Infant Mortality and Socioeconomic Status: New Bottle,Same Old Wine

This paper presents the results of an ecological analysis of the relationship between infant mortality and economic status in metropolitan Ohio for the period 1960–2000. The data examined are centered on the five censuses undertaken during this 40-year period. The basic unit of analysis is the census tract of mother’s usual residence, with economic status being determined by the percentage of low income families living in each tract. For each of the five periods covered, census tracts were aggregated into broad income areas and three-year average infant mortality rates were computed for each area, by age, sex, race and exogenous-endogenous causes of death. The most important conclusion to be drawn from the data is that in spite of some very remarkable declines in infant mortality at all class levels since 1960, there continues to be a very clear and pronounced inverse association between income status and infant mortality. Indeed, the evidence indicates that the relationship has become stronger over the years. These observations are applicable for both sexes, for whites and nonwhites, for neonatal and postneonatal deaths, and for both major cause of death groups. It is concluded that while public health programs are important, any progress in narrowing this long-standing differential is unlikely unless ways can be found to enhance the economic well-being of the lower socioeconomic groups.     

A social change index-an objective means to discern and measure the relative current social condition of cities,towns, and their sub-communities

A social change index has been developed in response to a social planning need to have a means whereby the current social pathology of communities may be identified on an objective basis. The index is derived from a combination of social indicators which are reported by census tract by the State of Rhode Island on an annual basis. The index is particularly useful for the inter-decennial years because high mobility rates, particularly in central cities (up to 80% in some areas of these cities), cause census data to be unrepresentative in many instances for these years. In addition to serving as a means to identify social needs and problem areas, the index may be used for priority ranking of need for social program services, program monitoring, and program evaluation. The State of Rhode Island is expected to institute a Committee on Social Statistics among whose primary responsibilities will be to encourage state agencies to publish their social statistics by census tracts in their annual reports. It is presumed, consequently, that a larger number of current social indicators will be available to be included in the social change index and increase its accuracy.     

Population undercount and social science research

The undercount problem in the decennial census has important implication for social science research based directly or indirectly on census data. Because undercount rates (or coverage rates) vary by age, race, residence, and other factors typically studied in social research, important conceptual difficulties arise in using census results to corroborate sampling frames or to validate survey results. Differential undercount, particularly for analyses based on small areas, could produce substantial variability in prevalence rates in cases where the denominators for those rates are derived from the census. Several examples where the undercount problem arises in social science research, including survey research, are considered. The adjustment problem—whether to adjust, how to adjust, and how much to adjust—is also considered from the point of view of social sicence research.     

Altitude, fertility and mortality in Andean countries

Abstract Using the census data for Peru, Bolivia and Ecuador, previous writers have investigated some possible determinants of inter-regional differences in fertility; language spoken, female participation rates, and altitude. This paper points out the many sources of inaccuracy in the census data used. It argues that the indicators of unusually low fertility in the highland, predominantly Indianspeaking areas fail to control effectively for the very high levels of infant mortality in these regions. Fragmentary survey results give some indication of the scale of infant mortality, and appear to refute the idea that fertility is exceptionally low in areas of high altitude. In an attempt to explain why such high mortality rates persist in the Andean region the main health problems of Bolivia are examined. It seems that the causes are economic and social, rather than physiological. Unfortunately a change of policy which reduced death rates would produce grave new social problems.     

1990 censuses to increase use of automation

This article summarizes information from selected reports presented at the 12th Population Census Conference. Ward reports that plans for the 1990 census in many countries of Asia and the Pacific call for increased use of automation, with applications ranging from the use of computer-generated maps of enumeration areas and optical mark readers for data processing to desktop publishing and electronic mail for disseminating the results. Recent advances in automation offer opportunities for improved accuracy and speed of census operations while reducing the need for clerical personnel. Most of the technologies discussed at the 12th Population Census are designed to make the planning, editing, processing, analysis, and publication of census data more reliable and efficient. However, technology alone cannot overcome high rates of illiteracy that preclude having respondents complete the census forms themselves. But it enables even China, India, Indonesia and Pakistan - the countries with huge population and limited financial resources - to make significant improvements in their forthcoming censuses.     

