Data for 2019
Export Concentration Index, 2019
2019, 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, 2019 covers 213 countries on 3 measures. Niue is highest, at 0.95406; Italy is lowest, at 0.05647. The middle country reads 0.31279. Against 2018, 213 values changed (111 up, 102 down), the same countries are covered.
Export Concentration Index · Data for 2019
HighestNiue
0.95406LowestItaly
0.05647Shaded 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, 2019, 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 | 0.95406 | 0.80726 | 5 | — |
SSDEastern Africa | 0.92830 | 0.80280 | 21 | — |
IRQWestern Asia | 0.91545 | 0.86603 | 165 | Estimated |
CYMCaribbean | 0.89602 | 0.84903 | 9 | Estimated |
BWASouthern Africa | 0.89230 | 0.92074 | 138 | Estimated |
AGOMiddle Africa | 0.87864 | 0.88530 | 146 | Estimated |
KIRMicronesia | 0.84144 | 0.81714 | 6 | Estimated |
SXMCaribbean | 0.83769 | 0.78935 | 41 | More than 30% of total trade under "931: Special transactions & commodities not classified" |
LBYNorthern Africa | 0.83171 | 0.83359 | 69 | Estimated |
SURSouth America | 0.81901 | 0.88131 | 72 | Estimated |
TUVPolynesia | 0.81347 | 0.73013 | 11 | Estimated |
BMUNorthern America | 0.80208 | 0.81253 | 11 | Estimated |
MLIWestern Africa | 0.79460 | 0.87617 | 122 | Estimated |
AZEWestern Asia | 0.78128 | 0.82947 | 181 | Estimated |
TKMCentral Asia | 0.78088 | 0.83319 | 126 | Estimated |
NGAWestern Africa | 0.77651 | 0.86323 | 196 | Estimated |
VENSouth America | 0.77241 | 0.80288 | 198 | — |
TCACaribbean | 0.77184 | 0.78800 | 14 | Estimated |
MHLMicronesia | 0.75978 | 0.76348 | 10 | — |
FRONorthern Europe | 0.73263 | 0.83712 | 58 | Estimated |
BFAWestern Africa | 0.71898 | 0.85360 | 98 | Estimated |
COGMiddle Africa | 0.71152 | 0.85206 | 105 | Estimated |
TCDMiddle Africa | 0.69079 | 0.84429 | 64 | Estimated |
GNQMiddle Africa | 0.68222 | 0.81899 | 40 | — |
ZMBEastern Africa | 0.67991 | 0.85503 | 183 | Estimated |
FSMMicronesia | 0.67767 | 0.81312 | 11 | Estimated |
ATGCaribbean | 0.65943 | 0.84985 | 11 | Estimated |
GNBWestern Africa | 0.65466 | 0.68390 | 13 | — |
MDVSouthern Asia | 0.65437 | 0.83131 | 35 | Estimated |
SLBMelanesia | 0.63299 | 0.91223 | 40 | Estimated |
NCLMelanesia | 0.62506 | 0.94312 | 91 | Estimated |
KWTWestern Asia | 0.60844 | 0.78371 | 222 | Estimated |
SAUWestern Asia | 0.60209 | 0.76764 | 244 | Estimated |
GABMiddle Africa | 0.59523 | 0.87117 | 105 | Estimated |
GINWestern Africa | 0.58323 | 0.87798 | 126 | Estimated |
TLSSouth-eastern Asia | 0.56423 | 0.79228 | 24 | Estimated |
NRUMicronesia | 0.56019 | 0.70189 | 14 | — |
BRNSouth-eastern Asia | 0.55983 | 0.79333 | 126 | — |
KAZCentral Asia | 0.55772 | 0.78089 | 238 | — |
