Data for 2018
ICT Goods Exports, 2018
2018, as UNCTAD’s 2026 release gives it · stored as published, never rewritten
ICT Goods Exports, 2018 covers 170 countries. Hong Kong is highest, at 54.82; 6 countries share the lowest reading, 0.00. The middle country reads 0.48. Against 2017, 156 values changed (58 up, 98 down), 4 countries joined, 5 left.
ICT Goods Exports · Data for 2018
HighestHong Kong
54.82Lowest6 countries share it
0.00Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of ICT Goods Exports, 2018, as published. UNCTAD ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 170 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | HKGEastern Asia | 54.82 |
| 2 | PHLSouth-eastern Asia | 37.00 |
| 3 | VNMSouth-eastern Asia | 32.92 |
| 4 | MYSSouth-eastern Asia | 31.08 |
| 5 | SGPSouth-eastern Asia | 29.12 |
| 6 | KOREastern Asia | 27.09 |
| 7 | CHNEastern Asia | 26.61 |
| 8 | ANDSouthern Europe | 26.37 |
| 9 | MLTSouthern Europe | 15.68 |
| 10 | THASouth-eastern Asia | 15.11 |
| =11 | CZEEastern Europe | 15.02 |
| =11 | MEXCentral America | 15.02 |
| 13 | SVKEastern Europe | 14.29 |
| 14 | ISRWestern Asia | 11.47 |
| 15 | HUNEastern Europe | 11.30 |
| 16 | PANCentral America | 11.17 |
| 17 | LCACaribbean | 10.36 |
| 18 | NLDWestern Europe | 9.99 |
| =19 | LVANorthern Europe | 8.68 |
| =19 | USANorthern America | 8.68 |
| 21 | ESTNorthern Europe | 8.49 |
| 22 | LAOSouth-eastern Asia | 7.63 |
| 23 | JPNEastern Asia | 7.56 |
| 24 | AREWestern Asia | 7.04 |
| 25 | GRDCaribbean | 6.93 |
| 26 | POLEastern Europe | 6.89 |
| 27 | IRLNorthern Europe | 6.73 |
| 28 | SWENorthern Europe | 5.71 |
| 29 | BMUNorthern America | 5.36 |
| 30 | DEUWestern Europe | 4.79 |
| 31 | CYPWestern Asia | 4.53 |
| 32 | TZAEastern Africa | 4.17 |
| 33 | TUNNorthern Africa | 4.13 |
| 34 | FJIMelanesia | 4.05 |
| 35 | FRAWestern Europe | 3.86 |
| 36 | GBRNorthern Europe | 3.82 |
| 37 | DNKNorthern Europe | 3.65 |
| 38 | LTUNorthern Europe | 3.43 |
| 39 | AUTWestern Europe | 3.33 |
| 40 | BGREastern Europe | 3.25 |
| 41 | GRCSouthern Europe | 3.10 |
| 42 | DMACaribbean | 3.06 |
| 43 | PRTSouthern Europe | 3.00 |
| 44 | ROUEastern Europe | 2.92 |
| 45 | CUWCaribbean | 2.86 |
| 46 | IDNSouth-eastern Asia | 2.81 |
| 47 | FINNorthern Europe | 2.58 |
| 48 | ETHEastern Africa | 2.42 |
| 49 | EGYNorthern Africa | 2.40 |
| 50 | MUSEastern Africa | 2.39 |
| 51 | LSOSouthern Africa | 2.31 |
| 52 | MARNorthern Africa | 2.10 |
| 53 | HRVSouthern Europe | 2.06 |
| 54 | JORWestern Asia | 1.95 |
| 55 | ITASouthern Europe | 1.93 |
| 56 | LBRWestern Africa | 1.85 |
| 57 | CANNorthern America | 1.79 |
| 58 | BELWestern Europe | 1.75 |
| 59 | DOMCaribbean | 1.74 |
| 60 | LUXWestern Europe | 1.72 |
| 61 | MACEastern Asia | 1.59 |
| 62 | SVNSouthern Europe | 1.50 |
| 63 | ESPSouthern Europe | 1.44 |
| 64 | KHMSouth-eastern Asia | 1.43 |
| 65 | ABWCaribbean | 1.33 |
| 66 | TURWestern Asia | 1.17 |
| 67 | ATGCaribbean | 1.16 |
| 68 | INDSouthern Asia | 1.14 |
