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Paid Maternity Leave
Raw
.block
height: 700
border: no
license: gpl-3.0
Raw
README.md

Circle area proportional to # of weeks of paid maternity leave. The smallest pink circles are 0 weeks, largest green circles are ~166 weeks.

OECD paid leave data provided in csv format by Debby Oh.

Raw
average-prices.csv
Name Series ID Jan 1984 Feb 1984 Mar 1984 Apr 1984 May 1984 Jun 1984 Jul 1984 Aug 1984 Sep 1984 Oct 1984 Nov 1984 Dec 1984 Annual 1984 Jan 1985 Feb 1985 Mar 1985 Apr 1985 May 1985 Jun 1985 Jul 1985 Aug 1985 Sep 1985 Oct 1985 Nov 1985 Dec 1985 Annual 1985 Jan 1986 Feb 1986 Mar 1986 Apr 1986 May 1986 Jun 1986 Jul 1986 Aug 1986 Sep 1986 Oct 1986 Nov 1986 Dec 1986 Annual 1986 Jan 1987 Feb 1987 Mar 1987 Apr 1987 May 1987 Jun 1987 Jul 1987 Aug 1987 Sep 1987 Oct 1987 Nov 1987 Dec 1987 Annual 1987 Jan 1988 Feb 1988 Mar 1988 Apr 1988 May 1988 Jun 1988 Jul 1988 Aug 1988 Sep 1988 Oct 1988 Nov 1988 Dec 1988 Annual 1988 Jan 1989 Feb 1989 Mar 1989 Apr 1989 May 1989 Jun 1989 Jul 1989 Aug 1989 Sep 1989 Oct 1989 Nov 1989 Dec 1989 Annual 1989 Jan 1990 Feb 1990 Mar 1990 Apr 1990 May 1990 Jun 1990 Jul 1990 Aug 1990 Sep 1990 Oct 1990 Nov 1990 Dec 1990 Annual 1990 Jan 1991 Feb 1991 Mar 1991 Apr 1991 May 1991 Jun 1991 Jul 1991 Aug 1991 Sep 1991 Oct 1991 Nov 1991 Dec 1991 Annual 1991 Jan 1992 Feb 1992 Mar 1992 Apr 1992 May 1992 Jun 1992 Jul 1992 Aug 1992 Sep 1992 Oct 1992 Nov 1992 Dec 1992 Annual 1992 Jan 1993 Feb 1993 Mar 1993 Apr 1993 May 1993 Jun 1993 Jul 1993 Aug 1993 Sep 1993 Oct 1993 Nov 1993 Dec 1993 Annual 1993 Jan 1994 Feb 1994 Mar 1994 Apr 1994 May 1994 Jun 1994 Jul 1994 Aug 1994 Sep 1994 Oct 1994 Nov 1994 Dec 1994 Annual 1994 Jan 1995 Feb 1995 Mar 1995 Apr 1995 May 1995 Jun 1995 Jul 1995 Aug 1995 Sep 1995 Oct 1995 Nov 1995 Dec 1995 Annual 1995 Jan 1996 Feb 1996 Mar 1996 Apr 1996 May 1996 Jun 1996 Jul 1996 Aug 1996 Sep 1996 Oct 1996 Nov 1996 Dec 1996 Annual 1996 Jan 1997 Feb 1997 Mar 1997 Apr 1997 May 1997 Jun 1997 Jul 1997 Aug 1997 Sep 1997 Oct 1997 Nov 1997 Dec 1997 Annual 1997 Jan 1998 Feb 1998 Mar 1998 Apr 1998 May 1998 Jun 1998 Jul 1998 Aug 1998 Sep 1998 Oct 1998 Nov 1998 Dec 1998 Annual 1998 Jan 1999 Feb 1999 Mar 1999 Apr 1999 May 1999 Jun 1999 Jul 1999 Aug 1999 Sep 1999 Oct 1999 Nov 1999 Dec 1999 Annual 1999 Jan 2000 Feb 2000 Mar 2000 Apr 2000 May 2000 Jun 2000 Jul 2000 Aug 2000 Sep 2000 Oct 2000 Nov 2000 Dec 2000 Annual 2000 Jan 2001 Feb 2001 Mar 2001 Apr 2001 May 2001 Jun 2001 Jul 2001 Aug 2001 Sep 2001 Oct 2001 Nov 2001 Dec 2001 Annual 2001 Jan 2002 Feb 2002 Mar 2002 Apr 2002 May 2002 Jun 2002 Jul 2002 Aug 2002 Sep 2002 Oct 2002 Nov 2002 Dec 2002 Annual 2002 Jan 2003 Feb 2003 Mar 2003 Apr 2003 May 2003 Jun 2003 Jul 2003 Aug 2003 Sep 2003 Oct 2003 Nov 2003 Dec 2003 Annual 2003 Jan 2004 Feb 2004 Mar 2004 Apr 2004 May 2004 Jun 2004 Jul 2004 Aug 2004 Sep 2004 Oct 2004 Nov 2004 Dec 2004 Annual 2004 Jan 2005 Feb 2005 Mar 2005 Apr 2005 May 2005 Jun 2005 Jul 2005 Aug 2005 Sep 2005 Oct 2005 Nov 2005 Dec 2005 Annual 2005 Jan 2006 Feb 2006 Mar 2006 Apr 2006 May 2006 Jun 2006 Jul 2006 Aug 2006 Sep 2006 Oct 2006 Nov 2006 Dec 2006 Annual 2006 Jan 2007 Feb 2007 Mar 2007 Apr 2007 May 2007 Jun 2007 Jul 2007 Aug 2007 Sep 2007 Oct 2007 Nov 2007 Dec 2007 Annual 2007 Jan 2008 Feb 2008 Mar 2008 Apr 2008 May 2008 Jun 2008 Jul 2008 Aug 2008 Sep 2008 Oct 2008 Nov 2008 Dec 2008 Annual 2008 Jan 2009 Feb 2009 Mar 2009 Apr 2009 May 2009 Jun 2009 Jul 2009 Aug 2009 Sep 2009 Oct 2009 Nov 2009 Dec 2009 Annual 2009 Jan 2010 Feb 2010 Mar 2010 Apr 2010 May 2010 Jun 2010 Jul 2010 Aug 2010 Sep 2010 Oct 2010 Nov 2010 Dec 2010 Annual 2010 Jan 2011 Feb 2011 Mar 2011 Apr 2011 May 2011 Jun 2011 Jul 2011 Aug 2011 Sep 2011 Oct 2011 Nov 2011 Dec 2011 Annual 2011 Jan 2012 Feb 2012 Mar 2012 Apr 2012 May 2012 Jun 2012 Jul 2012 Aug 2012 Sep 2012 Oct 2012 Nov 2012 Dec 2012 Annual 2012
Fuel Oil, Per Gallon APU000072511 1.122 1.220 1.158 1.137 1.134 1.127 1.109 1.088 1.081 1.091 1.089 1.085 1.078 1.085 1.081 1.087 1.082 1.063 1.040 1.024 1.068 1.119 1.143 1.126 1.011 0.937 0.875 0.830 0.806 0.751 0.726 0.736 0.733 0.733 0.750 0.817 0.851 0.843 0.843 0.839 0.841 0.842 0.850 0.852 0.863 0.888 0.889 0.890 0.888 0.881 0.876 0.874 0.862 0.832 0.822 0.817 0.790 0.798 0.826 0.883 0.888 0.891 0.904 0.887 0.867 0.857 0.846 0.850 0.887 0.913 0.978 1.259 1.023 0.987 0.968 0.952 0.909 0.880 0.998 1.165 1.330 1.305 1.273 1.235 1.170 1.086 1.016 0.968 0.945 0.926 0.927 0.942 0.966 1.020 1.017 0.985 0.975 0.961 0.951 0.952 0.954 0.947 0.943 0.945 0.969 0.978 0.971 0.969 0.973 0.977 0.977 0.963 0.950 0.937 0.906 0.907 0.924 0.927 0.914 0.919 0.978 0.966 0.935 0.919 0.906 0.898 0.894 0.894 0.890 0.894 0.900 0.913 0.915 0.906 0.900 0.901 0.895 0.885 0.879 0.870 0.873 0.879 0.905 1.007 1.001 1.020 1.065 1.038 0.969 0.935 0.934 0.980 1.063 1.097 1.121 1.136 1.127 1.079 1.046 1.031 1.001 0.957 0.945 0.945 0.956 0.970 0.979 0.966 0.948 0.933 0.915 0.903 0.874 0.853 0.838 0.827 0.834 0.841 0.827 0.834 0.828 0.828 0.853 0.852 0.845 0.857 0.877 0.939 0.976 1.018 1.088 1.189 1.614 1.359 1.286 1.263 1.249 1.250 1.246 1.407 1.453 1.477 1.528 1.509 1.463 1.394 1.367 1.343 1.322 1.257 1.238 1.285 1.227 1.193 1.117 1.123 1.112 1.119 1.158 1.163 1.136 1.127 1.135 1.174 1.203 1.221 1.267 1.396 1.641 1.766 1.491 1.372 1.305 1.279 1.283 1.284 1.297 1.331 1.360 1.508 1.558 1.541 1.519 1.533 1.537 1.536 1.607 1.671 1.882 1.958 1.895 1.859 1.962 2.078 2.120 2.036 2.059 2.173 2.276 2.593 2.626 2.458 2.407 2.418 2.423 2.429 2.526 2.572 2.566 2.597 2.649 2.531 2.396 2.375 2.460 2.368 2.425 2.505 2.555 2.567 2.561 2.621 2.634 2.706 2.808 3.169 3.247 3.337 3.338 3.699 3.875 4.185 4.589 4.649 4.217 3.952 3.544 3.003 2.637 2.509 2.451 2.319 2.354 2.344 2.449 2.452 2.559 2.553 2.603 2.790 2.788 2.967 2.890 2.908 2.981 2.913 2.828 2.800 2.814 2.830 2.936 3.044 3.193 3.415 3.607 3.827 3.975 3.914 3.824 3.689 3.671 3.654 3.642 3.682 3.646 3.697 3.804 3.909 3.858 3.749 3.513 3.492 3.660
