The dataset captures 20,985 projects across 165 low- and middle-income countries supported by loans and grants from official sector institutions in China worth $1.34 trillion. It tracks projects over 22 commitment years (2000-2021) and provides details on the timing of project implementation over a 24-year period (2000-2023).
This dataset contains information about 100 loan contracts between Chinese state-owned entities and government borrowers in 24 developing countries in Africa, Asia, Eastern Europe, Latin America, and Oceania between 2000 and 2020, with commitments totaling $36.6 billion.
AidData is a research lab at William & Mary. They equip policymakers and practitioners with better evidence to improve how sustainable development investments are targeted, monitored, and evaluated. They use rigorous methods, cutting-edge tools, and granular data to answer the question: who is doing what, where, for whom, and to what effect? They believe that the global community needs a stronger evidence base to find signal in the noise as they target sustainable development investments, coordinate efforts, and monitor progress towards the UN's Sustainable Development Goals (SDGs). Towards that end, their research agenda catalyzes innovation in data, methods, and tools to help partners through five program areas: (1) Tracking underreported financial flows from opaque public and private donors, lenders, and investors who publicly disclose little about their spending priorities and activities; (2) Geographic and demographic tracking and targeting of sustainable development investments to ensure no one is left behind; (3) Understanding the priorities and perspectives of leaders in low and middle income countries, and measuring the performance of external development partners with open-ended and close-ended feedback data; (4) Rigorously evaluating the impacts and cost effectiveness of specific interventions and large investment portfolios with spatial data; and (5) Creating high-resolution, high- frequency measures of development outcomes, powerful spatial data integration and extraction infrastructure, and next-generation geospatial analysis tools.
This is the initial quality controlled version of all geocoded aid project locations in the Uganda Aid Management Platform. This is a government platform that records aid streams into and throughout Uganda. Taken from http://aiddata.org/geocoded-datasets
This dataset contains first-of-its-kind quantifiable data on China’s public diplomacy efforts from five of AidData’s reports—Ties That Bind, Influencing the Narrative, Silk Road Diplomacy, Listening to Leaders 2021, and Corridors of Power—that is available through AidData’s China’s Public Diplomacy Dashboard. This includes metrics for five types of public diplomacy: financial, cultural, elite-to-elite, exchange, and informational.
This is a sub-nationally georeferenced dataset of Chinese official finance activities that spans 50 African countries over the 2000-2012 period. It includes 1,952 Chinese development finance projects across 3,545 physical locations.
Two Excel files that fully replicate all figures and tables. Each file includes short ReadMe files to guide users: • “HowChinaLends_DataandResults” includes the raw data and derives all results and statistics that are presented in the paper and appendix. The data in this file is identical to the dataset posted on the AidData website (https://www.aiddata.org/data/how-china-lends-dataset-version-1-0). The source links are updated to direct users to our online repository. The ContractData sheet contains the full coding results for all 100 Chinese loan contracts and all 142 benchmark contracts from Cameroon. • HowChinaLends_ChartBook presents all tables and figures from the paper based on statistics derived from “HowChinaLends_DataandResults".
If you use the data, please cite as: Gelpern, A., Horn, S., Morris, S., Parks, B., & Trebesch, C. (2021). How China Lends: A Rare Look into 100 Debt Contracts with Foreign Governments. Peterson Institute for International Economics, Kiel Institute for the World Economy, Center for Global Development, and AidData at William & Mary.
Portal of information about international economic development assistance, dating back to 1947, that includes a database of nearly one million past and present aid activities around the world, aid information management services and tools, data visualization technologies, and research designed to increase understanding of development finance. AidData is searchable by topic such as disaster prevention, energy supply, water supply or reconstruction relief. You may also search by specific regions including Africa, Europe, America, Asia, or Oceania.
The 1.1 version of AidData's Chinese Official Finance to Africa dataset tracks 1,955 development finance activities in Africa from 2000 to 2012. The data includes both Chinese aid and non-concessional official financing.
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
This is the 1.0.1 version of the Level 1 product, of a sub-nationally georeferenced dataset of Chinese official finance activities between 2000 and 2014 in three ecologically sensitive regions -- the Tropical Andes in South America, the Great Lakes of Africa, and the Mekong Delta in Southeast Asia.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
IraqAIMS_GeocodedResearchRelease_Level1_v1.3.1
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
SomaliaAIMS_GeocodedResearchRelease_Level1_v1.1.1
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
NigeriaAIMS_GeocodedResearchRelease_Level1_v1.3.1_iati_v1.04
This dataset contains information about China’s portfolio of collateralized loans to borrowing institutions in low-income and middle-income countries that qualify as public and publicly-guaranteed (PPG) debt. It captures 620 collateralized PPG loan commitments worth $418 billion from 31 Chinese state-owned creditors to 158 borrowers in 57 countries between 2000 and 2021.
This dataset includes all geocoded projects in the DRC's Aid Management Platform (AMP). It tracks over $4 billion in commitments for 256 projects across 1,750 locations between 1998 and 2014.
This dataset includes all external assistance projects in Iraq's Development Assistance Database (DAD). It tracks over $10 billion in commitments for 1,324 projects across 3,624 locations between 2002 and 2014.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
TimorLesteAIMS_GeocodedResearchRelease_Level1_v1.4.1_iati_v2.03
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Qatar: Foreign aid and official development assistance received: The latest value from 2004 is 3.63 million U.S. dollars, a decline from 4.82 million U.S. dollars in 2003. In comparison, the world average is 389.15 million U.S. dollars, based on data from 167 countries. Historically, the average for Qatar from 1963 to 2004 is 1.95 million U.S. dollars. The minimum value, -0.02 million U.S. dollars, was reached in 1963 while the maximum of 6.34 million U.S. dollars was recorded in 1999.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
AfghanistanAIMS_GeocodedResearchRelease_Level1_v1.1.1
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
NepalAIMS_GeocodedResearchRelease_Level1_v1.4.1_iati_v1.04
The dataset captures 20,985 projects across 165 low- and middle-income countries supported by loans and grants from official sector institutions in China worth $1.34 trillion. It tracks projects over 22 commitment years (2000-2021) and provides details on the timing of project implementation over a 24-year period (2000-2023).