Corpus statistics
| Dogs | 301 013 |
|---|---|
| With both parents | 291 446 |
| Kennels | 24 241 |
| People | 7 038 |
| Litters | 63 255 |
By decade of birth
· 18 rows
| 2020s | 23 297 |
|---|---|
| 2010s | 40 685 |
| 2000s | 59 092 |
| 1990s | 82 463 |
| 1980s | 28 620 |
| 1970s | 16 581 |
| 1960s | 5 363 |
| 1950s | 2 495 |
| 1940s | 13 054 |
| 1930s | 3 481 |
| 1920s | 1 085 |
| 1910s | 236 |
| 1900s | 290 |
| 1890s | 138 |
| 1880s | 40 |
| 1870s | 1 |
| 1850s | 1 |
| Year not recorded | 24 091 |
| Total | 301 013 |
Dogs and bitches by year of birth
· 148 rows
| Year | Dogs | Bitches | Sex not recorded | Total |
|---|---|---|---|---|
| 2026 | 42 | 43 | 0 | 85 |
| 2025 | 891 | 862 | 0 | 1 753 |
| 2024 | 1 617 | 1 622 | 0 | 3 239 |
| 2023 | 2 012 | 2 023 | 0 | 4 035 |
| 2022 | 2 083 | 1 955 | 0 | 4 038 |
| 2021 | 2 896 | 2 801 | 3 | 5 700 |
| 2020 | 2 292 | 2 152 | 3 | 4 447 |
| 2019 | 1 829 | 1 951 | 1 | 3 781 |
| 2018 | 1 895 | 1 851 | 0 | 3 746 |
| 2017 | 2 085 | 1 997 | 1 | 4 083 |
| 2016 | 1 924 | 1 959 | 0 | 3 883 |
| 2015 | 1 848 | 1 919 | 0 | 3 767 |
| 2014 | 1 848 | 1 874 | 0 | 3 722 |
| 2013 | 1 925 | 1 952 | 0 | 3 877 |
| 2012 | 2 109 | 2 038 | 0 | 4 147 |
| 2011 | 2 391 | 2 376 | 0 | 4 767 |
| 2010 | 2 440 | 2 472 | 0 | 4 912 |
| 2009 | 2 425 | 2 463 | 0 | 4 888 |
| 2008 | 2 543 | 2 636 | 0 | 5 179 |
| 2007 | 2 572 | 2 696 | 0 | 5 268 |
| 2006 | 2 844 | 2 947 | 0 | 5 791 |
| 2005 | 2 787 | 2 951 | 0 | 5 738 |
| 2004 | 3 085 | 3 042 | 0 | 6 127 |
| 2003 | 3 115 | 3 006 | 0 | 6 121 |
| 2002 | 3 067 | 3 153 | 0 | 6 220 |
| 2001 | 3 351 | 3 404 | 1 | 6 756 |
| 2000 | 3 434 | 3 570 | 0 | 7 004 |
| 1999 | 3 673 | 3 647 | 0 | 7 320 |
| 1998 | 4 170 | 4 131 | 0 | 8 301 |
| 1997 | 5 942 | 5 794 | 0 | 11 736 |
| 1996 | 6 141 | 5 946 | 0 | 12 087 |
| 1995 | 5 660 | 5 641 | 0 | 11 301 |
| 1994 | 4 252 | 4 154 | 0 | 8 406 |
| 1993 | 3 708 | 3 822 | 0 | 7 530 |
| 1992 | 3 090 | 3 231 | 0 | 6 321 |
| 1991 | 2 726 | 2 667 | 0 | 5 393 |
