Data for 2005
Regulatory Quality, 2005
Figures for 2005, as World Bank Group published them · stored as published, never rewritten
Regulatory Quality, 2005 covers 200 countries on 2 measures. Hong Kong is highest, at 2.08486; Myanmar is lowest, at -2.31479. The middle country reads -0.20875. Against 2004, 198 values changed (146 up, 52 down), 2 countries joined.
Regulatory Quality · Data for 2005
HighestHong Kong
2.08486LowestMyanmar
-2.31479Shaded 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, 2005, 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 200 countries · select a heading to sort
| derived | |||
|---|---|---|---|
| 1 | HKGEastern Asia | 2.08486 | 91.386 |
| 2 | DNKNorthern Europe | 2.03540 | 90.535 |
| 3 | NLDWestern Europe | 2.02374 | 90.334 |
| 4 | FINNorthern Europe | 1.98095 | 89.598 |
| 5 | LUXWestern Europe | 1.93800 | 88.858 |
| 6 | SGPSouth-eastern Asia | 1.91457 | 88.455 |
| 7 | GBRNorthern Europe | 1.89030 | 88.037 |
| 8 | IRLNorthern Europe | 1.88726 | 87.985 |
| 9 | NZLAustralia and New Zealand | 1.86573 | 87.614 |
| 10 | LIEWestern Europe | 1.81829 | 86.798 |
| 11 | AUSAustralia and New Zealand | 1.81493 | 86.740 |
| 12 | ISLNorthern Europe | 1.81020 | 86.658 |
| 13 | CANNorthern America | 1.79223 | 86.349 |
| 14 | CHEWestern Europe | 1.76963 | 85.960 |
| 15 | AUTWestern Europe | 1.74808 | 85.589 |
| 16 | SWENorthern Europe | 1.73819 | 85.419 |
| 17 | USANorthern America | 1.71456 | 85.012 |
| 18 | NORNorthern Europe | 1.68107 | 84.435 |
| 19 | ANDSouthern Europe | 1.63994 | 83.727 |
| 20 | CHLSouth America | 1.59995 | 83.039 |
| 21 | DEUWestern Europe | 1.53108 | 81.853 |
| 22 | ESTNorthern Europe | 1.47441 | 80.878 |
| =23 | BMUNorthern America | 1.46160 | 80.657 |
| =23 | CYMCaribbean | 1.46160 | 80.657 |
| 25 | ESPSouthern Europe | 1.45356 | 80.519 |
| 26 | BELWestern Europe | 1.45249 | 80.500 |
| 27 | FRAWestern Europe | 1.35629 | 78.844 |
| 28 | CYPWestern Asia | 1.31942 | 78.210 |
| =29 | AIACaribbean | 1.28325 | 77.587 |
| =29 | MACEastern Asia | 1.28325 | 77.587 |
| =29 | VIRCaribbean | 1.28325 | 77.587 |
| 32 | TWNEastern Asia | 1.27378 | 77.424 |
| 33 | HUNEastern Europe | 1.27249 | 77.402 |
| 34 | PRTSouthern Europe | 1.25150 | 77.040 |
| 35 | BRBCaribbean | 1.23737 | 76.797 |
| 36 | JPNEastern Asia | 1.23007 | 76.672 |
| 37 | BHSCaribbean | 1.22493 | 76.583 |
| 38 | SVKEastern Europe | 1.19549 | 76.076 |
| 39 | CZEEastern Europe | 1.18624 | 75.917 |
| 40 | BRNSouth-eastern Asia | 1.17562 | 75.734 |
| 41 | MLTSouthern Europe | 1.13172 | 74.978 |
| =42 | ABWCaribbean | 1.10491 | 74.517 |
| =42 | PRICaribbean | 1.10491 | 74.517 |
| 44 | KNACaribbean | 1.10349 | 74.492 |
| 45 | LTUNorthern Europe | 1.09281 | 74.309 |
| 46 | LVANorthern Europe | 0.99585 | 72.639 |
| 47 | ITASouthern Europe | 0.94000 | 71.678 |
| 48 | ISRWestern Asia | 0.90937 | 71.151 |
| 49 | GRCSouthern Europe | 0.85919 | 70.287 |
| 50 | KOREastern Asia | 0.85314 | 70.183 |
| 51 | POLEastern Europe | 0.83558 | 69.881 |
| 52 | SVNSouthern Europe | 0.83370 | 69.848 |
| 53 | BWASouthern Africa | 0.80313 | 69.322 |
