Passenger-kilometres (pkm) decreased by 10% over the ten-year period, reaching 894 billion pkm in 2024. In contrast, freight transport performance, measured in tonne-kilometres (tkm), increased by 5% over the same timeframe.
The share of cars in motorised road passenger transport performance remains relatively stable throughout the period and amounts to around 90% in 2024. By contrast, bus transport performance varies significantly, particularly during the COVID crisis years. After peaking in 2016 at nearly 10% of total pkm, the bus share fell to 4.9% in 2019, before recovering to around 8.5% in the last two years.
Almost all road freight transport, measured in tonnes transported, is carried by trucks and lorries, with trucks playing the dominant role. Although lorries account for only about 8.5% of total freight transport performance, their share has gradually increased over the period.
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The scope of the National Inventory reports emissions is different, these emissions are described in the TREMOD emission report published by the German Environement Agency (UBA). According to the NIR methodlogy GHG emissions from transport in Germany rose by 0.2% from 1990 to 2019 and fell by 12% by 2024. Road GHG emission reach 140,91 Mio.t GHG emisions.
In 2024, ICEV-Diesel represented 63% of emissions, followed by ICEV-Gasoline with 34%. BEV vehicles accounted for 1% of the total emissions. Their share is relatively similar to that in 2014, despite fluctuations within this timeframe.
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", "num_resources": 2, "num_tags": 0, "organization": { "id": "75894900-815c-455f-a171-59555563f1b0", "name": "ifeu", "title": "IFEU", "type": "organization", "description": "ifeu (Institut f\u00fcr Energie und Umweltforschung Heidelberg) conducts research and provides consulting services worldwide on important environmental and sustainability issues for numerous international and national funding agencies and clients. With over 45 years of experience, it is one of the leading ecologically oriented, independent and non-profit research institutes in Germany.", "image_url": "ifeu-logo-retina-dwh73i.png", "created": "2025-11-06T10:54:28.533789", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Data are differentiated by powertrain, time period, size class, mode and vehicle class.
The data are based on an analysis conducted by the ifeu \u2013 Institute for Energy and Environmental Research Heidelberg, using the German Emissions Inventory Model (TREMOD)
", "owner_org": "75894900-815c-455f-a171-59555563f1b0", "private": false, "regions": [ "eur" ], "related_datasets": [ "energy-consumption-road-transport-germany", "new-registrations-road-vehicle-in-germany", "road-vehicle-stock-germany" ], "sectors": [ "road" ], "services": [], "state": "active", "tdc_category": "tdc_harmonized", "temporal_coverage_end": "2024-12-30", "temporal_coverage_start": "2013-12-31", "title": "GHG emissions - Road Transport Germany", "topics": [ "transport-emissions" ], "type": "dataset", "units": [], "url": "https://www.umweltbundesamt.de/publikationen/aktualisierung-tremod-2024", "version": null, "groups": [ { "description": "", "display_name": "Europe", "id": "cb1edbc8-5a0a-49dd-ba95-58128d2c9233", "image_display_url": "", "name": "eur", "title": "Europe" }, { "description": "", "display_name": "Germany", "id": "c4122509-2293-4365-a1ad-4494fac11930", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/DE.png", "name": "deu", "title": "Germany" }, { "description": "", "display_name": "Transport Emissions", "id": "ea8f50c2-2651-46ef-8aeb-64af70577522", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/2024-11-28-205105.955205transport-emissions.png", "name": "transport-emissions", "title": "Transport Emissions" } ], "resources": [ { "cache_last_updated": null, "cache_url": null, "created": "2026-02-10T12:59:40.544249", "datastore_active": true, "description": null, "format": "XLSX", "hash": "5e3c8dc0ec12d130359e4ea2d1ca3cb0", "hide_preview": false, "id": "4260283d-a279-4ccb-8727-d5694e3031f6", "is_new": true, "last_modified": null, "metadata_modified": "2026-02-10T12:59:43.526617", "mimetype": null, "mimetype_inner": null, "name": "202602_GHG_DE_TDC_Formatted.xlsx", "package_id": "1deb374b-ac71-4b80-8da2-a760ed4312c6", "position": 0, "preview": true, "preview_rows": 961, "resource_type": "data", "size": 60890, "state": "active", "total_record_count": 961, "url": "https://ckan.tdc.prod.datopian.com/dataset/1deb374b-ac71-4b80-8da2-a760ed4312c6/resource/4260283d-a279-4ccb-8727-d5694e3031f6/download/202602-ghg-de-tdc-formatted-xpdety.xlsx", "url_type": "upload" }, { "cache_last_updated": null, "cache_url": null, "created": "2026-02-10T12:59:40.544253", "datastore_active": true, "description": null, "format": "XLSX", "hash": "02877fca9f168356316c82032032b7b6", "hide_preview": false, "id": "140cca2c-6a4c-4389-b259-8c425b1de4cf", "is_new": true, "last_modified": null, "metadata_modified": "2026-02-10T12:59:43.862484", "mimetype": null, "mimetype_inner": null, "name": "202602_GHG_DE_TDC_Harmonised.xlsx", "package_id": "1deb374b-ac71-4b80-8da2-a760ed4312c6", "position": 1, "preview": true, "preview_rows": 961, "resource_type": "data", "size": 62220, "state": "active", "total_record_count": 961, "url": "https://ckan.tdc.prod.datopian.com/dataset/1deb374b-ac71-4b80-8da2-a760ed4312c6/resource/140cca2c-6a4c-4389-b259-8c425b1de4cf/download/202602-ghg-de-tdc-harmonised-5ophov.xlsx", "url_type": "upload" } ], "sources": [ { "title": "ifeu/UBA" } ], "tags": [], "relationships_as_subject": [], "relationships_as_object": [] }, { "author": null, "author_email": null, "contributors": [ "229b7703-a301-42f4-804d-4f8779ce628c" ], "creator_user_id": "229b7703-a301-42f4-804d-4f8779ce628c", "data_access": "available on request", "data_provider": "ifeu", "frequency": "annually", "geographies": [ "deu" ], "id": "a88a3b48-15d0-45f3-9c8d-2b5fbc76db04", "indicators": [], "introduction_text": "New vehicle registrations increase over the period 2014 until 2019 with an average annual growth rate of around 3,5% for cars (M1) and 2,5% for trucks (N2 and N3) reaching a peak in 2019. In 2020, registrations are hit by the COVID crisis decreasing by up to 19% for cars and 28% for trucks, followed by a partial recovery in the subsequent years. By 2024, registration levels remain below the pre-2020 peak, and decreasing slightly (-1% for the first time since COVID) indicating an incomplete rebound. the truck market remains extrem volatile, but lika cars new registration groth rate is negativ in 2024.
Over the period, the powertrain composition of new car registrations changes substantially. Gasoline and diesel vehicles dominate registrations until 2019, but their share declines markedly thereafter. From 2020 onward, electrified powertrains\u2014particularly battery electric vehicles (BEVs) \u2014expand rapidly and account for a up to 18% of new registrations in 2023. Despite this growth, conventional internal combustion engine vehicles continue to represent 79% of the new car registrations in 2024. The transition remains accordingly incomplete and coexistence with conventional technologies persists.
Across the entire period, diesel trucks clearly dominate new registrations, consistently accounting for the vast majority of newly registered vehicles, and remaining at tthe level of 94% in 2024. Alternative powertrains\u2014including electric, hybrid, and gas-powered trucks\u2014remain marginal, though their presence becomes more visible in the later years of the period with 5% of BEV trucks in 2024. Overall, the data indicate that while there are early signs of diversification in powertrain technologies within new truck registrations, the pace of change is slow. Structural dependence on diesel persists, suggesting that the transition toward low- and zero-emission trucks is still at an early stage and has yet to translate into a significant shift in market composition.
", "is_archived": false, "isopen": true, "language": "en", "license_id": "CC0-1.0", "license_title": "CC0 1.0", "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", "maintainer": null, "maintainer_email": null, "metadata_created": "2026-01-27T13:11:36.585837", "metadata_modified": "2026-02-10T11:29:41.364531", "modes": [], "name": "new-registrations-road-vehicle-in-germany", "notes": "Road vehicle new registration data in Germany 2014 up to 2024
", "num_resources": 2, "num_tags": 3, "organization": { "id": "75894900-815c-455f-a171-59555563f1b0", "name": "ifeu", "title": "IFEU", "type": "organization", "description": "ifeu (Institut f\u00fcr Energie und Umweltforschung Heidelberg) conducts research and provides consulting services worldwide on important environmental and sustainability issues for numerous international and national funding agencies and clients. With over 45 years of experience, it is one of the leading ecologically oriented, independent and non-profit research institutes in Germany.", "image_url": "ifeu-logo-retina-dwh73i.png", "created": "2025-11-06T10:54:28.533789", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Data are differentiated by powertrain, emission class, time periode, size class and vehicle class.
New registration data for cars, motorcycles, LCV, trucks and buses from 2014 up to 2024.The data are based on an analysis conducted by the ifeu \u2013 Institute for Energy and Environmental Research Heidelberg, using the German Emissions Inventory Model (TREMOD) and information from the German Federal Motor Transport Authority (KBA).
Data for cars and trucks can be visualised in the showroom.
New registrations are reported as of December 31.
In the formatted doc, truck size are differing for N2 and N3 vehicles.
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", "num_resources": 4, "num_tags": 0, "organization": { "id": "4be46927-04c4-4041-bd96-ccacba7e46a3", "name": "ghana-statistical-serviceg", "title": "Ghana Statistical Service", "type": "organization", "description": "", "image_url": "", "created": "2025-11-03T22:19:40.007783", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Ghana Compendium of Environment Statistics 2019.pdf is the original dataset in pdf.
Vehicle_Registrations.xlsx is the dataset in Excel file.
GHA_NewRegs_TDC_formatted.csv is the dataset in SDMX format
GHA_NewRegs_TDC_harmonized.csv is the dataset in SDMX format with harmonised modes.
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Online interactive dashboards
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Monitoring of decarbonisation ambitions and transport transitions
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The total car stock (M1) increased by 13% over the period, reaching almost 50 million vehicles by 2024. Before the pandemic, the annual growth rate of M1 was around 1.5%; after the pandemic, it fell to below 1%, remaining in the range of 0.5 to 0.7% in recent years. Gasoline and diesel vehicles dominate the fleet. Over the period, the share of diesel (ICEV-D) cars remained between 30% and 29%. The lowest share is in 2024, which may indicate a slight shift away of diesel vehicles. Meanwhile, the share of petrol vehicles (ICEV-G) decreases slowly but steadily over time, from 69% to 65%. The share of electric vehicles (BEV and PHEV) is growing gradually, but they still represent a relatively small proportion of the total stock: 3.3% of the current M1 stock are BEV vehicles, and 2% PHEV.
The total truck (N2 and N3) stock grows slowly over the period, increasing by about 5% overall. The annual growth rate of the stock declines in only three years (2014, 2020, and 2024). Diesel trucks overwhelmingly dominate the fleet, accounting for 98% of the total stock in 2024. Full electric vehicles contribute only marginally and, for the first time in 2024, barely exceed a 1% share of the fleet, the rest being CNG and LNG trucks.
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"two-three-wheelers", "cars", "private-cars", "taxis", "truck", "bus", "heavy-rail", "high-speed-rail", "transit-rail", "coastal-shipping", "inland-shipping", "international-maritime", "domestic-aviation", "international-aviation", "pipeline" ], "name": "gizslocat-transport-climate-tracker", "notes": "With the NDC Transport Tracker dataset, you can keep track of all transport related targets, mitigation measures, adaptation measures as well as benefits in Nationally Determined Contributions (NDCs) and Long-term Low Greenhouse Gas Emission Development Strategies (LTS) \u2013 the two major reporting mechanisms of the Paris Agreement on Climate Change.
The dataset was developed by the SLOCAT Partnership on Sustainable, Low Carbon Transport and the Deutsche Gesellschaft f\u00fcr Internationale Zusammenarbeit (GIZ). It is currently part of the Mobilize Net-Zero project that is implemented by the GIZ and financed by the International Climate Initiative (IKI) of the German Federal Ministry for Economic Affairs and Climate Action (BMWK).
", "num_resources": 1, "num_tags": 3, "organization": { "id": "8853c5af-0b1c-4d93-af4a-edbc64056938", "name": "giz", "title": "GIZ", "type": "organization", "description": "The Deutsche Gesellschaft f\u00fcr Internationale Zusammenarbeit (GIZ, English: German Agency for International Cooperation), is the main German development agency. It provides tailor-made services for sustainable development through international development cooperation and international education work.", "image_url": "gizlogo-standard-rgb-300-owuidq.jpg", "created": "2024-12-11T19:02:06.347594", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "The dataset includes the following components:
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Document metadata (NDCs, LTS, etc.)
Transport targets
Mitigation and adaptation actions
Benefits
References and sources
Vehicle registrations by segment. Uganda 2015-2023. Includes cars, motorcycles, and tricycles.
", "num_resources": 3, "num_tags": 1, "organization": { "id": "aa173c2c-9c1a-4c54-8a80-9c0a98783925", "name": "uganda-bureau-of-statistics", "title": "Uganda Bureau of Statistics", "type": "organization", "description": "", "image_url": "", "created": "2025-11-03T23:55:15.145344", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Private-Newly-registered-motor-vehicles-Motorcycles-from-2015-2023.xslx is the original dataset in Excel format
UGA_NewRegs_TDC_formatted.csv is the processed dataset in SDMX format
UGA_NewRegs_TDC_harmonized.csv is the harmonized dataset.
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Immatriculations des ve\u0301hicules par cate\u0301gorie.xlsx is the original dataset in Excel format
TUN_NewRegs_TDC_formatted.csv is the processed dataset in SDMX format
TUN_NewRegs_TDC_harmonized.csv is the harmonized dataset
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Tanzania 2015-2019
", "num_resources": 5, "num_tags": 1, "organization": { "id": "fecfe8f5-e84a-4152-b1d5-94f5ff066a67", "name": "ministry-of-works-and-transport-of-tanzania", "title": "Ministry of Works and Transport of Tanzania", "type": "organization", "description": "", "image_url": "", "created": "2025-11-03T23:23:21.159740", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "sw-1633366677-TRANSPORT AND METEOROLOGY SECTOR STATISTICS - 2019.pdf is the full report from where the data was extracted
VehicleStock- 2019.pdf is the extracted data from the original pdf
VehicleStock- 2019.xlsx is the data in Excel format
TZA_Stock_TDC_formatted.csv is the dataset in SDMX format
TZA_Stock_TDC_harmonized.csv is the harmonized dataset.
