Abstract
This paper measures and analyses well-being in the 349 regions in OECD countries. It is argued that the multidimensional nature of well-being and the disparate policy priorities of nations/regions calls for a reconciliatory performance evaluation framework, for which this paper advocates the use of Benefit-of-the-Doubt (BoD) weighting. In particular, using the BoD-model, three multidimensional measures of regional well-being are computed: a material condition measure, a quality of life index and a subjective life satisfaction measure. To account for the presence of certain exogenous conditions in the regional policy environments, the conditional robust order-m version of the BoD-model is applied. Results show considerable between- and within-country disparity in regional performances across the three domains of well-being. Countries such as Australia, Canada, Norway and Iceland show consistently high levels of regional well-being. Consistently low performance levels are observed for Chile, Turkey and Poland.
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Notes
For theoretical studies exploring the issue of measuring and/or comparing well-being using welfare-theoretic foundations, we refer the interested reader to Nussbaum and Sen (1993), Sen (1993, 1998), Diener (2002, 2006), Diener and Suh (1997), Costanza et al. (2009), D’Acci (2011), Boarini and D'Ercole (2013) and Robeyns (2005).
Note, however, that alternative ways of transforming these sub-indicators are possible to obtain indicator data with higher (lower) data values showing good (bad) performances. For instance, as pointed out by an anonymous referee, opting for the complement of the unemployment rate would be an equally valid way to 'correct the sign' of this variable.
As an alternative to transforming the data (e.g., by taking the inverse) so that for all sub-indicators it holds that higher values represent better performances (as transformations might impact the results, see e.g. Thanassoulis et al. 2008), one could also use the directional distance version of the BoD-model of Zanella et al. (2015), which allows to treat both desirable and undesirable indicators in the construction of CIs. An interesting feature of this directional distance version of the BoD-model is that it does not require a transformation of the undesirable sub-indicators in the computations of the CIs. Nevertheless, while the directional distance version of the BoD-model of Zanella et al. (2015) solves the issue of subjectivity in the transformation/normalization of the sub-indicators, it does involve some subjectivity in the choice of the direction vector which specifies the direction in which the improvements in the desirable and undesirable indicators should be realized. Still, as topic for further research, it would be interesting to re-perform the analysis with the conditional robust order-m directional distance version of the BoD-model of Zanella et al. (2015) (see, e.g., Rogge et al. 2017 for a recent application of this model).
The term ‘importance weights’ refers to the product of the original country performance value of the sub-indicator \({y}_{r,i}\) and the assigned BoD-weight \({w}_{r,i}\), in DEA/BoD literature referred to as virtual factors or pie shares (pure \({w}_{r,i}\)’s define trade-offs rather than true importance weights, see e.g. Becker et al. 2017). As discussed by Cherchye, Moesen, Rogge and Van Puyenbroeck, the conceptual interpretation of the virtual factors is straightforward with each pie share (\({w}_{r,i}\) x \({y}_{r,i}\)) indicating how much each indicator contributes to the overall composite indicator of region r.
In view of the pie share interpretation, discussed above, restrictions on sub-indicator shares allow for an easy and natural representation of prior information about the importance of the CI’s components. As noted by Cherchye et al. (2007), such pie share restrictions may be especially attractive in view of the fact that expert opinion is often collected by a ‘budget allocation’ approach, in which experts are asked to distribute (100) points over the different dimensions to indicate relative importance.
Though, practical experience teaches that strong consent, even between experts thoroughly acquainted with the object of study, is unlikely to come about on this matter.
As a robustness check, the BoD-estimations were also performed with lower weight bound values set equal to 5%. Overall, this implied only minor differences in the resulting CIs.
As to the choice of the parameter \(m\), a sensitivity analysis for different m-values pointed out that use of \(m\) = 40 is warranted.
For a more comprehensive discussion of the visualisation procedure, see Daraio and Simar (2007) and Badin, Daraio and Simar (2010). For a more detailed explanation of the unconditional and the conditional order-m method and a discussion of its attractive statistical properties (which carry over to our setting), we refer to the relevant methodological papers (see also Jeong et al. 2010).
The partial regression plots are generated from a non-parametric regression analysis in which the ratio \({CI}_{r}^{m}/{CI}_{r}^{m,z}\) (the ratio of the robust, unconditional CI-score and the robust, conditional CI-score) is regressed on the regional background conditions. Note that this method slightly deviates from the methodology suggested by Daraio and Simar (2005, 2007) to non-parametrically regress the ratio of \({CI}_{r}^{m,z}/{CI}_{r}^{m}\) on the exogenous background variables. The reason for using the inverse ratio is that this simplifies the interpretation of the estimated relationships. In particular, whereas the Daraio–Simar method requires one to estimate positive (negative) regression coefficients as negative (positive) associations between background conditions and the composite performance scores, the use of the inverse ratio enables one to interpret estimated positive (negative) regression coefficients as positive (negative) associations. (for more technical specificities, the interested reader is referred to Daraio and Simar 2007).
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Appendices
Appendix 1: The Non-robust Unconditional CIr, Robust Unconditional CIrm, and Robust Conditional CIrm,z: OECD Country Rank Changes
Appendix 2: The Non-robust Unconditional, Robust Unconditional and Robust Conditional BoD CI-Scores and Ranks: Regional Results for the OECD Countries
Material conditions | Quality of life | Subjective well-being | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Australia | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
New South Wales | 0.8102 | 86 | 0.8734 | 92 | 0.8905 | 112 | 1.1435 | 9 | 1.0519 | 8 | 0.9509 | 77 | 0.9509 | 77 | 0.9658 | 81 | 0.9678 | 97 |
Victoria | 0.8014 | 97 | 0.8590 | 103 | 0.8601 | 133 | 1.0984 | 13 | 1.0453 | 11 | 0.9651 | 41 | 0.9651 | 41 | 0.9804 | 43 | 0.9828 | 60 |
Queensland | 0.8218 | 71 | 0.8849 | 79 | 0.8997 | 103 | 1.2053 | 5 | 1.1185 | 4 | 0.9479 | 86 | 0.9479 | 86 | 0.9635 | 86 | 0.9651 | 106 |
South Australia | 0.8025 | 94 | 0.8655 | 100 | 0.8790 | 120 | 1.0755 | 17 | 1.0138 | 28 | 0.9506 | 78 | 0.9506 | 78 | 0.9667 | 78 | 0.9703 | 89 |
Western Australia | 0.8779 | 27 | 0.9475 | 39 | 0.8871 | 116 | 1.1228 | 12 | 1.0055 | 54 | 0.9420 | 99 | 0.9420 | 99 | 0.9564 | 104 | 0.9446 | 173 |
Tasmania | 0.7871 | 110 | 0.8478 | 112 | 0.8862 | 118 | 1.1567 | 9 | 1.0553 | 8 | 0.9648 | 43 | 0.9648 | 43 | 0.9854 | 32 | 0.9842 | 56 |
Northern Territory | 0.8423 | 57 | 0.9211 | 57 | 0.9996 | 34 | 0.9183 | 235 | 0.8900 | 303 | 0.9882 | 10 | 0.9882 | 10 | 1.0013 | 15 | 1.0000 | 26 |
