Data for 2016
Export Concentration Index, 2016
2016, 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, 2016 covers 213 countries on 3 measures. South Sudan is highest, at 0.98470; Italy is lowest, at 0.05169. The middle country reads 0.29347. Against 2015, 213 values changed (108 up, 105 down), the same countries are covered.
Export Concentration Index · Data for 2016
HighestSouth Sudan
0.98470LowestItaly
0.05169Shaded 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, 2016, 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 | 0.98470 | 0.814947 | 17 | — |
IRQWestern Asia | 0.93582 | 0.894138 | 101 | Estimated |
KIRMicronesia | 0.89918 | 0.823468 | 6 | Estimated |
AGOMiddle Africa | 0.89271 | 0.893389 | 154 | Estimated |
CYMCaribbean | 0.88368 | 0.870732 | 8 | Estimated |
BWASouthern Africa | 0.87890 | 0.937819 | 148 | Estimated |
FSMMicronesia | 0.87415 | 0.814276 | 9 | Estimated |
GNBWestern Africa | 0.82074 | 0.718445 | 14 | Estimated |
SXMCaribbean | 0.81164 | 0.834091 | 21 | More than 30% of total trade under "931: Special transactions & commodities not classified" |
AZEWestern Asia | 0.80993 | 0.835075 | 168 | Estimated |
TCDMiddle Africa | 0.79006 | 0.847718 | 36 | Estimated |
VCTCaribbean | 0.77949 | 0.853581 | 14 | Estimated |
VENSouth America | 0.76254 | 0.820008 | 202 | — |
SURSouth America | 0.76218 | 0.829464 | 84 | Estimated |
NGAWestern Africa | 0.75915 | 0.867955 | 193 | Estimated |
MLIWestern Africa | 0.73676 | 0.871432 | 122 | Estimated |
FRONorthern Europe | 0.72336 | 0.855214 | 46 | Estimated |
TKMCentral Asia | 0.71792 | 0.809665 | 106 | Estimated |
SLBMelanesia | 0.70478 | 0.893639 | 31 | Estimated |
NRUMicronesia | 0.70263 | 0.668124 | 22 | — |
ZMBEastern Africa | 0.68743 | 0.857856 | 175 | Estimated |
SOMEastern Africa | 0.68571 | 0.820761 | 34 | — |
GNQMiddle Africa | 0.67099 | 0.828334 | 34 | — |
MHLMicronesia | 0.66749 | 0.781268 | 10 | — |
LBYNorthern Africa | 0.65347 | 0.813223 | 108 | Estimated |
BFAWestern Africa | 0.65064 | 0.857865 | 93 | Estimated |
STPMiddle Africa | 0.64804 | 0.739718 | 16 | Estimated |
COMEastern Africa | 0.64363 | 0.777037 | 10 | Estimated |
ATGCaribbean | 0.64360 | 0.778434 | 22 | Estimated |
BMUNorthern America | 0.63711 | 0.795785 | 10 | Estimated |
MDVSouthern Asia | 0.62193 | 0.806415 | 32 | Estimated |
SAUWestern Asia | 0.61319 | 0.778151 | 245 | Estimated |
NCLMelanesia | 0.61216 | 0.926172 | 102 | Estimated |
TUVPolynesia | 0.60640 | 0.604913 | 14 | Estimated |
KWTWestern Asia | 0.60334 | 0.812372 | 218 | Estimated |
BRNSouth-eastern Asia | 0.60006 | 0.839374 | 114 | — |
PLWMicronesia | 0.58249 | 0.756033 | 12 | Estimated |
CUWCaribbean | 0.57014 | 0.797151 | 66 | Estimated |
GINWestern Africa | 0.56145 | 0.863688 | 74 | Estimated |
