The index relates to costs ruling on the first day of each month. NATIONAL HOUSE CONSTRUCTION COST INDEX; Up until October 2006 it was known as the National House Building Index Oct 2000 data; The index since October, 2000, includes the first phase of an agreement following a review of rates of pay and grading structures for the Construction Industry and the first phase increase under the PPF. April, May and June 2001; Figures revised in July 2001due to 2% PPF Revised Terms. March 2002; The drop in the March 2002 figure is due to a decrease in the rate of PRSI from 12% to 10¾% with effect from 1 March 2002. The index from April 2002 excludes the one-off lump sum payment equal to 1% of basic pay on 1 April 2002 under the PPF. April, May, June 2003; Figures revised in August'03 due to the backdated increase of 3% from 1April 2003 under the National Partnership Agreement 'Sustaining Progress'. The increases in April and October 2006 index are due to Social Partnership Agreement "Towards 2016". March 2011; The drop in the March 2011 figure is due to a 7.5% decrease in labour costs. Methodology in producing the Index Prior to October 2006: The index relates solely to labour and material costs which should normally not exceed 65% of the total price of a house. It does not include items such as overheads, profit, interest charges, land development etc. The House Building Cost Index monitors labour costs in the construction industry and the cost of building materials. It does not include items such as overheads, profit, interest charges or land development. The labour costs include insurance cover and the building material costs include V.A.T. Coverage: The type of construction covered is a typical 3 bed-roomed, 2 level local authority house and the index is applied on a national basis. Data Collection: The labour costs are based on agreed labour rates, allowances etc. The building material prices are collected at the beginning of each month from the same suppliers for the same representative basket. Calculation: Labour and material costs for the construction of a typical 3 bed-roomed house are weighted together to produce the index. Post October 2006: The name change from the House Building Cost Index to the House Construction Cost Index was introduced in October 2006 when the method of assessing the materials sub-index was changed from pricing a basket of materials (representative of a typical 2 storey 3 bedroomed local authority house) to the CSO Table 3 Wholesale Price Index. The new Index does maintains continuity with the old HBCI. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Oct 2008 data; Decrease due to a fall in the Oct Wholesale Price Index.

Indonesia House Built: Average Price per Unit: West Java data was reported at 78.240 IDR mn in 2018. This records a decrease from the previous number of 188.740 IDR mn for 2017. Indonesia House Built: Average Price per Unit: West Java data is updated yearly, averaging 147.000 IDR mn from Dec 2008 (Median) to 2018, with 11 observations. The data reached an all-time high of 208.030 IDR mn in 2016 and a record low of 52.000 IDR mn in 2008. Indonesia House Built: Average Price per Unit: West Java data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.EC004: Average Price per Unit of House Built.

Indonesia House Built: Average Price per Unit: Lampung data was reported at 136.190 IDR mn in 2018. This records an increase from the previous number of 54.210 IDR mn for 2017. Indonesia House Built: Average Price per Unit: Lampung data is updated yearly, averaging 89.000 IDR mn from Dec 2008 (Median) to 2018, with 11 observations. The data reached an all-time high of 160.920 IDR mn in 2014 and a record low of 54.210 IDR mn in 2017. Indonesia House Built: Average Price per Unit: Lampung data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.EC004: Average Price per Unit of House Built.

The Department of Finance (DOF) maintains records for all property sales in New York City, including sales of family homes in each borough. This list is a summary of all neighborhood sales for Class 1-, 2- and 3-Family homes Citywide in 2008. This list includes all sales of 1-, 2-, and 3-Family Homes' from January 1st, 2008 to December 31, 2008, whose sale price is equal to or more than $150,000. The Building Class Category for Sales is based on the Building Class at the time of the sale.

The Department of Finance (DOF) maintains records for all property sales in New York City, including sales of family homes in each borough. This list is a summary of neighborhood sales for Class 1-, 2- and 3-Family homes in Queens in 2008. This list includes all sales of 1-, 2-, and 3-Family Homes' from January 1st, 2008 to December 31, 2008, whose sale price is equal to or more than $150,000. The Building Class Category for Sales is based on the Building Class at the time of the sale. Update Schedule: Annually

The Department of Finance (DOF) maintains records for all property sales in New York City, including sales of family homes in each borough. This list is a summary of neighborhood sales for Class 1-, 2- and 3-Family homes in Manhattan in 2008.