Eggs, Large, Per Dozen APU0000708111 1.301 1.324 1.153 1.199 1.054 0.903 0.876 0.860 0.854 0.842 0.823 0.867 0.746 0.784 0.790 0.783 0.745 0.724 0.787 0.789 0.857 0.860 0.872 0.906 0.901 0.866 0.887 0.890 0.820 0.795 0.833 0.913 0.868 0.855 0.897 0.910 0.862 0.823 0.800 0.786 0.763 0.711 0.763 0.730 0.837 0.778 0.805 0.733 0.760 0.718 0.740 0.719 0.678 0.705 0.803 0.909 0.874 0.896 0.839 0.833 0.941 0.890 1.031 0.997 0.956 0.937 0.961 0.983 1.038 1.023 1.080 1.137 1.223 1.041 1.111 1.092 0.940 0.930 0.899 0.954 0.946 1.012 1.018 1.001 1.106 0.987 1.069 1.002 0.908 0.884 0.966 1.024 0.987 0.976 0.950 1.012 0.933 0.881 0.850 0.829 0.836 0.801 0.827 0.809 0.873 0.858 0.897 0.928 0.898 0.895 0.927 0.997 0.895 0.921 0.900 0.929 0.890 0.897 0.917 0.871 0.917 0.903 0.926 0.861 0.801 0.841 0.815 0.895 0.855 0.810 0.857 0.873 0.882 0.863 0.875 0.833 0.819 0.825 0.879 0.984 0.956 0.981 1.037 1.160 1.155 1.091 1.138 1.086 1.021 0.945 1.042 1.072 1.150 1.129 1.139 1.308 1.148 1.132 1.056 1.081 1.002 0.952 0.979 1.061 1.009 1.018 1.090 1.172 1.120 1.073 1.043 1.061 0.960 0.932 0.971 1.053 1.022 1.048 1.077 1.089 1.053 1.078 1.005 0.942 0.900 0.949 0.880 1.020 0.956 0.888 0.920 0.920 0.975 0.962 0.931 0.939 0.852 0.838 0.868 0.893 0.920 0.923 0.902 0.959 1.011 0.943 0.886 1.028 0.881 0.920 0.862 0.929 0.916 0.916 0.935 0.925 0.973 0.996 1.003 1.047 0.997 0.975 0.990 1.053 1.055 1.039 1.080 1.176 1.175 1.189 1.209 1.131 1.009 1.199 1.150 1.277 1.257 1.330 1.448 1.559 1.573 1.583 1.625 1.562 1.372 1.311 1.253 1.277 1.145 1.089 1.085 1.199 1.211 1.284 1.132 1.164 1.185 1.139 1.165 1.166 1.279 1.264 1.279 1.350 1.449 1.328 1.302 1.283 1.206 1.242 1.213 1.244 1.254 1.257 1.354 1.543 1.549 1.746 1.634 1.616 1.504 1.373 1.502 1.634 1.825 1.771 1.862 2.099 2.175 2.168 2.203 2.069 1.930 1.920 2.011 1.854 1.978 1.858 1.838 1.834 1.850 1.795 1.693 1.774 1.501 1.529 1.495 1.632 1.627 1.595 1.705 1.772 1.789 1.872 1.822 1.779 1.523 1.494 1.441 1.519 1.753 1.456 1.675 1.793 1.806 1.708 1.732 1.727 1.692 1.683 1.647 1.711 1.947 1.871 1.836 1.874 1.939 1.798 1.774 1.829 1.691 1.670 1.648 1.884
Milk, fresh, whole, fortied, Per Gallon APU0000709112 2.477 2.482 2.459 2.473 2.493 2.518 2.546 2.541 2.539 2.537 2.532 2.599 2.649 2.666 2.666 2.730 2.746 2.727 2.677 2.632 2.632 2.606 2.608 2.587 2.557 2.551 2.533 2.635 2.678 2.672 2.632 2.653 2.658 2.668 2.666 2.622 2.628 2.717 2.757 2.785 2.800 2.859 2.940 3.004 3.003 2.707 2.716 2.704 2.706 2.719 2.794 2.964 2.981 2.875 2.785 2.777 2.748 2.773 2.782 2.763 2.781 2.807 2.809 2.805 2.753 2.785 2.852 2.847 2.760 2.845 2.893 2.911 2.933 2.890 2.941 2.954 2.890 2.895 2.812 2.807 2.816 2.779 2.782 2.768 2.747 2.720 2.728 2.727 2.719 2.682 2.686 2.689 2.656 2.674 2.685 2.676 2.708 2.666 2.904 2.905 2.937 2.947 2.879 2.814 2.786 2.906 3.374 3.574 3.479 3.297 3.149 3.161 3.219 3.233 3.304 3.176 3.226 3.225 3.207 3.122 3.090 3.136 3.133 3.171 3.211 3.241 3.197 3.224 3.161 3.123 3.066 3.001 3.083 3.019 3.049 3.064 2.985 3.004 3.067 3.083 3.072 3.135 3.259 3.427 3.736 3.807 3.841 3.838 3.904 3.870 3.871 3.869 3.781 3.799 3.760 3.773 3.961 3.886 3.773 3.656 3.734 3.681 3.575 3.319 3.116 3.084 3.068 3.009 2.992 2.979 2.981 3.046 3.034 3.105 3.236 3.203 3.188 3.140 3.178 3.297 3.313 3.303 3.278 3.321 3.327 3.318 3.301 3.357 3.503 3.597 3.653 3.622 3.654 3.713 3.715 3.622 3.557 3.565 3.583 3.520 3.499 3.474 3.427 3.396 3.428 3.474
Red Delicious Apples APU0000711111 0.579 0.608 0.640 0.644 0.645 0.682 0.712 0.732 0.717 0.635 0.651 0.636 0.654 0.676 0.677 0.695 0.710 0.723 0.721 0.705 0.671 0.639 0.665 0.675 0.689 0.727 0.720 0.728 0.770 0.830 0.859 1.015 0.925 0.691 0.665 0.662 0.741 0.750 0.783 0.862 0.884 0.815 0.729 0.618 0.546 0.547 0.571 0.636 0.635 0.643 0.643 0.689 0.797 1.006 0.957 0.768 0.704 0.706 0.729 0.749 0.741 0.697 0.697 0.692 0.682 0.740 0.719 0.649 0.590 0.573 0.601 0.632 0.652 0.650 0.653 0.697 0.750 0.832 0.877 0.765 0.741 0.772 0.810 0.838 0.843 0.860 0.892 0.936 0.956 0.964 0.974 0.846 0.839 0.864 0.876 0.886 0.899 0.913 0.925 0.962 0.991 1.015 0.933 0.765 0.753 0.764 0.810 0.817 0.802 0.802 0.815 0.835 0.854 0.904 0.939 0.850 0.798 0.778 0.789 0.810 0.804 0.803 0.806 0.822 0.848 0.881 0.874 0.745 0.735 0.722 0.765 0.789 0.793 0.784 0.813 0.833 0.864 0.901 0.923 0.863 0.853 0.834 0.877 0.877 0.894 0.915 0.921 0.954 0.976 0.998 1.006 0.949 0.907 0.886 0.907 0.912 0.914 0.895 0.912 0.914 0.918 0.935 0.933 0.881 0.864 0.897 0.922 0.960 0.962 0.949 0.974 0.955 1.000 0.990 0.971 0.902 0.878 0.854 0.860 0.870 0.852 0.870 0.881 0.893 0.905 0.921 0.972 0.919 0.902 0.918 0.952 0.974 0.960 0.957 0.927 0.918 0.940 0.928 0.922 0.899 0.833 0.816 0.808 0.830 0.845 0.834 0.848 0.890 0.892 0.898 0.874 0.894 0.915 0.893 0.877 0.892 0.915 0.910 0.921 0.938 0.968 0.977 1.011 1.001 0.980 0.985 0.977 0.968 0.948 0.972 0.992 0.992 1.006 1.016 1.023 0.936 0.970 0.957 1.019 1.050 1.050 1.040 1.065 1.076 1.099 1.104 1.085 0.992 0.985 0.950 0.966 0.974 0.920 0.869 0.915 0.974 0.965 0.977 0.967 0.940 0.955 0.971 0.963 0.977 0.935 0.958 1.021 1.053 1.146 1.235 1.256 1.138 1.089 1.027 1.034 1.072 1.068 1.104 1.112 1.130 1.184 1.194 1.178 1.083 1.103 1.121 1.161 1.176 1.209 1.205 1.254 1.362 1.452 1.580 1.584 1.417 1.259 1.179 1.233 1.191 1.195 1.202 1.147 1.183 1.193 1.217 1.212 1.129 1.163 1.114 1.141 1.153 1.173 1.200 1.259 1.262 1.290 1.305 1.259 1.180 1.225 1.196 1.241 1.311 1.283 1.345 1.306 1.317 1.374 1.529 1.505 1.409 1.318 1.266 1.272 1.282 1.284 1.257 1.294 1.377 1.435 1.504
