Data for 2018
Regulatory Quality, 2018
Figures for 2018, as World Bank Group published them · stored as published, never rewritten
Regulatory Quality, 2018 covers 207 countries on 2 measures. Hong Kong is highest, at 2.17616; Venezuela is lowest, at -2.09773. The middle country reads -0.08687. Against 2017, 207 values changed (92 up, 115 down), the same countries are covered.
Regulatory Quality · Data for 2018
HighestHong Kong
2.17616LowestVenezuela
-2.09773Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of Regulatory Quality, 2018, as published. World Bank Group ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 207 countries · select a heading to sort
| derived | |||
|---|---|---|---|
| 1 | HKGEastern Asia | 2.17616 | 92.9581 |
| 2 | SGPSouth-eastern Asia | 2.10953 | 91.8112 |
| 3 | NZLAustralia and New Zealand | 1.96573 | 89.3357 |
| 4 | NLDWestern Europe | 1.90036 | 88.2103 |
| 5 | AUSAustralia and New Zealand | 1.84934 | 87.3320 |
| 6 | DNKNorthern Europe | 1.83738 | 87.1262 |
| 7 | FINNorthern Europe | 1.83717 | 87.1226 |
| 8 | NORNorthern Europe | 1.78699 | 86.2587 |
| 9 | CHEWestern Europe | 1.77626 | 86.0741 |
| 10 | LUXWestern Europe | 1.73288 | 85.3273 |
| 11 | SWENorthern Europe | 1.72921 | 85.2641 |
| 12 | GBRNorthern Europe | 1.67667 | 84.3596 |
| 13 | LIEWestern Europe | 1.65658 | 84.0137 |
| 14 | DEUWestern Europe | 1.64742 | 83.8561 |
| 15 | IRLNorthern Europe | 1.64498 | 83.8141 |
| 16 | CANNorthern America | 1.63452 | 83.6340 |
| 17 | GRLNorthern America | 1.52961 | 81.8280 |
| 18 | AUTWestern Europe | 1.52335 | 81.7203 |
| 19 | MACEastern Asia | 1.51874 | 81.6408 |
| 20 | ISLNorthern Europe | 1.48758 | 81.1044 |
| 21 | ESTNorthern Europe | 1.47800 | 80.9396 |
| 22 | USANorthern America | 1.44337 | 80.3434 |
| 23 | JPNEastern Asia | 1.37430 | 79.1544 |
| =24 | ANDSouthern Europe | 1.34242 | 78.6057 |
| =24 | MCOWestern Europe | 1.34242 | 78.6057 |
| 26 | FRAWestern Europe | 1.29282 | 77.7517 |
| 27 | BELWestern Europe | 1.28809 | 77.6704 |
| 28 | TWNEastern Asia | 1.25830 | 77.1574 |
| 29 | MLTSouthern Europe | 1.25668 | 77.1296 |
| 30 | CHLSouth America | 1.21439 | 76.4016 |
| 31 | ISRWestern Asia | 1.20838 | 76.2982 |
| 32 | CZEEastern Europe | 1.17012 | 75.6395 |
| 33 | LTUNorthern Europe | 1.09364 | 74.3229 |
| 34 | CYMCaribbean | 1.08599 | 74.1912 |
| 35 | LVANorthern Europe | 1.04693 | 73.5189 |
| 36 | MUSEastern Africa | 1.04419 | 73.4716 |
| 37 | AREWestern Asia | 1.01883 | 73.0350 |
| 38 | PRTSouthern Europe | 0.99681 | 72.6561 |
| 39 | ABWCaribbean | 0.98132 | 72.3894 |
| 40 | KOREastern Asia | 0.96911 | 72.1792 |
| 41 | CYPWestern Asia | 0.93832 | 71.6492 |
| 42 | ESPSouthern Europe | 0.92928 | 71.4934 |
| 43 | GEOWestern Asia | 0.91733 | 71.2878 |
| 44 | BRNSouth-eastern Asia | 0.90498 | 71.0751 |
| 45 | PRICaribbean | 0.86844 | 70.4462 |
| =46 | AIACaribbean | 0.86683 | 70.4185 |
| =46 | BMUNorthern America | 0.86683 | 70.4185 |
| =46 | SMRSouthern Europe | 0.86683 | 70.4185 |
| =46 | VIRCaribbean | 0.86683 | 70.4185 |
| 50 | SVKEastern Europe | 0.76736 | 68.7061 |
| 51 | MYSSouth-eastern Asia | 0.75819 | 68.5483 |
| 52 | POLEastern Europe | 0.75679 | 68.5241 |
| 53 | SVNSouthern Europe | 0.72606 | 67.9951 |
