This poll, fielded January 6-8, 1992, is part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. Respondents were asked to give their opinions of President George H.W. Bush and his handling of the presidency, foreign policy, and the economy. Respondents were asked to list the most important problem facing the country, which candidate they would vote for if the election for president were being held that day, and whether they were likely to vote in the Democratic or Republican presidential primary or caucus. Several questions asked for respondents' opinions of the Democratic and Republican presidential nominees, which candidates they would like to see win the nominations for president, and what issues they would like to see the candidates emphasize in their campaigns. Opinions were collected on how much George H.W. Bush cared about the general public, whether he distributed his time properly between foreign policy problems and problems at home, and whether his visits to countries in Asia would increase the number of jobs in the United States. A series of questions addressed the causes of homelessness, whether it was something the government could do a lot about, and whether respondents had personally seen a lot of homeless people in their community. Additional questions asked respondents to rate the condition of the national economy, whether they would be better off financially if George H.W. Bush was re-elected president, whether recession was something a president could do a lot about, and whether George H.W. Bush was healthy enough to be an effective president for a second term. Demographic variables include sex, race, age, household income, education level, political party affiliation, political philosophy, and voter registration status.

Welcome to the survey of PHA Engagement with Homeless Households. Department of Housing and Urban Development (HUD) has contracted with Abt Associates and its subsidiary Abt SRBI to conduct this survey. The information collected will allow researchers to explore and document how Public Housing Authorities (PHAs) currently serve homeless households. Our purpose is to establish a baseline level of PHAs’ current engagement in serving homeless households and to better understand the current opportunities provided by PHAs that have an explicit preference for homeless households. Findings of this study will enable HUD to:

--identify the variety of mechanisms that PHAs employ to target homeless households for assistance;
--highlight innovative ways in which PHAs may be engaging with homeless households;highlight the broader set of community partners providing services to homeless people.

Through this study PHAs will learn from each other about different approaches to assisting homeless families. Responses to this survey will be used for research purposes only and will NOT be used for compliance monitoring. If you have questions about the survey please call 1‐866‐626‐9805 or email us at PHASURVEY@srbi.com. If you have questions about the study itself, please contact Ms. Anne Fletcher, Social Science Analyst, Office of Policy Development and Research, HUD at (202) 402‐4347 or Ms. Eliza Kean, the Abt Associates Project Director at (301) 634‐1743.

BackgroundAddressing Citizen’s perspectives on homelessness is crucial for the design of effective and durable policy responses, and available research in Europe is not yet substantive. We aim to explore citizens’ opinions about homelessness and to explain the differences in attitudes within the general population of eight European countries: France, Ireland, Italy, the Netherlands, Poland, Portugal, Spain, and Sweden.MethodsA nationally representative telephone survey of European citizens was conducted in 2017. Three domains were investigated: Knowledge, Attitudes, and Practices about homelessness. Based on a multiple correspondence analysis (MCA), a generalized linear model for clustered and weighted samples was used to probe the associations between groups with opposing attitudes.ResultsResponse rates ranged from 30.4% to 33.5% (N = 5,295). Most respondents (57%) had poor knowledge about homelessness. Respondents who thought the government spent too much on homelessness, people who are homeless should be responsible for housing, people remain homeless by choice, or homelessness keeps capabilities/empowerment intact (regarding meals, family contact, and access to work) clustered together (negative attitudes, 30%). Respondents who were willing to pay taxes, welcomed a shelter, or acknowledged people who are homeless may lack some capabilities (i.e. agreed on discrimination in hiring) made another cluster (positive attitudes, 58%). Respondents living in semi-urban or urban areas (ORs 1.33 and 1.34) and those engaged in practices to support people who are homeless (ORs > 1.4; p