Australian Capital Territory | 1.0000 | 1 | 1.1539 | 4 | 1.0459 | 7 | 1.4174 | 4 | 1.0649 | 7 | 0.9831 | 18 | 0.9831 | 18 | 1.0003 | 18 | 1.0010 | 13 |
Austria | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Burgenland | 0.7655 | 129 | 0.8272 | 125 | 0.7961 | 190 | 0.9692 | 132 | 0.9122 | 286 | 0.9380 | 114 | 0.9380 | 114 | 0.9533 | 119 | 0.9557 | 142 |
Lower Austria | 0.7909 | 108 | 0.8491 | 111 | 0.8904 | 114 | 0.9514 | 181 | 0.9544 | 221 | 0.9321 | 135 | 0.9321 | 135 | 0.9483 | 135 | 0.9505 | 158 |
Vienna | 0.6938 | 185 | 0.7420 | 187 | 0.7634 | 209 | 0.9368 | 210 | 0.9486 | 237 | 0.9243 | 153 | 0.9243 | 153 | 0.9401 | 154 | 0.9492 | 164 |
Carinthia | 0.7533 | 139 | 0.8091 | 140 | 0.8057 | 186 | 0.9488 | 185 | 0.9543 | 222 | 0.9447 | 94 | 0.9447 | 94 | 0.9609 | 94 | 0.9674 | 102 |
Styria | 0.7709 | 123 | 0.8274 | 124 | 0.8382 | 151 | 1.0228 | 35 | 1.0376 | 16 | 0.9522 | 74 | 0.9522 | 74 | 0.9687 | 73 | 0.9736 | 78 |
Upper Austria | 0.8120 | 86 | 0.8806 | 82 | 0.9019 | 102 | 0.9689 | 133 | 0.9695 | 180 | 0.9554 | 60 | 0.9554 | 60 | 0.9722 | 63 | 0.9716 | 85 |
Salzburg | 0.8005 | 99 | 0.8798 | 84 | 0.9048 | 98 | 0.9724 | 125 | 0.9825 | 145 | 0.9479 | 87 | 0.9479 | 87 | 0.9628 | 92 | 0.9642 | 109 |
Tyrol | 0.7977 | 101 | 0.8821 | 81 | 0.8984 | 106 | 0.9617 | 154 | 0.9673 | 185 | 0.9742 | 26 | 0.9742 | 26 | 0.9893 | 26 | 0.9928 | 45 |
Vorarlberg | 0.8156 | 80 | 0.9075 | 70 | 0.8947 | 109 | 0.9779 | 110 | 1.0034 | 60 | 0.9329 | 133 | 0.9329 | 133 | 0.9474 | 138 | 0.9513 | 157 |
Belgium | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Brussels Capital Region | 0.6327 | 242 | 0.6827 | 237 | 0.7369 | 234 | 0.9327 | 215 | 1.0026 | 66 | 0.9087 | 197 | 0.9087 | 197 | 0.9231 | 200 | 0.9402 | 188 |
Flemish Region | 0.7522 | 140 | 0.8203 | 131 | 0.8691 | 128 | 0.9767 | 116 | 0.9964 | 106 | 0.9541 | 63 | 0.9541 | 63 | 0.9696 | 70 | 0.9712 | 86 |
Wallonia | 0.6908 | 190 | 0.7493 | 179 | 0.7484 | 223 | 0.9272 | 220 | 0.9187 | 278 | 0.9087 | 197 | 0.9087 | 197 | 0.9223 | 203 | 0.9240 | 223 |
Canada | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Newfoundland and Labrador | 0.8190 | 77 | 0.8898 | 76 | 0.8832 | 120 | 1.0423 | 27 | 1.0389 | 15 | 0.9847 | 15 | 0.9847 | 15 | 1.0150 | 8 | 1.0084 | 4 |
Prince Edward Island | 0.7758 | 118 | 0.8439 | 114 | 0.8559 | 136 | 1.3021 | 5 | 1.1445 | 3 | 0.9526 | 72 | 0.9526 | 72 | 0.9842 | 36 | 0.9753 | 76 |
Nova Scotia | 0.8028 | 94 | 0.8718 | 95 | 0.8722 | 125 | 1.0467 | 25 | 1.0148 | 26 | 0.9414 | 102 | 0.9414 | 102 | 0.9594 | 99 | 0.9624 | 111 |
New Brunswick | 0.7984 | 100 | 0.8687 | 97 | 0.8656 | 130 | 1.0299 | 30 | 1.0143 | 28 | 0.9479 | 87 | 0.9479 | 87 | 0.9628 | 91 | 0.9676 | 101 |
Quebec | 0.7505 | 141 | 0.8114 | 138 | 0.8238 | 170 | 1.0095 | 48 | 0.9994 | 96 | 0.9546 | 62 | 0.9546 | 62 | 0.9713 | 65 | 0.9744 | 77 |
Ontario | 0.7649 | 131 | 0.8271 | 126 | 0.8358 | 154 | 1.0065 | 53 | 1.0033 | 62 | 0.9367 | 121 | 0.9367 | 121 | 0.9534 | 117 | 0.9555 | 146 |
Manitoba | 0.7571 | 136 | 0.8187 | 132 | 0.8448 | 145 | 0.9240 | 225 | 0.9292 | 260 | 0.9745 | 25 | 0.9745 | 25 | 0.9918 | 22 | 0.9941 | 40 |
Saskatchewan | 0.8377 | 59 | 0.9419 | 43 | 0.8652 | 131 | 0.9452 | 192 | 0.9408 | 244 | 0.9255 | 152 | 0.9255 | 152 | 0.9474 | 137 | 0.9269 | 217 |
Alberta | 0.8541 | 39 | 0.9259 | 53 | 1.0000 | 24 | 0.9936 | 77 | 0.9995 | 95 | 0.9388 | 109 | 0.9388 | 109 | 0.9576 | 103 | 0.9560 | 141 |
British Columbia | 0.7668 | 126 | 0.8340 | 119 | 0.8337 | 155 | 1.0534 | 24 | 1.0317 | 17 | 0.9793 | 20 | 0.9793 | 20 | 0.9961 | 20 | 0.9979 | 34 |
Chile | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Tarapacá | 0.6472 | 226 | 0.6941 | 224 | 0.6512 | 292 | 0.8686 | 298 | 0.8594 | 318 | 0.8399 | 290 | 0.8399 | 290 | 0.8560 | 288 | 0.8410 | 320 |
Antofagasta | 0.6005 | 264 | 0.6458 | 267 | 0.6600 | 285 | 0.8851 | 280 | 0.8912 | 301 | 0.8941 | 231 | 0.8941 | 231 | 0.9104 | 228 | 0.9060 | 261 |
Atacama | 0.5946 | 268 | 0.6354 | 274 | 0.5990 | 327 | 0.8749 | 290 | 0.8613 | 316 | 0.8620 | 272 | 0.8620 | 272 | 0.8738 | 276 | 0.8643 | 305 |
Coquimbo | 0.6166 | 256 | 0.6589 | 256 | 0.6896 | 264 | 0.8702 | 296 | 0.8716 | 311 | 0.9095 | 196 | 0.9095 | 196 | 0.9226 | 202 | 0.9329 | 204 |
Valparaíso | 0.6151 | 257 | 0.6573 | 257 | 0.6859 | 267 | 0.9121 | 243 | 0.9111 | 289 | 0.8989 | 221 | 0.8989 | 221 | 0.9162 | 215 | 0.9262 | 220 |
O'Higgins | 0.6319 | 243 | 0.6767 | 242 | 0.7168 | 246 | 0.8315 | 314 | 0.8497 | 322 | 0.8255 | 300 | 0.8255 | 300 | 0.8394 | 301 | 0.8714 | 300 |
Maule | 0.6074 | 261 | 0.6511 | 263 | 0.7348 | 237 | 0.8299 | 315 | 0.9137 | 285 | 0.8021 | 316 | 0.8021 | 316 | 0.8277 | 310 | 0.8775 | 292 |
Bío-Bío | 0.5610 | 300 | 0.5977 | 304 | 0.6741 | 281 | 0.8657 | 301 | 1.0147 | 27 | 0.8320 | 294 | 0.8320 | 294 | 0.8457 | 295 | 0.8720 | 299 |
Araucanía | 0.6389 | 236 | 0.6844 | 233 | 0.7981 | 189 | 0.8451 | 312 | 1.0130 | 31 | 0.8408 | 288 | 0.8408 | 288 | 0.8538 | 289 | 0.9116 | 251 |
Los Lagos | 0.6828 | 199 | 0.7349 | 194 | 0.9991 | 35 | 0.8831 | 283 | 0.9995 | 94 | 0.8776 | 250 | 0.8776 | 250 | 0.8903 | 251 | 0.9468 | 168 |
Aysén | 0.7139 | 163 | 0.7687 | 162 | 0.7221 | 245 | 0.8477 | 311 | 0.8236 | 327 | 0.8956 | 229 | 0.8956 | 229 | 0.9285 | 187 | 0.9140 | 246 |
Magallanes y Antártica | 0.6696 | 213 | 0.7587 | 171 | 0.6858 | 268 | 0.9633 | 147 | 0.8739 | 310 | 0.8670 | 263 | 0.8670 | 263 | 0.8971 | 246 | 0.8920 | 274 |
Santiago Metropolitan | 0.6246 | 249 | 0.6694 | 247 | 0.6585 | 287 | 0.8832 | 282 | 0.8915 | 300 | 0.8773 | 251 | 0.8773 | 251 | 0.8923 | 249 | 0.8950 | 269 |
Czech Republic | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Prague | 0.7764 | 116 | 0.8663 | 99 | 0.8287 | 161 | 0.9832 | 98 | 0.9490 | 236 | 0.9144 | 186 | 0.9144 | 186 | 0.9279 | 189 | 0.9324 | 205 |
Central Bohemian Region | 0.7160 | 162 | 0.7640 | 166 | 0.7457 | 226 | 0.9651 | 144 | 0.9354 | 253 | 0.7992 | 321 | 0.7992 | 321 | 0.8126 | 320 | 0.8150 | 332 |
Southwest | 0.7070 | 169 | 0.7563 | 172 | 0.7743 | 201 | 0.9761 | 121 | 0.9723 | 175 | 0.8698 | 260 | 0.8698 | 260 | 0.8823 | 263 | 0.8839 | 281 |
Northwest | 0.6533 | 221 | 0.6948 | 223 | 0.6944 | 259 | 0.9023 | 261 | 0.9101 | 290 | 0.9017 | 212 | 0.9017 | 212 | 0.9141 | 219 | 0.9187 | 235 |
Northeast | 0.6913 | 189 | 0.7388 | 189 | 0.7623 | 211 | 0.9625 | 150 | 0.9724 | 173 | 0.9171 | 178 | 0.9171 | 178 | 0.9298 | 182 | 0.9315 | 208 |
Southeast | 0.6944 | 183 | 0.7435 | 185 | 0.7282 | 239 | 0.9680 | 136 | 0.9414 | 243 | 0.8991 | 219 | 0.8991 | 219 | 0.9116 | 225 | 0.9140 | 245 |
Central Moravia | 0.6663 | 214 | 0.7131 | 214 | 0.7240 | 241 | 0.9534 | 177 | 0.9632 | 196 | 0.9235 | 158 | 0.9235 | 158 | 0.9358 | 165 | 0.9408 | 184 |
Moravia-Silesia | 0.6460 | 227 | 0.6890 | 229 | 0.6793 | 274 | 0.9353 | 213 | 0.9375 | 250 | 0.8403 | 289 | 0.8403 | 289 | 0.8523 | 291 | 0.8529 | 312 |
Denmark | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Capital (DK) | 0.7734 | 121 | 0.8250 | 128 | 0.8544 | 137 | 0.9885 | 84 | 0.9997 | 92 | 0.9869 | 12 | 0.9869 | 12 | 1.0037 | 14 | 1.0060 | 7 |
Zealand | 0.7626 | 133 | 0.8181 | 133 | 0.8244 | 169 | 0.9767 | 115 | 0.9676 | 184 | 0.9614 | 46 | 0.9614 | 46 | 0.9787 | 47 | 0.9783 | 67 |
Southern Denmark | 0.7487 | 144 | 0.7993 | 147 | 0.8331 | 156 | 0.9762 | 119 | 0.9937 | 114 | 0.9718 | 28 | 0.9718 | 28 | 0.9879 | 27 | 0.9874 | 51 |
Central Jutland | 0.7594 | 134 | 0.8126 | 137 | 0.8429 | 146 | 0.9995 | 67 | 1.0098 | 41 | 0.9834 | 17 | 0.9834 | 17 | 0.9992 | 19 | 0.9995 | 29 |
Northern Jutland | 0.7680 | 125 | 0.8218 | 130 | 0.8500 | 142 | 1.0015 | 61 | 0.9603 | 205 | 0.9877 | 11 | 0.9877 | 11 | 1.0050 | 11 | 0.9997 | 28 |
