commit 00712e3e76b697edbb82e12219e5016e9bc565a4 Author: Gerardo Marx Chávez-Campos Date: Wed Jun 21 18:20:21 2023 -0600 session 0 and 1 ready diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..bf09089 --- /dev/null +++ b/.gitignore @@ -0,0 +1,3 @@ +.Trash-0 +__pycache__ +.ipynb_checkpoints diff --git a/0-intro-jupyter/main.ipynb b/0-intro-jupyter/main.ipynb new file mode 100644 index 0000000..5764cdc --- /dev/null +++ b/0-intro-jupyter/main.ipynb @@ -0,0 +1,390 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "79908dc6", + "metadata": {}, + "source": [ + "# How Jupyter works" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "408602ca", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'x' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn [1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mx\u001b[49m)\n", + "\u001b[0;31mNameError\u001b[0m: name 'x' is not defined" + ] + } + ], + "source": [ + "print(x)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "598f5bed", + "metadata": {}, + "outputs": [], + "source": [ + "x=3" + ] + }, + { + "cell_type": "markdown", + "id": "77d75f52", + "metadata": {}, + "source": [ + "## Basic commands\n", + "\n", + "Jupyter Notebook is widely used for data analysis. The notebooks documents are documents produced by the Jupyter Notebook App, which can contain both code (e.g. Python) and rich text elements (paragraphs, equations, links, etc.).\n", + "\n", + "The Jupyter Notebook App is a client-server application that allows editing and running notebook documents by a browser.\n", + "\n", + "### Shortcuts in both modes:\n", + "- Shift + Enter run the current cell, select below\n", + "- Ctrl + Enter run selected cells\n", + "- Alt + Enter run the current cell, insert below\n", + "- Ctrl + S save and checkpoint" + ] + }, + { + "cell_type": "markdown", + "id": "aea23ddf", + "metadata": {}, + "source": [ + "### While in command mode (press Esc to activate):\n", + "\n", + "Enter take you into edit mode\n", + "- H show all shortcuts\n", + "- Up select cell above\n", + "- Down select cell below\n", + "- Shift + Up extend selected cells above\n", + "- Shift + Down extend selected cells below\n", + "- A insert cell above\n", + "- B insert cell below\n", + "- X cut selected cells\n", + "- C copy selected cells\n", + "- V paste cells below\n", + "- Shift + V paste cells above\n", + "- D, D (press the key twice) delete selected cells\n", + "- Z undo cell deletion\n", + "- S Save and Checkpoint\n", + "- Y change the cell type to Code\n", + "- M change the cell type to Markdown\n", + "- P open the command palette\n", + "\n", + "This dialog helps you run any command by name. It’s really useful if you don’t know some shortcut or when you don’t have a shortcut for the wanted command.\n", + "\n", + "- Shift + Space scroll notebook up\n", + "- Space scroll notebook down" + ] + }, + { + "cell_type": "markdown", + "id": "6066c3fc", + "metadata": {}, + "source": [ + "### While in edit mode (press Enter to activate)\n", + "- Esc take you into command mode\n", + "- Tab code completion or indent\n", + "- Shift + Tab tooltip\n", + "- Ctrl + ] indent\n", + "- Ctrl + [ dedent\n", + "- Ctrl + A select all\n", + "- Ctrl + Z undo\n", + "- Ctrl + Shift + Z or Ctrl + Y redo\n", + "- Ctrl + Home go to cell start\n", + "- Ctrl + End go to cell end\n", + "- Ctrl + Left go one word left\n", + "- Ctrl + Right go one word right\n", + "- Ctrl + Shift + P open the command palette\n", + "- Down move cursor down\n", + "- Up move cursor up" + ] + }, + { + "cell_type": "markdown", + "id": "dad4c1fb", + "metadata": {}, + "source": [ + "# Basics of Python and Programming\n", + "## Using conditionals" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9272c3fd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "El valor es positivo\n" + ] + } + ], + "source": [ + "x = 1 #int(input('Introduce un numero: '))\n", + "if x<0:\n", + " print('El valor es negativo')\n", + "else:\n", + " print(\"El valor es positivo\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "90916e74", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Introduce un numero: -5\n", + "El valor es negativo\n" + ] + } + ], + "source": [ + "x = int(input('Introduce un numero: '))\n", + "if x<0:\n", + " print('El valor es negativo')\n", + "else:\n", + " print(\"El valor es positivo\")" + ] + }, + { + "cell_type": "markdown", + "id": "e246b55e", + "metadata": {}, + "source": [ + "## Using for loops" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7d68db25", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "juan\n", + "israel\n", + "jonathan\n", + "homero\n" + ] + } + ], + "source": [ + "nombres = ['juan', 'israel', 'jonathan', 'homero']\n", + "for n in nombres:\n", + " print(n)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b5a09022", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1\n", + "2\n", + "3\n", + "4\n", + "5\n", + "6\n", + "7\n", + "8\n", + "9\n", + "10\n" + ] + } + ], + "source": [ + "for n in range(1,11):\n", + " print(n)" + ] + }, + { + "cell_type": "markdown", + "id": "e163a7e0", + "metadata": {}, + "source": [ + "## Arrays and indexing" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "d98ef5bd", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "a = np.array([[1,2],[3,4],[5,6]])" + ] + }, + { + "cell_type": "markdown", + "id": "096d51b8", + "metadata": {}, + "source": [ + "## Functions " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "fd363297", + "metadata": {}, + "outputs": [], + "source": [ + "# how to crate functions\n", + "def myFuncion(x):\n", + " y = np.sin(x)/np.cos(x)\n", + " return y" + ] + }, + { + "cell_type": "markdown", + "id": "d8fada9a", + "metadata": {}, + "source": [ + "## Making basic plots" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "b956d7c9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "time = np.linspace(0,10)\n", + "y = myFuncion(time)\n", + "y2 = np.tan(time)\n", + "plt.plot(time, y/2,'-g*')\n", + "plt.plot(time, y2, ':m+')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "280bf852", + "metadata": {}, + "source": [ + "### Subplot" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "048067ac", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.subplot(3,1,1)\n", + "plt.plot(time, np.sin(time),'r', label='$y_1$')\n", + "plt.legend()\n", + "plt.subplot(3,1,2)\n", + "plt.plot(time, np.cos(time),'g',label='y2')\n", + "plt.legend()\n", + "plt.subplot(3,1,3)\n", + "plt.plot(time, np.tan(time),'k', label='y3')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "8236e97a", + "metadata": {}, + "source": [ + "# Some additions task and work" + ] + }, + { + "cell_type": "markdown", + "id": "937e9070", + "metadata": {}, + "source": [ + "- Make function that computes the factorial of a given numer using for loops\n", + "- Make a function that computes 4 functions (sin, cos, tan, logistic) and plots \n", + "- Make a function that recive your age and classifies you as baby, teenager, ...." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9204368f", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/1-ml-landscape/gdp_per_capita.csv b/1-ml-landscape/gdp_per_capita.csv new file mode 100644 index 0000000..c4fc3db --- /dev/null +++ b/1-ml-landscape/gdp_per_capita.csv @@ -0,0 +1,192 @@ +Country Subject Descriptor Units Scale Country/Series-specific Notes 2015 Estimates Start After +Afghanistan Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 599.994 2013 +Albania Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,995.383 2010 +Algeria Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 4,318.135 2014 +Angola Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 4,100.315 2014 +Antigua and Barbuda Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 14,414.302 2011 +Argentina Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 13,588.846 2013 +Armenia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,534.860 2014 +Australia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 50,961.865 2014 +Austria Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 43,724.031 2015 +Azerbaijan Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 5,739.433 2014 +The Bahamas Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 23,902.805 2013 +Bahrain Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 23,509.981 2014 +Bangladesh Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,286.868 2013 +Barbados Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 15,773.555 2010 +Belarus Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 5,749.119 2013 +Belgium Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 40,106.632 2014 +Belize Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 4,841.735 2013 +Benin Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 780.063 2011 +Bhutan Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 2,843.402 2011 +Bolivia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 2,886.231 2012 +Bosnia and Herzegovina Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 4,088.212 2014 +Botswana Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 6,040.957 2008 +Brazil Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 8,669.998 2014 +Brunei Darussalam Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 28,236.640 2013 +Bulgaria Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 6,831.661 2014 +Burkina Faso Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 614.500 2012 +Burundi Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 305.783 0 +Cabo Verde Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,038.511 2014 +Cambodia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,168.036 2012 +Cameroon Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,232.423 2010 +Canada Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 43,331.961 2015 +Central African Republic Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 334.870 2004 +Chad Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 941.903 2004 +Chile Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 13,340.905 2014 +China Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 7,989.720 2015 +Colombia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 6,083.510 2014 +Comoros Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 736.348 2003 +Democratic Republic of the Congo Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 475.916 1983 +Republic of Congo Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 2,032.267 2004 +Costa Rica Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 10,936.243 2011 +Cte d'Ivoire Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,314.678 2012 +Croatia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 11,572.905 2013 +Cyprus Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 22,587.490 2014 +Czech Republic Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 17,256.918 2015 +Denmark Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 52,114.165 2015 +Djibouti Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,788.363 2009 +Dominica Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 7,030.145 2011 +Dominican Republic Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 6,755.736 2014 +Ecuador Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 6,070.951 2014 +Egypt Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,740.249 2014 +El Salvador Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 4,040.317 2007 +Equatorial Guinea Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 11,762.386 2010 +Eritrea Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 694.753 2006 +Estonia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 17,288.083 2014 +Ethiopia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 686.593 2008 +Fiji Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 5,373.633 2013 +Finland Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 41,973.988 2014 +France Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 37,675.006 2015 +Gabon Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 7,735.939 0 +The Gambia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 450.859 2010 +Georgia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,788.624 2013 +Germany Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 40,996.511 2014 +Ghana Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,340.416 0 +Greece Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 18,064.288 2014 +Grenada Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 8,936.578 2011 +Guatemala Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,929.081 2010 +Guinea Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 542.417 2009 +Guinea-Bissau Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 594.940 2004 +Guyana Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 4,125.021 2002 +Haiti Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 804.564 0 +Honduras Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 2,406.615 2001 +Hong Kong SAR Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 42,389.630 2015 +Hungary Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 12,239.894 2015 +Iceland Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 50,854.583 2014 +India Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,617.309 2013 +Indonesia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,362.357 2014 +Islamic Republic of Iran Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 4,877.069 2012 +Iraq Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 4,819.487 2013 +Ireland Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 51,350.744 2014 +Israel Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 35,343.336 2015 +Italy Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 29,866.581 2015 +Jamaica Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 4,948.018 2014 +Japan Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 32,485.545 2015 +Jordan Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 5,513.009 2014 +Kazakhstan Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 9,795.629 2014 +Kenya Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,388.450 2013 +Kiribati Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,427.619 2013 +Korea Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 27,195.197 2014 +Kosovo Gross domestic product per capita, current prices U.S. dollars Units +Kuwait Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 29,363.027 2014 +Kyrgyz Republic Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,112.810 2012 +Lao P.D.R. Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,778.713 2012 +Latvia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 13,618.569 2015 +Lebanon Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 11,236.793 2012 +Lesotho Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,051.606 2006 +Liberia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 473.636 2009 +Libya Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 6,058.671 2014 +Lithuania Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 14,210.280 2015 +Luxembourg Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 101,994.093 2014 +FYR Macedonia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 4,786.840 2014 +Madagascar Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 401.771 2006 +Malawi Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 354.275 2011 +Malaysia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 9,556.774 2014 +Maldives Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 8,999.971 2006 +Mali Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 801.844 2010 +Malta Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 22,828.897 2014 +Marshall Islands Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,355.547 2013 +Mauritania Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,282.331 2012 +Mauritius Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 9,218.428 2014 +Mexico Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 9,009.280 2015 +Micronesia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,072.685 2013 +Moldova Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,804.685 2015 +Mongolia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,951.906 2014 +Montenegro Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 6,489.101 2014 +Morocco Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,078.593 2014 +Mozambique Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 534.879 2013 +Myanmar Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,291.963 2007 +Namibia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 5,776.903 2008 +Nepal Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 751.120 2012 +Netherlands Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 43,603.115 2014 +New Zealand Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 37,044.891 2015 +Nicaragua Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,949.232 2013 +Niger Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 405.213 2009 +Nigeria Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 2,742.861 2012 +Norway Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 74,822.106 2015 +Oman Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 15,232.961 2012 +Pakistan Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,449.978 2015 +Palau Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 16,070.421 2014 +Panama Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 13,012.562 2013 +Papua New Guinea Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 2,084.713 2012 +Paraguay Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 4,009.567 2014 +Peru Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 6,021.104 2015 +Philippines Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 2,858.144 2015 +Poland Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 12,495.334 2014 +Portugal Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 19,121.592 2014 +Qatar Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 76,576.080 2014 +Romania Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 8,906.296 2015 +Russia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 9,054.914 2015 +Rwanda Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 731.512 2012 +Samoa Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 4,334.217 2011 +San Marino Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 49,846.896 2014 +So Tom and Prncipe Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,568.968 2011 +Saudi Arabia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 20,812.586 2010 +Senegal Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 913.024 2011 +Serbia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 5,119.757 2014 +Seychelles Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 14,940.706 2013 +Sierra Leone Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 659.438 2014 +Singapore Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 52,887.770 2014 +Slovak Republic Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 15,991.736 2015 +Slovenia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 20,732.482 2015 +Solomon Islands Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,952.481 2014 +South Africa Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 5,694.572 2014 +South Sudan Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 220.860 2008 +Spain Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 25,864.721 2014 +Sri Lanka Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,889.411 2012 +St. Kitts and Nevis Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 16,109.707 2003 +St. Lucia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 8,191.984 2012 +St. Vincent and the Grenadines Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 6,882.286 2014 +Sudan Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 2,175.397 2010 +Suriname Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 9,305.687 2011 +Swaziland Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,139.664 2014 +Sweden Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 49,866.266 2014 +Switzerland Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 80,675.308 2015 +Syria Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). n/a 2010 +Taiwan Province of China Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 22,287.562 2015 +Tajikistan Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 922.072 2014 +Tanzania Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 941.804 2012 +Thailand Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 5,742.282 2014 +Timor-Leste Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 2,244.307 2011 +Togo Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 569.435 2010 +Tonga Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,972.741 2012 +Trinidad and Tobago Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 18,085.759 2012 +Tunisia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,922.653 2010 +Turkey Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 9,437.372 2013 +Turkmenistan Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 6,622.414 2004 +Tuvalu Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 3,014.630 2012 +Uganda Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 620.213 2014 +Ukraine Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 2,004.918 2015 +United Arab Emirates Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 36,060.015 2010 +United Kingdom Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 43,770.688 2015 +United States Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 55,805.204 2015 +Uruguay Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 15,748.192 2014 +Uzbekistan Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 2,120.778 2013 +Vanuatu Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 2,847.113 2014 +Venezuela Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 7,744.746 2010 +Vietnam Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 2,088.344 2012 +Yemen Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,302.940 2008 +Zambia Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,350.151 2010 +Zimbabwe Gross domestic product per capita, current prices U.S. dollars Units See notes for: Gross domestic product, current prices (National currency) Population (Persons). 1,064.350 2012 + +International Monetary Fund, World Economic Outlook Database, April 2016 \ No newline at end of file diff --git a/1-ml-landscape/main.ipynb b/1-ml-landscape/main.ipynb new file mode 100644 index 0000000..5dc472a --- /dev/null +++ b/1-ml-landscape/main.ipynb @@ -0,0 +1,3212 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e4f267ab", + "metadata": {}, + "source": [ + "# Laboratory Session 1: Machine Learning Landscape\n", + "\n", + "## Introducción\n", + "\n", + "Para la presente sesión (Machine Learning Landscape) el alumno explorará el uso del entorno Jupyter para el análisis de datos y programación enfocada a la ciencia de datos. \n", + "\n", + "En esta sesión aprenderá los conceptos básicos de los módulos `Numpy`, `Pandas`, `Matplotlib` y `Sklearn` a través del desarrollo de **un modelo lineal para determinar el nivel de satisfacción de vida a partir del parámetro GDP**. En consecuencia, el modelo desarrollado utiliza como datos de entrenamiento información recolectada por la OECD y GDP. Los parámetros obtenidos después del entrenamiento son usados para evaluar por inspección visual el comportamiento de los datos contra los datos reales. Por lo tanto, para la presente sección se pueden identificar los siguientes objetivos.\n", + "\n", + "Objetivo General: *Desarrollar un modelo basado en la regresión lineal usando las funciones `fit` del módulo Sklearn para determinar el nivel de satisfacción de vida en función de GDP de cada país.*\n", + "\n", + "Objetivos Específicos:\n", + "\n", + "- Aprender el arranque y manejo básico de la plataforma Jupyter y los comandos de inserción, copia, borrado y evaluación de celdas\n", + "- Identificar el procedimiento de instalación de módulos nuevos en Python usando el comando **pip3​** \n", + "- Conocer el procedimiento de lectura de archivos CSV\n", + "- Relacionarse con el procedimiento de acceso a datos por nombres de columnas, manipulación, edición y filtrado de datos con la estructura de Pandas\n", + "- Crear una función en Python para leer las bases de datos de la OECD y GDP, y posteriormente crear una nueva base de datos que exclusivamente incluyan \"Life Satisfaction\" y \"GDP per capita\"\n", + "- Entrenar un modelo basado en la regresión lineal \n", + "- Comparar el modelo con los datos reales y determinar nuevos valores de instancias" + ] + }, + { + "cell_type": "markdown", + "id": "53912466", + "metadata": {}, + "source": [ + "# The Data: Life Satisfaction and GDP per capita\n", + "The next sections will explorer the two datasets: 1) Organisation for Economic Co-operation and Development and 2)International Monetary Fund.\n", + "\n", + "## Life satisfaction data description\n", + "\n", + "This dataset was obtained from the OECD's website at: http://stats.oecd.org/index.aspx?DataSetCode=BLI\n", + "\n", + "```\n", + "Int64Index: 3292 entries, 0 to 3291\n", + "Data columns (total 17 columns):\n", + "\"LOCATION\" 3292 non-null object\n", + "Country 3292 non-null object\n", + "INDICATOR 3292 non-null object\n", + "Indicator 3292 non-null object\n", + "MEASURE 3292 non-null object\n", + "Measure 3292 non-null object\n", + "INEQUALITY 3292 non-null object\n", + "Inequality 3292 non-null object\n", + "Unit Code 3292 non-null object\n", + "Unit 3292 non-null object\n", + "PowerCode Code 3292 non-null int64\n", + "PowerCode 3292 non-null object\n", + "Reference Period Code 0 non-null float64\n", + "Reference Period 0 non-null float64\n", + "Value 3292 non-null float64\n", + "Flag Codes 1120 non-null object\n", + "Flags 1120 non-null object\n", + "dtypes: float64(3), int64(1), object(13)\n", + "memory usage: 462.9+ KB\n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "id": "72915229", + "metadata": {}, + "source": [ + "### Example using Python Pandas\n", + "\n", + "```\n", + ">>> life_sat = pd.read_csv(\"oecd_bli_2015.csv\", thousands=',')\n", + "\n", + ">>> life_sat_total = life_sat[life_sat[\"INEQUALITY\"]==\"TOT\"]\n", + "\n", + ">>> life_sat_total = life_sat_total.pivot(index=\"Country\", columns=\"Indicator\", values=\"Value\")\n", + "\n", + ">>> life_sat_total.info()\n", + "\n", + "Index: 37 entries, Australia to United States\n", + "Data columns (total 24 columns):\n", + "Air pollution 37 non-null float64\n", + "Assault rate 37 non-null float64\n", + "Consultation on rule-making 37 non-null float64\n", + "Dwellings without basic facilities 37 non-null float64\n", + "Educational attainment 37 non-null float64\n", + "Employees working very long hours 37 non-null float64\n", + "Employment rate 37 non-null float64\n", + "Homicide rate 37 non-null float64\n", + "Household net adjusted disposable income 37 non-null float64\n", + "Household net financial wealth 37 non-null float64\n", + "Housing expenditure 37 non-null float64\n", + "Job security 37 non-null float64\n", + "Life expectancy 37 non-null float64\n", + "Life satisfaction 37 non-null float64\n", + "Long-term unemployment rate 37 non-null float64\n", + "Personal earnings 37 non-null float64\n", + "Quality of support network 37 non-null float64\n", + "Rooms per person 37 non-null float64\n", + "Self-reported health 37 non-null float64\n", + "Student skills 37 non-null float64\n", + "Time devoted to leisure and personal care 37 non-null float64\n", + "Voter turnout 37 non-null float64\n", + "Water quality 37 non-null float64\n", + "Years in education 37 non-null float64\n", + "dtypes: float64(24)\n", + "memory usage: 7.2+ KB\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "86e530da", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 3292 entries, 0 to 3291\n", + "Data columns (total 17 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 LOCATION 3292 non-null object \n", + " 1 Country 3292 non-null object \n", + " 2 INDICATOR 3292 non-null object \n", + " 3 Indicator 3292 non-null object \n", + " 4 MEASURE 3292 non-null object \n", + " 5 Measure 3292 non-null object \n", + " 6 INEQUALITY 3292 non-null object \n", + " 7 Inequality 3292 non-null object \n", + " 8 Unit Code 3292 non-null object \n", + " 9 Unit 3292 non-null object \n", + " 10 PowerCode Code 3292 non-null int64 \n", + " 11 PowerCode 3292 non-null object \n", + " 12 Reference Period Code 0 non-null float64\n", + " 13 Reference Period 0 non-null float64\n", + " 14 Value 3292 non-null float64\n", + " 15 Flag Codes 1120 non-null object \n", + " 16 Flags 1120 non-null object \n", + "dtypes: float64(3), int64(1), object(13)\n", + "memory usage: 437.3+ KB\n" + ] + } + ], + "source": [ + "# Load the data\n", + "import numpy as np\n", + "import pandas as pd\n", + "url = \"https://raw.githubusercontent.com/machine-learning-course-uac/1-ml-landscape/main/oecd_bli_2015.csv\"\n", + "oecd_bli = pd.read_csv(url, thousands=',')\n", + "oecd_bli.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7a58ef40", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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LOCATIONCountryINDICATORIndicatorMEASUREMeasureINEQUALITYInequalityUnit CodeUnitPowerCode CodePowerCodeReference Period CodeReference PeriodValueFlag CodesFlags
0AUSAustraliaHO_BASEDwellings without basic facilitiesLValueTOTTotalPCPercentage0unitsNaNNaN1.10EEstimated value
1AUTAustriaHO_BASEDwellings without basic facilitiesLValueTOTTotalPCPercentage0unitsNaNNaN1.00NaNNaN
2BELBelgiumHO_BASEDwellings without basic facilitiesLValueTOTTotalPCPercentage0unitsNaNNaN2.00NaNNaN
3CANCanadaHO_BASEDwellings without basic facilitiesLValueTOTTotalPCPercentage0unitsNaNNaN0.20NaNNaN
4CZECzech RepublicHO_BASEDwellings without basic facilitiesLValueTOTTotalPCPercentage0unitsNaNNaN0.90NaNNaN
......................................................
