Data for 2020
Export Concentration Index, 2020
2020, 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, 2020 covers 213 countries on 3 measures. Niue is highest, at 0.975289; Italy is lowest, at 0.057881. The middle country reads 0.306244. Against 2019, 213 values changed (94 up, 119 down), the same countries are covered.
Export Concentration Index · Data for 2020
HighestNiue
0.975289LowestItaly
0.057881Shaded 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, 2020, 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
NIUPolynesia | 0.975289 | 0.74434 | 2 | — |
BWASouthern Africa | 0.873280 | 0.91036 | 127 | Estimated |
FSMMicronesia | 0.861086 | 0.81627 | 20 | Estimated |
MLIWestern Africa | 0.848613 | 0.90255 | 130 | Estimated |
AGOMiddle Africa | 0.835835 | 0.90093 | 121 | Estimated |
BFAWestern Africa | 0.833851 | 0.88224 | 95 | Estimated |
VGBCaribbean | 0.824891 | 0.81159 | 11 | — |
IRQWestern Asia | 0.820385 | 0.88713 | 156 | Estimated |
SURSouth America | 0.814019 | 0.86606 | 78 | Estimated |
NRUMicronesia | 0.803559 | 0.76584 | 5 | — |
SSDEastern Africa | 0.795034 | 0.80229 | 19 | — |
MHLMicronesia | 0.773730 | 0.81107 | 11 | — |
SXMCaribbean | 0.762768 | 0.74116 | 60 | More than 30% of total trade under "931: Special transactions & commodities not classified" |
VENSouth America | 0.749258 | 0.82376 | 158 | — |
TCDMiddle Africa | 0.746308 | 0.85258 | 41 | Estimated |
TKMCentral Asia | 0.743925 | 0.80689 | 108 | Estimated |
NGAWestern Africa | 0.735468 | 0.87305 | 199 | Estimated |
GNQMiddle Africa | 0.720206 | 0.82196 | 34 | — |
AZEWestern Asia | 0.716214 | 0.83165 | 178 | Estimated |
GNBWestern Africa | 0.713815 | 0.69697 | 12 | — |
FRONorthern Europe | 0.708295 | 0.85531 | 56 | Estimated |
TCACaribbean | 0.678856 | 0.76976 | 21 | Estimated |
LBYNorthern Africa | 0.677088 | 0.85543 | 75 | Estimated |
MDVSouthern Asia | 0.675735 | 0.83721 | 31 | Estimated |
TLSSouth-eastern Asia | 0.675409 | 0.82764 | 24 | Estimated |
ATGCaribbean | 0.662250 | 0.86291 | 10 | Estimated |
GINWestern Africa | 0.649440 | 0.88006 | 148 | Estimated |
KIRMicronesia | 0.646323 | 0.80190 | 4 | Estimated |
KWTWestern Asia | 0.644884 | 0.81015 | 222 | Estimated |
ZMBEastern Africa | 0.644025 | 0.86110 | 184 | Estimated |
NCLMelanesia | 0.621176 | 0.94060 | 90 | Estimated |
COGMiddle Africa | 0.617862 | 0.86306 | 103 | Estimated |
SLBMelanesia | 0.611525 | 0.90681 | 35 | Estimated |
VCTCaribbean | 0.589267 | 0.83307 | 20 | Estimated |
COMEastern Africa | 0.586062 | 0.78635 | 11 | Estimated |
CODMiddle Africa | 0.562462 | 0.90650 | 116 | Estimated |
NERWestern Africa | 0.555800 | 0.84037 | 71 | Estimated |
TUVPolynesia | 0.552329 | 0.73119 | 12 | Estimated |
KAZCentral Asia | 0.546027 | 0.81857 | 225 | — |
