Kenya | Number of neonatal deaths

Number of neonates dying before reaching 28 days of age. Limitations and exceptions: Complete vital registration systems are fairly uncommon in developing countries. Thus estimates must be obtained from sample surveys or derived by applying indirect estimation techniques to registration, census, or survey data. Survey data are subject to recall error, and surveys estimating infant/child deaths require large samples because households in which a birth has occurred during a given year cannot ordinarily be preselected for sampling. Indirect estimates rely on model life tables that may be inappropriate for the population concerned. Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.
Publisher
The World Bank
Origin
Republic of Kenya
Records
63
Source
Kenya | Number of neonatal deaths
1960 20816
1961 21021
1962 21175
1963 21302
1964 21467
1965 21862
1966 22269
1967 22662
1968 23089
1969 23505
1970 23785
1971 24088
1972 24122
1973 24094
1974 24146
1975 24272
1976 24501
1977 24717
1978 25082
1979 25434
1980 25745
1981 26258
1982 26562
1983 26823
1984 27241
1985 27485
1986 27732
1987 27826
1988 27724
1989 27643
1990 27516
1991 27570
1992 27773
1993 28179
1994 28769
1995 29573
1996 30340
1997 31163
1998 32168
1999 32798
2000 33577
2001 34334
2002 34728
2003 34864
2004 35167
2005 35467
2006 35668
2007 35801
2008 35567
2009 34935
2010 34121
2011 33226
2012 32401
2013 31538
2014 30837
2015 30566
2016 30053
2017 29478
2018 28888
2019 28157
2020 27586
2021 27040
2022

Kenya | Number of neonatal deaths

Number of neonates dying before reaching 28 days of age. Limitations and exceptions: Complete vital registration systems are fairly uncommon in developing countries. Thus estimates must be obtained from sample surveys or derived by applying indirect estimation techniques to registration, census, or survey data. Survey data are subject to recall error, and surveys estimating infant/child deaths require large samples because households in which a birth has occurred during a given year cannot ordinarily be preselected for sampling. Indirect estimates rely on model life tables that may be inappropriate for the population concerned. Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.
Publisher
The World Bank
Origin
Republic of Kenya
Records
63
Source