Homeownership Rate 65.4% 4 3 Homeowner Vacancy Rate 2 Next Release: October 26, 2021 1 Data Are Not Adjusted for Seasonality

Total Page:16

File Type:pdf, Size:1020Kb

Homeownership Rate 65.4% 4 3 Homeowner Vacancy Rate 2 Next Release: October 26, 2021 1 Data Are Not Adjusted for Seasonality FOR RELEASE AT 10:00 AM EST, Tuesday, July 27, 2021 QUARTERLY RESIDENTIAL VACANCIES AND HOMEOWNERSHIP, SECOND QUARTER 2021 Release Number: CB21-108 Announcement: Due to the coronavirus pandemic (COVID-19), data collection operations for the CPS/HVS were slightly affected during the second quarter of 2021, though to a much lesser extent than last year, as in-person interviews were allowed for 99 percent of the country. The remaining interviews were conducted over the telephone. If the Field Representative was unable to get contact information on the sample unit, the unit was made a Type A noninterview (no one home, refusal, etc). We are unable to determine the extent to which this data collection change affected our estimates. See the FAQ for more information. July 27, 2021 — The U.S. Census Bureau announced the following residential vacancies and homeownership statistics for the second quarter 2021.: RESIDENTIAL VACANCIES Figure 1 12 Quarterly Rental and Homeowner Vacancy Rates for the United States: 1998-2021 AND HOMEOWNERSHIP 11 Rental Vacancy Rate Recession SECOND QUARTER 2021 10 9 Rental Vacancy Rate 6.2% 8 7 Homeowner Vacancy Rate 0.9% 6 Percent 5 Homeownership Rate 65.4% 4 3 Homeowner Vacancy Rate 2 Next release: October 26, 2021 1 Data are not adjusted for seasonality. 0 Source: U.S. Census Bureau, 1998 2003 2008 2013 2018 2021 Source: U.S. Census Bureau, Current Population Survey/Housing Vacancy Survey, July 27, 2021 Current Population Survey/Housing Vacancy Survey, July 27, 2021 Recession data: National Bureau of Economic Research, <www.nber.org> National vacancy rates in the second quarter 2021 were 6.2 percent for rental housing and 0.9 percent for homeowner housing. The rental vacancy rate was 0.5 percentage points higher than the rate in the second quarter 2020 (5.7 percent) and 0.6 percentage points lower than the rate in the first quarter 2021 (6.8 percent). The homeowner vacancy rate of 0.9 percent was virtually the same as the rate in the second quarter 2020 (0.9 percent) and virtually the same as the rate in the first quarter 2021 (0.9 percent). The homeownership rate of 65.4 percent was 2.5 percentage points lower than the rate in the second quarter 2020 (67.9 percent) and not statistically different from the rate in the first quarter 2021 (65.6 percent). Data users should see the FAQ regarding statistical comparisons to quarters affected by the COVID-19 pandemic. Table 1. Rental and Homeowner Vacancy Rates for the United States: 2018 to 2021 Rental Vacancy Rate (percent) Homeowner Vacancy Rate (percent) Year First Second Third Fourth First Second Third Fourth Quarter Quarter Quarter Quarter Quarter Quarter Quarter Quarter 2021…… 6.8 6.2 0.9 0.9 2020…… 6.6 5.7 6.4 6.5 1.1 0.9 0.9 1.0 2019…… 7.0 6.8 6.8 6.4 1.4 1.3 1.4 1.4 2018…… 7.0 6.8 7.1 6.6 1.5 1.5 1.6 1.5 All comparative statements in this report have undergone statistical testing, and unless otherwise noted, all comparisons are statistically significant at the 90 percent significance level. For an explanation of how the rates are calculated, please see the Explanatory Notes at the end of the press release. Explanations of confidence intervals and sampling variability can be found on the CPS/HVS website at: <www.census.gov/housing/hvs> Source: U.S. Census Bureau, Current Population Survey/Housing Vacancy Survey, July 27, 2021. Data Inquiries Media Inquiries Social, Economic & Housing Statistics