| 54 | BHRWestern Asia | 0.77577 | 68.851 |
| 55 | GUMMicronesia | 0.74821 | 68.377 |
| 56 | OMNWestern Asia | 0.72233 | 67.931 |
| 57 | CRICentral America | 0.70378 | 67.612 |
| 58 | LCACaribbean | 0.65555 | 66.781 |
| 59 | BGREastern Europe | 0.64705 | 66.635 |
| 60 | TTOCaribbean | 0.63801 | 66.479 |
| 61 | ZAFSouthern Africa | 0.61508 | 66.085 |
| 62 | VCTCaribbean | 0.57198 | 65.343 |
| 63 | ASMPolynesia | 0.56987 | 65.306 |
| 64 | AREWestern Asia | 0.53879 | 64.771 |
| 65 | MYSSouth-eastern Asia | 0.52215 | 64.485 |
| 66 | COKPolynesia | 0.51937 | 64.437 |
| 67 | FSMMicronesia | 0.48999 | 63.931 |
| 68 | MUSEastern Africa | 0.47715 | 63.710 |
| 69 | HRVSouthern Europe | 0.41398 | 62.623 |
| 70 | SLVCentral America | 0.40225 | 62.421 |
| 71 | MEXCentral America | 0.38654 | 62.150 |
| 72 | DMACaribbean | 0.35508 | 61.609 |
| 73 | URYSouth America | 0.33069 | 61.189 |
| 74 | ATGCaribbean | 0.32879 | 61.156 |
| 75 | KWTWestern Asia | 0.30849 | 60.807 |
| 76 | PANCentral America | 0.30596 | 60.763 |
| 77 | JORWestern Asia | 0.26750 | 60.101 |
| 78 | THASouth-eastern Asia | 0.25210 | 59.836 |
| 79 | WSMPolynesia | 0.24857 | 59.775 |
| 80 | JAMCaribbean | 0.22867 | 59.433 |
| 81 | PHLSouth-eastern Asia | 0.17315 | 58.477 |
| 82 | ARMWestern Asia | 0.15449 | 58.156 |
| 83 | GRDCaribbean | 0.13819 | 57.875 |
| 84 | BRASouth America | 0.12088 | 57.577 |
| 85 | TURWestern Asia | 0.10834 | 57.361 |
| 86 | MDVSouthern Asia | 0.10574 | 57.317 |
| 87 | NAMSouthern Africa | 0.09316 | 57.100 |
| 88 | QATWestern Asia | 0.08626 | 56.981 |
| 89 | COLSouth America | 0.06192 | 56.562 |
| 90 | BLZCentral America | 0.04929 | 56.345 |
| 91 | PERSouth America | 0.02801 | 55.978 |
| 92 | ROUEastern Europe | -0.00366 | 55.433 |
| 93 | SAUWestern Asia | -0.00845 | 55.351 |
| 94 | MNGEastern Asia | -0.10824 | 53.633 |
| 95 | LKASouthern Asia | -0.14854 | 52.939 |
| 96 | BTNSouthern Asia | -0.14971 | 52.919 |
| 97 | MKDSouthern Europe | -0.15050 | 52.905 |
| 98 | UGAEastern Africa | -0.15824 | 52.772 |
| 99 | NICCentral America | -0.17814 | 52.430 |
| 100 | TUNNorthern Africa | -0.18906 | 52.242 |
| 101 | INDSouthern Asia | -0.22844 | 51.564 |
| 102 | RUSEastern Europe | -0.22999 | 51.537 |
| 103 | TUVPolynesia | -0.24021 | 51.361 |
| 104 | LBNWestern Asia | -0.24092 | 51.349 |
| 105 | SYCEastern Africa | -0.28665 | 50.562 |
| 106 | DOMCaribbean | -0.28959 | 50.511 |
| 107 | BOLSouth America | -0.29654 | 50.391 |
| 108 | CHNEastern Asia | -0.30220 | 50.294 |
| 109 | ALBSouthern Europe | -0.30487 | 50.248 |
| 110 | GHAWestern Africa | -0.30986 | 50.162 |
| 111 | SENWestern Africa | -0.31142 | 50.135 |
| 112 | MRTWestern Africa | -0.31971 | 49.993 |
| 113 | GEOWestern Asia | -0.32166 | 49.959 |
| 114 | BIHSouthern Europe | -0.35227 | 49.432 |
| 115 | VUTMelanesia | -0.35963 | 49.305 |
| 116 | CPVWestern Africa | -0.36706 | 49.177 |
| 117 | KENEastern Africa | -0.39787 | 48.647 |
| 118 | HNDCentral America | -0.39909 | 48.626 |
| 119 | MLIWestern Africa | -0.40351 | 48.550 |
| 120 | UKREastern Europe | -0.40587 | 48.509 |
