Data for 2016
ICT Goods Exports, 2016
2016, as UNCTAD’s 2026 release gives it · stored as published, never rewritten
ICT Goods Exports, 2016 covers 168 countries. Hong Kong is highest, at 49.42; 3 countries share the lowest reading, 0.00. The middle country reads 0.87. Against 2015, 152 values changed (87 up, 65 down), 6 countries joined, 3 left.
ICT Goods Exports · Data for 2016
HighestHong Kong
49.42Lowest3 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, 2016, 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 168 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | HKGEastern Asia | 49.42 |
| 2 | PHLSouth-eastern Asia | 39.77 |
| 3 | SGPSouth-eastern Asia | 31.87 |
| 4 | KNACaribbean | 31.06 |
| 5 | VNMSouth-eastern Asia | 30.31 |
| 6 | MYSSouth-eastern Asia | 28.12 |
| 7 | CHNEastern Asia | 25.67 |
| 8 | ANDSouthern Europe | 24.21 |
| 9 | KOREastern Asia | 21.39 |
| 10 | SVKEastern Europe | 16.51 |
| 11 | MEXCentral America | 15.76 |
| 12 | THASouth-eastern Asia | 15.30 |
| 13 | CZEEastern Europe | 12.62 |
| 14 | ESTNorthern Europe | 12.51 |
| 15 | ISRWestern Asia | 11.68 |
| 16 | HUNEastern Europe | 11.35 |
| 17 | LCACaribbean | 10.92 |
| 18 | NLDWestern Europe | 10.57 |
| 19 | LVANorthern Europe | 10.43 |
| 20 | LAOSouth-eastern Asia | 9.97 |
| 21 | USANorthern America | 9.41 |
| 22 | IRLNorthern Europe | 8.87 |
| 23 | MLTSouthern Europe | 8.76 |
| 24 | PANCentral America | 8.59 |
| 25 | JPNEastern Asia | 7.68 |
| 26 | STPMiddle Africa | 7.09 |
| 27 | POLEastern Europe | 7.07 |
| 28 | SWENorthern Europe | 6.74 |
| 29 | TUNNorthern Africa | 6.32 |
| 30 | MUSEastern Africa | 5.43 |
| 31 | GRDCaribbean | 5.15 |
| 32 | CYPWestern Asia | 4.80 |
| 33 | DEUWestern Europe | 4.49 |
| 34 | GBRNorthern Europe | 4.45 |
| 35 | ZMBEastern Africa | 3.90 |
| 36 | FRAWestern Europe | 3.89 |
| 37 | LTUNorthern Europe | 3.77 |
| 38 | AUTWestern Europe | 3.68 |
| 39 | DNKNorthern Europe | 3.63 |
| 40 | GRCSouthern Europe | 3.48 |
| 41 | ROUEastern Europe | 3.37 |
| 42 | IDNSouth-eastern Asia | 3.30 |
| 43 | PRTSouthern Europe | 3.29 |
| 44 | FJIMelanesia | 3.27 |
| 45 | JORWestern Asia | 3.15 |
| 46 | PLWMicronesia | 3.02 |
| 47 | MACEastern Asia | 2.85 |
| 48 | BGREastern Europe | 2.84 |
| 49 | EGYNorthern Africa | 2.82 |
| 50 | FINNorthern Europe | 2.67 |
| 51 | HRVSouthern Europe | 2.44 |
| 52 | MARNorthern Africa | 2.24 |
| 53 | BHRWestern Asia | 2.17 |
| =54 | LUXWestern Europe | 2.08 |
| =54 | AREWestern Asia | 2.08 |
| 56 | CANNorthern America | 2.04 |
| 57 | BELWestern Europe | 2.00 |
| 58 | BMUNorthern America | 1.95 |
| 59 | KHMSouth-eastern Asia | 1.90 |
| 60 | VCTCaribbean | 1.78 |
| 61 | ITASouthern Europe | 1.77 |
| 62 | LSOSouthern Africa | 1.73 |
| 63 | MMRSouth-eastern Asia | 1.64 |
| 64 | SVNSouthern Europe | 1.62 |
| 65 | BRBCaribbean | 1.53 |