Division, Financial & Market Characteristics Branch Public Information Office 301-763-3199 / Robert Callis / Patricia Holley / Daniel Truver 301-763-3030 [email protected] [email protected] In the second quarter 2021, the median asking rent for vacant for rent units was $1,228. Figure 2 Median Asking Rent for Vacant for Rent Units: 1997-2021 (Current Dollars) Dollars ($) Recession 1300.0 1200.0 1100.0 1000.0 900.0 800.0 700.0 600.0 500.0 400.0 1997 2001 2005 2009 2013 2017 2021 Source: U.S. Census Bureau, Current Population Survey/Housing Vacancy Survey, July 27, 2021 Recession data: National Bureau of Economic Research, <www.nber.org> In the second quarter 2021, the median asking sales price for vacant for sale units was $238,600. Figure 3 Median Asking Sales Price for Vacant for Sale Units: 1997-2021 Dollars ($) (Current Dollars) 250,000 Recession 225,000 200,000 175,000 150,000 125,000 100,000 75,000 50,000 1997 2001 2005 2009 2013 2017 2021 Source: U.S. Census Bureau, Current Population Survey/Housing Vacancy Survey July 27, 2021 Recession data: National Bureau of Economic Research, <www.nber.org> 1. Median asking rent and median asking sales price data for vacant units can be found in Historical Table 11A/B at <www.census.gov/housing/hvs/data/histtabs> 2. The data in figures 2 and 3 are not adjusted for price changes. Data Inquiries Media Inquiries Social, Economic & Housing Statistics Division, Financial & Market Characteristics Branch Public Information Office 301-763-3199 / Robert Callis / Patricia Holley / Daniel Truver 301-763-3030 [email protected] [email protected] The rental vacancy rate outside MSAs (6.9 percent) was higher than the rate in the suburbs (5.4 percent). The rate in principal cities (6.7 percent) was also higher than the rate in the suburbs. The rate in principal cities was not statistically different from the rate outside MSAs. The rate in principal cities was higher than the second quarter 2020 rate, the rate outside MSAs was lower than the second quarter 2020 rate, but the rate in the suburbs was not statistically different from the second quarter 2020 rate. The homeowner vacancy rate in principal cities (1.1 percent) was higher than the rate in the suburbs (0.8 percent) but not statistically different from the rate outside MSAs (0.9 percent). The rate outside MSAs was not statistically different from the rate in the suburbs. The rates in all areas were not statistically different from the second quarter 2020 rates. The rental vacancy rate was lowest in the West (4.8 percent), followed by the Northeast (5.6 percent). The rates were highest in the South (6.9 percent) and Midwest (7.3), and these two regions were not statistically different from each other. The rates in the Northeast and West were higher than their second quarter 2020 rates. The rates in the Midwest and South were not statistically different from the second quarter 2020 rates. The homeowner vacancy rate in the South (1.0 percent) was higher than the rate in the Midwest (0.7 percent). The rate in the Midwest is also lower than the rate in the Northeast (0.9 percent). The rate in the West was 0.8 percent. There were no other statistically significant differences between the regions. The rates in all regions were not statistically different from the second quarter 2020 rates. Table 2. Rental and Homeowner Vacancy Rates by Area and Region: Second Quarter 2020 and 2021 Rental Vacancy Rates (percent) Homeowner Vacancy Rates (percent) Margins of Errora Margins of Errora Area/Region Second Second Second Second Quarter Quarter of of Quarter Quarter of of 2020 2021 2021 rate difference 2020 2021 2021 rate difference United States.....…..….. 5.7 6.2 0.2 0.3 0.9 0.9 0.1 0.1 Inside Metropolitan Statistical Areas....