Data for 2016
Regulatory Quality, 2016
Figures for 2016, as World Bank Group published them · stored as published, never rewritten
Regulatory Quality, 2016 covers 207 countries on 2 measures. Hong Kong is highest, at 2.19135; North Korea is lowest, at -2.14014. The middle country reads -0.06907. Against 2015, 207 values changed (122 up, 85 down), 2 left.
Regulatory Quality · Data for 2016
HighestHong Kong
2.19135LowestNorth Korea
-2.14014Shaded 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, 2016, 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 | 2.19135 | 93.220 |
| 2 | SGPSouth-eastern Asia | 2.15065 | 92.519 |
| 3 | NZLAustralia and New Zealand | 2.02879 | 90.421 |
| 4 | NLDWestern Europe | 1.93441 | 88.797 |
| 5 | CHEWestern Europe | 1.90499 | 88.290 |
| 6 | AUSAustralia and New Zealand | 1.84082 | 87.185 |
| 7 | FINNorthern Europe | 1.82397 | 86.895 |
| 8 | DNKNorthern Europe | 1.77242 | 86.008 |
| 9 | CANNorthern America | 1.77195 | 86.000 |
| 10 | NORNorthern Europe | 1.76597 | 85.897 |
| 11 | SWENorthern Europe | 1.76266 | 85.840 |
| 12 | LUXWestern Europe | 1.70423 | 84.834 |
| 13 | GBRNorthern Europe | 1.67536 | 84.337 |
| 14 | IRLNorthern Europe | 1.66898 | 84.227 |
| 15 | ESTNorthern Europe | 1.66786 | 84.208 |
| 16 | DEUWestern Europe | 1.65807 | 84.039 |
| 17 | MACEastern Asia | 1.59542 | 82.961 |
| 18 | LIEWestern Europe | 1.57553 | 82.619 |
| 19 | GRLNorthern America | 1.52594 | 81.765 |
| 20 | JPNEastern Asia | 1.52586 | 81.763 |
| 21 | AUTWestern Europe | 1.40965 | 79.763 |
| 22 | ABWCaribbean | 1.39741 | 79.552 |
| 23 | USANorthern America | 1.38244 | 79.294 |
| 24 | ISLNorthern Europe | 1.34520 | 78.653 |
| 25 | BELWestern Europe | 1.34269 | 78.610 |
| 26 | MCOWestern Europe | 1.33586 | 78.493 |
| 27 | CHLSouth America | 1.29819 | 77.844 |
| 28 | TWNEastern Asia | 1.27035 | 77.365 |
| 29 | ISRWestern Asia | 1.26217 | 77.224 |
| 30 | FRAWestern Europe | 1.15063 | 75.304 |
| 31 | LTUNorthern Europe | 1.10220 | 74.470 |
| 32 | ANDSouthern Europe | 1.09806 | 74.399 |
| 33 | MLTSouthern Europe | 1.08643 | 74.199 |
| 34 | MUSEastern Africa | 1.06712 | 73.866 |
| 35 | AREWestern Asia | 1.02413 | 73.126 |
| 36 | GEOWestern Asia | 1.01488 | 72.967 |
| 37 | ESPSouthern Europe | 1.01432 | 72.957 |
| 38 | LVANorthern Europe | 1.00847 | 72.857 |
| 39 | PRICaribbean | 1.00168 | 72.740 |
| 40 | CYMCaribbean | 0.99063 | 72.550 |
| 41 | KOREastern Asia | 0.97383 | 72.260 |
| 42 | CYPWestern Asia | 0.96158 | 72.050 |
| 43 | CZEEastern Europe | 0.95370 | 71.914 |
| 44 | PRTSouthern Europe | 0.91198 | 71.196 |
| 45 | SVKEastern Europe | 0.90104 | 71.007 |
| =46 | AIACaribbean | 0.86027 | 70.305 |
| =46 | BMUNorthern America | 0.86027 | 70.305 |
| =46 | SMRSouthern Europe | 0.86027 | 70.305 |
| =46 | VIRCaribbean | 0.86027 | 70.305 |
| 50 | POLEastern Europe | 0.78354 | 68.985 |
| 51 | BRNSouth-eastern Asia | 0.77429 | 68.825 |
| 52 | MYSSouth-eastern Asia | 0.74862 | 68.384 |
| 53 | ITASouthern Europe | 0.71580 | 67.819 |
| 54 | SVNSouthern Europe | 0.71165 | 67.747 |
| 55 | URYSouth America | 0.71047 | 67.727 |
| 56 | QATWestern Asia | 0.69824 | 67.516 |