3287ESTEstoniaWL_TNOWTime devoted to leisure and personal careLValueWMNWomenHOURHours0unitsNaNNaN14.43NaNNaN
3288ISRIsraelWL_TNOWTime devoted to leisure and personal careLValueWMNWomenHOURHours0unitsNaNNaN14.24EEstimated value
3289RUSRussiaWL_TNOWTime devoted to leisure and personal careLValueWMNWomenHOURHours0unitsNaNNaN14.75EEstimated value
3290SVNSloveniaWL_TNOWTime devoted to leisure and personal careLValueWMNWomenHOURHours0unitsNaNNaN14.12NaNNaN
3291OECDOECD - TotalWL_TNOWTime devoted to leisure and personal careLValueWMNWomenHOURHours0unitsNaNNaN14.74NaNNaN
\n", + "

3292 rows × 17 columns

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" + ], + "text/plain": [ + " LOCATION Country INDICATOR \\\n", + "0 AUS Australia HO_BASE \n", + "1 AUT Austria HO_BASE \n", + "2 BEL Belgium HO_BASE \n", + "3 CAN Canada HO_BASE \n", + "4 CZE Czech Republic HO_BASE \n", + "... ... ... ... \n", + "3287 EST Estonia WL_TNOW \n", + "3288 ISR Israel WL_TNOW \n", + "3289 RUS Russia WL_TNOW \n", + "3290 SVN Slovenia WL_TNOW \n", + "3291 OECD OECD - Total WL_TNOW \n", + "\n", + " Indicator MEASURE Measure INEQUALITY \\\n", + "0 Dwellings without basic facilities L Value TOT \n", + "1 Dwellings without basic facilities L Value TOT \n", + "2 Dwellings without basic facilities L Value TOT \n", + "3 Dwellings without basic facilities L Value TOT \n", + "4 Dwellings without basic facilities L Value TOT \n", + "... ... ... ... ... \n", + "3287 Time devoted to leisure and personal care L Value WMN \n", + "3288 Time devoted to leisure and personal care L Value WMN \n", + "3289 Time devoted to leisure and personal care L Value WMN \n", + "3290 Time devoted to leisure and personal care L Value WMN \n", + "3291 Time devoted to leisure and personal care L Value WMN \n", + "\n", + " Inequality Unit Code Unit PowerCode Code PowerCode \\\n", + "0 Total PC Percentage 0 units \n", + "1 Total PC Percentage 0 units \n", + "2 Total PC Percentage 0 units \n", + "3 Total PC Percentage 0 units \n", + "4 Total PC Percentage 0 units \n", + "... ... ... ... ... ... \n", + "3287 Women HOUR Hours 0 units \n", + "3288 Women HOUR Hours 0 units \n", + "3289 Women HOUR Hours 0 units \n", + "3290 Women HOUR Hours 0 units \n", + "3291 Women HOUR Hours 0 units \n", + "\n", + " Reference Period Code Reference Period Value Flag Codes \\\n", + "0 NaN NaN 1.10 E \n", + "1 NaN NaN 1.00 NaN \n", + "2 NaN NaN 2.00 NaN \n", + "3 NaN NaN 0.20 NaN \n", + "4 NaN NaN 0.90 NaN \n", + "... ... ... ... ... \n", + "3287 NaN NaN 14.43 NaN \n", + "3288 NaN NaN 14.24 E \n", + "3289 NaN NaN 14.75 E \n", + "3290 NaN NaN 14.12 NaN \n", + "3291 NaN NaN 14.74 NaN \n", + "\n", + " Flags \n", + "0 Estimated value \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "3287 NaN \n", + "3288 Estimated value \n", + "3289 Estimated value \n", + "3290 NaN \n", + "3291 NaN \n", + "\n", + "[3292 rows x 17 columns]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "oecd_bli" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "d1c803f7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Int64Index: 888 entries, 0 to 3217\n", + "Data columns (total 17 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 LOCATION 888 non-null object \n", + " 1 Country 888 non-null object \n", + " 2 INDICATOR 888 non-null object \n", + " 3 Indicator 888 non-null object \n", + " 4 MEASURE 888 non-null object \n", + " 5 Measure 888 non-null object \n", + " 6 INEQUALITY 888 non-null object \n", + " 7 Inequality 888 non-null object \n", + " 8 Unit Code 888 non-null object \n", + " 9 Unit 888 non-null object \n", + " 10 PowerCode Code 888 non-null int64 \n", + " 11 PowerCode 888 non-null object \n", + " 12 Reference Period Code 0 non-null float64\n", + " 13 Reference Period 0 non-null float64\n", + " 14 Value 888 non-null float64\n", + " 15 Flag Codes 58 non-null object \n", + " 16 Flags 58 non-null object \n", + "dtypes: float64(3), int64(1), object(13)\n", + "memory usage: 124.9+ KB\n" + ] + } + ], + "source": [ + "life_sat_total = oecd_bli[oecd_bli[\"INEQUALITY\"]==\"TOT\"]\n", + "life_sat_total.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "426e54c9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Int64Index: 24 entries, 1 to 3182\n", + "Data columns (total 17 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 LOCATION 24 non-null object \n", + " 1 Country 24 non-null object \n", + " 2 INDICATOR 24 non-null object \n", + " 3 Indicator 24 non-null object \n", + " 4 MEASURE 24 non-null object \n", + " 5 Measure 24 non-null object \n", + " 6 INEQUALITY 24 non-null object \n", + " 7 Inequality 24 non-null object \n", + " 8 Unit Code 24 non-null object \n", + " 9 Unit 24 non-null object \n", + " 10 PowerCode Code 24 non-null int64 \n", + " 11 PowerCode 24 non-null object \n", + " 12 Reference Period Code 0 non-null float64\n", + " 13 Reference Period 0 non-null float64\n", + " 14 Value 24 non-null float64\n", + " 15 Flag Codes 0 non-null object \n", + " 16 Flags 0 non-null object \n", + "dtypes: float64(3), int64(1), object(13)\n", + "memory usage: 3.4+ KB\n" + ] + } + ], + "source": [ + "new = life_sat_total[life_sat_total[\"Country\"]=='Austria']\n", + "new.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "20e499fb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IndicatorAir pollutionAssault rateConsultation on rule-makingDwellings without basic facilitiesEducational attainmentEmployees working very long hoursEmployment rateHomicide rateHousehold net adjusted disposable incomeHousehold net financial wealth...Long-term unemployment ratePersonal earningsQuality of support networkRooms per personSelf-reported healthStudent skillsTime devoted to leisure and personal careVoter turnoutWater qualityYears in education
Country
Australia13.02.110.51.176.014.0272.00.831588.047657.0...1.0850449.092.02.385.0512.014.4193.091.019.4
Austria27.03.47.11.083.07.6172.00.431173.049887.0...1.1945199.089.01.669.0500.014.4675.094.017.0
Belgium21.06.64.52.072.04.5762.01.128307.083876.0...3.8848082.094.02.274.0509.015.7189.087.018.9
Brazil18.07.94.06.745.010.4167.025.511664.06844.0...1.9717177.090.01.669.0402.014.9779.072.016.3
Canada15.01.310.50.289.03.9472.01.529365.067913.0...0.9046911.092.02.589.0522.014.2561.091.017.2
Chile46.06.92.09.457.015.4262.04.414533.017733.0...1.5922101.086.01.259.0436.014.4149.073.016.5
Czech Republic16.02.86.80.992.06.9868.00.818404.017299.0...3.1220338.085.01.460.0500.014.9859.085.018.1
Denmark15.03.97.00.978.02.0373.00.326491.044488.0...1.7848347.095.01.972.0498.016.0688.094.019.4
Estonia9.05.53.38.190.03.3068.04.815167.07680.0...3.8218944.089.01.554.0526.014.9064.079.017.5
Finland15.02.49.00.685.03.5869.01.427927.018761.0...1.7340060.095.01.965.0529.014.8969.094.019.7
France12.05.03.50.573.08.1564.00.628799.048741.0...3.9940242.087.01.867.0500.015.3380.082.016.4
Germany16.03.64.50.186.05.2573.00.531252.050394.0...2.3743682.094.01.865.0515.015.3172.095.018.2
Greece27.03.76.50.768.06.1649.01.618575.014579.0...18.3925503.083.01.274.0466.014.9164.069.018.6
Hungary15.03.67.94.882.03.1958.01.315442.013277.0...5.1020948.087.01.157.0487.015.0462.077.017.6
Iceland18.02.75.10.471.012.2582.00.323965.043045.0...1.1855716.096.01.577.0484.014.6181.097.019.8
Ireland13.02.69.00.275.04.2060.00.823917.031580.0...8.3949506.096.02.182.0516.015.1970.080.017.6
Israel21.06.42.53.785.016.0367.02.322104.052933.0...0.7928817.087.01.280.0474.014.4868.068.015.8
Italy21.04.75.01.157.03.6656.00.725166.054987.0...6.9434561.090.01.466.0490.014.9875.071.016.8
Japan24.01.47.36.494.022.2672.00.326111.086764.0...1.6735405.089.01.830.0540.014.9353.085.016.3
Korea30.02.110.44.282.018.7264.01.119510.029091.0...0.0136354.072.01.435.0542.014.6376.078.017.5
Luxembourg12.04.36.00.178.03.4766.00.438951.061765.0...1.7856021.087.02.072.0490.015.1291.086.015.1
Mexico30.012.89.04.237.028.8361.023.413085.09056.0...0.0816193.077.01.066.0417.013.8963.067.014.4
Netherlands30.04.96.10.073.00.4574.00.927888.077961.0...2.4047590.090.02.076.0519.015.4475.092.018.7
New Zealand11.02.210.30.274.013.8773.01.223815.028290.0...0.7535609.094.02.490.0509.014.8777.089.018.1
Norway16.03.38.10.382.02.8275.00.633492.08797.0...0.3250282.094.02.076.0496.015.5678.094.017.9
OECD - Total20.03.97.32.475.012.5165.04.025908.067139.0...2.7936118.088.01.868.0497.014.9768.081.017.7
Poland33.01.410.83.290.07.4160.00.917852.010919.0...3.7722655.091.01.158.0521.014.2055.079.018.4
Portugal18.05.76.50.938.09.6261.01.120086.031245.0...9.1123688.086.01.646.0488.014.9558.086.017.6
Russia15.03.82.515.194.00.1669.012.819292.03412.0...1.7020885.090.00.937.0481.014.9765.056.016.0
Slovak Republic13.03.06.60.692.07.0260.01.217503.08663.0...9.4620307.090.01.166.0472.014.9959.081.016.3
Slovenia26.03.910.30.585.05.6363.00.419326.018465.0...5.1532037.090.01.565.0499.014.6252.088.018.4
Spain24.04.27.30.155.05.8956.00.622477.024774.0...12.9634824.095.01.972.0490.016.0669.071.017.6
Sweden10.05.110.90.088.01.1374.00.729185.060328.0...1.3740818.092.01.781.0482.015.1186.095.019.3
Switzerland20.04.28.40.086.06.7280.00.533491.0108823.0...1.4654236.096.01.881.0518.014.9849.096.017.3
Turkey35.05.05.512.734.040.8650.01.214095.03251.0...2.3716919.086.01.168.0462.013.4288.062.016.4
United Kingdom13.01.911.50.278.012.7071.00.327029.060778.0...2.7741192.091.01.974.0502.014.8366.088.016.4
United States18.01.58.30.189.011.3067.05.241355.0145769.0...1.9156340.090.02.488.0492.014.2768.085.017.2
\n", + "

37 rows × 24 columns

\n", + "
" + ], + "text/plain": [ + "Indicator Air pollution Assault rate Consultation on rule-making \\\n", + "Country \n", + "Australia 13.0 2.1 10.5 \n", + "Austria 27.0 3.4 7.1 \n", + "Belgium 21.0 6.6 4.5 \n", + "Brazil 18.0 7.9 4.0 \n", + "Canada 15.0 1.3 10.5 \n", + "Chile 46.0 6.9 2.0 \n", + "Czech Republic 16.0 2.8 6.8 \n", + "Denmark 15.0 3.9 7.0 \n", + "Estonia 9.0 5.5 3.3 \n", + "Finland 15.0 2.4 9.0 \n", + "France 12.0 5.0 3.5 \n", + "Germany 16.0 3.6 4.5 \n", + "Greece 27.0 3.7 6.5 \n", + "Hungary 15.0 3.6 7.9 \n", + "Iceland 18.0 2.7 5.1 \n", + "Ireland 13.0 2.6 9.0 \n", + "Israel 21.0 6.4 2.5 \n", + "Italy 21.0 4.7 5.0 \n", + "Japan 24.0 1.4 7.3 \n", + "Korea 30.0 2.1 10.4 \n", + "Luxembourg 12.0 4.3 6.0 \n", + "Mexico 30.0 12.8 9.0 \n", + "Netherlands 30.0 4.9 6.1 \n", + "New Zealand 11.0 2.2 10.3 \n", + "Norway 16.0 3.3 8.1 \n", + "OECD - Total 20.0 3.9 7.3 \n", + "Poland 33.0 1.4 10.8 \n", + "Portugal 18.0 5.7 6.5 \n", + "Russia 15.0 3.8 2.5 \n", + "Slovak Republic 13.0 3.0 6.6 \n", + "Slovenia 26.0 3.9 10.3 \n", + "Spain 24.0 4.2 7.3 \n", + "Sweden 10.0 5.1 10.9 \n", + "Switzerland 20.0 4.2 8.4 \n", + "Turkey 35.0 5.0 5.5 \n", + "United Kingdom 13.0 1.9 11.5 \n", + "United States 18.0 1.5 8.3 \n", + "\n", + "Indicator Dwellings without basic facilities Educational attainment \\\n", + "Country \n", + "Australia 1.1 76.0 \n", + "Austria 1.0 83.0 \n", + "Belgium 2.0 72.0 \n", + "Brazil 6.7 45.0 \n", + "Canada 0.2 89.0 \n", + "Chile 9.4 57.0 \n", + "Czech Republic 0.9 92.0 \n", + "Denmark 0.9 78.0 \n", + "Estonia 8.1 90.0 \n", + "Finland 0.6 85.0 \n", + "France 0.5 73.0 \n", + "Germany 0.1 86.0 \n", + "Greece 0.7 68.0 \n", + "Hungary 4.8 82.0 \n", + "Iceland 0.4 71.0 \n", + "Ireland 0.2 75.0 \n", + "Israel 3.7 85.0 \n", + "Italy 1.1 57.0 \n", + "Japan 6.4 94.0 \n", + "Korea 4.2 82.0 \n", + "Luxembourg 0.1 78.0 \n", + "Mexico 4.2 37.0 \n", + "Netherlands 0.0 73.0 \n", + "New Zealand 0.2 74.0 \n", + "Norway 0.3 82.0 \n", + "OECD - Total 2.4 75.0 \n", + "Poland 3.2 90.0 \n", + "Portugal 0.9 38.0 \n", + "Russia 15.1 94.0 \n", + "Slovak Republic 0.6 92.0 \n", + "Slovenia 0.5 85.0 \n", + "Spain 0.1 55.0 \n", + "Sweden 0.0 88.0 \n", + "Switzerland 0.0 86.0 \n", + "Turkey 12.7 34.0 \n", + "United Kingdom 0.2 78.0 \n", + "United States 0.1 89.0 \n", + "\n", + "Indicator Employees working very long hours Employment rate \\\n", + "Country \n", + "Australia 14.02 72.0 \n", + "Austria 7.61 72.0 \n", + "Belgium 4.57 62.0 \n", + "Brazil 10.41 67.0 \n", + "Canada 3.94 72.0 \n", + "Chile 15.42 62.0 \n", + "Czech Republic 6.98 68.0 \n", + "Denmark 2.03 73.0 \n", + "Estonia 3.30 68.0 \n", + "Finland 3.58 69.0 \n", + "France 8.15 64.0 \n", + "Germany 5.25 73.0 \n", + "Greece 6.16 49.0 \n", + "Hungary 3.19 58.0 \n", + "Iceland 12.25 82.0 \n", + "Ireland 4.20 60.0 \n", + "Israel 16.03 67.0 \n", + "Italy 3.66 56.0 \n", + "Japan 22.26 72.0 \n", + "Korea 18.72 64.0 \n", + "Luxembourg 3.47 66.0 \n", + "Mexico 28.83 61.0 \n", + "Netherlands 0.45 74.0 \n", + "New Zealand 13.87 73.0 \n", + "Norway 2.82 75.0 \n", + "OECD - Total 12.51 65.0 \n", + "Poland 7.41 60.0 \n", + "Portugal 9.62 61.0 \n", + "Russia 0.16 69.0 \n", + "Slovak Republic 7.02 60.0 \n", + "Slovenia 5.63 63.0 \n", + "Spain 5.89 56.0 \n", + "Sweden 1.13 74.0 \n", + "Switzerland 6.72 80.0 \n", + "Turkey 40.86 50.0 \n", + "United Kingdom 12.70 71.0 \n", + "United States 11.30 67.0 \n", + "\n", + "Indicator Homicide rate Household net adjusted disposable income \\\n", + "Country \n", + "Australia 0.8 31588.0 \n", + "Austria 0.4 31173.0 \n", + "Belgium 1.1 28307.0 \n", + "Brazil 25.5 11664.0 \n", + "Canada 1.5 29365.0 \n", + "Chile 4.4 14533.0 \n", + "Czech Republic 0.8 18404.0 \n", + "Denmark 0.3 26491.0 \n", + "Estonia 4.8 15167.0 \n", + "Finland 1.4 27927.0 \n", + "France 0.6 28799.0 \n", + "Germany 0.5 31252.0 \n", + "Greece 1.6 18575.0 \n", + "Hungary 1.3 15442.0 \n", + "Iceland 0.3 23965.0 \n", + "Ireland 0.8 23917.0 \n", + "Israel 2.3 22104.0 \n", + "Italy 0.7 25166.0 \n", + "Japan 0.3 26111.0 \n", + "Korea 1.1 19510.0 \n", + "Luxembourg 0.4 38951.0 \n", + "Mexico 23.4 13085.0 \n", + "Netherlands 0.9 27888.0 \n", + "New Zealand 1.2 23815.0 \n", + "Norway 0.6 33492.0 \n", + "OECD - Total 4.0 25908.0 \n", + "Poland 0.9 17852.0 \n", + "Portugal 1.1 20086.0 \n", + "Russia 12.8 19292.0 \n", + "Slovak Republic 1.2 17503.0 \n", + "Slovenia 0.4 19326.0 \n", + "Spain 0.6 22477.0 \n", + "Sweden 0.7 29185.0 \n", + "Switzerland 0.5 33491.0 \n", + "Turkey 1.2 14095.0 \n", + "United Kingdom 0.3 27029.0 \n", + "United States 5.2 41355.0 \n", + "\n", + "Indicator Household net financial wealth ... \\\n", + "Country ... \n", + "Australia 47657.0 ... \n", + "Austria 49887.0 ... \n", + "Belgium 83876.0 ... \n", + "Brazil 6844.0 ... \n", + "Canada 67913.0 ... \n", + "Chile 17733.0 ... \n", + "Czech Republic 17299.0 ... \n", + "Denmark 44488.0 ... \n", + "Estonia 7680.0 ... \n", + "Finland 18761.0 ... \n", + "France 48741.0 ... \n", + "Germany 50394.0 ... \n", + "Greece 14579.0 ... \n", + "Hungary 13277.0 ... \n", + "Iceland 43045.0 ... \n", + "Ireland 31580.0 ... \n", + "Israel 52933.0 ... \n", + "Italy 54987.0 ... \n", + "Japan 86764.0 ... \n", + "Korea 29091.0 ... \n", + "Luxembourg 61765.0 ... \n", + "Mexico 9056.0 ... \n", + "Netherlands 77961.0 ... \n", + "New Zealand 28290.0 ... \n", + "Norway 8797.0 ... \n", + "OECD - Total 67139.0 ... \n", + "Poland 10919.0 ... \n", + "Portugal 31245.0 ... \n", + "Russia 3412.0 ... \n", + "Slovak Republic 8663.0 ... \n", + "Slovenia 18465.0 ... \n", + "Spain 24774.0 ... \n", + "Sweden 60328.0 ... \n", + "Switzerland 108823.0 ... \n", + "Turkey 3251.0 ... \n", + "United Kingdom 60778.0 ... \n", + "United States 145769.0 ... \n", + "\n", + "Indicator Long-term unemployment rate Personal earnings \\\n", + "Country \n", + "Australia 1.08 50449.0 \n", + "Austria 1.19 45199.0 \n", + "Belgium 3.88 48082.0 \n", + "Brazil 1.97 17177.0 \n", + "Canada 0.90 46911.0 \n", + "Chile 1.59 22101.0 \n", + "Czech Republic 3.12 20338.0 \n", + "Denmark 1.78 48347.0 \n", + "Estonia 3.82 18944.0 \n", + "Finland 1.73 40060.0 \n", + "France 3.99 40242.0 \n", + "Germany 2.37 43682.0 \n", + "Greece 18.39 25503.0 \n", + "Hungary 5.10 20948.0 \n", + "Iceland 1.18 55716.0 \n", + "Ireland 8.39 49506.0 \n", + "Israel 0.79 28817.0 \n", + "Italy 6.94 34561.0 \n", + "Japan 1.67 35405.0 \n", + "Korea 0.01 36354.0 \n", + "Luxembourg 1.78 56021.0 \n", + "Mexico 0.08 16193.0 \n", + "Netherlands 2.40 47590.0 \n", + "New Zealand 0.75 35609.0 \n", + "Norway 0.32 50282.0 \n", + "OECD - Total 2.79 36118.0 \n", + "Poland 3.77 22655.0 \n", + "Portugal 9.11 23688.0 \n", + "Russia 1.70 20885.0 \n", + "Slovak Republic 9.46 20307.0 \n", + "Slovenia 5.15 32037.0 \n", + "Spain 12.96 34824.0 \n", + "Sweden 1.37 40818.0 \n", + "Switzerland 1.46 54236.0 \n", + "Turkey 2.37 16919.0 \n", + "United Kingdom 2.77 41192.0 \n", + "United States 1.91 56340.0 \n", + "\n", + "Indicator Quality of support network Rooms per person \\\n", + "Country \n", + "Australia 92.0 2.3 \n", + "Austria 89.0 1.6 \n", + "Belgium 94.0 2.2 \n", + "Brazil 90.0 1.6 \n", + "Canada 92.0 2.5 \n", + "Chile 86.0 1.2 \n", + "Czech Republic 85.0 1.4 \n", + "Denmark 95.0 1.9 \n", + "Estonia 89.0 1.5 \n", + "Finland 95.0 1.9 \n", + "France 87.0 1.8 \n", + "Germany 94.0 1.8 \n", + "Greece 83.0 1.2 \n", + "Hungary 87.0 1.1 \n", + "Iceland 96.0 1.5 \n", + "Ireland 96.0 2.1 \n", + "Israel 87.0 1.2 \n", + "Italy 90.0 1.4 \n", + "Japan 89.0 1.8 \n", + "Korea 72.0 1.4 \n", + "Luxembourg 87.0 2.0 \n", + "Mexico 77.0 1.0 \n", + "Netherlands 90.0 2.0 \n", + "New Zealand 94.0 2.4 \n", + "Norway 94.0 2.0 \n", + "OECD - Total 88.0 1.8 \n", + "Poland 91.0 1.1 \n", + "Portugal 86.0 1.6 \n", + "Russia 90.0 0.9 \n", + "Slovak Republic 90.0 1.1 \n", + "Slovenia 90.0 1.5 \n", + "Spain 95.0 1.9 \n", + "Sweden 92.0 1.7 \n", + "Switzerland 96.0 1.8 \n", + "Turkey 86.0 1.1 \n", + "United Kingdom 91.0 1.9 \n", + "United States 90.0 2.4 \n", + "\n", + "Indicator Self-reported health Student skills \\\n", + "Country \n", + "Australia 85.0 512.0 \n", + "Austria 69.0 500.0 \n", + "Belgium 74.0 509.0 \n", + "Brazil 69.0 402.0 \n", + "Canada 89.0 522.0 \n", + "Chile 59.0 436.0 \n", + "Czech Republic 60.0 500.0 \n", + "Denmark 72.0 498.0 \n", + "Estonia 54.0 526.0 \n", + "Finland 65.0 529.0 \n", + "France 67.0 500.0 \n", + "Germany 65.0 515.0 \n", + "Greece 74.0 466.0 \n", + "Hungary 57.0 487.0 \n", + "Iceland 77.0 484.0 \n", + "Ireland 82.0 516.0 \n", + "Israel 80.0 474.0 \n", + "Italy 66.0 490.0 \n", + "Japan 30.0 540.0 \n", + "Korea 35.0 542.0 \n", + "Luxembourg 72.0 490.0 \n", + "Mexico 66.0 417.0 \n", + "Netherlands 76.0 519.0 \n", + "New Zealand 90.0 509.0 \n", + "Norway 76.0 496.0 \n", + "OECD - Total 68.0 497.0 \n", + "Poland 58.0 521.0 \n", + "Portugal 46.0 488.0 \n", + "Russia 37.0 481.0 \n", + "Slovak Republic 66.0 472.0 \n", + "Slovenia 65.0 499.0 \n", + "Spain 72.0 490.0 \n", + "Sweden 81.0 482.0 \n", + "Switzerland 81.0 518.0 \n", + "Turkey 68.0 462.0 \n", + "United Kingdom 74.0 502.0 \n", + "United States 88.0 492.0 \n", + "\n", + "Indicator Time devoted to leisure and personal care Voter turnout \\\n", + "Country \n", + "Australia 14.41 93.0 \n", + "Austria 14.46 75.0 \n", + "Belgium 15.71 89.0 \n", + "Brazil 14.97 79.0 \n", + "Canada 14.25 61.0 \n", + "Chile 14.41 49.0 \n", + "Czech Republic 14.98 59.0 \n", + "Denmark 16.06 88.0 \n", + "Estonia 14.90 64.0 \n", + "Finland 14.89 69.0 \n", + "France 15.33 80.0 \n", + "Germany 15.31 72.0 \n", + "Greece 14.91 64.0 \n", + "Hungary 15.04 62.0 \n", + "Iceland 14.61 81.0 \n", + "Ireland 15.19 70.0 \n", + "Israel 14.48 68.0 \n", + "Italy 14.98 75.0 \n", + "Japan 14.93 53.0 \n", + "Korea 14.63 76.0 \n", + "Luxembourg 15.12 91.0 \n", + "Mexico 13.89 63.0 \n", + "Netherlands 15.44 75.0 \n", + "New Zealand 14.87 77.0 \n", + "Norway 15.56 78.0 \n", + "OECD - Total 14.97 68.0 \n", + "Poland 14.20 55.0 \n", + "Portugal 14.95 58.0 \n", + "Russia 14.97 65.0 \n", + "Slovak Republic 14.99 59.0 \n", + "Slovenia 14.62 52.0 \n", + "Spain 16.06 69.0 \n", + "Sweden 15.11 86.0 \n", + "Switzerland 14.98 49.0 \n", + "Turkey 13.42 88.0 \n", + "United Kingdom 14.83 66.0 \n", + "United States 14.27 68.0 \n", + "\n", + "Indicator Water quality Years in education \n", + "Country \n", + "Australia 91.0 19.4 \n", + "Austria 94.0 17.0 \n", + "Belgium 87.0 18.9 \n", + "Brazil 72.0 16.3 \n", + "Canada 91.0 17.2 \n", + "Chile 73.0 16.5 \n", + "Czech Republic 85.0 18.1 \n", + "Denmark 94.0 19.4 \n", + "Estonia 79.0 17.5 \n", + "Finland 94.0 19.7 \n", + "France 82.0 16.4 \n", + "Germany 95.0 18.2 \n", + "Greece 69.0 18.6 \n", + "Hungary 77.0 17.6 \n", + "Iceland 97.0 19.8 \n", + "Ireland 80.0 17.6 \n", + "Israel 68.0 15.8 \n", + "Italy 71.0 16.8 \n", + "Japan 85.0 16.3 \n", + "Korea 78.0 17.5 \n", + "Luxembourg 86.0 15.1 \n", + "Mexico 67.0 14.4 \n", + "Netherlands 92.0 18.7 \n", + "New Zealand 89.0 18.1 \n", + "Norway 94.0 17.9 \n", + "OECD - Total 81.0 17.7 \n", + "Poland 79.0 18.4 \n", + "Portugal 86.0 17.6 \n", + "Russia 56.0 16.0 \n", + "Slovak Republic 81.0 16.3 \n", + "Slovenia 88.0 18.4 \n", + "Spain 71.0 17.6 \n", + "Sweden 95.0 19.3 \n", + "Switzerland 96.0 17.3 \n", + "Turkey 62.0 16.4 \n", + "United Kingdom 88.0 16.4 \n", + "United States 85.0 17.2 \n", + "\n", + "[37 rows x 24 columns]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "life_sat_pivoted = life_sat_total.pivot(index=\"Country\", columns=\"Indicator\", values=\"Value\")\n", + "life_sat_pivoted" + ] + }, + { + "cell_type": "markdown", + "id": "6bb04a1c", + "metadata": {}, + "source": [ + "## GDP per capita\n", + "The Dataset obtained from the IMF's website at: http://goo.gl/j1MSKe\n", + "\n", + "### Data description\n", + "```\n", + "Int64Index: 190 entries, 0 to 189\n", + "Data columns (total 7 columns):\n", + "Country 190 non-null object\n", + "Subject Descriptor 189 non-null object\n", + "Units 189 non-null object\n", + "Scale 189 non-null object\n", + "Country/Series-specific Notes 188 non-null object\n", + "2015 187 non-null float64\n", + "Estimates Start After 188 non-null float64\n", + "dtypes: float64(2), object(5)\n", + "memory usage: 11.9+ KB\n", + "```\n", + "\n", + "### Example using Python Pandas\n", + "\n", + "```\n", + ">>> gdp_per_capita = pd.read_csv(\n", + "... datapath+\"gdp_per_capita.csv\", thousands=',', delimiter='\\t',\n", + "... encoding='latin1', na_values=\"n/a\", index_col=\"Country\")\n", + "...\n", + ">>> gdp_per_capita.rename(columns={\"2015\": \"GDP per capita\"}, inplace=True)\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "fc31575a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountrySubject DescriptorUnitsScaleCountry/Series-specific Notes2015Estimates Start After
0AfghanistanGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...599.9942013.0
1AlbaniaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...3995.3832010.0
2AlgeriaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...4318.1352014.0
3AngolaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...4100.3152014.0
4Antigua and BarbudaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...14414.3022011.0
........................
185VietnamGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...2088.3442012.0
186YemenGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...1302.9402008.0
187ZambiaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...1350.1512010.0
188ZimbabweGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...1064.3502012.0
189International Monetary Fund, World Economic Ou...NaNNaNNaNNaNNaNNaN
\n", + "

190 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " Country \\\n", + "0 Afghanistan \n", + "1 Albania \n", + "2 Algeria \n", + "3 Angola \n", + "4 Antigua and Barbuda \n", + ".. ... \n", + "185 Vietnam \n", + "186 Yemen \n", + "187 Zambia \n", + "188 Zimbabwe \n", + "189 International Monetary Fund, World Economic Ou... \n", + "\n", + " Subject Descriptor Units Scale \\\n", + "0 Gross domestic product per capita, current prices U.S. dollars Units \n", + "1 Gross domestic product per capita, current prices U.S. dollars Units \n", + "2 Gross domestic product per capita, current prices U.S. dollars Units \n", + "3 Gross domestic product per capita, current prices U.S. dollars Units \n", + "4 Gross domestic product per capita, current prices U.S. dollars Units \n", + ".. ... ... ... \n", + "185 Gross domestic product per capita, current prices U.S. dollars Units \n", + "186 Gross domestic product per capita, current prices U.S. dollars Units \n", + "187 Gross domestic product per capita, current prices U.S. dollars Units \n", + "188 Gross domestic product per capita, current prices U.S. dollars Units \n", + "189 NaN NaN NaN \n", + "\n", + " Country/Series-specific Notes 2015 \\\n", + "0 See notes for: Gross domestic product, curren... 599.994 \n", + "1 See notes for: Gross domestic product, curren... 3995.383 \n", + "2 See notes for: Gross domestic product, curren... 4318.135 \n", + "3 See notes for: Gross domestic product, curren... 4100.315 \n", + "4 See notes for: Gross domestic product, curren... 14414.302 \n", + ".. ... ... \n", + "185 See notes for: Gross domestic product, curren... 2088.344 \n", + "186 See notes for: Gross domestic product, curren... 1302.940 \n", + "187 See notes for: Gross domestic product, curren... 1350.151 \n", + "188 See notes for: Gross domestic product, curren... 1064.350 \n", + "189 NaN NaN \n", + "\n", + " Estimates Start After \n", + "0 2013.0 \n", + "1 2010.0 \n", + "2 2014.0 \n", + "3 2014.0 \n", + "4 2011.0 \n", + ".. ... \n", + "185 2012.0 \n", + "186 2008.0 \n", + "187 2010.0 \n", + "188 2012.0 \n", + "189 NaN \n", + "\n", + "[190 rows x 7 columns]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "url2 = \"https://raw.githubusercontent.com/machine-learning-course-uac/1-ml-landscape/main/gdp_per_capita.csv\"\n", + "gdp_per_capita = pd.read_csv(url2,thousands=',',delimiter='\\t', encoding='latin1', na_values=\"n/a\")\n", + "gdp_per_capita" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "b355820d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CountrySubject DescriptorUnitsScaleCountry/Series-specific NotesGDPEstimates Start After
0AfghanistanGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...599.9942013.0
1AlbaniaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...3995.3832010.0
2AlgeriaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...4318.1352014.0
3AngolaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...4100.3152014.0
4Antigua and BarbudaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...14414.3022011.0
........................
185VietnamGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...2088.3442012.0
186YemenGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...1302.9402008.0
187ZambiaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...1350.1512010.0
188ZimbabweGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...1064.3502012.0
189International Monetary Fund, World Economic Ou...NaNNaNNaNNaNNaNNaN
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190 rows × 7 columns

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" + ], + "text/plain": [ + " Country \\\n", + "0 Afghanistan \n", + "1 Albania \n", + "2 Algeria \n", + "3 Angola \n", + "4 Antigua and Barbuda \n", + ".. ... \n", + "185 Vietnam \n", + "186 Yemen \n", + "187 Zambia \n", + "188 Zimbabwe \n", + "189 International Monetary Fund, World Economic Ou... \n", + "\n", + " Subject Descriptor Units Scale \\\n", + "0 Gross domestic product per capita, current prices U.S. dollars Units \n", + "1 Gross domestic product per capita, current prices U.S. dollars Units \n", + "2 Gross domestic product per capita, current prices U.S. dollars Units \n", + "3 Gross domestic product per capita, current prices U.S. dollars Units \n", + "4 Gross domestic product per capita, current prices U.S. dollars Units \n", + ".. ... ... ... \n", + "185 Gross domestic product per capita, current prices U.S. dollars Units \n", + "186 Gross domestic product per capita, current prices U.S. dollars Units \n", + "187 Gross domestic product per capita, current prices U.S. dollars Units \n", + "188 Gross domestic product per capita, current prices U.S. dollars Units \n", + "189 NaN NaN NaN \n", + "\n", + " Country/Series-specific Notes GDP \\\n", + "0 See notes for: Gross domestic product, curren... 599.994 \n", + "1 See notes for: Gross domestic product, curren... 3995.383 \n", + "2 See notes for: Gross domestic product, curren... 4318.135 \n", + "3 See notes for: Gross domestic product, curren... 4100.315 \n", + "4 See notes for: Gross domestic product, curren... 14414.302 \n", + ".. ... ... \n", + "185 See notes for: Gross domestic product, curren... 2088.344 \n", + "186 See notes for: Gross domestic product, curren... 1302.940 \n", + "187 See notes for: Gross domestic product, curren... 1350.151 \n", + "188 See notes for: Gross domestic product, curren... 1064.350 \n", + "189 NaN NaN \n", + "\n", + " Estimates Start After \n", + "0 2013.0 \n", + "1 2010.0 \n", + "2 2014.0 \n", + "3 2014.0 \n", + "4 2011.0 \n", + ".. ... \n", + "185 2012.0 \n", + "186 2008.0 \n", + "187 2010.0 \n", + "188 2012.0 \n", + "189 NaN \n", + "\n", + "[190 rows x 7 columns]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gdp_per_capita.rename(columns={\"2015\": \"GDP\"}, inplace=True)\n", + "gdp_per_capita" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "44bce56b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Subject DescriptorUnitsScaleCountry/Series-specific NotesGDPEstimates Start After
Country
AfghanistanGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...599.9942013.0
AlbaniaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...3995.3832010.0
AlgeriaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...4318.1352014.0
AngolaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...4100.3152014.0
Antigua and BarbudaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...14414.3022011.0
.....................
VietnamGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...2088.3442012.0
YemenGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...1302.9402008.0
ZambiaGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...1350.1512010.0
ZimbabweGross domestic product per capita, current pricesU.S. dollarsUnitsSee notes for: Gross domestic product, curren...1064.3502012.0
International Monetary Fund, World Economic Outlook Database, April 2016NaNNaNNaNNaNNaNNaN
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190 rows × 6 columns

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" + ], + "text/plain": [ + " Subject Descriptor \\\n", + "Country \n", + "Afghanistan Gross domestic product per capita, current prices \n", + "Albania Gross domestic product per capita, current prices \n", + "Algeria Gross domestic product per capita, current prices \n", + "Angola Gross domestic product per capita, current prices \n", + "Antigua and Barbuda Gross domestic product per capita, current prices \n", + "... ... \n", + "Vietnam Gross domestic product per capita, current prices \n", + "Yemen Gross domestic product per capita, current prices \n", + "Zambia Gross domestic product per capita, current prices \n", + "Zimbabwe Gross domestic product per capita, current prices \n", + "International Monetary Fund, World Economic Out... NaN \n", + "\n", + " Units Scale \\\n", + "Country \n", + "Afghanistan U.S. dollars Units \n", + "Albania U.S. dollars Units \n", + "Algeria U.S. dollars Units \n", + "Angola U.S. dollars Units \n", + "Antigua and Barbuda U.S. dollars Units \n", + "... ... ... \n", + "Vietnam U.S. dollars Units \n", + "Yemen U.S. dollars Units \n", + "Zambia U.S. dollars Units \n", + "Zimbabwe U.S. dollars Units \n", + "International Monetary Fund, World Economic Out... NaN NaN \n", + "\n", + " Country/Series-specific Notes \\\n", + "Country \n", + "Afghanistan See notes for: Gross domestic product, curren... \n", + "Albania See notes for: Gross domestic product, curren... \n", + "Algeria See notes for: Gross domestic product, curren... \n", + "Angola See notes for: Gross domestic product, curren... \n", + "Antigua and Barbuda See notes for: Gross domestic product, curren... \n", + "... ... \n", + "Vietnam See notes for: Gross domestic product, curren... \n", + "Yemen See notes for: Gross domestic product, curren... \n", + "Zambia See notes for: Gross domestic product, curren... \n", + "Zimbabwe See notes for: Gross domestic product, curren... \n", + "International Monetary Fund, World Economic Out... NaN \n", + "\n", + " GDP \\\n", + "Country \n", + "Afghanistan 599.994 \n", + "Albania 3995.383 \n", + "Algeria 4318.135 \n", + "Angola 4100.315 \n", + "Antigua and Barbuda 14414.302 \n", + "... ... \n", + "Vietnam 2088.344 \n", + "Yemen 1302.940 \n", + "Zambia 1350.151 \n", + "Zimbabwe 1064.350 \n", + "International Monetary Fund, World Economic Out... NaN \n", + "\n", + " Estimates Start After \n", + "Country \n", + "Afghanistan 2013.0 \n", + "Albania 2010.0 \n", + "Algeria 2014.0 \n", + "Angola 2014.0 \n", + "Antigua and Barbuda 2011.0 \n", + "... ... \n", + "Vietnam 2012.0 \n", + "Yemen 2008.0 \n", + "Zambia 2010.0 \n", + "Zimbabwe 2012.0 \n", + "International Monetary Fund, World Economic Out... NaN \n", + "\n", + "[190 rows x 6 columns]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gdp_per_capita.set_index(\"Country\", inplace=True)\n", + "gdp_per_capita" + ] + }, + { + "cell_type": "markdown", + "id": "d334c46b", + "metadata": {}, + "source": [ + "# Making all the process in a function " + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "a0cb5245", + "metadata": {}, + "outputs": [], + "source": [ + "def CountryStats(oecd, gdp):\n", + " # YOUR CODE HERE\n", + " return country_stats[[\"GDP\", 'Life satisfaction']].iloc[keep_indices]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "37cd9901", + "metadata": {}, + "outputs": [], + "source": [ + "import mluac as ml\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "df9ca7f1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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GDP per capitaLife satisfaction
