This study provides a description of state and local tenant right to counsel policies. From July 2017 through June 2024, five states, 17 cities, and one county passed legislation to formally create a right to legal counsel in eviction proceedings. These policies contain heterogeneous provisions, including their intended purposes, design and administration requirements, eligibility criteria, and when the right is triggered in the eviction process. Investigators applied longitudinal policy surveillance, legal mapping, and legal analysis techniques to describe state and local tenant right to counsel laws in 23 jurisdictions. The resulting study includes the requirements and characteristics of tenant right to counsel law, such as policy justification, dates of significance (e.g., passage, effect, implementation), program administration, eligibility criteria, court processes, and community engagement requirements, among other variables.

There is considerable current interest in policy solutions to address the post-pandemic rise in evictions experienced in many communities. Some have advocated expanding access to legal counsel as one solution: in the U.S., tenants usually face eviction on their own, while landlords are typically represented by an attorney. Although it seems intuitive that legal representation in housing court would help tenants facing eviction, measuring the effects of counsel is quite challenging, because represented and unrepresented tenants are dissimilar across many dimensions, including wealth. A handful of randomized experiments suggest lawyers have appreciable impacts in housing court, but results are mixed, and these studies’ generalizability to the larger universe of civil legal housing assistance programs remains uncertain. In this Essay, we address that gap through a quasi-experimental evaluation of the Legal Services Corporation (LSC), the nation’s largest civil legal aid provider that serves over 1.7 million people each year. We employ Census data covering millions of households and exploit an eligibility rule that limits LSC services to households earning less than 125 percent of the federal poverty level. Using several methodological approaches, including regression-discontinuity, differences-in-differences, and a dose-response analysis, we demonstrate that access to civil legal aid improves housing stability. Our estimates suggest that LSC enables 75,000 households to maintain their housing each year at a rough cost of around $2,000 per prevented move. These impacts are on par with those observed in high-quality randomized trials, suggesting that civil legal aid, unlike many other interventions, does not lose efficacy with scale. Our large sample sizes allow us to measure how impacts of civil legal access vary for particular population subgroups, something not possible in prior work. Access to civil legal aid is particularly beneficial for seniors aged 65+, people with less than a high school degree, Asians, and people who do not speak English well. Our findings highlight the important role that funding legal aid can play in curbing housing instability and homelessness. Though eviction defense models vary, what matters the most is having an attorney.

""" _HOMEPAGE = "" _URLS = { "questions": "data/questions.json.zip", "questions_aux": "data/questions_aux.json.zip", "statutes": "data/statutes.tsv.zip", }

_CONFIGS = {}

_CONFIGS["questions"] = { "description": "Questions about housing law.", "features" : Features({ 'idx': Value('int32'), 'state': Value('string'), 'question': Value('string'), 'answer': Value('string'), 'question_group': Value('int32'), 'statutes': [{ 'statute_idx': Value('int32'), 'citation': Value('string'), 'excerpt': Value('string'), }], 'original_question': Value('string'), 'caveats': Sequence(Value('string')), }), "license": None, }

_CONFIGS["questions_aux"] = { "description": "An auxilliary set of larger questions about housing law, without statutory annotations.", "features" : Features({ 'idx': Value('int32'), 'state': Value('string'), 'question': Value('string'), 'answer': Value('string'), 'question_group': Value('int32'), 'statutes': Sequence({ 'citation': Value('string'), 'excerpt': Value('string'), }), 'original_question': Value('string'), 'caveats': Sequence(Value('string')), }), "license": None, }

_CONFIGS["statutes"] = { "description": "Corpus of statutes", "features": Features({ "citation": datasets.Value("string"), "path": datasets.Value("string"), "state": datasets.Value("string"), "text": datasets.Value("string"), "idx": datasets.Value("int32"), }), "license": None, }

class HousingQA(datasets.GeneratorBasedBuilder):

Monthly statistics regarding utilization of and applications for multi-agency emergency housing assistance as required by Local Law 37 of 2011. These reporting requirements were amended and replaced by Local Law 79 of 2022. This dataset will not be updated but can be used for comparison with Local Law 79 of 2022 here: https://data.cityofnewyork.us/City-Government/Local-Law-79-2022-Temporary-Housing-Assistance-Usa/jiwc-ncpi

The Temporary Housing Assistance Report provides a monthly overview on emergency housing assistance usage, as codified in section 3-11.6 of the New York City Administrative Code (“Ad. Code”) through adoption of Local Law 79 of 2022 (“Local Law 79”) and Local Law 136 of 2024 (“Local Law 136”). Local Law 79 requires City agencies to report on, among other metrics, the utilization of and applications for multi-agency emergency housing assistance and exists from City-administered facilities. Local Law 136 builds on Local Law 79 to mandate further reporting on domestic violence emergency and tier II shelters.

