752981 | 0.78977 | 7 | — |
FSMMicronesia | 0.750763 | 0.74911 | 19 | Estimated |
SOMEastern Africa | 0.736924 | 0.80244 | 31 | — |
NGAWestern Africa | 0.734933 | 0.85418 | 203 | Estimated |
VENSouth America | 0.732463 | 0.82942 | 205 | — |
MLIWestern Africa | 0.722977 | 0.89882 | 157 | Estimated |
GIBSouthern Europe | 0.719872 | 0.78090 | 39 | — |
MDVSouthern Asia | 0.711838 | 0.79331 | 33 | Estimated |
FRONorthern Europe | 0.709811 | 0.87282 | 46 | Estimated |
ZMBEastern Africa | 0.680293 | 0.86273 | 184 | Estimated |
GNQMiddle Africa | 0.671390 | 0.86562 | 38 | — |
STPMiddle Africa | 0.669194 | 0.62490 | 25 | Estimated |
LBRWestern Africa | 0.654113 | 0.86418 | 26 | Estimated |
BRNSouth-eastern Asia | 0.646720 | 0.86181 | 115 | — |
LBYNorthern Africa | 0.640041 | 0.81192 | 130 | Estimated |
BFAWestern Africa | 0.638431 | 0.87165 | 104 | Estimated |
VCTCaribbean | 0.637826 | 0.82468 | 20 | Estimated |
SXMCaribbean | 0.615696 | 0.75221 | 22 | More than 30% of total trade under "931: Special transactions & commodities not classified" |
TUVPolynesia | 0.610211 | 0.65209 | 22 | Estimated |
BMUNorthern America | 0.610037 | 0.78587 | 8 | Estimated |
KWTWestern Asia | 0.609089 | 0.80784 | 214 | Estimated |
NRUMicronesia | 0.606814 | 0.71118 | 18 | — |
SLBMelanesia | 0.606410 | 0.84808 | 29 | Estimated |
CUWCaribbean | 0.604758 | 0.78720 | 68 | Estimated |
PYFPolynesia | 0.596151 | 0.78534 | 37 | Estimated |
BHSCaribbean | 0.595888 | 0.84138 | 37 | Estimated |
NCLMelanesia | 0.586736 | 0.91832 | 100 | Estimated |
GABMiddle Africa | 0.575900 | 0.86499 | 126 | Estimated |
ATGCaribbean | 0.574199 | 0.83441 | 18 | Estimated |
COMEastern Africa | 0.572757 | 0.72623 | 15 | Estimated |
HTICaribbean | 0.565151 | 0.81761 | 77 | Estimated |
KAZCentral Asia | 0.562758 | 0.79046 | 224 | — |
SURSouth America | 0.562144 | 0.80896 | 93 | Estimated |
COGMiddle Africa | 0.560997 | 0.83517 | 110 | Estimated |
ERIEastern Africa | 0.558566 | 0.75986 | 45 | Estimated |
SAUWestern Asia | 0.548655 | 0.77148 | 243 | Estimated |
CODMiddle Africa | 0.532780 | 0.88645 | 114 | Estimated |
GRLNorthern America | 0.526939 | 0.78418 | 18 | — |
JAMCaribbean | 0.525922 | 0.76722 | 109 | — |
QATWestern Asia | 0.512251 | 0.81356 | 198 | Estimated |
BDIEastern Africa | 0.511411 | 0.82531 | 26 | Estimated |
COKPolynesia | 0.504285 | 0.73579 | 17 | Estimated |
SYCEastern Africa | 0.499140 | 0.78897 | 79 | Estimated |
MNGEastern Asia | 0.496775 | 0.83190 | 119 | Estimated |
CPVWestern Africa | 0.496191 | 0.81312 | 19 | Estimated |
DZANorthern Africa | 0.485238 | 0.78268 | 91 | — |
YEMWestern Asia | 0.481278 | 0.80295 | 84 | Estimated |
GINWestern Africa | 0.476622 | 0.81411 | 86 | Estimated |
PLWMicronesia | 0.472289 | 0.71478 | 19 | Estimated |
MWIEastern Africa | 0.459715 | 0.79937 | 104 | — |
ISLNorthern Europe | 0.450400 | 0.80750 | 132 | — |
GHAWestern Africa | 0.446831 | 0.80898 | 195 | Estimated |
KGZCentral Asia | 0.445233 | 0.67215 | 164 | Estimated |
LCACaribbean | 0.444863 | 0.69124 | 82 | Estimated |