Country
Russia9054.9146.0
Turkey9437.3725.6
Hungary12239.8944.9
Poland12495.3345.8
Slovak Republic15991.7366.1
Estonia17288.0835.6
Greece18064.2884.8
Portugal19121.5925.1
Slovenia20732.4825.7
Spain25864.7216.5
Korea27195.1975.8
Italy29866.5816.0
Japan32485.5455.9
Israel35343.3367.4
New Zealand37044.8917.3
France37675.0066.5
Belgium40106.6326.9
Germany40996.5117.0
Finland41973.9887.4
Canada43331.9617.3
Netherlands43603.1157.3
Austria43724.0316.9
United Kingdom43770.6886.8
Sweden49866.2667.2
Iceland50854.5837.5
Australia50961.8657.3
Ireland51350.7447.0
Denmark52114.1657.5
United States55805.2047.2
\n", + "
" + ], + "text/plain": [ + " GDP per capita Life satisfaction\n", + "Country \n", + "Russia 9054.914 6.0\n", + "Turkey 9437.372 5.6\n", + "Hungary 12239.894 4.9\n", + "Poland 12495.334 5.8\n", + "Slovak Republic 15991.736 6.1\n", + "Estonia 17288.083 5.6\n", + "Greece 18064.288 4.8\n", + "Portugal 19121.592 5.1\n", + "Slovenia 20732.482 5.7\n", + "Spain 25864.721 6.5\n", + "Korea 27195.197 5.8\n", + "Italy 29866.581 6.0\n", + "Japan 32485.545 5.9\n", + "Israel 35343.336 7.4\n", + "New Zealand 37044.891 7.3\n", + "France 37675.006 6.5\n", + "Belgium 40106.632 6.9\n", + "Germany 40996.511 7.0\n", + "Finland 41973.988 7.4\n", + "Canada 43331.961 7.3\n", + "Netherlands 43603.115 7.3\n", + "Austria 43724.031 6.9\n", + "United Kingdom 43770.688 6.8\n", + "Sweden 49866.266 7.2\n", + "Iceland 50854.583 7.5\n", + "Australia 50961.865 7.3\n", + "Ireland 51350.744 7.0\n", + "Denmark 52114.165 7.5\n", + "United States 55805.204 7.2" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "url2 = \"https://raw.githubusercontent.com/machine-learning-course-uac/1-ml-landscape/main/gdp_per_capita.csv\"\n", + "gdp_per_capita = pd.read_csv(url2,thousands=',',delimiter='\\t', encoding='latin1', na_values=\"n/a\")\n", + "url = \"https://raw.githubusercontent.com/machine-learning-course-uac/1-ml-landscape/main/oecd_bli_2015.csv\"\n", + "oecd_bli = pd.read_csv(url, thousands=',')\n", + "cs = ml.prepare_country_stats(oecd_bli, gdp_per_capita)\n", + "cs" + ] + }, + { + "cell_type": "markdown", + "id": "3466ca29", + "metadata": {}, + "source": [ + "## Exploring the data" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "5bfd30f2", + "metadata": {}, + "outputs": [], + "source": [ + "X = np.c_[cs[\"GDP per capita\"]]\n", + "y = np.c_[cs[\"Life satisfaction\"]]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "51ac6ffc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[ 9054.914],\n", + " [ 9437.372],\n", + " [12239.894],\n", + " [12495.334],\n", + " [15991.736],\n", + " [17288.083],\n", + " [18064.288],\n", + " [19121.592],\n", + " [20732.482],\n", + " [25864.721],\n", + " [27195.197],\n", + " [29866.581],\n", + " [32485.545],\n", + " [35343.336],\n", + " [37044.891],\n", + " [37675.006],\n", + " [40106.632],\n", + " [40996.511],\n", + " [41973.988],\n", + " [43331.961],\n", + " [43603.115],\n", + " [43724.031],\n", + " [43770.688],\n", + " [49866.266],\n", + " [50854.583],\n", + " [50961.865],\n", + " [51350.744],\n", + " [52114.165],\n", + " [55805.204]])" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "75460ea4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(X,y, 'ok', markersize=12, label=\"Data\")\n", + "plt.xlabel(\"GDP per capita\", fontsize=20)\n", + "plt.ylabel(\"Life satisfaction\", fontsize=20)\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "d4cdb351", + "metadata": {}, + "source": [ + "# Model of GDP and Life Satisfaction\n", + "## Fitting and predictions" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "86ee41bd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
LinearRegression()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "LinearRegression()" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + ">>> from sklearn.linear_model import LinearRegression\n", + "# Select a linear model\n", + "model = LinearRegression()\n", + "\n", + "# Train the model\n", + "model.fit(X, y)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "25b99bc8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[5.96242338]]\n" + ] + } + ], + "source": [ + "# Make a prediction for Cyprus\n", + "X_new = [[22587]] # Cyprus' GDP per capita\n", + "print(model.predict(X_new)) # outputs [[ 5.96242338]]" + ] + }, + { + "cell_type": "markdown", + "id": "fe2c6057", + "metadata": {}, + "source": [ + "## Extracting data from model\n", + "\n", + "The Linear regression model\n", + "\n", + "$$f(\\theta)=x_0 +x_1 \\theta_1 +x_2 \\theta_2 + \\cdots$$" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "5278c68f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4.853052800266435" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#theta_0\n", + "t0 = model.intercept_[0]\n", + "t0" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "7964db8c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[4.91154459e-05]])" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#theta_1\n", + "t1 =model.coef_\n", + "t1" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "2c494d36", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "Xest=np.linspace(0, 60000, 1000)\n", + "plt.plot(X, t0 + t1*X, \"r\", linewidth=3,label=\"Model\")\n", + "plt.plot(X,y, 'ok', markersize=12, label=\"Data\")\n", + "plt.xlabel(\"GDP per capita\", fontsize=20)\n", + "plt.ylabel(\"Life satisfaction\", fontsize=20)\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "714824a0", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/1-ml-landscape/mluac.py b/1-ml-landscape/mluac.py new file mode 100644 index 0000000..855aed4 --- /dev/null +++ b/1-ml-landscape/mluac.py @@ -0,0 +1,12 @@ +import pandas as pd + +def prepare_country_stats(oecd_bli, gdp_per_capita): + oecd_bli = oecd_bli[oecd_bli["INEQUALITY"]=="TOT"] + oecd_bli = oecd_bli.pivot(index="Country", columns="Indicator", values="Value") + gdp_per_capita.rename(columns={"2015": "GDP per capita"}, inplace=True) + gdp_per_capita.set_index("Country", inplace=True) + full_country_stats = pd.merge(left=oecd_bli, right=gdp_per_capita,left_index=True, right_index=True) + full_country_stats.sort_values(by="GDP per capita", inplace=True) + remove_indices = [0, 1, 6, 8, 33, 34, 35] + keep_indices = list(set(range(36)) - set(remove_indices)) + return full_country_stats[["GDP per capita", 'Life satisfaction']].iloc[keep_indices] diff --git a/1-ml-landscape/oecd_bli_2015.csv b/1-ml-landscape/oecd_bli_2015.csv new file mode 100644 index 0000000..4c35a3a --- /dev/null +++ b/1-ml-landscape/oecd_bli_2015.csv @@ -0,0 +1,3293 @@ +"LOCATION","Country","INDICATOR","Indicator","MEASURE","Measure","INEQUALITY","Inequality","Unit Code","Unit","PowerCode Code","PowerCode","Reference Period Code","Reference Period","Value","Flag Codes","Flags" +"AUS","Australia","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,1.1,"E","Estimated value" +"AUT","Austria","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,1,, +"BEL","Belgium","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,2,, +"CAN","Canada","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.2,, +"CZE","Czech Republic","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.9,, +"DNK","Denmark","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.9,, +"FIN","Finland","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.6,, +"FRA","France","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.5,, +"DEU","Germany","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.1,, +"GRC","Greece","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.7,, +"HUN","Hungary","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,4.8,, +"ISL","Iceland","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.4,, +"IRL","Ireland","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.2,, +"ITA","Italy","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,1.1,, +"JPN","Japan","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,6.4,, +"KOR","Korea","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,4.2,, +"LUX","Luxembourg","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.1,, +"MEX","Mexico","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,4.2,, +"NLD","Netherlands","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0,, +"NZL","New Zealand","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.2,"E","Estimated value" +"NOR","Norway","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.3,, +"POL","Poland","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,3.2,, +"PRT","Portugal","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.9,, +"SVK","Slovak Republic","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.6,, +"ESP","Spain","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.1,, +"SWE","Sweden","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0,, +"CHE","Switzerland","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0,, +"TUR","Turkey","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,12.7,, +"GBR","United Kingdom","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.2,, +"USA","United States","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.1,, +"BRA","Brazil","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,6.7,, +"CHL","Chile","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,9.4,, +"EST","Estonia","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,8.1,, +"ISR","Israel","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,3.7,"E","Estimated value" +"RUS","Russia","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,15.1,, +"SVN","Slovenia","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,0.5,, +"OECD","OECD - Total","HO_BASE","Dwellings without basic facilities","L","Value","TOT","Total","PC","Percentage","0","units",,,2.4,, +"AUS","Australia","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,1.1,"E","Estimated value" +"AUT","Austria","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,1,"E","Estimated value" +"BEL","Belgium","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,2,"E","Estimated value" +"CAN","Canada","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.2,"E","Estimated value" +"CZE","Czech Republic","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.9,"E","Estimated value" +"DNK","Denmark","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.9,"E","Estimated value" +"FIN","Finland","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.6,"E","Estimated value" +"FRA","France","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.5,"E","Estimated value" +"DEU","Germany","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.1,"E","Estimated value" +"GRC","Greece","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.7,"E","Estimated value" +"HUN","Hungary","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,4.8,"E","Estimated value" +"ISL","Iceland","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.4,"E","Estimated value" +"IRL","Ireland","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.2,"E","Estimated value" +"ITA","Italy","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,1.1,"E","Estimated value" +"JPN","Japan","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,6.4,"E","Estimated value" +"KOR","Korea","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,4.2,"E","Estimated value" +"LUX","Luxembourg","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.1,"E","Estimated value" +"MEX","Mexico","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,4.2,"E","Estimated value" +"NLD","Netherlands","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0,"E","Estimated value" +"NZL","New Zealand","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.2,"E","Estimated value" +"NOR","Norway","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.3,"E","Estimated value" +"POL","Poland","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,3.2,"E","Estimated value" +"PRT","Portugal","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.9,"E","Estimated value" +"SVK","Slovak Republic","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.6,"E","Estimated value" +"ESP","Spain","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.1,"E","Estimated value" +"SWE","Sweden","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0,"E","Estimated value" +"CHE","Switzerland","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0,"E","Estimated value" +"TUR","Turkey","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,12.7,"E","Estimated value" +"GBR","United Kingdom","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.2,"E","Estimated value" +"USA","United States","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.1,"E","Estimated value" +"BRA","Brazil","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,6.7,"E","Estimated value" +"CHL","Chile","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,9.4,"E","Estimated value" +"EST","Estonia","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,8.1,"E","Estimated value" +"ISR","Israel","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,3.7,"E","Estimated value" +"RUS","Russia","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,15.1,"E","Estimated value" +"SVN","Slovenia","HO_BASE","Dwellings without basic facilities","L","Value","MN","Men","PC","Percentage","0","units",,,0.5,"E","Estimated value" +"AUS","Australia","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,1.1,"E","Estimated value" +"AUT","Austria","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,1,"E","Estimated value" +"BEL","Belgium","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,2,"E","Estimated value" +"CAN","Canada","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.2,"E","Estimated value" +"CZE","Czech Republic","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.9,"E","Estimated value" +"DNK","Denmark","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.9,"E","Estimated value" +"FIN","Finland","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.6,"E","Estimated value" +"FRA","France","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.5,"E","Estimated value" +"DEU","Germany","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.1,"E","Estimated value" +"GRC","Greece","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.7,"E","Estimated value" +"HUN","Hungary","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,4.8,"E","Estimated value" +"ISL","Iceland","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.4,"E","Estimated value" +"IRL","Ireland","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.2,"E","Estimated value" +"ITA","Italy","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,1.1,"E","Estimated value" +"JPN","Japan","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,6.4,"E","Estimated value" +"KOR","Korea","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,4.2,"E","Estimated value" +"LUX","Luxembourg","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.1,"E","Estimated value" +"MEX","Mexico","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,4.2,"E","Estimated value" +"NLD","Netherlands","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0,"E","Estimated value" +"NZL","New Zealand","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.2,"E","Estimated value" +"NOR","Norway","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.3,"E","Estimated value" +"POL","Poland","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,3.2,"E","Estimated value" +"PRT","Portugal","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.9,"E","Estimated value" +"SVK","Slovak Republic","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.6,"E","Estimated value" +"ESP","Spain","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.1,"E","Estimated value" +"SWE","Sweden","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0,"E","Estimated value" +"CHE","Switzerland","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0,"E","Estimated value" +"TUR","Turkey","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,12.7,"E","Estimated value" +"GBR","United Kingdom","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.2,"E","Estimated value" +"USA","United States","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.1,"E","Estimated value" +"BRA","Brazil","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,6.7,"E","Estimated value" +"CHL","Chile","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,9.4,"E","Estimated value" +"EST","Estonia","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,8.1,"E","Estimated value" +"ISR","Israel","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,3.7,"E","Estimated value" +"RUS","Russia","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,15.1,"E","Estimated value" +"SVN","Slovenia","HO_BASE","Dwellings without basic facilities","L","Value","WMN","Women","PC","Percentage","0","units",,,0.5,"E","Estimated value" +"AUS","Australia","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,20,, +"AUT","Austria","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,21,, +"BEL","Belgium","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,21,, +"CAN","Canada","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,21,, +"CZE","Czech Republic","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,26,, +"DNK","Denmark","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,24,, +"FIN","Finland","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,22,, +"FRA","France","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,21,, +"DEU","Germany","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,21,, +"GRC","Greece","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,25,, +"HUN","Hungary","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,20,, +"ISL","Iceland","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,24,"E","Estimated value" +"IRL","Ireland","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,19,, +"ITA","Italy","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,24,, +"JPN","Japan","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,22,, +"KOR","Korea","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,16,, +"LUX","Luxembourg","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,21,"E","Estimated value" +"MEX","Mexico","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,21,, +"NLD","Netherlands","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,19,, +"NZL","New Zealand","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,23,"E","Estimated value" +"NOR","Norway","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,17,, +"POL","Poland","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,21,"E","Estimated value" +"PRT","Portugal","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,19,, +"SVK","Slovak Republic","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,26,, +"ESP","Spain","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,22,, +"SWE","Sweden","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,20,, +"CHE","Switzerland","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,22,, +"TUR","Turkey","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,21,"E","Estimated value" +"GBR","United Kingdom","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,23,, +"USA","United States","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,18,, +"BRA","Brazil","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,21,"E","Estimated value" +"CHL","Chile","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,18,, +"EST","Estonia","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,19,, +"ISR","Israel","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,21,"E","Estimated value" +"RUS","Russia","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,11,, +"SVN","Slovenia","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,20,, +"OECD","OECD - Total","HO_HISH","Housing expenditure","L","Value","TOT","Total","PC","Percentage","0","units",,,18,, +"AUS","Australia","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,20,"E","Estimated value" +"AUT","Austria","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,21,"E","Estimated value" +"BEL","Belgium","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,21,"E","Estimated value" +"CAN","Canada","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,21,"E","Estimated value" +"CZE","Czech Republic","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,26,"E","Estimated value" +"DNK","Denmark","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,24,"E","Estimated value" +"FIN","Finland","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,22,"E","Estimated value" +"FRA","France","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,21,"E","Estimated value" +"DEU","Germany","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,21,"E","Estimated value" +"GRC","Greece","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,25,"E","Estimated value" +"HUN","Hungary","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,20,"E","Estimated value" +"ISL","Iceland","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,24,"E","Estimated value" +"IRL","Ireland","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,19,"E","Estimated value" +"ITA","Italy","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,24,"E","Estimated value" +"JPN","Japan","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,22,"E","Estimated value" +"KOR","Korea","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,16,"E","Estimated value" +"LUX","Luxembourg","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,21,"E","Estimated value" +"MEX","Mexico","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,21,"E","Estimated value" +"NLD","Netherlands","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,19,"E","Estimated value" +"NZL","New Zealand","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,23,"E","Estimated value" +"NOR","Norway","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,17,"E","Estimated value" +"POL","Poland","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,21,"E","Estimated value" +"PRT","Portugal","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,19,"E","Estimated value" +"SVK","Slovak Republic","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,26,"E","Estimated value" +"ESP","Spain","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,22,"E","Estimated value" +"SWE","Sweden","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,20,"E","Estimated value" +"CHE","Switzerland","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,22,"E","Estimated value" +"TUR","Turkey","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,21,"E","Estimated value" +"GBR","United Kingdom","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,23,"E","Estimated value" +"USA","United States","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,18,"E","Estimated value" +"BRA","Brazil","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,21,"E","Estimated value" +"CHL","Chile","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,18,"E","Estimated value" +"EST","Estonia","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,19,"E","Estimated value" +"ISR","Israel","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,21,"E","Estimated value" +"RUS","Russia","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,11,"E","Estimated value" +"SVN","Slovenia","HO_HISH","Housing expenditure","L","Value","MN","Men","PC","Percentage","0","units",,,20,"E","Estimated value" +"AUS","Australia","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,20,"E","Estimated value" +"AUT","Austria","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,21,"E","Estimated value" +"BEL","Belgium","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,21,"E","Estimated value" +"CAN","Canada","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,21,"E","Estimated value" +"CZE","Czech Republic","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,26,"E","Estimated value" +"DNK","Denmark","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,24,"E","Estimated value" +"FIN","Finland","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,22,"E","Estimated value" +"FRA","France","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,21,"E","Estimated value" +"DEU","Germany","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,21,"E","Estimated value" +"GRC","Greece","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,25,"E","Estimated value" +"HUN","Hungary","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,20,"E","Estimated value" +"ISL","Iceland","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,24,"E","Estimated value" +"IRL","Ireland","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,19,"E","Estimated value" +"ITA","Italy","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,24,"E","Estimated value" +"JPN","Japan","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,22,"E","Estimated value" +"KOR","Korea","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,16,"E","Estimated value" +"LUX","Luxembourg","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,21,"E","Estimated value" +"MEX","Mexico","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,21,"E","Estimated value" +"NLD","Netherlands","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,19,"E","Estimated value" +"NZL","New Zealand","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,23,"E","Estimated value" +"NOR","Norway","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,17,"E","Estimated value" +"POL","Poland","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,21,"E","Estimated value" +"PRT","Portugal","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,19,"E","Estimated value" +"SVK","Slovak Republic","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,26,"E","Estimated value" +"ESP","Spain","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,22,"E","Estimated value" +"SWE","Sweden","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,20,"E","Estimated value" +"CHE","Switzerland","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,22,"E","Estimated value" +"TUR","Turkey","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,21,"E","Estimated value" +"GBR","United Kingdom","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,23,"E","Estimated value" +"USA","United States","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,18,"E","Estimated value" +"BRA","Brazil","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,21,"E","Estimated value" +"CHL","Chile","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,18,"E","Estimated value" +"EST","Estonia","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,19,"E","Estimated value" +"ISR","Israel","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,21,"E","Estimated value" +"RUS","Russia","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,11,"E","Estimated value" +"SVN","Slovenia","HO_HISH","Housing expenditure","L","Value","WMN","Women","PC","Percentage","0","units",,,20,"E","Estimated value" +"AUS","Australia","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,2.3,"E","Estimated value" +"AUT","Austria","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.6,, +"BEL","Belgium","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,2.2,, +"CAN","Canada","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,2.5,, +"CZE","Czech Republic","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.4,, +"DNK","Denmark","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.9,, +"FIN","Finland","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.9,, +"FRA","France","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.8,, +"DEU","Germany","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.8,, +"GRC","Greece","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.2,, +"HUN","Hungary","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.1,, +"ISL","Iceland","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.5,, +"IRL","Ireland","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,2.1,, +"ITA","Italy","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.4,, +"JPN","Japan","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.8,, +"KOR","Korea","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.4,, +"LUX","Luxembourg","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,2,, +"MEX","Mexico","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1,, +"NLD","Netherlands","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,2,, +"NZL","New Zealand","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,2.4,, +"NOR","Norway","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,2,, +"POL","Poland","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.1,, +"PRT","Portugal","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.6,, +"SVK","Slovak Republic","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.1,, +"ESP","Spain","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.9,, +"SWE","Sweden","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.7,, +"CHE","Switzerland","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.8,, +"TUR","Turkey","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.1,, +"GBR","United Kingdom","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.9,, +"USA","United States","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,2.4,"E","Estimated value" +"BRA","Brazil","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.6,"E","Estimated value" +"CHL","Chile","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.2,, +"EST","Estonia","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.5,, +"ISR","Israel","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.2,, +"RUS","Russia","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.9,, +"SVN","Slovenia","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.5,, +"OECD","OECD - Total","HO_NUMR","Rooms per person","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.8,, +"AUS","Australia","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,2.3,"E","Estimated value" +"AUT","Austria","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.6,"E","Estimated value" +"BEL","Belgium","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,2.2,"E","Estimated value" +"CAN","Canada","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,2.5,"E","Estimated value" +"CZE","Czech Republic","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.4,"E","Estimated value" +"DNK","Denmark","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.9,"E","Estimated value" +"FIN","Finland","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.9,"E","Estimated value" +"FRA","France","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.8,"E","Estimated value" +"DEU","Germany","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.8,"E","Estimated value" +"GRC","Greece","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.2,"E","Estimated value" +"HUN","Hungary","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.1,"E","Estimated value" +"ISL","Iceland","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.5,"E","Estimated value" +"IRL","Ireland","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,2.1,"E","Estimated value" +"ITA","Italy","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.4,"E","Estimated value" +"JPN","Japan","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.8,"E","Estimated value" +"KOR","Korea","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.4,"E","Estimated value" +"LUX","Luxembourg","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,2,"E","Estimated value" +"MEX","Mexico","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1,"E","Estimated value" +"NLD","Netherlands","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,2,"E","Estimated value" +"NZL","New Zealand","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,2.4,"E","Estimated value" +"NOR","Norway","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,2,"E","Estimated value" +"POL","Poland","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.1,"E","Estimated value" +"PRT","Portugal","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.6,"E","Estimated value" +"SVK","Slovak Republic","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.1,"E","Estimated value" +"ESP","Spain","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.9,"E","Estimated value" +"SWE","Sweden","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.7,"E","Estimated value" +"CHE","Switzerland","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.8,"E","Estimated value" +"TUR","Turkey","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.1,"E","Estimated value" +"GBR","United Kingdom","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.9,"E","Estimated value" +"USA","United States","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,2.4,"E","Estimated value" +"BRA","Brazil","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.6,"E","Estimated value" +"CHL","Chile","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.2,"E","Estimated value" +"EST","Estonia","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.5,"E","Estimated value" +"ISR","Israel","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.2,"E","Estimated value" +"RUS","Russia","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,0.9,"E","Estimated value" +"SVN","Slovenia","HO_NUMR","Rooms per person","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.5,"E","Estimated