GABMiddle Africa | 0.55994 | 0.862622 | 113 | Estimated |
HTICaribbean | 0.53705 | 0.836648 | 79 | Estimated |
COGMiddle Africa | 0.53213 | 0.850600 | 121 | Estimated |
GIBSouthern Europe | 0.51355 | 0.714832 | 43 | — |
MWIEastern Africa | 0.51161 | 0.813835 | 88 | — |
PYFPolynesia | 0.51019 | 0.772630 | 44 | Estimated |
COKPolynesia | 0.50819 | 0.734985 | 11 | Estimated |
SYCEastern Africa | 0.50808 | 0.821033 | 66 | Estimated |
GUYSouth America | 0.50741 | 0.835252 | 92 | Estimated |
KAZCentral Asia | 0.50553 | 0.799381 | 227 | — |
GRLNorthern America | 0.50482 | 0.771605 | 18 | — |
GMBWestern Africa | 0.50421 | 0.815187 | 39 | Estimated |
BDIEastern Africa | 0.49626 | 0.804167 | 31 | Estimated |
QATWestern Asia | 0.49002 | 0.817435 | 193 | Estimated |
DZANorthern Africa | 0.48891 | 0.813918 | 93 | — |
CODMiddle Africa | 0.46982 | 0.849855 | 112 | Estimated |
GHAWestern Africa | 0.46726 | 0.812515 | 181 | Estimated |
IRNSouthern Asia | 0.45185 | 0.708787 | 242 | Estimated |
LCACaribbean | 0.45115 | 0.684224 | 67 | Estimated |
GUMMicronesia | 0.44654 | 0.619084 | 36 | Estimated |
JAMCaribbean | 0.44104 | 0.754057 | 132 | — |
ISLNorthern Europe | 0.44093 | 0.802269 | 136 | — |
CIVWestern Africa | 0.42975 | 0.768341 | 186 | Estimated |
TLSSouth-eastern Asia | 0.42309 | 0.710254 | 28 | Estimated |
BHSCaribbean | 0.41796 | 0.768895 | 59 | Estimated |
BGDSouthern Asia | 0.40459 | 0.889649 | 192 | Estimated |
ABWCaribbean | 0.40173 | 0.733510 | 77 | Estimated |
MNGEastern Asia | 0.39839 | 0.831492 | 111 | Estimated |
YEMWestern Asia | 0.39020 | 0.760318 | 98 | Estimated |
CAFMiddle Africa | 0.38531 | 0.773791 | 29 | Estimated |
SDNNorthern Africa | 0.37908 | 0.801302 | 90 | Estimated |
NERWestern Africa | 0.37145 | 0.834609 | 102 | Estimated |
MSRCaribbean | 0.37142 | 0.618364 | 24 | Estimated |
RWAEastern Africa | 0.37095 | 0.796667 | 110 | Estimated |
LBRWestern Africa | 0.37029 | 0.762726 | 43 | Estimated |
ZWEEastern Africa | 0.36552 | 0.846737 | 165 | Estimated |
MRTWestern Africa | 0.36133 | 0.828392 | 67 | Estimated |
CYPWestern Asia | 0.36068 | 0.640125 | 161 | — |
CPVWestern Africa | 0.36045 | 0.742946 | 25 | Estimated |
BENWestern Africa | 0.35820 | 0.794260 | 121 | Estimated |
OMNWestern Asia | 0.35771 | 0.726788 | 224 | Estimated |
PRKEastern Asia | 0.35770 | 0.751615 | 178 | — |
SWZSouthern Africa | 0.35378 | 0.798308 | 162 | Estimated |
WSMPolynesia | 0.35164 | 0.704397 | 30 | Estimated |
ECUSouth America | 0.34760 | 0.778632 | 199 | — |
VGBCaribbean | 0.34686 | 0.707784 | 21 | — |
TONPolynesia | 0.34385 | 0.776234 | 30 | Estimated |
BTNSouthern Asia | 0.33927 | 0.798714 | 60 | Estimated |
PRYSouth America | 0.32867 | 0.823317 | 155 | Estimated |
BOLSouth America | 0.32751 | 0.840421 | 163 | Estimated |