….... 5.4 6.1 0.3 0.3 0.8 0.9 0.1 0.1 ...In principal cities….… 5.6 6.7 0.4 0.5 1.0 1.1 0.2 0.2 ...Not in principal ...cities (suburbs) ……... 5.3 5.4 0.4 0.5 0.8 0.8 0.1 0.1 Outside Metropolitan Statistical Areas ………. 8.2 6.9 0.8 1.0 1.0 0.9 0.2 0.2 Northeast.........……..... 4.2 5.6 0.5 0.7 0.9 0.9 0.2 0.2 Midwest...........…...….. 6.8 7.3 0.7 1.0 0.7 0.7 0.1 0.2 South...............………… 7.4 6.9 0.4 0.6 1.0 1.0 0.1 0.2 West................………… 3.8 4.8 0.4 0.6 0.7 0.8 0.1 0.2 aA margin of error is a measure of an estimate’s reliability. The larger the margin of error in relation to the size of the estimate, the less reliable the estimate. This number, when added to and subtracted from the estimate, forms the 90 percent confidence interval. Data Inquiries Media Inquiries Social, Economic & Housing Statistics Division, Financial & Market Characteristics Branch Public Information Office 301-763-3199 / Robert Callis / Patricia Holley / Daniel Truver 301-763-3030 [email protected] [email protected] Approximately 89.0 percent of the housing units in the United States in the second quarter 2021 were occupied and 11.0 percent were vacant. Owner-occupied housing units made up 58.2 percent of total housing units, while renter-occupied units made up 30.8 percent of the inventory in the second quarter 2021. Vacant year-round units comprised 8.3 percent of total housing units, while 2.7 percent were vacant for seasonal use. Approximately 2.1 percent of the total units were vacant for rent, 0.5 percent were vacant for sale only and 0.8 percent were rented or sold but not yet occupied. Vacant units that were held off market comprised 5.0 percent of the total housing stock – 1.4 percent were for occasional use, 0.8 percent were temporarily occupied by persons with usual residence elsewhere (URE) and 2.8 percent were vacant for a variety of other reasons.
Recommended publications
  • 811D Ecollomic Statistics Adrllillistra!Tioll
    811d Ecollomic Statistics Adrllillistra!tioll BUREAU THE CENSUS • I n i • I Charles G. Langham Issued 1973 U.S. D OF COM ERCE Frederick B. Dent. Secretary Social Economic Statistics Edward D. Administrator BU OF THE CENSUS Vincent P. Barabba, Acting Director Vincent Director Associate Director for Economic Associate Director for Statistical Standards and 11/1",1"\"/1,, DATA USER SERVICES OFFICE Robert B. Chief ACKNOWLEDGMENTS This report was in the Data User Services Office Charles G. direction of Chief, Review and many persons the Bureau. Library of Congress Card No.: 13-600143 SUGGESTED CiTATION U.S. Bureau of the Census. The Economic Censuses of the United by Charles G. longham. Working Paper D.C., U.S. Government Printing Office, 1B13 For sale by Publication Oistribution Section. Social and Economic Statistics Administration, Washington, D.C. 20233. Price 50 cents. N Page Economic Censuses in the 19th Century . 1 The First "Economic Censuses" . 1 Economic Censuses Discontinued, Resumed, and Augmented . 1 Improvements in the 1850 Census . 2 The "Kennedy Report" and the Civil War . • . 3 Economic Censuses and the Industrial Revolution. 4 Economic Censuses Adjust to the Times: The Censuses of 1880, 1890, and 1900 .........................•.. , . 4 Economic Censuses in the 20th Century . 8 Enumerations on Specialized Economic Topics, 1902 to 1937 . 8 Censuses of Manufacturing and Mineral Industries, 1905 to 1920. 8 Wartime Data Needs and Biennial Censuses of Manufactures. 9 Economic Censuses and the Great Depression. 10 The War and Postwar Developments: Economic Censuses Discontinued, Resumed, and Rescheduled. 13 The 1954 Budget Crisis. 15 Postwar Developments in Economic Census Taking: The Computer, and" Administrative Records" .
