Tempo-adjusted total fertility rate in Russia
From Demography
This page gives information of type tempo-adjusted total fertility rate about the country Russia.
See all pages giving information on tempo-adjusted total fertility rate for particular countries|See all pages giving information about Russia
Data sources
Some data on this page comes from the Human Fertility Database (website www.humanfertility.org) (data downloaded January 2014, last updated by HFD April 2012). The data collected by the Human Fertility Database is based on government data collection by the government of Russia. You can download the data yourself here. Details about the modalities of data collection are available here. Where available, we use HFD data because of its higher reliability.
Data
The tempo-adjusted total fertility rates have been computed using the Bongarts-Feeney formula below.
Year | adjTFR | adjTFR1 | adjTFR2 | adjTFR3 | adjTFR4 | adjTFR5+ |
---|---|---|---|---|---|---|
1960 | 2.29 | 0.879 | 0.706 | 0.321 | 0.16 | 0.224 |
1961 | 2.29 | 0.925 | 0.683 | 0.319 | 0.153 | 0.21 |
1962 | 2.32 | 0.956 | 0.678 | 0.32 | 0.155 | 0.21 |
1963 | 2.244 | 0.959 | 0.658 | 0.293 | 0.144 | 0.19 |
1964 | 2.244 | 0.996 | 0.669 | 0.267 | 0.136 | 0.176 |
1965 | 2.1 | 0.911 | 0.642 | 0.257 | 0.124 | 0.166 |
1966 | 2.056 | 0.93 | 0.607 | 0.25 | 0.109 | 0.16 |
1967 | 1.964 | 0.916 | 0.574 | 0.219 | 0.106 | 0.15 |
1968 | 1.934 | 0.848 | 0.617 | 0.213 | 0.106 | 0.15 |
1969 | 1.922 | 0.833 | 0.668 | 0.198 | 0.092 | 0.131 |
1970 | 1.909 | 0.882 | 0.629 | 0.195 | 0.082 | 0.121 |
1971 | 1.948 | 0.909 | 0.62 | 0.209 | 0.088 | 0.122 |
1972 | 1.937 | 0.935 | 0.611 | 0.191 | 0.085 | 0.115 |
1973 | 1.827 | 0.916 | 0.565 | 0.173 | 0.067 | 0.106 |
1974 | 1.839 | 0.936 | 0.574 | 0.164 | 0.066 | 0.1 |
1975 | 1.794 | 0.918 | 0.58 | 0.148 | 0.061 | 0.088 |
1976 | 1.789 | 0.923 | 0.592 | 0.14 | 0.053 | 0.081 |
1977 | 1.798 | 0.908 | 0.622 | 0.143 | 0.051 | 0.075 |
1978 | 1.761 | 0.897 | 0.612 | 0.139 | 0.046 | 0.067 |
1979 | 1.731 | 0.911 | 0.584 | 0.133 | 0.043 | 0.06 |
1980 | 1.797 | 0.956 | 0.609 | 0.137 | 0.042 | 0.053 |
1981 | 1.854 | 0.95 | 0.653 | 0.155 | 0.047 | 0.05 |
1982 | 1.923 | 0.921 | 0.717 | 0.186 | 0.051 | 0.049 |
1983 | 2.014 | 0.92 | 0.786 | 0.207 | 0.053 | 0.048 |
1984 | 1.953 | 0.945 | 0.71 | 0.197 | 0.054 | 0.047 |
1985 | 2.088 | 0.982 | 0.761 | 0.229 | 0.064 | 0.051 |
1986 | 2.271 | 0.983 | 0.864 | 0.287 | 0.079 | 0.059 |
1987 | 2.173 | 0.979 | 0.809 | 0.26 | 0.071 | 0.055 |
1988 | 1.959 | 0.946 | 0.694 | 0.209 | 0.058 | 0.052 |
1989 | 1.787 | 0.893 | 0.619 | 0.175 | 0.053 | 0.048 |
1990 | 1.714 | 0.913 | 0.555 | 0.156 | 0.049 | 0.042 |
1991 | 1.645 | 0.932 | 0.487 | 0.14 | 0.043 | 0.042 |
1992 | 1.499 | 0.873 | 0.436 | 0.118 | 0.039 | 0.033 |
1993 | 1.358 | 0.79 | 0.417 | 0.099 | 0.03 | 0.021 |
1994 | 1.522 | 0.891 | 0.469 | 0.11 | 0.031 | 0.022 |
1995 | 1.627 | 0.974 | 0.475 | 0.123 | 0.033 | 0.023 |
1996 | 1.525 | 0.888 | 0.462 | 0.12 | 0.035 | 0.021 |
1997 | 1.445 | 0.808 | 0.467 | 0.115 | 0.034 | 0.021 |
1998 | 1.5 | 0.855 | 0.466 | 0.12 | 0.035 | 0.023 |
1999 | 1.439 | 0.857 | 0.417 | 0.113 | 0.032 | 0.021 |
2000 | 1.509 | 0.863 | 0.48 | 0.119 | 0.03 | 0.018 |
2001 | 1.472 | 0.808 | 0.503 | 0.111 | 0.031 | 0.019 |
2002 | 1.487 | 0.825 | 0.495 | 0.115 | 0.03 | 0.021 |
2003 | 1.544 | 0.861 | 0.51 | 0.12 | 0.032 | 0.02 |
2004 | 1.563 | 0.887 | 0.505 | 0.118 | 0.033 | 0.02 |
2005 | 1.472 | 0.839 | 0.474 | 0.111 | 0.03 | 0.018 |
2006 | 1.45 | 0.831 | 0.463 | 0.11 | 0.029 | 0.016 |
2007 | 1.579 | 0.831 | 0.543 | 0.145 | 0.038 | 0.022 |
2008 | 1.731 | 0.906 | 0.598 | 0.165 | 0.041 | 0.021 |
2009 | 1.822 | 1 | 0.596 | 0.166 | 0.04 | 0.021 |
Average | 1.80838 | 0.9039 | 0.59062 | 0.17656 | 0.06388 | 0.07358 |
Median | 1.7975 | 0.911 | 0.597 | 0.16 | 0.051 | 0.0505 |
Standard deviation | 0.2679164422 | 0.0518723905 | 0.1047576192 | 0.0629921148 | 0.0374169229 | 0.0606438549 |
Slope for best linear fit (using linear regression) | -0.0143228331 | -0.001330084 | -0.003850036 | -0.0031493878 | -0.0021843938 | -0.0038103721 |
Multiplier for best logarithmic fit (using linear regression on logarithm) | 0.9920814763 | 0.9984835257 | 0.9931077298 | 0.9829660934 | 0.9685987665 | 0.9457751551 |
R^2 for linear regression | 0.6073206724 | 0.1397154936 | 0.2870233831 | 0.5311764662 | 0.7242435712 | 0.8389191769 |