Graph and download economic data for Sources of Revenue: Other Engineering Projects for Engineering Services, All Establishments, Employer Firms (REVOEPEF54133ALLEST) from 2013 to 2021 about engineering, employer firms, accounting, revenue, establishments, projection, services, and USA.

Graph and download economic data for Residential Engineering Projects (Excludes Apartment Building Projects) for Engineering Services, All Establishments, Employer Firms (ESREPABPAE454133) from 2015 to 2022 about apartments, engineering, employer firms, establishments, projection, buildings, residential, services, and USA.

Graph and download economic data for Sources of Revenue: Power Generation and Distribution Engineering Projects for Engineering Services, All Establishments, Employer Firms (REVPGDEF54133ALLEST) from 2013 to 2022 about distributive, engineering, employer firms, accounting, revenue, establishments, projection, services, and USA.

..Table Name.Construction: Summary Series: General Summary: Value of Business Done Size Class by Subsectors and Industries for U.S. and States: 2012....ReleaseSchedule.Data are scheduled for release in October 2015.....Universe.The universe of this file is all employer establishments (establishments with payroll) in the construction of buildings or engineering projects (e.g., highways and utility systems). Also included are establishments primarily engaged in the preparation of sites for new construction and establishments primarily engaged in subdividing land for sale as building sites. This universe includes all establishments classified in the Construction sector (sector 23) in 2012.....GeographyCoverage.Data are shown at the U.S. and state levels.....IndustryCoverage.Data are shown at the two-, three-, and six-digit North American Industry Classification System (NAICS) levels.....Data ItemsandOtherIdentifyingRecords.This file contains data on:... Number of establishments.Relative standard error for estimate of number of establishments (%). Number of employees.Relative standard error for estimate of number of employees (%). Annual payroll ($1,000).Relative standard error for estimate of annual payroll (%). Construction workers annual hours (1,000).Relative standard error for estimate of construction workers annual hours (%) . Cost of materials, parts, supplies, electricity, and fuels ($1,000).Relative standard error for estimate of cost of materials, parts, supplies, electricity, and fuels (%) .Cost of construction work subcontracted out to others ($1,000).Relative standard error for estimate of cost of construction work subcontracted out to others (%) . Total value of business done ($1,000).Relative standard error for estimate of total value of business done (%). Value of construction work ($1,000).Relative standard error for estimate of value of construction work (%) . Net value of construction work ($1,000).Relative standard error for estimate of net value of construction work (%) . Value added ($1,000).Relative standard error for estimate of value added (%) . . . ...Data Limitations.Industries with less than 3 establishments, less than 6 employees, less than $6 thousand total value of business done, and less than $6 thousand value of construction work are excluded......Sort Order.Data are presented in ascending geography (US X STATE) by NAICS code by sales, receipts, or revenue size of establishments code sequence.....Related Data Files. Data supersede those released in the Geographic Area Series reports.....FTP Download.Download the entire table at https://www2.census.gov/econ2012/EC/sector23/EC1223SG03.zip....ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology. Data in this file represent those available when this file was created; data may not be available for all NAICS industries or geographies. Data in this table may be subject to employment- and/or sales-size minimums that vary by industry..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

For information on economic census geographies, including changes for 2012, see the economic census Help Center....Table Name.Construction: Summary Series: General Summary: Value of Business Done for Kind-of-Business by Subsectors and Industries for U.S., Regions, and States: 2012....ReleaseSchedule.Data are scheduled for release in October 2015.....Universe.The universe of this file is all employer establishments (establishments with payroll) in the construction of buildings or engineering projects (e.g., highways and utility systems). Also included are establishments primarily engaged in the preparation of sites for new construction and establishments primarily engaged in subdividing land for sale as building sites. This universe includes all establishments classified in the Construction sector (sector 23) in 2012.....GeographyCoverage.Data are shown at the U.S., state, and region levels.....IndustryCoverage.Data are shown at the two-, three-, and six-digit North American Industry Classification System (NAICS) levels.....Data ItemsandOtherIdentifyingRecords.This file contains data on:... Total value of business done ($1,000).Relative standard error for estimate of total value of business done (%). . . ...Data Limitations.Industries with less than $6 thousand total value of business done are excluded.....Sort Order.Data are presented in ascending geography (US X STATE X REGION) by NAICS code, by kind of business construction code sequence.....FTP Download.Download the entire table at https://www2.census.gov/econ2012/EC/sector23/EC1223SG08.zip....ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology. Data in this file represent those available when this file was created; data may not be available for all NAICS industries or geographies. Data in this table may be subject to employment- and/or sales-size minimums that vary by industry..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