YEMWestern Asia | 0.55626 | 0.75815 | 115 | Estimated |
BDIEastern Africa | 0.55060 | 0.82179 | 30 | Estimated |
MWIEastern Africa | 0.53473 | 0.85494 | 83 | — |
PLWMicronesia | 0.52926 | 0.72532 | 19 | Estimated |
COMEastern Africa | 0.51240 | 0.77846 | 12 | Estimated |
JAMCaribbean | 0.50562 | 0.79369 | 126 | — |
GUMMicronesia | 0.50264 | 0.62674 | 41 | Estimated |
CODMiddle Africa | 0.50018 | 0.87218 | 122 | Estimated |
VGBCaribbean | 0.49427 | 0.69542 | 17 | — |
QATWestern Asia | 0.49424 | 0.79963 | 204 | Estimated |
HTICaribbean | 0.49423 | 0.82069 | 108 | Estimated |
GUYSouth America | 0.49342 | 0.83537 | 106 | Estimated |
GIBSouthern Europe | 0.49110 | 0.68583 | 51 | — |
SOMEastern Africa | 0.48905 | 0.82971 | 37 | — |
GRLNorthern America | 0.48058 | 0.84543 | 16 | — |
STPMiddle Africa | 0.47850 | 0.66881 | 23 | Estimated |
VCTCaribbean | 0.47774 | 0.80803 | 20 | Estimated |
PYFPolynesia | 0.47750 | 0.75552 | 47 | Estimated |
COKPolynesia | 0.47484 | 0.72528 | 11 | Estimated |
DZANorthern Africa | 0.47283 | 0.80781 | 124 | — |
MNGEastern Asia | 0.45626 | 0.84952 | 114 | Estimated |
GHAWestern Africa | 0.45036 | 0.82611 | 199 | Estimated |
MNPMicronesia | 0.44241 | 0.61513 | 22 | — |
ISLNorthern Europe | 0.44230 | 0.79314 | 133 | — |
MSRCaribbean | 0.43509 | 0.56947 | 33 | Estimated |
LBRWestern Africa | 0.42811 | 0.84697 | 66 | Estimated |
RWAEastern Africa | 0.41099 | 0.79726 | 130 | Estimated |
BENWestern Africa | 0.40919 | 0.79487 | 123 | Estimated |
KGZCentral Asia | 0.40739 | 0.72177 | 185 | Estimated |
TGOWestern Africa | 0.40646 | 0.71975 | 114 | Estimated |
BTNSouthern Asia | 0.40621 | 0.82632 | 60 | Estimated |
MRTWestern Africa | 0.40573 | 0.86656 | 58 | Estimated |
AFGSouthern Asia | 0.40444 | 0.85315 | 69 | Estimated |
CAFMiddle Africa | 0.40421 | 0.81679 | 35 | Estimated |
BGDSouthern Asia | 0.40202 | 0.88915 | 206 | Estimated |
CIVWestern Africa | 0.39641 | 0.77671 | 196 | Estimated |
UGAEastern Africa | 0.39529 | 0.79238 | 180 | Estimated |
ASMPolynesia | 0.38954 | 0.66830 | 114 | Estimated |
ECUSouth America | 0.38767 | 0.77431 | 193 | — |
SYCEastern Africa | 0.38690 | 0.79163 | 59 | Estimated |
PNGMelanesia | 0.38537 | 0.84378 | 116 | Estimated |
AIACaribbean | 0.38116 | 0.71469 | 19 | Estimated |
CMRMiddle Africa | 0.37269 | 0.76764 | 163 | Estimated |
CPVWestern Africa | 0.36929 | 0.73501 | 27 | Estimated |
BOLSouth America | 0.36871 | 0.86211 | 159 | Estimated |
ABWCaribbean | 0.36838 | 0.71128 | 68 | Estimated |
SDNNorthern Africa | 0.35875 | 0.82585 | 100 | — |
NERWestern Africa | 0.35331 | 0.82454 | 104 | Estimated |
TZAEastern Africa | 0.35194 | 0.77476 | 210 | Estimated |
BHSCaribbean | 0.35059 | 0.80559 | 77 | Estimated |
