Data – Page 6 – Use It for Good

IHGIS Research Example: Fertilizer Use from Agricultural Census Data

October 6, 2021October 6, 2021 by mpcblog

By Chris M. Boyd

The IPUMS International Historical Geographic Information System (IHGIS) provides subnational data from agricultural and population and housing censuses from around the world. The agricultural census data cover a wide range of information on agricultural inputs, labor, production, and more, which can be used to explore a variety of research questions. IHGIS data can help understand, for instance, which factors contribute to better crop productivity, including the role of fertilizer use. Researchers have used agricultural census data at the subnational level to analyze the negative relationship between farm size and fertilizer overuse in China¹; the relationship between maize yield, farm size and fertilizer and irrigation use in Mexico²; the use of chemical fertilizers in direct market farms in the U.S.³; and the environmental sustainability of using fertilizers, insecticides and pesticides in Pakistan⁴.

To date, IHGIS has released Agricultural Census tables for ten countries (see https://ihgis.ipums.org/dataset-descriptions), including seven developing countries in Africa and the Pacific Islands. These seven datasets include information about fertilizer use, though each measures it in a different way (see Table 1). Despite the differences, these data can reveal broad patterns in the use of fertilizer by farmers among these countries.

Conceptualizing Structural Racism with IPUMS Time Use Data

September 29, 2021September 14, 2021 by mpcblog

By Solvejg Wastvedt and Yash Singh

A major challenge for researchers studying racism is measuring the consequences of this macro-level phenomenon in people’s everyday lives. For the purposes of this post we define structural racism as a system of racialized advantage and disadvantage underlying and structuring multiple domains of life, including housing, interactions with government, education, the criminal legal system, and more. ⁵ ⁶ ⁷ ⁸ ⁹ Structural racism does not refer to individual prejudices or discriminatory beliefs. Rather, it is a macro-level phenomenon: a principle upon which structures in our society are built. When researchers study racism as a structural force, its impacts in any one area affect and reinforce impacts in every other area.

The consequences of structural racism for individuals are well-documented; for example, research shows structural racism produces poorer health outcomes for racialized groups. ¹⁰ However, research often focuses on a single aspect of structural racism, such as police brutality, and struggles to capture the full impact of this multidimensional phenomenon. Measures used to assess impacts of structural racism typically differ by domain, and while robust research documents these impacts, it can also be difficult to capture the mechanisms through which they occur.

Time — specifically time use — is a type of data that can unite studies of structural racism across domains and offer a glimpse into how this macro-level force acts on individuals.

Time is a form of capital: we only have so much of it, and time spent in one place is not spent elsewhere. For example, an individual living in a segregated neighborhood because of residential discrimination may be required to drive long distances for work or health care. This reduces time available for all other activities, including exercise. The resulting lack of time may lead, in turn, to negative health outcomes. While simply an illustration of one possible pathway linking the macro and micro levels, this example shows how time use data can capture impacts across multiple domains and, ultimately, on daily life.

IPUMS Time Use provides data from the American Time Use Survey (ATUS), a nationally representative U.S. time diary survey. In this post, we highlight measures from the ATUS corresponding to two aspects of structural racism: residential segregation and discrimination in government services. Researchers interested in other aspects can create and select variables from IPUMS ATUS data to match their areas of interest.

An Age-Based Approach to Disability

September 29, 2021August 10, 2021 by mpcblog

By Solvejg Wastvedt and Yash Singh

Disability is dynamic: it evolves over time and interacts with environmental and societal factors. Due to the complex nature of disability, researchers conceptualize and measure disability differently depending on their research question and available data. For instance, an identical condition might evolve differently for a child facing food insecurity compared to one that has stable access to food. Similarly, a physical limitation for a worker in New York City may have a vastly different impact compared to a similar worker in rural Iowa. Disability can be viewed as the relational concept between individuals with physical or mental impairment and the environment.¹¹ ¹² This complexity makes measuring disability a challenging task. The following post aims to help researchers understand and use disability measurements available in IPUMS data collections.

Things to Consider when Using the 2020 American Time Use Survey

September 29, 2021July 29, 2021 by mpcblog

By Kelsey J. Drotning

Curious about how COVID-19 has affected time in leisure, sleep, work, and family activities in the United States? The 2020 ATUS will provide some clues. Data from the 2020 American Time Use Survey (ATUS) were released by the Bureau of Labor Statistics on July 22, 2021. The data have been harmonized with previous ATUS surveys by the IPUMS team, released on July 30, 2021. The 2020 ATUS provides a window into how daily lives shifted in response to COVID-19 pandemic conditions and the corresponding economic recession via 24-hour time diaries. Potential research topics include, but are not limited to:

• What, where, and with whom people spent their time post-onset compared to pre-onset of the pandemic
• Differences in daily activities by gender, race, ethnicity, nativity, age, parental and marital status, household composition, employment status, education.
• How daily activities, such as work, time with children, school, commuting, socializing and sleep changed as social distancing restrictions were enacted, lifted or maintained across U.S. states

Online Analysis Tool Now Exports CSV Output

September 29, 2021June 2, 2021 by mpcblog

By Matthew Sobek

IPUMS is pleased to announce a major usability upgrade to our online analysis tool: the ability to download tabular output as a CSV file. No more cleaning up html!

