THE ROLE OF FINANCIAL INSTITUTION IN HOUSING DEVELOPMENT IN NIGERIA (A CASE OF PORTHARCOUT METROPLI RIVER STATE), Is A Well-Researched Topic, It Is To Be Used As A Guide Or Framework For Your Research. (download in EPUB or PDF format).
One problem facing Inhabitants of Port Harcourt metropolis is Housing
and its financial Institution. The problem has come to a point that the state private, co-operation and Individuals should seat and finance Housing development and problems f Housing finance and sort our a desirable plan of tackling it.
With all this in mind, the researcher has taken pains to look into the
financial institutions in Port Harcourt metropolis the entire study concerns. Source of finance and problem of Housing Estate finance.
The financial Institution of Hosing development in River, state Port
Harcourt metropolis was discussed under five chapters with sections and
Chapter one dealt with the major problems of housing development
finance in Port Harcourt metropolis, Background of the study. Objectives of the study. Significance of study, delimitation, and limitation of the study.
Definition of terms.
Chapter Two dealt with the review of related literature.
Chapter three dealt with the research design and methodology used for the study sources of data, data analysis procedure, and analysis of data.
Chapter five dealt with recommendations and conclusions.
TABLE OF CONTENTS
TABLE OF CONTENTS
STATEMENT OF PROBLEM
BACKGROUND OF STUDY
OBJECTIVES F STUDY
SIGNIFICANCE OF STUDY
PET LIMITATIONS OF THE STUDY
LIMITATION OF THE STUDY
DEFINITION OF TERMS
FINANCES SITUATION IN NIGERIA
SOURCES OF FUNDS TO FIANACE HOUSING DEVELOPMENT
HOUSING DEVELOPMENT FINANCE PROBLEMS
HOUSING ESTATE AS AN INVESTMENT
ADVANTAGES OF HOUSING ESTATE INVESTMENT
RE: STATEMENT OF PROBLEM
THE STUDY AREA
SOURCES OF DATA
DATA ANALYSIS AND PROCEDURES
DATA PRESENTATION AND ANALYSIS
PRESENTATION OF DATA ON THE DISTRIBUTION OF FIANACIAL
INSTITUTIONS IN RIVERSTATE
FUNTIONS OF COMMERCIAL BANK
PRESENTATION OF DATA ON POPULATION FIGURES WITHIN
PRESENTATION OF DATA ON THE DISTRIBUTION OF
RECOMMENDATION AND CONCLUSION