Data for 2014
ICT Goods Exports, 2014
2014, as UNCTAD’s 2026 release gives it · stored as published, never rewritten
ICT Goods Exports, 2014 covers 161 countries. Hong Kong is highest, at 44.88; 4 countries share the lowest reading, 0.00. The middle country reads 0.76. Against 2013, 149 values changed (86 up, 63 down), 5 countries joined, 6 left.
ICT Goods Exports · Data for 2014
HighestHong Kong
44.88Lowest4 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, 2014, 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 161 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | HKGEastern Asia | 44.88 |
| 2 | PHLSouth-eastern Asia | 31.22 |
| 3 | KNACaribbean | 30.82 |
| 4 | SGPSouth-eastern Asia | 28.96 |
| 5 | MYSSouth-eastern Asia | 27.15 |
| 6 | CHNEastern Asia | 25.08 |
| 7 | VNMSouth-eastern Asia | 23.89 |
| 8 | ANDSouthern Europe | 21.64 |
| 9 | KOREastern Asia | 19.17 |
| 10 | SVKEastern Europe | 17.60 |
| 11 | CRICentral America | 16.42 |
| 12 | THASouth-eastern Asia | 15.92 |
| 13 | MEXCentral America | 15.59 |
| 14 | CZEEastern Europe | 13.27 |
| 15 | ESTNorthern Europe | 12.78 |
| 16 | BMUNorthern America | 12.59 |
| 17 | HUNEastern Europe | 11.88 |
| 18 | MUSEastern Africa | 11.76 |
| 19 | LCACaribbean | 11.55 |
| 20 | ISRWestern Asia | 11.10 |
| 21 | NLDWestern Europe | 10.54 |
| 22 | LVANorthern Europe | 9.63 |
| 23 | MLTSouthern Europe | 8.81 |
| 24 | USANorthern America | 8.76 |
| 25 | JPNEastern Asia | 7.69 |
| 26 | POLEastern Europe | 7.51 |
| 27 | PANCentral America | 6.98 |
| 28 | LAOSouth-eastern Asia | 6.91 |
| 29 | SWENorthern Europe | 6.86 |
| 30 | TUNNorthern Africa | 5.73 |
| 31 | IRLNorthern Europe | 5.52 |
| 32 | PLWMicronesia | 4.37 |
| 33 | DEUWestern Europe | 4.30 |
| 34 | AUTWestern Europe | 4.21 |
| 35 | GBRNorthern Europe | 4.11 |
| 36 | GRDCaribbean | 4.09 |
| 37 | ROUEastern Europe | 3.83 |
| 38 | FRAWestern Europe | 3.78 |
| 39 | DNKNorthern Europe | 3.53 |
| 40 | IDNSouth-eastern Asia | 3.36 |
| 41 | MACEastern Asia | 3.18 |
| 42 | CYPWestern Asia | 2.93 |
| 43 | EGYNorthern Africa | 2.84 |
| 44 | LTUNorthern Europe | 2.82 |
| 45 | MARNorthern Africa | 2.69 |
| 46 | FINNorthern Europe | 2.58 |
| 47 | BGREastern Europe | 2.50 |
| 48 | VCTCaribbean | 2.32 |
| 49 | GRCSouthern Europe | 2.29 |
| 50 | PRTSouthern Europe | 2.26 |
| 51 | AREWestern Asia | 2.25 |
| 52 | ATGCaribbean | 2.23 |
| 53 | CANNorthern America | 1.89 |
| 54 | HRVSouthern Europe | 1.88 |
| 55 | JORWestern Asia | 1.84 |
| 56 | LUXWestern Europe | 1.83 |
| 57 | TURWestern Asia | 1.80 |
| 58 | SVNSouthern Europe | 1.75 |
| 59 | BELWestern Europe | 1.72 |
| 60 | FJIMelanesia | 1.69 |
| 61 | ITASouthern Europe | 1.61 |
| 62 | ZAFSouthern Africa | 1.48 |
| 63 | SRBSouthern Europe | 1.37 |
| 64 | BHRWestern Asia | 1.30 |
