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.     

The American Community Survey: general commentary on the findings from external evaluations

As part of the Census Bureau’s effort to prove the operational feasibility of the American Community Survey (ACS), the Bureau contracted with local experts to conduct comparative analyses of the 1999–2001 ACS estimates with the 2000 Census data for various test counties. One of the goals of the ACS is to replace the decennial census long form. The resulting research papers analyzed various quality measures (response rates, allocation rates, and so on), conceptual differences in the two instruments, and statistical reliability in an effort to add to our assessment of the ACS as an adequate replacement instrument for collecting long form data. This paper discusses the results of these four research efforts and presents conclusions and recommendations for further Census Bureau action and research. The quality of traditional long form data, the importance of accurate population estimates and an accurate Master Address File (MAF), and continued research on the quality of small area data are discussed.     

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).     

An evaluation of the American Community Survey: results from the Oregon test site

The American Community Survey (ACS) is a Census Bureau product designed to provide accurate and timely demographic and economic indicators on an annual basis for both large and small geographic areas within the United States. Operational plans for Census 2010 call for ACS to replace the decennial census long form (Census LF), pending the results of evaluation studies. This plan represents a major change in that variables that traditionally have been collected on a “snapshot” basis once every 10 years would be collected on a “rolling” annual basis. Using a loss function analysis and other tools, this paper reports preliminary findings from a comparison of ACS and Census 2000 results in Multnomah County, Oregon, one of five national “local expert” test sites set up to compare ACS data collected at the time of Census 2000. The preliminary findings suggest that there are notable differences between some of the corresponding variables found in the ACS and Census LF that require more detailed examination. For example, the loss function analysis reveals notable differences for race and disability variables. In other comparisons of corresponding variables between ACS and Census 2000, differences are found within each of the four major areas of interest: (1) demographic characteristics, (2) social characteristics, (3) economic characteristics, and (4) housing characteristics, with housing characteristics showing the least similarity overall. These results also suggest that more detailed examinations are needed to understand differences between corresponding variables collected by ACS and the Census LF.     

American Community Survey overview and the role of external evaluations

In 2010 the U.S. Census Bureau will achieve its goal of eliminating the long form sample from the decennial census and will produce its first set of five-year data products from the full sample American Community Survey (ACS). This paper provides an overview of the call for change that prompted the Census Bureau to pursue the development of a new approach to collecting socioeconomic and housing data. The paper details the evolution of the ACS from its earliest origins to its current design and describes that design in detail. The current design has benefited from external debate and consultation. Work such as that described later in this journal exemplifies the key role that external users and advisors have played, and will continue to play, in the evolution of the ACS. Over the past 10 years, the Census Bureau has undertaken research and testing to demonstrate operational feasibility and to assess survey quality. Research has also compared ACS and Census 2000 data. ACS staff are involved in survey improvement efforts and continue to confront survey challenges. In the next few years the ACS will give priority to developing user tools to aid all users in the correct interpretation of multi-year estimates. The ultimate validation of the ACS is, however, in the hands of users. Continued input from the people who are responsible for administering and evaluating programs, identifying local needs, and planning for the future will allow the ACS to grow in value and utility.     

The American Community Survey in counties with “seasonal” populations

The U.S. Census Bureau designed the American Community Survey (ACS) to provide annual estimates of social and economic characteristics for states, counties, municipalities, census tracts, and block groups. Because of its April 1 reference date, in northern nonmetropolitan counties with substantial seasonal population fluctuations the decennial census provides a statistical representation of the demographic and social characteristics of the population at a time when the population is close to its annual minimum. The year-round monthly ACS sample survey has the potential to provide local communities with an unprecedented understanding of the average population characteristics over the course of a year. In the future, the ACS even has the potential for providing social and economic characteristics of the population by season. This paper examines four ACS pilot data collection counties, Oneida and Vilas Counties in northern Wisconsin, and Lake and Flathead Counties in northwest Montana. We hypothesize that the ACS will reflect a resident population over the course of the year that is different from the traditional April 1 decennial census population. While the ACS holds much promise, our research uncovered some sampling problems that are not yet fully resolved. In addition, our analysis was not able to examine ACS estimates for minor civil divisions (MCDs), which are functioning governmental units in many states. The fact that these MCDs often have very small populations, together with the fact that estimated standard errors at the much larger census tract level in these counties are disconcertingly large, raises (currently unanswerable) questions concerning the eventual statistical quality of ACS estimates for small MCDs. Consequently, the adequacy of the ACS as a replacement for the census long form may depend on the ability of the Census Bureau to effectively address the concerns presented in this analysis.     