value" +"AUS","Australia","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,2.3,"E","Estimated value" +"AUT","Austria","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.6,"E","Estimated value" +"BEL","Belgium","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,2.2,"E","Estimated value" +"CAN","Canada","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,2.5,"E","Estimated value" +"CZE","Czech Republic","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.4,"E","Estimated value" +"DNK","Denmark","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.9,"E","Estimated value" +"FIN","Finland","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.9,"E","Estimated value" +"FRA","France","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.8,"E","Estimated value" +"DEU","Germany","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.8,"E","Estimated value" +"GRC","Greece","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.2,"E","Estimated value" +"HUN","Hungary","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.1,"E","Estimated value" +"ISL","Iceland","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.5,"E","Estimated value" +"IRL","Ireland","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,2.1,"E","Estimated value" +"ITA","Italy","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.4,"E","Estimated value" +"JPN","Japan","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.8,"E","Estimated value" +"KOR","Korea","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.4,"E","Estimated value" +"LUX","Luxembourg","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,2,"E","Estimated value" +"MEX","Mexico","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1,"E","Estimated value" +"NLD","Netherlands","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,2,"E","Estimated value" +"NZL","New Zealand","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,2.4,"E","Estimated value" +"NOR","Norway","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,2,"E","Estimated value" +"POL","Poland","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.1,"E","Estimated value" +"PRT","Portugal","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.6,"E","Estimated value" +"SVK","Slovak Republic","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.1,"E","Estimated value" +"ESP","Spain","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.9,"E","Estimated value" +"SWE","Sweden","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.7,"E","Estimated value" +"CHE","Switzerland","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.8,"E","Estimated value" +"TUR","Turkey","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.1,"E","Estimated value" +"GBR","United Kingdom","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.9,"E","Estimated value" +"USA","United States","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,2.4,"E","Estimated value" +"BRA","Brazil","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.6,"E","Estimated value" +"CHL","Chile","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.2,"E","Estimated value" +"EST","Estonia","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.5,"E","Estimated value" +"ISR","Israel","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.2,"E","Estimated value" +"RUS","Russia","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.9,"E","Estimated value" +"SVN","Slovenia","HO_NUMR","Rooms per person","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.5,"E","Estimated value" +"AUS","Australia","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,31588,, +"AUT","Austria","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,31173,, +"BEL","Belgium","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,28307,, +"CAN","Canada","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,29365,, +"CZE","Czech Republic","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,18404,, +"DNK","Denmark","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,26491,, +"FIN","Finland","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,27927,, +"FRA","France","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,28799,, +"DEU","Germany","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,31252,, +"GRC","Greece","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,18575,, +"HUN","Hungary","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,15442,, +"ISL","Iceland","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,23965,"E","Estimated value" +"IRL","Ireland","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,23917,, +"ITA","Italy","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,25166,, +"JPN","Japan","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,26111,, +"KOR","Korea","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,19510,, +"LUX","Luxembourg","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,38951,"E","Estimated value" +"MEX","Mexico","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,13085,, +"NLD","Netherlands","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,27888,, +"NZL","New Zealand","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,23815,, +"NOR","Norway","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,33492,, +"POL","Poland","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,17852,"E","Estimated value" +"PRT","Portugal","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,20086,, +"SVK","Slovak Republic","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,17503,, +"ESP","Spain","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,22477,, +"SWE","Sweden","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,29185,, +"CHE","Switzerland","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,33491,, +"TUR","Turkey","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,14095,"E","Estimated value" +"GBR","United Kingdom","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,27029,, +"USA","United States","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,41355,, +"BRA","Brazil","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,11664,"E","Estimated value" +"CHL","Chile","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,14533,"E","Estimated value" +"EST","Estonia","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,15167,, +"ISR","Israel","IW_HADI","Household net adjusted disposable income","L","Value","TOT","Total","USD","US Dollar","0","units",,,22104,"E","Estimated value" 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+"GBR","United Kingdom","JE_JT","Job security","L","Value","MN","Men","PC","Percentage","0","units",,,5.2,, +"USA","United States","JE_JT","Job security","L","Value","MN","Men","PC","Percentage","0","units",,,6.1,, +"BRA","Brazil","JE_JT","Job security","L","Value","MN","Men","PC","Percentage","0","units",,,3.9,"E","Estimated value" +"CHL","Chile","JE_JT","Job security","L","Value","MN","Men","PC","Percentage","0","units",,,4.1,"E","Estimated value" +"EST","Estonia","JE_JT","Job security","L","Value","MN","Men","PC","Percentage","0","units",,,5.3,, +"ISR","Israel","JE_JT","Job security","L","Value","MN","Men","PC","Percentage","0","units",,,4.8,, +"RUS","Russia","JE_JT","Job security","L","Value","MN","Men","PC","Percentage","0","units",,,4.3,, +"SVN","Slovenia","JE_JT","Job security","L","Value","MN","Men","PC","Percentage","0","units",,,5,, +"OECD","OECD - Total","JE_JT","Job security","L","Value","MN","Men","PC","Percentage","0","units",,,5.4,, +"AUS","Australia","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,4.9,, +"AUT","Austria","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,4,, +"BEL","Belgium","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,4.8,, +"CAN","Canada","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,5.9,, +"CZE","Czech Republic","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,4.8,, +"DNK","Denmark","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,5.7,, +"FIN","Finland","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,6.6,, +"FRA","France","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,6.5,, +"DEU","Germany","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,2.9,, +"GRC","Greece","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,14.3,, +"HUN","Hungary","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,5.8,, +"ISL","Iceland","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,3.9,, +"IRL","Ireland","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,6,, +"ITA","Italy","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,6.4,, +"JPN","Japan","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,2.6,, +"KOR","Korea","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,2.9,, +"LUX","Luxembourg","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,4.7,, +"MEX","Mexico","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,4.8,, +"NLD","Netherlands","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,4.2,, +"NZL","New Zealand","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,5.8,, +"NOR","Norway","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,2.9,, +"POL","Poland","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,7.9,, +"PRT","Portugal","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,8.9,, +"SVK","Slovak Republic","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,5.9,, +"ESP","Spain","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,18,, +"SWE","Sweden","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,6.5,, +"CHE","Switzerland","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,2.9,, +"TUR","Turkey","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,9.3,, +"GBR","United Kingdom","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,5.1,, +"USA","United States","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,5.7,, +"BRA","Brazil","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,5.7,"E","Estimated value" +"CHL","Chile","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,4.9,"E","Estimated value" +"EST","Estonia","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,5.1,, +"ISR","Israel","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,5.2,, +"RUS","Russia","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,3.7,, +"SVN","Slovenia","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,6.1,, +"OECD","OECD - Total","JE_JT","Job security","L","Value","WMN","Women","PC","Percentage","0","units",,,5.4,, +"AUS","Australia","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,1.08,, +"AUT","Austria","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,1.19,, +"BEL","Belgium","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,3.88,, +"CAN","Canada","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,0.9,, +"CZE","Czech Republic","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,3.12,, +"DNK","Denmark","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,1.78,, +"FIN","Finland","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,1.73,, +"FRA","France","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,3.99,, +"DEU","Germany","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,2.37,, +"GRC","Greece","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,18.39,, +"HUN","Hungary","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,5.1,, +"ISL","Iceland","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,1.18,, +"IRL","Ireland","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,8.39,, +"ITA","Italy","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,6.94,, +"JPN","Japan","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,1.67,, +"KOR","Korea","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,0.01,, +"LUX","Luxembourg","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,1.78,, +"MEX","Mexico","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,0.08,, +"NLD","Netherlands","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,2.4,, +"NZL","New Zealand","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,0.75,, +"NOR","Norway","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,0.32,, +"POL","Poland","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,3.77,, +"PRT","Portugal","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,9.11,, +"SVK","Slovak Republic","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,9.46,, +"ESP","Spain","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,12.96,, +"SWE","Sweden","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,1.37,, +"CHE","Switzerland","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,1.46,, +"TUR","Turkey","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,2.37,, +"GBR","United Kingdom","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,2.77,, +"USA","United States","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,1.91,, +"BRA","Brazil","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,1.97,"E","Estimated value" +"CHL","Chile","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,1.59,"E","Estimated value" +"EST","Estonia","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,3.82,, +"ISR","Israel","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,0.79,, +"RUS","Russia","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,1.7,, +"SVN","Slovenia","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,5.15,, +"OECD","OECD - Total","JE_LTUR","Long-term unemployment rate","L","Value","TOT","Total","PC","Percentage","0","units",,,2.79,, +"AUS","Australia","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,1.14,, +"AUT","Austria","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,1.24,, +"BEL","Belgium","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,4.02,, +"CAN","Canada","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,0.97,, +"CZE","Czech Republic","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,2.56,, +"DNK","Denmark","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,1.58,, +"FIN","Finland","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,2.07,, +"FRA","France","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,4.08,, +"DEU","Germany","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,2.55,, +"GRC","Greece","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,16.11,, +"HUN","Hungary","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,5.17,, +"ISL","Iceland","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,1.27,, +"IRL","Ireland","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,10.65,, +"ITA","Italy","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,6.53,, +"JPN","Japan","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,2.12,, +"KOR","Korea","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,0.02,, +"LUX","Luxembourg","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,1.65,, +"MEX","Mexico","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,0.07,, +"NLD","Netherlands","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,2.56,, +"NZL","New Zealand","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,0.76,, +"NOR","Norway","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,0.39,, +"POL","Poland","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,3.48,, +"PRT","Portugal","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,9.21,, +"SVK","Slovak Republic","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,9.49,, +"ESP","Spain","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,12.53,, +"SWE","Sweden","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,1.53,, +"CHE","Switzerland","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,1.28,, +"TUR","Turkey","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,1.79,, +"GBR","United Kingdom","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,3.27,, +"USA","United States","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,2.02,, +"BRA","Brazil","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,2.03,"E","Estimated value" +"CHL","Chile","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,1.65,"E","Estimated value" +"EST","Estonia","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,4.2,, +"ISR","Israel","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,0.85,, +"RUS","Russia","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,1.75,, +"SVN","Slovenia","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,4.89,, +"OECD","OECD - Total","JE_LTUR","Long-term unemployment rate","L","Value","MN","Men","PC","Percentage","0","units",,,2.79,, +"AUS","Australia","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,1.010517276,, +"AUT","Austria","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,1.134177698,, +"BEL","Belgium","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,3.713337319,, +"CAN","Canada","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,0.824315121,, +"CZE","Czech Republic","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,3.848495779,, +"DNK","Denmark","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,2.000832569,, +"FIN","Finland","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,1.374112987,, +"FRA","France","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,3.895667053,, +"DEU","Germany","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,2.167391179,, +"GRC","Greece","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,21.45538744,, +"HUN","Hungary","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,5.017594822,, +"ISL","Iceland","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,1.084049828,, +"IRL","Ireland","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,5.609297843,, +"ITA","Italy","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,7.504315573,, +"JPN","Japan","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,1.075640541,, +"KOR","Korea","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,0.006482082,, +"LUX","Luxembourg","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,1.943470073,, +"MEX","Mexico","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,0.086765421,, +"NLD","Netherlands","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,2.208210809,, +"NZL","New Zealand","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,0.734321524,, +"NOR","Norway","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,0.246741031,, +"POL","Poland","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,4.127639861,, +"PRT","Portugal","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,8.984723231,, +"SVK","Slovak Republic","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,9.436801229,, +"ESP","Spain","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,13.47287476,, +"SWE","Sweden","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,1.180842575,, +"CHE","Switzerland","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,1.668367616,, +"TUR","Turkey","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,3.686043148,, +"GBR","United Kingdom","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,2.212883879,, +"USA","United States","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,1.791424162,, +"BRA","Brazil","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,1.875869653,"E","Estimated value" +"CHL","Chile","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,1.496420206,"E","Estimated value" +"EST","Estonia","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,3.434804239,, +"ISR","Israel","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,0.726055894,, +"RUS","Russia","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,1.636982524,, +"SVN","Slovenia","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,5.456536043,, +"OECD","OECD - Total","JE_LTUR","Long-term unemployment rate","L","Value","WMN","Women","PC","Percentage","0","units",,,2.796370965,, +"AUS","Australia","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,0.61,"E","Estimated value" +"AUT","Austria","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,0.73,"E","Estimated value" +"BEL","Belgium","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,2.28,"E","Estimated value" +"CAN","Canada","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,0.64,"E","Estimated value" +"CZE","Czech Republic","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,1.27,"E","Estimated value" +"DNK","Denmark","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,1.14,"E","Estimated value" +"FIN","Finland","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,0.93,"E","Estimated value" +"FRA","France","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,2.39,"E","Estimated value" +"DEU","Germany","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,1.1,"E","Estimated value" +"GRC","Greece","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,13.85,"E","Estimated value" +"HUN","Hungary","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,2.04,"E","Estimated value" +"ISL","Iceland","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,0.8,"E","Estimated value" +"IRL","Ireland","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,4.42,"E","Estimated value" +"ITA","Italy","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,4.23,"E","Estimated value" +"JPN","Japan","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,1.33,"E","Estimated value" +"KOR","Korea","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,0.01,"E","Estimated value" +"LUX","Luxembourg","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,1.1,"E","Estimated value" +"MEX","Mexico","JE_LTUR","Long-term unemployment rate","L","Value","HGH","High","PC","Percentage","0","units",,,0.09,"E","Estimated value" +"NLD","Netherlands","JE_LTUR","Long-term unemployment 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earnings","L","Value","MN","Men","USD","US Dollar","0","units",,,44937,, +"USA","United States","JE_PEARN","Personal earnings","L","Value","MN","Men","USD","US Dollar","0","units",,,62473,, +"BRA","Brazil","JE_PEARN","Personal earnings","L","Value","MN","Men","USD","US Dollar","0","units",,,18433,"E","Estimated value" +"CHL","Chile","JE_PEARN","Personal earnings","L","Value","MN","Men","USD","US Dollar","0","units",,,23192,"E","Estimated value" +"EST","Estonia","JE_PEARN","Personal earnings","L","Value","MN","Men","USD","US Dollar","0","units",,,21874,"E","Estimated value" +"ISR","Israel","JE_PEARN","Personal earnings","L","Value","MN","Men","USD","US Dollar","0","units",,,32418,"E","Estimated value" +"RUS","Russia","JE_PEARN","Personal earnings","L","Value","MN","Men","USD","US Dollar","0","units",,,22419,"E","Estimated value" +"SVN","Slovenia","JE_PEARN","Personal earnings","L","Value","MN","Men","USD","US Dollar","0","units",,,33249,"E","Estimated value" +"OECD","OECD - 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earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,63976,"E","Estimated value" +"AUT","Austria","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,57907,"E","Estimated value" +"BEL","Belgium","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,58368,"E","Estimated value" +"CAN","Canada","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,64774,"E","Estimated value" +"CZE","Czech Republic","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,25025,"E","Estimated value" +"DNK","Denmark","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,56276,"E","Estimated value" +"FIN","Finland","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,49228,"E","Estimated value" +"FRA","France","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,50443,"E","Estimated value" +"DEU","Germany","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,56839,"E","Estimated value" +"GRC","Greece","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,31866,"E","Estimated value" +"HUN","Hungary","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,25748,"E","Estimated value" +"ISL","Iceland","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,63415,"E","Estimated value" +"IRL","Ireland","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,62359,"E","Estimated value" +"ITA","Italy","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,41189,"E","Estimated value" +"JPN","Japan","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,45463,"E","Estimated value" +"KOR","Korea","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,51137,"E","Estimated value" +"LUX","Luxembourg","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,71770,"E","Estimated value" +"MEX","Mexico","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,19464,"E","Estimated value" +"NLD","Netherlands","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,59672,"E","Estimated value" +"NZL","New Zealand","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,43175,"E","Estimated value" +"NOR","Norway","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,56046,"E","Estimated value" +"POL","Poland","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,28712,"E","Estimated value" +"PRT","Portugal","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,31448,"E","Estimated value" +"SVK","Slovak Republic","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,24546,"E","Estimated value" +"ESP","Spain","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,45977,"E","Estimated value" +"SWE","Sweden","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,51182,"E","Estimated value" +"CHE","Switzerland","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,68465,"E","Estimated value" +"TUR","Turkey","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,17812,"E","Estimated value" +"GBR","United Kingdom","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,52779,"E","Estimated value" +"USA","United States","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,73601,"E","Estimated value" +"BRA","Brazil","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,21103,"E","Estimated value" +"CHL","Chile","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,26429,"E","Estimated value" +"EST","Estonia","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,24816,"E","Estimated value" +"ISR","Israel","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,39492,"E","Estimated value" +"RUS","Russia","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,25777,"E","Estimated value" +"SVN","Slovenia","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,39711,"E","Estimated value" +"OECD","OECD - Total","JE_PEARN","Personal earnings","L","Value","HGH","High","USD","US Dollar","0","units",,,42969,"E","Estimated value" +"AUS","Australia","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,28402,"E","Estimated value" +"AUT","Austria","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,26972,"E","Estimated value" +"BEL","Belgium","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,33560,"E","Estimated value" +"CAN","Canada","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,26687,"E","Estimated value" +"CZE","Czech Republic","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,11570,"E","Estimated value" +"DNK","Denmark","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,28524,"E","Estimated value" +"FIN","Finland","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,27078,"E","Estimated value" +"FRA","France","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,23394,"E","Estimated value" +"DEU","Germany","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,26469,"E","Estimated value" +"GRC","Greece","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,17040,"E","Estimated value" +"HUN","Hungary","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,10834,"E","Estimated value" +"ISL","Iceland","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,32071,"E","Estimated value" +"IRL","Ireland","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,29854,"E","Estimated value" +"ITA","Italy","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,24339,"E","Estimated value" +"JPN","Japan","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,22294,"E","Estimated value" +"KOR","Korea","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,17950,"E","Estimated value" +"LUX","Luxembourg","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,33270,"E","Estimated value" +"MEX","Mexico","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,9053,"E","Estimated value" +"NLD","Netherlands","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,30678,"E","Estimated value" +"NZL","New Zealand","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,20953,"E","Estimated value" +"NOR","Norway","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,34461,"E","Estimated value" +"POL","Poland","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,11593,"E","Estimated value" +"PRT","Portugal","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,11886,"E","Estimated value" +"SVK","Slovak Republic","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,10720,"E","Estimated value" +"ESP","Spain","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,22010,"E","Estimated value" +"SWE","Sweden","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,23788,"E","Estimated value" +"CHE","Switzerland","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,33239,"E","Estimated value" +"TUR","Turkey","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,5671,"E","Estimated value" +"GBR","United Kingdom","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,22751,"E","Estimated value" +"USA","United States","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,24454,"E","Estimated value" +"BRA","Brazil","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,8589,"E","Estimated value" +"CHL","Chile","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,10571,"E","Estimated value" +"EST","Estonia","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,10007,"E","Estimated value" +"ISR","Israel","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,13704,"E","Estimated value" +"RUS","Russia","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,10810,"E","Estimated value" +"SVN","Slovenia","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,18299,"E","Estimated value" +"OECD","OECD - Total","JE_PEARN","Personal earnings","L","Value","LW","Low","USD","US Dollar","0","units",,,17642,"E","Estimated value" +"AUS","Australia","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,92,, +"AUT","Austria","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,89,, +"BEL","Belgium","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,94,, +"CAN","Canada","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,92,, +"CZE","Czech Republic","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,85,, +"DNK","Denmark","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,95,, +"FIN","Finland","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,95,, +"FRA","France","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,87,, +"DEU","Germany","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,94,, +"GRC","Greece","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,83,, +"HUN","Hungary","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,87,, +"ISL","Iceland","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,96,, +"IRL","Ireland","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,96,, +"ITA","Italy","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,90,, +"JPN","Japan","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,89,, +"KOR","Korea","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,72,, +"LUX","Luxembourg","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,87,, +"MEX","Mexico","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,77,, +"NLD","Netherlands","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,90,, +"NZL","New Zealand","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,94,, +"NOR","Norway","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,94,, +"POL","Poland","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,91,, +"PRT","Portugal","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,86,, +"SVK","Slovak Republic","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,90,, +"ESP","Spain","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,95,, +"SWE","Sweden","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,92,, +"CHE","Switzerland","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,96,, +"TUR","Turkey","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,86,, +"GBR","United Kingdom","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,91,, +"USA","United States","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,90,, +"BRA","Brazil","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,90,, +"CHL","Chile","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,86,, +"EST","Estonia","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,89,, +"ISR","Israel","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,87,, +"RUS","Russia","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,90,, +"SVN","Slovenia","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,90,, +"OECD","OECD - Total","SC_SNTWS","Quality of support network","L","Value","TOT","Total","PC","Percentage","0","units",,,88,, +"AUS","Australia","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,92,, +"AUT","Austria","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,88,, +"BEL","Belgium","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,94,, +"CAN","Canada","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,91,, +"CZE","Czech