Navel Oranges APU0000711311 0.368 0.349 0.364 0.371 0.417 0.572 0.523 0.526 0.525 0.505 0.528 0.614 0.499 0.483 0.452 0.451 0.463 0.499 0.519 0.498 0.499 0.491 0.529 0.678 0.519 0.501 0.496 0.496 0.504 0.599 0.562 0.521 0.464 0.471 0.511 0.534 0.585 0.528 0.501 0.580 0.570 0.560 0.578 0.621 0.585 0.563 0.823 0.930 0.731 0.652 0.643 0.616 0.563 0.537 0.573 0.571 0.516 0.514 0.506 0.506 0.521 0.549 0.694 0.556 0.505 0.496 0.520 0.549 0.618 0.578 0.552 0.575 0.585 0.571 0.606 0.650 0.742 0.643 0.561 0.559 0.565 0.620 0.716 0.707 0.593 0.555 0.554 0.546 0.598 0.706 0.642 0.583 0.525 0.507 0.505 0.571 0.672 0.608 0.830 0.889 0.869 0.944 0.884 0.641 0.607 0.586 0.572 0.573 0.638 0.699 0.725 0.624 0.638 0.660 0.646 0.735 0.793 0.867 0.713 0.715 0.759 0.710 0.751 0.849 1.163 0.998 0.742 0.713 0.711 0.728 0.742 0.800 0.875 1.141 0.971 0.862 0.793 0.725 0.730 0.744 0.770 0.878 1.142 1.080 0.865 0.838 0.802 0.783 0.816 0.899 1.012 1.363 1.388 1.172 0.885 0.837 0.915 0.888 0.876 0.990 1.119 1.270 1.483 1.423 1.200 0.958 1.092 1.375 1.301 1.243 1.268 1.321 1.500 1.503 1.542 1.079 0.905 0.905 0.887 0.898 0.931 1.008 1.136 1.291 1.452 1.471 1.428 1.055 0.934 0.896 0.912 0.889 0.910 0.963 1.060 1.191 1.222 1.255 1.262 1.113 0.932 0.899 0.870 0.858 0.871 0.952 1.096 1.149 1.242 1.302 1.281 1.200 1.021 1.052 0.989 0.957 0.926 0.916 1.014 1.078 1.268 1.438 1.386 1.142 0.983 0.929 0.852 0.850 0.910 0.968 1.032 1.127 1.283
Bananas APU0000711211 0.344 0.373 0.373 0.389 0.354 0.391 0.386 0.362 0.350 0.341 0.333 0.317 0.350 0.378 0.394 0.422 0.392 0.399 0.348 0.361 0.376 0.346 0.316 0.321 0.337 0.378 0.402 0.464 0.461 0.376 0.371 0.369 0.384 0.372 0.371 0.333 0.376 0.381 0.357 0.390 0.350 0.367 0.363 0.346 0.343 0.375 0.374 0.415 0.413 0.423 0.422 0.501 0.433 0.397 0.389 0.421 0.423 0.407 0.394 0.415 0.450 0.523 0.522 0.479 0.456 0.434 0.428 0.432 0.435 0.416 0.429 0.492 0.500 0.481 0.462 0.447 0.529 0.463 0.465 0.432 0.429 0.430 0.438 0.485 0.577 0.547 0.584 0.532 0.516 0.416 0.432 0.395 0.431 0.419 0.428 0.493 0.517 0.484 0.445 0.463 0.431 0.509 0.459 0.442 0.422 0.404 0.426 0.475 0.475 0.483 0.472 0.446 0.448 0.422 0.395 0.405 0.404 0.414 0.440 0.514 0.500 0.469 0.469 0.447 0.452 0.480 0.453 0.430 0.434 0.458 0.503 0.496 0.508 0.485 0.483 0.490 0.522 0.512 0.490 0.471 0.462 0.454 0.463 0.501 0.539 0.505 0.512 0.498 0.498 0.478 0.458 0.465 0.477 0.481 0.497 0.518 0.532 0.512 0.484 0.488 0.487 0.475 0.458 0.459 0.468 0.461 0.473 0.489 0.475 0.511 0.510 0.507 0.530 0.489 0.476 0.470 0.487 0.510 0.489 0.509 0.506 0.482 0.492 0.502 0.494 0.490 0.481 0.471 0.480 0.494 0.490 0.528 0.517 0.510 0.509 0.506 0.512 0.490 0.488 0.496 0.479 0.487 0.500 0.496 0.510 0.492 0.509 0.506 0.523 0.519 0.508 0.503 0.509 0.505 0.509 0.504 0.519 0.504 0.515 0.512 0.517 0.499 0.498 0.504 0.505 0.504 0.526 0.508 0.513 0.517 0.505 0.521 0.514 0.514 0.494 0.490 0.498 0.504 0.512 0.504 0.500 0.505 0.491 0.498 0.510 0.507 0.488 0.485 0.469 0.474 0.485 0.502 0.507 0.503 0.497 0.493 0.494 0.487 0.485 0.491 0.480 0.482 0.490 0.508 0.508 0.508 0.514 0.511 0.508 0.492 0.479 0.489 0.498 0.499 0.505 0.507 0.510 0.517 0.503 0.512 0.509 0.506 0.505 0.508 0.515 0.525 0.521 0.540 0.597 0.627 0.630 0.633 0.627 0.634 0.631 0.629 0.626 0.617 0.629 0.641 0.634 0.629 0.622 0.617 0.616 0.611 0.605 0.598 0.561 0.571 0.586 0.587 0.575 0.580 0.571 0.577 0.583 0.576 0.573 0.580 0.581 0.587 0.596 0.625 0.621 0.621 0.617 0.614 0.611 0.606 0.607 0.607 0.598 0.599 0.604 0.603 0.607 0.603 0.599 0.605 0.604 0.595
Tomatoes APU0000712311 0.854 0.998 0.973 0.839 0.766 0.778 0.692 0.901 0.741 0.744 0.724 0.678 0.697 0.840 0.945 1.194 0.681 0.624 0.665 0.642 0.616 0.673 0.808 0.953 1.104 0.752 0.773 0.805 0.879 0.802 0.737 0.686 0.674 0.811 0.919 0.943 0.760 0.820 0.788 0.883 0.816 0.664 0.735 0.777 0.992 0.996 0.871 0.856 0.744 0.902 0.859 0.765 0.798 0.819 0.874 0.853 0.856 0.812 0.797 1.051 0.891 0.970 1.323 0.873 0.847 0.797 0.777 0.836 0.884 0.898 1.735 2.361 1.765 0.732 0.697 0.792 0.777 0.765 0.773 0.846 0.862 0.858 0.912 0.840 0.948 1.210 1.457 1.672 1.166 0.795 0.759 0.714 0.813 0.793 0.936 1.430 1.729 1.623 0.828 0.747 0.801 0.802 0.765 1.001 1.242 1.227 1.141 1.098 0.880 1.016 1.553 1.278 0.824 0.856 1.092 0.944 1.010 1.313 1.604 1.112 0.914 0.951 0.949 1.047 0.990 0.969 0.958 0.979 1.129 1.428 1.323 1.300 1.081 1.299 0.985 1.102 1.252 0.938 0.950 1.041 1.097 1.507 1.103 1.084 1.467 1.867 1.379 1.127 1.031 1.006 0.980 1.084 1.182 1.210 1.213 1.314 1.654 1.348 1.175 1.300 1.141 1.130 1.091 1.162 1.370 1.617 1.452 1.356 1.515 1.398 1.472 1.393 1.515 1.312 1.241 1.573 1.689 1.798 1.904 1.476 1.395 1.298 1.284 1.304 1.287 1.232 1.272 1.279 1.300 1.405 1.443 1.286 1.364 1.487 1.366 1.318 1.282 1.262 1.319 1.387 1.503 1.567 1.414 1.313 1.336 1.433 1.243 1.356 1.257 1.185 1.168 1.267 1.468 1.404 1.451 1.298 1.292 1.319 1.332 1.299 1.243 1.181 1.158 1.236 1.430 1.655 1.711 1.565 1.619 1.555 1.401 1.398 1.460 1.513 1.438 1.436 1.480 1.533 1.472 1.510 1.529 1.519 1.510 1.331 1.253 1.312 1.321 1.715 2.337 2.467 1.660 1.428 1.548 1.710 1.911 1.655 1.607 1.416 1.429 1.547 1.574 1.848 2.162 1.910 1.649 1.573 1.543 1.457 1.479 1.488 1.908 2.188 1.784 1.639 1.621 1.644 1.555 1.630 1.685 1.510 1.486 1.485 1.496 1.649 1.851 2.147 2.032 1.735 1.835 1.773 1.675 1.814 1.713 1.694 1.591 1.611 1.722 1.734 1.661 1.556 1.511 1.591 1.584 1.604 1.618 1.528 1.538 1.595 1.726 1.961 1.837 1.765 2.007 2.132 1.918 1.586 1.544 1.405 1.503 1.502 1.519 1.591 1.590 1.832 2.086 2.270 1.794 1.559 1.442 1.420 1.503 1.465 1.516 1.531 1.542 1.433 1.452 1.388 1.336 1.492 1.506 1.440