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", "num_resources": 4, "num_tags": 0, "organization": { "id": "9d9a75b5-7901-4a5f-b912-006681aa6918", "name": "national-traffic-information-system-south-africa", "title": "National Traffic Information System, South Africa", "type": "organization", "description": "", "image_url": "", "created": "2025-11-06T17:44:14.851746", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "LiveVehPopPerClassProv.pdf is the original dataset consolidated into one pdf
LiveVehPopPerClassProv.xslx is the dataset in Excel format
ZFA_Stock_TDC_formatted.csv is the dataset in SDMX format
ZAF_Stock_TDC_harmonized.csv is the harmonized dataset.
", "owner_org": "9d9a75b5-7901-4a5f-b912-006681aa6918", "private": false, "regions": [ "afr" ], "related_datasets": [], "sectors": [ "road" ], "services": [ "passenger", "freight" ], "state": "active", "tdc_category": "tdc_harmonized", "temporal_coverage_end": "2023-12-31", "temporal_coverage_start": "2022-01-01", "title": "Vehicle Stock (2022-2023) South Africa", "topics": [], "type": "dataset", "units": [], "url": "https://www.natis.gov.za/index.php/statistics/live-vehicle-population/live-vehicle-population-20223", "version": null, "groups": [ { "description": "", "display_name": "Africa", "id": "4134a6a9-62ff-4eb0-b8d2-eb841896043a", "image_display_url": "", "name": "afr", "title": "Africa" }, { "description": "", "display_name": "South Africa", "id": "5c775af8-2620-4864-b541-9a99e6f81dc8", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/ZA.png", "name": "zaf", "title": "South Africa" } ], "resources": [ { "_datastore_active": false, "cache_last_updated": null, "cache_url": null, "created": "2025-12-29T19:39:02.922102", "datastore_active": false, "description": null, "format": "PDF", "hash": "", "hide_preview": false, "id": "89a490bc-0025-4821-891f-3a485b35dcdc", "is_new": false, "last_modified": null, "metadata_modified": "2026-01-29T23:01:49.876590", "mimetype": null, "mimetype_inner": null, "name": "LiveVehPopPerClassProv.pdf", "package_id": "392f63f8-9a3a-4667-ba5c-a6494f5defe3", "position": 0, "resource_type": "data", "size": 998149, "state": "active", "url": "https://ckan.tdc.prod.datopian.com/dataset/392f63f8-9a3a-4667-ba5c-a6494f5defe3/resource/89a490bc-0025-4821-891f-3a485b35dcdc/download/livevehpopperclassprov-63b6cy.pdf", "url_type": "upload" }, { "_datastore_active": true, "cache_last_updated": null, "cache_url": null, "created": "2025-12-29T19:39:03.432573", "datastore_active": true, "description": null, "format": "XLSX", "hash": "5a7d6a29c5be0e16f18d78f4ed7ca338", "hide_preview": false, "id": "18f6454e-26ba-4af6-a70f-358858b28b11", "is_new": false, "last_modified": null, "metadata_modified": "2026-01-29T23:01:50.207475", "mimetype": null, "mimetype_inner": null, "name": "LiveVehPopPerClassProv.xlsx", "package_id": "392f63f8-9a3a-4667-ba5c-a6494f5defe3", "position": 1, "preview": true, "preview_rows": 11, "resource_type": "data", "size": 9504, "state": "active", "total_record_count": 11, "url": "https://ckan.tdc.prod.datopian.com/dataset/392f63f8-9a3a-4667-ba5c-a6494f5defe3/resource/18f6454e-26ba-4af6-a70f-358858b28b11/download/livevehpopperclassprov-5o3tif.xlsx", "url_type": "upload" }, { "_datastore_active": true, "cache_last_updated": null, "cache_url": null, "created": "2025-12-29T19:39:03.978795", "datastore_active": true, "description": null, "format": "CSV", "hash": "a04b1ffb7b9cae38e94cec040fff4004", "hide_preview": false, "id": "c6bb05d5-2413-4485-9b80-f96ddf763e3e", "is_new": false, "last_modified": null, "metadata_modified": "2026-01-29T23:01:50.530460", "mimetype": null, "mimetype_inner": null, "name": "ZFA_Stock_TDC_formatted.csv", "package_id": "392f63f8-9a3a-4667-ba5c-a6494f5defe3", "position": 2, "preview": true, "preview_rows": 22, "resource_type": "data", "size": 1394, "state": "active", "total_record_count": 22, "url": "https://ckan.tdc.prod.datopian.com/dataset/392f63f8-9a3a-4667-ba5c-a6494f5defe3/resource/c6bb05d5-2413-4485-9b80-f96ddf763e3e/download/zfa-stock-tdc-formatted-lvr4jr.csv", "url_type": "upload" }, { "cache_last_updated": null, "cache_url": null, "created": "2026-01-29T23:01:50.836737", "datastore_active": false, "description": null, "format": "CSV", "hash": "", "hide_preview": false, "id": "a837e71f-bd3f-454e-b8e7-718744a9c847", "is_new": true, "last_modified": null, "metadata_modified": "2026-01-29T23:01:50.829488", "mimetype": null, "mimetype_inner": null, "name": "ZAF_Stock_TDC_harmonized.csv", "package_id": "392f63f8-9a3a-4667-ba5c-a6494f5defe3", "position": 3, "resource_type": "data", "size": 1559, "state": "active", "url": "https://ckan.tdc.prod.datopian.com/dataset/392f63f8-9a3a-4667-ba5c-a6494f5defe3/resource/a837e71f-bd3f-454e-b8e7-718744a9c847/download/zaf-stock-tdc-harmonized-xu90d1.csv", "url_type": "upload" } ], "sources": [ { "title": "National Traffic Information System", "url": "https://www.natis.gov.za/index.php/statistics/live-vehicle-population/live-vehicle-population-20223" } ], "tags": [], "relationships_as_subject": [], "relationships_as_object": [] }, { "author": null, "author_email": null, "contributors": [ "9cc4ce74-ccae-43c0-ac82-78c9bd7d21b1" ], "creator_user_id": "9cc4ce74-ccae-43c0-ac82-78c9bd7d21b1", "frequency": "not_planned", "geographies": [ "zaf" ], "id": "3cf019ce-001e-4449-8212-8bda04d63cb0", "indicators": [], "is_archived": false, "isopen": false, "language": "en", "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2025-11-06T17:50:59.604623", "metadata_modified": "2026-01-29T23:01:10.642787", "modes": [ "two-three-wheelers", "cars", "private-cars", "truck", "bus" ], "name": "new-vehicle-registrations-2023-2024-south-africa", "notes": "New vehicle registrations per month and vehicle type (2023 - 2024)
", "num_resources": 4, "num_tags": 0, "organization": { "id": "9d9a75b5-7901-4a5f-b912-006681aa6918", "name": "national-traffic-information-system-south-africa", "title": "National Traffic Information System, South Africa", "type": "organization", "description": "", "image_url": "", "created": "2025-11-06T17:44:14.851746", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "NewVehicleRegistrations.pdf is the original dataset combined into a unique pdf file
NewVehicleRegistrations.xlsx is the dataset in Excel format
ZFA_NewRegs_TDC_formatted.csv is the dataset in SDMX format
ZAF_NewRegs_TDC_harmonized.csv is the harmonized dataset.
", "owner_org": "9d9a75b5-7901-4a5f-b912-006681aa6918", "private": false, "regions": [ "afr" ], "related_datasets": [], "sectors": [ "road" ], "services": [], "state": "active", "tdc_category": "tdc_harmonized", "temporal_coverage_end": "2024-12-31", "temporal_coverage_start": "2023-01-01", "title": "New vehicle registrations (2023-2024) South Africa", "topics": [ "vehicles" ], "type": "dataset", "units": [], "url": "https://www.natis.gov.za/index.php/statistics/new-vehicle-registrations/new-vehicle-registrations-2024", "version": null, "groups": [ { "description": "", "display_name": "Africa", "id": "4134a6a9-62ff-4eb0-b8d2-eb841896043a", "image_display_url": "", "name": "afr", "title": "Africa" }, { "description": "", "display_name": "South Africa", "id": "5c775af8-2620-4864-b541-9a99e6f81dc8", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/ZA.png", "name": "zaf", "title": "South Africa" }, { "description": "", "display_name": "Vehicles & Road Traffic", "id": "06f0a222-39b1-44e3-b2f2-bdddf1223db5", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/2024-11-28-205106.556671vehicles-and-road-traffic.png", "name": "vehicles", "title": "Vehicles & Road Traffic" } ], "resources": [ { "_datastore_active": false, "cache_last_updated": null, "cache_url": null, "created": "2025-12-29T19:37:05.335889", "datastore_active": false, "description": null, "format": "PDF", "hash": "", "hide_preview": false, "id": "10e25917-07bd-4b92-9825-0607431a2c8c", "is_new": false, "last_modified": null, "metadata_modified": "2026-01-29T23:01:09.451818", "mimetype": null, "mimetype_inner": null, "name": "NewVehicleRegistrations.pdf", "package_id": "3cf019ce-001e-4449-8212-8bda04d63cb0", "position": 0, "resource_type": "data", "size": 966471, "state": "active", "url": "https://ckan.tdc.prod.datopian.com/dataset/3cf019ce-001e-4449-8212-8bda04d63cb0/resource/10e25917-07bd-4b92-9825-0607431a2c8c/download/newvehicleregistrations-29txo1.pdf", "url_type": "upload" }, { "_datastore_active": true, "cache_last_updated": null, "cache_url": null, "created": "2025-12-29T19:37:05.850101", "datastore_active": true, "description": null, "format": "XLSX", "hash": "83104fcd4533a78ebbab0445e40340af", "hide_preview": false, "id": "8d06f053-15b0-4e51-8952-d5ab3ef63fa8", "is_new": false, "last_modified": null, "metadata_modified": "2026-01-29T23:01:09.795629", "mimetype": null, "mimetype_inner": null, "name": "NewVehicleRegistrations.xlsx", "package_id": "3cf019ce-001e-4449-8212-8bda04d63cb0", "position": 1, "preview": true, "preview_rows": 11, "resource_type": "data", "size": 11555, "state": "active", "total_record_count": 11, "url": "https://ckan.tdc.prod.datopian.com/dataset/3cf019ce-001e-4449-8212-8bda04d63cb0/resource/8d06f053-15b0-4e51-8952-d5ab3ef63fa8/download/newvehicleregistrations-fzmhd1.xlsx", "url_type": "upload" }, { "_datastore_active": true, "cache_last_updated": null, "cache_url": null, "created": "2025-12-29T19:37:06.548582", "datastore_active": true, "description": null, "format": "CSV", "hash": "9a105e19220f67fd4e320f96e7fca3fb", "hide_preview": false, "id": "38cb9a83-d808-460f-82c2-09ed48db97ad", "is_new": false, "last_modified": null, "metadata_modified": "2026-01-29T23:01:10.236999", "mimetype": null, "mimetype_inner": null, "name": "ZFA_NewRegs_TDC_formatted.csv", "package_id": "3cf019ce-001e-4449-8212-8bda04d63cb0", "position": 2, "preview": true, "preview_rows": 22, "resource_type": "data", "size": 1466, "state": "active", "total_record_count": 22, "url": "https://ckan.tdc.prod.datopian.com/dataset/3cf019ce-001e-4449-8212-8bda04d63cb0/resource/38cb9a83-d808-460f-82c2-09ed48db97ad/download/zfa-newregs-tdc-formatted-xtfsxg.csv", "url_type": "upload" }, { "cache_last_updated": null, "cache_url": null, "created": "2026-01-29T23:01:10.659648", "datastore_active": false, "description": null, "format": "CSV", "hash": "", "hide_preview": false, "id": "25c073c5-aeef-453e-ad54-fa808af62713", "is_new": true, "last_modified": null, "metadata_modified": "2026-01-29T23:01:10.650055", "mimetype": null, "mimetype_inner": null, "name": "ZAF_NewRegs_TDC_harmonized.csv", "package_id": "3cf019ce-001e-4449-8212-8bda04d63cb0", "position": 3, "resource_type": "data", "size": 1795, "state": "active", "url": "https://ckan.tdc.prod.datopian.com/dataset/3cf019ce-001e-4449-8212-8bda04d63cb0/resource/25c073c5-aeef-453e-ad54-fa808af62713/download/zaf-newregs-tdc-harmonized-awg0tt.csv", "url_type": "upload" } ], "sources": [ { "title": "National Traffic Information System", "url": "https://www.natis.gov.za/index.php/statistics/new-vehicle-registrations/new-vehicle-registrations-2024" } ], "tags": [], "relationships_as_subject": [], "relationships_as_object": [] }, { "author": null, "author_email": null, "contributors": [ "9cc4ce74-ccae-43c0-ac82-78c9bd7d21b1" ], "creator_user_id": "9cc4ce74-ccae-43c0-ac82-78c9bd7d21b1", "frequency": "not_planned", "geographies": [ "zaf" ], "id": "779608e7-03fa-4c01-9ced-094763a4d6fe", "indicators": [], "is_archived": false, "isopen": false, "language": "en", "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2025-11-06T17:55:47.224505", "metadata_modified": "2026-01-29T22:59:34.055618", "modes": [ "two-three-wheelers", "cars", "private-cars", "truck", "bus" ], "name": "registration-of-used-vehicles-2024-2025-south-africa", "notes": "Registration of used vehicles (2024 - 2025) in South Africa. Only includes the months of January to August
", "num_resources": 4, "num_tags": 0, "organization": { "id": "9d9a75b5-7901-4a5f-b912-006681aa6918", "name": "national-traffic-information-system-south-africa", "title": "National Traffic Information System, South Africa", "type": "organization", "description": "", "image_url": "", "created": "2025-11-06T17:44:14.851746", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "UsedVehicleRegistration.pdf is the original dataset consolidated into one pdf (include only January to August of 2024 and 2025).