CUWCaribbean | 0.34889 | 0.66390 | 122 | Estimated |
ZWEEastern Africa | 0.34813 | 0.81153 | 160 | Estimated |
CYPWestern Asia | 0.34465 | 0.66284 | 154 | — |
LSOSouthern Africa | 0.34239 | 0.83867 | 75 | Estimated |
TONPolynesia | 0.33747 | 0.76024 | 27 | Estimated |
ERIEastern Africa | 0.33257 | 0.80245 | 39 | Estimated |
COLSouth America | 0.33095 | 0.66322 | 229 | — |
UZBCentral Asia | 0.33021 | 0.80179 | 197 | Estimated |
NORNorthern Europe | 0.32548 | 0.63816 | 240 | — |
TTOCaribbean | 0.32452 | 0.75793 | 187 | Estimated |
OMNWestern Asia | 0.32412 | 0.67663 | 234 | Estimated |
WSMPolynesia | 0.32139 | 0.65165 | 46 | Estimated |
CHLSouth America | 0.32106 | 0.76461 | 237 | — |
BHRWestern Asia | 0.32016 | 0.68562 | 216 | Estimated |
RUSEastern Europe | 0.31519 | 0.61999 | 254 | — |
TWNEastern Asia | 0.31403 | 0.48898 | 243 | — |
PRYSouth America | 0.31386 | 0.81983 | 162 | Estimated |
PHLSouth-eastern Asia | 0.31279 | 0.54522 | 232 | — |
SWZSouthern Africa | 0.31093 | 0.80645 | 151 | Estimated |
IRNSouthern Asia | 0.31051 | 0.67398 | 244 | Estimated |
ETHEastern Africa | 0.30886 | 0.78239 | 147 | Estimated |
TJKCentral Asia | 0.30372 | 0.81305 | 118 | Estimated |
AUSAustralia and New Zealand | 0.30370 | 0.72122 | 253 | Estimated |
LCACaribbean | 0.30029 | 0.64028 | 66 | Estimated |
HKGEastern Asia | 0.29820 | 0.57249 | 239 | — |
ARMWestern Asia | 0.29647 | 0.76220 | 158 | Estimated |
BLZCentral America | 0.28912 | 0.72707 | 102 | Estimated |
MDGEastern Africa | 0.28739 | 0.83801 | 123 | Estimated |
KNACaribbean | 0.28661 | 0.71669 | 32 | Estimated |
MOZEastern Africa | 0.28540 | 0.79026 | 154 | Estimated |
MLTSouthern Europe | 0.28427 | 0.61416 | 187 | Estimated |
NAMSouthern Africa | 0.28234 | 0.82679 | 187 | Estimated |
PERSouth America | 0.28101 | 0.76471 | 232 | Estimated |
GMBWestern Africa | 0.28061 | 0.73058 | 54 | Estimated |
IRLNorthern Europe | 0.27950 | 0.68317 | 239 | — |
CRICentral America | 0.27561 | 0.66682 | 218 | Estimated |
HNDCentral America | 0.26676 | 0.74726 | 199 | Estimated |
CUBCaribbean | 0.26629 | 0.76322 | 106 | Estimated |
GRCSouthern Europe | 0.26371 | 0.54920 | 243 | — |
SENWestern Africa | 0.26146 | 0.78221 | 201 | Estimated |
KHMSouth-eastern Asia | 0.25898 | 0.77087 | 164 | Estimated |
VUTMelanesia | 0.25518 | 0.74682 | 48 | Estimated |
AREWestern Asia | 0.25284 | 0.52984 | 256 | Estimated |
URYSouth America | 0.25215 | 0.73969 | 191 | — |
ALBSouthern Europe | 0.25107 | 0.68864 | 180 | Estimated |
CHEWestern Europe | 0.24973 | 0.64050 | 247 | — |
GEOWestern Asia | 0.24817 | 0.68453 | 200 | — |
MMRSouth-eastern Asia | 0.24105 | 0.78331 | 199 | Estimated |
LAOSouth-eastern Asia | 0.23957 | 0.73171 | 153 | Estimated |