Data entered from nine Agronomic theses on: 1"Contribution of sustainable management of community forest of Ouèssè: case of Idadjo and Gbede" achieved at 2002 in the Faculty of Agronomic Sciences"; 2 " Trees spatial structure analysis of Dominate Isoberlinia spp. Craib & Stapt Forest in Benin center areas." achieved at 2005 in the Faculty of Agronomic Sciences"; 3Characterisation and management possibilities of the Dogbalin inland valley in the municipality of Za-kpota, achieved at 2008 in the Faculty of Agronomic Sciences"; 4"Contribution of sustainable forest community of the West complex : low valley of the Couffo-lake Ahémé-fairway Aho and inshore lagoon. Achieved in 2000 in the Faculty of Agronomic Sciences of University of Abomey Calavi"; 5 "Diversity, ecology and uses of the species of the genus Momordica L. (Cucurbitaceae) in West Africa achieved at 2006 in the Faculty of Agronomic Sciences"; 6 "Biodiversité, Ecologie, Productivité des champignons supérieurs dans diverses phytocénoses de la forêt classée de Wari-maro au Bénin." achieved in 1999 in the Faculty of Agronomic Sciences of University of Abomey Calavi." 7 "Inventory of the plant species during the survey of vegetation and the diversity of the amphibians and birds of the small pools of the riparian soils and the National Park of the Pendjari". Thesis of Agricultural engineer, FSA / UAC" 8 "Biological diversity and utilization modes of edibles wild species of Penessoulou reserved forest". Ingeneer thesis, FSA/UAC" 9 "Cercle for the Safeguard of the Natural Resources" with the support of the International organization of the Tropical Woods (IOTW) initiated one before project in order to study the feasibility of the restoration and the lasting management of the sacred Forests of the RAMSAR sites 1017 and 1018 of Benin. this survey has been made by consultant Ousmane HUNYET in 2013".

Graph and download economic data for Sources of Revenue: Commercial, Public, and Institutional Engineering Projects for Engineering Services, All Establishments, Employer Firms (DISCONTINUED) (REVCPPEF54133ALLEST) from 2010 to 2015 about engineering, public, employer firms, accounting, revenue, projection, establishments, commercial, services, and USA.

..Table Name.Construction: Summary Series: General Summary: Legal Form of Organization by Subsectors and Industries: 2012....ReleaseSchedule.Data are scheduled for release in October 2015.....Universe.The universe of this file is all employer establishments (establishments with payroll) in the construction of buildings or engineering projects (e.g., highways and utility systems). Also included are establishments primarily engaged in the preparation of sites for new construction and establishments primarily engaged in subdividing land for sale as building sites. This universe includes all establishments classified in the Construction sector (sector 23) in 2012.....GeographyCoverage.Data are shown at the U.S. level.....IndustryCoverage.Data are shown at the two-, three-, and six-digit North American Industry Classification System (NAICS) levels.....Data ItemsandOtherIdentifyingRecords.This file contains data on:... Number of establishments.Relative standard error for estimate of number of establishments (%). Number of employees.Relative standard error for estimate of number of employees (%). Annual payroll ($1,000).Relative standard error for estimate of annual payroll (%). Construction workers annual hours (1,000).Relative standard error for estimate of construction workers annual hours (%) . Cost of construction work subcontracted out to others ($1,000).Relative standard error for estimate of cost of construction work subcontracted out to others (%) .Total value of business done ($1,000).Relative standard error for estimate of total value of business done (%) . Value of construction work ($1,000).Relative standard error for estimate of value of construction work (%) . Net value of construction work ($1,000).Relative standard error for estimate of net value of construction work (%) . Value added ($1,000).Relative standard error for estimate of value added (%) . . . ...Data Limitations.Industries with less than 3 establishments, less than 6 employees, less than $6 thousand total value of business done, and less than $6 thousand value of construction work are excluded......Sort Order.Data are presented in ascending NAICS code by legal form of organization sequence.....Related Data Files. Data supersede those released in the Geographic Area Series reports...FTP Download.Download the entire table at https://www2.census.gov/econ2012/EC/sector23/EC1223SG05.zip....ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .For information on economic census geographies, including changes for 2012, see the economic census Help Center..Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology. Data in this file represent those available when this file was created; data may not be available for all NAICS industries or geographies. Data in this table may be subject to employment- and/or sales-size minimums that vary by industry..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