KGZCentral Asia | 0.32741 | 0.666752 | 181 | Estimated |
TJKCentral Asia | 0.32701 | 0.781150 | 96 | Estimated |
AFGSouthern Asia | 0.32681 | 0.825445 | 61 | Estimated |
MLTSouthern Europe | 0.32597 | 0.668611 | 174 | Estimated |
ASMPolynesia | 0.32487 | 0.735826 | 92 | Estimated |
ETHEastern Africa | 0.32333 | 0.802879 | 147 | Estimated |
BLZCentral America | 0.32123 | 0.736263 | 102 | Estimated |
KNACaribbean | 0.31963 | 0.705395 | 24 | Estimated |
NORNorthern Europe | 0.31504 | 0.643908 | 237 | — |
AIACaribbean | 0.31356 | 0.625091 | 32 | Estimated |
TZAEastern Africa | 0.31231 | 0.786758 | 192 | Estimated |
TTOCaribbean | 0.30927 | 0.758817 | 190 | Estimated |
CMRMiddle Africa | 0.30608 | 0.788301 | 173 | Estimated |
CHLSouth America | 0.30556 | 0.767398 | 234 | — |
MDGEastern Africa | 0.30073 | 0.812941 | 133 | Estimated |
RUSEastern Europe | 0.29951 | 0.640624 | 254 | — |
MNPMicronesia | 0.29876 | 0.666703 | 25 | — |
PNGMelanesia | 0.29347 | 0.834552 | 152 | Estimated |
KHMSouth-eastern Asia | 0.28911 | 0.790116 | 157 | Estimated |
CHEWestern Europe | 0.28901 | 0.645297 | 247 | — |
PHLSouth-eastern Asia | 0.28677 | 0.560047 | 233 | — |
CUBCaribbean | 0.28198 | 0.779189 | 126 | Estimated |
COLSouth America | 0.28056 | 0.651227 | 232 | — |
NAMSouthern Africa | 0.28012 | 0.813615 | 182 | Estimated |
UZBCentral Asia | 0.27812 | 0.762005 | 198 | Estimated |
ERIEastern Africa | 0.27795 | 0.806425 | 39 | Estimated |
TWNEastern Asia | 0.27756 | 0.483798 | 245 | — |
MMRSouth-eastern Asia | 0.27648 | 0.771630 | 185 | Estimated |
PERSouth America | 0.27314 | 0.754396 | 233 | Estimated |
BHRWestern Asia | 0.26951 | 0.670622 | 216 | Estimated |
HKGEastern Asia | 0.26842 | 0.563659 | 241 | — |
ARMWestern Asia | 0.26712 | 0.755188 | 142 | Estimated |
MOZEastern Africa | 0.26619 | 0.808728 | 160 | Estimated |
LSOSouthern Africa | 0.25914 | 0.837943 | 82 | Estimated |
GRDCaribbean | 0.25896 | 0.679624 | 34 | Estimated |
TGOWestern Africa | 0.25481 | 0.718791 | 128 | Estimated |
ISRWestern Asia | 0.25466 | 0.555740 | 229 | — |
CRICentral America | 0.25359 | 0.673169 | 221 | Estimated |
NIUPolynesia | 0.24666 | 0.535660 | 39 | — |
AUSAustralia and New Zealand | 0.24463 | 0.669405 | 251 | Estimated |
VUTMelanesia | 0.23975 | 0.744255 | 40 | Estimated |
IRLNorthern Europe | 0.23859 | 0.672981 | 240 | — |
TCACaribbean | 0.23416 | 0.669993 | 36 | Estimated |
GRCSouthern Europe | 0.23407 | 0.557562 | 243 | — |
PANCentral America | 0.23283 | 0.600494 | 226 | Estimated |
NICCentral America | 0.23186 | 0.795671 | 161 | Estimated |
ALBSouthern Europe | 0.23122 | 0.711930 | 179 | Estimated |
SGPSouth-eastern Asia | 0.23006 | 0.463194 | 258 | Estimated |
HNDCentral America | 0.22917 | 0.714193 | 203 | Estimated |
