Data for 2017
Open Data Inventory, 2017
Figures for 2017, as Open Data Watch published them · stored as published, never rewritten
Open Data Inventory, 2017 covers 165 countries on 3 measures. Denmark is highest, at 81; Chad is lowest, at 3. The middle country reads 38. Against 2016, 139 values changed (65 up, 74 down), 5 countries joined, 1 left.
Open Data Inventory · Data for 2017
HighestDenmark
81LowestChad
3Shaded 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, 2017, as published. The rank is Open Data Watch’s own, as printed. “=” marks a shared position.
Showing 25 of 165 countries · select a heading to sort
| 1 | DNKNorthern Europe | 81 | 65 | 95 |
| =2 | NLDWestern Europe | 78 | 56 | 98 |
| =2 | SWENorthern Europe | 78 | 68 | 87 |
| 4 | POLEastern Europe | 76 | 71 | 80 |
| =5 | CANNorthern America | 75 | 63 | 86 |
| =5 | FINNorthern Europe | 75 | 61 | 88 |
| 7 | NORNorthern Europe | 74 | 71 | 77 |
| 8 | BGREastern Europe | 73 | 63 | 83 |
| 9 | MEXCentral America | 71 | 56 | 85 |
| 10 | SVNSouthern Europe | 70 | 55 | 83 |
| =11 | ESTNorthern Europe | 69 | 60 | 77 |
| =11 | SVKEastern Europe | 69 | 58 | 79 |
| =11 | USANorthern America | 69 | 66 | 72 |
| =14 | AUSAustralia and New Zealand | 68 | 51 | 84 |
| =14 | CZEEastern Europe | 68 | 64 | 71 |
| =14 | MDAEastern Europe | 68 | 55 | 80 |
| =17 | LVANorthern Europe | 66 | 52 | 79 |
| =17 | LTUNorthern Europe | 66 | 61 | 70 |
| =17 | KOREastern Asia | 66 | 54 | 78 |
| 20 | PRTSouthern Europe | 64 | 55 | 72 |
| =21 | ITASouthern Europe | 63 | 57 | 68 |
| =21 | MNGEastern Asia | 63 | 53 | 71 |
| =21 | NZLAustralia and New Zealand | 63 | 50 | 76 |
| =24 | DEUWestern Europe | 61 | 48 | 73 |
| =24 | IRLNorthern Europe | 61 | 47 | 74 |
| 26 | IDNSouth-eastern Asia | 60 | 61 | 59 |
| =27 | PHLSouth-eastern Asia | 59 | 46 | 70 |
| =27 | ESPSouthern Europe | 59 | 54 | 63 |
| =29 | FRAWestern Europe | 58 | 47 | 68 |
| =29 | MUSEastern Africa | 58 | 54 | 62 |
| =29 | MKDSouthern Europe | 58 | 53 | 62 |
| =32 | AUTWestern Europe | 57 | 52 | 61 |
| =32 | ISLNorthern Europe | 57 | 45 | 68 |
| =32 | JPNEastern Asia | 57 | 56 | 57 |
| =35 | GEOWestern Asia | 56 | 54 | 57 |
| =35 | PERSouth America | 56 | 53 | 60 |
| =37 | ALBSouthern Europe | 55 | 51 | 58 |
| =37 | ECUSouth America | 55 | 48 | 62 |
| =37 | HUNEastern Europe | 55 | 54 | 56 |
| =40 | ARMWestern Asia | 54 | 52 | 56 |
| =40 | COLSouth America | 54 | 55 | 53 |
| =40 | RWAEastern Africa | 54 | 44 | 63 |
| =40 | GBRNorthern Europe | 54 | 47 | 60 |
| =44 | CRICentral America | 53 | 44 | 60 |
| =44 | INDSouthern Asia | 53 | 47 | 59 |
| =46 | KAZCentral Asia | 52 | 63 | 43 |
| =46 | CHEWestern Europe | 52 | 46 | 58 |
| =48 | AZEWestern Asia | 51 | 59 | 43 |
| =48 | CYPWestern Asia | 51 | 45 | 56 |
| =48 | OMNWestern Asia | 51 | 37 | 64 |
| =48 | TURWestern Asia | 51 | 43 | 58 |
| =48 | AREWestern Asia | 51 | 37 | 65 |
| =53 | BLREastern Europe | 50 | 60 | 40 |
| =53 | RUSEastern Europe | 50 | 57 | 43 |
| =55 | BELWestern Europe | 49 | 45 | 53 |
| =55 | KWTWestern Asia | 49 | 46 | 51 |
| =57 | GRCSouthern Europe | 48 | 41 | 55 |
| =57 | KGZCentral Asia | 48 | 53 | 44 |
| =59 | ISRWestern Asia | 47 | 41 | 53 |
| =59 | LUXWestern Europe | 47 | 34 | 59 |
| 61 | URYSouth America | 46 | 41 | 51 |
| =62 | DOMCaribbean | 45 | 44 | 47 |