Hong Kong Composite Labour Wages Index: Public Project: Civil Engineering data was reported at 166.400 Apr2003=100 in Sep 2018. This records a decrease from the previous number of 168.100 Apr2003=100 for Aug 2018. Hong Kong Composite Labour Wages Index: Public Project: Civil Engineering data is updated monthly, averaging 99.100 Apr2003=100 from Apr 2003 (Median) to Sep 2018, with 186 observations. The data reached an all-time high of 169.500 Apr2003=100 in Mar 2018 and a record low of 93.100 Apr2003=100 in Sep 2008. Hong Kong Composite Labour Wages Index: Public Project: Civil Engineering data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.G113: Composite Labour Wages Index: Public Project.

Data Description: Vision Zero is a strategy to eliminate all traffic-related deaths and severe injuries, while increasing safe, healthy, equitable mobility for all. This data set is a log of funded projects through the Vision Zero Initiative from 2019 to present.

For more information on the City's Vision Zero Initiative visit: https://www.cincinnati-oh.gov/visionzero/

Data Creation: Manual collection by the Department of Transportation and Engineering

Data Created By: Department of Transportation and Engineering

Refresh Frequency: This data is updated as projects are planned or completed.

CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/8icv-g4s9

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

Data entered from an Engineer thesis that inventoried birds in National Park of Pendjari, in northen of Benin territory. The data were collected in 2004 and were mobilised in the framework of the project BID-AF2015-0044-SMA. The main point of this study was to collect all informations about them and to complete them with the inventory of mammals, birds and reptiles in order to propose the census sites as future Ramsar’s sites. Data were collected on some sites as : sacred’s ponds (mare sacrée), Diwouni’s pond, Tiabiga’s pond, Fogou’s pond and Bori’s pond, Bondjagou forest and Pendjari’s (Porga and Arly) and Magou’s rivers (Porga and flooded plain).

Project Atlas - São Paulo

Project Atlas - São Paulo is a Data Science and Engineering initiative that aims at developing relevant and curated Geospatial features about the city of São Paulo, Brazil. It's ultimate use is varied, but it is mainly focused on Machine Learning tasks, such as Real State price prediction.

It aggregates several attributes from many public data sources at different levels of interest, which can be used to match geospatially referenced data (lat,long pairs for example).

A breakdown of the data sources currently used and their original references can be found below, but the official documentation of the project contains the full list of data sources.

Data sources

• GeoSampa: geospatial data exploration tool provided by the São Paulo's Department of Urban Development;
• IBGE: raw datasets from the 2010 Census conducted by the Brazilian Institute of Geography and Statistics;
• Infocidade: multiple sources from the city of São Paulo's local government entities;
• São Paulo Open Data Portal: multiple curated data sources from the city of São Paulo;

Relevant files:

1. tb_district.parquet: the dataset with all derived features aggregated at the District level;
2. tb_neighborhood.parquet: the dataset with all derived features aggregated at the Neighborhood level;
3. tb_zipcode.parquet: the dataset with all derived features aggregated at the Zipcode level;
4. tb_area_of_ponderation: the dataset with all derived features aggregated at the Area of Ponderation level;

Inspiration

This project had various inspirations, such as the Boston Housing Dataset. While I was studying relevant features for the real state market, I noticed that the classic Boston Housing dataset included several sociodemographic variables, which gave me the idea to do the same for São Paulo using the Brazilian Census data.

Acknowledgements

Photo by Lucas Marcomini on Unsplash

Percentage of SREP projects from 1998–2018 across STEM fields.

