100+ datasets found
  1. Survey of Construction

    • datalumos.org
    delimited
    Updated May 6, 2025
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    United States Department of Commerce. Bureau of the Census (2025). Survey of Construction [Dataset]. http://doi.org/10.3886/E228781V1
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    delimitedAvailable download formats
    Dataset updated
    May 6, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Housing and Urban Development
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States of America
    Description

    The purpose of the Survey of Construction (SOC) is to provide national and regional statistics on starts and completions of new single-family and multifamily housing units and statistics on sales of new single-family houses in the United States. The United States Code, Title 13, authorizes this survey and provides for voluntary responses. The Department of Housing and Urban Development partially funds this survey. The SOC also provides statistics on characteristics of new privately-owned residential structures in the United States. Data included are various characteristics of new single-family houses completed, new multifamily housing completed, new single-family houses sold, and new contractor-built houses started.

  2. National Survey of Construction Companies (ENEC). Base year 2013

    • en.www.inegi.org.mx
    csv
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    Instituto Nacional de Estadística y Geografía, National Survey of Construction Companies (ENEC). Base year 2013 [Dataset]. https://en.www.inegi.org.mx/programas/enec/2013/
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    csvAvailable download formats
    Dataset provided by
    National Institute of Statistics and Geographyhttp://www.inegi.org.mx/
    Authors
    Instituto Nacional de Estadística y Geografía
    License

    https://www.inegi.org.mx/inegi/terminos.htmlhttps://www.inegi.org.mx/inegi/terminos.html

    Time period covered
    2013
    Description

    Current economic behavior of the main variables of the construction sector, input for macroeconomic calculations. Base year 2013.

  3. Construction Surveys Survey Status by State

    • datasets.ai
    • catalog.data.gov
    0
    Updated Sep 24, 2024
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    Department of Labor (2024). Construction Surveys Survey Status by State [Dataset]. https://datasets.ai/datasets/construction-surveys-survey-status-by-state-089ba
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    0Available download formats
    Dataset updated
    Sep 24, 2024
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    Authors
    Department of Labor
    Description

    Prevailing wage survey information is listed by state

  4. B

    Brazil Construction Industry Survey: Actual-Usual Activity Level

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Construction Industry Survey: Actual-Usual Activity Level [Dataset]. https://www.ceicdata.com/en/brazil/cnae-20-construction-industry-survey-actualusual-activity-level-by-sector/construction-industry-survey-actualusual-activity-level
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2018 - May 1, 2019
    Area covered
    Brazil
    Variables measured
    Enterprises Survey
    Description

    Brazil Construction Industry Survey: Actual-Usual Activity Level data was reported at 34.200 Point in May 2019. This records a decrease from the previous number of 35.400 Point for Apr 2019. Brazil Construction Industry Survey: Actual-Usual Activity Level data is updated monthly, averaging 40.950 Point from Dec 2009 (Median) to May 2019, with 114 observations. The data reached an all-time high of 55.600 Point in May 2010 and a record low of 25.300 Point in Feb 2016. Brazil Construction Industry Survey: Actual-Usual Activity Level data remains active status in CEIC and is reported by National Confederation of Industry. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SF004: CNAE 2.0: Construction Industry Survey: Actual-Usual Activity Level: by Sector. The survey is conducted throughout the national territory. Indicators for the country are built to the geographical regions and units of partner associations. The research unit is the 'company'. The Company is the union of all local units carrying the same economic activity, in the same unit of the Federation.

  5. National Survey of Construction Companies (ENEC). Series 2018

    • en.www.inegi.org.mx
    csv
    Updated Dec 20, 2024
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    Instituto Nacional de Estadística y Geografía (2024). National Survey of Construction Companies (ENEC). Series 2018 [Dataset]. http://en.www.inegi.org.mx/programas/enec/2018/
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    csvAvailable download formats
    Dataset updated
    Dec 20, 2024
    Dataset provided by
    National Institute of Statistics and Geographyhttp://www.inegi.org.mx/
    Authors
    Instituto Nacional de Estadística y Geografía
    Time period covered
    2018
    Description

    Current economic behavior of the main variables of the construction sector, input for macroeconomic calculations. Base year 2018.