UsedVehicleRegistrationJan-Aug.xslx is the dataset in Excel format
ZFA_UsedRegs_TDC_formatted.csv is the dataset in SDMX format
ZAF_UsedRegs_TDC_harmonized.csv is the dataset in harmonized format.
", "owner_org": "9d9a75b5-7901-4a5f-b912-006681aa6918", "private": false, "regions": [ "afr" ], "related_datasets": [], "sectors": [ "road" ], "services": [ "passenger" ], "state": "active", "tdc_category": "tdc_harmonized", "temporal_coverage_end": "2025-08-31", "temporal_coverage_start": "2025-01-01", "title": "Registration of used vehicles (2024 - 2025) South Africa", "topics": [], "type": "dataset", "units": [], "url": "https://www.natis.gov.za/index.php/statistics/used-vehicle-registrations/used-vehicle-registrations-2025", "version": null, "groups": [ { "description": "", "display_name": "Africa", "id": "4134a6a9-62ff-4eb0-b8d2-eb841896043a", "image_display_url": "", "name": "afr", "title": "Africa" }, { "description": "", "display_name": "South Africa", "id": "5c775af8-2620-4864-b541-9a99e6f81dc8", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/ZA.png", "name": "zaf", "title": "South Africa" } ], "resources": [ { "_datastore_active": false, "cache_last_updated": null, "cache_url": null, "created": "2025-12-29T19:41:17.425088", "datastore_active": false, "description": null, "format": "PDF", "hash": "", "hide_preview": false, "id": "805126b4-52f2-44b9-99ab-d90330447aef", "is_new": false, "last_modified": null, "metadata_modified": "2026-01-29T22:59:33.107864", "mimetype": null, "mimetype_inner": null, "name": "UsedVehicleRegistration.pdf", "package_id": "779608e7-03fa-4c01-9ced-094763a4d6fe", "position": 0, "resource_type": "data", "size": 653402, "state": "active", "url": "https://ckan.tdc.prod.datopian.com/dataset/779608e7-03fa-4c01-9ced-094763a4d6fe/resource/805126b4-52f2-44b9-99ab-d90330447aef/download/usedvehicleregistration-upgpvb.pdf", "url_type": "upload" }, { "_datastore_active": true, "cache_last_updated": null, "cache_url": null, "created": "2025-12-29T19:41:17.807238", "datastore_active": true, "description": null, "format": "XLSX", "hash": "a942d6e7258ba7f06e3963ff57852884", "hide_preview": false, "id": "67186e75-7b00-47d1-bd2b-2341a3a43071", "is_new": false, "last_modified": null, "metadata_modified": "2026-01-29T22:59:33.412761", "mimetype": null, "mimetype_inner": null, "name": "UsedVehicleRegistrationJan-Aug.xlsx", "package_id": "779608e7-03fa-4c01-9ced-094763a4d6fe", "position": 1, "preview": true, "preview_rows": 11, "resource_type": "data", "size": 11081, "state": "active", "total_record_count": 11, "url": "https://ckan.tdc.prod.datopian.com/dataset/779608e7-03fa-4c01-9ced-094763a4d6fe/resource/67186e75-7b00-47d1-bd2b-2341a3a43071/download/usedvehicleregistrationjan-aug-erm430.xlsx", "url_type": "upload" }, { "_datastore_active": true, "cache_last_updated": null, "cache_url": null, "created": "2025-12-29T19:41:18.357623", "datastore_active": true, "description": null, "format": "CSV", "hash": "13101850b09ddd35f77f88e75dd45a23", "hide_preview": false, "id": "65038169-2f0f-4ddb-845c-1d802892e1cf", "is_new": false, "last_modified": null, "metadata_modified": "2026-01-29T22:59:33.763861", "mimetype": null, "mimetype_inner": null, "name": "ZFA_UsedRegs_TDC_formatted.csv", "package_id": "779608e7-03fa-4c01-9ced-094763a4d6fe", "position": 2, "preview": true, "preview_rows": 22, "resource_type": "data", "size": 1488, "state": "active", "total_record_count": 22, "url": "https://ckan.tdc.prod.datopian.com/dataset/779608e7-03fa-4c01-9ced-094763a4d6fe/resource/65038169-2f0f-4ddb-845c-1d802892e1cf/download/zfa-usedregs-tdc-formatted-gkyvi6.csv", "url_type": "upload" }, { "cache_last_updated": null, "cache_url": null, "created": "2026-01-29T22:59:34.070334", "datastore_active": false, "description": null, "format": "CSV", "hash": "", "hide_preview": false, "id": "f940cb99-7ae4-4579-9859-85c738c29245", "is_new": true, "last_modified": null, "metadata_modified": "2026-01-29T22:59:34.063240", "mimetype": null, "mimetype_inner": null, "name": "ZAF_UsedRegs_TDC_harmonized.csv", "package_id": "779608e7-03fa-4c01-9ced-094763a4d6fe", "position": 3, "resource_type": "data", "size": 1815, "state": "active", "url": "https://ckan.tdc.prod.datopian.com/dataset/779608e7-03fa-4c01-9ced-094763a4d6fe/resource/f940cb99-7ae4-4579-9859-85c738c29245/download/zaf-usedregs-tdc-harmonized-2jft1a.csv", "url_type": "upload" } ], "sources": [ { "title": "National Traffic Information System", "url": "https://www.natis.gov.za/index.php/statistics/used-vehicle-registrations/used-vehicle-registrations-2025" } ], "tags": [], "relationships_as_subject": [], "relationships_as_object": [] }, { "author": null, "author_email": null, "contributors": [ "9cc4ce74-ccae-43c0-ac82-78c9bd7d21b1" ], "creator_user_id": "9cc4ce74-ccae-43c0-ac82-78c9bd7d21b1", "geographies": [ "sen" ], "id": "103131cc-fa4f-4c40-999e-e6894a0910dd", "indicators": [], "is_archived": false, "isopen": false, "language": "fr", "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2025-12-19T16:26:22.666877", "metadata_modified": "2026-01-29T22:48:17.730351", "modes": [ "two-three-wheelers", "cars", "private-cars", "taxis", "truck", "bus" ], "name": "evolution-du-parc-automobile-senegal-2009-2018", "notes": "Vehicle stock of Senegal 2009-2018 (Total vehicles, not specified by mode)
Vehicle stock of Senegal by mode 2015
", "num_resources": 7, "num_tags": 0, "organization": { "id": "e9ced662-d946-40f4-ab7e-2aa1ebe3ebf3", "name": "agence-nationale-de-la-statistique-et-de-la-demographie-senegal", "title": "Agence Nationale de la Statistique et de la Demographie, Senegal", "type": "organization", "description": "", "image_url": "", "created": "2025-12-19T16:06:40.591898", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "13-SES-2017-2018_Transport.pdf is the original dataset in pdf
Evolution du parc automobile-Senegal.xlsx is the original dataset (total stock 2009-2018) in Excel format.
RAP_REPARTITION DES VEHICULES SELON LA REGION ET LA TYPE ENGIN.xlsx is the detail of vehicle stock by mode in 2015 in Excel format
SEN_Stock_TDC_formatted.csv is the total stock 2009-2018 in SDMX format.
SEN_Stock_TDC_harmonized.csv is the total stock 2009-2018 in harmonized format.
SEN_Stock2018_TDC_formatted.csv vehicle stock by mode in 2015 in SDMX format
SEN_Stock2018_TDC__harmonized.csv vehicle stock by mode in 2015 in harmonized format
", "owner_org": "e9ced662-d946-40f4-ab7e-2aa1ebe3ebf3", "private": false, "regions": [ "afr" ], "related_datasets": [], "sectors": [ "road" ], "services": [ "passenger" ], "state": "active", "tdc_category": "tdc_harmonized", "temporal_coverage_end": "2018-12-31", "temporal_coverage_start": "2008-01-01", "title": "Evolution du parc automobile - Senegal 2009-2018", "topics": [ "vehicles" ], "type": "dataset", "units": [], "version": null, "groups": [ { "description": "", "display_name": "Africa", "id": "4134a6a9-62ff-4eb0-b8d2-eb841896043a", "image_display_url": "", "name": "afr", "title": "Africa" }, { "description": "", "display_name": "Senegal", "id": "c95f6131-a42c-4ca4-83c9-78592aea07cf", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/SN.png", "name": "sen", "title": "Senegal" }, { "description": "", "display_name": "Vehicles & Road Traffic", "id": "06f0a222-39b1-44e3-b2f2-bdddf1223db5", "image_display_url": 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"maintainer_email": null, "metadata_created": "2025-11-03T23:17:47.764509", "metadata_modified": "2026-01-29T22:37:52.195820", "modes": [ "two-three-wheelers", "cars", "private-cars", "taxis", "truck", "bus" ], "name": "motor-vehicle-registration-by-vehicle-type", "notes": "Vehicle registrations by segment. Rwanda 2016-2020
", "num_resources": 4, "num_tags": 1, "organization": { "id": "1357ad4f-79e8-4c29-8f1d-2b3484306d09", "name": "rwanda-revenue-authority", "title": "Rwanda Revenue Authority", "type": "organization", "description": "", "image_url": "", "created": "2025-11-03T23:13:24.157533", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "rra_tax_statistics_4_version_2019-20_official.pdf is the original source in PDF.
VehicleRegistrations-Rwanda.xlsx is the original dataset in Excel format.
RWA_New_regs_TDC_formatted.csv in the dataset in SDMX format
RWA_NewRegs_TDC_harmonized.csv is the harmonized dataset.
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"metadata_created": "2025-12-19T15:16:00.718804", "metadata_modified": "2026-01-29T22:32:25.212444", "modes": [ "cars" ], "name": "passenger-cars-registrations-and-stock-nigeria-2005-2019", "notes": "Passenger car registrations. Nigeria 2005-2019
Passenger car stock. Niger 2017-2021
Data from OICA collected from https://www.nationmaster.com/nmx/timeseries/nigeria-global-passenger-cars-in-use
", "num_resources": 6, "num_tags": 0, "organization": { "id": "9d30e799-9203-4489-96c3-31a58491e5ca", "name": "oica", "title": "OICA", "type": "organization", "description": "The International Organization of Motor Vehicle Manufacturers was founded in Paris in 1919. It is known as the \u201cOrganisation Internationale des Constructeurs d\u2019Automobiles\u201d (OICA).", "image_url": "logo-oica-nz0tut.jpg", "created": "2024-11-15T07:29:22.772167", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Passenger Cars in Use in Nigeria.xlsx is the raw dataset in Excel format for stock.
NGA_Stock_TDC_formatted.csv is the dataset in SDMX format for stock.
NGA_Stock_TDC_harmonized.csv is the harmonized dataset for stock.
Passenger Cars Registrations in Nigeria.xlsx is the raw dataset in Excel format for vehicle registrations.
NGA_New_regs_TDC_formatted.csv is the dataset in SDMX format for vehicle registrations.
NGA_NewRegs_TDC_harmonized.csv is the harmonized dataset for vehicle registrations.
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HND_Stock_TDC_formatted.csv is the dataset in SDMX format
HND_Stock_TDC_harmonized.csv is the dataset in SDMX format with harmonized mode
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", "num_resources": 3, "num_tags": 0, "organization": { "id": "3d340fb6-30ad-4d25-b58a-75b8dcf29c10", "name": "capmas", "title": "CAPMAS", "type": "organization", "description": "", "image_url": "", "created": "2025-12-04T22:35:09.196158", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Licensed Vehicles _ 2024.xlsx is the Raw dataset in Excel format.
EGY_Stock_TDC_formatted.csv is the dataset in SDMX format
EGY_Stock_TDC_harmonized.csv is the dataset in SDMX format with harmonized mode.
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", "num_resources": 3, "num_tags": 0, "organization": { "id": "8944cdba-86e9-4e8f-9810-bc31f090f92b", "name": "aeade", "title": "AEADE", "type": "organization", "description": "", "image_url": "", "created": "2025-12-04T21:57:16.022996", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "ANUARIO-AEADE_2022_comp.pdf is the raw data
ECU_New_Regs_TDC_formatted.csv is the processed data in SDMX format
ECU_New_Regs_TDC_harmonized.csv is the processed data in SDMX format with harmonized modes
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Vehicle new registrations 2023, 2024
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DOM_Stock_TDC_formatted.csv is the dataset of Stock in SDMX format.
DOM_Stock_TDC_harmonized.csv is the harmonized stock dataset.
DOM_new_regs_TDC_formatted.csv is the dataset of new registrations in SDMX format.
DOM_NewRegs_TDC_harmonized.csv is the harmonized dataset. of new registrations.
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DJI_Stock_TDC_formatted.csv is the dataset in SDMX format
DJI_Stock_TDC_harmonized.csv is the harmonized dataset
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TAB34.xlsx is the data in Excel format
CIV_stock_TDC_formatted.csv is the dataset in SDMX format
CIV_stock_TDC_harmonized.csv is the harmonized dataset
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CAF_imports_TDC_formatted.csv is the dataset in SDMX format
CAF_Imports_TDC_harmonized.csv is the harmonized dataset
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BFA_stock_TDC_formatted.csv is the vehicle stock in SDMX Format
BFA_newregs_TDC_formatted.csv is the vehicle registrations in SDMX Format
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Stock2024_Arg.xlsx is the original data in Excel format
Argentina_stock_TDC_formatted.csv is the data in SDMX format
ARG_Stock_TDC_harmonized.csv is the harmonized dataset
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Algeria_stock_TDC_formatted.csv is the data in the SDMX format.
DZA_Stock_TDC_harmonized.csv is the harmonized dataset
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Algeria_new_regs_TDC_formatted.csv is the SDMX formatted data
DZA_NewRegs_TDC_harmonized.csv is the harmonised data
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Passenger Vehicles: includes (i) Passenger Cars \u2013 Hatchbacks, sedans, MPVs, coupes, etc. (ii) Utility Vehicles (UVs) \u2013 SUVs, crossovers, MUVs. (iii) Vans \u2013 Vehicles with a van-type body used mainly for passenger transport.
