In 2023, the Ministry of Public Works and Housing built ***** flats and ***** distinctive houses in Indonesia. Distinctive houses (Rumah Khusus/Rusus) are houses that are built to meet special needs, such as housing in certain border areas or outermost islands, housing for teaching staff, medical personnel on duties, or other social purposes. The Ministry of Public Works and Housing is responsible for coordinating the development of public infrastructure and public housing in Indonesia.

List of Projects Carried Out in Ministry of Housing and Urban Development Stating the Project Title, Contracting Firm, Contract Sum in Naira and each Project Status in Edo State from 2009 - 2014.

Financial overview and grant giving statistics of Urban Ministry Housing Development Corp

Proportion of the total number of dwellings that can be built on sites that are ready to develop. Source: Communities and Local Government (CLG) Publisher: DCLG Floor Targets Interactive Geographies: Local Authority District (LAD), County/Unitary Authority, Government Office Region (GOR), National Geographic coverage: England Time coverage: 2008/09 Guidelines: Good performance will be where a Local Planning Authority can demonstrate a supply of sites that are ready to develop and on which housing schemes can be built quickly over a minimum of 5 years or more. Specifically, where LAs exceed their target for housing supply (that is when the proportion of housing supply is over 100%).

Bangladesh Govt Exp: DL: Housing data was reported at 3,235.800 BDT mn in Dec 2024. This records an increase from the previous number of 472.600 BDT mn for Nov 2024. Bangladesh Govt Exp: DL: Housing data is updated monthly, averaging 135.000 BDT mn from Dec 2001 (Median) to Dec 2024, with 274 observations. The data reached an all-time high of 38,304.000 BDT mn in Jun 2017 and a record low of -24.000 BDT mn in Jun 2011. Bangladesh Govt Exp: DL: Housing data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Bangladesh – Table BD.F004: Government Expenditure: Development Expenditure: by Ministry. The June & July 2017 data are missing due to unverified source data issue. The source confirmed the error and will be fixed as soon as the correct data is available.

The data in this bulletin sets out the market-based (i.e., average purchase prices and market rents) and income-based thresholds that are to be used to determine the eligibility of a residential unit for an exemption from development charges and exclusions from the maximum community benefits charge and parkland dedication requirements. This bulletin is effective as of June 1, 2024, and is applicable across Ontario.

Units to which the exemptions and exclusions apply must be subject to agreements that provide for them to remain affordable residential units for 25 years. Units must also be sold or rented on an arm's length basis.

Planning - Development Control Statistics - Live tables on Development Control Please note: The annual development control statistics have been discontinued.

Ministers' and associate ministers' office expenses are disclosed to the public on a monthly basis, posted by the end of the following month. Expenses reported are those of the ministers and associate ministers, their executive assistants and their administrative support staff, and are reported in the following categories: meals, accommodation and travel; hospitality and working sessions; and goods, supplies and services.

■Purpose and Overview This project subsidizes the development of LCCM houses, leading Decarbonization houses, in order to promote the conversion of houses into Decarbonization houses in order to achieve carbon neutrality by 2050. Only projects selected for the FY 2021 Sustainable Building Initiative (Ministry of CO, 2 Initiative) can apply.

■ Contact: LCCM Housing Improvement Project Implementation Support Office TEL 03-6803-6683 Reception: Monday to Friday (Excluding holidays and year-end and New Year holidays) 9: 30~17:00 (except 12:00~13: 00) E-Mail info@lccm-shien.jp

■ Reference URL LCCM Housing Improvement Project Implementation Support Office website https://lccm-shien.jp/ ※ For the manual and format, please refer to the above website.

China Social Housing: Number of Flat Completed: Planned data was reported at 4,800.000 Unit th in 2015. This stayed constant from the previous number of 4,800.000 Unit th for 2014. China Social Housing: Number of Flat Completed: Planned data is updated yearly, averaging 4,800.000 Unit th from Dec 2012 (Median) to 2015, with 4 observations. The data reached an all-time high of 5,000.000 Unit th in 2012 and a record low of 4,700.000 Unit th in 2013. China Social Housing: Number of Flat Completed: Planned data remains active status in CEIC and is reported by Ministry of Housing and Urban-Rural Development. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKH: No of Flat Completed: Social Housing.

