scholarly journals New Insights into Rental Housing Markets across the United States: Web Scraping and Analyzing Craigslist Rental Listings

2017 ◽  
Author(s):  
Geoff Boeing
Keyword(s):  
Census Data ◽  
Rental Housing ◽  
Housing Markets ◽  
The United States ◽  
Spatial And Temporal Patterns ◽  
Single Digit ◽  
Fine Grained ◽  
Alternative Sources ◽  
Apartment Complexes ◽  
The U.S

Current sources of data on rental housing – such as the census or commercial databases that focus on large apartment complexes – do not reflect recent market activity or the full scope of the U.S. rental market. To address this gap, we collected, cleaned, analyzed, mapped, and visualized 11 million Craigslist rental housing listings. The data reveal fine-grained spatial and temporal patterns within and across metropolitan housing markets in the U.S. We find some metropolitan areas have only single-digit percentages of listings below fair market rent. Nontraditional sources of volunteered geographic information offer planners real-time, local-scale estimates of rent and housing characteristics currently lacking in alternative sources, such as census data.

scholarly journals New Insights into Rental Housing Markets across the United States: Web Scraping and Analyzing Craigslist Rental Listings

2016 ◽  
Vol 37 (4) ◽  
pp. 457-476 ◽  
Author(s):  
Geoff Boeing ◽  
Paul Waddell
Keyword(s):  
United States ◽  
Census Data ◽  
Rental Housing ◽  
Housing Markets ◽  
The United States ◽  
Spatial And Temporal Patterns ◽  
Single Digit ◽  
Fine Grained ◽  
Alternative Sources ◽  
Apartment Complexes

Current sources of data on rental housing—such as the census or commercial databases that focus on large apartment complexes—do not reflect recent market activity or the full scope of the US rental market. To address this gap, we collected, cleaned, analyzed, mapped, and visualized eleven million Craigslist rental housing listings. The data reveal fine-grained spatial and temporal patterns within and across metropolitan housing markets in the United States. We find that some metropolitan areas have only single-digit percentages of listings below fair market rent. Nontraditional sources of volunteered geographic information offer planners real-time, local-scale estimates of rent and housing characteristics currently lacking in alternative sources, such as census data.

scholarly journals The Impact of Single-Family Rental REITs on Regional Housing Markets: A Case Study of Nashville, TN

Societies ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 93 ◽  
Author(s):  
Ken Chilton ◽  
Robert Silverman ◽  
Rabia Chaudhrey ◽  
Chihaungji Wang
Keyword(s):  
Real Estate ◽  
Census Data ◽  
Housing Markets ◽  
Future Research ◽  
Individual Investors ◽  
Single Family ◽  
Real Estate Investment ◽  
Wealth Concentration ◽  
The Impact ◽  
The U.S

The U.S. Congress authorized the creation of real estate investment trusts (REITs) in 1960 so companies could develop publically traded real estate investment portfolios. REITs focus on commercial property, retail property, and rental property. During the last decade, REITs became more active in regional housing markets across the U.S. Single-family rental (SFR) REITs have grown tremendously, buying up residential properties across the country. In some regional housing markets, SFR REITs own noticeable shares of single-family homes. In those settings, SFR REITs take large numbers of housing units off of real estate markets where homeownership transactions occur and manage these properties as part of commercial rental inventories. This has resulted in a new category of multiple property owners, composed of institutional investors as opposed to individual investors, which further exacerbates property wealth concentration and polarization. This study examines the socio–spatial distribution of properties in SFR REIT portfolios to determine if SFR REIT properties tend to cluster in distinct areas. This study will focus on the regional housing market in Nashville, TN. Nashville has one of the most active SFR REIT sectors in the country. County tax assessor records were used to identify SFR REIT properties. These data were joined with U.S. Census data to create a profile of communities. The data were analyzed using SPSS statistical software and GIS software. Our analysis suggests that neighborhoods with clusters of SFR REITs fit the SFR REIT business model. Clusters occur in communities with newer homes, residents with higher levels of educational attainment, and middle to upper-middle incomes. The paper concludes with several recommendations for future research on SFR REITs.

