Current register of all properties with a licence to be a House in Multiple Occupation in the Oxford City area, including reference, address, occupancy details and start/finish dates for the licence

The Building and Housing Register (BBR) is a nationwide register with data on all the country's buildings and homes. The information in the BBR covers, among other things, area, location, use, installations, water and drainage conditions, kitchen conditions, external wall and roofing materials, etc.

Registration data for shared housing units that are regulated by the Shared Housing Ordinance.

For information on the Shared Housing registration program, see https://www.chicago.gov/city/en/depts/bacp/supp_info/sharedhousingandaccomodationslicensing.html.

The boarding house register lists all the boarding houses registered with NSW Fair Trading. It also contains the following information:

• the name and address of the boarding house

• the name of each proprietor of the boarding house

• whether the boarding house is a general boarding house or an assisted boarding house.

Details of applications for social housing as at specified date, including type of assistance required, program type, application date and level of assessed housing need.

Note: 1) In 2019-20, the department implemented new technology information systems which has resulted in some changes to data structures and coding. Data comparison across years may be impacted. 2) Local Government Authority and State Electorate are determined based on the applicant's first locational preference.

Development of the National Register for Social Housing (NROSH) was started by the Department for Communities and Local Government (DCLG) in 2004. NROSH aimed to be a database of all social housing properties in England, with a range of details captured on each property. NROSH was transferred to the Tenant Services Authority, the social housing regulator, in April 2010 and was discontinued in May 2011. Ownership of the latest NROSH dataset passed from the TSA to the Homes and Communities Agency (HCA) when responsibility for social housing regulation passed to the Regulation Committee of the HCA in April 2012.

In addition to being out of date, the records submitted by social landlords to NROSH are of varying quantity and quality with many incomplete, inaccurate or missing records. The database may also contain a number of duplicate entries.

Two datasets are available. One is the latest NROSH database held by the HCA as at May 2011. This release contains a large subset of the full NROSH dataset (48 from 201 fields in total; for 4,826,417 unique property records). The data in this release does not include those fields where data could enable specific identification of vulnerable people or other sensitive personal data. It also excludes fields where a minimum completion threshold is not met (generally fields where less than 25% of records have data). There are still issues of quality, incomplete data, and potential duplication of records in the data that accompanies this release that HCA is not able to resolve.

Additional information, including data that falls below the minimum quality thresholds for this release, may be requested from the HCA (Referrals & Regulatory Enquiries Team, mail@homesandcommunities.co.uk).

The 48 fields included in this release are summarised and described in the two tables accompanying this metadata. The data is contained in five compressed single CSV files: NROSH Data Extract Part 1; - 2; - 3; -4 and -5. Due to the large volume of records, analysis will require database software (MS Excel will not support analysis).

Also available is a snapshot of the NROSH database held by DCLG as at March 2010. The data is that which was reported by social landlords in line with the system specifications and includes a selected set of fields on property address, type of accommodation, form of structure, number of rooms and bedspaces are included.

Abstract

The household registration system known as ho khau has been a part of the fabric of life in Vietnam for over 50 years. The system was used as an instrument of public security, economic planning, and control of migration, at a time when the state played a stronger role in direct management of the economy and the life of its citizens. Although the system has become less rigid over time, concerns persist that ho khau limits the rights and access to public services of those who lack permanent registration in their place of residence. Due largely to data constraints, however, previous discussions about the system have relied largely on anecdotal or partial information.

Drawing from historical roots as well as the similar model of China’s hukou, the ho khau system was established in Vietnam in 1964. The 1964 law established the basic parameters of the system: every citizen was to be registered as a resident in one and only household at the place of permanent residence, and movements could take place only with the permission of authorities. Controlling migration to cities was part of the system’s early motivation, and the system’s ties to rationing, public services, and employment made it an effective check on unsanctioned migration. Transfer of one’s ho khau from one place to another was possible in principle but challenging in practice.