Commercial Vehicles: includes Goods Carriers, divided into (i) Light Commercial Vehicles (LCV) \u2013 Gross Vehicle Weight (GVW) up to 7.5 tonnes, and (ii) Medium & Heavy Commercial Vehicles (M&HCV) \u2013 GVW above 7.5 tonnes (includes trucks, tippers, etc.); and Passenger Carriers, which includes Buses and minibuses in LCV and M&HCV ranges
Three Wheelers: designed for carrying either passengers or cargo. Two major sub-categories: (i) Passenger Three-Wheelers (Auto-rickshaws), and (ii) Goods Three-Wheelers (small cargo carriers)
Two Wheelers: SIAM classifies them into: (i) Scooters, (ii) Motorcycles / Motorbikes, (iii) Mopeds, (iv) Electric Two Wheelers (E2W)
Quadricycles: A relatively new category in India. A light four-wheeled vehicle, smaller and lower-powered than a regular car. Key features are: Maximum kerb weight ~475 kg (varies slightly by rule); Used primarily for last-mile urban mobility; Lower speed and power compared to passenger cars,
Vahan provides vehicle registration data at a daily resolution for each State. Vehicle registrations are reported by fuel/powertrain type, maker, emissions norm, vehicle category, and vehicle class.
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Fuel/powertrain type categories are: Diesel, Petrol, Electric (Bov), Petrol/Hybrid, Petrol/Ethanol, Strong Hybrid EV, Petrol/Cng, Cng Only, Pure EV, Petrol/Lpg, Diesel/Hybrid, Lpg Only, Ethanol, Lng, Methanol, Dual Diesel/Bio Cng, Dual Diesel/Cng, Solar, Dual Diesel/Lng, Fuel Cell Hydrogen, Plug-In Hybrid EV, and Not Applicable
Vehicle categories are: Heavy Goods Vehicle, Light Goods Vehicle, Light Motor Vehicle, Light Passenger Vehicle, Other Than Mentioned Above, Two Wheeler(Nt), Medium Goods Vehicle, Three Wheeler(T), Heavy Passenger Vehicle, Medium Motor Vehicle, Medium Passenger Vehicle, Three Wheeler(Nt), Heavy Motor Vehicle, Two Wheeler(T), Two Wheeler (Invalid Carriage), Four Wheeler (Invalid Carriage)
Emission norm categories are: Not Available, Not Applicable, Bharat Stage I, Bharat Stage II, Bharat Stage III, Bharat Stage III (CEV), Bharat (Trem) Stage III, Bharat (Trem) Stage III A, Bharat (Trem) Stage III B, Bharat Stage III/IV, Bharat Stage IV, Bharat Stage IV (CEV), Bharat (Trem) Stage IV, Bharat Stage IV/VI, Bharat Stage V (CEV), Bharat (Trem) Stage V, Bharat Stage VI, Euro 1, Euro 2, Euro 3, Euro 4, Euro 6, Euro 6A, Euro 6AD, Euro 6B, Euro 6C, Euro 6D
Vehicle class categories can be grouped into four general categories, and classify vehicles into 74 unique bins:
Two-Wheelers & Three-Wheelers:\nMoped, Motorised Cycle (Cc > 25Cc), Motorised Cycle (Cc > 25cc), M-Cycle/Scooter, M-Cycle/Scooter-With Side Car, Motor Cycle/Scooter-Sidecar(T), Motor Cycle/Scooter-With Trailer, Motor Cycle/Scooter-Used For Hire, Three Wheeler (Passenger), Three Wheeler (Goods), Three Wheeler (Personal), E-Rickshaw(P), E-Rickshaw With Cart (G), Quadricycle (Private), Quadricycle (Commercial)\n\nPassenger Vehicles:\nMotor Car, Motor Cab, Maxi Cab, Luxury Cab, Omni Bus, Omni Bus (Private Use), Bus, Educational Institution Bus, Motor Caravan, Private Service Vehicle, Private Service Vehicle (Individual Use), Ambulance, Animal Ambulance, Mobile Clinic, Mobile Canteen, Library Van, X-Ray Van, Hearses, Camper Van / Trailer, Camper Van / Trailer (Private Use)\n\nGoods & Commercial Vehicles:\nGoods Carrier, Cash Van, Breakdown Van, Recovery Vehicle, Fire Tenders, Fire Fighting Vehicle, Armoured/Specialised Vehicle, Tractor (Commercial), Tractor-Trolley(Commercial), Power Tiller, Power Tiller (Commercial), Agricultural Tractor, Trailer (Commercial), Trailer (Agricultural), Trailer For Personal Use, Semi-Trailer (Commercial), Modular Hydraulic Trailer, Articulated Vehicle\n\nConstruction & Heavy Equipment:\nConstruction Equipment Vehicle, Construction Equipment Vehicle (Commercial), Earth Moving Equipment, Excavator (Nt), Excavator (Commercial), Dumper, Bulldozer, Road Roller, Crane Mounted Vehicle, Snorked Ladders, Tower Wagon, Tree Trimming Vehicle, Fork Lift, Vehicle Fitted With Rig, Vehicle Fitted With Compressor, Vehicle Fitted With Generator, Auxiliary Trailer
What do we mean by low carbon transport: Understanding how people move in Cape Town. (Kane, L. (2016))
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Raw.csv - Raw csv created from the powerBI table
Philippines script.R - converts raw data into TDCI SDMX formatted and harmonized
Philippines_TDC_formatted.csv
Philippines_TDC_harmonized.csv - TDCI SDMX harmonized data.
N.B. data for 2021 covers January to March and is omitted from harmonized data.
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This is the list of codes for the VEHICLE_TYPE concept in TDC Harmonized data, expressed in original (SDMX-ML, or XML) and derived formats.
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Files:
EUROSTAT_Med Script.R - reads raw data from API and formats to TDC SDMX format
EUROSTAT_Med_TDC_formatted.csv - TDCI SDMX formatted data
New vehicle sales and vehicle production in ASEAN member states by vehicle type. Files are available annually from the website.
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AAF_Statistics_2023.pdf - Raw annual pdf dataset from website
AAF_Statistics_2023_tables.xlsx - Raw digitalised datasets
ASEAN script.R - Formats raw files into TDC SDMX format
Sales_motor_vehicles_TDC_formatted.csv
Sales_motorcycles_TDC_formatted.csv
Production_motor_vehicles_TDC_formatted.csv
Production_motorcycles_TDC_formatted.csv
Possession of private and civil vehicles China extracted from NBS data portal.
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Possession of private vehicles.csv - Raw file from website
Possession of civil vehicles.csv - Raw file from website
China stock script.R - converts raw files to TDC formatted SDMX
China_stock_TDC_formatted.csv - TDC SDMX formatted data (maintaining original vehicle classifications)
The Transport Knowledge Base (TraKB) is an open, curated platform that brings together key data points on sustainable, low-carbon transport. The TraKB primarily supports the SLOCAT Transport, Climate and Sustainability Global Status Report. It consolidates data and information from available data sources, enabling to generate insights on global and national transport trends.
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"id": "5c9c937b-7487-4d8e-8cff-bcbbc6890c43", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/YE.png", "name": "yem", "title": "Yemen" }, { "description": "", "display_name": "Zambia", "id": "9718b994-4821-4776-ad02-379f35860f36", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/ZM.png", "name": "zmb", "title": "Zambia" }, { "description": "", "display_name": "Zimbabwe", "id": "2a2c030b-49d2-4c3e-8079-eb5405e69954", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/ZW.png", "name": "zwe", "title": "Zimbabwe" } ], "resources": [ { "cache_last_updated": null, "cache_url": null, "created": "2025-12-09T07:17:36.952441", "datastore_active": true, "description": null, "format": "XLSX", "hash": "726693e81e71b8e24ae1618541254736", "hide_preview": false, "id": "d10c37c7-0d0a-4e69-98a2-2303de14247b", "is_new": true, "last_modified": null, "metadata_modified": "2025-12-09T07:17:56.994963", "mimetype": null, "mimetype_inner": null, "name": "TraKB_Version_0-5.xlsx", "package_id": "d0a23d04-eee4-4909-942a-43464ba76fa8", "position": 0, "preview": true, "preview_rows": 39, "resource_type": "data", "size": 6387565, "state": "active", "total_record_count": 39, "url": "https://ckan.tdc.prod.datopian.com/dataset/d0a23d04-eee4-4909-942a-43464ba76fa8/resource/d10c37c7-0d0a-4e69-98a2-2303de14247b/download/trakb-version-0-5-uapwwz.xlsx", "url_type": "upload" } ], "tags": [ { "display_name": "climate change", "id": "f0919ee8-e1a4-49cb-b82c-b58d6538f45e", "name": "climate change", "state": "active", "vocabulary_id": null }, { "display_name": "data", "id": "40c435e5-08fb-4084-97de-41805bae42b2", "name": "data", "state": "active", "vocabulary_id": null }, { "display_name": "sustainability", "id": "32ff4493-c502-45d9-9b44-cbf4e695a5db", "name": "sustainability", "state": "active", "vocabulary_id": null } ], "relationships_as_subject": [], "relationships_as_object": [] }, { "author": null, "author_email": null, "contributors": [ "9cc4ce74-ccae-43c0-ac82-78c9bd7d21b1" ], "creator_user_id": "9cc4ce74-ccae-43c0-ac82-78c9bd7d21b1", "frequency": "not_planned", "geographies": [ "ner" ], "id": "4dbef779-6e4e-45b2-a382-072d872517b8", "indicators": [], "is_archived": false, "isopen": false, "language": "fr", "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2025-11-03T22:54:26.992308", "metadata_modified": "2025-12-05T17:02:31.673505", "modes": [ "two-three-wheelers", "cars", "private-cars", "taxis", "truck", "bus" ], "name": "motor-vehicle-registrations-by-type", "notes": "Vehicle registrations by segment. Niger 2017-2021
Vehicle stock by segment. Niger 2017-2021
", "num_resources": 9, "num_tags": 2, "organization": { "id": "bb98c8fc-bd71-443e-899f-349c09c3c3f2", "name": "ministere-des-transports-republique-du-niger", "title": "Ministere des Transports - Republique du Niger", "type": "organization", "description": "", "image_url": "", "created": "2025-11-03T22:49:24.068170", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "annuaire_statistique_transport_2017_2021.pdf is the original report
Vehicle registrations:
VehicleRegistrations.pdf is the extracted dataset for vehicle registrations.
New_regs.xlsx is the dataset in Excel format for vehicle registrations.
NER_New_regs_TDC_formatted.csv is the dataset in SDMX format for vehicle registrations.
NER_new_regs_TDC_harmonized.csv is the dataset in SDMX format with harmonized Mode for vehicle registrations.
Vehicle Stock:
VehicleStock.pdf is the extracted dataset for vehicle stock.
VehicleStock.xlsx is the dataset in Excel format for vehicle stock.
NER_Stock_TDC_formatted.csv is the dataset in SDMX format for vehicle stock.
NER_Stock_TDC_harmonized.csv is the dataset in SDMX format with harmonized Mode for vehicle stock.