An Evaluation of Persons per Household (PPH) Estimates Generated by the American Community Survey: A Demographic Perspective

The American Community Survey (ACS) is a U.S. Census Bureau product designed to provide accurate and timely demographic and economic indicators on an annual basis for both large and small geographic areas within the United States. Operational plans call for ACS to serve not only as a substitute for the decennial census long-form, but as a means of providing annual data at the national, state, county, and subcounty levels. In addition to being highly ambitious, this approach represents a major change in how data are collected and interpreted. Two of the major questions facing the ACS are its functionality and usability. This paper explores the latter of these two questions by examining “persons per household (PPH),” a variable of high interest to demographers and others preparing regular post-censal population estimates. The data used in this exploration are taken from 18 of the counties that formed the set of 1999 ACS test sites. The examination proceeds by first comparing 1-year ACS PPH estimates to Census 2010 PPH values along with extrapolated estimates generated using a geometric model based on PPH change between the 1990 and 2000 census counts. Both sets of estimates are then compared to annual 2001–2009 PPH interpolated estimates generated by a geometric model based on PPH from the 2000 census to the 2010 census. The ACS PPH estimates represent what could be called the “statistical perspective” because variations in the estimates of specific variables over time and space are viewed largely by statisticians with an eye toward sample error. The model-based PPH estimates represent a “demographic perspective” because PPH estimates are largely viewed by demographers as varying systematically and changing relatively slowly over time, an orientation stemming from theory and empirical evidence that PPH estimates respond to demographic and related determinants. The comparisons suggest that the ACS PPH estimates exhibit too much “noisy” variation for a given area over time to be usable by demographers and others preparing post-censal population estimates. These findings should be confirmed through further analysis and suggestions are provided for the directions this research could take. We conclude by noting that the statistical and demographic perspectives are not incompatible and that one of the aims of our paper is to encourage the U.S. Census Bureau to consider ways to improve the usability of the 1-year ACS PPH estimates.     

An Application of Bayesian Methods to Small Area Poverty Rate Estimates

Efforts to estimate various sociodemographic variables in small geographic areas are proving difficult with the replacement of the Census long-form with the American Community Survey (ACS). Researchers interested in subnational demographic processes have previously relied on Census 2000 long-form data products in order to answer research questions. ACS data products promise to begin providing up-to-date profiles of the nation’s population and economy; however, unit- and item-level nonresponse in the ACS have left researchers with gaps in subnational coverage resulting in unstable and unreliable estimates for basic demographic measures. Borrowing information from neighboring areas and across time with a spatiotemporal smoothing process based on Bayesian statistical methods, it is possible to generate more stable and accurate estimates of rates for geographic areas not represented in the ACS. This research evaluates this spatiotemporal smoothing process in its ability to derive estimates of poverty rates at the county level for the contiguous United States. These estimates are then compared to more traditional estimates produced by the US Census Bureau, and comparisons between the two methods of estimation are carried out to evaluate the practical application of this smoothing method. Our findings suggest that by using available data from the ACS only, we are able to recreate temporal and spatial patterns of poverty in US counties even in years where data are sparse. Results show that the Bayesian methodology strongly agrees with the estimates produced by the SAIPE program, even in years with little data. This methodology can be expanded to other demographic and socioeconomic data with ease.     

Comparing the U.S. Decennial Census Coverage Estimates for Children from Demographic Analysis and Coverage Measurement Surveys

Following every U.S. decennial census since 1960, the U.S. Census Bureau has evaluated the completeness of coverage using two different methods. Demographic analysis (DA) compares the census counts to a set of independent population estimates to infer coverage differences by age, sex, and race. The survey-based approach (also called dual system estimation or DSE) provides coverage estimates based on matching data from a post-enumeration survey to census records. This paper reviews the fundamentals of the two methodological approaches and then initially examines the results of these two methods for the 2010 decennial census in terms of consistency and inconsistency for age groups. The authors find that the two methods produce relatively consistent results for all age groups, except for young children. Consequently, the paper focuses on the results for children. Results of the 1990, 2000, and 2010 decennial censuses are shown for the overall population in this age group and by demographic detail (age, race, and Hispanic origin). Among children, the DA and DSE results are most inconsistent for the population aged 0–4 and most consistent for ages 10–17. Results also show that DA and DSE are more consistent for Black than non-Black populations. The authors discuss possible explanations for the differences in the two methods for young children and conclude that the DSE approach may underestimate the net undercount of young children due to correlation bias.     