The force of the system has diminished since the launch of Doi Moi as well as a series of reforms starting in 2006. Most critically, it is no longer necessary to obtain permission from the local authorities in the place of departure to register in a new location. Additionally, obtaining temporary registration status in a new location is no longer difficult. However, in recent years the direction of policy changes regarding ho khau has been varied. A 2013 law explicitly recognized the authority of local authorities to set their own policies regarding registration, and some cities have tightened the requirements for obtaining permanent status.

Understanding of the system has been hampered by the fact that those without permanent registration have not appeared in most conventional sources of socioeconomic data. To gather data for this project, a survey of 5000 respondents in five provinces was done in June-July 2015. The samples are representative of the population in 5 provinces – Ho Chi Minh City, Ha Noi, Da Nang, Binh Duong and Dak Nong. Those five provinces/cities are among the provinces with the highest rate of migration as estimated using data from Population Census 2009.

Geographic coverage

5 provinces – Ho Chi Minh City, Ha Noi, Da Nang, Binh Duong and Dak Nong.

Analysis unit

Household

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling for the Household Registration Survey was conducted in two stages. The two stages were selection of 250 enumeration areas (50 EAs in each of 5 provinces) and then selection of 20 households in each selected EA, resulting in a total sample size of 5000 households. The EAs were selected using Probability Proportional to Size (PPS) method based on the square number of migrants in each EA, with the aim to increase the probability of being selected for EAs with higher number of migrants. “Migrants” were defined using the census data as those who lived in a different province five years previous to the census. The 2009 Population Census data was used as the sample frame for the selection of EAs. To make sure the sampling frame was accurate and up to date, EA leaders of the sampled EAs were asked to collection information of all households regardless of registration status at their ward a month before the actual fieldwork. Information collected include name of head of household, address, gender, age of household’s head, household phone number, residence registration status of household, and place of their registration 5 years ago. All households on the resulting lists were found to have either temporary or permanent registration in their current place of residence.

Using these lists, selection of survey households was stratified at the EA level to ensure a substantial surveyed population of households without permanent registration. In each EA random selection was conducted of 12 households with temporary registration status and 8 households with permanent registration status. For EAs where the number of temporary registration households was less than 12, all of the temporary registration households were selected and additional permanent registration households were selected to ensure that each EA had 20 survey households. Sampling weights were calculated taking into the account the selection rules for the first and second stages of the survey.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire was mostly adapted from the Vietnam Household Living Standard Survey (VHLSS), and the Urban Poverty Survey (UPS) with appropriate adjustment and supplement of a number of questions to follow closely the objectives of this survey. The household questionnaire consists of a set of questions on the following contents:

• Demographic characteristics of household members with emphasis on their residence status in terms of both administrative management (permanent/temporary residence book) and real residential situation. • Education of household members. Beside information on education level, the respondents are asked whether a household member attend school as “trai-tuyen” , how much “trai-tuyen” fee/enrolment fee, and difficulty in attending schools without permanent residence status. • Health and health care, collecting information on medical status and health insurance card of household members. • Labour and employment, asking household member’s employment status in the last 30 days; their most and second-most time-consuming employment during the last 30 days; and whether they had been asked about residence status when looking for job. • Assets and housing conditions. This section collects information on household’s living conditions such as assets, housing types and areas, electricity, water and energy. • Income and expenditure of households. • Social inclusion and protection. The respondents are asked whether their household members participate in social organizations, activities, services, contribution; whether they benefit from any social project/policy; do they have any loans within the last 12 months; and to provide information about five of their friends at their residential area. • Knowledge on the Law of Residence, current regulations on conditions for obtaining permanent residence, experience dealing with residence issues, and opinion on current household registration system of the respondents.

Cleaning operations

Managing and Cleaning the Data

Data were managed and cleaned each day immediately upon being received, which occurred at the same time as the fieldwork surveys. At the end of each workday, the survey teams were required to review all of the interviews conducted and transfer collected data to the server. The data received by the main server were downloaded and monitored by MDRI staff.