| 1990 | 1 975 | 2 093 | 0 | 4 068 |
| 1989 | 1 727 | 1 900 | 0 | 3 627 |
| 1988 | 1 829 | 1 884 | 0 | 3 713 |
| 1987 | 1 567 | 1 660 | 0 | 3 227 |
| 1986 | 1 465 | 1 548 | 0 | 3 013 |
| 1985 | 1 425 | 1 464 | 0 | 2 889 |
| 1984 | 1 386 | 1 473 | 0 | 2 859 |
| 1983 | 1 268 | 1 283 | 0 | 2 551 |
| 1982 | 1 139 | 1 188 | 0 | 2 327 |
| 1981 | 1 219 | 1 239 | 0 | 2 458 |
| 1980 | 929 | 1 027 | 0 | 1 956 |
| 1979 | 987 | 927 | 0 | 1 914 |
| 1978 | 1 010 | 1 030 | 0 | 2 040 |
| 1977 | 905 | 878 | 0 | 1 783 |
| 1976 | 1 021 | 868 | 0 | 1 889 |
| 1975 | 899 | 840 | 0 | 1 739 |
| 1974 | 877 | 920 | 0 | 1 797 |
| 1973 | 884 | 859 | 0 | 1 743 |
| 1972 | 702 | 713 | 0 | 1 415 |
| 1971 | 597 | 672 | 0 | 1 269 |
| 1970 | 509 | 483 | 0 | 992 |
| 1969 | 529 | 486 | 0 | 1 015 |
| 1968 | 362 | 464 | 0 | 826 |
| 1967 | 309 | 316 | 0 | 625 |
| 1966 | 350 | 306 | 0 | 656 |
| 1965 | 233 | 246 | 0 | 479 |
| 1964 | 235 | 257 | 0 | 492 |
| 1963 | 192 | 161 | 0 | 353 |
| 1962 | 192 | 191 | 0 | 383 |
| 1961 | 117 | 140 | 0 | 257 |
| 1960 | 126 | 151 | 0 | 277 |
| 1959 | 106 | 126 | 0 | 232 |
| 1958 | 129 | 115 | 0 | 244 |
| 1957 | 85 | 84 | 0 | 169 |
| 1956 | 119 | 118 | 0 | 237 |
| 1955 | 91 | 104 | 0 | 195 |
| 1954 | 125 | 129 | 0 | 254 |
| 1953 | 107 | 95 | 0 | 202 |
| 1952 | 182 | 130 | 0 | 312 |
| 1951 | 147 | 120 | 0 | 267 |
| 1950 | 210 | 173 | 0 | 383 |
| 1949 | 874 | 742 | 0 | 1 616 |
| 1948 | 1 113 | 950 | 0 | 2 063 |
| 1947 | 1 027 | 1 022 | 0 | 2 049 |
| 1946 | 944 | 951 | 0 | 1 895 |
| 1945 | 676 | 623 | 0 | 1 299 |
| 1944 | 572 | 568 | 0 | 1 140 |
| 1943 | 364 | 313 | 0 | 677 |
| 1942 | 412 | 373 | 0 | 785 |
| 1941 | 412 | 371 | 0 | 783 |
| 1940 | 414 | 333 | 0 | 747 |
| 1939 | 345 | 285 | 0 | 630 |
| 1938 | 321 | 278 | 0 | 599 |
| 1937 | 248 | 241 | 0 | 489 |
| 1936 | 219 | 164 | 0 | 383 |
| 1935 | 146 | 141 | 0 | 287 |
| 1934 | 158 | 138 | 0 | 296 |
| 1933 | 138 | 116 | 0 | 254 |
| 1932 | 108 | 90 | 0 | 198 |