  6. Construction Contractors Survey 2010 - West Bank and Gaza

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    Updated Oct 14, 2021
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    Palestinian Central Bureau of Statistics (2021). Construction Contractors Survey 2010 - West Bank and Gaza [Dataset]. https://catalog.ihsn.org/catalog/9827
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    Dataset updated
    Oct 14, 2021
    Dataset authored and provided by
    Palestinian Central Bureau of Statisticshttp://pcbs.gov.ps/
    Time period covered
    2011
    Area covered
    West Bank, Palestine
    Description

    Abstract

    The objective of the survey was to obtain data on: 1. Number of enterprises and persons engaged in construction contractors survey by activity. 2. Value of output, intermediate consumption and stocks. 3. Value added components. 4. Payments and transfers. 5. Assets and capital formation. 6. Contribution of the surveyed activities to the GDP and other national accounts variables.

    Geographic coverage

    West Bank and Gaza Strip.

    Analysis unit

    Enterprise constitutes the primary sampling unit (PSU)

    Universe

    All enterprises in construction contractors survey (comprehensive).

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    Comprehensive Survey

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    All of the economic surveys series used the same questionnaire, with a few different characteristics for each survey. The design of the 2010 questionnaire takes into account the major economic variables pertaining to the sector examined and the needs to be met to compile the National Accounts for Palestine.

    Cleaning operations

    For insuring quality and consistency of data a set of measures were taken into account for strengthening accuracy of data as follows: - Preparing data entry program before data collection for checking readiness of the program for data entry. - A set of validation rules were applied on the program for checking consistency of data. - Efficiency of the program was checked through pre-testing in entering few questionnaires, including incorrect information for checking its efficiency, in capturing these information. - Well trained data keyers were selected and trained for the main data entry. - Weekly or biweekly data files were received by project management for checking accuracy and consistency, notes of correction are provided for data entry management for correction.

    Response rate

    Response rate: 81.0%

    Sampling error estimates

    Non-Statistical Errors These types of errors could appear on one or all the survey stages that include data collection and data entry

    Response errors: these types of errors are related to, responders, fieldworkers, and data entry personnel's. And to avoid mistakes and reduce the impact has been a series of actions that would enhance the accuracy of the data through a process of data collection from the field and the data processing.

  7. Annual Survey of Construction Industries - 2006 - Sri Lanka

    • nada.statistics.gov.lk
    • catalog.ihsn.org
    • +1more
    Updated Jan 25, 2023
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    Department of Census and Statistics (2023). Annual Survey of Construction Industries - 2006 - Sri Lanka [Dataset]. https://nada.statistics.gov.lk/index.php/catalog/174
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    Dataset updated
    Jan 25, 2023
    Dataset authored and provided by
    Department of Census and Statistics
    Time period covered
    2005
    Area covered
    Sri Lanka
    Description

    Abstract

    The Survey of Construction Industry was conducted in 1993 for the first time in Sri Lanka mainly to furnish data regarding input, output and their trends to the Institute for Construction Training and Development (ICTAD). The Department of Census and Statistics continues to conduct the survey annually to cater to the requirements of the data users along with the rapid development of the construction industry in Sri Lanka. However, due to the unsettled conditions, the survey of construction industries could not be fully conducted in Northern and Eastern Provinces. Therefore the data confines to the Provinces where the survey has been conducted.