| 66 | KENEastern Africa | 1.50 |
| 67 | TURWestern Asia | 1.41 |
| 68 | ESPSouthern Europe | 1.34 |
| 69 | AUSAustralia and New Zealand | 1.30 |
| =70 | DMACaribbean | 1.26 |
| =70 | ETHEastern Africa | 1.26 |
| 72 | ZAFSouthern Africa | 1.23 |
| 73 | SRBSouthern Europe | 1.18 |
| 74 | NORNorthern Europe | 1.11 |
| 75 | DOMCaribbean | 1.10 |
| 76 | PYFPolynesia | 1.04 |
| =77 | NZLAustralia and New Zealand | 1.03 |
| =77 | CHEWestern Europe | 1.03 |
| =79 | BHSCaribbean | 1.01 |
| =79 | MKDSouthern Europe | 1.01 |
| =81 | ABWCaribbean | 0.99 |
| =81 | UGAEastern Africa | 0.99 |
| 83 | UKREastern Europe | 0.92 |
| 84 | INDSouthern Asia | 0.90 |
| 85 | LBNWestern Asia | 0.83 |
| =86 | ATGCaribbean | 0.80 |
| =86 | BRNSouth-eastern Asia | 0.80 |
| 88 | MNESouthern Europe | 0.75 |
| 89 | CRICentral America | 0.65 |
| 90 | BLREastern Europe | 0.61 |
| 91 | BDIEastern Africa | 0.59 |
| 92 | RUSEastern Europe | 0.58 |
| 93 | RWAEastern Africa | 0.55 |
| 94 | JAMCaribbean | 0.54 |
| 95 | SENWestern Africa | 0.52 |
| 96 | HNDCentral America | 0.51 |
| 97 | CHLSouth America | 0.50 |
| 98 | GEOWestern Asia | 0.45 |
| 99 | TGOWestern Africa | 0.41 |
| 100 | BRASouth America | 0.40 |
| =101 | PSEWestern Asia | 0.39 |
| =101 | LKASouthern Asia | 0.39 |
| =103 | KGZCentral Asia | 0.37 |
| =103 | MWIEastern Africa | 0.37 |
| 105 | CUBCaribbean | 0.35 |
| =106 | SLVCentral America | 0.30 |
| =106 | PAKSouthern Asia | 0.30 |
| =108 | COLSouth America | 0.28 |
| =108 | MDAEastern Europe | 0.28 |
| 110 | ALBSouthern Europe | 0.27 |
| 111 | NERWestern Africa | 0.26 |
| 112 | GTMCentral America | 0.23 |
| =113 | GMBWestern Africa | 0.22 |
| =113 | SAUWestern Asia | 0.22 |
| 115 | TZAEastern Africa | 0.21 |
| =116 | ARMWestern Asia | 0.18 |
| =116 | BLZCentral America | 0.18 |
| =116 | TJKCentral Asia | 0.18 |
| =119 | BIHSouthern Europe | 0.17 |
| =119 | GUYSouth America | 0.17 |
| 121 | NAMSouthern Africa | 0.16 |
| =122 | ISLNorthern Europe | 0.15 |
| =122 | KAZCentral Asia | 0.15 |
| =124 | KWTWestern Asia | 0.14 |
| =124 | MDGEastern Africa | 0.14 |
| 126 | WSMPolynesia | 0.13 |
| 127 | MOZEastern Africa | 0.12 |
| =128 | BWASouthern Africa | 0.11 |
| =128 | CIVWestern Africa | 0.11 |
| =128 | URYSouth America | 0.11 |
| =131 | ECUSouth America | 0.10 |
| =131 | KIRMicronesia | 0.10 |
| =131 | PERSouth America | 0.10 |
| =134 | ARGSouth America | 0.09 |
| =134 | MNGEastern Asia | 0.09 |
| =134 | SYCEastern Africa | 0.09 |
| =134 | TTOCaribbean | 0.09 |
| =138 | GHAWestern Africa | 0.08 |
| =138 | SLEWestern Africa | 0.08 |
| =138 | SURSouth America | 0.08 |
| =138 | ZWEEastern Africa | 0.08 |
| =142 | BENWestern Africa | 0.07 |
| =142 | BOLSouth America | 0.07 |
| =142 | MLIWestern Africa | 0.07 |
| =142 | NICCentral America | 0.07 |
| =142 | PRYSouth America | 0.07 |
| =147 | COMEastern Africa | 0.06 |