This list includes all sales of 1-, 2-, and 3-Family Homes' from January 1st, 2008 to December 31, 2008, whose sale price is equal to or more than $150,000. The Building Class Category for Sales is based on the Building Class at the time of the sale. Update Frequency: Annually

Housing Starts in the United States increased to 1501 Thousand units in February from 1350 Thousand units in January of 2025. This dataset provides the latest reported value for - United States Housing Starts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Department of Finance (DOF) maintains records for all property sales in New York City, including sales of family homes in each borough. This list is a summary of neighborhood sales for Class 1-, 2- and 3-Family homes in Staten Island in 2008. This list includes all sales of 1-, 2-, and 3-Family Homes' from January 1st, 2008 to December 31, 2008, whose sale price is equal to or more than $150,000. The Building Class Category for Sales is based on the Building Class at the time of the sale.

Indonesia House Built: Average Price per Unit: Jambi data was reported at 44.320 IDR mn in 2018. This records an increase from the previous number of 29.800 IDR mn for 2017. Indonesia House Built: Average Price per Unit: Jambi data is updated yearly, averaging 67.660 IDR mn from Dec 2008 (Median) to 2018, with 10 observations. The data reached an all-time high of 98.120 IDR mn in 2014 and a record low of 18.000 IDR mn in 2011. Indonesia House Built: Average Price per Unit: Jambi data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.EC004: Average Price per Unit of House Built.

Indonesia House Built: Average Price per Unit: Total data was reported at 1,611.000 IDR mn in 2018. This records a decrease from the previous number of 2,614.000 IDR mn for 2017. Indonesia House Built: Average Price per Unit: Total data is updated yearly, averaging 107.710 IDR mn from Dec 2008 (Median) to 2018, with 11 observations. The data reached an all-time high of 3,345.900 IDR mn in 2014 and a record low of 55.000 IDR mn in 2008. Indonesia House Built: Average Price per Unit: Total data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.EC004: Average Price per Unit of House Built.

Indonesia House Built: Average Price per Unit: South Sumatera data was reported at 142.060 IDR mn in 2018. This records an increase from the previous number of 121.510 IDR mn for 2017. Indonesia House Built: Average Price per Unit: South Sumatera data is updated yearly, averaging 121.510 IDR mn from Dec 2008 (Median) to 2018, with 11 observations. The data reached an all-time high of 268.530 IDR mn in 2014 and a record low of 43.000 IDR mn in 2008. Indonesia House Built: Average Price per Unit: South Sumatera data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.EC004: Average Price per Unit of House Built.

Analysis of ‘DOF: Summary of Neighborhood Sales Citywide for Class 1-, 2- and 3-Family homes - 2008’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/926539aa-3cba-43d9-a4ed-fd4b2cf3506f on 13 February 2022.

--- Dataset description provided by original source is as follows ---

The Department of Finance (DOF) maintains records for all property sales in New York City, including sales of family homes in each borough. This list is a summary of all neighborhood sales for Class 1-, 2- and 3-Family homes Citywide in 2008.

This list includes all sales of 1-, 2-, and 3-Family Homes' from January 1st, 2008 to December 31, 2008, whose sale price is equal to or more than $150,000. The Building Class Category for Sales is based on the Building Class at the time of the sale.

--- Original source retains full ownership of the source dataset ---

The Department of Finance (DOF) maintains records for all property sales in New York City, including sales of family homes in each borough. This list is a summary of neighborhood sales for Class 1-, 2- and 3-Family homes in the Bronx in 2008.

This list includes all sales of 1-, 2-, and 3-Family Homes' from January 1st, 2008 to December 31, 2008, whose sale price is equal to or more than $150,000. The Building Class Category for Sales is based on the Building Class at the time of the sale.