    In this survey, all construction activities undertaken by the private contractors who are registered with ICTAD, government and semi-government agencies are covered. Therefore, construction activities undertaken by the international contractors and the informal construction activities are not presented in this survey. Information is collected relating to the following sectors of the construction industry.

    i. Building construction ii. Highway construction iii. Bridge construction iv. Water supply & drainage v. Irrigation & land drainage vi. Dredging & Reclamation vii. Other constructions

    All construction activities, except building construction, mentioned above are categorized under Civil Engineering activities. The survey was aimed to cover 901 sample units in all provinces except some districts in northern and eastern provinces during the reference year 2005. The Department introduced a very simple questionnaire for the survey from the year 2000 considering the difficulties to obtain the information of construction activities.

    The questionnaire was posted to selected contractors and followed up by sending reminding letters in order to collect information such as, value of contract, value of work done, value of raw materials used, salaries and other services. Further employment statistics and value of subcontracts given by the main contractors are also collected. The list of contractors registered with the ICTAD and among those who were engaged in construction activities in the year 2004 have been used as the frame for this survey.

    Geographic coverage

    The Survey of Construction Activities covers all the construction activities carried out during the reference period in the island by the contractors registered with ICTAD (not in all Districts).

    Analysis unit

    Contractors registered with the ICTAD and those who were engaged in construction activities.

    Universe

    The survey covered all contractors registered with ICTAD.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Stratified Systematic Sampling method was used for the survey and the list of contractors registered with the ICTAD was divided into 2 strata according to the grading system which the ICTAD has devised based on the financial terms. Contractors categorized under grade 1 to grade 6 were canvassed 100% and a probability sample was selected from other grades of 7 to 10 as shown below.

     Sample Frame             Strata   Sample fraction   Sample size 
    
    1. List of contractors registered with grade 1-5 100% 241
      ICTAD grade 6-8 40% 572 grade 9-10 30% 88

    Total 901

    Mode of data collection

    Mail Questionnaire [mail]

    Research instrument

    The Items Covered in the Questionnaire were:

    a. Identification information - Name and address of contractor

    b. Details of all contracts undertaken in the year 2005 - Value of contract, Floor area categorized under construction sectors such as : i. Building construction ii. Highway construction iii. Bridge construction iv. Water supply & drainage v. Irrigation & land drainage vi. Dredging & Reclamation vii. Other constructions

    c. Details of all contracts operated in the year 2005 categorized under construction sectors:

    c. Details of all contracts operated in the year 2005 categorized under construction sectors:

    i. Building construction (Housing units, Living quarters, Non-housing units, Repairs and maintenance) ii. Highway construction (Maintenance, Reconstruction, New constructions) iii. Bridge construction (Bridges, Culverts, Causeways) iv. Water supply & drainage (Water supply, Drainage, Pump house) v. Irrigation & land drainage (Anicut, Sluice gate, Dam, Spill, Irrigation canal) vi. Dredging & Reclamation (Filling, Rehabilitation of irrigation canals, Removing Salvenia, Retaining wall) vii. Other constructions

    d. Value of constructions done in the year 2005 (separately for Public and Private sector under the above construction sectors) analyzed into Work-site District, Value of contract, Cost of construction, Value of hardware materials and

    Salaries paid to Skilled, Unskilled, Technical, Professional categories (separately for Public and Private sector under the above construction sectors ).

    e. Details of the sub-contracts given out in the year 2005 - Subcontracts given, Value and the District of operation

  8. i

    Sample Survey of Individual Housing Construction 2008 - Armenia

    • catalog.ihsn.org
    • dev.ihsn.org
    Updated Mar 29, 2019
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    National Statistical Service (2019). Sample Survey of Individual Housing Construction 2008 - Armenia [Dataset]. https://catalog.ihsn.org/catalog/361
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    National Statistical Service
    Time period covered
    2008
    Area covered
    Armenia
    Description

    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]

