Shifts in household demographics herald economic changes for Thailand

In Thailand, dramatic changes in households and the health status of the population have led to important implications for the economic sector. These changes affect health, education, housing, employment and transportation. A new book on the economic impact of demographic change by Andrew Mason and Burnham O. Campbell is referred to as a full discussion of the issues. National planning and projections must include household characteristics as well as numerical projections. The analysis of Mason and Campbell is summarized in this article. Important changes are occurring in the size, rate of growth, and age structure of Thailand's population. Life expectancy has risen to 63 years for men and 68 years for women. Fertility has fallen to 2 children/woman. Population growth was 1.9% in 1990. In 1990, there were only 1 in 3 under the age of 15, and these numbers are expected to shrink to 1 in 4 by the year 2000. 60% of the population is of working age; this is expected to increase to 65% by the year 2000. The 60 years old population is expected to be 7.5% of the total in the year 2000. The average household has 1.6 children. 96% of households live with a relative. The expectation is that household size will continue to decrease and the number of households will continue to grow. The number of elderly heads of households is expected to rise to 11% by 2010. Households will become "adultified." The policy implications for education are that the school age population will gradually decreases but the number enrolled will increase. Primary school enrollment will stabilize and then decline after 1995. Secondary school enrollment will increase and level off in 2005. Total enrollment will increase from 10.5 million in 1990 to 11.4 million in 2000 and decline to 10.7 in 2015. These changes will allow for improvements in the quality of education and expand educational attainment. In health care, the demand for maternal and child health services will decline; changes will occur in the kinds of medical care needed.     

Using census data for household projections: an overview of results from the HOMES Project

"This article provides an overview of the household projection model HOMES [a computer model developed to forecast the number and characteristics of households] and presents new household projections for six countries--China, Indonesia, Japan, the Republic of Korea, Thailand, and the Philippines. The household projections are based on recently released population projections from The World Bank and on rules governing living arrangements quantified with the latest available census or demographic survey for each country. Growth in the number of households to the year 2030 is projected along with changes in household membership and the dependency burden."     

New household projections for the united states

This paper reviews the methods used to prepare the new household projections for the United States that were recently issued by the Bureau of the Census and examines the effect on the resulting number of households of the assumptions made about future marriages and future proportions of household heads in the population.One population projection series was used, since all series are identical for the adult population. Marriage assumptions were generated by assuming various outcomes of the marriage squeeze (defined as the excess of females relative to the number of males in the main ages at marriage in the next few years). Assumptions about proportions of household heads were generated by assuming, in varying degrees, continuation of recent trends in these proportions.Projected changes in marriage and in the proportions of household heads in the population account for one-fourth to one-third of the projected increase in the number of households; the remaining increase is attributable to projected changes in the size and structure of the adult population. Varying the assumed proportions of household heads produces greater differences in the projected total number of households than does varying the marriage assumptions used here. Nevertheless, the various possible outcomes of the marriage squeeze, as represented by the assumptions used, produce significantly different projections of increases in the number of young husband-wife households.The most striking finding is that by 1985, proportions of household heads among the population not "married, spouse present" may well rise to such a level that over the long term, the smaller the number of persons who marry, the larger will be the number of households.     

U.S. Family Household Momentum and Dynamics: An Extension and Application of the ProFamy Method

The classic headship-rate method for demographic projections of households is not linked to demographic rates, projects a few household types without size, and does not deal with household members other than heads. By comparison, the ProFamy method uses demographic rates as input and projects more detailed household types, sizes, and living arrangements for all members of the population. Tests of projections from 1990 to 2000 using ProFamy and based on observed U.S. demographic rates before 1991 show that discrepancies between our projections and census observations in 2000 are reasonably small, validating the new method. Using data from national surveys and vital statistics, census microfiles, and the ProFamy method, we prepare projections of U.S. households from 2000 to 2050. Medium projections as well as projections based on smaller and larger family scenarios with corresponding combinations of assumptions of marriage/union formation and dissolution, fertility, mortality, and international migration are performed to analyze future trends of U.S. households and their possible higher and lower bounds, as well as enormous racial differentials. To our knowledge, the household projections reported in this article are the first to have found empirical evidence of family household momentum and to have provided informative low and high bounds of various indices of projected future households and living arrangements distributions based on possible changes in demographic parameters.     

