Estimates of vital rates for the Canadian Indians, 1960–1970

The present paper is an attempt to evaluate the registered data on Canadian Indians collected by the Department of Indian Affairs and Northern Development and to prepare vital rates for 1960–1970 using the adjusted data. A cursory examination of registered data for the purpose of developing various demographic indices and for making future estimates of population indicates certain anomalies that call for a careful appraisal of the data. The main problem is the inconsistency in the reporting of births, due largely to the late registration of births. One plausible reason for late registration may be the increased outward movement of Indians from their reserves. Indirect methods are used to adjust the number of births and infant deaths reported annually since 1960. On the basis of the adjusted data, vital rates for the Canadian Indians are calculated for the period 1960–1970. The crude death rate decreased from 10.9 in 1960 to 7.5 in 1970. The infant mortality rate registered a drastic decline, from 81.5 deaths per 1,000 births in 1960 to 34.9 in 1970. During this same time period the birth rate also declined, from 46.5 to 37.2.     

Estimation of vital rates by means of monte carlo simulation

Monte Carlo simulation has been used to estimate age-specific fertility and mortality rates for a small population,the French-derived isolate of Northside on St. Thomas, U. S. Virgin Islands. Estimates were based on data collected in a household census and genealogical survey and on birth, death, and marriage records for the years 1916to 1966. During this 50-year period (in which the population size increased from 202 to 657), the numbers of births and deaths were too, small to estimate age-specific rates directly, and in addition, death registration was incomplete. Mortality rates were estimated using a simulation program in which mortality was the only stochastic variable. A model mortality schedule was chosen which most accurately reproduced the growth pattern of the population over the 50-year period. To estimate fertility rates, a more complex simulation model was used in which fertility, nuptiality, and mortality were random variables with probability distributions. Preliminary estimates of fertility were made from the birth records and used as input to this simulation program. Birth probabilities were adjusted empirically from one set of simulation runs to the next, until population growth rates, as well as other demographic characteristics, were similar in the real and simulated populations. The birth rates which produced the best fit to the real population data were taken as the estimated age-specific fertility schedule. To reproduce the real population age structure more closely, secular changes in birth probabilities were applied.     

Revising Infant Mortality Rates for the Early Twentieth Century United States

Accurate vital statistics are required to understand the evolution of racial disparities in infant health and the causes of rapid secular decline in infant mortality during the early twentieth century. Unfortunately, U.S. infant mortality rates prior to 1950 suffer from an upward bias stemming from a severe underregistration of births. At one extreme, African American births in southern states went unregistered at the rate of 15 % to 25 %. In this study, we construct improved estimates of births and infant mortality in the United States for 1915–1940 using recently released complete count decennial census microdata combined with the counts of infant deaths from published sources. We check the veracity of our estimates with a major birth registration study completed in conjunction with the 1940 decennial census and find that the largest adjustments occur in states with less-complete birth registration systems. An additional advantage of our census-based estimation method is the extension backward of the birth and infant mortality series for years prior to published estimates of registered births, enabling previously impossible comparisons and estimations. Finally, we show that underregistration can bias effect estimates even in a panel setting with specifications that include location fixed effects and place-specific linear time trends.     

Vital rates in India 1961-71 estimated from 1971 census data

Abstract In the last decade the increase in the population of India, while, of course, very large, was smaller than predicted by official forecasts. With the use of recent census and sample registration data - in the absence of age-specific rates and adequate vital statistics - this paper provides estimates of fertility and mortality through the reverse-survival and forward-projection methods. Birth rates are estimated as 40·5-42, death rates as 18-20, and life expectancy at birth as 45-46 years. Mortality decline had been smaller than forecast but more than during any comparable period in the past, even though current mortality levels, particularly infant mortality, are still high. Males continue to have a longer life expectation than females, with a difference that has widened in the past decade. The decline of between seven and ten per cent in the crude birth rate is largely due to changes in marital fertility and to some extent to changes in age and marital composition. Because of greater decline in death rates than birth rates, the 1961-71 decade shows a higher rate of population growth than previous periods.     

