This dataset contains information about Africa's Infrastructure National Data for 1990-2008.Data from The World Bank.Notes:The Africa Infrastructure Country Diagnostic (AICD) has data collection and analysis on the status of the main network infrastructures. The AICD database provides cross-country data on network infrastructure for nine major sectors: air transport, information and communication technologies, irrigation, ports, power, railways, roads, water and sanitation. The indicators are defined as to cover key areas for policy making: affordability, access, pricing as well as institutional, fiscal and financial aspects. The analysis encompasses public expenditure trends, future investment needs and sector performance reviews. It offers users the opportunity to view AICD results, download documents and materials, search databases and perform customized analysis.

The primary source of information on private participation in infrastructure in low- and middle-income countries. It contains more than 25 years of data on private participation in infrastructure in 137 countries. The data set includes information on more than 5,000 infrastructure projects.

List of currently active infrastructure projects including description and high level schedule and budget range.

Belgium BE: Total Inland Transport Infrastructure Investment: %: Road Infrastructure data was reported at 43.551 % in 2021. This records an increase from the previous number of 32.560 % for 2020. Belgium BE: Total Inland Transport Infrastructure Investment: %: Road Infrastructure data is updated yearly, averaging 16.343 % from Dec 1995 (Median) to 2021, with 27 observations. The data reached an all-time high of 43.551 % in 2021 and a record low of 9.902 % in 2009. Belgium BE: Total Inland Transport Infrastructure Investment: %: Road Infrastructure data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Belgium – Table BE.OECD.ITF: Transport Infrastructure, Investment and Maintenance: OECD Member: Annual. [COVERAGE] Investment expenditure on rail, road and inland waterways infrastructure: capital expenditure on new infrastructure or extension of existing infrastructure, including reconstruction, renewal (major substitution work on the existing infrastructure which does not change its overall performance) and upgrades (major modification work improving the original performance or capacity of the infrastructure). Infrastructure includes land, permanent way constructions, buildings, bridges and tunnels, as well as immovable fixtures, fitting and installations connected with them (signalisation, telecommunications, catenaries, electricity sub-stations, toll collection installations, navigation locks, mooring equipment, etc.) as opposed to rolling stock or road vehicles or inland waterways vessels. [COVERAGE] TOTAL INLAND INFRASTRUCTURE INVESTMENT Inland waterways infrastructure expenses do not include investment in Brussels. TOTAL INLAND INFRASTRUCTURE INVESTMENT Rail infrastructure expenses refer to the investment of Infrabel (Belgian infrastructure manager). Rail infrastructure expenses include the estimated investment through PPP constructions. Rail infrastructure expenses include rail investment in maritime ports. Between 2013 and 2014, the reorganisation of the Belgian railways has influenced the perimeter of Infrabel changing the scope of the managed investment, that creates a break in the series. Since 2015, inland waterways infrastructure expenses have been corrected for Flanders, including investment in water management, that creates a break in the series.

Russia RU: Road Infrastructure Investment: Constant Euro data was reported at 6,839,213,571.000 EUR in 2020. This records an increase from the previous number of 5,844,973,349.000 EUR for 2019. Russia RU: Road Infrastructure Investment: Constant Euro data is updated yearly, averaging 6,201,392,191.000 EUR from Dec 1995 (Median) to 2020, with 26 observations. The data reached an all-time high of 10,127,550,804.000 EUR in 2008 and a record low of 4,370,908,250.000 EUR in 2002. Russia RU: Road Infrastructure Investment: Constant Euro data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Russian Federation – Table RU.OECD.ITF: Transport Infrastructure, Investment and Maintenance: Non OECD Member: Annual. [STAT_CONC_DEF] Capital expenditure on new road infrastructure or extension of existing roads, including reconstruction, renewal (major substitution work on the existing infrastructure which does not change its overall performance) and upgrades (major modification work improving the original performance or capacity of the infrastructure). Infrastructure includes land, permanent way constructions, buildings, bridges and tunnels, as well as immovable fixtures, fittings and installations connected with them (signalisation, telecommunications, toll collection installations, etc.) as opposed to road vehicles. [COVERAGE] Data should include both government and private investment, unless otherwise specified. [COVERAGE] Data include the cost of construction, extension and reconstruction (e.g. expansion and modernisation), as well as the renovation of facilities and acquisition of machinery/equipment in order to increase their initial value. Data include spending from the public and private sectors. Since 2005, data do not include investment of small business entities. Until 2003, data do not include investment in urban motorways. Since 2004, data include investment in public motorways operation services as well as investment in operation services for motorways structures (e.g. bridges, tunnels). Since 2005, data include investment in urban roads.

