Data for 2018
Open Data Inventory, 2018
Figures for 2018, as Open Data Watch published them · stored as published, never rewritten
Open Data Inventory, 2018 covers 164 countries on 3 measures. Denmark is highest, at 86; Turkmenistan is lowest, at 2. The middle country reads 44. Against 2017, 145 values changed (126 up, 19 down), 1 left.
Open Data Inventory · Data for 2018
HighestDenmark
86LowestTurkmenistan
2Shaded by value in five groups of equal size, darkest at the better end.
01Open Data Watch’s rank
The table
Every country and every column of Open Data Inventory, 2018, as published. The rank is Open Data Watch’s own, as printed. “=” marks a shared position.
Showing 25 of 164 countries · select a heading to sort
| 1 | DNKNorthern Europe | 86 | 74 | 96 |
| 2 | NLDWestern Europe | 84 | 71 | 96 |
| 3 | POLEastern Europe | 82 | 79 | 85 |
| =4 | FINNorthern Europe | 80 | 74 | 85 |
| =4 | SVNSouthern Europe | 80 | 67 | 91 |
| =6 | CANNorthern America | 79 | 78 | 80 |
| =6 | DEUWestern Europe | 79 | 67 | 89 |
| =8 | NORNorthern Europe | 78 | 79 | 77 |
| =8 | SWENorthern Europe | 78 | 71 | 85 |
| 10 | MNGEastern Asia | 77 | 63 | 90 |
| 11 | SVKEastern Europe | 76 | 66 | 85 |
| 12 | USANorthern America | 74 | 64 | 82 |
| =13 | IRLNorthern Europe | 72 | 58 | 84 |
| =13 | LTUNorthern Europe | 72 | 68 | 76 |
| 15 | ESTNorthern Europe | 71 | 59 | 82 |
| =16 | CZEEastern Europe | 70 | 69 | 70 |
| =16 | MDAEastern Europe | 70 | 56 | 83 |
| =16 | KOREastern Asia | 70 | 59 | 80 |
| =19 | MEXCentral America | 69 | 58 | 79 |
| =19 | ESPSouthern Europe | 69 | 66 | 73 |
| =21 | AUSAustralia and New Zealand | 68 | 57 | 78 |
| =21 | AUTWestern Europe | 68 | 61 | 74 |
| =23 | BGREastern Europe | 66 | 62 | 70 |
| =23 | OMNWestern Asia | 66 | 46 | 83 |
| =25 | CYPWestern Asia | 65 | 52 | 77 |
| =25 | ITASouthern Europe | 65 | 52 | 76 |
| =25 | NZLAustralia and New Zealand | 65 | 54 | 75 |
| =25 | PRTSouthern Europe | 65 | 56 | 72 |
| 29 | FRAWestern Europe | 64 | 55 | 72 |
| 30 | JPNEastern Asia | 63 | 58 | 68 |
| =31 | LVANorthern Europe | 62 | 56 | 68 |
| =31 | CHEWestern Europe | 62 | 61 | 63 |
| 33 | MKDSouthern Europe | 61 | 58 | 64 |
| 34 | JAMCaribbean | 60 | 47 | 71 |
| 35 | ROUEastern Europe | 59 | 59 | 59 |
| =36 | GEOWestern Asia | 58 | 57 | 59 |
| =36 | GRCSouthern Europe | 58 | 52 | 63 |
| =36 | MUSEastern Africa | 58 | 57 | 59 |
| =36 | MARNorthern Africa | 58 | 49 | 65 |
| =36 | PHLSouth-eastern Asia | 58 | 50 | 65 |
| =36 | RWAEastern Africa | 58 | 48 | 67 |
| =42 | HUNEastern Europe | 57 | 53 | 61 |
| =42 | LUXWestern Europe | 57 | 41 | 71 |
| =42 | PERSouth America | 57 | 57 | 57 |
| =42 | RUSEastern Europe | 57 | 63 | 51 |
| =46 | ALBSouthern Europe | 56 | 53 | 59 |
| =46 | ECUSouth America | 56 | 48 | 63 |
| =46 | IDNSouth-eastern Asia | 56 | 49 | 62 |
| =46 | PSEWestern Asia | 56 | 52 | 60 |
| =46 | GBRNorthern Europe | 56 | 50 | 60 |
| =51 | INDSouthern Asia | 55 | 44 | 64 |
| =51 | TWNEastern Asia | 55 | 49 | 60 |
| =53 | BRASouth America | 54 | 59 | 50 |
| =53 | CRICentral America | 54 | 47 | 59 |
| =53 | ISLNorthern Europe | 54 | 43 | 63 |
| =53 | ISRWestern Asia | 54 | 51 | 57 |
| =57 | ARMWestern Asia | 53 | 50 | 55 |
| =57 | KAZCentral Asia | 53 | 60 | 46 |
| =59 | COLSouth America | 52 | 54 | 50 |
| =59 | HRVSouthern Europe | 52 | 52 | 52 |
| =59 | TUNNorthern Africa | 52 | 46 | 57 |
| =62 | AZEWestern Asia | 51 | 60 | 44 |
| =62 | BLREastern Europe | 51 | 66 | 38 |
