Data for 2015
Regulatory Quality, 2015
Figures for 2015, as World Bank Group published them · stored as published, never rewritten
Regulatory Quality, 2015 covers 209 countries on 2 measures. Singapore is highest, at 2.19439; North Korea is lowest, at -2.14068. The middle country reads -0.10235. Against 2014, 207 values changed (137 up, 70 down), 2 countries joined.
Regulatory Quality · Data for 2015
HighestSingapore
2.19439LowestNorth Korea
-2.14068Shaded 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, 2015, 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 209 countries · select a heading to sort
| derived | |||
|---|---|---|---|
| 1 | SGPSouth-eastern Asia | 2.19439 | 93.2719 |
| 2 | HKGEastern Asia | 2.14398 | 92.4043 |
| 3 | NZLAustralia and New Zealand | 1.99134 | 89.7766 |
| 4 | FINNorthern Europe | 1.90392 | 88.2717 |
| 5 | GBRNorthern Europe | 1.83795 | 87.1361 |
| 6 | CHEWestern Europe | 1.81260 | 86.6995 |
| 7 | DNKNorthern Europe | 1.79361 | 86.3728 |
| 8 | SWENorthern Europe | 1.77437 | 86.0415 |
| 9 | AUSAustralia and New Zealand | 1.77047 | 85.9744 |
| 10 | NLDWestern Europe | 1.76402 | 85.8634 |
| 11 | NORNorthern Europe | 1.75968 | 85.7886 |
| 12 | IRLNorthern Europe | 1.69875 | 84.7397 |
| 13 | MACEastern Asia | 1.67339 | 84.3032 |
| 14 | LUXWestern Europe | 1.65191 | 83.9333 |
| 15 | CANNorthern America | 1.65044 | 83.9081 |
| 16 | ESTNorthern Europe | 1.63703 | 83.6773 |
| 17 | DEUWestern Europe | 1.61689 | 83.3306 |
| 18 | LIEWestern Europe | 1.57464 | 82.6031 |
| 19 | GRLNorthern America | 1.52443 | 81.7388 |
| 20 | JPNEastern Asia | 1.40416 | 79.6684 |
| 21 | ABWCaribbean | 1.39636 | 79.5341 |
| 22 | ISLNorthern Europe | 1.35865 | 78.8850 |
| 23 | MCOWestern Europe | 1.33316 | 78.4461 |
| 24 | AUTWestern Europe | 1.31410 | 78.1181 |
| 25 | TWNEastern Asia | 1.30977 | 78.0435 |
| 26 | USANorthern America | 1.27746 | 77.4874 |
| 27 | LTUNorthern Europe | 1.24480 | 76.9252 |
| 28 | CHLSouth America | 1.24192 | 76.8755 |
| 29 | BELWestern Europe | 1.22323 | 76.5539 |
| 30 | FRAWestern Europe | 1.15934 | 75.4539 |
| 31 | ISRWestern Asia | 1.12921 | 74.9352 |
| 32 | AREWestern Asia | 1.11941 | 74.7665 |
| 33 | ANDSouthern Europe | 1.09536 | 74.3525 |
| 34 | LVANorthern Europe | 1.03950 | 73.3908 |
| 35 | MUSEastern Africa | 1.02900 | 73.2101 |
| 36 | MLTSouthern Europe | 1.01418 | 72.9550 |
| 37 | CZEEastern Europe | 1.00837 | 72.8551 |
| 38 | KOREastern Asia | 1.00365 | 72.7737 |
| 39 | PRICaribbean | 1.00076 | 72.7240 |
| 40 | CYMCaribbean | 0.98958 | 72.5315 |
| 41 | CYPWestern Asia | 0.97998 | 72.3663 |
| 42 | PRTSouthern Europe | 0.92531 | 71.4253 |
| 43 | BRNSouth-eastern Asia | 0.90095 | 71.0058 |
| 44 | GEOWestern Asia | 0.87304 | 70.5254 |
| 45 | ESPSouthern Europe | 0.87188 | 70.5054 |
| 46 | SMRSouthern Europe | 0.85757 | 70.2590 |
| 47 | POLEastern Europe | 0.79988 | 69.2659 |
| 48 | MYSSouth-eastern Asia | 0.78352 | 68.9843 |
| 49 | SVKEastern Europe | 0.75295 | 68.4580 |
| 50 | QATWestern Asia | 0.69890 | 67.5276 |
| 51 | BHRWestern Asia | 0.69586 | 67.4752 |
| 52 | ITASouthern Europe | 0.68573 | 67.3009 |
| 53 | OMNWestern Asia | 0.64521 | 66.6034 |
| 54 | SVNSouthern Europe | 0.64209 | 66.5495 |
| 55 | CRICentral America | 0.63724 | 66.4661 |