State population and household estimates,with age,sex, and components of change: 1981-87

This report contains provisional US state estimates of 1) the resident and civilian populations and of households for July 1, 1987, 2) revised annual population and household estimates for July 1, 1981-1986, and 3) components of population change for the 1980-1987 period. Also shown are annual age estimates and median age of the resident population of states, 1981-1987, by sex for 10-year age groups and selected broad age groups. Florida passed Pennsylvania to become the 4th most populous state in 1987, ranking behind California, New York, and Texas. Alaska and Louisiana both registered population losses for the 1st time this decade, while West Virginia, Oklahoma, and Wyoming again had population declines. Several agriculture-based states--Iowa, North Dakota, and Nebraska--marked another year of population declines. California and Florida each gained more than 2 million persons through net immigration since 1980, and Texas over 1.2 million. The 25-44 year-olds are the most rapidly growing age group in the 1980s, increasing by 23.8%. This age group now constitutes almost 1/3 (31.9%) of the US population. US median age continues to climb upward, increasing from 30 years in 1980 to 32.1 years in 1987. The Northeast continues as the region with the highest median age (33.7) and the highest proportion of elderly (13.5% aged 65 and over). Largely because of changes in the age structure, households increased faster than the total population from 1980-1987 (12% versus 7.4%). The 4 states that lost population between 1980 and 1987--Ohio, Michigan, Iowa, and West Virginia--all had increases in households during the same period. While the Northeast and Midwest together accounted for only 10.8% of national population growth in the 1980-1987 period, they accounted for 26.9% of the national increase in households. California, Texas, and Florida accounted for 52.4% of national population growth from 1980 to 1987, but only for 36.5% of household growth.     

Transitions to Supported Environments in England and Wales Among Elderly Widowed and Divorced Women: The Changing Balance Between Co-Residence with Family and Institutional Care

SUMMARY

In this article we examine changes in the proportion of older widowed and divorced women in England and Wales moving from “independent” to two kinds of “supported” household–supported private households and institutions–during the decades 1971–81 and 1981–91. Our main aim was to see whether observed increases in institutionalisation over this period were the result of a decreased propensity to move to the households of relatives. We used the ONS Longitudinal Study, a record linkage study including individual level data from the 1971, 1981 and 1991 censuses of England and Wales. A multinomial logit model was used to investigate the correlates of transitions from independent to supported private households versus institutions among elderly widowed and divorced women. While the overall rate of transitions to join either supported private households or institutions was largely the same in the two decades, the balance between the two shifted markedly in favour of transitions to institutions. In terms of the limited range of covariates it was possible to consider, owner-occupiers were significantly more likely than tenants to move to supported private households than to institutions.     

Long-term dynamics of household size and their environmental implications

Little is known about the environmental implications of long-term historical trends in household size. This paper presents the first historical assessment of global shifts in average household size based on a variety of datasets covering the period 1600–2000. Findings reveal that developed nations reached a threshold in 1893 when average household size began to drop rapidly from approximately 5.0 to 2.5. A similar threshold was reached in developing nations in 1987. With the notable exceptions of Ireland, and England and Wales in the early 1800s, and India and the Seychelles in the late 1900s, the number of households grew faster than population size in every country and every time period. These findings suggest accommodating housing may continue to pose one of the greatest environmental challenges of the twenty-first century because the impacts of increased housing present a threat to sustainability even when population growth slows. Future research addressing environmental impacts of declining household size could use an adapted IPAT model, I = PHoG: where environmental impact (I) = population × personal goods (P) + households × household goods (HoG).     

The household composition coefficient: A method for measuring inequality in the distribution of childrearing demands among households

A method for measuring distributional inequality was applied to household composition data to document and analyze the trend in the distribution of children and adult among households. Lorenz Curve methodology was used to depict the departure of child-adult living arrangements from absolute equality. Households and children were ranked by a child-adult ratio to capture the trend toward smaller families, single-parent families, and childless households. A Gini Coefficient was calculated to mathematically represent the relative degree of inequality in the distribution of childrearing demands from 1940 to 1980. The results evidence a trend of growing inequality, particularly since 1960, in the distribution of childrearing demands. The measure has application as a social indicator to document the extent to which responsibilities for daily care of children are distributed through the population.     