| 65 | ESPSouthern Europe | 1.12 |
| 66 | RWAEastern Africa | 1.11 |
| 67 | AUSAustralia and New Zealand | 1.07 |
| 68 | LBNWestern Asia | 1.04 |
| =69 | DOMCaribbean | 1.00 |
| =69 | CHEWestern Europe | 1.00 |
| 71 | UKREastern Europe | 0.94 |
| 72 | ABWCaribbean | 0.93 |
| 73 | INDSouthern Asia | 0.91 |
| =74 | NZLAustralia and New Zealand | 0.88 |
| =74 | NORNorthern Europe | 0.88 |
| =76 | PYFPolynesia | 0.86 |
| =76 | NAMSouthern Africa | 0.86 |
| 78 | KAZCentral Asia | 0.84 |
| 79 | RUSEastern Europe | 0.79 |
| 80 | TONPolynesia | 0.78 |
| 81 | BRBCaribbean | 0.76 |
| 82 | LSOSouthern Africa | 0.68 |
| 83 | UGAEastern Africa | 0.65 |
| 84 | GEOWestern Asia | 0.64 |
| 85 | LKASouthern Asia | 0.62 |
| 86 | MWIEastern Africa | 0.61 |
| 87 | MNESouthern Europe | 0.59 |
| 88 | BDIEastern Africa | 0.57 |
| 89 | BLREastern Europe | 0.56 |
| 90 | SLVCentral America | 0.46 |
| =91 | KHMSouth-eastern Asia | 0.42 |
| =91 | PSEWestern Asia | 0.42 |
| =93 | CHLSouth America | 0.41 |
| =93 | ETHEastern Africa | 0.41 |
| =93 | MKDSouthern Europe | 0.41 |
| =96 | BRASouth America | 0.40 |
| =96 | NERWestern Africa | 0.40 |
| =96 | TZAEastern Africa | 0.40 |
| 99 | WSMPolynesia | 0.37 |
| =100 | SENWestern Africa | 0.36 |
| =100 | TGOWestern Africa | 0.36 |
| 102 | JAMCaribbean | 0.29 |
| 103 | BHSCaribbean | 0.27 |
| 104 | ARMWestern Asia | 0.26 |
| 105 | GTMCentral America | 0.24 |
| =106 | ARGSouth America | 0.23 |
| =106 | NCLMelanesia | 0.23 |
| =108 | MDAEastern Europe | 0.19 |
| =108 | PAKSouthern Asia | 0.19 |
| =110 | BRNSouth-eastern Asia | 0.18 |
| =110 | COLSouth America | 0.18 |
| =110 | CIVWestern Africa | 0.18 |
| =113 | BENWestern Africa | 0.17 |
| =113 | COMEastern Africa | 0.17 |
| =113 | HNDCentral America | 0.17 |
| 116 | BIHSouthern Europe | 0.16 |
| 117 | ISLNorthern Europe | 0.15 |
| =118 | GMBWestern Africa | 0.14 |
| =118 | OMNWestern Asia | 0.14 |
| =118 | PRYSouth America | 0.14 |
| =121 | BWASouthern Africa | 0.12 |
| =121 | GHAWestern Africa | 0.12 |
| =121 | SAUWestern Asia | 0.12 |
| 124 | STPMiddle Africa | 0.11 |
| =125 | KIRMicronesia | 0.10 |
| =125 | PERSouth America | 0.10 |
| =125 | URYSouth America | 0.10 |
| =125 | ZMBEastern Africa | 0.10 |
| 129 | GUYSouth America | 0.09 |
| =130 | NICCentral America | 0.08 |
| =130 | YEMWestern Asia | 0.08 |
| =132 | ALBSouthern Europe | 0.07 |
| =132 | BLZCentral America | 0.07 |
| =134 | KWTWestern Asia | 0.06 |
| =134 | KGZCentral Asia | 0.06 |
| =134 | MDGEastern Africa | 0.06 |
| =134 | SYCEastern Africa | 0.06 |
| =134 | ZWEEastern Africa | 0.06 |
| =139 | ECUSouth America | 0.05 |
| =139 | GABMiddle Africa | 0.05 |
| =139 | SURSouth America | 0.05 |
| =142 | BFAWestern Africa | 0.04 |
| =142 | IRNSouthern Asia | 0.04 |
| =142 | TTOCaribbean | 0.04 |