Republic","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,84,, +"DNK","Denmark","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,96,, +"FIN","Finland","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,94,, +"FRA","France","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,88,, +"DEU","Germany","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,94,, +"GRC","Greece","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,83,, +"HUN","Hungary","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,87,, +"ISL","Iceland","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,95,, +"IRL","Ireland","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,96,, +"ITA","Italy","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,89,, +"JPN","Japan","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,85,, +"KOR","Korea","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,71,, +"LUX","Luxembourg","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,90,, +"MEX","Mexico","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,73,, +"NLD","Netherlands","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,92,, +"NZL","New Zealand","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,94,, +"NOR","Norway","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,94,, +"POL","Poland","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,92,, +"PRT","Portugal","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,88,, +"SVK","Slovak Republic","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,90,, +"ESP","Spain","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,94,, +"SWE","Sweden","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,92,, +"CHE","Switzerland","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,95,, +"TUR","Turkey","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,83,, +"GBR","United Kingdom","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,90,, +"USA","United States","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,91,, +"BRA","Brazil","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,90,, +"CHL","Chile","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,86,, +"EST","Estonia","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,87,, +"ISR","Israel","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,88,, +"RUS","Russia","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,89,, +"SVN","Slovenia","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,92,, +"OECD","OECD - Total","SC_SNTWS","Quality of support network","L","Value","MN","Men","PC","Percentage","0","units",,,87,, +"AUS","Australia","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,92,, +"AUT","Austria","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,91,, +"BEL","Belgium","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,95,, +"CAN","Canada","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,92,, +"CZE","Czech Republic","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,85,, +"DNK","Denmark","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,94,, +"FIN","Finland","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,96,, +"FRA","France","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,87,, +"DEU","Germany","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,93,, +"GRC","Greece","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,83,, +"HUN","Hungary","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,87,, +"ISL","Iceland","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,96,, +"IRL","Ireland","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,96,, +"ITA","Italy","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,90,, +"JPN","Japan","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,91,, +"KOR","Korea","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,74,, +"LUX","Luxembourg","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,85,, +"MEX","Mexico","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,80,, +"NLD","Netherlands","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,89,, +"NZL","New Zealand","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,94,, +"NOR","Norway","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,93,, +"POL","Poland","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,91,, +"PRT","Portugal","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,83,, +"SVK","Slovak Republic","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,90,, +"ESP","Spain","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,96,, +"SWE","Sweden","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,93,, +"CHE","Switzerland","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,97,, +"TUR","Turkey","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,89,, +"GBR","United Kingdom","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,92,, +"USA","United States","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,90,, +"BRA","Brazil","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,89,, +"CHL","Chile","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,85,, +"EST","Estonia","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,91,, +"ISR","Israel","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,86,, +"RUS","Russia","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,91,, +"SVN","Slovenia","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,88,, +"OECD","OECD - Total","SC_SNTWS","Quality of support network","L","Value","WMN","Women","PC","Percentage","0","units",,,89,, +"AUS","Australia","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,93,, +"AUT","Austria","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,94,, +"BEL","Belgium","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,94,, +"CAN","Canada","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,95,, +"CZE","Czech Republic","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,90,, +"DNK","Denmark","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,94,, +"FIN","Finland","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,97,, +"FRA","France","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,92,, +"DEU","Germany","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,93,, +"GRC","Greece","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,94,, +"HUN","Hungary","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,92,, +"ISL","Iceland","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,96,, +"IRL","Ireland","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,96,, +"ITA","Italy","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,92,, +"JPN","Japan","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,91,, +"KOR","Korea","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,83,, +"LUX","Luxembourg","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,92,, +"MEX","Mexico","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,79,, +"NLD","Netherlands","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,92,, +"NZL","New Zealand","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,95,, +"NOR","Norway","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,96,, +"POL","Poland","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,96,, +"PRT","Portugal","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,95,, +"SVK","Slovak Republic","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,94,, +"SWE","Sweden","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,95,, +"CHE","Switzerland","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,94,, +"TUR","Turkey","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,95,, +"GBR","United Kingdom","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,96,, +"USA","United States","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,97,, +"CHL","Chile","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,92,, +"EST","Estonia","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,90,, +"ISR","Israel","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,89,, +"RUS","Russia","SC_SNTWS","Quality of support network","L","Value","HGH","High","PC","Percentage","0","units",,,91,, +"CZE","Czech Republic","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,79,, +"FIN","Finland","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,94,, +"GRC","Greece","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,73,, +"HUN","Hungary","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,82,, +"ISL","Iceland","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,96,, +"IRL","Ireland","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,93,, +"ITA","Italy","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,87,, +"JPN","Japan","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,84,, +"KOR","Korea","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,53,, +"MEX","Mexico","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,77,, +"NZL","New Zealand","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,92,, +"NOR","Norway","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,92,, +"POL","Poland","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,84,, +"PRT","Portugal","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,80,, +"SVK","Slovak Republic","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,87,, +"ESP","Spain","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,91,, +"SWE","Sweden","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,85,, +"CHE","Switzerland","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,96,, +"TUR","Turkey","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,80,, +"BRA","Brazil","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,87,, +"CHL","Chile","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,78,, +"EST","Estonia","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,89,, +"RUS","Russia","SC_SNTWS","Quality of support network","L","Value","LW","Low","PC","Percentage","0","units",,,87,, +"AUS","Australia","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,76,, +"AUT","Austria","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,83,, +"BEL","Belgium","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,72,, +"CAN","Canada","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,89,, +"CZE","Czech Republic","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,92,, +"DNK","Denmark","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,78,, +"FIN","Finland","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,85,, +"FRA","France","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,73,, +"DEU","Germany","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,86,, +"GRC","Greece","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,68,, +"HUN","Hungary","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,82,, +"ISL","Iceland","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,71,, +"IRL","Ireland","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,75,, +"ITA","Italy","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,57,, +"JPN","Japan","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,94,"E","Estimated value" +"KOR","Korea","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,82,, +"LUX","Luxembourg","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,78,, +"MEX","Mexico","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,37,, +"NLD","Netherlands","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,73,, +"NZL","New Zealand","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,74,, +"NOR","Norway","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,82,, +"POL","Poland","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,90,, +"PRT","Portugal","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,38,, +"SVK","Slovak Republic","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,92,, +"ESP","Spain","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,55,, +"SWE","Sweden","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,88,, +"CHE","Switzerland","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,86,, +"TUR","Turkey","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,34,, +"GBR","United Kingdom","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,78,, +"USA","United States","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,89,, +"BRA","Brazil","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,45,, +"CHL","Chile","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,57,, +"EST","Estonia","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,90,, +"ISR","Israel","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,85,, +"RUS","Russia","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,94,, +"SVN","Slovenia","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,85,, +"OECD","OECD - Total","ES_EDUA","Educational attainment","L","Value","TOT","Total","PC","Percentage","0","units",,,75,, +"AUS","Australia","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,78,, +"AUT","Austria","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,88,, +"BEL","Belgium","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,71,, +"CAN","Canada","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,88,, +"CZE","Czech Republic","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,95,, +"DNK","Denmark","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,78,, +"FIN","Finland","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,82,, +"FRA","France","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,73,, +"DEU","Germany","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,89,, +"GRC","Greece","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,69,, +"HUN","Hungary","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,85,, +"ISL","Iceland","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,73,, +"IRL","Ireland","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,72,, +"ITA","Italy","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,56,, +"JPN","Japan","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,94,"E","Estimated value" +"KOR","Korea","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,87,, +"LUX","Luxembourg","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,80,, +"MEX","Mexico","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,39,, +"NLD","Netherlands","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,75,, +"NZL","New Zealand","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,75,, +"NOR","Norway","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,82,, +"POL","Poland","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,90,, +"PRT","Portugal","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,34,, +"SVK","Slovak Republic","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,93,, +"ESP","Spain","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,53,, +"SWE","Sweden","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,86,, +"CHE","Switzerland","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,89,, +"TUR","Turkey","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,38,, +"GBR","United Kingdom","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,80,, +"USA","United States","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,88,, +"BRA","Brazil","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,42,, +"CHL","Chile","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,58,, +"EST","Estonia","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,87,, +"ISR","Israel","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,84,, +"RUS","Russia","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,94,, +"SVN","Slovenia","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,86,, +"OECD","OECD - Total","ES_EDUA","Educational attainment","L","Value","MN","Men","PC","Percentage","0","units",,,76,, +"AUS","Australia","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,75,, +"AUT","Austria","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,78,, +"BEL","Belgium","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,73,, +"CAN","Canada","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,90,, +"CZE","Czech Republic","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,90,, +"DNK","Denmark","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,78,, +"FIN","Finland","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,87,, +"FRA","France","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,72,, +"DEU","Germany","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,84,, +"GRC","Greece","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,68,, +"HUN","Hungary","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,80,, +"ISL","Iceland","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,69,, +"IRL","Ireland","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,77,, +"ITA","Italy","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,59,, +"JPN","Japan","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,93,"E","Estimated value" +"KOR","Korea","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,78,, +"LUX","Luxembourg","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,76,, +"MEX","Mexico","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,36,, +"NLD","Netherlands","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,72,, +"NZL","New Zealand","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,74,, +"NOR","Norway","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,82,, +"POL","Poland","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,90,, +"PRT","Portugal","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,41,, +"SVK","Slovak Republic","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,90,, +"ESP","Spain","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,56,, +"SWE","Sweden","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,89,, +"CHE","Switzerland","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,84,, +"TUR","Turkey","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,29,, +"GBR","United Kingdom","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,76,, +"USA","United States","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,90,, +"BRA","Brazil","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,47,, +"CHL","Chile","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,57,, +"EST","Estonia","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,92,, +"ISR","Israel","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,85,, +"RUS","Russia","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,95,, +"SVN","Slovenia","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,84,, +"OECD","OECD - Total","ES_EDUA","Educational attainment","L","Value","WMN","Women","PC","Percentage","0","units",,,75,, +"AUS","Australia","ES_STCS","Student skills","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,512,, +"AUT","Austria","ES_STCS","Student skills","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,500,, +"BEL","Belgium","ES_STCS","Student skills","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,509,, +"CAN","Canada","ES_STCS","Student skills","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,522,, +"CZE","Czech Republic","ES_STCS","Student skills","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,500,, +"DNK","Denmark","ES_STCS","Student skills","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,498,, +"FIN","Finland","ES_STCS","Student skills","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,529,, +"FRA","France","ES_STCS","Student skills","L","Value","TOT","Total","AVSCORE","Average 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education","L","Value","TOT","Total","YR","Years","0","units",,,16.4,, +"USA","United States","ES_EDUEX","Years in education","L","Value","TOT","Total","YR","Years","0","units",,,17.2,, +"BRA","Brazil","ES_EDUEX","Years in education","L","Value","TOT","Total","YR","Years","0","units",,,16.3,, +"CHL","Chile","ES_EDUEX","Years in education","L","Value","TOT","Total","YR","Years","0","units",,,16.5,, +"EST","Estonia","ES_EDUEX","Years in education","L","Value","TOT","Total","YR","Years","0","units",,,17.5,, +"ISR","Israel","ES_EDUEX","Years in education","L","Value","TOT","Total","YR","Years","0","units",,,15.8,, +"RUS","Russia","ES_EDUEX","Years in education","L","Value","TOT","Total","YR","Years","0","units",,,16,, +"SVN","Slovenia","ES_EDUEX","Years in education","L","Value","TOT","Total","YR","Years","0","units",,,18.4,, +"OECD","OECD - Total","ES_EDUEX","Years in education","L","Value","TOT","Total","YR","Years","0","units",,,17.7,, +"AUS","Australia","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,19,, +"AUT","Austria","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,16.8,, +"BEL","Belgium","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,18.3,, +"CAN","Canada","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,16.8,, +"CZE","Czech Republic","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,17.5,, +"DNK","Denmark","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,19,, +"FIN","Finland","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,19.2,, +"FRA","France","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,16.1,, +"DEU","Germany","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,18.4,, +"GRC","Greece","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,18.6,, +"HUN","Hungary","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,17.3,, +"ISL","Iceland","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,19,, +"IRL","Ireland","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,17.6,, +"ITA","Italy","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,16.4,, +"JPN","Japan","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,15.8,, +"KOR","Korea","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,18.2,, +"LUX","Luxembourg","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,15,, +"MEX","Mexico","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,14.3,, +"NLD","Netherlands","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,18.7,, +"NZL","New Zealand","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,17.5,, +"NOR","Norway","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,17.4,, +"POL","Poland","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,17.5,, +"PRT","Portugal","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,17.5,, +"SVK","Slovak Republic","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,15.8,, +"ESP","Spain","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,17.4,, +"SWE","Sweden","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,18.3,, +"CHE","Switzerland","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,17.4,, +"TUR","Turkey","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,16.8,, +"GBR","United Kingdom","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,16,, +"USA","United States","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,16.6,, +"BRA","Brazil","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,15.9,, +"CHL","Chile","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,16.4,, +"EST","Estonia","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,16.9,, +"ISR","Israel","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,15.4,, +"RUS","Russia","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,15.6,, +"SVN","Slovenia","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,17.7,, +"OECD","OECD - Total","ES_EDUEX","Years in education","L","Value","MN","Men","YR","Years","0","units",,,17.4,, +"AUS","Australia","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,19.5,, +"AUT","Austria","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,17.3,, +"BEL","Belgium","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,19.5,, +"CAN","Canada","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,17.7,, +"CZE","Czech Republic","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,18.7,, +"DNK","Denmark","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,19.9,, +"FIN","Finland","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,20.1,, +"FRA","France","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,16.8,, +"DEU","Germany","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,18,, +"GRC","Greece","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,18.7,, +"HUN","Hungary","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,17.8,, +"ISL","Iceland","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,20.6,, +"IRL","Ireland","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,17.5,, +"ITA","Italy","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,17.3,, +"JPN","Japan","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,15.5,, +"KOR","Korea","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,16.7,, +"LUX","Luxembourg","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,15.2,, +"MEX","Mexico","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,14.4,, +"NLD","Netherlands","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,18.7,, +"NZL","New Zealand","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,18.6,, +"NOR","Norway","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,18.4,, +"POL","Poland","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,19.2,, +"PRT","Portugal","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,17.8,, +"SVK","Slovak Republic","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,16.8,, +"ESP","Spain","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,17.9,, +"SWE","Sweden","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,20.3,, +"CHE","Switzerland","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,17.1,, +"TUR","Turkey","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,16.1,, +"GBR","United Kingdom","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,16.7,, +"USA","United States","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,17.9,, +"BRA","Brazil","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,16.7,, +"CHL","Chile","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,16.6,, +"EST","Estonia","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,18.1,, +"ISR","Israel","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,16.3,, +"RUS","Russia","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,16.4,, +"SVN","Slovenia","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,19.1,, +"OECD","OECD - Total","ES_EDUEX","Years in education","L","Value","WMN","Women","YR","Years","0","units",,,18,, +"AUS","Australia","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,13,, +"AUT","Austria","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,27,, +"BEL","Belgium","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,21,, +"CAN","Canada","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,15,, +"CZE","Czech Republic","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,16,, +"DNK","Denmark","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,15,, +"FIN","Finland","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,15,, +"FRA","France","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,12,, +"DEU","Germany","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,16,, +"GRC","Greece","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,27,, +"HUN","Hungary","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,15,, +"ISL","Iceland","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,18,, +"IRL","Ireland","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,13,, +"ITA","Italy","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,21,, +"JPN","Japan","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,24,, +"KOR","Korea","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,30,, +"LUX","Luxembourg","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,12,, +"MEX","Mexico","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,30,, +"NLD","Netherlands","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,30,, +"NZL","New Zealand","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,11,, +"NOR","Norway","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,16,, +"POL","Poland","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,33,, +"PRT","Portugal","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,18,, +"SVK","Slovak Republic","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,13,, +"ESP","Spain","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,24,, +"SWE","Sweden","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,10,, +"CHE","Switzerland","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,20,, +"TUR","Turkey","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,35,, +"GBR","United Kingdom","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,13,, +"USA","United States","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,18,, +"BRA","Brazil","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,18,, +"CHL","Chile","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,46,, +"EST","Estonia","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,9,, +"ISR","Israel","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,21,, +"RUS","Russia","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,15,, +"SVN","Slovenia","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,26,, +"OECD","OECD - Total","EQ_AIRP","Air pollution","L","Value","TOT","Total","MICRO_M3","Micrograms per cubic metre","0","units",,,20,, +"AUS","Australia","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,13,"E","Estimated value" +"AUT","Austria","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,27,"E","Estimated value" +"BEL","Belgium","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,21,"E","Estimated value" +"CAN","Canada","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,15,"E","Estimated value" +"CZE","Czech Republic","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,16,"E","Estimated value" +"DNK","Denmark","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,15,"E","Estimated value" +"FIN","Finland","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,15,"E","Estimated value" +"FRA","France","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,12,"E","Estimated value" +"DEU","Germany","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,16,"E","Estimated value" +"GRC","Greece","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,27,"E","Estimated value" +"HUN","Hungary","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,15,"E","Estimated value" +"ISL","Iceland","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,18,"E","Estimated value" +"IRL","Ireland","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,13,"E","Estimated value" +"ITA","Italy","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,21,"E","Estimated value" +"JPN","Japan","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,24,"E","Estimated value" +"KOR","Korea","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,30,"E","Estimated value" +"LUX","Luxembourg","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,12,"E","Estimated value" +"MEX","Mexico","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,30,"E","Estimated value" +"NLD","Netherlands","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,30,"E","Estimated value" +"NZL","New Zealand","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,11,"E","Estimated value" +"NOR","Norway","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,16,"E","Estimated value" +"POL","Poland","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,33,"E","Estimated value" +"PRT","Portugal","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,18,"E","Estimated value" +"SVK","Slovak Republic","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,13,"E","Estimated value" +"ESP","Spain","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,24,"E","Estimated value" +"SWE","Sweden","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,10,"E","Estimated value" +"CHE","Switzerland","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,20,"E","Estimated value" +"TUR","Turkey","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,35,"E","Estimated value" +"GBR","United Kingdom","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,13,"E","Estimated value" +"USA","United States","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,18,"E","Estimated value" +"BRA","Brazil","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,18,"E","Estimated value" +"CHL","Chile","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,46,"E","Estimated value" +"EST","Estonia","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,9,"E","Estimated value" +"ISR","Israel","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,21,"E","Estimated value" +"RUS","Russia","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,15,"E","Estimated value" +"SVN","Slovenia","EQ_AIRP","Air pollution","L","Value","MN","Men","MICRO_M3","Micrograms per cubic metre","0","units",,,26,"E","Estimated value" +"AUS","Australia","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,13,"E","Estimated value" +"AUT","Austria","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,27,"E","Estimated value" +"BEL","Belgium","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,21,"E","Estimated value" +"CAN","Canada","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,15,"E","Estimated