| =62 | ZAFSouthern Africa | 51 | 45 | 57 |
| =62 | AREWestern Asia | 51 | 39 | 61 |
| =66 | XKXSouthern Europe | 50 | 52 | 48 |
| =66 | KWTWestern Asia | 50 | 52 | 49 |
| =66 | KGZCentral Asia | 50 | 56 | 44 |
| =66 | MYSSouth-eastern Asia | 50 | 48 | 52 |
| =70 | BELWestern Europe | 49 | 46 | 52 |
| =70 | BOLSouth America | 49 | 41 | 56 |
| =70 | TURWestern Asia | 49 | 45 | 52 |
| =70 | URYSouth America | 49 | 46 | 52 |
| =74 | SRBSouthern Europe | 48 | 44 | 52 |
| =74 | LKASouthern Asia | 48 | 54 | 43 |
| =76 | DOMCaribbean | 47 | 47 | 47 |
| =76 | JORWestern Asia | 47 | 51 | 43 |
| =76 | MMRSouth-eastern Asia | 47 | 43 | 51 |
| 79 | BWASouthern Africa | 46 | 41 | 50 |
| 80 | MNESouthern Europe | 45 | 46 | 43 |
| =81 | CHNEastern Asia | 44 | 50 | 39 |
| =81 | SENWestern Africa | 44 | 44 | 43 |
| =81 | SLEWestern Africa | 44 | 42 | 46 |
| 84 | PRYSouth America | 43 | 47 | 39 |
| =85 | NGAWestern Africa | 42 | 47 | 37 |
| =85 | TJKCentral Asia | 42 | 41 | 44 |
| =85 | UGAEastern Africa | 42 | 41 | 43 |
| =85 | UKREastern Europe | 42 | 47 | 38 |
| =89 | GHAWestern Africa | 41 | 48 | 34 |
| =89 | PAKSouthern Asia | 41 | 50 | 33 |
| =89 | QATWestern Asia | 41 | 48 | 36 |
| =92 | ARGSouth America | 40 | 42 | 38 |
| =92 | HNDCentral America | 40 | 43 | 37 |
| =92 | PANCentral America | 40 | 43 | 38 |
| =95 | BGDSouthern Asia | 39 | 45 | 35 |
| =95 | BLZCentral America | 39 | 41 | 37 |
| =95 | BDIEastern Africa | 39 | 43 | 35 |
| =95 | EGYNorthern Africa | 39 | 49 | 30 |
| =95 | MLIWestern Africa | 39 | 39 | 39 |
| =95 | NICCentral America | 39 | 50 | 30 |
| =95 | WSMPolynesia | 39 | 38 | 41 |
| =95 | VNMSouth-eastern Asia | 39 | 36 | 42 |
| =103 | GINWestern Africa | 38 | 41 | 34 |
| =103 | IRNSouthern Asia | 38 | 47 | 29 |
| =103 | KENEastern Africa | 38 | 46 | 31 |
| =103 | MRTWestern Africa | 38 | 39 | 37 |
| =107 | BTNSouthern Asia | 37 | 48 | 28 |
| =107 | CUBCaribbean | 37 | 44 | 31 |
| =107 | LBRWestern Africa | 37 | 38 | 37 |
| =107 | NPLSouthern Asia | 37 | 41 | 34 |
| =107 | NERWestern Africa | 37 | 39 | 36 |
| =112 | CMRMiddle Africa | 36 | 37 | 35 |
| =112 | CHLSouth America | 36 | 42 | 31 |
| =112 | GTMCentral America | 36 | 36 | 36 |
| =112 | NAMSouthern Africa | 36 | 33 | 39 |
| =112 | SURSouth America | 36 | 34 | 37 |
| =112 | THASouth-eastern Asia | 36 | 43 | 29 |
| =118 | BIHSouthern Europe | 35 | 38 | 32 |
| =118 | SAUWestern Asia | 35 | 39 | 32 |
| =120 | GMBWestern Africa | 34 | 31 | 36 |
| =120 | LBNWestern Asia | 34 | 30 | 38 |
| =120 | LSOSouthern Africa | 34 | 28 | 40 |
| =120 | TZAEastern Africa | 34 | 35 | 32 |
| =124 | BHSCaribbean | 33 | 35 | 32 |
| =124 | MWIEastern Africa | 33 | 33 | 34 |
| =124 | ZWEEastern Africa | 33 | 36 | 30 |
| =127 | AFGSouthern Asia | 32 | 34 | 30 |
| =127 | DZANorthern Africa | 32 | 34 | 30 |
| =129 | BFAWestern Africa | 31 | 33 | 29 |
| =129 | CODMiddle Africa | 31 | 34 | 29 |
| =129 | SLBMelanesia | 31 | 31 | 31 |
| 132 | VENSouth America | 30 | 30 | 30 |
| =133 | DJIEastern Africa | 29 | 26 | 31 |
| =133 | ETHEastern Africa | 29 | 28 | 30 |
| =133 | FJIMelanesia | 29 | 29 | 29 |
| =133 | MOZEastern Africa | 29 | 36 | 23 |
| =137 | COGMiddle Africa | 28 | 21 | 34 |
| =137 | TGOWestern Africa | 28 | 26 | 30 |
| =137 | TTOCaribbean | 28 | 23 | 32 |
| =140 | CPVWestern Africa | 27 | 26 | 28 |
| =140 | GNBWestern Africa | 27 | 21 | 32 |
| =140 | TLSSouth-eastern Asia | 27 | 30 | 25 |