    [Show full text]
  • 2019 TIGER/Line Shapefiles Technical Documentation
    TIGER/Line® Shapefiles 2019 Technical Documentation ™ Issued September 2019220192018 SUGGESTED CITATION FILES: 2019 TIGER/Line Shapefiles (machine- readable data files) / prepared by the U.S. Census Bureau, 2019 U.S. Department of Commerce Economic and Statistics Administration Wilbur Ross, Secretary TECHNICAL DOCUMENTATION: Karen Dunn Kelley, 2019 TIGER/Line Shapefiles Technical Under Secretary for Economic Affairs Documentation / prepared by the U.S. Census Bureau, 2019 U.S. Census Bureau Dr. Steven Dillingham, Albert Fontenot, Director Associate Director for Decennial Census Programs Dr. Ron Jarmin, Deputy Director and Chief Operating Officer GEOGRAPHY DIVISION Deirdre Dalpiaz Bishop, Chief Andrea G. Johnson, Michael R. Ratcliffe, Assistant Division Chief for Assistant Division Chief for Address and Spatial Data Updates Geographic Standards, Criteria, Research, and Quality Monique Eleby, Assistant Division Chief for Gregory F. Hanks, Jr., Geographic Program Management Deputy Division Chief and External Engagement Laura Waggoner, Assistant Division Chief for Geographic Data Collection and Products 1-0 Table of Contents 1. Introduction ...................................................................................................................... 1-1 1. Introduction 1.1 What is a Shapefile? A shapefile is a geospatial data format for use in geographic information system (GIS) software. Shapefiles spatially describe vector data such as points, lines, and polygons, representing, for instance, landmarks, roads, and lakes. The Environmental Systems Research Institute (Esri) created the format for use in their software, but the shapefile format works in additional Geographic Information System (GIS) software as well. 1.2 What are TIGER/Line Shapefiles? The TIGER/Line Shapefiles are the fully supported, core geographic product from the U.S. Census Bureau. They are extracts of selected geographic and cartographic information from the U.S.
    [Show full text]
  • Bad Cops: a Study of Career-Ending Misconduct Among New York City Police Officers
    The author(s) shown below used Federal funds provided by the U.S. Department of Justice and prepared the following final report: Document Title: Bad Cops: A Study of Career-Ending Misconduct Among New York City Police Officers Author(s): James J. Fyfe ; Robert Kane Document No.: 215795 Date Received: September 2006 Award Number: 96-IJ-CX-0053 This report has not been published by the U.S. Department of Justice. To provide better customer service, NCJRS has made this Federally- funded grant final report available electronically in addition to traditional paper copies. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S. Department of Justice. This document is a research report submitted to the U.S. Department of Justice. This report has not been published by the Department. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S. Department of Justice. Bad Cops: A Study of Career-Ending Misconduct Among New York City Police Officers James J. Fyfe John Jay College of Criminal Justice and New York City Police Department Robert Kane American University Final Version Submitted to the United States Department of Justice, National Institute of Justice February 2005 This project was supported by Grant No. 1996-IJ-CX-0053 awarded by the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice. Points of views in this document are those of the authors and do not necessarily represent the official position or policies of the U.S.
    [Show full text]
  • 2020 Census Barriers, Attitudes, and Motivators Study Survey Report
    2020 Census Barriers, Attitudes, and Motivators Study Survey Report A New Design for the 21st Century January 24, 2019 Version 2.0 Prepared by Kyley McGeeney, Brian Kriz, Shawnna Mullenax, Laura Kail, Gina Walejko, Monica Vines, Nancy Bates, and Yazmín García Trejo 2020 Census Research | 2020 CBAMS Survey Report Page intentionally left blank. ii 2020 Census Research | 2020 CBAMS Survey Report Table of Contents List of Tables ................................................................................................................................... iv List of Figures .................................................................................................................................. iv Executive Summary ......................................................................................................................... 1 Introduction ............................................................................................................................. 3 Background .............................................................................................................................. 5 CBAMS I ......................................................................................................................................... 5 CBAMS II ........................................................................................................................................ 6 2020 CBAMS Survey Climate ........................................................................................................