Indonesia House Built: Average Price per Unit: East Kalimantan data was reported at 100.690 IDR mn in 2015. This records an increase from the previous number of 74.510 IDR mn for 2014. Indonesia House Built: Average Price per Unit: East Kalimantan data is updated yearly, averaging 66.000 IDR mn from Dec 2008 (Median) to 2015, with 8 observations. The data reached an all-time high of 100.690 IDR mn in 2015 and a record low of 0.000 IDR mn in 2009. Indonesia House Built: Average Price per Unit: East Kalimantan data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.EC004: Average Price per Unit of House Built.

Input price index (2000=100) new houses total, wage and building material components 2000 - 2008; January 2000 - December 2008 Changed on January 30 2009. Frequency: Discontinued.

DOI Description of the housing situation and satisfaction with the apartment. Housing costs, living environment. Neighbourhood and integration. Topics: 1. Housing: Degree of urbanisation of the place of residence; living in the city centre or outside; residential location; duration of residence at the place of residence; satisfaction with the place of residence (scalometer); further apartments (multilocality); rhythm of dwelling and purpose of use of the other dwellings; year of moving in and duration of residence in the dwelling; residential status. 2. Housing costs: tenants were asked: rent costs; rent included heating and hot water; heating costs and hot water costs; period of payment for heating and hot water; amount of the heating and hot water costs during this period paid amount; amount of the annual amount for heating and hot water; service charges included in the rent; amount of the monthly lump sum for cold (apportionable) service charges; annual amount for service charges; amount of the modernisation levy and the costs for a car parking space; assessment of rental costs; receipt and amount of housing benefit. Owners were asked: type of acquisition of ownership (new building, inheritance); government aid (KfW, housing subsidies from the federal states, municipal subsidies, home ownership allowance). 3. Current dwelling and living environment: living space; number of living spaces; assessment of the size of the apartments; equipment corresponds to the needs; age of the building; type of house; structural condition of the house; satisfaction with the dwelling (scalometer); satisfaction with the neighborhood (scalometer); satisfaction with the immediate residential environment (scalometer); usage structure in the residential area; image of the residential area; relatives and friends in the residential area; neighbourly relationship; population groups and social structure in the residential area. 4. Neighbourhood and integration: the relationship between foreigners and Germans in the residential area; reasons for neighbourhood conflicts between Germans and foreigners; attitude towards spatial separation of foreigners and Germans; German or other citizenship; contacts to foreigners and Germans (segregation); intention to move; motives for relocation; relocation preference (target area); intention to relocate to another federal state or abroad; preferred federal state or preferential state; assessment of the personal economic situation; employment status; assessment of own job security. Demography: sex; age; marital status; household type; cohabitation with a partner; occupational status; employment as part-time or full-time; occupational groups (current or former main activity); employee status, worker status or civil servant status; school leaving certificate; completed vocational training or studies; household size; number of children up to 6 years, from 6 to 13 years, of young people from 14 to 17 years and persons from 18 years of age in the household (household composition); number of income earners in the household; net household income; employment status of others