| =140 | VUTMelanesia | 27 | 27 | 27 |
| =144 | KHMSouth-eastern Asia | 26 | 24 | 28 |
| =144 | CIVWestern Africa | 26 | 21 | 30 |
| =144 | IRQWestern Asia | 26 | 26 | 25 |
| =144 | ZMBEastern Africa | 26 | 28 | 23 |
| 148 | SYRWestern Asia | 25 | 26 | 25 |
| =149 | GUYSouth America | 24 | 26 | 22 |
| =149 | SDNNorthern Africa | 24 | 24 | 24 |
| 151 | LAOSouth-eastern Asia | 23 | 27 | 20 |
| 152 | BENWestern Africa | 22 | 18 | 25 |
| 153 | SSDEastern Africa | 21 | 16 | 25 |
| 154 | MDGEastern Africa | 20 | 22 | 19 |
| =155 | AGOMiddle Africa | 19 | 16 | 22 |
| =155 | SLVCentral America | 19 | 20 | 19 |
| =155 | UZBCentral Asia | 19 | 21 | 18 |
| =158 | SWZSouthern Africa | 16 | 14 | 17 |
| =158 | GABMiddle Africa | 16 | 10 | 21 |
| =158 | PNGMelanesia | 16 | 16 | 16 |
| 161 | LBYNorthern Africa | 15 | 19 | 12 |
| 162 | HTICaribbean | 11 | 13 | 9 |
| 163 | SOMEastern Africa | 7 | 5 | 8 |
| 164 | TKMCentral Asia | 2 | 1 | 2 |
02In 2018
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- #1
Denmark86
- #2
Netherlands84
- #3
Poland82
- #4
Finlandshared80
- #4
Sloveniashared80
Lowest
- #164
Turkmenistan2
- #163
Somalia7
- #162
Haiti11
- #161
Libya15
- #158
Eswatinishared16
A higher value is the better result. The middle country reads 44. “Shared” marks a value another country also holds.
Each measure’s ends
Coverage subscore
Highest2 share it
Lowest
Turkmenistan1
Middle country: 46
Openness subscore
Highest2 share it
Lowest
Turkmenistan2
Middle country: 43
032017 → 2018
Since 2017
What changed between 2017 and this one: who joined or left, and how far the headline moved.
- +0 / −1countries joined / left
- 145values changed, of 164 in both
- 126 · 19rose · fell
- 19unchanged
Fell most
El Salvador35 → 19−16
Turkmenistan16 → 2−14
Bulgaria73 → 66−7
Indonesia60 → 56−4
Latvia66 → 62−4
Changes in value, not in places: a country’s place also moves when others do. 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.
67 distinct values among 164
Values are stored exactly as published. 8 countries share 39. Countries sharing a value share a position too.
The rank is Open Data Watch’s
Printed as the publisher ranked the countries; never re-ranked here.
Nothing missing
Every one of the 164 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
164 rows · 5.4 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download open-data-inventory-2018-nations-inquiry.csv - ↗
The publisher’s original
Open Data Watch’s own file, on its own site.
5
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 4.0 · what it allows, in plain words
Cite this edition
Open Data Watch (2018). Open Data Inventory, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/open-data-inventory/2018
067 held
Other years
‹ The year before
Open Data Inventory, 2017165 countries
The year after ›
Open Data Inventory, 2020166 countries
All of them
Open Data Inventory: every year7 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Open Data Inventory, 2018: questions and answers
Which country has the highest Open Data Inventory in Open Data Inventory, 2018?
Denmark, at 86, of the 164 countries in the file.
What year does Open Data Inventory, 2018 describe?
2018.
How many countries does Open Data Inventory, 2018 cover?
164.
Where can I download Open Data Inventory, 2018?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Open Data Inventory, 2018 the newest?
No. The newest held here is Open Data Inventory, 2024.