Data for 2019
Export Concentration Index, 2019
2019, as UNCTAD’s 2026 release gives it · stored as published, never rewritten
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. 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, 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
| 0.95406 | 0.80726 | 5 | — | |
| 0.92830 | 0.80280 | 21 | — | |
| 0.91545 | 0.86603 | 165 | Estimated | |
| 0.89602 | 0.84903 | 9 | Estimated | |
| 0.89230 | 0.92074 | 138 | Estimated | |
| 0.87864 | 0.88530 | 146 | Estimated | |
| 0.84144 | 0.81714 | 6 | Estimated | |
| 0.83769 | 0.78935 | 41 | More than 30% of total trade under "931: Special transactions & commodities not classified" | |
| 0.83171 | 0.83359 | 69 | Estimated | |
| 0.81901 | 0.88131 | 72 | Estimated | |
| 0.81347 | 0.73013 | 11 | Estimated | |
| 0.80208 | 0.81253 | 11 | Estimated | |
| 0.79460 | 0.87617 | 122 | Estimated | |
| 0.78128 | 0.82947 | 181 | Estimated | |
| 0.78088 | 0.83319 | 126 | Estimated | |
| 0.77651 | 0.86323 | 196 | Estimated | |
| 0.77241 | 0.80288 | 198 | — | |
| 0.77184 | 0.78800 | 14 | Estimated | |
| 0.75978 | 0.76348 | 10 | — | |
| 0.73263 | 0.83712 | 58 | Estimated | |
| 0.71898 | 0.85360 | 98 | Estimated | |
| 0.71152 | 0.85206 | 105 | Estimated | |
| 0.69079 | 0.84429 | 64 | Estimated | |
| 0.68222 | 0.81899 | 40 | — | |
| 0.67991 | 0.85503 | 183 | Estimated | |
| 0.67767 | 0.81312 | 11 | Estimated | |
| 0.65943 | 0.84985 | 11 | Estimated | |
| 0.65466 | 0.68390 | 13 | — | |
| 0.65437 | 0.83131 | 35 | Estimated | |
| 0.63299 | 0.91223 | 40 | Estimated | |
| 0.62506 | 0.94312 | 91 | Estimated | |
| 0.60844 | 0.78371 | 222 | Estimated | |
| 0.60209 | 0.76764 | 244 | Estimated | |
| 0.59523 | 0.87117 | 105 | Estimated | |
| 0.58323 | 0.87798 | 126 | Estimated | |
| 0.56423 | 0.79228 | 24 | Estimated | |
| 0.56019 | 0.70189 | 14 | — | |
| 0.55983 | 0.79333 | 126 | — | |
| 0.55772 | 0.78089 | 238 | — | |
| 0.55626 | 0.75815 | 115 | Estimated | |
| 0.55060 | 0.82179 | 30 | Estimated | |
| 0.53473 | 0.85494 | 83 | — | |
| 0.52926 | 0.72532 | 19 | Estimated | |
| 0.51240 | 0.77846 | 12 | Estimated | |
| 0.50562 | 0.79369 | 126 | — | |
| 0.50264 | 0.62674 | 41 | Estimated | |
| 0.50018 | 0.87218 | 122 | Estimated | |
| 0.49427 | 0.69542 | 17 | — | |
| 0.49424 | 0.79963 | 204 | Estimated | |
| 0.49423 | 0.82069 | 108 | Estimated | |
| 0.49342 | 0.83537 | 106 | Estimated | |
| 0.49110 | 0.68583 | 51 | — | |
| 0.48905 | 0.82971 | 37 | — | |
| 0.48058 | 0.84543 | 16 | — | |
| 0.47850 | 0.66881 | 23 | Estimated | |
| 0.47774 | 0.80803 | 20 | Estimated | |
| 0.47750 | 0.75552 | 47 | Estimated | |
| 0.47484 | 0.72528 | 11 | Estimated | |
| 0.47283 | 0.80781 | 124 | — | |
| 0.45626 | 0.84952 | 114 | Estimated | |
| 0.45036 | 0.82611 | 199 | Estimated | |
| 0.44241 | 0.61513 | 22 | — | |
| 0.44230 | 0.79314 | 133 | — | |
| 0.43509 | 0.56947 | 33 | Estimated | |
| 0.42811 | 0.84697 | 66 | Estimated | |
| 0.41099 | 0.79726 | 130 | Estimated | |
| 0.40919 | 0.79487 | 123 | Estimated | |
| 0.40739 | 0.72177 | 185 | Estimated | |
| 0.40646 | 0.71975 | 114 | Estimated | |
| 0.40621 | 0.82632 | 60 | Estimated | |
| 0.40573 | 0.86656 | 58 | Estimated | |
| 0.40444 | 0.85315 | 69 | Estimated | |
| 0.40421 | 0.81679 | 35 | Estimated | |
| 0.40202 | 0.88915 | 206 | Estimated | |