For information on economic census geographies, including changes for 2012, see the economic census Help Center....Table Name.Construction: Summary Series: General Summary: Value of Construction Work for Location of Construction Work by Subsectors and Industries for U.S. and States: 2012....ReleaseSchedule.Data are scheduled for release in October 2015.....Universe.The universe of this file is all employer establishments (establishments with payroll) in the construction of buildings or engineering projects (e.g., highways and utility systems). Also included are establishments primarily engaged in the preparation of sites for new construction and establishments primarily engaged in subdividing land for sale as building sites. This universe includes all establishments classified in the Construction sector (sector 23) in 2012.....GeographyCoverage.Data are shown at the U.S. and state levels.....IndustryCoverage.Data are shown at the two-, three-, and six-digit North American Industry Classification System (NAICS) levels.....Data ItemsandOtherIdentifyingRecords.This file contains data on:... Value of construction work ($1,000).Relative standard error for estimate of value of construction work (%). . . ...Data Limitations.Industries with less than $6 thousand value of construction work are excluded.....Sort Order.Data are presented in ascending geography (US X STATE) by NAICS code, by location of construciton work by state code sequence.....Related Data Files. Data supersede those released in the Geographic Area Series reports...FTP Download.Download the entire table at https://www2.census.gov/econ2012/EC/sector23/EC1223SG04.zip....ContactInformation. U.S. Census Bureau, Economy Wide Statistics Division. Data User Outreach and Education Staff. Washington, DC 20233-6900. Tel: (800) 242-2184. Tel: (301) 763-5154. ewd.outreach@census.gov. . .Data based on the 2012 Economic Census. For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Methodology. Data in this file represent those available when this file was created; data may not be available for all NAICS industries or geographies. Data in this table may be subject to employment- and/or sales-size minimums that vary by industry..Symbols:D - Withheld to avoid disclosing data for individual companies; data are included in higher level totalsN - Not available or not comparableFor a complete list of all economic programs symbols, see the Symbols Glossary.Source: U.S. Census Bureau, 2012 Economic Census.Note: The data in this file are based on the 2012 Economic Census. To maintain confidentiality, the U.S. Census Bureau suppresses data to protect the identity of any business or individual. The census results in this file contain nonsampling error. Data users who create their own estimates using data from this file should cite the U.S. Census Bureau as the source of the original data only. For the full technical documentation, see Methodology link in above headnote.

Abstract copyright UK Data Service and data collection copyright owner.The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online. The Great Britain Historical GIS Project has also produced digitised boundary data, which can be obtained from the UK Data Service Census Support service. Further information is available at census.ukdataservice.ac.uk Main Topics: The Great Britain Historical Database is a large database of British nineteenth and twentieth-century statistics. Where practical the referencing of spatial units has been integrated, data for different dates have been assembled into single tables. The Great Britain Historical Database currently contains :Statistics from the 1861 Census and the Registrar General's reports, 1851-1861 Employment statistics from the census, 1841-1931 Demographic statistics from the census, 1841-1931 Mortality statistics from the Registrar General's reports, 1861-1920 Marriage statistics from the Registrar General's reports, 1841-1870 Trade union statistics for the Amalgamated Society of Engineers (ASE), 1851-1918 Trade union statistics for the Amalgamated Society of Carpenters and Joiners (ASCJ), 1863-1912 Official poor law statistics, 1859-1915 and 1919-1939 Wage statistics, 1845-1906 Hours of work statistics, 1900-1913 Small debt statistics from county courts, 1847-1913 and 1938 There are seven tables in this part of the Great Britain Historical Database : Ase_mr holds data for each branch of the Amalgamated Society of Engineers (ASE) taken from the Monthly Reports of the ASE from 1851 to 1912, and includes data about admissions, membership, unemployment benefit, strike pay, sickness benefit and pensions. Quarterly data from 1851 to 1872 and biannual data from 1873 to 1912. Ase_mr_95_96 holds a fuller version of the biannual data transcribed from the Monthly Reports of the ASE for 1895 and 1896, for which a special compressed format was used. Ase_admit holds annual admissions data for each branch taken from the Annual Reports of the ASE from 1853 to 1909. Ase_mem holds annual data about changes in membership for each branch taken from Annual Reports of the ASE for 1871 and 1872. Ase_fin holds summary annual data about the finances of the whole union taken from Annual Reports of the ASE from 1851 to 1918. Gaz_ase70 uniquely identifies individual ASE branches in existence between 1861 and 1871 and gives their location in 1871. Cj_mr holds biannual data for each branch of the Amalgamated Society of Carpenters and Joiners (ASCJ) taken from the Monthly Reports of the ASCJ from 1863 to 1912 (excluding 1870 reports), and includes data about admissions, membership, unemployment benefit, strike pay, sickness benefit and pensions. Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