Estimation of demographic measures for India, 1881-1961, based on census age distributions

Abstract India is one of the very few developing countries which have a relatively long history of population censuses. The first census was taken in 1872, the second in 1881 and since then there has been a census every ten years, the latest in 1971. Yet the registration of births and deaths in India, even at the present time, is too inadequate to be of much help in estimating fertility and mortality conditions in the country. From time to time Indian census actuaries have indirectly constructed life tables by comparing one census age distribution with the preceding one. Official life tables are available for all the decades from 1872-1881 to 1951-1961, except for 1911-1921 and 1931-1941. Kingsley Davis(1) filled in the gap by constructing life tables for the latter two decades. He also estimated the birth and death rates ofIndia for the decades from 1881-1891 to 1931-1941. Estimates of these rates for the following two decades, 1941-1951 and 1951-1961, were made by Indian census actuaries. The birth rates of Davis and the Indian actuaries were obtained basically by the reverse survival method from the age distribution and the computed life table of the population. Coale and Hoover(2), however, estimated the birth and death rates and the life table of the Indian population in 1951 by applying stable population theory. The most recent estimates of the birth rate and death rate for 1963-1964 are based on the results of the National Sample Survey. All these estimates are presented in summary form in Table 1.     

Population statistics] as of July 1, 2000

This Mahidol Population Gazette presents Thailand's population and demographic estimates as of July 1, 2000, using the standard techniques of demographic analysis. The paper provides estimates of Thailand's total population, population by sex, population in urban and rural areas, population by region, and by age group. In addition, figures of crude birth and death are listed per 1000 population, natural growth rate, and infant mortality rate per 1000 live births, male and females' life expectancy at birth and at age 60, total fertility rate, contraceptive prevalence rate. The number of the aged population in 2020 is also presented. Presented in a bar graph is a population pyramid for Thailand in the year 2000, illustrating male and females' age and year of birth.     

Constructing fertility tables for Soviet populations

Because the 1970 Soviet Union census does not provide information on the age structure of men and women separately by sex and according to their ethnic affiliation, the 1959 USSR census data serve as the basis to infer knowledge about ethnic fertility. The model takes into account (1) the total number of births in 1960, estimated from the child-woman ratio in 1959, (2) the age structure of women in 1959, and (3) the assumed pattern of age-specific birth rates structured in terms of the modal age at childbearing and the length of the fertility age span. The results show that Ukrainians among the Slav populations ranked as the lowest with 2.07 children born per woman. Their total fertility contrasts with that of Kazakhs native to Central Asia, who reportedly according to Soviet sources had 7.46 children per woman in 1958-1959, and whose estimated rate is around 8.59 children. Extreme variations appear in the estimates of fertility among nationalities of the Caucasus region, Volga Basin, and to a lesser degree in Siberia. Official Soviet calculations of crude birth rates and age-specific rates for 15 Union Republics in 1967-1968 are transcribed and compared with the estimates for nationalities in 1959-1960. The same theoretical model used to generate the Soviet rates may be adapted under different assumptions to non-Soviet populations in other situations where the data are scanty or incomplete.     

Population statistics] as of July 1, 1998

This article presents estimates of relevant population numbers and vital rates in Thailand as of July 1, 1998. Utilizing the standard demographic techniques of analysis, the estimates provided are assured to be the most accurate demographic estimates possible. Total population was estimated at 61,143,000. Estimates by sex, locales, region, and by age group are included. In addition, the crude birth rate per 1000 population was estimated at 18.7; the crude death rate per 1000 population was 6.5. For the natural growth rate the estimate was at 1.2%, and the infant mortality rate was 25.0 per 1000 live births. In terms of life expectancy at birth, the estimate for males was 69.9 years, while for females it was 74.9 years. Additional years in life expectancy at age 60 were 20.3 years for males and 23.9 years for females. The total fertility rate per woman is 1.98, and contraceptive prevalence is 72.2%. The demographic data will be disseminated to Thai and international population researchers and planners.     

