IDB International Aid Transparency Initiative (IATI) Datasets: 2004–2018
Metadata & use
| Identifier | https://doi.org/10.60966/6rmo4nrx |
|---|---|
| License | Creative Commons Attribution–NonCommercial–NoDerivs 3.0 IGO |
| Citation |
Inter-American Development Bank (2016). IDB International Aid Transparency Initiative (IATI) Datasets: 2004–2018. IDB Open Data. https://doi.org/10.60966/6rmo4nrx |
| Published date | 2016-03-31 |
| Modified date | 2026-07-15 |
| Tags/Keywords | Activity · Documents · IATI · Projects |
| Language |
|
| Temporal coverage | 2004-2018 |
| Country |
Argentina
Bolivia
Brazil
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
Guatemala
Guyana
Haiti
Honduras
Jamaica
Mexico
Nicaragua
Peru
Puerto Rico
Suriname
Trinidad & Tobago
Uruguay
Venezuela
|
| Region | Latin America and the Caribbean |
| Publisher |
Inter-American Development Bank
|
| Author |
Inter-American Development Bank
|
| Data collection type | Transactional Data |
| Statistical type | Panel Data |
| Data structure | Structured Data |
| Data notes |
What is this dataset?The IDB IATI Dataset provides structured data published by the Inter-American Development Bank (IDB) under the International Aid Transparency Initiative (IATI). What is the purpose of the dataset?This dataset supports the IDB’s commitment to aid transparency by aligning with the IATI Standard for open development finance data. What information is included?The dataset is composed of four main components: Each record corresponds to an IDB sovereign-guaranteed operation reported in IATI. Which projects are included?Only sovereign-guaranteed loans and guarantees are included if they: Private-sector operations and non-sovereign windows are not part of this dataset. How often is the dataset updated?Updates occur periodically as part of IDB’s ongoing IATI data publication cycle, ensuring that new projects, transactions, and document links are reflected. What are the dataset’s limitations?
What research or applications does this dataset support?This dataset enables: How can IATI data be used for donor research and mapping?The dataset provides several variables that allow analysts to map donor-funded development activities. Each project includes an operation number, sector classification, country name, and approval timeline, while the geolocation dataset provides administrative-level geographic information. By linking these tables, researchers can analyze where projects occur geographically, which sectors receive funding, and how financial transactions evolve over time. How can IATI data be used to track humanitarian aid during rapid-onset crises?The dataset does not explicitly label humanitarian emergencies or crisis responses. However, analysts could track financial flows by examining transaction dates, disbursement amounts, and country-level project data to observe changes in funding patterns during major events. How does IATI data improve local government planning in developing countries?The dataset itself does not describe governance benefits. However, the available project and geolocation fields show sub-national administrative locations and project sectors, which could help local governments identify where development investments are occurring within their jurisdictions. How is sub-national geographic location data reported in IATI for project mapping?The dataset includes detailed geolocation information at multiple administrative levels (administrative levels 1–3). These fields allow analysts to map development activities geographically and identify where specific outputs or projects are implemented within a country. How can a government policymaker in a developing nation access IATI data for aid coordination?The dataset itself does not provide access instructions. However, it demonstrates how IATI-style data can support coordination by providing structured project information, sector classifications, financial transactions, and geographic locations that allow governments to analyze development investments by country and sector. What are the benefits of IATI data for academic researchers studying aid effectiveness?The dataset does not discuss research benefits explicitly. However, it contains structured fields such as project sectors, approval dates, disbursement timelines, and transaction values, which enable longitudinal analysis of development financing and sectoral investment patterns. How can NGOs use IATI data for project planning?The dataset does not provide direct guidance. However, NGOs could analyze existing projects, sector allocations, geographic locations, and financial disbursements to identify funding trends and gaps in development programs. |