BMUNorthern America | 0.541366 | 0.73515 | 20 | Estimated |
COKPolynesia | 0.538798 | 0.73189 | 11 | Estimated |
ASMPolynesia | 0.535494 | 0.64454 | 95 | Estimated |
SAUWestern Asia | 0.529823 | 0.76338 | 246 | Estimated |
RWAEastern Africa | 0.524273 | 0.80393 | 136 | Estimated |
SOMEastern Africa | 0.523171 | 0.82070 | 39 | — |
GUYSouth America | 0.522096 | 0.84498 | 81 | Estimated |
GABMiddle Africa | 0.520012 | 0.85005 | 112 | Estimated |
MWIEastern Africa | 0.517620 | 0.83513 | 83 | — |
MSRCaribbean | 0.515518 | 0.58979 | 23 | Estimated |
BDIEastern Africa | 0.502862 | 0.81119 | 32 | Estimated |
KGZCentral Asia | 0.488529 | 0.74583 | 181 | Estimated |
SYCEastern Africa | 0.481741 | 0.82329 | 54 | Estimated |
GRLNorthern America | 0.476893 | 0.85038 | 16 | — |
HTICaribbean | 0.475191 | 0.81433 | 89 | Estimated |
CYMCaribbean | 0.466663 | 0.66362 | 18 | Estimated |
ISLNorthern Europe | 0.466052 | 0.82447 | 144 | — |
CPVWestern Africa | 0.461449 | 0.72906 | 29 | Estimated |
DZANorthern Africa | 0.455312 | 0.83010 | 120 | — |
GHAWestern Africa | 0.452254 | 0.83076 | 217 | Estimated |
GUMMicronesia | 0.448295 | 0.65108 | 45 | Estimated |
AIACaribbean | 0.439587 | 0.70891 | 21 | Estimated |
JAMCaribbean | 0.438770 | 0.81797 | 115 | — |
ABWCaribbean | 0.437201 | 0.73902 | 49 | Estimated |
SDNNorthern Africa | 0.435865 | 0.84569 | 100 | — |
GIBSouthern Europe | 0.435579 | 0.73458 | 69 | — |
UGAEastern Africa | 0.435346 | 0.78524 | 185 | Estimated |
MRTWestern Africa | 0.433603 | 0.87443 | 86 | Estimated |
QATWestern Asia | 0.433091 | 0.81435 | 206 | Estimated |
BRNSouth-eastern Asia | 0.432338 | 0.86709 | 92 | — |
BTNSouthern Asia | 0.426045 | 0.80257 | 55 | Estimated |
CIVWestern Africa | 0.413969 | 0.79443 | 190 | Estimated |
MNGEastern Asia | 0.413293 | 0.87045 | 103 | Estimated |
YEMWestern Asia | 0.411239 | 0.77537 | 108 | Estimated |
LBRWestern Africa | 0.410253 | 0.84636 | 54 | Estimated |
BENWestern Africa | 0.409741 | 0.80684 | 122 | Estimated |
MNPMicronesia | 0.403417 | 0.65331 | 22 | — |
AFGSouthern Asia | 0.398567 | 0.86344 | 81 | Estimated |
TZAEastern Africa | 0.392625 | 0.80695 | 208 | Estimated |
BGDSouthern Asia | 0.391726 | 0.87791 | 208 | Estimated |
TJKCentral Asia | 0.377384 | 0.83604 | 100 | Estimated |
ZWEEastern Africa | 0.374625 | 0.83464 | 147 | Estimated |
CAFMiddle Africa | 0.371973 | 0.77400 | 41 | Estimated |
TWNEastern Asia | 0.367217 | 0.50502 | 243 | — |
PNGMelanesia | 0.366479 | 0.84818 | 100 | Estimated |
PYFPolynesia | 0.366086 | 0.72772 | 45 | Estimated |
PHLSouth-eastern Asia | 0.364378 | 0.54924 | 227 | — |
CUWCaribbean | 0.363453 | 0.62736 | 124 | Estimated |
CMRMiddle Africa | 0.361517 | 0.77951 | 173 | Estimated |
LSOSouthern Africa | 0.359919 | 0.82173 | 73 | Estimated |