The demographic transition in the Korean peninsula, 1910-1990: South and North Korea compared

North and South Korea have both experienced demographic transition and fertility and mortality declines. The fertility declines came later in North Korea. In 1990, the population was 43.4 million in South Korea and 21.4 million in North Korea and the age and sex compositions were similar. This evolution of population structure occurred despite differences in political systems and fertility determinants. Differences were in the fertility rate and the rate of natural increase. The total fertility rate was 2.5 children in North Korea and 1.6 in South Korea. The rate of natural increase was 18.5 per 1000 in North Korea and 9.8 in South Korea. Until 1910, the Korean peninsula was in the traditional stage characterized by high fertility and mortality. The early transitional stage came during 1910-45 under the Japanese annexation. Health and medical facilities improved and the crude birth rate rose and then declined. With the exception of the war years, population expanded as a function of births, deaths, and international migration. Poor economic conditions in rural areas acted as a push factor for south-directed migration, migration to Japan, and urban migration. Next came the chaotic stage, during 1945-60. South Korean population expanded during this period of political unrest. Repatriation and refugee migration constituted a large proportion of the population increase. Although the war brought high mortality, new medicine and disease treatment reduced the mortality rate after the war. By 1955-60, the crude death rate was 16.1 per 1000 in South Korea. The crude birth rate remained high at 42 per 1000 between 1950-55. The postwar period was characterized by the baby boom and higher fertility than the pre-war period of 1925-45. Total fertility was 6.3 by 1955-60. The late transitional stage occurred during 1960-85 with reduced fertility and continued mortality decline. By 1980-85, total fertility was 2.3 in the closed population. The restabilization stage occurred during 1985-90, and fertility declined to 1.6. In North Korea, strong population control policies precipitated fertility decline. In South Korea, the determinants were contraception, rising marriage age, and increased use of abortion concomitant with improved socioeconomic conditions.     

Estimating the completeness of death registration

Summary Death registration statistics, even when incomplete, can provide valuable information about mortality. In particular, the age structure of deaths can be used to estimate the completeness of registration, provided that this completeness does not vary substantially with age. Two methods of estimating the completeness of death registration from the distribution of deaths by age are described. The first is derived from stable population theory and requires an estimate of the rate of natural increase of the population, as well as assuming stability. However, the technique can also be used to generate simultaneously estimates of the rate of natural increase and of death registration completeness. The second method which requires two census age distributions and intercensal deaths by age, estimates the relative enumeration completeness of the two censuses as well as the completeness of death registration and requires only that the population be closed. Results are sensitive to overstatement of age. The methods are illustrated by being applied to figures from Thailand for the period 1960-70 and are found to work satisfactorily.     

Population statistics] as of Oct 1, 1995

The publication of these statistics is part of an effort to provide current demographic estimates for Thailand every three months. The tabulated data pertain to October 1995. Estimates are provided for the following demographic measures: total population (59,627,000); male population (29,796,000); female population (29,831,000); urban population (18,830,000); rural population (40,797,000); population by region: northern region (11,978,000), northeastern region (19,413,000), southern region (7,464,000), central region excluding Bangkok Metro (12,936,000), and Bangkok Metropolis (7,836,000); population by age group: under 15 years (17,172,000), 15-59 years (38,102,000), 60 and over (4,353,000), 6-21 years (19,939,000), 18 years and over (38,528,000), 20 years and over (36,259,000), and women aged 15-44 years (15,393,000); crude birth rate per 1000 population (17.6), crude death rate per 1000 population (5.2); natural growth rate (1.2%); infant mortality rate per 1000 live births (30.8); male life expectancy at birth (66.6 years); female life expectancy at birth (71.7 years); male life expectancy at age 60 (18.8 years); female life expectancy at age 60 (22.0 years); total fertility rate (1.95); contraceptive prevalence rate (74.0%); and projected population for the year 2012 (71,860,000). A chart gives the estimated percentage of cumulative deaths from AIDS by age group in 2000 and 2005.     