| =145 | CMRMiddle Africa | 0.03 |
| =145 | SWZSouthern Africa | 0.03 |
| =145 | GINWestern Africa | 0.03 |
| =145 | MOZEastern Africa | 0.03 |
| 149 | BOLSouth America | 0.02 |
| =150 | AZEWestern Asia | 0.01 |
| =150 | GRLNorthern America | 0.01 |
| =150 | MNGEastern Asia | 0.01 |
| =150 | MMRSouth-eastern Asia | 0.01 |
| =150 | NPLSouthern Asia | 0.01 |
| =150 | COGMiddle Africa | 0.01 |
| =150 | SLEWestern Africa | 0.01 |
| =150 | SDNNorthern Africa | 0.01 |
| =158 | DZANorthern Africa | 0.00 |
| =158 | NGAWestern Africa | 0.00 |
| =158 | QATWestern Asia | 0.00 |
| =158 | SLBMelanesia | 0.00 |
02In 2014
At either end
The 5 countries at each end of the headline.
Highest
- 1
Hong Kong44.88
- 2
Philippines31.22
- 3
Saint Kitts and Nevis30.82
- 4
Singapore28.96
- 5
Malaysia27.15
Lowest
- 158
Solomon Islandsshared0.00
- 158
Qatarshared0.00
- 158
Nigeriashared0.00
- 158
Algeriashared0.00
- 150
Sierra Leoneshared0.01
A higher value is the better result. The middle country reads 0.76. “Shared” marks a value another country also holds.
032013 → 2014
Since 2013
What changed between 2013 and this one: who joined or left, and how far the headline moved.
- +5 / −6countries joined / left
- 149values changed, of 156 in both
- 86 · 63rose · fell
- 7unchanged
Rose most
Mauritius2.84 → 11.76+8.92
Philippines23.58 → 31.22+7.64
Laos0.28 → 6.91+6.63
Hong Kong40.97 → 44.88+3.91
Bermuda9.60 → 12.59+2.99
Fell most
Malta14.63 → 8.81−5.82
Costa Rica21.86 → 16.42−5.44
Saint Kitts and Nevis34.99 → 30.82−4.17
Hungary14.61 → 11.88−2.73
Antigua and Barbuda4.88 → 2.23−2.65
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 2014.
116 distinct values among 161
Values are stored exactly as published, to 2 decimals. 8 countries share 0.01. 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 161 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
161 rows · 4.3 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download ict-goods-exports-2014-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) (2014). ICT Goods Exports, 2014 [data set], describing 2014. As held by Nations Inquiry, https://nationsinquiry.com/datasets/ict-goods-exports/2014
0625 held
Other years
‹ The year before
ICT Goods Exports, 2013162 countries
The year after ›
ICT Goods Exports, 2015165 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, 2014: questions and answers
Which country has the highest ICT goods exports in ICT Goods Exports, 2014?
Hong Kong, at 44.88, of the 161 countries in the file.
What year does ICT Goods Exports, 2014 describe?
2014.
How many countries does ICT Goods Exports, 2014 cover?
161.
Where can I download ICT Goods Exports, 2014?
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, 2014 the newest?
No. The newest held here is ICT Goods Exports, 2024.