VGBCaribbean | 0.441770 | 0.77047 | 20 | — |
BOLSouth America | 0.436025 | 0.83358 | 159 | Estimated |
GUYSouth America | 0.434764 | 0.87102 | 82 | Estimated |
GUMMicronesia | 0.434451 | 0.64436 | 36 | Estimated |
OMNWestern Asia | 0.424367 | 0.68122 | 224 | Estimated |
SDNNorthern Africa | 0.422106 | 0.84314 | 85 | Estimated |
CIVWestern Africa | 0.420165 | 0.76097 | 193 | Estimated |
MSRCaribbean | 0.413630 | 0.62404 | 22 | Estimated |
CYPWestern Asia | 0.413426 | 0.65127 | 153 | — |
BGDSouthern Asia | 0.408548 | 0.88752 | 185 | Estimated |
ABWCaribbean | 0.403465 | 0.77111 | 57 | Estimated |
NERWestern Africa | 0.398600 | 0.84595 | 86 | Estimated |
TONPolynesia | 0.381176 | 0.77210 | 26 | Estimated |
CMRMiddle Africa | 0.378116 | 0.78933 | 167 | Estimated |
MMRSouth-eastern Asia | 0.378053 | 0.80673 | 164 | Estimated |
GMBWestern Africa | 0.374990 | 0.81797 | 39 | Estimated |
ECUSouth America | 0.371876 | 0.79158 | 200 | — |
MRTWestern Africa | 0.359581 | 0.85156 | 80 | Estimated |
AFGSouthern Asia | 0.358415 | 0.82037 | 69 | Estimated |
WSMPolynesia | 0.356224 | 0.69309 | 35 | Estimated |
COLSouth America | 0.354111 | 0.65552 | 232 | — |
CAFMiddle Africa | 0.353773 | 0.75884 | 29 | Estimated |
MLTSouthern Europe | 0.351253 | 0.65426 | 176 | Estimated |
TJKCentral Asia | 0.347385 | 0.78464 | 77 | Estimated |
BENWestern Africa | 0.345690 | 0.81142 | 116 | Estimated |
TTOCaribbean | 0.341842 | 0.76811 | 186 | Estimated |
SWZSouthern Africa | 0.340829 | 0.78727 | 166 | Estimated |
IRNSouthern Asia | 0.339577 | 0.69243 | 244 | Estimated |
PRKEastern Asia | 0.335397 | 0.69764 | 187 | — |
NORNorthern Europe | 0.333462 | 0.63707 | 236 | — |
KNACaribbean | 0.332715 | 0.72150 | 21 | Estimated |
ASMPolynesia | 0.332459 | 0.61918 | 100 | Estimated |
ZWEEastern Africa | 0.329322 | 0.84263 | 174 | Estimated |
BHRWestern Asia | 0.327512 | 0.66217 | 223 | Estimated |
RWAEastern Africa | 0.327059 | 0.76579 | 118 | Estimated |
ETHEastern Africa | 0.324667 | 0.81289 | 140 | Estimated |
AIACaribbean | 0.321505 | 0.61402 | 35 | Estimated |
CHLSouth America | 0.318822 | 0.75496 | 232 | — |
RUSEastern Europe | 0.316225 | 0.64410 | 253 | — |
PRYSouth America | 0.315183 | 0.84368 | 161 | Estimated |
KHMSouth-eastern Asia | 0.311280 | 0.82726 | 153 | Estimated |
BTNSouthern Asia | 0.308992 | 0.79823 | 52 | — |
PNGMelanesia | 0.301855 | 0.83736 | 153 | Estimated |
LSOSouthern Africa | 0.300987 | 0.83580 | 74 | Estimated |
DMACaribbean | 0.295742 | 0.67494 | 32 | Estimated |
NAMSouthern Africa | 0.294187 | 0.79553 | 196 | Estimated |
MDGEastern Africa | 0.293941 | 0.81551 | 131 | Estimated |
SLEWestern Africa | 0.293528 | 0.79618 | 113 | Estimated |
MOZEastern Africa | 0.286633 | 0.80644 | 153 | Estimated |
MNPMicronesia | 0.281998 | 0.58569 | 27 | — |
PHLSouth-eastern Asia | 0.278991 | 0.57318 | 237 | — |
BLZCentral America | 0.276155 | 0.75488 | 107 | Estimated |
TCACaribbean | 0.275752 | 0.69443 | 29 | Estimated |
ISRWestern Asia | 0.273351 | 0.58154 | 227 | — |
