% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34051 % Primary Name: BATAVIA 4 N % Record Type: TAVG % Country: United States % State: OH % Latitude: 39.11670 +/- 0.00005 % Longitude: -84.16670 +/- 0.00005 % Elevation (m): 259.10 +/- 0.05 % # of Months: 239 % % IDs: coop - 330460 % ghcnd - USC00330460 % ncdc - 20015167 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 664d1a5f200139fb2ac758d32ce59860 % Raw Data Hash: 3764aa825b355b367541ab055d189e6a % Adj Data Hash: ca2e3edc9f03baabc8f0c945651b0f4d % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1930 1 NaN NaN NaN NaN NaN NaN -1.488 0.373 1930 2 NaN NaN NaN NaN NaN NaN 4.020 4.271 1930 3 NaN NaN NaN NaN NaN NaN 4.656 -0.557 1930 4 NaN NaN NaN NaN NaN NaN 12.676 1.262 1930 5 NaN NaN NaN NaN NaN NaN 17.707 0.750 1930 6 NaN NaN NaN NaN NaN NaN 21.588 0.051 1930 7 NaN NaN NaN NaN NaN NaN 24.759 1.237 1930 8 NaN NaN NaN NaN NaN NaN 22.583 -0.176 1930 9 NaN NaN NaN NaN NaN NaN 20.796 1.573 1930 10 NaN NaN NaN NaN NaN NaN 10.976 -1.493 1930 11 NaN NaN NaN NaN NaN NaN 6.458 0.271 1930 12 NaN NaN NaN NaN NaN NaN -0.222 -0.879 1931 1 1.444 2.718 0 0 0.981 2.255 0.082 1.943 1931 2 4.333 3.997 0 0 4.022 3.686 1.996 2.247 1931 3 3.278 -2.522 0 0 3.047 -2.753 3.082 -2.131 1931 4 11.889 -0.113 0 0 11.598 -0.404 10.887 -0.528 1931 5 16.056 -1.489 0 0 15.639 -1.905 15.194 -1.763 1931 6 22.778 0.654 0 0 22.239 0.115 22.039 0.502 1931 7 25.167 1.058 0 0 24.571 0.462 25.228 1.707 1931 8 22.889 -0.456 0 0 22.386 -0.959 22.331 -0.427 1931 9 22.333 2.523 0 0 22.030 2.220 22.032 2.809 1931 10 15.667 2.611 0 0 15.458 2.401 14.007 1.538 1931 11 11.556 4.781 0 0 11.227 4.452 11.049 4.862 1931 12 5.500 4.256 0 0 5.015 3.770 4.988 4.330 1932 1 5.278 6.551 0 0 4.815 6.088 4.453 6.313 1932 2 5.667 5.331 0 0 5.355 5.019 3.901 4.152 1932 3 3.333 -2.466 0 0 3.102 -2.698 2.075 -3.138 1932 4 11.611 -0.391 0 0 11.320 -0.682 10.449 -0.965 1932 5 17.667 0.122 0 0 17.250 -0.294 16.835 -0.122 1932 6 23.444 1.321 0 0 22.905 0.782 22.029 0.493 1932 7 24.611 0.502 0 0 24.016 -0.093 23.297 -0.225 1932 8 23.000 -0.345 0 0 22.498 -0.848 22.594 -0.164 1932 9 20.111 0.301 0 0 19.808 -0.002 19.574 0.350 1932 10 13.778 0.722 0 0 13.569 0.512 12.343 -0.126 1932 11 5.167 -1.608 0 0 4.838 -1.936 5.071 -1.116 1932 12 1.000 -0.244 0 0 0.515 -0.730 0.423 -0.234 1933 1 4.778 6.051 0 0 4.315 5.588 3.258 5.118 1933 2 1.500 1.164 0 0 1.189 0.853 -0.096 0.155 1933 3 5.667 -0.133 0 0 5.435 -0.364 4.801 -0.411 1933 4 11.778 -0.224 0 0 11.487 -0.515 11.345 -0.070 1933 5 19.167 1.622 0 0 18.750 1.206 18.385 1.428 1933 6 24.722 2.598 0 0 24.183 2.059 23.892 2.355 1933 7 24.778 0.669 0 0 24.182 0.073 23.546 0.024 1933 8 23.222 -0.123 0 0 22.720 -0.626 22.368 -0.390 1933 9 22.556 2.745 0 0 22.252 2.442 21.633 2.410 1933 10 12.889 -0.167 0 0 12.680 -0.376 11.681 -0.788 1933 11 5.611 -1.163 0 0 5.282 -1.492 5.178 -1.009 1933 12 3.667 2.422 0 0 3.181 1.937 2.525 1.868 1934 1 2.444 3.718 0 0 1.981 3.255 1.034 2.895 1934 2 -3.500 -3.836 0 0 -3.811 -4.147 -5.756 -5.505 1934 3 4.167 -1.633 0 0 3.935 -1.864 3.052 -2.161 1934 4 12.167 0.165 0 0 11.876 -0.126 11.031 -0.384 1934 5 19.556 2.011 0 0 19.139 1.595 18.226 1.269 1934 6 25.389 3.265 0 0 24.850 2.726 24.644 3.108 1934 7 27.889 3.780 0 0 27.293 3.184 26.006 2.484 1934 8 24.000 0.655 0 0 23.498 0.152 22.600 -0.158 1934 9 21.000 1.190 0 0 20.697 0.886 20.393 1.170 1934 10 14.111 1.055 0 0 13.902 0.846 12.665 0.197 1934 11 8.889 2.115 0 0 8.560 1.786 8.446 2.259 1934 12 0.667 -0.578 0 0 0.181 -1.063 -0.071 -0.728 1935 1 0.333 1.607 0 4 0.390 1.663 -0.867 0.994 1935 2 1.889 1.553 0 0 1.843 1.507 0.348 0.599 1935 3 10.667 4.867 0 0 10.668 4.869 9.319 4.107 1935 4 10.222 -1.780 0 0 10.240 -1.761 9.926 -1.489 1935 5 15.722 -1.822 0 0 15.539 -2.005 14.466 -2.491 1935 6 20.333 -1.790 0 0 19.953 -2.171 20.305 -1.231 1935 7 25.444 1.336 0 0 25.102 0.993 24.876 1.354 1935 8 23.778 0.432 0 0 23.532 0.187 23.165 0.407 1935 9 19.222 -0.588 0 0 18.927 -0.883 18.734 -0.490 1935 10 14.111 1.055 0 0 13.803 0.747 12.553 0.084 1935 11 6.278 -0.496 0 0 6.176 -0.598 6.833 0.646 1935 12 -3.333 -4.578 0 0 -3.235 -4.480 -3.419 -4.076 1936 1 -4.333 -3.060 0 0 -4.277 -3.004 -5.299 -3.438 1936 2 -2.611 -2.947 0 0 -2.657 -2.993 -4.306 -4.055 1936 3 8.944 3.145 0 0 8.946 3.146 7.294 2.082 1936 4 9.444 -2.557 0 0 9.463 -2.539 9.023 -2.392 1936 5 19.333 1.789 0 0 19.151 1.606 18.119 1.162 1936 6 23.500 1.376 0 0 23.119 0.996 22.119 0.583 1936 7 27.333 3.224 0 0 26.991 2.882 25.523 2.001 1936 8 26.611 3.266 0 0 26.365 3.020 24.925 2.167 1936 9 22.111 2.301 0 0 21.816 2.006 21.573 2.350 1936 10 13.333 0.277 0 