Neo-natal and post-neo-natal mortality in a rural area of Bangladesh

Abstract An analysis of neo-natal and post-neo-natal mortality in 132 villages (population of 117,000) of Matlab thana indicates the following: (i) Neo-natal deaths accounted for 60% of the infant mortality rate of 125. This proportion was unexpectedly high since previous research had maintained that in countries with infant mortality rates over 100, neo-natal deaths account for less than one-third of all infant deaths. Since the present findings on the proportions of neo-natal deaths correspond exactly with results from an earlier registration system in East Pakistan, it is suggested that the long-accepted proposition, 'less developed' areas are characterized by lower proportions of neo-natal deaths than 'more developed' areas, be re-examined. (2) The infant death rate accounts for 36% of all deaths in the population. If the infant death rate were reduced by half the result would be a decrease in the current crude death rate from 16 to 13. Although this reduction would appear to be small, in the context of a current high growth rate of 3% (from 1966-67 to 1968-69) it exerts a sizeable impact. For example, it would take a reduction of eight points in the crude birth rate of 46 just to achieve a growth rate 2·5% under these circumstances. Obviously, continued efforts in death control without an effective birth control programme will perpetuate high rates of growth. (3) Neo-natal and post-neo-natal mortality exhibited the -expected 'U' shaped pattern with parity, and generally varied as expected with age and family size, except in the oldest age group and largest family size where the risk was smaller than in the preceding groups. An explanation for these findings is presented, based on the effect that births to high-parity women with low child mortality have upon the total neo-natal and post-neo-natal mortality rates. It was found that these births exhibit a much lower mortality risk than births to women of comparable parities and higher child mortality, and that their numbers account for the lower risk to the births in the oldest age group and largest family size. It was concluded that women with a combination of high parity and low child mortality most probably represent a group with superior socio-economic and or health conditions which contribute to the lower risk of neo-natal and post-neo-natal death.     

Maternal mortality in South Africa: lessons from a case study in the use of deaths reported by households in censuses and surveys

South Africa is unique in being a developing country which has asked questions on pregnancy-related deaths in both its 2001 census and 2007 household survey, and monitors maternal and pregnancy-related mortality through vital registration and a confidential enquiry into maternal deaths. These sources of data provide a wide range of estimates of maternal mortality for the country. This paper examines these estimates to assess to what extent the differences between them are due to data deficiencies, methodological deficiencies or definitional differences. The results show that since maternal deaths are relatively rare it is fairly difficult to establish the maternal mortality rate with a great degree of accuracy in a setting where data are less than perfect. They also show that to some extent the differences are due to differences and errors in processing of data but that pregnancy-related mortality should not be treated as synonymous with maternal mortality. However, after adjustment, pregnancy-related mortality from vital registration was comparable with the level that may be expected using several alternative approaches, while the rate reported by households in census and surveys was about double that from vital registration. Nonetheless, all the data indicate an upward trend in maternal mortality that is in keeping with the impact of the HIV/AIDS epidemic, which is likely to have contributed to the discrepancies.     

Atechnique for estimating life expectancy with crude vital rates

This paper describes a method of estimating life expectancy at birth on the basis of crude vital rates. The method is derived from stable population theory and it furnishes good estimates insofar as the current crude vital rates of a population are close to its intrinsic rates. This condition is generally met in closed populations which have not experienced sharp movements in fertility. The method is useful for estimating life expectancy in developing nations with good sample registration systems but for which information on age is of poor quality. It is also useful for estimating the movement of life expectancy in certain European nations in the period prior to regular census taking. There are a number of nations and regions in Europe for which long series of birth and death rates are available but for which census age counts are widely spaced.     