Housing Law No. 65/2014/QH13.

The Developer Selection data table Includes information on developer selection methods for each Local Law 44 Housing Development Project. This information is reported pursuant to Local Law 44 of 2012, and is part of the Housing Projects Receiving City Financial Assistance (Local Law 44) collection of data tables.

The Development Team data table includes development team information for the developer (Borrower Legal Entity), GC, and subcontractors for each Local Law 44 Housing Development Project. This information is reported pursuant to Local Law 44 of 2012, and is part of the Housing Projects Receiving City Financial Assistance (Local Law 44) collection of data tables.

This dataset is about books. It has 1 row and is filtered where the book is Housing allocation and homelessness : law & practice. It features 7 columns including author, publication date, language, and book publisher.

The Projects data table contains information about Housing Development Projects about which HPD is required to report pursuant to Local Law 44 of 2012. This includes general project information such as start and completion dates, units, Borrower Legal Entity, general contractor (GC), and prevailing wage information. There is a one-to-one relationship between this information and the project. This is part of the Housing Projects Receiving City Financial Assistance (Local Law 44) collection of data tables.

The Rent Affordability data table includes units disaggregated by rent affordability for each building in a Local Law 44 Housing Development Project. This information is reported pursuant to Local Law 44 of 2012, and is part of the Housing Projects Receiving City Financial Assistance (Local Law 44) collection of data tables.

Housing Prices and Access to Cannabis

A comparison of legal and non-legal states

About this dataset

The legal cannabis industry is booming, and it's having a major impact on housing prices across the country. In states where recreational cannabis sales are legal, prices have skyrocketed. But what about in states where it is not?

This dataset compare housing prices in legal and non-legal states, in order to determine whether or not there is a correlation between the two. Are houses in legal states really worth more? Or is something else at play?

Download the dataset and take a closer look to find out!

• State: The state in which the housing data was collected
• HPI_AT_BDL_national: The national average home price index (HPI) value for that state
• HPI_AT_BDL_state: The statewide home price index (HPI) value for that state
• legal: A binary value indicating whether or not recreational cannabis sales are legal in that state

Research Ideas

• Research whether or not there is a correlation between housing prices and states where recreational cannabis sales are legal.
• Compare housing prices in states where recreational cannabis sales are legal and those where they are not, in order to determine if there is a difference between the two groups.
• Examine if there is a relationship between changes in housing prices and changes in the legal status of recreational cannabis sales in a state

Financial overview and grant giving statistics of Law Center for Better Housing

This contains 9 data tables with information on housing development projects that have received financial assistance from the City from 2009 through 2012. These tables include project- and building-level data; funding information; rent and affordability by unit; and information about the developer (Borrower Legal Entity), general contractor, and subcontractors. HPD is required to report out on projects that meet the Housing Development Project criteria as defined by Local Law 44 of 2012. Because this data was collected before the Law was enacted, it is not as robust as the data collected from 2013 onward [https://data.cityofnewyork.us/browse?Data-Collection_Data-Collection=HPD+Local+Law+44]. For more information on Local Law 44, please see HPD's Local Law 44 webpage: [https://www1.nyc.gov/site/hpd/services-and-information/local-law-44.page].

Expired or Dilapidated multi-apartment buildings are one of the main problems in post-Soviet countries. Although different countries have periodically developed different ways to solve the problem, it has not been possible to solve it until new reform, because the analysis of the current practice shows that the only way to solve the problem is to dismantle the dilapidated multi-apartment residential buildings and build new ones instead. The present article discusses the history of the development of the housing system in Georgia, the preconditions of the housing crisis, the existing social programs in Tbilisi Municipality and the reform aimed at the gradual replacement of dilapidated houses. The article focuses on the international experience related to the management of the housing fund, including in the countries of the post-Soviet space. Scope of powers of the state, municipality and owners, prerequisites for replacement of damaged residential houses, decision-making procedure are discussed. The replacement process, the general characteristics of the multi-unit residential buildings subject to replacement, and the challenges faced by the social program are described.