Population growth trends in India: 1991 census

The decennial census counted the total population of India at 843.931 million as of the sunrise of March 1, 1991. The total is 160.6 million higher than that of a decade earlier in 1981. The actual census count exceeded by 45 million the official projections for 1991 based on the 1971 census. However, the official projections for the same year based on the 1981 census fell short by 7.6 million only. Most of the observed differences are explained by the slower decline in the fertility levels. The population growth ratepeaked during 1971–81, perhaps in 1972–73 (based on the Sample Registration Scheme data). The average annualexponential growth rate declined marginally to 2.11 per cent (4.5%) after having remained at a plateau for the previous two decades of 1961–71 and 1971–81. At this point in time, the fertility and mortality trends indicate that India will reach the replacement level fertility [Net Reproductive Rate of Unity] by the years 2010–2015. It can be said with a greater degree of certainty that the official target of reaching the replacement level fertility by the year 2000a.d. will not be reached. Based on the 1991 census results, it can be said that India will reach the billion mark by the turn of the century. The World Bank projects a population of 1,350 million by the year 2025a.d., and a stationary population of 1,862 million by the year 2150a.d., assuming that the replacement level fertility [Net Reproductive Rate = 1] in India is reached about the year 2015a.d.     

A problem in household composition

"Distinction made between household-persons and household-markers [the person who identifies the family or household as a unit] is formalized in the notion of nested populations. This leads to an extension of the Leslie model into a formulation of growth for both population and households. The extended model involves the matrix presentation of household composition where ratios of household-persons who are age 0, per household-marker, function as surrogate values for fertility rates. The extended model describes change over time in the distribution of population by age, and in the distribution of households by age of household-marker, or household-head. The model involves the inversion of a nonnegative matrix, and is feasible only if it yields, projected over time, nonnegative entries in vectors representing distribution of population by age, and distribution of household-heads by age. Conditions for the feasibility of the extended model are discussed, and a sufficient condition for feasibility over a single interval is identified." (SUMMARY IN FRE)     

Older adults in sub-Saharan Africa living with children and grandchildren

Using data from Demographic and Health Surveys, we examine the composition of households containing older adults in 24 countries of sub-Saharan Africa, with a focus on those living with children and grandchildren. Overall, 59 per cent live with a child and 46 per cent with a grandchild. Men are more likely to live in nuclear households and women in extended households and alone. Regression analyses show that individual-level determinants of household composition differ by sex. For example, living with children and grandchildren is tied to living with a spouse for men, but for women the effect is either not significant or in the opposite direction. Households with an older adult and a grandchild, but no adult children, are common. Usually the adult child lives elsewhere, though about 8 per cent of older adults live with a grandchild who has at least one deceased parent. Older adults are more likely to be living with double-orphans in countries with high AIDS-related mortality.     

Wild foods and household food security responses to AIDS: evidence from South Africa

Wild foods may offer unique benefits to households afflicted by AIDS, providing a nutritious and freely available food source at minimal labour and financial costs. This article presents the results of food security assessments in two rural South African sites. Detailed household dietary recalls from 227 households, combined with qualitative work, explored the association of household AIDS proxies (recent morbidity, mortality and orphan fostering) with household food security and dietary composition. The study found that AIDS-proxy households were significantly more food insecure, and households fostering orphans were both poorer and more food insecure. Wild foods were evident in 40.3% of the 48 h recalls, with significantly greater likelihood of use in households with fostering paternal orphans, and/or with at least one AIDS proxy. Only paternal orphans were significantly associated with likelihood of using wild foods when controlling for household socio-economic status. Qualitative data suggests that households afflicted by AIDS might curtail their use of wild foods due to household labour shortages and stigma. This is unfortunate, as regressions indicate that households using wild foods may be more economically resilient. This may be particularly important for households registering AIDS proxies, due to a demonstrated negative correlation between accumulated household AIDS proxies and household income.     

Racial differences in per capita income, 1960–76: The importance of household size,headship, and labor force participation

Racial differences in average per capita income are decomposed, as are changes over time for both races. The 1960–76 decline in household size accounted for 13 percent of the per capita income inprovement of both races. Whereas real increases in earnings of husbands contributed most to improvements in well-being in husband-wife households, increases in income from sources other than earnings were most important to female headed households. During a period in which a growing proportion of both races resided in female headed households and racial differences in living arrangements widened, the per capita income of female headed households relative to husband-wife households declined.     

National and subnational projections of elderly living arrangements: An application of the net transition probability macrosimulation model

Recently, McDonaldet al. (2006) outlined a new method of projecting living arrangements, households and dwellings at the national and subnational level, using quinquennial census data. The purpose of this paper is to apply this new simulation method to project the composition of elderly living arrangements at the national and subnational level in Australia over the period 2001 to 2016. This study presents projections of living arrangements for Temporal Statistical Districts within New South Wales and for Australia as a whole. Results show a strong increase in the number of the elderly living alone, particularly elderly males. The rate of growth in lone-person households is particularly strong in coastal and regional New South Wales, underlining the importance of capturing subnational differences in probabilities of births, deaths, migration and household movements when producing regional projections of living arrangements. This paper concludes by considering implications of the findings and potential uses of the net transition probability method.     

