Data for 2020
Regulatory Quality, 2020
Figures for 2020, as World Bank Group published them · stored as published, never rewritten
Regulatory Quality, 2020 covers 207 countries on 2 measures. Singapore is highest, at 2.09986; Venezuela is lowest, at -2.10391. The middle country reads -0.08239. Against 2019, 207 values changed (50 up, 157 down), the same countries are covered.
Regulatory Quality · Data for 2020
HighestSingapore
2.09986LowestVenezuela
-2.10391Shaded 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, 2020, 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 | SGPSouth-eastern Asia | 2.09986 | 91.6447 |
| 2 | DNKNorthern Europe | 1.96377 | 89.3019 |
| 3 | FINNorthern Europe | 1.94928 | 89.0525 |
| 4 | NZLAustralia and New Zealand | 1.92749 | 88.6773 |
| 5 | HKGEastern Asia | 1.81761 | 86.7858 |
| 6 | LUXWestern Europe | 1.79357 | 86.3720 |
| 7 | AUSAustralia and New Zealand | 1.79254 | 86.3543 |
| 8 | NLDWestern Europe | 1.74100 | 85.4670 |
| 9 | SWENorthern Europe | 1.68655 | 84.5297 |
| 10 | NORNorthern Europe | 1.67193 | 84.2781 |
| 11 | LIEWestern Europe | 1.65579 | 84.0001 |
| 12 | CHEWestern Europe | 1.62792 | 83.5205 |
| 13 | GBRNorthern Europe | 1.61585 | 83.3126 |
| 14 | CANNorthern America | 1.58627 | 82.8035 |
| 15 | DEUWestern Europe | 1.54807 | 82.1458 |
| 16 | GRLNorthern America | 1.52828 | 81.8051 |
| 17 | ESTNorthern Europe | 1.50912 | 81.4752 |
| 18 | ISLNorthern Europe | 1.50366 | 81.3813 |
| 19 | IRLNorthern Europe | 1.48287 | 81.0235 |
| 20 | AUTWestern Europe | 1.45324 | 80.5134 |
| 21 | MACEastern Asia | 1.43908 | 80.2696 |
| 22 | JPNEastern Asia | 1.37609 | 79.1852 |
| 23 | BELWestern Europe | 1.37260 | 79.1252 |
| 24 | MCOWestern Europe | 1.34005 | 78.5647 |
| 25 | USANorthern America | 1.26018 | 77.1898 |
| 26 | FRAWestern Europe | 1.25536 | 77.1069 |
| 27 | TWNEastern Asia | 1.23662 | 76.7842 |
| 28 | ISRWestern Asia | 1.19874 | 76.1323 |
| 29 | MLTSouthern Europe | 1.12504 | 74.8635 |
| 30 | CZEEastern Europe | 1.11797 | 74.7418 |
| =31 | ANDSouthern Europe | 1.10225 | 74.4712 |
| =31 | VIRCaribbean | 1.10225 | 74.4712 |
| 33 | CYMCaribbean | 1.08506 | 74.1752 |
| 34 | LVANorthern Europe | 1.03872 | 73.3774 |
| 35 | AREWestern Asia | 1.01050 | 72.8917 |
| 36 | MUSEastern Africa | 1.00665 | 72.8254 |
| 37 | ABWCaribbean | 0.98039 | 72.3734 |
| 38 | KOREastern Asia | 0.94062 | 71.6887 |
| 39 | CHLSouth America | 0.93794 | 71.6425 |
| 40 | CYPWestern Asia | 0.93071 | 71.5181 |
| 41 | LTUNorthern Europe | 0.93048 | 71.5142 |
| 42 | GEOWestern Asia | 0.88419 | 70.7174 |
| 43 | ESPSouthern Europe | 0.87962 | 70.6386 |
| 44 | BRNSouth-eastern Asia | 0.87494 | 70.5581 |
| 45 | SVNSouthern Europe | 0.87331 | 70.5300 |
| =46 | AIACaribbean | 0.86446 | 70.3776 |
| =46 | BMUNorthern America | 0.86446 | 70.3776 |
| =46 | SMRSouthern Europe | 0.86446 | 70.3776 |
| 49 | PRTSouthern Europe | 0.86227 | 70.3399 |
| 50 | QATWestern Asia | 0.78648 | 69.0352 |
| 51 | PRICaribbean | 0.78622 | 69.0309 |
| 52 | POLEastern Europe | 0.74879 | 68.3865 |
| 53 | SVKEastern Europe | 0.67086 | 67.0450 |