India Union Budget: Central Sector Schemes: Revenue: Ministry of Housing and Urban Affairs: Public Health Engineering (PHE) Sector Development Scheme data was reported at 20.000 INR mn in 2026. This stayed constant from the previous number of 20.000 INR mn for 2025. India Union Budget: Central Sector Schemes: Revenue: Ministry of Housing and Urban Affairs: Public Health Engineering (PHE) Sector Development Scheme data is updated yearly, averaging 19.700 INR mn from Mar 2022 (Median) to 2026, with 4 observations. The data reached an all-time high of 20.000 INR mn in 2026 and a record low of 16.600 INR mn in 2022. India Union Budget: Central Sector Schemes: Revenue: Ministry of Housing and Urban Affairs: Public Health Engineering (PHE) Sector Development Scheme data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under India Premium Database’s Government and Public Finance – Table IN.FB036: Union Budget: Central Sector Schemes: Revenue. 2025-2026 – Budget Estimates 2024-2025 – Revised Estimates 2023-2022 & Before – Actuals

This report summarizes a 5-day training program on the PRC’s experience in urban development and planning, for the benefit of key officials of the six countries of the Greater Mekong Subregion (GMS)—Cambodia, the PRC, the Lao People’s Democratic Republic, Myanmar, Thailand, and Viet Nam. The training program, which was held on 11–15 May 2015 in Tengchong, Yunnan Province, PRC, was jointly organized by ADB, and the Ministry of Finance and the Ministry of Housing and Urban-Rural Development of the PRC. The city administration of Tengchong provided strong support. The training program addressed core issues of vital interest to all GMS countries. It is actually recognized, however, that these issues are not necessarily unique to GMS countries: in fact, they are relevant to most, if not all, developing countries in Asia.

Financial overview and grant giving statistics of St. Paul Baptist Church Housing Development Corporation

Minister for Housing and Urban Development Damien English TD, today (7 March, 2018) published the sixth annual progress report and seventh housing survey on tackling the issue of unfinished housing developments. This reveals a '91% reduction in the unfinished developments since 2010 from almost 3,000 to 256. 2017 saw the resolution of 165 developments'. Minister English was speaking at the launch of the report that includes the results from the 2017 National Housing Development Survey which tracks progress on unfinished housing developments since 2010. Among the key findings of this year's survey are: 91% decrease in the number of unfinished developments over the last 7 years; 165 developments resolved in 2017; 256 unfinished developments remaining; 74% of local authority areas now contain less than 10 occupied?] unfinished developments; and Four local authority areas have no occupied unfinished developments.

Minister for Housing and Urban Development Damien English TD, today (7 March, 2018) published the sixth annual progress report and seventh housing survey on tackling the issue of unfinished housing developments. This reveals a “91% reduction in the unfinished developments since 2010 from almost 3,000 to 256. 2017 saw the resolution of 165 developments”. Minister English was speaking at the launch of the report that includes the results from the 2017 National Housing Development Survey which tracks progress on unfinished housing developments since 2010. Among the key findings of this year’s survey are: 91% decrease in the number of unfinished developments over the last 7 years; 165 developments resolved in 2017; 256 unfinished developments remaining; 74% of local authority areas now contain less than 10 occupied?] unfinished developments; and Four local authority areas have no occupied unfinished developments.

Bangladesh Govt Exp: Housing data was reported at 710.000 BDT mn in Dec 2024. This records a decrease from the previous number of 760.000 BDT mn for Nov 2024. Bangladesh Govt Exp: Housing data is updated monthly, averaging 530.000 BDT mn from Dec 2001 (Median) to Dec 2024, with 273 observations. The data reached an all-time high of 6,840.000 BDT mn in Jun 2024 and a record low of -2,651.000 BDT mn in Jun 2017. Bangladesh Govt Exp: Housing data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Bangladesh – Table BD.F003: Government Expenditure: Non Development Expenditure: by Ministry. The June & July 2017 data are missing due to unverified source data issue. The source confirmed the error and will be fixed as soon as the correct data is available.