Orange Juice, Frozen APU0000713111 1.408 1.521 1.565 1.630 1.670 1.660 1.664 1.687 1.651 1.674 1.664 1.646 1.685 1.694 1.732 1.751 1.771 1.751 1.758 1.778 1.766 1.766 1.773 1.818 1.756 1.651 1.635 1.579 1.535 1.501 1.488 1.493 1.458 1.449 1.482 1.467 1.512 1.499 1.476 1.490 1.550 1.542 1.531 1.557 1.556 1.544 1.514 1.591 1.638 1.735 1.736 1.866 1.879 1.902 1.862 1.861 1.835 1.854 1.881 1.820 1.868 1.834 1.834 1.837 1.867 1.854 1.857 1.900 1.920 1.893 1.835 1.797 1.817 1.980 2.150 2.214 2.241 2.276 2.289 2.227 2.262 2.210 2.102 2.021 2.005 1.971 1.902 1.909 1.877 1.848 1.807 1.767 1.756 1.718 1.771 1.739 1.879 1.963 1.922 1.976 1.959 1.933 1.936 1.906 1.877 1.830 1.774 1.700 1.677 1.753 1.619 1.627 1.572 1.587 1.558 1.610 1.626 1.615 1.643 1.672 1.674 1.648 1.665 1.662 1.600 1.598 1.640 1.578 1.594 1.574 1.550 1.549 1.583 1.609 1.629 1.632 1.632 1.620 1.639 1.642 1.607 1.583 1.550 1.573 1.577 1.625 1.609 1.657 1.704 1.743 1.774 1.765 1.733 1.761 1.747 1.735 1.737 1.768 1.747 1.727 1.736 1.752 1.770 1.755 1.695 1.711 1.666 1.670 1.601 1.568 1.587 1.634 1.589 1.633 1.655 1.668 1.599 1.655 1.654 1.679 1.753 1.780 1.741 1.779 1.764 1.758 1.813 1.825 1.825 1.784 1.841 1.822 1.823 1.811 1.807 1.819 1.802 1.800 1.875 1.882 1.837 1.863 1.884 1.878 1.863 1.909 1.808 1.872 1.886 1.926 1.937 1.875 1.870 1.904 1.912 1.925 1.876 1.937 1.870 1.889 1.824 1.890 1.842 1.800 1.840 1.795 1.776 1.806 1.848 1.875 1.809 1.783 1.727 1.822 1.831 1.882 1.896 1.975 1.905 1.834 1.957 1.873 1.829 1.861 1.818 1.912 1.878 1.873 1.815 1.933 1.922 1.961 1.872 1.835 1.846 1.918 1.840 1.809 1.834 1.852 1.782 1.806 1.784 1.780 1.853 1.870 1.895 1.911 1.912 1.886 1.940 1.989 2.013 2.015 2.160 2.232 2.314 2.414 2.463 2.517 2.456 2.512 2.538 2.568 2.590 2.574 2.561 2.528 2.544 2.529 2.543 2.559 2.534 2.528 2.503 2.522 2.544 2.509 2.580 2.558 2.570 2.611 2.634 2.623 2.601 2.612 2.579 2.489 2.522 2.530 2.495 2.530 2.501 2.481 2.515 2.450 2.488 2.408 2.464 2.514 2.463 2.461 2.403 2.455 2.461 2.434 2.459 2.499 2.631 2.634 2.734 2.730 2.720 2.749 2.788 2.755 2.753 2.769 2.782 2.781 2.642 2.639 2.643 2.625
Coffee, Ground Roast, All Sizes APU0000717311 2.495 2.546 2.546 2.549 2.567 2.598 2.609 2.606 2.617 2.616 2.594 2.593 2.585 2.594 2.621 2.603 2.606 2.614 2.590 2.564 2.563 2.573 2.549 2.505 2.737 3.554 3.740 3.706 3.655 3.646 3.594 3.462 3.315 3.269 3.268 3.247 3.192 3.087 2.960 2.865 2.777 2.737 2.709 2.636 2.654 2.670 2.581 2.553 2.635 2.665 2.634 2.699 2.729 2.735 2.784 2.834 2.840 2.855 2.892 2.925 2.964 3.052 3.039 3.115 3.163 3.167 3.225 3.171 3.098 3.038 2.903 2.937 2.917 2.965 2.891 2.885 2.938 2.977 3.054 3.027 3.025 3.030 2.945 2.941 2.945 2.971 2.894 2.924 2.879 2.866 2.805 2.724 2.692 2.706 2.673 2.625 2.668 2.688 2.631 2.612 2.660 2.625 2.645 2.613 2.537 2.492 2.391 2.364 2.352 2.452 2.462 2.477 2.514 2.533 2.548 2.500 2.493 2.415 2.433 2.480 2.530 2.529 2.515 2.516 2.535 2.598 3.341 4.480 4.458 4.450 4.482 4.382 4.398 4.234 4.108 4.084 4.067 4.059 4.027 4.051 3.996 3.865 3.814 3.752 3.577 3.590 3.550 3.527 3.444 3.438 3.380 3.390 3.333 3.344 3.283 3.307 3.300 3.316 3.512 3.894 4.109 4.428 4.628 4.669 4.617 4.392 4.303 4.161 4.025 3.973 4.033 3.959 3.878 3.786 3.771 3.704 3.620 3.503 3.482 3.446 3.435 3.428 3.476 3.466 3.495 3.421 3.420 3.428 3.393 3.482 3.337 3.347 3.540 3.677 3.633 3.584 3.531 3.431 3.446 3.444 3.339 3.317 3.243 3.212 3.224 3.217 3.205 3.128 3.097 3.156 3.097 3.046 3.025 3.015 2.988 2.913 2.936 2.946 2.859 2.976 3.011 2.938 2.977 2.929 2.921 2.872 2.882 2.838 2.999 2.924 2.933 3.008 2.937 2.931 2.944 2.921 2.919 2.825 2.779 2.875 2.892 2.856 2.932 2.908 2.831 2.750 2.878 2.878 2.874 2.840 2.778 2.776 3.049 2.940 3.009 3.240 3.329 3.416 3.334 3.482 3.376 3.447 3.293 3.235 3.232 3.174 3.301 3.292 3.349 3.158 3.154 3.196 3.173 3.138 3.158 3.113 3.288 3.456 3.475 3.437 3.308 3.407 3.529 3.497 3.607 3.685 3.669 3.811 3.736 3.565 3.641 3.664 3.697 3.857 3.935 4.174 4.175 4.467 4.146 4.417 4.218 4.642 5.101 5.129 5.234 5.547 5.766 5.651 5.511 5.636 5.437 5.497 5.382 5.558 5.513 5.596 5.582 5.723 5.693
Utility (piped) gas per therm APU000072620 0.638 0.641 0.642 0.643 0.660 0.658 0.659 0.661 0.648 0.646 0.636 0.635 0.636 0.630 0.638 0.637 0.652 0.648 0.642 0.620 0.625 0.613 0.609 0.610 0.599 0.601 0.597 0.627 0.628 0.601 0.611 0.591 0.599 0.553 0.565 0.578 0.579 0.574 0.571 0.597 0.597 0.578 0.588 0.581 0.578 0.559 0.558 0.570 0.572 0.568 0.566 0.599 0.591 0.592 0.587 0.589 0.596 0.578 0.577 0.587 0.589 0.586 0.584 0.597 0.594 0.590 0.591 0.586 0.596 0.586 0.592 0.599 0.603 0.596 0.570 0.581 0.588 0.576 0.578 0.585 0.591 0.596 0.605 0.617 0.608 0.599 0.587 0.598 0.586 0.589 0.584 0.589 0.598 0.604 0.606 0.611 0.600 0.567 0.575 0.580 0.582 0.586 0.582 0.604 0.614 0.623 0.623 0.627 0.619 0.616 0.616 0.628 0.636 0.635 0.638 0.646 0.648 0.645 0.662 0.662 0.661 0.666 0.663 0.650 0.642 0.638 0.640 0.639 0.636 0.639 0.647 0.645 0.640 0.629 0.629 0.617 0.608 0.608 0.602 0.605 0.602 0.600 0.625 0.632 0.637 0.616 0.623 0.647 0.647 0.648 0.648 0.646 0.647 0.671 0.690 0.727 0.730 0.692 0.664 0.651 0.664 0.669 0.661 0.677 0.688 0.717 0.708 0.705 0.688 0.686 0.684 0.688 0.673 0.671 0.668 0.668 0.671 0.689 0.697 0.687 0.676 0.663 0.658 0.662 0.667 0.675 0.684 0.707 0.704 0.730 0.710 0.712 0.714 0.712 0.721 0.730 0.781 0.813 0.808 0.851 0.903 0.919 0.977 1.150 1.120 1.078 1.050 1.020 0.937 0.888 0.854 0.811 0.763 0.799 0.787 0.789 0.757 0.755 0.773 0.772 0.771 0.772 0.768 0.776 0.801 0.843 0.847 0.881 0.902 1.028 0.988 0.966 0.992 0.986 0.969 0.974 0.966 0.978 0.991 1.029 1.021 0.992 0.998 1.006 1.047 1.058 1.063 1.034 1.044 1.145 1.154 1.142 1.111 1.096 1.158 1.152 1.124 1.168 1.189 1.324 1.512 1.548 1.498 1.531 1.402 1.335 1.278 1.263 1.210 1.213 1.220 1.239 1.148 1.252 1.285 1.265 1.267 1.291 1.284 1.288 1.299 1.279 1.226 1.207 1.219 1.273 1.281 1.278 1.310 1.358 1.427 1.505 1.578 1.703 1.596 1.448 1.395 1.372 1.355 1.321 1.268 1.208 1.119 1.051 1.060 1.074 1.058 1.028 1.048 1.110 1.105 1.155 1.161 1.137 1.091 1.080 1.084 1.111 1.102 1.062 1.069 1.059 1.078 1.085 1.095 1.077 1.078 1.068 1.077 1.078 1.079 1.063 1.047 1.044 1.034 1.021 0.986 0.978 0.951 0.907 0.927 0.943 0.960