SVKEastern Europe | 0.23503 | 0.49016 | 248 | — |
ANDSouthern Europe | 0.23141 | 0.54446 | 80 | Estimated |
NICCentral America | 0.23121 | 0.77286 | 169 | Estimated |
ARGSouth America | 0.22921 | 0.72375 | 215 | — |
FJIMelanesia | 0.22881 | 0.72820 | 163 | Estimated |
DMACaribbean | 0.22806 | 0.63993 | 44 | Estimated |
SGPSouth-eastern Asia | 0.22732 | 0.46037 | 253 | Estimated |
SLEWestern Africa | 0.22674 | 0.77715 | 127 | Estimated |
JORWestern Asia | 0.22376 | 0.63047 | 213 | — |
GRDCaribbean | 0.22280 | 0.70152 | 32 | Estimated |
MKDSouthern Europe | 0.22263 | 0.67393 | 204 | Estimated |
MYSSouth-eastern Asia | 0.21619 | 0.43356 | 254 | — |
LBNWestern Asia | 0.21483 | 0.67022 | 223 | Estimated |
SLVCentral America | 0.21142 | 0.69956 | 204 | Estimated |
KENEastern Africa | 0.20745 | 0.68376 | 229 | Estimated |
MACEastern Asia | 0.20725 | 0.61980 | 146 | Estimated |
PAKSouthern Asia | 0.20686 | 0.76766 | 215 | — |
NPLSouthern Asia | 0.20598 | 0.74650 | 119 | Estimated |
MDAEastern Europe | 0.20392 | 0.71627 | 177 | — |
MNESouthern Europe | 0.19765 | 0.66375 | 106 | — |
DOMCaribbean | 0.19115 | 0.67888 | 225 | Estimated |
NZLAustralia and New Zealand | 0.18985 | 0.71731 | 233 | — |
LKASouthern Asia | 0.18961 | 0.72428 | 219 | Estimated |
ISRWestern Asia | 0.18812 | 0.54713 | 228 | — |
MARNorthern Africa | 0.18162 | 0.68320 | 231 | Estimated |
PSEWestern Asia | 0.17743 | 0.66717 | 145 | Estimated |
MUSEastern Africa | 0.17489 | 0.65758 | 195 | Estimated |
BRBCaribbean | 0.17360 | 0.67163 | 115 | Estimated |
KOREastern Asia | 0.17155 | 0.43325 | 249 | — |
VNMSouth-eastern Asia | 0.16912 | 0.54667 | 245 | — |
BRASouth America | 0.16528 | 0.58708 | 248 | — |
UKREastern Europe | 0.15460 | 0.69392 | 243 | — |
GTMCentral America | 0.15442 | 0.72200 | 218 | Estimated |
EGYNorthern Africa | 0.15359 | 0.58437 | 234 | Estimated |
CANNorthern America | 0.15133 | 0.38051 | 256 | — |
BLREastern Europe | 0.14915 | 0.54366 | 242 | Estimated |
PRKEastern Asia | 0.14212 | 0.59963 | 116 | — |
JPNEastern Asia | 0.14163 | 0.39654 | 243 | — |
TUNNorthern Africa | 0.14147 | 0.52529 | 218 | — |
ZAFSouthern Africa | 0.13880 | 0.54173 | 253 | — |
MEXCentral America | 0.13790 | 0.43659 | 244 | — |
PANCentral America | 0.13475 | 0.53994 | 219 | Estimated |
FINNorthern Europe | 0.13392 | 0.51550 | 239 | — |
SVNSouthern Europe | 0.12870 | 0.43522 | 249 | Estimated |
CZEEastern Europe | 0.12862 | 0.42486 | 252 | — |
IDNSouth-eastern Asia | 0.12611 | 0.56042 | 246 | — |
INDSouthern Asia | 0.12495 | 0.43859 | 254 | — |
DJIEastern Africa | 0.12163 | 0.56330 | 193 | Estimated |
SYRWestern Asia | 0.11494 | 0.61684 | 215 | Estimated |
HUNEastern Europe | 0.11177 | 0.40224 | 253 | Estimated |
ROUEastern Europe | 0.11084 | 0.45339 | 244 | — |