Marketing and Quality of Life: A Model for Improving Perinatal Health Status

Introduction: A marketing/business model using non-traditional Quality of Life measures was developed to assess perinatal health status on a micro-geographic level. This perinatal health status needs assessment study for Georgia South Central Region was conducted for the years 1994–1999. The model may be applied to any geographic unit in the U.S. – from a block group level to a state or a region. Methodology: An Infant Health Risk Score was created for each county and census tract by calculating the Z-scores of various Medical, Lifestyle, and Access variables so as to construct a Quality of Life Index. The scores identified the areas in the region that were at high risk for certain medical, lifestyle, and access variables (i.e., high risk for preterm births, low education levels, and poor access to perinatal services). A marketing tool, Claritas PRIZM Clusters, was used to identify a specific cluster and associated marketing information for each census tract within the region. Results: The Infant Health Quality of Life Risk Scores were linked with the PRIZM cluster marketing data to target areas in the region that exhibit high risk medical, lifestyle, and access scores. Health promotion and disease prevention strategies were developed using a marketing/business model. Specifically, media usage and consumer behavior purchasing patterns were identified and processed for every high risk area in the region. The categories for media usage were television, radio, and magazines and the categories for consumer behavior included restaurants, food items, and shopping locations. Discussion: The Perinatal Region is developing strategies to implement the media usage and consumer behavior marketing information to focus their prevention efforts to the high risk areas in the region based on the Quality of Life Measurements. Linking marketing business tools with a Quality of Life health status needs assessment has significant potential for improving the planning, the evaluation, and the focus of prevention efforts.     

Geographic variation in preventable hospitalization of older women and men: implications for access to primary health care

This study demonstrates how readily available data and small area analysis can be used to identify potential problems of access to primary care services for older women and men. Gender and socioeconomic differences in rates of preventable hospitalization are examined. Using hospital discharge data, five county and twenty-four intra-county areas in Upstate New York are studied. There is significant variation in preventable hospitalization within counties. Areas having significantly higher rates of these hospitalizations tend to have higher rates for both women and men. Problems of access are associated with lower income areas for women and men.     

Marketing and Quality of Life: A Model for Improving Perinatal Health Status

Introduction: A marketing/business model using non-traditional Quality of Life measures was developed to assess perinatal health status on a micro-geographic level. This perinatal health status needs assessment study for Georgia South Central Region was conducted for the years 1994–1999. The model may be applied to any geographic unit in the U.S. – from a block group level to a state or a region. Methodology: An Infant Health Risk Score was created for each county and census tract by calculating the Z-scores of various Medical, Lifestyle, and Access variables so as to construct a Quality of Life Index. The scores identified the areas in the region that were at high risk for certain medical, lifestyle, and access variables (i.e., high risk for preterm births, low education levels, and poor access to perinatal services). A marketing tool, Claritas PRIZM Clusters, was used to identify a specific cluster and associated marketing information for each census tract within the region. Results: The Infant Health Quality of Life Risk Scores were linked with the PRIZM cluster marketing data to target areas in the region that exhibit high risk medical, lifestyle, and access scores. Health promotion and disease prevention strategies were developed using a marketing/business model. Specifically, media usage and consumer behavior purchasing patterns were identified and processed for every high risk area in the region. The categories for media usage were television, radio, and magazines and the categories for consumer behavior included restaurants, food items, and shopping locations. Discussion: The Perinatal Region is developing strategies to implement the media usage and consumer behavior marketing information to focus their prevention efforts to the high risk areas in the region based on the Quality of Life Measurements. Linking marketing business tools with a Quality of Life health status needs assessment has significant potential for improving the planning, the evaluation, and the focus of prevention efforts.     

Population movement and city-suburb redistribution: An analytic framework

This paper introduces an analytic framework that can be used to assess the relationships between individual movement differentials and place characteristics, on the one hand, and aggregate mobility levels and city-suburb population change (in size or composition), on the other. Application of this framework using census data for individual metropolitan areas allows the analyst to decompose population changes due to net migration into contributing mobility streams and their component rates which are subject to unique community and individual influences. The paper provides both theoretical and empirical rationale for the framework, illustrates its use with 1970 census data, and discusses its implications for empirical research on city-suburb population redistribution.     

Metropolitan deconcentration: Subareal inmigration and central city to ring moiillty patterns among southern SMSAs

The analysis of in-migration streams and subareal residential mobility patterns for moves made between 1965 and 1970in SMSAs in the East South Central and South Atlantic census divisions indicates that, despite their historical contexts, these metropolitan areas now show spatial differentiation patterns similar to those of the great cities of the Northeast. The white population has increased in ring areas primarily because of in-migration rates; the black population in the central cities has increased primarily because of in-migration rates to those subareas. Little variation in these patterns across SMSA size categories was apparent.     