| 54 | CRICentral America | 0.68996 | 67.3738 |
| 55 | ITASouthern Europe | 0.64514 | 66.6021 |
| 56 | QATWestern Asia | 0.61505 | 66.0841 |
| 57 | URYSouth America | 0.58009 | 65.4823 |
| 58 | BWASouthern Africa | 0.57095 | 65.3250 |
| 59 | OMNWestern Asia | 0.53144 | 64.6448 |
| 60 | BGREastern Europe | 0.51439 | 64.3512 |
| 61 | HUNEastern Europe | 0.50667 | 64.2184 |
| 62 | ATGCaribbean | 0.49120 | 63.9520 |
| 63 | BHRWestern Asia | 0.47889 | 63.7402 |
| 64 | KNACaribbean | 0.47405 | 63.6569 |
| 65 | HRVSouthern Europe | 0.42815 | 62.8668 |
| 66 | MKDSouthern Europe | 0.41419 | 62.6264 |
| 67 | BRBCaribbean | 0.40271 | 62.4287 |
| 68 | ROUEastern Europe | 0.38333 | 62.0952 |
| 69 | PERSouth America | 0.37954 | 62.0300 |
| 70 | PANCentral America | 0.35079 | 61.5350 |
| 71 | GRCSouthern Europe | 0.35009 | 61.5230 |
| 72 | MNESouthern Europe | 0.32331 | 61.0619 |
| 73 | ARMWestern Asia | 0.29148 | 60.5140 |
| 74 | LCACaribbean | 0.28907 | 60.4724 |
| 75 | SYCEastern Africa | 0.27118 | 60.1645 |
| 76 | VCTCaribbean | 0.24994 | 59.7989 |
| 77 | PLWMicronesia | 0.20480 | 59.0218 |
| 78 | COLSouth America | 0.17653 | 58.5352 |
| 79 | JAMCaribbean | 0.17595 | 58.5251 |
| 80 | DMACaribbean | 0.16913 | 58.4077 |
| 81 | THASouth-eastern Asia | 0.15322 | 58.1339 |
| 82 | SRBSouthern Europe | 0.15019 | 58.0817 |
| 83 | ALBSouthern Europe | 0.13382 | 57.8000 |
| 84 | JORWestern Asia | 0.11111 | 57.4089 |
| 85 | RWAEastern Africa | 0.10925 | 57.3769 |
| 86 | KAZCentral Asia | 0.10756 | 57.3478 |
| 87 | BHSCaribbean | 0.10593 | 57.3198 |
| 88 | ZAFSouthern Africa | 0.09539 | 57.1384 |
| 89 | NAMSouthern Africa | 0.08526 | 56.9639 |
| 90 | WSMPolynesia | 0.07037 | 56.7077 |
| 91 | MEXCentral America | 0.06923 | 56.6881 |
| 92 | SAUWestern Asia | 0.06410 | 56.5996 |
| 93 | SLVCentral America | 0.04289 | 56.2346 |
| 94 | IDNSouth-eastern Asia | 0.03591 | 56.1144 |
| 95 | KWTWestern Asia | 0.03421 | 56.0851 |
| 96 | PHLSouth-eastern Asia | 0.03233 | 56.0528 |
| 97 | MNGEastern Asia | 0.02274 | 55.8878 |
| 98 | TURWestern Asia | 0.01839 | 55.8128 |
| 99 | BTNSouthern Asia | -0.04967 | 54.6411 |
| 100 | TTOCaribbean | -0.05143 | 54.6108 |
| 101 | DOMCaribbean | -0.08055 | 54.1096 |
| =102 | ASMPolynesia | -0.08434 | 54.0443 |
| =102 | GUMMicronesia | -0.08434 | 54.0443 |
| 104 | PSEWestern Asia | -0.08687 | 54.0009 |
| 105 | CHNEastern Asia | -0.09470 | 53.8660 |
| 106 | MARNorthern Africa | -0.09478 | 53.8646 |
| 107 | PRYSouth America | -0.10170 | 53.7455 |
| 108 | ARGSouth America | -0.13484 | 53.1751 |
| 109 | LKASouthern Asia | -0.15070 | 52.9020 |
| 110 | TUNNorthern Africa | -0.15802 | 52.7760 |
| 111 | GHAWestern Africa | -0.16359 | 52.6801 |
| 112 | GRDCaribbean | -0.17152 | 52.5435 |
| 113 | CPVWestern Africa | -0.18159 | 52.3702 |
| 114 | INDSouthern Asia | -0.18807 | 52.2586 |
| 115 | MDAEastern Europe | -0.19245 | 52.1833 |
| 116 | BRASouth America | -0.21134 | 51.8580 |
| 117 | FJIMelanesia | -0.21503 | 51.7945 |
| 118 | AZEWestern Asia | -0.21835 | 51.7374 |
| 119 | SENWestern Africa | -0.24277 | 51.3170 |
| 120 | MDVSouthern Asia | -0.25345 | 51.1331 |
| 121 | TONPolynesia | -0.27810 | 50.7089 |
| 122 | VNMSouth-eastern Asia | -0.28215 | 50.6391 |
