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The US fertility transition in the nineteenth century is unusual. Not only did it start from a very high fertility level and very early in the nation’s development, but it also took place long before the nation’s mortality transition, industrialization, and urbanization. This paper assembles new county-level, household-level, and individual-level data, including new complete-count IPUMS microdata databases of the 1830–1880 censuses, to evaluate different theories for the nineteenth-century American fertility transition. We construct cross-sectional models of net fertility for currently-married white couples in census years 1830–1880 and test the results with a subset of couples linked between the 1850–1860, 1860–1870, and 1870–1880 censuses. We find evidence of marital fertility control consistent with hypotheses as early as 1830. The results indicate support for several different but complementary theories of the early US fertility decline, including the land availability, conventional structuralist, ideational, child demand/quality-quantity tradeoff, and life cycle savings theories.

This chapter uses the historian’s method of micro-history to rethink the significance of the Supreme Court decision Muller v. Oregon (1908). Muller is typically considered a labor law decision permitting the regulation of women’s work hours. However, this chapter argues that through particular attention to the specific context in which the labor dispute took place – the laundry industry in Portland, Oregon – the Muller decision and underlying conflict should be understood as not only about sex-based labor rights but also about how the labor of laundry specifically involved race-based discrimination. This chapter investigates the most important conflicts behind the Muller decision, namely the entangled histories of white laundresses’ labor and labor activism in Portland, as well as the labor of their competitors – Chinese laundrymen. In so doing, this chapter offers an intersectional reading of Muller that incorporates regulations on Chinese laundries and places the decision in conversation with a long line of anti-Chinese laundry legislation on the West Coast, including that at issue in Yick Wo v. Hopkins (1886).

Using microdata from the 2000 US Census, we analyze the responses of Mexican Americans to questions that independently elicit their “ethnicity” (or Hispanic origin) and their “ancestry.” We investigate whether different patterns of responses to these questions reflect varying degrees of ethnic attachment. For example, those identified as “Mexican” in both the Hispanic origin and the ancestry questions might have stronger ethnic ties than those identified as Mexican only in the ancestry question. How US-born Mexicans report their ethnicity/ancestry is strongly associated with measures of human capital and labor market performance. In particular, educational attainment, English proficiency, and earnings are especially high for men and women who claim a Mexican ancestry but report their ethnicity as “not Hispanic.” Further, intermarriage and the Mexican identification of children are also strongly related to how US-born Mexican adults report their ethnicity/ancestry, revealing a possible link between the intergenerational transmission of Mexican identification and economic status.

In this paper, we use data from the US census to document the history of the relationship between fertility choice and key economic indicators at the individual level for women born between 1826 and 1960. We find that this data suggests several new facts that should be useful for researchers trying to model fertility. (1) The reduction in fertility known as the Demographic Transition (or the Fertility Transition) seems to be much sharper based on cohort fertility measures compared to usual measures like Total Fertility Rate; (2) The baby boom was not quite as large as is suggested by some previous work; (3) We find a strong negative relationship between income and fertility for all cohorts and estimate an overall income elasticity of about −0.38 for the period; (4) We also find systematic deviations from a time invariant, iso-elastic, relationship between income and fertility. The most interesting of these is an increase in the income elasticity of demand for children for the 1876–1880 to 1906–1910 birth cohorts. This implies an increased spread in fertility by income which was followed by a dramatic compression.

The purpose of this paper is to use a linked-farm approach and a cohort approach to estimate farm entry and exit rates using the US Census of Agriculture. The number of new farms entering agriculture was re-estimated and adjusted upward since not all new and beginning farmers are known to US Department of Agriculture.

In addition to a linked-farm approach (linking farms over time), a cohort approach (farms that started operating in the same year) is used to determine exit rates conditional on the number of years a farm has been operating. Linear forecasting, moving-average forecasting, and using data from a later Census are used to re-estimate the number of new farms in their first year of operating.

Using the linked-farm approach, an average annual entry rate of 7.5 percent and exit rate of 8.5 percent is estimated for 2007 to 2012, which vary based on the farmer’s lifecycle. The cohort approach shows that exit rates are lower than 4 percent for the first 40 years of operating a farm business and then exit rates gradually increase. Revised estimates of approximately 70-80,000 new farms entering each year are calculated, which are considerably higher numbers than the 30-40,000 new farm entrants participating in the Census of Agriculture.

The linked-farm and cohort approaches are used to provide updated estimates for farm entry and exit using new Census data and to make comparisons with previous years. To the authors’ knowledge, this is the first study to provide revised estimates for new farm entrants into US agriculture.