| 0.39641 | 0.77671 | 196 | Estimated | |
| 0.39529 | 0.79238 | 180 | Estimated | |
| 0.38954 | 0.66830 | 114 | Estimated | |
| 0.38767 | 0.77431 | 193 | — | |
| 0.38690 | 0.79163 | 59 | Estimated | |
| 0.38537 | 0.84378 | 116 | Estimated | |
| 0.38116 | 0.71469 | 19 | Estimated | |
| 0.37269 | 0.76764 | 163 | Estimated | |
| 0.36929 | 0.73501 | 27 | Estimated | |
| 0.36871 | 0.86211 | 159 | Estimated | |
| 0.36838 | 0.71128 | 68 | Estimated | |
| 0.35875 | 0.82585 | 100 | — | |
| 0.35331 | 0.82454 | 104 | Estimated | |
| 0.35194 | 0.77476 | 210 | Estimated | |
| 0.35059 | 0.80559 | 77 | Estimated | |
| 0.34889 | 0.66390 | 122 | Estimated | |
| 0.34813 | 0.81153 | 160 | Estimated | |
| 0.34465 | 0.66284 | 154 | — | |
| 0.34239 | 0.83867 | 75 | Estimated | |
| 0.33747 | 0.76024 | 27 | Estimated | |
| 0.33257 | 0.80245 | 39 | Estimated | |
| 0.33095 | 0.66322 | 229 | — | |
| 0.33021 | 0.80179 | 197 | Estimated | |
| 0.32548 | 0.63816 | 240 | — | |
| 0.32452 | 0.75793 | 187 | Estimated | |
| 0.32412 | 0.67663 | 234 | Estimated | |
| 0.32139 | 0.65165 | 46 | Estimated | |
| 0.32106 | 0.76461 | 237 | — | |
| 0.32016 | 0.68562 | 216 | Estimated | |
| 0.31519 | 0.61999 | 254 | — | |
| 0.31403 | 0.48898 | 243 | — | |
| 0.31386 | 0.81983 | 162 | Estimated | |
| 0.31279 | 0.54522 | 232 | — | |
| 0.31093 | 0.80645 | 151 | Estimated | |
| 0.31051 | 0.67398 | 244 | Estimated | |
| 0.30886 | 0.78239 | 147 | Estimated | |
| 0.30372 | 0.81305 | 118 | Estimated | |
| 0.30370 | 0.72122 | 253 | Estimated | |
| 0.30029 | 0.64028 | 66 | Estimated | |
| 0.29820 | 0.57249 | 239 | — | |
| 0.29647 | 0.76220 | 158 | Estimated | |
| 0.28912 | 0.72707 | 102 | Estimated | |
| 0.28739 | 0.83801 | 123 | Estimated | |
| 0.28661 | 0.71669 | 32 | Estimated | |
| 0.28540 | 0.79026 | 154 | Estimated | |
| 0.28427 | 0.61416 | 187 | Estimated | |
| 0.28234 | 0.82679 | 187 | Estimated | |
| 0.28101 | 0.76471 | 232 | Estimated | |
| 0.28061 | 0.73058 | 54 | Estimated | |
| 0.27950 | 0.68317 | 239 | — | |
| 0.27561 | 0.66682 | 218 | Estimated | |
| 0.26676 | 0.74726 | 199 | Estimated | |
| 0.26629 | 0.76322 | 106 | Estimated | |
| 0.26371 | 0.54920 | 243 | — | |
| 0.26146 | 0.78221 | 201 | Estimated | |
| 0.25898 | 0.77087 | 164 | Estimated | |
| 0.25518 | 0.74682 | 48 | Estimated | |
| 0.25284 | 0.52984 | 256 | Estimated | |
| 0.25215 | 0.73969 | 191 | — | |
| 0.25107 | 0.68864 | 180 | Estimated | |
| 0.24973 | 0.64050 | 247 | — | |
| 0.24817 | 0.68453 | 200 | — | |
| 0.24105 | 0.78331 | 199 | Estimated | |
| 0.23957 | 0.73171 | 153 | Estimated | |
| 0.23503 | 0.49016 | 248 | — | |
| 0.23141 | 0.54446 | 80 | Estimated | |
| 0.23121 | 0.77286 | 169 | Estimated | |
| 0.22921 | 0.72375 | 215 | — | |
| 0.22881 | 0.72820 | 163 | Estimated | |
| 0.22806 | 0.63993 | 44 | Estimated | |
| 0.22732 | 0.46037 | 253 | Estimated | |
| 0.22674 | 0.77715 | 127 | Estimated | |
| 0.22376 | 0.63047 | 213 | — | |
| 0.22280 | 0.70152 | 32 | Estimated | |
| 0.22263 | 0.67393 | 204 | Estimated | |
| 0.21619 | 0.43356 | 254 | — | |
| 0.21483 | 0.67022 | 223 | Estimated | |
| 0.21142 | 0.69956 | 204 | Estimated | |
| 0.20745 | 0.68376 | 229 | Estimated | |
| 0.20725 | 0.61980 | 146 | Estimated | |
| 0.20686 | 0.76766 | 215 | — | |
| 0.20598 | 0.74650 | 119 | Estimated | |
| 0.20392 | 0.71627 | 177 | — | |