value" +"CZE","Czech Republic","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,16,"E","Estimated value" +"DNK","Denmark","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,15,"E","Estimated value" +"FIN","Finland","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,15,"E","Estimated value" +"FRA","France","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,12,"E","Estimated value" +"DEU","Germany","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,16,"E","Estimated value" +"GRC","Greece","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,27,"E","Estimated value" +"HUN","Hungary","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,15,"E","Estimated value" +"ISL","Iceland","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,18,"E","Estimated value" +"IRL","Ireland","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,13,"E","Estimated value" +"ITA","Italy","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,21,"E","Estimated value" +"JPN","Japan","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,24,"E","Estimated value" +"KOR","Korea","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,30,"E","Estimated value" +"LUX","Luxembourg","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,12,"E","Estimated value" +"MEX","Mexico","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,30,"E","Estimated value" +"NLD","Netherlands","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,30,"E","Estimated value" +"NZL","New Zealand","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,11,"E","Estimated value" +"NOR","Norway","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,16,"E","Estimated value" +"POL","Poland","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,33,"E","Estimated value" +"PRT","Portugal","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,18,"E","Estimated value" +"SVK","Slovak Republic","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,13,"E","Estimated value" +"ESP","Spain","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,24,"E","Estimated value" +"SWE","Sweden","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,10,"E","Estimated value" +"CHE","Switzerland","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,20,"E","Estimated value" +"TUR","Turkey","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,35,"E","Estimated value" +"GBR","United Kingdom","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,13,"E","Estimated value" +"USA","United States","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,18,"E","Estimated value" +"BRA","Brazil","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,18,"E","Estimated value" +"CHL","Chile","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,46,"E","Estimated value" +"EST","Estonia","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,9,"E","Estimated value" +"ISR","Israel","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,21,"E","Estimated value" +"RUS","Russia","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,15,"E","Estimated value" +"SVN","Slovenia","EQ_AIRP","Air pollution","L","Value","WMN","Women","MICRO_M3","Micrograms per cubic metre","0","units",,,26,"E","Estimated value" +"AUS","Australia","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,91,, +"AUT","Austria","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,94,, +"BEL","Belgium","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,87,, +"CAN","Canada","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,91,, +"CZE","Czech Republic","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,85,, +"DNK","Denmark","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,94,, +"FIN","Finland","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,94,, +"FRA","France","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,82,, +"DEU","Germany","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,95,, +"GRC","Greece","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,69,, +"HUN","Hungary","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,77,, +"ISL","Iceland","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,97,, +"IRL","Ireland","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,80,, +"ITA","Italy","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,71,, +"JPN","Japan","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,85,, +"KOR","Korea","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,78,, +"LUX","Luxembourg","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,86,, +"MEX","Mexico","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,67,, +"NLD","Netherlands","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,92,, +"NZL","New Zealand","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,89,, +"NOR","Norway","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,94,, +"POL","Poland","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,79,, +"PRT","Portugal","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,86,, +"SVK","Slovak Republic","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,81,, +"ESP","Spain","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,71,, +"SWE","Sweden","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,95,, +"CHE","Switzerland","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,96,, +"TUR","Turkey","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,62,, +"GBR","United Kingdom","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,88,, +"USA","United States","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,85,, +"BRA","Brazil","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,72,, +"CHL","Chile","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,73,, +"EST","Estonia","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,79,, +"ISR","Israel","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,68,, +"RUS","Russia","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,56,, +"SVN","Slovenia","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,88,, +"OECD","OECD - Total","EQ_WATER","Water quality","L","Value","TOT","Total","PC","Percentage","0","units",,,81,, +"AUS","Australia","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,92,, +"AUT","Austria","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,95,, +"BEL","Belgium","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,87,, +"CAN","Canada","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,94,, +"CZE","Czech Republic","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,85,, +"DNK","Denmark","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,93,, +"FIN","Finland","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,95,, +"FRA","France","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,80,, +"DEU","Germany","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,96,, +"GRC","Greece","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,72,, +"HUN","Hungary","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,75,, +"ISL","Iceland","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,97,, +"IRL","Ireland","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,81,, +"ITA","Italy","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,70,, +"JPN","Japan","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,84,, +"KOR","Korea","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,79,, +"LUX","Luxembourg","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,87,, +"MEX","Mexico","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,68,, +"NLD","Netherlands","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,94,, +"NZL","New Zealand","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,90,, +"NOR","Norway","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,95,, +"POL","Poland","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,80,, +"PRT","Portugal","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,88,, +"SVK","Slovak Republic","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,82,, +"ESP","Spain","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,72,, +"SWE","Sweden","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,96,, +"CHE","Switzerland","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,98,, +"TUR","Turkey","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,65,, +"GBR","United Kingdom","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,86,, +"USA","United States","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,89,, +"BRA","Brazil","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,76,, +"CHL","Chile","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,73,, +"EST","Estonia","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,80,, +"ISR","Israel","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,67,, +"RUS","Russia","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,61,, +"SVN","Slovenia","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,88,, +"OECD","OECD - Total","EQ_WATER","Water quality","L","Value","MN","Men","PC","Percentage","0","units",,,83,, +"AUS","Australia","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,90,, +"AUT","Austria","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,94,, +"BEL","Belgium","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,86,, +"CAN","Canada","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,88,, +"CZE","Czech Republic","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,85,, +"DNK","Denmark","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,94,, +"FIN","Finland","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,93,, +"FRA","France","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,84,, +"DEU","Germany","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,94,, +"GRC","Greece","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,67,, +"HUN","Hungary","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,78,, +"ISL","Iceland","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,98,, +"IRL","Ireland","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,78,, +"ITA","Italy","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,71,, +"JPN","Japan","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,85,, +"KOR","Korea","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,77,, +"LUX","Luxembourg","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,86,, +"MEX","Mexico","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,66,, +"NLD","Netherlands","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,90,, +"NZL","New Zealand","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,89,, +"NOR","Norway","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,93,, +"POL","Poland","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,78,, +"PRT","Portugal","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,85,, +"SVK","Slovak Republic","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,80,, +"ESP","Spain","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,70,, +"SWE","Sweden","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,94,, +"CHE","Switzerland","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,94,, +"TUR","Turkey","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,58,, +"GBR","United Kingdom","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,89,, +"USA","United States","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,81,, +"BRA","Brazil","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,69,, +"CHL","Chile","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,73,, +"EST","Estonia","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,78,, +"ISR","Israel","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,69,, +"RUS","Russia","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,52,, +"SVN","Slovenia","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,88,, +"OECD","OECD - Total","EQ_WATER","Water quality","L","Value","WMN","Women","PC","Percentage","0","units",,,80,, +"AUS","Australia","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,10.5,, +"AUT","Austria","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.1,, +"BEL","Belgium","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,4.5,, +"CAN","Canada","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,10.5,, +"CZE","Czech Republic","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.8,, +"DNK","Denmark","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7,, +"FIN","Finland","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,9,, +"FRA","France","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,3.5,, +"DEU","Germany","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,4.5,, +"GRC","Greece","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.5,, +"HUN","Hungary","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.9,, +"ISL","Iceland","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,5.1,, +"IRL","Ireland","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,9,, +"ITA","Italy","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,5,, +"JPN","Japan","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.3,, +"KOR","Korea","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,10.4,, +"LUX","Luxembourg","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6,, +"MEX","Mexico","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,9,, +"NLD","Netherlands","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.1,, +"NZL","New Zealand","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,10.3,, +"NOR","Norway","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,8.1,, +"POL","Poland","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,10.8,, +"PRT","Portugal","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.5,, +"SVK","Slovak Republic","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.6,, +"ESP","Spain","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.3,, +"SWE","Sweden","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,10.9,, +"CHE","Switzerland","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,8.4,, +"TUR","Turkey","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,5.5,, +"GBR","United Kingdom","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,11.5,, +"USA","United States","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,8.3,, +"BRA","Brazil","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,4,, +"CHL","Chile","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,2,, +"EST","Estonia","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,3.3,, +"ISR","Israel","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,2.5,, +"RUS","Russia","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,2.5,"E","Estimated value" +"SVN","Slovenia","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,10.3,, +"OECD","OECD - Total","CG_TRASG","Consultation on rule-making","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.3,, +"AUS","Australia","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,10.5,"E","Estimated value" +"AUT","Austria","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.1,"E","Estimated value" +"BEL","Belgium","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,4.5,"E","Estimated value" +"CAN","Canada","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,10.5,"E","Estimated value" +"CZE","Czech Republic","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.8,"E","Estimated value" +"DNK","Denmark","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7,"E","Estimated value" +"FIN","Finland","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,9,"E","Estimated value" +"FRA","France","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,3.5,"E","Estimated value" +"DEU","Germany","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,4.5,"E","Estimated value" +"GRC","Greece","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.5,"E","Estimated value" +"HUN","Hungary","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.9,"E","Estimated value" +"ISL","Iceland","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,5.1,"E","Estimated value" +"IRL","Ireland","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,9,"E","Estimated value" +"ITA","Italy","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,5,"E","Estimated value" +"JPN","Japan","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.3,"E","Estimated value" +"KOR","Korea","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,10.4,"E","Estimated value" +"LUX","Luxembourg","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6,"E","Estimated value" +"MEX","Mexico","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,9,"E","Estimated value" +"NLD","Netherlands","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.1,"E","Estimated value" +"NZL","New Zealand","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,10.3,"E","Estimated value" +"NOR","Norway","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,8.1,"E","Estimated value" +"POL","Poland","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,10.8,"E","Estimated value" +"PRT","Portugal","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.5,"E","Estimated value" +"SVK","Slovak Republic","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.6,"E","Estimated value" +"ESP","Spain","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.3,"E","Estimated value" +"SWE","Sweden","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,10.9,"E","Estimated value" +"CHE","Switzerland","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,8.4,"E","Estimated value" +"TUR","Turkey","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,5.5,"E","Estimated value" +"GBR","United Kingdom","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,11.5,"E","Estimated value" +"USA","United States","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,8.3,"E","Estimated value" +"BRA","Brazil","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,4,"E","Estimated value" +"CHL","Chile","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,2,"E","Estimated value" +"EST","Estonia","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,3.3,"E","Estimated value" +"ISR","Israel","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,2.5,"E","Estimated value" +"RUS","Russia","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,2.5,"E","Estimated value" +"SVN","Slovenia","CG_TRASG","Consultation on rule-making","L","Value","MN","Men","AVSCORE","Average score","0","units",,,10.3,"E","Estimated value" +"AUS","Australia","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,10.5,"E","Estimated value" +"AUT","Austria","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.1,"E","Estimated value" +"BEL","Belgium","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,4.5,"E","Estimated value" +"CAN","Canada","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,10.5,"E","Estimated value" +"CZE","Czech Republic","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.8,"E","Estimated value" +"DNK","Denmark","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7,"E","Estimated value" +"FIN","Finland","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,9,"E","Estimated value" +"FRA","France","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,3.5,"E","Estimated value" +"DEU","Germany","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,4.5,"E","Estimated value" +"GRC","Greece","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.5,"E","Estimated value" +"HUN","Hungary","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.9,"E","Estimated value" +"ISL","Iceland","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,5.1,"E","Estimated value" +"IRL","Ireland","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,9,"E","Estimated value" +"ITA","Italy","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,5,"E","Estimated value" +"JPN","Japan","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.3,"E","Estimated value" +"KOR","Korea","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,10.4,"E","Estimated value" +"LUX","Luxembourg","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6,"E","Estimated value" +"MEX","Mexico","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,9,"E","Estimated value" +"NLD","Netherlands","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.1,"E","Estimated value" +"NZL","New Zealand","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,10.3,"E","Estimated value" +"NOR","Norway","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,8.1,"E","Estimated value" +"POL","Poland","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,10.8,"E","Estimated value" +"PRT","Portugal","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.5,"E","Estimated value" +"SVK","Slovak Republic","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.6,"E","Estimated value" +"ESP","Spain","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.3,"E","Estimated value" +"SWE","Sweden","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,10.9,"E","Estimated value" +"CHE","Switzerland","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,8.4,"E","Estimated value" +"TUR","Turkey","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,5.5,"E","Estimated value" +"GBR","United Kingdom","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,11.5,"E","Estimated value" +"USA","United States","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,8.3,"E","Estimated value" +"BRA","Brazil","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,4,"E","Estimated value" +"CHL","Chile","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,2,"E","Estimated value" +"EST","Estonia","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,3.3,"E","Estimated value" +"ISR","Israel","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,2.5,"E","Estimated value" +"RUS","Russia","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,2.5,"E","Estimated value" +"SVN","Slovenia","CG_TRASG","Consultation on rule-making","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,10.3,"E","Estimated value" +"AUS","Australia","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,93,, +"AUT","Austria","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,75,, +"BEL","Belgium","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,89,, +"CAN","Canada","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,61,, +"CZE","Czech Republic","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,59,, +"DNK","Denmark","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,88,, +"FIN","Finland","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,69,, +"FRA","France","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,80,, +"DEU","Germany","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,72,, +"GRC","Greece","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,64,, +"HUN","Hungary","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,62,, +"ISL","Iceland","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,81,, +"IRL","Ireland","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,70,, +"ITA","Italy","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,75,, +"JPN","Japan","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,53,, +"KOR","Korea","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,76,, +"LUX","Luxembourg","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,91,, +"MEX","Mexico","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,63,, +"NLD","Netherlands","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,75,, +"NZL","New Zealand","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,77,, +"NOR","Norway","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,78,, +"POL","Poland","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,55,, +"PRT","Portugal","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,58,, +"SVK","Slovak Republic","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,59,, +"ESP","Spain","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,69,, +"SWE","Sweden","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,86,, +"CHE","Switzerland","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,49,, +"TUR","Turkey","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,88,, +"GBR","United Kingdom","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,66,, +"USA","United States","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,68,, +"BRA","Brazil","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,79,, +"CHL","Chile","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,49,, +"EST","Estonia","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,64,, +"ISR","Israel","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,68,, +"RUS","Russia","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,65,, +"SVN","Slovenia","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,52,, +"OECD","OECD - Total","CG_VOTO","Voter turnout","L","Value","TOT","Total","PC","Percentage","0","units",,,68,, +"AUS","Australia","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,93,"E","Estimated value" +"AUT","Austria","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,77,"E","Estimated value" +"BEL","Belgium","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,91,"E","Estimated value" +"CAN","Canada","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,60,"E","Estimated value" +"CZE","Czech Republic","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,59,"E","Estimated value" +"DNK","Denmark","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,88,"E","Estimated value" +"FIN","Finland","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,70,"E","Estimated value" +"FRA","France","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,85,"E","Estimated value" +"DEU","Germany","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,73,"E","Estimated value" +"GRC","Greece","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,63,"E","Estimated value" +"HUN","Hungary","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,63,"E","Estimated value" +"ISL","Iceland","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,81,"E","Estimated value" +"IRL","Ireland","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,73,"E","Estimated value" +"ITA","Italy","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,77,"E","Estimated value" +"JPN","Japan","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,53,"E","Estimated value" +"KOR","Korea","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,78,"E","Estimated value" +"LUX","Luxembourg","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,92,"E","Estimated value" +"MEX","Mexico","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,65,"E","Estimated value" +"NLD","Netherlands","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,73,"E","Estimated value" +"NZL","New Zealand","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,78,"E","Estimated value" +"NOR","Norway","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,78,"E","Estimated value" +"POL","Poland","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,58,"E","Estimated value" +"PRT","Portugal","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,58,"E","Estimated value" +"SVK","Slovak Republic","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,59,"E","Estimated value" +"ESP","Spain","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,69,"E","Estimated value" +"SWE","Sweden","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,84,"E","Estimated value" +"CHE","Switzerland","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,58,"E","Estimated value" +"TUR","Turkey","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,87,"E","Estimated value" +"GBR","United Kingdom","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,62,"E","Estimated value" +"USA","United States","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,65,"E","Estimated value" +"BRA","Brazil","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,79,"E","Estimated value" +"CHL","Chile","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,49,"E","Estimated value" +"EST","Estonia","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,60,"E","Estimated value" +"ISR","Israel","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,67,"E","Estimated value" +"RUS","Russia","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,61,"E","Estimated value" +"SVN","Slovenia","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,52,"E","Estimated value" +"OECD","OECD - Total","CG_VOTO","Voter turnout","L","Value","MN","Men","PC","Percentage","0","units",,,68,"E","Estimated value" +"AUS","Australia","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,93,"E","Estimated value" +"AUT","Austria","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,73,"E","Estimated value" +"BEL","Belgium","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,88,"E","Estimated value" +"CAN","Canada","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,62,"E","Estimated value" +"CZE","Czech Republic","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,60,"E","Estimated value" +"DNK","Denmark","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,88,"E","Estimated value" +"FIN","Finland","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,68,"E","Estimated value" +"FRA","France","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,75,"E","Estimated value" +"DEU","Germany","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,70,"E","Estimated value" +"GRC","Greece","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,64,"E","Estimated value" +"HUN","Hungary","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,61,"E","Estimated value" +"ISL","Iceland","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,82,"E","Estimated value" +"IRL","Ireland","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,67,"E","Estimated value" +"ITA","Italy","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,73,"E","Estimated value" +"JPN","Japan","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,52,"E","Estimated value" +"KOR","Korea","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,74,"E","Estimated value" +"LUX","Luxembourg","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,91,"E","Estimated value" +"MEX","Mexico","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,61,"E","Estimated value" +"NLD","Netherlands","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,76,"E","Estimated value" +"NZL","New Zealand","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,76,"E","Estimated value" +"NOR","Norway","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,78,"E","Estimated value" +"POL","Poland","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,53,"E","Estimated value" +"PRT","Portugal","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,58,"E","Estimated value" +"SVK","Slovak Republic","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,59,"E","Estimated value" +"ESP","Spain","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,68,"E","Estimated value" +"SWE","Sweden","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,88,"E","Estimated value" +"CHE","Switzerland","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,42,"E","Estimated value" +"TUR","Turkey","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,88,"E","Estimated value" +"GBR","United Kingdom","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,69,"E","Estimated value" +"USA","United States","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,70,"E","Estimated value" +"BRA","Brazil","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,79,"E","Estimated value" +"CHL","Chile","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,50,"E","Estimated value" +"EST","Estonia","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,66,"E","Estimated value" +"ISR","Israel","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,69,"E","Estimated value" +"RUS","Russia","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,69,"E","Estimated value" +"SVN","Slovenia","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,52,"E","Estimated value" +"OECD","OECD - Total","CG_VOTO","Voter turnout","L","Value","WMN","Women","PC","Percentage","0","units",,,68,"E","Estimated value" +"AUS","Australia","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,94,"E","Estimated value" +"AUT","Austria","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,82,"E","Estimated value" +"BEL","Belgium","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,93,"E","Estimated value" +"CAN","Canada","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,63,"E","Estimated value" +"CZE","Czech Republic","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,68,"E","Estimated value" +"DNK","Denmark","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,90,"E","Estimated value" +"FIN","Finland","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,74,"E","Estimated value" +"FRA","France","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,89,"E","Estimated value" +"DEU","Germany","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,81,"E","Estimated value" +"GRC","Greece","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,71,"E","Estimated value" +"HUN","Hungary","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,70,"E","Estimated value" +"ISL","Iceland","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,84,"E","Estimated value" +"IRL","Ireland","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,69,"E","Estimated