This article seeks to demonstrate a technique for using a Geographic Information System (GIS) to analyze US Census data to better understand potential library users and improve library service planning.

A GIS was used to link variables such as age, race, income, and education from the 2000 US Census with service area maps of two proposed branch libraries. Thematic maps were created for each of the census variables to display demographic information about potential library users within a three‐mile radius of the proposed libraries.

The GIS maps and their associated attribute data enhanced the ability to analyze and compare the demographics of potential users in the two library areas and identify significant differences. The data on age, race, education and income for residents in the two areas were combined with known library use indicators to help plan library services with the potential to attract different populations in the local community.

Provides practical information about downloading US Census data into a GIS to be able to present demographic data about potential library users both visually and quantitatively.

This study examines a sharp decline of school attendance among white children in the Southern US after the Civil War. According to Census data, the school-attendance rate among whites in the Confederate states declined by almost half from 1860 to 1870, whereas the rate in Northern states was approximately stable. This shock left the South approximately three decades behind its antebellum trend. We account for little of this drop with household variables plausibly affected by the War. However, a select few county-level variables (notably the drop in wealth) explains around half of the decline, which suggests a systemic explanation. We adopt a model-based approach to decomposing the decline in schooling into demand versus supply factors. On the supply side, the region saw a decline in wealth and public resources, but we observe a stable relationship between time in school and literacy or adult occupation, which is not consistent with a contracting constraint on school quantity or quality. Nevertheless, further research is required to determine how much the contraction in school access affected attendance. On the demand-side, we present suggestive evidence of a decline in the return to school (measured by the relative wage of engineers to laborers). Relatedly, we see a “brain drain”: in longitudinally linked census samples, educated Southerners were more likely to migrate out of the South after the War.

In the United States, many arguments for mass transport often focus on its benefits to the environment or in terms of congestion relief. This chapter instead looks at direct micro-scale and meso-scale economic and social benefits by identifying occupations, industries, and demographic groups that are both growing and can benefit from transit. In using this form of local-scale identification of unique economic circumstances, government planners, elected officials, and academics can create a practical, GIS-focused approach to increase the utility and acceptance of mass transportation in the United States.

Using a GIS-based approach with US Census and US Labor Department data, the chapter focuses on local growth sectors in the economy, then identifying their transit-usage patterns. Additionally some GIS are used to identify concentration areas of both occupations and transit usage, along with areas of likely employment for those individuals. Locally this creates “micro-climates” or hot spots for favorable views and usage of transport. These micro-climates can be duplicated in other similar areas to increase utilization, and therefore return on investment, of public transportation.

For denser areas, affluent downtowns, and areas which are accessible to hospitals and universities, the primary growth engines of the current US labor market, transit has a positive correlated relationship. Additionally, recent immigrant groups, particularly those with limited English speaking ability, have also shown a correlated growth in transit usage. By identifying these areas with GIS, transit can better align its services to needs and improve it return on investment.

The United States has had a fifty-year-long negative view of public transport outside of major urban areas. By identifying groups with positive correlated use of transit, the return on investment and public perception of its use and environmental sustainability can mesh with land use planning and perceived quality of the service. In so doing, transit use may be encouraged.

The United States is faced with very high petrol prices relative to its history, and somewhat lesser incomes among its sub-age-30 work cohorts. This has encouraged density. However, in order to provide for this increased demand, there must be an increase in both supply and politically perceived value in its investment. This chapter seeks to be an early pragmatic model in valuing public transport at a local level.

The purpose of this paper is to assess whether additional information about a community’s level of social capital can help to better predict a return rate from that area, in order to better target resources to improve mail-in responses.

Two-sample two-stage least squares is used to apply determinants of six different measures of social capital from the Social Capital Community Benchmark Survey to observations in the Decennial Census (DC) which are then aggregated to the census tract level. The probability of a census tract having a high level of each social capital measure is estimated. Multivariate regression is used to identify the importance of high community social capital for predicting census mail-in return rates.

The analysis reveals that a higher level of trust contributes the most to increasing return rates and a high level of political activism decreases return rates. Additionally, higher levels of sociability contribute negatively to DC return rates, which is consistent with sociability being linked to a more insular (i.e. family and friends) focus.

While contributing statistically significantly to the predictability of census tract response rates, the cost of acquiring measures of social capital for each census tract may not to be viewed worth the gain in predictive power.

Higher levels of trust contribute positively to survey participation, suggesting that any social, economic or political environment that diminishes trust will undercut civic engagement. Political activism and (insular) sociability decrease participation.

This paper combines non-public and public data to obtain measures of social capital along more dimensions than are typically studied, and finds that not all types of social capital are related to feelings of social integration in the same way.