Estonia | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
North Estonia | 0.7310 | 154 | 0.7803 | 156 | 0.8899 | 115 | 0.9762 | 120 | 1.0097 | 42 | 0.8735 | 257 | 0.8735 | 257 | 0.8853 | 259 | 0.9143 | 244 |
West Estonia | 0.6725 | 210 | 0.7173 | 210 | 0.8143 | 176 | 0.9484 | 186 | 1.0153 | 25 | 0.8293 | 295 | 0.8293 | 295 | 0.8402 | 300 | 0.8670 | 301 |
Central Estonia | 0.6809 | 202 | 0.7264 | 202 | 0.8255 | 165 | 0.8898 | 273 | 0.9624 | 198 | 0.8872 | 240 | 0.8872 | 240 | 0.8995 | 243 | 0.9282 | 214 |
Northeast Estonia | 0.5719 | 291 | 0.6077 | 294 | 0.6797 | 273 | 0.9054 | 254 | 0.9324 | 257 | 0.7949 | 324 | 0.7949 | 324 | 0.8063 | 325 | 0.8316 | 326 |
Southern Estonia | 0.6750 | 208 | 0.7225 | 205 | 0.8255 | 166 | 0.9365 | 211 | 0.9819 | 147 | 0.8481 | 283 | 0.8481 | 283 | 0.8597 | 284 | 0.8868 | 277 |
Finland | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Western Finland | 0.7217 | 159 | 0.7696 | 161 | 0.7668 | 205 | 1.0272 | 31 | 1.0201 | 21 | 0.9608 | 48 | 0.9608 | 48 | 0.9782 | 49 | 0.9841 | 57 |
Southern Finland | 0.7055 | 170 | 0.7554 | 173 | 0.7574 | 218 | 1.0157 | 41 | 1.0117 | 37 | 0.9582 | 52 | 0.9582 | 52 | 0.9766 | 53 | 0.9821 | 63 |
Eastern and Northern Finland | 0.6886 | 194 | 0.7348 | 195 | 0.7265 | 240 | 1.0166 | 40 | 1.0280 | 19 | 0.9576 | 55 | 0.9576 | 55 | 0.9743 | 58 | 0.9775 | 68 |
France | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Ile de France | 0.7033 | 174 | 0.7507 | 178 | 0.8318 | 159 | 1.0013 | 64 | 0.9975 | 104 | 0.9146 | 185 | 0.9146 | 185 | 0.9276 | 191 | 0.9298 | 212 |
Champagne-Ardenne | 0.6579 | 217 | 0.7037 | 215 | 0.7067 | 250 | 0.9384 | 207 | 0.9458 | 240 | 0.8620 | 271 | 0.8620 | 271 | 0.8750 | 272 | 0.8813 | 286 |
Picardy | 0.6522 | 222 | 0.6940 | 225 | 0.6931 | 260 | 0.9234 | 226 | 0.9324 | 258 | 0.9018 | 211 | 0.9018 | 211 | 0.9145 | 217 | 0.9203 | 231 |
Upper Normandy | 0.6559 | 218 | 0.6991 | 220 | 0.7362 | 235 | 0.9546 | 174 | 0.9658 | 187 | 0.9007 | 213 | 0.9007 | 213 | 0.9130 | 220 | 0.9156 | 241 |
Centre (FR) | 0.6879 | 195 | 0.7324 | 198 | 0.7589 | 217 | 0.9718 | 126 | 0.9534 | 227 | 0.8999 | 217 | 0.8999 | 217 | 0.9124 | 222 | 0.9143 | 243 |
Lower Normandy | 0.7045 | 172 | 0.7546 | 174 | 0.7600 | 214 | 0.9815 | 103 | 1.0036 | 57 | 0.9168 | 179 | 0.9168 | 179 | 0.9290 | 186 | 0.9356 | 198 |
Burgundy | 0.6821 | 200 | 0.7295 | 201 | 0.7230 | 244 | 0.9538 | 176 | 0.9619 | 201 | 0.9197 | 173 | 0.9197 | 173 | 0.9327 | 179 | 0.9356 | 199 |
Nord-Pas-de-Calais | 0.6182 | 254 | 0.6603 | 253 | 0.6488 | 295 | 0.9153 | 239 | 0.9207 | 272 | 0.9286 | 145 | 0.9286 | 145 | 0.9409 | 150 | 0.9418 | 179 |
Lorraine | 0.6535 | 220 | 0.6967 | 221 | 0.7007 | 253 | 0.9478 | 189 | 0.9510 | 234 | 0.9039 | 208 | 0.9039 | 208 | 0.9164 | 214 | 0.9235 | 224 |
Alsace | 0.6895 | 193 | 0.7366 | 192 | 0.7655 | 206 | 0.9498 | 183 | 0.9520 | 231 | 0.9243 | 154 | 0.9243 | 154 | 0.9374 | 159 | 0.9392 | 191 |
Franche-Comté | 0.6813 | 201 | 0.7249 | 203 | 0.7352 | 236 | 0.9846 | 93 | 0.9884 | 131 | 0.9313 | 137 | 0.9313 | 137 | 0.9440 | 143 | 0.9497 | 162 |
Pays de la Loire | 0.7074 | 168 | 0.7529 | 177 | 0.7685 | 204 | 1.0043 | 59 | 1.0042 | 55 | 0.9256 | 151 | 0.9256 | 151 | 0.9383 | 157 | 0.9432 | 175 |
Brittany | 0.7173 | 161 | 0.7681 | 163 | 0.8081 | 180 | 0.9992 | 68 | 0.9780 | 159 | 0.9259 | 150 | 0.9259 | 150 | 0.9402 | 153 | 0.9405 | 185 |
Poitou–Charentes | 0.6850 | 197 | 0.7316 | 200 | 0.7412 | 230 | 0.9836 | 96 | 0.9884 | 130 | 0.9144 | 186 | 0.9144 | 186 | 0.9277 | 190 | 0.9341 | 201 |
Aquitaine | 0.6927 | 188 | 0.7384 | 191 | 0.7589 | 216 | 1.0038 | 60 | 1.0037 | 56 | 0.9342 | 130 | 0.9342 | 130 | 0.9482 | 136 | 0.9518 | 156 |
Midi-Pyrénées | 0.7011 | 176 | 0.7478 | 182 | 0.7544 | 219 | 1.0176 | 38 | 1.0124 | 33 | 0.9332 | 132 | 0.9332 | 132 | 0.9465 | 139 | 0.9529 | 155 |
Limousin | 0.7100 | 166 | 0.7595 | 170 | 0.7474 | 224 | 0.9953 | 73 | 1.0074 | 48 | 0.9109 | 194 | 0.9109 | 194 | 0.9234 | 198 | 0.9228 | 225 |
Rhône-Alpes | 0.7026 | 175 | 0.7477 | 183 | 0.7627 | 210 | 0.9942 | 76 | 0.9916 | 120 | 0.9474 | 90 | 0.9474 | 90 | 0.9611 | 93 | 0.9652 | 106 |
Auvergne | 0.6957 | 181 | 0.7489 | 180 | 0.7457 | 227 | 0.9772 | 114 | 0.9937 | 115 | 0.9380 | 116 | 0.9380 | 116 | 0.9504 | 131 | 0.9573 | 130 |
Languedoc-Roussillon | 0.6330 | 241 | 0.6761 | 243 | 0.6833 | 270 | 0.9874 | 90 | 0.9826 | 144 | 0.9162 | 181 | 0.9162 | 181 | 0.9295 | 184 | 0.9303 | 210 |
Provence-Alpes-Côte d'Azur | 0.6854 | 196 | 0.7328 | 196 | 0.7233 | 243 | 0.9585 | 163 | 0.9724 | 174 | 0.9069 | 204 | 0.9069 | 204 | 0.9202 | 206 | 0.9221 | 229 |
Corsica | 0.5542 | 305 | 0.5947 | 307 | 0.6042 | 325 | 0.9000 | 265 | 0.8954 | 298 | 0.9866 | 13 | 0.9866 | 13 | 1.0010 | 17 | 1.0017 | 11 |
Germany | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Baden-Württemberg | 0.8547 | 38 | 0.9504 | 36 | 0.9461 | 79 | 0.9671 | 138 | 0.9515 | 232 | 0.9412 | 103 | 0.9412 | 103 | 0.9540 | 114 | 0.9564 | 137 |
Bavaria | 0.8674 | 35 | 0.9866 | 23 | 1.0085 | 16 | 0.9764 | 118 | 0.9811 | 151 | 0.9420 | 100 | 0.9420 | 100 | 0.9555 | 108 | 0.9587 | 126 |
Berlin | 0.7382 | 151 | 0.7844 | 155 | 0.8066 | 184 | 0.9624 | 151 | 0.9781 | 158 | 0.9326 | 134 | 0.9326 | 134 | 0.9451 | 142 | 0.9469 | 166 |
Brandenburg | 0.7957 | 105 | 0.8517 | 110 | 0.8767 | 123 | 0.9755 | 122 | 0.9738 | 170 | 0.9055 | 207 | 0.9055 | 207 | 0.9173 | 213 | 0.9200 | 233 |
Bremen | 0.7667 | 127 | 0.8258 | 127 | 0.9585 | 71 | 0.9391 | 205 | 0.9772 | 161 | 0.9412 | 103 | 0.9412 | 103 | 0.9549 | 110 | 0.9773 | 69 |
Hamburg | 0.8246 | 70 | 0.8857 | 79 | 1.0065 | 18 | 0.9812 | 104 | 1.0072 | 49 | 0.9528 | 71 | 0.9528 | 71 | 0.9669 | 78 | 0.9891 | 48 |
Hesse | 0.8095 | 89 | 0.8718 | 96 | 0.8980 | 107 | 0.9747 | 124 | 0.9749 | 168 | 0.9224 | 161 | 0.9224 | 161 | 0.9356 | 167 | 0.9387 | 192 |
Mecklenburg-Vorpommern | 0.7483 | 145 | 0.8006 | 146 | 0.8245 | 167 | 1.0011 | 65 | 1.0004 | 74 | 0.9305 | 139 | 0.9305 | 139 | 0.9433 | 147 | 0.9500 | 160 |
Lower Saxony | 0.8121 | 85 | 0.8791 | 88 | 0.8709 | 126 | 0.9716 | 127 | 0.9604 | 204 | 0.9372 | 118 | 0.9372 | 118 | 0.9499 | 133 | 0.9572 | 131 |
North Rhine-Westphalia | 0.7760 | 117 | 0.8328 | 120 | 0.8374 | 152 | 0.9628 | 149 | 0.9527 | 228 | 0.9409 | 107 | 0.9409 | 107 | 0.9542 | 113 | 0.9608 | 119 |
Rhineland-Palatinate | 0.8248 | 68 | 0.9048 | 71 | 0.8942 | 110 | 0.9677 | 137 | 0.9590 | 209 | 0.9401 | 108 | 0.9401 | 108 | 0.9534 | 118 | 0.9601 | 121 |
Saarland | 0.7968 | 103 | 0.8660 | 100 | 0.9971 | 41 | 0.9607 | 156 | 1.0032 | 63 | 0.9238 | 156 | 0.9238 | 156 | 0.9372 | 160 | 0.9589 | 125 |
Saxony | 0.8014 | 97 | 0.8562 | 106 | 0.8475 | 144 | 1.0111 | 45 | 1.0125 | 32 | 0.9280 | 146 | 0.9280 | 146 | 0.9405 | 151 | 0.9416 | 181 |
Saxony-Anhalt | 0.7730 | 122 | 0.8291 | 123 | 0.8567 | 135 | 0.9839 | 95 | 0.9880 | 132 | 0.9302 | 143 | 0.9302 | 143 | 0.9426 | 148 | 0.9477 | 165 |
Schleswig–Holstein | 0.8132 | 84 | 0.8764 | 89 | 0.8651 | 132 | 0.9688 | 134 | 0.9636 | 194 | 0.9581 | 53 | 0.9581 | 53 | 0.9714 | 64 | 0.9736 | 79 |
Thuringia | 0.8064 | 90 | 0.8682 | 98 | 0.8995 | 105 | 1.0094 | 49 | 1.0058 | 52 | 0.9337 | 131 | 0.9337 | 131 | 0.9462 | 140 | 0.9547 | 148 |
Hungary | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Central Hungary | 0.6403 | 234 | 0.6849 | 231 | 0.7069 | 249 | 0.9421 | 198 | 0.9538 | 225 | 0.8290 | 297 | 0.8290 | 297 | 0.8409 | 297 | 0.8421 | 318 |
Central Transdanubia | 0.6265 | 245 | 0.6712 | 246 | 0.6924 | 261 | 0.9045 | 255 | 0.9137 | 284 | 0.8625 | 270 | 0.8625 | 270 | 0.8741 | 275 | 0.8763 | 293 |