Raw
cpi-2006.csv
Series ID Jan 2006 Feb 2006 Mar 2006 Apr 2006 May 2006 Jun 2006 Jul 2006 Aug 2006 Sep 2006 Oct 2006 Nov 2006 Dec 2006 Annual 2006 HALF1 2006 HALF2 2006
CUUR0000SA0 198.3 198.7 199.8 201.5 202.5 202.9 203.5 203.9 202.9 201.8 201.5 201.8 201.6 200.6 202.6
CUUR0000AA0 593.9 595.2 598.6 603.5 606.5 607.8 609.6 610.9 607.9 604.6 603.6 604.5 603.9 600.9 606.9
CUUR0000SA0L1E 202.6 203.6 204.9 205.5 205.7 205.9 206.2 206.7 207.2 207.8 207.6 207.3 205.9 204.7 207.1
CUUR0000SAF 194.5 194.4 194.5 194.2 194.7 195.1 195.6 196.0 196.7 197.5 197.2 197.4 195.7 194.6 196.7
CUUR0000SAH 200.0 200.5 201.3 201.7 202.2 203.7 204.7 205.1 205.0 204.4 204.5 204.8 203.2 201.6 204.8
CUUR0000SAA 114.9 116.6 122.0 123.4 122.4 118.9 113.8 116.1 121.7 123.3 121.7 118.6 119.5 119.7 119.2
CUUR0000SAT 175.9 175.8 177.4 184.1 187.6 187.3 189.0 188.5 180.6 174.8 173.9 175.4 180.9 181.4 180.4
CUUR0000SAM 329.5 332.1 333.8 334.7 335.6 336.0 337.0 337.7 338.3 339.3 340.1 340.1 336.2 333.6 338.8
CUUR0000SAM2 342.9 346.1 348.0 348.8 349.7 350.3 351.2 352.1 352.7 354.0 355.6 356.0 350.6 347.6 353.6
CUUR0000SAR 109.9 110.2 110.6 111.1 111.2 111.2 111.3 111.3 111.1 111.2 111.2 110.8 110.9 110.7 111.2
CUUR0000SAE 115.7 115.7 115.6 115.8 115.7 115.9 116.3 117.5 118.4 118.5 118.1 118.0 116.8 115.7 117.8
CUUR0000SAG 318.2 319.1 320.0 320.0 320.2 321.5 321.2 321.7 323.3 324.3 324.3 326.7 321.7 319.8 323.6
CUURA101SA0 215.9 216.4 218.2 220.2 221.6 222.6 223.1 224.1 222.9 221.7 220.9 221.3 220.7 219.2 222.3
Raw
cpi-all.csv
Name Series ID Jan 2000 Feb 2000 Mar 2000 Apr 2000 May 2000 Jun 2000 Jul 2000 Aug 2000 Sep 2000 Oct 2000 Nov 2000 Dec 2000 Annual 2000 HALF1 2000 HALF2 2000 Jan 2001 Feb 2001 Mar 2001 Apr 2001 May 2001 Jun 2001 Jul 2001 Aug 2001 Sep 2001 Oct 2001 Nov 2001 Dec 2001 Annual 2001 HALF1 2001 HALF2 2001 Jan 2002 Feb 2002 Mar 2002 Apr 2002 May 2002 Jun 2002 Jul 2002 Aug 2002 Sep 2002 Oct 2002 Nov 2002 Dec 2002 Annual 2002 HALF1 2002 HALF2 2002 Jan 2003 Feb 2003 Mar 2003 Apr 2003 May 2003 Jun 2003 Jul 2003 Aug 2003 Sep 2003 Oct 2003 Nov 2003 Dec 2003 Annual 2003 HALF1 2003 HALF2 2003 Jan 2004 Feb 2004 Mar 2004 Apr 2004 May 2004 Jun 2004 Jul 2004 Aug 2004 Sep 2004 Oct 2004 Nov 2004 Dec 2004 Annual 2004 HALF1 2004 HALF2 2004 Jan 2005 Feb 2005 Mar 2005 Apr 2005 May 2005 Jun 2005 Jul 2005 Aug 2005 Sep 2005 Oct 2005 Nov 2005 Dec 2005 Annual 2005 HALF1 2005 HALF2 2005 Jan 2006 Feb 2006 Mar 2006 Apr 2006 May 2006 Jun 2006 Jul 2006 Aug 2006 Sep 2006 Oct 2006 Nov 2006 Dec 2006 Annual 2006 HALF1 2006 HALF2 2006 Jan 2007 Feb 2007 Mar 2007 Apr 2007 May 2007 Jun 2007 Jul 2007 Aug 2007 Sep 2007 Oct 2007 Nov 2007 Dec 2007 Annual 2007 HALF1 2007 HALF2 2007 Jan 2008 Feb 2008 Mar 2008 Apr 2008 May 2008 Jun 2008 Jul 2008 Aug 2008 Sep 2008 Oct 2008 Nov 2008 Dec 2008 Annual 2008 HALF1 2008 HALF2 2008 Jan 2009 Feb 2009 Mar 2009 Apr 2009 May 2009 Jun 2009 Jul 2009 Aug 2009 Sep 2009 Oct 2009 Nov 2009 Dec 2009 Annual 2009 HALF1 2009 HALF2 2009 Jan 2010 Feb 2010 Mar 2010 Apr 2010 May 2010 Jun 2010 Jul 2010 Aug 2010 Sep 2010 Oct 2010 Nov 2010 Dec 2010 Annual 2010 HALF1 2010 HALF2 2010 Jan 2011 Feb 2011 Mar 2011 Apr 2011 May 2011 Jun 2011 Jul 2011 Aug 2011 Sep 2011 Oct 2011 Nov 2011 Dec 2011 Annual 2011 HALF1 2011 HALF2 2011 Jan 2012 Feb 2012 Mar 2012 Apr 2012 May 2012 Jun 2012 Jul 2012 Aug 2012 Sep 2012 Oct 2012 Nov 2012 Dec 2012 Annual 2012 HALF1 2012 HALF2 2012 Jan 2013 Feb 2013 Mar 2013 Apr 2013 May 2013 Jun 2013 Jul 2013 Aug 2013 Sep 2013 Oct 2013 Nov 2013 Dec 2013 Annual 2013 HALF1 2013 HALF2 2013 Jan 2014 Feb 2014 Mar 2014 Apr 2014 May 2014 Jun 2014 Jul 2014 Aug 2014 Sep 2014 Oct 2014 Nov 2014 Dec 2014 Annual 2014 HALF1 2014 HALF2 2014 Jan 2015 Feb 2015 Mar 2015 Apr 2015 May 2015 Jun 2015 Jul 2015 Aug 2015 Sep 2015 Oct 2015 Nov 2015 Dec 2015 Annual 2015 HALF1 2015 HALF2 2015 Jan 2016 Feb 2016 Mar 2016 Apr 2016 May 2016 Jun 2016 Jul 2016 Aug 2016 Sep 2016 Oct 2016 Nov 2016 Dec 2016 Annual 2016 HALF1 2016 HALF2 2016
New York-Northern New Jersey-Long Island, NY-NJ-CT-PA CUURA101SA0 179.3 180.5 181.5 181.4 181.4 182.0 182.8 183.1 184.4 184.6 184.6 184.2 182.5 181.0 184.0 184.9 185.3 186.4 186.6 187.3 188.3 187.8 188.1 188.0 187.8 187.8 187.3 187.1 186.5 187.8 188.5 189.9 191.1 191.8 191.4 191.5 192.0 193.1 193.3 193.7 193.4 193.1 191.9 190.7 193.1 194.7 196.2 197.1 196.7 196.8 196.9 197.7 199.1 199.6 200.0 199.4 199.3 197.8 196.4 199.2 199.9 201.1 203.4 204.0 204.4 206.0 205.5 205.7 205.9 207.3 207.2 206.8 204.8 203.1 206.4 208.1 208.9 212.4 212.5 211.4 210.7 212.5 214.1 215.8 216.6 215.3 214.2 212.7 210.7 214.8 215.9 216.4 218.2 220.2 221.6 222.6 223.1 224.1 222.9 221.7 220.9 221.3 220.7 219.2 222.3 221.767 223.066 224.551 225.780 227.146 228.258 228.628 228.326 228.308 228.552 229.504 229.395 226.940 225.095 228.785 229.869 231.020 233.122 233.822 236.151 238.580 