| 121 | IDNSouth-eastern Asia | -0.41898 | 48.284 |
| 122 | MDGEastern Africa | -0.43194 | 48.061 |
| 123 | GTMCentral America | -0.43896 | 47.940 |
| 124 | FJIMelanesia | -0.44272 | 47.875 |
| 125 | GABMiddle Africa | -0.45027 | 47.745 |
| 126 | TZAEastern Africa | -0.45754 | 47.620 |
| 127 | EGYNorthern Africa | -0.46028 | 47.573 |
| 128 | KHMSouth-eastern Asia | -0.46363 | 47.515 |
| 129 | KGZCentral Asia | -0.47457 | 47.327 |
| 130 | BENWestern Africa | -0.47605 | 47.301 |
| 131 | MARNorthern Africa | -0.48967 | 47.067 |
| 132 | NPLSouthern Asia | -0.51221 | 46.679 |
| 133 | VNMSouth-eastern Asia | -0.51469 | 46.636 |
| 134 | MDAEastern Europe | -0.54737 | 46.073 |
| 135 | GUYSouth America | -0.54804 | 46.062 |
| 136 | AZEWestern Asia | -0.55610 | 45.923 |
| 137 | MOZEastern Africa | -0.56042 | 45.849 |
| 138 | MHLMicronesia | -0.57212 | 45.647 |
| 139 | MWIEastern Africa | -0.57611 | 45.579 |
| 140 | ARGSouth America | -0.57706 | 45.562 |
| 141 | PSEWestern Asia | -0.60748 | 45.039 |
| 142 | PAKSouthern Asia | -0.60835 | 45.024 |
| 143 | KAZCentral Asia | -0.60935 | 45.007 |
| 144 | ZMBEastern Africa | -0.61410 | 44.925 |
| 145 | GMBWestern Africa | -0.63186 | 44.619 |
| 146 | DZANorthern Africa | -0.63487 | 44.567 |
| 147 | SWZSouthern Africa | -0.63493 | 44.566 |
| 148 | LSOSouthern Africa | -0.64232 | 44.439 |
| 149 | DJIEastern Africa | -0.64771 | 44.346 |
| 150 | BFAWestern Africa | -0.65283 | 44.258 |
| 151 | SURSouth America | -0.69406 | 43.548 |
| 152 | SRBSouthern Europe | -0.72261 | 43.057 |
| 153 | YEMWestern Asia | -0.73526 | 42.839 |
| 154 | NERWestern Africa | -0.74336 | 42.699 |
| 155 | PRYSouth America | -0.76103 | 42.395 |
| 156 | RWAEastern Africa | -0.76310 | 42.360 |
| 157 | STPMiddle Africa | -0.79835 | 41.753 |
| 158 | CMRMiddle Africa | -0.80624 | 41.617 |
| 159 | ECUSouth America | -0.83075 | 41.195 |
| 160 | TONPolynesia | -0.84941 | 40.874 |
| 161 | PNGMelanesia | -0.88107 | 40.329 |
| 162 | TJKCentral Asia | -0.94619 | 39.208 |
| 163 | ETHEastern Africa | -0.96068 | 38.958 |
| 164 | KIRMicronesia | -0.97162 | 38.770 |
| 165 | GINWestern Africa | -0.98495 | 38.541 |
| 166 | BGDSouthern Asia | -1.02503 | 37.851 |
| 167 | TLSSouth-eastern Asia | -1.03194 | 37.732 |
| 168 | NGAWestern Africa | -1.05058 | 37.411 |
| 169 | VENSouth America | -1.09072 | 36.720 |
| 170 | CIVWestern Africa | -1.11155 | 36.361 |
| 171 | SYRWestern Asia | -1.14396 | 35.803 |
| 172 | GNBWestern Africa | -1.15276 | 35.652 |
| 173 | SLEWestern Africa | -1.16859 | 35.379 |
| 174 | SDNNorthern Africa | -1.17176 | 35.325 |
| 175 | SLBMelanesia | -1.18104 | 35.165 |
| 176 | TGOWestern Africa | -1.19155 | 34.984 |
| 177 | BDIEastern Africa | -1.21310 | 34.613 |
| 178 | LAOSouth-eastern Asia | -1.23781 | 34.188 |
| 179 | COGMiddle Africa | -1.23949 | 34.159 |
| 180 | BLREastern Europe | -1.24573 | 34.051 |
| 181 | TCDMiddle Africa | -1.27238 | 33.593 |
| 182 | IRNSouthern Asia | -1.30191 | 33.084 |
| 183 | CAFMiddle Africa | -1.33805 | 32.462 |
| 184 | LBYNorthern Africa | -1.40718 | 31.272 |