| =147 | SWZSouthern Africa | 0.06 |
| =147 | GABMiddle Africa | 0.06 |
| 150 | CAFMiddle Africa | 0.05 |
| =151 | BGDSouthern Asia | 0.04 |
| =151 | CODMiddle Africa | 0.04 |
| =151 | NPLSouthern Asia | 0.04 |
| =154 | AGOMiddle Africa | 0.03 |
| =154 | CMRMiddle Africa | 0.03 |
| =154 | COGMiddle Africa | 0.03 |
| =157 | DZANorthern Africa | 0.02 |
| =157 | AZEWestern Asia | 0.02 |
| =157 | BFAWestern Africa | 0.02 |
| =157 | OMNWestern Asia | 0.02 |
| =161 | GRLNorthern America | 0.01 |
| =161 | GINWestern Africa | 0.01 |
| =161 | IRNSouthern Asia | 0.01 |
| =161 | SLBMelanesia | 0.01 |
| =161 | SDNNorthern Africa | 0.01 |
| =166 | LBYNorthern Africa | 0.00 |
| =166 | MDVSouthern Asia | 0.00 |
| =166 | QATWestern Asia | 0.00 |
02In 2016
At either end
The 5 countries at each end of the headline.
Highest
- 1
Hong Kong49.42
- 2
Philippines39.77
- 3
Singapore31.87
- 4
Saint Kitts and Nevis31.06
- 5
Vietnam30.31
Lowest
- 166
Qatarshared0.00
- 166
Maldivesshared0.00
- 166
Libyashared0.00
- 161
Solomon Islandsshared0.01
- 161
Sudanshared0.01
A higher value is the better result. The middle country reads 0.87. “Shared” marks a value another country also holds.
032015 → 2016
Since 2015
What changed between 2015 and this one: who joined or left, and how far the headline moved.
- +6 / −3countries joined / left
- 152values changed, of 162 in both
- 87 · 65rose · fell
- 10unchanged
Rose most
Saint Kitts and Nevis24.33 → 31.06+6.73
São Tomé and Príncipe2.45 → 7.09+4.64
Zambia0.49 → 3.90+3.41
Ireland5.97 → 8.87+2.90
Grenada2.31 → 5.15+2.84
Fell most
Antigua and Barbuda11.78 → 0.80−10.98
Mauritius12.79 → 5.43−7.36
Tanzania6.07 → 0.21−5.86
Macau6.42 → 2.85−3.57
Bermuda5.20 → 1.95−3.25
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 2016.
123 distinct values among 168
Values are stored exactly as published, to 2 decimals. 5 countries share 0.07. 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 168 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
168 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-2016-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) (2016). ICT Goods Exports, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/ict-goods-exports/2016
0625 held
Other years
‹ The year before
ICT Goods Exports, 2015165 countries
The year after ›
ICT Goods Exports, 2017171 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, 2016: questions and answers
Which country has the highest ICT goods exports in ICT Goods Exports, 2016?
Hong Kong, at 49.42, of the 168 countries in the file.
What year does ICT Goods Exports, 2016 describe?
2016.
How many countries does ICT Goods Exports, 2016 cover?
168.
Where can I download ICT Goods Exports, 2016?
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, 2016 the newest?
No. The newest held here is ICT Goods Exports, 2024.