    [Show full text]
  • THE CENSUS in U.S. HISTORY Library of Congress of Library
    Bill of Rights Constitutional Rights in Action Foundation FALL 2019 Volume 35 No1 THE CENSUS IN U.S. HISTORY Library of Congress of Library A census taker talks to a group of women, men, and children in 1870. The Constitution requires that a census be taken every ten After the 1910 census, the House set the total num- years. This means counting all persons, citizens and ber of House seats at 435. Since then, when Congress noncitizens alike, in the United States. In addition to reapportions itself after each census, those states gain- conducting a population count, the census has evolved to collect massive amounts of information on the growth and ing population may pick up more seats in the House at development of the nation. the expense of states declining in population that have to lose seats. Why Do We Have a Census? Who is counted in apportioning seats in the House? The original purpose of the census was to determine The Constitution originally included “the whole Number the number of representatives each state is entitled to in of free persons” plus indentured servants but excluded the U.S. House of Representatives. The apportionment “Indians not taxed.” What about slaves? The North and (distribution) of seats in the House depends on the pop- South argued about this at the Constitutional Conven- ulation of each state. Every state is guaranteed at least tion, finally agreeing to the three-fifths compromise. one seat. Slaves would be counted in each census, but only three- After the first census in 1790, the House decided a fifths of the count would be included in a state’s popu- state was allowed one representative for each approxi- lation for the purpose of House apportionment.
    [Show full text]
  • Survey Nonresponse Bias and the Coronavirus Pandemic∗
    Coronavirus Infects Surveys, Too: Survey Nonresponse Bias and the Coronavirus Pandemic∗ Jonathan Rothbaum U.S. Census Bureau† Adam Bee U.S. Census Bureau‡ May 3, 2021 Abstract Nonresponse rates have been increasing in household surveys over time, increasing the potential of nonresponse bias. We make two contributions to the literature on nonresponse bias. First, we expand the set of data sources used. We use information returns filings (such as W-2's and 1099 forms) to identify individuals in respondent and nonrespondent households in the Current Population Survey Annual Social and Eco- nomic Supplement (CPS ASEC). We link those individuals to income, demographic, and socioeconomic information available in administrative data and prior surveys and the decennial census. We show that survey nonresponse was unique during the pan- demic | nonresponse increased substantially and was more strongly associated with income than in prior years. Response patterns changed by education, Hispanic origin, and citizenship and nativity. Second, We adjust for nonrandom nonresponse using entropy balance weights { a computationally efficient method of adjusting weights to match to a high-dimensional vector of moment constraints. In the 2020 CPS ASEC, nonresponse biased income estimates up substantially, whereas in other years, we do not find evidence of nonresponse bias in income or poverty statistics. With the sur- vey weights, real median household income was $68,700 in 2019, up 6.8 percent from 2018. After adjusting for nonresponse bias during the pandemic, we estimate that real median household income in 2019 was 2.8 percent lower than the survey estimate at $66,790. ∗This report is released to inform interested parties of ongoing research and to encourage discussion.
    [Show full text]
  • New Additions for October
    Additions From 08/01/15 through 10/29/15 Group: Archives METH RM Understanding our new United 264.07602 C337u Methodist hymnal. Case, Riley B. Bristol Books, 1989. 3008213 METH RM Provident 287.632 S427r Restoring Methodism : Scott, James B. Publishing, 2006. 3008214 METH RM 378.768 M379y Martin Methodist College 1967 Yearbook : 3007638 METH RM 378.768 M379y Martin Methodist College 2000 Yearbook : 3007639 METH RM 378.768 M379y Martin Methodist College 2001 Yearbook : 3007640 METH RM 378.768 M379y Martin Methodist College 2004 Yearbook : 3007641 METH RM 378.768 M379y Martin Methodist College 2007 Yearbook : 3007642 METH RM 378.768 M379y Martin Methodist College 2008 Yearbook : 3007680 Group: General Collection The University Bennett, W. of Chicago 071.30 B472w When the press fails : Lance. Press, 2007. 3008258 The paradoxical structure of Wilhelmsen, Transaction 111.1 W678p existence. Frederick D. Publishers, 2015. 3008209 Jones and 155.9 S453m Seaward, Brian Bartlett +CD Managing stress : Luke. Publishers, 2009. 3008799 158.1 H524l Louder than words : Henry, Todd. Portfolio/Penguin, 2015. 3008840 200.922 H749f Four women, three faiths : Holmes, Cecile S. Harbor House, 2006. 3008216 220.77 N523n Abingdon v.1 The New Interpreter's Bible : Press, 1994-. 3007733 220.77 N523n Abingdon v.10 The New Interpreter's Bible : Press, 1994-. 3008221 220.77 N523n Abingdon v.11 The New Interpreter's Bible : Press, 1994-. 3008227 220.77 N523n Abingdon v.12 The New Interpreter's Bible : Press, 1994-. 3008224 220.77 N523n Abingdon v.2 The New Interpreter's Bible : Press, 1994-. 3008223 220.77 N523n Abingdon v.3 The New Interpreter's Bible : Press, 1994-.