The National Housing Authority is a state enterprise under the Ministry of Social Development and Human Security. It was established on February 12, 1973, according to the Revolutionary Council Announcement No. 316. It operates under the National Housing Authority Act B.E. 2537 (1994) and its Amendment (No. 2) B.E. 2550 (2007). Its objectives are to provide housing for people to have residences, along with providing infrastructure, public utilities, and facilities for residents. It also aims to maintain, improve, and develop the quality of life of residents in terms of social, economic, and environmental aspects; provide financial assistance to people who wish to have their own housing or who wish to participate in activities with the National Housing Authority in providing housing for people to rent, lease-purchase, or purchase; and engage in businesses related to the construction of buildings or land acquisition, renovation, demolition, or relocation of deteriorated areas to improve living conditions, environment, economy, and society. These are the objectives of the National Housing Authority. Translated from Thai Original Text: การเคหะแห่งชาติเป็นหน่วยงานรัฐวิสาหกิจ สังกัดกระทรวงการพัฒนาสังคมและความมั่นคงของมนุษย์ ก่อตั้งขึ้นเมื่อ วันที่ 12 กุมภาพันธ์ 2516 ตามประกาศคณะปฏิวัติ ฉบับที่ 316 ดำเนินงานภายใต้พระราชบัญญัติ การเคหะแห่งชาติ พ.ศ. 2537 และฉบับ แก้ไขเพิ่มเติม (ฉบับที่ 2) พ.ศ. 2550 มีวัตถุประสงค์เพื่อจัดให้มีเคหะ เพื่อให้ประชาชนได้มีที่อยู่อาศัย พร้อมทั้งจัดให้มีระบบ สาธารณูปโภค สาธารณูปการ สิ่งอำนวยความสะดวก แก่ผู้อยู่อาศัย ทำนุบำรุง ปรับปรุง และพัฒนาผู้อยู่อาศัยให้มีคุณภาพชีวิตที่ดีขึ้นทั้งทางสังคม เศรษฐกิจ และสิ่งแวดล้อม ให้ความช่วยเหลือทางการเงินแก่ประชาชนที่ประสงค์จะมีเคหะของตนเอง หรือผู้ที่ประสงค์จะร่วมดำเนินกิจกรรมกับการเคหะแห่งชาติในการจัดให้มีเคหะเพื่อให้ประชาชนเช่า เช่าซื้อ หรือซื้อ และประกอบธุรกิจเกี่ยวกับ การก่อสร้าง อาคารหรือจัดหาที่ดิน การปรับปรุง รื้อ หรือย้ายแหล่งเสื่อมโทรม เพื่อให้มีสภาพการอยู่อาศัย สิ่งแวดล้อม เศรษฐกิจ และสังคมที่ดีขึ้น วัตถุประสงค์การเคหะแห่งชาติ

The InfoLink Library collection includes monographs, books, reports and periodicals. The catalogue contains information used by ministry staff for research, policy and program development.

Abstract

The Kenya National Housing Survey (KNHS) was carried out in 2012 to 2013 in 44 counties of the Republic of Kenya. It was undertaken through the NASSEP (V) sampling frame. The objectives of the 2012/2013 KNHS were to: improve the base of housing statistics and information knowledge, provide a basis for future periodic monitoring of the housing sector, facilitate periodic housing policy review and implementation, assess housing needs and track progress of the National Housing. Production goals as stipulated in the Kenya Vision 2030 and its first and second Medium Term Plan, provide a basis for specific programmatic interventions in the housing sector particularly the basis for subsequent Medium Term frameworks for the Kenya Vision2030; and facilitate reporting on the attainment of the Millennium Development Goals (MDG) goals particularly goal 7, target 11.