Admission Criteria and Immigrant Earnings Profiles

1996 ◽  
Vol 30 (2) ◽  
pp. 571-590 ◽  
Author(s):  
Harriet Orcutt Duleep ◽  
Mark C. Regets
Keyword(s):  
Census Data ◽  
The United States ◽  
Admission Criteria ◽  
Earnings Growth ◽  
Immigration And Naturalization Service ◽  
Service Information ◽  
Catch Up ◽  
Family Based ◽  
Ongoing Concern ◽  
The U.S

There has been an ongoing concern about the productivity of kinship-based immigrants in the U.S. labor market. Despite the policy importance of this issue, little empirical or theoretical attention has been devoted to learning the effect of different admission criteria on immigrants’ economic performance. To estimate the effect of admission criteria on immigrant earnings profiles, we use 1980 census data on individuals matched to Immigration and Naturalization Service information on admission criteria for country-of-origin/year-of-entry immigrant cohorts. We find that nonoccupation-based immigration, most of which is family-based, is associated with lower entry earnings but higher earnings growth than occupation-based immigration. The higher estimated earnings growth is sufficient for nonoccupation-based immigrants to catch up with occupationally admitted immigrants after eleven to eighteen years in the United States.

scholarly journals Microclass immobility during industrialisation in the USA and Norway

2018 ◽  
Vol 62 (2) ◽  
pp. 193-210
Author(s):  
Dave Griffiths ◽  
Paul S Lambert ◽  
Richard L Zijdeman ◽  
Marco HD van Leeuwen ◽  
Ineke Maas
Keyword(s):  
Social Mobility ◽  
Social Reproduction ◽  
Census Data ◽  
The United States ◽  
Relative Importance ◽  
Fine Grained ◽  
Occupational Differences ◽  
Recent Developments ◽  
The Usa

The ‘microclass’ approach advocated by Grusky, Weeden and colleagues emphasises fine-grained occupational differences and their relevance to social reproduction and social mobility. Using recent developments in historical occupational classifications, we adopted a microclass approach to the analysis of intergenerational social mobility using linked census data for Norway and the USA in the late 19th and early 20th century (1850–1910). We describe a procedure that offers an operationalisation of microclass units for these datasets, and show how its application enables us to disentangle different forms of immobility which would not be distinguished in other approaches. Results suggest that microclass immobility is an important part of social reproduction in both Norway and the United States during the era of industrialisation. Both countries reveal a similar balance between ‘big class’ and ‘microclass’ immobility patterns. In Norway, the relative importance of microclasses in social reproduction regimes, when compared to the role of ‘big class’ structures, seems to decline very slightly over the course of industrialisation; but in the USA the relative importance of microclasses seems if anything to increase over the period.

P3342Prevalence of patients with paroxysmal supraventricular tachycardia (PSVT) in the United States

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
N Sacks ◽  
P Cyr ◽  
S Green ◽  
B Healey ◽  
M Preib ◽  
...  
Keyword(s):  
Claims Data ◽  
Census Data ◽  
Age Groups ◽  
The United States ◽  
Paroxysmal Supraventricular Tachycardia ◽  
Prevalence Rates ◽  
Older Individuals ◽  
The Us ◽  
Insurance Claims Data ◽  
The U.S