| 69 | CHEWestern Europe | 1.07 |
| 70 | NZLAustralia and New Zealand | 1.04 |
| 71 | AUSAustralia and New Zealand | 0.98 |
| 72 | UKREastern Europe | 0.97 |
| 73 | SRBSouthern Europe | 0.96 |
| 74 | ZAFSouthern Africa | 0.95 |
| 75 | NORNorthern Europe | 0.92 |
| 76 | PYFPolynesia | 0.91 |
| 77 | CRICentral America | 0.89 |
| 78 | BLREastern Europe | 0.74 |
| 79 | LBNWestern Asia | 0.68 |
| 80 | SWZSouthern Africa | 0.63 |
| =81 | BHSCaribbean | 0.62 |
| =81 | BRBCaribbean | 0.62 |
| 83 | MMRSouth-eastern Asia | 0.60 |
| 84 | MKDSouthern Europe | 0.58 |
| 85 | MNESouthern Europe | 0.50 |
| 86 | RUSEastern Europe | 0.46 |
| 87 | GEOWestern Asia | 0.45 |
| 88 | OMNWestern Asia | 0.44 |
| 89 | MOZEastern Africa | 0.40 |
| =90 | BHRWestern Asia | 0.39 |
| =90 | PSEWestern Asia | 0.39 |
| 92 | STPMiddle Africa | 0.38 |
| 93 | TONPolynesia | 0.37 |
| 94 | BRASouth America | 0.36 |
| 95 | RWAEastern Africa | 0.35 |
| 96 | VCTCaribbean | 0.33 |
| 97 | WSMPolynesia | 0.32 |
| 98 | ARMWestern Asia | 0.31 |
| 99 | CHLSouth America | 0.29 |
| 100 | KENEastern Africa | 0.27 |
| =101 | GHAWestern Africa | 0.26 |
| =101 | SENWestern Africa | 0.26 |
| =101 | UGAEastern Africa | 0.26 |
| =104 | SLVCentral America | 0.24 |
| =104 | NAMSouthern Africa | 0.24 |
| =104 | NPLSouthern Asia | 0.24 |
| =107 | BWASouthern Africa | 0.23 |
| =107 | MDAEastern Europe | 0.23 |
| =109 | COLSouth America | 0.21 |
| =109 | GTMCentral America | 0.21 |
| 111 | KWTWestern Asia | 0.20 |
| =112 | CUBCaribbean | 0.19 |
| =112 | JAMCaribbean | 0.19 |
| 114 | ISLNorthern Europe | 0.18 |
| =115 | BIHSouthern Europe | 0.17 |
| =115 | BRNSouth-eastern Asia | 0.17 |
| =115 | CMRMiddle Africa | 0.17 |
| =118 | NERWestern Africa | 0.16 |
| =118 | PAKSouthern Asia | 0.16 |
| 120 | BDIEastern Africa | 0.14 |
| =121 | BLZCentral America | 0.13 |
| =121 | KGZCentral Asia | 0.13 |
| =123 | BENWestern Africa | 0.12 |
| =123 | SYCEastern Africa | 0.12 |
| =123 | ZMBEastern Africa | 0.12 |
| =126 | KAZCentral Asia | 0.11 |
| =126 | URYSouth America | 0.11 |
| =126 | UZBCentral Asia | 0.11 |
| 129 | SAUWestern Asia | 0.10 |
| 130 | CAFMiddle Africa | 0.09 |
| =131 | BOLSouth America | 0.08 |
| =131 | ECUSouth America | 0.08 |
| =131 | PERSouth America | 0.08 |
| =131 | TTOCaribbean | 0.08 |
| =135 | HNDCentral America | 0.07 |
| =135 | KIRMicronesia | 0.07 |
| =135 | NICCentral America | 0.07 |
| =135 | PRYSouth America | 0.07 |
| =139 | ARGSouth America | 0.06 |
| =139 | COMEastern Africa | 0.06 |
| =139 | GMBWestern Africa | 0.06 |
| =139 | TGOWestern Africa | 0.06 |
| =143 | CIVWestern Africa | 0.05 |
| =143 | MDGEastern Africa | 0.05 |
| =143 | MWIEastern Africa | 0.05 |
| =146 | BGDSouthern Asia | 0.03 |
| =146 | BFAWestern Africa | 0.03 |
| =146 | GUYSouth America | 0.03 |
| =146 | PLWMicronesia | 0.03 |
| =150 | ALBSouthern Europe | 0.02 |
| =150 | AZEWestern Asia | 0.02 |
| =150 | GABMiddle Africa | 0.02 |
| =150 | GRLNorthern America | 0.02 |