| 57 | OMNWestern Asia | 0.68834 | 67.346 |
| 58 | CRICentral America | 0.67696 | 67.150 |
| 59 | BWASouthern Africa | 0.63214 | 66.378 |
| 60 | BGREastern Europe | 0.58580 | 65.581 |
| 61 | HUNEastern Europe | 0.56692 | 65.256 |
| 62 | KNACaribbean | 0.52654 | 64.560 |
| 63 | BRBCaribbean | 0.51636 | 64.385 |
| 64 | BHRWestern Asia | 0.51433 | 64.350 |
| 65 | ROUEastern Europe | 0.44027 | 63.075 |
| 66 | PANCentral America | 0.41911 | 62.711 |
| 67 | PLWMicronesia | 0.41264 | 62.600 |
| 68 | PERSouth America | 0.36281 | 61.742 |
| 69 | COLSouth America | 0.31962 | 60.998 |
| 70 | LCACaribbean | 0.31881 | 60.984 |
| 71 | MNESouthern Europe | 0.28170 | 60.346 |
| 72 | ZAFSouthern Africa | 0.27802 | 60.282 |
| 73 | VCTCaribbean | 0.26881 | 60.124 |
| 74 | DMACaribbean | 0.24766 | 59.760 |
| 75 | MKDSouthern Europe | 0.24116 | 59.648 |
| 76 | ARMWestern Asia | 0.23799 | 59.593 |
| 77 | SYCEastern Africa | 0.22827 | 59.426 |
| 78 | MEXCentral America | 0.22331 | 59.341 |
| 79 | GRCSouthern Europe | 0.21194 | 59.145 |
| 80 | ATGCaribbean | 0.21184 | 59.143 |
| 81 | BHSCaribbean | 0.19916 | 58.925 |
| 82 | HRVSouthern Europe | 0.18767 | 58.727 |
| 83 | JAMCaribbean | 0.16727 | 58.376 |
| 84 | THASouth-eastern Asia | 0.16689 | 58.369 |
| 85 | NAMSouthern Africa | 0.15791 | 58.215 |
| 86 | PHLSouth-eastern Asia | 0.15482 | 58.161 |
| 87 | SAUWestern Asia | 0.15035 | 58.085 |
| 88 | ASMPolynesia | 0.14688 | 58.025 |
| 89 | RWAEastern Africa | 0.13683 | 57.852 |
| 90 | JORWestern Asia | 0.12546 | 57.656 |
| 91 | TURWestern Asia | 0.12040 | 57.569 |
| 92 | ALBSouthern Europe | 0.07093 | 56.717 |
| 93 | GRDCaribbean | 0.06857 | 56.677 |
| 94 | WSMPolynesia | 0.06786 | 56.664 |
| 95 | SLVCentral America | 0.04650 | 56.297 |
| 96 | MARNorthern Africa | 0.04375 | 56.249 |
| 97 | SRBSouthern Europe | 0.04153 | 56.211 |
| 98 | IDNSouth-eastern Asia | 0.00703 | 55.617 |
| 99 | TTOCaribbean | 0.00426 | 55.570 |
| 100 | DOMCaribbean | -0.01738 | 55.197 |
| 101 | LKASouthern Asia | -0.01877 | 55.173 |
| 102 | KWTWestern Asia | -0.02723 | 55.027 |
| 103 | MNGEastern Asia | -0.04991 | 54.637 |
| 104 | BRASouth America | -0.06907 | 54.307 |
| 105 | PSEWestern Asia | -0.08943 | 53.957 |
| 106 | GUMMicronesia | -0.09091 | 53.931 |
| 107 | KAZCentral Asia | -0.11680 | 53.486 |
| 108 | CHNEastern Asia | -0.12520 | 53.341 |
| 109 | PRYSouth America | -0.14344 | 53.027 |
| 110 | CPVWestern Africa | -0.15803 | 52.776 |
| 111 | SENWestern Africa | -0.18348 | 52.338 |
| 112 | FJIMelanesia | -0.21854 | 51.734 |
| 113 | ARGSouth America | -0.22949 | 51.546 |
| 114 | MDAEastern Europe | -0.23067 | 51.525 |
| 115 | KENEastern Africa | -0.23379 | 51.472 |
| 116 | AZEWestern Asia | -0.23630 | 51.428 |
| 117 | GHAWestern Africa | -0.25279 | 51.144 |
| 118 | MDVSouthern Asia | -0.25596 | 51.090 |
| 119 | BIHSouthern Europe | -0.27160 | 50.821 |
| 120 | INDSouthern Asia | -0.27329 | 50.792 |
| 121 | TONPolynesia | -0.29938 | 50.342 |
| 122 | VNMSouth-eastern Asia | -0.29970 | 50.337 |
| 123 | GTMCentral America | -0.31804 | 50.021 |
| 124 | XKXSouthern Europe | -0.33476 | 49.733 |