United States US: Total Inland Transport Infrastructure Investment: %: Road Infrastructure data was reported at 91.097 % in 2021. This records an increase from the previous number of 90.587 % for 2020. United States US: Total Inland Transport Infrastructure Investment: %: Road Infrastructure data is updated yearly, averaging 86.586 % from Dec 1995 (Median) to 2021, with 23 observations. The data reached an all-time high of 91.097 % in 2021 and a record low of 83.429 % in 2015. United States US: Total Inland Transport Infrastructure Investment: %: Road Infrastructure data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Transport Infrastructure, Investment and Maintenance: OECD Member: Annual. [COVERAGE] Investment expenditure on rail, road and inland waterways infrastructure: capital expenditure on new infrastructure or extension of existing infrastructure, including reconstruction, renewal (major substitution work on the existing infrastructure which does not change its overall performance) and upgrades (major modification work improving the original performance or capacity of the infrastructure). Infrastructure includes land, permanent way constructions, buildings, bridges and tunnels, as well as immovable fixtures, fitting and installations connected with them (signalisation, telecommunications, catenaries, electricity sub-stations, toll collection installations, navigation locks, mooring equipment, etc.) as opposed to rolling stock or road vehicles or inland waterways vessels. [COVERAGE] Road infrastructure expenses include investment in motorways, urban roads and installation of traffic service facilities. Road infrastructure expenses do not include investment carried out by the private sector. Road infrastructure expenses include periodic capital maintenance. Since 2004, road infrastructure expenses do not include investment in highways and streets associated with non-road infrastructure (such as road in a hospital complex). TOTAL INLAND INFRASTRUCTURE INVESTMENT Between 2004 and 2007, data do not include inland waterways infrastructure expenses since they are not reported (in 2008 inland waterways infrastructure expenses represent 0.44% of the total inland infrastructure expenses). Since 2004, rail infrastructure expenses include investment in Class 1 Railroads only that accounts for roughly 94% of total rail capital expenditures. Until 2003, inland waterways infrastructure expenses include investment in both inland and maritime water facilities.

The database of the national open access infrastructure consists of metadata and data on authors of final works (diploma, master’s degree and doctorate) and research publications of Slovenian universities and other Slovenian collections (dLib, Videolectures.NET, DKMORS, SciVie repository...). The national portal (you can find it at http://www.openscience.si/) aggregates content from university repositories and other Slovenian collections for the purposes of a common search engine, recommender system and detector of similar content. The data is available in CSV, RDF/XML and n-triples formats. The ontology used by the national open access infrastructure is also added. You can also query the openscience database via the web interface. Each query returns the JSON object with a variable amount of properties (depending on the available data and the type of request).

Estache and Goicoechea present an infrastructure database that was assembled from multiple sources. Its main purposes are: (i) to provide a snapshot of the sector as of the end of 2004; and (ii) to facilitate quantitative analytical research on infrastructure sectors. The related working paper includes definitions, source information and the data available for 37 performance indicators that proxy access, affordability and quality of service (most recent data as of June 2005). Additionally, the database includes a snapshot of 15 reform indicators across infrastructure sectors. This is a first attempt, since the effort made in the World Development Report 1994, at generating a database on infrastructure sectors and it needs to be recognized as such. This database is not a state of the art output—this is being worked on by sector experts on a different time table. The effort has however generated a significant amount of new information. The database already provides enough information to launch a much more quantitative debate on the state of infrastructure. But much more is needed and by circulating this information at this stage, we hope to be able to generate feedback and fill the major knowledge gaps and inconsistencies we have identified.

The infrastructure database currently contains about 90 different types of infrastructure with approximately 2,300 datasets, which are kept by the responsible specialist services on an ongoing basis. In the application, this data can be searched and displayed in the digital map. All basic information is also available and provides further information about each institution (e.g. address and telephone numbers)

The infrastructure database or POI database of the city of Gelsenkirchen offers you comprehensive information about infrastructures in Gelsenkirchen. You currently have the possibility to access over 100 different types of infrastructure as well as over 7000 datasets from the areas of family, education, leisure, infrastructure, culture, administration, social affairs and the economy. In addition to the spatial location, information on contact details and other technical information is stored. The offer is constantly expanded and maintained by the responsible services. The infrastructure database or POI database of the city of Gelsenkirchen offers you comprehensive information about infrastructures in Gelsenkirchen. You currently have the possibility to access over 100 different types of infrastructure as well as over 7000 datasets from the areas of family, education, leisure, infrastructure, culture, administration, social affairs and the economy. In addition to the spatial location, information on contact details and other technical information is stored. The offer is constantly expanded and maintained by the responsible services.