This survey monitors wellbeing among residents of the City of Kingston, Ontario who are without housing or are precariously housed. Drawing upon the CIW-Kingston, Frontenac, Lennox & Addington Community Wellbeing Survey, and focusing on a vulnerable population group, the survey is a joint initiative of the Canadian Index of Wellbeing in partnership with the Community Foundation for Kingston & Area and KFL&A Public Health. Additional community partners who contributed to the development and administration of the survey include the Kingston Poverty Reduction Group, people with lived experience of poverty, the local shelter/hot meals program, and the City of Kingston. The su rvey was administered at community shelters during a one week period of targeted implementation. Respondents were supported, as needed, to complete the survey by individuals with lived experience of poverty. These individuals had been provided with basic training on how to support survey completion. The primary objectives of this survey are to (a) gather data on the wellbeing of vulnerable or at risk residents which could be monitored over time; and, (b) to provide information on specific aspects of their wellbeing that could be used to inform policy issues and community action. The purpose of the survey is to better understand subjective perceptions of wellbeing of r esidents in the City of Kingston who are without housing or precariously housed. The survey provides information based on eight domains of wellbeing, as identified by the Canadian Index of Wellbeing: Community Vitality, Democratic Engagement, Environment, Education, Healthy Populations, Leisure and Culture, Living Standards, and Time Use. The questionnaire collected additional information about dental health, emergency preparedness, and numerous socio-economic characteristics.

Executive SummaryThe PICKUP Project represents a comprehensive effort to ascertain the needs and conditions of unhoused populations in New Mexico, engaging a partnership network that spans academic institutions, community health services, and government bodies. The PICKUP Study aims to provide actionable data to inform targeted interventions by community and public health groups, clinical organizations, and academic institutions. Research Framework and Collaborative Structure The project was structured as an academic-community-civic partnership, primarily coordinated by the UNM HSC and supported by a broad array of community and governmental partners, especially the New Mexico Department of Health. The methodology was thorough, with surveys conducted across 10 counties to capture a broad spectrum of experiences and needs. Survey Implementation and Community EngagementThe survey was implemented via direct engagement in locations frequented by unhoused individuals, such as parks, shelters, and community centers. This approach not only facilitated the collection of rich data but also helped in connecting participants with immediate resources such as clean clothes, food, and hygiene products. Incentives were key to encouraging participation.Key Findings and ImplicationsThe PICKUP Study's findings reveal critical insights into the demographic profiles, health statuses, housing trajectories, and social services engagement among the unhoused populations surveyed. Notable findings are the high levels of engagement with social service programs, significant healthcare access issues, and the substantial impact of financial instability on housing security. The data indicates a pressing need for enhanced services and supports, particularly in areas such as chronic disease management, mental health, and treatment for substance use disorders.Strategic RecommendationsBased on the study's findings, several strategic recommendations can be made:1) Enhanced Support for Health Care Access: There is a clear need for increased health care services tailored to the unhoused, particularly in providing more widespread access to primary care providers and chronic disease management resources.2) Expanded Mental Health and Substance Abuse Services: Given the high prevalence of mental health issues and substance abuse, dedicated resources for treatment and ongoing support are critical. This includes expanding access to Narcan and other overdose prevention tools.3) Economic and Housing Stability Initiatives: Financial insecurities are a significant barrier to stable housing. Programs aimed at economic empowerment, job training, and direct financial assistance can be pivotal.4) Community and Policy Engagement: Continued collaboration with community organizations and policy makers will be essential in addressing issues contributing to homelessness. This includes advocating for policy changes that increase funding and support for housing-first initiatives and other supportive services.ConclusionThe PICKUP Project demonstrates the power of collaborative research in generating insights that can drive change. By continuing to engage with and build upon the foundations laid by this initiative, there is a strong potential to make significant inroads into reducing homelessness and improving the lives of New Mexico's unhoused populations. The comprehensive data gathered provides a roadmap for targeted action and underscores the need for sustained investment in community-based solutions.

Abstract copyright UK Data Service and data collection copyright owner.

This study was undertaken to establish: the characteristics of single homeless people; the reasons why single people become and remain homeless; the accommodation and support needs and preferences of single homeless people.
Main Topics:

Demographic details (age, gender, ethnic background, education, employment, income, health, experience of institutions and the armed forces); present and previous accommodation; experience of sleeping rough; reasons for leaving last home; looking for accommodation; accommodation expectations and preferences; need for care and support.

