3.7.1
Demographical Presentation of TUMBA Sector
The total population of TUMBA Sector was 31223 in 2012.
According to
Report of Tumba Sector population 2012.The following results has been achieved
in Tumba Sector: the total population was 31223 composed by 15,084 Male and
16,139 Female. The sex ratio was 93.The population density was
1742 sq.km. This is not the current data because Sector population statistic is
not done every year and there won't be a dramatically change of population
within five year time. Source: Summary of the 2012 census provisional
results, NISR 2012
3.7.2 Geographical presentation of
TUMBA Sector
The 90% of the space or the Sector are located in the town.
Their squares are 18.1 km2 .The Tumba Sector boarders with NGOMA
Sector in North, MUKURA Sector in the South with the periphery of KIBIRIZI
Sector of GISAGARA District in the East and GISHAMVU Sector in the West. Tumba
Sector has 6 cells which are: Gitwa, Rango A, Rango B, Cyarwa, Cyimana and
Mpare. Tumba Sector also has 33 villages and is inhabited by around 31223
people, it has overpopulation where it is settled on 1,336/km2 and
it seems that Tumba Sector is one of Sector which has great number of
population. Tumba Sector is known at Intore's name called «INKERAMIHIGO
Z'INDATIRWABAHIZI».
3.7.3 Administrative structure of Tumba sector
SECTOR COUNCIL
EXECUTIVE SECRETARY
In charge of Civil Status+ Notary and Registry
=
In charge of Administrative
In charge of social affairs
Accounting
Agronomist, Forestry
Land manager
Veterinary
In charge of education
Secretary and customer care
Source: MINALOC, the Presidential Order
n° 28/01 of 06/7/2009
3.8 Data processing
Nachmias (1976: 143) assert that, data processing is a link
between data collection and data analysis. It involves the transformation of
the observation gathered from the fields into the system of categories and the
transformation of these categories into codes and amenable to quantitative
analysis and tabulation. Not all data can be presented in their entity. The
variables to be presented are those most central to the goals of the study;
generally variables include specifically in the research questions (Bailey,
1978: 321).
Data processing is classifying responses into categories
called codes. It consists of editing the schedules and coding the responses.
When the data has been coded, it can be analyzed (Frank et al., 1990).
Williamson (1982), cited that analyzing and processing data, the researcher
groups them together and process them in variety of ways, in order to show what
they mean and to facilitate their interpretation. This means that data
processing consists of translating raw information into meaningful and relevant
information for easy interpretation. The data processing part were discussed
editing; coding; and tabulation of the collected data which was processed
through the stages which link to data analysis.
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