| 56 | URYSouth America | 0.62981 | 66.3382 |
| 57 | BWASouthern Africa | 0.62357 | 66.2308 |
| =58 | AIACaribbean | 0.61977 | 66.1654 |
| =58 | BMUNorthern America | 0.61977 | 66.1654 |
| =58 | VIRCaribbean | 0.61977 | 66.1654 |
| 61 | HUNEastern Europe | 0.59123 | 65.6741 |
| 62 | BRBCaribbean | 0.55762 | 65.0956 |
| 63 | KNACaribbean | 0.52505 | 64.5349 |
| 64 | ROUEastern Europe | 0.45371 | 63.3067 |
| 65 | BGREastern Europe | 0.42941 | 62.8884 |
| 66 | PANCentral America | 0.42820 | 62.8676 |
| 67 | PLWMicronesia | 0.41021 | 62.5578 |
| 68 | COLSouth America | 0.35496 | 61.6068 |
| 69 | PERSouth America | 0.35480 | 61.6040 |
| 70 | ZAFSouthern Africa | 0.32420 | 61.0773 |
| 71 | LCACaribbean | 0.31809 | 60.9720 |
| 72 | GRCSouthern Europe | 0.29212 | 60.5251 |
| 73 | MNESouthern Europe | 0.27082 | 60.1584 |
| 74 | SYCEastern Africa | 0.25582 | 59.9000 |
| 75 | NAMSouthern Africa | 0.25127 | 59.8218 |
| 76 | DMACaribbean | 0.24685 | 59.7456 |
| 77 | MKDSouthern Europe | 0.24041 | 59.6347 |
| 78 | MEXCentral America | 0.23492 | 59.5403 |
| 79 | VCTCaribbean | 0.22364 | 59.3461 |
| 80 | ARMWestern Asia | 0.21779 | 59.2455 |
| 81 | THASouth-eastern Asia | 0.21378 | 59.1763 |
| 82 | ATGCaribbean | 0.21036 | 59.1175 |
| 83 | TURWestern Asia | 0.20345 | 58.9986 |
| 84 | SAUWestern Asia | 0.19997 | 58.9387 |
| 85 | JORWestern Asia | 0.16918 | 58.4086 |
| 86 | BHSCaribbean | 0.16401 | 58.3196 |
| 87 | RWAEastern Africa | 0.16279 | 58.2987 |
| 88 | SLVCentral America | 0.15982 | 58.2475 |
| 89 | JAMCaribbean | 0.15401 | 58.1474 |
| 90 | SRBSouthern Europe | 0.14575 | 58.0052 |
| =91 | ASMPolynesia | 0.14418 | 57.9783 |
| =91 | GUMMicronesia | 0.14418 | 57.9783 |
| 93 | PHLSouth-eastern Asia | 0.13075 | 57.7471 |
| 94 | HRVSouthern Europe | 0.11074 | 57.4026 |
| 95 | MARNorthern Africa | 0.11041 | 57.3970 |
| 96 | GRDCaribbean | 0.06775 | 56.6625 |
| 97 | LKASouthern Asia | 0.06367 | 56.5923 |
| 98 | TTOCaribbean | 0.04288 | 56.2345 |
| 99 | ALBSouthern Europe | 0.04198 | 56.2190 |
| 100 | WSMPolynesia | 0.03005 | 56.0135 |
| 101 | KWTWestern Asia | -0.00643 | 55.3855 |
| 102 | DOMCaribbean | -0.05470 | 54.5546 |
| 103 | KAZCentral Asia | -0.05574 | 54.5367 |
| 104 | BRASouth America | -0.06186 | 54.4313 |
| 105 | PSEWestern Asia | -0.10235 | 53.7342 |
| 106 | GHAWestern Africa | -0.13378 | 53.1932 |
| 107 | IDNSouth-eastern Asia | -0.15092 | 52.8982 |
| 108 | CHNEastern Asia | -0.15388 | 52.8473 |
| 109 | SENWestern Africa | -0.17935 | 52.4088 |
| 110 | PRYSouth America | -0.18693 | 52.2783 |
| 111 | CPVWestern Africa | -0.18926 | 52.2382 |
| 112 | MDAEastern Europe | -0.19659 | 52.1120 |
| 113 | FJIMelanesia | -0.25941 | 51.0306 |
| 114 | BIHSouthern Europe | -0.27439 | 50.7726 |
| 115 | VUTMelanesia | -0.28214 | 50.6392 |
| 116 | KENEastern Africa | -0.28694 | 50.5566 |
| 117 | AZEWestern Asia | -0.28814 | 50.5360 |
| 118 | NICCentral America | -0.29538 | 50.4114 |
| 119 | TONPolynesia | -0.30027 | 50.3271 |
| 120 | VNMSouth-eastern Asia | -0.31791 | 50.0236 |
| 121 | LBNWestern Asia | -0.32333 | 49.9302 |
| 122 | MDVSouthern Asia | -0.33546 | 49.7213 |
| 123 | SWZSouthern Africa | -0.33547 | 49.7212 |
| 124 | INDSouthern Asia | -0.35234 | 49.4308 |