| 1931 | 103 | 95 | 0 | 198 |
| 1930 | 68 | 79 | 0 | 147 |
| 1929 | 98 | 73 | 0 | 171 |
| 1928 | 80 | 96 | 0 | 176 |
| 1927 | 105 | 74 | 0 | 179 |
| 1926 | 80 | 74 | 0 | 154 |
| 1925 | 60 | 55 | 0 | 115 |
| 1924 | 61 | 37 | 0 | 98 |
| 1923 | 38 | 45 | 0 | 83 |
| 1922 | 28 | 23 | 0 | 51 |
| 1921 | 18 | 21 | 0 | 39 |
| 1920 | 10 | 9 | 0 | 19 |
| 1919 | 2 | 11 | 0 | 13 |
| 1918 | 3 | 0 | 0 | 3 |
| 1917 | 4 | 11 | 0 | 15 |
| 1916 | 11 | 13 | 0 | 24 |
| 1915 | 21 | 16 | 0 | 37 |
| 1914 | 18 | 15 | 0 | 33 |
| 1913 | 20 | 10 | 0 | 30 |
| 1912 | 19 | 14 | 0 | 33 |
| 1911 | 15 | 11 | 0 | 26 |
| 1910 | 16 | 6 | 0 | 22 |
| 1909 | 29 | 13 | 0 | 42 |
| 1908 | 20 | 6 | 0 | 26 |
| 1907 | 20 | 18 | 0 | 38 |
| 1906 | 20 | 13 | 0 | 33 |
| 1905 | 16 | 17 | 0 | 33 |
| 1904 | 18 | 12 | 0 | 30 |
| 1903 | 20 | 22 | 0 | 42 |
| 1902 | 8 | 3 | 0 | 11 |
| 1901 | 14 | 5 | 0 | 19 |
| 1900 | 7 | 9 | 0 | 16 |
| 1899 | 13 | 6 | 0 | 19 |
| 1898 | 8 | 6 | 0 | 14 |
| 1897 | 15 | 6 | 0 | 21 |
| 1896 | 7 | 5 | 0 | 12 |
| 1895 | 4 | 6 | 0 | 10 |
| 1894 | 13 | 7 | 0 | 20 |
| 1893 | 2 | 6 | 0 | 8 |
| 1892 | 6 | 8 | 0 | 14 |
| 1891 | 5 | 5 | 0 | 10 |
| 1890 | 7 | 3 | 0 | 10 |
| 1889 | 3 | 6 | 0 | 9 |
| 1888 | 6 | 4 | 0 | 10 |
| 1887 | 5 | 6 | 0 | 11 |
| 1886 | 2 | 2 | 0 | 4 |
| 1885 | 0 | 2 | 0 | 2 |
| 1883 | 0 | 1 | 0 | 1 |
| 1882 | 2 | 0 | 0 | 2 |
| 1881 | 0 | 1 | 0 | 1 |
| 1877 | 1 | 0 | 0 | 1 |
| 1857 | 0 | 1 | 0 | 1 |
| Year not recorded | 8 945 | 15 140 | 6 | 24 091 |
| Total | 147 563 | 153 435 | 15 | 301 013 |
Years in the table: 147 of 170, spanning 1857–2026. A year with no dog in the corpus gets no row. 24 091 dogs have no date of birth and fall into no year: they are gathered in the “Year not recorded” row, and with it the table reconciles with the number of dogs in the corpus. A year named approximately (“circa 1993”) stands in the 1993 column — the same reading sorting and filtering give it. Records with an approximate year of birth here: 0.