0 13.025 -0.031 12.767 0.298 1936 11 3.944 -2.830 0 0 3.843 -2.932 4.196 -1.991 1936 12 3.111 1.867 0 0 3.209 1.964 2.253 1.596 1937 1 4.111 5.384 0 0 4.168 5.441 3.031 4.892 1937 2 1.333 0.997 0 0 1.288 0.952 -0.076 0.175 1937 3 3.556 -2.244 0 0 3.557 -2.242 2.927 -2.286 1937 4 11.444 -0.557 0 0 11.463 -0.539 11.034 -0.381 1937 5 16.889 -0.655 0 0 16.706 -0.838 16.192 -0.765 1937 6 22.056 -0.068 0 0 21.675 -0.449 21.528 -0.008 1937 7 23.778 -0.331 0 0 23.435 -0.674 22.929 -0.593 1937 8 24.333 0.988 0 0 24.088 0.742 23.914 1.156 1937 9 18.444 -1.366 0 0 18.149 -1.661 17.918 -1.305 1937 10 12.278 -0.778 0 0 11.970 -1.086 11.277 -1.192 1937 11 4.778 -1.996 0 0 4.676 -2.098 4.754 -1.433 1937 12 -0.333 -1.578 0 0 -0.235 -1.480 -1.104 -1.761 1938 1 0.611 1.884 0 0 0.668 1.941 -0.808 1.053 1938 2 4.889 4.553 0 0 4.843 4.507 3.346 3.597 1938 3 9.444 3.645 0 0 9.446 3.646 8.671 3.459 1938 4 13.333 1.332 0 0 13.351 1.350 12.720 1.306 1938 5 17.556 0.011 0 0 17.373 -0.171 16.589 -0.368 1938 6 21.444 -0.679 0 0 21.064 -1.060 20.640 -0.896 1938 7 24.000 -0.109 0 0 23.658 -0.451 23.492 -0.030 1938 8 23.722 0.377 0 0 23.476 0.131 23.801 1.043 1938 9 20.000 0.190 0 0 19.705 -0.105 19.842 0.619 1938 10 14.278 1.222 0 0 13.970 0.914 13.296 0.827 1938 11 8.000 1.226 0 0 7.898 1.124 7.396 1.209 1938 12 1.889 0.644 0 0 1.987 0.742 1.091 0.434 1939 1 2.667 3.940 0 0 2.723 3.996 1.188 3.049 1939 2 2.000 1.664 0 0 1.954 1.618 0.940 1.191 1939 3 7.167 1.367 0 0 7.168 1.369 6.225 1.012 1939 4 9.556 -2.446 0 0 9.574 -2.428 9.515 -1.900 1939 5 18.111 0.567 0 0 17.928 0.384 18.054 1.097 1939 6 22.889 0.765 0 0 22.508 0.385 22.804 1.267 1939 7 23.333 -0.776 0 0 22.991 -1.118 22.811 -0.710 1939 8 23.389 0.044 0 0 23.143 -0.202 22.933 0.175 1939 9 23.333 3.523 0 0 23.038 3.228 22.235 3.012 1939 10 15.778 2.722 0 0 15.470 2.414 13.719 1.250 1939 11 5.000 -1.774 0 0 4.898 -1.876 5.032 -1.155 1939 12 2.000 0.756 0 0 2.098 0.853 1.988 1.331 1940 1 -9.000 -7.727 0 0 -8.944 -7.670 -8.956 -7.095 1940 2 -0.556 -0.892 0 0 -0.601 -0.937 -1.271 -1.020 1940 3 3.611 -2.189 0 0 3.613 -2.187 3.713 -1.499 1940 4 9.889 -2.113 0 0 9.907 -2.095 9.347 -2.068 1940 5 15.556 -1.989 0 0 15.373 -2.171 15.032 -1.925 1940 6 22.222 0.098 0 0 21.842 -0.282 21.915 0.378 1940 7 24.056 -0.053 0 0 23.713 -0.396 23.403 -0.119 