AREWestern Asia | 0.22836 | 0.555113 | 258 | Estimated |
URYSouth America | 0.22802 | 0.747358 | 187 | — |
SLEWestern Africa | 0.22372 | 0.798680 | 108 | Estimated |
LAOSouth-eastern Asia | 0.22261 | 0.696365 | 138 | Estimated |
KENEastern Africa | 0.22156 | 0.686722 | 226 | Estimated |
SENWestern Africa | 0.22110 | 0.753856 | 181 | Estimated |
PAKSouthern Asia | 0.21413 | 0.775823 | 213 | — |
MNESouthern Europe | 0.21262 | 0.727854 | 109 | — |
MKDSouthern Europe | 0.21174 | 0.671554 | 201 | Estimated |
SLVCentral America | 0.21167 | 0.669357 | 200 | Estimated |
DOMCaribbean | 0.21054 | 0.679648 | 224 | Estimated |
ANDSouthern Europe | 0.20801 | 0.545084 | 73 | Estimated |
LKASouthern Asia | 0.20481 | 0.736601 | 217 | Estimated |
VNMSouth-eastern Asia | 0.20427 | 0.565421 | 248 | — |
FJIMelanesia | 0.20097 | 0.719257 | 165 | Estimated |
UGAEastern Africa | 0.20077 | 0.720216 | 193 | Estimated |
DMACaribbean | 0.19889 | 0.697336 | 32 | Estimated |
GEOWestern Asia | 0.19846 | 0.670862 | 177 | — |
JORWestern Asia | 0.19753 | 0.665187 | 207 | — |
SVKEastern Europe | 0.19717 | 0.465763 | 247 | — |
ARGSouth America | 0.19468 | 0.667806 | 242 | — |
PSEWestern Asia | 0.19284 | 0.655683 | 153 | Estimated |
MUSEastern Africa | 0.18804 | 0.659634 | 190 | Estimated |
MACEastern Asia | 0.18052 | 0.595622 | 142 | Estimated |
BRBCaribbean | 0.17769 | 0.638442 | 132 | Estimated |
MYSSouth-eastern Asia | 0.17372 | 0.441321 | 253 | — |
MARNorthern Africa | 0.17347 | 0.652958 | 224 | Estimated |
NZLAustralia and New Zealand | 0.16209 | 0.688632 | 236 | — |
MDAEastern Europe | 0.16057 | 0.693959 | 178 | — |
BLREastern Europe | 0.15514 | 0.560385 | 241 | Estimated |
EGYNorthern Africa | 0.14879 | 0.577072 | 243 | Estimated |
GTMCentral America | 0.14706 | 0.698294 | 220 | Estimated |
UKREastern Europe | 0.14612 | 0.665572 | 242 | — |
KOREastern Asia | 0.14413 | 0.424724 | 249 | — |
FINNorthern Europe | 0.14309 | 0.522318 | 243 | — |
SYRWestern Asia | 0.14175 | 0.644778 | 202 | Estimated |
JPNEastern Asia | 0.14091 | 0.401575 | 242 | — |
NPLSouthern Asia | 0.13810 | 0.735067 | 116 | Estimated |
CANNorthern America | 0.13767 | 0.379810 | 255 | — |
DJIEastern Africa | 0.13739 | 0.608779 | 178 | Estimated |
TUNNorthern Africa | 0.13409 | 0.518876 | 215 | — |
BRASouth America | 0.13095 | 0.565966 | 251 | — |
IDNSouth-eastern Asia | 0.12778 | 0.550232 | 245 | — |
MEXCentral America | 0.12700 | 0.405338 | 243 | — |
CZEEastern Europe | 0.12415 | 0.412062 | 252 | — |
ZAFSouthern Africa | 0.12390 | 0.520232 | 254 | — |
LBNWestern Asia | 0.12296 | 0.615108 | 223 | Estimated |
HUNEastern Europe | 0.12058 | 0.405825 | 250 | Estimated |
INDSouthern Asia | 0.11970 | 0.440867 | 254 | — |
LTUNorthern Europe | 0.11178 | 0.450569 | 245 | — |