UZBCentral Asia | 0.273101 | 0.76308 | 197 | Estimated |
CHEWestern Europe | 0.267422 | 0.64106 | 246 | — |
CUBCaribbean | 0.266047 | 0.76570 | 168 | Estimated |
TZAEastern Africa | 0.262102 | 0.78571 | 204 | Estimated |
GRCSouthern Europe | 0.253235 | 0.56058 | 244 | — |
ARMWestern Asia | 0.251039 | 0.77933 | 149 | Estimated |
TWNEastern Asia | 0.249973 | 0.48283 | 244 | — |
HKGEastern Asia | 0.249822 | 0.55842 | 245 | — |
IRLNorthern Europe | 0.243347 | 0.68744 | 239 | — |
AREWestern Asia | 0.241774 | 0.52740 | 258 | Estimated |
AUSAustralia and New Zealand | 0.235535 | 0.67459 | 254 | Estimated |
TGOWestern Africa | 0.235416 | 0.72101 | 118 | Estimated |
SENWestern Africa | 0.231571 | 0.73040 | 193 | Estimated |
VUTMelanesia | 0.231076 | 0.76394 | 27 | Estimated |
SGPSouth-eastern Asia | 0.230990 | 0.47114 | 257 | Estimated |
HNDCentral America | 0.230117 | 0.73783 | 198 | Estimated |
PERSouth America | 0.229043 | 0.73510 | 237 | Estimated |
BLREastern Europe | 0.226399 | 0.59594 | 239 | Estimated |
NICCentral America | 0.224471 | 0.81017 | 158 | Estimated |
CRICentral America | 0.223853 | 0.64572 | 217 | Estimated |
GRDCaribbean | 0.222940 | 0.69338 | 30 | Estimated |
MNESouthern Europe | 0.222750 | 0.69230 | 101 | — |
KENEastern Africa | 0.218467 | 0.69183 | 231 | Estimated |
URYSouth America | 0.218135 | 0.70905 | 192 | — |
ALBSouthern Europe | 0.217902 | 0.70246 | 161 | Estimated |
LAOSouth-eastern Asia | 0.208875 | 0.75015 | 138 | Estimated |
SLVCentral America | 0.206776 | 0.66153 | 204 | Estimated |
ANDSouthern Europe | 0.205614 | 0.54944 | 79 | Estimated |
LKASouthern Asia | 0.204961 | 0.73829 | 213 | Estimated |
PAKSouthern Asia | 0.202381 | 0.76747 | 216 | — |
FJIMelanesia | 0.200867 | 0.72865 | 163 | Estimated |
MKDSouthern Europe | 0.199587 | 0.71580 | 198 | Estimated |
NIUPolynesia | 0.199131 | 0.54554 | 39 | — |
JORWestern Asia | 0.196265 | 0.64632 | 210 | — |
ARGSouth America | 0.195858 | 0.64819 | 240 | — |
VNMSouth-eastern Asia | 0.191197 | 0.56741 | 245 | — |
MUSEastern Africa | 0.190619 | 0.67597 | 185 | Estimated |
PSEWestern Asia | 0.186365 | 0.67758 | 144 | Estimated |
DJIEastern Africa | 0.185951 | 0.64768 | 73 | Estimated |
DOMCaribbean | 0.185034 | 0.68614 | 223 | Estimated |
UGAEastern Africa | 0.183921 | 0.73369 | 187 | Estimated |
SVKEastern Europe | 0.183456 | 0.45158 | 246 | — |
GEOWestern Asia | 0.183167 | 0.64432 | 183 | — |
PANCentral America | 0.174067 | 0.57263 | 225 | Estimated |
MYSSouth-eastern Asia | 0.169554 | 0.43965 | 254 | — |
NZLAustralia and New Zealand | 0.166016 | 0.68740 | 233 | — |
MARNorthern Africa | 0.165760 | 0.66915 | 228 | Estimated |
SYRWestern Asia | 0.165446 | 0.64246 | 199 | Estimated |
MDAEastern Europe | 0.161889 | 0.66995 | 174 | — |
MACEastern Asia | 0.160776 | 0.60616 | 129 | Estimated |
BRBCaribbean | 0.151404 | 0.62057 | 125 | Estimated |
KOREastern Asia | 0.147719 | 0.43560 | 246 | — |
EGYNorthern Africa | 0.141731 | 0.57277 | 244 | Estimated |
FINNorthern Europe | 0.141049 | 0.50571 | 237 | — |