persons in the household or unemployed, pensioners or students in the household; life satisfaction (scalometer). Additionally coded was: city size; federal state, east/west; weighting factors. Beschreibung der Wohnsituation und Zufriedenheit mit der Wohnung. Wohnkosten, Wohnumfeld. Nachbarschaft und Integration. Themen: 1. Wohnen: Urbanisierungsgrad des Wohnortes; wohnen im Ortskern oder außerhalb; Wohnlage; Wohndauer am Wohnort; Zufriedenheit mit dem Wohnort (Skalometer); weitere Wohnungen (Multilokalität); Wohnrhythmus und Nutzungszweck der anderen Wohnungen; Einzugsjahr und Wohndauer in der Wohnung; Wohnstatus. 2. Wohnkosten: Mieter wurden gefragt: Mietkosten; Miete inklusive Heizung und Warmwasser; Heizungskosten und Warmwasserkosten; Zahlungsturnus für Heizung und Warmwasser; Höhe des in diesem Zeitraum gezahlten Betrages; Höhe des Jahresbetrages für Heizung und Warmwasser; Nebenkosten in der Miete enthalten; Höhe der monatlichen Pauschale für kalte (umlagefähige) Nebenkosten; Jahresbetrag für Nebenkosten; Höhe der Modernisierungsumlage sowie der Kosten für einen PKW-Stellplatz; Beurteilung der Mietkosten; Bezug und Höhe von Wohngeld. Eigentümer wurden gefragt: Art des Eigentumserwerbs (Neubau, Erbe); staatliche Förderung (KfW, Wohnbauförderung der Länder, kommunale Förderung, Eigenheimzulage). 3. Derzeitige Wohnung und Wohnumfeld: Wohnfläche; Anzahl der Wohnräume; Beurteilung der Wohnungsgröße; Ausstattung entspricht den Bedürfnissen; Gebäudealter; Haustyp; baulicher Zustand des Hauses; Zufriedenheit mit der Wohnung (Skalometer); Zufriedenheit mit der Nachbarschaft (Skalometer); Zufriedenheit mit der unmittelbaren Wohnumgebung (Skalometer); Nutzungsstruktur im Wohngebiet; Image ( Ruf ) der Wohngegend; Verwandte und Freunde im Wohngebiet; Nachbarschaftsverhältnis; Bevölkerungsgruppen und soziale Struktur im Wohngebiet. 4. Nachbarschaft und Integration: Verhältnis zwischen Ausländern und Deutschen in der Wohngegend; Gründe für Nachbarschaftskonflikte zwischen Deutschen und Ausländern; Einstellung zur räumlichen Trennung von Ausländern und Deutschen; deutsche oder andere Staatsbürgerschaft; Kontakte zu Ausländern und Deutschen (Segregation) ; Umzugsabsicht; Motive für den Wegzug; Umzugspräferenz (Zielgebiet); beabsichtigter Umzug in ein anderes Bundesland bzw. ins Ausland; präferiertes Bundesland bzw. präferierter Staat; Beurteilung der persönlichen wirtschaftlichen Lage; Erwerbsstatus; Einschätzung der eigenen Arbeitsplatzsicherheit. Demographie: Geschlecht; Alter; Familienstand; Haushaltstyp; Zusammenleben mit einem Partner; berufliche Stellung; Erwerbstätigkeit als Teilzeit oder Vollzeit; Berufsgruppen (derzeitige bzw. frühere Haupttätigkeit); Angestelltenstatus, Arbeiterstatus oder Beamtenstatus; Schulabschluss; abgeschlossene Berufsausbildung bzw. Studium; Haushaltsgröße; Anzahl der Kinder bis 6 Jahre, von 6 bis 13 Jahren, der Jugendlichen von 14 bis 17 Jahren und der Personen ab 18 Jahren im Haushalt (Haushaltszusammensetzung); Anzahl der Personen im Haushalt mit eigenem Einkommen; Haushaltsnettoeinkommen; Erwerbsstatus weiterer Personen im Haushalt bzw. Arbeitslose, Rentner oder Studenten im Haushalt; Lebenszufriedenheit (Skalometer). Zusätzlich verkodet wurde: Ortsgröße; Bundesland, Ost/West; Gewichtungsfaktoren. Probability: MultistageProbability.Multistage Wahrscheinlichkeitsauswahl: Mehrstufige ZufallsauswahlProbability.Multistage Face-to-face interview: Computer-assisted (CAPI/CAMI)Interview.FaceToFace.CAPIorCAMI

Building Footprints based off data from 2008 for the buildings and 2010 vintage for UV SAL buildings in Cook County that are outside of the Chicago Open Data (which is various dates as collected)

2008 Cook County Lidar, UVM Spatial Analysis Lab 2010 Chicago Regional Land Cover (2008 Lidar building footprints were extracted using Esri software and UVM Spatial Analysis Lab building footprints were extracted/regularized using Esri software).

