68/5000 Analysis of poverty indicators in the Iraqi countryside Using the style factor analysis

Qahtan Acialki, Sohair; Shaukat Al-Obeidi, Ali

	68/5000 Analysis of poverty indicators in the Iraqi countryside Using the style factor analysis
Journal of Administration and Economics
Article 1, Volume 0, Issue 100, 2018, Pages 17-29
Authors
Sohair Qahtan Acialki; Ali Shaukat al-Obeidi
Abstract
Poverty in Iraq is estimated at about 6.9 million from the total number of population; half of them (3.44 m) are living in the rural areas and the other half is urban with a rate between quarter and fifth the number of population (22.9%). The problem to be studied is to determine the poverty indicators in the rural areas of Iraq, as there reasons are many and to follow according to the needs priorities for the individuals to survive. Some think that the main cause of poverty is the lack of food, while others think that the rural people have deficient in their needs of all other living requirements. Data prepared by the Central Statistical System from the comprehensive survey during the period Oct.2006-Nov.2007 were used, and the factor analysis is used in analyzing data in two stages. The first stage was for a number of 13 factors represent the various kinds of foods, and shown that they were grouped in three communities: (1) meats, bread and cereals, milk, cheese and eggs, fruit, food products n.e.c., mineral waters, soft drink, fruit and vegetable juices, and vegetables. (2) oils and fats, coffee, tea and cocoa, sugar, jam, honey, chocolate & confectionery. (3) clothing, footwear, fish and seafood. The second stage for a number of 17 factors represent the various requirements for living has shown that they grouped in five communities: (1) clothing, footwear, food market prices, communication, miscellaneous goods and services, and medical products, appliances and equipment. (2) education, pre-primary and primary education, and secondary education. (3) health, and hospital services. (4) housing water, electricity, gas & other fuel market prices, imputed rentals for housing, and actual rentals for housing. (5) transport services, and transport. Two other factors were excluded from the analysis.

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