", "owner_org": "bb98c8fc-bd71-443e-899f-349c09c3c3f2", "private": false, "regions": [ "afr" ], "related_datasets": [], "sectors": [ "road" ], "services": [], "state": "active", "tdc_category": "tdc_harmonized", "temporal_coverage_end": "2021-12-31", "temporal_coverage_start": "2017-01-01", "title": "Motor vehicle registrations and stock by vehicle type, Niger 2017-2021", "topics": [ "vehicles" ], "type": "dataset", "units": [], "url": "https://stat-niger.org/wp-content/uploads/annuaire_bulletin/annuaire/annuaire_statistique_transport_2017_2021.pdf", "version": null, "groups": [ { "description": "", "display_name": "Africa", "id": "4134a6a9-62ff-4eb0-b8d2-eb841896043a", "image_display_url": "", "name": "afr", "title": "Africa" }, { "description": "", "display_name": "Niger", "id": "e5b0c595-3b3c-4fa2-b5a5-51b4261805da", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/NE.png", "name": "ner", "title": "Niger" }, { "description": "", "display_name": "Vehicles & Road 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"4dbef779-6e4e-45b2-a382-072d872517b8", "position": 4, "resource_type": "data", "size": 174579, "state": "active", "url": "https://ckan.tdc.prod.datopian.com/dataset/4dbef779-6e4e-45b2-a382-072d872517b8/resource/06029bb1-ee23-4604-969a-6aa5ee0d97c4/download/vehicleregistrations-ccixjr.pdf", "url_type": "upload" }, { "cache_last_updated": null, "cache_url": null, "created": "2025-12-05T17:02:21.063929", "datastore_active": true, "description": null, "format": "XLSX", "hash": "946f9c97eb8a175693c0da2159176b4e", "hide_preview": false, "id": "d5917233-b9a8-4df8-a490-7f7b234d1555", "is_new": true, "last_modified": null, "metadata_modified": "2025-12-05T17:02:27.872448", "mimetype": null, "mimetype_inner": null, "name": "New_regs.xlsx", "package_id": "4dbef779-6e4e-45b2-a382-072d872517b8", "position": 5, "preview": true, "preview_rows": 11, "resource_type": "data", "size": 9604, "state": "active", "total_record_count": 11, "url": "https://ckan.tdc.prod.datopian.com/dataset/4dbef779-6e4e-45b2-a382-072d872517b8/resource/d5917233-b9a8-4df8-a490-7f7b234d1555/download/new-regs-m6at5t.xlsx", "url_type": "upload" }, { "cache_last_updated": null, "cache_url": null, "created": "2025-12-05T17:02:21.729627", "datastore_active": true, "description": null, "format": "XLSX", "hash": "f412604a07b9e4cc522703a6202c0ee4", "hide_preview": false, "id": "623a90a5-9d9d-48fa-a4d1-aa6823160dbe", "is_new": true, "last_modified": null, "metadata_modified": "2025-12-05T17:02:29.277434", "mimetype": null, "mimetype_inner": null, "name": "VehicleStock.xlsx", "package_id": "4dbef779-6e4e-45b2-a382-072d872517b8", "position": 6, "preview": true, "preview_rows": 8, "resource_type": "data", "size": 9497, "state": "active", "total_record_count": 8, "url": "https://ckan.tdc.prod.datopian.com/dataset/4dbef779-6e4e-45b2-a382-072d872517b8/resource/623a90a5-9d9d-48fa-a4d1-aa6823160dbe/download/vehiclestock-thdrrb.xlsx", "url_type": "upload" }, { "cache_last_updated": null, "cache_url": null, "created": "2025-12-05T17:02:22.681769", "datastore_active": true, "description": null, "format": "CSV", "hash": "496f00f9b782947af86eaf9e88452856", "hide_preview": false, "id": "0c254dde-8808-4943-bf92-9fa1fac4056e", "is_new": true, "last_modified": null, "metadata_modified": "2025-12-05T17:02:30.970839", "mimetype": null, "mimetype_inner": null, "name": "NER_New_regs_TDC_formatted.csv", "package_id": "4dbef779-6e4e-45b2-a382-072d872517b8", "position": 7, "preview": true, "preview_rows": 50, "resource_type": "data", "size": 2620, "state": "active", "total_record_count": 50, "url": "https://ckan.tdc.prod.datopian.com/dataset/4dbef779-6e4e-45b2-a382-072d872517b8/resource/0c254dde-8808-4943-bf92-9fa1fac4056e/download/ner-new-regs-tdc-formatted-akv4tj.csv", "url_type": "upload" }, { "cache_last_updated": null, "cache_url": null, "created": "2025-12-05T17:02:23.827572", "datastore_active": true, "description": null, "format": "CSV", "hash": "a0eda16495f3283eb2a7e1095b7fffab", "hide_preview": false, "id": "db507511-47a5-4287-aaf1-c1178eaca7a3", "is_new": true, "last_modified": null, "metadata_modified": "2025-12-05T17:02:31.682628", "mimetype": null, "mimetype_inner": null, "name": "NER_new_regs_TDC_harmonized.csv", "package_id": "4dbef779-6e4e-45b2-a382-072d872517b8", "position": 8, "preview": true, "preview_rows": 35, "resource_type": "data", "size": 1278, "state": "active", "total_record_count": 35, "url": "https://ckan.tdc.prod.datopian.com/dataset/4dbef779-6e4e-45b2-a382-072d872517b8/resource/db507511-47a5-4287-aaf1-c1178eaca7a3/download/ner-new-regs-tdc-harmonized-17f1sf.csv", "url_type": "upload" } ], "sources": [ { "title": "Annuaire Statistique 2017-2021", "url": "https://stat-niger.org/wp-content/uploads/annuaire_bulletin/annuaire/annuaire_statistique_transport_2017_2021.pdf" } ], "tags": [ { "display_name": "Vehicle stock", "id": "5b083d43-d358-4047-9c02-6367f76fb8c1", "name": "Vehicle stock", "state": "active", "vocabulary_id": null }, { "display_name": "vehicle registrations", "id": "89f323d8-e835-4ebf-95a9-c57d56eb772e", "name": "vehicle registrations", "state": "active", "vocabulary_id": null } ], "relationships_as_subject": [], "relationships_as_object": [] }, { "author": null, "author_email": null, "contributors": [ "10524929-bc8f-4418-9cd6-00759da5f7a0" ], "creator_user_id": "10524929-bc8f-4418-9cd6-00759da5f7a0", "frequency": "not_planned", "geographies": [ "mus" ], "id": "badd27c8-57d3-4d5e-ae30-bbd975e7ad8b", "indicators": [], "is_archived": false, "isopen": false, "language": "en", "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2025-11-21T16:22:31.674818", "metadata_modified": "2025-12-05T10:11:27.833101", "modes": [ "two-three-wheelers", "cars", "taxis", "truck", "bus" ], "name": "vehicle-stock-mauritius", "notes": "Vehicles registered in the national stock by vehicle type
", "num_resources": 4, "num_tags": 1, "organization": { "id": "fd6e2ccf-ca2e-4da0-b85d-56ad8f7592d0", "name": "statistics-mauritius", "title": "Statistics Mauritius", "type": "organization", "description": "Statistical Office of the Government of Mauritius", "image_url": "", "created": "2025-11-21T16:08:22.779440", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Files:
HS_RT_RTA _Yr24 _271025.xlsx - Raw file from website
Mauritius stock script.R - Converts raw data into TDC SDMX formatted
Mauritius_stock_TDC_formatted.csv - TDC SDMX formatted data
Mauritius_stock_TDC_harmonized.csv - TDC SDMX formatted and harmonized data, vehicle modes are remapped to harmonized categories
New and second hand imported vehicles registered 2021 - 2024
", "num_resources": 8, "num_tags": 3, "organization": { "id": "ed20bb15-3e50-4ccb-bd03-2e1600703049", "name": "nlta-mauritius", "title": "NLTA Mauritius", "type": "organization", "description": "National Land Transport Authority Mauritius", "image_url": "", "created": "2025-11-21T16:52:17.467001", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Data is available annually and split by month. These are formatted into an excel using AI.
Files:
Registration of New and Second-Hand Vehicle in December- 2021.pdf
Registration of New and Second-Hand Vehicle in December- 2022.pdf
Registration of New and Second-Hand Vehicle in December- 2023.pdf
Registration of New and Second-Hand Vehicle in December- 2024.pdf
New vehicle registrations Mauritius.xlsx - Raw data compiled into excel format
Mauritius new registrations script.R - converts raw data into SDMX formatted
Mauritius_new_registrations_TDC_formatted.csv - TDC SDMX formatted
Mauritius_new_registrations_TDC_harmonized.csv - TDC SDMX formatted and modes mapped to TDC harmonised categories
New vehicle registrations, new sales and used imports to Guinea 2015-2022 from Annuaire Statistique 2022
", "num_resources": 5, "num_tags": 3, "organization": { "id": "45f8997e-00dd-4f75-86c1-370b9ae4d178", "name": "ins-guinea", "title": "INS Guinea", "type": "organization", "description": "Institut National de la Statistique de Guinee", "image_url": "", "created": "2025-11-21T17:30:20.882118", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Files:
Annuaire_Statistique_2022_VF_INS.pdf - Annual statistical report
Tableau 19_24.csv - Raw data extracted from tableau 19.24
Guinea script.R - formats raw data into TDC SDMX format
Guinea_TDC_formatted.csv - TDC SDMX formatted data
Guinea_TDC_harmonized.csv - TDC SDMX harmonized data
New registrations by vehicle type 2012-2016
", "num_resources": 4, "num_tags": 1, "organization": { "id": "23c1509d-a86d-4a85-a563-6738a563aff8", "name": "togo-data-portal", "title": "Togo Data Portal", "type": "organization", "description": "", "image_url": "", "created": "2025-12-03T13:38:30.915136", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Files:
ObservationData.xlsx - Raw data file downloaded from Togo Data Portal
Togo script.R - Converts raw data into TDC formatted data
Togo_New_Registrations_TDC_formatted.csv - TDC SDMX formatted data (maintaining original vehicle categories)
Togo_New_Registrations_TDC_harmonized.csv - TDC SDMX formatted data and mapped to harmonized MODE.
New vehicle registrations and total vehicle stock by vehicle type
", "num_resources": 6, "num_tags": 2, "organization": { "id": "67856c4a-aaec-47c9-976f-2f596e267287", "name": "agency-for-statistics-of-bosnia-herzegovina", "title": "Agency for Statistics of Bosnia Herzegovina", "type": "organization", "description": "", "image_url": "", "created": "2025-12-03T14:15:33.011244", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Files:
TRA_04.xls - Raw data file downloaded from official source
BIH script.R - converts raw data into TDC formatted files
Bosnia Herzegovina_New_Registrations_TDC_formatted.csv - TDC SDMX formatted data (maintaining original vehicle classifications)
Bosnia Herzegovina_Stock_TDC_formatted.csv - TDC SDMX formatted data (maintaining original vehicle classifications)
Bosnia Herzegovina_New_Registrations_TDC_harmonized.csv - TDC SDMX formatted data (remapping original vehicle classifications to TDC harmonized categories using EUROSTAT estat mapping)
Bosnia Herzegovina_Stock_TDC_harmonized.csv - TDC SDMX formatted data (remapping original vehicle classifications to TDC harmonized categories using EUROSTAT estat mapping)
New vehicle registrations by type 2015-2021 from ANNUAIRE STATISTIQUE 2022 published 2023
", "num_resources": 2, "num_tags": 1, "organization": { "id": "063fde24-ed0c-4c97-91dc-2a61d5e902d4", "name": "instad-benin", "title": "INStaD Benin", "type": "organization", "description": "Institut National de la Statistique et de la D\u00e9mographie Benin", "image_url": "", "created": "2025-11-21T17:48:59.178797", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Files:
Annuaire_2022_Valid\u00e9.pdf - Annual statistical report (latest available)
Stock_table.xlsx - Data extracted from table 12.03
Data from \"Parc automobile immatricul\u00e9 au Burundi au cours de l\u2019ann\u00e9e 2023\" Published 2025
New vehicle registrations by vehicle type 2019 - 2023
New passenger car registrations by age group 2021 - 2023
New vehicle registrations by age group 2023
New bus registrations by age group 2021 - 2023
Files:
Parc_Automobile_Burundi _2023.pdf - Annual report
Parc_automobile_Burundi_Stats.xlsx - Raw data from annex tables b, c, d, j
Burundi script.R - converts raw data into TDC SDMX formats
Burundi_new_registrations_by_vehicle_type_TDC_formatted.csv - Annual new vehicle registrations in SDMX format
Burundi_car_registrations_by_age_TDC_formatted.csv - Annual new car registrations by age in SDMX format
Burundi_new_registrations_by_age_TDC_formatted.csv - Annual new vehicle registrations by age in SDMX format
Burundi_bus_by_age_TDC_formatted.csv - Annual new bus registrations by age in SDMX format
The latest edition of the IRF World Road Statistics is available for free through the IRF Data Warehouse. This edition encompasses data for the years 2018 - 2023, for over 200 countries and territories, and over 200 indicators.
", "num_resources": 3, "num_tags": 3, "organization": { "id": "1958e2d1-649a-4b19-8091-29b520a7a42f", "name": "irf", "title": "International Road Federation (IRF)", "type": "organization", "description": "The International Road Federation (IRF) is a global, independent, not-for-profit organisation with headquarters in Geneva, Switzerland. Active since 1948, IRF is a membership-based organisation, representing leading corporate and institutional players drawn from the road and mobility sectors worldwide.", "image_url": "irf-logo-2024-vn4iy0.png", "created": "2024-11-15T07:35:53.714960", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "This dataset provides information on the total number of injuries and fatalities resulting from road crashes, as well as the number of fatal and injury crashes. It also includes gender-disaggregated data on road injuries and fatalities, with further breakdowns by road type (such as motorway or national roads) and by category of road user (including drivers, passengers, and pedestrians).
Road categories available:
Motorways/Highways
Main/National roads
Secondary/Regional roads
Other roads (urban and rural)
Road user categories available:
Driver of a four-wheel vehicle
Passenger of a four-wheel vehicle
Users of motorised two or three-wheeled vehicles
Pedal cycle users
Pedestrians
Other users
The latest edition of the IRF World Road Statistics is available for free through the IRF Data Warehouse. This edition encompasses data for the years 2018 - 2023, for over 200 countries and territories, and over 200 indicators.
", "num_resources": 3, "num_tags": 2, "organization": { "id": "1958e2d1-649a-4b19-8091-29b520a7a42f", "name": "irf", "title": "International Road Federation (IRF)", "type": "organization", "description": "The International Road Federation (IRF) is a global, independent, not-for-profit organisation with headquarters in Geneva, Switzerland. Active since 1948, IRF is a membership-based organisation, representing leading corporate and institutional players drawn from the road and mobility sectors worldwide.", "image_url": "irf-logo-2024-vn4iy0.png", "created": "2024-11-15T07:35:53.714960", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Contains data on road network expenditure (in million USD) for construction, maintenance, and other costs (operation, research, administration, etc.) disaggregated by administrative level.
Also contains data on road revenue (in million USD) concerning fuel tax, toll and other sources.
Construction expenditure on roads
Expenditure on new construction and extension of existing roads, including reconstruction, renewal and major repairs.
Maintenance expenditure on roads
Expenditure for keeping roads in working order. This includes surface maintenance, patching and running repairs /work relating to roughness of carriageway's wearing course, roadsides, etc.).
Other expenditures on roads
Other expenditures on roads, such as, operations, research, administration, etc.
Expenditures by administrative level
Central government
Regional and local government
Private sector
The latest edition of the IRF World Road Statistics is available for free through the IRF Data Warehouse. This edition encompasses data for the years 2018 - 2023, for over 200 countries and territories, and over 200 indicators.
", "num_resources": 3, "num_tags": 2, "organization": { "id": "1958e2d1-649a-4b19-8091-29b520a7a42f", "name": "irf", "title": "International Road Federation (IRF)", "type": "organization", "description": "The International Road Federation (IRF) is a global, independent, not-for-profit organisation with headquarters in Geneva, Switzerland. Active since 1948, IRF is a membership-based organisation, representing leading corporate and institutional players drawn from the road and mobility sectors worldwide.", "image_url": "irf-logo-2024-vn4iy0.png", "created": "2024-11-15T07:35:53.714960", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Contains data on CO2 emissions (in million tonnes/year) disaggregated by transport mode.
Available transport modes:
Road transport
Rail transport
Inland waterway transport (covers navigable rivers, lakes, canals and estuaries)
The latest edition of the IRF World Road Statistics is available for free through the IRF Data Warehouse. This edition encompasses data for the years 2018 - 2023, for over 200 countries and territories, and over 200 indicators.