| 123 | CIVWestern Africa | -0.30303 | 50.2796 |
| 124 | KENEastern Africa | -0.30518 | 50.2426 |
| 125 | BIHSouthern Europe | -0.31276 | 50.1122 |
| 126 | GTMCentral America | -0.33924 | 49.6563 |
| 127 | NRUMicronesia | -0.34733 | 49.5171 |
| 128 | UKREastern Europe | -0.35486 | 49.3874 |
| 129 | KGZCentral Asia | -0.38107 | 48.9363 |
| 130 | UGAEastern Africa | -0.39925 | 48.6233 |
| 131 | HNDCentral America | -0.42127 | 48.2441 |
| 132 | LBNWestern Asia | -0.42156 | 48.2392 |
| 133 | RUSEastern Europe | -0.42521 | 48.1764 |
| 134 | BFAWestern Africa | -0.42623 | 48.1589 |
| 135 | ZMBEastern Africa | -0.43161 | 48.0661 |
| 136 | VUTMelanesia | -0.44199 | 47.8874 |
| 137 | GUYSouth America | -0.44582 | 47.8215 |
| 138 | SWZSouthern Africa | -0.45023 | 47.7457 |
| 139 | PNGMelanesia | -0.45057 | 47.7398 |
| 140 | BENWestern Africa | -0.45967 | 47.5831 |
| 141 | XKXSouthern Europe | -0.48066 | 47.2219 |
| 142 | LSOSouthern Africa | -0.49866 | 46.9120 |
| 143 | NICCentral America | -0.52198 | 46.5106 |
| 144 | KHMSouth-eastern Asia | -0.54883 | 46.0482 |
| 145 | TUVPolynesia | -0.58682 | 45.3943 |
| 146 | MLIWestern Africa | -0.61661 | 44.8814 |
| 147 | NPLSouthern Asia | -0.62549 | 44.7286 |
| 148 | TZAEastern Africa | -0.65222 | 44.2684 |
| 149 | BLZCentral America | -0.65935 | 44.1457 |
| 150 | MWIEastern Africa | -0.66154 | 44.1080 |
| 151 | PAKSouthern Asia | -0.66390 | 44.0675 |
| 152 | NERWestern Africa | -0.69033 | 43.6124 |
| 153 | KIRMicronesia | -0.69784 | 43.4831 |
| 154 | MOZEastern Africa | -0.69830 | 43.4752 |
| 155 | SURSouth America | -0.69832 | 43.4748 |
| 156 | TGOWestern Africa | -0.70489 | 43.3617 |
| 157 | GMBWestern Africa | -0.71818 | 43.1330 |
| 158 | EGYNorthern Africa | -0.72403 | 43.0323 |
| 159 | MRTWestern Africa | -0.72537 | 43.0093 |
| 160 | DJIEastern Africa | -0.76083 | 42.3988 |
| 161 | GABMiddle Africa | -0.76213 | 42.3764 |
| 162 | FSMMicronesia | -0.78361 | 42.0067 |
| 163 | BLREastern Europe | -0.78799 | 41.9312 |
| 164 | BGDSouthern Asia | -0.79215 | 41.8595 |
| 165 | MHLMicronesia | -0.79624 | 41.7893 |
| 166 | CMRMiddle Africa | -0.80925 | 41.5652 |
| 167 | GINWestern Africa | -0.82533 | 41.2885 |
| 168 | ECUSouth America | -0.82728 | 41.2548 |
| 169 | TJKCentral Asia | -0.83387 | 41.1414 |
| 170 | STPMiddle Africa | -0.83858 | 41.0603 |
| 171 | LAOSouth-eastern Asia | -0.84149 | 41.0102 |
| 172 | MMRSouth-eastern Asia | -0.84526 | 40.9454 |
| 173 | NGAWestern Africa | -0.84995 | 40.8646 |
| 174 | BOLSouth America | -0.85801 | 40.7258 |
| 175 | ETHEastern Africa | -0.86235 | 40.6511 |
| 176 | LBRWestern Africa | -0.87147 | 40.4941 |
| 177 | MDGEastern Africa | -0.87896 | 40.3652 |
| 178 | SLEWestern Africa | -0.90674 | 39.8870 |
| 179 | TLSSouth-eastern Asia | -0.91731 | 39.7051 |
| 180 | SLBMelanesia | -0.94773 | 39.1814 |
| 181 | BDIEastern Africa | -0.97333 | 38.7406 |
| 182 | AGOMiddle Africa | -1.02966 | 37.7710 |
| 183 | DZANorthern Africa | -1.06819 | 37.1076 |
| 184 | TCDMiddle Africa | -1.10898 | 36.4055 |
| 185 | UZBCentral Asia | -1.12926 | 36.0564 |
| 186 | HTICaribbean | -1.18122 | 35.1619 |
| 187 | IRQWestern Asia | -1.19389 | 34.9437 |
| 188 | COGMiddle Africa | -1.21443 | 34.5902 |