Infant mortality in the Marshall Islands

Levy and Booth present previously unpublished infant mortality rates for the Marshall Islands. They use an indirect method to estimate infant mortality from the 1973 and 1980 censuses, then apply indirect and direct methods of estimation to data from the Marshall Islands Women's Health Survey of 1985. Comparing the results with estimates of infant mortality obtained from vital registration data enables them to estimate the extent of underregistration of infant deaths. The authors conclude that 1973 census appears to be the most valid information source. Direct estimates from the Women's Health Survey data suggest that infant mortality has increased since 1970-1974, whereas the indirect estimates indicate a decreasing trend in infant mortality rates, converging with the direct estimates in more recent years. In view of increased efforts to improve maternal and child health in the mid-1970s, the decreasing trend is plausible. It is impossible to estimate accurately infant mortality in the Marshall Islands during 1980-1984 from the available data. Estimates based on registration data for 1975-1979 are at least 40% too low. The authors speculate that the estimate of 33 deaths per 1000 live births obtained from registration data for 1984 is 40-50% too low. In round figures, a value of 60 deaths per 1000 may be taken as the final estimate for 1980-1984.     

Estimation Of The Birth Rate For The Congo Through Nonconventional Techniques

This paper attempts to produce a set of alternative estimates of birth rates for the Congo and for its main regions through nonconventional techniques. The main body of data used for this purpose is supplied by the demographic survey undertaken during 1955-57. Two types of information on fertility are produced by this survey: (1) births to women by age during the 12 months preceding the survey and (2) children-ever-born to women by age. The available data, while reliable in certain respects, are deficient in others. Thus, the reports on children born during the year preceding the survey are acceptably accurate for the children who have survived but are insufficient for the children who have died.The task was to make the best possible use of various reliable pieces of information directly or indirectly related to fertility, in order to produce some reasonably acceptable estimate of birth rate. One procedure consisted of correcting the reported birth rate for the omission of infant deaths; another procedure involved the adjustment of the reported birth rate with reference to the mean parity of women. In addition to these, an estimate of birth rate was derived by means of stable population technique from the proportion of children under 5 years of age.Three sets of estimates of birth rate, then, have been produced. They yielded a high agreement for the country as a whole, as well as for the provincial and district levels. These estimates were then compared with the proportion of childless women and the proportion of children-the latter having been derived from the records of "continuous registration of inhabitants," a source of information which is completely independent of the demographic survey of 1955-57. Again, a reasonable agreement has been found among all these estimates.Statistical evidence examined in this paper supports a birth rate of about 45 per 1,000 for the Congo. The analysis reveals a high regional variation in birth rate: from 20 per 1,000 (Bas Uele) to 60 per 1,000 (Kivu). This variation is consistent with the variation in sterility level as evidenced by the proportion of women never having had a live birth. The proportion of childlessness varies from 5 percent (Kivu) to about 40 percent (Bas Uele) for women past child-bearing age.     

How many children? – Fixing total annual births as a population control policy

Traditional family planning's emphasis on manipulating the total fertility rate often results in erratic number of births which disrupts school enrollment and labor supply. Fixing total annual births to a permanently lower level will avoid such repeated disruptions and can eventually lead to a lower stationary population with annual deaths equal to the fixed annual births. If allocation of the fixed birth quotas is conditional upon deaths, each death can be converted to a variable number of inheritable and tradable birth quotas. Tradable birth coupons allow families to have the number of children they want and can afford within the overall fixed birth quotas. Inheritable birth quotas provide incentive for higher old-age mortality and consequently less aging in a declining population.     