At this stage, MDRI assigned a technical team to work on the data. First, the team listened to interview records and used an application to detect enumerators’ errors. In this way, MDRI quickly identified and corrected the mistakes of the interviewers. Then the technical team proceeded with data cleaning by questionnaire, based on the following quantity and quality checking criteria.

• Quantity checking criteria: The number of questionnaires must be matched with the completed interviews and the questionnaires assigned to each individual in the field. According to the plan, each survey team conducted 20 household questionnaires in each village. All questionnaires were checked to ensure that they contained all essential information, and duplicated entries were eliminated. • Quality checking criteria: Our staff performed a thorough examination of the practicality and logic of the data. If there was any suspicious or inconsistent information, the data management team re – listened to the records or contacted the respondents and survey teams for clarification via phone call. Necessary revisions would then be made.

Data cleaning was implemented by the following stages: 1. Identification of illogical values; 2. Software – based detection of errors for clarification and revision; 3. Information re-checking with respondents and/or enumerators via phone or through looking at the records; 4. Development and implementation of errors correction algorithms; The list of detected and adjusted errors is attached in Annex 6.

Outlier detection methods The data team applied a popular non - parametric method for outlier detection, which can be done with the following procedure: 1. Identify the first quartile Q1 (the 25th percentile data point) 2. Identify the third quartile Q3 (the 75th percentile data point) 3. Identify the inter-quartile range(IQR): IQR=Q3-Q1 4. Calculate lower limits (L) and upper limits (U) by the following formulas: o L=Q1-1.5*IQR o U=Q3+1.5*IQR 5. Detect outliers by the rule: An observation is an outlier if it lies below the lower bound or beyond the upper bound (i.e. less than L or greater than U)

Data Structure The completed dataset for the “Household registration survey 2015” includes 9 files in STATA format (.dta): • hrs_maindata: Information on the households, including: assets, housing, income, expenditures, social inclusion and social protection issues, household registration procedures • hrs_muc1: Basic information on the

1. Real estate presale case actual transaction registration information includes information such as the location, area, and total price of the subject property.2. This dataset is updated every 10 days. (Tamsui District)

Rental license tracking for condominiums, single-family homes, multi-family units and accessory apartments under Montgomery County Code, Chapter 29, Landlord-Tenant Regulations. This dataset is updated annually.

1. Real estate pre-sale case actual transaction registration information, including the location, area, total price, etc.2. This dataset is updated every 10 days.

This is a dataset of properties deemed to be a House of Multiple Occupation (HMO), or shared occupation as used by the council's Planning section as an evidence base for future HMO applications. The data is sourced from council tax data and is solely used by the council for planning use and is not intended to represent a definitive list of HMOs in the city.

Code descriptions

• N = Property solely occupied by full time students
• M = Halls of residence (property can only be occupied by students)
• OL = A dwelling inhabited by persons who do not constitute a single household where the owner is liable for council tax (HMO)

This dataset captures the park name, address, and county in which a maufactured home park is located; the number of site capacity and number of occupied sites; and the name and contact number for the park owner/operator. New York State Homes and Community Renewal’s (HCR) Division of Housing and Community Renewal (DHCR) oversees the registration of these parks in accordance with NYS Real Property Law Section 233 sub-section (v.) which requires owners of manufactured home parks with three or more homes register their park with DHCR.

Record of all Approved Housing Body stock in LA

This dataset captures the park name, address, and county in which a maufactured home park is located; the number of site capacity and number of occupied sites; and the name and contact number for the park owner/operator. New York State Homes and Community Renewal’s (HCR) Division of Housing and Community Renewal (DHCR) oversees the registration of these parks in accordance with NYS Real Property Law Section 233 sub-section (v.) which requires owners of manufactured home parks with three or more homes register their park with DHCR.

Real estate pre-sale house case real price registration information, including target location (de-identification), area, total price and other information.

The number of households on the Council's Housing Register