Abstract Background/Introduction PSVT is a sporadic, sudden and recurring tachycardia that can be difficult to diagnose. Estimates based on an initial healthcare encounter may underestimate PSVT prevalence because patients may have multiple encounters before definitive diagnosis. Purpose To estimate the prevalence of PSVT patients in the US using longitudinal data. Methods Retrospective study that used demographic, enrollment and claims data from Truven MarketScan® (age <65y) and Medicare Limited Dataset (age≥65y) databases from 2008–2016. All individuals continuously enrolled in their health plans for 5 years were included; PSVT patients were required to have claims with a PSVT diagnosis (ICD-9: 427.0; ICD-10: I47.1) on 2+ outpatient visits, 1+ inpatient admission or 1+ ED visit. The 9-year period prevalence was calculated as the number of PSVT patients /number of individuals observable for 5 continuous years, and the 9-year prevalence from the study population was projected to the U.S. population by sex and age (<18, 18–34, 35–44, 45–54, 55–64, ≥65) using 2010–2016 U.S. census data. Results Of 18,057,297 study patients, 86,630 met criteria for PSVT. Projected to the US population, prevalence estimates ranged from 1,749,358 in 2010 to 1,967,532 in 2016. Prevalence rates increased with age, from 0.871/1,000 (<18y) to 5.031/1,000 (45–54y) and 21.881/1,000 (≥65y). Prevalence rates were higher for females in all age groups, except the <18y cohort, but the difference in prevalence between female and male patients decreased with age. Relative rates of PSVT were more than twice as high for females age 18–44y, while prevalence rates were 1.3 to 1.6 times higher in females age 45y and above (Table). Prevalence of PSVT in the US by Age and Gender, 2010–2016 Age Prevalence/1,000 [Female; Male] US Population (Year) Projected Prevalence (US) <18 0.871 [0.898; 0.845] 323,127,513 (2016) 1,967,532 18–34 2.268 [3.023; 1.440] 320,896,618 (2015) 1,930,746 35–44 3.313 [4,340; 2.147] 318,563,456 (2014) 1,892,923 45–54 5.031 [6.058; 3.845] 316,204,908 (2013) 1,855,256 55–64 7.761 [8.663; 6.727] 313,998,379 (2012) 1,818,690 65+ 21.881 [24.480; 18.329] 311,663,358 (2011) 1,777,397 Total 4.798 [5.823; 3.668] 309,348,193 (2010) 1,749,064 Conclusions Based on insurance claims data, PSVT affected 1.7–2 million individuals in the U.S. annually between 2010 and 2016. Prevalence rates were higher in older individuals and females, with much higher rates for females ages 18–44y relative to males. Estimates that rely on a single medical encounter may underestimate PSVT prevalence.

Searching for housing in the digital age: Neighborhood representation on internet rental housing platforms across space, platform, and metropolitan segregation

2021 ◽  
pp. 0308518X2110341
Author(s):  
Chris Hess ◽  
Arthur Acolin ◽  
Rebecca Walter ◽  
Ian Kennedy ◽  
Sarah Chasins ◽  
...  
Keyword(s):  
Metropolitan Areas ◽  
Social Process ◽  
Rental Housing ◽  
Housing Markets ◽  
The United States ◽  
Housing Affordability ◽  
Ethnic Composition ◽  
Online Platforms ◽  
Housing Search ◽  
Rental Markets

Understanding residential mobility, housing affordability, and the geography of neighborhood advantage and disadvantage relies on robust information about housing search processes and housing markets. Existing data about housing markets, especially rental markets, suffer from accuracy issues and a lack of temporal and geographic flexibility. Data collected from online rental platforms that are commonly used can help address these issues and hold considerable promise for better understanding the full distribution of available rental homes. However, realizing this promise requires a careful assessment of potential sources of bias as online rental listing platforms may perpetuate inequalities similar to those found in physical spaces. This paper approaches the production of rental advertisements as a social process driven by both contextual and property level factors. We compare data from two online platforms for the 100 most populated metropolitan areas in the United States to explore inequality in digital rental listing spaces and understand what characteristics are associated with over and underrepresentation of advertisements in certain areas. We find similar associations for socioeconomic measures between platforms and across urban and suburban parts of these metropolitan areas. In contrast, the importance of racial and ethnic composition, as well as broader patterns of segregation, for online representation differs substantially across space and platform. This analysis informs our understanding of how online platforms affect housing search dynamics through their biases and segmentation, and highlights the potential and limits in using the data available on these platforms to produce small area rental estimates.