| 54 | MYSSouth-eastern Asia | 0.65913 | 66.8429 |
| 55 | URYSouth America | 0.65812 | 66.8256 |
| 56 | CRICentral America | 0.57807 | 65.4475 |
| 57 | ATGCaribbean | 0.57708 | 65.4306 |
| 58 | ITASouthern Europe | 0.55153 | 64.9907 |
| 59 | BHRWestern Asia | 0.54625 | 64.8998 |
| 60 | HUNEastern Europe | 0.52006 | 64.4490 |
| 61 | GRCSouthern Europe | 0.49280 | 63.9797 |
| 62 | OMNWestern Asia | 0.49075 | 63.9443 |
| 63 | KNACaribbean | 0.46538 | 63.5076 |
| 64 | BRBCaribbean | 0.42328 | 62.7829 |
| 65 | BWASouthern Africa | 0.41679 | 62.6712 |
| 66 | PLWMicronesia | 0.41640 | 62.6644 |
| 67 | MKDSouthern Europe | 0.39295 | 62.2607 |
| =68 | ASMPolynesia | 0.38887 | 62.1905 |
| =68 | GUMMicronesia | 0.38887 | 62.1905 |
| 70 | BGREastern Europe | 0.37510 | 61.9534 |
| 71 | ROUEastern Europe | 0.35493 | 61.6063 |
| 72 | PERSouth America | 0.32652 | 61.1172 |
| 73 | PANCentral America | 0.29951 | 60.6522 |
| 74 | SYCEastern Africa | 0.28599 | 60.4194 |
| 75 | LCACaribbean | 0.28151 | 60.3423 |
| 76 | MNESouthern Europe | 0.27636 | 60.2536 |
| 77 | HRVSouthern Europe | 0.24562 | 59.7244 |
| 78 | COLSouth America | 0.23298 | 59.5069 |
| 79 | ARMWestern Asia | 0.20917 | 59.0970 |
| 80 | IDNSouth-eastern Asia | 0.19406 | 58.8369 |
| 81 | VCTCaribbean | 0.17568 | 58.5205 |
| 82 | JORWestern Asia | 0.17029 | 58.4277 |
| 83 | DMACaribbean | 0.16887 | 58.4033 |
| 84 | KWTWestern Asia | 0.14910 | 58.0630 |
| 85 | JAMCaribbean | 0.13697 | 57.8541 |
| 86 | SAUWestern Asia | 0.13580 | 57.8340 |
| 87 | ZAFSouthern Africa | 0.13027 | 57.7387 |
| 88 | SRBSouthern Europe | 0.12355 | 57.6231 |
| 89 | NAMSouthern Africa | 0.10977 | 57.3858 |
| 90 | RWAEastern Africa | 0.10536 | 57.3100 |
| 91 | THASouth-eastern Asia | 0.09725 | 57.1704 |
| 92 | PHLSouth-eastern Asia | 0.05920 | 56.5153 |
| 93 | ALBSouthern Europe | 0.05919 | 56.5151 |
| 94 | KAZCentral Asia | 0.05633 | 56.4660 |
| 95 | MARNorthern Africa | 0.05006 | 56.3580 |
| 96 | CPVWestern Africa | 0.01010 | 55.6701 |
| 97 | SLVCentral America | -0.00862 | 55.3478 |
| 98 | CHNEastern Asia | -0.02411 | 55.0812 |
| 99 | MEXCentral America | -0.03126 | 54.9582 |
| 100 | BTNSouthern Asia | -0.03406 | 54.9099 |
| 101 | DOMCaribbean | -0.04263 | 54.7624 |
| 102 | BHSCaribbean | -0.06307 | 54.4104 |
| 103 | LKASouthern Asia | -0.07606 | 54.1869 |
| 104 | MNGEastern Asia | -0.08239 | 54.0778 |
| 105 | WSMPolynesia | -0.08603 | 54.0153 |
| 106 | PSEWestern Asia | -0.08779 | 53.9849 |
| 107 | TURWestern Asia | -0.10496 | 53.6893 |
| 108 | TTOCaribbean | -0.10615 | 53.6688 |
| 109 | TUNNorthern Africa | -0.11421 | 53.5301 |
| 110 | MDAEastern Europe | -0.12024 | 53.4263 |
| 111 | BRASouth America | -0.12249 | 53.3877 |
| 112 | GRDCaribbean | -0.14039 | 53.0795 |
| 113 | FJIMelanesia | -0.14316 | 53.0318 |
| 114 | AZEWestern Asia | -0.14665 | 52.9717 |
| 115 | PRYSouth America | -0.14767 | 52.9542 |
| 116 | GHAWestern Africa | -0.14951 | 52.9224 |
| 117 | INDSouthern Asia | -0.16510 | 52.6541 |
| 118 | VNMSouth-eastern Asia | -0.22771 | 51.5763 |