Inferring Directional Migration Propensities from the Migration Propensities of Infants in the United States

Beginning with the 2010 decennial census, the U.S. Census Bureau plans to drop its long-form questionnaire and to replace it with the American Community Survey (ACS). The resulting absence of the larger sample provided by the census count will complicate the measurement and analysis of internal migration flows. In addition, the strategy of averaging accumulated samples over time will mix changing migration patterns. The migration question will refer to a one-year time interval instead of the five-year interval used in the censuses between 1960 and 2000, complicating historical comparisons and the production of multiregional projections based on five-year age groups. Consequently, students of territorial mobility increasingly will find it necessary to complement or augment possibly inadequate data collected on migration with estimates obtained by means of “indirect estimation.” A method is presented that allows one to infer age-specific directional migration propensities at the regional level from birthplace-specific infant population data, which approximates infant migration propensities, and from these infers the migration propensities of all other ages. The method is applied to at the nine-division spatial scale.     

Misclassifying New York’s Hidden Units as Vacant in 2010: Lessons Gleaned for the 2020 Census

The Local Update of Census Addresses (LUCA) program allowed local governments to include hard-to-find units in the Census Bureau’s Master Address File (MAF), which is the cornerstone of the mailout/mailback decennial census. These improvements have allowed the Census Bureau to penetrate the more marginal parts of the housing stock, where units are often not formally labeled, and where their very existence can be difficult to determine. In New York City, where address updating included two rounds of LUCA, the Census Bureau acknowledged an increase of 170,000 housing units between 2000 and 2010. However, there was a dramatic growth in vacant units, equivalent to almost one-half of the total increase in housing units. The increase in vacant units was disproportionately concentrated in 2 of the 18 local census offices in New York City. The paper uses local administrative data on new construction, property foreclosures, and property values; data from the United States Postal Service; as well as survey data from the New York City Housing and Vacancy Survey and the American Community Survey to show why this concentrated increase in vacant units is untenable. From the standpoint of the enumeration, units added in LUCA would challenge the best enumerator, but these hurdles were largely overcome, but for the two local census offices. The paper goes on to discuss how the Census Bureau can adopt measures in 2020 to ensure that housing units and their occupancy status are accurately enumerated in New York and across the nation.     

The US Decennial Census: Political Questions,Scientific Answers

The US decennial census was initiated in 1790 to facilitate nation‐building tasks, especially that of reconfiguring political representation as the population grew and settled new territories. To this basic task of power distribution have been added other key governmental functions, such as the use of census data in guiding revenue sharing and in the enforcement of nondiscriminatory policies. Throughout its history the census has been the focus of partisan clashes. Following the identification of the “differential undercount” a measure of how census coverage differs across demographic groups and geographic areas–the partisan battles intensified, and in recent decades have come to focus not just on how the census counts are used but how the census data are collected. It has been argued that census methodology could be designed to predetermine given partisan outcomes, and for the 2000 census this charge shifted from “could be” to “is.” The Census Bureau has taken extraordinary steps to demonstrate that no partisan considerations have affected the design or implementation of the census, and that its decisions are based solely on the best technical judgment available.     

Two hundred years and counting: the 1990 census

On April 1, 1990, the US will take a national census, marking 200 years of census taking in America. A national census has been taken every 10 years in the US since 1790. Mandated by the US Constitution, the decennial census is the basis for reapportionment of the House of Representatives. California, Texas, and Florida are expected to gain the most Congressional seats following the 1990 Census, reflecting above-average population growth in these states. The census also provides important information about the characteristics of the American people, and a growing number of federal, state and local government programs, private corporations, and community agencies use census data. Each census provides a portrait of America, and over the decades these portraits have revealed much about how our country has changed as we have grown from a young agrarian nation of about 4 million people clustered along the Eastern seaboard to a complex post-industrial society of nearly 250 million spread across the continent and beyond. Techniques for taking the census have steadily improved over the past 2 centuries. The 1990 Census will rely heavily on computerization in all its aspects, including field operations, processing, geography, data tabulations, and products. It is likely to be the most accurate census in our history. The 1990 Census is already the subject of a lawsuit, however, charging that minority groups will be counted less completely than the white population. A series of similar lawsuits followed the 1980 Census, but all were unsuccessful. This Bulletin discusses the Census Bureau's plans for taking the 1990 Census, looks back on 200 years of census taking in America, and details such key aspects of the 1990 Census as the questionnaire, census geography and data dissemination plans, census undercount and the homeless.     