This research data aimed to estimate the diffusion of Building Information Modeling (BIM) technology in urban building projects of Lima city and Callao by the end of 2017. The level of diffusion is estimated through sampling principles. Population data (N=1218) can be find in the publication “Urban buildings market in Lima city and Callao 2017: edition 22” (CAPECO, 2017). The survey (docx file) is divided in five sections: general data of the interviewee, BIM perception, BIM acceptance, BIM adoption and general data of the project. The final data (xlsx file) provides the results of the survey that was answered by 323 professionals related to the building industry (Civil engineers, architects and others) and each answer corresponded to a unique project. As it was mentioned, the population was based on a census of new or under construction urban building projects of Lima city and Callao. A project was considered under construction when it was found at the beginning of earthworks or preliminary works until the delivery of the unoccupied project. In addition, remodeling projects that involved expanding their built-up area were also considered, but this expansion had to be at least 500 sm. On the other hand, all single family houses and multi-family buildings that do not have a public construction license were excluded. The data collection was carried out by two research assistants. Each research assistant was assigned a certain number of clusters within the designed sample. The sampling frame used in this research is one of an area type which are geographical surfaces well-defined. These surfaces are clusters that in this case were districts of Lima city and Callao. The data collection was taken from October to December of 2017. The method to reach the sample size (n=323) was through an emailed virtual survey (52 answers) and by visiting a building project site (271 answers). Projects visited were found aleatory with the only requirement to be inside the designed sample. It has been considered that a project has adopted BIM technology if it has used some of these applications: 3D models visualization; 3D modeling; material quantification and budgets made from 3D models; structure, MEP or HVAC model coordination; 4D construction simulation; control of construction progress with BIM; procurement and fabrication of precast components; project management in the cloud; or the generation of 2D drawings from 3D models. The main notable finding is that 21.6% of urban building projects of Lima city and Callao use BIM technology by the end of 2017.

Graph and download economic data for Sources of Revenue: Transportation Infrastructure Engineering Projects for Engineering Services, All Establishments, Employer Firms (REVTIEEF54133ALLEST) from 2013 to 2021 about infrastructure, engineering, employer firms, accounting, revenue, establishments, projection, services, and USA.