| 125 | VUTMelanesia | -0.33537 | 49.723 |
| 126 | BTNSouthern Asia | -0.35429 | 49.397 |
| 127 | SWZSouthern Africa | -0.36302 | 49.247 |
| 128 | LBNWestern Asia | -0.36985 | 49.129 |
| 129 | GUYSouth America | -0.38192 | 48.922 |
| 130 | NICCentral America | -0.38577 | 48.855 |
| 131 | UGAEastern Africa | -0.38778 | 48.821 |
| 132 | TZAEastern Africa | -0.40919 | 48.452 |
| 133 | BFAWestern Africa | -0.41725 | 48.313 |
| 134 | LSOSouthern Africa | -0.42685 | 48.148 |
| 135 | KGZCentral Asia | -0.43139 | 48.070 |
| 136 | CIVWestern Africa | -0.44698 | 47.802 |
| 137 | PNGMelanesia | -0.44746 | 47.793 |
| 138 | ZMBEastern Africa | -0.45583 | 47.649 |
| 139 | BENWestern Africa | -0.46582 | 47.477 |
| 140 | BLZCentral America | -0.47167 | 47.377 |
| 141 | RUSEastern Europe | -0.49913 | 46.904 |
| 142 | TUNNorthern Africa | -0.50097 | 46.872 |
| 143 | KHMSouth-eastern Asia | -0.52708 | 46.423 |
| 144 | UKREastern Europe | -0.56117 | 45.836 |
| 145 | NRUMicronesia | -0.56697 | 45.736 |
| 146 | HNDCentral America | -0.56746 | 45.728 |
| 147 | MLIWestern Africa | -0.56751 | 45.727 |
| 148 | TUVPolynesia | -0.58986 | 45.342 |
| 149 | SURSouth America | -0.60098 | 45.151 |
| 150 | GABMiddle Africa | -0.62801 | 44.685 |
| 151 | GMBWestern Africa | -0.64377 | 44.414 |
| 152 | PAKSouthern Asia | -0.65150 | 44.281 |
| 153 | MRTWestern Africa | -0.66100 | 44.117 |
| 154 | NERWestern Africa | -0.66787 | 43.999 |
| 155 | MOZEastern Africa | -0.66977 | 43.966 |
| 156 | NPLSouthern Asia | -0.69198 | 43.584 |
| 157 | KIRMicronesia | -0.70001 | 43.446 |
| 158 | MWIEastern Africa | -0.72816 | 42.961 |
| 159 | LAOSouth-eastern Asia | -0.72859 | 42.954 |
| 160 | STPMiddle Africa | -0.72886 | 42.949 |
| 161 | DJIEastern Africa | -0.73151 | 42.904 |
| 162 | CMRMiddle Africa | -0.74368 | 42.694 |
| 163 | EGYNorthern Africa | -0.74632 | 42.648 |
| 164 | BGDSouthern Asia | -0.77709 | 42.119 |
| 165 | FSMMicronesia | -0.78612 | 41.963 |
| 166 | MDGEastern Africa | -0.78815 | 41.929 |
| 167 | MHLMicronesia | -0.79386 | 41.830 |
| 168 | TGOWestern Africa | -0.80448 | 41.647 |
| 169 | BOLSouth America | -0.85391 | 40.796 |
| 170 | NGAWestern Africa | -0.85499 | 40.778 |
| 171 | GINWestern Africa | -0.85570 | 40.766 |
| 172 | LBRWestern Africa | -0.87201 | 40.485 |
| 173 | BDIEastern Africa | -0.89349 | 40.115 |
| 174 | SLEWestern Africa | -0.90337 | 39.945 |
| 175 | MMRSouth-eastern Asia | -0.90478 | 39.921 |
| 176 | ECUSouth America | -0.91329 | 39.774 |
| 177 | TLSSouth-eastern Asia | -0.92639 | 39.549 |
| 178 | BLREastern Europe | -0.93217 | 39.449 |
| 179 | DZANorthern Africa | -0.93224 | 39.448 |
| 180 | SLBMelanesia | -0.94989 | 39.144 |
| 181 | ETHEastern Africa | -0.98809 | 38.487 |
| 182 | IRQWestern Asia | -0.98983 | 38.457 |
| 183 | TJKCentral Asia | -1.05997 | 37.249 |
| 184 | COGMiddle Africa | -1.10548 | 36.466 |
| 185 | IRNSouthern Asia | -1.10896 | 36.406 |
| 186 | TCDMiddle Africa | -1.12896 | 36.061 |
| 187 | AGOMiddle Africa | -1.14281 | 35.823 |
| 188 | CUBCaribbean | -1.16520 | 35.438 |
| 189 | YEMWestern Asia | -1.21868 | 34.517 |