TUNNorthern Africa | 0.141038 | 0.51856 | 211 | — |
GTMCentral America | 0.140180 | 0.68533 | 227 | Estimated |
CANNorthern America | 0.139521 | 0.37611 | 255 | — |
NPLSouthern Asia | 0.137785 | 0.75020 | 111 | Estimated |
IDNSouth-eastern Asia | 0.137765 | 0.54773 | 243 | — |
JPNEastern Asia | 0.135279 | 0.43209 | 243 | — |
UKREastern Europe | 0.134918 | 0.68180 | 244 | — |
LTUNorthern Europe | 0.132846 | 0.45583 | 244 | — |
BRASouth America | 0.131841 | 0.56235 | 252 | — |
MEXCentral America | 0.124289 | 0.40680 | 244 | — |
HUNEastern Europe | 0.122943 | 0.40675 | 250 | Estimated |
ZAFSouthern Africa | 0.122008 | 0.50931 | 252 | — |
INDSouthern Asia | 0.119711 | 0.43594 | 254 | — |
CZEEastern Europe | 0.118424 | 0.40535 | 252 | — |
ESTNorthern Europe | 0.115865 | 0.46816 | 237 | — |
GBRNorthern Europe | 0.112222 | 0.34379 | 258 | — |
SVNSouthern Europe | 0.104348 | 0.43894 | 248 | Estimated |
CHNEastern Asia | 0.104071 | 0.41983 | 257 | — |
DEUWestern Europe | 0.103779 | 0.31659 | 257 | — |
ROUEastern Europe | 0.103298 | 0.42179 | 244 | — |
ESPSouthern Europe | 0.102585 | 0.33664 | 255 | — |
LUXWestern Europe | 0.101819 | 0.53573 | 246 | Estimated |
BIHSouthern Europe | 0.101639 | 0.60655 | 219 | Estimated |
LVANorthern Europe | 0.101158 | 0.44914 | 246 | Estimated |
FRAWestern Europe | 0.097704 | 0.33145 | 257 | — |
USANorthern America | 0.096864 | 0.24662 | 258 | — |
BGREastern Europe | 0.096634 | 0.47372 | 251 | Estimated |
LBNWestern Asia | 0.096385 | 0.59921 | 226 | Estimated |
SRBSouthern Europe | 0.090876 | 0.49813 | 244 | — |
BELWestern Europe | 0.089544 | 0.37661 | 258 | — |
SWENorthern Europe | 0.089542 | 0.34792 | 252 | — |
NLDWestern Europe | 0.082825 | 0.33224 | 256 | Estimated |
PRTSouthern Europe | 0.078090 | 0.42404 | 246 | — |
THASouth-eastern Asia | 0.076498 | 0.36753 | 250 | — |
DNKNorthern Europe | 0.074771 | 0.43883 | 253 | Estimated |
TURWestern Asia | 0.071510 | 0.42012 | 252 | — |
HRVSouthern Europe | 0.068999 | 0.43550 | 241 | — |
POLEastern Europe | 0.065250 | 0.37215 | 254 | — |
AUTWestern Europe | 0.060946 | 0.36055 | 247 | — |
ITASouthern Europe | 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
- +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
04Caveats
Read before you use
One year of the 2026 release
Every year in this series comes from UNCTAD’s 2026 release, recalculated on one method, so a change from one year to the next is not a revision. It can differ from what was first published for 2015.
74 empty cells
An empty cell means the publisher gave no figure. It is never a zero.
05The files
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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 to one row per country, with its ISO code; no value recalculated, rescaled or rounded. In full
Licence: CC BY 3.0 IGO · what it allows, in plain words
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
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How it has moved, charted by country