This dataverse contains the data and supporting documents for the CCES 2014 Syracuse University. This project was supported by the National Science Foundation, Grant Number SES-1430505

Abstract

Statistical information on all aspects of the population is vital for the design, implementation, monitoring and evaluation of economic and social development plan and policy issues. Labor force survey is one of the most important sources of data for assessing the role of the population of the country in the economic and social development process. It is useful to indicate the extent of available and unutilized human resources that must be absorbed by the national economy to ensure full employment and economic wellbeing of the population. Statistics on the labor force further present the economic activity status and its relationship to other social and economic characteristics of the population. Seasonal and other variations as well as changes over time in the size, distribution, and characteristics of employed and unemployed population can be monitored using up-to-date information from labor force surveys. It serves as an input for assessing the achievements of the Millennium Development Goals (MDGs). Furthermore, labor force data is also useful as a springboard for monitoring and evaluation of the five years growth and transformation plan of the country.

Geographic coverage

The 2012 Urban Employment and Unemployment Survey (UEUS) covered all urban parts of the country except three zones of Afar, Six zones of Somali, where the residents are pastoralists.

Analysis unit

• Households
• Individuals

Universe

This survey follows household approach and covers households residing in conventional households and thus, population residing in the collective quarters such as universities/colleges, hotel/hostel, monasteries, and homeless population etc., were not covered by this survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

The list of households obtained from the 2007 population and housing census was used to select EAs. A fresh list of households from each EA was prepared at the beginning of the survey period. The list was then used as a frame to select 30 households from sample EAs.

The country was divided into two broad categories - major urban centers and other urban center categories.

Category I: In this category all regional capitals and five other major urban centers that have a high population size as compared to others were included. Each urban center in this category was considered as a reporting level. This category has a total of 16 reporting levels. To select the sample, a stratified two-stage cluster sample design was implemented. The primary sampling units were EAs of each reporting level.

Category II: Urban centers other than those under category I were grouped into this category. A stratified three stage cluster sample design was adopted to select samples from this category. The primary sampling units were urban centers and the second stage sampling units were EAs.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire was organized into seven sections. Section 1 - Area identification of the selected household Section 2 - Particulars of household members Section 3 - Economic activity status during the last seven days Section 4 - Unemployment rate and characteristics of unemployed persons Section 5 - Economic activity status the population during the last six months Section 6 - Employment in the informal sector of Employment Section 7 - Economic activity of children aged 5-17 years

A structured questionnaire was used to solicit the required data in the survey. The draft questionnaire was tested by undertaking a pretest in selected kebeles (lower administrative unit) in Addis Ababa. Based on the pretest, the content, logical flow, layout and presentation of the questionnaire was amended. The questionnaire used in the field for data collection was prepared in Amharic language. Most questions have pre coded answers and column numbers were assigned for each question.

Cleaning operations

The filled-in questionnaires that were retrieved from the field were first subjected to manual editing and coding. During the fieldwork the field supervisors and the heads of branch statistical offices have checked the filled-in questionnaires and carried out some editing. However, the major editing and coding operation was carried out at the head office. All the edited questionnaires were again fully verified and checked for consistency before they were submitted to the data entry by the subject matter experts.

Using the computer edit specifications prepared earlier for this purpose, the entered data were checked for consistencies and then computer editing, or data cleaning was made by referring back to the filled-in questionnaire. This is an important part of data processing operation in attaining the required level of data quality. Consistency checks and re-checks were also made based on frequency and tabulation results. This was done by senior programmers using CSPro software in collaboration with the senior subject experts from Manpower Statistics Team of the CSA.

Response rate

Response rate was 99.68%.