(Link to Metadata) The FacilitiesBuildings_DENSITY data set depicts density for defined types of structures in Vermont. The vector source used to generate the rasters was the VT E911 Esite data. The ESITE attribute SITETYPE was used to determine and select the source point features. Raster data sets were created using the following SITETYPE selection criteria - RESIDENTIAL: Primary {DENSITYRES} - Structures identified as year round dwellings. Esite SITETYPE values R1 Single Family, R2 Multi Family, R3 Mobile Home, R4 Other Residential, C2 Commercial with Apartment. Seasonal {DENSITYSES} - Structures identified as R6 Seasonal Home or R5 Camp/Bungalow. COMMERCIAL AND INDUSTRIAL: Commercial Only {DENSITYCOM} - C1 Commercial, C2 Commercial w/apt, C9 Other Commercial, CF Commercial Farm, CL Lodging. Industrial Only {DENSITYIND} - I1 Industrial. CIVIC: Primary Civic {DENSITYPCV} - SITETYPE values P1 - P7. Secondary Civic {DENSITYSCV} - SITETYPE values P0 & P8.

Abstract

The liberalized economic system in Armenia has led to a sharp growth in individual housing construction by individuals for their own use. High rates of individual housing construction may be observed in some geographic (regional) locations. However a lack of accurate administrative registers of licences for construction, the prevalence of some constructions (built without any license), create particular difficulties in producing reliable and comprehensive statistical data collection on individual housing construction.

In general, problems faced in collecting information about house construction may be separated in the following main groups: • incompleteness of indicators on volumes of individual housing construction by marz (region) breakdown, • introduction of the instruments being used in the international practice, taking into consideration peculiarities of the sphere, • lack of precise mechanisms for monitoring the process of individual housing construction, • expanding and improvement of the existing indicators set, • necessity of forming and updating of the individual housing construction register.

In this context, in order to improve the statistical accounting of house construction, it is important to conduct periodical surveys and by so doing to improve the instruments available, through the development and use of state statistical reporting forms, and to obtain some broad indicators of levels of activity in at least some regions of the Country.

Taking into account the above-mentioned, the main purpose of this survey was to improve statistics on individual housing construction. In particular, • ensuring the comparability of the statistical data on house construction with the methodologies and standards used in the international practice, • ensuring the comprehensiveness of the indicators by regional breakdown, • use of the sampling methods and improvements of their methodology in construction.

The survey results provide: - complete and reliable information on individual housing construction in some key regions, particularly studying structure and volumes of the buildings, - and increase in the quality of information, - to complement the database on house construction within the official statistics with new indicators, - a model for a register for newly built houses which can be used to monitor periodically the level housing construction activity.

The derived results enable NSSRA to improve and update its database, to expand its list of published indicators, to improve methodology, and to support more informed policy making by providing state and local selfgovernment bodies with key information.

Geographic coverage

National

Kind of data

Sample survey data [ssd]

Sampling procedure

There were two main approaches - entire and sampling - used for the conduct of the survey.

Lists of the licenses for individual housing construction, which had been given since 2005 by the state government body in the urban development, served as the main information source for the survey.

However there were, in some regions, serious inaccuracies and lack of availability of lists of licensed permits for individual house construction. These weaknesses, together with restrictions of available financial and human resources and the objective of receiving representative data, led to a concentration of survey resources in those regions where the individual housing construction is more prevalent and where reasonably up-to-date lists of licences are available. Yerevan and the following 4 marzes - Aragatsotn, Ararat, Armavir and Kotayk- were selected. The results of the survey therefore only apply to Yerevan and to these 4 marzes.

The licenses given for individual housing construction in Yerevan city were surveyed in their entirety, but in the other marzes - by the random sampling, considering the differences between the numbers of the mentioned licenses (from 100 to 640, meanwhile 100 - in Armavir, 136 - in Aragatsotn, 304 - in Ararat, 640 -in Kotayk), based on which the sample "steps" had been determined.

Overall there were 1330 licences granted, permitting individuals to construct a house for their own use. These were predominantly in Yerevan.

Although the survey was aimed at 1330 houses, it was foreseen to survey also those buildings under construction in the neighbourhood of the surveyed buildings, which were out of the list of the buildings to be surveyed.

Mode of data collection

Face-to-face [f2f]