This dataset provides spatial data products with identified and organized locations of potential methane (CH4) emitting facilities and infrastructure spanning the State of California. These data products form a GIS-based mapping database designed to address shortcomings in current CH4 source inventories and is known as Vista California (Vista-CA). Vista-CA consists of detailed spatial maps for facilities and infrastructure in California that are known or expected sources of CH4 emissions and illustrates the spatial distribution of potential CH4 sources. Vista-CA spatial data sets were created utilizing an assortment of publicly available data sources from local, state, and federal agencies for the years 2005 to 2019. The final Vista-CA database contains over 230,000 entries, which are presented as fifteen CH4 emitting infrastructure maps. The database was used to support flight planning and source attribution for the California Methane Survey project.

Georgia GE: Total Road Infrastructure Investment: %: Road infrastructure data was reported at 5.369 % in 2019. This records a decrease from the previous number of 6.989 % for 2018. Georgia GE: Total Road Infrastructure Investment: %: Road infrastructure data is updated yearly, averaging 8.303 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 31.915 % in 2000 and a record low of 3.856 % in 2010. Georgia GE: Total Road Infrastructure Investment: %: Road infrastructure data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Georgia – Table GE.OECD.ITF: Transport Infrastructure, Investment and Maintenance: Non OECD Member: Annual. [COVERAGE] ROAD INFRASTRUCTURE MAINTENANCE Maintenance expenditure on road infrastructure: non-capital expenditure to maintain the condition and capacity of the existing road infrastructure. This includes surface maintenance, patching and running repairs (work relating to roughness of carriageway's wearing course, roadsides, etc.). ROAD INFRASTRUCTURE INVESTMENT Investment expenditure on road infrastructure: capital expenditure on new road infrastructure or extension of existing roads, including reconstruction, renewal (major substitution work on the existing infrastructure which does not change its overall performance) and upgrades (major modification work improving the original performance or capacity of the infrastructure). Infrastructure includes land, permanent way constructions, buildings, bridges and tunnels, as well as immovable fixtures, fittings and installations connected with them (signalisation, telecommunications, toll collection installations, etc.) as opposed to road vehicles. [COVERAGE] ROAD INFRASTRUCTURE INVESTMENT Data include investment in urban roads.

United States US: Road Infrastructure Investment data was reported at 118,000,000,000.000 USD in 2022. This records an increase from the previous number of 108,000,000,000.000 USD for 2021. United States US: Road Infrastructure Investment data is updated yearly, averaging 80,626,500,000.000 USD from Dec 1995 (Median) to 2022, with 28 observations. The data reached an all-time high of 118,000,000,000.000 USD in 2022 and a record low of 38,847,000,000.000 USD in 1995. United States US: Road Infrastructure Investment data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.ITF: Transport Infrastructure, Investment and Maintenance: OECD Member: Annual. [STAT_CONC_DEF] Capital expenditure on new road infrastructure or extension of existing roads, including reconstruction, renewal (major substitution work on the existing infrastructure which does not change its overall performance) and upgrades (major modification work improving the original performance or capacity of the infrastructure). Infrastructure includes land, permanent way constructions, buildings, bridges and tunnels, as well as immovable fixtures, fittings and installations connected with them (signalisation, telecommunications, toll collection installations, etc.) as opposed to road vehicles. [COVERAGE] Data should include both government and private investment, unless otherwise specified. [COVERAGE] Data include investment in motorways, urban roads and installation of traffic service facilities. Data do not include investment carried out by the private sector. Data include period capital maintenance. Since 2004, data do not include investment in highways and streets associate with other non-building structures.

The data set comprises the infrastructure of transport including roads (in KM), number of motor vehicles per 1000 population and railways in countries around the world.

This data set includes 5-minute time series runoff and precipitation data of neighborhood catchments with a variety of stormwater control measures, and definition of individual precipitation-runoff events and associated runoff metrics. Also included are geospatial data that delineates the neighborhood catchments with their land use/land cover and stormwater infrastructure. This dataset is associated with the following publication: Woznicki, S., K. Hondula, and T. Jarnagin. Effectiveness of landscape‐based green infrastructure for stormwater management in suburban catchments. Hydrological Processes. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 32(15): 2346-2361, (2018).