value" +"ITA","Italy","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,85,"E","Estimated value" +"JPN","Japan","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,52,"E","Estimated value" +"KOR","Korea","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,100,"E","Estimated value" +"LUX","Luxembourg","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,94,"E","Estimated value" +"MEX","Mexico","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,63,"E","Estimated value" +"NLD","Netherlands","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,84,"E","Estimated value" +"NZL","New Zealand","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,84,"E","Estimated value" +"NOR","Norway","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,85,"E","Estimated value" +"POL","Poland","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,68,"E","Estimated value" +"PRT","Portugal","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,63,"E","Estimated value" +"SVK","Slovak Republic","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,64,"E","Estimated value" +"ESP","Spain","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,76,"E","Estimated value" +"SWE","Sweden","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,90,"E","Estimated value" +"CHE","Switzerland","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,61,"E","Estimated value" +"TUR","Turkey","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,89,"E","Estimated value" +"GBR","United Kingdom","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,73,"E","Estimated value" +"USA","United States","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,77,"E","Estimated value" +"BRA","Brazil","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,81,"E","Estimated value" +"CHL","Chile","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,51,"E","Estimated value" +"EST","Estonia","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,68,"E","Estimated value" +"ISR","Israel","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,74,"E","Estimated value" +"RUS","Russia","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,70,"E","Estimated value" +"SVN","Slovenia","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,59,"E","Estimated value" +"OECD","OECD - Total","CG_VOTO","Voter turnout","L","Value","HGH","High","PC","Percentage","0","units",,,74,"E","Estimated value" +"AUS","Australia","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,92,"E","Estimated value" +"AUT","Austria","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,72,"E","Estimated value" +"BEL","Belgium","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,88,"E","Estimated value" +"CAN","Canada","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,60,"E","Estimated value" +"CZE","Czech Republic","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,49,"E","Estimated value" +"DNK","Denmark","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,86,"E","Estimated value" +"FIN","Finland","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,61,"E","Estimated value" +"FRA","France","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,79,"E","Estimated value" +"DEU","Germany","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,59,"E","Estimated value" +"GRC","Greece","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,58,"E","Estimated value" +"HUN","Hungary","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,51,"E","Estimated value" +"ISL","Iceland","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,74,"E","Estimated value" +"IRL","Ireland","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,67,"E","Estimated value" +"ITA","Italy","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,73,"E","Estimated value" +"JPN","Japan","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,52,"E","Estimated value" +"KOR","Korea","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,71,"E","Estimated value" +"LUX","Luxembourg","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,91,"E","Estimated value" +"MEX","Mexico","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,61,"E","Estimated value" +"NLD","Netherlands","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,65,"E","Estimated value" +"NZL","New Zealand","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,77,"E","Estimated value" +"NOR","Norway","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,72,"E","Estimated value" +"POL","Poland","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,43,"E","Estimated value" +"PRT","Portugal","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,56,"E","Estimated value" +"SVK","Slovak Republic","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,60,"E","Estimated value" +"ESP","Spain","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,66,"E","Estimated value" +"SWE","Sweden","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,84,"E","Estimated value" +"CHE","Switzerland","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,43,"E","Estimated value" +"TUR","Turkey","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,84,"E","Estimated value" +"GBR","United Kingdom","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,50,"E","Estimated value" +"USA","United States","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,54,"E","Estimated value" +"BRA","Brazil","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,80,"E","Estimated value" +"CHL","Chile","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,52,"E","Estimated value" +"EST","Estonia","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,56,"E","Estimated value" +"ISR","Israel","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,66,"E","Estimated value" +"RUS","Russia","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,66,"E","Estimated value" +"SVN","Slovenia","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,49,"E","Estimated value" +"OECD","OECD - Total","CG_VOTO","Voter turnout","L","Value","LW","Low","PC","Percentage","0","units",,,61,"E","Estimated value" +"AUS","Australia","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,82.1,, +"AUT","Austria","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,81,, +"BEL","Belgium","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,80.5,, +"CAN","Canada","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,81.5,, +"CZE","Czech Republic","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,78.2,, +"DNK","Denmark","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,80.1,, +"FIN","Finland","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,80.7,, +"FRA","France","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,82.1,, +"DEU","Germany","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,81,, +"GRC","Greece","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,80.7,, +"HUN","Hungary","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,75.2,, +"ISL","Iceland","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,83,, +"IRL","Ireland","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,81,, +"ITA","Italy","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,82.3,, +"JPN","Japan","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,83.2,, +"KOR","Korea","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,81.3,, +"LUX","Luxembourg","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,81.5,, +"MEX","Mexico","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,74.6,, +"NLD","Netherlands","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,81.2,, +"NZL","New Zealand","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,81.5,, +"NOR","Norway","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,81.5,, +"POL","Poland","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,76.9,, +"PRT","Portugal","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,80.5,, +"SVK","Slovak Republic","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,76.2,, +"ESP","Spain","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,82.5,, +"SWE","Sweden","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,81.8,, +"CHE","Switzerland","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,82.8,, +"TUR","Turkey","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,74.6,, +"GBR","United Kingdom","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,81,, +"USA","United States","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,78.7,, +"BRA","Brazil","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,73.7,, +"CHL","Chile","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,78.9,, +"EST","Estonia","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,76.5,, +"ISR","Israel","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,81.8,, +"RUS","Russia","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,70.2,, +"SVN","Slovenia","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,80.2,, +"OECD","OECD - Total","HS_LEB","Life expectancy","L","Value","TOT","Total","YR","Years","0","units",,,79.6,, +"AUS","Australia","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,79.9,, +"AUT","Austria","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,78.4,, +"BEL","Belgium","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,77.8,, +"CAN","Canada","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,79.3,, +"CZE","Czech Republic","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,75.1,, +"DNK","Denmark","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,78.1,, +"FIN","Finland","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,77.7,, +"FRA","France","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,78.7,, +"DEU","Germany","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,78.6,, +"GRC","Greece","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,78,, +"HUN","Hungary","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,71.6,, +"ISL","Iceland","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,81.6,, +"IRL","Ireland","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,78.7,, +"ITA","Italy","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,79.8,, +"JPN","Japan","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,79.9,, +"KOR","Korea","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,77.9,, +"LUX","Luxembourg","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,79.1,, +"MEX","Mexico","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,71.7,, +"NLD","Netherlands","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,79.3,, +"NZL","New Zealand","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,79.7,, +"NOR","Norway","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,79.5,, +"POL","Poland","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,72.7,, +"PRT","Portugal","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,77.3,, +"SVK","Slovak Republic","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,72.5,, +"ESP","Spain","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,79.5,, +"SWE","Sweden","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,79.9,, +"CHE","Switzerland","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,80.6,, +"TUR","Turkey","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,72,, +"GBR","United Kingdom","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,79.1,, +"USA","United States","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,76.3,, +"BRA","Brazil","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,70.1,, +"CHL","Chile","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,76.3,, +"EST","Estonia","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,71.4,, +"ISR","Israel","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,79.9,, +"RUS","Russia","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,64.6,, +"SVN","Slovenia","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,77.1,, +"OECD","OECD - Total","HS_LEB","Life expectancy","L","Value","MN","Men","YR","Years","0","units",,,76.9,, +"AUS","Australia","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,84.3,, +"AUT","Austria","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83.6,, +"BEL","Belgium","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83.1,, +"CAN","Canada","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83.6,, +"CZE","Czech Republic","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,81.2,, +"DNK","Denmark","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,82.1,, +"FIN","Finland","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83.7,, +"FRA","France","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,85.4,, +"DEU","Germany","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83.3,, +"GRC","Greece","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83.4,, +"HUN","Hungary","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,78.7,, +"ISL","Iceland","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,84.3,, +"IRL","Ireland","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83.2,, +"ITA","Italy","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,84.8,, +"JPN","Japan","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,86.4,, +"KOR","Korea","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,84.6,, +"LUX","Luxembourg","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83.8,, +"MEX","Mexico","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,77.4,, +"NLD","Netherlands","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83,, +"NZL","New Zealand","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83.2,, +"NOR","Norway","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83.5,, +"POL","Poland","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,81.1,, +"PRT","Portugal","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83.6,, +"SVK","Slovak Republic","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,79.9,, +"ESP","Spain","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,85.5,, +"SWE","Sweden","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83.6,, +"CHE","Switzerland","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,84.9,, +"TUR","Turkey","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,77.2,, +"GBR","United Kingdom","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,82.8,, +"USA","United States","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,81.1,, +"BRA","Brazil","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,77.3,, +"CHL","Chile","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,81.4,, +"EST","Estonia","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,81.5,, +"ISR","Israel","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83.6,, +"RUS","Russia","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,75.9,, +"SVN","Slovenia","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,83.3,, +"OECD","OECD - Total","HS_LEB","Life expectancy","L","Value","WMN","Women","YR","Years","0","units",,,82.3,, +"AUS","Australia","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,85,, +"AUT","Austria","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,69,, +"BEL","Belgium","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,74,, +"CAN","Canada","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,89,, +"CZE","Czech Republic","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,60,, +"DNK","Denmark","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,72,, +"FIN","Finland","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,65,, +"FRA","France","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,67,, +"DEU","Germany","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,65,, +"GRC","Greece","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,74,, +"HUN","Hungary","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,57,, +"ISL","Iceland","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,77,, +"IRL","Ireland","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,82,, +"ITA","Italy","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,66,, +"JPN","Japan","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,30,, +"KOR","Korea","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,35,, +"LUX","Luxembourg","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,72,, +"MEX","Mexico","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,66,, +"NLD","Netherlands","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,76,, +"NZL","New Zealand","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,90,, +"NOR","Norway","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,76,, +"POL","Poland","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,58,, +"PRT","Portugal","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,46,, +"SVK","Slovak Republic","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,66,, +"ESP","Spain","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,72,, +"SWE","Sweden","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,81,, +"CHE","Switzerland","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,81,, +"TUR","Turkey","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,68,, +"GBR","United Kingdom","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,74,, +"USA","United States","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,88,, +"BRA","Brazil","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,69,"E","Estimated value" +"CHL","Chile","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,59,, +"EST","Estonia","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,54,, +"ISR","Israel","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,80,, +"RUS","Russia","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,37,, +"SVN","Slovenia","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,65,, +"OECD","OECD - Total","HS_SFRH","Self-reported health","L","Value","TOT","Total","PC","Percentage","0","units",,,68,, +"AUS","Australia","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,85,, +"AUT","Austria","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,71,, +"BEL","Belgium","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,77,, +"CAN","Canada","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,89,, +"CZE","Czech Republic","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,62,, +"DNK","Denmark","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,74,, +"FIN","Finland","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,65,, +"FRA","France","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,70,, +"DEU","Germany","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,67,, +"GRC","Greece","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,77,, +"HUN","Hungary","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,61,, +"ISL","Iceland","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,79,, +"IRL","Ireland","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,83,, +"ITA","Italy","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,70,, +"JPN","Japan","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,32,, +"KOR","Korea","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,39,, +"LUX","Luxembourg","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,74,, +"MEX","Mexico","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,67,, +"NLD","Netherlands","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,80,, +"NZL","New Zealand","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,90,, +"NOR","Norway","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,77,, +"POL","Poland","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,62,, +"PRT","Portugal","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,51,, +"SVK","Slovak Republic","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,71,, +"ESP","Spain","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,75,, +"SWE","Sweden","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,84,, +"CHE","Switzerland","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,83,, +"TUR","Turkey","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,72,, +"GBR","United Kingdom","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,74,, +"USA","United States","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,88,, +"BRA","Brazil","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,72,"E","Estimated value" +"CHL","Chile","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,67,, +"EST","Estonia","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,57,, +"ISR","Israel","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,82,, +"RUS","Russia","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,45,, +"SVN","Slovenia","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,68,, +"OECD","OECD - Total","HS_SFRH","Self-reported health","L","Value","MN","Men","PC","Percentage","0","units",,,70,, +"AUS","Australia","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,85,, +"AUT","Austria","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,67,, +"BEL","Belgium","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,72,, +"CAN","Canada","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,89,, +"CZE","Czech Republic","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,58,, +"DNK","Denmark","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,70,, +"FIN","Finland","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,64,, +"FRA","France","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,64,, +"DEU","Germany","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,63,, +"GRC","Greece","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,71,, +"HUN","Hungary","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,53,, +"ISL","Iceland","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,74,, +"IRL","Ireland","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,81,, +"ITA","Italy","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,62,, +"JPN","Japan","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,29,, +"KOR","Korea","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,32,, +"LUX","Luxembourg","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,70,, +"MEX","Mexico","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,64,, +"NLD","Netherlands","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,72,, +"NZL","New Zealand","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,90,, +"NOR","Norway","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,75,, +"POL","Poland","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,55,, +"PRT","Portugal","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,41,, +"SVK","Slovak Republic","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,61,, +"ESP","Spain","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,68,, +"SWE","Sweden","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,79,, +"CHE","Switzerland","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,78,, +"TUR","Turkey","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,63,, +"GBR","United Kingdom","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,74,, +"USA","United States","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,87,, +"BRA","Brazil","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,66,"E","Estimated value" +"CHL","Chile","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,51,, +"EST","Estonia","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,51,, +"ISR","Israel","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,78,, +"RUS","Russia","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,33,, +"SVN","Slovenia","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,62,, +"OECD","OECD - Total","HS_SFRH","Self-reported health","L","Value","WMN","Women","PC","Percentage","0","units",,,66,, +"AUS","Australia","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,93,"E","Estimated value" +"AUT","Austria","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,80,, +"BEL","Belgium","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,86,, +"CAN","Canada","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,95,, +"CZE","Czech Republic","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,77,, +"DNK","Denmark","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,83,, +"FIN","Finland","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,77,, +"FRA","France","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,74,, +"DEU","Germany","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,77,, +"GRC","Greece","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,83,, +"HUN","Hungary","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,69,, +"ISL","Iceland","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,82,, +"IRL","Ireland","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,91,, +"ITA","Italy","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,74,, +"JPN","Japan","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,35,, +"KOR","Korea","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,42,, +"LUX","Luxembourg","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,80,, +"MEX","Mexico","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,79,"E","Estimated value" +"NLD","Netherlands","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,84,, +"NZL","New Zealand","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,94,, +"NOR","Norway","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,85,, +"POL","Poland","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,69,, +"PRT","Portugal","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,62,, +"SVK","Slovak Republic","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,78,, +"ESP","Spain","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,81,, +"SWE","Sweden","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,89,, +"CHE","Switzerland","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,89,, +"TUR","Turkey","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,76,, +"GBR","United Kingdom","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,89,, +"USA","United States","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,96,, +"BRA","Brazil","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,82,"E","Estimated value" +"CHL","Chile","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,72,, +"EST","Estonia","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,78,, +"ISR","Israel","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,96,, +"RUS","Russia","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,48,"E","Estimated value" +"SVN","Slovenia","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,76,, +"OECD","OECD - Total","HS_SFRH","Self-reported health","L","Value","HGH","High","PC","Percentage","0","units",,,70,, +"AUS","Australia","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,76,"E","Estimated value" +"AUT","Austria","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,60,, +"BEL","Belgium","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,58,, +"CAN","Canada","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,79,, +"CZE","Czech Republic","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,48,, +"DNK","Denmark","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,67,, +"FIN","Finland","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,49,, +"FRA","France","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,62,, +"DEU","Germany","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,52,, +"GRC","Greece","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,76,, +"HUN","Hungary","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,53,, +"ISL","Iceland","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,73,, +"IRL","Ireland","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,77,, +"ITA","Italy","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,63,, +"JPN","Japan","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,24,, +"KOR","Korea","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,31,, +"LUX","Luxembourg","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,67,, +"MEX","Mexico","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,58,"E","Estimated value" +"NLD","Netherlands","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,66,, +"NZL","New Zealand","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,87,, +"NOR","Norway","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,68,, +"POL","Poland","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,54,, +"PRT","Portugal","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,40,, +"SVK","Slovak Republic","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,60,, +"ESP","Spain","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,69,, +"SWE","Sweden","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,70,, +"CHE","Switzerland","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,69,, +"TUR","Turkey","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,61,, +"GBR","United Kingdom","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,64,, +"USA","United States","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,75,, +"BRA","Brazil","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,61,"E","Estimated value" +"CHL","Chile","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,54,, +"EST","Estonia","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,39,, +"ISR","Israel","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,84,, +"RUS","Russia","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,30,"E","Estimated value" +"SVN","Slovenia","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,52,, +"OECD","OECD - Total","HS_SFRH","Self-reported health","L","Value","LW","Low","PC","Percentage","0","units",,,54,, +"AUS","Australia","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.3,, +"AUT","Austria","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.9,, +"BEL","Belgium","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.9,, +"CAN","Canada","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.3,, +"CZE","Czech Republic","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.5,, +"DNK","Denmark","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.5,, +"FIN","Finland","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.4,, +"FRA","France","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.5,, +"DEU","Germany","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7,, +"GRC","Greece","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,4.8,, +"HUN","Hungary","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,4.9,, +"ISL","Iceland","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.5,, +"IRL","Ireland","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7,, +"ITA","Italy","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6,, +"JPN","Japan","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,5.9,, +"KOR","Korea","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,5.8,, +"LUX","Luxembourg","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.9,, +"MEX","Mexico","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.7,, +"NLD","Netherlands","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.3,, +"NZL","New Zealand","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.3,, +"NOR","Norway","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.4,, +"POL","Poland","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,5.8,, +"PRT","Portugal","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,5.1,, +"SVK","Slovak Republic","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.1,, +"ESP","Spain","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.5,, +"SWE","Sweden","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.2,, +"CHE","Switzerland","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.5,, +"TUR","Turkey","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,5.6,, +"GBR","United Kingdom","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.8,, +"USA","United States","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.2,, +"BRA","Brazil","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7,, +"CHL","Chile","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.7,, +"EST","Estonia","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,5.6,, +"ISR","Israel","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,7.4,, +"RUS","Russia","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6,, +"SVN","Slovenia","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,5.7,, +"OECD","OECD - Total","SW_LIFS","Life satisfaction","L","Value","TOT","Total","AVSCORE","Average score","0","units",,,6.6,, +"AUS","Australia","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.2,, +"AUT","Austria","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.9,, +"BEL","Belgium","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.8,, +"CAN","Canada","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.3,, +"CZE","Czech Republic","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.5,, +"DNK","Denmark","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.6,, +"FIN","Finland","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.2,, +"FRA","France","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.4,, +"DEU","Germany","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.9,, +"GRC","Greece","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,4.6,, +"HUN","Hungary","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,5.1,, +"ISL","Iceland","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.4,, +"IRL","Ireland","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7,, +"ITA","Italy","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.2,, +"JPN","Japan","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,5.7,, +"KOR","Korea","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,5.5,, +"LUX","Luxembourg","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.9,, +"MEX","Mexico","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.6,, +"NLD","Netherlands","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.3,, +"NZL","New