Associations Between Community Income and Cancer Survival in Ontario, Canada, and the United States

1999 ◽  
Vol 17 (7) ◽  
pp. 2244-2244 ◽  
Author(s):  
Chris Boyd ◽  
Jina Y. Zhang-Salomons ◽  
Patti A. Groome ◽  
William J. Mackillop
Keyword(s):  
United States ◽  
Cancer Survival ◽  
Proportional Hazards ◽  
Census Data ◽  
Neck Region ◽  
The United States ◽  
Cox Proportional Hazards ◽  
Risk Of Death ◽  
Significant Survival ◽  
The U.S

PURPOSE: The objectives of this study were as follows: (1) to compare the magnitude of the association between socioeconomic status (SES) and cancer survival in the Canadian province of Ontario with that in the United States (U.S.), and (2) to compare cancer survival in communities with similar SES in Ontario and in the U.S. METHODS: The Ontario Cancer Registry provided information about all cases of invasive cancer diagnosed in Ontario from 1987 to 1992, and the Surveillance, Epidemiology and End Results Registry (SEER) provided information about all cases diagnosed in the SEER regions of the U.S. during the same time period. Census data provided information about SES at the community level. The product-limit method was used to describe cause-specific survival. Cox proportional hazards models were used to describe the association between SES and the risk of death from cancer. RESULTS: There were significant associations between SES and survival for most cancer sites in both the U.S. and Ontario, but the magnitude of the association was usually larger in the U.S. In the poorest communities, there were significant survival advantages in favor of cancer patients in Ontario for many disease groups, including cancers of the lung, head and neck region, cervix, and uterus. However, in upper- and middle-income communities, there were significant survival advantages in favor of the U.S. for all cases combined and for several individual diseases, including cancers of the breast, colon and rectum, prostate, and bladder. CONCLUSION: The association between SES and cancer survival is weaker in Ontario than it is in the U.S. This is due to a combination of better survival among patients in the poorest communities and worse survival among patients in the wealthier communities of Ontario relative to those in the U.S.

Polygyny in American Politics

1993 ◽  
Vol 12 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Laura Betzig ◽  
Samantha Weber
Keyword(s):  
United States ◽  
United States Of America ◽  
American History ◽  
American Politics ◽  
Census Data ◽  
The United States ◽  
United States Congress ◽  
Vice Presidents ◽  
Biographical Dictionary ◽  
The U.S

Biographical data were collected on members of the U.S. executive, legislative, and judicial branches, in George Washington's first through Ronald Reagan's last administration, fromWho Was Who in America,theBiographical Dictionary of the United States Congress, Vice Presidents and Cabinet Members,andBurke's Presidential Families of the United States of America.They suggest that serial polygyny in this sample has declined over the last two hundred years. Census data on average American men suggest that the number of wives per man has stayed the same or increased at the same time. These trends imply that mating equality may have increased over the last two centuries of American history. What sketchy evidence exists on extramarital opportunities tentatively suggests a similar trend.

Residential Segregation at the Dawn of the Great Migration: Evidence from the 1910 and 1920 Census

2020 ◽  
pp. 1-27
Author(s):  
Hyun Hye Bae ◽  
Lance Freeman
Keyword(s):  
Twentieth Century ◽  
Residential Segregation ◽  
Census Data ◽  
Full Range ◽  
The United States ◽  
Great Migration ◽  
Fine Grained ◽  
The Great Migration ◽  
Historical Accounts ◽  
American Cities

Abstract The second decade of the twentieth century is viewed as the pivotal period for ghetto formation in the United States. This decade witnessed the onset of the Great Migration and it was during this time that modern ghettos, massive agglomerations of tens of thousands of Blacks and virtually only Blacks, became visible. Despite the importance of this period for ghetto formation and the subsequent segregation experienced by Blacks, our understanding of the dynamics of segregation during this period is incomplete. We utilize recently released fine-grained census data to present a more precise and complete picture of segregation in American cities in the second decade of the twentieth century and in doing so make several contributions to the historical literature on residential segregation. First, we document how segregation varied across the full range of American cities, including Southern and smaller cities overlooked in most historical accounts. Second, we assess how the influx of Southern Black migrants into Northern cities was related to increasing segregation. Third, we ascertain the role of Blacks’ socioeconomic status in determining proximity to Whites. Fourth, we examine racial zoning’s impact on segregation. Finally, we consider how the presence of immigrants in a city was related to the residential segregation experienced by Blacks. This research thus adds to the literature on residential segregation by providing more reliable estimates of the degree of residential segregation experienced by Blacks at the beginning of the Great Migration as well as exploring other factors associated with varying levels of segregation at that time.

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