This publication contains a series of data tables that provide estimates on the investment, stock, useful life, economic contribution and depreciation of infrastructure for Canada and each province and territory. The infrastructure economic accounts represents a set of statistical statements that record the economic, social and environmental impacts related to the production and use of infrastructure in Canada and each province and territory. The infrastructure economic accounts are organized using a statistical framework that outlines the concepts, classification systems and methods required to construct the accounts. This statistical framework is consistent with the Canadian system of national accounts, Canadian government finance statistics and Canada’s balance of payments. This consistency permits users to analyze the infrastructure related statistical statements in the context of economy wide measures such as investment, gross domestic product (GDP), national income and wealth.

The Oil and Gas Infrastructure Mapping (OGIM) database is a global, spatially explicit, and granular database of oil and gas infrastructure, developed by Environmental Defense Fund (EDF) (www.edf.org) and MethaneSAT, LLC (www.methanesat.org) – a wholly owned subsidiary of EDF. The OGIM database is developed to support the quantification and source characterization of oil and gas methane emissions. The database development is based on the acquisition, analysis, curation, integration, and quality-assurance, performed at EDF and MethaneSAT, LLC, of publicly available geospatial data sources of oil and gas facilities reported by official government sources, industry, academic, and other non-government entities.

OGIM is a collection of data tables within a GeoPackage, an open-source geospatial database format. Each data table within the GeoPackage includes locations and facility attributes of oil and gas infrastructure types that are important sources of methane emissions, including oil and gas production wells, offshore production platforms, natural gas compressor stations, oil and natural gas processing facilities, liquefied natural gas facilities, crude oil refineries, and pipelines. All location data have been transformed to a common spatial reference system (WGS 1984, EPSG:4326). The GeoPackage also includes a “Data Catalog” table which lists each primary data source utilized during OGIM database development. Each source in the Data Catalog is assigned a Source Reference ID (‘SRC_ID’) and each record in the OGIM database has a 'SRC_REF_ID' attribute that can be used to join the record to its original source(s).

OGIM v2.5.1 includes approximately 6.7 million features, including 4.5 million point locations of oil and gas wells and over 1.2 million kilometers of oil and gas pipelines. This work and the OGIM database, which we anticipate updating on a regular cadence, helps fill a crucial oil and gas geospatial data need, in support of the quantification and attribution of global oil and gas methane emissions at high resolution. Please see the PDF document in the ‘Files’ section of this page for a description of all attribute columns present within the OGIM database. Full details on database development and related analytics can be found in the following Earth System Science Data (ESSD) journal paper. Please cite the paper when using any version of the database:

Omara, M., Gautam, R., O'Brien, M., Himmelberger, A., Franco, A., Meisenhelder, K., Hauser, G., Lyon, D., Chulakadabba, A., Miller, C., Franklin, J., Wofsy, S., and Hamburg, S.: Developing a spatially explicit global oil and gas infrastructure database for characterizing methane emission sources at high resolution, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-15-3761-2023, 2023.

Important note: While the results section of the manuscript is specific to v1 of the OGIM, the methods described therein are the the same methods used to develop and update OGIM_v2.5.1. Additionally, while we describe our data sources in detail in the manuscript above, and include maps for all acquired datasets, this open-access version of the OGIM database does not include the locations of about 300 natural gas compressor stations in Russia. Future updates may include these datasets when appropriate permissions to make them publicly accessible are obtained.

OGIM_v2.5.1.gpkg. Key changes since v1.1:

• Significant updates have been made to the oil and natural gas wells layer. In most US states, v2.5.1 relies upon well location data reported by state agencies rather than the Dept. of Homeland Security’s Homeland Infrastructure Foundation-Level Data (HIFLD). Across all countries, about 50% of well records in v2.5.1 were published by their primary source 1-April-2024 or later.
  
  
• The earlier OGIM_v1.1 version included a layer of publicly sourced, spatially explicit oil and natural gas production volumes for the year 2022. This production layer is not present in v2.5.1 as we continue to develop and improve that data product.

OGIM v2.5.1 is based on public-domain datasets reported on or prior to April 2024. Each record in OGIM indicates a source date (SRC_DATE) when the original source of the data was last updated. Some records may have out-of-date information, for example, if facility status has changed since we last acquired the data. We are continuing to update the OGIM database as new public-domain datasets become available.