TONPolynesia | 0.356433 | 0.76269 | 21 | Estimated |
PLWMicronesia | 0.350500 | 0.68957 | 24 | Estimated |
CHLSouth America | 0.347945 | 0.79990 | 233 | — |
CYPWestern Asia | 0.340361 | 0.66605 | 150 | — |
AUSAustralia and New Zealand | 0.339251 | 0.70284 | 252 | Estimated |
SWZSouthern Africa | 0.338909 | 0.78966 | 154 | Estimated |
BOLSouth America | 0.336847 | 0.85004 | 154 | Estimated |
PRYSouth America | 0.335793 | 0.82232 | 163 | Estimated |
STPMiddle Africa | 0.335243 | 0.72292 | 16 | Estimated |
BHSCaribbean | 0.335239 | 0.79461 | 46 | Estimated |
BHRWestern Asia | 0.330513 | 0.70797 | 215 | Estimated |
HKGEastern Asia | 0.323196 | 0.58193 | 238 | — |
ECUSouth America | 0.323094 | 0.79444 | 185 | — |
BLZCentral America | 0.321328 | 0.83267 | 59 | Estimated |
ERIEastern Africa | 0.316616 | 0.81661 | 42 | Estimated |
ARMWestern Asia | 0.311923 | 0.77696 | 164 | Estimated |
TGOWestern Africa | 0.306395 | 0.75021 | 133 | Estimated |
IRLNorthern Europe | 0.306244 | 0.67931 | 239 | — |
ETHEastern Africa | 0.304836 | 0.79508 | 153 | Estimated |
NORNorthern Europe | 0.300886 | 0.65011 | 239 | — |
WSMPolynesia | 0.290019 | 0.64866 | 38 | Estimated |
VUTMelanesia | 0.288789 | 0.77218 | 37 | Estimated |
KNACaribbean | 0.287088 | 0.70123 | 33 | Estimated |
CUBCaribbean | 0.284119 | 0.78082 | 94 | Estimated |
MDGEastern Africa | 0.282454 | 0.79808 | 122 | Estimated |
TTOCaribbean | 0.280518 | 0.77589 | 173 | Estimated |
CRICentral America | 0.279945 | 0.66323 | 214 | Estimated |
PERSouth America | 0.279663 | 0.78029 | 228 | Estimated |
UZBCentral Asia | 0.277006 | 0.76101 | 209 | Estimated |
CHEWestern Europe | 0.272559 | 0.64347 | 245 | — |
MOZEastern Africa | 0.266686 | 0.82547 | 148 | Estimated |
NAMSouthern Africa | 0.266448 | 0.81058 | 175 | Estimated |
OMNWestern Asia | 0.264304 | 0.66685 | 232 | Estimated |
SENWestern Africa | 0.260805 | 0.77109 | 197 | Estimated |
GEOWestern Asia | 0.258898 | 0.68339 | 192 | — |
SVKEastern Europe | 0.257124 | 0.49603 | 244 | — |
COLSouth America | 0.254978 | 0.66906 | 228 | — |
LAOSouth-eastern Asia | 0.251628 | 0.73309 | 150 | Estimated |
URYSouth America | 0.248121 | 0.74563 | 185 | — |
RUSEastern Europe | 0.247047 | 0.62247 | 251 | — |
SGPSouth-eastern Asia | 0.246591 | 0.46377 | 253 | Estimated |
MLTSouthern Europe | 0.245981 | 0.62460 | 174 | Estimated |
MYSSouth-eastern Asia | 0.241790 | 0.45336 | 254 | — |
LCACaribbean | 0.241644 | 0.63507 | 52 | Estimated |
KHMSouth-eastern Asia | 0.240608 | 0.75589 | 163 | Estimated |
LBNWestern Asia | 0.236057 | 0.65665 | 218 | Estimated |
ARGSouth America | 0.229460 | 0.72516 | 202 | — |
GMBWestern Africa | 0.228429 | 0.77187 | 40 | Estimated |
AREWestern Asia | 0.226454 | 0.52778 | 258 | Estimated |
ANDSouthern Europe | 0.225726 | 0.59733 | 77 | Estimated |