Western Transdanubia | 0.6404 | 233 | 0.6899 | 228 | 0.7113 | 247 | 0.9095 | 248 | 0.9188 | 277 | 0.8266 | 299 | 0.8266 | 299 | 0.8374 | 302 | 0.8398 | 321 |
Southern Transdanubia | 0.5768 | 288 | 0.6160 | 288 | 0.8321 | 158 | 0.8771 | 289 | 0.9875 | 134 | 0.8647 | 267 | 0.8647 | 267 | 0.8766 | 268 | 0.9602 | 120 |
Northern Hungary | 0.5461 | 311 | 0.5807 | 320 | 0.9976 | 40 | 0.8738 | 291 | 0.9998 | 91 | 0.8252 | 301 | 0.8252 | 301 | 0.8362 | 304 | 0.9672 | 103 |
Northern Great Plain | 0.5524 | 307 | 0.5873 | 314 | 1.0000 | 24 | 0.8640 | 303 | 1.0000 | 78 | 0.8126 | 309 | 0.8126 | 309 | 0.8232 | 314 | 1.0000 | 15 |
Southern Great Plain | 0.5802 | 284 | 0.6188 | 285 | 0.6279 | 310 | 0.8796 | 287 | 0.8762 | 308 | 0.8494 | 282 | 0.8494 | 282 | 0.8610 | 282 | 0.8628 | 307 |
Iceland | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Capital Region | 0.8134 | 83 | 0.8726 | 94 | 0.9039 | 99 | 1.1314 | 11 | 1.0462 | 11 | 0.9764 | 24 | 0.9764 | 24 | 0.9901 | 25 | 0.9990 | 31 |
Other Regions | 0.8151 | 82 | 0.8747 | 90 | 0.9286 | 90 | 1.5009 | 1 | 1.0000 | 78 | 0.9656 | 40 | 0.9656 | 40 | 0.9802 | 45 | 1.0000 | 15 |
Ireland | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Border, Midland and Western | 0.6807 | 203 | 0.7327 | 197 | 1.0000 | 24 | 0.9478 | 188 | 1.0000 | 78 | 0.9662 | 39 | 0.9662 | 39 | 0.9799 | 46 | 1.0000 | 15 |
Southern and Eastern | 0.6898 | 192 | 0.7364 | 193 | 1.0000 | 24 | 0.9598 | 160 | 1.0000 | 78 | 0.9705 | 29 | 0.9705 | 29 | 0.9844 | 35 | 1.0000 | 15 |
Israel | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Jerusalem District | 0.5428 | 317 | 0.5815 | 319 | 0.8503 | 140 | 0.9151 | 240 | 1.0000 | 78 | 0.9439 | 96 | 0.9439 | 96 | 0.9599 | 98 | 1.0000 | 15 |
Northern District | 0.5856 | 280 | 0.6268 | 278 | 0.9781 | 55 | 0.8872 | 278 | 1.0000 | 78 | 0.8564 | 278 | 0.8564 | 278 | 0.8832 | 261 | 1.0000 | 27 |
Haifa District | 0.6938 | 186 | 0.7421 | 186 | 0.7738 | 202 | 0.9208 | 232 | 0.9281 | 262 | 0.8970 | 226 | 0.8970 | 226 | 0.9198 | 208 | 0.9285 | 213 |
Central District | 0.7536 | 138 | 0.8068 | 142 | 0.8071 | 183 | 0.9590 | 162 | 0.9684 | 182 | 0.9319 | 136 | 0.9319 | 136 | 0.9505 | 129 | 0.9586 | 127 |
Tel Aviv District | 0.7825 | 114 | 0.8381 | 116 | 0.8388 | 149 | 0.9548 | 173 | 0.9649 | 189 | 0.9354 | 126 | 0.9354 | 126 | 0.9591 | 102 | 0.9683 | 96 |
Southern District | 0.6423 | 229 | 0.6843 | 234 | 0.7053 | 251 | 0.9092 | 251 | 0.9090 | 291 | 0.9363 | 123 | 0.9363 | 123 | 0.9549 | 111 | 0.9557 | 143 |
Italy | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Piedmont | 0.6772 | 205 | 0.7207 | 207 | 0.7235 | 242 | 0.9105 | 245 | 0.9159 | 281 | 0.9224 | 162 | 0.9224 | 162 | 0.9346 | 169 | 0.9416 | 180 |
Aosta Valley | 0.7115 | 164 | 0.7607 | 167 | 0.7408 | 231 | 0.9975 | 70 | 0.9054 | 294 | 0.8426 | 285 | 0.8426 | 285 | 0.8646 | 280 | 0.8761 | 294 |
Liguria | 0.6751 | 207 | 0.7192 | 209 | 0.7093 | 248 | 0.9430 | 197 | 0.9543 | 223 | 0.9219 | 164 | 0.9219 | 164 | 0.9339 | 174 | 0.9332 | 203 |
Lombardy | 0.7051 | 171 | 0.7531 | 176 | 0.7455 | 228 | 0.9133 | 242 | 0.8911 | 302 | 0.8784 | 248 | 0.8784 | 248 | 0.8907 | 250 | 0.8931 | 271 |
Abruzzo | 0.5984 | 266 | 0.6384 | 272 | 0.6585 | 288 | 0.9572 | 164 | 0.9619 | 200 | 0.9020 | 210 | 0.9020 | 210 | 0.9144 | 218 | 0.9174 | 236 |
Molise | 0.5714 | 292 | 0.6152 | 289 | 0.6845 | 269 | 0.9799 | 106 | 1.0117 | 38 | 0.7976 | 322 | 0.7976 | 322 | 0.8083 | 323 | 0.8247 | 330 |
Campania | 0.5198 | 336 | 0.5411 | 343 | 0.5959 | 330 | 0.9001 | 264 | 0.9929 | 118 | 0.8411 | 287 | 0.8411 | 287 | 0.8520 | 292 | 0.9090 | 258 |
Apulia | 0.5264 | 329 | 0.5545 | 336 | 0.5689 | 343 | 0.9413 | 200 | 0.9553 | 220 | 0.8443 | 284 | 0.8443 | 284 | 0.8562 | 287 | 0.8641 | 306 |
Basilicata | 0.5381 | 319 | 0.5759 | 325 | 0.6062 | 324 | 0.9864 | 91 | 0.9843 | 141 | 0.9004 | 214 | 0.9004 | 214 | 0.9126 | 221 | 0.9220 | 230 |
Calabria | 0.5316 | 325 | 0.5674 | 329 | 0.5944 | 331 | 0.9083 | 252 | 0.9605 | 203 | 0.8293 | 295 | 0.8293 | 295 | 0.8406 | 299 | 0.8610 | 309 |
Sicily | 0.5318 | 324 | 0.5659 | 330 | 1.0000 | 24 | 0.8481 | 310 | 1.0000 | 78 | 0.8532 | 279 | 0.8532 | 279 | 0.8651 | 279 | 1.0000 | 15 |
Sardinia | 0.5673 | 295 | 0.6074 | 295 | 0.6155 | 319 | 0.9562 | 167 | 0.9642 | 190 | 0.9111 | 192 | 0.9111 | 192 | 0.9234 | 197 | 0.9309 | 209 |
Province of Bolzano-Bozen | 0.7705 | 124 | 0.8312 | 121 | 0.8475 | 143 | 0.9932 | 78 | 0.9656 | 188 | 0.9302 | 141 | 0.9302 | 141 | 0.9434 | 146 | 0.9553 | 147 |
Province of Trento | 0.7109 | 165 | 0.7598 | 169 | 0.7488 | 222 | 0.9777 | 111 | 0.9567 | 215 | 0.9302 | 141 | 0.9302 | 141 | 0.9435 | 145 | 0.9456 | 172 |
Veneto | 0.6982 | 178 | 0.7487 | 181 | 0.7810 | 199 | 0.9617 | 155 | 0.9727 | 171 | 0.8848 | 243 | 0.8848 | 243 | 0.8972 | 245 | 0.8989 | 264 |
Friuli-Venezia Giulia | 0.7040 | 173 | 0.7543 | 175 | 0.7612 | 212 | 0.9209 | 231 | 0.8955 | 297 | 0.9216 | 165 | 0.9216 | 165 | 0.9344 | 171 | 0.9373 | 195 |
Emilia–Romagna | 0.7235 | 158 | 0.7717 | 159 | 0.7690 | 203 | 0.9605 | 158 | 0.9348 | 254 | 0.8736 | 256 | 0.8736 | 256 | 0.8856 | 258 | 0.8878 | 276 |
Tuscany | 0.6930 | 187 | 0.7385 | 190 | 0.7816 | 198 | 0.9652 | 143 | 0.9659 | 186 | 0.8891 | 238 | 0.8891 | 238 | 0.9012 | 242 | 0.9034 | 262 |
Umbria | 0.6593 | 215 | 0.7022 | 217 | 0.6946 | 258 | 0.9694 | 131 | 0.9808 | 154 | 0.8167 | 307 | 0.8167 | 307 | 0.8286 | 309 | 0.8312 | 327 |
Marche | 0.6758 | 206 | 0.7206 | 208 | 0.7505 | 221 | 1.0125 | 43 | 1.0120 | 36 | 0.8615 | 273 | 0.8615 | 273 | 0.8727 | 277 | 0.8758 | 295 |
Lazio | 0.6384 | 238 | 0.6805 | 240 | 0.6684 | 282 | 0.9646 | 145 | 0.9641 | 191 | 0.9076 | 202 | 0.9076 | 202 | 0.9196 | 210 | 0.9199 | 234 |
Japan | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Hokkaido | 0.8035 | 93 | 0.8645 | 102 | 0.9277 | 91 | 1.0213 | 37 | 1.0107 | 40 | 0.8655 | 264 | 0.8655 | 264 | 0.8771 | 267 | 0.8862 | 278 |
Tohoku | 0.8529 | 41 | 0.9187 | 60 | 1.0022 | 21 | 1.0000 | 66 | 0.9938 | 113 | 0.8655 | 265 | 0.8655 | 265 | 0.8766 | 269 | 0.8860 | 279 |
Northern-Kanto, Koshin | 0.8702 | 33 | 0.9381 | 48 | 0.9670 | 65 | 0.9882 | 86 | 0.9861 | 136 | 0.9133 | 189 | 0.9133 | 189 | 0.9259 | 193 | 0.9266 | 219 |
Southern-Kanto | 0.8480 | 47 | 0.9124 | 66 | 0.9021 | 101 | 1.0105 | 46 | 1.0090 | 43 | 0.8827 | 246 | 0.8827 | 246 | 0.8943 | 248 | 0.8953 | 267 |
Hokuriku | 0.9029 | 21 | 0.9807 | 25 | 0.9595 | 70 | 0.9975 | 72 | 0.9910 | 121 | 0.8703 | 259 | 0.8703 | 259 | 0.8825 | 262 | 0.8820 | 283 |
Toukai | 0.8783 | 26 | 0.9612 | 30 | 0.9497 | 76 | 1.0058 | 55 | 1.0076 | 46 | 0.8932 | 233 | 0.8932 | 233 | 0.9055 | 236 | 0.9090 | 257 |
Kansai region | 0.8319 | 62 | 0.9012 | 72 | 0.9384 | 83 | 1.0083 | 51 | 0.9984 | 101 | 0.8969 | 227 | 0.8969 | 227 | 0.9093 | 232 | 0.9121 | 250 |
Chugoku | 0.8719 | 32 | 0.9477 | 38 | 0.9310 | 88 | 1.0083 | 52 | 1.0036 | 58 | 0.8746 | 255 | 0.8746 | 255 | 0.8862 | 257 | 0.8858 | 280 |
Shikoku | 0.8494 | 44 | 0.9129 | 65 | 0.9985 | 39 | 0.9659 | 139 | 0.9810 | 152 | 0.8706 | 258 | 0.8706 | 258 | 0.8821 | 264 | 0.8927 | 273 |
Kyushu, Okinawa | 0.8210 | 73 | 0.8800 | 83 | 1.0010 | 23 | 0.9750 | 123 | 1.0032 | 64 | 0.8862 | 242 | 0.8862 | 242 | 0.8985 | 244 | 0.9171 | 237 |
South Korea | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Capital Region (KR) | 0.7001 | 177 | 0.7601 | 168 | 0.7953 | 192 | 0.9992 | 69 | 1.0070 | 50 | 0.8003 | 320 | 0.8003 | 320 | 0.8123 | 321 | 0.8136 | 334 |
Gyeongnam Region | 0.6973 | 179 | 0.7849 | 154 | 0.8075 | 182 | 1.0173 | 39 | 1.0022 | 69 | 0.7899 | 326 | 0.7899 | 326 | 0.8022 | 327 | 0.8317 | 325 |
Gyeonbuk Region | 0.7372 | 152 | 0.8023 | 145 | 0.8517 | 139 | 0.9924 | 79 | 1.0056 | 53 | 0.7375 | 341 | 0.7375 | 341 | 0.7499 | 341 | 0.7512 | 347 |