240.273 240.550 240.089 238.403 234.498 233.012 235.782 233.761 237.804 233.402 234.663 235.067 235.582 235.975 237.172 237.600 238.282 238.568 238.380 238.777 238.427 236.825 235.310 238.339 238.970 238.862 240.101 240.529 241.075 240.817 241.147 241.569 241.485 241.981 241.960 241.874 240.864 240.059 241.669 242.639 243.832 245.617 246.489 248.073 248.505 249.164 250.058 250.559 250.051 249.317 248.307 247.718 245.859 249.576 249.322 250.285 251.887 252.349 252.652 252.406 252.016 253.472 254.554 254.277 254.285 253.555 252.588 251.483 253.693 254.807 256.234 256.589 255.967 256.270 256.911 257.326 257.659 258.504 257.069 257.377 257.284 256.833 256.130 257.537 259.596 259.019 259.971 259.985 261.225 261.350 261.498 261.075 261.074 260.500 259.382 258.080 260.230 260.191 260.268 258.376 259.240 259.647 259.959 261.066 261.512 261.199 261.347 261.887 261.515 261.009 259.941 260.558 259.967 261.150 260.342 260.875 261.508 262.619 263.312(R) 263.877(R) 263.722(R) 264.160(R) 264.602 262.089(R)
Philadelphia-Wilmington-Atlantic City, PA-NJ-DE-MD CUURA102SA0 174.8 175.8 176.6 177.5 177.9 177.5 176.5 175.4 177.6 179.0 181.2 182.5 182.8 182.9 179.9 181.3 180.5 182.1 182.0 183.1 186.3 188.3 185.8 185.3 184.9 183.3 186.5 186.6 187.2 189.7 191.1 190.3 189.0 188.8 187.5 190.2 191.4 194.8 198.0 199.1 200.2 197.8 196.5 194.0 199.0 200.1 203.3 204.8 206.6 207.5 204.9 204.2 202.1 206.3 209.0 211.6 213.9 216.4 211.6 211.6 212.1 210.7 213.4 213.152 215.270 217.255 218.692 218.929 219.025 216.743 214.753 218.734 220.935 223.622 228.408 228.337 225.113 218.186 224.131 223.536 224.725 220.262 221.686 223.810 226.039 224.787 224.800 223.288 221.450 225.126 226.529 227.432 228.074 228.500 228.543 228.017 227.715 227.072 228.358 230.878 233.143 234.463 236.196 235.440 234.312 233.809 232.290 235.328 235.857 237.782 237.405 239.557 240.537 238.492 238.097 236.756 239.437 240.137 240.345 240.990 242.128 241.141 241.383 240.900 240.282 241.518 242.584 243.694 245.247 245.303 244.948 242.912 244.050 243.519 244.582 242.424 243.717 245.675 244.519 243.697 242.356 243.858 243.609 244.107 243.132 245.300 245.980 245.386(R) 244.286
Chicago-Gary-Kenosha, IL-IN-WI CUURA207SA0 170.2 171.4 172.2 171.9 173.7 176.0 174.6 173.7 174.8 175.4 176.0 175.8 173.8 172.6 175.1 178.1 178.5 177.1 178.4 179.8 179.2 177.7 178.1 179.7 178.1 177.4 177.9 178.3 178.5 178.2 177.9 178.7 179.8 180.9 181.4 182.1 181.2 181.6 182.1 182.8 183.2 182.4 181.2 180.1 182.2 182.7 184.1 184.8 183.4 183.4 184.1 184.1 184.5 186.1 185.8 185.6 185.5 184.5 183.8 185.3 185.4 186.4 186.3 187.2 188.7 189.1 189.2 190.2 190.0 190.8 190.7 189.6 188.6 187.2 190.1 189.9 190.5 191.3 193.2 193.3 194.0 194.2 195.8 198.3 197.9 197.3 196.4 194.3 192.0 196.7 197.5 197.2 197.6 197.7 198.4 199.0 199.3 200.4 199.6 197.5 197.9 197.8 198.3 197.9 198.8 199.401 200.630 202.483 204.019 205.686 206.092 205.561 205.813 206.454 206.696 207.821 207.155 204.818 203.052 206.583 208.757 209.526 211.542 212.662 214.932 215.738 217.459 215.971 215.465 213.363 209.053 205.959 212.536 212.193 212.878 207.616 207.367 207.462 207.886 209.809 211.010 210.906 211.441 211.345 211.708 212.206 211.185 209.995 208.525 211.465 212.104 212.456 212.952 212.929 212.984 212.186 212.535 212.784 213.339 213.332 213.066 213.778 212.870 212.602 213.139 215.155 216.192 217.880 218.762 220.094 220.182 219.277 219.688 220.027 219.592 219.181 218.180 218.684 218.044 219.324 219.585 219.626 222.351 222.416 222.262 222.138 221.611 222.967 223.611 223.227 222.425 221.838 222.005 221.396 222.613 222.251 224.681 224.433 224.522 225.645 225.864 225.375 225.525 225.161 224.422 223.703 222.960 224.545 224.566 224.524 225.027 226.217 228.784 229.848 229.612 230.477 229.633 229.753 229.829 228.987 227.184 226.262 228.468 228.328 228.608 225.852 225.763 227.405 227.704 228.494 228.837 228.588 229.527 228.826 228.600 227.641 226.271 227.792 227.343 228.242 227.977 227.438 227.778 229.197 229.247(R) 230.341(R) 228.454(R) 228.956(R) 230.282 228.663(R)
Washington-Baltimore, DC-MD-VA-WV CUURA311SA0 105.4 107.1 106.7 108.4 108.7 108.5 107.6 106.6 108.6 108.9 109.7 110.1 110.8 111.7 110.9 110.4 109.7 111.1 110.9 111.9 112.8 113.4 114.0 114.0 113.0 112.1 113.9 114.6 115.9 115.7 116.8 117.2 116.7 116.2 115.6 116.9 117.1 118.1 118.9 120.2 120.8 120.9 119.5 118.3 120.7 121.3 122.7 123.6 125.0 126.7 125.4 124.3 122.8 125.8 126.3 126.8 128.8 130.7 130.2 129.3 128.8 127.7 130.0 129.956 131.945 132.982 134.442 134.678 135.151 133.464 132.000 134.927 136.293 138.090 139.649 142.065 142.036 138.547 139.499 138.490 140.509 137.598 138.620 139.311 140.810 140.945 140.718 139.814 138.777 140.850 141.124 141.741 142.025 141.966 142.738 142.915 142.218 141.700 142.736 144.327 146.044 147.554 147.747 147.658 147.565 146.975 146.259 147.691 148.163 150.074 150.155 149.838 151.732 150.646 150.212 149.603 150.822 150.845 152.188 151.908 152.657 153.532 153.160 152.500 151.798 153.203 153.700 154.600 155.198 155.220 155.522 154.926 154.847 154.626 155.069 153.376 154.984 155.880 155.546 156.278 155.820 155.353 154.886 155.820 155.519 156.493 157.770 157.674(R) 157.572 156.770