Colours by year of birth
· 148 rows
| Year | Black | Liver | Lemon | Colour not recorded | Total |
|---|---|---|---|---|---|
| 2026 | 61 | 24 | 0 | 0 | 85 |
| 2025 | 1 286 | 439 | 2 | 26 | 1 753 |
| 2024 | 2 377 | 809 | 0 | 53 | 3 239 |
| 2023 | 2 992 | 961 | 7 | 75 | 4 035 |
| 2022 | 2 807 | 1 105 | 6 | 120 | 4 038 |
| 2021 | 4 015 | 1 503 | 10 | 172 | 5 700 |
| 2020 | 3 141 | 1 128 | 8 | 170 | 4 447 |
| 2019 | 2 732 | 958 | 7 | 84 | 3 781 |
| 2018 | 2 725 | 919 | 3 | 99 | 3 746 |
| 2017 | 2 887 | 1 077 | 1 | 118 | 4 083 |
| 2016 | 2 793 | 972 | 4 | 114 | 3 883 |
| 2015 | 2 789 | 896 | 0 | 82 | 3 767 |
| 2014 | 2 677 | 951 | 10 | 84 | 3 722 |
| 2013 | 2 776 | 1 025 | 2 | 74 | 3 877 |
| 2012 | 3 083 | 986 | 3 | 75 | 4 147 |
| 2011 | 3 520 | 1 172 | 0 | 75 | 4 767 |
| 2010 | 3 496 | 1 330 | 4 | 82 | 4 912 |
| 2009 | 3 447 | 1 304 | 0 | 137 | 4 888 |
| 2008 | 3 789 | 1 277 | 0 | 113 | 5 179 |
| 2007 | 3 880 | 1 282 | 1 | 105 | 5 268 |
| 2006 | 4 323 | 1 338 | 2 | 128 | 5 791 |
| 2005 | 4 172 | 1 438 | 3 | 125 | 5 738 |
| 2004 | 4 586 | 1 337 | 3 | 201 | 6 127 |
| 2003 | 4 742 | 1 290 | 0 | 89 | 6 121 |
| 2002 | 4 821 | 1 274 | 4 | 121 | 6 220 |
| 2001 | 5 285 | 1 364 | 4 | 103 | 6 756 |
| 2000 | 5 531 | 1 355 | 0 | 118 | 7 004 |
| 1999 | 5 871 | 1 308 | 0 | 141 | 7 320 |
| 1998 | 6 710 | 1 504 | 8 | 79 | 8 301 |
| 1997 | 9 673 | 1 877 | 3 | 183 | 11 736 |
| 1996 | 9 958 | 2 007 | 0 | 122 | 12 087 |
| 1995 | 9 284 | 1 901 | 15 | 101 | 11 301 |
| 1994 | 6 213 | 1 663 | 26 | 504 | 8 406 |
| 1993 | 5 549 | 1 526 | 1 | 454 | 7 530 |
| 1992 | 4 703 | 1 235 | 0 | 383 | 6 321 |
| 1991 | 3 977 | 1 058 | 0 | 358 | 5 393 |
| 1990 | 2 912 | 865 | 1 | 290 | 4 068 |
| 1989 | 2 601 | 779 | 0 | 247 | 3 627 |
| 1988 | 2 789 | 713 | 0 | 211 | 3 713 |
| 1987 | 2 443 | 632 | 0 | 152 | 3 227 |
| 1986 | 2 257 | 540 | 0 | 216 | 3 013 |
| 1985 | 2 087 | 506 | 0 | 296 | 2 889 |
| 1984 | 2 081 | 493 | 0 | 285 | 2 859 |
| 1983 | 1 909 | 407 | 0 | 235 | 2 551 |
| 1982 | 1 664 | 378 | 7 | 278 | 2 327 |
| 1981 | 1 838 | 388 | 2 | 230 | 2 458 |
| 1980 | 1 489 | 298 | 4 | 165 | 1 956 |
| 1979 | 1 470 | 272 | 2 | 170 | 1 914 |
| 1978 | 1 570 | 228 | 7 | 235 | 2 040 |
| 1977 | 1 338 | 194 | 2 | 249 | 1 783 |
| 1976 | 1 354 | 239 | 2 | 294 | 1 889 |
| 1975 | 1 347 | 194 | 3 | 195 | 1 739 |
| 1974 | 1 370 | 193 | 1 | 233 | 1 797 |
| 1973 | 1 304 | 264 | 3 | 172 | 1 743 |
| 1972 | 1 078 | 191 | 3 | 143 | 1 415 |
| 1971 | 924 | 135 | 2 | 208 | 1 269 |