| 190 | COMEastern Africa | -1.22983 | 34.325 |
| 191 | CODMiddle Africa | -1.24027 | 34.145 |
| 192 | HTICaribbean | -1.27642 | 33.523 |
| 193 | GNBWestern Africa | -1.29165 | 33.261 |
| 194 | AFGSouthern Asia | -1.40910 | 31.239 |
| 195 | UZBCentral Asia | -1.40978 | 31.227 |
| 196 | CAFMiddle Africa | -1.42524 | 30.961 |
| 197 | SDNNorthern Africa | -1.44953 | 30.543 |
| 198 | GNQMiddle Africa | -1.45075 | 30.522 |
| 199 | ZWEEastern Africa | -1.50426 | 29.601 |
| 200 | SYRWestern Asia | -1.63264 | 27.391 |
| 201 | VENSouth America | -1.72604 | 25.783 |
| 202 | SSDEastern Africa | -1.79142 | 24.657 |
| 203 | TKMCentral Asia | -1.81898 | 24.183 |
| 204 | ERIEastern Africa | -1.96469 | 21.675 |
| 205 | LBYNorthern Africa | -2.08491 | 19.605 |
| 206 | SOMEastern Africa | -2.08956 | 19.525 |
| 207 | PRKEastern Asia | -2.14014 | 18.654 |
02In 2016
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Hong Kong2.19135
- 2
Singapore2.15065
- 3
New Zealand2.02879
- 4
Netherlands1.93441
- 5
Switzerland1.90499
Lowest
- 207
North Korea-2.14014
- 206
Somalia-2.08956
- 205
Libya-2.08491
- 204
Eritrea-1.96469
- 203
Turkmenistan-1.81898
A higher value is the better result. The middle country reads -0.06907. “Shared” marks a value another country also holds.
Each measure’s ends
Governance Score, Regulatory Quality (0–100)
Highest
Hong Kong93.220
Lowest
North Korea18.654
Middle country: 54.307
032015 → 2016
Since 2015
What changed between 2015 and this one: who joined or left, and how far the headline moved.
- +0 / −2countries joined / left
- 207values changed, of 207 in both
- 122 · 85rose · fell
- 0unchanged
Rose most
Argentina-0.79429 → -0.22949+0.56480
Mongolia-0.35417 → -0.04991+0.30426
Anguilla0.61977 → 0.86027+0.24050
Bermuda0.61977 → 0.86027+0.24050
United States Virgin Islands0.61977 → 0.86027+0.24050
Fell most
Afghanistan-1.09089 → -1.40910−0.31820
Guam0.14418 → -0.09091−0.23509
Bahrain0.69586 → 0.51433−0.18152
Yemen-1.04831 → -1.21868−0.17038
United Kingdom1.83795 → 1.67536−0.16259
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.
204 distinct values among 207
Values are stored exactly as published, to 19 decimals. 4 countries share 0.86027. 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 · 9.9 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download regulatory-quality-2016-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 (2016). Regulatory Quality, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/regulatory-quality/2016
0627 held
Other years
‹ The year before
Regulatory Quality, 2015209 countries
The year after ›
Regulatory Quality, 2017207 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, 2016: questions and answers
Which country has the highest regulatory quality in Regulatory Quality, 2016?
Hong Kong, at 2.19135, of the 207 countries in the file.
What year does Regulatory Quality, 2016 describe?
2016.
How many countries does Regulatory Quality, 2016 cover?
207.
Where can I download Regulatory Quality, 2016?
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, 2016 the newest?
No. The newest held here is Regulatory Quality, 2025.