Racial Differences in Neighborhood Attainment: The Contributions of Interneighborhood Migration and <Emphasis Type="Italic">In Situ</Emphasis> Change

Recent research shows that as they age, blacks experience less improvement than whites in the socioeconomic status of their residential neighborhoods. Using data from the Panel Study of Income Dynamics and U.S. decennial censuses, we assess the relative contribution of residential mobility and in situ neighborhood change (i.e., change surrounding nonmobile neighborhood residents) to the black-white difference in changes in neighborhood socioeconomic status and racial composition. Results from decomposition analyses show that the racial difference in in situ neighborhood change explains virtually all the black-white difference in neighborhood socioeconomic status change. In contrast, racial differences in residential mobility explain the bulk of the black-white difference in neighborhood racial compositional change. Among blacks and whites initially residing in low-income and predominantly minority neighborhoods, whites experience a much greater increase than blacks in the socioeconomic status of their neighborhoods and the percentage of their neighbors who are non-Hispanic white. These differences are driven primarily by racial differences in the economic and racial composition of local (intracounty) movers’ destination neighborhoods and secondarily by black-white differences in the likelihood of moving long distances.     

How surveys are changing at the U.S. Bureau of the Census

"This article describes the survey activities of the U.S. Census Bureau and recent efforts by the bureau to move toward a more fully automated environment....[It] focuses on four areas in which the Census Bureau is changing its approach to surveys: (1) redesigning the questionnaire for the Current Population Survey to better reflect current labor force conditions; (2) redesigning the same questionnaire to gain advantages from computer-assisted interviewing; (3) redesigning the samples for household surveys to be used during the next decade, a task undertaken after every decennial census; and (4) progress in changing to a computer-assisted survey information collection (CASIC) system and developing a data management network for all Census Bureau surveys."     

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.     

How much do we count? interpretation and error-making in the decennial census

Following a critique of the 1990 decennial census procedures, we conducted a field study among low-income, inner-city residents in 1991 to examine how they conceptualized and managed the civic task of census response. Interpretations about the purpose and meaning of the census, about commitment to the task, and about connection to government, singly and together with literacy skills (e.g., reading and general literacy competence), were associated with errors that are not detectable by evaluative methodologies used regularly by the Census Bureau. The validity and reliability of census data, and possibly other self-administered survey research, will be increased by greater use of knowledge about both interpretation and literacy skills in formulating data collection procedures.     

Age-sex structure of the United States in 2000: Early results from Census 2000

Recently data on age and sex for the United States have beenreleased in the Census 2000 data product Summary File 1. This paper presents someearly analysis on the shape of the age and sex structure from Census 2000 data throughstatistics and graphics on national and sub-national levels. Also highlighted are comparisonswith data from the 1990 census.     

Your House,Your Car,Your Education: The Socioeconomic Situation of the Neighborhood and its Impact on Life Satisfaction in Germany

This study deals with the impact of socioeconomic conditions and social integration into a local neighborhood on individual life satisfaction in Germany. While the majority of ecological studies to date are based on very broad neighborhood concepts, using large research units for defining neighborhood the present study contains micro-geographic information on a representative sample of private households in Germany, including features of their respective residential environments. The data was derived from the German Socio-Economic Panel (SOEP) study and enriched with data from the Micromarketing-Systeme and Consult GmbH (microm) for the years 2000–2006. Our analyses reveal neighborhood effects on various facets of life satisfaction. Controlling for several covariates at the household and individual level, life satisfaction increases when a person lives in a neighborhood with a higher socioeconomic status. In addition, the individual gap between a person’s economic status and the status of the neighborhood also affects individual well-being. However, when comparing with other neighborhood aspects, the strongest effects on individual life satisfaction have social networks.     

An assessment of the own-children method of estimating fertility by birthplace in Australia

This paper examines the validity of the own-children method of fertility estimates derived from the 1991 Census by a detailed investigation of mortality assumptions, the presence of non-own children, age misreporting and undercount. A comparison of fertility measures derived alternatively from the census using the own-children method and from vital statistics for the period 1987–91 indicates remarkably similar rates for Australia-born women, and plausible results for long established migrant groups. The own-children fertility levels for some recently arrived migrant groups, however, were found to be misleading. It is suggested that the own-children method is useful for the study of differential current fertility in Australia. Revised version of an essay awarded the W.D. Borrie Prize (graduate section), 1997, and presented to the session: Advances in methods for the analysis of demographic data of the 23rd General Conference of the International Union for the Scientific Study of Population, 11–17 October, Beijing. This paper is based on the author’s PhD thesis entitled:Fertility patterns of Australian selected immigrant groups, 1977–91.