| 125 | MNGEastern Asia | -0.35417 | 49.3992 |
| 126 | GTMCentral America | -0.37033 | 49.1211 |
| 127 | UGAEastern Africa | -0.37295 | 49.0761 |
| 128 | ZMBEastern Africa | -0.37652 | 49.0145 |
| 129 | PNGMelanesia | -0.38716 | 48.8313 |
| 130 | BTNSouthern Asia | -0.39417 | 48.7106 |
| 131 | BFAWestern Africa | -0.40873 | 48.4600 |
| 132 | XKXSouthern Europe | -0.41296 | 48.3872 |
| 133 | LSOSouthern Africa | -0.42526 | 48.1755 |
| 134 | TZAEastern Africa | -0.42754 | 48.1363 |
| 135 | TUNNorthern Africa | -0.44721 | 47.7977 |
| 136 | CIVWestern Africa | -0.45449 | 47.6724 |
| 137 | BLZCentral America | -0.47692 | 47.2862 |
| 138 | HNDCentral America | -0.51094 | 46.7005 |
| 139 | MLIWestern Africa | -0.51426 | 46.6434 |
| 140 | GUYSouth America | -0.52976 | 46.3766 |
| 141 | BENWestern Africa | -0.53671 | 46.2569 |
| 142 | NRUMicronesia | -0.56940 | 45.6942 |
| 143 | SURSouth America | -0.57937 | 45.5225 |
| 144 | KHMSouth-eastern Asia | -0.58478 | 45.4294 |
| 145 | RUSEastern Europe | -0.60804 | 45.0291 |
| 146 | MOZEastern Africa | -0.61050 | 44.9867 |
| 147 | TUVPolynesia | -0.61249 | 44.9524 |
| 148 | KGZCentral Asia | -0.65002 | 44.3064 |
| 149 | UKREastern Europe | -0.66403 | 44.0651 |
| 150 | GABMiddle Africa | -0.66699 | 44.0142 |
| 151 | PAKSouthern Asia | -0.66935 | 43.9736 |
| 152 | KIRMicronesia | -0.68566 | 43.6929 |
| 153 | EGYNorthern Africa | -0.68743 | 43.6623 |
| 154 | GMBWestern Africa | -0.69289 | 43.5683 |
| 155 | NERWestern Africa | -0.73091 | 42.9139 |
| 156 | MWIEastern Africa | -0.73585 | 42.8288 |
| 157 | NPLSouthern Asia | -0.74688 | 42.6389 |
| 158 | DJIEastern Africa | -0.74706 | 42.6358 |
| 159 | LAOSouth-eastern Asia | -0.74848 | 42.6113 |
| 160 | STPMiddle Africa | -0.75045 | 42.5775 |
| 161 | NGAWestern Africa | -0.77486 | 42.1572 |
| 162 | MRTWestern Africa | -0.78652 | 41.9566 |
| 163 | CMRMiddle Africa | -0.78687 | 41.9505 |
| 164 | BGDSouthern Asia | -0.78895 | 41.9147 |
| 165 | ARGSouth America | -0.79429 | 41.8227 |
| 166 | LBRWestern Africa | -0.79485 | 41.8131 |
| 167 | FSMMicronesia | -0.79766 | 41.7648 |
| 168 | MHLMicronesia | -0.81648 | 41.4407 |
| 169 | TGOWestern Africa | -0.82165 | 41.3518 |
| 170 | BOLSouth America | -0.83585 | 41.1073 |
| 171 | MDGEastern Africa | -0.87227 | 40.4803 |
| =172 | COKPolynesia | -0.87267 | 40.4734 |
| =172 | NIUPolynesia | -0.87267 | 40.4734 |
| 174 | BDIEastern Africa | -0.88240 | 40.3060 |
| 175 | GINWestern Africa | -0.89209 | 40.1391 |
| 176 | SLEWestern Africa | -0.91157 | 39.8038 |
| 177 | ETHEastern Africa | -0.92668 | 39.5438 |
| 178 | DZANorthern Africa | -0.93772 | 39.3537 |
| 179 | TLSSouth-eastern Asia | -0.94182 | 39.2831 |
| 180 | SLBMelanesia | -0.95078 | 39.1288 |
| 181 | TJKCentral Asia | -1.02680 | 37.8202 |
| 182 | COGMiddle Africa | -1.02752 | 37.8078 |
| 183 | ECUSouth America | -1.02925 | 37.7780 |
| 184 | IRQWestern Asia | -1.03033 | 37.7594 |
| 185 | CUBCaribbean | -1.04102 | 37.5754 |
| 186 | BLREastern Europe | -1.04270 | 37.5464 |
| 187 | AGOMiddle Africa | -1.04689 | 37.4744 |
| 188 | YEMWestern Asia | -1.04831 | 37.4499 |
| 189 | AFGSouthern Asia | -1.09089 | 36.7168 |
| 190 | TCDMiddle Africa | -1.13734 | 35.9172 |
| 191 | MMRSouth-eastern Asia | -1.13785 | 35.9085 |