| =150 | IRNSouthern Asia | 0.02 |
| =150 | MLIWestern Africa | 0.02 |
| =150 | MNGEastern Asia | 0.02 |
| =150 | SLEWestern Africa | 0.02 |
| =150 | TJKCentral Asia | 0.02 |
| =150 | ZWEEastern Africa | 0.02 |
| =160 | AGOMiddle Africa | 0.01 |
| =160 | CODMiddle Africa | 0.01 |
| =160 | COGMiddle Africa | 0.01 |
| =160 | SLBMelanesia | 0.01 |
| =160 | SDNNorthern Africa | 0.01 |
| =165 | AFGSouthern Asia | 0.00 |
| =165 | CPVWestern Africa | 0.00 |
| =165 | LBYNorthern Africa | 0.00 |
| =165 | NGAWestern Africa | 0.00 |
| =165 | QATWestern Asia | 0.00 |
| =165 | SURSouth America | 0.00 |
02In 2018
At either end
The 5 countries at each end of the headline.
Highest
- 1
Hong Kong54.82
- 2
Philippines37.00
- 3
Vietnam32.92
- 4
Malaysia31.08
- 5
Singapore29.12
Lowest
- 165
Surinameshared0.00
- 165
Qatarshared0.00
- 165
Nigeriashared0.00
- 165
Libyashared0.00
- 165
Cabo Verdeshared0.00
A higher value is the better result. The middle country reads 0.48. “Shared” marks a value another country also holds.
032017 → 2018
Since 2017
What changed between 2017 and this one: who joined or left, and how far the headline moved.
- +4 / −5countries joined / left
- 156values changed, of 166 in both
- 58 · 98rose · fell
- 10unchanged
Rose most
Grenada1.75 → 6.93+5.18
Tanzania0.06 → 4.17+4.11
Andorra22.52 → 26.37+3.85
Hong Kong51.06 → 54.82+3.76
South Korea23.90 → 27.09+3.19
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 2018.
119 distinct values among 170
Values are stored exactly as published, to 2 decimals. 10 countries share 0.02. Countries sharing a value share a position too.
The position is ours
UNCTAD publishes values only; the order is this site’s.
Nothing missing
Every one of the 170 countries has every column.
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
170 rows · 4.5 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download ict-goods-exports-2018-nations-inquiry.csv - ↗
The publisher’s original
UNCTAD’s own file, on its own site.
TX.VAL.ICTG.ZS.UN
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 · what it allows, in plain words
Cite this edition
UN Trade and Development (UNCTAD) (2018). ICT Goods Exports, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/ict-goods-exports/2018
0625 held
Other years
‹ The year before
ICT Goods Exports, 2017171 countries
The year after ›
ICT Goods Exports, 2019166 countries
All of them
ICT Goods Exports: every year25 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
ICT Goods Exports, 2018: questions and answers
Which country has the highest ICT goods exports in ICT Goods Exports, 2018?
Hong Kong, at 54.82, of the 170 countries in the file.
What year does ICT Goods Exports, 2018 describe?
2018.
How many countries does ICT Goods Exports, 2018 cover?
170.
Where can I download ICT Goods Exports, 2018?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is ICT Goods Exports, 2018 the newest?
No. The newest held here is ICT Goods Exports, 2024.