| 185 | HTICaribbean | -1.40784 | 31.261 |
| 186 | AGOMiddle Africa | -1.41763 | 31.092 |
| 187 | CUBCaribbean | -1.45226 | 30.496 |
| 188 | IRQWestern Asia | -1.47237 | 30.150 |
| 189 | CODMiddle Africa | -1.47662 | 30.077 |
| 190 | ERIEastern Africa | -1.49439 | 29.771 |
| 191 | COMEastern Africa | -1.54978 | 28.817 |
| 192 | AFGSouthern Asia | -1.63830 | 27.293 |
| 193 | UZBCentral Asia | -1.64128 | 27.242 |
| 194 | GNQMiddle Africa | -1.64411 | 27.193 |
| 195 | LBRWestern Africa | -1.70647 | 26.120 |
| 196 | SOMEastern Africa | -1.91204 | 22.581 |
| 197 | ZWEEastern Africa | -1.99934 | 21.078 |
| 198 | PRKEastern Asia | -2.06884 | 19.882 |
| 199 | TKMCentral Asia | -2.10536 | 19.253 |
| 200 | MMRSouth-eastern Asia | -2.31479 | 15.648 |
02In 2005
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Hong Kong2.08486
- 2
Denmark2.03540
- 3
Netherlands2.02374
- 4
Finland1.98095
- 5
Luxembourg1.93800
Lowest
- 200
Myanmar-2.31479
- 199
Turkmenistan-2.10536
- 198
North Korea-2.06884
- 197
Zimbabwe-1.99934
- 196
Somalia-1.91204
A higher value is the better result. The middle country reads -0.20875. “Shared” marks a value another country also holds.
Each measure’s ends
032004 → 2005
Since 2004
What changed between 2004 and this one: who joined or left, and how far the headline moved.
- +2 / −0countries joined / left
- 198values changed, of 198 in both
- 146 · 52rose · fell
- 0unchanged
Rose most
Saint Kitts and Nevis0.04415 → 1.10349+1.05934
Saint Lucia0.09499 → 0.65555+0.56055
United States Virgin Islands0.74077 → 1.28325+0.54248
Saint Vincent and the Grenadines0.03243 → 0.57198+0.53955
Liechtenstein1.28842 → 1.81829+0.52987
Fell most
Kiribati-0.48423 → -0.97162−0.48739
Tonga-0.55629 → -0.84941−0.29312
Chad-1.01105 → -1.27238−0.26133
Turkmenistan-1.85454 → -2.10536−0.25082
Republic of the Congo-1.00698 → -1.23949−0.23252
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.
196 distinct values among 200
Values are stored exactly as published, to 19 decimals. 3 countries share 1.28325. 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 200 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
200 rows · 9.3 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download regulatory-quality-2005-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 (2005). Regulatory Quality, 2005 [data set], describing 2005. As held by Nations Inquiry, https://nationsinquiry.com/datasets/regulatory-quality/2005
0627 held
Other years
‹ The year before
Regulatory Quality, 2004198 countries
The year after ›
Regulatory Quality, 2006201 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, 2005: questions and answers
Which country has the highest regulatory quality in Regulatory Quality, 2005?
Hong Kong, at 2.08486, of the 200 countries in the file.
What year does Regulatory Quality, 2005 describe?
2005.
How many countries does Regulatory Quality, 2005 cover?
200.
Where can I download Regulatory Quality, 2005?
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, 2005 the newest?
No. The newest held here is Regulatory Quality, 2025.