| 192 | IRNSouthern Asia | -1.14229 | 35.8320 |
| 193 | COMEastern Africa | -1.25053 | 33.9688 |
| 194 | HTICaribbean | -1.26677 | 33.6892 |
| 195 | CODMiddle Africa | -1.30997 | 32.9455 |
| 196 | GNBWestern Africa | -1.32655 | 32.6600 |
| 197 | ZWEEastern Africa | -1.43798 | 30.7419 |
| 198 | UZBCentral Asia | -1.44631 | 30.5985 |
| 199 | SDNNorthern Africa | -1.49878 | 29.6952 |
| 200 | CAFMiddle Africa | -1.51569 | 29.4042 |
| 201 | SYRWestern Asia | -1.52590 | 29.2284 |
| 202 | GNQMiddle Africa | -1.54567 | 28.8880 |
| 203 | VENSouth America | -1.65446 | 27.0152 |
| 204 | SSDEastern Africa | -1.69683 | 26.2859 |
| 205 | TKMCentral Asia | -1.76279 | 25.1503 |
| 206 | ERIEastern Africa | -1.92653 | 22.3316 |
| 207 | LBYNorthern Africa | -2.00056 | 21.0572 |
| 208 | SOMEastern Africa | -2.03876 | 20.3996 |
| 209 | PRKEastern Asia | -2.14068 | 18.6451 |
02In 2015
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore2.19439
- 2
Hong Kong2.14398
- 3
New Zealand1.99134
- 4
Finland1.90392
- 5
United Kingdom1.83795
Lowest
- 209
North Korea-2.14068
- 208
Somalia-2.03876
- 207
Libya-2.00056
- 206
Eritrea-1.92653
- 205
Turkmenistan-1.76279
A higher value is the better result. The middle country reads -0.10235. “Shared” marks a value another country also holds.
Each measure’s ends
Governance Score, Regulatory Quality (0–100)
Highest
Singapore93.2719
Lowest
North Korea18.6451
Middle country: 53.7342
032014 → 2015
Since 2014
What changed between 2014 and this one: who joined or left, and how far the headline moved.
- +2 / −0countries joined / left
- 207values changed, of 207 in both
- 137 · 70rose · fell
- 0unchanged
Rose most
Palau-0.48180 → 0.41021+0.89200
Bhutan-0.81015 → -0.39417+0.41598
Saint Kitts and Nevis0.13810 → 0.52505+0.38695
Seychelles-0.10119 → 0.25582+0.35700
Nauru-0.89110 → -0.56940+0.32170
Fell most
Ecuador-0.81955 → -1.02925−0.20970
Saint Vincent and the Grenadines0.43228 → 0.22364−0.20864
Kosovo-0.22636 → -0.41296−0.18660
Türkiye0.38838 → 0.20345−0.18492
Yemen-0.88029 → -1.04831−0.16802
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.
205 distinct values among 209
Values are stored exactly as published, to 18 decimals. 3 countries share 0.61977. 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 209 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
209 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-2015-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 (2015). Regulatory Quality, 2015 [data set], describing 2015. As held by Nations Inquiry, https://nationsinquiry.com/datasets/regulatory-quality/2015
0627 held
Other years
‹ The year before
Regulatory Quality, 2014207 countries
The year after ›
Regulatory Quality, 2016207 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, 2015: questions and answers
Which country has the highest regulatory quality in Regulatory Quality, 2015?
Singapore, at 2.19439, of the 209 countries in the file.
What year does Regulatory Quality, 2015 describe?
2015.
How many countries does Regulatory Quality, 2015 cover?
209.
Where can I download Regulatory Quality, 2015?
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, 2015 the newest?
No. The newest held here is Regulatory Quality, 2025.