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Point of Contact at Environmental Defense Fund and MethaneSAT, LLC: Mark Omara (momara@edf.org) and Ritesh Gautam (rgautam@edf.org).

The infrastructure database or POI database of the city of Gelsenkirchen offers you extensive information about infrastructures in Gelsenkirchen. You currently have access to over 100 different types of infrastructure, as well as over 7,000 data sets from the areas of family, education, leisure, infrastructure, culture, administration, social affairs and economy. In addition to the spatial location, information on contact details and other specialist information is stored. The offer is constantly being expanded and maintained by the responsible services.

The Israeli military offensive in the Gaza Strip since October 7, 2023, has resulted in widespread attacks across the territory, damaging water, sanitation, and hygiene (WASH) infrastructure. Recent public health assessments show an increased prevalence of waterborne diseases — including polio, Hepatitis A, and gastrointestinal conditions — linked to curtailed access to safe water, exposure to contaminated water, and non-functional WASH infrastructure. However, there is a persistent lack of information on the locations and details of damaged WASH infrastructure across the Gaza Strip that can guide short-term water interventions and inform long-term recovery efforts. This study provides an assessment of the status of Gaza Strip WASH infrastructure through analysis of damage using open-source earth observation and geospatial data. Drawing from six sources, we identified 239 WASH sites spanning 11 types of infrastructure across the Gaza Strip and analyzed very-high resolution satellite imagery at each site to assess indicators of damage incurred through late February 2024. We found that 49.8% (n = 119) of sites had been damaged, including at least half of the desalination plants, water pumping stations, and water towers that formed the backbone of Gaza’s WASH infrastructure prior to the escalation of conflict. We observed WASH infrastructure damage in all five governorates, though damage was most pronounced in North Gaza, Gaza, and Khan Yunis Governorates. Due to limited access to multiple sources of satellite imagery, the practical impossibility of creating a comprehensive pre-conflict WASH infrastructure dataset, and the limitation of our scope amid ongoing hostilities, these findings likely represent a conservative underestimate of total WASH infrastructure damage. While this research does not attribute any individual attack to a specific belligerent, the breadth of WASH infrastructure damage as a result of Israel’s invasion in the Gaza Strip points to grave public health consequences, which will have long-lasting repercussions for morbidity and mortality.

London’s Cycling Infrastructure Database (CID) is the world’s largest and most comprehensive database of cycling infrastructure, containing comprehensive details of cycling infrastructure in the Capital. The CID is intended to address barriers to cycling by providing Londoners with clear and accurate information about cycling infrastructure, helping them plan cycle journeys with confidence. The CID is a core part of our Cycling Action Plan , which sets out how TfL, boroughs and others will work together to make London the world’s best big city for cycling. To create the database, TfL have surveyed every street in every London borough to collect information on over 240,000 pieces of infrastructure, covering an area of 1,595 square kilometres. The database also contains 480,000 photographs of cycling infrastructure, allowing users to see exactly what can be found on street. For example, cycle parking users will be able to see what type of parking is available. TfL collected data of 146,000 cycle parking spaces across London, as well as gathering information on 2,000km of cycle routes and 58,000 wayfinding signs. An update to TfL's own Journey Planner means that people using the planner for cycle journeys can now see the nearest and most convenient place to park for every journey. Third party developers will be able to use the data for their own journey planning tools, which will make it simpler for Londoners to plan cycle journeys using their preferred apps. We’re excited to see how developers can use the data to help make cycling in the Capital easier, and to kick-start this we will invite app developers to a hackathon this autumn to see how this data can be maximised to benefit people cycling. As well as making it easier for Londoners to plan cycle journeys, the database will help TfL and boroughs to plan future cycling investment. For example, the database has already been used to develop TfL's Cycle Parking Implementation Plan, which sets out how TfL will work with partners across the capital to deliver 50,000 cycle parking spaces over the next six years where they are needed most, to meet the growing demand for safe places to park cycles. The following types of asset are included in the database: Cycle lanes and tracks – including whether they are segregated or painted lanes Cycle parking, including the type and capacity of parking Signalised crossings for cycles Restricted route - Modal filters and traffic gates which allow cycles to pass but restrict car traffic Traffic calming, including the location of all speed humps in Greater London Advanced stop lines – boxes at junctions for people cycling Signals - early-release signals at junctions Signage - Signed cycle routes and other wayfinding Restricted Points – points where people cycling will have to dismount Paths through parks and other green spaces that can, and cannot, be cycled on