1990年以来中国各民族人口教育发展研究——来自人口普查和人口抽样调查数据的分析

运用人口普查和人口抽样调查数据,研究1990年以来各民族人口教育发展状况,考察7～16岁儿童在校率的影响因素。在实证分析的基础上,针对如何促进少数民族人口的教育发展提出政策建议。研究发现,在过去几十年中,少数民族与汉族人口的教育都取得了长足发展。少数民族人口中,未受过初中教育的人口比例高于汉族。不论对少数民族还是汉族,与城镇地区相比,乡村地区初中教育的缺失更加严重。在城镇地区,少数民族与汉族7～16岁儿童在校率相差很少,但在乡村地区仍然存在一些差距。在考虑了地区影响因素后,少数民族与汉族儿童的在校概率差异或者缩小,或者消失,只有满族除外。     

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.     

Trends in the relationship between socioeconomic status and infant mortality in metropolitan Ohio, 1960–1990

This paper presents the results of an ecological analysis of the relationship between infant mortality and economic status in metropolitan Ohio at four points in time centering on the censuses of 1960, 1970, 1980 and 1990. The basic unit of analysis is the census tract of mother's usual residence, with economic status being determined by the percentage of low income families living in each tract. For each period, the census tracts were aggregated into broad income groups and three-year average infant mortality rates were computed for each area, by age, sex, race and exogenous-endogenous causes of death. The most important conclusion to be drawn from the data is that in spite of some very remarkable declines in infant mortality for all socioeconomic groups since 1960, there continues to be a very clear and pronounced inverse association between income status and infant mortality. Indeed, there is some evidence to suggest that it is stronger in 1990 than it was three decades earlier. The general inverse association is observed for both sexes, for whites and nonwhites, and for all major causes of death. At the same time, the data reveal notable variations in the pattern of the relationship over time, as well as several differences between whites and nonwhites in the nature and magnitude of the relationship. Some macro-economic hypotheses are offered to explain these temporal and racial differences in the pattern of the relationship between economic status and infant mortality.This article is an expanded version of a paper presented at the annual meetings of the Southern Demographic Association in New Orleans, 21–23 October 1993.     

Demographic comparison between self-response and personal visit interview in Census 2000

During Census 2000, over 95 percent of the housing units were in mailback areas. In these areas either the United States Postal Service or Census Bureau staff delivered the census questionnaire. In urban and suburban areas of the country, the United States Postal Service delivered the census questionnaires between March 13 and 15 of 2000. The addresses in these areas are predominately city style; house number and street name. In more rural areas of the country with predominately non-city style addresses, Census Bureau staff delivered the questionnaire during March of 2000. Respondents completed their census questionnaires and returned them through the mail. Returns from these housing units are classified as self-response. Respondents which did not complete and return their census questionnaire by April 18, 2000 were interviewed during the nonresponse followup operation (personal visit interview). This paper will examine the demographic characteristics of persons enumerated on the mail return questionnaire (self-response) and the persons enumerated during the nonresponse followup operation (personal visit interview).     

Examination of the generalized age distribution

The formula for the age distribution and other relationships that follow from it for any (non-stable) population presented by Preston and Coale are significant contributions to demography. The formulas summarize the relationships among various demographic measures precisely, and are formally analogous to the relationships that hold for stable populations. The significance of these formulas cannot be overstated; they allow us to understand clearly the relationships among demographic measures in any arbitrary population. However, when it comes to using them for estimating demographic measures when census data are defective, the method of estimation is still affected by defective data. The reason is that the series of age-specific growth rates reflects the observed census age distributions exactly so that any defects in the census data are summarized in the growth rates. This paper begins with the formulation of the discrete version of the "new synthesis" developed by Preston and Coale. With the discrete formulation, the three kinds of errors introduced when the continuous time formulas are applied to real data can be avoided. Then it is pointed out that when two accurate census data are available, the Preston-Coale procedure of "estimating" the age distribution at the second census is equivalent to checking the identity of the age distribution formula. Also "estimating" mortality by the procedure of Preston-Coale is shown to be equivalent to obtaining mortality directly from intercensal survival rates. That the procedure which involves the age-specific growth rates is equivalent to those that involve the intercensal survival rates may have escaped notice because there are no a priori constraints for patterns of age-specific growth rates to follow. The irregularity in growth rates due to defective data are not distinguishable from true irregularity that exists in the population, contrary to the well-known regularity in the pattern of survival rates in human populations.     