The 2012/2013 KNHS targeted different players in the housing sector including renters and owner occupiers, housing financiers, home builders/developers, housing regulators and housing professionals. Whereas a census was conducted among regulators and financiers, a sample survey was conducted on renters and owner occupiers, home builders/developers and housing professionals. To cover renters and owner occupiers, the survey was implemented on a representative sample of households - National Sample Survey and Evaluation Program V (NASSEP V) frame which is a household-based sampling frame developed and maintained by KNBS - drawn from 44 counties in the country, in both rural and urban areas. Three counties namely Wajir, Garissa and Mandera were not covered because the household-based sampling frame had not been created in the region by the time of the survey due to insecurity.

Considering that the last Housing Survey was carried out in 1983, it is expected that this report will be a useful source of information to policy makers, academicians and other stakeholders. It is also important to note that this is a basic report and therefore there is room for further research and analysis of various chapters in the report. This, coupled with regularly carrying out surveys, will enrich the data available in the sector which in turn will facilitate planning within the government and the business community.

One of the main challenges faced during the survey process was insufficient information during data collection. This could serve as a wake-up call to all county governments on the need to keep proper records on such issues like the number of housing plans they approve, housing finance institutions within their counties, the number of houses that are built within the county each year and so on since they have the machinery all the way to sub-location level.

Geographic coverage

The survey covered all the districts in Kenya. The data representativeness are at the following levels -National -Urban/Rural -Provincial -District

Analysis unit

• Households
• Indviduals

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame utilized in the renters and owner occupiers and home builders/ developers was the current National Sample Survey and Evaluation Program V (NASSEP V) frame which is a household based sampling frame developed and maintained by KNBS. During the 2009 population and housing census, each sub-location was subdivided into approximately 96,000 census Enumeration Areas (EAs).

In cognizance of the devolved system of government and the need to have a static system of administrative boundaries, NASSEP V utilizes the county boundaries. The frame was implemented using a multi-tiered structure, in which a set of 4 sub-samples were developed. It is based on the list of EAs from the 2009 Kenya Population and Housing Census. The frame is stratified according to county and further into rural and urban areas. Each of the sub-samples is representative at county and at national (i.e. urban/rural) level and contains 1,340 clusters. NASSEP V was developed using a two-stage stratified cluster sampling format with the first stage involving selection of Primary Sampling Units (PSUs) which were the EAs using Probability Proportional to Size (PPS) method. The second stage involved the selection of households for various surveys.

2012/2013 KNHS utilized all the clusters in C2 sub-sample of the NASSEP V frame excluding Wajir, Garissa and Mandera counties. The target for the household component of the survey was to obtain approximately 19,140 completed household interviews.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

The survey implemented a Paper and Pencil Interviewer (PAPI) technology administered by trained enumerators while data entry was decentralised to collection teams with a supervisor. Data was keyed from twelve (12) questionnaires namely household based questionnaire for renters, owner occupier and home builders, building financiers such as banks and SACCOs, building professionals such as architects, valuers etc., institutional questionnaires covering Local Authorities, Lands department, Ministry of Housing, National Environmental Management Authority, Physical Planning department and, Water and Sewerage Service providers and housing developers. Each of these questionnaires was keyed individually.

The data processing of the 2012/13 Kenya National Housing Survey results started by developing data capture application for the various questionnaires using CSPro software. Quality of the developed screens was informed by the results derived from 2012/2013 KNHS pilot survey. Every county data collection team had a trained data entry operator and two data analysts were responsible for ensuring data was submitted daily by the trained data entry operators. They also cross-checked the accuracy of submitted data by doing predetermined frequencies of key questions. The data entry operators were informed of detected errors for them to re-enter or ask the data collection team to verify the information.

Data entry was done concurrently with data collection therefore guaranteeing fast detection and correction of errors/inconsistencies. Data capture screens incorporated inbuilt quality control checks triggered in case of invalid entry. Such checks were necessary to guarantee minimal data errors that would be removed during the validation stage (data cleaning).

In data cleaning, a team comprising subject-matter specialists developed editing specifications which were programmed to cross-check raw data for errors and inconsistencies. The printed log file was evaluated with a view to fixing errors and inconsistencies found. Further on, they also developed data tabulation plans to be used on the final datasets and cross checked tabulated outputs were used in writing the survey basic report.