", "num_resources": 3, "num_tags": 3, "organization": { "id": "1958e2d1-649a-4b19-8091-29b520a7a42f", "name": "irf", "title": "International Road Federation (IRF)", "type": "organization", "description": "The International Road Federation (IRF) is a global, independent, not-for-profit organisation with headquarters in Geneva, Switzerland. Active since 1948, IRF is a membership-based organisation, representing leading corporate and institutional players drawn from the road and mobility sectors worldwide.", "image_url": "irf-logo-2024-vn4iy0.png", "created": "2024-11-15T07:35:53.714960", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Contains data on the number of vehicles produced, registered, imported (used, new) and exported (used, new) by vehicle type.
Vehicle categories:
Private Car
Buses and Motor coaches
Vans & Pick-ups (Light goods road vehicles)
Lorries & Road Tractors (Semi-trailer trucks)
Motorcycle & Mopeds
The latest edition of the IRF World Road Statistics is available for free through the IRF Data Warehouse. This edition encompasses data for the years 2018 - 2023, for over 200 countries and territories, and over 200 indicators.
", "num_resources": 3, "num_tags": 3, "organization": { "id": "1958e2d1-649a-4b19-8091-29b520a7a42f", "name": "irf", "title": "International Road Federation (IRF)", "type": "organization", "description": "The International Road Federation (IRF) is a global, independent, not-for-profit organisation with headquarters in Geneva, Switzerland. Active since 1948, IRF is a membership-based organisation, representing leading corporate and institutional players drawn from the road and mobility sectors worldwide.", "image_url": "irf-logo-2024-vn4iy0.png", "created": "2024-11-15T07:35:53.714960", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "This dataset captures disaggregated freight transportation activity data, measured in tonne-kilometres, by transport mode.
Key Variables
Tonne-kilometres: Unit of measurement of goods transport which represents the transport of one tonne over one kilometre. The distance to be considered is the distance actually run.
Available modes include:
Road transport
Rail transport, excluding trams or metro systems
Inland waterway transport (covers navigable rivers, lakes, canals and estuaries)
The latest edition of the IRF World Road Statistics is available for free through the IRF Data Warehouse. This edition encompasses data for the years 2018 - 2023, for over 200 countries and territories, and over 200 indicators.
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Key Variables
Passenger-kilometres: Unit of measurement which represents the transport of one passenger over one kilometre. The distance to be considered is the distance actually run.
Available modes include:
Road transport (disaggregated data on public and private transport)
Rail transport, excluding trams or metro systems
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Key Variables
Vehicle-kilometres: The primary metric, representing the total distance travelled by vehicles of a given class. Calculated as the sum of each vehicle\u2019s kilometres driven within the specified scope.
Vehicle class: Categorical variable identifying the type of vehicle contributing to the recorded traffic. Common classes include:
Passenger cars
Buses and Motor Coaches
Vans and Pickups
Lorries and Road Tractors
Motorcycles and Mopeds
Road category: Categorical variable describing the roadway context. Typical categories include:
Motorway / Highway
Main or National roads
Secondary or Regional roads
Other roads (urban or rural)
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4. Lorries & Road Tractors (Semi-trailer trucks)
5. Motorcycle & Mopeds
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", "owner_org": "1958e2d1-649a-4b19-8091-29b520a7a42f", "private": false, "regions": [ "worldwide" ], "related_datasets": [], "sectors": [ "road" ], "services": [ "passenger", "freight" ], "state": "active", "tdc_category": "public", "temporal_coverage_end": "2023-12-31", "temporal_coverage_start": "2000-01-01", "title": "Energy consumption - IRF World Road Statistics 2025", "topics": [ "transport-emissions" ], "type": "dataset", "units": [ "tonnes of oil equivalent", "tonnes" ], "url": "https://worldroadstatistics.org", "version": null, "groups": [ { "description": "", "display_name": "Transport Emissions", "id": "ea8f50c2-2651-46ef-8aeb-64af70577522", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/2024-11-28-205105.955205transport-emissions.png", "name": "transport-emissions", "title": "Transport Emissions" }, { "description": "", "display_name": "Worldwide", "id": "5ae71d21-e8dd-464f-9223-9e3d8509266c", "image_display_url": "", "name": "worldwide", "title": "Worldwide" } ], "resources": [ { "_datastore_active": false, "cache_last_updated": null, "cache_url": null, "created": "2024-11-15T07:45:51.673616", "datastore_active": false, "description": null, "format": "webpage", "hash": "", "hide_preview": false, "id": "b66229f1-923c-478d-82da-2c6d66e5e9b2", "is_new": false, "last_modified": null, "metadata_modified": "2025-02-26T16:28:39.456161", "mimetype": null, "mimetype_inner": null, "name": "Energy consumption", "package_id": "bd2d7d12-fc0f-45b4-bbf2-f7029f4b8138", "position": 0, "resource_type": "data", "size": null, "state": "active", "url": "https://worldroadstatistics.org/get-data/", "url_type": null }, { "_datastore_active": false, "cache_last_updated": null, "cache_url": null, "created": "2025-03-11T15:27:26.575992", "datastore_active": false, "description": null, "format": "PDF", "hash": "", "hide_preview": false, "id": "6ee4f88f-796f-4233-8838-5baa1e6c0c1d", "is_new": false, "last_modified": null, "metadata_modified": "2025-11-12T15:27:40.330681", "mimetype": null, "mimetype_inner": null, "name": "WRS-Definitions.pdf", "package_id": "bd2d7d12-fc0f-45b4-bbf2-f7029f4b8138", "position": 1, "resource_type": "documentation", "size": 46707, "state": "active", "url": "https://ckan.tdc.prod.datopian.com/dataset/bd2d7d12-fc0f-45b4-bbf2-f7029f4b8138/resource/6ee4f88f-796f-4233-8838-5baa1e6c0c1d/download/wrs-definitions-t9ebmh.pdf", "url_type": "upload" }, { "cache_last_updated": null, "cache_url": null, "created": "2025-11-12T15:27:40.620142", "datastore_active": false, "description": null, "format": "PDF", "hash": "", "hide_preview": false, "id": "002479c5-cd16-4836-a4bf-f40eed11d1ed", "last_modified": null, "metadata_modified": "2025-11-12T15:27:40.936662", "mimetype": null, "mimetype_inner": null, "name": "WRS2025_Indicators.pdf", "package_id": "bd2d7d12-fc0f-45b4-bbf2-f7029f4b8138", "position": 2, "resource_type": "documentation", "size": 328524, "state": "active", "url": "https://ckan.tdc.prod.datopian.com/dataset/bd2d7d12-fc0f-45b4-bbf2-f7029f4b8138/resource/002479c5-cd16-4836-a4bf-f40eed11d1ed/download/wrs2025-indicators-iq2wvo.pdf", "url_type": "upload" } ], "sources": [ { "title": "IRF", "url": "https://www.irfofficial.org" } ], "tags": [ { "display_name": "Energy", "id": "d436f55c-f724-4d8c-9424-9372fd0d1c38", "name": "Energy", "state": "active", "vocabulary_id": null }, { "display_name": "Energy intensity", "id": "3c171030-5675-4489-8656-ea46d1d3f4ad", "name": "Energy intensity", "state": "active", "vocabulary_id": null } ], "relationships_as_subject": [], "relationships_as_object": [] }, { "author": null, "author_email": null, "contributors": [ "10524929-bc8f-4418-9cd6-00759da5f7a0" ], "creator_user_id": "10524929-bc8f-4418-9cd6-00759da5f7a0", "frequency": "not_planned", "geographies": [ "zwe" ], "id": "6c1ca6ab-6908-48db-908b-f4950f50c17c", "indicators": [], "is_archived": false, "isopen": false, "language": "en", "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2025-11-10T09:47:34.526099", "metadata_modified": "2025-11-10T13:11:17.146301", "modes": [ "cars", "truck", "bus" ], "name": "new-vehicle-registrations-zimbabwe", "notes": "New vehicle registrations by weight class. Data sourced from Quarterly Transport Statistics Brief.
", "num_resources": 5, "num_tags": 1, "organization": { "id": "56fc182d-f47f-4dd6-964e-0d2e238a6e52", "name": "zimbabwe-national-statistics-agency", "title": "Zimbabwe National Statistics Agency", "type": "organization", "description": "Zimbabwe National Statistics Agency", "image_url": "", "created": "2025-11-10T09:43:09.384379", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Files:
Q1_TRANSPORT_STATISTICS_REPORT_2025.pdf - Quarterly report
Appendix Table1.xlsx
Zimbabwe script.R - converts raw data into TDC SDMX formats
Zimbabwe_Annual_TDC_formatted.csv - Annual total new vehicle registrations in SDMX format
Zimbabwe_Monthly_TDC_formatted.csv - Monthly new vehicle registrations in SDMX format
Transport Infrastructure Statistics Report 2023 Annex tables 1, 2, 3, 7.
Data includes vehicle stock by public and private ownership and new registrations of privately owned vehicles
", "num_resources": 4, "num_tags": 2, "organization": { "id": "16d88b21-c732-4f4d-8bb1-691809ab51f0", "name": "statistics-botswana", "title": "Statistics Botswana", "type": "organization", "description": "National Statistical Office of Botswana", "image_url": "", "created": "2025-11-10T09:32:07.909968", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "This was the latest available annual report. More recent quarterly reports are available at: https://www.statsbots.org.bw/ -> Publications -> Statistical Publications -> Sector (Transport & Infrastructure Statistics)
Files:
Transport Infrastruture Statistics Report 2023.pdf - Annual report
Tables.xlsx - Raw data from report Annex, Tables 1, 2, 3, 7
Botswana script.R - Formats Tables.xlsx into TDC SDMX compliant
Botswana_TDC_formatted.csv - TDC SDMX formatted data
Table III.3.3 from Anuario estadistico 2022.
Vehicle stock by vehicle type and region
", "num_resources": 4, "num_tags": 1, "organization": { "id": "813645ff-a127-47f6-acc5-eea86415de06", "name": "inide-nicaragua", "title": "INIDE Nicaragua", "type": "organization", "description": "Instituto Nacional de Informacion de Desarollo", "image_url": "", "created": "2025-11-10T08:50:53.156404", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Files:
ANUARIO_ESTADISTICO2022.pdf - The annual statistical report from 2022 (later versions not available)
Table III_3_3.csv - raw data of table III.3.3
Nicaragua script.R - Cleans raw data and converts to TDC formatted
Nicaragua_Stock_TDC_formatted.csv - TDC SDMX formatted data for national total only (not split by region).
Vehicle stock (*from insured vehicles) and new vehicle registrations from annual 'Traffic and Transport' report.
Tables 2.01 - Insured vehicles on the road
Tables 2.04 - New registrations
", "num_resources": 5, "num_tags": 2, "organization": { "id": "792d7803-b097-450a-ac48-425545062c5e", "name": "algemeen-bureau-voor-de-statistiek-suriname", "title": "Algemeen Bureau voor de Statistiek Suriname", "type": "organization", "description": "Statistics Agency Suriname", "image_url": "", "created": "2025-11-06T17:27:42.933337", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Files:
Verkeers-en-Vervoersstatistieken-2018-2021-Juni-2023.pdf - 'Traffic and Transport' report
Suriname data.xlsx - Raw data taken from PDF
Suriname script.R - Takes raw data and formats to TDC SDMX
Suriname_Stock_TDC_formatted.csv - TDC formatted data for the vehicle stock
Suriname_New_Registations_TDC_formatted.csv - TDC formatted data for the new vehicle registrations
ANUARIO ESTAD\u00cdSTICO PARAGUAY 2022
Table 11.1.3 Autovehiculos registrados por clase de vehiculo, segun departamento ano 2022
", "num_resources": 4, "num_tags": 2, "organization": { "id": "921fa2b2-6837-49db-af12-22d704684320", "name": "estadistica-paraguay", "title": "Estadistica Paraguay", "type": "organization", "description": "Instituto Nacional de Estadistica de Paraguay", "image_url": "", "created": "2025-11-06T16:55:41.895748", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Files:
autovehiculos_registrados_paraguay_2022.csv - Raw data from annual statistical report Table 11.1.3
Paraguay script.R - formats raw data into TDC_formatted
Paraguay_stock_2022_TDC_format.csv - Stock by vehicle type aggregated to national level (regions are dropped)
Annual Registration Motor Vehicles, Guyana: 2000 to 2023
", "num_resources": 3, "num_tags": 1, "organization": { "id": "c2180753-3b3f-4b93-a856-322666bbe8bd", "name": "statistics-guyana", "title": "Statistics Guyana", "type": "organization", "description": "Bureau of Statistics\nServing Guyana's Data Needs", "image_url": "", "created": "2025-11-06T17:19:18.353859", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Files:
Guyana Data.xlsx - Raw data sourced from URL
Guyana script.R - Formats raw data into TDC formatted
Guyana_New_Registrations_TDC_formatted.csv - TDC formatted data (only annual, quarterly data is omitted).