The world's biggest census

The purpose of the 3rd national population census, taken 18 years after "New China's" 2nd census, was to ascertain accurate population figures for China and the spatial population distribution in order to carry out socialist modernization, improve the people's material and cultural lives, and draw up a population policy and program in light of China's actual conditions. The census questionnaire contained 19 items, including 13 for individuals; and 6 items about the household. Preparations for the census began at the end of 1979 even though the census would not begin until July 1, 1982. The preparatory stage included: drafting the Census Statute; conducting pilot censuses in certain areas; rectifying household registration; installing computers; training computer technicians; convening national census work conference and similar conferences at various levels; selecting and training field census workers; printing census forms; and conducting widespread publicity. Pilot censuses were conducted at central, provincial, and county levels in order to draw useful experience for the nationwide census. A large number of census workers were selected and trained. Among them were about a million staff members working in census offices at various levels, 1000 computer technical personnel, 4000 data entry personnel, 100,000 coders, and 1 million census supervisors. 8 million cadres and volunteers at the grassroots actively helped conduct the census. Enumeration and verification was completed between July 1 and July 15, 1982. The postenumeration check on a sample basis showed only a net overcount of 0.15/1000 with an overcount of 0.71/1000 and an undercount of 0.56/1000. All levels of the government, the Communist Party, Trade Unions, and Women's Federations were mobilized to take part in the census, and all mass media were utilized. All census information will be finally tabulated by computers before the end of 1984, and census reports will be compiled and submitted to the State Council for examination before they are published.     

Evaluation of the results of China's 1982 population census and the problems raised by the IUSSP Florence Conference]

The author discusses the evaluation by IUSSP members of China's 1982 population census and outlines questions raised at the 1985 conference in Florence. While the quality of the census data was generally favorably assessed by those attending the workshop, the following points were made: The population size, obtained by summing all age groups, is inconsistent with the total population recorded in the census; fertility, mortality, and national growth rates for the Chinese population over the years are different in various official publications; and the sex ratio, 1.08:1 in 1981, may be caused by underreporting.     

Spatial Disaggregation of Social Indicators: An Info-Metrics Approach

In this paper we propose a methodology to obtain social indicators at a detailed spatial scale by combining the information contained in census and sample surveys. Similarly to previous proposals, the method proposed here estimates a model at the sample level to later project it to the census scale. The main novelties of the technique presented are that (i) the small-scale mapping produced is perfectly consistent with the aggregates -regional or national- observed in the sample, and (ii) it does not require imposing strong distributional assumptions. The methodology suggested here follows the basics presented on Golan (2018) by adapting a cross-moment constrained Generalized Maximum Entropy (GME) estimator to the spatial disaggregation problem. This procedure is compared with the equivalent methodology of Tarozzi and Deaton (2009) by means of numerical experiments, providing a comparatively better performance. Additionally, the practical implementation of the methodology proposed is illustrated by estimating poverty rates for small areas for the region of Andalusia (Spain).

     

Comparison of Census 2000 and American Community Survey 1999–2001 Estimates: San Francisco and Tulare Counties, California

Data from the United States 2000 decennial census long form sample is compared to the U.S. Census Bureau’s fledgling American Community Survey (ACS) that was designed to replace the census long form in 2010. This article concentrates on two California counties, San Francisco and Tulare, which were part of the demonstration phase of the ACS. These counties are described and an overall comparison of the demographic, social, economic, and housing variables is presented. The project data and measures of census and survey quality such as self-response rates and nonresponse rates are displayed and discussed. Differences in the census and survey results are noted in the context of statistically significant and meaningful differences. Finally, strategies for analyzing and using ACS data are suggested.     

Census enumeration in remote Australia: Issues for aboriginal data analysis

Given the crucial role played by census data in informing economic and social policies directed at the Aboriginal population in remote areas, some assessment of the quality of remote area data is required as these are derived from enumeration procedures which differ fundamentally from the standard approach employed in the census. This paper discusses the remote area census enumeration strategy employed by the Australian Bureau of Statistics (ABS), with a particular focus on the Northern Territory, and highlights possible implications for the interpretation of census counts and census characteristics.