Zealand","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.3,, +"NOR","Norway","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.3,, +"POL","Poland","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,5.7,, +"PRT","Portugal","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,5.1,, +"SVK","Slovak Republic","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.1,, +"ESP","Spain","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.4,, +"SWE","Sweden","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.2,, +"CHE","Switzerland","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.5,, +"TUR","Turkey","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,5.4,, +"GBR","United Kingdom","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.8,, +"USA","United States","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.1,, +"BRA","Brazil","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7,, +"CHL","Chile","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.7,, +"EST","Estonia","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,5.6,, +"ISR","Israel","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,7.5,, +"RUS","Russia","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.1,, +"SVN","Slovenia","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,5.7,, +"OECD","OECD - Total","SW_LIFS","Life satisfaction","L","Value","MN","Men","AVSCORE","Average score","0","units",,,6.5,, +"AUS","Australia","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.4,, +"AUT","Austria","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7,, +"BEL","Belgium","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.9,, +"CAN","Canada","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.3,, +"CZE","Czech Republic","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.5,, +"DNK","Denmark","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.5,, +"FIN","Finland","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.5,, +"FRA","France","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.5,, +"DEU","Germany","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7,, +"GRC","Greece","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,4.9,, +"HUN","Hungary","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,4.8,, +"ISL","Iceland","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.6,, +"IRL","Ireland","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7,, +"ITA","Italy","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,5.9,, +"JPN","Japan","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.1,, +"KOR","Korea","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6,, +"LUX","Luxembourg","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.9,, +"MEX","Mexico","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.8,, +"NLD","Netherlands","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.3,, +"NZL","New Zealand","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.3,, +"NOR","Norway","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.6,, +"POL","Poland","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,5.8,, +"PRT","Portugal","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,5.1,, +"SVK","Slovak Republic","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.2,, +"ESP","Spain","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.5,, +"SWE","Sweden","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.2,, +"CHE","Switzerland","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.5,, +"TUR","Turkey","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,5.8,, +"GBR","United Kingdom","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.8,, +"USA","United States","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.2,, +"BRA","Brazil","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7,, +"CHL","Chile","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.8,, +"EST","Estonia","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,5.6,, +"ISR","Israel","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,7.3,, +"RUS","Russia","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6,, +"SVN","Slovenia","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,5.6,, +"OECD","OECD - Total","SW_LIFS","Life satisfaction","L","Value","WMN","Women","AVSCORE","Average score","0","units",,,6.6,, +"AUS","Australia","SW_LIFS","Life satisfaction","L","Value","HGH","High","AVSCORE","Average score","0","units",,,7.4,, +"AUT","Austria","SW_LIFS","Life satisfaction","L","Value","HGH","High","AVSCORE","Average score","0","units",,,7.6,, +"BEL","Belgium","SW_LIFS","Life satisfaction","L","Value","HGH","High","AVSCORE","Average score","0","units",,,7.2,, +"CAN","Canada","SW_LIFS","Life satisfaction","L","Value","HGH","High","AVSCORE","Average score","0","units",,,7.6,, +"CZE","Czech Republic","SW_LIFS","Life satisfaction","L","Value","HGH","High","AVSCORE","Average score","0","units",,,7.2,, +"DNK","Denmark","SW_LIFS","Life 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rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.5,, +"CZE","Czech Republic","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.8,, +"DNK","Denmark","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.3,, +"FIN","Finland","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.4,, +"FRA","France","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.6,, +"DEU","Germany","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.5,, +"GRC","Greece","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.6,, +"HUN","Hungary","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.3,, +"ISL","Iceland","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.3,, +"IRL","Ireland","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.8,, +"ITA","Italy","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.7,, +"JPN","Japan","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.3,, +"KOR","Korea","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.1,, +"LUX","Luxembourg","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.4,, +"MEX","Mexico","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,23.4,, +"NLD","Netherlands","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.9,, +"NZL","New Zealand","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.2,, +"NOR","Norway","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.6,, +"POL","Poland","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.9,, +"PRT","Portugal","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.1,, +"SVK","Slovak Republic","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.2,, +"ESP","Spain","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.6,, +"SWE","Sweden","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.7,, +"CHE","Switzerland","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.5,, +"TUR","Turkey","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,1.2,, +"GBR","United Kingdom","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.3,, +"USA","United States","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,5.2,, +"BRA","Brazil","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,25.5,, +"CHL","Chile","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,4.4,, +"EST","Estonia","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,4.8,, +"ISR","Israel","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,2.3,, +"RUS","Russia","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,12.8,, +"SVN","Slovenia","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,0.4,, +"OECD","OECD - Total","PS_REPH","Homicide rate","L","Value","TOT","Total","RATIO","Ratio","0","units",,,4,, +"AUS","Australia","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.1,, +"AUT","Austria","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,0.4,, +"BEL","Belgium","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.4,, +"CAN","Canada","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,2.1,, +"CZE","Czech Republic","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,1,, +"DNK","Denmark","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,0.4,, +"FIN","Finland","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.4,, +"FRA","France","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,0.8,, +"DEU","Germany","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,0.5,, +"GRC","Greece","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,2.6,, +"HUN","Hungary","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.7,, +"ISL","Iceland","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,0.6,, +"IRL","Ireland","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.4,, +"ITA","Italy","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.1,, +"JPN","Japan","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,0.3,, +"KOR","Korea","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.2,, +"LUX","Luxembourg","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,0.8,, +"MEX","Mexico","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,44.5,, +"NLD","Netherlands","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.2,, +"NZL","New Zealand","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.5,, +"NOR","Norway","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,0.8,, +"POL","Poland","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.4,, +"PRT","Portugal","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.5,, +"SVK","Slovak Republic","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,1.4,, +"ESP","Spain","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,0.9,, +"SWE","Sweden","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,0.9,, +"CHE","Switzerland","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,0.5,, +"TUR","Turkey","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,2,, +"GBR","United Kingdom","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,0.4,, +"USA","United States","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,8.1,, +"BRA","Brazil","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,48.1,, +"CHL","Chile","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,7.9,, +"EST","Estonia","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,7.6,, +"ISR","Israel","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,3.5,, +"RUS","Russia","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,21.8,, +"SVN","Slovenia","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,0.5,, +"OECD","OECD - Total","PS_REPH","Homicide rate","L","Value","MN","Men","RATIO","Ratio","0","units",,,6.9,, +"AUS","Australia","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.6,, +"AUT","Austria","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.4,, +"BEL","Belgium","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.7,, +"CAN","Canada","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.9,, +"CZE","Czech Republic","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.7,, +"DNK","Denmark","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.2,, +"FIN","Finland","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.4,, +"FRA","France","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.4,, +"DEU","Germany","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.5,, +"GRC","Greece","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.5,, +"HUN","Hungary","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1,, +"ISL","Iceland","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0,, +"IRL","Ireland","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.2,, +"ITA","Italy","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.4,, +"JPN","Japan","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.3,, +"KOR","Korea","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1,, +"LUX","Luxembourg","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0,, +"MEX","Mexico","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,4.8,, +"NLD","Netherlands","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.6,, +"NZL","New Zealand","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1,, +"NOR","Norway","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.4,, +"POL","Poland","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.5,, +"PRT","Portugal","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.7,, +"SVK","Slovak Republic","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1,, +"ESP","Spain","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.4,, +"SWE","Sweden","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.4,, +"CHE","Switzerland","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.5,, +"TUR","Turkey","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.5,, +"GBR","United Kingdom","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.2,, +"USA","United States","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,2.2,, +"BRA","Brazil","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,4.4,, +"CHL","Chile","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1,, +"EST","Estonia","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,2.5,, +"ISR","Israel","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.1,, +"RUS","Russia","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,5.9,, +"SVN","Slovenia","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,0.4,, +"OECD","OECD - Total","PS_REPH","Homicide rate","L","Value","WMN","Women","RATIO","Ratio","0","units",,,1.3,, +"AUS","Australia","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,14.02,, +"AUT","Austria","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,7.61,, +"BEL","Belgium","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,4.57,, +"CAN","Canada","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,3.94,, +"CZE","Czech Republic","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,6.98,, +"DNK","Denmark","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,2.03,, +"FIN","Finland","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,3.58,, +"FRA","France","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,8.15,, +"DEU","Germany","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,5.25,, +"GRC","Greece","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,6.16,, +"HUN","Hungary","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,3.19,, +"ISL","Iceland","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,12.25,"E","Estimated value" +"IRL","Ireland","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,4.2,, +"ITA","Italy","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,3.66,, +"JPN","Japan","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,22.26,"E","Estimated value" +"KOR","Korea","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,18.72,"E","Estimated value" +"LUX","Luxembourg","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,3.47,, +"MEX","Mexico","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,28.83,, +"NLD","Netherlands","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,0.45,, +"NZL","New Zealand","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,13.87,, +"NOR","Norway","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,2.82,, +"POL","Poland","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,7.41,, +"PRT","Portugal","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,9.62,, +"SVK","Slovak Republic","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,7.02,, +"ESP","Spain","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,5.89,, +"SWE","Sweden","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,1.13,, +"CHE","Switzerland","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,6.72,"E","Estimated value" +"TUR","Turkey","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,40.86,, +"GBR","United Kingdom","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,12.7,, +"USA","United States","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,11.3,, +"BRA","Brazil","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,10.41,, +"CHL","Chile","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,15.42,, +"EST","Estonia","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,3.3,, +"ISR","Israel","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,16.03,, +"RUS","Russia","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,0.16,, +"SVN","Slovenia","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,5.63,, +"OECD","OECD - Total","WL_EWLH","Employees working very long hours","L","Value","TOT","Total","PC","Percentage","0","units",,,12.51,, +"AUS","Australia","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,20.67,, +"AUT","Austria","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,11.78,, +"BEL","Belgium","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,6.6,, +"CAN","Canada","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,6.35,, +"CZE","Czech Republic","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,10.48,, +"DNK","Denmark","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,3.13,, +"FIN","Finland","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,5.75,, +"FRA","France","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,11.41,, +"DEU","Germany","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,7.9,, +"GRC","Greece","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,7.89,, +"HUN","Hungary","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,4.74,, +"ISL","Iceland","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,17.27,"E","Estimated value" +"IRL","Ireland","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,6.7,, +"ITA","Italy","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,5.05,, +"JPN","Japan","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,28.97,"E","Estimated value" +"KOR","Korea","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,25.09,"E","Estimated value" +"LUX","Luxembourg","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,4.76,, +"MEX","Mexico","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,35.39,, +"NLD","Netherlands","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,0.76,, +"NZL","New Zealand","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,19.97,, +"NOR","Norway","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,4.33,, +"POL","Poland","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,11.3,, +"PRT","Portugal","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,13.29,, +"SVK","Slovak Republic","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,10.55,, +"ESP","Spain","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,8.34,, +"SWE","Sweden","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,1.76,, +"CHE","Switzerland","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,9.83,"E","Estimated value" +"TUR","Turkey","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,44.55,, +"GBR","United Kingdom","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,18.8,, +"USA","United States","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,15.58,, +"BRA","Brazil","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,12.92,, +"CHL","Chile","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,18.94,, +"EST","Estonia","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,4.5,, +"ISR","Israel","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,23.94,, +"RUS","Russia","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,0.25,, +"SVN","Slovenia","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,7.61,, +"OECD","OECD - Total","WL_EWLH","Employees working very long hours","L","Value","MN","Men","PC","Percentage","0","units",,,17.3,, +"AUS","Australia","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,6.5,, +"AUT","Austria","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,3.14,, +"BEL","Belgium","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,2.44,, +"CAN","Canada","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,1.49,, +"CZE","Czech Republic","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,2.83,, +"DNK","Denmark","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,0.89,, +"FIN","Finland","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,1.52,, +"FRA","France","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,4.87,, +"DEU","Germany","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,2.37,, +"GRC","Greece","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,3.93,, +"HUN","Hungary","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,1.51,, +"ISL","Iceland","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,6.51,"E","Estimated value" +"IRL","Ireland","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,1.85,, +"ITA","Italy","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,1.97,, +"JPN","Japan","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,13.41,"E","Estimated value" +"KOR","Korea","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,10.79,"E","Estimated value" +"LUX","Luxembourg","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,1.86,, +"MEX","Mexico","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,18.17,, +"NLD","Netherlands","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,0.12,, +"NZL","New Zealand","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,7.47,, +"NOR","Norway","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,1.22,, +"POL","Poland","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,2.93,, +"PRT","Portugal","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,6.06,, +"SVK","Slovak Republic","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,3.12,, +"ESP","Spain","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,3.3,, +"SWE","Sweden","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,0.5,, +"CHE","Switzerland","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,3.37,"E","Estimated value" +"TUR","Turkey","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,30.58,, +"GBR","United Kingdom","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,6.43,, +"USA","United States","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,6.74,, +"BRA","Brazil","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,7.34,, +"CHL","Chile","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,9.29,, +"EST","Estonia","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,2.15,, +"ISR","Israel","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,7.52,, +"RUS","Russia","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,0.07,, +"SVN","Slovenia","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,3.4,, +"OECD","OECD - Total","WL_EWLH","Employees working very long hours","L","Value","WMN","Women","PC","Percentage","0","units",,,7.15,, +"AUS","Australia","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.41,, +"AUT","Austria","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.46,, +"BEL","Belgium","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,15.71,, +"CAN","Canada","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.25,, +"CZE","Czech Republic","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.98,"E","Estimated value" +"DNK","Denmark","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,16.06,, +"FIN","Finland","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.89,, +"FRA","France","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,15.33,, +"DEU","Germany","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,15.31,, +"GRC","Greece","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.91,"E","Estimated value" +"HUN","Hungary","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,15.04,"E","Estimated value" +"ISL","Iceland","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.61,"E","Estimated value" +"IRL","Ireland","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,15.19,"E","Estimated value" +"ITA","Italy","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.98,, +"JPN","Japan","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.93,, +"KOR","Korea","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.63,, +"LUX","Luxembourg","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,15.12,"E","Estimated value" +"MEX","Mexico","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,13.89,"E","Estimated value" +"NLD","Netherlands","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,15.44,"E","Estimated value" +"NZL","New Zealand","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.87,, +"NOR","Norway","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,15.56,, +"POL","Poland","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.2,, +"PRT","Portugal","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.95,"E","Estimated value" +"SVK","Slovak Republic","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.99,"E","Estimated value" +"ESP","Spain","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,16.06,, +"SWE","Sweden","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,15.11,, +"CHE","Switzerland","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.98,"E","Estimated value" +"TUR","Turkey","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,13.42,"E","Estimated value" +"GBR","United Kingdom","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.83,, +"USA","United States","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.27,, +"BRA","Brazil","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.97,"E","Estimated value" +"CHL","Chile","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.41,"E","Estimated value" +"EST","Estonia","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.9,, +"ISR","Israel","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.48,"E","Estimated value" +"RUS","Russia","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.97,"E","Estimated value" +"SVN","Slovenia","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.62,, +"OECD","OECD - Total","WL_TNOW","Time devoted to leisure and personal care","L","Value","TOT","Total","HOUR","Hours","0","units",,,14.97,, +"AUS","Australia","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,14.43,, +"AUT","Austria","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,14.6,, +"BEL","Belgium","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.82,, +"CAN","Canada","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,14.33,, +"CZE","Czech Republic","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.13,"E","Estimated value" +"DNK","Denmark","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,16.06,, +"FIN","Finland","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.04,"E","Estimated value" +"FRA","France","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.55,, +"DEU","Germany","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.36,, +"GRC","Greece","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.07,"E","Estimated value" +"HUN","Hungary","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.19,"E","Estimated value" +"ISL","Iceland","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,14.77,"E","Estimated value" +"IRL","Ireland","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.33,"E","Estimated value" +"ITA","Italy","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.32,, +"JPN","Japan","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,14.98,, +"KOR","Korea","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,14.97,, +"LUX","Luxembourg","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.27,"E","Estimated value" +"MEX","Mexico","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,14.08,"E","Estimated value" +"NLD","Netherlands","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.57,"E","Estimated value" +"NZL","New Zealand","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,14.83,, +"NOR","Norway","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.5,, +"POL","Poland","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,14.37,, +"PRT","Portugal","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.1,"E","Estimated value" +"SVK","Slovak Republic","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.13,"E","Estimated value" +"ESP","Spain","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,16.41,, +"SWE","Sweden","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.01,, +"CHE","Switzerland","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.13,"E","Estimated value" +"TUR","Turkey","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,13.61,"E","Estimated value" +"GBR","United Kingdom","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15,, +"USA","United States","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,14.39,, +"BRA","Brazil","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.12,"E","Estimated value" +"CHL","Chile","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,14.57,"E","Estimated value" +"EST","Estonia","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.33,, +"ISR","Israel","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,14.65,"E","Estimated value" +"RUS","Russia","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.12,"E","Estimated value" +"SVN","Slovenia","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.08,, +"OECD","OECD - Total","WL_TNOW","Time devoted to leisure and personal care","L","Value","MN","Men","HOUR","Hours","0","units",,,15.12,, +"AUS","Australia","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.37,, +"AUT","Austria","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.15,, +"BEL","Belgium","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,15.47,, +"CAN","Canada","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.15,, +"CZE","Czech Republic","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.76,"E","Estimated value" +"DNK","Denmark","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,16.06,, +"FIN","Finland","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.66,"E","Estimated value" +"FRA","France","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.9,, +"DEU","Germany","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,15.31,, +"GRC","Greece","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.69,"E","Estimated value" +"HUN","Hungary","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.82,"E","Estimated value" +"ISL","Iceland","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.37,"E","Estimated value" +"IRL","Ireland","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.97,"E","Estimated value" +"ITA","Italy","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.32,, +"JPN","Japan","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.88,, +"KOR","Korea","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.07,, +"LUX","Luxembourg","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.9,"E","Estimated value" +"MEX","Mexico","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,13.63,"E","Estimated value" +"NLD","Netherlands","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,15.23,"E","Estimated value" +"NZL","New Zealand","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.93,, +"NOR","Norway","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,15.67,, +"POL","Poland","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,13.83,, +"PRT","Portugal","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.72,"E","Estimated value" +"SVK","Slovak Republic","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.76,"E","Estimated value" +"ESP","Spain","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,15.52,, +"SWE","Sweden","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,15.3,, +"CHE","Switzerland","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.76,"E","Estimated value" +"TUR","Turkey","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,13.13,"E","Estimated value" +"GBR","United Kingdom","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.6,, +"USA","United States","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.12,, +"BRA","Brazil","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.75,"E","Estimated value" +"CHL","Chile","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.16,"E","Estimated value" +"EST","Estonia","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.43,, +"ISR","Israel","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.24,"E","Estimated value" +"RUS","Russia","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.75,"E","Estimated value" +"SVN","Slovenia","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.12,, +"OECD","OECD - Total","WL_TNOW","Time devoted to leisure and personal care","L","Value","WMN","Women","HOUR","Hours","0","units",,,14.74,, diff --git a/Readme.md b/Readme.md new file mode 100644 index 0000000..c1750a7 --- /dev/null +++ b/Readme.md @@ -0,0 +1,13 @@ +# Introduction + +# Sillabus + +# Introduction to python + +# Landscape to machine learning + +# Linear Regressor + +# Logistic Regressor + +# Artificial Neural Network