    [Show full text]
  • Netflix and the Development of the Internet Television Network
    Syracuse University SURFACE Dissertations - ALL SURFACE May 2016 Netflix and the Development of the Internet Television Network Laura Osur Syracuse University Follow this and additional works at: https://surface.syr.edu/etd Part of the Social and Behavioral Sciences Commons Recommended Citation Osur, Laura, "Netflix and the Development of the Internet Television Network" (2016). Dissertations - ALL. 448. https://surface.syr.edu/etd/448 This Dissertation is brought to you for free and open access by the SURFACE at SURFACE. It has been accepted for inclusion in Dissertations - ALL by an authorized administrator of SURFACE. For more information, please contact [email protected]. Abstract When Netflix launched in April 1998, Internet video was in its infancy. Eighteen years later, Netflix has developed into the first truly global Internet TV network. Many books have been written about the five broadcast networks – NBC, CBS, ABC, Fox, and the CW – and many about the major cable networks – HBO, CNN, MTV, Nickelodeon, just to name a few – and this is the fitting time to undertake a detailed analysis of how Netflix, as the preeminent Internet TV networks, has come to be. This book, then, combines historical, industrial, and textual analysis to investigate, contextualize, and historicize Netflix's development as an Internet TV network. The book is split into four chapters. The first explores the ways in which Netflix's development during its early years a DVD-by-mail company – 1998-2007, a period I am calling "Netflix as Rental Company" – lay the foundations for the company's future iterations and successes. During this period, Netflix adapted DVD distribution to the Internet, revolutionizing the way viewers receive, watch, and choose content, and built a brand reputation on consumer-centric innovation.
    [Show full text]
  • Navigating Housing Development in the New Era Thursday, May 9, 2019 General Session; 9:00 – 10:30 A.M
    Navigating Housing Development in the New Era Thursday, May 9, 2019 General Session; 9:00 – 10:30 a.m. Barbara Kautz, Partner, Goldfarb & Lipman Diana Varat, Of Counsel, Richards, Watson & Gershon DISCLAIMER: These materials are not offered as or intended to be legal advice. Readers should seek the advice of an attorney when confronted with legal issues. Attorneys should perform an independent evaluation of the issues raised in these materials . Copyright © 2019, League of California Cities®. All rights reserved. This paper, or parts thereof, may not be reproduced in any form without express written permission from the League of California Cities®. For further information, contact the League of California Cities® at 1400 K Street, 4th Floor, Sacramento, CA 95814. Telephone: (916) 658-8200. League of California Cities® 2019 Spring Conference Hyatt Regency Monterey Notes:______________________________________________ ____________________________________________________ ____________________________________________________ ____________________________________________________ ____________________________________________________ ____________________________________________________ ____________________________________________________ ____________________________________________________ ____________________________________________________ ____________________________________________________ ____________________________________________________ ____________________________________________________ ____________________________________________________
    [Show full text]
  • HOME ECONOMICS Five New Models for Domestic Life Days Decades
    HOME ECONOMICS Five new models for domestic life Months Years Hours Days Decades British Pavilion, Venice Architecture Biennale 2016 en it HOME ECONOMICS proposes new models for the frontline of British architecture: the home. HOME ECONOMICS is the science of household management. It intervenes directly in the architecture of the home, responding to changes in life and social norms through the design of the everyday. HOME ECONOMICS asks urgent questions about the role of housing and domestic space in the material reality of familiar life. HOME ECONOMICS is a truly collaborative proposal challenging financial models, categories of ownership, forms of life, social and gender power relations. HOME ECONOMICS understands that in housing there can be no metaphors. Each model in Home Economics is a proposition driven by the conditions imposed on domestic life by varying periods of occupancy. They each address different facets of how we live today – from whether we can prevent property speculation, to whether sharing can be a form of luxury rather than a compromise. Home Economics presents five These models have been developed new models for domestic life curated in an intensely pragmatic way, through five periods of time. These working with architects, artists, timescales – Hours, Days, Months, developers, filmmakers, financial Years and Decades – correspond institutions and fashion designers. to how long each model is to be It is the first exhibition on called “home”. The projects appear architecture to be curated through as full-scale 1:1 interiors in the time spent in the home, and is British Pavilion, displaying dedicated to exploring alternatives architectural proposals as a direct to conventional domestic architecture.