| 1970 | 690 | 148 | 0 | 154 | 992 |
| 1969 | 594 | 132 | 0 | 289 | 1 015 |
| 1968 | 574 | 113 | 1 | 138 | 826 |
| 1967 | 426 | 100 | 0 | 99 | 625 |
| 1966 | 467 | 104 | 0 | 85 | 656 |
| 1965 | 340 | 60 | 0 | 79 | 479 |
| 1964 | 337 | 70 | 0 | 85 | 492 |
| 1963 | 233 | 59 | 0 | 61 | 353 |
| 1962 | 263 | 34 | 0 | 86 | 383 |
| 1961 | 160 | 43 | 0 | 54 | 257 |
| 1960 | 182 | 27 | 0 | 68 | 277 |
| 1959 | 128 | 50 | 0 | 54 | 232 |
| 1958 | 153 | 66 | 0 | 25 | 244 |
| 1957 | 108 | 17 | 0 | 44 | 169 |
| 1956 | 146 | 47 | 0 | 44 | 237 |
| 1955 | 134 | 31 | 0 | 30 | 195 |
| 1954 | 145 | 52 | 0 | 57 | 254 |
| 1953 | 144 | 36 | 0 | 22 | 202 |
| 1952 | 208 | 57 | 0 | 47 | 312 |
| 1951 | 180 | 47 | 0 | 40 | 267 |
| 1950 | 257 | 67 | 0 | 59 | 383 |
| 1949 | 1 461 | 103 | 0 | 52 | 1 616 |
| 1948 | 1 909 | 107 | 0 | 47 | 2 063 |
| 1947 | 1 872 | 101 | 0 | 76 | 2 049 |
| 1946 | 1 776 | 86 | 0 | 33 | 1 895 |
| 1945 | 1 232 | 30 | 0 | 37 | 1 299 |
| 1944 | 1 058 | 63 | 0 | 19 | 1 140 |
| 1943 | 595 | 56 | 0 | 26 | 677 |
| 1942 | 712 | 51 | 0 | 22 | 785 |
| 1941 | 719 | 54 | 0 | 10 | 783 |
| 1940 | 701 | 40 | 0 | 6 | 747 |
| 1939 | 604 | 15 | 0 | 11 | 630 |
| 1938 | 566 | 8 | 0 | 25 | 599 |
| 1937 | 419 | 24 | 0 | 46 | 489 |
| 1936 | 314 | 20 | 0 | 49 | 383 |
| 1935 | 227 | 11 | 0 | 49 | 287 |
| 1934 | 229 | 20 | 0 | 47 | 296 |
| 1933 | 185 | 15 | 0 | 54 | 254 |
| 1932 | 145 | 5 | 0 | 48 | 198 |
| 1931 | 145 | 9 | 0 | 44 | 198 |
| 1930 | 111 | 5 | 0 | 31 | 147 |
| 1929 | 123 | 5 | 0 | 43 | 171 |
| 1928 | 107 | 4 | 0 | 65 | 176 |
| 1927 | 92 | 5 | 0 | 82 | 179 |
| 1926 | 85 | 1 | 0 | 68 | 154 |
| 1925 | 29 | 0 | 0 | 86 | 115 |
| 1924 | 17 | 1 | 0 | 80 | 98 |
| 1923 | 13 | 1 | 0 | 69 | 83 |
| 1922 | 6 | 0 | 0 | 45 | 51 |
| 1921 | 5 | 0 | 0 | 34 | 39 |
| 1920 | 4 | 0 | 0 | 15 | 19 |
| 1919 | 9 | 0 | 0 | 4 | 13 |
| 1918 | 2 | 0 | 0 | 1 | 3 |
| 1917 | 13 | 0 | 0 | 2 | 15 |
| 1916 | 21 | 0 | 0 | 3 | 24 |
| 1915 | 34 | 0 | 0 | 3 | 37 |
| 1914 | 15 | 1 | 0 | 17 | 33 |
| 1913 | 21 | 0 | 0 | 9 | 30 |
| 1912 | 15 | 2 | 0 | 16 | 33 |
| 1911 | 17 | 1 | 0 | 8 | 26 |
| 1910 | 10 | 1 | 0 | 11 | 22 |
| 1909 | 24 | 1 | 0 | 17 | 42 |
| 1908 | 14 | 2 | 0 | 10 | 26 |
| 1907 | 16 | 0 | 0 | 22 | 38 |
| 1906 | 19 | 0 | 0 | 14 | 33 |
| 1905 | 19 | 0 | 0 | 14 | 33 |
| 1904 | 16 | 4 | 0 | 10 | 30 |
| 1903 | 13 | 0 | 0 | 29 | 42 |
| 1902 | 5 | 0 | 0 | 6 | 11 |
| 1901 | 5 | 0 | 0 | 14 | 19 |
| 1900 | 4 | 0 | 0 | 12 | 16 |
| 1899 | 1 | 0 | 0 | 18 | 19 |