  9. A

    Architectural Survey Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 17, 2025
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    Market Research Forecast (2025). Architectural Survey Report [Dataset]. https://www.marketresearchforecast.com/reports/architectural-survey-38163
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Mar 17, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global architectural survey market is experiencing robust growth, driven by the increasing demand for construction projects across diverse sectors, including commercial, residential, and infrastructure development. The market's expansion is fueled by several key factors. Firstly, stringent building codes and regulations necessitate comprehensive surveys before any construction commences, ensuring structural integrity and compliance. Secondly, the burgeoning adoption of Building Information Modeling (BIM) and other digital technologies enhances the accuracy and efficiency of architectural surveys, leading to faster project timelines and cost savings. Thirdly, the rising complexity of modern building designs necessitates detailed and precise surveys to avoid costly errors during construction. Finally, the growth of sustainable building practices is further driving demand, as surveys play a critical role in assessing site conditions and optimizing energy efficiency. We estimate the current market size to be approximately $15 billion USD (a reasonable estimate given the scale of the construction industry and associated surveying needs). Assuming a CAGR of 5% (a conservative estimate reflecting potential economic fluctuations), the market is projected to reach approximately $22 billion USD by 2033. Market segmentation reveals that house surveys currently hold the largest market share, reflecting the high volume of residential construction globally. However, the engineering survey segment is poised for significant growth, driven by large-scale infrastructure projects and the increasing demand for complex engineering designs. Geographic analysis indicates that North America and Europe currently dominate the market, attributed to mature construction sectors and robust regulatory frameworks. However, developing economies in Asia-Pacific, particularly China and India, are exhibiting strong growth potential, fueled by rapid urbanization and infrastructure development. Key players in the market, including Gensler, AECOM, and others, are actively investing in technological advancements and strategic acquisitions to consolidate their market position and cater to the growing demand for advanced survey services. Restraints on market growth include economic downturns, fluctuations in construction activity, and potential labor shortages in the surveying profession.

  10. Spain Business Survey: Industry: Construction: Production

    • ceicdata.com
    Updated Dec 15, 2019
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    Spain Business Survey: Industry: Construction: Production [Dataset]. https://www.ceicdata.com/en/spain/business-survey/business-survey-industry-construction-production
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    Dataset updated
    Dec 15, 2019
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Spain
    Variables measured
    Business Confidence Survey
    Description

    Spain Business Survey: Industry: Construction: Production data was reported at -12.260 % in Oct 2018. This records a decrease from the previous number of 18.860 % for Sep 2018. Spain Business Survey: Industry: Construction: Production data is updated monthly, averaging 0.740 % from Feb 1987 (Median) to Oct 2018, with 381 observations. The data reached an all-time high of 64.000 % in May 1989 and a record low of -65.000 % in Feb 1994. Spain Business Survey: Industry: Construction: Production data remains active status in CEIC and is reported by Ministry of Industry, Commerce and Tourism. The data is categorized under Global Database’s Spain – Table ES.S001: Business Survey.

  11. F

    All Employees, Residential Building Construction

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). All Employees, Residential Building Construction [Dataset]. https://fred.stlouisfed.org/series/CES2023610001
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for All Employees, Residential Building Construction (CES2023610001) from Jan 1985 to Jun 2025 about establishment survey, buildings, residential, construction, employment, and USA.

  12. S

    Sweden Investment Survey: ME: Construction: Construction Developers & Civil...

    • ceicdata.com
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    CEICdata.com, Sweden Investment Survey: ME: Construction: Construction Developers & Civil Engineering [Dataset]. https://www.ceicdata.com/en/sweden/investment-survey/investment-survey-me-construction-construction-developers--civil-engineering
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    Sweden
    Variables measured
    Domestic Investment
    Description

    Sweden Investment Survey: ME: Construction: Construction Developers & Civil Engineering data was reported at 543.000 SEK mn in Dec 2017. This records an increase from the previous number of 436.000 SEK mn for Sep 2017. Sweden Investment Survey: ME: Construction: Construction Developers & Civil Engineering data is updated quarterly, averaging 343.000 SEK mn from Mar 2008 (Median) to Dec 2017, with 40 observations. The data reached an all-time high of 578.000 SEK mn in Jun 2008 and a record low of 184.000 SEK mn in Mar 2010. Sweden Investment Survey: ME: Construction: Construction Developers & Civil Engineering data remains active status in CEIC and is reported by Statistics Sweden. The data is categorized under Global Database’s Sweden – Table SE.O017: Investment Survey.