Jeolla Region | 0.7415 | 148 | 0.8341 | 118 | 0.9052 | 97 | 0.9822 | 100 | 0.9951 | 111 | 0.7703 | 334 | 0.7703 | 334 | 0.7821 | 334 | 0.7838 | 343 |
Chungcheong Region | 0.7308 | 155 | 0.7992 | 148 | 0.8279 | 162 | 0.9777 | 112 | 0.9719 | 177 | 0.7958 | 323 | 0.7958 | 323 | 0.8074 | 324 | 0.8389 | 322 |
Gangwon Region | 0.6941 | 184 | 0.7756 | 158 | 0.8005 | 188 | 0.9827 | 99 | 0.9747 | 169 | 0.7584 | 338 | 0.7584 | 338 | 0.7700 | 338 | 0.7966 | 340 |
Jeju | 0.7911 | 107 | 0.9147 | 64 | 0.9496 | 77 | 0.9878 | 88 | 0.9854 | 137 | 0.7748 | 330 | 0.7748 | 330 | 0.7865 | 332 | 0.8141 | 333 |
Luxembourg | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Luxembourg | 0.7345 | 153 | 0.7956 | 150 | 0.8225 | 171 | 1.0440 | 26 | 1.0447 | 13 | 0.8889 | 239 | 0.8889 | 239 | 0.9037 | 239 | 0.9410 | 183 |
Mexico | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Aguascalientes | 0.5774 | 287 | 0.6183 | 286 | 0.6587 | 286 | 0.8016 | 319 | 0.8444 | 324 | 0.8182 | 306 | 0.8182 | 306 | 0.8478 | 293 | 0.8423 | 317 |
Baja California Norte | 0.5999 | 265 | 0.6437 | 269 | 0.6790 | 276 | 0.7045 | 340 | 0.7068 | 343 | 0.8366 | 291 | 0.8366 | 291 | 0.8595 | 285 | 0.8666 | 302 |
Baja California Sur | 0.6352 | 239 | 0.6820 | 238 | 0.6412 | 300 | 0.7988 | 322 | 0.7941 | 333 | 0.9500 | 82 | 0.9500 | 82 | 0.9783 | 48 | 0.9688 | 93 |
Campeche | 0.6023 | 262 | 0.6573 | 258 | 0.7324 | 238 | 0.7869 | 323 | 0.7882 | 334 | 1.0000 | 1 | 1.0000 | 1 | 1.0382 | 1 | 1.0040 | 9 |
Coahuila | 0.6076 | 260 | 0.6538 | 261 | 1.0000 | 24 | 0.6904 | 342 | 0.8894 | 304 | 0.7899 | 325 | 0.7899 | 325 | 0.8169 | 318 | 0.9025 | 263 |
Colima | 0.6507 | 223 | 0.6967 | 222 | 0.6947 | 257 | 0.6817 | 347 | 0.6850 | 347 | 0.8578 | 276 | 0.8578 | 276 | 0.8751 | 271 | 0.8795 | 289 |
Chiapas | 0.5218 | 334 | 0.5819 | 318 | 0.9942 | 45 | 0.7314 | 334 | 1.0000 | 78 | 0.8013 | 318 | 0.8013 | 318 | 0.8251 | 313 | 1.0000 | 15 |
Chihuahua | 0.5905 | 274 | 0.6507 | 265 | 0.7460 | 225 | 0.6170 | 350 | 0.6178 | 351 | 0.9192 | 174 | 0.9192 | 174 | 0.9346 | 170 | 0.9395 | 190 |
Federal District (MX) | 0.6218 | 250 | 0.6638 | 252 | 0.6619 | 283 | 0.7574 | 329 | 0.7495 | 337 | 0.9152 | 183 | 0.9152 | 183 | 0.9437 | 144 | 0.9600 | 122 |
Durango | 0.5611 | 299 | 0.6015 | 301 | 0.6490 | 294 | 0.6865 | 345 | 0.6927 | 346 | 0.8626 | 269 | 0.8626 | 269 | 0.8863 | 256 | 0.8755 | 296 |
Guanajuato | 0.5878 | 277 | 0.6325 | 277 | 0.9956 | 42 | 0.7264 | 335 | 0.9198 | 274 | 0.8012 | 319 | 0.8012 | 319 | 0.8299 | 307 | 0.9970 | 35 |
Guerrero | 0.5933 | 270 | 0.6847 | 232 | 1.0000 | 24 | 0.6055 | 351 | 0.6272 | 350 | 0.7724 | 332 | 0.7724 | 332 | 0.7905 | 330 | 0.8413 | 319 |
Hidalgo | 0.5866 | 278 | 0.6335 | 276 | 0.7819 | 197 | 0.7608 | 326 | 0.7962 | 332 | 0.7774 | 328 | 0.7774 | 328 | 0.7974 | 328 | 0.8462 | 316 |
Jalisco | 0.6015 | 263 | 0.6468 | 266 | 0.6397 | 301 | 0.7152 | 337 | 0.7203 | 341 | 0.8808 | 247 | 0.8808 | 247 | 0.9100 | 229 | 0.9157 | 240 |
Mexico | 0.5774 | 286 | 0.6193 | 284 | 1.0000 | 24 | 0.7080 | 339 | 1.0000 | 78 | 0.8582 | 275 | 0.8582 | 275 | 0.8835 | 260 | 1.0000 | 15 |
Michoacan | 0.5913 | 272 | 0.6416 | 271 | 0.8622 | 133 | 0.6897 | 343 | 0.7127 | 342 | 0.9034 | 209 | 0.9034 | 209 | 0.9362 | 162 | 0.9989 | 33 |
Morelos | 0.5889 | 276 | 0.6341 | 275 | 0.7001 | 255 | 0.6642 | 348 | 0.6738 | 348 | 0.9128 | 190 | 0.9128 | 190 | 0.9253 | 194 | 0.9356 | 200 |
Nayarit | 0.6196 | 252 | 0.6602 | 254 | 0.7038 | 252 | 0.7220 | 336 | 0.7279 | 338 | 0.8837 | 245 | 0.8837 | 245 | 0.9091 | 233 | 0.8951 | 268 |
Nuevo Leon | 0.6095 | 259 | 0.6527 | 262 | 0.6413 | 299 | 0.7346 | 333 | 0.7248 | 339 | 0.9063 | 205 | 0.9063 | 205 | 0.9327 | 178 | 0.9531 | 152 |
Oaxaca | 0.5932 | 271 | 0.6511 | 264 | 1.0000 | 24 | 0.6876 | 344 | 0.9847 | 139 | 0.8283 | 298 | 0.8283 | 298 | 0.8572 | 286 | 0.9544 | 150 |
Puebla | 0.5967 | 267 | 0.6427 | 270 | 0.9985 | 38 | 0.7409 | 331 | 0.9892 | 127 | 0.8104 | 311 | 0.8104 | 311 | 0.8371 | 303 | 0.9939 | 43 |
Queretaro | 0.5336 | 323 | 0.5790 | 322 | 0.9948 | 44 | 0.7604 | 327 | 0.9902 | 124 | 0.8984 | 223 | 0.8984 | 223 | 0.9260 | 192 | 1.0000 | 15 |
Quintana Roo | 0.6209 | 251 | 0.6644 | 251 | 0.6251 | 312 | 0.7781 | 324 | 0.7733 | 336 | 1.0000 | 1 | 1.0000 | 1 | 1.0276 | 4 | 1.0024 | 10 |
San Luis Potosi | 0.5905 | 273 | 0.6443 | 268 | 0.8708 | 127 | 0.7457 | 330 | 0.7852 | 335 | 0.7742 | 331 | 0.7742 | 331 | 0.8051 | 326 | 0.8573 | 310 |
Sinaloa | 0.5819 | 283 | 0.6227 | 282 | 0.6324 | 303 | 0.6604 | 349 | 0.6603 | 349 | 0.9292 | 144 | 0.9292 | 144 | 0.9631 | 89 | 0.9617 | 114 |
Sonora | 0.6385 | 237 | 0.6837 | 235 | 0.6418 | 298 | 0.7102 | 338 | 0.7065 | 344 | 0.9190 | 175 | 0.9190 | 175 | 0.9523 | 123 | 0.9411 | 182 |
Tabasco | 0.5463 | 310 | 0.5859 | 317 | 0.6389 | 302 | 0.7584 | 328 | 0.8022 | 331 | 0.8934 | 232 | 0.8934 | 232 | 0.9079 | 235 | 0.9223 | 227 |
Tamaulipas | 0.5934 | 269 | 0.6367 | 273 | 0.6610 | 284 | 0.6995 | 341 | 0.6995 | 345 | 0.9410 | 106 | 0.9410 | 106 | 0.9748 | 55 | 0.9760 | 74 |
Tlaxcala | 0.5826 | 281 | 0.6231 | 281 | 0.7005 | 254 | 0.7651 | 325 | 0.8042 | 330 | 0.8922 | 236 | 0.8922 | 236 | 0.9201 | 207 | 0.9620 | 112 |
Veracruz | 0.5392 | 318 | 0.6001 | 302 | 0.9078 | 95 | 0.7408 | 332 | 0.8201 | 329 | 0.8190 | 304 | 0.8190 | 304 | 0.8407 | 298 | 0.9492 | 163 |
Yucatan | 0.6398 | 235 | 0.7033 | 216 | 0.8211 | 172 | 0.8594 | 304 | 0.8599 | 317 | 1.0000 | 1 | 1.0000 | 1 | 1.0306 | 3 | 1.0080 | 5 |
Zacatecas | 0.5524 | 306 | 0.5988 | 303 | 0.7649 | 207 | 0.6821 | 346 | 0.7212 | 340 | 0.9074 | 203 | 0.9074 | 203 | 0.9192 | 211 | 0.9531 | 153 |
Norway | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Oslo and Akershus | 0.8479 | 49 | 0.9411 | 45 | 0.9307 | 89 | 1.0702 | 22 | 1.0412 | 14 | 0.9624 | 45 | 0.9624 | 45 | 0.9814 | 41 | 0.9856 | 55 |
Hedmark and Oppland | 0.8283 | 67 | 0.9536 | 33 | 0.9666 | 66 | 1.0744 | 19 | 1.1343 | 4 | 0.9538 | 64 | 0.9538 | 64 | 0.9700 | 68 | 0.9765 | 73 |
South-Eastern Norway | 0.8024 | 96 | 0.8919 | 75 | 0.9016 | 103 | 1.0051 | 57 | 1.0135 | 30 | 0.9700 | 30 | 0.9700 | 30 | 0.9878 | 28 | 0.9947 | 38 |
Agder and Rogaland | 0.8475 | 51 | 0.9797 | 26 | 0.9924 | 46 | 1.0782 | 16 | 0.9951 | 110 | 0.9536 | 67 | 0.9536 | 67 | 0.9738 | 60 | 0.9734 | 82 |
Western Norway | 0.8453 | 54 | 1.0063 | 17 | 0.9767 | 57 | 1.0269 | 32 | 1.0001 | 76 | 0.9563 | 58 | 0.9563 | 58 | 0.9737 | 61 | 0.9697 | 91 |
Trøndelag | 0.8300 | 64 | 0.9711 | 28 | 0.8500 | 141 | 1.4655 | 3 | 1.0113 | 39 | 0.9831 | 18 | 0.9831 | 18 | 1.0012 | 16 | 0.9895 | 47 |
Northern Norway | 0.8197 | 75 | 0.9354 | 49 | 0.9377 | 84 | 1.0757 | 17 | 1.0008 | 72 | 0.9361 | 124 | 0.9361 | 124 | 0.9593 | 101 | 0.9580 | 128 |
Poland | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Lodzkie | 0.6953 | 182 | 0.7419 | 188 | 0.7395 | 232 | 0.9092 | 250 | 0.9153 | 282 | 0.8779 | 249 | 0.8779 | 249 | 0.8902 | 252 | 0.8957 | 266 |
Mazovia | 0.6964 | 180 | 0.7437 | 184 | 0.7412 | 229 | 0.9541 | 175 | 0.9581 | 210 | 0.8894 | 237 | 0.8894 | 237 | 0.9018 | 240 | 0.9077 | 259 |
Lesser Poland | 0.5666 | 296 | 0.6031 | 298 | 0.6078 | 322 | 0.9554 | 171 | 0.9630 | 197 | 0.8923 | 235 | 0.8923 | 235 | 0.9044 | 238 | 0.9103 | 254 |
Silesia | 0.5856 | 279 | 0.6241 | 280 | 0.6286 | 308 | 0.9474 | 190 | 0.9560 | 218 | 0.8754 | 254 | 0.8754 | 254 | 0.8871 | 254 | 0.8932 | 270 |
Lublin Province | 0.6340 | 240 | 0.6727 | 244 | 0.6885 | 265 | 0.9222 | 228 | 0.9235 | 268 | 0.9082 | 200 | 0.9082 | 200 | 0.9206 | 205 | 0.9221 | 228 |
Podkarpacia | 0.5294 | 327 | 0.5599 | 334 | 0.5719 | 340 | 0.9652 | 142 | 0.9756 | 164 | 0.9001 | 216 | 0.9001 | 216 | 0.9121 | 223 | 0.9136 | 247 |