MKDSouthern Europe | 0.225473 | 0.67304 | 201 | Estimated |
NPLSouthern Asia | 0.222977 | 0.72376 | 106 | Estimated |
SLEWestern Africa | 0.222864 | 0.78377 | 121 | Estimated |
GRDCaribbean | 0.222398 | 0.72938 | 28 | Estimated |
NICCentral America | 0.218720 | 0.79754 | 161 | Estimated |
MMRSouth-eastern Asia | 0.218472 | 0.80014 | 202 | Estimated |
ALBSouthern Europe | 0.215570 | 0.70439 | 175 | Estimated |
JORWestern Asia | 0.214857 | 0.65102 | 213 | — |
PAKSouthern Asia | 0.211437 | 0.76281 | 210 | — |
KENEastern Africa | 0.211392 | 0.69410 | 226 | Estimated |
DOMCaribbean | 0.210603 | 0.67274 | 218 | Estimated |
HNDCentral America | 0.207501 | 0.71368 | 197 | Estimated |
MACEastern Asia | 0.204294 | 0.62325 | 131 | Estimated |
BRBCaribbean | 0.199634 | 0.66272 | 111 | Estimated |
MNESouthern Europe | 0.198823 | 0.67753 | 106 | — |
NZLAustralia and New Zealand | 0.197201 | 0.73751 | 232 | — |
MDAEastern Europe | 0.195365 | 0.69709 | 172 | — |
FJIMelanesia | 0.188444 | 0.71066 | 152 | Estimated |
GRCSouthern Europe | 0.188190 | 0.53828 | 245 | — |
SLVCentral America | 0.186409 | 0.66653 | 199 | Estimated |
KOREastern Asia | 0.185110 | 0.44163 | 248 | — |
LKASouthern Asia | 0.183092 | 0.70786 | 214 | Estimated |
BRASouth America | 0.182308 | 0.61956 | 249 | — |
MARNorthern Africa | 0.180589 | 0.65221 | 224 | Estimated |
PANCentral America | 0.178592 | 0.54489 | 220 | Estimated |
VNMSouth-eastern Asia | 0.175476 | 0.53546 | 249 | — |
MUSEastern Africa | 0.173294 | 0.69511 | 185 | Estimated |
UKREastern Europe | 0.164715 | 0.69361 | 243 | — |
PSEWestern Asia | 0.164590 | 0.63189 | 153 | Estimated |
IRNSouthern Asia | 0.161191 | 0.65893 | 241 | Estimated |
ZAFSouthern Africa | 0.155660 | 0.56554 | 253 | — |
GTMCentral America | 0.155401 | 0.71652 | 218 | Estimated |
SVNSouthern Europe | 0.147724 | 0.43294 | 251 | Estimated |
EGYNorthern Africa | 0.145766 | 0.58961 | 239 | Estimated |
DMACaribbean | 0.139359 | 0.59821 | 49 | Estimated |
TUNNorthern Africa | 0.137431 | 0.52172 | 207 | — |
JPNEastern Asia | 0.135824 | 0.40198 | 244 | — |
PRKEastern Asia | 0.133589 | 0.54287 | 82 | — |
ISRWestern Asia | 0.131300 | 0.45449 | 220 | — |
MEXCentral America | 0.130358 | 0.43973 | 243 | — |
DJIEastern Africa | 0.127921 | 0.59252 | 189 | Estimated |
CZEEastern Europe | 0.127694 | 0.41650 | 252 | — |
FINNorthern Europe | 0.127033 | 0.52174 | 240 | — |
CANNorthern America | 0.127027 | 0.40341 | 256 | — |
SYRWestern Asia | 0.126485 | 0.64482 | 211 | Estimated |
IDNSouth-eastern Asia | 0.123765 | 0.56564 | 243 | — |
BLREastern Europe | 0.115529 | 0.55103 | 243 | Estimated |
ROUEastern Europe | 0.111648 | 0.45428 | 242 | — |
HUNEastern Europe | 0.108669 | 0.39193 | 253 | Estimated |
BELWestern Europe | 0.107787 | 0.41786 | 256 | — |