U.S. Food Insecurity Status: Toward a Refined Definition

United States Department of Agriculture defines food insecure as answering affirmatively to three or more food insecurity questions describing a household’s ability to acquire enough food. Households indicating low levels of food insecurity (one or two affirmative responses) are considered food secure. This paper compares the characteristics of households with one or two positive survey responses (termed marginally secure in this paper) to those with zero positive responses (food secure) and those with three or more positive responses (food insecure). The analysis utilizes Current Population Survey Food Security Supplement data to compare the characteristics and food purchasing of food secure, marginally secure and food insecure households using binomial and multinomial logistic regression and t-tests. Binomial logistic regression models indicate that grouping insecure and marginally secure households together does not change predictors of food insecurity. Multinomial logistic regression models suggest a three category definition of food insecurity is appropriate because there are distinctions among the three categories. There are significant differences in food spending across the groups. Prevalence of U.S. food insecurity and need for food assistance may be underestimated because marginally food secure households are considered food secure. The current measure fails to recognize that marginally secure households may experience poorer quality of life as do food insecure households.     

American Indian household structure and income

We use the 1980 Public-Use Microdata Sample to consider the relationship between household structure and economic well-being among American Indians. We focus on the total U.S. Indian population and on the residents of 19 "Indian states" where there has been relatively little growth in the Indian population by means of changes in racial self-identification. Using Sweet's (1984) scheme of household types, we find that the prevalence among Indians of female-headed households with children is intermediate between that among blacks and whites, but the prevalence of couple-headed households with children is highest among Indians. Racial differences in the distribution of household types and differences in average household size are important determinants of black-white and Indian-white differences in average household income.     

The Rise and Prominence of Skip-Generation Households in Lower- and Middle-Income Countries

Investigations into changes in household formations across lower- and middle-income countries (LMICs) rarely consider skip-generation households. Yet, demographic, social, and economic forces increasingly encourage skip-generation household formations. We examine trends and changes in the prevalence of skip-generation households from 1990 to 2016, examining households, adults aged 60+, and children under 15, across 49 countries using household roster data from Demographic and Health Surveys. Analysis takes place in stages, first describing trends in skip-generation households across countries and next providing explanatory analyses using multilevel modeling to assess whether, and the degree to which, country-level characteristics like AIDS mortality and female labor force participation explain trends in the probability that a household is, or that an individual resides in, a skip-generation household. Results indicate extensive increases in skip-generation households in many LMICs, although there is also variation. The increases and variations are not well-explained by the country-level characteristics in our models, suggesting other underlying reasons for the rise and prominence of skip-generation households across LMICs.     

Changes in household formation and composition in China since the mid-twentieth century

China has experienced great changes in household formation and composition since the mid-twentieth century, and its mean size of households has fallen from 54 persons in 1947 to 3.1 in 2005. Many of these changes, especially those taking place in the early years of the People’s Republic, have not been systematically investigated. This paper examines the impact of China’s major political, social, demographic and economic changes on household formation and composition. The study shows that changes in Chinese households have not followed a simple linear trajectory, but shown, considerable fluctuations. A drastic increase in the number of households and a sharp reduction in the mean size of households were recorded after the land reform in the early 1950s. In the next twenty years, high fertility was promoted by a generally pronatalist environment, and the mean size of households increased. Since the early 1970s, the nationwide family planning campaign has led to a rapid fertility decline and great chanes in kinship structure. The recent rise in rural-urban migration has also resulted in many unprecedented changes, and they have become major forces affecting household formation and family life in contemporary China.     

Circular migration, small-scale logging, and household livelihoods in Uganda

Little is known about the contribution of migrant logging to rural livelihoods in East Africa. In this paper, we analyze logging by circular migrants in land constrained and population dense southwestern Uganda. Drawing on a sample of 180 households, including both migrant and non-migrant households, we describe the demographic and socioeconomic characteristics of migrant loggers, estimate the contribution of migrant logging to household income portfolios, test several hypotheses regarding why households decide to undertake this relatively risky activity, and explore the role of social networks as a determinant of higher incomes for migrant loggers. We find that household endowments of land, labor, and capital are different for migrant logger and comparison group households. Above all, labor endowments appear to be driving decisions to participate in logging. We find support for two migration hypotheses: higher expected incomes and wages at destination; and relative deprivation at origin. We find strong evidence that migrant logging reduces income inequality in the home community.