| 119 | SENWestern Africa | -0.27695 | 50.7287 |
| 120 | UKREastern Europe | -0.30690 | 50.2130 |
| 121 | BIHSouthern Europe | -0.31989 | 49.9895 |
| 122 | GTMCentral America | -0.32236 | 49.9469 |
| 123 | CIVWestern Africa | -0.32407 | 49.9175 |
| 124 | NRUMicronesia | -0.34946 | 49.4803 |
| 125 | MDVSouthern Asia | -0.37450 | 49.0494 |
| 126 | TONPolynesia | -0.38635 | 48.8454 |
| 127 | XKXSouthern Europe | -0.41164 | 48.4099 |
| 128 | VUTMelanesia | -0.41615 | 48.3323 |
| 129 | KGZCentral Asia | -0.43900 | 47.9390 |
| 130 | RUSEastern Europe | -0.45696 | 47.6298 |
| 131 | BENWestern Africa | -0.46160 | 47.5500 |
| 132 | KENEastern Africa | -0.46559 | 47.4812 |
| 133 | SWZSouthern Africa | -0.46567 | 47.4799 |
| 134 | UGAEastern Africa | -0.49015 | 47.0585 |
| 135 | ARGSouth America | -0.49790 | 46.9250 |
| 136 | TGOWestern Africa | -0.50793 | 46.7524 |
| 137 | BFAWestern Africa | -0.51122 | 46.6957 |
| 138 | PNGMelanesia | -0.55000 | 46.0281 |
| 139 | HNDCentral America | -0.55639 | 45.9182 |
| 140 | KIRMicronesia | -0.56805 | 45.7174 |
| 141 | GUYSouth America | -0.58198 | 45.4776 |
| 142 | BLZCentral America | -0.58242 | 45.4701 |
| 143 | ZMBEastern Africa | -0.60869 | 45.0178 |
| 144 | EGYNorthern Africa | -0.60882 | 45.0157 |
| 145 | KHMSouth-eastern Asia | -0.64722 | 44.3546 |
| 146 | LBNWestern Asia | -0.67517 | 43.8734 |
| 147 | LSOSouthern Africa | -0.67980 | 43.7937 |
| 148 | TUVPolynesia | -0.68194 | 43.7568 |
| 149 | NICCentral America | -0.68574 | 43.6914 |
| 150 | NPLSouthern Asia | -0.69043 | 43.6107 |
| 151 | PAKSouthern Asia | -0.69849 | 43.4720 |
| 152 | SURSouth America | -0.70303 | 43.3938 |
| 153 | GMBWestern Africa | -0.71150 | 43.2480 |
| 154 | ECUSouth America | -0.71190 | 43.2411 |
| 155 | MWIEastern Africa | -0.72242 | 43.0600 |
| 156 | MLIWestern Africa | -0.72542 | 43.0084 |
| 157 | MOZEastern Africa | -0.73622 | 42.8224 |
| 158 | TZAEastern Africa | -0.73738 | 42.8025 |
| 159 | BLREastern Europe | -0.74042 | 42.7500 |
| 160 | MMRSouth-eastern Asia | -0.74459 | 42.6783 |
| 161 | NERWestern Africa | -0.77255 | 42.1971 |
| 162 | LAOSouth-eastern Asia | -0.78183 | 42.0372 |
| 163 | CMRMiddle Africa | -0.78213 | 42.0322 |
| 164 | ETHEastern Africa | -0.83328 | 41.1516 |
| 165 | TJKCentral Asia | -0.83487 | 41.1241 |
| 166 | MRTWestern Africa | -0.83573 | 41.1094 |
| 167 | STPMiddle Africa | -0.84086 | 41.0211 |
| 168 | GINWestern Africa | -0.84384 | 40.9698 |
| 169 | DJIEastern Africa | -0.84598 | 40.9330 |
| 170 | MDGEastern Africa | -0.84666 | 40.9212 |
| 171 | FSMMicronesia | -0.86226 | 40.6526 |
| 172 | TLSSouth-eastern Asia | -0.86858 | 40.5440 |
| 173 | GABMiddle Africa | -0.88267 | 40.3014 |
| 174 | BGDSouthern Asia | -0.88872 | 40.1973 |
| 175 | MHLMicronesia | -0.89135 | 40.1518 |
| 176 | NGAWestern Africa | -0.90116 | 39.9830 |
| 177 | SLEWestern Africa | -0.90744 | 39.8749 |
| 178 | SLBMelanesia | -0.93965 | 39.3204 |
| 179 | LBRWestern Africa | -0.96545 | 38.8763 |
| 180 | AGOMiddle Africa | -1.00889 | 38.1285 |
| 181 | BOLSouth America | -1.02014 | 37.9348 |
| 182 | BDIEastern Africa | -1.02536 | 37.8450 |