BIHSouthern Europe | 0.101597 | 0.61947 | 218 | Estimated |
LUXWestern Europe | 0.100076 | 0.53218 | 241 | Estimated |
CHNEastern Asia | 0.100027 | 0.38463 | 255 | — |
ESPSouthern Europe | 0.098801 | 0.35788 | 256 | — |
INDSouthern Asia | 0.098207 | 0.44775 | 251 | — |
GBRNorthern Europe | 0.096754 | 0.32343 | 258 | — |
SWENorthern Europe | 0.093198 | 0.34776 | 250 | — |
DNKNorthern Europe | 0.086839 | 0.43487 | 252 | Estimated |
ESTNorthern Europe | 0.086507 | 0.43523 | 238 | — |
DEUWestern Europe | 0.085100 | 0.29286 | 257 | — |
THASouth-eastern Asia | 0.083695 | 0.35825 | 249 | — |
USANorthern America | 0.083211 | 0.23235 | 260 | — |
BGREastern Europe | 0.082090 | 0.44240 | 254 | Estimated |
LVANorthern Europe | 0.080602 | 0.44572 | 245 | Estimated |
SRBSouthern Europe | 0.077917 | 0.49565 | 246 | — |
LTUNorthern Europe | 0.076889 | 0.42856 | 245 | — |
FRAWestern Europe | 0.076197 | 0.32939 | 258 | — |
NLDWestern Europe | 0.072690 | 0.31536 | 258 | Estimated |
PRTSouthern Europe | 0.072668 | 0.41140 | 250 | — |
AUTWestern Europe | 0.065402 | 0.33696 | 249 | — |
TURWestern Asia | 0.063757 | 0.42359 | 254 | — |
POLEastern Europe | 0.063431 | 0.40657 | 252 | — |
HRVSouthern Europe | 0.058093 | 0.40576 | 244 | — |
ITASouthern Europe | 0.057881 | 0.34444 | 258 | — |
02In 2020
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
Niue0.975289
Botswana0.873280
Micronesia0.861086
Mali0.848613
Angola0.835835
Neither end is better. The values describe a shape, not a score. The middle country reads 0.306244. “Shared” marks a value another country also holds.
Each measure’s ends
Export diversification index (0–1)
Highest
New Caledonia0.94060
Lowest
United States0.23235
Middle country: 0.73119
Products exported (SITC 3-digit groups)
Highest
United States260
Lowest
Niue2
Middle country: 163
032019 → 2020
Since 2019
- +0 / −0countries joined / left
- 213values changed, of 213 in both
- 94 · 119rose · fell
- 0unchanged
Rose most
British Virgin Islands0.494273 → 0.824891+0.330618
Nauru0.560192 → 0.803559+0.243367
Niger0.353314 → 0.555800+0.202486
Micronesia0.677671 → 0.861086+0.183415
American Samoa0.389542 → 0.535494+0.145952
Fell most
Cayman Islands0.896017 → 0.466663−0.429354
Tuvalu0.813471 → 0.552329−0.261142
Bermuda0.802077 → 0.541366−0.260711
Kiribati0.841444 → 0.646323−0.195121
Palau0.529256 → 0.350500−0.178756
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 2020.
75 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-2020-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) (2020). Export Concentration Index, 2020 [data set], describing 2020. As held by Nations Inquiry, https://nationsinquiry.com/datasets/export-concentration/2020
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