Swietokrzyskie | 0.6262 | 247 | 0.6663 | 250 | 0.6793 | 275 | 0.9170 | 237 | 0.9177 | 280 | 0.8687 | 261 | 0.8687 | 261 | 0.8802 | 265 | 0.8819 | 284 |
Podlasie | 0.5735 | 290 | 0.6086 | 292 | 0.6234 | 314 | 0.9361 | 212 | 0.9392 | 249 | 0.8972 | 225 | 0.8972 | 225 | 0.9097 | 231 | 0.9110 | 252 |
Greater Poland | 0.5605 | 301 | 0.6017 | 300 | 0.5970 | 329 | 0.9567 | 166 | 0.9623 | 199 | 0.9001 | 215 | 0.9001 | 215 | 0.9119 | 224 | 0.9169 | 239 |
West Pomerania | 0.5314 | 326 | 0.5685 | 328 | 0.5717 | 341 | 0.9222 | 229 | 0.9279 | 265 | 0.9235 | 158 | 0.9235 | 158 | 0.9360 | 164 | 0.9404 | 187 |
Lubusz | 0.5636 | 297 | 0.6031 | 297 | 0.5978 | 328 | 0.9170 | 236 | 0.9223 | 270 | 0.8628 | 268 | 0.8628 | 268 | 0.8745 | 273 | 0.8780 | 291 |
Lower Silesia | 0.5542 | 304 | 0.5912 | 310 | 0.5887 | 336 | 0.9481 | 187 | 0.9534 | 226 | 0.8591 | 274 | 0.8591 | 274 | 0.8709 | 278 | 0.8754 | 297 |
Opole region | 0.5555 | 302 | 0.5963 | 306 | 0.5911 | 332 | 0.9391 | 206 | 0.9447 | 241 | 0.8650 | 266 | 0.8650 | 266 | 0.8764 | 270 | 0.8816 | 285 |
Kuyavian-Pomerania | 0.5375 | 320 | 0.5707 | 327 | 0.5902 | 334 | 0.9326 | 216 | 0.9333 | 256 | 0.8991 | 220 | 0.8991 | 220 | 0.9113 | 226 | 0.9133 | 248 |
Warmian-Masuria | 0.5262 | 330 | 0.5654 | 331 | 0.5842 | 338 | 0.9093 | 249 | 0.9112 | 288 | 0.8985 | 222 | 0.8985 | 222 | 0.9110 | 227 | 0.9129 | 249 |
Pomerania | 0.5707 | 294 | 0.6080 | 293 | 0.6281 | 309 | 0.9597 | 161 | 0.9600 | 206 | 0.8754 | 253 | 0.8754 | 253 | 0.8868 | 255 | 0.8892 | 275 |
Portugal | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
North (PT) | 0.6445 | 228 | 0.6856 | 230 | 0.7882 | 195 | 0.9045 | 256 | 1.0033 | 61 | 0.8322 | 293 | 0.8322 | 293 | 0.8435 | 296 | 0.8750 | 298 |
Algarve | 0.6901 | 191 | 0.7320 | 199 | 0.8330 | 157 | 0.8797 | 286 | 0.9570 | 214 | 0.8094 | 313 | 0.8094 | 313 | 0.8203 | 316 | 0.8508 | 314 |
Central Portugal | 0.7242 | 157 | 0.7708 | 160 | 0.8959 | 108 | 0.8880 | 277 | 0.9687 | 181 | 0.8365 | 292 | 0.8365 | 292 | 0.8472 | 294 | 0.8792 | 290 |
Lisbon | 0.6830 | 198 | 0.7245 | 204 | 0.8305 | 160 | 0.9229 | 227 | 1.0075 | 47 | 0.8494 | 281 | 0.8494 | 281 | 0.8607 | 283 | 0.8928 | 272 |
Alentejo | 0.6722 | 211 | 0.7147 | 212 | 0.8245 | 168 | 0.8882 | 276 | 0.9926 | 119 | 0.7866 | 327 | 0.7866 | 327 | 0.7973 | 329 | 0.8268 | 329 |
Azores (PT) | 0.6179 | 255 | 0.6567 | 260 | 0.7536 | 220 | 0.8715 | 292 | 1.0302 | 18 | 0.8760 | 252 | 0.8760 | 252 | 0.8879 | 253 | 0.9202 | 232 |
Madeira (PT) | 0.6295 | 244 | 0.6671 | 249 | 0.6914 | 262 | 0.8709 | 294 | 0.9906 | 122 | 0.8014 | 317 | 0.8014 | 317 | 0.8120 | 322 | 0.8377 | 323 |
Slovakia | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Bratislava Region | 0.7406 | 150 | 0.7907 | 153 | 0.8161 | 175 | 0.9621 | 152 | 0.9777 | 160 | 0.8838 | 244 | 0.8838 | 244 | 0.8969 | 247 | 0.8987 | 265 |
West Slovakia | 0.6195 | 253 | 0.6592 | 255 | 0.6741 | 280 | 0.9459 | 191 | 0.9596 | 208 | 0.8674 | 262 | 0.8674 | 262 | 0.8795 | 266 | 0.8826 | 282 |
Central Slovakia | 0.5801 | 285 | 0.6147 | 290 | 0.6309 | 305 | 0.9206 | 233 | 0.9337 | 255 | 0.8961 | 228 | 0.8961 | 228 | 0.9087 | 234 | 0.9109 | 253 |
East Slovakia | 0.5555 | 303 | 0.5866 | 316 | 0.5859 | 337 | 0.9349 | 214 | 0.9395 | 248 | 0.8929 | 234 | 0.8929 | 234 | 0.9048 | 237 | 0.9091 | 256 |
Slovenia | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Eastern Slovenia | 0.6422 | 230 | 0.6829 | 236 | 0.6754 | 278 | 0.9117 | 244 | 0.9190 | 276 | 0.8974 | 224 | 0.8974 | 224 | 0.9098 | 230 | 0.9099 | 255 |
Western Slovenia | 0.6700 | 212 | 0.7135 | 213 | 0.7376 | 233 | 0.9433 | 196 | 0.9539 | 224 | 0.9079 | 201 | 0.9079 | 201 | 0.9198 | 209 | 0.9227 | 226 |
Spain | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Galicia | 0.6264 | 246 | 0.6721 | 245 | 0.6535 | 289 | 0.9776 | 113 | 0.9934 | 116 | 0.9122 | 191 | 0.9122 | 191 | 0.9243 | 195 | 0.9271 | 216 |
Asturias | 0.6138 | 258 | 0.6570 | 259 | 0.6432 | 297 | 0.9680 | 135 | 0.9904 | 123 | 0.9412 | 105 | 0.9412 | 105 | 0.9539 | 115 | 0.9569 | 135 |
Cantabria | 0.6256 | 248 | 0.6673 | 248 | 0.6530 | 290 | 0.9834 | 97 | 0.9861 | 135 | 0.9930 | 7 | 0.9930 | 7 | 1.0061 | 10 | 1.0062 | 6 |
Basque Country | 0.6749 | 209 | 0.7170 | 211 | 0.7954 | 191 | 1.0607 | 23 | 1.0651 | 6 | 0.9613 | 47 | 0.9613 | 47 | 0.9745 | 56 | 0.9768 | 71 |
Navarra | 0.6780 | 204 | 0.7222 | 206 | 0.7598 | 215 | 1.0052 | 56 | 0.9818 | 149 | 0.9777 | 22 | 0.9777 | 22 | 0.9917 | 23 | 0.9939 | 42 |
La Rioja | 0.6590 | 216 | 0.7020 | 218 | 0.6898 | 263 | 1.1576 | 8 | 1.1982 | 1 | 0.8202 | 303 | 0.8202 | 303 | 0.8320 | 306 | 0.8341 | 324 |
Aragon | 0.6490 | 224 | 0.6935 | 226 | 0.6814 | 272 | 0.9786 | 107 | 0.9884 | 129 | 0.9109 | 193 | 0.9109 | 193 | 0.9240 | 196 | 0.9278 | 215 |
Madrid | 0.6552 | 219 | 0.6914 | 227 | 0.6960 | 256 | 1.0706 | 21 | 1.0467 | 10 | 0.9270 | 148 | 0.9270 | 148 | 0.9399 | 155 | 0.9467 | 169 |
Castile and León | 0.6488 | 225 | 0.6992 | 219 | 0.6880 | 266 | 0.9920 | 80 | 0.9770 | 162 | 0.9219 | 163 | 0.9219 | 163 | 0.9343 | 172 | 0.9332 | 202 |
Castile-La Mancha | 0.5739 | 289 | 0.6107 | 291 | 0.7609 | 213 | 0.9709 | 128 | 1.0000 | 78 | 0.9436 | 97 | 0.9436 | 97 | 0.9564 | 105 | 0.9833 | 60 |
Extremadura | 0.5825 | 282 | 0.6224 | 283 | 0.6522 | 291 | 0.9403 | 203 | 1.0063 | 51 | 0.9463 | 93 | 0.9463 | 93 | 0.9593 | 100 | 0.9823 | 62 |
Catalonia | 0.6417 | 231 | 0.6790 | 241 | 0.6744 | 279 | 0.9701 | 130 | 0.9753 | 165 | 0.9085 | 199 | 0.9085 | 199 | 0.9208 | 204 | 0.9252 | 221 |
Valencia | 0.5897 | 275 | 0.6245 | 279 | 0.6442 | 296 | 0.9488 | 184 | 0.9705 | 178 | 0.9203 | 172 | 0.9203 | 172 | 0.9327 | 180 | 0.9423 | 178 |
Balearic Islands | 0.6408 | 232 | 0.6806 | 239 | 0.6507 | 293 | 0.9520 | 179 | 0.9851 | 138 | 0.9160 | 182 | 0.9160 | 182 | 0.9296 | 183 | 0.9170 | 238 |
Andalusia | 0.5443 | 316 | 0.5792 | 321 | 0.6108 | 320 | 0.9304 | 217 | 1.0001 | 77 | 0.9205 | 171 | 0.9205 | 171 | 0.9332 | 176 | 0.9561 | 139 |
Murcia | 0.5712 | 293 | 0.6025 | 299 | 0.6773 | 277 | 0.9629 | 148 | 0.9792 | 155 | 0.9549 | 61 | 0.9549 | 61 | 0.9679 | 75 | 0.9940 | 41 |
Ceuta | 0.5141 | 341 | 0.5312 | 345 | 0.9768 | 56 | 0.8818 | 285 | 0.9999 | 90 | 0.9769 | 23 | 0.9769 | 23 | 0.9902 | 24 | 1.0000 | 15 |
Melilla | 0.5149 | 340 | 0.5303 | 346 | 0.5160 | 351 | 0.9041 | 258 | 0.9014 | 296 | 0.9688 | 32 | 0.9688 | 32 | 0.9815 | 40 | 0.9696 | 92 |
Canary Islands | 0.5346 | 322 | 0.5622 | 332 | 0.6004 | 326 | 0.9406 | 201 | 1.0001 | 75 | 0.9264 | 149 | 0.9264 | 149 | 0.9394 | 156 | 0.9570 | 133 |
Sweden | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Stockholm | 0.8155 | 81 | 0.8734 | 92 | 0.8687 | 129 | 1.0220 | 36 | 1.0121 | 35 | 0.9388 | 109 | 0.9388 | 109 | 0.9562 | 106 | 0.9615 | 116 |
East Middle Sweden | 0.7656 | 128 | 0.8179 | 134 | 0.8137 | 177 | 1.0240 | 33 | 1.0173 | 22 | 0.9367 | 121 | 0.9367 | 121 | 0.9528 | 122 | 0.9591 | 124 |
Småland with Islands | 0.8044 | 92 | 0.8589 | 105 | 0.8387 | 150 | 1.0981 | 15 | 1.0005 | 73 | 0.9568 | 56 | 0.9568 | 56 | 0.9770 | 51 | 0.9705 | 88 |
South Sweden | 0.7467 | 146 | 0.7937 | 152 | 0.7851 | 196 | 0.9943 | 75 | 1.0079 | 45 | 0.9538 | 66 | 0.9538 | 66 | 0.9710 | 66 | 0.9734 | 81 |
West Sweden | 0.7930 | 106 | 0.8452 | 113 | 0.8423 | 147 | 1.0234 | 34 | 1.0124 | 34 | 0.9498 | 83 | 0.9498 | 83 | 0.9663 | 81 | 0.9719 | 83 |
North Middle Sweden | 0.7581 | 135 | 0.8099 | 139 | 0.7647 | 208 | 1.0329 | 29 | 0.9824 | 146 | 0.9536 | 68 | 0.9536 | 68 | 0.9681 | 74 | 0.9569 | 134 |
Central Norrland | 0.7858 | 112 | 0.8380 | 117 | 0.8784 | 122 | 1.2006 | 7 | 1.0016 | 70 | 0.9236 | 157 | 0.9236 | 157 | 0.9459 | 141 | 0.9457 | 171 |