| 183 | UZBCentral Asia | -1.11091 | 36.3723 |
| 184 | DZANorthern Africa | -1.12212 | 36.1793 |
| 185 | TCDMiddle Africa | -1.13022 | 36.0398 |
| 186 | HTICaribbean | -1.23210 | 34.2860 |
| 187 | CUBCaribbean | -1.24575 | 34.0510 |
| 188 | IRQWestern Asia | -1.27425 | 33.5604 |
| 189 | COMEastern Africa | -1.29277 | 33.2416 |
| 190 | GNBWestern Africa | -1.32136 | 32.7494 |
| 191 | AFGSouthern Asia | -1.33995 | 32.4293 |
| 192 | COGMiddle Africa | -1.35200 | 32.2219 |
| 193 | ZWEEastern Africa | -1.35455 | 32.1780 |
| 194 | CAFMiddle Africa | -1.36562 | 31.9876 |
| 195 | CODMiddle Africa | -1.39223 | 31.5295 |
| 196 | IRNSouthern Asia | -1.39932 | 31.4074 |
| 197 | YEMWestern Asia | -1.51014 | 29.4996 |
| 198 | GNQMiddle Africa | -1.52872 | 29.1798 |
| 199 | SDNNorthern Africa | -1.54234 | 28.9453 |
| 200 | SYRWestern Asia | -1.66726 | 26.7948 |
| 201 | TKMCentral Asia | -1.78275 | 24.8067 |
| 202 | SOMEastern Africa | -1.88633 | 23.0236 |
| 203 | SSDEastern Africa | -1.99572 | 21.1406 |
| 204 | PRKEastern Asia | -1.99671 | 21.1234 |
| 205 | ERIEastern Africa | -2.00352 | 21.0063 |
| 206 | LBYNorthern Africa | -2.02588 | 20.6212 |
| 207 | VENSouth America | -2.10391 | 19.2780 |
02In 2020
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore2.09986
- 2
Denmark1.96377
- 3
Finland1.94928
- 4
New Zealand1.92749
- 5
Hong Kong1.81761
Lowest
- 207
Venezuela-2.10391
- 206
Libya-2.02588
- 205
Eritrea-2.00352
- 204
North Korea-1.99671
- 203
South Sudan-1.99572
A higher value is the better result. The middle country reads -0.08239. “Shared” marks a value another country also holds.
Each measure’s ends
032019 → 2020
Since 2019
What changed between 2019 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 207values changed, of 207 in both
- 50 · 157rose · fell
- 0unchanged
Rose most
American Samoa-0.07963 → 0.38887+0.46850
Guam-0.07963 → 0.38887+0.46850
Malta0.89402 → 1.12504+0.23102
Togo-0.64559 → -0.50793+0.13766
Myanmar-0.87723 → -0.74459+0.13264
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.
203 distinct values among 207
Values are stored exactly as published, to 18 decimals. 3 countries share 0.86446. 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-2020-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 (2020). Regulatory Quality, 2020 [data set], describing 2020. As held by Nations Inquiry, https://nationsinquiry.com/datasets/regulatory-quality/2020
0627 held
Other years
‹ The year before
Regulatory Quality, 2019207 countries
The year after ›
Regulatory Quality, 2021207 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, 2020: questions and answers
Which country has the highest regulatory quality in Regulatory Quality, 2020?
Singapore, at 2.09986, of the 207 countries in the file.
What year does Regulatory Quality, 2020 describe?
2020.
How many countries does Regulatory Quality, 2020 cover?
207.
Where can I download Regulatory Quality, 2020?
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, 2020 the newest?
No. The newest held here is Regulatory Quality, 2025.