FACTOID # 1: Most people live in poverty in most African countries.
 
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Correlations > Economy Statistics > Targeting of foreign aid

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Showing latest available data.

Correlations between Economy > Targeting of foreign aid ...

Variable Strength
...and  Economy > Development assistance to LDCs 78% [plot | correlate | graph]
...and  Lifestyle > Undesirable neighbours > Heavy drinkers (inverse) 58% [plot | correlate | graph]
...and  Economy > Exports of goods and services as % of GDP 49% [plot | correlate | graph]
...and  Economy > Exports > Goods and services 48% [plot | correlate | graph]
...and  People > Female population > Age 95-99 > % of the total (inverse) 47% [plot | correlate | graph]
...and  Lifestyle > Life satisfaction 43% [plot | correlate | graph]
...and  People > Total population > Age 95-99 > % of the total (inverse) 42% [plot | correlate | graph]
...and  Transportation > Cars (inverse) 41% [plot | correlate | graph]
...and  Environment > Threatened species > Mammal (inverse) 40% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of chemicals-fertilizers (inverse) 39% [plot | correlate | graph]
...and  Environment > Breeding birds threatened (inverse) 39% [plot | correlate | graph]
...and  Health > Births > Low birth weight (inverse) 39% [plot | correlate | graph]
...and  Environment > Endangered species protection (inverse) 38% [plot | correlate | graph]
...and  Health > Respiratory disease deaths 38% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Copper (inverse) 38% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of railway transportation equipment (inverse) 37% [plot | correlate | graph]
...and  Economy > World Trade > Exports > Iron steel railway material (inverse) 37% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of automotive tires and tubes (inverse) 37% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of marine engines, parts (inverse) 36% [plot | correlate | graph]
...and  Economy > Imports of goods and services as % of GDP 36% [plot | correlate | graph]
...and  Economy > Imports ratio of GDP 35% [plot | correlate | graph]
...and  Taxation > Components of taxation > Goods and service tax 35% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Hide skin excl fur raw (inverse) 35% [plot | correlate | graph]
...and  Economy > Imports > Goods and services 35% [plot | correlate | graph]
...and  Health > Consultation with doctors (inverse) 35% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Edible products nes (inverse) 33% [plot | correlate | graph]
...and  Economy > Trade with US > US imports of industrial inorganic chemicals (inverse) 33% [plot | correlate | graph]
...and  Economy > Trade with US > US exports of sports apparel and gear (inverse) 32% [plot | correlate | graph]
...and  Health > Breast cancer incidence 32% [plot | correlate | graph]
...and  Food > McDonalds restaurants (inverse) 32% [plot | correlate | graph]
...and  Energy > Electricity Generation > Terawatt-hours (inverse) 32% [plot | correlate | graph]
...and  People > Male population > Age 95-99 > % of the total (inverse) 32% [plot | correlate | graph]
...and  Energy > Electricity Generation > Terawatt-hours > Share of total (inverse) 32% [plot | correlate | graph]
...and  Disasters > Tsunami > Funds pledged (inverse) 31% [plot | correlate | graph]
...and  Health > Tobacco > Adult female smokers 31% [plot | correlate | graph]
...and  Disasters > Tsunami aid commitments as a percent of pledges 31% [plot | correlate | graph]
...and  Environment > Pollution > Carbon dioxide 1999 (inverse) 31% [plot | correlate | graph]
...and  People > Female population > Age 80-84 > % of the total (inverse) 31% [plot | correlate | graph]
...and  Economy > GDP growth > Duration 1980-2000 31% [plot | correlate | graph]
...and  Economy > GDP growth > Duration 1998-2002 30% [plot | correlate | graph]
...and  People > Female population > Age 80-84 (inverse) 30% [plot | correlate | graph]
...and  Economy > Trade in goods 30% [plot | correlate | graph]
...and  Sports > Olympic medals > Silver > Sydney 2000 (inverse) 30% [plot | correlate | graph]
...and  Lifestyle > Undesirable neighbours > Political extremists (inverse) 30% [plot | correlate | graph]
...and  People > Total population > Age 80-84 (inverse) 30% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Natural rubber latex etc (inverse) 30% [plot | correlate | graph]
...and  Energy > Primary Energy Consumption > Million tonnes oil equivalent (inverse) 30% [plot | correlate | graph]
...and  Energy > Primary Energy Consumption > Million tonnes oil equivalent > Share of total (inverse) 29% [plot | correlate | graph]
...and  Economy > World Trade > Imports > Electrical distribution equipment (inverse) 29% [plot | correlate | graph]
...and  Environment > CO2 Emissions (inverse) 29% [plot | correlate | graph]
Average: 36%

About Correlations:

A correlation is a statistical measure of similarity between at least two given sets of data. NationMaster's correlations compare two variables from our database and reveal statistical relationships between them. The percentages you see represent the strength (or likelihood) that a change in the topic variable is matched by a change in the listed variables below it. But remember: These correlations do not imply causation, that is, one does not necessarily cause the other. Also, not all variables contain all countries, rather subsets of countries matched together.

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NOTES:

  • Outliers have been removed only where they are outside 3 standard deviations of the mean.
  • Only variable pairs where at least 15 countries match for each have been considered.
  • Strength is given by the correlation coefficient (R squared). It is the fraction of variation in Y that can be attributed to the variation in X. 100% signifies a perfect fit (R squared of 1). The top 50 such stats are displayed



DEFINITION: Share of official development assistance from each donor country going to the least developed countries or poorest countries. This shows the efficient targeting of foreign aid.

SOURCE: OECD Development Assistance, p.253

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