| 0.19765 | 0.66375 | 106 | — | |
| 0.19115 | 0.67888 | 225 | Estimated | |
| 0.18985 | 0.71731 | 233 | — | |
| 0.18961 | 0.72428 | 219 | Estimated | |
| 0.18812 | 0.54713 | 228 | — | |
| 0.18162 | 0.68320 | 231 | Estimated | |
| 0.17743 | 0.66717 | 145 | Estimated | |
| 0.17489 | 0.65758 | 195 | Estimated | |
| 0.17360 | 0.67163 | 115 | Estimated | |
| 0.17155 | 0.43325 | 249 | — | |
| 0.16912 | 0.54667 | 245 | — | |
| 0.16528 | 0.58708 | 248 | — | |
| 0.15460 | 0.69392 | 243 | — | |
| 0.15442 | 0.72200 | 218 | Estimated | |
| 0.15359 | 0.58437 | 234 | Estimated | |
| 0.15133 | 0.38051 | 256 | — | |
| 0.14915 | 0.54366 | 242 | Estimated | |
| 0.14212 | 0.59963 | 116 | — | |
| 0.14163 | 0.39654 | 243 | — | |
| 0.14147 | 0.52529 | 218 | — | |
| 0.13880 | 0.54173 | 253 | — | |
| 0.13790 | 0.43659 | 244 | — | |
| 0.13475 | 0.53994 | 219 | Estimated | |
| 0.13392 | 0.51550 | 239 | — | |
| 0.12870 | 0.43522 | 249 | Estimated | |
| 0.12862 | 0.42486 | 252 | — | |
| 0.12611 | 0.56042 | 246 | — | |
| 0.12495 | 0.43859 | 254 | — | |
| 0.12163 | 0.56330 | 193 | Estimated | |
| 0.11494 | 0.61684 | 215 | Estimated | |
| 0.11177 | 0.40224 | 253 | Estimated | |
| 0.11084 | 0.45339 | 244 | — | |
| 0.10461 | 0.32027 | 258 | — | |
| 0.10460 | 0.53154 | 242 | Estimated | |
| 0.10314 | 0.43732 | 246 | — | |
| 0.10256 | 0.62916 | 217 | Estimated | |
| 0.10110 | 0.41069 | 256 | — | |
| 0.10060 | 0.22987 | 260 | — | |
| 0.09862 | 0.34172 | 255 | — | |
| 0.09606 | 0.35394 | 250 | — | |
| 0.09476 | 0.40346 | 257 | — | |
| 0.09317 | 0.33507 | 258 | — | |
| 0.09067 | 0.30411 | 257 | — | |
| 0.08556 | 0.44903 | 253 | Estimated | |
| 0.08474 | 0.31454 | 257 | Estimated | |
| 0.08427 | 0.43236 | 239 | — | |
| 0.08278 | 0.50005 | 246 | — | |
| 0.08199 | 0.42777 | 249 | — | |
| 0.07969 | 0.43938 | 252 | Estimated | |
| 0.07812 | 0.44771 | 244 | Estimated | |
| 0.07711 | 0.36301 | 248 | — | |
| 0.07225 | 0.40920 | 252 | — | |
| 0.06910 | 0.33757 | 248 | — | |
| 0.06881 | 0.43616 | 243 | — | |
| 0.06619 | 0.40645 | 252 | — | |
| 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
What changed between 2018 and this one: who joined or left, and how far the headline moved.
- +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
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 2019.
Which end is better
Neither end is better. The values describe a shape, not a score.
75 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-2019-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) (2019). Export Concentration Index, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/export-concentration/2019
0631 held
Other years
‹ The year before
Export Concentration Index, 2018213 countries
The year after ›
Export Concentration Index, 2020213 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, 2019: questions and answers
Which country has the highest export concentration in Export Concentration Index, 2019?
Niue, at 0.95406, of the 213 countries in the file.
What year does Export Concentration Index, 2019 describe?
2019.
How many countries does Export Concentration Index, 2019 cover?
213.
Where can I download Export Concentration Index, 2019?
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, 2019 the newest?
No. The newest held here is Export Concentration Index, 2025.