| 189 | CUBCaribbean | -1.24528 | 34.0591 |
| 190 | COMEastern Africa | -1.25588 | 33.8766 |
| 191 | GNBWestern Africa | -1.28288 | 33.4119 |
| 192 | IRNSouthern Asia | -1.32036 | 32.7667 |
| 193 | CODMiddle Africa | -1.32344 | 32.7136 |
| 194 | AFGSouthern Asia | -1.33746 | 32.4722 |
| 195 | CAFMiddle Africa | -1.36686 | 31.9662 |
| 196 | YEMWestern Asia | -1.38820 | 31.5989 |
| 197 | ZWEEastern Africa | -1.39493 | 31.4830 |
| 198 | GNQMiddle Africa | -1.52820 | 29.1888 |
| 199 | SDNNorthern Africa | -1.54638 | 28.8757 |
| 200 | SYRWestern Asia | -1.55911 | 28.6567 |
| 201 | TKMCentral Asia | -1.78218 | 24.8165 |
| 202 | SSDEastern Africa | -1.93008 | 22.2705 |
| 203 | ERIEastern Africa | -1.96091 | 21.7398 |
| 204 | SOMEastern Africa | -1.99065 | 21.2278 |
| 205 | LBYNorthern Africa | -2.04716 | 20.2549 |
| 206 | PRKEastern Asia | -2.06890 | 19.8807 |
| 207 | VENSouth America | -2.09773 | 19.3844 |
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
Hong Kong2.17616
- 2
Singapore2.10953
- 3
New Zealand1.96573
- 4
Netherlands1.90036
- 5
Australia1.84934
Lowest
- 207
Venezuela-2.09773
- 206
North Korea-2.06890
- 205
Libya-2.04716
- 204
Somalia-1.99065
- 203
Eritrea-1.96091
A higher value is the better result. The middle country reads -0.08687. “Shared” marks a value another country also holds.
Each measure’s ends
032017 → 2018
Since 2017
What changed between 2017 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 207values changed, of 207 in both
- 92 · 115rose · fell
- 0unchanged
Rose most
Antigua and Barbuda0.23997 → 0.49120+0.25122
Nauru-0.56302 → -0.34733+0.21569
Uzbekistan-1.29974 → -1.12926+0.17049
Ecuador-0.97148 → -0.82728+0.14419
Greece0.21712 → 0.35009+0.13297
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.
202 distinct values among 207
Values are stored exactly as published, to 18 decimals. 4 countries share 0.86683. Countries sharing a value share a position too.
The position is ours
World Bank Group publishes values only; the order is this site’s.
Nothing missing
Every one of the 207 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
207 rows · 9.7 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download regulatory-quality-2018-nations-inquiry.csv - ↗
The publisher’s original
World Bank Group’s own file, on its own site.
WB_WGI_WIDEF.csv
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
World Bank Group (2018). Regulatory Quality, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/regulatory-quality/2018
0627 held
Other years
‹ The year before
Regulatory Quality, 2017207 countries
The year after ›
Regulatory Quality, 2019207 countries
All of them
Regulatory Quality: every year27 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Regulatory Quality, 2018: questions and answers
Which country has the highest regulatory quality in Regulatory Quality, 2018?
Hong Kong, at 2.17616, of the 207 countries in the file.
What year does Regulatory Quality, 2018 describe?
2018.
How many countries does Regulatory Quality, 2018 cover?
207.
Where can I download Regulatory Quality, 2018?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Regulatory Quality, 2018 the newest?
No. The newest held here is Regulatory Quality, 2025.