  13. g

    Construction Surveys Survey Status by State | gimi9.com

    • gimi9.com
    Updated Sep 21, 2022
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    (2022). Construction Surveys Survey Status by State | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_construction-surveys-survey-status-by-state-089ba/
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    Dataset updated
    Sep 21, 2022
    Description

    🇺🇸 미국

  14. S

    Sweden Investment Survey: ME: Construction: Specialised Construction...

    • ceicdata.com
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    CEICdata.com, Sweden Investment Survey: ME: Construction: Specialised Construction Activities [Dataset]. https://www.ceicdata.com/en/sweden/investment-survey/investment-survey-me-construction-specialised-construction-activities
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    Sweden
    Variables measured
    Domestic Investment
    Description

    Sweden Investment Survey: ME: Construction: Specialised Construction Activities data was reported at 970.000 SEK mn in Dec 2017. This records a decrease from the previous number of 1,007.000 SEK mn for Sep 2017. Sweden Investment Survey: ME: Construction: Specialised Construction Activities data is updated quarterly, averaging 762.500 SEK mn from Mar 2008 (Median) to Dec 2017, with 40 observations. The data reached an all-time high of 1,224.000 SEK mn in Jun 2017 and a record low of 405.000 SEK mn in Jun 2009. Sweden Investment Survey: ME: Construction: Specialised Construction Activities data remains active status in CEIC and is reported by Statistics Sweden. The data is categorized under Global Database’s Sweden – Table SE.O017: Investment Survey.

  15. g

    Construction Industry Structure Survey

    • gimi9.com
    + more versions
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    Construction Industry Structure Survey [Dataset]. https://gimi9.com/dataset/eu_6cbbd13683f4924908f46d9289917f73ed5bd861
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    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Construction Industry Structure Survey is a structural activity that provides information regarding the activity of companies whose main activity is construction, providing information on relevant economic variables of companies and their main characteristics.

  16. d

    Topographic channel survey data for selected new culvert installation sites...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Topographic channel survey data for selected new culvert installation sites in the East Gulf Coastal Plain of Alabama [Dataset]. https://catalog.data.gov/dataset/topographic-channel-survey-data-for-selected-new-culvert-installation-sites-in-the-east-gu
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Alabama, Gulf Coastal Plain
    Description

    As part of a cooperative study by the Alabama Department of Transportation (ALDOT) and the U.S. Geological Survey, topographic surveys of stream channel cross-sections, upstream and downstream of selected new culvert installations in the East Gulf Coastal Plain of Alabama, were conducted both before and after culvert construction. This dataset contains raw topographic data used to determine channel measurements for statistical analysis in the associated Scientific Investigations Report, Effects of culvert construction on streams in the East Gulf Coastal Plain of Alabama, 2010-19 (Pugh and Gill, 2021). To measure the effects that culvert construction may have on stream channel beds, banks, and slopes, topographic surveys of 22 stream channel cross-sections, 11 upstream and 11 downstream, of the proposed culvert, were conducted at each study site before culvert construction. The cross-sections were evenly distributed along a stream reach length of approximately 20 times the channel width. These same cross-sections were resurveyed approximately 2 years after culvert construction was completed. Pre- and post-construction channel geometry data are presented in separate Comma-Separated Values (CSV) files. In addition, a plan view of before and after construction data points is included in a Portable Document Format (PDF) file.

  17. m

    Results of a survey on expectations of adherence to project programs in...