Data includes vehicles registered in Kazakhstan by region, vehicle type, engine capacity, age, ownership type and fuel type
", "num_resources": 1, "num_tags": 1, "organization": { "id": "24b1b118-f2b7-4b21-ac02-6413abeb411d", "name": "kazakhstan-bureau-of-national-statistics", "title": "Kazakhstan Bureau of National Statistics", "type": "organization", "description": "", "image_url": "", "created": "2025-10-24T15:35:34.064418", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Data is published monthly by KNBS here: https://stat.gov.kz/en/industries/business-statistics/stat-transport/
\"On the number of vehicles in the Republic of Kazakhstan\"
", "owner_org": "24b1b118-f2b7-4b21-ac02-6413abeb411d", "private": false, "regions": [ "asi" ], "related_datasets": [], "sectors": [], "services": [ "passenger", "freight" ], "state": "active", "tdc_category": "public", "temporal_coverage_end": "2025-08-31", "temporal_coverage_start": "2025-08-31", "title": "Kazakhstan Vehicle Stock", "topics": [ "vehicles" ], "type": "dataset", "units": [], "url": "https://stat.gov.kz/en/industries/business-statistics/stat-transport/", "version": null, "groups": [ { "description": "", "display_name": "Asia", "id": "b5f57a5d-785a-4b5f-b639-1d125c177c9f", "image_display_url": "", "name": "asi", "title": "Asia" }, { "description": "", "display_name": "Kazakhstan", "id": "646ded76-c977-4691-9ec7-b97320b5b254", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/KZ.png", "name": "kaz", "title": "Kazakhstan" }, { "description": "", "display_name": "Vehicles & Road Traffic", "id": "06f0a222-39b1-44e3-b2f2-bdddf1223db5", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/2024-11-28-205106.556671vehicles-and-road-traffic.png", "name": "vehicles", "title": "Vehicles & Road Traffic" } ], "resources": [ { "cache_last_updated": null, "cache_url": null, "created": "2025-10-24T15:49:53.134253", "datastore_active": true, "description": null, "format": "XLSX", "hash": "276f9775bd030322d22237fad84e89d9", "hide_preview": false, "id": "577d981b-6b0c-417c-8d77-df525ed9139f", "is_new": true, "last_modified": null, "metadata_modified": "2025-10-24T15:49:55.444034", "mimetype": null, "mimetype_inner": null, "name": "\u0422-09-03-\u041c (09_2025) \u0430\u043d\u0433.xlsx", "package_id": "1ebe488a-3b2f-42e4-a6f4-99784c881365", "position": 0, "preview": true, "preview_rows": 12, "resource_type": "data", "size": 112603, "state": "active", "total_record_count": 12, "url": "https://ckan.tdc.prod.datopian.com/dataset/1ebe488a-3b2f-42e4-a6f4-99784c881365/resource/577d981b-6b0c-417c-8d77-df525ed9139f/download/-09-03-09-2025-ilthz4.xlsx", "url_type": "upload" } ], "sources": [ { "title": "KBNS", "url": "https://stat.gov.kz/en/industries/business-statistics/stat-transport/" } ], "tags": [ { "display_name": "vehicle registrations", "id": "89f323d8-e835-4ebf-95a9-c57d56eb772e", "name": "vehicle registrations", "state": "active", "vocabulary_id": null } ], "relationships_as_subject": [], "relationships_as_object": [] }, { "author": null, "author_email": null, "contributors": [ "10524929-bc8f-4418-9cd6-00759da5f7a0" ], "creator_user_id": "10524929-bc8f-4418-9cd6-00759da5f7a0", "frequency": "not_planned", "geographies": [ "mys" ], "id": "df0e84f8-9048-4ddc-b738-6a3bec640dbd", "indicators": [], "is_archived": false, "isopen": false, "license_title": null, "maintainer": null, "maintainer_email": null, "metadata_created": "2025-10-24T15:26:36.647395", "metadata_modified": "2025-10-24T15:26:39.772004", "modes": [ "private-cars", "truck" ], "name": "malaysia-sales-and-production-statistics", "notes": "SUMMARY OF NEW PASSENGER & COMMERCIAL VEHICLES REGISTERED IN MALAYSIA FOR THE YEAR 2010 TO 2023
SUMMARY OF PASSENGER & COMMERCIAL VEHICLES PRODUCED AND ASSEMBLED IN MALAYSIA FOR THE YEAR 2010 TO DECEMBER 2023
", "num_resources": 4, "num_tags": 3, "organization": { "id": "3f2a314c-dec1-4302-b987-10e7f774e36b", "name": "malaysian-automotive-association", "title": "Malaysian Automotive Association", "type": "organization", "description": "The Malaysian Automotive Association (MAA) was established in November 1960. It was originally established as the Federation of Malaya Motor Traders Association (FMMTA) as an association for local motor traders to discuss issues relating to the motor industry which, at that time, involved mainly the import and distribution of motor vehicles in Completely Built-up (CBU) form. In 1968, FMMTA was changed to Malaysian Motor Traders Association (FMMTA).\nIn 2000, MAA was formed following the merger of MMTA and the Malaysian Motor Vehicles Assemblers Association (MMVAA).\nOver the years, MAA had grown and assumed a much greater role encompassing both the trade as well as the manufacturing aspects of the industry.", "image_url": "", "created": "2025-10-24T15:13:41.637836", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Files:
Malaysia MAA summary.xlsx includes data directly from the source
MAA script.R formats the data to TDC SDMX standard
MAA_Sales_TDC_formatted.csv includes SDMX formatted data for vehicle sales
MAA_Production_TDC_formatted.csv includes SDMX formatted data for vehicle production
Monthly production and sales of vehicles split by model and vehicle type
", "num_resources": 5, "num_tags": 3, "organization": { "id": "a6c9c4ac-c06a-4f47-82c6-bcf3722e1988", "name": "pakistan-automotive-manufacturers-association", "title": "Pakistan Automotive Manufacturers Association (PAMA)", "type": "organization", "description": "Licensed by the Ministry of Commerce, Government of Pakistan under the Trade Organizations Ordinance 2007 and registered under the Companies Ordinance 1984 as a company with limited liability.", "image_url": "", "created": "2025-10-21T09:44:26.750336", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "Data included:
five-years-11.xlsx : the raw unaltered file available from the link
PAMA_raw_totals.csv : This is a manually compiled table of all totals (not at model level detail)
PAMA_clean.R : This is the R cleaning script to convert from PAMA_raw_totals.csv to the TDC formatted tables
PAMA_monthly_TDC_formatted.csv : This data is produced by PAMA_clean.R. It formats the data into TDC SDMX but does not change vehicle categories, years or months
PAMA_monthly_TDC_annual.csv : This data is produced by PAMA_clean.R. It formats the data into TDC SDMX but does not change vehicle categories. Since the raw data is reported for periods from July to June each year this script maps to years and aggegates the data to annual level, data from 2007 and 2025 are omitted as the full year is not available.
Data collected from annual Economic Survey publications published by the Kenya National Bureau of Statistics - Table 14.4 \"New Registration of Motor Vehicles\".
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Transport energy sources
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Disclaimer:
This fact sheet is part of the SLOCAT Transport, Climate and Sustainability Global Status Report - 4th Edition. Information shown in this country fact sheet is based on desk research and might not be complete or not show the most recent status. The data has been collected to the best knowledge and availability. If no information was able to be retrieved, then \u2018Not available\u2019 is being indicated. The content does not represent the opinion of the SLOCAT Partnership.
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The European Rail Traffic Management System (ERTMS) is composed of automatic train protection, radio communication and automated train operation. The European Train Control System (ETCS) is the standard European system for automatic train protection. It ensures a high level of safety, reliability, performance and interoperability at European level - not only at national level like other Train Protection Systems (TPS). Some countries have decided to deploy ETCS on their entire rail network, thus going beyond the EU legal requirements of deployment on trans-European transport network (TEN-T). The current TEN-T policy states that ERTMS shall be deployed in full on the core railway network by 2030.
The types of signaling are classified as: track-based (ETCS level 1), radio-signal (ETCS level 2).
The data is available for the following countries: Belgium, Bulgaria, Czechia, Denmark, Germany, Estonia, Ireland, Greece, Spain, France, Croatia, Italy, Latvia, Lithuania, Luxembourg, Hungary, Netherlands, Austria, Poland, Portugal, Romania, Slovenia, Slovakia, Finland, Sweden, Switzerland, United Kingdom.
The dataset is updated annually.
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"ltu" ], "id": "2e179165-78f6-4aec-b22f-6ff8cd95c664", "indicators": [ "passenger transported" ], "is_archived": false, "isopen": true, "language": "en", "license_id": "CC-BY-4.0", "license_title": "Creative Commons Attribution 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "maintainer": null, "maintainer_email": null, "metadata_created": "2024-11-15T06:15:00.230396", "metadata_modified": "2025-07-18T15:35:56.195711", "modes": [ "heavy-rail", "high-speed-rail", "transit-rail" ], "name": "passengers-transported-rail-eurostat", "notes": "The Eurostat dataset displays the annual amount of passengers transported by rail (unit: millions of passenger-kilometres, thousand passengers) by countries for the years 2004-2024.
", "num_resources": 1, "num_tags": 2, "organization": { "id": "5d4daaa9-a50c-4462-84c6-2bbc8dd31539", "name": "eurostat", "title": "EUROSTAT", "type": "organization", "description": "Eurostat is the statistical office of the European Union. ", "image_url": "logoestat-ruk6qe.png", "created": "2024-11-14T13:11:07.584506", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "The Eurostat dataset displays the annual amount of passengers transported by rail (unit: millions of passenger-kilometres, thousand passengers) by countries for the years 2004-2024.
The data is available for the following countries: Belgium, Bulgaria, Czechia, Denmark, Germany, Estonia, Ireland, Greece, Spain, France, Croatia, Italy, Latvia, Lithuania, Luxembourg, Hungary, Netherlands, Austria, Poland, Portugal, Romania, Slovenia, Slovakia, Finland, Sweden, Liechtenstein, Norway, Switzerland, United Kingdom, Bosnia and Herzegovina, Montenegro, Moldova, North Macedonia, T\u00fcrkiye.
The dataset is updated annually.
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"maintainer": null, "maintainer_email": null, "metadata_created": "2024-11-15T07:37:40.977686", "metadata_modified": "2025-05-22T23:11:35.469568", "modes": [ "bus" ], "name": "bus-registrations-by-fuel-type-eu-2022", "notes": "The dataset contains information about new bus registrations by fuel type in the European Union in 2022. The data covers new medium and heavy buses and coaches over 3.5 tonnes.
", "num_resources": 1, "num_tags": 3, "organization": { "id": "0af3fd37-4bf3-4980-8d17-f8f2d5a9e070", "name": "acea", "title": "ACEA", "type": "organization", "description": "The European Automobile Manufacturers\u2019 Association, or ACEA, unites Europe\u2019s 16 major car, truck, van and bus makers.", "image_url": "acea-logo-dqry6u.png", "created": "2024-11-15T07:29:49.757165", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "The dataset contains detailed information on new bus registrations by fuel type (electrically chargeable, hybrid electric, alternative fuels, petrol, diesel) and by market. Data is available for the EU (individual member states and aggregated), Iceland, Norway, Switzerland and the United Kingdom, for the year 2022.
Datasets presented in the report include:
New bus registrations, by market and fuel type (in units, 2021 and 2022)
New bus registrations, by market and fuel type (market share, 2022)
ACEA provides similar datasets for the years 2019-2021 on their website (see Sources).
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"car-registrations-by-fuel-type-eu-q4-2022", "notes": "The dataset contains information about new passenger car registrations by fuel type in the European Union in the fourth quarter (Q4) of 2022 and compares it to the numbers for 2023. The dataset also contains registrations for Q1-Q4 2021 and 2022.
", "num_resources": 1, "num_tags": 3, "organization": { "id": "0af3fd37-4bf3-4980-8d17-f8f2d5a9e070", "name": "acea", "title": "ACEA", "type": "organization", "description": "The European Automobile Manufacturers\u2019 Association, or ACEA, unites Europe\u2019s 16 major car, truck, van and bus makers.", "image_url": "acea-logo-dqry6u.png", "created": "2024-11-15T07:29:49.757165", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "The dataset contains detailed information on new passenger registrations by fuel type (BEV, PHEV, HEV, NGV, petrol, diesel, others) and by market. Data is available for the EU (individual member states, EU12, EU14 and aggregated), Iceland, Norway, Switzerland and the United Kingdom, for the fourth quarter (Q4) of 2022 and compares the numbers with 2021. The dataset also contains registrations for Q1-Q4 2021 and 2022.
Datasets presented in the report include:
Battery electric vehicles (BEV) - EU + EFTA + UK
- Includes fuel cell electric vehicles (FCEV)
Plug-in hybrid electric vehicles (PHEV) - EU + EFTA + UK
- Includes extended-range electric vehicle (EREV)
Hybrid electric vehicles (HEV) - EU + EFTA + UK
- Includes full and mild hybrids
Natural gas vehicles (NGV) - EU + EFTA + UK
Other alternatively-powered vehicles - EU + EFTA + UK
- Includes LPG, ethanol (E85) and other fuels
Petrol - EU + EFTA + UK
ACEA updates its press releases every quarter on their website. Information about other time periods is available on their website (see Sources).
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"https://ckan.tdc.prod.datopian.com/uploads/group/SI.png", "name": "svn", "title": "Slovenia" }, { "description": "", "display_name": "Spain", "id": "f2c1ee8b-4a76-4547-9d39-8849e1964cc8", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/ES.png", "name": "esp", "title": "Spain" }, { "description": "", "display_name": "Sweden", "id": "a75513d5-c594-4755-a4a0-242e8df264ec", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/SE.png", "name": "swe", "title": "Sweden" }, { "description": "", "display_name": "Switzerland", "id": "5eefb0b4-6934-4dd6-bd19-80a31150e646", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/CH.png", "name": "che", "title": "Switzerland" }, { "description": "", "display_name": "United Kingdom of Great Britain and Northern Ireland", "id": "f447f05d-27b8-45a8-839b-cb16502e7585", "image_display_url": "https://ckan.tdc.prod.datopian.com/uploads/group/GB.png", "name": "gbr", "title": "United Kingdom of Great 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"https://ckan.tdc.prod.datopian.com/dataset/a1d38823-477b-4bee-9e65-5e65ce433886/resource/fb322059-a6a8-4983-aaeb-da19ba126099/download/20230201-prpc-fuel-q4-2022-final-1-qklx3s.pdf", "url_type": "upload" } ], "sources": [ { "title": "ACEA press releases (2014 - 2022)", "url": "https://www.acea.auto/nav/?content=fuel-types-of-new-passenger-cars" }, { "title": "National automobile manufacturers associations", "url": "https://www.acea.auto/national-automobile-associations/" } ], "tags": [ { "display_name": "e-mobility", "id": "37f1ddfd-0438-42ee-a73e-0083acd3dacd", "name": "e-mobility", "state": "active", "vocabulary_id": null }, { "display_name": "fuel type", "id": "b1e8fe71-2487-4b15-8d60-6d456b5655a6", "name": "fuel type", "state": "active", "vocabulary_id": null }, { "display_name": "vehicle registrations", "id": "89f323d8-e835-4ebf-95a9-c57d56eb772e", "name": "vehicle registrations", "state": "active", "vocabulary_id": null } ], "relationships_as_subject": [], "relationships_as_object": [] }, { "approval_requested_by": "977c96ce-7fdd-4ed2-97df-99b8af7ae5ee", "author": null, "author_email": null, "contributors": [ "977c96ce-7fdd-4ed2-97df-99b8af7ae5ee" ], "creator_user_id": "f9197cfb-1929-48fd-9800-f740c25f423d", "current_approval_contributors": [ "977c96ce-7fdd-4ed2-97df-99b8af7ae5ee" ], "data_access": "publicly available", "data_provider": "ACEA", "dimensioning": "New commercial vehicle registrations distinguished by country and manufacturer", "frequency": "quarterly", "geographies": [ "hun", "isl", "svk", "lva", "dnk", "bel", "prt", "grc", "svn", "nld", "bgr", "esp", "lux", "hrv", "swe", "fra", "deu", "cze", "gbr", "nor", "aut", "ita", "cyp", "che", "rou", "irl", "mlt", "est", "ltu", "fin", "pol" ], "id": "ecdd9737-e45d-4825-80ef-abf95149547c", "indicators": [ "Vehicle Registration" ], "is_archived": false, "isopen": false, "language": "en", "license_id": "notspecified", "license_title": "License Not Specified", "maintainer": null, "maintainer_email": null, "metadata_created": "2024-11-15T07:37:38.595328", "metadata_modified": "2025-05-21T16:09:41.339523", "modes": [ "cars", "private-cars", "truck", "bus" ], "name": "commercial-vehicle-registrations-eu-h1-2024", "notes": "The dataset contains information about new commercial vehicle registrations in the European Union during the first half of 2024 and compares it to the numbers for 2023.