Upper Norrland | 0.7735 | 120 | 0.8241 | 129 | 0.7805 | 200 | 1.1086 | 13 | 1.0014 | 71 | 0.9344 | 129 | 0.9344 | 129 | 0.9530 | 121 | 0.9404 | 186 |
Switzerland | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Lake Geneva Region | 0.7646 | 132 | 0.8174 | 135 | 0.8058 | 185 | 0.9603 | 159 | 0.9640 | 192 | 0.9579 | 54 | 0.9579 | 54 | 0.9744 | 57 | 0.9766 | 72 |
Espace Mittelland | 0.8513 | 42 | 0.9122 | 67 | 0.9078 | 96 | 0.9439 | 194 | 0.9481 | 238 | 0.9686 | 33 | 0.9686 | 33 | 0.9847 | 33 | 0.9868 | 53 |
Northwestern Switzerland | 0.8480 | 48 | 0.9094 | 68 | 0.9194 | 93 | 0.9786 | 109 | 0.9786 | 157 | 0.9675 | 37 | 0.9675 | 37 | 0.9827 | 39 | 0.9867 | 54 |
Zurich | 0.8778 | 28 | 0.9436 | 41 | 0.9713 | 60 | 1.0046 | 58 | 1.0023 | 68 | 0.9654 | 41 | 0.9654 | 41 | 0.9872 | 29 | 0.9964 | 36 |
Eastern Switzerland | 0.8732 | 31 | 0.9417 | 44 | 0.9328 | 85 | 0.9702 | 129 | 0.9751 | 167 | 0.9848 | 14 | 0.9848 | 14 | 1.0042 | 13 | 1.0045 | 8 |
Central Switzerland | 0.8859 | 24 | 0.9518 | 34 | 0.9596 | 69 | 0.9816 | 102 | 0.9842 | 142 | 0.9835 | 16 | 0.9835 | 16 | 1.0043 | 12 | 0.9989 | 32 |
Ticino | 0.7557 | 137 | 0.8087 | 141 | 0.8397 | 148 | 1.0416 | 28 | 1.0154 | 24 | 0.9213 | 167 | 0.9213 | 167 | 0.9404 | 152 | 0.9498 | 161 |
Turkey | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Istanbul | 0.5128 | 342 | 0.5426 | 341 | 0.5670 | 344 | 0.8830 | 284 | 0.9060 | 293 | 0.7584 | 339 | 0.7584 | 339 | 0.7688 | 339 | 0.8001 | 339 |
Thrace | 0.5517 | 308 | 0.5888 | 312 | 0.6231 | 315 | 0.9007 | 263 | 0.9275 | 266 | 0.7359 | 342 | 0.7359 | 342 | 0.7493 | 342 | 0.8085 | 335 |
Southern Marmara—West | 0.5364 | 321 | 0.5942 | 308 | 0.6265 | 311 | 0.8941 | 271 | 0.9181 | 279 | 0.8100 | 312 | 0.8100 | 312 | 0.8210 | 315 | 0.8523 | 313 |
Izmir | 0.5155 | 339 | 0.5498 | 339 | 0.5658 | 346 | 0.8941 | 270 | 0.8792 | 306 | 0.7346 | 343 | 0.7346 | 343 | 0.7448 | 343 | 0.7462 | 349 |
Southern Aegean | 0.5453 | 312 | 0.5868 | 315 | 0.6170 | 318 | 0.8845 | 281 | 0.9086 | 292 | 0.7681 | 336 | 0.7681 | 336 | 0.7784 | 336 | 0.8072 | 336 |
Northern Aegean | 0.5451 | 313 | 0.6166 | 287 | 0.6832 | 271 | 0.8893 | 274 | 0.8707 | 312 | 0.7439 | 340 | 0.7439 | 340 | 0.7546 | 340 | 0.7563 | 346 |
Eastern Marmara—South | 0.5278 | 328 | 0.5762 | 324 | 0.6078 | 323 | 0.8946 | 268 | 0.9216 | 271 | 0.8116 | 310 | 0.8116 | 310 | 0.8252 | 312 | 0.8807 | 288 |
Eastern Marmara—North | 0.5251 | 332 | 0.5595 | 335 | 0.5909 | 333 | 0.8942 | 269 | 0.9152 | 283 | 0.8075 | 314 | 0.8075 | 314 | 0.8184 | 317 | 0.8485 | 315 |
Ankara | 0.5199 | 335 | 0.5524 | 337 | 0.5707 | 342 | 0.9022 | 262 | 0.8891 | 305 | 0.8135 | 308 | 0.8135 | 308 | 0.8255 | 311 | 0.8271 | 328 |
Central Anatolia—West and South | 0.5243 | 333 | 0.5776 | 323 | 0.6250 | 313 | 0.8710 | 293 | 0.8543 | 320 | 0.7711 | 333 | 0.7711 | 333 | 0.7821 | 333 | 0.7838 | 344 |
Mediterranean region—West | 0.5481 | 309 | 0.5882 | 313 | 0.6171 | 317 | 0.8777 | 288 | 0.9036 | 295 | 0.7627 | 337 | 0.7627 | 337 | 0.7733 | 337 | 0.8071 | 337 |
Mediterranean region—Middle | 0.5056 | 346 | 0.5353 | 344 | 0.5568 | 348 | 0.8378 | 313 | 0.8240 | 326 | 0.7233 | 345 | 0.7233 | 345 | 0.7349 | 345 | 0.7359 | 350 |
Mediterranean region—East | 0.4971 | 347 | 0.5174 | 348 | 0.5270 | 350 | 0.8486 | 309 | 0.8704 | 313 | 0.6680 | 348 | 0.6680 | 348 | 0.6770 | 349 | 0.6994 | 351 |
Central Anatolia—Middle | 0.5165 | 338 | 0.5599 | 333 | 0.5901 | 335 | 0.8526 | 308 | 0.8363 | 325 | 0.7697 | 335 | 0.7697 | 335 | 0.7802 | 335 | 0.7822 | 345 |
Central Anatolia—East | 0.5083 | 343 | 0.5419 | 342 | 0.5614 | 347 | 0.8702 | 295 | 0.8944 | 299 | 0.7332 | 344 | 0.7332 | 344 | 0.7445 | 344 | 0.7885 | 342 |
Western Black Sea—West | 0.5448 | 314 | 0.5964 | 305 | 0.6310 | 304 | 0.8865 | 279 | 0.8700 | 314 | 0.8515 | 280 | 0.8515 | 280 | 0.8628 | 281 | 0.8654 | 303 |
Western Black Sea—Middle and East | 0.5634 | 298 | 0.6048 | 296 | 0.6295 | 307 | 0.8677 | 299 | 0.8523 | 321 | 0.8027 | 315 | 0.8027 | 315 | 0.8141 | 319 | 0.8166 | 331 |
Middle Black Sea | 0.5193 | 337 | 0.5719 | 326 | 0.6081 | 321 | 0.8697 | 297 | 0.8554 | 319 | 0.7762 | 329 | 0.7762 | 329 | 0.7875 | 331 | 0.7890 | 341 |
Eastern Black Sea | 0.5448 | 315 | 0.5898 | 311 | 0.6186 | 316 | 0.8662 | 300 | 0.8479 | 323 | 0.8413 | 286 | 0.8413 | 286 | 0.8527 | 290 | 0.8550 | 311 |
Northeastern Anatolia—West | 0.5059 | 344 | 0.5505 | 338 | 0.5730 | 339 | 0.8572 | 307 | 0.8775 | 307 | 0.8242 | 302 | 0.8242 | 302 | 0.8351 | 305 | 0.8649 | 304 |
Northeastern Anatolia—East | 0.5258 | 331 | 0.5917 | 309 | 0.6301 | 306 | 0.8015 | 320 | 0.8217 | 328 | 0.8185 | 305 | 0.8185 | 305 | 0.8292 | 308 | 0.8610 | 308 |
Eastern Anatolia—West | 0.5057 | 345 | 0.5464 | 340 | 0.5669 | 345 | 0.8578 | 306 | 0.8748 | 309 | 0.6635 | 349 | 0.6635 | 349 | 0.6847 | 348 | 0.7467 | 348 |
Eastern Anatolia—East | 0.4915 | 348 | 0.5150 | 349 | 1.0000 | 24 | 0.8113 | 318 | 1.0000 | 78 | 0.7176 | 346 | 0.7176 | 346 | 0.7273 | 346 | 1.0000 | 15 |
Southeastern Anatolia—West | 0.4910 | 349 | 0.5262 | 347 | 0.9735 | 58 | 0.8215 | 317 | 0.9494 | 235 | 0.6543 | 350 | 0.6543 | 350 | 0.6643 | 350 | 0.8807 | 287 |
Southeastern Anatolia—Middle | 0.4896 | 351 | 0.5075 | 350 | 0.9034 | 100 | 0.8006 | 321 | 1.0000 | 78 | 0.5937 | 351 | 0.5937 | 351 | 0.6033 | 351 | 0.9437 | 174 |
Southeastern Anatolia—East | 0.4897 | 350 | 0.5027 | 351 | 0.5446 | 349 | 0.8254 | 316 | 0.9511 | 233 | 0.6954 | 347 | 0.6954 | 347 | 0.7044 | 347 | 0.8044 | 338 |
United Kingdom | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
North East England | 0.7272 | 156 | 0.7789 | 157 | 0.7919 | 193 | 0.9607 | 157 | 0.9895 | 126 | 0.9213 | 166 | 0.9213 | 166 | 0.9339 | 175 | 0.9361 | 197 |
North West England | 0.7413 | 149 | 0.7951 | 151 | 0.7884 | 194 | 0.9531 | 178 | 0.9752 | 166 | 0.9425 | 98 | 0.9425 | 98 | 0.9559 | 107 | 0.9561 | 140 |
Yorkshire and The Humber | 0.7460 | 147 | 0.7982 | 149 | 0.8187 | 174 | 0.9571 | 165 | 0.9817 | 150 | 0.9565 | 57 | 0.9565 | 57 | 0.9696 | 69 | 0.9719 | 84 |
East Midlands | 0.7838 | 113 | 0.8422 | 115 | 0.8265 | 164 | 0.9849 | 92 | 0.9944 | 112 | 0.9501 | 81 | 0.9501 | 81 | 0.9634 | 88 | 0.9634 | 110 |
West Midlands | 0.7493 | 143 | 0.8024 | 144 | 0.8273 | 163 | 0.9549 | 172 | 0.9818 | 148 | 0.9498 | 85 | 0.9498 | 85 | 0.9630 | 90 | 0.9650 | 108 |
East of England | 0.8196 | 76 | 0.8794 | 85 | 0.8867 | 117 | 0.9658 | 140 | 0.9610 | 202 | 0.9468 | 92 | 0.9468 | 92 | 0.9601 | 97 | 0.9666 | 105 |
Greater London | 0.7745 | 119 | 0.8293 | 122 | 0.8196 | 173 | 0.9975 | 71 | 0.9900 | 125 | 0.9278 | 147 | 0.9278 | 147 | 0.9413 | 149 | 0.9424 | 177 |
South East England | 0.8283 | 66 | 0.8924 | 74 | 0.9122 | 94 | 1.0014 | 63 | 0.9972 | 105 | 0.9388 | 112 | 0.9388 | 112 | 0.9521 | 124 | 0.9556 | 144 |
South West England | 0.8198 | 74 | 0.8791 | 87 | 0.8760 | 124 | 0.9945 | 74 | 0.9809 | 153 | 0.9503 | 80 | 0.9503 | 80 | 0.9636 | 86 | 0.9704 | 89 |
Wales | 0.7504 | 142 | 0.8044 | 143 | 0.8125 | 178 | 0.9640 | 146 | 0.9983 | 102 | 0.9474 | 90 | 0.9474 | 90 | 0.9603 | 96 | 0.9612 | 118 |
Scotland | 0.7652 | 130 | 0.8164 | 136 | 0.8084 | 179 | 0.9557 | 169 | 0.9563 | 217 | 0.9635 | 44 | 0.9635 | 44 | 0.9772 | 50 | 0.9794 | 64 |
Northern Ireland | 0.7173 | 160 | 0.7640 | 165 | 0.8009 | 187 | 0.9560 | 168 | 0.9681 | 183 | 0.9536 | 69 | 0.9536 | 69 | 0.9671 | 76 | 0.9736 | 80 |
United States | CI r | CI r m | CI r m,z | CI r | CI r m | CI r m, | CI r | CI r m | CI r m,z | |||||||||
Alabama | 0.8457 | 52 | 0.9241 | 54 | 0.9810 | 51 | 0.8885 | 275 | 0.9284 | 261 | 0.9587 | 50 | 0.9587 | 50 | 0.9753 | 54 | 0.9839 | 58 |
Alaska | 0.8335 | 61 | 0.9475 | 40 | 0.9318 | 86 | 0.9875 | 89 | 0.9566 | 216 | 0.9369 | 120 | 0.9369 | 120 | 0.9500 | 132 | 0.9376 | 194 |