The LIHTC data table includes Low Income Housing Tax Credit (LIHTC) allocation amounts and types for which the project is eligible per the Determination of Credit Eligibility (DOCE) made by HPD, for those LIHTC allocations that meet the definition of City Financial Assistance for each Local Law 44 Housing Development Project. This information is reported pursuant to Local Law 44 of 2012, and is part of the <a Housing Projects Receiving City Financial Assistance (Local Law 44) collection of data tables.

The Funding data table includes funding amounts, name and type for those funds that meet the definition of City Financial Assistance for each Local Law 44 Housing Development Project. This information is reported pursuant to Local Law 44 of 2012, and is part of the Housing Projects Receiving City Financial Assistance (Local Law 44) collection of data tables.

The Department of Housing Preservation and Development (HPD) Housing Litigation Division (HLD) initiates' actions in the Housing Court against owners of privately-owned buildings to enforce compliance with the housing quality standards contained in the New York State Multiple Dwelling Law and the New York City Housing Maintenance Code. HLD attorneys also represent HPD when tenants initiate actions against private owners. HPD is automatically named as party to such actions. The goal of these court proceedings is to obtain enforceable Orders to Correct, Civil Penalties (fines) and Contempt Sanctions, compelling owners to comply with the Housing Code.

aachen-kreis aachen-krfr_-stadt bielefeld-krfr_-stadt bochum-krfr_-stadt bonn-krfr_-stadt borken-kreis bottrop-krfr_-stadt coesfeld-kreis dortmund-krfr_-stadt du_ren-kreis du_sseldorf-krfr_-stadt duisburg-krfr_-stadt ennepe-ruhr-kreis essen-krfr_-stadt euskirchen-kreis gelsenkirchen-krfr_-stadt gu_tersloh-kreis hagen-krfr_-stadt hamm-krfr_-stadt heinsberg-kreis herford-kreis herne-krfr_-stadt ho_xter-kreis hochsauerlandkreis kleve-kreis ko_ln-krfr_-stadt krefeld-krfr_-stadt kreisfreie-sta_dte-und-kreise leverkusen-krfr_-stadt lippe-kreis ma_rkischer-kreis mettmann-kreis minden-lu_bbecke-kreis mo_nchengladbach-krfr_-stadt mu_lheim-an-der-ruhr-krfr_-stadt mu_nster-krfr_-stadt oberbergischer-kreis oberhausen-krfr_-stadt olpe-kreis paderborn-kreis recklinghausen-kreis remscheid-krfr_-stadt rhein-erft-kreis rhein-kreis-neuss rhein-sieg-kreis rheinisch-bergischer-kreis siegen-wittgenstein-kreis soest-kreis solingen-krfr_-stadt sta_dteregion-aachen-einschl_-stadt-aachen steinfurt-kreis stichtag unna-kreis viersen-kreis warendorf-kreis wesel-kreis wohngeldrechtliche-teilhaushalte-in-mischhaushalten wohngeldstatistik wuppertal-krfr_-stadt

Public Law 94-171, enacted in 1975, requires the Census Bureau to provide redistricting data in a format requested by state governments. Within one year following the 1990 decennial Census (by April 1, 1991), the Census Bureau provided the governor and legislature of each state with the population data needed to redraw legislative districts. This collection contains the same substantive and geographic variables as the original Public Law 94-171 files [see CENSUS OF POPULATION AND HOUSING, 1990 [UNITED STATES]: PUBLIC LAW (P.L.) 94-171 DATA (ICPSR 9516)] but with the population counts adjusted for undernumeration. Adjusted Public Law 94-171 counts are supplied for a sample of one-half of blocks in the United States and a complete selection of areas with 1,000 or more persons. Each state file provides data for the state and its subareas in the following order: state, county, voting district, county subdivision, place, and block. Additionally, complete summaries are provided for the following geographic areas: county subdivision, place, consolidated city, state portion of American Indian and Alaska Native area, and county portion of American Indian and Alaska Native area. Area characteristics such as land area, water area, latitude, and longitude are provided. Summary statistics are provided for all persons, for persons 18 years old and over, and for housing units in the geographic areas. Counts by race and by Hispanic and non-Hispanic origin are also recorded.