    • data.mendeley.com
    Updated Dec 20, 2021
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    Svenja Oprach (2021). Results of a survey on expectations of adherence to project programs in construction projects [Dataset]. http://doi.org/10.17632/2275rhvkt7.1
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    Dataset updated
    Dec 20, 2021
    Authors
    Svenja Oprach
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    participants: 83, 66 full answers region: german speaking countries

  18. Albania Business Survey: sa: Construction: Production

    • ceicdata.com
    Updated Mar 15, 2021
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    CEICdata.com (2021). Albania Business Survey: sa: Construction: Production [Dataset]. https://www.ceicdata.com/en/albania/business-survey-construction/business-survey-sa-construction-production
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    Dataset updated
    Mar 15, 2021
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2018 - Mar 1, 2021
    Area covered
    Albania
    Variables measured
    Business Confidence Survey
    Description

    Albania Business Survey: sa: Construction: Production data was reported at -10.882 % Point in Mar 2021. This records an increase from the previous number of -26.074 % Point for Dec 2020. Albania Business Survey: sa: Construction: Production data is updated quarterly, averaging -10.337 % Point from Jun 2002 (Median) to Mar 2021, with 76 observations. The data reached an all-time high of 15.089 % Point in Mar 2008 and a record low of -55.964 % Point in Jun 2020. Albania Business Survey: sa: Construction: Production data remains active status in CEIC and is reported by Bank of Albania. The data is categorized under Global Database’s Albania – Table AL.S005: Business Survey: Construction: Quarterly.

  19. Opinion on changes in U.S. used construction equipment purchases 2015-2022

    • statista.com
    Updated Sep 28, 2023
    + more versions
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    Statista (2023). Opinion on changes in U.S. used construction equipment purchases 2015-2022 [Dataset]. https://www.statista.com/statistics/1224810/changes-used-construction-equipment-purchases-us/
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    Dataset updated
    Sep 28, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This graph represents the results of a survey conducted between 2015 and 2022 among U.S. construction industry contractors. Participants were asked about their perception of changes in used construction equipment purchases in the United States compared to the previous year. In 2022, 16 percent of respondents feel that used construction equipment purchases will increase over the previous year.

  20. c

    Safety compliance survey

    • acquire.cqu.edu.au
    • researchdata.edu.au
    Updated Feb 6, 2024
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    Diya Yan (2024). Safety compliance survey [Dataset]. http://doi.org/10.25946/25149065.v1
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    Dataset updated
    Feb 6, 2024
    Dataset provided by
    CQUniversity
    Authors
    Diya Yan
    License

    https://rightsstatements.org/page/InC/1.0/?language=enhttps://rightsstatements.org/page/InC/1.0/?language=en

    Description

    The aim of the research was to identify the influential factors and their effects on construction workers’ deep and surface safety compliance, respectively. The factors included perceived usefulness, perceived ease of use, safety motivation, management commitment to safety, situational awareness, emotional intelligence, and safety communication.

    This research adopted the survey approach via online questionnaire to collect self-reported responses from construction workers in Australia. As a result, a total of 239 valid responses were collected.

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United States Department of Commerce. Bureau of the Census (2025). Survey of Construction [Dataset]. http://doi.org/10.3886/E228781V1
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Survey of Construction

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delimitedAvailable download formats
Dataset updated
May 6, 2025
Dataset provided by
United States Census Bureauhttp://census.gov/
United States Department of Housing and Urban Development
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
United States of America
Description

The purpose of the Survey of Construction (SOC) is to provide national and regional statistics on starts and completions of new single-family and multifamily housing units and statistics on sales of new single-family houses in the United States. The United States Code, Title 13, authorizes this survey and provides for voluntary responses. The Department of Housing and Urban Development partially funds this survey. The SOC also provides statistics on characteristics of new privately-owned residential structures in the United States. Data included are various characteristics of new single-family houses completed, new multifamily housing completed, new single-family houses sold, and new contractor-built houses started.

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