ROUEastern Europe | 0.11164 | 0.424281 | 244 | — |
SVNSouthern Europe | 0.10960 | 0.434390 | 249 | Estimated |
GBRNorthern Europe | 0.10831 | 0.319620 | 260 | — |
ESTNorthern Europe | 0.10763 | 0.437528 | 239 | — |
ESPSouthern Europe | 0.10694 | 0.339239 | 255 | — |
CHNEastern Asia | 0.10513 | 0.410168 | 256 | — |
BIHSouthern Europe | 0.10398 | 0.609951 | 220 | Estimated |
DEUWestern Europe | 0.10351 | 0.307073 | 257 | — |
LUXWestern Europe | 0.10122 | 0.524467 | 238 | Estimated |
USANorthern America | 0.09934 | 0.244582 | 259 | — |
FRAWestern Europe | 0.09846 | 0.323503 | 257 | — |
BELWestern Europe | 0.09349 | 0.387656 | 257 | — |
SWENorthern Europe | 0.09065 | 0.342892 | 251 | — |
LVANorthern Europe | 0.08903 | 0.431138 | 245 | Estimated |
SRBSouthern Europe | 0.08654 | 0.499674 | 245 | — |
BGREastern Europe | 0.08269 | 0.460563 | 251 | Estimated |
DNKNorthern Europe | 0.07805 | 0.447546 | 251 | Estimated |
THASouth-eastern Asia | 0.07770 | 0.358446 | 248 | — |
TURWestern Asia | 0.07590 | 0.431705 | 252 | — |
NLDWestern Europe | 0.07536 | 0.325159 | 256 | Estimated |
PRTSouthern Europe | 0.07168 | 0.403678 | 246 | — |
POLEastern Europe | 0.06734 | 0.372562 | 252 | — |
HRVSouthern Europe | 0.06598 | 0.450666 | 240 | — |
AUTWestern Europe | 0.06148 | 0.335111 | 247 | — |
ITASouthern Europe | 0.05169 | 0.345984 | 256 | — |
02In 2016
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
South Sudan0.98470
Iraq0.93582
Kiribati0.89918
Angola0.89271
Cayman Islands0.88368
Neither end is better. The values describe a shape, not a score. The middle country reads 0.29347. “Shared” marks a value another country also holds.
Each measure’s ends
Export diversification index (0–1)
Highest
Botswana0.937819
Lowest
United States0.244582
Middle country: 0.726788
Products exported (SITC 3-digit groups)
Highest
United Kingdom260
Lowest
Kiribati6
Middle country: 168
032015 → 2016
Since 2015
- +0 / −0countries joined / left
- 213values changed, of 213 in both
- 108 · 105rose · fell
- 0unchanged
Rose most
Suriname0.56214 → 0.76218+0.20004
Sint Maarten0.61570 → 0.81164+0.19595
Saint Vincent and the Grenadines0.63783 → 0.77949+0.14167
Gambia0.37499 → 0.50421+0.12922
Micronesia0.75076 → 0.87415+0.12339
Fell most
Timor-Leste0.86787 → 0.42309−0.44478
Liberia0.65411 → 0.37029−0.28382
Eritrea0.55857 → 0.27795−0.28062
Gibraltar0.71987 → 0.51355−0.20632
Bahamas0.59589 → 0.41796−0.17793
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 2016.
73 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-2016-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) (2016). Export Concentration Index, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/export-concentration/2016
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