Average transaction cost of sending remittances to a specific country (%)
Average transaction cost of sending remittances to a specific country (%) is a table on economy covering Global, published by Remittance Prices Worldwide, World Bank (WB), uri: http://remittanceprices.worldbank.org. Licence: CC BY 4.0; 4 columns.
About this dataset
Columns (4)
Sample rows
| iso3 | year | value | country |
|---|---|---|---|
| AFE | 2023 | Africa Eastern and Southern | |
| AFW | 2023 | Africa Western and Central | |
| ARB | 2023 | Arab World | |
| CSS | 2023 | Caribbean small states | |
| CEB | 2023 | Central Europe and the Baltics | |
| EAR | 2023 | Early-demographic dividend | |
| EAS | 2023 | East Asia & Pacific | |
| EAP | 2023 | East Asia & Pacific (excluding high income) |
A sample of the data. The full table and an interactive map open with a free account.
Questions about this data
What does Average transaction cost of sending remittances to a specific country (%) contain?
Average transaction cost of sending remittances to a specific country (%) is a table about economy. Its columns include country, iso3, year and value.
What area and years does it cover?
It covers Global. The publisher does not state the years it covers. It is updated annual.
Can I use it commercially?
Yes: its licence is CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), which allows commercial use with attribution where the licence requires it.
How do I cite it?
World Bank. Average transaction cost of sending remittances to a specific country (%) (SI.RMT.COST.IB.ZS). World Development Indicators.
How do I load it into a map?
Sign in to OrionGIS (free) and choose "Open in map" to load it into Map Studio or add it to a project, or download it to use in QGIS, ArcGIS or any GIS. The source format is JSON, CSV (mappable by country).
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This dataset presents a range of data items sourced from a wide variety of collections, both Australian Bureau of Statistics (ABS) and non-ABS. The data is derived from the 22 November 2023 release of Data by region (DBR) . Individual data items present the latest reference year data available on DBR. This layer presents data by Local Government Areas (LGA), 2021. The Economy and industry theme is based on groupings of data within Data by region (DBR). Concepts, sources and methods for each dataset can be found on the Data by region methodology page. The Economy and industry theme includes: Agricultural commodities Building approvals Counts of Australian businesses, including entries and exits Gross value of agricultural production Industry of employment (Census) Residential property prices Personal insolvencies Registered motor vehicles When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope, and coverage can differ across collections. Some data values have been randomly adjusted or suppressed to avoid the release of confidential data. In some cases small cells have been randomly altered to zero. Care should be taken when interpreting cells with small numbers or zeros. Made possible by the Digital Atlas of Australia The Digital Atlas of Australia is an Australian Government initiative being led by Geoscience Australia. It brings together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas. Contact the Australian Bureau of Statistics (ABS) If you have questions, feedback or would like to receive updates about this web service, please email geography@abs.gov.au. For information about how the ABS manages any personal information you provide view the ABS privacy policy. Data and geography references Source data publication: Data by region (DBR) Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Data by region methodology, reference period 2011-23 Source: Australian Bureau of Statistics (ABS)
Indexed by OrionGIS from World Bank Open Data (Indicators API v2). Data is loaded from the publisher's own server when you use it. Permanent link