| 1898 | 1 | 0 | 0 | 13 | 14 |
| 1897 | 1 | 0 | 0 | 20 | 21 |
| 1896 | 1 | 0 | 0 | 11 | 12 |
| 1895 | 0 | 0 | 0 | 10 | 10 |
| 1894 | 0 | 0 | 0 | 20 | 20 |
| 1893 | 1 | 1 | 0 | 6 | 8 |
| 1892 | 4 | 1 | 0 | 9 | 14 |
| 1891 | 4 | 0 | 0 | 6 | 10 |
| 1890 | 6 | 0 | 0 | 4 | 10 |
| 1889 | 5 | 0 | 0 | 4 | 9 |
| 1888 | 6 | 0 | 0 | 4 | 10 |
| 1887 | 5 | 3 | 0 | 3 | 11 |
| 1886 | 3 | 0 | 0 | 1 | 4 |
| 1885 | 2 | 0 | 0 | 0 | 2 |
| 1883 | 0 | 0 | 0 | 1 | 1 |
| 1882 | 0 | 0 | 0 | 2 | 2 |
| 1881 | 1 | 0 | 0 | 0 | 1 |
| 1877 | 1 | 0 | 0 | 0 | 1 |
| 1857 | 1 | 0 | 0 | 0 | 1 |
| Year not recorded | 4 035 | 885 | 0 | 19 171 | 24 091 |
| Total | 214 196 | 54 604 | 177 | 32 036 | 301 013 |
A dog may have more than one colour recorded; in this table it is counted once, under its primary colour.
Years in the table: 147 of 170, spanning 1857–2026. A year with no dog in the corpus gets no row. 24 091 dogs have no date of birth and fall into no year: they are gathered in the “Year not recorded” row, and with it the table reconciles with the number of dogs in the corpus. A year named approximately (“circa 1993”) stands in the 1993 column — the same reading sorting and filtering give it. Records with an approximate year of birth here: 0.
Distribution of the coefficient of inbreeding
· 8 rows
| Exactly 0 | 34 198 |
|---|---|
| below 1.5625% | 7 515 |
| 1.5625–3.125% | 13 597 |
| 3.125–6.25% | 53 075 |
| 6.25–12.5% | 128 505 |
| 12.5–25% | 56 748 |
| 25–50% | 7 342 |
| 50% and above | 33 |
| Total | 301 013 |
The band edges are powers of one half, which is what a coefficient is summed from, and each of them names a mating. 6.25% is what first cousins give, 12.5% half-siblings, an uncle with a niece or a grandsire with a granddaughter, 25% full siblings or a parent with its own offspring, and 50% that mating repeated generation after generation. 1 179 dogs sit exactly on an edge, and next to nobody sits on a round percentage — which is why the edges are these. An edge reads this way: a dog whose coefficient is exactly 25% goes into the band that BEGINS at 25%, not into the one that ends there. Computed over the whole pedigree, with no generation limit. Other databases usually quote a coefficient over N generations — that is a different number and the two are not directly comparable.
Longest pedigree chains
· 10 rows
Depth counts the dog itself as generation 1: depth 62 means 61 known ancestors above it.
At depth 61 — 22 litters; 8 shown.