GBRNorthern Europe | 0.10461 | 0.32027 | 258 | — |
LUXWestern Europe | 0.10460 | 0.53154 | 242 | Estimated |
LTUNorthern Europe | 0.10314 | 0.43732 | 246 | — |
BIHSouthern Europe | 0.10256 | 0.62916 | 217 | Estimated |
BELWestern Europe | 0.10110 | 0.41069 | 256 | — |
USANorthern America | 0.10060 | 0.22987 | 260 | — |
ESPSouthern Europe | 0.09862 | 0.34172 | 255 | — |
SWENorthern Europe | 0.09606 | 0.35394 | 250 | — |
CHNEastern Asia | 0.09476 | 0.40346 | 257 | — |
FRAWestern Europe | 0.09317 | 0.33507 | 258 | — |
DEUWestern Europe | 0.09067 | 0.30411 | 257 | — |
BGREastern Europe | 0.08556 | 0.44903 | 253 | Estimated |
NLDWestern Europe | 0.08474 | 0.31454 | 257 | Estimated |
ESTNorthern Europe | 0.08427 | 0.43236 | 239 | — |
SRBSouthern Europe | 0.08278 | 0.50005 | 246 | — |
PRTSouthern Europe | 0.08199 | 0.42777 | 249 | — |
DNKNorthern Europe | 0.07969 | 0.43938 | 252 | Estimated |
LVANorthern Europe | 0.07812 | 0.44771 | 244 | Estimated |
THASouth-eastern Asia | 0.07711 | 0.36301 | 248 | — |
TURWestern Asia | 0.07225 | 0.40920 | 252 | — |
AUTWestern Europe | 0.06910 | 0.33757 | 248 | — |
HRVSouthern Europe | 0.06881 | 0.43616 | 243 | — |
POLEastern Europe | 0.06619 | 0.40645 | 252 | — |
ITASouthern Europe | 0.05647 | 0.35512 | 256 | — |
02In 2019
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
Niue0.95406
South Sudan0.92830
Iraq0.91545
Cayman Islands0.89602
Botswana0.89230
Neither end is better. The values describe a shape, not a score. The middle country reads 0.31279. “Shared” marks a value another country also holds.
Each measure’s ends
Export diversification index (0–1)
Highest
New Caledonia0.94312
Lowest
United States0.22987
Middle country: 0.72528
Products exported (SITC 3-digit groups)
Highest
United States260
Lowest
Niue5
Middle country: 165
032018 → 2019
Since 2018
- +0 / −0countries joined / left
- 213values changed, of 213 in both
- 111 · 102rose · fell
- 0unchanged
Rose most
Turks and Caicos Islands0.26309 → 0.77184+0.50875
Bermuda0.44484 → 0.80208+0.35724
Maldives0.46888 → 0.65437+0.18549
Nauru0.38825 → 0.56019+0.17194
Tanzania0.18025 → 0.35194+0.17169
Fell most
São Tomé and Príncipe0.96377 → 0.47850−0.48527
Iran0.52234 → 0.31051−0.21183
Comoros0.67571 → 0.51240−0.16332
Cabo Verde0.52983 → 0.36929−0.16055
Cuba0.41531 → 0.26629−0.14902
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 2019.
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-2019-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) (2019). Export Concentration Index, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/export-concentration/2019
0631 held
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How it has moved, charted by country