| =62 | JAMCaribbean | 45 | 31 | 57 |
| =62 | MYSSouth-eastern Asia | 45 | 40 | 49 |
| =62 | ZAFSouthern Africa | 45 | 38 | 51 |
| =66 | XKXSouthern Europe | 44 | 44 | 44 |
| =66 | LKASouthern Asia | 44 | 46 | 42 |
| =68 | BWASouthern Africa | 43 | 37 | 49 |
| =68 | HRVSouthern Europe | 43 | 43 | 43 |
| =68 | PSEWestern Asia | 43 | 46 | 41 |
| =71 | BOLSouth America | 42 | 33 | 50 |
| =71 | CHNEastern Asia | 42 | 44 | 40 |
| =71 | UGAEastern Africa | 42 | 38 | 45 |
| =71 | UKREastern Europe | 42 | 47 | 37 |
| =75 | TWNEastern Asia | 41 | 35 | 46 |
| =75 | TJKCentral Asia | 41 | 36 | 46 |
| =77 | BRASouth America | 40 | 41 | 38 |
| =77 | MMRSouth-eastern Asia | 40 | 32 | 46 |
| =77 | SENWestern Africa | 40 | 38 | 42 |
| =80 | BTNSouthern Asia | 39 | 46 | 33 |
| =80 | EGYNorthern Africa | 39 | 47 | 32 |
| =82 | ARGSouth America | 38 | 38 | 37 |
| =82 | JORWestern Asia | 38 | 37 | 39 |
| =82 | MNESouthern Europe | 38 | 40 | 36 |
| =82 | NGAWestern Africa | 38 | 43 | 33 |
| =82 | PANCentral America | 38 | 39 | 36 |
| =82 | QATWestern Asia | 38 | 40 | 36 |
| =88 | BGDSouthern Asia | 37 | 39 | 36 |
| =88 | GINWestern Africa | 37 | 37 | 36 |
| =88 | KENEastern Africa | 37 | 41 | 32 |
| =88 | LBRWestern Africa | 37 | 35 | 38 |
| =88 | WSMPolynesia | 37 | 35 | 40 |
| =88 | SRBSouthern Europe | 37 | 36 | 39 |
| =88 | TUNNorthern Africa | 37 | 37 | 37 |
| =95 | CMRMiddle Africa | 36 | 36 | 35 |
| =95 | MLIWestern Africa | 36 | 35 | 38 |
| =95 | PRYSouth America | 36 | 41 | 31 |
| =95 | VNMSouth-eastern Asia | 36 | 31 | 41 |
| =99 | BLZCentral America | 35 | 34 | 35 |
| =99 | BIHSouthern Europe | 35 | 37 | 33 |
| =99 | CUBCaribbean | 35 | 41 | 30 |
| =99 | SLVCentral America | 35 | 34 | 36 |
| =99 | GHAWestern Africa | 35 | 37 | 32 |
| =99 | HNDCentral America | 35 | 34 | 35 |
| =99 | IRNSouthern Asia | 35 | 40 | 30 |
| =99 | NERWestern Africa | 35 | 37 | 33 |
| =99 | ROUEastern Europe | 35 | 35 | 36 |
| =99 | SURSouth America | 35 | 34 | 35 |
| =109 | MRTWestern Africa | 34 | 33 | 35 |
| =109 | NPLSouthern Asia | 34 | 35 | 32 |
| =109 | PAKSouthern Asia | 34 | 40 | 28 |
| =112 | LBNWestern Asia | 33 | 32 | 35 |
| =112 | MWIEastern Africa | 33 | 29 | 36 |
| =112 | SLEWestern Africa | 33 | 33 | 33 |
| =112 | TZAEastern Africa | 33 | 36 | 31 |
| =112 | THASouth-eastern Asia | 33 | 39 | 28 |
| =117 | BDIEastern Africa | 32 | 35 | 29 |
| =117 | LSOSouthern Africa | 32 | 24 | 40 |
| =117 | NICCentral America | 32 | 34 | 30 |
| =120 | DZANorthern Africa | 31 | 33 | 29 |
| =120 | GTMCentral America | 31 | 31 | 32 |
| =120 | VENSouth America | 31 | 32 | 30 |
| =123 | BFAWestern Africa | 30 | 31 | 28 |
| =123 | CHLSouth America | 30 | 36 | 24 |
| =123 | COGMiddle Africa | 30 | 26 | 33 |
| =123 | SAUWestern Asia | 30 | 31 | 29 |
| =127 | BHSCaribbean | 29 | 28 | 29 |
| =127 | FJIMelanesia | 29 | 27 | 31 |
| =127 | MARNorthern Africa | 29 | 33 | 25 |
| =127 | SLBMelanesia | 29 | 27 | 30 |
| =131 | ETHEastern Africa | 28 | 31 | 26 |
| =131 | GNBWestern Africa | 28 | 22 | 33 |
| =131 | MOZEastern Africa | 28 | 35 | 22 |
| =131 | TTOCaribbean | 28 | 20 | 36 |
| =131 | VUTMelanesia | 28 | 27 | 28 |
| =136 | GMBWestern Africa | 27 | 26 | 27 |
| =136 | ZWEEastern Africa | 27 | 28 | 26 |
| =138 | DJIEastern Africa | 26 | 23 | 29 |
| =138 | IRQWestern Asia | 26 | 28 | 25 |