    [Show full text]
  • Weekly Specials
    The Goodland Star-News / Tuesday, May 11, 2004 5 abigail dustry. Little did I know that the let- sighted to expect all heavy-set remember the 1950s know what real as to why those sharp little hooks are Women tired ter would hit a nerve with so many women to be farsighted — or limber. torture is. That was the day of the always right in the dead center of our van buren women. My cup runneth over ... DEAR ABBY: I am very slender bullet-shaped bra! No wonder the backs. We know it’s to keep us gals Read on: and small-busted. Underwire bras first act of rebellion in the women’s from relaxing for even a minute. It’s of burden of DEAR ABBY: While you’re on hurt. Just try to find a 34-B that liberation movement was the burn- pretty hard to lean back and feel com- •dear abby the subject of bras, may I add my 2 doesn’t have underwires. — BRA- ing of bras. — RUTH L. IN FRESNO fortable with those little devils frac- bad bra design cents? I want to tell you how incon- LESS IN OKLAHOMA DEAR RUTH L.: We don’t have turing your spine! I’m sure I’m not DEAR ABBY: “Double-Jointed a woman is a 42-D (or more) and re- venient it is for large-sized women DEAR BRA-LESS: Do what I do. to look back to the ’50s to remember the only one complaining. — DIS- in Dayton,” who complained about quires a bra every waking moment, — 200 pounds — when our size is al- Emancipate yourself by using a ra- those bras; all we have to do is rent GUSTED CUSTOMER how difficult it is to buy a bra, she has a choice of — white.
    [Show full text]
  • House Rules for Public Housing
    House Rules for Public Housing The House Rules (“Rules”) of the City of Chandler Housing and Redevelopment Division (the “City’s Housing Office”) are incorporated into the Lease by reference. Tenants agree to comply with the Rules, Admissions and Continued Occupancy Policy (ACOP) and Lease. These Rules are reasonably related to the safety, care and cleanliness of the building, and the safety, comfort and convenience of the tenants. Failure to comply may lead to lease termination. I) CITY OF CHANDLER’S HOUSING RESPONSIBILITIES: A) These Rules will be applied fairly and uniformly to all tenants. B) City’s Housing staff and representatives/designees of the U.S. Department of Housing and Urban Development (“HUD”) will inspect each unit at least annually to determine compliance with Uniform Physical Conditions Standards (“UPCS”). Upon completion of an inspection, Housing staff will inform the tenant the specific correction(s) required for unit compliance. If the first inspection finds areas of non-compliance, Housing staff will inform the tenant that training is available if needed for compliance. Housing staff will schedule a second inspection within a reasonable period of time. Failure of a second inspection constitutes a serious violation of the Lease. Housing staff has the right to inspect as many times as it deems necessary, with appropriate notice to the tenant. II) TENANT’S RESPONSIBILITIES: A) The tenant is required to abide by these Rules. Failure to abide by the Rules may result in termination of the Lease. B) OUTSIDE THE UNIT, the tenant must: 1) Keep the yard free of debris and trash.
    [Show full text]