Abstract (en): This round of Eurobarometer surveys diverged from the Standard Eurobarometer measures and queried respondents on the following major areas of focus: (1) poverty and social exclusion, (2) mobile phone use, (3) economic crisis, and (4) international trade. For the first major area of focus, poverty and social exclusion, the survey queried respondents about their own definition of poverty, the extent of poverty and homelessness in their area, and whether or not respondents believed poverty had increased in their area and elsewhere. Respondents were queried about what necessities people must be able to afford to meet a minimal acceptable living standard, who is most at risk for poverty, as well as the social, political, and personal causes of poverty and homelessness. Respondents were also asked about how poverty impacts peoples' chances of completing certain activities, such as getting a good education or finding a job. Respondents were then asked whether or not they trust the European Union (EU), their governments, charities, other citizens, and miscellaneous institutions to effectively respond to poverty. Respondents were also asked to whom they assign primary responsibility for reducing or preventing poverty, what policies their governments should focus on in the future in the effort to help people out of poverty, and whether or not respondents approved of their government's existing anti-poverty measures. Respondents were also queried about their perception of social tensions between groups, and about what they have done personally to help poor people. Additionally, respondents were queried about their own living conditions, satisfaction with life, ability to keep a job, efforts to fight poverty, finances, and their own risk of falling into poverty. For the second major area of focus, mobile phone use, the survey asked respondents about whether or not they owned a mobile phone, their mobile phone use in other EU countries, and the cost of cellular phone service in those countries. For the third major area of focus, economic crisis, the survey questioned respondents about the degree to which the crisis personally affected them, how the crisis affected the EU and its policy efforts, who should bear responsibility for the crisis, who should bear the burden of response to the crisis, and how the European Parliament and other bodies should respond to the crisis. For the fourth major area of focus, international trade, the survey queried respondents on whether they pay attention to the country of origin for products they purchase, how trade impacts respondents and their countries, what European Union trade policy should be going into the future, and the European Union's international economic standing. Demographic and other background information collected includes age, gender, nationality, marital status and parental relations, left-right political self-placement, occupation, age when stopped full-time education, household composition, ownership of a fixed or a mobile telephone and other durable goods, difficulties in paying bills, level in society, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries). Please review the ICPSR codebook; "Variable Documentation" section for information concerning individual weights and the "Technical Specifications" section for general weighting information. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. In all, Eurobarometer 74.1 interviewed 26,635 citizens in the 27 countries of the European Union after the 2004/2007 enlargement (i.e. including the Accession Countries Romania and Bulgaria). All respondents were residents in the respective country, nationals and non-nationals but EU-citizens, and aged 15 and over. Respondents were expected to have sufficient command of one of the respective national language(s) to answer the questionnaire. Separate samples were drawn for Northern Ireland and East Germany. Smallest Geographic Unit: country Multistage national probability samples. 2013-07-02 Data for P...

This dataset contains two tables on the percent of household overcrowding (> 1.0 persons per room) and severe overcrowding (> 1.5 persons per room) for California, its regions, counties, and cities/towns. Data is from the U.S. Department of Housing and Urban Development (HUD), Comprehensive Housing Affordability Strategy (CHAS) and U.S. Census American Community Survey (ACS). The table is part of a series of indicators in the Healthy Communities Data and Indicators Project (HCI) of the Office of Health Equity: Healthy Communities Data and Indicators Project of the Office of Health Equity. Residential crowding has been linked to an increased risk of infection from communicable diseases, a higher prevalence of respiratory ailments, and greater vulnerability to homelessness among the poor. Residential crowding reflects demographic and socioeconomic conditions. Older-adult immigrant and recent immigrant communities, families with low income and renter-occupied households are more likely to experience household crowding. A form of residential overcrowding known as "doubling up"—co-residence with family members or friends for economic reasons—is the most commonly reported prior living situation for families and individuals before the onset of homelessness. More information about the data table and a data dictionary can be found in the About/Attachments section.The household crowding table is part of a series of indicators in the Healthy Communities Data and Indicators Project (HCI) of the Office of Health Equity. The goal of HCI is to enhance public health by providing data, a standardized set of statistical measures, and tools that a broad array of sectors can use for planning healthy communities and evaluating the impact of plans, projects, policy, and environmental changes on community health. The creation of healthy social, economic, and physical environments that promote healthy behaviors and healthy outcomes requires coordination and collaboration across multiple sectors, including transportation, housing, education, agriculture and others. Statistical metrics, or indicators, are needed to help local, regional, and state public health and partner agencies assess community environments and plan for healthy communities that optimize public health. More information on HCI can be found here: https://www.cdph.ca.gov/Programs/OHE/CDPH%20Document%20Library/Accessible%202%20CDPH_Healthy_Community_Indicators1pager5-16-12.pdf
The format of the household overcrowding tables is based on the standardized data format for all HCI indicators. As a result, this data table contains certain variables used in the HCI project (e.g., indicator ID, and indicator definition). Some of these variables may contain the same value for all observations.