| =138 | NAMSouthern Africa | 26 | 26 | 27 |
| =138 | TLSSouth-eastern Asia | 26 | 30 | 22 |
| =142 | KHMSouth-eastern Asia | 25 | 21 | 29 |
| =142 | TGOWestern Africa | 25 | 22 | 27 |
| 144 | CODMiddle Africa | 24 | 23 | 24 |
| =145 | CIVWestern Africa | 23 | 19 | 27 |
| =145 | GUYSouth America | 23 | 24 | 22 |
| =145 | LAOSouth-eastern Asia | 23 | 23 | 23 |
| =145 | ZMBEastern Africa | 23 | 27 | 20 |
| 149 | AFGSouthern Asia | 22 | 22 | 22 |
| =150 | AGOMiddle Africa | 21 | 18 | 23 |
| =150 | SSDEastern Africa | 21 | 15 | 25 |
| 152 | CPVWestern Africa | 20 | 19 | 21 |
| 153 | UZBCentral Asia | 18 | 18 | 18 |
| =154 | GABMiddle Africa | 17 | 13 | 21 |
| =154 | SYRWestern Asia | 17 | 17 | 17 |
| =156 | PNGMelanesia | 16 | 15 | 17 |
| =156 | TKMCentral Asia | 16 | 13 | 18 |
| =158 | BENWestern Africa | 15 | 14 | 17 |
| =158 | SDNNorthern Africa | 15 | 16 | 14 |
| 160 | LBYNorthern Africa | 14 | 20 | 8 |
| 161 | HTICaribbean | 13 | 14 | 12 |
| 162 | SWZSouthern Africa | 7 | 6 | 8 |
| =163 | MDGEastern Africa | 6 | 8 | 5 |
| =163 | SOMEastern Africa | 6 | 5 | 6 |
| 165 | TCDMiddle Africa | 3 | 2 | 5 |
02In 2017
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- #1
Denmark81
- #2
Netherlandsshared78
- #2
Swedenshared78
- #4
Poland76
- #5
Canadashared75
Lowest
- #165
Chad3
- #163
Somaliashared6
- #163
Madagascarshared6
- #162
Eswatini7
- #161
Haiti13
A higher value is the better result. The middle country reads 38. “Shared” marks a value another country also holds.
Each measure’s ends
Coverage subscore
Highest2 share it
Lowest
Chad2
Middle country: 38
Openness subscore
Highest
Netherlands98
Lowest2 share it
Middle country: 38
032016 → 2017
Since 2016
What changed between 2016 and this one: who joined or left, and how far the headline moved.
- +5 / −1countries joined / left
- 139values changed, of 160 in both
- 65 · 74rose · fell
- 21unchanged
Rose most
Costa Rica19 → 53+34
Jamaica19 → 45+26
Indonesia39 → 60+21
Peru37 → 56+19
Slovakia53 → 69+16
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.
64 distinct values among 165
Values are stored exactly as published. 10 countries share 35. 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 165 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
165 rows · 5.5 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download open-data-inventory-2017-nations-inquiry.csv - ↗
The publisher’s original
Open Data Watch’s own file, on its own site.
4
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 (2017). Open Data Inventory, 2017 [data set], describing 2017. As held by Nations Inquiry, https://nationsinquiry.com/datasets/open-data-inventory/2017
067 held
Other years
‹ The year before
Open Data Inventory, 2016161 countries
The year after ›
Open Data Inventory, 2018164 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, 2017: questions and answers
Which country has the highest Open Data Inventory in Open Data Inventory, 2017?
Denmark, at 81, of the 165 countries in the file.
What year does Open Data Inventory, 2017 describe?
2017.
How many countries does Open Data Inventory, 2017 cover?
165.
Where can I download Open Data Inventory, 2017?
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, 2017 the newest?
No. The newest held here is Open Data Inventory, 2024.