1940 8 23.944 0.599 0 0 23.699 0.353 23.181 0.423 1940 9 18.444 -1.366 0 0 18.149 -1.661 17.681 -1.542 1940 10 14.778 1.722 0 4 15.034 1.978 13.038 0.569 1940 11 6.000 -0.774 0 0 6.187 -0.587 5.847 -0.340 1940 12 4.778 3.533 0 0 4.913 3.669 3.761 3.104 1941 1 0.000 1.273 0 0 0.150 1.424 -1.024 0.836 1941 2 -1.111 -1.447 0 0 -0.963 -1.299 -2.462 -2.211 1941 3 2.556 -3.244 0 0 2.646 -3.154 1.665 -3.547 1941 4 14.111 2.109 0 0 14.215 2.214 13.939 2.525 1941 5 18.556 1.011 0 0 18.823 1.278 17.733 0.776 1941 6 22.000 -0.124 0 0 22.427 0.304 21.895 0.358 1941 7 24.000 -0.109 0 0 24.428 0.319 23.971 0.450 1941 8 22.778 -0.568 0 0 23.114 -0.231 22.389 -0.370 1941 9 21.389 1.579 0 0 21.675 1.865 21.009 1.786 1941 10 15.778 2.722 0 0 16.034 2.978 15.173 2.704 1941 11 6.944 0.170 0 0 7.132 0.357 6.947 0.760 1941 12 3.222 1.978 0 0 3.358 2.113 3.258 2.601 1942 1 -1.444 -0.171 0 0 -1.294 -0.021 -2.286 -0.425 1942 2 -1.667 -2.003 0 0 -1.518 -1.855 -2.530 -2.279 1942 3 7.389 1.589 0 0 7.479 1.679 6.759 1.547 1942 4 13.222 1.220 0 0 13.326 1.325 12.998 1.583 1942 5 17.389 -0.155 0 0 17.656 0.112 17.127 0.170 1942 6 21.778 -0.346 0 0 22.205 0.081 22.356 0.819 1942 7 23.667 -0.442 0 0 24.095 -0.014 23.971 0.449 1942 8 22.000 -1.345 0 0 22.337 -1.009 22.116 -0.642 1942 9 18.889 -0.921 0 0 19.175 -0.635 18.978 -0.246 1942 10 13.444 0.388 0 0 13.701 0.645 13.144 0.675 1942 11 7.222 0.448 0 0 7.409 0.635 7.314 1.127 1942 12 -0.778 -2.022 0 0 -0.642 -1.887 -1.406 -2.064 1943 1 0.556 1.829 0 0 0.706 1.979 -0.411 1.450 1943 2 1.556 1.219 0 0 1.704 1.368 0.436 0.687 1943 3 3.667 -2.133 0 0 3.757 -2.043 3.840 -1.373 1943 4 8.944 -3.057 0 0 9.049 -2.953 9.054 -2.361 1943 5 17.111 -0.433 0 0 17.378 -0.166 17.188 0.231 1943 6 23.444 1.321 0 0 23.872 1.748 24.327 2.791 1943 7 23.167 -0.942 0 0 23.595 -0.514 23.864 0.342 1943 8 23.167 -0.179 0 0 23.503 0.158 22.977 0.218 1943 9 17.778 -2.033 0 0 18.064 -1.746 18.058 -1.165 1943 10 11.889 -1.167 0 0 12.145 -0.911 11.620 -0.849 1943 11 5.667 -1.108 0 0 5.854 -0.920 4.975 -1.212 1943 12 -0.111 -1.356 0 0 0.024 -1.220 -0.900 -1.558 1944 1 1.444 2.718 0 0 1.595 2.868 -0.072 1.788 1944 2 3.444 3.108 0 0 3.593 3.257 1.549 1.800 1944 3 4.889 -0.911 0 0 4.979 -0.821 3.980 -1.232 1944 4 11.444 -0.557 0 0 11.549 -0.453 10.831 -0.584 1944 5 20.611 3.067 0 