DatasetAdded By Infochimps
The Statistical Abstract files are distributed by the US Census Department as Microsoft Excel files. These files have data mixed with notes and references, multiple tables per sheet, and, worst of all, the table headers are not easily matched to their rows and columns.
A few files had extraneous characters in the title. These were corrected to be consistent. A few files have a sheet of crufty gibberish in the first slot. The sheet order was shuffled but no data were changed.
The tables that were changed (this is table 1364):
0166 0257 0362 0429 0445 0446 0459 0461 0462 0464 0465 0466 0467 0469 0479 0480 0481 0482 0483 0484 0485 0486 0487 0559 0628 0629 1144 1227 1231
This dataset consists of a table of 29 rows and 24 columns.
165,182 represents $165,182,000,000. Net flow covers loans, grants, and grant-like flows minus amortization on loans. Military flows are excluded. Developing countries are designated by Development Assistance Committee (DAC) as developing. GNI = gross national income. For explanation of GNI, see headnote, Table 1315. Minus sign (-) indicates net inflow
- Grants or loans to countries and territories on Part I of the DAC List of Aid Recipients (developing countries)
which are: (a) undertaken by the official sector; (b) with promotion of economic development and welfare as
the main objective; © at concessional financial terms [if a loan, having a grant element of at least 25
per cent]. Technical cooperation is included in aid.
- Transactions by the official sector with countries on the List of Aid Recipients which do not meet the
conditions for eligibility as Official Development Assistance or Official Aid, either because they are not
primarily aimed at development, or because they have a grant element of less than 25 per cent.
- Consists of flows at market terms financed out of private sector resources (i.e. changes in holdings of private
long term assets held by residents of the reporting country) and private grants (i.e. grants by nongovernment
organizations, net of subsidies received from the official sector).
Public Domain (Government Work)
This dataset was prepared by the government and is therefore in the public domain. There are no restrictions upon its use.