..Table Name.Construction: Summary Series: General Summary: Detailed Statistics by Subsectors and Industries for U.S., Regions, and States: 2012....ReleaseSchedule.Data are scheduled for release in October 2015....>Universe. The universe of this file is all employer establishments (establishments with payroll) in the construction of buildings or engineering projects (e.g., highways and utility systems). Also included are establishments primarily engaged in the preparation of sites for new construction and establishments primarily engaged in subdividing land for sale as building sites. This universe includes all establishments classified in the Construction sector (sector 23) in 2012......GeographyCoverage.Data are shown at the U.S., state, and region levels......IndustryCoverage.Data are shown at the two-, three-, and six-digit North American Industry Classification System (NAICS) levels.....Data ItemsandOtherIdentifyingRecords.This file contains data on:... Number of establishments. Relative standard error for estimate of number of establishments (%). Number of employees. Relative standard error for estimate of number of employees (%). Annual payroll ($1,000). Relative standard error for estimate of annual payroll (%). Total Fringe benefits ($1,000). Relative standard error for estimate of total fringe benefits (%). Employers cost for legally required fringe benefits ($1,000). Employers cost for voluntarily provided fringe benefits ($1,000). Construction workers average for year. Relative standard error for estimate of construction workers average for year (%). Construction workers for pay period including March 12. Construction workers for pay period including June 12. Construction workers for pay period including September 12. Construction workers for pay period including December 12. Other employees average for year. Relative standard error for estimate of other employees average for year (%). Other employees for pay period including March 12. Other employees for pay period including June 12. Other employees for pay period including September 12. Other employees for pay period including December 12. Other employees annual wages ($1,000). Relative standard error for estimate of other employees annual wages (%). Construction workers annual hours (1,000). Relative standard error for estimate of construction workers annual hours (%). Construction workers annual wages ($1,000). Relative standard error for estimate of construction workers annual wages (%). First-quarter payroll ($1,000). Relative standard error for estimate of first-quarter payroll (%). Total selected costs ($1,000). Cost of materials, components, and supplies ($1,000). Relative standard error for estimate of cost of materials, components, and supplies (%). Cost of construction work subcontracted out to others ($1,000). Relative standard error for estimate of cost of construction work subcontracted out to others (%). Total cost of selected power, fuels, and lubricants ($1,000). Relative standard error for estimate of total cost of selected power, fuels, and lubricants (%). Cost of gasoline and diesel fuel ($1,000). Cost of natural gas and manufactured gas ($1,000). Cost of on-highway use of gasoline and diesel fuel ($1,000). Cost of off-highway use of gasoline and diesel fuel ($1,000). Cost of all other fuels and lubricants ($1,000). Cost of purchased electricity ($1,000). Relative standard error for estimate of cost of purchased electricity (%). Total value of business done ($1,000). Relative standard error for estimate of total value of business done (%). Value of construction work ($1,000). Relative standard error for estimate of value of construction work (%). Value of construction work on government owned projects ($1,000). Value of construction work on federally owned projects ($1,000). Value of construction work on state and locally owned projects ($1,000). Value of construction work on privately owned projects ($1,000).Value of other business done ($1,000). Relative standard error for estimate of value of other business done (%). Value of construction work subcontracted in from others ($1,000). Net value of construction work ($1,000). Relative standard error for estimate of net value of construction work (%). Value added ($1,000). Relative standard error for estimate of value added (%). Materials and supplies inventories, beginning of year ($1,000). Relative standard error for estimate of materials and supplies inventories, beginning of year (%). Materials and supplies inventories, end of year ($1,000). Relative standard error for estimate of materials and supplies inventories, end of year (%) . Number of establishments with inventories. Relative standard error for estimate of number of establishments with inventories (%). Value of construction work for establishments with inventories ($1,000). Relative standard error for estimate of value of construction work for establishments with inventories (%). Number of establishments ...

Abstract copyright UK Data Service and data collection copyright owner.The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online. The Great Britain Historical GIS Project has also produced digitised boundary data, which can be obtained from the UK Data Service Census Support service. Further information is available at census.ukdataservice.ac.uk Main Topics: The Great Britain Historical Database is a large database of British nineteenth and twentieth-century statistics. Where practical the referencing of spatial units has been integrated, data for different dates have been assembled into single tables. The Great Britain Historical Database currently contains :Statistics from the 1861 Census and the Registrar General's reports, 1851-1861 Employment statistics from the census, 1841-1931 Demographic statistics from the census, 1841-1931 Mortality statistics from the Registrar General's reports, 1861-1920 Marriage statistics from the Registrar General's reports, 1841-1870 Trade union statistics for the Amalgamated Society of Engineers (ASE), 1851-1918 Trade union statistics for the Amalgamated Society of Carpenters and Joiners (ASCJ), 1863-1912 Official poor law statistics, 1859-1915 and 1919-1939 Wage statistics, 1845-1906 Hours of work statistics, 1900-1913 Small debt statistics from county courts, 1847-1913 and 1938 There are six tables in this part of the Great Britain Historical Database : Tu_pc holds monthly local unemployment statistics for engineers (January 1902-December 1914), shipbuilders (January 1902-December 1914), printers (February 1902-December 1914) and carpenters and joiners (May 1901-October 1905). For details of the districts used please see the documentation. Div23_38 holds annual data taken from the official tabulations of the Ministry of Labour's Local Unemployment Index from 1923 to 1938 for eight divisions. Lui holds quarterly data taken from the official tabulations of the Ministry of Labour's Local Unemployment Index from January 1927 to July 1939. Lui_gaz provides locational information for the exchange areas listed in lui. Un_1928 holds information on registered unemployment at labour exchanges for 30th January 1928. Un_1933 holds information on registered unemployment at labour exchanges for 23rd January 1933. Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

Graph and download economic data for Sources of Revenue: Industrial and Manufacturing Engineering Projects for Engineering Services, All Establishments, Employer Firms (REVIMEEF54133ALLEST) from 2013 to 2022 about engineering, employer firms, accounting, revenue, establishments, projection, services, manufacturing, industry, and USA.