Los Angeles-Riverside-Orange County, CA CUURA421SA0 167.9 169.3 170.7 170.6 171.1 171.0 171.7 172.2 173.3 173.8 173.5 173.5 171.6 170.1 173.0 174.2 175.4 176.2 176.6 177.5 178.9 178.3 178.4 178.8 178.3 178.1 177.1 177.3 176.5 178.2 178.9 180.1 181.1 182.2 182.6 181.9 182.2 183.0 183.4 183.7 184.0 183.7 182.2 181.1 183.3 185.2 186.5 188.2 187.6 186.4 186.3 186.3 186.9 188.2 187.8 187.1 187.0 187.0 186.7 187.2 188.5 190.1 191.5 191.9 193.3 193.7 193.4 193.1 194.5 196.3 196.9 195.2 193.2 191.5 194.9 195.4 197.4 199.2 201.1 201.5 200.7 201.4 203.1 205.8 206.9 205.6 203.9 201.8 199.2 204.5 206.0 207.5 208.5 210.5 212.4 211.1 211.4 211.9 212.9 211.4 211.1 210.6 210.4 209.3 211.6 212.584 214.760 216.500 217.845 218.596 217.273 217.454 217.330 217.697 218.696 219.943 219.373 217.338 216.260 218.416 220.918 221.431 223.606 224.625 226.651 229.033 229.886 228.484 227.449 226.159 222.229 219.620 225.008 224.377 225.638 220.719 221.439 221.376 221.693 222.522 223.906 224.010 224.507 225.226 225.264 224.317 223.643 223.219 221.943 224.495 224.610 224.620 225.483 225.916 226.438 225.877 225.991 226.373 226.048 226.794 225.941 226.639 225.894 225.491 226.298 228.652 229.729 232.241 233.319 233.367 232.328 231.303 231.833 233.022 233.049 232.731 231.567 231.928 231.606 232.251 233.441 234.537 236.941 236.866 237.032 236.025 235.776 237.222 238.104 240.111 237.675 236.042 236.648 235.807 237.488 238.015 239.753 239.995 239.043 239.346 239.223 238.920 239.219 239.611 239.940 238.677 238.742 239.207 239.229 239.185 239.857 241.059 242.491 242.437 243.362 243.528 243.727 243.556 243.623 243.341 241.753 240.475 242.434 242.122 242.746 239.724 241.297 243.738 243.569 246.093 245.459 247.066 246.328 245.431 245.812 245.711 245.357 244.632 243.313 245.951 247.155 247.113 247.873 248.368 249.554(R) 249.789(R) 249.784(R) 249.700(R) 250.145 248.309(R)
San Francisco-Oakland-San Jose, CA CUURA422SA0 176.5 178.7 179.1 181.7 183.4 184.1 180.2 177.7 182.6 187.9 189.1 190.9 191.0 191.7 190.6 189.9 188.7 191.1 191.3 193.0 193.2 193.5 194.3 193.2 193.0 192.3 193.7 197.7 197.3 196.3 196.3 196.3 195.3 196.4 196.8 196.1 198.1 198.3 199.0 198.7 200.3 199.5 198.8 198.2 199.5 201.2 202.5 201.2 203.0 205.9 203.4 202.7 201.5 203.9 207.1 208.9 209.1 210.7 211.0 210.4 209.2 207.9 210.6 213.688 215.842 216.123 216.240 217.949 218.485 216.048 214.736 217.361 219.612 222.074 225.181 225.411 225.824 218.528 222.767 221.730 223.804 222.166 223.854 225.692 225.801 226.051 224.239 224.395 223.305 225.484 226.145 227.697 228.110 227.954 228.107 227.658 227.469 226.994 227.944 229.981 234.121 233.646 234.608 235.331 234.327 233.390 232.082 234.698 236.880 238.985 239.806 241.170 242.834 239.533 239.650 238.099 241.201 242.677 244.675 245.935 246.072 246.617 245.711 245.023 243.894 246.152 248.615 251.495 253.317 253.354 254.503 252.273 251.985 250.507 253.463 254.910 257.622 259.117 259.917 261.019 260.289 258.572 256.723 260.421 262.600 264.565 266.041 267.853(R) 263.911
Raw
cpi.html
<!doctype html>
<script src="https://d3js.org/d3.v4.min.js"></script>
<style type="text/css">
body {
font-family: sans-serif;
}
text {
font-size: 16px;
fill: #888;
}
path, line {
stroke: #888;
}
circle {
stroke: #bbb;
}
</style>
<body>
</body>
<script>
var name_col = "Name";
// properties
var margin = {top: 20, right: 30, bottom: 40, left: 450};
var width = 1260 - margin.left - margin.right;
var height = 300 - margin.top - margin.bottom;
var yscale = d3.scalePoint();
var xscale = d3.scaleTime();
var radius = d3.scaleSqrt();
var color = d3.scaleLinear()
.range(["#c51b7d","#e9a3c9","#fde0ef","#f7f7f7","#e6f5d0","#a1d76a","#4d9221"]);
// a flat array of data values in country,year,value format
var data_values = [];
d3.csv('average-prices.csv', function(err, data) {
if (err) { throw(error) }
console.log(data);
console.log("columns", data.columns);
var countries = data.map(function(d) {
return d[name_col];
});
console.log(countries);
var times = data.columns.slice(2)
.filter(function(d) {
return d.indexOf("Annual") == -1 &&
d.indexOf("HALF") == -1;
})
.map(function(d) {
return d3.timeParse("%b %Y")(d);
})
.slice(-72);
console.log(times);
// loop through every data value
data.forEach(function(row) {
times.forEach(function(time_date) {
// adds a single value to the data_values array
var time = d3.timeFormat("%b %Y")(time_date);
data_values.push({
name: row[name_col],
time: time,
value: +row[time].replace("(R)","")
});
});
});
// filter out non-numeric values
// in a line chart, leave these in and use line.defined() from d3-shape
data_values = data_values.filter(function(d) {
return !isNaN(d.value);
});
var data_extent = d3.extent(data_values.map(function(d) {
return d.value;
}));
// scales
yscale
.range([0,height])
.domain(countries);
xscale
.range([0, width])
.domain(d3.extent(times));
radius
.range([0, 9])
.domain(data_extent);
color
.domain(
d3.range(7).map(function(d) {
return d / 6 * data_extent[1];
})
)
var yaxis = d3.axisLeft()
.scale(yscale);
var xaxis = d3.axisBottom()
.tickFormat(d3.timeFormat("%b %Y"))
.scale(xscale);
var chart = d3.select("body")
.append("div");
var svg = chart.append('svg')
.attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom)
.append('g')
.attr('transform', 'translate(' + [margin.left, margin.top] + ')')
svg.append("g")
.call(yaxis);
svg.append("g")
.attr("transform", "translate(0," + (height+8) + ")")
.call(xaxis);
svg.append("g")
.selectAll("circle")
.data(data_values)
.enter().append("circle")
.attr("r", function(d) { return radius(d.value); })
.attr("cy", function(d) { return yscale(d.name); })
.attr("cx", function(d) { return xscale(d3.timeParse("%b %Y")(d.time)); })
.attr("fill", function(d) { return color(d.value); })
});
</script>
Raw
index.html
<!doctype html>
<script src="https://d3js.org/d3.v4.min.js"></script>
<style type="text/css">
body {
font-family: sans-serif;
}
text {
font-size: 16px;
fill: #888;
}
path, line {
stroke: #888;
}
circle {
stroke: #bbb;
}
</style>
<body>
</body>
<script>
// properties
var margin = {top: 20, right: 30, bottom: 40, left: 150};
var width = 960 - margin.left - margin.right;