The IPUMS online analysis tool has been a big hit with our users, and we’ve made it available for most of the IPUMS data collections. If you haven’t tried it, you should. We even have a tutorial.

Despite its popularity with users, the SDA (Survey Documentation and Analysis) software that drives the system has always had a significant limitation: it produces tables in html format, which is fine for web display but highly inconvenient for cutting and pasting into documents.

In spring 2020 the SDA folks at the Institute for Scientific Analysis were looking for a new project and thoughtfully asked what change we thought users would most appreciate. We responded immediately “CSV downloads,” and within a few months, they had produced a working version of the software that incorporates the new feature. We have now upgraded all the IPUMS sites that offer online analysis to the new version of SDA.

How has COVID-19 affected 2020 data collection efforts?

September 29, 2021March 3, 2021 by mpcblog

By Julia A. Rivera Drew, Sarah M. Flood, Renae Rodgers

IPUMS integrates data from several major US surveys that collect data throughout the year. Below, we discuss how COVID-19 has affected how US statistical agencies have collected these survey data in 2020.

Current Population Survey (CPS)

The Bureau of Labor Statistics (BLS) and the Census Bureau have continued to collect data on a monthly basis during the COVID-19 pandemic, implementing some procedural modifications to protect the safety of respondents and Census Bureau employees and adding a short supplement to capture the effects of the pandemic on work in the United States.

Changes to Interviewing Procedures

Current Population Survey (CPS) data collection for March had already begun when the Census Bureau suspended in-person data collection on March 20th, 2020. Two call centers that assist with CPS data collection also closed down at this time. However, data collection continued exclusively by phone through June of 2020. In July, in-person interviews began in some areas of the country and the call centers that had been closed in March re-opened. In-person interviews were resumed in all areas of the country in September 2020 and data collection has returned to a normal routine. More information on how alternative data collection procedures affected response rates, attrition, and employment data is available on the IPUMS CPS website.

Additional COVID-related content

The COVID-19 outbreak prompted the BLS to add five questions to the monthly CPS survey about work in the time of COVID-19. These questions were first asked in May. Though the question about foregoing medical care due to the pandemic was dropped from the survey after October of 2020, all other questions will remain in the survey until further notice. Researchers may preview the questions or access the COVID-specific variables via IPUMS CPS.

IPUMS CPS will continue to update our documentation on the effects of the pandemic on CPS data collection and to make new data available as quickly as possible. Follow @ipums on Twitter for the latest updates.

Mapping Block-Level Segregation: The Twin Cities’ Black Population, 1980-2010

December 21, 2021February 10, 2021 by mpcblog

Research, data preparation, story and graphics by Amalea Jubara and Yaxuan Zhang (Minnesota Population Center, Summer Diversity Fellows), mentored by Jonathan Schroeder (IPUMS Research Scientist) and Ying Song (Assistant Professor, Department of Geography, Environment & Society)

Edited by Jonathan Schroeder (IPUMS Research Scientist)

IPUMS NHGIS Block Data: An Expanding Collection

The most spatially precise U.S. census data are block-level tables, summarizing population and housing characteristics for millions of blocks throughout the country. IPUMS NHGIS provides block-level tables for the 1970 to 2010 decennial censuses as well as block boundary files for 1990, 2000 and 2010. This collection is set to grow substantially in the next few years as NHGIS adds new 2020 census block data and as we continue with a major initiative to construct 1980 and 1970 block boundary files. This expansion will open up new possibilities for high-precision spatial analysis across a longer time span.

A Case Study of the Twin Cities’ Black Population

To demonstrate some of the potential value of this expanding collection, we use NHGIS block data, including some not-yet-released 1980 block boundaries, to explore the recent history of racial segregation and integration in the Black population of the Twin Cities of Minneapolis and St. Paul, Minnesota, from 1980 to 2010. We present the block data in an interactive map along with data on early-20th-century racial covenants and the “redlining” zones of the Home Owners’ Loan Corporation (HOLC), recently published by the Mapping Prejudice and Mapping Inequality projects.

The block-level changes since 1980 show a striking trend toward greater dispersion and integration of Black residents, but segregation persists; several neighborhoods still have uniformly low or high proportions of Black residents. By overlaying racial covenants and HOLC zones with the block data, we can also find cases where the historical discriminatory practices appear to have left a lasting imprint on the distribution of Black residents.