0 20.878 3.334 20.040 3.083 1944 6 24.111 1.987 0 0 24.538 2.415 23.539 2.003 1944 7 24.556 0.447 0 0 24.984 0.875 24.006 0.485 1944 8 24.056 0.710 0 0 24.392 1.047 23.630 0.871 1944 9 19.444 -0.366 0 0 19.731 -0.080 19.253 0.030 1944 10 13.278 0.222 0 0 13.534 0.478 12.281 -0.187 1944 11 6.778 0.004 0 0 6.965 0.191 6.521 0.334 1944 12 -2.056 -3.300 0 0 -1.920 -3.165 -2.606 -3.263 1945 1 -4.056 -2.782 0 0 -3.905 -2.632 -4.744 -2.884 1945 2 0.667 0.331 0 0 0.815 0.479 -0.289 -0.038 1945 3 11.833 6.034 0 0 11.923 6.124 11.149 5.936 1945 4 13.000 0.998 0 0 13.104 1.102 12.793 1.379 1945 5 15.000 -2.544 0 0 15.267 -2.277 14.471 -2.486 1945 6 20.444 -1.679 0 0 20.872 -1.252 20.589 -0.947 1945 7 22.222 -1.887 0 0 22.650 -1.459 22.555 -0.966 1945 8 22.333 -1.012 0 0 22.670 -0.675 22.298 -0.460 1945 9 20.889 1.079 0 0 21.175 1.365 21.074 1.851 1945 10 12.611 -0.445 0 0 12.868 -0.189 11.863 -0.606 1945 11 7.333 0.559 0 0 7.520 0.746 7.381 1.194 1945 12 -2.778 -4.022 0 0 -2.642 -3.887 -2.830 -3.487 1946 1 1.111 2.384 0 0 1.261 2.535 -0.083 1.777 1946 2 2.444 2.108 0 0 2.593 2.257 1.163 1.414 1946 3 11.778 5.978 0 0 11.868 6.068 11.350 6.138 1946 4 12.333 0.332 0 0 12.438 0.436 11.953 0.538 1946 5 15.667 -1.878 0 0 15.934 -1.610 15.744 -1.213 1946 6 21.333 -0.790 0 0 21.761 -0.363 21.346 -0.190 1946 7 22.611 -1.498 0 0 23.039 -1.070 22.959 -0.562 1946 8 20.000 -3.345 0 0 20.337 -3.009 19.734 -3.024 1946 9 19.000 -0.810 0 0 19.286 -0.524 19.179 -0.044 1946 10 14.444 1.388 0 0 14.701 1.645 14.189 1.720 1946 11 8.722 1.948 0 0 8.909 2.135 8.895 2.708 1946 12 3.000 1.756 0 0 3.136 1.891 2.950 2.293 1947 1 2.667 3.940 0 0 2.817 4.090 1.992 3.852 1947 2 -4.500 -4.836 0 0 -4.352 -4.688 -4.989 -4.738 1947 3 NaN NaN NaN NaN NaN NaN 1.495 -3.718 1947 4 12.444 0.443 0 0 12.549 0.547 12.126 0.712 1947 5 15.444 -2.100 0 0 15.712 -1.833 15.169 -1.788 1947 6 20.944 -1.179 0 0 21.372 -0.752 20.704 -0.833 1947 7 21.889 -2.220 0 0 22.317 -1.792 20.829 -2.692 1947 8 26.222 2.877 0 0 26.559 3.214 25.309 2.551 1947 9 20.056 0.245 0 0 20.342 0.531 19.697 0.474 1947 10 17.500 4.444 0 0 17.757 4.700 16.433 3.964 1947 11 4.778 -1.996 0 0 4.965 -1.809 5.211 -0.976 1947 12 1.111 -0.133 0 0 1.247 0.002 0.408 -0.249 1948 1 -4.944 -3.671 0 0 -4.794 -3.521 -6.089 -4.229 1948 2 1.333 0.997 0 0 1.482 1.145 -0.187 0.064 1948 3 7.500 1.700 0 0 7.590 1.790 7.326 2.114 1948 4 13.778 1.776 0 0 13.882 1.880 13.707 2.293 1948 5 15.667 -1.878 0 0 15.934 -1.610 15.667 -1.290 1948 6 21.611 -0.513 0 0 22.038 -0.085 21.743 0.206 1948 7 24.000 -0.109 0 0 24.428 0.319 23.868 0.347 1948 8 22.611 -0.734 0 0 22.948 -0.398 22.385 -0.373 1948 9 19.667 -0.144 0 0 19.953 0.142 20.024 0.801 1948 10 10.500 -2.556 0 0 10.757 -2.300 10.470 -1.999 1948 11 8.167 1.392 0 0 8.354 1.580 8.724 2.537 1948 12 2.222 0.978 0 0 2.358 1.113 2.300 1.643 1949 1 3.056 4.329 0 0 3.206 4.479 2.750 4.610 1949 2 3.500 3.164 0 0 3.648 3.312 2.654 2.905 1949 3 7.278 1.478 0 0 7.368 1.568 5.898 0.686 1949 4 11.667 -0.335 0 0 11.771 -0.231 10.286 -1.129 1949 5 17.556 0.011 0 0 17.823 0.278 17.391 0.434 1949 6 22.611 0.487 0 0 23.038 0.915 23.258 1.721 1949 7 24.611 0.502 0 0 25.039 0.930 25.619 2.097 1949 8 22.111 -1.234 0 0 22.448 -0.898 23.109 0.351 1949 9 16.111 -3.699 0 0 16.397 -3.413 16.755 -2.469 1949 10 15.000 1.944 0 0 15.257 2.200 15.263 2.794 1949 11 6.444 -0.330 0 0 6.632 -0.143 6.610 0.423 1949 12 3.667 2.422 0 0 3.802 2.558 2.553 1.896 1950 1 5.444 6.718 0 0 5.595 6.868 4.589 6.450 1950 2 2.222 1.886 0 0 2.370 2.034 0.876 1.127 1950 3 4.278 -1.522 0 0 4.368 -1.432 3.688 -1.524 1950 4 9.444 -2.557 0 0 9.549 -2.453 8.861 -2.554 1950 5 17.722 0.178 0 0 17.989 0.445 17.404 0.447 1950 6 20.778 -1.346 0 0 21.205 -0.919 20.609 -0.928 1950 7 21.944 -2.164 0 0 22.372 -1.736 22.065 -1.457 1950 8 21.278 -2.068 0 0 21.614 -1.731 21.030 -1.728 1950 9 18.444 -1.366 0 0 18.731 -1.080 18.521 -0.702 1950 10 NaN NaN NaN NaN NaN NaN 14.741 2.272 1950 11 3.278 -3.496 0 0 3.465 -3.309 3.744 -2.443 1950 12 -2.722 -3.967 0 0 -2.587 -3.831 -2.788 -3.445 1951 1 1.222 2.496 0 0 1.372 2.646 0.021 1.881 1951 2 NaN NaN NaN NaN NaN NaN -0.402 -0.151 1951 3 NaN NaN NaN NaN NaN NaN 5.429 0.216 1951 4 NaN NaN NaN NaN NaN NaN 10.497 -0.917 1951 5 NaN NaN NaN NaN NaN NaN 17.306 0.349 1951 6 NaN NaN NaN NaN NaN NaN 21.819 0.282 1951 7 NaN NaN NaN NaN NaN NaN 23.577 0.056 1951 8 NaN NaN NaN NaN NaN NaN 22.433 -0.325 1951 9 NaN NaN NaN NaN NaN NaN 18.700 -0.524 1951 10 NaN NaN NaN NaN NaN NaN 13.909 1.440 1951 11 NaN NaN NaN NaN NaN NaN 3.383 -2.804 1951 12 NaN NaN NaN NaN NaN NaN 0.752 0.095 1952 1 NaN NaN NaN NaN NaN NaN 2.033 3.893