", "num_resources": 1, "num_tags": 3, "organization": { "id": "0af3fd37-4bf3-4980-8d17-f8f2d5a9e070", "name": "acea", "title": "ACEA", "type": "organization", "description": "The European Automobile Manufacturers\u2019 Association, or ACEA, unites Europe\u2019s 16 major car, truck, van and bus makers.", "image_url": "acea-logo-dqry6u.png", "created": "2024-11-15T07:29:49.757165", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "The dataset contains detailed information on new commercial vehicle registrations by fuel type (electrically chargeable, hybrid electric, alternative fuels, petrol, diesel) and by market. Data is available for the EU (individual member states and aggregated), Iceland, Norway, Switzerland and the United Kingdom, for the first half of 2024 and compares the numbers with 2023.
Datasets presented in the report include:
New van registrations (Light commercial vehicles up to 3.5 tonnes.
New medium truck registrations (Medium commercial vehicles between 3.5 and 16 tonnes)
New heavy truck registrations (Heavy commercial vehicles of 16 tonnes and over)
Total new truck registrations (Medium and heavy commercial vehicles over 3.5 tonnes)
New bus registrations (Medium and heavy buses over 3.5 tonnes)
ACEA updates the dataset every three months on their website. Information about other time periods is available on their website (see Sources).
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"est", "ltu", "fin", "pol" ], "id": "0391d0c0-c592-4e19-901e-eec11099fd81", "indicators": [ "Vehicle Registration" ], "is_archived": false, "isopen": false, "language": "en", "license_id": "notspecified", "license_title": "License Not Specified", "maintainer": null, "maintainer_email": null, "metadata_created": "2025-05-14T13:22:34.584673", "metadata_modified": "2025-05-21T15:54:48.399877", "modes": [ "truck" ], "name": "truck-registrations-eu-2022", "notes": "The dataset contains information about new medium and heavy commercial vehicle registrations by fuel type in the European Union in 2022.
", "num_resources": 1, "num_tags": 3, "organization": { "id": "0af3fd37-4bf3-4980-8d17-f8f2d5a9e070", "name": "acea", "title": "ACEA", "type": "organization", "description": "The European Automobile Manufacturers\u2019 Association, or ACEA, unites Europe\u2019s 16 major car, truck, van and bus makers.", "image_url": "acea-logo-dqry6u.png", "created": "2024-11-15T07:29:49.757165", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "The dataset contains detailed information on new medium and heavy commercial vehicle registrations by fuel type (electrically chargeable, hybrid electric, alternative fuels, petrol, diesel) and by market. Data is available for the EU (individual member states and aggregated), Iceland, Norway, Switzerland and the United Kingdom, for the year 2022.
Datasets presented in the report include:
New truck* registrations, by market and fuel type (in units, 2021 and 2022)
New truck registrations, by market and fuel type (market share, 2022)
ACEA provides similar datasets for the years 2019-2021 on their website (see Sources).
________________________________________________________________
*New medium and heavy commercial vehicles over 3.5 tonnes
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"lcv-registrations-by-fuel-type-eu-2022", "notes": "The dataset contains information about new LCV registrations (up to 3.5 tonnes) by fuel types in the European Union for the year 2022.
", "num_resources": 1, "num_tags": 3, "organization": { "id": "0af3fd37-4bf3-4980-8d17-f8f2d5a9e070", "name": "acea", "title": "ACEA", "type": "organization", "description": "The European Automobile Manufacturers\u2019 Association, or ACEA, unites Europe\u2019s 16 major car, truck, van and bus makers.", "image_url": "acea-logo-dqry6u.png", "created": "2024-11-15T07:29:49.757165", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "The dataset contains detailed information on new LCV registrations by fuel type (electrically chargeable, hybrid electric, alternative fuels, petrol, diesel) and by market. Data is available for the EU (individual member states and aggregated), Iceland, Norway, Switzerland and the United Kingdom, for the year 2022.
Datasets contained in the report include:
New van (up to 3.5 tonnes) registrations by fuel type: EU + EFTA + UK (in units)
New van registrations by fuel type: EU + EFTA + UK (market share, 2022)
ACEA provides similar datasets for the years 2019-2021 on their website (see Sources).
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A model of the GhG emission reduction by the EV market share for all the newly registered vehicles in Delhi in 2021.
A model of the potential GhG emission reduction for the scenario, where the market share of the internal combustion engine (ICE) vehicle segment, for the newly registered vehicles in Delhi in 2021, is converted to EV.
A model of the GhG emission reduction from public and private charging stations (CS) installation in Delhi, based on the Delhi EV Policy implementation targets at the time of calculation.
\r\nThe models were created by collecting and analyzing the electric vehicles registration data from Delhi in 2021 as well as the ICE vehicle registration data in 2021. Only the data for 2W, 3W and 4W has been considered. The study uses the bottoms up approach of the ASIF method for the modelling.\r\n
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The tool has been adapted for various countries. It supports transport policy development, climate impact assessments, and emissions accounting in rapidly motorizing regions.
", "num_resources": 1, "num_tags": 3, "organization": { "id": "8853c5af-0b1c-4d93-af4a-edbc64056938", "name": "giz", "title": "GIZ", "type": "organization", "description": "The Deutsche Gesellschaft f\u00fcr Internationale Zusammenarbeit (GIZ, English: German Agency for International Cooperation), is the main German development agency. It provides tailor-made services for sustainable development through international development cooperation and international education work.", "image_url": "gizlogo-standard-rgb-300-owuidq.jpg", "created": "2024-12-11T19:02:06.347594", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "The TrIGGER Tool calculates transport total fuel consumption and estimates the corresponding tank-to-wheel emissions for CO2, CH4 and N2O for a given country and year. GHG emissions are calculated for the following sectors: Road, railways, maritime and inland shipping. The results of the individual sectors are then used to analyse the country's modal split as well as its total GHG emissions related to domestic transport. The tool has been developed by GIZ and IFEU in the context of the project \"Advancing Transport Climate Strategies in Rapidly Motorising Countries\" (TraCS). It was initially tested for Vietnam and has been adapted for various countries. The project is financed through the International Climate Initiative of the German Federal Ministry for the Environment, Nature Conservation, and Nuclear Safety (BMU). The tool can be used for free, acknowledging GIZ, IFEU and BMUB. It is not allowed to use the tool for commercial purposes.
Data Type: Transport fuel & emissions inventory tool
Data Focus: Fuel consumption, emissions estimation, transport energy use
The Transport Inventory and Greenhouse Gas Emission Reporting (TrIGGER) Tool estimates fuel consumption and tank-to-wheel (TTW) greenhouse gas emissions (CO\u2082, CH\u2084, and N\u2082O) for the transport sector in a given country and year. The tool follows the IPCC 2006 guidelines for national GHG inventories and provides default emission factors for different transport modes.
The tool has been adapted for various countries. It supports transport policy development, climate impact assessments, and emissions accounting in rapidly motorizing regions.
", "num_resources": 1, "num_tags": 3, "organization": { "id": "8853c5af-0b1c-4d93-af4a-edbc64056938", "name": "giz", "title": "GIZ", "type": "organization", "description": "The Deutsche Gesellschaft f\u00fcr Internationale Zusammenarbeit (GIZ, English: German Agency for International Cooperation), is the main German development agency. It provides tailor-made services for sustainable development through international development cooperation and international education work.", "image_url": "gizlogo-standard-rgb-300-owuidq.jpg", "created": "2024-12-11T19:02:06.347594", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "The TrIGGER Tool calculates transport total fuel consumption and estimates the corresponding tank-to-wheel emissions for CO2, CH4 and N2O for a given country and year. GHG emissions are calculated for the following sectors: Road, railways, maritime and inland shipping. The results of the individual sectors are then used to analyse the country's modal split as well as its total GHG emissions related to domestic transport. The tool has been developed by GIZ and IFEU in the context of the project \"Advancing Transport Climate Strategies in Rapidly Motorising Countries\" (TraCS). It was initially tested for Vietnam and has been adapted for various countries. The project is financed through the International Climate Initiative of the German Federal Ministry for the Environment, Nature Conservation, and Nuclear Safety (BMU). The tool can be used for free, acknowledging GIZ, IFEU and BMUB. It is not allowed to use the tool for commercial purposes.
Data Type: Transport fuel & emissions inventory tool
Data Focus: Fuel consumption, emissions estimation, transport energy use
In this dataset the noise emissions by propulsion technolody type (decibel) that are caused by taxis have been estimated for Chile.
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The dataset focuses on the noise emission caused by taxis in Chile according to their propulsion technology (ICE, HEV, EV). The noise emissions are indicated in decibel.
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", "num_resources": 2, "num_tags": 3, "organization": { "id": "8853c5af-0b1c-4d93-af4a-edbc64056938", "name": "giz", "title": "GIZ", "type": "organization", "description": "The Deutsche Gesellschaft f\u00fcr Internationale Zusammenarbeit (GIZ, English: German Agency for International Cooperation), is the main German development agency. It provides tailor-made services for sustainable development through international development cooperation and international education work.", "image_url": "gizlogo-standard-rgb-300-owuidq.jpg", "created": "2024-12-11T19:02:06.347594", "is_organization": true, "approval_status": "approved", "state": "active" }, "overview_text": "The data was collected as part of the study \"Apoyo Mecanismo T\u00e9cnico para el Dise\u00f1o de un de Financiamiento para Electromovilidad en Chile \u2013 Taxis y Colectivos\", developed in the framework of the Moving Chile project for the Ministry of Energy by the Deutsche Gesellschaft f\u00fcr Internationale Zusammenarbeit (GIZ). The objectives of the study are the financial and socio-economic evaluation of the introduction of electromobility in the light public transport system and the development of financing mechanisms to promote this introduction.
The dataset focuses on the environmental costs caused by taxis in Chile. Environmental costs refer to all damages caused by environmental nuisances, such as health costs, noise, material damage, damage to the biosphere and long-term risks. The costs are indicated in thousands of CLP for the national average as well as the following cities: Arica, Iquique, Antofagasta, Copiap\u00f3, Coquimbo, Valpara\u00edso, Santiago, Rancagua, Talca, Cll\u00e1n, Concepci\u00f3n, Temuco, Valdivia, Puerto Montt, Coyhaique, Punta Arenas.
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Passenger cars by province and owner
Passenger cars, market structure
Passenger cars, press release tables
Passenger cars by fuel, chart
Industrial vehicles, Trailers and Semitrailers, monthly trend
Pubblicazione che contiene in particolare serie storiche a livello nazionale e regionale riguardanti parco veicolare, prime iscrizioni, radiazioni, trasferimenti di propriet\u00e0 di veicoli.
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Parque vehicular por tipo de veh\u00edculo
Parque vehicular seg\u00fan domicilio fiscal del contribuyente
Parque vehicular por tipo de contribuyente
Parque vehicular seg\u00fan g\u00e9nero
Parque vehicular seg\u00fan g\u00e9nero y provincia
Parque vehicular seg\u00fan la edad del propietario
Cantidad de veh\u00edculos de nuevo ingreso
Veh\u00edculos seg\u00fan a\u00f1o de fabricaci\u00f3n
Veh\u00edculos seg\u00fan origen y marca
Veh\u00edculos seg\u00fan color
Cantidad de traspasos
The Transport Inventory and Greenhouse Gas Emission Reporting (TrIGGER) Tool estimates fuel consumption and tank-to-wheel (TTW) greenhouse gas emissions (CO\u2082, CH\u2084, and N\u2082O) for the transport sector in a given country and year. The tool follows the IPCC 2006 guidelines for national GHG inventories and provides default emission factors for different transport modes.
The tool has been adapted for various countries. It supports transport policy development, climate impact assessments, and emissions accounting in rapidly motorizing regions.
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Data Type: Transport fuel & emissions inventory tool
Data Focus: Fuel consumption, emissions estimation, transport energy use
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This dataset presents an economic and financial model for the implementation of electric buses in Chile. Developed to assess the Total Cost of Ownership (TCO) and the financial feasibility of transitioning from diesel to electric buses, the dataset includes:
Operational and capital expenditures (OPEX & CAPEX) for different fleet scenarios
Economic & financial evaluations of bus fleet investment strategies
Fuel & maintenance cost comparisons between diesel and electric bus fleets
Social and environmental cost-benefit assessments
Projections for fleet operation and infrastructure investments
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This tool provides an economic and financial evaluation for the implementation of electric buses in urban passenger transport. It allows users to quantify costs and benefits, including private and social impacts, to support decision-making and investment in electromobility.
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SLOCAT maintained a database of electric mobility targets set by countries, regions, cities, companies and vehicle manufacturers. It tracked major announcements and developments supporting fleet electrification. Each item in the database featured a source and all information was based on publicly available materials. The database was last updated in April 2022. No further efforts have been put into data collection for this database.
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