Arizona | 0.7958 | 104 | 0.8622 | 103 | 0.9605 | 67 | 0.9168 | 238 | 0.9959 | 108 | 0.9098 | 195 | 0.9098 | 195 | 0.9233 | 199 | 0.9468 | 167 |
Arkansas | 0.8284 | 65 | 0.9090 | 69 | 0.9953 | 43 | 0.8919 | 272 | 0.9572 | 213 | 0.9189 | 176 | 0.9189 | 176 | 0.9331 | 177 | 0.9565 | 136 |
California | 0.7969 | 102 | 0.8886 | 77 | 0.8845 | 119 | 0.9267 | 221 | 0.9405 | 245 | 0.9490 | 86 | 0.9490 | 86 | 0.9655 | 83 | 0.9771 | 70 |
Colorado | 0.8801 | 25 | 0.9673 | 29 | 0.8921 | 112 | 0.9803 | 105 | 0.9792 | 156 | 0.9522 | 74 | 0.9522 | 74 | 0.9689 | 71 | 0.9529 | 154 |
Connecticut | 0.9342 | 13 | 1.0637 | 9 | 1.0515 | 6 | 0.9819 | 101 | 0.9931 | 117 | 0.8865 | 241 | 0.8865 | 241 | 0.9018 | 241 | 0.9068 | 260 |
Delaware | 0.9140 | 16 | 0.9969 | 19 | 1.0010 | 22 | 0.9379 | 209 | 0.9358 | 252 | 0.9992 | 6 | 0.9992 | 6 | 1.0272 | 5 | 1.0238 | 1 |
District of Columbia | 1.0000 | 1 | 1.2828 | 1 | 1.0737 | 3 | 0.8588 | 305 | 0.8639 | 315 | 0.9377 | 117 | 0.9377 | 117 | 0.9513 | 128 | 0.9600 | 123 |
Florida | 0.8448 | 55 | 0.9174 | 62 | 0.9719 | 59 | 0.9506 | 182 | 0.9892 | 128 | 0.9383 | 113 | 0.9383 | 113 | 0.9520 | 125 | 0.9614 | 117 |
Georgia | 0.8049 | 91 | 0.8792 | 86 | 0.9228 | 92 | 0.9042 | 257 | 0.9279 | 264 | 0.9165 | 180 | 0.9165 | 180 | 0.9315 | 181 | 0.9400 | 189 |
Hawaii | 0.8174 | 78 | 0.9394 | 47 | 0.8528 | 138 | 1.0733 | 20 | 1.0025 | 67 | 0.9922 | 8 | 0.9922 | 8 | 1.0080 | 9 | 0.9929 | 44 |
Idaho | 0.8377 | 58 | 0.9203 | 58 | 0.9419 | 82 | 0.9842 | 94 | 1.0265 | 20 | 0.8565 | 277 | 0.8565 | 277 | 0.8744 | 274 | 0.9268 | 218 |
Illinois | 0.8453 | 53 | 0.9212 | 56 | 0.9522 | 74 | 0.9203 | 234 | 0.9202 | 273 | 0.9380 | 115 | 0.9380 | 115 | 0.9514 | 127 | 0.9546 | 149 |
Indiana | 0.8498 | 43 | 0.9224 | 55 | 0.9450 | 81 | 0.9104 | 247 | 0.9121 | 287 | 0.9206 | 170 | 0.9206 | 170 | 0.9347 | 168 | 0.9429 | 176 |
Iowa | 0.9415 | 11 | 1.0271 | 15 | 0.9985 | 37 | 0.9889 | 83 | 0.9879 | 133 | 0.9595 | 49 | 0.9595 | 49 | 0.9768 | 52 | 0.9789 | 66 |
Kansas | 0.9021 | 22 | 0.9883 | 21 | 1.0437 | 8 | 0.9436 | 195 | 0.9433 | 242 | 0.9691 | 31 | 0.9691 | 31 | 0.9846 | 34 | 0.9868 | 52 |
Kentucky | 0.8241 | 71 | 0.9010 | 73 | 0.9782 | 54 | 0.9257 | 222 | 0.9987 | 99 | 0.9208 | 168 | 0.9208 | 168 | 0.9357 | 166 | 0.9619 | 113 |
Louisiana | 0.8157 | 79 | 0.8874 | 78 | 1.0042 | 19 | 0.8643 | 302 | 0.9599 | 207 | 0.9306 | 138 | 0.9306 | 138 | 0.9504 | 130 | 0.9991 | 30 |
Maine | 0.9464 | 10 | 1.0366 | 13 | 1.0302 | 10 | 1.0090 | 50 | 1.0080 | 44 | 0.9152 | 184 | 0.9152 | 184 | 0.9280 | 188 | 0.9323 | 206 |
Maryland | 0.9281 | 14 | 1.0334 | 14 | 1.0098 | 14 | 0.9219 | 230 | 0.9274 | 267 | 0.9683 | 34 | 0.9683 | 34 | 0.9832 | 37 | 0.9875 | 50 |
Massachusetts | 0.9245 | 15 | 1.0427 | 12 | 1.0421 | 9 | 1.0059 | 54 | 0.9991 | 98 | 0.9536 | 69 | 0.9536 | 69 | 0.9671 | 77 | 0.9678 | 99 |
Michigan | 0.8533 | 40 | 0.9314 | 50 | 0.9512 | 75 | 0.9282 | 219 | 0.9319 | 259 | 0.9678 | 36 | 0.9678 | 36 | 0.9811 | 42 | 0.9904 | 46 |
Minnesota | 0.9395 | 12 | 1.0442 | 11 | 1.0237 | 11 | 0.9919 | 81 | 0.9996 | 93 | 0.9514 | 77 | 0.9514 | 77 | 0.9688 | 72 | 0.9755 | 75 |
Mississippi | 0.7858 | 111 | 0.8545 | 107 | 0.9461 | 78 | 0.8995 | 266 | 0.9960 | 107 | 0.9681 | 35 | 0.9681 | 35 | 0.9830 | 38 | 1.0013 | 12 |
Missouri | 0.8763 | 30 | 0.9563 | 32 | 0.9568 | 72 | 0.9254 | 223 | 0.9225 | 269 | 0.8956 | 230 | 0.8956 | 230 | 0.9175 | 212 | 0.9156 | 242 |
Montana (US) | 0.9122 | 17 | 1.0000 | 18 | 1.0081 | 17 | 0.9901 | 82 | 1.0028 | 65 | 0.9525 | 73 | 0.9525 | 73 | 0.9653 | 84 | 0.9881 | 49 |
Nebraska | 0.9582 | 7 | 1.1185 | 5 | 1.0797 | 1 | 0.9555 | 170 | 0.9521 | 229 | 0.9443 | 95 | 0.9443 | 95 | 0.9743 | 59 | 0.9683 | 97 |
Nevada | 0.7892 | 109 | 0.8532 | 108 | 0.9693 | 63 | 0.9026 | 260 | 0.9701 | 179 | 0.9232 | 160 | 0.9232 | 160 | 0.9362 | 163 | 0.9562 | 138 |
New Hampshire | 0.9623 | 6 | 1.0764 | 8 | 1.0691 | 4 | 1.0130 | 42 | 1.0167 | 23 | 0.9734 | 27 | 0.9734 | 27 | 0.9863 | 30 | 0.9944 | 39 |
New Jersey | 0.8933 | 23 | 1.0174 | 16 | 1.0134 | 12 | 0.9446 | 193 | 0.9399 | 247 | 0.9059 | 206 | 0.9059 | 206 | 0.9227 | 201 | 0.9244 | 222 |
New Mexico | 0.7804 | 115 | 0.8531 | 109 | 0.9314 | 87 | 0.9078 | 253 | 0.9843 | 140 | 0.9345 | 128 | 0.9345 | 128 | 0.9488 | 134 | 0.9710 | 87 |
New York | 0.8476 | 50 | 0.9750 | 27 | 0.9600 | 68 | 0.9421 | 199 | 0.9553 | 219 | 0.9369 | 119 | 0.9369 | 119 | 0.9516 | 126 | 0.9616 | 115 |
North Carolina | 0.8347 | 60 | 0.9169 | 63 | 0.9918 | 47 | 0.9297 | 218 | 0.9985 | 100 | 0.9350 | 127 | 0.9350 | 127 | 0.9536 | 116 | 0.9672 | 104 |
North Dakota | 1.0000 | 1 | 1.2110 | 3 | 1.0088 | 15 | 0.9884 | 85 | 0.9769 | 163 | 0.9561 | 59 | 0.9561 | 59 | 0.9855 | 31 | 0.9686 | 94 |
Ohio | 0.8767 | 29 | 0.9611 | 31 | 0.9844 | 50 | 0.9397 | 204 | 0.9399 | 246 | 0.9586 | 51 | 0.9586 | 51 | 0.9723 | 62 | 0.9790 | 65 |
Oklahoma | 0.8493 | 45 | 0.9432 | 42 | 1.0132 | 13 | 0.8979 | 267 | 0.9280 | 263 | 0.9238 | 155 | 0.9238 | 155 | 0.9377 | 158 | 0.9467 | 170 |
Oregon | 0.8096 | 88 | 0.8745 | 91 | 0.8941 | 111 | 1.0121 | 44 | 1.0035 | 59 | 0.9141 | 188 | 0.9141 | 188 | 0.9293 | 185 | 0.9317 | 207 |
Pennsylvania | 0.9051 | 19 | 0.9867 | 22 | 0.9987 | 36 | 0.9382 | 208 | 0.9365 | 251 | 0.9415 | 101 | 0.9415 | 101 | 0.9553 | 109 | 0.9572 | 132 |
Rhode Island | 0.8653 | 36 | 0.9400 | 46 | 0.9542 | 73 | 0.9619 | 153 | 0.9575 | 212 | 0.9791 | 21 | 0.9791 | 21 | 0.9947 | 21 | 0.9962 | 37 |
South Carolina | 0.8489 | 46 | 0.9292 | 51 | 0.9806 | 52 | 0.9105 | 246 | 0.9471 | 239 | 0.9304 | 140 | 0.9304 | 140 | 0.9605 | 95 | 0.9368 | 196 |
South Dakota | 0.9484 | 9 | 1.0817 | 7 | 0.9694 | 62 | 0.9653 | 141 | 0.9633 | 195 | 0.9675 | 38 | 0.9675 | 38 | 0.9810 | 43 | 0.9684 | 95 |
Tennessee | 0.8447 | 56 | 0.9197 | 59 | 0.9917 | 48 | 0.9150 | 241 | 0.9721 | 176 | 0.9538 | 64 | 0.9538 | 64 | 0.9707 | 67 | 0.9838 | 59 |
Texas | 0.8248 | 69 | 0.9176 | 61 | 0.9858 | 49 | 0.9035 | 259 | 0.9193 | 275 | 0.9175 | 177 | 0.9175 | 177 | 0.9369 | 161 | 0.9380 | 193 |
Utah | 0.8310 | 63 | 0.9263 | 52 | 0.8371 | 153 | 1.0102 | 47 | 0.9833 | 143 | 0.9498 | 84 | 0.9498 | 84 | 0.9641 | 85 | 0.9504 | 159 |
Vermont | 1.0000 | 1 | 1.1177 | 6 | 1.0652 | 5 | 0.9880 | 87 | 0.9954 | 109 | 0.9920 | 9 | 0.9920 | 9 | 1.0180 | 6 | 1.0175 | 3 |
Virginia | 0.9044 | 20 | 0.9908 | 20 | 0.9711 | 61 | 0.9516 | 180 | 0.9580 | 211 | 0.9357 | 125 | 0.9357 | 125 | 0.9546 | 112 | 0.9543 | 151 |
Washington | 0.8590 | 37 | 0.9509 | 35 | 0.9456 | 80 | 1.0015 | 62 | 0.9994 | 97 | 0.9517 | 76 | 0.9517 | 76 | 0.9664 | 80 | 0.9677 | 100 |
West Virginia | 0.8681 | 34 | 0.9483 | 37 | 1.0023 | 20 | 0.9247 | 224 | 0.9980 | 103 | 0.9208 | 169 | 0.9208 | 169 | 0.9343 | 173 | 0.9576 | 129 |
Wisconsin | 0.9079 | 18 | 0.9815 | 24 | 0.9683 | 64 | 0.9766 | 117 | 0.9725 | 172 | 0.9388 | 111 | 0.9388 | 111 | 0.9531 | 120 | 0.9555 | 145 |
Wyoming | 0.9559 | 8 | 1.0600 | 10 | 0.9793 | 53 | 0.9786 | 108 | 0.9636 | 193 | 1.0000 | 1 | 1.0000 | 1 | 1.0174 | 7 | 1.0010 | 14 |
CIr = non-robust, unconditional BoD-estimated composite score, CIrm = robust, unconditional BoD-estimated composite score, CIrm,z = robust, conditional BoD-estimated composite score.
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Dardha, E., Rogge, N. How's Life in Your Region? Measuring Regional Material Living Conditions, Quality of Life and Subjective Well-Being in OECD Countries Using a Robust, Conditional Benefit-of-the-Doubt Model. Soc Indic Res 151, 1015–1073 (2020). https://doi.org/10.1007/s11205-020-02411-x
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DOI: https://doi.org/10.1007/s11205-020-02411-x