var height = 700 - margin.top - margin.bottom;
var yscale = d3.scalePoint();
var xscale = d3.scaleLinear();
var radius = d3.scaleSqrt();
var color = d3.scaleLinear()
.range(["#c51b7d","#e9a3c9","#fde0ef","#f7f7f7","#e6f5d0","#a1d76a","#4d9221"]);
// a flat array of data values in country,year,value format
var data_values = [];
d3.csv('paidleave-oecd.csv', function(err, data) {
if (err) { throw(error) }
console.log(data);
console.log("columns", data.columns);
var countries = data.map(function(d) {
return d.country;
});
var years = data.columns.slice(1).map(function(d) {
return +d;
});
// loop through every data value
data.forEach(function(row) {
years.forEach(function(year) {
// adds a single value to the data_values array
data_values.push({
country: row.country,
year: year,
value: +row[year]
});
});
});
// filter out non-numeric values
// in a line chart, leave these in and use line.defined() from d3-shape
data_values = data_values.filter(function(d) {
return !isNaN(d.value);
});
var data_extent = d3.extent(data_values.map(function(d) {
return d.value;
}));
// scales
yscale
.range([0,height])
.domain(countries);
xscale
.range([0, width])
.domain(d3.extent(years));
radius
.range([3, 9])
.domain(data_extent);
color
.domain(
d3.range(7).map(function(d) {
return d / 6 * data_extent[1];
})
)
var yaxis = d3.axisLeft()
.scale(yscale);
var xaxis = d3.axisBottom()
.tickFormat(function(d) { return d; })
.scale(xscale);
var chart = d3.select("body")
.append("div");
var svg = chart.append('svg')
.attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom)
.append('g')
.attr('transform', 'translate(' + [margin.left, margin.top] + ')')
svg.append("g")
.call(yaxis);
svg.append("g")
.attr("transform", "translate(0," + (height+8) + ")")
.call(xaxis);
svg.append("g")
.selectAll("circle")
.data(data_values)
.enter().append("circle")
.attr("r", function(d) { return radius(d.value); })
.attr("cy", function(d) { return yscale(d.country); })
.attr("cx", function(d) { return xscale(d.year); })
.attr("fill", function(d) { return color(d.value); })
/*
gens.selectAll("circle")
.data(function(d) { return d.values; })
.enter().append("circle")
.attr("r", function(d) { return radius(d.yield); })
.attr("cy", 0)
.attr("cx", function(d) { return xscale(d.year); })
.attr("fill", function(d) { return color(d.gen); })
.on("mouseover", function(d) {
console.log(d.yield);
});
console.log(nested);
*/
});
</script>
Raw
paidleave-oecd.csv
country 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Australia 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 18 18 18 18 18
Austria 60 112 112 112 112 112 112 86 86 86 86 86 86 86 86 86 86 86 73 73 60 60 60 60 60 60
Belgium 14 15 15 15 15 15 15 15 28 28 28 28 28 28 28 28 28 28 28 28 28 28 32.3 32.3 32.3 32.3
Canada 15 25 25 25 25 25 25 25 25 25 25 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52
Chile .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 30 30
Czech Republic 162 162 162 162 162 162 162 162 162 162 162 162 162 162 162 162 162 162 110 110 110 110 110 110 110 110
Denmark 28 28 54 54 54 54 54 54 54 54 54 54 50 50 50 50 50 50 50 50 50 50 50 50 50 50
Estonia .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 166 166 166 166
Finland 159 161 161 161 161 161 161 161 161 161 161 161 161 159 159 159 159 159 159 159 159 159 159 161 161 161
France 16 16 16 16 16 16 16 16 16 16 16 16 16 16 42 42 42 42 42 42 42 42 42 42 42 42
Germany 70 83.3 83.3 109.3 109.3 109.3 109.3 109.3 109.3 109.3 109.3 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58
Greece 15 15 15 16 16 16 16 16 16 16 17 17 17 17 17 17 17 17 43 43 43 43 43 43 43 43
Hungary 162 162 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160 160
Iceland 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26 26
Ireland 14 14 14 14 14 14 14 14 14 14 14 18 18 18 18 18 22 26 26 26 26 26 26 26 26 26
Israel .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 14 14
Italy 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7 47.7
Japan 14 14 14 14 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58 58
Korea 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5 8.5 58.4 58.4 58.4 58.4 58.4 58.4 64.9 64.9 64.9 64.9 64.9 64.9 64.9 64.9
Luxembourg 16 16 16 16 16 16 16 16 16 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42
Mexico 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12
Netherlands 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 42 42 42 42 42 42 16
New Zealand 0 0 0 0 0 0 0 0 0 0 0 0 0 12 12 13 13 14 14 14 14 14 14 14 14 16
Norway 28 28 35 38 38 38 38 38 38 90 90 90 90 90 90 90 90 90 90 88 88 87 87 87 87 91
Poland 16 16 16 16 16 16 16 16 16 16 20 26 16 16 16 16 16 18 18 20 22 22 24 52 52 52
Portugal 12.9 12.9 12.9 12.9 12.9 14 14 14 14 15.7 17.1 17.1 17.1 17.1 17.1 17.1 17.1 17.1 17.1 30.1 30.1 30.1 30.1 30.1 30.1 30.1
Slovak Republic 162 162 162 164 164 164 164 164 164 164 164 164 164 164 164 164 164 164 164 164 164 164 164 164 164 164
Slovenia .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 52.1 52.1 52.1 52.1
Spain 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16
Sweden 63 63 63 63 63 58.7 58.7 58.7 58.7 58.7 58.7 58.7 60 60 60 60 60 60 60 60 60 60 60 60 60 60
Switzerland 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 14 14 14 14 14 14 14 14 14 14
Turkey 12 12 12 12 12 12 12 12 12 12 12 12 12 16 16 16 16 16 16 16 16 16 16 16 16 16
United Kingdom 18 18 18 18 18 18 18 18 18 18 18 18 18 26 26 26 26 39 39 39 39 39 39 39 39 39
United States 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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