Characteristics of age composition of China's population]

The age composition of Chinese population is analyzed via data collected in the 1982 census, which has been the basis for planning the social and economic life of 1 billion people. The census reflected complete population age composition, by birth, mortality and growth rates, from the time of the Liberation in 1949. The 10% sample, based on the national age composition, did not include the 4,240,000 people in military service which, as .42% of the total population, did not constitute a large differential. The population has grown rapidly since 1949. A few years before and after 1960, growth was reduced due to economic conditions, but the overall growth trend remained unchanged. The census showed that since 1970, growth has experienced a downturn, but the decrease was not related to the sudden drop before and after 1960. The census also showed China's population had changed from 1964's primarily young population to an adult population, but the process of population aging is only beginning, with a still relatively young population. China's population is not a stable one. This increase and decrease were greatly influenced by the changes in social and economic conditions. The disparity in age composition caused by these changes has created problems in social life, education, employment, marriage, housing, health, transportation, and cultural facilities. There are large differences in age composition between regions and ethnic groups. The decreases in birth and growth rate of the eastern coastal provinces were more rapid than those of the southwest and northwest regions. The age composition of minority nationalities is considerably younger than the Han people. Factors that influenced age composition characteristics included reduction of the neonatal mortality rate, the rises and falls of economic development, and the work in planned fertility.     

中国人口年龄结构变动对出生率的影响研究

本文利用相关年份的《中国统计年鉴》和人口普查数据,根据粗出生率与总和生育率的关系与特征,构建了人口年龄结构系数及其对粗出生率变动影响的贡献率指标,分析了建国以来人口年龄结构变动对出生率的影响。研究发现：1949—1979年,人口年龄结构变动对出生率的影响很小;1980—1993年,人口年龄结构变动对出生率的影响迅速上升,年龄结构的贡献率增大;1994—2008年,人口年龄结构变动对出生率的影响趋于下降,人口惯性势能在减弱;2009—2011年,受80—90年代出生高峰的影响,人口年龄结构变动对出生率的影响再次凸显,年龄结构的贡献率迅速增大。从年龄别生育率逐年下降的特点,也可以证明近年推动我国人口增长的力量主要是由于年龄结构带来的惯性增长。     

India's population: second and growing

Attention in this discussion of the population of India is directed to the following: international comparisons, population pressures, trends in population growth (interstate variations), sex ratio and literacy, urban-rural distribution, migration (interstate migration, international migration), fertility and mortality levels, fertility trends (birth rate decline, interstate fertility differentials, rural-urban fertility decline, fertility differentials by education and religion, marriage and fertility), mortality trends (mortality differentials, health care services), population pressures on socioeconomic development (per capita income and poverty, unemployment and employment, increasing foodgrain production, school enrollment shortfalls), the family planning program, implementing population policy statements, what actions would be effective, and goals and prospects for the future. India's population, a total of 684 million persons as of March 1, 1981, is 2nd only to the population of China. The 1981 population was up by 136 million persons, or 24.75%, over the 548 million enumerated in the 1971 census. For 1978, India's birth and death rates were estimated at 33.3 and 14.2/1000 population, down from about 41.1 and 18.9 during the mid-1960s. India's current 5-year plan has set a goal of a birth rate of 30/1000 population by 1985 and "replacement-level" fertility--about 2.3 births per woman--by 1996. The acceleration in India's population growth has come mainly in the past 3 decades and is due primarily to a decline in mortality that has markedly outstripped the fertility decline. The Janata Party which assumed government leadership in March 1977 did not dismantle the family planning program, but emphasis was shifted to promote family planning "without any compulsion, coercion or pressures of any sort." The policy statement stressed that efforts were to be directed towards those currently underserved, mainly in rural areas. Hard targets were rejected. Over the 1978-1981 period the family planning program slowly recovered. By March 1981, 33.4 million sterilizations had been performed since 1956 when statistics were 1st compiled. Another 3 million couples were estimated to be using IUDs and conventional contraceptives.